Behavior driven development in the notebook.

Untitled34.ipynb

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      "source": "    \n    ---\n    ˣ:\n        behave: https://github.com/behave/behave\n        docs: https://pythonhosted.org/behave\n        bdd: https://en.wikipedia.org/wiki/Behavior-driven_development \n        ff: https://cucumber.io/docs/reference",
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      "source": "# Making the notebook `behave`\n\n[`behave`](ˣ.behave) is a python library for [Behavior Driven Development](ˣ.bdd), it seems like a reasonable \ntool for folks to experience writing tests without knowing code.",
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            "text/markdown": "# Making the notebook `behave`\n\n[`behave`](ˣ.behave) is a python library for [Behavior Driven Development](ˣ.bdd), it seems like a reasonable \ntool for folks to experience writing tests without knowing code."
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      "source": "## Feature Files\n\n[Feature files](ˣ.ff) define steps or actions in [behavior driven development](ˣ.bdd).  The \n`feature_file` string below is an example the [`behave` docs](ˣ.docs) \n\n    feature_file = \"\"\"\n    Feature: Showing off behave\n\n      Scenario: Run a simple test\n        Given we have behave installed\n         When we implement 5 tests\n         Then behave will test them for us!\n    \"\"\".strip()",
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            "text/markdown": "## Feature Files\n\n[Feature files](ˣ.ff) define steps or actions in [behavior driven development](ˣ.bdd).  The \n`feature_file` string below is an example the [`behave` docs](ˣ.docs) \n\n    feature_file = \"\"\"\n    Feature: Showing off behave\n\n      Scenario: Run a simple test\n        Given we have behave installed\n         When we implement 5 tests\n         Then behave will test them for us!\n    \"\"\".strip()"
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      "source": "## Pythonic feature descriptions\n\nAgain ripped from [the docs](ˣ.docs), the lines following define features that correspond\nto lines in `feature_file`.\n\n    from behave import given, when, then, step, runner, configuration, parser\n\n    @given('we have behave installed')\n    def step_impl(context):\n        pass\n\n    @when('we implement {number:d} tests')\n    def step_impl(context, number):  # -- NOTE: number is converted into integer\n        assert number > 1 or number == 0\n        context.tests_count = number\n\n    @then('behave will test them for us!')\n    def step_impl(context):\n        assert context.failed is False\n        assert context.tests_count >= 0",
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            "text/markdown": "## Pythonic feature descriptions\n\nAgain ripped from [the docs](ˣ.docs), the lines following define features that correspond\nto lines in `feature_file`.\n\n    from behave import given, when, then, step, runner, configuration, parser\n\n    @given('we have behave installed')\n    def step_impl(context):\n        pass\n\n    @when('we implement {number:d} tests')\n    def step_impl(context, number):  # -- NOTE: number is converted into integer\n        assert number > 1 or number == 0\n        context.tests_count = number\n\n    @then('behave will test them for us!')\n    def step_impl(context):\n        assert context.failed is False\n        assert context.tests_count >= 0"
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      "source": "## Making `behave` work in a running IPython context.\n\nParse the features of `feature_file` using the `behave.parser`\n\n    features = [parser.parse_feature(feature_file)]\n    \nUse the default configuration to initialize our `Runner`\n    \n    config = configuration.Configuration(tuple()) # force the argv values .\n    \n## Run the tests\n\nRun the tests in a running IPython context.\n\n    Runner = runner.ModelRunner(config=config, features=features).run()",
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            "text/markdown": "## Making `behave` work in a running IPython context.\n\nParse the features of `feature_file` using the `behave.parser`\n\n    features = [parser.parse_feature(feature_file)]\n    \nUse the default configuration to initialize our `Runner`\n    \n    config = configuration.Configuration(tuple()) # force the argv values .\n    \n## Run the tests\n\nRun the tests in a running IPython context.\n\n    Runner = runner.ModelRunner(config=config, features=features).run()"
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          "text": "1 feature passed, 0 failed, 0 skipped\n1 scenario passed, 0 failed, 0 skipped\n3 steps passed, 0 failed, 0 skipped, 0 undefined\nTook 0m0.000s\n",
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