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import base64
import hashlib
import importlib
import importlib.util
import sys
import tempfile
from io import BytesIO
from pathlib import Path
from zipfile import ZIP_DEFLATED, ZipFile
from .fastplms_bundle import RUNTIME_DATA, RUNTIME_HASH
if RUNTIME_HASH != "a8dda20d6a4a55e6808c7c2f2c9477c113edaa7d6ec6ef57f4a898cd47b73d48":
raise RuntimeError("FastPLMs runtime identity differs from the bridge.")
_RUNTIME_TEMPORARIES = []
def _archive_runtime_hashes(payload):
result = {}
with ZipFile(BytesIO(payload)) as archive:
for member in archive.infolist():
name = member.filename
parts = Path(name).parts
if (
member.is_dir()
or "\\" in name
or not parts
or parts[0] != "fastplms"
or len(parts) < 2
or any(part in {"", ".", ".."} for part in parts)
or Path(name).suffix in {".pyc", ".pyo"}
or member.flag_bits & 0x1
or member.compress_type != ZIP_DEFLATED
or member.external_attr >> 16 != 0o100644
):
raise RuntimeError("Embedded FastPLMs archive has an unsafe path.")
relative = Path(*parts[1:]).as_posix()
if relative in result:
raise RuntimeError("Embedded FastPLMs archive repeats a path.")
result[relative] = hashlib.sha256(archive.read(member)).hexdigest()
return result
def _ensure_runtime():
payload = base64.b85decode("".join(RUNTIME_DATA))
if hashlib.sha256(payload).hexdigest() != RUNTIME_HASH:
raise RuntimeError("Embedded FastPLMs runtime hash mismatch.")
expected = _archive_runtime_hashes(payload)
temporary = tempfile.TemporaryDirectory(prefix="fastplms-artifact-runtime-")
try:
runtime_root = Path(temporary.name)
with ZipFile(BytesIO(payload)) as archive:
for member in archive.infolist():
target = runtime_root.joinpath(*Path(member.filename).parts)
target.parent.mkdir(parents=True, exist_ok=True)
with target.open("xb") as handle:
handle.write(archive.read(member))
package_root = runtime_root / "fastplms"
if _runtime_file_hashes(package_root) != expected:
raise RuntimeError(
"Private FastPLMs runtime differs from the embedded archive."
)
except BaseException:
temporary.cleanup()
raise
_RUNTIME_TEMPORARIES.append(temporary)
return package_root
def _runtime_file_hashes(package_root):
result = {}
for path in sorted(package_root.rglob("*")):
relative = path.relative_to(package_root)
if path.is_symlink():
raise RuntimeError("Private FastPLMs runtime contains a symlink.")
if path.is_dir():
continue
if path.suffix in {".pyc", ".pyo"}:
raise RuntimeError("Private FastPLMs runtime contains bytecode.")
if not path.is_file():
raise RuntimeError("Private FastPLMs runtime contains a non-file entry.")
result[relative.as_posix()] = hashlib.sha256(path.read_bytes()).hexdigest()
return result
def _extend_loaded_package_paths(package_root):
for name, module in list(sys.modules.items()):
if name != "fastplms" and not name.startswith("fastplms."):
continue
paths = getattr(module, "__path__", None)
if paths is None:
continue
relative = name.split(".")[1:]
candidate = package_root.joinpath(*relative)
candidate_text = str(candidate)
if candidate.is_dir() and candidate_text not in paths:
paths.append(candidate_text)
def _merge_runtime(package, package_root):
incoming = _runtime_file_hashes(package_root)
known = getattr(package, "__fastplms_artifact_runtime_files__", None)
if not isinstance(known, dict):
raise RuntimeError(
"A non-artifact fastplms module is already loaded. Load the Hub artifact "
"in a separate Python process."
)
conflicts = sorted(
relative
for relative, digest in incoming.items()
if relative in known and known[relative] != digest
)
if conflicts:
raise RuntimeError(
"FastPLMs artifacts contain incompatible runtime sources at "
+ ", ".join(repr(path) for path in conflicts[:5])
+ ". Load incompatible releases in separate Python processes."
)
known = dict(known)
known.update(incoming)
package.__fastplms_artifact_runtime_files__ = known
roots = list(getattr(package, "__fastplms_artifact_runtime_roots__", ()))
if str(package_root) not in roots:
roots.append(str(package_root))
package.__fastplms_artifact_runtime_roots__ = tuple(roots)
temporaries = list(
getattr(package, "__fastplms_artifact_runtime_temporaries__", ())
)
for temporary in _RUNTIME_TEMPORARIES:
if temporary not in temporaries:
temporaries.append(temporary)
package.__fastplms_artifact_runtime_temporaries__ = tuple(temporaries)
hashes = set(getattr(package, "__fastplms_artifact_runtime_hashes__", ()))
hashes.add(RUNTIME_HASH)
package.__fastplms_artifact_runtime_hashes__ = frozenset(hashes)
_extend_loaded_package_paths(package_root)
return package
def _import_without_bytecode(module_name):
previous = sys.dont_write_bytecode
sys.dont_write_bytecode = True
try:
return importlib.import_module(module_name)
finally:
sys.dont_write_bytecode = previous
def _install_runtime():
package = sys.modules.get("fastplms")
hashes = getattr(package, "__fastplms_artifact_runtime_hashes__", ())
if RUNTIME_HASH in hashes:
return package
package_root = _ensure_runtime()
if package is not None:
return _merge_runtime(package, package_root)
spec = importlib.util.spec_from_file_location(
"fastplms",
package_root / "__init__.py",
submodule_search_locations=[str(package_root)],
)
if spec is None or spec.loader is None:
raise ImportError("Unable to load the embedded FastPLMs runtime.")
package = importlib.util.module_from_spec(spec)
package.__fastplms_artifact_runtime_hash__ = RUNTIME_HASH
package.__fastplms_artifact_runtime_hashes__ = frozenset({RUNTIME_HASH})
package.__fastplms_artifact_runtime_files__ = _runtime_file_hashes(package_root)
package.__fastplms_artifact_runtime_roots__ = (str(package_root),)
package.__fastplms_artifact_runtime_temporaries__ = tuple(
_RUNTIME_TEMPORARIES
)
sys.modules["fastplms"] = package
previous = sys.dont_write_bytecode
sys.dont_write_bytecode = True
try:
try:
spec.loader.exec_module(package)
except BaseException:
sys.modules.pop("fastplms", None)
raise
finally:
sys.dont_write_bytecode = previous
return package
_install_runtime()
_module_181 = _import_without_bytecode("fastplms.models.e1.modeling_e1")
E1Config = _module_181.E1Config
E1Config.__module__ = __name__
E1ForMaskedLM = _module_181.E1ForMaskedLM
E1ForMaskedLM.__module__ = __name__
E1ForSequenceClassification = _module_181.E1ForSequenceClassification
E1ForSequenceClassification.__module__ = __name__
E1ForTokenClassification = _module_181.E1ForTokenClassification
E1ForTokenClassification.__module__ = __name__
E1Model = _module_181.E1Model
E1Model.__module__ = __name__
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