I am using python 3.7 with PyCharm on Windows 10. I have a Tex file and want to generate a pdf with pdflatex.
pdfl = PDFLaTeX.from_texfile('test.tex')
pdf, log, completed_process = pdfl.create_pdf(keep_pdf_file=True, keep_log_file=True)
I keep receiving the following error: FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\myusername\AppData\Local\Temp\tmps48h0jgi\file.pdf'
The program tries to find a certain file.pdf in my user folder in a temp folder.
(Texlive and TexStudio is also installed and working.)
What am I doing wrong?
Thanks.
Just specify where your .tex file is located.
def tex_pdf():
current_path = os.path.dirname(os.path.dirname(__file__))
media_folder = os.path.join(current_path, 'media/')
with open(f'{media_folder}tex/sometexfile.tex', 'w') as file:
file.write('\\documentclass{article}\n')
file.write('\\begin{document}\n')
file.write('Hello Palo Alto!\n')
file.write('\\end{document}\n')
pdfl = PDFLaTeX.from_texfile(f'{media_folder}tex/sometexfile.tex')
pdf = pdfl.create_pdf(keep_pdf_file=True, keep_log_file=False)
Related
I'm totally new to neovim. I already snap-installed neovim (Ubuntu) and I want now to install nvim-tree.
The documentation confuses me.
Here is my file .config/nvim/init.vim
call plug#begin(has('nvim') ? stdpath('data') . '/plugged' : '~/.vim/plugged')
Plug 'nvim-tree/nvim-tree.lua'
call plug#end()
Now calling :PlugInstall in neovim seems to install something.
But in the "Setup" part of the doc, it is said to add this in init.lua:
vim.g.loaded_netrw = 1
vim.g.loaded_netrwPlugin = 1
vim.opt.termguicolors = true
require("nvim-tree").setup()
Since init.vim and init.lua are exclusive, I do not know what to do.
If I remove init.vim and create the file init.lua, I get this error:
E5113: Error while calling lua chunk: /home/laurent/.config/nvim/init.lua:4: module 'nvim-tree' not foun
d:
no field package.preload['nvim-tree']
no file './nvim-tree.lua'
no file '/build/nvim/parts/nvim/build/.deps/usr/share/luajit-2.1.0-beta3/nvim-tree.lua'
no file '/usr/local/share/lua/5.1/nvim-tree.lua'
no file '/usr/local/share/lua/5.1/nvim-tree/init.lua'
no file '/build/nvim/parts/nvim/build/.deps/usr/share/lua/5.1/nvim-tree.lua'
no file '/build/nvim/parts/nvim/build/.deps/usr/share/lua/5.1/nvim-tree/init.lua'
no file './nvim-tree.so'
no file '/usr/local/lib/lua/5.1/nvim-tree.so'
no file '/build/nvim/parts/nvim/build/.deps/usr/lib/lua/5.1/nvim-tree.so'
no file '/usr/local/lib/lua/5.1/loadall.so'
stack traceback:
[C]: in function 'require'
/home/laurent/.config/nvim/init.lua:4: in main chunk
QUESTIONS:
Do I have to stick with init.vim or init.lua (or is it a choice with no consequences ?)
How do I install/use the plugin nvim-tree ?
Answer to myself. It turns out that this works:
In ~/.config/nvim/init.vim:
call plug#begin(has('nvim') ? stdpath('data') . '/plugged' : '~/.vim/plugged')
Plug 'nvim-tree/nvim-tree.lua'
call plug#end()
lua << EOF
vim.g.loaded_netrw = 1
vim.g.loaded_netrwPlugin = 1
vim.opt.termguicolors = true
require("nvim-tree").setup()
EOF
Then in neovim: :PlugInstall.
But I'm far from being sure that this is a good solution.
When I am trying to read many h5 files in one shoot. There is an OS error states like this:
OSError: Unable to open file (unable to open file: name = '/scratch-lustre/hpc-0227/deepcpgData/c{1,2,3,4,5,7,9,11,13}_*.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
I am sure all of these files exist and files' name corresponded with c{1,2,3,4,5,7,9,11,13}_*.h5 rightly. I am also using absolute path. My bash script looks like this:
data_dir="/scratch-lustre/hpc-0227/deepcpgData"
train_files="$data_dir/c{1,2,3,4,5,7,9,11,13}_*.h5"
It works when I use the full name of a single file, for example, c16_1572864-1605632.h5. However, I need to read a lot of files. So I have to read them in one round. I have searched many other answers but none of them deal with multiple files and the os error at the same time.
I have generated a box file from a png image then I followed this tutorial:
https://pretius.com/how-to-prepare-training-files-for-tesseract-ocr-and-improve-characters-recognition/ to generate custom traineddata file.
I encountered an error when I tried to use the generated traineddata alongside with Pytesseract.
and i got this kind of error:
raise TesseractError(proc.returncode, get_errors(error_string))
pytesseract.pytesseract.TesseractError: (-4, "read_params_file:
Can't open txt read_params_file: Can't open txt read_params_file: Can't open txt read_params_file: Can't open txt Error: LSTM requested, but not present!! Loading tesseract. mgr->GetComponent(TESSDATA_NORMPROTO, &fp)
:Error:Assert failed:in file adaptmatch.cpp, line 552")
I'm using Tesseract version 5.0
This is my config options
traineddata = f'+eng+lav+lav2'
config = f'-l {traineddata} --oem 1 --psm 3 {tessdata_dir}'
I followed the same tutorial and encountered the exact same error. At my first tries the ***.traineddata didn't generated well, and I findout that one file was missing (normproto). So I just cleaned all the generated files (except the corrected .box files) and rerun the train process, and everything worked fine on the second attempt.
I am running a pyspark job on AWS-EMR and I got the following error:
IOError: [Errno 20] Not a directory: '/mnt/yarn/usercache/hadoop/filecache/12/my_common-9.0-py2.7.egg/my_common/data_tools/myData.yaml'
Does anyone know what I might have missed? Thanks!
I've run into this recently when I switched my Python Spark application from Client deploy mode to Cluster deploy mode.
My workaround is to locate the ZIP file (the artifact that I fed to spark-submit using --py-files):
CURRENT_FILE_PATH = os.path.dirname(__file__)
print("[DEBUG] CURRENT_FILE_PATH=" + CURRENT_FILE_PATH)
It comes out something like this:
/mnt2/yarn/usercache/task/appcache/application_1638998214637_0019/container_1638998214637_0019_02_000001/something.zip
then I can use something like:
import zipfile
archive = zipfile.ZipFile(CURRENT_FILE_PATH, 'r')
json_bytes = archive.read('myfile.json')
json_string = json.loads(json_bytes)
Note: I first tried using pkg_resources but couldn't read in the
resulting JSON due to TypeError from json.loads():
import pkg_resources
json_data = pkg_resources.resource_stream(__name__, 'myfile.json')
See also PySpark: how to resolve path of a resource file present inside the dependency zip file
As the error states my_common-9.0-py2.7.egg is not a directory.
Are you missing space in your path?
/mnt/yarn/usercache/hadoop/filecache/12/my_common-9.0-py2.7.egg /my_common/data_tools/myData.yaml
i tried using this link http://www.apple.com/itunes/affiliates/resources/documentation/epfimporter.html
-----------------------
*Below is the script i executed..*
C:\Documents and Settings\freakk>python D:\freakk\Downloads\EPF_Itunes\EPFImporter\E
PFimporter.py \D:\freakk\Downloads\EPF_Itunes\EPFImporter\db\album_popularity_per_
genre
-----------------------
*But i am getting these errors*
2011-10-12 18:24:00,529 [INFO]: Beginning import for the following directories:
\D:\freakk\Downloads\EPF_Itunes\EPFImporter\db\album_popularity_per_genre
2011-10-12 18:24:00,529 [INFO]: Importing files in \D:\freakk\Downloads\EPF_Itunes
\EPFImporter\db\album_popularity_per_genre
Traceback (most recent call last):
File "D:\freakk\Downloads\EPF_Itunes\EPFImporter\EPFimporter.py", line 452, in <
module>
main()
File "D:\freakk\Downloads\EPF_Itunes\EPFImporter\EPFimporter.py", line 435, in m
ain
fieldDelim=fieldSep)
File "D:\freakk\Downloads\EPF_Itunes\EPFImporter\EPFimporter.py", line 162, in d
oImport
fileList = os.listdir(dirPath)
WindowsError: [Error 123] The filename, directory name, or volume label syntax i
s incorrect: 'C:\\D:\\freakk\\Downloads\\EPF_Itunes\\EPFImporter\\db\\album_popula
rity_per_genre/*.*'
please help me....
See the error log its saying you incorrect syntax
C:\\D:\\freakk\\Downloads\\EPF_Itunes\\EPFImporter\\db\\album_popularity_per_genre/*.*
and tell me how can D directory be in C? its not getting the correct path to reach there.
EPFImporter's this code is basically for Mac OS and it assumes that you are in same directory as of EPFImporter.py and in Mac OS everything is in same Directory (as mac is designed).
C:\Documents and Settings\freakk>python D:\freakk\Downloads\EPF_Itunes\EPFImporter\EPFimporter.py \D:\freakk\Downloads\EPF_Itunes\EPFImporter\db\album_popularity_per_genre
above command will not find either of your EPFImporter.py or album_popularity_per_genre.
change your directory to D from C and go to the directory of EPFImporter.py then try as
.....EPFImporter>python EPFImporter.py db\album_popularity_per_genre
assuming you are in same folder of EPFImporter, not tested but something like this may work for you. Hope this answer made you a bit clear on this.
Solved !
I was trying to import only partial data without main table.
Tried to import flat feed...it worked.
Code:
For Flat Feed
C:\Documents and Settings\freakk>python c:\epf\epfimporter.py -f c:\epf\db\application-usa-20111012
Note: Don't include file name(application-usa-20111012.txt)..restrict till folder name only (Eg:application-usa-20111012)