RUN wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://github.com/bazelbuild/bazelisk/releases/download/v1.12.0/bazelisk-linux-arm64 -O /usr/local/bin/bazel && chmod +x /usr/local/bin/bazel

    raise TypeError('`--print` or `--xml-out-path` must be specified')

  return parsed_args


def parse_log(file_path: str,
              verbose: bool = False) -> ResultDictType:
  """Finds ResultStore links, and tries to determine their status."""
  with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
    log_lines = f.read().splitlines()

  result_store_links: ResultDictType = {}
  current_url = None

# TensorFlow Bazel configuration file.
# This file tries to group and simplify build options for TensorFlow
#
# ----CONFIG OPTIONS----
# Android options:
#    android:
#    android_arm:
#    android_arm64:
#    android_x86:
#    android_x86_64:
#
# iOS options:
#     ios:
#     ios_armv7:
#     ios_arm64:
#     ios_x86_64:
#     ios_fat:
#
# Macosx options
#     darwin_arm64:
#
# Compiler options:

devtoolset-9)
  wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 "https://vault.centos.org/centos/7/sclo/Source/rh/devtoolset-9-gcc-9.3.1-2.2.el7.src.rpm"
  rpm2cpio "devtoolset-9-gcc-9.3.1-2.2.el7.src.rpm" |cpio -idmv
  tar -xvf "gcc-9.3.1-20200408.tar.xz" --strip 1
  ;;
devtoolset-10)

if [[ ! -f "/usr/local/include/$VERSION" ]]; then
  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip

wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip

# Disable the cache dir to save image space, and install packages

        symbolic values.
    *   Code already susceptible to leaking tensors outside of graphs becomes
        slightly more likely to do so now.
    *   Code that tries directly getting gradients with respect to symbolic
        Keras inputs/outputs. Use `GradientTape` on the actual Tensors passed to
        the already-constructed model instead.