repo_id stringclasses 409
values | prefix large_stringlengths 34 36.3k | target large_stringlengths 1 498 | assertion_type stringclasses 31
values | difficulty stringclasses 8
values | test_file stringlengths 10 121 | test_function stringlengths 1 104 | test_class stringlengths 0 51 | lineno int32 2 11.3k | commit_idx int32 |
|---|---|---|---|---|---|---|---|---|---|
machow/siuba | 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 ... | ("g",) | assert | collection | siuba/tests/test_verb_arrange.py | test_arranges_back_to_back | 86 | null | |
machow/siuba | 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" | assert | string_literal | siuba/tests/test_verb_spread.py | test_spread_grouped_df | 58 | null | |
machow/siuba | 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.strategies import text, floats, integers
from hypothesis.extra.pandas import data_frames, column, indexes
from .helpers import asser... | simple_data >> group_by(_.g) >> filter(func)) | assert_* | func_call | siuba/tests/test_dply_vector.py | test_filter_vector | 136 | null | |
machow/siuba | import numpy as np
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" | assert | string_literal | siuba/tests/test_verb_summarize.py | test_summarize_removes_1_grouping | 121 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_filter.py | test_filter_before_summarize_grouped | 104 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_mutate.py | test_mutate_reassign_all_cols_keeps_rowsize | 72 | null | |
machow/siuba | import pytest
from siuba.tests.helpers import data_frame
import pandas as pd
from siuba.experimental.pd_groups.translate import method_agg_op, method_el_op, method_el_op2
from siuba.experimental.pd_groups.groupby import broadcast_agg
data_dt = data_frame(
g = ['a', 'a', 'b', 'b'],
x = pd.to_datetime(["2019-01... | cls_result | assert | variable | siuba/experimental/pd_groups/test_pd_groups.py | test_grouped_translator_methods | 71 | null | |
machow/siuba | import pytest
from siuba.siu.calls import PipeCall
from siuba.siu.dispatchers import call
from siuba.siu import _, strip_symbolic, Symbolic
def test_siu_call_kwarg():
assert "," >> call("a,b,c".split, _, maxsplit=1) == | ["a", "b,c"] | assert | collection | siuba/tests/test_siu_dispatchers.py | test_siu_call_kwarg | 30 | null | |
machow/siuba | import pytest
from siuba.siu.calls import PipeCall
from siuba.siu.dispatchers import call
from siuba.siu import _, strip_symbolic, Symbolic
def test_siu_call_underscore_arg():
assert 1 >> call(range, 2, 3, _) == | range(2, 3, 1) | assert | func_call | siuba/tests/test_siu_dispatchers.py | test_siu_call_underscore_arg | 46 | null | |
machow/siuba | 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,... | long) | assert_* | variable | siuba/tests/test_verb_spread.py | test_gather | 71 | null | |
machow/siuba | 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 | assert | numeric_literal | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | 27 | null | |
machow/siuba | 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) | assert_* | variable | siuba/tests/test_dply_datetime.py | check_floor_ceil | 20 | null | |
machow/siuba | 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) | assert | func_call | siuba/tests/test_dply_verbs.py | test_verb_accepts_non_range_indexing | 37 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | 5 | assert | numeric_literal | siuba/tests/test_siu.py | test_symbolic_dispatch | 289 | null | |
machow/siuba | import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_frame_equal, assert_series_equal
from siuba.dply.verbs import collect
from siuba.siu import Symbolic
from siuba.tests.helpers import data_frame
from . import pivot_wider, pivot_wider_spec, build_wider_spec
from .test_pivot import ... | msg | assert | variable | siuba/experimental/pivot/test_pivot_wide.py | test_id_cols_no_column_match_error | 457 | null | |
machow/siuba | 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_separate_into_replace_column():
src = data_fram... | dst) | assert_* | variable | siuba/tests/test_verb_separate.py | test_separate_into_replace_column | 30 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | left | assert | variable | siuba/tests/test_siu.py | test_explain_binary | 119 | null | |
machow/siuba | 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)) | assert_* | func_call | siuba/tests/test_verb_distinct.py | test_distinct_no_args | 27 | null | |
machow/siuba | import pandas as pd
import pytest
from siuba.dply.forcats import fct_reorder, fct_recode, fct_collapse, fct_lump, fct_inorder, fct_infreq
from pandas import Categorical
def assert_fct_equal(x, y):
return assert_categorical_equal(x, y)
@pytest.mark.parametrize("x, dst_categories", [
(["c", "a", "c", "b", "b"... | dst) | assert_* | variable | siuba/tests/test_dply_forcats.py | test_fct_inorder | 29 | null | |
machow/siuba | import numpy as np
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 =... | data_frame(g = [missing], res = [1])) | assert_* | func_call | siuba/tests/test_verb_summarize.py | test_summarize_keeps_na_grouping_cols | 61 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_filter.py | test_filter_via_group_by_arrange | 74 | null | |
machow/siuba | 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(g = [1,2], avg = [1,2], avg_avg = 1.5)) | assert_* | func_call | siuba/tests/test_verb_mutate.py | test_mutate_after_summarize_on_derived_column | 148 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | 3 | assert | numeric_literal | siuba/tests/test_siu.py | test_sym_slice_multiple | 196 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | code | assert | variable | siuba/tests/test_siu.py | test_explain_unary | 112 | null | |
machow/siuba | 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) | assert | func_call | siuba/tests/test_error.py | test_siuba_error_shortexception_from_verb | 28 | null | |
machow/siuba | from siuba import _, group_by, ungroup, summarize, collect
from siuba.dply.vector import row_number, n
from siuba.dply import verbs
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', '... | ("g",) | assert | collection | siuba/tests/test_verb_group_by.py | test_group_by_override | 30 | null | |
machow/siuba | 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"])) | assert_* | func_call | siuba/tests/test_verb_separate.py | test_extract_default | 20 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | target | assert | variable | siuba/tests/test_siu.py | test_slice_call_returns | 227 | null | |
machow/siuba | 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)) | assert_* | func_call | siuba/tests/test_verb_distinct.py | test_distinct_one_arg | 36 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | exc_info.value.args[0] | assert | complex_expr | siuba/tests/test_verb_count.py | test_count_name_manual_conflict | 170 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | 'x' | assert | string_literal | siuba/tests/test_siu.py | test_call_tree_local_sub_attr_method | 314 | null | |
machow/siuba | 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.parametrize("query, output"... | output) | assert_* | variable | siuba/tests/test_verb_select.py | test_select_siu | 29 | null | |
machow/siuba | 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_... | np.add | assert | complex_expr | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | 29 | null | |
machow/siuba | 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)) | assert_* | func_call | siuba/tests/test_dply_datetime.py | test_period_floor_tick | 93 | null | |
machow/siuba | 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.dply.verbs import collect
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backen... | data.iloc[:2,]) | assert_* | complex_expr | siuba/tests/test_verb_join.py | test_join_on_same_col_multiple_times | 82 | null | |
machow/siuba | import numpy as np
import pytest
from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call, _ as D
def _():
return Symbolic()
@pytest.mark.parametrize("sym, res", [
(np.mean(D), lambda ser : np.mean(ser)), # __array_function__
(np.sum(D), lambda ser: np.sum(ser)),
(np.sq... | dst | assert | variable | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_array_function_pandas | 123 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | pd.DataFrame({"g": ["az", "bz"], "n": [2, 2]})) | assert_* | func_call | siuba/tests/test_verb_count.py | test_count_on_grouped_df_when_mutating_group_key | 120 | null | |
machow/siuba | 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.strategies import text, floats, integers
from hypothesis.extra.pandas import data_frames, column, indexes
from .helpers import asser... | simple_data.assign(y = func)) | assert_* | func_call | siuba/tests/test_dply_vector.py | test_mutate_vector | 77 | null | |
machow/siuba | from siuba import group_by, mutate, collect
from siuba.siu import _
from siuba.sql import LazyTbl
from siuba.sql.dialects.base import translator
from sqlalchemy import sql
from sqlalchemy import Table, Column, Integer, String, MetaData, ForeignKey
from sqlalchemy import create_engine
from pandas.testing import asser... | out2) | assert_* | variable | siuba/tests/test_sql_verbs.py | test_sql_mutate | 91 | null | |
machow/siuba | from siuba.siu import Symbolic, strip_symbolic
from siuba.ops.support import spec
from .helpers import (
data_frame,
assert_equal_query,
backend_pandas,
pd_version,
SqlBackend,
PandasBackend
)
import pytest
from siuba import filter, mutate, summarize, group_by, arrange
from pandas.testing impor... | g_dst) | assert_* | variable | siuba/tests/test_dply_series_methods.py | test_frame_mutate | 293 | null | |
machow/siuba | import numpy as np
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 =... | data_frame(high = 3)) | assert_* | func_call | siuba/tests/test_verb_summarize.py | test_summarize_back_to_back | 203 | null | |
machow/siuba | 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 | assert | numeric_literal | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | 32 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_filter.py | test_filter_via_group_by_agg | 53 | null | |
machow/siuba | from siuba.siu import Symbolic, strip_symbolic
from siuba.ops.support import spec
from .helpers import (
data_frame,
assert_equal_query,
backend_pandas,
pd_version,
SqlBackend,
PandasBackend
)
import pytest
from siuba import filter, mutate, summarize, group_by, arrange
from pandas.testing impor... | dst.__class__ | assert | complex_expr | siuba/tests/test_dply_series_methods.py | test_series_against_call | 220 | null | |
machow/siuba | import pytest
from siuba.siu.calls import PipeCall
from siuba.siu.dispatchers import call
from siuba.siu import _, strip_symbolic, Symbolic
def test_siu_call_pos_arg():
assert 1 >> call(range, _, 2) == | range(1, 2) | assert | func_call | siuba/tests/test_siu_dispatchers.py | test_siu_call_pos_arg | 26 | null | |
machow/siuba | from . import pivot_longer, pivot_longer_spec, build_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by, collect, show_query
from siuba.tests.helpers import data_frame, assert_equal_query, assert_frame_sort_equal
from pandas.testing import asser... | ["x"] | assert | collection | siuba/experimental/pivot/test_pivot.py | test_spec_can_pivot_to_multi_measure_cols | 168 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | pd.DataFrame({'g': ['a', 'b'], 'n': [1 + 2, 3 + 4]})) | assert_* | func_call | siuba/tests/test_verb_count.py | test_count_wt | 62 | null | |
machow/siuba | import sqlalchemy as sqla
import uuid
import re
from siuba.sql import LazyTbl
from siuba.sql.utils import _is_dialect_duckdb
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_f... | sorted_b) | assert_* | variable | siuba/tests/helpers.py | assert_frame_sort_equal | 224 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_vector.py | test_vector_na_if | 62 | null | |
machow/siuba | import pytest
from siuba.siu.calls import PipeCall
from siuba.siu.dispatchers import call
from siuba.siu import _, strip_symbolic, Symbolic
def test_siu_pipe_call_is_flat():
pipe_expr = _ >> _.a >> _.b
pipe_call = strip_symbolic(pipe_expr)
assert isinstance(pipe_expr, Symbolic)
assert isinstance(pipe... | 4 | assert | numeric_literal | siuba/tests/test_siu_dispatchers.py | test_siu_pipe_call_is_flat | 17 | null | |
machow/siuba | import numpy as np
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 =... | data_frame(y = 1)) | assert_* | func_call | siuba/tests/test_verb_summarize.py | test_ungrouped_summarize_literal | 41 | null | |
machow/siuba | 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]})) | assert_* | func_call | siuba/tests/test_verb_distinct.py | test_distinct_of_mutate_col | 86 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | dst | assert | variable | siuba/tests/test_siu.py | test_symbol_rhs_exec | 144 | null | |
machow/siuba | import pytest
from .helpers import assert_equal_query, data_frame
from siuba import _, head, group_by, arrange
DATA = data_frame(a = [1,2,3,4,5,6], g = ["x", "y"] * 3)
def df(backend):
# Note that we use arrange the data, so that cloud backends that do not
# guarantee order without ORDER BY will return the r... | DATA.iloc[:5,:]) | assert_* | complex_expr | siuba/tests/test_verb_head.py | test_head_default | 18 | null | |
machow/siuba | 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.)) | assert_* | func_call | siuba/tests/test_verb_spread.py | test_spread_fill | 47 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | pd.DataFrame({"y": [0], "n": [4]})) | assert_* | func_call | siuba/tests/test_verb_count.py | test_count_with_kwarg_expression | 45 | null | |
machow/siuba | 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"])) | assert_* | func_call | siuba/tests/test_verb_separate.py | test_extract_remove_arg | 109 | null | |
machow/siuba | 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.dply.verbs import collect
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backen... | DF1.iloc[:1,]) | assert_* | complex_expr | siuba/tests/test_verb_join.py | test_semi_join_no_on_arg | 176 | null | |
machow/siuba | 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"])) | assert_* | func_call | siuba/tests/test_verb_separate.py | test_extract_regex_arg_ignores_named | 63 | null | |
machow/siuba | import pytest
import pandas as pd
from numpy.testing import assert_equal
from pandas.testing import assert_series_equal, assert_index_equal
from siuba.dply.forcats import fct_recode, fct_collapse
def series1():
yield pd.Series(["a", "b", "c", "d"])
def cat1():
yield pd.Categorical(["a", "b", "c", "d"])
def f... | b.ordered | assert | complex_expr | siuba/tests/test_forcats.py | assert_cat_equal | 30 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_mutate.py | test_mutate_reassign_column_ordering | 65 | null | |
machow/siuba | from . import pivot_longer, pivot_longer_spec, build_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by, collect, show_query
from siuba.tests.helpers import data_frame, assert_equal_query, assert_frame_sort_equal
from pandas.testing import asser... | [1] | assert | collection | siuba/experimental/pivot/test_pivot.py | test_spec_can_pivot_to_multi_measure_cols | 169 | null | |
machow/siuba | import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_frame_equal, assert_series_equal
from siuba.dply.verbs import collect
from siuba.siu import Symbolic
from siuba.tests.helpers import data_frame
from . import pivot_wider, pivot_wider_spec, build_wider_spec
from .test_pivot import ... | ValueError) | pytest.raises | variable | siuba/experimental/pivot/test_pivot_wide.py | test_error_overwriting_existing_column | 77 | null | |
machow/siuba | 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 | assert | numeric_literal | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_function | 68 | null | |
machow/siuba | from siuba.siu import strip_symbolic, FunctionLookupError, Symbolic, MetaArg, Call
import pytest
BINARY_OPS = [
"+",
"-",
"*",
"@",
"//",
#truediv
#divmod
"/",
"%",
#"_ ** _", #TODO: uses different formatting
"<<",
#">>",
"&",
"^",
"|"
]
def _():
ret... | right | assert | variable | siuba/tests/test_siu.py | test_explain_binary | 124 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_mutate.py | test_mutate_window_funcs | 93 | null | |
machow/siuba | from siuba import group_by, mutate, collect
from siuba.siu import _
from siuba.sql import LazyTbl
from siuba.sql.dialects.base import translator
from sqlalchemy import sql
from sqlalchemy import Table, Column, Integer, String, MetaData, ForeignKey
from sqlalchemy import create_engine
from pandas.testing import asser... | error) | pytest.raises | variable | siuba/tests/test_sql_verbs.py | tets_sql_group_by_fail | 113 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | pd.DataFrame({'n': [sum([1,2,3,4])]})) | assert_* | func_call | siuba/tests/test_verb_count.py | test_count_no_groups_wt | 96 | null | |
machow/siuba | 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)) | assert_* | func_call | siuba/tests/test_dply_verbs.py | test_verb_accepts_non_range_indexing | 39 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | pd.DataFrame({"x - x": [0], "n": [4]})) | assert_* | func_call | siuba/tests/test_verb_count.py | test_count_with_expression | 37 | null | |
machow/siuba | 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)) | assert_* | func_call | siuba/tests/test_dply_verbs.py | test_distinct_no_args | 116 | null | |
machow/siuba | from siuba.siu import Symbolic, strip_symbolic
from siuba.ops.support import spec
from .helpers import (
data_frame,
assert_equal_query,
backend_pandas,
pd_version,
SqlBackend,
PandasBackend
)
import pytest
from siuba import filter, mutate, summarize, group_by, arrange
from pandas.testing impor... | dst.obj) | assert_* | complex_expr | siuba/tests/test_dply_series_methods.py | test_pandas_grouped_frame_fast_mutate | 324 | null | |
machow/siuba | 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.dply.verbs import collect
import pytest
from .helpers import assert_equal_query, assert_frame_sort_equal, data_frame, backen... | tuple() | assert | func_call | siuba/tests/test_verb_join.py | test_inner_join_arrange | 222 | null | |
machow/siuba | 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'])) | assert_* | func_call | siuba/tests/test_verb_arrange.py | test_arrange_grouped_trivial | 47 | null | |
machow/siuba | from siuba import _, group_by, ungroup, summarize, collect
from siuba.dply.vector import row_number, n
from siuba.dply import verbs
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', '... | res) | assert_* | variable | siuba/tests/test_verb_group_by.py | test_group_by_equiv_with_groupings | 97 | null | |
machow/siuba | 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 ... | output) | assert_* | variable | siuba/tests/test_verb_arrange.py | test_basic_arrange | 25 | null | |
machow/siuba | 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" | assert | string_literal | siuba/tests/test_dply_verbs.py | test_VarList_getitem | 107 | null | |
machow/siuba | import numpy as np
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 =... | output) | assert_* | variable | siuba/tests/test_verb_summarize.py | test_summarize_ungrouped | 36 | null | |
machow/siuba | 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]})) | assert_* | func_call | siuba/tests/test_verb_distinct.py | test_distinct_after_arrange | 80 | null | |
machow/siuba | 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(g = [1,2], avg = [1,2], avg_g = 1.5)) | assert_* | func_call | siuba/tests/test_verb_mutate.py | test_mutate_after_summarize_on_non_derived_column | 137 | null | |
machow/siuba | import pandas as pd
import numpy as np
import pytest
from pandas.testing import assert_series_equal
from numpy.testing import assert_equal
from siuba.tests.helpers import assert_equal_query
from siuba.siu import _
from siuba.dply.verbs import case_when, mutate
DATA = pd.DataFrame({
'x': [0,1,2],
'y': [10, 11... | pd.Series([0, 0, 999])) | assert_* | func_call | siuba/tests/test_verb_case_when.py | test_case_when_cond_order | 55 | null | |
machow/siuba | 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 ... | dst) | assert_* | variable | siuba/tests/test_verb_distinct.py | test_distinct_kwargs | 94 | null | |
machow/siuba | from siuba.sql.utils import get_dialect_translator, mock_sqlalchemy_engine
from siuba.dply.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" | assert | string_literal | siuba/tests/test_sql_utils.py | test_mock_sqlalchemy_engine_dialect | 16 | null | |
machow/siuba | import pytest
from siuba.siu.calls import PipeCall
from siuba.siu.dispatchers import call
from siuba.siu import _, strip_symbolic, Symbolic
def test_siu_call_no_args():
assert 1 >> call(range) == | range(1) | assert | func_call | siuba/tests/test_siu_dispatchers.py | test_siu_call_no_args | 20 | null | |
machow/siuba | from . import pivot_longer, pivot_longer_spec, build_longer_spec
import pytest
import pandas as pd
import numpy as np
from siuba.siu import Symbolic
from siuba import group_by, collect, show_query
from siuba.tests.helpers import data_frame, assert_equal_query, assert_frame_sort_equal
from pandas.testing import asser... | ["x", "1"] | assert | collection | siuba/experimental/pivot/test_pivot.py | test_can_override_default_output_col_type | 158 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_transmute.py | test_transmute_basic | 14 | null | |
machow/siuba | 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"... | out2) | assert_* | variable | siuba/tests/test_dply_verbs.py | test_dply_mutate | 52 | null | |
machow/siuba | 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... | ser_src) | assert_* | variable | siuba/tests/test_dply_datetime.py | check_floor_ceil | 28 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | ValueError) | pytest.raises | variable | siuba/tests/test_verb_count.py | test_count_name_manual_conflict | 167 | null | |
machow/siuba | 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 ... | ["g"] | assert | collection | siuba/tests/test_verb_arrange.py | test_arranges_back_to_back | 87 | null | |
machow/siuba | 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,... | ["m", "v"] | assert | collection | siuba/tests/test_verb_spread.py | test_gather_no_selection_gathers_all | 92 | null | |
machow/siuba | import pandas as pd
import numpy as np
import pytest
from pandas.testing import assert_series_equal
from numpy.testing import assert_equal
from siuba.tests.helpers import assert_equal_query
from siuba.siu import _
from siuba.dply.verbs import case_when, mutate
DATA = pd.DataFrame({
'x': [0,1,2],
'y': [10, 11... | data.assign(res = ["zero", "small", "big"])) | assert_* | func_call | siuba/tests/test_verb_case_when.py | test_case_when_multiple_clauses | 46 | null | |
machow/siuba | from siuba import _, group_by, summarize, count, add_count, collect
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', ... | DATA.assign(y = 0, n = 4)) | assert_* | func_call | siuba/tests/test_verb_count.py | test_add_count_with_kwarg_expression | 53 | null | |
machow/siuba | from siuba.siu import Symbolic, strip_symbolic
from siuba.ops.support import spec
from .helpers import (
data_frame,
assert_equal_query,
backend_pandas,
pd_version,
SqlBackend,
PandasBackend
)
import pytest
from siuba import filter, mutate, summarize, group_by, arrange
from pandas.testing impor... | dst_g) | assert_* | variable | siuba/tests/test_dply_series_methods.py | test_frame_summarize | 366 | null | |
machow/siuba | import pytest
from siuba.siu.calls import PipeCall
from siuba.siu.dispatchers import call
from siuba.siu import _, strip_symbolic, Symbolic
def test_siu_call_arg_kwarg():
assert 1 >> call("{0}_{1}_{b}".format, _, 2, b=3) == | "1_2_3" | assert | string_literal | siuba/tests/test_siu_dispatchers.py | test_siu_call_arg_kwarg | 42 | null | |
machow/siuba | 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])) | assert_* | func_call | siuba/tests/test_verb_transmute.py | test_transmute_grouped | 17 | null | |
machow/siuba | 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__" | assert | string_literal | siuba/tests/test_siu_symbolic.py | test_siu_symbolic_np_array_ufunc_call | 30 | null | |
machow/siuba | from siuba import _, group_by, ungroup, summarize, collect
from siuba.dply.vector import row_number, n
from siuba.dply import verbs
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', '... | tuple() | assert | func_call | siuba/tests/test_verb_group_by.py | test_group_by_ungroup | 49 | null | |
machow/siuba | from siuba.siu import Symbolic, strip_symbolic
from siuba.ops.support import spec
from .helpers import (
data_frame,
assert_equal_query,
backend_pandas,
pd_version,
SqlBackend,
PandasBackend
)
import pytest
from siuba import filter, mutate, summarize, group_by, arrange
from pandas.testing impor... | dst) | assert_* | variable | siuba/tests/test_dply_series_methods.py | test_series_against_call | 221 | null | |
machow/siuba | 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()) | assert_* | func_call | siuba/tests/test_verb_distinct.py | test_distinct_no_args | 26 | null |
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