# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl_v1/proto/io.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_v1/proto/io.proto",
    package="google.cloud.automl.v1",
    syntax="proto3",
    serialized_options=_b(
        "\n\032com.google.cloud.automl.v1P\001Z<google.golang.org/genproto/googleapis/cloud/automl/v1;automl\252\002\026Google.Cloud.AutoML.V1\312\002\026Google\\Cloud\\AutoML\\V1\352\002\031Google::Cloud::AutoML::V1"
    ),
    serialized_pb=_b(
        '\n%google/cloud/automl_v1/proto/io.proto\x12\x16google.cloud.automl.v1\x1a\x1cgoogle/api/annotations.proto"\xc0\x01\n\x0bInputConfig\x12\x37\n\ngcs_source\x18\x01 \x01(\x0b\x32!.google.cloud.automl.v1.GcsSourceH\x00\x12?\n\x06params\x18\x02 \x03(\x0b\x32/.google.cloud.automl.v1.InputConfig.ParamsEntry\x1a-\n\x0bParamsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x42\x08\n\x06source"`\n\x0cOutputConfig\x12\x41\n\x0fgcs_destination\x18\x01 \x01(\x0b\x32&.google.cloud.automl.v1.GcsDestinationH\x00\x42\r\n\x0b\x64\x65stination"\x1f\n\tGcsSource\x12\x12\n\ninput_uris\x18\x01 \x03(\t"+\n\x0eGcsDestination\x12\x19\n\x11output_uri_prefix\x18\x01 \x01(\tB\xaa\x01\n\x1a\x63om.google.cloud.automl.v1P\x01Z<google.golang.org/genproto/googleapis/cloud/automl/v1;automl\xaa\x02\x16Google.Cloud.AutoML.V1\xca\x02\x16Google\\Cloud\\AutoML\\V1\xea\x02\x19Google::Cloud::AutoML::V1b\x06proto3'
    ),
    dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR],
)


_INPUTCONFIG_PARAMSENTRY = _descriptor.Descriptor(
    name="ParamsEntry",
    full_name="google.cloud.automl.v1.InputConfig.ParamsEntry",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="key",
            full_name="google.cloud.automl.v1.InputConfig.ParamsEntry.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.v1.InputConfig.ParamsEntry.value",
            index=1,
            number=2,
            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,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=_b("8\001"),
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=233,
    serialized_end=278,
)

_INPUTCONFIG = _descriptor.Descriptor(
    name="InputConfig",
    full_name="google.cloud.automl.v1.InputConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="gcs_source",
            full_name="google.cloud.automl.v1.InputConfig.gcs_source",
            index=0,
            number=1,
            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="params",
            full_name="google.cloud.automl.v1.InputConfig.params",
            index=1,
            number=2,
            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=[_INPUTCONFIG_PARAMSENTRY],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[
        _descriptor.OneofDescriptor(
            name="source",
            full_name="google.cloud.automl.v1.InputConfig.source",
            index=0,
            containing_type=None,
            fields=[],
        )
    ],
    serialized_start=96,
    serialized_end=288,
)


_OUTPUTCONFIG = _descriptor.Descriptor(
    name="OutputConfig",
    full_name="google.cloud.automl.v1.OutputConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="gcs_destination",
            full_name="google.cloud.automl.v1.OutputConfig.gcs_destination",
            index=0,
            number=1,
            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=[
        _descriptor.OneofDescriptor(
            name="destination",
            full_name="google.cloud.automl.v1.OutputConfig.destination",
            index=0,
            containing_type=None,
            fields=[],
        )
    ],
    serialized_start=290,
    serialized_end=386,
)


_GCSSOURCE = _descriptor.Descriptor(
    name="GcsSource",
    full_name="google.cloud.automl.v1.GcsSource",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uris",
            full_name="google.cloud.automl.v1.GcsSource.input_uris",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            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=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=388,
    serialized_end=419,
)


_GCSDESTINATION = _descriptor.Descriptor(
    name="GcsDestination",
    full_name="google.cloud.automl.v1.GcsDestination",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="output_uri_prefix",
            full_name="google.cloud.automl.v1.GcsDestination.output_uri_prefix",
            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,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=421,
    serialized_end=464,
)

_INPUTCONFIG_PARAMSENTRY.containing_type = _INPUTCONFIG
_INPUTCONFIG.fields_by_name["gcs_source"].message_type = _GCSSOURCE
_INPUTCONFIG.fields_by_name["params"].message_type = _INPUTCONFIG_PARAMSENTRY
_INPUTCONFIG.oneofs_by_name["source"].fields.append(
    _INPUTCONFIG.fields_by_name["gcs_source"]
)
_INPUTCONFIG.fields_by_name[
    "gcs_source"
].containing_oneof = _INPUTCONFIG.oneofs_by_name["source"]
_OUTPUTCONFIG.fields_by_name["gcs_destination"].message_type = _GCSDESTINATION
_OUTPUTCONFIG.oneofs_by_name["destination"].fields.append(
    _OUTPUTCONFIG.fields_by_name["gcs_destination"]
)
_OUTPUTCONFIG.fields_by_name[
    "gcs_destination"
].containing_oneof = _OUTPUTCONFIG.oneofs_by_name["destination"]
DESCRIPTOR.message_types_by_name["InputConfig"] = _INPUTCONFIG
DESCRIPTOR.message_types_by_name["OutputConfig"] = _OUTPUTCONFIG
DESCRIPTOR.message_types_by_name["GcsSource"] = _GCSSOURCE
DESCRIPTOR.message_types_by_name["GcsDestination"] = _GCSDESTINATION
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

InputConfig = _reflection.GeneratedProtocolMessageType(
    "InputConfig",
    (_message.Message,),
    dict(
        ParamsEntry=_reflection.GeneratedProtocolMessageType(
            "ParamsEntry",
            (_message.Message,),
            dict(
                DESCRIPTOR=_INPUTCONFIG_PARAMSENTRY,
                __module__="google.cloud.automl_v1.proto.io_pb2"
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.InputConfig.ParamsEntry)
            ),
        ),
        DESCRIPTOR=_INPUTCONFIG,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""Input configuration for ImportData Action.
  
  The format of input depends on dataset\_metadata the Dataset into which
  the import is happening has. As input source the
  [gcs\_source][google.cloud.automl.v1beta1.InputConfig.gcs\_source] is
  expected, unless specified otherwise. Additionally any input .CSV file
  by itself must be 100MB or smaller, unless specified otherwise. If an
  "example" file (that is, image, video etc.) with identical content (even
  if it had different GCS\_FILE\_PATH) is mentioned multiple times, then
  its label, bounding boxes etc. are appended. The same file should be
  always provided with the same ML\_USE and GCS\_FILE\_PATH, if it is not,
  then these values are nondeterministically selected from the given ones.
  
  Errors: If any of the provided CSV files can't be parsed or if more than
  certain percent of CSV rows cannot be processed then the operation fails
  and nothing is imported. Regardless of overall success or failure the
  per-row failures, up to a certain count cap, is listed in
  Operation.metadata.partial\_failures.
  
  
  Attributes:
      source:
          The source of the input.
      gcs_source:
          The Google Cloud Storage location for the input content. In
          ImportData, the gcs\_source points to a csv with structure
          described in the comment.
      params:
          Additional domain-specific parameters describing the semantic
          of the imported data, any string must be up to 25000
          characters long.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.InputConfig)
    ),
)
_sym_db.RegisterMessage(InputConfig)
_sym_db.RegisterMessage(InputConfig.ParamsEntry)

OutputConfig = _reflection.GeneratedProtocolMessageType(
    "OutputConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_OUTPUTCONFIG,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""
-  For Translation: CSV file ``translation.csv``, with each line in
     format: ML\_USE,GCS\_FILE\_PATH GCS\_FILE\_PATH leads to a .TSV file
     which describes examples that have given ML\_USE, using the following
     row format per line: TEXT\_SNIPPET (in source language)
     \\tTEXT\_SNIPPET (in target language)
  
  ``export_data_<automl-dataset-display-name>_<timestamp-of-export-call>``
  where will be made BigQuery-dataset-name compatible (e.g. most special
  characters will become underscores), and timestamp will be in
  YYYY\_MM\_DDThh\_mm\_ss\_sssZ "based on ISO-8601" format. In that
  dataset a new table called ``primary_table`` will be created, and filled
  with precisely the same data as this obtained on import.
  
  
  Attributes:
      destination:
          Required. The destination of the output.
      gcs_destination:
          The Google Cloud Storage location where the output is to be
          written to. For Image Object Detection, Text Extraction, Video
          Classification and Tables, in the given directory a new
          directory will be created with name: export\_data-- where
          timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
          export output will be written into that directory.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.OutputConfig)
    ),
)
_sym_db.RegisterMessage(OutputConfig)

GcsSource = _reflection.GeneratedProtocolMessageType(
    "GcsSource",
    (_message.Message,),
    dict(
        DESCRIPTOR=_GCSSOURCE,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""The Google Cloud Storage location for the input content.
  
  
  Attributes:
      input_uris:
          Required. Google Cloud Storage URIs to input files, up to 2000
          characters long. Accepted forms: \* Full object path, e.g.
          gs://bucket/directory/object.csv
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.GcsSource)
    ),
)
_sym_db.RegisterMessage(GcsSource)

GcsDestination = _reflection.GeneratedProtocolMessageType(
    "GcsDestination",
    (_message.Message,),
    dict(
        DESCRIPTOR=_GCSDESTINATION,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""The Google Cloud Storage location where the output is to be written to.
  
  
  Attributes:
      output_uri_prefix:
          Required. Google Cloud Storage URI to output directory, up to
          2000 characters long. Accepted forms: \* Prefix path:
          gs://bucket/directory The requesting user must have write
          permission to the bucket. The directory is created if it
          doesn't exist.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.GcsDestination)
    ),
)
_sym_db.RegisterMessage(GcsDestination)


DESCRIPTOR._options = None
_INPUTCONFIG_PARAMSENTRY._options = None
# @@protoc_insertion_point(module_scope)

# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl_v1/proto/io.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_v1/proto/io.proto",
    package="google.cloud.automl.v1",
    syntax="proto3",
    serialized_options=_b(
        "\n\032com.google.cloud.automl.v1P\001Z<google.golang.org/genproto/googleapis/cloud/automl/v1;automl\252\002\026Google.Cloud.AutoML.V1\312\002\026Google\\Cloud\\AutoML\\V1\352\002\031Google::Cloud::AutoML::V1"
    ),
    serialized_pb=_b(
        '\n%google/cloud/automl_v1/proto/io.proto\x12\x16google.cloud.automl.v1\x1a\x1cgoogle/api/annotations.proto"\xc0\x01\n\x0bInputConfig\x12\x37\n\ngcs_source\x18\x01 \x01(\x0b\x32!.google.cloud.automl.v1.GcsSourceH\x00\x12?\n\x06params\x18\x02 \x03(\x0b\x32/.google.cloud.automl.v1.InputConfig.ParamsEntry\x1a-\n\x0bParamsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x42\x08\n\x06source"`\n\x0cOutputConfig\x12\x41\n\x0fgcs_destination\x18\x01 \x01(\x0b\x32&.google.cloud.automl.v1.GcsDestinationH\x00\x42\r\n\x0b\x64\x65stination"\x1f\n\tGcsSource\x12\x12\n\ninput_uris\x18\x01 \x03(\t"+\n\x0eGcsDestination\x12\x19\n\x11output_uri_prefix\x18\x01 \x01(\tB\xaa\x01\n\x1a\x63om.google.cloud.automl.v1P\x01Z<google.golang.org/genproto/googleapis/cloud/automl/v1;automl\xaa\x02\x16Google.Cloud.AutoML.V1\xca\x02\x16Google\\Cloud\\AutoML\\V1\xea\x02\x19Google::Cloud::AutoML::V1b\x06proto3'
    ),
    dependencies=[google_dot_api_dot_annotations__pb2.DESCRIPTOR],
)


_INPUTCONFIG_PARAMSENTRY = _descriptor.Descriptor(
    name="ParamsEntry",
    full_name="google.cloud.automl.v1.InputConfig.ParamsEntry",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="key",
            full_name="google.cloud.automl.v1.InputConfig.ParamsEntry.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.v1.InputConfig.ParamsEntry.value",
            index=1,
            number=2,
            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,
        ),
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=_b("8\001"),
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=233,
    serialized_end=278,
)

_INPUTCONFIG = _descriptor.Descriptor(
    name="InputConfig",
    full_name="google.cloud.automl.v1.InputConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="gcs_source",
            full_name="google.cloud.automl.v1.InputConfig.gcs_source",
            index=0,
            number=1,
            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="params",
            full_name="google.cloud.automl.v1.InputConfig.params",
            index=1,
            number=2,
            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=[_INPUTCONFIG_PARAMSENTRY],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[
        _descriptor.OneofDescriptor(
            name="source",
            full_name="google.cloud.automl.v1.InputConfig.source",
            index=0,
            containing_type=None,
            fields=[],
        )
    ],
    serialized_start=96,
    serialized_end=288,
)


_OUTPUTCONFIG = _descriptor.Descriptor(
    name="OutputConfig",
    full_name="google.cloud.automl.v1.OutputConfig",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="gcs_destination",
            full_name="google.cloud.automl.v1.OutputConfig.gcs_destination",
            index=0,
            number=1,
            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=[
        _descriptor.OneofDescriptor(
            name="destination",
            full_name="google.cloud.automl.v1.OutputConfig.destination",
            index=0,
            containing_type=None,
            fields=[],
        )
    ],
    serialized_start=290,
    serialized_end=386,
)


_GCSSOURCE = _descriptor.Descriptor(
    name="GcsSource",
    full_name="google.cloud.automl.v1.GcsSource",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="input_uris",
            full_name="google.cloud.automl.v1.GcsSource.input_uris",
            index=0,
            number=1,
            type=9,
            cpp_type=9,
            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=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=388,
    serialized_end=419,
)


_GCSDESTINATION = _descriptor.Descriptor(
    name="GcsDestination",
    full_name="google.cloud.automl.v1.GcsDestination",
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
        _descriptor.FieldDescriptor(
            name="output_uri_prefix",
            full_name="google.cloud.automl.v1.GcsDestination.output_uri_prefix",
            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,
        )
    ],
    extensions=[],
    nested_types=[],
    enum_types=[],
    serialized_options=None,
    is_extendable=False,
    syntax="proto3",
    extension_ranges=[],
    oneofs=[],
    serialized_start=421,
    serialized_end=464,
)

_INPUTCONFIG_PARAMSENTRY.containing_type = _INPUTCONFIG
_INPUTCONFIG.fields_by_name["gcs_source"].message_type = _GCSSOURCE
_INPUTCONFIG.fields_by_name["params"].message_type = _INPUTCONFIG_PARAMSENTRY
_INPUTCONFIG.oneofs_by_name["source"].fields.append(
    _INPUTCONFIG.fields_by_name["gcs_source"]
)
_INPUTCONFIG.fields_by_name[
    "gcs_source"
].containing_oneof = _INPUTCONFIG.oneofs_by_name["source"]
_OUTPUTCONFIG.fields_by_name["gcs_destination"].message_type = _GCSDESTINATION
_OUTPUTCONFIG.oneofs_by_name["destination"].fields.append(
    _OUTPUTCONFIG.fields_by_name["gcs_destination"]
)
_OUTPUTCONFIG.fields_by_name[
    "gcs_destination"
].containing_oneof = _OUTPUTCONFIG.oneofs_by_name["destination"]
DESCRIPTOR.message_types_by_name["InputConfig"] = _INPUTCONFIG
DESCRIPTOR.message_types_by_name["OutputConfig"] = _OUTPUTCONFIG
DESCRIPTOR.message_types_by_name["GcsSource"] = _GCSSOURCE
DESCRIPTOR.message_types_by_name["GcsDestination"] = _GCSDESTINATION
_sym_db.RegisterFileDescriptor(DESCRIPTOR)

InputConfig = _reflection.GeneratedProtocolMessageType(
    "InputConfig",
    (_message.Message,),
    dict(
        ParamsEntry=_reflection.GeneratedProtocolMessageType(
            "ParamsEntry",
            (_message.Message,),
            dict(
                DESCRIPTOR=_INPUTCONFIG_PARAMSENTRY,
                __module__="google.cloud.automl_v1.proto.io_pb2"
                # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.InputConfig.ParamsEntry)
            ),
        ),
        DESCRIPTOR=_INPUTCONFIG,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""Input configuration for ImportData Action.
  
  The format of input depends on dataset\_metadata the Dataset into which
  the import is happening has. As input source the
  [gcs\_source][google.cloud.automl.v1beta1.InputConfig.gcs\_source] is
  expected, unless specified otherwise. Additionally any input .CSV file
  by itself must be 100MB or smaller, unless specified otherwise. If an
  "example" file (that is, image, video etc.) with identical content (even
  if it had different GCS\_FILE\_PATH) is mentioned multiple times, then
  its label, bounding boxes etc. are appended. The same file should be
  always provided with the same ML\_USE and GCS\_FILE\_PATH, if it is not,
  then these values are nondeterministically selected from the given ones.
  
  Errors: If any of the provided CSV files can't be parsed or if more than
  certain percent of CSV rows cannot be processed then the operation fails
  and nothing is imported. Regardless of overall success or failure the
  per-row failures, up to a certain count cap, is listed in
  Operation.metadata.partial\_failures.
  
  
  Attributes:
      source:
          The source of the input.
      gcs_source:
          The Google Cloud Storage location for the input content. In
          ImportData, the gcs\_source points to a csv with structure
          described in the comment.
      params:
          Additional domain-specific parameters describing the semantic
          of the imported data, any string must be up to 25000
          characters long.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.InputConfig)
    ),
)
_sym_db.RegisterMessage(InputConfig)
_sym_db.RegisterMessage(InputConfig.ParamsEntry)

OutputConfig = _reflection.GeneratedProtocolMessageType(
    "OutputConfig",
    (_message.Message,),
    dict(
        DESCRIPTOR=_OUTPUTCONFIG,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""
-  For Translation: CSV file ``translation.csv``, with each line in
     format: ML\_USE,GCS\_FILE\_PATH GCS\_FILE\_PATH leads to a .TSV file
     which describes examples that have given ML\_USE, using the following
     row format per line: TEXT\_SNIPPET (in source language)
     \\tTEXT\_SNIPPET (in target language)
  
  ``export_data_<automl-dataset-display-name>_<timestamp-of-export-call>``
  where will be made BigQuery-dataset-name compatible (e.g. most special
  characters will become underscores), and timestamp will be in
  YYYY\_MM\_DDThh\_mm\_ss\_sssZ "based on ISO-8601" format. In that
  dataset a new table called ``primary_table`` will be created, and filled
  with precisely the same data as this obtained on import.
  
  
  Attributes:
      destination:
          Required. The destination of the output.
      gcs_destination:
          The Google Cloud Storage location where the output is to be
          written to. For Image Object Detection, Text Extraction, Video
          Classification and Tables, in the given directory a new
          directory will be created with name: export\_data-- where
          timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All
          export output will be written into that directory.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.OutputConfig)
    ),
)
_sym_db.RegisterMessage(OutputConfig)

GcsSource = _reflection.GeneratedProtocolMessageType(
    "GcsSource",
    (_message.Message,),
    dict(
        DESCRIPTOR=_GCSSOURCE,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""The Google Cloud Storage location for the input content.
  
  
  Attributes:
      input_uris:
          Required. Google Cloud Storage URIs to input files, up to 2000
          characters long. Accepted forms: \* Full object path, e.g.
          gs://bucket/directory/object.csv
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.GcsSource)
    ),
)
_sym_db.RegisterMessage(GcsSource)

GcsDestination = _reflection.GeneratedProtocolMessageType(
    "GcsDestination",
    (_message.Message,),
    dict(
        DESCRIPTOR=_GCSDESTINATION,
        __module__="google.cloud.automl_v1.proto.io_pb2",
        __doc__="""The Google Cloud Storage location where the output is to be written to.
  
  
  Attributes:
      output_uri_prefix:
          Required. Google Cloud Storage URI to output directory, up to
          2000 characters long. Accepted forms: \* Prefix path:
          gs://bucket/directory The requesting user must have write
          permission to the bucket. The directory is created if it
          doesn't exist.
  """,
        # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.GcsDestination)
    ),
)
_sym_db.RegisterMessage(GcsDestination)


DESCRIPTOR._options = None
_INPUTCONFIG_PARAMSENTRY._options = None
# @@protoc_insertion_point(module_scope)

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler.  DO NOT EDIT! # source: google/cloud/automl_v1/proto/io.proto # @@protoc_insertion_point(imports) # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.InputConfig.ParamsEntry) Input configuration for ImportData Action.      The format of input depends on dataset\_metadata the Dataset into which   the import is happening has. As input source the   [gcs\_source][google.cloud.automl.v1beta1.InputConfig.gcs\_source] is   expected, unless specified otherwise. Additionally any input .CSV file   by itself must be 100MB or smaller, unless specified otherwise. If an   "example" file (that is, image, video etc.) with identical content (even   if it had different GCS\_FILE\_PATH) is mentioned multiple times, then   its label, bounding boxes etc. are appended. The same file should be   always provided with the same ML\_USE and GCS\_FILE\_PATH, if it is not,   then these values are nondeterministically selected from the given ones.      Errors: If any of the provided CSV files can't be parsed or if more than   certain percent of CSV rows cannot be processed then the operation fails   and nothing is imported. Regardless of overall success or failure the   per-row failures, up to a certain count cap, is listed in   Operation.metadata.partial\_failures.         Attributes:       source:           The source of the input.       gcs_source:           The Google Cloud Storage location for the input content. In           ImportData, the gcs\_source points to a csv with structure           described in the comment.       params:           Additional domain-specific parameters describing the semantic           of the imported data, any string must be up to 25000           characters long. # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.InputConfig) -  For Translation: CSV file ``translation.csv``, with each line in      format: ML\_USE,GCS\_FILE\_PATH GCS\_FILE\_PATH leads to a .TSV file      which describes examples that have given ML\_USE, using the following      row format per line: TEXT\_SNIPPET (in source language)      \\tTEXT\_SNIPPET (in target language)      ``export_data_<automl-dataset-display-name>_<timestamp-of-export-call>``   where will be made BigQuery-dataset-name compatible (e.g. most special   characters will become underscores), and timestamp will be in   YYYY\_MM\_DDThh\_mm\_ss\_sssZ "based on ISO-8601" format. In that   dataset a new table called ``primary_table`` will be created, and filled   with precisely the same data as this obtained on import.         Attributes:       destination:           Required. The destination of the output.       gcs_destination:           The Google Cloud Storage location where the output is to be           written to. For Image Object Detection, Text Extraction, Video           Classification and Tables, in the given directory a new           directory will be created with name: export\_data-- where           timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All           export output will be written into that directory. # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.OutputConfig) The Google Cloud Storage location for the input content.         Attributes:       input_uris:           Required. Google Cloud Storage URIs to input files, up to 2000           characters long. Accepted forms: \* Full object path, e.g.           gs://bucket/directory/object.csv # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.GcsSource) The Google Cloud Storage location where the output is to be written to.         Attributes:       output_uri_prefix:           Required. Google Cloud Storage URI to output directory, up to           2000 characters long. Accepted forms: \* Prefix path:           gs://bucket/directory The requesting user must have write           permission to the bucket. The directory is created if it           doesn't exist. # @@protoc_insertion_point(class_scope:google.cloud.automl.v1.GcsDestination) # @@protoc_insertion_point(module_scope)