How to use func_wo_doc method in Ddt

Best Python code snippet using ddt_python

test_functional.py

Source:test_functional.py

...179        :param: None180        :return: None181        """182        pass183    def func_wo_doc():184        pass185    class Myint(int):186        pass187    class Mytest(object):188        pass189    d1 = Myint(1)190    d1.__name__ = 'case1'191    d1.__doc__ = """docstring1"""192    d2 = Myint(2)193    d2.__name__ = 'case2'194    data_hello = data(d1, d2, {'test': True})(func_w_doc)195    data_hello2 = data(d1, d2, {'test': True})(func_wo_doc)196    setattr(Mytest, 'first_test', data_hello)197    setattr(Mytest, 'second_test', data_hello2)...

utils.py

Source:utils.py

1import numpy as np2from . import ffi, lib3from .dtypes import _INDEX, lookup_dtype4def libget(name):5    """Helper to get items from GraphBLAS which might be GrB or GxB"""6    try:7        return getattr(lib, name)8    except AttributeError:9        ext_name = f"GxB_{name[4:]}"10        try:11            return getattr(lib, ext_name)12        except AttributeError:13            pass14        raise15def wrapdoc(func_with_doc):16    """Decorator to copy `__doc__` from a function onto the wrapped function"""17    def inner(func_wo_doc):18        func_wo_doc.__doc__ = func_with_doc.__doc__19        return func_wo_doc20    return inner21# Include most common types (even mistakes)22_output_types = {23    int: int,24    float: float,25    list: list,26    slice: slice,27    tuple: tuple,28    np.ndarray: np.ndarray,29    # Mistakes30    object: object,31    type: type,32}33_output_types.update((k, k) for k in np.cast)34def output_type(val):35    try:36        return _output_types[type(val)]37    except KeyError:38        return type(val)39def ints_to_numpy_buffer(array, dtype, *, name="array", copy=False, ownable=False, order="C"):40    if (41        isinstance(array, np.ndarray)42        and not np.issubdtype(array.dtype, np.integer)43        and not np.issubdtype(array.dtype, np.bool8)44    ):45        raise ValueError(f"{name} must be integers, not {array.dtype.name}")46    array = np.array(array, dtype, copy=copy, order=order)47    if ownable and (not array.flags.owndata or not array.flags.writeable):48        array = array.copy(order)49    return array50def _get_subdtype(dtype):51    while dtype.subdtype is not None:52        dtype = dtype.subdtype[0]53    return dtype54def values_to_numpy_buffer(array, dtype=None, *, copy=False, ownable=False, order="C"):55    if dtype is not None:56        dtype = lookup_dtype(dtype)57        array = np.array(array, _get_subdtype(dtype.np_type), copy=copy, order=order)58    else:59        is_input_np = isinstance(array, np.ndarray)60        array = np.array(array, copy=copy, order=order)61        if array.dtype.hasobject:62            raise ValueError("object dtype for values is not allowed")63        if not is_input_np and array.dtype == np.int32:  # pragma: no cover64            # fix for win64 numpy handling of ints65            array = array.astype(np.int64)66        dtype = lookup_dtype(array.dtype)67    if ownable and (not array.flags.owndata or not array.flags.writeable):68        array = array.copy(order)69    return array, dtype70def get_shape(nrows, ncols, dtype=None, **arrays):71    if nrows is None or ncols is None:72        # Get nrows and ncols from the first 2d array73        is_subarray = dtype.np_type.subdtype is not None74        for name, arr in arrays.items():75            if name == "values" and is_subarray:76                # We could be smarter and determine the shape of the dtype sub-arrays77                if arr.ndim >= 3:78                    break79            elif arr.ndim == 2:80                break81        else:82            raise ValueError(83                "Either nrows and ncols must be provided, or one of the following arrays"84                f'must be 2d (from which to get nrows and ncols): {", ".join(arrays)}'85            )86        if nrows is None:87            nrows = arr.shape[0]88        if ncols is None:89            ncols = arr.shape[1]90    return nrows, ncols91class class_property:92    __slots__ = "classval", "member_property"93    def __init__(self, member_property, classval):94        self.classval = classval95        self.member_property = member_property96    def __get__(self, obj, type=None):97        if obj is None:98            return self.classval99        return self.member_property.__get__(obj, type)100    @property101    def __set__(self):102        return self.member_property.__set__103# A similar object may eventually make it to the GraphBLAS spec.104# Hide this from the user for now.105class _CArray:106    __slots__ = "array", "_carg", "dtype", "_name"107    def __init__(self, array=None, dtype=_INDEX, *, size=None, name=None):108        if size is not None:109            self.array = np.empty(size, dtype=dtype.np_type)110        else:111            self.array = np.array(array, dtype=_get_subdtype(dtype.np_type), copy=False, order="C")112        c_type = dtype.c_type if dtype._is_udt else f"{dtype.c_type}*"113        self._carg = ffi.cast(c_type, ffi.from_buffer(self.array))114        self.dtype = dtype115        self._name = name116    @property117    def name(self):118        if self._name is not None:119            return self._name120        if len(self.array) < 20:121            values = ", ".join(map(str, self.array))122        else:123            values = (124                f"{', '.join(map(str, self.array[:5]))}, "125                "..., "126                f"{', '.join(map(str, self.array[-5:]))}"127            )128        return f"({self.dtype.c_type}[]){{{values}}}"129class _Pointer:130    __slots__ = "val"131    def __init__(self, val):132        self.val = val133    @property134    def _carg(self):135        return self.val.gb_obj136    @property137    def name(self):138        name = self.val.name139        if not name:140            c = type(self.val).__name__[0]141            name = f"{'M' if c == 'M' else c.lower()}_temp"142        return f"&{name}"143def _autogenerate_code(144    filename,145    text,146    specializer=None,147    begin="# Begin auto-generated code",148    end="# End auto-generated code",149):150    """Super low-tech auto-code generation used by _automethods.py and _infixmethods.py"""151    with open(filename) as f:152        orig_text = f.read()153    if specializer:154        begin = f"{begin}: {specializer}"155        end = f"{end}: {specializer}"156    begin += "\n"157    end += "\n"158    boundaries = []159    stop = 0160    while True:161        try:162            start = orig_text.index(begin, stop)163            stop = orig_text.index(end, start)164        except ValueError:165            break166        boundaries.append((start, stop))167    new_text = orig_text168    for start, stop in reversed(boundaries):169        new_text = f"{new_text[:start]}{begin}{text}{new_text[stop:]}"170    with open(filename, "w") as f:171        f.write(new_text)172    import subprocess...

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