Chores : tidy up more typos project wide (ggml directory excluded), new -ptcall alias (#2237)

* common: fix coding mistakes (typos in identifiers, flags and log strings)

Fix misspelled identifiers and user-facing strings across common, server
and model loading:

- allow_ruless -> allow_rules (misspelled identifier used in the allowlist
  CLI parsing and the server slot/context code)
- get_formated_timings/get_formated_generation -> get_formatted_*
- 'termionated' -> 'terminated' in the fit-margin assert message
- 'defaulr' -> 'default' in the YAML dump
- 'overriden' -> 'overridden' in tensor buffer type override logs
- 'becausee' -> 'because' in the output-tensor split log
- 'etected NaNs' -> 'detected NaNs' in the imatrix error message

* common: fix comment typos across src, common, include and examples

Fix misspelled words in code comments:

- llama.h: 'typy' -> 'type', 'transfrom' -> 'transform', 'ecoder' ->
  'encoder', 'indicies' -> 'indices', 'Intializes' -> 'Initializes'
- common.h: 'embendings' -> 'embeddings', 'pr' -> 'or' in the
  fused-indexer-topk comment
- chat.cpp: 'overridde' -> 'override'
- ngram-map: 'occurences' -> 'occurrences', 'stastistics' -> 'statistics'
- speculative.cpp: 'dont'/'inehit' -> 'don't'/'inherit'
- llama-mmap.cpp: 'dont't' -> 'don't'
- llama-model.h: 'hcurrently andle' -> 'currently handle'
- build_gemma3/4.cpp: 'emdeddings' -> 'embeddings'
- examples: 'quantizuation', 'logprobe', 'throught', 'retrun', 'swich',
  'convinient', 'temporally' (-> 'temporary'), 'temproal', 'preceed'

* common: remove duplicate definitions and duplicate help entries

- clip-impl.h: drop the second, identical #define TN_FFN_GATE
- common.cpp: remove the duplicate '-t, --threads N' help entry that was
  misplaced in the export-lora section (already listed in the general
  section)
- common.cpp: merge the two 'embedding' help groups into a single group
  so the embedding options are listed together
- llama.cpp: remove the redundant LLAMA_MAX_LAYERS define (llama-hparams.h
  already defines the same value and is included by llama.cpp)

* common: fix remaining typos (accomodate, recommanded, occurences, occassionally)

- accomodate -> accommodate in src/llama.cpp comment
- recommanded -> recommended in quantize.cpp user-facing output
- occurences -> occurrences in test-chat.cpp JSON string
- occassionally -> occasionally in vendor/stb/stb_image_resize2.h comment

Note: tokenizer.ggml.seperator_token_id kept as-is to match GGUF spec

* common: remove duplicate help entries

- remove the duplicate '--reasoning-budget N' help entry that was repeated
  in the main section (introduced in e0596bf614 'Autoparser - complete
  refactoring of parser architecture (PR 1376)')
- remove the second '--parallel-tool-calls' help entry that advertised the
  '-ptc' short flag, which belongs to '--print-token-count' (introduced in
  e0596bf614 'Autoparser - complete refactoring of parser architecture
  (PR 1376)'); the '-ptc' alias was non-functional for '--parallel-tool-calls'
  because the parser only binds it to '--print-token-count'

The canonical help entries are kept:
- '--reasoning-budget N' is listed once
- '--parallel-tool-calls' is listed once (without the conflicting '-ptc' alias)

* common: remove duplicate LOG_ENABLE define

- the '#undef LOG_ENABLE / #define LOG_ENABLE() // dummy stub' pair was
  repeated verbatim inside the LOG_DISABLE_LOGS section
- remove the second occurrence (introduced in a2588b53e1 'main : log
  file (PR 2748)')

* llama-bench: align MLA and attention-max-batch flags with common tools

llama-bench used '--mla-attn' and '--attn-max-batch' while the common
CLI parsing (common/common.cpp) uses '--mla-use' and
'--attention-max-batch' for the same features. This made the flags
inconsistent across tools.

- update the help text to advertise the canonical names
  '--mla-use' and '--attention-max-batch'
- keep the old '--mla-attn' and '--attn-max-batch' spellings working
  as aliases so existing scripts are not broken

The divergent names were introduced in 3e536b95b0 'Add optional MLA
(PR 188)'.

* fix typos in comments and user-facing strings

- ngram-map.cpp: 'Do we haven a existing' -> 'Do we have an existing'
  (introduced in 1cb7e1bf39 'spec : add self speculative decoding,
  ngram and refactor (PR 1261)')
- build_mamba.cpp: 'weigth' -> 'weight' (introduced in 8befd92ea5
  'Refactor model compute graphs (PR 1651)')
- gguf-split.cpp: 'one of splits have 0 tensors' -> 'one of the splits
  has 0 tensors' (introduced in 75b580db0a 'split: allow
  --split-max-size option (PR 6343)')
- gguf-split.cpp: 'merged from %d split' -> 'merged from %d splits'
  (introduced in 1b5523dc79 'gguf-split: split and merge gguf per
  batch of tensors (PR 6135)')
- convert-llama2c-to-ggml.cpp: missing opening quote in the help line,
  '(default %s\\')' -> '(default '%s\\')' (introduced in bb9ebb4394
  'Adding support for llama2.c models (PR 2559)')

* harmonize British and American spelling to American English

The codebase uses American English (e.g. --embd-normalize, --color),
but a few strings/comments still used British spellings. Unify them:

- 'normalisation' -> 'normalization' in common.h, common.cpp help text
  and code comment, and llama-build-context.cpp comment
- 'colorise' -> 'colorize' in the --color help text (common.cpp)
- 'behaviour' -> 'behavior' in a chat.cpp warning and a llama.cpp comment
- also fix 'openai' -> 'OpenAI' capitalization in the embedding help
  text and common.h comment (embedding output format is OpenAI-style)

* common: fix help text formatting inconsistencies

- '-smf16'/'--split-mode-f16' and '-smf32'/'--split-mode-f32' help
  entries displayed hardcoded 'true'/'false' as the default value;
  show the actual state derived from params.reduce_type instead
- '-no-mmad' help entry had 'fused_mmad?' without a space before the
  ternary operator
- '--reasoning-tokens' help continuation lines used tab characters for
  indentation while the sibling '--reasoning-format' entry uses spaces;
  convert to consistent space indentation

* common: revert smf16/smf32 help text default display change

Revert the '-smf16'/'--split-mode-f16' and '-smf32'/'--split-mode-f32'
help entries back to their original hardcoded 'true'/'false' default
display. The change to derive the default from params.reduce_type was
not desired; the split-mode options are legacy and the hardcoded
defaults reflect their intended meaning.

The other formatting fixes in the same area (fused_mmad ternary
spacing and the reasoning-tokens tab-to-space indentation) are kept.

* llama-bench: fix help text column alignment

The --mla-use and --attention-max-batch help lines introduced by the
flag alignment landed one column off from the sibling entries
((default: at column 51 instead of 50). Adjust the padding so all
help lines align.

* common: fix help text defaults for graph-reduce-type and log-format

Mismatch 1: -grt, --graph-reduce-type help shows default "f32", but actual default (common.h:463) is "f16" and llama.cpp uses GGML_TYPE_F16.

Mismatch 2: --log-format help shows default "json", but actual default (common.h:536 log_json=false) is text.

* common: add -ptcall short flag for --parallel-tool-calls

* typo

examples/server/server-context.cpp

@@ -367,7 +367,7 @@ void server_context::init() {
         slots.push_back(std::move(slot));
     }
 
-    default_generation_settings_for_props = get_formated_generation(slots.front());
+    default_generation_settings_for_props = get_formatted_generation(slots.front());
     default_generation_settings_for_props["seed"] = -1;
 
     // the update_slots() logic will always submit a maximum of n_batch or n_parallel tokens
@@ -511,7 +511,7 @@ void server_slot::reset() {
     ban_regex.clear();
     ban_regex_ci.clear();
 
-    allow_ruless.clear();
+    allow_rules.clear();
     allow_pieces.clear();
     allow_kws.clear();
     allow_kw_delay = 0;
@@ -625,7 +625,7 @@ void server_slot::release() {
 }
 
 
-json server_slot::get_formated_timings() const {
+json server_slot::get_formatted_timings() const {
     json timings = json{
         {"prompt_n",               n_prompt_tokens_processed},
         {"prompt_ms",              t_prompt_processing},
@@ -1686,8 +1686,8 @@ bool server_context::launch_slot_with_task(server_slot& slot, server_task& task)
     do  // populate allowlist biases
     {
         // TODO: JSON parsing for rules and keywords
-        slot.allow_ruless = params_base.allow_ruless;
-        if (slot.allow_ruless.size() == 0) {
+        slot.allow_rules = params_base.allow_rules;
+        if (slot.allow_rules.size() == 0) {
             slot.allow_biasess.clear();
             break;
         }
@@ -1716,11 +1716,11 @@ bool server_context::launch_slot_with_task(server_slot& slot, server_task& task)
             }
         }
 
-        auto n_rules = slot.allow_ruless.size();
+        auto n_rules = slot.allow_rules.size();
         if (n_rules > slot.allow_kws.size() + 1) {
             // one more rules than keyword, last rules do not expire
             n_rules = slot.allow_kws.size() + 1;
-            slot.allow_ruless.resize(n_rules);
+            slot.allow_rules.resize(n_rules);
         } else if (n_rules < slot.allow_kws.size()) {
             // every rules expire
             slot.allow_kws.resize(n_rules);
@@ -1728,8 +1728,8 @@ bool server_context::launch_slot_with_task(server_slot& slot, server_task& task)
         slot.allow_biasess.resize(n_rules);
 
         for (size_t i = 0; i < n_rules; ++i) {
-            const auto& rules = slot.allow_ruless[i];
-            if ((i < slot.allow_ruless_prev.size()) && (rules == slot.allow_ruless_prev[i])) {
+            const auto& rules = slot.allow_rules[i];
+            if ((i < slot.allow_rules_prev.size()) && (rules == slot.allow_rules_prev[i])) {
                 continue;
             }
             LLAMA_LOG_DEBUG("%s: allowlist %zu is new\n", __func__, i);
@@ -1780,7 +1780,7 @@ bool server_context::launch_slot_with_task(server_slot& slot, server_task& task)
             }
         }
     } while (false);
-    slot.allow_ruless_prev = slot.allow_ruless;
+    slot.allow_rules_prev = slot.allow_rules;
 
     if (llama_model_has_recurrent(llama_get_model(slot.ctx)) || llama_model_is_deepseek4(llama_get_model(slot.ctx))) {
         params_base.can_ban_phrases = false;
@@ -2293,7 +2293,7 @@ void server_context::populate_token_probs(const server_slot& slot, completion_to
     }
 }
 
-json server_context::get_formated_generation(const server_slot& slot) const {
+json server_context::get_formatted_generation(const server_slot& slot) const {
     const auto eos_bias = slot.sparams.logit_bias.find(llama_token_eos(model));
     const bool ignore_eos = eos_bias != slot.sparams.logit_bias.end() && eos_bias->second < 0.0f && std::isinf(eos_bias->second);
 
@@ -2505,7 +2505,7 @@ void server_context::send_final_response(server_slot& slot) {
         {"model",               params_base.model_alias},
         {"tokens_predicted",    slot.n_decoded},
         {"tokens_evaluated",    slot.n_prompt_tokens},
-        {"generation_settings", get_formated_generation(slot)},
+        {"generation_settings", get_formatted_generation(slot)},
         {"prompt",              slot.prompt},
         {"truncated",           slot.truncated},
         {"stopped_eos",         slot.stopped_eos},
@@ -2513,7 +2513,7 @@ void server_context::send_final_response(server_slot& slot) {
         {"stopped_limit",       slot.stopped_limit},
         {"stopping_word",       slot.stopping_word},
         {"tokens_cached",       slot.n_past},
-        {"timings",             slot.get_formated_timings()},
+        {"timings",             slot.get_formatted_timings()},
         //{"oaicompat_chat_format",  slot.params.oaicompat_chat_format},
     };
 
@@ -2851,7 +2851,7 @@ void server_context::process_single_task(server_task&& task) {
         int n_processing_slots = 0;
 
         for (server_slot& slot : slots) {
-            json slot_data = get_formated_generation(slot);
+            json slot_data = get_formatted_generation(slot);
             slot_data["id"] = slot.id;
             slot_data["id_task"] = slot.id_task;
             slot_data["state"] = slot.state;