repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/profiling/test_profiles.py | test_fraction_of_true | assert | numeric_literal | 17 | import numpy as np
from popmon.analysis.profiling.profiles import profile_fraction_of_true
def test_fraction_of_true():
res = profile_fraction_of_true([], [])
assert np.isnan(res)
res = profile_fraction_of_true(["a"], [10])
assert np.isnan(res)
res = profile_fraction_of_true(["a", "b", "c"], [10, ... | 0.5 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/profiling/test_profiles.py | test_fraction_of_true | assert | numeric_literal | 22 | import numpy as np
from popmon.analysis.profiling.profiles import profile_fraction_of_true
def test_fraction_of_true():
res = profile_fraction_of_true([], [])
assert np.isnan(res)
res = profile_fraction_of_true(["a"], [10])
assert np.isnan(res)
res = profile_fraction_of_true(["a", "b", "c"], [10, ... | 1.0 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/profiling/test_profiles.py | test_fraction_of_true | assert | numeric_literal | 26 | import numpy as np
from popmon.analysis.profiling.profiles import profile_fraction_of_true
def test_fraction_of_true():
res = profile_fraction_of_true([], [])
assert np.isnan(res)
res = profile_fraction_of_true(["a"], [10])
assert np.isnan(res)
res = profile_fraction_of_true(["a", "b", "c"], [10, ... | 0.0 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_functions.py | test_chi_squared1 | assert_* | numeric_literal | 78 | import numpy as np
import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.apply_func import ApplyFunc
from popmon.analysis.comparison import (
ExpandingNormHistComparer,
ReferenceNormHistComparer,
RollingNormHistComparer,
)
from popmon.analysis.functions import (
expand,
... | 4.25) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_functions.py | test_normalized_hist_mean_cov | assert_* | variable | 85 | import numpy as np
import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.apply_func import ApplyFunc
from popmon.analysis.comparison import (
ExpandingNormHistComparer,
ReferenceNormHistComparer,
RollingNormHistComparer,
)
from popmon.analysis.functions import (
expand,
... | check) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_functions.py | test_normalized_hist_mean_cov | assert | variable | 54 | import numpy as np
import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.apply_func import ApplyFunc
from popmon.analysis.comparison import (
ExpandingNormHistComparer,
ReferenceNormHistComparer,
RollingNormHistComparer,
)
from popmon.analysis.functions import (
expand,
... | datastore | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_functions.py | test_chi_squared1 | assert_* | numeric_literal | 86 | import numpy as np
import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.apply_func import ApplyFunc
from popmon.analysis.comparison import (
ExpandingNormHistComparer,
ReferenceNormHistComparer,
RollingNormHistComparer,
)
from popmon.analysis.functions import (
expand,
... | 0.849999999999999) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_functions.py | test_chi_squared2 | assert_* | numeric_literal | 77 | import numpy as np
import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.apply_func import ApplyFunc
from popmon.analysis.comparison import (
ExpandingNormHistComparer,
ReferenceNormHistComparer,
RollingNormHistComparer,
)
from popmon.analysis.functions import (
expand,
... | 9.891821919006366) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_functions.py | test_chi_squared2 | assert_* | numeric_literal | 79 | import numpy as np
import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.apply_func import ApplyFunc
from popmon.analysis.comparison import (
ExpandingNormHistComparer,
ReferenceNormHistComparer,
RollingNormHistComparer,
)
from popmon.analysis.functions import (
expand,
... | 3.217532467532462) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_histogram | assert | numeric_literal | 76 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | 5 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_histogram | assert | numeric_literal | 77 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | 1 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_histogram | assert | numeric_literal | 81 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | 2 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_datatype | assert | variable | 76 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | str | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_prepare_2dgrid | assert_* | collection | 95 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | []) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_contentType | assert | string_literal | 77 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | "Bin" | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_consistent_numpy_entries | assert_* | variable | 116 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | labels) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_consistent_numpy_entries | assert_* | variable | 120 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | centers) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_consistent_numpy_1dhists | assert_* | variable | 100 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | entries1) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_consistent_numpy_1dhists | assert_* | variable | 102 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | entries2) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_consistent_numpy_entries | assert_* | variable | 114 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | entries0) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_consistent_numpy_1dhists | assert_* | variable | 101 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | bin_edges) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_hist_numpy.py | test_get_consistent_numpy_2dgrids | pytest.raises | variable | 100 | import histogrammar as hg
import numpy as np
import pandas as pd
import pytest
from popmon.analysis.hist_numpy import (
assert_similar_hists,
check_similar_hists,
get_2dgrid,
get_consistent_numpy_1dhists,
get_consistent_numpy_2dgrids,
get_consistent_numpy_entries,
get_contentType,
prepa... | ValueError) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_merge_statistics.py | test_merge_statistics | assert_* | variable | 45 | import pandas as pd
from popmon.analysis.merge_statistics import MergeStatistics
def test_merge_statistics():
df1 = pd.DataFrame(
{
"A": ["A0", "A1", "A2", "A3"],
"B": ["B0", "B1", "B2", "B3"],
"C": ["C0", "C1", "C2", "C3"],
"D": ["D0", "D1", "D2", "D3"],
... | out) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_merge_statistics.py | test_merge_statistics | assert_* | variable | 47 | import pandas as pd
from popmon.analysis.merge_statistics import MergeStatistics
def test_merge_statistics():
df1 = pd.DataFrame(
{
"A": ["A0", "A1", "A2", "A3"],
"B": ["B0", "B1", "B2", "B3"],
"C": ["C0", "C1", "C2", "C3"],
"D": ["D0", "D1", "D2", "D3"],
... | df2) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/analysis/test_merge_statistics.py | test_merge_statistics | assert_* | variable | 48 | import pandas as pd
from popmon.analysis.merge_statistics import MergeStatistics
def test_merge_statistics():
df1 = pd.DataFrame(
{
"A": ["A0", "A1", "A2", "A3"],
"B": ["B0", "B1", "B2", "B3"],
"C": ["C0", "C1", "C2", "C3"],
"D": ["D0", "D1", "D2", "D3"],
... | df1) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_module.py | test_popmon_module | assert_* | numeric_literal | 12 | import numpy as np
import pytest
from popmon.base import Module
def test_popmon_module(test_module):
datastore = {"x": np.arange(10)}
datastore = test_module.transform(datastore)
assert "x" in datastore # check if key 'x' is still in the datastore
np.testing.assert_almost_equal(np.mean(datastore["s... | 2.0) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_module.py | test_popmon_module | assert_* | numeric_literal | 13 | import numpy as np
import pytest
from popmon.base import Module
def test_popmon_module(test_module):
datastore = {"x": np.arange(10)}
datastore = test_module.transform(datastore)
assert "x" in datastore # check if key 'x' is still in the datastore
np.testing.assert_almost_equal(np.mean(datastore["sc... | 0.3) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_module.py | test_popmon_module | assert | variable | 11 | import numpy as np
import pytest
from popmon.base import Module
def test_popmon_module(test_module):
datastore = {"x": np.arange(10)}
datastore = test_module.transform(datastore)
assert "x" in | datastore | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_module.py | test_popmon_module_repr | assert | string_literal | 8 | import numpy as np
import pytest
from popmon.base import Module
def test_popmon_module_repr(test_module):
assert str(test_module) == | "Scaler(input_key='x', output_key='scaled_x')" | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_pipeline.py | test_popmon_pipeline | assert_* | variable | 15 | import logging
import numpy as np
import pytest
from popmon.base import Module, Pipeline
def test_popmon_pipeline(test_pipeline):
datastore = {"x": np.array([7, 2, 7, 9, 6]), "weights": np.array([1, 1, 2, 1, 2])}
expected_result = np.sum(
np.power(np.log(datastore["x"]), 2) * datastore["weights"]
... | expected_result) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_pipeline.py | test_pipeline_repr | assert | string_literal | 10 | import logging
import numpy as np
import pytest
from popmon.base import Module, Pipeline
def test_pipeline_repr(test_pipeline):
assert | """Pipeline: [\n\tPipeline: [\n\t\tLogTransformer(input_key='x', output_key='log_x')\n\t\tPowerTransformer(input_key='log_x', output_key='log_pow_x')\n\t]\n\tSumNormalizer(input_key='weights', output_key='norm_weights')\n\tWeightedSum(input_key='log_pow_x', weight_key='norm_weights', output_key='res')\n]""" | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registery | assert | numeric_literal | 23 | import pytest
from popmon.base.registry import Registry
def test_registery():
MyRegistry = Registry()
@MyRegistry.register(key="example", description="hello world")
def example_function(my_input):
return 4 + my_input
@MyRegistry.register(
key=["coefficient", "p_value"],
descr... | 5 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registry_properties | assert | collection | 13 | import pytest
from popmon.base.registry import Registry
def test_registry_properties():
PropsRegistry = Registry()
@PropsRegistry.register(key="hello", description="world", dim=3, htype="all")
def my_func():
return 0
assert PropsRegistry.get_keys_by_dim_and_htype(dim=1, htype=None) == | [] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registry_properties | assert | collection | 14 | import pytest
from popmon.base.registry import Registry
def test_registry_properties():
PropsRegistry = Registry()
@PropsRegistry.register(key="hello", description="world", dim=3, htype="all")
def my_func():
return 0
assert PropsRegistry.get_keys_by_dim_and_htype(dim=1, htype=None) == []
... | ["hello"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registry_run | assert | collection | 15 | import pytest
from popmon.base.registry import Registry
def test_registry_run():
RunRegistry = Registry()
@RunRegistry.register(key="key", description="run me", dim=1, htype="num")
def func(arg1, arg2):
return abs(arg1 - arg2)
args = [1, 4]
result = RunRegistry.run(args=args, dim=1, htyp... | {"key": 3} | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registry_duplicate | pytest.raises | variable | 13 | import pytest
from popmon.base.registry import Registry
def test_registry_duplicate():
DuplicatedRegistry = Registry()
@DuplicatedRegistry.register(key="test", description="me")
def func1():
pass
with pytest.raises( | ValueError) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registery | assert | string_literal | 27 | import pytest
from popmon.base.registry import Registry
def test_registery():
MyRegistry = Registry()
@MyRegistry.register(key="example", description="hello world")
def example_function(my_input):
return 4 + my_input
@MyRegistry.register(
key=["coefficient", "p_value"],
descr... | "example_function" | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registery | assert | collection | 29 | import pytest
from popmon.base.registry import Registry
def test_registery():
MyRegistry = Registry()
@MyRegistry.register(key="example", description="hello world")
def example_function(my_input):
return 4 + my_input
@MyRegistry.register(
key=["coefficient", "p_value"],
descr... | ["example", "coefficient", "p_value"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registry_duplicate | assert | string_literal | 30 | import pytest
from popmon.base.registry import Registry
def test_registry_duplicate():
DuplicatedRegistry = Registry()
@DuplicatedRegistry.register(key="test", description="me")
def func1():
pass
with pytest.raises(ValueError) as e:
@DuplicatedRegistry.register(key="another", descri... | "Key 'test' has already been registered." | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registry_duplicate | assert | string_literal | 19 | import pytest
from popmon.base.registry import Registry
def test_registry_duplicate():
DuplicatedRegistry = Registry()
@DuplicatedRegistry.register(key="test", description="me")
def func1():
pass
with pytest.raises(ValueError) as e:
@DuplicatedRegistry.register(key="another", descri... | "A function with the name 'func1' has already been registered." | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/base/test_registry.py | test_registery | assert | collection | 30 | import pytest
from popmon.base.registry import Registry
def test_registery():
MyRegistry = Registry()
@MyRegistry.register(key="example", description="hello world")
def example_function(my_input):
return 4 + my_input
@MyRegistry.register(
key=["coefficient", "p_value"],
descr... | { "example": "hello world", "coefficient": "phi_custom coefficient", "p_value": "p-value for the phi_custom coeff.", } | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_hist_splitter.py | test_hist_splitter_filter | assert | bool_literal | 51 | import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.hist_numpy import assert_similar_hists, check_similar_hists
from popmon.base import Pipeline
from popmon.hist.hist_splitter import HistSplitter
from popmon.io import JsonReader
@pytest.mark.filterwarnings("ignore:Input histograms have... | False | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_hist_splitter.py | test_hist_splitter | assert_* | variable | 51 | import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.hist_numpy import assert_similar_hists, check_similar_hists
from popmon.base import Pipeline
from popmon.hist.hist_splitter import HistSplitter
from popmon.io import JsonReader
def test_hist_splitter():
hist_list = [
"date... | hlist) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_hist_splitter.py | test_hist_splitter | assert | func_call | 41 | import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.hist_numpy import assert_similar_hists, check_similar_hists
from popmon.base import Pipeline
from popmon.hist.hist_splitter import HistSplitter
from popmon.io import JsonReader
def test_hist_splitter():
hist_list = [
"date... | len(features) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_hist_splitter.py | test_hist_splitter | assert | complex_expr | 43 | import pandas as pd
import pytest
from popmon import resources
from popmon.analysis.hist_numpy import assert_similar_hists, check_similar_hists
from popmon.base import Pipeline
from popmon.hist.hist_splitter import HistSplitter
from popmon.io import JsonReader
def test_hist_splitter():
hist_list = [
"date... | datastore["output_hist"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_histogrammar | assert | numeric_literal | 45 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | 5 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_histogrammar | assert | numeric_literal | 46 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | 1 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_histogrammar | assert | numeric_literal | 50 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | 2 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_datatype | assert | variable | 48 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | str | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_split_hist_along_first_dimension | assert | string_literal | 134 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | "Count" | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_project_split2dhist_on_axis | assert | variable | 102 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | splitA1 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_project_split2dhist_on_axis | assert | variable | 103 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | splitA2 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_project_split2dhist_on_axis | assert | variable | 121 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | splitC1 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_project_split2dhist_on_axis | assert | variable | 122 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | splitC2 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_split_hist_along_first_dimension | assert_* | variable | 75 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | check3a) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_split_hist_along_first_dimension | assert_* | variable | 76 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | check3b) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_project_split2dhist_on_axis | assert_* | variable | 112 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | bin_edges1) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/hist/test_histogram.py | test_sum_over_x | assert_* | variable | 66 | import histogrammar as hg
import numpy as np
import pandas as pd
from popmon.hist.hist_utils import (
is_numeric,
is_timestamp,
project_on_x,
project_split2dhist_on_axis,
sparse_bin_centers_x,
split_hist_along_first_dimension,
sum_entries,
sum_over_x,
)
def get_test_data():
df = pd... | bin_edges3) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_file_reader.py | test_file_reader_json | assert | numeric_literal | 16 | import json
from popmon import resources
from popmon.io import FileReader
def test_file_reader_json():
fr = FileReader(
file_path=resources.data("example.json"),
store_key="example",
apply_func=json.loads,
)
datastore = fr.transform(datastore={})
assert datastore["example"]["b... | 3 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_file_reader.py | test_file_reader_json | assert | numeric_literal | 17 | import json
from popmon import resources
from popmon.io import FileReader
def test_file_reader_json():
fr = FileReader(
file_path=resources.data("example.json"),
store_key="example",
apply_func=json.loads,
)
datastore = fr.transform(datastore={})
assert datastore["example"]["b... | 0 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_file_writer.py | test_file_writer_df | assert | variable | 26 | import copy
import json
import pandas as pd
import pytest
from popmon.io import FileWriter
DATA = {"name": ["Name"], "surname": ["Surname"]}
def get_ready_ds():
return copy.deepcopy({"my_data": DATA})
def to_json(data, **kwargs):
return json.dumps(data, **kwargs)
def to_pandas(data):
return pd.DataFra... | DATA | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_file_writer.py | test_file_writer_not_a_func | pytest.raises | variable | 23 | import copy
import json
import pandas as pd
import pytest
from popmon.io import FileWriter
DATA = {"name": ["Name"], "surname": ["Surname"]}
def get_ready_ds():
return copy.deepcopy({"my_data": DATA})
def to_json(data, **kwargs):
return json.dumps(data, **kwargs)
def to_pandas(data):
return pd.DataFra... | TypeError) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_file_writer.py | test_file_writer_json | assert | func_call | 24 | import copy
import json
import pandas as pd
import pytest
from popmon.io import FileWriter
DATA = {"name": ["Name"], "surname": ["Surname"]}
def get_ready_ds():
return copy.deepcopy({"my_data": DATA})
def to_json(data, **kwargs):
return json.dumps(data, **kwargs)
def to_pandas(data):
return pd.DataFra... | to_json(DATA) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_file_writer.py | test_file_writer_json_with_kwargument | assert | func_call | 24 | import copy
import json
import pandas as pd
import pytest
from popmon.io import FileWriter
DATA = {"name": ["Name"], "surname": ["Surname"]}
def get_ready_ds():
return copy.deepcopy({"my_data": DATA})
def to_json(data, **kwargs):
return json.dumps(data, **kwargs)
def to_pandas(data):
return pd.DataFra... | to_json(DATA, indent=4) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_file_writer.py | test_file_writer_df | assert | func_call | 27 | import copy
import json
import pandas as pd
import pytest
from popmon.io import FileWriter
DATA = {"name": ["Name"], "surname": ["Surname"]}
def get_ready_ds():
return copy.deepcopy({"my_data": DATA})
def to_json(data, **kwargs):
return json.dumps(data, **kwargs)
def to_pandas(data):
return pd.DataFra... | to_pandas(DATA).to_dict() | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_json_reader.py | test_json_reader | assert | numeric_literal | 10 | from popmon import resources
from popmon.io import JsonReader
def test_json_reader():
jr = JsonReader(file_path=resources.data("example.json"), store_key="example")
datastore = jr.transform(datastore={})
assert datastore["example"]["boolean"]
assert len(datastore["example"]["array"]) == | 3 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/io/test_json_reader.py | test_json_reader | assert | numeric_literal | 11 | from popmon import resources
from popmon.io import JsonReader
def test_json_reader():
jr = JsonReader(file_path=resources.data("example.json"), store_key="example")
datastore = jr.transform(datastore={})
assert datastore["example"]["boolean"]
assert len(datastore["example"]["array"]) == 3
assert ... | 0 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_metrics.py | test_hists_stability_metrics | assert | func_call | 38 | import pandas as pd
import pytest
from popmon import resources
from popmon.base import Pipeline
from popmon.config import Settings
from popmon.io import JsonReader
from popmon.pipeline.metrics import df_stability_metrics, stability_metrics
def test_hists_stability_metrics():
settings = Settings(reference_type="ro... | list(ds.keys()) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_report.py | test_df_stability_report_self | assert | complex_expr | 33 | import pandas as pd
import pytest
from popmon import resources
from popmon.base import Pipeline
from popmon.config import Settings
from popmon.hist.filling import get_bin_specs
from popmon.io import JsonReader
from popmon.pipeline.report import df_stability_report, stability_report
def test_df_stability_report_self()... | bin_specs["date:eyeColor"][0]["origin"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_report.py | test_df_stability_report_self | assert | complex_expr | 35 | import pandas as pd
import pytest
from popmon import resources
from popmon.base import Pipeline
from popmon.config import Settings
from popmon.hist.filling import get_bin_specs
from popmon.io import JsonReader
from popmon.pipeline.report import df_stability_report, stability_report
def test_df_stability_report_self()... | bin_specs["date:latitude"][0]["origin"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_report.py | test_df_stability_report_self | assert | complex_expr | 32 | import pandas as pd
import pytest
from popmon import resources
from popmon.base import Pipeline
from popmon.config import Settings
from popmon.hist.filling import get_bin_specs
from popmon.io import JsonReader
from popmon.pipeline.report import df_stability_report, stability_report
def test_df_stability_report_self()... | bin_specs["date:eyeColor"][0]["binWidth"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_report.py | test_df_stability_report_self | assert | complex_expr | 34 | import pandas as pd
import pytest
from popmon import resources
from popmon.base import Pipeline
from popmon.config import Settings
from popmon.hist.filling import get_bin_specs
from popmon.io import JsonReader
from popmon.pipeline.report import df_stability_report, stability_report
def test_df_stability_report_self()... | bin_specs["date:latitude"][0]["binWidth"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_int | assert | numeric_literal | 12 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_int(test_dataframe_pandas):
reference, df = split_dataset(test_dataframe_pandas, split=3, time_axis="date")
assert reference.shape[0] == | 3 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_condition | assert | numeric_literal | 17 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_condition(test_dataframe_pandas):
reference, df = split_dataset(
test_dataframe_pandas,
split=test_dataframe_pandas.date
< da... | 51 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_int | assert | numeric_literal | 13 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_int(test_dataframe_pandas):
reference, df = split_dataset(test_dataframe_pandas, split=3, time_axis="date")
assert reference.shape[0] == 3
... | 997 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_float | assert | numeric_literal | 12 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_float(test_dataframe_pandas):
reference, df = split_dataset(test_dataframe_pandas, split=0.45, time_axis="date")
assert reference.shape[0] == | 450 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_float | assert | numeric_literal | 13 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_float(test_dataframe_pandas):
reference, df = split_dataset(test_dataframe_pandas, split=0.45, time_axis="date")
assert reference.shape[0] == 45... | 550 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_float_round | assert | numeric_literal | 12 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_float_round(test_dataframe_pandas):
reference, df = split_dataset(test_dataframe_pandas, split=0.8888, time_axis="date")
assert reference.shape... | 888 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_float_round | assert | numeric_literal | 13 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_float_round(test_dataframe_pandas):
reference, df = split_dataset(test_dataframe_pandas, split=0.8888, time_axis="date")
assert reference.shape[... | 112 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_condition | assert | numeric_literal | 18 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_condition(test_dataframe_pandas):
reference, df = split_dataset(
test_dataframe_pandas,
split=test_dataframe_pandas.date
< da... | 949 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_int_underflow | pytest.raises | variable | 10 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_int_underflow(test_dataframe_pandas):
with pytest.raises( | ValueError) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/pipeline/test_split_dataset.py | test_split_dataset_pandas_int | assert | collection | 14 | from datetime import datetime, timedelta
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def test_split_dataset_pandas_int(test_dataframe_pandas):
reference, df = split_dataset(test_dataframe_pandas, split=3, time_axis="date")
assert reference.shape[0] == 3
a... | ["date", "f1", "f2"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_spark.py | test_spark_make_histograms | assert | collection | 84 | from copy import deepcopy
from pathlib import Path
import pandas as pd
import pytest
from popmon.hist.filling import make_histograms
from popmon.pipeline.metrics import df_stability_metrics
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" ... | (v1, v2) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_spark.py | test_spark_stability_metrics | assert | func_call | 57 | from copy import deepcopy
from pathlib import Path
import pandas as pd
import pytest
from popmon.hist.filling import make_histograms
from popmon.pipeline.metrics import df_stability_metrics
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" ... | list(ds.keys()) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_int | assert | numeric_literal | 37 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 3 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_condition | assert | numeric_literal | 44 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 51 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_int | assert | numeric_literal | 38 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 997 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_float | assert | numeric_literal | 37 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 450 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_float | assert | numeric_literal | 38 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 550 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_float_round | assert | numeric_literal | 37 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 888 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_float_round | assert | numeric_literal | 38 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 112 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_condition | assert | numeric_literal | 45 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | 949 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_int_underflow | pytest.raises | variable | 35 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | ValueError) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/spark/test_split_dataset_spark.py | test_split_dataset_spark_int | assert | collection | 39 | from datetime import datetime, timedelta
from pathlib import Path
import pandas as pd
import pytest
from popmon.pipeline.dataset_splitter import split_dataset
def spark_context():
if not spark_found:
return None
current_path = Path(__file__).parent
scala = "2.12" if int(pyspark_version[0]) >= 3... | ["date", "f1", "f2"] | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/stats/test_numpy.py | test_mean_shapes | assert | numeric_literal | 23 | import itertools
import numpy as np
from scipy import linalg, stats
from popmon.stats.numpy import (
mean,
probability_distribution_mean_covariance,
quantile,
std,
)
def get_data():
np.random.seed(5)
a = np.random.randint(0, 10, size=(3, 4, 5, 6))
w = np.random.randint(0, 10, size=(3, 4, ... | 0 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/stats/test_numpy.py | test_quantiles_shapes | assert | numeric_literal | 27 | import itertools
import numpy as np
from scipy import linalg, stats
from popmon.stats.numpy import (
mean,
probability_distribution_mean_covariance,
quantile,
std,
)
def get_data():
np.random.seed(5)
a = np.random.randint(0, 10, size=(3, 4, 5, 6))
w = np.random.randint(0, 10, size=(3, 4, ... | 1 | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/stats/test_numpy.py | test_probability_distribution_mean_covariance | assert_* | numeric_literal | 65 | import itertools
import numpy as np
from scipy import linalg, stats
from popmon.stats.numpy import (
mean,
probability_distribution_mean_covariance,
quantile,
std,
)
def get_data():
np.random.seed(5)
a = np.random.randint(0, 10, size=(3, 4, 5, 6))
w = np.random.randint(0, 10, size=(3, 4, ... | 1) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/stats/test_numpy.py | test_mean_shapes | assert | collection | 37 | import itertools
import numpy as np
from scipy import linalg, stats
from popmon.stats.numpy import (
mean,
probability_distribution_mean_covariance,
quantile,
std,
)
def get_data():
np.random.seed(5)
a = np.random.randint(0, 10, size=(3, 4, 5, 6))
w = np.random.randint(0, 10, size=(3, 4, ... | (3, 6) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/stats/test_numpy.py | test_std_shapes | assert_* | func_call | 28 | import itertools
import numpy as np
from scipy import linalg, stats
from popmon.stats.numpy import (
mean,
probability_distribution_mean_covariance,
quantile,
std,
)
def get_data():
np.random.seed(5)
a = np.random.randint(0, 10, size=(3, 4, 5, 6))
w = np.random.randint(0, 10, size=(3, 4, ... | std(a)) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
ing-bank/popmon | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | train | train | tests/popmon/stats/test_numpy.py | test_mean_shapes | assert_* | func_call | 28 | import itertools
import numpy as np
from scipy import linalg, stats
from popmon.stats.numpy import (
mean,
probability_distribution_mean_covariance,
quantile,
std,
)
def get_data():
np.random.seed(5)
a = np.random.randint(0, 10, size=(3, 4, 5, 6))
w = np.random.randint(0, 10, size=(3, 4, ... | mean(a)) | d687d10255eb1c86f49a3dd93ef9fd853c4c4a6f | 18 | v2_extractor_at_anchor |
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