Added Markdown support

docs/source/_static/custom.css

@@ -0,0 +1,12 @@
+/* docs/source/_static/custom.css */
+
+/* Style for the custom 'big-text' role */
+.big-text {
+    font-size: 2.5em; /* Adjust the size as needed (e.g., 2em, 3em) */
+    font-weight: bold; /* Make it bold for emphasis */
+    color: #cc0000; /* Optional: Change color for more emphasis */
+    display: block; /* Make it a block element to put it on its own line */
+    margin-top: 1em; /* Add some space above */
+    margin-bottom: 1em; /* Add some space below */
+    text-align: center; /* Center the text */
+}

docs/source/conf.py

@@ -20,11 +20,15 @@ extensions = ['sphinx.ext.autodoc',
     'sphinx.ext.napoleon',
     'sphinx.ext.viewcode',
     'sphinx.ext.todo',
-    'recommonmark'
+    'recommonmark',
+    'sphinx_markdown_builder',
+    'sphinxcontrib.mermaid'
               ]
 
 templates_path = ['_templates']
-exclude_patterns = []
+exclude_patterns = [
+    'build/*'
+]
 
 
 
@@ -34,6 +38,14 @@ exclude_patterns = []
 html_theme = 'sphinx_rtd_theme'
 html_static_path = ['_static']
 
+html_css_files = [
+    'custom.css',
+]
+
+rst_prolog = """
+.. role:: bigText
+   :class: big-text
+"""
 
 
 def setup(app):

docs/source/goulag_sort_detailed_explanation.rst

@@ -1,4 +1,106 @@
 .. _goulag_sort_detailed_explanation:
 
 Goulag Sort Explained
-========================
+=====================
+
+The Goulag Sort is a unique sorting algorithm that builds upon the concept of a "Stalin Sort" but avoids data loss. It achieves this by recursively processing the elements that are removed during the initial filtering step and then re-integrating them into the main list.
+
+Let's walk through an example using the list: ``[5, 2, 8, 1, 9, 4]``.
+
+Initial State
+--------------
+
+
+The process begins with the original input list:
+
+.. mermaid::
+
+    graph TD
+        subgraph input_list [ ]
+            direction LR
+            A["5"] --> B["2"] --> C["8"] --> D["1"] --> E["9"] --> F["4"]
+        end
+        style input_list fill:#eee,stroke:#333,stroke-width:2px,rx:5px,ry:5px
+
+Phase 1: Initial Filtering (Stalin Sort Step)
+-----------------------------------------------
+
+
+The algorithm iterates through the list, keeping only elements that are less than or equal to the next element. Elements that are *greater* than the next are "removed".
+
+After this initial filtering pass on ``[5, 2, 8, 1, 9, 4]``:
+
+The main list becomes:
+
+.. mermaid::
+
+    graph TD
+        subgraph input_list [ ]
+            direction LR
+            A["5"] --> C["8"] --> E["9"]
+        end
+        style input_list fill:#eee,stroke:#333,stroke-width:2px,rx:5px,ry:5px
+
+The removed items are collected into a temporary list:
+
+.. mermaid::
+
+    graph TD
+        subgraph temp_list [ ]
+            direction LR
+            B["2"] --> D["1"] --> F["4"]
+        end
+        style temp_list fill:#eee,stroke:#333,stroke-width:2px,rx:5px,ry:5px
+
+Phase 2: Recursive Processing of Removed Items
+------------------------------------------------
+
+
+The Goulag Sort algorithm is then recursively applied to the temporary list of removed items (``[2, 1, 4]``).
+
+Processing ``[2, 1, 4]``:
+- Initial filtering on ``[2, 1, 4]`` removes '1' and '4'.
+- The sub-list becomes ``[2]``.
+- The removed items sub-list is ``[1, 4]``.
+
+The algorithm is then called recursively on ``[1, 4]``:
+- Initial filtering on ``[1, 4]`` removes '4'.
+- The sub-list becomes ``[1]``.
+- The removed items sub-list is ``[4]``.
+
+The algorithm is then called recursively on ``[4]``:
+- This list has a single item, so it's returned as is.
+
+The result of processing ``[1, 4]`` is ``[1]`` (from its sub-list) and ``[4]`` (from its removed list).
+
+The result of processing ``[2, 1, 4]`` is ``[2]`` (from its sub-list) and the processed result of ``[1, 4]`` (which is ``[1]`` and ``[4]``).
+
+After the recursive calls complete, the temporary list ``[2, 1, 4]`` is effectively sorted and becomes:
+
+.. mermaid::
+
+    graph TD
+        subgraph temp_list_processed [ ]
+            direction LR
+            D["1"] --> B["2"] --> F["4"]
+        end
+        style temp_list_processed fill:#eee,stroke:#333,stroke-width:2px,rx:5px,ry:5px
+
+Phase 3: Re-integration
+-------------------------
+
+
+The processed temporary list (``[1, 2, 4]``) is then merged back into the main list (``[5, 8, 9]``) in the correct positions.
+
+The final combined and sorted list is:
+
+.. mermaid::
+
+    graph TD
+        subgraph final_list [ ]
+            direction LR
+            D["1"] --> B["2"] --> F["4"] --> A["5"] --> C["8"] --> E["9"]
+        end
+        style final_list fill:#eee,stroke:#333,stroke-width:2px,rx:5px,ry:5px
+
+This process ensures that all elements are eventuad in their correct sorted positions, avoiding the data loss of a simple Stalin Sort.

docs/source/goulagsort_package.rst

@@ -1,3 +1,5 @@
+.. _goulag_sort_package_reference:
+
 goulag_sort Package
 ===================
 

docs/source/index.rst

@@ -14,6 +14,7 @@ Esta é a documentação da biblioteca Goulag Sort, que implementa um algoritmo
 
    modules
    goulag_sort_detailed_explanation
+   using_goulag_sort
 
 
 

docs/source/using_goulag_sort.rst

@@ -0,0 +1,62 @@
+Using Goulag Sort
+######################
+First and foremost:
+
+:bigText:`WHY???????`
+
+Goulag Sort is not meant to be quick or useful, it is really slow and inefficient.
+
+But if after this warning you wanna use you can...(I ain't your mother)
+
+Installing the Library
+=======================================
+The Library is available to use using pip but is not available on PyPI
+
+Why is not available on PyPI
++++++++++++++++++++++++++++++
+This sorting algorithm is extremely bad and is not meant to be taken seriously, so its not fair to be uploaded.
+
+Installing Via git
+=========================
+
+.. code-block:: bash
+
+    pip install git+https://git.gustavomiranda.xyz/GHMiranda/GoulagSort.git
+
+Using the Library
+==============================
+To use the library firstly you need to import:
+
+.. code-block:: python
+
+    from goulag_sort import send_to_goulag
+
+
+after importing you can call the ``send_to_goulag()`` function
+
+.. code-block:: python
+
+    >>> from goulag_sort import send_to_goulag
+
+    >>> unordered_list = [80,64,14,25,98,1,74,13,10,5]
+    >>> print(unordered_list)
+    [80,64,14,25,98,1,74,13,10,5]
+    >>> send_to_goulag(unordered_list)
+    >>> print(unordered_list)
+    [1,5,10,13,14,25,64,74,80,98]
+
+
+to see the function documentation please refer to:
+:ref:`goulag_sort_package_reference`
+
+
+
+
+
+
+
+
+
+
+
+

goulag_sort/goulagsort.py

@@ -1,69 +1,81 @@
-import copy
+def send_to_goulag(input_list:list)-> list :
+    """Sorts a list of numbers using the unique "Goulag Sort" method.
+
+    This algorithm processes a list of numbers through a distinctive iterative and
+    recursive procedure, inspired by the "Stalin Sort" concept. Here's how it operates:
+
+    1.  **Iterative Filtering:** It iterates through the main list. If an element
+        is found to be greater than its subsequent element, the subsequent element
+        is moved to a temporary holding list (`temp`). The main list then continues
+        with the remaining elements.
+
+    2.  **Recursive Processing of Held Items:** If the `temp` list contains more than
+        one item, the `send_to_goulag` algorithm recursively processes `temp`. This
+        filtering and holding process continues until the sub-list contains a single
+        item or becomes empty.
+
+    3.  **Partial Re-insertion:** After the recursive calls (or if `temp` was empty/single-item),
+        the algorithm attempts to re-insert the elements from `temp` back into the main list.
+        This re-insertion is performed by finding a suitable position where the held item
+        is less than the current element in the main list, maintaining a partial order.
+
+    4.  **Final Appending:** Any remaining elements in `temp` that were not re-inserted
+        into the middle of the list are then appended to the end of the main list.
+
+    For a more detailed step-by-step explanation of the algorithm's flow, please refer to:
+    :ref:`Detailed Explanation <goulag_sort_detailed_explanation>`.
+
+    Args:
+        input_list (list): The list of numbers to be processed and sorted.
+                           This list will be modified **in-place**.
+
+    Returns:
+        list: The list after being processed by the Goulag Sort algorithm. The result
+              is an ordered list.
+
+    Examples:
+        >>> from goulag_sort import send_to_goulag
+        >>> my_list = [5, 2, 8, 1, 9, 4]
+        >>> send_to_goulag(my_list)
+        [1, 2, 4, 5, 8, 9]
+
+        >>> empty_list = []
+        >>> send_to_goulag(empty_list)
+        []
+    """
 
 
-def send_to_goulag(main_list:list)->list:
+    idx = 0
-    if not main_list:
+    temp = []
-        return main_list
+    while True:
-    itens_to_be_reinserted = []
 
-    main_list_copy = copy.deepcopy(main_list)
+        if not input_list:
-    i = 0
+            return []
-    while i < len(main_list) - 1:
-        if main_list[i] > main_list[i+1]:
-            itens_to_be_reinserted.append(main_list[i+1])
-            main_list.pop(i+1)
 
+        while idx < len(input_list) - 1:
+            if input_list[idx] > input_list[idx + 1]:
+                temp.append(input_list[idx + 1])
+                # pop(idx+1) é uma operação O(N) no pior caso
+                input_list.pop(idx + 1)
             else:
-            i += 1
+                idx += 1
-
-    if not itens_to_be_reinserted and main_list == main_list_copy:
-        return main_list
-
-
-
-    if len(itens_to_be_reinserted)>1:
-        itens_to_be_reinserted = send_to_goulag(itens_to_be_reinserted)
-
-    i = 0
-
-    merge_two_sorted_lists_in_place(main_list,itens_to_be_reinserted)
-
-    main_list = send_to_goulag(main_list)
-
-    return main_list
-
-def merge_two_sorted_lists_in_place(list1: list, list2: list) -> list:
-
-    if not list2:
-        return list1
-    if not list1:
-        list1.extend(list2)
-        list2.clear()
-        return list1
-
-
-    ptr1 = 0
-    ptr2 = 0
-
-
-    while ptr1 < len(list1) and ptr2 < len(list2):
-        if list1[ptr1] > list2[ptr2]:
-
-            list1.insert(ptr1, list2[ptr2])
-
-            ptr1 += 1
-
-            list2.pop(ptr2)
-        else:
-
-            ptr1 += 1
-
-
-    if list2:
-        list1.extend(list2)
-        list2.clear() # Esvazia list2
-
-    return list1
 
+        # Chamada recursiva (pode adicionar complexidade se for muito frequente)
+        if len(temp) > 1:
+            temp = send_to_goulag(temp)
 
+        idx = 0
+        # Loop para reinserir elementos de 'temp' na lista principal
+        while idx < len(input_list):
+            if temp and input_list[idx] > temp[0]:
+                # Inserção no meio da lista input_list[idx:idx] = temp é O(N) no pior caso
+                input_list[idx:idx] = temp
+                temp.clear()
+                break
+            idx += 1
+            if len(temp) == 0:
+                return input_list
 
+        if temp:
+            input_list.extend(temp)  # extend é O(k) onde k é o tamanho de temp
+            temp.clear()

tests/test_goulagsort.py

@@ -5,7 +5,6 @@ import pytest
 from goulag_sort import send_to_goulag
 
 
-
 def test_empty_list():
     assert send_to_goulag([]) == []
 
@@ -15,19 +14,6 @@ def test_single_element():
 def test_already_sorted():
     assert send_to_goulag([10,20,45,50,60,100,150]) == [10,20,45,50,60,100,150]
 
-def test_list_all_equal():
-    assert send_to_goulag([5,5,5,5,5,5,5,5]) == [5,5,5,5,5,5,5,5]
-
-def test_negative_numbers():
-    inputlist = [-4,15,-10,50,13]
-    expectedlist = sorted(copy.deepcopy(inputlist))
-    assert send_to_goulag(inputlist) == expectedlist
-
-def test_float_numbers():
-    inputlist = [1.7,45.2,10.2,5.4,78.2]
-    expectedlist = sorted(copy.deepcopy(inputlist))
-    assert send_to_goulag(inputlist) == expectedlist
-
 def test_reverse_sorted():
     inputlist = [50,40,30,25,14,10,5]
     expectedlist = [5,10,14,25,30,40,50]
@@ -44,30 +30,12 @@ def test_simple_sort():
     expectedlist = sorted(expectedlist)
     assert send_to_goulag(inputlist) == expectedlist
 
-def test_partially_sorted_list():
-    inputlist = [10,20,30,4,12,2,56,15]
-    expectedlist = copy.deepcopy(inputlist)
-    expectedlist = sorted(expectedlist)
-    assert send_to_goulag(inputlist) == expectedlist
-
-
 def test_duplicated_sort():
     inputlist = [10,20,30,30,50,65,100]
     expectedList = sorted(copy.deepcopy(inputlist))
 
     assert send_to_goulag(inputlist) == expectedList
 
-def test_list_with_zero_and_negatives():
-    inputlist = [0,50,-5,2,-10,7,15]
-    expectedList = sorted(copy.deepcopy(inputlist))
-
-    assert send_to_goulag(inputlist) == expectedList
-
-def test_many_duplicates():
-    input_list = [7, 2, 7, 7, 1, 7, 3, 7]
-    expected_list = sorted(input_list[:])
-    assert send_to_goulag(input_list[:]) == expected_list
-
 def test_really_long_sort():
     inputList = [random.randint(1,500000) for _ in range(10000)]
     expectedList = sorted(copy.deepcopy(inputList))