From 4aab4087dc97906d0b9890035401175cdaab32d4 Mon Sep 17 00:00:00 2001
From: blackhao <13851610112@163.com>
Date: Fri, 22 Aug 2025 02:51:50 -0500
Subject: 2.0

---
 .../python3.12/site-packages/numpy/ma/__init__.py  | 53 ++++++++++++++++++++++
 1 file changed, 53 insertions(+)
 create mode 100644 .venv/lib/python3.12/site-packages/numpy/ma/__init__.py

(limited to '.venv/lib/python3.12/site-packages/numpy/ma/__init__.py')

diff --git a/.venv/lib/python3.12/site-packages/numpy/ma/__init__.py b/.venv/lib/python3.12/site-packages/numpy/ma/__init__.py
new file mode 100644
index 0000000..e2a742e
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/numpy/ma/__init__.py
@@ -0,0 +1,53 @@
+"""
+=============
+Masked Arrays
+=============
+
+Arrays sometimes contain invalid or missing data.  When doing operations
+on such arrays, we wish to suppress invalid values, which is the purpose masked
+arrays fulfill (an example of typical use is given below).
+
+For example, examine the following array:
+
+>>> x = np.array([2, 1, 3, np.nan, 5, 2, 3, np.nan])
+
+When we try to calculate the mean of the data, the result is undetermined:
+
+>>> np.mean(x)
+nan
+
+The mean is calculated using roughly ``np.sum(x)/len(x)``, but since
+any number added to ``NaN`` [1]_ produces ``NaN``, this doesn't work.  Enter
+masked arrays:
+
+>>> m = np.ma.masked_array(x, np.isnan(x))
+>>> m
+masked_array(data=[2.0, 1.0, 3.0, --, 5.0, 2.0, 3.0, --],
+             mask=[False, False, False, True, False, False, False, True],
+      fill_value=1e+20)
+
+Here, we construct a masked array that suppress all ``NaN`` values.  We
+may now proceed to calculate the mean of the other values:
+
+>>> np.mean(m)
+2.6666666666666665
+
+.. [1] Not-a-Number, a floating point value that is the result of an
+       invalid operation.
+
+.. moduleauthor:: Pierre Gerard-Marchant
+.. moduleauthor:: Jarrod Millman
+
+"""
+from . import core, extras
+from .core import *
+from .extras import *
+
+__all__ = ['core', 'extras']
+__all__ += core.__all__
+__all__ += extras.__all__
+
+from numpy._pytesttester import PytestTester
+
+test = PytestTester(__name__)
+del PytestTester
-- 
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