![]() This ensures that results cannot depend on the computer or operating system. Np.int64 or np.int32 to specify the precision exactly. ![]() If you want to be more explicit and review the current use, you have the Good and will not change behavior, but the precision will continue to depend If you wish to be more explicit about the precision.įor np.int a direct replacement with np.int_ or int is also Is shorter and clear, and generally a good replacement.įor float and complex you can use float64 and complex128 To give a clear guideline for the vast majority of cases, for the typesīool, object, str (and unicode) using the plain version Numpy.int_ (C long), numpy.longlong (largest integer type) plex128, plex_, numpy.cdouble (equivalent) Numpy.float64, numpy.float_, numpy.double (equivalent) Numpy.int_ (default), numpy.int64, or numpy.int32 See also Data types for additional details. The third column lists alternative NumPy names which may occasionally be The first column with the contents of the second column will work identically The table below shows the full list ofĭeprecated aliases, along with their exact meaning. Repeatedly a cause of confusion for newcomers, and existed mainly for historic ( gh-17535) Deprecations # Using the aliases of builtin types like np.int is deprecated #įor a long time, np.int has been an alias of the builtin int. ( gh-17394) numpy.broadcast_shapes is a new user-facing function #īroadcast_shapes gets the resulting shape fromīroadcasting the given shape tuples against each other. This allowsįor the simple implementation of certain algorithms, such as running means. _tricks.sliding_window_view constructs views on numpyĪrrays that offer a sliding or moving window access to the array. ( gh-15121) sliding_window_view provides a sliding window view for numpy arrays # It is now possible to permute the rows or columns of a 2-D array. ![]() Subarrays indexed by an axis are permuted rather than the axis being treated asĪ separate 1-D array for every combination of the other indexes. ![]() The new function differs from shuffle and permutation in that the New functions # The random.Generator class has a new permuted function. Preliminary support for the upcoming Cython 3.0. Is ongoing and part of the larger project to improve NumPy’s online presenceįurther cleanups related to removing Python 2.7. Has been done to allow experimentation and feedback.Įxtensive documentation improvements comprising some 185 PR merges. Provide an easier path to extending dtypes. Preliminary work in changing the dtype and casting implementations in order to Much work has beenĭone in introducing universal functions that will ease use of modernįeatures across different hardware platforms. Wider use of SIMD to increase execution speed of ufuncs. This work is ongoing and improvements can The Python versions supported for this release are 3.7-3.9, support for PythonĪnnotations for NumPy functions. See the list of highlights below for more details. Instead of using dual, use the functions directly from numpy or scipy.Ĭalling FFC just-in-time (JIT) compiler, this may take some time.This NumPy release is the largest so made to date, some 684 PRs contributed byġ84 people have been merged. usr/lib/python3/dist-packages/scipy/linalg/_init_.py:217: DeprecationWarning: The module numpy.dual is deprecated. If you wish to review your current use, check the release note link for additional information.ĭeprecated in NumPy 1.20 for more details and guidance: įrom numpy import (exp, inf, pi, sqrt, floor, sin, cos, around, int, `np.int64` or `np.int32` to specify the precision. When replacing `np.int`, you may wish to use e.g. Doing this will not modify any behavior and is safe. ![]() To silence this warning, use `int` by itself. usr/lib/python3/dist-packages/scipy/special/orthogonal.py:81: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. Warnings.warn('Variant of ' + element + ' element will change from point evaluation to integral evaluation.' You should project into variant="integral" usr/lib/python3/dist-packages/FIAT/check_format_variant.py:9: DeprecationWarning: Variant of Nedelec element will change from point evaluation to integral evaluation. Calling FFC just-in-time (JIT) compiler, this may take some time. I am getting errors regularly when I will use nedelec element inside the integral. ![]()
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