AutoGrader | A Python based AutoGrader for Python Assignments | Authentication library
kandi X-RAY | AutoGrader Summary
kandi X-RAY | AutoGrader Summary
This system is developed for FAST-NUCES Peshawar Campus for the handling of student assignments. This system provide auto grading functionality for the students submission and generate submission reports for the instructor.
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Top functions reviewed by kandi - BETA
- View for a given course
- Returns the due date for this assignment
- Returns the number of days left left for this student
- Submit a single student
- Run test suite
- Parse a result line from a result line
- Creates a fake file
- Download file
- Create the zip file for an assignment
- Return an AssignmentExtension for the given assignment
- Runs the student tests
- Submits the assignment file
- Get credentials from config file
- Save credentials to config file
- Render an assignment report
- Returns a list of all student and latest submissions for this assignment
- Create the zip file for the student s assignment
- View an assignment
- Generate the report for the assignment
- Displays the student students stats
- Returns a list of all student_student_stats
- Lift submit button
- Submit the assignment
AutoGrader Key Features
AutoGrader Examples and Code Snippets
Community Discussions
Trending Discussions on AutoGrader
QUESTION
I am currently implementing an alpha-beta pruning algorithm for a minimax function. This exercise corresponds to the multiagent section of the PacMan Project at Berkeley University.
My implementation:
...ANSWER
Answered 2021-Apr-23 at 20:57Solution:
There were two bugs in my previous implementation:
Previously in the
minValuefunction calculated the value for all 'legal actions' if there was only one ghost left. This is incorrect, you only have to calculate it once.
QUESTION
I have been working on a library to implement the RSA encryption method, and this file (along with others I have been working on) do not output, but instead after executing the script only output a blank line in terminal. I have run it through an autograder, and it times out. Below is the code for the library, but something tells me my issue could be an interpreter issue or something outside of the file itself. It looks like it could be getting stuck before reaching a return or output statement. I've also included a screenshot of the terminal output.
...ANSWER
Answered 2021-Apr-04 at 21:35As @iz_ suggests, you have an infinite loop in your code. This code:
QUESTION
In the following piece of code, I am iterating through a pointer to an array of pointers to TreeNode objects. Below is my code where I iterate through the array:
...ANSWER
Answered 2021-Feb-27 at 15:06Your array is a size and count.
QUESTION
I have a dataframe with something simple:
Country % Renewable USA 100 Belgium 90 UK 103I need to get two things:
- Which country has the biggest Energy; I did this:
ANSWER
Answered 2021-Feb-18 at 08:11Use max and then for tuples zip divided column and convert to list:
QUESTION
Here's the assignment:
...This program is an extension of your previous ‘Owls’ program. In addition to just reporting how many words contained the word owl, you should report the indices at which the words occurred! Here’s what an example run of your program might look like:
ANSWER
Answered 2020-Nov-02 at 14:14As mentioned in the comments, your code has a lot of redundant variables - this is a tidied up version of your code - it should work exactly the same as yours :
I think the biggest issue is that your code prints the count line, and then returns the indices line. If the autograder simply executes your function and ignores the return value it will ignore the indices. Note that the example code you cite prints both lines - and doesn't return anything. This is corrected in the version below.
Note that this code uses enumerate - it is a very good function to get into the habit of using if you need the contents of a list and you need to track the index in the list too.
QUESTION
I have created an autograder for my classes that uses a command line argument to call the associated function for that problem set. I need to extract the command line argument as a string, and then use it as a function call. In the example I'm assigning the string to pset and then calling pset and passing studentFile as the argument. The problem is that the interpreter sees it as a string and not an identifier.
...ANSWER
Answered 2020-Oct-20 at 14:15An unsafe way to do this would be to use eval or look at the globals() dictionary. A slightly safer way would be to create a string-to-function mapping in a dictionary, and look up the function from the mapping.
QUESTION
print(callable(chr(97)))
print(callable(ord("a")))
ANSWER
Answered 2020-Sep-06 at 12:47Your line:
QUESTION
Write a program that prompts for a file name, then opens that file and reads through the file, looking for lines of the form:
X-DSPAM-Confidence: 0.8475
Count these lines, extract the floating point values from each of the lines, and compute the average of those values and produce an output as shown below. Do not use the sum() function or a variable named sum in your solution.*
This is my code:
...ANSWER
Answered 2020-Aug-31 at 13:43I edited your code like below. I think your task is to find numbers next to X-DSPAM-Confidence:. And i used your code to identify the X-DSPAM-Confidence: line. Then I splitted the string by ':' then I took the 1st index and I converted to float.
QUESTION
I'm doing Georgia Tech's CS1301xII course, and I have been stumped by this question. I am supposed to make a function called count_letters. If find_consonants is true, then it counts consonants, or vowels if it is false. It should only return vowels and consonants, no uppercase letters, spaces, numbers, or punctuation. The output I get is 0 consonants, then 1 vowel. I expected 14, then 7.
...ANSWER
Answered 2020-Jul-22 at 11:00Sadly, you can't use if var == "foo" or "bar"; you'd have to write if var == "foo" or var == "bar".
For your function, try something like:
QUESTION
a = tensor([[ 1, 2, 3, 4, 5],
[ 6, 7, 8, 8, 10],
[11, 12, 13, 14, 15]])
ANSWER
Answered 2020-Jun-27 at 11:39PyTorch allows tensor to be a "view" of an existing tensor, such that it shares the same underlying data with its base tensor, thus avoiding explicit data copy to be able to perform fast and memory efficient operations.
As mentioned in the Tensor View docs,
When accessing the contents of a tensor via indexing, PyTorch follows Numpy behaviors that basic indexing returns views, while advanced indexing returns a copy.
In your example, c = a[:, 2:3] is basic indexing, while, c = a[:, [2]] is advanced indexing. That's why a view is created in the first case only. Thus, .storage().data_ptr() gives same result.
You can read about basic and advanced indexing in Numpy indexing docs.
Advanced indexing is triggered when the selection object, obj, is a non-tuple sequence object, an ndarray (of data type integer or bool), or a tuple with at least one sequence object or ndarray (of data type integer or bool).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install AutoGrader
You can use AutoGrader like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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