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        "author": "Ulysse Carion",
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        "description": "# jddf-python [![PyPI version](https://badge.fury.io/py/jddf.svg)](https://badge.fury.io/py/jddf)\n\n> Documentation on readthedocs.io: https://jddf.readthedocs.io\n\nThis package is a Python implementation of [JSON Data Definition Format][jddf],\na schema language for JSON.\n\n[jddf]: https://jddf.io\n\n## Installation\n\nInstall this package using:\n\n```bash\npip3 install jddf\n```\n\n## Usage\n\nBriefly, here's how you would use this package:\n\n```python\nimport Schema, Validator from jddf\nimport json\n\n# jddf.Schema represents a JDDF Schema.\n#\n# You can parse a jddf.Schema from JSON using Schema.from_json in combination\n# with the standard library's json module.\nschema = Schema.from_json(json.loads(\"\"\"\n  {\n    \"properties\": {\n      \"name\": { \"type\": \"string\" },\n      \"age\": { \"type\": \"uint32\" },\n      \"phones\": {\n        \"elements\": { \"type\": \"string\" }\n      }\n    }\n  }\n\"\"\"))\n\n# jddf.Validator validates inputted data against schemas, and returns a list of\n# validation errors.\n#\n# The exact data in validation errors is part of the JDDF specification, so\n# every implementation of JDDF, across all languages, return the same sort of\n# validation errors.\nvalidator = Validator()\n\n# This input is ok -- it passes all of the rules of the schema. So no validation\n# errors are returned.\nerrors_ok = validator.validate(schema, json.loads(\"\"\"\n  {\n    \"name\": \"John Doe\",\n    \"age\": 43,\n    \"phones\": [\"+44 1234567\", \"+44 2345678\"]\n  }\n\"\"\"))\n\nprint(errors_ok) # []\n\n# This input has three problems, so three validation errors are returned.\nerrors_bad = validator.validate(schema, json.loads(\"\"\"\n  {\n    \"age\": \"43\",\n    \"phones\": [\"+44 1234567\", 442345678]\n  }\n\"\"\"))\n\nprint(len(errors_bad)) # 3\n\n# \"name\" is required\n#\n# [{'instance_path': [], 'schema_path': ['properties', 'name']}]\nprint(errors_bad[0])\n\n# \"age\" has wrong type\n#\n# [{'instance_path': ['age'], 'schema_path': ['properties', 'age', 'type']}]\nprint(errors_bad[1])\n\n# \"phones[1]\" has wrong type\n#\n# [{'instance_path': ['phones', '1'], 'schema_path': ['properties', 'phones', 'elements', 'type']}]\nprint(errors_bad[2])\n```",
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