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rg)CachedFileInfo( a Frozen data structure holding information about a single cached file.
Args:
file_name (`str`):
Name of the file. Example: `config.json`.
file_path (`Path`):
Path of the file in the `snapshots` directory. The file path is a symlink
referring to a blob in the `blobs` folder.
blob_path (`Path`):
Path of the blob file. This is equivalent to `file_path.resolve()`.
size_on_disk (`int`):
Size of the blob file in bytes.
blob_last_accessed (`float`):
Timestamp of the last time the blob file has been accessed (from any
revision).
blob_last_modified (`float`):
Timestamp of the last time the blob file has been modified/created.
`blob_last_accessed` and `blob_last_modified` reliability can depend on the OS you
are using. See [python documentation](https://docs.python.org/3/library/os.html#os.stat_result)
for more details.
file_name file_path blob_path size_on_diskblob_last_accessedblob_last_modifiedreturnc , [ U R 5 $ )z
(property) Timestamp of the last time the blob file has been accessed (from any
revision), returned as a human-readable string.
Example: "2 weeks ago".
)_format_timesincer selfs \/var/www/auris/envauris/lib/python3.13/site-packages/huggingface_hub/utils/_cache_manager.pyblob_last_accessed_str%CachedFileInfo.blob_last_accessed_strM !!8!899 c , [ U R 5 $ )z
(property) Timestamp of the last time the blob file has been modified, returned
as a human-readable string.
Example: "2 weeks ago".
)r# r r$ s r& blob_last_modified_str%CachedFileInfo.blob_last_modified_strW r) r* c , [ U R 5 $ )zQ
(property) Size of the blob file as a human-readable string.
Example: "42.2K".
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rg)CachedRevisionInfok a Frozen data structure holding information about a revision.
A revision correspond to a folder in the `snapshots` folder and is populated with
the exact tree structure as the repo on the Hub but contains only symlinks. A
revision can be either referenced by 1 or more `refs` or be "detached" (no refs).
Args:
commit_hash (`str`):
Hash of the revision (unique).
Example: `"9338f7b671827df886678df2bdd7cc7b4f36dffd"`.
snapshot_path (`Path`):
Path to the revision directory in the `snapshots` folder. It contains the
exact tree structure as the repo on the Hub.
files: (`FrozenSet[CachedFileInfo]`):
Set of [`~CachedFileInfo`] describing all files contained in the snapshot.
refs (`FrozenSet[str]`):
Set of `refs` pointing to this revision. If the revision has no `refs`, it
is considered detached.
Example: `{"main", "2.4.0"}` or `{"refs/pr/1"}`.
size_on_disk (`int`):
Sum of the blob file sizes that are symlink-ed by the revision.
last_modified (`float`):
Timestamp of the last time the revision has been created/modified.
`last_accessed` cannot be determined correctly on a single revision as blob files
are shared across revisions.
`size_on_disk` is not necessarily the sum of all file sizes because of possible
duplicated files. Besides, only blobs are taken into account, not the (negligible)
size of folders and symlinks.
commit_hash
snapshot_pathr filesrefs
last_modifiedr! c , [ U R 5 $ )z
(property) Timestamp of the last time the revision has been modified, returned
as a human-readable string.
Example: "2 weeks ago".
r# rG r$ s r& last_modified_str$CachedRevisionInfo.last_modified_str !!3!344r* c , [ U R 5 $ zV
(property) Sum of the blob file sizes as a human-readable string.
Example: "42.2K".
r/ r$ s r& r1 #CachedRevisionInfo.size_on_disk_str r3 r* c , [ U R 5 $ )z3
(property) Total number of files in the revision.
)lenrE r$ s r& nb_filesCachedRevisionInfo.nb_files s
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S \\\ 4 4S j5 rSrg)CachedRepoInfo a Frozen data structure holding information about a cached repository.
Args:
repo_id (`str`):
Repo id of the repo on the Hub. Example: `"google/fleurs"`.
repo_type (`Literal["dataset", "model", "space"]`):
Type of the cached repo.
repo_path (`Path`):
Local path to the cached repo.
size_on_disk (`int`):
Sum of the blob file sizes in the cached repo.
nb_files (`int`):
Total number of blob files in the cached repo.
revisions (`FrozenSet[CachedRevisionInfo]`):
Set of [`~CachedRevisionInfo`] describing all revisions cached in the repo.
last_accessed (`float`):
Timestamp of the last time a blob file of the repo has been accessed.
last_modified (`float`):
Timestamp of the last time a blob file of the repo has been modified/created.
`size_on_disk` is not necessarily the sum of all revisions sizes because of
duplicated files. Besides, only blobs are taken into account, not the (negligible)
size of folders and symlinks.
`last_accessed` and `last_modified` reliability can depend on the OS you are using.
See [python documentation](https://docs.python.org/3/library/os.html#os.stat_result)
for more details.
repo_id repo_type repo_pathr rR revisions
last_accessedrG r! c , [ U R 5 $ )z
(property) Last time a blob file of the repo has been accessed, returned as a
human-readable string.
Example: "2 weeks ago".
)r# r[ r$ s r& last_accessed_str CachedRepoInfo.last_accessed_str rL r* c , [ U R 5 $ )z
(property) Last time a blob file of the repo has been modified, returned as a
human-readable string.
Example: "2 weeks ago".
rI r$ s r& rJ CachedRepoInfo.last_modified_str rL r* c , [ U R 5 $ rN r/ r$ s r& r1 CachedRepoInfo.size_on_disk_str r3 r* c r U R VVs0 s H oR H o"U_M M snn$ s snnf )zA
(property) Mapping between `refs` and revision data structures.
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)DeleteCacheStrategyi a Frozen data structure holding the strategy to delete cached revisions.
This object is not meant to be instantiated programmatically but to be returned by
[`~utils.HFCacheInfo.delete_revisions`]. See documentation for usage example.
Args:
expected_freed_size (`float`):
Expected freed size once strategy is executed.
blobs (`FrozenSet[Path]`):
Set of blob file paths to be deleted.
refs (`FrozenSet[Path]`):
Set of reference file paths to be deleted.
repos (`FrozenSet[Path]`):
Set of entire repo paths to be deleted.
snapshots (`FrozenSet[Path]`):
Set of snapshots to be deleted (directory of symlinks).
expected_freed_sizeblobsrF repos snapshotsr! c , [ U R 5 $ )z\
(property) Expected size that will be freed as a human-readable string.
Example: "42.2K".
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implemented so that references and symlinks are deleted before the actual blob
files.
This method is irreversible. If executed, cached files are erased and must be
downloaded again.
repo) path_typesnapshotre blobzCache deletion done. Saved .N)rl _try_delete_pathrm rF rk loggerinforo )r% paths r& executeDeleteCacheStrategy.execute1 s . JJD TV 4 NND TZ 8 # IID TU 3 JJD TV 4 1$2N2N1OqQRr* r4 )r! N)r5 r6 r7 r8 r9 r< r; r r r> r: ro r{ r? r4 r* r& ri ri sV $ T?
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jjrSrg) HFCacheInfoiZ aD Frozen data structure holding information about the entire cache-system.
This data structure is returned by [`scan_cache_dir`] and is immutable.
Args:
size_on_disk (`int`):
Sum of all valid repo sizes in the cache-system.
repos (`FrozenSet[CachedRepoInfo]`):
Set of [`~CachedRepoInfo`] describing all valid cached repos found on the
cache-system while scanning.
warnings (`List[CorruptedCacheException]`):
List of [`~CorruptedCacheException`] that occurred while scanning the cache.
Those exceptions are captured so that the scan can continue. Corrupted repos
are skipped from the scan.
Here `size_on_disk` is equal to the sum of all repo sizes (only blobs). However if
some cached repos are corrupted, their sizes are not taken into account.
r rl warningsr! c , [ U R 5 $ )zk
(property) Sum of all valid repo sizes in the cache-system as a human-readable
string.
Example: "42.2K".
r/ r$ s r& r1 HFCacheInfo.size_on_disk_strw s D - -..r* rZ c [ U5 n[ [ 5 nU R HV nUR HC nUR U; d M X4 R U5 UR
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S9$ )a Prepare the strategy to delete one or more revisions cached locally.
Input revisions can be any revision hash. If a revision hash is not found in the
local cache, a warning is thrown but no error is raised. Revisions can be from
different cached repos since hashes are unique across repos,
Examples:
```py
>>> from huggingface_hub import scan_cache_dir
>>> cache_info = scan_cache_dir()
>>> delete_strategy = cache_info.delete_revisions(
... "81fd1d6e7847c99f5862c9fb81387956d99ec7aa"
... )
>>> print(f"Will free {delete_strategy.expected_freed_size_str}.")
Will free 7.9K.
>>> delete_strategy.execute()
Cache deletion done. Saved 7.9K.
```
```py
>>> from huggingface_hub import scan_cache_dir
>>> scan_cache_dir().delete_revisions(
... "81fd1d6e7847c99f5862c9fb81387956d99ec7aa",
... "e2983b237dccf3ab4937c97fa717319a9ca1a96d",
... "6c0e6080953db56375760c0471a8c5f2929baf11",
... ).execute()
Cache deletion done. Saved 8.6G.
```
`delete_revisions` returns a [`~utils.DeleteCacheStrategy`] object that needs to
be executed. The [`~utils.DeleteCacheStrategy`] is not meant to be modified but
allows having a dry run before actually executing the deletion.
r z,Revision(s) not found - cannot delete them: , rF TF)rk rF rl rm rj )setr rl rZ rC addremoverQ rx warningjoinitemsrY r rD rF rE r ri frozenset)r% rZ hashes_to_deleterepos_with_revisionsrr rd delete_strategy_blobsdelete_strategy_refsdelete_strategy_reposdelete_strategy_snapshots#delete_strategy_expected_freed_size
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is_file_alonerev_files r& delete_revisions HFCacheInfo.delete_revisions s1 L &)^NYZ]N^ JJD NN''+;;(.228<$++H,@,@A + 1 $ NN I$))TdJeIfg h+.5 *-% +.5 /2u!./+2F2L2L2N .M + 5 58K KO ?#q(%))-*A*AB37Q7QQ3 ':")--.@.N.NO .22C(,,]-D-Dv-MPS-ST 3 / 4 4D~~-BB(,
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r* r ) verbosityr c B US:X a [ [ U R S S9 Vs/ s H nUR UR SR UR 5 UR UR UR SR [ UR 5 5 [ UR 5 /PM sn/ SQS9$ [ [ U R S S9 VVs/ s H n[ UR S S9 H nUR UR UR SR UR 5 UR UR SR [ UR 5 5 [ UR 5 /PM M snn/ S
QS9$ s snf s snnf ) a Generate a table from the [`HFCacheInfo`] object.
Pass `verbosity=0` to get a table with a single row per repo, with columns
"repo_id", "repo_type", "size_on_disk", "nb_files", "last_accessed", "last_modified", "refs", "local_path".
Pass `verbosity=1` to get a table with a row per repo and revision (thus multiple rows can appear for a single repo), with columns
"repo_id", "repo_type", "revision", "size_on_disk", "nb_files", "last_modified", "refs", "local_path".
Example:
```py
>>> from huggingface_hub.utils import scan_cache_dir
>>> hf_cache_info = scan_cache_dir()
HFCacheInfo(...)
>>> print(hf_cache_info.export_as_table())
REPO ID REPO TYPE SIZE ON DISK NB FILES LAST_ACCESSED LAST_MODIFIED REFS LOCAL PATH
--------------------------------------------------- --------- ------------ -------- ------------- ------------- ---- --------------------------------------------------------------------------------------------------
roberta-base model 2.7M 5 1 day ago 1 week ago main ~/.cache/huggingface/hub/models--roberta-base
suno/bark model 8.8K 1 1 week ago 1 week ago main ~/.cache/huggingface/hub/models--suno--bark
t5-base model 893.8M 4 4 days ago 7 months ago main ~/.cache/huggingface/hub/models--t5-base
t5-large model 3.0G 4 5 weeks ago 5 months ago main ~/.cache/huggingface/hub/models--t5-large
>>> print(hf_cache_info.export_as_table(verbosity=1))
REPO ID REPO TYPE REVISION SIZE ON DISK NB FILES LAST_MODIFIED REFS LOCAL PATH
--------------------------------------------------- --------- ---------------------------------------- ------------ -------- ------------- ---- -----------------------------------------------------------------------------------------------------------------------------------------------------
roberta-base model e2da8e2f811d1448a5b465c236feacd80ffbac7b 2.7M 5 1 week ago main ~/.cache/huggingface/hub/models--roberta-base/snapshots/e2da8e2f811d1448a5b465c236feacd80ffbac7b
suno/bark model 70a8a7d34168586dc5d028fa9666aceade177992 8.8K 1 1 week ago main ~/.cache/huggingface/hub/models--suno--bark/snapshots/70a8a7d34168586dc5d028fa9666aceade177992
t5-base model a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1 893.8M 4 7 months ago main ~/.cache/huggingface/hub/models--t5-base/snapshots/a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1
t5-large model 150ebc2c4b72291e770f58e6057481c8d2ed331a 3.0G 4 5 months ago main ~/.cache/huggingface/hub/models--t5-large/snapshots/150ebc2c4b72291e770f58e6057481c8d2ed331a
```
Args:
verbosity (`int`, *optional*):
The verbosity level. Defaults to 0.
Returns:
`str`: The table as a string.
r c U R $ NrY rr s r& -HFCacheInfo.export_as_table.. DNNr* )keyz{:>12}r )REPO ID REPO TYPE SIZE ON DISKNB FILES
LAST_ACCESSED
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LOCAL PATH)rowsheadersc U R $ r r r s r& r r 7 r r* c U R $ r )rC )rd s r& r r 8 s PXPdPdr* )r r REVISIONr r r r r )r sortedrl rW rX formatr1 rR r] rJ r rF r: rY rZ rC rD )r% r rr rd s r& export_as_tableHFCacheInfo.export_as_table sr P > !'tzz7R S !T (=(=>
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Scan the entire HF cache-system and return a [`~HFCacheInfo`] structure.
Use `scan_cache_dir` in order to programmatically scan your cache-system. The cache
will be scanned repo by repo. If a repo is corrupted, a [`~CorruptedCacheException`]
will be thrown internally but captured and returned in the [`~HFCacheInfo`]
structure. Only valid repos get a proper report.
```py
>>> from huggingface_hub import scan_cache_dir
>>> hf_cache_info = scan_cache_dir()
HFCacheInfo(
size_on_disk=3398085269,
repos=frozenset({
CachedRepoInfo(
repo_id='t5-small',
repo_type='model',
repo_path=PosixPath(...),
size_on_disk=970726914,
nb_files=11,
revisions=frozenset({
CachedRevisionInfo(
commit_hash='d78aea13fa7ecd06c29e3e46195d6341255065d5',
size_on_disk=970726339,
snapshot_path=PosixPath(...),
files=frozenset({
CachedFileInfo(
file_name='config.json',
size_on_disk=1197
file_path=PosixPath(...),
blob_path=PosixPath(...),
),
CachedFileInfo(...),
...
}),
),
CachedRevisionInfo(...),
...
}),
),
CachedRepoInfo(...),
...
}),
warnings=[
CorruptedCacheException("Snapshots dir doesn't exist in cached repo: ..."),
CorruptedCacheException(...),
...
],
)
```
You can also print a detailed report directly from the `huggingface-cli` using:
```text
> huggingface-cli scan-cache
REPO ID REPO TYPE SIZE ON DISK NB FILES REFS LOCAL PATH
--------------------------- --------- ------------ -------- ------------------- -------------------------------------------------------------------------
glue dataset 116.3K 15 1.17.0, main, 2.4.0 /Users/lucain/.cache/huggingface/hub/datasets--glue
google/fleurs dataset 64.9M 6 main, refs/pr/1 /Users/lucain/.cache/huggingface/hub/datasets--google--fleurs
Jean-Baptiste/camembert-ner model 441.0M 7 main /Users/lucain/.cache/huggingface/hub/models--Jean-Baptiste--camembert-ner
bert-base-cased model 1.9G 13 main /Users/lucain/.cache/huggingface/hub/models--bert-base-cased
t5-base model 10.1K 3 main /Users/lucain/.cache/huggingface/hub/models--t5-base
t5-small model 970.7M 11 refs/pr/1, main /Users/lucain/.cache/huggingface/hub/models--t5-small
Done in 0.0s. Scanned 6 repo(s) for a total of 3.4G.
Got 1 warning(s) while scanning. Use -vvv to print details.
```
Args:
cache_dir (`str` or `Path`, `optional`):
Cache directory to cache. Defaults to the default HF cache directory.
Raises:
`CacheNotFound`
If the cache directory does not exist.
[`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError)
If the cache directory is a file, instead of a directory.
Returns: a [`~HFCacheInfo`] object.
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5 [; S TR? 5 5 5 UUS 9$ ! , ( d f GN= f) z~Scan a single cache repo and return information about it.
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