How to use the symengine.Matrix function in symengine

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github neurophysik / jitcode / jitcode / _jitcode.py View on Github external
def generate_jac_lambda(self,do_cse=False):
		"""
		translates the symbolic Jacobain to a function using SymEngines `Lambdify` or `LambdifyCSE`. If the symbolic Jacobian has not been generated, it is generated by calling `generate_jac_sym`.
		
		Parameters
		----------
		do_cse : boolean
			Whether a common-subexpression detection, namely `LambdifyCSE`, should be used.
		"""
		
		self._prepare_lambdas()
		
		jac_matrix = symengine.Matrix([
				[ordered_subs(entry,self._lambda_subs) for entry in line]
				for line in self.jac_sym
			])
		
		lambdify = symengine.LambdifyCSE if do_cse else symengine.Lambdify
		core_jac = lambdify(self._lambda_args,jac_matrix)
		self.jac = lambda t,Y: core_jac(np.hstack([t,Y,self.control_par_values]))
		
		self.compile_attempt = False
github inducer / sumpy / sumpy / symbolic.py View on Github external
def make_sym_vector(name, components):
    return sym.Matrix(
            [sym.Symbol("%s%d" % (name, i)) for i in range(components)])