latex | Python wrappers for calling LaTeX/building LaTeX documents
kandi X-RAY | latex Summary
kandi X-RAY | latex Summary
Python wrappers for calling LaTeX/building LaTeX documents.
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Top functions reviewed by kandi - BETA
- Build PDF from source
- Read file contents
- Build a LaTeX PDF from source
- Creates an environment with the given arguments
- Escape a string
- Substitute special characters
- Read content of file
latex Key Features
latex Examples and Code Snippets
Community Discussions
Trending Discussions on latex
QUESTION
I use textmate for make pdf file in latex. After the update of macOS Monterey version 12.3, the minimal version of python (/usr/bin/python) has disappeared : the compilation don't work now. I try to change in the textmate's files /usr/bin/python by /usr/bin/python3 (I have only this python folder) but that always don't work.
the error say me ti change the compilation command which is this :
...ANSWER
Answered 2022-Mar-18 at 07:00I just found the following page: https://www.heise.de/news/macOS-12-3-Apple-wirft-Python-raus-6341999.html which told me that Apple does not support Python (and some other script languages like for instance Perl) any further. The last version they supported was Python 2.7. Developers should install (and care for) Python 3 by themselves. The Python page told exactly the same thing:
QUESTION
I'm trying to annotate a few figures I created in python. So, I'm generating an image containing the specified text (using PIL ImageDraw) and concatenating it with the image. Now, I want to include a math notation into the text. Is there a way to write text in latex math when creating the image of text? This answer suggests a work-around by using unicode text, but I would prefer writing the text in latex directly.
MWE:
...ANSWER
Answered 2022-Mar-10 at 06:08I found an alternative with sympy here
QUESTION
So I'm preparing for a technical interview, and one of my practice questions is the Kth smallest number. I know that I can do a sort for O(n * log(n)) time and use a heap for O(n * log(k)). However I also know I can partition it (similar to quicksort) for an average case of O(n).
The actual calculated average time complexity should be:
I've double checked this math using WolframAlpha, and it agrees.
So I've coded my solution, and then I calculated the actual average time complexity on random data sets. For small values of n, it's pretty close. For example n=5 might give me an actual of around 6.2 when I expect around 5.7. This slightly more error is consistent.
This only gets worse as I increase the value of n. For example, for n=5000, I get around 15,000 for my actual average time complexity, when it should be slightly less than 10,000.
So basically, my question is where are these extra iterations coming from? Is my code wrong, or is it my math? My code is below:
...ANSWER
Answered 2022-Feb-27 at 08:40As you and others have pointed out in the comments, your calculation assumed that the array was split in half on each iteration by the random pivot, which is incorrect. This uneven splitting has a significant impact: when the element you're trying to select is the actual median, for instance, the expected size of the array after one random pivot choice is 75% of the original, since you'll always choose the larger of the two arrays.
For an accurate estimate of the expected comparisons for each value of n
and k
, David Eppstein published an accessible analysis here and derives this formula:
This is a very close estimate for your values, even though this assumes no duplicates in the array.
Calculating the expected number of comparisons for k from 1
to n-1
, as you do, gives ~7.499 * 10^7
total comparisons when n=5000
, or almost exactly 15,000
comparisons per call of Quickselect as you observed.
QUESTION
I am Arch GNU/Linux user who usually manages almost every package with pacman; I manage TeX and LaTeX-related things with tlmgr. I installed tlmgr from source.
I am writing paper. I would like to use bibliography.
When I tried latexmk -pdflua main.ltx
:
ANSWER
Answered 2022-Feb-21 at 10:53Install libxcrypt-compat
from the AUR, as suggest in this answer.
This made my biber
from TeX Live 2020 work again. The interesting question is if newer TeX distributions will require this AUR package.
QUESTION
I just learned how to insert (a limited number of) LaTeX expressions into my plot titles with
expression()
. How can I generate plots containing LaTeX in their titles using a loop? For example, say I have:
ANSWER
Answered 2022-Feb-19 at 17:04We can use bquote
instead of expression
. This allows partial unquoting, meaning you can substitute the value of i inside the expression by wrapping it like this: .(i)
QUESTION
ANSWER
Answered 2022-Feb-13 at 08:47This problem may arise as a result of the internet connection. The simple way to resolve this problem is to reload the Overleaf editor by refreshing your browser.
QUESTION
Can LaTeX escapes for accents be used in Rd
files? I tried the standard \'e
and many variants (\'{e}
, {\'e}
, \\'e
, \\'{e}
, {\\'e}
, etc.), but none is rendered as an accented character in the PDF or HTML output.
I want my References section (i.e. \references{}
) to be rendered with accented characters, but I do not want to type non-ASCII characters in my Rd
files. Is there good/recommended practice? Should I simply replace non-ASCII characters with their ASCII equivalents (é → e, ø → o)?
To be clear, I know it is possible to type accented characters (e.g., é
) directly in UTF-8-encoded files, but I would prefer to keep ASCII-encoded files.
This question is not about
- how to type special/accented letters in LaTeX
- how to use UTF-8 in LaTeX
- accents/special characters in R Markdown
or variants.
Minimal test packagePackage structure
...ANSWER
Answered 2022-Feb-07 at 16:21Using math mode it works. Not sure 100% if this is what you are looking for.
Here are some examples:
QUESTION
I am currently having issue with the implementation of the Metropolis-Hastings algorithm.
I am trying to use the algorithm to calculate integrals of the form
In using this algorithm, we can obtain a long chain of configurations ( in this case, each configuration is just a single numbers) such that in the tail-end of the chain the probability of having a particular configuration follows (or rather tends to) a gaussian distribution.
My code seems to be messing up with obtaining the said gaussian distributions. There is a strange dependence on the transition probablity (the probablity of picking a new candidate configuration depending on the previous configuration in the chain). However, if this transition probability is symmetric, there should be no dependence on this function at all (it only affects speed at which phase space [space of potential configurations] is explored and how quickly the chain converges to the desired distribution)!
In my case I am using a normal distribution transition function (which satisfies the need to be symmetric), with width d. For each d I use I do indeed get a gaussian distribution however the standard deviation, sigma, depends on my choice of d. The resulting gaussian should have a sigma of roughly 0.701 but I find that the value I actually get depends on the parameter d, when it shouldn't.
I am not sure where the error in this code is, any help would be greatly appreciated!
...ANSWER
Answered 2022-Feb-02 at 20:28You need to save x even when it doesn't change. Otherwise the center values are under-counted, and more so as d
increases, which increases the variance.
QUESTION
I'm working on some heavy algorithm, and now I'm trying to make it multithreaded. It has a loop with 2 nested loops:
...ANSWER
Answered 2021-Dec-20 at 09:25A third attempt:
I've taken your code, and at last got it to run properly (in python):
QUESTION
Let's say I have the following rmd:
...ANSWER
Answered 2022-Jan-31 at 22:52Your code should look like this:
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Install latex
You can use latex 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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