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# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ***********
# `huggingface_hub` init has 2 modes:
# - Normal usage:
# If imported to use it, all modules and functions are lazy-loaded. This means
# they exist at top level in module but are imported only the first time they are
# used. This way, `from huggingface_hub import something` will import `something`
# quickly without the hassle of importing all the features from `huggingface_hub`.
# - Static check:
# If statically analyzed, all modules and functions are loaded normally. This way
# static typing check works properly as well as autocomplete in text editors and
# IDEs.
#
# The static model imports are done inside the `if TYPE_CHECKING:` statement at
# the bottom of this file. Since module/functions imports are duplicated, it is
# mandatory to make sure to add them twice when adding one. This is checked in the
# `make quality` command.
#
# To update the static imports, please run the following command and commit the changes.
# ```
# # Use script
# python utils/check_static_imports.py --update-file
#
# # Or run style on codebase
# make style
# ```
#
# ***********
# Lazy loader vendored from https://github.com/scientific-python/lazy_loader
import importlib
import os
import sys
from typing import TYPE_CHECKING
__version__ = "0.20.2"
# Alphabetical order of definitions is ensured in tests
# WARNING: any comment added in this dictionary definition will be lost when
# re-generating the file !
_SUBMOD_ATTRS = {
"_commit_scheduler": [
"CommitScheduler",
],
"_inference_endpoints": [
"InferenceEndpoint",
"InferenceEndpointError",
"InferenceEndpointStatus",
"InferenceEndpointTimeoutError",
"InferenceEndpointType",
],
"_login": [
"interpreter_login",
"login",
"logout",
"notebook_login",
],
"_multi_commits": [
"MultiCommitException",
"plan_multi_commits",
],
"_snapshot_download": [
"snapshot_download",
],
"_space_api": [
"SpaceHardware",
"SpaceRuntime",
"SpaceStage",
"SpaceStorage",
"SpaceVariable",
],
"_tensorboard_logger": [
"HFSummaryWriter",
],
"_webhooks_payload": [
"WebhookPayload",
"WebhookPayloadComment",
"WebhookPayloadDiscussion",
"WebhookPayloadDiscussionChanges",
"WebhookPayloadEvent",
"WebhookPayloadMovedTo",
"WebhookPayloadRepo",
"WebhookPayloadUrl",
"WebhookPayloadWebhook",
],
"_webhooks_server": [
"WebhooksServer",
"webhook_endpoint",
],
"community": [
"Discussion",
"DiscussionComment",
"DiscussionCommit",
"DiscussionEvent",
"DiscussionStatusChange",
"DiscussionTitleChange",
"DiscussionWithDetails",
],
"constants": [
"CONFIG_NAME",
"FLAX_WEIGHTS_NAME",
"HUGGINGFACE_CO_URL_HOME",
"HUGGINGFACE_CO_URL_TEMPLATE",
"PYTORCH_WEIGHTS_NAME",
"REPO_TYPE_DATASET",
"REPO_TYPE_MODEL",
"REPO_TYPE_SPACE",
"TF2_WEIGHTS_NAME",
"TF_WEIGHTS_NAME",
],
"fastai_utils": [
"_save_pretrained_fastai",
"from_pretrained_fastai",
"push_to_hub_fastai",
],
"file_download": [
"HfFileMetadata",
"_CACHED_NO_EXIST",
"cached_download",
"get_hf_file_metadata",
"hf_hub_download",
"hf_hub_url",
"try_to_load_from_cache",
],
"hf_api": [
"Collection",
"CollectionItem",
"CommitInfo",
"CommitOperation",
"CommitOperationAdd",
"CommitOperationCopy",
"CommitOperationDelete",
"GitCommitInfo",
"GitRefInfo",
"GitRefs",
"HfApi",
"RepoUrl",
"User",
"UserLikes",
"accept_access_request",
"add_collection_item",
"add_space_secret",
"add_space_variable",
"cancel_access_request",
"change_discussion_status",
"comment_discussion",
"create_branch",
"create_collection",
"create_commit",
"create_commits_on_pr",
"create_discussion",
"create_inference_endpoint",
"create_pull_request",
"create_repo",
"create_tag",
"dataset_info",
"delete_branch",
"delete_collection",
"delete_collection_item",
"delete_file",
"delete_folder",
"delete_inference_endpoint",
"delete_repo",
"delete_space_secret",
"delete_space_storage",
"delete_space_variable",
"delete_tag",
"duplicate_space",
"edit_discussion_comment",
"file_exists",
"get_collection",
"get_dataset_tags",
"get_discussion_details",
"get_full_repo_name",
"get_inference_endpoint",
"get_model_tags",
"get_paths_info",
"get_repo_discussions",
"get_safetensors_metadata",
"get_space_runtime",
"get_space_variables",
"get_token_permission",
"grant_access",
"like",
"list_accepted_access_requests",
"list_collections",
"list_datasets",
"list_files_info",
"list_inference_endpoints",
"list_liked_repos",
"list_metrics",
"list_models",
"list_pending_access_requests",
"list_rejected_access_requests",
"list_repo_commits",
"list_repo_files",
"list_repo_likers",
"list_repo_refs",
"list_repo_tree",
"list_spaces",
"merge_pull_request",
"model_info",
"move_repo",
"parse_safetensors_file_metadata",
"pause_inference_endpoint",
"pause_space",
"preupload_lfs_files",
"reject_access_request",
"rename_discussion",
"repo_exists",
"repo_info",
"repo_type_and_id_from_hf_id",
"request_space_hardware",
"request_space_storage",
"restart_space",
"resume_inference_endpoint",
"run_as_future",
"scale_to_zero_inference_endpoint",
"set_space_sleep_time",
"space_info",
"super_squash_history",
"unlike",
"update_collection_item",
"update_collection_metadata",
"update_inference_endpoint",
"update_repo_visibility",
"upload_file",
"upload_folder",
"whoami",
],
"hf_file_system": [
"HfFileSystem",
"HfFileSystemFile",
"HfFileSystemResolvedPath",
],
"hub_mixin": [
"ModelHubMixin",
"PyTorchModelHubMixin",
],
"inference._client": [
"InferenceClient",
"InferenceTimeoutError",
],
"inference._generated._async_client": [
"AsyncInferenceClient",
],
"inference_api": [
"InferenceApi",
],
"keras_mixin": [
"KerasModelHubMixin",
"from_pretrained_keras",
"push_to_hub_keras",
"save_pretrained_keras",
],
"repocard": [
"DatasetCard",
"ModelCard",
"RepoCard",
"SpaceCard",
"metadata_eval_result",
"metadata_load",
"metadata_save",
"metadata_update",
],
"repocard_data": [
"CardData",
"DatasetCardData",
"EvalResult",
"ModelCardData",
"SpaceCardData",
],
"repository": [
"Repository",
],
"utils": [
"CacheNotFound",
"CachedFileInfo",
"CachedRepoInfo",
"CachedRevisionInfo",
"CorruptedCacheException",
"DeleteCacheStrategy",
"HFCacheInfo",
"HfFolder",
"cached_assets_path",
"configure_http_backend",
"dump_environment_info",
"get_session",
"get_token",
"logging",
"scan_cache_dir",
],
"utils.endpoint_helpers": [
"DatasetFilter",
"ModelFilter",
],
}
def _attach(package_name, submodules=None, submod_attrs=None):
"""Attach lazily loaded submodules, functions, or other attributes.
Typically, modules import submodules and attributes as follows:
```py
import mysubmodule
import anothersubmodule
from .foo import someattr
```
The idea is to replace a package's `__getattr__`, `__dir__`, and
`__all__`, such that all imports work exactly the way they would
with normal imports, except that the import occurs upon first use.
The typical way to call this function, replacing the above imports, is:
```python
__getattr__, __dir__, __all__ = lazy.attach(
__name__,
['mysubmodule', 'anothersubmodule'],
{'foo': ['someattr']}
)
```
This functionality requires Python 3.7 or higher.
Args:
package_name (`str`):
Typically use `__name__`.
submodules (`set`):
List of submodules to attach.
submod_attrs (`dict`):
Dictionary of submodule -> list of attributes / functions.
These attributes are imported as they are used.
Returns:
__getattr__, __dir__, __all__
"""
if submod_attrs is None:
submod_attrs = {}
if submodules is None:
submodules = set()
else:
submodules = set(submodules)
attr_to_modules = {attr: mod for mod, attrs in submod_attrs.items() for attr in attrs}
__all__ = list(submodules | attr_to_modules.keys())
def __getattr__(name):
if name in submodules:
return importlib.import_module(f"{package_name}.{name}")
elif name in attr_to_modules:
submod_path = f"{package_name}.{attr_to_modules[name]}"
submod = importlib.import_module(submod_path)
attr = getattr(submod, name)
# If the attribute lives in a file (module) with the same
# name as the attribute, ensure that the attribute and *not*
# the module is accessible on the package.
if name == attr_to_modules[name]:
pkg = sys.modules[package_name]
pkg.__dict__[name] = attr
return attr
else:
raise AttributeError(f"No {package_name} attribute {name}")
def __dir__():
return __all__
if os.environ.get("EAGER_IMPORT", ""):
for attr in set(attr_to_modules.keys()) | submodules:
__getattr__(attr)
return __getattr__, __dir__, list(__all__)
__getattr__, __dir__, __all__ = _attach(__name__, submodules=[], submod_attrs=_SUBMOD_ATTRS)
# WARNING: any content below this statement is generated automatically. Any manual edit
# will be lost when re-generating this file !
#
# To update the static imports, please run the following command and commit the changes.
# ```
# # Use script
# python utils/check_static_imports.py --update-file
#
# # Or run style on codebase
# make style
# ```
if TYPE_CHECKING: # pragma: no cover
from ._commit_scheduler import CommitScheduler # noqa: F401
from ._inference_endpoints import (
InferenceEndpoint, # noqa: F401
InferenceEndpointError, # noqa: F401
InferenceEndpointStatus, # noqa: F401
InferenceEndpointTimeoutError, # noqa: F401
InferenceEndpointType, # noqa: F401
)
from ._login import (
interpreter_login, # noqa: F401
login, # noqa: F401
logout, # noqa: F401
notebook_login, # noqa: F401
)
from ._multi_commits import (
MultiCommitException, # noqa: F401
plan_multi_commits, # noqa: F401
)
from ._snapshot_download import snapshot_download # noqa: F401
from ._space_api import (
SpaceHardware, # noqa: F401
SpaceRuntime, # noqa: F401
SpaceStage, # noqa: F401
SpaceStorage, # noqa: F401
SpaceVariable, # noqa: F401
)
from ._tensorboard_logger import HFSummaryWriter # noqa: F401
from ._webhooks_payload import (
WebhookPayload, # noqa: F401
WebhookPayloadComment, # noqa: F401
WebhookPayloadDiscussion, # noqa: F401
WebhookPayloadDiscussionChanges, # noqa: F401
WebhookPayloadEvent, # noqa: F401
WebhookPayloadMovedTo, # noqa: F401
WebhookPayloadRepo, # noqa: F401
WebhookPayloadUrl, # noqa: F401
WebhookPayloadWebhook, # noqa: F401
)
from ._webhooks_server import (
WebhooksServer, # noqa: F401
webhook_endpoint, # noqa: F401
)
from .community import (
Discussion, # noqa: F401
DiscussionComment, # noqa: F401
DiscussionCommit, # noqa: F401
DiscussionEvent, # noqa: F401
DiscussionStatusChange, # noqa: F401
DiscussionTitleChange, # noqa: F401
DiscussionWithDetails, # noqa: F401
)
from .constants import (
CONFIG_NAME, # noqa: F401
FLAX_WEIGHTS_NAME, # noqa: F401
HUGGINGFACE_CO_URL_HOME, # noqa: F401
HUGGINGFACE_CO_URL_TEMPLATE, # noqa: F401
PYTORCH_WEIGHTS_NAME, # noqa: F401
REPO_TYPE_DATASET, # noqa: F401
REPO_TYPE_MODEL, # noqa: F401
REPO_TYPE_SPACE, # noqa: F401
TF2_WEIGHTS_NAME, # noqa: F401
TF_WEIGHTS_NAME, # noqa: F401
)
from .fastai_utils import (
_save_pretrained_fastai, # noqa: F401
from_pretrained_fastai, # noqa: F401
push_to_hub_fastai, # noqa: F401
)
from .file_download import (
_CACHED_NO_EXIST, # noqa: F401
HfFileMetadata, # noqa: F401
cached_download, # noqa: F401
get_hf_file_metadata, # noqa: F401
hf_hub_download, # noqa: F401
hf_hub_url, # noqa: F401
try_to_load_from_cache, # noqa: F401
)
from .hf_api import (
Collection, # noqa: F401
CollectionItem, # noqa: F401
CommitInfo, # noqa: F401
CommitOperation, # noqa: F401
CommitOperationAdd, # noqa: F401
CommitOperationCopy, # noqa: F401
CommitOperationDelete, # noqa: F401
GitCommitInfo, # noqa: F401
GitRefInfo, # noqa: F401
GitRefs, # noqa: F401
HfApi, # noqa: F401
RepoUrl, # noqa: F401
User, # noqa: F401
UserLikes, # noqa: F401
accept_access_request, # noqa: F401
add_collection_item, # noqa: F401
add_space_secret, # noqa: F401
add_space_variable, # noqa: F401
cancel_access_request, # noqa: F401
change_discussion_status, # noqa: F401
comment_discussion, # noqa: F401
create_branch, # noqa: F401
create_collection, # noqa: F401
create_commit, # noqa: F401
create_commits_on_pr, # noqa: F401
create_discussion, # noqa: F401
create_inference_endpoint, # noqa: F401
create_pull_request, # noqa: F401
create_repo, # noqa: F401
create_tag, # noqa: F401
dataset_info, # noqa: F401
delete_branch, # noqa: F401
delete_collection, # noqa: F401
delete_collection_item, # noqa: F401
delete_file, # noqa: F401
delete_folder, # noqa: F401
delete_inference_endpoint, # noqa: F401
delete_repo, # noqa: F401
delete_space_secret, # noqa: F401
delete_space_storage, # noqa: F401
delete_space_variable, # noqa: F401
delete_tag, # noqa: F401
duplicate_space, # noqa: F401
edit_discussion_comment, # noqa: F401
file_exists, # noqa: F401
get_collection, # noqa: F401
get_dataset_tags, # noqa: F401
get_discussion_details, # noqa: F401
get_full_repo_name, # noqa: F401
get_inference_endpoint, # noqa: F401
get_model_tags, # noqa: F401
get_paths_info, # noqa: F401
get_repo_discussions, # noqa: F401
get_safetensors_metadata, # noqa: F401
get_space_runtime, # noqa: F401
get_space_variables, # noqa: F401
get_token_permission, # noqa: F401
grant_access, # noqa: F401
like, # noqa: F401
list_accepted_access_requests, # noqa: F401
list_collections, # noqa: F401
list_datasets, # noqa: F401
list_files_info, # noqa: F401
list_inference_endpoints, # noqa: F401
list_liked_repos, # noqa: F401
list_metrics, # noqa: F401
list_models, # noqa: F401
list_pending_access_requests, # noqa: F401
list_rejected_access_requests, # noqa: F401
list_repo_commits, # noqa: F401
list_repo_files, # noqa: F401
list_repo_likers, # noqa: F401
list_repo_refs, # noqa: F401
list_repo_tree, # noqa: F401
list_spaces, # noqa: F401
merge_pull_request, # noqa: F401
model_info, # noqa: F401
move_repo, # noqa: F401
parse_safetensors_file_metadata, # noqa: F401
pause_inference_endpoint, # noqa: F401
pause_space, # noqa: F401
preupload_lfs_files, # noqa: F401
reject_access_request, # noqa: F401
rename_discussion, # noqa: F401
repo_exists, # noqa: F401
repo_info, # noqa: F401
repo_type_and_id_from_hf_id, # noqa: F401
request_space_hardware, # noqa: F401
request_space_storage, # noqa: F401
restart_space, # noqa: F401
resume_inference_endpoint, # noqa: F401
run_as_future, # noqa: F401
scale_to_zero_inference_endpoint, # noqa: F401
set_space_sleep_time, # noqa: F401
space_info, # noqa: F401
super_squash_history, # noqa: F401
unlike, # noqa: F401
update_collection_item, # noqa: F401
update_collection_metadata, # noqa: F401
update_inference_endpoint, # noqa: F401
update_repo_visibility, # noqa: F401
upload_file, # noqa: F401
upload_folder, # noqa: F401
whoami, # noqa: F401
)
from .hf_file_system import (
HfFileSystem, # noqa: F401
HfFileSystemFile, # noqa: F401
HfFileSystemResolvedPath, # noqa: F401
)
from .hub_mixin import (
ModelHubMixin, # noqa: F401
PyTorchModelHubMixin, # noqa: F401
)
from .inference._client import (
InferenceClient, # noqa: F401
InferenceTimeoutError, # noqa: F401
)
from .inference._generated._async_client import AsyncInferenceClient # noqa: F401
from .inference_api import InferenceApi # noqa: F401
from .keras_mixin import (
KerasModelHubMixin, # noqa: F401
from_pretrained_keras, # noqa: F401
push_to_hub_keras, # noqa: F401
save_pretrained_keras, # noqa: F401
)
from .repocard import (
DatasetCard, # noqa: F401
ModelCard, # noqa: F401
RepoCard, # noqa: F401
SpaceCard, # noqa: F401
metadata_eval_result, # noqa: F401
metadata_load, # noqa: F401
metadata_save, # noqa: F401
metadata_update, # noqa: F401
)
from .repocard_data import (
CardData, # noqa: F401
DatasetCardData, # noqa: F401
EvalResult, # noqa: F401
ModelCardData, # noqa: F401
SpaceCardData, # noqa: F401
)
from .repository import Repository # noqa: F401
from .utils import (
CachedFileInfo, # noqa: F401
CachedRepoInfo, # noqa: F401
CachedRevisionInfo, # noqa: F401
CacheNotFound, # noqa: F401
CorruptedCacheException, # noqa: F401
DeleteCacheStrategy, # noqa: F401
HFCacheInfo, # noqa: F401
HfFolder, # noqa: F401
cached_assets_path, # noqa: F401
configure_http_backend, # noqa: F401
dump_environment_info, # noqa: F401
get_session, # noqa: F401
get_token, # noqa: F401
logging, # noqa: F401
scan_cache_dir, # noqa: F401
)
from .utils.endpoint_helpers import (
DatasetFilter, # noqa: F401
ModelFilter, # noqa: F401
)
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