mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-12-25 06:54:53 +01:00
66 lines
1.3 KiB
Python
66 lines
1.3 KiB
Python
|
import pytest
|
||
|
|
|
||
|
|
import pandas.util._test_decorators as td
|
||
|
|
|
||
|
|
import pandas._testing as tm
|
||
|
|
|
||
|
|
from pandas.io.parsers import read_csv
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.fixture
|
||
|
|
def frame(float_frame):
|
||
|
|
"""
|
||
|
|
Returns the first ten items in fixture "float_frame".
|
||
|
|
"""
|
||
|
|
return float_frame[:10]
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.fixture
|
||
|
|
def tsframe():
|
||
|
|
return tm.makeTimeDataFrame()[:5]
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.fixture(params=[True, False])
|
||
|
|
def merge_cells(request):
|
||
|
|
return request.param
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.fixture
|
||
|
|
def df_ref(datapath):
|
||
|
|
"""
|
||
|
|
Obtain the reference data from read_csv with the Python engine.
|
||
|
|
"""
|
||
|
|
filepath = datapath("io", "data", "csv", "test1.csv")
|
||
|
|
df_ref = read_csv(filepath, index_col=0, parse_dates=True, engine="python")
|
||
|
|
return df_ref
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.fixture(params=[".xls", ".xlsx", ".xlsm", ".ods", ".xlsb"])
|
||
|
|
def read_ext(request):
|
||
|
|
"""
|
||
|
|
Valid extensions for reading Excel files.
|
||
|
|
"""
|
||
|
|
return request.param
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.fixture(autouse=True)
|
||
|
|
def check_for_file_leaks():
|
||
|
|
"""
|
||
|
|
Fixture to run around every test to ensure that we are not leaking files.
|
||
|
|
|
||
|
|
See also
|
||
|
|
--------
|
||
|
|
_test_decorators.check_file_leaks
|
||
|
|
"""
|
||
|
|
# GH#30162
|
||
|
|
psutil = td.safe_import("psutil")
|
||
|
|
if not psutil:
|
||
|
|
yield
|
||
|
|
|
||
|
|
else:
|
||
|
|
proc = psutil.Process()
|
||
|
|
flist = proc.open_files()
|
||
|
|
yield
|
||
|
|
flist2 = proc.open_files()
|
||
|
|
assert flist == flist2
|