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How to use test_func_io method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py

...172    in_schema = DataFrameSchema({"column1": Column(int, coerce=True)})173    out_schema = DataFrameSchema({"column2": Column(float, coerce=True)})174    @check_input(in_schema)175    @check_output(out_schema)176    def test_func_io(df):177        return df.assign(column2=10)178    @check_input(in_schema)179    @check_output(out_schema, obj_getter=1)180    def test_func_out_tuple_obj_getter(df):181        return None, df.assign(column2=10)182    @check_input(in_schema)183    @check_output(out_schema, obj_getter=1)184    def test_func_out_list_obj_getter(df):185        return None, df.assign(column2=10)186    @check_input(in_schema)187    @check_output(out_schema, obj_getter="key")188    def test_func_out_dict_obj_getter(df):189        return {"key": df.assign(column2=10)}190    cases: typing.Iterable[...

manualtest.py

Source:manualtest.py

...18        return None19    except Exception as e:20        raise AssertionError(f"Value raised was '{e}' (not private error)")21    raise AssertionError("No value was raised")22def test_func_io(func: Callable[[T], O], arg: T, expect: O) -> None:23    assert func(arg) == expect, f"func({arg=})={func(arg)} != {expect=}"24def try_or_return(func: Callable[[], Optional[Iterable[Exception]]]) -> Callable[[], Optional[Iterable[Exception]]]:25    def wrapped() -> Optional[Iterable[Exception]]:26        try:27            return func()28        except Exception as e:29            return [e]30    return wrapped31@try_or_return32def test_parse_duration() -> Optional[Iterable[Exception]]:33    from lib_goparsers import ParseDurationSuper34    WEEK: Final = 7 * 24 * 60 * 6035    DAY: Final = 24 * 60 * 6036    HOUR: Final = 60 * 6037    MINUTE: Final = 6038    SECOND: Final = 139    tests = (40        [41            # "Real user" tests, general correctness42            ("123", 123),43            ("5minutes", 5 * MINUTE),44            ("45s", 45),45            ("s", 1),46            # Various rejection paths47            ("5monite", None),48            ("sfgdsgf", None),49            ("minutes5", None),50            ("5seconds4", None),51            ("seconds5m", None),52            ("", None),53            ("josh", None),54            ("seconds5seconds", None),55            ("1w1wday", None),56            ("1day2weeks7dam", None),57            # Test all unit names have correct outputs58            ("1w1week1weeks", 3 * WEEK),59            ("1d1day1days", 3 * DAY),60            ("1h1hour1hours", 3 * HOUR),61            ("1m1minute1minutes", 3 * MINUTE),62            ("1s1second1seconds", 3 * SECOND),63            # Test all single unit cases64            ("week", WEEK),65            ("w", WEEK),66            ("day", DAY),67            ("d", DAY),68            ("hour", HOUR),69            ("h", HOUR),70            ("minute", MINUTE),71            ("m", MINUTE),72            ("second", SECOND),73            ("s", SECOND),74            # Test for floating point accuracy75            (f"{(1<<54)+1}m1s", ((1 << 54) + 1) * 60 + 1),76            ("4.5h", 4 * HOUR + 30 * MINUTE),77            ("4.7h", 4 * HOUR + (7 * HOUR // 10)),78            ("3.5d7.3m", 3 * DAY + 12 * HOUR + 7 * MINUTE + (3 * MINUTE // 10)),79            # Test for fp parse rejection80            ("5.6.34seconds", None),81            # Test fractions82            ("3/6days", 12 * HOUR),83            ("1/0", None),84            ("0/0", None),85            ("17/60m", 17 * SECOND),86            ("13/24d1/0w", None),87            (f"{(1<<54)+2}/2d", (((1 << 54) + 2) * DAY) // 2),88            ]89        )90    out = []91    for i in tests:92        try:93            test_func_io(ParseDurationSuper, i[0], i[1])94        except AssertionError as e:95            out.append(e)96    if out: return out97    else:98        return None99@try_or_return100def test_ramfs() -> Optional[Iterable[Exception]]:101    from contextlib import redirect_stdout, redirect_stderr102    sink = io.StringIO()103    # Reroute stderr and stdout to ignore import warnings from main104    with redirect_stdout(sink):105        with redirect_stderr(sink):106            from main import ram_filesystem  # pylint: disable=E0401107    testfs = ram_filesystem()...

main.py

Source:main.py

...16    17### Each of these routines is a test to verify some aspect of the code18#test_func_scaler()19#test_func_pca()20#test_func_io()21#test_func_holistic(10)22#test_func_regressor(31)23### This is an example of a full run of the program:24# - First, we generate a number of datasets with a random distribution25#   of starting points but which use the same reaction rate26number_of_datasets = 10027input_data = test_func_create_dataset_simple_2(number_of_datasets)28# - Next, we select the number of principle components we wish to retain29#   (currently, must be equal to number of species, i.e. no reduction)30n_comp = 331# - Finally, we run the regression example...

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