):
    return {"counter": count, "subcounter": subcount}


@app.get("/sub-counter-no-cache/")
async def get_sub_counter_no_cache(
    subcount: int = Depends(super_dep),
    count: int = Depends(dep_counter, use_cache=False),
):
    return {"counter": count, "subcounter": subcount}


@app.get("/scope-counter")
async def get_scope_counter(

)

// metricsCache - cache for metrics.
//
// When serving metrics, this cache is passed to the MetricsLoaderFn.
//
// This cache is used for metrics that would result in network/storage calls.
type metricsCache struct {
	dataUsageInfo       *cachevalue.Cache[DataUsageInfo]
	esetHealthResult    *cachevalue.Cache[HealthResult]
	driveMetrics        *cachevalue.Cache[storageMetrics]

/*
 * Copyright 2020 the original author or authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

				return
			}
		case "Cache":
			var zb0002 uint32
			zb0002, err = dc.ReadMapHeader()
			if err != nil {
				err = msgp.WrapError(err, "Cache")
				return
			}
			if z.Cache == nil {
				z.Cache = make(map[string]dataUsageEntry, zb0002)
			} else if len(z.Cache) > 0 {
				for key := range z.Cache {
					delete(z.Cache, key)
				}
			}
			for zb0002 > 0 {
				zb0002--

  tf_gcs_filesystem::ExpiringLRUCache<int> cache(1, 4);
  cache.Insert("a", 1);
  cache.Insert("b", 2);
  cache.Insert("c", 3);
  cache.Insert("d", 4);
  int value = 0;
  EXPECT_TRUE(cache.Lookup("a", &value));
  EXPECT_EQ(value, 1);
  EXPECT_TRUE(cache.Lookup("b", &value));
  EXPECT_EQ(value, 2);
  EXPECT_TRUE(cache.Lookup("c", &value));
  EXPECT_EQ(value, 3);
  EXPECT_TRUE(cache.Lookup("d", &value));

    auto ram_file_block_cache = static_cast<RamFileBlockCache*>(param);
    ram_file_block_cache->Prune();
  }

 private:
  /// The size of the blocks stored in the LRU cache, as well as the size of the
  /// reads from the underlying filesystem.
  const size_t block_size_;
  /// The maximum number of bytes (sum of block sizes) allowed in the LRU cache.
  const size_t max_bytes_;

/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

Krishnan Parthasarathi <******@****.***> 1705132268 -0800

  calls.push_back(block_size);
  // Cache miss followed by cache hit.
  TF_EXPECT_OK(ReadCache(&cache, "", block_size, 1, &out));
  TF_EXPECT_OK(ReadCache(&cache, "", block_size, 1, &out));
  calls.push_back(2 * block_size);
  // Cache miss followed by cache hit.  Causes eviction of LRU element.
  TF_EXPECT_OK(ReadCache(&cache, "", 2 * block_size, 1, &out));

Krishnan Parthasarathi <******@****.***> 1705132268 -0800