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Composing Programs PDF Producer
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| import subprocess | |
| import os | |
| open('pages.txt', 'a').close() | |
| if not os.path.exists('pages'): | |
| os.makedirs('pages') | |
| if not os.path.exists('output'): | |
| os.makedirs('output') | |
| output_pages = os.path.join('output', 'pages') | |
| if not os.path.exists(output_pages): | |
| os.makedirs(output_pages) | |
| output_chapters = os.path.join('output', 'chapters') | |
| if not os.path.exists(output_chapters): | |
| os.makedirs(output_chapters) | |
| with open('pages.txt') as f: | |
| pages = [line.rstrip('\n') for line in f] | |
| total_pages = len(pages) | |
| chapters = [[], [], [], []] # we will assume 4 chapters | |
| for i in range(total_pages): | |
| page = pages[i] | |
| page_file_name = os.path.join('pages', '{}.html'.format(page)) | |
| ci = int(page[0]) - 1 # chapter index | |
| chapters[ci].append(page_file_name) | |
| if os.path.exists(page_file_name): | |
| print('Page {} already downloaded'.format(page)) | |
| else: | |
| process = subprocess.Popen(['ruby', 'html_cleanup.rb', 'http://composingprograms.com/pages/{}.html'.format(page)], stdout=subprocess.PIPE) | |
| cleaned_html = process.communicate()[0] | |
| f = open(page_file_name, 'wb') | |
| f.write(cleaned_html) | |
| f.close() | |
| print('Downloaded page {}'.format(page)) | |
| output_file_name = os.path.join('output', 'pages', '{}.pdf'.format(page)) | |
| process = subprocess.Popen(['pandoc', '-f', 'html+tex_math_dollars', '-o', output_file_name, '--pdf-engine=xelatex', '--include-in-header', 'fontoptions.tex', page_file_name]) | |
| process.wait() | |
| print('{}/{} page PDFs produced'.format(i + 1, total_pages)) | |
| total_chapters = len(chapters) | |
| for i in range(total_chapters): | |
| if len(chapters[i]) == 0: | |
| continue | |
| output_file_name = os.path.join('output', 'chapters', 'chapter{}.pdf'.format(i + 1)) | |
| command = ['pandoc', '-f', 'html+tex_math_dollars', '-o', output_file_name, '--pdf-engine=xelatex', '--include-in-header', 'fontoptions.tex'] | |
| chapters[i].sort() | |
| command = [*command, *chapters[i]] | |
| process = subprocess.Popen(command) | |
| process.wait() | |
| print('{}/{} chapter PDFs produced'.format(i + 1, total_chapters)) |
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| \setmainfont[ | |
| BoldFont = DejaVuSerif-Bold.ttf, | |
| ItalicFont = DejaVuSerif-Italic.ttf, | |
| BoldItalicFont = DejaVuSerif-BoldItalic.ttf | |
| ]{DejaVuSerif.ttf} | |
| \setsansfont[ | |
| BoldFont = DejaVuSans-Bold.ttf, | |
| ItalicFont = DejaVuSans-Oblique.ttf, | |
| BoldItalicFont = DejaVuSans-BoldOblique.ttf | |
| ]{DejaVuSans.ttf} | |
| \setmonofont[ | |
| BoldFont = DejaVuSansMono-Bold.ttf, | |
| ItalicFont = DejaVuSansMono-Oblique.ttf, | |
| BoldItalicFont = DejaVuSansMono-BoldOblique.ttf | |
| ]{DejaVuSansMono.ttf} | |
| \setmathfont{DejaVuMathTeXGyre.ttf} |
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| require 'nokogiri' | |
| require 'open-uri' | |
| input = ARGV[0] | |
| page = Nokogiri::HTML(open(input)) | |
| page.css('.example').each do |elem| | |
| elem.inner_html = '<i>Environment diagram omitted.</i>' | |
| end | |
| page.css('img').remove | |
| page.xpath('//div[contains(@class, "youtube")]').remove | |
| page.css('p').each do |p| | |
| p.remove if p.children.length > 0 and p.children[0].inner_html == 'Continue' | |
| end | |
| puts page.css('.inner-content').inner_html |
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| 11-getting-started | |
| 12-elements-of-programming | |
| 13-defining-new-functions | |
| 14-designing-functions | |
| 15-control | |
| 16-higher-order-functions | |
| 17-recursive-functions | |
| 21-introduction | |
| 22-data-abstraction | |
| 23-sequences | |
| 24-mutable-data | |
| 25-object-oriented-programming | |
| 26-implementing-classes-and-objects | |
| 27-object-abstraction | |
| 28-efficiency | |
| 29-recursive-objects | |
| 31-introduction | |
| 32-functional-programming | |
| 33-exceptions | |
| 34-interpreters-for-languages-with-combination | |
| 35-interpreters-for-languages-with-abstraction | |
| 41-introduction | |
| 42-implicit-sequences | |
| 43-declarative-programming | |
| 44-logic-programming | |
| 45-unification | |
| 46-distributed-computing | |
| 47-distributed-data-processing | |
| 48-parallel-computing |
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