Project: SPI_MSTransfer

defragster · Mar 17, 2018

Indeed - can't run code from the forum

I was just spending a minute to follow through making sure I had some grasp.

My T_3.1 Slave is still running another day later from the T_3.6 Master! It seems it was about 4 days since the last restart and it is showing (4) OverTimes - and some (3) were at the start.

I thought Beta4 of TD 1.42 was coming sooner - (re)found the note it may be next week. I've been pre-occupied and was assuming I'd restart testing when I saw Beta 4

tonton81 · Mar 17, 2018

Tim, mike, heres an example of the circular_buffer with addition of a multidimensional array:

Code:

uint16_t buffer_arrays[16][250];
Circular_Buffer<uint16_t, 16> cb_ba;

void loop() {

  static uint32_t timer0 = millis();
  if ( millis() - timer0 > 2500 ) {
    timer0 = millis();
    if ( cb_ba.size() > 0 ) {
      uint16_t val = cb_ba.read();
      for ( uint16_t i = 0; i < 20; i++ ) {
        Serial.print(buffer_arrays[val][i]);
        Serial.print(" ");
      } Serial.println();
    }
  }

  static uint32_t timer = millis();
  if ( millis() - timer > 2000 ) {
    timer = millis();
   Serial.print("Size: "); Serial.println(cb_ba.size());
   for ( uint16_t i = 0; i < 20; i++ ) buffer_arrays[cb_ba.size()][i] = i;
    cb_ba.write(cb_ba.size());
  }

}

Output:

Code:

Size: 0
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 0
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 0
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 0
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 0
Size: 1
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 1
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 1
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 1
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 1
Size: 2
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 2
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 2
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 2
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 2
Size: 3
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 3
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 3
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 3
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 3
Size: 4
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 4
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 4
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 4
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 4
Size: 5
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 5
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 5
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 5
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 5
Size: 6
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 6
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 6
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 6
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 6
Size: 7
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 7
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 7
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 7
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 7
Size: 8
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 8
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 8
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 8
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 8
Size: 9
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 9
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 9
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 9
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 9
Size: 10
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 10
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 10
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 10
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 10
Size: 11
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 11
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 11
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 11
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 
Size: 11

In other words, we're using a 16 entry FIFO for the index positions of the multi-dimensional array!

crazy eh!?!?

this gives us direct array access!

since the fifo entries are max 16, you could even do a uint8_t Type for the queue

Code:

Circular_Buffer<uint8_t, 16> cb_ba;

of course this is just a demo! but really you should use an incremental counter that goes from 0 -> 15 and wraps around so it circulates the entire multidimensional array, and push the increment counter into the circular buffer, so the callback knows where to pull valid data from. The multi-dimensional array doesnt even need to be cleared! it'll be overwritten later on and it's index will be queued for retrieval!!

the demo using 32 static buffers with an incremental pattern gives this in IDE

Sketch uses 122588 bytes (23%) of program storage space. Maximum is 524288 bytes.
Global variables use 31720 bytes (16%) of dynamic memory, leaving 164888 bytes for local variables. Maximum is 196608 bytes.

Code:

uint16_t buffer_arrays[32][250];
Circular_Buffer<uint16_t, 16> cb_ba;

thats 32 static buffers with 8000dword storage

also to add to note, this gives 100% memmove transfers in all usage cases!

tonton81 · Mar 17, 2018

Tim, is this what you wanted?

Code snippet:

Code:

  Circular_Buffer<uint8_t, 32> print_test;
  print_test.print("Hello World");
  print_test.print("  ");
  print_test.println("Teensy here!");
  while ( print_test.size() > 0 ) {
    Serial.print((char)print_test.read());
  } Serial.println("OK");

Output:

Code:

----------------------
Hello World  Teensy here!
OK

I'm guessing you could use this as a debugging buffer? lol

ive tested it working with:

Circular_Buffer<uint8_t, 32> print_test;
Circular_Buffer<uint16_t, 32> print_test;
Circular_Buffer<uint32_t, 32> print_test;

all same results

i updated the github circular buffer that includes print/println functionality

defragster · Mar 17, 2018

Yes, that seems to be what I was thinking.

tonton81 · Mar 17, 2018

Ok guys, I think I went overkill, but here's a UNIQUE feature! The library has a 3rd optional template parameter, can you guess what it does (in its current stages at least while i work on finishing off its implementation!)

We have our normal template:

Code:

Circular_Buffer<uint16_t, 16> ca;

and the optional template:

Code:

Circular_Buffer<uint16_t, 16, 250> ca;

can you guess what this does? Here, I'll explain.

This new FIFO implementation does the following:
It sets up a multidimensional array, otherwise known as _cabuf[16][250], which uses the build in queue system of, you guessed it, 16 entries you specified, and sets up an incrementer that utilizes all slots in series of the multidimensional array, the incrementer is stored in the queue system and the given array is sent back to the user

The current implementation I've worked on it the following:

ca.write(buf,size), writes an entire buffer, up to 250 entries, the queue system stores the location it stored it to.
ca.front() <-- yeah i took this method name also from c++ STL containers, just for naming convention, all your values can be parsed from there just like c++ way
ex. ca.front()[3] gets the 4th entry
Next, finally issuing a read() or pop_front() dequeus the front() pointer from queue, and your ready to read another front() of the queue!

Now, enough chattering, heres another example of my CRAZINESS!

Code:

    for ( uint16_t i = 0; i < 18; i++ ) {
      static uint16_t val = 0;
      uint16_t Buf[20];
      for ( uint16_t i = 0; i < 20; i++ ) Buf[i] = i + val;
      ca.write(Buf, 20);
      val += 20;
    }

    while ( ca.size() > 0 ) {
      for ( uint16_t i = 0; i < 20; i++ ) {
        Serial.print(ca.front()[i]); Serial.print(" ");
      } Serial.println();
      ca.pop_front();
    }

Output:

Code:

40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 
60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 
80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 
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 
220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 
240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 
260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 
280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 
300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 
320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 
340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359

So, yeah!
We got FIFO, LIFO, and now, CIRCULAR ARRAYS

You can also see how the wrap around works! I pushed 18 entries into a 16 multidimensional array, all data is latest updates!
The array version uses memmove for all read/writing!

tonton81 · Mar 17, 2018

Just implemented (complimented) back() method to read from the back of the array queue, just like STL, front() to read first queue, back() to read last queue, dont forget to pop_front or pop_back when done to deque them !

so we got FIFO ARRAY QUEUE and LIFO ARRAY QUEUE, even MIXED FIFO+LIFO ARRAY QUEUE SUPPORT!

The library handles everything in the background so it's less code for user to handle!

an example of it in action:

Code:

    for ( uint16_t i = 0; i < 18; i++ ) {
      static uint16_t val = 0;
      uint16_t Buf[20];
      for ( uint16_t i = 0; i < 20; i++ ) Buf[i] = i + val;
      ca.push_back(Buf, 20);
      val += 20;
    }

    while ( ca.size() > 0 ) {
      for ( uint16_t i = 0; i < 20; i++ ) {
        Serial.print(ca.back()[i]); Serial.print(" ");
      } Serial.println();
      ca.pop_back();
    }

output:

Code:

340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 
320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 
300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 
280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 
260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 
240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 
220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 
200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 
180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 
160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 
140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 
120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 
100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 
80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 
60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 
40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59

queued from front to back
read from back to front

tonton81 · Mar 17, 2018

Just added push_front method! YES! You can inject your arrays to the back() or the front(), and read them from either front() or back() as well!

So the array implementation seems to be good so far!

read/write to front or back, just like how the STL containers worked! But better?

Test code for pushing to the front all elements, and reading them starting from the front line:

Code:

    for ( uint16_t i = 0; i < 18; i++ ) {
      static uint16_t val = 0;
      uint16_t Buf[20];
      for ( uint16_t i = 0; i < 20; i++ ) Buf[i] = i + val;
     [COLOR="#FF0000"] ca.push_front(Buf, 20);[/COLOR]
      val += 20;
    }

    while ( ca.size() > 0 ) {
      for ( uint16_t i = 0; i < 20; i++ ) {
        Serial.print([COLOR="#FF0000"]ca.front()[i][/COLOR]); Serial.print(" ");
      } Serial.println();
     [COLOR="#FF0000"] ca.pop_front();[/COLOR]
    }

Output:

Code:

340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 
320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 
300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 
280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 
260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 
240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 
220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 
200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 
180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 
160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 
140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 
120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 
100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 
80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 
60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 
40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59

STL == Simple teensy learner.

defragster · Mar 17, 2018

Cool.

Go make an update to the SPI_MST and see if it solves any problems ...

tonton81 · Mar 17, 2018

that might wait for today, weekend calls for longer naps (9PM here lol), i spent the whole day yesturday and today working on this

tonton81 · Mar 17, 2018

just updated the circular buffer example with new array queue demonstration writing 35 20 byte buffers to a queue of 32 arrays, which demonstrates overwriting oldest with newest without the data corruption that overlapping circular buffering can introduce
the good news is, we dont need to do the parsing since the arrays are handed to us on a silver memmove platter

the circular buffer is up now on my repo, enjoy it !

tonton81 · Mar 18, 2018

guys, you'll be glad to know the circular ARRAY version of my multi-dimensional circular buffer is working on SPI_MSTransfer demo
I started off by disabling all vector queues in the slave system and monitoring this in the F&F loop currently
Heres a demo code in the F&F function, VERY CLEAN!

Code:

      _slave_pointer->SPI_MSTransfer::mtsca.push_back(data,len);

      if ( _slave_pointer->SPI_MSTransfer::mtsca.size() > 0 ) {
        for ( uint16_t i = 0; i < _slave_pointer->SPI_MSTransfer::mtsca.front()[1]; i++ ) {
          Serial.print(_slave_pointer->SPI_MSTransfer::mtsca.front()[i],HEX); Serial.print(" ");
        } Serial.println();
      }
      _slave_pointer->SPI_MSTransfer::mtsca.pop_front();

and the slave output from ISR debugging... :

Code:

9244 36 0 30 37 0 0 8000 40CF 0 0 8080 40CF 0 0 8100 40CF 0 0 8180 40CF 0 0 8200 40CF 0 0 8280 40CF 0 0 8300 40CF 0 0 8380 40CF 0 0 8400 40CF 0 0 8480 40CF 0 0 8500 40CF 0 0 8580 40CF 9275 
9244 36 0 30 37 0 0 8600 40CF 0 0 8680 40CF 0 0 8700 40CF 0 0 8780 40CF 0 0 8800 40CF 0 0 8880 40CF 0 0 8900 40CF 0 0 8980 40CF 0 0 8A00 40CF 0 0 8A80 40CF 0 0 8B00 40CF 0 0 8B80 40CF 9275 
9244 36 0 30 37 0 0 8C00 40CF 0 0 8C80 40CF 0 0 8D00 40CF 0 0 8D80 40CF 0 0 8E00 40CF 0 0 8E80 40CF 0 0 8F00 40CF 0 0 8F80 40CF 0 0 9000 40CF 0 0 9080 40CF 0 0 9100 40CF 0 0 9180 40CF 9275 
9244 36 0 30 37 0 0 9200 40CF 0 0 9280 40CF 0 0 9300 40CF 0 0 9380 40CF 0 0 9400 40CF 0 0 9480 40CF 0 0 9500 40CF 0 0 9580 40CF 0 0 9600 40CF 0 0 9680 40CF 0 0 9700 40CF 0 0 9780 40CF 9275 
9244 36 0 30 37 0 0 9800 40CF 0 0 9880 40CF 0 0 9900 40CF 0 0 9980 40CF 0 0 9A00 40CF 0 0 9A80 40CF 0 0 9B00 40CF 0 0 9B80 40CF 0 0 9C00 40CF 0 0 9C80 40CF 0 0 9D00 40CF 0 0 9D80 40CF 9275 
9244 36 0 30 37 0 0 9E00 40CF 0 0 9E80 40CF 0 0 9F00 40CF 0 0 9F80 40CF 0 0 A000 40CF 0 0 A080 40CF 0 0 A100 40CF 0 0 A180 40CF 0 0 A200 40CF 0 0 A280 40CF 0 0 A300 40CF 0 0 A380 40CF 9275 
9244 36 0 30 37 0 0 A400 40CF 0 0 A480 40CF 0 0 A500 40CF 0 0 A580 40CF 0 0 A600 40CF 0 0 A680 40CF 0 0 A700 40CF 0 0 A780 40CF 0 0 A800 40CF 0 0 A880 40CF 0 0 A900 40CF 0 0 A980 40CF 9275 
9244 36 0 30 37 0 0 AA00 40CF 0 0 AA80 40CF 0 0 AB00 40CF 0 0 AB80 40CF 0 0 AC00 40CF 0 0 AC80 40CF 0 0 AD00 40CF 0 0 AD80 40CF 0 0 AE00 40CF 0 0 AE80 40CF 0 0 AF00 40CF 0 0 AF80 40CF 9275 
9244 36 0 30 37 0 0 B000 40CF 0 0 B080 40CF 0 0 B100 40CF 0 0 B180 40CF 0 0 B200 40CF 0 0 B280 40CF 0 0 B300 40CF 0 0 B380 40CF 0 0 B400 40CF 0 0 B480 40CF 0 0 B500 40CF 0 0 B580 40CF 9275 
9244 36 0 30 37 0 0 B600 40CF 0 0 B680 40CF 0 0 B700 40CF 0 0 B780 40CF 0 0 B800 40CF 0 0 B880 40CF 0 0 B900 40CF 0 0 B980 40CF 0 0 BA00 40CF 0 0 BA80 40CF 0 0 BB00 40CF 0 0 BB80 40CF 9275 
9244 36 0 30 37 0 0 BC00 40CF 0 0 BC80 40CF 0 0 BD00 40CF 0 0 BD80 40CF 0 0 BE00 40CF 0 0 BE80 40CF 0 0 BF00 40CF 0 0 BF80 40CF 0 0 C000 40CF 0 0 C080 40CF 0 0 C100 40CF 0 0 C180 40CF 9275 
9244 36 0 30 37 0 0 C200 40CF 0 0 C280 40CF 0 0 C300 40CF 0 0 C380 40CF 0 0 C400 40CF 0 0 C480 40CF 0 0 C500 40CF 0 0 C580 40CF 0 0 C600 40CF 0 0 C680 40CF 0 0 C700 40CF 0 0 C780 40CF 9275 
9244 36 0 30 37 0 0 C800 40CF 0 0 C880 40CF 0 0 C900 40CF 0 0 C980 40CF 0 0 CA00 40CF 0 0 CA80 40CF 0 0 CB00 40CF 0 0 CB80 40CF 0 0 CC00 40CF 0 0 CC80 40CF 0 0 CD00 40CF 0 0 CD80 40CF 9275 
9244 36 0 30 37 0 0 CE00 40CF 0 0 CE80 40CF 0 0 CF00 40CF 0 0 CF80 40CF 0 0 D000 40CF 0 0 D080 40CF 0 0 D100 40CF 0 0 D180 40CF 0 0 D200 40CF 0 0 D280 40CF 0 0 D300 40CF 0 0 D380 40CF 9275 
9244 36 0 30 37 0 0 D400 40CF 0 0 D480 40CF 0 0 D500 40CF 0 0 D580 40CF 0 0 D600 40CF 0 0 D680 40CF 0 0 D700 40CF 0 0 D780 40CF 0 0 D800 40CF 0 0 D880 40CF 0 0 D900 40CF 0 0 D980 40CF 9275 
9244 36 0 30 37 0 0 DA00 40CF 0 0 DA80 40CF 0 0 DB00 40CF 0 0 DB80 40CF 0 0 DC00 40CF 0 0 DC80 40CF 0 0 DD00 40CF 0 0 DD80 40CF 0 0 DE00 40CF 0 0 DE80 40CF 0 0 DF00 40CF 0 0 DF80 40CF 9275 
9244 36 0 30 37 0 0 E000 40CF 0 0 E080 40CF 0 0 E100 40CF 0 0 E180 40CF 0 0 E200 40CF 0 0 E280 40CF 0 0 E300 40CF 0 0 E380 40CF 0 0 E400 40CF 0 0 E480 40CF 0 0 E500 40CF 0 0 E580 40CF 9275 
9244 36 0 30 37 0 0 E600 40CF 0 0 E680 40CF 0 0 E700 40CF 0 0 E780 40CF 0 0 E800 40CF 0 0 E880 40CF 0 0 E900 40CF 0 0 E980 40CF 0 0 EA00 40CF 0 0 EA80 40CF 0 0 EB00 40CF 0 0 EB80 40CF 9275 
9244 36 0 30 37 0 0 EC00 40CF 0 0 EC80 40CF 0 0 ED00 40CF 0 0 ED80 40CF 0 0 EE00 40CF 0 0 EE80 40CF 0 0 EF00 40CF 0 0 EF80 40CF 0 0 F000 40CF 0 0 F080 40CF 0 0 F100 40CF 0 0 F180 40CF 9275 
9244 36 0 30 37 0 0 F200 40CF 0 0 F280 40CF 0 0 F300 40CF 0 0 F380 40CF 0 0 F400 40CF 0 0 F480 40CF 0 0 F500 40CF 0 0 F580 40CF 0 0 F600 40CF 0 0 F680 40CF 0 0 F700 40CF 0 0 F780 40CF 9275 
9244 36 0 30 37 0 0 F800 40CF 0 0 F880 40CF 0 0 F900 40CF 0 0 F980 40CF 0 0 FA00 40CF 0 0 FA80 40CF 0 0 FB00 40CF 0 0 FB80 40CF 0 0 FC00 40CF 0 0 FC80 40CF 0 0 FD00 40CF 0 0 FD80 40CF 9275 
9244 36 0 30 37 0 0 FE00 40CF 0 0 FE80 40CF 0 0 FF00 40CF 0 0 FF80 40CF 0 0 0 40D0 0 0 40 40D0 0 0 80 40D0 0 0 C0 40D0 0 0 100 40D0 0 0 140 40D0 0 0 180 40D0 0 0 1C0 40D0 9275 
9244 36 0 30 37 0 0 200 40D0 0 0 240 40D0 0 0 280 40D0 0 0 2C0 40D0 0 0 300 40D0 0 0 340 40D0 0 0 380 40D0 0 0 3C0 40D0 0 0 400 40D0 0 0 440 40D0 0 0 480 40D0 0 0 4C0 40D0 9275 
9244 36 0 30 37 0 0 500 40D0 0 0 540 40D0 0 0 580 40D0 0 0 5C0 40D0 0 0 600 40D0 0 0 640 40D0 0 0 680 40D0 0 0 6C0 40D0 0 0 700 40D0 0 0 740 40D0 0 0 780 40D0 0 0 7C0 40D0 9275 
9244 36 0 30 37 0 0 800 40D0 0 0 840 40D0 0 0 880 40D0 0 0 8C0 40D0 0 0 900 40D0 0 0 940 40D0 0 0 980 40D0 0 0 9C0 40D0 0 0 A00 40D0 0 0 A40 40D0 0 0 A80 40D0 0 0 AC0 40D0 9275 
9244 36 0 30 37 0 0 B00 40D0 0 0 B40 40D0 0 0 B80 40D0 0 0 BC0 40D0 0 0 C00 40D0 0 0 C40 40D0 0 0 C80 40D0 0 0 CC0 40D0 0 0 D00 40D0 0 0 D40 40D0 0 0 D80 40D0 0 0 DC0 40D0 9275 
9244 36 0 30 37 0 0 E00 40D0 0 0 E40 40D0 0 0 E80 40D0 0 0 EC0 40D0 0 0 F00 40D0 0 0 F40 40D0 0 0 F80 40D0 0 0 FC0 40D0 0 0 1000 40D0 0 0 1040 40D0 0 0 1080 40D0 0 0 10C0 40D0 9275 
9244 36 0 30 37 0 0 1100 40D0 0 0 1140 40D0 0 0 1180 40D0 0 0 11C0 40D0 0 0 1200 40D0 0 0 1240 40D0 0 0 1280 40D0 0 0 12C0 40D0 0 0 1300 40D0 0 0 1340 40D0 0 0 1380 40D0 0 0 13C0 40D0 9275 
9244 36 0 30 37 0 0 1400 40D0 0 0 1440 40D0 0 0 1480 40D0 0 0 14C0 40D0 0 0 1500 40D0 0 0 1540 40D0 0 0 1580 40D0 0 0 15C0 40D0 0 0 1600 40D0 0 0 1640 40D0 0 0 1680 40D0 0 0 16C0 40D0 9275 
9244 36 0 30 37 0 0 1700 40D0 0 0 1740 40D0 0 0 1780 40D0 0 0 17C0 40D0 0 0 1800 40D0 0 0 1840 40D0 0 0 1880 40D0 0 0 18C0 40D0 0 0 1900 40D0 0 0 1940 40D0 0 0 1980 40D0 0 0 19C0 40D0 9275 
9244 36 0 30 37 0 0 1A00 40D0 0 0 1A40 40D0 0 0 1A80 40D0 0 0 1AC0 40D0 0 0 1B00 40D0 0 0 1B40 40D0 0 0 1B80 40D0 0 0 1BC0 40D0 0 0 1C00 40D0 0 0 1C40 40D0 0 0 1C80 40D0 0 0 1CC0 40D0 9275 
9244 36 0 30 37 0 0 1D00 40D0 0 0 1D40 40D0 0 0 1D80 40D0 0 0 1DC0 40D0 0 0 1E00 40D0 0 0 1E40 40D0 0 0 1E80 40D0 0 0 1EC0 40D0 0 0 1F00 40D0 0 0 1F40 40D0 0 0 1F80 40D0 0 0 1FC0 40D0 9275 
9244 36 0 30 37 0 0 2000 40D0 0 0 2040 40D0 0 0 2080 40D0 0 0 20C0 40D0 0 0 2100 40D0 0 0 2140 40D0 0 0 2180 40D0 0 0 21C0 40D0 0 0 2200 40D0 0 0 2240 40D0 0 0 2280 40D0 0 0 22C0 40D0 9275 
9244 36 0 30 37 0 0 2300 40D0 0 0 2340 40D0 0 0 2380 40D0 0 0 23C0 40D0 0 0 2400 40D0 0 0 2440 40D0 0 0 2480 40D0 0 0 24C0 40D0 0 0 2500 40D0 0 0 2540 40D0 0 0 2580 40D0 0 0 25C0 40D0 9275 
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tonton81 · Mar 18, 2018

the front() array is called for parsing later on in callback (will do memmove instead)
the pop_front() clears the array pointer

the circular queue uses 64 entries of 250 dwords, in circular fashion, so chances of overriding are slim unless you transfer faster than you can process.
Second bonus is circular fasion doesnt cause overide in a circular array version, the entire array is intact so the bank is guarenteed to have a valid complete array
if you check how smart the code is:
front()[1] checks the length of the actual array within the buffer, and prints that size, according to mike's code, 48 dwords (0x30 in HEX)

literally, to show how automated this is, rather than creating a vector and adding it to std::deque, we have a simple one liner:

Code:

      _slave_pointer->SPI_MSTransfer::mtsca.push_back(data,len);

thats all thats needed to queue the array, it's immediately memmoved into the bank and the bank pointer is put into the 64 entry queue to be pulled out later on...

lucky i had 2 days of work put into that circular queue & circular array beefed up library to be able to make everything SO much easier to work with!

the best is also that the circular array template wraps around to first bank
0->63 then starts at 0 again, your entire array is dropped into the next incremental bank
there is no overruns, all of the buffers keep latest 63 entries this way, so if you dont process them fast enough, it wont overflow and crash

mjs513 · Mar 18, 2018

Genius at work = know I can't wait to give it a try, I am sure Tim can't wait either.

Still can't believe you did all this in a couple of days.... maybe you should pull more double shifts

Just joking

tonton81 · Mar 18, 2018

3 days of lack of coding made me invent crazy stuff, MASTER -> SLAVE has been converted, all traces of vectors, dequeues, and includes are wiped out of existance.
I'm working on the slave sender side now

mjs513 · Mar 18, 2018

You need to take a vacation after this

tonton81 · Mar 18, 2018

never! this thread has almost 10k views in a month, im pretty sure lots of people are using these features

mjs513 · Mar 18, 2018

Shoot - never notice how many views. If not using just waiting for final results

tonton81 · Mar 18, 2018

i have both sides hammering each other at 20ms rates without errors so far!

tonton81 · Mar 18, 2018

i have it running from 8 -> 30mhz without errors, spi seems glitchy any lower, ready to test on your end?

tonton81 · Mar 18, 2018

https://github.com/tonton81/SPI_MSTransfer

its still running without errors!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

I think the circular array was the best idea ive come up with to compliment the circular queue!
For the most part, maybe people wont even use the circular queue version unless they are wanting to do averaging, saving and reusing arrays has TOO MUCH potential and EASE OF USE with data integrity guarentee!

tonton81 · Mar 18, 2018

theres only 2 queue systems for the spi transfers running at 20ms both sides:

Circular_Buffer<uint16_t, 64, 250> SPI_MSTransfer::mtsca; // master to slave transfers
Circular_Buffer<uint16_t, 64, 250> SPI_MSTransfer::stmca; // slave to master transfers

all 64 array entries are recycled in incremental state so its very efficient for data retrieval at different times!

the library is only using 4 methods

push_back(buf,len)
front()
pop_front()
and size()

the STL naming convention really shows similarities

mjs513 · Mar 18, 2018

I think the circular array was the best idea ive come up with to compliment the circular queue!

YES it was.

TOO MUCH potential and EASE OF USE with data integrity guarentee!

Think you just came up with a new standard for circular buffers.

tonton81 · Mar 18, 2018

Maybe one day it'll be worthy of teensyduino library inclusion

I should copy it into it's own repo, but should keep it as part of SPI_MSTransfer as well. As this isn't specific to the library, it can be used in any teensy sketch/libraries, so it might be very popular

mjs513 · Mar 18, 2018

I should copy it into it's own repo, but should keep it as part of SPI_MSTransfer as well.

I agree 100%. When I get back to it I will see about setting up a folder with the examples from the thread.

tonton81 · Mar 18, 2018

I added another repo on github and posted it as a separate release even though its included in SPI_MSTransfer
Although our idea was for SPI_MST, that addition has it's independancy for all purposes
New thread was created for circular_buffer, I hope it gets well deserved use

btw i still got 0 errors at 2-way 20ms hits with led blinking still on MST

Project: SPI_MSTransfer

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