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.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
InfoLeaseExtract/venv/Lib/site-packages/pandas/_testing/contexts.py

244 lines
5.4 KiB

from __future__ import annotations
from contextlib import contextmanager
import os
from pathlib import Path
import random
from shutil import rmtree
import string
import tempfile
from typing import (
IO,
Any,
)
import numpy as np
from pandas import set_option
from pandas.io.common import get_handle
@contextmanager
def decompress_file(path, compression):
"""
Open a compressed file and return a file object.
Parameters
----------
path : str
The path where the file is read from.
compression : {'gzip', 'bz2', 'zip', 'xz', 'zstd', None}
Name of the decompression to use
Returns
-------
file object
"""
with get_handle(path, "rb", compression=compression, is_text=False) as handle:
yield handle.handle
@contextmanager
def set_timezone(tz: str):
"""
Context manager for temporarily setting a timezone.
Parameters
----------
tz : str
A string representing a valid timezone.
Examples
--------
>>> from datetime import datetime
>>> from dateutil.tz import tzlocal
>>> tzlocal().tzname(datetime(2021, 1, 1)) # doctest: +SKIP
'IST'
>>> with set_timezone('US/Eastern'):
... tzlocal().tzname(datetime(2021, 1, 1))
...
'EST'
"""
import os
import time
def setTZ(tz):
if tz is None:
try:
del os.environ["TZ"]
except KeyError:
pass
else:
os.environ["TZ"] = tz
time.tzset()
orig_tz = os.environ.get("TZ")
setTZ(tz)
try:
yield
finally:
setTZ(orig_tz)
@contextmanager
def ensure_clean(filename=None, return_filelike: bool = False, **kwargs: Any):
"""
Gets a temporary path and agrees to remove on close.
This implementation does not use tempfile.mkstemp to avoid having a file handle.
If the code using the returned path wants to delete the file itself, windows
requires that no program has a file handle to it.
Parameters
----------
filename : str (optional)
suffix of the created file.
return_filelike : bool (default False)
if True, returns a file-like which is *always* cleaned. Necessary for
savefig and other functions which want to append extensions.
**kwargs
Additional keywords are passed to open().
"""
folder = Path(tempfile.gettempdir())
if filename is None:
filename = ""
filename = (
"".join(random.choices(string.ascii_letters + string.digits, k=30)) + filename
)
path = folder / filename
path.touch()
handle_or_str: str | IO = str(path)
if return_filelike:
kwargs.setdefault("mode", "w+b")
handle_or_str = open(path, **kwargs)
try:
yield handle_or_str
finally:
if not isinstance(handle_or_str, str):
handle_or_str.close()
if path.is_file():
path.unlink()
@contextmanager
def ensure_clean_dir():
"""
Get a temporary directory path and agrees to remove on close.
Yields
------
Temporary directory path
"""
directory_name = tempfile.mkdtemp(suffix="")
try:
yield directory_name
finally:
try:
rmtree(directory_name)
except OSError:
pass
@contextmanager
def ensure_safe_environment_variables():
"""
Get a context manager to safely set environment variables
All changes will be undone on close, hence environment variables set
within this contextmanager will neither persist nor change global state.
"""
saved_environ = dict(os.environ)
try:
yield
finally:
os.environ.clear()
os.environ.update(saved_environ)
@contextmanager
def with_csv_dialect(name, **kwargs):
"""
Context manager to temporarily register a CSV dialect for parsing CSV.
Parameters
----------
name : str
The name of the dialect.
kwargs : mapping
The parameters for the dialect.
Raises
------
ValueError : the name of the dialect conflicts with a builtin one.
See Also
--------
csv : Python's CSV library.
"""
import csv
_BUILTIN_DIALECTS = {"excel", "excel-tab", "unix"}
if name in _BUILTIN_DIALECTS:
raise ValueError("Cannot override builtin dialect.")
csv.register_dialect(name, **kwargs)
try:
yield
finally:
csv.unregister_dialect(name)
@contextmanager
def use_numexpr(use, min_elements=None):
from pandas.core.computation import expressions as expr
if min_elements is None:
min_elements = expr._MIN_ELEMENTS
olduse = expr.USE_NUMEXPR
oldmin = expr._MIN_ELEMENTS
set_option("compute.use_numexpr", use)
expr._MIN_ELEMENTS = min_elements
try:
yield
finally:
expr._MIN_ELEMENTS = oldmin
set_option("compute.use_numexpr", olduse)
class RNGContext:
"""
Context manager to set the numpy random number generator speed. Returns
to the original value upon exiting the context manager.
Parameters
----------
seed : int
Seed for numpy.random.seed
Examples
--------
with RNGContext(42):
np.random.randn()
"""
def __init__(self, seed):
self.seed = seed
def __enter__(self):
self.start_state = np.random.get_state()
np.random.seed(self.seed)
def __exit__(self, exc_type, exc_value, traceback):
np.random.set_state(self.start_state)