## `python-jose` のインストール

PythonでJWTトークンの生成と検証を行うために、`python-jose`をインストールする必要があります：

<div class="termy">

```console
$ pip install python-jose[cryptography]

---> 100%
```

</div>

また、<a href="https://github.com/mpdavis/python-jose" class="external-link" target="_blank">Python-jose</a>だけではなく、暗号を扱うためのパッケージを追加で必要とします。

  "durations" : [ {
    "testProject" : "springBootApp",
    "linux" : 438
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.RichConsolePerformanceTest.clean assemble with rich console",
  "durations" : [ {
    "testProject" : "bigNative",
    "linux" : 144
  }, {
    "testProject" : "largeJavaMultiProject",
    "linux" : 742
  }, {
    "testProject" : "largeMonolithicJavaProject",

## Fifi sórí ẹrọ

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>
Iwọ yóò tún nílò olupin ASGI, fún iṣelọpọ bii <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> tabi <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%

## نصب

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

نصب یک سرور پروداکشن نظیر <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> یا <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a> نیز جزء نیازمندی‌هاست.

<div class="termy">

```console
$ pip install "uvicorn[standard]"

		filter:      o.FilterPrefix,
	}
}

func (o *listPathOptions) debugf(format string, data ...interface{}) {
	if serverDebugLog {
		console.Debugf(format+"\n", data...)
	}
}

func (o *listPathOptions) debugln(data ...interface{}) {
	if serverDebugLog {
		console.Debugln(data...)
	}
}

// gatherResults will collect all results on the input channel and filter results according

find the following top-level workload metrics: total requests per second,
error rate, and request latency at p50, p90, and p99 percentiles. The
query results are printed to the console, organized by workload name.

All metrics returned are from server-side reports. This means that latencies
and error rates are from the perspective of the service itself and not of an

These credentials can now be used to perform MinIO API operations.

### Using MinIO Console

- Open MinIO URL on the browser, lets say <http://localhost:9000/>
- Click on `Login with SSO`

import (
	"context"
	"errors"
	"math/rand"
	"sort"
	"strconv"
	"sync"
	"time"

	xioutil "github.com/minio/minio/internal/ioutil"
	"github.com/minio/minio/internal/mcontext"
	"github.com/minio/pkg/v3/console"
	"github.com/minio/pkg/v3/env"
)

// Indicator if logging is enabled.
var dsyncLog bool

// Retry unit interval
var lockRetryMinInterval time.Duration

			if serverDebugLog {
				console.Debugln("decommission: already done, moving on", bucket)
			}

			z.poolMetaMutex.Lock()
			if z.poolMeta.BucketDone(idx, bucket) {
				// remove from pendingBuckets and persist.
				decomLogIf(ctx, z.poolMeta.save(ctx, z.serverPools))
			}
			z.poolMetaMutex.Unlock()
			continue
		}
		if serverDebugLog {

```
fastapi[standard]>=0.113.0,<0.114.0
pydantic>=2.7.0,<3.0.0
```

And you would normally install those package dependencies with `pip`, for example:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic
```

</div>

/// info

There are other formats and tools to define and install package dependencies.