Initial configuration commit

typings/numpy/ma/extras.pyi

@@ -0,0 +1,165 @@
+"""
+This type stub file was generated by pyright.
+"""
+
+from typing import Any
+from numpy.lib.index_tricks import AxisConcatenator
+
+__all__: list[str]
+def count_masked(arr, axis=...):
+    ...
+
+def masked_all(shape, dtype=...):
+    ...
+
+def masked_all_like(arr):
+    ...
+
+class _fromnxfunction:
+    __name__: Any
+    __doc__: Any
+    def __init__(self, funcname) -> None:
+        ...
+    
+    def getdoc(self):
+        ...
+    
+    def __call__(self, *args, **params):
+        ...
+    
+
+
+class _fromnxfunction_single(_fromnxfunction):
+    def __call__(self, x, *args, **params):
+        ...
+    
+
+
+class _fromnxfunction_seq(_fromnxfunction):
+    def __call__(self, x, *args, **params):
+        ...
+    
+
+
+class _fromnxfunction_allargs(_fromnxfunction):
+    def __call__(self, *args, **params):
+        ...
+    
+
+
+atleast_1d: _fromnxfunction_allargs
+atleast_2d: _fromnxfunction_allargs
+atleast_3d: _fromnxfunction_allargs
+vstack: _fromnxfunction_seq
+row_stack: _fromnxfunction_seq
+hstack: _fromnxfunction_seq
+column_stack: _fromnxfunction_seq
+dstack: _fromnxfunction_seq
+stack: _fromnxfunction_seq
+hsplit: _fromnxfunction_single
+diagflat: _fromnxfunction_single
+def apply_along_axis(func1d, axis, arr, *args, **kwargs):
+    ...
+
+def apply_over_axes(func, a, axes):
+    ...
+
+def average(a, axis=..., weights=..., returned=..., keepdims=...):
+    ...
+
+def median(a, axis=..., out=..., overwrite_input=..., keepdims=...):
+    ...
+
+def compress_nd(x, axis=...):
+    ...
+
+def compress_rowcols(x, axis=...):
+    ...
+
+def compress_rows(a):
+    ...
+
+def compress_cols(a):
+    ...
+
+def mask_rows(a, axis=...):
+    ...
+
+def mask_cols(a, axis=...):
+    ...
+
+def ediff1d(arr, to_end=..., to_begin=...):
+    ...
+
+def unique(ar1, return_index=..., return_inverse=...):
+    ...
+
+def intersect1d(ar1, ar2, assume_unique=...):
+    ...
+
+def setxor1d(ar1, ar2, assume_unique=...):
+    ...
+
+def in1d(ar1, ar2, assume_unique=..., invert=...):
+    ...
+
+def isin(element, test_elements, assume_unique=..., invert=...):
+    ...
+
+def union1d(ar1, ar2):
+    ...
+
+def setdiff1d(ar1, ar2, assume_unique=...):
+    ...
+
+def cov(x, y=..., rowvar=..., bias=..., allow_masked=..., ddof=...):
+    ...
+
+def corrcoef(x, y=..., rowvar=..., bias=..., allow_masked=..., ddof=...):
+    ...
+
+class MAxisConcatenator(AxisConcatenator):
+    concatenate: Any
+    @classmethod
+    def makemat(cls, arr):
+        ...
+    
+    def __getitem__(self, key):
+        ...
+    
+
+
+class mr_class(MAxisConcatenator):
+    def __init__(self) -> None:
+        ...
+    
+
+
+mr_: mr_class
+def ndenumerate(a, compressed=...):
+    ...
+
+def flatnotmasked_edges(a):
+    ...
+
+def notmasked_edges(a, axis=...):
+    ...
+
+def flatnotmasked_contiguous(a):
+    ...
+
+def notmasked_contiguous(a, axis=...):
+    ...
+
+def clump_unmasked(a):
+    ...
+
+def clump_masked(a):
+    ...
+
+def vander(x, n=...):
+    ...
+
+def polyfit(x, y, deg, rcond=..., full=..., w=..., cov=...):
+    ...
+