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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE
from __future__ import annotations
import numpy as np
import pytest
import awkward as ak
numba = pytest.importorskip("numba")
ak.numba.register_and_check()
def test():
def reproduce(arrays):
out = np.zeros(len(arrays), np.int64)
i = 0
for values in arrays:
for p in values:
out[i] = p
i += 1
break
return out
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 1, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [150, 140]
assert numba.njit(reproduce)(array).tolist() == [150, 140]
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 2, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [150, 130]
assert numba.njit(reproduce)(array).tolist() == [150, 130]
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)[2:]
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 1, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [130, 120]
assert numba.njit(reproduce)(array).tolist() == [130, 120]
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)[2:]
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 2, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [130, 110]
assert numba.njit(reproduce)(array).tolist() == [130, 110]
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))[3:]
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 1, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [180, 170]
assert numba.njit(reproduce)(array).tolist() == [180, 170]
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))[3:]
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 2, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [180, 160]
assert numba.njit(reproduce)(array).tolist() == [180, 160]
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))[3:]
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)[2:]
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 1, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [160, 150]
assert numba.njit(reproduce)(array).tolist() == [160, 150]
numpyarray = ak.contents.NumpyArray(np.arange(100, 200, 10))[3:]
indexedarray = ak.contents.IndexedArray(
ak.index.Index64(np.array([5, 4, 3, 2, 1, 0])), numpyarray
)[2:]
listoffsetarray = ak.contents.ListOffsetArray(
ak.index.Index64(np.array([0, 2, 4])), indexedarray
)
array = ak.highlevel.Array(listoffsetarray)
assert reproduce(array).tolist() == [160, 140]
assert numba.njit(reproduce)(array).tolist() == [160, 140]
def test_enumerate():
@numba.njit
def f1(array):
out = np.zeros(len(array), np.int32)
for i, x in enumerate(array):
out[i] = x + 0.5
return out
array = ak.highlevel.Array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
assert f1(array).tolist() == [0, 1, 2, 3, 4, 6, 7, 8, 9, 10]
def test_zip():
@numba.njit
def f1(array1, array2):
out = np.zeros(len(array1), np.float64)
i = 0
for a1, a2 in zip(array1, array2):
out[i] = a1 - a2
i += 1
return out
array1 = ak.highlevel.Array([1.5, 2.5, 3.25])
array2 = ak.highlevel.Array([1, 2, 3])
assert f1(array1, array2).tolist() == [0.5, 0.5, 0.25]
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