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