pszemraj / confectionary Goto Github PK

 'SUMM OCR Pałczyński et al. - 2022 - Study of the Few-S .txt',
 'SUMM OCR Refinetti, Goldt - 2022 - The dynamics of repr .txt',
 'SUMM OCR Sercan, Arık, Pfister - 2019 - TabNet Attenti .txt',
 'SUMM OCR Serhal et al. - 2022 - Overview on prediction, .txt',
 'SUMM OCR Somani et al. - 2021 - Deep learning and the e .txt',
 'SUMM OCR Somepalli et al. - 2021 - SAINT Improved Neura .txt',
 'SUMM OCR Śmigiel, Pałczyński, Ledziński - 2021 - ECG .txt',

(pdf) C:\Users\peter\code-dev-22\misc-repos\text2pdf>python confectionary\text2pdf.py -i "G:\My Drive\ETHZ-2022-S\ml-healthcare\ml4hc-p1-papers\LED_large_5e_[batch=2048]_[nbeams=20]_[max_l=512]\NSC + SBD" -kw "ML4HC Paper Summaries - Project 1 - LED-L-5e"
18 files found matching extension .txt

# entries is 18, < title thresh 39
will use one page for TOC

Building Chapters in PDF file:   0%|                                                            | 0/18 [00:00<?, ?it/s]Traceback (most recent call last):
  File "C:\Users\peter\code-dev-22\misc-repos\text2pdf\confectionary\text2pdf.py", line 354, in <module>
    _finished_pdf_loc = dir_to_pdf(
  File "C:\Users\peter\code-dev-22\misc-repos\text2pdf\confectionary\text2pdf.py", line 255, in dir_to_pdf
    pdf.print_chapter(filepath=str(textfile.resolve()), num=i, title=out_name)
  File "C:\Users\peter\miniconda3\envs\pdf\lib\site-packages\confectionary\pdf.py", line 300, in print_chapter
    self.chapter_title(num, title)
  File "C:\Users\peter\miniconda3\envs\pdf\lib\site-packages\confectionary\pdf.py", line 207, in chapter_title
    self.start_section(total_title)
  File "C:\Users\peter\miniconda3\envs\pdf\lib\site-packages\fpdf\fpdf.py", line 221, in wrapper
    return fn(self, *args, **kwargs)
  File "C:\Users\peter\miniconda3\envs\pdf\lib\site-packages\fpdf\fpdf.py", line 4040, in start_section
    self.multi_cell(w=self.epw, h=self.font_size, txt=name, ln=1)
  File "C:\Users\peter\miniconda3\envs\pdf\lib\site-packages\fpdf\fpdf.py", line 221, in wrapper
    return fn(self, *args, **kwargs)
  File "C:\Users\peter\miniconda3\envs\pdf\lib\site-packages\fpdf\fpdf.py", line 2375, in multi_cell
    txt = self.normalize_text(txt)
  File "C:\Users\peter\miniconda3\envs\pdf\lib\site-packages\fpdf\fpdf.py", line 2945, in normalize_text
    return txt.encode(self.core_fonts_encoding).decode("latin-1")
UnicodeEncodeError: 'latin-1' codec can't encode character '\u0131' in position 33: ordinal not in range(256)