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cdocutils.nodes
document
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q\)q]}q^(hX8 image:: net.sf.cimg.CImgErodeSmooth.png
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pluginIconqnuh1Nh2hh3]qoubaubhP)qp}qq(hX7 *This documentation is for version 2.0 of ErodeSmooth.*qrhhhhh!hTh#}qs(h)]qth+]quh']qvh%]qwh-]qxuh1Kh2hh3]qycdocutils.nodes
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qz)q{}q|(hhrh#}q}(h)]q~h+]qh']qh%]qh-]quhhph3]qhLX5 This documentation is for version 2.0 of ErodeSmooth.q
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q}q(hhhhubaubhP)q}q (hXF Erode or dilate input stream using a normalized power-weighted filter.q¡hhhhh!hTh#}q¢(h)]q£h+]q¤h']q¥h%]q¦h-]q§uh1K
h2hh3]q¨hLXF Erode or dilate input stream using a normalized power-weighted filter.q©
qª}q«(hh¡hhubaubhP)q¬}q(hX; This gives a smoother result than the Erode or Dilate node.q®hhhhh!hTh#}q¯(h)]q°h+]q±h']q²h%]q³h-]q´uh1Kh2hh3]qµhLX; This gives a smoother result than the Erode or Dilate node.q¶
q·}q¸(hh®hh¬ubaubhP)q¹}qº(hX See "Robust local max-min filters by normalized power-weighted filtering" by L.J. van Vliet, http://dx.doi.org/10.1109/ICPR.2004.1334273q»hhhhh!hTh#}q¼(h)]q½h+]q¾h']q¿h%]qÀh-]qÁuh1Kh2hh3]qÂ(hLX] See "Robust local max-min filters by normalized power-weighted filtering" by L.J. van Vliet, qÅqÄ}qÅ(hX] See "Robust local max-min filters by normalized power-weighted filtering" by L.J. van Vliet, qÆhh¹ubcdocutils.nodes
reference
qÇ)qÈ}qÉ(hX+ http://dx.doi.org/10.1109/ICPR.2004.1334273qÊh#}qË(UrefuriqÌX+ http://dx.doi.org/10.1109/ICPR.2004.1334273qÍh%]qÎh']qÏh)]qÐh+]qÑh-]qÒuhh¹h3]qÓhLX+ http://dx.doi.org/10.1109/ICPR.2004.1334273qԅqÕ}qÖ(hU hhÈubah!U referenceq×ubeubhP)qØ}qÙ(hXB Uses the 'vanvliet' and 'deriche' functions from the CImg library.qÚhhhhh!hTh#}qÛ(h)]qÜh+]qÝh']qÞh%]qßh-]qàuh1Kh2hh3]qáhLXB Uses the 'vanvliet' and 'deriche' functions from the CImg library.q⅁qã}qä(hhÚhhØubaubhP)qå}qæ(hXÌ CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications (see http://cimg.eu).qçhhhhh!hTh#}qè(h)]qéh+]qêh']qëh%]qìh-]qíuh1Kh2hh3]qî(hLX¼ CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications (see qqð}qñ(hX¼ CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications (see qòhhåubhÇ)qó}qô(hX http://cimg.euqõh#}qö(Urefuriq÷X http://cimg.euqøh%]qùh']qúh)]qûh+]qüh-]qýuhhåh3]qþhLX http://cimg.euqÿ
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r }r (hU hju ubah!j4 ubeubah!j~ ubjg )r }r (hU h#}r (h)]r
h+]r h']r h%]r h-]r uhjU h3]r hP)r }r (hX Integerr hj hhh!hTh#}r (h)]r h+]r h']r h%]r h-]r uh1K2h3]r hLX Integerr
r }r (hj hj ubaubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r h']r h%]r h-]r uhjU h3]r hP)r¡ }r¢ (hX 5hj hhh!hTh#}r£ (h)]r¤ h+]r¥ h']r¦ h%]r§ h-]r¨ uh1K2h3]r© hLX 5
rª }r« (hX 5hj¡ ubaubah!j~ ubjg )r¬ }r (hU h#}r® (h)]r¯ h+]r° h']r± h%]r² h-]r³ uhjU h3]r´ hP)rµ }r¶ (hXd Exponent of the normalized power-weighted filter. Lower values give a smoother result. Default is 5.r· hj¬ hhh!hTh#}r¸ (h)]r¹ h+]rº h']r» h%]r¼ h-]r½ uh1K2h3]r¾ hLXd Exponent of the normalized power-weighted filter. Lower values give a smoother result. Default is 5.r¿
rÀ }rÁ (hj· hjµ ubaubah!j~ ubeh!j« ubj] )r }rà (hU h#}rÄ (h)]rÅ h+]rÆ h']rÇ h%]rÈ h-]rÉ uhjý h3]rÊ (jg )rË }rÌ (hU h#}rÍ (h)]rÎ h+]rÏ h']rÐ h%]rÑ h-]rÒ uhj h3]rÓ hP)rÔ }rÕ (hX Border Conditions / ``boundary``rÖ hjË hhh!hTh#}r× (h)]rØ h+]rÙ h']rÚ h%]rÛ h-]rÜ uh1K4h3]rÝ (hLX Border Conditions / rÞ
rß }rà (hX Border Conditions / rá hjÔ ubj& )râ }rã (hX ``boundary``rä h#}rå (h)]ræ h+]rç h']rè h%]ré h-]rê uhjÔ h3]rë hLX boundaryrì
rí }rî (hU hjâ ubah!j4 ubeubah!j~ ubjg )rï }rð (hU h#}rñ (h)]rò h+]ró h']rô h%]rõ h-]rö uhj h3]r÷ hP)rø }rù (hX Choicerú hjï hhh!hTh#}rû (h)]rü h+]rý h']rþ h%]rÿ h-]r uh1K4h3]r hLX Choicer
r }r (hjú hjø ubaubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r h']r
h%]r h-]r uhj h3]r
hP)r }r (hX Nearestr hj hhh!hTh#}r (h)]r h+]r h']r h%]r h-]r uh1K4h3]r hLX Nearestr
r }r (hj hj ubaubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r h']r h%]r! h-]r" uhj h3]r# cdocutils.nodes
line_block
r$ )r% }r& (hU h#}r' (h)]r( h+]r) h']r* h%]r+ h-]r, uhj h3]r- (cdocutils.nodes
line
r. )r/ }r0 (hX3 Specifies how pixel values are computed out of the image domain. This mostly affects values at the boundary of the image. If the image represents intensities, Nearest (Neumann) conditions should be used. If the image represents gradients or derivatives, Black (Dirichlet) boundary conditions should be used.r1 Uindentr2 K hj% hhh!h1h#}r3 (h)]r4 h+]r5 h']r6 h%]r7 h-]r8 uh1K h3]r9 hLX3 Specifies how pixel values are computed out of the image domain. This mostly affects values at the boundary of the image. If the image represents intensities, Nearest (Neumann) conditions should be used. If the image represents gradients or derivatives, Black (Dirichlet) boundary conditions should be used.r:
r; }r< (hj1 hj/ ubaubj. )r= }r> (hXW **Black**: Dirichlet boundary condition: pixel values out of the image domain are zero.r? j2 K hj% hhh!h1h#}r@ (h)]rA h+]rB h']rC h%]rD h-]rE uh1K h3]rF (cdocutils.nodes
strong
rG )rH }rI (hX **Black**rJ h#}rK (h)]rL h+]rM h']rN h%]rO h-]rP uhj= h3]rQ hLX BlackrR
rS }rT (hU hjH ubah!UstrongrU ubhLXN : Dirichlet boundary condition: pixel values out of the image domain are zero.rV
rW }rX (hXN : Dirichlet boundary condition: pixel values out of the image domain are zero.rY hj= ubeubj. )rZ }r[ (hX **Nearest**: Neumann boundary condition: pixel values out of the image domain are those of the closest pixel location in the image domain.r\ j2 K hj% hhh!h1h#}r] (h)]r^ h+]r_ h']r` h%]ra h-]rb uh1K h3]rc (jG )rd }re (hX **Nearest**rf h#}rg (h)]rh h+]ri h']rj h%]rk h-]rl uhjZ h3]rm hLX Nearestrn
ro }rp (hU hjd ubah!jU ubhLX : Neumann boundary condition: pixel values out of the image domain are those of the closest pixel location in the image domain.rq
rr }rs (hX : Neumann boundary condition: pixel values out of the image domain are those of the closest pixel location in the image domain.rt hjZ ubeubeh!U
line_blockru ubah!j~ ubeh!j« ubj] )rv }rw (hU h#}rx (h)]ry h+]rz h']r{ h%]r| h-]r} uhjý h3]r~ (jg )r }r (hU h#}r (h)]r h+]r h']r h%]r
h-]r uhjv h3]r hP)r }r (hX Filter / ``filter``r hj hhh!hTh#}r (h)]r h+]r h']r h%]r h-]r uh1K8h3]r (hLX Filter / r
r }r (hX Filter / r hj ubj& )r }r (hX
``filter``r h#}r (h)]r h+]r h']r h%]r h-]r uhj h3]r hLX filterr
r¡ }r¢ (hU hj ubah!j4 ubeubah!j~ ubjg )r£ }r¤ (hU h#}r¥ (h)]r¦ h+]r§ h']r¨ h%]r© h-]rª uhjv h3]r« hP)r¬ }r (hX Choicer® hj£ hhh!hTh#}r¯ (h)]r° h+]r± h']r² h%]r³ h-]r´ uh1K8h3]rµ hLX Choicer¶
r· }r¸ (hj® hj¬ ubaubah!j~ ubjg )r¹ }rº (hU h#}r» (h)]r¼ h+]r½ h']r¾ h%]r¿ h-]rÀ uhjv h3]rÁ hP)r }rà (hX QuadraticrÄ hj¹ hhh!hTh#}rÅ (h)]rÆ h+]rÇ h']rÈ h%]rÉ h-]rÊ uh1K8h3]rË hLX QuadraticrÌ
rÍ }rÎ (hjÄ hj ubaubah!j~ ubjg )rÏ }rÐ (hU h#}rÑ (h)]rÒ h+]rÓ h']rÔ h%]rÕ h-]rÖ uhjv h3]r× j$ )rØ }rÙ (hU h#}rÚ (h)]rÛ h+]rÜ h']rÝ h%]rÞ h-]rß uhjÏ h3]rà (j. )rá }râ (hX° Bluring filter. The quasi-Gaussian filter should be appropriate in most cases. The Gaussian filter is more isotropic (its impulse response has rotational symmetry), but slower.rã j2 K hjØ hhh!h1h#}rä (h)]rå h+]ræ h']rç h%]rè h-]ré uh1K h3]rê hLX° Bluring filter. The quasi-Gaussian filter should be appropriate in most cases. The Gaussian filter is more isotropic (its impulse response has rotational symmetry), but slower.rë
rì }rí (hjã hjá ubaubj. )rî }rï (hXU **Quasi-Gaussian**: Quasi-Gaussian filter (0-order recursive Deriche filter, faster).rð j2 K hjØ hhh!h1h#}rñ (h)]rò h+]ró h']rô h%]rõ h-]rö uh1K h3]r÷ (jG )rø }rù (hX **Quasi-Gaussian**rú h#}rû (h)]rü h+]rý h']rþ h%]rÿ h-]r uhjî h3]r hLX Quasi-Gaussianr
r }r (hU hjø ubah!jU ubhLXC : Quasi-Gaussian filter (0-order recursive Deriche filter, faster).r
r }r (hXC : Quasi-Gaussian filter (0-order recursive Deriche filter, faster).r hjî ubeubj. )r }r
(hX\ **Gaussian**: Gaussian filter (Van Vliet recursive Gaussian filter, more isotropic, slower).r j2 K hjØ hhh!h1h#}r (h)]r
h+]r h']r h%]r h-]r uh1K h3]r (jG )r }r (hX **Gaussian**r h#}r (h)]r h+]r h']r h%]r h-]r uhj h3]r hLX Gaussianr
r }r (hU hj ubah!jU ubhLXP : Gaussian filter (Van Vliet recursive Gaussian filter, more isotropic, slower).r
r! }r" (hXP : Gaussian filter (Van Vliet recursive Gaussian filter, more isotropic, slower).r# hj ubeubj. )r$ }r% (hXB **Box**: Box filter - FIR (finite support / impulsional response).r& j2 K hjØ hhh!h1h#}r' (h)]r( h+]r) h']r* h%]r+ h-]r, uh1K h3]r- (jG )r. }r/ (hX **Box**r0 h#}r1 (h)]r2 h+]r3 h']r4 h%]r5 h-]r6 uhj$ h3]r7 hLX Boxr8
r9 }r: (hU hj. ubah!jU ubhLX; : Box filter - FIR (finite support / impulsional response).r;
r< }r= (hX; : Box filter - FIR (finite support / impulsional response).r> hj$ ubeubj. )r? }r@ (hXQ **Triangle**: Triangle/tent filter - FIR (finite support / impulsional response).rA j2 K hjØ hhh!h1h#}rB (h)]rC h+]rD h']rE h%]rF h-]rG uh1K h3]rH (jG )rI }rJ (hX **Triangle**rK h#}rL (h)]rM h+]rN h']rO h%]rP h-]rQ uhj? h3]rR hLX TrianglerS
rT }rU (hU hjI ubah!jU ubhLXE : Triangle/tent filter - FIR (finite support / impulsional response).rV
rW }rX (hXE : Triangle/tent filter - FIR (finite support / impulsional response).rY hj? ubeubj. )rZ }r[ (hXN **Quadratic**: Quadratic filter - FIR (finite support / impulsional response).r\ j2 K hjØ hhh!h1h#}r] (h)]r^ h+]r_ h']r` h%]ra h-]rb uh1K h3]rc (jG )rd }re (hX
**Quadratic**rf h#}rg (h)]rh h+]ri h']rj h%]rk h-]rl uhjZ h3]rm hLX Quadraticrn
ro }rp (hU hjd ubah!jU ubhLXA : Quadratic filter - FIR (finite support / impulsional response).rq
rr }rs (hXA : Quadratic filter - FIR (finite support / impulsional response).rt hjZ ubeubeh!ju ubah!j~ ubeh!j« ubj] )ru }rv (hU h#}rw (h)]rx h+]ry h']rz h%]r{ h-]r| uhjý h3]r} (jg )r~ }r (hU h#}r (h)]r h+]r h']r h%]r h-]r
uhju h3]r hP)r }r (hX Expand RoD / ``expandRoD``r hj~ hhh!hTh#}r (h)]r h+]r h']r h%]r h-]r uh1K?h3]r (hLX
Expand RoD / r
r }r (hX
Expand RoD / r hj ubj& )r }r (hX
``expandRoD``r h#}r (h)]r h+]r h']r h%]r h-]r uhj h3]r hLX expandRoDr
r }r¡ (hU hj ubah!j4 ubeubah!j~ ubjg )r¢ }r£ (hU h#}r¤ (h)]r¥ h+]r¦ h']r§ h%]r¨ h-]r© uhju h3]rª hP)r« }r¬ (hX Booleanr hj¢ hhh!hTh#}r® (h)]r¯ h+]r° h']r± h%]r² h-]r³ uh1K?h3]r´ hLX Booleanrµ
r¶ }r· (hj hj« ubaubah!j~ ubjg )r¸ }r¹ (hU h#}rº (h)]r» h+]r¼ h']r½ h%]r¾ h-]r¿ uhju h3]rÀ hP)rÁ }r (hX Onrà hj¸ hhh!hTh#}rÄ (h)]rÅ h+]rÆ h']rÇ h%]rÈ h-]rÉ uh1K?h3]rÊ hLX OnrË
rÌ }rÍ (hjà hjÁ ubaubah!j~ ubjg )rÎ }rÏ (hU h#}rÐ (h)]rÑ h+]rÒ h']rÓ h%]rÔ h-]rÕ uhju h3]rÖ hP)r× }rØ (hXA Expand the source region of definition by 1.5\*size (3.6\*sigma).rÙ hjÎ hhh!hTh#}rÚ (h)]rÛ h+]rÜ h']rÝ h%]rÞ h-]rß uh1K?h3]rà hLX? Expand the source region of definition by 1.5*size (3.6*sigma).rá
râ }rã (hXA Expand the source region of definition by 1.5\*size (3.6\*sigma).rä hj× ubaubah!j~ ubeh!j« ubj] )rå }ræ (hU h#}rç (h)]rè h+]ré h']rê h%]rë h-]rì uhjý h3]rí (jg )rî }rï (hU h#}rð (h)]rñ h+]rò h']ró h%]rô h-]rõ uhjå h3]rö hP)r÷ }rø (hX (Un)premult / ``premult``rù hjî hhh!hTh#}rú (h)]rû h+]rü h']rý h%]rþ h-]rÿ uh1KAh3]r (hLX (Un)premult / r
r }r (hX (Un)premult / r hj÷ ubj& )r }r (hX ``premult``r h#}r (h)]r h+]r
h']r h%]r h-]r
uhj÷ h3]r hLX premultr
r }r (hU hj ubah!j4 ubeubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r h']r h%]r h-]r uhjå h3]r hP)r }r (hX Booleanr hj hhh!hTh#}r (h)]r h+]r h']r! h%]r" h-]r# uh1KAh3]r$ hLX Booleanr%
r& }r' (hj hj ubaubah!j~ ubjg )r( }r) (hU h#}r* (h)]r+ h+]r, h']r- h%]r. h-]r/ uhjå h3]r0 hP)r1 }r2 (hX Offr3 hj( hhh!hTh#}r4 (h)]r5 h+]r6 h']r7 h%]r8 h-]r9 uh1KAh3]r: hLX Offr;
r< }r= (hj3 hj1 ubaubah!j~ ubjg )r> }r? (hU h#}r@ (h)]rA h+]rB h']rC h%]rD h-]rE uhjå h3]rF hP)rG }rH (hX Divide the image by the alpha channel before processing, and re-multiply it afterwards. Use if the input images are premultiplied.rI hj> hhh!hTh#}rJ (h)]rK h+]rL h']rM h%]rN h-]rO uh1KAh3]rP hLX Divide the image by the alpha channel before processing, and re-multiply it afterwards. Use if the input images are premultiplied.rQ
rR }rS (hjI hjG ubaubah!j~ ubeh!j« ubj] )rT }rU (hU h#}rV (h)]rW h+]rX h']rY h%]rZ h-]r[ uhjý h3]r\ (jg )r] }r^ (hU h#}r_ (h)]r` h+]ra h']rb h%]rc h-]rd uhjT h3]re hP)rf }rg (hX Invert Mask / ``maskInvert``rh hj] hhh!hTh#}ri (h)]rj h+]rk h']rl h%]rm h-]rn uh1KCh3]ro (hLX Invert Mask / rp
rq }rr (hX Invert Mask / rs hjf ubj& )rt }ru (hX ``maskInvert``rv h#}rw (h)]rx h+]ry h']rz h%]r{ h-]r| uhjf h3]r} hLX
maskInvertr~
r }r (hU hjt ubah!j4 ubeubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r
h']r h%]r h-]r uhjT h3]r hP)r }r (hX Booleanr hj hhh!hTh#}r (h)]r h+]r h']r h%]r h-]r uh1KCh3]r hLX Booleanr
r }r (hj hj ubaubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r h']r h%]r h-]r uhjT h3]r hP)r }r¡ (hX Offr¢ hj hhh!hTh#}r£ (h)]r¤ h+]r¥ h']r¦ h%]r§ h-]r¨ uh1KCh3]r© hLX Offrª
r« }r¬ (hj¢ hj ubaubah!j~ ubjg )r }r® (hU h#}r¯ (h)]r° h+]r± h']r² h%]r³ h-]r´ uhjT h3]rµ hP)r¶ }r· (hX> When checked, the effect is fully applied where the mask is 0.r¸ hj hhh!hTh#}r¹ (h)]rº h+]r» h']r¼ h%]r½ h-]r¾ uh1KCh3]r¿ hLX> When checked, the effect is fully applied where the mask is 0.rÀ
rÁ }r (hj¸ hj¶ ubaubah!j~ ubeh!j« ubj] )rà }rÄ (hU h#}rÅ (h)]rÆ h+]rÇ h']rÈ h%]rÉ h-]rÊ uhjý h3]rË (jg )rÌ }rÍ (hU h#}rÎ (h)]rÏ h+]rÐ h']rÑ h%]rÒ h-]rÓ uhjà h3]rÔ hP)rÕ }rÖ (hX
Mix / ``mix``r× hjÌ hhh!hTh#}rØ (h)]rÙ h+]rÚ h']rÛ h%]rÜ h-]rÝ uh1KEh3]rÞ (hLX Mix / rß
rà }rá (hX Mix / râ hjÕ ubj& )rã }rä (hX ``mix``rå h#}ræ (h)]rç h+]rè h']ré h%]rê h-]rë uhjÕ h3]rì hLX mixrí
rî }rï (hU hjã ubah!j4 ubeubah!j~ ubjg )rð }rñ (hU h#}rò (h)]ró h+]rô h']rõ h%]rö h-]r÷ uhjà h3]rø hP)rù }rú (hX Doublerû hjð hhh!hTh#}rü (h)]rý h+]rþ h']rÿ h%]r h-]r uh1KEh3]r hLX Doubler
r }r (hjû hjù ubaubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r
h']r h%]r h-]r
uhjà h3]r hP)r }r (hX 1hj hhh!hTh#}r (h)]r h+]r h']r h%]r h-]r uh1KEh3]r hLX 1
r }r (hX 1hj ubaubah!j~ ubjg )r }r (hU h#}r (h)]r h+]r h']r h%]r h-]r! uhjà h3]r" hP)r# }r$ (hX: Mix factor between the original and the transformed image.r% hj hhh!hTh#}r& (h)]r' h+]r( h']r) h%]r* h-]r+ uh1KEh3]r, hLX: Mix factor between the original and the transformed image.r-
r. }r/ (hj% hj# ubaubah!j~ ubeh!j« ubeh!j3 ubeh!j4 ubaubheubhhh!Usubstitution_definitionr0 h#}r1 (h)]r2 h+]r3 h']r4 h%]r5 h-]r6 hnauh1KHh2hh3]r7 h\)r8 }r9 (hh_h#}r: (h)]r; Uurir< X' plugins/net.sf.cimg.CImgErodeSmooth.pngr= h%]r> h']r? Uwidthr@ hch+]rA hj}rB U*j= sh-]rC UaltrD hnuhhh3]rE h!h`ubaubsUparse_messagesrF ]rG Ucurrent_sourcerH NU
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r^ )r_ }r` (hU h#}ra (h)]rb Ulevelrc Kh%]rd h']re Usourcerf hh+]rg h-]rh Ulineri KUtyperj UINFOrk uh3]rl hP)rm }rn (hU h#}ro (h)]rp h+]rq h']rr h%]rs h-]rt uhj_ h3]ru hLXA Hyperlink target "net-sf-cimg-cimgerodesmooth" is not referenced.rv
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language_coder Uenr U datestampr NU report_levelr KU _destinationr NU
halt_levelr KU
strip_classesr NhDNU error_encoding_error_handlerr Ubackslashreplacer Udebugr NUembed_stylesheetr U output_encoding_error_handlerr Ustrictr U
sectnum_xformr KUdump_transformsr NU
docinfo_xformr KUwarning_streamr NUpep_file_url_templater Upep-%04dr Uexit_status_levelr¡ KUconfigr¢ NUstrict_visitorr£ NUcloak_email_addressesr¤ U trim_footnote_reference_spacer¥ Uenvr¦ NUdump_pseudo_xmlr§ NUexpose_internalsr¨ NUsectsubtitle_xformr© U source_linkrª NUrfc_referencesr« NUoutput_encodingr¬ Uutf-8r U
source_urlr® NUinput_encodingr¯ U utf-8-sigr° U_disable_configr± NU id_prefixr² U U tab_widthr³ KUerror_encodingr´ UUTF8rµ U_sourcer¶ hUgettext_compactr· U generatorr¸ NUdump_internalsr¹ NU smart_quotesrº U pep_base_urlr» U https://www.python.org/dev/peps/r¼ Usyntax_highlightr½ Ulongr¾ U input_encoding_error_handlerr¿ j Uauto_id_prefixrÀ UidrÁ Udoctitle_xformr Ustrip_elements_with_classesrà NU
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