def _whitespace_tokenize_with_offsets_encode_decode_wrapper(
self, input_tensor):
"""Tokenizes a tensor of UTF-8 strings with rank of 1.
Args:
input_tensor: The single dimensional Tensor to tokenize.
Returns:
Tuple of RaggedTensors of tokenized text and byte offsets, with shapes
[num_strings, (num_tokens or num_offsets)].
"""
# Decode the strings and get byte offsets
(codepoints, byte_start_offsets) = (
ragged_string_ops.unicode_decode_with_offsets(input_tensor, "UTF-8"))
byte_limit_offsets = array_ops.concat([
byte_start_offsets[:, 1:],
math_ops.cast(
array_ops.expand_dims(string_ops.string_length(input_tensor), 1),
dtypes.int64)
], 1)
# Tokenize
(codepoint_tokens, codepoint_start_offsets, codepoint_limit_offsets) = (
self._whitespace_tokenize_codepoints_with_offsets(codepoints))
# Encode the codepoints and translate the codepoint offsets to byte offsets.
return (ragged_string_ops.unicode_encode(codepoint_tokens, "UTF-8"),
array_ops.batch_gather(byte_start_offsets, codepoint_start_offsets),
array_ops.batch_gather(
byte_limit_offsets,
math_ops.subtract(codepoint_limit_offsets, [1])))
def testVectorDecodeWithOffset(self):
text = constant_op.constant([u"仅今年前".encode("utf-8"), b"hello"])
chars, starts = ragged_string_ops.unicode_decode_with_offsets(text, "utf-8")
expected_chars = [[ord(c) for c in u"仅今年前"],
[ord(c) for c in u"hello"]]
self.assertAllEqual(chars, expected_chars)
self.assertAllEqual(starts, [[0, 3, 6, 9], [0, 1, 2, 3, 4]])
def tokenize_with_offsets(self, input): # pylint: disable=redefined-builtin
"""Tokenizes a tensor of UTF-8 strings to Unicode characters.
Returned token tensors are of integer type.
Args:
input: A `RaggedTensor`or `Tensor` of UTF-8 strings with any shape.
Returns:
A tuple `(tokens, start_offsets, end_offsets)` where:
* `tokens`: A `RaggedTensor` of codepoints (integer type).
* `start_offsets`: A `RaggedTensor` of the tokens' starting byte offset.
* `end_offsets`: A `RaggedTensor` of the tokens' ending byte offset.
"""
name = None
with ops.name_scope(name, "UnicodeCharTokenize", [input]):
input_tensor = ragged_tensor.convert_to_tensor_or_ragged_tensor(
input)
(codepoints, byte_start_offsets) = (
ragged_string_ops.unicode_decode_with_offsets(
input_tensor, "UTF-8"))
strlens = math_ops.cast(
array_ops.expand_dims(string_ops.string_length(input_tensor),
-1), dtypes.int64)
# Adjust strlens to set 0-length strings to empty array (there will be no
# tokens in this case).
final_ends = ragged_array_ops.boolean_mask(strlens, strlens > 0)
byte_end_offsets = array_ops.concat(
[byte_start_offsets[..., 1:], final_ends], -1)
return codepoints, byte_start_offsets, byte_end_offsets
def testErrorModesWithOffsets(self,
expected=None,
expected_offsets=None,
**args):
result = ragged_string_ops.unicode_decode_with_offsets(**args)
self.assertAllEqual(result[0], expected)
self.assertAllEqual(result[1], expected_offsets)
def testErrorModesWithOffsets(self,
expected=None,
expected_offsets=None,
**args):
result = ragged_string_ops.unicode_decode_with_offsets(**args)
self.assertRaggedEqual(result[0], expected)
self.assertRaggedEqual(result[1], expected_offsets)
def testVectorDecodeWithOffset(self):
text = constant_op.constant([u"仅今年前".encode("utf-8"), b"hello"])
chars, starts = ragged_string_ops.unicode_decode_with_offsets(text, "utf-8")
expected_chars = [[ord(c) for c in u"仅今年前"],
[ord(c) for c in u"hello"]]
self.assertRaggedEqual(chars, expected_chars)
self.assertRaggedEqual(starts, [[0, 3, 6, 9], [0, 1, 2, 3, 4]])
def testDecodeWithOffsetsWithDifferentEncodings(self, encoding, texts):
expected_codepoints = _nested_codepoints(texts)
expected_offsets = _nested_offsets(texts, encoding)
input_tensor = constant_op.constant(_nested_encode(texts, encoding))
result = ragged_string_ops.unicode_decode_with_offsets(
input_tensor, encoding)
self.assertAllEqual(expected_codepoints, result[0])
self.assertAllEqual(expected_offsets, result[1])
def testDecodeWithOffsetsWithDifferentEncodings(self, encoding, texts):
expected_codepoints = _nested_codepoints(texts)
expected_offsets = _nested_offsets(texts, encoding)
input_tensor = constant_op.constant(_nested_encode(texts, encoding))
result = ragged_string_ops.unicode_decode_with_offsets(
input_tensor, encoding)
self.assertRaggedEqual(expected_codepoints, result[0])
self.assertRaggedEqual(expected_offsets, result[1])
def testBasicDecodeWithOffsets(self, texts, ragged_rank=None):
input_tensor = ragged_factory_ops.constant_value(
_nested_encode(texts, "UTF-8"), ragged_rank=ragged_rank, dtype=bytes)
result = ragged_string_ops.unicode_decode_with_offsets(
input_tensor, "UTF-8")
expected_codepoints = _nested_codepoints(texts)
expected_offsets = _nested_offsets(texts, "UTF-8")
self.assertAllEqual(expected_codepoints, result[0])
self.assertAllEqual(expected_offsets, result[1])
def testBasicDecodeWithOffsets(self, texts, ragged_rank=None):
input_tensor = ragged_factory_ops.constant_value(
_nested_encode(texts, "UTF-8"), ragged_rank=ragged_rank, dtype=bytes)
result = ragged_string_ops.unicode_decode_with_offsets(
input_tensor, "UTF-8")
expected_codepoints = _nested_codepoints(texts)
expected_offsets = _nested_offsets(texts, "UTF-8")
self.assertRaggedEqual(expected_codepoints, result[0])
self.assertRaggedEqual(expected_offsets, result[1])
def testDocstringExamples(self):
texts = [s.encode("utf8") for s in [u"G\xf6\xf6dnight", u"\U0001f60a"]]
codepoints1 = ragged_string_ops.unicode_decode(texts, "UTF-8")
codepoints2, offsets = ragged_string_ops.unicode_decode_with_offsets(
texts, "UTF-8")
self.assertAllEqual(
codepoints1, [[71, 246, 246, 100, 110, 105, 103, 104, 116], [128522]])
self.assertAllEqual(
codepoints2, [[71, 246, 246, 100, 110, 105, 103, 104, 116], [128522]])
self.assertAllEqual(offsets, [[0, 1, 3, 5, 6, 7, 8, 9, 10], [0]])
def testDocstringExamples(self):
texts = [s.encode("utf8") for s in [u"G\xf6\xf6dnight", u"\U0001f60a"]]
codepoints1 = ragged_string_ops.unicode_decode(texts, "UTF-8")
codepoints2, offsets = ragged_string_ops.unicode_decode_with_offsets(
texts, "UTF-8")
self.assertRaggedEqual(
codepoints1, [[71, 246, 246, 100, 110, 105, 103, 104, 116], [128522]])
self.assertRaggedEqual(
codepoints2, [[71, 246, 246, 100, 110, 105, 103, 104, 116], [128522]])
self.assertRaggedEqual(offsets, [[0, 1, 3, 5, 6, 7, 8, 9, 10], [0]])
def testScalarDecodeWithOffset(self):
text = constant_op.constant(u"仅今年前".encode("utf-8"))
chars, starts = ragged_string_ops.unicode_decode_with_offsets(text, "utf-8")
self.assertAllEqual(chars, [ord(c) for c in u"仅今年前"])
self.assertAllEqual(starts, [0, 3, 6, 9])
def testScalarDecodeWithOffset(self):
text = constant_op.constant(u"仅今年前".encode("utf-8"))
chars, starts = ragged_string_ops.unicode_decode_with_offsets(text, "utf-8")
self.assertAllEqual(chars, [ord(c) for c in u"仅今年前"])
self.assertAllEqual(starts, [0, 3, 6, 9])
