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Correct typos in datalabeling samples. #2642

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Merged
merged 1 commit into from
Dec 21, 2019
Merged

Correct typos in datalabeling samples. #2642

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1 change: 1 addition & 0 deletions datalabeling/export_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,7 @@ def export_data(dataset_resource_name, annotated_dataset_resource_name,
# this snippet from triggering any action by a real human
if 'DATALABELING_ENDPOINT' in os.environ:
opts = ClientOptions(api_endpoint=os.getenv('DATALABELING_ENDPOINT'))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_export_data_beta]

gcs_destination = datalabeling.types.GcsDestination(
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1 change: 1 addition & 0 deletions datalabeling/import_data.py
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Expand Up @@ -29,6 +29,7 @@ def import_data(dataset_resource_name, data_type, input_gcs_uri):
# this snippet from triggering any action by a real human
if 'DATALABELING_ENDPOINT' in os.environ:
opts = ClientOptions(api_endpoint=os.getenv('DATALABELING_ENDPOINT'))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_import_data_beta]

gcs_source = datalabeling.types.GcsSource(
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1 change: 1 addition & 0 deletions datalabeling/label_image.py
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Expand Up @@ -30,6 +30,7 @@ def label_image(dataset_resource_name, instruction_resource_name,
# this snippet from triggering any action by a real human
if 'DATALABELING_ENDPOINT' in os.environ:
opts = ClientOptions(api_endpoint=os.getenv('DATALABELING_ENDPOINT'))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_label_image_beta]

basic_config = datalabeling.types.HumanAnnotationConfig(
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6 changes: 4 additions & 2 deletions datalabeling/label_text.py
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Expand Up @@ -18,18 +18,20 @@
import os
from google.api_core.client_options import ClientOptions


# [START datalabeling_label_text_beta]
def label_text(dataset_resource_name, instruction_resource_name,
annotation_spec_set_resource_name):
"""Labels a text dataset."""
from google.cloud import datalabeling_v1beta1 as datalabeling
client = datalabeling.DataLabelingServiceClient()
# [END datalabeling_export_data_beta]
# [END datalabeling_label_text_beta]
# If provided, use a provided test endpoint - this will prevent tests on
# this snippet from triggering any action by a real human
if 'DATALABELING_ENDPOINT' in os.environ:
opts = ClientOptions(api_endpoint=os.getenv('DATALABELING_ENDPOINT'))
# [START datalabeling_export_data_beta]
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_label_text_beta]

basic_config = datalabeling.types.HumanAnnotationConfig(
instruction=instruction_resource_name,
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6 changes: 4 additions & 2 deletions datalabeling/label_video.py
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Expand Up @@ -18,18 +18,20 @@
import os
from google.api_core.client_options import ClientOptions


# [START datalabeling_label_video_beta]
def label_video(dataset_resource_name, instruction_resource_name,
annotation_spec_set_resource_name):
"""Labels a video dataset."""
from google.cloud import datalabeling_v1beta1 as datalabeling
client = datalabeling.DataLabelingServiceClient()
# [END datalabeling_export_data_beta]
# [END datalabeling_label_video_beta]
# If provided, use a provided test endpoint - this will prevent tests on
# this snippet from triggering any action by a real human
if 'DATALABELING_ENDPOINT' in os.environ:
opts = ClientOptions(api_endpoint=os.getenv('DATALABELING_ENDPOINT'))
# [START datalabeling_export_data_beta]
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_label_video_beta]

basic_config = datalabeling.types.HumanAnnotationConfig(
instruction=instruction_resource_name,
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1 change: 1 addition & 0 deletions datalabeling/manage_dataset.py
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Expand Up @@ -29,6 +29,7 @@ def create_dataset(project_id):
# this snippet from triggering any action by a real human
if 'DATALABELING_ENDPOINT' in os.environ:
opts = ClientOptions(api_endpoint=os.getenv('DATALABELING_ENDPOINT'))
client = datalabeling.DataLabelingServiceClient(client_options=opts)
# [START datalabeling_create_dataset_beta]

formatted_project_name = client.project_path(project_id)
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