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import numpy as np
import pandas as pd
from .pandas_vb_common import tm
class BooleanArray:
def setup(self):
self.values_bool = np.array([True, False, True, False])
self.values_float = np.array([1.0, 0.0, 1.0, 0.0])
self.values_integer = np.array([1, 0, 1, 0])
self.values_integer_like = [1, 0, 1, 0]
self.data = np.array([True, False, True, False])
self.mask = np.array([False, False, True, False])
def time_constructor(self):
pd.arrays.BooleanArray(self.data, self.mask)
def time_from_bool_array(self):
pd.array(self.values_bool, dtype="boolean")
def time_from_integer_array(self):
pd.array(self.values_integer, dtype="boolean")
def time_from_integer_like(self):
pd.array(self.values_integer_like, dtype="boolean")
def time_from_float_array(self):
pd.array(self.values_float, dtype="boolean")
class IntegerArray:
def setup(self):
self.values_integer = np.array([1, 0, 1, 0])
self.data = np.array([1, 2, 3, 4], dtype="int64")
self.mask = np.array([False, False, True, False])
def time_constructor(self):
pd.arrays.IntegerArray(self.data, self.mask)
def time_from_integer_array(self):
pd.array(self.values_integer, dtype="Int64")
class ArrowStringArray:
params = [False, True]
param_names = ["multiple_chunks"]
def setup(self, multiple_chunks):
try:
import pyarrow as pa
except ImportError:
raise NotImplementedError
strings = tm.rands_array(3, 10_000)
if multiple_chunks:
chunks = [strings[i : i + 100] for i in range(0, len(strings), 100)]
self.array = pd.arrays.ArrowStringArray(pa.chunked_array(chunks))
else:
self.array = pd.arrays.ArrowStringArray(pa.array(strings))
def time_setitem(self, multiple_chunks):
for i in range(200):
self.array[i] = "foo"
def time_setitem_list(self, multiple_chunks):
indexer = list(range(0, 50)) + list(range(-50, 0))
self.array[indexer] = ["foo"] * len(indexer)
def time_setitem_slice(self, multiple_chunks):
self.array[::10] = "foo"
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