def __init__(self, p):
if not p.is_prime():
raise ValueError("p must be a prime number")
self._p = p
Parent_inexact.__init__(self, self, QQpApprox(p))
from ZZp import ZZp
injectQQ = pAdicCoersion(QQ, self)
injectZp = pAdicCoersion(ZZp(p), self)
self._populate_coercion_lists_(coerce_list=[injectQQ,injectZp])
def __init__(self, p, capped_relative=None, capped_absolute=None, truncate_precision=20):
if not p.is_prime():
raise ValueError("p must be a prime number")
self._p = p
Parent_inexact.__init__(self, self, QQpApprox(p), capped_relative, capped_absolute)
self._truncate_precision = truncate_precision
injectZZ = pAdicCoersion(ZZ, self)
self._populate_coercion_lists_(coerce_list=[injectZZ])
from lazy import LazyApproximation_padics
self._lazy_class = LazyApproximation_padics
def __init__(self, base_ring, nrows, ncols, element_class):
self._matrix_class = element_class
approximation = MatrixSpaceApprox(base_ring.approximation(), nrows, ncols)
self._nrows = approximation.nrows()
self._ncols = approximation.ncols()
models = DiGraph({FlatBigOh_matrix: [JaggedBigOh_matrix]})
Parent_inexact.__init__(self, base_ring, approximation, models)
inject = BaseringInjection(self,self._matrix_class)
self._populate_coercion_lists_(coerce_list=[inject])
self._exact_precision = JaggedBigOh_matrix(self._precision, Infinity)
def __init__(self, base_ring, name=None, names=None, element_class=None):
if names is None:
names = name
if names is None:
raise ValueError("You must specify a variable name")
if element_class:
self._polynomial_class = element_class
else:
from polynomial_element import Polynomial_inexact
self._polynomial_class = Polynomial_inexact
approximation = PolynomialRingApprox(base_ring.approximation(), name=names)
models = DiGraph({FlatIntervalBigOh_polynomial: [NewtonBigOh_polynomial], JaggedBigOh_polynomial: [NewtonBigOh_polynomial]})
Parent_inexact.__init__(self, base_ring, approximation, models, exact=[], names=names)
self._generator = self._polynomial_class(self,[base_ring.zero(),base_ring.one()])
inject = BaseringInjection(self,self._polynomial_class)
self._populate_coercion_lists_(coerce_list=[inject])
