for (ListTestSuiteBuilder<Float> builder : builders) {
      suite.addTest(
          builder
              .withFeatures(
                  CollectionSize.ONE,
                  CollectionSize.SEVERAL,
                  CollectionFeature.RESTRICTS_ELEMENTS,
                  ListFeature.SUPPORTS_SET)
              .createTestSuite());
    }
    return suite;
  }

    for (ListTestSuiteBuilder<Integer> builder : builders) {
      suite.addTest(
          builder
              .withFeatures(
                  CollectionSize.ONE,
                  CollectionSize.SEVERAL,
                  CollectionFeature.RESTRICTS_ELEMENTS,
                  ListFeature.SUPPORTS_SET)
              .createTestSuite());
    }
    return suite;
  }

package com.google.common.math;

import com.google.common.collect.ImmutableMap;
import java.math.RoundingMode;
import java.util.Arrays;
import java.util.Collection;
import java.util.Map;

/**
 * Enumerates several algorithms providing equivalent functionality to {@link Quantiles}, for use in
 * {@link QuantilesBenchmark}. These algorithms each calculate either a single quantile or multiple

   */
  @SuppressWarnings("unchecked")
  public static <T extends @Nullable Object> Collector<T, ?, T> onlyElement() {
    return (Collector) ONLY_ELEMENT;
  }

  /**
   * This atrocity is here to let us report several of the elements in the stream if there were more
   * than one, not just two.
   */
  private static final class ToOptionalState {
    static final int MAX_EXTRAS = 4;

    @CheckForNull Object element;

    for (ListTestSuiteBuilder<Byte> builder : builders) {
      suite.addTest(
          builder
              .withFeatures(
                  CollectionSize.ONE,
                  CollectionSize.SEVERAL,
                  CollectionFeature.RESTRICTS_ELEMENTS,
                  ListFeature.SUPPORTS_SET)
              .createTestSuite());
    }
    return suite;
  }

    for (ListTestSuiteBuilder<Long> builder : builders) {
      suite.addTest(
          builder
              .withFeatures(
                  CollectionSize.ONE,
                  CollectionSize.SEVERAL,
                  CollectionFeature.RESTRICTS_ELEMENTS,
                  ListFeature.SUPPORTS_SET)
              .createTestSuite());
    }
    return suite;
  }

 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 * 
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 * 

- All value additions or removals are user-facing and must come with a release note.

- If you find yourself writing the same templating logic across several charts or needing to craft complex conditionals, consider using a shared Helm template for consistency rather than inlining.

## Making changes

### Step 1. Make changes in charts and values.yaml in `manifests` directory

esac

mkdir -p "${TARGET}"

# Download glibc's shared and development libraries based on the value of the
# `VERSION` parameter.
# Note: 'Templatizing' this and the other conditional branches would require
# defining several variables (version, os, path) making it difficult to maintain
# and extend for future modifications.
case "${VERSION}" in
devtoolset-7)
  # Download binary glibc 2.12 shared library release.

The main thing you need to run a **FastAPI** application (or any other ASGI application) in a remote server machine is an ASGI server program like **Uvicorn**, this is the one that comes by default in the `fastapi` command.

There are several alternatives, including:

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: a high performance ASGI server.