is a brief explanation of how they tie together:

1.  `envs/*` are lists of variables made with bash syntax. A user must set a
    `TFCI` env param pointing to a list of `env` files.
2.  `utilities/setup.sh`, initialized by all top-level scripts, reads and sets
    values from those `TFCI` paths.
    -   `set -a` / `set -o allexport` exports the variables from `env` files so
        all scripts can use them.

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

```Python
{
    'username': 'john',

	err = obj.MakeBucket(b.Context(), bucket, MakeBucketOptions{})
	if err != nil {
		b.Fatal(err)
	}

	objSize := 128 * humanize.MiByte

	// PutObjectPart returns etag of the object inserted.
	// etag variable is assigned with that value.
	var etag string
	// get text data generated for number of bytes equal to object size.
	textData := generateBytesData(objSize)
	// generate md5sum for the generated data.

👆 ✍ 🐩 🐍 ⏮️ 🆎:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

    /** System property key for Fess temporary directory path */
    private static final String FESS_TEMP_PATH = "fess.temp.path";

    /** System property key for Fess variable directory path */
    private static final String FESS_VAR_PATH = "fess.var.path";

    /** System property key for Fess web application path */
    private static final String FESS_WEBAPP_PATH = "fess.webapp.path";

        // buildOrThrow(). We would want an exception to include two values for the duplicate key.
        if (entries == entryArray) {
          // Temporary variable is necessary to defeat bad smartcast (entries adopting the type of
          // entryArray) in the Kotlin translation.
          Entry<K, V>[] originalEntries = entries;
          entries = originalEntries.clone();
        }

Vous écrivez du python standard avec des annotations de types:

```Python
from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str

///

Die Variable `oauth2_scheme` ist eine Instanz von `OAuth2PasswordBearer`, aber auch ein „Callable“.

Es könnte wie folgt aufgerufen werden:

```Python
oauth2_scheme(some, parameters)
```

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und wir rufen seine `.dict()`-Methode auf:

```Python
user_dict = user_in.dict()
```

dann haben wir jetzt in der Variable `user_dict` ein `dict` mit den gleichen Daten (es ist ein `dict` statt eines Pydantic-Modellobjekts).

Wenn wir es ausgeben:

```Python
print(user_dict)
```

bekommen wir ein Python-`dict`:

```Python

if [ ! -x "$JAVACMD" ]; then
  echo "Error: JAVA_HOME is not defined correctly." >&2
  echo "  We cannot execute $JAVACMD" >&2
  exit 1
fi

if [ -z "$JAVA_HOME" ]; then
  echo "Warning: JAVA_HOME environment variable is not set." >&2
fi

# traverses directory structure from process work directory to filesystem root
# first directory with .mvn subdirectory is considered project base directory
find_maven_basedir() {