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        "description": "\n[![pipeline status](https://gitlab.com/peakbreaker/MockQuerPy/badges/master/pipeline.svg)](https://gitlab.com/peakbreaker/MockQuerPy/commits/master)\n[![coverage report](https://gitlab.com/peakbreaker/MockQuerPy/badges/master/coverage.svg)](https://gitlab.com/peakbreaker/MockQuerPy/commits/master)\n\n## MockQuerPy\n\nThis project implements a mocking library for quick and easy testing of google\nbigquery based python projects\n\n![bigquery](./bigquery.png)\n\n### Getting started\n\nInstructions on getting a local developement copy on your machine\n\n#### Using the Lib in your project\n\n**Basic use:**\n\n1. `$ pip install mockquerpy`\n2. Use either the context manager or decorator in your tests:\n\n```python\nfrom mockquerpy import MockQuerPy, mockquerpy_wrap\n\nwith MockQuerPy(TEST_DATA) as bigquery:\n    print('bigquery inside here is a mockobject')\n\n@mockquerpy_wrap\ndef test_my_bq_implementation(bigquery):\n    print('bigquery inside here is a mockobject')\n    MockQuerPy.set_test_data(MY_TEST_DATA)\n```\n\nSee the project [documentation](#) for more // TODO\n\n#### Developing the library\n\n##### Prereq\n- Python 3.7 or higher\n\n##### Instructions\n\n**Developing the library**:\n1. Set up a python virtualenv `$ virtualenv venv && source venv/bin/activate`\n2. Install the dependencies `$ pip install -r requirements.txt`\n\n### Testing\n\nProject is being tested using the pytest framework. This is also added to the\nCI pipeline.\n\n`$ pytest .`\n\n### Deploying\n\nDeployment is and should be handled by the CD pipeline to the project, but can\nbe done manually:\n\n\n",
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