peacock-data-public-datasets-idc-llm_eval
/
env-llmeval
/lib
/python3.10
/site-packages
/sympy
/stats
/random_matrix.py
| from sympy.core.basic import Basic | |
| from sympy.stats.rv import PSpace, _symbol_converter, RandomMatrixSymbol | |
| class RandomMatrixPSpace(PSpace): | |
| """ | |
| Represents probability space for | |
| random matrices. It contains the mechanics | |
| for handling the API calls for random matrices. | |
| """ | |
| def __new__(cls, sym, model=None): | |
| sym = _symbol_converter(sym) | |
| if model: | |
| return Basic.__new__(cls, sym, model) | |
| else: | |
| return Basic.__new__(cls, sym) | |
| def model(self): | |
| try: | |
| return self.args[1] | |
| except IndexError: | |
| return None | |
| def compute_density(self, expr, *args): | |
| rms = expr.atoms(RandomMatrixSymbol) | |
| if len(rms) > 2 or (not isinstance(expr, RandomMatrixSymbol)): | |
| raise NotImplementedError("Currently, no algorithm has been " | |
| "implemented to handle general expressions containing " | |
| "multiple random matrices.") | |
| return self.model.density(expr) | |