# Path: corpkit/dictionaries/process_types.py
# class Wordlist(list):
#     """A list of words, containing a `words` attribute and a `lemmata` attribute"""
#     
#     def __init__(self, data, **kwargs):
#         self.data = data
#         self.kwargs = kwargs
#         super(Wordlist, self).__init__(self.data)
# 
#     # make slice also return wordlist
# 
#     @lazyprop
#     def words(self):
#         """get inflections"""
#         if not self.kwargs.get('single'):
#             return Wordlist(add_verb_inflections(get_both_spellings(self.data)), single=True)
#         else:
#             return
# 
#     @lazyprop
#     def lemmata(self):
#         """show base forms of verbs"""
#         if not self.kwargs.get('single'):
#             return Wordlist(get_both_spellings(self.data), single=True)
#         else:
#             return
# 
#     def as_regex(self, boundaries='w', case_sensitive=False, inverse=False, compile=False):
#         """
#         Turn list into regular expression matching any item in list
#         """
#         from corpkit.other import as_regex
#         return as_regex(get_both_spellings(self.data),
#                         boundaries=boundaries,
#                         case_sensitive=case_sensitive,
#                         inverse=inverse,
#                         compile=compile)          


from corpkit.dictionaries.process_types import Wordlist
             "e","each","ed","edu","effect","eg","eight","eighty","either","else",
             "elsewhere","end","ending","enough","especially","et","et-al","etc","even",
             "ever","every","everybody","everyone","everything","everywhere","ex",
             "except","f","far","few","ff","fifth","first","five","fix","followed",
             "following","follows","for","former","formerly","forth","found","four",
             "from","further","furthermore","going","g","gave","get","gets","getting",
             "give","given","gives","giving","go","goes","gone","got","gotten","h",
             "had","happens","hardly","has","hasnt","have","havent","having","he",
             "hed","hence","her","here","hereafter","hereby","herein","heres",
             "hereupon","hers","herself","hes","hi","hid","him","himself","his",
             "hither","home","how","howbeit","however","hundred","i","id","ie",
             "if","ill","im","immediate","immediately","importance","important",
             "in","inc","indeed","index","information","instead","into","invention",
             "inward","is","isnt","it","itd","itll","its","itself","ive","j","just",
             "k","keep","keeps","kept","keys","kg","km","know","known","knows",
             "l","largely","last","lately","later","latter","latterly","least","less",
             "lest","let","lets","like","liked","likely","line","little","ll","look",
             "looking","looks","ltd","m","made","mainly","make","makes","many","may",
             "maybe","me","mean","means","meantime","meanwhile","merely","mg","might",
             "million","miss","ml","more","moreover","most","mostly","mr","mrs","much",
             "mug","must","my","myself","n","na","name","namely","nay","nd","near",
             "nearly","necessarily","necessary","need","needs","neither","never",
             "nevertheless","new","next","nine","ninety","no","nobody","non","none",
             "nonetheless","noone","nor","normally","nos","not","noted","nothing",
             "now","nowhere","o","obtain","obtained","obviously","of","off","often",
             "oh","ok","okay","old","omitted","on","once","one","ones","only","onto",
             "or","ord","other","others","otherwise","ought","our","ours","ourselves",
             "out","outside","over","overall","owing","own","p","page","pages","part",
             "particular","particularly","past","per","perhaps","placed","please",
             "plus","poorly","possible","possibly","potentially","pp","predominantly",

# Path: corpkit/dictionaries/process_types.py
# class Wordlist(list):
#     """A list of words, containing a `words` attribute and a `lemmata` attribute"""
#     
#     def __init__(self, data, **kwargs):
#         self.data = data
#         self.kwargs = kwargs
#         super(Wordlist, self).__init__(self.data)
# 
#     # make slice also return wordlist
# 
#     @lazyprop
#     def words(self):
#         """get inflections"""
#         if not self.kwargs.get('single'):
#             return Wordlist(add_verb_inflections(get_both_spellings(self.data)), single=True)
#         else:
#             return
# 
#     @lazyprop
#     def lemmata(self):
#         """show base forms of verbs"""
#         if not self.kwargs.get('single'):
#             return Wordlist(get_both_spellings(self.data), single=True)
#         else:
#             return
# 
#     def as_regex(self, boundaries='w', case_sensitive=False, inverse=False, compile=False):
#         """
#         Turn list into regular expression matching any item in list
#         """
#         from corpkit.other import as_regex
#         return as_regex(get_both_spellings(self.data),
#                         boundaries=boundaries,
#                         case_sensitive=case_sensitive,
#                         inverse=inverse,
#                         compile=compile)          


# Path: corpkit/dictionaries/stopwords.py
from corpkit.dictionaries.process_types import Wordlist

             "e","each","ed","edu","effect","eg","eight","eighty","either","else",
             "elsewhere","end","ending","enough","especially","et","et-al","etc","even",
             "ever","every","everybody","everyone","everything","everywhere","ex",
             "except","f","far","few","ff","fifth","first","five","fix","followed",
             "following","follows","for","former","formerly","forth","found","four",
             "from","further","furthermore","going","g","gave","get","gets","getting",
             "give","given","gives","giving","go","goes","gone","got","gotten","h",
             "had","happens","hardly","has","hasnt","have","havent","having","he",
             "hed","hence","her","here","hereafter","hereby","herein","heres",
             "hereupon","hers","herself","hes","hi","hid","him","himself","his",
             "hither","home","how","howbeit","however","hundred","i","id","ie",
             "if","ill","im","immediate","immediately","importance","important",
             "in","inc","indeed","index","information","instead","into","invention",
             "inward","is","isnt","it","itd","itll","its","itself","ive","j","just",
             "k","keep","keeps","kept","keys","kg","km","know","known","knows",
             "l","largely","last","lately","later","latter","latterly","least","less",
             "lest","let","lets","like","liked","likely","line","little","ll","look",
             "looking","looks","ltd","m","made","mainly","make","makes","many","may",
             "maybe","me","mean","means","meantime","meanwhile","merely","mg","might",
             "million","miss","ml","more","moreover","most","mostly","mr","mrs","much",
             "mug","must","my","myself","n","na","name","namely","nay","nd","near",
             "nearly","necessarily","necessary","need","needs","neither","never",
             "nevertheless","new","next","nine","ninety","no","nobody","non","none",
             "nonetheless","noone","nor","normally","nos","not","noted","nothing",
             "now","nowhere","o","obtain","obtained","obviously","of","off","often",
             "oh","ok","okay","old","omitted","on","once","one","ones","only","onto",
             "or","ord","other","others","otherwise","ought","our","ours","ourselves",
             "out","outside","over","overall","owing","own","p","page","pages","part",
             "particular","particularly","past","per","perhaps","placed","please",
             "plus","poorly","possible","possibly","potentially","pp","predominantly",

             "present","previously","primarily","probably","promptly","proud","provides",