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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | assert | numeric_literal | 24 | import numpy as np
import pytest
from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call, _ as D
def _():
return Symbolic()
def test_siu_symbolic_np_array_ufunc_call(_):
sym = np.add(_, 1)
expr = strip_symbolic(sym)
# structure:
# █─'__call__'
# ├─█─'__custom_func_... | 6 | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | assert | numeric_literal | 29 | import numpy as np
import pytest
from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call, _ as D
def _():
return Symbolic()
def test_siu_symbolic_np_array_ufunc_call(_):
sym = np.add(_, 1)
expr = strip_symbolic(sym)
# structure:
# █─'__call__'
# ├─█─'__custom_func_... | 1 | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_function | assert | numeric_literal | 17 | import numpy as np
import pytest
from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call, _ as D
def _():
return Symbolic()
@pytest.mark.xfail
def test_siu_symbolic_np_array_function(_):
# Note that np.sum is not a ufunc, but sort of reduces on a ufunc under the
# hood, so fail... | 3 | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_vector.py | test_vector_n | assert | numeric_literal | 12 | import pytest
from pandas.testing import assert_series_equal
from siuba.dply import vector as v
from siuba.siu import _, Call, Symbolic, strip_symbolic
from pandas import Series
def x():
return Series([0,1,2])
def test_vector_n(x):
assert v.n(x) == | 3 | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_spread.py | test_spread_grouped_df | assert | numeric_literal | 29 | from siuba import spread, gather, _
from pandas.testing import assert_frame_equal
import pandas as pd
import pytest
def df():
return pd.DataFrame({
'id': [1, 1, 2],
'm': ['a', 'b', 'b'],
'v': [1,2,3]
})
def wide_df():
return pd.DataFrame({
'id': [1,2],
'a': [1,... | 1 | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_summarize_subquery_group_vars | assert | numeric_literal | 31 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | 2 | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_utils.py | test_pipe_symbolic_attr | assert | numeric_literal | 18 | from siuba.siu import Symbolic
from siuba.sql.verbs import collect, show_query, LazyTbl
from siuba.dply.verbs import Pipeable
from .helpers import data_frame
import pandas as pd
import pytest
_ = Symbolic()
def df(backend):
return backend.load_df(data_frame(x = [1,2,3]))
def test_pipe_symbolic_attr():
class... | 1 | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_spec_can_pivot_to_multi_measure_cols | assert | string_literal | 24 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
@pytest.... | "x" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_flatten_vars | assert | string_literal | 20 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | "a" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_flatten_vars | assert | string_literal | 21 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | "b" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_VarList_getitem | assert | string_literal | 22 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | "c" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_siu.py | test_call_tree_local_sub_attr_method | assert | string_literal | 33 | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
">>",
"&",
"^",
"|"
]
def _():
retu... | 'x' | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_summarize_removes_1_grouping | assert | string_literal | 26 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | "a" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_spread.py | test_spread_grouped_df | assert | string_literal | 30 | from siuba import spread, gather, _
from pandas.testing import assert_frame_equal
import pandas as pd
import pytest
def df():
return pd.DataFrame({
'id': [1, 1, 2],
'm': ['a', 'b', 'b'],
'v': [1,2,3]
})
def wide_df():
return pd.DataFrame({
'id': [1,2],
'a': [1,... | "id" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_siu.py | test_call_tree_local_sub_attr_alone | assert | string_literal | 34 | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
">>",
"&",
"^",
"|"
]
def _():
retu... | "str" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_sql_utils.py | test_mock_sqlalchemy_engine_dialect | assert | string_literal | 12 | from siuba.sql.utils import get_dialect_translator, mock_sqlalchemy_engine
from siuba.sql.verbs import collect
from siuba.sql import LazyTbl
import pytest
def test_mock_sqlalchemy_engine_dialect():
engine = mock_sqlalchemy_engine("postgresql")
assert engine.dialect.name == "postgresql"
engine = mock_sqlal... | "sqlite" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_nest_grouped | assert | string_literal | 20 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | "language" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | assert | string_literal | 27 | import numpy as np
import pytest
from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call, _ as D
def _():
return Symbolic()
def test_siu_symbolic_np_array_ufunc_call(_):
sym = np.add(_, 1)
expr = strip_symbolic(sym)
# structure:
# █─'__call__'
# ├─█─'__custom_func_... | "__call__" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_sql_utils.py | test_mock_sqlalchemy_engine_dialect | assert | string_literal | 9 | from siuba.sql.utils import get_dialect_translator, mock_sqlalchemy_engine
from siuba.sql.verbs import collect
from siuba.sql import LazyTbl
import pytest
def test_mock_sqlalchemy_engine_dialect():
engine = mock_sqlalchemy_engine("postgresql")
assert engine.dialect.name == | "postgresql" | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_can_drop_missing_values | assert | collection | 21 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | [1, 2] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_group_by.py | test_group_by_override | assert | collection | 18 | from siuba import _, group_by, ungroup, summarize
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, SqlBackend
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3], y = [9,8,7], g = ['a', 'a', 'b'])
def df(backend):
if not... | ("g",) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_group_by.py | test_group_by_no_add | assert | collection | 21 | from siuba import _, group_by, ungroup, summarize
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, SqlBackend
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3], y = [9,8,7], g = ['a', 'a', 'b'])
def df(backend):
if not... | ("y",) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_can_drop_missing_values | assert | collection | 20 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | ["x", "y"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_arrange.py | test_arranges_back_to_back | assert | collection | 24 | from siuba.dply.verbs import simple_varname
from siuba import _, filter, group_by, arrange, mutate, ungroup
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(x = [2,2,1], y = [2,1,1], z ... | ("x", "g") | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_arrange.py | test_arranges_back_to_back | assert | collection | 25 | from siuba.dply.verbs import simple_varname
from siuba import _, filter, group_by, arrange, mutate, ungroup
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(x = [2,2,1], y = [2,1,1], z ... | ["x", "g"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_group_by.py | test_group_by_two | assert | collection | 18 | from siuba import _, group_by, ungroup, summarize
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, SqlBackend
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3], y = [9,8,7], g = ['a', 'a', 'b'])
def df(backend):
if not... | ("x", "y") | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_summarize_keeps_group_vars | assert | collection | 23 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | ["g", "n"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_can_handle_missing_combinations | assert | collection | 25 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | [1, 2, 3, 4] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_can_override_default_output_col_type | assert | collection | 20 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | [["x"], [1]] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_spec_add_multi_columns | assert | collection | 24 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
@pytest.... | ["a", "b", "v"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_can_pivot_duplicate_names_to_value | assert | collection | 22 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | ["x", "a", "b"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_join.py | test_join_diff_vars_keeps_left | assert | collection | 44 | from siuba import (
_, group_by,
join, inner_join, left_join, right_join, full_join,
semi_join, anti_join
)
from siuba.dply.vector import row_number, n
from siuba.sql.verbs import collect
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backend... | ["ii", "x", "y"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_spec_can_pivot_to_multi_measure_cols | assert | collection | 23 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
@pytest.... | ["row", "X", "Y"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_varlist_multi_slice | assert | collection | 20 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | ["repo", "owner"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_handles_duplicate_column_names | assert | collection | 25 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | ["a", "a", "b", "b"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_can_handle_missing_combinations | assert | collection | 24 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | ["id", "n", "x", "y"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_nest_grouped | assert | collection | 24 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | (2, df1.shape[1] - 1) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/experimental/pivot/test_pivot.py | test_preserves_original_keys | assert | collection | 20 | from . import pivot_longer, pivot_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by
from siuba.tests.helpers import data_frame, assert_frame_sort_equal
from pandas.testing import assert_frame_equal, assert_series_equal
_ = Symbolic()
def test... | ["x", "name", "value"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_varlist_multi_slice_negate | assert | collection | 20 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | ["language", "stars", "x"] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/helpers.py | wrapper | pytest.raises | collection | 97 | import sqlalchemy as sqla
import uuid
from siuba.sql import LazyTbl
from siuba.dply.verbs import ungroup, collect
from siuba.siu import FunctionLookupError
from pandas.testing import assert_frame_equal
import pandas as pd
import os
import numpy as np
def data_frame(*args, _index = None, **kwargs):
if len(args):
... | (NotImplementedError, FunctionLookupError)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_group_by.py | test_group_by_ungroup | assert | func_call | 21 | from siuba import _, group_by, ungroup, summarize
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, SqlBackend
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3], y = [9,8,7], g = ['a', 'a', 'b'])
def df(backend):
if not... | tuple() | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_join.py | test_inner_join_arrange | assert | func_call | 45 | from siuba import (
_, group_by,
join, inner_join, left_join, right_join, full_join,
semi_join, anti_join
)
from siuba.dply.vector import row_number, n
from siuba.sql.verbs import collect
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backend... | tuple() | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_error.py | test_siuba_error_shortexception_from_verb | assert | func_call | 16 | from siuba.siu import error
import sys
import pytest
def last_exc():
# Note: can't really insert on sys.last_value here, and clean up after...
err = error.ShortException("testing", short = True)
yield err
def test_siuba_error_shortexception_from_verb():
err = error.ShortException.from_verb("Mutate",... | str(err) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_distinct.py | test_distinct_no_args | assert_* | func_call | 21 | from siuba.sql import LazyTbl
from siuba import _, distinct, group_by, summarize, arrange, mutate, collect
from .helpers import assert_equal_query, backend_sql
import pandas as pd
import os
import pytest
from sqlalchemy import create_engine
DATA = pd.DataFrame({
"x": [1,2,3,4,5],
"y": [5,4,3,2,1]
})
def ... | distinct(DATA)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_verb_accepts_non_range_indexing | assert | func_call | 30 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | list(res2.index) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_flatten_vars_noop | assert | func_call | 24 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | flatten_var(x)[0] | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | assert | func_call | 25 | import numpy as np
import pytest
from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call, _ as D
def _():
return Symbolic()
def test_siu_symbolic_np_array_ufunc_call(_):
sym = np.add(_, 1)
expr = strip_symbolic(sym)
# structure:
# █─'__call__'
# ├─█─'__custom_func_... | strip_symbolic(_) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_join.py | test_semi_join_no_on_arg_fail | assert | func_call | 46 | from siuba import (
_, group_by,
join, inner_join, left_join, right_join, full_join,
semi_join, anti_join
)
from siuba.dply.vector import row_number, n
from siuba.sql.verbs import collect
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backend... | str(excinfo.value) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_select.py | test_select_kwargs | assert_* | func_call | 15 | from siuba import _, mutate, select, group_by, rename
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = 1, b = 2, c = 3)
def dfs(backend):
return backend.load_df(DATA)
@pytest.mark.skip("TODO: #63")
def test_... | data_frame(x = 1)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_ungrouped_summarize_literal | assert_* | func_call | 22 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | data_frame(y = 1)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_datetime.py | test_period_floor_tick | assert_* | func_call | 37 | from pandas.tseries.offsets import Nano, Day, Hour, MonthEnd
from pandas import Timestamp
import pandas as pd
from pandas.core.arrays import DatetimeArray
import pandas.testing as tm
from pandas import offsets
from siuba.experimental.datetime import floor_date, ceil_date
import pytest
def check_floor_ceil(src, offse... | src.to_period(unit)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_sql_misc.py | test_raw_sql_summarize | assert_* | func_call | 17 | from siuba import _, group_by, mutate, filter, summarize
from siuba.sql import sql_raw
import sqlalchemy.exc
import pytest
from .helpers import assert_equal_query, data_frame, backend_sql
DATA = data_frame(x = ['a','a'], y = [1,2])
def df(backend):
return backend.load_df(DATA)
@backend_sql
def test_raw_sql_sum... | data_frame(z = [3])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_distinct.py | test_distinct_one_arg | assert_* | func_call | 26 | from siuba.sql import LazyTbl
from siuba import _, distinct, group_by, summarize, arrange, mutate, collect
from .helpers import assert_equal_query, backend_sql
import pandas as pd
import os
import pytest
from sqlalchemy import create_engine
DATA = pd.DataFrame({
"x": [1,2,3,4,5],
"y": [5,4,3,2,1]
})
def ... | distinct(DATA, _.y)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_filter.py | test_filter_before_summarize | assert_* | func_call | 19 | from siuba import _, filter, group_by, arrange, summarize
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = pd.DataFrame({
"x": [1,1,1,1],
"y": [1,1,2,2],
"z": [1,2,1,2]
})
def tes... | data_frame(z = [3])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_spread.py | test_spread_fill | assert_* | func_call | 25 | from siuba import spread, gather, _
from pandas.testing import assert_frame_equal
import pandas as pd
import pytest
def df():
return pd.DataFrame({
'id': [1, 1, 2],
'm': ['a', 'b', 'b'],
'v': [1,2,3]
})
def wide_df():
return pd.DataFrame({
'id': [1,2],
'a': [1,... | wide_df.fillna(99.)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_case_when.py | test_case_when_cond_order | assert_* | func_call | 24 | import pandas as pd
import numpy as np
import pytest
from siuba.dply.verbs import case_when
from numpy.testing import assert_equal
from siuba.siu import _
DATA = pd.DataFrame({
'x': [0,1,2],
'y': [10, 11, 12]
})
def data():
return DATA.copy()
def test_case_when_cond_order(data):
out = case_when(... | np.array([0, 0, 999])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_summarize_after_mutate_cuml_win | assert_* | func_call | 21 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | data_frame(z = [10.])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_distinct.py | test_distinct_no_args | assert_* | func_call | 20 | from siuba.sql import LazyTbl
from siuba import _, distinct, group_by, summarize, arrange, mutate, collect
from .helpers import assert_equal_query, backend_sql
import pandas as pd
import os
import pytest
from sqlalchemy import create_engine
DATA = pd.DataFrame({
"x": [1,2,3,4,5],
"y": [5,4,3,2,1]
})
def ... | DATA.drop_duplicates()) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_vector.py | test_vector_na_if | assert_* | func_call | 13 | import pytest
from pandas.testing import assert_series_equal
from siuba.dply import vector as v
from siuba.siu import _, Call, Symbolic, strip_symbolic
from pandas import Series
def x():
return Series([0,1,2])
def test_vector_na_if(x):
out = v.na_if(x, [0, 2])
assert_series_equal(out, | Series([None, 1, None])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_arrange.py | test_arrange_grouped_trivial | assert_* | func_call | 18 | from siuba.dply.verbs import simple_varname
from siuba import _, filter, group_by, arrange, mutate, ungroup
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(x = [2,2,1], y = [2,1,1], z ... | DATA.sort_values(['x'])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_transmute.py | test_transmute_basic | assert_* | func_call | 13 | from siuba import _, transmute, group_by
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
return backend.load_df(DATA)
def test_transmute_basic(dfs):
assert_equal_query(dfs, transmute(x = _.a + 1), | data_frame(x = [2,3,4])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_count.py | test_count_no_groups | assert_* | func_call | 19 | from siuba import _, group_by, summarize, count
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'])
DATA2 = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'], h = ['c', 'c', 'd', 'd'])
def df(b... | pd.DataFrame({'n': [4]})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_distinct.py | test_distinct_after_summarize | assert_* | func_call | 22 | from siuba.sql import LazyTbl
from siuba import _, distinct, group_by, summarize, arrange, mutate, collect
from .helpers import assert_equal_query, backend_sql
import pandas as pd
import os
import pytest
from sqlalchemy import create_engine
DATA = pd.DataFrame({
"x": [1,2,3,4,5],
"y": [5,4,3,2,1]
})
def ... | pd.DataFrame({'z': [0]})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_mutate.py | test_select_mutate_filter | assert_* | func_call | 15 | from siuba import _, mutate, select, group_by, summarize, filter, arrange
from siuba.dply.vector import row_number
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
retu... | data_frame(x = 1, y = 2)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_vector.py | test_filter_vector | assert_* | func_call | 72 | import pytest
from siuba import _, arrange, mutate, group_by, summarize, filter
import siuba.sql.dply
from siuba.dply import vector as v
from datetime import timedelta
from hypothesis import given, settings, example
from hypothesis.strategies import text, floats, integers
from hypothesis.extra.pandas import data_fram... | filter(simple_data, func)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_group_by.py | test_group_by_performs_mutate | assert_* | func_call | 17 | from siuba import _, group_by, ungroup, summarize
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, SqlBackend
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3], y = [9,8,7], g = ['a', 'a', 'b'])
def df(backend):
if not... | data_frame(z = 10, n = 3)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_summarize_unnamed_args | assert_* | func_call | 22 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | pd.DataFrame({'n(_)': 4})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_vector.py | test_vector_between | assert_* | func_call | 13 | import pytest
from pandas.testing import assert_series_equal
from siuba.dply import vector as v
from siuba.siu import _, Call, Symbolic, strip_symbolic
from pandas import Series
def x():
return Series([0,1,2])
def test_vector_between(x):
out = v.between(x, 0, 1)
assert_series_equal(out, | Series([True, True, False])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_vector.py | test_mutate_vector | assert_* | func_call | 69 | import pytest
from siuba import _, arrange, mutate, group_by, summarize, filter
import siuba.sql.dply
from siuba.dply import vector as v
from datetime import timedelta
from hypothesis import given, settings, example
from hypothesis.strategies import text, floats, integers
from hypothesis.extra.pandas import data_fram... | simple_data.assign(y = func)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_dply_grouped_mutate_of_agg_order | assert_* | func_call | 28 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | df.assign(g_min = [0, 1, 0])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_verb_accepts_non_range_indexing | assert_* | func_call | 32 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | res2.reset_index(drop = True)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_mutate.py | test_mutate_using_cuml_agg | assert_* | func_call | 21 | from siuba import _, mutate, select, group_by, summarize, filter, arrange
from siuba.dply.vector import row_number
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
retu... | data.assign(y = [1, 3, 3, 7])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_sql_misc.py | test_raw_sql_filter | assert_* | func_call | 17 | from siuba import _, group_by, mutate, filter, summarize
from siuba.sql import sql_raw
import sqlalchemy.exc
import pytest
from .helpers import assert_equal_query, data_frame, backend_sql
DATA = data_frame(x = ['a','a'], y = [1,2])
def df(backend):
return backend.load_df(DATA)
@backend_sql
def test_raw_sql_fil... | data_frame(x = ['a'], y = [1])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_filter.py | test_filter_before_summarize_grouped | assert_* | func_call | 19 | from siuba import _, filter, group_by, arrange, summarize
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = pd.DataFrame({
"x": [1,1,1,1],
"y": [1,1,2,2],
"z": [1,2,1,2]
})
def tes... | data_frame(g = ["b"], z = [3])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_separate.py | test_extract_regex_arg_ignores_named | assert_* | func_call | 13 | from siuba import _, group_by, separate, extract, unite
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backend_notimpl, backend_sql
DATA = data_frame(label = ["S1-E1", "S1-E2"])
def df():
return DATA.copy()
def test_extract_regex_arg_ignores_named(df):
assert_e | data_frame(season = ["1", "1"])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_distinct.py | test_distinct_after_arrange | assert_* | func_call | 22 | from siuba.sql import LazyTbl
from siuba import _, distinct, group_by, summarize, arrange, mutate, collect
from .helpers import assert_equal_query, backend_sql
import pandas as pd
import os
import pytest
from sqlalchemy import create_engine
DATA = pd.DataFrame({
"x": [1,2,3,4,5],
"y": [5,4,3,2,1]
})
def ... | pd.DataFrame({'y': [5,4,3,2,1]})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_distinct.py | test_distinct_of_mutate_col | assert_* | func_call | 22 | from siuba.sql import LazyTbl
from siuba import _, distinct, group_by, summarize, arrange, mutate, collect
from .helpers import assert_equal_query, backend_sql
import pandas as pd
import os
import pytest
from sqlalchemy import create_engine
DATA = pd.DataFrame({
"x": [1,2,3,4,5],
"y": [5,4,3,2,1]
})
def ... | pd.DataFrame({'z': [2,3,4,5,6]})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_separate.py | test_extract_remove_arg | assert_* | func_call | 13 | from siuba import _, group_by, separate, extract, unite
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backend_notimpl, backend_sql
DATA = data_frame(label = ["S1-E1", "S1-E2"])
def df():
return DATA.copy()
def test_extract_remove_arg(df):
assert_e | df.assign(season = ["S1", "S1"])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_separate.py | test_extract_default | assert_* | func_call | 13 | from siuba import _, group_by, separate, extract, unite
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backend_notimpl, backend_sql
DATA = data_frame(label = ["S1-E1", "S1-E2"])
def df():
return DATA.copy()
def test_extract_default(df):
assert_e | data_frame(season = ["S1", "S1"])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_spread.py | test_gather_drop_na | assert_* | func_call | 26 | from siuba import spread, gather, _
from pandas.testing import assert_frame_equal
import pandas as pd
import pytest
def df():
return pd.DataFrame({
'id': [1, 1, 2],
'm': ['a', 'b', 'b'],
'v': [1,2,3]
})
def wide_df():
return pd.DataFrame({
'id': [1,2],
'a': [1,... | df.assign(v = df.v.astype(float))) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_sql_misc.py | test_raw_sql_mutate | assert_* | func_call | 17 | from siuba import _, group_by, mutate, filter, summarize
from siuba.sql import sql_raw
import sqlalchemy.exc
import pytest
from .helpers import assert_equal_query, data_frame, backend_sql
DATA = data_frame(x = ['a','a'], y = [1,2])
def df(backend):
return backend.load_df(DATA)
@backend_sql
def test_raw_sql_mut... | DATA.assign(z = lambda d: d.y + 1)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_count.py | test_count_with_kwarg_expression | assert_* | func_call | 19 | from siuba import _, group_by, summarize, count
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'])
DATA2 = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'], h = ['c', 'c', 'd', 'd'])
def df(b... | pd.DataFrame({"y": [0], "n": [4]})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_filter.py | test_filter_via_group_by_agg_two_args | assert_* | func_call | 19 | from siuba import _, filter, group_by, arrange, summarize
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = pd.DataFrame({
"x": [1,1,1,1],
"y": [1,1,2,2],
"z": [1,2,1,2]
})
def tes... | data_frame(x = [4, 9], g = [1, 2])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_filter.py | test_filter_basic_two_args | assert_* | func_call | 20 | from siuba import _, filter, group_by, arrange, summarize
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = pd.DataFrame({
"x": [1,1,1,1],
"y": [1,1,2,2],
"z": [1,2,1,2]
})
def tes... | df[lambda _: (_.x > 3) & (_.y < 2)]) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_mutate.py | test_mutate_using_agg_expr | assert_* | func_call | 17 | from siuba import _, mutate, select, group_by, summarize, filter, arrange
from siuba.dply.vector import row_number
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
retu... | data.assign(y = [-.5, .5, -.5, .5])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_mutate.py | test_mutate_reassign_all_cols_keeps_rowsize | assert_* | func_call | 16 | from siuba import _, mutate, select, group_by, summarize, filter, arrange
from siuba.dply.vector import row_number
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
retu... | data_frame(a = [1,1,1], b = [2,2,2])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_mutate.py | test_mutate_window_funcs | assert_* | func_call | 18 | from siuba import _, mutate, select, group_by, summarize, filter, arrange
from siuba.dply.vector import row_number
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
retu... | data.assign(row_num = [1., 2, 1, 2])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_transmute.py | test_transmute_grouped | assert_* | func_call | 13 | from siuba import _, transmute, group_by
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
return backend.load_df(DATA)
def test_transmute_grouped(dfs):
assert_e | data_frame(a = [1,2,3], x = [2,3,4])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_count.py | test_count_no_groups_wt | assert_* | func_call | 19 | from siuba import _, group_by, summarize, count
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'])
DATA2 = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'], h = ['c', 'c', 'd', 'd'])
def df(b... | pd.DataFrame({'n': [sum([1,2,3,4])]})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_count.py | test_count_with_expression | assert_* | func_call | 19 | from siuba import _, group_by, summarize, count
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'])
DATA2 = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'], h = ['c', 'c', 'd', 'd'])
def df(b... | pd.DataFrame({"x - x": [0], "n": [4]})) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_filter.py | test_filter_via_group_by | assert_* | func_call | 24 | from siuba import _, filter, group_by, arrange, summarize
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = pd.DataFrame({
"x": [1,1,1,1],
"y": [1,1,2,2],
"z": [1,2,1,2]
})
def tes... | data_frame(x = [1,2,6,7], g = [1,1,2,2])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_filter.py | test_filter_via_group_by_arrange | assert_* | func_call | 20 | from siuba import _, filter, group_by, arrange, summarize
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = pd.DataFrame({
"x": [1,1,1,1],
"y": [1,1,2,2],
"z": [1,2,1,2]
})
@backen... | data_frame(x = [3, 3, 4], g = [1, 2, 2])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_mutate.py | test_mutate_overwrites_prev | assert_* | func_call | 17 | from siuba import _, mutate, select, group_by, summarize, filter, arrange
from siuba.dply.vector import row_number
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
retu... | data_frame(x = [3,4,5,6], g = [1,1,2,2])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_summarize_subquery_op_vars | assert_* | func_call | 23 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | data_frame(g = ['a', 'b'], low = [2, 4])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_summarize.py | test_summarize_subquery_group_vars | assert_* | func_call | 23 | from siuba import _, mutate, select, group_by, summarize, filter, show_query, arrange
from siuba.dply.vector import row_number, n
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(x = [1,2,3,4], g = ['a', 'a', 'b', 'b'... | data_frame(g2 = ['A', 'B'], low = [1, 3])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_vector.py | test_filter_vector | assert_* | func_call | 81 | import pytest
from siuba import _, arrange, mutate, group_by, summarize, filter
import siuba.sql.dply
from siuba.dply import vector as v
from datetime import timedelta
from hypothesis import given, settings, example
from hypothesis.strategies import text, floats, integers
from hypothesis.extra.pandas import data_fram... | simple_data >> group_by(_.g) >> filter(func)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_verbs.py | test_distinct_no_args | assert_* | func_call | 20 | import pytest
from siuba.dply.verbs import mutate, arrange, filter, ungroup
from siuba.siu import _
import pandas as pd
from pandas.testing import assert_frame_equal
def df1():
yield pd.DataFrame({
"repo": ["pandas", "dplyr", "ggplot2", "plotnine"],
"owner": ["pandas-dev", "tidyverse", "tidyverse"... | df.drop_duplicates().reset_index(drop = True)) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_dply_series_methods.py | test_frame_set_aggregates_postgresql | assert_* | func_call | 111 | from siuba.siu import Symbolic, strip_symbolic
from siuba.ops.support import spec
from .helpers import data_frame, assert_equal_query, backend_pandas, SqlBackend, PandasBackend
import pytest
from siuba import filter, mutate, summarize, group_by, arrange
from pandas.testing import assert_frame_equal, assert_series_equa... | data_frame(g = ['a', 'b'], result = [11., 13.])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_filter.py | test_filter_via_group_by_agg | assert_* | func_call | 19 | from siuba import _, filter, group_by, arrange, summarize
from siuba.dply.vector import row_number, desc
import pandas as pd
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
DATA = pd.DataFrame({
"x": [1,1,1,1],
"y": [1,1,2,2],
"z": [1,2,1,2]
})
def tes... | data_frame(x = [4, 5, 9, 10], g = [1, 1, 2, 2])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
machow/siuba | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | train | train | siuba/tests/test_verb_mutate.py | test_mutate_reassign_column_ordering | assert_* | func_call | 15 | from siuba import _, mutate, select, group_by, summarize, filter, arrange
from siuba.dply.vector import row_number
import pytest
from .helpers import assert_equal_query, data_frame, backend_notimpl, backend_sql
from string import ascii_lowercase
DATA = data_frame(a = [1,2,3], b = [9,8,7])
def dfs(backend):
retu... | data_frame(a = [1,1,1], b = [9,8,7], c = [3,3,3])) | ecfe2d02913def50afbd38c6b1fd3fef89d7532a | 70 | v2_extractor_at_anchor |
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