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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_string_operations | assert | numeric_literal | 25 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | 7 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_string_operations | assert | numeric_literal | 26 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | 0 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_dates | assert | numeric_literal | 25 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | 3 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_dates | assert | numeric_literal | 35 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | 4 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_context.py | test_deprecation_warning | assert | numeric_literal | 22 | import warnings
import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.mappings import python_to_sql_type
from tests.utils import assert_eq
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_deprecation_warning(gpu):
c = ... | 1 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_context.py | test_function_adding | assert | numeric_literal | 23 | import warnings
import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.mappings import python_to_sql_type
from tests.utils import assert_eq
def test_function_adding():
c = Context()
assert not c.schema[c.schema_name].function_lists
assert not c.schema[c.... | 2 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_context.py | test_function_adding | assert | numeric_literal | 52 | import warnings
import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.mappings import python_to_sql_type
from tests.utils import assert_eq
def test_function_adding():
c = Context()
assert not c.schema[c.schema_name].function_lists
assert not c.schema[c.... | 4 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_jdbc.py | test_jdbc_has_schema | assert_* | numeric_literal | 53 | import os
from time import sleep
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
from dask_sql.server.presto_jdbc import create_meta_data
pytest.importorskip("requests")
schema = "a_schema"
table = "a_table"
def c():
c = Context()
c.create_schem... | 3) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_jdbc.py | test_jdbc_has_table | assert_* | numeric_literal | 50 | import os
from time import sleep
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
from dask_sql.server.presto_jdbc import create_meta_data
pytest.importorskip("requests")
schema = "a_schema"
table = "a_table"
def c():
c = Context()
c.create_schem... | 4) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_string_operations | assert | numeric_literal | 22 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | 15 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_dates | assert | numeric_literal | 24 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | 20 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_jdbc.py | test_jdbc_has_schema | assert | numeric_literal | 50 | import os
from time import sleep
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
from dask_sql.server.presto_jdbc import create_meta_data
pytest.importorskip("requests")
schema = "a_schema"
table = "a_table"
def c():
c = Context()
c.create_schem... | 200 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_jdbc.py | get_result_or_error | assert | numeric_literal | 85 | import os
from time import sleep
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
from dask_sql.server.presto_jdbc import create_meta_data
pytest.importorskip("requests")
schema = "a_schema"
table = "a_table"
def c():
c = Context()
c.create_schem... | 100 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_server.py | test_routes | assert | numeric_literal | 27 | import os
from time import sleep
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
pytest.importorskip("requests")
def app_client():
c = Context()
c.sql("SELECT 1 + 1").compute()
_init_app(app, c)
# late import for the importskip
from fastapi.testclient i... | 200 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_server.py | test_routes | assert | numeric_literal | 28 | import os
from time import sleep
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
pytest.importorskip("requests")
def app_client():
c = Context()
c.sql("SELECT 1 + 1").compute()
_init_app(app, c)
# late import for the importskip
from fastapi.testclient i... | 405 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_server.py | test_routes | assert | numeric_literal | 30 | import os
from time import sleep
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
pytest.importorskip("requests")
def app_client():
c = Context()
c.sql("SELECT 1 + 1").compute()
_init_app(app, c)
# late import for the importskip
from fastapi.testclient i... | 404 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_server.py | test_add_and_query | assert | numeric_literal | 65 | import os
from time import sleep
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
pytest.importorskip("requests")
def app_client():
c = Context()
c.sql("SELECT 1 + 1").compute()
_init_app(app, c)
# late import for the importskip
from fastapi.testclient i... | 700 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_server.py | get_result_or_error | assert | numeric_literal | 49 | import os
from time import sleep
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
pytest.importorskip("requests")
def app_client():
c = Context()
c.sql("SELECT 1 + 1").compute()
_init_app(app, c)
# late import for the importskip
from fastapi.testclient i... | 100 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_config.py | test_env_variable | assert | numeric_literal | 14 | import os
from unittest import mock
import pytest
import yaml
from dask import config as dask_config
import dask_sql # noqa: F401
def test_env_variable():
with mock.patch.dict("os.environ", {"DASK_SQL__AGGREGATE__SPLIT_OUT": "200"}):
dask_config.refresh()
assert dask_config.get("sql.aggregate.s... | 200 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_mapping.py | test_sql_to_python | assert | numeric_literal | 13 | from datetime import timedelta
import numpy as np
import pandas as pd
from dask_planner.rust import SqlTypeName
from dask_sql.mappings import python_to_sql_type, similar_type, sql_to_python_value
def test_sql_to_python():
assert sql_to_python_value(SqlTypeName.VARCHAR, "test 123") == "test 123"
assert type(s... | 653 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_ml_utils.py | test_incremental_basic | assert | numeric_literal | 155 | import os
from collections.abc import Sequence
import dask
import dask.array as da
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from dask.array.utils import assert_eq as assert_eq_ar
from dask.dataframe.utils import assert_eq as assert_eq_df
from sklearn.base import clone
from sklea... | 0.9 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_ml_utils.py | test_incremental_basic | assert | numeric_literal | 168 | import os
from collections.abc import Sequence
import dask
import dask.array as da
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from dask.array.utils import assert_eq as assert_eq_ar
from dask.dataframe.utils import assert_eq as assert_eq_df
from sklearn.base import clone
from sklea... | 0.3 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_ml_utils.py | test_incremental_basic | assert | numeric_literal | 173 | import os
from collections.abc import Sequence
import dask
import dask.array as da
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from dask.array.utils import assert_eq as assert_eq_ar
from dask.dataframe.utils import assert_eq as assert_eq_df
from sklearn.base import clone
from sklea... | 0.1 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_ml_utils.py | test_incremental_basic | assert | func_call | 157 | import os
from collections.abc import Sequence
import dask
import dask.array as da
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from dask.array.utils import assert_eq as assert_eq_ar
from dask.dataframe.utils import assert_eq as assert_eq_df
from sklearn.base import clone
from sklea... | set(dir(est2)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_multiple_column_projection | assert_* | func_call | 26 | import numpy as np
import pandas as pd
import pytest
from dask.dataframe.optimize import optimize_dataframe_getitem
from dask.utils_test import hlg_layer
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
@pytest.mark.parametrize(
"input_cols",
[
["a"],
["a", "b"],
... | len(input_cols)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics | assert | func_call | 16 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.physical.utils.statistics import parquet_statistics
@pytest.mark.parametrize("parallel", [None, False, 2])
def test_parquet_statistics(parquet_ddf, parallel):
# Check simple num-rows statistics
stats = parquet_statistics(parquet_ddf,... | len(parquet_ddf) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_multiple_column_projection | assert | func_call | 28 | import numpy as np
import pandas as pd
import pytest
from dask.dataframe.optimize import optimize_dataframe_getitem
from dask.utils_test import hlg_layer
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
@pytest.mark.parametrize(
"input_cols",
[
["a"],
["a", "b"],
... | sorted(input_cols) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_filter.py | test_string_filter | assert_* | func_call | 17 | import dask
import dask.dataframe as dd
import pandas as pd
import pytest
from dask.utils_test import hlg_layer
from packaging.version import parse as parseVersion
from dask_sql._compat import INT_NAN_IMPLEMENTED
from tests.utils import assert_eq
DASK_GT_2022_4_2 = parseVersion(dask.__version__) >= parseVersion("2022... | string_table.head(1)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_case | assert_* | func_call | 23 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | pd.Series([3, 2, 3])) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_math_operations | assert_* | func_call | 21 | import operator
from datetime import datetime
from unittest.mock import MagicMock
import dask.dataframe as dd
import numpy as np
import pandas as pd
import dask_sql.physical.rex.core.call as call
from tests.utils import assert_eq
df1 = dd.from_pandas(pd.DataFrame({"a": [1, 2, 3]}), npartitions=1)
df2 = dd.from_panda... | pd.Series([1, 2, 3])) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_config.py | test_custom_yaml | assert | func_call | 23 | import os
from unittest import mock
import pytest
import yaml
from dask import config as dask_config
import dask_sql # noqa: F401
def test_custom_yaml(tmpdir):
custom_config = {}
custom_config["sql"] = dask_config.get("sql")
custom_config["sql"]["aggregate"]["split_out"] = 16
custom_config["sql"]["f... | dask_config.get("sql") | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_create.py | test_replace_and_error | assert_* | func_call | 20 | import dask.dataframe as dd
import pandas as pd
import pytest
import dask_sql
from tests.utils import assert_eq
def test_replace_and_error(c, temporary_data_file, df):
c.sql(
"""
CREATE TABLE
new_table
AS (
SELECT 1 AS a
)
"""
)
asse | pd.DataFrame({"a": [1]})) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_fugue.py | assert_fsql | assert_* | func_call | 15 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql import Context
from tests.integration.fixtures import xfail_if_external_scheduler
from tests.utils import assert_eq
fugue_sql = pytest.importorskip("fugue_sql")
from dask_sql.integrations.fugue import fsql_dask # noqa: E402
def assert_... | pd.DataFrame({"a": [1]})) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_create.py | test_view_table_persist | assert_* | func_call | 65 | import dask.dataframe as dd
import pandas as pd
import pytest
import dask_sql
from tests.utils import assert_eq
@pytest.mark.parametrize(
"gpu",
[
False,
pytest.param(
True,
marks=pytest.mark.gpu,
),
],
)
def test_view_table_persist(c, temporary_data_file, d... | pd.DataFrame({"c": [10]})) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_schema.py | test_table_schema | assert_* | func_call | 16 | import dask.dataframe as dd
import numpy as np
import pytest
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
@pytest.mark.xfail(reason="WIP DataFusion")
def test_table_schema(c, df):
original_df = c.sql("SELECT * FROM df")
assert_eq(original_df, c.sql("SELECT * FROM root.df"))
... | c.sql("SELECT * FROM df")) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_schema.py | test_table_schema | assert_* | func_call | 22 | import dask.dataframe as dd
import numpy as np
import pytest
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
@pytest.mark.xfail(reason="WIP DataFusion")
def test_table_schema(c, df):
original_df = c.sql("SELECT * FROM df")
assert_eq(original_df, c.sql("SELECT * FROM root.df"))
... | c.sql("SELECT * FROM bar")) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_mapping.py | test_sql_to_python | assert | func_call | 14 | from datetime import timedelta
import numpy as np
import pandas as pd
from dask_planner.rust import SqlTypeName
from dask_sql.mappings import python_to_sql_type, similar_type, sql_to_python_value
def test_sql_to_python():
assert sql_to_python_value(SqlTypeName.VARCHAR, "test 123") == "test 123"
assert type(s... | timedelta(microseconds=4000) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics | assert | func_call | 28 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.physical.utils.statistics import parquet_statistics
@pytest.mark.parametrize("parallel", [None, False, 2])
def test_parquet_statistics(parquet_ddf, parallel):
# Check simple num-rows statistics
stats = parquet_statistics(parquet_ddf,... | parquet_ddf["b"].min().compute() | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics | assert | func_call | 29 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.physical.utils.statistics import parquet_statistics
@pytest.mark.parametrize("parallel", [None, False, 2])
def test_parquet_statistics(parquet_ddf, parallel):
# Check simple num-rows statistics
stats = parquet_statistics(parquet_ddf,... | parquet_ddf["b"].max().compute() | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sample.py | test_sample | assert_* | func_call | 28 | import numpy as np
import pytest
from tests.utils import assert_eq
def get_system_sample(df, fraction, seed):
random_state = np.random.RandomState(seed)
random_choice = random_state.choice(
[True, False],
size=df.npartitions,
replace=True,
p=[fraction, 1 - fraction],
)
... | get_system_sample(ddf, 0.20, 10)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sample.py | test_sample | assert_* | func_call | 32 | import numpy as np
import pytest
from tests.utils import assert_eq
def get_system_sample(df, fraction, seed):
random_state = np.random.RandomState(seed)
random_choice = random_state.choice(
[True, False],
size=df.npartitions,
replace=True,
p=[fraction, 1 - fraction],
)
... | get_system_sample(ddf, 0.20, 11)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sample.py | test_sample | assert_* | func_call | 36 | import numpy as np
import pytest
from tests.utils import assert_eq
def get_system_sample(df, fraction, seed):
random_state = np.random.RandomState(seed)
random_choice = random_state.choice(
[True, False],
size=df.npartitions,
replace=True,
p=[fraction, 1 - fraction],
)
... | get_system_sample(ddf, 0.50, 10)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sample.py | test_sample | assert_* | func_call | 40 | import numpy as np
import pytest
from tests.utils import assert_eq
def get_system_sample(df, fraction, seed):
random_state = np.random.RandomState(seed)
random_choice = random_state.choice(
[True, False],
size=df.npartitions,
replace=True,
p=[fraction, 1 - fraction],
)
... | get_system_sample(ddf, 0.00001, 10)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sample.py | test_sample | assert_* | func_call | 44 | import numpy as np
import pytest
from tests.utils import assert_eq
def get_system_sample(df, fraction, seed):
random_state = np.random.RandomState(seed)
random_choice = random_state.choice(
[True, False],
size=df.npartitions,
replace=True,
p=[fraction, 1 - fraction],
)
... | get_system_sample(ddf, 0.99999, 10)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_fugue.py | test_fugue_workflow | assert_* | func_call | 21 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql import Context
from tests.integration.fixtures import xfail_if_external_scheduler
from tests.utils import assert_eq
fugue_sql = pytest.importorskip("fugue_sql")
from dask_sql.integrations.fugue import fsql_dask # noqa: E402
def test_fugue_... | pd.DataFrame({"a": [1], "b": ["world"]})) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sort.py | test_sort_topk | assert_* | func_call | 37 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_sort_topk(gpu):
c = Context()
df = pd.DataFrame(
{
"a": [float("... | pd.DataFrame({"a": [1.0] * 10, "b": [1] * 10, "c": ["a"] * 10})) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sort.py | test_sort_topk | assert_* | func_call | 47 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_sort_topk(gpu):
c = Context()
df = pd.DataFrame(
{
"a": [float("... | pd.DataFrame({"a": [1.0] * 10, "b": [3] * 10, "c": ["c"] * 10})) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sort.py | test_sort_topk | assert_* | func_call | 59 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_sort_topk(gpu):
c = Context()
df = pd.DataFrame(
{
"a": [float("... | pd.DataFrame({"a": [float("nan"), 1] * 5, "b": [1] * 10, "c": ["a"] * 10})) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sort.py | test_sort_with_nan_many_partitions | assert_* | func_call | 38 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_sort_with_nan_many_partitions(gpu):
c = Context()
df = pd.DataFrame(
{
... | pd.DataFrame( { "a": [1] * 30 + [float("nan")] * 30, } )) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sort.py | test_sort_with_nan | assert_* | func_call | 18 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_sort_with_nan(gpu):
c = Context()
df = pd.DataFrame(
{"a": [1, 2, float("nan... | pd.DataFrame( {"a": [1, 2, 2, float("nan")], "b": [4, float("nan"), float("inf"), 5]} )) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sort.py | test_sort_with_nan | assert_* | func_call | 27 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_sort_with_nan(gpu):
c = Context()
df = pd.DataFrame(
{"a": [1, 2, float("nan... | pd.DataFrame( {"a": [float("nan"), 1, 2, 2], "b": [5, 4, float("nan"), float("inf")]} )) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_server.py | test_sql_query | assert | collection | 45 | import os
from time import sleep
import pytest
from dask_sql import Context
from dask_sql.server.app import _init_app, app
pytest.importorskip("requests")
def app_client():
c = Context()
c.sql("SELECT 1 + 1").compute()
_init_app(app, c)
# late import for the importskip
from fastapi.testclient i... | [[2]] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_context.py | g | assert | collection | 16 | import warnings
import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.mappings import python_to_sql_type
from tests.utils import assert_eq
def g(gpu=gpu):
df = pd.DataFrame({"a": [1]}) if not gpu else cudf.DataFrame({"a": [1]})
assert "df" in c.... | ["a"] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_model.py | test_correct_argument_passing | assert | collection | 54 | import os
import pickle
import sys
import joblib
import pandas as pd
import pytest
from tests.integration.fixtures import xfail_if_external_scheduler
from tests.utils import assert_eq
def check_trained_model(c, model_name="my_model", df_name="timeseries"):
sql = f"""
SELECT * FROM PREDICT(
MODEL {mod... | ["x", "y"] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_config.py | test_dask_setconfig | assert | collection | 15 | import os
from unittest import mock
import pytest
import yaml
from dask import config as dask_config
import dask_sql # noqa: F401
def test_dask_setconfig():
dask_config.set({"sql.foo.bar": 1})
with dask_config.set({"sql.foo.baz": "2"}):
assert dask_config.get("sql.foo") == {"bar": 1, "baz": "2"}
... | {"bar": 1} | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_datacontainer.py | test_cc_limit_to | assert | collection | 9 | from dask_sql.datacontainer import ColumnContainer
def test_cc_limit_to():
c = ColumnContainer(["a", "b", "c"])
c2 = c.limit_to(["c", "a"])
assert c2.columns == | ["c", "a"] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_statistical_functions | assert_* | collection | 58 | import sys
import pytest
pytestmark = pytest.mark.xfail(
condition=sys.platform in ("win32", "darwin"),
reason="hive testing not supported on Windows/macOS",
)
docker = pytest.importorskip("docker")
sqlalchemy = pytest.importorskip("sqlalchemy")
def engine():
client = docker.from_env()
network = cli... | ["user_id"]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_datacontainer.py | test_cc_init | assert | collection | 7 | from dask_sql.datacontainer import ColumnContainer
def test_cc_init():
c = ColumnContainer(["a", "b", "c"])
assert c.columns == | ["a", "b", "c"] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_datacontainer.py | test_cc_rename | assert | collection | 9 | from dask_sql.datacontainer import ColumnContainer
def test_cc_rename():
c = ColumnContainer(["a", "b", "c"])
c2 = c.rename({"a": "A", "b": "a"})
assert c2.columns == | ["A", "a", "c"] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_config.py | test_dask_setconfig | assert | collection | 14 | import os
from unittest import mock
import pytest
import yaml
from dask import config as dask_config
import dask_sql # noqa: F401
def test_dask_setconfig():
dask_config.set({"sql.foo.bar": 1})
with dask_config.set({"sql.foo.baz": "2"}):
assert dask_config.get("sql.foo") == | {"bar": 1, "baz": "2"} | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_function.py | test_custom_function_row_return_types | assert_* | collection | 25 | import itertools
import operator
import sys
import dask.dataframe as dd
import numpy as np
import pytest
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
@pytest.mark.parametrize(
"retty",
[np.float64, np.float32, np.int64, np.int32, np.int16, np.int8, np.bool_],
)
def test_custo... | (df[["a"]] ** 2).astype(retty)) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_datacontainer.py | test_cc_init | assert | collection | 8 | from dask_sql.datacontainer import ColumnContainer
def test_cc_init():
c = ColumnContainer(["a", "b", "c"])
assert c.columns == ["a", "b", "c"]
assert c.mapping() == | [("a", "a"), ("b", "b"), ("c", "c")] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_datacontainer.py | test_cc_init | assert | collection | 13 | from dask_sql.datacontainer import ColumnContainer
def test_cc_init():
c = ColumnContainer(["a", "b", "c"])
assert c.columns == ["a", "b", "c"]
assert c.mapping() == [("a", "a"), ("b", "b"), ("c", "c")]
c = ColumnContainer(["a", "b", "c"], {"a": "1", "b": "2", "c": "3"})
assert c.columns == ["a"... | [("a", "1"), ("b", "2"), ("c", "3")] | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_join | assert_* | collection | 55 | import sys
import pytest
pytestmark = pytest.mark.xfail(
condition=sys.platform in ("win32", "darwin"),
reason="hive testing not supported on Windows/macOS",
)
docker = pytest.importorskip("docker")
sqlalchemy = pytest.importorskip("sqlalchemy")
def engine():
client = docker.from_env()
network = cli... | ["user_id", "a", "b", "user_id_2", "c", "d"]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_join | assert_* | collection | 10 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_join(assert_query_gives_same_result):
asse | ["user_id", "a", "b", "user_id_2", "c", "d"]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics_bad_args | assert | none_literal | 19 | import dask.dataframe as dd
import pandas as pd
import pytest
from dask_sql.physical.utils.statistics import parquet_statistics
def test_parquet_statistics_bad_args(parquet_ddf):
# Check "bad" input arguments to parquet_statistics
# ddf argument must be a Dask-DataFrame object
pdf = pd.DataFrame({"a": ra... | None | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-cache/redis/tests/test_redis_cache.py | test_redis_cache | assert | none_literal | 6 | from datapizza.cache.redis import RedisCache
def test_redis_cache():
cache = RedisCache(host="localhost", port=6379, db=0)
assert cache is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-clients/datapizza-ai-clients-anthropic/tests/test_anthropic_memory_adapter.py | test_init_anthropic_client | assert | none_literal | 10 | from datapizza.memory.memory import Memory
from datapizza.type import ROLE, TextBlock
from datapizza.clients.anthropic import AnthropicClient
from datapizza.clients.anthropic.memory_adapter import AnthropicMemoryAdapter
def test_init_anthropic_client():
client = AnthropicClient(api_key="test")
assert client ... | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-clients/datapizza-ai-clients-bedrock/tests/test_bedrock_memory_adapter.py | test_init_bedrock_client | assert | none_literal | 11 | from datapizza.memory.memory import Memory
from datapizza.type import ROLE, TextBlock
from datapizza.clients.bedrock import BedrockClient
from datapizza.clients.bedrock.memory_adapter import BedrockMemoryAdapter
def test_init_bedrock_client():
"""Test that BedrockClient can be initialized"""
client = BedrockC... | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-clients/datapizza-ai-clients-mistral/tests/test_mistral_client.py | test_init_mistral_client | assert | none_literal | 6 | from datapizza.clients.mistral import MistralClient
def test_init_mistral_client():
client = MistralClient(api_key="test")
assert client is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-clients/datapizza-ai-clients-openai-like/tests/test_openai_completion.py | test_init | assert | none_literal | 10 | from datapizza.clients.openai_like import OpenAILikeClient
def test_init():
client = OpenAILikeClient(
api_key="test_api_key",
model="gpt-4o-mini",
system_prompt="You are a helpful assistant that can answer questions about piadina only in italian.",
)
assert client is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-clients/datapizza-ai-clients-openai/tests/test_base_client.py | test_client_init | assert | none_literal | 16 | from unittest.mock import MagicMock, patch
import httpx
from datapizza.core.clients import ClientResponse
from datapizza.clients.openai import (
OpenAIClient,
)
def test_client_init():
client = OpenAIClient(
model="gpt-4o-mini",
api_key="test_api_key",
)
assert client is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/clients/tests/test_client_factory.py | test_client_factory_openai | assert | none_literal | 14 | from datapizza.clients.openai import OpenAIClient
from datapizza.clients import ClientFactory
def test_client_factory_openai():
client = ClientFactory.create(
provider="openai",
api_key="test_api_key",
model="gpt-3.5-turbo",
system_prompt="You are a helpful assistant that can answe... | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/modules/parsers/tests/test_base_parser.py | test_base_parser | assert | none_literal | 7 | from datapizza.modules.parsers.text_parser import TextParser
from datapizza.type import NodeType
def test_base_parser():
parser = TextParser()
assert parser is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/modules/prompt/tests/test_chat_prompt_template.py | test_chat_prompt_template_with_no_memory | assert | none_literal | 28 | from jinja2 import Template
from datapizza.memory import Memory
from datapizza.modules.prompt import ChatPromptTemplate
from datapizza.type import ROLE, Chunk, TextBlock
def test_chat_prompt_template_with_no_memory():
user_prompt_template = "this is a user prompt: {{ user_prompt }}"
retrieval_prompt_template ... | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/modules/rewriters/tests/test_tool_rewriter.py | test_tool_rewriter | assert | none_literal | 10 | from datapizza.clients import MockClient
from datapizza.modules.rewriters import ToolRewriter
def test_tool_rewriter():
tool_rewriter = ToolRewriter(
client=MockClient(model_name="test"),
system_prompt="test",
)
assert tool_rewriter is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_functional_pipeline.py | test_pipeline_from_yaml | assert | none_literal | 11 | from datapizza.core.models import PipelineComponent
from datapizza.pipeline import Dependency, FunctionalPipeline
def test_pipeline_from_yaml():
from datapizza.modules.rewriters import ToolRewriter
pipeline = FunctionalPipeline.from_yaml(
"datapizza-ai-core/datapizza/pipeline/tests/functional_pipeline... | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_graph_pipeline.py | test_graph_pipeline | assert | none_literal | 20 | from datapizza.clients.mock_client import MockClient
from datapizza.core.clients.client import ClientResponse, StreamInferenceClientModule
from datapizza.core.models import PipelineComponent
from datapizza.embedders.embedders import ClientEmbedder
from datapizza.modules.rewriters import ToolRewriter
from datapizza.pipe... | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-embedders/cohere/tests/test_base.py | test_init_cohere_embedder | assert | none_literal | 6 | from datapizza.embedders.cohere import CohereEmbedder
def test_init_cohere_embedder():
embedder = CohereEmbedder(api_key="test", base_url="test")
assert embedder is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-embedders/fastembedder/tests/test_fastembedder.py | test_init_fastembedder | assert | none_literal | 6 | from datapizza.embedders.fastembedder import FastEmbedder
def test_init_fastembedder():
embedder = FastEmbedder(model_name="Qdrant/bm25")
assert embedder is not | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-embedders/google/tests/test_google_embedder.py | test_google_embedder_init | assert | none_literal | 7 | from datapizza.embedders.google import GoogleEmbedder
def test_google_embedder_init():
embedder = GoogleEmbedder(api_key="test-key")
assert embedder.api_key == "test-key"
assert embedder.client is | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-embedders/mistral/tests/test_mistral_embedder.py | test_openai_embedder_init | assert | none_literal | 7 | from datapizza.embedders.mistral import MistralEmbedder
def test_openai_embedder_init():
embedder = MistralEmbedder(api_key="mistral-test-key")
assert embedder.api_key == "mistral-test-key"
assert embedder.base_url is | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-embedders/openai/tests/test_openai_embedder.py | test_openai_embedder_init | assert | none_literal | 7 | from datapizza.embedders.openai import OpenAIEmbedder
def test_openai_embedder_init():
embedder = OpenAIEmbedder(api_key="test-key")
assert embedder.api_key == "test-key"
assert embedder.base_url is | None | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-clients/datapizza-ai-clients-openai/tests/test_memory_adapter.py | test_empty_memory_to_messages | assert | collection | 32 | import json
import pytest
from datapizza.memory.memory import Memory
from datapizza.tools.tools import tool
from datapizza.type.type import (
ROLE,
FunctionCallBlock,
Media,
MediaBlock,
StructuredBlock,
TextBlock,
)
from openai.types.responses import ResponseFunctionToolCall
from datapizza.cli... | [] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/type/tests/test_type.py | test_block_new_function_call | assert | collection | 21 | from datapizza.tools.tools import Tool, tool
from datapizza.type.type import (
Block,
FunctionCallBlock,
FunctionCallResultBlock,
Media,
MediaBlock,
TextBlock,
)
def test_block_new_function_call():
@tool
def test_func():
pass
block = FunctionCallBlock(id="1", arguments={}, ... | {} | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-vectorstores/datapizza-ai-vectorstores-milvus/datapizza/vectorstores/milvus/tests/test_milvus_vectorstore.py | test_remove | assert | collection | 72 | import contextlib
import uuid
import pytest
from datapizza.core.vectorstore import VectorConfig
from datapizza.type import (
Chunk,
EmbeddingFormat,
SparseEmbedding,
)
from datapizza.vectorstores.milvus import MilvusVectorstore
MILVUS_URI = "./milvus.db"
def unique_coll(prefix="itest"):
return f"{pr... | [] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/tools/tests/test_tools.py | test_tool_with_simple_params | assert | collection | 22 | from typing import Any
from ..tools import Tool, tool
def mt_test_function():
return "test"
def decorated_function(x: int, y: str = "default") -> str:
"""Test function docstring"""
return f"{x} {y}"
def test_tool_with_simple_params():
@tool
def mt_test_function(x: int, y: str = "default"):
... | ["x"] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-modules/parsers/docling/datapizza/modules/parsers/docling/tests/test_docling_parser.py | test_parser_with_custom_ocr_options | assert | collection | 19 | import warnings
import pytest
from datapizza.type import Node, NodeType
from datapizza.modules.parsers.docling.docling_parser import DoclingParser
from datapizza.modules.parsers.docling.ocr_options import OCREngine, OCROptions
def test_parser_with_custom_ocr_options(mock_docling_parser, monkeypatch):
"""Test par... | ["ita"] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-modules/parsers/docling/datapizza/modules/parsers/docling/tests/test_docling_parser.py | test_parser_with_autodetect_tesseract | assert | collection | 19 | import warnings
import pytest
from datapizza.type import Node, NodeType
from datapizza.modules.parsers.docling.docling_parser import DoclingParser
from datapizza.modules.parsers.docling.ocr_options import OCREngine, OCROptions
def test_parser_with_autodetect_tesseract(mock_docling_parser):
"""Test parser with au... | ["auto"] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/core/clients/tests/test_mock_client.py | test_memory | assert | collection | 16 | import pytest
from pydantic import BaseModel
from datapizza.clients.mock_client import MockClient
from datapizza.core.clients import Client, ClientResponse
from datapizza.memory.memory import Memory
from datapizza.type import TextBlock
from datapizza.type.type import ROLE
def test_memory():
memory = Memory()
... | [textBlock] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/modules/metatagger/tests/test_keyword_metagger.py | test_process_chunks_concurrent | assert | collection | 65 | from unittest.mock import Mock
import pytest
from pydantic import BaseModel
from datapizza.core.clients import Client, ClientResponse
from datapizza.memory.memory import Memory
from datapizza.modules.metatagger.keyword_metatagger import KeywordMetatagger
from datapizza.type import Chunk, StructuredBlock
def mock_cli... | ["AI", "test"] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_graph_pipeline.py | test_graph_pipeline | assert | collection | 23 | from datapizza.clients.mock_client import MockClient
from datapizza.core.clients.client import ClientResponse, StreamInferenceClientModule
from datapizza.core.models import PipelineComponent
from datapizza.embedders.embedders import ClientEmbedder
from datapizza.modules.rewriters import ToolRewriter
from datapizza.pipe... | {"A": a, "B": b} | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/core/clients/tests/test_mock_client.py | test_response_format | assert | collection | 23 | import pytest
from pydantic import BaseModel
from datapizza.clients.mock_client import MockClient
from datapizza.core.clients import Client, ClientResponse
from datapizza.memory.memory import Memory
from datapizza.type import TextBlock
from datapizza.type.type import ROLE
def test_response_format():
class TestMod... | [TestModel(test=1)] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_graph_pipeline.py | test_graph_pipeline_run_without_keys | assert | collection | 20 | from datapizza.clients.mock_client import MockClient
from datapizza.core.clients.client import ClientResponse, StreamInferenceClientModule
from datapizza.core.models import PipelineComponent
from datapizza.embedders.embedders import ClientEmbedder
from datapizza.modules.rewriters import ToolRewriter
from datapizza.pipe... | {"A": "A", "B": "B"} | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_functional_pipeline.py | test_pipeline_with_branch | assert | collection | 37 | from datapizza.core.models import PipelineComponent
from datapizza.pipeline import Dependency, FunctionalPipeline
def test_pipeline_with_branch():
class A(PipelineComponent):
def _run(self):
return "A"
async def _a_run(self):
return "A"
class B(PipelineComponent):
... | {"start": "A", "B": "B"} | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_functional_pipeline.py | test_pipeline_with_branch | assert | collection | 49 | from datapizza.core.models import PipelineComponent
from datapizza.pipeline import Dependency, FunctionalPipeline
def test_pipeline_with_branch():
class A(PipelineComponent):
def _run(self):
return "A"
async def _a_run(self):
return "A"
class B(PipelineComponent):
... | {"start": "A", "C": "C"} | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/core/clients/tests/test_mock_client.py | test_client_with_memory | assert | collection | 22 | import pytest
from pydantic import BaseModel
from datapizza.clients.mock_client import MockClient
from datapizza.core.clients import Client, ClientResponse
from datapizza.memory.memory import Memory
from datapizza.type import TextBlock
from datapizza.type.type import ROLE
def test_client_with_memory():
text1 = "M... | [TextBlock(content=text1)] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/modules/metatagger/tests/test_keyword_metagger.py | test_process_chunk | assert | collection | 62 | from unittest.mock import Mock
import pytest
from pydantic import BaseModel
from datapizza.core.clients import Client, ClientResponse
from datapizza.memory.memory import Memory
from datapizza.modules.metatagger.keyword_metatagger import KeywordMetatagger
from datapizza.type import Chunk, StructuredBlock
def mock_cli... | ["AI", "machine learning"] | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_functional_pipeline.py | test_functional_pipeline | assert | collection | 23 | from datapizza.core.models import PipelineComponent
from datapizza.pipeline import Dependency, FunctionalPipeline
def test_functional_pipeline():
class A(PipelineComponent):
def _run(self):
return "A"
async def _a_run(self):
return "A"
class B(PipelineComponent):
... | {"start": "A", "then": "B"} | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
datapizza-labs/datapizza-ai | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | train | train | datapizza-ai-core/datapizza/pipeline/tests/test_functional_pipeline.py | test_functional_pipeline_with_dependencies | assert | collection | 25 | from datapizza.core.models import PipelineComponent
from datapizza.pipeline import Dependency, FunctionalPipeline
def test_functional_pipeline_with_dependencies():
class A(PipelineComponent):
def _run(self):
return "A"
async def _a_run(self):
return "A"
class B(Pipelin... | {"start": "A", "then": "AB"} | f137de8230fb29baa105fac1db1f5305036ffbf6 | 27 | v2_extractor_at_anchor |
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