Full NumPy coverage

[rlouf]

Discrepancies

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1. Replace aesara.tensor.sub by aesara.tensor.subtract #1423
   NumPy compatibility good first issue +2
2. Replace sqr for square #1422
   NumPy compatibility good first issue +2
3. Use power instead of pow for element-wise operator #1421
   NumPy compatibility +1
4. Use absolute instead of abs #1420
   NumPy compatibility good first issue +2
5. The behavior of aeasara.tensor.clip should be consistent with numpy.clip #1290
   NumPy compatibility enhancement help wanted +3
6. The naming of the division Ops is inconsistent with NumPy's #1212
   NumPy compatibility enhancement good first issue help wanted refactor +5
7. Implement aesara.tensor.matmul #488
   NumPy compatibility good first issue help wanted +3
   

Distributions

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1. Add standard_cauchy, standard_gamma, standard_t and standard_exponential RandomVariable #1358
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
2. Add noncentral_f RandomVariable #1357
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
3. Add noncentral_chisquare RandomVariable #1356
   NumPy compatibility Op implementation enhancement help wanted random variables +5
4. Add multivariate_hypergeometric RandomVariable #1355
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
5. Add permuted RandomVariable #1354
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
6. Add random RandomVariable #1353
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
7. Add power RandomVariable #1352
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
8. Add Rayleigh RandomVariable #1351
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
9. Add Zipf RandomVariable #1350
   NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
10. Add logseries RandomVariable #1349
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6
11. Add f RandomVariable #1348
    NumPy compatibility Op implementation enhancement good first issue help wanted random variables +6

Missing operators

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1. Implement einsum equivalent #937
   NumPy compatibility +1
2. Generalize linalg.cholesky beyond 2D arrays #791
   NumPy compatibility enhancement help wanted +3
3. Implement missing ufunc.outer functions for binary ops #612
   NumPy compatibility enhancement +2
4. Numpy lexsort equivalent #585
   NumPy compatibility Op implementation enhancement +3
5. Implement equivalent numpy median and quantile / percentile #525
   NumPy compatibility good first issue help wanted +3
6. Implement aesara.tensor.matmul #488
   NumPy compatibility good first issue help wanted +3