mirror of
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153 lines
4.7 KiB
Python
153 lines
4.7 KiB
Python
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from image_mobject import ImageMobject
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from helpers import *
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#TODO, Cleanup and refactor this file.
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#TODO, Make both of these proper mobject classes
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def text_mobject(text, size = None):
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size = size or "\\Large" #TODO, auto-adjust?
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return tex_mobject(text, size, TEMPLATE_TEXT_FILE)
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def tex_mobject(expression,
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size = None,
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template_tex_file = TEMPLATE_TEX_FILE):
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if size == None:
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if len("".join(expression)) < MAX_LEN_FOR_HUGE_TEX_FONT:
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size = "\\Huge"
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else:
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size = "\\large"
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#Todo, make this more sophisticated.
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image_files = tex_to_image(expression, size, template_tex_file)
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config = {
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"point_thickness" : 1,
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"should_center" : False,
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}
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if isinstance(image_files, list):
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#TODO, is checking listiness really the best here?
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result = CompoundMobject(*[
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ImageMobject(f, **config)
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for f in image_files
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])
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else:
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result = ImageMobject(image_files, **config)
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return result.center().highlight("white")
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def underbrace(left, right, buff = 0.2):
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result = tex_mobject("\\underbrace{%s}"%(14*"\\quad"))
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result.stretch_to_fit_width(right[0]-left[0])
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result.shift(left - result.points[0] + buff*DOWN)
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return result
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def tex_to_image(expression,
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size = "\HUGE",
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template_tex_file = TEMPLATE_TEX_FILE):
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"""
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Returns list of images for correpsonding with a list of expressions
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"""
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return_list = isinstance(expression, list)
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simple_tex = "".join(expression)
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if return_list:
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expression = tex_expression_list_as_string(expression)
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exp_hash = str(hash(expression + size))
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image_dir = os.path.join(TEX_IMAGE_DIR, exp_hash)
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if os.path.exists(image_dir):
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result = [
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os.path.join(image_dir, png_file)
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for png_file in sorted(
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os.listdir(image_dir),
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cmp_enumerated_files
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)
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]
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else:
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filestem = os.path.join(TEX_DIR, exp_hash)
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if not os.path.exists(filestem + ".tex"):
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print "Writing %s at size %s to %s.tex"%(
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simple_tex, size, filestem
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)
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with open(template_tex_file, "r") as infile:
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body = infile.read()
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body = body.replace(SIZE_TO_REPLACE, size)
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body = body.replace(TEX_TEXT_TO_REPLACE, expression)
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with open(filestem + ".tex", "w") as outfile:
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outfile.write(body)
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if not os.path.exists(filestem + ".dvi"):
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commands = [
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"latex",
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"-interaction=batchmode",
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"-output-directory=" + TEX_DIR,
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filestem + ".tex",
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"> /dev/null"
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]
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#TODO, Error check
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os.system(" ".join(commands))
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result = dvi_to_png(filestem + ".dvi")
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return result if return_list else result[0]
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def tex_expression_list_as_string(expression):
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return "\n".join([
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"\onslide<%d>{"%count + exp + "}"
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for count, exp in zip(it.count(1), expression)
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])
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def dvi_to_png(filename, regen_if_exists = False):
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"""
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Converts a dvi, which potentially has multiple slides, into a
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directory full of enumerated pngs corresponding with these slides.
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Returns a list of PIL Image objects for these images sorted as they
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where in the dvi
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"""
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possible_paths = [
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filename,
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os.path.join(TEX_DIR, filename),
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os.path.join(TEX_DIR, filename + ".dvi"),
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]
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for path in possible_paths:
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if os.path.exists(path):
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directory, filename = os.path.split(path)
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name = filename.split(".")[0]
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images_dir = os.path.join(TEX_IMAGE_DIR, name)
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if not os.path.exists(images_dir):
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os.mkdir(images_dir)
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if os.listdir(images_dir) == [] or regen_if_exists:
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commands = [
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"convert",
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"-density",
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str(PDF_DENSITY),
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path,
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"-size",
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str(DEFAULT_WIDTH) + "x" + str(DEFAULT_HEIGHT),
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os.path.join(images_dir, name + ".png")
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]
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os.system(" ".join(commands))
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image_paths = [
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os.path.join(images_dir, name)
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for name in os.listdir(images_dir)
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if name.endswith(".png")
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]
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image_paths.sort(cmp_enumerated_files)
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return image_paths
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raise IOError("File not Found")
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def cmp_enumerated_files(name1, name2):
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num1, num2 = [
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int(name.split(".")[0].split("-")[-1])
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for name in (name1, name2)
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]
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return num1 - num2
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