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Commit 3c536f4

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Jon Wayne Parrott
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Re-generate all readmes
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‎bigquery/api/README.rst

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‎bigquery/cloud-client/README.rst

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‎bigquery/dml/README.rst

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‎bigquery/rest/README.rst

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‎bigtable/hello/README.rst

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‎bigtable/hello_happybase/README.rst

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‎datastore/cloud-client/README.rst

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‎dns/api/README.rst

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‎error_reporting/README.rst

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‎kms/api-client/README.rst

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‎language/api/README.rst

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‎language/cloud-client/v1/README.rst

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‎language/cloud-client/v1beta2/README.rst

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‎language/tutorial/README.rst

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.. This file is automatically generated. Do not edit this file directly.
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Google Cloud Natural Language Tutorial Python Samples
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===============================================================================
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This directory contains samples for Google Cloud Natural Language Tutorial. The `Google Cloud Natural Language API`_ provides natural language understanding technologies to developers, including sentiment analysis, entity recognition, and syntax analysis. This API is part of the larger Cloud Machine Learning API.
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.. _Google Cloud Natural Language Tutorial: https://cloud.google.com/natural-language/docs/
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Setup
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-------------------------------------------------------------------------------
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Authentication
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++++++++++++++
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Authentication is typically done through `Application Default Credentials`_,
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which means you do not have to change the code to authenticate as long as
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your environment has credentials. You have a few options for setting up
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authentication:
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#. When running locally, use the `Google Cloud SDK`_
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.. code-block:: bash
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gcloud auth application-default login
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#. When running on App Engine or Compute Engine, credentials are already
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set-up. However, you may need to configure your Compute Engine instance
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with `additional scopes`_.
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#. You can create a `Service Account key file`_. This file can be used to
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authenticate to Google Cloud Platform services from any environment. To use
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the file, set the ``GOOGLE_APPLICATION_CREDENTIALS`` environment variable to
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the path to the key file, for example:
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.. code-block:: bash
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export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account.json
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.. _Application Default Credentials: https://cloud.google.com/docs/authentication#getting_credentials_for_server-centric_flow
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.. _additional scopes: https://cloud.google.com/compute/docs/authentication#using
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.. _Service Account key file: https://developers.google.com/identity/protocols/OAuth2ServiceAccount#creatinganaccount
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Install Dependencies
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++++++++++++++++++++
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#. Install `pip`_ and `virtualenv`_ if you do not already have them.
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#. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
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.. code-block:: bash
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$ virtualenv env
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$ source env/bin/activate
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#. Install the dependencies needed to run the samples.
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.. code-block:: bash
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$ pip install -r requirements.txt
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.. _pip: https://pip.pypa.io/
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.. _virtualenv: https://virtualenv.pypa.io/
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Samples
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-------------------------------------------------------------------------------
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Language tutorial
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+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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To run this sample:
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.. code-block:: bash
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$ python tutorial.py
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usage: tutorial.py [-h] movie_review_filename
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positional arguments:
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movie_review_filename
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The filename of the movie review you'd like to
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analyze.
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optional arguments:
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-h, --help show this help message and exit
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.. _Google Cloud SDK: https://cloud.google.com/sdk/

‎logging/api-client/README.rst

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‎logging/cloud-client/README.rst

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‎monitoring/api/v2/README.rst

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‎monitoring/api/v3/api-client/README.rst

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‎monitoring/api/v3/cloud-client/README.rst

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#. When running on App Engine or Compute Engine, credentials are already
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$ python snippets.py
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usage: snippets.py [-h] [--project_id PROJECT_ID]
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{create-metric-descriptor,list-metric-descriptors,delete-metric-descriptor,list-resources,get-resource,write-time-series,list-time-series,list-time-series-header,list-time-series-reduce,list-time-series-aggregate}
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usage: snippets.py [-h]
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{create-metric-descriptor,list-metric-descriptors,get-metric-descriptor,delete-metric-descriptor,list-resources,get-resource,write-time-series,list-time-series,list-time-series-header,list-time-series-reduce,list-time-series-aggregate}
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...
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Demonstrates Monitoring API operations.
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positional arguments:
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{create-metric-descriptor,list-metric-descriptors,delete-metric-descriptor,list-resources,get-resource,write-time-series,list-time-series,list-time-series-header,list-time-series-reduce,list-time-series-aggregate}
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{create-metric-descriptor,list-metric-descriptors,get-metric-descriptor,delete-metric-descriptor,list-resources,get-resource,write-time-series,list-time-series,list-time-series-header,list-time-series-reduce,list-time-series-aggregate}
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create-metric-descriptor
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list-metric-descriptors
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get-metric-descriptor
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delete-metric-descriptor
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list-resources
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get-resource
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optional arguments:
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-h, --help show this help message and exit
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--project_id PROJECT_ID
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Your cloud project ID.
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‎pubsub/cloud-client/README.rst

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‎spanner/cloud-client/README.rst

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$ python snippets.py
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usage: snippets.py [-h] [--database-name DATABASE_NAME]
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instance_name
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{insert_data,query_data,read_data,update_data,read_write_transaction,query_data_with_index,read_data_with_index,read_data_with_storing_index}
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usage: snippets.py [-h] [--database-id DATABASE_ID]
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instance_id
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{create_database,insert_data,query_data,read_data,add_column,update_data,query_data_with_new_column,read_write_transaction,read_only_transaction,add_index,query_data_with_index,read_data_with_index,add_storing_index,read_data_with_storing_index}
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...
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This application demonstrates how to do basic operations using Cloud
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For more information, see the README.rst under /spanner.
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positional arguments:
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instance_name Your Cloud Spanner instance name.
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{insert_data,query_data,read_data,update_data,read_write_transaction,query_data_with_index,read_data_with_index,read_data_with_storing_index}
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instance_id Your Cloud Spanner instance ID.
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{create_database,insert_data,query_data,read_data,add_column,update_data,query_data_with_new_column,read_write_transaction,read_only_transaction,add_index,query_data_with_index,read_data_with_index,add_storing_index,read_data_with_storing_index}
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create_database Creates a database and tables for sample data.
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insert_data Inserts sample data into the given database. The
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database and table must already exist and can be
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created using `create_database`.
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query_data Queries sample data from the database using SQL.
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read_data Reads sample data from the database.
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add_column Adds a new column to the Albums table in the example
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database.
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update_data Updates sample data in the database. This updates the
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`MarketingBudget` column which must be created before
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running this sample. Run the following query on your
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database to create the column: ALTER TABLE Albums ADD
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COLUMN MarketingBudget INT64
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running this sample. You can add the column by running
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the `add_column` sample or by running this DDL
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statement against your database: ALTER TABLE Albums
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ADD COLUMN MarketingBudget INT64
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query_data_with_new_column
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Queries sample data from the database using SQL. This
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sample uses the `MarketingBudget` column. You can add
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the column by running the `add_column` sample or by
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running this DDL statement against your database:
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ALTER TABLE Albums ADD COLUMN MarketingBudget INT64
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read_write_transaction
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Performs a read-write transaction to update two sample
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records in the database. This will transfer 200,000
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from the `MarketingBudget` field for the first Album
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to the second Album. If the `MarketingBudget` is too
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from the `MarketingBudget` field for the second Album
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to the first Album. If the `MarketingBudget` is too
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low, it will raise an exception. Before running this
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sample, you will need to run the `update_data` sample
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to populate the fields.
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read_only_transaction
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Reads data inside of a read-only transaction. Within
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the read-only transaction, or "snapshot", the
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application sees consistent view of the database at a
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particular timestamp.
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add_index Adds a simple index to the example database.
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query_data_with_index
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Inserts sample data into the given database. The
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database and table must already exist and can be
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Inserts sample data into the given database. The
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created using `create_database`.
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add_storing_index Adds an storing index to the example database.
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read_data_with_storing_index
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Inserts sample data into the given database. The
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database and table must already exist and can be
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created using `create_database`.
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optional arguments:
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-h, --help show this help message and exit
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--database-name DATABASE_NAME
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Your Cloud Spanner database name.
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--database-id DATABASE_ID
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Your Cloud Spanner database ID.
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