Python argparse.open方法代碼示例

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def _process_lines(bpe, filename, outfile, dropout, begin, end):
    if isinstance(outfile, str):
        fo = open(outfile, "w", encoding="utf-8")
    else:
        fo = outfile
    with open(filename, encoding="utf-8") as f:
        f.seek(begin)
        line = f.readline()
        while line:
            pos = f.tell()
            assert 0 <= pos < 1e20, "Bad new line separator, e.g. '\\r'"
            if end > 0 and pos > end:
                break
            fo.write(bpe.process_line(line, dropout))
            line = f.readline()
    if isinstance(outfile, str):
        fo.close() 

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def _get_vocabulary(infile, outfile, begin, end):
    import pickle
    vocab = Counter()
    with open(infile, encoding="utf8") as f:
        f.seek(begin)
        line = f.readline()
        while line:
            pos = f.tell()
            assert 0 <= pos < 1e20, "Bad new line separator, e.g. '\\r'"
            if end > 0 and pos > end:
                break
            for word in line.strip('\r\n ').split(' '):
                if word:
                    vocab[word] += 1
            line = f.readline()
    with open(outfile, 'wb') as f:
        pickle.dump(vocab, f) 

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def __init__(self, codes, separator='@@'):            
        
        with codecs.open(codes.name, encoding='utf-8') as codes:
            self.bpe_codes = [tuple(item.split()) for item in codes]
         
        # some hacking to deal with duplicates (only consider first instance)
        self.bpe_codes = dict([(code,i) for (i,code) in reversed(list(enumerate(self.bpe_codes)))])

        self.separator = separator 

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def __init__(self, codes, separator='__'):

        with io.open(codes.name, 'rt', encoding='utf-8') as codes:
            self.bpe_codes = [tuple(item.split()) for item in codes]

        # some hacking to deal with duplicates (only consider first instance)
        self.bpe_codes = dict([(code, i) for (i, code) in reversed(list(enumerate(self.bpe_codes)))])

        self.separator = separator
        self.cache = {} 

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def __init__(self, codes, merges=-1, separator='@@', vocab=None, glossaries=None):

        with codecs.open(codes, encoding="utf-8") as codes:

            # check version information
            firstline = codes.readline()
            if firstline.startswith('#version:'):
                self.version = tuple([int(x) for x in re.sub(r'(\.0+)*$','', firstline.split()[-1]).split(".")])
            else:
                self.version = (0, 1)
                codes.seek(0)

            self.bpe_codes = [tuple(item.split()) for (n, item) in enumerate(codes) if (n < merges or merges == -1)]

        # some hacking to deal with duplicates (only consider first instance)
        self.bpe_codes = dict([(code,i) for (i,code) in reversed(list(enumerate(self.bpe_codes)))])

        self.bpe_codes_reverse = dict([(pair[0] + pair[1], pair) for pair,i in self.bpe_codes.items()])

        self.separator = separator

        self.vocab = vocab

        self.glossaries = glossaries if glossaries else []

        self.cache = {} 

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def process_lines(self, filename, outfile, dropout=0, num_workers=1):

        if sys.version_info < (3, 0):
            print("Parallel mode is only supported in Python3.")
            sys.exit(1)

        if num_workers == 1:
            _process_lines(self, filename, outfile, dropout, 0, 0)
        elif num_workers > 1:
            with open(filename, encoding="utf-8") as f:
                size = os.fstat(f.fileno()).st_size
                chunk_size = int(size / num_workers)
                offsets = [0 for _ in range(num_workers + 1)]
                for i in range(1, num_workers):
                    f.seek(chunk_size * i)
                    pos = f.tell()
                    while True:
                        try:
                            line = f.readline()
                            break
                        except UnicodeDecodeError:
                            pos -= 1
                            f.seek(pos)
                    offsets[i] = f.tell()
                    assert 0 <= offsets[i] < 1e20, "Bad new line separator, e.g. '\\r'"
            res_files = []
            pool = Pool(processes=num_workers)
            for i in range(num_workers):
                tmp = tempfile.NamedTemporaryFile(delete=False)
                tmp.close()
                res_files.append(tmp)
                pool.apply_async(_process_lines, (self, filename, tmp.name, dropout, offsets[i], offsets[i + 1]))
            pool.close()
            pool.join()
            for i in range(num_workers):
                with open(res_files[i].name, encoding="utf-8") as fi:
                    for line in fi:
                        outfile.write(line)
                os.remove(res_files[i].name)
        else:
            raise ValueError('`num_workers` is expected to be a positive number, but got {}.'.format(num_workers)) 

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def learn_joint_bpe_and_vocab(args):

    if args.vocab and len(args.input) != len(args.vocab):
        sys.stderr.write('Error: number of input files and vocabulary files must match\n')
        sys.exit(1)

    # read/write files as UTF-8
    args.input = [codecs.open(f.name, encoding='UTF-8') for f in args.input]
    args.vocab = [codecs.open(f.name, 'w', encoding='UTF-8') for f in args.vocab]

    # get combined vocabulary of all input texts
    full_vocab = Counter()
    for f in args.input:
        full_vocab += learn_bpe.get_vocabulary(f, num_workers=args.num_workers)
        f.seek(0)

    vocab_list = ['{0} {1}'.format(key, freq) for (key, freq) in full_vocab.items()]

    # learn BPE on combined vocabulary
    with codecs.open(args.output.name, 'w', encoding='UTF-8') as output:
        learn_bpe.learn_bpe(vocab_list, output, args.symbols, args.min_frequency, args.verbose, is_dict=True, total_symbols=args.total_symbols)

    with codecs.open(args.output.name, encoding='UTF-8') as codes:
        bpe = apply_bpe.BPE(codes, separator=args.separator)

    # apply BPE to each training corpus and get vocabulary
    for train_file, vocab_file in zip(args.input, args.vocab):

        tmp = tempfile.NamedTemporaryFile(delete=False)
        tmp.close()

        tmpout = codecs.open(tmp.name, 'w', encoding='UTF-8')

        train_file.seek(0)
        bpe.process_lines(train_file.name, tmpout, num_workers=args.num_workers)

        tmpout.close()
        tmpin = codecs.open(tmp.name, encoding='UTF-8')

        vocab = learn_bpe.get_vocabulary(tmpin, num_workers=args.num_workers)
        tmpin.close()
        os.remove(tmp.name)

        for key, freq in sorted(vocab.items(), key=lambda x: x[1], reverse=True):
            vocab_file.write("{0} {1}\n".format(key, freq))
        vocab_file.close() 

# 需要導入模塊: import argparse [as 別名]
# 或者: from argparse import open [as 別名]
def get_vocabulary(fobj, is_dict=False, num_workers=1):
    """Read text and return dictionary that encodes vocabulary
    """
    vocab = Counter()
    if is_dict:
        for i, line in enumerate(fobj):
            try:
                word, count = line.strip('\r\n ').split(' ')
            except:
                print('Failed reading vocabulary file at line {0}: {1}'.format(i, line))
                sys.exit(1)
            vocab[word] += int(count)
    elif num_workers == 1 or fobj.name == '<stdin>':
        if num_workers > 1:
            warnings.warn("In parallel mode, the input cannot be STDIN. Using 1 processor instead.")
        for i, line in enumerate(fobj):
            for word in line.strip('\r\n ').split(' '):
                if word:
                    vocab[word] += 1
    elif num_workers > 1:

        if sys.version_info < (3, 0):
            print("Parallel mode is only supported in Python3.")
            sys.exit(1)

        with open(fobj.name, encoding="utf8") as f:
            size = os.fstat(f.fileno()).st_size
            chunk_size = int(size / num_workers)
            offsets = [0 for _ in range(num_workers + 1)]
            for i in range(1, num_workers):
                f.seek(chunk_size * i)
                pos = f.tell()
                while True:
                    try:
                        line = f.readline()
                        break
                    except UnicodeDecodeError:
                        pos -= 1
                        f.seek(pos)
                offsets[i] = f.tell()
                assert 0 <= offsets[i] < 1e20, "Bad new line separator, e.g. '\\r'"

        vocab_files = []
        pool = Pool(processes=num_workers)
        for i in range(num_workers):
            tmp = tempfile.NamedTemporaryFile(delete=False)
            tmp.close()
            vocab_files.append(tmp)
            pool.apply_async(_get_vocabulary, (fobj.name, tmp.name, offsets[i], offsets[i + 1]))
        pool.close()
        pool.join()
        import pickle
        for i in range(num_workers):
            with open(vocab_files[i].name, 'rb') as f:
                vocab += pickle.load(f)
            os.remove(vocab_files[i].name)
    else:
        raise ValueError('`num_workers` is expected to be a positive number, but got {}.'.format(num_workers))
    return vocab