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/arrays/floating/conftest.py

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import numpy as np
import pytest
import pandas as pd
from pandas.core.arrays.floating import (
Float32Dtype,
Float64Dtype,
)
@pytest.fixture(params=[Float32Dtype, Float64Dtype])
def dtype(request):
return request.param()
@pytest.fixture
def data(dtype):
return pd.array(
list(np.arange(0.1, 0.9, 0.1))
+ [pd.NA]
+ list(np.arange(1, 9.8, 0.1))
+ [pd.NA]
+ [9.9, 10.0],
dtype=dtype,
)
@pytest.fixture
def data_missing(dtype):
return pd.array([np.nan, 0.1], dtype=dtype)
@pytest.fixture(params=["data", "data_missing"])
def all_data(request, data, data_missing):
"""Parametrized fixture giving 'data' and 'data_missing'"""
if request.param == "data":
return data
elif request.param == "data_missing":
return data_missing