code: def everygrams(
      sequence,
      min_len=1,
      max_len=-1,
      pad_left=False,
      pad_right=False,
      **kwargs,
  ):
      """
      Returns all possible ngrams generated from a sequence of items, as an iterator.
  
          >>> sent = 'a b c'.split()
  
      New version outputs for everygrams.
          >>> list(everygrams(sent))
          [('a',), ('a', 'b'), ('a', 'b', 'c'), ('b',), ('b', 'c'), ('c',)]
  
      Old version outputs for everygrams.
          >>> sorted(everygrams(sent), key=len)
          [('a',), ('b',), ('c',), ('a', 'b'), ('b', 'c'), ('a', 'b', 'c')]
  
          >>> list(everygrams(sent, max_len=2))
          [('a',), ('a', 'b'), ('b',), ('b', 'c'), ('c',)]
  
      :param sequence: the source data to be converted into ngrams. If max_len is
          not provided, this sequence will be loaded into memory
      :type sequence: sequence or iter
      :param min_len: minimum length of the ngrams, aka. n-gram order/degree of ngram
      :type  min_len: int
      :param max_len: maximum length of the ngrams (set to length of sequence by default)
      :type  max_len: int
      :param pad_left: whether the ngrams should be left-padded
      :type pad_left: bool
      :param pad_right: whether the ngrams should be right-padded
      :type pad_right: bool
      :rtype: iter(tuple)
      """
  
      # Get max_len for padding.
      if max_len == -1:
          try:
              max_len = len(sequence)
          except TypeError:
              sequence = list(sequence)
              max_len = len(sequence)
  
      # Pad if indicated using max_len.
      sequence = pad_sequence(
          sequence, max_len, pad_left, pad_right, **kwargs
      )
  
      # Sliding window to store grams.
      history = list(islice(sequence, max_len))
  
      # Yield ngrams from sequence.
      while history:
          for ngram_len in range(min_len, len(history) + 1):
              yield tuple(history[:ngram_len])
  
          # Append element to history if sequence has more items.
          try:
              history.append(next(sequence))
          except StopIteration:
              pass
  
          del history[0]
  
imports: import inspect
  import locale
  import os
  import pydoc
  import re
  import textwrap
  import unicodedata
  import warnings
  from collections import defaultdict, deque
  from itertools import chain, combinations, islice, tee
  from pprint import pprint
  from urllib.request import HTTPPasswordMgrWithDefaultRealm, ProxyBasicAuthHandler, ProxyDigestAuthHandler, ProxyHandler, build_opener, getproxies, install_opener
  from nltk.collections import *
  from nltk.internals import deprecated, raise_unorderable_types, slice_bounds
label_desc: Use image node_id 31 for calling a global function with example usage: everygrams(sequence, min_len, max_len, pad_left, pad_right) without return types