tortoise | The Tortoise programming language for mathematical drawing | Math library
kandi X-RAY | tortoise Summary
kandi X-RAY | tortoise Summary
The Tortoise programming language for mathematical drawing.
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Trending Discussions on tortoise
QUESTION
(MRE in the bottom of the question)
In tortoise-orm, we have to await on reverse ForeignKey field as such:
...ANSWER
Answered 2021-May-05 at 07:12You can try using prefetch_related()
For example:
QUESTION
I need to delete (remove) files (and possibly folders) via Excel VBA in Tortoise SVN environment. However I change my command, it always deletes the folder where files reside.
Call obj.Run("TortoiseProc.exe /command:remove /pathfile:""C:\someSVNpath\123.txt"" /closeonend:1 ")
Call obj.Run("TortoiseProc.exe /command:remove /pathfile:""C:\someSVNpath\Folder"" /closeonend:1 ")
I was also trying to list files in the loop and delete, but then the error appears: Subversion reported an error: Previous operation has not finished; run 'cleanup' if it was interrupted. Please execute the 'Cleanup' command.
Also, even if I manage to list the files in the loop and delete, the commit operation does not find any files for committing.
...ANSWER
Answered 2021-Jun-01 at 15:10I think your main problem is that you aren't waiting for the shell to return. These operations are likely running asynchronously and running over each other. This is a sort of race condition.
I fix this by adding , 1, True
to the end of the .Run
command. The 1
is a intWindowStyle
that "Activates and displays a window. If the window is minimized or maximized, the system restores it to its original size and position. An application should specify this flag when displaying the window for the first time."
The True
at the end is bWaitOnReturn
indicating whether the script should wait for the program to finish executing before continuing to the next statement in your script.
The way you declared your variables they are all variants. Dim
needs a type on each variable. Also Call
is deprecated.
Try building off of this:
QUESTION
I have been looking at the application of merge sort to linked lists. Some of the articles I have looked at tout that merge sort is the best algorithm for sorting a linked list. It makes sense for the conquer part in the divide and conquer strategy where you merge the two sorted linked lists as you end up saving on required memory (compared to an array). But, what I don't understand is the time complexity of the divide step in the algorithm.
For an array, this step is constant time by leveraging random access and splitting the array into smaller chunks. But, for a linked list isn't this going to take an additional O(n)? I have seen Floyd's algorithm (tortoise-hare) used to find the mid-point of a linked list and divide the problem into smaller chunks. I did some analysis on the divide step. Suppose the linked list is of size n, then the # of operations involved in just dividing the problem is as follows,
n/2 + n/4 * 2 + n/8 * 4 + ... = n/2 * log(n)
From the above, it looks like compared to the array case, an additional factor of "n" appears from Floyd's algorithm. So, the final time complexity would be O(n^2 * log(n)). Can someone please explain the discrepancy?
Edit: based on @Yves comment, I identified the mistake,
I multiplied the work while merging back the sorted blocks from bottom to top when it should be added. So, the net time would be: nlogn/2 + nlogn = O(nlogn),
This is probably is most valid answer to the above question; other answers are a bit indirect/ provide no explanation
...ANSWER
Answered 2021-May-22 at 21:29The issue with your question is that the additional O(n/2) time complexity for the scanning of half a sub-list for each level of recursion translates into an overall time complexity of O((0.5 n log(n) + 1.0 (n log(n)) = O(1.5 n log(n)), not O(n^2 (log(n))), and O(1.5 (n log(n))) translates into O(n log(n)), since time complexity ignores lower order terms or constants. However in my actual testing for a large list with scattered nodes, where most node accesses result in a cache miss, my benchmarks show an relative time complexity of recursive versus iterative to be O(1.4 n log(n)), using a count based scan to split lists, rather than tortoise-hare approach.
For recursive version, using tortoise-hare approach is relatively slow and can be improved by using a count of nodes, which may require a one time scan of n node if the linked list container doesn't maintain a count of nodes (for example C++ std::list::size()). The reduces the overhead to advancing a single pointer halfway (sub-count / 2) through a linked list run.
Example C / C++ code:
Time taken to sort numbers in Linked List
However, in such a case (large list, scattered nodes), it is faster to copy the data from the list into an array, sort the array, then create a new sorted list from the sorted array. This is because elements in an array are merged sequentially (not via random linked list next pointers), which is cache friendly.
QUESTION
Cannot understand even if i delete all inside function and just print something still got this error, but when i use fastapi docs, and try signing with that, it work.
...ANSWER
Answered 2021-May-10 at 12:03Although you did not publish the error, who's purpose is to tell you the problem, I'm fairly sure the problem lies in the way you perform the request.
The line
QUESTION
I have the following implementation with fastapi.
My current problem is that I can't for the life of me do an early init
on the tortoise models to get the relationship back in the schema.
I've tried dumping the following line basically everywhere and it just doesn't seem to work.
...ANSWER
Answered 2021-Apr-25 at 22:29so i've finally found an answer and i'm gonna leave it here in case some poor soul stumbles upon this question
the trick was to move
QUESTION
In FastAPI, running a test which uses @pytest.mark.parametrize
goes through but only for the first set of values. The second and succeeding ones do not. Regardless of the test data being run they all have the same error.
ANSWER
Answered 2021-Apr-01 at 15:35It seems the documentation on running tests in Tortoise ORM is a bit off. In the unit test section it mentioned something about using initializer()
and finalizer()
but these brought only more problems. It seems the real solution is simpler than it looks.
Fixtures
QUESTION
I'm going through the course Test-Driven Development with FastAPI and Docker from testdriven.io and just stucked with releasing my app to heroku (Part 2: Deployment). Everything was fine before I released the image to heroku:
...ANSWER
Answered 2021-Feb-24 at 21:53So I ran into the same issue, and after puttering around for a bit, this is how I got it to work. I 100% know there is a better way, but I just wanted to move on.
QUESTION
- I am able to clone public repo but facing issue with private repo using the jenkins.
- I am able to clone the private repo using the command prompt.
- I am able to clone the private repo using the tortoise git.
- But not able to clone the private repo usingthe jenkins.
Jenkins versions:
Jenkins 2.263.4
There must not be issue with the git path. I have gone through many similar questions but none of the answer is able to resolve the issue.
...ANSWER
Answered 2021-Mar-11 at 06:12Check first with which account Jenkins is running.
On Windows, it can run locally with a LocalSystem instead of your own account.
You can check with a Jenkins job doing a simple bat shell step:
QUESTION
cats = {'lesson_name': {0: 'Mutt',
1: 'Ragdoll',
2: 'Black',
3: 'Calico',
4: 'Tortoise',
5: 'Mainecoon'},
'tag_list': {0: ['Orange', 'Black', 'White'],
1: ['Grey', 'White'],
2: ['Black','Brown'],
3: ['Orange','Grey','White'],
4: ['Orange', 'Brown','White'],
5: ['Grey','White']},
'Orange': {0: '',
1: '',
2: '',
3: '',
4: '',
5: ''},
'Black': {0: '',
1: '',
2: '',
3: '',
4: '',
5: ''},
'White': {0: '',
1: '',
2: '',
3: '',
4: '',
5: ''},
'Grey': {0: '',
1: '',
2: '',
3: '',
4: '',
5: ''},
'Brown': {0: '',
1: '',
2: '',
3: '',
4: '',
5: ''}}
cats_frame = pd.DataFrame(cats)
...ANSWER
Answered 2021-Mar-02 at 17:43# i holds index e.g. 1; a_list is for example [Grey, White] in the second turn
for i, a_list in enumerate(cats_frame.tag_list):
# j becomes the index number (starting at 1), color becomes e.g. "Grey"
for j, color in enumerate(a_list, start=1):
# put numbers according to tag list to the position
# where i points to the row and color points to the column
cats_frame.loc[i, color] = str(j)
QUESTION
I'm using Tortoise GIT and would like to discard recent commits and reverting to a specific commit.
My attempt to do this is as follows.
- View Log.
- Select commit to revert to.
- Select reset.
- Push
When I attempt to push I get an error
...ANSWER
Answered 2021-Feb-27 at 23:36If you're doing a git reset and you pushed those commits already, you need a force push as you're rewriting history. (side node, to do a force push in TortoiseGit, select the "known changes" checkbox)
But another option is to revert the commits, which create a new commit with the reverted changes.
You could do that as follows in TortoiseGit:
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