A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/tslibs/test_fields.py

40 lines
1.3 KiB

import numpy as np
import pytest
from pandas._libs.tslibs import fields
import pandas._testing as tm
@pytest.fixture
def dtindex():
dtindex = np.arange(5, dtype=np.int64) * 10**9 * 3600 * 24 * 32
dtindex.flags.writeable = False
return dtindex
def test_get_date_name_field_readonly(dtindex):
# https://github.com/vaexio/vaex/issues/357
# fields functions shouldn't raise when we pass read-only data
result = fields.get_date_name_field(dtindex, "month_name")
expected = np.array(["January", "February", "March", "April", "May"], dtype=object)
tm.assert_numpy_array_equal(result, expected)
def test_get_date_field_readonly(dtindex):
result = fields.get_date_field(dtindex, "Y")
expected = np.array([1970, 1970, 1970, 1970, 1970], dtype=np.int32)
tm.assert_numpy_array_equal(result, expected)
def test_get_start_end_field_readonly(dtindex):
result = fields.get_start_end_field(dtindex, "is_month_start", None)
expected = np.array([True, False, False, False, False], dtype=np.bool_)
tm.assert_numpy_array_equal(result, expected)
def test_get_timedelta_field_readonly(dtindex):
# treat dtindex as timedeltas for this next one
result = fields.get_timedelta_field(dtindex, "days")
expected = np.arange(5, dtype=np.int32) * 32
tm.assert_numpy_array_equal(result, expected)