Turn of Numpy Deprecation Warning

[AhmedAbdelmoneim]

Calling sgrnable from the command line results in a bunch of Numpy deprecation warnings, we're fixed in to this numpy version due to dependency on Azimuth model. Look into a way to either upgrade Numpy or turn off the warning:

/Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:35: DeprecationWarning: np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:597: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, fit_path=True, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:836: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, fit_path=True, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:862: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, positive=False): /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1097: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1344: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1480: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, positive=False): /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:152: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations precompute=False, eps=np.finfo(np.float).eps, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:320: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, random_state=None, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:580: DeprecationWarning:np.floatis a deprecated alias for the builtinfloat. To silence this warning, use floatby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=4 * np.finfo(np.float).eps, n_jobs=None, /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/ensemble/gradient_boosting.py:34: DeprecationWarning:np.boolis a deprecated alias for the builtinbool. To silence this warning, use boolby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.bool_here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations from ._gradient_boosting import predict_stages /Users/averynoonan/anaconda3/envs/sgRNAble1/lib/python3.7/site-packages/sklearn/ensemble/gradient_boosting.py:34: DeprecationWarning:np.boolis a deprecated alias for the builtinbool. To silence this warning, use boolby itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.bool_ here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations from ._gradient_boosting import predict_stages usage: sgrnable [-h] -t TARGET_SEQUENCE -g GENOME_SEQUENCE [GENOME_SEQUENCE ...] [-a AZIMUTH_CUTOFF] [-c COPY_NUMBER [COPY_NUMBER ...]] [-p PURPOSE] [-o OUTPUT_DIR] [-th NUM_THREADS] [-m MAX_MEMORY] [-v] sgrnable: error: the following arguments are required: -t/--target_sequence, -g/--genome_sequence