diff --git a/PySimpleGUI.py b/PySimpleGUI.py index 64065a0a..07e9fe2d 100644 --- a/PySimpleGUI.py +++ b/PySimpleGUI.py @@ -1,5 +1,5 @@ #!/usr/bin/python3 -version = __version__ = "4.56.0.17 Unreleased" +version = __version__ = "4.56.0.18 Unreleased" _change_log = """ Changelog since 4.56.0 released to PyPI on 5-Jan-2022 @@ -44,6 +44,9 @@ _change_log = """ Another Emoji 4.56.0.17 Fix for Listbox scrollbar not behaving correctly when making element invisible / visible + 4.56.0.18 + New base64 image - PYTHON_COLORED_HEARTS_BASE64 (yes, more hearts... apologies to the heart-haters) + """ __version__ = version.split()[0] # For PEP 396 and PEP 345 @@ -22151,6 +22154,8 @@ HEART_FLAT_BASE64 = b'iVBORw0KGgoAAAANSUhEUgAAAFoAAABaCAYAAAA4qEECAAAPjklEQVR4nO HEART_3D_BASE64 = b'iVBORw0KGgoAAAANSUhEUgAAAFoAAABaCAYAAAA4qEECAAAWO0lEQVR4nO1ca4xdV3X+1t7n3vGM7dhOCMHGQFIIaZwmSnAohiRMIFFLWwq0cEN4tEKtRBBVo6YVFFCrwap4CNpSgYqKRCraJn14qJAIlNICwQXS0DIkMYlDKaFNME7sxPaMPQ/fe85aX3/sxzn3ejKe8SuRepd1c889j733+fba3/rWOmcCDG1oQxva0IY2tKENbWhDG9rQhja0oQ1taEP7f2YE5Excc4rbOmX9n/aGCYgA7Ns3Pl7gfBQYWesw3xUA2Ds9wk0XVIpdCyo7d1aD42IYHLECS+Au2v/oT/zex+e8O9vkWQD2HnTsrWnb+Xi4kp2oBttZad/Hs1PnQRNwsh0GhIHOdLZtGCvGXtAz93I4voiCLQJshJO1MJg4OSDCR0l5COA3CXeXiu45a/f0YZmaKlM7cZBL3vTgedy6tXV4/dxZuspv1m75Mm+4WmkvAHUjlGeT8KAeBriXZrsJfNfD/m2BxUPPuXvPodwO4AThnk7WThro5k0SkMNvvO5CB321OLxzdXvk+WqEicAYRp8QEydwAJwIChFAgIWy2kPi71oin1tA9YN1f/PVA0CYRGwHj/FUQDABSRM83dl2ti50LypUX2tmbxnz2GxqKM1gZlBVkARpEIbReCMcDJ6G2cp+CPCTpSx84TnfPvJDxHtK93cyOJ0U0M0ldqhzzQUt598EkXetbrfWz6uBIioSUUwbIpBwbRo44yQBgB/1DqBhvqy+DvJjleO3moDnVdPYnnndi88B+TIqbxnzeAXNMF8qzEzFFASFZgIaQBMagQA4SSNI0IxC82d5YKanB4X8iJr+/aZ7ph8evNcTsRMGutnx3BuvfS0FH1rdHrl4riwN4k2ceBERiADiIIl1JX76ug+wx5s2ENZyaBXO4WhZ3VEZ/nTt7V/+OgCw0/EAIJOTCgCHO9vGneJ3V4m8plcpuqolTR1oTkihKWAGkgANNEsgIwIMxG2jkWoKmtvgxR0s9QGhvXfjPdN3DN7zmQJaAJCdjj/Cx97tvPtgy3uUQA9wLfFORACIhyRQxQHOQZwAUoQWxAWYSQgVUAWpgAGEKUkd87493+vNg/ZRE/fJtbf9634AeOzGl5y3pmq9g7R3j3kZm+2WPZAeNM8EaJw3mMbv9LsGPoAfJyECTxphVhZguzQjje/91n0zf3wDoCeI14kBzYkJBwBHdn/tI2vard+bUzMRBxHv4AERF71YIrgOcAVQtAAnEOfB6OWkhBs2g6jCtIRUVcPzWJHmx9pejnbLL4rwXT0zKVQ/OurdLx45WhKsFGBBBcAAavJUatOTNYPaD3DDu/MkEGZqMGLUwc1X+tFNuw6/Z7IDuWFy5YCvXOt2Ol4mJ/VI5+oPrWm33jOnqCDw4nzgX3GAdxBEkIsWpGiD3kOKFuB89u4UHsUMNAUrg2gJK0ug6gEWjpspAZZj3rfnu73vgipjhb9ittfr0dgSmmRgraaDmjYaAFpjEsgafDMQjUlJLGZGIXXMWTFf8QMbdx35gx2AX6l3rwhoTkw42b7dpt9w9W+PeP9xBZTivBMHeJ89GBK8VlptoNWGtNqQogBdAfEBaEoUy2BY2qpgVUGqEtQS6PUArWpvI0HVasxLQRJzvbISsIApaIiAafbMvCJMG8A3v5nP7/N8JE9P3p/BVy/wpeK3Nn/v8CdXKv2WDTQnJhx275Z5PHp5ZfxKq9Vap4Q4F7lXfKAFkQBmewRorYpgB6+GLwDnQOdSqwANUipgFVhFTy4rsDwKVFXtkZk/VWkGIXy/5zb4t+nFpgPg1oA3wSQN0OjFsb+6b4MZUQhZGqdLuOvO3zWz6/0Aty8TbHf8U5Jth0xOKg0fWtUq1hvJENjSBznAsRgB2iOQdhtotyGtEbDVAtvtvF9aI8HbfQtoFWESvA8rIVFQVCxBpcRJhPNOnA9ukjutXSbtSseb5zR217ff8DXX31RzQwSoCKxysqEt9kEB9JIVOOqygGan4/F+cLbz0l+ryGuNBEScRLkmyFI5eG+7DSlGgCKC3G5DWqsgrVVgewRoBbCdbwXv9z6uCgeKr+lH+tvP8jD3C0AYlU04n6iP9wmxQUWZ1HxWmFLvlnis7/x4GgBCXvnoFWfd+ABAduBPCdA5MxKQlHesbRetUmExMPfdCZ0PXloUQOHBogBbLaDVBht8jVYb9AXMeUA8ABe9WCBkSMeIGrAMbhpREwTXB0gfnk3PxsAnn/BkTnnMzEAA6RG22kmbincm2lhOAev4Hj0+7mVyUve//qpfoMlPV7DgfKgnnnH2xReA86ArQF9AfAviiiDtWoEagnZueCTiUEkILe5j/iep7eSgImHYUoM0OOnBs12QkM1bzG00PwRFQJGYo9Yrom91ZJoRsdDJxY9duvp6mYR+ffz4Xn18oJ/5uAOAEVavGSnk7F4VEqQMQVrazgXvjEExcStjsEzJSV6SpmHbQhDK0owKUY2+4jLUTAhFpSJpEYORuxsgAWF/jlMNjh/gbYGHQ5SjIjGg583+RSACJyI9CtrOPcN8+zUAcO3jx8dxyRMICLZ0qokJOJpc1hYHo5mltc2Q1TEmp3QCOIDiUHtdvHWzyDcW5JtayATNIAwaOuyrYFqBMACh+COsgc1TFeeLdH3FqtRnmgYI+yh78FwKm/MDMDoQg+OERMw1grOAEF3lBYBdQUBwCfR49LH0THQ6TrZvt1vu23alCDdWtIxbAjjQhiAv+uh+kmSSKUwrSFlCyh7Y7UF6UcZVVfyUECtB7cGipBMk2RX6qINCYz8F1pwACeOyTOF9EqTvX5YeuZwY0UhKx4WDeXKyuhLAiZQQUNzGn1y27nKZhE52lsayWBLo/fvjaOz5Rjm7ZwCZY3yM2wEEB4JGuKhJzYLHAhXECHqPFOlJwMUkRaoSKHuwqgf2SohVYfos0UVK0+NvCyAL0EhmkCcgUW0dO7Krwhq4Nvk4nO8ASqCbyM/MK1KaV4KAKAgnsoEt/3wA93T2L+3RSwN90axgJ0DjRoqsMRogLgBBhgEY4IRh6XuDqcFVCkgFCGAkxDxEHVymWINVIWGwqgepFNLrgdoNGVpMl0PK3Ki0xYhHSt4OQITlb+ifiLQCrMEZCY20NgkJLCgMXmxJStReT7jQP7KvoAJg5FoINwEAZk8C6AcOLQgAlMY17UK8ahyQxJuDAXAwCRThqICVME2DJKAG8SFiGwSQEPREDbQqFJDKsk6Vww0A0AwUqeHGm+VOxhgBi0CyD8zANBIyQKAPJBKNEkDN28KgQASBu2GJ2LOuasQGwHtpGWUtADywcBJAXxK/PVB4GHpxEcEC4BJ5TAwgNBSDIHAWPNGZgeJgkfNcGjTDkw5UCmgJUw1LvpkO5xpDoomYZjc4OhyvQU5wZMpJNMzIsdrQ31GQUID0+MckTozFSXLxYouz0ki2iezwS7PCcoBOJmC3JMKSdy5zlos3pIzZWVmGARdBLWhVBY3kHYRAlYJZrKq5yK8EQWVNSSnwmQVVkEqYSLOcflsOvoEywhjB6OUWQQKRIiQjumRCukYsBF6Ji7GxEoA+zgaC9xtBCrsnDfTkA+FbiYNU6xbOj9AYXRNQixrWSQYFFQFViJaA83AQmDi4hhwMk5fqjMGLRJJjJi+1DKBF8In4XUfKEHhpkcpCH5LAD1PRf1MNaZ24O4RMBsAjx1NcVE6SuagZEp1zqKgLAjkAAJecu3RxaUmgO+eeawDgiUcqYNqB55UkPGMQEQk0YBIyMBfQcmIwCzIpySKFhMMCCFzmzBTTMnUE+HK1LQe0SCsGxklA4zuAljjXgMZkxLJnWgkSVgpQczXi/QRZGRUHkppJJ7g8bUS6VTdj2ntkKQyTLa2jd+40EjJbtf5dYXtbAQ1TGjRKOIslyPRNMyjqArxaUCLI24SaQs2gmq5RmGp4Um0VNG4n5ZHat9hnajs8ELFc2jSz0I5aZJCwGiy2Y0i6vI6dGfAItkmUgZFSGJUJgZCIiQPprAjfP1G1b3MCDjuX9uglgRbAHrhhS+u5/3L3QZAPkQY1iMW02SxwqyXtHD+qhBphsSYcAIzgxt8WJ8A0AK5VAtHCQwCNoJmGCckpusGYqloKo4ZJTxMOghKelugAsLkMbZG+WW9nBdjY1uYk1IIjCmuBCR664L6ZaUxuKQQnQR0AcMmPRklA9pm7a7ZX/ZJzflRJOpggpr91DSvQhJN4s3RRuEbh7xoKSFKqi3wHKQFKfMxMokFBSHrigcjTfQqkDqbNfSkuWKZgRspqcLfUE4A0pkjisbdE5ABA78QdsWre0b5BQDC6eyAQHGtLar8EHwDg1VvP+XFXvzXW9i+cVzPnnEOK0M16cNSh4iQG9H6w03Yu+WaObPSYZiBngGxIO2Sw0QC4yefNVwjqpIUhMWkE0qwsjrm20T+b6X8IB6u9uAXD99fPuqvW7d5zKM3VUjget+okAKe2bi3kC1NPOOGXjqrBgc4yJQQKMRIal74ZIz1EPtbAwUzPBlVhldbHLB7LXB3PMUOl8bz0dJsKgwVKsRAraHW8MLXswcqw/DULmCQnEblboHGfIR2XeDzsizXGXEoVEbcQYsNX1u/ec3BqK4rjgQwsU0dvnZqqAKBVtD881+396mghzylJilCEUtdzgViGNIi5+ncMMk2Scw2tlIMPosxCvUOiFxvY8MSkC5A9nU2va1BOTTWxTQblkF4JS23XOh0J2kxB0tizyol0zfauwcLHAOCOqeU9DV9mwgJyfLyQf9r52MPXX/q5rsrNFEjQmAZJXCySdWf9ZlJoIRWiUram/e1nC8zL/IScEVjk78i7CUhLk5M4HWBdsGhEs/QgQfoCZKKnxGGW+6pH10jApTTC0yaf9Z2ZH3EcxeCbqEtguDyLsYS7rr50w1ibUy0vF5QpaCQOzs/xpG+/NDkaQMoBnmxAg+CmIJl+hzeZGvydAU3ZntVpOOtJy0Eyt9/09nBt5vHmKoiDbYmgp/aQc4++6IX/gcMJk+Xgt2ygAeQXC//3537mLd3K/lpE8qPR/PJiDoyx+YZHI54Xb/vJO88iN4HYjJiDXp1AZ/biQA0hDZdEK/HcXOeO/aRvyek8EB44AHXSkoWKFdJ984X/+cQOnq73OjIGcRb/+5UXf9aLvP6oxYKi1M9AJHtyoJJ+GulvbHAg6fq61AlA6ppz2tfn4XEymJ45Nni5SUN12p6eBqaHBMzFq7hc+q4zgqNOpKf6DxdPPXbjSjx58P5WZDs68K84dNF5+0rcVYh7XmmkE5cfXIeW6+cbjL/TLC3VeRp9ppfEo7HewAR8PrkGUJKHgrlSRzTkWggpiR/iRBjqF4eP9XoCLETEzH60eqG66vzO4/vT68IrsRMCOtme6y69fqbXu6MiW3DiU5MCIFX5JaawzVclsqQe8InmYTb3Zpps1h+s5u4BoNgAv0kDaXdYYYRZ3E7tR0XS0MwQwDywMFJ2f/nC+w7ceaJYreBNpX6bANzmr37vK3R8X9uJr1TLWluHtNoaKbeq5RQ8farGR5vXNq/RdK6iMsYaS6hnVBp0vGpIw5XM6XjQyQZlKCjWuphBX0fKN4Zn5WqEMvxlgkKg4ZpeIXRq+vsX3nfgzomTwOtkPFp2dOBumITee/UL/mLM+Zumy7LrxI3EqNhHEznlbnbaJGY0FUf6Uft1fSob7s7GaU3+bQZOxGAa9XNcFf3tSUOxECKEEd113o3MleUnrrh3/807OvA3TPY/dlwRWCdyUdMIuB9v2zxy0I1+esTxzYfKquedtI9tupZ8SZBk5TE49AR8bCLXsBNuzQsSpybBR0OilrqTpEQQuSNCbjY410mtdNd7NzJr1W29/a23v3TPnu5KFMZidtJAxzZ4//iWNWW58Jee6ExX2muJaxsYlUc8rVHuWEyA1MAuNkD2gZLlV99AGsEMTaduMH7OOPOOfLXAUBG9dV7avara4U1+4/Jd++ZWBsfidiqARtKU9770p55Zqd7uBdcfVvY80K4f/yy24qTxX9TuzRz6Ggc4MFgONFkHu75zk3OjTqWbfSRHFQiU1ltXuLaaftnc/FuvnJp9givUy09mpwRooAb7nm2bn13RfVroXjVdlmXhpJW6YqO3AYhzI+mRUsMn83eesnr1o99b641jb2yRiWmYGct1hbRU9fMjOv/2y+6f23eqQG6O/ZRYGtjuF286Z8bcZxzw6pnKKpFYU+kDevGu+6XdwACzXKw1c/O45d+sz8+XDlAG4oSFhKRa15KirPj5NTz6tsu+N3PoVIJ8zH2cCss0ctllq4+0Dt3mqK+bKc2cSJ80kpPpOfGsICuIfkXT7631SuhT50mH21lOnCn+cWTE//qVU4/On2qQm2M4pTYBuO2APbJt2+j/dB/5WxpfN1tZiIcDCB8j+Rb93S/zjmH7pmsPcvST9hOoZLUTkPrZjUcPvPWFP0T3dIAMnIQAX8q2x4Heevfd3fF79v5K4fjnbUc1GkpThuQjfDR+6n3NBEVRxn3pUw4kOan4nxOdmKxUjY+yfkhbGVEaqQQKQJ3px8fvP9C5/S0ogZAJng5MTotHN+3OcRSv2Inq21s33rzvaO8DjrKma3VWvlyTge9kS2UPiwZEgCMCUePseof3Xb374CcmxlFsX2Zd+UTttAMN1GDfvXXzmx6dX/hAAVwwq0YXtPUxY5DF+GGRkT7Z4NPlg5qGAFYLpGd86JlO3/eyBw/vOBMgpzGdEUt/BHnfzz5788OzR2+H8eVz4Q9TVQR+cSCP1eABwOUwHvP1JNUJ/JgHSNy51cobnv2D2SdO5A8zT9TOGNBAKK+GP+8VfPnSc/7qcE/f4MCxBUUpgtbp6NOIatRLQbP5tQ6Tr/qvmbcB9cSfjj4XszMKNBCk7STgbgD0G5ef95uPL3RvaYtccrC0nndS4NQFaFOiOruQds/s/nO9/7NrHjx46w7Ad+oXcs+YnRbVsZQJwA5gO7agfc29+249b+3IjXDypWe0fRugI1GeVEkRAIkSgDuncG1HfHFToW+85sGDt+7YgvZTAXIa11Nm39mK1pVTKPeNb1lzz4F97z3S07et8rJpumdd56R9AuMzM5QbWm5kwXTParjPXLGq/eGNu/bNpb5Ox30sx55SoAGAHXiJ/1uGnZc+4+VzFW828PUHS6MD1AmK47mfIHAxBcUGL/DgZ0cFH7/2welvAAABL2eQj59sjE+5TQBuE+BvAspdlz53w+N65KZptT8k3NhCxa5zWMq7SaI76mUVaDOrxf3RRavs1gvum5n+1Fa09k5Bt5+mJGQl9rQAOtmntqJ1U1zeX7ts7Uu6pf8Twl31eGX0obDZF1MY/u7LnVuICO2bI8DvvPL7M1ODbT0d7GkFNFDXSQDgm1ecs2m+W/38nOJjBlm3YKgE4c+BSeiol8JRZ1YXcsvZVv7zld+ffxSATADydPDipj3tgE7W1LlfvXj980rgj7smb5iLr32t9oJVtB2Fk3df92D4P3mdaW28EnvaAg30lZ/xna0bxw4fOnLFQlHcBgBtp2++aPbIvc/dg4XBc4d2gtao3+OubZtH79q2eXSxY0Mb2tCGNrShDW1oQxva0IY2tKENbWhDG9rQhja0p639H6VtrWHYZMWdAAAAAElFTkSuQmCC' +PYTHON_COLORED_HEARTS_BASE64 = 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PhPUE0MFDzopfP+5JO0mqk9CzsixwEBK5SX684POOsGHxbZffeSldtjQ7XHlfDe4ZooM+UwGei0MqLnzrONdR9nz36czgAZXvAUcZzWYKpmlF0HabHXuN9fENbfH9Aox1pGwveU0RXMGCGcMdnLkZC7kCSj0ePNQAECfKgGS5v1vBvE9+mi35eEvEVKHRUYxNoNY94pttXACCdzSfLa4s3yX+fL/K/F4i8tuRt2XHexfuvbfUnUyG4NrGfbB/KvLr4r+2vlnxPtiz5CBA70UOd7X4fVRAXEQa9974WHxlUTIm0pXU14t/HewT/B5YQuMylNr5CAAAAAElFTkSuQmCC' + RED_X_BASE64 = b'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' GREEN_CHECK_BASE64 = b'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' @@ -23389,7 +23394,7 @@ def _create_main_window(): VerLine('{}/{}'.format(tkversion, tclversion), 'TK/TCL Versions'), VerLine(tclversion_detailed, 'detailed tkinter version'), VerLine(os.path.dirname(os.path.abspath(__file__)), 'PySimpleGUI Location', size=(40, 2)), - VerLine(sys.version, 'Python Version', size=(40, 2))], pad=(0, 0)) + VerLine(sys.version, 'Python Version', size=(40,2)) +[Image(PYTHON_COLORED_HEARTS_BASE64, subsample=3)]], pad=0) layout_bottom = [ [B(SYMBOL_DOWN, pad=(0, 0), k='-HIDE TABS-'),