File size: 11,735 Bytes
317d342 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 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 | """Portable integrity/development admission, never a model or rights certificate."""
import hashlib
from pathlib import Path
from . import _windows
from .protocol import decode
TOKENIZER_FILES = {'tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json'}
WINDOW_GATE_MODE = 'supervised-owned-parent-window-gated'
WINDOW_GATE_PROFILE = 'CLS-window-gated-linear-heads-v1'
SOURCE_KIND_MODE = 'supervised-owned-parent-source-kind-gated'
SOURCE_KIND_PROFILE = 'CLS-source-kind-gated-linear-heads-v1'
def sha(path, limit):
total = 0
digest = hashlib.sha256()
with Path(path).open('rb') as stream:
while chunk := stream.read(1024 * 1024):
total += len(chunk)
if total > limit:
raise ValueError('artifact_byte_limit')
digest.update(chunk)
return digest.hexdigest()
def _file(root, name):
path = (root / name).resolve(strict=True)
if not path.is_relative_to(root) or not path.is_file():
raise ValueError('artifact_path_escape')
return path
def _json(root, name, limit):
path = _file(root, name)
with path.open('rb') as stream:
data = stream.read(limit + 1)
if len(data) > limit:
raise ValueError('artifact_byte_limit')
return decode(data)
def _inspect_source_kind(root, report, revision):
recipe = report['recipe']
parent = report.get('parent_checkpoint_sha256')
if (report.get('runtime_admitted') is not True
or not isinstance(parent, str) or len(parent) != 64 or parent == revision
or any(c not in '0123456789abcdef' for c in parent)
or recipe.get('gate_input') != 'encoder_CLS_per_window'
or type(recipe.get('gate_threshold')) is not int or recipe['gate_threshold'] != 0
or recipe.get('branch_order') != ['service', 'log', 'base']
or recipe.get('log_bias') != 'shared_frozen_base_head_bias'
or recipe.get('additional_parameters') != 1537
or any(recipe.get(k) is not True for k in ('encoder_frozen', 'base_head_frozen',
'service_gate_and_head_frozen', 'original_parameters_bitwise_unchanged'))):
raise ValueError('frozen_source_kind_parent_profile_required')
files = {'__init__.py', '__main__.py', '_model.py', '_window_gate.py', '_source_kind.py',
'_windows.py', 'artifact.py', 'bootstrap.py', 'protocol.py', 'runtime.py'}
package = Path(__file__).resolve().parent
pins = report.get('runtime_files_sha256')
if (not isinstance(pins, dict) or set(pins) != files
or {p.name for p in package.glob('*.py')} != files
or any(sha(package / n, 128 * 1024) != digest for n, digest in pins.items())):
raise ValueError('complete_source_kind_runtime_code_pins_required')
if (sha(package / '_window_gate.py', 128 * 1024) != report.get('window_gate_code_sha256')
or sha(package / '_source_kind.py', 128 * 1024) != report.get('source_kind_model_code_sha256')):
raise ValueError('source_kind_model_code_hash_mismatch')
evidence = report.get('source_kind_evidence')
required = {'SOURCE-KIND-TRAIN-AUDIT.json', 'SOURCE-KIND-GPU-AUDIT.json', 'SOURCE-KIND-NATIVE-AUDIT.json'}
if not isinstance(evidence, dict) or set(evidence) != required:
raise ValueError('complete_source_kind_development_evidence_required')
proofs = {}
for name, digest in evidence.items():
if sha(_file(root, name), 1024 * 1024) != digest:
raise ValueError('source_kind_evidence_hash_mismatch')
proof = _json(root, name, 1024 * 1024)
if (not isinstance(proof, dict) or proof.get('checkpoint_sha256') != revision
or any(proof.get(k) is not False for k in ('qualification', 'promotion_ready', 'release_approved'))):
raise ValueError('unqualified_source_kind_evidence_required')
proofs[name] = proof
train = proofs['SOURCE-KIND-TRAIN-AUDIT.json']
gpu = proofs['SOURCE-KIND-GPU-AUDIT.json']
native = proofs['SOURCE-KIND-NATIVE-AUDIT.json']
if (train.get('status') != 'independent_source_kind_TRAIN_audit_passed_not_qualification'
or train.get('parent_checkpoint_sha256') != parent
or train.get('encoder_and_original_heads_bitwise_identical') is not True
or train.get('gate_constraints') != 3384
or type(train.get('minimum_FP32_signed_margin')) not in (int, float)
or not .9999 <= train['minimum_FP32_signed_margin'] <= 1e6
or train.get('log_head_TRAIN_audit_passed') is not True
or train.get('DEV_used_in_fit') is not False or train.get('heldout_access') is not False
or gpu.get('status') != 'independent_source_kind_906window_GPU_audit_passed_not_qualification'
or gpu.get('actual_GPU_cases') != 880 or gpu.get('actual_GPU_windows') != 906
or gpu.get('all871_CPU_GPU_source_parity_verified') is not True
or gpu.get('Java_log_windows') != 5 or gpu.get('five_family_windows') != 30
or gpu.get('original_mask_bindings_verified') != 871
or gpu.get('route_misses') != [] or gpu.get('all_parameters_bitwise_unchanged') is not True
or gpu.get('new_revision_response_identity_verified') is not True
or native.get('status') != 'independent_source_kind_native_DEV_audit_passed_not_qualification'
or native.get('all348_native_source_allocations_exact_required_budget_valid') is not True
or native.get('all16_Java_native_allocations_exact_required_budget_valid') is not True
or native.get('budgets') != [.25, .5] or native.get('known_support_losses') != []
or native.get('original_masks_unchanged') is not True
or native.get('retained_group_identity_verified') is not True):
raise ValueError('source_kind_full_development_evidence_required_not_qualification')
if any(report.get(k) is not False for k in ('qualification', 'promotion_ready', 'release_approved', 'redistribution_cleared')):
raise ValueError('source_kind_development_is_not_release_clearance')
def inspect_artifact(directory, revision):
"""Check bytes/declared completion only, with no imports of ML frameworks."""
if (not isinstance(revision, str) or len(revision) != 64
or any(c not in '0123456789abcdef' for c in revision)):
raise ValueError('checkpoint_SHA256_required')
root = Path(directory)
if not root.is_absolute():
raise ValueError('absolute_artifact_path_required')
root = root.resolve(strict=True)
report = _json(root, 'training-report.json', 1024 * 1024)
recipe = report.get('recipe', {}) if isinstance(report, dict) else {}
mode = report.get('mode') if isinstance(report, dict) else None
supported_recipe = isinstance(recipe, dict) and (
(mode == 'supervised-foundation-feature-distilled'
and recipe.get('objective_profile') == 'optional-balanced-window-hardpair-headwarm-v4')
or (mode == WINDOW_GATE_MODE and recipe.get('objective_profile') == WINDOW_GATE_PROFILE)
or (mode == SOURCE_KIND_MODE and recipe.get('objective_profile') == SOURCE_KIND_PROFILE))
if (not isinstance(report, dict) or not isinstance(report.get('recipe'), dict)
or report.get('status') != 'completed_development_only'
or report.get('checkpoint_sha256') != revision
or not supported_recipe
or report.get('recipe', {}).get('precision') != 'fp32'
or report.get('recipe', {}).get('student_token_cap') != 8192):
raise ValueError('completed_clean_compact12_development_artifact_required')
_windows.verify_profile(report)
if sha(Path(__file__).with_name('_model.py'), 128 * 1024) != report.get('joint_model_code_sha256'):
raise ValueError('model_code_hash_mismatch')
if mode == SOURCE_KIND_MODE:
_inspect_source_kind(root, report, revision)
if mode == WINDOW_GATE_MODE:
parent = report.get('parent_checkpoint_sha256')
if (not isinstance(parent, str) or len(parent) != 64 or parent == revision
or any(c not in '0123456789abcdef' for c in parent)
or recipe.get('gate_input') != 'encoder_CLS_per_window'
or recipe.get('encoder_frozen') is not True or recipe.get('base_head_frozen') is not True):
raise ValueError('frozen_owned_parent_window_gate_profile_required')
if sha(Path(__file__).with_name('_window_gate.py'), 128 * 1024) != report.get('window_gate_code_sha256'):
raise ValueError('window_gate_code_hash_mismatch')
evidence = report.get('window_gate_evidence')
required = {'WINDOW-GATE-TRAIN-AUDIT.json', 'WINDOW-GATE-DEV-AUDIT.json'}
if not isinstance(evidence, dict) or set(evidence) != required:
raise ValueError('window_gate_evidence_pins_required')
for name, digest in evidence.items():
if sha(_file(root, name), 1024 * 1024) != digest:
raise ValueError('window_gate_evidence_hash_mismatch')
train = _json(root, 'WINDOW-GATE-TRAIN-AUDIT.json', 1024 * 1024)
dev = _json(root, 'WINDOW-GATE-DEV-AUDIT.json', 1024 * 1024)
if (not isinstance(train, dict) or not isinstance(dev, dict)
or train.get('status') != 'independent_CLS_window_gate_TRAIN_audit_passed_not_qualification'
or train.get('checkpoint_sha256') != revision
or train.get('encoder_and_original_head_bitwise_identical') is not True
or dev.get('status') != 'independently_replayed_prerequisite_pass'
or dev.get('all871_CPU_GPU_source_parity_verified') is not True
or dev.get('known_support_losses') != []
or any(proof.get('qualification') is not False or proof.get('promotion_ready') is not False
for proof in (train, dev))):
raise ValueError('window_gate_development_evidence_required_not_qualification')
config = _json(root, 'config.json', 65536)
if (not isinstance(config, dict) or config.get('model_type') != 'modernbert' or config.get('num_hidden_layers') != 12
or config.get('hidden_size') != 768 or config.get('max_position_embeddings') != 8192
or config.get('layer_types') != ['full_attention' if i % 3 == 0 else 'sliding_attention' for i in range(12)]):
raise ValueError('compact12_configuration_required')
if sha(_file(root, 'config.json'), 65536) != report.get('config_sha256'):
raise ValueError('config_hash_mismatch')
if sha(_file(root, 'checkpoint.pt'), 1024**3) != revision:
raise ValueError('weights_hash_mismatch')
pins = report.get('tokenizer_sha256')
if not isinstance(pins, dict) or set(pins) != TOKENIZER_FILES:
raise ValueError('complete_tokenizer_pins_required')
if {p.name for p in (root / 'tokenizer').iterdir()} != TOKENIZER_FILES:
raise ValueError('tokenizer_files_mismatch')
for name, digest in pins.items():
if sha(_file(root, 'tokenizer/' + name), 32 * 1024**2) != digest:
raise ValueError('tokenizer_hash_mismatch')
decision = _json(root, 'DEVELOPMENT-DECISION.json', 1024 * 1024)
if (not isinstance(decision, dict) or decision.get('checkpoint_sha256') != revision
or any(decision.get(key) is not True for key in
('training_completed', 'completion_content_audit_passed', 'development_stop_go_passed'))
or any(decision.get(key) is not False for key in ('qualification', 'release_approved', 'redistribution_cleared'))):
raise ValueError('accepted_development_decision_required_not_release')
return report
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