Custom Gradle distributions are a practical solution to this very problem.
A custom Gradle distribution is comprised of the standard Gradle distribution plus one or many custom initialization scripts.
The initialization scripts come bundled with the distribution and are applied every time the build is run.

<div class="termy">

```console
$ python -m pip install --upgrade pip

---> 100%
```

</div>

!!! tip
    Every time you install a new package with `pip` under that environment, activate the environment again.

* Be very, very careful.
* The cache has a builtin test, enabled with `UNSAFE_PILOT_ENABLE_RUNTIME_ASSERTIONS=true`, that runs in CI. This will panic if any key is written to with a different value.

#### Partial Computations

}

// interlacing represents the set of scans in an interlaced GIF image.
var interlacing = []interlaceScan{
	{8, 0}, // Group 1 : Every 8th. row, starting with row 0.
	{8, 4}, // Group 2 : Every 8th. row, starting with row 4.
	{4, 2}, // Group 3 : Every 4th. row, starting with row 2.
	{2, 1}, // Group 4 : Every 2nd. row, starting with row 1.
}

// uninterlace rearranges the pixels in m to account for interlaced input.

Reading a file from disk is normally a costly (slow) operation, so you probably want to do it only once and then reuse the same settings object, instead of reading it for each request.

But every time we do:

```Python
Settings()
```

a new `Settings` object would be created, and at creation it would read the `.env` file again.

If the dependency function was just like:

```Python

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

	// based on the dynamic cert state.
	baseTLSConfig *tls.Config

	// clientCA provides the very latest content of the ca bundle
	clientCA CAContentProvider
	// servingCert provides the very latest content of the default serving certificate
	servingCert CertKeyContentProvider
	// sniCerts are a list of CertKeyContentProvider with associated names used for SNI

    return Collections.unmodifiableList(asStripes);
  }

  // Static factories

  /**
   * Creates a {@code Striped<L>} with eagerly initialized, strongly referenced locks. Every lock is
   * obtained from the passed supplier.
   *
   * @param stripes the minimum number of stripes (locks) required
   * @param supplier a {@code Supplier<L>} object to obtain locks from

To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.

## `async` and `await`

		}
	}

	// For every soft pod affinity term of <existingPod>, if <pod> matches the term,
	// increment <p.counts> for every node in the cluster with the same <term.TopologyKey>
	// value as that of <existingPod>'s node by the term's weight.
	topoScore.processTerms(existingPod.PreferredAffinityTerms, incomingPod, state.namespaceLabels, existingPodNode, 1)