Lewis model

.vscode/launch.json

@@ -10,7 +10,7 @@
             "request": "launch",
             "program": "${file}",
             "console": "integratedTerminal",
-            "justMyCode": true
+            "justMyCode": false,
         }
     ]
 }

.vscode/settings.json

@@ -1,127 +1,126 @@
 {
-    "bazel-cpp-tools.compileCommands.targets": [
-        "//...",
-    ],
-    "jupyter.jupyterServerType": "local",
-    "files.associations": {
-        "functional": "cpp",
-        "*.evaluator": "cpp",
-        "*.traits": "cpp",
-        "fft": "cpp",
-        "openglsupport": "cpp",
-        "regex": "cpp",
-        "tuple": "cpp",
-        "type_traits": "cpp",
-        "any": "cpp",
-        "array": "cpp",
-        "atomic": "cpp",
-        "bit": "cpp",
-        "*.tcc": "cpp",
-        "bitset": "cpp",
-        "cctype": "cpp",
-        "chrono": "cpp",
-        "cinttypes": "cpp",
-        "clocale": "cpp",
-        "cmath": "cpp",
-        "codecvt": "cpp",
-        "complex": "cpp",
-        "condition_variable": "cpp",
-        "cstdarg": "cpp",
-        "cstddef": "cpp",
-        "cstdint": "cpp",
-        "cstdio": "cpp",
-        "cstdlib": "cpp",
-        "cstring": "cpp",
-        "ctime": "cpp",
-        "cwchar": "cpp",
-        "cwctype": "cpp",
-        "deque": "cpp",
-        "forward_list": "cpp",
-        "list": "cpp",
-        "map": "cpp",
-        "set": "cpp",
-        "unordered_map": "cpp",
-        "unordered_set": "cpp",
-        "vector": "cpp",
-        "exception": "cpp",
-        "algorithm": "cpp",
-        "iterator": "cpp",
-        "memory": "cpp",
-        "memory_resource": "cpp",
-        "numeric": "cpp",
-        "optional": "cpp",
-        "random": "cpp",
-        "ratio": "cpp",
-        "string": "cpp",
-        "string_view": "cpp",
-        "system_error": "cpp",
-        "utility": "cpp",
-        "hash_map": "cpp",
-        "fstream": "cpp",
-        "future": "cpp",
-        "initializer_list": "cpp",
-        "iomanip": "cpp",
-        "iosfwd": "cpp",
-        "iostream": "cpp",
-        "istream": "cpp",
-        "limits": "cpp",
-        "mutex": "cpp",
-        "new": "cpp",
-        "ostream": "cpp",
-        "shared_mutex": "cpp",
-        "sstream": "cpp",
-        "stdexcept": "cpp",
-        "streambuf": "cpp",
-        "thread": "cpp",
-        "typeinfo": "cpp",
-        "valarray": "cpp",
-        "variant": "cpp",
-        "filesystem": "cpp",
-        "locale": "cpp",
-        "mprealsupport": "cpp",
-        "nonlinearoptimization": "cpp",
-        "dense": "cpp",
-        "__bit_reference": "cpp",
-        "__bits": "cpp",
-        "__config": "cpp",
-        "__debug": "cpp",
-        "__errc": "cpp",
-        "__hash_table": "cpp",
-        "__locale": "cpp",
-        "__mutex_base": "cpp",
-        "__node_handle": "cpp",
-        "__nullptr": "cpp",
-        "__split_buffer": "cpp",
-        "__string": "cpp",
-        "__threading_support": "cpp",
-        "__tree": "cpp",
-        "__tuple": "cpp",
-        "compare": "cpp",
-        "concepts": "cpp",
-        "ios": "cpp",
-        "queue": "cpp",
-        "stack": "cpp",
-        "__functional_base": "cpp",
-        "alignedvector3": "cpp",
-        "typeindex": "cpp",
-        "*.ipp": "cpp",
-        "*.inc": "cpp",
-        "core": "cpp",
-        "geometry": "cpp",
-        "qtalignedmalloc": "cpp",
-        "matrixfunctions": "cpp",
-        "bvh": "cpp"
-    },
-    "C_Cpp.errorSquiggles": "Enabled",
-    "C_Cpp.clang_format_fallbackStyle": "{ BasedOnStyle: LLVM, UseTab: Never, IndentWidth: 4, TabWidth: 4, AllowShortIfStatementsOnASingleLine: false, IndentCaseLabels: false, ColumnLimit: 100, AccessModifierOffset: -4, NamespaceIndentation: All, FixNamespaceComments: false, PointerAlignment: Left}",
-    "cmake.configureOnOpen": false,
-    "python.testing.unittestEnabled": false,
-    "python.testing.pytestEnabled": true,
-    "python.linting.pylintEnabled": false,
-    "python.linting.flake8Enabled": true,
-    "python.linting.enabled": true,
-	"python.formatting.provider": "black",
-    "autoDocstring.docstringFormat": "google-notypes",
-    "r.bracketedPaste": true,
-    "r.plot.useHttpgd": true
+  "bazel-cpp-tools.compileCommands.targets": ["//..."],
+  "jupyter.jupyterServerType": "local",
+  "files.associations": {
+    "functional": "cpp",
+    "*.evaluator": "cpp",
+    "*.traits": "cpp",
+    "fft": "cpp",
+    "openglsupport": "cpp",
+    "regex": "cpp",
+    "tuple": "cpp",
+    "type_traits": "cpp",
+    "any": "cpp",
+    "array": "cpp",
+    "atomic": "cpp",
+    "bit": "cpp",
+    "*.tcc": "cpp",
+    "bitset": "cpp",
+    "cctype": "cpp",
+    "chrono": "cpp",
+    "cinttypes": "cpp",
+    "clocale": "cpp",
+    "cmath": "cpp",
+    "codecvt": "cpp",
+    "complex": "cpp",
+    "condition_variable": "cpp",
+    "cstdarg": "cpp",
+    "cstddef": "cpp",
+    "cstdint": "cpp",
+    "cstdio": "cpp",
+    "cstdlib": "cpp",
+    "cstring": "cpp",
+    "ctime": "cpp",
+    "cwchar": "cpp",
+    "cwctype": "cpp",
+    "deque": "cpp",
+    "forward_list": "cpp",
+    "list": "cpp",
+    "map": "cpp",
+    "set": "cpp",
+    "unordered_map": "cpp",
+    "unordered_set": "cpp",
+    "vector": "cpp",
+    "exception": "cpp",
+    "algorithm": "cpp",
+    "iterator": "cpp",
+    "memory": "cpp",
+    "memory_resource": "cpp",
+    "numeric": "cpp",
+    "optional": "cpp",
+    "random": "cpp",
+    "ratio": "cpp",
+    "string": "cpp",
+    "string_view": "cpp",
+    "system_error": "cpp",
+    "utility": "cpp",
+    "hash_map": "cpp",
+    "fstream": "cpp",
+    "future": "cpp",
+    "initializer_list": "cpp",
+    "iomanip": "cpp",
+    "iosfwd": "cpp",
+    "iostream": "cpp",
+    "istream": "cpp",
+    "limits": "cpp",
+    "mutex": "cpp",
+    "new": "cpp",
+    "ostream": "cpp",
+    "shared_mutex": "cpp",
+    "sstream": "cpp",
+    "stdexcept": "cpp",
+    "streambuf": "cpp",
+    "thread": "cpp",
+    "typeinfo": "cpp",
+    "valarray": "cpp",
+    "variant": "cpp",
+    "filesystem": "cpp",
+    "locale": "cpp",
+    "mprealsupport": "cpp",
+    "nonlinearoptimization": "cpp",
+    "dense": "cpp",
+    "__bit_reference": "cpp",
+    "__bits": "cpp",
+    "__config": "cpp",
+    "__debug": "cpp",
+    "__errc": "cpp",
+    "__hash_table": "cpp",
+    "__locale": "cpp",
+    "__mutex_base": "cpp",
+    "__node_handle": "cpp",
+    "__nullptr": "cpp",
+    "__split_buffer": "cpp",
+    "__string": "cpp",
+    "__threading_support": "cpp",
+    "__tree": "cpp",
+    "__tuple": "cpp",
+    "compare": "cpp",
+    "concepts": "cpp",
+    "ios": "cpp",
+    "queue": "cpp",
+    "stack": "cpp",
+    "__functional_base": "cpp",
+    "alignedvector3": "cpp",
+    "typeindex": "cpp",
+    "*.ipp": "cpp",
+    "*.inc": "cpp",
+    "core": "cpp",
+    "geometry": "cpp",
+    "qtalignedmalloc": "cpp",
+    "matrixfunctions": "cpp",
+    "bvh": "cpp"
+  },
+  "C_Cpp.errorSquiggles": "Enabled",
+  "C_Cpp.clang_format_fallbackStyle": "{ BasedOnStyle: LLVM, UseTab: Never, IndentWidth: 4, TabWidth: 4, AllowShortIfStatementsOnASingleLine: false, IndentCaseLabels: false, ColumnLimit: 100, AccessModifierOffset: -4, NamespaceIndentation: All, FixNamespaceComments: false, PointerAlignment: Left}",
+  "cmake.configureOnOpen": false,
+  "python.testing.unittestEnabled": false,
+  "python.testing.pytestEnabled": true,
+  "python.linting.pylintEnabled": false,
+  "python.linting.flake8Enabled": true,
+  "python.linting.enabled": true,
+  "python.formatting.provider": "black",
+  "autoDocstring.docstringFormat": "google-notypes",
+  "r.bracketedPaste": true,
+  "r.plot.useHttpgd": true,
+  "python.analysis.extraPaths": ["./outlaw", "./imprint/python"]
 }

confirm/confirm/lewislib/batch.py

@@ -0,0 +1,84 @@
+import numpy as np
+
+
+def pad_arg__(a, axis, n_pad: int):
+    pad_element = np.take(a, indices=0, axis=axis)
+    pad_element = np.expand_dims(pad_element, axis=axis)
+    new_shape = tuple(a.shape[i] if i != axis else n_pad for i in range(a.ndim))
+    return np.concatenate((a, np.full(new_shape, pad_element)), axis=axis)
+
+
+def create_batched_args__(args, in_axes, start, end, n_pad=None):
+    def arg_transform(arg, axis):
+        return pad_arg__(arg, axis, n_pad) if n_pad is not None else arg
+
+    return [
+        arg_transform(
+            np.take(arg, indices=range(start, end), axis=axis),
+            axis,
+        )
+        if axis is not None
+        else arg
+        for arg, axis in zip(args, in_axes)
+    ]
+
+
+def batch(f, batch_size: int, in_axes):
+    def internal(*args):
+        dims = np.array(
+            [arg.shape[axis] for arg, axis in zip(args, in_axes) if axis is not None]
+        )
+        if len(dims) <= 0:
+            raise ValueError(
+                "f must take at least one argument "
+                "whose corresponding in_axes is not None."
+            )
+
+        dims_all_equal = np.sum(dims != dims[0]) == 0
+        if not dims_all_equal:
+            raise ValueError(
+                "All batched arguments must have the same dimension "
+                "along their corresopnding in_axes."
+            )
+
+        dim = dims[0]
+        batch_size_new = min(batch_size, dim)
+        n_full_batches = dim // batch_size_new
+        remainder = dim % batch_size_new
+        n_pad = batch_size_new - remainder
+        pad_last = remainder > 0
+        start = 0
+        end = batch_size_new
+
+        for _ in range(n_full_batches):
+            batched_args = create_batched_args__(
+                args=args,
+                in_axes=in_axes,
+                start=start,
+                end=end,
+            )
+            yield (f(*batched_args), 0)
+            start += batch_size_new
+            end += batch_size_new
+
+        if pad_last:
+            batched_args = create_batched_args__(
+                args=args,
+                in_axes=in_axes,
+                start=start,
+                end=dim,
+                n_pad=n_pad,
+            )
+            yield (f(*batched_args), n_pad)
+
+    return internal
+
+
+def batch_all(f, batch_size: int, in_axes):
+    f_batch = batch(f, batch_size, in_axes)
+
+    def internal(*args):
+        outs = tuple(out for out in f_batch(*args))
+        return tuple(out[0] for out in outs), outs[-1][-1]
+
+    return internal

confirm/confirm/lewislib/grid.py

@@ -0,0 +1,23 @@
+import numpy as np
+import pyimprint.grid as pygrid
+
+
+def make_cartesian_grid_range(size, lower, upper):
+    assert lower.shape[0] == upper.shape[0]
+
+    # make initial 1d grid
+    center_grids = (
+        pygrid.Gridder.make_grid(size, lower[i], upper[i]) for i in range(len(lower))
+    )
+
+    # make a grid of centers
+    coords = np.meshgrid(*center_grids)
+    centers = np.concatenate([c.flatten().reshape(-1, 1) for c in coords], axis=1)
+
+    # make corresponding radius
+    radius = np.array(
+        [pygrid.Gridder.radius(size, lower[i], upper[i]) for i in range(len(lower))]
+    )
+    radii = np.full(shape=centers.shape, fill_value=radius)
+
+    return centers, radii