ParcialFinal_Ejercicio2

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The area of a square is :math:`A_\text{s} = l^2`

The math role marks its content as mathematical notation (inline formula).
The input format is LaTeX, math syntax without the "math delimiters". The example is rendered as:
A_s = l²

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This is item 1
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Bullets are "-", "*" or "+". Continuing text must be aligned after the bullet and whitespace.


                                    .. image:: task_id/image_name
                                    

                                       :height: 180px

The desired image will be rendered. Remember that you have to put the task id and the image name. You have to upload the image in the tab Task files. This file must be in the public/ folder.


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After the '.. raw:: html' you can add your HTML code.
The previous HTML code is rendered as follows:

List of selected files:

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.
If the administrator allowed it, you may be able to see the difference between your output and the expected output.
Tips: Read carefully what you are asked to do and check again your code.
Test your code with different inputs. You can do it in your machine or you can use the "custom input" in the tools section.

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.
Missing/excessive blank lines or unnecessary spaces are likely to have caused this message.

COMPILATION ERROR

Your code does not compile :/. Something is faulty in your code:
It may be a misplaced colon, bracket, quotation mark, or symbol; you may be using a reserved keyword as a variable; you may have chosen a different programming language; among other options.
The "compilation error" message includes the output that the compiler produced with the error. Read the message carefully, it is tells you what went wrong.

This means that your code failed while it was executing, which means that your code compiled but exited unexpectedly when executed.
There are many reasons why your code could crashed, some of them are:
Division by zero, invalid memory access (e.g. bad index access to an array), null pointers, among many options.

TIME LIMIT EXCEEDED

Your code exceeded the time limit. Thus, your code took too long to run the input for a given test case.
There are two options: either your code got stuck in an infinite loop or your code takes much longer than it should.
Tips: Check for infinite loops. Try to find another solution, one that takes less time to compute.

MEMORY LIMIT EXCEEDED

Getting this result means your code is using too much memory at runtime.
Tips: Check the data structures you are using, or find a more "optimal" solution, a solution that uses less memory.

OUTPUT LIMIT EXCEEDED

Getting this result means the output of your code is longer that the allowed.
Tips: Check for print expressions in a loop.

GRADING RUNTIME ERROR

Error related to notebook file submissions. This points out a runtime error while running the grading testing code.
This might be either an error in the grading code (i.e. calling non existent variable or function) or student code (i.e. the function to be tested is not present in the notebook).
Tips: Check that your code implements all that was requested with the correct signature.

If you get this message, do not worry, There's Nothing Wrong With Your Code!
This error means UNCode had a problem while running or assessing your code. So, the problem is on our side.
We apologise in advance. Please reload the page and try submitting again! If you still get the same result, please wait a while and try again or contact your professor.

SUBMISSION TIMED OUT

If you get this, it means that we had a problem running and assessing your code. Wait for a while and try to send a submission again.
This might be also caused by a too small time limit in the task configuration (talk to your professor about it).

If you get this, it means the grading environment run out of memory. There might be two possible causes:

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
AVAILABLE

There was a problem while assessing your submission. Please wait a while and reload the page, and try submitting again.

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 diferentes a las vistas en las clases del curso. 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 TuplaNumeros que reciba una lista de números y que retorne una tupla que contanga 3 cosas: Primero una lista con los números únicos ordenados de forma ascendente, segundo la suma de todos los números, tercero el máximo de los números de la lista.

Ejemplos

Entrada Ejemplo 1

[3,2,5,5,5,6,4,5,2]

Salida Ejemplo 1

([2, 3, 4, 5, 6], 37, 6)

Entrada Ejemplo 2

[-1,20,3,2,5,5,5,6,4,5,2,100]

Salida Ejemplo 2

([-1, 2, 3, 4, 5, 6, 20, 100], 156, 100)

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	02/02/2022 09:00:29
Submission limit	No limitation