1 files changed, 0 insertions, 147 deletions
diff --git a/env/lib/python3.10/site-packages/PIL/ImageStat.py b/env/lib/python3.10/site-packages/PIL/ImageStat.py
deleted file mode 100644
index 1baef7d..0000000
--- a/env/lib/python3.10/site-packages/PIL/ImageStat.py
+++ /dev/null
@@ -1,147 +0,0 @@
-#
-# The Python Imaging Library.
-# $Id$
-#
-# global image statistics
-#
-# History:
-# 1996-04-05 fl   Created
-# 1997-05-21 fl   Added mask; added rms, var, stddev attributes
-# 1997-08-05 fl   Added median
-# 1998-07-05 hk   Fixed integer overflow error
-#
-# Notes:
-# This class shows how to implement delayed evaluation of attributes.
-# To get a certain value, simply access the corresponding attribute.
-# The __getattr__ dispatcher takes care of the rest.
-#
-# Copyright (c) Secret Labs AB 1997.
-# Copyright (c) Fredrik Lundh 1996-97.
-#
-# See the README file for information on usage and redistribution.
-#
-
-import functools
-import math
-import operator
-
-
-class Stat:
-    def __init__(self, image_or_list, mask=None):
-        try:
-            if mask:
-                self.h = image_or_list.histogram(mask)
-            else:
-                self.h = image_or_list.histogram()
-        except AttributeError:
-            self.h = image_or_list  # assume it to be a histogram list
-        if not isinstance(self.h, list):
-            raise TypeError("first argument must be image or list")
-        self.bands = list(range(len(self.h) // 256))
-
-    def __getattr__(self, id):
-        """Calculate missing attribute"""
-        if id[:4] == "_get":
-            raise AttributeError(id)
-        # calculate missing attribute
-        v = getattr(self, "_get" + id)()
-        setattr(self, id, v)
-        return v
-
-    def _getextrema(self):
-        """Get min/max values for each band in the image"""
-
-        def minmax(histogram):
-            n = 255
-            x = 0
-            for i in range(256):
-                if histogram[i]:
-                    n = min(n, i)
-                    x = max(x, i)
-            return n, x  # returns (255, 0) if there's no data in the histogram
-
-        v = []
-        for i in range(0, len(self.h), 256):
-            v.append(minmax(self.h[i:]))
-        return v
-
-    def _getcount(self):
-        """Get total number of pixels in each layer"""
-
-        v = []
-        for i in range(0, len(self.h), 256):
-            v.append(functools.reduce(operator.add, self.h[i : i + 256]))
-        return v
-
-    def _getsum(self):
-        """Get sum of all pixels in each layer"""
-
-        v = []
-        for i in range(0, len(self.h), 256):
-            layer_sum = 0.0
-            for j in range(256):
-                layer_sum += j * self.h[i + j]
-            v.append(layer_sum)
-        return v
-
-    def _getsum2(self):
-        """Get squared sum of all pixels in each layer"""
-
-        v = []
-        for i in range(0, len(self.h), 256):
-            sum2 = 0.0
-            for j in range(256):
-                sum2 += (j**2) * float(self.h[i + j])
-            v.append(sum2)
-        return v
-
-    def _getmean(self):
-        """Get average pixel level for each layer"""
-
-        v = []
-        for i in self.bands:
-            v.append(self.sum[i] / self.count[i])
-        return v
-
-    def _getmedian(self):
-        """Get median pixel level for each layer"""
-
-        v = []
-        for i in self.bands:
-            s = 0
-            half = self.count[i] // 2
-            b = i * 256
-            for j in range(256):
-                s = s + self.h[b + j]
-                if s > half:
-                    break
-            v.append(j)
-        return v
-
-    def _getrms(self):
-        """Get RMS for each layer"""
-
-        v = []
-        for i in self.bands:
-            v.append(math.sqrt(self.sum2[i] / self.count[i]))
-        return v
-
-    def _getvar(self):
-        """Get variance for each layer"""
-
-        v = []
-        for i in self.bands:
-            n = self.count[i]
-            v.append((self.sum2[i] - (self.sum[i] ** 2.0) / n) / n)
-        return v
-
-    def _getstddev(self):
-        """Get standard deviation for each layer"""
-
-        v = []
-        for i in self.bands:
-            v.append(math.sqrt(self.var[i]))
-        return v
-
-
-Global = Stat  # compatibility