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import re |
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import six |
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from six.moves import range |
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PAD = "<pad>" |
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EOS = "<EOS>" |
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UNK = "<UNK>" |
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SEG = "|" |
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RESERVED_TOKENS = [PAD, EOS, UNK] |
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NUM_RESERVED_TOKENS = len(RESERVED_TOKENS) |
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PAD_ID = RESERVED_TOKENS.index(PAD) |
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EOS_ID = RESERVED_TOKENS.index(EOS) |
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UNK_ID = RESERVED_TOKENS.index(UNK) |
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if six.PY2: |
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RESERVED_TOKENS_BYTES = RESERVED_TOKENS |
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else: |
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RESERVED_TOKENS_BYTES = [bytes(PAD, "ascii"), bytes(EOS, "ascii")] |
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_UNESCAPE_REGEX = re.compile(r"\\u|\\\\|\\([0-9]+);") |
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_ESCAPE_CHARS = set(u"\\_u;0123456789") |
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def strip_ids(ids, ids_to_strip): |
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"""Strip ids_to_strip from the end ids.""" |
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ids = list(ids) |
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while ids and ids[-1] in ids_to_strip: |
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ids.pop() |
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return ids |
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class TextEncoder(object): |
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"""Base class for converting from ints to/from human readable strings.""" |
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def __init__(self, num_reserved_ids=NUM_RESERVED_TOKENS): |
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self._num_reserved_ids = num_reserved_ids |
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@property |
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def num_reserved_ids(self): |
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return self._num_reserved_ids |
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def encode(self, s): |
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"""Transform a human-readable string into a sequence of int ids. |
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The ids should be in the range [num_reserved_ids, vocab_size). Ids [0, |
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num_reserved_ids) are reserved. |
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EOS is not appended. |
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Args: |
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s: human-readable string to be converted. |
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Returns: |
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ids: list of integers |
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""" |
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return [int(w) + self._num_reserved_ids for w in s.split()] |
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def decode(self, ids, strip_extraneous=False): |
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"""Transform a sequence of int ids into a human-readable string. |
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EOS is not expected in ids. |
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Args: |
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ids: list of integers to be converted. |
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strip_extraneous: bool, whether to strip off extraneous tokens |
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(EOS and PAD). |
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Returns: |
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s: human-readable string. |
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""" |
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if strip_extraneous: |
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ids = strip_ids(ids, list(range(self._num_reserved_ids or 0))) |
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return " ".join(self.decode_list(ids)) |
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def decode_list(self, ids): |
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"""Transform a sequence of int ids into a their string versions. |
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This method supports transforming individual input/output ids to their |
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string versions so that sequence to/from text conversions can be visualized |
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in a human readable format. |
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Args: |
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ids: list of integers to be converted. |
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Returns: |
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strs: list of human-readable string. |
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""" |
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decoded_ids = [] |
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for id_ in ids: |
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if 0 <= id_ < self._num_reserved_ids: |
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decoded_ids.append(RESERVED_TOKENS[int(id_)]) |
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else: |
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decoded_ids.append(id_ - self._num_reserved_ids) |
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return [str(d) for d in decoded_ids] |
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@property |
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def vocab_size(self): |
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raise NotImplementedError() |
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class ByteTextEncoder(TextEncoder): |
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"""Encodes each byte to an id. For 8-bit strings only.""" |
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def encode(self, s): |
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numres = self._num_reserved_ids |
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if six.PY2: |
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if isinstance(s, unicode): |
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s = s.encode("utf-8") |
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return [ord(c) + numres for c in s] |
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return [c + numres for c in s.encode("utf-8")] |
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def decode(self, ids, strip_extraneous=False): |
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if strip_extraneous: |
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ids = strip_ids(ids, list(range(self._num_reserved_ids or 0))) |
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numres = self._num_reserved_ids |
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decoded_ids = [] |
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int2byte = six.int2byte |
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for id_ in ids: |
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if 0 <= id_ < numres: |
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decoded_ids.append(RESERVED_TOKENS_BYTES[int(id_)]) |
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else: |
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decoded_ids.append(int2byte(id_ - numres)) |
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if six.PY2: |
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return "".join(decoded_ids) |
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return b"".join(decoded_ids).decode("utf-8", "replace") |
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def decode_list(self, ids): |
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numres = self._num_reserved_ids |
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decoded_ids = [] |
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int2byte = six.int2byte |
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for id_ in ids: |
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if 0 <= id_ < numres: |
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decoded_ids.append(RESERVED_TOKENS_BYTES[int(id_)]) |
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else: |
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decoded_ids.append(int2byte(id_ - numres)) |
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return decoded_ids |
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@property |
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def vocab_size(self): |
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return 2**8 + self._num_reserved_ids |
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class ByteTextEncoderWithEos(ByteTextEncoder): |
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"""Encodes each byte to an id and appends the EOS token.""" |
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def encode(self, s): |
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return super(ByteTextEncoderWithEos, self).encode(s) + [EOS_ID] |
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class TokenTextEncoder(TextEncoder): |
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"""Encoder based on a user-supplied vocabulary (file or list).""" |
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def __init__(self, |
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vocab_filename, |
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reverse=False, |
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vocab_list=None, |
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replace_oov=None, |
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num_reserved_ids=NUM_RESERVED_TOKENS): |
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"""Initialize from a file or list, one token per line. |
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Handling of reserved tokens works as follows: |
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- When initializing from a list, we add reserved tokens to the vocab. |
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- When initializing from a file, we do not add reserved tokens to the vocab. |
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- When saving vocab files, we save reserved tokens to the file. |
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Args: |
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vocab_filename: If not None, the full filename to read vocab from. If this |
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is not None, then vocab_list should be None. |
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reverse: Boolean indicating if tokens should be reversed during encoding |
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and decoding. |
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vocab_list: If not None, a list of elements of the vocabulary. If this is |
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not None, then vocab_filename should be None. |
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replace_oov: If not None, every out-of-vocabulary token seen when |
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encoding will be replaced by this string (which must be in vocab). |
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num_reserved_ids: Number of IDs to save for reserved tokens like <EOS>. |
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""" |
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super(TokenTextEncoder, self).__init__(num_reserved_ids=num_reserved_ids) |
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self._reverse = reverse |
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self._replace_oov = replace_oov |
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if vocab_filename: |
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self._init_vocab_from_file(vocab_filename) |
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else: |
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assert vocab_list is not None |
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self._init_vocab_from_list(vocab_list) |
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self.pad_index = self._token_to_id[PAD] |
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self.eos_index = self._token_to_id[EOS] |
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self.unk_index = self._token_to_id[UNK] |
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self.seg_index = self._token_to_id[SEG] if SEG in self._token_to_id else self.eos_index |
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def encode(self, s): |
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"""Converts a space-separated string of tokens to a list of ids.""" |
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sentence = s |
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tokens = sentence.strip().split() |
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if self._replace_oov is not None: |
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tokens = [t if t in self._token_to_id else self._replace_oov |
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for t in tokens] |
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ret = [self._token_to_id[tok] for tok in tokens] |
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return ret[::-1] if self._reverse else ret |
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def decode(self, ids, strip_eos=False, strip_padding=False): |
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if strip_padding and self.pad() in list(ids): |
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pad_pos = list(ids).index(self.pad()) |
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ids = ids[:pad_pos] |
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if strip_eos and self.eos() in list(ids): |
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eos_pos = list(ids).index(self.eos()) |
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ids = ids[:eos_pos] |
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return " ".join(self.decode_list(ids)) |
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def decode_list(self, ids): |
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seq = reversed(ids) if self._reverse else ids |
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return [self._safe_id_to_token(i) for i in seq] |
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@property |
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def vocab_size(self): |
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return len(self._id_to_token) |
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def __len__(self): |
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return self.vocab_size |
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def _safe_id_to_token(self, idx): |
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return self._id_to_token.get(idx, "ID_%d" % idx) |
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def _init_vocab_from_file(self, filename): |
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"""Load vocab from a file. |
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Args: |
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filename: The file to load vocabulary from. |
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""" |
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with open(filename) as f: |
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tokens = [token.strip() for token in f.readlines()] |
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def token_gen(): |
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for token in tokens: |
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yield token |
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self._init_vocab(token_gen(), add_reserved_tokens=False) |
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def _init_vocab_from_list(self, vocab_list): |
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"""Initialize tokens from a list of tokens. |
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It is ok if reserved tokens appear in the vocab list. They will be |
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removed. The set of tokens in vocab_list should be unique. |
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Args: |
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vocab_list: A list of tokens. |
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""" |
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def token_gen(): |
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for token in vocab_list: |
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if token not in RESERVED_TOKENS: |
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yield token |
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self._init_vocab(token_gen()) |
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def _init_vocab(self, token_generator, add_reserved_tokens=True): |
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"""Initialize vocabulary with tokens from token_generator.""" |
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self._id_to_token = {} |
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non_reserved_start_index = 0 |
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if add_reserved_tokens: |
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self._id_to_token.update(enumerate(RESERVED_TOKENS)) |
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non_reserved_start_index = len(RESERVED_TOKENS) |
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self._id_to_token.update( |
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enumerate(token_generator, start=non_reserved_start_index)) |
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self._token_to_id = dict((v, k) |
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for k, v in six.iteritems(self._id_to_token)) |
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def pad(self): |
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return self.pad_index |
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def eos(self): |
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return self.eos_index |
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def unk(self): |
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return self.unk_index |
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def seg(self): |
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return self.seg_index |
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def store_to_file(self, filename): |
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"""Write vocab file to disk. |
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Vocab files have one token per line. The file ends in a newline. Reserved |
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tokens are written to the vocab file as well. |
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Args: |
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filename: Full path of the file to store the vocab to. |
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""" |
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with open(filename, "w") as f: |
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for i in range(len(self._id_to_token)): |
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f.write(self._id_to_token[i] + "\n") |
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def sil_phonemes(self): |
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return [p for p in self._id_to_token.values() if not p[0].isalpha()] |
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