Package sage :: Package linalg :: Module sparse_matrix_pyx :: Class Vector_mpq
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Type Vector_mpq

object --+
         |
        Vector_mpq


Vector_mpq -- a sparse vector of GMP rationals. This is a Python extension type that wraps the C implementation of sparse vectors modulo a small prime.
Method Summary
  __init__(...)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
  __add__(x, y)
x.__add__(y) <==> x+y
  __delitem__(x, y)
x.__delitem__(y) <==> del x[y]
  __eq__(x, y)
x.__eq__(y) <==> x==y
  __ge__(x, y)
x.__ge__(y) <==> x>=y
  __getitem__(x, y)
x.__getitem__(y) <==> x[y]
  __gt__(x, y)
x.__gt__(y) <==> x>y
  __le__(x, y)
x.__le__(y) <==> x<=y
  __lt__(x, y)
x.__lt__(y) <==> x<y
  __mul__(x, y)
x.__mul__(y) <==> x*y
  __ne__(x, y)
x.__ne__(y) <==> x!=y
  __new__(T, S, ...)
T.__new__(S, ...) -> a new object with type S, a subtype of T
  __radd__(x, y)
x.__radd__(y) <==> y+x
  __repr__(x)
x.__repr__() <==> repr(x)
  __rmul__(x, y)
x.__rmul__(y) <==> y*x
  __rsub__(x, y)
x.__rsub__(y) <==> y-x
  __setitem__(x, i, y)
x.__setitem__(i, y) <==> x[i]=y
  __sub__(x, y)
x.__sub__(y) <==> x-y
  cmp(...)
  copy(...)
  degree(...)
  list(...)
  num_nonzero(...)
  randomize(...)
randomize(self, int sparcity, exact=False):
    Inherited from object
  __delattr__(...)
x.__delattr__('name') <==> del x.name
  __getattribute__(...)
x.__getattribute__('name') <==> x.name
  __hash__(x)
x.__hash__() <==> hash(x)
  __reduce__(...)
helper for pickle
  __reduce_ex__(...)
helper for pickle
  __setattr__(...)
x.__setattr__('name', value) <==> x.name = value
  __str__(x)
x.__str__() <==> str(x)

Class Variable Summary
PyCObject __pyx_vtable__ = <PyCObject object at 0xb7ca97e8>

Method Details

__init__(...)
(Constructor)

x.__init__(...) initializes x; see x.__class__.__doc__ for signature
Overrides:
__builtin__.object.__init__

__add__(x, y)
(Addition operator)

x.__add__(y) <==> x+y
Returns:
x+y

__delitem__(x, y)
(Index deletion operator)

x.__delitem__(y) <==> del x[y]
Returns:
del x[y]

__eq__(x, y)
(Equality operator)

x.__eq__(y) <==> x==y
Returns:
x==y

__ge__(x, y)
(Greater-than-or-equals operator)

x.__ge__(y) <==> x>=y
Returns:
x>=y

__getitem__(x, y)
(Indexing operator)

x.__getitem__(y) <==> x[y]
Returns:
x[y]

__gt__(x, y)
(Greater-than operator)

x.__gt__(y) <==> x>y
Returns:
x>y

__le__(x, y)
(Less-than-or-equals operator)

x.__le__(y) <==> x<=y
Returns:
x<=y

__lt__(x, y)
(Less-than operator)

x.__lt__(y) <==> x<y
Returns:
x<y

__mul__(x, y)

x.__mul__(y) <==> x*y
Returns:
x*y

__ne__(x, y)

x.__ne__(y) <==> x!=y
Returns:
x!=y

__new__(T, S, ...)

T.__new__(S, ...) -> a new object with type S, a subtype of T
Returns:
a new object with type S, a subtype of T
Overrides:
__builtin__.object.__new__

__radd__(x, y)
(Right-side addition operator)

x.__radd__(y) <==> y+x
Returns:
y+x

__repr__(x)
(Representation operator)

x.__repr__() <==> repr(x)
Returns:
repr(x)
Overrides:
__builtin__.object.__repr__

__rmul__(x, y)

x.__rmul__(y) <==> y*x
Returns:
y*x

__rsub__(x, y)

x.__rsub__(y) <==> y-x
Returns:
y-x

__setitem__(x, i, y)
(Index assignment operator)

x.__setitem__(i, y) <==> x[i]=y
Returns:
x[i]=y

__sub__(x, y)
(Subtraction operator)

x.__sub__(y) <==> x-y
Returns:
x-y

randomize(...)

randomize(self, int sparcity, exact=False):

The sparcity is a bound on the number of nonzeros per row.

Class Variable Details

__pyx_vtable__

Type:
PyCObject
Value:
<PyCObject object at 0xb7ca97e8>                                       

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