sb.append(comp);
      }
      dummy ^= sb.toString().length();
    }
    return dummy;
  }

  /**
   * Similar to the above, but keeps a boolean flag rather than checking for the string accumulated
   * so far being empty. As a result, it does not have the above-mentioned bug.
   */
  @Benchmark
  int booleanIfFirst(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {

--- /dt9/usr/include/x86_64-linux-gnu/sys/cdefs.h       2013-09-30 13:58:17.000000000 +0000
+++ /dt9/usr/include/x86_64-linux-gnu/sys/cdefs.new.h   2022-11-04 17:17:31.727061220 +0000
@@ -320,7 +320,7 @@

 /* GCC 4.3 and above with -std=c99 or -std=gnu99 implements ISO C99
    inline semantics, unless -fgnu89-inline is used.  */
-#if (!defined __cplusplus || __GNUC_PREREQ (4,3)) && defined __GNUC__

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright...

In all the docs there are examples compatible with each version of Python (when there's a difference).

For example "**Python 3.6+**" means it's compatible with Python 3.6 or above (including 3.7, 3.8, 3.9, 3.10, etc). And "**Python 3.9+**" means it's compatible with Python 3.9 or above (including 3.10, etc).

derivative of it, under Section 2) in object code or executable form
under the terms of Sections 1 and 2 above provided that you accompany
it with the complete corresponding machine-readable source code, which
must be distributed under the terms of Sections 1 and 2 above on a
medium customarily used for software interchange.

  If distribution of object code is made by offering access to copy

/// tip

For new code and whenever possible, use `Annotated` as explained above. There are multiple advantages (explained below) and no disadvantages. 🍰

///

This is how you would use `Query()` as the default value of your function parameter, setting the parameter `max_length` to 50:

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization

```

Read more about `docker service` [here](https://docs.docker.com/engine/swarm/how-swarm-mode-works/services/)

#### MinIO Custom Access and Secret Key files

To use other secret names follow the instructions above and replace `access_key` and `secret_key` with your custom names (e.g. `my_secret_key`,`my_custom_key`). Run your service with

```
docker service create --name="minio-service" \
  --secret="my_access_key" \

#               (affects 'source $TFCI')
set -exo pipefail -o history -o allexport

# Set TFCI_GIT_DIR, the root directory for all commands, to two directories
# above the location of this file (setup.sh). We could also use "git rev-parse
# --show-toplevel", but that wouldn't work for non-git repos (like if someone
# downloaded TF as a zip archive).

Takes some data and returns an `application/json` encoded response.

This is the default response used in **FastAPI**, as you read above.

### `ORJSONResponse` { #orjsonresponse }

A fast alternative JSON response using <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a>, as you read above.

/// info

This requires installing `orjson` for example with `pip install orjson`.

///