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        "description": "# Shape Commentator\n[![CircleCI](https://circleci.com/gh/shiba6v/shape_commentator.svg?style=svg)](https://circleci.com/gh/shiba6v/shape_commentator)\n\n## About  \nYou can easily add numpy.ndarray.shape, torch.Size, other \"shape\" and type information to your script as comments.\n\n![Sample](https://user-images.githubusercontent.com/13820488/50560224-e656e300-0d41-11e9-90a3-f946cb40ab72.png)\n\nAn article about this tool is here. (in Japanese)\n[NumPy\u3084PyTorch\u3067\u4f7f\u3048\u308b\u8d85\u4fbf\u5229\u30c4\u30fc\u30eb\u3092\u4f5c\u3063\u305f](http://shiba6v.hatenablog.com/entry/shape_commentator_release)\n\n## Getting Started  \n### For Jupyter Notebook User\n[This](https://github.com/shiba6v/jupyter-shape-commentator) is a Jupyter Notebook extension of this tool. It is easier to use!\n\n![use_fig](https://user-images.githubusercontent.com/13820488/61187795-fcf6d300-a6b0-11e9-97c6-4fd029244839.png)\n\n### NumPy\n```bash\npip install shape_commentator numpy\necho -e \"import numpy as np\\na = np.array([1,2,3])\" > src.py\npython -m shape_commentator src.py\ncat src.py.commented.py\n```\n\n```python\nimport numpy as np\na = np.array([1,2,3])  #_ (3,)\n\n```\n\n### PyTorch\n```bash\npip install shape_commentator torch\necho -e \"import torch\\na = torch.tensor([1,2,3])\" > src.py\npython -m shape_commentator src.py\ncat src.py.commented.py\n```\n\n```python\nimport torch\na = torch.tensor([1,2,3])  #_ torch.Size([3])\n\n```\n\n## Table Of Contents\n- [Shape Commentator](#shape-commentator)\n  * [About](#about)\n  * [Getting Started](#getting-started)\n    + [NumPy](#numpy)\n    + [PyTorch](#pytorch)\n  * [Usage](#usage)\n    + [Execute as a Module](#execute-as-a-module)\n      - [Create Commented Script to File](#create-commented-script-to-file)\n      - [Create Commented Script to Standard Output](#create-commented-script-to-standard-output)\n      - [Clear Shape Comment](#clear-shape-comment)\n    + [IPython / Jupyter Notebook](#ipython---jupyter-notebook)\n      - [Create Commented Script](#create-commented-script)\n      - [Clear Shape Comment](#clear-shape-comment-1)\n  * [Tested Python Version](#tested-python-version)\n  * [Development](#development)\n    + [Python Main Version in Development](#python-main-version-in-development)\n    + [Installation](#installation)\n    + [Sample](#sample)\n    + [Test](#test)\n    + [Changing Test Scripts](#changing-test-scripts)\n    + [Try Master Branch](#try-master-branch)\n  * [Further Reading](#further-reading)\n\n## Usage  \n### Execute as a Module\n#### Create Commented Script to File\n1. Run this script as a module with argument of script name.  Command line arguments to the target script are available.\n\n```bash\npython -m shape_commentator src.py [args]\n```\n\n2. You get the commented script. For example, you execute shape_commentator to `src.py`, you get `src.py.commented.py`.  \n\n`src.py`\n```python\nimport numpy as np\na = np.array([1,2,3,4,5,6])\nb = np.array([0,1,2,3,4,5])\nab_h = np.hstack((a,b))\nab_v = np.vstack((a,b))\nab = np.dot(a,b)\nAA, BB = np.meshgrid(a,b)\ni = 1\nf = 1.0\nc = 1 + 1j\ns = \"string1\"\nclass A():\n    pass\na = A()\n```\n\n`src.py.commented.py`\n```python\nimport numpy as np\na = np.array([1,2,3,4,5,6])  #_ (6,)\nb = np.array([0,1,2,3,4,5])  #_ (6,)\nab_h = np.hstack((a,b))  #_ (12,)\nab_v = np.vstack((a,b))  #_ (2, 6)\nab = np.dot(a,b)  #_ ()\nAA, BB = np.meshgrid(a,b)  #_ [(6, 6),(6, 6),]\ni = 1  #_ int\nf = 1.0  #_ float\nc = 1 + 1j  #_ complex\ns = \"string1\"  #_ str\nclass A():\n    pass\na = A()  #_ A\n```\n\n#### Create Commented Script to Standard Output\nBy using `shape_commentator.print_comment` module, you get the commented script in standard output. (Not `src.py.commented.py`)\n```bash\npython -m shape_commentator.print_comment src.py [args]\n```\n\n#### Clear Shape Comment\nBy using `shape_commentator.print_clear` module, you get the uncommented script in standard output.\n```bash\npython -m shape_commentator.print_clear src.py [args]\n```\n\n### Jupyter Notebook  \nJupyter Notebook Extension is [HERE](https://github.com/shiba6v/jupyter-shape-commentator)\n\n### IPython\n#### Create Commented Script\n1. Execute the cell that you want to see shape.  \n2. Run the cell below, and the commented source code will be outputted.  (`In[len(In)-2]` is the source code in the cell that you ran just before.)\n\n```python\nimport shape_commentator\nshape_commentator.comment(In[len(In)-2],globals())\n```  \n![ipython_comment](https://user-images.githubusercontent.com/13820488/50559871-1ac8a000-0d3e-11e9-923e-997f6aac6d68.png)  \n\n#### Clear Shape Comment\n```python\nimport shape_commentator\nshape_commentator.clear(In[len(In)-2])\n```  \n![ipython_clear](https://user-images.githubusercontent.com/13820488/50559879-37fd6e80-0d3e-11e9-8c06-7f6963396dcb.png)  \n\n## Tested Python Version  \nTest script must be written in these version of Python.\n- 3.6.6\n- 3.5.6\n- 3.4.9\n- 2.7.15\n\n## Development  \n### Python Main Version in Development  \n- 3.6.6\n\n### Installation\n```\npip install numpy\nsudo apt install bats\nsh tests/install_for_dev.sh\n```\n\n### Sample\n```\n# Module Mode\npython -m shape_commentator tests/input_scripts/numpy_compute.py\n# Method Mode (Use in IPython / Jupyter Notebook.)\npython tests/comment_method.py tests/input_scripts/numpy_compute.py \n```\n\n### Test  \n```\npython -m doctest shape_commentator/shape_commentator.py\nsh tests/install_for_dev.sh\nbats tests/test_all.bats\npython setup.py develop --uninstall\n```\n\n### Changing Test Scripts\nRemove `remove_tested_scripts` in `tests/test_all.bats` and run `bats tests/test_all.bats`, and you get new test script in `tests/input_scripts/`\n\n### Try Master Branch\nThe package of shape_commentator in TestPyPI is the HEAD of master branch.  \nYou can try newest (but under development) version by running commands below.\n```\npip uninstall -y shape-commentator\npip install --index-url https://test.pypi.org/simple/ shape-commentator\n```",
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