old_contents: # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     https://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # [START job_search_commute_search]
  
  from google.cloud import talent
  import six
  
  
  def search_jobs(project_id, tenant_id):
      """Search Jobs using commute distance"""
  
      client = talent.JobServiceClient()
  
      # project_id = 'Your Google Cloud Project ID'
      # tenant_id = 'Your Tenant ID (using tenancy is optional)'
  
      if isinstance(project_id, six.binary_type):
          project_id = project_id.decode("utf-8")
      if isinstance(tenant_id, six.binary_type):
          tenant_id = tenant_id.decode("utf-8")
      parent = f"projects/{project_id}/tenants/{tenant_id}/"
      domain = "www.example.com"
      session_id = "Hashed session identifier"
      user_id = "Hashed user identifier"
      request_metadata = talent.RequestMetadata(
          domain=domain,
          session_id=session_id,
          user_id=user_id
      )
      commute_method = talent.CommuteMethod.TRANSIT
      seconds = 1800
      travel_duration = {"seconds": seconds}
      latitude = 37.422408
      longitude = -122.084068
      start_coordinates = {"latitude": latitude, "longitude": longitude}
      commute_filter = talent.CommuteFilter(
          commute_method=commute_method,
          travel_duration=travel_duration,
          start_coordinates=start_coordinates,
      )
      job_query = talent.JobQuery(commute_filter=commute_filter)
  
      # Iterate over all results
      results = []
      request = talent.SearchJobsRequest(
          parent=parent,
          request_metadata=request_metadata,
          job_query=job_query,
      )
      for response_item in client.search_jobs(request=request):
          print(f"Job summary: {response_item.job_summary}")
          print(f"Job title snippet: {response_item.job_title_snippet}")
          job = response_item.job
          results.append(job.name)
          print(f"Job name: {job.name}")
          print(f"Job title: {job.title}")
      return results
  
  
  # [END job_search_commute_search]
  
new_contents: # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     https://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # [START job_search_commute_search]
  
  from google.cloud import talent
  import six
  
  
  def search_jobs(project_id, tenant_id):
      """Search Jobs using commute distance"""
  
      client = talent.JobServiceClient()
  
      # project_id = 'Your Google Cloud Project ID'
      # tenant_id = 'Your Tenant ID (using tenancy is optional)'
  
      if isinstance(project_id, six.binary_type):
          project_id = project_id.decode("utf-8")
      if isinstance(tenant_id, six.binary_type):
          tenant_id = tenant_id.decode("utf-8")
      parent = f"projects/{project_id}/tenants/{tenant_id}"
      domain = "www.example.com"
      session_id = "Hashed session identifier"
      user_id = "Hashed user identifier"
      request_metadata = talent.RequestMetadata(
          domain=domain,
          session_id=session_id,
          user_id=user_id
      )
      commute_method = talent.CommuteMethod.TRANSIT
      seconds = 1800
      travel_duration = {"seconds": seconds}
      latitude = 37.422408
      longitude = -122.084068
      start_coordinates = {"latitude": latitude, "longitude": longitude}
      commute_filter = talent.CommuteFilter(
          commute_method=commute_method,
          travel_duration=travel_duration,
          start_coordinates=start_coordinates,
      )
      job_query = talent.JobQuery(commute_filter=commute_filter)
  
      # Iterate over all results
      results = []
      request = talent.SearchJobsRequest(
          parent=parent,
          request_metadata=request_metadata,
          job_query=job_query,
      )
      for response_item in client.search_jobs(request=request):
          print(f"Job summary: {response_item.job_summary}")
          print(f"Job title snippet: {response_item.job_title_snippet}")
          job = response_item.job
          results.append(job.name)
          print(f"Job name: {job.name}")
          print(f"Job title: {job.title}")
      return results
  
  
  # [END job_search_commute_search]
  
subject: fix parent path