tools/binary_size/libsupersize/obj_analyzer.py
def _RunLlvmBcAnalyzer(self, paths_by_type):
    """Calls llvm-bcanalyzer to extract string data (for LLD-LTO)."""
    BATCH_SIZE = 50  # Arbitrarily chosen.
    batches = self._MakeBatches(paths_by_type.bc, BATCH_SIZE)
    results = self._DoBulkFork(
        bcanalyzer.RunBcAnalyzerOnIntermediates, batches)
    for encoded_strs in results:
      if encoded_strs != parallel.EMPTY_ENCODED_DICT:
        self._encoded_strings_by_path_chunks.append(encoded_strs)
Calls llvm-bcanalyzer to extract string data (for LLD-LTO).
Calls llvm-bcanalyzer to extract string data (for LLD-LTO).
Calls llvm - bcanalyzer to extract string data ( for LLD - LTO ) .
def _RunLlvmBcAnalyzer(self, paths_by_type):
    BATCH_SIZE = 50  
    batches = self._MakeBatches(paths_by_type.bc, BATCH_SIZE)
    results = self._DoBulkFork(
        bcanalyzer.RunBcAnalyzerOnIntermediates, batches)
    for encoded_strs in results:
      if encoded_strs != parallel.EMPTY_ENCODED_DICT:
        self._encoded_strings_by_path_chunks.append(encoded_strs)
def _RunLlvmBcAnalyzer ( self , paths_by_type ) : BATCH_SIZE = 50 batches = self . _MakeBatches ( paths_by_type . bc , BATCH_SIZE ) results = self . _DoBulkFork ( bcanalyzer . RunBcAnalyzerOnIntermediates , batches ) for encoded_strs in results : if encoded_strs != parallel . EMPTY_ENCODED_DICT : self . _encoded_strings_by_path_chunks . append ( encoded_strs )
Calls llvm-bcanalyzer to extract string data (for LLD-LTO).
Calls llvm - bcanalyzer to extract string data ( for LLD - LTO ) .
"""Calls llvm-bcanalyzer to extract string data (for LLD-LTO).""" # Arbitrarily chosen.
self
paths_by_type