Return a symbol with the name string given in argument.
Alternatively, the function :func:`symbols` allows to create several symbols at once.
- Symbols are instances of class :class:`LinExpr` and, as such, inherit its functionalities.
+ Symbols are instances of class :class:`LinExpr` and inherit its functionalities.
>>> x = Symbol('x')
>>> x
>>> x, y = symbols(['x', 'y'])
-Sometimes, you need to have a unique symbol, for example as a temporary one in some calculation, which is going to be substituted for something else at the end anyway.
+Sometimes you need to have a unique symbol. For example, you might need a temporary one in some calculation, which is going to be substituted for something else at the end anyway.
This is achieved using ``Dummy('x')``.
.. class:: Dummy(name=None)
- A variation of :class:`Symbol` which are all unique, identified by an internal count index.
+ A variation of :class:`Symbol` in which all symbols are unique and identified by an internal count index.
If a name is not supplied then a string value of the count index will be used.
This is useful when a unique, temporary variable is needed and the name of the variable used in the expression is not important.
.. class:: LinExpr(coefficients=None, constant=0)
LinExpr(string)
- Return a linear expression from a dictionary or a sequence that maps symbols to their coefficients, and a constant term.
- The coefficients and the constant must be rational numbers.
+ Return a linear expression from a dictionary or a sequence, that maps symbols to their coefficients, and a constant term.
+ The coefficients and the constant term must be rational numbers.
For example, the linear expression ``x + 2y + 1`` can be constructed using one of the following instructions:
>>> LinExpr({x: 1, y: 2}, 1)
>>> LinExpr([(x, 1), (y, 2)], 1)
- although it may be easier to use overloaded operators:
+ However, it may be easier to use overloaded operators:
>>> x, y = symbols('x y')
>>> x + 2*y + 1
A linear expression with no symbol, only a constant term, is automatically subclassed as a :class:`Rational` instance.
.. method:: coefficient(symbol)
- __getitem__(symbol)
+ __getitem__(symbol)
Return the coefficient value of the given symbol, or ``0`` if the symbol does not appear in the expression.
As explained below, it is possible to create polyhedra from linear expressions using comparison methods.
.. method:: __lt__(expr)
- __le__(expr)
- __ge__(expr)
- __gt__(expr)
+ __le__(expr)
+ __ge__(expr)
+ __gt__(expr)
Create a new :class:`Polyhedron` instance whose unique constraint is the comparison between two linear expressions.
As an alternative, functions :func:`Lt`, :func:`Le`, :func:`Ge` and :func:`Gt` can be used.
Return the expression multiplied by its lowest common denominator to make all values integer.
.. method:: subs(symbol, expression)
- subs(pairs)
+ subs(pairs)
Substitute the given symbol by an expression and return the resulting expression.
- Raise :exc:`TypeError` is the resulting expression is not linear.
+ Raise :exc:`TypeError` if the resulting expression is not linear.
>>> x, y = symbols('x y')
>>> e = x + 2*y + 1
.. class:: Rational(numerator, denominator=1)
Rational(string)
- The first version requires that *numerator* and *denominator* are instances of :class:`numbers.Rational` and returns a new :class:`Rational` instance with value ``numerator/denominator``.
- If denominator is ``0``, it raises a :exc:`ZeroDivisionError`.
+ The first version requires that the *numerator* and *denominator* are instances of :class:`numbers.Rational` and returns a new :class:`Rational` instance with the value ``numerator/denominator``.
+ If the denominator is ``0``, it raises a :exc:`ZeroDivisionError`.
The other version of the constructor expects a string.
The usual form for this instance is::
[sign] numerator ['/' denominator]
- where the optional ``sign`` may be either '+' or '-' and ``numerator`` and ``denominator`` (if present) are strings of decimal digits.
+ where the optional ``sign`` may be either '+' or '-' and the ``numerator`` and ``denominator`` (if present) are strings of decimal digits.
See the documentation of :class:`fractions.Fraction` for more information and examples.
Polyhedra
---------
-A *convex polyhedron* (or simply polyhedron) is the space defined by a system of linear equalities and inequalities.
+A *convex polyhedron* (or simply "polyhedron") is the space defined by a system of linear equalities and inequalities.
This space can be unbounded.
.. class:: Polyhedron(equalities, inequalities)
>>> square2 = Polyhedron('2 <= x <= 4, 2 <= y <= 4')
>>> Polyhedron(square | square2)
- A polyhedron is a :class:`Domain` instance, and, as such, inherits the functionalities of this class.
+ A polyhedron is a :class:`Domain` instance, and, therefore, inherits the functionalities of this class.
It is also a :class:`GeometricObject` instance.
.. attribute:: equalities
.. method:: widen(polyhedron)
- Compute the standard widening of two polyhedra, à la Halbwachs.
+ Compute the *standard widening* of two polyhedra, à la Halbwachs.
.. data:: Empty
.. attribute:: symbols
- The tuple of symbols present in the domain expression, sorted according to :meth:`Symbol.sortkey`.
+ The tuple of symbols present in the domain equations, sorted according to :meth:`Symbol.sortkey`.
.. attribute:: dimension
.. method:: __contains__(point)
- Return ``True`` if the :class:`Point` is contained within the domain.
+ Return ``True`` if the point is contained within the domain.
.. method:: faces()
Comparison and Logic Operators
------------------------------
-The following functions allow to create :class:`Polyhedron` or :class:`Domain` instances by comparison of :class:`LinExpr` instances:
+The following functions create :class:`Polyhedron` or :class:`Domain` instances using the comparisons of two or more :class:`LinExpr` instances:
.. function:: Lt(expr1, expr2[, expr3, ...])
Create the polyhedron with constraints ``expr1 > expr2 > expr3 ...``.
-The following functions allow to combine :class:`Polyhedron` or :class:`Domain` instances using logic operators:
+The following functions combine :class:`Polyhedron` or :class:`Domain` instances using logic operators:
.. function:: Or(domain1, domain2[, ...])
- Create the union domain of domains given in arguments.
+ Create the union domain of the domains given in arguments.
.. function:: And(domain1, domain2[, ...])
- Create the intersection domain of domains given in arguments.
+ Create the intersection domain of the domains given in arguments.
.. function:: Not(domain)
.. class:: Point(coordinates)
- Create a point from a dictionnary or a sequence that maps symbols to their coordinates.
+ Create a point from a dictionary or a sequence that maps the symbols to their coordinates.
Coordinates must be rational numbers.
For example, the point ``(x: 1, y: 2)`` can be constructed using one of the following instructions:
>>> p = Point({x: 1, y: 2})
>>> p = Point([(x, 1), (y, 2)])
- :class:`Point` instances are hashable, and should be treated as immutable.
+ :class:`Point` instances are hashable and should be treated as immutable.
A point is a :class:`GeometricObject` instance.
The dimension of the point, i.e. the number of symbols present in it.
.. method:: coordinate(symbol)
- __getitem__(symbol)
+ __getitem__(symbol)
Return the coordinate value of the given symbol.
Raise :exc:`KeyError` if the symbol is not involved in the point.
.. method:: __add__(vector)
- Translate the point by a :class:`Vector` instance and return the resulting point.
+ Translate the point by a :class:`Vector` object and return the resulting point.
.. method:: __sub__(point)
- __sub__(vector)
+ __sub__(vector)
- The first version substract a point from another and return the resulting vector.
+ The first version substracts a point from another and returns the resulting vector.
The second version translates the point by the opposite vector of *vector* and returns the resulting point.
.. method:: __eq__(point)
.. class:: Vector(coordinates)
+ Vector(point1, point2)
- Create a point from a dictionnary or a sequence that maps symbols to their coordinates, similarly to :meth:`Point`.
- Coordinates must be rational numbers.
+ The first version creates a vector from a dictionary or a sequence that maps the symbols to their coordinates, similarly to :meth:`Point`.
+ The second version creates a vector between two points.
- :class:`Vector` instances are hashable, and should be treated as immutable.
+ :class:`Vector` instances are hashable and should be treated as immutable.
.. attribute:: symbols
The dimension of the point, i.e. the number of symbols present in it.
.. method:: coordinate(symbol)
- __getitem__(symbol)
+ __getitem__(symbol)
Return the coordinate value of the given symbol.
Raise :exc:`KeyError` if the symbol is not involved in the point.
Return ``True`` if not all coordinates are ``0``.
.. method:: __add__(point)
- __add__(vector)
+ __add__(vector)
The first version translates the point *point* to the vector and returns the resulting point.
The second version adds vector *vector* to the vector and returns the resulting vector.
.. method:: __sub__(point)
- __sub__(vector)
+ __sub__(vector)
The first version substracts a point from a vector and returns the resulting point.
The second version returns the difference vector between two vectors.
Return the opposite vector.
+ .. method:: __mul__(value)
+
+ Multiply the vector by a scalar value and return the resulting vector.
+
+ .. method:: __truediv__(value)
+
+ Divide the vector by a scalar value and return the resulting vector.
+
+ .. method:: __eq__(vector)
+
+ Test whether two vectors are equal.
+
.. method:: angle(vector)
Retrieve the angle required to rotate the vector into the vector passed in argument.
Compute the dot product of two vectors.
- .. method:: __eq__(vector)
-
- Test whether two vectors are equal.
-
- .. method:: __mul__(value)
-
- Multiply the vector by a scalar value and return the resulting vector.
-
- .. method:: __truediv__(value)
-
- Divide the vector by a scalar value and return the resulting vector.
-
.. method:: norm()
Return the norm of the vector.
.. method:: norm2()
- Return the square norm of the vector.
+ Return the squared norm of the vector.
.. method:: asunit()
projects / linpy.git / blobdiff