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65 lines (54 loc) · 2.14 KB
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# Copyright 2025 Google LLC
#
# Licensed 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.
import dataclasses
import typing
from bigframes import dtypes
from bigframes.operations import base_ops
@dataclasses.dataclass(frozen=True)
class ArrayToStringOp(base_ops.UnaryOp):
name: typing.ClassVar[str] = "array_to_string"
delimiter: str
def output_type(self, *input_types):
input_type = input_types[0]
if not dtypes.is_array_string_like(input_type):
raise TypeError("Input type must be an array of string type.")
return dtypes.STRING_DTYPE
@dataclasses.dataclass(frozen=True)
class ArrayIndexOp(base_ops.UnaryOp):
name: typing.ClassVar[str] = "array_index"
index: int
def output_type(self, *input_types):
input_type = input_types[0]
if dtypes.is_string_like(input_type):
return dtypes.STRING_DTYPE
elif dtypes.is_array_like(input_type):
return dtypes.arrow_dtype_to_bigframes_dtype(
input_type.pyarrow_dtype.value_type
)
else:
raise TypeError("Input type must be an array or string-like type.")
@dataclasses.dataclass(frozen=True)
class ArraySliceOp(base_ops.UnaryOp):
name: typing.ClassVar[str] = "array_slice"
start: int
stop: typing.Optional[int] = None
step: typing.Optional[int] = None
def output_type(self, *input_types):
input_type = input_types[0]
if dtypes.is_string_like(input_type):
return dtypes.STRING_DTYPE
elif dtypes.is_array_like(input_type):
return input_type
else:
raise TypeError("Input type must be an array or string-like type.")