Ordered by severity, then signals introduced in this release. Hidden characters are shown as ⟨U+…⟩.
-
compression ratio 0.857 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Optional. If true, schedule the deployment workload on [spot VMs](https://cloud.google.com/kubernetes-engine/docs/concepts/spot-vms).""",
)
starting_replica_count: Optional[int] = Field(
-
compression ratio 0.857 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
spot: Optional[bool]
starting_replica_count: Optional[int]
-
line length 636 characters (raw pass, confidence 0.50)
request_init["memory"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'revision_expire_time': {}, 'revision_ttl': {}, 'disable_memory_revisions': True, 'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'create_time': {}, 'update
-
line length 702 characters (raw pass, confidence 0.50)
request_init["memory"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'revision_expire_time': {}, 'revision_ttl': {}, 'disable_memory_revisions': True, 'name': 'projects/sample1/locations/sample2/reasoningEngines/sample3/memories/sample4', 'display_name': 'display_name_valu
-
line length 636 characters (raw pass, confidence 0.50)
request_init["memory"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'revision_expire_time': {}, 'revision_ttl': {}, 'disable_memory_revisions': True, 'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'create_time': {}, 'update
-
line length 702 characters (raw pass, confidence 0.50)
request_init["memory"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'revision_expire_time': {}, 'revision_ttl': {}, 'disable_memory_revisions': True, 'name': 'projects/sample1/locations/sample2/reasoningEngines/sample3/memories/sample4', 'display_name': 'display_name_valu
-
line length 611 characters (raw pass, confidence 0.50)
* Add `psc_endpoint` parameter to `Sandboxes.send_command` and `Sandboxes.generate_browser_ws_headers` so VPC-SC sandboxes with `ingressControlConfig.enablePrivateServiceConnect=true` (which populate only `connection_info.service_attachment`, never `load_balancer_hostname` / `load_balancer_ip`) can route data-plane tra
-
line length 860 characters (raw pass, confidence 0.50)
* GenAI SDK client - Breaking Change: Remove the following types from vertexai.types and depend on these types from the Google GenAI SDK via google.genai.types - ComputationBasedMetricType, FunctionResponseScheduling, MediaResolution, Outcome, PairwiseChoice, RubricContentType, Blob, CodeExecutionResult, ExecutableCode
-
reach-by-name through `globals` (ast pass, confidence 0.60)
prebuilt_metric_obj = getattr(module, name)
globals()[name] = prebuilt_metric_obj
return prebuilt_metric_obj
raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
likely benign
LLM, confidence 0.93
Module-level __getattr__ that lazily resolves and caches prebuilt metric attributes into globals().
Reasoning
This is a standard lazy-loading module __getattr__ pattern that caches a lazily fetched attribute into globals; the name comes from a fixed module and is not attacker-controlled.
-
compression ratio 0.838 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Optional. Represents the type of the structured memories associated with the schema. If not set, then `STRUCTURED_PROFILE` will be used.""",
)
-
compression ratio 0.838 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
memory_type: Optional[MemoryType]
-
compression ratio 0.827 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Weaviate DB instance HTTP endpoint. e.g. 34.56.78.90:8080 Vertex RAG only supports HTTP connection to Weaviate. This value cannot be changed after it's set.""",
)
-
compression ratio 0.827 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
http_endpoint: Optional[str]
-
compression ratio 0.841 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Sets the RAG Engine backend to be RagManagedDb, built on top of Spanner. NOTE: This is the default mode (w/ Basic Tier) if not explicitly chosen.""",
)
unprovisioned: Optional[RagManagedDbConfigUnprovisioned] = Field(
-
compression ratio 0.841 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
spanner: Optional[RagManagedDbConfigSpannerDict]
unprovisioned: Optional[RagManagedDbConfigUnprovisionedDict]
-
compression ratio 0.857 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Optional. If true, schedule the deployment workload on [spot VMs](https://cloud.google.com/kubernetes-engine/docs/concepts/spot-vms).""",
)
-
compression ratio 0.857 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
spot: Optional[bool]
-
compression ratio 0.821 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Optional. The parent that this model was customized from. E.g., Vision API, Natural Language API, LaMDA, T5, etc. Foundation models don't have parents.""",
)
predict_schemata: Optional[PredictSchemata] = Field(
-
compression ratio 0.821 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
parent: Optional[PublisherModelParentDict]
predict_schemata: Optional[PredictSchemataDict]
-
compression ratio 0.892 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Required. The coarse-grained type of feedback provided by the user. Must be set to a value other than `FEEDBACK_TYPE_UNSPECIFIED`.""",
)
name: Optional[str] = Field(
-
compression ratio 0.892 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
feedback_type: Optional[FeedbackType]
name: Optional[str]
-
compression ratio 0.822 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
default=None,
description="""Preset option controlling parameters for speed-precision trade-off when querying for examples. If omitted, defaults to `PRECISE`.""",
)
-
compression ratio 0.822 is >2σ above file mean 0.671 (raw pass, confidence 0.50)
query: Optional[Literal["PRECISE", "FAST"]]
-
[embedded bash] redirect writes to `pip` — filename matches a system command (PATH hijack setup) (ast pass, confidence 0.88)
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-aiplatform
dismissed
LLM, confidence 0.90
Docs showing installing the SDK via pip inside a user's virtualenv.
Reasoning
This is a documentation install snippet where pip is invoked by an explicit path inside a virtualenv; the 'redirect writes to pip' heuristic misfires on a path-prefixed command in docs, not a PATH hijack.
-
`inspect.currentframe` — call-stack frame introspection (ast pass, confidence 0.70)
likely benign
LLM, confidence 0.90
Iterates call-stack frames to find the calling context in the SDK initializer.
Reasoning
Walking the call stack via inspect.currentframe is used to infer caller context for SDK initialization, a common and legitimate pattern with no exfiltration or hidden execution.
-
[embedded bash] redirect writes to `pip` — filename matches a system command (PATH hijack setup) (ast pass, confidence 0.88)
source <your-env>/bin/activate
<your-env>/bin/pip install "google-cloud-aiplatform[prediction]>=1.16.0"
dismissed
LLM, confidence 0.90
README install instruction for the SDK with extras inside a virtualenv.
Reasoning
Same as the docs case: a README install instruction using an explicit virtualenv pip path; the path-command-shadow flag is a false positive on documentation.
-
`exec` at module scope (runs on import) on a non-literal expression (ast pass, confidence 0.80)
with open(os.path.join(package_root, "version.py")) as fp:
exec(fp.read(), version)
version = version["__version__"]
likely benign
LLM, confidence 0.80
setup.py execs a local version.py to read the package version string.
Reasoning
Exec of version.py contents in setup.py is a known idiom to read __version__ from a file without importing the package; the source is a local file in the package tree. Still, exec at module scope in a setup script is worth a note, though it is a legitimate pattern here.
-
`exec` at module scope (runs on import) on a non-literal expression (ast pass, confidence 0.80)
with open(os.path.join(package_root, "google/cloud/aiplatform/version.py")) as fp:
exec(fp.read(), version)
version = version["__version__"]
likely benign
LLM, confidence 0.80
setup.py execs the local aiplatform version.py to extract __version__.
Reasoning
Same version-reading exec idiom reading google/cloud/aiplatform/version.py, a local file shipped with the source; the non-literal exec is a common setup pattern rather than malicious behavior.
-
base64-like blob (72 bytes, compression ratio 1.15) (raw pass, confidence 0.60)
OUElT7LFxkydEHxG9f2V1CKXSyu_x_i6TjJN2gk6N7HByNZIK_hEfINsCTa82zilcNTyMvRSPKao2vBM8KwZu6vJZXITJepGyRMb5FMT9FH6RjLHsM0mpr1CyN-i1vcsMo3aycjdMede0kV9YqTedW29id5TBpGXrrxjep0pO4kVGDIf-e_3edsI1APtxG20VNl2ne5o6_-r-oRer_Ypk2dd0s_Z82oP_3kLdaes-ensFLzpKOenaP5OajJ92fvoMLRyE6ww7LjrTwkzWeDnm-nmA_PqkN7PX5vOMJnwcAAAAAAAAAAAAAAAAAAADAdr
likely benign
LLM, confidence 0.90
Long base64-like string inside a replay test fixture recording.
Reasoning
The raw match is a long opaque token inside a replay test fixture, which is recorded HTTP/auth response data; high-entropy strings like this are typical in test recordings and carry no executable payload.
-
base64-like blob (12440 bytes, compression ratio 0.75) (raw pass, confidence 0.60)
ate_docker_base64_encoded_tarball.return_value = "H4sIAAAAAAAAA+xdzW8bSXanPYska2DXQRBgMbda7kE2QrW6+pMU1pvYsux11iNrJc1MDEMgWmSJ7HGzm+5uyvYMBtgsctzDHjxIECRAgOSYY475C5L/Yo4Bcshtj6kPypTF7mq+MtX6qoe2aDb796pe1atXVa+qXxlrjTMnk5LvuvyT0ulP/n/sYsfGju9aDr3v+9hvIPfss9ZoTLI8SBFqpEmSy56r+v2SkrFm9JL4MBycoR4sWP+25TiuadsNE2PLdnT910Gz+j
likely benign
LLM, confidence 0.85
Base64-encoded gzip tarball used as a mocked return value in test conftest.
Reasoning
A gzipped tarball encoded as base64 (H4sI prefix) used as a mocked Docker build return value in tests; it is test data, not a dropper, though its contents are not visible in the snippet.
-
command name is a variable (`$COPYBARA_EXEC`) that this file sets only to plain text (ast pass, confidence 0.40)
COPYBARA_EXEC="/google/bin/releases/copybara/public/copybara/copybara"
"$COPYBARA_EXEC" third_party/py/google/cloud/aiplatform/copy.bara.sky folder_to_folder .. --folder-dir="$TEMP_DIR" --ignore-noop
-
`eval` called on a string literal (ast pass, confidence 0.85)
eval set -- "$PARSED_ARGS"
TEST_FILE_ARG=""
likely benign
LLM, confidence 0.80
Shell script uses eval set -- to re-parse getopt output for test arguments.
Reasoning
eval set -- on the output of getopt is the standard idiom for parsing shell arguments; the string is produced by the script itself, not external input.
-
line length 984 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}
-
line length 1025 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_va
-
line length 509 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'name_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'stri
-
line length 574 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3/datasetVersions/sample4', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata'
-
line length 984 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}
-
line length 1025 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_va
-
line length 509 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'name_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'stri
-
line length 574 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3/datasetVersions/sample4', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata'
-
line length 882 characters (raw pass, confidence 0.50)
request_init["deployment_resource_pool"] = {'name': 'projects/sample1/locations/sample2/deploymentResourcePools/sample3', 'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_value', 'tpu_topology':
-
line length 882 characters (raw pass, confidence 0.50)
request_init["deployment_resource_pool"] = {'name': 'projects/sample1/locations/sample2/deploymentResourcePools/sample3', 'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_value', 'tpu_topology':
-
line length 3978 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["endpoint"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'deployed_models': [{'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_
-
line length 4020 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["endpoint"] = {'name': 'projects/sample1/locations/sample2/endpoints/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'deployed_models': [{'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805,
-
line length 3978 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["endpoint"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'deployed_models': [{'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_
-
line length 4020 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["endpoint"] = {'name': 'projects/sample1/locations/sample2/endpoints/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'deployed_models': [{'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805,
-
line length 1200 characters (raw pass, confidence 0.50)
request_init["feature_view"] = {'big_query_source': {'uri': 'uri_value', 'entity_id_columns': ['entity_id_columns_value1', 'entity_id_columns_value2']}, 'feature_registry_source': {'feature_groups': [{'feature_group_id': 'feature_group_id_value', 'feature_ids': ['feature_ids_value1', 'feature_ids_value2']}], 'proje
-
line length 1200 characters (raw pass, confidence 0.50)
request_init["feature_view"] = {'big_query_source': {'uri': 'uri_value', 'entity_id_columns': ['entity_id_columns_value1', 'entity_id_columns_value2']}, 'feature_registry_source': {'feature_groups': [{'feature_group_id': 'feature_group_id_value', 'feature_ids': ['feature_ids_value1', 'feature_ids_value2']}], 'proje
-
line length 626 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, 'monitoring_stats_anomalies': [{'objective': 1, 'feature_stats_anomaly': {'score': 0
-
line length 689 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featureGroups/sample3/features/sample4', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, 'monitoring_stats_ano
-
line length 626 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, 'monitoring_stats_anomalies': [{'objective': 1, 'feature_stats_anomaly': {'score': 0
-
line length 689 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featureGroups/sample3/features/sample4', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, 'monitoring_stats_ano
-
line length 501 characters (raw pass, confidence 0.50)
request_init["featurestore"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'labels': {}, 'online_serving_config': {'fixed_node_count': 1693, 'scaling': {'min_node_count': 1489, 'max_node_count': 1491, 'c
-
line length 555 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'name_value', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval_days': 2586, 'staleness_days': 1506}, 'imp
-
line length 621 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': Tru
-
line length 626 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, 'monitoring_stats_anomalies': [{'objective': 1, 'feature_stats_anomaly': {'score': 0
-
line length 709 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4/features/sample5', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, '
-
line length 501 characters (raw pass, confidence 0.50)
request_init["featurestore"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'labels': {}, 'online_serving_config': {'fixed_node_count': 1693, 'scaling': {'min_node_count': 1489, 'max_node_count': 1491, 'c
-
line length 555 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'name_value', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval_days': 2586, 'staleness_days': 1506}, 'imp
-
line length 621 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': Tru
-
line length 626 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, 'monitoring_stats_anomalies': [{'objective': 1, 'feature_stats_anomaly': {'score': 0
-
line length 709 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4/features/sample5', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'disable_monitoring': True, '
-
line length 4313 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime
-
line length 4360 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'projects/sample1/locations/sample2/cachedContents/sample3', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': '
-
line length 4313 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime
-
line length 4360 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'projects/sample1/locations/sample2/cachedContents/sample3', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': '
-
line length 7367 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["tuning_job"] = {'base_model': 'base_model_value', 'pre_tuned_model': {'tuned_model_name': 'tuned_model_name_value', 'checkpoint_id': 'checkpoint_id_value', 'base_model': 'base_model_value'}, 'supervised_tuning_spec': {'training_dataset_uri': 'training_dataset_uri_value', 'validation_dataset_uri': 'val
-
line length 7367 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["tuning_job"] = {'base_model': 'base_model_value', 'pre_tuned_model': {'tuned_model_name': 'tuned_model_name_value', 'checkpoint_id': 'checkpoint_id_value', 'base_model': 'base_model_value'}, 'supervised_tuning_spec': {'training_dataset_uri': 'training_dataset_uri_value', 'validation_dataset_uri': 'val
-
line length 828 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}},
-
line length 868 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'projects/sample1/locations/sample2/indexes/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value
-
line length 828 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}},
-
line length 868 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'projects/sample1/locations/sample2/indexes/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value
-
line length 1242 characters (raw pass, confidence 0.50)
request_init["data_labeling_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'datasets': ['datasets_value1', 'datasets_value2'], 'annotation_labels': {}, 'labeler_count': 1375, 'instruction_uri': 'instruction_uri_value', 'inputs_schema_uri': 'inputs_schema_uri_value', 'inputs': {'null_value': 0,
-
line length 4945 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["hyperparameter_tuning_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_automated_stopping_spec': {'max_step_count': 1513, 'min_step_
-
line length 4687 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["batch_prediction_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'model_version_id': 'model_version_id_value', 'unmanaged_container_model': {'artifact_uri': 'artifact_uri_value', 'predict_schemata': {'instance_schema_uri': 'instance_schema_uri_value', 'para
-
line length 1242 characters (raw pass, confidence 0.50)
request_init["data_labeling_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'datasets': ['datasets_value1', 'datasets_value2'], 'annotation_labels': {}, 'labeler_count': 1375, 'instruction_uri': 'instruction_uri_value', 'inputs_schema_uri': 'inputs_schema_uri_value', 'inputs': {'null_value': 0,
-
line length 4945 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["hyperparameter_tuning_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_automated_stopping_spec': {'max_step_count': 1513, 'min_step_
-
line length 4687 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["batch_prediction_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'model_version_id': 'model_version_id_value', 'unmanaged_container_model': {'artifact_uri': 'artifact_uri_value', 'predict_schemata': {'instance_schema_uri': 'instance_schema_uri_value', 'para
-
line length 4203 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model"] = {'name': 'projects/sample1/locations/sample2/models/sample3', 'version_id': 'version_id_value', 'version_aliases': ['version_aliases_value1', 'version_aliases_value2'], 'version_create_time': {'seconds': 751, 'nanos': 543}, 'version_update_time': {}, 'display_name': 'display_name_value', 'de
-
line length 4203 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model"] = {'name': 'projects/sample1/locations/sample2/models/sample3', 'version_id': 'version_id_value', 'version_aliases': ['version_aliases_value1', 'version_aliases_value2'], 'version_create_time': {'seconds': 751, 'nanos': 543}, 'version_update_time': {}, 'display_name': 'display_name_value', 'de
-
line length 5681 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["training_pipeline"] = {'name': 'name_value', 'display_name': 'display_name_value', 'input_data_config': {'fraction_split': {'training_fraction': 0.1809, 'validation_fraction': 0.2016, 'test_fraction': 0.13970000000000002}, 'filter_split': {'training_filter': 'training_filter_value', 'validation_filter
-
line length 5681 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["training_pipeline"] = {'name': 'name_value', 'display_name': 'display_name_value', 'input_data_config': {'fraction_split': {'training_fraction': 0.1809, 'validation_fraction': 0.2016, 'test_fraction': 0.13970000000000002}, 'filter_split': {'training_filter': 'training_filter_value', 'validation_filter
-
line length 3244 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["event"] = {'name': 'name_value', 'author': 'author_value', 'content': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime_type_value', 'data': b'data_blob'}, 'file_data': {'mime_type': 'mime_type_value', 'file_uri': 'file_uri_value'}, 'function_call': {'name': 'n
-
line length 3244 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["event"] = {'name': 'name_value', 'author': 'author_value', 'content': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime_type_value', 'data': b'data_blob'}, 'file_data': {'mime_type': 'mime_type_value', 'file_uri': 'file_uri_value'}, 'function_call': {'name': 'n
-
line length 1840 characters (raw pass, confidence 0.50)
request_init["study"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_automated_stopping_spec': {'max_step_count': 1513, 'min_step_count': 1511, 'min_m
-
line length 685 characters (raw pass, confidence 0.50)
request_init["trial"] = {'name': 'name_value', 'id': 'id_value', 'state': 1, 'parameters': [{'parameter_id': 'parameter_id_value', 'value': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}}, 'list_value': {'values': {}}}}], 'final_meas
-
line length 1840 characters (raw pass, confidence 0.50)
request_init["study"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_automated_stopping_spec': {'max_step_count': 1513, 'min_step_count': 1511, 'min_m
-
line length 685 characters (raw pass, confidence 0.50)
request_init["trial"] = {'name': 'name_value', 'id': 'id_value', 'state': 1, 'parameters': [{'parameter_id': 'parameter_id_value', 'value': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}}, 'list_value': {'values': {}}}}], 'final_meas
-
line length 984 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}
-
line length 1025 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_va
-
line length 509 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'name_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'stri
-
line length 574 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3/datasetVersions/sample4', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata'
-
line length 984 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}
-
line length 1025 characters (raw pass, confidence 0.50)
request_init["dataset"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_va
-
line length 509 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'name_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'stri
-
line length 574 characters (raw pass, confidence 0.50)
request_init["dataset_version"] = {'name': 'projects/sample1/locations/sample2/datasets/sample3/datasetVersions/sample4', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'big_query_dataset_name': 'big_query_dataset_name_value', 'display_name': 'display_name_value', 'metadata'
-
line length 1189 characters (raw pass, confidence 0.50)
request_init["deployment_resource_pool"] = {'name': 'projects/sample1/locations/sample2/deploymentResourcePools/sample3', 'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_value', 'tpu_topology':
-
line length 1189 characters (raw pass, confidence 0.50)
request_init["deployment_resource_pool"] = {'name': 'projects/sample1/locations/sample2/deploymentResourcePools/sample3', 'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_value', 'tpu_topology':
-
line length 4800 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["endpoint"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'deployed_models': [{'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_
-
line length 4800 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["endpoint"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'deployed_models': [{'dedicated_resources': {'machine_spec': {'machine_type': 'machine_type_value', 'accelerator_type': 1, 'accelerator_count': 1805, 'gpu_partition_size': 'gpu_partition_size_
-
line length 531 characters (raw pass, confidence 0.50)
request_init["feature_group"] = {'big_query': {'big_query_source': {'input_uri': 'input_uri_value'}, 'entity_id_columns': ['entity_id_columns_value1', 'entity_id_columns_value2'], 'static_data_source': True, 'time_series': {'timestamp_column': 'timestamp_column_value'}, 'dense': True}, 'name': 'name_value', 'create
-
line length 577 characters (raw pass, confidence 0.50)
request_init["feature_group"] = {'big_query': {'big_query_source': {'input_uri': 'input_uri_value'}, 'entity_id_columns': ['entity_id_columns_value1', 'entity_id_columns_value2'], 'static_data_source': True, 'time_series': {'timestamp_column': 'timestamp_column_value'}, 'dense': True}, 'name': 'projects/sample1/loc
-
line length 1443 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval': {'seconds': 751, 'nanos': 5
-
line length 1506 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featureGroups/sample3/features/sample4', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disa
-
line length 1034 characters (raw pass, confidence 0.50)
request_init["feature_monitor_job"] = {'name': 'name_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'final_status': {'code': 411, 'message': 'message_value', 'details': [{'type_url': 'type.googleapis.com/google.protobuf.Duration', 'value': b'\x08\x0c\x10\xdb\x07'}]}, 'job_summary': {'total_slot_ms': 1412, '
-
line length 531 characters (raw pass, confidence 0.50)
request_init["feature_group"] = {'big_query': {'big_query_source': {'input_uri': 'input_uri_value'}, 'entity_id_columns': ['entity_id_columns_value1', 'entity_id_columns_value2'], 'static_data_source': True, 'time_series': {'timestamp_column': 'timestamp_column_value'}, 'dense': True}, 'name': 'name_value', 'create
-
line length 577 characters (raw pass, confidence 0.50)
request_init["feature_group"] = {'big_query': {'big_query_source': {'input_uri': 'input_uri_value'}, 'entity_id_columns': ['entity_id_columns_value1', 'entity_id_columns_value2'], 'static_data_source': True, 'time_series': {'timestamp_column': 'timestamp_column_value'}, 'dense': True}, 'name': 'projects/sample1/loc
-
line length 1443 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval': {'seconds': 751, 'nanos': 5
-
line length 1506 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featureGroups/sample3/features/sample4', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disa
-
line length 1034 characters (raw pass, confidence 0.50)
request_init["feature_monitor_job"] = {'name': 'name_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'final_status': {'code': 411, 'message': 'message_value', 'details': [{'type_url': 'type.googleapis.com/google.protobuf.Duration', 'value': b'\x08\x0c\x10\xdb\x07'}]}, 'job_summary': {'total_slot_ms': 1412, '
-
line length 501 characters (raw pass, confidence 0.50)
request_init["featurestore"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'labels': {}, 'online_serving_config': {'fixed_node_count': 1693, 'scaling': {'min_node_count': 1489, 'max_node_count': 1491, 'c
-
line length 610 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'name_value', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval': {'seconds': 751, 'nanos': 543}, 'monitor
-
line length 676 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': Tru
-
line length 1443 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval': {'seconds': 751, 'nanos': 5
-
line length 1526 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4/features/sample5', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapsh
-
line length 501 characters (raw pass, confidence 0.50)
request_init["featurestore"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'etag': 'etag_value', 'labels': {}, 'online_serving_config': {'fixed_node_count': 1693, 'scaling': {'min_node_count': 1489, 'max_node_count': 1491, 'c
-
line length 610 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'name_value', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval': {'seconds': 751, 'nanos': 543}, 'monitor
-
line length 676 characters (raw pass, confidence 0.50)
request_init["entity_type"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4', 'description': 'description_value', 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': Tru
-
line length 1443 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'name_value', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapshot_analysis': {'disabled': True, 'monitoring_interval': {'seconds': 751, 'nanos': 5
-
line length 1526 characters (raw pass, confidence 0.50)
request_init["feature"] = {'name': 'projects/sample1/locations/sample2/featurestores/sample3/entityTypes/sample4/features/sample5', 'description': 'description_value', 'value_type': 1, 'create_time': {'seconds': 751, 'nanos': 543}, 'update_time': {}, 'labels': {}, 'etag': 'etag_value', 'monitoring_config': {'snapsh
-
line length 4420 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime
-
line length 4467 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'projects/sample1/locations/sample2/cachedContents/sample3', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': '
-
line length 4420 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime
-
line length 4467 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["cached_content"] = {'expire_time': {'seconds': 751, 'nanos': 543}, 'ttl': {'seconds': 751, 'nanos': 543}, 'name': 'projects/sample1/locations/sample2/cachedContents/sample3', 'display_name': 'display_name_value', 'model': 'model_value', 'system_instruction': {'role': 'role_value', 'parts': [{'text': '
-
line length 9628 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["tuning_job"] = {'base_model': 'base_model_value', 'pre_tuned_model': {'tuned_model_name': 'tuned_model_name_value', 'checkpoint_id': 'checkpoint_id_value', 'base_model': 'base_model_value'}, 'supervised_tuning_spec': {'training_dataset_uri': 'training_dataset_uri_value', 'validation_dataset_uri': 'val
-
line length 9628 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["tuning_job"] = {'base_model': 'base_model_value', 'pre_tuned_model': {'tuned_model_name': 'tuned_model_name_value', 'checkpoint_id': 'checkpoint_id_value', 'base_model': 'base_model_value'}, 'supervised_tuning_spec': {'training_dataset_uri': 'training_dataset_uri_value', 'validation_dataset_uri': 'val
-
line length 828 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}},
-
line length 868 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'projects/sample1/locations/sample2/indexes/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value
-
line length 828 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'name_value', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}},
-
line length 868 characters (raw pass, confidence 0.50)
request_init["index"] = {'name': 'projects/sample1/locations/sample2/indexes/sample3', 'display_name': 'display_name_value', 'description': 'description_value', 'metadata_schema_uri': 'metadata_schema_uri_value', 'metadata': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value
-
line length 1242 characters (raw pass, confidence 0.50)
request_init["data_labeling_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'datasets': ['datasets_value1', 'datasets_value2'], 'annotation_labels': {}, 'labeler_count': 1375, 'instruction_uri': 'instruction_uri_value', 'inputs_schema_uri': 'inputs_schema_uri_value', 'inputs': {'null_value': 0,
-
line length 5372 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["hyperparameter_tuning_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_stop_config': {'max_num_steps': 1411, 'min_num_steps': 1409,
-
line length 6447 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["batch_prediction_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'model_version_id': 'model_version_id_value', 'unmanaged_container_model': {'artifact_uri': 'artifact_uri_value', 'predict_schemata': {'instance_schema_uri': 'instance_schema_uri_value', 'para
-
line length 1242 characters (raw pass, confidence 0.50)
request_init["data_labeling_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'datasets': ['datasets_value1', 'datasets_value2'], 'annotation_labels': {}, 'labeler_count': 1375, 'instruction_uri': 'instruction_uri_value', 'inputs_schema_uri': 'inputs_schema_uri_value', 'inputs': {'null_value': 0,
-
line length 5372 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["hyperparameter_tuning_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_stop_config': {'max_num_steps': 1411, 'min_num_steps': 1409,
-
line length 6447 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["batch_prediction_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'model': 'model_value', 'model_version_id': 'model_version_id_value', 'unmanaged_container_model': {'artifact_uri': 'artifact_uri_value', 'predict_schemata': {'instance_schema_uri': 'instance_schema_uri_value', 'para
-
line length 3610 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model_monitor"] = {'tabular_objective': {'feature_drift_spec': {'features': ['features_value1', 'features_value2'], 'categorical_metric_type': 'categorical_metric_type_value', 'numeric_metric_type': 'numeric_metric_type_value', 'default_categorical_alert_condition': {'threshold': 0.973}, 'default_nume
-
line length 3659 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model_monitoring_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'model_monitoring_spec': {'objective_spec': {'tabular_objective': {'feature_drift_spec': {'features': ['features_value1', 'features_value2'], 'categorical_metric_type': 'categorical_metric_type_value', 'numeric_metri
-
line length 3610 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model_monitor"] = {'tabular_objective': {'feature_drift_spec': {'features': ['features_value1', 'features_value2'], 'categorical_metric_type': 'categorical_metric_type_value', 'numeric_metric_type': 'numeric_metric_type_value', 'default_categorical_alert_condition': {'threshold': 0.973}, 'default_nume
-
line length 3659 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model_monitoring_job"] = {'name': 'name_value', 'display_name': 'display_name_value', 'model_monitoring_spec': {'objective_spec': {'tabular_objective': {'feature_drift_spec': {'features': ['features_value1', 'features_value2'], 'categorical_metric_type': 'categorical_metric_type_value', 'numeric_metri
-
line length 3958 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model"] = {'name': 'projects/sample1/locations/sample2/models/sample3', 'version_id': 'version_id_value', 'version_aliases': ['version_aliases_value1', 'version_aliases_value2'], 'version_create_time': {'seconds': 751, 'nanos': 543}, 'version_update_time': {}, 'display_name': 'display_name_value', 'de
-
line length 3958 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["model"] = {'name': 'projects/sample1/locations/sample2/models/sample3', 'version_id': 'version_id_value', 'version_aliases': ['version_aliases_value1', 'version_aliases_value2'], 'version_create_time': {'seconds': 751, 'nanos': 543}, 'version_update_time': {}, 'display_name': 'display_name_value', 'de
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 511 characters (raw pass, confidence 0.50)
online_evaluator=gca_online_evaluator.OnlineEvaluator(cloud_observability=gca_online_evaluator.OnlineEvaluator.CloudObservability(trace_scope=gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope(filter=[gca_online_evaluator.OnlineEvaluator.CloudObservability.TraceScope.Predicate(duration=gca_o
-
line length 4426 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["online_evaluator"] = {'cloud_observability': {'trace_scope': {'filter': [{'duration': {'comparison_operator': 1, 'value': 0.541}, 'total_token_usage': {}}]}, 'open_telemetry': {'semconv_version': 'semconv_version_value'}, 'log_view': 'log_view_value', 'trace_view': 'trace_view_value'}, 'name': 'name_v
-
line length 4475 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["online_evaluator"] = {'cloud_observability': {'trace_scope': {'filter': [{'duration': {'comparison_operator': 1, 'value': 0.541}, 'total_token_usage': {}}]}, 'open_telemetry': {'semconv_version': 'semconv_version_value'}, 'log_view': 'log_view_value', 'trace_view': 'trace_view_value'}, 'name': 'projec
-
line length 4426 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["online_evaluator"] = {'cloud_observability': {'trace_scope': {'filter': [{'duration': {'comparison_operator': 1, 'value': 0.541}, 'total_token_usage': {}}]}, 'open_telemetry': {'semconv_version': 'semconv_version_value'}, 'log_view': 'log_view_value', 'trace_view': 'trace_view_value'}, 'name': 'name_v
-
line length 4475 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["online_evaluator"] = {'cloud_observability': {'trace_scope': {'filter': [{'duration': {'comparison_operator': 1, 'value': 0.541}, 'total_token_usage': {}}]}, 'open_telemetry': {'semconv_version': 'semconv_version_value'}, 'log_view': 'log_view_value', 'trace_view': 'trace_view_value'}, 'name': 'projec
-
line length 5436 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["training_pipeline"] = {'name': 'name_value', 'display_name': 'display_name_value', 'input_data_config': {'fraction_split': {'training_fraction': 0.1809, 'validation_fraction': 0.2016, 'test_fraction': 0.13970000000000002}, 'filter_split': {'training_filter': 'training_filter_value', 'validation_filter
-
line length 5436 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["training_pipeline"] = {'name': 'name_value', 'display_name': 'display_name_value', 'input_data_config': {'fraction_split': {'training_fraction': 0.1809, 'validation_fraction': 0.2016, 'test_fraction': 0.13970000000000002}, 'filter_split': {'training_filter': 'training_filter_value', 'validation_filter
-
line length 3290 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["event"] = {'name': 'name_value', 'author': 'author_value', 'content': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime_type_value', 'data': b'data_blob'}, 'file_data': {'mime_type': 'mime_type_value', 'file_uri': 'file_uri_value'}, 'function_call': {'id': 'id_
-
line length 3290 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["event"] = {'name': 'name_value', 'author': 'author_value', 'content': {'role': 'role_value', 'parts': [{'text': 'text_value', 'inline_data': {'mime_type': 'mime_type_value', 'data': b'data_blob'}, 'file_data': {'mime_type': 'mime_type_value', 'file_uri': 'file_uri_value'}, 'function_call': {'id': 'id_
-
line length 2175 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["study"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_stop_config': {'max_num_steps': 1411, 'min_num_steps': 1409, 'autoregressive_orde
-
line length 685 characters (raw pass, confidence 0.50)
request_init["trial"] = {'name': 'name_value', 'id': 'id_value', 'state': 1, 'parameters': [{'parameter_id': 'parameter_id_value', 'value': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}}, 'list_value': {'values': {}}}}], 'final_meas
-
line length 2175 characters (mostly string/comment) (raw pass, confidence 0.39)
request_init["study"] = {'name': 'name_value', 'display_name': 'display_name_value', 'study_spec': {'decay_curve_stopping_spec': {'use_elapsed_duration': True}, 'median_automated_stopping_spec': {'use_elapsed_duration': True}, 'convex_stop_config': {'max_num_steps': 1411, 'min_num_steps': 1409, 'autoregressive_orde
-
line length 685 characters (raw pass, confidence 0.50)
request_init["trial"] = {'name': 'name_value', 'id': 'id_value', 'state': 1, 'parameters': [{'parameter_id': 'parameter_id_value', 'value': {'null_value': 0, 'number_value': 0.1285, 'string_value': 'string_value_value', 'bool_value': True, 'struct_value': {'fields': {}}, 'list_value': {'values': {}}}}], 'final_meas
-
compression ratio 0.715 is >2σ above file mean 0.315 (raw pass, confidence 0.50)
TEST_VERTEX_AI_SEARCH_ENGINE_SERVING_CONFIG = f"projects/{TEST_PROJECT_NUMBER}/locations/{TEST_REGION}/collections/test-collection/engines/test-engine/servingConfigs/test-serving-config"
-
compression ratio 0.713 is >2σ above file mean 0.315 (raw pass, confidence 0.50)
TEST_VERTEX_AI_SEARCH_DATASTORE_SERVING_CONFIG = f"projects/{TEST_PROJECT_NUMBER}/locations/{TEST_REGION}/collections/test-collection/dataStores/test-datastore/servingConfigs/test-serving-config"
TEST_GAPIC_RAG_CORPUS_VERTEX_AI_ENGINE_SEARCH_CONFIG = GapicRagCorpus(
name=TEST_RAG_CORPUS_RESOURCE_NAME,
-
compression ratio 0.705 is >2σ above file mean 0.315 (raw pass, confidence 0.50)
end_index=355,
text="The parking assist system detects obstacles using sensors and alerts the driver with an image on the infotainment touchscreen and a speaker alarm.",
),
grounding_chunk_indices=[3],
-
compression ratio 0.708 is >2σ above file mean 0.315 (raw pass, confidence 0.50)
end_index=680,
text='Alternatively, there is a reversing radar switch, often labeled with a "P" and radiating lines, on the center console that can be pressed to activate the parking radar.',
),
grounding_chunk_indices=[2],
-
reach-by-name through `globals` (ast pass, confidence 0.60)
prebuilt_metric_obj = getattr(module, name)
globals()[name] = prebuilt_metric_obj
return prebuilt_metric_obj
raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
likely benign
LLM, confidence 0.90
Module-level __getattr__ that lazily resolves and caches prebuilt metric attributes into globals().
Reasoning
Same lazy-loading module __getattr__ caching pattern as the agentplatform copy, resolving names from a fixed module.
-
compression ratio 0.834 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
default=None,
description="""Optional. Input only. The TTL (Time To Live) for the task. If not set, the task will expire in 24 hours by default. Valid range: (0 seconds, 1000 days]""",
)
-
compression ratio 0.834 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
ttl: Optional[str]
-
compression ratio 0.812 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
default=None,
description="""Optional. A field mask indicating which paths in the Struct were changed. If not set, all fields will be updated. go/aip-internal/cloud-standard/2412""",
)
-
compression ratio 0.812 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
update_mask: Optional[str]
-
compression ratio 0.838 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
default=None,
description="""Optional. Represents the type of the structured memories associated with the schema. If not set, then `STRUCTURED_PROFILE` will be used.""",
)
-
compression ratio 0.838 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
memory_type: Optional[MemoryType]
-
compression ratio 0.815 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
default=None,
description="""Output only. The state of the Skill at this revision. TODO(b/503772996) Use a different proto for skill data included in skill revision""",
)
state: Optional[SkillState] = Field(
-
compression ratio 0.815 is >2σ above file mean 0.682 (raw pass, confidence 0.50)
skill: Optional[SkillDict]
state: Optional[SkillState]
Run disclude locally to verify. Add --format sarif for SARIF output. Add --llm (with an API key in the environment) to include the LLM review.
disclude.io