Image2latex

mathics/builtin/box/image.py

@@ -1,6 +1,25 @@
 # -*- coding: utf-8 -*-
 
+import base64
+import tempfile
+from copy import deepcopy
+from io import BytesIO
+from typing import Tuple
+
 from mathics.builtin.box.expression import BoxExpression
+from mathics.eval.image import pixels_as_ubyte
+
+try:
+    import warnings
+
+    import PIL
+    import PIL.Image
+    import PIL.ImageEnhance
+    import PIL.ImageFilter
+    import PIL.ImageOps
+
+except ImportError:
+    pass
 
 
 class ImageBox(BoxExpression):
@@ -13,18 +32,80 @@ class ImageBox(BoxExpression):
     an Image object.
     """
 
+    def boxes_to_b64text(self, elements=None, **options):
+        contents, size = self.boxes_to_png(elements, **options)
+        encoded = base64.b64encode(contents)
+        encoded = b"data:image/png;base64," + encoded
+        return encoded, size
+
+    def boxes_to_png(self, elements=None, **options) -> Tuple:
+        """
+        returns a tuple with the set of bytes with a png representation of the image
+        and the scaled size.
+        """
+        image = self.elements[0] if elements is None else elements[0]
+
+        pixels = pixels_as_ubyte(image.color_convert("RGB", True).pixels)
+        shape = pixels.shape
+
+        width = shape[1]
+        height = shape[0]
+        scaled_width = width
+        scaled_height = height
+
+        # If the image was created from PIL, use that rather than
+        # reconstruct it from pixels which we can get wrong.
+        # In particular getting color-mapping info right can be
+        # tricky.
+        if hasattr(image, "pillow"):
+            pillow = deepcopy(image.pillow)
+        else:
+            pixels_format = "RGBA" if len(shape) >= 3 and shape[2] == 4 else "RGB"
+            pillow = PIL.Image.fromarray(pixels, pixels_format)
+
+        # if the image is very small, scale it up using nearest neighbour.
+        min_size = 128
+        if width < min_size and height < min_size:
+            scale = min_size / max(width, height)
+            scaled_width = int(scale * width)
+            scaled_height = int(scale * height)
+            pillow = pillow.resize(
+                (scaled_height, scaled_width), resample=PIL.Image.NEAREST
+            )
+
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+
+            stream = BytesIO()
+            pillow.save(stream, format="png")
+            stream.seek(0)
+            contents = stream.read()
+            stream.close()
+
+        return (contents, (scaled_width, scaled_height))
+
     def boxes_to_text(self, elements=None, **options):
         return "-Image-"
 
     def boxes_to_mathml(self, elements=None, **options):
-        if elements is None:
-            elements = self._elements
+        encoded, size = self.boxes_to_b64text(elements, **options)
         # see https://tools.ietf.org/html/rfc2397
-        return '<mglyph src="%s" width="%dpx" height="%dpx" />' % (
-            elements[0].get_string_value(),
-            elements[1].get_int_value(),
-            elements[2].get_int_value(),
-        )
+        return '<mglyph src="%s" width="%dpx" height="%dpx" />' % (encoded, *size)
 
     def boxes_to_tex(self, elements=None, **options):
-        return "-Image-"
+        data, size = self.boxes_to_png(elements, **options)
+        res = 100  # pixels/cm
+        width_str, height_str = (str(n / res).strip() for n in size)
+        head = rf"\includegraphics[width={width_str}cm,height={height_str}cm]"
+
+        # This produces a random name, where the png file is going to be stored.
+        # LaTeX does not have a native way to store an figure embeded in
+        # the source.
+        fp = tempfile.NamedTemporaryFile(delete=True, suffix=".png")
+        path = fp.name
+        fp.close()
+
+        with open(path, "wb") as imgfile:
+            imgfile.write(data)
+
+        return head + "{" + format(path) + "}"

mathics/builtin/image/base.py

@@ -1,12 +1,9 @@
-import base64
-from copy import deepcopy
-from io import BytesIO
 from typing import Tuple
 
 from mathics.builtin.base import AtomBuiltin, String
 from mathics.builtin.box.image import ImageBox
 from mathics.builtin.colors.color_internals import convert_color
-from mathics.core.atoms import Atom, Integer
+from mathics.core.atoms import Atom
 from mathics.core.evaluation import Evaluation
 from mathics.core.expression import Expression
 from mathics.core.list import ListExpression
@@ -17,8 +14,6 @@
 
 
 try:
-    import warnings
-
     import numpy
     import PIL
     import PIL.Image
@@ -91,51 +86,7 @@ def atom_to_boxes(self, form, evaluation: Evaluation) -> ImageBox:
         """
         Converts our internal Image object into a PNG base64-encoded.
         """
-        pixels = pixels_as_ubyte(self.color_convert("RGB", True).pixels)
-        shape = pixels.shape
-
-        width = shape[1]
-        height = shape[0]
-        scaled_width = width
-        scaled_height = height
-
-        # If the image was created from PIL, use that rather than
-        # reconstruct it from pixels which we can get wrong.
-        # In particular getting color-mapping info right can be
-        # tricky.
-        if hasattr(self, "pillow"):
-            pillow = deepcopy(self.pillow)
-        else:
-            pixels_format = "RGBA" if len(shape) >= 3 and shape[2] == 4 else "RGB"
-            pillow = PIL.Image.fromarray(pixels, pixels_format)
-
-        # if the image is very small, scale it up using nearest neighbour.
-        min_size = 128
-        if width < min_size and height < min_size:
-            scale = min_size / max(width, height)
-            scaled_width = int(scale * width)
-            scaled_height = int(scale * height)
-            pillow = pillow.resize(
-                (scaled_height, scaled_width), resample=PIL.Image.NEAREST
-            )
-
-        with warnings.catch_warnings():
-            warnings.simplefilter("ignore")
-
-            stream = BytesIO()
-            pillow.save(stream, format="png")
-            stream.seek(0)
-            contents = stream.read()
-            stream.close()
-
-        encoded = base64.b64encode(contents)
-        encoded = b"data:image/png;base64," + encoded
-
-        return ImageBox(
-            String(encoded.decode("utf-8")),
-            Integer(scaled_width),
-            Integer(scaled_height),
-        )
+        return ImageBox(self)
 
     # __hash__ is defined so that we can store Number-derived objects
     # in a set or dictionary.

mathics/doc/latex_doc.py

@@ -79,8 +79,8 @@
     r"(?P<content>.*?)\\end\{(?P=tag)\}"
 )
 
-LATEX_TESTOUT_DELIM_RE = re.compile(r",")
-NUMBER_RE = re.compile(r"(\d*(?<!\.)\.\d+|\d+\.(?!\.)\d*|\d+)")
+LATEX_TESTOUT_DELIM_RE = re.compile(r", ")
+NUMBER_RE = re.compile(r"([ -])(\d*(?<!\.)\.\d+|\d+\.(?!\.)\d*|\d+)")
 OUTSIDE_ASY_RE = re.compile(r"(?s)((?:^|\\end\{asy\}).*?(?:$|\\begin\{asy\}))")
 
 
@@ -366,13 +366,13 @@ def repl_text(match):
         return text
 
     def repl_out_delim(match):
-        return ",\\allowbreak{}"
+        return ",\\allowbreak{} "
 
     def repl_number(match):
         guard = r"\allowbreak{}"
         inter_groups_pre = r"\,\discretionary{\~{}}{\~{}}{}"
         inter_groups_post = r"\discretionary{\~{}}{\~{}}{}"
-        number = match.group(1)
+        number = match.group(1) + match.group(2)
         parts = number.split(".")
         if len(number) <= 3:
             return number