utils/conv_gen.py: generate a single file

Instead of generating every convolutional code into a separate
file (such as conv_xcch_gen.c, conv_cs3_gen.c), it is better to
have a single file, containing all definitions, because as many
convolutional codes we add, as many entries we will have to add
into 'src/gsm/Makefile.am'. This approach increases readability
of the Makefile.am, and also makes us able to share some data
between some convolutional code definitions.

For example: xCCH, RACH, SCH, TCH/F, both CS2 and CS3 may use
the same *_state[][2] and *_output[][2] arrays within a single
file. This optimization is currently WIP.

Change-Id: Ib4e4ee5fdde38429e68e3b2fa50ec03a18f59daa

1 files changed, 315 insertions, 318 deletions

diff --git a/utils/conv_gen.py b/utils/conv_gen.py
index a4f918fd..38ea63b5 100644
--- a/utils/conv_gen.py
+++ b/utils/conv_gen.py
@@ -222,325 +222,322 @@ CCH_poly = [
 	( G1, 1 ),
 ]
 
-# xCCH definition
-xCCH = ConvolutionalCode(
-	224,
-	CCH_poly,
-	name = "xcch",
-	description = [
-		"xCCH convolutional code:",
-		"228 bits blocks, rate 1/2, k = 5",
-		"G0 = 1 + D3 + D4",
-		"G1 = 1 + D + D3 + D4",
-	]
-)
-
-# CS2 definition
-CS2 = ConvolutionalCode(
-	290,
-	CCH_poly,
-	puncture = [
-		 15,  19,  23,  27,  31,  35,  43,  47,  51,  55,  59,  63,  67,  71,
-		 75,  79,  83,  91,  95,  99, 103, 107, 111, 115, 119, 123, 127, 131,
-		139, 143, 147, 151, 155, 159, 163, 167, 171, 175, 179, 187, 191, 195,
-		199, 203, 207, 211, 215, 219, 223, 227, 235, 239, 243, 247, 251, 255,
-		259, 263, 267, 271, 275, 283, 287, 291, 295, 299, 303, 307, 311, 315,
-		319, 323, 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 371, 379,
-		383, 387, 391, 395, 399, 403, 407, 411, 415, 419, 427, 431, 435, 439,
-		443, 447, 451, 455, 459, 463, 467, 475, 479, 483, 487, 491, 495, 499,
-		503, 507, 511, 515, 523, 527, 531, 535, 539, 543, 547, 551, 555, 559,
-		563, 571, 575, 579, 583, 587, -1
-	],
-	name = "cs2",
-	description = [
-		"CS2 convolutional code:",
-		"G0 = 1 + D3 + D4",
-		"G1 = 1 + D + D3 + D4",
-	]
-)
-
-# CS3 definition
-CS3 = ConvolutionalCode(
-	334,
-	CCH_poly,
-	puncture = [
-		 15,  17,  21,  23,  27,  29,  33,  35,  39,  41,  45,  47,  51,  53,
-		 57,  59,  63,  65,  69,  71,  75,  77,  81,  83,  87,  89,  93,  95,
-		 99, 101, 105, 107, 111, 113, 117, 119, 123, 125, 129, 131, 135, 137,
-		141, 143, 147, 149, 153, 155, 159, 161, 165, 167, 171, 173, 177, 179,
-		183, 185, 189, 191, 195, 197, 201, 203, 207, 209, 213, 215, 219, 221,
-		225, 227, 231, 233, 237, 239, 243, 245, 249, 251, 255, 257, 261, 263,
-		267, 269, 273, 275, 279, 281, 285, 287, 291, 293, 297, 299, 303, 305,
-		309, 311, 315, 317, 321, 323, 327, 329, 333, 335, 339, 341, 345, 347,
-		351, 353, 357, 359, 363, 365, 369, 371, 375, 377, 381, 383, 387, 389,
-		393, 395, 399, 401, 405, 407, 411, 413, 417, 419, 423, 425, 429, 431,
-		435, 437, 441, 443, 447, 449, 453, 455, 459, 461, 465, 467, 471, 473,
-		477, 479, 483, 485, 489, 491, 495, 497, 501, 503, 507, 509, 513, 515,
-		519, 521, 525, 527, 531, 533, 537, 539, 543, 545, 549, 551, 555, 557,
-		561, 563, 567, 569, 573, 575, 579, 581, 585, 587, 591, 593, 597, 599,
-		603, 605, 609, 611, 615, 617, 621, 623, 627, 629, 633, 635, 639, 641,
-		645, 647, 651, 653, 657, 659, 663, 665, 669, 671, -1
-	],
-	name = "cs3",
-	description = [
-		"CS3 convolutional code:",
-		"G0 = 1 + D3 + D4",
-		"G1 = 1 + D + D3 + D4",
-	]
-)
-
-# TCH_AFS_12_2 definition
-TCH_AFS_12_2 = ConvolutionalCode(
-	250,
-	[
-		(  1,  1 ),
-		( G1, G0 ),
-	],
-	puncture = [
-		321, 325, 329, 333, 337, 341, 345, 349, 353, 357, 361, 363,
-		365, 369, 373, 377, 379, 381, 385, 389, 393, 395, 397, 401,
-		405, 409, 411, 413, 417, 421, 425, 427, 429, 433, 437, 441,
-		443, 445, 449, 453, 457, 459, 461, 465, 469, 473, 475, 477,
-		481, 485, 489, 491, 493, 495, 497, 499, 501, 503, 505, 507,
-		-1
-	],
-	name = 'tch_afs_12_2',
-	description = [
-		"TCH/AFS 12.2 kbits convolutional code:",
-		"250 bits block, rate 1/2, punctured",
-		"G0/G0 = 1",
-		"G1/G0 = 1 + D + D3 + D4 / 1 + D3 + D4",
-	]
-)
-
-# TCH_AFS_10_2 definition
-TCH_AFS_10_2 = ConvolutionalCode(
-	210,
-	[
-		( G1, G3 ),
-		( G2, G3 ),
-		(  1,  1 ),
-	],
-	puncture = [
-		  1,   4,   7,  10,  16,  19,  22,  28,  31,  34,  40,  43,
-		 46,  52,  55,  58,  64,  67,  70,  76,  79,  82,  88,  91,
-		 94, 100, 103, 106, 112, 115, 118, 124, 127, 130, 136, 139,
-		142, 148, 151, 154, 160, 163, 166, 172, 175, 178, 184, 187,
-		190, 196, 199, 202, 208, 211, 214, 220, 223, 226, 232, 235,
-		238, 244, 247, 250, 256, 259, 262, 268, 271, 274, 280, 283,
-		286, 292, 295, 298, 304, 307, 310, 316, 319, 322, 325, 328,
-		331, 334, 337, 340, 343, 346, 349, 352, 355, 358, 361, 364,
-		367, 370, 373, 376, 379, 382, 385, 388, 391, 394, 397, 400,
-		403, 406, 409, 412, 415, 418, 421, 424, 427, 430, 433, 436,
-		439, 442, 445, 448, 451, 454, 457, 460, 463, 466, 469, 472,
-		475, 478, 481, 484, 487, 490, 493, 496, 499, 502, 505, 508,
-		511, 514, 517, 520, 523, 526, 529, 532, 535, 538, 541, 544,
-		547, 550, 553, 556, 559, 562, 565, 568, 571, 574, 577, 580,
-		583, 586, 589, 592, 595, 598, 601, 604, 607, 609, 610, 613,
-		616, 619, 621, 622, 625, 627, 628, 631, 633, 634, 636, 637,
-		639, 640, -1
-	],
-	name = 'tch_afs_10_2',
-	description = [
-		"TCH/AFS 10.2 kbits convolutional code:",
-		"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
-		"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
-		"G3/G3 = 1",
-	]
-)
-
-# TCH_AFS_7_95 definition
-TCH_AFS_7_95 = ConvolutionalCode(
-	165,
-	[
-		(  1,  1 ),
-		( G5, G4 ),
-		( G6, G4 ),
-	],
-	puncture = [
-		  1,   2,   4,   5,   8,  22,  70, 118, 166, 214, 262, 310,
-		317, 319, 325, 332, 334, 341, 343, 349, 356, 358, 365, 367,
-		373, 380, 382, 385, 389, 391, 397, 404, 406, 409, 413, 415,
-		421, 428, 430, 433, 437, 439, 445, 452, 454, 457, 461, 463,
-		469, 476, 478, 481, 485, 487, 490, 493, 500, 502, 503, 505,
-		506, 508, 509, 511, 512, -1
-	],
-	name = 'tch_afs_7_95',
-	description = [
-		"TCH/AFS 7.95 kbits convolutional code:",
-		"G4/G4 = 1",
-		"G5/G4 = 1 + D + D4 + D6           / 1 + D2 + D3 + D5 + D6",
-		"G6/G4 = 1 + D + D2 + D3 + D4 + D6 / 1 + D2 + D3 + D5 + D6",
-	]
-)
-
-# TCH_AFS_7_4 definition
-TCH_AFS_7_4 = ConvolutionalCode(
-	154,
-	[
-		( G1, G3 ),
-		( G2, G3 ),
-		(  1,  1 ),
-	],
-	puncture = [
-		  0, 355, 361, 367, 373, 379, 385, 391, 397, 403, 409, 415,
-		421, 427, 433, 439, 445, 451, 457, 460, 463, 466, 468, 469,
-		471, 472, -1
-	],
-	name = 'tch_afs_7_4',
-	description = [
-		"TCH/AFS 7.4 kbits convolutional code:",
-		"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
-		"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
-		"G3/G3 = 1",
-	]
-)
-
-# TCH_AFS_6_7 definition
-TCH_AFS_6_7 = ConvolutionalCode(
-	140,
-	[
-		( G1, G3 ),
-		( G2, G3 ),
-		(  1,  1 ),
-		(  1,  1 ),
-	],
-	puncture = [
-		  1,   3,   7,  11,  15,  27,  39,  55,  67,  79,  95, 107,
-		119, 135, 147, 159, 175, 187, 199, 215, 227, 239, 255, 267,
-		279, 287, 291, 295, 299, 303, 307, 311, 315, 319, 323, 327,
-		331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 369, 371,
-		375, 377, 379, 383, 385, 387, 391, 393, 395, 399, 401, 403,
-		407, 409, 411, 415, 417, 419, 423, 425, 427, 431, 433, 435,
-		439, 441, 443, 447, 449, 451, 455, 457, 459, 463, 465, 467,
-		471, 473, 475, 479, 481, 483, 487, 489, 491, 495, 497, 499,
-		503, 505, 507, 511, 513, 515, 519, 521, 523, 527, 529, 531,
-		535, 537, 539, 543, 545, 547, 549, 551, 553, 555, 557, 559,
-		561, 563, 565, 567, 569, 571, 573, 575, -1
-	],
-	name = 'tch_afs_6_7',
-	description = [
-		"TCH/AFS 6.7 kbits convolutional code:",
-		"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
-		"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
-		"G3/G3 = 1",
-		"G3/G3 = 1",
-	]
-)
-
-# TCH_AFS_5_9 definition
-TCH_AFS_5_9 = ConvolutionalCode(
-	124,
-	[
-		( G4, G6 ),
-		( G5, G6 ),
-		(  1,  1),
-		(  1,  1),
-	],
-	puncture = [
-		  0,   1,   3,   5,   7,  11,  15,  31,  47,  63,  79,  95,
-		111, 127, 143, 159, 175, 191, 207, 223, 239, 255, 271, 287,
-		303, 319, 327, 331, 335, 343, 347, 351, 359, 363, 367, 375,
-		379, 383, 391, 395, 399, 407, 411, 415, 423, 427, 431, 439,
-		443, 447, 455, 459, 463, 467, 471, 475, 479, 483, 487, 491,
-		495, 499, 503, 507, 509, 511, 512, 513, 515, 516, 517, 519,
-		-1
-	],
-	name = 'tch_afs_5_9',
-	description = [
-		"TCH/AFS 5.9 kbits convolutional code:",
-		"124 bits",
-		"G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6",
-		"G5/G6 = 1 + D + D4 + D6       / 1 + D + D2 + D3 + D4 + D6",
-		"G6/G6 = 1",
-		"G6/G6 = 1",
-	]
-)
-
-# TCH_AFS_5_15 definition
-TCH_AFS_5_15 = ConvolutionalCode(
-	109,
-	[
-		( G1, G3 ),
-		( G1, G3 ),
-		( G2, G3 ),
-		(  1,  1 ),
-		(  1,  1 ),
-	],
-	puncture = [
-		  0,   4,   5,   9,  10,  14,  15,  20,  25,  30,  35,  40,
-		 50,  60,  70,  80,  90, 100, 110, 120, 130, 140, 150, 160,
-		170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280,
-		290, 300, 310, 315, 320, 325, 330, 334, 335, 340, 344, 345,
-		350, 354, 355, 360, 364, 365, 370, 374, 375, 380, 384, 385,
-		390, 394, 395, 400, 404, 405, 410, 414, 415, 420, 424, 425,
-		430, 434, 435, 440, 444, 445, 450, 454, 455, 460, 464, 465,
-		470, 474, 475, 480, 484, 485, 490, 494, 495, 500, 504, 505,
-		510, 514, 515, 520, 524, 525, 529, 530, 534, 535, 539, 540,
-		544, 545, 549, 550, 554, 555, 559, 560, 564, -1
-	],
-	name = 'tch_afs_5_15',
-	description = [
-		"TCH/AFS 5.15 kbits convolutional code:",
-		"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
-		"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
-		"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
-		"G3/G3 = 1",
-		"G3/G3 = 1",
-	]
-)
-
-# TCH_AFS_4_75 definition
-TCH_AFS_4_75 = ConvolutionalCode(
-	101,
-	[
-		( G4, G6 ),
-		( G4, G6 ),
-		( G5, G6 ),
-		(  1,  1 ),
-		(  1,  1 ),
-	],
-	puncture = [
-		  0,   1,   2,   4,   5,   7,   9,  15,  25,  35,  45,  55,
-		 65,  75,  85,  95, 105, 115, 125, 135, 145, 155, 165, 175,
-		185, 195, 205, 215, 225, 235, 245, 255, 265, 275, 285, 295,
-		305, 315, 325, 335, 345, 355, 365, 375, 385, 395, 400, 405,
-		410, 415, 420, 425, 430, 435, 440, 445, 450, 455, 459, 460,
-		465, 470, 475, 479, 480, 485, 490, 495, 499, 500, 505, 509,
-		510, 515, 517, 519, 520, 522, 524, 525, 526, 527, 529, 530,
-		531, 532, 534, -1
-	],
-	name = 'tch_afs_4_75',
-	description = [
-		"TCH/AFS 4.75 kbits convolutional code:",
-		"G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6",
-		"G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6",
-		"G5/G6 = 1 + D + D4 + D6       / 1 + D + D2 + D3 + D4 + D6",
-		"G6/G6 = 1",
-		"G6/G6 = 1",
-	]
-)
-
-def gen_c(dest, pref, code):
-	f = open(os.path.join(dest, 'conv_' + code.name + '_gen.c'), 'w')
+conv_codes = [
+	# xCCH definition
+	ConvolutionalCode(
+		224,
+		CCH_poly,
+		name = "xcch",
+		description = [
+			"xCCH convolutional code:",
+			"228 bits blocks, rate 1/2, k = 5",
+			"G0 = 1 + D3 + D4",
+			"G1 = 1 + D + D3 + D4",
+		]
+	),
+
+	# CS2 definition
+	ConvolutionalCode(
+		290,
+		CCH_poly,
+		puncture = [
+			 15,  19,  23,  27,  31,  35,  43,  47,  51,  55,  59,  63,  67,  71,
+			 75,  79,  83,  91,  95,  99, 103, 107, 111, 115, 119, 123, 127, 131,
+			139, 143, 147, 151, 155, 159, 163, 167, 171, 175, 179, 187, 191, 195,
+			199, 203, 207, 211, 215, 219, 223, 227, 235, 239, 243, 247, 251, 255,
+			259, 263, 267, 271, 275, 283, 287, 291, 295, 299, 303, 307, 311, 315,
+			319, 323, 331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 371, 379,
+			383, 387, 391, 395, 399, 403, 407, 411, 415, 419, 427, 431, 435, 439,
+			443, 447, 451, 455, 459, 463, 467, 475, 479, 483, 487, 491, 495, 499,
+			503, 507, 511, 515, 523, 527, 531, 535, 539, 543, 547, 551, 555, 559,
+			563, 571, 575, 579, 583, 587, -1
+		],
+		name = "cs2",
+		description = [
+			"CS2 convolutional code:",
+			"G0 = 1 + D3 + D4",
+			"G1 = 1 + D + D3 + D4",
+		]
+	),
+
+	# CS3 definition
+	ConvolutionalCode(
+		334,
+		CCH_poly,
+		puncture = [
+			 15,  17,  21,  23,  27,  29,  33,  35,  39,  41,  45,  47,  51,  53,
+			 57,  59,  63,  65,  69,  71,  75,  77,  81,  83,  87,  89,  93,  95,
+			 99, 101, 105, 107, 111, 113, 117, 119, 123, 125, 129, 131, 135, 137,
+			141, 143, 147, 149, 153, 155, 159, 161, 165, 167, 171, 173, 177, 179,
+			183, 185, 189, 191, 195, 197, 201, 203, 207, 209, 213, 215, 219, 221,
+			225, 227, 231, 233, 237, 239, 243, 245, 249, 251, 255, 257, 261, 263,
+			267, 269, 273, 275, 279, 281, 285, 287, 291, 293, 297, 299, 303, 305,
+			309, 311, 315, 317, 321, 323, 327, 329, 333, 335, 339, 341, 345, 347,
+			351, 353, 357, 359, 363, 365, 369, 371, 375, 377, 381, 383, 387, 389,
+			393, 395, 399, 401, 405, 407, 411, 413, 417, 419, 423, 425, 429, 431,
+			435, 437, 441, 443, 447, 449, 453, 455, 459, 461, 465, 467, 471, 473,
+			477, 479, 483, 485, 489, 491, 495, 497, 501, 503, 507, 509, 513, 515,
+			519, 521, 525, 527, 531, 533, 537, 539, 543, 545, 549, 551, 555, 557,
+			561, 563, 567, 569, 573, 575, 579, 581, 585, 587, 591, 593, 597, 599,
+			603, 605, 609, 611, 615, 617, 621, 623, 627, 629, 633, 635, 639, 641,
+			645, 647, 651, 653, 657, 659, 663, 665, 669, 671, -1
+		],
+		name = "cs3",
+		description = [
+			"CS3 convolutional code:",
+			"G0 = 1 + D3 + D4",
+			"G1 = 1 + D + D3 + D4",
+		]
+	),
+
+	# TCH_AFS_12_2 definition
+	ConvolutionalCode(
+		250,
+		[
+			(  1,  1 ),
+			( G1, G0 ),
+		],
+		puncture = [
+			321, 325, 329, 333, 337, 341, 345, 349, 353, 357, 361, 363,
+			365, 369, 373, 377, 379, 381, 385, 389, 393, 395, 397, 401,
+			405, 409, 411, 413, 417, 421, 425, 427, 429, 433, 437, 441,
+			443, 445, 449, 453, 457, 459, 461, 465, 469, 473, 475, 477,
+			481, 485, 489, 491, 493, 495, 497, 499, 501, 503, 505, 507,
+			-1
+		],
+		name = 'tch_afs_12_2',
+		description = [
+			"TCH/AFS 12.2 kbits convolutional code:",
+			"250 bits block, rate 1/2, punctured",
+			"G0/G0 = 1",
+			"G1/G0 = 1 + D + D3 + D4 / 1 + D3 + D4",
+		]
+	),
+
+	# TCH_AFS_10_2 definition
+	ConvolutionalCode(
+		210,
+		[
+			( G1, G3 ),
+			( G2, G3 ),
+			(  1,  1 ),
+		],
+		puncture = [
+			  1,   4,   7,  10,  16,  19,  22,  28,  31,  34,  40,  43,
+			 46,  52,  55,  58,  64,  67,  70,  76,  79,  82,  88,  91,
+			 94, 100, 103, 106, 112, 115, 118, 124, 127, 130, 136, 139,
+			142, 148, 151, 154, 160, 163, 166, 172, 175, 178, 184, 187,
+			190, 196, 199, 202, 208, 211, 214, 220, 223, 226, 232, 235,
+			238, 244, 247, 250, 256, 259, 262, 268, 271, 274, 280, 283,
+			286, 292, 295, 298, 304, 307, 310, 316, 319, 322, 325, 328,
+			331, 334, 337, 340, 343, 346, 349, 352, 355, 358, 361, 364,
+			367, 370, 373, 376, 379, 382, 385, 388, 391, 394, 397, 400,
+			403, 406, 409, 412, 415, 418, 421, 424, 427, 430, 433, 436,
+			439, 442, 445, 448, 451, 454, 457, 460, 463, 466, 469, 472,
+			475, 478, 481, 484, 487, 490, 493, 496, 499, 502, 505, 508,
+			511, 514, 517, 520, 523, 526, 529, 532, 535, 538, 541, 544,
+			547, 550, 553, 556, 559, 562, 565, 568, 571, 574, 577, 580,
+			583, 586, 589, 592, 595, 598, 601, 604, 607, 609, 610, 613,
+			616, 619, 621, 622, 625, 627, 628, 631, 633, 634, 636, 637,
+			639, 640, -1
+		],
+		name = 'tch_afs_10_2',
+		description = [
+			"TCH/AFS 10.2 kbits convolutional code:",
+			"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
+			"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
+			"G3/G3 = 1",
+		]
+	),
+
+	# TCH_AFS_7_95 definition
+	ConvolutionalCode(
+		165,
+		[
+			(  1,  1 ),
+			( G5, G4 ),
+			( G6, G4 ),
+		],
+		puncture = [
+			  1,   2,   4,   5,   8,  22,  70, 118, 166, 214, 262, 310,
+			317, 319, 325, 332, 334, 341, 343, 349, 356, 358, 365, 367,
+			373, 380, 382, 385, 389, 391, 397, 404, 406, 409, 413, 415,
+			421, 428, 430, 433, 437, 439, 445, 452, 454, 457, 461, 463,
+			469, 476, 478, 481, 485, 487, 490, 493, 500, 502, 503, 505,
+			506, 508, 509, 511, 512, -1
+		],
+		name = 'tch_afs_7_95',
+		description = [
+			"TCH/AFS 7.95 kbits convolutional code:",
+			"G4/G4 = 1",
+			"G5/G4 = 1 + D + D4 + D6           / 1 + D2 + D3 + D5 + D6",
+			"G6/G4 = 1 + D + D2 + D3 + D4 + D6 / 1 + D2 + D3 + D5 + D6",
+		]
+	),
+
+	# TCH_AFS_7_4 definition
+	ConvolutionalCode(
+		154,
+		[
+			( G1, G3 ),
+			( G2, G3 ),
+			(  1,  1 ),
+		],
+		puncture = [
+			  0, 355, 361, 367, 373, 379, 385, 391, 397, 403, 409, 415,
+			421, 427, 433, 439, 445, 451, 457, 460, 463, 466, 468, 469,
+			471, 472, -1
+		],
+		name = 'tch_afs_7_4',
+		description = [
+			"TCH/AFS 7.4 kbits convolutional code:",
+			"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
+			"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
+			"G3/G3 = 1",
+		]
+	),
+
+	# TCH_AFS_6_7 definition
+	ConvolutionalCode(
+		140,
+		[
+			( G1, G3 ),
+			( G2, G3 ),
+			(  1,  1 ),
+			(  1,  1 ),
+		],
+		puncture = [
+			  1,   3,   7,  11,  15,  27,  39,  55,  67,  79,  95, 107,
+			119, 135, 147, 159, 175, 187, 199, 215, 227, 239, 255, 267,
+			279, 287, 291, 295, 299, 303, 307, 311, 315, 319, 323, 327,
+			331, 335, 339, 343, 347, 351, 355, 359, 363, 367, 369, 371,
+			375, 377, 379, 383, 385, 387, 391, 393, 395, 399, 401, 403,
+			407, 409, 411, 415, 417, 419, 423, 425, 427, 431, 433, 435,
+			439, 441, 443, 447, 449, 451, 455, 457, 459, 463, 465, 467,
+			471, 473, 475, 479, 481, 483, 487, 489, 491, 495, 497, 499,
+			503, 505, 507, 511, 513, 515, 519, 521, 523, 527, 529, 531,
+			535, 537, 539, 543, 545, 547, 549, 551, 553, 555, 557, 559,
+			561, 563, 565, 567, 569, 571, 573, 575, -1
+		],
+		name = 'tch_afs_6_7',
+		description = [
+			"TCH/AFS 6.7 kbits convolutional code:",
+			"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
+			"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
+			"G3/G3 = 1",
+			"G3/G3 = 1",
+		]
+	),
+
+	# TCH_AFS_5_9 definition
+	ConvolutionalCode(
+		124,
+		[
+			( G4, G6 ),
+			( G5, G6 ),
+			(  1,  1),
+			(  1,  1),
+		],
+		puncture = [
+			  0,   1,   3,   5,   7,  11,  15,  31,  47,  63,  79,  95,
+			111, 127, 143, 159, 175, 191, 207, 223, 239, 255, 271, 287,
+			303, 319, 327, 331, 335, 343, 347, 351, 359, 363, 367, 375,
+			379, 383, 391, 395, 399, 407, 411, 415, 423, 427, 431, 439,
+			443, 447, 455, 459, 463, 467, 471, 475, 479, 483, 487, 491,
+			495, 499, 503, 507, 509, 511, 512, 513, 515, 516, 517, 519,
+			-1
+		],
+		name = 'tch_afs_5_9',
+		description = [
+			"TCH/AFS 5.9 kbits convolutional code:",
+			"124 bits",
+			"G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6",
+			"G5/G6 = 1 + D + D4 + D6       / 1 + D + D2 + D3 + D4 + D6",
+			"G6/G6 = 1",
+			"G6/G6 = 1",
+		]
+	),
+
+	# TCH_AFS_5_15 definition
+	ConvolutionalCode(
+		109,
+		[
+			( G1, G3 ),
+			( G1, G3 ),
+			( G2, G3 ),
+			(  1,  1 ),
+			(  1,  1 ),
+		],
+		puncture = [
+			  0,   4,   5,   9,  10,  14,  15,  20,  25,  30,  35,  40,
+			 50,  60,  70,  80,  90, 100, 110, 120, 130, 140, 150, 160,
+			170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280,
+			290, 300, 310, 315, 320, 325, 330, 334, 335, 340, 344, 345,
+			350, 354, 355, 360, 364, 365, 370, 374, 375, 380, 384, 385,
+			390, 394, 395, 400, 404, 405, 410, 414, 415, 420, 424, 425,
+			430, 434, 435, 440, 444, 445, 450, 454, 455, 460, 464, 465,
+			470, 474, 475, 480, 484, 485, 490, 494, 495, 500, 504, 505,
+			510, 514, 515, 520, 524, 525, 529, 530, 534, 535, 539, 540,
+			544, 545, 549, 550, 554, 555, 559, 560, 564, -1
+		],
+		name = 'tch_afs_5_15',
+		description = [
+			"TCH/AFS 5.15 kbits convolutional code:",
+			"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
+			"G1/G3 = 1 + D + D3 + D4 / 1 + D + D2 + D3 + D4",
+			"G2/G3 = 1 + D2 + D4     / 1 + D + D2 + D3 + D4",
+			"G3/G3 = 1",
+			"G3/G3 = 1",
+		]
+	),
+
+	# TCH_AFS_4_75 definition
+	ConvolutionalCode(
+		101,
+		[
+			( G4, G6 ),
+			( G4, G6 ),
+			( G5, G6 ),
+			(  1,  1 ),
+			(  1,  1 ),
+		],
+		puncture = [
+			  0,   1,   2,   4,   5,   7,   9,  15,  25,  35,  45,  55,
+			 65,  75,  85,  95, 105, 115, 125, 135, 145, 155, 165, 175,
+			185, 195, 205, 215, 225, 235, 245, 255, 265, 275, 285, 295,
+			305, 315, 325, 335, 345, 355, 365, 375, 385, 395, 400, 405,
+			410, 415, 420, 425, 430, 435, 440, 445, 450, 455, 459, 460,
+			465, 470, 475, 479, 480, 485, 490, 495, 499, 500, 505, 509,
+			510, 515, 517, 519, 520, 522, 524, 525, 526, 527, 529, 530,
+			531, 532, 534, -1
+		],
+		name = 'tch_afs_4_75',
+		description = [
+			"TCH/AFS 4.75 kbits convolutional code:",
+			"G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6",
+			"G4/G6 = 1 + D2 + D3 + D5 + D6 / 1 + D + D2 + D3 + D4 + D6",
+			"G5/G6 = 1 + D + D4 + D6       / 1 + D + D2 + D3 + D4 + D6",
+			"G6/G6 = 1",
+			"G6/G6 = 1",
+		]
+	)
+]
+
+if __name__ == '__main__':
+	path = sys.argv[1] if len(sys.argv) > 1 else os.getcwd()
+	prefix = "gsm0503"
+
+	print >>sys.stderr, "Generating convolutional codes..."
+
+	# Open a new file for writing
+	f = open(os.path.join(path, "gsm0503_conv.c"), 'w')
 	print >>f, mod_license
 	print >>f, "#include <stdint.h>"
 	print >>f, "#include <osmocom/core/conv.h>"
-	code.gen_tables(pref, f)
 
-if __name__ == '__main__':
-	print >>sys.stderr, "Generating convolutional codes..."
-	prefix = "gsm0503"
-	path = sys.argv[1] if len(sys.argv) > 1 else os.getcwd()
-	gen_c(path, prefix, xCCH)
-	gen_c(path, prefix, CS2)
-	gen_c(path, prefix, CS3)
-	gen_c(path, prefix, TCH_AFS_12_2)
-	gen_c(path, prefix, TCH_AFS_10_2)
-	gen_c(path, prefix, TCH_AFS_7_95)
-	gen_c(path, prefix, TCH_AFS_7_4)
-	gen_c(path, prefix, TCH_AFS_6_7)
-	gen_c(path, prefix, TCH_AFS_5_9)
-	gen_c(path, prefix, TCH_AFS_5_15)
-	gen_c(path, prefix, TCH_AFS_4_75)
-	print >>sys.stderr, "\tdone."
+	# Generate the tables one by one
+	for code in conv_codes:
+		print >>sys.stderr, "Generate '%s' definition" % code.name
+		code.gen_tables(prefix, f)
+
+	print >>sys.stderr, "Generation complete."