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feat: [google-cloud-dlp] discovery of Vertex AI datasets (#13540)
- [ ] Regenerate this pull request now. docs: documentation revisions for data profiles PiperOrigin-RevId: 728394045 Source-Link: googleapis/googleapis@40bad3e Source-Link: googleapis/googleapis-gen@ff329ff Copy-Tag: eyJwIjoicGFja2FnZXMvZ29vZ2xlLWNsb3VkLWRscC8uT3dsQm90LnlhbWwiLCJoIjoiZmYzMjlmZjA5M2FjYWY0MjJmYTNmY2FmMGZhYTJiNmY4NGJkMTM3OSJ9 --------- Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
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‎packages/google-cloud-dlp/README.rst‎

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@@ -26,12 +26,12 @@ In order to use this library, you first need to go through the following steps:
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1. `Select or create a Cloud Platform project.`_
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2. `Enable billing for your project.`_
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3. `Enable the Cloud Data Loss Prevention.`_
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4. `Setup Authentication.`_
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4. `Set up Authentication.`_
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.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
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.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
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.. _Enable the Cloud Data Loss Prevention.: https://cloud.google.com/dlp/docs/
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.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
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.. _Set up Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
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Installation
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~~~~~~~~~~~~

‎packages/google-cloud-dlp/google/cloud/dlp/__init__.py‎

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@@ -123,6 +123,9 @@
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DiscoveryStartingLocation,
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DiscoveryTableModifiedCadence,
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DiscoveryTarget,
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DiscoveryVertexDatasetConditions,
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DiscoveryVertexDatasetFilter,
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DiscoveryVertexDatasetGenerationCadence,
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DlpJob,
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DlpJobType,
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DocumentLocation,
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OutputStorageConfig,
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PrimitiveTransformation,
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PrivacyMetric,
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ProcessingLocation,
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ProfileGeneration,
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ProfileStatus,
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ProjectDataProfile,
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RedactImageResponse,
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ReidentifyContentRequest,
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ReidentifyContentResponse,
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RelatedResource,
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RelationalOperator,
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ReplaceDictionaryConfig,
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ReplaceValueConfig,
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Value,
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ValueFrequency,
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VersionDescription,
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VertexDatasetCollection,
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VertexDatasetDiscoveryTarget,
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VertexDatasetRegex,
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VertexDatasetRegexes,
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VertexDatasetResourceReference,
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)
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from google.cloud.dlp_v2.types.storage import (
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BigQueryField,
@@ -411,6 +421,9 @@
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"DiscoveryStartingLocation",
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"DiscoveryTableModifiedCadence",
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"DiscoveryTarget",
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"DiscoveryVertexDatasetConditions",
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"DiscoveryVertexDatasetFilter",
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"DiscoveryVertexDatasetGenerationCadence",
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"DlpJob",
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"DocumentLocation",
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"Error",
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"OutputStorageConfig",
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"PrimitiveTransformation",
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"PrivacyMetric",
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"ProcessingLocation",
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"ProfileStatus",
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"ProjectDataProfile",
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"QuasiId",
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"RedactImageResponse",
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"ReidentifyContentRequest",
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"ReidentifyContentResponse",
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"RelatedResource",
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"ReplaceDictionaryConfig",
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"ReplaceValueConfig",
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"ReplaceWithInfoTypeConfig",
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"Value",
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"ValueFrequency",
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"VersionDescription",
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"VertexDatasetCollection",
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"VertexDatasetDiscoveryTarget",
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"VertexDatasetRegex",
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"VertexDatasetRegexes",
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"VertexDatasetResourceReference",
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"BigQuerySchemaModification",
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"BigQueryTableModification",
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"BigQueryTableType",

‎packages/google-cloud-dlp/google/cloud/dlp/gapic_version.py‎

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@@ -13,4 +13,4 @@
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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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__version__ = "3.27.0" # {x-release-please-version}
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__version__ = "0.0.0" # {x-release-please-version}

‎packages/google-cloud-dlp/google/cloud/dlp_v2/__init__.py‎

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DiscoveryStartingLocation,
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DiscoveryTableModifiedCadence,
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DiscoveryTarget,
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DiscoveryVertexDatasetConditions,
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DiscoveryVertexDatasetFilter,
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DiscoveryVertexDatasetGenerationCadence,
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DlpJob,
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DlpJobType,
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DocumentLocation,
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OutputStorageConfig,
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PrimitiveTransformation,
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PrivacyMetric,
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ProcessingLocation,
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ProfileGeneration,
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ProfileStatus,
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ProjectDataProfile,
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RedactImageResponse,
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ReidentifyContentRequest,
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ReidentifyContentResponse,
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RelatedResource,
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RelationalOperator,
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ReplaceDictionaryConfig,
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ReplaceValueConfig,
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Value,
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ValueFrequency,
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VersionDescription,
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VertexDatasetCollection,
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VertexDatasetDiscoveryTarget,
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VertexDatasetRegex,
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VertexDatasetRegexes,
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VertexDatasetResourceReference,
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)
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from .types.storage import (
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BigQueryField,
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"DiscoveryStartingLocation",
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"DiscoveryTableModifiedCadence",
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"DiscoveryTarget",
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"DiscoveryVertexDatasetConditions",
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"DiscoveryVertexDatasetFilter",
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"DiscoveryVertexDatasetGenerationCadence",
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"DlpJob",
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"DlpJobType",
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"DlpServiceClient",
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"PartitionId",
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"PrimitiveTransformation",
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"PrivacyMetric",
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"ProcessingLocation",
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"ProfileGeneration",
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"ProfileStatus",
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"ProjectDataProfile",
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"RedactImageResponse",
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"ReidentifyContentRequest",
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"ReidentifyContentResponse",
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"RelatedResource",
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"RelationalOperator",
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"ReplaceDictionaryConfig",
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"ReplaceValueConfig",
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"Value",
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"ValueFrequency",
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"VersionDescription",
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"VertexDatasetCollection",
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"VertexDatasetDiscoveryTarget",
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"VertexDatasetRegex",
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"VertexDatasetRegexes",
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"VertexDatasetResourceReference",
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)

‎packages/google-cloud-dlp/google/cloud/dlp_v2/gapic_version.py‎

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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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__version__ = "3.27.0" # {x-release-please-version}
16+
__version__ = "0.0.0" # {x-release-please-version}

‎packages/google-cloud-dlp/google/cloud/dlp_v2/services/dlp_service/async_client.py‎

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@@ -708,7 +708,7 @@ async def list_info_types(
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metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
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) -> dlp.ListInfoTypesResponse:
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r"""Returns a list of the sensitive information types
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that DLP API supports. See
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that the DLP API supports. See
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https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference
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to learn more.
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Args:
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request (Optional[Union[google.cloud.dlp_v2.types.GetDlpJobRequest, dict]]):
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The request object. The request message for [DlpJobs.GetDlpJob][].
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The request object. The request message for
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[GetDlpJob][google.privacy.dlp.v2.DlpService.GetDlpJob].
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name (:class:`str`):
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Required. The name of the DlpJob
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resource.
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google.cloud.dlp_v2.types.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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# Create or coerce a protobuf request object.
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google.cloud.dlp_v2.types.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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# Create or coerce a protobuf request object.
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google.cloud.dlp_v2.types.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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# Create or coerce a protobuf request object.

‎packages/google-cloud-dlp/google/cloud/dlp_v2/services/dlp_service/client.py‎

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@@ -1329,7 +1329,7 @@ def list_info_types(
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metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
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) -> dlp.ListInfoTypesResponse:
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r"""Returns a list of the sensitive information types
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that DLP API supports. See
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that the DLP API supports. See
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https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference
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to learn more.
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Args:
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request (Union[google.cloud.dlp_v2.types.GetDlpJobRequest, dict]):
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The request object. The request message for [DlpJobs.GetDlpJob][].
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The request object. The request message for
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[GetDlpJob][google.privacy.dlp.v2.DlpService.GetDlpJob].
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name (str):
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Required. The name of the DlpJob
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resource.
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Returns:
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google.cloud.dlp_v2.types.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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# Create or coerce a protobuf request object.
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google.cloud.dlp_v2.types.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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# Create or coerce a protobuf request object.
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google.cloud.dlp_v2.types.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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# Create or coerce a protobuf request object.

‎packages/google-cloud-dlp/google/cloud/dlp_v2/services/dlp_service/transports/grpc.py‎

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r"""Return a callable for the list info types method over gRPC.
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Returns a list of the sensitive information types
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that DLP API supports. See
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that the DLP API supports. See
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https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference
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to learn more.
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‎packages/google-cloud-dlp/google/cloud/dlp_v2/services/dlp_service/transports/grpc_asyncio.py‎

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r"""Return a callable for the list info types method over gRPC.
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Returns a list of the sensitive information types
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that DLP API supports. See
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that the DLP API supports. See
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https://cloud.google.com/sensitive-data-protection/docs/infotypes-reference
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to learn more.
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‎packages/google-cloud-dlp/google/cloud/dlp_v2/services/dlp_service/transports/rest.py‎

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~.dlp.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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Returns:
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~.dlp.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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"""
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Args:
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request (~.dlp.GetDlpJobRequest):
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The request object. The request message for [DlpJobs.GetDlpJob][].
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The request object. The request message for
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[GetDlpJob][google.privacy.dlp.v2.DlpService.GetDlpJob].
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retry (google.api_core.retry.Retry): Designation of what errors, if any,
60526053
should be retried.
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timeout (float): The timeout for this request.
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Returns:
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~.dlp.Connection:
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A data connection to allow DLP to
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profile data in locations that require
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additional configuration.
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A data connection to allow the DLP
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API to profile data in locations that
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require additional configuration.
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98529853
"""
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