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1r""" 

2A module for parsing a subset of the TeX math syntax and rendering it to a 

3Matplotlib backend. 

4 

5For a tutorial of its usage, see :ref:`mathtext`. This 

6document is primarily concerned with implementation details. 

7 

8The module uses pyparsing_ to parse the TeX expression. 

9 

10.. _pyparsing: https://pypi.org/project/pyparsing/ 

11 

12The Bakoma distribution of the TeX Computer Modern fonts, and STIX 

13fonts are supported. There is experimental support for using 

14arbitrary fonts, but results may vary without proper tweaking and 

15metrics for those fonts. 

16""" 

17 

18import functools 

19import logging 

20 

21import matplotlib as mpl 

22from matplotlib import _api, _mathtext 

23from matplotlib.ft2font import LOAD_NO_HINTING 

24from matplotlib.font_manager import FontProperties 

25from ._mathtext import ( # noqa: reexported API 

26 RasterParse, VectorParse, get_unicode_index) 

27 

28_log = logging.getLogger(__name__) 

29 

30 

31get_unicode_index.__module__ = __name__ 

32 

33############################################################################## 

34# MAIN 

35 

36 

37class MathTextParser: 

38 _parser = None 

39 _font_type_mapping = { 

40 'cm': _mathtext.BakomaFonts, 

41 'dejavuserif': _mathtext.DejaVuSerifFonts, 

42 'dejavusans': _mathtext.DejaVuSansFonts, 

43 'stix': _mathtext.StixFonts, 

44 'stixsans': _mathtext.StixSansFonts, 

45 'custom': _mathtext.UnicodeFonts, 

46 } 

47 

48 def __init__(self, output): 

49 """ 

50 Create a MathTextParser for the given backend *output*. 

51 

52 Parameters 

53 ---------- 

54 output : {"path", "agg"} 

55 Whether to return a `VectorParse` ("path") or a 

56 `RasterParse` ("agg", or its synonym "macosx"). 

57 """ 

58 self._output_type = _api.check_getitem( 

59 {"path": "vector", "agg": "raster", "macosx": "raster"}, 

60 output=output.lower()) 

61 

62 def parse(self, s, dpi=72, prop=None, *, antialiased=None): 

63 """ 

64 Parse the given math expression *s* at the given *dpi*. If *prop* is 

65 provided, it is a `.FontProperties` object specifying the "default" 

66 font to use in the math expression, used for all non-math text. 

67 

68 The results are cached, so multiple calls to `parse` 

69 with the same expression should be fast. 

70 

71 Depending on the *output* type, this returns either a `VectorParse` or 

72 a `RasterParse`. 

73 """ 

74 # lru_cache can't decorate parse() directly because prop 

75 # is mutable; key the cache using an internal copy (see 

76 # text._get_text_metrics_with_cache for a similar case). 

77 prop = prop.copy() if prop is not None else None 

78 antialiased = mpl._val_or_rc(antialiased, 'text.antialiased') 

79 return self._parse_cached(s, dpi, prop, antialiased) 

80 

81 @functools.lru_cache(50) 

82 def _parse_cached(self, s, dpi, prop, antialiased): 

83 from matplotlib.backends import backend_agg 

84 

85 if prop is None: 

86 prop = FontProperties() 

87 fontset_class = _api.check_getitem( 

88 self._font_type_mapping, fontset=prop.get_math_fontfamily()) 

89 load_glyph_flags = { 

90 "vector": LOAD_NO_HINTING, 

91 "raster": backend_agg.get_hinting_flag(), 

92 }[self._output_type] 

93 fontset = fontset_class(prop, load_glyph_flags) 

94 

95 fontsize = prop.get_size_in_points() 

96 

97 if self._parser is None: # Cache the parser globally. 

98 self.__class__._parser = _mathtext.Parser() 

99 

100 box = self._parser.parse(s, fontset, fontsize, dpi) 

101 output = _mathtext.ship(box) 

102 if self._output_type == "vector": 

103 return output.to_vector() 

104 elif self._output_type == "raster": 

105 return output.to_raster(antialiased=antialiased) 

106 

107 

108def math_to_image(s, filename_or_obj, prop=None, dpi=None, format=None, 

109 *, color=None): 

110 """ 

111 Given a math expression, renders it in a closely-clipped bounding 

112 box to an image file. 

113 

114 Parameters 

115 ---------- 

116 s : str 

117 A math expression. The math portion must be enclosed in dollar signs. 

118 filename_or_obj : str or path-like or file-like 

119 Where to write the image data. 

120 prop : `.FontProperties`, optional 

121 The size and style of the text. 

122 dpi : float, optional 

123 The output dpi. If not set, the dpi is determined as for 

124 `.Figure.savefig`. 

125 format : str, optional 

126 The output format, e.g., 'svg', 'pdf', 'ps' or 'png'. If not set, the 

127 format is determined as for `.Figure.savefig`. 

128 color : str, optional 

129 Foreground color, defaults to :rc:`text.color`. 

130 """ 

131 from matplotlib import figure 

132 

133 parser = MathTextParser('path') 

134 width, height, depth, _, _ = parser.parse(s, dpi=72, prop=prop) 

135 

136 fig = figure.Figure(figsize=(width / 72.0, height / 72.0)) 

137 fig.text(0, depth/height, s, fontproperties=prop, color=color) 

138 fig.savefig(filename_or_obj, dpi=dpi, format=format) 

139 

140 return depth