-
Notifications
You must be signed in to change notification settings - Fork 28.1k
/
functions.pyi
132 lines (127 loc) · 5.29 KB
/
functions.pyi
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import overload
from typing import Union, Callable
from pyspark.sql._typing import (
AtomicDataTypeOrString,
UserDefinedFunctionLike,
)
from pyspark.sql.pandas._typing import (
GroupedMapPandasUserDefinedFunction,
PandasGroupedAggFunction,
PandasGroupedAggUDFType,
PandasGroupedMapFunction,
PandasGroupedMapUDFType,
PandasScalarIterFunction,
PandasScalarIterUDFType,
PandasScalarToScalarFunction,
PandasScalarToStructFunction,
PandasScalarUDFType,
)
from pyspark import since as since # noqa: F401
from pyspark.rdd import PythonEvalType as PythonEvalType # noqa: F401
from pyspark.sql.types import ArrayType, StructType
class PandasUDFType:
SCALAR: PandasScalarUDFType
SCALAR_ITER: PandasScalarIterUDFType
GROUPED_MAP: PandasGroupedMapUDFType
GROUPED_AGG: PandasGroupedAggUDFType
@overload
def pandas_udf(
f: PandasScalarToScalarFunction,
returnType: Union[AtomicDataTypeOrString, ArrayType],
functionType: PandasScalarUDFType,
) -> UserDefinedFunctionLike: ...
@overload
def pandas_udf(f: Union[AtomicDataTypeOrString, ArrayType], returnType: PandasScalarUDFType) -> Callable[[PandasScalarToScalarFunction], UserDefinedFunctionLike]: ... # type: ignore[misc]
@overload
def pandas_udf(f: Union[AtomicDataTypeOrString, ArrayType], *, functionType: PandasScalarUDFType) -> Callable[[PandasScalarToScalarFunction], UserDefinedFunctionLike]: ... # type: ignore[misc]
@overload
def pandas_udf(*, returnType: Union[AtomicDataTypeOrString, ArrayType], functionType: PandasScalarUDFType) -> Callable[[PandasScalarToScalarFunction], UserDefinedFunctionLike]: ... # type: ignore[misc]
@overload
def pandas_udf(
f: PandasScalarToStructFunction,
returnType: Union[StructType, str],
functionType: PandasScalarUDFType,
) -> UserDefinedFunctionLike: ...
@overload
def pandas_udf(
f: Union[StructType, str], returnType: PandasScalarUDFType
) -> Callable[[PandasScalarToStructFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
f: Union[StructType, str], *, functionType: PandasScalarUDFType
) -> Callable[[PandasScalarToStructFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
*, returnType: Union[StructType, str], functionType: PandasScalarUDFType
) -> Callable[[PandasScalarToStructFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
f: PandasScalarIterFunction,
returnType: Union[AtomicDataTypeOrString, ArrayType],
functionType: PandasScalarIterUDFType,
) -> UserDefinedFunctionLike: ...
@overload
def pandas_udf(
f: Union[AtomicDataTypeOrString, ArrayType], returnType: PandasScalarIterUDFType
) -> Callable[[PandasScalarIterFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
*, returnType: Union[AtomicDataTypeOrString, ArrayType], functionType: PandasScalarIterUDFType
) -> Callable[[PandasScalarIterFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
f: Union[AtomicDataTypeOrString, ArrayType], *, functionType: PandasScalarIterUDFType
) -> Callable[[PandasScalarIterFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
f: PandasGroupedMapFunction,
returnType: Union[StructType, str],
functionType: PandasGroupedMapUDFType,
) -> GroupedMapPandasUserDefinedFunction: ...
@overload
def pandas_udf(
f: Union[StructType, str], returnType: PandasGroupedMapUDFType
) -> Callable[[PandasGroupedMapFunction], GroupedMapPandasUserDefinedFunction]: ...
@overload
def pandas_udf(
*, returnType: Union[StructType, str], functionType: PandasGroupedMapUDFType
) -> Callable[[PandasGroupedMapFunction], GroupedMapPandasUserDefinedFunction]: ...
@overload
def pandas_udf(
f: Union[StructType, str], *, functionType: PandasGroupedMapUDFType
) -> Callable[[PandasGroupedMapFunction], GroupedMapPandasUserDefinedFunction]: ...
@overload
def pandas_udf(
f: PandasGroupedAggFunction,
returnType: Union[AtomicDataTypeOrString, ArrayType],
functionType: PandasGroupedAggUDFType,
) -> UserDefinedFunctionLike: ...
@overload
def pandas_udf(
f: Union[AtomicDataTypeOrString, ArrayType], returnType: PandasGroupedAggUDFType
) -> Callable[[PandasGroupedAggFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
*, returnType: Union[AtomicDataTypeOrString, ArrayType], functionType: PandasGroupedAggUDFType
) -> Callable[[PandasGroupedAggFunction], UserDefinedFunctionLike]: ...
@overload
def pandas_udf(
f: Union[AtomicDataTypeOrString, ArrayType], *, functionType: PandasGroupedAggUDFType
) -> Callable[[PandasGroupedAggFunction], UserDefinedFunctionLike]: ...