* default, OkHttp will perform lazy initialization upon the first usage of the cache.
   */
  @Throws(IOException::class)
  fun initialize() {
    cache.initialize()
  }

  /**
   * Closes the cache and deletes all of its stored values. This will delete all files in the cache
   * directory including files that weren't created by the cache.
   */

# Sourcing this enables Bazel remote cache (public, read-only)
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"

# Sourcing this enables local disk cache
if [[ $(uname -s) == "Darwin" ]]; then
  echo "Please note that using disk cache on macOS is not recommended because the"
  echo "cache can end up being pretty big and make the build process inefficient."
fi

# Sourcing this enables Bazel remote cache (read and write)
# Note that "_push" cache configs write to GCS buckets and require
# authentication. If you are not a Googler, source "public_cache" to enable the
# public read-only cache.
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache_push"
else

        if (taskResult is TaskSuccessResult && !taskResult.isFromCache && !taskResult.isUpToDate) {
            println("CACHE_MISS in task $taskPath")
            cacheMiss.set(true)
        }
    }
}


/**
 *  We monitor some tasks in non-seed builds. If a task executed in a non-seed build, we think it as "CACHE_MISS".
 */

"""
    fileSystem.createDirectory(cache.directoryPath)
    writeFile(cache.directoryPath, "$urlKey.0", entryMetadata)
    writeFile(cache.directoryPath, "$urlKey.1", entryBody)
    writeFile(cache.directoryPath, "journal", journalBody)
    cache = Cache(fileSystem, cache.directory.path.toPath(), Int.MAX_VALUE.toLong())
    client =
      client.newBuilder()
        .cache(cache)
        .build()

 * the cache; the cache may delete or overwrite files from its directory. It is an error for
 * multiple processes to use the same cache directory at the same time.
 *
 * This cache limits the number of bytes that it will store on the filesystem. When the number of
 * stored bytes exceeds the limit, the cache will remove entries in the background until the limit
 * is satisfied. The limit is not strict: the cache may temporarily exceed it while waiting for

import okhttp3.internal.toNonNegativeInt

/**
 * Given a request and cached response, this figures out whether to use the network, the cache, or
 * both.
 *
 * Selecting a cache strategy may add conditions to the request (like the "If-Modified-Since" header
 * for conditional GETs) or warnings to the cached response (if the cached data is potentially
 * stale).
 */
class CacheStrategy internal constructor(

            }
        }
    }
}


private class BuilderCache<From, To : KtSymbol> {
    private val cache = ContainerUtil.createConcurrentWeakKeySoftValueMap<From, To>()

    inline fun <reified S : To> cache(key: From, calculation: () -> S): S {
        val value = cache.getOrPut(key, calculation)
        return value as? S
            ?: errorWithAttachment("Cannot cast ${value::class} to ${S::class}") {

# This bazelrc can build a CPU-supporting TF package.

# Convenient cache configurations
# Use a cache directory mounted to /tf/cache. Very useful!
build:sigbuild_local_cache --disk_cache=/tf/cache
# Use the public-access TF DevInfra cache (read only)
build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false