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from importlib import import_module
import os
import numpy as np
import pandas as pd
# Compatibility import for lib
for imp in ["pandas._libs.lib", "pandas.lib"]:
try:
lib = import_module(imp)
break
except (ImportError, TypeError, ValueError):
pass
# Compatibility import for the testing module
try:
import pandas._testing as tm
except ImportError:
import pandas.util.testing as tm # noqa: F401
numeric_dtypes = [
np.int64,
np.int32,
np.uint32,
np.uint64,
np.float32,
np.float64,
np.int16,
np.int8,
np.uint16,
np.uint8,
]
datetime_dtypes = [np.datetime64, np.timedelta64]
string_dtypes = [object]
try:
extension_dtypes = [
pd.Int8Dtype,
pd.Int16Dtype,
pd.Int32Dtype,
pd.Int64Dtype,
pd.UInt8Dtype,
pd.UInt16Dtype,
pd.UInt32Dtype,
pd.UInt64Dtype,
pd.CategoricalDtype,
pd.IntervalDtype,
pd.DatetimeTZDtype("ns", "UTC"),
pd.PeriodDtype("D"),
]
except AttributeError:
extension_dtypes = []
def setup(*args, **kwargs):
# This function just needs to be imported into each benchmark file to
# set up the random seed before each function.
# https://asv.readthedocs.io/en/latest/writing_benchmarks.html
np.random.seed(1234)
class BaseIO:
"""
Base class for IO benchmarks
"""
fname = None
def remove(self, f):
"""Remove created files"""
try:
os.remove(f)
except OSError:
# On Windows, attempting to remove a file that is in use
# causes an exception to be raised
pass
def teardown(self, *args, **kwargs):
self.remove(self.fname)
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