71 lines
2.7 KiB
Python
71 lines
2.7 KiB
Python
"""
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@generated by mypy-protobuf. Do not edit manually!
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isort:skip_file
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*!
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Copyright (c) Streamlit Inc. (2018-2022) Snowflake Inc. (2022-2025)
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import builtins
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import collections.abc
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import google.protobuf.descriptor
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import google.protobuf.internal.containers
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import google.protobuf.message
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import streamlit.proto.DataFrame_pb2
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import streamlit.proto.NamedDataSet_pb2
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import typing
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DESCRIPTOR: google.protobuf.descriptor.FileDescriptor
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@typing.final
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class VegaLiteChart(google.protobuf.message.Message):
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"""DEPRECATED: This proto message is deprecated and unused. The ArrowVegaLiteChart
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proto message should be used instead.
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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SPEC_FIELD_NUMBER: builtins.int
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DATA_FIELD_NUMBER: builtins.int
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DATASETS_FIELD_NUMBER: builtins.int
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USE_CONTAINER_WIDTH_FIELD_NUMBER: builtins.int
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spec: builtins.str
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"""The a JSON-formatted string with the Vega-Lite spec."""
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use_container_width: builtins.bool
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"""If True, will overwrite the chart width spec to fit to container."""
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@property
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def data(self) -> streamlit.proto.DataFrame_pb2.DataFrame:
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"""TODO Maybe remove
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The dataframe that will be used as the chart's main data source, if
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specified using Vega-Lite's inline API.
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"""
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@property
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def datasets(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[streamlit.proto.NamedDataSet_pb2.NamedDataSet]:
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"""Dataframes associated with this chart using Vega-Lite's datasets API, if
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any.
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"""
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def __init__(
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self,
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*,
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spec: builtins.str = ...,
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data: streamlit.proto.DataFrame_pb2.DataFrame | None = ...,
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datasets: collections.abc.Iterable[streamlit.proto.NamedDataSet_pb2.NamedDataSet] | None = ...,
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use_container_width: builtins.bool = ...,
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) -> None: ...
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def HasField(self, field_name: typing.Literal["data", b"data"]) -> builtins.bool: ...
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def ClearField(self, field_name: typing.Literal["data", b"data", "datasets", b"datasets", "spec", b"spec", "use_container_width", b"use_container_width"]) -> None: ...
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global___VegaLiteChart = VegaLiteChart
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