v1.3.1

yoshi-seals1.3.1/Seals/__init__.py

@@ -0,0 +1,18 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

yoshi-seals1.3.1/Seals/eigen/__init__.py

@@ -0,0 +1,20 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+from .eigen import eigen

yoshi-seals1.3.1/Seals/eigen/eigen.py

@@ -0,0 +1,51 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+import numpy as np
+
+def eigen(a):
+
+    k = 0
+    l = np.ones((a.shape[0]))
+
+    while (k < a.shape[0]):
+
+        u = np.random.rand(a.shape[0],1)
+        u = u/max(u.min(), u.max(), key=abs)
+
+        ctrl = 0
+
+        while (ctrl != l[k]):
+            
+            ctrl = l[k]
+            u = a.dot(u)
+            l[k] = max(u.min(), u.max(), key=abs)
+            u = u/l[k]
+
+
+        i = 0
+
+        while (u[i] == 0):
+            i += 1
+
+        a = a - (1/u[i])*u*a[i]
+
+        k += 1
+
+    return l

yoshi-seals1.3.1/Seals/insert/__init__.py

@@ -0,0 +1,21 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+from .insert import matrix
+from .insert import vector

yoshi-seals1.3.1/Seals/insert/insert.py

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+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+def matrix(matrix):
+
+    i = 0
+    
+    while (i < matrix.shape[0]):
+        
+        j = 0
+        
+        while (j < matrix.shape[1]):
+            
+            matrix[i][j] = float(input('Insira o elemento {}x{}: '.format((i+1),(j+1))))
+            j += 1
+        
+        i += 1
+        
+    return matrix
+
+def vector(vector):
+    
+    j=0
+    
+    while (j < vector.shape[0]):
+            
+        vector[j] = float(input('Insira o elemento b{}: '.format((j+1))))
+        j += 1
+        
+    return vector

yoshi-seals1.3.1/Seals/process/__init__.py

@@ -0,0 +1,25 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+from .process import identity
+from .process import gauss
+from .process import inverse
+from .process import cholesky
+from .process import decomposition
+from .process import cramer

yoshi-seals1.3.1/Seals/process/process.py

@@ -0,0 +1,203 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+import numpy as np
+import math
+
+def identity(matrix):
+    
+    i = 0
+    
+    while (i < matrix.shape[0]):
+        
+        j = 0
+        
+        while (j < matrix.shape[0]):
+            
+            if (i == j):
+                
+                matrix[i][j] = 1
+                
+            elif (i != j):
+                
+                matrix[i][j] = 0
+                        
+            j += 1
+        
+        i += 1
+        
+    return matrix
+
+def gauss(matrix):
+    
+    i = 0
+    k = 0
+    
+    while (i < matrix.shape[0]):
+        
+        if (matrix[i][i] == 0):
+            
+            n = i
+            
+            while (matrix[i][i] == 0) and (n < matrix.shape[0]):
+                
+                temp = matrix[i].copy()
+                matrix[i] = matrix[n]
+                matrix[n] = temp
+                
+                n += 1
+        
+        while (k < matrix.shape[0]):
+            
+            if (k == i) or (matrix[i][i] == 0):
+                
+                k += 1
+                
+            else:
+                
+                mult = matrix[k][i]/matrix[i][i]
+                matrix[k] = matrix[k] - mult*matrix[i]
+                k += 1
+            
+        i += 1
+        k = 0
+    
+    i = 0
+    
+    while ((i) < matrix.shape[0]) and (matrix[i][i] != 0):
+        
+        matrix[i] = matrix[i]/matrix[i][i]
+        i += 1        
+    
+    return matrix[:,(matrix.shape[0]):]
+
+def inverse(matrix):
+    
+    return gauss(np.hstack((matrix, identity(np.zeros(matrix.shape)))))
+
+def cholesky(A, b):
+    
+    g = np.zeros((A.shape))
+    
+    i = 0
+    j = 0
+    
+    while j < A.shape[1]:
+        while i < A.shape[0]:
+
+            if i == 0 and j == 0:
+
+                g[i][j] = math.sqrt(A[0][0])
+
+            elif j == 0:
+
+                g[i][j] = A[i][0]/g[0][0]
+
+            elif i == j:
+
+                k = 0
+                theta = 0
+
+                while k < i:
+
+                    theta += g[i][k]**2
+                    k += 1
+                
+                g[i][j] = math.sqrt(A[i][i] - theta) 
+
+            else:
+
+                k = 0
+                theta = 0
+
+                while k < j:
+
+                    theta += g[i][k]*g[j][k]
+                    k += 1
+
+                g[i][j] = (A[i][j] - theta)/g[j][j]
+
+            i += 1
+
+        j += 1
+        i = j
+                
+    y = (inverse(g)).dot(b) 
+    
+    x = (inverse(g.T)).dot(y)
+    
+    return x
+
+def decomposition(U, b):
+    
+    L = identity(np.zeros(U.shape))
+
+    i = 0
+    k = 0
+
+    while (i < U.shape[0]):
+        
+        k = 0
+
+        if (U[i][i] == 0):
+            
+            n = i
+            
+            while (U[i][i] == 0) and (n < U.shape[0]):
+                
+                temp = U[i].copy()
+                U[i] = U[n]
+                U[n] = temp
+                
+                n += 1
+        
+        while (k < U.shape[0]):
+            
+            if (k <= i) or (U[i][i] == 0):
+                
+                k += 1
+                
+            else:
+                L[k][i] = U[k][i]/U[i][i]
+                U[k] = U[k] - L[k][i]*U[i]
+                k += 1
+            
+        i += 1
+
+    y = (inverse(L)).dot(b) 
+    
+    x = (inverse(U)).dot(y)
+    
+    return x
+    
+def cramer(A, b):
+
+    x = np.vstack(np.zeros(b.shape))
+    k = 0
+
+    while (k < A.shape[0]):
+
+        temp = A.copy()
+        temp[:,k] = b
+
+        x[k] = np.linalg.det(temp)/np.linalg.det(A)
+        
+        k += 1
+    
+    return x

yoshi-seals1.3.1/Seals/scan/__init__.py

@@ -0,0 +1,21 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+from .scan import numpy as np
+from .scan import pandas as pd

yoshi-seals1.3.1/Seals/scan/scan.py

@@ -0,0 +1,45 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+import numpy as np
+import pandas as pd
+
+def numpy(path, sep=None, decimal=None):
+
+    if sep is None:
+        sep = ","
+
+    if decimal is None:
+        decimal = "."
+
+    df=pd.read_csv(path, sep=sep, decimal=decimal, header=None)
+    array = df.to_numpy()
+
+    return array
+
+def pandas(path, sep=None, decimal=None):
+
+    if sep is None:
+        sep = ","
+
+    if decimal is None:
+        decimal = "."
+
+    return pd.read_csv(path, sep=sep, decimal=decimal)
+

yoshi-seals1.3.1/Seals/write/__init__.py

@@ -0,0 +1,21 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+from .write import numpy as np
+from .write import pandas as pd

yoshi-seals1.3.1/Seals/write/write.py

@@ -0,0 +1,33 @@
+# Seals - Program made for educational intent, can be freely distributed
+# and can be used for economical intent. I will not take legal actions
+# unless my intelectual propperty, the code, is stolen or change without permission.  
+
+# Copyright (C) 2020  VItor Hideyoshi Nakazone Batista
+
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 2 as published by
+# the Free Software Foundation.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc.,
+# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+import csv
+
+def numpy(array, path):
+
+    with open(path, mode='w') as sistema_linear:
+
+        solution_writer = csv.writer(sistema_linear, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
+        solution_writer.writerows(array)
+        
+    return array
+
+def pandas(df, path):
+    
+    df.to_csv(path)