class documentation

A lazy sequence formed by concatenating a list of lists. This underlying list of lists may itself be lazy. LazyConcatenation maintains an index that it uses to keep track of the relationship between offsets in the concatenated lists and offsets in the sublists.

Method __init__ Undocumented
Method __len__ Return the number of tokens in the corpus file underlying this corpus view.
Method iterate_from Return an iterator that generates the tokens in the corpus file underlying this corpus view, starting at the token number start. If start>=len(self), then this iterator will generate no tokens.
Instance Variable _list Undocumented
Instance Variable _offsets Undocumented

Inherited from AbstractLazySequence:

Method __add__ Return a list concatenating self with other.
Method __contains__ Return true if this list contains value.
Method __eq__ Undocumented
Method __getitem__ Return the i th token in the corpus file underlying this corpus view. Negative indices and spans are both supported.
Method __hash__ No summary
Method __iter__ Return an iterator that generates the tokens in the corpus file underlying this corpus view.
Method __lt__ Undocumented
Method __mul__ Return a list concatenating self with itself count times.
Method __ne__ Undocumented
Method __radd__ Return a list concatenating other with self.
Method __repr__ Return a string representation for this corpus view that is similar to a list's representation; but if it would be more than 60 characters long, it is truncated.
Method __rmul__ Return a list concatenating self with itself count times.
Method count Return the number of times this list contains value.
Method index Return the index of the first occurrence of value in this list that is greater than or equal to start and less than stop. Negative start and stop values are treated like negative slice bounds -- i.e., they count from the end of the list.
Constant _MAX_REPR_SIZE Undocumented
def __init__(self, list_of_lists): (source)

Undocumented

def __len__(self): (source)

Return the number of tokens in the corpus file underlying this corpus view.

def iterate_from(self, start_index): (source)

Return an iterator that generates the tokens in the corpus file underlying this corpus view, starting at the token number start. If start>=len(self), then this iterator will generate no tokens.

Undocumented

_offsets: list[int] = (source)

Undocumented