Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

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

	//   the request finishes even if there is a small number of watches.
	//   However, until we tune the estimation we want to stay on the safe side
	//   an avoid introducing additional latency for almost every single request.
	if watchCount >= int(e.config.WatchesPerSeat) {
		// TODO: As described in the KEP, we should take into account that not all
		//   events are equal and try to estimate the cost of a single event based on

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

		atomic.Or8(&x, 1<<i)
		if r := (uint8(1) << (i + 1)) - 1; x != r {
			t.Fatalf("setting bit %#x: want %#x, got %#x", uint8(1)<<i, r, x)
		}
	}

	// Start with every bit in array set to 0.
	a := make([]uint8, 1<<12)

	// Set every bit in array bit-by-bit in different goroutines.
	done := make(chan bool)
	for i := 0; i < 8; i++ {
		m := uint8(1 << i)
		go func() {
			for i := range a {

    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`

        signingTasks.every { it.signatures.every { it in configurations.signatures.artifacts } }
    }

    def "sign configuration with inherited artifacts"() {
        when:
        signing {
            sign configurations.produced
        }

        then:
        configurations.signatures.artifacts.size() == 3
        signProduced.signatures.every { it in configurations.signatures.artifacts }
    }

		}
	}

	// 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)