update fst module docs

Author: bygu4

pyformlang/cfg/cfg.py

@@ -445,7 +445,7 @@ def union(self, other: "CFG") -> "CFG":
         """Makes the union of two CFGs.
 
         Equivalent to:
-            >> cfg0 | cfg1
+            >>> cfg0 | cfg1
 
         Parameters
         ----------
@@ -486,7 +486,7 @@ def concatenate(self, other: "CFG") -> "CFG":
         """Makes the concatenation of two CFGs.
 
         Equivalent to:
-            >> cfg0 + cfg1
+            >>> cfg0 + cfg1
 
         Parameters
         ----------
@@ -564,7 +564,7 @@ def reverse(self) -> "CFG":
         """Reverses the current CFG.
 
         Equivalent to:
-            >> ~cfg
+            >>> ~cfg
 
         Returns
         -------
@@ -651,7 +651,7 @@ def intersection(self, other: DeterministicFiniteAutomaton) -> "CFG":
         """Gets the intersection of the CFG with the given automaton.
 
         Equivalent to:
-            >> cfg & dfa
+            >>> cfg & dfa
 
         Parameters
         ----------
@@ -765,9 +765,6 @@ def _get_all_bodies(production: Production,
     def __and__(self, other: DeterministicFiniteAutomaton) -> "CFG":
         """Gets the intersection of the CFG with the given automaton.
 
-        Equivalent to:
-            >> cfg & dfa
-
         Parameters
         ----------
         other:

pyformlang/fcfg/feature_structure.py

@@ -95,7 +95,7 @@ def add_content_path(self,
         ------
         ContentAlreadyExistsError
             When the feature already exists.
-        PathDoesNotExistsError
+        PathDoesNotExistError
             When the path does not exist.
         """
         to_modify = self.get_feature_by_path(path)
@@ -127,7 +127,7 @@ def get_feature_by_path(self, path: List[str] = None) -> "FeatureStructure":
             return self
         current = self.get_dereferenced()
         if path[0] not in current.content:
-            raise PathDoesNotExistError()
+            raise PathDoesNotExistError
         return current.content[path[0]].get_feature_by_path(path[1:])
 
     def unify(self, other: "FeatureStructure") -> None:
@@ -159,7 +159,7 @@ def unify(self, other: "FeatureStructure") -> None:
             elif other_dereferenced.value is None:
                 other_dereferenced.pointer = current_dereferenced
             else:
-                raise FeatureStructuresNotCompatibleError()
+                raise FeatureStructuresNotCompatibleError
         else:
             other_dereferenced.pointer = current_dereferenced
             for feature in other_dereferenced.content:
@@ -316,14 +316,14 @@ def _preprocess_conditions(conditions: str,
         elif current == "[":
             end_bracket = _find_closing_bracket(conditions, pos)
             if end_bracket == -1:
-                raise ParsingError()
+                raise ParsingError
             current_value = _preprocess_conditions(
                 conditions, pos + 1, end_bracket)
             pos = end_bracket + 1
         elif current == "(":
             end_bracket = _find_closing_bracket(conditions, pos, "(", ")")
             if end_bracket == -1:
-                raise ParsingError()
+                raise ParsingError
             reference = conditions[pos+1: end_bracket]
             pos = end_bracket + 1
         elif current == ",":

pyformlang/finite_automaton/epsilon_nfa.py

@@ -234,7 +234,7 @@ def from_networkx(cls, graph: MultiDiGraph) -> "EpsilonNFA":
         """Imports a networkx graph into an finite state automaton.
 
         The imported graph requires to have the good format, i.e. to come
-        from the function to_networkx.
+        from the function `to_networkx`.
 
         Parameters
         ----------
@@ -543,7 +543,7 @@ def reverse(self) -> "EpsilonNFA":
         """Computes the reversed Epsilon NFA.
 
         Equivalent to:
-            >> ~automaton
+            >>> ~automaton
 
         Returns
         -------

pyformlang/finite_automaton/finite_automaton.py

@@ -480,7 +480,7 @@ def from_networkx(cls, graph: MultiDiGraph) -> "FiniteAutomaton":
         """Import a networkx graph into an finite state automaton.
 
         The imported graph requires to have the good format, i.e. to come
-        from the function to_networkx.
+        from the function `to_networkx`.
 
         Returns
         -------