Fix ruff error in `machine_learning/sequential_minimum_optimization.p…

…y` (#10717)

* updating DIRECTORY.md

* Try to fix ruff error in sequential_minimum_optimization.py

* Update sequential_minimum_optimization.py

* Update sequential_minimum_optimization.py

* Update sequential_minimum_optimization.py

---------

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>

DIRECTORY.md

@@ -37,6 +37,7 @@
 
 ## Bit Manipulation
   * [Binary And Operator](bit_manipulation/binary_and_operator.py)
+  * [Binary Coded Decimal](bit_manipulation/binary_coded_decimal.py)
   * [Binary Count Setbits](bit_manipulation/binary_count_setbits.py)
   * [Binary Count Trailing Zeros](bit_manipulation/binary_count_trailing_zeros.py)
   * [Binary Or Operator](bit_manipulation/binary_or_operator.py)
@@ -57,6 +58,7 @@
   * [Power Of 4](bit_manipulation/power_of_4.py)
   * [Reverse Bits](bit_manipulation/reverse_bits.py)
   * [Single Bit Manipulation Operations](bit_manipulation/single_bit_manipulation_operations.py)
+  * [Swap All Odd And Even Bits](bit_manipulation/swap_all_odd_and_even_bits.py)
 
 ## Blockchain
   * [Diophantine Equation](blockchain/diophantine_equation.py)
@@ -124,6 +126,7 @@
   * [Transposition Cipher](ciphers/transposition_cipher.py)
   * [Transposition Cipher Encrypt Decrypt File](ciphers/transposition_cipher_encrypt_decrypt_file.py)
   * [Trifid Cipher](ciphers/trifid_cipher.py)
+  * [Vernam Cipher](ciphers/vernam_cipher.py)
   * [Vigenere Cipher](ciphers/vigenere_cipher.py)
   * [Xor Cipher](ciphers/xor_cipher.py)
 
@@ -163,6 +166,7 @@
   * [Molecular Chemistry](conversions/molecular_chemistry.py)
   * [Octal To Binary](conversions/octal_to_binary.py)
   * [Octal To Decimal](conversions/octal_to_decimal.py)
+  * [Octal To Hexadecimal](conversions/octal_to_hexadecimal.py)
   * [Prefix Conversions](conversions/prefix_conversions.py)
   * [Prefix Conversions String](conversions/prefix_conversions_string.py)
   * [Pressure Conversions](conversions/pressure_conversions.py)
@@ -183,6 +187,7 @@
     * [Prefix Sum](data_structures/arrays/prefix_sum.py)
     * [Product Sum](data_structures/arrays/product_sum.py)
     * [Sparse Table](data_structures/arrays/sparse_table.py)
+    * [Sudoku Solver](data_structures/arrays/sudoku_solver.py)
   * Binary Tree
     * [Avl Tree](data_structures/binary_tree/avl_tree.py)
     * [Basic Binary Tree](data_structures/binary_tree/basic_binary_tree.py)
@@ -548,8 +553,10 @@
   * Loss Functions
     * [Binary Cross Entropy](machine_learning/loss_functions/binary_cross_entropy.py)
     * [Categorical Cross Entropy](machine_learning/loss_functions/categorical_cross_entropy.py)
+    * [Hinge Loss](machine_learning/loss_functions/hinge_loss.py)
     * [Huber Loss](machine_learning/loss_functions/huber_loss.py)
     * [Mean Squared Error](machine_learning/loss_functions/mean_squared_error.py)
+    * [Mean Squared Logarithmic Error](machine_learning/loss_functions/mean_squared_logarithmic_error.py)
   * [Mfcc](machine_learning/mfcc.py)
   * [Multilayer Perceptron Classifier](machine_learning/multilayer_perceptron_classifier.py)
   * [Polynomial Regression](machine_learning/polynomial_regression.py)
@@ -734,6 +741,7 @@
   * [Inverse Of Matrix](matrix/inverse_of_matrix.py)
   * [Largest Square Area In Matrix](matrix/largest_square_area_in_matrix.py)
   * [Matrix Class](matrix/matrix_class.py)
+  * [Matrix Multiplication Recursion](matrix/matrix_multiplication_recursion.py)
   * [Matrix Operation](matrix/matrix_operation.py)
   * [Max Area Of Island](matrix/max_area_of_island.py)
   * [Median Matrix](matrix/median_matrix.py)
@@ -760,10 +768,10 @@
     * [Mish](neural_network/activation_functions/mish.py)
     * [Rectified Linear Unit](neural_network/activation_functions/rectified_linear_unit.py)
     * [Scaled Exponential Linear Unit](neural_network/activation_functions/scaled_exponential_linear_unit.py)
-    * [Sigmoid Linear Unit](neural_network/activation_functions/sigmoid_linear_unit.py)
     * [Soboleva Modified Hyperbolic Tangent](neural_network/activation_functions/soboleva_modified_hyperbolic_tangent.py)
     * [Softplus](neural_network/activation_functions/softplus.py)
     * [Squareplus](neural_network/activation_functions/squareplus.py)
+    * [Swish](neural_network/activation_functions/swish.py)
   * [Back Propagation Neural Network](neural_network/back_propagation_neural_network.py)
   * [Convolution Neural Network](neural_network/convolution_neural_network.py)
   * [Perceptron](neural_network/perceptron.py)
@@ -1185,7 +1193,6 @@
   * [Quick Sort](sorts/quick_sort.py)
   * [Quick Sort 3 Partition](sorts/quick_sort_3_partition.py)
   * [Radix Sort](sorts/radix_sort.py)
-  * [Recursive Bubble Sort](sorts/recursive_bubble_sort.py)
   * [Recursive Insertion Sort](sorts/recursive_insertion_sort.py)
   * [Recursive Mergesort Array](sorts/recursive_mergesort_array.py)
   * [Recursive Quick Sort](sorts/recursive_quick_sort.py)
@@ -1216,12 +1223,14 @@
   * [Damerau Levenshtein Distance](strings/damerau_levenshtein_distance.py)
   * [Detecting English Programmatically](strings/detecting_english_programmatically.py)
   * [Dna](strings/dna.py)
+  * [Edit Distance](strings/edit_distance.py)
   * [Frequency Finder](strings/frequency_finder.py)
   * [Hamming Distance](strings/hamming_distance.py)
   * [Indian Phone Validator](strings/indian_phone_validator.py)
   * [Is Contains Unique Chars](strings/is_contains_unique_chars.py)
   * [Is Isogram](strings/is_isogram.py)
   * [Is Pangram](strings/is_pangram.py)
+  * [Is Polish National Id](strings/is_polish_national_id.py)
   * [Is Spain National Id](strings/is_spain_national_id.py)
   * [Is Srilankan Phone Number](strings/is_srilankan_phone_number.py)
   * [Is Valid Email Address](strings/is_valid_email_address.py)

machine_learning/sequential_minimum_optimization.py

@@ -454,7 +454,7 @@ def test_cancel_data():
     print("Hello!\nStart test svm by smo algorithm!")
     # 0: download dataset and load into pandas' dataframe
     if not os.path.exists(r"cancel_data.csv"):
-        request = urllib.request.Request(
+        request = urllib.request.Request(  # noqa: S310
             CANCER_DATASET_URL,
             headers={"User-Agent": "Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)"},
         )