From 6e9b439d4b3d303b246d9e66b3ed3852e3fad9a5 Mon Sep 17 00:00:00 2001
From: David Luevano <55825613+luevano@users.noreply.github.com>
Date: Thu, 23 Jan 2020 18:59:34 -0700
Subject: Rename lj_matrix to ml_exp

---
 lj_matrix/frob_norm.py | 51 --------------------------------------------------
 1 file changed, 51 deletions(-)
 delete mode 100644 lj_matrix/frob_norm.py

(limited to 'lj_matrix/frob_norm.py')

diff --git a/lj_matrix/frob_norm.py b/lj_matrix/frob_norm.py
deleted file mode 100644
index 4c3a2945d..000000000
--- a/lj_matrix/frob_norm.py
+++ /dev/null
@@ -1,51 +0,0 @@
-"""MIT License
-
-Copyright (c) 2019 David Luevano Alvarado
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-"""
-import math
-
-
-def frob_norm(array):
-    """
-    Calculates the frobenius norm of a given array or matrix.
-    array: array of data.
-    """
-
-    arr_sh_len = len(array.shape)
-    arr_range = range(len(array))
-    fn = 0.0
-
-    # If it is a 'vector'.
-    if arr_sh_len == 1:
-        for i in arr_range:
-            fn += array[i]*array[i]
-
-        return math.sqrt(fn)
-
-    # If it is a matrix.
-    elif arr_sh_len == 2:
-        for i in arr_range:
-            for j in arr_range:
-                fn += array[i, j]*array[i, j]
-
-        return math.sqrt(fn)
-    else:
-        print('Error. Array size greater than 2 ({}).'.format(arr_sh_len))
-- 
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