grammar : handle maxItems == 0 in JSON schema (#13116)

[rick-github]

Return an empty array if the JSON schema sets maxItems == 0.

Before:

$ ./build/bin/llama-cli -m ./tmp/mnt/models/quantize/gemma-1.1-2b-it.Q8_0.gguf -j "$(python -c $'import json, pydantic\nclass Result(pydantic.BaseModel):  colours:list[str]=pydantic.Field(max_length=0)\nprint(json.dumps(Result.model_json_schema()))')" --no-display-prompt  -p "Here are some colours: " -no-cnv
...

system_info: n_threads = 8 (n_threads_batch = 8) / 24 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | LLAMAFILE = 1 | OPENMP = 1 | AARCH64_REPACK = 1 | 

parse: error parsing grammar: expecting '}' at -1})? "]" space
colours-kv ::= "\"colours\"" space ":" space colours
root ::= "{" space colours-kv "}" space
space ::= | " " | "\n"{1,2} [ \t]{0,20}
string ::= "\"" char* "\"" space


char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
colours ::= "[" space (string ("," space string){0,-1})? "]" space
colours-kv ::= "\"colours\"" space ":" space colours
root ::= "{" space colours-kv "}" space
space ::= | " " | "\n"{1,2} [ \t]{0,20}
string ::= "\"" char* "\"" space

llama_grammar_init_impl: failed to parse grammar
main: failed to initialize sampling subsystem

After:

$ ./build/bin/llama-cli -m ./tmp/mnt/models/quantize/gemma-1.1-2b-it.Q8_0.gguf -j "$(python -c $'import json, pydantic\nclass Result(pydantic.BaseModel):  colours:list[str]=pydantic.Field(max_length=0)\nprint(json.dumps(Result.model_json_schema()))')" --no-display-prompt  -p "Here are some colours: " -no-cnv
...

system_info: n_threads = 8 (n_threads_batch = 8) / 24 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX_VNNI = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | BMI2 = 1 | LLAMAFILE = 1 | OPENMP = 1 | AARCH64_REPACK = 1 | 

sampler seed: 3851950458
sampler params: 
	repeat_last_n = 64, repeat_penalty = 1.000, frequency_penalty = 0.000, presence_penalty = 0.000
	dry_multiplier = 0.000, dry_base = 1.750, dry_allowed_length = 2, dry_penalty_last_n = 4096
	top_k = 40, top_p = 0.950, min_p = 0.050, xtc_probability = 0.000, xtc_threshold = 0.100, typical_p = 1.000, top_n_sigma = -1.000, temp = 0.800
	mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
sampler chain: logits -> logit-bias -> penalties -> dry -> top-k -> typical -> top-p -> min-p -> xtc -> temp-ext -> dist 
generate: n_ctx = 4096, n_batch = 2048, n_predict = -1, n_keep = 1

{"colours": [
  	    	  	  	  	  	]
}
    	   	  	  	  	   [end of text]

llama_perf_sampler_print:    sampling time =       8.25 ms /    41 runs   (    0.20 ms per token,  4971.50 tokens per second)
llama_perf_context_print:        load time =     394.69 ms
llama_perf_context_print: prompt eval time =     112.49 ms /     7 tokens (   16.07 ms per token,    62.23 tokens per second)
llama_perf_context_print:        eval time =    1579.12 ms /    33 runs   (   47.85 ms per token,    20.90 tokens per second)
llama_perf_context_print:       total time =    2158.70 ms /    40 tokens

Fixes: #13116