code: def translations_generator_to_dataframe(translations_generator):
      
      return dataframe_from_generator(
          element_class=Translation,
          variant_and_elements_generator=translations_generator,
          exclude=[],
          converters={
              "untrimmed_variant_sequence": lambda vs: vs.sequence,
              "variant_sequence_in_reading_frame": (
                  lambda vs: vs.in_frame_cdna_sequence),
              "reference_context": (
                  lambda rc: ";".join([
                      transcript.name for
                      transcript in rc.transcripts]))
          },
          extra_column_fns={
              "untrimmed_variant_sequence_read_count": (
                  lambda _, t: len(t.untrimmed_variant_sequence.reads)),
          })
docs: Given a generator of (Variant, [Translation]) pairs,
      returns a DataFrame of translated protein fragments with columns
      for each field of a Translation object (and chr/pos/ref/alt per variant).