3.9.3. qupulse.utils.sympy

Functions

_cached_sympify(expr, **kwargs)
_float_arr_to_int_arr(float_arr)	Try to cast array to int64.
_floor_to_int(input_value)
_parse_broadcast_index(idx, user)
_parse_broadcast_shape(shape, user)
_recursive_substitution(expression, ...)
almost_equal(lhs, rhs[, epsilon])	Returns True (or False) if the two expressions are almost equal (or not).
evaluate_compiled(expression, parameters[, ...])
evaluate_lambdified(expression, variables, ...)
evaluate_lamdified_exact_rational(...)	Evaluates Rational as TimeType.
get_free_symbols(expression)
get_free_symbols_cache(expression)
get_most_simple_representation(expression)
get_subscripted_symbols(expression)
get_variables(expression)
numpy_compatible_add(*args)
numpy_compatible_ceiling(input_value)
numpy_compatible_mul(*args)
recursive_substitution(expression, substitutions)
substitute_with_eval(expression, substitutions)	Substitutes only sympy.Symbols.
sympify(expr, **kwargs)
sympify_cache(value)	Cache sympify result for all hashable types
to_numpy(sympy_array)

Classes

Broadcast(x, shape)	Broadcast x to the specified shape using numpy.broadcast_to.
HighPrecPrinter([settings])	Custom printer that translates sympy.Rational into TimeType
IndexedBasedFinder()	Acts as a symbol lookup and determines which symbols in an expression a subscripted.
IndexedBroadcast(x, shape, idx)	Broadcast x to the specified shape using numpy.broadcast_to and index in the result.
Len	alias of qupulse.utils.sympy.Len

Exceptions

UnsupportedBroadcastArgumentWarning

qupulse.utils.sympy.evaluate_lambdified(expression: Union[sympy.core.expr.Expr, numpy.ndarray], variables: Sequence[str], parameters: Dict[str, Union[numpy.ndarray, numbers.Number]], lambdified: Optional[Callable]) → Tuple[Any, Any]

qupulse.utils.sympy.get_free_symbols(expression: sympy.core.expr.Expr) → Sequence[sympy.core.symbol.Symbol]

qupulse.utils.sympy.get_most_simple_representation(expression: sympy.core.expr.Expr) → Union[str, int, float]

qupulse.utils.sympy.get_variables(expression: sympy.core.expr.Expr) → Sequence[str]

qupulse.utils.sympy.recursive_substitution(expression: sympy.core.expr.Expr, substitutions: Dict[str, Union[sympy.core.expr.Expr, numpy.ndarray, str]]) → sympy.core.expr.Expr

qupulse.utils.sympy.substitute_with_eval(expression: sympy.core.expr.Expr, substitutions: Dict[str, Union[sympy.core.expr.Expr, numpy.ndarray, str]]) → sympy.core.expr.Expr

Substitutes only sympy.Symbols. Workaround for numpy like array behaviour. ~Factor 3 slower compared to subs

qupulse.utils.sympy.sympify(expr: Union[str, numbers.Number, sympy.core.expr.Expr, numpy.str_], **kwargs) → sympy.core.expr.Expr

qupulse.utils.sympy.to_numpy(sympy_array: sympy.tensor.array.ndim_array.NDimArray) → numpy.ndarray