Mise à jour de Monitor.py et autres scripts
This commit is contained in:
Debian
@@ -0,0 +1,397 @@
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"""
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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.Common_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 DataFrame(google.protobuf.message.Message):
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"""DEPRECATED: This proto message is deprecated and unsused. Use Arrow.proto instead.
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Represents a pandas DataFrame.
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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DATA_FIELD_NUMBER: builtins.int
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INDEX_FIELD_NUMBER: builtins.int
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COLUMNS_FIELD_NUMBER: builtins.int
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STYLE_FIELD_NUMBER: builtins.int
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@property
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def data(self) -> global___Table:
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"""The data in the array."""
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@property
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def index(self) -> global___Index:
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"""List of row names. (Multiple implies a multi-index.)"""
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@property
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def columns(self) -> global___Index:
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"""List of column names. (Multiple implies a multi-index.)"""
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@property
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def style(self) -> global___TableStyle:
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"""Cell style and formatting data. Optional."""
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def __init__(
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self,
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*,
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data: global___Table | None = ...,
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index: global___Index | None = ...,
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columns: global___Index | None = ...,
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style: global___TableStyle | None = ...,
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) -> None: ...
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def HasField(self, field_name: typing.Literal["columns", b"columns", "data", b"data", "index", b"index", "style", b"style"]) -> builtins.bool: ...
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def ClearField(self, field_name: typing.Literal["columns", b"columns", "data", b"data", "index", b"index", "style", b"style"]) -> None: ...
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global___DataFrame = DataFrame
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@typing.final
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class Index(google.protobuf.message.Message):
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"""An index in the dataFrame"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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PLAIN_INDEX_FIELD_NUMBER: builtins.int
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RANGE_INDEX_FIELD_NUMBER: builtins.int
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MULTI_INDEX_FIELD_NUMBER: builtins.int
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DATETIME_INDEX_FIELD_NUMBER: builtins.int
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TIMEDELTA_INDEX_FIELD_NUMBER: builtins.int
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INT_64_INDEX_FIELD_NUMBER: builtins.int
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FLOAT_64_INDEX_FIELD_NUMBER: builtins.int
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@property
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def plain_index(self) -> global___PlainIndex: ...
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@property
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def range_index(self) -> global___RangeIndex: ...
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@property
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def multi_index(self) -> global___MultiIndex:
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"""CategoricalIndex categorical_index = 3;"""
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@property
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def datetime_index(self) -> global___DatetimeIndex:
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"""IntervalIndex interval_index = 5;"""
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@property
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def timedelta_index(self) -> global___TimedeltaIndex: ...
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@property
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def int_64_index(self) -> global___Int64Index:
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"""PeriodIndex period_index = 8;"""
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@property
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def float_64_index(self) -> global___Float64Index:
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"""UInt64Index uint_64_index = 10;"""
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def __init__(
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self,
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*,
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plain_index: global___PlainIndex | None = ...,
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range_index: global___RangeIndex | None = ...,
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multi_index: global___MultiIndex | None = ...,
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datetime_index: global___DatetimeIndex | None = ...,
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timedelta_index: global___TimedeltaIndex | None = ...,
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int_64_index: global___Int64Index | None = ...,
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float_64_index: global___Float64Index | None = ...,
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) -> None: ...
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def HasField(self, field_name: typing.Literal["datetime_index", b"datetime_index", "float_64_index", b"float_64_index", "int_64_index", b"int_64_index", "multi_index", b"multi_index", "plain_index", b"plain_index", "range_index", b"range_index", "timedelta_index", b"timedelta_index", "type", b"type"]) -> builtins.bool: ...
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def ClearField(self, field_name: typing.Literal["datetime_index", b"datetime_index", "float_64_index", b"float_64_index", "int_64_index", b"int_64_index", "multi_index", b"multi_index", "plain_index", b"plain_index", "range_index", b"range_index", "timedelta_index", b"timedelta_index", "type", b"type"]) -> None: ...
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def WhichOneof(self, oneof_group: typing.Literal["type", b"type"]) -> typing.Literal["plain_index", "range_index", "multi_index", "datetime_index", "timedelta_index", "int_64_index", "float_64_index"] | None: ...
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global___Index = Index
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@typing.final
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class PlainIndex(google.protobuf.message.Message):
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"""Basic, 1D index."""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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DATA_FIELD_NUMBER: builtins.int
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@property
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def data(self) -> global___AnyArray: ...
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def __init__(
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self,
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*,
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data: global___AnyArray | None = ...,
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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"]) -> None: ...
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global___PlainIndex = PlainIndex
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@typing.final
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class RangeIndex(google.protobuf.message.Message):
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"""Range index. See:
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.RangeIndex.html
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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START_FIELD_NUMBER: builtins.int
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STOP_FIELD_NUMBER: builtins.int
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start: builtins.int
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stop: builtins.int
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def __init__(
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self,
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*,
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start: builtins.int = ...,
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stop: builtins.int = ...,
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) -> None: ...
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def ClearField(self, field_name: typing.Literal["start", b"start", "stop", b"stop"]) -> None: ...
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global___RangeIndex = RangeIndex
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@typing.final
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class MultiIndex(google.protobuf.message.Message):
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"""A multi-level, or hierarchical, Index. See:
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.MultiIndex.html
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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LEVELS_FIELD_NUMBER: builtins.int
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LABELS_FIELD_NUMBER: builtins.int
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@property
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def levels(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___Index]: ...
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@property
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def labels(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[streamlit.proto.Common_pb2.Int32Array]: ...
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def __init__(
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self,
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*,
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levels: collections.abc.Iterable[global___Index] | None = ...,
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labels: collections.abc.Iterable[streamlit.proto.Common_pb2.Int32Array] | None = ...,
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) -> None: ...
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def ClearField(self, field_name: typing.Literal["labels", b"labels", "levels", b"levels"]) -> None: ...
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global___MultiIndex = MultiIndex
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@typing.final
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class DatetimeIndex(google.protobuf.message.Message):
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"""A date represented internally as nano second epoch int64. See:
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DatetimeIndex.html
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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DATA_FIELD_NUMBER: builtins.int
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@property
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def data(self) -> streamlit.proto.Common_pb2.StringArray: ...
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def __init__(
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self,
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*,
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data: streamlit.proto.Common_pb2.StringArray | None = ...,
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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"]) -> None: ...
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global___DatetimeIndex = DatetimeIndex
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@typing.final
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class TimedeltaIndex(google.protobuf.message.Message):
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"""A time interval represented internally as nano second epoch int64. See:
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.TimedeltaIndex.html
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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DATA_FIELD_NUMBER: builtins.int
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@property
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def data(self) -> streamlit.proto.Common_pb2.Int64Array: ...
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def __init__(
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self,
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*,
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data: streamlit.proto.Common_pb2.Int64Array | None = ...,
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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"]) -> None: ...
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global___TimedeltaIndex = TimedeltaIndex
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@typing.final
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class Int64Index(google.protobuf.message.Message):
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"""See:
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Int64Index.html
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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DATA_FIELD_NUMBER: builtins.int
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@property
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def data(self) -> streamlit.proto.Common_pb2.Int64Array: ...
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def __init__(
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self,
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*,
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data: streamlit.proto.Common_pb2.Int64Array | None = ...,
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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"]) -> None: ...
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global___Int64Index = Int64Index
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@typing.final
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class Float64Index(google.protobuf.message.Message):
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"""See:
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https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Int64Index.html
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"""
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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DATA_FIELD_NUMBER: builtins.int
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@property
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def data(self) -> streamlit.proto.Common_pb2.DoubleArray: ...
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def __init__(
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self,
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*,
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data: streamlit.proto.Common_pb2.DoubleArray | None = ...,
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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"]) -> None: ...
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global___Float64Index = Float64Index
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@typing.final
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class CSSStyle(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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PROPERTY_FIELD_NUMBER: builtins.int
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VALUE_FIELD_NUMBER: builtins.int
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property: builtins.str
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value: builtins.str
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def __init__(
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self,
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*,
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property: builtins.str = ...,
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value: builtins.str = ...,
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) -> None: ...
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def ClearField(self, field_name: typing.Literal["property", b"property", "value", b"value"]) -> None: ...
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global___CSSStyle = CSSStyle
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@typing.final
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class CellStyle(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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CSS_FIELD_NUMBER: builtins.int
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DISPLAY_VALUE_FIELD_NUMBER: builtins.int
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HAS_DISPLAY_VALUE_FIELD_NUMBER: builtins.int
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display_value: builtins.str
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"""e.g. '21.96%'"""
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has_display_value: builtins.bool
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"""The default value for a string field in proto3 is '', so we need
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this extra bool to indicate the presence of a user-specified
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display_value, which itself could be ''.
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"""
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@property
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def css(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___CSSStyle]: ...
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def __init__(
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self,
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*,
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css: collections.abc.Iterable[global___CSSStyle] | None = ...,
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display_value: builtins.str = ...,
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has_display_value: builtins.bool = ...,
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) -> None: ...
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def ClearField(self, field_name: typing.Literal["css", b"css", "display_value", b"display_value", "has_display_value", b"has_display_value"]) -> None: ...
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global___CellStyle = CellStyle
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@typing.final
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class CellStyleArray(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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STYLES_FIELD_NUMBER: builtins.int
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@property
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def styles(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___CellStyle]: ...
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def __init__(
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self,
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*,
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styles: collections.abc.Iterable[global___CellStyle] | None = ...,
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) -> None: ...
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def ClearField(self, field_name: typing.Literal["styles", b"styles"]) -> None: ...
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global___CellStyleArray = CellStyleArray
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@typing.final
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class AnyArray(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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STRINGS_FIELD_NUMBER: builtins.int
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DOUBLES_FIELD_NUMBER: builtins.int
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INT64S_FIELD_NUMBER: builtins.int
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DATETIMES_FIELD_NUMBER: builtins.int
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TIMEDELTAS_FIELD_NUMBER: builtins.int
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@property
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def strings(self) -> streamlit.proto.Common_pb2.StringArray: ...
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@property
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def doubles(self) -> streamlit.proto.Common_pb2.DoubleArray: ...
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@property
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def int64s(self) -> streamlit.proto.Common_pb2.Int64Array: ...
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@property
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def datetimes(self) -> streamlit.proto.Common_pb2.StringArray: ...
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@property
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def timedeltas(self) -> streamlit.proto.Common_pb2.Int64Array: ...
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def __init__(
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self,
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*,
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strings: streamlit.proto.Common_pb2.StringArray | None = ...,
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doubles: streamlit.proto.Common_pb2.DoubleArray | None = ...,
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int64s: streamlit.proto.Common_pb2.Int64Array | None = ...,
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datetimes: streamlit.proto.Common_pb2.StringArray | None = ...,
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timedeltas: streamlit.proto.Common_pb2.Int64Array | None = ...,
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) -> None: ...
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def HasField(self, field_name: typing.Literal["datetimes", b"datetimes", "doubles", b"doubles", "int64s", b"int64s", "strings", b"strings", "timedeltas", b"timedeltas", "type", b"type"]) -> builtins.bool: ...
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def ClearField(self, field_name: typing.Literal["datetimes", b"datetimes", "doubles", b"doubles", "int64s", b"int64s", "strings", b"strings", "timedeltas", b"timedeltas", "type", b"type"]) -> None: ...
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def WhichOneof(self, oneof_group: typing.Literal["type", b"type"]) -> typing.Literal["strings", "doubles", "int64s", "datetimes", "timedeltas"] | None: ...
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global___AnyArray = AnyArray
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@typing.final
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class Table(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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COLS_FIELD_NUMBER: builtins.int
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@property
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def cols(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___AnyArray]: ...
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def __init__(
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self,
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*,
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cols: collections.abc.Iterable[global___AnyArray] | None = ...,
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) -> None: ...
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def ClearField(self, field_name: typing.Literal["cols", b"cols"]) -> None: ...
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global___Table = Table
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@typing.final
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class TableStyle(google.protobuf.message.Message):
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DESCRIPTOR: google.protobuf.descriptor.Descriptor
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COLS_FIELD_NUMBER: builtins.int
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@property
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def cols(self) -> google.protobuf.internal.containers.RepeatedCompositeFieldContainer[global___CellStyleArray]: ...
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def __init__(
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self,
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*,
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cols: collections.abc.Iterable[global___CellStyleArray] | None = ...,
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) -> None: ...
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def ClearField(self, field_name: typing.Literal["cols", b"cols"]) -> None: ...
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global___TableStyle = TableStyle
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