Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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228 lines
6.4 KiB
228 lines
6.4 KiB
"""
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Tests for Timestamp parsing, aimed at pandas/_libs/tslibs/parsing.pyx
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"""
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from datetime import datetime
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import re
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from dateutil.parser import parse
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import numpy as np
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import pytest
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from pandas._libs.tslibs import parsing
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from pandas._libs.tslibs.parsing import parse_time_string
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import pandas.util._test_decorators as td
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import pandas._testing as tm
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def test_parse_time_string():
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(parsed, reso) = parse_time_string("4Q1984")
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(parsed_lower, reso_lower) = parse_time_string("4q1984")
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assert reso == reso_lower
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assert parsed == parsed_lower
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def test_parse_time_string_invalid_type():
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# Raise on invalid input, don't just return it
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msg = "Argument 'arg' has incorrect type (expected str, got tuple)"
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with pytest.raises(TypeError, match=re.escape(msg)):
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parse_time_string((4, 5))
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@pytest.mark.parametrize(
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"dashed,normal", [("1988-Q2", "1988Q2"), ("2Q-1988", "2Q1988")]
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)
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def test_parse_time_quarter_with_dash(dashed, normal):
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# see gh-9688
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(parsed_dash, reso_dash) = parse_time_string(dashed)
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(parsed, reso) = parse_time_string(normal)
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assert parsed_dash == parsed
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assert reso_dash == reso
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@pytest.mark.parametrize("dashed", ["-2Q1992", "2-Q1992", "4-4Q1992"])
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def test_parse_time_quarter_with_dash_error(dashed):
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msg = f"Unknown datetime string format, unable to parse: {dashed}"
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with pytest.raises(parsing.DateParseError, match=msg):
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parse_time_string(dashed)
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@pytest.mark.parametrize(
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"date_string,expected",
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[
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("123.1234", False),
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("-50000", False),
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("999", False),
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("m", False),
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("T", False),
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("Mon Sep 16, 2013", True),
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("2012-01-01", True),
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("01/01/2012", True),
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("01012012", True),
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("0101", True),
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("1-1", True),
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],
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)
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def test_does_not_convert_mixed_integer(date_string, expected):
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assert parsing._does_string_look_like_datetime(date_string) is expected
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@pytest.mark.parametrize(
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"date_str,kwargs,msg",
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[
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(
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"2013Q5",
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dict(),
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(
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"Incorrect quarterly string is given, "
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"quarter must be between 1 and 4: 2013Q5"
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),
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),
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# see gh-5418
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(
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"2013Q1",
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dict(freq="INVLD-L-DEC-SAT"),
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(
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"Unable to retrieve month information "
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"from given freq: INVLD-L-DEC-SAT"
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),
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),
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],
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)
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def test_parsers_quarterly_with_freq_error(date_str, kwargs, msg):
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with pytest.raises(parsing.DateParseError, match=msg):
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parsing.parse_time_string(date_str, **kwargs)
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@pytest.mark.parametrize(
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"date_str,freq,expected",
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[
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("2013Q2", None, datetime(2013, 4, 1)),
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("2013Q2", "A-APR", datetime(2012, 8, 1)),
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("2013-Q2", "A-DEC", datetime(2013, 4, 1)),
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],
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)
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def test_parsers_quarterly_with_freq(date_str, freq, expected):
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result, _ = parsing.parse_time_string(date_str, freq=freq)
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assert result == expected
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@pytest.mark.parametrize(
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"date_str", ["2Q 2005", "2Q-200A", "2Q-200", "22Q2005", "2Q200.", "6Q-20"]
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)
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def test_parsers_quarter_invalid(date_str):
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if date_str == "6Q-20":
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msg = (
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"Incorrect quarterly string is given, quarter "
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f"must be between 1 and 4: {date_str}"
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)
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else:
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msg = f"Unknown datetime string format, unable to parse: {date_str}"
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with pytest.raises(ValueError, match=msg):
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parsing.parse_time_string(date_str)
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@pytest.mark.parametrize(
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"date_str,expected",
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[("201101", datetime(2011, 1, 1, 0, 0)), ("200005", datetime(2000, 5, 1, 0, 0))],
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)
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def test_parsers_month_freq(date_str, expected):
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result, _ = parsing.parse_time_string(date_str, freq="M")
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assert result == expected
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@td.skip_if_not_us_locale
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@pytest.mark.parametrize(
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"string,fmt",
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[
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("20111230", "%Y%m%d"),
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("2011-12-30", "%Y-%m-%d"),
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("30-12-2011", "%d-%m-%Y"),
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("2011-12-30 00:00:00", "%Y-%m-%d %H:%M:%S"),
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("2011-12-30T00:00:00", "%Y-%m-%dT%H:%M:%S"),
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("2011-12-30 00:00:00.000000", "%Y-%m-%d %H:%M:%S.%f"),
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],
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)
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def test_guess_datetime_format_with_parseable_formats(string, fmt):
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result = parsing._guess_datetime_format(string)
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assert result == fmt
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@pytest.mark.parametrize("dayfirst,expected", [(True, "%d/%m/%Y"), (False, "%m/%d/%Y")])
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def test_guess_datetime_format_with_dayfirst(dayfirst, expected):
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ambiguous_string = "01/01/2011"
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result = parsing._guess_datetime_format(ambiguous_string, dayfirst=dayfirst)
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assert result == expected
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@td.skip_if_has_locale
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@pytest.mark.parametrize(
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"string,fmt",
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[
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("30/Dec/2011", "%d/%b/%Y"),
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("30/December/2011", "%d/%B/%Y"),
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("30/Dec/2011 00:00:00", "%d/%b/%Y %H:%M:%S"),
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],
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)
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def test_guess_datetime_format_with_locale_specific_formats(string, fmt):
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result = parsing._guess_datetime_format(string)
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assert result == fmt
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@pytest.mark.parametrize(
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"invalid_dt",
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[
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"2013",
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"01/2013",
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"12:00:00",
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"1/1/1/1",
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"this_is_not_a_datetime",
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"51a",
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9,
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datetime(2011, 1, 1),
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],
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)
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def test_guess_datetime_format_invalid_inputs(invalid_dt):
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# A datetime string must include a year, month and a day for it to be
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# guessable, in addition to being a string that looks like a datetime.
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assert parsing._guess_datetime_format(invalid_dt) is None
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@pytest.mark.parametrize(
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"string,fmt",
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[
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("2011-1-1", "%Y-%m-%d"),
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("1/1/2011", "%m/%d/%Y"),
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("30-1-2011", "%d-%m-%Y"),
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("2011-1-1 0:0:0", "%Y-%m-%d %H:%M:%S"),
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("2011-1-3T00:00:0", "%Y-%m-%dT%H:%M:%S"),
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("2011-1-1 00:00:00", "%Y-%m-%d %H:%M:%S"),
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],
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)
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def test_guess_datetime_format_no_padding(string, fmt):
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# see gh-11142
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result = parsing._guess_datetime_format(string)
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assert result == fmt
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def test_try_parse_dates():
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arr = np.array(["5/1/2000", "6/1/2000", "7/1/2000"], dtype=object)
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result = parsing.try_parse_dates(arr, dayfirst=True)
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expected = np.array([parse(d, dayfirst=True) for d in arr])
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tm.assert_numpy_array_equal(result, expected)
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def test_parse_time_string_check_instance_type_raise_exception():
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# issue 20684
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msg = "Argument 'arg' has incorrect type (expected str, got tuple)"
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with pytest.raises(TypeError, match=re.escape(msg)):
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parse_time_string((1, 2, 3))
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result = parse_time_string("2019")
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expected = (datetime(2019, 1, 1), "year")
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assert result == expected
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