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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE
from __future__ import annotations
import json
import numpy as np
import pytest
import awkward as ak
def test_from_iter():
assert ak.operations.from_iter([1 + 1j, 2 + 2j, 3 + 3j]).to_list() == [
1 + 1j,
2 + 2j,
3 + 3j,
]
assert ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]).to_list() == [
[1 + 1j, 2 + 2j],
[],
[3 + 3j],
]
# First encounter of a complex number should promote previous integers and
# reals into complex numbers:
assert ak.operations.from_iter([1, 2.2, 3 + 3j]).to_list() == [
1.0 + 0j,
2.2 + 0j,
3.0 + 3j,
]
assert ak.operations.from_iter([1, 3 + 3j]).to_list() == [
1.0 + 0j,
3.0 + 3j,
]
# Just as the first encounter of a real number promotes previous integers
# into reals:
assert str(ak.operations.from_iter([1, 2.2]).type) == "2 * float64"
assert ak.operations.from_iter([1, 2.2]).to_list() == [1.0, 2.2]
builder = ak.highlevel.ArrayBuilder()
assert str(builder.type) == "0 * unknown"
builder.integer(1)
assert str(builder.type) == "1 * int64"
builder.real(2.2)
assert str(builder.type) == "2 * float64"
# For that matter, ArrayBuilder is missing a high-level interface to complex:
builder.complex(3 + 3j)
assert str(builder.type) == "3 * complex128"
def test_from_json():
array = ak.operations.from_json('[{"r": 1.1, "i": 1.0}, {"r": 2.2, "i": 2.0}]')
assert array.to_list() == [
{"r": 1.1, "i": 1.0},
{"r": 2.2, "i": 2.0},
]
array = ak.operations.from_json(
'[{"r": 1.1, "i": 1.0}, {"r": 2.2, "i": 2.0}]', complex_record_fields=("r", "i")
)
assert array.to_list() == [(1.1 + 1j), (2.2 + 2j)]
# Somewhere in from_json, a handler that turns integer record fields into
# parts of a complex number is missing.
array = ak.operations.from_json(
'[{"r": 1, "i": 1}, {"r": 2, "i": 2}]', complex_record_fields=("r", "i")
)
assert array.to_list() == [(1 + 1j), (2 + 2j)]
# This should fail with some message like "complex number fields must be numbers,"
# not "called 'end_record' without 'begin_record' at the same level before it."
with pytest.raises(ValueError):
array = ak.operations.from_json(
'[{"r": [], "i": 1}, {"r": [1, 2], "i": 2}]',
complex_record_fields=("r", "i"),
)
# These shouldn't be recognized as complex number records because they have
# only one of the two fields.
assert ak.operations.from_json(
'[{"r": 1}, {"r": 2}]', complex_record_fields=("r", "i")
).to_list() == [{"r": 1}, {"r": 2}]
assert ak.operations.from_json(
'[{"i": 1}, {"i": 2}]', complex_record_fields=("r", "i")
).to_list() == [{"i": 1}, {"i": 2}]
assert ak.operations.from_json(
'[{"r": 1.1}, {"r": 2.2}]', complex_record_fields=("r", "i")
).to_list() == [{"r": 1.1}, {"r": 2.2}]
assert ak.operations.from_json(
'[{"i": 1.1}, {"i": 2.2}]', complex_record_fields=("r", "i")
).to_list() == [{"i": 1.1}, {"i": 2.2}]
# In this one, the extra field should simply be ignored. A record with *at least*
# the two specified fields should be recognized as a complex number, so that
# the protocol can include a type marker, as some protocols do.
array = ak.operations.from_json(
'[{"r": 1.1, "i": 1.0, "another": []}, {"r": 2.2, "i": 2.0, "another": [1, 2, 3]}]',
complex_record_fields=("r", "i"),
)
assert array.to_list() == [(1.1 + 1j), (2.2 + 2j)]
def test_to_json():
# Complex numbers can't be converted to JSON without setting 'complex_record_fields',
# but the error messages should refer to that name now. (I changed the name at
# high-level, but not in the error messages emitted by C++ code.)
with pytest.raises(TypeError) as err:
ak.operations.to_json(ak.operations.from_iter([1 + 1j, 2 + 2j, 3 + 3j]))
assert "not JSON serializable" in str(err)
expectation = [{"r": 1.0, "i": 1.0}, {"r": 2.0, "i": 2.0}, {"r": 3.0, "i": 3.0}]
assert expectation == json.loads(
ak.operations.to_json(
ak.operations.from_iter([1 + 1j, 2 + 2j, 3 + 3j]),
complex_record_fields=("r", "i"),
)
)
expectation = [
[{"r": 1.0, "i": 1.0}, {"r": 2.0, "i": 2.0}],
[],
[{"r": 3.0, "i": 3.0}],
]
assert expectation == json.loads(
ak.operations.to_json(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]),
complex_record_fields=("r", "i"),
)
)
def test_reducers():
assert (
ak.operations.sum(ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]))
== 6 + 6j
)
assert (
ak.operations.prod(ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]))
== -12 + 12j
)
assert ak.operations.sum(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]), axis=1
).to_list() == [
3 + 3j,
0 + 0j,
3 + 3j,
]
assert ak.operations.prod(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]), axis=1
).to_list() == [
0 + 4j,
1 + 0j,
3 + 3j,
]
assert ak.operations.count(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]), axis=1
).to_list() == [2, 0, 1]
assert ak.operations.count_nonzero(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]), axis=1
).to_list() == [2, 0, 1]
assert ak.operations.any(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]), axis=1
).to_list() == [
True,
False,
True,
]
assert ak.operations.all(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [], [3 + 3j]]), axis=1
).to_list() == [
True,
True,
True,
]
assert ak.operations.any(
ak.operations.from_iter([[1 + 1j, 2 + 2j, 0 + 0j], [], [3 + 3j]]),
axis=1,
).to_list() == [True, False, True]
assert ak.operations.all(
ak.operations.from_iter([[1 + 1j, 2 + 2j, 0 + 0j], [], [3 + 3j]]),
axis=1,
).to_list() == [False, True, True]
def test_minmax():
assert (
ak.operations.min(ak.operations.from_iter([[1 + 5j, 2 + 4j], [], [3 + 3j]]))
== 1 + 5j
)
assert (
ak.operations.max(ak.operations.from_iter([[1 + 5j, 2 + 4j], [], [3 + 3j]]))
== 3 + 3j
)
assert ak.operations.min(
ak.operations.from_iter([[1 + 5j, 2 + 4j], [], [3 + 3j]]), axis=1
).to_list() == [
1 + 5j,
None,
3 + 3j,
]
assert ak.operations.max(
ak.operations.from_iter([[1 + 5j, 2 + 4j], [], [3 + 3j]]), axis=1
).to_list() == [
2 + 4j,
None,
3 + 3j,
]
assert ak.operations.argmin(
ak.operations.from_iter([[1 + 5j, 2 + 4j], [], [3 + 3j]]), axis=1
).to_list() == [0, None, 0]
assert ak.operations.argmax(
ak.operations.from_iter([[1 + 5j, 2 + 4j], [], [3 + 3j]]), axis=1
).to_list() == [1, None, 0]
@pytest.mark.skip(reason="Remember to implement sorting for complex numbers.")
def test_sort():
assert ak.operations.sort(
ak.operations.from_iter([[2 + 4j, 1 + 5j], [], [3 + 3j]])
).to_list() == [
[1 + 5j, 2 + 4j],
[],
[3 + 3j],
]
assert ak.operations.argsort(
ak.operations.from_iter([[2 + 4j, 1 + 5j], [], [3 + 3j]])
).to_list() == [
[1, 0],
[],
[0],
]
def test_numpy():
assert np.array_equal(
ak.operations.to_numpy(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [3 + 3j, 4 + 4j]])
),
np.array([[1 + 1j, 2 + 2j], [3 + 3j, 4 + 4j]]),
)
assert (
str(
ak.operations.to_numpy(
ak.operations.from_iter([[1 + 1j, 2 + 2j], [3 + 3j, 4 + 4j]])
).dtype
)
== "complex128"
)
assert ak.highlevel.Array(
np.array([[1 + 1j, 2 + 2j], [3 + 3j, 4 + 4j]])
).to_list() == [
[(1 + 1j), (2 + 2j)],
[(3 + 3j), (4 + 4j)],
]
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