Issue #1617, #1625: add fixed messages from blockly

OpenRoberta · Feb 14, 2024 · df4ba10 · df4ba10
1 parent 99acb9d
commit df4ba10
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Showing 71 changed files with 330 additions and 330 deletions.
diff --git a/OpenRobertaServer/staticResources/blockly/msg/js/ar.js b/OpenRobertaServer/staticResources/blockly/msg/js/ar.js
@@ -1112,7 +1112,7 @@ Blockly.Msg.NN_BIAS = "bias";  // untranslated
 Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron";  // untranslated
 Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name";  // untranslated
 Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change";  // untranslated
-Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "change by clicking on weight or bias";  // untranslated
+Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking";  // untranslated
 Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_RESET_VALUES = "Reset neuron output values";  // untranslated
@@ -1121,7 +1121,7 @@ Blockly.Msg.NN_EXPLORE_RUN_LAYER = "Run forward propagation layer by layer";  //
 Blockly.Msg.NN_EXPLORE_RUN_NEURON = "Run forward propagation neuron by neuron";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_NEXT_NEURON = "next neuron";  // untranslated
-Blockly.Msg.NN_FOCUS_OPTION = "show/change the weight/bias";  // untranslated
+Blockly.Msg.NN_FOCUS_OPTION = "show and change";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_FROM = "from";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_TO = "to";  // untranslated
 Blockly.Msg.NN_GET_BIAS = "get bias";  // untranslated
@@ -1149,16 +1149,16 @@ Blockly.Msg.NN_LEARN_TRAINING_LOSS = "Training loss";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD = "Upload test/training data file (semicolon separated data accepted)";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD_POPUP = "Open a popup window and enter input-output test/training data";  // untranslated
 Blockly.Msg.NN_OUTPUT_NEURON = "output neuron";  // untranslated
-Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random weights & biases";  // untranslated
+Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random vals";  // untranslated
 Blockly.Msg.NN_REGULARIZATION = "regularization";  // untranslated
 Blockly.Msg.NN_SET_BIAS = "set bias";  // untranslated
 Blockly.Msg.NN_SET_BIAS_TOOLTIP = "change the bias of a neuron.";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE = "set value input neuron";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE_TOOLTIP = "set the value of an input neuron for the next step of the neural network.";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT = "set weight from";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT_TOOLTIP = "change the weight between two neurons.";  // untranslated
-Blockly.Msg.NN_SHAPE = "shape of neural network";  // untranslated
-Blockly.Msg.NN_SHOW_ALL = "show all, change by clicking";  // untranslated
+Blockly.Msg.NN_SHAPE = "shape";  // untranslated
+Blockly.Msg.NN_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_SHOW_MATH = "computation of neuron";  // untranslated
 Blockly.Msg.NN_SHOW_PRECISION = "decimal places";  // untranslated
 Blockly.Msg.NN_STEP = "make one NN step";  // untranslated

diff --git a/OpenRobertaServer/staticResources/blockly/msg/js/az.js b/OpenRobertaServer/staticResources/blockly/msg/js/az.js
@@ -1112,7 +1112,7 @@ Blockly.Msg.NN_BIAS = "bias";  // untranslated
 Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron";  // untranslated
 Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name";  // untranslated
 Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change";  // untranslated
-Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "change by clicking on weight or bias";  // untranslated
+Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking";  // untranslated
 Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_RESET_VALUES = "Reset neuron output values";  // untranslated
@@ -1121,7 +1121,7 @@ Blockly.Msg.NN_EXPLORE_RUN_LAYER = "Run forward propagation layer by layer";  //
 Blockly.Msg.NN_EXPLORE_RUN_NEURON = "Run forward propagation neuron by neuron";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_NEXT_NEURON = "next neuron";  // untranslated
-Blockly.Msg.NN_FOCUS_OPTION = "show/change the weight/bias";  // untranslated
+Blockly.Msg.NN_FOCUS_OPTION = "show and change";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_FROM = "from";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_TO = "to";  // untranslated
 Blockly.Msg.NN_GET_BIAS = "get bias";  // untranslated
@@ -1149,16 +1149,16 @@ Blockly.Msg.NN_LEARN_TRAINING_LOSS = "Training loss";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD = "Upload test/training data file (semicolon separated data accepted)";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD_POPUP = "Open a popup window and enter input-output test/training data";  // untranslated
 Blockly.Msg.NN_OUTPUT_NEURON = "output neuron";  // untranslated
-Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random weights & biases";  // untranslated
+Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random vals";  // untranslated
 Blockly.Msg.NN_REGULARIZATION = "regularization";  // untranslated
 Blockly.Msg.NN_SET_BIAS = "set bias";  // untranslated
 Blockly.Msg.NN_SET_BIAS_TOOLTIP = "change the bias of a neuron.";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE = "set value input neuron";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE_TOOLTIP = "set the value of an input neuron for the next step of the neural network.";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT = "set weight from";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT_TOOLTIP = "change the weight between two neurons.";  // untranslated
-Blockly.Msg.NN_SHAPE = "shape of neural network";  // untranslated
-Blockly.Msg.NN_SHOW_ALL = "show all, change by clicking";  // untranslated
+Blockly.Msg.NN_SHAPE = "shape";  // untranslated
+Blockly.Msg.NN_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_SHOW_MATH = "computation of neuron";  // untranslated
 Blockly.Msg.NN_SHOW_PRECISION = "decimal places";  // untranslated
 Blockly.Msg.NN_STEP = "make one NN step";  // untranslated

diff --git a/OpenRobertaServer/staticResources/blockly/msg/js/ba.js b/OpenRobertaServer/staticResources/blockly/msg/js/ba.js
@@ -1112,7 +1112,7 @@ Blockly.Msg.NN_BIAS = "bias";  // untranslated
 Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron";  // untranslated
 Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name";  // untranslated
 Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change";  // untranslated
-Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "change by clicking on weight or bias";  // untranslated
+Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking";  // untranslated
 Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_RESET_VALUES = "Reset neuron output values";  // untranslated
@@ -1121,7 +1121,7 @@ Blockly.Msg.NN_EXPLORE_RUN_LAYER = "Run forward propagation layer by layer";  //
 Blockly.Msg.NN_EXPLORE_RUN_NEURON = "Run forward propagation neuron by neuron";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_NEXT_NEURON = "next neuron";  // untranslated
-Blockly.Msg.NN_FOCUS_OPTION = "show/change the weight/bias";  // untranslated
+Blockly.Msg.NN_FOCUS_OPTION = "show and change";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_FROM = "from";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_TO = "to";  // untranslated
 Blockly.Msg.NN_GET_BIAS = "get bias";  // untranslated
@@ -1149,16 +1149,16 @@ Blockly.Msg.NN_LEARN_TRAINING_LOSS = "Training loss";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD = "Upload test/training data file (semicolon separated data accepted)";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD_POPUP = "Open a popup window and enter input-output test/training data";  // untranslated
 Blockly.Msg.NN_OUTPUT_NEURON = "output neuron";  // untranslated
-Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random weights & biases";  // untranslated
+Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random vals";  // untranslated
 Blockly.Msg.NN_REGULARIZATION = "regularization";  // untranslated
 Blockly.Msg.NN_SET_BIAS = "set bias";  // untranslated
 Blockly.Msg.NN_SET_BIAS_TOOLTIP = "change the bias of a neuron.";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE = "set value input neuron";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE_TOOLTIP = "set the value of an input neuron for the next step of the neural network.";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT = "set weight from";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT_TOOLTIP = "change the weight between two neurons.";  // untranslated
-Blockly.Msg.NN_SHAPE = "shape of neural network";  // untranslated
-Blockly.Msg.NN_SHOW_ALL = "show all, change by clicking";  // untranslated
+Blockly.Msg.NN_SHAPE = "shape";  // untranslated
+Blockly.Msg.NN_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_SHOW_MATH = "computation of neuron";  // untranslated
 Blockly.Msg.NN_SHOW_PRECISION = "decimal places";  // untranslated
 Blockly.Msg.NN_STEP = "make one NN step";  // untranslated

diff --git a/OpenRobertaServer/staticResources/blockly/msg/js/bcc.js b/OpenRobertaServer/staticResources/blockly/msg/js/bcc.js
@@ -1112,7 +1112,7 @@ Blockly.Msg.NN_BIAS = "bias";  // untranslated
 Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron";  // untranslated
 Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name";  // untranslated
 Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change";  // untranslated
-Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "change by clicking on weight or bias";  // untranslated
+Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking";  // untranslated
 Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_RESET_VALUES = "Reset neuron output values";  // untranslated
@@ -1121,7 +1121,7 @@ Blockly.Msg.NN_EXPLORE_RUN_LAYER = "Run forward propagation layer by layer";  //
 Blockly.Msg.NN_EXPLORE_RUN_NEURON = "Run forward propagation neuron by neuron";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_NEXT_NEURON = "next neuron";  // untranslated
-Blockly.Msg.NN_FOCUS_OPTION = "show/change the weight/bias";  // untranslated
+Blockly.Msg.NN_FOCUS_OPTION = "show and change";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_FROM = "from";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_TO = "to";  // untranslated
 Blockly.Msg.NN_GET_BIAS = "get bias";  // untranslated
@@ -1149,16 +1149,16 @@ Blockly.Msg.NN_LEARN_TRAINING_LOSS = "Training loss";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD = "Upload test/training data file (semicolon separated data accepted)";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD_POPUP = "Open a popup window and enter input-output test/training data";  // untranslated
 Blockly.Msg.NN_OUTPUT_NEURON = "output neuron";  // untranslated
-Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random weights & biases";  // untranslated
+Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random vals";  // untranslated
 Blockly.Msg.NN_REGULARIZATION = "regularization";  // untranslated
 Blockly.Msg.NN_SET_BIAS = "set bias";  // untranslated
 Blockly.Msg.NN_SET_BIAS_TOOLTIP = "change the bias of a neuron.";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE = "set value input neuron";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE_TOOLTIP = "set the value of an input neuron for the next step of the neural network.";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT = "set weight from";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT_TOOLTIP = "change the weight between two neurons.";  // untranslated
-Blockly.Msg.NN_SHAPE = "shape of neural network";  // untranslated
-Blockly.Msg.NN_SHOW_ALL = "show all, change by clicking";  // untranslated
+Blockly.Msg.NN_SHAPE = "shape";  // untranslated
+Blockly.Msg.NN_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_SHOW_MATH = "computation of neuron";  // untranslated
 Blockly.Msg.NN_SHOW_PRECISION = "decimal places";  // untranslated
 Blockly.Msg.NN_STEP = "make one NN step";  // untranslated

diff --git a/OpenRobertaServer/staticResources/blockly/msg/js/be-tarask.js b/OpenRobertaServer/staticResources/blockly/msg/js/be-tarask.js
@@ -1112,7 +1112,7 @@ Blockly.Msg.NN_BIAS = "bias";  // untranslated
 Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron";  // untranslated
 Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name";  // untranslated
 Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change";  // untranslated
-Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "change by clicking on weight or bias";  // untranslated
+Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking";  // untranslated
 Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_RESET_VALUES = "Reset neuron output values";  // untranslated
@@ -1121,7 +1121,7 @@ Blockly.Msg.NN_EXPLORE_RUN_LAYER = "Run forward propagation layer by layer";  //
 Blockly.Msg.NN_EXPLORE_RUN_NEURON = "Run forward propagation neuron by neuron";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_NEXT_NEURON = "next neuron";  // untranslated
-Blockly.Msg.NN_FOCUS_OPTION = "show/change the weight/bias";  // untranslated
+Blockly.Msg.NN_FOCUS_OPTION = "show and change";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_FROM = "from";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_TO = "to";  // untranslated
 Blockly.Msg.NN_GET_BIAS = "get bias";  // untranslated
@@ -1149,16 +1149,16 @@ Blockly.Msg.NN_LEARN_TRAINING_LOSS = "Training loss";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD = "Upload test/training data file (semicolon separated data accepted)";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD_POPUP = "Open a popup window and enter input-output test/training data";  // untranslated
 Blockly.Msg.NN_OUTPUT_NEURON = "output neuron";  // untranslated
-Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random weights & biases";  // untranslated
+Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random vals";  // untranslated
 Blockly.Msg.NN_REGULARIZATION = "regularization";  // untranslated
 Blockly.Msg.NN_SET_BIAS = "set bias";  // untranslated
 Blockly.Msg.NN_SET_BIAS_TOOLTIP = "change the bias of a neuron.";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE = "set value input neuron";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE_TOOLTIP = "set the value of an input neuron for the next step of the neural network.";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT = "set weight from";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT_TOOLTIP = "change the weight between two neurons.";  // untranslated
-Blockly.Msg.NN_SHAPE = "shape of neural network";  // untranslated
-Blockly.Msg.NN_SHOW_ALL = "show all, change by clicking";  // untranslated
+Blockly.Msg.NN_SHAPE = "shape";  // untranslated
+Blockly.Msg.NN_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_SHOW_MATH = "computation of neuron";  // untranslated
 Blockly.Msg.NN_SHOW_PRECISION = "decimal places";  // untranslated
 Blockly.Msg.NN_STEP = "make one NN step";  // untranslated

diff --git a/OpenRobertaServer/staticResources/blockly/msg/js/be.js b/OpenRobertaServer/staticResources/blockly/msg/js/be.js
@@ -1112,7 +1112,7 @@ Blockly.Msg.NN_BIAS = "bias";  // untranslated
 Blockly.Msg.NN_CHANGE_INPUT_NEURON_VALUE = "type input value for neuron";  // untranslated
 Blockly.Msg.NN_CHANGE_NEURONNAME = "type new neuron name";  // untranslated
 Blockly.Msg.NN_CLICK_NODE = "select node by clicking, then change";  // untranslated
-Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "change by clicking on weight or bias";  // untranslated
+Blockly.Msg.NN_CLICK_WEIGHT_BIAS = "click weight or bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_CLICK_NODE = "select node by clicking";  // untranslated
 Blockly.Msg.NN_EXPLORE_FOCUS_OPTION = "show the weight/bias";  // untranslated
 Blockly.Msg.NN_EXPLORE_RESET_VALUES = "Reset neuron output values";  // untranslated
@@ -1121,7 +1121,7 @@ Blockly.Msg.NN_EXPLORE_RUN_LAYER = "Run forward propagation layer by layer";  //
 Blockly.Msg.NN_EXPLORE_RUN_NEURON = "Run forward propagation neuron by neuron";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_EXPLORE_SHOW_NEXT_NEURON = "next neuron";  // untranslated
-Blockly.Msg.NN_FOCUS_OPTION = "show/change the weight/bias";  // untranslated
+Blockly.Msg.NN_FOCUS_OPTION = "show and change";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_FROM = "from";  // untranslated
 Blockly.Msg.NN_GENERATE_VALUES_TO = "to";  // untranslated
 Blockly.Msg.NN_GET_BIAS = "get bias";  // untranslated
@@ -1149,16 +1149,16 @@ Blockly.Msg.NN_LEARN_TRAINING_LOSS = "Training loss";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD = "Upload test/training data file (semicolon separated data accepted)";  // untranslated
 Blockly.Msg.NN_LEARN_UPLOAD_POPUP = "Open a popup window and enter input-output test/training data";  // untranslated
 Blockly.Msg.NN_OUTPUT_NEURON = "output neuron";  // untranslated
-Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random weights & biases";  // untranslated
+Blockly.Msg.NN_RANDOM_WEIGHTS_BIASES = "random vals";  // untranslated
 Blockly.Msg.NN_REGULARIZATION = "regularization";  // untranslated
 Blockly.Msg.NN_SET_BIAS = "set bias";  // untranslated
 Blockly.Msg.NN_SET_BIAS_TOOLTIP = "change the bias of a neuron.";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE = "set value input neuron";  // untranslated
 Blockly.Msg.NN_SET_INPUT_NEURON_VALUE_TOOLTIP = "set the value of an input neuron for the next step of the neural network.";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT = "set weight from";  // untranslated
 Blockly.Msg.NN_SET_WEIGHT_TOOLTIP = "change the weight between two neurons.";  // untranslated
-Blockly.Msg.NN_SHAPE = "shape of neural network";  // untranslated
-Blockly.Msg.NN_SHOW_ALL = "show all, change by clicking";  // untranslated
+Blockly.Msg.NN_SHAPE = "shape";  // untranslated
+Blockly.Msg.NN_SHOW_ALL = "show all";  // untranslated
 Blockly.Msg.NN_SHOW_MATH = "computation of neuron";  // untranslated
 Blockly.Msg.NN_SHOW_PRECISION = "decimal places";  // untranslated
 Blockly.Msg.NN_STEP = "make one NN step";  // untranslated