2021-02-05 17:12:51 +00:00
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{ lib, buildPythonPackage, fetchPypi, isPy27
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2020-04-24 23:36:52 +00:00
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, entrypoints
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, glibcLocales
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, ipython
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, jinja2
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, jsonschema
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, numpy
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, pandas
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2022-02-10 20:34:41 +00:00
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, pytestCheckHook
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2020-04-24 23:36:52 +00:00
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, pythonOlder
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, recommonmark
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, six
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, sphinx
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, toolz
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2021-04-26 19:14:03 +00:00
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, typing ? null
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2020-04-24 23:36:52 +00:00
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, vega_datasets
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}:
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buildPythonPackage rec {
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pname = "altair";
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2022-02-10 20:34:41 +00:00
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version = "4.2.0";
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2020-04-24 23:36:52 +00:00
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disabled = isPy27;
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src = fetchPypi {
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inherit pname version;
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2022-02-10 20:34:41 +00:00
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sha256 = "d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026";
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2020-04-24 23:36:52 +00:00
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};
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propagatedBuildInputs = [
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entrypoints
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jsonschema
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numpy
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pandas
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six
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toolz
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2021-03-23 19:22:30 +00:00
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jinja2
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2021-02-05 17:12:51 +00:00
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] ++ lib.optionals (pythonOlder "3.5") [ typing ];
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2020-04-24 23:36:52 +00:00
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checkInputs = [
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glibcLocales
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ipython
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2022-02-10 20:34:41 +00:00
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pytestCheckHook
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2020-04-24 23:36:52 +00:00
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recommonmark
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sphinx
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vega_datasets
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];
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2021-03-23 19:22:30 +00:00
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pythonImportsCheck = [ "altair" ];
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2022-02-10 20:34:41 +00:00
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# avoid examples directory, which fetches web resources
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preCheck = ''
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cd altair/tests
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2020-04-24 23:36:52 +00:00
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'';
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2021-01-15 22:18:51 +00:00
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meta = with lib; {
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2020-04-24 23:36:52 +00:00
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description = "A declarative statistical visualization library for Python.";
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homepage = "https://github.com/altair-viz/altair";
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license = licenses.bsd3;
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maintainers = with maintainers; [ teh ];
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platforms = platforms.unix;
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};
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}
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