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74
75<h1><a href="notebooks_v1.html">Notebooks API</a> . <a href="notebooks_v1.projects.html">projects</a> . <a href="notebooks_v1.projects.locations.html">locations</a> . <a href="notebooks_v1.projects.locations.executions.html">executions</a></h1>
76<h2>Instance Methods</h2>
77<p class="toc_element">
78 <code><a href="#close">close()</a></code></p>
79<p class="firstline">Close httplib2 connections.</p>
80<p class="toc_element">
81 <code><a href="#create">create(parent, body=None, executionId=None, x__xgafv=None)</a></code></p>
82<p class="firstline">Creates a new Scheduled Notebook in a given project and location.</p>
83<p class="toc_element">
84 <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
85<p class="firstline">Deletes execution</p>
86<p class="toc_element">
87 <code><a href="#get">get(name, x__xgafv=None)</a></code></p>
88<p class="firstline">Gets details of executions</p>
89<p class="toc_element">
90 <code><a href="#list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
91<p class="firstline">Lists executions in a given project and location</p>
92<p class="toc_element">
93 <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
94<p class="firstline">Retrieves the next page of results.</p>
95<h3>Method Details</h3>
96<div class="method">
97 <code class="details" id="close">close()</code>
98 <pre>Close httplib2 connections.</pre>
99</div>
100
101<div class="method">
102 <code class="details" id="create">create(parent, body=None, executionId=None, x__xgafv=None)</code>
103 <pre>Creates a new Scheduled Notebook in a given project and location.
104
105Args:
106 parent: string, Required. Format: `parent=projects/{project_id}/locations/{location}` (required)
107 body: object, The request body.
108 The object takes the form of:
109
110{ # The definition of a single executed notebook.
111 &quot;createTime&quot;: &quot;A String&quot;, # Output only. Time the Execution was instantiated.
112 &quot;description&quot;: &quot;A String&quot;, # A brief description of this execution.
113 &quot;displayName&quot;: &quot;A String&quot;, # Output only. Name used for UI purposes. Name can only contain alphanumeric characters and underscores &#x27;_&#x27;.
114 &quot;executionTemplate&quot;: { # The description a notebook execution workload. # execute metadata including name, hardware spec, region, labels, etc.
115 &quot;acceleratorConfig&quot;: { # Definition of a hardware accelerator. Note that not all combinations of `type` and `core_count` are valid. Check GPUs on Compute Engine to find a valid combination. TPUs are not supported. # Configuration (count and accelerator type) for hardware running notebook execution.
116 &quot;coreCount&quot;: &quot;A String&quot;, # Count of cores of this accelerator.
117 &quot;type&quot;: &quot;A String&quot;, # Type of this accelerator.
118 },
119 &quot;containerImageUri&quot;: &quot;A String&quot;, # Container Image URI to a DLVM Example: &#x27;gcr.io/deeplearning-platform-release/base-cu100&#x27; More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
120 &quot;inputNotebookFile&quot;: &quot;A String&quot;, # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
121 &quot;labels&quot;: { # Labels for execution. If execution is scheduled, a field included will be &#x27;nbs-scheduled&#x27;. Otherwise, it is an immediate execution, and an included field will be &#x27;nbs-immediate&#x27;. Use fields to efficiently index between various types of executions.
122 &quot;a_key&quot;: &quot;A String&quot;,
123 },
124 &quot;masterType&quot;: &quot;A String&quot;, # Specifies the type of virtual machine to use for your training job&#x27;s master worker. You must specify this field when `scaleTier` is set to `CUSTOM`. You can use certain Compute Engine machine types directly in this field. The following types are supported: - `n1-standard-4` - `n1-standard-8` - `n1-standard-16` - `n1-standard-32` - `n1-standard-64` - `n1-standard-96` - `n1-highmem-2` - `n1-highmem-4` - `n1-highmem-8` - `n1-highmem-16` - `n1-highmem-32` - `n1-highmem-64` - `n1-highmem-96` - `n1-highcpu-16` - `n1-highcpu-32` - `n1-highcpu-64` - `n1-highcpu-96` Alternatively, you can use the following legacy machine types: - `standard` - `large_model` - `complex_model_s` - `complex_model_m` - `complex_model_l` - `standard_gpu` - `complex_model_m_gpu` - `complex_model_l_gpu` - `standard_p100` - `complex_model_m_p100` - `standard_v100` - `large_model_v100` - `complex_model_m_v100` - `complex_model_l_v100` Finally, if you want to use a TPU for training, specify `cloud_tpu` in this field. Learn more about the [special configuration options for training with TPU.
125 &quot;outputNotebookFolder&quot;: &quot;A String&quot;, # Path to the notebook folder to write to. Must be in a Google Cloud Storage bucket path. Format: gs://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks
126 &quot;parameters&quot;: &quot;A String&quot;, # Parameters used within the &#x27;input_notebook_file&#x27; notebook.
127 &quot;paramsYamlFile&quot;: &quot;A String&quot;, # Parameters to be overridden in the notebook during execution. Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on how to specifying parameters in the input notebook and pass them here in an YAML file. Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml
yoshi-code-bot07708072021-07-20 00:20:24 -0700128 &quot;scaleTier&quot;: &quot;A String&quot;, # Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported.
Anthonios Partheniou10f4b672021-04-13 14:47:53 -0400129 &quot;serviceAccount&quot;: &quot;A String&quot;, # The email address of a service account to use when running the execution. You must have the `iam.serviceAccounts.actAs` permission for the specified service account.
yoshi-code-botb6dc1b92021-03-02 11:49:08 -0800130 },
yoshi-code-bot07708072021-07-20 00:20:24 -0700131 &quot;jobUri&quot;: &quot;A String&quot;, # Output only. The URI of the external job used to execute the notebook.
yoshi-code-botb6dc1b92021-03-02 11:49:08 -0800132 &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the execute. Format: `projects/{project_id}/locations/{location}/execution/{execution_id}
133 &quot;outputNotebookFile&quot;: &quot;A String&quot;, # Output notebook file generated by this execution
134 &quot;state&quot;: &quot;A String&quot;, # Output only. State of the underlying AI Platform job.
135 &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Time the Execution was last updated.
136}
137
138 executionId: string, Required. User-defined unique ID of this execution.
139 x__xgafv: string, V1 error format.
140 Allowed values
141 1 - v1 error format
142 2 - v2 error format
143
144Returns:
145 An object of the form:
146
147 { # This resource represents a long-running operation that is the result of a network API call.
148 &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
149 &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
150 &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
151 &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
152 {
153 &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
154 },
155 ],
156 &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
157 },
158 &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
159 &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
160 },
161 &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
162 &quot;response&quot;: { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
163 &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
164 },
165}</pre>
166</div>
167
168<div class="method">
169 <code class="details" id="delete">delete(name, x__xgafv=None)</code>
170 <pre>Deletes execution
171
172Args:
173 name: string, Required. Format: `projects/{project_id}/locations/{location}/executions/{execution_id}` (required)
174 x__xgafv: string, V1 error format.
175 Allowed values
176 1 - v1 error format
177 2 - v2 error format
178
179Returns:
180 An object of the form:
181
182 { # This resource represents a long-running operation that is the result of a network API call.
183 &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
184 &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
185 &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
186 &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
187 {
188 &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
189 },
190 ],
191 &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
192 },
193 &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
194 &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
195 },
196 &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
197 &quot;response&quot;: { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
198 &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
199 },
200}</pre>
201</div>
202
203<div class="method">
204 <code class="details" id="get">get(name, x__xgafv=None)</code>
205 <pre>Gets details of executions
206
207Args:
208 name: string, Required. Format: `projects/{project_id}/locations/{location}/schedules/{execution_id}` (required)
209 x__xgafv: string, V1 error format.
210 Allowed values
211 1 - v1 error format
212 2 - v2 error format
213
214Returns:
215 An object of the form:
216
217 { # The definition of a single executed notebook.
218 &quot;createTime&quot;: &quot;A String&quot;, # Output only. Time the Execution was instantiated.
219 &quot;description&quot;: &quot;A String&quot;, # A brief description of this execution.
220 &quot;displayName&quot;: &quot;A String&quot;, # Output only. Name used for UI purposes. Name can only contain alphanumeric characters and underscores &#x27;_&#x27;.
221 &quot;executionTemplate&quot;: { # The description a notebook execution workload. # execute metadata including name, hardware spec, region, labels, etc.
222 &quot;acceleratorConfig&quot;: { # Definition of a hardware accelerator. Note that not all combinations of `type` and `core_count` are valid. Check GPUs on Compute Engine to find a valid combination. TPUs are not supported. # Configuration (count and accelerator type) for hardware running notebook execution.
223 &quot;coreCount&quot;: &quot;A String&quot;, # Count of cores of this accelerator.
224 &quot;type&quot;: &quot;A String&quot;, # Type of this accelerator.
225 },
226 &quot;containerImageUri&quot;: &quot;A String&quot;, # Container Image URI to a DLVM Example: &#x27;gcr.io/deeplearning-platform-release/base-cu100&#x27; More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
227 &quot;inputNotebookFile&quot;: &quot;A String&quot;, # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
228 &quot;labels&quot;: { # Labels for execution. If execution is scheduled, a field included will be &#x27;nbs-scheduled&#x27;. Otherwise, it is an immediate execution, and an included field will be &#x27;nbs-immediate&#x27;. Use fields to efficiently index between various types of executions.
229 &quot;a_key&quot;: &quot;A String&quot;,
230 },
231 &quot;masterType&quot;: &quot;A String&quot;, # Specifies the type of virtual machine to use for your training job&#x27;s master worker. You must specify this field when `scaleTier` is set to `CUSTOM`. You can use certain Compute Engine machine types directly in this field. The following types are supported: - `n1-standard-4` - `n1-standard-8` - `n1-standard-16` - `n1-standard-32` - `n1-standard-64` - `n1-standard-96` - `n1-highmem-2` - `n1-highmem-4` - `n1-highmem-8` - `n1-highmem-16` - `n1-highmem-32` - `n1-highmem-64` - `n1-highmem-96` - `n1-highcpu-16` - `n1-highcpu-32` - `n1-highcpu-64` - `n1-highcpu-96` Alternatively, you can use the following legacy machine types: - `standard` - `large_model` - `complex_model_s` - `complex_model_m` - `complex_model_l` - `standard_gpu` - `complex_model_m_gpu` - `complex_model_l_gpu` - `standard_p100` - `complex_model_m_p100` - `standard_v100` - `large_model_v100` - `complex_model_m_v100` - `complex_model_l_v100` Finally, if you want to use a TPU for training, specify `cloud_tpu` in this field. Learn more about the [special configuration options for training with TPU.
232 &quot;outputNotebookFolder&quot;: &quot;A String&quot;, # Path to the notebook folder to write to. Must be in a Google Cloud Storage bucket path. Format: gs://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks
233 &quot;parameters&quot;: &quot;A String&quot;, # Parameters used within the &#x27;input_notebook_file&#x27; notebook.
234 &quot;paramsYamlFile&quot;: &quot;A String&quot;, # Parameters to be overridden in the notebook during execution. Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on how to specifying parameters in the input notebook and pass them here in an YAML file. Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml
yoshi-code-bot07708072021-07-20 00:20:24 -0700235 &quot;scaleTier&quot;: &quot;A String&quot;, # Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported.
Anthonios Partheniou10f4b672021-04-13 14:47:53 -0400236 &quot;serviceAccount&quot;: &quot;A String&quot;, # The email address of a service account to use when running the execution. You must have the `iam.serviceAccounts.actAs` permission for the specified service account.
yoshi-code-botb6dc1b92021-03-02 11:49:08 -0800237 },
yoshi-code-bot07708072021-07-20 00:20:24 -0700238 &quot;jobUri&quot;: &quot;A String&quot;, # Output only. The URI of the external job used to execute the notebook.
yoshi-code-botb6dc1b92021-03-02 11:49:08 -0800239 &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the execute. Format: `projects/{project_id}/locations/{location}/execution/{execution_id}
240 &quot;outputNotebookFile&quot;: &quot;A String&quot;, # Output notebook file generated by this execution
241 &quot;state&quot;: &quot;A String&quot;, # Output only. State of the underlying AI Platform job.
242 &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Time the Execution was last updated.
243}</pre>
244</div>
245
246<div class="method">
247 <code class="details" id="list">list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
248 <pre>Lists executions in a given project and location
249
250Args:
251 parent: string, Required. Format: `parent=projects/{project_id}/locations/{location}` (required)
yoshi-code-bot9e2cde22021-04-29 03:48:05 -0700252 filter: string, Filter applied to resulting executions. Currently only supports filtering executions by a specified schedule_id. Format: &quot;schedule_id=&quot;
yoshi-code-botb6dc1b92021-03-02 11:49:08 -0800253 orderBy: string, Sort by field.
254 pageSize: integer, Maximum return size of the list call.
255 pageToken: string, A previous returned page token that can be used to continue listing from the last result.
256 x__xgafv: string, V1 error format.
257 Allowed values
258 1 - v1 error format
259 2 - v2 error format
260
261Returns:
262 An object of the form:
263
264 { # Response for listing scheduled notebook executions
265 &quot;executions&quot;: [ # A list of returned instances.
266 { # The definition of a single executed notebook.
267 &quot;createTime&quot;: &quot;A String&quot;, # Output only. Time the Execution was instantiated.
268 &quot;description&quot;: &quot;A String&quot;, # A brief description of this execution.
269 &quot;displayName&quot;: &quot;A String&quot;, # Output only. Name used for UI purposes. Name can only contain alphanumeric characters and underscores &#x27;_&#x27;.
270 &quot;executionTemplate&quot;: { # The description a notebook execution workload. # execute metadata including name, hardware spec, region, labels, etc.
271 &quot;acceleratorConfig&quot;: { # Definition of a hardware accelerator. Note that not all combinations of `type` and `core_count` are valid. Check GPUs on Compute Engine to find a valid combination. TPUs are not supported. # Configuration (count and accelerator type) for hardware running notebook execution.
272 &quot;coreCount&quot;: &quot;A String&quot;, # Count of cores of this accelerator.
273 &quot;type&quot;: &quot;A String&quot;, # Type of this accelerator.
274 },
275 &quot;containerImageUri&quot;: &quot;A String&quot;, # Container Image URI to a DLVM Example: &#x27;gcr.io/deeplearning-platform-release/base-cu100&#x27; More examples can be found at: https://cloud.google.com/ai-platform/deep-learning-containers/docs/choosing-container
276 &quot;inputNotebookFile&quot;: &quot;A String&quot;, # Path to the notebook file to execute. Must be in a Google Cloud Storage bucket. Format: gs://{project_id}/{folder}/{notebook_file_name} Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook.ipynb
277 &quot;labels&quot;: { # Labels for execution. If execution is scheduled, a field included will be &#x27;nbs-scheduled&#x27;. Otherwise, it is an immediate execution, and an included field will be &#x27;nbs-immediate&#x27;. Use fields to efficiently index between various types of executions.
278 &quot;a_key&quot;: &quot;A String&quot;,
279 },
280 &quot;masterType&quot;: &quot;A String&quot;, # Specifies the type of virtual machine to use for your training job&#x27;s master worker. You must specify this field when `scaleTier` is set to `CUSTOM`. You can use certain Compute Engine machine types directly in this field. The following types are supported: - `n1-standard-4` - `n1-standard-8` - `n1-standard-16` - `n1-standard-32` - `n1-standard-64` - `n1-standard-96` - `n1-highmem-2` - `n1-highmem-4` - `n1-highmem-8` - `n1-highmem-16` - `n1-highmem-32` - `n1-highmem-64` - `n1-highmem-96` - `n1-highcpu-16` - `n1-highcpu-32` - `n1-highcpu-64` - `n1-highcpu-96` Alternatively, you can use the following legacy machine types: - `standard` - `large_model` - `complex_model_s` - `complex_model_m` - `complex_model_l` - `standard_gpu` - `complex_model_m_gpu` - `complex_model_l_gpu` - `standard_p100` - `complex_model_m_p100` - `standard_v100` - `large_model_v100` - `complex_model_m_v100` - `complex_model_l_v100` Finally, if you want to use a TPU for training, specify `cloud_tpu` in this field. Learn more about the [special configuration options for training with TPU.
281 &quot;outputNotebookFolder&quot;: &quot;A String&quot;, # Path to the notebook folder to write to. Must be in a Google Cloud Storage bucket path. Format: gs://{project_id}/{folder} Ex: gs://notebook_user/scheduled_notebooks
282 &quot;parameters&quot;: &quot;A String&quot;, # Parameters used within the &#x27;input_notebook_file&#x27; notebook.
283 &quot;paramsYamlFile&quot;: &quot;A String&quot;, # Parameters to be overridden in the notebook during execution. Ref https://papermill.readthedocs.io/en/latest/usage-parameterize.html on how to specifying parameters in the input notebook and pass them here in an YAML file. Ex: gs://notebook_user/scheduled_notebooks/sentiment_notebook_params.yaml
yoshi-code-bot07708072021-07-20 00:20:24 -0700284 &quot;scaleTier&quot;: &quot;A String&quot;, # Required. Scale tier of the hardware used for notebook execution. DEPRECATED Will be discontinued. As right now only CUSTOM is supported.
Anthonios Partheniou10f4b672021-04-13 14:47:53 -0400285 &quot;serviceAccount&quot;: &quot;A String&quot;, # The email address of a service account to use when running the execution. You must have the `iam.serviceAccounts.actAs` permission for the specified service account.
yoshi-code-botb6dc1b92021-03-02 11:49:08 -0800286 },
yoshi-code-bot07708072021-07-20 00:20:24 -0700287 &quot;jobUri&quot;: &quot;A String&quot;, # Output only. The URI of the external job used to execute the notebook.
yoshi-code-botb6dc1b92021-03-02 11:49:08 -0800288 &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the execute. Format: `projects/{project_id}/locations/{location}/execution/{execution_id}
289 &quot;outputNotebookFile&quot;: &quot;A String&quot;, # Output notebook file generated by this execution
290 &quot;state&quot;: &quot;A String&quot;, # Output only. State of the underlying AI Platform job.
291 &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Time the Execution was last updated.
292 },
293 ],
294 &quot;nextPageToken&quot;: &quot;A String&quot;, # Page token that can be used to continue listing from the last result in the next list call.
295 &quot;unreachable&quot;: [ # Executions IDs that could not be reached. For example, [&#x27;projects/{project_id}/location/{location}/executions/imagenet_test1&#x27;, &#x27;projects/{project_id}/location/{location}/executions/classifier_train1&#x27;].
296 &quot;A String&quot;,
297 ],
298}</pre>
299</div>
300
301<div class="method">
302 <code class="details" id="list_next">list_next(previous_request, previous_response)</code>
303 <pre>Retrieves the next page of results.
304
305Args:
306 previous_request: The request for the previous page. (required)
307 previous_response: The response from the request for the previous page. (required)
308
309Returns:
310 A request object that you can call &#x27;execute()&#x27; on to request the next
311 page. Returns None if there are no more items in the collection.
312 </pre>
313</div>
314
315</body></html>