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Clean notebooks and add Python exercise tests #1

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47efce5
test: cover core Python exercises
jandroderojas Sep 21, 2026
8f93ee8
ci: run Python exercise tests
jandroderojas Sep 21, 2026
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16 changes: 16 additions & 0 deletions .github/workflows/ci.yml
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name: CI

on:
push:
branches: [main, master, portfolio-audit]
pull_request:

jobs:
tests:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- run: python -m unittest discover -p 'test_*.py' -v
3 changes: 3 additions & 0 deletions .gitignore
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__pycache__/
*.py[cod]
.pytest_cache/
125 changes: 54 additions & 71 deletions DebugColab.ipynb
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@@ -1,73 +1,56 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/vincimech010233/python/blob/master/DebugColab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ASpQPzMUDUdp"
},
"outputs": [],
"source": [
"!pip install ipdb"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"background_save": true
},
"id": "hnrdydOcDWLj"
},
"outputs": [],
"source": [
"# Importa ipdb\n",
"import ipdb\n",
"\n",
"# Definir una función con código para depurar\n",
"def some_function():\n",
" a = 5\n",
" b = 10\n",
" result = a + b\n",
"\n",
" # Colocar un punto de interrupción usando ipdb\n",
" ipdb.set_trace()\n",
"\n",
" c = result * 2\n",
" return c\n",
"\n",
"# Llamar a la función que deseas depurar\n",
"result = some_function()\n",
"\n",
"# Cuando llegues al punto de interrupción, puedes usar comandos como 'n' para avanzar a la siguiente línea, 'c' para continuar la ejecución, 'p variable' para imprimir el valor de una variable, etc.\n"
]
}
],
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyMmfQ+77ZubyLMijc3J+Uaj",
"include_colab_link": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/vincimech010233/python/blob/master/DebugColab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
"nbformat": 4,
"nbformat_minor": 0
}
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!pip install ipdb"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Importa ipdb\n",
"import ipdb\n",
"\n",
"# Definir una función con código para depurar\n",
"def some_function():\n",
" a = 5\n",
" b = 10\n",
" result = a + b\n",
"\n",
" # Colocar un punto de interrupción usando ipdb\n",
" ipdb.set_trace()\n",
"\n",
" c = result * 2\n",
" return c\n",
"\n",
"# Llamar a la función que deseas depurar\n",
"result = some_function()\n",
"\n",
"# Cuando llegues al punto de interrupción, puedes usar comandos como 'n' para avanzar a la siguiente línea, 'c' para continuar la ejecución, 'p variable' para imprimir el valor de una variable, etc.\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
196 changes: 89 additions & 107 deletions EjemploMineríaPython.ipynb
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@@ -1,111 +1,93 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4",
"authorship_tag": "ABX9TyP/h8RYin0S7z74YdHUIae1",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/vincimech010233/python/blob/master/EjemploMiner%C3%ADaPython.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
"cells": [
{
"cell_type": "code",
"source": [
"import hashlib\n",
"import time\n",
"import psutil\n",
"\n",
"# Simular un bloque de datos\n",
"bloque = \"Bloque de ejemplo\"\n",
"dificultad = 1 # Número de ceros iniciales en el hash\n",
"\n",
"def mineria(bloque, dificultad):\n",
" nonce = 0\n",
" intentos = 0\n",
" start_time = time.time() # Iniciar el temporizador\n",
"\n",
" memoria_inicial = psutil.virtual_memory().used\n",
" memoria_total = psutil.virtual_memory().total\n",
" memoria_max = memoria_inicial\n",
"\n",
" while True:\n",
" # Concatenar el bloque de datos con el nonce y obtener el hash\n",
" texto = bloque + str(nonce)\n",
" hash_resultado = hashlib.sha256(texto.encode()).hexdigest()\n",
"\n",
" # Contar intento y medir recursos\n",
" intentos += 1\n",
" memoria_actual = psutil.virtual_memory().used\n",
"\n",
" # Actualizar máximo si es necesario\n",
" memoria_max = max(memoria_max, memoria_actual)\n",
"\n",
" # Verificar si el hash cumple con la dificultad\n",
" if hash_resultado.startswith('0' * dificultad):\n",
" tiempo_total = time.time() - start_time # Calcular el tiempo total\n",
" return nonce, hash_resultado, tiempo_total, intentos, memoria_max, memoria_total\n",
"\n",
" nonce += 1\n",
"\n",
"# Llamar a la función de minería\n",
"nonce, hash_resultado, tiempo_total, intentos, memoria_max, memoria_total = mineria(bloque, dificultad)\n",
"\n",
"print(f\"Nonce encontrado: {nonce}\")\n",
"print(f\"Hash resultante: {hash_resultado}\")\n",
"print(f\"Tiempo total utilizado: {tiempo_total} segundos\")\n",
"print(f\"Número total de intentos: {intentos}\")\n",
"print(f\"Uso máximo de memoria durante la minería: {memoria_max} bytes de un total de {memoria_total} bytes\")\n"
],
"metadata": {
"outputId": "2a1de2b3-992d-494d-d5ca-0bbf59408e0e"
},
"execution_count": null,
"outputs": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/vincimech010233/python/blob/master/EjemploMiner%C3%ADaPython.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"source": [
"import hashlib\n",
"import time\n",
"import psutil\n",
"\n",
"# Simular un bloque de datos\n",
"bloque = \"Bloque de ejemplo\"\n",
"dificultad = 1 # Número de ceros iniciales en el hash\n",
"\n",
"def mineria(bloque, dificultad):\n",
" nonce = 0\n",
" intentos = 0\n",
" start_time = time.time() # Iniciar el temporizador\n",
"\n",
" memoria_inicial = psutil.virtual_memory().used\n",
" memoria_total = psutil.virtual_memory().total\n",
" memoria_max = memoria_inicial\n",
"\n",
" while True:\n",
" # Concatenar el bloque de datos con el nonce y obtener el hash\n",
" texto = bloque + str(nonce)\n",
" hash_resultado = hashlib.sha256(texto.encode()).hexdigest()\n",
"\n",
" # Contar intento y medir recursos\n",
" intentos += 1\n",
" memoria_actual = psutil.virtual_memory().used\n",
"\n",
" # Actualizar máximo si es necesario\n",
" memoria_max = max(memoria_max, memoria_actual)\n",
"\n",
" # Verificar si el hash cumple con la dificultad\n",
" if hash_resultado.startswith('0' * dificultad):\n",
" tiempo_total = time.time() - start_time # Calcular el tiempo total\n",
" return nonce, hash_resultado, tiempo_total, intentos, memoria_max, memoria_total\n",
"\n",
" nonce += 1\n",
"\n",
"# Llamar a la función de minería\n",
"nonce, hash_resultado, tiempo_total, intentos, memoria_max, memoria_total = mineria(bloque, dificultad)\n",
"\n",
"print(f\"Nonce encontrado: {nonce}\")\n",
"print(f\"Hash resultante: {hash_resultado}\")\n",
"print(f\"Tiempo total utilizado: {tiempo_total} segundos\")\n",
"print(f\"Número total de intentos: {intentos}\")\n",
"print(f\"Uso máximo de memoria durante la minería: {memoria_max} bytes de un total de {memoria_total} bytes\")\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "tmCU1Qph0Z3t",
"outputId": "2a1de2b3-992d-494d-d5ca-0bbf59408e0e"
},
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Nonce encontrado: 2\n",
"Hash resultante: 0e021e65986ee28306c6edd6045766e66bf7b6d5b13146101ee99f4a130011d2\n",
"Tiempo total utilizado: 0.0009980201721191406 segundos\n",
"Número total de intentos: 3\n",
"Uso máximo de memoria durante la minería: 823279616 bytes de un total de 13613268992 bytes\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "AFTd45eK8djz"
},
"execution_count": null,
"outputs": []
"output_type": "stream",
"name": "stdout",
"text": [
"Nonce encontrado: 2\n",
"Hash resultante: 0e021e65986ee28306c6edd6045766e66bf7b6d5b13146101ee99f4a130011d2\n",
"Tiempo total utilizado: 0.0009980201721191406 segundos\n",
"Número total de intentos: 3\n",
"Uso máximo de memoria durante la minería: 823279616 bytes de un total de 13613268992 bytes\n"
]
}
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {},
"execution_count": null,
"outputs": []
}
]
}
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