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Issue #1587: remove redundant magenta color block in spike prime's toolboxes
- reassign robots position in simulation when position (and obstacles) is imported and simulation is closed and reopened - add small changes from blockly
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‎OpenRobertaServer/staticResources/blockly/msg/js/ar.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/az.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/ba.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/bcc.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/be-tarask.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/be.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "не";

‎OpenRobertaServer/staticResources/blockly/msg/js/bg.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/bn.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/br.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/ca.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no";

‎OpenRobertaServer/staticResources/blockly/msg/js/cs.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "ne";

‎OpenRobertaServer/staticResources/blockly/msg/js/da.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "nej";

‎OpenRobertaServer/staticResources/blockly/msg/js/de.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -839,7 +839,7 @@ Blockly.Msg.MENU_TOOLBOX_EXPERT = "NEPO-Blöcke Experte";
839839
Blockly.Msg.MENU_TUTORIAL = "Tutorials";
840840
Blockly.Msg.MENU_TUTORIAL_TOOLTIP = "Tutorials";
841841
Blockly.Msg.MENU_USER = "Anmelden";
842-
Blockly.Msg.MENU_USERGROUP_LOG_IN = "Bei Gruppe anmelden ...";
842+
Blockly.Msg.MENU_USERGROUP_LOG_IN = "bei Gruppe anmelden ...";
843843
Blockly.Msg.MENU_USER_STATE_TOOLTIP = "Benutzer Infos";
844844
Blockly.Msg.MENU_USER_TOOLTIP = "Benutzer";
845845
Blockly.Msg.MENU_WLAN_CREDENTIALS = "WLAN Zugangsdaten";
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "Mache einen NN Schritt";
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "Hole die Werte für die Input-Neuronen, führe einen Schritt im neuronalen Netzwerk aus und erzeuge die Werte der Output-Neuronen.";
11661166
Blockly.Msg.NN_TARGET = "nach";
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "$ Test-/Trainingsdatensätze hochgeladen";
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "Testdaten";
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "Trainings-Daten";
11681170
Blockly.Msg.NN_USED_NEURONNAME = "Name des Neurons bereits benutzt";
11691171
Blockly.Msg.NN_WEIGHT = "Gewicht";
11701172
Blockly.Msg.NO = "nein";

‎OpenRobertaServer/staticResources/blockly/msg/js/el.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation"; // untranslated
11111111
Blockly.Msg.NN_BIAS = "bias"; // untranslated
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron"; // untranslated
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name"; // untranslated
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change"; // untranslated
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking"; // untranslated
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias"; // untranslated
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking"; // untranslated
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias"; // untranslated
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step"; // untranslated
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons"; // untranslated
11661166
Blockly.Msg.NN_TARGET = "to"; // untranslated
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements"; // untranslated
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data"; // untranslated
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data"; // untranslated
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use"; // untranslated
11691171
Blockly.Msg.NN_WEIGHT = "weight"; // untranslated
11701172
Blockly.Msg.NO = "no"; // untranslated

‎OpenRobertaServer/staticResources/blockly/msg/js/en.js

+3-1
Original file line numberDiff line numberDiff line change
@@ -1111,7 +1111,7 @@ Blockly.Msg.NN_ACTIVATION = "activation";
11111111
Blockly.Msg.NN_BIAS = "bias";
11121112
Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron";
11131113
Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name";
1114-
Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change";
1114+
Blockly.Msg.NN_CLICK_NODE = "select node by clicking";
11151115
Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias";
11161116
Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking";
11171117
Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias";
@@ -1165,6 +1165,8 @@ Blockly.Msg.NN_STEP = "make one NN step";
11651165
Blockly.Msg.NN_STEP_TOOLTIP = "retrieve inputs values, execute one step in a neural network, generate values of the output neurons";
11661166
Blockly.Msg.NN_TARGET = "to";
11671167
Blockly.Msg.NN_TEST_TRAIN_DATA_UPLOAD_SUCCESS = "Uploaded $ test/training data statements";
1168+
Blockly.Msg.NN_TITLE_TEST_DATA = "test data";
1169+
Blockly.Msg.NN_TITLE_TRAINING_DATA = "training data";
11681170
Blockly.Msg.NN_USED_NEURONNAME = "neuron name in use";
11691171
Blockly.Msg.NN_WEIGHT = "weight";
11701172
Blockly.Msg.NO = "no";

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