code stringlengths 3 6.57k |
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isinstance(text, unicode) |
ValueError("Unsupported string type: %s" % (type(text) |
ValueError("Not running on Python2 or Python 3?") |
printable_text(text) |
isinstance(text, str) |
isinstance(text, bytes) |
text.decode("utf-8", "ignore") |
ValueError("Unsupported string type: %s" % (type(text) |
isinstance(text, str) |
isinstance(text, unicode) |
text.encode("utf-8") |
ValueError("Unsupported string type: %s" % (type(text) |
ValueError("Not running on Python2 or Python 3?") |
load_vocab(vocab_file) |
collections.OrderedDict() |
tf.gfile.GFile(vocab_file, "r") |
convert_to_unicode(reader.readline() |
token.strip() |
convert_by_vocab(vocab, items) |
print("items:",items) |
enumerate(items) |
print(i,"item:",item) |
output.append(vocab[item]) |
convert_tokens_to_ids(vocab, tokens) |
convert_by_vocab(vocab, tokens) |
convert_ids_to_tokens(inv_vocab, ids) |
convert_by_vocab(inv_vocab, ids) |
whitespace_tokenize(text) |
text.strip() |
text.split() |
FullTokenizer(object) |
__init__(self, vocab_file, do_lower_case=True) |
load_vocab(vocab_file) |
self.vocab.items() |
BasicTokenizer(do_lower_case=do_lower_case) |
WordpieceTokenizer(vocab=self.vocab) |
tokenize(self, text) |
self.basic_tokenizer.tokenize(text) |
self.wordpiece_tokenizer.tokenize(token) |
split_tokens.append(sub_token) |
convert_tokens_to_ids(self, tokens) |
convert_by_vocab(self.vocab, tokens) |
convert_ids_to_tokens(self, ids) |
convert_by_vocab(self.inv_vocab, ids) |
BasicTokenizer(object) |
tokenization (punctuation splitting, lower casing, etc.) |
__init__(self, do_lower_case=True) |
tokenize(self, text) |
convert_to_unicode(text) |
self._clean_text(text) |
self._tokenize_chinese_chars(text) |
whitespace_tokenize(text) |
token.lower() |
self._run_strip_accents(token) |
split_tokens.extend(self._run_split_on_punc(token) |
whitespace_tokenize(" ".join(split_tokens) |
_run_strip_accents(self, text) |
unicodedata.normalize("NFD", text) |
unicodedata.category(char) |
output.append(char) |
join(output) |
_run_split_on_punc(self, text) |
list(text) |
len(chars) |
_is_punctuation(char) |
output.append([char]) |
output.append([]) |
append(char) |
join(x) |
_tokenize_chinese_chars(self, text) |
ord(char) |
self._is_chinese_char(cp) |
output.append(" ") |
output.append(char) |
output.append(" ") |
output.append(char) |
join(output) |
_is_chinese_char(self, cp) |
CJK_Unified_Ideographs_(Unicode_block) |
if ((cp >= 0x4E00 and cp <= 0x9FFF) |
or
(cp >= 0xF900 and cp <= 0xFAFF) |
_clean_text(self, text) |
ord(char) |
_is_control(char) |
_is_whitespace(char) |
output.append(" ") |
output.append(char) |
join(output) |
WordpieceTokenizer(object) |
__init__(self, vocab, unk_token="[UNK]", max_input_chars_per_word=200) |
tokenize(self, text) |
convert_to_unicode(text) |
whitespace_tokenize(text) |
list(token) |
len(chars) |
output_tokens.append(self.unk_token) |
len(chars) |
len(chars) |
join(chars[start:end]) |
sub_tokens.append(cur_substr) |
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