From 4854a14e709272fe92463ac43d29f9a73a5f9875 Mon Sep 17 00:00:00 2001
From: MisterMLiL <99662459+MisterMLiL@users.noreply.github.com>
Date: Tue, 3 Oct 2023 11:00:34 +0300
Subject: [PATCH] =?UTF-8?q?fix:=20=D0=B8=D1=81=D0=BF=D1=80=D0=B0=D0=B2?=
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Closes #50
---
 statapp/calculations.py | 27 +++++++++++----------------
 1 file changed, 11 insertions(+), 16 deletions(-)

diff --git a/statapp/calculations.py b/statapp/calculations.py
index d06abd1..208eae9 100644
--- a/statapp/calculations.py
+++ b/statapp/calculations.py
@@ -3,30 +3,25 @@ import numpy as np
 DIRECT_LINK = 0
 INDIRECT_LINK = 1
 
+
 def generate_x_values(mean, std, typeConnection, y):
     yMean = np.mean(y)
     values = []
     for cur_y in y:
-        k = np.abs(cur_y / yMean)
-        if k > 1:
-            k = 2 - 1 / k
+        raz = np.abs(mean - np.random.normal(mean, std))
         if typeConnection == INDIRECT_LINK:
-            k = 1 / k
-        if std == 0:
-            k = 1
-
-        x = np.random.normal(mean * (k ** 3), std * k)
+            raz *= -1
+        if cur_y > yMean:
+            x = mean + raz
+        elif cur_y < yMean:
+            x = mean - raz
+        else:
+            x = mean
         values.append(x)
-        # if (x > gfw.mat and cur_y > yMat) or (x < gfw.mat and cur_y < yMat):
-        #     dd = np.append(dd, 1)
-        # else:
-        #     dd = np.append(dd, 0)
-
-    # x_arr = x_arr.reshape(len(x_arr), 1)
-
     return np.array(values)
 
+
 def variance_analysis(data):
     return np.array([
         [np.mean(col), np.std(col), np.min(col), np.max(col)] for col in data.T
-    ])
+    ])
\ No newline at end of file