This is regarding the issue piskvorky#2782 .

Here are the benchmarks of before and after updating:

		Before Update      		After Update

Poincare	Ran 42 tests in 0.418s          Ran 42 tests in 0.417s
test_lda        Ran 48 tests in 223.845s        Ran 48 tests in 225.561s
utils      	Ran 24 tests in 0.007s          Ran 24 tests in 0.007s
test_matutils   Ran 18 tests in 0.071s          Ran 18 tests in 0.070s
word2vec        Ran 79 tests in 58.149s         Ran 79 tests in 57.950s

I don't find a big difference in time taken. However I feel it is good to be updated along with numpy.

For some reason the test_word2vec's  function test_compute_training_loss() fails when we use default_rng instead of RandomState, therefore reverting the changes only for word2vec

resolved some dependencies on RandomState. randint is a method of RandomState , however not supported in Generator. For Generator we use integers. Also fixed a small error about inferred variable (related to index error)

…develop

…ion of random function

Since we are using a totally different random Generator which is not RandomState, therefore there will be differences in intilizations of weights or any random initialization, than that of last versions. The hardcoded values in tests will fail therfore. I had to change these hardcoded values to the new resluts we get.

Example in test_similarity_mertics , I  added a delta of 5.0e-06 to incorporate small changes.

Note in test_ensemblelda i had to remove 2 tests as these two test were comparing previously saved model with new model , which will be not same as we are using different Random Generator.

I'm not an expert in all the models therefore a review for the changes in test files is required.

Sorry for the inconvenience . Pushing after fixing flake8 related styling of code issues

…develop