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import numpy as np
from cykhash import count_if_int64, count_if_int64_from_iter, Int64Set_from, Int64Set_from_buffer
from cykhash import count_if_int32, count_if_int32_from_iter, Int32Set_from, Int32Set_from_buffer
from cykhash import count_if_float64, count_if_float64_from_iter, Float64Set_from, Float64Set_from_buffer
from cykhash import count_if_float32, count_if_float32_from_iter, Float32Set_from, Float32Set_from_buffer
from cykhash import count_if_pyobject, count_if_pyobject_from_iter, PyObjectSet_from, PyObjectSet_from_buffer
CREATE_SET={
np.float64 : Float64Set_from_buffer,
np.float32 : Float32Set_from_buffer,
np.int64 : Int64Set_from_buffer,
np.int32 : Int32Set_from_buffer,
}
class CreateArange:
params = [
[np.float64, np.float32, np.int64, np.int32], #
[1_000, 2_000, 8_000, 10_000, 100_000, 1_000_000], #problem when quadratic behavior is triggered: [10, 100, 1000, 2_000, 8_000, 10_000, 100_000, 256_000, 1_000_000, 10_000_000],
]
param_names = ["dtype", "M"]
def setup(self, dtype, M):
self.keys = np.arange(M).astype(dtype)
def time_create(self, dtype, M):
CREATE_SET[dtype](self.keys)
class CreateRandom:
params = [
[np.float64, np.float32], #
[1_000, 2_000, 8_000, 10_000, 100_000, 1_000_000], #problem when quadratic behavior is triggered: [10, 100, 1000, 2_000, 8_000, 10_000, 100_000, 256_000, 1_000_000, 10_000_000],
]
param_names = ["dtype", "M"]
def setup(self, dtype, M):
np.random.seed(42)
self.keys = np.random.rand(M).astype(dtype)
def time_create(self, dtype, M):
CREATE_SET[dtype](self.keys)
class CreateRandomScaled:
params = [
[np.float64, np.float32, np.int64, np.int32], #
[1_000, 2_000, 8_000, 10_000, 100_000, 1_000_000], #problem when quadratic behavior is triggered: [10, 100, 1000, 2_000, 8_000, 10_000, 100_000, 256_000, 1_000_000, 10_000_000],
]
param_names = ["dtype", "M"]
def setup(self, dtype, M):
np.random.seed(42)
self.keys = (np.random.rand(M) * 100*M).astype(dtype)
def time_create(self, dtype, M):
CREATE_SET[dtype](self.keys)
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