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        for (int i = 1; i < values.length; i++) {
          mean = mean + (values[i] - mean) / (i + 1);
        }
        return mean;
      }
    };

    abstract double mean(double[] values);
  }

  static class MeanAndVariance {
    private final double mean;
    private final double variance;

    MeanAndVariance(double mean, double variance) {
      this.mean = mean;
      this.variance = variance;
    }

http://www.apache.org/licenses/ 

1. Definitions.

"License" shall mean the terms and conditions for use, reproduction, and 
distribution as defined by Sections 1 through 9 of this document. 

"Licensor" shall mean the copyright owner or entity authorized by the 
copyright owner that is granting the License. 

"Legal Entity" shall mean the union of the acting entity and all other 

# Deployment { #deployment }

Deploying a **FastAPI** application is relatively easy.

## What Does Deployment Mean { #what-does-deployment-mean }

To **deploy** an application means to perform the necessary steps to make it **available to the users**.

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It would also mean that if you get data from the `Request` object directly (for example, read the body) it won't be validated, converted or documented (with OpenAPI, for the automatic API user interface) by FastAPI.

If you use a `requirements.txt` file you could specify the version with:

```txt
fastapi[standard]==0.112.0
```

that would mean that you would use exactly the version `0.112.0`.

Or you could also pin it with:

```txt
fastapi[standard]>=0.112.0,<0.113.0
```

that would mean that you would use the versions `0.112.0` or above, but less than `0.113.0`, for example, a version `0.112.2` would still be accepted.

"ParseNDStream" = "ParseNDStream"
"pn" = "pn"
"TestGetPartialObjectMisAligned" = "TestGetPartialObjectMisAligned"
"thr" = "thr"
"toi" = "toi"

[type.go]
extend-ignore-identifiers-re = [
    # Variants of `typ` used to mean `type` in golang as it is otherwise a
    # keyword - some of these (like typ1 -> type1) can be fixed, but probably
    # not worth the effort.
    "[tT]yp[0-9]*",

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    // dataset which is already sorted or partially sorted is cheating.
    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {