Source code for mxnet.contrib.text.utils

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.

# coding: utf-8

"""Provide utilities for text data processing."""
from __future__ import absolute_import
from __future__ import print_function

import collections
import re


[docs]def count_tokens_from_str(source_str, token_delim=' ', seq_delim='\n', to_lower=False, counter_to_update=None): """Counts tokens in the specified string. For token_delim='' and seq_delim='', a specified string of two sequences of tokens may look like:: token1token2token3token4token5 Parameters ---------- source_str : str A source string of tokens. token_delim : str, default ' ' A token delimiter. seq_delim : str, default '\\\\n' A sequence delimiter. to_lower : bool, default False Whether to convert the source source_str to the lower case. counter_to_update : collections.Counter or None, default None The collections.Counter instance to be updated with the token counts of `source_str`. If None, return a new collections.Counter instance counting tokens from `source_str`. Returns ------- collections.Counter The `counter_to_update` collections.Counter instance after being updated with the token counts of `source_str`. If `counter_to_update` is None, return a new collections.Counter instance counting tokens from `source_str`. Examples -------- >>> source_str = ' Life is great ! \\n life is good . \\n' >>> count_tokens_from_str(token_line, ' ', '\\n', True) Counter({'!': 1, '.': 1, 'good': 1, 'great': 1, 'is': 2, 'life': 2}) """ source_str = filter(None, re.split(token_delim + '|' + seq_delim, source_str)) if to_lower: source_str = [t.lower() for t in source_str] if counter_to_update is None: return collections.Counter(source_str) else: counter_to_update.update(source_str) return counter_to_update