isbn10 = get_isbn(book, 'ISBN_10')
    isbn13 = get_isbn(book, 'ISBN_13')

    return {
        'id' => id,
        'author': book['authors'][0],
        'year': book['publishedDate'],
        'type' => type,
        'pages' => book['pageCount'],
        'publisher' => book['publisher'],
        'language' => language,
        'ISBN-10' => isbn10,
        'ISBN-13' => isbn13

                <thead>
                  <tr>
                    <th scope="col" class="whitespace-nowrap py-3.5 pl-4 pr-3 text-left text-sm font-semibold text-gray-900 sm:pl-0">ISBN-10</th>
                    <th scope="col" class="whitespace-nowrap px-2 py-3.5 text-left text-sm font-semibold text-gray-900">Publisher</th>

  Type type = val_bcast.getType();
  Type elem_type = getElementTypeOrSelf(type);
  // Xla's all_reduce legalizer bitcasts to 32 bits, so only
  // element types size <= 4 bytes are supported.
  if (elem_type.isBF16() || elem_type.isF16() || elem_type.isTF32() ||
      elem_type.isF32()) {
    zero = builder.getFloatAttr(elem_type, 0);
  } else {
    return false;
  }
  if (auto ranked_type = dyn_cast<RankedTensorType>(type)) {

9ab][0-9a-f]{3}-?[0-9a-f]{12}$ - uuid5: an UUID5 that allows uppercase defined by the regex (?i)^[0-9a-f]{8}-?[0-9a-f]{4}-?5[0-9a-f]{3}-?[89ab][0-9a-f]{3}-?[0-9a-f]{12}$ - isbn: an ISBN10 or ISBN13 number string like \"0321751043\" or \"978-0321751041\" - isbn10: an ISBN10 number string like \"0321751043\" - isbn13: an ISBN13 number string like \"978-0321751041\" - creditcard: a credit card number defined by the regex ^(?:4[0-9]{12}(?:[0-9]{3})?|5[1-5][0-9]{14}|6(?:011|5[0-9][0-9])[0-9]{12}|3[47...

9ab][0-9a-f]{3}-?[0-9a-f]{12}$ - uuid5: an UUID5 that allows uppercase defined by the regex (?i)^[0-9a-f]{8}-?[0-9a-f]{4}-?5[0-9a-f]{3}-?[89ab][0-9a-f]{3}-?[0-9a-f]{12}$ - isbn: an ISBN10 or ISBN13 number string like \"0321751043\" or \"978-0321751041\" - isbn10: an ISBN10 number string like \"0321751043\" - isbn13: an ISBN13 number string like \"978-0321751041\" - creditcard: a credit card number defined by the regex ^(?:4[0-9]{12}(?:[0-9]{3})?|5[1-5][0-9]{14}|6(?:011|5[0-9][0-9])[0-9]{12}|3[47...

// Returns the corresponding type that should be used for performing sum
// accumulation over the given input type.
Type GetSumAccumulationType(Type input_type) {
  MLIRContext *ctx = input_type.getContext();
  if (input_type.isBF16() || input_type.isF16()) return FloatType::getF32(ctx);
  if (input_type.isSignlessInteger(8) || input_type.isSignlessInteger(16))
    return IntegerType::get(ctx, 32);
  return input_type;
}

    }
  }

  if (type.isF32()) {
    return tflite::TensorType_FLOAT32;
  } else if (type.isF16()) {
    return tflite::TensorType_FLOAT16;
  } else if (type.isBF16()) {
    return tflite::TensorType_BFLOAT16;
  } else if (type.isF64()) {
    return tflite::TensorType_FLOAT64;
  } else if (mlir::isa<mlir::TF::StringType>(type)) {
    return tflite::TensorType_STRING;