iframe-proxy | Sunbelt Computer Software

History

225 lines (181 loc) · 7.27 KB

Raw

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

"""Contains classes for generating hatch patterns."""

import numpy as np

from matplotlib import _api

from matplotlib.path import Path

class HatchPatternBase:

"""The base class for a hatch pattern."""

pass

class HorizontalHatch(HatchPatternBase):

def __init__(self, hatch, density):

self.num_lines = int((hatch.count('-') + hatch.count('+')) * density)

self.num_vertices = self.num_lines * 2

def set_vertices_and_codes(self, vertices, codes):

steps, stepsize = np.linspace(0.0, 1.0, self.num_lines, False,

retstep=True)

steps += stepsize / 2.

vertices[0::2, 0] = 0.0

vertices[0::2, 1] = steps

vertices[1::2, 0] = 1.0

vertices[1::2, 1] = steps

codes[0::2] = Path.MOVETO

codes[1::2] = Path.LINETO

class VerticalHatch(HatchPatternBase):

def __init__(self, hatch, density):

self.num_lines = int((hatch.count('|') + hatch.count('+')) * density)

self.num_vertices = self.num_lines * 2

def set_vertices_and_codes(self, vertices, codes):

steps, stepsize = np.linspace(0.0, 1.0, self.num_lines, False,

retstep=True)

steps += stepsize / 2.

vertices[0::2, 0] = steps

vertices[0::2, 1] = 0.0

vertices[1::2, 0] = steps

vertices[1::2, 1] = 1.0

codes[0::2] = Path.MOVETO

codes[1::2] = Path.LINETO

class NorthEastHatch(HatchPatternBase):

def __init__(self, hatch, density):

self.num_lines = int(

(hatch.count('/') + hatch.count('x') + hatch.count('X')) * density)

if self.num_lines:

self.num_vertices = (self.num_lines + 1) * 2

else:

self.num_vertices = 0

def set_vertices_and_codes(self, vertices, codes):

steps = np.linspace(-0.5, 0.5, self.num_lines + 1)

vertices[0::2, 0] = 0.0 + steps

vertices[0::2, 1] = 0.0 - steps

vertices[1::2, 0] = 1.0 + steps

vertices[1::2, 1] = 1.0 - steps

codes[0::2] = Path.MOVETO

codes[1::2] = Path.LINETO

class SouthEastHatch(HatchPatternBase):

def __init__(self, hatch, density):

self.num_lines = int(

(hatch.count('\\') + hatch.count('x') + hatch.count('X'))

* density)

if self.num_lines:

self.num_vertices = (self.num_lines + 1) * 2

else:

self.num_vertices = 0

def set_vertices_and_codes(self, vertices, codes):

steps = np.linspace(-0.5, 0.5, self.num_lines + 1)

vertices[0::2, 0] = 0.0 + steps

vertices[0::2, 1] = 1.0 + steps

vertices[1::2, 0] = 1.0 + steps

vertices[1::2, 1] = 0.0 + steps

codes[0::2] = Path.MOVETO

codes[1::2] = Path.LINETO

class Shapes(HatchPatternBase):

filled = False

def __init__(self, hatch, density):

if self.num_rows == 0:

self.num_shapes = 0

self.num_vertices = 0

else:

self.num_shapes = ((self.num_rows // 2 + 1) * (self.num_rows + 1) +

(self.num_rows // 2) * self.num_rows)

self.num_vertices = (self.num_shapes *

len(self.shape_vertices) *

(1 if self.filled else 2))

def set_vertices_and_codes(self, vertices, codes):

offset = 1.0 / self.num_rows

shape_vertices = self.shape_vertices * offset * self.size

shape_codes = self.shape_codes

if not self.filled:

shape_vertices = np.concatenate( # Forward, then backward.

[shape_vertices, shape_vertices[::-1] * 0.9])

shape_codes = np.concatenate([shape_codes, shape_codes])

vertices_parts = []

codes_parts = []

for row in range(self.num_rows + 1):

if row % 2 == 0:

cols = np.linspace(0, 1, self.num_rows + 1)

else:

cols = np.linspace(offset / 2, 1 - offset / 2, self.num_rows)

row_pos = row * offset

for col_pos in cols:

vertices_parts.append(shape_vertices + [col_pos, row_pos])

codes_parts.append(shape_codes)

np.concatenate(vertices_parts, out=vertices)

np.concatenate(codes_parts, out=codes)

class Circles(Shapes):

def __init__(self, hatch, density):

path = Path.unit_circle()

self.shape_vertices = path.vertices

self.shape_codes = path.codes

super().__init__(hatch, density)

class SmallCircles(Circles):

size = 0.2

def __init__(self, hatch, density):

self.num_rows = (hatch.count('o')) * density

super().__init__(hatch, density)

class LargeCircles(Circles):

size = 0.35

def __init__(self, hatch, density):

self.num_rows = (hatch.count('O')) * density

super().__init__(hatch, density)

class SmallFilledCircles(Circles):

size = 0.1

filled = True

def __init__(self, hatch, density):

self.num_rows = (hatch.count('.')) * density

super().__init__(hatch, density)

class Stars(Shapes):

size = 1.0 / 3.0

filled = True

def __init__(self, hatch, density):

self.num_rows = (hatch.count('*')) * density

path = Path.unit_regular_star(5)

self.shape_vertices = path.vertices

self.shape_codes = np.full(len(self.shape_vertices), Path.LINETO,

dtype=Path.code_type)

self.shape_codes[0] = Path.MOVETO

super().__init__(hatch, density)

_hatch_types = [

HorizontalHatch,

VerticalHatch,

NorthEastHatch,

SouthEastHatch,

SmallCircles,

LargeCircles,

SmallFilledCircles,

Stars

]

def _validate_hatch_pattern(hatch):

valid_hatch_patterns = set(r'-+|/\xXoO.*')

if hatch is not None:

invalids = set(hatch).difference(valid_hatch_patterns)

if invalids:

valid = ''.join(sorted(valid_hatch_patterns))

invalids = ''.join(sorted(invalids))

_api.warn_deprecated(

'3.4',

removal='3.9', # one release after custom hatches (#20690)

message=f'hatch must consist of a string of "{valid}" or '

'None, but found the following invalid values '

f'"{invalids}". Passing invalid values is deprecated '

'since %(since)s and will become an error %(removal)s.'

)

def get_path(hatchpattern, density=6):

"""

Given a hatch specifier, *hatchpattern*, generates Path to render

the hatch in a unit square. *density* is the number of lines per

unit square.

"""

density = int(density)

patterns = [hatch_type(hatchpattern, density)

for hatch_type in _hatch_types]

num_vertices = sum([pattern.num_vertices for pattern in patterns])

if num_vertices == 0:

return Path(np.empty((0, 2)))

vertices = np.empty((num_vertices, 2))

codes = np.empty(num_vertices, Path.code_type)

cursor = 0

for pattern in patterns:

if pattern.num_vertices != 0:

vertices_chunk = vertices[cursor:cursor + pattern.num_vertices]

codes_chunk = codes[cursor:cursor + pattern.num_vertices]

pattern.set_vertices_and_codes(vertices_chunk, codes_chunk)

cursor += pattern.num_vertices

return Path(vertices, codes)

Sunbelt Computer Software

PL/B Language Development and Support

Navigation Menu

Uh oh!

Uh oh!

Sunbelt Computer Software

PL/B Language Development and Support

Uh oh!

Uh oh!

FilesExpand file tree

hatch.py

Latest commit

History

hatch.py

File metadata and controls