* And many other things...

All these, while minimizing code repetition.

## First Steps { #first-steps }

Let's see a very simple example. It will be so simple that it is not very useful, for now.

But this way we can focus on how the **Dependency Injection** system works.

### Create a dependency, or "dependable" { #create-a-dependency-or-dependable }

Let's first focus on the dependency.

And `fastapi-slim` would not include those standard dependencies.

Now `fastapi` doesn't include those standard dependencies unless you install with `pip install "fastapi[standard]"`.

Before, you would install `pip install fastapi`, now you should include the `standard` optional dependencies (unless you want to exclude one of those): `pip install "fastapi[standard]"`.

                alternativeChannel.addPendingOperation(op);
                // Operation would be resent on alternative channel
                // For now, skip actual send implementation
            } catch (Exception e) {
                log.error("Failed to redistribute operation", e);
                // Notify waiting threads of failure if the operation supports it

			staleWriters[i] = newBitrotWriter(disk, "", "testbucket", "testobject", erasure.ShardFileSize(test.size), test.algorithm, erasure.ShardSize())
		}

		// test case setup is complete - now call Heal()
		err = erasure.Heal(t.Context(), staleWriters, readers, test.size, nil)
		closeBitrotReaders(readers)
		closeBitrotWriters(staleWriters)
		if err != nil && !test.shouldFail {

	// difference that for some j, a[j]>b[j] and a[j+1]<b[j+1]. If the implementation
	// compares large chunks with wrong endianness, it gets wrong result.
	// no vector register is larger than 512 bytes for now
	const maxLength = 512
	a := make([]byte, maxLength)
	b := make([]byte, maxLength)
	// randomish but deterministic data. No 0 or 255.
	for i := 0; i < maxLength; i++ {
		a[i] = byte(1 + 31*i%254)

import java.util.Properties;
import java.util.StringTokenizer;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import jcifs.context.SingletonContext;

/**
 * This class now contains only utilities for config parsing.
 *
 * We strongly suggest that you create an explicit {@link jcifs.context.CIFSContextWrapper}
 * with your desired config. It's base implementation {@link jcifs.context.BaseContext}

	EvalRetentionBypassFn EvalRetentionBypassFn // only set for enforcing retention bypass on DeleteObject.

	FastGetObjInfo bool // Only for S3 Head/Get Object calls for now
	NoAuditLog     bool // Only set for decom, rebalance, to avoid double audits.
}

// WalkOptions provides filtering, marker and other Walk() specific options.
type WalkOptions struct {

// The source object is then updated to reflect the replication status.
func (ri ReplicateObjectInfo) replicateObject(ctx context.Context, objectAPI ObjectLayer, tgt *TargetClient) (rinfo replicatedTargetInfo) {
	startTime := time.Now()
	bucket := ri.Bucket
	object := ri.Name

	rAction := replicateAll
	rinfo = replicatedTargetInfo{
		Size:                  ri.ActualSize,
		Arn:                   tgt.ARN,

            // andx not used; return
            return dstIndex - start;
        }

        /* The message provided to batch has a batchLimit that is
         * higher than the current batchLevel so we will now encode
         * that chained message. Before doing so we must increment
         * the batchLevel of the andx message in case it itself is an
         * andx message and needs to perform the same check as above.
         */

```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