## Common Use Cases

### E-commerce Search

```java
// Product search suggestions
SuggestItem product = new SuggestItem(
    new String[]{"iPhone 15 Pro", "Apple iPhone 15 Pro"},
    new String[][]{{"iphone"}, {"apple", "phone"}},
    1.5f,                               // boost popular products
    new String[]{"electronics", "mobile"},
    new String[]{"customer"},
    SuggestItem.Kind.DOCUMENT

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  float product[4] = {0};
  EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);
  TF_DeleteStatus(status);
}

runc

Copyright 2012-2015 Docker, Inc.

This product includes software developed at Docker, Inc. (http://www.docker.com).

The following is courtesy of our legal counsel:


Use and transfer of Docker may be subject to certain restrictions by the
United States and other governments.  
It is your responsibility to ensure that your use and/or transfer does not
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For more information, please see http://www.bis.doc.gov

in any such claim at its own expense.

For example, a Contributor might include the Program in a commercial product
offering, Product X. That Contributor is then a Commercial Contributor. If
that Commercial Contributor then makes performance claims, or offers warranties
related to Product X, those performance claims and warranties are such Commercial
Contributor's responsibility alone. Under this section, the Commercial Contributor

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  float product[4] = {0};
  EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);
  TF_DeleteStatus(status);
}

#     # This means that String includes GreaterThan at MEMBER.MEMBER_ACCOUNT only
#     # and LessThan at PRODUCT.PRODUCT_NAME and PRODUCT.PRODUCT_HANDLE_CODE,
#     # and InScope for LONGVARCHAR(e.g. text type) is excluded.
#     ; String = map:{
#         ; GreaterThan = map:{ MEMBER = list:{ MEMBER_ACCOUNT } }
#         ; LessThan = map:{ PRODUCT = list:{ PRODUCT_NAME ; PRODUCT_HANDLE_CODE } }
#         ; !InScope = map:{ $$ALL$$ = list:{ type:LONGVARCHAR } }

limitations under the License.
--------------------------------------------------------------------------------
https://github.com/elastic/elasticsearch

Elasticsearch
Copyright 2009-2015 Elasticsearch

This product includes software developed by The Apache Software
Foundation (https://www.apache.org/).
--------------------------------------------------------------------------------
https://github.com/lmenezes/elasticsearch-kopf

   * }
   * }
   *
   * <p>Note that if any input set is empty, the Cartesian product will also be empty. If no sets at
   * all are provided (an empty list), the resulting Cartesian product has one element, an empty
   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of sets of size {@code m, n, p} is a

This policy protects our limited review budget, allowing us to invest our attention wisely.

A pull request is not a finished product—it is the start of a conversation, and an implied contract: we promise to provide thoughtful feedback, and we expect the contributor to engage with us in return.

## What we expect from contributors

heart of the https://www.elastic.co/products[Elastic Stack]. You can use
Elasticsearch to store, search, and manage data for:

* Logs
* Metrics
* A search backend
* Application monitoring
* Endpoint security

\... and more!

To learn more about Elasticsearch's features and capabilities, see our
https://www.elastic.co/products/elasticsearch[product page].

[[get-started]]
== Get started