p4 - Programación de computadores | Grupo 3 | 2021 - 2

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Awesome! Everything worked as it should have: your code passed all the test cases. Congratulations!

Sorry, but your code failed to solve the problem. It does not solve correctly the problem you were asked for.
The output after running your code (what it prints to the screen), is different from the output the system expected.
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PRESENTATION ERROR

The data in your output is correct, but it is not formatted in the proper way. Check the problem statement to understand the correct format of the output.
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COMPILATION ERROR

Your code does not compile :/. Something is faulty in your code:
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TIME LIMIT EXCEEDED

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Tips: Check for infinite loops. Try to find another solution, one that takes less time to compute.

MEMORY LIMIT EXCEEDED

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OUTPUT LIMIT EXCEEDED

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GRADING RUNTIME ERROR

Error related to notebook file submissions. This points out a runtime error while running the grading testing code.
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SUBMISSION TIMED OUT

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The configured memory is to low to solve this problem (talk to your professor about it).
Your code is printing too much data, possibly caused by prints in an infinite loop.

ENVIRONMENT NOT
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p4

El ejercicio debe ser resuelto adjuntando un archivo .ipynb sólo con la función que resuelva el problema. Tenga en cuenta que no puede usar funciones pre-establecidas de python. También tenga en cuenta que debe probar su solución con todos los ejemplos de prueba que le aparezcan, esto determinará su nota (si todos ejecutan bien, su nota en dicho ejercicio es 5)

Enunciado del problema

Escriba una función llamada "SumaDados" que muestre LA SUMA DE LOS VALORES QUE SE OBTIENEN en todas las combinaciones posibles al momento de lanzar dos dados de X caras.

Entrada: un número entero X que hace referencia a la cantidad de caras (asuma que existen dados diferentes a los de 6 caras)

Ejemplos

Entrada Ejemplo 1

Salida Ejemplo 1

Entrada Ejemplo 2

Salida Ejemplo 2

Paste this command into your terminal:

The password to connect is

In general, when submitting a notebook, all Python 3.6 code is supported on UNCode. However, Ipython notebooks and python code differ in some functionalities, then UNCode might support them or not. Also, there are some things you should bear in mind when creating your notebook.

Python modules:
You are able to use the next python modules in addition to the pre installed python modules:
import pandas, numpy, matplotlib, scipy, scikit-learn, seaborn, datascience, plotly, cufflinks, bokeh, tabulate, nltk, tensorflow, Keras

Installing modules:
All the modules and data you require are already installed and supported by UNCode.
Then, when you have lines installing a module, for instance: !pip install pandas or using conda, these lines are automatically removed from your notebook to avoid runtime execution errors.

In case you want to use one module and it is not in the previous list, do not hesitate on reaching out for support.
Print expressions:
Usually while executing your notebook on your runtime you might add some print expressions, though, these expressions are deleted and these outputs are not shown in the submission feedback.
Internet access in grading environment:
The internet access when your code is being graded is dependant on the task. Some tasks might allow it or not.
In case you are allowed to access internet, this mainly will work to download files or data, for instance datasets. As stated above, you cannot install modules.
In case there is not access, be careful when using code that requires internet access as it will fail while grading.
Magic functionality execution:
Magic functions are not allowed when your notebook is graded. For example the next line:
%matplotlib inline
In case your notebook contains some lines like this, they will be automatically removed to avoid runtime execution errors.
Commands execution:
Python Notebooks provide a functionality to execute commands like these:
!ls
!pwd
However, this kind of lines are transformed as follows:
!ls is turned into the following code:
import subprocess
call = subprocess.run(["ls"], stdout=subprocess.PIPE)
print(call.stdout.decode('utf-8')
That code will do the same for you as in the notebook. However, you are not allowed to assign the result of command execution to variables, for instance the next line will return an error:
result = !ls.
Google Colab modules
When you use Google Colaboratory (Colab) and you want to load and read data from Google Drive, you are required to use some python modules unique in Colab. These modules are not supported by UNCode. Then, make sure when you submit your notebook, you do not include it.

Max file size: 1.0MB
Allowed extensions: .ipynb

Deadline	01/12/2021 09:00:32
Submission limit	No limitation

p4

Enunciado del problema

Ejemplos

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PRESENTATION ERROR

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RUNTIME ERROR

TIME LIMIT EXCEEDED

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OUTPUT LIMIT EXCEEDED

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p4

Enunciado del problema

Ejemplos

About Python Notebook submissions

In general, when submitting a notebook, all Python 3.6 code is supported on UNCode. However, Ipython notebooks and python code differ in some functionalities, then UNCode might support them or not. Also, there are some things you should bear in mind when creating your notebook.

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After you submit your code, it will be assessed and a result will be given to you.
The tables below list all possible results.

ENVIRONMENT NOT
AVAILABLE