def __new__(cls, *args, **hints):
if not len(args) == 6:
raise ValueError('6 parameters expected, got %s' % args)
evaluate = hints.get('evaluate', False)
if evaluate:
return AtomicExpr.__new__(cls, *args)._eval_wignerd()
return AtomicExpr.__new__(cls, *args, **{'evaluate': False})
def __new__(cls, *args, **hints):
if not len(args) == 6:
raise ValueError("6 parameters expected, got %s" % args)
evaluate = hints.get("evaluate", False)
if evaluate:
return AtomicExpr.__new__(cls, *args)._eval_wignerd()
return AtomicExpr.__new__(cls, *args, **{"evaluate": False})
def __new__(cls, name, dimension, scale_factor=S.One, abbrev=None, **assumptions):
if not isinstance(name, Symbol):
name = Symbol(name)
if not isinstance(dimension, dimensions.Dimension):
if dimension == 1:
dimension = Dimension(1)
else:
raise ValueError("expected dimension or 1")
scale_factor = sympify(scale_factor)
dimex = Quantity.get_dimensional_expr(scale_factor)
if dimex != 1:
if dimension != Dimension(dimex):
raise ValueError("quantity value and dimension mismatch")
# replace all prefixes by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Prefix), lambda x: x.scale_factor)
# replace all quantities by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Quantity), lambda x: x.scale_factor)
if abbrev is None:
abbrev = name
elif isinstance(abbrev, string_types):
abbrev = Symbol(abbrev)
obj = AtomicExpr.__new__(cls, name, dimension, scale_factor, abbrev)
obj._name = name
obj._dimension = dimension
obj._scale_factor = scale_factor
obj._abbrev = abbrev
return obj
def __new__(cls, name, dimension, scale_factor=S.One, abbrev=None, **assumptions):
if not isinstance(name, Symbol):
name = Symbol(name)
if not isinstance(dimension, dimensions.Dimension):
if dimension == 1:
dimension = Dimension(1)
else:
raise ValueError("expected dimension or 1")
scale_factor = sympify(scale_factor)
dimex = Quantity.get_dimensional_expr(scale_factor)
if dimex != 1:
if dimension != Dimension(dimex):
raise ValueError("quantity value and dimension mismatch")
# replace all prefixes by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Prefix), lambda x: x.scale_factor)
# replace all quantities by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Quantity), lambda x: x.scale_factor)
if abbrev is None:
abbrev = name
elif isinstance(abbrev, string_types):
abbrev = Symbol(abbrev)
obj = AtomicExpr.__new__(cls, name, dimension, scale_factor, abbrev)
obj._name = name
obj._dimension = dimension
obj._scale_factor = scale_factor
obj._abbrev = abbrev
return obj
def __new__(cls, value, name, latex="", pretty=""):
"""
Parameters
----------
value : float
The numerical value of the constant
name : string
Used to render the symbol when calling print()
latex (optional) : string
Latex code representing representing this constant. If not
provided, `name` will be used instead.
pretty (optional) : string
Used to render the symbol when calling pprint(). Unicode strings
are admissible. If not provided, `name` will be used instead.
"""
if isinstance(value, Integer):
value = value.p
if not isinstance(value, (int, float)):
raise TypeError("'value' must be a Python's int or float. \n" +
"Instead, got {}".format(type(value)))
if not all([isinstance(a, str) for a in [name, latex, pretty]]):
raise TypeError(
"Parameters name, latex, pretty must be of type string")
obj = AtomicExpr.__new__(cls)
obj._value = value
obj._name = name
obj._latex_str = latex
obj._pretty_str = pretty
return obj
def __new__(cls,
name,
abbrev=None,
dimension=None,
scale_factor=None,
latex_repr=None,
pretty_unicode_repr=None,
pretty_ascii_repr=None,
mathml_presentation_repr=None,
**assumptions):
if not isinstance(name, Symbol):
name = Symbol(name)
# For Quantity(name, dim, scale, abbrev) to work like in the
# old version of Sympy:
if not isinstance(abbrev, string_types) and not \
isinstance(abbrev, Symbol):
dimension, scale_factor, abbrev = abbrev, dimension, scale_factor
if dimension is not None:
SymPyDeprecationWarning(
deprecated_since_version="1.3",
issue=14319,
feature="Quantity arguments",
useinstead="SI_quantity_dimension_map",
).warn()
if scale_factor is not None:
SymPyDeprecationWarning(
deprecated_since_version="1.3",
issue=14319,
feature="Quantity arguments",
useinstead="SI_quantity_scale_factors",
).warn()
if abbrev is None:
abbrev = name
elif isinstance(abbrev, string_types):
abbrev = Symbol(abbrev)
obj = AtomicExpr.__new__(cls, name, abbrev)
obj._name = name
obj._abbrev = abbrev
obj._latex_repr = latex_repr
obj._unicode_repr = pretty_unicode_repr
obj._ascii_repr = pretty_ascii_repr
obj._mathml_repr = mathml_presentation_repr
if dimension is not None:
# TODO: remove after deprecation:
obj.set_dimension(dimension)
if scale_factor is not None:
# TODO: remove after deprecation:
obj.set_scale_factor(scale_factor)
return obj
def __new__(cls,
name,
dimension,
scale_factor=S.One,
abbrev=None,
dim_sys=dimsys_default,
**assumptions):
if not isinstance(name, Symbol):
name = Symbol(name)
if not isinstance(dim_sys, DimensionSystem):
raise TypeError("%s is not a DimensionSystem" % dim_sys)
if not isinstance(dimension, dimensions.Dimension):
if dimension == 1:
dimension = Dimension(1)
else:
raise ValueError("expected dimension or 1")
else:
for dim_sym in dimension.name.atoms(Dimension):
if dim_sym not in [
i.name for i in dim_sys._dimensional_dependencies
]:
raise ValueError("Dimension %s is not registered in the "
"dimensional dependency tree." % dim_sym)
scale_factor = sympify(scale_factor)
dimex = Quantity.get_dimensional_expr(scale_factor)
if dimex != 1:
if not dim_sys.equivalent_dims(dimension, Dimension(dimex)):
raise ValueError("quantity value and dimension mismatch")
# replace all prefixes by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Prefix),
lambda x: x.scale_factor)
# replace all quantities by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Quantity),
lambda x: x.scale_factor)
if abbrev is None:
abbrev = name
elif isinstance(abbrev, string_types):
abbrev = Symbol(abbrev)
obj = AtomicExpr.__new__(cls, name, dimension, scale_factor, abbrev)
obj._name = name
obj._dimension = dimension
obj._scale_factor = scale_factor
obj._dim_sys = dim_sys
obj._abbrev = abbrev
return obj
def __new__(cls, name, abbrev=None, dimension=None, scale_factor=None,
latex_repr=None, pretty_unicode_repr=None,
pretty_ascii_repr=None, mathml_presentation_repr=None,
**assumptions):
if not isinstance(name, Symbol):
name = Symbol(name)
# For Quantity(name, dim, scale, abbrev) to work like in the
# old version of Sympy:
if not isinstance(abbrev, string_types) and not \
isinstance(abbrev, Symbol):
dimension, scale_factor, abbrev = abbrev, dimension, scale_factor
if dimension is not None:
SymPyDeprecationWarning(
deprecated_since_version="1.3",
issue=14319,
feature="Quantity arguments",
useinstead="SI_quantity_dimension_map",
).warn()
if scale_factor is not None:
SymPyDeprecationWarning(
deprecated_since_version="1.3",
issue=14319,
feature="Quantity arguments",
useinstead="SI_quantity_scale_factors",
).warn()
if abbrev is None:
abbrev = name
elif isinstance(abbrev, string_types):
abbrev = Symbol(abbrev)
obj = AtomicExpr.__new__(cls, name, abbrev)
obj._name = name
obj._abbrev = abbrev
obj._latex_repr = latex_repr
obj._unicode_repr = pretty_unicode_repr
obj._ascii_repr = pretty_ascii_repr
obj._mathml_repr = mathml_presentation_repr
if dimension is not None:
# TODO: remove after deprecation:
obj.set_dimension(dimension)
if scale_factor is not None:
# TODO: remove after deprecation:
obj.set_scale_factor(scale_factor)
return obj
def __new__(cls, name, dimension, scale_factor=S.One, abbrev=None, dim_sys=dimsys_default, **assumptions):
if not isinstance(name, Symbol):
name = Symbol(name)
if not isinstance(dim_sys, DimensionSystem):
raise TypeError("%s is not a DimensionSystem" % dim_sys)
if not isinstance(dimension, dimensions.Dimension):
if dimension == 1:
dimension = Dimension(1)
else:
raise ValueError("expected dimension or 1")
else:
for dim_sym in dimension.name.atoms(Dimension):
if dim_sym not in [i.name for i in dim_sys._dimensional_dependencies]:
raise ValueError("Dimension %s is not registered in the "
"dimensional dependency tree." % dim_sym)
scale_factor = sympify(scale_factor)
dimex = Quantity.get_dimensional_expr(scale_factor)
if dimex != 1:
if not dim_sys.equivalent_dims(dimension, Dimension(dimex)):
raise ValueError("quantity value and dimension mismatch")
# replace all prefixes by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Prefix), lambda x: x.scale_factor)
# replace all quantities by their ratio to canonical units:
scale_factor = scale_factor.replace(lambda x: isinstance(x, Quantity), lambda x: x.scale_factor)
if abbrev is None:
abbrev = name
elif isinstance(abbrev, string_types):
abbrev = Symbol(abbrev)
obj = AtomicExpr.__new__(cls, name, dimension, scale_factor, abbrev)
obj._name = name
obj._dimension = dimension
obj._scale_factor = scale_factor
obj._dim_sys = dim_sys
obj._abbrev = abbrev
return obj
def __new__(cls, name, abbrev=None, dimension=None, scale_factor=None, **assumptions):
if not isinstance(name, Symbol):
name = Symbol(name)
if dimension is not None:
SymPyDeprecationWarning(
deprecated_since_version="1.3",
issue=14319,
feature="Quantity arguments",
useinstead="SI_quantity_dimension_map",
).warn()
if scale_factor is not None:
SymPyDeprecationWarning(
deprecated_since_version="1.3",
issue=14319,
feature="Quantity arguments",
useinstead="SI_quantity_scale_factors",
).warn()
if abbrev is None:
abbrev = name
elif isinstance(abbrev, string_types):
abbrev = Symbol(abbrev)
obj = AtomicExpr.__new__(cls, name, abbrev)
obj._name = name
obj._abbrev = abbrev
if dimension is not None:
# TODO: remove after deprecation:
obj.set_dimension(dimension)
if scale_factor is not None:
# TODO: remove after deprecation:
obj.set_scale_factor(scale_factor)
return obj