def change_config(self, newconfig="ul", metric=None):
"""
Changes the index configuration(contravariant/covariant)
Parameters
----------
newconfig : str
Specify the new configuration. Defaults to 'ul'
metric : ~einsteinpy.symbolic.metric.MetricTensor or None
Parent metric tensor for changing indices.
Already assumes the value of the metric tensor from which it was initialized if passed with None.
Compulsory if somehow does not have a parent metric. Defaults to None.
Returns
-------
~einsteinpy.symbolic.stress_energy_momentum.StressEnergyMomentumTensor
New tensor with new configuration. Defaults to 'ul'
Raises
------
Exception
Raised when a parent metric could not be found.
"""
if metric is None:
metric = self._parent_metric
if metric is None:
raise Exception(
"Parent Metric not found, can't do configuration change")
new_tensor = _change_config(self, metric, newconfig)
new_obj = EinsteinTensor(new_tensor,
self.syms,
config=newconfig,
parent_metric=metric)
return new_obj
def change_config(self, newconfig="lll", metric=None):
"""
Changes the index configuration(contravariant/covariant)
Parameters
----------
newconfig : str
Specify the new configuration. Defaults to 'lll'
metric : ~einsteinpy.symbolic.metric.MetricTensor or None
Parent metric tensor for changing indices.
Already assumes the value of the metric tensor from which it was initialized if passed with None.
Compulsory if not initialized with 'from_metric'. Defaults to None.
Returns
-------
~einsteinpy.symbolic.christoffel.ChristoffelSymbols
New tensor with new configuration. Defaults to 'lll'
Raises
------
Exception
Raised when a parent metric could not be found.
"""
if metric is None:
metric = self._parent_metric
if metric is None:
raise Exception(
"Parent Metric not found, can't do configuration change")
new_tensor = _change_config(self, metric, newconfig)
new_obj = ChristoffelSymbols(new_tensor,
self.syms,
config=newconfig,
parent_metric=metric)
return new_obj
def change_config(self, newconfig="u", metric=None):
"""
Changes the index configuration(contravariant/covariant)
Parameters
----------
newconfig : str
Specify the new configuration. Defaults to 'u'
metric : ~einsteinpy.symbolic.metric.MetricTensor or None
Parent metric tensor for changing indices.
Already assumes the value of the metric tensor from which it was initialized if passed with None.
Defaults to None.
Returns
-------
~einsteinpy.symbolic.vector.GenericVector
New tensor with new configuration.
Raises
------
Exception
Raised when a parent metric could not be found.
"""
if metric is None:
metric = self._parent_metric
if metric is None:
raise Exception(
"Parent Metric not found, can't do configuration change")
new_tensor = _change_config(self, metric, newconfig)
new_obj = GenericVector(
new_tensor,
self.syms,
config=newconfig,
parent_metric=metric,
name=_change_name(self.name, context="__" + newconfig),
)
return new_obj
