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/integration/test_analyze.py | test_analyze | assert_* | variable | 33 | import pandas as pd
from dask_sql.mappings import python_to_sql_type
from tests.utils import assert_eq
def test_analyze(c, df):
result_df = c.sql("ANALYZE TABLE df COMPUTE STATISTICS FOR ALL COLUMNS")
# extract table and compute stats with Dask manually
expected_df = (
c.sql("SELECT * FROM df")
... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_filter.py | test_predicate_pushdown | assert_* | variable | 102 | 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... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_function.py | test_custom_function_row_args | assert_* | variable | 34 | 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("k", [1, 1.5, True])
@pytest.mark.parametrize(
"op", [operator.add, operator.sub, operator.mul, operator.... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_groupby.py | test_groupby_split_every | assert_* | variable | 64 | import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from dask.datasets import timeseries
from tests.utils import assert_eq
def timeseries_df(c):
pdf = timeseries(freq="1d").compute().reset_index(drop=True)
# input nans in pandas dataframe
col1_index = np.random.randint(0, 30,... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_hive.py | test_select | assert_* | variable | 200 | import shutil
import sys
import tempfile
import time
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
pytestmark = pytest.mark.xfail(
condition=sys.platform in ("win32", "darwin"),
reason="hive testing not supported on Windows/macOS",
)
docker = pytest.... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_intake.py | check_read_table | assert_* | variable | 43 | import os
import shutil
import tempfile
import pandas as pd
import pytest
from dask_sql.context import Context
from tests.utils import assert_eq
intake = pytest.importorskip("intake")
def intake_catalog_location():
tmpdir = tempfile.mkdtemp()
df = pd.DataFrame({"a": [1], "b": [1.5]})
csv_location = os... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_join.py | test_join | assert_* | variable | 22 | import dask.dataframe as dd
import numpy as np
import pandas as pd
from dask_sql import Context
from tests.utils import assert_eq
def test_join(c):
return_df = c.sql(
"""
SELECT lhs.user_id, lhs.b, rhs.c
FROM user_table_1 AS lhs
JOIN user_table_2 AS rhs
ON lhs.user_id = rhs.user_id
"""... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_model.py | test_wrong_training_or_prediction | pytest.raises | variable | 53 | 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... | ImportError) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_over.py | test_over_with_sorting | assert_* | variable | 20 | import pandas as pd
import pytest
from tests.utils import assert_eq
def test_over_with_sorting(c, user_table_1):
return_df = c.sql(
"""
SELECT
user_id,
b,
ROW_NUMBER() OVER (ORDER BY user_id, b) AS "R"
FROM user_table_1
"""
)
expected_df = user_table_1.sort_valu... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_rex.py | test_case | assert_* | variable | 41 | from datetime import datetime
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from tests.utils import assert_eq
def test_case(c, df):
result_df = c.sql(
"""
SELECT
(CASE WHEN a = 3 THEN 1 END) AS "S1",
(CASE WHEN a > 0 THEN a ELSE 1 END) AS "S2",
... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_select_different_types | assert_* | variable | 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
def test_select_different_types(c):
expected_df = pd.DataFrame(
{
... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_show.py | test_schemas | assert_* | variable | 13 | import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
def test_schemas(c):
result_df = c.sql("SHOW SCHEMAS")
expected_df = pd.DataFrame({"Schema": [c.schema_name, "information_schema"]})
assert_eq(result_df, | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sort.py | test_sort | assert_* | variable | 30 | 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(
"input_table_1,input_df",
[
("user_table_1", "df"),
pytest.param("gpu_user_table_1", "gpu_df", marks=pytest.mark.gpu),
],
)
def tes... | df_expected) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_union.py | test_union_all | assert_* | variable | 18 | import pandas as pd
from tests.utils import assert_eq
def test_union_all(c, df):
result_df = c.sql(
"""
SELECT * FROM df
UNION ALL
SELECT * FROM df
UNION ALL
SELECT * FROM df
"""
)
expected_df = pd.concat([df, df, df], ignore_index=True)
assert... | expected_df) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_ml_utils.py | assert_estimator_equal | assert | variable | 113 | 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... | right_attrs2 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_create.py | test_create_from_query | pytest.raises | variable | 10 | import dask.dataframe as dd
import pandas as pd
import pytest
import dask_sql
from tests.utils import assert_eq
def test_create_from_query(c, df):
with pytest.raises( | RuntimeError) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_model.py | test_replace_and_error | pytest.raises | variable | 45 | 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... | RuntimeError) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_schema.py | test_create_schema | pytest.raises | variable | 13 | import dask.dataframe as dd
import numpy as np
import pytest
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
def test_create_schema(c):
c.sql("CREATE SCHEMA new_schema")
assert "new_schema" in c.schema
with pytest.raises( | RuntimeError) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_compatibility.py | eq_sqlite | assert_* | variable | 42 | import sqlite3
from datetime import datetime, timedelta
import numpy as np
import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
def cast_datetime_to_string(df):
cols = df.select_dtypes(include=["datetime64[ns]"]).columns.toli... | sqlite_result) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_filter.py | test_predicate_pushdown | assert | variable | 95 | 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... | expect_filters | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_jdbc.py | test_jdbc_has_columns | assert | variable | 61 | 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... | context_result | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_config.py | test_default_config | assert | variable | 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_default_config():
config_fn = os.path.join(os.path.dirname(__file__), "../../dask_sql", "sql.yaml")
with open(config_fn) as f:
default_config = yaml.safe_load(f)... | default_config | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_create.py | test_wrong_create | pytest.raises | variable | 10 | import dask.dataframe as dd
import pandas as pd
import pytest
import dask_sql
from tests.utils import assert_eq
def test_wrong_create(c):
with pytest.raises( | AttributeError) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_timezones | assert_* | variable | 18 | 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
def test_timezones(c, datetime_table):
result_df = c.sql(
"""
SELE... | datetime_table) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_show.py | test_wrong_input | pytest.raises | variable | 16 | import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
def test_wrong_input(c):
with pytest.raises(KeyError):
c.sql('SHOW COLUMNS FROM "wrong"."table"')
with pytest.raises(ParsingException):
c.sql('SHOW COLUM... | AttributeError) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_function.py | test_wrong_input_type | pytest.raises | variable | 19 | 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
def test_wrong_input_type(c):
def f(a):
return a
c.register_function(f, "f", [("a", np.int64)], np.int64)
with ... | ParsingException) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_schema.py | test_table_schema | pytest.raises | variable | 30 | 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"))
... | ParsingException) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_wrong_input | pytest.raises | variable | 12 | 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
def test_wrong_input(c):
with pytest.raises( | ParsingException) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_show.py | test_wrong_input | pytest.raises | variable | 12 | import pandas as pd
import pytest
from dask_sql import Context
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
def test_wrong_input(c):
with pytest.raises(KeyError):
c.sql('SHOW COLUMNS FROM "wrong"."table"')
with pytest.raises( | ParsingException) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_schema.py | test_create_schema | assert | complex_expr | 11 | import dask.dataframe as dd
import numpy as np
import pytest
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
def test_create_schema(c):
c.sql("CREATE SCHEMA new_schema")
assert "new_schema" in | c.schema | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_context.py | test_alter_schema | assert | complex_expr | 15 | 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_alter_schema(c):
c.create_schema("test_schema")
c.sql("ALTER SCHEMA test_schema RENAME TO prod_schema")
a... | c.schema | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_mapping.py | test_sql_to_python | assert | complex_expr | 12 | 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(... | np.int64 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_select_column | assert_* | complex_expr | 14 | 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
def test_select_column(c, df):
result_df = c.sql("SELECT a FROM df")
assert_... | df[["a"]]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_cmd.py | test_meta_commands | assert | complex_expr | 68 | import pytest
from dask import config as dask_config
from mock import MagicMock, patch
from prompt_toolkit.application import create_app_session
from prompt_toolkit.input import create_pipe_input
from prompt_toolkit.output import DummyOutput
from prompt_toolkit.shortcuts import PromptSession
from dask_sql._compat impo... | captured.out | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_function.py | test_custom_function | assert_* | complex_expr | 21 | 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
def test_custom_function(c, df):
def f(x):
return x**2
c.register_function(f, "f", [("x", np.float64)], np.float64)
... | df[["a"]] ** 2) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_function.py | test_aggregate_function | assert_* | complex_expr | 24 | 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
def test_aggregate_function(c):
fagg = dd.Aggregation("f", lambda x: x.sum(), lambda x: x.sum())
c.register_aggregation(fagg, ... | return_df["S"]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_model.py | check_trained_model | assert | complex_expr | 26 | 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... | result_df.columns | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_analyze.py | test_analyze | assert_* | complex_expr | 37 | import pandas as pd
from dask_sql.mappings import python_to_sql_type
from tests.utils import assert_eq
def test_analyze(c, df):
result_df = c.sql("ANALYZE TABLE df COMPUTE STATISTICS FOR ALL COLUMNS")
# extract table and compute stats with Dask manually
expected_df = (
c.sql("SELECT * FROM df")
... | expected_df[["a"]]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_mapping.py | test_python_to_sql | assert | complex_expr | 11 | 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_python_to_sql():
assert python_to_sql_type(np.dtype("int32")).getSqlType() == | SqlTypeName.INTEGER | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_schema.py | test_drop_schema | assert | complex_expr | 27 | import dask.dataframe as dd
import numpy as np
import pytest
from dask_sql.utils import ParsingException
from tests.utils import assert_eq
def test_drop_schema(c):
with pytest.raises(RuntimeError):
c.sql("DROP SCHEMA new_schema")
c.sql("DROP SCHEMA IF EXISTS new_schema")
c.sql("CREATE SCHEMA new... | c.DEFAULT_SCHEMA_NAME | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_mapping.py | test_python_to_sql | assert | complex_expr | 12 | 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_python_to_sql():
assert python_to_sql_type(np.dtype("int32")).getSqlType() == SqlTypeName.INTEGER
asser... | SqlTypeName.TIMESTAMP | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_singular_column_selection | assert_* | complex_expr | 18 | 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
def test_singular_column_selection(c):
df = pd.DataFrame({"a": [1, 2, 3], "b": [4,... | single_col_result["b"]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics | assert | complex_expr | 15 | 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.npartitions | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_select.py | test_select_alias | assert_* | complex_expr | 18 | 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
def test_select_alias(c, df):
result_df = c.sql("SELECT a as b, b as a FROM df")
... | expected_df[["a", "b"]]) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_fugue.py | test_dask_fsql | assert | complex_expr | 53 | 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
@xfail_if_exter... | c.schema[c.schema_name].tables | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics_bad_args | pytest.raises | complex_expr | 26 | 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... | ValueError, match="must be a subset") | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_mapping.py | test_python_to_sql | assert | complex_expr | 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_python_to_sql():
assert python_to_sql_type(np.dtype("int32")).getSqlType() == SqlTypeName.INTEGER
assert... | SqlTypeName.TIMESTAMP_WITH_LOCAL_TIME_ZONE | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics_bad_args | pytest.raises | complex_expr | 13 | 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... | ValueError, match="Expected Dask DataFrame") | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_statistics.py | test_parquet_statistics_bad_args | pytest.raises | complex_expr | 23 | 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... | ValueError, match="Expected columns to be a list") | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_cmd.py | test_non_meta_commands | assert | bool_literal | 75 | import pytest
from dask import config as dask_config
from mock import MagicMock, patch
from prompt_toolkit.application import create_app_session
from prompt_toolkit.input import create_pipe_input
from prompt_toolkit.output import DummyOutput
from prompt_toolkit.shortcuts import PromptSession
from dask_sql._compat impo... | False | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_distributeby.py | test_distribute_by | assert | bool_literal | 27 | import dask.dataframe as dd
import pandas as pd
import pytest
@pytest.mark.parametrize("gpu", [False, pytest.param(True, marks=pytest.mark.gpu)])
def test_distribute_by(c, gpu):
df = pd.DataFrame({"id": [0, 1, 2, 1, 2, 3], "val": [0, 1, 2, 1, 2, 3]})
ddf = dd.from_pandas(df, npartitions=2)
c.create_table(... | False | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_string_operations | assert | string_literal | 37 | 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... | " n" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_operation | assert | string_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... | "test" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_rex.py | test_random | assert | string_literal | 27 | from datetime import datetime
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from tests.utils import assert_eq
def test_random(c):
query_with_seed = """
SELECT
RAND(0) AS "0",
RAND_INTEGER(0, 10) AS "1"
"""
result_df =... | "Int64" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_utils.py | test_add_plugin | assert | string_literal | 11 | import pandas as pd
import pytest
from dask import dataframe as dd
from dask_sql.utils import Pluggable, is_frame
def test_add_plugin():
PluginTest1.add_plugin("some_key", "value")
assert PluginTest1.get_plugin("some_key") == | "value" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_operation | assert_* | string_literal | 27 | 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... | "input") | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_string_operations | assert | string_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... | "string" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_rex.py | test_random | assert | string_literal | 26 | from datetime import datetime
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from tests.utils import assert_eq
def test_random(c):
query_with_seed = """
SELECT
RAND(0) AS "0",
RAND_INTEGER(0, 10) AS "1"
"""
result_df =... | "float64" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_utils.py | test_overwrite | assert | string_literal | 16 | import pandas as pd
import pytest
from dask import dataframe as dd
from dask_sql.utils import Pluggable, is_frame
def test_overwrite():
PluginTest1.add_plugin("some_key", "value")
assert PluginTest1.get_plugin("some_key") == "value"
assert PluginTest1().get_plugin("some_key") == "value"
PluginTest1.... | "value_2" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_mapping.py | test_sql_to_python | assert | string_literal | 11 | 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" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_model.py | test_mlflow_export_lightgbm | assert | string_literal | 57 | 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... | "LGBMClassifier" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_model.py | test_mlflow_export_xgboost | assert | string_literal | 58 | 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... | "DaskXGBClassifier" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_cmd.py | test_quit | assert | string_literal | 70 | import pytest
from dask import config as dask_config
from mock import MagicMock, patch
from prompt_toolkit.application import create_app_session
from prompt_toolkit.input import create_pipe_input
from prompt_toolkit.output import DummyOutput
from prompt_toolkit.shortcuts import PromptSession
from dask_sql._compat impo... | "Quitting dask-sql ...\n" | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_select | assert_* | string_literal | 56 | 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... | """ SELECT * FROM df1 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_select | assert_* | string_literal | 10 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_select(assert_query_gives_same_result):
asse | """ SELECT * FROM df1 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_groupby | assert_* | string_literal | 22 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_groupby(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
d, SUM(c), SUM(user_id)
FROM df2
WHERE d IS NOT NULL -- dask behaves differently on NaNs in gro... | """ SELECT AVG(c) FROM df2 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_filter | assert_* | string_literal | 30 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_filter(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
a
FROM df1
WHERE
user_id = 3 AND a > 0.5
"""
)
assert_query_gives_same_... | """ SELECT d FROM df2 WHERE d = 'a' """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_filter | assert_* | string_literal | 60 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_filter(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
a
FROM df1
WHERE
user_id = 3 AND a > 0.5
"""
)
assert_query_gives_same_... | """ SELECT * FROM df1 WHERE a + b > 5 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_select | assert_* | string_literal | 101 | 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... | """ SELECT df2.user_id, df2.d FROM df2 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_select | assert_* | string_literal | 22 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_select(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT * FROM df1
"""
)
assert_query_gives_same_result(
"""
SELECT df1.user_id + 5 AS user_id, 2 * df1... | """ SELECT df2.user_id, df2.d FROM df2 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_filter | assert_* | string_literal | 20 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_filter(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
a
FROM df1
WHERE
user_id = 3 AND a > 0.5
"""
)
asse | """ SELECT d FROM df2 WHERE d NOT LIKE '%c' """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_filter | assert_* | string_literal | 40 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_filter(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
a
FROM df1
WHERE
user_id = 3 AND a > 0.5
"""
)
assert_query_gives_same_... | """ SELECT * FROM df1 WHERE 1 < a AND a < 5 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_filter | assert_* | string_literal | 50 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_filter(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
a
FROM df1
WHERE
user_id = 3 AND a > 0.5
"""
)
assert_query_gives_same_... | """ SELECT * FROM df1 WHERE a < 5 AND b < 5 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_filter | assert_* | string_literal | 65 | 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... | """ SELECT d FROM df2 WHERE d NOT LIKE '%%c' """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_select | assert_* | string_literal | 107 | 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... | """ SELECT 1 AS I, -5.34344 AS F, 'öäll' AS S """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_select | assert_* | string_literal | 28 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_select(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT * FROM df1
"""
)
assert_query_gives_same_result(
"""
SELECT df1.user_id + 5 AS user_id, 2 * df1... | """ SELECT 1 AS I, -5.34344 AS F, 'öäll' AS S """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_filter | assert_* | string_literal | 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... | """ SELECT a FROM df1 WHERE user_id = 3 AND a > 0.5 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_filter | assert_* | string_literal | 75 | 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... | """ SELECT d FROM df2 WHERE (d NOT LIKE '%%c') IS NULL """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_select | assert_* | string_literal | 113 | 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... | """ SELECT CASE WHEN user_id <> 3 THEN 4 ELSE 2 END FROM df2 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_calc | assert_* | string_literal | 10 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_calc(assert_query_gives_same_result):
asse | """ SELECT a + b, a*b, a*5, a / user_id, user_id / a FROM df1 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_select | assert_* | string_literal | 16 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_select(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT * FROM df1
"""
)
asse | """ SELECT df1.user_id + 5 AS user_id, 2 * df1.b AS b FROM df1 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_select | assert_* | string_literal | 34 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_select(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT * FROM df1
"""
)
assert_query_gives_same_result(
"""
SELECT df1.user_id + 5 AS user_id, 2 * df1... | """ SELECT CASE WHEN user_id = 3 THEN 4 ELSE user_id END FROM df2 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_sort | assert_* | string_literal | 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... | """ SELECT user_id, b FROM df1 ORDER BY b NULLS FIRST, user_id DESC NULLS FIRST """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_sort | assert_* | string_literal | 10 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_sort(assert_query_gives_same_result):
asse | """ SELECT user_id, b FROM df1 ORDER BY b NULLS FIRST, user_id DESC NULLS FIRST """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_sort | assert_* | string_literal | 64 | 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... | """ SELECT c, d FROM df2 ORDER BY c NULLS FIRST, d NULLS FIRST, user_id NULLS FIRST """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_limit | assert_* | string_literal | 65 | 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... | """ SELECT c, d FROM df2 ORDER BY c NULLS FIRST, d NULLS FIRST, user_id NULLS FIRST LIMIT 200 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_postgres.py | test_limit | assert_* | string_literal | 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... | """ SELECT c, d FROM df2 ORDER BY c NULLS FIRST, d NULLS FIRST, user_id NULLS FIRST LIMIT 10 OFFSET 20 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_sort | assert_* | string_literal | 19 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_sort(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
user_id, b
FROM df1
ORDER BY b NULLS FIRST, user_id DESC NULLS FIRST
"""
)
asse | """ SELECT c, d FROM df2 WHERE d IS NOT NULL -- sqlite sorts the NaNs in a strange way ORDER BY c, d, user_id """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_limit | assert_* | string_literal | 21 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_limit(assert_query_gives_same_result):
assert_query_gives_same_result(
"""
SELECT
c, d
FROM df2
WHERE d IS NOT NULL -- sqlite sorts the NaNs in a strange way
ORDER BY c, d... | """ SELECT c, d FROM df2 WHERE d IS NOT NULL -- sqlite sorts the NaNs in a strange way ORDER BY c, d, user_id LIMIT 200 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_sqlite.py | test_limit | assert_* | string_literal | 10 | import sqlite3
import pytest
def engine():
yield sqlite3.connect(":memory:")
def test_limit(assert_query_gives_same_result):
asse | """ SELECT c, d FROM df2 WHERE d IS NOT NULL -- sqlite sorts the NaNs in a strange way ORDER BY c, d, user_id LIMIT 10 OFFSET 20 """) | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_complex.py | test_complex_query | assert | numeric_literal | 30 | from dask.datasets import timeseries
def test_complex_query(c):
df = timeseries(freq="1d").persist()
c.create_table("timeseries", df)
result = c.sql(
"""
SELECT
lhs.name,
lhs.id,
lhs.x
FROM
timeseries AS lhs
JOIN
(... | 0 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_join.py | test_intersect | assert | numeric_literal | 22 | import dask.dataframe as dd
import numpy as np
import pandas as pd
from dask_sql import Context
from tests.utils import assert_eq
def test_intersect(c):
# Join df_simple against itself
actual_df = c.sql(
"""
select count(*) from (
select * from df_simple
intersect
select * from df_sim... | 3 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_join.py | test_intersect | assert | numeric_literal | 37 | import dask.dataframe as dd
import numpy as np
import pandas as pd
from dask_sql import Context
from tests.utils import assert_eq
def test_intersect(c):
# Join df_simple against itself
actual_df = c.sql(
"""
select count(*) from (
select * from df_simple
intersect
select * from df_sim... | 0 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_model.py | check_trained_model | assert | numeric_literal | 27 | 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... | 0 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_rex.py | test_like | assert | numeric_literal | 46 | from datetime import datetime
import dask.dataframe as dd
import numpy as np
import pandas as pd
import pytest
from tests.utils import assert_eq
@pytest.mark.parametrize(
"input_table,gpu",
[
("string_table", False),
pytest.param(
"gpu_string_table",
True,
... | 0 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/integration/test_server.py | test_inf_table | assert | numeric_literal | 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... | 3 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_reduce | assert | numeric_literal | 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... | 6 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_case | assert | numeric_literal | 31 | 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... | 1 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_case | assert | numeric_literal | 32 | 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... | 2 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
dask-contrib/dask-sql | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | train | train | tests/unit/test_call.py | test_math_operations | assert | numeric_literal | 37 | 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... | 5 | 87d48049a77da223443a1a0eb01a0836776f2b1b | 183 | v2_extractor_at_anchor |
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