// looks like a where condition
				return []clause.Expression{clause.Expr{SQL: s, Vars: args}}
			}

			if len(args) > 0 && strings.Contains(s, "@") {
				// looks like a named query
				return []clause.Expression{clause.NamedExpr{SQL: s, Vars: args}}
			}

			if strings.Contains(strings.TrimSpace(s), " ") {
				// looks like a where condition

# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
default_language_version:
    python: python3.10
repos:
-   repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v6.0.0
    hooks:
    -   id: check-added-large-files
    -   id: check-toml
    -   id: check-yaml
        args:
        -   --unsafe
    -   id: end-of-file-fixer
    -   id: trailing-whitespace

	if field, ok := schema.FieldsByDBName[name]; ok {
		return field
	}
	if field, ok := schema.FieldsByName[name]; ok {
		return field
	}
	return nil
}

// LookUpFieldByBindName looks for the closest field in the embedded struct.
//
//	type Struct struct {
//		Embedded struct {
//			ID string // is selected by LookUpFieldByBindName([]string{"Embedded", "ID"}, "ID")
//		}

* `C:\Program Files\Python312`
* `C:\Windows\System32`

////

When you type a **command** in the terminal, the operating system **looks for** the program in **each of those directories** listed in the `PATH` environment variable.

For example, when you type `python` in the terminal, the operating system looks for a program called `python` in the **first directory** in that list.

    - 💾 [PostgreSQL](https://www.postgresql.org) as the SQL database.
- 🚀 [React](https://react.dev) for the frontend.
    - 💃 Using TypeScript, hooks, [Vite](https://vitejs.dev), and other parts of a modern frontend stack.
    - 🎨 [Chakra UI](https://chakra-ui.com) for the frontend components.
    - 🤖 An automatically generated frontend client.

But let's save you the time of reading the full long specification just to find those little pieces of information you need.

Let's use the tools provided by **FastAPI** to handle security.

## How it looks { #how-it-looks }

Let's first just use the code and see how it works, and then we'll come back to understand what's happening.

## Create `main.py` { #create-main-py }

Copy the example in a file `main.py`:

# will be created.

name: Release Branch Cherrypick
on:
  workflow_dispatch:
    inputs:
      # We use this instead of the "run on branch" argument because GitHub looks
      # on that branch for a workflow.yml file, and we'd have to cherry-pick
      # this file into those branches.
      release_branch:
        description: 'Release branch name (e.g. r2.9)'
        required: true

We are going to start from where we left in the previous chapter and increment it.

## About JWT { #about-jwt }

JWT means "JSON Web Tokens".

It's a standard to codify a JSON object in a long dense string without spaces. It looks like this:

```
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c
```

     */
    @Override
    public boolean verifySignature(final byte[] buffer, final int i, final int size) {
        // observed too that signatures on error responses are sometimes wrong??
        // Looks like the failure case also is just reflecting back the signature we sent

        // with SMB3's negotiation validation it's no longer possible to ignore this (on the validation response)

If the passwords don't match, we return the same error.

#### Password hashing { #password-hashing }

"Hashing" means: converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

Whenever you pass exactly the same content (exactly the same password) you get exactly the same gibberish.

But you cannot convert from the gibberish back to the password.