structure saas with tools
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# Copyright 2025 Google LLC
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#
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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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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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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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from typing import ClassVar as _ClassVar
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from typing import Iterable as _Iterable
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from typing import Mapping as _Mapping
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from typing import Optional as _Optional
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from typing import Union as _Union
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from google.protobuf import any_pb2 as _any_pb2
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from google.protobuf import descriptor as _descriptor
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from google.protobuf import message as _message
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from google.protobuf import timestamp_pb2 as _timestamp_pb2
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from google.protobuf.internal import containers as _containers
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DESCRIPTOR: _descriptor.FileDescriptor
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class Distribution(_message.Message):
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__slots__ = (
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"count",
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"mean",
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"sum_of_squared_deviation",
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"range",
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"bucket_options",
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"bucket_counts",
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"exemplars",
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)
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class Range(_message.Message):
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__slots__ = ("min", "max")
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MIN_FIELD_NUMBER: _ClassVar[int]
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MAX_FIELD_NUMBER: _ClassVar[int]
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min: float
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max: float
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def __init__(
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self, min: _Optional[float] = ..., max: _Optional[float] = ...
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) -> None: ...
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class BucketOptions(_message.Message):
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__slots__ = ("linear_buckets", "exponential_buckets", "explicit_buckets")
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class Linear(_message.Message):
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__slots__ = ("num_finite_buckets", "width", "offset")
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NUM_FINITE_BUCKETS_FIELD_NUMBER: _ClassVar[int]
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WIDTH_FIELD_NUMBER: _ClassVar[int]
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OFFSET_FIELD_NUMBER: _ClassVar[int]
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num_finite_buckets: int
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width: float
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offset: float
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def __init__(
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self,
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num_finite_buckets: _Optional[int] = ...,
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width: _Optional[float] = ...,
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offset: _Optional[float] = ...,
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) -> None: ...
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class Exponential(_message.Message):
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__slots__ = ("num_finite_buckets", "growth_factor", "scale")
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NUM_FINITE_BUCKETS_FIELD_NUMBER: _ClassVar[int]
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GROWTH_FACTOR_FIELD_NUMBER: _ClassVar[int]
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SCALE_FIELD_NUMBER: _ClassVar[int]
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num_finite_buckets: int
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growth_factor: float
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scale: float
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def __init__(
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self,
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num_finite_buckets: _Optional[int] = ...,
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growth_factor: _Optional[float] = ...,
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scale: _Optional[float] = ...,
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) -> None: ...
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class Explicit(_message.Message):
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__slots__ = ("bounds",)
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BOUNDS_FIELD_NUMBER: _ClassVar[int]
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bounds: _containers.RepeatedScalarFieldContainer[float]
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def __init__(self, bounds: _Optional[_Iterable[float]] = ...) -> None: ...
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LINEAR_BUCKETS_FIELD_NUMBER: _ClassVar[int]
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EXPONENTIAL_BUCKETS_FIELD_NUMBER: _ClassVar[int]
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EXPLICIT_BUCKETS_FIELD_NUMBER: _ClassVar[int]
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linear_buckets: Distribution.BucketOptions.Linear
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exponential_buckets: Distribution.BucketOptions.Exponential
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explicit_buckets: Distribution.BucketOptions.Explicit
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def __init__(
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self,
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linear_buckets: _Optional[
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_Union[Distribution.BucketOptions.Linear, _Mapping]
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] = ...,
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exponential_buckets: _Optional[
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_Union[Distribution.BucketOptions.Exponential, _Mapping]
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] = ...,
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explicit_buckets: _Optional[
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_Union[Distribution.BucketOptions.Explicit, _Mapping]
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] = ...,
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) -> None: ...
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class Exemplar(_message.Message):
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__slots__ = ("value", "timestamp", "attachments")
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VALUE_FIELD_NUMBER: _ClassVar[int]
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TIMESTAMP_FIELD_NUMBER: _ClassVar[int]
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ATTACHMENTS_FIELD_NUMBER: _ClassVar[int]
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value: float
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timestamp: _timestamp_pb2.Timestamp
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attachments: _containers.RepeatedCompositeFieldContainer[_any_pb2.Any]
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def __init__(
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self,
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value: _Optional[float] = ...,
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timestamp: _Optional[_Union[_timestamp_pb2.Timestamp, _Mapping]] = ...,
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attachments: _Optional[_Iterable[_Union[_any_pb2.Any, _Mapping]]] = ...,
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) -> None: ...
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COUNT_FIELD_NUMBER: _ClassVar[int]
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MEAN_FIELD_NUMBER: _ClassVar[int]
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SUM_OF_SQUARED_DEVIATION_FIELD_NUMBER: _ClassVar[int]
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RANGE_FIELD_NUMBER: _ClassVar[int]
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BUCKET_OPTIONS_FIELD_NUMBER: _ClassVar[int]
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BUCKET_COUNTS_FIELD_NUMBER: _ClassVar[int]
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EXEMPLARS_FIELD_NUMBER: _ClassVar[int]
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count: int
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mean: float
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sum_of_squared_deviation: float
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range: Distribution.Range
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bucket_options: Distribution.BucketOptions
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bucket_counts: _containers.RepeatedScalarFieldContainer[int]
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exemplars: _containers.RepeatedCompositeFieldContainer[Distribution.Exemplar]
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def __init__(
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self,
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count: _Optional[int] = ...,
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mean: _Optional[float] = ...,
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sum_of_squared_deviation: _Optional[float] = ...,
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range: _Optional[_Union[Distribution.Range, _Mapping]] = ...,
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bucket_options: _Optional[_Union[Distribution.BucketOptions, _Mapping]] = ...,
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bucket_counts: _Optional[_Iterable[int]] = ...,
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exemplars: _Optional[_Iterable[_Union[Distribution.Exemplar, _Mapping]]] = ...,
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) -> None: ...
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