🎉 The title of the blocks is editable by clicking on it.

README.md

@@ -1,13 +1,15 @@
 # OpenCodeBlocks
 
+[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md)
 [![Pytest badge](https://github.com/MathisFederico/OpenCodeBlocks/actions/workflows/python-tests.yml/badge.svg?branch=master)](https://github.com/MathisFederico/OpenCodeBlocks/actions/workflows/python-tests.yml)
 [![Codacy Badge](https://app.codacy.com/project/badge/Grade/ddd03302fd7c4849b452959753bc0939)](https://www.codacy.com/gh/MathisFederico/OpenCodeBlocks/dashboard?utm_source=github.com&utm_medium=referral&utm_content=MathisFederico/OpenCodeBlocks&utm_campaign=Badge_Grade)
-[![Pylint badge](https://img.shields.io/endpoint?url=https%3A%2F%2Fgist.githubusercontent.com%2FMathisFederico%2F00ce73155619a4544884ca6d251954b3%2Fraw%2Fopencodeblocks_pylint_badge.json)](https://github.com/MathisFederico/OpenCodeBlocks/actions/workflows/python-pylint.yml)
 [![Total coverage Codacy Badge](https://app.codacy.com/project/badge/Coverage/ddd03302fd7c4849b452959753bc0939)](https://www.codacy.com/gh/MathisFederico/OpenCodeBlocks/dashboard?utm_source=github.com&utm_medium=referral&utm_content=MathisFederico/OpenCodeBlocks&utm_campaign=Badge_Coverage)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Pylint badge](https://img.shields.io/endpoint?url=https%3A%2F%2Fgist.githubusercontent.com%2FMathisFederico%2F00ce73155619a4544884ca6d251954b3%2Fraw%2Fopencodeblocks_pylint_badge.json)](https://github.com/MathisFederico/OpenCodeBlocks/actions/workflows/python-pylint.yml)
 [![Unit coverage badge](https://img.shields.io/endpoint?url=https%3A%2F%2Fgist.githubusercontent.com%2FMathisFederico%2F00ce73155619a4544884ca6d251954b3%2Fraw%2Fopencodeblocks_unit_coverage_badge.json)](https://github.com/MathisFederico/OpenCodeBlocks/actions/workflows/python-coverage.yml)
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-[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md)
+
 
 OpenCodeBlocks is an open-source tool for modular visual programing in python.
 

examples/mnist.ipyg

@@ -64,14 +64,14 @@
             "stdout": "<img>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\n",
             "splitter_pos": [
                 0,
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+                286
             ],
             "position": [
                 2330.066406249998,
                 -595.3554687499998
             ],
-            "width": 301,
-            "height": 333,
+            "width": 317,
+            "height": 341,
             "metadata": {
                 "title_metadata": {
                     "color": "white",
@@ -145,15 +145,15 @@
             "source": "from tensorflow.keras.datasets import mnist\r\n(x_train, y_train), (x_test, y_test) = mnist.load_data()\r\n",
             "stdout": "",
             "splitter_pos": [
-                86,
+                148,
                 0
             ],
             "position": [
                 -877.3242187500001,
                 -354.52734375000006
             ],
-            "width": 850,
-            "height": 141,
+            "width": 785,
+            "height": 203,
             "metadata": {
                 "title_metadata": {
                     "color": "white",
@@ -167,7 +167,7 @@
                     "id": 2443478910728,
                     "type": "output",
                     "position": [
-                        850.0,
+                        785.0,
                         42.0
                     ],
                     "metadata": {
@@ -186,15 +186,15 @@
             "source": "x_train = x_train.astype('float32') / 255.0\r\nx_test = x_test.astype('float32') / 255.0\r\n\r\nx_train = x_train.reshape(x_train.shape[0], 28, 28, 1)\r\nx_test = x_test.reshape(x_test.shape[0], 28, 28, 1)\r\n\r\nprint('train:', x_train.shape, '|test:', x_test.shape)\r\n",
             "stdout": "train: (60000, 28, 28, 1) |test: (10000, 28, 28, 1)\n",
             "splitter_pos": [
-                206,
-                85
+                85,
+                174
             ],
             "position": [
                 44.48828125000068,
                 -370.21484374999983
             ],
-            "width": 855,
-            "height": 346,
+            "width": 803,
+            "height": 314,
             "metadata": {
                 "title_metadata": {
                     "color": "white",
@@ -222,7 +222,7 @@
                     "id": 2443478983880,
                     "type": "output",
                     "position": [
-                        855.0,
+                        803.0,
                         42.0
                     ],
                     "metadata": {
@@ -283,14 +283,14 @@
             "stdout": "<img>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\n",
             "splitter_pos": [
                 0,
-                274
+                278
             ],
             "position": [
-                103.60937500000011,
-                -734.9375
+                104.60937500000011,
+                -717.9375
             ],
-            "width": 300,
-            "height": 329,
+            "width": 321,
+            "height": 333,
             "metadata": {
                 "title_metadata": {
                     "color": "white",

opencodeblocks/__init__.py

@@ -4,6 +4,6 @@
 
 """ OpenCodeBlocks: An open-source tool for modular visual programing in python """
 
-__appname__ = 'OpenCodeBlocks'
-__author__ = 'Mathïs Fédérico'
-__version__ = '0.0.1'
+__appname__ = "OpenCodeBlocks"
+__author__ = "Mathïs Fédérico"
+__version__ = "0.0.1"

opencodeblocks/__main__.py

@@ -9,13 +9,13 @@
     asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
 
 from qtpy.QtWidgets import QApplication
-from opencodeblocks.graphics.window import OCBWindow
+from opencodeblocks.window import OCBWindow
 
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     app = QApplication(sys.argv)
-    app.setStyle('Fusion')
+    app.setStyle("Fusion")
     wnd = OCBWindow()
     if len(sys.argv) > 1:
         wnd.createNewMdiChild(sys.argv[1])

opencodeblocks/graphics/blocks/__init__.py → opencodeblocks/blocks/__init__.py

@@ -3,10 +3,7 @@
 
 """ Module for the OCB Blocks of different types. """
 
-from opencodeblocks.graphics.blocks.block import OCBBlock
-from opencodeblocks.graphics.blocks.codeblock import OCBCodeBlock
+from opencodeblocks.blocks.block import OCBBlock
+from opencodeblocks.blocks.codeblock import OCBCodeBlock
 
-BLOCKS = {
-    'base': OCBBlock,
-    'code': OCBCodeBlock
-}
+BLOCKS = {"base": OCBBlock, "code": OCBCodeBlock}