# 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
             "too","took","toward","towards","tried","tries","truly","try","trying",
             "ts","twice","two","u","un","under","unfortunately","unless","unlike",
             "unlikely","until","unto","up","upon","ups","us","use","used","useful",
             "usefully","usefulness","uses","using","usually","v","value","various","ve",
             "very","via","viz","vol","vols","vs","w","want","wants","was","wasnt","way",
             "we","wed","welcome","well","went","were","werent","weve","what","whatever",
             "whatll","whats","when","whence","whenever","where","whereafter","whereas",
             "whereby","wherein","wheres","whereupon","wherever","whether","which",
             "while","whim","whither","who","whod","whoever","whole","wholl","whom",
             "whomever","whos","whose","why","widely","willing","wish","with","within",
             "without","wont","words","world","would","wouldnt","www","x","y","yes","yet",
             "you","youd","youll","your","youre","yours","yourself","yourselves","youve",
             "z","zero", "isn", "doesn","didn", "couldn", "mustn","shoudn","wasn","woudn",
             "i", "me", "my", "myself", "we", "our", "ours", "ourselves", "you", "your", 
             "yours", "yourself", "yourselves", "he", "him", "his", "himself", "she", "her", 
             "hers", "herself", "it", "its", "itself", "they", "them", "their", "theirs", 
             "themselves", "what", "which", "who", "whom", "this", "that", "these", "those", 
             "am", "is", "are", "was", "were", "be", "been", "being", "have", "has", "had", 
             "having", "do", "does", "did", "doing", "a", "an", "the", "and", "but", "if", 
             "or", "because", "as", "until", "while", "of", "at", "by", "for", "with", 
             "about", "against", "between", "into", "through", "during", "before", "after", 
             "above", "below", "to", "from", "up", "down", "in", "out", "on", "off", 
             "over", "under", "again", "further", "then", "once", "here", "there", "when", 
             "where", "why", "how", "all", "any", "both", "each", "few", "more", "most", 
             "other", "some", "such", "no", "nor", "not", "only", "own", "same", "so", 
             "than", "too", "very", "s", "t", "can", "will", "just", "don", "should", 
             "now", "gonna", "n't", '-lrb-', '-rrb-', "'m", "'ll", "'re", "'s", "'ve", "&amp;"], single=True)

# add nltk, justext and minilist here ...


# 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

             "too","took","toward","towards","tried","tries","truly","try","trying",
             "ts","twice","two","u","un","under","unfortunately","unless","unlike",
             "unlikely","until","unto","up","upon","ups","us","use","used","useful",
             "usefully","usefulness","uses","using","usually","v","value","various","ve",
             "very","via","viz","vol","vols","vs","w","want","wants","was","wasnt","way",
             "we","wed","welcome","well","went","were","werent","weve","what","whatever",
             "whatll","whats","when","whence","whenever","where","whereafter","whereas",
             "whereby","wherein","wheres","whereupon","wherever","whether","which",
             "while","whim","whither","who","whod","whoever","whole","wholl","whom",
             "whomever","whos","whose","why","widely","willing","wish","with","within",
             "without","wont","words","world","would","wouldnt","www","x","y","yes","yet",
             "you","youd","youll","your","youre","yours","yourself","yourselves","youve",
             "z","zero", "isn", "doesn","didn", "couldn", "mustn","shoudn","wasn","woudn",
             "i", "me", "my", "myself", "we", "our", "ours", "ourselves", "you", "your", 
             "yours", "yourself", "yourselves", "he", "him", "his", "himself", "she", "her", 
             "hers", "herself", "it", "its", "itself", "they", "them", "their", "theirs", 
             "themselves", "what", "which", "who", "whom", "this", "that", "these", "those", 
             "am", "is", "are", "was", "were", "be", "been", "being", "have", "has", "had", 
             "having", "do", "does", "did", "doing", "a", "an", "the", "and", "but", "if", 
             "or", "because", "as", "until", "while", "of", "at", "by", "for", "with", 
             "about", "against", "between", "into", "through", "during", "before", "after", 
             "above", "below", "to", "from", "up", "down", "in", "out", "on", "off", 
             "over", "under", "again", "further", "then", "once", "here", "there", "when", 
             "where", "why", "how", "all", "any", "both", "each", "few", "more", "most", 
             "other", "some", "such", "no", "nor", "not", "only", "own", "same", "so", 
             "than", "too", "very", "s", "t", "can", "will", "just", "don", "should", 
             "now", "gonna", "n't", '-lrb-', '-rrb-', "'m", "'ll", "'re", "'s", "'ve", "&amp;"], single=True)

# add nltk, justext and minilist here ...


justtext_stopwords = Wordlist(["the","of","and","in","to","a","was","is","The","for","as","on","with","by",