neurolang.frontend.drs.chart_parser module

class neurolang.frontend.drs.chart_parser.Chart(iterable=(), /)

Bases: list

Methods

append(object, /)	Append object to the end of the list.
clear(/)	Remove all items from list.
copy(/)	Return a shallow copy of the list.
count(value, /)	Return number of occurrences of value.
extend(iterable, /)	Extend list by appending elements from the iterable.
index(value[, start, stop])	Return first index of value.
insert(index, object, /)	Insert object before index.
pop([index])	Remove and return item at index (default last).
remove(value, /)	Remove first occurrence of value.
reverse(/)	Reverse IN PLACE.
sort(*[, key, reverse])	Sort the list in ascending order and return None.

class neurolang.frontend.drs.chart_parser.ChartParser(grammar, lexicon)

Bases: object

Methods

Edge(head, rule, completed, remaining, ...)

Attributes:

parse
recognize

class Edge(head, rule, completed, remaining, used_edges, unification)

Bases: tuple

Attributes:

completed

Alias for field number 2

head

Alias for field number 0

remaining

Alias for field number 3

rule

Alias for field number 1

unification

Alias for field number 5

used_edges

Alias for field number 4

Methods

count(value, /)	Return number of occurrences of value.
index(value[, start, stop])	Return first index of value.

completed

Alias for field number 2

head

Alias for field number 0

remaining

Alias for field number 3

rule

Alias for field number 1

unification

Alias for field number 5

used_edges

Alias for field number 4

parse(string)

recognize(string)

class neurolang.frontend.drs.chart_parser.DictLexicon(d)

Bases: Lexicon

Convenience implementation of lexicon over dict

Methods

get_meanings

get_meanings(token)

class neurolang.frontend.drs.chart_parser.Grammar(rules)

Bases: Expression

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.frontend.drs.chart_parser.Lexicon

Bases: object

Methods

get_meanings

get_meanings(word)

class neurolang.frontend.drs.chart_parser.RootRule(head, constituents)

Bases: Rule

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.frontend.drs.chart_parser.Rule(head, constituents)

Bases: Expression

Methods

__call__(*args, **kwargs)	Call self as a function.
apply(*args)	Builds a new expression using a tuple of its parameters
type
unapply()	Returns a tuple of parameters used to build the expression.

cast
change_type
get_wrapped_attribute

type = typing.Any

class neurolang.frontend.drs.chart_parser.Tokenizer(grammar, quotes=['`', '"'])

Bases: object

Methods

next_token
tokenize
yield_comma
yield_quote
yield_word

next_token(text)

tokenize(string)

yield_comma(span)

yield_quote(q)

yield_word(span)