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PY-15298 Numpy: Type Checker: do not higlight argument equal to default as unexpected type
keyword argument
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@@ -99,8 +99,12 @@ public class PyTypeCheckerInspection extends PyInspection {
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continue;
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}
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if (p.hasDefaultValue()) {
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final PyExpression value = p.getDefaultValue();
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final String keyName = key.getName();
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final PyExpression value = p.getDefaultValue();
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String keyName = key.getName();
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if (key instanceof PyKeywordArgument) {
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final PyExpression valueExpression = ((PyKeywordArgument)key).getValueExpression();
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keyName = valueExpression != null ? valueExpression.getName() : "";
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}
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if (value != null && keyName != null && keyName.equals(value.getName()))
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continue;
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}
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@@ -0,0 +1,59 @@
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def set_printoptions(precision=None, threshold=None, edgeitems=None,
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linewidth=None, suppress=None,
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nanstr=None, infstr=None,
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formatter=None):
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"""
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Set printing options.
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These options determine the way floating point numbers, arrays and
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other NumPy objects are displayed.
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Parameters
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----------
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precision : int, optional
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Number of digits of precision for floating point output (default 8).
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threshold : int, optional
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Total number of array elements which trigger summarization
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rather than full repr (default 1000).
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edgeitems : int, optional
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Number of array items in summary at beginning and end of
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each dimension (default 3).
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linewidth : int, optional
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The number of characters per line for the purpose of inserting
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line breaks (default 75).
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suppress : bool, optional
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Whether or not suppress printing of small floating point values
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using scientific notation (default False).
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nanstr : str, optional
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String representation of floating point not-a-number (default nan).
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infstr : str, optional
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String representation of floating point infinity (default inf).
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formatter : dict of callables, optional
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If not None, the keys should indicate the type(s) that the respective
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formatting function applies to. Callables should return a string.
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Types that are not specified (by their corresponding keys) are handled
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by the default formatters. Individual types for which a formatter
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can be set are::
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- 'bool'
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- 'int'
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- 'timedelta' : a `numpy.timedelta64`
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- 'datetime' : a `numpy.datetime64`
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- 'float'
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- 'longfloat' : 128-bit floats
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- 'complexfloat'
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- 'longcomplexfloat' : composed of two 128-bit floats
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- 'numpy_str' : types `numpy.string_` and `numpy.unicode_`
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- 'str' : all other strings
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Other keys that can be used to set a group of types at once are::
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- 'all' : sets all types
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- 'int_kind' : sets 'int'
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- 'float_kind' : sets 'float' and 'longfloat'
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- 'complex_kind' : sets 'complexfloat' and 'longcomplexfloat'
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- 'str_kind' : sets 'str' and 'numpystr'
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"""
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pass
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set_printoptions(formatter=None)
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@@ -54,6 +54,10 @@ public class PyNumpyTypeTest extends PyTestCase {
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doTest();
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}
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public void testDefaultValueKeyword() {
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doTest();
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}
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public void testSort() {
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doTest();
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}
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