Source code for google.cloud.automl_v1beta1.proto.data_stats_pb2

# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl_v1beta1/proto/data_stats.proto

import sys

_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database

# @@protoc_insertion_point(imports)

_sym_db = _symbol_database.Default()


from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2


DESCRIPTOR = _descriptor.FileDescriptor(
    name="google/cloud/automl_v1beta1/proto/data_stats.proto",
    package="google.cloud.automl.v1beta1",
    syntax="proto3",
    serialized_options=_b(
        "\n\037com.google.cloud.automl.v1beta1P\001ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Google::Cloud::AutoML::V1beta1"
    ),
    serialized_pb=_b(
        '\n2google/cloud/automl_v1beta1/proto/data_stats.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x1cgoogle/api/annotations.proto"\xfd\x03\n\tDataStats\x12\x42\n\rfloat64_stats\x18\x03 \x01(\x0b\x32).google.cloud.automl.v1beta1.Float64StatsH\x00\x12@\n\x0cstring_stats\x18\x04 \x01(\x0b\x32(.google.cloud.automl.v1beta1.StringStatsH\x00\x12\x46\n\x0ftimestamp_stats\x18\x05 \x01(\x0b\x32+.google.cloud.automl.v1beta1.TimestampStatsH\x00\x12>\n\x0b\x61rray_stats\x18\x06 \x01(\x0b\x32\'.google.cloud.automl.v1beta1.ArrayStatsH\x00\x12@\n\x0cstruct_stats\x18\x07 \x01(\x0b\x32(.google.cloud.automl.v1beta1.StructStatsH\x00\x12\x44\n\x0e\x63\x61tegory_stats\x18\x08 \x01(\x0b\x32*.google.cloud.automl.v1beta1.CategoryStatsH\x00\x12\x1c\n\x14\x64istinct_value_count\x18\x01 \x01(\x03\x12\x18\n\x10null_value_count\x18\x02 \x01(\x03\x12\x19\n\x11valid_value_count\x18\t \x01(\x03\x42\x07\n\x05stats"\xdd\x01\n\x0c\x46loat64Stats\x12\x0c\n\x04mean\x18\x01 \x01(\x01\x12\x1a\n\x12standard_deviation\x18\x02 \x01(\x01\x12\x11\n\tquantiles\x18\x03 \x03(\x01\x12T\n\x11histogram_buckets\x18\x04 \x03(\x0b\x32\x39.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket\x1a:\n\x0fHistogramBucket\x12\x0b\n\x03min\x18\x01 \x01(\x01\x12\x0b\n\x03max\x18\x02 \x01(\x01\x12\r\n\x05\x63ount\x18\x03 \x01(\x03"\x8d\x01\n\x0bStringStats\x12P\n\x11top_unigram_stats\x18\x01 \x03(\x0b\x32\x35.google.cloud.automl.v1beta1.StringStats.UnigramStats\x1a,\n\x0cUnigramStats\x12\r\n\x05value\x18\x01 \x01(\t\x12\r\n\x05\x63ount\x18\x02 \x01(\x03"\xf4\x02\n\x0eTimestampStats\x12V\n\x0egranular_stats\x18\x01 \x03(\x0b\x32>.google.cloud.automl.v1beta1.TimestampStats.GranularStatsEntry\x1a\x98\x01\n\rGranularStats\x12W\n\x07\x62uckets\x18\x01 \x03(\x0b\x32\x46.google.cloud.automl.v1beta1.TimestampStats.GranularStats.BucketsEntry\x1a.\n\x0c\x42ucketsEntry\x12\x0b\n\x03key\x18\x01 \x01(\x05\x12\r\n\x05value\x18\x02 \x01(\x03:\x02\x38\x01\x1ao\n\x12GranularStatsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12H\n\x05value\x18\x02 \x01(\x0b\x32\x39.google.cloud.automl.v1beta1.TimestampStats.GranularStats:\x02\x38\x01"J\n\nArrayStats\x12<\n\x0cmember_stats\x18\x02 \x01(\x0b\x32&.google.cloud.automl.v1beta1.DataStats"\xb7\x01\n\x0bStructStats\x12M\n\x0b\x66ield_stats\x18\x01 \x03(\x0b\x32\x38.google.cloud.automl.v1beta1.StructStats.FieldStatsEntry\x1aY\n\x0f\x46ieldStatsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x35\n\x05value\x18\x02 \x01(\x0b\x32&.google.cloud.automl.v1beta1.DataStats:\x02\x38\x01"\xa0\x01\n\rCategoryStats\x12Z\n\x12top_category_stats\x18\x01 \x03(\x0b\x32>.google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats\x1a\x33\n\x13SingleCategoryStats\x12\r\n\x05value\x18\x01 \x01(\t\x12\r\n\x05\x63ount\x18\x02 \x01(\x03"%\n\x10\x43orrelationStats\x12\x11\n\tcramers_v\x18\x01 \x01(\x01\x42\xa5\x01\n\x1f\x63om.google.cloud.automl.v1beta1P\x01ZAgoogle.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl\xca\x02\x1bGoogle\\Cloud\\AutoMl\\V1beta1\xea\x02\x1eGoogle::Cloud::AutoML::V1beta1b\x06proto3'
    ),
    dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR],
)


_DATASTATS = _descriptor.Descriptor(
    name="DataStats",
    full_name="google.cloud.automl.v1beta1.DataStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="float64_stats",
            full_name="google.cloud.automl.v1beta1.DataStats.float64_stats",
            index=0,
            number=3,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="string_stats",
            full_name="google.cloud.automl.v1beta1.DataStats.string_stats",
            index=1,
            number=4,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="timestamp_stats",
            full_name="google.cloud.automl.v1beta1.DataStats.timestamp_stats",
            index=2,
            number=5,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="array_stats",
            full_name="google.cloud.automl.v1beta1.DataStats.array_stats",
            index=3,
            number=6,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="struct_stats",
            full_name="google.cloud.automl.v1beta1.DataStats.struct_stats",
            index=4,
            number=7,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="category_stats",
            full_name="google.cloud.automl.v1beta1.DataStats.category_stats",
            index=5,
            number=8,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="distinct_value_count",
            full_name="google.cloud.automl.v1beta1.DataStats.distinct_value_count",
            index=6,
            number=1,
            type=3,
            cpp_type=2,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="null_value_count",
            full_name="google.cloud.automl.v1beta1.DataStats.null_value_count",
            index=7,
            number=2,
            type=3,
            cpp_type=2,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="valid_value_count",
            full_name="google.cloud.automl.v1beta1.DataStats.valid_value_count",
            index=8,
            number=9,
            type=3,
            cpp_type=2,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[
        _descriptor.OneofDescriptor(
            name="stats",
            full_name="google.cloud.automl.v1beta1.DataStats.stats",
            index=0,
            containing_type=None,
            fields=[],
        )
    ],
    serialized_start=114,
    serialized_end=623,
)


_FLOAT64STATS_HISTOGRAMBUCKET = _descriptor.Descriptor(
    name="HistogramBucket",
    full_name="google.cloud.automl.v1beta1.Float64Stats.HistogramBucket",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="min",
            full_name="google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.min",
            index=0,
            number=1,
            type=1,
            cpp_type=5,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="max",
            full_name="google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.max",
            index=1,
            number=2,
            type=1,
            cpp_type=5,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="count",
            full_name="google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.count",
            index=2,
            number=3,
            type=3,
            cpp_type=2,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=789,
    serialized_end=847,
)

_FLOAT64STATS = _descriptor.Descriptor(
    name="Float64Stats",
    full_name="google.cloud.automl.v1beta1.Float64Stats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="mean",
            full_name="google.cloud.automl.v1beta1.Float64Stats.mean",
            index=0,
            number=1,
            type=1,
            cpp_type=5,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="standard_deviation",
            full_name="google.cloud.automl.v1beta1.Float64Stats.standard_deviation",
            index=1,
            number=2,
            type=1,
            cpp_type=5,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="quantiles",
            full_name="google.cloud.automl.v1beta1.Float64Stats.quantiles",
            index=2,
            number=3,
            type=1,
            cpp_type=5,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="histogram_buckets",
            full_name="google.cloud.automl.v1beta1.Float64Stats.histogram_buckets",
            index=3,
            number=4,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[_FLOAT64STATS_HISTOGRAMBUCKET],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=626,
    serialized_end=847,
)


_STRINGSTATS_UNIGRAMSTATS = _descriptor.Descriptor(
    name="UnigramStats",
    full_name="google.cloud.automl.v1beta1.StringStats.UnigramStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="value",
            full_name="google.cloud.automl.v1beta1.StringStats.UnigramStats.value",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="count",
            full_name="google.cloud.automl.v1beta1.StringStats.UnigramStats.count",
            index=1,
            number=2,
            type=3,
            cpp_type=2,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=947,
    serialized_end=991,
)

_STRINGSTATS = _descriptor.Descriptor(
    name="StringStats",
    full_name="google.cloud.automl.v1beta1.StringStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="top_unigram_stats",
            full_name="google.cloud.automl.v1beta1.StringStats.top_unigram_stats",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[_STRINGSTATS_UNIGRAMSTATS],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=850,
    serialized_end=991,
)


_TIMESTAMPSTATS_GRANULARSTATS_BUCKETSENTRY = _descriptor.Descriptor(
    name="BucketsEntry",
    full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStats.BucketsEntry",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="key",
            full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStats.BucketsEntry.key",
            index=0,
            number=1,
            type=5,
            cpp_type=1,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="value",
            full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStats.BucketsEntry.value",
            index=1,
            number=2,
            type=3,
            cpp_type=2,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=_b("8\001"),
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1207,
    serialized_end=1253,
)

_TIMESTAMPSTATS_GRANULARSTATS = _descriptor.Descriptor(
    name="GranularStats",
    full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="buckets",
            full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStats.buckets",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[_TIMESTAMPSTATS_GRANULARSTATS_BUCKETSENTRY],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1101,
    serialized_end=1253,
)

_TIMESTAMPSTATS_GRANULARSTATSENTRY = _descriptor.Descriptor(
    name="GranularStatsEntry",
    full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStatsEntry",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="key",
            full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStatsEntry.key",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="value",
            full_name="google.cloud.automl.v1beta1.TimestampStats.GranularStatsEntry.value",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=_b("8\001"),
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1255,
    serialized_end=1366,
)

_TIMESTAMPSTATS = _descriptor.Descriptor(
    name="TimestampStats",
    full_name="google.cloud.automl.v1beta1.TimestampStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="granular_stats",
            full_name="google.cloud.automl.v1beta1.TimestampStats.granular_stats",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[_TIMESTAMPSTATS_GRANULARSTATS, _TIMESTAMPSTATS_GRANULARSTATSENTRY],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=994,
    serialized_end=1366,
)


_ARRAYSTATS = _descriptor.Descriptor(
    name="ArrayStats",
    full_name="google.cloud.automl.v1beta1.ArrayStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="member_stats",
            full_name="google.cloud.automl.v1beta1.ArrayStats.member_stats",
            index=0,
            number=2,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1368,
    serialized_end=1442,
)


_STRUCTSTATS_FIELDSTATSENTRY = _descriptor.Descriptor(
    name="FieldStatsEntry",
    full_name="google.cloud.automl.v1beta1.StructStats.FieldStatsEntry",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="key",
            full_name="google.cloud.automl.v1beta1.StructStats.FieldStatsEntry.key",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="value",
            full_name="google.cloud.automl.v1beta1.StructStats.FieldStatsEntry.value",
            index=1,
            number=2,
            type=11,
            cpp_type=10,
            label=1,
            has_default_value=False,
            default_value=None,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=_b("8\001"),
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1539,
    serialized_end=1628,
)

_STRUCTSTATS = _descriptor.Descriptor(
    name="StructStats",
    full_name="google.cloud.automl.v1beta1.StructStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="field_stats",
            full_name="google.cloud.automl.v1beta1.StructStats.field_stats",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[_STRUCTSTATS_FIELDSTATSENTRY],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1445,
    serialized_end=1628,
)


_CATEGORYSTATS_SINGLECATEGORYSTATS = _descriptor.Descriptor(
    name="SingleCategoryStats",
    full_name="google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="value",
            full_name="google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.value",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            label=1,
            has_default_value=False,
            default_value=_b("").decode("utf-8"),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
        _descriptor.FieldDescriptor(
            name="count",
            full_name="google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats.count",
            index=1,
            number=2,
            type=3,
            cpp_type=2,
            label=1,
            has_default_value=False,
            default_value=0,
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1740,
    serialized_end=1791,
)

_CATEGORYSTATS = _descriptor.Descriptor(
    name="CategoryStats",
    full_name="google.cloud.automl.v1beta1.CategoryStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="top_category_stats",
            full_name="google.cloud.automl.v1beta1.CategoryStats.top_category_stats",
            index=0,
            number=1,
            type=11,
            cpp_type=10,
            label=3,
            has_default_value=False,
            default_value=[],
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[_CATEGORYSTATS_SINGLECATEGORYSTATS],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1631,
    serialized_end=1791,
)


_CORRELATIONSTATS = _descriptor.Descriptor(
    name="CorrelationStats",
    full_name="google.cloud.automl.v1beta1.CorrelationStats",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="cramers_v",
            full_name="google.cloud.automl.v1beta1.CorrelationStats.cramers_v",
            index=0,
            number=1,
            type=1,
            cpp_type=5,
            label=1,
            has_default_value=False,
            default_value=float(0),
            message_type=None,
            enum_type=None,
            containing_type=None,
            is_extension=False,
            extension_scope=None,
            serialized_options=None,
            file=DESCRIPTOR,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=1793,
    serialized_end=1830,
)

_DATASTATS.fields_by_name["float64_stats"].message_type = _FLOAT64STATS
_DATASTATS.fields_by_name["string_stats"].message_type = _STRINGSTATS
_DATASTATS.fields_by_name["timestamp_stats"].message_type = _TIMESTAMPSTATS
_DATASTATS.fields_by_name["array_stats"].message_type = _ARRAYSTATS
_DATASTATS.fields_by_name["struct_stats"].message_type = _STRUCTSTATS
_DATASTATS.fields_by_name["category_stats"].message_type = _CATEGORYSTATS
_DATASTATS.oneofs_by_name["stats"].fields.append(
    _DATASTATS.fields_by_name["float64_stats"]
)
_DATASTATS.fields_by_name["float64_stats"].containing_oneof = _DATASTATS.oneofs_by_name[
    "stats"
]
_DATASTATS.oneofs_by_name["stats"].fields.append(
    _DATASTATS.fields_by_name["string_stats"]
)
_DATASTATS.fields_by_name["string_stats"].containing_oneof = _DATASTATS.oneofs_by_name[
    "stats"
]
_DATASTATS.oneofs_by_name["stats"].fields.append(
    _DATASTATS.fields_by_name["timestamp_stats"]
)
_DATASTATS.fields_by_name[
    "timestamp_stats"
].containing_oneof = _DATASTATS.oneofs_by_name["stats"]
_DATASTATS.oneofs_by_name["stats"].fields.append(
    _DATASTATS.fields_by_name["array_stats"]
)
_DATASTATS.fields_by_name["array_stats"].containing_oneof = _DATASTATS.oneofs_by_name[
    "stats"
]
_DATASTATS.oneofs_by_name["stats"].fields.append(
    _DATASTATS.fields_by_name["struct_stats"]
)
_DATASTATS.fields_by_name["struct_stats"].containing_oneof = _DATASTATS.oneofs_by_name[
    "stats"
]
_DATASTATS.oneofs_by_name["stats"].fields.append(
    _DATASTATS.fields_by_name["category_stats"]
)
_DATASTATS.fields_by_name[
    "category_stats"
].containing_oneof = _DATASTATS.oneofs_by_name["stats"]
_FLOAT64STATS_HISTOGRAMBUCKET.containing_type = _FLOAT64STATS
_FLOAT64STATS.fields_by_name[
    "histogram_buckets"
].message_type = _FLOAT64STATS_HISTOGRAMBUCKET
_STRINGSTATS_UNIGRAMSTATS.containing_type = _STRINGSTATS
_STRINGSTATS.fields_by_name[
    "top_unigram_stats"
].message_type = _STRINGSTATS_UNIGRAMSTATS
_TIMESTAMPSTATS_GRANULARSTATS_BUCKETSENTRY.containing_type = (
    _TIMESTAMPSTATS_GRANULARSTATS
)
_TIMESTAMPSTATS_GRANULARSTATS.fields_by_name[
    "buckets"
].message_type = _TIMESTAMPSTATS_GRANULARSTATS_BUCKETSENTRY
_TIMESTAMPSTATS_GRANULARSTATS.containing_type = _TIMESTAMPSTATS
_TIMESTAMPSTATS_GRANULARSTATSENTRY.fields_by_name[
    "value"
].message_type = _TIMESTAMPSTATS_GRANULARSTATS
_TIMESTAMPSTATS_GRANULARSTATSENTRY.containing_type = _TIMESTAMPSTATS
_TIMESTAMPSTATS.fields_by_name[
    "granular_stats"
].message_type = _TIMESTAMPSTATS_GRANULARSTATSENTRY
_ARRAYSTATS.fields_by_name["member_stats"].message_type = _DATASTATS
_STRUCTSTATS_FIELDSTATSENTRY.fields_by_name["value"].message_type = _DATASTATS
_STRUCTSTATS_FIELDSTATSENTRY.containing_type = _STRUCTSTATS
_STRUCTSTATS.fields_by_name["field_stats"].message_type = _STRUCTSTATS_FIELDSTATSENTRY
_CATEGORYSTATS_SINGLECATEGORYSTATS.containing_type = _CATEGORYSTATS
_CATEGORYSTATS.fields_by_name[
    "top_category_stats"
].message_type = _CATEGORYSTATS_SINGLECATEGORYSTATS
DESCRIPTOR.message_types_by_name["DataStats"] = _DATASTATS
DESCRIPTOR.message_types_by_name["Float64Stats"] = _FLOAT64STATS
DESCRIPTOR.message_types_by_name["StringStats"] = _STRINGSTATS
DESCRIPTOR.message_types_by_name["TimestampStats"] = _TIMESTAMPSTATS
DESCRIPTOR.message_types_by_name["ArrayStats"] = _ARRAYSTATS
DESCRIPTOR.message_types_by_name["StructStats"] = _STRUCTSTATS
DESCRIPTOR.message_types_by_name["CategoryStats"] = _CATEGORYSTATS
DESCRIPTOR.message_types_by_name["CorrelationStats"] = _CORRELATIONSTATS
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

DataStats = _reflection.GeneratedProtocolMessageType(
    "DataStats",
    (_message.Message,),
    dict(
        DESCRIPTOR=_DATASTATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""The data statistics of a series of values that share the same DataType.
  
  
  Attributes:
      stats:
          The data statistics specific to a DataType.
      float64_stats:
          The statistics for FLOAT64 DataType.
      string_stats:
          The statistics for STRING DataType.
      timestamp_stats:
          The statistics for TIMESTAMP DataType.
      array_stats:
          The statistics for ARRAY DataType.
      struct_stats:
          The statistics for STRUCT DataType.
      category_stats:
          The statistics for CATEGORY DataType.
      distinct_value_count:
          The number of distinct values.
      null_value_count:
          The number of values that are null.
      valid_value_count:
          The number of values that are valid.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.DataStats)
    ),
)
_sym_db.RegisterMessage(DataStats)

Float64Stats = _reflection.GeneratedProtocolMessageType(
    "Float64Stats",
    (_message.Message,),
    dict(
        HistogramBucket=_reflection.GeneratedProtocolMessageType(
            "HistogramBucket",
            (_message.Message,),
            dict(
                DESCRIPTOR=_FLOAT64STATS_HISTOGRAMBUCKET,
                __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
                __doc__="""A bucket of a histogram.
    
    
    Attributes:
        min:
            The minimum value of the bucket, inclusive.
        max:
            The maximum value of the bucket, exclusive unless max =
            ``"Infinity"``, in which case it's inclusive.
        count:
            The number of data values that are in the bucket, i.e. are
            between min and max values.
    """,
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
            ),
        ),
        DESCRIPTOR=_FLOAT64STATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""The data statistics of a series of FLOAT64 values.
  
  
  Attributes:
      mean:
          The mean of the series.
      standard_deviation:
          The standard deviation of the series.
      quantiles:
          Ordered from 0 to k k-quantile values of the data series of n
          values. The value at index i is, approximately, the i\*n/k-th
          smallest value in the series; for i = 0 and i = k these are,
          respectively, the min and max values.
      histogram_buckets:
          Histogram buckets of the data series. Sorted by the min value
          of the bucket, ascendingly, and the number of the buckets is
          dynamically generated. The buckets are non-overlapping and
          completely cover whole FLOAT64 range with min of first bucket
          being ``"-Infinity"``, and max of the last one being
          ``"Infinity"``.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats)
    ),
)
_sym_db.RegisterMessage(Float64Stats)
_sym_db.RegisterMessage(Float64Stats.HistogramBucket)

StringStats = _reflection.GeneratedProtocolMessageType(
    "StringStats",
    (_message.Message,),
    dict(
        UnigramStats=_reflection.GeneratedProtocolMessageType(
            "UnigramStats",
            (_message.Message,),
            dict(
                DESCRIPTOR=_STRINGSTATS_UNIGRAMSTATS,
                __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
                __doc__="""The statistics of a unigram.
    
    
    Attributes:
        value:
            The unigram.
        count:
            The number of occurrences of this unigram in the series.
    """,
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StringStats.UnigramStats)
            ),
        ),
        DESCRIPTOR=_STRINGSTATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""The data statistics of a series of STRING values.
  
  
  Attributes:
      top_unigram_stats:
          The statistics of the top 20 unigrams, ordered by [count][goog
          le.cloud.automl.v1beta1.StringStats.UnigramStats.count].
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StringStats)
    ),
)
_sym_db.RegisterMessage(StringStats)
_sym_db.RegisterMessage(StringStats.UnigramStats)

TimestampStats = _reflection.GeneratedProtocolMessageType(
    "TimestampStats",
    (_message.Message,),
    dict(
        GranularStats=_reflection.GeneratedProtocolMessageType(
            "GranularStats",
            (_message.Message,),
            dict(
                BucketsEntry=_reflection.GeneratedProtocolMessageType(
                    "BucketsEntry",
                    (_message.Message,),
                    dict(
                        DESCRIPTOR=_TIMESTAMPSTATS_GRANULARSTATS_BUCKETSENTRY,
                        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2"
                        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats.GranularStats.BucketsEntry)
                    ),
                ),
                DESCRIPTOR=_TIMESTAMPSTATS_GRANULARSTATS,
                __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
                __doc__="""Stats split by a defined in context granularity.
    
    
    Attributes:
        buckets:
            A map from granularity key to example count for that key. E.g.
            for hour\_of\_day ``13`` means 1pm, or for month\_of\_year
            ``5`` means May).
    """,
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats.GranularStats)
            ),
        ),
        GranularStatsEntry=_reflection.GeneratedProtocolMessageType(
            "GranularStatsEntry",
            (_message.Message,),
            dict(
                DESCRIPTOR=_TIMESTAMPSTATS_GRANULARSTATSENTRY,
                __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2"
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats.GranularStatsEntry)
            ),
        ),
        DESCRIPTOR=_TIMESTAMPSTATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""The data statistics of a series of TIMESTAMP values.
  
  
  Attributes:
      granular_stats:
          The string key is the pre-defined granularity. Currently
          supported: hour\_of\_day, day\_of\_week, month\_of\_year.
          Granularities finer that the granularity of timestamp data are
          not populated (e.g. if timestamps are at day granularity, then
          hour\_of\_day is not populated).
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TimestampStats)
    ),
)
_sym_db.RegisterMessage(TimestampStats)
_sym_db.RegisterMessage(TimestampStats.GranularStats)
_sym_db.RegisterMessage(TimestampStats.GranularStats.BucketsEntry)
_sym_db.RegisterMessage(TimestampStats.GranularStatsEntry)

ArrayStats = _reflection.GeneratedProtocolMessageType(
    "ArrayStats",
    (_message.Message,),
    dict(
        DESCRIPTOR=_ARRAYSTATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""The data statistics of a series of ARRAY values.
  
  
  Attributes:
      member_stats:
          Stats of all the values of all arrays, as if they were a
          single long series of data. The type depends on the element
          type of the array.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ArrayStats)
    ),
)
_sym_db.RegisterMessage(ArrayStats)

StructStats = _reflection.GeneratedProtocolMessageType(
    "StructStats",
    (_message.Message,),
    dict(
        FieldStatsEntry=_reflection.GeneratedProtocolMessageType(
            "FieldStatsEntry",
            (_message.Message,),
            dict(
                DESCRIPTOR=_STRUCTSTATS_FIELDSTATSENTRY,
                __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2"
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StructStats.FieldStatsEntry)
            ),
        ),
        DESCRIPTOR=_STRUCTSTATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""The data statistics of a series of STRUCT values.
  
  
  Attributes:
      field_stats:
          Map from a field name of the struct to data stats aggregated
          over series of all data in that field across all the structs.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.StructStats)
    ),
)
_sym_db.RegisterMessage(StructStats)
_sym_db.RegisterMessage(StructStats.FieldStatsEntry)

CategoryStats = _reflection.GeneratedProtocolMessageType(
    "CategoryStats",
    (_message.Message,),
    dict(
        SingleCategoryStats=_reflection.GeneratedProtocolMessageType(
            "SingleCategoryStats",
            (_message.Message,),
            dict(
                DESCRIPTOR=_CATEGORYSTATS_SINGLECATEGORYSTATS,
                __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
                __doc__="""The statistics of a single CATEGORY value.
    
    
    Attributes:
        value:
            The CATEGORY value.
        count:
            The number of occurrences of this value in the series.
    """,
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CategoryStats.SingleCategoryStats)
            ),
        ),
        DESCRIPTOR=_CATEGORYSTATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""The data statistics of a series of CATEGORY values.
  
  
  Attributes:
      top_category_stats:
          The statistics of the top 20 CATEGORY values, ordered by  [cou
          nt][google.cloud.automl.v1beta1.CategoryStats.SingleCategorySt
          ats.count].
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CategoryStats)
    ),
)
_sym_db.RegisterMessage(CategoryStats)
_sym_db.RegisterMessage(CategoryStats.SingleCategoryStats)

CorrelationStats = _reflection.GeneratedProtocolMessageType(
    "CorrelationStats",
    (_message.Message,),
    dict(
        DESCRIPTOR=_CORRELATIONSTATS,
        __module__="google.cloud.automl_v1beta1.proto.data_stats_pb2",
        __doc__="""A correlation statistics between two series of DataType values. The
  series may have differing DataType-s, but within a single series the
  DataType must be the same.
  
  
  Attributes:
      cramers_v:
          The correlation value using the Cramer's V measure.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.CorrelationStats)
    ),
)
_sym_db.RegisterMessage(CorrelationStats)


DESCRIPTOR._options = None
_TIMESTAMPSTATS_GRANULARSTATS_BUCKETSENTRY._options = None
_TIMESTAMPSTATS_GRANULARSTATSENTRY._options = None
_STRUCTSTATS_FIELDSTATSENTRY._options = None
# @@protoc_insertion_point(module_scope)