# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

 * As such, the {@code *} character is treated as a wildcard and is used to represent any acceptable
 * type or subtype value. A media type may not have wildcard type with a declared subtype. The
 * {@code *} character has no special meaning as part of a parameter. All values for type, subtype,
 * parameter attributes or parameter values must be valid according to RFCs <a
 * href="https://tools.ietf.org/html/rfc2045">2045</a> and <a

            this.andx = andx;
            andxCommand = andx.command;
        }
    }

    int getBatchLimit(final byte command) {
        /* the default limit is 0 batched messages before this
         * one, meaning this message cannot be batched.
         */
        return 0;
    }

    /*
     * We overload this method from ServerMessageBlock because
     * we want writeAndXWireFormat to write the parameterWords

     * both internally supplied passwords are equal. If one {@code NtlmPasswordAuthentication} object has external
     * hashes (meaning negotiated via NTLM HTTP Authentication) and the other does not they will not be equal. This is
     * technically not correct however the server 8 byte challenge would be required to compute and compare the password

In Python 3.10 there's also a **new syntax** where you can put the possible types separated by a <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr>.

//// tab | Python 3.10+

```Python hl_lines="1"
{!> ../../docs_src/python_types/tutorial008b_py310.py!}
```

////

//// tab | Python 3.8+

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"

Lets start the lambda handler.

```
python lambda_handler.py
 * Serving Flask app 'webhook'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
```

* `@app.options()`
* `@app.head()`
* `@app.patch()`
* `@app.trace()`

/// tip

You are free to use each operation (HTTP method) as you wish.

**FastAPI** doesn't enforce any specific meaning.

The information here is presented as a guideline, not a requirement.

For example, when using GraphQL you normally perform all the actions using only `POST` operations.

///

 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│  Serving at: http://127.0.0.1:8000                  │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>

ls build_output
```

## Contribution & Maintenance

The TensorFlow team does not yet have guidelines in place for contributing to
this directory. We are working on it. Please join a TF SIG Build meeting (see:
bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions.

### Brief System Overview

The top-level scripts and utility scripts should be fairly well-documented. Here