Collinearity
- class Coll
Bases:
Predicate
coll A B C … - Represent that the 3 (or more) points in the arguments are collinear.
-
NAME:
str
= 'coll'
- classmethod preparse(args)
- classmethod parse(args, dep_graph)
- classmethod check_numerical(statement)
- Return type:
bool
- classmethod check(statement)
Hypothesis : the numercial test is passed
- Return type:
bool
- classmethod why(statement)
Hypothesis : the numercial test is passed This function should only be giving one same dependency, which is the implicit dependency used in the first check success.
- Return type:
- classmethod add(dep)
- classmethod to_constructive(point, args)
- Return type:
str
- classmethod pretty(statement)
Write the predicate in a natural language.
- Return type:
str
- classmethod to_tokens(args)
- Return type:
tuple
[str
,...
]
- classmethod draw(ax, args, dep_graph, rng)
-
NAME:
- class NColl
Bases:
Predicate
ncoll A B C … - Represent that any of the 3 (or mo}re) points is not aligned with the others.
Numerical only.
-
NAME:
str
= 'ncoll'
- classmethod preparse(args)
- Return type:
Optional
[tuple
[str
,...
]]
- classmethod parse(args, dep_graph)
- Return type:
Optional
[tuple
[Any
,...
]]
- classmethod check_numerical(statement)
- Return type:
bool
- classmethod check(statement)
Hypothesis : the numercial test is passed
- Return type:
bool
- classmethod why(statement)
Hypothesis : the numercial test is passed This function should only be giving one same dependency, which is the implicit dependency used in the first check success.
- Return type:
- classmethod pretty(statement)
Write the predicate in a natural language.
- Return type:
str
-
NAME: