From ccc7e353fcf58b9b507c0633e9579bf9630452da Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 30 Oct 2024 15:13:15 +0100 Subject: [PATCH 01/17] FIX: got rid of cloudtocloud away from publication --- .../DF_cloud_cloud_distance/code.py | 37 ------ .../DF_cloud_cloud_distance/icon.png | Bin 2780 -> 0 bytes .../DF_cloud_cloud_distance/metadata.json | 112 ------------------ .../diffCheck/df_error_estimation.py | 15 ++- 4 files changed, 11 insertions(+), 153 deletions(-) delete mode 100644 src/gh/components/DF_cloud_cloud_distance/code.py delete mode 100644 src/gh/components/DF_cloud_cloud_distance/icon.png delete mode 100644 src/gh/components/DF_cloud_cloud_distance/metadata.json diff --git a/src/gh/components/DF_cloud_cloud_distance/code.py b/src/gh/components/DF_cloud_cloud_distance/code.py deleted file mode 100644 index 494c2959..00000000 --- a/src/gh/components/DF_cloud_cloud_distance/code.py +++ /dev/null @@ -1,37 +0,0 @@ -#! python3 - -import System - -import Rhino -from ghpythonlib.componentbase import executingcomponent as component - -from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML - -from diffCheck import df_cvt_bindings -from diffCheck import df_error_estimation - - - -class DFCloudCloudDistance(component): - def RunScript(self, - i_cloud_source: System.Collections.Generic.List[Rhino.Geometry.PointCloud], - i_cloud_target: System.Collections.Generic.List[Rhino.Geometry.PointCloud], - i_swap: bool): - if i_cloud_source is None or i_cloud_target is None: - ghenv.Component.AddRuntimeMessage(RML.Warning, "Please provide both objects of type point clouds to compare") # noqa: F821 - return None - - # swap - if i_swap is True: - temp = i_cloud_source - i_cloud_source = i_cloud_target - i_cloud_target = temp - - # conversion - df_cloud_source_list = [df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cl_s) for i_cl_s in i_cloud_source] - df_cloud_target_list = [df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cl_t) for i_cl_t in i_cloud_target] - - # calculate distances - o_results = df_error_estimation.df_cloud_2_df_cloud_comparison(df_cloud_source_list, df_cloud_target_list) - - return o_results.distances, o_results.distances_mean, o_results.distances_rmse, o_results.distances_max_deviation, o_results.distances_min_deviation, o_results.distances_sd_deviation, o_results diff --git a/src/gh/components/DF_cloud_cloud_distance/icon.png b/src/gh/components/DF_cloud_cloud_distance/icon.png deleted file mode 100644 index 1ac975107fa62d0532d43dc0221f1df1e8e8b531..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2780 zcma)84QvzV8Fm6DKmb7zkWgrj3x%w3_Wjzv6K*heoTSvL7u@nE0rzM765D6)E+kuhZ7`&*k(^F%VX?;xaTQWX zL!=0#mKM%181h;^c+XzcG=1EOg|lWB?1FDX9qYFAYpXbt!Gej$^)t zz;j;eOwkFRv;6U;2Mez_hdZ;T`?%kIQe^hGRxG>N)b!2afi1^k?#2z)?Di3L*EdJz z9Dn{evE{?F)mv@HU)eBYS;;iE)mWEv&~*6W$%8lc93hQK?t(!mGY$3kvtubs}sT^F0vIGT*gqzH%FV}d6nViu!$99PBc}8qX2C%Ov|r|vV6IyL7W(nB6hg*a3c&! zf*qbsc~DQ(DF&sYrHVLfX^D?tTF%n~oc}U3t%?BzVNqkDs&FWxGF5gs&dY#%ec22{ zafnuKhaI{@Xb$KUr>uw&Z9)+qMKQ=qn|KsQNe-V1;V4d+QQVBu2x?()3xknR;sXPB zir{BTUG9W4@MMRBnigfu=E}-SQzc=Nm4F$eX_TQI97@98nXM0yQ&Nu~9Q-Le1f@o>&~MY6VMxaUzVTqE%mY zR5X{0s$8M)V!;wIqU9#d^~p(D>q!Kpa5SC4>TlwCCZW-wtjTIn{u$=f>y#0wAmftx3O&4HmmSu#Vg#9& z1SWpV**FVfC1}J-TKxz~6C%RecphPCoFoa_Y7_ic-MP+F98onk!izc&STRX}gdlki zwP3m_jUtplatKF=HpE7uI7|C+k>&8D{cDN@I+_hV9*@o=03OaSpf;MP5WfWkL$U;m z*l?Ug{3vZjQG((KUW6fCB*x(_w!^pyO+0!-tmc=MFc=UiBFL3$V%;Z&#aSAwi-1`% z3r5f+MOv&@ilh>VH$+7Rt*4V=sEGh^3OwTmR4nKtDa-~$b2Ji&uj&q-SOt+YPDNxj zS@Fqo$PUN%UY#nQFXI7IC$JjpVl@%CKtVF76~Qe&3}Y~wA?Yb7&Y(%KEJ*(9XM)Ck zia&*-3`H{pm1NahhXEA_y0iL#fhxdIsy`T~9Fi4}EP&7meH{A~E|OG`PIY3yXNijw zcOeOij~B!8eOxNLL=@n}A|GTU0TJv_p!NG;(o;HxxA?7A!ondoE0CEaaiB0piU>^; zewO!JF&mX)RAs+b$tt2F0Kx~A1x*X-m4)&W8vi2csWK?)0>-OLAsFogrNv3GTfydM ziv4MkK3h-sW%{`Pr>ffrdm^E}9oU;3W(X%u)K7DJtgd=8W_^q7)5QFwTt5n%94-eK zR9#FpQHB|8AXSi;X}6Q2T^1CxIdBI}xZF5t!(5cZVFR;_S}c9OLQ>LepRxJ>dx^*Q z*p{9&2Iqu+n>wMuL+XqZBcN>*aDwey`*tSy6LYE9uTD*SA~ZO^P{e=+N1dc zCY?O|MH$=mn-f#^{QkWMUA@a5WIJ-*Zg&S_$R1MP*6$DLt?8@m+5jx?wu=N;pbvf9&?>V+#6>yKTYt!_M9_gVWsLvT;}`dt~E z6KX58EE==gz992JZ|p(S(c3+lEsdQSrDy8~;IPry>|M1mR&!J2xsgV^`Y+V-`#m3A z$!i?b?`lp*hv(m&XNK)Dezy1B-(rsf9}U`Hdw=o;K9<$Xo_958G*7>K`TF&>TgbNY z!?{uLyfLRnhrao4+15=fXQyp~|26a8#OoWE67>+Xt)a`7ncHBj|89}c-O`=YlAAB<<+Tkx-U}5^a{E^;kHxrswR6UDlXJ^( DFVizResults: """ Compute the Euclidean distance for every point of a source pcd to its closest point on a target pointcloud """ - results = DFVizResults(DFAssembly()) - for source, target in zip(source_list, target_list): + results = DFVizResults( + DFAssembly( + [], "cloud-cloud-dummy-dfassembly" + )) + for source, target in zip(df_cloud_source_list, df_cloud_target_list): distances = np.asarray(source.compute_distance(target)) results.add(source, target, distances) From fcd8057123ebe7f84483833e608d98f5a97c989c Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 31 Oct 2024 00:02:49 +0100 Subject: [PATCH 02/17] FIX:catch up with main --- src/gh/diffCheck/diffCheck/df_util.py | 40 +++++++-------------------- 1 file changed, 10 insertions(+), 30 deletions(-) diff --git a/src/gh/diffCheck/diffCheck/df_util.py b/src/gh/diffCheck/diffCheck/df_util.py index b928984c..ba35f5e4 100644 --- a/src/gh/diffCheck/diffCheck/df_util.py +++ b/src/gh/diffCheck/diffCheck/df_util.py @@ -163,40 +163,20 @@ def get_doc_2_meters_unitf(): def merge_shared_indexes(original_dict): """ Merge the shared indexes of a dictionary - Assume we have a dictionary with lists of indexes as values. We want to merge the lists that share some indexes, in order to have a dictionary with, for each key, indexes that are not present under other keys. - :param original_dict: the dictionary to merge :return: the merged dictionary """ - merged_dict = {} - index_to_key = {} + new_dict = {} for key, (face, indexes) in original_dict.items(): - merged_indexes = set(indexes) - keys_to_merge = set() - - for index in indexes: - if index in index_to_key: - keys_to_merge.add(index_to_key[index]) - - for merge_key in keys_to_merge: - merged_indexes.update(merged_dict[merge_key][1]) - # del merged_dict[merge_key] - - for index in merged_indexes: - index_to_key[index] = key - - merged_dict[key] = (face, list(merged_indexes)) - - keys_with_duplicates = {} - - for key in merged_dict.keys(): - for other_key, (face, indexes) in merged_dict.items(): - if key in indexes: - if key not in keys_with_duplicates: - keys_with_duplicates[key] = [] - keys_with_duplicates[key].append(other_key) - - return merged_dict + intersection_found = False + for other_key, (other_face, other_indexes) in original_dict.items(): + if key != other_key: + if set(indexes).intersection(set(other_indexes)): + new_dict[key] = (face, list(set(indexes).union(set(other_indexes)))) + intersection_found = True + if not intersection_found: + new_dict[key] = (face, indexes) + return new_dict From eaa0447afcc0f180f5a18d68d5efa334bf8389ce Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 6 Nov 2024 13:27:41 +0100 Subject: [PATCH 03/17] ADD-WIP: unsure about this commit, leftover mods --- src/gh/diffCheck/diffCheck/df_error_estimation.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/src/gh/diffCheck/diffCheck/df_error_estimation.py b/src/gh/diffCheck/diffCheck/df_error_estimation.py index 1d337d5d..7a9776f1 100644 --- a/src/gh/diffCheck/diffCheck/df_error_estimation.py +++ b/src/gh/diffCheck/diffCheck/df_error_estimation.py @@ -178,9 +178,6 @@ def rh_cloud_2_rh_mesh_comparison( if swap: source_df, target = target, source_df - # FIXME: this is a hack to avoid that the assembly segmentator breaks this - # snippet because it is not stamping the rhino pout cloud with the sanity check - # user string value. sanity_check_value_uncasted = source_rh.GetUserString("df_sanity_scan_check") sanity_check_value = None if sanity_check_value_uncasted is None: From 926a9ec4b9d9394db6e15bcc7376d51e480c54f8 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Mon, 11 Nov 2024 22:17:03 +0100 Subject: [PATCH 04/17] FIX-ADD: no more distances in csv export, added distances export option as separate --- src/gh/components/DF_csv_exporter/code.py | 95 +++++++++++++++---- .../components/DF_csv_exporter/metadata.json | 12 +++ 2 files changed, 87 insertions(+), 20 deletions(-) diff --git a/src/gh/components/DF_csv_exporter/code.py b/src/gh/components/DF_csv_exporter/code.py index 0f1e4ca0..717cfb91 100644 --- a/src/gh/components/DF_csv_exporter/code.py +++ b/src/gh/components/DF_csv_exporter/code.py @@ -1,11 +1,12 @@ #! python3 +import csv +import os +import typing from ghpythonlib.componentbase import executingcomponent as component -from diffCheck.df_error_estimation import DFInvalidData -import csv -import os +from diffCheck.df_error_estimation import DFInvalidData, DFVizResults class DFCsvExporter(component): @@ -14,7 +15,10 @@ def __init__(self): self.prefix = "" self.counter = 0 - def _get_id(self, idx, i_result): + def _get_id(self, + idx: int, + i_result: DFVizResults + ) -> str: """ Get the ID of the element """ counter = 0 @@ -34,15 +38,18 @@ def _get_id(self, idx, i_result): return f"{idx_b}--{idx_j}--{idx_f}" counter += 1 - def _write_csv(self, file_path, rows): - """ Write the CSV file """ - with open(file_path, mode='w', newline='') as file: - writer = csv.writer(file) - writer.writerow([f"{self.prefix} id", "distances", "min_deviation", "max_deviation", "std_deviation", "rmse", "mean"]) - writer.writerows(rows) + def _prepare_row(self, + idx: int, + i_result: DFVizResults + ) -> typing.Dict: + """ + Convert the results contained in the DFVizResults object to a dict to be written in the CSV file + + :param idx: Index of the element + :param i_result: DFVizResults object containing all the values - def _prepare_row(self, idx, i_result): - """ Prepare a row for the CSV file """ + :return: Dict of values containng as keys the header and as items the values to be written in the CSV file + """ if i_result.sanity_check[idx].value != DFInvalidData.VALID.value: invalid_type = i_result.sanity_check[idx].name return [self._get_id(idx, i_result), invalid_type, invalid_type, invalid_type, invalid_type, invalid_type, invalid_type] @@ -53,16 +60,57 @@ def _prepare_row(self, idx, i_result): std_dev = round(i_result.distances_sd_deviation[idx], 4) rmse = round(i_result.distances_rmse[idx], 4) mean = round(i_result.distances_mean[idx], 4) - distances_str = ";".join(map(str, distances)) - return [self._get_id(idx, i_result), distances_str, min_dev, max_dev, std_dev, rmse, mean] + + row: typing.Dict = { + f"{self.prefix} id": self._get_id(idx, i_result), + "distances": distances, + "min_deviation": min_dev, + "max_deviation": max_dev, + "std_deviation": std_dev, + "rmse": rmse, + "mean": mean + } + return row + + def _write_csv(self, + csv_path: str, + rows: typing.List[typing.Dict], + is_writing_only_distances: bool = False + ) -> None: + """ + Write the CSV file + + :param csv_path: Path of the CSV file + :param rows: Dict of values to be written in the CSV file + :param is_writing_only_distances: Flag to check if to write ONLY distances or the whole analysis + + :return: None + """ + with open(csv_path, mode='w', newline='') as file: + writer = csv.writer(file, quoting=csv.QUOTE_MINIMAL) + if is_writing_only_distances: + writer.writerow(list(rows[0].keys())[:2]) # header + element_id = [row[f"{self.prefix} id"] for row in rows] + dist_rows = [row["distances"] for row in rows] + for idx, dist_row in enumerate(dist_rows): + for dist in dist_row: + writer.writerow([element_id[idx], dist]) + else: + rows = [{k: v for k, v in row.items() if k != "distances"} for row in rows] # no distances + writer.writerow(list(rows[0].keys())) # header + writer.writerows([list(row.values()) for row in rows]) def RunScript(self, i_dump: bool, i_export_dir: str, i_file_name: str, i_export_seperate_files: bool, + i_export_distances: bool, i_result): + csv_analysis_path: str = None + csv_distances_path: str = None + if i_dump: os.makedirs(i_export_dir, exist_ok=True) @@ -75,10 +123,17 @@ def RunScript(self, if i_export_seperate_files: for idx in range(len(i_result.source)): - element_id = self._get_id( idx, i_result) - file_path = os.path.join(i_export_dir, f"{i_file_name}_{self.prefix}_{element_id}.csv") - self._write_csv(file_path, [self._prepare_row(idx, i_result)]) + element_id = self._get_id(idx, i_result) + csv_analysis_path = os.path.join(i_export_dir, f"{i_file_name}_{self.prefix}_{element_id}.csv") + rows = [self._prepare_row(idx, i_result)] + self._write_csv(csv_analysis_path, rows) + if i_export_distances: + csv_distances_path = os.path.join(i_export_dir, f"{i_file_name}_{self.prefix}_{element_id}_distances.csv") + self._write_csv(csv_distances_path, rows, is_writing_only_distances=True) else: - file_path = os.path.join(i_export_dir, f"{i_file_name}.csv") - rows = [self._prepare_row(idx, i_result) for idx in range(len(i_result.source))] - self._write_csv(file_path, rows) + csv_analysis_path = os.path.join(i_export_dir, f"{i_file_name}.csv") + merged_rows = [self._prepare_row(idx, i_result) for idx in range(len(i_result.source))] + self._write_csv(csv_analysis_path, merged_rows) + if i_export_distances: + csv_distances_path = os.path.join(i_export_dir, f"{i_file_name}_distances.csv") + self._write_csv(csv_distances_path, merged_rows, is_writing_only_distances=True) diff --git a/src/gh/components/DF_csv_exporter/metadata.json b/src/gh/components/DF_csv_exporter/metadata.json index 149de386..d1cfbc99 100644 --- a/src/gh/components/DF_csv_exporter/metadata.json +++ b/src/gh/components/DF_csv_exporter/metadata.json @@ -61,6 +61,18 @@ "sourceCount": 0, "typeHintID": "bool" }, + { + "name": "i_export_distances", + "nickname": "i_export_distances", + "description": "Whether to export the calculated error distances for each point of the analysed point cloud.", + "optional": true, + "allowTreeAccess": true, + "showTypeHints": true, + "scriptParamAccess": "item", + "wireDisplay": "default", + "sourceCount": 0, + "typeHintID": "bool" + }, { "name": "i_result", "nickname": "i_result", From 6ae38e5285a0cdfc324b2339345269b603e7001c Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Mon, 11 Nov 2024 22:31:01 +0100 Subject: [PATCH 05/17] ADD: extra commodity for automatic added bool toggles --- src/gh/components/DF_csv_exporter/code.py | 51 +++++++++++++++++++++++ 1 file changed, 51 insertions(+) diff --git a/src/gh/components/DF_csv_exporter/code.py b/src/gh/components/DF_csv_exporter/code.py index 717cfb91..877944dd 100644 --- a/src/gh/components/DF_csv_exporter/code.py +++ b/src/gh/components/DF_csv_exporter/code.py @@ -1,20 +1,71 @@ #! python3 +import System import csv import os import typing from ghpythonlib.componentbase import executingcomponent as component +import Grasshopper as gh from diffCheck.df_error_estimation import DFInvalidData, DFVizResults +def add_bool_toggle(self, + nickname: str, + indx: int, + X_param_coord: float, + Y_param_coord: float, + X_offset: int=87 + ) -> None: + """ + Adds a boolean toggle to the component input + + :param nickname: the nickname of the value list + :param indx: the index of the input parameter + :param X_param_coord: the x coordinate of the input parameter + :param Y_param_coord: the y coordinate of the input parameter + :param X_offset: the offset of the value list from the input parameter + """ + param = ghenv.Component.Params.Input[indx] # noqa: F821 + if param.SourceCount == 0: + toggle = gh.Kernel.Special.GH_BooleanToggle() + toggle.NickName = nickname + toggle.Description = "Toggle the value to use with DFVizSettings" + toggle.CreateAttributes() + toggle.Attributes.Pivot = System.Drawing.PointF( + X_param_coord - (toggle.Attributes.Bounds.Width) - X_offset, + Y_param_coord - (toggle.Attributes.Bounds.Height / 2 + 0.1) + ) + toggle.Attributes.ExpireLayout() + gh.Instances.ActiveCanvas.Document.AddObject(toggle, False) + ghenv.Component.Params.Input[indx].AddSource(toggle) # noqa: F821 + + class DFCsvExporter(component): def __init__(self): super(DFCsvExporter, self).__init__() self.prefix = "" self.counter = 0 + ghenv.Component.ExpireSolution(True) # noqa: F821 + ghenv.Component.Attributes.PerformLayout() # noqa: F821 + params = getattr(ghenv.Component.Params, "Input") # noqa: F821 + for j in range(len(params)): + Y_cord = params[j].Attributes.InputGrip.Y + 1 + X_cord = params[j].Attributes.Pivot.X + 10 + input_indx = j + if "i_export_seperate_files" == params[j].NickName: + add_bool_toggle( + ghenv.Component, # noqa: F821 + "export_asfiles", + input_indx, X_cord, Y_cord) + if "i_export_distances" == params[j].NickName: + add_bool_toggle( + ghenv.Component, # noqa: F821 + "export_dist", + input_indx, X_cord, Y_cord) + def _get_id(self, idx: int, i_result: DFVizResults From fdd3b3fa255dd3c466d09ffaaf156a182f9d6e54 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 13 Nov 2024 20:26:42 +0100 Subject: [PATCH 06/17] MILESTONE-ADD: new category results with import/export/inspect results + load cloud fix --- assets/icon_pool/icon_export_ply.xcf | Bin 0 -> 10683 bytes .../icon_pool/icon_export_serialization.xcf | Bin 0 -> 10671 bytes .../icon_export_serialization_v2.xcf | Bin 0 -> 11852 bytes .../icon_import_serialization_v1.xcf | Bin 0 -> 13621 bytes assets/icon_pool/icon_inspect_results.xcf | Bin 0 -> 8822 bytes assets/icon_pool/icon_results.xcf | Bin 0 -> 11852 bytes assets/icon_pool/normal_v1.png | Bin 0 -> 8949 bytes deps/eigen | 2 +- deps/pybind11 | 2 +- doc/gh_DFExportCloudToFile.rst | 8 ++ doc/gh_DFExportResults.rst | 8 ++ doc/gh_DFImportResults.rst | 8 ++ doc/gh_DFInspectResults.rst | 8 ++ doc/gh_components.rst | 16 ++- pyproject.toml | 9 +- src/diffCheck/IOManager.cc | 9 ++ src/diffCheck/IOManager.hh | 7 ++ src/diffCheck/geometry/DFPointCloud.cc | 6 + src/diffCheck/geometry/DFPointCloud.hh | 7 ++ src/diffCheckBindings.cc | 2 + .../DF_export_cloud_to_file/code.py | 73 ++++++++++++ .../DF_export_cloud_to_file/icon.png | Bin 0 -> 10448 bytes .../DF_export_cloud_to_file/metadata.json | 55 +++++++++ src/gh/components/DF_export_results/code.py | 57 ++++++++++ src/gh/components/DF_export_results/icon.png | Bin 0 -> 11600 bytes .../DF_export_results/metadata.json | 55 +++++++++ src/gh/components/DF_import_results/code.py | 15 +++ src/gh/components/DF_import_results/icon.png | Bin 0 -> 11459 bytes .../DF_import_results/metadata.json | 40 +++++++ src/gh/components/DF_inspect_results/code.py | 19 ++++ src/gh/components/DF_inspect_results/icon.png | Bin 0 -> 11884 bytes .../DF_inspect_results/metadata.json | 104 ++++++++++++++++++ .../DF_load_cloud_from_file/code.py | 6 +- src/gh/diffCheck/diffCheck/df_cvt_bindings.py | 28 +++++ .../diffCheck/df_error_estimation.py | 68 +++++++++++- src/gh/diffCheck/diffCheck/df_geometries.py | 82 +++++++++----- .../pybinds_tests/test_pybind_units.py | 9 ++ tests/unit_tests/DFPointCloudTest.cc | 10 ++ unnamed.gh | Bin 27118 -> 0 bytes 39 files changed, 671 insertions(+), 42 deletions(-) create mode 100644 assets/icon_pool/icon_export_ply.xcf create mode 100644 assets/icon_pool/icon_export_serialization.xcf create mode 100644 assets/icon_pool/icon_export_serialization_v2.xcf create mode 100644 assets/icon_pool/icon_import_serialization_v1.xcf create mode 100644 assets/icon_pool/icon_inspect_results.xcf create mode 100644 assets/icon_pool/icon_results.xcf create mode 100644 assets/icon_pool/normal_v1.png create mode 100644 doc/gh_DFExportCloudToFile.rst create mode 100644 doc/gh_DFExportResults.rst create mode 100644 doc/gh_DFImportResults.rst create mode 100644 doc/gh_DFInspectResults.rst create mode 100644 src/gh/components/DF_export_cloud_to_file/code.py create mode 100644 src/gh/components/DF_export_cloud_to_file/icon.png create mode 100644 src/gh/components/DF_export_cloud_to_file/metadata.json create mode 100644 src/gh/components/DF_export_results/code.py create mode 100644 src/gh/components/DF_export_results/icon.png create mode 100644 src/gh/components/DF_export_results/metadata.json create mode 100644 src/gh/components/DF_import_results/code.py create mode 100644 src/gh/components/DF_import_results/icon.png create mode 100644 src/gh/components/DF_import_results/metadata.json create mode 100644 src/gh/components/DF_inspect_results/code.py create mode 100644 src/gh/components/DF_inspect_results/icon.png create mode 100644 src/gh/components/DF_inspect_results/metadata.json delete mode 100644 unnamed.gh diff --git a/assets/icon_pool/icon_export_ply.xcf b/assets/icon_pool/icon_export_ply.xcf new file mode 100644 index 0000000000000000000000000000000000000000..4b91e29b81217208031349d4cba4fa9769625198 GIT binary patch literal 10683 zcmeHNYj6|S6+V^)222c2LMH7n$;KqbkX~8uhhu~#%d-4L_<;>L*sIk_R*@xFl6fRd zNIUH`ZKh4qHcdO@X(k@hX_%yev}5cBWT^`qrl6VesqBZ zx>-L@{E>i{n$h`QE{?|526-kL4hFpQrWO1ATsRnxFvY2gMEo9>QK$Yi^HA-XK&@d? ze^k9D+QV{zke|`0@oMeot}+*-Hx!65fe_clM`@3+&llxmOv*m1oo;^KnEHHYRvg`Y zjP63VxGIuI;~9ZXr0C| zWii&zP~a96Rjvv6RMiwBl|2xPy7@>G+ual7i>zh_|H?|x^vYcvY>aOXbfdLat<{&R z4W$|jqp_4~Or>heRr=DIn^}L6Rbx?K#Wdw#9UtksEnjGQHHc1#f7PRd*Hprm!!znvEblRn_%wMyt}ORXXieI<4=Ts5H!myFy&Hs%XQx{Iu>fsi-6 zIyzB^m#pc6X^P=0!?{fwqef>@>(pkm*{CyqVZSBmHBQ~RB93$tFQ;;%Gc4Yq6!%Md zLjEfa91Hk-s;jR7I_w%O6%n3|g(J=3a4_qhUTJXJqdvn|%9L!DG|Mb`P^~RhUlHEa z5XfcU+AlvqeZ9&N=6btvomV@GtaLLe^@h2Cw=~t%@m{@0t!D|R*O`c3tG5ud#mo|~ zfirSEXEAxT>=#6cqq_o81ZC}V&BGmo!98Y7Uumvzcqt9&C`go3*yhfhr4Mq*|=s7Jhn2c(jPwP=@jMo}lG{b3|AMwOR zK%a7SK{CaewLk9~{a)S0Pog#ujU}@(G+(qP5cKK^!sWFVHES^Wh)%1+aE%@< zVGUjlF`Io}gHdnR=sC|9dxuo;2SRKxd%;jJy$Gh+<57DIW-Z}#W*psX;)q3OG7}@N z6xO2Eb2_8^yeKRA>~TY%R9VNAK>8y8V7i`>$_)T+ep$uGD~r?h?9J(#DM;53 z{2*O_?tCv^-HwGm-SgaaOPM)Fs;5Z^iX=%Fv8MjyWps4>2QqD};C|XhJL>D4taf%% zgo#kjM%1MfoEX0*MuO~GK7t||OU{pqyV=Of-X5l?EZwk{VI~q{eBn@RL3>esI25Lt z3Ey6HNfF`wk#KLwi|RS*)Nx4}4Lri5SfkeJ%qT>7%Sz~Q*2}BRTt%4T(3zOeCXz*j zj>TvV8H?0qI^XFDtl@(+IbuVx02>UjQD$u_SqkEI(2MB_Q^bczZTtj6Rj&T?(QrfKgydmJ5t}gkI7j9-H z8MvX6TfI)d5d2+Fu!Km zQ$$IhF5}m%6%**_4PPb8uQz^asbe=2zi2GC_;myG>+XJ;D_CE~ue-NRphMB!hh+Kn z#xD(Z>}KNEB#h@4ziwcD%~r@9g1cfW%>2PFD1U{qF&uhMBz57raDJuvuF8|Mt4}}k`i);!QZ|uZha+KF9;4H?o2%u@Hr@@vBadZmBN;r>VH#9A4 zvteXQSgW~q5{x}m>4X)~XrBa$=E*i{wZgMpQC;PPhCDcvGf&GxS&Q4HhqineSL9TK z(@{|fNygCvh^-y5Woql4_NoTN)>KzpX!}^J)&ekUtbEK*P9oXV>G6D=<6cvVK-D^bs9grS<3;XV5_Z0Z0&lh zllIalEDn1mVq4LGH`}fUo2w4&_2@vUvAnLKx}y9cLrU(ft*I-=S#9-I73Ef=UcUet zV=uRtTP&`cI;VZ1$zW7hHq=2%Uh6<#YzvJBQz=3k*Ekxg7HAM#^a((1L2Ri8V4<^q zfd;X))z+XGQ8SuK?O>~NXfU#hx{~=8#P;h3Bh*5<7O}PGYN=Iqy)(ybG(aiE_MZD| zf!M9aVzA}oFL^GQ!JyY6ws+}L*q%ddA4?=Ze(%F^#P+T6^CylR+C3`1`H6(sjwenZ zJM!n#KeB&oN`B_lC+ChF7}@?o{L^Fa9NxKO&szg1KlH)h_U-%hT>M|}9{!{F zrugpI7*P2;pC0=V;Df`XyWiL)qBpxwB&4?n5Zk|;!q;BI2N2uQ9pVVUhaZj~96)T} zI~PYWqBgo?$1of^{{8?)cH~U|uMZ%$n?(UWf_Gj=Z2x-CEBn#v)YvC8_m1v_6Nqj8 zqt7Rx|J}Fu`~oCgx6`NWgk9SO#I|c!3#^AvK$>(Hmd8*#3zCziLYOQ`1v4N|l4cgr z_N+T0DK*RjNm)#{5_xZ-dv8IA{yHMqu}VWXV5+@tQXJ|`=J>MTN3*j}9O`RN%L8I9 zqmbEszxMJ3I@(8+aH0@jYv;M$i*k2IE(HA5A2Zq02+28-{y61Um;=WvQ?75AiIQ$(^oB{>nbc|s=d8e){jEBT)EQGA|CP>PKc$6 z5R8XlJR}p3fbj?zkAU$A$)9gh2pEqL-!LKwKYc+VU_3(nn}fpe>w`)G;}N9aD}=M2 zVL=$&IyfM_zCkH`47)~0x9=Je1_y_Rw+{WZduU*tQjmU=E1Y^^wJ+s;# z*HQRe6#nXspZ{<;LNmkz4`e5fY;V!d`_i zKJ>)PIA4!Kz<7kjenHriD~xT}EC?gd2?E9=U_3%Po}{|`4v4#tO47;43m``=xhF}| zQ~8ioADt>m%v4CuJULC0I`iNn^ZfpN>Eh9m9t?{~{{7TU>7pBacS^}ug;{tyiYNE( z+okx?kxqDEQ=uf4E8$}K;}>s}r2SLiLeEJ_I+`oR_m4=@t23uVeCG2fPd-1By76Cf Cw(hV1 literal 0 HcmV?d00001 diff --git a/assets/icon_pool/icon_export_serialization.xcf b/assets/icon_pool/icon_export_serialization.xcf new file mode 100644 index 0000000000000000000000000000000000000000..8537fe7826893a3cca51e933d294d6b94f0fee6b GIT binary patch literal 10671 zcmd5?30PA{*Pbk(B5rMM?N_TQE+Cqagsdz90)!>(i)@NyCjtpVP*Cfxh~iGI)M~4> zR$E)!TJ7S(?%LL+R%_j@2yUQ=1OmzZ&x8c&_h9|n|9`&cADG-TXO?^BoilUizH>F& zoLpL=LQR{=WU&y05w?isjSz=HB$43fWr+R7YmD#V2=XfssSsa+_^M4N!*w`9117+A zm{y^n=jQ3v+H4hFC(BWR4pATu3=0gT*)kwGR0Af^wK+14imu7iDseGh!&y^{(It`7*gjCU= zQnm!WK&Lg(v^qtmDj(O-tJV1`1I=2#m)tG>xiGf*m0tbGQ5j@PnL&p2(3k$N`}h^+ zWYcD<^76HMov$m4!E~jmbPBx^O!9S2Opwq8u6`mXAA3cS6OHC$kZEWbIA53GLamw+ zh9P2zwTAo{RbIR-CpTN=A`;Nx&&LCbKEFzk%%Dop=0IsSlg;sB3cT1H8k_Cq$@XFi zUr-m{IYFjz5wV2K7ZkPH7opN=44H5z&VN!mNvr&i3P@vDSxL*Os3wT zX9Qx8j|a~MecI4dC?;EGQ0wz@TtrD)ol-w5zpqaAl*TR- zZva1od-K^Gt|yDjVG6k{4zEvedg@K?_Ht~_bCJY_l?sLgjFG_*S!cgTu1@njgA7`= zn(<;Uz|9sy49ru>4EnqTy*|6ws6MZ8TqDvpWAR++Jx>zs^JF5E?Ztd9yw)aQHmi&N zc>|G=j3B+DAO}1>EXYNKmlH3gUZGWbSw$g-&yuT@9J*YsWYal3nUXG(G1YXTn#E-c z_)4W*ruvH>LhGU0d;p~=jWyLH-w-_0;3ZRZ&!~LaOqKF))>UN6bQ+b?Mda}}D{6K5 z2ANKw!hOWBX`zEcrA)wNDrIzm+LKS`u#{@LT)|V&c?!0W!xVTblq}ibyiLAsRtIPR zPjCYKoWl-DbF=yWgumI~tV|UwK6nMCGkJ6tGlA{t<;i`{3Yy&Qh`m5(|1UuAsrz?9 z@2S`q=t`Md#$_^DbS6v1q;nKZCS53G%Rmw^*?f+QtK{_gWciD}{a=CJV|Q=R1#~vY zHXYf2H4y>yus(c@CEzjz3a*MS=knEb=pLUg_G{m{;ms3OR-nOZM=V1mAijlVzXk9MI}(UkkHY|n zcG;zuJhGRJ?{6m?8DB|G<$2lbMNfNbjzNC@?Vh}**LkF&{eL1VE@K!EF*Ub20o ziT94Zf>Uj;guU-J8=Y?Skq0WLcDsH)*&p?eptrYy@pINH^g0GSkZ5D9yJEbt#o%4GNZoM#NE3XDB~mnw*MAiAH%8 zLP0^Hk+EcC3gx5N3>DN!3{Hj1lhEMM$an-=l#nrvj5-s8VpA1RE4V8xE-smjc1~8L zA(R+|5~s*ek|HBHAwm)-Q=})wM+92+Y17hW@ex763G%ebaWNsm!O;PrkC_}79zJ!N zJT);kR1zAHtdJwCep(XPk`NOj2@Q`1YsATlsnG#s)Df2f?=t>UGI|RAiAE?sMIIGE zK_)N?)Kp{ybqtD6O%8ybO_qrSQU}!T9V|iVC{FBvx)K}%aH({88aXUPf};ANR?-Bv z4EZF+gmO^wK-57dg&|2$;4oyN1tlWDRt(tEq>&PFNEBepkB|lj_;R@%uh3|~RuUB+ z6yVL{2>>a+R~X#Q7%KJRaCibyAXvbkAeKe~N@8QA7eXA4z|S9g!=C`QMnerTHv}$E zcpQPqAAuGHNW%bIF-Ii9wK!eEAaO8Y8yF=)NX$V2p%F+N2?lua{3D{m0{y+YR=q?T z9^nsn4Tua0^cV3s9AB6@Vt=u}P#78>ArbrWxjbfYR0Oi>r9ogzfFF;`_X0>wte~h6 zUlw2sHX+0m0=75@AwNl^FAJ~@kcNXAP~-8v#3&#nhy^_hjPP(50=AR5JS0W_Y`|7b zVdGL^krI-C$3R z2860Bs}5g)-qh_tzdj+LMt$Y&PQdnbRZT?$0xha%7}a;dK7}Q+;jbVI5j7kUR5!eo;57(GysnMT)@$_BaRF ziEoYZkb=OT$oKY(9fY2+CwYtfV^MLM%dqf8jy>sdFH57Rtb3NG4l7x>^j$|(Z7rWR zTQs<=qy#u2gLqQfG{Hn~kza_^%k7;t>)t~NvHWqbz5XwEACX9sCM)>x-A!8(Lne%J z^I)=tWKrj|l9CnM!13dJ8GIiHk;ylyq;&0PWMoMcJBrBuol{nqzq5smPWg#KBje(u zL!`NL7N&#*`RS&_#SIR~o42%B>m9vhWpTW(NEGMqt#XPjUb*grbrYi&mn=^ti<(Eh zIwoawd~wNg<(T0q%S%^gkVQ>?BHyIRGuN%u&nTF={JrhTTz{(QeiB;0FnEYFkK|mi#NWzX)8!sisUp!b`gN;_QsGw zuebn~E^oX+b7h0@=2*VBuLwYWbG)}m-u$%pS9JR1O=?Bgv8 zo{jdsTc}^U7XY=T7ibojlpT7O&YO1VheOql=x1yG+@*z6Ybz?M5vp94TDC_o^cDrA ztEU&#RoB#@oh$UxiA)CFN93p3_~Dnw$#qXQE)v@T^bmZFO4)$>0(Qc+clHor47P8u00T?LN1a_PrMDyr+Cdt25nEZ(r`L%?;-_5)S5 zbzo@6Hy^KiZ}%}-+1FyyllS)5mVXt z=`->#o<5NM!Z!h2=D+qPV0&x&r;i>7Z0xfzV$?Ia2NT<)X9R59dV(D

hJPYe|Sg zdOD=&?c4-!POL&Npu*_^L84GevyAzgNTG0YW?li6Y9=GB%Q9w84f6|}s+%>tN0;23 z6d4kml2!O+eZ{BW)SmAy8Q&Zm5-rO#%sX~!@AhwgzGJr5k8h5V#Hz9i7JR+u+p2SS zS}lk~re1c<*CmF=sG@mM?y2>;f%&$^4nh2!X&)oTQn)qV~ppqXo2n3+L)nLZcFsQxz*KK1rtVs1OSdd75Zrf$x%b?Ij= z-f4Sy{`Yp1g}DF0g2Mb6d4&sCtdG2Ov+2RfnyWA)AKcxrdilcni~3wZ)BFD}N6VC%nzR%JMc1W(2P>J|D)930 z#Uq@YGDSnxJ&Y8KyoBDq{^CG9z$t06={eBh@j(H;K7L|JSR@|dm(;3k&=MnTBRqW5 z`>S$d!lut#8QL?#WyUp&RFM%mi&n4i8O>$J#j~cxPBtvxu(3xsqgk&=m1iwlzrSut zg0^IbZL&9KPL<`)Ub$)4<{8OzcAmIr9pS8I%@oC~d8;-Tsuq=faq=o?$<*IH*R9Bz zsw|whdWSA{&*|T9HQYs{n2Pf%Sd5JDHU9HWUIcLuL6Mr;1+-=^m zbyJB!H*@aWa~CWt-gK(|9{E0rx&VDfURzqSc;Sk*@2pw0@!Lb+9zOBorOP$Dc9Lc4 zoCQ0ojvn3f_TDSEe%`t1-90->OWtqdN2^vJt#7zpHS34^d*|L?`1br6`o&w0uoXqy ze!bgp>FeUU`o`1mFPt+&owst^KHieDZ!Xtgs5yAx5>(l^c;4JOOWxV>Rq&3lj$c2w zci*)e4UJcKZ(LKdyky;$UHiPgt~me8M;i|`G~T^?`HRnYzF)p|=NI1`#N)eW!?qtA zDR-M%PaXQ=vwer_PMyUATvGPc73$rGNf%Fkf1v90mBuzazHijj-n&P>Yq{sspVSXo zpcs`P4Ms-NKsPTRANFwSAY>$uTl_;+)pp6CLFh4s{YA5}{nx3ly+#{5dI+T-dPMQu z*JdHEWcU=k_iBV72Tb>yO{T~7yCv{?KG=I%?Qd7_!w!@n$d=aM zHtHirJ0M4oRaZNJ9KFiF4Y)(6*_fsoSo1baffO zj|3K!?C9)$)nYL}@aX??=%%`#PE{=B^rxVQzC-6=qD|COX zfWJkUUXTxO4n;HtoJ^^3QMta5o}*W)Xlfuk@V5?FF$=rJ}^3)TW_Z8a6+*DJjBv{%CJR<>=O3;xW*9_)FLb^$)HJIp6dMm-TN zLG2XX={AD6H?}{rQ1?*@3zj-FiSJnboDl)96PAv2Cq&%DLYfmY|3-uiMyAcg)xaU7 zfynaKJ!_Q#sQt~2m)mhWLVO=Pw~W1gfSrTK882dbaGC$wb{pRe!awzSJ5$u%3L3M@ zCg6)50Nc2X+1*DTsK!*;^*lrx=m6yV5M*>lJ@k7^n4D*)-#N}sz*=?_@a~v^?+lGd z%y0rGubYAA{_ADn`+$L;Oz(q%??0{&27bao=W%JUZ!-Y{@9*VAc}Br+c}BtW`=;Q% z*w3Nhg;7=tK6v~f(uBAk3Vx`wb2z5pgMlA&7|s;;Q1FAgDfp4Rd ziSM;cN&qw5)=khKYVCvsX6RSm?}MQy?)AaYe@zhg4ZzTwfT6Fx4Apxm`Yq2W`YS}A z6#a#p&!On|ePpHRxg-0dQT{y?Jv;%|V2Yjx-snIY=GjBh69lH{EdySHyT5Gq@5Rs$ z0Jz+3o0pH23US^Du9qX~5Jw38r4jw9h!_M&2YCnhaL1CKAuZ(n8EH5G z`FE0jwVk9d?jh-mY$W~FXC(dV0JmcG61H*A(y_W}NLI>0J;yiAnk&;C0)9Hf8U>ll1<|5-?^(+_^uK^y`X? z=OETH8%f`M7?bphl7;hkWObAD#x_jl*FU~mQ(lyKtN}dxPRALdt22D}-gk<(V3z*& znHv|5ZW!_m?@MR@j5iNiW`75+JqBF66p;l5U*0Ejol(ockfTT18}`g#x3nKzyA@pf zwb;@hEmzK`j{(0nCrf3TVeR} ze#@bXOZRVH7>KZ*)3)rL{73aa0E&RiFOaupf@E zUN@fHT0}t)4+ClLbrez2L(M~1tn~*vo;2msCoAp|MGmNG=FPF7 zWS&Ou+E4y4{c=e<#1TE-aLYpREo^IP`ld)kJ(4j1wUiU4+q+jZ`NO{FgXW>IzQoeV h$jGX`S=GGwgVRHYB8!td(5N5|$G`pH{3LhC{{U-L*#Q6m literal 0 HcmV?d00001 diff --git a/assets/icon_pool/icon_export_serialization_v2.xcf b/assets/icon_pool/icon_export_serialization_v2.xcf new file mode 100644 index 0000000000000000000000000000000000000000..a9482bd349e8336b6cf314abb614884bb659b9b8 GIT binary patch literal 11852 zcmd5?2V7HE+dmmN5UU;9_N}j`xX_xAgiJ<&0AX*Cp&%gxB9I_N5Vh`wdr&KFwbeRX zS6v-0hFj~Z#iC*rMV1Pp5(tp{JtvE_Kdf)x@B7~0d*SAuXPk4M^FQOBd;d30m6c7K zCR5V#m@F28<300<)9c}U6HXEde%^+&k9d{tGkik&9XP3Q;tYe$X);^~A=GyaT;Ej5 zWc2JDjZ&4VpsS@>3eX`6oc#iQd}w9^hy&9g1iC6qnx>$q<*4M?4cE8ZDOX#Nsi5U* zGF9?1_D;$)nI=<{Lvu1-=s9VrQX13v#~K6X)E>+%n(+^tr{!i#Wh!+Vjl~41;17~n zpifn+v^14kmafRfIW$UTu0l&Q`rD*U$v-;dnBTE!N0ve>l}oi!tcSMrdEec0T2>}4 zPmzSbY zBR(2NE(F(Ov*WX}88~W&cSIn7&gd})t5Za#RIAkFWI2lBRBE{4CnEBD|cq$~7{T+|`&Aa`>!Ng`7iARm$0P4o@nlOQlRDU8rPn*#f>? zo+?%RMGK+y097u4QZRv)TK}kUNT;|7J#&I#(-I z%M`ec7&a9&P$-uQm`u5pE>ODg=^U0^Nl%sWWOSa4E#xo-E;2bw`Zue|HP34AG{6%E z0lv@S0ZDT*kNq)!v%vgx1uQ;z1*J22bQUv)?c(afeZ>kIZyJa;ptJuMpj-3)UC^x= zdjef9RZ6)`CX3EwDVTJQjLD=6g={IL1WY!cqu|OpJ>FUVqHX_Ipj+d%1zkXAbIj9` z{Z|taKo9I;jIjhZ^Y4&zzCRC0wfj*BH`cjxZAJl-JK9DUE3gaN*$ z>!69I>jyhb*AZ@}>u9{e`txDgx#7)|gG#1RGhjib4L9!UdVvma)(AL1#A(kt@C!Q= zII$k*>1$5I1v%QJhuEa;ZPGNGbU&N4gH5`>O?m*Naeer}_4S4m*Nw{`X->lhjlgLF z4!91tNn19YxGgq^{Usa0f&nfU4*NRO)%a_%fq=s`9U?@;y@}e#N@a<$6XXu)MPO=5 zLQJ?s;u}0s(HrR|$S1|cgi8E_D5x_aBss+n>EflqzJ8K`kSHqZ2;j#|N~I!FtS&VS zAz$Bs&`2`U2k=p3iUM-P`X$2Ud4OL)Xfy&XibLPd=B&^a~3?Mt!g^#NzGAMqX^d zR!m`IufR|VNxkuF=#|5w*>|(^W6|kMvX?SwKt{t$w z-ma^?TXFW>sh^(`fNgu{^M`kDoIPIwNS(gc(hk@@)?Y0tKUZ?%XNchR*2?BqDth_o zZd)xvWhJG@E1)%}x1wL46Of~((bHyWr&f2Qx0U3XV0HG1<{gw9B9RY0bx9UL+sGTb>KaMJDs*ga+?!MTv^D1Eb-Ki4v7~MGv*xnkt=L&eW zv^^bo>D*~l3)uFX@nt94a_{DaVno2Wb?9>%ohdB=Y}3!gqS@#vBJ2jkISZ_Vkf9gx zChA2HZwx@a31Z+II6decWFW!@A%g0J7ZS_bg4Z>wbZQ#bk?{{4|7~k8j>)q2G9hhT zdttc+kb7KvvEH)w;^%jpV_<-dV8Ot=_70TyU<1{_nHIeRVUPYl&*%4V-@JC|Ov%wB z-+jC7D|=)sZ#T+!D!^WP4BNM0JIEKY|Nd`xnBZ+SoJI-(Pw<*6G=QqlGcAD(q4>Hbg>)&0T)!!H|l=lm+AL22|ruwbzf%^YoH`aHy z?3lGY@V{iLf5+Dl-~KJ@7UriXhIlxC_!gyG4)$=Sy+t+23-VNnM!AnsE?SUh@*mvW z?4PGf2=-u)7}PB%hIp|@nC(Ri^U@Q-K{nfq7UpNd%?|9w@;0wqI6X5N%NF~R=|=l- zle}$x;q;7d`@wDNEp}u12e*A%I3pto$~XBR0@=1aurHYoc1!t(wy$3@1DEe&st^1@ zP7e2SF~w{2$MKkD>~D&v+utl(>Nnag?LD|1>NA!<+-SFn$3`~Q-w)#l?Fak;Uo-xj zF<#Ig44SDwjCQ~m>=wKLPuw5I^7dK!&m8am&A5LOF#gv5$Ortr*~6`P=b74Xm2te# zev|*^B8cCJx3T>F7=K&5wqtya{>JwrZLpQ#D;7 zpOl)Pr_v}gwg08tbj$6_a;x~e+jP9$w>bvq+6WjD%Pj?xgID!n!}=W-{XY@$&Op@p z2H(wf0DAGZo5&rZj>ZQKP0!(GZW8tPfBW_RORH$O(cadkGmGNw^_SXoI&6K{P2`!e zv$UqItrc6xx{LgFHa6+>ZFq;%GStbL$rg%4LC18uwhk)lqVwJDMEdaay4DvjDTtuk ziF97xzA@!3&2{Bu)co0usZ(c6LPS5WmOBSYP@Z4dX7MNd6N9;m*#we{t*_6~h}MS_^E`7k0U2tNYcRI9%}(NJGshhl;Squ+b~0|3uw&DERLji8M7A8P^6e;2uq zXn_4fzyo!)HIJatv0@W`;d>uGxO0V!DpqA@skM_MR13EKbnZ}Upr;}+D(c4r zmoHyClehnPbzSW-Kr2M#o^Y&;QrCR;Ou1S0&v!@0ojgshYb*I|=ha8`m0y|w9Dlj8 zwx;UV{hHeP1})!PKV|HC~*w8nDa?V~-QhgG8Kw@8+EkppF-~iNyJ6-UKF1 zG7CU7%giCckrP*S%kRFoWd5S{y-=Cao}DLruV~q_PY}AeB>sy78ZLku;>&klzk2Nk z^vxaZfa)opAj{kI>4wiY%oCYFC5woO z6IK;}@+}#CFA)WVMor3&4bW2%~JIgZT{j7o2Eqg0;4nQyeTu&NG&j^gAkcp~pc>_;DqOa<7@^Bwt)8`T-DleX%rMo$Pu715fwv#s zwfeI?$1ee_;nSuSj!4GKZ*160e1E=ZvCnrDVab}vNyN+G)Tp;E9m z0jB2(1GXN+mrk%=1MBrAk0^u=_Ncwzd!M&dMUe?1&U;DV@(gxF%Z<-h zq_dA2AS3=K6P*UaPz2!3)b}TdO%VGcqid%r0~lA45wQr$H@xiXO?2#Md`QO9(}G96 ziQ1Z*Cx;mQYm1wWt7?II(r%h07K1$z1b@5Gcq5hEx8PoRH zoc!j{sT(HG=%z^jaA~@B*4c~uwj8?rsLPl?x+y{usmPc*=fLjoORqnAVL&7@_4epo zb!1VLAd;wfwI*hIMrf2WW5%Z4Tkh&9#1q6QE?TVe503MXP)?q{ zaqmxcouFken4KpN5ePiRacPs6p1RklGl14}?o3TWKv-;iqC7og{q1%bf)rv7`ey0; zSve^a<*Lb()!ONss^BiCYo$`jD+(9Qo-udHqL~G2_a802c=gJ)i#r!BB(E#_bko7J z7f)|rQ}XEPy@N%|ik4(&&OBcH<&LAjzi4f~y7Q*qP`@jGa(ZH%YW8QJe{<;KQ$ttN zl^?1*JMV4Qs*+=pbLOv&J$CB1=bg{0Z{2#{)p};-l*y`e^^8SplCR!;)cWMctv0=Z zX#8@{wA?8<)8;N+8(Mk)>EjFKRWKtT*RNZ-WbW*FOIE;INTO0tmR)LuRy-~Hx_IUC zHN{_ky%RvCoH%{+C6#!R^6i#Si@w;t@5geO5G3bEkGjB>@aY5H2^~yfy8ypBbo4mq zcdQ-E*0JcLXv3V~ZMU^E89Msdk&eU1IPEu3WBXPrx#4)LglrS$h4}mkoB{(o7e7sbpN=pn+ z&d5>(ahw@roah`;P-M)+w5+VOiLtV*EUCnW@sZP5CeLj|Tw;nUGhLn{Rb{DS+*xGC zVxBzX;5JMuPfweWAfu=|W$vy5GWUhR)!hU4aD2kV zG^+YZs95AGbo1~M```{vm>`{;1q~kM>+Rw0DV79=;vRlWsmKH^@t(Pd2W|LbMOH-M z|{yJX#Zt8Pk@MwXbGF>meR(+gr$g!|Vx2kLF5h>#2;pLgdi{%PX?^-H@%?r8y334y_ap%G$X?9ZTw3+i)E-pM@L#cn_ zwRO|FS*byRQPJrIGnajL`tsdcN_|uK=HfziVzN?|kvC(;+Vc()^!l8m@ma_v6`9H1ju}V9N?N|5{&Ld0_GB znz}1r%$+esnX_#3LEeI*L$_-x%8wqYge>dl&zd=7!6#e4^V|B}x!PFHmt0V^wNeNquwOcCkIEs64FtJ$r72-q2MN*`I>Wk$d-jE3~A|Ks?^_Q$wer zt27Eo3sN7)s5I@CYS<6x8=Lg{XEnPd@DBD3w?(IZt7>e=H+{0<#c%61A;auYFXt6i z?Z8;zmAI=s=6we$3E2l6?=WvRC`4yhiGN=T>gpE;8=fvhN0%M(wCl`-q4w~M)i3NE zx5;^aCeJ_*Pmom8oKJre(x|)iCtuC9(Q{o!3@HSJ{LvY`x`KpE^FJEIK(ZA}s-ZT`Kzvs3qDC{Q!xUJhp0~ zrleI&)6z4g1&SQpR%kX!;FKlJ$(Wi=b96T)MDD2~cle}8P0NMHe2qYL);Nficc7#ujlp3{`<`}9`Yw)K?3X6)43!t&NW)Gui`tHd15&?gtBvorw z(oB^!msVi>Xekp&`Kj=k5Y17crcceqC8bJp6?C~OM`0xUX_?v_Q2zN-D$|!#_(Q45 zQ*+^CivpSqXmbU2P1Q`JXKCaLniAez;198|A|HRaLu2t7d>kFtq$^Zu=~@~~zyR{o zqBMR{Weql61{Om3dn?YHtrVP>nic(a$E0N7fT9Ky4KDl~#gi z7|{nAs0XQp0jE0Bi62o>yx4W$2^sPY*=>W2&;HW;(? zMQ#6Ff4dErBg8dXUU1{l-q%8~V#Dj+@ME9<*mfIN2FJfU<}I&%Or;>FvE~H6SO75h zixUuQ*27{0g;TOc%R{7ocEGR>KspCxp%yGAk4G+!OJeYK}<2cdWB~;;92{dc-A4xqD=@*`bX3sdDi7C zi@rkRe9S!SBrnXf<}F=bw9>`Iv!-A(*cN`sT?+&IkN^iW2U~$T zSUul$Q7{4YU#p3QJ@%pl1Wdy&YwUrBB^r95VGj^QqZVjbJl! zt6T7Bo zCU(R8S1_@gFBqBF@~M2gDc7t_tRq4fFcbUJP(YV9ao?YrSTA`Y1hX{i`X8CtHH#O| zK&(Y(CbsD~W@2T9b7ybOFfp;ZR?OGdJgX`%E{Ht~FB_jfYQIW!b_DI(_sQaon2LRP z^jxOx!(nJIM`Xd&{f$Jn18V8#f96D6?d~b;mbRm-H^I<; zH*)zU!<`$+!(nK*#I>d@eg}rOl(@P)dQEfn>VYt{TZV{Uehb(uiNmn${bSw3Y?x7c z&>nc^0W7%k>x*9i3qEv1joKcy&?}dpZH0lQR~Enb-~zG1gb#>pJ~i>r(Ch z#+G9zD;w`u^g~$BXPuH-XF!PdJ4(E{n}O0A+6$=YN!pXqSnCCZIcZ|$j-?GmfgO69cYg#Z znOD$Q)s6@HUn+wK^g_?pRU0TC(^^}e9x4z~Po(rkEyaZX;jX1myf}8FfK&5dQ5ABzg9L{{faI8FT;u literal 0 HcmV?d00001 diff --git a/assets/icon_pool/icon_import_serialization_v1.xcf b/assets/icon_pool/icon_import_serialization_v1.xcf new file mode 100644 index 0000000000000000000000000000000000000000..486ce23fcb67ac557a21027ec030790bbeaa78f8 GIT binary patch literal 13621 zcmdUV2|!av_wQr@72LY0)modP7F+^J$U*`H2oRRA6BgM+5+Je)xKLa7ecx)ei>;Pg zY2E79)`dmHT|ui@1gWUV;sPQP2$1_fbCV$bo~{3W@BQEV-qp*U`OP_J&iu~Yx%W;^ zvL-!?F-Muin8jkV5ghLrPh8##=NoWRDDdYkI0s7BYd^;)l;4Jv4(Av+M;gmixQ;+* z&?LCNp;0QCS=pIMnlv>tLy@iq4AJ1U^l^7*7#pBEJQ-YIYSI@v`GABKaF-x7Dqsh#0wr1P1tQqPIWu^*Ta<&eWOPLPVE@BHOlcLyy!Enk|Br`B^ z&Q_jtG)cBTm?B$=CO0QYogJ!3&q`BUi5(d5&&du%|60XEk*k(#(m|TT;&4SQ2N8$M z;BZ9t91&ai8eQD8T#;-gW(!%b5heZeQ)eXSra({J|BiHoM)ltk4$Ri5GjbKVKpuGV z8p|PSm@+f5Y#0R8N^Jic`OwUy+}Vn3pvTL{KZwDxWwUJUIj>QQeAx?l#AOTYc(3DU z+CNbVO3BR4v~|ZbJ``pyIQPn7N2X`lVy|u8f_#8<+gJL~Clr*X$W6-3PPY>N1Vv(<{+%xrmPW?H|f{*`g8;cvWS@x9XjK9QU5lPN5Y zi1nBBk|yA8PRjfD4fy-pdSohRro&A4@vsu(R0bj*bv)MvH zB5+{OP5S#O0qak)CPR_d|1QNdSOqg!rQir*+On7&6}E0K5HKAQ)f^_wX9rdiPpIVD zn|yY%d-;^dF9`jPK^2C|FmJwZU+mGQn`QebaFL(_hmY9Da!!tWjoW z*uuif7*D?4nFEGj+6Xv5z-5;O@E6`t;KVrA8DuQO1zGhgkL_2s=vQX+D_iy}5AIhU z(yu%W%D6v#;Qj`{iTlR(CmPFeL3oUG0uH#2?^iaxc;d12J1lPWtC%>zcHyvSHC)NR zrZ%Wpn*2ZlL_~~0U8?A?D5YZZFx0M&k$Fg^f%0hyi9QynCn3(yn})Q$UQ&N~M7%26 z40R{Q%LU$aqz&=&mU?=~6p=KfQzrx?fj1Ss2=@2(@IWXaF)WOVp2sK15#T7)-`f+L zQAc@(Ar!3)ry^ZsNQjT8CmsE$j0*Mu)ZH&MB2K9Yk^0Fa6O<815fg?m?iT3j=@k?b z9-S!n^zaK+#KlJ&ag?Zxbn}*a2Zu!^#>e{lhJ*)^^0CTD2^BpI^!1i{1%U$r5%Cxg zNSqdmP#_G2in?U32&of7s7UJ;85N3x0Hq@xpx`nMbxJ}|9FlrE!f<5{VnsL%Hvmb! ze5lchadgxpb2FC@LhX@=>m3y4gcO`fl;Nn$-9w6eDAc!+-h&Z{nUw&u0bUZRzl;IQ z26~IQJf5?gr_4_P%*uR30-(f!&v$h5@C}ecSN<}|Bms2gE_UE^xgr@*rV9k0CJBI9 zR~H8^7a@_q1P1rqN9KkAN3LQAE+5PUdhsL(Ndw%0SxML^tW;w1%hWNax zFkIneJ3n_At_bn?4iu@s4=^j_&?LaD8?xbxB}^onFb*?o&*dQp3I&+8A4xLX0nBza z);-bp%mZeLr&rFLKUZ1XpzXR2%yzY1D+5X@FPytk``~#`7j)IpT9sc0U0o?GK3`f~ zp?eI>63=g<{4!v+@>EIjX@nX&Yaar$ogMWEaMVy#T2c;Xx*rq+@Vv7Qn0;`o@?6PT zU{?R=ULl|-%WLb~30>{E>$MFXJzc2taTCJ$vFjI0%c^P~wCe7c6jjuAJZ)+!a)^)UAy;^<0l9VTU8qNW;XU<+YcfRUALX8hvYrxL6uEs`$iq4dt2WBfy zA*64+3Cte5S6_)vm6o0dW&zc8)B&?6YS3d;eC8(@ZpEHm?X@u622^(b^6;mfZNO~# zzHzsKSpsdpck3}e=!%)i7<=7%i)H?AuD7^9(|QZ@)3Dyc z603*utJYhLzYQl|NAb6NzhgKoZ+(Yp>{t$t;R)o$@W<4K@i`{k91SP_XU~@W9}XNn zUVP^AwOiG74UeC9>CI8gw?7;_a=fVQ;nj0rX2^)qol7?b@^d$S*~u7b?JK6E^I}ox?KIV8|#jlBJzq*XD{8n^I*{xqul5zA}qJa zpxaFLF?uTQH)kQp6<(=sCUr;K7~~9Clfj-fV5*!&8?Y}mO`W)p(SSi83)f?;y15U- zePFrE)y-Oi93Sg0+^~bhu$;wc8@?CFEnL3?`)9B>#>OBA*h_mhd=G=%UW}RSd0>0% zckC;?Z1Tk*w+Jw>XYd8=d4!UE>^aCaG)0hLW*__>!FV#h2u7Da5x3VovgG zkjpX1Rrg_-D=dd&ZitZ~=1U-!5OWf<7(GQua*E>%<2A(BFozbBeN>aN1n$ZCLSmPz zn+$T+B(`XSLD$F&Isg8Q8FklVITQERd_0GMgO_m|1DGl1{rJQ456=TrjPN|b@x}ZV zU8ym~!+>G_Ud{t+z9*ii7<(BvLwqs!MqjW!PuQEna|6d5kAv(3&jTEDqc4E*JVOfq7ig?+7H>L{4%6DCbT)g)}R zZ0y(I#w&$)hUgD_P09|9+h9qs(CVE-XJ1XF9lzC%ABFEaMK^E(he zcD$(c9O(uK?}KV#>AA}lFod1ENnKnm2VN~lS}`5m1ESPfALH66sCnSpTo9!V9r*z? z22O)UvO4;MsfJc#b)p@#VpT)y1eT)|SFtX2=xAIGjy0JYW2h$Q^yxZELt;{L<{5-1 zlENuD^Iw_@iAm1Jtu!!YhfNuTp=uCLCUyI&eXSGhL|(y0%f{A_Sc9;c$tz>^jj`A( zlN)AljJ4)KN1%({FvnFfR1Lz0s*l|0hS~73*7nXm^7vHJ4YC!g3DajT1YOb;**bHf ziB|(vFF6NV4NQ?CFcAkHW6}eRt+b(ICKyCoFsAj- zTtL-Ct3lU9+!#!&i3@N8NXI-Hg~v>^6G^dUV@Uor2GDBi=wDeLPO^-7#I%ycz4QuK zNtO+kF^~3QVA&vSK76bVhorTSWqW7uu=vzjm}Qf2{PbB1VP(P}3HZdT^80C-$(iw4 znmOt;%|~igeB$g`noMdpPPDDsU9R2mM=)Vkd;UAKhnKODOX{AI`p(V{+&bAw?78Pri&od!(Md&Z<816$9HCh3ds3_I?53k$rohQe ztP8xL?Pz~NLj==ItaWwske9Z#HkMLR>*sT4&YT;MVz(T;R9&9o>q0}V56Ww6{y2|{ ztDb4Kl`dj24Yf4h>C|>~{Qjh_O{={L&>$+(H`GzJoi|QhY1MW<*iRKdbrCzGrq+&* z7tgx7bzR-TNJtk`5T(7V`c7M?wo^w#-7Eo*2YW(YHTPb0YP)oUQP0EH7ai2DLGV4T z^B37LnBGH>&T;Da2`oP-u%-wcU4n<8=d7uYV%H#azoNM4;vMt8dd0Dmr!G8rS-<>4 zV?$$uIVvROleQOs*WB3HfRM)BHaJ>11$fhJ__naQsi_gkWe(QwjD8o$bKh8T>)s;( zL%k-O$nz?oHWJNL)E(q(pwH(}V?#Y`p6J6Q2L1x~Ke%60PDPdLv(htirw3`4e0Ti( zkwhOCbyP^muZON)y>@oi!Bh7d8%_dSeqyI-Cr{HFThE;>HA3%=nix@3Ms4gY{(Mix z!=|dQ4FrZ?t!k*hbGxp-p{Y4n;7S)i3P<%1PZ!>9Y;0;qvd{nzH;Kdzb{AVtpQ#}+ zlo}fmB9DlQqoSTmx9&Zpg4C8w;>;~X6J%BS+vIq(h4gyEF*+6Qz zgQHk78!d`vF{JZ=L}Q&bRu&wy{$+jCJ1Z71+iH$ZlkHivgzs!wz4}vxF0F|C@=zuZ zNcHm&*lpdgX&d@seWtgK?PMU;MG~!?wd1pGUu;_>Hjqjc6EW1)#8*J-$_N9gPGPIp zZulNZ{m7prRpK&j{q|3Pq@tgtVsHPD_^dFW%-NsF-K8!iKYf=!PLexs$=c6-0+y~> z5elTPpEq~!yTL2gZ2W4Cz5kNcE9HP$zivu!p28|#N0IR2oUMQfH`e*t_ z9CJk6q!GObPzkiQ0H+rSJ#IaTFYu{BT!Yr@D<0AaEo{gPcxN-@qQxUNY?CW3j z4j{S@+I~RAwWoOx2M`VQw~EG+@(tTtNqb-u`Z)~}-Fn>NK=5GN`QL7X9YX)}!o7`V z#3MbTTRL@vTyFxR%c~6Cfd_mom1x&1U;t5fbgeD7764Ume$~_4Q-e36%}2fW?zyS7C&uT<_~KWz0W|)16HY-i z%8OxnpJd4$xxvaz2Rh{N5EL4nGFzLI>@O6Cr)1Bh(|f51W2xGdSRWVn*o@g9^KGNy|by@gv<}~ksu*fJ?O6u0? zE|`KeVgdSL)#7>C2{9_o^ywM7AMLmUPdRM|olaf5a@qX33s)@rIB(Oz6D5}_%CBA8 zvur7K^Onzc96oocZ1=|EhfnVw-m-ejimbGcPi_DD`xAe(ceGaQxuw%L70jNV5*4AD z|M?d`9J%yV-`i6D%e|hSyE}6=aq_tA#hb!Tp85TG&$D~CZ$IztIJ<7fbWKXe++`c% zDsDaOcyi-*r%q2i`g*~foEh137OvXlUsdclyDz{TEt~lv<9!?WS+_5kwp!-oiB{t$+i~psut_a8A5O5IWXqAM zr@=2r@rD3fw|qF^!zs3G?zEWDfUsCq8W~`WS~Kl9ywH%a$T+nooec00ww*PG?HvRC z;*zJQr2{;|Nn~eZZ~Gy@JofX~INnn@Lk`?Idxj85y+n1!zfzkk4aJnas4cvt@C3 z()j7A(={3hvDnE`$afHlcsv*1z|hEP5fO3^0iP;`AE^Sv!sSwlJW-tx;Ogk?U}tMD z^YIG|S71toDo$VwWCRgkmERRV}Pfv~sQ>LdYr1rK`Y$mh#juRrH5;SQk zssx25T_bm5Q*9r!xB^F;xCB*da$I66j9BH)<51b{_IwA&_Z6y?-o+}#(N$q1*mB*!Rc&s+P&9QC3t`!C)BluEyC zzj0N1tZL4@b@>^=d&_U%YiL50prWH|(zY*GsR1rnrG%FkYSR zFJ8BN<%N1$(-YVH9h>JR`uc=~rsRFR`lqt1wGFhUmcX6cS7t=TC23M;&7HgH!u>|G zrk4C2+g9dg%=-9~j~6UkzU@+dGxZULz5xA5-LPim;)Sa=e7b(o)}K%QeCopGs_N1` zyQzw#^ac4PXV32ahnAPsHsPK=x$&z#hed~qZv6J`)?*EgO-~GO_-i#eJiZS8+VYC6Lm1cjq zLr>HsIL-Y0yDihk(#!$k9mP;$a&c2@<8FxsKy*Ha{>WNbsnhos2M?j4^V9)@-t;f- z)Dw^Q9dGW@_m+gfukw_ERw2o`yY9jJfbLO?PWP<7Kx&C7Lmii$`TfqLF8t7^>f3+c zn(6nx88Ww9d#4M2lE*7?Z>fCrU^)d^c%SMvzHHElp59`wK{V8B82~Rlz54E6GvaCQ z+30Z=@Qq~|a2_;UD;s-YS<~0<%H$8Bkf6S|@$?_vdOGo2N8^366Heieq>F(bdzV z{na0G52)sY9q;J%y^rk%zU95G?8>F0rQCru^n^NYW!c#?d*7#0h6^L&VuS79pweLj z`a^dQcLxg!q7EE7Y}nudRCw#6QO)&c6rAdSaGnKDfW_}5wDP0y_dn{@!}QbKzx(Qe zUn@qy=;UxUsFlXjqONojcHB+U@R+Cw6jI`Wr0RJ^- z*pM=eGlHkj%z>=JJcbhT!_-(bF>?+xJyWG-B*D%F&N#-vY@DIWU<+&o*gK4*s5Qwc zxeT_0EoAwaKr(f>&)F0Wcndi}eg|`Izlv#E8DHy|pS_|DAm#xRKA#ef`cAY2 zb<#4*I|!nA!a$^_AEpy}TdlPZHy=X+bLJFy)h?#Z+zjc5BHQw9-kc-@{nmid3RC;v~kZA{xf*k?HG@a=6n zOavI?VrOS+fUBtuigsQmoR27$W{^TO3~2|W$qHpuShQ*|YV%3tPm>2qr5>^v?qCZu zq>Wa^N67srd-=jHhqqr?f(0ZeL@Hz+o>JbJx9ETg-HqZ^e*+LT3Ly)TsQb)!nZP|fP{Fsmc$ZgTd z6XF4ep{-fB-=1yUpId*cULhaI5|UV9wZjI z3J-tl>nD}C@Wu{A<6Qj^iOW3T3Ao+`l8_*M2$@mdu=jF?+@mg6Ss+2Mgz#NG=uPPT ztzK7WHVn;8=8IUuK|t4J4>qvw?&r%A!i{g`$^pW`9kT5mp2!?^N&JMaGQWXzL<|9@ zJsjPfcoQfunHKW@%(NI09dDqnc|H0kb&XwvQTz3-bq%$Z=gyzG@^twCr0wc?{-E|o z-i1matL)kxNH@|x)>Rajo?qu?1D=%SS5@WE(Tj(*oec<`E-pD$3G|iaBh_=DucyBF zK{wD_UQ${F**fq8nWh=`DZA?n@BO$9vU|>!oU6R`0NAbTe2!3kA!>TO5q0%+G}K-{ zSF0o1>ubwTl6d>J#T~U3MJ4xjtq*Fd%1SR@KL&W^{pzbbFLvmf?^c!06qwDp)`>7) z)B3;)p^H`L&s{h^4%lVH93ZYA19oq=!A8re3Y>1HS_#gq3b}sm7|>hSp#vD^?8fEG z=OXs9d&gj8we2mZDqvH&BI>uU3KlxeDh()>lc{X<6&yAK~#sC2OkkxFtshc&K7ny?47}B z>pZbx2e3RUc+F*f&5gM6;9y%sN5b;AVQMRgiZ!7dTkmZc4pX~rtoX%`zG&@*S?KIz*_Ujp~zw$*1?pf+aJnsXg6v2;n>-+6L9AB=vmqiK!K4#=PR zWCB7-+tIkYmn??)E-BXC+q0)GVbgWuMIMQdJx1IjDz`;>sq_CJh%W-(+>Y^kcYDiz z>R6R~@KM{zqN+!Am6izO+>T|R=6o+B_RYRg+^}FgHMH%n#r8ZP-|w08M7o(C$iLZe z6z+}D+KW5#Xy|d`3lTDdxG?@eQMdNmqU7eTJUV)k{KOigu0^mw#8iF1s+q_$Lr-Vb zO#qNpjwWlqzpwkPN;b?KJ==UwPjjBr(f0I6o|s;kFbK76Cv*=ARy}ov_nxm?hQs<2 j%)l9Yr|U{u7Jpqn95TEtCR0%_6i48{14bZy*0BEqSYiSw literal 0 HcmV?d00001 diff --git a/assets/icon_pool/icon_inspect_results.xcf b/assets/icon_pool/icon_inspect_results.xcf new file mode 100644 index 0000000000000000000000000000000000000000..79d231286af05cd1df08f20017a1dbe2507504e2 GIT binary patch literal 8822 zcmd^E3tW>&wx2uzK@`+>ebl-s+V#-}l8`5l5JGrALf%Xxf0f;7#Y3B3vOB*+W~{7iv7PPxvym1LkFfXs&c z5aeIDX(p5pBIG+C%1H*TmRnk8(i@6tu8}ICfrnU-$0x?baNGi@1{Q(|Ttf*}NOKFz z3_7Al#(RHWxw*QS=9HU?4Z8V$^Yn#UQ?aRxGtXIY%L+9Vhv)p`&j+z)3^AYM{3GJ3 z@={7`Fcxz7Jg8OQQFB+g6-I-ZV=!uq=yKA+q}P|zW{y*T6zwAKR3jwI&^y6gf9b9mkc_ZOO=LsxU~-m+|hQ>a;I~HWr$TU?kx`qn%^W{Zq;d%M7&9Oql^Z zu;d;+XVBm>6+|}+9%zs}^d9<|CcU|mDg$`p6I0VUf?z%`I8<oP z_&jkxP11`@W>ats@%T*eTrh6TY3G)d1{14;qtg=s^x!dV7*R?urp$U%SxJyQ$6(Z% zD$B>3wPPUUUok?rZg*i!?P{P;HIw4o1*9o{nF{R^D z6i?5U>G>joRHD;qDEdcc2)!p5$^n$>JpR&OzyxJFO3LHuD6Ui=D&Y$GIz3mT6>GU-tw1K^Nkg?dK6RhN zl)G1TbRpmgPC(8%;*gwqZr`7OpB+{f(XjcD9hA!xbNM{AAT%sgbeA18*X4+#Ko|Tk zKp$y)zo3sa91C$(F%j0onG64mYlqZk~X^~Di=E?FSbNg3;K4SN1 z(4|~~(7hZ5KeiA7^u#fIj4u`Oq*@Wp)rcf|E=*6tl}W@pF3so5BpSdVRH*-Pmw^4J z&|svBN3T-i!8-6@9VL)~+w!;q9qBz(BH>Ckw15l#EamA%GOaMwV{=5v?Ngov2&0nk zF;~U^l&cIl=PD=9aFx@XK@`MXnXdXBzZ0P5519l{lZ#CirF1ats2r`Sw3;*98QXb- zgoJDu@*{+fdLDiuK7ma5q@}N$h5`kRqGyhx{YKH8QS|sxG_i#ANfNQlLk9p&#v_p+ z;rl=)GSdH}ZW;5Enb^S~9im}I zP0cvWL|E&)7i#|zLo$#(aK-WN-6}6+n||T>+069D-?EXT!Nfwtf#(!VlEeXh7hZTA+~Z958(xg;h%j|X zQ=IXWiync+?Mzcr-F#AbAOmuWJ6J>LVT2zDL_-rL;b8&j)|7C01VV#7m%6Xt^zl^f zZQp&{)<05poEos%tnRAv4_CgnS*=7mHC!I`1P zUIt= z;iKbc8jVR&EY#cH*n0N-F?68ihSk~}C6}|%^{#U^tHtu&)wVvX^;=;1!U^5k#S}grH1_tc|gNu-iEr*Ed*1(x_eKxDj&O(DciAW@2p@Fj( z`)$?%yFVJb+}m$q4*0?*WKRv7$KfVSK=$y*XV2lK0Kt1q5+1c^0=mh2JY23wN0*uo zG<zhtr>;YzG`~nYn@$WFZa5obTrboKqOZ>R2v*R*MI!o!oZ{dgS zm(DgaQS-Xe5~KOo>4ueW{q@+NHHlI5;*5;{{`i}3PJFTaqkR{n;GZziH|0IQM;9N9UDpvqZs`_hh4v%ZK)V z-_>=c8zpC^siKw2=xipse(3YFP9A!4X-B!IfH zB3HSz9;eK<9kf>mpFMsYDRu(R-&o$ zx9XUMr_7bBH}7~VT?MGtqV=0{ql;>4*S&_`c&$7&J|Qu_ z4p7aAHPqC;vIU`U-l%`}#aFk!1z@HbUfj6pH86bOvv=yZez5OrfOTP2Rdr?T1cZ;m zPU-jq5T{re?*>#4;b9<9QO6BOj{r9MZ&`SFH#!K?>wxK(*g>RwNihV{6Cgdg<}wRg z;S}?kHeI~d3U43|2JUkV58grxR`g@ipTi6Ho!a(Nk>E22G$j8_JmkQR4FKM6>=Q8F z0k*Glst&mtfN&kWW~_q#9sR>Tc<`g(N0_8`t@^SL?(8_-Fw?2uxuw_HAM^?190H9& z2N`f2Sn$NLzkd(?V8>s6_kNcb?r|XY_=rK!8!kX>b&G2_ut02O;#&?1Cb0ONz4!X* z=K-q8+lPjS&c*@dJ@w&-9{L5@gC~;>5i&VSSdE{+??~)%x3^KE^MCm^O2+%C#|1eG z;KK()4W;XYhMBH1bBn2Jx{UM-(`HELl~83*R+MsrB3y(#LL-lWj}JypIUK2xOM>_^ zp_sQMNZ$BKLnIfRnDn)e%>gC>$?j0puh>DjogZI(vyZNr@1;q8ST6lf$b)yx?{NG?WZ#C*#RM?MBgZ4% z&L+Od_VA`NHqwubjN}O^iMRV2v?e2ol8C?)Z~r^^Jh6wQpX&3T5X;pInn`@$lRN;p zpUccrj{r)K49J;lJbW=?jQ2t~CjeRf(E>`lI4e)*kNOfd;wRJ#5zRjgW*mz|Lw9~-+c8u;ni8A-CVe9hvlMX|q{z?h$* zK~8>tPN2VkQhIz`LM#N9UJvq=OBY7N{+LlfPe6)fChDK5->?Ir{23W((JW+F7vuvQ zrdIdzhBwgTF}cw&wQMS1kqq}J%h%RzcsVpf>4k>WngXJ=_wzmPzEUM~K??hUTuw@b&cy`EfwXJKwAKf}R@N#Es^U-6U|LxjpA7mXEy4l`(s`|@j0PDz! za{~bS5B8=5hmXA+Jr687va_Y7oQ?V~x7s=pI&|RRzGi^$$WElY3GfYd9B3Z|cpDEM zZs9JN93EZ!;U&zc_fb`E)y=+h)6oP{)3B<%jiXV93(hdh%$i9pCC` zZG?>#__sE{U}nuQ*vt&0uxd+hwwhw}ueNEum3SA8tvo_=8i9G;so5c=n@Y(gNS3iUJ zt1j+=nYG@!zOM;9TU+zH=XO4M_A>zbd#ie^ z0Vq#hRQI*x?5Sn5!N9&8OTp>~z_lsdRF}EF_hNk@xOU%6dH;KWy&iu8+un><+e=|Z z*@64dBqZ=_5O?)Y(G-{EDk{5Ylf! zvo0L>3rJddz<%-Vx7!L{If?tLo&1@5@M+wq{EHWckNnZH*8EXV z-`<9np0?)ki13A$RU6B9CF2h&PaWulyVcCT3w~Rw0sNF3k&m*y902~eou9zkm~Q=Q zM>Pxmpy>}oUhrHv=h5QR?+2s8?tyAHx>|U3F5xN~V1roFvTJQOuJ%ILmbc9TCa)1K zFzmWy|9eYvfH%7F>O}`DvdYqT?a$S6_WlB2)VBrO+uvDxP2swnh5cm_hdJtoHt_Zh O?Ssx6+6T!E?LPqQptD8* literal 0 HcmV?d00001 diff --git a/assets/icon_pool/icon_results.xcf b/assets/icon_pool/icon_results.xcf new file mode 100644 index 0000000000000000000000000000000000000000..575248228096a4528e69a0b58d1130abe9067d69 GIT binary patch literal 11852 zcmd5?2V9fa+CLdMP^%r<_SUN@F0>{jA(IgxK-e2(C`ibF2qXw$sdX>hgIZ~;t=8GP z>gsSY+*(&H7FQKTmI|U02$1)CP8Ml@Sa0w5efM`?J-p``=bY#K&v;MX|C_4H%%T;@ zl(al1i-q8N&zx|69i%rQkx208ZAg8@D|MgY1o?L$Q6b?1L(F+H+y^7ncP!lBRLNxY ztZa=^m7$=krI`xQAqu2^0p8v;vjN0GsSpBPl_^bC&{MNja_olN+vS*}EzD5Rax@t# z`B-~LWvWb*p~8gKOM)D$U=Y5d0;3+9v_%q*JmA2t`{WJzTzbt;X;1gY>3l3AeV zs#RK=N-axMZh~o+<8WSyBzBg|7!n9Z3PWUE{Z3ix)K>+hRVkH>*Uti6 zZ2=_jY=u;-$&S`&GHgcmRh8osA?6i}*NW{riMFhhkC<#1<}2YfRspM7S@`c)5E8=h z(a3T$VWtQ8IEe6e;v(0`RB{(%R>Xk;oGz6zm2{z!#bpcla(RkW z@fSUW+Wl2I07~IRR-#jm);CYBm<0Ga zhbJV>(LDFZ{>=*W(-g4z;2o6CIoy{>XNA_PW zL;yXYhdIU)aG3%bS3ytV@|ASx9-l7c^W<~|izVcz00zz+rwdXPY&y(m0aM8p$~exJnBAPZpYr&CU~~07YZ3q_TvViSqvFMLEfh8KE4wF;7BU!@aIQQPN5=Fj4mYLlzk6FYJ|+GLanMCqbdT(F@X8wiLO=g!^+) zTtC!KCIujgkN2C%K=X+~fUOv?r3HmZ#D1ZGEk8KO*UO#D<+%8V0k)FRKp!tx9!~&B z@m&I-HJyKu3x~rKh`b>J{#bEP2%sd^g}5NZ;RrlDp*Q@o5NjBe5Oe+D_MFENh&&N! zkylUvU@PW`B)Al(Q|Kf11#G=TB?yT*$jd(%i9;X&7oKNuXn?n;E7z!(1O*0rLaSaO ze%_uU9*5%&D@N=o_7n>J1A`@E4?dU2^bHM0MtzVE#Ny?_1kD^7COq&%A@3#t8x2@mwAXLY{2ER!m`IuYeE< zNxr5&(+tiMuPakljM&k(_>Emh5}RP^%E-L_hU%1g_R zRYGr0Z9%_2C!j=4>BA1d_HtRpiCP3&RMXl9*w!4cZZuGl{&d-y${P;>+xuuaST<~R3C<(-F>ln#}&Z#yOX8pF}i&Ou)R5K_hs;EX?r^8;@MNE z7O?F%{mV|Y`QDB5C5V7|+rQ5#bh@k*uuVH1gJz+ph_D+1X(m_)BSSCZP1K7Z-WZ5_ z6U3l5aDMPR$UuY+Mg-LnZzPs|2k&cCX>Kak{kQG8I3~-U%Y?jf&xLIk!0mC*#d^!0 zi+{J+@87+{QvTwZax9ze zl~;d0TYjwDzw(+%-o1Sjv{!xiH!L6h!Cd~q9gvOXP4z!8+rKxrSAFM()sD*>{cY;6 z#^sIj?j0sO_=Akg+xmCcXZ1J63-$ei+lP2evZ;M*f1v$8*p2O-DL-nh5Bx8h+TZ>) z#J6wr+6DP(3Bm48AHGHDmV?}#Xm3$X^87qif>G{cl#A!*nf!Gn6vmiCQyOMee+gZ7N|k1*P8;<1rU?f1j@LH_}Nz}JlbCX5%12ZLrB52GFM z1-k_=z!Q&$vA(^Q@iWJ}ZxbG$c#OYwJn{j5FZKv4-g&0}TV)(C^xx#asTkrn;%%&d zAI9GnuWcA#qrb5{#?Oqe(cgq$cYQYa{jvY%_>AM()A*R@&p~K!Iv#&#Q~bvEaQha! zv3(dn+xkrL8soE$e-GnpkB`X4eG~7U_<1lqLzAkRoTVyIWT>Vo6dfg)fSNESfrsJ4!dzMGW-#w<|_g`8?!}a#IHl0}%Z>zu9rqf~TyRIUS z^c`h2ZEdaCI?hexyQ8s5r*Fe2oR(pZPE58?BnmvL)3tR_Q5T)>W+&2zozu0xcu7G7 z-A<(Q^zwLCp^@-@X0&SyWo}OsA{#5Q!+L zsqRjjuC?{IC-+-)x?e%nmy8Ux_sP1p>&Jd>*0nv{Ll!;t5V@oJ=GNAi&)Pfm?Hv(F zNEML~=|%gkJ1uRxHa!J(F!@|ApMu(NSHEo2wd?z%&PUBJTgmNxVczINTpVe1{{cwv zI)21RW-w%!AMss1A_k!6%<--w&v5kMO6iI7cY0anD~FFBJNK|#zW7aDZC!0Iblm8# zEGgaEP*+!rkjk48F;Vyt;HFyj_3?)K`Z^RHBpCDF`yT*!-m9D>gl|F$ExdUj{;i3BDeUX<&?VSGp8%es(-#aD)z)Fa$Q^LXFIMus;~Oe1mJ{A zRkbyDZr-n{t#8osJ*lF`38>~#`SF`|b@dG>C@R#)ODy)9Kt@gFCvO{dC_OPYGCDRP ziHtfg+^Bv;hOpb^NpT62<>>(GC%JLr#8rT0W+;2ScrIjO1$BOHUOwau_jR6VwNsnwH-j67GeZd z>=D1Rr)u*Tt=~8`+y_uy zidL_S^GYjPy7E)>)u%Zje*OV|%K+6#Usci4H6;jL`fAn81#3Us3Sfq+7JRbqQwY5M z$j()t?LKx9U=1rMD9raAfQU0>!eH12nd=mS*bAtZ6J3x&X*JIbjqF~C_?1F*?L}o^ zZ30Zs5e95Mif^4@y$aTAiyu)49h_BrzxO_GiH<^$3?!n((ADt*jhp+D!1WpIh?eW0 zFHd71F+f55pGLCo@&)HRHM>HA`wVzuD_;n>C zYIK#UIf#I#BNHzSQs_X!9es1tjoARzTN^sNI&VuL*X!MXe(=E%ya&IFH$+HyPagUg zj}$P!_Bn!m{!`BpWPX+N?>D<RU<1|ACX1egD5RGI3qQ_^ zcI8CKGy*D6n*@nMCFSdKQbUBo32E86RB9I)VO_c|Eiu5uJ5ilK&8mxQiVg9Lh)*xr zS99WJfoT-{KBMZ+L>oA?A?6u(xWb8`KYFFNrWOjclQ2W-N-KoomCtxCD7x`np@~Fa;^ZZ1l~N zc{8(jc~|S{6;r3E($v!zu1>mg<5BCA>o?o< z2BPuH*#$XMvkT@dSrbxq|LNoN6?b4oKCWN8V)2|=a~Cg%y^utuo+!WA2)%e({&mTU zWvffR{CWp~N;!V&#!D*kB>CITpB8_yZSRj2upmfIj~;b_E8*P-h7$&u!gdCJb=a8k zPVZO;n5|>cN7IHo!rN}^U@~;{aibhYjB{c;TXkcb97m5FGnT;)Qp88ZB*5!BJQcy%>Ri<%(2e6#Rj0Cl_Yglkn>XeL3P!D!< zadLEKj0QE=J2WIEgRFj>iQaH`UShI3FraM%Q?N|l-r zmXw~U2;?|1#yZkDqQHpgNvWBcsgq)4nVC|FGvg!2aZH};$k>ErRYsaTS*prZMZ2-c zjK@q4-_g21Vs7!C^LIc?rrva3y(BYHUNCdT z7Inm~%QvfQ>k%pZ#Gz#wC5z+=Q14tKgTo8C{t0p`{c*>FL}^xHO2LeID;5=Ttj@xfa)l@&)0S3!|=^JdPNKL3*~-}!F&?(FZ^_8z!a z&UGt`78kAFu;YNs{u9@K`Fh>q+PeDsTYGkI`=Vsywmk=r;PG9#cGJZ=O8wIp7mn`v z_Q0`I7p~#~E-L=+Hnsjq?2Yq39xl6lyRH?F?*|np8yd*n={j-{#5_kvuhU>zUzujqU#}9q7;l*$3G{M8|P%o$D zciMrmz&mkQMfCgqsU&3Yf2_lN*q{)dU8R0~DX6PoC>(gY3>{r|#M7?R6NlNuZ>)Zy zXQ5N_1LM;+y3iM{e0oX0!|+adO{vnbn5iUUBk(wLBiOi#0cj%$yC(Td$hNYx4@o+ z$bH@zIIw?jGMu_7UYGo*!zY}{AqHc8-^Da}sL&7wKDnKB}`6p$oMh=f21T; zYgN(=l{AM|X#8j?14#K?_)LiApit9ub8t;5(i{a{uF6&z$$nafHXD?G{*=n}B^CZq zYD#Vnd~8ujlL2k6z^*Bp0(z!KuAnL54F>)Y3oG*RhdVSDpTWn`VNIGsm71odu>=et zKP^h*7gg3^(^L>GP?E+_F@84J=ruNiWm=h!b))z6U<1|Y(-!?K(gb8pXg+GAs4uq? zM8n8F$Ur?nB@8&%kw*N$>fIj^@N>e@o@9@R`#3Yv9(Daj_`QMjpA&by2a@_B!-oyV zB7ITYKiA!A!}SPpOO_Yic((Vo5Ukkny4NA?mn$0UoMhe-YGfMFeobp4T)V{HjY;aNCVPJer#rc5mBILxwk_y@-%+XG!= zqFK5BcpFF^pjju-d!SkSjOu}A9ow(}sEKfH(*w=w>0(dm=2z&JnK+p@kWFu|0D8`JnOO* z#b2TE-e#V4vM1(Q^Oh_tUg2!wSyPfR&wBLa;cwPtkCBApw+Ygq3DOis@mH&stlA5N zRa{VXs6-6Uk50S?*&{=+Kg?&+AV`2WiHQJt0&-$NoWA~Ehui~VK;R1u(ydG zdDzPPui#-1d~M`mxkLM)VV+hV7M_4BF%Qdw*=R?4)7i?y5(MU94SnB&*5B^(w4q`9 z0$k(F3~V4%2n*lAM81Xu39;=xu1hb}E)EuY1_k$_B4Pj_?c?g@#vMuOMq0@GBhtWf z|CxzhVPRqyS((^EGZTBKn~7cFQyTf>wwUC%*6gQ4A7-b+WTiF)>B>t!7Pcq_D3dm^`b@7 z5o@8DiETQDnOIrToLO7aO-!t=74x+<&+b%|6vmu^myORKwO=7RI|6s^{bbPwOvOID za1bB%aeXw(lqOxz$U*C+TXw){>IpNGCxg7ww+x=wx9xb`3{Sel3S{HtjvptB|oqxTwcJ>HzRLed4l0w*4f}gpMqS_gN2LHA85PYNX zzV7_SLJE4E^3ny_84#lVjuLL{VxZK9_ChLplKNx})_MYAPMTD;eMtjRXosHW-5&`` z=4CWawf%wqm#UzFz0k9@)dq@tL2Jv?gM}jM@#Ma!rG(Hw+_~hbC!Bk}Y#IdnO9YLK hbgc6GWli(GygXQ0dXplABtV2vl28Q%1Sx_bO;8j;sv=15qEwM4 zh#*axQl(vyD)I%rb-s7zn>+Kp|J`Ixa?b9a-|qf)pPig%5@%|xO9$iz0ssIyeLXF6 z;y35%K}|{goDERj2LKqGf-P+c=7<1(ADp)<#uLp?2=YPmqXRLn06^fxde&usVP#LP zlLjC-f<@0ok!Nt5zB$AR@^mD{Zg69F3+?g7+}bro3&2E@F?q6E-hE8#)DS&iIbvPS zI%qRmTJbgSVCm^h>#L=sy@RFWEBnD8Lz|ft(-jJrW~{G_wGPH4QK`fXNFMAwl5_G- zDED>`Q*8~sW*S1@;GnlmsrrcNgBf-n>jJ z!B^fkxHKJ5jSF#1c|p+-!gF0^Gcx3wP-p^+T2l7pn$`E<7oA)8hU%6lHx-{gXmYh4 z!V8Rit|{I#-;gXjdj_E?-#rpv{vDW9yk~#lh59DUmXQ;-rF!EgwS(BF=Nb%RU#?{% zq&s=)Zl!ZT2QoK$GOms&q|V)4SI)Lo#}!b%{@V7?;(MlHefyJ~joYJ~K@?KxSE&&T zGuNA1TjqEqDM+U-x^yF`a*j$EhL=Z z<CT0w zT!fiqp-0CH2VTq@(EhMRzki=m_M%-h-Tz}{Z&?#|`Z)QjSVL-3Hf|N8YjSdFonp;< z=6Zx(U@kk@+#hj#DY2^N1s_v_aR-F#`7#c$eU&l!?GWTE=o1f}Vtb!QzJ#!}KD5so z(s2p0$@n=+-e2lsEH~~1H099mQlD*-rd*7wgja+4U-+k2d z?L%YSw72e_iTC&Q?UVT%#>Pw4Ura<-{BoYegpX11@(An%KRTX>PEqhPax3b-^8Pmb z=!)CmyCTO5OS?(@m(<0%@usA#Zu-!CHXX{tb7Sl^+2SL11Ge{dpr0&4?0l0Ons(F& zwqd#scrjN_4=F!E@vm9?*{~D4$h8wq^X<&Sq}I&6V5l1$U>ppP*S@cG$!}R4-fc)cr* zzDZWS;8?6{%QljN#DP&(8mW&hSBK387Vr?F=Yn5q}(Zwra-trdO)tG{ToX~HZkIkZKh6*vd!P3*a~u*|`m z(Zmx|Yb(-odm}LYgH71mOU!#@RMCw?p7UEHX@~Lht>w?657(DpJY+N%$+3Qo91@@y zFOA}8(HTo5!DlWm$L&jy<=OJ$feD#I9Wo^s8s2r8?>w7jolGgyNiw>lcqnT0Zoh(! zk~?*H)Hq$F(%jiO;Qq7Mo)cG#L;4Wjh7TlM1ZHBQ+s&A3KTHgHd-J5L=$kKAu_km7 zS~JEqt^3q#+Ju}$Jf3`@%XD`RdM=D-pQqV~x~6T#rJBeq-#}a8OG>~`$7ylRm8PF5 zVVy5LyQMrZ4)g9(y{TBp1Lcrepuuq77>@AW5=dPgBT)#XCp8jGFB+ln8Vv|5Ja59p z*N=(WwLmwiNv!ipOdf%2RHymUYqeY6#~jvNS(SgIqAB&wqkQz7AEt+S_N%>+S|siL zu;EF_!)%(bg?+2p!? z*25iC?G^Lmf{wFB@OWDNORih2T_2N2Us~_fUu8B=rfk(A%+!-JWo1%d=YCTo#!$=_ zog=B2*VfgAEtGg+6IE}}herxlX^D%d&PLLZII|%X7UIy7u6_MRv2bXl3Z4hcPBv4M zFW33Ddywo_nIC85Ba@PKRJ?(s*9X(a$D~jldy-b?#yPv**gI}yBp0MQxkQr&$M&mz zc~?Uj7I$+w-Pgr$BAnYxL1OQM+1STcKSqq-;;o#}3Gb#c<29-}b9hFSF_O2)wI_~g zmxtTysY`?@%)K`6<7^bQd@f~iOvVj9$eIeIwM286E4akf*unXLv2!G*U3u7KTciFg zXLka{O6Y9IM##vS%Lm0}GvN1rhbfM)#?)Wm^m=8TJdWOuk6!m|?mAcXsVU;d=W7nb z;F>nR7V@<_k{$8>v+?!uH4+W%9_NiZy3ukHRV1VDt7R;nwCkyv9p`V09}PYj7engk zISW*BNu0UK63=1__o*r$f=rp*m)0_TacrX<_7%jPgz= zCTt7}S%NR!2|Q$p;gaWZCb_8U$w=~7Gt4y9Iu-l?!_^9H^za}law_{ z&tB%XL-Ed%6seD84kZU2atZDz)v&^)MvYX-b%ke3vB^K?pPUJjm>%Mq_Ss<^E_{4l zTxg&!;cC=g9l8}wnyqPsa0*#Ezc1a_YdRgLBH_!m6-Z^sL_R%}MP=87ecze%jWJpl zQLEvUCV_foA<7FJlFiPr&lHJ;J>KnYyqlB|%|=esUd_dT}`f-s1X2jc|RjDLt^#sN?K}$-HmfjxcwG8U;Bl+|RXDT2?&s|u~ zLjJ|v8+#KXNZ3kYeI3WH^*Qn0n!~;m_!8&I zll_*q^SRe_X&H>2yJPowOD!tr_Y0QE1+B z9v6TVwM!pa`#O{s#cP(VAZmDZaqet-;)xA|xI%1@PJx+yuhxAnfyHq;Gk#q!AN*9W zpGcBufN~y^^!1gg7teGStSNaq7!XbKkh6vR#_e|;)B){IK25LVg zpW=@5RG!))J=3dVeNA@V<`K`~rOy`YSpzDTlXo7e<+Ew&1M8a452m&1vNGUZ?zx9i zg<-lb-4IP&HQ7nhauJLZq3SZENmbv$xJP-g@TS%8mX~@d6?9QPcg+{_>7B4pOL%Wx zQFq=pIzzxN#6R4%=ViijR?$d#g-N~ZS|@=n5BtvM+O2|@uNDgG;VYp&F7-GeS-Yr}Vrce_T9Oe{yKqhHUS9%# zeqJszqa)aJzeob4dagCg&47EBhHE2coG%6@y%KYHt!1azV3sC?gXU3r*YvJxid>CU zs-ah~&wX1KWsZ<#nqA%wU{0{~IQ5}r8*n!$?_fd^t1K~-pb@|F!hMCBcj^a$0#*A> z0@{FjQ5+zh;r3{dMyaJBsVcExCW^YQrSRP3fmbYK&@ukKo6+up*nn90L{=~bl^p1< z3P0)tHBM+wOLiL2+ojx2FULM^xGLfC@|xIWY)}7m|8f(@I)*<_m&fSBTGiYq>FU(XoVPD4?0PixL7?xSg&C)NJ(K3Tf8Cm)MT(Gjy~ZSJ98l&h%-6Ys+^GNc(e@R z48u*94EcBSji8c^Gt@-%N~7Mvb7=91(u9WCSC6Q z=zqahc@)bh4&v1?9J;uE5Oers5qVZI5YJf}AKF3Iw|}nVDtv7faa&K)BP`K>#68=y zJ4VcnZ*!up1zR8!y>H!gwt270dP+SMqaB3Z%Bbj5p0(o-ZY256{2A}?YNN_w>M@sg zc3q$_)8j|u>^uVVO=_JbZ-+O}W{}Qk*Qj2{AJ84#D926~xE}E&+y@14RtmsgT}jcf z2hw(7S4`vPtq=~l??4iN_{`nW}uhpt5 zY{o!0EXJ_*?BYF5a}N=1iP%xa5-J1oJYZ64t}I1AxarQu(s~bH65Gc!85h+)Hy@?! ztUriKang6^GfIB_y@qwlKjVd%@Q0~dqh>`a!-Ux%K?$v#q^&Do4t@kY+edN*KTSRo z)SNTR-SHdcOAUh`WNpEw-6}`p3zsbJZ5^g94tyIL`#On&CNsz)M26)rOy%6z<>Na! zQ9qGnARVn5IaWTe{muRPJ-HA7fFv5DscEXOsrkn?266KuJM@mKUi&4UPA7Xq?I(ik z{PW4VN|zZy^Ws()BBO_`-QU0ZGz@khPR_4a0G3fusj)w$ml|kPss~2SQpHx?NX@&I zw%?lnR;Vye&?dU_LomluLSG~FN4?C93W8s#eAwk`jvvNMZ(?j{Hvp6cwuwgC7Y7suT zcLjBG&XD})h_|4(b&ETrAG=q`k_*Z*yu)v3IyY;LuSsogtZ%H(z}A0+0dk^o4W;Dw zf{FW0{utuEk}cdw3F(cMLZG}|&{Ba|AL70f0HC54=z~Cdpb7jgXg7?Ps^Df*s~|rH zr7CD63x~jcG|}!Dy01gZoo5dpAh0)jsf>*BwRC=mAYQ2ox)TUK zN?>q6K!8*LOv)SQ28JpsDuN->U}MA; zmc;EjusIsyE=6(I;&c~=lj8ioeR$hk;^5V9yJNI}6BB`YVR0F^H7%ajK4fgSJ`>8lBj1n;&BDILqP9-A$loPX2(!`+= z1aF+Bx3{ON;Ayn{r;vZD;lu@nLJ$yI2m+eu4I(Y01d&yODq2Dnm7wxU5JgFdv=ZcR z_TDIrYtaA8`gHm5tNbdu9tKbJAM{i7YfV|8eScm3y7a{STul7@KbM6P0{JTiJi;H1 z`WYt?>z4}Yj_`6r6X(b84f}^2^FK6$oU4L@v@043l1IrAD<~@m1-Zx|r9ratauArS zvM-| z`1fSNrxW9kY*oPj7auA=4gNM_i1+=H5l0ts5`zC6g}?JfjP-x>^?M!uH(l`a|L5di z@%tZL|IziY82DGl|8>`Ybp0y^{+026-Sz*CF5q7eQ)n;ZFQ5S8qtYG?uO9I+i_*nV zR|{}*`hL_>luDG)_~>260|2xvrw0k(UiRs~0jLQ2aBZq(3Kk|NAhVk;6#zh5tgoeR zsn@-p)@#CI#@coL-M|^YVS~6d>-d7--U4L=i_I*0IP<(@^6VGdI_hz`QVDU;#()UX zL#k!Imy+As!ZH<1tSKo*BL<&x1>^ZM*khl)d)1#d!mT~cb)0g)PxW9?d1>leE7{4m zjS%yhG2KYSH#eR+hG_e6>zCd)=U>(&7hd_XKz_%${^R!@vURmbj&zvStQiAmVBM1C z5#3=kbkuyd#Ij8ch%Wm;Joo8c^e0NdG$9hs{67^MzRR~pMMmVeNY$X+$Fmk z9*hSq=)lGL(ML3dNxepxunMJqz|Bi_AVV&B8#g_Ra$rziej*{s^NwRU*{sGp&_Js~ zJn{|jlIM(Dysnn3grB+pjeac9TmCx2-#>o#e&u&N278i+BNvsZ^ck&!><# z%xXTq{hRU2CSM`_B=xoj>PEDz7i{(FVI2u~cMOjA<0a#c2#3+)i7adfG@henm+WoX zKU*|v>((t_AR(iBJmt4jacm_^6F@oROu{GW=QTpe{jy~iV4vGz+rCi&?+E2m85EJY z@VQj3sZZS~jl4uf?TN7Pfa*mJ6L^{!oR%k_KAfeTVSbg3YcgH15u$}HvYCjF!$D(V*H;%AldPk4yHL`iH3JLHDS-G;jCwIZvn@2{uIK z%eEhe-FZO1Mc;dHHw2bna!x~-vy8F~5CZ^eowYdY>U+_`C!``ZZSig|*L3=P1!KV* z>(1JT^Pde{zpn7QQQ1{is|vvBuJ0N3XXUXM(t-zi@azC>8(UV6)|Jcl@~`d<(i;@f zlIV@!U6xGDrS~S~1Y%Y*oVH(K-cb!?*M5DVf*N>KTA>uaAOKH1*}WirZW>tqDfU4R f$5GOCRwoj_%GD%C_Q)Dy8w2#UjkU@&oFo4a+P(^G literal 0 HcmV?d00001 diff --git a/deps/eigen b/deps/eigen index 7ad7c1d5..8b4efc8e 160000 --- a/deps/eigen +++ b/deps/eigen @@ -1 +1 @@ -Subproject commit 7ad7c1d5c59ab0bf87f83003283f0cc8357789bd +Subproject commit 8b4efc8ed8a65415e248d54fbc9afdd964c94f64 diff --git a/deps/pybind11 b/deps/pybind11 index 7e418f49..0ed20f26 160000 --- a/deps/pybind11 +++ b/deps/pybind11 @@ -1 +1 @@ -Subproject commit 7e418f49243bb7d13fa92cf2634af1eeac386465 +Subproject commit 0ed20f26acee626ac989568ecc6347e159ddbb47 diff --git a/doc/gh_DFExportCloudToFile.rst b/doc/gh_DFExportCloudToFile.rst new file mode 100644 index 00000000..164331a4 --- /dev/null +++ b/doc/gh_DFExportCloudToFile.rst @@ -0,0 +1,8 @@ +.. image:: ../src/gh/components/DF_export_cloud_to_file/icon.png + :align: left + :width: 40px + +``DFExportCloudToFile`` component +================================= + +.. ghcomponent_to_rst:: ../src/gh/components/DF_export_cloud_to_file \ No newline at end of file diff --git a/doc/gh_DFExportResults.rst b/doc/gh_DFExportResults.rst new file mode 100644 index 00000000..bf5fb73e --- /dev/null +++ b/doc/gh_DFExportResults.rst @@ -0,0 +1,8 @@ +.. image:: ../src/gh/components/DF_export_results/icon.png + :align: left + :width: 40px + +``DFExportResults`` component +============================= + +.. ghcomponent_to_rst:: ../src/gh/components/DF_export_results \ No newline at end of file diff --git a/doc/gh_DFImportResults.rst b/doc/gh_DFImportResults.rst new file mode 100644 index 00000000..affbc98a --- /dev/null +++ b/doc/gh_DFImportResults.rst @@ -0,0 +1,8 @@ +.. image:: ../src/gh/components/DF_import_results/icon.png + :align: left + :width: 40px + +``DFImportResults`` component +============================= + +.. ghcomponent_to_rst:: ../src/gh/components/DF_import_results \ No newline at end of file diff --git a/doc/gh_DFInspectResults.rst b/doc/gh_DFInspectResults.rst new file mode 100644 index 00000000..5d5e243c --- /dev/null +++ b/doc/gh_DFInspectResults.rst @@ -0,0 +1,8 @@ +.. image:: ../src/gh/components/DF_inspect_results/icon.png + :align: left + :width: 40px + +``DFInspectResults`` component +============================== + +.. ghcomponent_to_rst:: ../src/gh/components/DF_inspect_results \ No newline at end of file diff --git a/doc/gh_components.rst b/doc/gh_components.rst index 08828e02..e668b9d8 100644 --- a/doc/gh_components.rst +++ b/doc/gh_components.rst @@ -81,6 +81,16 @@ DF has a Grasshopper_ plugin with a set of components that allows the user to in - .. image:: ../src/gh/components/DF_cloud_voxel_downsample/icon.png - `gh_DFCloudVoxelDownsample `_ + * - .. image:: ../src/gh/components/DF_export_cloud_to_file/icon.png + - `DFExportCloudToFile `_ + - .. image:: ../src/gh/components/DF_export_results/icon.png + - `DFExportResults `_ + + * - .. image:: ../src/gh/components/DF_import_results/icon.png + - `DFImportResults `_ + - .. image:: ../src/gh/components/DF_inspect_results/icon.png + - `DFInspectResults `_ + .. toctree:: :maxdepth: 1 @@ -113,4 +123,8 @@ DF has a Grasshopper_ plugin with a set of components that allows the user to in gh_DFColorizeCloud gh_DFBrepToCloud gh_DFRemoveStatisticalOutliers - gh_DFMergeAssemblies \ No newline at end of file + gh_DFMergeAssemblies + gh_DFExportCloudToFile + gh_DFExportResults + gh_DFImportResults + gh_DFInspectResults \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 0fb1af09..1b7616fe 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,10 +29,13 @@ module = "pefile" ignore_missing_imports = true [[tool.mypy.overrides]] -module = "diffCheck" -ignore_undefined_attributes = true - +module = "df_geometries" +disable_error_code = "annotation-unchecked" +check_untyped_defs = false +[[tool.mypy.overrides]] +module = "src.gh.diffCheck.diffCheck.df_geometries" +disable_error_code = "annotation-unchecked" [tool.ruff] exclude = [ diff --git a/src/diffCheck/IOManager.cc b/src/diffCheck/IOManager.cc index 8abc2970..2a857950 100644 --- a/src/diffCheck/IOManager.cc +++ b/src/diffCheck/IOManager.cc @@ -28,6 +28,15 @@ namespace diffCheck::io return mesh; } + void WritePLYPointCloud(const std::shared_ptr &pointCloud, const std::string &filename) + { + auto open3dPointCloud = pointCloud->Cvt2O3DPointCloud(); + open3d::io::WritePointCloudToPLY( + filename, + *open3dPointCloud, + open3d::io::WritePointCloudOption()); + } + std::string GetTestDataDir() { // for github action conviniency diff --git a/src/diffCheck/IOManager.hh b/src/diffCheck/IOManager.hh index 95a745cf..e22c029d 100644 --- a/src/diffCheck/IOManager.hh +++ b/src/diffCheck/IOManager.hh @@ -25,6 +25,13 @@ namespace diffCheck::io */ std::shared_ptr ReadPLYMeshFromFile(const std::string &filename); + /** + * @brief Write a point cloud to a file as a PLY + * + * @param pointCloud the point cloud to write + * @param filename the path to the file with the extension + */ + void WritePLYPointCloud(const std::shared_ptr &pointCloud, const std::string &filename); ////////////////////////////////////////////////////////////////////////// // IO for test suite and tests data diff --git a/src/diffCheck/geometry/DFPointCloud.cc b/src/diffCheck/geometry/DFPointCloud.cc index 5a4bd742..d00fac65 100644 --- a/src/diffCheck/geometry/DFPointCloud.cc +++ b/src/diffCheck/geometry/DFPointCloud.cc @@ -277,6 +277,12 @@ namespace diffCheck::geometry this->Normals = cloud->Normals; } + void DFPointCloud::SaveToPLY(const std::string &path) + { + auto cloud_ptr = std::make_shared(this->Points, this->Colors, this->Normals); + diffCheck::io::WritePLYPointCloud(cloud_ptr, path); + } + std::vector DFPointCloud::ComputeDistance(std::shared_ptr target) { std::vector errors; diff --git a/src/diffCheck/geometry/DFPointCloud.hh b/src/diffCheck/geometry/DFPointCloud.hh index 62f512d4..b3f0a3be 100644 --- a/src/diffCheck/geometry/DFPointCloud.hh +++ b/src/diffCheck/geometry/DFPointCloud.hh @@ -153,6 +153,13 @@ namespace diffCheck::geometry */ void LoadFromPLY(const std::string &path); + /** + * @brief Save a point cloud to a file as a PLY + * + * @param filename the path to the file with the extension + */ + void SaveToPLY(const std::string &path); + public: ///< Distance calculations /** * @brief Compute the distance between two point clouds. diff --git a/src/diffCheckBindings.cc b/src/diffCheckBindings.cc index 606e31d7..434f5da2 100644 --- a/src/diffCheckBindings.cc +++ b/src/diffCheckBindings.cc @@ -56,6 +56,8 @@ PYBIND11_MODULE(diffcheck_bindings, m) { py::arg("nb_neighbors"), py::arg("std_ratio")) .def("load_from_PLY", &diffCheck::geometry::DFPointCloud::LoadFromPLY) + .def("save_to_PLY", &diffCheck::geometry::DFPointCloud::SaveToPLY) + .def("add_points", &diffCheck::geometry::DFPointCloud::AddPoints) .def("get_tight_bounding_box", &diffCheck::geometry::DFPointCloud::GetTightBoundingBox) diff --git a/src/gh/components/DF_export_cloud_to_file/code.py b/src/gh/components/DF_export_cloud_to_file/code.py new file mode 100644 index 00000000..02b04967 --- /dev/null +++ b/src/gh/components/DF_export_cloud_to_file/code.py @@ -0,0 +1,73 @@ +#! python3 + +import System + +import Rhino.Geometry as rg +from ghpythonlib.componentbase import executingcomponent as component + +from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML +import Grasshopper as gh + +from diffCheck import diffcheck_bindings +from diffCheck import df_cvt_bindings + + +def add_button(self, + nickname: str, + indx: int, + X_param_coord: float, + Y_param_coord: float, + X_offset: int=45 + ) -> None: + """ + Adds a button to the component input + + :param nickname: the nickname of the button + :param indx: the index of the input parameter + :param X_param_coord: the x coordinate of the input parameter + :param Y_param_coord: the y coordinate of the input parameter + :param X_offset: the offset of the button from the input parameter + """ + param = ghenv.Component.Params.Input[indx] # noqa: F821 + if param.SourceCount == 0: + button = gh.Kernel.Special.GH_ButtonObject() + button.NickName = "" + button.Description = "" + button.CreateAttributes() + button.Attributes.Pivot = System.Drawing.PointF( + X_param_coord - (button.Attributes.Bounds.Width) - X_offset, + Y_param_coord - (button.Attributes.Bounds.Height / 2 - 0.1) + ) + button.Attributes.ExpireLayout() + gh.Instances.ActiveCanvas.Document.AddObject(button, False) + ghenv.Component.Params.Input[indx].AddSource(button) # noqa: F821 + +class DFExportCloudToFile(component): + def __init__(self): + super(DFExportCloudToFile, self).__init__() + ghenv.Component.ExpireSolution(True) # noqa: F821 + ghenv.Component.Attributes.PerformLayout() # noqa: F821 + params = getattr(ghenv.Component.Params, "Input") # noqa: F821 + for j in range(len(params)): + X_cord = params[j].Attributes.Pivot.X + Y_cord = params[j].Attributes.InputGrip.Y + if params[j].Name == "i_dump": + add_button(self, "", j, X_cord, Y_cord) + + def RunScript(self, + i_dump: bool, + i_file_path: str, + i_cloud: rg.PointCloud) -> None: + if i_dump is None or i_file_path is None or i_cloud is None: + return None + + # check that the i_file_path is a valid path and it has the .ply extension + if not i_file_path.endswith(".ply"): + ghenv.Component.AddRuntimeMessage(RML.Warning, exception) # noqa: F821 + return None + + if i_dump: + df_cloud: diffcheck_bindings.dfb_geometry.DFPointCloud = df_cvt_bindings.cvt_rhcloud_2_dfcloud(i_cloud) + df_cloud.save_to_PLY(i_file_path) + + return None diff --git a/src/gh/components/DF_export_cloud_to_file/icon.png b/src/gh/components/DF_export_cloud_to_file/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..091afe791d76d8c278dfb38e49c1160825067463 GIT binary patch literal 10448 zcmeHtXHb(}*KX*&NS7KwIsroHgx-4&!e!-{D`DV_%bI$wk$>eT(t$nSvuC?}_d+#L9*iegtl$jI&08r>?tD9o4OqT~S zA@;oFqi_rW&^!5?-}E$v`2gK8uJ$NrB+%2(4GBd0qU-?x-_8OE}VJ3)s>DMzmQQjW4Z%?29oLg5qX4Dhr?X@;F*jlzJ z&2Q-!{n-3-<^+}J7QCROm^^KhC!I&cYUIcM<40Z5(RYsF*qU zPz+mW^;Op&AYO8pyxMrSf4y{DWpW*o`|d;agxpwzOZB)^>u0%? z9?A@+IdPG12_8Ks-wV>Gaevcym@)5!=A&z_qnTexM9j;`jp(G%A#q%zU{rG zq2|obi-#wzu2WW(wx7)u;e9RHX4RI_;w5=)iHTD`2qkj?A%Q_ZO4|Izndp%X+C0@i zatpN1@JP;e>Nle94a|y24Ikl0#_DM?s5#*4O;)5xP4me=tmH|J!k5f2#A`MrbWTLq zYBRPOtrg4M&U%3exU*fbit70mdNniF(~?(uLi#?vYEdwT|Gja7Vl)#x{;F_A4NsnG zyuj0J{CLnAtA4WV$85c-W_lak(o9{Er|-wgpRtc5N={hoRW?XgP0M(!&L=U}Pu@OK zIB@jeZhm+tfaSq3F?X`WK7V1d)cgVM`6JZ2rG1Xew1z-s^@^_0^V;pZk4F%eNB`C@L%W* zM&HYrYNjeIIm@z4dD#N0~JZZ~;zkU7XjNowOxWy;7ymwBUEyfPbf)y?a)ad*gY zP-c$N)#IxrJLbE(m1Z929P>jpP$5s*A}H{IJELMhu~MV$%umx)MZ@>BV@Rbm|IdmI znJzPEXnkk6>@!e3FyC@@+J%<`!fN?shCs$Qs_!k-zZh{lB^4OJi9h;*t~IBDxNSDE zy=BhDq%Glgl9m$5$2+Zj!7b*EvYBzq2;Ps6Gjm<-R|K!t46-=Phf(hugeaamiLh|} z^k_`@Zpbfh_;4TLfPhuWGVUZ_w_Twwh$Y%MTfLD|xOKp{0m{p+5azH3_Q|NmwROD&ujt9=b8(wRFP zK9T-tY)rlhC1cZR*IIHL+ClPfU9AO=?-^OHp&P?`?^P?`Fa#PyM^emkfh zeWSn$6Cb*GO=`G1EYbSmNqc>;`Q(TG^Rb5qOfG8SYT+n?53)Cyo+ej4P=awnbz})> zHiVajc}$CvxNcup9UairWF))lE<{-M_$pLz_dJaJ$H~1^u z1#V%duTyR^k357}JJiHkH}(+|ufUDbetXNN*@U^zr^Ylh)O#}S5n0?joFaM}bkUM7 zZzs`L=o?CZ=tl;96B~aiw@W(^Z@iMROLboNOw;>q3YunoF*IqNl`QG>G zR=8bRBfa?8>b*#3KP^If?W4d0^ilSm%>7BwTxZ=J6Uc3(a^dNta5Zb&eueiV@|Aci zPt*wKZRB68cu?Dt3d~!i*n0dZHBwq}S-Bly(-`<+dR?^PP&(%awBz7VETpV~{`-B= zgAajEY*L#8pd(c7=(=1*o=uLgeAOtw*_4Y$vSN&`WSV5l1%;IAtaSa)rv&rj#_cW!xKsQ&jxciL*WoRI2XK z(03x=)mUENq>Gdk=BX)Ozh+l%M!sbxhS%=qNF#d-9!WmvjblHUYFHP$V36zd+{3Mb zScSdaERN}F>|N!mIQ-K0_7l4VR~Kleh$|$k8aE*ytSTs?+PP}2(wNLN1MYul5Dp@k zf2is6U8}MIb0>Mb;C1`0ga&(LVk5{;#`|D1{N{8GQXluieL;cC#WqV%|;>RY-svZy2RiQfTNV=OjhGus)q$7JaF+#g%)vl3f%0 zK-M1TQ5~GB#geA>07UaF3OUk2iAS(95q~THXFC8DrAutWcJ-R9s#8jvQJ0KfSM|JA zs_%w(BZPlc@T7n}?N&ojQ6l#)qHxwheTOL3&YnnqdffIYi2zSiG#ozAIYnQ*9(w)D z%_yfx@_^U1jI$9P-Q6TSy(y9z8PlOGF_YayWkazr-5!ta?L}rmPFVUY)HAJ5u@j{_ z4S<#VY?*Tts1iaw3l#=VO2mcvsOog4ssfGUDb9-W3v=F4)q5D6m|NlS9Wk$Nl^TTy zm>F{-|3QCof&I!8%7~`oJ&k==Md@(CB$lqZvn!$N(Qaq>9NmmzAGze&Ca4_8;P-7_ zcWgg-Zkjq^zAm(o+n1@b6kDESMAu!WjD!C`VCfNWhrnHx_phF5b-QubqaF*@htNXT z8T%qipt{wXC$~WaHd(_n>M3gp^vT?b(8~1I2N5xxU`d6_5TQMs(`VhmrbpZiArnE0 z+Y7|DC_L{B^U9u&YOh*mj3TqCTg|>%5xp$zedQ~v6&LkUkgm~SUG#yxwGMNdjl|tr zpmXg~{sHr?%7_>NQ=?EJE@I*Qj+AcIB!b|U90PzSv3lXsk|jf)W4h|V(#egD5gf&m zO~(W_B9-<56BUPj3YIR3$T0fX)oLac%J{Fy+HC4)NXsnc*hAT3g^6iy51Skh4keVk zoGV{1oK_~JRb#t~K{eBvP_~WJ=DX)d2rcBb1EDSv^3%pNMkYsK()q1`)iT+7D|MNt ziS?YDNmYfj#@tVOqhDKX7MZc)Wtc4vnbAS3y!)@#??d!eiIOxd5qXo1WnUgC%?ugPbdP#tlVH*AJaOa#_N#i3dgA}%2uxh z(}a+O_dLT3YgE+RF;U40XNus;Hxqp1zDRx?=kC^6*lF^qU6SPK6a@{l@__pB__@Rz zZu(EJ=_~X*!cmQY?9dBMmvQ2IL5AlhN6Zb56Zp&Imaj~r?*r{NQ>y|y@fvkT^qjj1 z7v~ciLeEMB(xPyBO{j>ko2B;VJ)NkRpZh9#OCW=(P?aDSly6U~zZ>04py9;KEXWFY zZYy;dIBm7x7wiv4tjuK|Yd4$4_{yFVC@8xZSo*yz3;~U526XGa8KI>ODw~dfDic}( zV6cuNxi~K>e|Tm|^H3Bn_zh`DkXWjWR8SF3RiAo29xG%G%G4I*WZvIhp4qZzYtwu) zr9u8lZN)8N)A?k2n^3jNbWC2hiiH< zIFt@%TJzx_{mKQoqSX56o1OqNj`b~)8X&oYPs2{vB&<%8v#PY$Fl$MLC#|XHj_#!b zA^>ukX$GQPoi_Z)^V5);_wgHjUmj5O~cGSN1#4HL1XWSln2CW;;@ zFsUc;@>~U)r#gYK+_I^>5LcwrOXGrypW!u2Uw@$5n0dJVP3cY{3jKJ&ITI3FO7(e@ z9&KVVya9w4UU^ffOt*5EUU(+gA(5)&JQ20)X^HwHb4SU^8oc`qWmFI)VJa*Fe>dfqpT*~T{ zNW0NTjYW2Z>DF@5GOLzP@=fjDv9T1XM6-OO6yJ@X9p@EOTMgAUo!bq|;~935&O<9D zC4@ai3C2+Ow>w@7$zu1tB^mg=R^vSP=J&J;95&b$a_TsrlASBKDaUjPSDed}T2Ni_ z$DV1F?wkP}Yc?2f=GWcnH%;!i0Vlffxz+^~*nrX*kCs>*vy1X3`A{uy9!N^4oZb8? zEBEM4E5uIYWkhIWYv0`~oyN!S4!U;D&%2Y}`+l+gGN|4@)}tXtjC2r77{e_Jmo;-r zCZP;Y?D$l<<~?8oJ_?LPs>SLvDmjP@f75NNUY3lf+z9oqzrP3wxv*TR#GGp#FkJgs z&m__1&NIFd(6v{4+~0jfS>`~?-fGKV?JsZiiVVHA-*}s{Vz?4TBE^(wXB7g{L&(OAgbL8^(^En>pF;lVXzYUyY3=EZ5soUNgc3Hh5 zc_gyWf^2!;???DeIV8fWlyRy`iF~+;*Frb6I^8IeRS_)|p$7~>g-j|AH=$gmkL#zH z7MRO%romsc`JI|wBgeUGql;A2HAfAgN%{h1n`=$J9{VHP^EW2e2Bc|6S%@ZTf@Fwl zpMX1t>m~VA)$eWX)-`du2ynSE;F-9Ll)$?S6}hEft*&B*p|c-+a)(%u9%nVpv0_#E zh#oOXPu-bvHVJZ8MpXeq*dV}hIdX(GyQps8l|UgIiF6j zwF_*}WRH39+}VtWdON17!;rou;f+o|>fkO8&dy2m=1tSE^6xt0&$DOgwF1%Kcj)uB zVvRyDKI@0g3y+0{+nepq%Div3vry;EIm^biO-@oTTkaQUhtjLZEwH+HJwj4XY}esP z`!HXV|7iGhfxJ3$Hsz*t{l)uRME*7qj)1q-g$k07c6Gtt;6k{gQ)G_ADfz{M1C7ZwSMKLN zzZkCA=!?31ut{G4mF6nN6~w`$Hu0fjPJ;3o8&4O zo#heN0T#@e>Fopj7^b(f5A8ElC7!MteDmnV3E7U?J;!`%c8U<#5R>OBg$U1{wt)ZE zRd1%ydWO61Y+2S%*4g~ZLS~v?@M+)b<)GHv53>_!$51vYa2oHi89A|z5w|HF(jR18 zzd^W6HuT~^ARpQ!z}@5Hjrej86>IEK zFq%A|xKqqV#uEdh-c^<=3bBZ!7b1zvnpDtB%HOM`_Geu_`p&M++(PEglExqP0+OV7 z7OJB1Vfu(&z3B+pbTFIA5oDRXu9U;KH&OIVyG|*`!Ti;WZ@Xe^?J+;fanw88V-$Av zA7-p3X%F}YB?P(tBzI7pTMAd)1hDE@wHF$^VzMB-;AAy1F1_j#8E*TTou`;1%o=yG z0q&uQuZa_G#w5ZyvAVYgXCqgR(EIrs{Y2up_@-FZ=9fwqG&6?%Q3P;4!Q*qLLsklT zfk%%j)rlKg<%I7?@GJ@0akiCfz3_16r>%Ee6DcNzQ{}2l_p?U$VhJmEB*O5w$KIE8 zbUv2a9P6U>A(kB3AMzb-eiGco&!`T$DIB80jR%Qa(CY?#Ujop5h91e^VxK1HVi0x) zlWYg4((44)sXDHNDT_`&!&pU5K9`TqxWgOzh5l;0Chgd_r>R7RDXnuX*Ujb8MysC2 z0+C0>(xpFNWoiY{eYJsR?NQpwc;0BQTC_dg%(&QQpctO$YgshbudtbmwJ+8#d2%Mq z@_5)j)pL5m>M#V_e6stgBWG^G%&9aDd`kQLd4Zglk5yTwzyDTX){|@_+Io!DTJWRJ zmmIuI(sMECG~j@jB9nowGe-TVF8My0i^5}$>FAEDq<)D?#r8Tr>@Q?L=jaT2?9`!K zIvi*^XCyi~hMJ4zr~Ocav%?BPf_IK>LdASdU)(Dp*Bdv7l$D{r_pSI#o{VZeK;X$5 zXp|p7zN+4vFz~q(7hlevrJXYxJ4WrfBU+1`UuLoO8sjS%i`euh6534unxYtGchNOq zfw7YeUixUw+Co)2EW~0X(PKbVZ3sk(XFuSzm{DXmhP#N0u|&#pam<@x)f$8@o{ z^Pl0mj}>>{Gb85hv2~2h6X|x97C~2q>OdqzatH zJPQJB}$oVR8 z{lb;Q-d{G0ashv-cseO?-83);s<~p2KnW2E5iyX4FUnh-OOX@^#USkEOw~1ihrm85 za5;Kz6GaS&DmVFW zn+pnOo!b6b}9K4&fguun)?&~AKHJ!{!1CFWndtu z?h5z1G^(Snz;)@b9KscjLdgBPg&+|Uc487R5L^Nx4U!O-kOj%e%D_MfNw^do373^d zh{OH{rGxhHgrVWcODHV32nvfMAq|m{0YhX!U?froBq3%G0m({A*@GZRdod|&6T;43 z`fm_M7!Jkcpg_5ze6SI?)5eLB`GDwgFLK+T|g-FYQq_FP5WW^=m5Gk2o zP?vd-Q!&<2;1U-R`>Vy+8Rlv4igCe~Itq<&_3`*iWR7w{nt8%5X#-0`z>;8b@k?m1 zgxKHuTOctW*pjf(OhSiTLFw7V9?=+!2O$Kw{^Q-wXDScGUk;3{v(oGUE0~I7k{Hh0UO( z6c}VD0T%~JN=u1B?8WWGz*4`})1T-buJ)cjFbq<~0m~znD{O)O;tI(BdkzKu>5Y#g z@-jhK%0SpRYOt(1SXK@!Er%sn^uHe-1Su{p4Uv!riGgLY!$sQ84g|B4kpM}<;IdK( zu%sOrF8fb+{~y8wgF$~)1mutKprV%(;vdO`ivAzz{!QU;Gbomp-`cPrtrful~0FcpM9yoxk?92aV5qatu zXb^3ZQBd(x5a`=*;mts(Ov{$JcuedC$y$wRNaN zqO57-(gI)mTr4&R@onJ#+{)vc5`^v22$wb+_CLO8u91f zX8hKJ(khC*8S2vmy$|QnY(oljIP$eMb7S;FS$kHtIFp?f%NbRUaXz<4tG44Ct9qzB zHNNe{uPbHTIJJwFm>Q!`YFLo`UwIB#RH_HEkqs`Vscp1cdYFmDxzXlSNYS58+j4d5{ZthIwnHk zE830D63^Yp{qN{3QG1%u6#=CwgGJlK+Nr*R5N zO92J`Aua@veP4g|2``k&+SA43+q35f<@YZk=E042xvQ~&0AHSJ)gE%G_ zkTR9qLrgo3IdHm;^-VseymQGV61f5t?3Gi`w%S^Yc+R1~os6GhwuSIq41C;Pr%}-{ zjp7?{@|CxJ;UJ^Iw-`4JY^_lh&DoD{ez75uHR`_{V{g({s0Waz;g>fPDmt>((yreFK None: + """ + Adds a button to the component input + + :param nickname: the nickname of the button + :param indx: the index of the input parameter + :param X_param_coord: the x coordinate of the input parameter + :param Y_param_coord: the y coordinate of the input parameter + :param X_offset: the offset of the button from the input parameter + """ + param = ghenv.Component.Params.Input[indx] # noqa: F821 + if param.SourceCount == 0: + button = gh.Kernel.Special.GH_ButtonObject() + button.NickName = "" + button.Description = "" + button.CreateAttributes() + button.Attributes.Pivot = System.Drawing.PointF( + X_param_coord - (button.Attributes.Bounds.Width) - X_offset, + Y_param_coord - (button.Attributes.Bounds.Height / 2 - 0.1) + ) + button.Attributes.ExpireLayout() + gh.Instances.ActiveCanvas.Document.AddObject(button, False) + ghenv.Component.Params.Input[indx].AddSource(button) # noqa: F821 + +class DFExportResults(component): + def __init__(self): + super(DFExportResults, self).__init__() + ghenv.Component.ExpireSolution(True) # noqa: F821 + ghenv.Component.Attributes.PerformLayout() # noqa: F821 + params = getattr(ghenv.Component.Params, "Input") # noqa: F821 + for j in range(len(params)): + X_cord = params[j].Attributes.Pivot.X + Y_cord = params[j].Attributes.InputGrip.Y + if params[j].Name == "i_dump": + add_button(self, "", j, X_cord, Y_cord) + + def RunScript(self, i_dump: bool, i_export_dir: str, i_results): + if i_dump is None or i_export_dir is None or i_results is None: + return None + + i_results.dump_pickle(i_export_dir) + + return None diff --git a/src/gh/components/DF_export_results/icon.png b/src/gh/components/DF_export_results/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..43163e2ec01c78f9178cf273e6b3541afab8fb51 GIT binary patch literal 11600 zcmeHsXH-*Lw|3}F5TsWr0wM$w2)#;gp(7v&ge3Hu1PQ$t=^%pisx$==I8>1$f=H7p zy$DDzA|L{Cqo=&*jPH)|jd$Gde!t#iB-wkdXFqGsXU@4-)?N<`^fV~RS;zqZ0Hv0u zsuAv&>F0-(827#CBmWHmU_AFTF~=Ced^kN(9`;VINKTBeCz2D1b+QKlu+!aH7N`}e zbhXQxSZn+>m^9OXA4&bW0%Hjs`4iFFms`ck45$p*T*3vE%Q#31YLk2Urnjl5`s-Mu7BZcfGSjYAu_ znubn-BF9(DI|}(t`8JXZwe%PMn%@{!&QHI6+IssWzZRu(x!PCLHgvvMUA_FJw#ehd z$biobw7#@DC3OT>bA~ zwG8jXLGWesjN?~=xNbK-pkjNB4e%R&bd(oD?X~g7ZasdzH;dvO(jo4oTN>X&%fMj+ zl6)P}{$zzQ?khM#*S%u$$*HE-i9x=c2&*+of3GTeCRHV(?BO#e+9PATCsBUn0#DOW zx5}TU`%y`+rJ;o_3O?%G{E%jX5_pn+$B$Bc!UPShpSa_H2n1x6uim-q_WWp2T-ISX zpc$>S*OdfX*0f(SRA+bls&(2gHQHa>FEg|KzWPOb(jzkq@A~nEnY58a*`3z+RV_O~ zH|uHpAMob}^p%(9{>ZGCd>;Jml*9tyYSMkSPQ@oC&hL2rqWUrU+?_9BMolbS$5 z!7G$~W!wirbYG@hUX^B^8sDm`G&26m+noTJT^^seip-{KKZ;v3uLZx)zPz*_yy<-j zLI?NH=v!D875a)DV+zBZ3FdmvTJGDl^zL3wTI-S2i+|OSI>=Fz(@{M>Y9V~mww6^W zZX}(4-KBv}5Ifz!9PmQc{KXD%RJ zR49WCU?g54nuw~dw~2H=&)Qq{WnaJF+VXFK+cH$!K~#jV)`6Q3d0EKw2@N%X?B9H+ z^=!fvz&rDml@20ioxmXjX&pX~*`!J$cM)5XgipP7WD!13TD{fA=AVG6;z6^nSU;?Ciuv)t!*)cdN+o}vpJ)mlJ>d|<#}MjuCGfX|7eyZ;xELbH(v`JNEwwWgl*>Maqs(FeQb zVxt~2ky^oIAiX@Qps^X%BC{iPh`)g+gWmmT_84u?QEEvV1xaBCu9=zLHNvmm*oB3n zM8fYU@08V-jpEXV=r~;S@Xp^mpoC%txCDyxUmDl2x{KlaDv>K-UkrNyr>sBb(cY@& zDV)ORUgAQ7k{i?``YD~^JG&I0KPDGLF`~xKE1K`oHS)G9$kGE z5zzMm;BTS+_$)f^l`U=7j>ipq=FlV>*3HMRMuc(SrB-}X?ccBqlu>LV)VhosO@t+> z{SDqd8&NCNR0fbf>d6Vs7c6Mca4A#p;E3415i$LNbAvt6u?xW%{%P@%zQS-O9KB!y_6@qqolmMF$ zC3N!***)(PfO)RO@f>G%hUpoF_lT+JxzHi#rC-YfDgqb0_m!U$(~%9A2aqu4jVc0tdZ zO-o}$EqyypnGB9rH^1y2c83Z5pxzy-Ab``$8WiZ^e-%9%o-k)gc(+n)Uk{LdwfaQdeN&;a8N$$Qxoo zGQcs6axXS9-D(kdYVsWMvVFcPahT(ItG^zykl8=c<7X)U}k|YMy0M z(y#kFYZMb^VH}BgWtJs=L8dQPgc7tM8OF`f8JSXjP%|Q+4`|C9#&P z6G`gy+7UT?c24P_4yGPgO>aSNLjSsS!!Az%r#%gu0TFpoI6kJ;t#@~gfowl zX=|;U=yUosA$zZk?-lhSQNHb>q=Dv-lM22V;URwLdvbVO0Vhzh!q3@uDo`0{Ss_}81l^ed07 z>WrV7mMK~R`cbp`-97hwjdB1K)189Z%aL`ZUg-JKn}*8r-8O+r(;S0YH66eZVFhM2 zJFhkdH*Jdo|Lw536iK9xj$3$IM2I$_0@#c#^%SIP#@5Oq?RZN5ebmABd4i_K*mos6 zLf@d3k%>${iL;|Mi--6H8tHuYx_ljS?cBZ}*2DbuSSi1h?y)W^{HDjxsoJT*4>4TA zx7B&+2qoqA9d_et3h!et&XcQfmj4FTk_|&u#NBXhyRGS3 z`PFs$y3fP$1?Wmv?`|F%@XDjt&i9H-4U|{XS*34luf{SeIS3CC)Ni0-G%2lg45mJ* zg_@MmxB(tAMWQ2)ECMz}Ulukg34?$X=||FK`HvcqtWWMHbY+U4&D z2vN8cy6fkLgi&UycbOJZlQ_huz7H9|h$adK=X~gnmK)g7(tEc@+Bj!1Jc4;45u%_W zYn>56iWkc2d7Yz?WG8YOb7<;%br!B?+muD$ySR7rd0lq>Y%jg&*Me1&vS>E-l2jOf z6VzM7F(wP5cGOn@67n^zpp1pEvby83^pBJ;Rq80%;%v> z!{hIbi-32;4wwb{k-+)x+qdK58@P9M3P7T(I2P~wiu zug^03zj0o#_v6;u$C^7Pv4i|TGI!c-*Hd^JCa)7Qi;my7JHt3due~`Vi`KNNbTlIs zNO|oO;(KTx^;Am+Ph#<&5Fd4G$BK5-Zq3<~hAGSAJo*%o)A+_W;ydNVfYIGY<_TRp zpJS-JFl2+<7ueFw+Gfu}bt<{nt7)A*x@mXuE4MYP^Fxm2FfOj;O#Y>785m|D8eoU=&q-pN}>#nw7;sP%{om6|5_Zcr6i^LVmM zN#;Bw_6Hbh*mK$qWQiL^N;!}!!trh=ky)FxQ@U)XnC5ibm<})Q7nMuAPT`PZe-WZM zQ$7ID!xjt1rr56#2jgvqYUyDC3*)9k}E79&2*thGYhc-IwEOu1mY}D?>~hD>@`qnho5N0uSHO5t1`khRFvGa6KlUYE^>E)K%Vh(emp|@kGi{{}ML-4R)i##s{a))5#Xsz8Vk;^`%*$-bhLo>RB@diw>^N#hT^Im0|+#?n8G0@r3+&wf!q$lx_7h zP3s4B^!W-LNi!D%=iZHuf`lDFS`f5(HItG1Qw4F+n$r1nqSDFyY3#T)ZQ9|+5l?%p z-?9SX{o|S{`lZB?1B8^;WA8J+>83V!Z%*Tt8Vlwheoc8A)ik+wy#8~!l8`d;JJgI^ zOVMM!Vq7u;%UTbQho4wcqZb_~hYiu{Jti{rxxi)OGGdD@9p7z3LZ))o(yqTWb(YBsxn*^WkUX^(xis}KMcY&^dxCF{om)-)(Hr>kL|vIi zx#i9xB~cDHPIA@wVxA`$#c*Efzx73M)wL0ES4CoUp@!W)%-j;1C(bYIyYpR&1Sq_k@i=x)(nB?5IUl3UQ0sUZ|hxd`C6l4z<0B;>{xuC(YkrD{ugCnv$I!`SRe4XNCIT^D;u-la-)z5A7(t(`T_T zdAn!7=3}J;Y=f>rH*Ee;SWD~svU(tb)I#GrGdJIqmheX6)t zo_agWm1LvmOg?*bJvK)GJG+-4aiSbMSRd|I2H)*xee?b|B4{+FH<>K(nd?{-*`nAk z14vR^H=Jd7i$LK8HMCWLHbCF6uf&P`C1`)~!!h@5?S7|z#!`~7W&(V*oVuoyS4HXk z_&`U_$X;ta4Po0+pV*bKbt-g2v0!J{2Pc4;-O|Oz_r^IuL9{R-Y2T;g7Mphi<~x*_ zuiQ_gn{#_K(=1JThZ{MI+YEQ1i?R^eH%7|=oL49Z$?6%O4c;2f0F`$vIK6*NtIvAy zobUmgE&Idc*VGB!p_2)37qTkImJPa$=!YtkuQbejU8S%to|}Upu=uk1^}^DopUtG{ zFVA1eFMgaM?mAbyehxdypCF!UyF$I3frp%_LjeVBV`@<^K!DmmIlK&V~JjSg=!dU~ooYT`apt z13h_XX^j8m_UrIatN=Gw;q?dGrJ1^LxvBWu`ze+J46YEc3nJ!@Pu`}BiFtd{w$cY6 zlu25#KOUIk(pD8C`tX#d{Ry#W(FNa?c*86MKf=JuqT)21yr zUxEw8@2ndd&{&0|*kUF$@H7rD7~bSw?|fty;c2-UNt>Sct{aAg>g*U(Ps&m%3`36s^6UP?S%910gTkg0SN^T65 zJeejeS1>`MZ`g>LM56HLy1OE;I>bzxEXog;K6!FWvo_7p!}2~JN2uXSTyDO;i$pmf z<@6O8aepGQ08LQ%L}b#DT8AD#9@@R)@_dDG;+BPM&!kAdNuEK^UZM3gSaLSBx?PSg zFmu>H*)NP)6X?2uG^#Y*%{8v0eLb7e#^LLuOMOZ_9~oZV=g(x0HL8CS8=vwV|AuHM zJ!P%+tJ_0)HXL893)IEF%xzU|#eVQ^l_2Ime*45!+-QB0WGUl%Qh^9DAfaqLOvkGH znLuGolq$25v@t%Gue6$T5qbUWfwu5ViiRG5>W@X`qsgb4uSNCs5*egfer)0=UHwG6 zHOU{8tJ{K3t{?w#DBdwNZFmfb(0jw~h$On8wq3<|lq)otw9Ssp_37{^=3btr@6rct zP7i*>kj+>3MsR6$jp-s0fflw33g02?J9+yI$$I@25+CPSrKUy?KCtOBICPL*U{q2CgJ>&<9(`k-&V6mF%b9H1v>KTP!CdXsR=`P-)T7wuwQ>U`oF zYRgI(!@*+SZJpHhzk&iBK+!3z&Htn&Jzgxg#6&YCwfEU%jh+7qQ#5& zHUW~abNF+W?h9F;r2+w>W0g->7Z<6SfJVnzJuNNMXU87U+F->9WmFZUYFiTkxC(K? zZOoWMb!FflZo)8xhaFNF>*k5uxB&p<6tSK#xC;`)X@_)ha+l}cYkAGh>4cEyHWP<} zpq?s7M<-1`6w=sF&jjx00+&W`D=Lu7VP$XxZb%G_6YJ*cj+Vj7bN}L%!5#l>7UAan z1;Mz;bDKjAI8{7QNKS|_L>L5A!#dp;lLjR(7NB^M$P7e_*%u@s`3=(m36Z!iUXpGu@9LXOB{kK=3O>p~L zB1TBGhc^n2RJ)IK$MF1}LPHB`@E5~RmmHkjJbyWb6Yn2`A>e=EJiSq_zc2{62+|el zh9gDe>;wM;k8!g9mstO>?Pt#~cm8e&Zn(er|AGF~_g`Qf3JR4`^?-Z-98^nHp8Kc0 zG6)a26GGQ6NMDh5*7~AbX&+Jy={+N)myvgCYM$rR9#sz}(@; zpHw(E+Hljl!V|S3PDOq0;NG<1W+1@fFmVg_7I4)1gMgw4NqZnfOi~gkWrq|6+KWj_f$YVl;Se#OsI|)N!0JT-R3WBh1|aiMxONk+6TZJN-AwAdP@Yfj|ftPzo0_AOsgopdDNS4wQh4N<%*Z(uQ$p5tzM!Mtvzxv=7y3Vee z`?y6iv7L^F>aXQ8;8dk07NibSaHIj7-N=jay1Mzj- zqYy$uE!Ep5nmzSt_Z-uaOg+Jq7ji>qt@&sBa~aw1lQxD061KzXgOt?mNXBoIXcN)M z8W@p=^@fvQ>0AeeaTkickI~XHib=Ehc;#(+*2b0k4LGyV zF9{&&zIV*)X%>=6%PE$s6kRwG9z~v4X3~)z-_PsqPCo2Hx+u-y6;Fc)ycD3?o|Z|M zIlS+_Z8AGq6T#>LZF-lO@F4x3Jenki&%yXvc@@w&oF`$*K-S4Z*9tB!9&`jN_|8EG z@+#)w6szK7x@FH7f!vy?a5khSF;(>PkPq3X1WGE%S!8%joo!^dMDwTDt;QDc3EzUz zU5(3{^4~`{4E+cn&yf?ZlOK;aKEV&vxckmJYkt@90sUZ;DPOkb(PYS@C(xr1LmGYH zTb7*jTs)GN>GcbwSaG-qNStGJCaL{9!?VJXkO=zZWD1uI{dZAEhh7(v5pb>eh|9WO zu*nFw-sMh6UiF<(|22Xjxfh|q-?^?uMk)}hzu>^qfQW^#RYs%3nyrQR@MsJSF9fU_ z+|IVqoS%j~k5>GYi#z*dU@-cz8@AR~Wig?j^-kKw(p7KR9A~hErSeB|vb<{AkJEQ( z%_K)av|UHwUgGheg&sOnD+%CHy#*w8d&e`rq{BCh3ym8u!|kyiJIo$rSj7wSuOZ8?QyFK72{}ggFe1iZe}zW|}fj!CgLz*!6*0nvJs( zF3VnVBg5L9r)vJ8-VK0?_re{32_>p1zpbWoOMYS%IE55P4A&!x9OjtV3cXUr-%2{l zZdLRdvRk5CpmQ2}w$3eFY+d#N%R!qz?_zx(K?zUc zyyl@lU9~v;Tp)+M`=EO9?eQG>Fmu5p|C<0&#Yn2%x^GosK6u_D`g^BX@4P`38=jOd zQZC)GW!{d;TgzsN3&+nEoR}X}YMM)WpWp2czLM((teCm`K9HO!Z&e}cEST<;F_JnC VczaPQ;O8AgOHEI;O4&B-zW}(F#w7p% literal 0 HcmV?d00001 diff --git a/src/gh/components/DF_export_results/metadata.json b/src/gh/components/DF_export_results/metadata.json new file mode 100644 index 00000000..15978295 --- /dev/null +++ b/src/gh/components/DF_export_results/metadata.json @@ -0,0 +1,55 @@ +{ + "name": "DFExportResults", + "nickname": "DFExportResults", + "category": "diffCheck", + "subcategory": "Results", + "description": "It saves the computed DF results in a file .diffCheck to be exported later. This is done by pickling/serializing the DFVizResults object.", + "exposure": 4, + "instanceGuid": "fbc0c1be-1485-4167-98f4-9c6106852a90", + "ghpython": { + "hideOutput": true, + "hideInput": true, + "isAdvancedMode": true, + "marshalOutGuids": true, + "iconDisplay": 2, + "inputParameters": [ + { + "name": "i_dump", + "nickname": "i_dump", + "description": "Save it!", + "optional": false, + "allowTreeAccess": true, + "showTypeHints": true, + "scriptParamAccess": "item", + "wireDisplay": "default", + "sourceCount": 0, + "typeHintID": "bool" + }, + { + "name": "i_export_dir", + "nickname": "i_export_dir", + "description": "The directory where the .diffCheck file will be saved.", + "optional": true, + "allowTreeAccess": true, + "showTypeHints": true, + "scriptParamAccess": "item", + "wireDisplay": "default", + "sourceCount": 0, + "typeHintID": "str" + }, + { + "name": "i_results", + "nickname": "i_results", + "description": "The DFVizResults object to be saved.", + "optional": false, + "allowTreeAccess": true, + "showTypeHints": true, + "scriptParamAccess": "item", + "wireDisplay": "default", + "sourceCount": 0, + "typeHintID": "ghdoc" + } + ], + "outputParameters": [] + } +} \ No newline at end of file diff --git a/src/gh/components/DF_import_results/code.py b/src/gh/components/DF_import_results/code.py new file mode 100644 index 00000000..3508e81a --- /dev/null +++ b/src/gh/components/DF_import_results/code.py @@ -0,0 +1,15 @@ +#! python3 + +from ghpythonlib.componentbase import executingcomponent as component + +from diffCheck.df_error_estimation import DFVizResults + + +class DFImportResults(component): + def RunScript(self, i_import_path: str): + if i_import_path is None: + return None + + o_results = DFVizResults.load_pickle(i_import_path) + + return o_results diff --git a/src/gh/components/DF_import_results/icon.png b/src/gh/components/DF_import_results/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..e6a315a988cee25f7770b15153a508e990c7946b GIT binary patch literal 11459 zcmeHsXH-*Lw>G`^-joQ^2_z68^j@Wl^cF~fPy&Qd1nEi#>C!=vDoyFVh!hp1iqaJj zMCpP^ksCebJ!gD(jBmW--uM1G8Dl4Ful4L_&H2nZ*UH{I)=*!Ql8lWE2M32zTT9It z`^)n4AR)qjulUQK;NUO^1)7*+jA8x&FSMr<(j5W7-1b5M5CKRh9Grl;(j2o?p_WYb zOK{v(yiQgsceU3=(aUc5)swz)$xAmsFOm} z=@38aUtn_fgk&sT z&sUWd5$k8!XNR9Z&bq5#N?$*xTRXov8JbPJ5jysQ@`Bnd>FDs)<#`}fq=)f>F8D&$ zdB$fqyJHhfzjfYLS!dPu8jA8FwP|O|%=CC~_km&k2P8!Bmb}0{MER9--Pt@on<4cU zYyY9`Gw32bcEWR&+@P~iVS(9=zxz9@?T-`hp$FsrWEt0A=N_}1f3sZZa&MSgczmn2 zlOsBCXoQ3F`>f)}<&YJQrU;+rkfAu=+jaI06bStu>4b#VLsHjv+#jdkj}+G>lKUR< zKUQZ8zp~4~-PV%~SWqLT(v|DJia`YHE5)>89KaY241Dz7+S7*TXCFAitFKoyVAzJK z#a4_D;?+;JHj;CB;L&C{u> zEG1R|2r_MHk z&j)S3Li850Jk)tR?agw?5A`<-d~QFSbci!|tM^?6?8?0&(jMidfIN%2SJefIin`EF zkK-qVd|qUG6x3=JsPnG7OCu5}2Dk6X>tb zhJLolxwIH+QeKZrsRy}2AxRBn!^UVufp>j3-I~Ul#&$vmRwgY|ZoCcv4C@OR`+%j> zN3PR>+s~p;&NvlwLNWH*9u3tyfu(_8@|x*nmNDFX+X`kAiKUkF&lYHq3^iN7z5!NUwb0J;iht$%*>}Zr%&|E9ZP0Z*XLpnjY+o}DJgI$ zQO7pC)`XI;#&Zb)B+YKY__vDmUu8h^jb9(w>n-jrvMi_yQ9%>fO{&t0bwcV?z+;%t zm2J(lN~b9c#mrpln5R}cQm|u)^EDy2J6F)uMdM}d-Yt%|<6k2_*p$B$S?1VLc6s)g zz449W9Rgw7QeaLdMPq)9YR$8YbadRM(^_2)6h_};a}z2tdF6T9+fEgsDD-=(<28lK z-7jH}A%UJ2{&2?HrV1QmmQV9U9=f??-nqE=^iC}6{p7&Z*{&*{21@`cYN7>t=% zvkGqA(G=0GaFcmw9?j09HvH*A268?!{8oxy++nq>p*Ub3;UHd$i53!OI4Q1KOnO6j z?%Q|_Vq?L<^$9wca*sMVuR`TIVuWx@Ky;T@DA;t5H(xsfC%ykrq1uxb^2w!$;0DzT zxrEipYZu@aWp7o%bVAEiqKfOC>DvO47G}dzqp>RO%3h9@8~nC8ZbUVn)D70Tw$M#F zy{WFQ*Vj%tImwBh@4R3|4(MDGg*~TMbZfWm8*{HNDb$a?Ean5dqN(l1yY`4oqggz( z;NFt$QbvByZtZS!6hH&n3Y|Ah()eQ&`H6AnP~kLD;uo9J60IBu*QgF#EzD&^qsw0O zxPZNC7G~VbQ{a`BMG+G7GvC9w85K&z`TVF))ujO1O6DuP1DWzl>2&rT%+>_WZ}OZY z!K3F446Yf`Aswi|9&?u0{V%F`s!T%Pb+ZZSktdZuvS-Ru4#$O7?niSiC3CnKM9-)9 zksI_L=PBXQ%$R?2)Dd|gTN81D^JzmhkSe+gMw?SK?!h@2^Y~_C$QsCpsFI(qwO?81 z@X2T1Mk5wts)?|?aa?3c4rB5}UnLnH@?q+PG(6${Lz6q^IBwY6U&b<;3_Y{g8M zejI8BV-WOWY5&4&r;WRsS?c$oT(a3CS!ZOyoYLhW>@hxZdS3q8#hXkL{DsXNt%U0; zedTz^DOQEDN7X;>%@46vh+}Gaud);1RPi+$T5>L^%T5y*uMNIQmR~02-U0Z{JAB!W zFs@=`s$@-xin&5L5;h#R3Z;*uHklvRubq2iD{aAD%^vjO*2usxC0u>m=>t_C@Wuli z4D>CJFsYAon7Sy}aCq4g{=Lqp22Le}dmRYXwDt6PvV!N7*6;2jm86nJ@ewVv&q~V5 zl-Vm6##e6R1uqhaO_dPn9Vo~*XPNDvUk@6|Krlk@j$>UeOg)}b7(Rehxf)Q3-XbBo;FroPvjw()-Kngifu%xD0_iHKAMp@|P zT2<8KhKnAY7s^c8qqxy5XOyRKgi@7XKO+N1vB{8|Yr;A@u&@kY-}RYDyWq!$uNJt`^hfXPAEl z6X=5!6hcxKQ5(Qlq;BiaxI=aQr3l?Dj#m*~poJ~H_KU0c9tfC~2bEq<6bY6-+(|St zff?3Q@kjG9yn1K5KWlZK*P%359SisXOg?->Xs2bw&B6nxc`$7X9Zk+6)Ct89R5Lt% zbmNdQ6hgDS!qJ&m`&DH(OzWN*fS>X=kGzerr}PF# zK=C)p_3uUAZSEa#SHOtHz@QwWiAkhVIkM-dVP1dzB;UiP$h#zXPxv=VxN+I{dR|u7 znGwlJaVJ*F)Kga29T1xO9^CxK^F2d+?tv0sY7#51`)C(rO( z44v-N5`7xUrm5(wLp-I%y_%1W>FVTPMof+lsYjA@zTo=;{V`cx5lkR^Qu`tKyODSG z!7YxrrGj_3>?&;y8WKap!|!h`k5R5{N1if(G*}r$G#3>*S_zm;TC!bY?8%^LI$7KHwCbze7Lj=!BYJ7uHkt&X z?$O|a>GUu?R&!r`XU22uzVV_Z)F|-|F?5uoR;~I5ewkb*WA}*T!c_5Tv)ZfZl$U`N z#Fh;B60k@ww!<}V^{M3dlQ^rj6dqT}1M6I4Tlz||d#)MJR~d0XOm1l!Go^}oEBVNW z&%hg34w^MhZA>>m+l1ZGAgMFm^MQ5Zb_Vg`iXMpI(;`G0A}S(HX|}Rk!@C)NFnsdh zb6kgbzSwkcWRQf(2vCzrWIYHsucDvgdMHtqXX%2TD2l&E4AZvzO(a; z;K>z@YiR;~%z$Uxw(02}Ob)9zOV|9b?ce|s8#x4FQoWp7NRd=V1@gN0vvFPZakL_Q zV~DN_QX;5=TS63KFdxlFrje0UJi{O5`$O=a&6bKPQ7gj~4J4@lQF@oUr;1pt{Xl=) zF>xW9Pg4R1FH%9SpLK^t)0DXDqwPd|5`RrYpS0mt#e>RvY%RS85}yt3(8h>^ zr0hPwdMdiNQFV@+@D?l~yjOcG<+U*%OZNOLd75mV=3qx$C8D9Iy2^Bt7%G#8P{XHI zrCc`%XbsmMl+!#PK?XG;R16hs=eEgC;8br&Vs4ZMr`-u#&aLDrVVKs8o-y9tWjS0` z#<{U>T6n~B2`*->igLX}_TbL&RL!9-dpS5yZ<^gcj7~Dp(~z8*%6_0uWOMvo(jHzF zKz7A_SYK+>!xjHiiO$&-val~-bIM;%Sa*b>pK2+SPXa0&R!(tj~+_?^fqH zyn+edw+^Z(cNP`DdWJlH&+On9Nd>c4-!O;*h-{O$qjJ;@?>8etYcRXL`xmKc<)MO%jEPq~Z?V+mj9&-%+DT+Pn&I57V@w zn6HqY9m!u|0$K9QxLkDW$oVK4p!C${7Z0?q(;sVgub>;0Xk^$RxLq+W!xCjB-M5)& z&7h5x-o(uU_w))%)KU`d#b&1rIq(wa%(MFBmcfdh2C|IXJVopX8=ReuEl#7pEtdG+ z{-SIB=HpfitYtG2C7){H{EU96hYHQR4|V;IctXAwz}qhzWhd$~+xJs0sjHX`*ik)F zHwISO?IefTdht*;c(`!VblJO~!DcsBXA+JgV`**kA@qq38byi8@vR3P=Lz<-_9YLm zT`^mq31n_{IMe=;f4@FvvveyDK$l9sR1tVz@X-?Trm{vQYul}K8a~ZrRblaB1HR{O z2>2eic~jWiJ944xyy-lX4aS8*=F}R8^ zDcADd0y!_)@Ef7~E){EEzzghM_eNj%OU3m{a+!I*(6hYq;=!9p5%rwL3c_C5&Fl#! zLkR_K?Z_%CU!R+XQ6IVcawsPOkB+CC)vAICAS9Fo-GW`u6t@}RHaILLA~eL43dBd8s?_5 zuqX7-tKya$tv@k?j0qq6Dw?^I7Xu6drp2VXHl8JG%`pZnUuvA zP2W^p7hM&;H-nY#>gR19&ya;bw5rz=G3trYiWFx=&nSJ=KMp%$l+lh`9;NnktxbO8 z>=dr%He)7wWnq&*&M0S;VBS@w2#KH7od)6cW0i<33@-8)b|~M z_-jwHK9mLQ*v{zMG;|EysLuB9n!RJJUc1;Gm1riKZD`AZlI?N|tbt6&h0e$BMM`S& zeM>No>PnE5-F-_r7Zq`dQbqL*&5@`}5Gm^p>Y`o!v)vvUQ-;{;$Dpb4qt+u7>0xKa z9cdp2jkpF*I&UsCAI7Gi2?L^+|Wms9^xU7wmyv`!o5}`kU?ut zjPs~uE=MwKe;Gn2K>QlYHa+9S31MA~GU`wsb3$kH&W$M7SF^<5GmbpR!&8;*%#uv^ z-eTb}G!)Dr!o`f=a9I-ujkT7<58{ynocps+CzW}t*K()m_A*@@;fq1NKS5oUjt&Mwi94>tjWh2c6p=xRuy)B;VMdzh2H|SxD#AIX$J( zUEfajQRFH^Y7E=%O@-hKIT2TcrE$+M3 z7n4rUj8VOxnNvKJG{5P)v~_}RrOJg>PP3KU2s9*F^oAUZAv5kMjqY+xT{o}YHNSBjyCWP(# zOb9zhP2yXWl4M~4_5SW-P8F%UCzewV!;oPTsdwH@-ya^E+dd~Y*}j4tZX7No9PJws zG-mVIHNU#08!5paR_eEdk=?T5dA!*5g1_2u+ilLB>CM-jC@-Gi;0@f7Q;5>}klmEn zW#6~30N1~Ta#6J+-M!fBMH_5Nx!$C(D?4_Z!=d&uTPd(@EtIsiRf1uHG!F|+K z*%Z<}%Wz%ma&l4&E)fG|N>QTYf}1=E7ZX-P&T4^EiVw4*Lwoo6MtIWP@Dn%=E0pf7o%CI< z_1Yc43%(Fnf zC43S8upfLjV%Iefrs&8BS1uB|1&F^c;w?T#E$3`NgK@;BAD6PPtkAFkjgNDNIy&ag zjy?4nLKW|-plczuU$k&=s3Az~dl7RzT^UDD4-pvL(*Yq8;NgXRZ-Rp(rx@S`b96&s z01gOeBubuZx1)y(fP~9)nMvq@^t@CNE=a9FG~#BUzKLU?o1-+GOHqMLEp37X%5TNRbMgSlp5D^eiJpkz^#-%_8kVC_r zWQ^4`ey6~m$#c12FkUjEqW=E=BL3nco@i%Lu(Y(aC`e3HObm!c0DW$wFt7k1%7^l@(hGz1L;-$s!W=w(G4fno*m1xg_IY^e>HSHM^7&l_tRA8PFfUQC2uRe! zL-em#_+Zriuq3}5^xt0LV}gCXBx;QC@$^MIBGmm5C=B;sDKxe94F6>K>5?Wg8Qk$toR=@!{TBxAD2i}Lcwk9=u=aufhQ}bC{w3DmZ2LL#%bmX(f}QS9{=cFB z@ckDUi_+7RQS)^4{W+<&nmpG}du8CBj!3x7uckCa3haP@Lx2uWa4{f65(WptU?3-; zv=dlD3@QbOJHQZsq0&bAU|=Xm#7`?CIL?O$EL)znRd_ityv zow_4`6%zpPt1M(-j=#C!1M@?`f7yxU`fbS31%`4)VAqe|6ZVgO>4fozp%Kc?SRJuiVH5P1RsjCrV<_-< zyuSLFvvtqTt-|%1}x1b`k!|X4s(J@fIwg%2#f#$A&wvrP+D3HhHXJX zVp0%<1RMhWySe`p_n<&Ah>4h(jJTML80i1PJuxRo2Wbbe6i^Hy0RciB5KcfS2wTr$ z4h~{)N9?jKE&1DO@MmuP58MNTfqzN(KircO{kh)%k*ji||4%mm2KdVcfsOiaeb|i$ zyN`+fxsm;z4p>|Nlb_$K=s!6H0PxQw|CYZ0$n}q0|CR#(7Wkj+`bVyROM!n2{7-iM zugOLBuUlaR3j6=nAA6(w2{&aHdy`D$a6?n=*X=USch!ziY>U)O%fbf-hn()`fjhYv za*pjJ#%SxQ6K|4JQeNlHQUk{0;NYKVt0|jk4b@~?xij2i846v_78mcB>Qd==iLw#_ zLK>O$w2~cS6zsLG(-PiRq6E|G_7?GG@ptw{#!e`GNE>9i)2l{k*SY_pbbutvgsvFb zi-)dc5U#;|Ld@^@IVVwjJfW;E0w20T+hwU=Kn>o*V%<5TWivAa37hH~5!ny#S4AEfJVhdX_w%9%0B608ZYssMn8} zA%1gD7T2JwC+|mdOWWy1&UbvXJvnNrZ7!~26Ovh9BUfRx2Ou{*E->;W;)KXC1n?wi zBRzQU%UsBr<7JmGMZs-&b_Ts@T3_?FcO-qh%xN_q38ThxVuTXu;9;3Z9c)qIt+q z<(&P%{6$>5L0B{&ZUUpG6Rp=E+0p>CbkRnM~wS(W=Fo?VH5++bw!)P-BeiX{W2@w`X*OQH11=U|Rq zJG}vIRaid*Zo00#-qcI#&?@ek$M}v?HXQ+{-^Y$k?O6I-8Oz`q^cBgpU`;KL#Uam^ zk`4Bw`gDmK-X-=ty;Q`TpiLS;UwS@A<(*Q3^pHz$#|b~oh;i{yK8y=*Zz zt$MCp);f)bAG{no_GM2iL}`&-n%$SUNT(rX<)IZf4Xdo}nChQCjtd2cd3-t1L#{#i_I6DBqZ?ZVU-h*4p zC-MT#XioUrjM_QEC-2Lqlzfs4Uy-laL2y^vG?$_F(}S=Ok%mv?C(S~c79csBH{;t!t7jsYPsLC4rmSMM z53PTG+cu4!)eO|$2_|J0l6!j>ew=qP7|~C;b-v6P%zI;MU`x~n!T}749X>KatEg$k zhsdlwDi4(N2nm@z&8b+Ei;9>F%W4a`IPhN@ntSD;bTQ1=ed50ya<{d4*LdGz|KK9a z=u?YbWkL6?(!JG!*21TxY~m7WvQ4b%=`IT)i&wq`i?<3I$=r;@mRt|i8O!23=~k(? z^zHuk^KR1z`og&`<{N%;K@B>ix`BJ5{2_XCTgQsjCZ*i|vo+oGZDWgD-C|OGXEi;1 zBHj73cc9%C=ilppl(oi z3cMuD(`H)qkOSjk&?1{rf5n&P;KN?cf`5D5t)fIF4skD*4>1ruIUZxj(vn15&6_33 zj*exkiD+%f)nwwBmI!*J2G1jXM_lokE*c3R(|2;I6`v!_dt&ZdJThv&9cZ`Oo9*jM zy%uy#r^@yrPP(VGFkbd%E{lDJf4Z4{X3!5trsJ2p0?#Y!PJA-;C-0PG`%ZY*&(IY6 zgh_rcO3{%#s2Og1b*Qn)K6e3h+Dd_kh!$V^=sW6Hm-@m$qC-Q!U;VN8VAA)3E4l;L zlCMTO*U}`v^or@2aDU=V@u4a1cYFHIW_RUcrkAC7i`{PP z)9W*klNJo-)@98sP%1VM^t#pQs5bWN`LWCS$s5^n@jj0eFTTU7M_;(PimfM~6}np3 z%E{EG3Eb}S9Bk;sW?h0-PIptth;yPPVS4MHD@xY(njA2_sl za~WEiL!w__d~n+fVK>#E63T0~zIk1$q~cwlxK*b{^QRG~sr#IDn9s(9{^nt=w&b4v zR`SA4kFS5?j)8ZkX-r42#wEqD@9n1t3ZVAu-cOc-5@fD#gFsod{XVH5s^a}#+v`ub zB&f{joqgsWL_ia}Dle}SXCNR>-C0?P<=SC&Zlxh#;$0*toHcxITpbH6|w%R9EJJ3rhyiQLB zr{l3qB3CYeRg^VWxE2(2QSFih9j~2CdVEa|Wu?H9CdL)i+)hu}^s%1cuU z7?)8%RCxP*)T?^JAyCxIMZ+b%FP(HGF>^;sU!P5Nx=1-l3cq3{bD`WL`M@6GGiBai zj(OCM9alBdpC)|cJ@Y)E-Qo$&gji3}w~U_equi$D$bhUptV3Wj`ija;U6u}>Hzn?< z8?TpMh6^&8nJz;T9&25uue2;h#V-wikKE9M^&GO#zjyNQjwDJgC3`5c%5USWkWi#Z zN!GVm9%OaqVX@DFMXT4%bML`g(z4o*D7crj|IawAMLl`6=JCr+%yp-W2aC zy29nryoyG?Wr+~w?DR}nYl4ke?i-Qm`|<05bmzSu^>8}dl-o0@OsO(wJGy+%fD6gw z4bAD+?M6M;pd(`Ll)?vn>fu+1f)HG&X+U1V+@Wq&bIgo?1yC>)drjj~(*UVb ziKu*U=dwpL>&c5EIN3p$LLOX1Rqb%_CGAzUX61FxSirC;YrujtLO$V#lN)-|?_QB7@s&%WI7XwYpZ*Wb{GKEo>53ELKwE{T%W(J zDJJhuCAI&iF0nB1?y{K-a%L|e%KozyiFBFHo)*E`8F1)8;zQ7hVB7ggW6NcL zgi?U%a_U{o(ZrKLSU}{Mhr;fs!$5LAQZnOSsiKzpgWFX0)UPaiM|&6?h`O$j%L7w{ z$=O5SN^k>;>>6-diLnY`Eh$8q`LZDK02O_rr_0)}y5z}H zrgt2{XlLrdqMU;3nFOiyRxgQ}7`|w!m{6%WK2pm|x$~GMc#JMcCEmUDllr~2jzDXEi@9$Lw0M-?y=m@YDJx@49pL0IaQy) zRL2Lc7_Wuszsx>r7I9WBQ&791KbNtgL8M8iH1vLGR%-pE*7a*{)v3XCJ(6#$h{d@2 z1PT@5gsjHOH1XEN04Iw(v5-P?B5d=I%R%%ipfMK|8P)O;=>A7RL%ao!J;t zHBJ{S`1o8vdYYoUO2l0EiT6$x={t=PR|z3yB3r*3EtE^?@}7n>y&5ABF8EoR1f zj9qc=rw~SH~*NJLMe)QL#Pz`*A-W^8Twvy0i~h&H+zr+x9XPG?_2oOma__fOf`N`Lvf^EecGr0C zX_={+FIU1gbrX+(Ir(*$-*fhHDX6BKtabN)y`N7-K+0|N;ek@Z+qW?@DB}qshp!*) zMifNyQUwE;RuuW|ZIZ$m&n(mPKby49%LREA2Nu2aRA8lUkF;`;4^q)-J(UmR>BI4> zN9EAp=yJ)?7j6@f1O1GQo>Mn9GQ+1z zxvimopBCw%3DAt64(ya1ALan?nAofEcY-~caw%C9+CeF3y5uZkcFsP&Y*3-*tC)2* z6`rN&m(|CxjH#yu9DWown$$(!mixZ($JVMhVBb0(zAZ|{(P^;lL{H}k1el4}XHXHxBW$&uQJ7UFKD{^}@zP$7d!<+d=?GkU+4CQKb&YDtE-x@vq5wE6; zeUdCF|57G6}D7}2Ijm~=rkzJ$NH=ADx%nm{->C8G#etr(;rBWP2b_ z!;!DtI1gPYW`o`Fig^5Sd-iUuerc79cf?cOcb4g=hGQ|N$@QB<=OCnpD3OR5$#84b zvw)!i6$VR3=%S-&vj5ck$dDEOZk9(wMkAJ#W}#2PN6fLb6Z_nX>9D-yFV&f^46j7R zG>7_?X)AKZSluUS8NTso;Q|IztMZ?pv;BDTh=BWBJ69q21B@0iyHq_dZhX@F%vYrl zBCrP)04aax7+~O?<}Xiw2YtP6^nd7Gjj;b=OSsrZ<<*T?qt7>ZKKZhv^KnFUYmW|#b|-NPNHnh%CW zys~P;=p5IE+sf7~9f@&Gou$DA=wmPW5W;r)S~cQZmUH>b_!1u>caMTcGL8{cG$J4m67?pFXhUvkL97jJyXU!|lp}J|EFMdw|wLS-4N6>PvBs*Vwr;sBx&FgOvF@ z{;Q6naglODNtXoHSe%ci_WgLiW!{QPWOa2x+VlPxkQjWozi@*8?)4qKcZis(O;~dc zY^;kkA0g7rH2BUbP#arsK0DnPw$I8)F%7r`j+usqA(1CQAd-%)EGVO+qACvrBQ)hitg;}Yt9r!OWxE;X>< zz5iu|Jug}RY0JPwzwm=vYspap!pH4&905SDh|BOW=xyaHE0WVihJAx)iVA~#`m)s3 zE0I2&mRWXyyUv-<#q`6)NYPg7TOos6o8Rv!?djitSuGonzs8Y?}%(u;JzfA%Dt%c z>_@JjgJ>AEzqua^Y=}THc>g&lLs zUYDlI)m=E4%dKVx%=^i$$Aa{vYARa|WL%zfNWpZnI^c#*O7GzVs4m^GSE@_4`_z4d z;kOvHW1e-t9jUx_)jU3)eNFlbyhqBhM?POt=M4J+Lbakh+~wq6cE{T5N%0aPQ@XQy ziDbt0z8`f#e&WiJ<^YvLYz1CGrKF~$fg^`8wUOHrIg$h_;E_3K>5iAJv$vqKYc zt4=`lCzZ3{DD%92Wd~d#MVWYw8f@(yyhZh9DAPA~i|#M^Sv6^?H&w_yoRnfHG{a(0 zbH=Tbp3msEO~2}@wB)-q!3+&7M;6i=zD{Sjeh(Fs%y-qvfNq3BH5)k?kGn&{9>SF zy!SzvSYeOi&W_(N1Dk13IF~*O+boqdYK+~ULTK%yn#xr zme=DWBjOxKj)|DGEpD96kNWK{hPIBSGAY$81#xdGlugKR#uR^!GPf6Ql` zX7M5cnC3n~K2OS>CXx=V&#Fdbt#$p+r;tBO4^Vb6>#6(C$9D#M=LfnBS7y9p)o(IQ zMc$D&@ndeuq-K78O?HcVH%+{v$LU%C|Hq^28>`8j9fiaI$Eono7c<7))ZTs7H9-+$ zd2Zkv(eg8+o3sNLbW<}ayr55Wx_$N`cD;h-zLy;mJ%pnrcgmMyH40) zp=g~MsOue~tV%(fp>kJm!L4#) z8tAjnXXLnGKfhc*GW<+iYFdjN-L@jgO}nP{>9*WX7t@=u>YAn4@Av$?6}GH(kJrOo zWsc$HuC`=6uk}jTeWN#kRYe5PUa@M<$<#HPKHEaljpzGhMLgM3-*h|8m=)vQd~@s; z-d4bLifc7|#ya#8TSjmW4x^$MO(+ zzJ^lr;v#UH}bzR68EO<@e`;|M& zdhi}*4`IQqdWq+0tWGm2ZD7-ZbWzI^co-2=k}?G+=5y6O3L$0Om^vis>0U!r$oTh? z_dF?1m*Uv=N);oQk2@~reck#NF}+BNu6tX|Q|DKS37h3#xlYY>*Ud;1oPKIg8$C3+ z*51pveo)6GNk~$6FLtwzcbnjmRQo`RFiSGm4;*fzryE|E28votCrJ0uOpr7?mN7~o}_dK4*yBG!n05mWh{#3~nc?*Gda}h>i+-$MJ zelG6#QzrmGTF%cMg?7Sv0d2ANI9D0Y?dCR4APytLX#z)rk?u-Z2b_9<2i71!+YlY# zgqFl`%E?kl`yucEE?6%V(9gx$)f3?-!}%K*fiM567U2Z`Ht}+j;WS0+0+rl6ut1nF zOc)GO@x%E*Ib|t;(jFK)gub%spAh&v8BPZ;FL#89h_A1&u&=1Fn}@v!L{d^x1Pm2{ zLP2;7kf*<^7s?Oh>dEyB;tvdEtS8z7=kA4ba|QmwMA^D|d&zKe;@g4$@Xy5^iTn%R z)$>ml@O+5)q1;6v!e9{>7m>d|;pwH~g9rK3q5t*?Pec6SoQOWw)6LrhjaBi%x_WW_ z9YRe5srwhguaN9_*|~drIRCc6phd9GSQk8~C*D8Ezu0@>?EXpC zzxej6<##xLcLd+vU-a`P~Bb90vA{N*k17vx{f zNc@1ppuAAZC@(C&H!u{2fItusQ9}qE0hUBSz=B{10{l07Hw@0s|NmzFYxn@A|46zz z&J*9i|L>|l#*_i}&L4Mw+&bfa4<;b+_pm^q(0_#BiSof>e*1~X`lAW$fO56R;^&V) z1^bVB+ydq>Ez$y_dj&~hpvB%fq%>R zKkE7qUH=vX|CaH8)b;<2E{cC{g|V*q_g7#1Mz`{Tp%#9VOk%60ru=)m4EUkc9D*;A zyQ`ad0sxfszb=BInc!1=C8?JNQiXJll8Ty~^5Q5>9RMIgYbYxis&`kUS~wdTUAf;@ z`^m*_a@}iah|-0pxLBWv^*bRPC{9kGbc=|JmNki%D=bM_g*`FKu|PE!raZ7CAEzD^ zdKJ!LOKfn7<}pdRJTA7lM%T3kSu*^jzjs2m=8ERc)b|(F+J};NgEq@sE_mY91btfN zyCd}x790V{oz=!=8NHAB6;a#uBW%ohug-%ML7vg|NjPfvxAJK12^wi``8jw=xM${9C zeOX&+^&tTOb6EvWF>~iOa(OrY!I=*W$4zdd68x)Kha>P97`oFJ7#ioGP#`mVjp?bh zl#bJN=6CW=-JeVu<2gR*vT3*S3mVtB9o6YnM)B#yb}2kJ99&dDFBFW7+gGheC@Fa- zZt_JItWxY?D;DQA=tVzYz6!XC&?p;(SskdAjMX>kXFa0g2ifA7zX-&Q&k#Hhe%#e5 zXEHo?F80!uy<3j-rIn!~mPr2HVCXn+ZzgL}=bk4dTfLyJWnT zq2hK{QgdE+oU}t6D9f&07akq0e}k=Cp{zr${ua`%Us>O?2L>cGuaVvOFj<5B>Xh-- zOnZ6%ltuN?v4`hNp-sCtQ#3{Zp)ZR^T>xb#l_5Cy`bpr?;k}WiOq5FbZ7|vVtPeqQ zXnv}qvgKP^?1Tmh{nG@#TbAEa9E9?(-R;Y{OV}E`B4Tb{aG5&@m|pD?TNiD!-NF`U zv~0cG+fVuY^bLKQc!yFz2J*PeY@&6^K4X&VgcI_ku&6q*R<56$b&GiB%{}ievi4ov zfu)E5Z=zhb?)dyGH*NQ#m8*xHo3l+U!~yFkmQ4L0-_%_nAkTQ4VX(^JaGm|ufc4KS z`IQ3G%ZwB^UH~RlkK19%Ma86G7aB^Fts=MNN8-=we2hi|U)vud9<=>bxo)#1i}(tU zceqbV;-~YiXJLA_%u=QXQ13KX%7o(z#qp22PIOnhXqoEjX{!Y(RkbY~Q4tfHx9okR zmo+!&o8DEsnWO){(Ky#ZCM&muZ&gHj(79vK>;HZX9SbTl8}> zW|;4!Qz(!QLZ!PNFp=3`T<>$bk@x+fS&*pCpR3<$zzEN?xOwwp7k2(irfjl1qbr1KjD*A*zUMQa1 zZ#=W3fV`!QzH7oK4)?VpbiR63x9*9qX0L_HRr>XH8o=3UwQR@AWG0(ue(z?&d>ua>`Piwdc`o>Pz2Md$ka;$xV rg.PointCloud: - # import and convert to Rhino Cloud + if i_path is None: + return None + if i_scalef is None: + i_scalef = 1.0 + df_cloud = diffcheck_bindings.dfb_geometry.DFPointCloud() df_cloud.load_from_PLY(i_path) rh_cloud = df_cvt_bindings.cvt_dfcloud_2_rhcloud(df_cloud) diff --git a/src/gh/diffCheck/diffCheck/df_cvt_bindings.py b/src/gh/diffCheck/diffCheck/df_cvt_bindings.py index c6016b37..59e34c27 100644 --- a/src/gh/diffCheck/diffCheck/df_cvt_bindings.py +++ b/src/gh/diffCheck/diffCheck/df_cvt_bindings.py @@ -260,3 +260,31 @@ def cvt_ndarray_2_rh_transform(matrix) -> rg.Transform: transfo.M32 = matrix[3, 2] transfo.M33 = matrix[3, 3] return transfo + + +def cvt_dfcloud_2_dict(df_cloud: diffcheck_bindings.dfb_geometry.DFPointCloud) -> dict: + """ + Convert a diffCheck cloud to a dictionary mainly for pickling and serialization. + + :param df_cloud: diffCheck cloud + :return cloud_dict: the cloud dictionary + """ + cloud_dict = { + "points": df_cloud.points, + "normals": df_cloud.normals, + "colors": df_cloud.colors + } + return cloud_dict + +def cvt_dict_2_dfcloud(cloud_dict: dict) -> diffcheck_bindings.dfb_geometry.DFPointCloud: + """ + Convert a dictionary to a diffCheck cloud mainly for pickling and deserialization. + + :param cloud_dict: the cloud dictionary + :return df_cloud: diffCheck cloud + """ + df_cloud = diffcheck_bindings.dfb_geometry.DFPointCloud() + df_cloud.points = cloud_dict["points"] + df_cloud.normals = cloud_dict["normals"] + df_cloud.colors = cloud_dict["colors"] + return df_cloud diff --git a/src/gh/diffCheck/diffCheck/df_error_estimation.py b/src/gh/diffCheck/diffCheck/df_error_estimation.py index 7a9776f1..75fb2003 100644 --- a/src/gh/diffCheck/diffCheck/df_error_estimation.py +++ b/src/gh/diffCheck/diffCheck/df_error_estimation.py @@ -5,11 +5,16 @@ import typing from enum import Enum +from datetime import datetime +import os + +import pickle import numpy as np import Rhino import Rhino.Geometry as rg +from Rhino.FileIO import SerializationOptions from diffCheck import diffcheck_bindings # type: ignore from diffCheck import df_cvt_bindings @@ -31,11 +36,14 @@ class DFVizResults: """ This class compiles the resluts of the error estimation into one object """ - def __init__(self, assembly): - self.source = [] - self.target = [] + self.assembly: DFAssembly = assembly + self.source: typing.List[diffcheck_bindings.dfb_geometry.DFPointCloud] = [] + self.target: typing.List[Rhino.Geometry.Mesh] = [] + + self.sanity_check: typing.List[DFInvalidData] = [] + self._is_source_cloud = True # if False it's a mesh self.distances_mean = [] self.distances_rmse = [] @@ -43,11 +51,59 @@ def __init__(self, assembly): self.distances_min_deviation = [] self.distances_sd_deviation = [] self.distances = [] - self.assembly = assembly - self.sanity_check = [] + self.__serial_file_extenion: str = ".diffCheck" + + def __repr__(self): + return f"DFVizResults of({self.assembly})" + + def __getstate__(self): + state = self.__dict__.copy() + if "source" in state and state["source"] is not None: + state["source"] = [df_cvt_bindings.cvt_dfcloud_2_dict(pcd) for pcd in state["source"]] + if "target" in state and state["target"] is not None: + state["target"] = [mesh.ToJSON(SerializationOptions()) for mesh in state["target"]] + return state + + def __setstate__(self, state: typing.Dict): + if "source" in state and state["source"] is not None: + self.source = [df_cvt_bindings.cvt_dict_2_dfcloud(state["source"][i]) for i in range(len(state["source"]))] + if "target" in state and state["target"] is not None: + self.target = [rg.Mesh.FromJSON(state["target"][i]) for i in range(len(state["target"]))] + self.__dict__.update(state) + + def dump_pickle(self, dir: str) -> None: + """ Dump the results into a pickle file for serialization """ + if not os.path.exists(os.path.dirname(dir)): + try: + os.makedirs(os.path.dirname(dir)) + except OSError as exc: + raise exc + + timestamp: str = datetime.now().strftime("%Y%m%d_%H%M%S") + assembly_name: str = self.assembly.name + serial_file_path = os.path.join(dir, f"{assembly_name}_{timestamp}{self.__serial_file_extenion}") + + try: + with open(serial_file_path, "wb") as f: + pickle.dump(self, f) + except Exception as e: + raise e + + @staticmethod + def load_pickle(file_path: str): + """ Load the results from a pickle file """ + if not os.path.exists(file_path): + raise FileNotFoundError(f"File {file_path} not found") + if not file_path.endswith(".diffCheck"): + raise ValueError(f"File {file_path} is not a valid diffCheck file") + try: + with open(file_path, "rb") as f: + obj = pickle.load(f) + except Exception as e: + raise e + return obj - self._is_source_cloud = True # if False it's a mesh def add(self, source, target, distances, sanity_check: DFInvalidData = DFInvalidData.VALID): diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index f87701fd..57f1fc5c 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -9,6 +9,7 @@ import Rhino import Rhino.Geometry as rg +from Rhino.FileIO import SerializationOptions from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML @@ -83,17 +84,24 @@ class DFFace: joint_id: Optional[int] = None def __post_init__(self): - self.all_loops = self.all_loops - - self.joint_id = self.joint_id + self.all_loops: typing.List[typing.List[DFVertex]] = self.all_loops + self.joint_id: Optional[int] = self.joint_id self.__is_joint = False self.__uuid = uuid.uuid4().int - # if df_face is created from a rhino brep face, we store the rhino brep face - self._rh_brepface = None - + self._rh_brepface: rg.BrepFace = None self.is_roundwood = False + def __getstate__(self): + state = self.__dict__.copy() + if "_rh_brepface" in state and state["_rh_brepface"] is not None: + state["_rh_brepface"] = self._rh_brepface.ToJSON(SerializationOptions()) + + def __setstate__(self, state: typing.Dict): + if "_rh_brepface" in state and state["_rh_brepface"] is not None: + state["_rh_brepface"] = rg.BrepFace.FromJSON(state["_rh_brepface"]) + self.__dict__.update(state) + def __repr__(self): return f"Face id: {(self.id)}, IsJoint: {self.is_joint} Loops: {len(self.all_loops)}" @@ -277,28 +285,41 @@ class DFBeam: faces: typing.List[DFFace] def __post_init__(self): - self.name = self.name or "Unnamed Beam" - self.faces = self.faces or [] - self.is_roundwood = False + self.name: str = self.name or "Unnamed Beam" + self.faces: typing.List[DFFace] = self.faces or [] + self.is_roundwood: bool = False - self._joint_faces = [] - self._side_faces = [] - self._vertices = [] + self._joint_faces: typing.List[DFFace] = [] + self._side_faces: typing.List[DFFace] = [] + self._vertices: typing.List[DFVertex] = [] - self._joints = [] + self._joints: typing.List[DFJoint] = [] # this should be used like a hash identifier self.__uuid = uuid.uuid4().int # this index is assigned only when the an beam is added to an assembly - self._index_assembly = None + self._index_assembly: int = None - self._center = None + self._center: rg.Point3d = None self.__id = uuid.uuid4().int + def __getstate__(self): + state = self.__dict__.copy() + if "_center" in state and state["_center"] is not None: + state["_center"] = self._center.ToJSON(SerializationOptions()) + return state + + def __setstate__(self, state: typing.Dict): + if "_center" in state and state["_center"] is not None: + state["_center"] = rg.Point3d.FromJSON(state["_center"]) + self.__dict__.update(state) + + def __repr__(self): + return f"Beam: {self.name}, Faces: {len(self.faces)}" + def deepcopy(self): return DFBeam(self.name, [face.deepcopy() for face in self.faces]) - @classmethod def from_brep_face(cls, brep, is_roundwood=False): """ @@ -346,9 +367,6 @@ def to_mesh(self, max_edge_length): mesh.Compact() return mesh - def __repr__(self): - return f"Beam: {self.name}, Faces: {len(self.faces)}" - @property def uuid(self): return self.__uuid @@ -408,27 +426,33 @@ class DFAssembly: name: str def __post_init__(self): - self.beams = self.beams + self.beams: typing.List[DFBeam] = self.beams for idx, beam in enumerate(self.beams): beam._index_assembly = idx - self.__uuid = uuid.uuid4().int + self.__uuid: int = uuid.uuid4().int - self.name = self.name or "Unnamed Assembly" + self.name: str = self.name or "Unnamed Assembly" self._all_jointfaces: typing.List[DFFace] = [] self._all_sidefaces: typing.List[DFFace] = [] self._all_vertices: typing.List[DFVertex] = [] self._all_joints: typing.List[DFJoint] = [] - for beam in self.beams: - if beam.is_roundwood: - self.contains_cylinders = True - break - else: - self.contains_cylinders = False + self.contains_cylinders: bool = any(beam.is_roundwood for beam in self.beams) + + self._mass_center: rg.Point3d = None + + def __getstate__(self): + state = self.__dict__.copy() + if "_mass_center" in state and state["_mass_center"] is not None: + state["_mass_center"] = self._mass_center.ToJSON(SerializationOptions()) + return state - self._mass_center = None + def __setstate__(self, state: typing.Dict): + if "_mass_center" in state and state["_mass_center"] is not None: + state["_mass_center"] = rg.Point3d.FromJSON(state["_mass_center"]) + self.__dict__.update(state) def __repr__(self): return f"Assembly: {self.name}, Beams: {len(self.beams)}" diff --git a/tests/integration_tests/pybinds_tests/test_pybind_units.py b/tests/integration_tests/pybinds_tests/test_pybind_units.py index 5397f4ec..6caed2d9 100644 --- a/tests/integration_tests/pybinds_tests/test_pybind_units.py +++ b/tests/integration_tests/pybinds_tests/test_pybind_units.py @@ -90,6 +90,15 @@ def test_DFPointCloud_load_from_PLY(): assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals" assert pc.colors.__len__() == 7379, "DFPointCloud should have 7379 colors" +def test_DFPointCloud_save_to_PLY(): + pc = dfb.dfb_geometry.DFPointCloud() + pc.load_from_PLY(get_ply_cloud_roof_quarter_path()) + + temp_ply_path = os.path.join(os.path.dirname(__file__), "temp_ply.ply") + pc.save_to_PLY(temp_ply_path) + assert os.path.exists(temp_ply_path), "The PLY file should be saved to the specified path" + os.remove(temp_ply_path) + @pytest.fixture def create_DFPointCloudSampleRoof(): df_pcd = dfb.dfb_geometry.DFPointCloud() diff --git a/tests/unit_tests/DFPointCloudTest.cc b/tests/unit_tests/DFPointCloudTest.cc index 6cd19791..d6d669d5 100644 --- a/tests/unit_tests/DFPointCloudTest.cc +++ b/tests/unit_tests/DFPointCloudTest.cc @@ -59,6 +59,16 @@ TEST_F(DFPointCloudTestFixture, LoadFromPLY) { EXPECT_EQ(dfPointCloud.GetNumNormals(), 7379); } +TEST_F(DFPointCloudTestFixture, SaveToPLY) { + std::string path = "./test_save.ply"; + dfPointCloud.SaveToPLY(path); + diffCheck::geometry::DFPointCloud dfPointCloud2; + dfPointCloud2.LoadFromPLY(path); + EXPECT_EQ(dfPointCloud.GetNumPoints(), dfPointCloud2.GetNumPoints()); + EXPECT_EQ(dfPointCloud.GetNumColors(), dfPointCloud2.GetNumColors()); + EXPECT_EQ(dfPointCloud.GetNumNormals(), dfPointCloud2.GetNumNormals()); +} + //------------------------------------------------------------------------- // properties //------------------------------------------------------------------------- diff --git a/unnamed.gh b/unnamed.gh deleted file mode 100644 index fdfe0ca64dbcd8715f117ac645465ab15bb25fec..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 27118 zcmV(#K;*ydeFb<^S+{lzv=k^s2bZE#tTbr@P0=Q8QkSHSq0uJIi4bX;;_idP;8LKt zbZ~dq!Hdh_u7m$;pL3EXO;TV!=6?78pMRd4+m9n#)?RzhM zpC5W8N+&gITE(Bw2BJ@?Mh8pb=x}PGh+G)k|T2iz~qtu|%+vI|p z=;aqLm+O=Da=WCwN+pRka@+l~W~~alxFHQda>4Od%0XJBRQ7aGB7%YmEaSdC{|&%JJrNmnL#cNHp)#Vl}6QBu2*2e zQl--X1w`V{1agUI{Mj*)2`Y&}Y#=qlHf?;IWPz@fCZ4n6V{RLq!sepFYjJcEP_Dp4 zX_8!y1vU+gG#YhM73h|+M6Ap<4T}Ef)V^|TgV<

hz$cr5)xhx>q4Qm>x_GqtL^G zDd7|<#nvL!W?!s`AVytCgidllGr15fVnocd(cA(Ly)NqQN-d5U{Mx%v>RIt_hjTRS?mzRT7 zhL_d&>Kd&|n)iAR;||DR+VBHYJoU!SKaQL0SW4CNtzh$lZW`fgT`=p4qa?Du~{fbe< zpvXWls9>NJIzyn;Y&7XKfm$7mav&JcK$AS%6qtqVzR|7TJvG%GkS;xb2-p>$q9iR)=Pz2jA9rC&VeYb3kxAB+mPG@M*_8FUe;y2GVJFwZIshT49~pR1R{LW3a_ zS?C1#a!s(-X$oBxzCoB5l**{b#8$_3*&kg` z1}D{^lHpBg0v9)dI*m+8VwW#l3)hp_m?#da1^xVxs@<@3_!|lxq+&8tVwuc9y+Nl? zVRD!pC#Ot^4~j~ybD;l$KO(EKVyjsO{?epzeEA6r!a_5B%e}isVIJQedbM5t+O!Qv z_DFB9U$a)B7B8RtGDz4(P^tEV4|CgPHl-a|dglF`*{}M}epT16jx6Em%7;EjPqdrx zVokN=W0~tuo~^jhXUT=cwrzi@J32M1&lS%6^E2yB+5eR#HJql+XH==z#+cMSJ2G2O zo6FtSs19}7>xIvk>Nhs3UUdh5OX`j4`&DyGHV?hCuVJG-4aBXw?O~Of8UI_8_JLO> ztiujh*jH{=+P1|PkF5B;)4R0Rm|$JTg1BjyPJ~xUpo|^1yX;Zfp)-w^w;B~6^>(lP zlV(SMQP*Lcrc(A(;;NOq`Y!j&4a-LDvYo5PpRG9T;jbrqKN?cd>hFTr+fFi1evBA& zguQ9a=r51G{kMyzu@xRj89+u`j_n^l)rcWLix8%E{#us$|qSI8!|J^nCvj zgS{&^uh08+VMzRxexa&!W6MNUZN7xrw1n@pfn_%(`n0XIsLzO(@|vl)4*3eltOy-* zy6joSZ$rZ;)jTyncxJCXArVvJR=>M`^$GT1-S7K9Px^K9(GKsvZa?{|$V6+$k=f4zf?x9+1O|HT-o4weLIw7|TQQCI zJ@%RTvX7|p!kYf?xD6vBYDw1Cs64V1b-I6S{=~24^-Ztvz2~RI)UL9QUUK}@@mN{* z@ExC4Y+ZSw+SLNf${`bP2Mp-%aXm)9-10I+;EXclQ-OADc5~-{#frigDS0;by{|~ zV_2onZO;F;w^`L%>CNZ7JsI@%-Jy`{Q=ZR0ez3h|?UVJ>qMy%fSD!+mBzcLG>Xf=r zcFmo;9hV$jK0&Hs*A5nplicW6MOAO2co1K$W`OB9tH(tFTAGc`T+P(?X)ZEm_S|c8`QVo6JFAeY3Y>@QHt>~GQxz&B^ zjT=5^`n&h=iFQ62bL-^Z~&#>vP;~C zD;n+Bu4>}H#4782kNGP4{Q3D+-?Q(8Nqd)5^qF=v@B`K=;Ie3y2| zsc!}Kqf?{upQP+-(SUzw`qX{fYnFbqEIp+KEhWC~#OCXLC$?%a|9#`?@5k1cvQIX6 z{Bdn1;f3`nbp^vM`4@U_j+is>Zn=}ct=SM@?Rt3VeN(`nC;2^>FZH!{Iy?VHp5jiM zbrq){O&Z&HXxr@wbmkCj7VaerR(=U#zmnJM99-)eww5a~CO^+WN_CB#{Ku*^yV{VNM$SZ$5d*R@;2mT`h`p)z> zRd2AX+i!>Xp@+LM`qsF&=#f=+;GAf3?zAt{Yi^BrIB%Ws_|DAM>&pk%Y%z0&k^YV{ z;C&K*m)D&Wz3)7F6tCah^;B-%%9TrujmfxK>UvPrfw7IkpH~=A=7aFu)+(*Dn(W;> z-uuh5ttpC+wT8zwvi=^ibV`-$lFLJD<()e-Kdt%n7yUlXX}+ophEK_P z>Fwk<>dk!kYW^zz(}y=-mX6$6bzZ4%Z>OF*J!0VS1nTmQgJx8jIIZrQFGtTVl~=uS z_;OgUO|yQ#ho)3`a4@e)!`zn9ys}fm>b~HV|K-8LxGe)~J@bEPt^4ObTB(^2Q~q3k zWbKHx9N*5#xA@{oZk; z{xk26muwSlxcuk)c{vZ;g$X|T<^1&~cwA}fA4dT9&v*7&1_l7RJzy+*Ix`H=~gf3oQSKw*_qdZ=;9OPq*Tx{-A zS-kBoZfZHAMJ{2DA8|cahWnB5doy;tU)2wTVrS&nnm5s`SVq2x*N2ZC`C^4g4AWWC z403s-6nw+N!FA_KwNEpc<$)?iph*dTV9)@N&=LQ#V=jRb6}Xw&3}c|m7-%%(g(?6r z2zIM`7mw_3(Dv}c=n-KzX=hp_ly_2|^12=>V-KPpxy(g_irjVy11b@tjCZ-Pb2dqm zx@RANBD#kof?Oqt24KP%mDWMQJ%tdss-_jH>VG7yvbK5)o#scuL3OHKoy(kjr|-n| zj4z|VR}nves?~wtEH^Qyh9seq#9O^l&Z{<#xO9c3V&8BjwI`kmRW^@q#UT93fwZ#k1m) z(wH=XP!MNEZBJlEs#0zB!1zlvbdY~xe-c!&dMDZPvvWjgKcx*^5uc)zYK+EMW*pP5 zi&jQqUzuU5BJ#1qyrxJsVV>m^*`b3^n#x3E43J&%=K3dywHan{h8&?3j%Ls&O`Ki0 za+Pf!+#GTMfDmho!n-9ygPW6hMaiFzS5$~%G0ZAVW&^SRd$7ebpPv9*D7IA=)@afU z!4{2#nIoz$q8w4*yw=Ub>&3g7|*0aumbKA7qm|wkRyL(Xw8x}mivW@pDfo2XnlO$++_3@q8$}#!3 zZ%-||{@Uv$Ex)v_b*s#UA!QS@4;_o3-)wSo;QFq-7pwG#x}LwiCvVTy-@2y!-TeV; zV2`SKeFByo8((E~K)K;V)~A)J-2@A6H&wq=&%To1q*F+j8=G#K_w#bjecGItBksFr z&UD_EV{H!9$e7qH%%3N0koa3Yp(eHKg8cf;ZtLEB=H8<2TR*7TZpfaK3}`+j-+gvpP~uYPpf)(z`6 zb~^d@=SuH=x62Lt2WR{~?%S|MqbhIr^;(TUYXY`-GP$p^w!F^4M|V>SI{ALdJyfH1 zz&?s;_Oy5d<-ygzt{E(w!&Eb5vC}TBZ#XES*NM;b1DEtyeoc9oJeulLdL}he%pJZV z@$zeV>#Kj}FOG^o)@9m>9fC8#@%aU>Hov-rseV23DY;X{>^awu_MO{)=k;ex-|KES zjUTuBukC;IKKN)RV^4mtq#OOQ{O%5{X=rH2EK$dx^nl&t`wxq5$E#kg1(veu{ega4 zPCaSNkLrnE18on_bj;jf-+@zg}9?{y>?!Fy7=X^ zU8VUehAp4uAMu(pdd|C7TlQ^vbYoq~=t{NCA6xBTG%uwL<5f=kD_BtDG`aWagUuQj zBsKb+=pXT^W8UbyQQUX&0k2}}`ga@La9-bA``Y|EJq%uoj{e3lxRJ?6}tyDQ6g8~!+ZLA5Pu+Hyhab{&I#hVJjN+gvmKUgnI$ zOWTO5d_H^hZtD#N+P0^bL@ac zD~2!blu{~a;np+SBOPza6-^`aOr0;(Qp)tdR*cY|uF%brGBT?)J@w70_j&WW?3bUY z^IObc^!k5nDmUXx)szeS-aKh_1&e4r^?LeSZGJvY((Uf+Gy1HUR|5*nm8Jei%4q+FJHp%N*9m2oYYy-! z@|_cQX?6wX3_Mk8+?%=D##`s4VTn--P8>}tpR)v$GrfJL(cfS(U1yYgzO(%oeu=Wf zI`p{8R!ds>*GhajY|f;9;x@OW_d4>+CO`eCl|s4i_qGr}I`02>+pSNVdR?1)wdc#Z zuPCp6-F z9Xc;OKYUn0^vBshq5%cPYQR&*PeBwrqW(xBlWdX)MzL(mLZA*0#{!|B1X%?vGTvF> zRRIes5O{cq{%3Tr63wd*YiBrXW-VLy@?xbc>POBjI-T7XxM+prz5jJ+;(sWqpJyHh z{6?CGA@B=yS=Z*`s`D@7iL?B_jVJ2uxSK2nvmpF|nNfHxU84ltCfo&cOi;@(z_2h` zOdKti&B}?5iPJjZaXADo#sQp*23U_Wgm@+?6UzRd!Xdwf2?A~+QUI=)1-MLzRD)rK zxC>yA(ITdZ&oU)28POay!ZUd$p(dN=p?th7VW=p?5$l4!W=f#nP%e}aM-lV0)v190 z0Oq5T#HfD|TeP^~O=2D$@X91i!jCh`d33XoPr(u*bF9pEK^HJm=2_5Rl~lvC;5fAa{h&_>FVjdfgj_}l=z$8b z*bHcsRmM*WkqP1e52agU+0hv;_-YKo*`SRo1}1@iBH7~Os^w&%=V4qKcA0S*Swf8- zWRU8NrJ|pU93$IE*(|G&AL3T-fSrOarvrA#GC}`PpYVSR3&-1K{F1exzwkU@jS3-> zYfNIBST>S9;J#F026-*srEO7qI|eABIJ6~A2UxNai;d>69rO&!it7dQC!{#MSg7GC zB?72FhC`F0d1j?00=^i+4}r4KJzfaHj3t6p2e}ZKG(L9F2eV^8T-wZz!;tKt3^W(e z|2E@ul1Ini7f?k?AvIlxzt41)71=(sP{6Rjn5yH6^7Kqcy<^iA4)P}JDxAB-JCvLR zd`=Wz7f@+R2|wMrte7~kZ9FRg09lUD!ZY!)pieNq3gSJULST)gr*I=x0t($EpbE@p2^)nQ*3$3-^} zsMhDk`1xfA`J`52kCaquIe7zPc|g;)eIq9gYrKDds=ihD-+~npo5CMGywTimP=$&a zrGJgC-t5Jdg{K;(J>T_LzfbSJbhZF`1CzGm+F z{aDLJQ@bY2*Yv%5Mzd_I-^o2+m$8qF{GX59XFL|7xmEtw^u)_Iwk6k*_z0VH{Iy=& zrIEMTt6J3C+3UpCmd}rkpB{It%J32U`;=?Z>R8#utoDg@c(mCshps!={9daQqNRIk z^?h00_m2;86CbS`R%w4_$q43FQs>8sQ+5rbo;`2rA#}*PaO2Cc+ux!`oZ@dvu1rLbECiSs@IEmb}gys6uY|3 z`sbBSZ7tumYg?MU!lo9W zy%V^W8pFyh3BPOJLLb_FVJn~A%^H=hvhU{j1)S%c*_*=C)~$(~|L34zPBjcX%Q>=k z-Cu1+`82N@{i03oi6&c)5A4nR<1d#`KAM7 zxn(RHYUW;Qnw{VLdGpb`N-aJSrTbDYd`geC` z`(3WX@bUNe9W%c~_xU9baJ?t>HDzDjdM7l;cxO|uW9Fx6yMmU@p*${|z4k5l&HWcM zlAA5Isw+}xw-tN#mA_N);?bdn(-~CZr88IPciF4F_+Pu9{BS`!YFss4 z&a}=U-Nyb>WzzG3&pwVHvT7JM;r@)q!FvXG>`!Tbk+r|)*HsnTPY@1UnzqaIOtMB% zwWn~6|IEGT8MU@oKJv@a`J&pBBIoX?@$^%}AE#l=IjZ`F4J1fI9C1l{5vH+ z-R=~9aoO$hErliDA1Sq@@-)f2;ioIKXkuJAHLSmCd)L7AijT1s?mYkX^cL~Of)?V1 zUW0E>rFvC}?bK&s2fy*=M&jFaEMDLvU*NZS=8&KSYXx6n(2D8a%Cs`4){UOgq0gWV z9S+`oT4v1TfxSVZ2wCso7LCGzipIqZSeae!Ht`?Wp3y`X2qTC#}f}MNU1lr z?-5JtoULBx-ZuyrL>+$j;xy;L@Yy%!E?ODZWscvH3+;v<`L%DDSNELOgMJB!%D5VB zI3PS!^+}4new0|-%9L5+?x4zNtKUmqJ$2rq$(0|ySJIyA4;>r4{eXq8$s7NAc8%ti z^4#;|=%ebjymD!%c{+dmg7C4&>S_)h)pTCFrE=83dgo>^!jzT;(ba#eHfUn)X4YRS z3|DVf{-M_iR)n&)c5mIMd&dqd>zCME<=K)tf(^I%7-trH#=}ziuO1&dxv_H>*^t!S z=-I*b+w`sc_~ZL<*@8RgCjTuB{_QOH%>B{1$3sJxb~;!y{>|J7Q}%-sXUDf>KfE>T zi-ijkzEbiHL<@B+-M~a&>&Q(}A zcKEX{n>L+(*n9R}a`OYbA~PQQ0@L zj`z8;u~hEST0`p1?3DAQkAI!J3pURFV*>AUmDGah^AYlcw^weyH(|%e#%V*ds!l%3 z?2yMmD{nie-X;J&tD^T3-rS_V$;r;w) z;nl|__hP8d9W`DG9P@Ei^IDzGvTkiGIe$~e%+c((f#C(E^!0AA}XwYhOS7>OJ^H+u3Uia&FIgFz%Zu_{BB1tIjpANnBNPP?y+NJNNxe z6x`i}bTw@i%b00hzn8u9(A zXiFHOgv5QgVK8gmLuZ{I9`3lSPU)msx31Lc)xK7M^Zr4iydJ0&7kzfR`QO6Vrz9)h zRa(@y^UOs}-;G^-y8HK{sy|DnZa}s-zxteCz5Z>|NPUl~Um}|bzZYafGbhcyk*Mg* zX#jWoc*5X+NSy|iN&(Ch`h%&Ara+6zq{QJv$7BP!jY}_p zbYfX>V44#6iwd)r*mns3+ia8rj}fsS(c@wR$WWdI59<*?DGpQx%Yy?`tSPa!V)6Z9 zt|b!?w^^dm$;=qqMWz7#z@LLFDuqfe3pDCLX_QbbYK6S85f&AOIhNvBkr-~NOh$*2 zg9Bp~p6W0D&6a_gARu@M#OU}m5}~J3by|RK#f62mbpJZBY0gms#ATyg4}%V**FXs> zMy4})sz`&jbLrtd$MzPj%dII`HLb?uyf3Yyf43}I!=JGBSm{Ku9u1!3JaRG*70J?i zPl6wI}x#6(;3)g zMdOxE+q5QXg>wc?RZIrW;og61ZWm4eeec}%`iUtrG_YHW9oQ2;Cx6-wEqMmHOl81N zCV^});j{b@=_X}(Y{B4$%x^y=qP85a-~=rp9lFRmR6LWjmhxm zpggqSAhNJ6Qs|>YAF>?ViSN5{+-HRHP+ATqkKq`_e1~?ku`EZffRG=T>Bs?)P?HQI zL2BXiF&rJ_p_KT31&8{i0v;ygr#qCZhj+sqbNRNt4bJt0tkJ$5hw>pmn}i89tV}Un zXKIp+NUk8?SRPwxg?zp`-mwisNTVjwA=qZdn%PiBNIZMn} z8L4XtDi?hr+C`z;_MhoR(2l|~ISTlzu$2e7VK;enXbac|kUJIUaM-yOv=j*j^F$+y zhIvPUyfj?P(8Kef|1@|e-L))ImvDV6rX6_hTEjAep1b7bi{#4LLbNx^QO}4vFrrm#A*MRjTb}w zr8A^4k!CJDC!w0KG%AfJ=8^NAsZR*5kl=eb zb8Pgm?f{pEr2_to`e*25VVg3F@P6$3^|bJ=S*D^zIm{1p8XL-_^3*>z?oPJkC+d?M z8})Pa#4c+m`)cFKVZ`55;H@O6F_=$ugD9PD=J7Gx+M~18ZQtidtO>B*!dPl}&ix35 zx?_06^Mnm|*(T)A&<^^zk{T9ACw9ooo)HAuuI$`+CL-N?vs-q_|g(x)^z+Aj>8rc~Ql z!g_2gr-;6QZ<9?S^vaRvWZ%0@{0(7Qq)b{I*uN~8Ltxu^dbmwP*aA^!uFLkcILpJz_acUv(1pl-B(oX$$8n>Tp1Hn%RTVgv4 zfJeuqV3(w-e<*)G*fl|%RT7Hq21^BFkmb$}lC}@$^4WcNW|%8yvREC>aG3*Oe}VJI zQ9?W2+ND&`H`j9y(sk)-N@9YVX9eE0^}i^4E4f$Q#z#hWG86c^qzv4}DWtyw{X*PZ z@FA2Ejq(3J*<*1KN3pD8t8<^7f7iG@D>_xN;9@tuZ; z_|;|)@uA(rvf!mJo3q1C>J?}nFVluL2 zd>#erFiELWc$P&G0rrxB5r5HKO4ESc06UN%-Hi7+UnI~u|l zqU4BjaGp9YYkWOX^Qic`XD`b+?v;k}5bmXm=h7T;5*!~%;gj5LSB!!x1>FUCgD(nm zNy7tQ0mFINZe*#KI{J>J?t7BChcfVcZrXv)NkRKyKp&Bh=pn8l>$K|?3)x!{+6$or zA4Dkw{Q{18Hawe&o<+|Ap5!`*w8U8Aaz=4;jKjYzuJySYXVg9;8e2hV@$cg2@gQ5G z!To>RyRPHy=3OB<|4=+5gt%G8L~XVGZ<-A|gtZ2bA(3yw7KC8Q93JR;;d5zeAxQ}W zN>X~dn#V}vI{R;E?JCCq1-vwjh#wr*nRJK~MND!phYd&N7S3_oxI4`8qP}q`*nA_r zLyU*UGrk6Y)ehtCE>?BLYyjhwyYa6Ju_0O(!d{8Gu^ilfYiMYnkK1!|T=Yj{e_kPD z(-kgy4w$2R9LY)N-NywkaeSm3o%&YHRDAttUZ8zq2rDWU@6r%9M?e+fF}6gIq)pJu zlwyJBc9MOA_i1X-YumY03UVI{F^5nbo$rMEXzX;og6n*yk!!t0 zbO+7PXaYwr{=Fo?=xt+$&tYT}Z2#MAo6qrubC|)w=y7RkUOM=;_UF<==uun>J&nhT zW2L4S+2`ZYh9JFz_0wSt2z(iy*MJXUo6kHtz6a4}-`v`W7@1zi&ajQSt3Awdol6Lh zBcFG&r}#W~oR>~E8s-M*gB;rI3C}{hiPju9Wt&0&LY(~}*EvPxS8O`YQA(*Mg$UW2 zA~E;(&5HMRQh64K z9G;nsn?2bov^Uhly>GPNzTSY{_3U@)rA&)wzb+KdBkI3reZkL6v*`_aRvnK0d3e_r z@5M5ecAY`CJ6*%m$OK84DB2#E7rhUDJcmW#6{zjD{u0l}6X!B|#IT*(%x0NI>}g?k~_5plO4AwPFN>wTVlMO+2 zIL^IqwaJbV6!GPW`*DS~n8-7>bHHXy0Sf=aRmueqZ89n|KFu zv@~*#le&|xa!F{BOACeiNvse(7nz+H6-h}#d%~d}TQ0GXA0X0$ zzZ!+>H0aCsVgiJoM%!aqd@W(S9bBv4OYb`EUl$V3GR!gpDBu0au9RPVA6rVbrFG|Q2#y;%(&ufkT$K&a? zOvEn%U%>=(OAj`h@TMYYN$fe@?lK^!C_Xdw4ZGIMEH=N{%a`~Bn|5^!M zDr`$EGn($E9d7W6{~(Sp1wM~U~okgzMkQ7H}lu z`Dn}xWx{v?XUh3p78jfB0mp_I0DPQKUWgQO^~k>QDG;W)#|Cp`{3P%(lbm=qZl1OK z&bIZ2Jh#GT(}^>ki})!Cd@>$qQf&I#CRuB8n*#w33+O)!<_j-I#>dn}&U+?fSGPDd z!X{OTX|bURnUUs1W>~hn`A{65nv|AdP0EaPQy;`CD8G;64>*tMyD?82u3aQw;Q9`Q zj>q>nuIq$LXM;~>EMhl`#XgH)e;n)A;C8{jeh5NI+sY!&@UZ36@Uygw`hivoZYxsl zHsvRcEpQ2On?SY!+Jxtb1fdA`A@T#Rey~mz%QV7ueEn*Z43;q7itD4!eU7-u?*O>6HdB9=^?g_%~!# zd|w1Sqs8f*B|;YXoVWWCb~&e-#TvT4=z8i2i^Msr$RG5?33Z1VYV=vqS7$qj_s#WL z0Ts8I|EM1FT@)W6tdPKQ-S^2g$7IEMkN9^3JlPA+?~?fnBtxe;Q-o(0L)aucHx9+y zz-5r2zu=R~9P?b@FG%cb4gQ`penRAbZRg|>cDK;xpuczy2G>O{#CB|`lWHl<9diFs z?4km`TL_Bp(fAOtKVVqowl1r2gv5I@EwI>)o_=BI`Q z@pHOUjtu1Pih<#C0$E>R{S)T2Apk^f?QyM+gta3 ztD4LgIOrjYx0o`AcmwH|)D!-W;$qF2mZbzricHE z<)gWC6Om$X`m0Z1QjC=?E?c}0p+_gLD!vm$xH`(hhit! zd5Q2_bS5S`hZNztDj8p-L1$jZh1%jDDUR3LW6Hw3RScI|gvU+TU{`w`jiEhT=p0s* zGs4Sr#-$l#Oc(oOwjRkI;uW658i~%YBxFF?5LB1QE=wCP%H3I*G8mgUh&K}3kl#wu z!Z@nXI3j$F%m*mZS)^{x#YE?eDq(F#@tk8Bwtu6!PUHtPEUUb@c0fM>kH_=-i5T6c ztM>BH*_Z^6-u_$;F(!b+;Oi)Gw%AJKlb|1&hrrLv1Z)Fr4a&&__fJgbKp>w5In!*! z`@_#HO>kpJBoGTD8-}nQwEhueXXE`csA7IJ!EpsWwApGY8#qsFGUfuTgv^Z)c1-}j zq<{go)JYCSbDmiw7heHuwMGQ_E3`(6`Qheth)0_Kju?S$&avpW zITZiRJY|t~A>6EJpIzS}_yLIf2z+z`V`D~Yr7EeO;B^Q+$$4O^`7pyOr%;2|&$u;xGvgVv#_$YOK5qz{F38*(vf zVvWStV`Yw90Ba>_&q2m;A4B|2k6Z_LK9hZ(@WLV2YnL60e^GtkZX46BFA1_|;d@d+ z-|X^)HI9PL-zD>9|3djlLb{ja=fMeMG4E)?;X$zKdW178w25)xDYXd~- zfXD&=<(JNU;zC)3euS;{p_G+hD!H*FZF#c-I)A__pJ^k*FhVmV1oB(_FFl z)f#7uFH{0tKU~^?b3bHIE?|_!+AXQ$9tFe=F2n+C{5Cs>)e~MMrOFgyZ4$9}lsIn% zxHdeK6mU8@wAC4x2EH9>kAKM5w*TU^DCZapoHl}!=5}tx5%Dd=f9W!c7&s1|_)g#W zsc@MWKm~rM2JKxywvj`H@xXcd3OBq-V!Ux%-U~RJ`2Ip7H$ln>+J|&7o+$%c zAT%X2rNwiho$V{cl;EQkmiN#3*Tt^Ez$GC4W)eFE%$5afBEEMor#S4$CNrt!f2|F1 z%dtq%u+UjMFfWv3nSdjrd#sRR_ltP?mUGdcZEqoxBk+32^{3G9Ciktm!L;o>6=IFE zIN{4bwl5@xqry1~kQab_0AONC2FN7>22W9ftZ;4+HiQQ8AH^cIDqVTJ1eMh zM~CNzY`NYT8R()3$3FrB9j^-b-z2xcaJ)$joya%F5b?7!&&H(==m)`_Nh(y3&pvFF$5>b z-F_b17{Izqj6oqks<^sfE+bq$RTqn8L!MRbS#DPQ93lJ|h$jF)x1u=>G*tI?UKJ;m zXiaum;vBRXid2I0l_FI(8KQe6he?ClA-A_rhW49S6gWDD$jKfaZlR@&R( zWTTvN^N_XE|uARJmAzKteQA8gI%~Ly4k;0$gvIuypx)Q@BMJtkM7I?fb{{LZ-CoX zf(!C}{0rM&4$mAH2X0Fd-GX^X;3Fjeip;ekS>b0D5uB%g$PvRa7i6y`;JcC6@HGbI zMGMaxA^7bu4v>oz;2d^cJTJsmUp?&`apG5dIv2sCkLiKuMe^ysKc}Eac`@*jUDt8I za?!qA8LT~||B@-Sa|1n}Z{f1{-El2ph2!4`BWDA5`KeIPQe~e zImnBFa9_Z8Ye-Zx5wXdf}$e+67OGhI)3Q=wq?cKI> zDDa#$QJx!qbYc9=GRwKJo>Cq5X0RboKzuJ1an*2NoWMe}A@}UOUp194LirCj-_`vN z9wl%-@EC{BL*FYV^X%wMMRa}=zK<8yU@~s^w3g$350)c#haa;s^o?4C6J|mlmE>rI zWpKepqk8du#)Qrid43yq6Yaz~xB2Ngp12Am*9Z68QGK|NiJuWltbGo6QL%hX9K&(g zQ-=0zLLM&@{JZf8V8FU#8)J!>&j|y+JR>Cy;XynL;@EnKHQeq8Nhjo#lc2WY&?dboMk!0c zL|Mc+q1hO5E+f2W%jx`#^6@hUi`0RCZyK-)YKFspEDp#x+RO=2DxfUHm9*gY%^eO$ zmhA?E&xE;~!if$C{xrnOU=INswdE3!KY)K%8rgNIGl!T9__wc#c??_@bmkcDg9A4M zc$;{hDV|MH%9)X%A7HZtHeCVV(oK#MY~l}%C9V&i&guEioDv`MWpY-CnWv$ncmesS z_}Qtp^EN%6!QsH^M|0XH6X2jC+llW5`bHm$#eO9k6u%Slh1kg;#J@|7_9UUaGK%Se zBWpX`u?W6P_NjO*7as?Le}u|K=l2y~=XY?2eo*G<9KoV;Pb0WcTHpgDfE>Y=SZJVU-xwWqT_xNci036@LgvfmK~oZ<8S*Jz{p&h$JeTfff3)kqLihMS9mWA-@eocHU>`Uy7WvUUJV(k)C;U!Y4EU9NGN#_%l;MVdKWUe+N7VLJB_uCY+x7oRF zC*G`wc~JN+&g*m-dz`a{uzKW&dm4Y7|Bj!@;Q5T!^l#}yVUCDsKh8Jig%)B|h_{hs zz|S^@f6HP3yRe_HhhmH*#M{nsgGsqRJDy5QMP+dy?nH4rzK@nmBgUCW=uZL$_!Nu8 zp>6Aujps=09Z(b*D;uw<=y_t~K5^ULTUdt+Ib15_GZ6bK2ws^p*V(OIwV$0#V)kwA z`7fef2#5c#?{gFooRX05#=y9QUuvrx`77UrSrL0cQQVd#b;w=Y^cUhvBOYTro!N%p zE9ToA9JId+?aOe)C+)mK0$X(2hwH4jg?r*4{?`+6DdOQnUlCXTr|PMiY%A}FbQR>( zp@UDF%7ocJBjwHYPY`P}%;F3=S1*@3erL%iO`Ki$fvd93gPR8vUtTTk@YN`Et7K?! zbKhi1rd(=5-&QJN`$i=@z3|&k4ULc z&bB?l9C6spsDMi%#h}y64JH-Qs?xSrF?AU95M62v|Gax0N1$`^>^~<6k@$>ZcOBZ!)5~VXsFnOR9gZ7{=2+L(E z6WMnuNK39Y-5Rj?dsQ_q3RDABH4s$w(7&Oo%bUkV@zNjs {Sf1s*<{}-rgztCNo zbyZPOQ$ji|-^9*3`R}W0(NB&3cT{yiJgDk`&i|sSdXrWB?^e|^X-cz3q7|zO#}f6= z>1q?WVs7Z=H8LfMUA}BBG#2G!W1=|l_a^+N`XSZKdz+nx3N&)q46juu>O4SIWke=| zzp!>(xldv=5M}f+LZg>gH7KxJ6Yp3~6WOf--mvfspB!-QfDr=TC ztBw5rUu~KUt+u5^gT+<-RJD(2&Mfp_Co^LF%9I)6FAJL9p+c|r`vl`do)1O}XW4C7!k1l_FY%~qK*QdAc z(!@a{Mtthrqhh7g={=|sF;P*SDzQf158e}0>1uS1CJVOu=;P=U;}+EY`4+$&DH{O3IrQ!QQiE=Mlvp^g03SMYAVPoann~YxQeQ zhV1G;d+O8~GyXhv>V{!6rOB8N%g1A*;^Tf}A5i>NHE-^byje5m^rkks%wL$-YgbArx;U#y(5~I6hin6q; zD$njHKHI~Gb-POCm*tMW8olgQ+2uV;dA&~CaD>lfmfUA)+qdf6$+IV~xU%_U#WA^8 zw`h{F_G?zYqqRtFJ1gPvv6Cm~9tk=!Y3TAB+v`QWuJSZ#&`!#zlH9v|tYBNCjq?oG z2QJxnXIAptxISk@h|jD`|b4RcgrfCj!mm~ zyv6fB+Lw)(!2ZKXJG}J$*FG7K4sH!t7Is|FFaK+H>?Iki_QX87>D;n&9Xoyf6kody z*1ToQJr}R^P9Jf6>T?1K#_QR_Se#;pCc&0;uszBU6B>n$mUfu^AI+Z+>rm z^nR5pqAjKeqg(ITq`mqGs(gI^zSm;j@^ig4BkngCl`8LE^C`vG8ZzkEEUK(&kMgZn z?!TExXLP1-_A7aP;hiz68lU$Msn_@Q>Abo9KCHiR?e90M`-k@b(q~E>txcOaL$j5o zShsK8ia)!)AhWMLk)1f$+xtM){$)8Db8l;U7wa$UXFWVpkhHGlYHTm>mpL~Kt#k|2 zwf&bqII?Zqwxwe_wwXV?e!uMZFRyp}__+R*Bip)d&FZ-0^|VIPd#!lwg3E8|`{%1O zkv+rOv{|)k=}{&9^1{&E)sHD-A8xJN>dDlnJ1PzCwQ#v^(^lQ4)&1+d396Nl+hH-~ z>{;5I4d#Lr?sW`1*Cn;&*30h#q*Z2IY@eMpJ@3fz0= zm#S;m$Ac@46FjaS(YxE#?I$`;+AHbBjf>g7`6adB;yG!(_@gc9wWhB)zrplo%Z$q( zyt~GK>}>99;V!Q^WkCKS&Aj>hM|8a`uF<^Z(&$B}4ZgAb^lSc|Td3Ow3EK6Z6-Eh2 zp57&*eD3I9*C|gol%2_#W7X~-b^UtQWsORu%9Y;!{5i{O)RT7pC%WhEl{Dclo!M;E z=?{ya-rX>8pG@A@c>VCY5+Mc4HU|3kAMvQm7~qyI>tcELn3l7q%jJu?OV3VknNhpT zn1W?*yT7WDuN%3gQkT=Exgj$`Tjf?rP~O}#v_glfFZNa0Dg5K^xqRxI2QPYct-5U5 z#(;u^&smx5yZzejeytcOS+`++6>Heds1td^Z^s|0wYy0W_AH-&&ODIb_yko`Zp4Zu z4|XL8r{}HIgjJn#i0p}4xXIbscjQ+PE6g$l!yrbRUOY%w2u3_c!Xr#;vKoGzlI5p zai)qpmx(xip;6tOh|dELRI3t^(>Q7NH8iDWnm*5=bK8w5b?~n#5qG*_x9a))>6=o+ zYRX~te=+*kW?x@UOAhY#;n9>9Uw@xE70Q3Oz4@e4Eyaz~dKO6QygXmI@8B6d*PS_a zZ%*Z!rISh~CJei>%c|U4nO0BQ@s1&R=9t_Yzn4Ab<-M3Ih;9+ltjE;UiVuu&ahYOq z1M2->ShEFZI(a4Z+MrE{?fALrUq^GR>O)dy9$V7mV}9QboW;pf>C?Y{@mh3e_gR+w z%<9beut_CyDc;BK|MhaoyT_|jJD+)cV)3f(lLn`J7~5=D&AQ=}ri2>DFm_dyayu+e zQItNs`1+V(yOjxD&4Hn!_LIgiI-gNyNk=u={rb_=bD14Fbe!{h_JU=+`n$$VojiHW zxN#?I9%3T$K9p3*2}ry<<1Ddy|?z4KRPY%=|%C* zhyCm2of^`zT9>Z_`ewiW)ME9Hw*~4)FJG2zt}ZCKe)UP-)Xen-P2#8aDL*DBI4Gj; z!;>Gp(vQ7K9SGQmL*f#w2dt-mmcFpDUP@QH^>C#-2S7y`M&f zu9%U3x#othPqS|f+&8v%tAK;Q)L3->My;%O6oShn5?=>bhjT zc*cfjJ-%+yT-)|oe)PbzO?zuqQL0lceGpiqJswxEL*<(>)VZOAI%$MhO`bzx5B>3H%u=ZCfR(rc4#+1^$L*RtQhhFoINH=jRm)_X_(i!E8> zmP#yw8dLArUy`1-NV?#FrhSEXS1q@$T9SKg8lal=j2XU(!+j7IaI-<)scmWZPRve> zi(BP)`1sgMzB)Dx}l!;XV|&3mMGT# z^z`)2?dP7#o71mx>b>XFhb$ZuU8&OEHZybfkDC9iPe#wTj|Z+RJ+cn>H}~5o>r^bl!hCI4s8%T>FB}n&+i_iH<&VK^5G35_aAIL zac8-qbK@G*%K8)}Tzd5jR-xS9!Kq7Al)sERO*d{~FfBf%bFbYI((conmx?xQ*1pB6 zUhNXQNIJUu&bQC^s?UG+84xl1TBj59tF)c*>6~l@)TNLb;Y~Wr`JxQ zd4K#8RO5Jh_m>@-oE<(tSodyPLZ3~yJMS4eYek*oAG=uUcAPqSQr_pDAFs{Y_Oks+ zcAi+?Z)n_^S>u0S(5%JGPn$EkYOjnN_~i?GYD?><3G7jG`xvsXZToWRkB>}d#=esC z=ifbbDs6g8c2hMcs9}?dqM-{!!55DFm0CIW;Nwe&In8+Ue-E0n?9NNW=53td(vyca zXkacoR1`dJLR`CylfL)4Z~M^O?cMXdd3N)Tl}EQNGjxB02K7fo_5Z~$e|HB~B~G*M zOX7mrgJ~rqXGPsw@V4cYfUB146ZkzozrP)Se#gt^bGqbO{iF>ZUVB}mZpo5Qw^@B6 zn)$TPt$Bv}@Z+8P>rS*@796xn`1SnV$6b%l+0K^UqIUf7cMqTa>!0;s^GGK0=A|AV z(5%MTT}jq%fEG}uYEq8?05IWQ_JzPL#=NgPp6L9D7`=O#gYtP&6`qf zlE*~)ObwE7uCGcNP>`^+YIKb!rz^)Fdwq3Y^5Y{J*T3Y|coKQ7MS7@N}PUks|ey-`)gVcE>+1-ZL-n+^2tN4L+9lFaC|v(MKrCw5$`f9z|er^9!L zkI`No@_zii-12AMKAtuzBx3Atr6TFl;&+z7nft1wK;G`KD|S`&L8rJjGlZxsT37x&(OtLjME=$OeZCoGI# zq$^Wu_`X|FBTHqatgcZ9>$WCP_4z~f|3lh&f3v~&Z@eg~t-XSxRqHlmv{se2q^;T5 zTg}*7E5t6UDyZ9xO=|B^dsl2Cwl-GnAgMiKd_B)O&tLHU{qxKFoa?;D^}5daOken+ z1{dStv1A(1Kdti8fq8)PJMTeK(TOuDuNNi)hXAmU~S{2Cu`Z~cWA@`$4RN4aGtyyg@7DeU%SKHIlgz*ad zd%0smxO?~R+m2_pYEq5rVuYlj^1G_Ev6i`;$wTuyLQI)iJT8AHJMXlbl2g(y`V*Ro z1k3Z)1Xx=ZdyQozKfsl?-%k;si56+K2U*#UwGkgPY753c!3-h43^)4|z=wo(0wM>tjcx1Y@oC2e>Zzp12`532oY~<*;H9ITV?-kd8Wu5+-XHpt?xEz^)Z+yJG zmeSXL+U>or(XO`kEbx4X)$)N!OTFiGnME-ZK3=Vb1ff?#DWmgG!OuV)M|yri9!!YF z^s=$SQt{5dbQrx&RPPbPfK~2?Nac{Hv&=Z^ELfu^&x^MCTFP38XPtmbXD_os!v_T8kBkEdFfo1_VU8JwaGupG-2;n&kDvLs`HL?b+w#bXhqp7^9(RY zSC;}pmnzM~(sG|`^1`zF)S2!MRdaKRoASzw(6tUPKcK%uK~l#%JKC|99sP81zn2w0 z(|$^jxjyJVFnwBaJ~w(qzsD`w?|)D)*7W@~lgqa^6@8>H2+$6W7Wi?!+9T}1q)W=s+38ALFiiGir%x`jkLrXr$VXaoEjRo6qWjeMSn-6n+=MwLtKIKl zefM{R`&1(yH(d;b$j?0LPe>2y#nZ* z(xqx%0y{f-j?BKW-R_N%gDz(N9ak3(41DjkHJ+co;9ognD}RnFZO(a^U}VO_RI%X! zJ@BOpxOysf^3bDDxr&TRTM+)|Aa3u>->>zg$xIKle|Ej(0p0U;AY(~a$EK(HCOKq`Tv@@0C(k`55bVTqwT=pEvxn+c&@xIL0;&u87SL4O) zPkQ@9GFqn&P`ovvuM}W1;iSVIAzz?ZoSvVBf3G6M5!8 zG+AR4r|csu-v2OR#M@F9 zT;Czxmh|qr0ZtvNY`RI{^cq>p=UTuGK?SdMJyIQ1=Sy?ihRdvGQ z3`~;}%N3?>TkCtj;z`Lr(S+tqFm6^lNO%6F$uf&_t$f!C^S8)!e~-p>RYx@`5-z+1 z?Uy&UlpX{sw8o6MZ|oP_8wSY@e`_wtxD$!&qdPm>=)1loJSsc@EpYR}Ejr>~uOvtg zPU42HGT-K_r7JDo;%UPAhzMYP+S=Pk0@DLf^=207Dw9vO3$7~~4-Dd;r!Mxc|Ja)^ z1vcLFCi&9<#kj%)ru1k2uOegl&cmg}WVoX|_ZMbebd6?l3i#8XCHnjc16!@5?mYXF zCT{_4VwR!c?=jUwc<^5`vdD?vwIII(x6bls7DIeVmX0A$_!`STW@yCH*njZ8 zHK`i~5lQ=brV#xjWrQML@tK8CWNjAe7up^PiYn$xzhsF15itT95{IJfp%j$d#!dST z+Dez*_r!0+`+GM_Y1R@+nvFTEOaLR-G|XO}d%;c2#b!E}mVRHKzIO5T70<3*`QT-S zr)D2$Oditz*aXw2CwmUW46OP1TRY7~sI5w&8JxRxg;O|ob1BmwcGd$;&VBst!c2A! z+%@c}Qd*)0%9cDReOswT3|JyPLr}2z0XU?#+J`basdsq^(2h+WakH-ex(F*Baysj} zAUAJ&)f)u44&fMg=3$0|Kqv>&6ii}e5*Yq^g;8o!Xo?B6>vK}6sMr+X*ORAO+^|UV z+(a&e1F8_IJG#93QI->c`zYJwa$G24Ko#j3J~C=k8&^FS@nH0yr$kE^ACmN#K|yUY zzR2460W8XTt!j>262a!;BN`b7@K3F|c8n=3P53F-Wp5)8X;cQIDUAO)u=HWUMzY#- z2O^blMv{OSwkI>*Vcc!|4f_{gog|zMyE=nh|9$;?Y!3fCh3G$zy`Bl6recP3DYEE; zC!#FwrFOTiOPF2MkG{CA7jyl~y5k$HL{M1RSqOOF!@TcgLN$? zklVJp>Q(v1t#>McwE_;1T6(iO=2%^kAV)kFVi8bXS($R~xO_!|hHT&0n&>nP4y53F zc8xGLme^xse!}VGDr{zuD{LUc!ZgE^<8(1C@9N#x^;2SMYD%l{fCog&9UU2mtx{5C zVrI?8I@g^bB4L^|*{-n@5vq33c~9*iEv@yFj>_yOr3h5>$A(&?!f(T=8dA|y-PYw0 zpaD9~J8=Np`Tkb>?)_c`E_qrhL?2@K4Zl?A0GteYzn6u=h9j&xVc=Q6tq@|^5HjLq zTkVyyb3NEAe7+;BMOBn+Aq9we@d7Mtka30%&JbgLQd!v8!-oSlju9-W^YPd6Kd7_h zll*pk_4K?%><+K`9wP%)gT3{3FgEc*Nng*Yh|z%Zy&{&1wxF3wJsIgq8!q6gvRc(2 z`E!>B>e!f=_6F~v-J3l~AO%`&q^YqU(}Eaqc`td8IvhvB69yi(WdQ>0H0)`@a_uB* z0dNz3-JiBu*1(d~VH}lBQrdt91c*Zn%U2D(-?0M9i_e`+aYRbw+r#_;ipS}Tvs&55 zHFA#<@Au|baBb+fbCSP_*L)57{JKg-1(o%sWX~qI z5U|M~KQ?u9?4eGlY5)Sf?}Nm`z^hTe#f_1)hIVT6H z{aj9#6AAb?uTLg{n?3b=G~j4DaD<(UqZH$m@LebH-Mfi0W2v=u<65s;`yUoM!AWi> zF84wTCef{XwiM)?Ce4RBpht-kz+H)dEBh~WWI{2I1lF@MBR58bY445)5X-3V4tDt- zY6p8{C~mj$B;1xJ4*Ni%!Kf>)%cafDP1V42l{iAj=c0uDtkrNgQsmfJ|Cgu2!utqF zUKUK~e5X*6YJpZB|xFn%i+hh1Wcc`wM(008ysu=0HU)OT{;Osq7V6JJcMM=(M)o6T`vFm4Y zy5(ms?!qlat8T%0rXn~`V0(wRp@tdARs)Aw5r}pN z{<;G0u&Z-iDWDDI-`}jKJ#jsIPfPl@+55M}q71e(9IW&$9YZ36Ocs_*3m9Jnh`L|> zT_IC|a(4se#U!M}9_gAdwAyUEc&88nwrfuVsyUNr;MxRAi3(H&nA=Fi70ST^%*+4* z88`-ky}^#0>u-xRMg(8-IR%Vh;p_CEEm5G8q%IuheB+W!Z>fN+9Lps;K1t%G@eP%4 z)SdSphQ74Rnl=pM5u!g$%S}xvm45-quk9?t>}=vP*LMTe8vW*sjc;hn;IGk|uhU=C zXb!VB-^LdW)`@a8z%)=6rHUQaamo0cmyv+3{1Lb2CrPdmDCV~UT6CZ-Vc;)_hu4XD z6lQpM_*33~&~J!&o7h;?_uum}*qyUE7!KM&e|Q{slGaybd0l|TKF!$%sEm~~)Z;|w z@yU-V5?Ukzu`|KVHK3H#RAoSZWv4^sfYoNp4&|O8=-}QH79#m!Qe+&T{d!_(Yp($# z{$pepSbt`!Z2NUkc`?ClyDqoAy{WQosG!`bPnmAXU?a3BKOMc6rg+HT#+6aY64x+PX)Y$;nTeCu}2`!&*Q6NyDAHUERR8WdGixMKBv;R$&gzel*B%VIq+x|VJQM^KNtVOviiorafxPa<0=GSMg z@1|u=<40u1=e*!lAdYf>6j32tSqQi>RY}F2qAWOu!3|BNGm2-*h70qQEjEV)J?c9- zvY-VNgG8XDpj~$n_Z_$nLD3vrimRW@wtHx$WkzB z-GaMzKWKc8WQoHQ!QZ2-_1GHW$&8>a@tnDpv)i=_1tt7ZKsB!eauB6ReJocY(NxMs zSAvt98;wRAt{0OfVQRjvCnhFN6l(ixrvlZqNi=mk%-uhb=$33gnv$264!>RNe}d1z zhS=5RnKXEB-(W}iXL~F9;o!8vnButws}HbtBeYxf><&%jyj$?`9OMQjjOL9C)gEOK zrYUHU>(vF*3laBNK`JUsy>9DN8TzOT9XFck7gAQS_-8cn@KMtk>%Qb5;r5mmMm)OGh+_D zF?qq+H3IPS7+@%XjSIiE<#%~BQ|qaJeEjHbr%Ikul@)3ul|qu zgW*|&G)5rxA@-F&caT?QA&|OoAdbM}_rG+21*rCorM8M87;b+Xh;-^M%69&Q`B&Ml z?nZtDQY0JOR$+}k3vq*DMQ{z@9-r(JUAfuu)D&GjXquO2a|anDk}{M(mCXH&!Ejpe&}Q%u8^IJ%crRmH^!^|&v|hsU|8eKK>bG1(StH1{DdY=hW~Hw!J8hbqH>s+ p0_Nd47ZTjOCfnw`GrPlIjQURm<>t2!m5P_|Km8v7009600{}zL?8E>7 From 8f0b06ad55524554e2ce1a620179d55e03c91e73 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Fri, 15 Nov 2024 13:40:29 +0100 Subject: [PATCH 07/17] FIX: convert pickle to JSON serialization --- src/gh/components/DF_export_results/code.py | 3 +- src/gh/components/DF_import_results/code.py | 2 +- .../diffCheck/df_error_estimation.py | 59 ++++++-- src/gh/diffCheck/diffCheck/df_geometries.py | 132 +++++++++++++++++- 4 files changed, 178 insertions(+), 18 deletions(-) diff --git a/src/gh/components/DF_export_results/code.py b/src/gh/components/DF_export_results/code.py index dd9059dd..a051167f 100644 --- a/src/gh/components/DF_export_results/code.py +++ b/src/gh/components/DF_export_results/code.py @@ -52,6 +52,7 @@ def RunScript(self, i_dump: bool, i_export_dir: str, i_results): if i_dump is None or i_export_dir is None or i_results is None: return None - i_results.dump_pickle(i_export_dir) + if i_dump: + i_results.dump_serialization(i_export_dir) return None diff --git a/src/gh/components/DF_import_results/code.py b/src/gh/components/DF_import_results/code.py index 3508e81a..2ded2a2c 100644 --- a/src/gh/components/DF_import_results/code.py +++ b/src/gh/components/DF_import_results/code.py @@ -10,6 +10,6 @@ def RunScript(self, i_import_path: str): if i_import_path is None: return None - o_results = DFVizResults.load_pickle(i_import_path) + o_results = DFVizResults.load_serialization(i_import_path) return o_results diff --git a/src/gh/diffCheck/diffCheck/df_error_estimation.py b/src/gh/diffCheck/diffCheck/df_error_estimation.py index 75fb2003..4607e1e6 100644 --- a/src/gh/diffCheck/diffCheck/df_error_estimation.py +++ b/src/gh/diffCheck/diffCheck/df_error_estimation.py @@ -8,7 +8,7 @@ from datetime import datetime import os -import pickle +import json import numpy as np @@ -21,6 +21,13 @@ from diffCheck.df_geometries import DFAssembly +class NumpyEncoder(json.JSONEncoder): + """ Special json encoder for numpy ndarray types. """ + def default(self, obj): + if isinstance(obj, np.ndarray): + return obj.tolist() + return super().default(obj) + class DFInvalidData(Enum): """ Enum to define the type of invalid data for joint or assembly analysis @@ -36,6 +43,8 @@ class DFVizResults: """ This class compiles the resluts of the error estimation into one object """ + __serial_file_extenion: str = ".diffCheck" + def __init__(self, assembly): self.assembly: DFAssembly = assembly @@ -52,28 +61,46 @@ def __init__(self, assembly): self.distances_sd_deviation = [] self.distances = [] - self.__serial_file_extenion: str = ".diffCheck" - def __repr__(self): return f"DFVizResults of({self.assembly})" def __getstate__(self): state = self.__dict__.copy() + if "assembly" in state and state["assembly"] is not None: + state["assembly"] = self.assembly.__getstate__() if "source" in state and state["source"] is not None: state["source"] = [df_cvt_bindings.cvt_dfcloud_2_dict(pcd) for pcd in state["source"]] if "target" in state and state["target"] is not None: state["target"] = [mesh.ToJSON(SerializationOptions()) for mesh in state["target"]] + if "sanity_check" in state and state["sanity_check"] is not None: + state["sanity_check"] = [s.value if isinstance(s, DFInvalidData) else s for s in self.sanity_check] return state def __setstate__(self, state: typing.Dict): + if "assembly" in state and state["assembly"] is not None: + assembly = DFAssembly.__new__(DFAssembly) + assembly.__setstate__(state["assembly"]) + state["assembly"] = assembly if "source" in state and state["source"] is not None: - self.source = [df_cvt_bindings.cvt_dict_2_dfcloud(state["source"][i]) for i in range(len(state["source"]))] + source = [] + for pcd_dict in state["source"]: + pcd = diffcheck_bindings.dfb_geometry.DFPointCloud() + pcd = df_cvt_bindings.cvt_dict_2_dfcloud(pcd_dict) + source.append(pcd) + state["source"] = source if "target" in state and state["target"] is not None: - self.target = [rg.Mesh.FromJSON(state["target"][i]) for i in range(len(state["target"]))] + target = [] + for mesh_json in state["target"]: + mesh = rg.Mesh() + mesh = mesh.FromJSON(mesh_json) + target.append(mesh) + state["target"] = target + if "sanity_check" in state and state["sanity_check"] is not None: + state["sanity_check"] = [DFInvalidData(s) for s in state["sanity_check"]] self.__dict__.update(state) - def dump_pickle(self, dir: str) -> None: - """ Dump the results into a pickle file for serialization """ + def dump_serialization(self, dir: str) -> str: + """ Dump the results into a JSON file for serialization """ if not os.path.exists(os.path.dirname(dir)): try: os.makedirs(os.path.dirname(dir)) @@ -85,21 +112,25 @@ def dump_pickle(self, dir: str) -> None: serial_file_path = os.path.join(dir, f"{assembly_name}_{timestamp}{self.__serial_file_extenion}") try: - with open(serial_file_path, "wb") as f: - pickle.dump(self, f) + with open(serial_file_path, "w") as f: + json.dump(self.__getstate__(), f, cls=NumpyEncoder) except Exception as e: raise e + return serial_file_path + @staticmethod - def load_pickle(file_path: str): - """ Load the results from a pickle file """ + def load_serialization(file_path: str) -> 'DFVizResults': + """ Load the results from a JSON file """ if not os.path.exists(file_path): raise FileNotFoundError(f"File {file_path} not found") - if not file_path.endswith(".diffCheck"): + if not file_path.endswith(DFVizResults.__serial_file_extenion): raise ValueError(f"File {file_path} is not a valid diffCheck file") try: - with open(file_path, "rb") as f: - obj = pickle.load(f) + with open(file_path, "r") as f: + state = json.load(f) + obj = DFVizResults.__new__(DFVizResults) + obj.__setstate__(state) except Exception as e: raise e return obj diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index 57f1fc5c..44e502a6 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -36,6 +36,12 @@ def __post_init__(self): self.__uuid = uuid.uuid4().int + def __getstate__(self): + return self.__dict__ + + def __setstate__(self, state: typing.Dict): + self.__dict__.update(state) + def __repr__(self): return f"Vertex: X={self.x}, Y={self.y}, Z={self.z}" @@ -94,13 +100,29 @@ def __post_init__(self): def __getstate__(self): state = self.__dict__.copy() + if "all_loops" in state and state["all_loops"] is not None: + state["all_loops"] = [[vertex.__getstate__() for vertex in loop] for loop in state["all_loops"]] + # note: rg.BrepFaces cannot be serialized, so we need to convert it to a Surface >> JSON >> brep >> brepface (and vice versa) if "_rh_brepface" in state and state["_rh_brepface"] is not None: - state["_rh_brepface"] = self._rh_brepface.ToJSON(SerializationOptions()) + state["_rh_brepface"] = self.to_brep_face().DuplicateFace(True).ToJSON(SerializationOptions()) + return state def __setstate__(self, state: typing.Dict): + if "all_loops" in state and state["all_loops"] is not None: + all_loops = [] + for loop_state in state["all_loops"]: + loop = [DFVertex.__new__(DFVertex) for _ in loop_state] + for vertex, vertex_state in zip(loop, loop_state): + vertex.__setstate__(vertex_state) + all_loops.append(loop) + state["all_loops"] = all_loops + # note: rg.BrepFaces cannot be serialized, so we need to convert it to a Surface >> JSON >> brep >> brepface (and vice versa) if "_rh_brepface" in state and state["_rh_brepface"] is not None: - state["_rh_brepface"] = rg.BrepFace.FromJSON(state["_rh_brepface"]) + state["_rh_brepface"] = rg.Surface.FromJSON(state["_rh_brepface"]).Faces[0] self.__dict__.update(state) + if self._rh_brepface is not None: + self.from_brep_face(self._rh_brepface, self.joint_id) + def __repr__(self): return f"Face id: {(self.id)}, IsJoint: {self.is_joint} Loops: {len(self.all_loops)}" @@ -235,6 +257,22 @@ def __post_init__(self): # this is an automatic identifier self.__uuid = uuid.uuid4().int + def __getstate__(self): + state = self.__dict__.copy() + if "faces" in state and state["faces"] is not None: + state["faces"] = [face.__getstate__() for face in self.faces] + return state + + def __setstate__(self, state: typing.Dict): + if "faces" in state and state["faces"] is not None: + faces = [] + for face_state in state["faces"]: + face = DFFace.__new__(DFFace) + face.__setstate__(face_state) + faces.append(face) + state["faces"] = faces + self.__dict__.update(state) + def __repr__(self): return f"Joint id: {self.id}, Faces: {len(self.faces)}" @@ -305,11 +343,56 @@ def __post_init__(self): def __getstate__(self): state = self.__dict__.copy() + if "faces" in state and state["faces"] is not None: + state["faces"] = [face.__getstate__() for face in self.faces] + if "_joint_faces" in state and state["_joint_faces"] is not None: + state["_joint_faces"] = [face.__getstate__() for face in state["_joint_faces"]] + if "_side_faces" in state and state["_side_faces"] is not None: + state["_side_faces"] = [face.__getstate__() for face in state["_side_faces"]] + if "_vertices" in state and state["_vertices"] is not None: + state["_vertices"] = [vertex.__getstate__() for vertex in state["_vertices"]] + if "_joints" in state and state["_joints"] is not None: + state["_joints"] = [joint.__getstate__() for joint in state["_joints"]] if "_center" in state and state["_center"] is not None: state["_center"] = self._center.ToJSON(SerializationOptions()) return state def __setstate__(self, state: typing.Dict): + if "faces" in state and state["faces"] is not None: + faces = [] + for face_state in state["faces"]: + face = DFFace.__new__(DFFace) + face.__setstate__(face_state) + faces.append(face) + state["faces"] = faces + if "_joint_faces" in state and state["_joint_faces"] is not None: + joint_faces = [] + for face_state in state["_joint_faces"]: + face = DFFace.__new__(DFFace) + face.__setstate__(face_state) + joint_faces.append(face) + state["_joint_faces"] = joint_faces + if "_side_faces" in state and state["_side_faces"] is not None: + side_faces = [] + for face_state in state["_side_faces"]: + face = DFFace.__new__(DFFace) + face.__setstate__(face_state) + side_faces.append(face) + state["_side_faces"] = side_faces + if "_vertices" in state and state["_vertices"] is not None: + vertices = [] + for vertex_state in state["_vertices"]: + vertex = DFVertex.__new__(DFVertex) + vertex.__setstate__(vertex_state) + vertices.append(vertex) + state["_vertices"] = vertices + if "_joints" in state and state["_joints"] is not None: + joints = [] + for joint_state in state["_joints"]: + joint = DFJoint.__new__(DFJoint) + joint.__setstate__(joint_state) + joints.append(joint) + state["_joints"] = joints if "_center" in state and state["_center"] is not None: state["_center"] = rg.Point3d.FromJSON(state["_center"]) self.__dict__.update(state) @@ -445,13 +528,58 @@ def __post_init__(self): def __getstate__(self): state = self.__dict__.copy() + if "beams" in state and state["beams"] is not None: + state["beams"] = [beam.__getstate__() for beam in self.beams] if "_mass_center" in state and state["_mass_center"] is not None: state["_mass_center"] = self._mass_center.ToJSON(SerializationOptions()) + if "_all_jointfaces" in state and state["_all_jointfaces"] is not None: + state["_all_jointfaces"] = [face.__getstate__() for face in state["_all_jointfaces"]] + if "_all_sidefaces" in state and state["_all_sidefaces"] is not None: + state["_all_sidefaces"] = [face.__getstate__() for face in state["_all_sidefaces"]] + if "_all_vertices" in state and state["_all_vertices"] is not None: + state["_all_vertices"] = [vertex.__getstate__() for vertex in state["_all_vertices"]] + if "_all_joints" in state and state["_all_joints"] is not None: + state["_all_joints"] = [joint.__getstate__() for joint in state["_all_joints"]] return state def __setstate__(self, state: typing.Dict): + if "beams" in state and state["beams"] is not None: + beams = [] + for beam_state in state["beams"]: + beam = DFBeam.__new__(DFBeam) + beam.__setstate__(beam_state) + beams.append(beam) + state["beams"] = beams if "_mass_center" in state and state["_mass_center"] is not None: state["_mass_center"] = rg.Point3d.FromJSON(state["_mass_center"]) + if "_all_jointfaces" in state and state["_all_jointfaces"] is not None: + joint_faces = [] + for face_state in state["_all_jointfaces"]: + face = DFFace.__new__(DFFace) + face.__setstate__(face_state) + joint_faces.append(face) + state["_all_jointfaces"] = joint_faces + if "_all_sidefaces" in state and state["_all_sidefaces"] is not None: + side_faces = [] + for face_state in state["_all_sidefaces"]: + face = DFFace.__new__(DFFace) + face.__setstate__(face_state) + side_faces.append(face) + state["_all_sidefaces"] = side_faces + if "_all_vertices" in state and state["_all_vertices"] is not None: + vertices = [] + for vertex_state in state["_all_vertices"]: + vertex = DFVertex.__new__(DFVertex) + vertex.__setstate__(vertex_state) + vertices.append(vertex) + state["_all_vertices"] = vertices + if "_all_joints" in state and state["_all_joints"] is not None: + joints = [] + for joint_state in state["_all_joints"]: + joint = DFJoint.__new__(DFJoint) + joint.__setstate__(joint_state) + joints.append(joint) + state["_all_joints"] = joints self.__dict__.update(state) def __repr__(self): From 25f110b43936353ed09ae918759183364546f2eb Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Fri, 15 Nov 2024 14:40:27 +0100 Subject: [PATCH 08/17] FIX: missing import --- src/gh/components/DF_export_cloud_to_file/code.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/gh/components/DF_export_cloud_to_file/code.py b/src/gh/components/DF_export_cloud_to_file/code.py index 02b04967..54d429de 100644 --- a/src/gh/components/DF_export_cloud_to_file/code.py +++ b/src/gh/components/DF_export_cloud_to_file/code.py @@ -2,6 +2,7 @@ import System +import Rhino # noqa: F401 import Rhino.Geometry as rg from ghpythonlib.componentbase import executingcomponent as component From 5e398f02c410c9f469a96711e7a636286c3bd468 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Fri, 15 Nov 2024 14:46:16 +0100 Subject: [PATCH 09/17] FIX: correct exception RML message --- src/gh/components/DF_export_cloud_to_file/code.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/gh/components/DF_export_cloud_to_file/code.py b/src/gh/components/DF_export_cloud_to_file/code.py index 54d429de..a81ab7ef 100644 --- a/src/gh/components/DF_export_cloud_to_file/code.py +++ b/src/gh/components/DF_export_cloud_to_file/code.py @@ -64,7 +64,7 @@ def RunScript(self, # check that the i_file_path is a valid path and it has the .ply extension if not i_file_path.endswith(".ply"): - ghenv.Component.AddRuntimeMessage(RML.Warning, exception) # noqa: F821 + ghenv.Component.AddRuntimeMessage(RML.Warning, "Attention: the format should be .ply") # noqa: F821 return None if i_dump: From db8d69450376aea09af5422b284112a8e44b533a Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 27 Nov 2024 11:15:56 +0100 Subject: [PATCH 10/17] FIRST COMMIT: for next implementation --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 4032c2ac..ec2fac43 100644 --- a/README.md +++ b/README.md @@ -54,6 +54,7 @@ Open your Grasshopper canvas and search for the `DF` components! The full documentation, with tutorials, automatic documentation for GHComponents and PythonAPI is available [here](https://diffcheckorg.github.io/diffCheck/). + ## Roadmap ```mermaid From a888e99ea6ed9999bcd4d79a6cf7952b1a55551d Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 27 Nov 2024 14:27:53 +0100 Subject: [PATCH 11/17] ADD: axis for beam --- src/gh/diffCheck/diffCheck/df_geometries.py | 67 ++++++++++++++++++++- 1 file changed, 65 insertions(+), 2 deletions(-) diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index 44e502a6..8e335248 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -43,7 +43,7 @@ def __setstate__(self, state: typing.Dict): self.__dict__.update(state) def __repr__(self): - return f"Vertex: X={self.x}, Y={self.y}, Z={self.z}" + return f"DFVertex: X={self.x}, Y={self.y}, Z={self.z}" def __hash__(self): return hash((self.x, self.y, self.z)) @@ -97,6 +97,7 @@ def __post_init__(self): # if df_face is created from a rhino brep face, we store the rhino brep face self._rh_brepface: rg.BrepFace = None self.is_roundwood = False + self._center: DFVertex = None def __getstate__(self): state = self.__dict__.copy() @@ -123,7 +124,6 @@ def __setstate__(self, state: typing.Dict): if self._rh_brepface is not None: self.from_brep_face(self._rh_brepface, self.joint_id) - def __repr__(self): return f"Face id: {(self.id)}, IsJoint: {self.is_joint} Loops: {len(self.all_loops)}" @@ -240,6 +240,13 @@ def is_joint(self): def uuid(self): return self.__uuid + @property + def center(self): + if self._center is None: + vertices = [vertex.to_rg_point3d() for vertex in self.all_loops[0]] + self._center = DFVertex.from_rg_point3d(rg.BoundingBox(vertices).Center) + return self._center + @dataclass class DFJoint: """ @@ -257,6 +264,8 @@ def __post_init__(self): # this is an automatic identifier self.__uuid = uuid.uuid4().int + self._center: DFVertex = None + def __getstate__(self): state = self.__dict__.copy() if "faces" in state and state["faces"] is not None: @@ -313,6 +322,16 @@ def uuid(self): """ It retrives the automatic identifier, not the one of the joint in the beam """ return self.__uuid + @property + def center(self): + if self._center is None: + vertices = [] + for face in self.faces: + vertices.extend(face.all_loops[0]) + vertices = [vertex.to_rg_point3d() for vertex in vertices] + self._center = DFVertex.from_rg_point3d(rg.BoundingBox(vertices).Center) + return self._center + @dataclass class DFBeam: """ @@ -339,6 +358,8 @@ def __post_init__(self): self._index_assembly: int = None self._center: rg.Point3d = None + self._axis: rg.Vector3d = self.compute_axis() + self.__id = uuid.uuid4().int def __getstate__(self): @@ -355,6 +376,8 @@ def __getstate__(self): state["_joints"] = [joint.__getstate__() for joint in state["_joints"]] if "_center" in state and state["_center"] is not None: state["_center"] = self._center.ToJSON(SerializationOptions()) + if "_axis" in state and state["_axis"] is not None: + state["_axis"] = self._axis.ToJSON(SerializationOptions()) return state def __setstate__(self, state: typing.Dict): @@ -395,6 +418,8 @@ def __setstate__(self, state: typing.Dict): state["_joints"] = joints if "_center" in state and state["_center"] is not None: state["_center"] = rg.Point3d.FromJSON(state["_center"]) + if "_axis" in state and state["_axis"] is not None: + state["_axis"] = rg.Vector3d.FromJSON(state["_axis"]) self.__dict__.update(state) def __repr__(self): @@ -403,6 +428,39 @@ def __repr__(self): def deepcopy(self): return DFBeam(self.name, [face.deepcopy() for face in self.faces]) + def compute_axis(self, is_unitized: bool = True) -> rg.Vector3d: + """ + This is an utility function that computes the axis of the beam. + The axis is calculated as the vector passing through the two most distance joint's centroids. + + :param is_unitized: If True, the beam's axis is unitized + :return axis: The axis of the beam + """ + joints = self.joints + joint1 = joints[0] + joint2 = joints[1] + max_distance = 0 + if len(joints) > 2: + for j1 in joints: + for j2 in joints: + distance = rg.Point3d.DistanceTo( + j1.center.to_rg_point3d(), + j2.center.to_rg_point3d()) + if distance > max_distance: + max_distance = distance + joint1 = j1 + joint2 = j2 + + axis = rg.Vector3d( + joint1.center.to_rg_point3d(), + joint2.center.to_rg_point3d() + ) + + if is_unitized: + axis.Unitize() + + return axis + @classmethod def from_brep_face(cls, brep, is_roundwood=False): """ @@ -498,6 +556,11 @@ def vertices(self): self._vertices.extend(loop) return self._vertices + @property + def axis(self): + self._axis = self.compute_axis() + return self._axis + @dataclass class DFAssembly: From 1dc468abbb6f80d7c5246f0d66a8e4d4eade6160 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 27 Nov 2024 14:52:45 +0100 Subject: [PATCH 12/17] FIX: faster dfassembly preview --- src/gh/components/DF_preview_assembly/code.py | 15 +-------------- src/gh/diffCheck/diffCheck/df_geometries.py | 16 ++++++---------- 2 files changed, 7 insertions(+), 24 deletions(-) diff --git a/src/gh/components/DF_preview_assembly/code.py b/src/gh/components/DF_preview_assembly/code.py index 7a99cebe..6bf73ebe 100644 --- a/src/gh/components/DF_preview_assembly/code.py +++ b/src/gh/components/DF_preview_assembly/code.py @@ -2,8 +2,6 @@ import System -import typing - import Rhino.Geometry as rg from ghpythonlib.componentbase import executingcomponent as component @@ -93,18 +91,7 @@ def DrawViewportWires(self, args): ## DFBeams ####################################### if len(self._dfassembly.beams) > 1: - # beams' obb - df_cloud = diffCheck.diffcheck_bindings.dfb_geometry.DFPointCloud() - vertices_pt3d_rh : typing.List[rg.Point3d] = [vertex.to_rg_point3d() for vertex in beam.vertices] - df_cloud.points = [np.array([vertex.X, vertex.Y, vertex.Z]).reshape(3, 1) for vertex in vertices_pt3d_rh] - obb: rg.Brep = diffCheck.df_cvt_bindings.cvt_dfOBB_2_rhbrep(df_cloud.get_tight_bounding_box()) - # args.Display.DrawBrepWires(obb, System.Drawing.Color.Red) ## keep for debugging - - # axis arrow - obb_faces = obb.Faces - obb_faces = sorted(obb_faces, key=lambda face: rg.AreaMassProperties.Compute(face).Area) - obb_endfaces = obb_faces[:2] - beam_axis = rg.Line(obb_endfaces[0].GetBoundingBox(True).Center, obb_endfaces[1].GetBoundingBox(True).Center) + beam_axis = beam.axis extension_length = 0.5 * diffCheck.df_util.get_doc_2_meters_unitf() beam_axis.Extend(extension_length, extension_length) args.Display.DrawArrow(beam_axis, System.Drawing.Color.Magenta) diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index 8e335248..6c1f33b0 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -419,7 +419,7 @@ def __setstate__(self, state: typing.Dict): if "_center" in state and state["_center"] is not None: state["_center"] = rg.Point3d.FromJSON(state["_center"]) if "_axis" in state and state["_axis"] is not None: - state["_axis"] = rg.Vector3d.FromJSON(state["_axis"]) + state["_axis"] = rg.Line.FromJSON(state["_axis"]) self.__dict__.update(state) def __repr__(self): @@ -428,13 +428,12 @@ def __repr__(self): def deepcopy(self): return DFBeam(self.name, [face.deepcopy() for face in self.faces]) - def compute_axis(self, is_unitized: bool = True) -> rg.Vector3d: + def compute_axis(self, is_unitized: bool = True) -> rg.Line: """ - This is an utility function that computes the axis of the beam. + This is an utility function that computes the axis of the beam as a line. The axis is calculated as the vector passing through the two most distance joint's centroids. - :param is_unitized: If True, the beam's axis is unitized - :return axis: The axis of the beam + :return axis: The axis of the beam as a line """ joints = self.joints joint1 = joints[0] @@ -451,15 +450,12 @@ def compute_axis(self, is_unitized: bool = True) -> rg.Vector3d: joint1 = j1 joint2 = j2 - axis = rg.Vector3d( + axis_ln = rg.Line( joint1.center.to_rg_point3d(), joint2.center.to_rg_point3d() ) - if is_unitized: - axis.Unitize() - - return axis + return axis_ln @classmethod def from_brep_face(cls, brep, is_roundwood=False): From b34ac881c9df66e2324a646466c8998c8a313b06 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Wed, 27 Nov 2024 17:29:09 +0100 Subject: [PATCH 13/17] FIX: add output to component for better debug --- src/gh/components/DF_export_results/code.py | 11 ++++++----- src/gh/components/DF_export_results/metadata.json | 11 ++++++++++- 2 files changed, 16 insertions(+), 6 deletions(-) diff --git a/src/gh/components/DF_export_results/code.py b/src/gh/components/DF_export_results/code.py index a051167f..02abf349 100644 --- a/src/gh/components/DF_export_results/code.py +++ b/src/gh/components/DF_export_results/code.py @@ -3,7 +3,7 @@ import System from ghpythonlib.componentbase import executingcomponent as component -import Grasshopper as gh +import Grasshopper def add_button(self, @@ -24,7 +24,7 @@ def add_button(self, """ param = ghenv.Component.Params.Input[indx] # noqa: F821 if param.SourceCount == 0: - button = gh.Kernel.Special.GH_ButtonObject() + button = Grasshopper.Kernel.Special.GH_ButtonObject() button.NickName = "" button.Description = "" button.CreateAttributes() @@ -33,7 +33,7 @@ def add_button(self, Y_param_coord - (button.Attributes.Bounds.Height / 2 - 0.1) ) button.Attributes.ExpireLayout() - gh.Instances.ActiveCanvas.Document.AddObject(button, False) + Grasshopper.Instances.ActiveCanvas.Document.AddObject(button, False) ghenv.Component.Params.Input[indx].AddSource(button) # noqa: F821 class DFExportResults(component): @@ -52,7 +52,8 @@ def RunScript(self, i_dump: bool, i_export_dir: str, i_results): if i_dump is None or i_export_dir is None or i_results is None: return None + o_path = None if i_dump: - i_results.dump_serialization(i_export_dir) + o_path = i_results.dump_serialization(i_export_dir) - return None + return o_path diff --git a/src/gh/components/DF_export_results/metadata.json b/src/gh/components/DF_export_results/metadata.json index 15978295..7fb6d194 100644 --- a/src/gh/components/DF_export_results/metadata.json +++ b/src/gh/components/DF_export_results/metadata.json @@ -50,6 +50,15 @@ "typeHintID": "ghdoc" } ], - "outputParameters": [] + "outputParameters": [ + { + "name": "o_path", + "nickname": "o_path", + "description": "The file path of the generated .diffCheck files.", + "optional": false, + "sourceCount": 0, + "graft": false + } + ] } } \ No newline at end of file From 8b047e6845a2fb79e0fa5827aa008b9ce6ed9bca Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 28 Nov 2024 11:09:05 +0100 Subject: [PATCH 14/17] CAP-ADD: implemented extra info geometries --- src/gh/components/DF_csv_exporter/code.py | 75 ++++----- .../diffCheck/df_error_estimation.py | 57 ++++++- src/gh/diffCheck/diffCheck/df_geometries.py | 147 ++++++++++++++++-- 3 files changed, 227 insertions(+), 52 deletions(-) diff --git a/src/gh/components/DF_csv_exporter/code.py b/src/gh/components/DF_csv_exporter/code.py index 877944dd..2be51bd8 100644 --- a/src/gh/components/DF_csv_exporter/code.py +++ b/src/gh/components/DF_csv_exporter/code.py @@ -66,44 +66,29 @@ def __init__(self): "export_dist", input_indx, X_cord, Y_cord) - def _get_id(self, - idx: int, - i_result: DFVizResults - ) -> str: - """ Get the ID of the element """ - counter = 0 - - if self.prefix == "beam": - return idx - elif self.prefix == "joint": - for idx_b, beam in enumerate(i_result.assembly.beams): - for idx_j, joint in enumerate(beam.joints): - if counter == idx: - return f"{idx_b}--{idx_j}--{0}" - counter += 1 - elif self.prefix == "joint_face": - for idx_b, beam in enumerate(i_result.assembly.beams): - for idx_j, joint in enumerate(beam.joints): - for idx_f, face in enumerate(joint.faces): - if counter == idx: - return f"{idx_b}--{idx_j}--{idx_f}" - counter += 1 - def _prepare_row(self, idx: int, i_result: DFVizResults - ) -> typing.Dict: + ) -> typing.Dict[str, typing.Any]: """ Convert the results contained in the DFVizResults object to a dict to be written in the CSV file :param idx: Index of the element :param i_result: DFVizResults object containing all the values - :return: Dict of values containng as keys the header and as items the values to be written in the CSV file + :return: Dict of values containing as keys the header and as items the values to be written in the CSV file """ if i_result.sanity_check[idx].value != DFInvalidData.VALID.value: invalid_type = i_result.sanity_check[idx].name - return [self._get_id(idx, i_result), invalid_type, invalid_type, invalid_type, invalid_type, invalid_type, invalid_type] + return { + f"{self.prefix} id": i_result.find_id(idx), + "invalid_type": invalid_type, + "min_deviation": invalid_type, + "max_deviation": invalid_type, + "std_deviation": invalid_type, + "rmse": invalid_type, + "mean": invalid_type + } distances = [round(value, 4) for value in i_result.distances[idx]] min_dev = round(i_result.distances_min_deviation[idx], 4) @@ -112,8 +97,8 @@ def _prepare_row(self, rmse = round(i_result.distances_rmse[idx], 4) mean = round(i_result.distances_mean[idx], 4) - row: typing.Dict = { - f"{self.prefix} id": self._get_id(idx, i_result), + row: typing.Dict[str, typing.Any] = { + f"{self.prefix} id": i_result.find_id(idx), "distances": distances, "min_deviation": min_dev, "max_deviation": max_dev, @@ -121,18 +106,39 @@ def _prepare_row(self, "rmse": rmse, "mean": mean } + + # FIXME: find a good design system + # Add extra geometric info based on analysis type + if i_result.analysis_type == "beam": + row.update({ + "beam_length": i_result.assembly.beams[idx].length + }) + elif i_result.analysis_type == "joint": + # NB:: for conviniency, if there is only one beam, we add the lenght of the beam i nthe joint csv analysis output + if i_result.assembly.has_only_one_beam: + row.update({ + "beam_length": i_result.assembly.beams[0].length + }) + row.update({ + "joint_distance_to_beam_midpoint": i_result.assembly.compute_all_joint_distances_to_midpoint()[idx] + }) + elif i_result.analysis_type == "joint_face": + row.update({ + "jointface_angle": i_result.assembly.compute_all_joint_angles()[idx] + }) + return row def _write_csv(self, csv_path: str, - rows: typing.List[typing.Dict], + rows: typing.List[typing.Dict[str, typing.Any]], is_writing_only_distances: bool = False ) -> None: """ Write the CSV file :param csv_path: Path of the CSV file - :param rows: Dict of values to be written in the CSV file + :param rows: List of dictionaries containing values to be written in the CSV file :param is_writing_only_distances: Flag to check if to write ONLY distances or the whole analysis :return: None @@ -157,7 +163,7 @@ def RunScript(self, i_file_name: str, i_export_seperate_files: bool, i_export_distances: bool, - i_result): + i_result: DFVizResults) -> None: csv_analysis_path: str = None csv_distances_path: str = None @@ -165,12 +171,7 @@ def RunScript(self, if i_dump: os.makedirs(i_export_dir, exist_ok=True) - if len(i_result.assembly.beams) == len(i_result.source): - self.prefix = "beam" - elif len(i_result.assembly.all_joints) == len(i_result.source): - self.prefix = "joint" - elif len(i_result.assembly.all_joint_faces) == len(i_result.source): - self.prefix = "joint_face" + self.prefix = i_result.analysis_type if i_export_seperate_files: for idx in range(len(i_result.source)): diff --git a/src/gh/diffCheck/diffCheck/df_error_estimation.py b/src/gh/diffCheck/diffCheck/df_error_estimation.py index 4607e1e6..b9ab03c0 100644 --- a/src/gh/diffCheck/diffCheck/df_error_estimation.py +++ b/src/gh/diffCheck/diffCheck/df_error_estimation.py @@ -26,6 +26,8 @@ class NumpyEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, np.ndarray): return obj.tolist() + elif isinstance(obj, Enum): + return obj.value # or use obj.name if you prefer return super().default(obj) class DFInvalidData(Enum): @@ -41,7 +43,7 @@ class DFInvalidData(Enum): class DFVizResults: """ - This class compiles the resluts of the error estimation into one object + This class compiles the results of the error estimation into one object """ __serial_file_extenion: str = ".diffCheck" @@ -61,6 +63,8 @@ def __init__(self, assembly): self.distances_sd_deviation = [] self.distances = [] + self._analysis_type: str = None + def __repr__(self): return f"DFVizResults of({self.assembly})" @@ -109,7 +113,8 @@ def dump_serialization(self, dir: str) -> str: timestamp: str = datetime.now().strftime("%Y%m%d_%H%M%S") assembly_name: str = self.assembly.name - serial_file_path = os.path.join(dir, f"{assembly_name}_{timestamp}{self.__serial_file_extenion}") + result_type: str = self.analysis_type + serial_file_path = os.path.join(dir, f"{assembly_name}_{result_type}_{timestamp}{self.__serial_file_extenion}") try: with open(serial_file_path, "w") as f: @@ -135,6 +140,49 @@ def load_serialization(file_path: str) -> 'DFVizResults': raise e return obj + def _compute_dfresult_type(self): + """ + Detect if the DFVizResults object contains results of beam, joint of joint_face level analysis + """ + # check that source and target have the same length + if len(self.source) != len(self.target): + raise ValueError("Source and target have different length, cannot determine the type of analysis") + if len(self.assembly.beams) == len(self.source): + self._analysis_type = "beam" + elif len(self.assembly.all_joints) == len(self.source): + self._analysis_type = "joint" + elif len(self.assembly.all_joint_faces) == len(self.source): + self._analysis_type = "joint_face" + return self._analysis_type + + def find_id(self, idx: int,) -> str: + """ + Return the ID in str format of the element. This func is used during + the csv export. With the following format: + - beam: idx + - joint: idx_b--idx_j--0 + - joint_face: idx_b--idx_j--idx_f + + :param idx: the index of the element + """ + counter = 0 + + if self.analysis_type == "beam": + return str(idx) + elif self.analysis_type == "joint": + for idx_b, beam in enumerate(self.assembly.beams): + for idx_j, joint in enumerate(beam.joints): + if counter == idx: + return f"{idx_b}--{idx_j}--{0}" + counter += 1 + elif self.analysis_type == "joint_face": + for idx_b, beam in enumerate(self.assembly.beams): + for idx_j, joint in enumerate(beam.joints): + for idx_f, face in enumerate(joint.faces): + if counter == idx: + return f"{idx_b}--{idx_j}--{idx_f}" + counter += 1 + return "" def add(self, source, target, distances, sanity_check: DFInvalidData = DFInvalidData.VALID): @@ -215,6 +263,11 @@ def filter_values_based_on_valuetype(self, settings): def is_source_cloud(self): return type(self.source[0]) is diffcheck_bindings.dfb_geometry.DFPointCloud + @property + def analysis_type(self): + self._analysis_type = self._compute_dfresult_type() + return self._analysis_type + # FIXME: ths is currently broken, we need to fix it def df_cloud_2_df_cloud_comparison( assembly: DFAssembly, diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index 6c1f33b0..cf5a080b 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -37,7 +37,8 @@ def __post_init__(self): self.__uuid = uuid.uuid4().int def __getstate__(self): - return self.__dict__ + state = self.__dict__.copy() + return state def __setstate__(self, state: typing.Dict): self.__dict__.update(state) @@ -98,6 +99,8 @@ def __post_init__(self): self._rh_brepface: rg.BrepFace = None self.is_roundwood = False self._center: DFVertex = None + # the normal of the face + self._normal: typing.List[float] = None def __getstate__(self): state = self.__dict__.copy() @@ -106,6 +109,8 @@ def __getstate__(self): # note: rg.BrepFaces cannot be serialized, so we need to convert it to a Surface >> JSON >> brep >> brepface (and vice versa) if "_rh_brepface" in state and state["_rh_brepface"] is not None: state["_rh_brepface"] = self.to_brep_face().DuplicateFace(True).ToJSON(SerializationOptions()) + if "_center" in state and state["_center"] is not None: + state["_center"] = state["_center"].__getstate__() return state def __setstate__(self, state: typing.Dict): @@ -117,6 +122,8 @@ def __setstate__(self, state: typing.Dict): vertex.__setstate__(vertex_state) all_loops.append(loop) state["all_loops"] = all_loops + if "_center" in state and state["_center"] is not None: + state["_center"] = DFVertex.__new__(DFVertex).__setstate__(state["_center"]) # note: rg.BrepFaces cannot be serialized, so we need to convert it to a Surface >> JSON >> brep >> brepface (and vice versa) if "_rh_brepface" in state and state["_rh_brepface"] is not None: state["_rh_brepface"] = rg.Surface.FromJSON(state["_rh_brepface"]).Faces[0] @@ -247,6 +254,13 @@ def center(self): self._center = DFVertex.from_rg_point3d(rg.BoundingBox(vertices).Center) return self._center + @property + def normal(self): + if self._normal is None: + normal_rg = self.to_brep_face().NormalAt(0, 0) + self._normal = [normal_rg.X, normal_rg.Y, normal_rg.Z] + return self._normal + @dataclass class DFJoint: """ @@ -263,13 +277,16 @@ def __post_init__(self): # this is an automatic identifier self.__uuid = uuid.uuid4().int - + # the center from the AABB of the joint self._center: DFVertex = None + self.distance_to_beam_midpoint: float = None def __getstate__(self): state = self.__dict__.copy() if "faces" in state and state["faces"] is not None: state["faces"] = [face.__getstate__() for face in self.faces] + if "_center" in state and state["_center"] is not None: + state["_center"] = state["_center"].__getstate__() return state def __setstate__(self, state: typing.Dict): @@ -280,6 +297,8 @@ def __setstate__(self, state: typing.Dict): face.__setstate__(face_state) faces.append(face) state["faces"] = faces + if "_center" in state and state["_center"] is not None: + state["_center"] = DFVertex.__new__(DFVertex).__setstate__(state["_center"]) self.__dict__.update(state) def __repr__(self): @@ -332,6 +351,7 @@ def center(self): self._center = DFVertex.from_rg_point3d(rg.BoundingBox(vertices).Center) return self._center + @dataclass class DFBeam: """ @@ -349,19 +369,18 @@ def __post_init__(self): self._joint_faces: typing.List[DFFace] = [] self._side_faces: typing.List[DFFace] = [] self._vertices: typing.List[DFVertex] = [] - self._joints: typing.List[DFJoint] = [] - # this should be used like a hash identifier - self.__uuid = uuid.uuid4().int - # this index is assigned only when the an beam is added to an assembly self._index_assembly: int = None self._center: rg.Point3d = None - self._axis: rg.Vector3d = self.compute_axis() + self._axis: rg.Line = self.compute_axis() + self._length: float = self._axis.Length + self.__uuid = uuid.uuid4().int self.__id = uuid.uuid4().int + def __getstate__(self): state = self.__dict__.copy() if "faces" in state and state["faces"] is not None: @@ -374,10 +393,17 @@ def __getstate__(self): state["_vertices"] = [vertex.__getstate__() for vertex in state["_vertices"]] if "_joints" in state and state["_joints"] is not None: state["_joints"] = [joint.__getstate__() for joint in state["_joints"]] - if "_center" in state and state["_center"] is not None: - state["_center"] = self._center.ToJSON(SerializationOptions()) if "_axis" in state and state["_axis"] is not None: - state["_axis"] = self._axis.ToJSON(SerializationOptions()) + state["_axis"] = [ + state["_axis"].From.X, + state["_axis"].From.Y, + state["_axis"].From.Z, + state["_axis"].To.X, + state["_axis"].To.Y, + state["_axis"].To.Z + ] + if "_center" in state and state["_center"] is not None: + state["_center"] = DFVertex(self._center.X, self._center.Y, self._center.Z).__getstate__() return state def __setstate__(self, state: typing.Dict): @@ -416,10 +442,15 @@ def __setstate__(self, state: typing.Dict): joint.__setstate__(joint_state) joints.append(joint) state["_joints"] = joints - if "_center" in state and state["_center"] is not None: - state["_center"] = rg.Point3d.FromJSON(state["_center"]) if "_axis" in state and state["_axis"] is not None: - state["_axis"] = rg.Line.FromJSON(state["_axis"]) + state["_axis"] = rg.Line( + rg.Point3d(state["_axis"][0], state["_axis"][1], state["_axis"][2]), + rg.Point3d(state["_axis"][3], state["_axis"][4], state["_axis"][5]) + ) + if "_center" in state and state["_center"] is not None: + center = DFVertex.__new__(DFVertex) + center.__setstate__(state["_center"]) + state["_center"] = rg.Point3d(center.x, center.y, center.z) self.__dict__.update(state) def __repr__(self): @@ -457,6 +488,66 @@ def compute_axis(self, is_unitized: bool = True) -> rg.Line: return axis_ln + def compute_joint_distances_to_midpoint(self) -> typing.List[float]: + """ + This function computes the distances from the center of the beam to each joint. + """ + def _project_point_to_line(point, line): + """ Compute the projection of a point onto a line """ + + line_start = line.From + line_end = line.To + line_direction = rg.Vector3d(line_end - line_start) + + line_direction.Unitize() + + vector_to_point = rg.Vector3d(point - line_start) + dot_product = rg.Vector3d.Multiply(vector_to_point, line_direction) + projected_point = line_start + line_direction * dot_product + + return projected_point + + distances = [] + for idx, joint in enumerate(self.joints): + joint_ctr = joint.center.to_rg_point3d() + ln = self.axis + ln.Extend(self.axis.Length, self.axis.Length) + + projected_point = _project_point_to_line(joint_ctr, ln) + + dist = rg.Point3d.DistanceTo( + self.center, + projected_point + ) + distances.append(dist) + return distances + + def compute_joint_angles(self) -> typing.List[float]: + """ + This function computes the angles between the beam's axis and the joints'jointfaces' normals. + The angles are remapped between 0 and 90 degrees, where -1 indicates the bottom of any half-lap joint. + + :return angles: The angles between the beam's axis and the joints'jointfaces' normals + """ + jointface_angles = [] + for joint in self.joints: + jointfaces_angles = [] + for joint_face in joint.faces: + joint_normal = joint_face.normal + joint_normal = rg.Vector3d(joint_normal[0], joint_normal[1], joint_normal[2]) + angle = rg.Vector3d.VectorAngle(self.axis.Direction, joint_normal) + angle_degree = Rhino.RhinoMath.ToDegrees(angle) + jointfaces_angles.append(angle_degree) + angle_degree = int(angle_degree) + + if angle_degree > 90: + angle_degree = 180 - angle_degree + if angle_degree >= 89 and angle_degree <= 90: + angle_degree = -1 + + jointface_angles.append(angle_degree) + return jointface_angles + @classmethod def from_brep_face(cls, brep, is_roundwood=False): """ @@ -557,6 +648,10 @@ def axis(self): self._axis = self.compute_axis() return self._axis + @property + def length(self): + self._length = self._axis.Length + return self._length @dataclass class DFAssembly: @@ -585,6 +680,8 @@ def __post_init__(self): self._mass_center: rg.Point3d = None + self._has_onle_one_beam: bool = False + def __getstate__(self): state = self.__dict__.copy() if "beams" in state and state["beams"] is not None: @@ -662,6 +759,24 @@ def remove_beam(self, beam_assembly_index: int): self.beams.pop(idx) break + def compute_all_joint_distances_to_midpoint(self) -> typing.List[float]: + """ + This function computes the distances from the center of the assembly to each joint. + """ + distances = [] + for beam in self.beams: + distances.extend(beam.compute_joint_distances_to_midpoint()) + return distances + + def compute_all_joint_angles(self) -> typing.List[float]: + """ + This function computes the angles between the beam's axis and the joints'jointfaces' normals. + """ + angles = [] + for beam in self.beams: + angles.extend(beam.compute_joint_angles()) + return angles + def to_xml(self): """ Dump the assembly's meshes to an XML file. On top of the DiffCheck datatypes and structure, @@ -764,3 +879,9 @@ def mass_center(self): @property def uuid(self): return self.__uuid + + @property + def has_only_one_beam(self): + if len(self.beams) == 1: + self._has_onle_one_beam = True + return self._has_onle_one_beam From a7583ce96eb1d02932e0a90a394cf4e223fbf096 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 28 Nov 2024 11:10:16 +0100 Subject: [PATCH 15/17] CAP-TYPO: cleaning --- src/gh/components/DF_csv_exporter/code.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/gh/components/DF_csv_exporter/code.py b/src/gh/components/DF_csv_exporter/code.py index 2be51bd8..b27f5671 100644 --- a/src/gh/components/DF_csv_exporter/code.py +++ b/src/gh/components/DF_csv_exporter/code.py @@ -107,8 +107,7 @@ def _prepare_row(self, "mean": mean } - # FIXME: find a good design system - # Add extra geometric info based on analysis type + # Add extra geometric info based on analysis type here: if i_result.analysis_type == "beam": row.update({ "beam_length": i_result.assembly.beams[idx].length From e5b905e70e8f29fa95f1d2f94881ae97adef2608 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 28 Nov 2024 11:17:31 +0100 Subject: [PATCH 16/17] WIP: committing before solving conflicts --- src/gh/examples/assembly_beam_system.ghx | 2828 +-- src/gh/examples/compute_distance.ghx | 661 +- src/gh/examples/error_viz_tester.ghx | 13768 +------------ .../examples/error_viz_tester_components.ghx | 16140 +--------------- src/gh/examples/normal_estimation.ghx | 793 +- src/gh/examples/tester.ghx | 2720 +-- 6 files changed, 18 insertions(+), 36892 deletions(-) diff --git a/src/gh/examples/assembly_beam_system.ghx b/src/gh/examples/assembly_beam_system.ghx index a38d9c92..b0b4d5f5 100644 --- a/src/gh/examples/assembly_beam_system.ghx +++ b/src/gh/examples/assembly_beam_system.ghx @@ -1,2825 +1,3 @@ - - - - - - - - 0 - 2 - 2 - - - - - - - 1 - 0 - 8 - - - - - - d5e887b6-b770-4141-aafc-5d8da5356208 - Shaded - 1 - - 100;102;0;255 - - - 100;0;150;0 - - - - - - 638537389965512241 - - false - assembly_beam_system.ghx - - - - - 0 - - - - - - 44 - 99 - - 0.78300965 - - - - - 0 - - - - - - - 0 - - - - - not_found - F:\diffCheck\temp\test.py - not_found - F:\diffCheck\temp\test.py - - - - - IBOIS, EPFL - andrea.settimi@epfl.ch - Andrea Settimi - - - - - 3 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.8.24170.13001 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.8.24170.13001 - - - - - RhinoCodePluginGH, Version=8.8.24170.13001, Culture=neutral, PublicKeyToken=552281e97c755530 - 8.8.24170.13001 - - 066d0a87-236f-4eae-a0f4-9e42f5327962 - RhinoCodePluginGH - - - - - - - - 27 - - - - - 9c53bac0-ba66-40bd-8154-ce9829b9db1a - Colour Swatch - - - - - Colour (palette) swatch - e21a1698-c3e4-4e2b-93d3-6b294e27116f - Colour Swatch - Colour Swatch - false - 0 - - 255;121;64;255 - - - - - - - 876 - 111 - 124 - 20 - - - 876.63965 - 111.0538 - - - - - - - - - - 537b0419-bbc2-4ff4-bf08-afe526367b2c - Custom Preview - - - - - Allows for customized geometry previews - true - 5bf07fe5-2865-40fa-8a93-913fa72c51c5 - Custom Preview - Custom Preview - - - - - - - 1023 - 151 - 86 - 44 - - - 1095 - 173 - - - - - - Geometry to preview - true - d50bb1a7-9ae3-491c-926e-b458321f97f7 - Geometry - Geometry - false - c85939e6-bd31-49b6-8051-7f4e388b84eb - 1 - - - - - - 1025 - 153 - 55 - 20 - - - 1054 - 163 - - - - - - - - The material override - bcfe0c02-ddb4-4763-ab1e-3dad1a373c7f - Material - Material - false - 3006909c-e805-4c62-8255-1e8e709f8f20 - 1 - - - - - - 1025 - 173 - 55 - 20 - - - 1054 - 183 - - - - - - 1 - - - - - 1 - {0} - - - - - - 255;221;160;221 - - - 255;66;48;66 - - 0.5 - - 255;255;255;255 - - 0 - - - - - - - - - - - - - - - 537b0419-bbc2-4ff4-bf08-afe526367b2c - Custom Preview - - - - - Allows for customized geometry previews - true - 9a94cc6b-9644-47f9-8c58-2f2ab4354d2c - Custom Preview - Custom Preview - - - - - - - 1027 - 86 - 86 - 44 - - - 1099 - 108 - - - - - - Geometry to preview - true - eb874ada-ad47-435e-a4c1-24fb8d4640d4 - Geometry - Geometry - false - 3212063a-9455-4e0d-9d9a-e22a4bafda0c - 1 - - - - - - 1029 - 88 - 55 - 20 - - - 1058 - 98 - - - - - - - - The material override - 965aa5b5-ecd9-4f5c-baac-8e60df11af91 - Material - Material - false - e21a1698-c3e4-4e2b-93d3-6b294e27116f - 1 - - - - - - 1029 - 108 - 55 - 20 - - - 1058 - 118 - - - - - - 1 - - - - - 1 - {0} - - - - - - 255;221;160;221 - - - 255;66;48;66 - - 0.5 - - 255;255;255;255 - - 0 - - - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 339266f0-2362-4309-95c6-49cc7bf5056a - Panel - - false - 0 - 0 - test_name - - - - - - 171 - 178 - 91 - 20 - - 0 - 0 - 0 - - 171.56699 - 178.15656 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - da566c9a-242e-4f9a-9d79-924508ca764b - Panel - - false - 0 - 0dc0a83b-9dd1-46f8-9764-98720c7595d9 - 1 - Double click to edit panel content… - - - - - - 1140 - 118 - 84 - 209 - - 0 - 0 - 0 - - 1140.481 - 118.96353 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - 919e146f-30ae-4aae-be34-4d72f555e7da - Brep - - - - - Contains a collection of Breps (Boundary REPresentations) - e96ace3f-1930-4d2a-ae94-1a0648c7d34a - Brep - Brep - false - 0 - - - - - - 206 - 200 - 50 - 24 - - - 231.88025 - 212.31995 - - - - - - 1 - - - - - 9 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7L0HWBQ71D9M7713UAEVlSJSFNkdBhUFVBABC1U6IgqIiqIgKGBHFBQbir1j7zLYC/beqAJ2URBE2n+yTHSMO9y7z339vtX3nefJvc4kOXt+OTM5OSVBQFBAQKCdvMD/wSUjRP7Ha1R4RPRkx8mTJk2O7m3gFRIbFzE52t7W1Na0bz8LG3NTC0tzc4veBo7xUVPjY0Pso0Pip8YGRvU2cIufEBUR5BKSMHryxJBoeyurvn1tLUL62wTZWFlZWZqLgh9R5tA2dQqZPClkamyCKR4bMkWEfC4+reNnpAJjg8IjpoVYBk+SnDwlJDo6PnZCnEhw4NRA0EhCQkIIcKjQXUCgL/n/3gkKMpLC5D/kwX8CrgkKCH1LEhIYTf4DXM3tQgIqFDLHc5NrTTZLDFn/ePvdCzdNrHu07RnQQtbrUG37CiQLYF0COhorzCD/A54DamcoCnRqmor7/dyl7ysWtgkopAp2rXXWSlAH1OZT9QqAS3CB/8N//7hq2b886nheiD6h96263s+vYGQl+1d6P+rg/et5r9e3Jwklw3u+A7NgzYy550Vec8CgzMN72MZJL/stX4OhSwb+u1fRw8D6wWYYbAPvzXffcuJrMNk0yaDMw/sUm8KeO470wZR3l2jyJRjIIGScLhlYh0oq++vcYr4E82Tv9k/jjXpjkHE6mKdUHQpOXLn+Gl+CMTfMPCGfbYJBUHQwFlQdCs5G5QnGl2DSOd9KTwyCEvpl9uqJoeC6d7kSxpdgShUCh02f2h2DoOhgyqg6FNyixJhgvgRjkz5MsddLIwyCooOxpepQcEGVY2fyJZilrRZPSjwMMQiKDmYZVYeCa3kl0MCXYKritDZlne+KQVB0MNVUHQruUdz8uXwJhvVGKGKIZRcMgqKD+V6HgFOwHy/Gl2A6FKE+Bhn/dTmj/x0MbFO01GMoX4Lp0B061ApAn4vS1EFWAPqY+7qFr/gSTAZnutXEIOO/6hlNRGnqYOGZTnf4EkzHLKaKQVC/Ts2qiJ7RxGyOlSjzJZgazketRE3Nqj+BgXUouLI9DpV8CabjO5DHIOO/TgDy38HANstmErv5EkzHqyNJTQDyXL4ZSWQCkMd6DzWawZdgXnFGWwiDjP/6mgkh34wktlFw7Gi+BNPBYBMbgvpVMk1sFFyF0wd7Pgbz+jvjv4J5/R0MbFN/dYjfH2M2wwuCQfu5J4ut4UswT7mYzT+DaWKj4HDbKVP5Egy0HiEoOj34jaDghqcFK/IlmA7N3xODoH6VjCSGgtO02FLCl2Cg9QhB/eo3k0ckI4kdOTdMji/BQAsTgvr1NVNCPJry2NPw0ZP4EswyLmYzvOBaDAU3wNgxmy/BQOsRgvr1m9HEUHDTG6xO8SUYaD1CUHR60H5BwW12S2z5Y8xmeME6FFy8Ut6XP8ZshhcEiIL7Gm27hy/BLORiNsMLvnoouG3mCS58CQZ+1BAUnR6cFFBwMy/e5k/jrINBJQyC+nVqNsJQcPsVVd35EkwfShFCUHR6UJGi4Azs7z/gSzAdr5ckBkH9qmd6Yii4SQ5HZvElmHfU4hGCotODi08U3HbDY/xpNi+hlvUQ1K9KszeGgsu30TblSzAwygxB0elBgw0Fd77WI5IvwXSWocHdB/Ca7fPuaDNfgqEYhXXJ3BwaKLje4U4X+RLMP0vmh6sJ3qvmP8r7QyWDOjSa2CHGxpv4EkxnkkE9mvD+vsiI8X+cZFDvDLzfklwYwpdg/vmb+eE4h/eRG18u/UO/mR+uJnivZahawJdgOpMMGp+B91fYAcV/nGRQvxm8P35q+We+BPPPs9mPMCC8X+9sxv5DZ7MfTkB4//5miSBfgulMMmi0Gd4ft6gf9cdJBvVowvsrR0Sj+BLMP+uZH0kN8L7bh/lv/lA988M9C+89Iqfe50swnUkGzZ2B9+YCux78cZJBfc3wHps3/s/JOIcXmqIF7+fGCO74Q1cAPxzn8P7Tl9ocvgTTmWTQTEB43yf6fu8/TjJoFADe+74xUuJLMJ1JBk04hfftrcIlf5xk0JDG95BhwucyvgTTmWTQvGZ4X5Aep/fHSQaNz8B7QjjFgC/B/POq+Uf6PLwPqvRu+0NXzT+CTfBeOWwbwZdgOpMMuksD3luvGGfzx0kGjZzB+yHquyX5Esw/2zM/NgPB+68DjYf8ofbMjzAgvM84/og/s2c7kwy65wzeD7FaOvCPkwwa04T31geShPgSzD9bmj+2NsL7t3clE/5QS/NHgBber/X66vTHSQbdQQvvB+870OuPkwwabYb3ViaY6h+XpA0vg96Cx8cOLSXp7n8+PFmj8KGMhzpfgpnDAWOPjWq5NvjmbFYHmHdvtV/2WsLG9r51bThZ8Au9j69web4Esyv2kGzK+4EYBAWelQ33T0tyrSjcOO9qWJjaVTYKLldAkz99zQ85M9RADIICz6aEq2weWkB+R5jaJd3zfdkouOm7pIT5EozQ67UPrHztMAgKPLtv5zWt+3wVAoJBwY1zMubP5DlTjlYfgEFQHHpXvp3ou1WF2Dgue4nxjAtsFFzUaP9VfAlmnP+89a+L+2PfQZHPhtQuXf9AWJ1IPjBEd0X1djYKrifrkRdfgknjrIT7YxAUePYUq/1U1KRGCCQPlJkz0qAQBbcsIWsXX4I5+CAqZP1AWwyCAs9SP7ifGOKlSYI580TumjEbBXfd04w/001KONajDQZBgWdH7808iZFgJLQU/Q9XVLBRcIGLgmL4EoyUq2cf9z3WGAQFno3cKFu1ql2esN1baHC4vIKNgivv3UecL8FYczwuVhgEBZ7Fli143ySuQNTOEVN7t7mcjYJjL1F/zpdgJpyz/yKiY4VBUODZFc38KfhYaSJ5mFCRddszNgpuaX7KCL4E03FCQz8MggLP9LqY7d6rJU1sbAyUGFVawUbBrX5hzZ+nm5y0NT5zfJEldexEPw4Y6fIJOV9thIjVms9GvnhZwf4F3JqcJL4E0+HZ74tBUJxJoeqt8T1JISJAdWPrhtfP2Si4x9aXtfgSjNJ+uflRzRZU+nxfDpivk5yur1jyrbB2Q4NPRk45GwXnHVFox5dgOqJhFhgEBZ7tYfVdqrPtW+Gr1f6Vs8ipGAXXK97YiC/BRBo1uhpMNKd2NnWASX51e+JJ0rIsM7cITy2rYKPgXr7xMedLMNBchqCEuJjJKLjHPXrzp0MDXplcDmuD14wvGXMLRoNj9ZKHu97YeXYOfqD0D3JoiESsSlAqDE9cG+5Eany03+iHUlJ/zK7zLT3kX6+2J1OAT7AEEyoBmJ/BzZJhb/tjdp1PqTZd9sRECAtodFMPry9jo+Bebpe35kswC7jsOo+9VVBT/V4ME2izfWm87RkbBee2UfkEX4KB0TAIiqM0x6Xpp3YVx74OkLLFqyvYKLiakH4T+RKMLZdd528tqyMqauSxx73kD46oIZUmAq7HdcnhfAkGxvYhKPDsrKXfaE95Baxsr9D67NEv2Ci4u7Y3dP6YXeduAgtGukUqYQUnrryx9axgo+Dqeo1J+WN2nS+8+HJcaKgSpmD/baD6mwo2Ci5TN0fnj9l1fmDUtqoTztrY7ecCDg3ka4WCG/dyV9sfs+vcfsfJ8GISjEBZf4uEk85sFFyuWuvzP2bXedCh0qZrk8kU4ADrBdGyQ9gouMqkgPg/Ztf5iu4hPvenkmDaTMwit69mo+BM1hgt/2N2nY9Jr1ExU1PHNi6IaihbXsRGwWEVa5/+MbvO963Y/HRRsxoZy3QqLKuzYqPgSm+G8Kd3JoPLrvN5JasXJabUsSEYFJzbg22P+BIMPNcMguKs13wGZ/U59Zm9cdWV2jn9i9kouIaNXbvxJZgMLoe1DT3YKw8/UsEm/CY4y7cdZaPgclMqQvkSDDSXISghLmYyCu6+9+CfMjQeJrXtAn8sQHUAxeBAGkJdwX+PsAoiBH+8AFzgDyGI/AeEYtwbci6Y7YD+H/7ePUE14mux6tGEAhfMkry8eiljp0+dOlUWqkoczrhz5Vu+C7YmNzd3SIwyNmP69OkfrqsQUwYteTYr24WTOWFzTBnrR/ZrMVchegsM+9CS7oKFhYaGdm9VxswiUrjG628I/PvBykYH63f9MQImEPD5xdyKZukDHc9tv6pi90QC3PkSHOVNIShHBCHUiaTJx8kF01SIrND9T0IrOOCqU3soYQ4fru/jS3DcXEYAzKBPSkBCIiEFHa/rYxIck0RDQp4U8SU4bi4kIJGV35QIf8vExvOHOr453UhljAm0EjZAgi/BcXMpAaZtZykCCS1xfd/xWnqUKmFMoKes2n2ZL8FxczGB1+2OnyIAcXRQZQeINEMljAm0/t5Bw/gSHDeXE5DQba/GQnLiSJg0ZjgHXHNvUYwJdEOGM39OKNxcUOTEceidSGMh+W2t0w8dzgG12FAMYwK9sGfdHb4Ex80lBUC8b6gtJCU0xGoZB1z1uFBhjAn0gCDnRr4Ex3AwYvI+hU9AQj27LRqO3SguLvbUE8aYQKts8hfiS3BMByX2VqguJJX47bpTHHCu8kaCGBPoJV/Nr/ElOKaDEylwZUJVHeAstEUxJtD9z/RZx5fguLm0ANN1MYJgypeWM+yYOMTfymBMoCViD6TzJbgFXFxcpPo6lBwmCNaQn4S7drx+czfJYEygXYfrXOdLcNA7BEFSKxTNkZEiQJ/pBb925SjvVQ9lMSbQK7O3CvAluBouLjAw5Q/JEgESspzxyZUDYneDHMYE+oGEw2S+BMft7xeAy4UtBUDcPJrdAeKYtyLGBPqgrrQTX4Lj9vcMwHXZRwqA8LBc2AHC7I0CxgRaWrg+ii/B1XD5+wbgig+TBSCcb/t3gHOy7zh6hhvoT0TFW74EB89igyChVbDBnwOuwSCIIyHNhb4d4LiBlhqmaMfH4H7++wdMvhIm0OYjzD34GdxP+4agD4Wc8s9nPHHhuBfCjDvO3eHmW3FLNp3Dx+CaCiFI+FoGmCoAEGMEclw5oI54KmJMoBdEaw3mS3DUt0ZAkBCcXz8OuDLJ5a4c5X3ASBFjAn0mmPu26f/fwVGzJAFBUmvLYjk/WQDiVdQpVw4oy63yGBPoWnWT0XwJjtJvlOQkOeAAiEkDOeDMc6506LOKkQoYE+gJ+lLn+RIctTIhIEjwbC05Cxrni4PZcpBVt441ZEq9DMYEelBMlBVfgqPWlNRrqfQdXJ8kcTDlD7HUGc6ZOD41SWNMoBUqfBL5EhxlDRAQJHwt7yWKcCT0eHSHr2T8JSmMCbTEpLJRfAmOsuOob06TAw4skO/OFQES0rnu2SGhF6+kMCbQbZJiqXwJjrLACQgS0otx+QwcQduSZEdwHEFLp3d4v7iBXmq8RJsvwVG+E2pC0f8JHKmsc6e8HM6ZOJ4ItbOZQMctN3TmS3CU14uAIKGe05Pk+CcXq5/tkNBuOY73iyvobkZKB/gSHOWvJCBI6LdktTRwnK8GRIcjaF9fQYwJ9PmhJ6T5EhzlaSYgSGgV2Eu1FpJ2W53Uqg7na2mtMMYEetx6YgRfgqNiBJQqMPr+WnqPaAXf1iUfyvl6W5szoXAFPTI1LZYvwVHRHQKChK49+5dKwOJeNESVY5S6WnRRxJhAh9Zf5s9vjorLUXquJ5Scq6yIMlDW31YYcBbIllidIsYEuppVqcOX4KiIKgFBwgklIpVjiQdL13TE4aTmKGFMoA2L9o7hS3AwiwGChOC4ZS0wgdZ7OJvrwTF/dNIOapHDpJ0RXSc+lCzuSAjwjlL9nrQjWWL8euHZjkEZelCVMa/ldv4Usb9msJgsfC9PT88jvvIgk8lGen6HcbxtryJW8uLFi51+ckTNKRF1tamuGNk9dLWoEqMDS3X9poN/1WBx8xgszMjIGBkuD96UMZuSXTlvWmWKIjZ40KBBFWFy4E28YzvFFSNvL6iWKTK6MtUz5if9NYPF5IFYQA7WJl8ZQqrEOFBkd8dgXTcjjXfy6ucrTWh/tHm6dk3HYLUuVmB0agcYf/P7awaLyaPx8cOHD4H2MuAzlN90zJXzRt3frsCZs7xY0uAz/Lh7mytWS7a72M4c3tg4fGv3v2awmDwkhl275j9bJwY+t9cblYZj5OPiqjxZbPeuXSbLV4mCQVkqI9TxfKiLHGOga0iA0uO/arC4eVzINybadoYYZ1AcpYdzJvx7q2XAG3bBMYYzWA89vrly3rQjNrKMIc9Bhacv/TWDxeTBIQfnwbF4YeLhrrqL1Y7DMXIKyzgTLM2Zs9ZFC4E84PFf+g7HdpGXvrAMY/A7LfzQmL9msJg8QuSEbpeRKAzAF1kPHs5ZMmArpTlvlv10IfAGheb3G86ZszazmdMg7HZunvLXDBaThwk8dyv8CJwzJwQERnDmpMnCIpznZ2veANO/eO5nzqAkuy0TYUyIMSiwX/LXDRY3Nx0YLPJz2/3p4XCsKznhD5cV+D5Y5Od5JvbqcM6cZZorwJgatX9/9eW/ZrCYPGDkOktii/QXMFgTtfdyBqvrsrOCnDmrp1xd4ebphLP+uo7Bio0WYkySy0m+8VfZhlw9auQgNM74Vg8GxeTu/o7PLeuDIEdLHvr6uXCu54bjqXkc7Xlo2i4hxnTJdlcrt79msJg8dGAQpks0F5Ir+Lmn04ZjSoqKihf2iHCWFgfFmgrJRal89LThHEWwI1yUMXH2yr3BH/6awWLy+IGlg4l7cyG5gveeMLNj/dWvWJijFVs9msCb9SosomOOW5UowphCfVN5kdFfM1hMHkRg7kRPUCLsFccNWiviyhmk/OmKnBX8xjJF4Lpp/VjnAtpFq9xUZEym95xqUfPXDBaTRxIYztpzlcCg9EqU73j+yUGJM1gmbYpgEH2C2zrSbfIzmbdV7ClY1OOvGSwmDyeY4KcLqBDkBJ9d96Dj+aliJc6blDZbmSA/w0vPLnQ8j9JWZtxg423+6N1fNVjc3MTgzSqvVwaDlXXqjgtnifCFGkSlOGVg7rgoFLlwlhhhD5QYt1p5Bk3Log+W0GeJWLBB1LsbNQBqtBHM5TKC6lcCnCppI7i7x9KzYAQDBbmMIHB8w///fzmS3HbdSXQyup1tKuU26p1sNuUqDaZNqLzuAnzX9DaA26v+RwsKXjA5U6LzvZ+dBhJQgfxTgAEVyD8FHv7tRtvjdytf/nWCQrNn6YJCBcIUxGASCFNwg0kgTEEPXrN5X48/5/WXCupHDjcQFJNAmAIoTAJhCqwwCYQp4MJrTrnkhOE9/zpBoTsJoKC4CYQpeMMkEKagDpNAOgv28LKzocL0iuxfJyh0P4vEPyQxcwscMQmEKaDEJJDOAk287K9xDvd2+OsEhe6qgl8UN4GsYQhaMQmkG0Mwi0kgTEEuJoEwBb+WpTnd++sEhe7tA4JiEsgahoAZk0A+MgTSmATCFGDjda/haz+BjL9OUOgOUygobgJhCtYxCYQpiMckEKbgHq87Xhd3NTv81wkK3ecMpz5uAmEKFDIJhCmAyCQQpsAir/uuXzasOP/XCQrdbQ8ExSQQpiAlk0CYgpdMAmEKavK6+z8ud3LhXyco9MwHiX+IGncWIOUWTe4scMotyvwPAdV/dQaFz83B8X+doNCTR+iCQgXS2Z4MbgJhCtoyCaSTYC5PJ6E8j1sq/NcJCj3/BtpRDALhGhhmEghTwJhJIEyBZCaBMAWYzx4c5frXCQo9hQl6z7kJhCkozSQQpmA1k0CYgti8ngpl5pm3+a8TFHoWGLWY4CqQTvb9cBUIU6CcSSBMAXRezyY7f0JgxV8nKPREOjj1cRMIUzCeSSBMQXomgXQSvOfphLycA65/3xeFnoso0fmmMq6JAEwC6SxBgJtAmBIHeD2n0f3GoqC/TlDo6ZzUF8VVIExJCEwCYUpOYBIIU9ICr6eFHrXOqPjrBIWeEQsXE9wEwhSiZxIIU4ieSSBMIXpez6wVmyY+iZugWgV+FVTp/UcjnF7fUyys6hBU3KPHjUBQF6l6RaYfyXC2PHlrysvCbnsuuBTvfFnYFv7UUPnSU7ZAcv6lKs9vLLWX2Fep0HK208GwwWOevWFf3rkitHrDq8K2Hc7Ys+7l7AVDZMu+9H9YyPT82dLwTZK72cQay0cthus0iaZ1SqNG3itnzxIrZeufnlf45k7T/SvWlex/qv82omvQ/9hgMMX+V5yyLiQHg73PPnjjlJ0v2Von3KRNLz8tFMhcpt9HUIUtZV4vMoMcjDUXh61XJAdjsueaABI0O0F7ojwJutDTIXJ5Q/+HjM+L3C6ekeyCYardNgy1STxQePHY4OJdmdrYLOfSxKGz5hVO+KJxTmhgJfuf6v1jH/10PufLHdXeIMWmJ/XaK/SgfTbcgNK3ooJ0HPqoMiUiCNPagH/7yC/R6XcmiUXtiOb6doF2wtS0YEf7HfCM6XOA7UXJAs6Ul6xcdNJvny8LPGOa64Sp9mD66E+WMzHEzkDneSzwjEmRCVPtxcliS5YpO3KOf6mcwwLPmFYpwlR7MM42YGxtzbYUWGazwDOmJagw1V6SLNZkWf5JdFfIliwW5Tzlal8IU+2lyGJFFk391XGpR9exwDMm41GYai8NeCFLr2anCYrvVrLAMybPgDDVXgbIkCz1fQovyNhnsaR/7vOT20eYai9Llr40mYJnTD49Yaq9HFksyLKo5/Y1+2SXs8AzJoetMNVenizm4L27ONbhTvF8FnjG5I0XptorkMUMjHePjCcXcjNY4BlTqEWYag9mBVOy3L26q91sajoLPGOKowlT7ZXI0geM4YKA6L7dl7E4MwtDkFSYaq8MxpUs5+J9N+CJvVjgGVMEXJhqD2a2XmQ54bjU5O6GeBZ4xpTeIEy1VyWLCRiH5UOsBxuvYIFnTLkrwlR78G33pMkUPGPKvxGm5g51qs/Z4x9GxOexWGqdpIIIU+01KN4CTqv0rPAcylLvJCtBmGqvSY3BKL8DETpyWSyNTgLkwlR7LWqsn5dJrvMuXcTS7CRWK0y116Zkuv7Z84nTkuJZWp1sPhSm2utQ747n9b7+7oYxLO1O9uAJU+11qXf01quKE9/yZrN0OgmmCFPt9ahvQXWrZkm/3ECWbid+fWGqvT71zcELPGNyMQtT7Q2ob3vj+WdvlpC86Xfi7RSm2neh5hB4GXTieBOm2ncF/IN3X8DOMPJaLAs8Y/IBCVPtu1FzYp+SUz3utpuwunbijhCm2htSc++5WeN6ty3yYHXrxDIWptobUXP8232mvQTFp7MMOzHShKn2xpQuWdY2zrZpehDLqBN7QZhq353SWS7pxj4fWmJYxp0sXYWp9j0o3WhR8ExEPGoqqzvVh9uyVphqL0Tp4PfLVttIlqewPDJitoFFw2sF2h9u4XbBdbYANUHA9b1QJ21BO8pG+H7B5D7wXIXqD/4dRJYvrb26qR1JYqFt6WdloH/BAzzrTtUDkMFkmT6tV1+r5ykstC1ciAgw/LEMiAssMtxo/KBt6UnbqM0B6EN+wcLDnSylxwfOvrzNl4W2BfWgCHAxMgF9SAssRkaRpcj58QCLwfNYaFsxms2EehVEafYYWKB40OigbUE9KAJc3EiAvihFByxaRoO2prELB5lms7i5nGBoBPUbAvpiFB2wkPGk0UHbgnpqscPVUSxO0QGLGy+yNOzKzu21fx0LbQvq4QIIjQwA+hIUHbDg8abRQduCergoQkNBgL4kRQcsgsaQZW7d3txj1StZaFtQL/PT+/wj9gfoS1F0wMJoLFkSnVbun2CbxULbgnrZn97DH8FeQF+aogMWS+PIkjCsm/YoyeUstC2ol/vp/fkR3Qf0ZSg6YAE1nkYHbQvq5X+S+490DkBflqID5hofspw/7Wg3c0UGC20L6uHCC83fAfTlKDpgoeVLo4O2BfVwMYYmbAH68hQdsPjyI4vjbcG7A/SXsdC2oB4u0NAMPUBfgaIDFmT+NDpoW1Cv/BOuHymZgL4iRQfMiwGATk7VLufceBbaFtRDMxfNwQX0lSg6YOEWSBYNQ6lE/y4rWGhbVdriDk26BvSVacbhhF/o/GirRjMg0dOBIX1AByzwQsAYzYiL2LiKxULbgnr1n3F9P4gX0Fel6IBFXyhZjgx3q9kxcigLbQvqNX4e5+9n3gL6ahQdzkKQLGKbN3vOkcxioW1BvebPcv9+vCygr07RAYvDcBodtC2o1/r5Pfx+kiugr0HRAQvGCLKIngy7av14EQttC+q1f8L149BUQF+TogMWkZFkya7EPjUkwPfnR1tQD4oAl/NJAX0tig5YWE4E4zXmjEnY6tkstC2o1/1pfH4cBQroa1N0wGIzikYHbatHW5Cip24C+joUHbAAnQTeb+PH+w+vDGShbUE9XKSiB1wC+roUHbAojSbL6IYF07+tms1C24J6UAS4nCUJ6OtRdMBCdTKNDtoW1FOL2V+ObQT09Sk6YPE6hSzvCh7WrL0Yy0LbgnpQBLickAjoG1B0wII2hkYHbQvqqf1XvxxGCOh3oeiARW4sKAuco9vSPFhoW1APigCXc/8A/a4UHbDwjSOL9GmdpbqC01loW1Bv9NP78+OIPUC/G0UHLIan0uigbUE9tWD+5TQ7QN+QogPWifHgvdxWumf01xgW2hbUU4voXw6OA/SNKDpgIT2NLHcyuzbfCJ3KQtuCeuh8Q89oA/SNKTrAYJ5OW6+ibXsihjh9ba1KWz+bUEaxAENbUG/CUKdGm+d7U0YvE51eXH4H1qnT9I4pZdQy0QG/05uhToOmB80RoxVt24cLv7BOk6aX+yJGKdoW8GvKUKdFWyf0o4xOJjpmXHDDOm3ausWaMiqZ6ADc5gx1OrR1lC1lNDLRseAyfrBOl7auG4A4ZtG2fREnH71Oj7bOBLajfSd0LLnIAdbp09a9wADkFiyCbYEc+jHUGdDW4cBiduiEjhUXecK6LjS7ACeLYyd0gDytGeq60uyUQWQZ3AkdGy7vBazrRrObhpDFqRM64L2wZagzpNlxQ8kyrBM6/bm8X7DOiGZXOpPFpRM64P0awFBnTLNzXckyvBM6dlzeU1gHfQCgjCDLyE7oXBKrbOE4PaiXVWFGJ43hPXRkQAcB6tjorO+/vVCHCd1ZAh0mkAfRf+AB9uWVB7qzhZvjB/4fOiYEfsM40B014MqmOYIEaEoaOn06u2BfXnmATh7U+QNfVvr7AJ046IX2/affvKtrueHM16p2+H/oIHqCOI7oziE6D9C4pF9oX155gM4lc8pJBOlBxxI9iihKM5TpF9qXVx6gYyqdcjBBetApJYLwAI1++oX25ZUH6NQqpZxTkB50aIkiPEAHBv1C+/LKA3SI2VCOLUgPOsPEEB6gM4Z+oX155QE605ZSTjFIDzrSxBEeoGOJfqF9eeUBOuKqKIcapAedcBIID9BJRr/QvrzyAJ140BkH6UEHniTCA3T40S+0L688QAcg6hiEzj8phAfovKRfaF9eeYDOQ9SpCB2H0ggPkCf6hfbllQfoeMxAHJLQ6SiD8ABlQ7/QvrzyAJ2WHe+0KgbpQYelLMIDfEfpF9qXVx6gwxM6LiE96OyUQ3iA3yr9QvvyygN0lqJOVOgolUd44LaGQPvyygN0tKIOWOhkVUB44Ka/0b688gCdtK8Q5y100CoiPPx6CtCvfXnlATp4oaMW0oPOXSWEB25rKbQvrzxA5zDqNIYODGWEB24BRbQvrzxAxzK6HoNOZQFkPSn4G9Zy0CmNBgGhQ5ruKKev7egX2pdXHqBDGw0gQme2GsIDt/cB7csrD9AZnoEEH6EjXB3hgdt3gfbllQfoSIeBRkgPOtE1EB64zQ9oX155gE54uAaC9KADXhPhgds8ifbllQfowIcBTkgPOu+1EB646Qu0L688QOc/GmyFjn9thAduehPtyysPMHCABmph0EAH4YHb+gHtyysPMOiArsdgwEEX4UHqN6zlYMACXY/BYIUewoP0b1jLwWDHQmQ9BgMd+ggP3NbVaF9eeYCBEhhIhvRgkMQA4YGbfYH25ZUHGGSpRoLaMMDSBeGBm52F9uWVBxig6UOtgSA9GJzpivDAzd5E+/LKAwzudIyjJAbpwcBON4QHbnY32pdXHmBg6B21BoL0YFDIEOGBm/8B7csrDzCotIRaA0F6MKBkhPDAzQ+D9uWVBxiQgj41SA/wBfmg88DNH4X25ZUHNJgFfYyAL7imFOh0I8qvfXnlAQbCqP7fExh60rJu6T5SbutJtC+vPKBBNHqwDwb16OMg/BvGAQbgUCwm1O+rIeMg9BvGAQ3e0YOVMChJHwdu60m0L688wMAfiqUX9fvqyDgI/4ZxQIOG9GArDKrSx4HJZ03vyysPMOCIYulN/b4GMg4iv2Ec0GAlPVgMg8L0cfg3m8145QEGOlEsfajf10TGQfQ3jAMaJKUHu2FQmz4O3Nb2aF9eeYABVhSLKfX7Wsg4iP2GcUCDs/RgPQzK08eBm32B9uWVBxjYRbGYUb+vjYyD+G8YBzQoTE82gEkF9HHgZuOgfXnlAQaUUSzm1O/rIOMg8RvGAQ1G05MlYFIEfRy42VloX155gIFsFIsF9fu6yDhI/oZxAMkaAxmSPWBSB30cuNl6aF9eeQDxd3suWPpSv6eHjIPUbxgHkGzC4oIFzN8wKYU+DtzsTbQvrzyADmwuWCyp39dHxkH6N4wDMAYwhmQbmFRDHwduNi/al1ceQLKOAxcs/ajfN0DGQeY3jANI9sG5YAF6DCYF0ceBm92N9uWVB5Bs5MgFixX1+12QcZD9DeMAkpUGccECdClMaqKPAzfbH+3LKw8gWWowFyzW1O93RcZB7jeMA0i2GsIFC9DnMCmLPg7c/A9oX155AMleTlyw2FC/3w0ZB/nfMA4gWWwoFyxgTQGTyujjwM0HgvbllQeQrDaMCxZb6vcNkXFQ+A3jAJLdnLlgAesamBRHHwdufhi0L688gGQ7Fy5Y+lO/aYSMg+JvGAeQrOfKBQtYW8GkPvo4cPMFoX155QEkCw7nggXwAHdW0sdB6TeMA0g2HMEFC1jfwaRE+jgI/IZxAMmOI7lgsaMlvtPHQfk3jAPYMOn2L/PlBGh+uv/JGCvYbAnKHA4de2xUy7XBN2ezuObLMfGA9uWVB7BRE5RdsYdkU94PxCA9bvlyTDygfXnlAWzyBOUhJ/4xEIP0uOXLMfGA9uWVB7BBFBSh12sfWPnaYZAet3w5IQYe0L688gA2l4JiyokTD8AgPW75ckzjgPbllQewMRWUcf7z1r8u7o9Betzy5Zh4QPvyygPY1ApKGsfn3h+D9LjlyzHxgPbllQewIRaUgw+iQtYPtMUgPW75ckw8oH155QFspgWlhBMvt8EgPW75ckw8oH155QFsxAVFytWzj/seawzS45Yvx8QD2pdXHsAmXlCsOXFBKwzS45Yvx8QD2pdXHsAGYFAmnLP/IqJjhUF63PLlmHhA+/LKA9g8DEpHDmg/DNLjli/HxAPal1cewMZjUE7aGp85vsiSykftxzVfjokHtC+vPIBNy6B0xGj7YpAet3w5Jh7QvrzyADY8g6K0X25+VLMFFS/uyzVfjokHtC+vPIDN0qB05E9YYJAet3w5Jh7QvrzyADZagxJp1OhqMNGcyuWwwLjlyzHxgPbllQdwGAcocB0G6XHbh8LEA9qXVx7AQR6gwCuzkz0gAkgeH3rBvrzyADarh/zLvEEmHv7rmhZsdA/9l3mDTDz817xBsEk+7F/mDTLx8F/zBsEGe1AW/Iu8QSYe0L688gA254OCHnjCLW+QiQe0L688gI39oNj+i7xBJh7QvrzyAA4FAAU9aIVb3iATD2hfXnkABwpE/cu8QSYe/mveIDiMYNK/zBtk4uG/5g2Cgwyi/2XeIBMP/zVvEByCMPlf5g0y8fBf8wbBAQpT/mXeIBMP/zVvEBy+EPMv8waZePiveYOcgxv+Zd4gEw//NW8QHPoQ9y/zBpl4+K95g+DACFAy/kXeoBADD2hfXnkAh02AAvdOZHSSN8g0DmhfXnkAB1WAkoHs4+CWN8jEA9qXVx44h1zQ1mEZneQNMvGA9uWVh70aAQ/Apu9hwrS/QC1AOcNG0JIF6RtABKnn6rR7kNQFF8LQqQuPsgQ0+9Dq4AYGoJR7U8DMaMfnwoQ0oDBNqYW0Be13obMOKDNzavFvSdXDzVMilKLpSxkoVlQ9TCQB9ZwjIikjyoaqh0fYilATtDVl6PWn6uFxtSLU5GlLGaN2VD08mlaEmtgGUAazPVUPj6EVoSadgZRRz6bq4ZGzItSEwKLuHah6eLysCPWxYlQfR6oeHiUrQn1IOPWbg6l6eGwsDIgMonh2ourhEbEi1As4hMI8jKqHx8GKUC/pUGrMXKh6ePQrqO9BBYXEqICEIO2YV1DfkwqWiFKOekHaka4qlOM8iDL8AilD2J9yDPhSjpLxlONoLOVI86Yci56Uo9WDcjy704w0aDRyTkWkJoJ4amKMoxRFDKU4J1MLiUnUwmoitdCMoBbeYZQhEkLRB7RPl4wzBh9VAvVRKcKPilvGK/xo0FMOYHQAzsTwgh8iuhMJnr6AZnPCExHQHX0wAxfNMBOnfQj0jCsJ2gdAz0CSpL349IwcKdoLT89Qkaa96PSMDRnaC07PYJClvdj0iL4c7YWmR7jlaS8yPeKrQHuB6RFQRdqLS48IKtFeWHqETJn2otIjRiq0Fwz+W4CW9Qx3HXZ2OsX/Xf9zV/BG+dKqwpQRyaZqxIKvc8S2zXXBXpf4vjgV3sZ+NveTiPDul4XlJ99mPVMegbl7L6pO0lPDwEcrvq+jvyA4Qn+O+K9H6L9EjtDvc0LbBxyhP4Rqa9WFUk2aMnvFlfvcY4dXF0o3uDxm543Fw+0aHrB33L1ReV7uGRuNb6I+EbnaJQMOD6xkY+IL5haMrmRvkisgStg+uNqg5ZjmwlUEpuyPD3qdR2qAZJLW90LGKr+Xn561k5cggJhDX1BwO44WXH0cdd5WWGv9sqJgyuRIH1TjrOH9kN3x/6Ocfpx5CxyGnJtLupk4v02fCqGu75jexHylC3pZ3lgMayXFRCWkxMUkZSUlZOSkJGUFBbS1hQRFxUQFtXVEdXR1JUR19bREhIW1xDU1xbWEhcXEhYXEpdQ1NMU1NGT0paX1ZSQkZKQNDPT0JSQUDRQUFJVkZQwUZWSk5OTV5OVUVdWl1NTklFVUlZTlZBeTPzj4jGF3DotrqeGY8VRwsWBc27wjmwkbcqj1yWG/en0b4bvfD78wbAUmV7GTSHHxw8NHZmMeX/cQO2p8cVnPVdhqUkw3U33xg+NyMbu1mwltNz98t002dn3RNkLkky++1HAVNj5xJ/FuuS8eo5iL7Y3cSDyt9cVXGK3CMqw2E/NzfPHDTauxCQLbCPOBvviDG2uwbyvXEL1J+tpjVmH6A9YTuWTfWcq52ODSPEKMbPP05hoscl4+MbXaB++/cB22rOdWojzTB88dvAHrSr4qPUh+LvrlYlmSa4gxfX3xCYJrMaEF64iMch9cYMs6LFYijzhOtt8wZANWkb6JqCFfMzvy1To+ZjMRHO6DR6rnYaHfthF+J3zwK3HrMfvrO4hnZN+GTeswlXW7CG8pX9zo9lrsTdQe4j5Jf3TbGqzIfh/hPt4XT+29BtMwzyesyv3wqU5Z2O5dGwlLcgyvOq/A2EZ5hMVsP1x3xErsXt56wowcz1j3bCxUax1hqumHXx6dgy2VzyVMjvjiU8avxu6NPzE2q/s6ISCv+GuHLTnyiv0uL9nbw3ucj9EQr+2ho/cO72W1aNGxqMWTCvOOuctNyHowJzr2gNaNIsETgbZ1pUUuV5/Nz05d9S7ZyT3Sw886yk9Nbp9cnEHP0mf3jo28VVf/wPhcxY4Nx8122YZt9l7nXPF+dYWE6pNb7y/stLtolPb89vzs458cPkXem9ljlONA5XTJtItCiz/4HbCoVvMw99O4XL/vhnic2CHNey52n41ebl4WuHzuQMtNxz0+qtwxqSh3uthGbEncb3Q27apL/NX+0jE2iz8dx6zPPyeOx3WrOJT1+Mse25KnXb1MMib7q4i3aI8SL5Rsf2DZa9WNC7IjFx5bmWVU6z7jY57Dh2xleUPVU0+7nnN3Xtew63hSD4M51zNKM2cdVp7Vv0U28WnApvgbg9Zd2PCpoixQbM7XS/LeOQfdRlodEIyrmNH7cMapEc91X39VdIq/MPbV++Ics+m3ywWrp/Z1Ga7QfDtwmuOp+vxeyieV9PUiDiq2B5y9X12lMuCJk3e7+obj9yrC1nlLkCNv4HkriSOGFdSXPePpM4WkKx8aLn2Ztl9lenJEdveJRVOfH7wYMHPIJdfjLWud7Io+G2gZyuc7VCTNX5Z80aHfUJ1BkwXWXK+ZKdebfEpVVqeEZw5oOqgdEG+gtUVuUOr9ueS9hr19Q9/V0ff6S25zaEh+dbe0meh3xd5gQNV9tYIT5lqGcvkOb7B+xbMN4rB+V3wEFufM23Vys9N3Rzy3eU6BnH3Clz+awcFw/TuGoIDkZOO61jW9jr4ZgJ2QmWy0bM3HnPupdefb1sXaey8q0z8+vcvXckcR/+ayIxfM9n2T2z9y7YVJtewo+Xvylefrz381b71V1HJ9yhdzlqv9YnmPpHu3C49VNuvOWj0rMHH1HA39bfqXnB7Jx330KGhaVl5d9NW8LiBxdYI5q3ighn6oX5q73+192+XLWma1y+XcdD87N7Q0xDZJ/LF9WFlL99u1cz/1v5n8de2d+slppxoNRttHzljnUHcrxFa/Wk+DLfnGT0Nf4FmXr6Izuo7tAWBtoeHnNgbG+rFdOv9zROj1P98O8LVy5NDn5P+ad+mc/ekP2gBVfEn036vipaI0VQyswDPXtVTive+x7dwaHl/0fvydqaUzWatwwcO/qGL0iIWNpYplTuUV7DSBkkjwf6iKd5Jz/BNyvhxZ7IcXF+3/21WxjKSEtKyUpIyggLJyhypWVhZVUVWVEFVVU1YRFTUg1bGBuL6+uEGHOtbVk5ISl9LT0xfX05NQl5aWkZZXkFbX0JCX1pTT0JSW1pXS0ZGS1dbRltXSklVU0lJQlJWRUFNXB9P74TdHO4bI8/v0rnsTTO86lz/p2LrFuvn0GGw97EB1QJ9C1sUFa9I/1ze3xWYa2lRhMaun4COeRVVOLm6x6dZdflVp7KZhcnqOeqMOrsxSEZefPXn/+cby91dL7l+OPue13XtGW+vMIbbxoo9z1ebfmpk6SdPryvR9BW+XqURGTexqpXDvY+W8TcsM7GpSyob1OdBrj9SpxsBy1yH1q5ZkfhwbXDNcIXLbqicNLik6yzI03y5sm73ycVzvA9Lv5j27Zv7MYtjXPlYXK7dsyptopGMm/W5xf8mT0gcW5Rleuun1ZIexxtUep2YtLMh7rCAZ5mMTr/i8ihVtt7fr4bavg/aV3p+UOy9rRcKHE3Myv/ZryW+02/Ng6YWigGRtvVCj0/EOB17o3bWfrdSaIP3u2fBzzePXhQ3YJzF4fkyJ/UiPKVZ76m7k9J1/p1yjfUCE15hlg05sihlUXv385dHzmbjXyZ5tAmbvLg6aUhcqAkba82LROM5IQ6f4jKe7Iz1Kku76xycl37Q6tcu9IfmgoOaYQ2bt74OSwZx/zXNBI6fHku89xp+YlaMrrLBH5G6+j3SUweGUPhk5NWYF8xc+m/l+rFBO+m2pANbQthsb4gNiJPYKVKdemNX4QWCRY7ioub7hvsKPCo9ZCrJZoFXM6oFXzuadqkl9MPed4J1DjXtE7hnUORy+UXIjQCvYNOPsselm68Repz+dLD1KPH/Th8Oiuakv9QvsDbQENhT4Lh3Z72obw1fR8cmQL7iejPR8DvcF37kPCiDkBoR59tML7R+x7FqhZA3bLGec7evabv2aVjUsGwFndk7V+Xq2YJ3Z+QebP08+12T+xUamdZbd2dK5u52qSufVBb7JS/nCTjulfCn9NefBnS/nW8TLJw+x/Gi+rlA5ql2zX9P1KW1nksRdanqUJtdNxl9IV4ZpVIm+n/lNIFX+ULvxwiT/p3lpa9LfnCXbae2YFdAyv8enubXyi+UFpFY8XzCnYNKFP3BKD15teeOXKT2EB+uqD926Ao5Bxfc5B7qJHWZf878yO9XzMfvQoeT0xC7V7NPnVFaIF7z6ZUpHT8upGVkz8+XwSvZD53ElZ+yFMDCle2f44nl7F2JvWiIJmYLg/6VTugqc0tHpXFxKlzOVS0uoa6ipA+uKnM415eU15eTlwXQOp3IwrcPpHEww7LDVZtwsK2ApDSE15wDLndihsC2E1eAA/MHyTdhNYjVheDYQj6nNxV5pLiFUbIJwmZFZmHDcXEKYFMsOUkQ9Pm4kpD764zPdNmOhMdnElQmBuPq1tdjmugVE2sMJ+BHHldj6aeuJstX+uJ78VqytSxYRJR6In9m8HvO7kUY0xU/AfW1zMKW2XOII7o+fu7ENy7m7lFDYE4AHz87DNLenEhNVJ+CifVZzLKIA8tU4T74OGfNziIXv/PCwxTsw09RFxGG3AFzKexN2PzmZKDkciO/tsgarI18fCc0g3P1dFscKurrZD5cW3cWxjobP8sOfP9zFsZpuj/LD9+7YzbGmPEz88Dkz93CsrIeCfrib616OFTf2iS/eRW8fxxJ7UeCLf/64D1P7NomocQnCE18ux2wbpxCX5gTh259nYuPq44htB4Lwu/eXYbM/TSPmvwzCW4qXYnkfEogQ9WC8+8Ul2Lm3icQg52B81JnF2MtXSUS32cH47COLsKqRF7Kb16aLAXkVZvUdypFXCM2yGtnjfCCpeg33NlwI6b92yPliGceJX75sPzIuwnmWnNy1QKmd/tfyNh/skzRdwejgmtRRz0Iufmwyzir28VGzTpq2/vygmPvXahoGnG5m5W0YWl+U/Vph5ewVW0RTdj3oeaXVJMJ+lNuBaIedKVu23DvHNnVYkjDMrjompzVlWp7hRe1zzm9VVg5JUmz1vGjqUK0+rGpw9+Y7kzfn6S/ZfdgxU7dx9wiZ5ymh8jfOhCRX2qeYhOs47jl7oMuCbS2et+Ieu6WvXbVBIGlCappsbq5DfLDyyl7Onz31PC1nXj615UWl8YjA88bfrrwQOXV71e1T6ke/KmmnTSmceiRGD/dPPVt9dOz+tDMFn0I9Rz4WnV9e+zj3w1zLgpoyx1vHpPuW7T25fNzWojkzboV6itmK5Yk9On7WO1OxcXaJ+a1zJ8KG2ZzvlSirf+7Ahb5rv4nMD/BwqOz5WNDsyPBDcu3l8nubV0QRSaHlSSNFNqvd3WshBxSr6ZpMa87IZ1If8oynVjf6yKViGvMCU3eXCxyedmDevMxM0bvz/IKHpzpUmvvk7y0T2KF1295x2W3pAPf69cEPVhQnsu+09EzavqVvkcvJI9mtrb3NrgbPLrycO3OL0+darx5OsYY2+7yWvtRobX+yyX1Z/dBlLY7VJ51MmlIrs1w+VNZN3FrYXLLvaWNWt7grerHiJxa19BdI/zI+bn7+gVff528G3Tpvq14OB8Clnyypm2NVl6SP9XvqeEJmgPh+ozkxs+Whiu1uW5r/wsOt+aq3rX5++/bWunvGMdot8s86bCjSemq3NG/v6wNsKNKwul9qXv/x/dc54vv0LqXvTP/UoW+PpjfJkwqXvP0WmPjuWxLetLa8us/8b+KX/KWPtsusmb2qvMWjw5ASrCmdd1L90i3za9JPv9QLrstLOde+YFvb9tZ4lbo5+U8a77VJLZwV8Dk95mvNdnsBk8NCkocnNZr8gRr30bpdpb9o3FQeNK4LqnEDMJ+jPvvK2OEja4tqSL/k7aie7TZjd7BPf/qCuc3Zw6Bxf/xhFahxo66dEol02c9uyZ9LJLRNwOf3WfBd444jp8z/07g0jaunryelq0vXuNB4+lnbammRCve7xsWaenzgfIar6L6xoSqkbyxggsW8hfhQiwG5ik92PJofPKvZU2HYWL95rxTOJG3W+bZ65bYJTmsNwqeHXY7JNBXNnms6KMBNxau22wG5hINLHaeO6fct3+3Z0J2n2du7P3hraRXtNnP1qqRW1kQn2Q+6xddHldQ0PBM7drZqS+y9sPFR5j7FV1sybi3VFguMG3HJKyHq6aSAeHGl+wnPM63HnDHNlL6hl3REIzHRJ3OpyarcQZ/6aTs7nrl+zW5+0PyD4Sd0knYXZOW37Jv2+LWJuc7VQ8Pl2Os8DN8v9zmo07Bu1PGdQ6tXzRrju9/2s1XOqYmTNuxxd2VnVN0OXesxUaX5/ZicaY+j9oxytb446mlE3dNS5SuJelmftwtGf5I53V004YvR9TPiMgP8xWJrmkOmPdKMWmuysLGu6/5VqtfvbdLxfVX1qtvF4maHYd436+ILJ/ResKXhlubNI70OVnVpujMtx2yc6tbcoXc10xddVrW6JR4S4K0/vlI1jr3SpuJz/ZYJR91Wfjl+brnoxfKz2MmGGa5HtVx1xjdFHL+2xFdsSfPnz/pqJif2r+83UxHIKiH/aAVHVqk0WTkMVQlQEA2Q970fveGwqZLhuYUqal1s4+582mjQdUdAulxWlcMEVRNDIQcVyQh5E6mDvUz3SC58Muy8u4KiUa9H970mtYWoro/Y1EPttMTbpLzGT9Xv2w1ON/mUNWfGjF9XO2IVdrkg5rN2YMgxzDq4ZWp6wads4lVGzMy1tU+05x6MqWxxPEccJvYPqPT62PuGRJS1htN0yYnVomprFm8fIRHUc+4p72uHJM9ZqUpUa5jpKRi3SewpqW3rGXj0ucNMvMkra0rrptT5BZ/33ZIb3f/VApPCFpfjtq82Nh39PGRNQduZwp5epm7n6izEE4yujbwpUZqme1h8Zc1pD424gtiRJ543Jt7uXvAo4vQbu0HGon2PXHIsyWvpXeAbNfCDRPpIkaWm2WYe89ZUlr3I+Xw5rtBxZ2qWe1Vr6TzVG3JH9Xr5f313a2NqsXTVnMkPPe1m1DuceNSuahKr0N/Lr6RbS57ilVtW++rX6lwWFWpc0j7baHGS0upwixGJXWSWSr47bX1WrE259IaHfW0S0MV1ByQSOXLJoua1GU9neV2ITCrbsuK9pUGrw2Nt116XRFNfb1S9E3DytcfB93lzTAsGZohdTQ3PPH173JwC2wyxBeS/j1/qqfj93y/ihhXM7nBwkn5OY/mD+zOXC++RC5bPiF5VKQos3XqfiV3MZfuqD5q8VCH9nkGrQYyCLGnpOnwjPZo6q5MCGpLDBUZ/DE18oq+Z15kyANq4dYlah6V7hYs2ngO08bGHpu0ae7+J33zUf0afT4veJtmWflD12LbWYrPw4vbTYyLLt5x3lbv1q2uToLs2z3e4No/PJL2aQC0nST1sf6xXzeY4OYFaphvBSUrcjeDtlBF881by58CG8/fJn6lzezFd82ahcLz8rpZAmXbiq4BvffMEQ0eHpX+gPt5YdSfmF32cLPbv9fFQMZo+Bqkpva8XDFLCytkuS6I3D7pZyVZ2rl2vHFHB9n3j3S+78eUv+hj9g2nBR0O/DnGpZFv2PKy0ntTLUB9n9ZyNmVWPIqY8C8Gd3iz/36SPVUSVlQWVRUUlVNXUSBNYFDgjVVRFRUXFhASFxUl7WEhMnGMR6+nr64lLSQFnJtDJmtKkU1NTTk5TXloa6GCgs3V0paR0ZLW1ZXWkpIA1DHS1urSEBJjz3w/TOcbNIq4jRTAyIxhfSi6JFprPJlRfBON+6WmYqfZ04plFCG5anordFY0hNqWF4G0D5mLTaiOJMFJMa0mRNfeZTuTPDMYXHs3A8jRiiPBb5HJKIQ1zFJ5ImBqG4CaRqdjEXjGEmUYwfrRqISavNpH4EhWMp7EzsEMCIcSpomDcK3c+9rzHROL0kSC8QmUJlqwcQqRIBeMHoxdihm1+xFD/YDzlSjq2w24ikUK+Kizy9XA1DiGGegThcoOWYbUK/oTcjiC8ZP1ibGXzGOJBSxC+r3EBZku+Tmvdg/E57unYyK7JhKp3MG44eCHm7TibeG4UjJ/0WYTJ4zOJ/Pog3G3qYuwyNp2IOB+EVy9agiWxpxJmWaS1u3kpZsuKIb4EBOFKp8jfGhhNnDYLwnfczcSSazyJ+ynB+Kv+adiVV2MIucOkhdt1Pib/ZjzhVBWMn5aah3m/9SPmqoXgxnUpWN67QOKkUwie+WwuVvM+mKifEYJ/O5+MmX0MI0x3heCXxyRhw2WOHe7a7rwbyGv7RO9cjrxAGlCHvCbddpBKNlDA7qQOGhyRJqupazDPNGzv7m5TN8uNXjRv2fFZMnkxU0ryQu49zWt8o9u7cNktNeuCjccKhlV3sfQepm++LLrvjeyI/F71ogM3xdRKSA8kThemu7yrOWVV3Dy+ZW2K3VfRYTHZq7Ufv48B2kio8cp4JMy29gIRwn7k+HiOUqZfpongNnWbqymvQ+qyifpd9m8aSkO+wjjbZ4ucrgGkGlESv2PwSXhTFvx3zIOu/X/WRh/D9eXH6F7RU9h7YpyCa2qx+J3Zly+SITYfhdamA/1Iv6s40GIDFGTvkhqpmmgRPiQ+SFhgSdS4xFFdZmxn+HI7PmvyI3QftL43F+Ow5uIo6e66obHJsZrf2rVKTqsXC9WMPzxLKpIdOL9OX8pwZs6qgvNN6w+ZaMkfmjJgoN0kpWNF7QX2ruzFHQrJ8euqO/f9h3gkae5rS9uUNPlyo9133dSusqf9gH1xEnnb0XzzW9JWPFe6OLQk0Lbd+HGbZfhn0jiEUbZtbXLr8gJXqh9++1pYhlXcVuf2hRORa1e9z9Igg2ujG/XT6p7cwlqEK4UFls2oOrr83IqRf6Ay0l7ivPUXZRTIg3HYE012ebXYYeDsuRXsi/NKR900q2RLnjHduvAMwU5+2H3r0cZrDMbhj4PkJw+Y3A0Yh+kC6wumZV5gJ5EzWxY5YwBlNPKbO3FyUCh+6czC/60RNo4yIpUSiLJBRQSNQ6CQpIGm0pCWhopIXkGG9Mxyj7CBCa1A2JdrsgtdofTbG0mc/BKCF+olYZ8iSPtcIRT/tCAZ22ccSfibhOKp8+ZiEysjiAOkaFSTUrBje4KJqVkh+O6jc7H0icFE3e4Q3GdnCuZlEkzEXQzB5dalYgP2+BGmZiF444tUTGeSH/GUnIQvX5mHtffxI9IDQvDVh+ZjZ3aPIV5dD8Zx0TTsYPQYoqgyGO/7Kg3bYTGGWNscjHe7nv6TQsF2jyLyw0ml2TsDGzplFLEzKRjfIL4Ac7MaRezPCcb3VizAxpCv0NG9wfgZ8hWiT/L0yZ+uFOjKgq5E6MqFrnRmNo4mcsrIfx9ZgK2v9ybilUNw5X0ZWOGncYTnkBCctS0dq/jgS/RLCMEjNqRhIu8CCOU9IfjKnPmY8esgoq6EHOel87Bh1aHEXcVQ/E1aKjY+oyi979Wjm4G8esyysODIa8x3eRllsnuITFG5bCNmPfUE+5XPqyzDq5su1+/WHtNjM/viuTQZtZNs2/jLL2Rt1WLDurzIvdLsm2uY6nDXLlX7Sq3x1pVFx6JK/fIaSxqb1y/Q1H6nOGLISjXrJbL1UkmDs71sFn9plFwW3ePioyXxchLq1tl93YN2Dz0e6vJaUWa6VFL3lRuKHpuWv9bdqrR6wrFax1FXxauPDrc9s/2laN1L9X03e1ilNIWry+n3uBFUUmroM8BrzYXEc70Gxuf3U7Owfqk855aJb2rCXlW9/h7XUnbGSRSu7zUpVXOfut9pt3GS2toxkt7V2aGOl0pmzGuUdh4R7Fr0zKyltFu36RKXK8o2fSwLM996X2r9ZMVpH9tqxqWlVztuDQl3Sq39ujxLesBcf+/+W9Wf2wSwyrtnFPZ/d3O9iS++KuZeau/oGc1F+/2fj031mrEDkw951XWA/JbstMwQSfvtd8r10z4/7fb8YkAB0LVTjeI1EC+s/Y29UqkCGvPLg8fdLhs06Zy51KVsTVexzavFhpyabe6a4l1mr7FkSPO1lGPmpyUa9W7XE/1LR9Z9zppgqZdHZN+puHL27LXSi6zmA58fdLPP0i4d2j+rW5OlS3a3/tbtSfd8djmRvtm2LnEfb2e1FMUfH/YhKKqkKubYxLj3+j+8sE8E666P9Yje/sDin7ywex8MOsEln6XD7rPV3egj1i1b0q5pe2xRU4cBeE24xib34yOfA9nqNx+xgCXYq/B86y+e2CC6J9bf6p88sVNbzdsdyCyVYjuZmlKRZ0liN5NE49mLkz6WFt3tf82mrCXOrfHcV80hCQ6nNrCS61ZsTFzdarPpTWCLpRtl+kn9MP2S81+dFh1uvOcP1Lb3l75z+0XbZvKgbceg2hYGP9uXXXhsb3/hO1N2sS+Pzrp/7hdti/7pGKhtxfp9Coi8+Ik9lZzG95LTo+yWMKxPliFxSDPi/7Ttz9oWaFky+ikONK6Unrg4cMkyu2M7NK26hJoamL1jM3a/46Zt6drzxT4/orYpFN+6fTY2YqYHYbo/DDdwn4YVDh5KRAWH42u/RWMWivbELlI0aqSY+pNa8tzKUFynLBlznTScWO4chtdNmIn5m+FEoEA4vk80DsvZPopYaRaKh75LwZwDnIgvVeQiauocrF1jIOG5LgwnFKZjdZtdibBrIXjBV1L7eDgQY+aG4q6Oc7E8IWvC2TYMv6c96yftOXLjEKJ/SAjeJJKOOQ2xI07rhOLWrqkY650Zwb4filcZJ2HW5Ct0blEY7ndk+k8aja7p6BqQrhnpGpOuSekaVjW/O5F0Jgy3OhSP1R8wIQZ+DMNlDsRh94v6EE0G4Xjlvhjs0B1z4uiocPzknsnYinJLIm5eOL581yQs9pM1YX40HA/fMRFzFxxAvK8Jx9nbIrD2yBNydiJml4G8Asc0fObIa/F3ecneKnJRDtC4/GmgjPxIDycjqYlZHzLnGVk+Len+3OyxwuKjQpcrU+Tel6kYz3MYpzvhTlGCYqjCYtk+WzbOU5TI7j1wSPGkcc+mHpy7fF8PyeVCRstnts+9teqj/fUvooWptcd7aMjMPnArXkFvtMh+JcX4x84aT1VmBFm9m9TVp7nnlMn9E54OnfJOas2HcZ4bFxWMVlJx1PzS1q/LiS5XEp4ev4NnzFG+r5+Qv3jhlFHNYbuODIzNmeKmNuNutOlhRWd/0Ymz3745smJKzYqAhiF2a28pD3xa/0i8/90RBZHKDWOzG5XaZivY3oh//tY48abUtQXXT+9orRF1iPys+Oym4pAj/qdaFvuPkbR/+lFez//V6aFDq0STYi0/ypz0fLC3KXTO+JODzPdKRF1Nrty66PZ65cXpjbpB9vPKFwecEKp6Y3Th3tOkb266Z/AriSoyl4PW2Q8Of6KkIeTetjep3Us0N0eSFWi8Z4766bHSdfNDz7XIF82+J9GsJenxLOUlMfxs/OIpzasCJn8wcdKSOKtblKTkvmr6q0VD24GGjhZSOsIR0FJqopvxdIWlT8B1AZFY7FvJBIvxEvayrnmt3xSuqR+y656g1Ft+0/a5EZmJuve6F9jO2yC2zaHinkvCe6xCYabWarEFhUk7w8UPyg9Kfdmlvp+57ArxJ95Hp0o/9jWYhR0eV+pLumP1B4WNt0y9IZgrnS+/Xx34Zd2a32Nkrun99dMM4jJbhI8CQ3hkfGTwTbNTtzvTDEA/z3zeqvmrX1bgfeojpcLjn+3IfNOxu0pnqxwULUs85e2aG30pZcrZ2zPPPlxXKtFWN2Hn/BVy0v2fs1E7mC0G0pJIXQ2M31ZPx/aSpR+nl70h002BY7at55j2oFmr2wNo2ad1+hfsO9SzvyCpnoe39V2X9AYq57VAOX+CyrkbUM4k5bbBOxLM2/rsmL3jzS2iybwx/7PN+SYBt91VDkFfRHP+QOVstWu01i/KOY4H5WyHKmcYJ3VrVen+zav8uymc6l3jOu3tr6ZwDbKvODJjfp8L1mR8VQNLHvTyPHsAOetruIThc2/5Y1NGdeMo5zByZv1fs+9DVbXDFFZVEyWtXAlRdQ2mzCQZUhFrcvZ9aGlpaEpIKGp17PvQ6tj3oSMvp60NFLScsoo23Pex3UppOBorvXnD5Z6ghviUgeoO83abjir201lQ6NfQLfZo+mSFoVOvOOouzn48Y4N/3PD1XQPvdlmyxi1ilYzJ2BvOUw1zMrvMtjJ7E6iZ9SJ4zFQl/89djV761zbpvBhb1HZGL3H/6HOWXRom1dV2186u0+2yzUbWn8xAi7e9UHM9reiq1ifra039Jg+t2je0aPwqM3/tp7PsE2Y82Lr/cm3FAuc7eqsaPdJGLsv/XLXvfIll2rkPxxN7TV89IHDo4QuGhaMubRNO23l9wx55UY1xXlH6zs6Xjwjk9enRd7rWlinTk9f2v/h6keRV12xz/GJL+XGRydm1dXaDW0vfVkxTj8v3UGy63TXMvXiD1/xnz3uvetgSldFzmsiKCRHsXrtVCx++rQrNzmu+1fNSSWmmtOj24/XPFD7UbYl5sNVyQoGNRcI69s3gU5t2s03PH5Jz2iWzWVgyV9us6hLr/IRpb3NYF54FLSyrzdkqfuLuttrWHSt8fZ2+Brhb+L68GrltsWJekXz281cWOV5aT/PdNYtFm/Y/qG312zu1beDV3D1FmjuWtw88eTjnfcOQa0BW+cJnv3FkFfNDVpnsofdjNC5Jrst/nULcLp+fo6w776NLemtC4j03V3sru57HR9euURKJuZrm2vNii9nTPqavvVzWZ7iNVO+/ZZFcV/Wseu1zUZI64+R2TZ/9tfZ0Xo2vhsXzN8oDTUTatC0TPygGmNWWHy93Huf22ajAPOLKC9WoJJk9eRajt4lYas+VvenzTqlFqSrf8mO09MKt18Kf3n5ubKvuMW2m30OTryX7db4kFg7LnLEx0S5sdZRCcYm335Rqp80b3505eC73xtqUL+s+n7T0sBG5anOtYbCjmUj3ideKD3bxUR3o667nqjliomhNu0ljqOwdq8amzc/Hmr97KMFq9Yruo8nyUQtOMsm1Oi2XMndoro6V4akzdYsPvnrm9EHy7KXs67dknKaLvLauMipdHaG+WL6nd3eZA2oOSV5NX+eXF/jVvlkb+3rrpu5dZmzwvtTqNb95qkyz/vMTN3MrV8Y+nb3h66U3kSEPTn+cpLYyz7P6RcLt5kPuZUlLN214t+FBLxbHF31k5XSOFJbR7OMucqkBCvPchbcMfpDZz1bJcO8QBywwU2TuR0EFna3dy0Q0TLGUtnj7hVucBM4Ow84Eh017tDh63N5pn1ufh1S+CDbvHxvxvtcyKX/SMI7bnTRxafEdnelJ4/fpXF2uc2JRfdo2L/nXXey3pNf3be/StOiW6cqawsIFVS0mR6Zf03ndZdYV3Zcf5PbK+EmbBwjb/ZN5vGHzCC0O/1e5+KHVgB962vgd71/c6SNTM/LrxBl1fgUS6/JirzT0WrS4x7rJdz703NE66H75l4gVx2Xb0t8DS5ejUtv7ryZd0NAanqz1rXFaYmGQfJwZpZ/Pf331LfDDbCnrdovnYJOH3mJ5S9JYzhWv3LzmmGZ0ifOOJPcXs8RuFsp90V+c9AnqYYnNpzf6jtQnml67sYrPznL7sqPBP60usGHTNdIX7e9Ahk6FBYZZVQv3n65Y+gfq376Xd9b9on+zeNC/4+j6V5dmHJc9m7hqudkF9hWWs9mtmgfsgVY9rwi3Pf1F/0K92+GS1sR69+t1/I0l6Yp+VjBUtV8lO7bJjqN/7/b1wlrtpIlr2yLxS4ej/3b9+29c0QwbPjjuaO6bPUjjWFuHckf/nLNkcCm0jZuRHEEO/5rycHwhufw5Um9FvBwVgfuF+2JCtWaE6YUIvK/geGzk257EDKtIXHzNGGxtdTeiiBTRM1JchdfMCMf34fhbg0DszsWexEK/CLz9uB/2kuhG3L0Vgau4+2BXN/Yk8tPD8RlPgrFNa7sRNV/D8eIpE7AZObpE78gI3EAiALs7rRsh2DUcF8kKx6bE6BKDVoTjuT1CMdkodSJNJALvUxiEJZBLsy7ka3KGfDWeu+oSgafD8OXOURjbSZ3Y2CccDy2LwPIdFImyDeH4gGlhmNhAacJAIQKXkwnBFr20Ja7vC8fN9wRie29ZES2zwvGHGUHYrZN9iT7DwvHZISHYp61mhJ9aON4ND8OUl/cmllaG4df0IjCrxJ5EYUEYPqU5EvMOMyZqZ4fhao+jsDHuckQ9HoG/Mg/CdocqElfiI/BznoFY2ywVYt2OCHztTH/Mbbk6EfMsAo/P88U2b9MiBstF4iMujMcaTukSmg6ReI/XY7GhdwyI93GRuJDcGOxC+N7QCaa7NYC8fF/vO8ORVxItb+mGy0p3DdEp2sNkFBVtumpOWof1zrD2qkzQ0Qq5MNR9jfOETMUELFYxQj/Fcs7cjCtRPpoOQybFdTneY4TrpK1XwjwUjh8U8n5fMst/8Kl24mOi67pLe3StW4p3JZpeeu6qaSqzq1/ejGnGsvNnmaw4tKFUS2ZynUl20GWLwvTSSpOru1Y393dsn5Q96mrcyWduel5NMRVjHkU/1nbveWuWNdt6oHRbYHbNw4zy88nOoTcP2ATZ3typYzRQ3Et2cl8TeTWd9hGact88p920VatLOxqwwe5twtc7BYm+VXeyKu/anY8+du1R5OW6EMfZtXZq3aLZNs8l25y7TvAvKlBryXEudtmclnTG5FScxSxjWSt7k4tTi88t3vQl59qDQcV3D5aPG1d1S/3WknhHr9F+pjM//D/yzjosyrVr+yDd3d3dnXNz0yAlIApIK93SJS3dIR0iEgKCCkrMkAoSEgYoElLSCErDN4NbH/bW/b7v/nN/DweHgxwjDnNd9/rd51rnWpcT9Zdr3IpUQxsbeDouUR9udvH44AmsV4kOqjr1Ufd0fjRls7rZKbinO//avss8C69i8z0yLeSaKKuq4lDJpxV2RWuFeS46CgdcVWvuU2QB+54JIkOpWgSZPekheGdrkn7OP1yLB6+1dG9hVTr2sUVgUd7KLarXvxnOjkk5zdpeD5joK+Et9N+hvqifUBWG17ShqR2UuhscYpr/PjfI2Ih2ruI9d38mo5aUQYV5jetXtaS5xY88cAcxw7GqVGpp3Gn/geGZg1ifYZE+K2uscOlh/t111dyA5M/rpxKOEPXE/jM483+xxbhheXNhyZ/jLND8CDa/RDl4TCqx6g3/Fc9Icd46CmscJfi6/ChJOvddpqmFJE9DgRJbvxjJPOhXB+1lUxosSajnZeVPluTq0RjlWrPiewxPfuSis0+eW5xc/2lRgt5Ymnq/dYz/M5sNQVsJcYIL4nOs1jtupBpo6XQ70ao7tp0+equ727m3e0LHm18aiKJ1TCcJmeQUsHs7iuEWjJ5O0HD2c+Esh0RORFee4OaFkC+bUZ4KjEEE5ZEexLzbFLqng/8vxPPkKW7kL3j2/wd4BjH+0ov5Qx7bThVXvZX6T6+lWGBAQmCg199Uiv8zfoyKlSMcIY8/xRtK8qvehRTis8Io4HH0B56tahxAhSu2/z3ymJT0O55JSdHgWMaEa2SEZenPVWIcHASmcTEpqfBwCYlw4bKYmoCQkIoaFxcHkc/Gp6PDp4VbluDyGJ+YBi6NaWiIiPHx4Cnus1BfakpcefYy4SaYsw/fCbT2a2r6CDtx6tJCVwVKeIN6tMp2SS6rDQXatZbDmIepfV+FGsfZc/NeHxJ0Ej58wx/2bDn8dpEVNU6YGPdlCe/SaQGuzZoLykp1rjwsKbfDMD/7qWQyB5qJXLHT1Lgu1oHhFe7Tqf50W6LDkQBPXod1/tsBOb68+BWzt3yNq+T3aNB5AprLhNa2PJoVWDJTZqufh9ChD2uoPAnefMcgQXl6J6UigF9HgLvvsnaJzrUC/9om0by0ibsv0wpJjSALrHt9ZafK7tu6tf35XtmS5Ut5cL1PFr19vbt/OOzRR68rTUUvBkltOunjZgawA0oFppp5VVBidV9nvW3r9tUlsufpu9I7u8UX+yZLucK0UZLw8qpGfvJermAILrXoONe+3LoQqci7Ez6+XceB1To8/LallBoa/iFezqjKq1dlGKbtrgldWs5QVY4eVYytsPZTZ3M6CZtdGZTnMnRel6x+l77Ddtw180W5eyRFflyOyiLoolDKi5eF3TdccKiyUa7eMdna84YqVDeoFjyIlDIWx1zXfBnCUlNZpWH82QixWsQrOdVnqxX0HzAnXeOcdKft8WysfljxWM22DXKD5HT79Djjku+XMpt38XWDUgtsZdWrHXRcMZxsFOk48x0Ob1+icX1Nf5OpYuorZeWQI01hRs1Vxgc9XNyWLVykSvdTjrr6iZ5bI10nDo8kjd4/LkOdLcrcVrafnGvoJe7homw1GTdBH55Xe6dBwhfR8XlF+ZLXfWGqUZFS8mYGXIeX8DC2A+3SvqybNjHULzneXC179fLJ3pH20x0jyS8jVosPPA6MKYcam2KfDaJYvn/S/fx2/anuntvz2blW4fksN7+pkiL9p0/486oJCF2N+nRmHKxvDYvPv4rarJa6dVwk+5H0hsoF2u70MpOOiTdIQouZafaUn7E+meR7nITOBD5LSkOfH3jgthuX9Jyv79UdN8lOqw6pm6fkJzR1lHaG4l2RcTTkp5Nv3j3ZVDW+JcE/+phjdQCb0Gu142HdyivmmZNMtohyEnKK2ozaVNzT6r2maoMaWaEj+m9bFQbjKY57gZLxAd/mq0xW15UDEFjurSx+frYi0X+yEg8hoQ7d2kl7XvWA8dETsdvBx5Xt1NwuQeVpOPB89eP2wOSjMrQjRL8s3gJLjAnDFD+ij3bCQl4teENKva4VYdyCP21W0C/5pCtk1cKL8RC42cQpkI1+h6Ak6GbEmW9rbY4XvzxltRG9AmWY8VjtBDmXoARZWMjtfStB7w8b1m8/ECTuCi6497fdPKzwOnJU017mU4Ehxj0VbhLvLzoZYdvjZoNtDtQ8eItTxs1H1o8q4zs//VJGJvlPGbm0Knrc54d/+HteOvrzH/5h8/P+4dVT/AXXqFwf8mUI5akowrf17VrUtuuJzBVp1X30MAIvgfhzxq1geMr7lH5M1mBfxO1E//6h7n7uTCDSB9HVzOTqyN1/IYabzRIcf8Fw1D/AsPZfMVwjPxXIsb0EeTzJ6lESvPLzRQl/Ptzv7h39BcN/nUT6A8N6C4bJn6svAAgM2zLagy4tNIBRqCAU3cntvwHD/9tIhN+Ztc6PQjjfP4tQyHCJjPcfhfznkQiRaA1hv1PImfC3/ir8rmddxQiwvIwH66BzAvVs1ABj2TUoT4Iz2BAqBWy9hELTj1xAskJu4LZJKvTY0Q30gS9V8xo6bKnNEbSQuggA41PQLWFnMJhDDsB6+xB6cM8FzCfjB8gikWD4Fo6gK74uwO49Am185wRqDAAA02wp1FLPBWSLFwKmJHegosiOYPAnfQCXpBsaHOwEknsqAVJrGdDnh85gzQUxICcJB+YG3yKS8G2RbrsINS5xABOajIAvtY1QJVYncIZSDdDbi4by3XMGxf0kAQv4NqLgdAVjxzmBJyeMsLxAB5BS/Srwdp0ONqUBv8vTNAF2P1LDmKkcQAetawDlEAXs+qI9mKZjDkhBSWH3H9uDLXqWwNVaIthyuD24oG8N+Bfiw/jgGQSCy9cBckwINF3XFVwS4wD6E7WgRH6uoEoqGxBGZgpNKHYFS9dZAMk8Byh2nyuIrMkMrDP7QaO/uIJm5YzAyFg4FJXGDWxBYQD4KOOgtxTdQGoLOmDKuvJBqN7DPMR6ObMdfN9Wgeey1eqcXZaUPSQYX40x1IUymS5RUi2cBmVycChaRTS61aWnhofHmZISsWl4tMekd4WmzzFf1Ra2MUcPTwkaSl1rPsbXkYMuDo8vz9kiWX6NSlnN4Vf9GqHEUSoZyapKcqBNuUij3zGg5jtldMe/NXsMk80k/ggsvUjAzmsqbMwL7SBXf0UbH7uCrEemSgmxWZWluctyOzmo2y7HM3YEM2wt3vKzPcnKQ9QnIi5rofUCyXUeA4L9tTFZuuA+mnXDY9Mr1piuz3GzFgwqtll35IXeHMux8iw+MlExbq9eImDK41mc4UirUyWS1qHCExAloa99whmNHJTwaJ/kmWFbddmlxH0ijw2DDaOK1VdEHzaofNaU698YOesdUaRxbAdhJhDEd5fy2n9jZ5UVHlQRLmuPm9ZtMbAXNuIg5ManpJGaWsD6qlN+UM7zsTKIlfjeLiXl6jCvekT4tZ6hzTxxO+ajtfv8pfoBWuwRXGb0HhSXRZisc7cIWi/kKjuuBZQhOIwa/KrnbEHi/rjOfSca7nx2gXNYHJiAuRbwRWQ2oAzTlz311nWXKcWTt/DD5MNYCJ8TS8QI62Z6RJtNQJzVTIFOHv3KA05h0zlH0T/GVnh8H1uxxm0Gp3AAsGPsGHJWNBbAx0YeZfRU2OnvV5PEGyF4PIV/F19JcdIeQxijF2IRAIgiRWXppFTtbhL+byz23Hq7dfbaB/7EYhPHrJD4yxnu8KT1GwrnBWf/uOnvTi5D8kGCQ8++r6YPaPNqgzaNZymM/KKf/6KKOf6kii3/d1VseRK+KdE5IIP5lSA+hNLplErylGrsWPBvRloM6oT9tptH8g9lnIe3K1BnvV37L0RytnLn7C9IvvEPGnr40f+SuP4xpcjacGoSMaXIAF1tSo62FTJnEmoLS3zxN66u/wwo9xDP/YKYTsTqbNGGeEyBx/nMKWewi3wP8gPJafBY+v8pknEx0HHwMDFwCXBx8AnxcAmQkcjJLyCjY6Ajk5Ojo1FQ4KBTYJOjoaNjwpPV8JIxJgojKiojJhYWAxYmJgMePT0mHgMDPFNNRYmPg4NPRU2NDfdTE1MTERGTEOBTE+Pj4xHS0tES0tDQ49HREZKS0ZCQEhIgwvy0EPL82Uu9+jPMr9wueHTq6h2qv09vH43PeNhmE5q2hWYpeDi9FVi+m/S0fbW7bF+7CioSPv6gb1/btjv4nfmzkZZC5Wcwe4KGFpTbx6tKbfqRTZLZQS28U71KuQz9ZhWpGzvtiXT9623pi6RtO4Wt3XnVx6blX/IpWzNogVWJ+X3tgE93YauelfvaGcqgxbeol37a7M6m+LYHgbshl176WBmz49wwf5q6+Mi1nDO79QHXUMUX3lpFsLQ92D0hsLwml9ri21CVn7aLKxls9f2An/bF+FSLb2aKRWZECoIBJ/D/ixtPG+NazPox3iCa9iWsevyNdO7dxpA+n1iTmulXrNQNUB/LttFZnz6LZlSe7fwP7BXSt93fbRQSJ2/sdBjQ9WcuvPB8NtyBf1mkk3God4eJ50qtnU3BqI0JeZ05u9iCVFB2L6p4oathQdqUBHpdKy10Oy9iNvg9CpJ0S/XUh2/GnxDvtmD+M4Ozd/v+HxvDd0IrWRO7AyBFJWBZb1EkPymJiTHvqsJlvvHpIarY8v2AIWuJdMHmWb3J/puSXvU6kwPsrRt+AsFxz2fD99joY5JmOelv02wpfqDAOKK6eoh29VC//ptnvc8ByklY9XFO9XFs9THx812yxA3NvMuy5aOD+FOD5FOD6KfsZtsFOPmhdLFz5mK0JBwj1sEjGwU8rnZLtcT8M5laJzJzvQWKWwR1USXRJW/DdBEA+oZ/f/8vviW5QXjlFCBUsQz9zNSE8lrrSuSyO3bFJ0zTIkzcG1p493rXRbUIwLAqu0sJpRs65F/ZRFw5VjoHjjN1Pp8W8GNEO+e/NPJMH3/ssShZqSh9F/552NN89riyWiwlrLrQvf3A5wX9uPWEZwhe+DN5/6sTrE/DG8b55Tzvap4qfiwPaELGEwuZZhCy+V8nJ40E+nCfvfyW3/iW+mQEYbe2VWXMvNEkIZpfm5NA8bCQyGPX9C0/1O9NpQ9LOkd/iMH+8C3Lc1PvKv2yhvub4298vC66zd850PxnEJVOnFIOtD23+yan0rAhFBVssIuQgmROU3D4fISGl3mmu8L2JYrXQ7f047+EecsFIS3aAvuC25ZwL7Gm7rbFUfSrTcAwBL0zCI6cu6XvUT+atvj9C5EjihUc/QtyQv6BClT9OyNxGTqa2DTcSGxwsYJBnnYAMi3tf0M46VcV+NdzOYKyHO6Qw78/cxRuzT43CzlVa4ISXnX6iZxEFlew8Qvlf5MKRPSKIqYoYSJkIDkmJsIE/FMF/tE3etay8ze9owgjMTY8GYtQiz9U4I++0R3s9PzfKUCEoouEv9UD8Ld97k0udPSNC9ireQKBXCqDMsW6gFbABSB3oAbqKucCThujAd/gy9Sy6QyaeWECpV8ToPm3XEC+0gvATfJsaC2/C1i7jQYoS5RAOz44g0JKWIAV6S2oHbcL6M2IDlRMxELlR53Bw3tYwEZRBpQs0BkM5cMDFG/YQEXGnEFoPhbQLBcAHfBxBtWM8YA72DFQOxpncJic6EzRFcLvSPw5sYCOUjXocZAziEGDB7D2WEBNaZ3BdDwiIGrJF9r8zAlkQiIDbkbehlLBt1MNfAshVBbmoQtIbHYIQaivuBEX0KjsBIJQZfiVLqD2N6QztZYa6gJu3rlwpuLIrrqAaXKoZ+ouW9AFFJtBO1N9NJgu4LsIDGAuKBGKH+8Eon4iBwy906EXoE6g8Sgp0O2SA/225QTWwW15YrZF0BVWZxD9ESFwz/wedMrIGTS9iw+QX6mGjsU6g/XpuECUbj30RasziBmJDTDRPfhseDWSDLFe7lygxV/9SknqiLadaGXqBbJe8cyHEpQYWpn70HB2jQQUjYM48Cq7hKYUpWdxRDqogadsw8UlJoTvX9bkliYlaVcfP9l+SWPOJ+D4YDmoMOhQle6KWnC4sdOxft8dVeGAB2VejeP0L9h7oa9n454cNAur4288QqV7frJ7MzUqgO8kTTD4ZQf+goOvwoPryW5qmu1vilvR4gkupqZ/SbpjQyfzWGVTmTpmS+HlxtvKCXWmz0Fj9YHD7c7vcutUJTWeYh2ie7+9wfqWIy0QYh8jBK/occdQxM+7xpfCTMPcp540UMV/vvpy4SrWe2L1nbjMW0Ow11us27VNchVHETXgzYQ3WQ/72CqeDQtLGTznsasODdF+Euf56lJMzzt6AoaiMszBOwEkH/BCUIyrHRvyomuQ1rE9daWI1eQ3Hdl9VKW23sa8lxEumkhTW5j2nKCq6Znxxj/93Fb/hYVEndTl5SU7CD5f96ZrtdchxvC60ltI3GTD54XnH7gQ1I3VN9U/W4WM/1B3iA/7gh4puu4rC2ETGxjb7XGayTAewnuUyuimt4YLLYSyTdtZfaaZccmrOPmBoUghur223fWgWsqCntoAqu4h3+qRXqv8wazmm+Z01hPQGzpyX3MHZTz7uAoNJ5P1tf1WpDAP75cXaLlOzZsuNq/O2AZoDiwyTUg9N01c/mi+O38zcX04bwEyQB+MfNnQ/Z7X7YUfQedv4VsJG0T6takH6btBOBZeFu2MFaGdTxklCiz+GvhACkp0lBPDnLbyKWP6yPbM2XTZw9dtgtUl/NQyIPtnqhV3wTyqCuFXgovBA5qok1a6qQ3YTxOxft3J82+Cp+3fE7eQ+KQahgXotsXJDdFt/M59ifZvhaHbDOAkwaepQ5+6m4lf8ES/+kwf4f5wLKnDHUsnJrpw17AXwjWsfx/O3365+1+iZ46MdBFNPVbOMxiPBXew/oUs1lMd7fqFxWP/QP7lof/NfCXbuw5ahHKfIE+4I4SO8DMhQxyKsQVxeb+w+K/ndP1gsaJ8bfmFoPs/WWwID/I3GqOh+Mjw4C9M89/E4r9voWVgRPAYIQHPz1g639DzPw2nNVQNmfgdh89zVVygCTq04wxat2ICXmRN0Jk9Z9AODQt4fNgI3T5yBp21sICdmUYoGnxZPDKwgHmJauhykjP4dB0XeERRDUXOgLNUDQ+I2K2CUuY4g90leEA6UARF53EG8RmJgG2qIiiTkDNIHk8E6G8XQmUlnEG6PSJAST0dytzjBFrrkQHCtOlQhQEn0GmIDGDaSINajjmBXlrkf+Lqtt5tqLylE/g0jArwoL8NtbJ3AjuJqYHN5WholLsTOFBCDbjCt0+lnxP4Fr59zrPuPAPPs/E8M8+z9Dxjz7MX1pIAzax0AnlOKQHCjjRo6HsnMPglOWD5/A7UCRd+75BFCtT3F0KvyDmDbDbEwIWRMqiiizPoK0gI6L+tgvIXOoP9R3hA6YeHUOpXziBDLw7gndjA+LLB4BJivcjc3uWerdfgH9vJd4JvsBkHGZkWtpXBmntb/Utsp4UefnhIuufi2hVZdI2rN/3WyUtjktUWeaBrIkf0U5VVwpD06qvgw9fUH2cl32xSq7rTmUiGebV0WH6AMQTqjDuQQLfwGjdxzN0xMPreOCU1v0vysWL4OEs/OI21/kmU3pqEx5eV31rRlJjAjWjFiuztFiFFXebBbuFn91EnCxrI3fHOfqxGd0KGu3xRWSOZ3fr2L631g+fdjPxTR/ZzsWYiV/23VFykt/SC5eyb1DqxZOwOLxD19si2tX6bQEBueG2k6i8DIhA1xtP7geEDIowPLjdRXLS1zb8wSpNaG/5ZQEjHKZDDLXReQVSNXil8rrF6HiMu3C4ZMaZIs5Ac+cfXEq3JqO8xfsxkt/zCeHhD2OPW2WRe3C8tFtQ28rcH64gunKU499XcESlOxGAJxMh2AqXw/tB9jBsEt9GRMCY9BhYfmZ8/Nua3iCskbjn+jTH3B77gOc4LHaRvBAyNorZ9riIcugnTVWorefLH9O0bp2dG3djO8P+5a/V/nx+I6FptvbAtUXrHh3IQivXkFDfvFHk5mPL04IfSJChaj/yhNG+1R4+HkFTS90BRxQh6QrAfExgeU4nud2IenwEOy3vLcO/jU9i/EHCPXex/Hdmb9Q8AZ47+N2LzwzhGiJNM18+BRVcZvtQE/2Zg0V8Pw+T2n+n20vgEefSMFWv74ifItt4SdEfQEbSHR88fgHNiFfpvHdmLRoaJ+WtjDD09Am6I5hiEGP3fBwn+Z0aElyCP7e8gdx5aW8ed0IkaZ/ANEQGwQfUKWmPqDEolkgKrYh+g4djOYB42NbAMX6YrTU7gaRQDoLvdCEXRcgYF/EgAbYIu6LsDJzD1KyWgyfMKWn3fCfzqTg/ULlVBeVecwNvTFMAD1CYo8h0ncMWUDqhk7IK+UXECtceZAfyPhdDLMfCSoSotgHtQBeWWcAKVupgALPIm6OmcI1gOcPwJWs6jadAQDidQupYRcNgohBq8dgTzedgBO5xqKGe4I4h0nwe4wdEEPYZvJ2v4FjoPkvOAOQ+e80A6D6rzADsPtie8bdAlS0ewcZMfwBDugo6lOoLYrbyAkUQfFNrpCJrFcAP3ZV9BK3ccwYeGnMCewhtoJpsTiMbMDqirfoCGXnYCr8BLkncuzkKdop3A6mdMwPLJE/8SHfd8xHqZZi/v/2VswbUhBewOQUKVmU++MTnLKdVftcPiwOJXoBM5cnFYcqTuUgdLk+cUVDA0ujlpBu9O14kPJLHZ7eDZZjrBAmuWB9vQpqr3gl3Q9ean6m/yrif5dQWGyTh6FC6aQLMc92Pv7b/3euO7896FyXzuVoifL+yY7sPsAvrGx2mMjznTFHnTEi4FM2hmyG5bXwlMxR82ITDFrnIp5y9T9eSGhPCRFUjRp8GyV7qvrhTrjW64aG5gihpLFLljKXxDos4nuZ8xS1g/vN1qY2D+5VRkY8AmTT8426tvdfHGa5zF98GSkokdQ86m6+93lyrK22qmUvS1969Pcs+l67cF4uMghFhF44Z7W0/zqmVbQOSCp5BzF63nePWzkMmsUalnqp4jISNwITaIaesj21WDOLHvf6QUkBKYdPYrPP8TpU6gURIbaFWSwFNcyEYu5LSJrl1HyuYwQ1mFbBDS2HXnaglye6PdLulYcMny5tEj9Q/op53f/tBVBKOnuP1QXCMEoRDa6+dQ+R/KrNziOGkNXnr7XrWDq7drkP6QxfajAbftQcVjlE9n4xUGECPju7/X4QD9EIxBHeEfU24x5ztXEbzbAAbgP+NbcSUknD2EMgFKNYiBFJ2z0ibQ4vr8X8goYzOuX5tHYv5BQlTvrwnRrKvet+1t5iB3KL23lkjnfzZvkrbE+Fbu/dq8+ddDo+f++L6+o8Ylg5EuyHOPZah1pwMY9JESuAYPMJbwQPhfzKgfIuz3M4x+J8B+3zDyQ4iFCzEQ/o5R55nDMLEEPSyCs+IDHWBg9RlaCOdGpzAtELP8Garo4QSW3aYG2uDLtGDsBEbBl8n6zQcoi7wTuC8Mz29fn4R2wWNwjg8jkLUzCb2BB2dICz1wb+QVVOO9I0gUww6U2Q1Dl9sdQbcWVuDuyTA05r4j+GqDGVge7IK6+zqCXFPcwKBjN5TAzBFUReYCHmL2QB8oOoLXWTj+xBz+l03QO2SOICAmAHxzeQoVPXAA6VX4ACjxM+irjw7g4WUeIPrJM6gTfDu9s+X6EwfO8+E8N87z5DxnzvPnPJfwa2BQk28OYM1lDiCjrAeqweUIRiizAbT5/VBpU0fwqigLUJo+AuVKcgQFWJgA7vh3UMoORxCNmAF4GP4RivnVEXyPRAdIBsxBd+G8fbhBDeRKPtPg45KMQqxXxFU64Gy9Ys9ZYs6aRlRjLs8zR8IMr/AoRDhYji3s8s4WCym1k7MrRF1ZiqjqSWCIKyKmy6ZOZuVOv+SWLHrImHLExZ1K5rfRvIkSO1YXQRTR5bfhVboBcZNczBu6n257IeJpMq0R1WdsN0s+m32KjDDfW12gWnN1ahP19FpzstipQabmBZvC6DzKy0+9RIGA3E/TERof7ymfOj8fC+t77hc3zv3cNog7I588/LncKVSPK9FkZ02qR76K1uDKTo2U2We9Cjl799mHtjM8Gdkie8PL+z4G87M64XN0QzRr3HKe6D46a56PNMtErDcX38kn7VQ+uofr4FnwGoV7YBeXXEL28LnBcg2NqdnOh9vZ5TQXLlZ92qXgZhhEva8uc6Ow8si48UWNNPODEWELIdM5qbT4wBzee8tyJEkG1ENXDVoT93YN6f3DE72GOAoNatjwnowWbHCU1tiHX3ls+zGvz2WwiHdqe94oo6yBvMI10b2qnuRxlryb01W9p1I2D/163b/57IS8LAmQmWPKHpgIsFvBMUbQWevKdttf65MDVXjhSKSRlpEcyJFoF7AjK7hK1DtFKNWCfJbQOWWJB1DjYeiY5DAmGeCwEHUsK8+T4TMp+5rlhwZbxu3JLOXF3hGv2mBfmeUU+t63fJcS59Rc3hLMqyV+PjVvaBljkRthOU1+qmOhcTIt6596uPfY5UsLzW7GN53eFCkbgqfhH5RPjpCYNS7L9dieIs4j/hmHfglx8ICEdx+CffbyO3/TOVKJSJGWXAzxkyEQkyx8zmEg4YYXZn6PwjmfuQh/EUKotsMroOfjG/hLivTCP0+RrpxPkSqkQeOTT8/lR31/5EfHdf9jVaVkuMFQeSBi9yV6eA9hVu3SGdBHOQmw+BdSuWEnAOUXKnv8AypL/12ZUsQ/anCidh4SY0yQf9tiEoLhbKaIC5n5hco/aPy9d4TrJ5UJTFsbV6mJgV2mLBgdtfkZlYPhIXUDHvqlWP+rRt3+3qz6a1oUYVb9v04W/EHlh5UVvL+j8nnKngSwwJ652IOVPBJAfpseLCHsBjjoawgUIN2CWWZag1vdnsA6fJlEKy3AWKwYYC2QDnYJyx5sU5MBkJs0YXl0N8Di5KsA+bYfbEHIGox45wO8D6KALZfagSPXIcD1h8qwqqbroNf9a8DGnCfMacAKpFwJAPqCiWBh8nbgQpgi0FsJgT3Tvw6qwSyBF2+cYV/srMCq45A/UbYpBAdGPW4LHhSqAnx3pWC96zYg7bvrQMkLW5gPqhXIgBkGxH2LhbHDt5MgfAudJ995Ip4n5XmCnifreeKeJ/FeQDyM86I5+J4xGbBBToRxBZuD0XRJwKuoJBhPnTkoTJ0IyOKmwPhmzcFJ8gSgIiUVJkBqAd4miQfIKNJhQioWoChhHBCalwET8bUAp3BjATK6hmBdoQnPs3Q2uHz3bL3sfq4X2dlRmrTPt8Ifde4W0ZFfAjtS7h1BITo026YFI7UvNFjc00lKSCliZbsiOT0UJO0o9vOi7K0LumVp2aWqvS3VM2vfV5lvtAWFTL2KVX4tTvRMlpqGdkGXbmZNyXrsWSdLRoRLYVTzQHeMd8fh05611KF3PKw7pvZ3a0M8anYemCVkSUkE8GAmjVBkH4xfZ5FEodb2jI92xLIdCQwJ5RsRPRBbCC9tuabRlH7jJXl5i1hEvX4CcIjlI4lJb18Zj5WYSVgpICptWz+mJtfuX60Qzn495SNfUCMHLHce1eveQ6jgS+/PBGVJBHOb+Qp1ky9cMGK4R9SuZEIW5FirlLfyJSm19NistlN6qtgMI6kxvWZLjkTFuOgpVHNEDAooZ6faLnoJyATGDSjaO10HW/oZXmjPcm19fqyypXUh5HZ596AQiQxpsXLLexqRy929pxsndVsswZk0HQc2dk8Xc/YIUm2bY4eoyMXPZhmhs+X/RRGLDbRidejCq5PJwCsmJYw6N6RtoO4l5uUw5ct1dSPITg+qJzvIUPWbwhK0gJH7ix1V+IFTx/a7DY+4zV57XYo6nrns7ufQsXVU/+JY3GtYX2fffTchz6NvY4i5l8v28LRxHzetwH/5M8OA3L2N2JM6k93iQ9rX4dkvfYa0qA6vSg0M008WN+8sYrTrO+/ZYSkhzkD/GWl+CWLwkCOl46l79iv0/UkRY1yIKZhnW4ZzN/zt4qPNGhrMk8wqqQpPZ9HpwH065W4acsa972N97aRl5X8ZZ3R2ytoPzOL9n8YZRUC/d2wS1R3bvpoT6Nz/0a8JT+QiOkSuf+8QkYSg9EWPnyL9kbZ9jTgfJld3twgxUSFLAS6nUZB4s5f04xQ2Gv+F+DXhyB39Bb9u/wC/kn/FLw59WZaF1gJEbZXZBgNc/CmKKWuV83LX/264LxcgxJr8lCCDG8D84yTrpNcv5fI/9EM8GbPP8BsKj+th8NhZgWoJlh5k/hcaU+EMpqBAhyP2fzKlUmDDDak4lFQIQyoBPjEJMT41ERX13xtSqTqV8n6H3/M4TbDMgg3BLM7OUuMtzoI5vLUAe/TigZfTWTC0dQtw7msC4ABfpiL40lzISfoTRpAM02Fcphbgw/vxwEpqOozJwwLkV0gE3rxKh1HdtgCrxpOAdvwMGFGBBcjpkfInNHmqpcDCds3Bp6WJQGVECuwdrgWYIZgMzMDgz2G2AD1aU4AFmUTYh1RzsKMgGbD3ToQllpuDxwypwGpdIkyhxRyULE77E3KNBeJgYvzmYN+dVIDTLg6mDJqD1wnSgW9FcTDDy+bgaUQG0D0eB7NxMAdz4NvsPAbPo/I8Ts9j9jx+c6wSYNX58O/jZwIuK4mw7Vfm4E3mDEDxZjJMBtUCtBRPByiP4b+jhAWorZEGrEamwfocLEAZs1QgMysTdmXYAiSLSoYnqp/MuDRsZCHW61hKce1svTzP4VdHjQSJFH0TsFtSxlydZvJjWL00jZkCLL1GYaK5fE9KE+eUFOcel5QrvYqo9/Kr9rhEC+bwFMY4K8eBr2WDXyHPSOmlb3NgxS/pKijIbSRtHLdt9OY89MZyQtlRfe37iZnSMSrKjGplMDwuuojENSHO0q0K+WAzfGuMqu4hvrT2pyPG7AP+Z09cnKiQ0ppLoh17nBh8fUxEv034PsJoaWDr8+kJlMje4zxwfX2FDnm3ryRNIL7Y0eLk4VIWnvUBtmQrL3WwvSwl8vsspZDL8QQ14U+vDkfk7ka1W7sPw+5tzRm6sbEf3F96ou5Wril6SfxjYqgk38HiU3cu7MQCwoGm7VHKbHuytZu2MM8n4SWeLi+eQXUJ1t5BfXQOGuzGPU8Opu7ELz2w7fGUaLe49KjChtfvZOP+UroMj+LHKv2dtg3vDWHfwIuii5OfjqdDI+y2EtyfURw9npbZK6jAmU4JWxrd7XG1ndw33IFgf3tYKZZ7sR9B4idc0SR/OdZUbJAJO0KXVGXGhqLUgiYePUWBVCxb7LawTLYVGbvxZNiAU/0Q+Yewdv4ay4WjzRGM3QIfv4p80snr840ML9kC+u4l3H0dLXzsUzhhGH1TDf4p4RqKMOeKnEqXLbyg9fPBFVhLkatXXWeZfN8wLyo/598z8mH8pUZritQI0ynwkWU3mNdef+9TIx7lz3D+NxDmvBf8vXja8ZtmTVFEs+aQmNfxW2HCo3d/NG0+p2u+fCr0Kmwbz5B9da6wcn5z50da+vxh1PTxSQ5nvlx4RRSO15du2y6UZ7ONUP7IV9//BkH4cnOCkoZXA+KLGRZOnsL1b4SfxeEg7ByB8bwIfvZoSkLo+qLvfC+cIiMKp0h4BAZfbV91+IjkESBZuq686K1g6vgXwjfz/mbeL/AN+gdVU+W/doVQ4T7AIOEbhbwd+8yQqPTup0VXbtCOjr3sV4vuD+h+b9jkBZ5ryio3S36C1GpHiKJJfIIY0tyFURRcA/fvJAEt8KiIgO+Wbu5/q/ZFVE1/N8rox0jBP6qmFD8PPD030uh8s+Zfq6cji/wvfgfh81BlYciFJaXAAVibDLynK4AF0VuAXN0pQDptMcypyhxsmUgFLsKXy0TSHNTdTAP88LJhSDwWYHN0KiCMmwvbaDQHdfLTgGXsAtikkjk4W58OvDpMh7l3mYMz5ulAzEEWzELPHPTyygAU9nNgOh/NQMy4TIBjOQU2e80cxJDMBKaW0mHDy2ZgrlYWkL2YBYP5mIH81tl/AmbQu0SY/q4ZyEeYDYi/TYGBEWZgO9sdYOM1/KaAyAw0kMkByseyYIzwbbUE30rnQXf+RuA8DM9D8jw8z0P1PGwDr92B2Q5fA1/b5AC6CzmwWlQzsMP3DsDmmgf7JmEG1sZnAwe7+TA5RzMwrygLGLxVCIssMANjHmUCpVjFsP5hM9D7RQbgk1oCI0UzB60/pAMzg1AJq0+vxhDr1aKx/b2/zv2PreU74Xiny9Zoe3qvjQMi8q2R+eH75HdrgDdf8jHli3XAqhEYF2x9rOZv6ZCT0mWS3KWwvFK0ys4qNqA2y6e2is4qlmDnv5K8Cr4xSWI1C7eRFxevp8l5tdrRoyLOMC7wYlWcdtVbVJz3IlLW602IqwL+OgJBzCN+jn895iVFaHT9UyduMxWQ87aG/GJcwRrSaB+UI9ReceCpd9AoRfgPF49J0gO0H84do5BJfHLEGS+EeMQCBlKoTxDTbc+e1zmn8A1Loh+lCmUcpeTpm1okxKljop2tWmfna5/0NFBoh++Ed8GfS3cb/TPKMKOnxUko/KnI8V98yaz09ET+5sr9flnDL0Ih3cyB32RhFc9GzjtIweujnu/u0RkdxEw3tOYFvRa9TDMoINm6+fC5Aurpm4l5hlJDL9qCPPGY99Mh7+j/mABgeVAYtp8181P9/fmclySHk+9a0OCQvnR8l1IRXhwl/JNJdUNhkmDx9PuwgJwDGbfgWD2zVzXlBNNHlJwMN0797vufge4UyQGRhMX8qrtbcojRg4E0Q74uFs3rI/0vJFFFwc2lX0gU+A9koNLfDbadO2LaKZL+BOmp9aS9VPsIsn8tBQN1oPFvRgbwAmESUK77j/kA/D9k4AlTaNjjqMYzEjGEXwPJlVIAqtgsmA08zP1Xkejn5B6yH5N7/vbIbURfIg6cRFTU1BSUmJiE1AQEhES4ONSECP8OPi0+3vfBtnjEJDSIgbeIiNZMwBD0OwKdJ8oE8l0YsYA5qKScBlcapbBeNri8ykkFvg2Wwm7RmoM8GylAxONSmASJOcgAX6b5rSIYe68ZiMOVAXBMFMFuwczAwph0wL6jCDbeaAaKLqcBmzP5MGlrM3AENwtYeJkPEzcxAzH8MoEPj/NhIvpmoOx8BnA4nAPTPr4GZm9mA2WtObC1r9dAV7tsQLciB5awfg1Uns4CDtJzYLyL10CaK1l/ogt6RxbMKusaaD6WA9jUZsHuJl8D3xjlAJ15WbCFmGug9vs7ADN8O3HCt1a32Z0/RfzzJDhPiPPkOE+U86Q5T6BEgjsw7sfXQDeTbOAGdR6Mn8oMfG6QCYwW5sMENM1AD70MAMJWCBMKMgPptNOBqsoimEitGdgLpx2lYAlMbMYMvKmaCrykaVeoL9FGRazX4S0y1LP18vi5XnTJcmqvLUmjt6IMNBQ1L912O2m1rRNTUJp9fvWImQhDuUXyrmLcYyXMUN3ZIsxL4XvIJeGaRbPpsfudhk0WjEup17TGqt62LGA4lHi7BUQvyi36DU6kzOwKKLSX1M/XFntdE0zRXb+Ba0sTRgFJdyXApcsN66r/YjO1aaFJaG64IJU2Tn63jRNyLLRTjtoQ1Hdz4pacwlDRqVfbGpBcfXlwlWpV1+1aVfwatUci6v7XPuoQozysAnOMtvdC6aaYPdZ9oXyKM2WMHwyDp0Rl24hxF7lV86meEvUTRJpEXSVSUb0Akdne1o4YfAirweu87h3x1hwFwo6ns658PwfX9EuP5wY1jZE2LXVf67xe7ZfWRrhhZ4vm+ubH3qB2sMxj4tjow/5r/XmRDQdJsv5rqMFutoeLPmqo2oc1vrwdxzYW0MP0fJxncekCk577V3Qn7l+8hzslHBa91icN7dQ2fiVanffljvvUe9nyIwLA4snITnVOAQLB2eIaob8x0kIeOlQgzv30WnEQpNt3Z8n+WNqAcpHHZrVhYGXhwks4dhFnf4aY9xP8wG7tFMuFP74mwbjz3N2Q2Eng9tkcHoQ/Fl8pfMz+2BYDjmGMEomY7TD7ZDnGiQkA82J4P9pwtFzXjKgaBIH1MfiPDs4OsVgIt0NKKXdl+XLJCP9vQtb3eAaPPhoyrkS/MdJ+HxbwGjEswJS9+rjwbcx0Lc9E//sd8vYszEkuOTFdikFX4anap1ZVNZ0rvxhpPf9kpBX9k5F2+HXnh11Sp49wDodY/kU73mjy8ymGe5d0wtcgKItT4QcYg3+UQyVPZcdaBYPzfsCYFA5jCDwDDOewfHwIiQOkMoDAuokBDuJj382SATeVz/9CELskeSj+AuJx/P87iIv/eK6YLvyPn0XwH2XRew0/X9RS/TQqv+caJEfk7RFrHhVsP4/4ks4ovDx6SxY3WIcRmk31XmdybhYiFU21mPiGBrg+2aw6Oz8LWYkuhn2EmILunFhns3sYOV3B/vba/19BTMfOxsbMxMnJwsnBwcrBzk5Px8tLx8bLy07HysrKwsHBwszJSUtORkZOS0NDQU5NzcvIwEBOAwcvNRUVLxUjoxge/JGBnp6HipeXW0BSUliIn19ASFJSjIebW0SYn1+Qm4tLgF9IiFtQQIBPlJ9fVISfn1tCXFxWBgRlpBUVxbjFxaUAaWlpAAIRk1VQ4JaUkBCj4uGhoMLDIyaipCQhpqSkJCUhIcBHRkbGx8MjpcDDQyYkIBBTwMPDQMfFRcNFR8fEwMHBwcDFRcKE3wAg4eDgXUBGRsLGwsIihD9iISMrXMDDA2UUFVVR1NQU1FBQFKWVlJQg8vLycvBHaQhEBUVVFVSQldXU0NFRvqijg6Kira1zUVNTWVtFRUdDXV1bCwVFWxn+fS1UuFFLQYGClJISBn9b/VBNK75XqxDv8XdI9TlfHEOjxXC7GfWOC3kUSw3dY4ZsS/Jpseje13w6I+FPryJW6W8F7E2R3M6kEu8EWsNFMnCergP42pmkTK66KXdPdSgf1Is3MlqKG2QSUJV1RmFNdK5PLnbb9g23N26Pvdgf0NE/lRl7ELUw0VtUBq3UE/HmtnshttQ0RnezQj98Jq710b32znppPJVHZh4CW+7q99DncYztLIN4ZFzvE42MazR3HH0IuZggrkyTT/3VLTAX3QfbhPPmi855erybpfLCO/5N29noEIpDu6bXnY3LYu8CX2uykPCLX/HaHBAbbdtiaZkvJuciKkw90mD5dIuconB3pPUh++DtMSvHxCTTBrw80irFZ49SnpQ/leQxjN5odUm9c+2I+6ag/KhSwxp/sGcu/im9pHZiA0pJ0LtY9xm05doUt9WIW1Ih8mU3axY3TkQZXT6ohbqifWy4TzsU+TrV3hm6xzqJ3ioafknga9xHMnHdy9QDlwso3g5cfWicAlqN3fL1G4ndd+599ClP8ahkIpHnTtX92XKdrpzH3k5LCRwrctAmr/4okl51m8xArr5lJ8zPGvd8CKS7sxtXJeVItAgMtIUa+xO3Hws9cnysz9v4ToiWTHN3Q7pLUWZtT4hQs4yhLO7EkewdjwmoyJExmxZEdqXFgUodykX22p3MzphcPXq9RSBYzEIVfBE7bc71PjQK6+qrpB7u4j0W+aUqr4wrTYzsS+3xGoGtsqmBqmymZK4K3jGAVoezewAsNukwzv7ebl6TnsPzBDu2ihPv21yFhoBZvlaxgKakfEfYZpnKQatux0qmCeEniZHrpREZw+SsN3KW+s2wqj7xqtEJ6XnpMXM4EQu+M1KHksq+vE6BKtrmUt5ylPGhwCrq87PIC7VKX76Ki4i3cCR/4JtnykJauyN391Z6KwNm8sZHrW6RmJZRdkbZFTphDOL9x41oH46qYjUWDAKfPL/V3o7uX3qtfSVBRdZ4rihQGd/8toiCma7q01H7PAmHjoG71H1thl183CjyBlK3n8VJWohPv9DUvnSZbGtRDP0RX015RzXzurN4kW1lwTMPJ9NDHSmPDfFLCqkpGSY7mFO+6euqS5Itmkm9JNEV9m0Rz+lX3A8s5eR8nebrKOUMRl0czB2s9dPpITeb7T3zElRZ/TmdXXJ0njzc4ZKLMr+Ztm0hInHRkYl2vWRMmmKXLHP28yw+9SS0kOOw71XadOkpkpzkAw2WZ+9uIC5T4lqZ9rPLlPmPqOg7IXKybhXyMtHz9GCbZi1edbx0Ve9bshUKEqXOR8FPL3babsGDpTADHuvZPwu+8PPq7r2mpm9JCduqF1wcuz5KXO59w+bemxzifNmNbfmYtL5UDTQO7sdKHjXM/Q8esY6KjpWU3RiWvJb3+UWSWxpZKRElDpmtNu5ljUwJrBtYQVSc11+eDmzMQi+3d3ZY8uV8/GwxbuuhLYpq47BVEMMxIy/QIlzvUbjgSy8P1bV2uECwLRIpmfKiM8uLmvd9d+fbJuKWVYeojuP9pVjhjscvAnGFHoX6XU1wGEKh9K9VeTuCpVswCHtYYnVl8GVXRSg2Zb90FARcmXbx5+/r9KPM1VQt68JswDDMZq8Mz9AmyzkeArsO4l9vDGiUnE6OMFfnnNhaGr6hT/BWxlIDP1UcBJLRWniPOGxocRqx6ia1oUnbMdPdpC4eeYOxPqdCaAaN3KpZmS4wCV1/hH3lC06pkAZ9HtqxIG8QZow4TbrAk/DeKXS9tAeEV+wiUzjpC6ApqUke9HPrUl9EEqNJa7GV1GXTySRCO5ksH4tcshpYwLqo2ftycrjOXkODeFU6+6tGjFr+QOI37Ju1YgmPbWnuswO9/omrRY3aQtWNw9j9dyP1n2MbkLpHHpYRL/l6yb71UCnqKy4Yk9O6IBZE8SLiFNNZcIrx2zSy9OEepz1BgEp+KE0v21WB15/pqpms0k8yvDzanV2oRxoSbqp9EPVuCnMbYLmZUHtHW2jhstQ3qlcEXv6ZGV9DSu/sa60W6zDYVZRlOL1FnyntY07tRLesUNZYFkedkdLksd2Oda9axHo+Zenmn5BdPfZSlyhGydNL5M09U9aaL7rVw911OjiUq/cby75lCDdxXna75o/u6vPWY8EYXSyH+gkTK0E+VKd+m4R7LuMFPbQQfvNXy3Ba0LqSqfTzjul3twVoSEigmPL3o1teoP7YroajARdHjUgxNhnIii9ZRpIaF1npKbDwettst1/UwcCWR7GWXSChlGYteTRYrN+O/YXyExlRN9eVyNguYXOvUpttM6JrRBJ+nJh8j44fg8hx3Rjhxu4QrRv1h1McHIsBG72982gTYk5XytDCmqqvCswUsX2sjbfqE44RslQPIan2pPbgK+I1fv+Izl6G0fkSi6TOvlV1rs+lu+is957kJ6R7Hel426yocS+ecswEyV8I09eZ1/nwCK1lG4WROrj4oiq/v5WWnb8E4VH1WjuWy21f6VlnXM4Llscvnm318BRRNtSp3JTaFJTZkhEqx8ce2FimqtsKuoatWdi6zd90+LGsyIShMMCXLuauqklqmpwxMJQgk9pikLBX/q0HLSfH8vLrBiOCZ++H5w/GZ6w1cI3Q+lVL9OKf0PJNZfRdDrPDqPJ/TYbCHEHvYzuJH3bYFp5r9Qn3/mYH/WVLXTrU+xnVzvqsJVl9zw0bMpJ9WjYFHsYrOaJr9BxJ507PLD78vO15ZQ8afPqioM1XZgEjqZIae6+WTn6P7Y67nM3m1+hDzAxDKlZry889X5hPjwc2K3u87PTYcMy5HCByH9xIopJ4pwNNBzv6XXc9t5M4gWayDgryh3VzyYy+a1vUmA2kRvI5PT2pVZYNfegOMw2h0tYWlRgLWxu3ccJqOk21PGHD0etXliQpJ7ldUG9Eeyf5P5VZKB/39GSwXiIz7nHR8rcA6wNv3EAl4CrwduxwSi8PrHJ0mVNQRzto8Ir18N8cf1WTlvys5JvxXTqa7Z7uz633PJPlDsqEed+kLZ+WPp8vgLjVh7zYVqTtu9MhqSrQ1C9PYQ29JaxgTisty3WFyWhALL2eK6l2XGoI63jCr0hP7etoq+knMlYsLsh2uCJn7jfhxwPD1NPs+JyKXI2T2f4vRbyB90ciLy9fyswOaKvDF1WIGNvv7W1kmCn7erscHtBHCuQE2Hrw4paGj7LSB9ZSr0Rr8gYK9aIWXtpfo6Paf41KA2nz47QSmJd7xjCQlnjRqffmpq/xg2hfl5frw58v5gXotI8fgAQr0HsmL+wv9m+pfXHBYWLa821qyp2olR1+zTFHicU9tF2SjIfLe1Wr+bGvBh7beNib4Q939rp8G3bHn8jfFts9yL8s+cnxtd/nxNfGmzHvObA4rrn1XbjzuVGFbm+P/5nBRjdsJIT4s54x8WX7kBElPpvplHvpD3gcvm4GlfX6WVGhbMd1x3bbS9+feETMbSSyufR4sfr+5DHsVYinlRUWnpFvJctBPGtTQkbVdeaAfufG67SCybB6x5kgw8VbPNtBc04OZjpG773D7lqbF9cZKRybl3OwnOSL2Em2Xzu456CGEp+TWT2wLvohqMcVWKhCW7w7ccIhS71AH6e+nrpyS4iDQ5IvOSrAmntMjlvu4iq2Kx9PPbPm672FIxJ/Rg8Vb4+C8WRL4ddDK650kvlcd65S7ZNPJolnC2i9VTAbquC/QRDqOVtbTi/7isBDQVdoN4zsDvcsHkbF7nXy1fdWco7K9jQb7+j4mZgqV3Zhz8urlyJ9kAQcpbC2F185SfRVq40Zcb+gGgkX1JTP87yPj/exYX5C75D/CUWLoE/qiyYtNpmLftCxmwHox1L1FzPEoMVHAp9Q/F7wCkqN/QtVLuot7YpfVO6Tf6Byg/+qcn8ecor42N6AQCoURLfHP0OElfgiVUxWIWQsBWoSgQ+h3Y3K/ZXJZ3MNtC4OVLQRyh3IUizPQvQE7Spy4Sr3M/LQOCX878X4dbBueE4QMZsoxCT1bByeokjF/68qF05GJC2UCxdQUbS0kLUuXNDWQkLCxFBWxlTX0UHC1NHRgb/H6pgaGqCCmpqimqqqlKqKCqamhoaKspQUpvLFi5hwNUgkoKxMpIyBgQdXnaToeHgE+HDVCVekhATY2LjoaGg42AQEOHi4uIRw5YkOV6zoJMTElBT09MRE6OiM5DQ0ZLTk5DTktLQU5AwMRJR0dEQY6OigmqKikiIEIq8EgSjJy8kBqlJSMtL8/PzSUlIQRQDgl5WRkVIWEIDLaiFREQkJSRFhYVFxPj4JEUlJcTE+PlG4khaT5eOT5efjE+CXkmIgZ2QUhCt3QRZmZgZ6CgpGuEqnZqShEWRlYaGno6Tk5ODlFWTm5hagExTkhat+ZiYeHjZednZeuPJn4uXhYYardm4uQUE6ASIiVUBREXH7HLdo9n3IXOF/VO5IiO6oFy36JpIPFvd1bI4LJRKrStjEbGPTvlMy00u47jl2r4J7xZ/UvteV7GpgoeJ8mD8qHuwkrMwBUUq39MubIypsjPGixTJlmwwl1xRmjVwDlIiqv02tFAQUnNJXnRou85HNStwpt3zbT+ZwYHJb09sEdjqkaVCvFdG3w720bs9qWYXZLF95y9rZi7TxYrylOnvdSaPWvnqEiYTZF99JIqIaNbvNd675mOX6q/SQNp4uc588tMJAun3TDEv9OGSV8PhHsvw0FOW5xVnVpB+5usNrRt34ygus0th839pE9+JIawhkzfT6fN2sNlbdukF1mfqroOMrvS4qqomCpZnXFNLYTunFcgNI0aa087i9w+R6qJBt/NTWi4nbJl6EZKZqijRzlPO8aJ0ByqRu5lElAi8tTlHIgvLvwm6Vsk375rJs+aNl0o+GmnQPz0qQLb2h6LxHnugim8Fi4kUqzqtVtMBIhv5mEUlTm+3xxZgnFMbvgm0olB8vTDu0MzVtEKasPL1Aw08euryPYfDJoKRYB/dqzJaBTHFXJj/XXbqkchxPjdVTcRrigNkK9xRsDjqPOrm50QEV/GgrYcbjQkxp2pczK2IB7e/JtPSuccdv9YU9qbhCPV4BplzCfH0ys1MR3rmVLmdxlVB730iSdnsC5Q1FoLC4556RKvpY097NhzGdMx24nEPCDU+PMerqWCg/yMUbto1ZwZ5+TaY6jVCmFvPVakS7S6W5dKgrhm1TUXDiHsz/EStP/WjKC+2pL9xowQHdt+bXlr0yt8WggOFmfSqcre1sS8ePF4tNHraWGD7PbucumYYRI0PzjjqcfDdUIh733TsBFOPVj+KFkvMtg75mxv1VXyKfjK84fSlDF7Nv0yV8NZgnQm3wJXDmeMn7jURZ++oGeUe2Rfqas9GnqnpBX9qApIwD+834KY1szGXbxCHRpvk5D7ehSatwfDx83iAU6e2ed50XxTKP2y7sWCe9i/ZzcOI0xypcDega/Pzal4cdtQNddXzVT0x6I7JjjxrH2SGzqN2I4HEtWdojaZrJxu0Zp/Jb8WzYq3ItNAuQxVG8B9i58NSIiXPZNs7dpWue2P5RfF00WdMv9FlarBsJd3NRQwjzkErHwCDWrcCTT9P+fRO8PXQ12PdxH6Yd1FPKoA8IkhprKlexUrq/Rz0SpMkXVq+r/MqTvf6gdJZQSEU7G5AyVp107G562oMbbvZ15/IjyrRUnmlzgd4XcSYpujOIa5bizvDTXyVv/WkUXfnxm22aXaqkeoToZepGR1IdwQgRI7wfgJC8ETdVv2sI3f9I3gETtTR32h532q67KAVg8wv19DKRzii1uW8BqbGP3DbECfZBmZaQ8LuBMcZPWAl4+AiH43gf1wsSkRHni8Rf4sTmyH5W5qlppGKhp8uNpuCld+r99alv26bkNZfJa7X0PA+K61DuFsl8SFLcsmxkL49s3X31wOSLEOrB5DP2Qio9FJf8QaMwlnCXSSNX5CMadrsN2k7nAA6vfuH4xHfqvXKBQRzj5iJ3e+n9px+2h4wqfvIjdnguu3NdI8x/XDEXF3fnZmQOd//e64aLDX7ksg5X76JmkNnmy0tvTcZSP6dmw6AcYXm75Po4wmet6lGyk6L+MjeejkkyCzszx4tNphsiwduDUk/pOz/cfYaZ7mntaWBHwqfLZahrYFxcoK3k14x3lS8GUz4zOaM4VPElo+29T+MKWJOHl4pkbyiqNdOF9cbuceIJU1DxYlHHN1P5p4pyutjsPdEM1ynDdY9yOJo+PZkYvR/Q6ea4KTlLThn7kQGUeNvtYwQkobso1SERv6XkVRBv5LFTsY3GPWyhn8Rb3Ax77/PwglDLhsCDiC45QabSB/rA++x4qquwieR4r/ELHgHX7VjQWGWJiBY5gbfZaBQ12XWHflwLNAmUflejqi+j+O8bHVfTx9oRBYWgXvFUvrgmaDXGZSU2FbEQS30ADcFvww5wPu1xY5gqwpJpmytKbLGSXObhcrtH6PD1eqyL+MyDxtjEZ7hNN8UihRVVRGONc/btO45xUTK6ya3U/FJJA2Ld2jS0BmkusC9e+myQgvx+5BJXSBzRKRLePs6ECX46zt/w/qeIrcesvP79kIX/iNixINH0q7QYm+WqL3m1RNATzFryvuV5qBlreb/YaW5NJGO+533dcZBbJVftsjpbzMW7xUqPhovtlfjqtf2pNK4/ucu8qCbit5CylXmb7csTiUWnxdXjDc+23cPm3RNPrNlTHktOrpquWnRMcGFm62JlfK43y7fb5c8bcDReug1hxHOJiXtQHUuZ+7lJu3bKR22DbAr9uL3xCwbq+ItqEcbUmMt3lS0i9QxDNd+G0TN8qDpJTTMkGvVDIXyDu4p8ffURAxCKV8WjCTCXeLyOXxKnPggqnxDHiEd+fT1zu+AeUwCO2CNzQaTGha9f/h879xpWgwHHcXzaUqILXZByeixMF/eWYTFyWalmyqWLYi7RsWpppBMl3aSl6LqFhC4SlUjnmGlhLp3ILcopKidOJEd0sWzeebO93p7n+3n//z/P/83/eX7/F/+KmtzVl5adUjGstrbJ962QRyiS9wVtsB/RPtq3oEmgcTGqWXxIyzRPs0C5bFCBam5Y0tFJ8baOleV7e4dbpqat/aGs07SsabGydHpqZLR8pHHZ8hDbBS/rLRPP9ZmXYPFMHFxvss8+66b9aE2RsJ/bGMe0GMnBWYcnlPg+dGo/8jq29tXuFyUyNekgjblvdY89Gmx4YODg2b2Gxpp1A9P8Q9P6GIakpw8JXNZfssvorP6AjycbeVVvtAxV8ZzXpROwQJCwXi2z+qHlK4u7EdeNLW4JL5kpnx7IXNqQFJS3PeZlt+N+q3LZ6PzNLaleO7Z/L+32iJArRRZqrqJzc7TUEk+bepmn+L7RLayJLnPsTXiYHRaX2T48aqiwKaVjk9mmbeaSZPM7zVVeWRlHH+QpnPVuLZHb7h+2MlOiIbZbU2wg6fdkVNsDI+dvc58+jvU+0eF8pdowbmDuMfXpRW79u++FjxvmHpcgaNzZvdVC9aT0YoWzdG7BNAP9yqINEYviZV1qqv46bi/uJdU6/H5lybU1/uPVvsibrX9Me91mp2kxp76eMt8oy2phU7Xfk8af+i5UVxtZqXshUnAwc2Ox5Gx1iM2WzFGLtRvfPG8dNuL4kKo562XOrTccDR9n559Otqr6KmOMrt2fYw3ThRM/mXDmSItSXBjjLAx7dOqQ1pt+V7p6WmqfX0+0cXaLrVxcUjX6kmDmrYTVsT4nEjLW+pyP6js+6W1yTkWyrbulf21m5G8/H8tyKn88Ylar6YOrdR/deyifc7lsXO+KoDGe6lXPvrS37p2oPfBqZ/r5mdbX2258J90S4TBl/8apyk9/8ZCYN7iYymasU5zoWW9gapN7w74+3kPPv9V1xdSKHWMt7uuFeRik1Z900VjRWlp5LaTm8a69j9yiGrL3GB/RCij9zKlsbaqdWPt8SHx4+vGAhE7vyFy3HuPoOrNz+qdlRjFikbuiuVnHM8nLO3vCvNs7Vc0uxPr4NQq32r+sMRIJVuhblaoUrZLMGh4jnzPq7p0Uj8jOm/Fa3kPcmzZ4ZvucWaoR7LTh3u4/yqU+6u2D6iN1fYsTtQWCHe+6fSx2jk25u8dT3jUjybEmL+7X7kifoPbY+dIli/oobj5rGzBz+ZG8dzkBxkKdVcFVLcahAb3WdpNfxx+oOOj7455mkwNJn98PVzwvr7tcUqUnC//7TNPYO/zdSj/z4qseysGat2u3Ba51WBzqskoUWF2gZbIg+bXY9+h2J3OZt6JSNtu1trTHNVBz40X36EkDWqPqgk9G3PlGNUJVMNTB/r5J7rRWkbwiyLu9IyVOKgzPeCsOazpktEZx28/SqrNeZ+lxO1cXjXcqUTkOIW2pAUX/wwjbITqc/2GEbVAW2r4f4/1zvn/WUDgm530TFUmw44fV/774AQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAf8RfAAAA//8DAA== - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7L0HXNTM9j4OLL333sQGioAiAgqbEJDei10pAhaQZkEEKVLtKBaaoIJgQ7GLtCAoFooKKoL0pijSpEr5JctG17jre/nc7/v/oPefe/PiJjOz55kzmeecM2c2dPR0dHQTyIH+RQ9OBuQ/K6w3b/Hw1PXcts3TQ1F2hYvP9i2eHtoaShpKixYvVFdRWqiqorJQUVZ3p/uOnT4u2h4uO3f4OLorylrudHLfstHExc/W083FQ1tNbdEijYUumuob1dXU1FRVmNAvESC1rWTg4rnNZYePnxLk4+LFiFxn2TX5NeyOPhs3b9nlouq8jc3Ty8XDY6eP03ZGZ8cdjmghVlZWBlRC3rl0dIuQv4p+vJxsBOQfPOh/SoTp6RhGghjoYOQf6PFtgoFOkIxM96Fn97wUVv0zVemvisrmLZEfv7p0FLkfRS67iC6YDryhOVmY1xD5D3odbS2X3AJla2J81zdYcVTy5Y/T8YbSy3Ubi/uJoK2Fk+/zolKiB/oX+/ePoxv45dLk9Xz8Fcq6GwfSmZ+sbgZ+be/HPezz6cWJCyaCGIKxz9MOzJbcpa33nftIYPDCY583kcuwH39ybVqDodQM9m8JyaqVQiILQKwM9nkGhy/rtAaD9TrlNTwYjyKVZYGX54HEV6P7pyUYTEBMcErNYPfwmppwuKc8LcEUuO+XbteWBzHBKcFg9/Dg6nikLaclGEGhJnrLl7NBTHBKMNi9X8BplRtPSzCbSc/KTBATnBIMdg8P7vCTavVpCSbbJebJjCFZEBOcEswD8j08uKMFuUnTEowk6aGWAjFQlGDEyffw4LhKXihMSzAPSc+BKIiB+nUCEAXx4GwW20lOSzCTQ0cAxEBRgpnkHgHcBCAKXn1799O0BDOpES7yMyNAZZhxgXhwep/mnJiWYCZtMgJ5mHFR0QwBN8y4wPMfDEqmMZg+AAP1K5g+AA8uNsPWZlqC8aRizmAHBgZfb5RvxGRagsFYHQP1KxgCiAe3Rka0e1qCEaJizmAH9ozgwU08jLCalmAwVsdA/aoZARAPrnZNpd20BPOAijmDHRiv4MERrbn9pyUYjPkxUL8OMykQD26hUg7xjzFnsAMDiAeXGWR6alqCcaVizmAHNvTw4E7RreOblmAm+YULxEBRtof5L3hwS/eYCU5LMNh0i4H6dQKQB/HgZNaYxk5jMH3fTRXK9jCfHw/uflVu27QE87uIJnXbrA+4au5BPy3BkAXF7gVTMzTx4N5I566flmD+WTM/XADsc4Xpet4/VDN4Q5MAXpI8YjotwfxOM3hPE/tczj+c8sdpBm81Y5/vQPMmpiWYf35mfgQ0sM/xDFo7/tBn5ocLgH1usO6Sn5ZgfqcZfNwM+8ygOtL/x2kG789gn3dvVLg0LcH882z2IzyLfY5YF1v8h85mP5wz7PMop0nCtATzO83gVwGwz/nn06E/TjN4TxP7/Kh3h/S0BPM7zeAXm7DPs55ebvrjNIN3m7HPG+L88qYlmN9pBr+miX2G9PrN/jjN4GMA2GcNwTnTM6DxzxbAj6Vz7PO7xtWr/1AL4EdAA/uccuMA07QE8zvN4DM0sM9DrKor/jjN4KMz2Od9qxrY/5jcGfzh815PN0RB6Dsow5gr1tMSjDsJzFIQ8gp7+rRhGQkM+OatZsKDxHw6WdM2CY4nv7QHVjfdmJZgTorWXl20QxPEQKHXdrcb3H3Xgww94awug/dZAB7cmcDL26clmMkZSgPEQKHX1E+kAxI+zfnh8yoFI43VATw4P1HOoGkJ5gOsFp3Aok5eBtQggZHgYuGF0nvy6WAofpEhAODBAQrFWdMSDD+J1dVADBR6bYbi7Q4BBMzFJ8vzVFqbADy4sxd15KYlGK0tR7YzJiwGMVDota/hJ6Jmn+gBPlw5rdjQ1ATgwek63DWYlmAm12VUQQwUem0kL5lHa1sPkDlWCiyNbQTw4MqIq2ZMSzDRfO0rtiktIi82qZLARCQPeWjVjQDBaxpnhbZUA3hw9TEruaYlmEnvUQXEQJG0NXI1Os3vG6CyMFI5p64JwIPjAUZrpyWYJ9uDdlwNVSavNquQwFhejnt6CGF83j1m5wwamwA8uBkbSj5MSzCYGYOBYqBivuDBqarvfjAtwfzsEv+cpI0dy+bPzIi6Ifgd3EVG3T1/kKF5ouZuCz3Q8MZD3BDRBL5eSB1X/R+TpC0JHk58F8EBPrFZfHEL8ozgwelkFqb9MUnaSppmY8aNHGA0MJxrzf0OwIMj9B4N/mOStEND1yp0mPKCVVoD+XuvNgB4cIYyo3v+mKymW9s9JUu1eMHM8qKFjciwwoPji4T1piUYKSpZTTxO4vlrYsRAw23vHmohwwoP7umDU9Nz6RxLAMJAodcMM/JhKwQMXbBrd/tKjXw8OPEd7wP/mKymsMdHl2+SEUHApO68HrM0Hw+u2KlXZVqCkaKS1WR4UtPn+kIEzJyrPYZduQAe3AsPluk5AUw++ATyMJvMauK0/qbS8kIQhEU7PsazPwPw4IZ3bQmbxmD6yBH/yawmvPmCBxezpOA8JZiw48yP0c2btXJkAWdRIJSi/88RtmII0c2k6IFuTGX8LxAyUy9IOrDoIP4v+n2LVVVVx6ol4OOu160YM4zB0pKSkgv7+Ek98nKXJKxIZ/Q8McUY/RycLMEPliH3U/ml4EdxTXpq8cYgWj/uNh8YHxcXt/uaFGyvGpBXGm0MbnJ1bTtuxgfSvSk0pzYcSun+8846ie+sf2sLIi0Q2PWhEqHYFzbGpM8NN/jBa7Bp+bQER7ZyYbKBCDP8RtMISFenQC5U0xvLAo3AhLg4sXqrAYBD8HXXtARHzZRHwJhm6POiIGxerTUCEay3mCy7AVoala0b3DItwVEz7REQYrsX86LDr6FQ3wjVnOmn0h6AFujTt7s9pyU4aqY+OixhZy50Qlk3omhEmmi0+doAWqCvhRq8nZbgqJn+6PAb282FgvAy0SCBKHm6pwWgBVo52b53WoKj5gqgYPr72dEJJc5OYhJEyczXAC3QbnZjbtMSnDgV1wADhzxb21fVGZL40PZ2K0AL9DX9HanTEhyWnoWBJLcXbMUjgIK7Nbxh8tnq9qADaYGG3rI5TUtwWFbg94Q6Mjh5NgF0+L047WREImvWRXQgLdBSVZxi0xIcloyKgSQBRsi6K1IQHX7DO45PgrsVxQDSAn1CuzdwWoLDcqAxkBjPHTgrSAIxJ5T0bNENhBNAWqBLv5haTGNwP2+goGVD0gLtf+qB0HQG91P+AWZbIs/WfBavSXB9bQIgLZsTNhh7NY3BEWAMJPbMcc4UQEGs5k2fnDgM4plBWqCzSj2qpiU48rNGBkcgeQXo8HNhJoHbMnh/cvi5+zCBtEAPtS1cNC3BkWdJGAOJgUuK5EOfLVB8/yS4AgkCSAt0mX3F4WkJjsxvZM0JkMChz1LFMT7UhtRq3jdpieiEToKjBnpN5S6FaQmObJnAGEisvQlzFtRvYz46Ykh6tj6t6wJogf7Ckr9iWoIj25TkYSn1EzgEhOIh9UkDee/SFoAW6GhFNedpCY7sDcAYSIwKwreyk4afPeKUIpeCTxIn26UGuqqmp3lagiP7cTAGEmtvg80kOFVzI1I4YbViD0AL9LrEcqZpCY7sgcMYSKy9qytIgaDC0U2TgaBvXwYBWqAzJASnp/mFRb0wkBiJU4ty0QJtozjfmxq4PzrIi7dUsCAv8kymJrsag8v19PQ6gwS+B3mRiUhaY70x2P3ly5c2UQGacdD7Og2f/5rOomX5IJ1iuuS8ANopb0QSjMD9UVFRITFMJDPQYYYgKQonc9QIRPqwKPsQI03Dnmn3YeG/prNoWVJo53yIEIC1+dbozbhqROqkd36M4G5f30E3FkG4PZtRxiSZNJe46ofQdvGqPgnZ/1WdRc0y4+fjOzaDlR9O8YXF9QJIcVxVpZkMaCeyXojih83l3Pq3eU52VsI8eprO/gf3Fef/ms6iZemhQe4xXn50pGR17Jp83PwDGEidMDeaH308l/RuNQKRAch6dyc9zbCPxa6TSX9NZ9GyHNG/aRGs6EgJnttjCPIhR9aszwA6wszz2EiPW367Ielxjfj8AaAVAHQNCFP96zoLb4linYV0YtosJdIEb2jC0Pi9s5BOlM2dNTnxLzxRQzMUzNDUrP3XdNbvzPlVnhzonDWSYWEEdiEmgn3AZ1KnzNvBic5Zd0Z1jcC62traE/4faC4KLPaczfPXdBYtSxmZt10VVnOgI8VIFukUpFNvNYJfSJ31dQMnyXTgQjoF7SQehQ6ay0Or1uw89ld1FjXLOyc7O/vhOm4UfMnHdUbgSju71/3N/QBiOvi+c+Ih2V9vrIxIrNld1UdzofAVYcurv6azaLkvqKVuH8oNh9glsc7ebkQyUnWsvpJG0PooHvjN5b4Mf6RzkSaCUyx7aS4Zw4Hbfkqo7CoJYkITXXiEyR3ATdGDcVR6UOSJg0EzRQ9ekT+Sh/agIz2VHkQdMuzv/5c9SS17gJVK78aTe5dW+Brf66XkXqeVNENLG7SSaaaazWD7doxq3PKPVhR2YIspqKJoKeSfHFy8Qv7J8cUr5J8c4v80YUiOW0X/r1MUfrWLUlF4hdByrn+jEKpONy2F/MYZn9Lq22e/VMu/VFE/1lyxqY+aQmgukdBQCC2Hn5ZCaAUCproGDFuWe/51isKv/KOKoqUQWkEFWgqhFWygpRBaQYipZiK4dZ8M++sUhc8/wRRFTSG0Ahq0FEIr0EFLIb8LgEwlH2YluyTXX6cofBYUqihaCqEVTPld5IlakIWWQmgFX2gphFZQRgLa4v3XKQqfi4cqipZC/imQQ00hvwvw4BXyT4Gf/zQ3cOMOI6m/TlH4jFBKReEVQiuIREshtIJLv1MItaDTVDNUrzlN9P11isLnJbP+Q1SPWgCLlkJ+F9iipRBqAa+p5kmvZ5lH+OsUhc+Ox54oWgqhDJ7Fk4NntBSCD6qtIAfVaCmEVrBtqtn6lwv6mf46ReH3aGCKoqYQWqElWgqhFVr6nUKohZamumdEaBaTKDVFjdH9qqj6yrfmBh8r+PJbJxW1/W3VIKqoR+T7fLS+ZL3VfmDF8pZ8+wsXtaJVawGjxbffeU40AxPACCjyihUIz6/iZqr6mM++viOsuq4JSHftrM99+AEY6NRmrPzwFrh4c7nF6w0NNK9vyRgqYbBWgY/nzxCYm9Gb/2WFAzuzmxDoL3jNoHFPWP5IsLOupHoz8E/3g9XeaP2fdQatmJUfIKyLdAYQ4vfii5VabX6lmmHq83H0d724Ym2XEPIZz/o0h7/9mO+2CbgcVd8EXBWwq0VA5zNu7o5CQOe/eJ4nh4DOp3W9fLadN9dHFTB88dMj5hsy8xsj7IYrKsVAf421hYEW4fkMUc13S1SbgX+6nx9c/tMOPv/YRGs0NPyRHAfnFSXfoAWUMrUHDSNT9iqtABqBogz6b7OXNhuVEwKIv9vrhZZDT1SumRTfg16j9Thg5ZmQE93Tqb40WGkkbzMRW/qiNtcRyOXR6WMGcoptL3UQFQgnotdoERmBXJ4FOWWRs07I2GdDRwwRvUbLSiGQy6PTiwxaf19n5vzHPkT0Gi0TlEAuz4ac0hR9QJ6iqPoXBHJ5duSUQk59+hmZxz4cJrKR61BzHgnk8hzIKYmchqGXzb75ehHRa7QiAwRyeU7klEBO0cFEg0XpYUT0Gq2wD4Fcngs5xdH6HYqCVRV6RPQarZgegVweHTtiFH3A9Zu4JIE8NnnIdcI2x2bvN+Ulcv8mREZ6GSz6AJBlS1IZlpPaGULk+U20hkAuz0fuA+fRCQ8BliNE3t8EDgjk8vzkvt5tPn6xZnsEke83PiyBXF6ArFPsQK/RcqcI5PKC5LFjc36DhMf+UKLAbyx7Arm8EHmMYofgb4xMArm8MPlZ4GPTOnTcxIGIXqNl7xDI5UXIz9yaxZZyMrweROHfLCQSyOVFyc/2e87GWfJnFYkiv1lPI5DLM5DnkM6WuKLc+95EBaX2QXTSU0AHOLbxm9qB2Ql05AGI2ScMvymLliPbON8PLKiOXuck10f/vQw5564Oj6iLCSDiy1LmTuJ3AKPXRMj3UZBayJlrlx+udtubiC+LTaR0NDbbYrjQSVKFQh58WcrFUrzNhLaPyYtOnAtReQyVOdPubybiy6L30ZOOipGMto+1hU6m6KuaW3N4ztzmCifiyzJT2Hx4r4iJwp5EJ1hV5HwPORzTb40h4sui99GTjoobjLbPRG6H5GlRtEPNZcZsR3zcA22fmdwOOhGrIeesaxsPbCjwIeLLovfJkzXVQBcLuR107C5BznGhoOhPDYeJ+LLoffL4/iWyibbPSm4HnbDVKdrBl0Xvc/yE60coG22fjdwOOq410DKXeCU7zoUR8WXR+5w/yfNj7QJtn53cDjqxa1K0gy+L3ufCPStYGbR9DgrjZClyvk4M3xtWpkfEl+WmMGDwu6Cw9tF2UALQRk5hL+tzGwx5ifiy6H2en3F933CEts9FbgclBfQhv/IoSznNK4SIL4ve5/25n7/v7UHb5ya3gxIFOiGtaObb5zJxmIgvi97n+1nv37fRoO3zkNtByQOkaAdflp+CYPA7VtD2ecntoISig+qP5XqGlEcEEV8WvY+RDn5zCNo+2hbJYUZOCDmf3RRh8gwLJeLLovcxMx2/DwNtn5/cDko8uhTt4Mui9zFywm95QNsXILeDkpEecra6LLixycCBiC+L3scIC7+7AG1fkNwOOk8vR86hobmtHqweRHxZ9L7IT/38I5EfbV+I3A5KZPoU7eDLovcx4x2fM4+2L0xuBzWIDCj4Al9WDGdoUXIbFwV/iZONHvzx/f0F5DLU7nFTPKeSOKMGX1aCyvdg93go5g1pnNGCL4t+jySNe7wU85gs2Sih1Y4UFXmxe3wU86ocznHBl5XGGfWU9/gp5nnUNpn9m3ZkqODG7glQ8M4c5Jz7m3ZQ3LI07glS8KA8cir8pp0ZVPoPuydEwcvzkHP+b9pB+0+Oxj1hCjtBETkX/KadmVT0gN3DbCj0VEJO5d+0M2JXHUwyGsnK4DX8TWHsM2YIYgYW3jD8Xd3/9MAbnNj7a7HrGOlixtnvZMDqTlUG/EYfvOGM/cUMO7p/oR8oDV28IU1HMcliRvPvDlqvxv2nAzOS8cYzNlgpxwNmBOMPfN1/+s5XUqpJuUOtE9hfzMDGG96UxjWlDJhxR3ng605VBsw4xxvtmGFOGUViojBUKQ983anKgBn2eIMfM+oZcTJgRjflga87VRkwpwB7mTzWHuYQMOFkwBwIygNfd6oyYA4F/sX2mDPBjJMBc4YoD3zdqcqAOSP4F7hijggLTgZqcwS+7lRlwBwZ/GvkMSeGFScDtecTX3eqMmBOEP7t75gDxIaT4dfs5F/rTlUGzIHCv7Qdc57YcTJQmyvxdacqA+Z84d+1jhmYHDgZqAVc8HWnKgPmuOFfkY45bXQ4vqDGm/i6U5UBc/rwbzbHHD5KR5Ry7qY88HWnKgPmMOJfSI45i9w4GaiNB3zdqcqAOZv494hjjiYPTgZqzwW+7lRlwBxVfGAHc1J5cTJQmx/wdacqA+bk4t/ajTm4fDgZqM2T+LpTlQFzkPHzLeYc8+NkYPkX5mrMucb/mizmWAvgZKDGm/i6U5UBc8zxr7bGnHJBnAzU7Ad83anKgDn1+DdSYw69EE4GanYUvu5UZcACAvgAGioXJgelDNTsSXzdqcqADyZgPgIqF8YZdL9NJPi17lRlwAIR+Fc2iVGsalH6ONT4Al93qjLggxiUwRYsqELZD4R/oR+wAAgeC2lFjywHZT8w/Av9gA+eUAaLsKAQZT9Q4wt83anKgAVe8FgkyN/Pg+sHwr/QD/igDWWwCwtqUfYDLZ+Tsu5UZcACPngskuTv58X1A+O/0A/4YBFlsA4LylH2w3+SLDRVGbBAEx6LFPn7+XD9wPQv9AMaLJxFI9iIBRUp+4Ead+PrTlUGND42mwoWafL38eP6gflf6Ac02DmHChb0ecWCopT9QM1+wNedqgxosHUuFSyk7A+yHJT9wPIv9AMarJWnggWdM7CgLmU/ULNh8HWnKgMaLFaggkWW/P2CuH5g/Rf6AQ02z6OCBZ23sKA0ZT9Qs6PwdacqAxrsnk8Fywzydwrh+oHtX+gHNFiuSAULOndiQXXKfqBmy+HrTlUGNFi/gAoWVAYsM4SyH9j/hX5Ag/1KVLCg8ze2KEDZD3T/Qj+giw3KVLDMpFg4pOwHjn+hH9CED5X/MF6NLfL/X8er0WSRhVReuEktXk1HQwZ83anKgCaaLKLynkxq8WpaMuDrTlUGNElFlcrrLanFq2nJgK87VRnQBJfFVN5KSS1eTUsGfN2pyoAmx6hReZkktXg1LRnwdacqA5pYs4TKOyCpxatpyYCvO1UZ0KQcdSqvbqQWr6YlA77uVGVAE3o0qLxxkVq8mpYM+LpTlQFNBtKk8qJEavFqWjLg605VBjSRaCmV9xtSi1fTkgFfd6oyoMmCy6i8lpDaOi8tGfB1pyoDmmiInrTeJki5xoolc9E6sLpTlQFNxtKmwjvU4vZ0NGT4bzkLTeQiUlknpRa3pyXDf7vGinYcQGWdlFrcnpYM/+0aK1oBpLJOSi1uT0uG/3aNFU0+0/kP4/a0ZPhv4/Zo4hpE5b101OL2tGTA152qDGjSmy6V18lRi9vTkgFfd6oyoAlzev9h3J6WDP9t3B5NtltO5eVt1OL2tGTA152qDGiinj6Vd65Ri9vTkgFfd6oyoEl+BlRelUYtbv97GX7UnaoMgj4bBNGkKTYGil+eoiMbs0oUwXrKBVZ68nUeis9oUBUjOswpw7ZqoG1KUdzDFgjRh06SDEyGYvsRFhBGHwhpMlHOoPhezNhGB6ssmdxnku9jyQmM5IEkRzZAZpPvY4EczKGfRTaS5pLvY1uAGMkKmEP+rEC+j233YSQrSZ5cZz75Pra1B70vSg5qMJMdanqKbTzofTGys89EdjTpKbbscJIdv2Vkw0aTbOipkw1fNbIjoEp2jBZSGBmY0aNFHmD65AdOjzwBQeQJGSQTFJFM2PTkum2eW5rQQaFJHhR82KCgtmKCKR2f5YZ5p/jMM2wg4Veqsew7/GoAlhGHz/jAVnDwEUoWCkVSRuxYKRRIGcFio1AcZUSHnUJhlBEODgpFUXr8nBQKwP5NR7HqhGV1/C677286bt28vvaJ77Kbw2+l4GL7RJWYd4agi+Tty+3KrwAudfnZdKPMcJfj3JqKG8bgl31w3aCQIIgOuitbJ+vTkzYus/y6BbQFtwV0QZbEOtLGZXJZtRnk6eZz6r6xEwuKgfJNw6Yvb3cByypD9uRf6gCWvph4a3mmE8DHh/A2p+uzCKd0oBnYQX6leNn2TvhAnTE0O3gfwN7nBitutoPUhU4gT1Ew0tb3E4n1fD9/ujaBHPQoxFPkLyaRDLXtSOixQFfyU9MS8V+sb8xawh+Reu3GoivfAJN/75LqkZ47dMNZXNxHgI703RipUM61k48n83qOzPmqpYewu2zMTKzsLMxs3GysXDzsbNz0dBISDPRMzEz0EhJMklJSUqxMTKxS0tISkkxMBBZxRgIDMwsLO4coi6iYmDiLmBgXqwynLBcnJ58sLy8fPzeXLB8XFwe7iAg7j4gIj7CIiDCPkBCPgJCQgKCQEL8ADzertIzMIeSLIxV2upBETSB3y+5q+kP028cFkC7fPmACDR+5CcgtjIbrrc2hxXRc4IPNl2GT65ZQ530QtD5bBN/jsIEueO8AO97WwTMRFSkhKhJzjYGNec2hfCMW8EZhBizqZQlVmy0DjWY8gdvLraEBK0+QL+EUfLvUDDKKoQcvSd+A21QsoSdNaiB4/jkscsIaMli0FXw7uw02HLSFmsGjYItpIHxwlgnUEHoEYHsRB8scNIMuZA0CZ/1uw7d6LKA7viqg+sxy2GCVNRTL7wJuVdsHxyDDRwkZPvRMZ+D9hmZQlulnILbyHhx80wJK4ZwPKqW+gn0lraGPvfbgI2S4eUTYQqfdD4BGZz/BF87bQpfPHQTLSj7CNXm2UO6bQ6DNcDvMX2MLveA4Aq6zboGDBOyggZ3RYENgE3xH2Q5iu3IMdLnSAH82sYMkG46DHAyesG+FCSRz+CrAyOcD+2eaQPoH04BRmZ1w0GETaNv+s8BXpd1w6FYTKCYyHvis7Q9HGphAD8JPAF8yguGj9CYQy74owFc4+8A9RZEoVF/duVuOk/S1/7u+uF6slZ/lJcjsVUrwu2Du45dywiz7RA/AY35Kz3vJFjcbw9gSwkvuFZW8Wx8VCoaLfAof0Ik55ure+ERt8HlJRJzLs9kSWWnee7uDvmknmtcPtuqpO36htwlhcfZayqW7K673KOhxgEsj+1nRhE586AO7Zi2bMu0nenrOHcUKaSXq0SdjbXNeDB6LlH3MY/Es77HgHu6bMrXnt4rEMtyT9b1rcb/DdelgyNfSdZdDdqa1qvIm3LKOE47T9wBLIjQ3veK0KVY1LPAV8BiJLburIyxLH+Qfu25DtM9B+zseKjuT9lW+br/iaWIa/lb2wjV+yZHi27eZeh2OPrqbb7qeRbbAz8Ol2nnEh+H4OMFuYJFNlRDrEWezx+WL/BhkubdXtlxUWS2j83AscOX5XQ8Fou6MpLuZtr+rkL47YSyW7GocSK9Q7bZwzhYZt0HX3Ye5c3XL5xs2OhDGX0ockCji31Sw6vp4Su3HizoJuyaUDMvb5wW85n7jUa++MfzLqnsEftb5uillE3aDe1k8cnO/2DLctmRFFOK0Il6fpJ1o8oO/u1qtbAZ7mBfvI0ed7NLbDv0MEQsOvHQQZFzOy7i6m72NqcAtykqrsA5u47ubvSV0XHq0gqWvjlO1THe0vHd3jY3fqqQdly3CTCYOmX6JvOAzy6DtacpLybiZ/hp1g2uzbXg+ztCeFRTk32p4pOWJVPOwv9GAl+/aLOY7LTKJxyHfwyXHpOPzqwy+bFjf5Fq/7WXXd4qmNgeibyRekJYaTQLw7DuAjQ7BwTkzmd/svHJb8uy6iCerrUxN1t1pDDi971TMXBnZIWaPT3Nyrr8J6bvg4hF28MCnpbMC15btkuvN1DYFDvFU8DQXfp0bMny6scMxIHaPqMx67ZI8BZmg7dccs914tiMlVHkeR8axNBeWmDAnDIpek3kc+TGyx3HEMWDHmMpgyVDg/jsTtQSNIIVKouhEeTvIPT9UwmucMXN0tQbAJE5UGedWCVJNTOZsTXkwqBI/UX7+qX1EX75uZ2RPuk4tRzOBrt7wXYLiAvg5iiqVAj61Lpgj4zPj97+0gT/+78uhcp2wMHyP/LF9n1/40281oCyty/yfszQHMwVLowZwU3nvyc6Z7UCLH38AM1sH0J3YqnJ99SPAsMRhP5vvi19YGp+xFHZwVYpBYxOQFjIgboj8RVk6IMkaOoJMm40IBaAsnaae/LezNCcbKwcXOxsnPZ2AwCRLCwgyIczKyiQkTGCRkUXZmSDLyCgtw8IizS4lxcIuLc3BKiIqLMLKysnBw8vDgdA2Nw8PO5eEpASXuLgUu6QkFx+/OC8fFyc6y5d/XHuOJNrK77O8VJmZfKG3ZHGPlpTwBcMFWUYKauxGqfbJgtZNE98y5FsdkowlTX26vc6VFCYH+WfGcTU6tK9XHMnwWnWrRSVyed8LZ2nuqDTBvZ7XCwcbz+Q8OPYoVF+U/aricNcr9ZAXd864q3B87Vr21A6Q3JLi4dOpWOx6+PSj9C5nWDlzmetslk+Mq3JDA4RbolweVNkZQXfN2Ew/Lb75hFc+5/bxbGGNUSWWg2HJLdtSwPSVs+dCkskE8eELZ3QzMm9U3FipuUi5QfRudKkmw8nXz1uMDs/svXJ801dJ3U3ifmUpsiZ3bhDt1+XdFrcSfHux1N4jrOze4wcnWTRjPIveDs3rXxzE8V71ZE9lSslBtnXO1y11P69qkH9QtOZuUmvdEbhgQE7T6yIY5JQeN3hx380TobtMAMHFook7bs09nZLydnn+ZxfJtH6urazq3qaJ2ZcWFBY5Gg1mApGHXzDl+OXvRfv63in/q6S+PkceBrurzaILuB6q8DKa6DQZ8b1g56M35ee/TM8ZJiKkYTyaKr30SYz2FsVh9aWldRlKV0/VP2+/F1hysFT2S9EGrQNre9Zr7ZfoMZN8dGfoQH20VJz/6IGrmnN7BIobE7YXyTSIlEnXJ/IDKkHNNTnF9cfU8mXdtO+tvvt86JDAh+T7rhZntzsVZ4DlSWNMy2ZKaa1zDWjgOebudHrs1r6JfM6HSxmVugCUad6tuh6OYxrt8oXsoaBgmCPrFp8IwZq1NayOLjqWRWB15aXwSuEl+zZl9vIL79lvqBUhkvkmyCGDGOv3TXptvPy1wJAFPLVtLaU5rccDXRaq3bXP2JNqMDIRLW/gMyu/MgthnV4V/4/Sr2ZqjyT5d/af0/zSoLHsaeC6bNubIl3J7QpdT49ptkjdLJ4ori+Q+trgLGnJ/LyCxiM5+bwiT9eNAW5/EoDM7wA2OsDcrwbXaNce83knfXJCtOz08Sw+pXnjwmbjt/a+udfqPleOp6bwa0qvTOGwytglh3GX+3tsxzdqyKQFVhfXJ7pVfXn4evJm/1OHMVbfwiGVsYujxV7EB4GxE7KjpZvbpCL6lsEDyeF9MWe/RPZMBHC3ZC66T9+uHPJA5HFyzxi/20Q2i9f4YnkZ1wlBwYnAu5FxkR15zzd3lD8cdpHvCenmOcRD13OuRvzMAo6tfyCfcKjcdfiFT8Kn4PWZUXp9EhReX0bmQ6V2m3bAdh78gDD7NbDKNv2sgmDNL3yCz3x1Il9nKrhqqn+Kk+T1KYmZQunKkuAa0TgYCrb5H+UTAZRPEEJhYhUSFkbYBfH6ZMlen7QMyimyLDIyHKzCIiifcIiIivJwiHGLinFwoFwiyc7FhVALiVsoeUUert9NzdtDvTdNpKvPIF3NurkUNv1iBY0RjoBzhrLhDessoQdn/cDlUZdhr2fm0B7NleBGRDWhGmbQ0lfIImrLC5jpphVk6nkQlDXKh4mSlpCu3A4QuJYB+0aYQ50uVuCQfSWct9MKSqiOAsXiH8LS7y2g5ykeoGZlJrwXMoccjpuA3TVv4d2aVlDH8giQ/9MjeDzBArKdvQVcPHILDhs3gyrylpO8tHDE3GA6ehL8sLIGXjhmCS29EQpyaD2F69ZaQLVpG0El2XvwgQdmkP4nALRivACrI8MpExlOqGdGcLaBDjAkkTy2EgMbyLc0keTJnZpvAznHJpA8TnseG8hqYzzJ25Pvs4aISnEkL7D3jTU0f/g0yTvMfmANiRadAisiUmBZbVOIXk8GtGM7D7M7mkI2q+TAqoNn4b4wUyjVfTa4hjsZrr1oCvUHy4Pvo8/Aj0tMIf2T80F7gUQ4s9sUir2kBDaejIfjBM2gj7kLwfAt2Snrkm9qk7ipapRA0lf4d31xlZvItzqKMntZi3OYeG7xuR6j73EhYPmG0ydLl7mkOS+cz+Ho9OzCR0XFVVJy7vIG5gq61o+hiS775p3vNUO9n1543NogeVqyZVfiut4vgQfT09v9zPpd21QWatHvClyq+rmi6Ni94HBAor9Py7ty9tnyW6km4/zFu+lFIh6W9AQV9UQGj38AInZGDDUxd3fqntywQTYwi65kp/mH+y5NXjxnm+9XDC0y+ZzDXOKh/GZgudOgZsPbzoWdx0y72Ryy0p8YJs78kstg6vaswsWk6JoqrP9cWTsTktRgcDepsVa1KRr2DWbLKNAHe7mIcO3YrDNNckss6FX19+z4OK8nRaI762FG9pKoignCmmXEywuHV3WxHBJXtDxl1HTGABxZcenBo9VOdk42juZOxQSH/rT1qx+dcwr6fHGpyMpawpvG2/NOcdXcbLzUZttuOJH5Nciz52PMTqfn0g59Xcu2CQwe3FYXbC5c/IUQeIR10ds3Ud+KdESd3hzYyE3nFhQWz+cUOSTFfuV5R77BShL/9uZGHiFp5ugPT690ATuDlSCzpaKHY7zdSlmtwlurakNKl9wX9mY5bxQja7qQbd/TVBd4qxdBOCaJQ1lqKO9bzJsUb8/M8kIXobL8rpLV2Vy+B0+Y2PsmfLiUnuN3ZmZ6Ym9Zq7Bmq+lEUIWZhHZ/ZQUQn2Ab+ULmGjH9xV6izNvM950yXTfsT1RIdr6UemASFDi0ZXu5zqd5Mv/k6G1lLecgyV/4k6P3NXeFhW9qwN1IHzHulh3PtO+N0bebPH3PKiI0wdHeZXwmAOphCSUQDgS6RsZ6Pn9nrid9F3PXYsd3q0wsWqd9iMcG8fkqLUaGErZz1ay/j/h8adKPIy9ZMH8KcufpkyH7hIVDVf2qusMJL0uWcbZb0NcEISy/KHGia7ts5MkCrsX9vo2jT+uVbwzk+wdHGzSqLivRsSr/3M3ySCv2m1Lh8MUvjrueQN7KD4JipegGvAYFZounsf+BjLxikyDDL4zsNQVG1qBkZHR5R75laPeI9EvAkIPIPSpZ8V0o/ouJp0/n3KPByD9+UAZj5ID88Nnmo0+BNcgUijLyieWCoKxqLFxUbAbpotP+/8/IGCOjTIx5euzSLCzUWJmdS1LqByOLiyOk/J2VWfsgW2qsTMmyQvWxsNU6Myhs3yLw8YVYWCbYDCpdpAL6usfCnSlmkEjzAlABUU82oh6HmPmg8PsEeKGAGaTkqQiWpSbAt9TMoKLF88CIbQmw2iozaPXIXFD0XRLM/8wUqlo7B3yTkgQbfDKFHiyZBZ7wSIIDOM2gRD45UPzNObg32BQKMZQF686fg2vOImyqIQ2e9zwHF8GmUL285E8sK1GRCleom0Lz1cTBtnOpsOcKUyhtqSh4wysV5thpCsmBwqA/kApfjDGFziBDipL5KBmRkikpGZSSWSkZl5KJe3LPw/MemEJ2yiLgJq1zcEaDKcQtJg6+f5AMK7OYQY8ZpEBrzST45gIzKPCzDPjkXiK82NYMUn8jB2ovSYDv7jGDuvJng7dux8Ga58ygi5fkwZRzVx3iKo5ZovoiHpqrQtLXth+sHG0kz+QgGK5dqHZUgX9+wsrjUYcra3Ps3xneuL37eNXF0+dWyadyWsnrCkJPBV9eqSnMtZKXmGVz/NBTLefAli/jHu2JE8vmFtU4fJgRtTP0PivnnK7QQ1f5lYfESmqZ9q+dw82zeFUW4VW24Tp+98xNErP2RSW8dgPo43bw5195683Zq22y7oNn5gDrLLcD959WODxTM3wk7515tCB1fvQ1nSZz+1A2EdkyYlMAT+i1TdGh3E73OiJldN6s2f/Nrt7nerx+U4mMRJPMExPtG63lEY4e0fvFm2b3JwWGCNryrfQXS5yg268019wuKUI9OsO6STS3eN7aHnbvq23tiftasqNmLmBOV9ZR3F6UFB+zi3Bc3TzgwrAvj+w73fgJt8IzK6MTPDqb7jaOzTUMkPCO6K1JBiVHPB942O26kq2w9vwu363F1q1H2VU2axPefZIbfzH4YFEiD69nR1LnA78u0R6H6IKlte+0dUd5hMoKZJudJCJR9mWxVkokaeAgeTbbXe3fHRAhReB9v1ebybR+D0Bvaj/xnpB2PaAr+HnX3ptvmWfxnNfplRWX83Dj4Lt3Jzyqpnpf0beb3+AmWfFZ3Odl6DoJHbfC41le3xO57Hl9wRMiL5fVJjeCHU/at5vDDk0OI2bu1xboSTpdu/x4UWagKBc/y0vZnbzbt51rClDxdz/btIQu5+rROoPXkmnfp3IazOsTMIuFJPtjKsyrsgzM4pQ7f1SUoHTz4TCLz9LWpBofeNjPgPPqpxXeBcPWi9QfLn/kJ+WUt2DTMj6/Kuk0LF7aXDD63KtfhWiKEjDwsdmzTM3dFwu6phHFrk7c0C4JQu5PBmVTPkUO8zysP+Ra56gRxF41fssrkL1yTGU8uTxEcgWz+ovK+vC+9MD8ouqJL/SJANezyHckWi8J7Zl5buDcZeBg23ih6HhID/3GTZXusnlid/9A8mVaezfsF/J1m0J4VZUZtwi6SJb7XGVeE7CINT708J1WgIF721P6hnqgquX54ua2pl/IF/+rcJIDV2s0bZuBsYB8dkO7ZiAMmSnvCppAWtH04AetQyTy3YLM7v9D5MvEzEAvwERPzyQgKMiK+sTCrKwirMLC391hZCFTmoWdneQOI4SLEq8YB0K8YtzcYjwcHCjJouQrySUhgRI0SsB84lyoVywuwsHKik7oq5M86KgRMCWhJqidhOk3m0HsbXNALo3jsAGrGXRbQw4MWnoUPoSQ04aDUmAPoqJXhqYQa50oeF0jFh4VN4Pi+GeAcstOwlC2KaTrIgme0D4OR641hTrviYBFyxLgwVJTSB6QAJcQY2FtD1Po1TFh8CJ4Eg7lNoUCWvjAd8QkEgHfdxMCTXQSYI0ZppBTHi+YqxsLBxaYQJx8nD8RaqfOObhT1RQyiOUBHfSSYNVKE6ingx18pZ8A++0wgRK0mUE9o1g4HxlWy5FhRUlylORHSYqUZElJopTkSkm6D4pPwTrLTKAxP0ZQWf8kXOhoAt3dyAJeKIqB9aNMIA8zdlBc9zj85JoJNEedC4wuiIZNXptA9bK8IDN4FC79ZgKdZhcA/fMOw5ZyppDlVyHQUCwtChgQuojqy6hmFxtJXw7kobW7eu17+I5n9ZbQsS08Zp0iM26IyN0QAd99BAcCZg04MezR2XpKdn9opUX4AWXISVnXSVnHaeYV+5CiDebnNzirKz4q2BARmit5WPtksH30Ow7vTBHZG+0zb9A/PVBUuMB9wWqUc66d2p5P+tLjlBFXjhDE43M4aKQQSrQyVriQ967N9SvB9JlyQ2TV6H7PW0+3LhFdVbriSsG+9ko17f689qSKjA2dlVf3pr0uf56WdH/tkoePcoR2zV0+TzoX8fkC/SX0zDVbuyrkfZ4p2Hc9v2+g3V+S639l09y29439dTyd7Z+1ODtbGzXGP+Umtn2Q6nw68dR3iKnm4LqjdQJBSTSe08mHGHnkJPM3rvjV6aNTiJNoPN+Uw22pVLi/aeS4Wumo1/i1yqdzBYNY4WEBxuTI1g62guGP/hlJXwz5dkWN303s1Gtx9I8NRIgFpZ+jLH3Kha+RaCtKP2OpR/M132bWhl9BWAmlnxHnzPHiAZWJAiQaS6Kfo9dk2gDWINV4v8jGUQWHb0hw9ZjlYOFQEJHFZ5XYe9AmSKQseWAyGCsaEDuGNDsOXPS7+CX7UNq4YvyoI+cEPEQX+OL9mGOfVMAfyDuznMf4fuGd0Ck4fSa0km92rLcbBI49+S6Us/BFA9pO349fNfUN9ntUjFy3+6zhpyRzEzi5JxZ+NGj8nXdqkElNSFzyb+UdThZmDi5WFmQq5eDl5+Lko6cTE2NiFhOjF2Nm5hBnZxfnQP6yI4k44szMzCwM9KyyBAK6vEdgYGFllWFDUna4ZWRZ2dh4JXh4+HiFhHl5JCWFJAUFJYV4eYVF+Pm4+AWkuaS5uQX4paT4RUSlJHg5ONB5zPAoEzc13qHkkXVWh2BnLVOILUMMfOJyCB5QNoXYA8RB1T2H4KiZphCHiQSYdOQQLC5iCnEiKqKcP92sj8JXu00g0yIB8IXzUfhAqwlEFygIqvkehTdXm0B31IXA+P1HYYNyE2hrj9BPc7KfzXG4L9UEOlrDBVZtPA5LJ5hAg0Hc4JIdx2GjYyaQ/Swe8GTYcXhHpAlU/ITnp3k+yvYkvGy1CfSylwVscDoJ37Q0gTpDWEEN75OwgqEJxMbHBh4LOgmfA0yg2WfZfuKjU3ax8D4uE0iQnQH84BgL6zObQC2hDOBSj1iYfcIYujXGAB5ChmcZMjz3+RJ+4ghKHqHkGko+4h47Bd+TMIEqDzKDAgwn4AMbTaBdtzlBUZZj8PorJpBoLT8oyXkEVukzgbKZxMCeYymhnAOSq1F9OQcYXyHpK5IiHAsYVnqLFnuXNH5j5IKspQ60NjTNChHSSz5a0Nzw4oXtwSPWaZqL5Q35HzqKchmJRq1h3H+6KblvcGyc80LkYj6LsicfZObs4I4U1rN962ByLy/9rf/s9F3+Dxf681reTXmsULxuy6E2i62zbx0JOlJkmGuzNs53R7GT4JLXx29sfPRUVFfm9fnyI508hGsel1p9JbsOM826uXXuLqm5cxnuvq2M7z0StwN+cnNNuXrx2IXgdrE74c0PtxsQTm24stOO3caOPkH5dceV8P3Vwdc5tua7hRH66fNfbf24plFHFxyFMnriMz9HGORViSwL25St/Sy9ssODbe1xaZHkS4d9OWJCpdWLK+ftCY85qn3c4rV5rkjSx6Mvll3dFbRWQ1vwnJtlp735KlXpc9vBzpEkr0qDzZ0237p1V+WJn+tevu2dZM0iet/6y9vGdr6/zx+9IPBMnqxWTsexWKvsxYqfNVp6PoRUD2o6VvgdHThRfeb58qCCFG+rzv2s9v1MttevHM7zNp3gHOKJf3E/9EJOyiuUnvmWmM6ZTIyiSL0pYHsI8oY3Zsia7X5aa+NgL+vAtsEmpDoqyiXMge3huquPDqox7hveNCdr1Hl4d3ZrYMfzgVxi6GDO17r+Vbl9d/pOlebmr/AWNED+X2jUmOplraGQGOa/LumL/JEm+SNtuVmbJv/30XbjvZ6J+t190tVPazeUbcx/V28zwWHtbrmh6sbO79M8DVZW7+3uJUmeS8UhZEUdwrtxex8p3lreEMD30uAQvcjyxtG3LKZzS1xFIvt42tAo7Ukvw++s7KdCLNESlXGVJqXWGKh1LYr3O/2yJBtx9VwW9ykVlib09qi3i9/N9upzCKAofbQjr3jzF/9DbT/+tG3T316/WiP5owkpKKsR1DRocnWsSxoerjiLVAUA3cqUkQnFiL0qRDr9GQ0s54tY7v+BfKy+v3jtL3wcMAU+1qPFx90vYwlPgUYg9YN2OGjaCnh9WuRRoUt6Hd5PfIz/tXKMj4mpjCYSGQwgysfZvfrQ6fMLgC7fpfBMkf8JPuZFnDnEfeOlpxMVZaBnZmGmFxVlZhIT42AWYxdlYmYm8TDCwSgXo/wrw4bQMZe0NCuXjAyPODc3Dwe7OA+3hISghACS98rLIyHIw8PFJyXNh/Iwn6Qkn7CkpLAIwtXCfLzo/H7D9bUmNT6m5NeBrGDYG+GkiQJGMP7ZFvhpvxHUXFENGM2whme0GkJPZ14FhhAV7a40gNa37wEo+bW7PhTe/dAYank/Bhx294Iv3TGC+t+UA5piq+Hqi4YQ88tzQNsjHZgj0QBSOrUJoOTXDqZIODDQGHqu1gsEcfvC+3caQSzVRYACnwMc424I6QaeBig5tXX+ATh8qTF040gb4J25F96iZgSJ1WYBYmybYDMVQyh4/mGgwNESXjjfACrvAwFKTq23OgwfHDCCYturgUUK+2CjfkNoXsM1gI3eA2b+agDlVu0Drl1fCRchQ/IsMiQp+ZKSRyn5lZJ377PawiPcBpCGiTrw7IEpvMnAANqUaAxUCBjBSRsNoHE9W+C9+3K4MsgAOtW5HuiSJsLQfQPoEdEbsHS7Pe4523ctqq85wHxHkr72UQRi0TQp0eKVPtFrnmn5HLOWU95fGFEYc/yEFvcaDfnHLrMNDiTePxZeu8v65ipr7rv1gFbdoxLe44uuO27s86jre5+nHdn+bTiQ+b3jzgcGif4Mq1Z12s6sKXpgAhvZX7rpzt9Vy+CRX7n71dsog5nBY2UKFa1y3t/mn72wLn3bZ34LRrqjr0509PLxrDe6u+TKe66mMt4G+5H7czOh919ZN5vdjXfnKBLqCt72UqP0ju46L+YPnd2XLy9oGnUDL3yyOrazKccfNNB/snHtnLJA5kpg7tbcwKbX2+HykWAG5Z4eroaQ+muPwzpnKGrtPXvIpGjhwxVZb1RuEQ0SR5k2Kxu/Lrl5ZfmurACLDrCKOTTYL87cZcPsJH8690MLrL89FA4gSHJ2aKvdKoqQgb0g27hHFoajjDFOd/jf1exhX+Wb/tY6bMJkKKjZ5nbmqEwenWL3svd7PqoFPB/LKKnStkgcYbsoxXxo2DSxn37VsjMbl552P8Tw4Eqk6aOmWzp7JuiV6kq2ZC9/VopScZ1LdMUvVHwDoWK6cEfGBEXH+Xp6OpYMx6PsjBdUrFm7+v6+BgZhpQbWJeYCXpwvu0JeswyOL7s2Jljabbkk9Gl22yX/x+M+h49uFKqxX/ml/ePFlCNLO3YluCztuJgyprV2U/qZXXsiH3zbnIBcvpjy5Y1Z85X1RYF2j5zep377lDiuo107wRBsvbr8nNmudd9neBpUzL+1J4skefZPVByqecanfNtsNP1VjN/3rehJw4fkkKxRwbAS04K5FsToiL4Lzmj+6/Ols4LI+a8UNIxmuKbE+4qV5jzf3LZeX7Vr0fscchYsx9vJ5VDUO34QaDuopb+9fONi8p8JbX1VT9X4b2UPh8nucXBf+l4sLCv1DGkXCcvO1SkkIF9x1AOJ7dLdiq1eueWi9J0/kIj55X1W/ULE2H6j/4SInzDhiNiZI7VTgLsWYHD9WCnn3vg93/Xi8rht1PJd8a8fuVzX74Hmuxoed4DRv/eQWQ8l4rXSl4goEW/NMYJckVn+LyViDhZmdk5WFg5uZP2Sh5MDcVaFhSeJWFiYmUlEhFmEnV2YFhFzIkTMKSMjIsrOzsUuKsaNeMFcYsjqpwQ/vwQfP7+4BBcXJw+vFOosS3NKSfEICkkKCPJwoxP7jDdVDr/kv1rIFzpKMncrHNg828lKN0qxRa/yW2/Y4N5jplfOrNAbM45JbStfrqGhcIf/2G05bo37isLK214qHc9SNN/qA64yOT601zO5sKJPyz6mdM+8OQ1+8Y32E0kfTsZycMYYXJ+1SyvXmcButVbATyW1e8/axwLHlpzJnWF5zylalX3WyBnzmy6rH56ugMbLrFflX5WdKyJY1pYxusTi42uWEB+Omd9q+ZtSD+TsmNnY39rbV0DsrBI2lK6Mnm8yy33mcMsrtf0fr8m4PpC3aITsb4Xq3uMO2uE03/K5WfIepodJkI/KjG53k5kyXIaCXXVWgYDSQvf6jZ670vgEozK9A7s6X9xYHXJShGfsnST/0Dbfng/eR5eEBd94uVxGXJLhbXKGVuzHV/UrQtK+6PduNH4ICDu51q2+3p307UlJ0iOP8FfnBFW/WXCFd+xequ4rtZbdI/LwBP3uxJsCb6xu2qF9PbNxlgSpr9GNj5N9XXP5gnPyg5bWvHdAy6DncidP+psVrJn3ml4ePHhGf98ep1LTC7B22Nfjz+ogZgnhOXRpdK921JVM+KCTv7uCkww+TFqGJMY48jI7WAoLawW/9LgnmucSUyAguqCtVDw31KFatUor7Lw0pBKnlznUxxmQxuJa5xt7N+tCq3dsdXL/Le7nBYpaFvFeD+zTPXqiJFvlDTSfLbibXFWRNPDWzCquItHv2tvkwXmDCsh1qy+L8oplUirm70iOXD935EtP7ryJjnftExeTu3o4kvLdWyU9Va7TeHomHy3kQVium9JKgvCQSpj0JhomLW6uLucPaG0YbX7UP9stvrVxtG8s7lCQk2DD6PpLMRby45a/d8jGn28eUS7stxj+KUfGYOXRrfXI1A/o35pYGD929OX7CdHSnFKvvrbgzmUc7XOhWp7miW+STxxdvAhl9gw7ZQ4BY99mvxn35WkY3WJJLMnrshxTCeSvDBANYq8M3DFYMEQX39ScusmuLf0PJIMTxyzcfiEDaApeGTsLbvMDRgaz9/SW6++ffBUzetRs1nAyPvNrlBT/MwgDR2R364LNQJADfbVNcjMwUOwGp1YbficDQo0xdOdrCPA/szonKDiZrCooxIQkqbIyCYsga3IEdCWOBSEEZhaEEtilkMwYdPODqJiIKLr5gZePl0OcR0ycnBLDLSnJjazMIdyAcMJkOkylnDkXNS8M9aocEb79UjEDYLwOwqyMxpDR6qUAX5s+fM3EGEqpswakpMxg2xhjaHyjGzDP1gYeqTaGriIquZVpACs+MYLUamYDwQlm8EZOY+iyqjZgFmEDJ1gaQ7KHbAHHm+aw5SEjaMZ6PqDL0hYWKzWCbkbNBfZ2rYabuIwh6LY2wHvbDt5haQSJ5w0TNzCvhcsPG0FZtXxAxioHWOG5EeTyfg4wetkFDmU1hvhqlpG8pAxkiDgjQyTvzjo4VtAI6i14QSzLdoTDzI2gYJchYm2BK+wVZQRFMvICnciQWvfQCDJ/M5Pk9cw/awStnC9K8gq/hhpB+fu4SZ5R3iYjSL6akeQxRZoYQbIbB4ioJ2WlbAT18DUTUc9OXMAIegiXE1Fvq3nAEIrxzCHuyNoMe7YaQZlVykBYohN8er4x5FNrAHAcsYevmBtDFfU2QEzQOjjf2xha3GQPiHuvhl+dMIZOtbgB551WwG33jKHBNl+gefVtOZsvlotRfZXVQJMLY0bf9SX0Ypkh5CgIe2+Zd6xu/dMPIbyOTOYPh8VzdARvb9Z7KbBP5YPOWhNdNWM1vRilV/JVTgtcrq+9O8t5+YLlKStDxePPn3aZuCsTOaEpE6C9YAab9NDX1/alhmkbfSLP3N/eqCfOs3ek4Kir5DIPF+7B5iO3rn5ubM9xzak64nyMCMnsrzdkz74RJDv/zmKjPQYVdzaXJHDE93RvfqZYd4EtMq+F8ZOG+mbjxY0VRzdfza13cqwL7+SavZUxfbPTua13Qr95Pdqif21g754yJ/V9Ln5bNvmyX7+fsZVr07tO0VeVAtwN91zSO1zfOr+1uzU7ZYjhStzF207zS/XWrqv7OLZbKzp6FvfGW+Prxj3jNTTjhIGB7hUF/sqtu6VWcr29NPtLWJZmm4KdmHthzTUnu6fAul6erGG51kcS9z8026T1yF47nPNsjgcctJYx62Ump8YTlE+treZ8IPUu6Tkk9a5qX9ONTXT7cq+5O1S/O0ZvanFt1InlfLtITmboU5b86o2E40hyih8vF9+9G0ieSxVUtM1dp+nbm8F9j3QWG0rqhZYQXrqC/iEj2861Qf1dIR31hBUs52d0uLuf7Sj4mtefo+KtMgbNLhaW4154usJXYRVwiPmpbsmtkOpyDtV65nkeBLpnzK4VPflLK7/PzTSYNFbWdR9J+OKf/CmMI4N9xE6t7ur0Tb7K2m4hGCB96ko6Y/tbLZHohAD+gvIqt/4dBgdu6nZ83/kx6SSZBrHHBoldQ3NK0SXG9IDR0qyITiVy5mnKlcgsZTH3uo3+sUGOP8U3t9a5Lu7jLhzmRVccjSyRRcR6gOxSqYO1HM0W49heQ/ETPLcmlG2BQzIsasgC57ujHXWFol8ie+iXXPz8oIFV7U8Mcl4k0r38hU53T4FOSb96R7n3Q1dRm6nA4jkQ5fcaFEkt/Uc6xf+yEUanqkxN19c75ZHo9Bkyry1H5r72eGsSnVY57f/b6ZSLjZWTm50NoTwhoUk6FRJGmFSElUlE9Fc6ndz7wYlklHIilMrJgSazoDv+uTjF+Tg52bl5JNGAJ7oHhFtAQkJAUEKCX4CbC52mb3N9IlCjVUqarJltA5+HjSG1F6HA4UFr2DjNGMq7Eg4Qn1rDvQeNIf3ISKAbUU08Qg/liGp09FbDm/2NISk/T2CTyGp4zNEYSuXaDhzpWAXHGBpD88/vAtKd7GGlJcbQC6uVAKRuD9+QMoZKCtcAtRz28GImY+ip2oafKJMzxAX+2m0Ehc4DAKmVLrDzOyRI6gcBCxa4wJUFRtCmp8sBbYILvPyyEfRO1OgnyvRJdoOzrhhBSwhzgcFdbrDISSNISmUeEGDuBu8MNIKY1i8AGOa4wRXIMPu8X+UnSqOkOkoKpKRGSsqkpNJkwc0w534jyOmlFlDT4wgHIqaAhYMd4NewAb772Qh6lO4IiJSvhbsQM0KraxtwO3cVLK9sDN1csgewvmoHOyImiCAQCpR+yCxbu4ZbB9XXwavbh0n62ksZ3DQ84SgYLuJ4RUdE5uFySx1B9Tt8emxa6g8SFE3ZdMwqD0+ohNy3tMobnDeLMEN15uGzTRbzmmRE71vqZB3kG52vzizHrxS2b6umJUdo3ZhmuaaWPRCVW2f5WZhPxvxgp+L8vBaB62UHmbYfWCZ3RPlgv4XCOHNRqJvTae/lu7i9zYyvXrCzstZ/T5zZJi54rLhoJoeTzCfBOOuml2FVgWd3DyUOlbSnzzwQuqmo4GqV5anz1w8MNZ1ZteHZucxC1fqDuZK+qzbPHP+cXUjgZvKMsjfdv23XspK3AskjX8xidAMX9FjMXTE+s2ibYU6T5qaVMw5ERq3VSu+fpecJeHtYK94ScVrWcU9r7l1puYrlibGCnw4plMnwnf6WMVfqwGX2pq9hVQU2yxuCVuwu25l0/lqEhpjAt77aRvuZPV0Lb9h/9qoyeN+SywV4XfSYo9Rdl7dN8yurd9/5qnT/yFfGTTdm39hxo+nkoGqW3C7bjPs9Zc1XnDxTDmzsGgacH6U+P/J54hpKxVlr2NpxWac1F6LdiukYA4TEHJb2BCyKrbsszJOm2XG+obfg+kBVcAtCuNJ6uggBz2hacpfXW6JmPbh9MKPrDtPT0M3RWlHM6J8sWfFU7s1HFlQGXNT0P9v2mf4K4SXvziVLLPuX8Pb5OSK5p+HG3LFtX9ezv2FJ0Wni3e5+dqD3YcmdkAM1dHTRp5w9o0r7Cv+JiYlbIg7/6tMGHyItMsqji4wFMTZv3n872lDjMiB0q2RFSJ9ap++qLXGXHg5P5qNeXpr6y8b+9OAfG/vTAp9NbsKsLnzPQRHRjPWPKWgDIhLQLf6hPY5tSB4QsvBo27ckJc5XtDR308sW5UJqwU0OJOd0UOqy9Ovx517jWhf3XuyNXIg0TKAbWV3rvrfavuAPJGHueq7z/7fbPbCVxhusBtfj9778nnGaoB/aGN38a8Yp/icOC4jWS+OJzQDdrpWuSUAz8CwlhETCzcjsiJJwF7Kc1OSbD/yPbuhnEmJlpeXTopmoaMYpmkWK7udHN/ejWac8yLIlmnlKa3P/XcvSdGpETEmsh86tghdcMIb4P5wC5C9ugOEqY8h2WypQdM0ZtuE0gU713gAc7myF2xD1vEPUU1C0Ac52MoZ6zh0Ayp47w+anjKH98rFAzautcONTY2jG9QvAYLszbCRrDJ27FwDs7NoK19og5N58EOgb8IK9IhEDwC0OUORwg6tqjSD7+c6AhIA37MZnDLVpBwHsEr7wuJ4xpC5/+CcCdVLyhl0TjCDpZBPg4RJfeLjMCLK87QrIAXvhQwzGUEFLMFCADCkZxABY43nkJ7KjJEFKcqQkTUoypSR9SsJNFg+GV600hrZGnwCG5fbCx3YbQ3tuxAN3ePfAz+KMoQOvzgLe47tgQrYxFN+XBiz4vB1e9t4YuiSYAXx45wXvGDOGstRuAanF2+AMaRPo6YosYK93VuFgwaNaVF/Hzs2bnDpdKYjYRJ7Ri/fx9pXmLU1N3ju9os8/DvfxOZfjmpvspn3LXP6cmWOFXPVBuf12zquXTYjxN4H3ZUXYWxtAnxeztn8bGRlpU68f9U3ca8aqKzLv4+qimf2sKerzjvk0nWWZ0X32uLpOzrrDKv1XfXIMcmxCVL5dO+4Y91I/bHT7ycPeTZZSUOMd4yMuK/jOfdgwu3S0xzVMxmr1EX7lxbKjSZec8/iuv5VDwpCz4mQ2L686crkkh19ZzOJEqYV3zhatGzYnG9c3FZgzdh141sXR47wMept2AHjnfZ/pnO/K1itPek71fF0mlFzfc6xnyML2FP/+7MONBTs0Yu4X92YZpHFEffvsEWUr/DzqWw0vcdC2bel+lqv5Owxma+h/7gKj9GwZHDd2y826duXQbkkZ8aDLnUvWf47dNv/B7TL34rLAwfeXr4oF5TDPaDR3+XZUw1XiGvGyZFXXNzvW2RbzfJZLZugN7bYaZuk2/3i+7nDcPpRx+8rFgkldf4wi53YGusuSyfL5Zl7GGBdYXslhX0TcrI38nwcWinIqwalRzzNL1ny+xVqgfbG9QF3q/uDY4FCno9WRPck3xzTdbh7odxVd8kgjpy2mQ61K30K7v6+YiCTbKqe1P1FIz/Gvb5bur1Tt/5Jx+krs9sh7HiLV5e09gtXPrwYNk1NujSaMkJTbuWvtNmicfFJEY6KanMWQOaeWe/TErx4w3WQij50UsqI4cf2+xam2iwXD17ljzWNLr3G32ycIywR68e0LUkm3+ZKVEaH7+BcPeN5PHnDQTx5wYeXc0H7gbuQwD+VP6UzoDE3utSxnwfZajk3utdRAosW5KuNXu06v+lavjVCwzrDKNyR1dxSw7LOs9RUzG1utAUh2bNiBpt2GirURZA16bf5A8n1Ty6jwC/k6TIF85fEe8OFl65bZcb4FukM/Wi7ke/ddqNH6rk8HEn/1gPG/cYz95h23urL0LbtnwHa1fbDwksnfvFuJzO4BA/8T5EvFAxZCPWDEBWZiRQgW8Ycpfv1AShrd8oESMierGIc4JwcHpQeMki3mBXMj7i/q/SKOshg6kZ+VrrtOEjH2+0TOVGBmGOMtydIdEMK9obdV8BXIcM6y+2ykz95Gf8OhiaUHchNzBg45uj0wkLyVK5unqG7/5tn+23ucZTUWuRXtOWcvmhrC72cUFc35UaXjrB4hhphct+/CN94vVZ43Vne+9L7efeybmtIO/9suG3bfuhyV2PzS4tPDu4cZOni0OiZmKs5d0ZP6Ll2qPeyw2nxWzqGvnkdVcrI5B+MtDi5s3ODIpvr4Te7eQhZ7yatp29ZfEUird74xVrui/Xh3XTPTiQRoqfZmja+LQwM9DWOOOOp+IQbms25xeq6SbFRwWfJNtkvhtZbFgevE3gytbvRQDPE111svFaE+wq+RL/2ybENhKnBkh8L5t3M562s2alhJ/D/27jyaynbvA7hN7Mxs87bNZNpIMhMSIYUMyRYyRsgUogyZmpQpYhNFKGQmSYZMZcw8D2UoYyLDI3m3nud0nnOed73nff94/zhn/T5rWZY/7rXce9/rur73ff2u391b4/nGw22fib+RQzVbWXi66feJ3u9sk5p69Co+ro67Km+st6VK4r77reRMnlbnfP0xyKTqUCtmSl9OOoNrlkrwiMPKFy/T/HPSJZmnN+/TXiw66ntIITxGMTv9XF0CnzCmjMapFdV+195tCt2pGHt02Ze5t7Rc+gXvK0zHo8wivUWXRxc92AjLklFV2ZGqDM17X5ZYZsLaX2ZdbSFSN7oIF4Nj2lVbXHLypjT5cagEYc+JTHM376jkqSA51ha+Iomzt+R4jmoLSd36EHasPvorVvniOv+MTNalgPEz/apaYlgm91P9Sfvz0aavJE+pXA197RefIJSVuBj6VBrbQn9KVJF8xxjb++hUMW7/ruZZ5jcpZWX0ZbSFceFyyovca2uFvgFqPpGxr+pQm4iTku1fUCfmWbI75ApXsY7LaaltodEO2LOpaXaNwsr2g1dIlWXbZxAnVqQuBMiej0mdXuf0Kr1X4I1/MkNTMr7JcQkreC+N8yPXkUJGMrXjd1LpbOVfIk4uCGBf2gu/IObg4sZU2sq/IGqzqsMMV9AvHr7g07uv5VJG92fNuib5eK9VkfIDlPPYisA0i+GKopYYB3HczBEmq5vlKVI7fW0y/iRp2+s59VdnOVVJlEOV2oo2iNH2G7GlCpLjtp6JC7YrgfgzLJNp0qmlJrt1SU02x8dtftbvXEY1Pv/50d/6+6wb+Yg+VJVun3bQvuzfdO3pH9Ai7pHd1jDsiVghQ6kmq3LTCVlz07l6b8h1G0t5VnX7xp292l8gejvAUMZFv73tt/VvHDUPbfXMaAox1vK2t8actsj9Y5TfPsxImBL3q99ZIl8if8nngtzknOkwfL5wJO/r9x/fLHk9V2uWZ95SdqwQfXrldYPdFP0v+9eJM2bu/PzXG/6bAh7pvQIe6VP41K8jx744aI2cszF6TD4rW2UjenOi//rq6l1W0/68Lg+t7/+8wUWP+M8bXOJ+3+BSGlHB8g+96g6EtAVSyf6tm93vt7rZMy7heBbibxJ3VEicd88e3utd8Oups+C1P++vRBrec9q1kwtE9Rwx2iI8bg5bQQTufHRlQ3QY/RtOtvlWsSt/mWxZKf73k+3EH+2BpQ/+08uJanUNDse2/T79/LK2rBJTzcMgmPe1esnEioLsItOv5tzZzRqvD05/UOlqFOrQY0arpv7x916rob+V8jwhLNP5hBsdpbl3/z+1ppYJxczMjGJhIVTZYJgYGRioGTEYFCsLCxMDCkVJgUSS7U2krCgUOYawGouhoUELsLOzcaPR3Fw8PDQYWlo6DKGsh5OHR4CcnZ1bCI2mIEcgaDF0dGSkVFToAwIC5MQIBFrwwAESrKgolkRAAC0kKIjYj0QiiPbvJxYgVAeRCwhQIJBIcRJRUSFuHh5OXsIPBz8/Hyc/PycfL6+whIiIuIiEhKiIuDiJuJiYGOGum1B+RKZKOB3ngVGJn6er9Edva98hgRacVux51poVGdrOwyKsjo7MZBp34wXwB52Xh0Nc/auvPRR7GmcfoXEyc/r8A44Zh/gmKo1t1Z5WAU3bxPCzth223i/YJrF1nS/puofE0fev8DDNL/ms7OrFbXb6SSNdmfu6bwaKU3cE7zM2rGESG5ywcKTZ9LCVSQ4YRLmdPMMcerj8vZQIAucgrz9Eykv+uV5BXeTOVwveU5FpOwYKa+Gi2V2SN8s+YU3XuJ60j4mMPJ6ZcHt/+bHvuTDtAzRJJ9BaleUUtL2eE0W9McbzpFiuGauKonCtclyn563gcvGHGMOHGp7IkAeufGxnht0G27htBnSt32o4x3lMJBczjItSzkRKaflXRybPl018UiabS+OwfTpynd6FSqapKZrSkRlbWc/NH8jC5ht1eyOL2o135rn3gjvnLQ+ygFlc3vZZhIW2jZXKFk7x42Ebd7GQi7XzxFUt+SG48t1qmzA/t+nj+77bWtDejo4JitAluzEXmOWiJPHY/yZJLfMxFTuZ828kyD4kOBb5ZAUtZCE+HKGN6kWJhv/ofLNKS6xtz/s6ip1nOjy0jIvOwNRmX4WuDgvFsZ4w9PnnZjrSJvR2gXKsZtGEZ641P0w4FQynesqrkdfIlT41lPbEjYSRG2pu/jDWFLzMYWrgFHr32qPDUps0B1ynJieXLqCn3dMEo5FhTgwpy+5W79U4fzsc7VUwEHzeTqm+i9qLZ4Nv6exbwlQpTX3CL6T4eNf5zGU5Y1eO2t+ynqZta36y1EgidZt8Plq2d0H1SqvV/7yguP/eP0BiriwwePjHtZzXkouBKu84CcUfZERV9JpBXs2RRwl3oUTPnyi9+n1a/JVI8PeL29bznfN2PuI4yk57lK6/j211bgta26kcdr4etOY385n5iqofs/7oGU1PRboq3O7BB2VtLKS3Oy6vluz6P65bn3bmq+xzOFdWgYtc9DtkPxQg52Atu9XrMfyYJdNbYabbRTkzt8jFOckqx8W/e31u8BRuvaPV2yymrYxpqcv7MmLYWV6kb9jJO6/4foGlg/+3L4dw1GWlZZGBs4NmyecIx7jgXZxuXY+MnZUZvuxpOZy7MmavWNowaNJzCZ83M0KDI+M2HUuz8nzjgm9b0yHF413ty/I0KGTe4RSdTxQzOfdxShcdNH3xvl07tO2Dox1+dCgd33oyPgnhyOe5XYp0jrV8WLDkV1IrnmLzsrSwU7PSJ8CizwcjO/RWK6XUSXTkQn+y/9tMi+nXo+uhxjK6huLDVdSuRY52R87PDjlYv7F41XRqbDWr4fjgce+n0WfysupVShTxzM42hV+CzxXWKOGH7y0NG+viLkkaiLw7cm4xtIFZ0tM/JIUW+5z85gAJ0YPSx/37Z1r3WvX/Ggb/gjAufqGt+72iq/vXAHKu7Rq2Zy/5p3qMKIUKGJrp6L7VpLjyHePE2ci/YJTbcprnjlLYlQezEQsHRF7GCOhJp0RQTeakW3+kTahQiKgcf5vSnTxu3q71bb7v+/vt6v7Zqo7ZWH655fs+X4mot1kSOcdfBZW4a6qGlN8gocrfF2nd9ZuIZ3DqM3ExAZfFbC1zclRNQ9nQyq1RTuRCdX320u5AyrhJYtF2/qhe0SfJjPKLQ1Qdn7VVKM8f30nQLWmy0vJVNjGwCOm5s/06Ql/+YPqcaNTdZ8ukUmOWDo+s7uO4z30YXb1Px9earbck9ilEZ3bCcuHGlTgecxz6pprb87c3Btvxmk8ehX/9DUszhVlep/BfoY+UL7bztOCqKXzJphtTn93pNFQw0EEvlBfsaWZsfexaGrbgcE5Ioppdo0kEa8W7A4Y5fbhJgfIxUxkBTQ1Ge2rpMkpdL+lvynjyUGr/vsEtIq8novzvveTr6virUq+O1NxtCmRoNlUz9ZWXGOknHRuq1iu+F8+9cLuNbHJ+X1Nupd322534Qkr1snE3K+zp2JPaeDJjZa5X2CCH3Bscol1ostJ0ZELFQZaus1OqSb1EhqIXMfqMJgmmRgzc1741m934+KWiOGjM4sB1Pod1MoHb7s2XnQ9FmkceQ+ysCPdoYMwD7j2IK9YQGg6xbOGtkjbKn0UfJ/J3QCVz3U7zOUlXHq1DdMxmuf4QfUYiR5LVLOqgssus2zg1MoLupbEzG+KMowEHjS7m1pzsx3Oz5dwbt5qVAqNp7+Ds11Kv4GvG3rS2GlDUdDdykWFlrErbUvBPS4ki7gvHn/04rz+a5CSnLxyKx+Unntwoq133KmyrUaJZtE47ZT4UXqx7LyZri3cgeWKGLkurpTxsUDCUSNlAh++dDH/B0gjHc3yIlrKP89ojxEnuRA4Xxg8FWI7I4c6eR9LhjVq9WsvzXSlVwTndqOMypfliE1+QOaHuJc5CXvL/hiHxoTcDzV9CIuP/ISSO/HNI/BkOxcpVfi6L7DT+JSSGHX5795RFQfVkuPFWdw+bKlFQxuX8WIXqgo56yUlCfXdRTpTUSUJIVAstzpIihMTV/rGaSz3Hj04Tas72Svz+w/sb7939IZCUlPuRCAQhEVIRI6iphakJZX7UJCTChNDIgBIWpqGmoKAXRqEQlNTU5HQUFBR0tLRIQnikpqSg2AuDGHrCkggzBoNhZmLCEAImLQ0FhTAJNTUvj5CQGIm4uCCfkBCJBOH3AUL4EySEP0J4PEAIgfycHBy8Qnx8IsJcXBh2enp2YXp6YXZubi5RERFhCRISLk4sVgDLySnMzcX1M5iyo9FchLC5j0RMbG9O17Qnv/nzdGV/jfEcP0Mipmmlnr7ljUbYhfhQHesG7OUuTN/qlxAvf1r1cTER/cKSJDFhgwJ+rWL9lTbeE5neX0p47HWi45BzXFoVwfxoI00/njy6uKJDDAoVlR0NG4ob9knWi8goOu8Q0Ty+NbkBijPuwlwlPrEDCTe3BJOb+C3S2RqId5L0X6/gQ3Tij31/Ftg886P6KZPJyJhnQr5ZtbVGzWdcgGDckNvI6JTP9+vUY7SRSiqPbz6jOnSHwe91dSa+3VdMSE+5+WN8hJCsIkNI3uyLviOaXUeZA5B9q4tvT6H9hPnyzwtKKE5nbNGwTRYr/KibzshjOtQY471awCZoZ9fywkvyZuBJQ8c6fjVFjloJ1vyYIQGecvFbEejnhuEmjXzqVJe0K7QR3mxqr+UCsiyeNLuR80TjfD0qdKQLUdcb2q6uPdA5Ucm/L+Xe1OBZEaYMbVOfQAZLcamuwX625i2j9tb3FBqBh2sZht8kVYVNbZ1vXJhixKGz0z6U8v440r+5zffGHqurWWycGsQ2tj9kXCP9wAtPbECCqW62s4SVorOJWSKqc7UqRkPjre1Fui+C47V9211PzzB2SuYdPMklmKcZtFUQfc3RJLvCtCYnvdQ59fijBgXE597ehXd6YfvKg7I2xIs3hnN7ThGfbswxtdjV/ipJv/zuYWH0GHFR+I0L5ldrPlR63ByjKGC6fKh0ke6zObHMVVfbJRpk5L1bWmtrUultai+Z6cOCSZx1P6YN8dK7+EcMqnRUITtf3ck32buWbEi3JH9eS1x/zof21fUu1aPvLumuLx8fTHdGDRJlqO0i7pQMPNuLh/Kxu9k/jwn++56Fd6Oitns9uxkb3KWsTTtmMfRdJRpt75a3d45p29rLtJGKR804nz1UyH9sRD80rvMCvkxoheW7zrxjc9xAlSljm+ac+YMTx0wWJ+curwQg85OdN43oS3KPrH/F+22ujWY0UL2St/x4FJef0aH+TOu29Ge9VJFWhTD8zrMBvb7NSxEiMQ4CxmUH0qxOdyXOxrU08TNZ6nnupGX049gvcSidxmnyBtA+KHn1tAb7Ms3yaG11C98tFW3VsXXyk8af9i+b0722q632Uadlf1oQ8bjE3UY97UTXnA+19YagHdeFGwPqJay9B39I65YxcjyS1x6V5/N9GMW/SYlJj4ljpr26E9N+/Eit5+yUUc7GZ3SCqbissLmdfG5iz4UKzsseiaOqIXZnzAQtcgPFqpAX46NbEa2YWc/u6GDSS5Ideaz7zeU3C4ZraC2Fq03Q2d8CJ4p5ZIkjEhe8/N0TUlpOmEkdq27X28jLjtxqXqQUH5ll8RgspaxVuP8R4/odaRGSdCm4cLP6X6VCkXZUy89vbOzXiGHc9UcqNGz1eIG/u+r20P5JBFP8aPKLDofwlCx3VN3XTl7RFDs/ujeMZTH4iGO5vXKZ6rK0kYXqOqaU6gs0G9tPcpTist6qlwW4Gs5vj19MXd4uriqnjVzf9Tzi2B8lgYu45u+YG7n9cMlVnjWtaXO+OEmectdFyKCkzTHY6cPLiiDu4MyXn2zWHPFcczyFlowiwfGvZC0nJS7MpKviAnQTJ2LRG8RISpEsj8+bP5I9z32gIleMKdLcRrtgzZa/laQIqNlPJlZFVZLQPzlqHVPkYTTT0owjojlzn8ck2i2JpWD+RKcBFe5cbbhhwSens91yWk0R9k+mRPTIUeUCgenMCvG58nPMlg/DTAP6/ZyYOJAfe59MExN7ePDe69iWcu9yUX/IY6xm4N7zfEGERF5CI/jo8tmJAUy2qJdsvc70M+PFRMcorYshsaxk2Zd8V5susZMezrohxzXyYHPOJpVB7Vt+pTGXcrjuiBKPUirX0bruSksLIaXET4mK14YfpRK5Z0YmMR400OU3OfVlv1V9IuGKbNOPOtw7r/lNL/bGUcvKYoNp40OeoXMn2jfEOH401nnl1LioP8tPDdnameLlO/zb5Wbb2KI0tTGxjK8luZvT+efFv5bc0DfbP31+eZDn9opF1Jy4mtD0FGsDTrBBqLVkyjbc8LX1oKXUUlao/zJFFSp30Oi1QunTAeP2xbvJtxczcimEP3d5388ZXvR8LP6AV0wz64rQfUGJixbF1MNpuU4ciacrm0mfvGI/eapnN72LqbZD3Ne6RatAqaHxwcwJEr7+IdXRgyxbE6zskvj59wp9ROb9d9PEFGXsKzavifuakP5Wq3jX8w12QSZl1+KR7H6drjO3Uy7cUVtICnLMD4jKNLqzeSFxosD9TqtCJe3ShQ4VPQnZWtv4MHdzB1qsIl75lmvW0ntnCUva3qvhN4bfHC20t0SGUnpdpyIzNT3D72Ha4U8SSESfoB/MF+XQ8W8YEKuwZk//HBDN9aV8907jby9v/EdNVyrf7x0cIdgo8Oej/qfXtgMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+H/zXwAAAP//AwA= - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - 9c53bac0-ba66-40bd-8154-ce9829b9db1a - Colour Swatch - - - - - Colour (palette) swatch - 3006909c-e805-4c62-8255-1e8e709f8f20 - Colour Swatch - Colour Swatch - false - 0 - - 255;64;255;105 - - - - - - - 881 - 175 - 124 - 20 - - - 881.401 - 175.9949 - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFBuildAssembly - - - - - - true - true - 2 - - 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 - - 2f1524fc-5545-413b-8873-d185930a521c - true - false - true - DFBuildAssembly - DFBuildAssembly - 3 - - false - false - false - false - - - - - - 291 - 180 - 190 - 44 - - - 398 - 202 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The name of the assembly to export. - abedbe99-1b9b-4b6a-a5b8-98b8f1005490 - i_assembly_name - i_assembly_name - true - 0 - 1 - true - 339266f0-2362-4309-95c6-49cc7bf5056a - 1 - The name of the assembly to export. - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 293 - 182 - 90 - 20 - - - 339.5 - 192 - - - - - - - - 1 - true - The breps of the structure. - dfae0cc7-95f3-4bba-97be-fe7c59b22c31 - i_breps - i_breps - true - 1 - 1 - true - e96ace3f-1930-4d2a-ae94-1a0648c7d34a - 1 - The breps of the structure. - 2ceb0405-fdfe-403d-a4d6-8786da45fb9d - - - - - - 293 - 202 - 90 - 20 - - - 339.5 - 212 - - - - - - - - false - The create DFAssembly object representing the timber elements. - c59121fc-cb98-4fc0-b79f-a82d5cc73567 - o_assembly - o_assembly - false - 0 - 1 - true - 0 - The create DFAssembly object representing the timber elements. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 413 - 182 - 66 - 40 - - - 446 - 202 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructAssembly - - - - - - true - true - 2 - - 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 - - 34994163-7d3f-43dc-8734-4b022f2cf4eb - true - false - true - DFDeconstructAssembly - DFDeconstructAssembly - 3 - - false - false - false - false - - - - - - 503 - 188 - 146 - 28 - - - 579 - 202 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The DFAssembly object to deconstruct. - 21bd29cc-8423-43b8-bb2f-6612955f8586 - i_assembly - i_assembly - true - 0 - 1 - true - c59121fc-cb98-4fc0-b79f-a82d5cc73567 - 1 - The DFAssembly object to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 505 - 190 - 59 - 24 - - - 536 - 202 - - - - - - - - false - The set of beams contained by this DFAssembly object. - a6abedea-c082-42b6-afd8-8f07edec21a5 - o_beams - o_beams - false - 0 - 1 - true - 0 - The set of beams contained by this DFAssembly object. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 594 - 190 - 53 - 24 - - - 620.5 - 202 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructBeam - - - - - - true - true - 2 - - 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 - - f06ff478-ea89-476f-9708-508681fea589 - true - false - true - DFDeconstructBeam - DFDeconstructBeam - 3 - - false - false - false - false - - - - - - 675 - 170 - 168 - 64 - - - 754 - 202 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - 1 - true - The DFBeam objects to deconstruct. - f8157280-37dc-473b-96ef-0767369c6bd4 - 2 - i_beams - i_beams - true - 1 - 1 - true - a6abedea-c082-42b6-afd8-8f07edec21a5 - 1 - The DFBeam objects to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 677 - 172 - 62 - 60 - - - 717.5 - 202 - - - - - - - - false - The side faces of as Breps of the beam. - 3212063a-9455-4e0d-9d9a-e22a4bafda0c - o_side_faces - o_side_faces - false - 0 - 1 - true - 0 - The side faces of as Breps of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 769 - 172 - 72 - 20 - - - 805 - 182 - - - - - - - - false - The faces as Breps belonging to joints of the beam. - c85939e6-bd31-49b6-8051-7f4e388b84eb - o_joint_faces - o_joint_faces - false - 0 - 1 - true - 0 - The faces as Breps belonging to joints of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 769 - 192 - 72 - 20 - - - 805 - 202 - - - - - - - - false - An integer indicating to which joint the joint faces are belonging to. - 0dc0a83b-9dd1-46f8-9764-98720c7595d9 - o_joint_ids - o_joint_ids - false - 0 - 1 - true - 0 - An integer indicating to which joint the joint faces are belonging to. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 769 - 212 - 72 - 20 - - - 805 - 222 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;184;184;184 - - A group of Grasshopper objects - 2f1524fc-5545-413b-8873-d185930a521c - 1 - 1cc2238e-cff7-498b-8a91-cc9778370f4b - Group - build assembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;184;184;184 - - A group of Grasshopper objects - 34994163-7d3f-43dc-8734-4b022f2cf4eb - 1 - 824cc45d-ad3b-4e8c-8639-8c54d226dffa - Group - deconstruct assembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;184;184;184 - - A group of Grasshopper objects - f06ff478-ea89-476f-9708-508681fea589 - 1 - 0ea6c39d-7df9-4244-9db2-fd0095a99002 - Group - deconstruct beam - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 2ef2efba-b4fd-4973-bc31-6075179631f1 - Number Slider - - false - 0 - - - - - - 41 - 111 - 160 - 20 - - - 41.440613 - 111.44061 - - - - - - 3 - 1 - 1 - 1000 - 0 - 0 - 46 - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - 3d693f2c-415c-44e7-b582-24f20c9d4d31 - Point Cloud - PCloud - false - 0 - - - - - - 32 - 17 - 50 - 24 - - - 57.794453 - 29.396591 - - - - - - 1 - - - - - 1 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFCloudSizeDownsample - - - - - - true - 2 - - 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 - - 79c769c4-85e3-4182-bad5-555fe7d7f97d - true - false - true - DFCloudSizeDownsample - SizeDown - 3 - - false - false - false - false - - - - - - 274 - 48 - 123 - 44 - - - 332 - 70 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The point cloud to reduce the size. - 7e543d95-4317-4a5e-a777-82fe55c12c29 - i_cloud - i_cloud - true - 0 - 1 - true - 4cff25d3-f728-4cb0-a6a9-9cc5a317d323 - 1 - The point cloud to reduce the size. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 276 - 50 - 41 - 20 - - - 298 - 60 - - - - - - - - true - The size of the wished downsampled cloud. - 20037f9e-e58a-4685-bd53-c988e722d40f - i_size - i_size - true - 0 - 1 - true - 2ef2efba-b4fd-4973-bc31-6075179631f1 - 1 - The size of the wished downsampled cloud. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 276 - 70 - 41 - 20 - - - 298 - 80 - - - - - - - - false - The downsampled cloud. - bd58b089-8ae7-48e6-9aec-236ae2d4da13 - o_cloud - o_cloud - false - 0 - 1 - true - 0 - The downsampled cloud. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 347 - 50 - 48 - 40 - - - 371 - 70 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - 2 - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABhmlDQ1BJQ0MgcHJvZmlsZQAAKM+VkTtIw1AUhv+mSkUqDhZ84JChCoIFURFHiWIRLJS2QqsOJjd9QZOGJMXFUXAtOPhYrDq4OOvq4CoIgg8QZwcnRRcp8dyk0CJU8MDlfvz3/j/nngsItRLTrI4JQNNtMxGVxHRmVQy8wodB9EPAmMwsI5ZcTKFtfd3Tbaq7CM/C/6pHzVoM8InEc8wwbeIN4plN2+C8TxxiBVklPiceN6lB4keuKx6/cc67LPDMkJlKzBOHiMV8CystzAqmRjxNHFY1nfKFtMcq5y3OWqnCGn3yFwaz+kqS67SGEcUSYohDhIIKiijBRoR2nRQLCTqX2viHXH+cXAq5imDkWEAZGmTXD/4Hv2dr5aYmvaSgBHS+OM7HCBDYBepVx/k+dpz6CeB/Bq70pr9cA2Y/Sa82tfAR0LsNXFw3NWUPuNwBBp4M2ZRdyU9LyOWA9zP6pgzQdwt0r3lza5zj9AFI0ayWb4CDQ2A0T9nrbd7d1Tq3P++484P0A3o2cqrMnZbPAAAACXBIWXMAAAsOAAALDgFAvuFBAAAAB3RJTUUH6AEZFwkM569AfQAABNpJREFUSEu9kntMU3cYhguoOOZ1ujmFXqQtBcEpIwoTxOGQolLwUp24OFS0sEqh0oIV0CIg1FLKsbTlNooFKhRF8TajziW6zYFxcckW9bhlm9uiLk6nAyuWy7tTc0iI4w9l2Z7k++/7nveX9xzGfw+LWMhgV4hd48Y2iN1ZBvEoFiH2ZOrFXkydeJzPvsn05ghhmxIZnCq4xo1TCXe2GaPZJniyKvAqi8AEps5Eb/4LOJVfDQZ4PAswYizLgHHMckxi6vqmeJfMpjdHCNscQgUMDAaMoQJeoQLGUwGTfXR43bvkM3pz5LhxzHXuVMAoqp4x7Ap4sfZT9ejxmk8ppnlrEDE142bCxA3k2vHryKSZYnJrcPxS+vTFcGMR09w55keuAFf/Xs/612OKjxZvepdAMF2NFROT8IHv+5CEroZskeiaJC7Cgz5/MTzYRsVg/64PPJFZhqlUwHTvYrBmFGBZsAybw9ZCGr0SyhXLoVobk0Gfvhju/CJPD2GnY7SwE57CDngJL2FCzBeYsuQC/OM/Rdiq45AsWQP5ygSoEpdi94fRDyslc6SWNH9pvVwgtWb7SQ/k8CfRumHY2ithpACD45YyAA9JP3ykPQiQdSNh4zlsS1gFZaIIuZuEKEx5DwZZKKyZAWhUCdC0i5o9fIK2Pcfm7gmMlIF7zwd4b3MiMMOBhdvvQLJ6C+TrV0CVvBz5qTEoTo+CThmBAzlBaNotgK3AD80av97mUt4s2joESX/ZULlr3pD2I1Deg/nKLiQmN0O2Xoys5HjsksaiUB6Nfcp3UZ67ANX5IThYRMn38dFSxoed4J+lrTRbngio1zuHyid9NABeei+CFQ5EZ91FcsZZyBTtUGUfRGFuLXRqAuaCEtQX51GvlqCllBLr+Wg18HDIzIO9xnc5baeQ9J0YKncNU9aPOYoeLNzZhXWZV5CiOI3MHW3Iy21AsboSRIEe1ZpCNGh3okUXjhaCkhspeRUPh2u5aLNwb1isM0a7Xi98Xj49rR8CuRPvqBxYtuNXbFKcR5rqBLLz7MjPt0BbZIRRo0WdLh82fRLs+/k4ZKLk1ZT4Yy6O1FPT6IujzTMzqT/HGUv1nzp0eOnO1JAsR+rinPuZiYrOPonqLOS57chRH8TevbUo01D16IrRSOSgwxCJK6ZgXK2ZjW/rZuGa1Q+kjYfvW7i40ep7ne5oeNbIL6mTsi9gW95pKNVtUBc1QKOpwn5dGarLC3GxYiN+Mkfgds183LcEo8sahB6bP3rtfAwc5qK3nbORVv0TUdpF1jplx+OtueeRvvskVIV2FJTUQ1tqgpHQotm4EzeMi3GrKhx36+bhgXUuum2B6LEL0NfGQ/8x38u0anhWbe/Yu0H1OZm66wyZuecomVfSRBZpa0h9OUGaK4rJL43rcbN6EX6xhOF3awge2mbjcWsAnrb5oe84F49PcUJp1ctz2SCM+64qGj/URuK3A6G4Z5uLR/YgONoEcB7jwXlqZiO9+vKcIaLHfG2KJa/VLMaPlnDcts3DHy1z8NfhQDxp96Pk3O77Z9gz6PWXp7MiTnG1MhbX66Lwc8MC3GkOwYNDb6GrPQA9J/lwnPbNo1dHRqdJFPVNbYyItEaKbjWFie62vi3680iQqPu4v+jpJzzRg3PssfTq/wGD8Tedsdp6457pjwAAAABJRU5ErkJggg== - - bce95668-a73d-4866-8978-ed68a47ddbd2 - true - false - true - script-sync cpython - scsy-cpy - 3 - - false - false - false - false - - - - - - 278 - -127 - 180 - 84 - - - 393 - -85 - - - - - - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - e775cc7d-a2d8-47df-b1da-7e9a38e12648 - select_file - select_file - true - 0 - 1 - true - 59397dc8-81fb-490b-8716-fa219dd9dfc4 - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 280 - -125 - 98 - 20 - - - 330.5 - -115 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 62d9cf4a-042f-47bc-89f7-8cbf98105353 - packages_2_reload - packages_2_reload - true - 1 - 1 - true - e3293690-c1bb-44ae-9138-1b7146d07fa5 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 280 - -105 - 98 - 20 - - - 330.5 - -95 - - - - - - - - true - A generic x input. - d8663554-7e0f-4770-8795-06372c27dce3 - i_cloud - i_cloud - true - 0 - 1 - true - 3d693f2c-415c-44e7-b582-24f20c9d4d31 - 1 - A generic x input. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 280 - -85 - 98 - 20 - - - 330.5 - -75 - - - - - - - - true - Converts to collection of integer numbers - 3fe0fab9-6cf4-40c3-9a63-0c2983b83ef2 - i_size - i_size - true - 0 - 1 - true - 2ef2efba-b4fd-4973-bc31-6075179631f1 - 1 - - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 280 - -65 - 98 - 20 - - - 330.5 - -55 - - - - - - - - false - The redirected standard output of the component scriptsync. - 984d7ee5-75fd-4b85-b53c-6520521efb4d - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 408 - -125 - 48 - 40 - - - 432 - -105 - - - - - - - - false - Generic example output of the component - 7dbb50f6-5b11-45c2-aac3-e34efc2847a3 - o_cloud - o_cloud - false - 0 - 1 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 408 - -85 - 48 - 40 - - - 432 - -65 - - - - - - - - - - true - false - true - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
            select_file: bool,
            packages_2_reload: System.Collections.Generic.List[str],
            i_cloud: Rhino.Geometry.PointCloud,
            i_size: int):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - e3293690-c1bb-44ae-9138-1b7146d07fa5 - Panel - - false - 0 - 0 - diffCheck - - - - - - 120 - -56 - 111 - 39 - - 0 - 0 - 0 - - 120.27092 - -55.224453 - - - - - - - 255;213;217;232 - - true - true - false - false - false - true - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 59397dc8-81fb-490b-8716-fa219dd9dfc4 - Button - Button - false - 0 - - - - - - 135 - -126 - 103 - 22 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 5c955df9-7a70-4741-89da-b5741eb92c4c - Panel - - false - 0 - 7dbb50f6-5b11-45c2-aac3-e34efc2847a3 - 1 - Double click to edit panel content… - - - - - - 534 - -142 - 281 - 123 - - 0 - 0 - 0 - - 534.5448 - -141.49593 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 6a1dbff5-37ef-4410-ad8d-5c11b7d61f20 - Panel - - false - 0 - bd58b089-8ae7-48e6-9aec-236ae2d4da13 - 1 - Double click to edit panel content… - - - - - - 468 - 3 - 281 - 123 - - 0 - 0 - 0 - - 468.66248 - 3.602066 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - a50d769f-20e2-4996-b784-96b8dc97a209 - Point Cloud - PCloud - false - 0 - - - - - - 33 - 51 - 50 - 24 - - - 58.635742 - 63.76397 - - - - - - 1 - - - - - 1 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c9785b8e-2f30-4f90-8ee3-cca710f82402 - Entwine - - - - - Flatten and combine a collection of data streams - true - 74c3886d-6ac5-4600-9047-bedae3096d2f - Entwine - Entwine - - - - - - 126 - 26 - 79 - 44 - - - 171 - 48 - - - - - - 2 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 1 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 2 - Data to entwine - b81a4133-5a12-43df-ac6d-33a155ae1e18 - false - Branch {0;0} - {0;0} - true - 3d693f2c-415c-44e7-b582-24f20c9d4d31 - 1 - - - - - - 128 - 28 - 28 - 20 - - - 143.5 - 38 - - - - - - - - 2 - Data to entwine - e610645b-0940-461b-82d1-6d718767df0e - false - Branch {0;1} - {0;1} - true - a50d769f-20e2-4996-b784-96b8dc97a209 - 1 - - - - - - 128 - 48 - 28 - 20 - - - 143.5 - 58 - - - - - - - - Entwined result - 4cff25d3-f728-4cb0-a6a9-9cc5a317d323 - Result - R - false - 0 - - - - - - 186 - 28 - 17 - 40 - - - 194.5 - 48 - - - - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFCloudUniformDownsample - - - - - - true - 2 - - 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 - - fe90b455-ad93-4331-ac9c-438054fdb739 - true - false - true - DFCloudUniformDownsample - UniformDown - 3 - - false - false - false - false - - - - - - 283 - -229 - 167 - 44 - - - 385 - -207 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The point cloud to reduce the size. - 8c241412-8944-4c5d-842d-6c79b9edc8b5 - i_cloud - i_cloud - true - 0 - 1 - true - 4cff25d3-f728-4cb0-a6a9-9cc5a317d323 - 1 - The point cloud to reduce the size. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 285 - -227 - 85 - 20 - - - 329 - -217 - - - - - - - - true - Every k value points will be deleted. - b14d21d4-a924-4c6d-b1b5-d657877b0cbf - i_every_k_points - i_every_k_points - true - 0 - 1 - true - 2ef2efba-b4fd-4973-bc31-6075179631f1 - 1 - Every k value points will be deleted. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 285 - -207 - 85 - 20 - - - 329 - -197 - - - - - - - - false - The downsampled cloud. - ccc3240d-cabd-49e3-b991-d459e2534145 - o_cloud - o_cloud - false - 0 - 1 - true - 0 - The downsampled cloud. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 400 - -227 - 48 - 40 - - - 424 - -207 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 7e134d83-c33c-4f83-9e4b-4c998ec971d2 - Panel - - false - 0 - ccc3240d-cabd-49e3-b991-d459e2534145 - 1 - Double click to edit panel content… - - - - - - 529 - -280 - 281 - 123 - - 0 - 0 - 0 - - 529.8063 - -279.61618 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - FastGlobalRegistration - - - - - - true - 2 - - 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 - - 15a7c537-9d6a-4fb2-b0c3-4691f6775732 - true - false - true - FastGlobalRegistration - FastGReg - 3 - - false - false - false - false - - - - - - 936 - -141 - 221 - 164 - - - 1086 - -59 - - - - - - 8 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to recompute the registration. - fd1d5fbf-af64-47a4-bf6d-2ddd2f5d2207 - i_recompute - i_recompute - true - 0 - 1 - true - 70e3f280-d48d-4a26-8373-0eb52cb51d20 - 1 - Connect a button to recompute the registration. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 938 - -139 - 133 - 20 - - - 1006 - -129 - - - - - - - - true - The source point cloud. - 3aefc1e5-4547-4590-973a-40a6fee84ea3 - i_cloud_source - i_cloud_source - true - 0 - 1 - true - a50d769f-20e2-4996-b784-96b8dc97a209 - 1 - The source point cloud. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 938 - -119 - 133 - 20 - - - 1006 - -109 - - - - - - - - true - The target cloud. - ffa0ea7f-e5da-412f-bd40-3dabdbecd8d5 - i_cloud_target - i_cloud_target - true - 0 - 1 - true - 0 - The target cloud. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 938 - -99 - 133 - 20 - - - 1006 - -89 - - - - - - - - true - The radius used to search for neighbors in the KDTree.it is expressed relative to the point cloud size (0.01 means radiusKDTreeSearch = 1% of maxSize(pointCloud). It is used for the calculation of FPFHFeatures. - 8558e29b-6ddd-4de4-935f-ce03f47a8be9 - i_radius_kd_search - i_radius_kd_search - true - 0 - 1 - true - 0 - The radius used to search for neighbors in the KDTree.it is expressed relative to the point cloud size (0.01 means radiusKDTreeSearch = 1% of maxSize(pointCloud). It is used for the calculation of FPFHFeatures. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 938 - -79 - 133 - 20 - - - 1006 - -69 - - - - - - - - true - The maximum number of neighbors to search for in the KDTree. It is used for the calculation of FPFHFeatures. A higher value will result in heavier computation but potentially more precise. - 97decf41-bf27-4c80-bac5-8f9b0ea4f5f2 - i_neighbours_kd_search - i_neighbours_kd_search - true - 0 - 1 - true - 0 - The maximum number of neighbors to search for in the KDTree. It is used for the calculation of FPFHFeatures. A higher value will result in heavier computation but potentially more precise. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 938 - -59 - 133 - 20 - - - 1006 - -49 - - - - - - - - true - The maximum distance between correspondences. A higher value will result in more correspondences, but potentially include wrong ones. - 1e56f825-f7f7-493c-b4a4-3e5e18a85324 - i_max_corrspondence_dist - i_max_corrspondence_dist - true - 0 - 1 - true - 0 - The maximum distance between correspondences. A higher value will result in more correspondences, but potentially include wrong ones. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 938 - -39 - 133 - 20 - - - 1006 - -29 - - - - - - - - true - The number of iterations to run the RanSaC registration algorithm. A higher value will take more time to compute but increases the chances of finding a good transformation. As parameter of the FastGlobalRegistrationOption options. - fb9a8192-3f99-4dff-9067-46cde3eddae4 - i_iteration_number - i_iteration_number - true - 0 - 1 - true - 0 - The number of iterations to run the RanSaC registration algorithm. A higher value will take more time to compute but increases the chances of finding a good transformation. As parameter of the FastGlobalRegistrationOption options. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 938 - -19 - 133 - 20 - - - 1006 - -9 - - - - - - - - true - The maximum number of tuples to consider in the FPFH hyperspace. A higher value will result in heavier computation but potentially more precise. As parameter of the FastGlobalRegistrationOption options. - 2f924938-5607-497c-95cf-4e9a0c12de5c - i_max_tuple_count - i_max_tuple_count - true - 0 - 1 - true - 0 - The maximum number of tuples to consider in the FPFH hyperspace. A higher value will result in heavier computation but potentially more precise. As parameter of the FastGlobalRegistrationOption options. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 938 - 1 - 133 - 20 - - - 1006 - 11 - - - - - - - - false - The computed transformation. - a79008e5-2303-45de-be3e-f7c64e9e3b45 - o_x_form - o_x_form - false - 0 - 1 - true - 0 - The computed transformation. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1101 - -139 - 54 - 160 - - - 1128 - -59 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 70e3f280-d48d-4a26-8373-0eb52cb51d20 - Button - Button - false - 0 - - - - - - 808 - -175 - 103 - 22 - - - - - - - - - - - - - - - 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 - - - - - \ No newline at end of file +version https://git-lfs.github.com/spec/v1 +oid sha256:3eef4ecb9abb1fceb95231db7d38d2e8bef54ec9ece7be7a69774dcb4f843a9e +size 599549 diff --git a/src/gh/examples/compute_distance.ghx b/src/gh/examples/compute_distance.ghx index 91830fbb..61847922 100644 --- a/src/gh/examples/compute_distance.ghx +++ b/src/gh/examples/compute_distance.ghx @@ -1,658 +1,3 @@ - - - - - - - - 0 - 2 - 2 - - - - - - - 1 - 0 - 8 - - - - - - d5e887b6-b770-4141-aafc-5d8da5356208 - Shaded - 1 - - 100;102;0;255 - - - 100;0;150;0 - - - - - - 638537389965512241 - - false - compute_distance.ghx - - - - - 0 - - - - - - 205 - 67 - - 1.2750001 - - - - - 0 - - - - - - - 0 - - - - - not_found - F:\diffCheck\temp\test.py - not_found - - - - - IBOIS, EPFL - andrea.settimi@epfl.ch - Andrea Settimi - - - - - 3 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.7.24138.15431 - - - - - RhinoCodePluginGH, Version=8.7.24138.15431, Culture=neutral, PublicKeyToken=552281e97c755530 - 8.7.24138.15431 - - 066d0a87-236f-4eae-a0f4-9e42f5327962 - RhinoCodePluginGH - - - - - - CockroachGH, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null - 1.0.0.0 - - b17c1cbd-f954-4501-9586-77a8b3a7c692 - CockroachGH - - - - - - - - 6 - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - 2 - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABhmlDQ1BJQ0MgcHJvZmlsZQAAKM+VkTtIw1AUhv+mSkUqDhZ84JChCoIFURFHiWIRLJS2QqsOJjd9QZOGJMXFUXAtOPhYrDq4OOvq4CoIgg8QZwcnRRcp8dyk0CJU8MDlfvz3/j/nngsItRLTrI4JQNNtMxGVxHRmVQy8wodB9EPAmMwsI5ZcTKFtfd3Tbaq7CM/C/6pHzVoM8InEc8wwbeIN4plN2+C8TxxiBVklPiceN6lB4keuKx6/cc67LPDMkJlKzBOHiMV8CystzAqmRjxNHFY1nfKFtMcq5y3OWqnCGn3yFwaz+kqS67SGEcUSYohDhIIKiijBRoR2nRQLCTqX2viHXH+cXAq5imDkWEAZGmTXD/4Hv2dr5aYmvaSgBHS+OM7HCBDYBepVx/k+dpz6CeB/Bq70pr9cA2Y/Sa82tfAR0LsNXFw3NWUPuNwBBp4M2ZRdyU9LyOWA9zP6pgzQdwt0r3lza5zj9AFI0ayWb4CDQ2A0T9nrbd7d1Tq3P++484P0A3o2cqrMnZbPAAAACXBIWXMAAAsMAAALDAE/QCLIAAAAB3RJTUUH6AEZFwkM569AfQAABNpJREFUSEu9kntMU3cYhguoOOZ1ujmFXqQtBcEpIwoTxOGQolLwUp24OFS0sEqh0oIV0CIg1FLKsbTlNooFKhRF8TajziW6zYFxcckW9bhlm9uiLk6nAyuWy7tTc0iI4w9l2Z7k++/7nveX9xzGfw+LWMhgV4hd48Y2iN1ZBvEoFiH2ZOrFXkydeJzPvsn05ghhmxIZnCq4xo1TCXe2GaPZJniyKvAqi8AEps5Eb/4LOJVfDQZ4PAswYizLgHHMckxi6vqmeJfMpjdHCNscQgUMDAaMoQJeoQLGUwGTfXR43bvkM3pz5LhxzHXuVMAoqp4x7Ap4sfZT9ejxmk8ppnlrEDE142bCxA3k2vHryKSZYnJrcPxS+vTFcGMR09w55keuAFf/Xs/612OKjxZvepdAMF2NFROT8IHv+5CEroZskeiaJC7Cgz5/MTzYRsVg/64PPJFZhqlUwHTvYrBmFGBZsAybw9ZCGr0SyhXLoVobk0Gfvhju/CJPD2GnY7SwE57CDngJL2FCzBeYsuQC/OM/Rdiq45AsWQP5ygSoEpdi94fRDyslc6SWNH9pvVwgtWb7SQ/k8CfRumHY2ithpACD45YyAA9JP3ykPQiQdSNh4zlsS1gFZaIIuZuEKEx5DwZZKKyZAWhUCdC0i5o9fIK2Pcfm7gmMlIF7zwd4b3MiMMOBhdvvQLJ6C+TrV0CVvBz5qTEoTo+CThmBAzlBaNotgK3AD80av97mUt4s2joESX/ZULlr3pD2I1Deg/nKLiQmN0O2Xoys5HjsksaiUB6Nfcp3UZ67ANX5IThYRMn38dFSxoed4J+lrTRbngio1zuHyid9NABeei+CFQ5EZ91FcsZZyBTtUGUfRGFuLXRqAuaCEtQX51GvlqCllBLr+Wg18HDIzIO9xnc5baeQ9J0YKncNU9aPOYoeLNzZhXWZV5CiOI3MHW3Iy21AsboSRIEe1ZpCNGh3okUXjhaCkhspeRUPh2u5aLNwb1isM0a7Xi98Xj49rR8CuRPvqBxYtuNXbFKcR5rqBLLz7MjPt0BbZIRRo0WdLh82fRLs+/k4ZKLk1ZT4Yy6O1FPT6IujzTMzqT/HGUv1nzp0eOnO1JAsR+rinPuZiYrOPonqLOS57chRH8TevbUo01D16IrRSOSgwxCJK6ZgXK2ZjW/rZuGa1Q+kjYfvW7i40ep7ne5oeNbIL6mTsi9gW95pKNVtUBc1QKOpwn5dGarLC3GxYiN+Mkfgds183LcEo8sahB6bP3rtfAwc5qK3nbORVv0TUdpF1jplx+OtueeRvvskVIV2FJTUQ1tqgpHQotm4EzeMi3GrKhx36+bhgXUuum2B6LEL0NfGQ/8x38u0anhWbe/Yu0H1OZm66wyZuecomVfSRBZpa0h9OUGaK4rJL43rcbN6EX6xhOF3awge2mbjcWsAnrb5oe84F49PcUJp1ctz2SCM+64qGj/URuK3A6G4Z5uLR/YgONoEcB7jwXlqZiO9+vKcIaLHfG2KJa/VLMaPlnDcts3DHy1z8NfhQDxp96Pk3O77Z9gz6PWXp7MiTnG1MhbX66Lwc8MC3GkOwYNDb6GrPQA9J/lwnPbNo1dHRqdJFPVNbYyItEaKbjWFie62vi3680iQqPu4v+jpJzzRg3PssfTq/wGD8Tedsdp6457pjwAAAABJRU5ErkJggg== - - 6df0796b-7309-4ff7-a349-4253001b0642 - true - false - true - script-sync cpython - scsy-cpy - 2 - - false - false - false - false - - - - - - 191 - 75 - 173 - 84 - - - 306 - 117 - - - - - - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - adad534f-3d08-4822-b109-1c2a2d554351 - select_file - select_file - true - 0 - 1 - true - 3c1af667-e496-4707-9d97-c7c876fbb900 - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 193 - 77 - 98 - 20 - - - 243.5 - 87 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 035fb9a8-4d5a-4778-869a-6ca4a1f67a33 - packages_2_reload - packages_2_reload - true - 1 - 1 - true - 7d617311-92b4-4ae3-af5d-16954f94ccb2 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 193 - 97 - 98 - 20 - - - 243.5 - 107 - - - - - - - - true - Converts to collection of polygon meshes - 63918935-6fec-4e43-b89a-3826dd177bb3 - i_rh_mesh - i_rh_mesh - true - 0 - 1 - true - fe32f803-6c67-4ac4-bbbe-3d04747d9b19 - 1 - - 794a1f9d-21d5-4379-b987-9e8bbf433912 - - - - - - 193 - 117 - 98 - 20 - - - 243.5 - 127 - - - - - - - - true - Converts to collection of point clouds - e0a7df49-c318-4f6f-8b74-00b6d8798a19 - i_rh_cloud - i_rh_cloud - true - 0 - 1 - true - 9d4f8b37-3aac-4878-a78e-fcb7ed510bec - 1 - - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 193 - 137 - 98 - 20 - - - 243.5 - 147 - - - - - - - - false - The redirected standard output of the component scriptsync. - d560373b-c620-4598-8866-27545f3b6aa4 - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 321 - 77 - 41 - 40 - - - 341.5 - 97 - - - - - - - - false - Generic example output of the component - 4044bf8e-475e-4770-8384-c5e1bce600d5 - a - a - false - 0 - 1 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 321 - 117 - 41 - 40 - - - 341.5 - 137 - - - - - - - - - - false - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
            select_file: bool,
            packages_2_reload: System.Collections.Generic.List[str],
            i_rh_mesh: Rhino.Geometry.Mesh,
            i_rh_cloud: Rhino.Geometry.PointCloud):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - S - - - - - *.*.python - 3.* - - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 3c1af667-e496-4707-9d97-c7c876fbb900 - Button - - false - 0 - - - - - - 92 - 54 - 66 - 22 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 7d617311-92b4-4ae3-af5d-16954f94ccb2 - Panel - - false - 0 - 0 - diffCheck - - - - - - 50 - 80 - 115 - 37 - - 0 - 0 - 0 - - 50.41481 - 80.29074 - - - - - - - 255;213;217;232 - - true - true - false - false - false - true - - - - - - - - - 1e936df3-0eea-4246-8549-514cb8862b7a - Mesh - - - - - Contains a collection of polygon meshes - fe32f803-6c67-4ac4-bbbe-3d04747d9b19 - Mesh - Mesh - false - 0 - - - - - - 111 - 120 - 50 - 24 - - - 136.65189 - 132.83435 - - - - - - 1 - - - - - 1 - {0} - - - - - - 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 - - 3f857752-c9b3-46d8-b707-f84aaaeffdb4 - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 2479a90a-8d76-4127-a42a-325e680f1856 - Panel - - false - 0 - d560373b-c620-4598-8866-27545f3b6aa4 - 1 - Double click to edit panel content… - - - - - - 391 - 32 - 368 - 131 - - 0 - 0 - 0 - - 391.2284 - 32.082 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - e285577d-197d-42ab-9fa8-e634fb1ddddd - b17c1cbd-f954-4501-9586-77a8b3a7c692 - PointCloud - - - - - PointCloud - 9d4f8b37-3aac-4878-a78e-fcb7ed510bec - PointCloud - Cloud - false - 0 - - - - - - 109 - 149 - 50 - 24 - - - 134.7145 - 161.89622 - - - - - - 1 - - - - - 1 - {0} - - - - - 175ab5d5-bb6d-44cf-8d34-49edc54849a9 - - - - - - - - - - - - - - - - - - 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 - - - - - \ No newline at end of file +version https://git-lfs.github.com/spec/v1 +oid sha256:9db23d309578702724dc3c55e77544679ed3386159afe1965bb10894c4d8e1ef +size 97753 diff --git a/src/gh/examples/error_viz_tester.ghx b/src/gh/examples/error_viz_tester.ghx index 41a738b9..83dce66f 100644 --- a/src/gh/examples/error_viz_tester.ghx +++ b/src/gh/examples/error_viz_tester.ghx @@ -1,13765 +1,3 @@ - - - - - - - - 0 - 2 - 2 - - - - - - - 1 - 0 - 8 - - - - - - e0804480-29e6-432a-931a-4f7ea5279d0c - Shaded - 1 - - 100;150;0;0 - - - 100;0;150;0 - - - - - - 638503455711387165 - - false - error_viz_tester.ghx - - - - - 0 - - - - - - 311 - -1335 - - 1.0440127 - - - - - 0 - - - - - - - 0 - - - - - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization_settings\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_cloud_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_mesh_distance2\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_load_cloud_from_file\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cvs_exporter\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - - - - - 8 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.9.24194.18121 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.9.24194.18121 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.9.24194.18121 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.9.24194.18121 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.9.24194.18121 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.9.24194.18121 - - - - - RhinoCodePluginGH, Version=8.9.24194.18121, Culture=neutral, PublicKeyToken=552281e97c755530 - 8.9.24194.18121 - - 066d0a87-236f-4eae-a0f4-9e42f5327962 - RhinoCodePluginGH - - - - - - Meshedit2000, Version=2.0.0.0, Culture=neutral, PublicKeyToken=null - 2.0.0.0 - [uto] - 14601aeb-b64f-9304-459d-d5d06df91218 - MeshEdit Components - 2.0.0.0 - - - - - - - 168 - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 150;255;0;255 - - A group of Grasshopper objects - 95a6d666-0341-47ad-92b8-05a2d7359f9d - 048417ee-0258-40df-8d71-ee65ffd0ba34 - c0af2351-9508-4534-88db-29ace702bda3 - 35fd08f3-5744-4c6e-be3a-cd2024d08772 - ba6681ae-65d4-456f-beab-33cea7d30dd3 - 77230d7e-0012-4715-b068-53cb79734bc0 - e9b1dda9-7f5f-4443-94a2-2414c7696c02 - a63ea732-d788-4376-b1f5-7a9fab002a70 - 8 - b5d006f1-0cc3-4612-948d-a390880f9d31 - Group - - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - true - 7514d03c-6707-4fad-a690-58ddf550d4dd - Point Cloud - Point Cloud - false - 42d4ac43-8b35-4dc4-aafa-25e746391f6a - 6527813d-473b-4a75-be13-db5b5ed846cd - 2 - - - - - - 892 - 673 - 50 - 24 - - - 917.0662 - 685.60596 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 66328fcd-efd9-42b7-87ec-d514a5dd32a2 - Panel - - false - 0 - 0 - diffCheck - - - - - - 784 - 842 - 113 - 38 - - 0 - 0 - 0 - - 784.67084 - 842.85944 - - - - - - - 255;213;217;232 - - true - true - false - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - true - 1 - - 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 - - 834f4a6a-c436-4b4e-b63b-73f16497b008 - true - false - true - script-sync cpython - Cloud2Cloud - 3 - - false - false - false - false - - - - - - 1079 - 613 - 222 - 144 - - - 1194 - 685 - - - - - - 5 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 7 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - 1fbd77da-0363-4bef-ab80-62b402188832 - select_file - select_file - true - 0 - 1 - true - 787d715a-2b59-428c-abf5-7916f05d7ba3 - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1081 - 615 - 98 - 28 - - - 1131.5 - 629 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 487ba583-20e4-43af-97c0-262fa833c095 - packages_2_reload - packages_2_reload - true - 1 - 1 - true - 66328fcd-efd9-42b7-87ec-d514a5dd32a2 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1081 - 643 - 98 - 28 - - - 1131.5 - 657 - - - - - - - - 1 - true - A generic x input. - d30ce064-0174-424e-b7f0-bede34a56448 - i_cloud_source - i_cloud_source - true - 1 - 1 - true - 7514d03c-6707-4fad-a690-58ddf550d4dd - 1 - A generic x input. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 1081 - 671 - 98 - 28 - - - 1131.5 - 685 - - - - - - - - 1 - true - Converts to collection of point clouds - bc66fc2f-a5b4-4213-85c0-a2a5966684d7 - i_cloud_target - i_cloud_target - true - 1 - 1 - true - b01a0b9d-01ad-46cd-992c-d420e8eeb90c - 1 - - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 1081 - 699 - 98 - 28 - - - 1131.5 - 713 - - - - - - - - true - Converts to collection of boolean values - 5591f974-85e6-4148-bc7b-de356b1b91e7 - i_swap - i_swap - true - 0 - 1 - true - 76760db5-9656-4cc3-9ee3-14f011c46fa0 - 1 - - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1081 - 727 - 98 - 28 - - - 1131.5 - 741 - - - - - - - - false - The redirected standard output of the component scriptsync. - 383d04d5-d39d-4123-8041-4066c4ae2899 - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1209 - 615 - 90 - 20 - - - 1254 - 625 - - - - - - - - false - Generic example output of the component - 8fcd853d-63d2-4364-8f02-f048c161596c - o_distances - o_distances - false - 0 - 1 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1209 - 635 - 90 - 20 - - - 1254 - 645 - - - - - - - - false - rhinoscriptsyntax geometry - 46c905ce-3f0f-4951-84e0-ab191ae246bd - o_mse - o_mse - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1209 - 655 - 90 - 20 - - - 1254 - 665 - - - - - - - - false - rhinoscriptsyntax geometry - c6d5bc15-cf36-4e1c-a9ea-2550699f0dab - o_max_deviation - o_max_deviation - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1209 - 675 - 90 - 20 - - - 1254 - 685 - - - - - - - - false - rhinoscriptsyntax geometry - 41b4a7e9-fe5b-4e40-af3a-94cbc6e4b00a - o_min_deviation - o_min_deviation - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1209 - 695 - 90 - 20 - - - 1254 - 705 - - - - - - - - false - rhinoscriptsyntax geometry - 7c3a3407-0594-4649-b966-11cad3810515 - o_std_deviation - o_std_deviation - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1209 - 715 - 90 - 20 - - - 1254 - 725 - - - - - - - - false - rhinoscriptsyntax geometry - e3789d33-d982-49b8-80dd-af3803bcb5db - o_results - o_results - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1209 - 735 - 90 - 20 - - - 1254 - 745 - - - - - - - - - - true - false - true - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
            select_file: bool,
            packages_2_reload: System.Collections.Generic.List[str],
            i_cloud_source: Rhino.Geometry.PointCloud,
            i_cloud_target: Rhino.Geometry.PointCloud,
            i_swap: bool):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - Cloud2Cloud - - - - - *.*.python - 3.* - - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 787d715a-2b59-428c-abf5-7916f05d7ba3 - Button - Button - false - 0 - - - - - - 841 - 621 - 103 - 22 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ab3f6c0e-988c-481d-95be-d0a293794401 - 1 - 810ab5e9-e874-48ae-8412-3a4666203a29 - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 8e8e49a3-ffdb-4bf9-b2c9-f11fbc16624c - 1 - c945d0a6-5e83-4eba-bfd7-89da3712f72f - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 75730beb-fdbf-4732-822c-9d7c17e9fbed - 1 - 03ab31fb-7a8b-4efd-bf87-6147a585b988 - Group - DFXMLExporter - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 84aab5f4-54df-4c7b-98da-319109c285a3 - 1 - d4465255-1321-4991-a243-5b82d168facf - Group - Export XYZ - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - cf5dd4ed-1e07-4fba-8bd9-b272aa7d1ff3 - 1 - 3c1a1139-dc72-476b-99d5-8dafe733aa79 - Group - Python 3 Script - - - - - - - - - - 4373a3f7-7b9a-4379-bb16-a760ba0dde4f - 14601aeb-b64f-9304-459d-d5d06df91218 - Mesh Explode - - - - - Decompose a mesh into its faces - true - 87f5d329-7a96-41e3-80b5-d68dd51520d4 - Mesh Explode - Mesh Explode - - - - - - -101 - 783 - 130 - 44 - - - -24 - 805 - - - - - - The open or closed mesh - true - c7ce0d72-5509-480b-acc2-96e721f9282c - Mesh - Mesh - false - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - 1 - - - - - - -99 - 785 - 60 - 20 - - - -67.5 - 795 - - - - - - - - Interpolate vertex Colours - f94d4649-3ea8-4b89-9981-17c49fc66f76 - Interpolate - Interpolate - true - 0 - - - - - - -99 - 805 - 60 - 20 - - - -67.5 - 815 - - - - - - 1 - - - - - 1 - {0} - - - - - false - - - - - - - - - - - Faces of mesh - c81fd0df-038a-4198-88e8-07487e28d2c0 - Faces - Faces - false - 0 - - - - - - -9 - 785 - 36 - 40 - - - 9 - 805 - - - - - - - - - - - - c8cb6a5c-2ffd-4095-ba2a-5c35015e09e4 - Populate Geometry - - - - - Populate generic geometry with points - true - 72a71646-1ad0-4920-bf80-5cc7e11d7b21 - Populate Geometry - Populate Geometry - - - - - - 196 - 861 - 168 - 84 - - - 268 - 903 - - - - - - Geometry to populate (curves, surfaces, breps and meshes only) - 13798436-04af-4606-a81e-bf122b8940d4 - Geometry - Geometry - false - 7d2d6fa0-af77-43c1-a6dc-9876a28c628b - 1 - - - - - - 198 - 863 - 55 - 20 - - - 227 - 873 - - - - - - - - Number of points to add - 9f11a17a-4b32-43d2-b0e1-0d2fa11d34b5 - Count - Count - false - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - 1 - - - - - - 198 - 883 - 55 - 20 - - - 227 - 893 - - - - - - 1 - - - - - 1 - {0} - - - - - 100 - - - - - - - - - - - Random seed for insertion - 113d4a64-dc1a-4274-9fa1-58ffbbf18400 - Seed - Seed - false - 846ea790-c836-4191-9324-b5c2ada6110d - 1 - - - - - - 198 - 903 - 55 - 20 - - - 227 - 913 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 1 - Optional pre-existing population - 3ae8b0f0-6836-49fe-a6e0-922eecebbc9c - Points - Points - true - 0 - - - - - - 198 - 923 - 55 - 20 - - - 227 - 933 - - - - - - - - 1 - Population of inserted points - 7079096c-52b5-4da9-8fbe-4d3bacdd8f3b - Population - Population - false - true - 0 - - - - - - 283 - 863 - 79 - 80 - - - 314.5 - 903 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 846ea790-c836-4191-9324-b5c2ada6110d - Number Slider - Number Slider - false - 0 - - - - - - -56 - 925 - 203 - 20 - - - -55.30374 - 925.15 - - - - - - 3 - 1 - 1 - 10 - 0 - 0 - 2 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3d403147-b25b-450d-a84a-5f7018461c1a - 1 - 478166a9-7e8c-4d83-b635-5fa756a11b40 - Group - Mesh Explode - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - d22d8707-a9bf-47b9-9ba0-fbef94a89f56 - 1 - 0450bd0e-1fbd-4277-9496-51813f006b92 - Group - Deconstruct Mesh - - - - - - - - - - 2835454d-dc77-459d-a4d4-8f66078d88ca - Point Cloud Attributes - - - - - Point Cloud Attributes - true - b242093d-115c-4a90-832b-a50e2271116a - Point Cloud Attributes - Point Cloud Attributes - IOComponents, Version=8.9.24194.18121 - - - - - - 559 - 840 - 143 - 124 - - - 629 - 902 - - - - - - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - - - - - Point Cloud - 74b518e2-4912-47ef-a87f-fc73e3eaf4e8 - Cloud - Cloud - true - 0 - - - - - - 561 - 842 - 53 - 20 - - - 589 - 852 - - - - - - - - 1 - The locations of the points in the point cloud - 930ecefc-d389-4a50-bb39-87ba3d82bd8f - Locations - Locations - true - e4c45281-d336-43da-8de9-7518738c33cf - 1 - - - - - - 561 - 862 - 53 - 20 - - - 589 - 872 - - - - - - - - 1 - The normal vectors for the point cloud - 8ac12f82-dc93-407e-b155-be130a097c79 - Normals - Normals - true - 0 - - - - - - 561 - 882 - 53 - 20 - - - 589 - 892 - - - - - - - - 1 - The colours for the point cloud - d82cb3ba-670f-4da4-a0f1-8d1ed2ae6f13 - Colours - Colours - true - 0 - - - - - - 561 - 902 - 53 - 20 - - - 589 - 912 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - a3f96524-ed57-4b5c-bf8f-a2d93128e8ef - Extra - Extra - true - 0 - - - - - - 561 - 922 - 53 - 20 - - - 589 - 932 - - - - - - - - 1 - The visibility flags for the point cloud. - fb140182-e1f6-445b-bfd1-b197787a1336 - Hidden - Hidden - true - 0 - - - - - - 561 - 942 - 53 - 20 - - - 589 - 952 - - - - - - - - Point Cloud - 6ebab7cd-7db3-4f14-ba81-2d1376b5c7f0 - Cloud - Cloud - false - 0 - - - - - - 644 - 842 - 56 - 20 - - - 672 - 852 - - - - - - - - 1 - The locations of the points in the point cloud - true - f75c0428-f29c-41a7-9d9c-d70602de73f3 - Locations - Locations - false - 0 - - - - - - 644 - 862 - 56 - 20 - - - 672 - 872 - - - - - - - - 1 - The normal vectors for the point cloud - 8d8631b5-9bac-4038-884e-1399f8454b58 - Normals - Normals - false - 0 - - - - - - 644 - 882 - 56 - 20 - - - 672 - 892 - - - - - - - - 1 - The colours for the point cloud - 9b36566b-b026-40b1-bae4-803f384e5bf9 - Colours - Colours - false - 0 - - - - - - 644 - 902 - 56 - 20 - - - 672 - 912 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 1fce38ff-d7a3-463a-ac23-8342ca1a7fdc - Extra - Extra - false - 0 - - - - - - 644 - 922 - 56 - 20 - - - 672 - 932 - - - - - - - - 1 - The visibility flags for the point cloud. - 6bd5cd2b-a7b9-4762-b8aa-0a9fe23cc2e7 - Hidden - Hidden - false - 0 - - - - - - 644 - 942 - 56 - 20 - - - 672 - 952 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 61a3c238-f88a-4956-8944-178d621388ed - 1 - 710f8859-d288-4cec-82cd-a5560b6595ce - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 88b5b78e-5dc0-4274-965b-31b5462f8896 - 1 - 67c62d9e-4587-4648-84b7-bdcbdffd7032 - Group - Mesh Closest Point - - - - - - - - - - 1e936df3-0eea-4246-8549-514cb8862b7a - Mesh - - - - - Contains a collection of polygon meshes - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - Mesh - Mesh - false - 0 - - - - - - -384 - 792 - 50 - 24 - - - -358.88437 - 804.7095 - - - - - - 1 - - - - - 1 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c8cb6a5c-2ffd-4095-ba2a-5c35015e09e4 - Populate Geometry - - - - - Populate generic geometry with points - true - 51b3a4af-6648-47a7-8c8f-ef1db4e7d077 - Populate Geometry - Populate Geometry - - - - - - 277 - 660 - 152 - 84 - - - 349 - 702 - - - - - - Geometry to populate (curves, surfaces, breps and meshes only) - 641536ec-5103-46ef-be82-9c74aa927c66 - Geometry - Geometry - false - c81fd0df-038a-4198-88e8-07487e28d2c0 - 1 - - - - - - 279 - 662 - 55 - 20 - - - 308 - 672 - - - - - - - - Number of points to add - 21cddc24-bde2-4763-b6e3-33933bd682b7 - Count - Count - false - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - 1 - - - - - - 279 - 682 - 55 - 20 - - - 308 - 692 - - - - - - 1 - - - - - 1 - {0} - - - - - 100 - - - - - - - - - - - Random seed for insertion - 3eeb80e0-ec9b-45e8-afe6-3314533c2bb7 - Seed - Seed - false - 0 - - - - - - 279 - 702 - 55 - 20 - - - 308 - 712 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 1 - Optional pre-existing population - 6d775b7d-188b-4594-abaf-d3546f715e2c - Points - Points - true - 0 - - - - - - 279 - 722 - 55 - 20 - - - 308 - 732 - - - - - - - - 1 - Population of inserted points - 420390c3-362f-4b65-9c6b-4e0fa4dddce7 - Population - Population - false - 0 - - - - - - 364 - 662 - 63 - 80 - - - 395.5 - 702 - - - - - - - - - - - - 2835454d-dc77-459d-a4d4-8f66078d88ca - Point Cloud Attributes - - - - - Point Cloud Attributes - true - 4febcd3d-3889-48b3-8717-9f54bd7f159a - Point Cloud Attributes - Point Cloud Attributes - IOComponents, Version=8.9.24194.18121 - - - - - - 642 - 527 - 143 - 124 - - - 712 - 589 - - - - - - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - - - - - Point Cloud - 457f1ecd-2097-4175-b8fc-9dbd1558cddd - Cloud - Cloud - true - 0 - - - - - - 644 - 529 - 53 - 20 - - - 672 - 539 - - - - - - - - 1 - The locations of the points in the point cloud - 960fbcdd-4c0a-432f-9295-757bd757db5c - Locations - Locations - true - 823b4027-7e34-42d1-b83f-564f74a7f092 - 1 - - - - - - 644 - 549 - 53 - 20 - - - 672 - 559 - - - - - - - - 1 - The normal vectors for the point cloud - bd69eaed-9217-4793-b6a1-d35fc6b78197 - Normals - Normals - true - 0 - - - - - - 644 - 569 - 53 - 20 - - - 672 - 579 - - - - - - - - 1 - The colours for the point cloud - 81e25e62-65ae-46bb-b7c5-dd478f6c8941 - Colours - Colours - true - 0 - - - - - - 644 - 589 - 53 - 20 - - - 672 - 599 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 19a6450e-38bb-4ae6-a420-22f8476618fa - Extra - Extra - true - 0 - - - - - - 644 - 609 - 53 - 20 - - - 672 - 619 - - - - - - - - 1 - The visibility flags for the point cloud. - c10d25a8-4a26-4f52-a2b8-0c6b83f2f9cb - Hidden - Hidden - true - 0 - - - - - - 644 - 629 - 53 - 20 - - - 672 - 639 - - - - - - - - Point Cloud - 42d4ac43-8b35-4dc4-aafa-25e746391f6a - Cloud - Cloud - false - 0 - - - - - - 727 - 529 - 56 - 20 - - - 755 - 539 - - - - - - - - 1 - The locations of the points in the point cloud - true - 5baee9a3-8384-4057-8c11-92f3f01e3f6e - Locations - Locations - false - 0 - - - - - - 727 - 549 - 56 - 20 - - - 755 - 559 - - - - - - - - 1 - The normal vectors for the point cloud - ab299d1d-1be0-4bfe-892d-cb0fda00ce1b - Normals - Normals - false - 0 - - - - - - 727 - 569 - 56 - 20 - - - 755 - 579 - - - - - - - - 1 - The colours for the point cloud - c6dbea7b-3c96-433e-86dc-ea5fff2f1378 - Colours - Colours - false - 0 - - - - - - 727 - 589 - 56 - 20 - - - 755 - 599 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 050f4acd-a973-4e82-9819-b4c60e0ce5f4 - Extra - Extra - false - 0 - - - - - - 727 - 609 - 56 - 20 - - - 755 - 619 - - - - - - - - 1 - The visibility flags for the point cloud. - dfce886e-13eb-47c0-b336-d8a7d82d549b - Hidden - Hidden - false - 0 - - - - - - 727 - 629 - 56 - 20 - - - 755 - 639 - - - - - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - true - b01a0b9d-01ad-46cd-992c-d420e8eeb90c - Point Cloud - Point Cloud - false - 6ebab7cd-7db3-4f14-ba81-2d1376b5c7f0 - 6527813d-473b-4a75-be13-db5b5ed846cd - 2 - - - - - - 892 - 706 - 50 - 24 - - - 917.1188 - 718.1913 - - - - - - - - - - f80cfe18-9510-4b89-8301-8e58faf423bb - Flatten Tree - - - - - Flatten a data tree by removing all branching information. - true - 3793dcf8-bbf6-475c-b6a1-7858436c4496 - Flatten Tree - Flatten Tree - - - - - - 472 - 662 - 94 - 44 - - - 518 - 684 - - - - - - 2 - Data tree to flatten - 2a8b07e5-3a19-4557-a06f-e8d8e77cee54 - Tree - Tree - false - 420390c3-362f-4b65-9c6b-4e0fa4dddce7 - 1 - - - - - - 474 - 664 - 29 - 20 - - - 490 - 674 - - - - - - - - Path of flattened tree - 130299e1-086e-446a-9075-a6f1bc96efd3 - Path - Path - false - 0 - - - - - - 474 - 684 - 29 - 20 - - - 490 - 694 - - - - - - 1 - - - - - 1 - {0} - - - - - {0} - - - - - - - - - - - 2 - Flattened data tree - 823b4027-7e34-42d1-b83f-564f74a7f092 - Tree - Tree - false - 0 - - - - - - 533 - 664 - 31 - 40 - - - 548.5 - 684 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 339458ae-9c59-4106-8603-81495405153c - 1 - 51b61489-5f69-4235-aaba-696430447b92 - Group - script-sync cpython - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - ef69edb6-8129-4327-949c-29e489d7da3a - Move - Move - - - - - - -362 - 871 - 148 - 44 - - - -290 - 893 - - - - - - Base geometry - e8850edf-5651-45f1-b895-58e1582605ef - Geometry - Geometry - true - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - 1 - - - - - - -360 - 873 - 55 - 20 - - - -331 - 883 - - - - - - - - Translation vector - b4adab59-6e92-44a8-b757-93cfafd0e878 - Motion - Motion - false - 194f4f7e-3803-4f2b-9a26-e89101c97f22 - 1 - - - - - - -360 - 893 - 55 - 20 - - - -331 - 903 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - 06373066-8f79-4b2b-b83e-a99fcbb6b60c - Geometry - Geometry - false - 0 - - - - - - -275 - 873 - 59 - 20 - - - -245.5 - 883 - - - - - - - - Transformation data - 81ef04bf-b8b3-464a-8ebf-fd9cd55e0a7b - Transform - Transform - false - 0 - - - - - - -275 - 893 - 59 - 20 - - - -245.5 - 903 - - - - - - - - - - - - 3581f42a-9592-4549-bd6b-1c0fc39d067b - Construct Point - - - - - Construct a point from {xyz} coordinates. - true - fc46972f-be0d-48f5-a51c-1ff43bd476f7 - Construct Point - Construct Point - - - - - - -568 - 867 - 138 - 64 - - - -482 - 899 - - - - - - {x} coordinate - d57846ff-51ca-4f81-b76f-5b5d7e40077f - X coordinate - X coordinate - false - dcd0daa9-5789-4528-a13e-0edf403ca46d - 1 - - - - - - -566 - 869 - 69 - 20 - - - -530 - 879 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - {y} coordinate - 928deb39-8d6b-443c-a969-080f048e1797 - Y coordinate - Y coordinate - false - 94bd4256-3f79-475c-ae71-1198bf6a2b71 - 1 - - - - - - -566 - 889 - 69 - 20 - - - -530 - 899 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - {z} coordinate - c1137724-7e81-4e68-b204-c725066d2b87 - Z coordinate - Z coordinate - false - 269708ea-90c6-462d-bcd3-d0430985ca68 - 1 - - - - - - -566 - 909 - 69 - 20 - - - -530 - 919 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Point coordinate - 194f4f7e-3803-4f2b-9a26-e89101c97f22 - Point - Point - false - 0 - - - - - - -467 - 869 - 35 - 60 - - - -449.5 - 899 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - dcd0daa9-5789-4528-a13e-0edf403ca46d - Number Slider - Number Slider - false - 0 - - - - - - -796 - 872 - 203 - 20 - - - -795.15454 - 872.16656 - - - - - - 2 - 1 - 0 - 1 - 0 - 0 - 1 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 125a3053-4ace-4b24-a6dd-b629271da698 - 1 - c8c774ef-5a0f-4667-80f6-d35e283aab3e - Group - Point - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 36d8cb88-0a3b-44a3-b168-094b6fec4ed2 - 1 - 0244f29b-78ca-45fd-86b4-81362ef9d240 - Group - solver - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 460c585c-383b-4d37-ab09-fdfa8501314a - 1 - 3f1c44b1-ad12-44d7-b5f8-24a071e481ec - Group - Smaller Than - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - Number Slider - Number Slider - false - 0 - - - - - - -113 - 695 - 203 - 20 - - - -112.088234 - 695.294 - - - - - - 3 - 1 - 1 - 600 - 0 - 0 - 200 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 94bd4256-3f79-475c-ae71-1198bf6a2b71 - Number Slider - Number Slider - false - 0 - - - - - - -795 - 894 - 203 - 20 - - - -794.1858 - 894.4491 - - - - - - 2 - 1 - 0 - 1 - 0 - 0 - 0 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 269708ea-90c6-462d-bcd3-d0430985ca68 - Number Slider - Number Slider - false - 0 - - - - - - -792 - 913 - 203 - 20 - - - -791.77203 - 913.8417 - - - - - - 2 - 1 - 0 - 1 - 0 - 0 - 0 - - - - - - - - - 4373a3f7-7b9a-4379-bb16-a760ba0dde4f - 14601aeb-b64f-9304-459d-d5d06df91218 - Mesh Explode - - - - - Decompose a mesh into its faces - true - b7cadbb0-f3f6-441f-a8e9-5f535c4d5341 - Mesh Explode - Mesh Explode - - - - - - -83 - 851 - 130 - 44 - - - -6 - 873 - - - - - - The open or closed mesh - true - 7baf1f35-ee01-4bb4-99d3-f0d6229aacf7 - Mesh - Mesh - false - 45371f0f-33be-4629-99c7-632e72d11a51 - 1 - - - - - - -81 - 853 - 60 - 20 - - - -49.5 - 863 - - - - - - - - Interpolate vertex Colours - 9cfe082d-0fb7-4855-9640-f2c398c4d2c6 - Interpolate - Interpolate - true - 0 - - - - - - -81 - 873 - 60 - 20 - - - -49.5 - 883 - - - - - - 1 - - - - - 1 - {0} - - - - - false - - - - - - - - - - - Faces of mesh - 7d2d6fa0-af77-43c1-a6dc-9876a28c628b - Faces - Faces - false - 0 - - - - - - 9 - 853 - 36 - 40 - - - 27 - 873 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b88a1159-2954-4fd0-bca7-e8a49bb33592 - 1 - ee035763-f733-42f5-9d78-c5c68ce97d6d - Group - Vector Display - - - - - - - - - - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 - Scale - - - - - Scale an object uniformly in all directions. - true - da78eacf-fcd8-4022-ba36-b83551843cb6 - Scale - Scale - - - - - - -274 - 946 - 148 - 64 - - - -202 - 978 - - - - - - Base geometry - 0ffcc918-5a80-4615-ae97-0936d244a406 - Geometry - Geometry - true - 06373066-8f79-4b2b-b83e-a99fcbb6b60c - 1 - - - - - - -272 - 948 - 55 - 20 - - - -243 - 958 - - - - - - - - Center of scaling - b37a03a5-c9f1-48c1-b79a-d4bdcbb8180a - Center - Center - false - 40a2504f-56a4-4727-805d-81906a2384af - 1 - - - - - - -272 - 968 - 55 - 20 - - - -243 - 978 - - - - - - 1 - - - - - 1 - {0} - - - - - - - 0 - 0 - 0 - - - - - - - - - - - - Scaling factor - 01d230af-3159-48de-8a95-793daab949a3 - Factor - Factor - false - 8415d429-e830-45a1-806f-a910ba269381 - 1 - - - - - - -272 - 988 - 55 - 20 - - - -243 - 998 - - - - - - 1 - - - - - 1 - {0} - - - - - 0.5 - - - - - - - - - - - Scaled geometry - 45371f0f-33be-4629-99c7-632e72d11a51 - Geometry - Geometry - false - 0 - - - - - - -187 - 948 - 59 - 30 - - - -157.5 - 963 - - - - - - - - Transformation data - f49e198d-eed7-4294-bbed-a7783b24870e - Transform - Transform - false - 0 - - - - - - -187 - 978 - 59 - 30 - - - -157.5 - 993 - - - - - - - - - - - - 7c0523e8-79c9-45a2-8777-cf0d46bc5432 - Volume - - - - - Solve volume properties for closed breps and meshes. - true - c9d7ab64-12d9-47a6-9f5a-b7d486582e06 - Volume - Volume - - - - - - -462 - 945 - 141 - 44 - - - -390 - 967 - - - - - - 1 - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 - 2 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - fbac3e32-f100-4292-8692-77240a42fd1a - - - - - Closed brep or mesh for volume computation - ff0a2e2c-e89f-44ab-a22c-7b55c826faff - Geometry - Geometry - false - 06373066-8f79-4b2b-b83e-a99fcbb6b60c - 1 - - - - - - -460 - 947 - 55 - 40 - - - -431 - 967 - - - - - - - - Volume of geometry - 656b79de-bb50-43f5-b987-c2925c5738b1 - Volume - Volume - true - 0 - - - - - - -375 - 947 - 52 - 20 - - - -349 - 957 - - - - - - - - Volume centroid of geometry - 40a2504f-56a4-4727-805d-81906a2384af - Centroid - Centroid - true - 0 - - - - - - -375 - 967 - 52 - 20 - - - -349 - 977 - - - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 8415d429-e830-45a1-806f-a910ba269381 - Number Slider - Number Slider - false - 0 - - - - - - -507 - 1025 - 203 - 20 - - - -506.70233 - 1025.1802 - - - - - - 1 - 1 - 0 - 10 - 0 - 0 - 1.1 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - e27f5330-0022-4d5f-8247-0150d9b232e3 - 1 - f3961bb4-61e3-4fee-83a3-239165a3d3be - Group - Sphere - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - fb059d33-4154-47bc-acbf-d3cb3d5951c5 - Panel - - false - 0 - 0 - diffCheck - - - - - - 1225 - 1894 - 113 - 35 - - 0 - 0 - 0 - - 1225.526 - 1894.6299 - - - - - - - 255;213;217;232 - - true - true - false - false - false - true - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 30a90aaf-1a4a-4241-bf58-865c356ff3cd - Button - Button - false - 0 - - - - - - 1235 - 1868 - 103 - 22 - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFBuildAssembly - - - - - - true - true - 2 - - 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 - - 66de31f8-b1d8-4a6f-8c9b-a2139fbc21e9 - true - false - true - DFBuildAssembly - DFBuildAssembly - 3 - - false - false - false - false - - - - - - -284 - 1980 - 190 - 44 - - - -177 - 2002 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The name of the assembly to export. - 181bbf1f-be20-4621-b146-c197484ba0df - i_assembly_name - i_assembly_name - true - 0 - 1 - true - 0d554d4e-86ab-4542-ad80-f31d46d1390c - 1 - The name of the assembly to export. - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - -282 - 1982 - 90 - 20 - - - -235.5 - 1992 - - - - - - - - 1 - true - The breps of the structure. - 46246668-4b25-4776-852e-48292f55092c - i_breps - i_breps - true - 1 - 1 - true - b13290f8-66b4-4d01-9d70-c7a1cd96f5ea - 1 - The breps of the structure. - 2ceb0405-fdfe-403d-a4d6-8786da45fb9d - - - - - - -282 - 2002 - 90 - 20 - - - -235.5 - 2012 - - - - - - - - false - The create DFAssembly object representing the timber elements. - b15e7c36-4339-49c2-8d32-957a0186a926 - o_assembly - o_assembly - false - 0 - 1 - true - 0 - The create DFAssembly object representing the timber elements. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - -162 - 1982 - 66 - 40 - - - -129 - 2002 - - - - - - - - - - true - false - true - 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 - DFBuildAssembly - - - - - *.*.python - 3.* - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 0d554d4e-86ab-4542-ad80-f31d46d1390c - Panel - - false - 0 - 0 - test - - - - - - -454 - 1937 - 160 - 25 - - 0 - 0 - 0 - - -453.56238 - 1937.831 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - fe85a91d-7259-47db-a17d-0eaef3cdc7d9 - 1 - 746beaae-82e4-4054-9786-460a2eb64fd8 - Group - Brep - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructAssembly - - - - - - true - true - 2 - - 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 - - a316d259-c3e1-4fb7-94ae-cb24613e9a58 - true - false - true - DFDeconstructAssembly - DFDeconstructAssembly - 3 - - false - false - false - false - - - - - - -60 - 1993 - 146 - 28 - - - 16 - 2007 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The DFAssembly object to deconstruct. - c3bc2f02-7ea0-416c-ae1a-380b274fbf8b - i_assembly - i_assembly - true - 0 - 1 - true - b15e7c36-4339-49c2-8d32-957a0186a926 - 1 - The DFAssembly object to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - -58 - 1995 - 59 - 24 - - - -27 - 2007 - - - - - - - - false - The set of beams contained by this DFAssembly object. - 6216e744-aff9-4fb4-b94f-445563cb427f - o_beams - o_beams - false - 0 - 1 - true - 0 - The set of beams contained by this DFAssembly object. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 31 - 1995 - 53 - 24 - - - 57.5 - 2007 - - - - - - - - - - true - false - true - 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 - DFDeconstructAssembly - - - - - *.*.python - 3.* - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructBeam - - - - - - true - true - 2 - - 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 - - 730c9210-22f6-4396-bb0b-e27023203431 - true - false - true - DFDeconstructBeam - DFDeconstructBeam - 3 - - false - false - false - false - - - - - - 7 - 2104 - 168 - 64 - - - 86 - 2136 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - 1 - true - The DFBeam objects to deconstruct. - 14086b18-0054-4d9f-a577-00a88b7d970c - 2 - i_beams - i_beams - true - 1 - 1 - true - 6216e744-aff9-4fb4-b94f-445563cb427f - 1 - The DFBeam objects to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 9 - 2106 - 62 - 60 - - - 49.5 - 2136 - - - - - - - - false - The side faces of as Breps of the beam. - 99f095ea-5887-4313-a1f8-00a7c39204fa - o_side_faces - o_side_faces - false - 0 - 1 - true - 0 - The side faces of as Breps of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 101 - 2106 - 72 - 20 - - - 137 - 2116 - - - - - - - - false - The faces as Breps belonging to joints of the beam. - 294a08f6-9cd9-42de-82d2-7cf94bf586cd - o_joint_faces - o_joint_faces - false - 0 - 1 - true - 0 - The faces as Breps belonging to joints of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 101 - 2126 - 72 - 20 - - - 137 - 2136 - - - - - - - - false - An integer indicating to which joint the joint faces are belonging to. - 804025a8-725a-4f19-b1ce-956564117eaa - o_joint_ids - o_joint_ids - false - 0 - 1 - true - 0 - An integer indicating to which joint the joint faces are belonging to. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 101 - 2146 - 72 - 20 - - - 137 - 2156 - - - - - - - - - - true - false - true - 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 - DFDeconstructBeam - - - - - *.*.python - 3.* - - - - - - - - - - - 59daf374-bc21-4a5e-8282-5504fb7ae9ae - List Item - - - - - 0 - Retrieve a specific item from a list. - true - 3273c958-8c93-4345-9b81-771f1b939383 - List Item - List Item - - - - - - 331 - 1914 - 80 - 64 - - - 381 - 1946 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2e3ab970-8545-46bb-836c-1c11e5610bce - cb95db89-6165-43b6-9c41-5702bc5bf137 - 1 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - Base list - 457f34fb-0da4-444e-8d0d-73594b33bc71 - List - List - false - 6216e744-aff9-4fb4-b94f-445563cb427f - 1 - - - - - - 333 - 1916 - 33 - 20 - - - 351 - 1926 - - - - - - - - Item index - 3a144430-9966-49a4-b5e4-8391ab8c390a - Index - Index - false - 375ae8dd-197f-4447-8164-b597f82bb3bc - 1 - - - - - - 333 - 1936 - 33 - 20 - - - 351 - 1946 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Wrap index to list bounds - 179d5b07-da87-4af5-8db3-51aeb9d48ba0 - Wrap - Wrap - false - 0 - - - - - - 333 - 1956 - 33 - 20 - - - 351 - 1966 - - - - - - 1 - - - - - 1 - {0} - - - - - true - - - - - - - - - - - Item at {i'} - 6200b1f9-37f7-4096-a915-e7d5719cdb22 - false - Item - i - false - 0 - - - - - - 396 - 1916 - 13 - 60 - - - 402.5 - 1946 - - - - - - - - - - - - - - 3a710c1e-1809-4e19-8c15-82adce31cd62 - Tree Branch - - - - - Retrieve a specific branch from a data tree. - true - 442be2ee-fd8f-4a94-be59-443a298ba661 - true - Tree Branch - Tree Branch - - - - - - 400 - 2104 - 106 - 44 - - - 446 - 2126 - - - - - - 2 - Data Tree - 24b25552-543b-4677-b686-63f5f955ea75 - Tree - Tree - false - 99f095ea-5887-4313-a1f8-00a7c39204fa - 1 - - - - - - 402 - 2106 - 29 - 20 - - - 418 - 2116 - - - - - - - - Data tree branch path - cd1781ce-65c4-4677-9f87-67b07407f7f1 - Path - Path - false - 64f148f3-7757-46ba-b765-8a85466bb6a0 - 1 - - - - - - 402 - 2126 - 29 - 20 - - - 418 - 2136 - - - - - - - - 2 - Branch at {P} - 4a7f7f47-2daa-48f9-b625-49a3e03d1116 - Branch - Branch - false - 0 - - - - - - 461 - 2106 - 43 - 40 - - - 482.5 - 2126 - - - - - - - - - - - - 99bee19d-588c-41a0-b9b9-1d00fb03ea1a - Tree Statistics - - - - - Get some statistics regarding a data tree. - true - b514bf02-a866-4a27-8c58-3af0715d74de - Tree Statistics - Tree Statistics - - - - - - 42 - 2206 - 106 - 64 - - - 87 - 2238 - - - - - - 2 - Data Tree to analyze - 1399d117-b073-47ba-92ec-5865e3ef30fb - Tree - Tree - false - 99f095ea-5887-4313-a1f8-00a7c39204fa - 1 - - - - - - 44 - 2208 - 28 - 60 - - - 59.5 - 2238 - - - - - - - - 1 - All the paths of the tree - 00d30a7f-0edf-4c36-8278-66ff1eda3b6d - Paths - Paths - false - 0 - - - - - - 102 - 2208 - 44 - 20 - - - 124 - 2218 - - - - - - - - 1 - The length of each branch in the tree - 1d3553ee-740a-41ad-9a02-a2e07f7a7ca7 - Length - Length - false - 0 - - - - - - 102 - 2228 - 44 - 20 - - - 124 - 2238 - - - - - - - - Number of paths and branches in the tree - 6f7fa402-ea00-499e-8c74-54e7f767aa76 - Count - Count - false - 0 - - - - - - 102 - 2248 - 44 - 20 - - - 124 - 2258 - - - - - - - - - - - - 59daf374-bc21-4a5e-8282-5504fb7ae9ae - List Item - - - - - 0 - Retrieve a specific item from a list. - true - 949b2992-3b96-4c70-8949-3a89d92aa2ed - List Item - List Item - - - - - - 279 - 2206 - 80 - 64 - - - 329 - 2238 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2e3ab970-8545-46bb-836c-1c11e5610bce - cb95db89-6165-43b6-9c41-5702bc5bf137 - 1 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - Base list - 213b6b71-f5c2-444e-a546-3eabf94a5c53 - List - List - false - 00d30a7f-0edf-4c36-8278-66ff1eda3b6d - 1 - - - - - - 281 - 2208 - 33 - 20 - - - 299 - 2218 - - - - - - - - Item index - 1b2f7573-6bd1-4830-8e53-485b1a2ce45f - Index - Index - false - 375ae8dd-197f-4447-8164-b597f82bb3bc - 1 - - - - - - 281 - 2228 - 33 - 20 - - - 299 - 2238 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Wrap index to list bounds - 727c0073-1f9e-49d2-b717-c1515c76fae5 - Wrap - Wrap - false - 0 - - - - - - 281 - 2248 - 33 - 20 - - - 299 - 2258 - - - - - - 1 - - - - - 1 - {0} - - - - - true - - - - - - - - - - - Item at {i'} - 64f148f3-7757-46ba-b765-8a85466bb6a0 - false - Item - i - false - 0 - - - - - - 344 - 2208 - 13 - 60 - - - 350.5 - 2238 - - - - - - - - - - - - - - 3a710c1e-1809-4e19-8c15-82adce31cd62 - Tree Branch - - - - - Retrieve a specific branch from a data tree. - true - bcea2679-1e9a-45da-b082-ade26d0c62fd - true - Tree Branch - Tree Branch - - - - - - 417 - 2206 - 106 - 44 - - - 463 - 2228 - - - - - - 2 - Data Tree - 0c789268-ede3-4ea2-8e4c-87d6440961fb - Tree - Tree - false - 294a08f6-9cd9-42de-82d2-7cf94bf586cd - 1 - - - - - - 419 - 2208 - 29 - 20 - - - 435 - 2218 - - - - - - - - Data tree branch path - 78ededa3-df31-441b-9264-5606f06eaf24 - Path - Path - false - 64f148f3-7757-46ba-b765-8a85466bb6a0 - 1 - - - - - - 419 - 2228 - 29 - 20 - - - 435 - 2238 - - - - - - - - 2 - Branch at {P} - 92768f5e-0459-435b-9051-f214d8b03ad0 - Branch - Branch - false - 0 - - - - - - 478 - 2208 - 43 - 40 - - - 499.5 - 2228 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 7f4e8008-e8f2-403e-9b90-f70c54660ee2 - 1 - d8dad82a-b3c1-48a3-829e-ad099a724cd4 - Group - Populate Geometry - - - - - - - - - - c8cb6a5c-2ffd-4095-ba2a-5c35015e09e4 - Populate Geometry - - - - - Populate generic geometry with points - true - e7d25370-cf19-4ee1-873f-5a10c08533b6 - Populate Geometry - Populate Geometry - - - - - - 562 - 2120 - 152 - 84 - - - 634 - 2162 - - - - - - Geometry to populate (curves, surfaces, breps and meshes only) - 9eb4f30b-95be-45fe-854b-6ac83f53d653 - Geometry - Geometry - false - 4a7f7f47-2daa-48f9-b625-49a3e03d1116 - 92768f5e-0459-435b-9051-f214d8b03ad0 - 2 - - - - - - 564 - 2122 - 55 - 20 - - - 593 - 2132 - - - - - - - - Number of points to add - 665cd70f-1a5b-4ea4-bad4-b3e802fe020d - Count - Count - false - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - 1 - - - - - - 564 - 2142 - 55 - 20 - - - 593 - 2152 - - - - - - 1 - - - - - 1 - {0} - - - - - 100 - - - - - - - - - - - Random seed for insertion - 01c9f1f8-87fc-44d6-b80d-bc6b7eba9929 - Seed - Seed - false - 0 - - - - - - 564 - 2162 - 55 - 20 - - - 593 - 2172 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 1 - Optional pre-existing population - 0238238d-c185-4967-942d-a8ed534055c6 - Points - Points - true - 0 - - - - - - 564 - 2182 - 55 - 20 - - - 593 - 2192 - - - - - - - - 1 - Population of inserted points - 34c384bb-ad96-41aa-aa40-c0fc02e53c47 - Population - Population - false - 0 - - - - - - 649 - 2122 - 63 - 80 - - - 680.5 - 2162 - - - - - - - - - - - - 2835454d-dc77-459d-a4d4-8f66078d88ca - Point Cloud Attributes - - - - - Point Cloud Attributes - true - 29d2cdde-c97e-4392-a520-0658e9dbbecc - Point Cloud Attributes - Point Cloud Attributes - IOComponents, Version=8.9.24194.18121 - - - - - - 826 - 2035 - 143 - 124 - - - 896 - 2097 - - - - - - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - - - - - Point Cloud - 71d84e7d-f184-4437-81c9-a5ac2c2568e6 - Cloud - Cloud - true - 0 - - - - - - 828 - 2037 - 53 - 20 - - - 856 - 2047 - - - - - - - - 1 - The locations of the points in the point cloud - 7ea7b1b2-9152-42f5-8914-51ce3f62e817 - Locations - Locations - true - 532282c8-29e0-4963-a50d-3e72a13fac52 - 1 - - - - - - 828 - 2057 - 53 - 20 - - - 856 - 2067 - - - - - - - - 1 - The normal vectors for the point cloud - b0953ee6-7b0f-403e-8269-7370608fe291 - Normals - Normals - true - 0 - - - - - - 828 - 2077 - 53 - 20 - - - 856 - 2087 - - - - - - - - 1 - The colours for the point cloud - d97bed8d-810c-47e7-9908-25a8c9c50624 - Colours - Colours - true - 0 - - - - - - 828 - 2097 - 53 - 20 - - - 856 - 2107 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - d64c46df-9bb6-49b4-ae83-8b6bb68c9282 - Extra - Extra - true - 0 - - - - - - 828 - 2117 - 53 - 20 - - - 856 - 2127 - - - - - - - - 1 - The visibility flags for the point cloud. - e0cac78c-f41b-40f0-9229-8f9304329fea - Hidden - Hidden - true - 0 - - - - - - 828 - 2137 - 53 - 20 - - - 856 - 2147 - - - - - - - - Point Cloud - 8cd6a5e5-a5f3-4ab9-8a76-ee155fc5d53a - Cloud - Cloud - false - 0 - - - - - - 911 - 2037 - 56 - 20 - - - 939 - 2047 - - - - - - - - 1 - The locations of the points in the point cloud - true - f58265fb-ad88-44ec-9e18-0bd40e8f84e6 - Locations - Locations - false - 0 - - - - - - 911 - 2057 - 56 - 20 - - - 939 - 2067 - - - - - - - - 1 - The normal vectors for the point cloud - c54723b6-4b2b-4d5a-bfca-6798f7d89cc9 - Normals - Normals - false - 0 - - - - - - 911 - 2077 - 56 - 20 - - - 939 - 2087 - - - - - - - - 1 - The colours for the point cloud - 388a729e-3f52-463c-92ab-019ddd5f8419 - Colours - Colours - false - 0 - - - - - - 911 - 2097 - 56 - 20 - - - 939 - 2107 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - abf33052-3714-46e5-90ea-1a93045db5d4 - Extra - Extra - false - 0 - - - - - - 911 - 2117 - 56 - 20 - - - 939 - 2127 - - - - - - - - 1 - The visibility flags for the point cloud. - 60c95dc4-95a1-43fa-8add-cd78c7b988b8 - Hidden - Hidden - false - 0 - - - - - - 911 - 2137 - 56 - 20 - - - 939 - 2147 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 68c3400a-a145-44a7-8d63-ce8f476dce25 - 1 - e802ed21-3c6b-452f-95f0-5e55d1ffe99a - Group - script-sync cpython - - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - 26e762cb-9932-41ea-86a9-d80458e13c34 - Boolean Toggle - Boolean Toggle - false - 0 - false - - - - - - 1194 - 2004 - 146 - 22 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 6c91dd23-6c2c-4fb7-a92d-d1a47b6d71ee - 1 - 169b8674-2bf5-465d-a75e-761f1dd910d6 - Group - Text Split - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 20af7656-5e96-491b-abb7-6a5cfa3ec4fe - 1 - 9f0edc60-e645-4da5-bf03-f5cc05045851 - Group - List Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9d7d0582-192d-46c0-a61e-bcb7a1b3f075 - 1 - 387d100e-7163-4da1-929c-7cafa55153a3 - Group - Text Split - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 1655e2c5-34e9-4bc6-84c9-3ffbf04229aa - 1 - aa1b673c-cb84-4fcf-98d7-1cc464a2838a - Group - Null Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 0a20ee01-eddd-4f16-bca3-78bb78f97795 - 1 - 911ba51d-41eb-4094-976a-9f21790626e2 - Group - Deconstruct Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 1373521b-42b8-4efe-af1b-f32e8a11f5ca - 1 - ed541194-ee0a-47b6-bff5-0021195a0457 - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - d1c48f9d-1a87-4add-80bb-df846890e5ff - 1 - b681773f-e52e-45ec-bf83-1a1b98a2d537 - Group - Brep Closest Point - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - f8e72959-11b0-44e6-ac77-8855cb928f6c - 1 - ba370b75-fd99-4390-afed-f9fd922c171c - Group - Mesh - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - dcf3331a-c90f-4e8a-a2c1-81bd96e2ba99 - 1 - be1b8cc5-f081-4cc6-bcc8-7b1abc6824f1 - Group - Brep Closest Point - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - 2c7a2245-0c43-4541-a1d7-e3f47599bcdb - Move - Move - - - - - - 1173 - 1931 - 164 - 44 - - - 1261 - 1953 - - - - - - Base geometry - ae079af5-be7a-4697-91f3-06e161e3d2b3 - 1 - Geometry - Geometry - true - 8cd6a5e5-a5f3-4ab9-8a76-ee155fc5d53a - 1 - - - - - - 1175 - 1933 - 71 - 20 - - - 1220 - 1943 - - - - - - - - Translation vector - 35b59c10-efcf-4ca2-80c4-d7740755cf49 - Motion - Motion - false - a21f0834-9a15-4e91-bde3-5c0cb6417dcc - 1 - - - - - - 1175 - 1953 - 71 - 20 - - - 1220 - 1963 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - c08768c2-f016-472b-b915-844ed9e9efe8 - Geometry - Geometry - false - 0 - - - - - - 1276 - 1933 - 59 - 20 - - - 1305.5 - 1943 - - - - - - - - Transformation data - 91b63437-0e94-4b59-93e4-0bd35984c09b - Transform - Transform - false - 0 - - - - - - 1276 - 1953 - 59 - 20 - - - 1305.5 - 1963 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - faf0762c-5307-40db-a8d1-9c994a3c673a - 1 - 05212e0c-fb82-4f7a-bf5a-a0841ea58bd2 - Group - Unit Y - - - - - - - - - - 9103c240-a6a9-4223-9b42-dbd19bf38e2b - Unit Z - - - - - Unit vector parallel to the world {z} axis. - true - a09bd204-bd3e-434c-9ec0-c8efb4fb91b7 - Unit Z - Unit Z - - - - - - 1059 - 2127 - 134 - 28 - - - 1113 - 2141 - - - - - - Unit multiplication - b42b00b6-b35e-43d5-8b42-aadee1501313 - Factor - Factor - false - 55366bea-384d-4bd7-979c-411bb282be8b - 1 - - - - - - 1061 - 2129 - 37 - 24 - - - 1081 - 2141 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - World {z} vector - a21f0834-9a15-4e91-bde3-5c0cb6417dcc - Unit vector - Unit vector - false - 0 - - - - - - 1128 - 2129 - 63 - 24 - - - 1159.5 - 2141 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 55366bea-384d-4bd7-979c-411bb282be8b - Number Slider - Number Slider - false - 0 - - - - - - 973 - 2201 - 203 - 20 - - - 973.04425 - 2201.2422 - - - - - - 2 - 1 - 0 - 18 - 0 - 0 - 0.1 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 625e935c-693c-4890-9cfe-9935bd3a685c - 1 - f6bcb0d4-bded-44a0-949b-90774b52cc54 - Group - Point Cloud Attributes - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 9926ef7d-1eac-44b2-ad52-dae2f18448f7 - Panel - - false - 0 - 47b571b1-4ac9-444c-8779-44feeaf704cb - 1 - Double click to edit panel content… - - - - - - 994 - 1916 - 176 - 33 - - 0 - 0 - 0 - - 994.0615 - 1916.9493 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 5fcc7e8f-ab90-4384-9293-95547b90e7f2 - 1 - 5828df4d-7852-4378-8dca-1f9028368ba7 - Group - Mesh - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ea54cc90-830c-4bce-b831-ec3926a3d491 - 1 - ab7c8d29-c084-4e2a-a64d-45962173a5e0 - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 4261afb9-1fa1-48d1-b1e3-61d5d306d8a7 - 1 - be150bc5-97eb-4ecc-826e-4d395f6ea8de - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 66dc984c-4e16-4ac4-97fd-d3a55b08a3b7 - 1 - b2502409-aa40-4f20-b8ed-960cf90ad79b - Group - Relay - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - eb352c10-9b52-4998-83db-9c1efd04326f - 1 - b06d8135-0793-4de8-9f3b-6ff4ed961104 - Group - List Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 60f9596a-6c65-4e59-95e9-1bb22bbbb2b7 - 1 - 92dd0484-3f2e-466d-9c7b-4dfb81aece53 - Group - Mesh Explode - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 75857bfd-a847-484f-9748-85bba0bed3ae - 1 - 96fdbf3c-882e-414f-98ee-16f927183605 - Group - Face Normals - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - cc6b3320-a0d6-4949-a2a3-9bb37be4bfd7 - 1 - c6947f9e-6306-4af0-98f6-98612520358e - Group - Vector Display - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3f6c684c-c54e-4ec3-ae8c-a10c31a89086 - 1 - 1a962370-8b09-4acd-8bb1-151d1f7d0834 - Group - Amplitude - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - d9e0b204-c8da-4de4-b1d3-dc867626fada - 1 - 9a0e4731-4e8c-40fb-b0ba-38c4bbbf6033 - Group - Scale - - - - - - - - - - 8ec86459-bf01-4409-baee-174d0d2b13d0 - Data - - - - - Contains a collection of generic data - true - 1 - 47b571b1-4ac9-444c-8779-44feeaf704cb - Data - beam - false - 6200b1f9-37f7-4096-a915-e7d5719cdb22 - 1 - - - - - - 1285 - 1980 - 50 - 20 - - - 1310.0662 - 1990.9049 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 739f1b2f-cb90-4b53-8ece-21b280a878a8 - 1 - c1a2c13e-fe61-489d-94a0-3fa01e2b735f - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 78071bf1-6d07-48d7-8a5e-009c257961b7 - 1 - 49743f49-eee3-4e60-aa55-3f7dfaa38172 - Group - Brep - - - - - - - - - - 919e146f-30ae-4aae-be34-4d72f555e7da - Brep - - - - - Contains a collection of Breps (Boundary REPresentations) - true - 1 - f5533176-d75c-4cda-9dde-8efdb0792c3f - Brep - unbooleaned - false - 0 - - - - - - -412 - 1972 - 77 - 20 - - - -372.7859 - 1982.3208 - - - - - - 1 - - - - - 2 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 94fe7a6b-2b0f-4272-a175-393782538151 - 1 - 985ce8c0-0a0c-4666-aa1b-2cd222b2d2fe - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ae7806b3-a61d-4ced-8fc3-6474956c6267 - 1 - 081759ef-4780-42e8-964f-fcff4f76415b - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 42a0487a-8b79-4b25-8d9d-fe8d2652fe0c - 1 - b886dc0a-5f98-423e-883a-82531ddb8b17 - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - bd4b39f0-7f26-4d0c-8569-2328dd556e0d - 1 - 9506f2f9-e2f3-40fa-bcb2-5f83cd178c81 - Group - Scale - - - - - - - - - - 919e146f-30ae-4aae-be34-4d72f555e7da - Brep - - - - - Contains a collection of Breps (Boundary REPresentations) - true - 1 - b13290f8-66b4-4d01-9d70-c7a1cd96f5ea - Brep - Reciprocal - false - 0 - - - - - - -404 - 2003 - 63 - 20 - - - -372.21503 - 2013.5807 - - - - - - 1 - - - - - 36 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7H0HeBVF9/5NbhJCTSMQQg+9kwah5O4CoffQQaWEBAiQaOi9CIqCop8VUEFBQBARsX0UbxBQQFQEpAkCCSCgIiIlQIDfnr1zkuGwc2Efv/yfTf7zPs8Yd6fc887ZnZ0558xg87DZbPc0wF9AMU/tP73jh49ISW2VOnp0akrdSr0T08aMSE2JjanfpH5EVHiTqPrhMeER4XUrtRo3auy4tMTYlMRxY9MGj6pbqdu4IaNGJHRMnNQzdWRiSmx0dERETHhik8YJjaOjoyMbesOPBOlt12+bmDo6cWzapPot0xKf9NLuFxrv+pkig9MSho8Ynxg5dHTh1CcTU1LGpQ0Z4zV08NjBUMjX19cTJPSvYbNFaH+PTPUvVtiu/Y8f/GdMOQ+b560ZnrZh2v8Abt/ztJVkzFp9nXq59nLfNm8fWbV/xw+1G9W8+2HTbC2/ASsbYZtpUysPchX2n6j9B+5Da1tZC3xrZQLWP9G96MEA512b/9MeYZc7hE4qDa3NZfn+ICUA/uL/5+Ky8sAt130nvcPXPZL1QubAuEzlwfZy8/C6a4n/Zt+b4TkTry1Hxmv3Y7uvHDmvk6HC5xBlZWrFrjthaTK8ZvD/W93eOKWBXwMVy+D1xHa//cfSZK7uytUMFR6vN9av0HXZrHpq6btZayxJBgVEwXnNYB7VlKPrxqWWJFNlyLywgKt1VBScJ4N5lFzcubIdLUnmP69duTYrqbaKgvNkMI+SC768a6wlydj1EaqmioJ7PjB61cwhg2WuFxtawZJkxmR/81ZCxxoqkuLJpLE8Sq76696HLUkms0H4kwe3VlORFE8mg+VRcpVeiO1rSTI9Epa0at2wqoqkeDLxLI+SW/BZ1BZLktn+unfpz98LU5EUT+ZrlkfJzdq//ZglyUTuSb1YPbiyiqR4MhEsj5J7boJnhiXJxOkfwooqkuLJtGR5lFyYT+GBliRTVf92lFWRFE8mjOVRcp9Vm/GKJcm4ZsshKpJ68DsTolJyM4+88aklybhGsWAVST04NAeT70yI6rVpdbAlybhe/EA2NAcbjGaBZGgOVt9YtbWJJcm43hU/NpoFGgwAfmQ0C1QHxB/42pJkXI+XLxsA/AzeGV8yAPipk77cPciSZFwa8WTvjK/BY+ZJ3hlfdcfZcmmWJOMikaUgqQc1k6VQco6IsLoWJnNeQVIPkjmvUHLrytV5N98sm3PyGRla7+PkucfzzbL5fjJZCiWXfSl2SL5ZNiPwHaHkPro+f4UlyXgaLJvvF95XfYBcoG+qJcng6hFJ8e3hd4WSu1t15WZLksHVYw4pLh+/+JRcXIW9syxJBlePSIpvD+dilNzIChfqWZIMrh6R1IPvTIhKyfXwibtsSTK4ekRSfHu4fqHkTmYXLWRJMq6PZUUVST04AFRUKbnxgVE9LUnG9X0py2YArmUzAglScs3mL7lnSTIuS2YI+2i6ls0IfPQoue5VZh+yJBlcYSIpvj0cFCi5kc2c1SxJ5muDZTMCh2tKLmZTiZctSQZXmEiKbw8/pJRchZ2+1jTPehssm3Py2RSHkltU9T//WJLMTjZ5RFJ8ezj5pOT6lt4235JksnXHbJaCpPj2cFlAyS0dce2IJcmglxlJ8e3hgo2Sq/GZR2FLknEXoWFsAzivqPtGtbIkGSYo5s00MmhQcgn36l60JJmHaybX1ITXhd8pXiOfaoYaNLKU2hs6v2hJMu40Qy2aeL30+ad/zneaodYZvN7y/vapliTz8Hcm13CO1+PfcjTKp+9MrqkJr3ttnG7NQCB3mqH+Gbz+5y+fPflOM9Ruhtf70tskWJLMw0ezXDcgXh/akbEhn45muUZAvL72+3shliTjTjPU24zXF4Z+9kO+0wy1aOL1no7XhlmSzMO/M7lBDXit7B8Yn0+/M7nmWbwud6fibUuScacZGjuD11+teOpkvtMMtTXj9dvzw8dbkszDZwC5IVp4vendYR/l0xlAruEcrxe9WMOaXgB3mqGRgHhdc2HfuHynGeoFwOuiy0L+tCSZh8/NcgNO8bp4qRbl8+ncLNelgdf1m3hYMxLQnWZoXDNe13izUIl8pxnqn8Frry/arrIkmYfPmnPD5/E64vNSQ/LprDnX2YTXAYt6f2dJMu40Q3dp4HWzxJKH851mqOcMr0M69JxuSTIPX8/kbgbC6zO27Lv5dD2T6wbE628bbOljSTLuNEP3nOH1sIY/Tsp3mqE+TbyOq7hwnyXJuNMM3dqI18eDHnfkO81QBy1e32te/g1LknGnGbqDFq/XFlM65zvNUG8zXs+rMuOMJcmggC0NgrQRuz5NaFPtieNau5/06vlUcaXN6hrFLUnmE51MrHqr5Iizw9o5XGSyg6YOCUxRbOUmXloa/8YD7TWP/r2XJckktzvw5ZFNzVUkBfeeWRHlX/NIhnPm8k2XDk9LVyi5AWHbHrMkGZctrJmKpOBeo/rLBj61EN6jqZsy9kUrlNzrv4/ZaUkyx6bELmhfr5mKpOBeywFdf675ecl0JEPJZcZ9aM04ANdXvamKpODep9OOh3Q9XDK9W+NlbYMmHVQouc9LH7WmF6DD+lUDNy1twvYCNNXJbCn1Rqfnm5ROf6mQT/tdi/YplNyMGY+NsCQZ10w4RkVScO/jY8+syCpfOt2mbm7T4WB7hZLbX72oNQ8E2ZQREFknMIZtbND+avd+SVrf49VnQtJtg9qmzf+kh0LJPdZ7aaAlybhWj43VHFLavUYBHR+bpJFp91vTg5V+z1AouT09Dlhzolm71FSft+Y0Yrs0Gutk4kIzr7du4Z++zL95w5/PZiiU3Jcxad9YkozL4hKtIim4V3nI7UOH4jUytSvsn3X9pELJ7b+cfcqSZBa3P3e02I0otuUkWiczsdFpv4rni6ZX6tp+vbPuUYWSu3Treyvvn4lSkRTc23fxmzXr3yma/tLfz10IzcxQKLkOSYesueWkyLRu66aNiGT7Z1xk7t5c/N91xe3pL2UtuvLcuQyFkjvQto41I85dlv0IFUnBvamfjvhg7VXP9Je21e317uITCiU3p7bS3pJkJn+8aealX8JZ+HyETub2N21eSB6U7exbZtSR61tOKZTcj45G7SxJxuUNC1eRFNwrGeQTW25qtnPfhJSrP2RkKJRc/xlNx1iSzMXMqj0HdmnIdja5yKQnbD96cOBxJX2Zxx9bTmcolNxX/qPOWZIMLpeRlKfBMpmS6zvEEWRJMjngjtGj+PLLv/Zu8MpQbOqVs+Od0c6rS167no92nQfdXf1BkPPy80Mz22qaoPUGXV3RIt/sOu9y890Lvy7xVE/tLBNdWydzP7mbvUffyje7zqv9fGDZpvme6vneAc+MTjqlUHJ7vosvnm92nd89OujlBt0KqYP6T5kd+udxhZIr3OO7hflm13mdH4c8PX1kIbXhi6WOfHAmQ6Hk5oX8lpRvdp2/vuTU9Bh/f3V47K3zZbQpPyX3cWxEVL7ZdT478Z0PqoT7q/v6l/tx2LRjCiX37Jk1RfLNrvPJ2177sfbCQHVQ/IIdY94/pVBya9dmHMk3u877zw8anzkrUM3ySTg9Xxu9KLljN4pkWZJMa4Nd5y23lTg/pFOoOq/Whq5h5zMUSq5D6y1zLUkG4y6RlG43e+POG+M1MrZKzZy3kzsqlNwL2w5a8+ApDO9FUvp35pvPnEc7lVFtavKvO+s2VSi50J/rWvOdwShyJAX3/in/p7P9sDLqoDnv7I048KNCyaUtumLNvQC4WSGHlHbvj7nPtPTzLq0+eaFk8f67DyiU3FZbk02WJNPaYNd59Wez/yx8tpTmyxzVb/bd7K8ouXdjw6wZPo/nmiEpuNfO86uJAXuuKEiGkut2e4o1t9DvMDisbcvo2h91f/yKkr7kFbtP3e0KJTc8zKJhja4VZpaCpOBem+Z9E5L3nFZmXlv6Zum4lQol1+Hr6U4LkzmvIClPg2UyJVdpzl0vnsyhGXfXwD8WENyUCdicY1je49EZnkWG8I8XAOAfQvD6Fwx9jAvqwGgH+hd+L1JDhTOnnFGRkRtXf3Nd/73MbXeVX0+cePyvrOPOD9esqd1gwHXl8qVLlwZ8dE/p3atXr/dqHXFWCQt777O/ril/XbqUktzZpn6/d2+nXv0POJcsWlSm+ZxryrCkpHMrt9vUlwNKdzV6HL63PXpnvUY7639pRcFt7HBPRALva50U2XrfTfidme9u9VDXlk+PsSQ5Zk1JZ4aIdE83mtbILppe65BTI5v0ckSWAiQjlt5Wxsa+d9CS5IxMRkCq3YgdTtBU0eXXFe3v3tf97ikijdqLzfzNkuSMTEiLNQ0Vekkntzfsu+tAIql8zXuKiPR/j36y0JLkjExKQCat1lK9nQn+N/XHb050tiIiXVotcdWS5IxMTEBmaOvluqZ6NcjSSe1YfVsRkY7p1tGamjMyOQGJRbWydDIfnPBQNQ4bw37bpohIhybt7WtJckYmKBgoRvfUhS/jF2jXPwFbft+liEi32Dv6A0uSMzJJwTs1fZjrMXxmsV2Fv86vFzlFpJXBf39tSXJGJip43E61uq2T+O8y/eyNmWc2b3CKSG/a84fdkuREByXeLXlHgccuOEjX0N7s53Y5RaS31X9/nSXJtRQcnAjk4LELbeKtR+WuPLjBKSJ9fXbFDZYkh9YfJImjZaNkWPTZZvbQXCagsa67zygi0jWWjt5vSXJGJi6YWx6deUWfXl3o6KnC0O95N1MRkR6xNPAbS5IzMnnB4zb0zCV9eqXU8tA1FJ15QRGR3lWv7wVLkjMygYGGdszVyXWq/7OH/m798/rvioh08UWLt1iSXEsDkxiQajQpU9eUxxSbTuLgtn8UEelmR1dZU3N4OhGSxMfybN9MfXrV4Z5rNbAp6R9FRHrbwCk3LEkOD8VCkvgRfzbxmD6XfOzSXf1v7O+uJY4R6U432qdZkhyexZZDUrsHJLo+d8y1Ak+9p6/Ax4feUESkL739w1gLk9NsJ5xJTWQrEZFWm1fuamVy9+0bQhsK3Pgk0DXd+qO/TRXZVvqfqrDGwuSynEgS24tO26t/z7pMtsH3LPLs1/8oItJfPP57tCXJsXctPYckyztQYa/+js1toJv09k5Z8I8iIv1L795vW5IcGyXTc0hq9+B7tm7AMZ1E9hcue+XNQq52jUh3SvrEz5Lk2PeNac5XJwcaafzeMZ3EE7Ee+hyyZfJlRUR6yNJZKy1Jjs1M0nNIusht9FpwXl/afP62JyxKz63//IwiIr0kVXnTkuTYnJI9loE5j+WpU+f1j/bTdk9dQ2cbZCoi0m2rxnxvSXJsNZCOJPEj3jT7kv741atu16dZkxbrj6Mh6aM/zNtlSXJsHcfeuZAccveOXtI/3qUSXOSK//SLIiIdf/3Z7ZYkx1bg6TkktXvgC5gz6aY+A+l2zFt/t1YH/+gUkR7WrlVnS5JjthM2oFS8jxyU6fSpXf+efdD/sFNE+mzrGk9YkhyzeqUjSfwUHNAsyqgh0Jjj+5+cItIbpsS0sCQ5Zq9ko2UYvnOdbnTXLcvnTsR76RpKqP+DU0R6Qb/XrGnaY5bmdCSJ5M45runfs6Q9dp3c5PiXnCLSLW9/7rAkOeYjYJ+Cajo5wILga/ro6KMZX2GC/NMa3eJsSPrA7BVZliTHvDvpSBI/4gNCtuuj4y9f6QNImUExrsPGjUh/2+aTypYkx/xy7DtXM+c7t77hDr38vR23dHKVT7i8O0aki4zxsubEmXlU03NIMnLFuh7SSayZ4SI17ofbioi039v39lqSHEYxIEn2nTOMWhCRfnbUzk+MyOXroB26IsegHY1zUsyqW0pAQMDLNX+yqRi084PWKV81u6U8N2+eb2Jb3SZjaKs5PqJ9SoHpLNEKHyKaDvXYr3fe3CY2de2aNWuCT13VI59eSTmkj9rj/76nVA0LC2tzxzXQGRmwtry/Y36B6iwjiwF0WoW6+/W/1c/c0/MDPryqaA/auf3tDun3W4y4p79uq767JjRldjiw+WKB6SyRBUKLjQsbMvFX/Ul6Xnvi4AlbWONvPVZufofTEEP3c+lYm77urdr2itCoPfXlJ2MLTGeJLBrw2v2z5Ve9E17NtqmB2qA15tm/YewKODLytC7Xd5ttqjZmzVu+4orQvbEwrvTlgtRZhhaSNnFxcX89d1Ef2H/tr7scI5/y+E1/oo4++4f+hPmEuNz/EZ0uCB1dr9wq163AdJbI4gJPTLGMi8rECRMmfL3JQ3+C1ow8qz9xMZl/KNpbGuaR5qFqfbojddVvQpfnc7euFCkwnSWy4ECn+My4rGiv38ujTniq0Gnx/ifhibr014y/lS2bNzdb+6p+/0bw9tNC5/ePt9vHFajOMrIIwdgUOEofu2rPrOSyN4yNPKV3UtWRf+uv4wWtE6FzBk/PEIZB7H+6VI8C01kiCxOQ77PultJH65RXVnirMDk9veFb3VdW+/RteOICDqd4650Y2iXdKQqIeWfnE30LXGdRixV2FjxJC6e7TAY7Vx/I6SztrZywv51dBc47/vxRGBr1RdMDzQtMZ4ksYLCsmd3opk6+U5hd1R6kn25+vMcJY1d47C19cjr7tCcM/L7jv90mDJIbX6NnwVkbiixq0ClV+93Ux6KRwV6w3CnyWfhOp/YRfK/7oFt6+azDdn2AL5b8pTBc8u/OfU4XqM4ystBpWTOD2lzXn5SrC+zqqRMnTkzdvVZ/0tTOrkiNWV3tMHWYU/ZXpyIKnK1WetBjBaazRBY/mEc1K+cKeogd6Knq0RBl45TWWu9cDLuhr/3GVPBUE7VOir29QRhCXeytkWMKTGeJLIgwNXhF+RzGojLrm9x0WSEev6lM1l7P7U0WOYdr9WZ/mqXApLTz07eEwfRnT41qV2A6S2SR1Cbs876L/1If6KdG3lImaZ30xi1Xp6XMW+bU5qxrbr57U+/U4iHibRXffLhoRoHqLCMLJwzwn3bar7+ONS/d0OdVff/I1l/DL1/dq38A3n9Ms1dt3ry5aZG7wg02Q86frlJgOktkJtbuH42ut98JY8/Qda7O+mBHthKt3Tg2eK/++zE1b+hPWsWLd4Rbrb4/M+cE31meV3zTYINonyqsA0pxPbjIoAdL7xrUNpPrwbU1X/wKenCwh0EPguEb//6/7EmjXXe+2r3Fgt4VhcMtFvS6aLNplEAbaM8OI5tQH7YLcDHZBXipen3Df4c5XysKgcGZoCiRQh7mSKAKeZiDgSrkYY4HqhCRQ6J48fCtBU5RNHqWVxRViMiJIVKIyLkhUgh1elTJdXo8UjTvYuYMqXlm48UCqqjcGG5QlEghIgeKSCEix4pIISKHi0ghIkfMD7d8GhQ4RdGdBKgoI4WInDcihYicOiKFiJw9Znc23Hnhj9MFTlF0Pwsoyp1CjBxHIoWIHEoihbhxNJnaXzP91Zg1BU5RdFcVKEqkEJHTSqQQkTNLpBCRk8vsLq8Zk0KeKHCKonv7mKIMFSJymIkUInKkiRQicrCZ3Wv4wUe9fQqcougOUxz6jBQicta582waOfFEChE598zueG1VpnRB/Ubl7nMGRYkUInIUihQiciCKFCJyLJrdd73siQkTCpyi6G57VJSRQhYzv9ti4qQUKSSJ+eN6E+elSCEip6bZ3f8pQcVHFThF0TMfmAnJUCF4nzpIRQpJeojjlCrkYQ7VRz2DIr3sn/0KnKLoySO8oqhCRM5ZkUJETluRQkTOXJFCRE7e0JfqVilwiqLn3+D03EghIsewOy+6kcNYpBCRI9nseTy/NDtzt8Apip7CxL5RhgoROaVFChE5q0UKETmxzZ4Ktf71XakFTlH0LDBf91EChg5xNwoxdJSLFOLGgW7qbLKjb2UfLHCKoifSoa3PSCHUGb+YOeNFCqFO+r+Yk16kEJHz3uwJeRtHJfgWOEXRcxFxwWukEBoIsJgFAogUQgMEJrIAAZFCRIEDZs9pLHtva48Cpyh6Oieuo4wUIgpCEClEFJwgUogoaMHsaaFJPZLfKnCKomfEoqKMFCJy0YsUInLRixQictGbPbM2an7yACNF3bE9qKiTBw93aXvhQIDzrEtRYw4fuQGK2snyA0Q/cqdHyarFlp9xdtz+n3HJTQ86b79dzmdQ3DllnffQV7uOKa+UPD3/q/iwP5VyrxYtHzrpmHLoqT4xx8aed178Z335X4J+Uny63ghbsjvDKbr/8pxF905NO6N0We716W+7Q9KnvjY/dW6HU8qUkh+1PT15jnPx0n79isVmKl31fN/0KXr+PmVmMOSPZfkHlB/Sgjb+zzpD5Pt//6tXqmidoZStfbJBhWYHlaDfE6Iax51zxn/iUfHcrGAla0GL2ZFaZ5xu3GL5cq0zEl74ualGWlkxL/BxjbQzoVn3AI208H5g03pDJoUech66NP7brUc/dvYdl3Z298JQdcrKE3eP15zrPHb6x4PFm2YqJ/X8ZSy/iDpHzx/H8g8oq1/bet9elTOrz/WBEJta7IvvX5NliIjyW1EhHIfvVeH50FwZ+P/2f26MOx452YFnthg9XVDOzoaFZtzvwD3R64DlvbUEZ8p/M/Vc5XXNn3JgCKHRWGdn5WH4aKKltFY7Llf/IsUB90QfMjsrXwheUy21PjagQ2D/iQ64J5ql2Fl56OfGWhoQfyKu4/LJDrgnmoLaWfnCWmoEyuk2q/qxCp4OHKKM1hd2Vr6IlqK19Mef02+uHfm8A+6JFo92Vr4ocNZSutcHReuFTHTAPZFlwM7KF4NnRUurXhx1a0WxsY6iXB1q9rGz8sW1FMHpFO6JbHp2Vr6ElsL1V9B72NFXnnbAPZHB1s7K+2mpoZY2F/3z1QVBjzngnsgab2fl/bXUQEsr4upcGB0+ywH3RK4WOysfoKX6Wlq3vHtK229mO+CeyI9mZ+UDtVQP/m7OLHPFd4ID7omcpHZWPkhLdUGPIXvmPZc6xgH3RB5wOysPI1sdeE4rLWwWdnyOA+6JNt/aWflgLdXW0sALQ55MiJnhgHui2BU7Kw/vdi1Op8Fu4m/sbOwozeqcXbNh3LSVwxyl3ISC2Fn5ECbbuc8WpPb8vpwD7omiEuysfBnWB1nrJu5bF9/DEeLGQW5n5UNZX+/v6j+jSoWBjjJufLV2Vr4s0yki1I3b0M7Kl2PPzq/rV7b4LrmVo6wbD5adlS/PntHUTrvXvpr+lKOcG2eKnZWvwN6FVSdvd1/sOcRR3o1d387KV2TvXGbPk0V7lBjsqOBmY5Kdla/E3u0Sv10r6+kc4qjoZn+OnZWvDM8K12+V3Bje7Kx8GJQBeSO39PH1G+Ko7MYGZGflq7AxseHcjm8On9DcEebGHGFn5auysXfk8l5lVm5PclRxszK2s/LV2BjfaOCiyDN/DXZUdRPCbmflq7NvScqidquLvdffUc1NJLedla/Bvlkrpu39eVeZKEd1N1NXOytfk30bAzbXOeF1epqjhpu4Xjsr78m+wd/3i0s/vLK1Y67a4nGYNFyAgQ7/4RYj4DzbxgYInN97uikL5dgaIQcY3Af3S7L68P8JWjo589mdNeslO2hZ/qwM+i94wL0aLB9IDtVSakJyZJd3ox20LE5EbIJ/LAN5wSSjGycPLcsHbdM1B7SP8sLEo7uWdr/w/ttxMYMdtCzkQ7IZLDKhfWwLJiPxXDu0rA+3ZqJWBW9uPQYTlB5amj8z6frhHsMdtCzkQ7IZmJGgfW/WDkxaemqpiH9QmylvJTuMTE5odqJ2Q2jfh7UDE5leXDu0LORDsgkMxYVYOzC56a2lefvioy4OneygZSEfJ0DUMwDt+7J2YMLTh2uHloV8nBRRVxC0X5i1A5Ogvlp62v/iy/bA4Q5aFvIh2Qx8f9B+EdYOTIz6aenMtEm95hQa6qBlIR+SzcDZC+0XZe3AZKm/lj48/ebKwy+OcdCykF/ivucn17sP7Rdj7cAEagDXDi0L+X736T03nAPaL87agbHmMS0lzmjZ2rfeUw5aFvLZePRA/A60X4K1AxOtx7V0de16dfK2NActC/kB9/VzbsAWtO/H2oHJ1xNcO7Qs5Afe1z+5EXrQvj9rByZkA7V0vd/mO8Xtwxy0LOQH3ccrNyQT2g9g7cC4OEhLp9rXe2bvobEOWhbycZlLY3Ch/UDWDkzcBnPt0LKQH3xfO7lB19B+ELc4HKKl8FNTUoY1THXQspCPEz56OnBO+1qCCV6ilrZkePs9tayPg5aFfJwE0oN4of1g1g5M+pIeaCe3LOSH3N/POWfeQvulWDswERympZuHvt20pXMrBy0L+WXu13vO8bLQfmnWDkwOh2vpxmRnZP1SXR20LOSH3v8c5pzkCu2HsHZgwjiCa4eWhfyy9/HKPTQV2i/D2oFJZLKWjsdX8TiYGOmgZSEfks3gfFJoP5S1AxPLkVp6a/O6kUW2DHbQspBf/r7+yT0KFNovy9qByeYorh1aFvIh2QxO3YT2y7F2YAI6WkvvDhnU4N6d7g5aFvIr3tfPuQdcQvvlWTswKU3RUrVV/fY02hTvoGUhH5LN4CxJaL8CawcmqqlcO7Qs5Fe+T1+5xzZC+9CWHqijpSe1dMXet1BykXgHLQv5kGwGJyRC+9CWbv/U0lNcO7Qs5OOklx5GCO1XZu3AJDdNSx5vlvz8wNbeDloW8iHZDM79g/bDWDsw8R3DtUPLQn61+56f3CP2oP0qrB2YDI/V0gvTCh/r/Ht3By0L+ZBsBqfZQftVWTswTxwH74b91q3mSzo4aFnIh2QzODgO2q/G2oGJ9HjQ/YEjawcdHe2gZSEfjW/0jDZovzprBxbME7h2aNlaZCHOz62DuflzbbYotgnKQn5tQV4pbpyvSxa9tGwdg9/BvNLcd6c+W9SK2oHfqSvIC+G+gw3RUCQoW89AXswrw32XI8iilJYFeesL8kK5eUIUW3SK2mlgwBvzynLzlkZsUSlqB3g3FOSV4+ZRMWzRKGon3KD/MK88N69rSgyztGwEMfLxeRW4eSasHWPdtBNpoAfMq8jNe2EBaOQswrKghyhBXiVuHg5WkBZu2ok20CfmVebWBS211MpNO6DPRoK8MG6dEqel1m7aaWzwXGBeFW7d1EZLbd20A89FjCCvKreOa6el9m7aaWLwfGFeNW5d2UFLHd20A89XU0FedW6d20lLnd2008zgOcU8tAFA6qKlrm7amdAmOl03erCH1X+im8J4jYYMNBBQw4a7uo8KajDx4owlaDBBGbwfIgPWNSsDb2wxMvzgXzRM2PKgH3hDDeDqrlxDkI37SKPRxx2wrlkZ0MhDjT/4sPLPAxpxKGjdh/3m/vKR72zNOnsP/6KBiBqOeOMQLwMuLnnQumZlQOMSNTqhYYn3InpzC2UetK5ZGdAwZScGKzRKeREZcNHPg9Y1KwMatcYw4xS2hwYtbyIDGjB40LpmZUCDWCYzbGF7aAzzITKgMYYHrWtWBjSm9WBGMWwPDWmFiAxoWOJB65qVAQ1x25lBDdtDI5wvkQGNZDxoXbMyoBEvkhnjsD004BUmMqDBjweta1YGNADGMUMetofGvyJEBjRe8qB1zcqAxsOqzAiI7aHhsCiRAWXiQeualQENj65vXoiK7aHRsRiRAXXDg9Y1KwMaLV3PdLCK7aHBsjiRAZ9RHrSuWRnQ4Ol6ngLZ+xWcY+wsQWTAd5UHrWtWBjSWunTpx57twBxDqR+RwWgOQeualQENra5+9GXPlV+OkdWfyGD0/aZ1zcqARloXB0+mU98cA20AkeHBU4AerGtWBjTwuupnKdgeGncDiQxGcyla16wMaBzG+Si2hwaMICKDkUOR1jUrAxqW6XwMjco2Mp/0yIO5HBql6XwMDdK8oZyf2/0v53Jo0KbzMTRmlyIy2PNgLofGcOp8REN4jgOA/b7Re0HrmpUBDenUcYlG9BAig9H4QOualQGN8NTpiQb4MkQGo3GS1jUrAxrwqcMUjfehRAaj7wWta1YGNP5TZysa/ssSGYy+m7SuWRnQcUAdteg0KEdkMJo/0LpmZUCnQyvi5EWHQ3kig9E8itY1KwM6LFzvdlk21lVU0VlRgchgNJ+kdc3KgM4O1xophI0zZVV0dFQkMhjNq2ldszKgowTnQNgeOkkqERmM1he0rlkZ0MmCTmhsDx0slYkMRussWtesDOigwTkQtofOmTAig9F6k9Y1KwM6d7zJfAwdO1WIDEbrblrXrAzoGNrJ5kDYHjqFqhIZjOwPtK5ZGdCplK3bs7IUbA8dStWIDEZ2GFrXrAzokEKbGrYHcqEcvAxG9iha16wM1JmFNkaQC+eUNrcbUR6sa1YGdISx+jkBDLW4qFveRmo0n6R1zcpAnWi8sw+denw/2POgH9ABR7nUZr9fivSDZx70A3Xe8c5KdEry/WA0n6R1zcqAjj/KpQ77/dKkH+x50A/Uacg7W9GpyveDyGbN1zUrAzocKZe67PdDSD945UE/UGcl7yxGpzDfD4+y2cysDOjopFzqsd8vQ/rBOw/6gTpJeWc3OrX5fjCa29O6ZmVAByvlUp/9fijpB5886AfqnOWd9eiU5/vBaH1B65qVAR27lEsD9vtlST8UyoN+oE5hPtgAgwr4fjBa49C6ZmVAhzLl0pD9fjnSD7550A/UGc0HS2BQBN8PRussWtesDOjIplzC2e+XJ/1QOA/6AYI1mguCPTCog+8Ho7UerWtWBvC/xxpwiWC/V4H0Q5E86AcINnEYcIHxG4NS+H4wWm/SumZlgAqKAZdI9vsVST8UzYN+gMWAKgi2waAavh+M1ry0rlkZIFinhQGXKPb7lUg/FMuDfoBgn5YGXOA7hkFBfD8YrbtpXbMyQLBRKwMu0ez3K5N+KJ4H/QDBSnEGXOBbikFNfD8Yrf1pXbMyQLBUawMujdjvh5F+KJEH/QDBVm0MuMD3HIOy+H4wsj/QumZlgGCvtgZcGrPfr0L6wS8P+gGCxdoZcIE5BQaV8f1gZAOhdc3KAMFq7Q24xLDfr0r6wT8P+gGC3ToYcIF5DQbF8f1gZIehdc3KAMF2HQ24NGG/WY30Q0Ae9AME63Uy4AJzKwzq4/vByBZE65qVAYIFOxtwARlwZyXfD4F50A8QbNjFgAvM7zAoke8HWx70AwQ7djXg0owLfOf7ISgP+gE2TEJC32RLN/FyNs5Ox4PWNSsDbLaE9IneTqx6q+SIs8PaOQzj5UQy0LpmZYCNmpCS2x348sim5iq2ZxQvJ5KB1jUrA2zyhOTa0NJMxfaM4uVEMtC6ZmWADaKQjk2JXdC+XjO2SbCZYbycp0AGWtesDLC5FJLLT9xUxfaM4uVE/UDrmpUBNqZC6rB+1cBNS5swn3VTw3g5kQy0rlkZYFMrJJevOkbF9ozi5UQy0LpmZYANsZA2ZQRE1gmMYX7zGMN4OZEMtK5ZGWAzLSSXv7yxiu0ZxcuJZKB1zcoAG3Eh1S411eetOY2Y776xYbycSAZa16wMsIkXkstnH61ie0bxciIZaF2zMsAGYEiL2587WuxGFIsfiDaMlxPJQOualQE2D0NyxQ1EqdieUbycSAZa16wMsPEYUpFp3dZNGxHJYhiiDOPlRDLQumZlgE3LkFw+2ggV2zOKlxPJQOualQE2PEOa/PGmmZd+CWf+4gjDeDmRDLSuWRlgszQkV/xEuIrtGcXLiWSgdc3KAButIV3MrNpzYJeGLJYjXDWKlxPJQOualQEO44CE8zBsz2gfikgGWtesDHCQB6QccIeB0D0gNhLH9wAecS8MlQE2qyc+YtygSIZ/GzcIG92THjFuUCTDv40bhE3ywx4xblAkw7+NG4QN9sMfMW5QJMO/jRuEzfkjHjFuUCTDv40bhI39yY8YNyiS4d/GDcKhACMfMW5QJMO/jRuEAwVGPWLcoEiGfxs3CIcRjH7EuEGRDP82bhAOMoDU+hHiBkUy0LpmZYBDECDhQTCt3cQNimSgdc3KAAcoQKKH0hjFDYpkoHXNygCHL0CiB9oYxQ2KZKB1zcoABzdAoofhGMUNimSgdc3KAIc+QGr9CHGDIhloXbMywIERkHDvRGs3cYOeAhloXbMywGETkHaQfRxGcYOifqB1zcoAB1WMz5kDZSk73MQNimSgdc3KAIdcTODnYbvFcYPuZcita1aG6g3LF4ZN3+3t3L9AbWPGsC5csCC/AcSD3S/NXUNQF06E0aiLR1lCm/W4PNzAAB/luoxYA+74XAxIgw9mfTaRDud+F4118DFryCb/kSwfN095sQ9NBFugRLN8DCTxYh+BKLaIaszy8QhbLzZA68fSaqkJy8fjar3Y4BnDFqPNWD4eTevFBrambMEcy/LxGFovNug0Z4t6heXjkbNebEBwsOsWLB+Pl/ViL6vK6rRi+XiUrBd7kVqy32zN8vHYWHSIxDGZ27J8PCLWiz2AbRjn9iwfj4P1Yg9pO9ZnHVk+Hv0K+TWZU8iHOSQ8uGNeIb8Wc5Z4M0O9B3eka0lmOE9gC7/BbCE8kBkGHmeGkgHMcNSPGdL6MMNiL2Zo7cEMz925RRouGoeyF3A8G5DGsgE6jX2wnmQf8BQ2oRnFJnjJbMI7nC0AktiCyIO1veXX/tXhpZrEXqoAfKmMIl7xpaGnHKB3AEdiBL6IdCcSnr5AoznxRAS6ow8jcGmEWSHuReAjrny5F4CPQCrMPfh8RE4R7oHnI1SKcg86H7FRjHvA+QiG4tyDzXv0S3APNO/h9uMeZN7j6889wLwHNIB7cHmPYCD3wPIesiDuQeU9RiW5Bwz/38ZFPeOuQ3enU0j87zB0md/JJSM2xdx9+bQz8MChzF/aXFOKvrplfbsbR5yJX/137Y2Rd5QiX2Sv/TvLWx3S/UKXyL89VHhpcZVmjFMbaq1+tFL6O3Hl84r8YfTuosUkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCT+/8T/AQAA//8DAA== - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7H0HeBVF9/5NbgKhpkDoJYQWMLSEEkK4u/QqSgsd6Z2AdIhCaCqKfoqggAiIIhqRIooi4o1SpIkf0pHeRIWACkqovz2bOWQ4mbmwD1/+z978532e4bI7Zc87Z8vMOWcmDh+Hw3HPAPwC8voa/8S3GzQ4YUSjEcOHj0iIDIvvP2r04BEJ9WOq1q0aVbNG3ZpVa8TUiKoRGdZo7LAxY0f1r5/Qf+yYUb2HRYY9PbbPsMF9W/Wf2GHE0P4J9WvVioqKqdG/bp2+dWrVqhVd3R8uUsBsu2qz/iOG9x8zamLVhqP6j/Qzzuccl36Z3L1H9R00eFz/6H7Dc40Y2T8hYeyoPqP9+vUe0xsKBQQE+IKEQRUdjijj9/BzQXlzOY3/BMI/o0v4OHxvTvF1DDT+A7h1z9dRkDFr9P2Iq5XfD2j67uEVP2/ZU7l2xN2VsbeN/GqsbJQjyaGX6ZVeOGiC8Q+ch9Y2sRb41ooGr+7ZNs/+YPddR9B0n/CrLYtNLAytzWT5QSAlAH7x/xm4qmU6lX7eTc/wdTf8fvDLd7ud1TK3l5GHx/G9hm+7N8U3CY9tR2boG6Nj9V8vmmSo8HiMZSqUuPqOrcnwmsH/bxsb1CKoTDUdy+Bx5MCa3WxNZjynGSo8Hq+OG9xk0Zwq+tVxzlu2JIMCouC8ZjCPauqnMqXn25LMAuf3DSL8InUUnCeDeZRclUl+C21JZurOYq7Px1bWUXCezDSWR8kNeWbmdVuSGWI+KxE6kvLN9PaK0Cm5BbnvOm1Jpn3n3bV3d66oIymeTAeWR8m9v+zXV21Jpn7p8tGdd5bXkRRPxsXyKLkui94ZY0syFS88X+1cvXI6kuLJYB4l16jU0Ca2JBP06cEnRn4arqPgPBnMo+R21NjS3ZZkbo6uFnG7VBkdBefJYB4lt2thm8m2JJP+ISyto+CZhzOl75PBMnue6r7MlmTmm9+OEmwEUPoBMphHydUcH1velmTSX7dFdBQ883emyH0yWOb5QwmhtiST/oYK1VHwzK/mUPKdKaLvaPfqTVuSSX+oQ3QUPPPbLIS8mkP10N+2/G1LMunPQSB7m4UIXgCB5G0WoudM6fSJLcmk3zoB7AUQKHhmAsgLIFDfPeiQny3JBJq97cuemQDBbeZLnpkAfcLyO/Z8ZtIFvKEhqcyauaFRck+Wejq3jclcvC94ZjIX75PBMpsnL73tNdNmBJKh9a58uuyq10ybHyRzQ6PkdruHpdmSzDTBtBmBzwglV25rydm2JIOzRySVWTMBOiXXMiTEx5ZkcPaIpDLbzQKJZgL0lIXvR9iSDM4ekVTm2yyEWDQD9Q4ffPWmLcng7BFJ8e3hWIySq70tJcFrps0IHCVTcuFb8//pNdNmBM5fKLnJ3d477TXTZgTmUXJjtvp/5jXTZgQSpORSzv1lT8P5MMG0GYG3HiW3a+2yUrYkgw81kuLbw5cCJRfZNSbRlmQCBdNmBL6uKbm3Wl+qZEsy+CFEUnx7+CGl5JzzdmzxmmkzAoc4lNy+XV8O85ppMwIHn5Rc3hWnm9qSzEDBtBmB0wJKrkK9LvYczqCXGUnx7eGEjZKbF7bEnqYmTxEaYhvARW1J31JP25IMExTzkkQGDUoupdfdcFuSebhmMkxNeHywypSaXqoZatC4oc2qusSebzNPmqEWTTzusbblOK/TDLXO4LHvZ8n2tDU//JnJMJzj8cfVWpf30mcmw9SEx/9EruxkSzKeNEP9M3j8TLfFwV6nGWo3u3/ceXJfW5J5+Nssww2IxwXvPRHipW+zDCMgHre6vauXLcl40gz1NuPxqykLwrxOM9Siicc/b57YzpZkHv6dyQhqwONTvas08NLvTIZ5Fo/dfX6MtiUZT5qhsTN4/GKug297nWaorRmPD+eufd6WZB4+AsgI0cLjQqH3xnrpCCDDcI7HLQqVzmlLMp40QyMB8XhHULNYr9MM9QLg8VsFVjS3JZmHj80yAk7x+KcqL33rpWOzDJcGHr9eddBuW5LxpBka14zH0468430zTeqfwePjRxO9b6ZJw+fxOD4kdraXjpoznE14nCv46F1bkvGkGbpKA4/XvtXshtdphnrO8Dh13oqXbUnm4fOZjMVAeFxv3WuXvXQ+k+EGxON+axKW2JKMJ83QNWd4vHn67sJepxnq08TjRUmR/W1JxpNm6NJGPD7/7U3v8wJQBy0ef72pmPd5AegKWjze/vLpZK/TDPU24/Hbs3wOe12QNqLne+3OH2t22mh3/tJtqbm111/9dLotyawyydTX6x6Ja3awi8skk/Jcp/bDy7ykJUVEFuweuDpTex8P//pzW5IJXzqvUZ9dcTqSgnNtSnwzqWPPM+6laxu0CtmzTaPkBgavmmBLMm+Zb6g4HUnBudZ9P96eMBmeo3rzvtpVVqPkLte9Ys+VTXkGpmqpcfV0JAXnEl4fF7DitYIpjqR0MpTch29/udeWZJLMr3qsjqTg3Laq8ddP/lAwJezNtsWedO/SKLnIjmvtGaFxrUqzuEmr6upICs4t7jKz4PDShVOSbs+f0vSNtRol99wrriRbkklfOh+jIyk493PXRg365yuc4nC8vjXnmZJuSm5m7ZfsuSHIiWtLYnKExbD9AGJMMt/4TV48+usiBpnJ25/JF+Km5IpPi2ljSzLtzNljHR1JwbnZ+QePGGeQuVrdJ/TLU2c0Su6LzWfetSWZbRtv1JzzRm0dScG5T6tO67h7RWDKmq47ByWfPKNRclV8o6vbkkw90+JSS0dScM4948tPmq4PTInItaHbsdjTGiWXv8qV8bYks2Za2xqlnLV0JGV+e0J7vHojLXeKnnzo5ItzjmuU3LJC+SrbkkwF00pZU0dScG7zlNnXrxzMnZKya2rwfkMTlFyybxl7GjQWtkiukjwmWkdScC7y3eU3ho72TZn/wocfjztxRqPk3o6Mt+fGU+khwFE6koJzW5qubLm1im9K0jn3c8//cUSj5L5bmWbPoIYZQc7KtS/UYOHzUSaZ1JWdgjv8ftP90bnTbS6/eEqj5IpM32xP60ya6Q2roSMpODdwXmChIWVuuQ9v/7pNxaNnNEpuxT5dsyWZhEPdKnzfqbqOpOBc84nPbd1mzCz/+8ud8+tOn9Eoue4DB/9iSzI4XUZSvoJpMiUXP3ezPVc2IUYKNmtDHFvdc3pAh2NGu2siy/j/5dr3VdOuXmTQ+O/6y6e/+/aiq1WvZoYmaL0a3Ws/6zWrzuMbno6PvunQgxw/Rl02nhFKLmnRshNes+r8+cKOcy9ccOgXN6Vd/KLqaY2Si7r+ST2vWXW+JvpSie8W++sjn3jWZ02TXzRK7pnqTQd7zarz9rmWt//9mL8+qP6K6M7G8IWSW93Lkeg1q853xvddUGlkfr1XaqdX/zWeEUpudtOlPbxm1XnYzorDf5mXX69+o/0XzQ4e0yi5t8PPNPaaVedFu0xqXfDjYP2lo0e2Hjp2SqPkPsu193mvWXWeo8d63+lLg/Wvxu7tc9HQBCW3ceOEVV6z6vzEyfg1CWeL6c2/HvZaokGGkhv2/Y6jXrPq/Ldqy9uMMMg4HBdj3t6a5qLk3n+5yTGvWXW+ZPtf09/6FEKAn4gI7BPipuQWpQ0L8ppV5y/tOJ0nbnsRPWVMSHTrFzdolFzM4bG3vWaztsZB4TsbPVtIT5pVfMLZwz9plFzTgA2NbElmu2CztolfFiyxpFohQxOLfvugSoxGyZ2q8qk945rTb68AHUnBuVtR9dd0OATtpJOh5H5v0t9hSzK4wg9Jmba0lsfbN+xwVes16XbC4m5bNEruTMqGa7YkM4gtJL2/bNE4VyJ4yeAe+37RHJMGuc82Wq5Rcs+MfnKuLcngdBlJ+QqmyZTctWZXavNkDk65mwx/LCA0lgkYxzEs6fPoDM8jQ/jjBQD4Qwh+j8Ewh7igCYx2oL9wvYEDBgzou+837cfdu1sn5zwPv7vP1XPqIcHBbywZ+asWHh6+rF3Bs9o3GzdujCzg1OH3l3zntQnjx/97M+y09klycvKY3311o50LhT85oy1csGBB024nzN9vvvPVT+V4Uvhx+9Hx6J01j3ZWVv0xAhkJPG8USZqQdFirGR0dXdLhr3dMq73VluSYNSWFGSJSfD1oGn6nPZtqknrzyEkzv9NeX71+7FLdluREJqN3DE21e/KiZnCI/s+FvWZ7qzT5bZk48MVTtiQnMiGBZo5WMcmtC5iTTu7N5311Genmo6+G2pKcbCPDDi1TzWcrtuwKU0NX+vjqMtL98s++aEtyIhMTkGn4Uar5rCX8sEqDZ/CJT310Gekc0z9oYEtyIpMTPFufTXKCptb1r5TmBpJlD9zUZKQ7jL5T2ZbkRCYoIOWz1CQXPc7/pht+nb1uazLS++bvLW9LciKTFJC4XMHfJLch5x2T3Aflb2oy0q+E5nvLluQkGyMmRRb3N79rBb6/bdZr8VGaJiP9ZP39fW1JTmSyglf+5agc8F0b8FHkPZPEeyfMrV+EpKPXT9lkS3IiExaSgzKr2jpSgFyfbnc0GelWDa4esSU5kUkLbj+9v8N8cfTc87cbvmsNtzp0GemCH7beYUtyor9HAGPGtMEOuP1aV/vqb7Peq284dBnppakVF9iSnOjvE8AzNWXTHXMk8nPJq274vq0/kE5WRHpJo3NlbUlOZAKDZ2rFh3fMF8i6jia5ojXjfXQZ6Qard1y2JTnR3y8AEsOq3jC/a7XePGfefontzFmBkHShkf1q2JKcaGNGeLacPjfM+VrDxmfNkciFD9M1JyJde8MXk2xJLkiwUaP5bF26Zo4ho3MeBRLR776XPp8Tkb5Tun2iLckNFZjQQPjUu9fMGffp/L8AidZ3z/nqMtK+ZdeVtDG5B//+gcxWIiO986vQUDuTe2DdEG9DaVTsjPnbZJK/LrOt7Dv7oj3nc0xjbiSJw68Zt/412/l64g43kJpjTHVkpE//9O1qW5Jjz1oKksT53JpUk1zS2rs/mK/8ey2cuoz0/kU1u9uSHHtLpiBJNBAl+t4yn63EqYfNF0fw06YNRUj60ufJjWxJjn3fmOYC7pNzPpFObuD+o+YrP/BiuoFIRPriP76jbEmOjUxSkCROVqv2NgfKA5754Tfzrdj6go8uI32l3AWHLcmxMSW7LUNMckBmwvD00f+M1r+ZGsrf1bR+CUm/GXPqui3JsdlACpKEczCsWnvDxxyRLNavmsOsc6Hm8EtI+tCce3NtSY7N49gzV+Q+ueJ/p5Pr2v2qeft17eijy0iPKvBclC3JsRl4CpLEZ85xJ6d5+3Vef8ec2nz21F1NRrrq8nw/2ZIcs52wF0rpB8jBf5Zrt83v2Z8/p2ky0jeiCrSzJTlm9UpBkjhCyT87h/lsHQhMMw1Bh4/d1GSkG35+MdaW5Ji9kr0tw+9rLuFdk1z00rFpJolFc25pMtJ9j8c3sSU5ZmlOQZI4KzhbKN0+uWfMPya52XvSZ+Ai0sGzEn60JTnmI2CfgvI4QllX6JKfOZbsN+G6WW9drnRfgYh0oYGH69iSHPPupCBJdGHFDfzL9OLc2bbXfEvud6WPLUWkL+dau9eW5Jhfjn3nIu5/56bG/WWSOnL1v+av72lfXUY68O3qH9uSHPOopiBJ1Nys7umO/cTFJ8EvV/TDW766jPTN87EptiSHUQxIEk17oqgFGemCH7QU/tElrw/a4WfkGLRz4vjxd/+ocEpr0rhx41fb+t8P2jHOH6848BgE89Q7EGGaLYS2mmEBC97LNp0lm+F36tjxwIrb/5jP+Ilpe91G5/RY39yMfAredee6tse4w042P+iO79ix49FCTqkBa2X5nK5s01kyiwHcMaVS/9GMG2rLeyv/6zbCv8afCHbqxh225ZXL17WXXnpp++9dDkBnHdh0RG7KLPPbty2yU2cJLRDQaXd9bmpw50yuetwNj9+nhdP/CsRUnzQzli7l8im30ZmNW570kRq1p0x+/7Vs1VkiiwY8fhUib5rD3EELT0KnbIlen/4ib1ElTQOutaqfMTux0wxfqXtj1xttpmebzpJZSOCxC9twT7uamprau8Al6JR6jdf76HB8dvVdiMoc3++ZVLcRlVk57gUfqaNr/0b3J9mms2QWF3j8wvbeg3dW49hFf5jX+7OKj26834Of/uGuZmQfuPLHZfNO3Ocjd3nGb1t7Ktt0lsyCY/TJGztGm4bHdRMH/ek2bqTxP/zm0K+kpiacTnWYNrsOr/9l3nHJm+TO79J13m2ZrTpLZBGCTnk+wUdfaTxm3af9ab6z2pX30eGxO2l0mvE4JvT4yOysjS2vy8Mg4puP7pFtOktmYTKGBi891S8nDBUa+625aw4dGt69oxUw7rjFu3LoRoR5+JqP75njrJ9XZkT70ICYM3VW9st2nUUtVthZxo22++m6d8xOmTo17X5nQafejrrrbmp0ZnD1NGlo1LgRgbezTWfJLGDQKUWCc5jTG63VTfPxvDP2pjbL6MTwt/x1eCw/fuGW2+ibAWUDb0qD5CLO5i6ebTpLZlGDBRvzw9LPt//wpnlnXStyS4N32eb308Micxy6Zd5ZrZfclIZLjj514WS26SyZhQ6mMZcX+JmPW47l/8J4Krlnhzswod7ybwk/83FzHbjhhnFX9aO3pYGz87a03ZdtOktm8YOv3fWRfvpE4w7rt+4f88V/eNktDb6O+687zXFY/9R/zU65W++WNIR608W5pbJNZ8ksiDBEONHrT9Mu9U7jnfD4pTbN72u+w6Z0vWqWr3crBdZVVd5w3EeXBdOfilleMdt0lswiCV/BDTX/1Iw+2hM8YzuM2DveNuaGRh9c+DPyqvnuOtX6W/Pddn22r3RZxfTUgE3ZprNkFk6wV6W1vgRGvh7JV46aVoYlhkUUOA6p/7s5tDiiHzTzF6yQL7Bp7tLWZJvOkpmJoXNG9b9kDhXion8xf3csNR/P5D5dfjctpednHzTtXfVGypdaLZv6zwP2LN+/AkbBAtFOZVkHFOJ6cIGgBwtv79XsLNeDn0S89i30YG8fQQ+C4Rt//1/2pGjVXYCH3pWFw8l6XbbYNFmiDdki1IUWVwEO6rhJGAfl1YpCYHAmKEqmkIc5EqhCHuZgoAp5mOPhURfa3pt17ZlspygaPUsVxStkocSJIVNIvMS5IVOIzOlhNZp3drvprmyqqIwYblCUTCEyB4oHhQgdKzKFeHK4WIkpT53b+Idspyi6kgAUJVOIzHkjU4jMqSNTiMzZY3Vlg2tViZ3ZTlF0PUuA5yBmoeNIphCZQ0mmEJmjyer6mnYz1gdmO0XRVVWoKJFCZE4rmUJkziyZQmROLqurvFrevPRTtlMUXdsHipIpROYwkylE5kiTKUTmYLO61rBirudXZjtF0RWmbB4lVIjMWefBsyl04skU4sG5Z2nF66DrixpkO0XRdc6gKJlCZI5CT15VkQNRphCZY9HquuthuRvNznaKoqvtUVEihciclDKFyJyXMoWESJyaMoUslDg7R5TeNDbbKYru+YDfKJFC8LzMQUoVInOcyhQSInGoyhSyUOJoffK5yb2ynaLoziO8oqhCFkqcs54UInLayhQic+bKFCJz8jbvnuiX7RRF979By4RskYzIMSxTiMxhLFOIzJEsU4jMwXznUtihbKcougsTPlEihcic0jKFyJzVMoXInNhWd4Ua3eHs4GynKLoXGDPKChWCDvGFxCEuUwg6yicQR7lMITIHutW9yW50yT8j2ymK7kiHtj6RQmTOeJlCZE56mUJkznurO+SNi7/0VLZTFN0XEb9RIoXIAgFkCpEFCMgUIgscsLpP4ztxB9OynaLo7pwBD1kgJwpCkClEFpwgU4gsaEGmEFkwQ8+GMUWynaLoHrH4RIkUInPRyxQic9HLFCJz0csUInPRbzldObdIUXccmRV1cv+hNs1+2xfsPp+uqNGHDv8LitrK8oNlFym4L2xkz+Pn3AuXt62ZM/hXbfFn52v+WHiP1vTg4G4Dp1/8ttaLgVMSD+9z5zqecCxqWKo2s3GbL59odFF7b1/x/IEHz2r/vDC5y5jTO6Tnr+1p0fPnHn+7h7TU87e+VySlTVLeY7MSzmqJNet2Wr5+hjt8bomhS6LPaoPM/ACWv09LMvPHuMuZ+fu02P0xZ/9nnSHz/QdW2jrK6Ayt7fy4iLSgX92V/mrZfWKRPcZd+vfMiVu3uZrfvfT+RqMzwi+NGBBhdEZs94JfGKTd8xbN7GyQdk/TO/8+8vQOt+z80tatny5b6Ib2hf9TBV+utdbd4u6FXxtHFNcTh9ztv3zJDPdnH44LOWt0xkdm/nvu5mZ+Hr30MMgf415n5u/TVpaLGMp3xrmPLnSCEJtKbAwdFMEyZET5pagQjsP3qiwQwcmVgf/PnzL5gz+qd3HhLgSiuwvKOdlroR53HTgnexywvL+RYE/5gHw/3qpUq60LY6VE7zonKw+vj7pGOvti7Bmfpt1ccE72IXOy8jmNFAMy9Ur5fOGovi44JxulOFl56Oc6Rhoxa1D9KzX6uuCcbAjqZOVzGam2ka41Wla4fOg0Fw6jRfMLJyuf20i1jHR74cmpnd8f5IJzssmjk5XPA7IYqWh0n9yFnc+54JwsJt7Jyuc1UrSR2i6s031B2HQXnJMtOnCy8vmMFMXpFM7JbHpOVj6/kWoYKWVDl6k5185zwTmZwdbJygcaqbqR/rN+c0Sz8zVccE5mjXey8kFGqmakAXlTKiz4uZcLzslcLU5WPthIVY2099aPZV7qOtcF52R+NCcrH2KkKkb6fv7LPebGJbngnMxJ6mTlCxgpEri13Rb8yYrhLjgn84A7WXl4sz1hpJMHSjxZJ1cfF5yThTc4WflQI1U20sSv7tbr8UKiC87JYlecrDw825U4nYZ6iL9xsndHYVZn9cloV6mUOa5CHhYYO1n5Iky20A7Tc7f/6hVXYQ9RCU5WvijrgyVru0V/t3+0q4gHB7mTlS/G+rrinFdz9/mop6uoB1+tk5UvznQaem+61nHSYBeck7kNnax8CXbvIIp78GA5WfmS7B7t3vTApT3+c1wlPDhTnKx8KfYs/KifWFh+1Cuukh7s+k5WvjR75j5MLP7GNwNGukp5MDE7Wfkw9mxHfXh2yO6p41yluTrU2ulk5cuALFwfhHlYpuJk5cNBH/D87J757pxdmquMBxuQk5Uvy96Jf48I+Gb9iRdd4R7MEU5Wvhx798bNzNU2ccoMV1kPsftOVr48e8cf+298wZhZs1zlPEzSnKx8BfYtafl3k/pdFg9wlfcwX3Cy8hXZN6tx4av9wv/TyVXBw9DVycpHsG9jw7Y5V/dt2dUF52TDWicr78u+wcuX7Vn0nwmTXDfHvvY7DBp+gxcd/uEWEXCc7WAvCBzf+3ooC+XYHOE+MLgPzhdk9eH/fYHI1AY9J1Vu4aJl+b0y6F/wgHMVWT6Q7GekjpO2vrLz2SEuWhYHIg7JH8tAXjDIeJqTh5blg7bpnAPaR3lh4NHWSM+u6d13c/UGLloW8iE5BJNMaB/bgsFIOyMtenta0wCtlYuWzcHNmahVwZ+bj8EApb2R1tw+O+a94e1dtCzkQ3IIzEjQvj9rBwYtHbh2RCYnNgjNZDeE9nOwdmAg09FInxQJrjMzaJSLloV8NtgRGopzsnZgcBPPtUPLQj4kh8AzAO0HsHZgwNPJSLHO9gUu3xrqomUhH5JD4AqC9nOxdmAQ1NlIS1c1D/2i+GgXLQv5eR+4nzN8f9B+btYODIy6cO3QspAPySFw9kL7eVg7MFjqaqSk9XO7JH4y00XLQn7+B+6fDO8+tJ+XtQMDqG5cO7Qs5Ac+oPeMcA5oH9oyvTNG6m6kFXMSN7fa87SLloV89j7KFL8D7edn7cBAq4eRVl9/8Y32HWe4aFnID36gnzMCtqD9QNYODL56cu3QspAf8kD/ZEToQftBrB0YkD1jpDs7C3QeHjPSRctCfoEHeGWEZEL7wawdeC/2MtKGJnGvhC7t4aJlIR+nuTQGF9oPYe3AwK039PvR3ZXbTxnqomUhP/SBdjKCrqH9AtzksE+mdjLKFuImkHR3YGwf2oEBXn8jvRZ3+f12G6e5aFnIL/wgr/sb8UL7oawdGPQNyNRORlnIL/JgP9/f8xbaL8TagYHgQCMdyz0gKm5toouWhfyiD+r9/vay0H5h1g4MDgcZqfnAl4+s+qmvi5aFfDaAzLSTK7RfhLUDA8bBcE9/9kfU3tFdXLQs5Bd/gFfGpqnQflHWDgwih3Dt0LKQD8kh2J8U2i/G2oGB5VAjfd2l+40on2kuWhbySz7QPxlbgUL7xVk7MNgcxrVDy0I+G5Bm2nUT2i/B2oEB6HAjnZ771BdhQxNdtCzks0Fqpg0uof2SrB0YlCYY6Y/UsydyPzfARctCPiSHYC9JaL8UawcGqiO4dmhZyGeD2UzbNkL7pVk7MHgdaaQc5fr+O3JzNRctC/mQHIIdEqH9MNYODGifNZIzvse1dw6Pd9GykM/WX2XajBDaL8PagUHuKK4dWhbyITkE+/5B++GsHRj4jjbSkZ7l666ZNtFFy0J++Qfun4wt9qD9sqwdGAyP4dqhZSEfkkOwmx20D22ZzmYjjTXSn7tD+70+P95Fy0I+JIdg4zhovzxrBwbS44w0I+LksORGLV20LOSj8Y3u0QbtV2DtwIR5PDdepWUrkYk4P7YO5cbPldmk2CEpC/mVJXmFuPd8JJv0ytp5QnAdzCvMfXeqskmtrB24TqQkrwj3HazOJq2ydqoI5MW8otx3OYpMSmnZqmTizucV48YJNdmkU9ZONQFvzCvOjVtqs0mlrB3gXV2SV4IbR8WwSaOsnRqC/sO8kty4LpYYZmlZ0wggySvFjTNh7ljfQzvRAj1gXmlu3AsTQJGzCMuCHmpK8sK4cThYKRp4aKeWQJ+YV4abFzQ0UiMP7YA+a0vywrl5SmMjNfHQTh3BfYF5Zbl5U1MjNfPQDtwXMZK8ctw8rrmRWnhop67g/sK88ty8sqWRWnloB+6vWEleBW6e29pIT3pop57gPsU8tAFAamOkpzy082zcs+lGD3azBk3wUBiP0ZCBBgJq2PBU91FBDSa8sQQNJiiD/0NkwLpWZeCNLSLDD/6iYcKRBf3AG2oA4zlDkIP7SKPRxxOwrlUZ0MhDjT94s/L3AxpxKGjdh13z55LRizfdOH8Pf9FARA1HvHGIlwEnlzxoXasyoHFpKjE6oWGJ9yL6cxNlHrSuVRnQMDWEGZiwPTRK+REZcNLPg9a1KgMatdoz4xS2hwYtfyIDGjB40LpWZUCDWH1m2ML20BiWg8iAxhgetK5VGdCYhkYxbA8NaTmJDGhY4kHrWpUBDXHUQIdGuAAiAxrJeNC6VmVAIx417qEBLxeRAQ1+PGhdqzKgAZAaBtH4l5vIgMZLHrSuVRnQeEiNimg4zENkQJl40LpWZUDDIzVIotExL5EBdcOD1rUqAxotqTETDZb5iAx4j/Kgda3KgAZPaghFY2d+IgM+qzxoXasyoLGUGlHRUBpIZBCNIWhdqzKgoZUaYNHIGkRkEH2/aV2rMqCRNpAYb9FAG0xkyLwLUOa6VmVAAy8aarE9NO6GEBlEYyla16oMaBymRmM0YBQgMogcirSuVRnQsEzHY2hUdpDxpE8WjOXQKE3HY2iQ5g3l/NjufzmWQ4M2dSCiMbsQkUF0P9C6VmVAYzh1PqIhvDCRQfRc0LpWZUBDOnVcohG9CJFB9H6gda3KgEZ46vREA3xRIoPoPUnrWpUBDfjUYYrG+2JEBtH3gta1KgMa/+l4DA3/xYkMAVkwlkPHAR2PodOgBJEhVxaM5dDpQMdj6HAoSWTInQVjOXRY0PEYOitKERnyZMFYDp0dw8h4DB0dpYkMonE1rWtVBnSU4BgI20MnSRiRQTS/oHWtyoBOlkAyHkMHSxkig2ieRetalQEdNDgGwvbQORNOZBDNN2ldqzKgc4eOx9CxU5bIEJQFYzl0DNHxGDqFyhEZgrNgLIdOpYFkPIYOpfJEBpEdhta1KgM6pNCmhu2BXCgHL4PIHkXrWpWBOrPQxghy4ZjS4XEhSua6VmVARxirfz+AoRIXdcvbSEXjSVrXqgzUicY7+9Cpx/eDMwv6AR1wlEtldv1CpB98s6AfqPOOd1aiU5LvB9F4kta1KgM6/iiXJ9j1C5N+cGZBP1CnIe9sRacq3w8ymzVf16oM6HCkXCLZ9YuQfvDLgn6gzkreWYxOYb4fHmWxmVUZ0NFJuVRh1y9K+sE/C/qBOkl5Zzc6tfl+EI3taV2rMqCDlXKpyq5fjPRDjizoB+qc5Z316JTn+0E0v6B1rcqAjl3KpRq7fnHSDzmzoB+oU5gPNsCgAr4fRHMcWteqDOhQplyqs+uXIP0QkAX9QJ3RfLAEBkXw/SCaZ9G6VmVARzblUoNdvyTph1xZ0A8QrBEnCfbAoA6+H0RzPVrXqgzgf68v4BLFrleK9EPuLOgHCDZxCbjA+xuDUvh+EM03aV2rMkAFTcAlml2/NOmHPFnQDzAZ0CXBNhhUw/eDaM5L61qVAYJ1Ggi41GTXDyP9kDcL+gGCfRoKuMB3DIOC+H4QzbtpXasyQLBRIwGXWuz6ZUg/5MuCfoBgpcYCLvAtxaAmvh9Ec39a16oMECzVRMClNrt+OOmH/FnQDxBs1VTABb7nGJTF94PI/kDrWpUBgr2aCbjUYdcvS/ohMAv6AYLFmgu4wJgCg8r4fhDZQGhdqzJAsFoLAZcYdv1ypB+CsqAfINitpYALjGswKI7vB5Edhta1KgME27UScKnLrlme9ENwFvQDBOu1FnCBsRUG9fH9ILIF0bpWZYBgwScFXEAGXFnJ90NIFvQDBBu2EXCB8R0GJfL94MiCfoBgx6cEXOpxge98PxTIgn6ABZNPP2K8nIOz0/0vfayw2BLSKrOd+nrdI3HNDnZxCePlZDLQulZlgIWakMKXzmvUZ1ecju2J4uVkMtC6VmWARZ6Q3jL9H3E6tieKl5PJQOtalQEWiELKMzBVS42rp2N7ong5X4kMtK5VGWBxKaQk008cq2N7ong5WT/QulZlgIWpkK5VaRY3aVVdHdsTxcvJZKB1rcoAi1ohpccdxujYniheTiYDrWtVBlgQC+nEtSUxOcJiWAxkjDBeTiYDrWtVBlhMC6md6S+vo2N7ong5mQy0rlUZYCEupG0bb9Sc80ZtHdsTxcvJZKB1rcoAi3gh1TP9grV0bE8ULyeTgda1KgMsAIa0ZlrbGqWctXRsTxQvJ5OB1rUqAywehlTBjBuoqWN7ong5mQy0rlUZYOExpIUtkqskj4nWsT1RvJxMBlrXqgywaBlSul8wSsf2RPFyMhloXasywIJnSDOCnJVrX6jB/MVRwng5mQy0rlUZYLE0pDQzfqKGju2J4uVkMtC6VmWAhdaQEg51q/B9p+o6tieKl5PJQOtalQE244CE4zBsT7QORSYDrWtVBtjIAxJipIc1IA4Sx0eBda3KAIvV+z9i3KBMhscd08JC9wGPGDcok+Fx4wZhkfzAR4wblMnwuHGDsMB+0CPGDcpkeNy4QVicP/gR4wZlMjxu3CAs7B/yiHGDMhkeN24QNgUY+ohxgzIZHjduEDYUGPaIcYMyGR43bhA2Ixj+iHGDMhkeN24QNjJIeMS4QZkMjxs3CJsgjHjEuEGZDI8bNwgbKIx8xLhBmQyPGzcImy88+4hxgzIZHjduEDZuGCVYxyGKG5TJ8LhrQGDTB0jbyToOUdygTAZa16oMsGEEpPR+DNC3e4gb9PV4P2TUtSoDbDYBCTfcGeYhblDWD7SuVRlgowpIg8jmP6K4QZkMtK5VGWCTi/HcOGyQh7hBmQy0rlUZ3q8/JQEWfbdwcn+B2sGMYW24YEF+AYgPO1+YO4agLhwIo1EXt7KENqtwebiAAT7KkYxYNW77XAxIgw9mVTaQrsFdF4118DGrzgb/0SwfF0/5sQ9NFJug1GL5GEjixz4CNdkkqg7Lxy1s/dgLujab6NVl+bhdrR97ecawyWg9lo9b0/qxF1ssmzDXZ/m4Da0fe+nEsUm9xvJxy1k/9kJwseMGLB+3l/VjD6vO6jRi+biVrB97kBqyazZh+bhtLDpEGjOZm7F83CLWj92ATRnnFiwft4P1Yzdpc9ZnrVg+bv0K+RHMKZSDOSR8uG1eIb8Sc5b4M0O9D7ela0FmOO/LJn692UT4GWYY6MEMJd2Y4agLM6R1YobFjszQ2p4ZnttykzScNPZjD+A49kIaw17Qo9gHayT7gCewAc0wNsAbwga8g9gEYACbEPmwtr850bUCPFQT2UMVjA+VKOIVHxq6ywF6B/BNjMAHka5Ewt0XaDQn7ohAV/RhBC6NMMvJPQh8xFUA9wDwEUi5uBufj8jJzd3wfIRKHu5G5yM28nI3OB/BkI+7sXmPfn7uhuY93IHcjcx7fIO4G5j3gAZzNy7vEQzhbljeQ1aAu1F5j1FB7gbD/zu4qGdcdehpdwqF/x36LQ08Ofv5d3bM+ve0NrJQ98PTXnCkzCwZU21d8g3tTljCO2cqBeiFRiTPTD16Xlv81dDVTeb66/DQ4ixNjFNrK330aKVAz69+3tif34zeU7SYgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoLC/5/4PwAAAP//AwA= - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7F0JdBVF1n7Jy0ZCIA9IWIUQ9i1kBQLyutkSHJFFwRnFcWQwEQQSBAIiKhkQReUXBZTdBXTQwLBlxlFZ3kMZBNncGBiUiEFAQCABFQgkmb6duqRyU/XCO07+08mp75w2dNfy7ndvddW9t6ttm4/NZisxAH8BtX2N/9x795ix6Rn9MiZMyEjvHHlv6qTJYzPSe/eIToqOS4hNSoiO7REbF9s5sl/m+CmZk1J7p6dmTpk0anznyKGZfx4/dvSdqdOHZ4xLTe+dmBgX1yM2Nan76O6JiYnxMf7wI/XNvqNTUjMmpE6ZND2676TUiX7G9cCppT8TPGrS6DFjp6bGPzyhVsbE1PT0zEl/nuz38Kgpo6BSUFCQL0gY1s5mizP+HnkyrHYtu/GPuvCf+HU2m2/hTF9bO+MfgOslvrYGjFm/jzPyO64OSl55ZM2XOw907Na+eF3PG0b5xbWl5XG2LJu+Kan0JGyg8R8QF3rbZqvYW2PHhgeHhXztcBXbwmb7ROX/rsn0htDbHFYeBlIC4C/+uwz5WoVLpddd9ArfNrLN7G7jRp7QKvZXVobndxx5pl7JTN8sPLccmU+nFV9c/mCBSYYKj+dYx3Fw+CFLk+Etg/9em1N0+kxoRx3r4Hn+i/MWWJrMHs4yVHg83/xD0diIvHb6+J17gy1JBgVEwXnLYBm11PmNq4ssSebD8OJzfd9vo6PgPBkso+Q2/CViqyXJuJOLJ2S80EpHwXkyWEbJxWybn2xJMrvNe6WljoLzZLCMkhu4evk3liSzcljRiZdTm+soOE8Gyyi566caplqSTLZ5UzfRUXCeDJZRcg91nFRiSTIfmPdBuI6CV5wAwm+SwTpLmt/xuCXJ7DKHjkNHUr4VVnwHmQDC9ZEhny20JJn3TG0H60iq4jAL1im5xyLe2mxJMqUC+uhIqqJlfMgwC9afj950v4XJFNwUvCKZAo2SOzRuZFq1cWcQSIa2295nXWC1cWfKk/HRKbled12dWG3cGQTeI5TcxMzMYdXGnSkvvEOn5Bo/unRqtXFnELiuUHJNf5/4gCXJrBO4Mwhc8Sk5rYttkSXJoIBIiu8PCVJyaadiv7QkGRw6SIrvD4ceJXeyw7RnLElmPbupkRTfH04KlNyE3ARrpppKExk+OpKqOAG00Sk53Tcz3sJkCjQkxfeHCyklt3bCX+dbkoynjKbYNyvQ5mZnt7EkGSYolmWJHE1KLnnedWvmACq3TFkIgOdX3l2aUE0tQx1NHz3ppd2fWZKMJ8vQSBPPLz2wYGC1swz1mvH89ic+ed+SZCq/Z8oSGni+/dTVodX0nikLAfB8ovu99ZYk48kyNG+G50WHtoZVO8vQeAbP4y+fv2BJMpXPZmXpWTzfUu9y52o6m5UFZ3iembDKmvGMJ8vQpwB4PumOYeeqnWVopInnWzNs4ZYk48ky9GHTzcizS/quamcZGjbj+YEQrYclyXiyDH2miec+D6zTqp1laA4Azw8+UbTDkmQq9wDKHp3jedvAFlurqQdQltDA8x9bDu5rSTKeLEN3aOB5p+lvvVftLEOzM3h+8k/5v692D5sQPV+M+vmif65my2q4M+qOONeeHudfsDCZ7nr0vqL2tqs9SslM7DPz57BMLWvApKapY9dU6G9CeOwqS5LpVlSU3XlfN/bkrLtJZtBjkU8MKspzZaX02V3vk+0aJXdA62JN3+wjc4ZK1JEUXEsofNRVNMm4j9yJTfv/JdFFyZ176NWGliTTO7q4831vJuhIyuyvfcRbvT9p4EYylNy6c3WWWJJM6aoeryMpuBY84adLToOM+++P9Ficm6dRcn3rBey0JJn+fypeP2dKHHumGW+SWfRtWtzyGXa37fYbr835Lk+j5C6nfr7bkmRKPeFYHUnBtY8PzchtHmR36ycvLfy18LBGyQ1NW9zSkmTufLk4ZvPAGPaANtYks6Bnh30dPrzhmvhLqz8Wnj+uUXLB/5xtzVzz62b0GK0jKbgWc3bLwaeu3nC5h75y+6i8PI2Su3N8ow8tSebtWUWp25I660gKrnXu+Z/0o8aKP3TwwBeKjXuEkvOvPcaaiya6MUjKV+C+UHI5+nJfS5JB7BZs0kbMaLZr84aIE5pNz5v7H0eCq+XhTSurkaP584KcQ59sH9pr9fqU7411hiCi06q3q82upn7913QfPtiuD414eNvdJ4FMeXLNcvY0rDa7mk7MT7z/UDODTM9Gay/v+U6j5JIP13ZVm11NTdcULnjy00A9y9ZFn5h7SKPkpvb4e0i12dV0vW/IWxvvCtLz6zfq/pwxFVNyf33xxwmWJPM3wa6mmGNXipevjtAfenqd/zTjHqHkFi50PmlJMvjMBUmZMc6OVm+vMMgYP/XKn7684qTkrr3xbHtLktkl2NUUs2vVLyuTL2tIhpLb4R78rCXJ/E2wSbvzjW27Y30MMq8frvXY5B0aJbdh2Dt3WZJM6Y3vw4ZZ6a6mu5ZPyb1y1FhftFZptTZu0Ci5wiEHsyxMpoBl/Et3NVH3hZIr7vPmZJ7MMwsCdsHLm8eimICtOYa3+dw6w5PIEF4mBcCLqX6/gWGAuKIJzA7Sv/h7kf2va4+kpaWd+aOPe/++fftKRlzU4g18/9QNbdnSpY23b/NxPz937ty6oRc0o1raqn8WaVBvwW2+7v4GWuz8CeotHV1QDPJmPfKUrxv67TrjnFay/Z5M0XDYb7t1Zb1KlVVVL4fKSOB1UNKRAD83nC+4u0D7oknyL5Ykx7xcN3MQ3b4eLA3XO/Yt1hIMiyecKXEZ1wf1i7ik7bz49TBLkhO58iD0j+/YIPGdtXKUj2mhz393UTos26c3HGxJciLXHiy1bJVNBzI9Zvu4wVL9DlzUZKSL0763W5KcyNU3uORcjPLVgeSc39nAQlmbd1/SZKQdvxalWJKcyPWHe61DZ18dhL+cV+Iyzk/d3+ySJiNdOKfrXZYkJ3vBYU92qPmwqWT8D9Au65v7fXUZ6Wy/G76WJCd6fxPJwfD7eMFZs919bfx0Gek7C21+liT3oeB9TrDQGzsCTEs9OKzQbKc3K9JkpGu9t9aalhO9EGEMu5xHVwboyw0SO6dec8EwfHBh6bonIv1kxOUZliSXLXhBAu6l19r6myRGBxa5wFK7WhdqMtJ5d4/ba0lyuAcaSTLLxT8TU0quVTIjt7BQk5F+6rg228Lkyr8PKvMhZaSfWKXNtDK5cvsP0LcEj+T+06Vu1nUNIlyxz/nqVoc13S9mMTeSxNnytQ1200JvpJZOHBdDSmdLEel7Oz/SzZLk2L3GyPmYUQFMHI437aYn8pl/ISzWaaGjbmgy0vuONoqzJDk2S7qRJLvnGr8eYd5bp76e8qvZruuBIk1Gut67c+dZkhxb35jlHEhu6Sbd33Szjk68YpIYs6hEk5G+trvbNUuSY56JG0niUtDu6xBYzxp/1uCUuZ6FNvPXZaQnNTqZY0lyzKdkw7JJOXJQJzT3OyCXM3+YXZeRrtPoq39YkhyLBtxIkvWXtXJNadzWr1aRSW7tSz9rMtIfdBrymiXJsTjOjSTxntuywmbOiq9+VUru3NBfNBnpoPCfPrAkORaBu5EkktvfozRX8lSUzW3GbRmXNBnpmT8lnbAkOcx6IUnsT5TlkpEOH/XOiyJy1TrJSz0VTPLCedcUuzv32LFjs5ZfupnkBUvb19jdW7ds2RJ8pUCaB+2QtOjxGqMsmeezLjs7+2RXPx2UETnyuguU1S3phpZ/4cKFhI1+ej2Hw7Fq6A0XlD+ddl3q2PdauGRMjVGWzJMCJ8QZVZouuSfguivKwJ2rrpu32aNv+5lL3TcBN0wlzj0hD/EGddkRU2OUJfPM4LbMW+Kvg5KeyCx1as7ULdIMjlltmwbo3x079scWU6+6DhhKXj3shjTYX3E0+khNUpbQ04MRY9tR6gmOTLvqggdQG3cUa60M5Q3tE2COuGMjr5kj7uqFImnap8f5nHY1RlkyzxFGTOBjtfUCY45qtui0C5T0xR4/HSb4H0NDdUN3OzPqn3EZU5fj1Wll2U2aANzb+pGgGqcs6omisu4dMWLEfenfg7JW3VPie1NZxvzfcd35PFDWKw3/5itNBbsi84NrjLJknu3j06ZNa9nBx5yznr5hTtiNT227rF28cCH9nWwfHVbLDy4Wu2AOizx/SZM9FOiYHn6txihL5ikbyrqyr7mPOcK2bi82R9aRx3/WjIE2IvdNH1MpP7xXYo6sf715Wfp4KLf2jAs1Slkizxsm9PzbS0z/ybHE5galpSwuMEfc85Gmck+9HWo+EMxJcOVLHxT2Xbuu5rgOsvAFtmWMGlBi+k8D0m2QYB1UOKDAvD6otQ1GVk7B6dLrmzLzpY+Mj7cbrvPKurhvpj9sdKkbwRRQh9PgUoEGG+5+KOUEp8G17V/aDhoc5SPQIARk+Pf/U5Oi3QNBHrQrS1/LtC7bNCOzhmwzjbe7GYYHnv5ENNSrtaEQ+DAlqJI9LJ4CXGqQygJfapDKAmJqEFmgfOMXZ3iNMxR92sUbihpEFlzLDCILumUGkQXj3j59c38fll9DDVX2zBUMJTOILLCXGUQW8MsMIksEePsM+KOnB39R4wxFn/wHVZJpESUVZAaRJRtkBsEkRC5JQlS2E2EZSU5siPhPXI0zFN1/AobyYBBhQkNmEFmiQ2YQWQJEZhBZYiRv2Mi5Nc5QdBcUM5TQIJgfWEaSKTKDYN4gnyRZZAaRJV+83ZX19dH1a2qcoehePDb1CQ1SWSKHGqSyBA81SGWJn1vdG+gqudivxhmK7gjlDUUNIksiyQwiSy7JDCJLOskMIktG/WN8X0eNMxTdl8zcc6FBPCSwhAaRJbZkBpElvLzdJ50cGB5b4wxFd8fjGiUyiCx5JjOILKkmM4gs2ebtbv0Th4tTa5yh6DsaaCiRQWSpJZlBZKklmUE8JPq8emfk1aQ694oMVWSraKjvvj48OOXMVw7XyVJDTT585AoY6l+s3CH7kYQ6XU59GPaDa+beLdrOs3muT9oWhe3uddxly8ovsBUe3v7X7PT5h/79g+u7bzvs2z3wR22obfHAyed/dKXEftDo0Sm5WmCfqK0Doo5Kr3/ULfP4vBBffVvLaR/FFzVwx55L6/b6l8e1GR8/N+Zc2zmuerU27hiUcEIrLfdzJ5rln2u2nVCe6Yowy7/S/pC8etP/TBmynNUI/wbHDGVoq3r/9Pqhs3maPnr/sZxex40R883OH6Z+6pw/Lnj2LkMZfxns+/4hQxntC84NMUhrV5YOaTFmSq6r9eiW51Oijrpk11ccPdV614MlrtP3bOq1uXCd67Pnzo995ViEPqPtL/UnNp3jWnVgVl9n9xPaIbN8hWuvWR6grzLLM13vmuVfaX/PSinnZs5YsuJuSA2fYXnpsEb8bSMgym/tgTQyr1VZAs3O1YF/Z7fZs3Dz/hecnt71gnpwgFytuN+Ba7LbAev7Gwe803lp4JJ/jBs12wnXZHOdndWH6aOlcXQ/0jRuW/IUJ1yTLWR2Vj8QdGQcH19qN39F/rNOnIJEXoqd1YfppYVxbIyN29V71QJnINeGuqB2Vr+WcTTndICpHlF8YWf1g43jNuM4+Ov7d1yOT3XCNdlWAzurH2IczYwjZc7CjaERw51wTZYZsLP6tY2jqXFMc6wviX2toxOuydI+dlY/1DiaGMe7yY0Wz4gc54RrspyendWHsdOY00Goh7yknY3NuqxNg66fxqT/NM9Zx0OKzPwYrHGEMdkQdT1ka+ysvoPpYPSyjzI7vfGyM8xD4sDO6tdjun6m1+mhx9aOcTo8xLB2Vr8+s+mfFz914HrIHGc9D5sF7Kx+AzZ2/n1kz/C3M2c563vw7O2sfjgbo4gGHpxMO6sfwe6Fa4fi9s+JHOAM9+Dv2Fn9huyeW/GHIQ9tf2amM8LD0mtn9Ruxe3v681/s/Xn6ZCdcky3Ldlbfl80hLV7avPL06iHOac/d8SFMeh1ggOOL3yKgn2BjAxD9E18PdaEe83FuApPqcL02aw//7mUcaU0/33p41xNOWpffO0nfAIZrDVk5kLzdOIrrv9Ps8+Wak9bFidQmedkWecEkGcPJQ+vyD0upzwT9o7wwccYaxx9ecB+d+sBkJ60L5XDYBE4y9I99wWQax/VD60I5Trg0KvLn/EmYYONBpsKO67afneqkdaEcJ2EaBkP//qwfMyQ2jinfXD04feUspyhkxoclNO8B/QewfmAiTuT6oXWhvFY5PZdPdAWyfmDsdjOOJXMvNH8ueoST1oVyNr4rZDah/yDWD0zY3bl+aF0oDynHqyyVDf3XYv3AuO5hHL8eWrH6bFh/J60L5bXLyVP27AL6D2b9wMQOX9N+OLPlohcbj3TSuqHc5E8fVkH/IZxz0rNCP2V163AODH0LCvv3ZQtAb+P4v8b75gWdfNJJ60J53fK8br5wBP2Hsn5gUXBW6KesLpSHldfzzXd7oP86rB9YKGBCevncrKRzy7KctK4D3VTBazTQf13WDyweOtcPrQvl9cqPw5tvrED/YawfWFD6gJ7fu+/bpQGZTloXyuuX41X2cgj072D9wCLTl+uH1oVydNPpexjQfz3WDyw8/Yxj7LxZu85NnOSkdaEcDpvglQfovz7rBxaj/sYxLHbksuZNE520LpSz/RQV3i6A/huwfmCeHmAcGddHH17/ZIaT1oVyXMToRn7oP5z1AwtZMtcPrQvl6LzTPfPQfwTrBxyiFONY/v4b2demjHbSuo2Jo8WvbaHc+tWEOT02Sd0mxJHiy+pw92kz5tTI+mkq+B0sq8vNG82J00Lrwu80k5SFcfNYJHNKZP3cJpAXyxzcvBpFAhdatzlx6vmyetw8D75JGw/9tBDwxrL63LrT1jjaeegHeEdKyhpw62B74+jgoZ+WAv1hWTi3Lnc0jk4e+gH9RUnKIjg/obNxdPHQTyuBHbAMfSg4oo2jq4d+Lt9fJ9B0GpkxwgZ6qIzn6Aiig0UdQ09tbxXU4eSdTXQ4UQb/SmSQfRK2MtAXfajjjH/RsbNVgR54R9fGffgO5cJJFp1mT8C23sqATjJ1nnGw8uMBnWAK2ray3/zytvjXt109WYJ/0cGmjjfvXPMyoHPHg7b1VgZ0zqnTjo45n0Xy5xxVHrSttzKgY08dfnTq/YgM6HTzoG29lQGDAhosYEDgT2TAAIIHbeutDBhQiB7Gohy8DBgM8aBtvZUBgxH6PXoMRAKJDKI5grb1VgYMZOhn5DGICSIyiO5P2tZbGTAIol9/xwCoFpGh4u7kim29lQEDKPrRdgyegokMormStvVWBgy+aFCGDmYIkUGUcKFtvZUBAzc632LQZiPrhU8VzNUY9NH5FgM+PhDl5+7/5VyNASOdbzFYrENksFfBXI3BJp1vMdCsS2Twq4K5GgNVOt9ikBpGZPCvgrkag1z61W4McB1EBtE8Sdt6KwMGyPRj2xgc1yMyiNYL2tZbGTC4pskoDKzrExlE6yZt660MGJjTT1tjUN6AyCDyH2hbb2XAoJ5+kRoD+nAig8iPom29lQETAvRD0iAXysHLIPInaVtvZaDJBIwRQC5cM2weNxJUbOutDJiIoJ9sasw91eJjHNF6Qdt6KwNNYvDJFkyq8HqwV4EeMAFCuTRhv1+H6MG3CvRAkyd8sgiTQrweROsFbeutDJh4oVyast+vS/RgrwI90KQNn+zCpBavB1nMybf1VgZM+FAuzdjvhxE9+FWBHmiyiE/WYVKO18OtbBbyVgZMNFEut7HfdxA9+FeBHiBZ2FqSbMSkIq8H0dpN23orA+TH2gi4NGe/V4/oIaAK9ADJzrYCLnC/YlKU14PIf6BtvZUBkq3tBFxasN+vT/QQWAV6gGRtewEXmDMwqcvrQeTD0LbeygDJ4g4CLpHs9xsQPQRVgR4g2dxRwAXmLUxK83oQ+VG0rbcyQLK7k4BLS/ab4UQPtapAD5As7yzgAnMnJtV5PYh8OdrWWxkgWd9FwAVkwJ0hvB6Cq0APkOyPFnCB+RsfCvB6sFWBHuBhQ1cBl1bcg0NeDyFVoAfY8BFzi/lqG+dn/y9zILBZJFbwwU1RvtqzDGVtvZUBNprECb6TKcpXy2Sgbb2VATapxAs+bynKV8tkoG29lQE2uCQIvkopylfjpg8K2tZbGWBzTKLgY5KifLVMD7SttzLAxppugm9AivLVMhloW29lgE053QWfbhTlq2Uy0LbeygAbenoIvrgoylfLZKBtvZUBNgMlCT6UKMpXy2Sgbb2VATYS9RR831CUr5bJQNt6KwNsFuwl+Cyh6DmvTAba1lsZYKMhHLKvCfLPWG0kj06Bbb2VATZj9b7FvL1Mht+6ZsFGLuct5u1lMvzWvD0oTrvFvL1Mht+at4cG+i3m7WUy/Na8PWw+63OLeXuZDL81bw8b1/oKvksnytvLZKBtvZUBNr31E3xOTpS3l8lA23orA2yY6y/4Cpwob4+bPSloW29lgM12AwQfbxPl7WV6oG29lQE26iULvrkmytvLZKBtvZUBNvmlCD6VJsrbe5ahrK23MuwfE5MDm6Zq+XL/5ykbc2ajuWQ9/4DVh12vy51DUhUXOgzK8FUN6PM2rgwfEMJN14wRa8G9foQJYbghmrOFsiX3u+hsw2CNZIt7K1aOmxP82ECKYg5IG1aOiRwM6FszJ6kdK8dXgPyYAdqy8w6sHF/38WNGas/adGLl+GoPlDdiSY0AFlD7cK/xQHljFuz7s0DTh3tlpzYL/HoxxyaJOXrdmeObyAKBeBYYxXJOBjo9t7MBlsxuuP5sAurLJmSdLVBOtmD7sLanMsbmwaBIYoPCgYNC9MQEjU53uWF0Snee4UCiT6px9x19GoA74uiOD3yCQzOUgZwh+YxdEGdAPoNVizMcn9EJ5gzGZzhCOEPxEX9tzgD4bxv31Al3dXja3VeTkLN5w8inF32/ZuL1Qm3xkCm7QmP83A8u3Lvp96fOak3vvNKl5cFQ/UvH5fePLsp1Dfj22WaL+/jrMOhwFSyPT6dv+cJzKej1pM+zD/AvT3rKjikoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKFgR/wUAAP//AwA= - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 6a1ae911-ccb7-4804-8763-8ba9c64a10e6 - 1 - 5efd7ee4-b8a8-4585-b98d-e677c6b279a5 - Group - ICPRegistration - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 4448b634-4e53-47d6-af6c-5a9934dc5bfd - 1 - 923b8339-67c0-403a-9c9e-72a619284d02 - Group - ICPRegistration - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c993d633-1277-46bc-9ed9-0923b2a86113 - 1 - 090403fe-8bf9-4761-beba-83daae4515b0 - Group - RANSACGlobalRegistration - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 04e7ad87-9bd3-45f7-a2bd-b81bda19405e - 1 - 4188d8ac-811c-43a3-96d3-b8b10286c392 - Group - script-sync cpython - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - c9b32c78-79b4-4705-bb6d-17dc791d6f65 - Button - Button - false - 0 - - - - - - 1552 - 1034 - 103 - 22 - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - true - 1 - - 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 - - 0ebd4627-1b32-48db-bcb2-64c7fbfacd63 - true - false - true - script-sync cpython - Vizualization - 3 - - false - false - false - false - - - - - - 1697 - 1037 - 213 - 97 - - - 1812 - 1086 - - - - - - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - d2c7f91f-ba11-4929-8ca1-e4b7333fa079 - select_file - select_file - true - 0 - 1 - true - c9b32c78-79b4-4705-bb6d-17dc791d6f65 - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1699 - 1039 - 98 - 23 - - - 1749.5 - 1050.625 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - e958c9aa-3cbf-4489-a5a0-c311421b14cb - packages_2_reload - packages_2_reload - true - 1 - 1 - true - 66328fcd-efd9-42b7-87ec-d514a5dd32a2 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1699 - 1062 - 98 - 23 - - - 1749.5 - 1073.875 - - - - - - - - true - A generic x input. - d5e1ea08-102a-47eb-9fa6-9000248e1e9b - i_results - i_results - true - 0 - 1 - true - e3789d33-d982-49b8-80dd-af3803bcb5db - 1 - A generic x input. - 6a184b65-baa3-42d1-a548-3915b401de53 - - - - - - 1699 - 1085 - 98 - 23 - - - 1749.5 - 1097.125 - - - - - - - - true - No conversion - 26f4c266-8d22-48a0-aa78-8cbfb3aff870 - i_viz_settings - i_viz_settings - true - 0 - 1 - true - 55c39eb7-4870-48c4-abc8-e1c86abd8dd4 - 1 - - 6a184b65-baa3-42d1-a548-3915b401de53 - - - - - - 1699 - 1108 - 98 - 24 - - - 1749.5 - 1120.375 - - - - - - - - false - The redirected standard output of the component scriptsync. - f2134cfa-3b07-4f45-b5c4-a4c96f9e56fd - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1827 - 1039 - 81 - 23 - - - 1867.5 - 1050.625 - - - - - - - - false - Generic example output of the component - cf5b71e6-53c6-4d83-af38-38c1c016d7b4 - o_colored_geo - o_colored_geo - false - 0 - 1 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1827 - 1062 - 81 - 23 - - - 1867.5 - 1073.875 - - - - - - - - false - rhinoscriptsyntax geometry - e3cfe1ac-767f-48c5-b261-c1b0eff3e628 - o_legend - o_legend - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1827 - 1085 - 81 - 23 - - - 1867.5 - 1097.125 - - - - - - - - false - rhinoscriptsyntax geometry - 2d431946-443b-46bd-b267-75756a5d525f - o_histogram - o_histogram - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1827 - 1108 - 81 - 24 - - - 1867.5 - 1120.375 - - - - - - - - - - true - false - true - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
        select_file: bool,
        packages_2_reload : list,
        i_results,
        i_viz_settings
    ):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - Vizualization - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 13361bd9-589e-41cc-a48b-01db0dc4226e - 1 - f2b532cc-43a6-40a3-b6ae-c286bec49e8a - Group - Data - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 95a6d666-0341-47ad-92b8-05a2d7359f9d - Button - Button - false - 0 - - - - - - 962 - 1150 - 103 - 22 - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - 1 - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABhmlDQ1BJQ0MgcHJvZmlsZQAAKM+VkTtIw1AUhv+mSkUqDhZ84JChCoIFURFHiWIRLJS2QqsOJjd9QZOGJMXFUXAtOPhYrDq4OOvq4CoIgg8QZwcnRRcp8dyk0CJU8MDlfvz3/j/nngsItRLTrI4JQNNtMxGVxHRmVQy8wodB9EPAmMwsI5ZcTKFtfd3Tbaq7CM/C/6pHzVoM8InEc8wwbeIN4plN2+C8TxxiBVklPiceN6lB4keuKx6/cc67LPDMkJlKzBOHiMV8CystzAqmRjxNHFY1nfKFtMcq5y3OWqnCGn3yFwaz+kqS67SGEcUSYohDhIIKiijBRoR2nRQLCTqX2viHXH+cXAq5imDkWEAZGmTXD/4Hv2dr5aYmvaSgBHS+OM7HCBDYBepVx/k+dpz6CeB/Bq70pr9cA2Y/Sa82tfAR0LsNXFw3NWUPuNwBBp4M2ZRdyU9LyOWA9zP6pgzQdwt0r3lza5zj9AFI0ayWb4CDQ2A0T9nrbd7d1Tq3P++484P0A3o2cqrMnZbPAAAACXBIWXMAAAsMAAALDAE/QCLIAAAAB3RJTUUH6AEZFwkM569AfQAABNpJREFUSEu9kntMU3cYhguoOOZ1ujmFXqQtBcEpIwoTxOGQolLwUp24OFS0sEqh0oIV0CIg1FLKsbTlNooFKhRF8TajziW6zYFxcckW9bhlm9uiLk6nAyuWy7tTc0iI4w9l2Z7k++/7nveX9xzGfw+LWMhgV4hd48Y2iN1ZBvEoFiH2ZOrFXkydeJzPvsn05ghhmxIZnCq4xo1TCXe2GaPZJniyKvAqi8AEps5Eb/4LOJVfDQZ4PAswYizLgHHMckxi6vqmeJfMpjdHCNscQgUMDAaMoQJeoQLGUwGTfXR43bvkM3pz5LhxzHXuVMAoqp4x7Ap4sfZT9ejxmk8ppnlrEDE142bCxA3k2vHryKSZYnJrcPxS+vTFcGMR09w55keuAFf/Xs/612OKjxZvepdAMF2NFROT8IHv+5CEroZskeiaJC7Cgz5/MTzYRsVg/64PPJFZhqlUwHTvYrBmFGBZsAybw9ZCGr0SyhXLoVobk0Gfvhju/CJPD2GnY7SwE57CDngJL2FCzBeYsuQC/OM/Rdiq45AsWQP5ygSoEpdi94fRDyslc6SWNH9pvVwgtWb7SQ/k8CfRumHY2ithpACD45YyAA9JP3ykPQiQdSNh4zlsS1gFZaIIuZuEKEx5DwZZKKyZAWhUCdC0i5o9fIK2Pcfm7gmMlIF7zwd4b3MiMMOBhdvvQLJ6C+TrV0CVvBz5qTEoTo+CThmBAzlBaNotgK3AD80av97mUt4s2joESX/ZULlr3pD2I1Deg/nKLiQmN0O2Xoys5HjsksaiUB6Nfcp3UZ67ANX5IThYRMn38dFSxoed4J+lrTRbngio1zuHyid9NABeei+CFQ5EZ91FcsZZyBTtUGUfRGFuLXRqAuaCEtQX51GvlqCllBLr+Wg18HDIzIO9xnc5baeQ9J0YKncNU9aPOYoeLNzZhXWZV5CiOI3MHW3Iy21AsboSRIEe1ZpCNGh3okUXjhaCkhspeRUPh2u5aLNwb1isM0a7Xi98Xj49rR8CuRPvqBxYtuNXbFKcR5rqBLLz7MjPt0BbZIRRo0WdLh82fRLs+/k4ZKLk1ZT4Yy6O1FPT6IujzTMzqT/HGUv1nzp0eOnO1JAsR+rinPuZiYrOPonqLOS57chRH8TevbUo01D16IrRSOSgwxCJK6ZgXK2ZjW/rZuGa1Q+kjYfvW7i40ep7ne5oeNbIL6mTsi9gW95pKNVtUBc1QKOpwn5dGarLC3GxYiN+Mkfgds183LcEo8sahB6bP3rtfAwc5qK3nbORVv0TUdpF1jplx+OtueeRvvskVIV2FJTUQ1tqgpHQotm4EzeMi3GrKhx36+bhgXUuum2B6LEL0NfGQ/8x38u0anhWbe/Yu0H1OZm66wyZuecomVfSRBZpa0h9OUGaK4rJL43rcbN6EX6xhOF3awge2mbjcWsAnrb5oe84F49PcUJp1ctz2SCM+64qGj/URuK3A6G4Z5uLR/YgONoEcB7jwXlqZiO9+vKcIaLHfG2KJa/VLMaPlnDcts3DHy1z8NfhQDxp96Pk3O77Z9gz6PWXp7MiTnG1MhbX66Lwc8MC3GkOwYNDb6GrPQA9J/lwnPbNo1dHRqdJFPVNbYyItEaKbjWFie62vi3680iQqPu4v+jpJzzRg3PssfTq/wGD8Tedsdp6457pjwAAAABJRU5ErkJggg== - - 048417ee-0258-40df-8d71-ee65ffd0ba34 - true - false - true - script-sync cpython - Viz_Settings - 3 - - false - false - false - false - - - - - - 1119 - 1149 - 234 - 204 - - - 1260 - 1251 - - - - - - 10 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - 0b2f50a1-8d8e-456a-b3f7-b3b658bef3e9 - select_file - select_file - true - 0 - 1 - true - 95a6d666-0341-47ad-92b8-05a2d7359f9d - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1121 - 1151 - 124 - 20 - - - 1184.5 - 1161 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - abc53a66-2a74-4afe-ae90-58a409666b83 - packages_2_reload - packages_2_reload - true - 1 - 1 - true - 66328fcd-efd9-42b7-87ec-d514a5dd32a2 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1121 - 1171 - 124 - 20 - - - 1184.5 - 1181 - - - - - - - - true - rhinoscriptsyntax geometry - a4cbfb73-cdce-4f16-8034-c3957bf9d11c - i_value_type - i_value_type - true - 0 - 1 - true - c0af2351-9508-4534-88db-29ace702bda3 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1121 - 1191 - 124 - 20 - - - 1184.5 - 1201 - - - - - - - - true - Converts to collection of boolean values - 67a0e979-8775-49f7-8769-2398619efddb - i_upper_threshold - i_upper_threshold - true - 0 - 1 - true - 0 - - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1121 - 1211 - 124 - 20 - - - 1184.5 - 1221 - - - - - - - - true - rhinoscriptsyntax geometry - ad9965cb-99c3-4fd4-ad37-ef4666e6e3d1 - i_lower_threshold - i_lower_threshold - true - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1121 - 1231 - 124 - 20 - - - 1184.5 - 1241 - - - - - - - - true - rhinoscriptsyntax geometry - 7b578a96-ad34-43ff-ab17-3714ff5862ed - i_palette - i_palette - true - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1121 - 1251 - 124 - 20 - - - 1184.5 - 1261 - - - - - - - - true - rhinoscriptsyntax geometry - d4311df9-6534-4f34-aa38-e31e5789e762 - i_legend_height - i_legend_height - true - 0 - 1 - true - fbfb76cf-fb43-4e27-8607-341c511df491 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1121 - 1271 - 124 - 20 - - - 1184.5 - 1281 - - - - - - - - true - rhinoscriptsyntax geometry - 6bccf2aa-7b0f-43e6-9a2e-c34d5ea3c026 - i_legend_width - i_legend_width - true - 0 - 1 - true - c587136c-2464-4177-9b92-f6d06946d3ec - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1121 - 1291 - 124 - 20 - - - 1184.5 - 1301 - - - - - - - - true - rhinoscriptsyntax geometry - 9cd29715-4bdf-4f73-9e16-d96b68bbe018 - i_legend_plane - i_legend_plane - true - 0 - 1 - true - 5335d596-1970-4705-ad3c-1c67ee6c08f2 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1121 - 1311 - 124 - 20 - - - 1184.5 - 1321 - - - - - - - - true - rhinoscriptsyntax geometry - 4fdad788-da6f-435a-825d-3c087b0db8dc - i_histogram_scale_factor - i_histogram_scale_factor - true - 0 - 1 - true - 9a357efa-9e2e-4f55-886e-57ffe379d479 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1121 - 1331 - 124 - 20 - - - 1184.5 - 1341 - - - - - - - - false - The redirected standard output of the component scriptsync. - ab69a304-ab7c-4fe7-a575-cfbf6231136b - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1275 - 1151 - 76 - 100 - - - 1313 - 1201 - - - - - - - - false - rhinoscriptsyntax geometry - 55c39eb7-4870-48c4-abc8-e1c86abd8dd4 - o_viz_settings - o_viz_settings - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1275 - 1251 - 76 - 100 - - - 1313 - 1301 - - - - - - - - - - true - false - true - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
        select_file: bool,
        packages_2_reload : list,
        i_value_type,
        i_upper_threshold: bool,
        i_lower_threshold,
        i_palette,
        i_legend_height,
        i_legend_width,
        i_legend_plane,
        i_histogram_scale_factor
    ):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - Viz_Settings - - - - - *.*.python - 3.* - - - - - - - - - - - 00027467-0d24-4fa7-b178-8dc0ac5f42ec - Value List - - - - - Provides a list of preset values to choose from - c0af2351-9508-4534-88db-29ace702bda3 - 5 - 1 - Value List - ValueType - false - 0 - - - - - "Dist" - Dist - true - - - - - "MSE" - MSE - false - - - - - "MAX" - MAX - false - - - - - "MIN" - MIN - false - - - - - "STD" - STD - false - - - - - - 859 - 1190 - 204 - 22 - - - 977 - 1190 - - - - - - - - - - 00027467-0d24-4fa7-b178-8dc0ac5f42ec - Value List - - - - - Provides a list of preset values to choose from - 35fd08f3-5744-4c6e-be3a-cd2024d08772 - 4 - 1 - Value List - Palette - false - 0 - - - - - "Jet" - Jet - false - - - - - "Rainbow" - Rainbow - false - - - - - "RdPu" - RdPu - true - - - - - "Viridis" - Viridis - false - - - - - - 827 - 1250 - 207 - 22 - - - 911 - 1250 - - - - - - - - - - 9c53bac0-ba66-40bd-8154-ce9829b9db1a - Colour Swatch - - - - - Colour (palette) swatch - 81d6e8e8-60cc-4c9b-93a2-47101f4f74d7 - Colour Swatch - Colour Swatch - false - 0 - - 255;255;255;255 - - - - - - - 467 - 595 - 124 - 20 - - - 467 - 595.5 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - e2048237-6050-4692-b103-a07bcd1d8970 - 1 - 2cea4cf5-b5dc-4796-b08e-c1feb5419f60 - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c4129e20-102f-4fb5-9a08-fcf6dd038ec9 - 1 - 35ba8784-e8ec-4ccf-9048-0ac98f8b8afd - Group - Point Cloud - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 25f2146b-f8b2-423e-962c-60f60561b913 - 1 - 59dacdeb-84eb-4dc6-a4ad-2a26cb53e167 - Group - Geometry - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 00c7b7d8-c240-4a0d-bc1e-1ad40d530c85 - 1 - 5d2e2666-506e-4148-a442-1851b8182fbe - Group - Unit Y - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - b08723f5-fee7-43bc-83c9-c6c05baa41b2 - Point Cloud - Point Cloud - false - cf5b71e6-53c6-4d83-af38-38c1c016d7b4 - 1 - - - - - - 2077 - 968 - 50 - 24 - - - 2102.1572 - 980.58234 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b80be26e-108a-4563-840e-043861f16abc - 1 - bf9a662e-68a9-46bd-930a-94184b8ca628 - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9ae7a63b-41c1-48a3-8b84-2e747abe3612 - 1 - 176164f4-4ddf-4112-8579-bd3c43b4918b - Group - Value List - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9e718bc9-0176-42f8-975f-40e12421c958 - 1 - f21c4d1e-08fd-48ed-8a21-2d8d1f05f9d1 - Group - Point Cloud - - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - 76760db5-9656-4cc3-9ee3-14f011c46fa0 - Boolean Toggle - Boolean Toggle - false - 0 - false - - - - - - 852 - 749 - 146 - 22 - - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - 5e13487f-33a1-418b-bcd0-ce4c84f8ee78 - Boolean Toggle - Boolean Toggle - false - 0 - true - - - - - - 1195 - 2038 - 146 - 22 - - - - - - - - - - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 - Geometry - - - - - Contains a collection of generic geometry - 0391cb38-e6b7-4be2-975e-766d8bf2edc1 - Geometry - Geometry - false - e3cfe1ac-767f-48c5-b261-c1b0eff3e628 - 1 - - - - - - 2083 - 1029 - 50 - 24 - - - 2108.9297 - 1041.0991 - - - - - - - - - - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 - Geometry - - - - - Contains a collection of generic geometry - 7fead29d-5e81-4009-bebd-44f058bce6d8 - Geometry - Geometry - false - 2d431946-443b-46bd-b267-75756a5d525f - 1 - - - - - - 2082 - 1080 - 50 - 24 - - - 2107.3696 - 1092.2815 - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - true - 1 - - 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 - - 73845afd-fc37-4614-b53e-71ef2116dff8 - true - false - true - script-sync cpython - Vizualization - 3 - - false - false - false - false - - - - - - 1824 - 1615 - 213 - 97 - - - 1939 - 1664 - - - - - - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - b96e89d7-9c89-4117-8ae1-390d35ebf0bf - select_file - select_file - true - 0 - 1 - true - 344e6f7a-7039-4f82-8fef-75f0d0fd1f0c - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1826 - 1617 - 98 - 23 - - - 1876.5 - 1628.625 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3e5ae1d0-7bd7-4f70-a12a-988ec35e6841 - packages_2_reload - packages_2_reload - true - 1 - 1 - true - 66328fcd-efd9-42b7-87ec-d514a5dd32a2 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1826 - 1640 - 98 - 23 - - - 1876.5 - 1651.875 - - - - - - - - true - A generic x input. - 07183687-d5e4-400b-b67a-b6dfb6f1eb66 - i_results - i_results - true - 0 - 1 - true - e685d78a-4860-4934-8604-029ab89537c0 - 1 - A generic x input. - 6a184b65-baa3-42d1-a548-3915b401de53 - - - - - - 1826 - 1663 - 98 - 23 - - - 1876.5 - 1675.125 - - - - - - - - true - No conversion - 6cf466d0-5284-4fd4-8a31-a0d15e6c00ee - i_viz_settings - i_viz_settings - true - 0 - 1 - true - 55c39eb7-4870-48c4-abc8-e1c86abd8dd4 - 1 - - 6a184b65-baa3-42d1-a548-3915b401de53 - - - - - - 1826 - 1686 - 98 - 24 - - - 1876.5 - 1698.375 - - - - - - - - false - The redirected standard output of the component scriptsync. - 5fd63cc9-e8ed-4cdb-9811-7c221d3c8b7d - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1954 - 1617 - 81 - 23 - - - 1994.5 - 1628.625 - - - - - - - - false - Generic example output of the component - fff044e0-420c-4e0b-8c62-13a929052b55 - o_colored_geo - o_colored_geo - false - 0 - 1 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1954 - 1640 - 81 - 23 - - - 1994.5 - 1651.875 - - - - - - - - false - rhinoscriptsyntax geometry - 2d39b581-e121-4ae3-9560-c4d0531a5252 - o_legend - o_legend - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1954 - 1663 - 81 - 23 - - - 1994.5 - 1675.125 - - - - - - - - false - rhinoscriptsyntax geometry - 12923aea-e501-4e44-8534-13b813914b9d - o_histogram - o_histogram - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1954 - 1686 - 81 - 24 - - - 1994.5 - 1698.375 - - - - - - - - - - true - false - true - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
        select_file: bool,
        packages_2_reload : list,
        i_results,
        i_viz_settings
    ):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - Vizualization - - - - - *.*.python - 3.* - - - - - - - - - - - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 - Geometry - - - - - Contains a collection of generic geometry - true - 0af217a2-5010-449d-b8b9-044744f7b9e1 - Geometry - Geometry - false - 2d39b581-e121-4ae3-9560-c4d0531a5252 - 1 - - - - - - 2129 - 1741 - 50 - 24 - - - 2154.0747 - 1753.1069 - - - - - - - - - - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 - Geometry - - - - - Contains a collection of generic geometry - true - fcb033b0-9bbc-43c7-b8ad-05241fc3c3cb - Geometry - Geometry - false - 12923aea-e501-4e44-8534-13b813914b9d - 1 - - - - - - 2127 - 1792 - 50 - 24 - - - 2152.5146 - 1804.2894 - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 344e6f7a-7039-4f82-8fef-75f0d0fd1f0c - Button - Button - false - 0 - - - - - - 1636 - 1608 - 103 - 22 - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - true - e5b40b61-e3bc-40a9-b7ec-c41a2666cc99 - Point Cloud - Point Cloud - false - fff044e0-420c-4e0b-8c62-13a929052b55 - 1 - - - - - - 2125 - 1630 - 50 - 24 - - - 2150.2754 - 1642.7996 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 31645fc8-6f30-4ebe-8fab-6e7305eff6b8 - Panel - - false - 0 - 46c905ce-3f0f-4951-84e0-ab191ae246bd - 1 - Double click to edit panel content… - - - - - - 1376 - 581 - 112 - 74 - - 0 - 0 - 0 - - 1376.2988 - 581.18317 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 0e37911c-6b65-4fce-a414-509a0f70af07 - Panel - - false - 0 - 41b4a7e9-fe5b-4e40-af3a-94cbc6e4b00a - 1 - Double click to edit panel content… - - - - - - 1366 - 708 - 112 - 53 - - 0 - 0 - 0 - - 1366.7092 - 708.8944 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 79f9fbb3-8f1d-4d9a-88a9-f7961b1012cd - Unit X - - - - - Unit vector parallel to the world {x} axis. - 5e605346-0580-4d7b-b7aa-ab130018ebe7 - Unit X - Unit X - - - - - - 2115 - 1840 - 134 - 28 - - - 2169 - 1854 - - - - - - Unit multiplication - e64f4f5f-7139-4b63-ad7a-78f02fa5ffc2 - Factor - Factor - false - d2543f52-4e8b-481c-9d86-c4f112168a08 - 1 - - - - - - 2117 - 1842 - 37 - 24 - - - 2137 - 1854 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - World {x} vector - 2b685ce4-3f3b-4702-b2a2-0e2c0c329083 - Unit vector - Unit vector - false - 0 - - - - - - 2184 - 1842 - 63 - 24 - - - 2215.5 - 1854 - - - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - 56857fbd-bdda-4a3f-b093-a897efe4adc8 - Move - Move - - - - - - 2309 - 1791 - 148 - 44 - - - 2381 - 1813 - - - - - - Base geometry - 010cc014-4e9b-4747-a188-cdfd252703ef - Geometry - Geometry - true - fcb033b0-9bbc-43c7-b8ad-05241fc3c3cb - 0af217a2-5010-449d-b8b9-044744f7b9e1 - 2 - - - - - - 2311 - 1793 - 55 - 20 - - - 2340 - 1803 - - - - - - - - Translation vector - 271619c9-5ad1-47ab-aebc-a5308672b555 - Motion - Motion - false - 2b685ce4-3f3b-4702-b2a2-0e2c0c329083 - 1 - - - - - - 2311 - 1813 - 55 - 20 - - - 2340 - 1823 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - 3884b1bc-7621-4832-8b5a-22b36251cac9 - Geometry - Geometry - false - 0 - - - - - - 2396 - 1793 - 59 - 20 - - - 2425.5 - 1803 - - - - - - - - Transformation data - b95254cc-f7b4-4f94-9fa4-0e7611e4d1c0 - Transform - Transform - false - 0 - - - - - - 2396 - 1813 - 59 - 20 - - - 2425.5 - 1823 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - d2543f52-4e8b-481c-9d86-c4f112168a08 - Number Slider - Number Slider - false - 0 - - - - - - 1879 - 1845 - 203 - 20 - - - 1879.224 - 1845.443 - - - - - - 3 - 1 - 1 - 100 - 0 - 0 - 8 - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - f1aff57a-9af9-4ef3-975e-c7ff0485009e - Move - Move - - - - - - 2670 - 1680 - 148 - 44 - - - 2742 - 1702 - - - - - - Base geometry - fe679ff4-59d3-4eaa-9934-b97873776f29 - Geometry - Geometry - true - fff044e0-420c-4e0b-8c62-13a929052b55 - 1 - - - - - - 2672 - 1682 - 55 - 20 - - - 2701 - 1692 - - - - - - - - Translation vector - cf5e8f50-4069-4316-aad9-20dec632483d - Motion - Motion - false - e0a4f7bc-cdb7-4e79-89c3-61f67b56ff22 - 1 - - - - - - 2672 - 1702 - 55 - 20 - - - 2701 - 1712 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - f2491824-94a0-4f7a-9271-b6152e6d4f3a - Geometry - Geometry - false - 0 - - - - - - 2757 - 1682 - 59 - 20 - - - 2786.5 - 1692 - - - - - - - - Transformation data - 92c85f44-e164-4c95-865f-5617bb88dcec - Transform - Transform - false - 0 - - - - - - 2757 - 1702 - 59 - 20 - - - 2786.5 - 1712 - - - - - - - - - - - - 79f9fbb3-8f1d-4d9a-88a9-f7961b1012cd - Unit X - - - - - Unit vector parallel to the world {x} axis. - f1a9c653-0c42-4172-af4f-8db06b57e3e0 - Unit X - Unit X - - - - - - 2499 - 1698 - 134 - 28 - - - 2553 - 1712 - - - - - - Unit multiplication - 7d12ab24-f9e6-4d93-bae6-ffb0226938b5 - Factor - Factor - false - 75ee450c-22f7-4f76-a984-7adffcd1a3f4 - 1 - - - - - - 2501 - 1700 - 37 - 24 - - - 2521 - 1712 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - World {x} vector - e0a4f7bc-cdb7-4e79-89c3-61f67b56ff22 - Unit vector - Unit vector - false - 0 - - - - - - 2568 - 1700 - 63 - 24 - - - 2599.5 - 1712 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 75ee450c-22f7-4f76-a984-7adffcd1a3f4 - Number Slider - Number Slider - false - 0 - - - - - - 2255 - 1702 - 203 - 20 - - - 2255.5176 - 1702.9641 - - - - - - 3 - 1 - 1 - 10 - 0 - 0 - 9 - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - a63ea732-d788-4376-b1f5-7a9fab002a70 - Panel - - false - 0 - 35fd08f3-5744-4c6e-be3a-cd2024d08772 - 1 - Double click to edit panel content… - - - - - - 689 - 1290 - 160 - 100 - - 0 - 0 - 0 - - 689.0011 - 1290.0293 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 375ae8dd-197f-4447-8164-b597f82bb3bc - Panel - - false - 0 - 0 - 0 -1 - - - - - - 192 - 1857 - 50 - 73 - - 0 - 0 - 0 - - 192.88399 - 1857.4944 - - - - - - - 255;255;250;90 - - true - true - false - false - false - true - - - - - - - - - 1177d6ee-3993-4226-9558-52b7fd63e1e3 - Trim Tree - - - - - Reduce the complexity of a tree by merging the outermost branches. - true - ac524d1d-6f48-40c1-8c22-aca7bc835f1f - Trim Tree - Trim Tree - - - - - - 680 - 2013 - 102 - 44 - - - 734 - 2035 - - - - - - 2 - Data tree to flatten - 092b15d6-28a8-46b2-9269-035c72f4ae9c - Tree - Tree - false - 34c384bb-ad96-41aa-aa40-c0fc02e53c47 - 1 - - - - - - 682 - 2015 - 37 - 20 - - - 702 - 2025 - - - - - - - - Number of outermost branches to merge - 14d0389b-9988-44da-9c94-74de72e93379 - Depth - Depth - false - 0 - - - - - - 682 - 2035 - 37 - 20 - - - 702 - 2045 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 2 - Trimmed data tree - 532282c8-29e0-4963-a50d-3e72a13fac52 - Tree - Tree - false - 0 - - - - - - 749 - 2015 - 31 - 40 - - - 764.5 - 2035 - - - - - - - - - - - - f80cfe18-9510-4b89-8301-8e58faf423bb - Flatten Tree - - - - - Flatten a data tree by removing all branching information. - true - f946b491-6acd-4766-a589-125fa9d33774 - Flatten Tree - Flatten Tree - - - - - - 429 - 862 - 94 - 44 - - - 475 - 884 - - - - - - 2 - Data tree to flatten - 9de8626b-a8e8-4cf0-8229-e879cb193e71 - Tree - Tree - false - 7079096c-52b5-4da9-8fbe-4d3bacdd8f3b - 1 - - - - - - 431 - 864 - 29 - 20 - - - 447 - 874 - - - - - - - - Path of flattened tree - 663e2eb4-f382-4f2e-93e9-c096f97f7229 - Path - Path - false - 0 - - - - - - 431 - 884 - 29 - 20 - - - 447 - 894 - - - - - - 1 - - - - - 1 - {0} - - - - - {0} - - - - - - - - - - - 2 - Flattened data tree - e4c45281-d336-43da-8de9-7518738c33cf - Tree - Tree - false - 0 - - - - - - 490 - 864 - 31 - 40 - - - 505.5 - 884 - - - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - f99751e9-0acc-4562-9185-654605fa1a95 - Move - Move - - - - - - 638 - 695 - 148 - 44 - - - 710 - 717 - - - - - - Base geometry - 509a2a68-6b3d-463a-af16-b413f7a0a7bf - Geometry - Geometry - true - 42d4ac43-8b35-4dc4-aafa-25e746391f6a - 1 - - - - - - 640 - 697 - 55 - 20 - - - 669 - 707 - - - - - - - - Translation vector - 5e4b56f8-e57b-41ac-a7f7-64a277b8d542 - Motion - Motion - false - 0 - - - - - - 640 - 717 - 55 - 20 - - - 669 - 727 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - 6527813d-473b-4a75-be13-db5b5ed846cd - Geometry - Geometry - false - 0 - - - - - - 725 - 697 - 59 - 20 - - - 754.5 - 707 - - - - - - - - Transformation data - ac6cbb74-fb06-42c6-99e5-7ab1b68ac1d5 - Transform - Transform - false - 0 - - - - - - 725 - 717 - 59 - 20 - - - 754.5 - 727 - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 60f66fde-440a-4eeb-a393-dc36b44839d2 - Panel - - false - 0 - 5fd63cc9-e8ed-4cdb-9811-7c221d3c8b7d - 1 - Double click to edit panel content… - - - - - - 2036 - 1422 - 318 - 165 - - 0 - 0 - 0 - - 2036.9825 - 1422.3525 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - 1 - - 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 - - c427c6a6-48a7-4db9-8585-dc02476ce342 - true - false - true - script-sync cpython - Cvs_Export - 3 - - false - false - false - false - - - - - - 1719 - 730 - 173 - 104 - - - 1834 - 782 - - - - - - 5 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - 5afbaea6-49e7-4d42-8847-9e6186756f3a - select_file - select_file - true - 0 - 1 - true - cd8088ce-ec24-418c-8630-d84687f657f9 - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1721 - 732 - 98 - 20 - - - 1771.5 - 742 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - c34908a3-c558-4fc9-ade6-b8d77cd19c80 - packages_2_reload - packages_2_reload - true - 1 - 1 - true - 66328fcd-efd9-42b7-87ec-d514a5dd32a2 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1721 - 752 - 98 - 20 - - - 1771.5 - 762 - - - - - - - - true - No conversion - 042dcf29-5597-46df-ac71-e28b717ae384 - i_dump - i_dump - true - 0 - 1 - true - d82fd7bf-d7e8-4186-b9e8-de2defea2540 - 1 - - 6a184b65-baa3-42d1-a548-3915b401de53 - - - - - - 1721 - 772 - 98 - 20 - - - 1771.5 - 782 - - - - - - - - true - Converts to collection of text fragments - e0643c36-c83b-486b-995d-00ca4955e52f - i_export_dir - i_export_dir - true - 0 - 1 - true - ae13e058-b13e-46a6-80d4-ff6430a32f0c - 1 - - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1721 - 792 - 98 - 20 - - - 1771.5 - 802 - - - - - - - - true - No conversion - 2d3d1869-520f-4179-a60d-3101458deaa5 - i_results - i_results - true - 0 - 1 - true - e3789d33-d982-49b8-80dd-af3803bcb5db - 1 - - 6a184b65-baa3-42d1-a548-3915b401de53 - - - - - - 1721 - 812 - 98 - 20 - - - 1771.5 - 822 - - - - - - - - false - The redirected standard output of the component scriptsync. - 4ab33423-be87-4023-ae31-31c6e69bd304 - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1849 - 732 - 41 - 100 - - - 1869.5 - 782 - - - - - - - - - - true - false - true - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __file__ (to avoid reloading pyd)
                                    if hasattr(sys.modules[key], '__file__'):
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            raise Exception(err_msg)

    def RunScript(self,
        select_file: bool,
        packages_2_reload : list,
        i_dump,
        i_export_dir: bool,
        i_results
    ):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - Cvs_Export - - - - - *.*.python - 3.* - - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - cd8088ce-ec24-418c-8630-d84687f657f9 - Button - Button - false - 0 - - - - - - 1582 - 727 - 103 - 22 - - - - - - - - - - 06953bda-1d37-4d58-9b38-4b3c74e54c8f - File Path - - - - - Contains a collection of file paths - false - All files|*.* - ae13e058-b13e-46a6-80d4-ff6430a32f0c - File Path - File Path - false - 0 - - - - - - 1607 - 804 - 50 - 24 - - - 1632.1278 - 816.7864 - - - - - - 1 - - - - - 1 - {0} - - - - - false - C:\Users\eleni\Desktop\DC\temp - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - d95c993c-041a-41de-8a8d-a474c9e617be - Panel - - false - 0 - 4ab33423-be87-4023-ae31-31c6e69bd304 - 1 - Double click to edit panel content… - - - - - - 1931 - 663 - 160 - 100 - - 0 - 0 - 0 - - 1931.2899 - 663.0605 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - d82fd7bf-d7e8-4186-b9e8-de2defea2540 - Boolean Toggle - Boolean Toggle - false - 0 - true - - - - - - 1534 - 771 - 146 - 22 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 3 - - 150;0;255;64 - - A group of Grasshopper objects - 834f4a6a-c436-4b4e-b63b-73f16497b008 - 1 - 0c910bcb-3688-41a4-9dd8-99f12314d7e9 - Group - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 3 - - 150;0;255;64 - - A group of Grasshopper objects - 4500d6fb-d2e9-4919-8614-324a841c0700 - 1 - 6fdf84d8-9b55-4201-90af-f986cdd36176 - Group - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 3 - - 150;0;221;255 - - A group of Grasshopper objects - 0ebd4627-1b32-48db-bcb2-64c7fbfacd63 - 1 - ac8de6ad-2b06-4484-ba4c-199e45fb6139 - Group - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 3 - - 150;0;255;247 - - A group of Grasshopper objects - 73845afd-fc37-4614-b53e-71ef2116dff8 - 1 - f0c8cd33-d936-4553-a725-eab2a6208cee - Group - - - - - - - - - - - 17b7152b-d30d-4d50-b9ef-c9fe25576fc2 - XY Plane - - - - - World XY plane. - 3f4d16ca-8a25-4595-b910-1f0e202dbdfb - XY Plane - XY Plane - - - - - - 943 - 1313 - 107 - 28 - - - 997 - 1327 - - - - - - Origin of plane - 4b22a07f-fac8-4edf-a07b-f20d2633592f - Origin - Origin - false - 0 - - - - - - 945 - 1315 - 37 - 24 - - - 965 - 1327 - - - - - - 1 - - - - - 1 - {0} - - - - - - - 0 - 0 - 0 - - - - - - - - - - - - World XY plane - 5335d596-1970-4705-ad3c-1c67ee6c08f2 - Plane - Plane - false - 0 - - - - - - 1012 - 1315 - 36 - 24 - - - 1030 - 1327 - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 74f057f6-6db1-4665-9613-545b39c7d14c - Panel - - false - 0 - c6d5bc15-cf36-4e1c-a9ea-2550699f0dab - 1 - Double click to edit panel content… - - - - - - 1361 - 652 - 160 - 66 - - 0 - 0 - 0 - - 1361.9314 - 652.1498 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 9f5644dd-f1d0-4813-be4a-4b20f62e80e9 - Panel - - false - 0 - 7c3a3407-0594-4649-b966-11cad3810515 - 1 - Double click to edit panel content… - - - - - - 1363 - 788 - 160 - 72 - - 0 - 0 - 0 - - 1363.1927 - 788.93097 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - e1905a16-da43-4705-bd65-41d34328c4e6 - Bar Graph - - - - - - 255;255;0;90 - - 100 - Bar graph representation of a set of numbers - 852fa021-5530-49ab-9d2b-d5bc1ef64e33 - Bar Graph - Bar Graph - false - d3000959-22c2-4c3f-98b1-fb66729adc52 - 1 - - - - - - 1329.0264 - 372.51508 - 510 - 50 - - - - - - - - - - 8ec86459-bf01-4409-baee-174d0d2b13d0 - Data - - - - - Contains a collection of generic data - d3000959-22c2-4c3f-98b1-fb66729adc52 - 1 - Data - Data - false - 8fcd853d-63d2-4364-8f02-f048c161596c - 1 - - - - - - 1256 - 448 - 69 - 24 - - - 1300.5874 - 460.58792 - - - - - - - - - - 6f93d366-919f-4dda-a35e-ba03dd62799b - Sort List - - - - - Sort a list of numeric keys. - 542338a0-bd0b-4c5c-8c65-8da525678519 - Sort List - Sort List - - - - - - 1315 - 467 - 135 - 44 - - - 1381 - 489 - - - - - - 2 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - List of sortable keys - 2e827d3c-e52b-46cb-9f5c-35e922900122 - Keys - Keys - false - d3000959-22c2-4c3f-98b1-fb66729adc52 - 1 - - - - - - 1317 - 469 - 49 - 20 - - - 1343 - 479 - - - - - - - - 1 - Optional list of values to sort synchronously - 30f688e4-d92b-4aa5-bacc-7352c710aa43 - Values Values A - Values A - true - 0 - - - - - - 1317 - 489 - 49 - 20 - - - 1343 - 499 - - - - - - - - 1 - Sorted keys - 4c742508-0249-4a2f-9d7c-e2ca4db92354 - Keys - Keys - false - 0 - - - - - - 1396 - 469 - 52 - 20 - - - 1422 - 479 - - - - - - - - 1 - Synchronous values in Values A - 40dd64b4-c6fc-4806-8833-adaac974765f - Values Values A - Values A - false - 0 - - - - - - 1396 - 489 - 52 - 20 - - - 1422 - 499 - - - - - - - - - - - - - - 59daf374-bc21-4a5e-8282-5504fb7ae9ae - List Item - - - - - 1 - Retrieve a specific item from a list. - ba4b7fdc-38fa-4005-8da6-b0724f613c16 - List Item - List Item - - - - - - 1507 - 467 - 87 - 64 - - - 1557 - 499 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2e3ab970-8545-46bb-836c-1c11e5610bce - cb95db89-6165-43b6-9c41-5702bc5bf137 - 2 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - Base list - 563b91f9-755d-435a-90ae-8cb5fc10cc64 - List - List - false - 4c742508-0249-4a2f-9d7c-e2ca4db92354 - 1 - - - - - - 1509 - 469 - 33 - 20 - - - 1527 - 479 - - - - - - - - Item index - d53a03c6-97b5-428e-beea-5261bc3ba036 - Index - Index - false - 0 - - - - - - 1509 - 489 - 33 - 20 - - - 1527 - 499 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Wrap index to list bounds - f4e49d49-e36a-4d65-b687-a59ac7ecc3fc - Wrap - Wrap - false - 0 - - - - - - 1509 - 509 - 33 - 20 - - - 1527 - 519 - - - - - - 1 - - - - - 1 - {0} - - - - - true - - - - - - - - - - - Item at {-1'} - 9449cd44-6d25-474a-94a1-6b195b74ea97 - false - Item -1 - -1 - false - 0 - - - - - - 1572 - 469 - 20 - 30 - - - 1582 - 484 - - - - - - - - Item at {i'} - 9783ac30-5504-4556-883e-5ab1193be920 - false - Item - i - false - 0 - - - - - - 1572 - 499 - 20 - 30 - - - 1582 - 514 - - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - df950362-9401-49ab-be85-afcaba643030 - Panel - - false - 0 - 9449cd44-6d25-474a-94a1-6b195b74ea97 - 1 - Double click to edit panel content… - - - - - - 1634 - 427 - 160 - 69 - - 0 - 0 - 0 - - 1634.1313 - 427.4191 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 46c10973-968a-4227-bf11-bf9ff52e1f25 - Panel - - false - 0 - 9783ac30-5504-4556-883e-5ab1193be920 - 1 - Double click to edit panel content… - - - - - - 1643 - 498 - 160 - 69 - - 0 - 0 - 0 - - 1643.77 - 498.10913 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - e1905a16-da43-4705-bd65-41d34328c4e6 - Bar Graph - - - - - - 255;255;0;90 - - 100 - Bar graph representation of a set of numbers - 6a5d6b47-30b4-4e81-bb98-ab1f7779333b - Bar Graph - Bar Graph - false - d9059691-be1d-4a55-a6b2-2babdf6e2b7e - 1 - - - - - - 1972.4631 - 1904.681 - 510 - 61 - - - - - - - - - - 8ec86459-bf01-4409-baee-174d0d2b13d0 - Data - - - - - Contains a collection of generic data - d9059691-be1d-4a55-a6b2-2babdf6e2b7e - 1 - Data - Data - false - 0ded525f-a333-437e-b5d3-e092c462bd86 - 1 - - - - - - 1814 - 1960 - 69 - 24 - - - 1858.4227 - 1972.7085 - - - - - - - - - - 6f93d366-919f-4dda-a35e-ba03dd62799b - Sort List - - - - - Sort a list of numeric keys. - 9aa0873a-b3e7-4714-9ad8-d1fbc51f5e12 - Sort List - Sort List - - - - - - 1850 - 2008 - 135 - 44 - - - 1916 - 2030 - - - - - - 2 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - List of sortable keys - 747aaa87-be38-4b49-a9dc-da9e4aac685d - Keys - Keys - false - d9059691-be1d-4a55-a6b2-2babdf6e2b7e - 1 - - - - - - 1852 - 2010 - 49 - 20 - - - 1878 - 2020 - - - - - - - - 1 - Optional list of values to sort synchronously - 45067ed2-ecdd-4d31-90fd-a9da3e60fafb - Values Values A - Values A - true - 0 - - - - - - 1852 - 2030 - 49 - 20 - - - 1878 - 2040 - - - - - - - - 1 - Sorted keys - 11989fa7-dd71-4db1-9f04-365283d06b87 - Keys - Keys - false - 0 - - - - - - 1931 - 2010 - 52 - 20 - - - 1957 - 2020 - - - - - - - - 1 - Synchronous values in Values A - 33b2078c-149b-4f54-ad62-153191989ff3 - Values Values A - Values A - false - 0 - - - - - - 1931 - 2030 - 52 - 20 - - - 1957 - 2040 - - - - - - - - - - - - - - 59daf374-bc21-4a5e-8282-5504fb7ae9ae - List Item - - - - - 1 - Retrieve a specific item from a list. - 909ee374-be10-491d-b430-d02223dadeb7 - List Item - List Item - - - - - - 2029 - 2001 - 87 - 64 - - - 2079 - 2033 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2e3ab970-8545-46bb-836c-1c11e5610bce - cb95db89-6165-43b6-9c41-5702bc5bf137 - 2 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - Base list - 41ad9cc1-2823-4d48-b7c9-6ac5d330f366 - List - List - false - 11989fa7-dd71-4db1-9f04-365283d06b87 - 1 - - - - - - 2031 - 2003 - 33 - 20 - - - 2049 - 2013 - - - - - - - - Item index - 7aca045d-5b78-4237-a92f-75655b2dc3aa - Index - Index - false - 0 - - - - - - 2031 - 2023 - 33 - 20 - - - 2049 - 2033 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Wrap index to list bounds - bffc3501-450b-4c4e-95d3-fe52be7e77d7 - Wrap - Wrap - false - 0 - - - - - - 2031 - 2043 - 33 - 20 - - - 2049 - 2053 - - - - - - 1 - - - - - 1 - {0} - - - - - true - - - - - - - - - - - Item at {-1'} - 4b8d7362-3b5b-4400-b217-d38512e0fdbe - false - Item -1 - -1 - false - 0 - - - - - - 2094 - 2003 - 20 - 30 - - - 2104 - 2018 - - - - - - - - Item at {i'} - 8d4e2398-4196-40af-b609-c52fd97f508b - false - Item - i - false - 0 - - - - - - 2094 - 2033 - 20 - 30 - - - 2104 - 2048 - - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 02e4db00-a9df-4521-87b9-bec297fad555 - Panel - - false - 0 - 4b8d7362-3b5b-4400-b217-d38512e0fdbe - 1 - Double click to edit panel content… - - - - - - 2177 - 1997 - 160 - 69 - - 0 - 0 - 0 - - 2177.613 - 1997.9713 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - e0b8ec46-9961-4d97-95cb-ba53a5658b6f - Panel - - false - 0 - 8d4e2398-4196-40af-b609-c52fd97f508b - 1 - Double click to edit panel content… - - - - - - 2176 - 2081 - 160 - 69 - - 0 - 0 - 0 - - 2176.871 - 2081.1182 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - fbfb76cf-fb43-4e27-8607-341c511df491 - Number Slider - Number Slider - false - 0 - - - - - - 855 - 1271 - 203 - 20 - - - 855.17505 - 1271.4 - - - - - - 3 - 1 - 1 - 10 - 0 - 0 - 10 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - c587136c-2464-4177-9b92-f6d06946d3ec - Number Slider - Number Slider - false - 0 - - - - - - 843 - 1291 - 203 - 20 - - - 843.7001 - 1291.0499 - - - - - - 1 - 1 - 0 - 1 - 0 - 0 - 0.6 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 9a357efa-9e2e-4f55-886e-57ffe379d479 - Number Slider - Number Slider - false - 0 - - - - - - 854 - 1348 - 203 - 20 - - - 854.5819 - 1348.8132 - - - - - - 3 - 1 - 0 - 0.01 - 0 - 0 - 0.002 - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - ec3bfd0d-64f8-4695-88b9-3eabf2c03135 - Move - Move - - - - - - 844 - 2362 - 148 - 44 - - - 916 - 2384 - - - - - - Base geometry - abcc8a13-61e7-4f23-b579-61f64a3ac69e - Geometry - Geometry - true - 4a7f7f47-2daa-48f9-b625-49a3e03d1116 - 92768f5e-0459-435b-9051-f214d8b03ad0 - 2 - - - - - - 846 - 2364 - 55 - 20 - - - 875 - 2374 - - - - - - - - Translation vector - 1c22d87b-8897-440d-a022-ed0ba707dce7 - Motion - Motion - false - e0a4f7bc-cdb7-4e79-89c3-61f67b56ff22 - 1 - - - - - - 846 - 2384 - 55 - 20 - - - 875 - 2394 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - d65136ec-49bd-4109-8bbc-4893b57d2557 - Geometry - Geometry - false - 0 - - - - - - 931 - 2364 - 59 - 20 - - - 960.5 - 2374 - - - - - - - - Transformation data - fc14a8a0-d4dd-4cbf-ade9-6cf94daf7c03 - Transform - Transform - false - 0 - - - - - - 931 - 2384 - 59 - 20 - - - 960.5 - 2394 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 25ff4d68-9b0c-4433-8a9a-1aea12a3f3ad - Number Slider - Number Slider - false - 0 - - - - - - 1141 - 2066 - 203 - 20 - - - 1141.3912 - 2066.274 - - - - - - 1 - 1 - 0 - 1 - 0 - 0 - 0.1 - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - 2b29cd2c-a62a-4956-b3cd-be06549ad797 - Move - Move - - - - - - 1492 - 2298 - 148 - 44 - - - 1564 - 2320 - - - - - - Base geometry - d0f6bbe5-fa7c-499d-ab9c-36496644654a - Geometry - Geometry - true - c08768c2-f016-472b-b915-844ed9e9efe8 - 1 - - - - - - 1494 - 2300 - 55 - 20 - - - 1523 - 2310 - - - - - - - - Translation vector - d260e661-29d3-4849-bb9d-089e19799cc9 - Motion - Motion - false - 57260be7-b97e-4219-a56c-d6428a755279 - 1 - - - - - - 1494 - 2320 - 55 - 20 - - - 1523 - 2330 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - ac6470d7-f213-49a9-93a1-a66ebf59012c - Geometry - Geometry - false - 0 - - - - - - 1579 - 2300 - 59 - 20 - - - 1608.5 - 2310 - - - - - - - - Transformation data - 0260b952-acf6-4b29-958f-a369fd7aef45 - Transform - Transform - false - 0 - - - - - - 1579 - 2320 - 59 - 20 - - - 1608.5 - 2330 - - - - - - - - - - - - 79f9fbb3-8f1d-4d9a-88a9-f7961b1012cd - Unit X - - - - - Unit vector parallel to the world {x} axis. - 12f306dd-dee3-4284-8c21-bcef209cdb33 - Unit X - Unit X - - - - - - 1321 - 2316 - 134 - 28 - - - 1375 - 2330 - - - - - - Unit multiplication - d2a8cba0-1896-4a2f-b94f-a119871421e2 - Factor - Factor - false - 21a9157b-2d7e-4dbc-abe9-fdff5370fe9e - 1 - - - - - - 1323 - 2318 - 37 - 24 - - - 1343 - 2330 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - World {x} vector - 57260be7-b97e-4219-a56c-d6428a755279 - Unit vector - Unit vector - false - 0 - - - - - - 1390 - 2318 - 63 - 24 - - - 1421.5 - 2330 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 21a9157b-2d7e-4dbc-abe9-fdff5370fe9e - Number Slider - Number Slider - false - 0 - - - - - - 1078 - 2322 - 203 - 20 - - - 1078.8702 - 2322.2864 - - - - - - 3 - 1 - 1 - 10 - 0 - 0 - 9 - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - This allows to run the current active cpython file from vscode to grasshopper. - true - 2 - - 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 - - c1a7af19-3b30-4a10-bfb8-5056316fe8d7 - true - false - true - script-sync cpython - script-sync cpython - 3 - - false - false - false - false - - - - - - 1459 - 1918 - 205 - 144 - - - 1581 - 1990 - - - - - - 7 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - 5ed08e91-5cf1-481b-9c4e-b19a3ba80e0f - select_file - select_file - true - 0 - 1 - true - fecd95be-58ad-41c8-9feb-437383f094a1 - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1461 - 1920 - 105 - 20 - - - 1515 - 1930 - - - - - - - - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3a50e2ff-58c5-4f07-9ca6-1798f8c1010a - package_2_reload - package_2_reload - true - 0 - 1 - true - fb059d33-4154-47bc-acbf-d3cb3d5951c5 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1461 - 1940 - 105 - 20 - - - 1515 - 1950 - - - - - - - - 1 - true - A generic x input. - 70886bb3-ced5-4509-8b43-e3ce26bc920f - i_cloud_source - i_cloud_source - true - 1 - 1 - true - c08768c2-f016-472b-b915-844ed9e9efe8 - 1 - A generic x input. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 1461 - 1960 - 105 - 20 - - - 1515 - 1970 - - - - - - - - 1 - true - rhinoscriptsyntax geometry - df7d34ff-ca96-45d8-b259-9bb0e9398c6c - i_beam - i_beam - true - 1 - 1 - true - 47b571b1-4ac9-444c-8779-44feeaf704cb - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1461 - 1980 - 105 - 20 - - - 1515 - 1990 - - - - - - - - true - rhinoscriptsyntax geometry - dbb255a1-5af9-4af6-845c-077bc5fe02f8 - i_signed_flag - i_signed_flag - true - 0 - 1 - true - 26e762cb-9932-41ea-86a9-d80458e13c34 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1461 - 2000 - 105 - 20 - - - 1515 - 2010 - - - - - - - - true - rhinoscriptsyntax geometry - c65b002d-adbc-4d53-a9e8-4a8ddf2b601c - i_swap - i_swap - true - 0 - 1 - true - 5e13487f-33a1-418b-bcd0-ce4c84f8ee78 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1461 - 2020 - 105 - 20 - - - 1515 - 2030 - - - - - - - - true - rhinoscriptsyntax geometry - 4153094f-3422-438a-9f2d-87a9a76375da - i_analysis_resolution - i_analysis_resolution - true - 0 - 1 - true - 25ff4d68-9b0c-4433-8a9a-1aea12a3f3ad - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1461 - 2040 - 105 - 20 - - - 1515 - 2050 - - - - - - - - false - The redirected standard output of the component scriptsync. - 8bbdd4d5-5123-466f-bd8b-ad3ae05e54b5 - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1596 - 1920 - 66 - 46 - - - 1629 - 1943.3334 - - - - - - - - false - Generic example output of the component - 0ded525f-a333-437e-b5d3-e092c462bd86 - o_distances - o_distances - false - 0 - 1 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1596 - 1966 - 66 - 47 - - - 1629 - 1990 - - - - - - - - false - rhinoscriptsyntax geometry - e685d78a-4860-4934-8604-029ab89537c0 - o_results - o_results - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1596 - 2013 - 66 - 47 - - - 1629 - 2036.6667 - - - - - - - - - - true - false - true - import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(Grasshopper.Kernel.GH_ScriptInstance):
    def __init__(self):
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, package_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param package_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        output_buffer = io.StringIO()
        try:
            sys.stdout = output_buffer
            with open(path, 'r') as f:
                # reload the specifyed packages
                if package_2_reload is not None:
                    if package_2_reload.__len__() != 0:
                        for key in list(sys.modules.keys()):
                            if package_2_reload in key:
                                # check that the package must have the attribute __file__ (to avoid reloading pyd)
                                if hasattr(sys.modules[key], '__file__'):
                                    importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                # output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output_buffer):
                    exec(code, globals, locals)
                locals["stdout"] = output_buffer.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output_buffer.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)
            return locals

        except Exception as e:
            # sys.stdout = sys.__stdout__
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            # FIXME: this is not working the retrival of the previous messages
            # for debugging purposes we include the prints before and the error message
            err_msg_header = f"script-sync::Error in the code file {path}"
            err_msg_sep = ">" * 30
            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            prints_before_err_msg = output_buffer.getvalue()
            prints_before_msg = prints_before_err_msg.split("\n")

            err_msg = err_msg_header + \
                f"\n{err_msg_sep}\n" + "Error msg:" + f"\n{err_msg_sep}\n" + \
                err_msg
                # f"\n{err_msg_sep}\n" + "Preavious prints before error:" + f"\n{err_msg_sep}\n" + \
                # "\n".join(prints_before_msg[:-1])

            raise Exception(err_msg)
        
        finally:
            sys.stdout = sys.__stdout__
            output_buffer.close()

    def RunScript(self,
            select_file: bool,
            package_2_reload: str,
            i_cloud_source,
            i_beam,
            i_signed_flag,
            i_swap,
            i_analysis_resolution):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # print all the locals
        print(locals())

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), package_2_reload)
        self.is_success = True
        return

    def is_nested_iterable(self, lst):
        """ Detect if a list is nested. """
        return any(isinstance(i, list) for i in lst)

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            # TODO: increase the number of nested lists they can be handles (max 2 deep for now)
            elif type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if self.is_nested_iterable(self._var_output[idx]):
                    nbr_lists_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_lists_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - script-sync cpython - - - - - *.*.python - 3.* - - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - fecd95be-58ad-41c8-9feb-437383f094a1 - Button - Button - false - 0 - - - - - - 1257 - 2105 - 103 - 22 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 7f47818a-d2b0-4bda-9200-efd98820b84e - Panel - Panel - false - 0 - 8bbdd4d5-5123-466f-bd8b-ad3ae05e54b5 - 1 - Double click to edit panel content… - - - - - - 1562 - 1699 - 160 - 100 - - 0 - 0 - 0 - - 1562.5 - 1699 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - - - - - - 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 - - - - - \ No newline at end of file +version https://git-lfs.github.com/spec/v1 +oid sha256:980c7cb414091fcbfeb37c37d7c7b317871a63a064a07fae3de152741065a9cc +size 1509896 diff --git a/src/gh/examples/error_viz_tester_components.ghx b/src/gh/examples/error_viz_tester_components.ghx index 171186a5..ba7862df 100644 --- a/src/gh/examples/error_viz_tester_components.ghx +++ b/src/gh/examples/error_viz_tester_components.ghx @@ -1,16137 +1,3 @@ - - - - - - - - 0 - 2 - 2 - - - - - - - 1 - 0 - 8 - - - - - - e0804480-29e6-432a-931a-4f7ea5279d0c - Shaded - 1 - - 100;150;0;0 - - - 100;0;150;0 - - - - - - 638503455711387165 - - false - error_viz_tester_components.ghx - - - - - 0 - - - - - - -10511 - -7491 - - 4.5074954 - - - - - 0 - - - - - - - 0 - - - - - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization_settings\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_csv_exporter\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_vizualization\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_cloud_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - not_found - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_mesh_distance2\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_mesh_distance\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_load_cloud_from_file\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cvs_exporter\code.py - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_cloud_to_cloud_distance\code.py - not_found - C:\Users\eleni\workspace\projects\diffCheck\src\gh\components\DF_csv_exporter\code.py - - - - - 9 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.11.24254.15001 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.11.24254.15001 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.11.24254.15001 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.11.24254.15001 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.11.24254.15001 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.11.24254.15001 - - - - - RhinoCodePluginGH, Version=8.11.24254.15001, Culture=neutral, PublicKeyToken=552281e97c755530 - 8.11.24254.15001 - - 066d0a87-236f-4eae-a0f4-9e42f5327962 - RhinoCodePluginGH - - - - - - Meshedit2000, Version=2.0.0.0, Culture=neutral, PublicKeyToken=null - 2.0.0.0 - [uto] - 14601aeb-b64f-9304-459d-d5d06df91218 - MeshEdit Components - 2.0.0.0 - - - - - Bifocals, Version=0.5.0.0, Culture=neutral, PublicKeyToken=null - 0.5.0.0 - Marc Syp - 9bde5adf-1aa6-414c-a1d4-8832edea1934 - Bifocals - - - - - - - - 240 - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 150;255;0;255 - - A group of Grasshopper objects - 66de31f8-b1d8-4a6f-8c9b-a2139fbc21e9 - 0d554d4e-86ab-4542-ad80-f31d46d1390c - a316d259-c3e1-4fb7-94ae-cb24613e9a58 - 730c9210-22f6-4396-bb0b-e27023203431 - 3273c958-8c93-4345-9b81-771f1b939383 - 442be2ee-fd8f-4a94-be59-443a298ba661 - b514bf02-a866-4a27-8c58-3af0715d74de - 949b2992-3b96-4c70-8949-3a89d92aa2ed - bcea2679-1e9a-45da-b082-ade26d0c62fd - e7d25370-cf19-4ee1-873f-5a10c08533b6 - 29d2cdde-c97e-4392-a520-0658e9dbbecc - 2c7a2245-0c43-4541-a1d7-e3f47599bcdb - a09bd204-bd3e-434c-9ec0-c8efb4fb91b7 - 55366bea-384d-4bd7-979c-411bb282be8b - f5533176-d75c-4cda-9dde-8efdb0792c3f - b13290f8-66b4-4d01-9d70-c7a1cd96f5ea - 375ae8dd-197f-4447-8164-b597f82bb3bc - ac524d1d-6f48-40c1-8c22-aca7bc835f1f - dabe7253-ddb8-41db-8a40-50bd88e68f04 - b61b0507-e7cc-449a-9325-76be626b6bef - 8d2733b7-3dc9-4f53-bae0-d315fe5fa692 - 6b887680-516c-4c05-ae85-ed6e49063b8a - 25ef8658-f98c-4c08-9db4-885c4d88d2a6 - 90294e44-7e04-4901-8260-0c8f918bd70d - 443c91e5-e35f-4032-bae0-e046db20d2e5 - 8d227547-db80-43ac-b1ed-f852782199bd - d6ef995d-2ce0-4c18-8fc9-e832fe0c10e0 - 5e775ff3-65b5-4ce6-93b4-b5ada5e390c7 - a26f4de5-aac4-41f7-a279-83a35c6ab4da - 436fc1cc-7f35-4be4-a8f2-3a0f521982fe - 621ff3f0-19f3-4246-9140-ea448d3c6f72 - eeaaa182-e69e-41fd-a848-99e4635e0c94 - 47dac4f1-195a-44cc-a5b8-0e20695b92b2 - 33 - 848a2713-a834-4c17-9d1d-735458718327 - Group - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 150;255;0;255 - - A group of Grasshopper objects - 87f5d329-7a96-41e3-80b5-d68dd51520d4 - 72a71646-1ad0-4920-bf80-5cc7e11d7b21 - 846ea790-c836-4191-9324-b5c2ada6110d - b242093d-115c-4a90-832b-a50e2271116a - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - 51b3a4af-6648-47a7-8c8f-ef1db4e7d077 - 4febcd3d-3889-48b3-8717-9f54bd7f159a - 3793dcf8-bbf6-475c-b6a1-7858436c4496 - ef69edb6-8129-4327-949c-29e489d7da3a - fc46972f-be0d-48f5-a51c-1ff43bd476f7 - dcd0daa9-5789-4528-a13e-0edf403ca46d - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - 94bd4256-3f79-475c-ae71-1198bf6a2b71 - 269708ea-90c6-462d-bcd3-d0430985ca68 - b7cadbb0-f3f6-441f-a8e9-5f535c4d5341 - da78eacf-fcd8-4022-ba36-b83551843cb6 - c9d7ab64-12d9-47a6-9f5a-b7d486582e06 - 8415d429-e830-45a1-806f-a910ba269381 - f946b491-6acd-4766-a589-125fa9d33774 - 68482e45-a0e2-466b-b024-0dc406891b01 - 127e3ee4-e42d-471f-beb4-7820004aef36 - c1b3d7d8-4378-4549-a63d-789a97e1e9a3 - d14b099a-03c2-49a8-a19c-f4987e56f3ce - 0cac1f19-83aa-4634-8a89-f6777722a4ba - 32f862ef-e76a-40a5-8b4f-48d3049de75a - 91893fa3-56c6-4868-bd84-6c954504afe5 - 4e3f6573-8958-4749-ac49-324ce5b1c9d3 - a6aae418-2614-436e-bf70-54220ebb0ae7 - e30bf6e4-0f8e-4f39-a7b5-796e9c5d92a7 - 610b0d7a-8f6b-4a69-89c6-e0d74ef0a8a9 - 7c67b4e7-810b-4224-9c80-53b1e65ef005 - 9be4a434-de71-4528-ab76-516842fc6bcc - f99751e9-0acc-4562-9185-654605fa1a95 - 33 - 162cd526-3cd3-4c99-b2f4-6445c6dabec0 - Group - - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - true - 7514d03c-6707-4fad-a690-58ddf550d4dd - Point Cloud - Point Cloud - false - 42d4ac43-8b35-4dc4-aafa-25e746391f6a - 6527813d-473b-4a75-be13-db5b5ed846cd - 2 - - - - - - 2140 - 192 - 50 - 24 - - - 2165.5066 - 204.11987 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 66328fcd-efd9-42b7-87ec-d514a5dd32a2 - Panel - - false - 0 - 0 - diffCheck - - - - - - 2101 - 142 - 113 - 38 - - 0 - 0 - 0 - - 2101.111 - 142.37335 - - - - - - - 255;213;217;232 - - true - true - false - false - false - true - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ab3f6c0e-988c-481d-95be-d0a293794401 - 1 - 810ab5e9-e874-48ae-8412-3a4666203a29 - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 8e8e49a3-ffdb-4bf9-b2c9-f11fbc16624c - 1 - c945d0a6-5e83-4eba-bfd7-89da3712f72f - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 75730beb-fdbf-4732-822c-9d7c17e9fbed - 1 - 03ab31fb-7a8b-4efd-bf87-6147a585b988 - Group - DFXMLExporter - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 84aab5f4-54df-4c7b-98da-319109c285a3 - 1 - d4465255-1321-4991-a243-5b82d168facf - Group - Export XYZ - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - cf5dd4ed-1e07-4fba-8bd9-b272aa7d1ff3 - 1 - 3c1a1139-dc72-476b-99d5-8dafe733aa79 - Group - Python 3 Script - - - - - - - - - - 4373a3f7-7b9a-4379-bb16-a760ba0dde4f - 14601aeb-b64f-9304-459d-d5d06df91218 - Mesh Explode - - - - - Decompose a mesh into its faces - true - 87f5d329-7a96-41e3-80b5-d68dd51520d4 - Mesh Explode - Mesh Explode - - - - - - 895 - 96 - 130 - 44 - - - 972 - 118 - - - - - - The open or closed mesh - true - c7ce0d72-5509-480b-acc2-96e721f9282c - Mesh - Mesh - false - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - 1 - - - - - - 897 - 98 - 60 - 20 - - - 928.5 - 108 - - - - - - - - Interpolate vertex Colours - f94d4649-3ea8-4b89-9981-17c49fc66f76 - Interpolate - Interpolate - true - 0 - - - - - - 897 - 118 - 60 - 20 - - - 928.5 - 128 - - - - - - 1 - - - - - 1 - {0} - - - - - false - - - - - - - - - - - Faces of mesh - c81fd0df-038a-4198-88e8-07487e28d2c0 - Faces - Faces - false - 0 - - - - - - 987 - 98 - 36 - 40 - - - 1005 - 118 - - - - - - - - - - - - c8cb6a5c-2ffd-4095-ba2a-5c35015e09e4 - Populate Geometry - - - - - Populate generic geometry with points - true - 72a71646-1ad0-4920-bf80-5cc7e11d7b21 - Populate Geometry - Populate Geometry - - - - - - 1109 - 282 - 168 - 84 - - - 1181 - 324 - - - - - - Geometry to populate (curves, surfaces, breps and meshes only) - 13798436-04af-4606-a81e-bf122b8940d4 - Geometry - Geometry - false - 7d2d6fa0-af77-43c1-a6dc-9876a28c628b - 1 - - - - - - 1111 - 284 - 55 - 20 - - - 1140 - 294 - - - - - - - - Number of points to add - 9f11a17a-4b32-43d2-b0e1-0d2fa11d34b5 - Count - Count - false - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - 1 - - - - - - 1111 - 304 - 55 - 20 - - - 1140 - 314 - - - - - - 1 - - - - - 1 - {0} - - - - - 100 - - - - - - - - - - - Random seed for insertion - 113d4a64-dc1a-4274-9fa1-58ffbbf18400 - Seed - Seed - false - 846ea790-c836-4191-9324-b5c2ada6110d - 1 - - - - - - 1111 - 324 - 55 - 20 - - - 1140 - 334 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 1 - Optional pre-existing population - 3ae8b0f0-6836-49fe-a6e0-922eecebbc9c - Points - Points - true - 0 - - - - - - 1111 - 344 - 55 - 20 - - - 1140 - 354 - - - - - - - - 1 - Population of inserted points - 7079096c-52b5-4da9-8fbe-4d3bacdd8f3b - Population - Population - false - true - 0 - - - - - - 1196 - 284 - 79 - 80 - - - 1227.5 - 324 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 846ea790-c836-4191-9324-b5c2ada6110d - Number Slider - Number Slider - false - 0 - - - - - - 724 - 350 - 203 - 20 - - - 724.54065 - 350.55273 - - - - - - 3 - 1 - 1 - 10 - 0 - 0 - 2 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3d403147-b25b-450d-a84a-5f7018461c1a - 1 - 478166a9-7e8c-4d83-b635-5fa756a11b40 - Group - Mesh Explode - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - d22d8707-a9bf-47b9-9ba0-fbef94a89f56 - 1 - 0450bd0e-1fbd-4277-9496-51813f006b92 - Group - Deconstruct Mesh - - - - - - - - - - 2835454d-dc77-459d-a4d4-8f66078d88ca - Point Cloud Attributes - - - - - Point Cloud Attributes - true - b242093d-115c-4a90-832b-a50e2271116a - Point Cloud Attributes - Point Cloud Attributes - IOComponents, Version=8.11.24254.15001 - - - - - - 1417 - 302 - 143 - 124 - - - 1487 - 364 - - - - - - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - - - - - Point Cloud - 74b518e2-4912-47ef-a87f-fc73e3eaf4e8 - Cloud - Cloud - true - 0 - - - - - - 1419 - 304 - 53 - 20 - - - 1447 - 314 - - - - - - - - 1 - The locations of the points in the point cloud - 930ecefc-d389-4a50-bb39-87ba3d82bd8f - Locations - Locations - true - e4c45281-d336-43da-8de9-7518738c33cf - 1 - - - - - - 1419 - 324 - 53 - 20 - - - 1447 - 334 - - - - - - - - 1 - The normal vectors for the point cloud - 8ac12f82-dc93-407e-b155-be130a097c79 - Normals - Normals - true - 0 - - - - - - 1419 - 344 - 53 - 20 - - - 1447 - 354 - - - - - - - - 1 - The colours for the point cloud - d82cb3ba-670f-4da4-a0f1-8d1ed2ae6f13 - Colours - Colours - true - 0 - - - - - - 1419 - 364 - 53 - 20 - - - 1447 - 374 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - a3f96524-ed57-4b5c-bf8f-a2d93128e8ef - Extra - Extra - true - 0 - - - - - - 1419 - 384 - 53 - 20 - - - 1447 - 394 - - - - - - - - 1 - The visibility flags for the point cloud. - fb140182-e1f6-445b-bfd1-b197787a1336 - Hidden - Hidden - true - 0 - - - - - - 1419 - 404 - 53 - 20 - - - 1447 - 414 - - - - - - - - Point Cloud - 6ebab7cd-7db3-4f14-ba81-2d1376b5c7f0 - Cloud - Cloud - false - 0 - - - - - - 1502 - 304 - 56 - 20 - - - 1530 - 314 - - - - - - - - 1 - The locations of the points in the point cloud - true - f75c0428-f29c-41a7-9d9c-d70602de73f3 - Locations - Locations - false - 0 - - - - - - 1502 - 324 - 56 - 20 - - - 1530 - 334 - - - - - - - - 1 - The normal vectors for the point cloud - 8d8631b5-9bac-4038-884e-1399f8454b58 - Normals - Normals - false - 0 - - - - - - 1502 - 344 - 56 - 20 - - - 1530 - 354 - - - - - - - - 1 - The colours for the point cloud - 9b36566b-b026-40b1-bae4-803f384e5bf9 - Colours - Colours - false - 0 - - - - - - 1502 - 364 - 56 - 20 - - - 1530 - 374 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 1fce38ff-d7a3-463a-ac23-8342ca1a7fdc - Extra - Extra - false - 0 - - - - - - 1502 - 384 - 56 - 20 - - - 1530 - 394 - - - - - - - - 1 - The visibility flags for the point cloud. - 6bd5cd2b-a7b9-4762-b8aa-0a9fe23cc2e7 - Hidden - Hidden - false - 0 - - - - - - 1502 - 404 - 56 - 20 - - - 1530 - 414 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 61a3c238-f88a-4956-8944-178d621388ed - 1 - 710f8859-d288-4cec-82cd-a5560b6595ce - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 88b5b78e-5dc0-4274-965b-31b5462f8896 - 1 - 67c62d9e-4587-4648-84b7-bdcbdffd7032 - Group - Mesh Closest Point - - - - - - - - - - 1e936df3-0eea-4246-8549-514cb8862b7a - Mesh - - - - - Contains a collection of polygon meshes - true - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - Mesh - Mesh - false - 0 - - - - - - 541 - 107 - 50 - 24 - - - 566.31006 - 119.61224 - - - - - - 1 - - - - - 1 - {0} - - - - - - YmBkYGD4DwQgGgR4mIBEeFBGZl6+c35ubn6ejkJYalFxZn6erYWeoaGekYmRqYmeoamBgaGOgnNpTklpUaptXmppSVFijo5CQGlSTmayd2plSH52ap6tqamRkYVhqqV5srmpqamxASvIFmGw4Xruqfm5qSVFlXq+qcUZLEBx9jKIPVyJRckZmWWpxim5nPkFqXl5pUVJxSwpiSWJIEUcHBxMICcKqDMw2ADpmb06EziZgQx+EHEJaBDTr3omhmMgE4Hg938mBhGo155cue7n/vKy4P6nDALNjEofdHdKx/wByvdB1VqYAQkJqGIE+GBPGR/ozjtsjq+Ylu4HsUX/mzsueNJhH/RNxYGBoQGoFo6B8nCMIgaLGwYwg5GFmZGJlYWZhZ2NhZWDnZOLl4eLm4+Xh1eAn5dPUEBIWExUWERcTFRMUkJMXEpSWkZeTkZWQV5OXklRXkFZSUVVQ11VTVNDXUNbS0NTR1tXz9BAT9/I0MDQxNgQGLcdwNDNylz0i5GhgcFhPdTiilu9kxT5mBwFWDibxB8Y/mHcGnlBQ+6QfcWxTtcPHIfcBTh4xBpbZ+e82qbneGeV2NR58+b5fj+6rnrepzX10x9nXTj9Pu3CyvRv74+LssnyWM24/qem2ZG9uc2y5lr0jAsGC2eyNqeJ+aQ0O06WTKuaNykajJanbFtuXdj+LWd3SKxx9buK+Pep/ve1X/Z9y/l7JdbmdXz7u2vz/jEDibdl784WH/9eut3etpFvx27VsBCQHzz63i0G+0EJ7ofkhIbGtr88X5JvX2731be/eNr+sOkfCQmGT0mmpwPcBe02AMPXZMpNXbA2VWRtzNUcVxPON2ixHeX9lpG1IMnAJovP9gwjQ7qM8s4WFTc5jESDBBKACXNflvpjsKnaSKYeYJO7sfiT/Q3jB6HtfvUbjufz7bIqqbpiu/idpNw7RgamSUE//X2+pYK0LUFKAPDUgATU5IsUcaU+7ID66kDumuLvcYcRyAD7lQnqUpiDQdlLgJWBIWfvVVawgrtQiYpbv+WSdy/4u63p8L6WS/cnp9rdMnY4OK9P8lD0fa3kDvPcn3e+vdgv1fajfIWlvc215ZWn3t7sz+PbZXFGpqRwhmW57V7TJPGagwbssTJpQNFdlrV5k7SWP9tosWA2s7C7Obta3zv9kuILRy/+bc3j07lz4ayjuDt/eklxhrBd/JuN7efFq988/Hx0XtTDntNzd1ziXFfScXrujcesin1S53b86bauKzwqrlf+6FT8/cIn7jHvjsyrE/jYdDr+yDLnmJdi060LpzLvuKSrV550vnzHJWm9/4/O7QfyGaZ/s1zVPPFM/kf2rvXfY2wXtN9WcLjr6a0Ru+ALuCAAgaYtn9se/Vdz2JdQ+nuyzEf7PjdJlVPzWBxCTmtt+1/P1ABTx01cHIyCUTAKRsEoGBAAAAAA//8DAA== - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c8cb6a5c-2ffd-4095-ba2a-5c35015e09e4 - Populate Geometry - - - - - Populate generic geometry with points - true - 51b3a4af-6648-47a7-8c8f-ef1db4e7d077 - Populate Geometry - Populate Geometry - - - - - - 1118 - 96 - 152 - 84 - - - 1190 - 138 - - - - - - Geometry to populate (curves, surfaces, breps and meshes only) - 641536ec-5103-46ef-be82-9c74aa927c66 - Geometry - Geometry - false - c81fd0df-038a-4198-88e8-07487e28d2c0 - 1 - - - - - - 1120 - 98 - 55 - 20 - - - 1149 - 108 - - - - - - - - Number of points to add - 21cddc24-bde2-4763-b6e3-33933bd682b7 - Count - Count - false - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - 1 - - - - - - 1120 - 118 - 55 - 20 - - - 1149 - 128 - - - - - - 1 - - - - - 1 - {0} - - - - - 100 - - - - - - - - - - - Random seed for insertion - 3eeb80e0-ec9b-45e8-afe6-3314533c2bb7 - Seed - Seed - false - 0 - - - - - - 1120 - 138 - 55 - 20 - - - 1149 - 148 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 1 - Optional pre-existing population - 6d775b7d-188b-4594-abaf-d3546f715e2c - Points - Points - true - 0 - - - - - - 1120 - 158 - 55 - 20 - - - 1149 - 168 - - - - - - - - 1 - Population of inserted points - 420390c3-362f-4b65-9c6b-4e0fa4dddce7 - Population - Population - false - 0 - - - - - - 1205 - 98 - 63 - 80 - - - 1236.5 - 138 - - - - - - - - - - - - 2835454d-dc77-459d-a4d4-8f66078d88ca - Point Cloud Attributes - - - - - Point Cloud Attributes - true - 4febcd3d-3889-48b3-8717-9f54bd7f159a - Point Cloud Attributes - Point Cloud Attributes - IOComponents, Version=8.11.24254.15001 - - - - - - 1414 - 123 - 143 - 124 - - - 1484 - 185 - - - - - - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - - - - - Point Cloud - 457f1ecd-2097-4175-b8fc-9dbd1558cddd - Cloud - Cloud - true - 0 - - - - - - 1416 - 125 - 53 - 20 - - - 1444 - 135 - - - - - - - - 1 - The locations of the points in the point cloud - 960fbcdd-4c0a-432f-9295-757bd757db5c - Locations - Locations - true - 823b4027-7e34-42d1-b83f-564f74a7f092 - 1 - - - - - - 1416 - 145 - 53 - 20 - - - 1444 - 155 - - - - - - - - 1 - The normal vectors for the point cloud - bd69eaed-9217-4793-b6a1-d35fc6b78197 - Normals - Normals - true - 0 - - - - - - 1416 - 165 - 53 - 20 - - - 1444 - 175 - - - - - - - - 1 - The colours for the point cloud - 81e25e62-65ae-46bb-b7c5-dd478f6c8941 - Colours - Colours - true - 0 - - - - - - 1416 - 185 - 53 - 20 - - - 1444 - 195 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 19a6450e-38bb-4ae6-a420-22f8476618fa - Extra - Extra - true - 0 - - - - - - 1416 - 205 - 53 - 20 - - - 1444 - 215 - - - - - - - - 1 - The visibility flags for the point cloud. - c10d25a8-4a26-4f52-a2b8-0c6b83f2f9cb - Hidden - Hidden - true - 0 - - - - - - 1416 - 225 - 53 - 20 - - - 1444 - 235 - - - - - - - - Point Cloud - 42d4ac43-8b35-4dc4-aafa-25e746391f6a - Cloud - Cloud - false - 0 - - - - - - 1499 - 125 - 56 - 20 - - - 1527 - 135 - - - - - - - - 1 - The locations of the points in the point cloud - true - 5baee9a3-8384-4057-8c11-92f3f01e3f6e - Locations - Locations - false - 0 - - - - - - 1499 - 145 - 56 - 20 - - - 1527 - 155 - - - - - - - - 1 - The normal vectors for the point cloud - ab299d1d-1be0-4bfe-892d-cb0fda00ce1b - Normals - Normals - false - 0 - - - - - - 1499 - 165 - 56 - 20 - - - 1527 - 175 - - - - - - - - 1 - The colours for the point cloud - c6dbea7b-3c96-433e-86dc-ea5fff2f1378 - Colours - Colours - false - 0 - - - - - - 1499 - 185 - 56 - 20 - - - 1527 - 195 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 050f4acd-a973-4e82-9819-b4c60e0ce5f4 - Extra - Extra - false - 0 - - - - - - 1499 - 205 - 56 - 20 - - - 1527 - 215 - - - - - - - - 1 - The visibility flags for the point cloud. - dfce886e-13eb-47c0-b336-d8a7d82d549b - Hidden - Hidden - false - 0 - - - - - - 1499 - 225 - 56 - 20 - - - 1527 - 235 - - - - - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - true - b01a0b9d-01ad-46cd-992c-d420e8eeb90c - Point Cloud - Point Cloud - false - 6ebab7cd-7db3-4f14-ba81-2d1376b5c7f0 - 6527813d-473b-4a75-be13-db5b5ed846cd - 2 - - - - - - 2140 - 227 - 50 - 24 - - - 2165.559 - 239.7052 - - - - - - - - - - f80cfe18-9510-4b89-8301-8e58faf423bb - Flatten Tree - - - - - Flatten a data tree by removing all branching information. - true - 3793dcf8-bbf6-475c-b6a1-7858436c4496 - Flatten Tree - Flatten Tree - - - - - - 1294 - 126 - 94 - 44 - - - 1340 - 148 - - - - - - 2 - Data tree to flatten - 2a8b07e5-3a19-4557-a06f-e8d8e77cee54 - Tree - Tree - false - 420390c3-362f-4b65-9c6b-4e0fa4dddce7 - 1 - - - - - - 1296 - 128 - 29 - 20 - - - 1312 - 138 - - - - - - - - Path of flattened tree - 130299e1-086e-446a-9075-a6f1bc96efd3 - Path - Path - false - 0 - - - - - - 1296 - 148 - 29 - 20 - - - 1312 - 158 - - - - - - 1 - - - - - 1 - {0} - - - - - {0} - - - - - - - - - - - 2 - Flattened data tree - 823b4027-7e34-42d1-b83f-564f74a7f092 - Tree - Tree - false - 0 - - - - - - 1355 - 128 - 31 - 40 - - - 1370.5 - 148 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 339458ae-9c59-4106-8603-81495405153c - 1 - 51b61489-5f69-4235-aaba-696430447b92 - Group - script-sync cpython - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - ef69edb6-8129-4327-949c-29e489d7da3a - Move - Move - - - - - - 602 - 165 - 148 - 44 - - - 674 - 187 - - - - - - Base geometry - e8850edf-5651-45f1-b895-58e1582605ef - Geometry - Geometry - true - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - 1 - - - - - - 604 - 167 - 55 - 20 - - - 633 - 177 - - - - - - - - Translation vector - b4adab59-6e92-44a8-b757-93cfafd0e878 - Motion - Motion - false - 194f4f7e-3803-4f2b-9a26-e89101c97f22 - 1 - - - - - - 604 - 187 - 55 - 20 - - - 633 - 197 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - 06373066-8f79-4b2b-b83e-a99fcbb6b60c - Geometry - Geometry - false - 0 - - - - - - 689 - 167 - 59 - 20 - - - 718.5 - 177 - - - - - - - - Transformation data - 81ef04bf-b8b3-464a-8ebf-fd9cd55e0a7b - Transform - Transform - false - 0 - - - - - - 689 - 187 - 59 - 20 - - - 718.5 - 197 - - - - - - - - - - - - 3581f42a-9592-4549-bd6b-1c0fc39d067b - Construct Point - - - - - Construct a point from {xyz} coordinates. - true - fc46972f-be0d-48f5-a51c-1ff43bd476f7 - Construct Point - Construct Point - - - - - - 428 - 180 - 138 - 64 - - - 514 - 212 - - - - - - {x} coordinate - d57846ff-51ca-4f81-b76f-5b5d7e40077f - X coordinate - X coordinate - false - dcd0daa9-5789-4528-a13e-0edf403ca46d - 1 - - - - - - 430 - 182 - 69 - 20 - - - 466 - 192 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - {y} coordinate - 928deb39-8d6b-443c-a969-080f048e1797 - Y coordinate - Y coordinate - false - 94bd4256-3f79-475c-ae71-1198bf6a2b71 - 1 - - - - - - 430 - 202 - 69 - 20 - - - 466 - 212 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - {z} coordinate - c1137724-7e81-4e68-b204-c725066d2b87 - Z coordinate - Z coordinate - false - 269708ea-90c6-462d-bcd3-d0430985ca68 - 1 - - - - - - 430 - 222 - 69 - 20 - - - 466 - 232 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Point coordinate - 194f4f7e-3803-4f2b-9a26-e89101c97f22 - Point - Point - false - 0 - - - - - - 529 - 182 - 35 - 60 - - - 546.5 - 212 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - dcd0daa9-5789-4528-a13e-0edf403ca46d - Number Slider - Number Slider - false - 0 - - - - - - 203 - 180 - 203 - 20 - - - 203.1399 - 180.69434 - - - - - - 2 - 1 - 0 - 1 - 0 - 0 - 1 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 125a3053-4ace-4b24-a6dd-b629271da698 - 1 - c8c774ef-5a0f-4667-80f6-d35e283aab3e - Group - Point - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 36d8cb88-0a3b-44a3-b168-094b6fec4ed2 - 1 - 0244f29b-78ca-45fd-86b4-81362ef9d240 - Group - solver - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 460c585c-383b-4d37-ab09-fdfa8501314a - 1 - 3f1c44b1-ad12-44d7-b5f8-24a071e481ec - Group - Smaller Than - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - Number Slider - Number Slider - false - 0 - - - - - - 788 - 297 - 203 - 20 - - - 788.8812 - 297.07178 - - - - - - 3 - 1 - 1 - 600 - 0 - 0 - 200 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 94bd4256-3f79-475c-ae71-1198bf6a2b71 - Number Slider - Number Slider - false - 0 - - - - - - 204 - 202 - 203 - 20 - - - 204.10864 - 202.97687 - - - - - - 2 - 1 - 0 - 1 - 0 - 0 - 0 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 269708ea-90c6-462d-bcd3-d0430985ca68 - Number Slider - Number Slider - false - 0 - - - - - - 206 - 222 - 203 - 20 - - - 206.52234 - 222.36945 - - - - - - 2 - 1 - 0 - 1 - 0 - 0 - 0 - - - - - - - - - 4373a3f7-7b9a-4379-bb16-a760ba0dde4f - 14601aeb-b64f-9304-459d-d5d06df91218 - Mesh Explode - - - - - Decompose a mesh into its faces - true - b7cadbb0-f3f6-441f-a8e9-5f535c4d5341 - Mesh Explode - Mesh Explode - - - - - - 926 - 230 - 130 - 44 - - - 1003 - 252 - - - - - - The open or closed mesh - true - 7baf1f35-ee01-4bb4-99d3-f0d6229aacf7 - Mesh - Mesh - false - 45371f0f-33be-4629-99c7-632e72d11a51 - 1 - - - - - - 928 - 232 - 60 - 20 - - - 959.5 - 242 - - - - - - - - Interpolate vertex Colours - 9cfe082d-0fb7-4855-9640-f2c398c4d2c6 - Interpolate - Interpolate - true - 0 - - - - - - 928 - 252 - 60 - 20 - - - 959.5 - 262 - - - - - - 1 - - - - - 1 - {0} - - - - - false - - - - - - - - - - - Faces of mesh - 7d2d6fa0-af77-43c1-a6dc-9876a28c628b - Faces - Faces - false - 0 - - - - - - 1018 - 232 - 36 - 40 - - - 1036 - 252 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b88a1159-2954-4fd0-bca7-e8a49bb33592 - 1 - ee035763-f733-42f5-9d78-c5c68ce97d6d - Group - Vector Display - - - - - - - - - - 4d2a06bd-4b0f-4c65-9ee0-4220e4c01703 - Scale - - - - - Scale an object uniformly in all directions. - true - da78eacf-fcd8-4022-ba36-b83551843cb6 - Scale - Scale - - - - - - 747 - 225 - 148 - 64 - - - 819 - 257 - - - - - - Base geometry - 0ffcc918-5a80-4615-ae97-0936d244a406 - Geometry - Geometry - true - 06373066-8f79-4b2b-b83e-a99fcbb6b60c - 1 - - - - - - 749 - 227 - 55 - 20 - - - 778 - 237 - - - - - - - - Center of scaling - b37a03a5-c9f1-48c1-b79a-d4bdcbb8180a - Center - Center - false - 40a2504f-56a4-4727-805d-81906a2384af - 1 - - - - - - 749 - 247 - 55 - 20 - - - 778 - 257 - - - - - - 1 - - - - - 1 - {0} - - - - - - - 0 - 0 - 0 - - - - - - - - - - - - Scaling factor - 01d230af-3159-48de-8a95-793daab949a3 - Factor - Factor - false - 8415d429-e830-45a1-806f-a910ba269381 - 1 - - - - - - 749 - 267 - 55 - 20 - - - 778 - 277 - - - - - - 1 - - - - - 1 - {0} - - - - - 0.5 - - - - - - - - - - - Scaled geometry - 45371f0f-33be-4629-99c7-632e72d11a51 - Geometry - Geometry - false - 0 - - - - - - 834 - 227 - 59 - 30 - - - 863.5 - 242 - - - - - - - - Transformation data - f49e198d-eed7-4294-bbed-a7783b24870e - Transform - Transform - false - 0 - - - - - - 834 - 257 - 59 - 30 - - - 863.5 - 272 - - - - - - - - - - - - 7c0523e8-79c9-45a2-8777-cf0d46bc5432 - Volume - - - - - Solve volume properties for closed breps and meshes. - true - c9d7ab64-12d9-47a6-9f5a-b7d486582e06 - Volume - Volume - - - - - - 572 - 225 - 141 - 44 - - - 644 - 247 - - - - - - 1 - ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 - 2 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - fbac3e32-f100-4292-8692-77240a42fd1a - - - - - Closed brep or mesh for volume computation - ff0a2e2c-e89f-44ab-a22c-7b55c826faff - Geometry - Geometry - false - 06373066-8f79-4b2b-b83e-a99fcbb6b60c - 1 - - - - - - 574 - 227 - 55 - 40 - - - 603 - 247 - - - - - - - - Volume of geometry - 656b79de-bb50-43f5-b987-c2925c5738b1 - Volume - Volume - true - 0 - - - - - - 659 - 227 - 52 - 20 - - - 685 - 237 - - - - - - - - Volume centroid of geometry - 40a2504f-56a4-4727-805d-81906a2384af - Centroid - Centroid - true - 0 - - - - - - 659 - 247 - 52 - 20 - - - 685 - 257 - - - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 8415d429-e830-45a1-806f-a910ba269381 - Number Slider - Number Slider - false - 0 - - - - - - 517 - 283 - 203 - 20 - - - 517.94214 - 283.98297 - - - - - - 1 - 1 - 0 - 10 - 0 - 0 - 1.1 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - e27f5330-0022-4d5f-8247-0150d9b232e3 - 1 - f3961bb4-61e3-4fee-83a3-239165a3d3be - Group - Sphere - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 0d554d4e-86ab-4542-ad80-f31d46d1390c - Panel - - false - 0 - 0 - test - - - - - - 130 - 709 - 90 - 25 - - 0 - 0 - 0 - - 130.41321 - 709.6986 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - fe85a91d-7259-47db-a17d-0eaef3cdc7d9 - 1 - 746beaae-82e4-4054-9786-460a2eb64fd8 - Group - Brep - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructAssembly - - - - - - true - true - 2 - - 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 - - a316d259-c3e1-4fb7-94ae-cb24613e9a58 - true - false - true - DFDeconstructAssembly - DFDeconstructAssembly - 3 - - false - false - false - false - - - - - - 496 - 791 - 146 - 28 - - - 572 - 805 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The DFAssembly object to deconstruct. - c3bc2f02-7ea0-416c-ae1a-380b274fbf8b - i_assembly - i_assembly - true - 0 - 2 - true - 2241d514-32c2-414d-87ed-234bc200e4a4 - 1 - The DFAssembly object to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 498 - 793 - 59 - 24 - - - 529 - 805 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The set of beams contained by this DFAssembly object. - 6216e744-aff9-4fb4-b94f-445563cb427f - o_beams - o_beams - false - 0 - 2 - true - 0 - The set of beams contained by this DFAssembly object. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 587 - 793 - 53 - 24 - - - 613.5 - 805 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFDeconstructAssembly - - - - - *.*.python - 3.* - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructBeam - - - - - - true - true - 2 - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABgmlDQ1BJQ0MgcHJvZmlsZQAAKM+VkUsoRFEcxn9mvBJZGCUpd4EVJSNZaogUpTHKa+HeOw9q7p3p3pGNpbJVFh4bg4WNNVsLW6WUR8naworYSNf/3FEzqVFOnc6v75zv65zvQCCfNi23shcsO+dExyLa7Ny8VvNMNXU0005YN93s5PRojLLj45YKtd70qCz+NxriCdeECk14yMw6OeEl4YG1XFbxrnDIXNbjwqfC3Y5cUPhe6UaBXxSnfA6ozJATiw4Lh4S1VAkbJWwuO5Zwv3BH3LIlPzBb4LjidcVWetX8uad6YX3CnplWusw2xhhnkik0DFZZIU2OHlltUVyish8p42/1/VPiMsS1gimOETJY6L4f9Qe/u3WT4b5CUn0Eqp48760Tarbha8vzPg897+sIgo9wYRf9mTwMvou+VdQ6DqBxA84ui5qxA+eb0PKQ1R3dl4IyA8kkvJ7IN81B0zXULRR6+9nn+A5i0tXEFeztQ1dKshfLvLu2tLc/z/j9EfkGvWVyxYNnmI8AAAAJcEhZcwAACwwAAAsMAT9AIsgAAAAHdElNRQfoBgoVIwEFfQDnAAACZUlEQVRIS72TXUhTYRjHhaArr7rpypsg6KorKyp0m2dna1O3udXIFY2NXbh07eyjNYgt0X11NfIiwwpj2EVBYGWJFVkXkRJE4qb7yIyQygtbon1snu3pnONzrHX5bvWDBw6cH++f93nep+6/s9dr3IaftUM9HYo1zZmXmpKn2OakBUwPbq6F9cXXkY7yE1Sqg5FnVywD46B5HocL5jxc7AChYlz1tRUeoUaOW/qplaGywBzJgJt6C2FN8Y+QMkS0G5dRJcdF5fQMlQa+PPIF/tCtEL6iWoijSo5DmrIyVGYzhOZD2N830ZWhV12IoEoOI30XEUO89HuI6koVIaH2752oksPNIy62y6f4IBwshvDFtUuPKjkOWfKaeJNzysqQmA4goPymQJUcl2zxmRjiV36EfuM6+PtzEDWxfOtKAdXyblTJ4V7XlFORAqv1DqhGLUBlbGCeuA0xg3AjNqIpN6BKjv3Eiy4fXainZ3umqLQN+LLdHxPnseE4vLAT1eqhZ5xvOscT4LuUhejJzV3hnvMPatfAdlTIOUNn9jDy9E9+JkH1162hY+VRqw5ny/yq+IR721YrQrh5fEGNnJ6DS/VMS64ohpyOvgLVvTB4hmaFkFB7cRFVcs7K8g3cMrJ8gGE4AY2TBpDP2SFwflkI4XZmGlVyuP3gQtIsHyAb80OfYf2vdpVeokqOozm3T389kdfeuPrZJc9C0LoC7nAKzMOjoLt1BVCrnm5rLsi3yzg4Ao1P9UJJHnprF2C3pA8x1Py/C+Dplsx0HRsagf2Pj8OBCdOa5K5nEn/VDvXRwR34idTV/QKicbKSnDlhtQAAAABJRU5ErkJggg== - - 730c9210-22f6-4396-bb0b-e27023203431 - true - false - true - DFDeconstructBeam - DFDeconstructBeam - 3 - - false - false - false - false - - - - - - 611 - 959 - 184 - 64 - - - 690 - 991 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - 1 - true - The DFBeam objects to deconstruct. - 14086b18-0054-4d9f-a577-00a88b7d970c - 2 - i_beams - i_beams - true - 1 - 2 - true - 6216e744-aff9-4fb4-b94f-445563cb427f - 1 - The DFBeam objects to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 613 - 961 - 62 - 60 - - - 653.5 - 991 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The side faces of as Breps of the beam. - 99f095ea-5887-4313-a1f8-00a7c39204fa - o_side_faces - o_side_faces - false - 0 - 2 - true - true - 0 - The side faces of as Breps of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 705 - 961 - 88 - 20 - - - 741 - 971 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The faces as Breps belonging to joints of the beam. - 294a08f6-9cd9-42de-82d2-7cf94bf586cd - o_joint_faces - o_joint_faces - false - 0 - 2 - true - true - 0 - The faces as Breps belonging to joints of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 705 - 981 - 88 - 20 - - - 741 - 991 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - An integer indicating to which joint the joint faces are belonging to. - 804025a8-725a-4f19-b1ce-956564117eaa - o_joint_ids - o_joint_ids - false - 0 - 2 - true - 0 - An integer indicating to which joint the joint faces are belonging to. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 705 - 1001 - 88 - 20 - - - 741 - 1011 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFDeconstructBeam - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 7f4e8008-e8f2-403e-9b90-f70c54660ee2 - 1 - d8dad82a-b3c1-48a3-829e-ad099a724cd4 - Group - Populate Geometry - - - - - - - - - - c8cb6a5c-2ffd-4095-ba2a-5c35015e09e4 - Populate Geometry - - - - - Populate generic geometry with points - true - e7d25370-cf19-4ee1-873f-5a10c08533b6 - Populate Geometry - Populate Geometry - - - - - - 1064 - 950 - 152 - 84 - - - 1136 - 992 - - - - - - Geometry to populate (curves, surfaces, breps and meshes only) - 9eb4f30b-95be-45fe-854b-6ac83f53d653 - Geometry - Geometry - false - 48b29f80-b320-4fe8-b3e5-35e426deedd2 - 1 - - - - - - 1066 - 952 - 55 - 20 - - - 1095 - 962 - - - - - - - - Number of points to add - 665cd70f-1a5b-4ea4-bad4-b3e802fe020d - Count - Count - false - 68edf5d1-aafe-4af6-8494-c1ce1ce7a4ac - 1 - - - - - - 1066 - 972 - 55 - 20 - - - 1095 - 982 - - - - - - 1 - - - - - 1 - {0} - - - - - 100 - - - - - - - - - - - Random seed for insertion - 01c9f1f8-87fc-44d6-b80d-bc6b7eba9929 - Seed - Seed - false - 0 - - - - - - 1066 - 992 - 55 - 20 - - - 1095 - 1002 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 1 - Optional pre-existing population - 0238238d-c185-4967-942d-a8ed534055c6 - Points - Points - true - 0 - - - - - - 1066 - 1012 - 55 - 20 - - - 1095 - 1022 - - - - - - - - 1 - Population of inserted points - 34c384bb-ad96-41aa-aa40-c0fc02e53c47 - Population - Population - false - 0 - - - - - - 1151 - 952 - 63 - 80 - - - 1182.5 - 992 - - - - - - - - - - - - 2835454d-dc77-459d-a4d4-8f66078d88ca - Point Cloud Attributes - - - - - Point Cloud Attributes - true - 29d2cdde-c97e-4392-a520-0658e9dbbecc - Point Cloud Attributes - Point Cloud Attributes - IOComponents, Version=8.11.24254.15001 - - - - - - 1386 - 862 - 143 - 124 - - - 1456 - 924 - - - - - - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - - - - - Point Cloud - 71d84e7d-f184-4437-81c9-a5ac2c2568e6 - Cloud - Cloud - true - 0 - - - - - - 1388 - 864 - 53 - 20 - - - 1416 - 874 - - - - - - - - 1 - The locations of the points in the point cloud - 7ea7b1b2-9152-42f5-8914-51ce3f62e817 - Locations - Locations - true - d7df5230-65ba-4f5c-9433-3d776e4e6caf - 1 - - - - - - 1388 - 884 - 53 - 20 - - - 1416 - 894 - - - - - - - - 1 - The normal vectors for the point cloud - b0953ee6-7b0f-403e-8269-7370608fe291 - Normals - Normals - true - 0 - - - - - - 1388 - 904 - 53 - 20 - - - 1416 - 914 - - - - - - - - 1 - The colours for the point cloud - d97bed8d-810c-47e7-9908-25a8c9c50624 - Colours - Colours - true - 0 - - - - - - 1388 - 924 - 53 - 20 - - - 1416 - 934 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - d64c46df-9bb6-49b4-ae83-8b6bb68c9282 - Extra - Extra - true - 0 - - - - - - 1388 - 944 - 53 - 20 - - - 1416 - 954 - - - - - - - - 1 - The visibility flags for the point cloud. - e0cac78c-f41b-40f0-9229-8f9304329fea - Hidden - Hidden - true - 0 - - - - - - 1388 - 964 - 53 - 20 - - - 1416 - 974 - - - - - - - - Point Cloud - 8cd6a5e5-a5f3-4ab9-8a76-ee155fc5d53a - Cloud - Cloud - false - 0 - - - - - - 1471 - 864 - 56 - 20 - - - 1499 - 874 - - - - - - - - 1 - The locations of the points in the point cloud - true - f58265fb-ad88-44ec-9e18-0bd40e8f84e6 - Locations - Locations - false - 0 - - - - - - 1471 - 884 - 56 - 20 - - - 1499 - 894 - - - - - - - - 1 - The normal vectors for the point cloud - c54723b6-4b2b-4d5a-bfca-6798f7d89cc9 - Normals - Normals - false - 0 - - - - - - 1471 - 904 - 56 - 20 - - - 1499 - 914 - - - - - - - - 1 - The colours for the point cloud - 388a729e-3f52-463c-92ab-019ddd5f8419 - Colours - Colours - false - 0 - - - - - - 1471 - 924 - 56 - 20 - - - 1499 - 934 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - abf33052-3714-46e5-90ea-1a93045db5d4 - Extra - Extra - false - 0 - - - - - - 1471 - 944 - 56 - 20 - - - 1499 - 954 - - - - - - - - 1 - The visibility flags for the point cloud. - 60c95dc4-95a1-43fa-8add-cd78c7b988b8 - Hidden - Hidden - false - 0 - - - - - - 1471 - 964 - 56 - 20 - - - 1499 - 974 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 68c3400a-a145-44a7-8d63-ce8f476dce25 - 1 - e802ed21-3c6b-452f-95f0-5e55d1ffe99a - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 6c91dd23-6c2c-4fb7-a92d-d1a47b6d71ee - 1 - 169b8674-2bf5-465d-a75e-761f1dd910d6 - Group - Text Split - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 20af7656-5e96-491b-abb7-6a5cfa3ec4fe - 1 - 9f0edc60-e645-4da5-bf03-f5cc05045851 - Group - List Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9d7d0582-192d-46c0-a61e-bcb7a1b3f075 - 1 - 387d100e-7163-4da1-929c-7cafa55153a3 - Group - Text Split - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 1655e2c5-34e9-4bc6-84c9-3ffbf04229aa - 1 - aa1b673c-cb84-4fcf-98d7-1cc464a2838a - Group - Null Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 0a20ee01-eddd-4f16-bca3-78bb78f97795 - 1 - 911ba51d-41eb-4094-976a-9f21790626e2 - Group - Deconstruct Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 1373521b-42b8-4efe-af1b-f32e8a11f5ca - 1 - ed541194-ee0a-47b6-bff5-0021195a0457 - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - d1c48f9d-1a87-4add-80bb-df846890e5ff - 1 - b681773f-e52e-45ec-bf83-1a1b98a2d537 - Group - Brep Closest Point - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - f8e72959-11b0-44e6-ac77-8855cb928f6c - 1 - ba370b75-fd99-4390-afed-f9fd922c171c - Group - Mesh - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - dcf3331a-c90f-4e8a-a2c1-81bd96e2ba99 - 1 - be1b8cc5-f081-4cc6-bcc8-7b1abc6824f1 - Group - Brep Closest Point - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - 2c7a2245-0c43-4541-a1d7-e3f47599bcdb - Move - Move - - - - - - 1631 - 758 - 164 - 44 - - - 1719 - 780 - - - - - - Base geometry - ae079af5-be7a-4697-91f3-06e161e3d2b3 - 1 - Geometry - Geometry - true - 8cd6a5e5-a5f3-4ab9-8a76-ee155fc5d53a - 1 - - - - - - 1633 - 760 - 71 - 20 - - - 1678 - 770 - - - - - - - - Translation vector - 35b59c10-efcf-4ca2-80c4-d7740755cf49 - Motion - Motion - false - a21f0834-9a15-4e91-bde3-5c0cb6417dcc - 1 - - - - - - 1633 - 780 - 71 - 20 - - - 1678 - 790 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - c08768c2-f016-472b-b915-844ed9e9efe8 - Geometry - Geometry - false - 0 - - - - - - 1734 - 760 - 59 - 20 - - - 1763.5 - 770 - - - - - - - - Transformation data - 91b63437-0e94-4b59-93e4-0bd35984c09b - Transform - Transform - false - 0 - - - - - - 1734 - 780 - 59 - 20 - - - 1763.5 - 790 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - faf0762c-5307-40db-a8d1-9c994a3c673a - 1 - 05212e0c-fb82-4f7a-bf5a-a0841ea58bd2 - Group - Unit Y - - - - - - - - - - 9103c240-a6a9-4223-9b42-dbd19bf38e2b - Unit Z - - - - - Unit vector parallel to the world {z} axis. - true - a09bd204-bd3e-434c-9ec0-c8efb4fb91b7 - Unit Z - Unit Z - - - - - - 1367 - 750 - 134 - 28 - - - 1421 - 764 - - - - - - Unit multiplication - b42b00b6-b35e-43d5-8b42-aadee1501313 - Factor - Factor - false - 55366bea-384d-4bd7-979c-411bb282be8b - 1 - - - - - - 1369 - 752 - 37 - 24 - - - 1389 - 764 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - World {z} vector - a21f0834-9a15-4e91-bde3-5c0cb6417dcc - Unit vector - Unit vector - false - 0 - - - - - - 1436 - 752 - 63 - 24 - - - 1467.5 - 764 - - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 55366bea-384d-4bd7-979c-411bb282be8b - Number Slider - Number Slider - false - 0 - - - - - - 1141 - 728 - 203 - 20 - - - 1141.5343 - 728.9353 - - - - - - 2 - 1 - 0 - 18 - 0 - 0 - 0.1 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 625e935c-693c-4890-9cfe-9935bd3a685c - 1 - f6bcb0d4-bded-44a0-949b-90774b52cc54 - Group - Point Cloud Attributes - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 5fcc7e8f-ab90-4384-9293-95547b90e7f2 - 1 - 5828df4d-7852-4378-8dca-1f9028368ba7 - Group - Mesh - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ea54cc90-830c-4bce-b831-ec3926a3d491 - 1 - ab7c8d29-c084-4e2a-a64d-45962173a5e0 - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 4261afb9-1fa1-48d1-b1e3-61d5d306d8a7 - 1 - be150bc5-97eb-4ecc-826e-4d395f6ea8de - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 66dc984c-4e16-4ac4-97fd-d3a55b08a3b7 - 1 - b2502409-aa40-4f20-b8ed-960cf90ad79b - Group - Relay - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - eb352c10-9b52-4998-83db-9c1efd04326f - 1 - b06d8135-0793-4de8-9f3b-6ff4ed961104 - Group - List Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 60f9596a-6c65-4e59-95e9-1bb22bbbb2b7 - 1 - 92dd0484-3f2e-466d-9c7b-4dfb81aece53 - Group - Mesh Explode - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 75857bfd-a847-484f-9748-85bba0bed3ae - 1 - 96fdbf3c-882e-414f-98ee-16f927183605 - Group - Face Normals - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - cc6b3320-a0d6-4949-a2a3-9bb37be4bfd7 - 1 - c6947f9e-6306-4af0-98f6-98612520358e - Group - Vector Display - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3f6c684c-c54e-4ec3-ae8c-a10c31a89086 - 1 - 1a962370-8b09-4acd-8bb1-151d1f7d0834 - Group - Amplitude - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - d9e0b204-c8da-4de4-b1d3-dc867626fada - 1 - 9a0e4731-4e8c-40fb-b0ba-38c4bbbf6033 - Group - Scale - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 739f1b2f-cb90-4b53-8ece-21b280a878a8 - 1 - c1a2c13e-fe61-489d-94a0-3fa01e2b735f - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 78071bf1-6d07-48d7-8a5e-009c257961b7 - 1 - 49743f49-eee3-4e60-aa55-3f7dfaa38172 - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 94fe7a6b-2b0f-4272-a175-393782538151 - 1 - 985ce8c0-0a0c-4666-aa1b-2cd222b2d2fe - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ae7806b3-a61d-4ced-8fc3-6474956c6267 - 1 - 081759ef-4780-42e8-964f-fcff4f76415b - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 42a0487a-8b79-4b25-8d9d-fe8d2652fe0c - 1 - b886dc0a-5f98-423e-883a-82531ddb8b17 - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - bd4b39f0-7f26-4d0c-8569-2328dd556e0d - 1 - 9506f2f9-e2f3-40fa-bcb2-5f83cd178c81 - Group - Scale - - - - - - - - - - 919e146f-30ae-4aae-be34-4d72f555e7da - Brep - - - - - Contains a collection of Breps (Boundary REPresentations) - true - 1 - b13290f8-66b4-4d01-9d70-c7a1cd96f5ea - Brep - Reciprocal - false - 0 - - - - - - 62 - 785 - 63 - 20 - - - 94.36035 - 795.125 - - - - - - 1 - - - - - 36 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7F0HeBXF9r/cm4QQAqQQUmgh9ACphM7dBQKISpGm9BqKQoBAFFEkFBEQAR+iggUFfaCIykNAELyhKKB0Qn0UCSKgiHQimOS/Z+8c7uZk55L9ePl/m3zz+74x7E655zdnd2bOOTOrpYTFYslVAH8BvlblP093HTEyeUybMaNHj0muH94zKWX8yDHJLZtExcZGxTWMS2gYFZsQExNbP7xN6qgJqSlJLZOTUiekDBpVP7xL6uBRI4c8kfRi9zHPJSW3TEiIi2sSm9S08ZDGCQkJ8TGe8CuBauNR7ZPGjE6akPJiVOuUpLEeyv2Szzt/x2dQypARI59Pih86utSYsUnJyakpg8d7DB00YRAU8vb2toKIfrUtljjl71sz/HxL2ZR/lIP/dPvVYrHem2K1tFf+Abifa7WUZ9TabBtzLXK5d7sPjq84tGNfZKM6OV80+0fJL8fKxlnSLPLlJ50XfgOV/4C40NoWS/7WQv2/6v9U6Qx/R47Fb3qJiGuPh70YDK29yvL9QEoA/MV/u3BNynfLed9B72jrHupbZ/X8luel/O258vD660nxjXOnWNPw2nRkKvk3bHe3zyWVDBUer7HMqiO9fjc1Ga1m8gpfR85LuI78751JH5qaTBWNZqjweO1z4MDBxkdryblbOh40JZlSTEAUXKsZFJ5q6uTZH7eZkkzWvNH9JnapKSMpLRnMo+SujW70ninJ/NbR5/K3P1WXUXAtmYssj5Lbu3ZhE1OSOeK7YsLfiREyktKSwTxKbsHX4TdMSWb7z20szRzhMgquJYN5lNymKW3jTElmSNDW4NspVWQUXEsG8yi5u+2upJqSjLzwXtTzwyvKKLiWDOZRcpNrby1pSjLO4TZERsHzT5ohD8hgmbDWfZqbkswddYQKYvNMiM7QHETmmRB5w7pL5pw0M9SXOkBGUvlHswAyNAfJ/hGn5pqSzGD1PSgrI6n8A0BZMpoFyN+N+lctU5JxPjreMpLK/854kwGgrHxneYlYU5Jx9raVvTPeOo+Zlbwz3vL3y669YEoyTgGzHgieXzNZEiX3XNlPy5uYzKUHgucnc+kBGSyT9O7AQ6Yk46NjAiCQDK33Q4n/+JuSDK6EkVR+MlkSJTftSoPppiRzUccEQOA7Qsndjs+ob0oyuBJGUvk14y1Tctd6d/+8yJgACJxXKLkaezdvLTImAAJnfEpubanJo4qMCYDAtRgl98of1zOKjAmAwDxK7sia1Z6mJJOlYwIgkCAlJwedH2dKMvjoIKn8A0AVmZL7anyShynJDGMvNZLStoeDAiXn+1evSqYk43TLestIKv9oFiFTcmvqR280JZmjbCJEUtr2cCKl5Ga+syrGlGScJLIkJJV/aK4pU3IH+wd5mZjMJQlJadvDxSclV/F0349NScZd5EzfnrkkfbB1bK4pyTBBMS9Nzzij5H4eUOmMKck8XDMusxmvM+b7v1dENUONsyxpmv/kTaYk404z1DuD1zPXhmwqcpqhliZeH2gwwZyP2cPfGZcTEK9XvRExp4i+My6zGa+zAzutMiUZd5qhvma8fruxvXGR0wz1AeB1+mddK5iSzMNHM1dIA6/3Z794poiOZi6HBl4vHhJkzuWMO83QyBleP3vtX0eLnGaodwavWyTn3DUlmYfPM64ALV5nbm9ztYjOMy5XE15/0y96vynJuNMM3QeA18daxVYtcpqhfjO8nnq2n92UZB6+AnBtN8Hrsy8O6FZEVwAuJyBez74Yn2JKMu40Q3c14fXgNXX2FznNUI8mXjeMTjTn0PzwtZlr8xxel48+mVJE12Yu9yxet16z3pwDgDvN0D2aeH1gWubiIqcZ6mvG65mV5n1rSjIPXzW7tgLj9ZqI2ElFdNXscpzj9cXN/fqYkow7zdAd53g9d8SPc4ucZmgUAK9P3vl8dZHbCISoFr2r58bXXI6N2YdXP2tKMr4qmUbyorHWucGLGzvJbCn/z4zsDx3pKxYu2lxmd772/Oq+1sCUZKZHLw1+JrCRjKTg3rcb6tdokn3eIY/rMtV6YpNEyXW4nVDKlGTuqSNUgoyk4F6d33cMmzVeeY/Stgd86xnhoOTmjknpa0oy4642X/7uGw1lJAX3Pnlj04bIEUr5j84sDX61vYOS63P1uadMSeaSOqvHy0gK7h3YZJs0UyFzLWXn1WH/zZQouWX+R26bksyA1cejTpSMl5EU3Bu6d+ZzHm/clMae++/I7SczJUqupPeWBFOScYbM42QkpQ7XC2LX+7a5KR1YEl0mYupJiZL77toT5jym1XFU6qbQabEykoJ7X64d93Gn7f9IC5Z9OOWzHUclSq7sJzeampLMDtV6jJGRFNy74h19zLN6thTiGLjWeiZTouS2zZxuzgHg+Z415n6TFS0jKbh3pn+fps3GeMlNeh96eurZTImSe/xs7UumJDNU9bhEyUgK7lVKu1nXf42XHHPUY9fQAQclSm6zz6hppiTTNaPf8oQ/68tICu61GXLkk4zxpWW5VURghxZHJEruVNZX5gxpOL2U9WQkBfc2dBm044q9tLygybs9tymPFSXnt3Xfc6YkE9X1nU3rz9VlezTrOQeAxpunv66skj/a5hP+2LlMiZKb5T3vnCnJ4NIfSVl1lvyUnCN6aytTkkFU0zmojfjg5GupB5aUeUBuuU9G96JjnKWF/xg558/v00ePrg6aoPUeP/7Li0XmlMb6jet6blt9WJqY2r/qlFMKGUKuWsJKnyJzSmNmwpptX1Y4JKUF9TwWcuGIRMn1fyv9hyJzSqPpm3u+CKhyRQq/cyzM23JIouSWfFx2fZE5pdF+UdMhVyv+KTWJPdb3OWXGp+Q+HZE2scic0lh2Zf4nQRNypI+ue447eTpTouTuj2/Wqcic0tgc4f/H4eM5UnitM5HT6x2VKLnFsS/vKjKnNHq+mTUypr6H/NGiur7175yQKLkFrdu9UmROaVwfNPBkOy8Peex5z0Sf85kSJbe6S3JUkTml8fzMqM/O9wuUH6s8e2zTzEyJkrOf9VlnSjJJOqc0Rrfd2/eiQsZiCdk2JbKKRMmd/LDbYVOSwa2KSAru/dBh7kdfNveXLeH+3/S5016i5EpPnGPOw0AZOge1LzzzS+3lnf1l+VzY86WmOyRKrnbibHOeba6Gu8g1pzT6/BEV/sdpZZUsr+wzbMDPEiVX9sB1cy40cemPpKw6S35KbuiWKgO1ZCK/WvoFfPTsxSgmYIyGYeUSBWd4ARnCR9gA8EE3j0dg6KVfUAVGoehf+L33Fi8OnX/yjrR3z549VVva5OHDhv12b/VxR42IiGXzV9yWEhMTd/iH2eSePXoceWlrhuOLzz+PXDDhlrT5u+++s921ym2V/H8yDjgaxsevXdDqphSv/L192ArtDLt/YLcjrtFS3U937bUUvLMW0c4qrI+q8Ujg/SVKZ50J9VQfl8e6ORzf3Vy5x5TkmGWYzoyqdKsbTSukFrezespAul9DiwzXq8P/kmad8llgSnJ65q9C6snUaTYZyEUMz1VJ5kTflHga3TVzQl1TkuN9tCDtbRtoJrRdsgVIPintvinxSL9esV4zU5LTM4/hcZse7qmSyI7OBY3F3yl/V+KRnnBz9glTktMzl0H4wUGe6jv16/AcCd7BzK13JB7p0cfqzjMlOc5HDtKiIr3U0fCdDdkSvFvJCX9LPNIba0YOMCU5zkcPVHIwSq6tVkIdOHpNuifxSH/TJcFhSnJ65jVoaPQzFpXUP1nOUbHqvN8lHumWqaEzTElOz9wG4UcOtYCG0l59zOqcz2y/SzzSSz+Z/IEpyemZ3zBQLFmXrc5nL71uhUk7fu3uTIlH+rdTm0NNSU7PHAehF76drWrK+wXn0H9+xnmJR3qZ4+svTEluiI55DkN9qSlZ6tCf3NZDHUD+/mW/xCO9cd6V301JDi1bJIlry5e6Z6mPYWyATQaN9fl1l8Qj/VpUj3qmJKf3nTUgNVO6rY6Os3+yqe9Y+VYLHDzSb1f33WRKcnrfXYNl1cZBt9W15KTtTg1NvPG+xCPdJPvHciYml/c7bDy7jUd659lpA8xMLs/eUrTn4LHznu6pPn6dlxx28Oy8SosrlDQxuSwHksTRslGKc+C43MpJbsWOXQ4e6VLf/jbZlOTYu5aOJNmAMizxKfX7BmmNunmok3V47D4Hj7T1jdBFpiTHRsl0JIkrlPHD76vvVtAS9fEbVvncYgePdMXWuVVMSY7Nb0xz3io50NCcBSq5PaeVgQPI9pLel3ikrYl/dDQlObYySUeSSO5Gb+cCOeymOp+tfa3iCYlH+pPeTcxprLI1JXssA1RyCtKk51Ryv4XmWFXLe/M7xyQe6e6dK7c0JTlmDaQjSbgH6+H0WyVUH8mf36mr/9B4L/V/DqFLunKTfu+bkhyz49g7F6KSAzIvX3KSO57qXIlkLD4v8Uj/MC+0jynJMQs8HUniCmX1nZLqCuTMnBLq33uz7ko80mXismuZkhzznbABpUoecjBg/DHb6Qgql6hO3rqk/aZtPWhKcszrlY4kcbQMXuSlzmN+z+XC4xg/PMLpcdYjfSznvVumJMf8lWy0jHgwiduWOb1c4ZEWdVQMnq56nHVJlz7bOMqU5JinOR1JopshN1gNeMQPt6jv2J6Bja9JPNJB+6ZuNSU5jO4gSSSnF83hkd6THqUbri3SwUxqHWAwc5USvLw3wBOClokf9dn/IJhZPSIi4koLTxn+Lpu2kxvv8x77/b5i01k8awP6YMMoNQCTtkN5YpS+Svz8/e8dE1944YUmw++oHu+lf3rI7ZT7vgNXcI3pr69MrVVsOotnvQT4+7/Z+wlnZ62o6SH7+/u3qrZvhwPC42Pb3lHvh2TZZKXcwTZH1zt4bpU13vVuF5vO4llDCpe08EHOGMruUTZ5kvJEhS1YKe1XnsS9vf9Wp87Jkg068eAgb4fEc7DdaF8/pNh0Fs+6Ul7DiHVz7qkbLb5d7CHPmTVr1tnbGyV4Dc/O+BvGss8XjvGQlWKDb43+ketq7T24amSx6iw9a+3a1atXJ6zKhc65+/1u55PSPv20BAO9x8c50myl84Z8pDrXe02PO8d1ur/UaWHxebJ41p/yevnP+jlXnQ0vHLPC1p4et+VT6hP3ZnqO9NfVq8lfr7HKyt+rFVJ/4YZf+o1osrLYdBbPmoTO6DSmhHzm9Ol+qYvU/U6Ja3pfUDvv1GULdFJydrLaWcnRX13kBuJ2j7mZVWw6i2edwmawakNKyDA2NX3SuTGl9R8X1E7cedoiK6+h93sRztdtTYtL3JDsteqbvi42ncWzdmGsatCvpAx/9w93rshDZ2TBgN/8y+1e6uu3NbGE+gQ1nfI3Nzj/+ZFXLxe7zqLWM3YWjFH72+RIZ0+fPh0l3X3QWcr6yn9tdjas5Jd1apbF3abx368iqxSbzuJZ47AojQly3v+ivHOgX/D0LQkG+g6LnBtzHvs+RzV7Ns69zd2wI3VbV6HYdBbPuodOmV7N2VkZN5xbsTasvaWus2wfO82ikW+q99f2/PU2d+vWiF8cPsWms3jeAliMTnlHXVymrdnv3JRnGXFdUmbH07kVPNRy9z9U7+9Z+u4N7ia+sgMvvlmsOkvP5QKvXc9pHupAnlzK2SnzfnB2YpLVQ1YevB6WLc5tmz/eu87dzjk7969T2s5abT99FDahr63EOiBA04OLdXoweNfA9uc1PbiqzrzvoQcHldDpQXAi4d//z57U29nr7aZ3l3DC3Lxer87Z0M7TBm+ju9GdxjWvPynrPepFWlEI3HTBFMXbX67rlOMppPpDnHVUIQ9z4hV0M/9bj+8ofoqiu2K0iqIK4TkEeQrhOQp5CuE5EI3u0nnltZTsYqoo194sUBRPITxnJE8hPCclTyE856XRvWIdwtaXL3aKojsEQVE8hfAcoTyF8BykPIXs4zhOeQpZwnGoRr/204Jipyi6TxUUxVMIzwnLUwjPOctTCM9py1MIz5kbN3zK9GKnKLpbGoc+PYXwHMA8hfAcwzyF8BzGRndvn2zebWyxUxTds4+K0lMIz/nMUwjPKc1TCM9ZbfQMwYaVDQcXO0XRkyOgKJ5CeI5vnkJ4DnGeQniOcqMnWU7F+L9V7BRFzy+BongK4TndeQrhOeN5CuE56Y2ep1p/enZmsVMUPUWHdpSeQngOf55CeIEAnkJ4AQKjp/qO1fj6aLFTFD3LyVZ9ugqhwYYlJNhAFUKDEGdIEIIq5GHBiYKeLf2hesj2YqcoeqJYqyiqEF6gg6cQXgCEpxAaGIlggRGeQmjAZAkLmMx8Iiyy2CmKnmv3dr/5VTfI4i4ipRd84SnETVBGVyG8YI1t8NQOxU5R9OsKaPDqKYQX4OEphBf44SmEFxAy+rWHGJ/NMcVOUfQbHxjm0FMIL/zBUwgv/MFTCC/8wVMIL/yxv/8B3Tkq25JfUWczjnVqf/mwv+OCU1Hjjx2/C4r6geX7836kQlqa7c/1vzpGDU3oMLzxT9LGe73u9n/louPQtHodttQIdXxxv8vwVw9dldqeW975XPxB6WjHSbLX0EtS2NtVnjrS/kfp8vyg/e/dPO/g3V9h3/7YGPtdx6J/W7sfj7ru8Ph0Z5vM38vKL+Ws2hp381XHjUl1P42PPy+9peafY/k5kp+an+q4r+Yfll4KXSr9zzqDF1f5+f2tZZXOkBKOJIQcafGTo91bs25lT74obeje5Hq7qGv2Wa9PfLm50hmNlt233Ew4KK0ZEthMIe2Y0Xn5UIW0o/PAuUcU0tz7O8ssbLH1zn3p6K+lE+//vNIx3sNv2UvzA+WXyn/Z/tykGY5t79XYfbvheemAmv+uY4Kab5OfUPMnsPzDUsnaV/OcXswZ9pcE4cvZ7PXxC2cZvIOr2i3zEOrU9iovyGPTlIF/rxkQkukxpbMdjzzrPV1QzsaGhWjN72Bbeq8DlvdUEnwT7IOJe3/7ce8LdowL604+rDzwb6Ck66Xq/TJ7+Mt2uMfbimFj5Usqqb6S4ndV+m/VuX3srA91Vyk2Vh6Gl3pKWl/t732DSk6wl9TUoUtQGytfSkmRmj5Ae0fPvrCx8j5KqqukHfaVNWNGp9rhHs94tLHypZVUR0lPnvw5tdevbexwj+cZsLHyvkqqraQpS75vZP10iB3u8dw+Nla+jJJqKenKmm0fZ6aMs8M9nk/PxsqXVVJNJTXd/UtEYotn7XCPtyXZxsqXU1INeN4S/tM53neYHe7xvPE2Vt5PSdWVtHld7/j+q7rY4R4v1GJj5f2VFKGkmMlZx/4u+6wd7vHiaDZWHt6Fahqd+rs5MWFj71ogq9Nj1edeAVI3e4CbsJSNlS/PZPv1YMSE2JTO9kA3ERIbKx/E+qCt7/jZ6+ZL9vJunPU2Vr4C6+uX3z/xTMNxs+xBbvzGNlY+mOk0uUWVV/ovmWav4MaFaWPlQ9izE7lsSl+vilPtcI/nTbOx8qHsGb0cHHO7U49+9hA3jh0bKx/G3gX71B2bS9/rbA9142OwsfIV2TuHCHNj7tpY+Urs3fbK6NZp3eKR9opu9t3ZWPnKbAxBVHJjBNhY+SpsrIo7GOLx5k8J9spu1qM2Vr4qGxOPDXz17ZkXE+xV3CyNbKx8OBt7tzaq1GDgAZsd7vGWTTZW3srG+Dl1l6xskPuUPXDrsS3qpAQvOX7YUQ+4jrOwFwrXj1Y3ZaEcW4O6OpAF5uG+H6sP/+6spBYf3N1/53nJTstqz4zRL/zBvaosH0h2UVJQg7hhC++1stOyONFZOB/TQ14wickaeWhZ7YYruqaF9lFemNhaKWn7p7njv9453E7LQj4ki44RA+1jWzDZtVbSB/e/atJu4Cg7LeulWZNTq9VTs96HCbCNph1aFvLZJJnPTQHte7J2YFJMVNJT99+Y1to61K7n0mCu93x+KWjfi7UDE2VbTTu0LORDsnAckdCWun1KSe2UVLf/5KfXDU+y07KQ75Pn+XF5nqF9b9YOTKjtNe3QspBfOo/eXaEGaL8Uawcm2ceU9OamzIB/lnaz07KQ75tHX67YErTvw9qBd7ID9NHMZ+VRyYPstCzks/c2XzAR2i/N2oHJ+HFNO7Qs5JfN0z+u6DG078vagQn6CXhPxgycPC+ht52WhfxyeXi5tgtA+2VYO/DeP6mkq5svHp3v1dNOy0K+Xx55XPtDoP2yrB2YyDsqaef7n+zs7I3yuMpCvn+edlwbgqD9cprFdad87bjKBmgW4PSLNNg+tAMT/lNKuue17VbNZm3stCzkB+bl9eDjL9C+P2sHFgFd87XjKgv5aEbR76xA+wGsHVgYdIPfvLrxs1rPSnZaFvKD8ur9wSdNoP1A1g4sFrorqV35vmG3np1op2Uhv0Le5/DB10Og/fKsHVhA9NC0Q8tCPltk5PtQB7QfxNqBRUVPJYWNf/z19xel2GlZyIdk0fkmBrRfgbUDC42nldSi26jx/64wzk7LQn5onv5xfX4C2g9m7cDi4xklnbX89Mq+jh3ttCzkQ7LofOkB2g9h7cCCpJeS2t61NjxzXbLTspBfMU8/uz6qAO1DW2p0TUm9lbQs5a3mdRf2stOykM/20Ob7fgG0H8bagYVLH007tCzkV86jL9enAqD9iqwdWMz0VZJtRlL3nB017bQs5EOy6JzKh/YrsXZgnu+nJPu7x165cq6mnZaF/Kp59O46AA/tV2btwEKov6YdWhby0TinZ82h/SqsHTAQBmjWG7RsNWJ4aNdG/pr1TwQzAiycspAfwckL0IxjNdgin9dOdZ3fwbxAzbhaiy3iee3A79Tg5JXXjPN1yCKdlq2pIy/mBWnmnUiyCKdlQd5anLwKmnmwPltk89qprcMb84I183IUcZTQssC7DicvRLNOgLV2rJt26ur0H+aFatYtcUqKd9NOJHFqaPPCNOuohkpKcNNOPR09YF5FzbqukZIau2kH9FCfk1dJs85soqSmbtppoKNPzKusWfc2U1JzN+2APqM4eVU06/AWSmrppp1onecC89BGgQQGjuTueb6/2kc1ytjD4TfQTWG8RkMLDRhqeLmrW1BQg05rzKFBhzJ4PkQGrGtUBvoBEWqY4l80nCyF0A9aQxJQhfzf1XASQqPUHbCuURnQCC1FjFN8WLXPAxqZFLTuw37zUOX4D7dkXcjFv2jAoiGK7WmNV60MaBxoQesalQGN39+IUYyGr9aL7qkxdLSgdY3KgIYzGsDYHhrNHkQGNNq0oHWNyoBGNzXG0eD2JDKgAaoFrWtUBjTY9TajoBxaGdCY1oLWNSoDGvvUCYCGfkkiAzoGtKB1jcqAjgLqQEAngTeRAZ0cWtC6RmVAJ8Md4nxAB0MpIgPKpAWta1QGdFA4/z86ATK2h84JHyID6kYLWteoDOjcGMycFNgeOjZKExn05gxa16gM6BhBBwe2h04RXyKD3nhN6xqVAZ0q1NmCDpUyRIb8J0rz1zUqAzpkqKMGnTFliQx6cyeta1QGdOZQJw8aZOWIDHoOblrXqAzoCKKOZXQCWcj6QW8dResalQGdSNQpjQ4krWNLO5drQesalQEdUNShjc6nACKD3vNA6xqVAZ1X1BmOjqtAIgP/vXDVNSoDOr7o/ItOr/JEBs9CmLvRaUbnX3SYBREZvAph7kaHG51/0dlWgchQshDmbnTW0fkXHXXBRAbvQpi70dFHAwfo5AshMuitH2hdozKgk5AGHdBBGEpk0FtH0bpGZUAH4zASsEDnYhiRQW89SesalQGdk047zVvG9tAxWZHIoLeupnWNyoCOzaNszsP20KlZicigZ1/QukZlQKeos36WhO2hQ7QykUHPzqJ1jcqADlW0mbE9kAvl0MqgZ2/SukZloM5Y9CGAXLiGsLjdaJm/rlEZ0JHL6j8IMFXT7JLR+kD01g+0rlEZqBNY66xGp7S2H2yF0A/oQKZcItjvB5B+sBZCP1Dns9bZjk51bT/orR9oXaMyoOOacqnOfj+Q9IOtEPqBOr21wQIMCmj7geeT0tY1KgM6zCmXGuz3y5N+8CiEfqDOdm2wA4Ma2n4oyGZqozKgo55yqcl+P4j0g2ch9AN18muDNRiU0faD3lqO1jUqAwYIKJda7PcrkH7wKoR+oMEFbbAJg0raftBbT9K6RmXAwATlUpv9fjDph5KF0A8Q7IrhBMswKKbtB701La1rVAaIp8TqcKnDfi+E9IN3IfQDBOvidLjAuIVBPW0/6K2raV2jMkCwMF6HS132+6GkH0oVQj9AsLGhDhcYOzEoqe0HvbU9rWtUBgh2JuhwiWS/H0b6wacQ+gGCpY10uMD4jUFVbT/o2Re0rlEZIFjbWIdLPfb7FUk/lC6EfoBgbxMdLjCHYFBY2w96Ng6ta1QGCDY31eFSn/1+JdIPvoXQDxCsbqbDBeYxDGpr+0HPzqJ1jcoAwfLmOlwasN+sTPqhTCH0AwTbW+hwgbkUg/LaftCz9WhdozJAsL+lDheQAXdua/uhbCH0A2wWsOtwgfkcNxVo+8FSCP0AFSQdLtGajVnafihXCP0AzgJZx++tF+/GTab/a585bOaG5Ku200heNNY6N3hxY914t4UjA61rVAbYCA5pevTS4GcCG8nYnl68mycDrWtUBthEDume6tdLkLE9vXg3TwZa16gMsAEd0rirzZe/+0ZDGdvTi3fzZKB1jcoAm9chXVL9/vEytqcX7+bJQOsalQE2vkMasPp41ImS8TK2pxfv5slA6xqVATbNQ3L69eJkbE8v3s2TgdY1KgNsuIfUcVTqptBpsTK2pxfv5slA6xqVATbrQ9qhxj9iZGxPL97Nk4HWNSoDbPSH9HzPGnO/yYqWsT29eDdPBlrXqAxwSADSUNXfHSVje3rxbp4MtK5RGeCAAaSuGf2WJ/xZX8b29OLdPBloXaMywOEESM44UD0Z29OLd/NkoHWNygAHGyBFdX1n0/pzdVlMqp6sF+/myUDrGpUBDndBwnkX29PbN8iTgdY1KgMcDIOEqOZmz56VxOEpsK5RGeBwyFMFjPtbODI86hoGDpZ0LWDcnyfDo8b94VBKtwLG/XkyPGrcHw60dC9g3J8nw6PG/eEwTI8Cxv15Mjxq3B8O0vQsYNyfJ8Ojxv3hEM7TBYz782R41Lg/HOB5poBxf54Mjxr3h8M/vQoY9+fJ8Khxfzg41LuAcX+eDI8a94dDR5CSChD358lA6xqVAQ4sQcK9bklu4v48GWhdozLAYSdIGWTfnV7cnycDrWtUBjgo1f/BnJclZbiJ+/NkoHWNygCHrAZo5t1qbuL+7mVw1TUqw4tPD2wFhzI+s2r+7xMWZuzaNcF+7Ya9Eux+oOYagrK48EGnDX46AtqsqcnDDWcwCNdgxGprPu+CAWUYIGuxhVNdze+iMQ6DVx222KvH8nGzqwcbWCLZgrQBy8dAkAd76euzRXM0y8dPrHiwFzKKLexjWT5+TsWDvSwxzPiIZ/n46RQP9iDHsesElo+fSUGHY0NWpzHLx0+ieLAHoBH7zaYsHz9/4sEekiZM5uYsHz91AvnhzOnqxRx+JTSfNYH8aswZCX0msXz8hAkkmS1wO7EF/5PMAHqcGYSPMQO5HXMYJDIHSmvmUMJFMC7Ku7AHvj8bAPqyAbE3myCeYRNmT7aA6M4WVF3ZArMEa+vLoXU/hIf2BHto/fGh1dsRgg8lPeWD3jV68gYfdLozE08f0d0OeCKI7nDGHSo0AltS86BpI5LemgdMG6ErpXmwtBErH80DpY3glNY8SNqIhq/mAdJ6+MtoHhytx7us5oHReoDLaR4UrUfUT6Nw/LdFs2sHd0m7Oz0l4MLlPzofXtKjXeXWJW5KZ6Nujp4xP1uSkjOHtbt4wnHx26mNdlXwlq0XRtxIfMdTXpHV/Wff3ffUD3HhqjI/Ou6vOPzhJUA/oTua5vnor7sopYCAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIDA/wT/BwAA//8DAA== - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7H0HeBVF9/5NbgKhhlBCQg0lGKqEJHTuLhAMTaSDIJ1EQJqhSkdEQbCAiB8iRT/soCDYQLwBQZoovUgPRRSFhJbQf3v2ziHDycyFffzyfzb5z/s8Y9idmXPPO7M7O3POmdHh43A47hmAv4D8vsZ/urQfMHDosKbDhgwZNrRaWOf4xBEDhw1tVLdGZGSNWtG1YqJrRMbUrBlZLazpqMEjRyXGNxoaP2pkYp/B1cLajuo7eGC/VvEvdBz2XPzQRjExtWrVjYyvV6dfnZiYmKia/vArRUzhNeLihw2JH5n4Qo0mifHD/Yz7uUd7fidvn8R+AwaOjo/qPyTPsOHxQ4eOSuw7wq9/n5F9oFBAQIAvqFjoMYejlvF33kuF8udxGv8IhP+MKOXj8L052dfxrPEPwK17vo6ijFrTjcNSqvw34IlFhz7es+nXKrUj7i6vf9vIf5yVreWY4tDL9fYULjTW+A/cB2nrmQReWmjQlz3b5dsX5L7rKDTNp3xKyxIvFAdp01l+IdASAH/x3xlI0TLd8tx30zt83WsL8jZb+dRpLbO8jDy8vjrv9n/uTfadgte2IxNf81Dz/ZfOm2So8njdj5X5YWq732xNhu8Z/PeEhgUXbq/6uI5l8Dq8XuCHtibTi+sZqjxej/5+yhM736uuJ33Wq6ItyaCCqDjfM5hHe6p2lTz3bElmeO0rqb8VqKaj4jwZzKPkqr6/7i1bkhm0On7RnklVdFScJ4N5lFyJK9tK2JKMZ4SK0FFxngzmUXIfr/hqvy3JdF/R8urB3o/pqDhPpgfLo+RiXxjta0synausX/L77nAdSfFkurA8Sm5m8YM/2ZLMUx8/3upYk4o6kuLJtGV5lNyzW/uusSWZFhU/uH5idXkdSfFkWrI8Sq7d4E++tCWZpu8X/SC5YjkdSfFkYlkeJbduYY2rtiQz3vwQltWRVObpTFmdksu387WNtiQzxPx2lNKRFE9mGMuj5L4JWnnYlmT6mMNtiI6kMn9nQnRKrnGJ3FNtScYzQhXTkVTmobkY+c6E6P8UGDrWlmRamy91YR0VzzyaFSZDczG9Wr7Os2xJZpL5HgTqSCrzABBIRrPC+nPb8m+1JZn+5qMToCOpzO9MABkAAvUVQ6qF2pJMK7O1fXUklfkx8yXvTIC+JFf99bYk41n7p2tIKnPPpGuUXOEiuwNsTOa8hqQykzmvUXILFzq/yjbLZgSSofWC54/5zpZkhgmWzQ+SSdcouaeapL5hSzK4ekRSvDx8Ryi5jUcaPZttls0PKh+gU3J1R/9nhC3J9BQsmxH4XaHkorvP3mNLMrjCRFKZH7PCxKIZqL96ZdgwW5JpK1g2I3AuRsm1Hp2SZEsyuHpEUpnfmRCdkrs3fsJIW5LB1SOS4uXh+oWSy+8zbIktyeDqEUllHgDK6pTcghr7j9iSDCqIivPykCAl13LXrLa2JIOPDpLKPJqV1ym5pj1LDLIlGXypkRQvDwcFSq5e7u9r2JJMC8GyGYEWTEru1dIbPrclmVHsQ4ikeHloW6bkWjUuEG9LMj3ZFAVJZf7OROiUXMyrHwy0JZk4NnlEUrw8nHxSctffLhdnSzIex2y6hqR4eegpo+SeLRy12sZkzmtIipeHCzZK7vK+xDO2JOMtQkNsAziv5fv8/Sq2JMMUxbwpIoMGJffD8g8ftyWZh/dMhqkJr5ucTWqTTXuGGjQMcsmbWtmSjLeeoRZNvO6VGrct2/UMtc7g9fnrTX+xJZmHvzMZhnO8bvTHlV7Z9J3JMDXh9asn07rZkoy3nqH+GbzempY2J9v1DLWb4fXklCvzbEnm4aNZhhsQr4PdlVZk09EswwiI1+9/V/4TW5Lx1jPU24zXnzYNXJzteoZaNPG6TGy+hbYk8/DvTEZQA16P/HRug2z6nckwz+L1T1/Md9mSjLeeobEzeB0XNHl9tusZamvG65Tg8fb0aT58BpARooXXU7+ffy2bzgAyDOd4XfvHuSm2JOOtZ2gkIF63qze3brbrGeoFwOtzrvmNbEnm4XOzjIBTvN45ZLpPNp2bZbg08HrcoKl+tiTjrWdoXDNehxc81zHb9Qz1z+D13DzJ7WxJ5uGz5ozwebxOnLO8VjadNWc4m/B68/xP6tiSjLeeobs08DqxR9Ens13PUM8ZXm/uVqi5Lck8fD2TsRkIr78cH/lONl3PZLgB8TpkQsxcW5Lx1jN0zxledwrt8Fq26xnq08Tr5DJdZtiSjLeeoVsb8frSvHoR2a5nqIMWr7u+1ai6Lcl46xm6gxavA87WLZLteoZ6m/Handww2JZkUMHxgiBtxOCPfq3dv9RJQ+7FpEvnCrunzY4YY0syo0wyjfT0cVtSWvV3eciMvnTyyzLTNEf+xuX2bPo0k7z8XU/ftCWZy2n13muzv6GOpODextRjzpDZye6wqfuGHy2wWaPklvzRzZ77NIeaI1RDHUnBvbCU12YUnQXvUdT7W+5V1Si5mGfGNrMlmQsjl8e1e6KBjqTg3vK3+gw9PLpoEpKh5AZXHBpiSzIDzK96fR1JmWSWzf6w5fyiSVO+7nntw4GbNEpu5JOV7TmdOZNa5kqHb+vpSAruXfFNGjPxanCSQ1+WeGT3xxoldypm8CRbkulrzoTr6kgK7iXva+la/5dBJqlQdLcWLTRKbu2PfaJsSebE0DmLO0fU1ZEU3It9q1VkUFyo8Vhte/vNYUFuSu6d55sE2ZLMM+bqsY6OpODem28VCgEyAY2PjPnhZLJGyS06Pau0LckcvuBs+fSC2jqSgnstW26plHYyMOk7PXbB6VPJGiV37ZsP7LmxwbM7I0ZHUuZotu7HHbGpgUm7OtbfFLjslEbJNV9/d4ctyewdMPpa97wxbMtJjEkmcE/7KmEN8iUllf91x44bRzRKrrM2z57Rsx4rZbSOpOBevfHLdue/nTcpZNaRdX6nkzVK7pvZJ4/ZkszOs+eX9hwfxfbPRJtkWv/z4Yop4b5JbfdPfL2/QYaSqx+ZtsyWZDyW/Vo6koJ7a6t9GLPvH5+ksFdvhLUfd1Sj5MJ/jLOn63xL3+6t+/wdyTYD1TLJ7LiSK+pY35vu79LHXB75+ymNkkv57FN7HtXi8YZF6kgK7rWoU+6I37ib7rFdm+ydfSZZo+TKtPnOnocbbDixM61fj5psZ5OHzL7WowbGGyvLmv1+OL7S+K5Qcvs673zPlmRwuYykfAXLZEouf5M2s21JBtFbcFgbolp08I6hK05rjqRljVY/49Ka9+wwO/vsOp8Su6v0H8HalG+2JsQZX3xab2OjbW9km8Pa+n8480au5r561y7f9x93zCBDyB37bVLebHNY2+km1TbkjfLVIzocXNay1CmNkpv7SWqPbLPr/Ppi7W7plFz68CXnHMGpv2uU3OYlne159GQPwa7zzSe6hk+vmVsv1G36+LlHkjVKbvTGs3be2hiuIylzOjN29/HW5wP1/1yI6H7jaLJGyZ0Our7LlmTQt4+k4F5Jx0s9BgUW0nclh3w9VTumUXIzZ+5/PdvsOi846Nxf4YMK60uD2v/5T6tkjZLb/V3DBdlm1/mu408M1hMK6+e3Vdi/1/jiU3Jpc8ZFZ5td5/7zCry7pmVJPeyv/FV9DydrlNytnvnteVjbcMGu85aTXlm5yCDjWDn9q1mz2ropuSZnXwu0JRnPGU0h7KPp2XU+eGruv4sNC9UdevzB45/XdlNyyX0vhNmSTFcWRY6k4F61/5aKnjLSIJP/2IqvT8/XKLlt77iO25IMblZAUnDPeenHTe2Ci+thh46kzey4QaPk3jkSaM+PJu6JQVJwT3tz6ZYDN4MNX+bdmAZJpd2U3PwXBvS1JRk81wxJwb2Kd2u99cWiKxqSoeSeOFTEnvFmzQWHtSXMXnr6WL4rWpKjyis31m/RKLnlEVX62ZKMZ4WZriEpuPfz9fLx/tppLemDTa36NP9Ko+RifnbY84hjXC4jKV/BMpmS6zKtxAMHTx2YfPcz+J8FFKvPFGzIMSzt8+gMzyJD+J8XAOB/hOD3LxjmEhc0gdEO9C/8XlRU1Oqfdp8EeVOmdfoefm/KhKpO/ZiBKzuOuj8zsPfTj7XY2NhNXZ536p07derU++pBd3Pj752149wzZ8wIiPrWqe/8xUCpvaZeb3X9wm1cty54xyjvfK6U6HHY6Xj0xnqbNtb/0oqC29jhnowE3oe/zx/4Xos2Wq1Xur/edOTljrYkx6wpScwQkeTrpaefTUhI2Ba03w35vQru1d5dsCD0REVfvfTSE9dtSU52UOHryza4DeUXvD5mrWaQifomXP5Ynjjx9C+2JCcyIUEPNcm10Q2P3dTI9WbP3ero1GWk/+r191FbkhOZlABVYz6Bd2p1nVH7NeihKut8dRnpggUb2JOcyMQEPVO99QqTVDVtrylvQZjnPAAR6bLPNDhgS3IikxP0UIOUNFNOrtDbJgnfWtc0GekPKzVuYktyIhPUQoNEQojnTI2fL982/y6ufF2TkXa+Mv1FW5ITmaRgVDxQ5pb5HUt86Z7ZY78NvqLJSL9ZKnS7LcmJTFRArk/hW9Azv1yPvQej4uq4Slc0GenXzpX+3ZbkRCYrePyGBt815YyM8IFR8tyBqqmajPTE2NXf2ZKcyISF5IDUzOG+OvTQ2PLXNBnpydrZRFuSEx2kCGT6RFw2yTTblW4+hr1Tbmsy0p/2PvCqLcmJDlYEpXfUumw+fh9/6RlADn10W5OR/rbg6HW2JCc7aHFN74umnMRwz+M47vc7mox09Izin9qSXEvBwYvQI2ULmeSmXP3omkmmxG3PuyYi3a1Bx5u2JCcyicE7tWxzsvnYTUy+ZJLY2NlHl5FetubYEFuS6ycwkYHSL01KNkn17nLRHPJHnXXoMtJXzi2dbEtyeCgWkkRyzU8fghlJaED0n+boeLSpry4jvXVpyk5bksOz2JAke+dWH3McNh+7RrP+NP/26uEhJyK9PtGvmY3Jnb9/AB1vQ6G2Ehnp5I5Fi9qZ3AP7htCGAn8D5+8yZ/87K/nrMttK6BMHd9iYXLobSeKnYF6F7WaP/fTnJbOHcnfy0WWk78YuOGhLcuxdS0KSSG7Id9vMgWN1x0umvKZVPJ8CEenTzze18zsXkIQkcUDZlnbInJGsaeCZbtWZf0+TkR62aWmCLcmx7xvruQAkF1X7vcOmdWtq2BWTzKA2Dl1GusKWXdG2JMdmJklIEsnFpf5h9tTGjekmmb/TjTmkhLR7ZhG3LcmxOSV7LAub5EDpu7XPm8qvbJ9u/m1717MCF5FOL9HhMVuSY6uBJCSJS570+hc9j90xD6kav9zUZKRnngmuaUtybB3H3rkQk5yZF+kh1//vW6a8ry7e1GSkX9o6/WVbkmMr8CQkiT3nHnnT/I79Z43HR9BxMrhjxaS3TOvRwZbkmO2EDShlHyAHJF4c7Gt+3xKCLmky0scct962JTlm9UpCkswoG+oq5nmnFtXzMc3oIcVTNRnp11/cNcmW5Ji9ko2W5e+/cxGlTHLn1rXwMXtoYb1UTUb6t1JjXrAlOWZpTkKSuCr4tphnpW34voFc60HXPe+ciPSNyEmFbEmO+QjYpyAc37nQ/16+aspZGHfPJNm+osfiLCJ94tq1jbYkx7w7SUgSbSgdIza44fHr98UJk4xPWR9dRjp9f4xmS3LML8e+cxH3R8vHF22EpU3UumKnzHds/06PhVlEuo9f4y62JMc8qklIEqdfPbvuN8sv8d1njpIfPeuxMItItwjsW8CW5DCKAUkiOVHUgoz0zKkbWojIZeugHboix6CdoKCgOXue226S/2Sw//2gnR/WrVs3/fOfzNF22lf+0riWWb9P7ZdjGku2wh87ZkxaeP7dmvHAJDTe/o9W3kD4Ch9orP1Tc+33TCo+u6AZ5cY08feVGrD2nm59Nkc1lshiAH/nHt8FjfTBby3+gUZJC5thDpQJ/5zcp50wnrwLrgvapYsXL9496yM1Zf5TZUeznNRYQgvE50bM3MwbR80npEftVDPKo15lh268lruXTYQdhw5H7sgU03jd5RWH1Kjde9n0kTmpsYQWjcJGq8ydf0yDMSqp0GUNxqhXPnKYr+forSfN1++eI1WDch/elbs3GvT59Okc1Vgys9Abt/40X8OJ36dpy40n7aNld8z7B/3/Nhup3srrZiP2bntXkzm66oxZ6pdjGktmcYFGOxv7l/l3YdM0s3HyLLqt/QpfvfZ/m43xcrSnsTY0uCN1ed5YN3dmjmksmQUHGmF+xRRthoHcv5p2gl8SBt2CsazKKiPWAuKAD/54w/xaLgm4LXV+xw2YfTHHNJbMInTc+NrtKJ1iNprf6Zua8WAF/b3glnkdXIGNVYdvmFOKSs3kYRDV96z5Kcc0lszCBE/Uss/MxpvyVnNPvHG+fFfNgX3mSXNMW/36UU9M5Mb5V6UBMdXqjKmc4xqLWqywsSB/osMz6RxYNOV+Y0Gjjp1nzq9ahy1NkYZGHU7Yvy/HNJbMAgZcWha9Yd7/Y5U5v5qz5+dUGKPOdSpy0xyrIqs4dHgNXxt9WRokVzK4VM5Z7sgsajAzz1/6hjlzr7/FocNY1eVaqjmWpZa+qcFGjrWxDh0mr0VWXZaGS3YetOJcjmksmYUOGue9YM/UYJsxX4JGqPTVVXNmP7V4mtloW9LMELDQ5CHXpIGz/fr3qJtjGktm8YPG2J96zbxftO5d8wPw2t4r5iQ1IPW6ef+1iDtm+S0vXpWGUK87P29UjmksL2bTBQPvrjL3TbWbecRsvOMjDWuEUW7+xnFueMJc/Q+ar+u67Z7yomD6BuGzg3JMY8kskkD6u61r3GCS+ebiMXOqkFrKV3/PKN/smTnuZrGxsWmrDpv6FTS+orJtFbkTC13PMY0ls3DCk3O1wW43PFE/zvrN/ABs/MZXB9NMMW27afzTCm8xF+An/J3SDTYDat/cnKMaS2Qmhtdr0e1dbmO6FbBx905zpj5hnK+eYtw/8+s28zXc9PJmc/kTustXutXql/adHtju7ns5IBE2iHapwBogmGvBBYIWLL61d9xprgU/j3j9R2jBPj6CFgTDN/79f9mSol13AV5aVxYOJ2t12WZTWW/INqFa3QXoCBi7QfSoZ+uOQmBwJnSUrEMe5kigHfIwBwPtkIc5HmiHyBwS1e41WZfjOopGz/IdRTtE5sSQdYgX54awQ2ROD6vRvHuf3Dohh3ZURgw3dJSsQ2QOFFmHyBwrsg5Bh8tx4nB5WEz5u9QRU2xRtRzXUXQnQYD3wF+h80bWITKnjqxDvDl7RB0icwJtTvzWmeM6iu5nCXhIELPIcSTrEJlDSdYhMkeT1f01U7cPei/HdRTdVRXgPSBb6LSSdYjMmSXrEJmTy+our+2VWxXIcR1F9/ZhR4k6xFtctqhDZI40WYfIHGxW9xreOVM6LMd1FN1hGvAQD6bIWSfrEJkTT9YhMueerENkTr/P+qXk1Flfxj5n6ChZh8gchbIOkTkQZR3izbFoZd/1wtLRU3NcR9Hd9tBRsg6ROSllHSJzXso6RObUtLr73/3GmYgc11H0zAd8o0Qd8jAHKe2QhzlOaYc8zKH6qGdQjJoYdiLHdRQ9eSTA+8YSoXNW1iEOidNW1iEyZ66sQ2RO3na3bpXLcR1Fz79hHSXsEJljWNYhMoexrEO8OZKtnMcz+aeSq3JcR9FTmPAbJeoQmVNa1iEyZ7WsQz6TOLFlHfKuxLndd8XBdjmuo+hZYNBRsg6ROcS9dYjIUS7rEJkDXdYhMsf68lnfjchxHUVPpMOhT9QhMme8rENkTnpZh8ic97IOkTn1q81tvDbHdRQ9FzHgIdERokAAWYfIAgRkHSILHLB6TuPSLy6E5LiOoqdzBnjfICcMQpB1iCw4QdYhsqAFWYfIghlOT4/oneM6ip4RiyYkUYfIXPSyDpG56GUdInPRyzpE5qKv3OHbxaKOuuPI3FEn9h1sE/fn3iD3WU9HjTh4KA06ajPLD5L9yIQzlaN+Hn7GXTDmXKv/LD/jnncg8NKs9b9rtUrNmTh6yjLX8on+gxb3PqX13Nk275Hjf2l9pq596uLi8+6N23MdvVX5lDYiZMdVLeqAW3a/2s6n/cITzmo74hMuXpwdmhR4qlX7Dq2StfEpjz/25dKX3NsL9ek6tvZpbaeZnyepiJm/R3OkQv5I929m/l4tefqJVv+zxpD5/uObLatoNIZ28Otc7sYrzmiLi/5wbfK6392OGSMC1uwLcW+uWanJ/l6ntEk/h5XoceIvbdP8j7sapLUg/5/6GKTdzVo+Fdc46oD0fsTfV5L9Lxx0/366wd6JY1a5503rNmfumyX18dvvrm8/+2X3nqF/XKgVdVrbb+a/737LzM+n3zbzR7P8vVqVNQte4RvjzCfnukCITWU2hy4UwTJkRPmtqBCOw7eqLBDByZWBf38x69dVRXrWdeHrLnq6oJyTDQsNuN+Be7LXAcv7GwnOlB+Sq/adNaOauzBWSjTWOVl5GD7qGalW/vIn/X/p7YJ7sg+Zk5XPbaS6RrrY8tP4o226ueCebJbiZOWhnesY6dAgv1sf957tgnuygFcnK5/HSLWN1C50a/yERjNcOI0WrS+crHxeI8UYqYyjTPeE12a74J5s8ehk5fMZKdpIM9r3bnhn30suuCezDDhZ+fzwrBip94zUzwY5p7vgnszs42TlC0A7c30K92Q2PScrX9BIkUaaYDTmkk3zXXBPZrB1svKBRqpppFkdS5z78s4cF9yTWeOdrHwhIz1upJeTD1U/9PobLrgnc7U4WXkYImsYaVjF4h+FX3zXBfdkfjQnK1/YSNXhPXH/kJ7W+WUX3JM5SZ2sfBEjVTNS3OXJhfdWn+GCe7K9oU5WHka2qvDMDfbzbbr+VRfck4U3OFn5YkaqYqRV995YnH5omgvuyWJXnKw8vNuVuT4t5iX+xsnGjuKsTvcPO6w8/+p4V7CXUBAnKx/CdNtTb2m3zwenNSruJSrBycqHsjaICPC/+M6bca4QLw5yJytfgrX1yBf2Dfojoa0r1Iuv1snKl2R9OmVL/R9eOTHOVcKL29DJypdiz86QkvlfKf/bNFdJLx4sJytfmj2je/p+cLVeYmdXKS/OFCcrX4a9CwdGtq64dON0F9yT2fWdrHxZ9s4hyngxMTtZ+TD2bp+MbZU8afYIV1kv1k4nK18OnhXud8K8bFNxsvLloW2NVP+xYv433x/vgnsyG5CTla/AxsSh3SPbj9432lXeiznCycpXZGNv3kuLX1o3PMFVwcvK2MnKh8P7ZqQl/91ZfN+h/q6KXhZpTla+EvuWvPmGz+crJuiucC/rBScr/xj7ZjWILZB/yaqxrkpepq5OVj6CfRtLrlz7fZUiz7rgnmxa62Tlfdk3eK1P0/gtQY1cgYnNjYfcof8JAx3+j1tEwHm2gw0Q90/D8lIWyrE1wn1gcB/cL8rqw7/7QQMkLuxyqEuEi5blz8qg/wcPuPcYyweS/aEjNxWM7pq3uouWxYmIQ/I/y0BeMMloy+lDy/JB23TNAfJRX5h4tDPS+wNS3hkxrK6LloV8SA7BIhPkoyyYjLQ30rgZ3aqu3dLWRcvm4tZM1Krgz63HYILSgZNDy0I+JIfAjATy/ZkcmLR0NNIzc8oFJzw9wSUyOaEhl9oNQX4uJgcmMp04ObQs5ENySAzFuZkcmNx0NlLpcgf9Ql+e4KJlIR+SQ+AZAPkBTA5MeLpwcmhZyIfkELiCQH4eJgcmQV2N9MWbX/6Z9+5IFy0L+fkfeJ4zfH8gPy+TAxOjpzk5tCzkQ3IInL0gPx+TA5OlbkZq+Fbe9jt/fNlFy0I+Tqiodx/k52dyYALVnZNDy0J+4AP9nhHOAfILMDkw1jxjpCXdO/oH35jqomUhn41HmeJ3QH5BJgcmWj2MNHvd+y82+eNVFy0bhGteQcAWyA9kcmDy1ZOTQ8tCfuEH2icjQg/kF2JyYELWC3jNGRi47LGxLloW8os8wCsjJBPkBzE5MC72NlJa9ZK9Bn8zzkXLQj4uc2kMLsgvzOTAxK0PJ4eWhfxiD8jJCLoG+UW4xWFfI4W8s7Lm2b0jXLRsMLeApKcDo3yQAxO8eCPt/+XtUcemPeeiZSG/+IO87h/EC/KLMTkw6UvIJCejLOSHPNjO98+8BfnBTA5MBJ810r2mF8PmvFrHRctCfuiD/X7/eFmQX5zJgcnhACMdLtZj7td9dRctC/klHnwO75/kCvJDmByYMA400o4hP3b65NAgFy0L+SUf4JVxaCrID2VyYBI5yEjPT628KGj7CBctC/mQHILzSUF+CSYHJpbPcXJoWcjHySc9ChTkl2RyYLI52EgvTp00IXD9KBctC/mQHIJTN0F+KSYHJqBDODm0LOSXfaCdMw64BPmlmRyYlA4FOW+2dU5+pZ+LloV8SA7BWZIgvwyTAxPVYZwcWhbycTJLj20E+WWZHJi8DjfSmseCz5x/9zkXLQv5kByCExJBfhiTAxPa5zk5tCzks/1XmQ4jBPnlmByY5CYaadd7ER8s+TXBRctCPiSH4Nw/kF+eyYGJ7wgj9e6T2unuoM4uWhbywx94fjKO2AP5FZgcmAyPNNIS5+76k/d2dNGykA/JITjNDuRXZHJgnjjKSJ+ciOjY5vMBLloW8iE5BAfHgfxwJgcm0qM5ObQs5KPxjZ7RBvIrMTmwYB5jpCkv93XEFujiomUrk4U4P7cuxs2fq7BFsUNSFvKrSPKCuXG+Glv0yuRUFfwO5hXnvjs12KJWJgd+p5okL4T7DtYki1ZatrpAX8wL5b7LtciilJYFfWtI8kpw84RotuiUyXlcwBvzSnLzltpsUSmTA7xrSvJKcfOoumzRKJMTKWg/zCvNzevqE8MsLVuLGPn4vDLcPBPWjo28yIkS9APmleXmvbAAFDmLsCz0Q7QkL4ybh4OlobEXOTGC/sS8cty6oImRmnqRA/1ZW5JXnlunxBqpmRc5dQTPBeZV4NZNTxgpzosceC7qSvIqcus4Y+nvaOFFTj3B84V54dy6sqWRWnmRA89XfUleJW6d29pIT3qR00DwnGIe2gAgtTHSU17k7DpdMtA0erCHtdBYL4XxGg0ZaCCghg1vdR8V1GASzxlL0GCCOvg/RAesa1UH3tgiMvzgXzRMOLKgHXhDDaAXZwhycB9pNPp4A9a1qgMaeajxBx9W/nlAIw4Frfuw39xTOmrx+vSz9/AvGoio4Yg3DvE64OKSB61rVQc0LlGjExqWeC+iP7dQ5kHrWtUBDVPUYIVGqftnkrFrXPTzoHWt6oBGre7E2IUGLX+iAxoweNC6VnVAg1hnZthCeWgMy0V0QGMMD1rXqg5oTHuKGcVQHhrSchMd0LDEg9a1qgMa4lowgxrKQyNcANEBjWQ8aF2rOqARrykzxqE8NODlITqgwY8HrWtVBzQAjmeGPJSHxr+8RAc0XvKgda3qgMbDIcwIiPLQcJiP6IA68aB1reqAhsc+zICI8tDomJ/ogH3Dg9a1qgMaLdH4iPLQYFmA6IDPKA9a16oOaPBsTQyhaOwsSHTAd5UHrWtVBzSWTmJGT5SHhtJAooNoDkHrWtUBDa39mcEU5aGRtRDRQfT9pnWt6oBG2lbM2Iry0EAbRHTIfApQ5rpWdUADr2cumK6hPDTuFiY6iOZStK5VHdA4jPNRlIcGjCJEB5FDkda1qgMalul8DI3KDjKf9MmCuRwapYeR+RgapHlDOT+340HrWtUBDdo4B0J5aMwOJjqIngda16oOaAyn8zE0hBcnOvhlwVwODek9yXwMjeghRAfR+EDrWtUBjfA4B0J5aIAPJTqIxkla16oOaMBHByfKQ+N9CaKD6HtB61rVAY3/1NmKhv+SRAfRd5PWtaoDOg6ooxadBqWIDqL5A61rVQd0OlAnLzocShMdRPMoWteqDuiwoA5idFaUITqI5pO0rlUd0NlBncvo6ChLdBDNq2ldqzqgo4Q6ptFJEkZ0EK0vaF2rOqCTpQWZj6GDpRzRQbTOonWt6oAOmlFsDoTy0DlTnuggWm/SulZ1QOdOTzYHQnno2KlAdBCtu2ldqzqgYyiOzYFQHjqFKhIdRPYHWteqDuhU8tiz0jWUhw6lcKKDyA5D61rVAR1SaFNDeaAX6sHrILJH0bpWdaDOLLQxgl44p3R43YiSua5VHdARxurfD2CozEXd8jZS0XyS1rWqA3Wi8c4+dOrx7eDMgnZABxzlUoX9fjBpB98saAfqvOOdleiU5NtBNJ+kda3qgI4/yqUq+/3ipB2cWdAO1GnIO1vRqcq3g8xmzde1qgM6HCmXauz3Q0g7+GVBO1BnJe8sRqcw3w6PstnMqg7o6KRcqrPfDyXt4J8F7UCdpLyzG53afDuI5va0rlUd0MFKudRgv1+CtEOuLGgH6pzlnfXolOfbQbS+oHWt6oCOXcrlcfb7JUk75M6CdqBOYT7YAIMK+HYQrXFoXas6oEOZcqnJfr8UaYeALGgH6ozmgyUwKIJvB9E6i9a1qgM6simXSPb7pUk75MmCdoBgjYaSYA8M6uDbQbTWo3Wt6gD+90YCLrXY75Uh7ZA3C9oBgk1cAi4wfmNQCt8OovUmrWtVB6igCbhEsd8vS9ohXxa0AywGdEmwDQbV8O0gWvPSulZ1gGCdxgIu0ez3w0g75M+CdoBgnyYCLvAdw6Agvh1E625a16oOEGzUVMAlhv1+OdIOBbKgHSBYKVbABb6lGNTEt4No7U/rWtUBgqWaCbjUZr9fnrRDwSxoBwi2ekLABb7nGJTFt4PI/kDrWtUBgr3iBFzqsN+vQNohMAvaAYLFmgu4wJwCg8r4dhDZQGhdqzpAsFoLAZe67PcrknYolAXtAMFuLQVcYF6DQXF8O4jsMLSuVR0g2K6VgEs99pvhpB2CsqAdIFivtYALzK0wqI9vB5EtiNa1qgMECz4p4AI64M5Kvh0KZ0E7QLBhGwEXmN9hUCLfDo4saAcIdnxKwKUBF/jOt0ORLGgH2DAJCX2T473Eyzk4Ox0PWteqDrDZEtIoU04jPX3clpRW/V3CeDmZDrSuVR1goyaky2n13muzv6GO8kTxcjIdaF2rOsAmT0hDTf9HQx3lieLlZDrQulZ1gA2ikC6MXB7X7okGOsoTxcv5SnSgda3qAJtLIQ0w/cT1dZQnipeTtQOta1UH2JgK6UxqmSsdvq2nozxRvJxMB1rXqg6wqRVSX9PmXldHeaJ4OZkOtK5VHWBDLKQTQ+cs7hxRV0d5ong5mQ60rlUdYDMtpGdMf3kdHeWJ4uX4eGsetK5VHWAjLqTDF5wtn15QW0d5ong5WTvQulZ1gE28kDw++xgd5Yni5WQ60LpWdYANwJD2Dhh9rXveGBY/ECOMl5PpQOta1QE2D0PyxA1E6yhPFC8n04HWtaoDbDyGtPPs+aU9x0exGIZoYbycTAda16oOsGkZkid2oZaO8kTxcjIdaF2rOsCGZ0hb+nZv3efvSBZHUUsYLyfTgda1qgNslobkiZ+I1FGeKF5OpgOta1UH2GgNacOJnWn9etRksRyRuiheTqYDrWtVBziMAxLOw1CeaB+KbJykda3qAAd5QEL09rIHxEHi+CiwrlUdYLN6/CPGDcp0+Ldxg7DRPUGwj0MUNyjT4d/uAYFN8s8K9nGI4gZlOvzbPSCwwX7AI8YNynT4t3GDsDkfUo9HiBuU6UDrWtUBNvZDooeliOIGZTrQulZ1gEMBINGDVkRxgzIdaF2rOsCBAoMfMW5QpsO/jRuEwwiGPGLcoEyHfxs3CAcZDH3EuEGZDv82bhAOQYA0/BHiBmU60LpWdYADFCB5YuVD2DgjjhuU6UDrWtUBDl+A1JXF2/X3Ejco04HWtaoDHNwACQ+v6eolblCmA61rVQc49AESPUhHFDco04HWtaoDHBgBCfdOTPASN+jr9XnIqGtVBzhsAlJzso9DFDcoawda16oOcFDF6PtzoHStuZe4QZkOtK5VHeCQizHcPKy3l7hB7zpk1LWqw5nYtQtg03cLJ/d/oHYwY1gbLliQ3wDiw+4X564hqAsnwmjUxaMsQWZ1Lg83MMBHuRoj9jh3fC4GpMEHswabSEdyv4vGOviY1WST/yiWj5un/NiHphZboMSwfAwk8WMfgWi2iKrD8vEIWz82QNdmC716LB+Pq/Vjg2ddthhtwPLxaFo/NrDVZwvmRiwfj6H1Y4NOQ7ao11g+HjnrxwYEF7tuzPLxeFk/9rLqrE5Tlo9HyfqxF6kJ+81mLB+PjUWHSCzTOY7l4xGxfuwBfIJxbsHy8ThYP/aQNmdt1orl49GvkB/BnEK5mEPChzvmFfIrM2eJPzPU+3BHuhZlhvN+bOHXhy2EezHDQA9mKOnODEdPM0NaF2ZY7MQMrR2Y4bkdtyjDRWN/9gKOZgPSSDZAJ7IP1nD2AR/KJjSD2QRvEJvwDmALgAS2IPJhsn843q0SvFQvsJcqCF8qUcQrvjT0lANcReJIjMAXke5EwtMXaDQnnohAd/RhBC6NMMvNvQh8xFUA9wLwEUh5uAefj8jJyz3wfIRKPu5B5yM28nMPOB/BUIB7sHmPfkHugeY93IHcg8x7fAtxDzDvAQ3iHlzeI1iYe2B5D1kR7kHlPUZFuQcM/+3gop5x16G30ykU/nfovzTwxOZc00tOe+mU+7MqO3d8/uLX7qQXxyWXGXdR29b3xfCVw+5qT4a/2e7oH0691+DO5eeUyaXDS4urNDFOrqr8yaOVgn4es6HHbf4wem/RYgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCv+f4v8AAAD//wMA - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7H0HfBXF9v9NboAQWkILoYZAkBpCQiAEuLt06Si99yYlMXTkPcITBHmKgiDSfD6UIiAWUOQB3siTItK79N47UqT+9uydQ4aTmQv78eX/2eQ/389njLszc+75zuzOzpxzZnD4OByOpwbgLyC7r/Gftq/36z84vk78oEHxg8uHtumdOKR//OCasRGVKkVEVY6KqRxRKSYyslL50DrDBg4dlti75uDew4Ymdh9YPrTFsB4D+/ds3HtUq/gBvQfXjImJioqt1Lta1Z5VY2JioiMzwa/kMYVHNOgdP6j30MRREbUTeyf4GfezDPf8TkD3xJ79+g/vHd1rUNb4hN6DBw9L7DHEr1f3od2hkL+/vy+oGPiKwxFl/J0+PjB7VqfxP7ngP0MK+zh8H4z1dfQ1/gfw8KmvIy+jVmd9/I2yn/vXn3dw0e5ftpetUvrJsrhHRn5FVjbKkeTQi3fzFA4cafwH7oO0dUwCLy0k6Osur2XbG+R+4gh82yfsRqOCo4JB2gSWHwhaAuAv/n8Kbmipbnnuu+kdvu73mQc28Qs7raWWl5KH1yv/3J/8dKxvEl7bjkzHSdPPnBl+wSRDlcfrDqxMvrm38tqaDN8z+P9vLlld5NPpETqWweuFYSdO2JpMZ65nqPJ4fbl7wo6KOSroSZvGZbclmUtMQVSc7xlUnvbUB5/f/sOWZPqGvDLu5wnldCTFk+nD8ii5OlVm37UlmZM7j0a1fFJGR1I8mRMsj5I7+FXAJluS8YxQpXUkxZPBPEpu48XQ9rYks09r/PHw66V0VJwng3mUXEDuXidtSab5PZ9X/fuF66g4TwbzKLkKLWYH25LMb8t//HPWiRI6Ks6T2cLyKLllOefb852p1yd+abn2YTqS4snUZXmU3NyeY3PYkoy7SKnO63aF6kiKJ/MTy6PkHk7zG2pLMonmh7CojqR4Mgksj5IruGHRK7Yk4/m+FNKRFE+mN8uj5M4k/eBrSzKdzOG2APtoFhJ8ZwrolNz2wCIrbEnmNXOEyqcjqdRDcz7ynSmgV930ZowtydQ3X+rcOpJKPZrlJkNzPj1r0I/VbEnG8x7k1JFU6gEgJxnNcuv3m86qZUsynkfHX0fFU78z/mQAyKkfH1pvii3JeFrbl83N/AWPmS95Z/z1haFrH9iSjGftf/+Z4ql75r5GyUWfPPmGjclc0JBUajIXNEpu/bZSzW1J5rJg2YxAMrTejMsfhtiSDK4ekVRqMvc1Si7L36o3tiUZXD0iKV4eviOU3K4FK+xpA8DVI5JK3TP+OiXXp9POgulm2YzA7wolt3VUvR3pZtmMwC8+Jff96oUDbElmi2DZjMC5GCW3eeLGdbYkg6tHJJX6nSmgU3LDh1Z12JIMrh6RFC8P1y+U3BS/By1sScbzsSyqI6nUA0BRnZKrd/1bzZZkUEEkxctDgpTcojlvx9uSTHv26CCp1KNZmE7JDfx9dw1bkmnKXmokxcvDQYGSO72l1WlbkqnDhlsklXpoDtcpue8mr1lpSzL4IURSvDz8kFJy2+uvr2JLMu0Fy2YETnEoudKDv+1nSzK12eQRSfHycPJJyTnrttlpSzKt2bQeSfHycFlAyX07PddZW5JBLzOS4uXhgo2SW1xu8y1bkvEWoSG2AVzQomfElLAlGaYo5iWJDBqU3HfZr2eyJZkX90yKqQmvRx9u1SCd9gw1aNzXHtae0t2WZLz1DLVo4nWutgmF0l3PUOsMXk/ZvqSmLcm8+J1JMZzjdabf+7ZJp+9MiqkJr8fr6xJsScZbz1D/DF4PWdlwRbrrGWo3w+tbFT6aYUsyLx7NUtyAeF0/JGhsOh3NUoyAeL0p6Td7RjV56xnqbcbrQSHFTqS7nqEWTby+krRhoy3JvPg7kxLUgNdNZmaOSqffmRTzLF5vy3kk/cQ1I2jsDF6/1aV0pXTXM9TWjNcPNt2yZyTgi2cAKSFaeB33oPSBdDoDSDGc4/Wanrdu2pKMt56hkYB4vfz0zFHprmeoFwCvK45u2tWWZF48N0sJOMXreb99tyedzs1SXBp4Xfj1fndsScZbz9C4ZrzOMTH4+3TXM9Q/g9fvFd32kS3JvHjWnBI+j9c//La2STqdNac4m/C66ut97Blv5q1n6C4NvN7UOVvWdNcz1HOG1/V/2VXRlmRevJ5J2QyE1zPrLfg0na5nUtyAeJ3/yNgfbUnGW8/QPWd4Hd2rRK101zPUp4nX3z3+s68tyXjrGbq1Ea8HhBVsnO56hjpo8frSmuRBtiTjrWfoDlq8Dur6W/qbm1FvM15/uDHoo3QXpI0I/eVI7xkFDrkd7Wq1O/HmOK334YYTbUnmmkmmph6ZecbdcztresjU7Vom7K0RbkelJF9/99xU9R43OnzFlmSWrmu8eGTDGjqSgntJS/tO+3j0KS35ShZt85P/uim5j+c2eMuWZPqZI1R1HUmZMqe7l+0feVpz9Mla/Z1Ck92U3Fdx1+0ZbxY+zLdDwPo4HUnBveWjh42898+8uuPe2wXf77DWTckdq57dnrPmU+ZXvZqOpOBewPSCMd2X5NVbnPnqrdDFu9yUXOtlVez5mH1WfnW2uXHVdCQF9+KyrOvskylY/yy2+pu1Mm10U3LHiu6050fTs6UxVkdScO/c3PZljj7MrzsaXmi/bJfbTcmtjC+Y05ZkQs7Er6uwoirbpxlrkom+enzaNEeIrh/qVz2x1c9uSi5w9PmPbUlmv7l6rKIjKbj34df/mDT+dgH9RI+Dm+vEnHdTct8ViChiSzIfzSkV7y5XRUdScK9g+y/ufrA8l54w4fjyLfPOuim5HX0enLElmRamxSVGR1Jw736ZrU+vbcml9/sz4bP5S0+7Kbm8axva8zHL0fJo6GtfVNaRFNwrlef1Tz4IzaaHRg3pnjn4uJuSq7Hk6Qe2JOOxUkbrSAruDd5eu2iXnQG6Hl+k7N2Is25K7vry+fYMnnsnYPruU4Wj2f6ZaJPMifFvDlzucOqBD+aN3PX2GTcll3vd7/NtScZj2Y/SkRTcW7X/X4UmbPbVu927k3vlxWNuSu5ubNljtiTjs77R+KEzKrHNQFEmmeTWTxe+W+qRFjl7y6rZm065Kbk+zffH2ZKMxxsWqSMpuLe1SKv6P9V6pLVYcP1hy0Jn3JRc86sj7Ok5GzPKp0rmnJFsZ1OkZ2j+5kCW4RcPuZOW7bvcZfYpNyW3doHrvi3J4HIZSfkKlsmU3N/XLu9gSzKIboLD2hBJRYee+S38hOYInL9xxoXx2vlGJdqlH4NGy40b8xae7PZ/XHZQqROnUskL2R/2Q7rZdX7r1/lhr5f11Q++M6X93cFnNEru91drdk03u85febxgQGA+X92/1VD/nyae0ii5s6v2nko3u86Llfoh/6rNmXXHtMnvHu1/TKPk7u0qcDLd7DrPVXXOw7f9s+iLO449seXoGY2SO1t6Q5l0s+u846pty6IP5tQTeo+dcX3SWY2SG7iw9bvpZtf5ue+/bLeweC69dOzX7RNGntAouZlTR/4r3ew6P5+w/6DvuSB9UvDOjz/85IxGyZ0c3ubXdLPr/Er072N8jgTp928E5xt086xGyZ3Z+qSHLckMEew6D2n76FyOGQX12LAJPbO9dV6j5GInLupsSzKe70shHUnBvcIN590sNL+gfmJJo4UfDlivUXIJezsF2JIMhvciKbhX4mKxpR8bpqWktUOPd636s0bJ5bkZ819bkmnGosiRFNybvPut8POZQvQT592Xt2faoFFy23/9yJ4H6eJmBSQF93Lv6urTYGl+fecb9bf3K71Lo+Qure73sy3J4J4YJGUaARcUyfH1h/l1PduubXvKujVKLiJilz2tM50Eu85n3O6xuOGOm5pjVq1Nh5t9olFyruDkIbYkgzv8kJRp5IistX6kdlNLGhPw45jvNmmU3J0tTXrZkkw7wWFt/r1v+P265LiWVPXpz60jvtIouU1Vhty2JRlcLiMpX8EymZJ7f8vE547S3z/2yRL4xwLyxTEFa3AMi/i8PMOzyBD+8QIA/EMIfn+BYWZxQRMY7UD/wu9FG5jy8IR729atWwc5b4PcpMkfOcyIiIPVj7orG/n3sv9h/u0x1aHPnjVr1kdJB93wNyn/HXffPn3OVfvAoUN+8w17TL0CQu+a+UHvO/Q+tTWhtX6b4+UbawZtrP+lFQW3scM9GQm8D420NNq8H1Lqoq8e07JRki3JMWtKMjNEJPt66WmD3IrzLQ6Y93/647opr+Qsh36xRngmW5ITmYyAxH9bbTR7rOSy20CmyTHjcZX1aM/HOxbZkpzIhGS8Y31C39to9tj9lbfdBqcVS5Z7ek5EusA/T5a1JTmRSQnepfa9pmpA8nyUWS+pdnkfXUZ68cbM1WxJTmRigscv/+7ZJrnCzhswWvYJMt4tGemOg7a/Y0tykoMOk95ofl+bYzx+3w85Z5I5usvzzolI7ywxLdKW5EQmKBgNW40xyYVE7DinweO3aLSPLiNdP+7BMVuSE5mkYMDY/tFDDf4uPH3VJPFlgI8uI5399SaNbUlOZKICUp3eeajBY1h681UNRsWjv3tmLiLSnR9Vf2xLcrKDEi9XfOJ5t67eNP92PeEhJyJ9wBF51ZbkEiQHJwI5IDP6d2N9ZGBoDacuI93MZ/RsW5LDrcRIkn3Ez31W7pZJ7sYnO80eGlwshRwlfUBbbU9yHcQHKyZNqXHLlFPvmkluq/9JX11G+lxSz9O2JNdcYPKCx+1yo2um8t0jF5l/v+hhHuojJP20zMM6tiSH1iIkiaPlqMue0XBF03+ZfwcHO3UZ6W+/bNzVluREJjGYIB+ad9r8niW+u8+cKA/O5tRlpKduGX/QluRE/54BvFszGpnkZnWM2m9Osw7099VlpI8VjWpgS3Kif98AlK5b9RDMQKIXVjhlLk73/e4ZUESkk6ufC7MluQ4CExrgQddDICepUsgpc/Zf3c/zWIpIv35Ry2JjcheeHUDH21CorURG+vCQ+IV2JvfcviG0oUBP5Qo2bSiOf1331WW2lYo9Pr1mY3L33UgSv3MXEreaA0ezAftgxR09zhg4ZKSzZbtQzpbk2LuWjCRxQLnyx28wQV5RY+k+01by/XZzQBGSvhPQubYtybFRMhlJ4jsX3uqQ+R2LL/yTWW9VF19dRvrLzwsvtSU59n1jPedvkgMSfkGHzenVqcJrzAFlXB6nLiP9Q++4erYkx2YmyUgSe674/vPmBDnvqp1A5lySMUGWkW7+bY4IW5Jjc0r2WOY2yUHP/KfCBZPUw492mX8L/82coQhJ7//brJW2JMdWA8lIEg1ElzuaE+StleceN79r4x56BhQR6Tktbv9kS3JsHcfeuQImOcDTOtfMdytTN5OcY2Uppy4jfXVmhc22JMdW4MlIEntuxOcPTBL57/5h9tCV2p6VuIj0/H69FtiSHLOdsAGl6HPk4N36Mesdc9128JxDl5HeHF1ntS3JMatXMpLE0XKNYZ8EUr/P8Ky8S5xMIUdJv/HHx3/YkhyzV7LRMuzZOzdn/H1z9n9g3i2zhyY99ZjTRaSjAgrb2YYSnowkn33nBt0x5VR5xWNWmBhvmtOFpNvVqD3VluSYj4B9CsKffee21rtjGl/jDphmhXPXDeOrjPSRd3+25zvHvDvJSBJNe8tv/eKGCfLK+RdMh3+Jfzt0Gemh9wZ9aUtyzC/HvnOlnz2W1V7daJLan/OiOc1aU9/j5RGRHjRm/Ae2JMc8qslIEh/LxKQD5rptTNYb5uy/xK+ex1JEOtuHo3bakhxGMSBJNO2JohZkpJOX1OgmIpeug3boihyDduDvrNA/TJ/58Ku+z4J2jLbpE1bWDNrp0+yyZyIustUUCTx0IMM0lmyFP3LEiBGN6+/W8gQFBbVud8gdFhY2P29Wp752zZo1YS33a5MmTfLvVO+428gOWpzZKTVgxZTbkinDNJbMYpDbaIQ1OXdr9erWrTvzw0PmE/PGbl+9TevW+56G7ddaG39vDjtulg/d7ys1ZV5sXuvPDNNYMgsENNbu/se0fxqP0Kp9m93wpA00fCfw162d1G5cu7Z8TrNdbuPvteJ95Ebtig9Xr88wjSWzaLxrNJJW7LjW1niEavfe5IYnbGeg+RpWX/fxSa2E8Vpm/XQnNNbgYjmdUvdGYJ1tf8swjSWzkCxbsmSJ6+hFuK7fbuYmDZ60nYWdujF2hXU6c9l8bXOOW6NB4xUrKHd0VSh39R8ZprFkFhf42g2reglet2ZfdflVM540/0ZDPfcja13RShpP1gYjlnzpkiVlRwzwlbo8t7bYOjnDNJbMgnPdeL32RN2ARpr0wapD5pO3/JY5Zt37pupNzXgr617avc98wg5flDu/+8TuXZRhGsuLGaxJTPgNDQb0J4mHNGi8BiXN1y1kQOmbZiPem7BPO3b06NFDxZ3SMIhsO744kmEaS2ZhgkZ4dfdDsxHfv3LbbIRfdKcOX78Qn8emXn6nb5mNMtclD4gJTyz17wzXWNRihY0FH4CKjj9MPb4543jWWNuNegvu3jJfw4mnHNLQqM8OTSybYRpLZgEDLjfH/qkZH8GpMzvcNF/DH445dGikUm8/0GBy2rrYDfM1bHhEHiT3cGH7ExmmsbyZEZe962mspF6eJ8Xl9MRZr5vyABrvWplyN8zytzP7SMMl208otCHDNJbMQgdkoxLvmq/ZpJWX4ev3S40hnkapM+Ke1s/IP1zrojnPujVcHjg7r1F4SIZpLJnFD756Pg3vajA5/bHbZXNSqh1w6EabbI1pcg/mWWFVL10wG2vKXoc0hHp604e/ZZjGklkQjUZ4K+i71e6vjMaKCbnshsYa8qlngP/n4/nudUYjrfrgqhsaa/0ceTD9vGnv+WaYxpJZJI3Xqvzs2mvdMJ8qM+6y2SgXavro/Y1yb19c5DaeuLJjbl91GwN853wxPtJtFcn9d8zLMI0ls3AaX7vWjwbuMRtxQe2bbvgatkh26JONxsu+Yrtp99rx1i2wZ0392yqHdINN8MoJfTNMY8nMxMaa743AunvA6Bf27xhPY6362KHXN0b6xMHb4Yk6eirhlvm30XT5VqvKPz95Lh7D95Z/ImwQbVuCNUB+rgVnCVoweHO3Bqe5FlxaespP0ILdfQQtCIZv/Pv/siVFu+78vbSuLBxO1uqyzaay3vCyCdXSLsBOCdf2ix71dN1RCAzOhI6SdciLHAm0Q/C+zMFAO+RFjgfaITKHxPT/tAjPcB1Fo2f5jqIdgk6M2cSJIesQdG7kJs4NWYfInB5Wo3mnjsuuZdCOSonhho6SdYjMgSLrEJljRdYhMoeLrENkjpi3D/2WOcN1FN1JAB0l6xBvzhtRh6BTZzJx6sg6BJ0914mz50U7G2YTJ9CGZntXZ7iOovtZ/F8QxCxyHMk6BB1KbYhDSdYh6GgKI44mWYegA2o2cUB93XlWnQzXUXRXlf8LArJFTitZh8icWbIOkTm5ZB0ic37l3/RpYobrKLq3D98oUYfIHGayDpE50mQdInOwWd1reMUx/lKG6yi6wxQnE6IOkTnrZB0ic+LJOkTm3LO643V62Gx3husous8ZOkrWITJHoaxDZA5EWYfIHIuyDpE5HH+9POF4husoutseOkrWITInpaxDZM5LWYfInJpWd/+f+3lkQIbrKHrmA75Rkg7x6iClHfIixyntkBc5VF/2DIov/t53R4brKHryCN9RtENkzllZh8ictrIOkTlzZR0ic/Jur7TodIbrKHr+Dc76RB0icwzLOkTmMJZ1iDdHspXzeJYGis/2TdcdRU9h8n+Bp17klPbmwRc5q711CDix+xIn9otOhZpNnNu/nPjpmwzXUfQsMP8XRAmIHOJeogeEjnJZh6ADvQRxoMs6BB3rs4lj/a7f0g0ZrqPoiXS4jhJ1CDrjZxNnvKxD0Em/jDjpZR0ic97LOkTm1O8wdnlkhusoei4iG/qEHSILBJB1iCxAQNYhssABq+c05t176r8ZrqPo6Zw49Ik6RBaEIOsQWXCCrENkQQtWTwsNGv60Y4brKHpGrL/3zX5CF72sQ2QuelmHyFz0sg6RuejDZsyoLOqox47UHXV874FmDS7uCXKf9XTUkAMH70FHbWD5QbIfeZKp0ZioAme1Yh2PT5yb64I27tZ/Aj+v8bY76lFU+z0V3nf3XN4yyyuX/ltj/vAfwso9ve7OUj3X6Ec5L7hPfFxk909GvU1d6qyefWOCJru/qMnnh/P5n9XWxK9ISow47i725aAOp+qG6FGF7jWtOPG82/XDvR3d7k5j+Tvcxc38rHpFM/+A+8n3kP8PrUKNaUv/Z40h8/1v3lh4AjRGYkxwEjTGglqdnkBj1CvY5fu9Fd73PMX6ihpvfzofGkNr2zk20SCtnVj0+JBB2h3sf2fVnBsT3LL7U9488uh0xAF3pYfbxw1tu9J9vHit1QPOFdTfyru8wcnR492TD31+4e7W85on/wuWH6DXN/OHuqeY+Qe04ountucb48zic20hxKYM+5AElmYZMqL8VlQIx+FbVRaI4OTKwP8P6n9pWt6DtVy49VT0dEE5JxsWqnO/A/dkrwOWz2QkOFP+rmNsz0pPdRfbMSUc65ysPAwf1YzUKqTOnqNtGrngnuxD5mTlsxgp1khTmu/6s2TIEBcbgoTxmE5WHtq5qpGWPTlw+eJ3Y1xwTxbw6mTlsxqpCvDxb1P28PV3Xeg3Eq0vnKx8gJFijLS30X8ulzsxzgX3ZItHJyufDTgbaWPfQxFbRwx2wT2ZZcDJymeHZ8VIh7qd7N6jaJQrG1eHmn2crHwOI0VxfQr3ZDY9Jyuf00iVjDR6ybwlN0slunKwthYZbJ2sfC4jRRppTJOmfhNzJLngnswa72TlA41U0Uh37kbmb5yrtwvuyVwtTlY+yEgRRmoZ1KHCO9fjXXBPtrPOycrnNlIFI3Xq0XfukW/6uuCebOuik5XPY6TyRmqT56yzRGRTF9yTecCdrDyMbOWM1N3n5HtrhtVwwT1ZeIOTlc9npLJGer9GK0dMljddcE8Wu+Jk5eHdLsP1aT4v8TdONnYEszpLMk/8bNPUSq78XjYYO1n5Aky382WO1M+3v5Er2EtUgpOVD2Ft8LDJ2ni/arGuAl4c5E5WviBr6xwlf+hV/L02rhAvvlonK1+I9emEmy0PzZxUzlXQi9vQycoXZs/OL5NvbnGF5nAV8uLBcrLyRdgzqsW5xn06rZursBdnipOVL8rehYl+DZr+9HOiC+7J7PpOVr4Ye+e6t/xl9tniQ1xFvZiYnax8KHm3i3mxdjpZ+eLwrHB1Qr0Y3pysfBiUMdKkX2+db1q+owvuyWxATla+BBsT+4283TM0a3dXmBdzhJOVLwn3jTQguuIZvz09XSW8rIydrHw4G+MPrM+x9csBo11wTxbC7mTlS7FvyaNJEavGPGnuCveyXnCy8q+wb9a1TeXn33ivp6uUl6mrk5Uvzb6Nx6o9bHTmXncX3JNNa52svC/7Br++aFd4971xris+R87DpOEiDHT4D7eIgPNsBxsgcH7v66UslGNrhGfA4D64n5fVh//vaaS2SfVbjN9TyUXL8mdl0H/BA+69wvKBZC9ohC+7zRq/rayLlsWJiEPyj2UgL5hktOD0oWX5oG265gD5qC9MPF4z0qJBMz85+CDSRctCPiSHYJEJ8lEWTEZeh/bYFtuteIs4Fy2bmVszUatCJm49BhOUlsCt5c3ZtfP2dNGykA/JITAjgfxMTA5MWloZKXnePx5PWzrQJTI5oSGX2g1BfmYmByYyrY3UZVtCrmoXR7loWciH5JAYirMwOTC5acPJoWUhHydA1DMA8v2ZHJjwtDXSuugOM2cdftNFy0I+ToqoKwjkZ2VyYBLUzkhbv/hzkE9CFxctC/mQHALfH8gPYHJgYtTeSK4BfUsmh4S5aFnIZ5OnVM5ekJ+NyYHJUgfgVX5NjaZhPVy0LOTnfO75SfHug/zsTA5MoDoaqenBzlkGZk1w0bKQn+u5fk8J5wD5OZgcGGs6cXJoWchn41Gq+B2Qn5PJgYlWZyN90XZY647nu7poWcgPeq6dUwK2QH4uJgcmX104ObQs5Od+rn1SIvRAfiCTAxOyrkbqlvjtlG1L2rpoWcjHSRsNyQT5QUwOjIvdjNRzc8lcy0rXdNGykI/LXBqDC/JzMzkwcetupEd/X1v6kG93Fy0L+fmek5MSdA3y83CLwx6p5KSUzc8tIOnpwCgf5MAEr7eRDiQntWv4fnEXLQv5wc/zenYQL8jPx+TApK+Pkf6YerJR7I44Fy0L+QWeb+dnZ96C/PxMDkwE+3JyaFnID3m+358dLwvyg5kcmBz2M9LrQ+tX7vxOfRctC/kFn38On53kCvILMDkwYezPyaFlIb/Qc7xSDk0F+SFMDkwi3zBSk+7RVd8fV8hFy0I+JIfgfFKQX5DJgYnlACNp/X8c3X1KCxctC/k4+aRHgYL8QkwOTDYHGunG5k9evbW2h4uWhXxIDsGpmyC/MJMDE9BBRmpY6egTR5GeLloW8os9184pB1yC/CJMDkxKB3NyaFnIh+QQnCUJ8osyOTBRjWflRGUhHyez9NhGkF+MyYHJa4KR6ozMdLxDeGMXLQv5kByCExJBfiiTAxPaN410NPabnBv8XnPRspDP9l+lOowQ5BdncmCSm2ikM7mfPry1raWLloV8NhFOde4fyA9jcmDiO8RIo2MSslzo9YaLloX88Oeen5Qj9kB+CSYHJsNDOTm0LORDcghOswP5JZkcmCcOM9I/9xVceGNiSxctC/mQHIKD40B+OJMDE+nhnBxaFvLR+EbPaAP5pZgcWDCPMFK/H/99tvHt11y0bBmyEOfn1vm4+XNZtih2SMpCfllJXn5unC/PFr0yOeUEv4N5wdx3J4ItamVy4HfKS/IKcN/BSLZolcmpINAX80K473IUWZTSsqBvhCSvIDdPqMwWnTI5FQW8Ma8QN2+pwhaVMjnAO1KSV5ibR8WyRaNMTiVB+2FeEW5eF0cMs7RsFDEE8HlFuXkmrB1repETLegHzCvGzXthAShyFmFZ6IfKkrxQbh4OfuZaXuTECPoT84pz64LaRqrjRQ70ZxVJXhi3TqlrpHpe5FQVPBeYV4JbN9U3UgMvcuC5iJXkleTWca8aqaEXOdUEzxfmhXPrykZGauxFDjxfcZK8Utw6t4mRmnqRU13wnGIe2gAgNTNScy9yhs75fLRp9GAPa+BIL4XxGg0ZaCCghg1vdV8W1GDSkTOWoMEEdcj0Ah2wrlUdeGOLyPCDf9Ew4UiDduANNYDOnCHIwX2k0ejjDVjXqg5o5LlEjD/4sPLPAxpxKGjdF/3m7iLRn667f/Yp/kUDUV9m6EF5vHGI1wEXlzxoXas6oHHpJDMSoTw0LPFexEzcQpkHrWtVBzRMoYEJ5aFRyo/ogIt+HrSuVR3QqEWNXWjQykR0QAMGD1rXqg5oEBMF46EevA5ojOFB61rVAY1pvxEjGxrSshAd0LDEg9a1qgMa4uoxgxrKQyOcP9EBjWQ8aF2rOqARz82McSgPDXhZiQ5o8ONB61rVAQ2AicyQh/LQ+BdAdEDjJQ9a16oOaDz0vNuFdJSHhsNsRAfUiQeta1UHNDx2YgZElIdGx+xEB+wbHrSuVR3QaPkaMz6iPDRY5iA64DPKg9a1qgMaPOszwyXKQ2NnTqIDvqs8aF2rOqCxFI2eKA8NpbmIDqI5BK1rVQc0tFIDLBpZA4kOou83rWtVBzTSUuMtGmiDiA6pTwFKXdeqDmjg7UgMv2jczU10EM2laF2rOqBxGOejKA8NGHmIDiKHIq1rVQc0LFNHHhqVHWQ+KZpX07pWdUCjNHUCokGaN5TzczsetK5VHdCgTR2IaMzOT3QQPQ+0rlUd0BhOnY9oCA8mOojeC1rXqg5oSKfzMTSiFyA6ZEqDuRwa4el8DA3wIUSHzGkwl0MDPnWYovG+INFB9L2gda3qgMZ/6mxFw38hooPou0nrWtUBHQfUUYtOg8JEB9H8gda1qgM6Hd4kTl50OBQhOojmUbSuVR3QYYEOXZSHzoqiRAfRfJLWtaoDOjvaE+cyOjqKER1E82pa16oO6ChpyuZAKA+dJKFEB9H6gta1qgM6WeqwORDKQwdLcaKDaJ1F61rVAR00OAdCeeicCSM6iNabtK5VHdC5057Mx9CxU4LoIFp307pWdUDHUG02B0J56BQqSXQQ2R9oXas6oFOpNZsDoTx0KIUTHUR2GFrXqg7okEKbGsoDvVAPXgeRPYrWtaoDdWahjRH0wjmlw+tGlNR1reqAjjBW/1kAQxku6pa3kYrmk7SuVR2oE4139qFTj28HZxq0AzrgKJey7Pfzk3bwTYN2oM473lmJTkm+HUTzSVrXqg7o+KNcyrHfDybt4EyDdqBOQ97Zik5Vvh1kNmu+rlUd0OFIuZRnv1+AtINfGrQDdVbyzmJ0CvPt8DKbzazqgI5OyqUC+/0Q0g6Z0qAdqJOUd3ajU5tvB9Hcnta1qgM6WCmXCPb7BUk7ZE6DdqDOWd5Zj055vh1E6wta16oO6NilXCqy3y9E2iFLGrQDdQrzwQYYVMC3g2iNQ+ta1QEdypRLJPv9wqQd/NOgHagzmg+WwKAIvh1E6yxa16oO6MimXCqx3y9C2iFrGrQDBGvUkAR7YFAH3w6itR6ta1UH8L/XFHCJYr9XlLRDQBq0AwSbuARcYPzGoBS+HUTrTVrXqg5QQRNwiWa/X4y0Q7Y0aAdYDOiSYBsMquHbQbTmpXWt6gDBOrUEXCqz3w8l7ZA9DdoBgn1qC7jAdwyDgvh2EK27aV2rOkCwUR0Blxj2+8VJO+RIg3aAYKW6Ai7wLcWgJr4dRGt/WteqDhAsVU/ApQr7/TDSDjnToB0g2Kq+gAt8zzEoi28Hkf2B1rWqAwR7NRBwqcp+vwRph1xp0A4QLPaqgAvMKTCojG8HkQ2E1rWqAwSrNRRwiWW/X5K0Q2AatAMEuzUScIF5DQbF8e0gssPQulZ1gGC7xgIu1dhvhpN2CEqDdoBgvSYCLjC3wqA+vh1EtiBa16oOECzYVMAFdMCdlXw75E6DdoBgw2YCLjC/w6BEvh0cadAOEOzYXMClOhf4zrdDnjRoB9gw2ULgJxXFyzk4O93/0scKmy0hXTPl1NQjM8+4e25nTWG8nEwHWteqDrBRE9LSdY0Xj2xYQ0d5ong5mQ60rlUdYJMnpH6m/6O6jvJE8XIyHWhdqzrABlFI4cN8OwSsj9NRniheTqYDrWtVB9hcCumU6SeupqM8UbycTAda16oOsDEV0mflV2ebG1dNR3mieDmZDrSuVR1gUyskT1xRrI7yRPFyMh1oXas6wIZYSCFn4tdVWFGVxTjFCuPlZDrQulZ1gM20kPab/vIqOsoTxcvJdKB1reoAG3EhfTSnVLy7XBUd5Yni5WQ60LpWdYBNvJBamH7BGB3lieLlZDrQulZ1gA3AkHK0PBr62heVdZQnipeT6UDrWtUBNg9D8sQNROsoTxQvJ9OB1rWqA2w8hvROwPTdpwpHsxiGaGG8nEwHWteqDrBpGZIndiFKR3mieDmZDrSuVR1gwzMkn/WNxg+dUYnFUUQJ4+VkOtC6VnWAzdKQPPETkTrKE8XLyXSgda3qAButIY0Z5VMlc85IFssRqYvi5WQ60LpWdYDDOCDhPAzlifahyHSgda3qAAd5QEJ087IHxEHi+CiwrlUdYLN675eMG5Tp8FfntLDRvc9Lxg3KdPircYOwSb7vS8YNynT4q3GDsMG+30vGDcp0+Ktxg7A5v/9Lxg3KdPircYOwsf+Nl4wblOnwV+MG4VCAAS8ZNyjT4a/GDcKBAgNfMm5QpsNfjRuEwwgGvWTcoEyHvxo3CAcZQBryEnGDMh1oXas6wCEIkDzvdiF9iJe4QZkOtK5VHeAABUh4iEwfL3GDMh1oXas6wOELkJqRA21EcYMyHWhdqzrAwQ2Q8PCaZl7iBmU60LpWdYBDHyDRg3REcYMyHWhdqzrAgRGQOr1E3KBMB1rXqg5w2AQk3DvRyUvcoEwHWteqDnBQBaR2ZB+HKG5QpgOta1UHOORiBDcPa+clblCmA61rVYfRBxN7wKbvhk7uX6B2MGNYMy5YkN8A4sPuB3PXENSFE2E06uJRliCzApeHGxjgo1yeEavIHZ+LAWnwwYxgE+lK3O+isQ4+ZpFs8h/N8nHzlB/70ESxBUoMy8dAEj/2EajMFlFVWT4eYevHBugqbKFXjeXjcbV+bPCMZYvR6iwfj6b1YwNbHFsw12T5eAytHxt0arBFvcby8chZPzYguNh1LZaPx8v6sZdVZ3XqsHw8StaPvUi12W/WY/l4bCw6ROoynRuwfDwi1o89gPUZ54YsH4+D9WMP6auszRqzfDz6FfJLM6dQZuaQ8OGOeYX8MsxZkokZ6n24I13zMsN5T7bw684Wwl2ZYaAzM5R0ZIaj9syQ1pYZFlszQ2tLZnh+jVuk4aKxF3sBh7MBaSgboBPZByuBfcAHswnNQDbBe4NNePuxBUAftiDyYbLXHutQCl6qUeylCsKXShTxii8NPeUAvQO+JEIUX0S6EwlPX6DRnHgiAt3RhxG4NMIsC/ci8BFX/twLwEcgZeUefD4iJ4B74PkIlWzcg85HbGTnHnA+giEH92DzHv2c3APNe7hzcQ8y7/EN5B5g3gMaxD24vEcwN/fA8h6yPNyDynuM8nIPGP6/g4t6xl2H3k6nUPjfoddnuY4vqN3+4de7T7rvxscV6zP7rvs/CQdeDa/t0C8NWHf6rTlPtAp1s1xJTLijZd7ePu739506vLS4ShPjxLdlFr9cKejnRwWcjfjD6L1FiykoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKPx/iv8DAAD//wMA - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7F0JeE3X9r9DRmQiCSEIKqaIjGb3nJr7qv1HaiyvrRIPJUHQmtOKVtH5UTF99D2tqVoURbmhZqo1tFpDSbRaHVLR4r2m5H/WuXs1x8rel/vX/L+TfPv3fcfNOXs467fXPnuvtfY+jsVqsViKNcAvoIpN+6dv6rDh6RmdMkaNykiPieqTNjZzeEZ6h9ax8fGxCUkJyUmx8clxcfExUZ3Gjxw3fmxah/S08ePGDhoZE5Uy/smRwwc/mDaxV8ZTaekdkpMTElrHp7VpNbhVcnJyYpw33KWaXnlst7SMUWnjxk6M7Tg2bbSXdt13gus+lQaNHTxs+IS0xCGj/DNGp6Wnjx/7ZKbXkEHjBkEmPz8/G4gY3MhiSdB+/5kdXMXfrv0RBP8krrVYbL9Pt1kaaX8AioptllBGrdPujCtN/+XXdcmX7xzfc7Rpy8a31rb9Q0v/ZY0rPcGSZVHXt3GdBHfX/gFxobYdltK1RYS891jPyidDnLcswTOs9a/8rebE6lDbTJYeDFIC4Bf/LsEVpdQl13UnvWIs+9jqW60uDLuolK6vJA3P9xa0+0fxdFsWnpuOTHbe1fZ7ehXqZKjweP48y7PiWtBNU5Mxagb/fiB15IDo4iYq5sHzRzZNnmhqMrMMmqHC43mN65+ceOlkI/Xw4I/fNSUZFBAFN2oG06imnE81b2VKMt/ntOhxbVVDFQU3ksE0Si4q2PF3U5LZ0uG1PQOnN1BRcCMZTKPkxj869WdTknGNUPVUFNxIBtMoue/i5heakszKSqtG9O1VR0XBjWRWszRKrsphSzNTkummP9QRKpIqPTRHqJRchw0ZfzMlme/05yBMRVKlB4AwMppFqO3XDTQnmZl61wlRkVTpZyaEDABh6vaVK+aZkkx3vbX9VSRVupv5k2cmRD3UOXuSKcm4bDKriqRKa8ZKupm/uuCtUW+bmEyhgqRKkylUKLnPHFf/Xm7MGQSSoeXCNxcnlBtz5nYyVpWS6+2dNKTcmDMIfEYouc/m5R0uN+bM7cKHEH/GX933N8s5U5JZzTFnEDivUHIrr3x5wpRkcFZHUqW7WYRKye3aWzjZlGRQQBTcWB8SpOS+CfG/bkoy2HWQVOlnpp5KyXXdNcqcQ7PLwPRnz4zLnEHgoEDJrdzcabYpyeDMj6RKDwANVUqua4v2v5qSzCyOOYPAiZSSa7YuOtaUZNxFNPm2mXb+8vQcU5JhgmJaFs/QpOSqtB530pRk7qyZEhcAz+vN7TGrnGqGGppWNbNtt72mJONOM9TTxPMflj3iX+40Q61mPP8wvF9nU5K58zNTEtDA82G7m/9UTp+ZEhcAz9uOi15uSjLuNEPjZnjefcrxduVOM9SfwfOah76aYEoydx7NSsKzeP6vgoRR5XQ0K3HO8LywX5soU5Jxpxm6CoDnH47scrPcaYZ6mnj+w+mH3zclmTvPMyWLTXi+MfhltZzOMyVuM57nvT0zwJRk3GmGrmni+cC1D7Ypd5qhMQA8D6ypjjMlmTtbACVL53j+xroxb5ZTC6AkoIHnu2pMOm1KMu40Q3do4PnNxAHdy51maHQGz9+bmeJd7habEK9+sP7y050uKJbcY8vHLIlzzt2f8I0pyYTrZFqpsfctqX76cmsXmSKvx/OWZCnqpqKoqps2lKov8uHrGaYkc2v/rVfud7ZUkRRcO7Rs7L/bHs53WsY23vhB9m6Fkmu5LdKcz8wlfYRKVpEUXKvzXcfjz/eE5+jzjkmJ8QolNy/mww6mJHP0qSf8Vv0zSUVScK3asTeTag8JzUUylFyXm3HmXGzarM/qiSqSgmteBx4sCAQyyT2zRl3MVyi5ylemHjElmaVBu7OCRySoSAquLfjXbz6fb7LlXhje2Nt2KV+h5II+DX/UlGRclnC8iqTg2uHKLRdMbmvLTfEuzLkVckqh5Ebe/LiuKcmkb2zw36eVOLbYFK+T2fdK97hjNYqc6vT/BvbIuqBQcicCG5rTNlure4+xKpKCa36buz20b2iRc9mBnORH8vIVSm5O1mNBpiQzaV2lizubxKhICq79tr/5gcvajH/gyjOhSefzFUpu2j/q/9uUZNCMQVI2jvlCyb2QsL6JKcm426SNWPpGTMM1q2E7/Yj5PfokKJlfW1eWI0PzaJ09tQOduT3ecXbTuhUttzZynl+52dXUL7v9Kxcv2lSLM/HAv78HMreTa+J7LbTc7Gp6tX8r1WuVTc2qmm0fcuBrhZI7M/q1M+VmV1N0vwtH5vXzVVOePdho7NcnFUqux9n2IaYks4qzqyn91dn+ly/5qst+6rtn0Hf5CiUX77PdnGQwGI6k4FrBSwVVpo4MV1PS1+x3fpuvUHINR/19a7nZ1XRheVaNuRoZS+6EvmfO369QclGPt99fbnY17ZgT4xUx7VcFyVByS3et2GZKMt05u5qc6krrhPhflWX5lfN2NNqjUHL9LZ1ulJtN2qNXHYpLGHBRyfp0UFFawGaFkss+lLOl3OxqouYLJffGwV63vQuQ/brPPnh581x9JuB9Boa1rXfP8FtkCC+TAuDFVK97YOjDz6gDo4P0F+63MCcn579JRfp9ApZs0n9Vu1195umnn9731B/K4KFDh86OWaLU1/BSe7vap3fv3m+8dVNJSkxMrFtrsbNL586dT4+3q3D+xFe39Osb+m1y/kMr1+g9u5r8xObpvO7wieXuG2sebay/0rrFbVJwTUQCry/SGuv0+ZX679TD3mrqZwOXmZIcs3JzmYGYa3Ojafid2/uWoqVHrPr9uPLJkSM9kpva1PrW6c1MSY5nyoPQm7ZYdDLbXtmik1lfZBN2y95Pec83JTmeaQ+aG7XBRW6B73aoL2vy/XZVRPr3xV1eNiU5nqmvaeRS+5Y2ncyTBSf17jfrfZsqIv1wxsoOpiTHM/1BI9+rLnIftzmh1zcl2qaKSBfGvn2fKcnxXnCAZ+nqewH6M1a45CaMihFhF28oItK7kvzM+czxXnhAcpBn8rZiBc531fpDEZF+6ESfkaYkx3MVoPt5r/EBclkvTb+iaFwSl52zqiLSJ+c0LTYlOdELEQdm+OhkYt4r0AeO+CidHJd058+H/2BKcg9wXAl4pvb5eOtkrH0uw8BxpOFULTAiIB0xZ+iTpiSHe6CRJHbLmGre+rNVJfQHGEhysra5BhIe6bj/PNLCxOQK/9z4bbQtqQ0pIt19SvhZM5O7bf8B2pZA4osNh/Xf+XW9VZHN+XLKi9NMTM6aiySRXOZiu66pcVlX9O43Qxs4RKQjn7ll6gGFkbPqXgGQ+fBF3ZY80vrSL7ol4jXDRY5Het7jz8WakhwbJXORJNaX5OutDyBFy67CfHYpKNqiikhXbzFoqynJsfmNaS4EyWVNTnINHFuuadEkDeeLXQYzj3SN7mGNTUmOWSa5SBLrc56rrE/WPya5uuPVj39XRKTT5r7zminJMZuSdcuIUuTe1jQDZLrOua6ISD+6qfo2U5Jj3kAuksQB5T8bXd1QaXxBN7MsvV0vP/FId6+6yGlKcsyPY89cPZ2cJvPGw+9YdM38XDVPHxV7/mhVRaQnrd0625TkmAeeiyRxnvuxux4r2Tjz1gndj+syxaaKSIf0Xb7HlOQw6oUksT5elEtE+sf5PbkDSrkO8lJLBYO8WhDXK+/FPQoEdy/28/4zyLt29erVp3ZtUyZq+eJed426PBv2h7b3vV6hGotn+bw4a5bfwAgvFSLe19YX6M5x80Y2vRE7z/dSP9q+fbtl8E+6fKdG24SG/Vnrus8qTGOJLCn43eHnpY/20Zt/1htxyBeugXLXC156o4Q+/6Oef28TsYvX1Ja6psI0lsgy04V73lvVOlbn7FmFypWCgvTRE13Xf/LygZ7VLmD0FUXraTc+O2IROvsT8vueq0iNxbX0oPF6rdfHrhuPHL2qhGg49IBuLEU0j9Uba/uVtwv1BatNb4jDPrsnrNlekRqLaznC2NRwYhV1zerVTQfutqhfnzt3bm7LIuhhBXNCA1RtnP/8yP9Y1AZaYzVaVfRndJMGAPu03nitQjaW0RLFxgLSscOKFY1b1oWb1/9srKPamBQ045byqfY7afQNYSh4xJv1B1WYxhJZtlVDQl7r3tqqah0tYt6vZ/TH7eRCq246LPjIqjfK2vmn9Mdz5QXX48lbFNg57+28CtNYIksZyC+OseoDud/Oc9BYbwU216O2WSPXW3WTIrnPV3oPPJwuXh7aOSN5TIVpLJHlDY3QLrUYjNLO15t8qs+S1p02GMNW723uGqvy+uyDnrhxZ7F4ofB3P8exCtNYIvdFM0pnNXusWO85We0+UaCH+Y92XU9LtOiz4bpn9ygwAZzbZBMuGdfa+O5tW5B+OTLdGza6BIWzBgg0tGAOpwWrH3ii20VDC65p/PJOaMFBVk4LgkOGv/+fLcnbPeDnpnVF4WtRq4s2zYi0IdpM4+luhrpb153idfVyrSgELqaAokQKuZODSxVyJ8eXKoQ6xM8Qh1i0YWghc5QXMke5evPer1Y4RdHVLr87LAjxnGuRQkROt0ghImdcpBCRk96s2vunK6iiStZcUVE8hYgce5FCRA6/SCGiQICna8ADThVWr3CKoiv/oCiRQtyscXEVIgo2iBQiCkJ4uhMh+/S4OhVOUXT/iZ/7KI9wvU6gEG6gQ6QQUQBEpBBRYMTp+D6owimK7oJiihIqhBdMESlEFGQRKcRN8MWjXVnLH1n0QYVTFN2L5+d+MdhtIIcq5E4BHqoQGvg5SgI/VCE0ILSQBYS2Ley7o8Ipiu4IpYoyKkQURBIpRBRcEilEFHQSKUQUjHp2yDOpFU5RdF8yGhM8hYgCWCKFiAJbIoWIAl6e7pOu8cqNsxVOUXR3vJ/7iCI3eCZSiCioJlKIKNjm6W79MN9hrSqcoug7GuhH8RQiCi2JFCIKLYkUIgotefrOSNuU1p14irppKa2o8ydPPdzt8okQ57cuRWWe+vIGKGovSw8R3SR1e6P50x/9xtm7wdnf2oVdcuZF9I/xj/hCsaQMvLjz3UBlbuTHuYPeOqscrN5/S5+lPyl1J47ZMmD9986PDoZagpPylRvndr95NPm4U3T9n8//Uet6nlVd2aVX9Mwlobk5I0P6NAnKVya/9dHJI8XZzoT63Wb/3Oqi4kr3yl2gpx9XspZD+jhnrJ5+Qhl0KifzL2sMUczKN3rbNK0xFL+NZ/xahV1SrsR3aFE74gvnyR1pX7/fJlgZer5q9BitMe5/sv+5VK0xvvpq8SGNtFLVe80PQUn5zo29h83USAuvzyl6rfPCysXO/Q0rd3h2+1rn3pU1qvy2IlydHLquW96kbGfq06kPvdr2opKjpy927tPTfVRbGKSPY+knlGuVwj83NsbkBYtTITR8mcWlg2uwBBFR49YeCCMbW1UUQLMb8sDfYw5a2xXEpzjcvesF+eAAuRoY7gPXRI8D5vfWDnin89d3iybN2zrGAddEY52d5Yfho5525I14NWbD2UwHXBNNZHaW31c7orSjWuPrG5Stzzrgmmgd0c7yw/BSVzuW5odN8+09wwHXRCaoneX31446hjaAayL/ws7yV9KO2trR3zLti9lbsh1wTeQ82ln+ytoRqR3RB35ZOzXyeQdcE0UG7Cx/Fe2opR3f/VH0xIR6rzvgmijsY2f5A7SjpnbMnpl4fH1ougOuiXYj2Vl+6DsRhjYIcBOXtLO+GcTKrF2feXhRzf6OQDchMv1jsNoRzGRDBLmJ1thZ/hDWBgtWnD9Sa26mA66JAgd2lr8qa+uZStPAM7HjHXBN5MPaWf5qTKfHQpeebuo71wHXRO6UneUPZX3n2sWo2VuXpTqqubHs7Sx/GOujiFA3Rqad5Q9nz8L7TZ68PGN0H0eYG3vHzvJXZ8/c5Bp9jq16McMR7mbqtbP8Ndiz3WvAqEUJQyc54JpoWraz/DY2hvw2pfCdpUtnOLKjT3SEQa8JdHB88ZsHtBMsrAOifWJzkxfyMRvnT2BQHa5XYeXh73baMXHSRwUHm6sOmte4d5K+AQzXqrN0INleO2pnPha9MCfTQfPiQGoRvGyLvGCQjDPIQ/MaF0upzQT1o7wwcMZrR/OU614BmwY5aF5Ih8PCMZKhfqwLBlP4VHPbbicOLTk12EHz+hhsPuoVeRvsSRhgE7Vj9pULqVs+GOOgeSEdDgvHDYb6vVk9MOgmgc7OZB8NS8l08FxmdJtp3APq92H1wECcbKiH5oV0HKx5gS5fVg/03ZbacWv8nimODeMcNC+ks/5dKrIJ9fuxemDAbqUdnQbk+H8RPsFB80J65dt4lYSyoX5/Vg/069bacXNSUf8Tkc85aF5Ir3KbPCVrF1B/JVYPDOxtDPXQvJAeQJ4VzAP1VzYYJ221Y/3BFcMtAY85aN5AgwFD34LC+m1sAuigHceH/tEmLvQBB80L6UG38/rzhSOoP4DVA5OCo1Q9JXkhHScO+m4P1B/I6oGJAgak7Zb2vpEvDHbQvJDOJpNSr9FA/UGsHpg8YDQPX1oQN7pJmoPmhXScYOgbK1B/MKsHJpT7tWP5hUVfFhdPdtC8kI6TDn05BOoPYfXAJNPRUA/NC+loptP3MKD+qqwemHg6aUf9yfE3ri3q6KB5IT3stvYpeeUB6q/G6oHJqLN2vBz384F9I7o6aF5IZ/spSr1dAPWHsnpgnO6iHXmjUn1ynn3cQfNCOk5idCM/1A916VsdtKMr1PPcivZjHx/hoHkhHY13umce6g9n9YBB1M0wX9C8EcTQMs5tAYb5qyYzeiyCvDWJIWVMCzQ8p5HMqBHVU4tzH0wLMowbdYjRQvPCfSIFacGGcSyKGSWiempz5MW0EMO4Wp84LjRvHWLUG9OqGsZ5sE0auqmnLoc3plUzzDvR2tHITT3AO0qQFmqYBxtrRxM39dTjtB+mhRnm5aba0cxNPdB+9QVp4QY7IUY7mruppwFHD5iGNhQcsdrRwk098346k64bjUwZwd3dZMZzNATRwKKGobuydwtqcOL3a/E6TrponLmTAct6KgN90YcazviLhp2lDNrBaOjy/qdLHGTRaHYHLOupDGgkU+MZO6uxP6ARTEHL3umex2snLt3xn2+L8RcNbGp4G41rowxo3BlBy3oqAxrn1GhHw9wYRfI2GKpG0LKeyoCGPTX40aj3IjKg0W0ELeupDOgU4MfksT50CLyJDOhAGEHLeioDOhT0w/boTPgQGdAZMoKW9VQGdEbo9+jREfElMvDGCFrWUxnQkaGfkUcnxo/IwHs+aVlPZUAniH79HR0gfyJD6d3Jpct6KgM6UPT/A0TnqRKRgTdW0rKeyoDOF/3WOhqYlYkMvIALLeupDOi40fEWnTYLmS+sZTBWo9NHx1t0+IyOqHHs/ivHanQY6XiLzmIgkcFeBmM1Opt0vEVHM4jI4FUGYzU6qjSwg05qMJGBNz7Qsp7KgE4uDQqhgxtCZOCNk7SspzKgg0wDSugcVyUy8OYLWtZTGdC5psEodKyrERl48yYt66kM6JjTT1ujUx5KZODZD7SspzKgU0+/SI0OfRiRgWdH0bKeyoABAfpfroJcKIdRBp49Sct6KgMNJqCPAHLhnGFxu5GgdFlPZcBABP1kU4RhVcvo4/DmC1rWUxloEMMYbMGgirEd7GXQDhgAoVxqsvsHknawlUE70OCJMViEQSFjO/DmC1rWUxkw8EK51GL3DyLtYC+DdqBBG2OwC4NaxnYQ+ZzGsp7KgAEfyiWS3T+YtINXGbQDDRYZg3UYlDO2w91sFvJUBgw0US612f1DSDt4l0E7QLDwPkGwEYOKxnbgzd20rKcyQHysIYdLHXa/qqQdfMqgHSDYGc3hAs8rBkWN7cCzH2hZT2WAYGsjDpe67P7VSDv4lkE7QLC2MYcLjBkY1DW2A8+GoWU9lQGCxU04XKLY/UNJO/iVQTtAsLkphwuMWxiUNrYDz46iZT2VAYLdzThc6rF7hpF28C+DdoBgeQyHC4ydGFQ3tgPPlqNlPZUBgvXNOVxABtwZYmyHSmXQDhDsj+VwgfEbFwWM7WApg3aAxYYWHC4NDAuHxnaoXAbtABs+4u4yXm0x2Nl/ZQwENovEcz64yYtXi2SgZT2VATaaJHC+k8mLV4tkoGU9lQE2qSRyPm/Ji1eLZKBlPZUBNrgkcb5KyYtX46YPClrWUxlgc0wy52OSvHi1qB1oWU9lgI01LTnfgOTFq0Uy0LKeygCbclpxPt3Ii1eLZKBlPZUBNvS05nxxkRevFslAy3oqA2wGasP5UCIvXi2SgZb1VAbYSNSW831DXrxaJAMt66kMsFmwHeezhLx1XpEMtKynMsBGQzjuZo3VQuLo/9c1VioDbMbqcJdxe5EM9zpnwUYux13G7UUy3GvcHhpOucu4vUiGe43bQwH1LuP2IhnuNW4Pm8/u53zgjhe3F8lAy3oqA2xc68j5Lh0vbi+SgZb1VAbY9NbpLuP2IhnuNW4PG+Y632XcHjd7/tVxe9hs14Xz8TZe3F7UDrSspzLARr2unHVSXtxeJMO9rrHCJr9udxm3F8lwr3H7TVGHasGmKX+b4X+esjBjNtYQrDcusFrZ9SDDOQRVcaJDpwxf1YA6axvScIEQHrpIRqyu4fUjDAjDA1GHTZT1DPdFYxs6axSb3BuwdNyc4MU6Un1mgDRk6RjIQYf+PmYkNWLp+AqQF1NANDtvwtLxdR8vpqTGrEwzlo6v9uibjFhQw4c51FbDazyQHsGcfW/maFoNr+xUYY5fO2bYtGGGXitm+CYzRyCROUbxBiMDjZ72rIN1ZQ9cZzYAdWQDssomKAebsK2s7KWM4fnQKdqwThGCnYK3YoJKp7vc0DulO8+wI9GVatx9R1cDcEcc3fGBKzg0QulrUKQxYudnUKAxguVvUJwxolPJoDBjhKOyQVFGj7+KQQH4t8Ww6oS7Otzt7qtI2LjhvQFfPl5jyvkff1fW31r1TZsL25ztD/UM7plyXZn2wsxfp50MUFOSt2zpOciqDkwpuNr2srcKnQ5nwduxf+L2Y+5ToV1rWFZMNb486S46JiEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhYUr8LwAAAP//AwA= - - 00000000-0000-0000-0000-000000000000 - - - - - - 7F0JdBVV0u68lxUCSUgChCWEsEOCZIUAed1AWFRUBMFRGfawKAQNiciwiiAogiKjQ4I4wjgyAi7sjgIvCHFhAGVVGQIYNhWVAEIEBf6ufrfITaXvI28w/+nk3O+cTtJ9l66vqvvequrbacVLUZQbOuA3INCm/3iw7+gxGeO7jR83bnxGTNSA9MwJY8ZnpHZoGxfXNj4xPimxbVxSu3ZxMVHdssdmZWemp2akZ2dlDh0bE9Une9jYMcPvTp/0wPjH0jNSk5Li4zvEpae0H94+KSkpoZ0PnCXU6Lxtz/Tx49KzMie17ZqZ/ri3ftzvSdd5qg3NHD56zJPpCSPGBYx/PD0jIztz2ATvEUOzhkIlf39/G4gY3EJR4vXff50VHBhg1/8Igh8JqxXFdnW6TWmh/wH47YZNCWPUun08vqj1P/x7LP16xb4de1ont7y+uuPvevm5Va7yeGWGoq1Jce0E99J/gLjQ2xalbG8RIe8Nur/6gRDndSX4Ga/oorvqTaoDvc1m5cEgJQB+498lKFLLHHIdd9IjfNtDG1532uNPqGX7KynD/af/NqXGjem2GbhvOTJHJ3wRaz9bZJChwuP+MVYnofXkPpYmw1sG/94Tu2nHrCGtNKyD+41t7RVLkznOWYYKj/t91WuDmnZroX3a6eNOliSDAqLgvGWwjFpq7Lu5my1J5lCfble2N2umoeA8GSyj5AKqrVxuSTIPD3tu0XD/JhoKzpO5WUbI9ZqZP9uSZAqMeyVKQ8F5Mq4RLuomGaxTfePABZYks71am5e6L2moISmeTD4ro+Qy5+W/YEkyu42bOkJDUmWH5giNktvS8cUpliTzlXEfhGtIiieDZZTczGYPHrEkGdelE6yh4LYyM37wTTJY5+eUtzItScZlkQANSZW9zAI0Sq7F5A1BliTjElBhl1mAiWUUcpnpxM8d2mJJMuhgouBlyRSplNyAsIfSKo07g0AytN25p0PurzTuTGkyikbJpU4e/ZdK484g8B6h5H4ZcM9RS5I5auLOlBY+mMQzAdrZS6NUS5LZwWZ1JMX3h/MKJXe64Z+cliSDszqSKnuZRWiU3NMNfomyJBkUEAXn+0NfjJKLmBjX0ZJkjpu4Mwi89Ci5o2u65FiSzJfspkZSfH84KFByCV+tnW9JMi4SioakSmVs2HBNyW2emZVtYTJFKpLi+8OJlJIrXt4v3ZJk3GU0zX2zInXgwPx7LUmGCYplM8wcTUoucKPfY5Ykc2vLlIQAuN9k0OXBldQy1NFUtAnrE63paLqzDI00cf/MllevVzrLUK8Z9zc9+MB/LUnm1vdMSUID9x8N/lunSnrPlIQAuN/xav9IS5JxZxmaN8P9oAbnr1Q6y9B4BvcHX06wZhLw1qNZSXoW99+9WJxbSUezkuAM969HJFkz0nRnGfoUAPfbz4+4v9JZhkaauD9q1H+zLEnGnWXowybc91/x0eFKZxkaNuP+n+6ZdMOSZNxZhj7TxP26jaLfqXSWoTkA3O916fhcS5JxZxn66Bz3x60qqFvpLEMTGrif2qVRqiXJuLMMXaGB+2+FDg6qdJah2Rncv3xlaetK97AJ0XJE4W+2Fw+rSt7mUZ9+kaJefHLPQkuS6WeQaa8tTD688MD9HVxkBs7N/9F/kqo8v3JYYMKqMv39O/+sNQeA8F5RMVmJyRqSgmNvvfXn5SO2FTqP/z1lzY5ZeSol127XFrslybhilCQNScGxKet2HUzoAvfRtquL9rVzUnL5P9n+Y0kyOQ+N/CS0TiJ7CpBkkPnd98K+hh3D8pAMJdfhwxXWTAI+YszqCRqSgmNpDX5JbqeT8Q/OKog9VqhSchPbDP7BkmQaPrZ6yLorcRqSgmOPBgZ941xmz5vx0jHvVoWFKiX35ZYfDlqSjCvj0k5DUnBsac6ylj0i7XlRmxo17jbnkErJxYb/eYUlyXS9cvLSPz+4Q0NScOzdB54KTb72u9P/0eL3InscVym53AXjXrUkmU+M6DFWQ1Jw7Mu1XQLm9b/mLBq65HBr/bKi5A7kr/azJJm7GjzR+tTUNhqSgmNb9/fxL5h/WPWfFnTHzJP6PULIJe6f0dySZNCNQVI2E/eFktN6LbGmO+NukTZi5KYBi460Pq73q+Uei9zgWDngy5qVyNG89Je6o4sdSvTkIT2/LSzTX96E4vsqzaomx5ipG/odtmnBC+av3qjfI5Tc88W+cyvNqqYe8Z2vP/J3nUy15MKMz4+qlJztqS9SK82qpvj8u7fXUP20IUMm9k/JP6BScm1+6PMPS5LJN1nVtD4w782We/20oqajpmw9UqhSchHjfrXy0ByhISk4Fv3OgROhJ8K1IY1Gh76qX1aUXKdvLvesNKuaRizYE1BTJ6MordvtDWvjpOR8uv/rm0qzqmn4hbTLfhvPq0iGkju055vKs6ppaqu4Wfc/fl7VlniP/vzrbSolN2dj+OJKs6qpV+zX0zMPH1Pz/j2m/3DH+yol98bV53pVmlVN1H2h5IZtOljKN5v1su8n8PJmQTQTsCnHsKFX+RmeQobwMikAXkz1vg2GvuYVDdzM25LfcL7EhISE05G/wXlmbPW7CP3OiBqpaHt27drV7d7f1acmTpyYV/MX57mff85oMkDRRupYNvWaCvsfh19yHi0o+HPzHq61LTdWX1dH6eU7Glx27t61q3erZEVbEP1ViNnlsFspv7Jeocr6I71bXCaFx8xI4HFQTu67l526ztadmW/Tug/v09+S5JiXm8ccxDybG0vD8ec+vWaQrm8rcubm5OTEvqJoMa9N+cKS5Mxced1Su3wyDDLrUpddNCz0+EDxZXnP5EmvWpKcmWsP5E6PcZHbssmwnHJsoaKJSPcc2OYHS5Izc/VB6D2/eoGlZqxVi5xgKa22lyYivW/DkWctSc7M9Qdy/ew2INN7n5+LXLe/KpqI9McNlr9uSXJmoQAgbnMNTR8wIvI7nVLh98wEmyYi7Qx1zLYkObPQAMkZwtQ9aYya2jxvTUR60j+fqGlJcmahAgz5Fwp9jXtrZO1DTtj3zrFrItK7ewcdtCS5YyahwxLdIv/e5GsMIPb1h4zLT1lm00Skd7/w+YeWJIeLUZEkTgUj430MC01YWGgM+WnV7JqQ9MGZTSxJDtdAI0kkd1YzyM1YOLHQaLd7kG4hAenQmIv/sjC50u+DinxIEell55fOsjK5UusPeN/yrzkXwc3adXSL654z8znXnPnpmoXJKXlIkpFb9+XHrsuwurdr4IjWBw4R6UY+84dZkhy71xg5xYgKYKAY+56L3KFeroHjZAuDnCnprKUdHrYkOTZK5iFJtNzWRB+YrHP2jXJCaBPxxlabJiI9Orf4G0uSY/Mbs1ywQQ6E3znCxyDx3arNhoXm73NZzox0o9hV+y1JjnkmeUgSjoHwTS9VN4b8Zl1/ADcrp/1HuiciID2076JsS5JjPiW7LCPKkNubflYFR3nScJsmIj1tVNRiS5Jj0UAeksQBpdYkV+Q9ZO93RsStS6qJSK+/MXK8JcmxOC4PSaLlcscphrs1767vDXKPPOSliUjf3b92T0uSYxF4HpJEy6VvuQaW2dWnYZExn1054LKcGemoM9sWWZIcZr2QJHooZlkuEeneW7ubvs9a6ZO8vKeCSV44/uobvzjT0tJ2fPuO7WaSF44vXnHJufmjjz46udQmzINO/qTJ0KqkLFPPp1ZISMgdXb21uTpCrx12Qmb8/dl2rUjPhM/f5q3pykurf/mYoSxHpl3o2L80u2mLKqMskSf1nK6kR9t5Gz5yXOf/Go6/d6RdW7Vy5crRa1zzeH6d48Zt2DRMHOJtP9KlcZVRlsgzG9C//8HNG3yMK+z13M+NKy5vvZ5Tmjix+MNkX1Dao2/n7XXqt2vv4yttwmB/e8vXp1YZZYk8ve76bRZ70kfbot9mnXt95oQrbbDTrsFt9+JwX+PK69pwr/NYQUFB3Gq7MO3zzmMj1SqjLJHnCFfG/hcCjeONE79T9QtsYcdVrttyZlNXoq9h89MqKC11SUl2kyYA7SdmJlZJZfGeKCpL14X/7ge/V/UrqtOUfrabyoLb8/M7z6j67dh6ejebMBV8pfbd2VVGWSLPVt+dMfV3RdOf/xY82emsEwb22h+6nMXvpnsZt+P8f/4Et6d/7ApF+FBg7jN3PltllCXylKOjo5cPOK9oo3XS09acNc53rauXputsZa1sL2NseqLuzzA2rXs9xkv4eGhIYWhklVGWyPMGv6pgx3UV/Kqdfc4bA/ySrYoxsPffdUOF2zBt1gVwVtNS/6UIHxT+vq76iCqjLFH4orsO/Qfvua6CC9G8/XlwSou7zXQpMengDRVmy/ixF5xQ7+Hx4kfGFzqnXuaVdW7XdB9Y6BJUmymgJqfBHBMN1vlsSM8TnAZXtVywFTQ41MtEgxCQ4e//T02arR7wd6NdUfpapHXRohmRNUSLaTxdzTBp4DeTzS71Sm0oBD5M8b/FGhZ3AS41yK0CX2qQWwXE5V0w1Gjz1wOrnKHo0y5/9w+ETINrkUFEQbfIIKJgXGQQUZDeuc7UFlXUUCXPXJmhTA0iCuxFBhEF/CKDuEsEePIM+Nuwz2ZWOUPRJ//+t3hQZ5ZUEBlElGwQGeQpQRJCZJBcQXKix52j369yhqLrT/COMjOIKKEhMogo0SEyiCgBIjKIKDHy9KDFc6qcoegqKDCUyCCiZIrIIKIki7uMlFnyxdNVWcVDU85VOUPRtXhgKJFBbpXIoQa5VYLHzCDuEj/UIKKE0H2JsdOrnKHoilBqKGoQsySSyCCi5JLIIKKkk8ggomTU1XNt8qqcoei6ZP9bPKSHBFYuSWCJDIKJrVEksSUyiLuElyfrpO9+x6e4yhmKro7HO8rMIKLkmcggoqSayCCiZJunq/X3Lo45UeUMRd/RwDvKzCCi1JLIIKLUksgg7hJ9nrwzcvHHoCVmhrqmlDXUsQNf3dvz+/0hzlMuQ0346utiMFQ+Kw8RnaTLM6v81geecg4J3d7jpx/POF+eeja79z2bnMrOpOfeygxzfrjfkf23s1ud/n2jP/HdcU7d3rO4XfN63zmnTX9jwX2nTqo1IpuoQf3WC4/XmfN2SvQUL62//bf2HTLD8hIO9gl8JuioOrnBrDPZXrOdDye3XT8u+YQ6wCj3zutglO9Rjxvl2c4BRvl+ddN3MYv+MGWIclaDx50O0JWhfuKYt8/rpzPqaw9uaO/Ta5M6yzblxnt1r27NytnolXtmq3Px4RX31daVsaGXQVr9/tqiN3XSzhvJ+bkB/dY7Rcc/O7J7/EX1unPNvM+mF9lXO1McB3bUr19bm7w544XEM7OcfQ/nnIpPOKFmGuWvOTsZ5b5akFGe5extlO9XleIzpf5H5eTFr/WF1PD3LA8eXJcViIjyS3sgjcxrVZRAs3N14O+vjz0/+oshUxzu3vWCerCBXE2488Ax0e2A9X30Dd7pTEmemB9SMMcBx0RjnZ3Vh+Gjsb5lrL8+v+fLzzjgmGgis7P6fvoWpW9P7/ypVT3biw4cgsy8FDurD8NLI32b9W34ybQFzzr8uDZlHtSy+gH6FsnpAHNyZvGFndWvpm8N9W3EsSut7gqf64BjoqUGdla/ur410LfCtf7bBnWZ6oBjosyAndUP1Lf6+tZ/cpv9G5/PdsAxUdrHzurX0Ld6+vZ2nz2X3i9+xhHIXTs0p2dn9eHaieB0UMNNXtLOrs0g0qammxSZ8TFYfQtmss1LGvnx5HsfdQS5ydbYWf0QpoM3j2QsHvVBpiPYTeLAzurXYrq+5vXmhsdDsh0hbmJYO6sfymx6OCu87+z3RzhquQmn7Kx+GLl2Qt149nZWP5xdo4gwN06mndWvze4FvwdW3vsf72xHuJsnqHZWvw675xZf6Dmx9pJpjtpupl47q1+X3dt3HnWsvda9jwOOiaZlO6tvY2PIb1tXtH6pwUzH8vMfBMOg1woucHzx2wzoJyjsAkT/xOamrhc3GCIwqQ7HA1l7+LuTvp19++VJ8x8a66B1+bWT9A1gOFaHlQPJzvrWI3bMiJ/rZDpoXRxIFcHLtsgLBsl2nDy0Lv+wlPpM0D/KCwNnnL49vTNrTPGhiQ5aF8phU0ycZOgf+4LBNJ7rh9aFchxwaVTkw/mTMMAm6NsPH8RUi7k6zUHrQjkOwjQMhv59WD/GoMv1YxYy+5eyV0neA/r3Zf3AQJykbwNTl7WYMfdJB60L5bApgkSXH+sHrt1k+PtE3LjGQU85aF0oZ9d3mcwm9O/P+oEBuz3XD60L5dVL8SpJZUP/AawfuK476NvUOV4jTqSMc9C6UI4DPX12Af1XY/3AwA5f09750OrVr1yY4KB1obwGuVewDvRfnXNOOpbpp6RuTc6BoW9BYf/QD0wAqWzfrC6UB5XmdfOFI+i/BusHJgW4ye/4LSFrW8+HHbQulAeX1vPNd3ug/5qsH5goYED69IlWxUvXDXPQulAeUtruN1+jgf6DWD8wecBo/nw9bVCNwHQHrQvltUpfhzffWIH+g1k/MKF04fqhdaE8tBSvkpdDoP8Q1g9MMl317dL9wTs6rnrAQetCObrp9D0M6L8W6wcmnm6cvWhdKIdNMXnlAfoPZf3AZJSmb74FHRIeuzHCQetCOVtPUebtAug/jPUD43R3fRtw+tx7XRdlOGhdKIdNMVnID/2Hs35gIuvB9UPrQjk673TNPPRfm/UDDlFPbr6gdSOI08TPbTW4+asec3oUQV0orycoq8ndpw2YUyPqp77JebAsiBs3IonTQuvCeRoIyoK5cSyKOSWifhqayItlIdy4Gk0CF1o3kjhmfFktbpwH36SZm34amfDGslBu3mmuby3c9AO8owRlYdw82FLfWrnpp7GJ/rAsnJuXW+tbGzf9gP6iBWW1OT8hRt9i3fTTxMQOWIY+FGxt9e0ON/1EvjIn2XAamTGCe7mpjPvoCKKDRR1Dd23LC+pw4vdr8ThOuuicuZMB23oqA33RhzrO+BsdO6UC9MA7umb/6RIHWXSa3QHbeioDOsnUecaLlb8e0AmmoG1vdc59DRNe3/LrqRv4Gx1s6njzzjUvAzp3PGhbT2VA55w67eiY81kkH85R5UHbeioDOvb4VXrsD516byIDOt08aFtPZcCgAD8mj/1hQOBDZMAAggdt66kMGFDQD9tjMOFLZMBgiAdt66kMGIzQ79FjIOJHZDAbI2hbT2XAQIZ+Rh6DGH8ig9n9Sdt6KgMGQfTr7xgABRAZyq5OLtvWUxkwgKIfbcfgqRqRwWyspG09lQGDL/qtdXQwqxMZzBIutK2nMmDgRsdbDNoUMl94VcBYjUEfHW8x4OMDUX7s/iPHagwY6XiLwWJNIoO9AsZqDDZpcgYDzSAig9l9Qdt6KgMGqvTz3xikBhMZzMYH2tZTGTDIpV/txgA3hMhgNk7Stp7KgAEyTShhcFyLyGA2X9C2nsqAwTX9b7IYWIcSGczmTdrWUxkwMKf/BBaD8jAig5n/QNt6KgMG9fR/t2JAH05kMPOjaFtPZcCEAP2XqyAXysHLYOZP0raeykCTCRgjgFw4ZyhuFxKUbeupDJiIoJ9siuCeavExjtl8Qdt6KgNNYvDJFkyq8HqwV4AeMAFCudRj569J9GCrAD3Q5AmfLMKkEK8Hs/mCtvVUBky8UC712fmDiB7sFaAHmrThk12Y1OL1IIo5+baeyoAJH8qlATt/MNGDdwXogSaL+GQdJuV4PZRnsZCnMmCiiXJpyM4fQvTgUwF6gGRhU0GyEZOKvB7M5m7a1lMZID/WzIRLJDtfLaIH3wrQAyQ7m5twgfsVk6K8Hsz8B9rWUxkg2drChEsjdv5Qoge/CtADJGtbmnCBMQOTurwezHwY2tZTGSBZ3MqESxQ7fxjRg38F6AGSza1NuMC4hUlpXg9mfhRt66kMkOxuY8KlMTtnONFDQAXoAZLlMSZcYOzEpDqvBzNfjrb1VAZI1seacAEZcGUIr4dqFaAHSPa3NeEC4zc+FOD1oFSAHuBhwx0mXJpwDw55PVSvAD3Ago925cxXK5yf/UfmQGCxSJzJBzfN8tUiGWhbT2WAhSbxJt/JNMtXi2SgbT2VARapJJh83tIsXy2Sgbb1VAZY4JJo8lVKs3w1LvqgoG09lQEWxySZfEzSLF8t0gNt66kMsLAm2eQbkGb5apEMtK2nMsCinPYmn240y1eLZKBtPZUBFvR0MPniolm+WiQDbeupDLAYKMXkQ4lm+WqRDLStpzLAQqKOJt83NMtXi2SgbT2VARYLdjL5LKHZc16RDLStpzLAQkPYyvOMVSF59P/1GSuVARZjpZYzby+S4XbnLFjI5Shn3l4kw+3m7UFxajnz9iIZbjdvDw20cubtRTLcbt4eFp/Bll+OvL1IBtrWUxlg4RpsdDGnWd5eJANt66kMsOitWznz9iIZbjdvDwvm0sqZt8fFnn903h4W23UvZ95epIfbzdvDQr0e5czbi2S43bw9LPLrWc68vXsZ/ve8fUzNTcNg0VSAjfvPUwpzZttyyXr+AasXOx7E7UNSFSc6DMrwVQ3osyFXhg8I4aZrwIg14l4/woQw3BCRbKJszJ0XnW24WKPY5N6ElePiBG92IUUzB6QZK8dEDgb0TZmT1IKV4ytA3swAzdl+K1aOr/t4MyO1ZG3asHJ8tQfK67Kkhi8LqL2413igPIIF+z4s0PTiXtkJZIFfJ+bYpDBHrz1zfJNYIJDAAqM4zslAp6czriRlN1waG4C6sgFZYxOUg03YXqzt6fFjCuGiSGEXRQheFGZPTNDodJUbRqd05RleSPRJNa6+o08DcEUcXfGBT3BohtKPMySfsfPnDMhnsAI4w/EZnWqcwfgMR3XOUHzEH8gZAP9WuKdOuKrD3eq+qoR1a997ZFrA3fNaHLyqPvvSpoxfvYudzydtiOrcXNGG2ddur/ttDa3grnG/jqz1o3rX8qv13t/prcFFh7NgaXw66aO97ktBr5tnJNThX550lx2TkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCwJP4PAAD//wMA - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 6a1ae911-ccb7-4804-8763-8ba9c64a10e6 - 1 - 5efd7ee4-b8a8-4585-b98d-e677c6b279a5 - Group - ICPRegistration - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 4448b634-4e53-47d6-af6c-5a9934dc5bfd - 1 - 923b8339-67c0-403a-9c9e-72a619284d02 - Group - ICPRegistration - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c993d633-1277-46bc-9ed9-0923b2a86113 - 1 - 090403fe-8bf9-4761-beba-83daae4515b0 - Group - RANSACGlobalRegistration - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 04e7ad87-9bd3-45f7-a2bd-b81bda19405e - 1 - 4188d8ac-811c-43a3-96d3-b8b10286c392 - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 13361bd9-589e-41cc-a48b-01db0dc4226e - 1 - f2b532cc-43a6-40a3-b6ae-c286bec49e8a - Group - Data - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - e2048237-6050-4692-b103-a07bcd1d8970 - 1 - 2cea4cf5-b5dc-4796-b08e-c1feb5419f60 - Group - Python 3 Script - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c4129e20-102f-4fb5-9a08-fcf6dd038ec9 - 1 - 35ba8784-e8ec-4ccf-9048-0ac98f8b8afd - Group - Point Cloud - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 25f2146b-f8b2-423e-962c-60f60561b913 - 1 - 59dacdeb-84eb-4dc6-a4ad-2a26cb53e167 - Group - Geometry - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 00c7b7d8-c240-4a0d-bc1e-1ad40d530c85 - 1 - 5d2e2666-506e-4148-a442-1851b8182fbe - Group - Unit Y - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b80be26e-108a-4563-840e-043861f16abc - 1 - bf9a662e-68a9-46bd-930a-94184b8ca628 - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9ae7a63b-41c1-48a3-8b84-2e747abe3612 - 1 - 176164f4-4ddf-4112-8579-bd3c43b4918b - Group - Value List - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9e718bc9-0176-42f8-975f-40e12421c958 - 1 - f21c4d1e-08fd-48ed-8a21-2d8d1f05f9d1 - Group - Point Cloud - - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - 76760db5-9656-4cc3-9ee3-14f011c46fa0 - Boolean Toggle - Boolean Toggle - false - 0 - false - - - - - - 2043 - 278 - 146 - 22 - - - - - - - - - - f80cfe18-9510-4b89-8301-8e58faf423bb - Flatten Tree - - - - - Flatten a data tree by removing all branching information. - true - f946b491-6acd-4766-a589-125fa9d33774 - Flatten Tree - Flatten Tree - - - - - - 1301 - 312 - 94 - 44 - - - 1347 - 334 - - - - - - 2 - Data tree to flatten - 9de8626b-a8e8-4cf0-8229-e879cb193e71 - Tree - Tree - false - 7079096c-52b5-4da9-8fbe-4d3bacdd8f3b - 1 - - - - - - 1303 - 314 - 29 - 20 - - - 1319 - 324 - - - - - - - - Path of flattened tree - 663e2eb4-f382-4f2e-93e9-c096f97f7229 - Path - Path - false - 0 - - - - - - 1303 - 334 - 29 - 20 - - - 1319 - 344 - - - - - - 1 - - - - - 1 - {0} - - - - - {0} - - - - - - - - - - - 2 - Flattened data tree - e4c45281-d336-43da-8de9-7518738c33cf - Tree - Tree - false - 0 - - - - - - 1362 - 314 - 31 - 40 - - - 1377.5 - 334 - - - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - f99751e9-0acc-4562-9185-654605fa1a95 - Move - Move - - - - - - 1608 - 204 - 148 - 44 - - - 1680 - 226 - - - - - - Base geometry - 509a2a68-6b3d-463a-af16-b413f7a0a7bf - Geometry - Geometry - true - 42d4ac43-8b35-4dc4-aafa-25e746391f6a - 1 - - - - - - 1610 - 206 - 55 - 20 - - - 1639 - 216 - - - - - - - - Translation vector - 5e4b56f8-e57b-41ac-a7f7-64a277b8d542 - Motion - Motion - false - 0 - - - - - - 1610 - 226 - 55 - 20 - - - 1639 - 236 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - 6527813d-473b-4a75-be13-db5b5ed846cd - Geometry - Geometry - false - 0 - - - - - - 1695 - 206 - 59 - 20 - - - 1724.5 - 216 - - - - - - - - Transformation data - ac6cbb74-fb06-42c6-99e5-7ab1b68ac1d5 - Transform - Transform - false - 0 - - - - - - 1695 - 226 - 59 - 20 - - - 1724.5 - 236 - - - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - cd8088ce-ec24-418c-8630-d84687f657f9 - Button - Button - false - 0 - - - - - - 2401 - 1424 - 103 - 22 - - - - - - - - - - 06953bda-1d37-4d58-9b38-4b3c74e54c8f - File Path - - - - - Contains a collection of file paths - false - All files|*.* - ae13e058-b13e-46a6-80d4-ff6430a32f0c - File Path - File Path - false - 0 - - - - - - 2312 - 1744 - 50 - 24 - - - 2337.0237 - 1756.3296 - - - - - - 1 - - - - - 1 - {0} - - - - - false - C:\Users\eleni\Desktop\DC\temp - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 3 - - 150;0;255;64 - - A group of Grasshopper objects - 834f4a6a-c436-4b4e-b63b-73f16497b008 - 1 - 0c910bcb-3688-41a4-9dd8-99f12314d7e9 - Group - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 3 - - 150;0;255;64 - - A group of Grasshopper objects - 4500d6fb-d2e9-4919-8614-324a841c0700 - 1 - 6fdf84d8-9b55-4201-90af-f986cdd36176 - Group - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 3 - - 150;0;221;255 - - A group of Grasshopper objects - 0ebd4627-1b32-48db-bcb2-64c7fbfacd63 - 1 - ac8de6ad-2b06-4484-ba4c-199e45fb6139 - Group - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - a5547a84-e4e2-480d-a053-e131b414c768 - Panel - - false - 0 - 0 - Assembly - - - - - - 2294 - 1562 - 101 - 28 - - 0 - 0 - 0 - - 2294.202 - 1562.4156 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - ec7b2da5-c7a1-42a5-8d07-a43cf6265f84 - Boolean Toggle - Boolean Toggle - false - 0 - true - - - - - - 2194 - 1709 - 146 - 22 - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFCloudCloudDistance - - - - - - true - 2 - - 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 - - a08997f7-053c-4e48-ad6a-060f45d3cc09 - true - false - true - DFCloudCloudDistance - DFCloudCloudDistance - 3 - - false - false - false - false - - - - - - 2230 - 185 - 202 - 124 - - - 2325 - 247 - - - - - - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 6 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - 1 - true - The source point cloud. - fc28dc8f-e404-4414-b0ad-d37f4e681734 - i_cloud_source - i_cloud_source - true - 1 - 2 - true - 7514d03c-6707-4fad-a690-58ddf550d4dd - 1 - The source point cloud. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 2232 - 187 - 78 - 40 - - - 2272.5 - 207 - - - - - - RhinoCommon - Rhino.Geometry.PointCloud - - - - - - - 1 - true - The target cloud. - 98c21b5e-1ddf-49cb-a168-00c9622dcc96 - i_cloud_target - i_cloud_target - true - 1 - 2 - true - b01a0b9d-01ad-46cd-992c-d420e8eeb90c - 1 - The target cloud. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 2232 - 227 - 78 - 40 - - - 2272.5 - 247 - - - - - - RhinoCommon - Rhino.Geometry.PointCloud - - - - - - - true - whether to swap source and target - 4beb7c3b-e0ca-4022-95e7-88569fbdba49 - i_swap - i_swap - true - 0 - 2 - true - 76760db5-9656-4cc3-9ee3-14f011c46fa0 - 1 - whether to swap source and target - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 2232 - 267 - 78 - 40 - - - 2272.5 - 287 - - - - - - System.Private.CoreLib - System.Boolean - - - - - - - false - list of calculated distances for each point of the source. - 433cdf07-3e42-4fdb-ab66-80a716ac7a28 - o_distances - o_distances - false - 0 - 2 - true - 0 - list of calculated distances for each point of the source. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2340 - 187 - 90 - 20 - - - 2385 - 197 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - root mean squared error between source and target. - 33b9d59b-0348-4bef-aaf9-c3fec0a11efe - o_rmse - o_rmse - false - 0 - 2 - true - 0 - root mean squared error between source and target. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2340 - 207 - 90 - 20 - - - 2385 - 217 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - max deviation between source and target - 4bee2d45-2287-4820-826f-dc547f06ebca - o_max_deviation - o_max_deviation - false - 0 - 2 - true - 0 - max deviation between source and target - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2340 - 227 - 90 - 20 - - - 2385 - 237 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - min deviation between source and target - 7dc19743-2216-45d6-a868-ecb0f1807a13 - o_min_deviation - o_min_deviation - false - 0 - 2 - true - 0 - min deviation between source and target - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2340 - 247 - 90 - 20 - - - 2385 - 257 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - standard deviation between source and target. - 0315611f-537e-4e10-a2f0-476058edad64 - o_std_deviation - o_std_deviation - false - 0 - 2 - true - 0 - standard deviation between source and target. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2340 - 267 - 90 - 20 - - - 2385 - 277 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The result of the distance calculation. - be8d7df5-e1ef-4da9-80c1-61cffe547272 - o_result - o_result - false - 0 - 2 - true - 0 - The result of the distance calculation. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2340 - 287 - 90 - 20 - - - 2385 - 297 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFCloudCloudDistance - - - - - *.*.python - 3.* - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFVisualization - - - - - - true - 2 - - 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 - - da42aa4e-43bc-4791-b3d5-30a07cc46e10 - true - false - true - DFVisualization - DFVisualization - 3 - - false - false - false - false - - - - - - 2620 - 665 - 185 - 64 - - - 2707 - 697 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The result of the distance calculation - 8b0dd0c5-e9c1-42c2-8bd8-0e576c36e83d - i_result - i_result - true - 0 - 2 - true - be8d7df5-e1ef-4da9-80c1-61cffe547272 - 1 - The result of the distance calculation - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2622 - 667 - 70 - 30 - - - 2658.5 - 682 - - - - - - System.Private.CoreLib - System.Object - - - - - - - true - The settings of the visualization - 2ef0f6ee-da0f-4da1-819e-884d08a89ab2 - i_viz_settings - i_viz_settings - true - 0 - 2 - true - 0 - The settings of the visualization - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2622 - 697 - 70 - 30 - - - 2658.5 - 712 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The geometry colored according to the distance results. - 121d2e69-f66c-48cf-a5cd-e179caa57e19 - o_colored_geo - o_colored_geo - false - 0 - 2 - true - 0 - The geometry colored according to the distance results. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2722 - 667 - 81 - 20 - - - 2762.5 - 677 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The legend of the visualization - 7dee9010-7a3f-443e-a7fa-f6ae5ed64c4c - o_legend - o_legend - false - 0 - 2 - true - 0 - The legend of the visualization - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2722 - 687 - 81 - 20 - - - 2762.5 - 697 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - Histogram that shows the frequency of the values - 2a2f82f9-fdbd-4d80-8af4-69136e00c126 - o_histogram - o_histogram - false - 0 - 2 - true - 0 - Histogram that shows the frequency of the values - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2722 - 707 - 81 - 20 - - - 2762.5 - 717 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFVisualization - - - - - *.*.python - 3.* - - - - - - - - - - - aced9701-8be9-4860-bc37-7e22622afff4 - 9bde5adf-1aa6-414c-a1d4-8832edea1934 - Bifocals - - - - - true - Add floating labels to all components, with a few exceptions. Double-click to activate/deactivate, see right click menu for options. - true - 6d080a41-39e8-4186-bf7e-97536ddc0c50 - Bifocals - Bifocals - true - - - - - - 2519 - -1 - 90 - 28 - - - 2595 - 13 - - - - - - 1 - List of component names to exclude - 618fb01d-f284-4950-8738-d0a1fdd888b8 - Exceptions - Exceptions - true - 0 - - - - - - 2521 - 1 - 59 - 24 - - - 2552 - 13 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 7514d03c-6707-4fad-a690-58ddf550d4dd - 1 - f82fd56a-da22-48b5-931f-8bd7e59c4b99 - Group - Point Cloud - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 87f5d329-7a96-41e3-80b5-d68dd51520d4 - 1 - 68482e45-a0e2-466b-b024-0dc406891b01 - Group - Mesh Explode - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 72a71646-1ad0-4920-bf80-5cc7e11d7b21 - 1 - 127e3ee4-e42d-471f-beb4-7820004aef36 - Group - Populate Geometry - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b242093d-115c-4a90-832b-a50e2271116a - 1 - c1b3d7d8-4378-4549-a63d-789a97e1e9a3 - Group - Point Cloud Attributes - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - aa0752e8-e19c-43e7-99f9-263d5e8d7a0d - 1 - d14b099a-03c2-49a8-a19c-f4987e56f3ce - Group - Mesh - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 51b3a4af-6648-47a7-8c8f-ef1db4e7d077 - 1 - 0cac1f19-83aa-4634-8a89-f6777722a4ba - Group - Populate Geometry - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 4febcd3d-3889-48b3-8717-9f54bd7f159a - 1 - 32f862ef-e76a-40a5-8b4f-48d3049de75a - Group - Point Cloud Attributes - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b01a0b9d-01ad-46cd-992c-d420e8eeb90c - 1 - 884e9540-bebb-4f33-901a-8f15788d9ac2 - Group - Point Cloud - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3793dcf8-bbf6-475c-b6a1-7858436c4496 - 1 - 91893fa3-56c6-4868-bd84-6c954504afe5 - Group - Flatten Tree - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ef69edb6-8129-4327-949c-29e489d7da3a - 1 - 4e3f6573-8958-4749-ac49-324ce5b1c9d3 - Group - Move - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - fc46972f-be0d-48f5-a51c-1ff43bd476f7 - 1 - a6aae418-2614-436e-bf70-54220ebb0ae7 - Group - Construct Point - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b7cadbb0-f3f6-441f-a8e9-5f535c4d5341 - 1 - e30bf6e4-0f8e-4f39-a7b5-796e9c5d92a7 - Group - Mesh Explode - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - da78eacf-fcd8-4022-ba36-b83551843cb6 - 1 - 610b0d7a-8f6b-4a69-89c6-e0d74ef0a8a9 - Group - Scale - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c9d7ab64-12d9-47a6-9f5a-b7d486582e06 - 1 - 7c67b4e7-810b-4224-9c80-53b1e65ef005 - Group - Volume - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 66de31f8-b1d8-4a6f-8c9b-a2139fbc21e9 - 1 - dabe7253-ddb8-41db-8a40-50bd88e68f04 - Group - DFBuildAssembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - a316d259-c3e1-4fb7-94ae-cb24613e9a58 - 1 - b61b0507-e7cc-449a-9325-76be626b6bef - Group - DFDeconstructAssembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 730c9210-22f6-4396-bb0b-e27023203431 - 1 - 8d2733b7-3dc9-4f53-bae0-d315fe5fa692 - Group - DFDeconstructBeam - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3273c958-8c93-4345-9b81-771f1b939383 - 1 - 6b887680-516c-4c05-ae85-ed6e49063b8a - Group - List Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 442be2ee-fd8f-4a94-be59-443a298ba661 - 1 - 25ef8658-f98c-4c08-9db4-885c4d88d2a6 - Group - Tree Branch - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b514bf02-a866-4a27-8c58-3af0715d74de - 1 - 90294e44-7e04-4901-8260-0c8f918bd70d - Group - Tree Statistics - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 949b2992-3b96-4c70-8949-3a89d92aa2ed - 1 - 443c91e5-e35f-4032-bae0-e046db20d2e5 - Group - List Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - bcea2679-1e9a-45da-b082-ade26d0c62fd - 1 - 8d227547-db80-43ac-b1ed-f852782199bd - Group - Tree Branch - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - e7d25370-cf19-4ee1-873f-5a10c08533b6 - 1 - d6ef995d-2ce0-4c18-8fc9-e832fe0c10e0 - Group - Populate Geometry - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 29d2cdde-c97e-4392-a520-0658e9dbbecc - 1 - 5e775ff3-65b5-4ce6-93b4-b5ada5e390c7 - Group - Point Cloud Attributes - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 2c7a2245-0c43-4541-a1d7-e3f47599bcdb - 1 - a26f4de5-aac4-41f7-a279-83a35c6ab4da - Group - Move - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - a09bd204-bd3e-434c-9ec0-c8efb4fb91b7 - 1 - 436fc1cc-7f35-4be4-a8f2-3a0f521982fe - Group - Unit Z - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 47b571b1-4ac9-444c-8779-44feeaf704cb - 1 - 3ef2dd0c-dce9-4a7a-a7ef-9561b3046831 - Group - Data - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - f5533176-d75c-4cda-9dde-8efdb0792c3f - 1 - 621ff3f0-19f3-4246-9140-ea448d3c6f72 - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b13290f8-66b4-4d01-9d70-c7a1cd96f5ea - 1 - eeaaa182-e69e-41fd-a848-99e4635e0c94 - Group - Brep - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c0af2351-9508-4534-88db-29ace702bda3 - 1 - fd2c1c29-be19-4f1f-8116-f619ca3d9d41 - Group - Value List - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 35fd08f3-5744-4c6e-be3a-cd2024d08772 - 1 - 358fdd29-ebae-48b0-bcc8-77509b01cacd - Group - Value List - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 81d6e8e8-60cc-4c9b-93a2-47101f4f74d7 - 1 - 2f83afaf-50e7-4d20-877c-ae115fde697d - Group - Colour Swatch - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ac524d1d-6f48-40c1-8c22-aca7bc835f1f - 1 - 47dac4f1-195a-44cc-a5b8-0e20695b92b2 - Group - Trim Tree - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - f946b491-6acd-4766-a589-125fa9d33774 - 1 - 9be4a434-de71-4528-ab76-516842fc6bcc - Group - Flatten Tree - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - f99751e9-0acc-4562-9185-654605fa1a95 - 1 - 8489633e-c456-4d0c-9906-1803e62d7f7b - Group - Move - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ae13e058-b13e-46a6-80d4-ff6430a32f0c - 1 - c0bb8d78-9611-4b9b-a755-253f4f961fbe - Group - File Path - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3f4d16ca-8a25-4595-b910-1f0e202dbdfb - 1 - d1e716e2-2591-4be8-a6fd-4e090015577e - Group - XY Plane - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - ec3bfd0d-64f8-4695-88b9-3eabf2c03135 - 1 - 7409f7ca-c13d-4be1-b0ba-776fb30b872f - Group - Move - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - a08997f7-053c-4e48-ad6a-060f45d3cc09 - 1 - 703d7429-c149-4d9c-a17d-af9c92323291 - Group - DFCloudCloudDistance - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 08f28c8c-a727-441e-bf07-cceb26aa07bf - 1 - 97e38db0-6c41-4e77-b003-fae8ddcc06f3 - Group - DFCsvExporter - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9154f212-0f3f-4ed3-80e1-cccccf299e5a - 1 - 0742c283-ae6e-44eb-b274-d6454b7b17a7 - Group - DFVisualizationSettings - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 0e1b5c63-e19e-451e-a20f-7762738538e8 - 1 - c614e717-c6a4-407b-b9d8-820fc19cfca0 - Group - DFCloudMeshDistance - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - da42aa4e-43bc-4791-b3d5-30a07cc46e10 - 1 - 2cd2677c-d9db-4170-8e82-c89ba6d373a3 - Group - DFVisualization - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - aca0490a-1d6a-418e-b4c6-6a7918463ba8 - 1 - 6ef24431-d713-4984-b64f-b94556a466f5 - Group - DFVisualization - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 36efdae2-fb1a-4047-95eb-0fe828971660 - 1 - 68422038-39cc-4df6-ad1c-84751c0960f0 - Group - Point - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b9a4cae4-cd97-44b7-8302-787e63c13bc8 - 1 - 53aa50ae-053a-40ad-ad05-3fe8c82044ab - Group - DFVisualizationSettings - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - cef38921-a53b-4ccd-8afb-cd880c5f1394 - 1 - 377306b3-7222-464f-985e-2bbe77fa18ad - Group - DFCloudMeshDistance - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 4306eb1b-febd-41e7-956e-9cc0b199f792 - 1 - 9a8787b5-8f5b-43b0-a6e0-630a518ff965 - Group - DFBuildAssembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c440cf9b-2922-46ab-b35b-5ceaeb14561a - 1 - 68f0e439-22fb-46cc-b9b6-91fe1f2ce2d2 - Group - DFJointSegmentator - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - f13c2cac-465d-49e9-92b5-d2876cc206bd - 1 - fd459b47-c1ba-4b99-8c62-46d112fc011d - Group - DFDeconstructBeam - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFNormalSegmentator - - - - - - true - true - 2 - - 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 - - 2991b69e-8ca3-4561-bcb2-af74134881ab - true - false - true - DFNormalSegmentator - DFNormalSegmentator - 3 - - false - false - false - false - - - - - - 1326 - 1094 - 232 - 124 - - - 1483 - 1156 - - - - - - 6 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The point cloud to reduce the size. - d60f7e90-004b-4ef2-ae7d-2968257713ff - i_cloud - i_cloud - true - 0 - 2 - true - 8cd6a5e5-a5f3-4ab9-8a76-ee155fc5d53a - 1 - The point cloud to reduce the size. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 1328 - 1096 - 140 - 20 - - - 1399.5 - 1106 - - - - - - RhinoCommon - Rhino.Geometry.PointCloud - - - - - - - true - The normal threshold in degrees (under that it consider to the same cluster). - 7d5e205e-1757-4743-ba32-071c8cfc10c2 - i_normal_threshold_degree - i_normal_threshold_degree - true - 0 - 2 - true - 0 - The normal threshold in degrees (under that it consider to the same cluster). - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1328 - 1116 - 140 - 20 - - - 1399.5 - 1126 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - The smallest cluster allowed. - ac27c977-cd50-4e32-ba70-995eef6edea2 - i_min_cluster_size - i_min_cluster_size - true - 0 - 2 - true - 0 - The smallest cluster allowed. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 1328 - 1136 - 140 - 20 - - - 1399.5 - 1146 - - - - - - System.Private.CoreLib - System.Int32 - - - - - - - true - If true use knn, otherwise radius search. - bbab4860-107f-49f8-9287-8ebc595a93b5 - i_use_knn_neighborhood - i_use_knn_neighborhood - true - 0 - 2 - true - 0 - If true use knn, otherwise radius search. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1328 - 1156 - 140 - 20 - - - 1399.5 - 1166 - - - - - - System.Private.CoreLib - System.Boolean - - - - - - - true - The knn size. - e89c5656-a232-4e28-b0e8-833f3c0dadde - i_knn_neighborhood_size - i_knn_neighborhood_size - true - 0 - 2 - true - 0 - The knn size. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 1328 - 1176 - 140 - 20 - - - 1399.5 - 1186 - - - - - - System.Private.CoreLib - System.Int32 - - - - - - - true - The size of the radius. - 3ae6e332-2376-42f2-92c7-4db93c00c1e7 - i_radius_neighborhood_size - i_radius_neighborhood_size - true - 0 - 2 - true - 0 - The size of the radius. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1328 - 1196 - 140 - 20 - - - 1399.5 - 1206 - - - - - - System.Private.CoreLib - System.Double - - - - - - - false - The segmented clouds. - 43c78988-87e9-425a-aafd-fc72c9f86e95 - o_clusters - o_clusters - false - 0 - 2 - true - 0 - The segmented clouds. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1498 - 1096 - 58 - 120 - - - 1527 - 1156 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFNormalSegmentator - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 2991b69e-8ca3-4561-bcb2-af74134881ab - 1 - 8f06700a-6b5f-4511-aa26-36a3aa811b13 - Group - DFNormalSegmentator - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 66648e9f-13f7-4336-b7fa-e2317f067f49 - 1 - 706ecf07-2fb9-4cbe-aae9-e2e03d75e489 - Group - Tree Branch - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 6e0fea94-b492-413d-bbe4-4f65ee62f59a - 1 - 3842419f-3bb3-4c12-af93-5d6da7725d44 - Group - List Item - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - true - 1 - 8009ad61-8863-47fb-ab51-0fa1486f9562 - 1 - Point Cloud - beams_pcd - false - c08768c2-f016-472b-b915-844ed9e9efe8 - 1 - - - - - - 2043 - 1005 - 87 - 20 - - - 2096.5942 - 1015.9232 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 8009ad61-8863-47fb-ab51-0fa1486f9562 - 1 - 0f96e9af-c276-43dd-8472-4cc88615fab9 - Group - Point Cloud - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - aa77bacc-6124-4564-899c-30fb51ec9928 - 1 - c996cdbb-904d-448f-9f94-aae573e4d8eb - Group - Point Cloud - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 285ce2fb-c31e-462b-a935-cd25e5e4fbad - Number Slider - Number Slider - false - 0 - - - - - - 1318 - 1397 - 203 - 20 - - - 1318.262 - 1397.8584 - - - - - - 1 - 1 - 0 - 1 - 0 - 0 - 1 - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 2be5d400-d52d-4145-b087-81b1738e6dc4 - 1 - 8ea0ceb4-dc6f-4518-9833-528c2a75ebc5 - Group - Point Cloud - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - true - e21ece53-e766-45c4-8b43-da00bb9e9f39 - Move - Move - - - - - - 1996 - 1463 - 164 - 44 - - - 2084 - 1485 - - - - - - Base geometry - c3eb5e80-574d-4d4d-b4ee-aeecbc34c540 - 1 - Geometry - Geometry - true - 1ec878d1-39e9-4ee2-842d-b7156484b924 - 1 - - - - - - 1998 - 1465 - 71 - 20 - - - 2043 - 1475 - - - - - - - - Translation vector - 6377e67f-1272-46ae-8366-4102f6da13e6 - Motion - Motion - false - a21f0834-9a15-4e91-bde3-5c0cb6417dcc - 1 - - - - - - 1998 - 1485 - 71 - 20 - - - 2043 - 1495 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - a1075805-c9cc-44a4-9fd8-8765331caf50 - Geometry - Geometry - false - 0 - - - - - - 2099 - 1465 - 59 - 20 - - - 2128.5 - 1475 - - - - - - - - Transformation data - d9d3a9c7-a42e-47b2-a706-67bd5e546d9b - Transform - Transform - false - 0 - - - - - - 2099 - 1485 - 59 - 20 - - - 2128.5 - 1495 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - e21ece53-e766-45c4-8b43-da00bb9e9f39 - 1 - 6ae5d06e-3b60-4323-bda8-01078e617f90 - Group - Move - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - 1 - fbece338-5574-4f2b-ae6a-1b317628200f - 1 - Point Cloud - joints_pcd - false - a1075805-c9cc-44a4-9fd8-8765331caf50 - 1 - - - - - - 2068 - 1373 - 81 - 20 - - - 2118.2139 - 1383.5194 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - fbece338-5574-4f2b-ae6a-1b317628200f - 1 - 9ab28843-e87e-491a-be60-f9518d3e9cad - Group - Point Cloud - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b61d9b8d-6cf1-4198-be59-65470ad65fd1 - 1 - 11aac75b-fbe1-49dc-89b7-f69a730e6c99 - Group - script-sync cpython - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - b75ab13d-8f7a-4ff7-bdf7-7fd75afb8a81 - 1 - fa91fb30-56af-4a57-8aa2-8f0536ed87fc - Group - DFDeconstructAssembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - cd9441e5-6928-4c06-a004-5ca568a7f54d - 1 - 34319435-e10f-4556-a046-434b90b5c0db - Group - DFBuildAssembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 7b717b7b-efff-4e9c-8dc7-197ebd8c994a - 1 - b0f483d1-ee80-4eca-868e-2303ce031361 - Group - DFVisualization - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 89a3209c-2aa5-414b-ac24-f04d34728004 - 1 - a98d890d-b405-45e8-b9ed-3383711dc143 - Group - DFCloudMeshDistance - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 01cb1495-e787-4767-8ccc-f77b0097d3f2 - 1 - d633786b-a9ee-45c5-83b1-bd932c3daea7 - Group - DFBuildAssembly - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 3ae51f8e-4e01-46ba-8b30-b2ddb1393051 - 1 - 21211f59-32d5-44d5-ad3c-696b37975438 - Group - DFCloudMeshDistance - - - - - - - - - - 59daf374-bc21-4a5e-8282-5504fb7ae9ae - List Item - - - - - 0 - Retrieve a specific item from a list. - true - dea95746-6abc-4f37-9138-57225a510bdd - List Item - List Item - - - - - - 150 - 815 - 80 - 64 - - - 200 - 847 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2e3ab970-8545-46bb-836c-1c11e5610bce - cb95db89-6165-43b6-9c41-5702bc5bf137 - 1 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - Base list - c6c8282e-7d07-468e-ba23-43179e0f046d - List - List - false - b13290f8-66b4-4d01-9d70-c7a1cd96f5ea - 1 - - - - - - 152 - 817 - 33 - 20 - - - 170 - 827 - - - - - - - - Item index - a1f4a85d-2372-48be-9982-83f1bcbefe93 - Index - Index - false - 17bc173a-bf43-4999-a522-c86bdfa54094 - 1 - - - - - - 152 - 837 - 33 - 20 - - - 170 - 847 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Wrap index to list bounds - e38d144b-1f11-42a3-a85c-06f94a769ef2 - Wrap - Wrap - false - 0 - - - - - - 152 - 857 - 33 - 20 - - - 170 - 867 - - - - - - 1 - - - - - 1 - {0} - - - - - true - - - - - - - - - - - Item at {i'} - e53bec7d-0af2-44af-9391-3baa826f22bb - false - Item - i - false - 0 - - - - - - 215 - 817 - 13 - 60 - - - 221.5 - 847 - - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 17bc173a-bf43-4999-a522-c86bdfa54094 - Panel - - false - 0 - 0 - 0 -1 - - - - - - 81 - 834 - 50 - 88 - - 0 - 0 - 0 - - 81.418945 - 834.73535 - - - - - - - 255;255;250;90 - - true - true - false - false - false - true - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - dea95746-6abc-4f37-9138-57225a510bdd - 1 - 8f948b39-a3c3-49b6-89b6-a43788fec22a - Group - List Item - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 9b9d49e0-eff5-45f8-aa59-8fe0102d97b6 - 1 - 9bae2638-c3b2-430b-a5f7-b7365e19e813 - Group - Trim Tree - - - - - - - - - - 1177d6ee-3993-4226-9558-52b7fd63e1e3 - Trim Tree - - - - - Reduce the complexity of a tree by merging the outermost branches. - true - 684033cb-0f8b-4d62-ba82-d1c1c6fe1351 - Trim Tree - Trim Tree - - - - - - 1209 - 872 - 102 - 44 - - - 1263 - 894 - - - - - - 2 - Data tree to flatten - 45245c88-cf66-47ce-b4aa-8d570a14e7e4 - Tree - Tree - false - 34c384bb-ad96-41aa-aa40-c0fc02e53c47 - 1 - - - - - - 1211 - 874 - 37 - 20 - - - 1231 - 884 - - - - - - - - Number of outermost branches to merge - fc3003c3-070c-4f46-9604-6fb67c5de227 - Depth - Depth - false - 0 - - - - - - 1211 - 894 - 37 - 20 - - - 1231 - 904 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 2 - Trimmed data tree - d7df5230-65ba-4f5c-9433-3d776e4e6caf - Tree - Tree - false - 0 - - - - - - 1278 - 874 - 31 - 40 - - - 1293.5 - 894 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 684033cb-0f8b-4d62-ba82-d1c1c6fe1351 - 1 - 0a17343c-c75c-4cd1-81b9-1fee6a7cecd9 - Group - Trim Tree - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - a44e482d-4325-417f-863e-4562653a9ae9 - 1 - 99a7ca9a-9099-45ab-ba87-26ad7f89720b - Group - Split List - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFBuildAssembly - - - - - - true - 2 - - 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 - - 45da631c-2ac2-4c3e-975b-8733283a963c - true - false - true - DFBuildAssembly - DFBuildAssembly - 3 - - false - false - false - false - - - - - - 268 - 761 - 190 - 44 - - - 375 - 783 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The name of the assembly to export. - 72cce072-ea6d-45d6-bd6f-3c4695447f2b - i_assembly_name - i_assembly_name - true - 0 - 2 - true - 0d554d4e-86ab-4542-ad80-f31d46d1390c - 1 - The name of the assembly to export. - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 270 - 763 - 90 - 20 - - - 316.5 - 773 - - - - - - System.Private.CoreLib - System.String - - - - - - - 1 - true - The breps of the structure. - 4515279c-c551-4ab1-9ace-94e79292dbaf - i_breps - i_breps - true - 1 - 2 - true - e53bec7d-0af2-44af-9391-3baa826f22bb - 1 - The breps of the structure. - 2ceb0405-fdfe-403d-a4d6-8786da45fb9d - - - - - - 270 - 783 - 90 - 20 - - - 316.5 - 793 - - - - - - RhinoCommon - Rhino.Geometry.Brep - - - - - - - false - The create DFAssembly object representing the timber elements. - 2241d514-32c2-414d-87ed-234bc200e4a4 - o_assembly - o_assembly - false - 0 - 2 - true - 0 - The create DFAssembly object representing the timber elements. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 390 - 763 - 66 - 40 - - - 423 - 783 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFBuildAssembly - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 45da631c-2ac2-4c3e-975b-8733283a963c - 1 - 97bb2c98-3d3c-4cba-b5db-8e216678aeb0 - Group - DFBuildAssembly - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFCloudMeshDistance - - - - - - true - 2 - - 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 - - 50ad4b36-c5a0-42e4-9d89-21fb9f7240fb - true - false - true - DFCloudMeshDistance - DFCloudMeshDistance - 3 - - false - false - false - false - - - - - - 2312 - 1115 - 229 - 124 - - - 2434 - 1177 - - - - - - 5 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 6 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - 2 - true - The source point cloud. - 7ecd68b5-3a85-469d-a824-2197520af260 - i_cloud_source - i_cloud_source - true - 2 - 2 - true - f70911b2-b517-4e66-9ca4-6c795a598bd6 - 1 - The source point cloud. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 2314 - 1117 - 105 - 24 - - - 2368 - 1129 - - - - - - RhinoCommon - Rhino.Geometry.PointCloud - - - - - - - true - The target DFAssembly - 961ee13e-8c1d-40ea-89e9-607baeddaf85 - i_assembly - i_assembly - true - 0 - 2 - true - 2241d514-32c2-414d-87ed-234bc200e4a4 - 1 - The target DFAssembly - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2314 - 1141 - 105 - 24 - - - 2368 - 1153 - - - - - - System.Private.CoreLib - System.Object - - - - - - - true - whether to consider the sign of the distances - b17c5e7b-d829-46d7-b5d6-12ff0803c7e6 - i_signed_flag - i_signed_flag - true - 0 - 2 - true - 5e0446ab-59a0-47cc-9d2f-07b0399d2335 - 1 - whether to consider the sign of the distances - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 2314 - 1165 - 105 - 24 - - - 2368 - 1177 - - - - - - System.Private.CoreLib - System.Boolean - - - - - - - true - whether to swap source and target - af6eee93-7f2a-4309-bdd4-44c42e5ea0f7 - i_swap - i_swap - true - 0 - 2 - true - 783031c1-9e6e-41ff-ba7b-5ceb53b39680 - 1 - whether to swap source and target - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 2314 - 1189 - 105 - 24 - - - 2368 - 1201 - - - - - - System.Private.CoreLib - System.Boolean - - - - - - - true - the maximum edge length of the mesh that is used for the distance calculation - 0ad77bf8-1e71-4c85-82b8-cf4d42a5ed54 - i_analysis_resolution - i_analysis_resolution - true - 0 - 2 - true - 0 - the maximum edge length of the mesh that is used for the distance calculation - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2314 - 1213 - 105 - 24 - - - 2368 - 1225 - - - - - - System.Private.CoreLib - System.Double - - - - - - - false - list of calculated distances for each point of the source. - bf2e76b8-2839-4efe-9791-064d61a73c11 - o_distances - o_distances - false - 0 - 2 - true - 0 - list of calculated distances for each point of the source. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2449 - 1117 - 90 - 20 - - - 2494 - 1127 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - average squared difference between source and target. - 5714084d-9baf-4948-9a9d-123a4cc12151 - o_rmse - o_rmse - false - 0 - 2 - true - 0 - average squared difference between source and target. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2449 - 1137 - 90 - 20 - - - 2494 - 1147 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - max deviation between source and target - ef24e66a-6428-42d1-b1eb-4d19fbb97000 - o_max_deviation - o_max_deviation - false - 0 - 2 - true - 0 - max deviation between source and target - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2449 - 1157 - 90 - 20 - - - 2494 - 1167 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - min deviation between source and target - 0ef81cf0-a87c-482f-aeeb-4600af9b3b6d - o_min_deviation - o_min_deviation - false - 0 - 2 - true - 0 - min deviation between source and target - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2449 - 1177 - 90 - 20 - - - 2494 - 1187 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - standard deviation between source and target. - 97b5b58c-a7cf-40eb-84c6-6dd9714d2f93 - o_std_deviation - o_std_deviation - false - 0 - 2 - true - 0 - standard deviation between source and target. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2449 - 1197 - 90 - 20 - - - 2494 - 1207 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The result of the distance calculation. - 6d78a51e-f8aa-4f34-a818-52f6ec15308b - o_result - o_result - false - 0 - 2 - true - 0 - The result of the distance calculation. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2449 - 1217 - 90 - 20 - - - 2494 - 1227 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFCloudMeshDistance - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 50ad4b36-c5a0-42e4-9d89-21fb9f7240fb - 1 - ccd0f19f-46bf-42dd-8a60-6f532007f19f - Group - DFCloudMeshDistance - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFVisualization - - - - - - true - 2 - - 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 - - 977f5476-154a-4835-a5fc-f366fc0c7d8c - true - false - true - DFVisualization - DFVisualization - 3 - - false - false - false - false - - - - - - 2685 - 1218 - 185 - 64 - - - 2772 - 1250 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The result of the distance calculation - b1f877c6-5d17-497c-8cd5-74e7476dcd01 - i_result - i_result - true - 0 - 2 - true - 6d78a51e-f8aa-4f34-a818-52f6ec15308b - 1 - The result of the distance calculation - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2687 - 1220 - 70 - 30 - - - 2723.5 - 1235 - - - - - - System.Private.CoreLib - System.Object - - - - - - - true - The settings of the visualization - 16680cab-e0ec-48c4-af8c-1a7a5d58107d - i_viz_settings - i_viz_settings - true - 0 - 2 - true - d11fba1d-beb3-47ff-bf0f-077961fdceba - 1 - The settings of the visualization - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2687 - 1250 - 70 - 30 - - - 2723.5 - 1265 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The geometry colored according to the distance results. - 04574ed5-a237-46e7-a0a2-319f4bb2bd44 - o_colored_geo - o_colored_geo - false - 0 - 2 - true - 0 - The geometry colored according to the distance results. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2787 - 1220 - 81 - 20 - - - 2827.5 - 1230 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The legend of the visualization - 103f3f57-8442-44fe-bff8-ce934ce7ebda - o_legend - o_legend - false - 0 - 2 - true - 0 - The legend of the visualization - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2787 - 1240 - 81 - 20 - - - 2827.5 - 1250 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - Histogram that shows the frequency of the values - 70a9b9e8-acd8-4cb1-aaf7-a15c370c3b07 - o_histogram - o_histogram - false - 0 - 2 - true - 0 - Histogram that shows the frequency of the values - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2787 - 1260 - 81 - 20 - - - 2827.5 - 1270 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFVisualization - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 977f5476-154a-4835-a5fc-f366fc0c7d8c - 1 - 80022fe4-9fec-4326-9190-4aa35c456fe1 - Group - DFVisualization - - - - - - - - - - 3cadddef-1e2b-4c09-9390-0e8f78f7609f - Merge - - - - - Merge a bunch of data streams - true - 71a4694d-2376-4414-9631-2a22ec6eda1c - Merge - Merge - - - - - - 917 - 930 - 95 - 64 - - - 955 - 962 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 1 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 2 - Data stream 1 - 315a15c2-59de-4958-9101-88c1a8f91aae - false - Data 1 - D1 - true - 99f095ea-5887-4313-a1f8-00a7c39204fa - 1 - - - - - - 919 - 932 - 21 - 20 - - - 931 - 942 - - - - - - - - 2 - Data stream 2 - 18bbd40e-062f-4644-abc6-19dc148667ed - false - Data 2 - D2 - true - 294a08f6-9cd9-42de-82d2-7cf94bf586cd - 1 - - - - - - 919 - 952 - 21 - 20 - - - 931 - 962 - - - - - - - - 2 - Data stream 3 - c320140a-f4e3-4658-b1be-34c0dc83b67b - false - Data 3 - D3 - true - 0 - - - - - - 919 - 972 - 21 - 20 - - - 931 - 982 - - - - - - - - 2 - Result of merge - 48b29f80-b320-4fe8-b3e5-35e426deedd2 - Result - Result - false - 0 - - - - - - 970 - 932 - 40 - 60 - - - 990 - 962 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 71a4694d-2376-4414-9631-2a22ec6eda1c - 1 - c3d9c5d7-94e3-4876-b40d-d46d35450d34 - Group - Merge - - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - 5e0446ab-59a0-47cc-9d2f-07b0399d2335 - Boolean Toggle - Boolean Toggle - false - 0 - true - - - - - - 2082 - 1166 - 146 - 22 - - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - 783031c1-9e6e-41ff-ba7b-5ceb53b39680 - Boolean Toggle - Boolean Toggle - false - 0 - false - - - - - - 2083 - 1198 - 146 - 22 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 97976219-a7cd-47fd-8101-96c2f666d6d3 - Panel - - false - 0 - 294a08f6-9cd9-42de-82d2-7cf94bf586cd - 1 - Double click to edit panel content… - - - - - - 305 - 1376 - 160 - 664 - - 0 - 0 - 0 - - 305.03357 - 1376.126 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c8cb6a5c-2ffd-4095-ba2a-5c35015e09e4 - Populate Geometry - - - - - Populate generic geometry with points - 871c3046-a3bf-4a34-a211-96935260f415 - Populate Geometry - Populate Geometry - - - - - - 612 - 1269 - 152 - 84 - - - 684 - 1311 - - - - - - Geometry to populate (curves, surfaces, breps and meshes only) - b99e9841-657b-40cb-89f9-30547e8f8cd3 - Geometry - Geometry - false - 294a08f6-9cd9-42de-82d2-7cf94bf586cd - 1 - - - - - - 614 - 1271 - 55 - 20 - - - 643 - 1281 - - - - - - - - Number of points to add - 9b3d3154-89a8-466d-a598-093287baa868 - Count - Count - false - 0 - - - - - - 614 - 1291 - 55 - 20 - - - 643 - 1301 - - - - - - 1 - - - - - 1 - {0} - - - - - 100 - - - - - - - - - - - Random seed for insertion - a53c9809-8788-4637-8911-62951cf9bcdc - Seed - Seed - false - 0 - - - - - - 614 - 1311 - 55 - 20 - - - 643 - 1321 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 1 - Optional pre-existing population - e91745fb-865f-4ad9-a87a-e2975dba2125 - Points - Points - true - 0 - - - - - - 614 - 1331 - 55 - 20 - - - 643 - 1341 - - - - - - - - 1 - Population of inserted points - d5ec9c64-8690-49d9-92f6-b9c975d9bece - Population - Population - false - 0 - - - - - - 699 - 1271 - 63 - 80 - - - 730.5 - 1311 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 871c3046-a3bf-4a34-a211-96935260f415 - 1 - 35cc7aa9-5f5b-46e5-bdb5-a56cc79bcb19 - Group - Populate Geometry - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - fad9a91f-d957-444c-8739-d43098138854 - Panel - - false - 0 - d5ec9c64-8690-49d9-92f6-b9c975d9bece - 1 - Double click to edit panel content… - - - - - - 474 - 1375 - 290 - 660 - - 0 - 0 - 0 - - 474.38965 - 1375.8927 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 2835454d-dc77-459d-a4d4-8f66078d88ca - Point Cloud Attributes - - - - - Point Cloud Attributes - a52c18f8-dbbc-4be1-9c63-ac326089adeb - Point Cloud Attributes - Point Cloud Attributes - IOComponents, Version=8.11.24254.15001 - - - - - - 830 - 1345 - 143 - 124 - - - 900 - 1407 - - - - - - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - 6 - 850b6368-ff26-48ce-9773-ac554ffbaeef - fbac3e32-f100-4292-8692-77240a42fd1a - 16ef3e75-e315-4899-b531-d3166b42dac9 - 203a91c3-287a-43b6-a9c5-ebb96240a650 - 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 - cb95db89-6165-43b6-9c41-5702bc5bf137 - - - - - Point Cloud - 88f60f76-615d-4d3c-9fd2-52b51c369ab0 - Cloud - Cloud - true - 0 - - - - - - 832 - 1347 - 53 - 20 - - - 860 - 1357 - - - - - - - - 1 - The locations of the points in the point cloud - 74d93787-5572-4c1c-aa8f-9a731ff92e70 - Locations - Locations - true - d5ec9c64-8690-49d9-92f6-b9c975d9bece - 1 - - - - - - 832 - 1367 - 53 - 20 - - - 860 - 1377 - - - - - - - - 1 - The normal vectors for the point cloud - ab66a940-b1e3-4edc-a170-aca5ce8d231c - Normals - Normals - true - 0 - - - - - - 832 - 1387 - 53 - 20 - - - 860 - 1397 - - - - - - - - 1 - The colours for the point cloud - b5ae0b5d-c494-4f3d-a2ce-05577cc47b65 - Colours - Colours - true - 0 - - - - - - 832 - 1407 - 53 - 20 - - - 860 - 1417 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 4c69ee1f-53d2-4d8e-ad8c-62dbcaa30adb - Extra - Extra - true - 0 - - - - - - 832 - 1427 - 53 - 20 - - - 860 - 1437 - - - - - - - - 1 - The visibility flags for the point cloud. - 00bdffe1-df82-4e1e-9ab7-2c079bef64a5 - Hidden - Hidden - true - 0 - - - - - - 832 - 1447 - 53 - 20 - - - 860 - 1457 - - - - - - - - Point Cloud - 2307cd70-9865-444f-b5eb-c2ec2580d948 - Cloud - Cloud - false - 0 - - - - - - 915 - 1347 - 56 - 20 - - - 943 - 1357 - - - - - - - - 1 - The locations of the points in the point cloud - true - 8dafc430-6b9f-4cf2-8126-51e4626f6e67 - Locations - Locations - false - 0 - - - - - - 915 - 1367 - 56 - 20 - - - 943 - 1377 - - - - - - - - 1 - The normal vectors for the point cloud - ce6ecb05-0bb0-49f1-8ac9-0a0742002e2d - Normals - Normals - false - 0 - - - - - - 915 - 1387 - 56 - 20 - - - 943 - 1397 - - - - - - - - 1 - The colours for the point cloud - 253b12d1-3c1a-463e-9096-40595d7f5929 - Colours - Colours - false - 0 - - - - - - 915 - 1407 - 56 - 20 - - - 943 - 1417 - - - - - - - - 1 - The extra value can be used to store a user-defined numeric value, such as intensity, with each point in the point cloud - 66edd5e2-0069-4791-98d4-4bed4b636808 - Extra - Extra - false - 0 - - - - - - 915 - 1427 - 56 - 20 - - - 943 - 1437 - - - - - - - - 1 - The visibility flags for the point cloud. - 7c09a6dd-6d4e-47c0-be10-de68824c3b18 - Hidden - Hidden - false - 0 - - - - - - 915 - 1447 - 56 - 20 - - - 943 - 1457 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - a52c18f8-dbbc-4be1-9c63-ac326089adeb - 1 - 75ece283-2918-4324-b6c1-8a4e2df76308 - Group - Point Cloud Attributes - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 0bb50ecd-4d91-429c-b732-1c823afbcd27 - Panel - - false - 0 - 3e8f5a3f-f35f-4700-bd38-11b36cf56f2d - 1 - Double click to edit panel content… - - - - - - 1107 - 1973 - 160 - 295 - - 0 - 0 - 0 - - 1107.4498 - 1973.9542 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 1177d6ee-3993-4226-9558-52b7fd63e1e3 - Trim Tree - - - - - Reduce the complexity of a tree by merging the outermost branches. - abd2e290-7196-4ce7-ab3c-7a795c29143a - Trim Tree - Trim Tree - - - - - - 909 - 1619 - 102 - 44 - - - 963 - 1641 - - - - - - 2 - Data tree to flatten - 937c4b65-e19f-4ea9-ba03-8d2c47285be9 - Tree - Tree - false - 2307cd70-9865-444f-b5eb-c2ec2580d948 - 1 - - - - - - 911 - 1621 - 37 - 20 - - - 931 - 1631 - - - - - - - - Number of outermost branches to merge - 1425ce48-9a6f-4c00-9aa3-2c46c009495b - Depth - Depth - false - 0 - - - - - - 911 - 1641 - 37 - 20 - - - 931 - 1651 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - 2 - Trimmed data tree - 4581e871-1b2c-456e-aa73-0e66e63c51a9 - Tree - Tree - false - 0 - - - - - - 978 - 1621 - 31 - 40 - - - 993.5 - 1641 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - abd2e290-7196-4ce7-ab3c-7a795c29143a - 1 - 714eee68-76e4-45e5-88bd-c378cee4744d - Group - Trim Tree - - - - - - - - - - 59daf374-bc21-4a5e-8282-5504fb7ae9ae - List Item - - - - - 0 - Retrieve a specific item from a list. - dec76c40-f7b0-4868-8b16-0c2d46ea91b8 - List Item - List Item - - - - - - 929 - 1716 - 96 - 64 - - - 995 - 1748 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2e3ab970-8545-46bb-836c-1c11e5610bce - cb95db89-6165-43b6-9c41-5702bc5bf137 - 1 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - Base list - 327bc681-3037-428d-8cc5-e7ca5fa2ace1 - 1 - List - List - false - 4581e871-1b2c-456e-aa73-0e66e63c51a9 - 1 - - - - - - 931 - 1718 - 49 - 20 - - - 965 - 1728 - - - - - - - - Item index - 1ab11988-0005-4418-87e0-49b0f8164d70 - Index - Index - false - abd16e1f-cbd8-4182-a598-034fac5952dc - 1 - - - - - - 931 - 1738 - 49 - 20 - - - 965 - 1748 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Wrap index to list bounds - c0e59ff1-c5f5-4ddd-bd7d-8c4ba3f2afe2 - Wrap - Wrap - false - 0 - - - - - - 931 - 1758 - 49 - 20 - - - 965 - 1768 - - - - - - 1 - - - - - 1 - {0} - - - - - true - - - - - - - - - - - Item at {i'} - 3e8f5a3f-f35f-4700-bd38-11b36cf56f2d - false - Item - i - false - 0 - - - - - - 1010 - 1718 - 13 - 60 - - - 1016.5 - 1748 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - dec76c40-f7b0-4868-8b16-0c2d46ea91b8 - 1 - 073b3833-6485-4825-90d5-a1801058742b - Group - List Item - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - abd16e1f-cbd8-4182-a598-034fac5952dc - Number Slider - Number Slider - false - 0 - - - - - - 701 - 1738 - 203 - 20 - - - 701.5 - 1738 - - - - - - 3 - 1 - 1 - 10 - 0 - 0 - 2 - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - 1 - d4db6cbd-3bac-4490-9d2d-701064a837de - 1 - Point Cloud - pcd_faces - false - 0 - - - - - - 1888 - 1018 - 79 - 20 - - - 1937.6293 - 1028.113 - - - - - - 2 - - - - - 8 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 7FZnVFRJFi6CREWCojigrIKMDiAZZga4DxFRxKyoKDgorcRuQeKIYRQUZEYUTAQJJhQjggHQKQVUcGAQEZVoAATJ3a+b0P1ev33sjmfP2T27//Yf34+qeq/uuXXrhu8WkkEIMSzG5jFMlGWHDWv8/Lk8Z15wMI9rrO/BCd3tz+M62Jmam5taWFlYW5maW5uZmRvrO4cHhYWHchy4nPCwUJ8gY/1V4duC/Lcv40Sv4wVyuA7W1hYWduac722321pbW1uaTRg7Recfyk1dObxgTlhotOkqnj83zDmIF+4rz+4qRvzzNBWf0O1+/hEcS99gZd4uDpcbHrptt7yvT5jPmJCSkpLsmKHqRghZsPPJWPWJynLsYvLYEKyCkKx4vyzyYRdjkDCyaMpfF3Ql4w3EI3UauBepH5KZPajFc42i2P15f8lq+rLD9Ur+5X33JHjCkQeWy5cgIvGdbpGnuQD2yfs7f2tI49GsltIiIwZ2wWvpgOcQWHnor9RIZLB2kJqfuh4iXj+xm3WukQQ3m4yY6uk0rivrEPQXICLJX2ndqMEgvDsWWWs/IsYnpRNjt9xiYMdLmbzt0UJYM/FaSqu/FJ+dqqvAcBAR9GLBIomGAFSq6boXR2ncfC3dv2oCImxl4jyTR0nAGwx2uupKsfHZWs3Y8wxQkRqp82xF4JyvE/P9ZgrHfFxv0ZjCgPqr9v4CZRFUJFQfyVGh8BV57zw1eUREl+jjE0UkjOa4xEnm0TguLNd+dhQiCl+bDdmF8MGlZssOegqFtaNISVk0IibA0lYbSz7sOWvYxfOkseahnJaDPyKid+06l2UVApB5oXFjYx17LxvU5quEiNPCn1Zc5JBwsMUxbESDwcHdh6PLCUQcdnyY0y0VwOVXGy9viZNilz4DDJqI+CXvQc3FdhLWBNwaFh+R4CPL2oaMohjoyCHIMBMRnF7j11eyicK763JLPrkzUOc+I3RptQhC1EQ99xfReNkpYvKiIgZ6ErXvOtQIoSCHP8yU0rglY2v2ipOIEF99I9hCDsJRD9j3NkOCu94q9Z3QR0Rk5GmHpYok6N8NjbiUQOFS/7olRjaIsGtem9DySADNm1fMtbouxjkhHch6HiL2PMbpTlcF0LMjoWRGGo3f5WnU0N6IeGE21UCBjZfCS7RFdaIYr/whqyibYeB89qKutVwSzEflFtrcovDv2mftTD4ysDA6W+bIIiF8NEtRrDSR4mPpRdl3PzPgl38/0mufEEIbmmQ750qxX3Naw3lzRARkWtZfNyThzZKEP0/tp3HwmUNGTtsY4E1+vzL7hQi67r2e5dpI4aHjUvOFrN8Mf77Zbc8VwRyXuN3Vlykc1X4h2pr1w1Xtrel5jwahdMChV/SCwlWJMqVZmxCxL0TmvJyiAOTwkd8N5Gn84X3HJqyDiJszs641hZDwNNNx3r3XEiyv4mI76xUDl0LW5k5m7SdqjtzQnsTg3gJvToQiImKSfov8+L0QggrT7yUJaJxmnyTiuiFi9bKiqdNTBDDSX9MjpyDBe5/8GF/bxvrnwG/bOT0kyD4SRiQO0zjjpb2mYgQiVBbrJEgv8CEztQXbKTC4Pdn1lNtMRFjINPELikmIieV5VLL5+bj7VVfcVkTknrIsPlfGB8Nnsss0p0iwX+LGvr0uiHApn6MV/zcBbAtLpiz4Uhwxp/+pjQ8iMgqz6sQuAlj3KqJ1VSaFdW4d6DyjgghmQd7c9nwS+np7o9d/YTA3V9XV0RoRFbV+Tn/bSULx+91XF16W4h9/dnt4o4qBjF/bNKa2CMHN8ZuKMmUKrzH448F9Vt6qXvxtUa4AFo+m+DFfJNgZ5fh4b2KAb9dnsPaUCOxMkqvr0xhs8jQv5/YiRChK8o6ayZHAvZP12e04hSerdSs8CEFE6O2KyDmRfMi3snR3CpZgz3J1zRILRKhqtudPThOAX5v7A1ljCtdnnT5dxfJP8NSRhGkWJLgmH1Z5eFGKHflP7puyPObXrrxh8xMBTJd7Y5j9A42fV29u9T2HiCk14be25Q7Cr92qUfdP0rhwQYeh93EGdL2CD/usFIFu49ZzYvZcXdKOzFRg45IeqbP4NxLybfdUrXam8NVVZY0SNr7elXtULzoIwPK5+fRPVhSOLL8s9nvIgGdeRWFIshBMtTiCJg8xlsoWPm3URgSfk6XaSAsg1NomzJe1c4d7kocHW1+dDu84CwNJaJE43Bg4KMH7ngbO2cDWV3xVmKX2TT5wPU8bHGyi8WLB3eHuUgZmdwfKB9QKweHuiWpVOSn++WM13cTym2feug83pwrhWcF1Xn+KGL9zz7xu+omBuRmZ2W8aSPC5Mv9QyEkJXjWU9Ggpy59RZhlDGSVsHPl/rBxg66XOOu2YnBYDZ46Fyw7sGYLNuLbXVI/Gk0xizjm1snrsXbmXfISgs+i7+M5iGn+pWaH82JDlZ0/KLmMNCXHX2hp+ek3hSmWFy6WrGTC2GFT1ecvysFbVnmIj1s/WFz+tZ+ulakC/cn4rCVptw9OFSTT26pl/WI3Vn08pP50dJYTa7Uedlz0RYzpCV454zsZF79qEj8ZCqPilse+WphSjoJ0j1/czcODz4P69bF75z14gXb6AwXw3xa6Z6xCRfSfxbkOqAGq6sYNUQuHPvhfshImI8Lkpf8ZbMggdW0a/mbGWwqkRuT+8HmAg9nzq21AVITR16i0IP0vjWC35AeeDiDCaoW6SsIIPDTk6D2dmSnGINtfRjGaAKJ/5uWS9EGJ6LZNy8ihsEj9JJY6t05o7xVYBi0mIf758U70VjTvUNin5srytz89YeXtEBAmcZ/ZHdzE4ekDPkmeGCF5rf39tAAkvFRsfXNVg+13g55MZcgwsX925T1Q8BLVep5+t+YPGV1RfkMN2bB4u39hc3yMA1cIbqpc2SPGV7zw1l7D33Wt6T1ZrlwA+BMorL5/E8kDl9F8lM1h52w2krwoJt5n5Sp/0pfhofKlz9DREnD9arldSSELJDn8N6UcKEztdUqLTWT9wam3i1UTwu+u0Nmo3hbVSSsqv/YKIgx2p5X06fEjNnaS43oTGIcpwScTyp1dIzrnRaQL45kKNYZCYwk4Nql3Fzogo86wLuBYvAPPOiZYhbyl8V68+1zgQEYZpzbueX2Hren5Se4CXGOelT/nkMsQA2aHypf0MCSs2r/SSCaYxdfxxxW13RCy1jy2wChYAwbeZ9NMetr8bnbozxmMt/dezqWo+nHtJ65wYkODVM/fKCPYyMJ/hfhdqLoL3w6mBfgkSLFE6nF/QyUCFupf/RDEJgzWZ72KeS7C05U+TzUGImLvKfYo+lw8VfKntThUpNpqeW+fK6j+k7FRWrSOAJ38WlT1zpDAv4cOIbDADXdmBCkE8EaTNMl96tUeK7bLblb5l+9rse76vyvPZ/kX6OfYoSPHk8wPFybGI6K7m+jR78OGvt9h/weD/af9f/7/y+tf8+vou+9q3v77Xvubdv2syu6QfxuyXPfD1W/V/GzSOcYxjHOMYxzjGMY5xjOM/8XcAAAD//wMA - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - 6 - {1} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - d4db6cbd-3bac-4490-9d2d-701064a837de - 1 - f272e971-533c-4a3f-a58f-3183777d84c8 - Group - Point Cloud - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 5f297f45-2236-4882-8c09-67021e71e41c - Panel - - false - 0 - d4db6cbd-3bac-4490-9d2d-701064a837de - 1 - Double click to edit panel content… - - - - - - 1943 - 540 - 160 - 301 - - 0 - 0 - 0 - - 1943.7197 - 540.67645 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFVisualizationSettings - - - - - - true - 2 - - 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 - - c2c5f117-6acf-4a8c-903f-6d863fddf02d - true - false - true - DFVisualizationSettings - DFVisualizationSettings - 3 - - false - false - false - false - - - - - - 2419 - 795 - 243 - 184 - - - 2569 - 887 - - - - - - 9 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Which values to display. - 12cb6f03-6bee-4275-bb61-8f38d920ff5c - i_value_type - i_value_type - true - 0 - 2 - true - 1ac4885d-e77a-4fe6-b262-65e4a59b1940 - 1 - Which values to display. - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 2421 - 797 - 133 - 20 - - - 2489 - 807 - - - - - - System.Private.CoreLib - System.String - - - - - - - true - Select a color palette to map the values to - a6913229-05d8-476a-801b-0f8da4ad89ac - i_palette - i_palette - true - 0 - 2 - true - 50783eae-e987-43f0-a519-6ee4b38e7869 - 1 - Select a color palette to map the values to - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 2421 - 817 - 133 - 20 - - - 2489 - 827 - - - - - - System.Private.CoreLib - System.String - - - - - - - true - Thresholds the values with a maximum value - c5c577d9-2e32-4d4d-8a26-7b302d3028a7 - i_upper_threshold - i_upper_threshold - true - 0 - 2 - true - 0 - Thresholds the values with a maximum value - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2421 - 837 - 133 - 20 - - - 2489 - 847 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - Thresholds the values with a minimum value - c646fb8c-1481-4f21-b99a-1d2b3bcc3dd5 - i_lower_threshold - i_lower_threshold - true - 0 - 2 - true - 0 - Thresholds the values with a minimum value - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2421 - 857 - 133 - 20 - - - 2489 - 867 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - Set the total height of the legend - ca98efa3-73fb-4f8a-a236-b6058122a0e1 - i_legend_height - i_legend_height - true - 0 - 2 - true - 4f784333-603f-46c7-ba6a-793ccc589280 - 1 - Set the total height of the legend - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2421 - 877 - 133 - 20 - - - 2489 - 887 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - Set the total width of the legend - 95abb54b-57f8-4297-bafc-49c38b6946b8 - i_legend_width - i_legend_width - true - 0 - 2 - true - da3017c5-6d7f-4483-97cd-92639070a865 - 1 - Set the total width of the legend - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2421 - 897 - 133 - 20 - - - 2489 - 907 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - A construction plane for the legend - 303127c4-4daa-4a83-8d0b-6d0b79dc31ec - i_legend_plane - i_legend_plane - true - 0 - 2 - true - 4c3b1ede-9c37-4c56-a8ac-92a62b31c8d5 - 1 - A construction plane for the legend - 3897522d-58e9-4d60-b38c-978ddacfedd8 - - - - - - 2421 - 917 - 133 - 20 - - - 2489 - 927 - - - - - - RhinoCommon - Rhino.Geometry.Plane - - - - - - - true - Scales the height of the histogram with a factor - a037a2c9-d7d0-4286-98d5-ab6ae1e1b4f9 - i_histogram_scale_factor - i_histogram_scale_factor - true - 0 - 2 - true - 43705a1e-c219-4ac7-9800-58c3b285bb7b - 1 - Scales the height of the histogram with a factor - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2421 - 937 - 133 - 20 - - - 2489 - 947 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - make one curve per item - 432cc607-9fab-45cd-bea1-2419eba1a853 - i_one_histogram_per_item - i_one_histogram_per_item - true - 0 - 2 - true - 0 - make one curve per item - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2421 - 957 - 133 - 20 - - - 2489 - 967 - - - - - - System.Private.CoreLib - System.Double - - - - - - - false - Settings to be passed to the Visualization component - d11fba1d-beb3-47ff-bf0f-077961fdceba - o_viz_settings - o_viz_settings - false - 0 - 2 - true - 0 - Settings to be passed to the Visualization component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2584 - 797 - 76 - 180 - - - 2622 - 887 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - #! python3

import System
import typing
import Rhino
from ghpythonlib.componentbase import executingcomponent as component
import Grasshopper as gh
from Grasshopper import Instances
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML

from diffCheck import df_visualization


def add_str_valuelist(self,
    values_list: typing.List[str],
    nickname: str,
    indx: int,
    X_param_coord: float,
    Y_param_coord: float,
    X_offset: int=87
    ) -> None:
    """
        Adds a value list of string values to the component input

        :param values_list: a list of string values to add to the value list
        :param nickname: the nickname of the value list
        :param indx: the index of the input parameter
        :param X_param_coord: the x coordinate of the input parameter
        :param Y_param_coord: the y coordinate of the input parameter
        :param X_offset: the offset of the value list from the input parameter
    """
    param = ghenv.Component.Params.Input[indx]  # noqa: F821
    if param.SourceCount == 0:
        valuelist = gh.Kernel.Special.GH_ValueList()
        valuelist.NickName = nickname
        valuelist.Description = "Select the value to use with DFVizSettings"
        selected = valuelist.FirstSelectedItem
        valuelist.ListItems.Clear()
        for v in values_list:
            vli = gh.Kernel.Special.GH_ValueListItem(str(v),str('"' + v + '"'))
            valuelist.ListItems.Add(vli)
        if selected in values_list:
            valuelist.SelectItem(values_list.index(selected))
        valuelist.CreateAttributes()
        valuelist.Attributes.Pivot = System.Drawing.PointF(
            X_param_coord - (valuelist.Attributes.Bounds.Width) - X_offset,
            Y_param_coord - (valuelist.Attributes.Bounds.Height / 2 + 0.1)
            )
        valuelist.Attributes.ExpireLayout()
        gh.Instances.ActiveCanvas.Document.AddObject(valuelist, False)
        ghenv.Component.Params.Input[indx].AddSource(valuelist)  # noqa: F821

def add_slider(self,
    nickname: str,
    indx: int,
    lower_bound: float,
    upper_bound: float,
    default_value: float,
    X_param_coord: float,
    Y_param_coord: float,
    X_offset: int=100
    ) -> None:
    """
        Adds a slider to the component input

        :param nickname: the nickname of the slider
        :param indx: the index of the input parameter
        :param X_param_coord: the x coordinate of the input parameter
        :param Y_param_coord: the y coordinate of the input parameter
        :param X_offset: the offset of the slider from the input parameter
    """
    param = ghenv.Component.Params.Input[indx]  # noqa: F821
    if param.SourceCount == 0:
        slider = gh.Kernel.Special.GH_NumberSlider()
        slider.NickName = nickname
        slider.Description = "Set the value for the threshold"
        slider.Slider.Minimum = System.Decimal(lower_bound)
        slider.Slider.Maximum = System.Decimal(upper_bound)
        slider.Slider.DecimalPlaces = 3
        slider.Slider.SmallChange = System.Decimal(0.001)
        slider.Slider.LargeChange = System.Decimal(0.01)
        slider.Slider.Value = System.Decimal(default_value)
        slider.CreateAttributes()
        slider.Attributes.Pivot = System.Drawing.PointF(
            X_param_coord - (slider.Attributes.Bounds.Width) - X_offset,
            Y_param_coord - (slider.Attributes.Bounds.Height / 2 - 0.1)
            )
        slider.Attributes.ExpireLayout()
        gh.Instances.ActiveCanvas.Document.AddObject(slider, False)
        ghenv.Component.Params.Input[indx].AddSource(slider)  # noqa: F821

def add_plane_object(self,
    nickname: str,
    indx: int,
    X_param_coord: float,
    Y_param_coord: float,
    X_offset: int=75
    ) -> None:
    """
        Adds a plane object to the component input

        :param nickname: the nickname of the plane object
        :param indx: the index of the input parameter
        :param X_param_coord: the x coordinate of the input parameter
        :param Y_param_coord: the y coordinate of the input parameter
        :param X_offset: the offset of the plane object from the input parameter
    """
    param = ghenv.Component.Params.Input[indx]  # noqa: F821
    if param.SourceCount == 0:
        doc = Instances.ActiveCanvas.Document
        if doc:
            plane = gh.Kernel.Parameters.Param_Plane()
            plane.NickName = nickname
            plane.CreateAttributes()
            plane.Attributes.Pivot = System.Drawing.PointF(
                X_param_coord - (plane.Attributes.Bounds.Width) - X_offset,
                Y_param_coord
                )
            plane.Attributes.ExpireLayout()
            doc.AddObject(plane, False)
            ghenv.Component.Params.Input[indx].AddSource(plane)  # noqa: F821


class DFVisualizationSettings(component):
    def __init__(self):
        self.poss_value_types = ["Dist", "RMSE", "MAX", "MIN", "STD"]
        self.poss_palettes = ["Jet", "Rainbow", "RdPu", "Viridis"]

        ghenv.Component.ExpireSolution(True)  # noqa: F821
        ghenv.Component.Attributes.PerformLayout()  # noqa: F821
        params = getattr(ghenv.Component.Params, "Input")  # noqa: F821
        for j in range(len(params)):
            Y_cord = params[j].Attributes.InputGrip.Y
            X_cord = params[j].Attributes.Pivot.X
            input_indx = j
            if "i_value_type" == params[j].NickName:
                add_str_valuelist(
                    ghenv.Component,  # noqa: F821
                    self.poss_value_types,
                    "DF_value_t",
                    input_indx, X_cord, Y_cord)
            if "i_palette" == params[j].NickName:
                add_str_valuelist(
                    ghenv.Component,  # noqa: F821
                    self.poss_palettes,
                    "DF_palette",
                    input_indx, X_cord, Y_cord)
            if "i_legend_height" == params[j].NickName:
                add_slider(
                    ghenv.Component,  # noqa: F821
                    "DF_legend_height",
                    input_indx,
                    0.000, 20.000, 10.000,
                    X_cord, Y_cord)
            if "i_legend_width" == params[j].NickName:
                add_slider(
                    ghenv.Component,  # noqa: F821
                    "DF_legend_width",
                    input_indx,
                    0.000, 2.000, 0.500,
                    X_cord, Y_cord)
            if "i_legend_plane" == params[j].NickName:
                add_plane_object(
                    ghenv.Component,  # noqa: F821
                    "DF_legend_plane",
                    input_indx, X_cord, Y_cord)
            if "i_histogram_scale_factor" == params[j].NickName:
                add_slider(
                    ghenv.Component,  # noqa: F821
                    "DF_histogram_scale_factor",
                    input_indx,
                    0.000, 1.000, 0.01,
                    X_cord, Y_cord)

    def RunScript(self,
            i_value_type: str,
            i_palette: str,
            i_upper_threshold: float,
            i_lower_threshold: float,
            i_legend_height: float,
            i_legend_width: float,
            i_legend_plane: Rhino.Geometry.Plane,
            i_histogram_scale_factor: float,
            i_one_histogram_per_item: float):

        """
        Compiles all the visualization settings to feed to the visualization component

        :param i_value_type: selected type indicates Which values to display. Possible values: "dist", "RMSE", "MAX", "MIN", "STD"
        :param i_palette: Select a color palette to map the values to. Possible values: "Jet", "Rainbow", "RdPu", "Viridis"
        :param i_upper_threshold: Thresholds the values with a maximum value
        :param i_lower_threshold: Thresholds the values with a minimum value
        :param i_legend_height: the total height of the legend
        :param i_legend_width: the total width of the legend
        :param i_legend_plane: the construction plane of the legend
        :param i_histogram_scale_factor: Scales the height of the histogram with a factor

        :returns o_viz_settings: the results of the comparison all in one object
        """
        # set default values
        if i_value_type is not None:
            if i_value_type not in self.poss_value_types:
                ghenv.Component.AddRuntimeMessage(RML.Warning, "Possible values for i_value_type are: dist, RMSE, MAX, MIN, STD")  # noqa: F821
                return None
        else:
            i_value_type = "Dist"
        if i_palette is not None:
            if i_palette not in self.poss_palettes:
                ghenv.Component.AddRuntimeMessage(RML.Warning, "Possible values for i_palette are: Jet, Rainbow, RdPu, Viridis")  # noqa: F821
                return None
        else:
            i_palette = "Jet"
        if i_legend_height is None:
            i_legend_height = 10
        if i_legend_width is None:
            i_legend_width = 0.5
        if i_legend_plane is None:
            i_legend_plane = Rhino.Geometry.Plane.WorldXY
        if i_histogram_scale_factor is None:
            i_histogram_scale_factor = 0.01
        if i_one_histogram_per_item is None:
            i_one_histogram_per_item = False

        # pack settings
        o_viz_settings = df_visualization.DFVizSettings(i_value_type,
                                                        i_palette,
                                                        i_upper_threshold,
                                                        i_lower_threshold,
                                                        i_legend_height,
                                                        i_legend_width,
                                                        i_legend_plane,
                                                        i_histogram_scale_factor,
                                                        i_one_histogram_per_item)

        return o_viz_settings

# if __name__ == "__main__":
#     com = DFVisualizationSettings()
#     o_viz_settings = com.RunScript(
#         i_value_type,
#         i_palette,
#         i_upper_threshold,
#         i_lower_threshold,
#         i_legend_height,
#         i_legend_width,
#         i_legend_plane,
#         i_histogram_scale_factor,
#         i_one_histogram_per_item
#         )
 - DFVisualizationSettings - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - c2c5f117-6acf-4a8c-903f-6d863fddf02d - 1 - cd703561-c552-41a8-a00a-4e7c7db7bbc9 - Group - DFVisualizationSettings - - - - - - - - - - 00027467-0d24-4fa7-b178-8dc0ac5f42ec - Value List - - - - - Select the value to use with DFVizSettings - 1ac4885d-e77a-4fe6-b262-65e4a59b1940 - 5 - 1 - Value List - DF_value_t - false - 0 - - - - - "Dist" - Dist - true - - - - - "RMSE" - RMSE - false - - - - - "MAX" - MAX - false - - - - - "MIN" - MIN - false - - - - - "STD" - STD - false - - - - - - 2132 - 796 - 215 - 22 - - - 2252 - 796 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 1ac4885d-e77a-4fe6-b262-65e4a59b1940 - 1 - 01797892-a90a-42f6-bcb6-b16d786c1006 - Group - Value List - - - - - - - - - - 00027467-0d24-4fa7-b178-8dc0ac5f42ec - Value List - - - - - Select the value to use with DFVizSettings - 50783eae-e987-43f0-a519-6ee4b38e7869 - 4 - 1 - Value List - DF_palette - false - 0 - - - - - "Jet" - Jet - true - - - - - "Rainbow" - Rainbow - false - - - - - "RdPu" - RdPu - false - - - - - "Viridis" - Viridis - false - - - - - - 2132 - 816 - 243 - 22 - - - 2252 - 816 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 50783eae-e987-43f0-a519-6ee4b38e7869 - 1 - e0ee1c91-8379-4f50-8d31-d951908d4775 - Group - Value List - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Set the value for the threshold - 4f784333-603f-46c7-ba6a-793ccc589280 - Number Slider - DF_legend_height - false - 0 - - - - - - 2169 - 877 - 220 - 20 - - - 2169 - 877.1 - - - - - - 3 - 1 - 0 - 20 - 0 - 0 - 10 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Set the value for the threshold - da3017c5-6d7f-4483-97cd-92639070a865 - Number Slider - DF_legend_width - false - 0 - - - - - - 2173 - 897 - 216 - 20 - - - 2173 - 897.1 - - - - - - 3 - 1 - 0 - 2 - 0 - 0 - 0.5 - - - - - - - - - 4f8984c4-7c7a-4d69-b0a2-183cbb330d20 - Plane - - - - - Contains a collection of three-dimensional axis-systems - 4c3b1ede-9c37-4c56-a8ac-92a62b31c8d5 - Plane - DF_legend_plane - false - 0 - - - - - - 2339 - 915 - 50 - 24 - - - 2364 - 927 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 4c3b1ede-9c37-4c56-a8ac-92a62b31c8d5 - 1 - 59cdba7f-b066-4f12-b997-0b7c6dfcb36d - Group - Plane - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Set the value for the threshold - 43705a1e-c219-4ac7-9800-58c3b285bb7b - Number Slider - DF_histogram_scale_factor - false - 0 - - - - - - 2128 - 937 - 261 - 20 - - - 2128 - 937.1 - - - - - - 3 - 1 - 0 - 1 - 0 - 0 - 0.13 - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 70acd124-4870-4d77-ba83-d09e3a11cadd - Panel - - false - 0 - 43c78988-87e9-425a-aafd-fc72c9f86e95 - 1 - Double click to edit panel content… - - - - - - 1636 - 932 - 160 - 310 - - 0 - 0 - 0 - - 1636.2627 - 932.2975 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFJointSegmentator - - - - - - true - 2 - - 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 - - e41c92cf-c9e8-42b7-9805-9a9ab7317816 - true - false - true - DFJointSegmentator - DFJointSegmentator - 3 - - false - false - false - false - - - - - - 1572 - 1311 - 304 - 104 - - - 1726 - 1363 - - - - - - 5 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - 1 - true - The cluster point clouds from normal segmentation. - fcdcf4e5-5ba4-4394-a185-8f9644e42c2b - i_clusters - i_clusters - true - 1 - 2 - true - 43c78988-87e9-425a-aafd-fc72c9f86e95 - 1 - The cluster point clouds from normal segmentation. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 1574 - 1313 - 137 - 20 - - - 1644 - 1323 - - - - - - RhinoCommon - Rhino.Geometry.PointCloud - - - - - - - true - The assembly to extract the joints from - d7ce6aef-20f3-457d-9145-f01075b35a46 - i_assembly - i_assembly - true - 0 - 2 - true - 2241d514-32c2-414d-87ed-234bc200e4a4 - 1 - The assembly to extract the joints from - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1574 - 1333 - 137 - 20 - - - 1644 - 1343 - - - - - - System.Private.CoreLib - System.Object - - - - - - - true - From 0 to 1, it's the sin value. By default 0.1. The closer to 0 the less permissive and viceversa to 1. - 0097a064-2129-43d6-ab52-44eb5fd3dc35 - i_angle_threshold - i_angle_threshold - true - 0 - 2 - true - 0 - From 0 to 1, it's the sin value. By default 0.1. The closer to 0 the less permissive and viceversa to 1. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1574 - 1353 - 137 - 20 - - - 1644 - 1363 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - From 0 to infinite. By default 0.1. The closer to 0 the less permissive your point. - b35219f6-8fa6-4f3f-90c1-f6dc56a06f6f - i_distance_threshold - i_distance_threshold - true - 0 - 2 - true - 0 - From 0 to infinite. By default 0.1. The closer to 0 the less permissive your point. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1574 - 1373 - 137 - 20 - - - 1644 - 1383 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - The maximum correspondence distance for the local ICP registration that re-aligns the joints for per-face analysis of each joint. The default value is 0.005 - 0ed16164-9851-4237-a1f1-32b9fb28acd4 - i_correspondence_distance - i_correspondence_distance - true - 0 - 2 - true - 0 - The maximum correspondence distance for the local ICP registration that re-aligns the joints for per-face analysis of each joint. The default value is 0.005 - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1574 - 1393 - 137 - 20 - - - 1644 - 1403 - - - - - - System.Private.CoreLib - System.Double - - - - - - - false - The individual faces of the extracted joints. - 1ec878d1-39e9-4ee2-842d-b7156484b924 - o_joint_face_segments - o_joint_face_segments - false - 0 - 2 - true - 0 - The individual faces of the extracted joints. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1741 - 1313 - 133 - 33 - - - 1807.5 - 1329.6666 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The extracted joints. - c81c6e35-0df4-4a07-9ea8-fb0043049f50 - o_joint_segments - o_joint_segments - false - 0 - 2 - true - 0 - The extracted joints. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1741 - 1346 - 133 - 33 - - - 1807.5 - 1363 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The reference point clouds of the joints. They are generated from the - 7495ac76-f43a-45af-bea7-d99b3e65b64c - o_reference_point_clouds - o_reference_point_clouds - false - 0 - 2 - true - 0 - The reference point clouds of the joints. They are generated from the - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1741 - 1379 - 133 - 34 - - - 1807.5 - 1396.3333 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - 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 - DFJointSegmentator - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - e41c92cf-c9e8-42b7-9805-9a9ab7317816 - 1 - 0d1d10da-b00c-445f-bd61-9dd57d83d4ff - Group - DFJointSegmentator - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 02720478-72d0-45e5-865a-9e488fa9a808 - Panel - - false - 0 - c81c6e35-0df4-4a07-9ea8-fb0043049f50 - 1 - Double click to edit panel content… - - - - - - 1732 - 1484 - 160 - 219 - - 0 - 0 - 0 - - 1732.941 - 1484.1584 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - 59daf374-bc21-4a5e-8282-5504fb7ae9ae - List Item - - - - - 0 - Retrieve a specific item from a list. - fb62ec88-289d-43dc-817b-4ac2457c2de7 - List Item - List Item - - - - - - 2022 - 1614 - 96 - 64 - - - 2088 - 1646 - - - - - - 3 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - 2e3ab970-8545-46bb-836c-1c11e5610bce - cb95db89-6165-43b6-9c41-5702bc5bf137 - 1 - 8ec86459-bf01-4409-baee-174d0d2b13d0 - - - - - 1 - Base list - 378e20ec-1483-402e-a69e-fea42ed6b777 - 1 - List - List - false - c81c6e35-0df4-4a07-9ea8-fb0043049f50 - 1 - - - - - - 2024 - 1616 - 49 - 20 - - - 2058 - 1626 - - - - - - - - Item index - 70a49570-4140-4b83-81d9-bca6ba7628ea - Index - Index - false - 3009b8aa-b3b1-4ad7-92f1-dee69a288793 - 1 - - - - - - 2024 - 1636 - 49 - 20 - - - 2058 - 1646 - - - - - - 1 - - - - - 1 - {0} - - - - - 0 - - - - - - - - - - - Wrap index to list bounds - 69f26f91-3a2e-4bfe-aa3d-0d1825414288 - Wrap - Wrap - false - 0 - - - - - - 2024 - 1656 - 49 - 20 - - - 2058 - 1666 - - - - - - 1 - - - - - 1 - {0} - - - - - true - - - - - - - - - - - Item at {i'} - 70fdd809-b5df-4a0e-8410-0882c64e13ee - false - Item - i - false - 0 - - - - - - 2103 - 1616 - 13 - 60 - - - 2109.5 - 1646 - - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - fb62ec88-289d-43dc-817b-4ac2457c2de7 - 1 - 3d882734-b131-4fb1-9e6a-f9f6e469d135 - Group - List Item - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 3009b8aa-b3b1-4ad7-92f1-dee69a288793 - Number Slider - Number Slider - false - 0 - - - - - - 1796 - 1636 - 203 - 20 - - - 1796.147 - 1636.1763 - - - - - - 3 - 1 - 1 - 1 - 0 - 0 - 1 - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - 1 - a687e636-88ca-490b-b9c6-5a53ebf255ac - Point Cloud - Invalid Point Cloud - false - 0 - - - - - - 2218 - 1685 - 105 - 20 - - - 2271.1123 - 1695.8608 - - - - - - 1 - - - - - 1 - {0} - - - - - - YmBkYGD4DwQgGgR4mIBEeFBGZl6+c35ubn6ejkJYalFxZn6erYWeoaGekYmRqYmeoamBgaGOgnNpTklpUaptXmppSVFijo5CQGlSTmayd2plSH52ap6tqamRkYVhqqV5srmpqamxASvIFkmw4Xruqfm5qSVFlXoB+Zl5Jc45+aUpLEBZ9jKIbVyJRckZmWWpxim5nPkFqXl5pUVJxSwpiSWJIEUcHBxMIIcKqDMwGAHpKS0CPJzMQAY/iOAFWsP0q56JgRHqq9//mRhEoB50/9yh8uvHZcH9bxgEmhmVPgjnu1f8AcqfhMoLQWk84IM9beTRxXGq24/ffAaG8tt98/7XMzXA+Ny4FAIAAAD//wMA - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - a687e636-88ca-490b-b9c6-5a53ebf255ac - 1 - fa3eb54b-7e39-4502-a1f2-c3fd30f48b1e - Group - Point Cloud - - - - - - - - - - e9eb1dcf-92f6-4d4d-84ae-96222d60f56b - Move - - - - - Translate (move) an object along a vector. - 44e9541d-5715-425a-a444-e1c232d90b04 - Move - Move - - - - - - 2128 - 1064 - 148 - 44 - - - 2200 - 1086 - - - - - - Base geometry - a44dfded-6fad-4128-aeb3-45f187741f66 - Geometry - Geometry - true - 8009ad61-8863-47fb-ab51-0fa1486f9562 - 1 - - - - - - 2130 - 1066 - 55 - 20 - - - 2159 - 1076 - - - - - - - - Translation vector - a4d14385-820e-4308-b2ca-3149ed44d33f - Motion - Motion - false - c6f9f8a6-2302-415a-b731-3464abf34076 - 1 - - - - - - 2130 - 1086 - 55 - 20 - - - 2159 - 1096 - - - - - - 1 - - - - - 1 - {0} - - - - - - 0 - 0 - 10 - - - - - - - - - - - - Translated geometry - f70911b2-b517-4e66-9ca4-6c795a598bd6 - Geometry - Geometry - false - 0 - - - - - - 2215 - 1066 - 59 - 20 - - - 2244.5 - 1076 - - - - - - - - Transformation data - 6df5b0e4-667d-492e-91f5-5ead0482a641 - Transform - Transform - false - 0 - - - - - - 2215 - 1086 - 59 - 20 - - - 2244.5 - 1096 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 44e9541d-5715-425a-a444-e1c232d90b04 - 1 - 87d5a96c-ec55-43de-8e15-94077968b609 - Group - Move - - - - - - - - - - 9103c240-a6a9-4223-9b42-dbd19bf38e2b - Unit Z - - - - - Unit vector parallel to the world {z} axis. - 82be06bf-5edd-4161-ad80-bead96022899 - Unit Z - Unit Z - - - - - - 1963 - 1072 - 134 - 28 - - - 2017 - 1086 - - - - - - Unit multiplication - ff327d25-ab70-435b-b143-e4d53aa7330a - Factor - Factor - false - 5bb068ec-5984-42dc-8686-9f2609b709bf - 1 - - - - - - 1965 - 1074 - 37 - 24 - - - 1985 - 1086 - - - - - - 1 - - - - - 1 - {0} - - - - - 1 - - - - - - - - - - - World {z} vector - c6f9f8a6-2302-415a-b731-3464abf34076 - Unit vector - Unit vector - false - 0 - - - - - - 2032 - 1074 - 63 - 24 - - - 2063.5 - 1086 - - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 82be06bf-5edd-4161-ad80-bead96022899 - 1 - b9ab6dad-128c-4cd0-8866-0f16d62beedf - Group - Unit Z - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 5bb068ec-5984-42dc-8686-9f2609b709bf - Number Slider - Number Slider - false - 0 - - - - - - 1736 - 1076 - 203 - 20 - - - 1736.1467 - 1076.4115 - - - - - - 1 - 1 - 0 - 0.1 - 0 - 0 - 0.1 - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructAssembly - - - - - - true - 2 - - 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 - - 8cc3302c-4ed6-42a7-a21a-d1f5570695bd - true - false - true - DFDeconstructAssembly - DFDeconstructAssembly - 3 - - false - false - false - false - - - - - - 289 - 557 - 146 - 28 - - - 365 - 571 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The DFAssembly object to deconstruct. - df638d23-4764-4ceb-9f6a-f75962e50825 - i_assembly - i_assembly - true - 0 - 2 - true - 2241d514-32c2-414d-87ed-234bc200e4a4 - 1 - The DFAssembly object to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 291 - 559 - 59 - 24 - - - 322 - 571 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The set of beams contained by this DFAssembly object. - 2f06fff1-cf46-4b1d-8229-8426f5fff17c - o_beams - o_beams - false - 0 - 2 - true - 0 - The set of beams contained by this DFAssembly object. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 380 - 559 - 53 - 24 - - - 406.5 - 571 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - IiIiRGVjb25zdHJ1Y3QgdGhlIERGQXNzZW1ibHkgaW50byBhIHNldCBvZiBkZl9iZWFtcyBvYmplY3RzLiIiIg0KIyEgcHl0aG9uMwoKCgpmcm9tIGdocHl0aG9ubGliLmNvbXBvbmVudGJhc2UgaW1wb3J0IGV4ZWN1dGluZ2NvbXBvbmVudCBhcyBjb21wb25lbnQKCgoKY2xhc3MgREZEZWNvbnN0cnVjdEFzc2VtYmx5KGNvbXBvbmVudCk6CiAgICBkZWYgUnVuU2NyaXB0KHNlbGYsIGlfYXNzZW1ibHkpOgogICAgICAgIG9fYmVhbXMgPSBpX2Fzc2VtYmx5LmJlYW1zCiAgICAgICAgcmV0dXJuIG9fYmVhbXMK - DFDeconstructAssembly - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 8cc3302c-4ed6-42a7-a21a-d1f5570695bd - 1 - 34951138-2dd4-4c76-8429-5d963f13f388 - Group - DFDeconstructAssembly - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 88e8a8f0-975e-4b38-873b-cd13fcffe6b7 - Panel - - false - 0 - 2f06fff1-cf46-4b1d-8229-8426f5fff17c - 1 - Double click to edit panel content… - - - - - - 479 - 491 - 160 - 100 - - 0 - 0 - 0 - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFDeconstructBeam - - - - - - true - 2 - - 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 - - 57cab45a-b71b-4a5f-931b-cefa9d3d72c2 - true - false - true - DFDeconstructBeam - DFDeconstructBeam - 3 - - false - false - false - false - - - - - - 504 - 627 - 168 - 64 - - - 583 - 659 - - - - - - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - 1 - true - The DFBeam objects to deconstruct. - e36436ca-e252-4e44-b78d-f61d3929ee2f - 2 - i_beams - i_beams - true - 1 - 2 - true - 2f06fff1-cf46-4b1d-8229-8426f5fff17c - 1 - The DFBeam objects to deconstruct. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 506 - 629 - 62 - 60 - - - 546.5 - 659 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The side faces of as Breps of the beam. - 9fde3581-8d25-425c-be82-c30b4dce8d2d - o_side_faces - o_side_faces - false - 0 - 2 - true - 0 - The side faces of as Breps of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 598 - 629 - 72 - 20 - - - 634 - 639 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The faces as Breps belonging to joints of the beam. - 9a7fee7d-9ea8-46a7-84e3-be61235bddc1 - o_joint_faces - o_joint_faces - false - 0 - 2 - true - 0 - The faces as Breps belonging to joints of the beam. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 598 - 649 - 72 - 20 - - - 634 - 659 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - An integer indicating to which joint the joint faces are belonging to. - 18ac19d1-846a-49bc-bbed-ec5e17a171a9 - o_joint_ids - o_joint_ids - false - 0 - 2 - true - 0 - An integer indicating to which joint the joint faces are belonging to. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 598 - 669 - 72 - 20 - - - 634 - 679 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - IiIiRGVjb25zdHJ1Y3QgdGhlIERGQmVhbSBvYmplY3RzIGludG8gc2VtYW50aWMgUmhpbm8gb2JqZWN0cy4iIiINCiMhIHB5dGhvbjMKCmltcG9ydCBTeXN0ZW0KCmZyb20gZ2hweXRob25saWIuY29tcG9uZW50YmFzZSBpbXBvcnQgZXhlY3V0aW5nY29tcG9uZW50IGFzIGNvbXBvbmVudAoKCmNsYXNzIERGRGVjb25zdHJ1Y3RCZWFtKGNvbXBvbmVudCk6CiAgICBkZWYgUnVuU2NyaXB0KHNlbGYsIGlfYmVhbXM6IFN5c3RlbS5Db2xsZWN0aW9ucy5HZW5lcmljLkxpc3Rbb2JqZWN0XSk6CiAgICAgICAgb19zaWRlX2ZhY2VzLCBvX2pvaW50X2ZhY2VzLCBvX2pvaW50X2lkcyA9IFtdLCBbXSwgW10KCiAgICAgICAgZm9yIGlfYiBpbiBpX2JlYW1zOgogICAgICAgICAgICBvX3NpZGVfZmFjZXMgPSBbZi50b19icmVwX2ZhY2UoKSBmb3IgZiBpbiBpX2Iuc2lkZV9mYWNlc10KICAgICAgICAgICAgb19qb2ludF9mYWNlcyA9IFtmLnRvX2JyZXBfZmFjZSgpIGZvciBmIGluIGlfYi5qb2ludF9mYWNlc10KICAgICAgICAgICAgb19qb2ludF9pZHMgPSBbZi5qb2ludF9pZCBmb3IgZiBpbiBpX2Iuam9pbnRfZmFjZXNdCgogICAgICAgIHJldHVybiBvX3NpZGVfZmFjZXMsIG9fam9pbnRfZmFjZXMsIG9fam9pbnRfaWRzCg== - DFDeconstructBeam - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 57cab45a-b71b-4a5f-931b-cefa9d3d72c2 - 1 - f95d0c9d-20bf-4f16-8707-924766a6aded - Group - DFDeconstructBeam - - - - - - - - - - 2e78987b-9dfb-42a2-8b76-3923ac8bd91a - Boolean Toggle - - - - - Boolean (true/false) toggle - e68d4831-b3ab-4c71-8ace-c9f17ece6d18 - Boolean Toggle - Boolean Toggle - false - 0 - true - - - - - - 2274 - 1790 - 146 - 22 - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - f3f83117-32c4-4dcc-9701-dd02512c4bab - 1 - 05da4751-f0f0-4dd9-9841-7dc3ff163c31 - Group - script-sync cpython - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - 2 - - 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 - - 1a37f94a-ed75-4a78-8894-a7304a94e469 - true - false - true - script-sync cpython - script-sync cpython - 3 - - false - false - false - false - - - - - - 2491 - 1684 - 190 - 144 - - - 2623 - 1756 - - - - - - 7 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - 2a1662a4-15c1-4ada-9d79-e5ccda922dbf - select_file - select_file - true - 0 - 2 - true - beb354a6-88cb-4462-89f2-ea770ab2dec0 - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 2493 - 1686 - 115 - 20 - - - 2552 - 1696 - - - - - - System.Private.CoreLib - System.Boolean - - - - - - - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - dc2014f7-15cb-4af4-8b23-6bcd9021ba12 - package_2_reload - package_2_reload - true - 0 - 2 - true - 0 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 2493 - 1706 - 115 - 20 - - - 2552 - 1716 - - - - - - System.Private.CoreLib - System.String - - - - - - - true - A generic x input. - 6e36b7aa-9cc5-498c-941e-c22c01807fa0 - i_dump - i_dump - true - 0 - 2 - true - ec7b2da5-c7a1-42a5-8d07-a43cf6265f84 - 1 - A generic x input. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 2493 - 1726 - 115 - 20 - - - 2552 - 1736 - - - - - - System.Private.CoreLib - System.Double - - - - - - - true - rhinoscriptsyntax geometry - 7b3769cb-0ef7-4cfc-be60-e50ea5a71553 - i_export_dir - i_export_dir - true - 0 - 2 - true - ae13e058-b13e-46a6-80d4-ff6430a32f0c - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2493 - 1746 - 115 - 20 - - - 2552 - 1756 - - - - - - System.Private.CoreLib - System.Object - - - - - - - true - rhinoscriptsyntax geometry - 43c121bf-5a39-4c32-a96b-00398e418487 - i_file_name - i_file_name - true - 0 - 2 - true - a5547a84-e4e2-480d-a053-e131b414c768 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2493 - 1766 - 115 - 20 - - - 2552 - 1776 - - - - - - System.Private.CoreLib - System.Object - - - - - - - true - rhinoscriptsyntax geometry - 4279059e-862c-42e8-800f-9dc66227cc1d - i_export_seperate_files - i_export_seperate_files - true - 0 - 2 - true - e68d4831-b3ab-4c71-8ace-c9f17ece6d18 - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2493 - 1786 - 115 - 20 - - - 2552 - 1796 - - - - - - System.Private.CoreLib - System.Object - - - - - - - true - rhinoscriptsyntax geometry - ef19cb92-508a-4733-8b30-85469c4c23e1 - i_result - i_result - true - 0 - 2 - true - 6d78a51e-f8aa-4f34-a818-52f6ec15308b - 1 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2493 - 1806 - 115 - 20 - - - 2552 - 1816 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - The redirected standard output of the component scriptsync. - 3a5c3f6c-4df9-4a8f-be9d-caf43feacffa - stdout - stdout - false - 0 - 2 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2638 - 1686 - 41 - 70 - - - 2658.5 - 1721 - - - - - - System.Private.CoreLib - System.Object - - - - - - - false - Generic example output of the component - 9e1f387d-0a15-4e08-b0c0-af229828a7f1 - a - a - false - 0 - 2 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2638 - 1756 - 41 - 70 - - - 2658.5 - 1791 - - - - - - System.Private.CoreLib - System.Object - - - - - - - - - true - false - true - import System
import System.Drawing
import Rhino
import rhinoscriptsyntax as rs
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import typing

import abc
import socket
import threading
import queue
import json

import importlib
import sys

import traceback

def add_button(self,
    nickname: str,
    indx: int,
    X_param_coord: float,
    Y_param_coord: float,
    X_offset: int=100
    ) -> None:
    """
        Adds a button to the component input

        :param nickname: the nickname of the button
        :param indx: the index of the input parameter
        :param X_param_coord: the x coordinate of the input parameter
        :param Y_param_coord: the y coordinate of the input parameter
        :param X_offset: the offset of the button from the input parameter
    """
    param = ghenv.Component.Params.Input[indx]
    if param.SourceCount == 0:
        button = Grasshopper.Kernel.Special.GH_ButtonObject()
        button.NickName = ""
        button.Description = ""
        button.CreateAttributes()
        button.Attributes.Pivot = System.Drawing.PointF(
            X_param_coord - (button.Attributes.Bounds.Width) - X_offset,
            Y_param_coord - (button.Attributes.Bounds.Height / 2 - 0.1)
            )
        button.Attributes.ExpireLayout()
        Grasshopper.Instances.ActiveCanvas.Document.AddObject(button, False)
        ghenv.Component.Params.Input[indx].AddSource(button)

class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Not connected to vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}, have you tried to press Shift+F4 on VSCode?"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified

class ScriptSyncCPy(Grasshopper.Kernel.GH_ScriptInstance):
    def __init__(self):
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"
        else:
            ghenv.Component.Message = os.path.basename(self.path)

        ghenv.Component.ExpireSolution(True)
        ghenv.Component.Attributes.PerformLayout()
        params = getattr(ghenv.Component.Params, "Input")
        for j in range(len(params)):
            X_cord = params[j].Attributes.Pivot.X
            Y_cord = params[j].Attributes.InputGrip.Y
            if params[j].Name == "select_file":
                add_button(self, "Select file", j, X_cord, Y_cord)

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, select_file : bool = False) -> None:
        """
            Check if the button is pressed and load/change path script.
            
            :param select_file: A boolean of the button
        """
        # check if button is pressed
        if select_file is True:
            filename = rs.OpenFileName("Open", "Python Files (*.py)|*.py||")
            if filename is None:
                raise Exception("script-sync::No file selected")
            self.path = filename

        if self.path is None:
            ghenv.Component.AddRuntimeMessage(RML.Remark, "script-sync::No file selected")
            return
        else:
            # if file is in table view before
            if not os.path.exists(self.path):
                raise Exception("script-sync::File does not exist")

    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, package_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param package_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        output_buffer = io.StringIO()
        try:
            sys.stdout = output_buffer
            with open(path, 'r') as f:
                # reload the specifyed packages
                if package_2_reload is not None:
                    if package_2_reload.__len__() != 0:
                        for key in list(sys.modules.keys()):
                            if package_2_reload in key:
                                # check that the package must have the attribute __file__ (to avoid reloading pyd)
                                if hasattr(sys.modules[key], '__file__'):
                                    importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                # output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # clear all the locals dictionary to avoid that the output variables stick between the component
                # executions when it is recomputed
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        del locals[outp]

                # execute the code
                with contextlib.redirect_stdout(output_buffer):
                    exec(code, globals, locals)
                locals["stdout"] = output_buffer.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output_buffer.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)
            return locals

        except Exception as e:
            # sys.stdout = sys.__stdout__
            # Get the traceback
            tb = traceback.format_exc()

            # Send the error message to the vscode server
            err_json = json.dumps({
                "script_path": path,
                "guid": str(ghenv.Component.InstanceGuid),
                "msg": "err:" + str(e),
                "traceback": tb  # Include the traceback in the JSON
            })
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()

            # FIXME: this is not working the retrival of the previous messages
            # for debugging purposes we include the prints before and the error message
            err_msg_header = f"script-sync::Error in the code file {path}"
            err_msg_sep = ">" * 30
            err_msg = f"script-sync::Error in the code: {str(e)}\n{tb}"
            prints_before_err_msg = output_buffer.getvalue()
            prints_before_msg = prints_before_err_msg.split("\n")

            err_msg = err_msg_header + \
                f"\n{err_msg_sep}\n" + "Error msg:" + f"\n{err_msg_sep}\n" + \
                err_msg
                # f"\n{err_msg_sep}\n" + "Preavious prints before error:" + f"\n{err_msg_sep}\n" + \
                # "\n".join(prints_before_msg[:-1])

            raise Exception(err_msg)
        
        finally:
            sys.stdout = sys.__stdout__
            output_buffer.close()

    def RunScript(self,
            select_file: bool,
            package_2_reload: str,
            i_dump: float,
            i_export_dir,
            i_file_name,
            i_export_seperate_files,
            i_result):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()
        
        # set the path if button is pressed
        self.init_script_path(select_file)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                            self.filechanged_thread_name
                            ).start()

    

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        # execute the external script
        if self.path is not None:
            res = self.safe_exec(self.path, None, globals(), package_2_reload)
            self.is_success = True
        
        return

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        def _nesting_level(container: typing.Union[typing.List, typing.Tuple]) -> int:
            """ Get the level of nesting of a list or tuple. """
            if isinstance(container, (list, tuple)):
                return 1 + max(_nesting_level(item) for item in container)
            else:
                return 0

        def _is_nested_iterable( lst):
            """ Detect if a list is nested. """
            return any(isinstance(i, list) for i in lst)
        
        if not self.is_success:
            return

        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]

        for idx, outp in enumerate(outparam):
            # case: nested lists
            if type(self._var_output[idx]) == tuple or type(self._var_output[idx]) == list:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                if _nesting_level(self._var_output[idx]) == 1:
                    ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
                elif _nesting_level(self._var_output[idx]) == 2:
                    nbr_tuples_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_tuples_aka_branches):
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i), self._var_output[idx][i])
                elif _nesting_level(self._var_output[idx]) > 2:
                    nbr_tuples_aka_branches = len(self._var_output[idx])
                    for i in range(nbr_tuples_aka_branches):
                        for j in range(len(self._var_output[idx][i])):
                            ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(i, j), self._var_output[idx][i][j])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                # case: the user is returning a Grasshopper.DataTree[System.Object] via the utility ghpythonlib.treehelpers
                # e.g.: list_tree = th.list_to_tree(list_A)
                # this will be conserve the structure
                if type(self._var_output[idx]) == Grasshopper.DataTree[System.Object]:
                    self._var_output[idx].SimplifyPaths()
                    branch_count = self._var_output[idx].BranchCount
                    for i in range(branch_count):
                        path = self._var_output[idx].Paths[i]
                        print(path)
                        data = self._var_output[idx].Branch(path)
                        ghenv.Component.Params.Output[idx].AddVolatileDataList(path, data)
                # case: simple single value
                else:
                    ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - script-sync cpython - - - - - *.*.python - 3.* - - - - - - - - - - - c552a431-af5b-46a9-a8a4-0fcbc27ef596 - Group - - - - - 1 - - 0;100;150;75 - - A group of Grasshopper objects - 1a37f94a-ed75-4a78-8894-a7304a94e469 - 1 - 5017b57f-7f3a-435b-8d52-090b252a0e5c - Group - script-sync cpython - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - - False - True - beb354a6-88cb-4462-89f2-ea770ab2dec0 - Button - - false - 0 - - - - - - 2382 - 1656 - 66 - 22 - - true - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 30c9c015-0aed-410e-ae9f-15b56cabdc20 - Panel - - false - 0.4985446473583579 - bf2e76b8-2839-4efe-9791-064d61a73c11 - 1 - Double click to edit panel content… - - - - - - 2767 - 742 - 759 - 486 - - 0 - 0 - 0 - - 2767.4692 - 742.5979 - - - - - - - 255;255;250;90 - - true - true - true - false - false - true - - - - - - - - - - - - - - iVBORw0KGgoAAAANSUhEUgAAASwAAADICAIAAADdvUsCAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAHYcAAB2HAY/l8WUAAEfuSURBVHhe7Z0FeBRH/8fvdm/l7vZcYgRpKW2BUty1OEWDu2uABIeixaW4lOLuUrzF3ZIQkhASiId4iEBoad++/fP/Zje55kLblxaJMN/n99wzOzM7O3c3n/3+5nJJZERERHmvF0RERHmkPyDckkPnzp6vVqvy+G09qrlV7d6tOzqUK1cuNjYuPj7hERER0ZuTHYRrc+jEsZOVa3zeZ3WDDh5uaHJ3d0ef5SuW/fLst6TY9LiYxKwBiIiIXk92EE7Poa1btlWoWrb36notB7dAU1BQEPrU6FB0f8yYsw82BUfeTYxNSYh5nDUMERHRv5UdhPWzVbduXY8RnqU//6jn6lotBjVH0507d9CnQmf1vNBKM7yqLPRptidgsl/4tcTY1LgYJKjRWeMRERH9Q9lBWCdbNWvWHDxwyMeffdB5ReWOnu3R1KZNG/QZv7bjurDOs7xrfn27+qzbtRfcanYoYH5EdAhQzBqPiIjoH8oOwtrZAoR9+/T/qEzxXutrfNKoVMUKFdGhefPmaSlPo2Mib4Yd3xEwbr5X4zk3G8y92XCNVx+f0PNJsWkxj2KyRiUiInpl2UEI9iTVqFGje9ceH3zi2ndLTZmDjKKofv36oXdSUlLsozjwBuu7G35p892Rc282XnCjxeKbbueDdmGXGPMoVhqXiIjoFWUHIdiTVL169Q5unYqXcm67/OOq7SrfD7ifkZGRkJAQHf3H3g/Ixcckngna/M3NtotutFl4vc2pe+sSYh/HxBAOiYj+gewgrJKtypUrt/qytWtJx2bfFG3Sr2FGekZMzJ+kmjGP4pJjnyAXXXG7+zfX3b651v7HextFPyR5KRHRq8oOwiaNmkrRtHGzFk1amR0NTRY71e9Z93Fiyp9CKAnZaWC415rb/RZf77jkWpfzgbuTMj+nIRwSEb2S7CB0KmqRwrmo1eps/NzNXHOupmXf1nDCrO5/rmiJw9U3+y291nXZ1Z43gk8mxZHPS4mIXkl2ENaao649V/PFYlPDxaYvlhpqLRCE6vSRE8fSUtKyuv+14H5+YddX3ei77FrP1dcG+4XeSIx9TH5+SET0P2UHYY1uVap1qehax9GxhqlUoxItenx58OjhJ2lPol+NpeS4tJsPTgHCFVf7brg+OjQyOD6WfLuNiOh/yA7CtJT0Wzdud+vSvV2b9nt27f3PL7/BA3N+Ivo/BT88F7hz2dVeKy732+s1LzYmNjYmLquNiIjoz2QH4ZP0Jzt37nRr59atW7dbt24lJydn9XplxTyKTYhN/v7u8uWX+668NPCHu5vFpJR8SENE9JeygzApKWnmzJlt2rQZMWJEZGRkbOy/+YlfXEx8dHTU9ltTV10etObSsBv3f0iKS8lqe2XFxsXFxceTKJTx79ZVIZYdhCEhIYMHD27btu3ChQsfP/73vyEBMwyO8Ft/zXPNJfcNl8cFht1JiIOp/u+0FqlvfEJC6tOn4WFhD4KCHpIodIG3NSoyMi0jIxPFf7LTKcSyg/DSpUudO3d2c3M7cOBAaupr/YwB7uf14CwgXHvJY8e1WeFRofGx//u3gRMSEyPDwyd37dqnevVBtWsPqlmTRGGL2rV7V6262NMzMTkZ+U7WG/9+yw7CLVu2wAa7d+/u7e2dmPi6H2wmxqWc9d+95uLwtRdGHby1IibzQ5r4rLY/U0xMTNLjxx5Nmszr1Sv+/v3Ue/dS/P1JFLLA2xrp6zuyXr2F7u5IebLe+/dbdhDOmDEDG0JPT0+kha+fuMdgZxebeNTn228veHx3YexJ7y1xsQmxf/3NUhB4+YcfBlSu/CIh4fczZ349ceLXkydJFLY4fvzF9eup/v49P/ss5MEDbBGz3v73WHYQDho0CBAuXrw4JeUff5Typ8r8kOZR1N6bC9ddGLv+/IQzd/bExyb+FYfJaWlHt2+f2Lr1i6CgZ5s2Pduxg0ShjJ+3bfvFz29o7dq+t27Fv3bCVQhkB2GnTp2wITx48OBrbghzCtSFR4XsvjZ//fmJG89POXtnX1xsPODMas4hQHh8584JLVu+8PHJWL4849tvSRTK+GnNmmc3bw6pVevu7dsEQsgOQmlDePv27aSkpKz2N6DohNikkIigXVfnA8JN56afur0jKjoqIS73JZ798sulo0cnfPnliytXnsyc+WTBgoIeTxcsyEBh/vxc9a8SODFj4UI8YpDXGScfRsa8ec8uXSIQ2mQHIXLRkSNHRkVFvfGf5Egc7ru2dNO5aVvOzT505bvAh3fBIVwRrTExMRkZGV6+vmOGDBnfvPmLCxdSJ01KmzGjoEfq1KkpU6bkqrSL6dOfzpiBQMFWmTp9+k9ff/1k6tSoSZNweuq0af97nAIVT6ZNe3r2LIHQptwQLlq06E1tCHMJeWlEVNjRWxs2n5257dz8neeWXPQ5FhrxMCE+KeNpxuzZs2VyOabxVcuWv69ZE1ehQnzt2gUlEmrXThQfc5af1au3qWzZWaVK/VyvHuptHaTAoRSRtWpF1KqVlKPpce3aobVr9ypefE3JklM++uhalSo7Pvts/l+MU/CiVq3E6tXTNmzIhNDLi0AI2UGIDeH+/fvf4IYwl+B7sTFxl+8e33F+0bYzC3ecWbL//Hc+wVdWrFqGCRQvUWKCh8eUli1/nTw5Wql8ZLXm/4i2WJKs1mSrNcJiibNaY6zWdAcHlFMcHJ47Oi4UBHee/8nBIc3BIcpiSRR74hT0QU/UZDg4jOX5pWp1qlgjjYnW5Wp1L4575uQUZLGgab5aPUocB004C1dEYBypfwELszlGr0+ZPz8TQm9vAiFkB6H0ldE3uiHMrZiYWGSh90P8jl/ftvPM0l1nV+4/951jEYtSqYqJi4sNDh7fuPEv06Y90utjihTJ/5Hk6urj5DRcoxkgCMet1oyiRefo9YM0GtQku7quNBo9tdr/K1Zso8nUXxD6CsJtJ6efixbFYXe1Gk3nHRwqsmx9nv/RwSHF1RUDJri6RhYp0lKpRP1Rq3W+wXDLyQnjjNdqfy9W7DtxnH6C4O3khEvnnEmBCReXWDzZRYsIhDbZQeju7h4RERH39r/HEJ/5A8M4v2Cv8z5HNh5ciqs3b5b51029LlzIhHDKlGid7pGLS/6Pn11dPTWaLmr1T66uj4sU+c5obKdSRbi49FSrZ+n1W02miVrtHScnYBbg5DRbr++sVoPDejx/39n5obNzSpEiIzWaJQZDuqurbcwnrq7LjUZgDHo7qVSnrNY1RuM0ne6Wo2MD8USU26tUz3KcUpDC2Rmen7JgwZCaNQmEkuwgnDNnzr/4zYl/p5hHMfFxiclJj339fGiarlKlCiZw5/Ll8Y0a/YJ0tIBAmFikiI+jI5DorVZHu7gAyNZK5RSdbohGs9NsXm80ztDpdphMNTluuk4n8bZAr5+s0/23aNE4keERGs1Kg+GpPYSrjEYPjeZFsWKA+bTVutponKvXbzQaa4nj4BQ8JhcpYjulIIUEIdJRAmG27CDcvn3729sQ/qliYmKePs1o3LgxJnDg8OFwP78JjRs//+qrggIhwANLIGqMVjtYEFYYDAMF4UXRorEuLjC3xQbDBK32jNXaDDs6V9ekIkVAznaTqblSCdJwIthz12jQDa22MdG0zGgcJkLYVaX60WpdYTRO1emOWyw48XnRoiA/0sUFeZ3tlIIUIoSP580bUqMGgVCSHYQXL158Z05oU0pKyrVr17RaLeZQoWzZqS1aZH4wU0AgRD65y2yGa2GrdtBiiS9SBJs9OB4Quu/ktMlkAjy/FC06WqPpq1ajEiABvHFaLfaHo7TaUGfnYxZLU+wJrdZfixZNL1IEgf7rTSbJLYEo9o3YQ87U6STbxIWGCcIJiwXZb67JFIyQIJw7l0Bokx2EwcHB8e/8u3zR0dFPnjwB/3Xr18c0JjZuDAijtNpoZ+f8H1hSkc7Otx0cHjg5JYuumOjicsvBIdjJKd7FJdzZOczJKQZ7PxcXZK3+jo5xWILOzqkuLnfEQ5ye5OKCzjgF+8m1RuO3BgMAQ58wcXCcjvEjxMNYcRxvR8cAjAMTfmkyBSOcnB7hDjJ7NoHQJjsI4+Li/uZPG749gUOkwRnPn+9Yt25cgwbPJ04sKBAigArQAiF/HCJXFMt4lAqInH1yHYLDe46Oqw0GBPaH8EaQjBOjxD4YUBoHh7muVSBDgnDWLAKhTXYQvqUf07+iUp48OX3o0Pgvvng+YUIBgvD1Q4JNykURYBI1ufoUnhAhTAaE1asTCCXZQfiOP5XJpeS0tBN7945v0ODn8ePfKwjfr5Ag/PprAqFNdhC+1R/T/0/9AeHYsZFabZSTE4lCGI6O0WZz0owZBEKb7CB8Bz+m/xtlQVi//s9jxhAIC21IEE6fPqRaNQKhJDsI8+RTGZuyIKxXj0BYmEOCcOpUAqFNdhBm1eWRJAjH1av30+jRBMJCG9kQDiYQZisfQZiWkXH+6FFA+MzTM0KjiXR0JFEIw8EhymRKnDx5SNWqd318CIRQfoHwyZMncUlJKxYsGFunzk/vHMIIR8c4JycECrma/lHg9GhHxxQnp1QnpxjxMFeHlwN9Yp2c4l/50uiGzrGvNnh+DAnCr74iENqU9xBGR0c/ffp0z549JT74ANOYWL/+81Gj3jGEj52c1uj1WwyGZCenXE3/KB45OgY7OKwzGFbo9SgAlVwdXo4kJ6ddRuM3Oh3mkKvpTwPdVur1+43GxNebap6FBOGkSYMJhNnKewjT09OPHz+OCdAKRZvmzac0bPiTh8frQwijgBfBkcAVHrFkw0UPybQpZ2eYHg5hQWnOzljWv7i4jBSEqRrNzy4u6IBz0R/1aMUg6IlD1KMGQ2FXg/GlQzzmvCiI2mAwTNdqp2m1bXk+c/+T3YQxE8RLSyPgXGm0J87Oc7Xa3irVU2dn6SoIabaYXs5DzATzeVGkiKcgLNHpcK7tugUpJAgnThxcpQqBUFIeQxgTE5Oamlq9enVM4MatW7EPHoyrXfvZ8OGvDyF4u2SxzNRqYTJD1OpTZnO6s/OPZvNoQRghCDetVjDg7+AwVqMZLgg+VisIXKzTgRnQGObo+L3JhLU+RhACHBxAzhmzeZhaPUOrxYCBDg4AG3Y0TBC+1etBSM7rAjbg8dzZuTbLXrFYQLtUj1PgtLO0WowPw9xqMLgLwkKd7pmzM647WK3+r4sLroJW1EuzvW6xjNdocHjabAaKQQ4OmI+E93qDATW2ixakkCCcMAHpqL+vL4EQymMIExMTAwICcPW6detiAt6XL4+rVSvD3T1CEHK/ef8wsOiRs1kp6pTJtM9orMWyoQ4OV8xmgDFdo+mqVMKCWvE8EL1kNj90cACEc7TaXirVQq0W6xvr/pbFAjZGiczU5bjvjcY9RmNxmkZnENhXpQIVTTlup9FoS2KlfRq4Qs/GHAekbU6Y4ezcT6WqxDA/mEygsZNSiXy1o1K50WBYp9ePUKvDHBzqsuxRkwmB2fpZrd4WyxmTCdbaiOPSnZy6q1QzNBovi6Uyw6zX6989hHh28HC4vVTO2fQPQoJw/PhBlSr53bnz/Ndf4+PjsSXJWhDvpfIeQn9/f1y9QYMGmRBeujSuZs2MYcPCBSHCweF1IsnRcae41n92dv7JyamdUnnSZAKQWO6AARCCvS95/pmTUxywcXICgYJcPlOj+V1MQeFUI9VqQILHA0Yj0sVfnZ1THB27KZWBVmsHpbKLUvmVRtOS51fpdODBdt1UR0fYY0OOu2Y2J2CxZtc/cXIaqFZ/o9W+cHEZpFLhxMkaDcZZptOBqHGCsEWvH6pW/8fZGRfqo1KhErx5qNWYAEbzsViAIiaGDpM0mpXYQ+YY/G1EuINDtPgyoiDVgJ8HVusugwH3C5RtPV8OnBLv6IgX1nbuH2G1RhqNqZMnty9evFjRohMmToyNjU1KSnqfOcxjCJGOpqSkVKpUSS6X3/X3jwsJyYRw6NBwjSb3m/cPA6tnj8HQhON+wV7L0bEBx501mZAi3rVYjplMoAs+g0NwApN56uQEJ2zD8248H2S1YsXDbbCGgNNgleqEydSC539zdo5ycKjHcXBCMAzDTHZ0xHJE2C6KmtU6XXelEhkpaMEitq1CQDhIrcZe7oWzMzJbJJZAGuciKwaZSJLhtO14HmchlYVFHzEam/P8YaMxwGrFs8Aj7DHYasXpnZVKXOUtQQi68NJh8FhHR7wUa0XLRf0jB4d0R8cHDg64F+AVwEuBlw7d8CjhihcZBaker8Nxo/G4yZSG3WyuS0gQTprUs3RptUqFhdewYUOYYd5+WytvlccQQunp6QcPHsQEVILQvWPHyfXrP3tDEGJZf0DTSOFAxXgseicnOM9kQQBCrXkeDgn/QXmaRnPDYkE9VjZu88gJwSdMEt4I9vqrVEC0Pc/DlCYJQgWGgROeNpm+4Lh5Wi1GAB5Yc7jxY/GBNNA+XK1epNXiuhgWpKEJgcsNQL1OB1uGSWIpY38IFO9brTBD8Ak3hgHiXFgfHnFrQDLsrlbDumuwLJY7smjcJhZoteUYZoNe/5YgBHt7DYYVOt09q3WJVvuRQrHDYMBT87da4fnbDAa8FCG4dzg6IrNYrtOBtMzdtdV6zGiEUYNb5NsYBzeOL5EOWCyZP03JeQkRwvjRoz1q1YqNju7esyfe+tmzZz979ixrQbx/ynsIoadPn27ZssXRyQnTmFinzs/u7m8EQhAF07hsNoNGYIAlgmxqt8Fww2xGpifdvHHD3ms0PhTdDwFmsIbAFUiDkd62WNATlgjMAB7gQRrpK3YDqFiRV7GfFNffUTFwiMvhRDQhGQaEWKlS03XxojhX8gpcYrvBAHOGw8Ccb4pXwQyxj4X7SWU8C+xmMSCmAT/BbOHhWPR3LBbsGDFOzuf7RgIGjoQc211Ajut+q9NhE3vIaMSrgfvRUp0Od4SqLIuUGw4Ju8ZTwK4YT/aC2Yw9MG4ceIlQj9cWrGIvgOf15xCOGjW0SpX/PH/+7KefeJ4vX748EqK8/dZkHipfQAiBw8iYmIUzZ46tXj1jyJDXhxDYYIlgQSC7w6JHlmXLmrAsEFKahCbUoBWLHoFK1KAb2JB6ggfc+OdrtRv1ergi9oEYGSeiMzhHH9A4VhCkWKfXYx2jHoFMDHTlbIJjYFjpuiigDwbH4aPs+WAaGNA2W2Bmm4P0pNCEuwlqbOO82cDk4bfgDZzDusFhe6USCTA8H/tV7GaDHByQI+D1gZNjU40m5OrI4QEhXmo8ZdzgkFQ/d3JCIgDTxiC55wkITaZ4T8+hVaumJCVh1Tk4OLi6uiIdfeN/972gKL9ACKU/e3bhxIlx1as/HTgwTBDCrdbXCaxg2M6PotXkavpHgUWDoWBlK3W6QwZDvIhKzg5ohTFKkYAt4qs15dvAVA8YDPVZdr1eD/duy/MgDbk68nkUkDwjyQRX6IC7zy9OTjBzQHjJZELP/zg53UaywHFIudEfdy7k2LnGD7dYImD1I0cOq1oVS87H1xdrr0mTJrgLEyfMewgzv8C9fz+c8I1AiBUfbbWCmTey9OOwC3JwwGi56gtZxDg4HEGSbDQOVKkmCEKo1Yrt6Amj8ZzJVJVhACd2xaUVihQHB2StnXj+tNGInBN7xVgHhzosu1mvxy4XGezPjo7YFcMb4ah4F+yuIkKY4OExvFq1TRs2uBYtirV3+PDh9PT0rHXw/in/QVit2pMBA14fQhL/IsAS9rdTBAG2j0PcdLbq9cgqkwCn0Qg/3KbXb9frcV9D01qdDj1xCJPHTeoHsQOS9h16PcALsVoBKnIHjJnzEhKEKWPHdihWTFp48+bNgw1mLYL3UvkPwqpVn/TvTyDMkwBdwAkZKWw/UjwEfsliNgHSUJ+IbaoIFbJ01KObdChhaeuAQ5yeiu3ry5mICGGSh0fXjz4aPmzYxcuX3+dEVFJ+hDC9b99QtTrMYiFRCMNsDoc9Dhs2pFKlyLCwJxkZWW//e6z8B2GVKgTCwhzZEA6uUOHunTvku6OQHYSJiYl59adHocfp6acPHx5buXJ6796hgpD7zSNROEKCcMgQAqFNdhB6e3s/fPgwNjY2OTk5VdTjx4+TkpLi4+NR+fbgjI6OTklJ+enXX/du2TKmUqUnhQVC7H+SxF1QrnpEqMUSb838H4Mo5Goq5CFBOHgwgdAmOwh79OiBF2fcuHFz585du3btvn37Tp8+ffv27cDAQOlfpgFO0AI48Qg+cQjzlL74J1H6L0AFgenp6Tdv3mzWooWCpsdVqfK0d+8QtTrUbC7QEWE2+5tMMwUhCMvupdZYi2WDVnvGYMjk8KXWwhwmU5heHzNo0KDy5QmEkuwgbNeuXZscwmHHjh27d+/ev3//ESNGTJo0CXCuXLlyy5YtBw8e/PHHH69cuQLzBKKhoaHSf7pPSEiAc4JPUCrhKhELoVIS0EUfCABDT58+9fLyMpvNmMOnpUp9VbPmk169CgGEAC/QZNqs1T4wm3H7lypDxPpki+W/VmtPnv9Wo0m1WuMslodmc6TZjAI6xMMkLRb0AZ8oPLZY0IQOaEWgPrFAcytCGDtw4GACYbbsINyxY8fy5cunTZs2cuRIgNetW7cOHTrYyGwtCoW2bdu6ubmBzy5duvTs2bNfv35Dhw719PQcP348zgWoixcvXrVq1fr167du3bp7924Qe+TIkZMnT8JXz58/f+nSpWvXrt24cQPswWYBcNOmTTGBbTt3hvr7j6tcOa1790IAIcCDB+7S6cCPDUIJp7mCsEyj6cjze3S6G0bjDp0uwWK5ZjSic7TZvFWn26TTTVGrbxqN67XaqWq1n8kE50Trbp1umlr9rVYbU3A5lCAcMIBAaJMdhJJrwc0iIyPhb0gRf/jhh717965bt27hwoVTp04dNWrUkCFD+vTpAz4BYfv27XMhapNUCVwlYtETPOOUTp06de7cuWvXrhgB2W+vXr1QxtWril9iunvjxpgKFdK6dSsEEII3b5OpFsPAD23pKKysj1LpqVLt0es/VihOGAxrNZoOPP+r1bpdp+vM82lWaxmFAqR9o9GUoOnlGs0YlaqvUvmrg0MDlm3H8yf1+oYsi/qC6odSOtq/P0lHbbKDUKrCvg6JJXZ6UmIppZQoSL8BHRIS4u/vDx87d+7c0aNH9+zZs2HDhhUrVixYsODrr79Gyjp69GjkrmAVXgpcYZXgDeABP0AIFAEksAS9EA6bNWuGq7dq1QoT8Lp8GRCmdu36UKUKMZkKdESYTN5GY1OWBYRhYk2kyXTNYKjPMLFmM6gbpFTu1emwM+zF8z9bLHu12r48n2g24xRfozHcZAJsj8zm6wZDC45LtVjactxBnQ557C6ttiPHJSG5tb9iwQijMVSni+nbd/DnnxMIJf0JhH8lCc64uLicGz8JUWnLhw0eWtEzIiICrAYFBfn5+SHnBLHYPV64cOHMmTOnTp06duzY999/f+DAgf3798NmIRcXF41GgxFjQ0JGly+f2rlzYYXwqsFQh2HizOZfLJauPL9Pp9sqQvjCat2h1XYTIWzJsrcNBn+j0Y3jgOJZvb4lx6WIEB7W6dBztUbTg+cfF2gI+/QhENr0DyD8nxI/HM0CFYJzAleQCWKTRQFUCV0bvdDvv/++Zs0aTKB0mTKzpk6dVLVqWpcuhQNCL6MRyN03maLEQwTwA2nwwG81muI0jT1hgNGIlBVJaWuOa89xyWZzA4a5aTD4iQCD3tN6fSOWTbNYWnEc+mzSauGloDGmIEP4qHfvQeXKEQglvUkI/53AbXp6OvJYaRoTKlVKRzqqVud+8wpaYPMD/A7odPA0QHVDjEAsQZNpmSBs1mqP6XSoiTebz+j1iwThe53uB70eoOIUdAs2mZB8ojNoRE2C2QznXCJ+ooNuSGgfvnTFghEShD17EghtynsIIZhnRkbG1Zs3hw8cOLpcudROnR6oVA+NxoIeWHApJhNgG8zzUmzXaOJMpgSTKdZkemQyhQM2ozFarMEhCg+MxhhxpSJQwCChYgH9YYyHtNqnZrPULeeFClIYDCFabXSPHgRCm/IFhJJ++vXXK6dPA8LHHToUDggRoAUUIR2VIkysydXnVSLCaNyi0VzX68FtrqYCFiKEUd27D/rsMwKhpHwEYeYXuA8ezISwfftCA+GbCqALMwSBf8pwqNEQadRGGnW2iDDqUJmrW74ICcJu3QiENuU/CD/77HG7dgTCV49Qo97H6HTa9OF5U4kLYpwzfXDZVAy4huRDDiUIu3YlENqU/yAsWza5bdtgpfKBwUDiVeKRXr3XXK500RmfuU4rX+SrikUmVSgyuUaRcassNcMN2ocGfa7+eR4PNZrITp0GlS17l/wZfFH5D8IyZZLbtCEQvnpEGQR4oEuxhbIP98lKbJGV2CQrvkFWbFMNl3G3jM6PDOowgw6Rf2h8qNUSCHPKDsKYPP0rA39A2Lo1gfDVAwlepF6Yb/2CLrFOVnw9U2wVX3S52nWFrsjSsdbWPgaHW3onxH09UsF8wWEmhB07EghtsoMwKSkpqzovBAhPHT48unTp5FatCISvHsEGQ7heA9gauYyAEyqKrVYWXa51XaItsrSk89fd9d2Galp7FPtyd7GyD/V6xAO9ITNeGuedBSCM6NBhUJkyBEJJdhCmpaVlVb9bRUdHJyQk/PbixekjR0Z98klSy5ZBPB+s1+efCNLrw/T6SIMBhVxNbzuATZR4XTyGiDPJ1UGKaJ1qs7mS2XUR5bJC5bxI5zTf7Djbap1VwTy6c4nufWt1nVKv6Q1npzBB81Cje4DQ5h7hncUDjSbCzY1AaJMdhCEhIfHx8Vkt70og8PHjx+Hh4aPHjv2gWLHRn376uFWrIKUy1zuXtwECz2u1ewQh/KWm1wxABbQe/QXeINBHpzuEVavXbxeEazodOufqI0WIXhuiVfcv2kdW6SRffp/m852Gctusn20pW3NDpwYeHs1bjevcalO9Cr6uZt+iJp8S5vtmQ15xCAjD27UbSCDMlh2E27Zte/LkSey7VXJycmho6Oeff445sArFxM8/fwwnzGcQRhgMhzWaxSoV7ChnPSABP5JTgU8ECjBMoIJTcIhWFKTOEmzRSMnEbqhHxBoMvjrdRkGIsx8ZHUB+ksHwo1bbmmHiDYa5KtVprRan4yw84tI5+4fohAcGfc96K2UDf5H3fkL1TuV6pjj1T6k0MLK72/Qxbo0n9WkxZ8AXO3uUPdT3w0PuJc81cwky5g2HmU7Ytu2g0qUJhJLsIBwwYEBgYGBcXFzUuxJsENj37t0bE/hq6tSbFy+OLVMmsXnz/AYhsIEjXdVqbUsfkISioNOtV6v3CUKMXn9So7mi1cbq9ac0mhtaLZzzola7Vq0+q9VGinz663TfqdUwNNCFOKfVntFq92s0M1Wqj2n6gEaDq2QNrtPhlJta7Qa1ep0gdGPZaL0eV78nzgEjbxOEOzpdTg6j1Yp1H7tpBj6VjXghG/ZCPuyFZeSL0uNetBz044gObuN7fjFtUIM5HnVXTqqyc8Ynexd+emBWqdufWx6qtMG6PwZ5N5HphG3aDCQQZssOwo8//rhp06Zjx471eFcaNWrUiBEjKIr65JNPMIEgX1/PUqUSmza9z/NYiPknHun1K1SqTiybIBKCAH6I/hy3QKnsw3Fo3SsIbVn2rlbblGECdLovGKYzyy5RqWoqFMcFAfx8yTBfK5V9OW4Qx6UaDB1ZtrpCMU2pnKJUlqPpzWr1A3FMDB6m013UaBoyzCKVqh3D4ET0b8WyP2g0C1WqT2ka1wXnIdnTCxP422bXeq1+yCRw8Av54BfGob+XHvV/9UfF9+89d0zvdpOHdZg1qvXC8c1WTGm45euKe+aX3Lfq41PDit2z6IMFrTTIO4tgZPWtWhEIbbKD0EVUo0aNOnbsmPUb8m9Z7dq1a9KkCa7u5uaGCXhfvToKEDZpkg8hXKVSdc0BIaxpq1pdgaZ3qNVjeb6GQvHEYBjH85UVit1q9WODob5CcUAQ/s9onKdUjuL5BSrVMI57bjDAM+sqFEDIjWWXqlS/GgzHNZq2Ima2y8Xr9cN5frJS+bvRmNnKso/1+nYs+yNsU6mEMWYgp83uHKzThgvc7PLu1LDfZUMzIVQPfVHS4/cq4563Gx04zOPQuHE7v/7qu2+mL/521uytc8fvXthwz+Li+7/96PDakte/cAhWaYO0WUO9m8iEsGXLgZ9+SiCUZAdh9erVK1WqVKtWrRkzZixdunTB29ciURqNxtnZ+ff/+7+IoCDPjz5KaNw4f0KI1W+DECwtV6nqMwxyUdB4TKMBeIBKI5d7iUkp7Avp6E8GwzKVajTPf6VUTlcqnxoMSXp9c4Y5p9H05rg9anWiXo8RsOvD9s92OVylF8etVKlw+mmNpj3LJuv1gBYQzlIqJ/G8bRqICIE741zOpWekbPQL2fAXMEPLmBefT37ReGJS79GXRk44NmnKvjlfb1w+Z/n6hQu3fdN/19JPd60qsWfth/t2ljw6p9jdEoZgIWuodxOAMOzLLwmENtlBuGvXrg4dOnTp0mXOnDlpaWnp6enSL+O+Vf3222+TJ0/GBNq0a7dn69Zxn36a0KhRIMfd12rzTzzS6ZBYtmGYBCwjLaxDG6rTXdZoaikU+wXhoCBc0Gh+EAR0WKtSAb8YnQ52N5TjgE09hWKfWv2jINRWKL4XhPlKJXwPXteKYZCCxul0ZzSaagrFSUEIFkdG4HJrVCoMflaj6cdxODFNr0eWiz5TeH4EINTpbHOLUCn2Fa9XscP1Km5Xqra92Kj9xW6dTvfvdbrrmDuDJpwePfnAtBlbF85ZtXLhN1uXTDqxvMHp1SXPfFfq3MaPLu8see3Ah749HYNU2vuaP57s244gtTq0RQtA6EcgFGUHYVJSEvBDiojkEAYFQt7BTyzi4uISExMBvzSN8aVLJzVpkt8gDNVqjwkCzDASN3KtVgqUjwgCSBvLcVc1mo0q1U44m043W6m8DvtimIk8P5Lj1otnIeB7yEjH87y3RhOt02EbeUYQQsTBQeZ0nkf5QfbgEcBeqRwu7jYBdpRWu1wcFjxvV6vDc8wtWCN4mZzPOJU97/DJBcdPLjt+fNtafHO1ngPGXnCffnbC9H2z52z6ZuGKNUvmn14xIHR1teh1FRM2l0vZ9umzg6WeHfowvL01UKV51xA2bz7wk08IhJLsIExISIiKiho9ejQghJCRAktURkdHZ3V/C5J+Up+SkrJp69bmjRp5liyZmP+cMFCrBSHwn2VK5SCOGyLGJUGA48UiNdXpHooshet06AkfAyTYE8LHknW6KNG1UA8O0VPqfE88RAH1aEUlsITLDRZHBtX+yGnFzjgdPdEfBcAZhqtkn2ULcBgq8CFihCsV3hbn8b029Z7jO3Luma8WHZyzbOuSVat3rJx8b1Wz+O+qpWyq9GzbZ7/t+fTFqVI/zXZ96KgLVNuN9rYjE8KmTQmENtlBCB7gfsHBwe7u7tKfM5w3b15MTAwq3yqHEK7yn//7v6tnznh++GF8gwb5DUIpkCj6aDS3sgNgoCZXHwQqQdcMnke+ikKu1r8Jr+yRb2s0uTB7xQjSaoIF9cGyTSf22Th98NpFQ+avHDFjnceEbWM9Li3tHr6+bsymqo+3V3i6u/Rvxz7578EPI2qZ7nGaXIO87ciEsEmTTAjv3iUQQnYQ4hiwPX78ODAwcPjw4ZIfjh8/PiAgAPvDt/317uS0tJOHD3t+8EFc/fr3OC4QCzH/RZBGE5wd919qzRkRmQaVu/LvwzY4Crma/lHcMTnADO+YHXwtDnctVj+dybdKiaCl9aO214vdViVld7mfD3/64kyp5NFOgToNctFcp7/tuK9ShTRqNPDjjwmEknJDCEkcPnz4cMKECTBDWGLfvn2PHTuGyrf6De8/IKxbN99CWCAiSFAHq5SIIATHB5p1AaOqRh5oHn+gbvrRqr+c+vzFlTK/7C7xsIz+HivkOvcdRCaEDRsSCG36EwghcCjxtnjxYphhB1Fz58719/dPS0vDFk7q9mYlQejxwQexBMI3GCq1f2kXv2FVH46vHD6uTMxXpZKmf5A+r1h0a0tmq/ql/m8/AOHDhg0HEAiz9ecQQuAwPj4e7nfo0KHevXtLqSkKGzZsgEm+DRSzICxRIrZOHQLhG4x7FsM9J2OgVX/fQZcZjtogR21mU14QiMiEsEGDAaVKEQgl/SWEkrAPBG/YE86aNQtmKH1aM3DgwE2bNmHfmCL+4e3Y2Nis3q+nLAiLF4+pVSuAZe8JAok3E2rhnlKdHSgLAXhEZa5u7yoClcoH9eoRCG36HxBKQmqanJz8448/jhkzRrJEoNinTx8kqxcvXoRnpor/rCJO/Bv4/1p/QFizJoGwEEcmhHXrDvjoIwKhpFeCEIIlwvdgekeOHAGKcEVwCHXq1MnDw2Pt2rWgMTw8HCgCSEALIF/901RgjJH/8+LFlbNnPYoWjalRI99CGCgID1+qRISK9VLTA0EIFoQA+w4kbJEJYZ06BEKbXhVCSUAFjOERrjhz5syePXuCQ+n/n4HGYcOGzZ8/f9++fTdu3AgNDcWmMfN/TaSmwkVRlrB8mUwQmJiYCHo3btnStGFDQBibX50QBN4VhGMqVU7AUAaBR1Qq1J9SqfwE4aJafV2tvp+jD4mckQlh7doEQpv+GYSSACFcEWj5+vpu3759woQJPXr0sNGIQteuXYcOHTp16tQ1a9YcPHjw0qVLfn5+wBInwiRt/w0GBUj6hirOkqYx7sMPY2vU8GeYALU6v8V90KVSDWNZX7U6MLsyUhC2K5UtFIp9SuVolvVTq/szzFyOi8JqU6sfqtVBOUaQAuOgMlgMqcbW018s52x9kGOEe2I321kFNO7xfHCtWgRCm/4NhDbBwcASLO7OnTt79+6dM2fOkCFDunTpAqKkfxIKYQPZuXPn3r17A8vx48fPmjVr2bJl69ev37lz56FDh44fP37r1i13d3dMwK1jxwM7d44pUeJR1ar5E0IEILkJJ8w+BDBAoo1CMZRlUfBSqR4JQh+GmcNxcbjrq9UHlEr0DxFPtJ1yW6XyVquPKZUXxSbU3FKp9mf39BI7nBJbIwThsFJ5TaUCexKoOLygUoUJgm3AAhf3lMrgGjUGlCxJIJT0WhBKQoYp0QhDg91duXJl9+7dixYtwtaxX79+cMX27dvDIQGk9DuEEpyoAZ/iDyAzv7rt4uLyfy9eRAQHj3BxeVSlij/L5nrn8kPAka6oVE1o+q6IBGoA3g21uhpNN1IokIu2VSh81OpBDLOQ4wBMb4aZynHtFIqTIkXSIHDIBRxXg6Yns2xtmoZ/ArzxLDuD41orFOBtj1JZkaancFxjmoaperLsFzR9VgRvBMuOY9kOCsVWnsehNGCBCwJhLr0BCHMKrggUAST2eIDz/v37165dO3r06JYtW5YsWTJ9+vSxY8di69i/f3/pH2V369atZcuWuDqAxAS8r18fCQgrV863EF5SqerkgBB2lAA2GGYexyUJQj2aho8BwjU8j5qmCgVcC8yAxthsZgDhVJZtr1D8R6OZyXEDGCZREDAsnBCnr+Q4QIjCz4IwjWWbKBS/azQDRWsFrlVpGg6JpBcdogs0hNWqDfjwQwKhpDcMYU5hBxgv/s9taRMILGGYqA8LCwOc2E9K/8H35MmTgiB89NFHmECwv/8IZ+foihX9GMZfpcpvcV+luiQS4qtS3cuufCRSN51lUYBlISMFM2s5zoNlOyoUsMS5LLsPu6Ds/pFqNegawzCpavUKjvNkGIzZjKaXc5ybQgEId/F8N4UiTa1ewLKjGCZDEIZjk8myyziuPk0v4bjZLLuB4zAZacACFwE8H1SlSiaEfn4EQugtQviy4I0gE24JOAGk9OPH//73vzBGTGDi5Mk3L10a5eoaVaFCvoXwolJZxR7CGLW6F8NMYlkUqtM0tnM9GQaorOP55jQN9k4rlTeUSlv/KLV6IssOYZh0tRqIIttcxXFwvFi1GtkpTtzO88hL0TqTZYH3M0GAW37FsmeUSnTwFucAbgs0hPcrVyYQ2vROIfxTgUZ4Y4UKFTAHhqbHFi/+KL86YaBKBZxGMgyIilCrw9TqcLUaBjgfyHEcDmFcPioVDrfwfLRaPYVlkYjCxy4rlWAPHRCA7TuOW8pxKOzkeVAHnAYzzDCGcWeY/Tx/XKmEr6J1M8ehNUGt/objVnNcvFoNM+yqUIDJYzz/AMnwSzMsEJEJYaVKAz74gEAoKe8hjBZ/aSMiImLcxImlSpYc6ez8KL86ISJApQJd3/M89oEeDINHgIQMM0il8lOpQsQ+cD/JpiLEcrjYBKsEvYgZLIvKByrVXbEbykAafaSe4ByHOVtRwCPGRwEd0ISrSJezzapgBSAMrFiRQGhT3kMIgcOEhIT/vnhx9uTJ4Y6OkeXK3VUo/JTK/Bn3lMprPH+Y46S4zPOoydUnZ/grlb5KJbxL6n+C53N1eN/Cn+MCy5fvTyDMVr6AUFJyWtqpo0dHAMLPPsvPECIClMqg7Ph7Am1xP7s/Crma3rfIhPDzz/uXKEEglJS/IDx55MgIB4eIsmX98jeEJF4nAOG9cuUAob+/P4EQypcQlimDPWGud45EoYlMCMuWBYRhYWE///LLy18nft+U/yC0WiNKlyYQFuIAhA8qVGin1davX/+7detSU1Pf/f8Cy1fKfxBaLBGffnqXQJgXcVcMbFwfivveu2/pMySOe1i+fEeDQVp4vXv3Bofvsx/mPwjN5vCPP/ZVKLACSLz78BM/xV3Psl48f++l1jcSfizr/8knw0qV8vLyqle/PtbemjVrnj59mrUO3j/lIwh//s9/rl64MNxsDitV6m4OCLEs/LPLhTvwNAPER+kpv/tnHcjzP3DcSIXiK4bpRNOoeRtzAIR+pUoNLFECSy4+IUGhUFSvXj0tLe29NcN8AWFsbGxGRsalq1eHDho03GSK+PjjnBD68PwtcV3aat5UYEwsu1yVbzx8RbTgKijkarIFmu6Lz/Q8x93m+Tti2fvtPOu/CVwO8zzAcStYtgxF/chxb+P1yXRCEUJkoVh1jo6Orq6ucXFxWAZZC+I9U95DiPtfenr6xIkTpWmMcnCIzAFhEM/v5bhBCkWw/RuJsHkFlo60WKWCFGiSKnN1tnXDIZb+BY6z1dtCarUdoiwNJZ2YqzXnodRTOrQV8HiT569mZ3e5TpcCa/0yx7Wh6W8YBkZ0hOOWMsx4hSJM3JhJw0o9pdNth282cLmpDNOBprezbAOaPvXWIPQrWVJywuhHj2iarl279jv469L5Vm8RQrymkPR17YSEBNs3th+Lkn61Avr9999XrVqFCXxWrtyC2bNHOziElyxpgxCrDZ5w46VlF8LzcAxQ9FD0SViNFNjJYI2C2OuityDQOVTEAMaCsyQ7AtvoDLyb0jTGsQ0uORLimniIepyCocAPKmFQOBHzwVVQj0NcSGIMh+iPMrrhQli76CbVhyqVIxQKROZP6sURMCCmjc7SRRHoNp1hOtM0MMg8S4RhiEIRqVSiCU9fGhnTwOnS3N5GRCmVuBFMYpjTHPcBRSE1fRsQ+sMJS5Yc+tFHV69erV6jBt76DRs2kD1hpv4dhMBM+pUlMAbAJLTwiDLAQ2tERMTDhw8DAgK8vb1v3rx5+fLls2fPnjx58ujRo4cOHTogysXFRafTJaemxkVFuev1oR984EvTvhyHuM9x+1l2KJxQPJTiAc8vY5ieCkVHmv6eZXew7ACajuf5fgrFcZYdo1D0oenBCkUrmobRgcCvFIruNO1G07CXOJ6Hw7Sj6X40DTCKyeVTATzHITDyPY47w3F9aRqxlmEicS7D9FcoutH0DY7bzbJtaRrjt6TpxQwTzfO4Opp60PQ8hgnneTg2OoxSKE6wLEZAPZwNw1ahKMQulvXhOExygELhoVAEZF/Un+O8cTugqPJin3E4nePmMMxwhQJPahbD9FYowCeSw+sch8lg5ssZBi+C9Gq8wcDTP82yGB+v2ESF4pI4t1x9Xj/8GCa4dOn2Op208IYOHfo+bwihfwChZGtAKydsOIyKigoODgZjFy5c+P7777du3QpnW7BgwbRp08aNGzdixIhBgwb17du3Z8+eXbt27dy5c6dOnTpk/wlTFJo1a4art27dGhPwuXkzE8ISJXwVCukNC+K4LQzTgqYfZr+FgRyHJY41fZJl5ykUNSkqjOexRgfT9EARxQYUJS1f5HWoBDlfUBRgvsiyVSkKyx2coD8YOMyyzSkKl5BgQIRz3ASFAiMAvxCOW8kwKN8COSK0OximtFyOdXlGnADqm4iYYSafyuVYstUoCghhtNsc9yPL4vRKcjmGAreIVJ7vSdPD4L0ilmi1PalQjpvLMINoOoXnW9P0Xjw1hhmrUBxjWTxBZKo4vZPIHg5Bu23CbzbuiC8vJvOA4/D0/V7q8EYCEN4vVaqdIDRr3nzbjh1IRLGushbZeyk7CCVbs/2+Xy5nQ314eLi/v/+VK1dsvywP0jw9PQcOHNijRw/QBbRy/iULSdIfswBytr9ngZ5dunTp1q0byASWuHqVKlUwAX8fH0AYUrx4Tgi3MQywsa1XLI7VDFOBonC3hpVh0WOVY9VikIscF8PzcLx9DIMCmOki3tQnKRSPeP4Rx2F972FZ+OR3YodDLNvMHkIABreBgwFOjAYMADA8AVYMAHAWLBcnhnEczHAby1akqNEKhSfMjaavsCy8F0BG8fwShoFLwxLrUhTWNAqYZyLP16YowAyi+oszsdk7+sD6cBNJ5nlsyWD+gHCyQgG/rSE+U3eFYoaINyYPz9zHsritSOcWuMCe8G7x4v1dXSMiI396/vx99kBJdhDaEsigoCAfH59Lly4dP358586da9asmTt37sSJE93d3fv06QN+bLDZJNkamnr16gXr8/DwmDRp0qxZs7755hucvnnz5j179kh/2en06dPwTOSl169fR4KKZLVp06aYwOZt20KDgkYYDCHFiuVywi9zQIjFd4BlsTQz/32a6Dl4RO4H3oAKFjq4wvJFATYIirYyTCOKwh4MkNQSnRA94UJA9wjL1qco5GA5jQUZIzCbolDgomsYBlzhEB1wFRxWF4c6Kk4AQ4ExAIOh4Iro0JCikKBGcBwSS9TDG0Ep7hqgDhTBCXGDQHqJlBjTtl0RAapnMgyexWOex64MjM1mGKALUHEXiMA+iuO8RKdCDjxfnAaGfUt++LZDgrCfq6sf+e6oKDsIp0yZMnbs2OHDhw8YMEDyKClplDCzeZr0B9QAm/QH1ObMmbN69WqweuLECZikr6/vgwcPkKPCOZOSknJ+BoMChBr4KoRWCDtypLIWiwVzKFWy5GiLJbRYsTs0fYdlEYEsu4dh4B7hLItlJ0Uoy06k6bYU1VtMETeLiVw0x7WnKCSKXWm6BUUNEXPOmyyLzMqDprFzgzWtVChiOW4oTW/EnoplfVkWfZC7og+8CCPDLWG8GBZmuE5MF2FZyCF70fRZlsWFyiHXFcdfC3cVbxBgHlfHxhKDoOdxhgFRsxQK8Ia7gBtFBbDs92Jai4teZtmWFIV6d5r2YVn0lJ5RlPhxKNwyjuPQiv4rRCfEkxoh3l8wgcMMg0ABgScSJL4+BTHuYp9ctGi/IkUIhJLsILRljxDYA4GADTQi24SzTZ06Fba2cePGw4cPX7x4EbBJf0oUOEmY4RFl5LHIZlEPU32VTCM6Ohq7glu3brVs3ZrHmtPpckIoBdbxLoaZqVBgcePxNMOAyasse41l77HsdbyvLOsv9sRhG4qC+90SAUYlSANvWP2oQQFLXwp0ls7CIKvEYTH4fIXiNsvCM9EZqxznBrMsNpM4xBUXKxTADMOiD+q9xUcMhQ7ShaRh8Yh6TA8FXALdMCucggvdF5/LeYbB4yWGwRWlZ7RVoUCN7XTpEWGb/A3xRBxeYlncWaTroltBjEwIXV0JhDbZQTh58uTZs2djp/fdd9/t2rXr2LFjgA15aXBwMJwNySpMLCds8LpXwex/ChxizOe//XZo795hgvDQxSUnhFh5WPcHGWYpNmYKxTKF4hzDYNFnZjXSmyr2kQoPWbYbRW3PNjrbILbOUjdbE8oYahPDYFgMDhpBC2psnRHSuVj3q8W9H2jM2YoyOtjKtnpU4iq2GhSki+IRTbgEcMIVpWe0l2EAqtRZ6pnz3JyTz1kuoJEJoYsLgdAmOwjhYFICKSaPf+JsWSe9HT1OTz9z6tQwjeaBs3MuJ8RdH2sUXEmBhfhXPoC1C2P0yl7xrxgwPWlkkPZXJ6IefMKR/tHIfxWYP1iyPSPcZQqus/3TAIR3nJ37ubgQCCXZQfi2Mft7JaelnTp2DE74wNHRh6J8GObfReZ7/FLlGwlfcfBclST+afgqFD6OjgRCm+wgzKrLI2VBqFY/cHDwoelc7xyJQhOZEFqt/ZydCYSS8iOEwQTCQh0EwlzKfxCqVMEWC4GwEAcg9Dab+xIIs5UfIQwym70pyhtvFYnCGHdo2ttk6ufkRCCUZAeh7RPRhISEd/BxaC6lP3t26dy5YUplkMlEIHw5fF6qKaCRCaHRmAlhQACBELKDcNOmTUeOHLly5UpAQEBERARQBJMSmY/Ff+fy9n5W8fTp04hHjxbNnz+E44ILEYReCkXmn28UC7ma/lFI49wRy9JjwQ1A6GUw9CUQZssOwrZt27Zv375Lly59+/YdMWLE1KlTly5dunXr1sOHD587d87Ly+v+/fuA0/Z9NPGniVmIogaUgluAig62b8xAWZf6a4HAjRs3WqxWTGO4Wv2gEKWjQQrFHJqeT9Mo5Gr6RxGoUIylqF00fe+1ec7zyIRQr+/r6EgglGQHYe/evTt37uzm5pbzy9nSl0U7derUvXv3/v37A85JkybNnj0bfK5bt27nzp3ff//9mTNnrl+/7uPj4+/vHxwcHBYWFhkZCfzAJMhEfgtKwaokCV2bfvvtt0OHDmECgkbTu0cPT43mvl7vJZd74a0q+IEFd1qMzJUnxm2xfB9Y0rQPTfvTdKB46Ce2ojJArPQGb2JnqRBM01/K5esp6gxN95XL0V8arSCGD0Xd1moJhDbZQejn53fp0iUgsX79+vnz548fP37IkCEgE97YoUOHnN/kzvkVUyDasWPHrl279uzZExY6YMCAYcOGeXp6jhs3bvLkyTNnzlywYMHixYuXL1++evXq7777Dknvtm3bdu3atU/UyZMnS5curUC6de9eYmzsEJYN1GoLDYTgZxVFraEoFKQawLaPokZRVFe5/HuaRvSUy3vL5T+InWdRVC+5/BuKOk/ToykKNF6k6fEUBQg7yuWbKGoERbnIZNMoCgCDT9uFClAAwluCQCC0yQ5CGBdcSzIrFJBShoSE3L179+rVq6dOndqzZw+sb+HChUhTx4wZ4+7uLv2yBfADhDl/3wKSQIWksu0RvioJnSGc1aJFC1y9cePGmMAdL68hDBOo0RQaCENoeqhIDgpSDUwMTDrJZGsp6hhNN5TL91PUbIpqI5fvpqjP5fLrInh7abq6XA5j/JGm68rlEoRbKGoHTX8hl1/LcYkCF1kQOjgQCCXZQZhVly3kk9jdgUzs92xpJBJL1KA1PDwcW8Q7d+5cu3YN6eiRI0d27969efPmtWvXLlu2DEb69ddff/XVV8DVw8Nj+PDhQ4cOHTRoEBLaPn36wF1Bb48ePfAII8XVGzRogAn4ensPUSjuCYIXReV82wpuPKRpT4oaQ1EoSDVIPpdTVHu5PJWmv6OoT2Sy0XJ5P7m8g1x+RUSxk1x+jqYPi3yC2LM03UKkUYIQzom8FIe2SxS4yIRQpQKE/gRCUX8H4V8JcMIkwWd89j/clbZ8EqWZ2z77X7PA/hDEwlQfPHgAbgMCAuCu3t7eXl5eN2/eRLly5cqYwLWbNxNiYgBhgEp1Wy6/jZ1DwY8HsEG53FMuR0GquUdRy+RyEBVFUYCqmlzuR1F3KOomRflSVARFLZLLq8jlJygKBhgC6igKlojT3cR09CBFNZXLw3JcosCFt1x+k+f7Wq0EQkn/BsJXFPCTcJWIlaCFYKQQEJUAfv78ObaFFEXJKaptq1Yjxf+SWZggHCWXj5XLQVeAGKEUtVIu74IMk6KAHzaEKA+Vy9fK5T9S1CC5fJhcPhgeSFGdxb0iOoDGhxQFh9yAFUxR9eTyr+RyFJAv5LpcgYhMCDmOQGjTW4TwFRUdHf306dP9+/d/WLIkpjGMZQPV6kIDIVA5T1EXKAr7vfViwP1weEZsQoDDXWLcEmOnWIYlwhvB2HaKApnnxPJpikK+epeizlLUHvHcXNcqKIGZ32DZPgTCbOU9hBA4fPLkSXxy8qoVK2AFARx3Sya7JZcXjgBOgGqOXI693xi5fJJcfl1kSWrF7QZlROZ9J0cZTQAPiGIHhRGkcVAjFWynF8TwkstvKBR9LBYCoaR8AaGktIyMi+fPIxPzY9nCBKEUAcgwxQgUYcvV+l4FILxO0wRCm/IRhMlpaT+cODFYJvNTKAofhCRsAQivyeV9zGYCoaT8BeGp48cBYQCBsFAHILwpk/U2GMjPCSXlIwgTkpK8vb07MgzeISRvd0gU0giiqKMyWbcPPoiKiYl9v//2tqR8BCGU8uTJ3JEju8lkW2WyAzLZEZo+qlCQKDRxhKL2y2TrZLI2Mtm2lStT3+N/ApNT+QtC3BcTHz/euGyZe8uWXUqVqiqT1ZbJ6pAoFFFTJquBLLR8eY/27Q/t2JGSlpb1rr/3yl8QPoqOjomNTcvISM3ISExNnT1oUHnxzSusUU1cl7kqC2XgaVaWyzcvWJCSkYH3FylP1jtOlO8gzKHH6en3795twPN4/+CHhS9qyWRNVKp6NI1CrqbCF1Vkss4lSyYmJ5NPYl5W/oUwISkJEDbRaqu/9I4WiJBu/xJgeJQcz9aKw4oy2T5Pz27FisEPpQ45aUTZ5iE4lMpSU85xCkpUksn6VKgQL/7ZlKw3mChb+RrCe3fuNNZoChyE2P8AsLo03cporCuXY2cLH2htMtWRyytntzZRq+vw/KFx43p9+GEFmQx90Bk04smiAwaBQ6IMq2ykVKJ/Q46TBgeTDRhG6lOAAhD2/vzzOPHPo2S9wUTZIhC++QAzwypUODl16rZRo/qXLl1Pozk4duyGUaN+mDGj10cflZbJpjdufGzKlA39+vmvW+fm4FBHqdw+dOh6D4+dw4fXVyphdMByQp06Z2bOXN2jx/m5c90rVRpZqdL6vn0/kcm6urru9fSsKpfntM38HwTCvxGB8A0HnOoLtfrW8uVdihaF71Wk6V3u7iu7dSspk3lWqQKumhmNt5cv/0KlqqVQeK1c2UKnW92t277Ro+s7OV355ptF7dqVk8k+l8kWtGlzY8mSMjJZF1fX64sXtzIYri5aVF4mW96ly9KOHdEn13XzeRAI/0YEwjccyDz7lCwJ2OB48DRgc37OHICEAtJIlMdWq4Ys9FOZDCDB09paLEcmTtw7duySLl2+7ddvUJky6FkWELZtu6xTJ3TD07+ycGFtuXyHu/vIihX3jRrV2mgscNkBgfBvRCB8wwEnbCQIPqtX9/zwwzoMU53ntw4evLF//zI0PeWLLw6PHw8n9P3226Y63ZdGY9jOnS202rW9eiE1/Vgma8zzGAGM1VGpZjVvDvbKM8zoatUuzZ8PLAeVLn1n9Wp0hk/mvGKBCALh3yh/Q+jj01gQCuJdf2j58ienTdvh6dmnVKmaHLd75Mit48bt8fBobbF8JpPNbNbs2PTpq7p1w14RyNVVKvePHr1t7FiwWpNlF7m5uVeoMKF27VsrVqzv3//ElCndSpTAmEhug7dsGVGxInaMua6Y/4NA+DfK1xAG+vo2UqsLHITS55/IRb9gWTxi/jhsxPPIVKuKraBI+vEgaurI5eiANYoOKKA/AqB+4+b2bY8eFRUKVKIbws3R8cysWdhJFqyPZKTAE+xZtiyB8E+VfyGMFf+CcCfxE/xc72iBCOkHfbZDlHPCIx2+XIMCHrEtnN6o0ZIOHbBvxCHQ7Vy8+A9ffw2HLIivBu47ZWSy0S1aZH5ZNE//B2b+VP6FEEp58uTI5s1VKQo7ImyE3qsAbPBPqQwUpR8hlhL5tPUpKAECGxuNty5eTE5JyXpriXIoX0MIgcMrJ0/Oc3ef1r379PcppnXrNrVbN7vDrl1thwUopvXosWTMmLs3bz5OT4+Ojs56X4lyKL9DCCWnpj756ae0Z89IFMRIf/YMb19icjIh8K9UACAkIircIhASEeWxCIRERHksAiERUR6LQEhElMciEBIR5bEIhEREeSwCIRFRHotASESUxyIQEhHlsQiERER5LAIhEVEei0BIRJTHIhASEeWxCIRERHksAiERUR6LQEhElMciEBIR5bEIhEREeSwCIRFRHotASESUxyIQEhHlsQiERER5LAIhEVEei0BIRJTHIhASEeWxCIRERHksAiERUR6LQEhElMciEBIR5bEIhEREeSwCIRFRHotASESUxyIQEhHlsQiERER5LAIhEVEei0BIRJTHIhASEeWxCIRERHksAiERUR7LDkIiIqI8URaEREREeSaZ7P8BI9j4qEH6z6EAAAAASUVORK5CYII= - - - - - \ No newline at end of file +version https://git-lfs.github.com/spec/v1 +oid sha256:2772602e9fcaac23d85ec49b41add1729424ab86a2d4e0626f2acd206ff50bd3 +size 1619958 diff --git a/src/gh/examples/normal_estimation.ghx b/src/gh/examples/normal_estimation.ghx index 5424448c..b745b0e3 100644 --- a/src/gh/examples/normal_estimation.ghx +++ b/src/gh/examples/normal_estimation.ghx @@ -1,790 +1,3 @@ - - - - - - - - 0 - 2 - 2 - - - - - - - 1 - 0 - 8 - - - - - - d5e887b6-b770-4141-aafc-5d8da5356208 - Shaded - 1 - - 100;102;0;255 - - - 100;0;150;0 - - - - - - 638537389965512241 - - false - normal_estimation.ghx - - - - - 0 - - - - - - 179 - 45 - - 1.2750001 - - - - - 0 - - - - - - - 0 - - - - - not_found - F:\diffCheck\temp\test.py - not_found - F:\diffCheck\src\gh\components\DF_normal_segmentator\code.py - not_found - F:\diffCheck\src\gh\components\DF_cloud_normal_estimator\code.py - not_found - F:\diffCheck\src\gh\components\DF_normal_segmentator\code.py - F:\diffCheck\src\gh\components\DF_cloud_normal_estimator\code.py - not_found - not_found - F:\diffCheck\src\gh\components\DF_cloud_normal_estimator\code.py - not_found - F:\diffCheck\temp\test.py - not_found - - - - - IBOIS, EPFL - andrea.settimi@epfl.ch - Andrea Settimi - - - - - 2 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.8.24170.13001 - - - - - RhinoCodePluginGH, Version=8.8.24170.13001, Culture=neutral, PublicKeyToken=552281e97c755530 - 8.8.24170.13001 - - 066d0a87-236f-4eae-a0f4-9e42f5327962 - RhinoCodePluginGH - - - - - - - - 4 - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFCloudNormalEstimator - - - - - Evaluate the normals of a point cloud. - true - 2 - - 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 - - 3b02c38b-dde9-4637-a19f-60f12a996fad - true - false - true - DFCloudNormalEstimator - DFCNormEstim - 3 - - false - false - false - false - - - - - - 145 - 57 - 126 - 84 - - - 206 - 99 - - - - - - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The point cloud to evaluate. - db609572-19db-493f-bf66-1dfe1075320e - i_cloud - i_cloud - true - 0 - 1 - true - 2ebab33f-a47a-463d-a5e7-48b99a2c6370 - 1 - The point cloud to evaluate. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 147 - 59 - 44 - 20 - - - 170.5 - 69 - - - - - - - - true - The knn search value (by default 100). - 47eff061-a4af-4168-b3c1-914b3fba72c0 - i_knn - i_knn - true - 0 - 1 - true - 0 - The knn search value (by default 100). - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 147 - 79 - 44 - 20 - - - 170.5 - 89 - - - - - - - - true - The radius search. If value is provided the search will be hybrid. - 1d1b852c-1088-4cf0-86f7-9c9a6b285890 - i_radius - i_radius - true - 0 - 1 - true - 0 - The radius search. If value is provided the search will be hybrid. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 147 - 99 - 44 - 20 - - - 170.5 - 109 - - - - - - - - true - Switch between Open3d (true) or Cilantro (false) library. Default is Open3d. - 424f8ebc-232e-41fa-a00f-e0e6b055a928 - i_bool - i_bool - true - 0 - 1 - true - 0 - Switch between Open3d (true) or Cilantro (false) library. Default is Open3d. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 147 - 119 - 44 - 20 - - - 170.5 - 129 - - - - - - - - false - The cloud with normals computed. - 6d0f144a-3df5-46ad-bb49-206c88ce9dc6 - o_cloud - o_cloud - false - 0 - 1 - true - 0 - The cloud with normals computed. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 221 - 59 - 48 - 80 - - - 245 - 99 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFNormalSegmentator - - - - - Cluster a point cloud based on normals. - true - 2 - - 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 - - 358a76ba-fe34-4290-8929-fe2a7f785dd7 - true - false - true - DFNormalSegmentator - DFCNorSeg - 3 - - false - false - false - false - - - - - - 312 - 87 - 232 - 124 - - - 469 - 149 - - - - - - 6 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - The point cloud to reduce the size. - b60b87f2-928f-4827-ab8e-95a36b0f4976 - i_cloud - i_cloud - true - 0 - 1 - true - 6d0f144a-3df5-46ad-bb49-206c88ce9dc6 - 1 - The point cloud to reduce the size. - d73c9fb0-365d-458f-9fb5-f4141399311f - - - - - - 314 - 89 - 140 - 20 - - - 385.5 - 99 - - - - - - - - true - The normal threshold in degrees (under that it consider to the same cluster). - 39f29f39-49d8-4370-8a6e-83ad46da989e - i_normal_threshold_degree - i_normal_threshold_degree - true - 0 - 1 - true - 0 - The normal threshold in degrees (under that it consider to the same cluster). - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 314 - 109 - 140 - 20 - - - 385.5 - 119 - - - - - - - - true - The smallest cluster allowed. - 5f5ce061-8713-4244-9efd-02b616c3c272 - i_min_cluster_size - i_min_cluster_size - true - 0 - 1 - true - 0 - The smallest cluster allowed. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 314 - 129 - 140 - 20 - - - 385.5 - 139 - - - - - - - - true - If true use knn, otherwise radius search. - 479c3899-cdd2-4cf0-97de-afdcc79c0f96 - i_use_knn_neighborhood - i_use_knn_neighborhood - true - 0 - 1 - true - 0 - If true use knn, otherwise radius search. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 314 - 149 - 140 - 20 - - - 385.5 - 159 - - - - - - - - true - The knn size. - 11f62761-5c39-4ea1-8ece-d0d8f19f0a54 - i_knn_neighborhood_size - i_knn_neighborhood_size - true - 0 - 1 - true - 0 - The knn size. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 314 - 169 - 140 - 20 - - - 385.5 - 179 - - - - - - - - true - The size of the radius. - 6cd0038f-b2a9-4f81-b137-c6bfa172db6c - i_radius_neighborhood_size - i_radius_neighborhood_size - true - 0 - 1 - true - 0 - The size of the radius. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 314 - 189 - 140 - 20 - - - 385.5 - 199 - - - - - - - - false - The segmented clouds. - dc7440d0-d17d-45d5-80db-34cf22eb2113 - o_clusters - o_clusters - false - 0 - 1 - true - 0 - The segmented clouds. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 484 - 89 - 58 - 120 - - - 513 - 149 - - - - - - - - - - true - false - true - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - 2ebab33f-a47a-463d-a5e7-48b99a2c6370 - Point Cloud - PCloud - false - 0 - - - - - - 47 - 58 - 50 - 24 - - - 72.454056 - 70.216644 - - - - - - 1 - - - - - 1 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 6676bfbc-8d0e-406b-a16e-38e6c0a66e57 - Panel - - false - 0 - dc7440d0-d17d-45d5-80db-34cf22eb2113 - 1 - Double click to edit panel content… - - - - - - 577 - 99 - 160 - 100 - - 0 - 0 - 0 - - 577.3333 - 99.966675 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - - - - - - 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 - - - - - \ No newline at end of file +version https://git-lfs.github.com/spec/v1 +oid sha256:5d708b66d1f15749e9358692e0487abdb710ad358c47ea1de8b33bc81b418a14 +size 145244 diff --git a/src/gh/examples/tester.ghx b/src/gh/examples/tester.ghx index 1bc2cd63..ec9c9037 100644 --- a/src/gh/examples/tester.ghx +++ b/src/gh/examples/tester.ghx @@ -1,2717 +1,3 @@ - - - - - - - - 0 - 2 - 2 - - - - - - - 1 - 0 - 8 - - - - - - 103ba181-3a3b-4b4e-b795-e493222bd4e6 - Shaded - 1 - - 100;102;0;255 - - - 100;0;150;0 - - - - - - 638480369678877464 - - false - tester.ghx - - - - - 0 - - - - - - 374 - 117 - - 0.15415467 - - - - - 0 - - - - - - - 0 - - - - - F:\diffCheck\src\gh\components\DF_load_mesh_from_file\code.py - F:\diffCheck\src\gh\diffCheck\diffCheck_app.py - F:\diffCheck\src\gh\diffCheck\diffCheck_app.py - not_found - F:\diffCheck\src\gh\components\DF_global_registration\code.py - not_found - F:\diffCheck\src\gh\diffCheck\diffCheck_app.py - F:\diffCheck\src\gh\components\DF_bind_tester\code.py - not_found - F:\diffCheck\src\gh\components\DF_load_mesh_from_file\code.py - F:\diffCheck\src\gh\diffCheck\diffCheck_app.py - F:\diffCheck\src\gh\diffCheck\diffCheck\diffCheck_app.py - F:\diffCheck\src\gh\diffCheck\diffCheck\test.py - - - - - 2 - - - - - Robert McNeel & Associates - 00000000-0000-0000-0000-000000000000 - Grasshopper - 8.7.24138.15431 - - - - - RhinoCodePluginGH, Version=8.7.24138.15431, Culture=neutral, PublicKeyToken=552281e97c755530 - 8.7.24138.15431 - - 066d0a87-236f-4eae-a0f4-9e42f5327962 - RhinoCodePluginGH - - - - - - - - 27 - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFXMLExporter - - - - - - true - true - 2 - - iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAABhmlDQ1BJQ0MgcHJvZmlsZQAAKM+VkT1Iw1AUhU9TiyJVBzuIdMhQdbEgKuIoUSyChdJWaNXB5KV/0KQhSXFxFFwLDv4sVh1cnHV1cBUEwR8QZwcnRRcp8b6k0CJU8MLjfZz3zuG++wChXmaa1TUBaLptJmOSmMmuit2vCMCHfowhLDPLiKcW0+hYX/d0l+ouyrPwv+pTcxYDfCLxHDNMm3iDeGbTNjjvE4dYUVaJz4nHTWqQ+JHrisdvnAsuCzwzZKaT88QhYrHQxkobs6KpEU8TR1RNp3wh47HKeYuzVq6yZp/8hcGcvpLiOq0wYlhCHAmIUFBFCWXYiNKuk2IhSedSB/+w60+QSyFXCYwcC6hAg+z6wf/g92yt/NSklxSUgMCL43yMAN27QKPmON/HjtM4AfzPwJXe8lfqwOwn6bWWFjkCBraBi+uWpuwBlzvA0JMhm7Ir+WkJ+TzwfkbflAUGb4HeNW9uzXOcPgBpmtXyDXBwCIwWKHu9w7t72uf25x13fpB+AG17cqX4LE6tAAAACXBIWXMAAC4iAAAuIgGq4t2SAAAAB3RJTUUH6AUBDikHliP8GAAABIFJREFUWEftlstuK0UQhvNIiHPi28x4ZnyLFR2JDSxZwGuwOA/ABh6ExZEfgng8YzuJEydEghUrWGdb/F9Nt0FIQ7InJZX6Xn/durrP3uiN/k2jyWw5LCerZLZ4TmcL09gGk6m36WxmQ/UHxcTS+cKS2dT6eWmj6aRl7YGTKTyn/zyclCv1l0H8f1M6ny3FT8NyanC/kHAJjOPRzIWeeFAWNirEAmRtUKLExPq0UggFw96nbH7xshKyZsWB4biwbDKXgLn11E/K0sbThWVzzZUCxgPyTiZ2Sx2sbf385G/F2UerfasA003a/DwqdAiQrHCgaD1zI4H1krELDZZZolAA2JO3+tPypFA8S38or2jvc4DpJkBSCT0BSzD91hpZKVczNwzWwdEbtIAzd54X3vpY4KzTDzDdlMrF0XU/ffrkgBcfPli9bWy73/l8s93apt5aswuscVPXtmW+oW08aa/qxvNiv9/bu3T0OgXcfcEDtADc3B0801kbqAWE5EKJqqps12ytbhr3TLWuNb8Rr63eqNXezWZtX3z1pfLn4mUFIri7lqunNiPGjFEKlyrWjNlLgsZ+tmiV93ndDMLUL3LlBXkgljcCTDe1IG0s234r3AFkAQnqY8WYVlfW9zq4FEm035XV9eR8DClXE68FmG7icHTv4fHRhW2aytb1lVVyba24Eo6N3LuV6zebWu7fWSP+Wf1m14aCIrXb7VwOCiIHDjDdFK8PYA6uhCIPqAkArD3eO9/DfK3kI860lfZGoJ5cj5LDcZsz33386IoEmG46uZ8KJ0/Q97EAqW5cU5+T6z3GITn7KlRctV6eW6owJHJ5WxtyDwF92gDTTV5gghciOMzhOEdy9vKxt8x5slIF/7EHL8RzvB3RMwGmm0ayaLxY+mb6zXZv+9uDj+lfVbWDVMS+rhRjhUhXsNooR6orB8UrHn9qwl55ojrw/Y8/vM4DJKCDa/O7bOzX7utvvnUQ4swaCpL9FCeYNV8nGSlM6u+3Ow8JN4cEJaSMA0w3ednUVRvr2UUZrOGuj2Q1VxCB53I/ivi8wkU4vI/SSWKfjRL30vtx5nnj4O1b8LIC3OdBeIJhgGAE0nphCXc8xnqoBIx7nMkN7SH2GBBlwAGmmwAtlpcOjrW3KsPXx6OdZ7n9/sefdjjc2/H4aPdihD/++pvdqX98+MVubg6e9Q+PR7u+vrH7h6Pvvb27s9llKzPAdBMWTC4uPYFSZTZWlioqtR4i4ot1FBeEkZS0xNYfKz1Gkf3Bog6E64f1hCvAdBMlkwQj0VoXt66nH+OY8FFRy+8H8CgcsLjXWYrH0EVFA0w36YD/Az9PEz+UxcKjBIz1HYH+OUEZ1rASb4VxVMp/UvHtYG02fflDooN8IF0IoYiHeVQAb8dt8vl8AEs1xzjO831DKdY5hyLIDjDdpMRaiv1TykEsJdncUvEJOLiXPuu0UYHTPOHThyaMn6TU637G78f5Uu7mc8qX2nOCGKdSAGF+r1XvHcCtDyU6AMfE870KqfqrYV68DvyN/od0dvYXxVSOhUu9bvYAAAAASUVORK5CYII= - - 85c5ed45-68b8-43ff-bc15-bc2306baaf22 - true - false - true - DFXMLExporter - XMLout - 2 - - false - false - false - false - - - - - - 355 - 61 - 171 - 84 - - - 462 - 103 - - - - - - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 3 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Press button to export xml - - 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 - - f06f6f24-b560-497e-bfde-3c927ee399ec - i_dump - i_dump - true - 0 - 1 - true - 1fd2447a-997e-4936-8e90-7e68cdb1c799 - 1 - Press button to export xml - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 357 - 63 - 90 - 20 - - - 403.5 - 73 - - - - - - - - true - The name of the assembly to export. - - 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 - - 37bc0232-b666-45b8-80a7-82eaceb1c0b9 - i_assembly_name - i_assembly_name - true - 0 - 1 - true - 5ee50963-64dc-4523-8ecb-598d7dd9023d - 1 - The name of the assembly to export. - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 357 - 83 - 90 - 20 - - - 403.5 - 93 - - - - - - - - true - The directors where to export the xml file. - - 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 - - 3076c8cf-6dca-4a13-8fe1-db9a66f024e6 - i_export_dir - i_export_dir - true - 0 - 1 - true - 03ebc555-f14b-42f6-b33c-c786053dfbc6 - 1 - The directors where to export the xml file. - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 357 - 103 - 90 - 20 - - - 403.5 - 113 - - - - - - - - 1 - true - The breps of the structure. - - 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 - - f94180c2-8d50-4075-bcda-8eceb82c8d95 - i_breps - i_breps - true - 1 - 1 - true - 65ef74cb-3fba-43d2-b246-64802bad70f8 - 1 - The breps of the structure. - 2ceb0405-fdfe-403d-a4d6-8786da45fb9d - - - - - - 357 - 123 - 90 - 20 - - - 403.5 - 133 - - - - - - - - false - The string of xml to be exported. - - 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 - - 9eee8f9b-3e56-477e-98ae-562405debe26 - o_xml - o_xml - false - 0 - 1 - true - 0 - The string of xml to be exported. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 477 - 63 - 47 - 26 - - - 500.5 - 76.333336 - - - - - - - - false - The breps of the faces belonging to joints. - - 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 - - bff72e97-48ca-481f-a8a4-130d7e226107 - o_joints - o_joints - false - 0 - 1 - true - 0 - The breps of the faces belonging to joints. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 477 - 89 - 47 - 27 - - - 500.5 - 103 - - - - - - - - false - The breps of the faces belonging to sides. - - 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 - - aeabc9bc-e22a-4522-b452-3a6fdb1bd796 - o_sides - o_sides - false - 0 - 1 - true - 0 - The breps of the faces belonging to sides. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 477 - 116 - 47 - 27 - - - 500.5 - 129.66666 - - - - - - - - - - false - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 1fd2447a-997e-4936-8e90-7e68cdb1c799 - Button - - false - 0 - - - - - - 262 - 53 - 66 - 22 - - - - - - - - - - 919e146f-30ae-4aae-be34-4d72f555e7da - Brep - - - - - Contains a collection of Breps (Boundary REPresentations) - true - 65ef74cb-3fba-43d2-b246-64802bad70f8 - Brep - Brep - false - 0 - - - - - - 276 - 130 - 50 - 24 - - - 301.57718 - 142.5564 - - - - - - 1 - - - - - 1 - {0} - - - - - - 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 - - 00000000-0000-0000-0000-000000000000 - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 5ee50963-64dc-4523-8ecb-598d7dd9023d - Panel - - false - 0 - 0 - AssemblyTest - - - - - - 228 - 82 - 102 - 20 - - 0 - 0 - 0 - - 228.71396 - 82.47798 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - 06953bda-1d37-4d58-9b38-4b3c74e54c8f - File Path - - - - - Contains a collection of file paths - false - All files|*.* - 03ebc555-f14b-42f6-b33c-c786053dfbc6 - File Path - Path - false - 0 - - - - - - 274 - 104 - 50 - 24 - - - 299.0416 - 116.82797 - - - - - - 1 - - - - - 1 - {0} - - - - - false - C:\Users\andre\Downloads\ - - - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFBindTester - - - - - - true - true - 2 - - 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 - - 5ef28566-abf8-4957-be80-3ba52402ff95 - true - false - true - DFBindTester - BindT - 2 - - false - false - false - false - - - - - - 55 - 61 - 109 - 28 - - - 69 - 75 - - - - - - 0 - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - false - True if the import of the diffCheck bindings is successfull. - - 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 - - 9f28e203-bb98-4afc-8c49-8c3e23217e55 - o_is_imported - o_is_imported - false - 0 - 1 - true - 0 - True if the import of the diffCheck bindings is successfull. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 84 - 63 - 78 - 24 - - - 123 - 75 - - - - - - - - - - false - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - f70afb73-658f-4d2b-9d6f-91c0101a1850 - Number Slider - - false - 0 - - - - - - 1227 - 89 - 170 - 20 - - - 1227.4471 - 89.10762 - - - - - - 3 - 1 - 0 - 100 - 0 - 0 - 65.433 - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 291714b4-253d-4664-a375-468129848737 - Number Slider - - false - 0 - - - - - - 598 - 102 - 167 - 20 - - - 598.40173 - 102.78538 - - - - - - 3 - 1 - 0 - 100 - 0 - 0 - 44.755 - - - - - - - - - 06953bda-1d37-4d58-9b38-4b3c74e54c8f - File Path - - - - - Contains a collection of file paths - false - All files|*.* - f39719ea-98ce-4900-a3d2-c5e8671a5f6b - File Path - Path - false - 0 - - - - - - 707 - 71 - 50 - 24 - - - 732.0031 - 83.05021 - - - - - - 1 - - - - - 1 - {0} - - - - - false - C:\Users\andre\Downloads\00_pt (1).ply - - - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 125eaadd-c1c1-4386-a589-532ce23f4a89 - Panel - - false - 0 - 10ea8006-8252-4544-a4a5-07bd1ed4c124 - 1 - Double click to edit panel content… - - - - - - 1016 - 72 - 155 - 42 - - 0 - 0 - 0 - - 1016.4037 - 72.841606 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFLoadCloudFromFile - - - - - - true - true - 2 - - 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 - - 64f06542-1f50-40fd-aac0-add77c659c1f - true - false - true - DFLoadCloudFromFile - CloudFFile - 2 - - false - false - false - false - - - - - - 788 - 71 - 138 - 44 - - - 846 - 93 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Path of the file (e.g. .ply) to import - - 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 - - cd419a72-32ca-4b8a-90d1-5c0c6b6c4376 - i_path - i_path - true - 0 - 1 - true - f39719ea-98ce-4900-a3d2-c5e8671a5f6b - 1 - Path of the file (e.g. .ply) to import - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 790 - 73 - 41 - 20 - - - 812 - 83 - - - - - - - - true - Scaling factor to adapt the unit of the imported file to the rhino document. - - 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 - - a38318bd-39e8-4f76-8d56-85bd1ae06f5e - i_scalef - i_scalef - true - 0 - 1 - true - 291714b4-253d-4664-a375-468129848737 - 1 - Scaling factor to adapt the unit of the imported file to the rhino document. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 790 - 93 - 41 - 20 - - - 812 - 103 - - - - - - - - false - The imported cloud in rhino format. - - 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 - - 9eda4b6f-8330-456d-8353-a69acbc8b549 - o_rh_cloud - o_rh_cloud - false - 0 - 1 - true - 0 - The imported cloud in rhino format. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 861 - 73 - 63 - 40 - - - 892.5 - 93 - - - - - - - - - - false - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 850b6368-ff26-48ce-9773-ac554ffbaeef - Point Cloud - - - - - Contains a collection of point clouds - true - 10ea8006-8252-4544-a4a5-07bd1ed4c124 - Point Cloud - PCloud - false - 9eda4b6f-8330-456d-8353-a69acbc8b549 - 1 - - - - - - 944 - 81 - 50 - 24 - - - 969.1974 - 93.47512 - - - - - - - - - - 1e936df3-0eea-4246-8549-514cb8862b7a - Mesh - - - - - Contains a collection of polygon meshes - true - 2fae0066-4e58-4b19-842d-dacda172902a - Mesh - Mesh - false - 0 - - - - - - 1347 - 59 - 50 - 24 - - - 1372.4526 - 71.31056 - - - - - - 1 - - - - - 1 - {0} - - - - - 2e3af591-6a11-4ff4-a443-ed19f90b2742 - - - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFMeshToCloud - - - - - - true - 2 - - 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 - - 49020009-201e-47a1-a670-76c7cbf7b005 - true - false - true - DFMeshToCloud - Geo2Pcd - 2 - - false - false - false - false - - - - - - 1414 - 65 - 141 - 44 - - - 1475 - 87 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Mesh to sample into a point cloud. - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAWJQAAFiUBSVIk8AAABFhJREFUSEvVVUdInWkUtRBRlNi7sfceTbEbK4i9V+wgukh0F4yMCjIqGFBxpRJ1pYgSFBQUdWEsCNEQ3OhKUJBZqMhgmcwYznzn6siQTBJnNcyFj8f/v/fOveece++n8V+Fk6am5oX6xL84OercLXR1dbcGBgawurqK5eVlLC0tYWFhATMzMxgeHkZnZydqamqQlZWFiIgIuLm5QRV0qP6qc43wndDW1k5PTk7+Y2hoCE+fPhUAAkVFRaG8vBwBAQEICQlBeno6/P39ERoaCm9vbxgYGJxpaWm9uoH5ZugYGhoej46OoqSkBDExMaioqEBSUpIka21tRUJCAl6+fInIyEi4u7sjOzsbPj4+CAwMhEpwrjBsr6H+Ie7du/ezArxqaWlBQUEB6urqkJGRIWBhYWEYGxvDyMgI0tLSBNTDwwP19fXIyckRFqq4T0qqtzdwX4WTlZXVb319fSgsLBTwtrY2DA4OYmpqSnxYWVnB2toa3r17h7m5OYyPj6OnpwcNDQ3ChHIpicki8Bryb6G+WOaPKE1xcTEaGxsRGxsrh9oTeGdnB8HBwSJHbm4uZmdnMTExAUdHR9jZ2cHV1RUODg6fFYutG9jbSDYzM7vMy8uDMhiJiYlob29HdHQ0ysrKsLGxgerqahweHkoCFvHx40epenFxURIEBQUhNTVVOkpPT+9MYRZdQytjVfW/sDPYMeHh4WIoqVMqtinB+e709FRM39/fF5Y0mcnJsqmpCZ6enlAyizeKxYnCNtBQzv9kamp6Sf0ePnwolTx69Aj0YnJyEqWlpXjy5Im8u7i4wPHxsUhGMFa7ubkp5rNACwsLmJiYwM/PD+bm5hzUdg2V6Vd2AF+SPjvk+fPn6O3tlcHa2trC3t4ejo6OJMHV1RUuLy/lme/fv3+P6elpdHV1iZws1MnJSeZFJThlgtdGRkbnTODl5SVJKisrZVppJg+l2t3dxcnJifyGErA1WT3Nt7GxgaWlpTCiAlTiwYMHZPBaHQ0D6sWspE0fqDc19fX1lTlgW3IuDg4OboeLzFJSUjA/Py+687ccSBpOuZSv1x7cRJGOjs4ZK2MSgtTW1uLZs2fgyqBsfLe9vS0rYn19XbqNrcmpZ8VFRUXyzOKUF5yF2y6SUCw+kKazszNcXFxEAg4bW5XPPH8tPLaxra0trK2t0dHRgaqqKva/zMHjx48/K7iv5oARwV1CqWg6lxuTkElzczO6u7tlqt+8eYP+/n55poxsYbJRwMLu/v371D74GvKLUCzeqjb7xEooFSnzcO+w/1+8eCFVkym/z8zMRFxcHEHFXLVdf1cw39xFDFuyoN729vZinuoG0ZXS0UTV32IkFyC/Z+fwkyyUj9/fpjfxytjY+JxdodaHAHKA1DBKe7J6MuSzugOgr68vk6w8IvgP7wOGjpLqiLJwbdBkAvAeIAO2JrXmJUSP8vPzER8ff/cb7Sby1fnyzv3Rufud/D8KDY0/AZndzavmVPx/AAAAAElFTkSuQmCC - - fb753c9c-1ad9-424b-866f-cdb3b7da95b7 - i_mesh - i_mesh - true - 0 - 1 - true - 2fae0066-4e58-4b19-842d-dacda172902a - 1 - Mesh to sample into a point cloud. - 794a1f9d-21d5-4379-b987-9e8bbf433912 - - - - - - 1416 - 67 - 44 - 20 - - - 1439.5 - 77 - - - - - - - - true - The number of points of the created cloud. - - 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 - - 9771b0c7-0638-4eb5-a786-87f9b4996653 - i_points - i_points - true - 0 - 1 - true - f70afb73-658f-4d2b-9d6f-91c0101a1850 - 1 - The number of points of the created cloud. - 48d01794-d3d8-4aef-990e-127168822244 - - - - - - 1416 - 87 - 44 - 20 - - - 1439.5 - 97 - - - - - - - - false - The output sampled cloud. - - 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 - - 04310b0a-5893-4ada-8b51-803304fad26a - o_rh_cloud - o_rh_cloud - false - 0 - 1 - true - 0 - The output sampled cloud. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1490 - 67 - 63 - 40 - - - 1521.5 - 87 - - - - - - - - - - false - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 719467e6-7cf5-4848-99b0-c5dd57e5442c - 066d0a87-236f-4eae-a0f4-9e42f5327962 - Python 3 Script - - - - - - true - - 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 - - 9c7ace08-0435-4b68-a1ba-9ac6fe0a05af - true - true - true - Python 3 Script - Py3 - 2 - - false - false - false - true - - - - - - 1289 - 428 - 72 - 44 - - - 1318 - 450 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 2 - 3ede854e-c753-40eb-84cb-b48008f14fd4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - rhinoscriptsyntax geometry - - 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 - - 752bf818-dc6e-4823-a5aa-cb0be35ad679 - x - x - true - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1291 - 430 - 12 - 20 - - - 1298.5 - 440 - - - - - - - - true - rhinoscriptsyntax geometry - - 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 - - 06a7df6a-23be-4601-8473-5163e7bb075b - y - y - true - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1291 - 450 - 12 - 20 - - - 1298.5 - 460 - - - - - - - - The execution information, as output and error streams - 2d7f3fd0-a89b-47b0-a3c8-24f416dc0be2 - out - out - false - 0 - - - - - - 1333 - 430 - 26 - 20 - - - 1346 - 440 - - - - - - - - false - rhinoscriptsyntax geometry - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAWJQAAFiUBSVIk8AAABBNJREFUSEvVVVsorWkYXshKcj6znM/n81nORCiFTFxRLtw4JFe2JDQy2pLkggunwo22K0opCZHsRHEhKWXPTBp2sazN0DPf8631r+wxe9tzNc1bb+tvrfU/z/s+7/N+n+q/Cj8TE5Mv4hP/In8S+WNhYWHxcWJiAltbW9jY2MDa2hpWVlawuLiIqakpDAwMoKGhAaWlpcjIyEBQUBBEQb+KV9V6hO+EmZlZuXjxz8nJSaSkpMhMTk5GYmIi4uPjERMTg8jISISGhkpgPz8/hIeHw8rK6s7U1PSdAeaboba1tf1jfn4elZWVsjpmenq6JCJJXFwcoqKiJGhwcDACAgJk+vv7QxBoBYZGD/UPYW5u/nN9ff1Td3c3MjMz0djYiP7+fszNzWFzcxPT09NISEiQXURERCAnJ0f+trq6itraWojiHoRUHwxwr8LPzc3ty8jICPLz85Gbm4u6ujqMjo7i6uoK19fX8rOsrAyxsbEoLCzE0dERzs/PcXh4iPHxcXh6enIW7CJBD/kihPYbFRUVqKmpkbJkZ2cjLy9P5v7+Pm5vb3F/fy+BkpKSsL29jYWFBdAMy8vLUlJ3d3fY29s/C5KPBlhjlDo5Oemqq6ul1tScEpGE2dfXB51Oh4eHB5ycnEiStrY2hISESP19fX1l9UIBeHt7Q7jwTmDW6qHFYEX1v6WmpoLJQSokypCLiookwdPTE56fn7G0tPTVkH18fKDRaODq6ipJSCi6uBbYViox+S5HR0cdwTk8WpEktOZLm+7t7UlwRk9Pz1c29fLygoeHB1xcXODg4CBJxfO9IHivEkyfw8LCpLeZJKEV6ZaXOTw8bOxgfX3dWL0iD/V3dnbmDCRRdHQ0t/szCd4Le2npbYWIzySiW5h85hZzBo+Pj3LYJH1ZPeURSsDOzk7iiO/ZwS8iVVbUi39m20zqS58rXXV1daG3txenp6cSXKvVorOzUw6U2rNjVk952AklFXPVz8AQtWq1+o5tM1taWjA2Nob29nYMDQ1hZmZGfj84OIibmxu5E8fHx7KYkpIStLa2GqvnzIRE3AWji2TQu9SO1mtubpYbysNudnbWaEfKcnZ2hsvLS1xcXODg4AA8s1g9wQMDA7kjzwLu1R4wknmWcGhZWVnS501NTcZB0orUm4u4u7uLnZ0ddHR0KMsl5eF229jYUPvXm8wQXXwQf3wgKJ3xMqk1h0lADpRVK7IIUGlv4ZxHAfPNs4ihYRfUm9VyaZQkKCVUgFmxcB+sra3l77wbxBy/f5oa4p1oWUsXiePDmAoo5VCqFncALC0t5Xkluib4m/cBQy2k+p1WTUtLk/MgAPUtLi6WlZaXl4MHY1VVFXh+FRQU8Gj4xHf1EG8H79e/37lv5Y/fyf+jUKn+AkB0rPmebpkgAAAAAElFTkSuQmCC - - 0467d1fe-d7ad-497b-b95c-5ea98c3e0482 - a - a - false - 0 - 1 - true - 0 - - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1333 - 450 - 26 - 20 - - - 1346 - 460 - - - - - - - - - - IyEgcHl0aG9uMw0KDQppbXBvcnQgZGlmZkNoZWNrDQppbXBvcnQgZGlmZkNoZWNrLmRmX2dlb21ldHJpZXMNCg0KDQoNCnByaW50KGYiZGlmZkNoZWNrIHZlcnNpb246IHtkaWZmQ2hlY2suX192ZXJzaW9uX199IikNCg0KZGlmZkNoZWNrLmRmX2dlb21ldHJpZXMudGVzdCgp - Py3 - - - - - *.*.python - 3.* - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 6d610c86-5123-46e1-aa83-56fd4b9bdd9b - Panel - - false - 0 - 2d7f3fd0-a89b-47b0-a3c8-24f416dc0be2 - 1 - Double click to edit panel content… - - - - - - 1382 - 415 - 233 - 50 - - 0 - 0 - 0 - - 1382.517 - 415.38635 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - a8b97322-2d53-47cd-905e-b932c3ccd74e - Button - - - - - Button object with two values - False - True - 9b34ccc8-a36a-4163-93ac-1a5c3493524e - Button - - false - 0 - - - - - - 1746 - 494 - 66 - 22 - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 57beba08-4293-4e2c-8f64-96c979cf9115 - Panel - - false - 0 - 0 - diffCheck - - - - - - 1716 - 517 - 113 - 38 - - 0 - 0 - 0 - - 1716.5018 - 517.20026 - - - - - - - 255;213;217;232 - - true - true - false - false - false - true - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - b9e0093f-a4d4-4820-a4a7-431dc93b1bcd - Number Slider - - false - 0 - - - - - - 1624 - 605 - 173 - 20 - - - 1624.5653 - 605.1298 - - - - - - 3 - 1 - 0 - 100 - 0 - 0 - 75.635 - - - - - - - - - 06953bda-1d37-4d58-9b38-4b3c74e54c8f - File Path - - - - - Contains a collection of file paths - false - All files|*.* - db44a4bd-2014-4e8c-b7a2-036c03bc0e33 - File Path - Path - false - 0 - - - - - - 1752 - 572 - 50 - 24 - - - 1777.7128 - 584.128 - - - - - - 1 - - - - - 1 - {0} - - - - - false - C:\Users\andre\Downloads\00_pt (2).ply - - - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - script-sync cpython - - - - - - true - 2 - - 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 - - 8730c899-bef5-4be9-9e1c-1da3934f3c97 - true - false - true - script-sync cpython - scsy-cpy - 2 - - false - false - false - false - - - - - - 1873 - 538 - 194 - 84 - - - 1988 - 580 - - - - - - 4 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Connect a button to open a file dialog to select a cpython file to run. - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAA6xJREFUSEvVVTlLXGEUHRUHkXHfHRWXcd/3DRVcQBFUVAzaCYKC+AsGohYGDQiipYV2VpLSykawjCIuaOGCgiZFgoVmNImc3HPnPRHHLVXIgcu8ecu59557vu+z/Cs4vLy8fsgv/iLeSbwNfn5+n+fn57G+vo61tTWsrq5iZWUFy8vLWFxcxNTUFAYGBtDa2orq6mqkpqZCCrqQT61uhhfg4+PTLh/+WlhYQHl5uUZZWRlKSkpQVFSE/Px85OTkICMjQ4mTkpKQlZUFm8125e3t7TRonoU1KCjo29LSErq6urQ6RlVVlSZiksLCQuTm5ippWloaUlJSNJKTkyEJroXD7qZ6Ar6+vh/6+/t/j42NoaamBnV1dRq8ZhJ2UlxcrF1kZ2cjPT1dyRMTE7UTKe5WpPpk0HnAER0dfTM7O4uGhgYlrq+vR0tLC+bm5rC7uwsT29vbmJycREFBARwOhyaIj49HXFwcZ8Euit2UDyDar3V2dqK3t1dlYYKenh4cHR0ZtJ44ODjQd5mA5DExMQgJCbmTJBsG7T1aw8PDXSSk1pSD1R8eHhpUnnC5XPq7v7+vw2YCUQAJCQkQF14JZ5+bWgYr1X+pqKgAg4NkkpmZGSV4Cufn5+jo6MDZ2Zn+Hx8fh91uR1RUlCZhR9LFd+G2WWTy78PCwlwk5/BoRSZh+0/h4uICTU1NatORkRG9t7Ozg9jYWERGRiI0NFQHL9dcqNMWyXSZmZmp3mYwCa14c3OjHz+ESc73aVEOmaBc1D8iIoIz0ER5eXlc3ZdMMC32uqa3zUS8fpyAspjktCfdQxKCCSiPKIHg4GB9R1zFDj5KWGzUiz5m2wwuooe2JDmty2esnOR8f2hoSJ9vbW1p9ZSHnXC9yFzdMzDQZ7Var/gxHcHfiYkJ/ZidtLW16T0+o74kZ/Wnp6f6jtPpvK+eBhGJuBbuXaSgd6kdlzxJWC0tSJycnGB4eFhb5/3BwUEcHx/rs729Pa2a5OystLT0Tug81gFRxr2EFjODzjKTPAWSc2YcLOXhjAIDA6m950ompItP8uItO+DCYVCO0dFRbG5uGrTAxsaGykLvs3IhVXuLbD+F5tm9iLCzC+rNvYWLxgy6hBJymNSbFYv7EBAQoM95NsgcX95NDTil5WvulrJ93IdJSjnMquUMgL+/v24r0jXJXz0PCKtI9ZVWraysRG1trRJQ3+bmZq20vb0d3Bi7u7t1Q2xsbHz7iWaA5+vjM/e1ePuZ/B/BYvkDKff7sf0Xzw8AAAAASUVORK5CYII= - - d37d2c92-1bf1-4def-a617-280adda6caf9 - btn - btn - true - 0 - 1 - true - 9b34ccc8-a36a-4163-93ac-1a5c3493524e - 1 - Connect a button to open a file dialog to select a cpython file to run. - d60527f5-b5af-4ef6-8970-5f96fe412559 - - - - - - 1875 - 540 - 98 - 20 - - - 1925.5 - 550 - - - - - - - - 1 - true - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - - 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 - - 79341e4c-d404-40fc-86cb-93b1d39b4cde - packages_2_reload - packages_2_reload - true - 1 - 1 - true - 57beba08-4293-4e2c-8f64-96c979cf9115 - 1 - Pass a list with the name of the custom packages you want to reload. This function is useful if you are developing a i.e. PyPI package and you want to reload the submodules after you modified something. The function will reload the package and all its submodules. If you want to reload the package and all its submodules, just pass the package name. If you want to reload only a submodule, pass the package name and the submodule name separated by a dot. If you want to reload multiple submodules, pass the package - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1875 - 560 - 98 - 20 - - - 1925.5 - 570 - - - - - - - - true - Converts to collection of text fragments - - iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAA7xJREFUSEvVVUssnGEUHcRExPvNeBvvV7xf8Yh3YiFBlO4kbCS2No3Gqlg0BBuxYEeINGxs2AgLiVZiJSzstJW0upjpQ01O77nz/0Jpq6umJ7mZ3/zmnHvPvff7LP8Kdg8Pj8/yib+IJxKPg4+Pz+v5+Xns7e1hZ2cH29vb2NzcxNraGhYXFzExMYH+/n60tbWhqqoKqampkITeyk+tbobfwMvLq11++H1hYQFlZWUapaWlKC4uRmFhIfLz85GTk4OMjAwlTkpKQlZWFvz8/Byenp7PDJpfwhoYGPhhaWkJnZ2dmh2jsrIS7e3tMHFycqKkaWlpSElJ0UhOToYIOIXD5qZ6AN7e3i/6+vquR0dHUV1djdraWg0+z83NweVyGRJAc3Mz0tPTlTwxMVErkeS+iVWvDLp7sEdFRX2dnp5GQ0ODEtfX12vw+ezsDCsrKwY9MDk5qTbZ7XYViIuLQ2xsLHvBKorclLcg3u90dHSgt7dXbbktMDAwgOPj4zs2HR0d3REgeXR0NIKDg10i8sagvUFbWFjYl+7ubm0qPb9t0fLyMqamprTZp6enhgRQV1d3YxEFxAHEx8dDptAhnE/d1NJYyf5deXk5GJwWU4SVUOji4gItLS36bnZ21qAHxsbGVCAhIQE2mw2RkZEqQkGp4qNw+1mk889DQ0O/kJwjyFEkEbOl0NDQkO6COaZdXV0GPXBwcKDNpf8xMTGIiIhASEiIisozF/WlRZQ+ZWZm6mwzKFJQUICioiKNjY0NDA8P63fmDpyfnxsS0EpN/8PDw9kDFcrLy+N2f6LASxkvZ25uLkwhPpOMFTgcDoPqYYyMjGj2tEecQFBQkPJIVe4K6BP9YqmcCgaXKDs7WzNfXV3VZ37Hd1yunp4egx7Y399X35k97WEltFf66u6BgadWq9XBH3P9+cklOjw8xODgoD6b7+gvR/Py8lIFrq+vtVoze1YtFnEXbqZIwdmld1x5koyPjysBBfg3g1WaS7W7u6vviZmZGSWncElJiUvo7u0BUcqzhARcIhNOp1OPCY4iidmj9fV1XF1dGf/hxtbWFpqamhAQEEDv728yIVW8Eh+/MVtOxu3gnLOZ9JgNpeemLUKqIyyTcyU0vzyLCBuroN/Mls0zg6S00CRmQ2X64O/vr+95N0gff3+aGngms+zk5MjxcRMmKefczFruAPj6+up5JVWT/I/3AWEVq95zLCsqKlBTU6ME9Le1tVUz5aHHg5FbzfOrsbHx8TeaAd6vP9+5f4rH38n/ESyWH1B2wifz0XRNAAAAAElFTkSuQmCC - - 91e14346-be3e-4e3a-83ac-d5323d26dc95 - i_path - i_path - true - 0 - 1 - true - db44a4bd-2014-4e8c-b7a2-036c03bc0e33 - 1 - - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1875 - 580 - 98 - 20 - - - 1925.5 - 590 - - - - - - - - true - Converts to collection of floating point numbers - - 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 - - 4ea0206c-3220-4871-9934-95649446d4b2 - i_scalef - i_scalef - true - 0 - 1 - true - b9e0093f-a4d4-4820-a4a7-431dc93b1bcd - 1 - - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1875 - 600 - 98 - 20 - - - 1925.5 - 610 - - - - - - - - false - The redirected standard output of the component scriptsync. - - 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 - - b88ca5b4-cd83-4605-b7b7-c87f2f491f7a - stdout - stdout - false - 0 - 1 - true - 0 - The redirected standard output of the component scriptsync. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2003 - 540 - 62 - 40 - - - 2034 - 560 - - - - - - - - false - Generic example output of the component - - 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 - - 802ac2da-debf-4697-a898-8643ab3b232c - o_rh_mesh - o_rh_mesh - false - 0 - 1 - true - 0 - Generic example output of the component - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 2003 - 580 - 62 - 40 - - - 2034 - 600 - - - - - - - - - - false - from ghpythonlib.componentbase import executingcomponent as component

import System
import System.Drawing
import System.Windows.Forms
import Rhino
import Grasshopper
import Grasshopper as gh
from Grasshopper.Kernel import GH_RuntimeMessageLevel as RML
import sys
import os
import time

import contextlib
import io

import abc
import socket
import threading
import queue
import json

import importlib
import sys


class GHThread(threading.Thread, metaclass=abc.ABCMeta):
    """
        A base class for Grasshopper threads.
    """
    def __init__(self, name : str):
        super().__init__(name=name, daemon=False)
        self._component_on_canvas = True
        self._component_enabled = True

    @abc.abstractmethod
    def run(self):
        """ Run the thread. """
        pass

    def _check_if_component_on_canvas(self):
        """ Check if the component is on canvas from thread. """
        def __check_if_component_on_canvas():
            if ghenv.Component.OnPingDocument() is None:
                self._component_on_canvas = False
                return False
            else:
                self._component_on_canvas = True
                return True
        action = System.Action(__check_if_component_on_canvas)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def _check_if_component_enabled(self):
        """ Check if the component is enabled from thread. """
        def __check_if_component_enabled():
            if ghenv.Component.Locked:
                self._component_enabled = False
            else:
                self._component_enabled = True
        action = System.Action(__check_if_component_enabled)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def expire_component_solution(self):
        """ Fire the recalculation of the component solution from thread. """
        def __expire_component_solution():
            ghenv.Component.Params.Output[0].ClearData()  # clear the output
            ghenv.Component.ExpireSolution(True)  # expire the component
        action = System.Action(__expire_component_solution)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def clear_component(self):
        """ Clear the component from thread. """
        def __clear_component():
            ghenv.Component.ClearData()
        action = System.Action(__clear_component)
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_warning(self, exception : str):
        """ Add a warning tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Warning, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_error(self, exception : str):
        """ Add an error tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Error, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    def add_runtime_remark(self, exception : str):
        """ Add a blank tab to the component from main thread. """
        action = System.Action(
            lambda: ghenv.Component.AddRuntimeMessage(RML.Remark, exception)
        )
        Rhino.RhinoApp.InvokeOnUiThread(action)

    @property
    def component_enabled(self):
        self._check_if_component_enabled()
        return self._component_enabled

    @property
    def component_on_canvas(self):
        self._check_if_component_on_canvas()
        return self._component_on_canvas

class ClientThread(GHThread):
    """
    A thread to connect to the VSCode server.
    """
    def __init__(self, vscode_server_ip: str, vscode_server_port: int, name: str,
                 queue_msg: queue.Queue = None, lock_queue_msg: threading.Lock = None,
                 event_fire_msg: threading.Event = None):
        super().__init__(name=name)
        self.vscode_server_ip = vscode_server_ip
        self.vscode_server_port = vscode_server_port
        self.is_connected = False
        self.connect_refresh_rate = 1  # seconds
        self.queue_msg = queue_msg
        self.lock_queue_msg = lock_queue_msg
        self.event_fire_msg = event_fire_msg
        self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

    def run(self):
        """ Run the thread. Send the message to the vscode server."""
        while self.component_on_canvas and self.component_enabled:
            try:
                if not self.is_connected:
                    self.connect_to_vscode_server()
                    self.clear_component()
                    self.expire_component_solution()
                    continue

                self.event_fire_msg.wait()
                self.send_message_from_queue()

            except Exception as e:
                self.add_runtime_warning(f"script-sync::Unkown error from run: {str(e)}")
                self.is_connected = False
                self.client_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

        self.client_socket.close()

    def send_message_from_queue(self):
        with self.lock_queue_msg:
            if self.queue_msg and not self.queue_msg.empty():
                msg = self.queue_msg.get()
                self.queue_msg.task_done()
                self.event_fire_msg.set()
                self.event_fire_msg.clear()
                self.client_socket.send(msg)

    def connect_to_vscode_server(self):
        """ Connect to the VSCode server. """
        while self.component_on_canvas and not self.is_connected:
            try:
                self.client_socket.send(b"")
                self.is_connected = True
            except socket.error:
                try:
                    self.client_socket.connect((self.vscode_server_ip, self.vscode_server_port))
                    self.is_connected = True
                except (ConnectionRefusedError, ConnectionResetError, socket.error) as e:
                    self.handle_connection_error(e)
            finally:
                time.sleep(self.connect_refresh_rate)

    def handle_connection_error(self, e):
        error_messages = {
            ConnectionRefusedError: "script-sync::Connection refused by the vscode",
            ConnectionResetError: "script-sync::Connection was forcibly closed by the vscode",
            socket.error: f"script-sync::Error connecting to the vscode: {str(e)}"
        }
        self.add_runtime_warning(error_messages[type(e)])
        self.is_connected = False if type(e) != socket.error or e.winerror != 10056 else True

class FileChangedThread(GHThread):
    """
        A thread to check if the file has changed on disk.
    """
    def __init__(self,
                path : str,
                name : str
                ):
        super().__init__(name=name)
        self.path = path
        self.refresh_rate = 1000  # milliseconds
        self._on_file_changed = threading.Event()

    def run(self):
        """
            Check if the file has changed on disk.
        """
        last_modified = os.path.getmtime(self.path)
        while self.component_on_canvas and not self._on_file_changed.is_set():
            System.Threading.Thread.Sleep(self.refresh_rate)
            last_modified = self.is_file_modified(last_modified)
        self._on_file_changed.clear()
        return

    def stop(self):
        """ Stop the thread. """
        self._on_file_changed.set()

    def is_file_modified(self, last_modified):
        current_modified = os.path.getmtime(self.path)
        if current_modified != last_modified:
            self.expire_component_solution()
            return current_modified
        return last_modified


class ScriptSyncCPy(component):
    def __init__(self):
        super(ScriptSyncCPy, self).__init__()
        self._var_output = []

        self.is_success = False

        self.client_thread_name : str = f"script-sync-client-thread::{ghenv.Component.InstanceGuid}"
        self.vscode_server_ip = "127.0.0.1"
        self.vscode_server_port = 58260
        self.stdout = None
        self.queue_msg = queue.Queue()
        self.queue_msg_lock = threading.Lock()
        self.event_fire_msg = threading.Event()

        self.filechanged_thread_name : str = f"script-sync-fileChanged-thread::{ghenv.Component.InstanceGuid}"
        self.__path_name_table_value = "script-sync::" + "path::" + str(ghenv.Component.InstanceGuid)
        if self.path is None:
            ghenv.Component.Message = "select-script"

    def RemovedFromDocument(self, doc):
        """ Remove the component from the document. """
        if self.client_thread_name in [t.name for t in threading.enumerate()]:
            client_thread = [t for t in threading.enumerate() if t.name == self.client_thread_name][0]
            client_thread.join()
        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            filechanged_thread = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0]
            filechanged_thread.join()
        if self.queue_msg is not None:
            self.queue_msg.join()
        if self.queue_msg_lock is not None:
            self.queue_msg_lock.release()
        if self.event_fire_msg is not None:
            self.event_fire_msg.clear()

        # clear the path from the table view
        del self.path

    def init_script_path(self, btn : bool = False):
        """
            Check if the button is pressed and load/change path script.
            
            :param btn: A boolean of the button
        """
        # check if button is pressed
        if btn is True:
            dialog = System.Windows.Forms.OpenFileDialog()
            dialog.Filter = "Python files (*.py)|*.py"
            dialog.Title = "Select a Python file"
            dialog.InitialDirectory = os.path.dirname("")
            dialog.FileName = ""
            dialog.Multiselect = False
            dialog.CheckFileExists = True
            dialog.CheckPathExists = True
            dialog.RestoreDirectory = True
            if dialog.ShowDialog() == System.Windows.Forms.DialogResult.OK:
                self.path = dialog.FileName

        # default init stauts
        if self.path is None:
            raise Exception("script-sync::File not selected")

        # fi file is in table view before
        if not os.path.exists(self.path):
            raise Exception("script-sync::File does not exist")
    
    def reload_all_modules(self, directory):
        for filename in os.listdir(directory):
            if filename.endswith('.py') and filename != '__init__.py':
                module_name = filename[:-3]  # remove '.py' from filename
                if module_name in sys.modules:
                    importlib.reload(sys.modules[module_name])

    def safe_exec(self, path, globals, locals, packages_2_reload):
        """
            Execute Python3 code safely. It redirects the output of the code
            to a string buffer 'stdout' to output to the GH component param.
            It is send to the vscode server.
            
            :param path: The path of the file to execute.
            :param globals: The globals dictionary.
            :param locals: The locals dictionary.
            :param packages_2_reload: The list of packages to reload, this is used for custom packages developement.
            installed on the system via an editable pip installation for example.
        """
        try:
            with open(path, 'r') as f:
                # reload the specifyed packages
                if packages_2_reload is not None:
                    if packages_2_reload.__len__() != 0:
                        for package in packages_2_reload:
                            for key in list(sys.modules.keys()):
                                if package in key:
                                    #check that the package must have the attribute __path__
                                    if hasattr(sys.modules[key], '__file__'):
                                        print(sys.modules[key])
                                        importlib.reload(sys.modules[key])

                # add the path and sub directories to  the sys path
                path_dir = os.path.dirname(path)
                sub_dirs = []
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        sub_dirs.append(os.path.join(root, d))
                sys.path.extend([path_dir] + sub_dirs)

                # reload all the modules also of the sub directories
                for root, dirs, files in os.walk(path_dir):
                    for d in dirs:
                        self.reload_all_modules(os.path.join(root, d))
                self.reload_all_modules(path_dir)

                # refresh the python interpreter
                importlib.invalidate_caches()

                # parse the code
                code = compile(f.read(), path, 'exec')
                output = io.StringIO()

                # empty the queue and event
                with self.queue_msg_lock:
                    while not self.queue_msg.empty():
                        self.queue_msg.get()
                        self.queue_msg.task_done()
                self.event_fire_msg.clear()

                # execute the code
                with contextlib.redirect_stdout(output):
                    exec(code, globals, locals)
                locals["stdout"] = output.getvalue()

                # send the msg to the vscode server
                msg_json = json.dumps({"script_path": path,
                                       "guid": str(ghenv.Component.InstanceGuid),
                                       "msg": output.getvalue()})
                msg_json = msg_json.encode('utf-8')
                self.queue_msg.put(msg_json)
                self.event_fire_msg.set()

                # pass the script variables to the GH component outputs
                outparam = ghenv.Component.Params.Output
                outparam_names = [p.NickName for p in outparam]
                for outp in outparam_names:
                    if outp in locals.keys():
                        self._var_output.append(locals[outp])
                    else:
                        self._var_output.append(None)

                sys.stdout = sys.__stdout__
            return locals

        except Exception as e:

            # send the error message to the vscode server
            err_json = json.dumps({"script_path": path,
                                    "guid": str(ghenv.Component.InstanceGuid),
                                    "msg": "err:" + str(e)})
            err_json = err_json.encode('utf-8')
            self.queue_msg.put(err_json)
            self.event_fire_msg.set()
            
            sys.stdout = sys.__stdout__

            err_msg = f"script-sync::Error in the code: {str(e)}"
            raise Exception(err_msg)

    def RunScript(self,
            btn: bool,
            packages_2_reload: System.Collections.Generic.List[object],
            i_path: str,
            i_scalef: float):
        """ This method is called whenever the component has to be recalculated it's the solve main instance. """
        self.is_success = False
        
        # set the path if button is pressed
        self.init_script_path(btn)

        # file change listener thread
        if self.filechanged_thread_name not in [t.name for t in threading.enumerate()]:
            FileChangedThread(self.path,
                              self.filechanged_thread_name
                              ).start()

        # set up the tcp client to connect to the vscode server
        _ = [print(t.name) for t in threading.enumerate()]
        if self.client_thread_name not in [t.name for t in threading.enumerate()]:
            ClientThread(self.vscode_server_ip,
                        self.vscode_server_port,
                        self.client_thread_name,
                        self.queue_msg,
                        self.queue_msg_lock,
                        self.event_fire_msg
                        ).start()

        # add to the globals all the input parameters of the component (the locals)
        globals().update(locals())

        res = self.safe_exec(self.path, None, globals(), packages_2_reload)
        self.is_success = True
        return

    def AfterRunScript(self):
        """
            This method is called as soon as the component has finished
            its calculation. It is used to load the GHComponent outputs
            with the values created in the script.
        """
        if not self.is_success:
            return
        outparam = [p for p in ghenv.Component.Params.Output]
        outparam_names = [p.NickName for p in outparam]
        
        # TODO: add the conversion to datatree for nested lists and tuples
        for idx, outp in enumerate(outparam):
            # detect if the output is a list
            if type(self._var_output[idx]) == list or type(self._var_output[idx]) == tuple:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileDataList(gh.Kernel.Data.GH_Path(0), self._var_output[idx])
            else:
                ghenv.Component.Params.Output[idx].VolatileData.Clear()
                ghenv.Component.Params.Output[idx].AddVolatileData(gh.Kernel.Data.GH_Path(0), 0, self._var_output[idx])
        self._var_output.clear()

    @property
    def path(self):
        """ Get the path of the file from the table view to be sticking between the sessions. """
        table_value = ghenv.Component.OnPingDocument().ValueTable.GetValue(
            self.__path_name_table_value, "not_found"
        )
        if table_value != "not_found":
            return table_value
        else:
            return None

    @path.setter
    def path(self, path : str):
        """ Set the path of the file to the table view to be sticking between the sessions. """
        ghenv.Component.OnPingDocument().ValueTable.SetValue(self.__path_name_table_value, path)

        script_name = os.path.basename(path)
        ghenv.Component.Message = f"{script_name}"

        if self.filechanged_thread_name in [t.name for t in threading.enumerate()]:
            _ = [t for t in threading.enumerate() if t.name == self.filechanged_thread_name][0].stop()

    @path.deleter
    def path(self):
        """ Delete the path of the file from the table view if the object is erased. """
        ghenv.Component.OnPingDocument().ValueTable.DeleteValue(self.__path_name_table_value)
 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 4f776e1f-a3a2-4941-9b25-5889993847d4 - Panel - - false - 1 - b88ca5b4-cd83-4605-b7b7-c87f2f491f7a - 1 - Double click to edit panel content… - - - - - - 2075 - 448 - 509 - 143 - - 0 - 0 - 0 - - 2075.644 - 448.02563 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - 57da07bd-ecab-415d-9d86-af36d7073abc - Number Slider - - - - - Numeric slider for single values - 71dbd76b-4862-48e7-ac3f-1d9d2ee374b2 - Number Slider - - false - 0 - - - - - - 1690 - 731 - 167 - 20 - - - 1690.754 - 731.71454 - - - - - - 3 - 1 - 0 - 100 - 0 - 0 - 44.755 - - - - - - - - - 06953bda-1d37-4d58-9b38-4b3c74e54c8f - File Path - - - - - Contains a collection of file paths - false - All files|*.* - 7e6dd971-6b36-497d-ba0c-19173cf0f1b6 - File Path - Path - false - 0 - - - - - - 1799 - 689 - 50 - 24 - - - 1824.3555 - 701.9794 - - - - - - 1 - - - - - 1 - {0} - - - - - false - C:\Users\andre\Downloads\00_pt (1).ply - - - - - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFLoadCloudFromFile - - - - - - true - true - 2 - - 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 - - 12441b33-18f8-4a0d-981b-a4a93a84177b - true - false - true - DFLoadCloudFromFile - CloudFFile - 2 - - false - false - false - false - - - - - - 1880 - 699 - 138 - 44 - - - 1938 - 721 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Path of the file (e.g. .ply) to import - - 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 - - a7ea463b-6287-4b25-aea6-2a8bd1499b19 - i_path - i_path - true - 0 - 1 - true - 7e6dd971-6b36-497d-ba0c-19173cf0f1b6 - 1 - Path of the file (e.g. .ply) to import - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1882 - 701 - 41 - 20 - - - 1904 - 711 - - - - - - - - true - Scaling factor to adapt the unit of the imported file to the rhino document. - - 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 - - 2b0a41c0-c38e-4fc3-8a58-b3079cedf1de - i_scalef - i_scalef - true - 0 - 1 - true - 71dbd76b-4862-48e7-ac3f-1d9d2ee374b2 - 1 - Scaling factor to adapt the unit of the imported file to the rhino document. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1882 - 721 - 41 - 20 - - - 1904 - 731 - - - - - - - - false - The imported cloud in rhino format. - - 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 - - a56d39be-aa04-4be7-9008-92dd0fd902fd - o_rh_cloud - o_rh_cloud - false - 0 - 1 - true - 0 - The imported cloud in rhino format. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1953 - 701 - 63 - 40 - - - 1984.5 - 721 - - - - - - - - - - false - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - 59e0b89a-e487-49f8-bab8-b5bab16be14c - Panel - - - - - A panel for custom notes and text values - 3deb053c-8b36-4740-8b1c-76c2dd63a98c - Panel - - false - 1 - 802ac2da-debf-4697-a898-8643ab3b232c - 1 - Double click to edit panel content… - - - - - - 2090 - 602 - 509 - 143 - - 0 - 0 - 0 - - 2090.3105 - 602.6923 - - - - - - - 255;213;217;232 - - true - true - true - false - false - true - - - - - - - - - c9b2d725-6f87-4b07-af90-bd9aefef68eb - 066d0a87-236f-4eae-a0f4-9e42f5327962 - DFLoadMeshFromFile - - - - - - true - 2 - - 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 - - 0c88e03f-261b-4f60-bad6-864e1e300baf - true - false - true - DFLoadMeshFromFile - MeshFFile - 2 - - false - false - false - false - - - - - - 1899 - 794 - 137 - 44 - - - 1957 - 816 - - - - - - 2 - 08908df5-fa14-4982-9ab2-1aa0927566aa - 08908df5-fa14-4982-9ab2-1aa0927566aa - 1 - 08908df5-fa14-4982-9ab2-1aa0927566aa - - - - - true - Path of the file (e.g. .ply) to import - - 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 - - c5c5fc64-7a75-45e1-87c9-39b31e5ed30d - i_path - i_path - true - 0 - 1 - true - 7e6dd971-6b36-497d-ba0c-19173cf0f1b6 - 1 - Path of the file (e.g. .ply) to import - 3aceb454-6dbd-4c5b-9b6b-e71f8c1cdf88 - - - - - - 1901 - 796 - 41 - 20 - - - 1923 - 806 - - - - - - - - true - Scaling factor to adapt the unit of the imported file to the rhino document. - - 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 - - c0ae410e-18e3-4eb2-a8f3-06e6983a17a8 - i_scalef - i_scalef - true - 0 - 1 - true - 71dbd76b-4862-48e7-ac3f-1d9d2ee374b2 - 1 - Scaling factor to adapt the unit of the imported file to the rhino document. - 9d51e32e-c038-4352-9554-f4137ca91b9a - - - - - - 1901 - 816 - 41 - 20 - - - 1923 - 826 - - - - - - - - false - The imported mesh. - - 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 - - 6e3a2552-9c83-45c4-9545-ddc8aaba98d5 - o_rh_mesh - o_rh_mesh - false - 0 - 1 - true - 0 - The imported mesh. - 1c282eeb-dd16-439f-94e4-7d92b542fe8b - - - - - - 1972 - 796 - 62 - 40 - - - 2003 - 816 - - - - - - - - - - false - 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 - S - - - - - *.*.python - 3.* - - - - - - - - - - - - - - - - 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 - - - - - \ No newline at end of file +version https://git-lfs.github.com/spec/v1 +oid sha256:9d5d261afa88fd9369bfab9fd57c536690ee77b074591c6096f84ab24a1f39c9 +size 304120 From 53a04a1189398cbd7eac320e54597bb9383dd7e6 Mon Sep 17 00:00:00 2001 From: Andrea Settimi Date: Thu, 28 Nov 2024 18:35:17 +0100 Subject: [PATCH 17/17] FIX: add axis compatibility for elements with no joints --- src/gh/diffCheck/diffCheck/df_geometries.py | 24 ++++++++++++++++++--- 1 file changed, 21 insertions(+), 3 deletions(-) diff --git a/src/gh/diffCheck/diffCheck/df_geometries.py b/src/gh/diffCheck/diffCheck/df_geometries.py index cf5a080b..821a0849 100644 --- a/src/gh/diffCheck/diffCheck/df_geometries.py +++ b/src/gh/diffCheck/diffCheck/df_geometries.py @@ -467,10 +467,12 @@ def compute_axis(self, is_unitized: bool = True) -> rg.Line: :return axis: The axis of the beam as a line """ joints = self.joints - joint1 = joints[0] - joint2 = joints[1] - max_distance = 0 + joint1 = None + joint2 = None if len(joints) > 2: + joint1 = joints[0] + joint2 = joints[1] + max_distance = 0 for j1 in joints: for j2 in joints: distance = rg.Point3d.DistanceTo( @@ -480,6 +482,22 @@ def compute_axis(self, is_unitized: bool = True) -> rg.Line: max_distance = distance joint1 = j1 joint2 = j2 + else: + #get the two farthest dffaces for simplicity + df_faces = [face for face in self.faces] + max_distance = 0 + for i in range(len(df_faces)): + for j in range(i+1, len(df_faces)): + distance = rg.Point3d.DistanceTo( + df_faces[i].center.to_rg_point3d(), + df_faces[j].center.to_rg_point3d()) + if distance > max_distance: + max_distance = distance + joint1 = df_faces[i] + joint2 = df_faces[j] + + if joint1 is None or joint2 is None: + raise ValueError("The beam axis cannot be calculated") axis_ln = rg.Line( joint1.center.to_rg_point3d(),