Python sympy_parser.parse_expr方法代碼示例

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def parse_unyt_expr(unit_expr):
    if not unit_expr:
        # Bug catch...
        # if unit_expr is an empty string, parse_expr fails hard...
        unit_expr = "1"
    # Avoid a parse error if someone uses the percent unit and the
    # parser tries to interpret it as the modulo operator
    unit_expr = unit_expr.replace("%", "percent")
    unit_expr = unit_expr.replace("°", "deg")
    try:
        unit_expr = parse_expr(
            unit_expr, global_dict=global_dict, transformations=unit_text_transform
        )
    except Exception as e:
        msg = "Unit expression '%s' raised an error during parsing:\n%s" % (
            unit_expr,
            repr(e),
        )
        raise UnitParseError(msg)
    return unit_expr 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def convert_to_function(string: str, scale_by_k=False):
    """Using the sympy module, parse string input
    into a mathematical expression.
    Returns the original string, the latexified string,
    the mathematical expression in terms of sympy symbols,
    and a lambdified function
    """
    string = string.replace("^", "**")
    symbolic_function = parse_expr(string)
    if scale_by_k:
        latexstring = latex(symbolic_function*abc.k)
    else:
        latexstring = latex(symbolic_function)
    lambda_function = lambdify(abc.x, symbolic_function,
                               modules=module_list)
    string = string.replace('*', '')
    latexstring = "$" + latexstring + "$"
    return string, latexstring, \
           symbolic_function, lambda_function 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def string_to_sympy(s):
    """Convert any string to a sympy object or None."""
    if isinstance(s, int):
        return sympy.Integer(s)
    elif isinstance(s, list):
        return tuple([string_to_sympy(e) for e in s])
    elif s is None:
        return None
    else:
        # Step 1 build expression with the whole alphabet redefined:
        local_dict = {c: symbol_pos_int(c) for c in s if c in string.ascii_letters}
        # TODO find nicer solution for N and other pre-mapped letters
        preliminary_expr = parse_expr(s, local_dict=local_dict)
        # Replace all free symbols with positive integer versions:
        local_dict.update(
            {s.name: symbol_pos_int(s.name) for s in preliminary_expr.free_symbols})
        return parse_expr(s, local_dict=local_dict) 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def parse_perfmetric(metric):
        """Return (sympy expressions, event names and symbols dict) from performance metric str."""
        # Find all perfs counter references
        perfcounters = re.findall(r'[A-Z0-9_]+:[A-Z0-9\[\]|\-]+(?::[A-Za-z0-9\-_=]+)*', metric)

        # Build a temporary metric, with parser-friendly Symbol names
        temp_metric = metric
        temp_pc_names = {"SYM{}".format(re.sub("[\[\]\-|=:]", "_", pc)): pc
                         for i, pc in enumerate(perfcounters)}
        for var_name, pc in temp_pc_names.items():
            temp_metric = temp_metric.replace(pc, var_name)
        # Parse temporary expression
        expr = parse_expr(temp_metric)

        # Rename symbols to originals
        for s in expr.free_symbols:
            if s.name in temp_pc_names:
                s.name = temp_pc_names[str(s)]

        events = {s: MachineModel.parse_perfctr_event(s.name) for s in expr.free_symbols
                  if s.name in perfcounters}

        return expr, events 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def test_parse(self):
        from sympy.parsing.sympy_parser import parse_expr
        assert parse_expr('x^2') == ts.parse_expression('x^2') 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def parse_expression(expr):
    '''Parse string as sympy expression
    Args:
        expr (string): string to convert to sympy expression
    '''
    return parse_expr(expr, transformations=(_st + (_ima,))) 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def __init__(self,
                 expression: str,
                 optimization: bool = False,
                 mct_mode: str = 'basic') -> None:
        """
        Args:
            expression: The string of the desired logical expression.
                It could be either in the DIMACS CNF format,
                or a general boolean logical expression, such as 'a ^ b' and 'v[0] & (~v[1] | v[2])'
            optimization: Boolean flag for attempting logical expression optimization
            mct_mode: The mode to use for building Multiple-Control Toffoli.
        Raises:
            AquaError: Invalid input
        """
        validate_in_set('mct_mode', mct_mode,
                        {'basic', 'basic-dirty-ancilla',
                         'advanced', 'noancilla'})
        super().__init__()

        self._mct_mode = mct_mode.strip().lower()
        self._optimization = optimization

        expression = re.sub('(?i)' + re.escape(' and '), ' & ', expression)
        expression = re.sub('(?i)' + re.escape(' xor '), ' ^ ', expression)
        expression = re.sub('(?i)' + re.escape(' or '), ' | ', expression)
        expression = re.sub('(?i)' + re.escape('not '), '~', expression)

        orig_expression = expression
        # try parsing as normal logical expression that sympy recognizes
        try:
            raw_expr = parse_expr(expression)
        except Exception:  # pylint: disable=broad-except
            # try parsing as dimacs cnf
            try:
                expression = LogicalExpressionOracle._dimacs_cnf_to_expression(expression)
                raw_expr = parse_expr(expression)
            except Exception:
                raise AquaError('Failed to parse the input expression: {}.'.format(orig_expression))
        self._expr = raw_expr
        self._process_expr()
        self.construct_circuit() 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def __init__(self, function_name: str,
                 param: Union[basic.Basic, str]) -> None:
        """
        The initializer. The parameter must be a
        string representation of a function, and it needs to
        be at least a function of x.
        """
        # Dictionary of modules and user defined functions.
        # Used for lambdify from sympy to parse input.
        if isinstance(param, str):
            param = parse_expr(param)
        if function_name == "x":
            function_name = "1.0*x"
        self._symbolic_func = parse_expr(function_name)
        symbol_set = self._symbolic_func.free_symbols
        if abc.k in symbol_set:
            k_param = parse_expr("k_param")
            self._symbolic_func = self._symbolic_func.subs(abc.k, k_param)
            symbol_set = self._symbolic_func.free_symbols
        symbol_list = list(symbol_set)
        if param not in symbol_list:
            raise VariableNotFoundError
        self.latex_repr = latex(self._symbolic_func)
        symbol_list.remove(param)
        self.parameters = symbol_list
        var_list = [param]
        var_list.extend(symbol_list)
        self.symbols = var_list
        self._lambda_func = lambdify(
            self.symbols, self._symbolic_func, modules=self.module_list) 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def multiply_latex_string(self, var: str) -> str:
        var = parse_expr(var)
        expr = var*self._symbolic_func
        return latex(expr) 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def simplify_arith_expr(expr):
    try:
        out = repr(sympy_parser.parse_expr(str(expr)))
        return out
    except:
        print "Couldn't parse", expr
        raise 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def _evaluate_variable_expression(self, expr, units):
        """
        :type expr: str
        :type units: str
        :return: float
        """
        try:
            sexp = sympy_parser.parse_expr(expr)
        except SyntaxError:
            return Q(expr).to(units).magnitude

        sub_exprs = {fs: self.get_variable_value(fs.name) for fs in sexp.free_symbols}
        return float(sexp.subs({fs: self._evaluate_variable_expression(e, units) for fs, e in sub_exprs.items()})) 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def sanitize_symbolname(name):
    """
    Sanitize all characters not matched to a symbol by sympy's parse_expr.

    Based on same rules as used for python variables.
    """
    return re.subn('(^[0-9])|[^0-9a-zA-Z_]', '_', name)[0] 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def convert_to_dict(node: Node) -> dict:
    children = OrderedDict()
    for node_property in node.properties:
        children[node_property] = convert_to_dict(node[node_property][0])
    simplified = str(sympy.expand(parse_expr(''.join(to_token_sequence(node, [])))))
    if len(children) > 0:
        return dict(Name=node.name, Children=children, Symbol=simplified)
    else:
        return dict(Name=node.name, Symbol=simplified) 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def convert_to_dict(node: Node) -> dict:
    children = OrderedDict()
    for node_property in node.properties:
        children[node_property] = convert_to_dict(node[node_property][0])
    simplified = str(simplify_logic(parse_expr(''.join(to_token_sequence(node, []))), form='dnf'))
    if len(children) > 0:
        return dict(Name=node.name, Children=children, Symbol=simplified)
    else:
        return dict(Name=node.name, Symbol=simplified) 

# 需要導入模塊: from sympy.parsing import sympy_parser [as 別名]
# 或者: from sympy.parsing.sympy_parser import parse_expr [as 別名]
def add_equation(self, eqn_str, eqn_name='', subs_dict=None):
        """Add an equation to the physics layer.

        The equation string should represent the expression for computing the residue of a given
        equation, rather than representing the equation itself. Use dif(y,x) for computing the
        derivate of y with respect to x. Sign of the expression does not matter. The variable names
        **MUST** be the same as the variables in self.in_vars and self.out_vars.

        E.g.,
        For the equation partial(u, x) + partial(v, y) = 3*partial(u, y)*partial(v, x), write as:
        eqn_str = 'dif(u,x)+dif(v,y)-3*dif(u,y)*dif(v,x)'
        - or -
        eqn_str = '3*dif(u,y)*dif(v,x)-(dif(u,x)+dif(v,y))'

        Args:
          eqn_str: str, a string that can be parsed as an experession for computing the residue of
          an equation.
          eqn_name: str, a name or identifier for this equation entry. E.g., 'div_free'. If none or
          empty, use default of eqn_i where i is an index.
          subs_dict: dict, a dictionary where the key (str) is the variable to subsitute and val
          (str) is the expression to substitite the variable with. useful for scenarios such as
          normalizations and/or non-dimensionalizing expressions.

        Raises:
          ValueError: when the variables in the eqn_str do not match that of in_vars and out_vars.

        """
        if not eqn_name:
            eqn_name = 'eqn_{i}'.format(len(self.eqns_raw.keys()))

        # assert that the equation contains the same vars as in_vars and out_vars
        expr = parse_expr(eqn_str)

        # substitute variables in the equation.
        if subs_dict:
            for key, val in subs_dict.items():
                expr = expr.subs(key, val)

        valid_var = expr.free_symbols <= (set(self.in_vars)|set(self.out_vars))
        if not valid_var:
            raise ValueError('Variables in the eqn_str ({}) does not match that of '
                             'in_vars ({}) and out_vars ({})'.format(expr.free_symbols,
                                                                     set(self.in_vars),
                                                                     set(self.out_vars)))

        # convert into lambda functions
        fn = sympy.lambdify(self.all_vars, expr, {'dif': torch_diff})

        # update equations
        self.eqns_raw.update({eqn_name: eqn_str})
        self.eqns_fn.update({eqn_name: fn})