From cbc73ff9b5982efa645043794e491aab861cdb8e Mon Sep 17 00:00:00 2001
From: Paul-Corbalan <paulcorbalan@yahoo.fr>
Date: Wed, 8 Apr 2020 17:36:09 +0200
Subject: [PATCH] Calcul_dimension_fractale par dossier

---
 .../Calcul_dimension_fractale.py              | 33 ++++++++-
 .../Calcul_dimension_fractale_public.py       | 72 +++++++++++++++++++
 2 files changed, 103 insertions(+), 2 deletions(-)
 create mode 100644 Calcul_dimension_fractale/Public/Calcul_dimension_fractale_public.py

diff --git a/Calcul_dimension_fractale/Calcul_dimension_fractale.py b/Calcul_dimension_fractale/Calcul_dimension_fractale.py
index 5d64069..af85140 100644
--- a/Calcul_dimension_fractale/Calcul_dimension_fractale.py
+++ b/Calcul_dimension_fractale/Calcul_dimension_fractale.py
@@ -1,10 +1,11 @@
 import os.path
 import sys
+import glob
 import numpy as np
 import math
 
 def Import_dessinBitmap(file):
-    array = np.load(file + '.npy')
+    array = np.load(file)
     return array.tolist()
     # return array
 
@@ -40,4 +41,32 @@ def Calcul_dim(y, n=0):
                     if y[i2][j2] == 1.0 and i2 != (N1-1) and not(Trouver):
                         dim += 1
                         Trouver = True
-    return Dim(dim, N1//L)
\ No newline at end of file
+    return Dim(dim, N1//L)
+
+def main(folder=".\\", n=0):
+    npy_list = [f for f in glob.glob(folder + "*.npy")]
+    S=[]
+
+    for i in range(len(npy_list)):
+        file=npy_list[i]
+        y = Import_dessinBitmap(file)
+        dim = Calcul_dim(y, n)
+        print(str(i+1) + "\t" + file + " :\t" + str(dim))
+        S.append(dim)
+
+    print("\n---")
+    N = len(S)
+    Moyenne = 0
+    Ecart = 0
+    for i in S:
+        Moyenne += i
+        Ecart += i ** 2
+    Moyenne = Moyenne / N
+    Ecart = math.sqrt((Ecart / N - Moyenne ** 2) * N / (N - 1))
+    print("Moyenne :\t\t" + str(Moyenne))
+    print("Ecart type empirique :\t" + str(Ecart))
+    
+    return (Moyenne, Ecart)
+
+main()
+# input()
\ No newline at end of file
diff --git a/Calcul_dimension_fractale/Public/Calcul_dimension_fractale_public.py b/Calcul_dimension_fractale/Public/Calcul_dimension_fractale_public.py
new file mode 100644
index 0000000..4015cbb
--- /dev/null
+++ b/Calcul_dimension_fractale/Public/Calcul_dimension_fractale_public.py
@@ -0,0 +1,72 @@
+import os.path
+import sys
+import glob
+import numpy as np
+import math
+
+def Import_dessinBitmap(file):
+    array = np.load(file)
+    return array.tolist()
+    # return array
+
+
+def Afficher_Array(y):
+    space = ' '  # <--- Pour modifier les espaces
+    N1=len(y)
+    for i in range(N1):
+        N2=len(y[i])
+        for j in range(N2):
+            if y[i][j]:
+                print(str(y[i][j]), end=space)
+            else:
+                print(' ', end=space)
+        print("")
+
+
+def Dim(Count, Size):
+    return np.log(Count) / np.log(Size)
+
+
+def Calcul_dim(y, n=0):
+    L = 2 ** n
+    dim = 1
+    
+    N1 = len(y)
+    for i in range(0, N1, L):
+        N2 = len(y[i])
+        for j in range(0, N2, L):
+            Trouver = False
+            for i2 in range(i, i+L):
+                for j2 in range(j, j+L):
+                    if y[i2][j2] == 1.0 and i2 != (N1-1) and not(Trouver):
+                        dim += 1
+                        Trouver = True
+    return Dim(dim, N1//L)
+
+def main(folder=".\\", n=0):
+    npy_list = [f for f in glob.glob(folder + "*.npy")]
+    S=[]
+
+    for i in range(len(npy_list)):
+        file=npy_list[i]
+        y = Import_dessinBitmap(file)
+        dim = Calcul_dim(y, n)
+        print(str(i+1) + "\t" + file + " :\t" + str(dim))
+        S.append(dim)
+
+    print("\n---")
+    N = len(S)
+    Moyenne = 0
+    Ecart = 0
+    for i in S:
+        Moyenne += i
+        Ecart += i ** 2
+    Moyenne = Moyenne / N
+    Ecart = math.sqrt((Ecart / N - Moyenne ** 2) * N / (N - 1))
+    print("Moyenne :\t\t" + str(Moyenne))
+    print("Ecart type empirique :\t" + str(Ecart))
+    
+    return (Moyenne, Ecart)
+
+main()
+input()
\ No newline at end of file