jarnoh/screen.csd

## screen.csd
copper_showdown_version = "0.0.1"
copper_showdown_api_version = "0.0.1"
num_bitplanes = 3
code = '''
local num_frames=1

function copperframe(n)
	local frame = CopperListBuilder:new()
	local name = string.format("frame_%d", n)
	print(name)
	frame:add_label(name)

	local image = bobs[1]

	local planes = image.num_bitplanes
	local pitch = image.width/8
	local modulo = pitch*(planes-1)

	for i=0,planes-1 do
		local p = (image.addr+pitch*i);
		frame:push({
			BPL1PTH+i*4, p>>16,
			BPL1PTL+i*4, p&0xffff,
		})
	end

	frame:push({
		BPL1MOD, modulo,
		BPL2MOD, modulo,
		BPLCON0, 0x200+planes*0x1000,
	})

	for i=0,#image.colors-1 do
		frame:push(COLOR00+i*2, image.colors[i+1])
	end

	local next_frame = n % num_frames +1
	local next_frame_label = string.format("frame_%d", next_frame)
	frame:push({
		COP1LCH, next_frame_label .. "%h",
		COP1LCL, next_frame_label .. "%l",
	})

	frame:push_wait_xy(0, 200)
	frame:push({
		BPLCON0, 0,
	})

	return frame
end


local anim = CopperListsBuilder:new()
for i=1,num_frames do
	anim:push_copper_list_builder(copperframe(i))
end

return anim:build(), DMAF_RASTER
'''

[[images]]
name = "x2.png"
data = 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WEwLWY2YjYtNGI2OC1iMDczLWY0MzU4MDAxZjhlNSI+IDx4bXBNTTpIaXN0b3J5PiA8cmRmOlNlcT4gPHJkZjpsaSBzdEV2dDphY3Rpb249ImNyZWF0ZWQiIHN0RXZ0Omluc3RhbmNlSUQ9InhtcC5paWQ6OWFjOGM1YTAtZjZiNi00YjY4LWIwNzMtZjQzNTgwMDFmOGU1IiBzdEV2dDp3aGVuPSIyMDI1LTAyLTA4VDEyOjM2OjUwKzAyOjAwIiBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBQaG90b3Nob3AgMjYuMyAoTWFjaW50b3NoKSIvPiA8cmRmOmxpIHN0RXZ0OmFjdGlvbj0ic2F2ZWQiIHN0RXZ0Omluc3RhbmNlSUQ9InhtcC5paWQ6MTM3MTE1YzEtZDMzZS00YjE1LTkxMTctN2M4MDk3ZTkwOWViIiBzdEV2dDp3aGVuPSIyMDI1LTAyLTA4VDEyOjM4OjQ4KzAyOjAwIiBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBQaG90b3Nob3AgMjYuMyAoTWFjaW50b3NoKSIgc3RFdnQ6Y2hhbmdlZD0iLyIvPiA8cmRmOmxpIHN0RXZ0OmFjdGlvbj0ic2F2ZWQiIHN0RXZ0Omluc3RhbmNlSUQ9InhtcC5paWQ6MjQ1OWU4MTItMDAzMy00ZDA0LWJhYWQtNWE1NmZkMjdlODdhIiBzdEV2dDp3aGVuPSIyMDI1LTAyLTA4VDEyOjM5OjM0KzAyOjAwIiBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBQaG90b3Nob3AgMjYuMyAoTWFjaW50b3NoKSIgc3RFdnQ6Y2hhbmdlZD0iLyIvPiA8L3JkZjpTZXE+IDwveG1wTU06SGlzdG9yeT4gPC9yZGY6RGVzY3JpcHRpb24+IDwvcmRmOlJERj4gPC94OnhtcG1ldGE+IDw/eHBhY2tldCBlbmQ9InIiPz6AhoBCAAAXAklEQVR4nO1d23Ksug7sluDk/z93FUg6DzJg7kxmkrCr6Kq9VzJhbGhk62qbDR58Gz3QwP/6Lv67kPLfgzfwEPgmHgLfxEPgm3gIfBODFaNrJu3RzxcwEGi+MgiVNv99T1qjLz+0V3vdejfLL7utr5ku6g6+WV9z9Ldvdp0YHmEkJTosIe2MMutXVwBA9NufH2H3XdS968vNfgoXuh5FoHqSbs27zlra4BiwPl65t6Hh/ziD0xCqB657imkHDBIrmLHaXRL2K9ALHtCi89/ESdfVFDSf+ToVAI0F0DUEAKHXTxqsL4/XB++IPQbdJgH4JoMRPo6KDgDlmrFxuet6Cl+oDgsF2JgDPRsAYK1LdMbftwbv1NY2gwTgGB6DL7+iiNWTh8E4v/VNXO16pgKXutejQVHAMQqhJVOcXXw+eremTGB8y9sMsumHuwBAfU0Gd28q+vN592LXcxNCZSlGrgAoAcCFAEBBYKFRYssSWUy9e7NclBGVzS6/THEAIfVv6x5860P0+TFVVFUdQKsyiF4EJincbPVa1xOv9C0C4SRAIgAvjQlj/gJt8+1cJHBicJOGvHEvv1O3WN4k0HPQaSMkyzUKUrS8qpjmwm1uXux6h8Dsh8KYGqNKxV/Y9ux3lcDxSbbliOoYxR+o7/CIwBy+7TTZqQ6DhqIMAOG68f1vd03f8YW9AwBpCKAr11dzsL+nPYDTCbQlKh3VXDII3QDorjMkrQLAqVJ6teudibVzAGwEGw5I/wnr7ITBRlA9hlywQtwAtEcXigJY6+g3u977e05yqlg6IN69LX7ZzvGTqGDUCUuPaLs9rE2KBUQB+P7E8q2ud/tMdZ72ZLFngNdsv83hNL4NX06ZcygNsOEFn5rUHoCcmXoCA+xUnF/qev+lpRko0gfQDwZ6HPK3MPxOgjN7DHreuoTXj3HBpD4XU/L4/X+j6y0tPDZHIk2YUX3NNfsJNh+oGkGxrQr7kGLAR2V55LNvamF398D4+PtIhejui3H83a53tfCAlN2UvkEbN78Qwy4TkDQYjTtAzqONH4gAv9z1ER1sh+8TkwdzYUK/iP37Kn2xQa3DmnN39n282vWB4qpcj8YNMCshrt054XJEOts5eBNlAmLTY9JhbLZFrMVx9Lm60Lxctuenv9j1AYEy02lJWka7wPZaGHD/JoGzoOXsMfqBmv3x0vSAn84u7hdUzWtd732ui/APG2JygeX9ipqzoO8wlFri7FUAAHklC2a4kod8qevt5jhTFZ5uiWIyo3lo81/Aebx+eFkzh3IfinMGe1yxdV7repMHqefM6Cy9uRS7/iO65Eq+Y1CCTa3CdkHFXpCoILrAxUT4C11v2YEzbpIwFw4BmighrkW4DHghGjPwtxmNmT4cgmkIIDibU9bfJAII546+DDdMhsVONObFrrfDWVIH/sash0MApkk5xFkVi+9eJXCUvxMCh2BavrjZY2x8UzIc6hgu7NyH8JWbB+q5+zRMe6XrLQI50x599UpCMHgiw2uWhWd0kcCRv1lYcdvJKO9q5hksL5oCysignwPgEFBFRJ9Jpnri3okHVjd0oesNAmfit4gczDy7Idg/u+IagRN/9QVT3Gj2tZ3H8E3qKeV+IgZ3bXDzBi24fW8y/nuBwTmBM3vkJHVloRiiE9aUuzowCU8M25o/7sbd+nylAqsSPrudsonteJXuzY1AHdaYJbo2u16i+li4fIglOyXENbvs29nvmr8LTkndz5EdT9WIeZhi/WBL7DC40fUKI4GbMjBmNAuiWzuFIt8q46q+tC9+eWV5jGn8nrwyMvm45N6VJo8ZPLi/MYW3HWXhMinQb5Cl3/DyK/52uq6unfve3y4nOcLU6Dz7eBqFzOoD7g+hpRBu1MGBzV6ebg8Tf7zgFYZV9/cj/O3K4KzrLQiO+QPYzIfBZo3WFRoqTPxd86p9EoQf4m9XBv1EBvfjNA9OIf1TI/02HgLfxEPgm3gIfBMPgW+isiLIU5fnA1i4La/loeaY21O/UZPusaosqAiMgP08i1eqy7+Dn+ZvgzsA66zcz7P4Mwz+JH973AHYSWv+LIuHDIbv3CzJg4jUT/F3yB2Aw+KiH2Nxj8Fd8srt7E/TP8HfOXcATkvqfobFDQYr8iioZS0i488qHh6MDUH8NH8XuQNwSiCAn2BxxeCQvJJ1jR8JiTCYNcLwIJfXfJK/V7gDcI1AAJ9mccngWAe1Pc2RMKBvBbRYLJf6GH8vcwfgBQIBFBa/h4XBt2BQyr3vqompQm85hFf8ndeBfBJ/tm2MLjOTRyokLICG8PDlCP7DNZ0A/pDA1Sjei+qWpYOCHgBlIYB/zd9HCPzmzHhuUUdM05JvWoJb/F2oZP3WbLeNTxD4Xf2iB0uZYvaMu1b0y/L3Se4AfHAIf05Lz8g7dkBewse5A/DpOTC19Bs01uR9zvL8GeoSP6FEvknjTPL2SzEiXghi/iR1iZ/Twq+N6Yq9w0qMiKsE/jx3AH7cjLkqjGNSVnC4IDBiZUhvNPY71CV+xQ48F0Zf/bCHY6Xyq9wB+E1D+lAY9XwZaoKyw9/vU5f4bU9kRxhJuUTApvj9FXcA/siVG1icffgtc+9PuQPwl77wR578z7Y2GvHXm/j+buzpB/Ak1t/EQ+CbeAh8Ew+Bb+Ih8E08BL6JyYxpkT69Cg6tixIxP7I/Mp7icezYip40M3Z23FJ7wRi60lfe9eGil409cOcSKKtPvoOy4O4s30PgYkz+/czRhb7KXV/Z3bXGwpCW830HcPoqyyrlFse7JwocIufbOH4i8XahLwJuaI8yNejW8r4gkPup7euQ3CXgbMRktny9bHsJf78g7kpfec3LntF8V08RkwubXwz7jOzjSmAlVwedvrAW77u8V/pygerrC3lmBAbQXnr4KzhjediZ6soNn4vpyfcv9HVlaeYG5hJIAcZl8vu4sAvJcsfkTbTAOTkd2k/MK+d9We6CfOmNTpgP18AnBNABkbO9IseOT8mRty2DS31p2164mRXmSsT10g5eJ6Nz3PL3qCkFzK+88St1/Cc3dKmvKF29OFv8RDzQkRF7PxFmH/fGOGvwI6PipK+86zPrf4VnteYbeFZrfgAPgW/iIfBNPAS+iYfAN9E8FD548ODBgwcPHjx48ODBgwcPHjx48ODBgwcPHjx48ODBgwcPfgy/cWDqrfDpQoy/XrF+OwijLJYJBM/rVR8JrP9GABHEuJ0mwTje1+IhsIAksMEVIYyDKu2HwPy0Zk+GU5yHVUsUxh6Ff72D5q9jS2JEOGw0yoCqA3TQGJCmnHkqus3gj585f/9FABSEIwWPApcOufDLAbgSEIdDZHMgP1pYCI/hbFgLGZa7lvNXYQBaNzhEN46dbCBczQvzDZXm6891tu5FgfDzJu6LIn4MpzoAh1YzIUCIQ3My9JBmdX5eA0eu8B1XQQkFMe6mJmSeG62NOwBjI9Nuf4I+cNbEjSEMOFQs4HnY77SeKQBATLWczR4RJrpkUMZLR7hZdVYfpXzFoMW+HDdsFx2/e9TEfSEM97IYe6oWFwBooQIIvOtyHmdDwG15zuamDnEfDwxVGQesDxfb8MPBkv6qiftCiqfhpq12yY2ADgB9349nZQcASSLCFmcIbz9jYJpEY/qwSJ5HUnN4rOvUxG0hDM97dEcHN1XAOxeSRFAY1gMtAhD1SXzq5zrXwrH6IXU7oP/trdeE4Whzn5OAONiXHVqL3FEigtEpINopAFE3mNYT4TaBxOHCaxfxOFnoe9LE3yP5s2jS3NMyv80PdxYSbqD2kG44gdW0evSUy3/LtnPfDQDVOKwE1yHLndyPmrgjhOFsR5PMO6cy3PKmpZxn724hyugDaBsvhoZVM1+S+jVvuygnYDypHQA4GYAusjxZZL+JW0LUHDRtO7Qwmg3+SPnrdFSCgxIBuqEdJv2gDo8/DeGJVKmOWzaOalgqt8xVuJ4Bt5u4H4S5xZMD2nZC7UaFnHBK9frDRDysUqiVLCWB/75m6pgykePFgREtnKTaEhpmOvygifvBhlNdHGx7NygW59pbbaKJk+KhhTUhDMMvFADSf802nBGFT/7a3JWTsoODuOeeVinWu03cbRznBlkTZaLooOGA7JgVrUsHKDyYzglhyK9gIHC5Yw+bV7fw2W3irgSODKpRwgG0e4+cpk65auSPefG2GRMukFf3r/h4Ez8GCTWYMgMwZfpTz93JSKakDRFWgasDERLpSxgUBs1ogxIAu2a5rbOguDQXsdvE3XQJAYiHSoRQGBhec1A6QFTIyPAq8+9R7LEgS2hawyGF5j1P5N/X1qeCuM7IdhM3gEDcRM0g1OBorziotEEOIkBRRAx/F4DpyHlAaI04dgnk9sO/srsZvwDwbgIIAAyKOxXhKAHn/JwKsH4+p5ZYf2ZNvIRDKQg4gX0C8bYjlinC99r4IbhQPYyiMAhZNGqszgpmgIwSwDNQEc6gwITwBigEruSNsncsyh4jLzTx15AAwxUeHqJwh1LDS/ySMr31jCsonMy4u+Xpd5aCGmpJ4OZpba9ZMR9o4tfAgCkMCsAdijAICfV08ScflEQwFa1DjVR4JlAYAEyROZEM7tV+RMzToBx3Bg1QY61uz5u4ExwIDTdQoIgINVcRd4FBweKzcgjbFSdWI9LSESZ3ALAdNq5PJivbqsaoD8r0GMBgo2wFZasTCe8FETiglna0hpOEQWXaBNqNQHrDzTCyfPi/ALASi9cYNqrbAillI8ooGzMGGqAEcQkQgZPCEdyQwPLsZQgPr79sIV10LQAQ9Cqv0zMi98cDWOKBQtvVwkIWKVscuhrTBMFU53FTf+MQpm4oOwaS0aDEZxgQliRI1FkxyZ1sEZRxU1zXHTOmjOtYhfRq2zgPPReSkPvOd3sQH3ZbFOS0lI8aAEgHCZsfVE4vJ0EFrdqNdYPApC+2BGtlXoclh+L/MQoZppGjN0Ki40SJgwEBEdU+uqRLGYvqqMLzawIzbXedkDCIUOSmRssKuSO3ODxnMkI8ENVkLUUcZrZZtRVuQHzIjPuKQBUAe+F4X5p75WNXgfDOQegJXmoBZdrvWQxl8Oa0lDpzrl/TKRB6SNp1YkBwJYEqOLCAd4XMXMmt2pt7QsJJAKbzeYppoEk/qF8fpXD4IEAAjYV4wHVJ4DF/B4hehcr/yDCGlyIsUwUmwXCACC/5ywBj0sSWkdTydQ67M8/NQD05G/QI5vj7E8+vomVxA8wXDxyRh08Gws2raJKWIiuU+dAnA3JCB3x/53/zbx5P+OsQn3RCmC2qoAiGOdJKbMwzwV2ncUlHX3T4bAhnhdxaFUwd2JQmXvPsMtro94ZY30yzW+XYJsJKWREFEQEHXWoxLZleBrBIRX5h2/eygBkCBo/8xWI9WsMxL7y5KbJKb8eJFSVAhqdGpIAIn+sFF/TBJK8BVGYyN2/XA4OwWf2XIW264uv+IigBes/qZIeYksCiWXZrEimiImCgxO8TdKFiikj7XGpmMakFH7r4F2yQ8QZGxs7AaVK4q11IF4FXRu10BM2gBdkA8BBimNOmZ6FaHtqjAaCps295hMCsszkHVsaoDRTKENoaywGJuGkqZABpEEgtBsMP82lJ+tgiEMl4kCWpVDEm2FQiAJZnmVjWdlgtoPnaxk/uymKUYujqk2SQYYuzNyy0jKNKAAMSeW5NoOSFR2xUTOfnBBkCCSGEEJENm1ky2Li43YuP9VsgIHBydnTUcJOL6LIwWLyrSRo0Cy9d1EM4T0SFy6ijZ8hGDNs6euwPt83DVZDwrB0Tj3GG3zkriIJSReTTVRGCCCEi1Ld07ne9CZmianeGRCBr9ipJGer+FrdPYQ7UpIk6lv+qijtiSWBYjG7zyzdWslx3R8BdtCynWZx4GL6uz5qeSCECgQS0FXi6Irow5Dynu9fvKw9RWk+MdxvSlIxHqcAUjGIHy2BGuM8PJyx1MQAQ4g4lQpGJDjJWBMKHVMd29zvOLpu9MM79CCyOCOBCOqgQ1lN3oLi5cKLPyW8slxFAnJEZTokNAhGQoZcVWtmklqrci8LejkDSFUZERBNgSCyD6TFMbIMOnlSMMErxlkoIfDMn4iECkcvnW5UU1H8lpO+qIbDMdwfFSz1RpYinNV9e/wpkTQgdUHEbPJEVwlwEAr3AYalruHEdwgpBg8ACUtzYfPM+MThmkzxAsqp2BpABBnHLuridClVzCiHQ2E+dk8OM+J9YmDnClVlxX+o2pmycFDO2Xt02c9SYsyAFbmVi3CuwjHAiF41lZUJEaimyxMoGi6jekWFiNGb39qdoHIBUJ1WGWFmQLhaowjIOYSlGzQ+KFTiAGVwRAI6yt8fBWrmApZRNej1YR1vm5GGeobKIdazrL5AyJHX0igyXcphrzA5RdUBcYnDzSvVPiXYJfIh7WapgnK5Yz3/HFXhD3WWMQlbdqKKP+je8fy7wB9Cgbw3aNZMMRohJCUObmg7cJjuOALs2wgZzWNC6AcLQrKc210EAz1esZ4/lhxaInVNb2c+LY/0mCSb3XMnS17EDEsyjx0VSEwPqQxQgEOhQTYWEASIGhaMDoNI1MRBYX5ldIpQn56OvwKZZeEF+p/D+MsipfVnn6ip9KBywFs22KeZgptRz/ZxQ0I11rGcr1q9C1mEE939bV/4JFg8TIZ20mQSHhDMDcbYjNGG5li4XJSm947i07mzF+hz7WnXz6itHA/80pIGK6HyDHA+y8041F/l7UAXRVY+n7SxcKLRQAmg1+Rwt5Nf2jQnbcc3IrQj0HWzrXpoO8GbuZ7qIWYvuSz2LUYU62+pFpvWugDBMpS+VvR3A6W9a8p/zSKhwO7S/X49aGzvT5bgBiSEgOWo4jp8ivCH4r4lo6FHWJZU/VxtCiDBcxT3g7i4BqSr5x+WuNb6x3Dz+fUkO8XhhMdOvoAc2Jp+QcKADxBwuMCepo9TQhgK2XFso8Fx7Lf18bfHWas2N5eZbPgVnRDWT/DkwCfAtnJEKUwaT4WxKJWADN6y2wBuzmqK9eJQK9Pna7InAygheRQZktZWjDNVeWqxnriOLp0mUv0C1qp7hpTif0n2ZC3wR8IxcpSRT5H7J37Tgeo6FTaey+ERzQbpQJvdDVtFW97gxgSODAACHo1k+NwComKuV6/pYytKohefLzdtZia+Iy2wQF/7gsJZD3MBRLyzJm72BL7cPF4qVGl03gOhkFsJTcRMxr0zE5d4Am7t2wKOZ1TzTyt5mW3cxrKoAMPrOYDrYWynSG8GFapPQCVSyytGtBTqYGNS8chO4mpN2DGmvk8wijvg3u/JfM8h+oVnmU4ebdbNi9nvCFzkN6fOmDd3oBjC9j/z72tnb3HgHQ4ShNGGA/a+ODVhL0bZtW5VpuC5hN3HlGhGRHYfBLUZBEenzhZfKy2TQBCjJTmK1+d2eBM4ozemvn4mgFTNTdHCRNiIHcQMzGhC4+zIBPsGj2A+iHqVuv2y36C0Ah4po2jLar+exCyvWiSLM1exqnmmZMaqPf//bqGa7QaFHg14wjwfO4cydcRxk5BqbfFAXFwBdm96bbJfrna9Yl6JxpW8m5zAcJdQ/BAy+oMs71P4GSji5mccD5wgjmzA4EGi6Yd4WL3HpDjhIUgqA4+XmgxfpTXUP62Dpv9zicdZ0+/cCeAnhFqknvCslVi10mvu0oe+5tqcr1icPm1WA4t9XmQTHrMtXYHCMShtxtD/jr0KwZ4QNiCApmQNxYPIkGMLDWluKbFRbT2nestPTkAAeaBtLtMfNfQ3krCXLCfCvSWzQl+1JcoY5ihMrGONe+gTAUDt5guMV6wcY81bl12JPc7So7xJMEOkBjPHAs0C7MDKFFgGTcyb2V6x/CH9O4CIv/Onn/T9lyoi+XL2l8wAAAABJRU5ErkJggg=="
	copper_showdown_version = "0.0.1"
	copper_showdown_api_version = "0.0.1"
	num_bitplanes = 3
	code = '''
	local num_frames=1

	function copperframe(n)
	local frame = CopperListBuilder:new()
	local name = string.format("frame_%d", n)
	print(name)
	frame:add_label(name)

	local image = bobs[1]

	local planes = image.num_bitplanes
	local pitch = image.width/8
	local modulo = pitch*(planes-1)

	for i=0,planes-1 do
	local p = (image.addr+pitch*i);
	frame:push({
	BPL1PTH+i*4, p>>16,
	BPL1PTL+i*4, p&0xffff,
	})
	end

	frame:push({
	BPL1MOD, modulo,
	BPL2MOD, modulo,
	BPLCON0, 0x200+planes*0x1000,
	})

	for i=0,#image.colors-1 do
	frame:push(COLOR00+i*2, image.colors[i+1])
	end

	local next_frame = n % num_frames +1
	local next_frame_label = string.format("frame_%d", next_frame)
	frame:push({
	COP1LCH, next_frame_label .. "%h",
	COP1LCL, next_frame_label .. "%l",
	})

	frame:push_wait_xy(0, 200)
	frame:push({
	BPLCON0, 0,
	})

	return frame
	end


	local anim = CopperListsBuilder:new()
	for i=1,num_frames do
	anim:push_copper_list_builder(copperframe(i))
	end

	return anim:build(), DMAF_RASTER
	'''

	[[images]]
	name = "x2.png"
	data = 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"