Merge branch 'master' into concedo_experimental

# Conflicts:
#	CMakeLists.txt
#	Makefile
#	ggml-cuda.cu
#	llama-util.h
#	tests/CMakeLists.txt
This commit is contained in:
Concedo 2023-08-16 10:43:06 +08:00
commit 075d079a72
17 changed files with 4441 additions and 3013 deletions

1
.gitignore vendored
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@ -71,6 +71,7 @@ poetry.lock
poetry.toml poetry.toml
# Test binaries # Test binaries
tests/test-grammar-parser
tests/test-double-float tests/test-double-float
tests/test-grad0 tests/test-grad0
tests/test-opt tests/test-opt

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@ -16,6 +16,7 @@ Command line options:
- `--memory-f32`: Use 32-bit floats instead of 16-bit floats for memory key+value. Not recommended. - `--memory-f32`: Use 32-bit floats instead of 16-bit floats for memory key+value. Not recommended.
- `--mlock`: Lock the model in memory, preventing it from being swapped out when memory-mapped. - `--mlock`: Lock the model in memory, preventing it from being swapped out when memory-mapped.
- `--no-mmap`: Do not memory-map the model. By default, models are mapped into memory, which allows the system to load only the necessary parts of the model as needed. - `--no-mmap`: Do not memory-map the model. By default, models are mapped into memory, which allows the system to load only the necessary parts of the model as needed.
- `--numa`: Attempt optimizations that help on some NUMA systems.
- `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model (implies --no-mmap). This allows you to adapt the pretrained model to specific tasks or domains. - `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model (implies --no-mmap). This allows you to adapt the pretrained model to specific tasks or domains.
- `--lora-base FNAME`: Optional model to use as a base for the layers modified by the LoRA adapter. This flag is used in conjunction with the `--lora` flag, and specifies the base model for the adaptation. - `--lora-base FNAME`: Optional model to use as a base for the layers modified by the LoRA adapter. This flag is used in conjunction with the `--lora` flag, and specifies the base model for the adaptation.
- `-to N`, `--timeout N`: Server read/write timeout in seconds. Default `600`. - `-to N`, `--timeout N`: Server read/write timeout in seconds. Default `600`.

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@ -1,5 +1,34 @@
import * as readline from 'node:readline' import * as readline from 'node:readline'
import { stdin, stdout } from 'node:process' import { stdin, stdout } from 'node:process'
import { readFileSync } from 'node:fs'
import { SchemaConverter } from './public/json-schema-to-grammar.mjs'
const args = process.argv.slice(2);
const grammarJsonSchemaFile = args.find(
(_, index) => args[index - 1] === "--grammar-json-schema"
);
const grammarFile = args.find((_, index) => args[index - 1] === "--grammar");
// Example usage: function,arguments
const grammarJsonSchemaPropOrder = args.find(
(_, index) => args[index - 1] === "--grammar-json-schema-prop-order"
);
const propOrder = grammarJsonSchemaPropOrder
? grammarJsonSchemaPropOrder
.split(",")
.reduce((acc, cur, index) => ({ ...acc, [cur]: index }), {})
: {};
let grammar = null
if (grammarJsonSchemaFile) {
const schema = JSON.parse(readFileSync(grammarJsonSchemaFile, 'utf-8'))
const converter = new SchemaConverter(propOrder)
converter.visit(schema, '')
grammar = converter.formatGrammar()
}
if (grammarFile) {
grammar = readFileSync(grammarFile, 'utf-8')
}
const API_URL = 'http://127.0.0.1:8080' const API_URL = 'http://127.0.0.1:8080'
@ -48,6 +77,7 @@ async function chat_completion(question) {
n_keep: n_keep, n_keep: n_keep,
n_predict: 256, n_predict: 256,
stop: ["\n### Human:"], // stop completion after generating this stop: ["\n### Human:"], // stop completion after generating this
grammar,
stream: true, stream: true,
}) })
}) })

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@ -0,0 +1,311 @@
unsigned char json_schema_to_grammar_mjs[] = {
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};
unsigned int json_schema_to_grammar_mjs_len = 3695;

View file

@ -141,6 +141,7 @@
} from '/index.js'; } from '/index.js';
import { llama } from '/completion.js'; import { llama } from '/completion.js';
import { SchemaConverter } from '/json-schema-to-grammar.mjs';
const session = signal({ const session = signal({
prompt: "This is a conversation between user and llama, a friendly chatbot. respond in simple markdown.", prompt: "This is a conversation between user and llama, a friendly chatbot. respond in simple markdown.",
@ -166,6 +167,7 @@
mirostat: 0, // 0/1/2 mirostat: 0, // 0/1/2
mirostat_tau: 5, // target entropy mirostat_tau: 5, // target entropy
mirostat_eta: 0.1, // learning rate mirostat_eta: 0.1, // learning rate
grammar: '',
}) })
const llamaStats = signal(null) const llamaStats = signal(null)
@ -304,6 +306,26 @@
const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) } const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) } const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
const grammarJsonSchemaPropOrder = signal('')
const updateGrammarJsonSchemaPropOrder = (el) => grammarJsonSchemaPropOrder.value = el.target.value
const convertJSONSchemaGrammar = () => {
try {
const schema = JSON.parse(params.value.grammar)
const converter = new SchemaConverter(
grammarJsonSchemaPropOrder.value
.split(',')
.reduce((acc, cur, i) => ({...acc, [cur.trim()]: i}), {})
)
converter.visit(schema, '')
params.value = {
...params.value,
grammar: converter.formatGrammar(),
}
} catch (e) {
alert(`Convert failed: ${e.message}`)
}
}
const FloatField = ({label, max, min, name, step, value}) => { const FloatField = ({label, max, min, name, step, value}) => {
return html` return html`
<div> <div>
@ -355,6 +377,13 @@
<label for="template">Chat history template</label> <label for="template">Chat history template</label>
<textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/> <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
</div> </div>
<div>
<label for="template">Grammar</label>
<textarea id="grammar" name="grammar" placeholder="Use gbnf or JSON Schema+convert" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
<input type="text" name="prop-order" placeholder="order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
<button type="button" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
</div>
</fieldset> </fieldset>
<fieldset class="two"> <fieldset class="two">

File diff suppressed because one or more lines are too long

View file

@ -0,0 +1,112 @@
const SPACE_RULE = '" "?';
const PRIMITIVE_RULES = {
boolean: '("true" | "false") space',
number: '("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? space',
integer: '("-"? ([0-9] | [1-9] [0-9]*)) space',
string: ` "\\"" (
[^"\\\\] |
"\\\\" (["\\\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
)* "\\"" space`,
null: '"null" space',
};
const INVALID_RULE_CHARS_RE = /[^\dA-Za-z-]+/g;
const GRAMMAR_LITERAL_ESCAPE_RE = /[\n\r"]/g;
const GRAMMAR_LITERAL_ESCAPES = {'\r': '\\r', '\n': '\\n', '"': '\\"'};
export class SchemaConverter {
constructor(propOrder) {
this._propOrder = propOrder || {};
this._rules = new Map();
this._rules.set('space', SPACE_RULE);
}
_formatLiteral(literal) {
const escaped = JSON.stringify(literal).replace(
GRAMMAR_LITERAL_ESCAPE_RE,
m => GRAMMAR_LITERAL_ESCAPES[m]
);
return `"${escaped}"`;
}
_addRule(name, rule) {
let escName = name.replace(INVALID_RULE_CHARS_RE, '-');
let key = escName;
if (this._rules.has(escName)) {
if (this._rules.get(escName) === rule) {
return key;
}
let i = 0;
while (this._rules.has(`${escName}${i}`)) {
i += 1;
}
key = `${escName}${i}`;
}
this._rules.set(key, rule);
return key;
}
visit(schema, name) {
const schemaType = schema.type;
const ruleName = name || 'root';
if (schema.oneOf || schema.anyOf) {
const rule = (schema.oneOf || schema.anyOf).map((altSchema, i) =>
this.visit(altSchema, `${name}${name ? "-" : ""}${i}`)
).join(' | ');
return this._addRule(ruleName, rule);
} else if ('const' in schema) {
return this._addRule(ruleName, this._formatLiteral(schema.const));
} else if ('enum' in schema) {
const rule = schema.enum.map(v => this._formatLiteral(v)).join(' | ');
return this._addRule(ruleName, rule);
} else if (schemaType === 'object' && 'properties' in schema) {
// TODO: `required` keyword (from python implementation)
const propOrder = this._propOrder;
const propPairs = Object.entries(schema.properties).sort((a, b) => {
// sort by position in prop_order (if specified) then by key
const orderA = typeof propOrder[a[0]] === 'number' ? propOrder[a[0]] : Infinity;
const orderB = typeof propOrder[b[0]] === 'number' ? propOrder[b[0]] : Infinity;
return orderA - orderB || a[0].localeCompare(b[0]);
});
let rule = '"{" space';
propPairs.forEach(([propName, propSchema], i) => {
const propRuleName = this.visit(propSchema, `${name}${name ? "-" : ""}${propName}`);
if (i > 0) {
rule += ' "," space';
}
rule += ` ${this._formatLiteral(propName)} space ":" space ${propRuleName}`;
});
rule += ' "}" space';
return this._addRule(ruleName, rule);
} else if (schemaType === 'array' && 'items' in schema) {
// TODO `prefixItems` keyword (from python implementation)
const itemRuleName = this.visit(schema.items, `${name}${name ? "-" : ""}item`);
const rule = `"[" space (${itemRuleName} ("," space ${itemRuleName})*)? "]" space`;
return this._addRule(ruleName, rule);
} else {
if (!PRIMITIVE_RULES[schemaType]) {
throw new Error(`Unrecognized schema: ${JSON.stringify(schema)}`);
}
return this._addRule(
ruleName === 'root' ? 'root' : schemaType,
PRIMITIVE_RULES[schemaType]
);
}
}
formatGrammar() {
let grammar = '';
this._rules.forEach((rule, name) => {
grammar += `${name} ::= ${rule}\n`;
});
return grammar;
}
}

View file

@ -15,6 +15,7 @@
#include "index.html.hpp" #include "index.html.hpp"
#include "index.js.hpp" #include "index.js.hpp"
#include "completion.js.hpp" #include "completion.js.hpp"
#include "json-schema-to-grammar.mjs.hpp"
#ifndef SERVER_VERBOSE #ifndef SERVER_VERBOSE
#define SERVER_VERBOSE 1 #define SERVER_VERBOSE 1
@ -666,6 +667,7 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
{ {
fprintf(stdout, " --no-mmap do not memory-map model (slower load but may reduce pageouts if not using mlock)\n"); fprintf(stdout, " --no-mmap do not memory-map model (slower load but may reduce pageouts if not using mlock)\n");
} }
fprintf(stdout, " --numa attempt optimizations that help on some NUMA systems\n");
#ifdef LLAMA_SUPPORTS_GPU_OFFLOAD #ifdef LLAMA_SUPPORTS_GPU_OFFLOAD
fprintf(stdout, " -ngl N, --n-gpu-layers N\n"); fprintf(stdout, " -ngl N, --n-gpu-layers N\n");
fprintf(stdout, " number of layers to store in VRAM\n"); fprintf(stdout, " number of layers to store in VRAM\n");
@ -940,6 +942,10 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
{ {
params.use_mmap = false; params.use_mmap = false;
} }
else if (arg == "--numa")
{
params.numa = true;
}
else if (arg == "--embedding") else if (arg == "--embedding")
{ {
params.embedding = true; params.embedding = true;
@ -1213,6 +1219,12 @@ int main(int argc, char **argv)
res.set_content(reinterpret_cast<const char*>(&completion_js), completion_js_len, "application/javascript"); res.set_content(reinterpret_cast<const char*>(&completion_js), completion_js_len, "application/javascript");
return false; }); return false; });
// this is only called if no index.html is found in the public --path
svr.Get("/json-schema-to-grammar.mjs", [](const Request &, Response &res)
{
res.set_content(reinterpret_cast<const char*>(&json_schema_to_grammar_mjs), json_schema_to_grammar_mjs_len, "application/javascript");
return false; });
svr.Post("/completion", [&llama](const Request &req, Response &res) svr.Post("/completion", [&llama](const Request &req, Response &res)
{ {
auto lock = llama.lock(); auto lock = llama.lock();

File diff suppressed because it is too large Load diff

View file

@ -126,7 +126,7 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
ctx->library = [ctx->device newLibraryWithSource:msl_library_source options:nil error:&error]; ctx->library = [ctx->device newLibraryWithSource:msl_library_source options:nil error:&error];
if (error) { if (error) {
fprintf(stderr, "%s: error: %s\n", __func__, [[error description] UTF8String]); fprintf(stderr, "%s: error: %s\n", __func__, [[error description] UTF8String]);
exit(1); return NULL;
} }
} }
#else #else
@ -144,7 +144,7 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
NSString * src = [NSString stringWithContentsOfFile:path encoding:NSUTF8StringEncoding error:&error]; NSString * src = [NSString stringWithContentsOfFile:path encoding:NSUTF8StringEncoding error:&error];
if (error) { if (error) {
fprintf(stderr, "%s: error: %s\n", __func__, [[error description] UTF8String]); fprintf(stderr, "%s: error: %s\n", __func__, [[error description] UTF8String]);
exit(1); return NULL;
} }
#ifdef GGML_QKK_64 #ifdef GGML_QKK_64
@ -156,7 +156,7 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
#endif #endif
if (error) { if (error) {
fprintf(stderr, "%s: error: %s\n", __func__, [[error description] UTF8String]); fprintf(stderr, "%s: error: %s\n", __func__, [[error description] UTF8String]);
exit(1); return NULL;
} }
} }
#endif #endif

View file

@ -271,24 +271,29 @@ struct llama_mmap {
throw std::runtime_error(format("MapViewOfFile failed: %s", llama_format_win_err(error).c_str())); throw std::runtime_error(format("MapViewOfFile failed: %s", llama_format_win_err(error).c_str()));
} }
#ifndef USE_FAILSAFE
#if _WIN32_WINNT >= _WIN32_WINNT_WIN8
if (prefetch) { if (prefetch) {
// Advise the kernel to preload the mapped memory // The PrefetchVirtualMemory API is only present on Windows 8 and above, so we
WIN32_MEMORY_RANGE_ENTRY range; // will dynamically load it using GetProcAddress.
range.VirtualAddress = addr; BOOL (WINAPI *pPrefetchVirtualMemory) (HANDLE, ULONG_PTR, PWIN32_MEMORY_RANGE_ENTRY, ULONG);
range.NumberOfBytes = (SIZE_T)size; HMODULE hKernel32;
if (!PrefetchVirtualMemory(GetCurrentProcess(), 1, &range, 0)) {
fprintf(stderr, "warning: PrefetchVirtualMemory failed: %s\n", // This call is guaranteed to succeed.
llama_format_win_err(GetLastError()).c_str()); hKernel32 = GetModuleHandleW(L"kernel32.dll");
// This call may fail if on a pre-Win8 system.
pPrefetchVirtualMemory = reinterpret_cast<decltype(pPrefetchVirtualMemory)> (GetProcAddress(hKernel32, "PrefetchVirtualMemory"));
if (pPrefetchVirtualMemory) {
// Advise the kernel to preload the mapped memory.
WIN32_MEMORY_RANGE_ENTRY range;
range.VirtualAddress = addr;
range.NumberOfBytes = (SIZE_T)size;
if (!pPrefetchVirtualMemory(GetCurrentProcess(), 1, &range, 0)) {
fprintf(stderr, "warning: PrefetchVirtualMemory failed: %s\n",
llama_format_win_err(GetLastError()).c_str());
}
} }
} }
#else
#pragma message("warning: You are building for pre-Windows 8; prefetch not supported")
#endif // _WIN32_WINNT >= _WIN32_WINNT_WIN8
#else
printf("\nPrefetchVirtualMemory skipped in compatibility mode.\n");
#endif
} }
~llama_mmap() { ~llama_mmap() {

View file

@ -3351,6 +3351,12 @@ struct llama_context * llama_new_context_with_model(
// this allocates all Metal resources and memory buffers // this allocates all Metal resources and memory buffers
ctx->ctx_metal = ggml_metal_init(1); ctx->ctx_metal = ggml_metal_init(1);
if (!ctx->ctx_metal) {
LLAMA_LOG_ERROR("%s: ggml_metal_init() failed\n", __func__);
llama_free(ctx);
return NULL;
}
void * data_ptr = NULL; void * data_ptr = NULL;
size_t data_size = 0; size_t data_size = 0;

View file

@ -97,7 +97,7 @@ extern "C" {
// If your logging mechanism cannot handle that, check if the last character is '\n' and strip it // If your logging mechanism cannot handle that, check if the last character is '\n' and strip it
// if it exists. // if it exists.
// It might not exist for progress report where '.' is output repeatedly. // It might not exist for progress report where '.' is output repeatedly.
typedef void (*llama_log_callback)(llama_log_level level, const char * text, void * user_data); typedef void (*llama_log_callback)(enum llama_log_level level, const char * text, void * user_data);
struct llama_context_params { struct llama_context_params {
uint32_t seed; // RNG seed, -1 for random uint32_t seed; // RNG seed, -1 for random

View file

@ -0,0 +1,3 @@
#!/bin/bash
wget https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip

View file

@ -0,0 +1,249 @@
#ifdef NDEBUG
#undef NDEBUG
#endif
#include "llama.h"
#include "examples/grammar-parser.cpp"
#include <cassert>
int main()
{
grammar_parser::parse_state parsed_grammar;
const char *grammar_bytes = R"""(root ::= (expr "=" term "\n")+
expr ::= term ([-+*/] term)*
term ::= [0-9]+)""";
parsed_grammar = grammar_parser::parse(grammar_bytes);
std::vector<std::pair<std::string, uint32_t>> expected = {
{"expr", 2},
{"expr_5", 5},
{"expr_6", 6},
{"root", 0},
{"root_1", 1},
{"root_4", 4},
{"term", 3},
{"term_7", 7},
};
uint32_t index = 0;
for (auto it = parsed_grammar.symbol_ids.begin(); it != parsed_grammar.symbol_ids.end(); ++it)
{
std::string key = it->first;
uint32_t value = it->second;
std::pair<std::string, uint32_t> expected_pair = expected[index];
// pretty print error message before asserting
if (expected_pair.first != key || expected_pair.second != value)
{
fprintf(stderr, "expected_pair: %s, %d\n", expected_pair.first.c_str(), expected_pair.second);
fprintf(stderr, "actual_pair: %s, %d\n", key.c_str(), value);
fprintf(stderr, "expected_pair != actual_pair\n");
}
assert(expected_pair.first == key && expected_pair.second == value);
index++;
}
std::vector<llama_grammar_element> expected_rules = {
{LLAMA_GRETYPE_RULE_REF, 4},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 2},
{LLAMA_GRETYPE_CHAR, 61},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_CHAR, 10},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_RULE_REF, 6},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 7},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 1},
{LLAMA_GRETYPE_RULE_REF, 4},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_RULE_REF, 1},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_CHAR, 45},
{LLAMA_GRETYPE_CHAR_ALT, 43},
{LLAMA_GRETYPE_CHAR_ALT, 42},
{LLAMA_GRETYPE_CHAR_ALT, 47},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 5},
{LLAMA_GRETYPE_RULE_REF, 6},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_CHAR, 48},
{LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
{LLAMA_GRETYPE_RULE_REF, 7},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_CHAR, 48},
{LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
{LLAMA_GRETYPE_END, 0},
};
index = 0;
for (auto rule : parsed_grammar.rules)
{
// compare rule to expected rule
for (uint32_t i = 0; i < rule.size(); i++)
{
llama_grammar_element element = rule[i];
llama_grammar_element expected_element = expected_rules[index];
// pretty print error message before asserting
if (expected_element.type != element.type || expected_element.value != element.value)
{
fprintf(stderr, "index: %d\n", index);
fprintf(stderr, "expected_element: %d, %d\n", expected_element.type, expected_element.value);
fprintf(stderr, "actual_element: %d, %d\n", element.type, element.value);
fprintf(stderr, "expected_element != actual_element\n");
}
assert(expected_element.type == element.type && expected_element.value == element.value);
index++;
}
}
const char *longer_grammar_bytes = R"""(
root ::= (expr "=" ws term "\n")+
expr ::= term ([-+*/] term)*
term ::= ident | num | "(" ws expr ")" ws
ident ::= [a-z] [a-z0-9_]* ws
num ::= [0-9]+ ws
ws ::= [ \t\n]*
)""";
parsed_grammar = grammar_parser::parse(longer_grammar_bytes);
expected = {
{"expr", 2},
{"expr_6", 6},
{"expr_7", 7},
{"ident", 8},
{"ident_10", 10},
{"num", 9},
{"num_11", 11},
{"root", 0},
{"root_1", 1},
{"root_5", 5},
{"term", 4},
{"ws", 3},
{"ws_12", 12},
};
index = 0;
for (auto it = parsed_grammar.symbol_ids.begin(); it != parsed_grammar.symbol_ids.end(); ++it)
{
std::string key = it->first;
uint32_t value = it->second;
std::pair<std::string, uint32_t> expected_pair = expected[index];
// pretty print error message before asserting
if (expected_pair.first != key || expected_pair.second != value)
{
fprintf(stderr, "expected_pair: %s, %d\n", expected_pair.first.c_str(), expected_pair.second);
fprintf(stderr, "actual_pair: %s, %d\n", key.c_str(), value);
fprintf(stderr, "expected_pair != actual_pair\n");
}
assert(expected_pair.first == key && expected_pair.second == value);
index++;
}
expected_rules = {
{LLAMA_GRETYPE_RULE_REF, 5},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 2},
{LLAMA_GRETYPE_CHAR, 61},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_RULE_REF, 4},
{LLAMA_GRETYPE_CHAR, 10},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 4},
{LLAMA_GRETYPE_RULE_REF, 7},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 12},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 8},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_RULE_REF, 9},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_CHAR, 40},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_RULE_REF, 2},
{LLAMA_GRETYPE_CHAR, 41},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 1},
{LLAMA_GRETYPE_RULE_REF, 5},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_RULE_REF, 1},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_CHAR, 45},
{LLAMA_GRETYPE_CHAR_ALT, 43},
{LLAMA_GRETYPE_CHAR_ALT, 42},
{LLAMA_GRETYPE_CHAR_ALT, 47},
{LLAMA_GRETYPE_RULE_REF, 4},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 6},
{LLAMA_GRETYPE_RULE_REF, 7},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_CHAR, 97},
{LLAMA_GRETYPE_CHAR_RNG_UPPER, 122},
{LLAMA_GRETYPE_RULE_REF, 10},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_RULE_REF, 11},
{LLAMA_GRETYPE_RULE_REF, 3},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_CHAR, 97},
{LLAMA_GRETYPE_CHAR_RNG_UPPER, 122},
{LLAMA_GRETYPE_CHAR_ALT, 48},
{LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
{LLAMA_GRETYPE_CHAR_ALT, 95},
{LLAMA_GRETYPE_RULE_REF, 10},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_CHAR, 48},
{LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
{LLAMA_GRETYPE_RULE_REF, 11},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_CHAR, 48},
{LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
{LLAMA_GRETYPE_END, 0},
{LLAMA_GRETYPE_CHAR, 32},
{LLAMA_GRETYPE_CHAR_ALT, 9},
{LLAMA_GRETYPE_CHAR_ALT, 10},
{LLAMA_GRETYPE_RULE_REF, 12},
{LLAMA_GRETYPE_ALT, 0},
{LLAMA_GRETYPE_END, 0},
};
index = 0;
for (auto rule : parsed_grammar.rules)
{
// compare rule to expected rule
for (uint32_t i = 0; i < rule.size(); i++)
{
llama_grammar_element element = rule[i];
llama_grammar_element expected_element = expected_rules[index];
// pretty print error message before asserting
if (expected_element.type != element.type || expected_element.value != element.value)
{
fprintf(stderr, "index: %d\n", index);
fprintf(stderr, "expected_element: %d, %d\n", expected_element.type, expected_element.value);
fprintf(stderr, "actual_element: %d, %d\n", element.type, element.value);
fprintf(stderr, "expected_element != actual_element\n");
}
assert(expected_element.type == element.type && expected_element.value == element.value);
index++;
}
}
return 0;
}