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jalalium
commented
Dec 20, 2022
| """ | ||
| def __new__(cls, name, shape=None): | ||
| def __new__(cls, name, dimension=None, field=None): | ||
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Should we inform the dimension and field of a vector space? or should we inject that information later?
I think dimension should be used here instead of shape as it is the case in Psydac.
jalalium
commented
Dec 20, 2022
| return self._field | ||
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| @property | ||
| def dtype(self): |
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For code generation, the data type can be infered from the field of the vector space if this information is not provided
jalalium
commented
Dec 20, 2022
| obj = Symbol.__new__(cls, name) | ||
| obj._space = space | ||
| obj._discretizable = False | ||
| if assumptions.get('values'): |
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is this the way to go to discretize vector?
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