Add files using upload-large-folder tool

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+lm-evaluation-harness/wandb/run-20240608_122925-vmbmpokf/run-vmbmpokf.wandb filter=lfs diff=lfs merge=lfs -text

ckpts/universal/global_step20/zero/26.mlp.dense_h_to_4h_swiglu.weight/exp_avg.pt

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lm-evaluation-harness/wandb/run-20240514_163424-gpqnyvgo/files/output.log

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+
+2024-05-14:16:34:25,093 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-14:16:34:30,618 INFO     [__main__.py:335] Selected Tasks: ['indiccopa-hi']
+2024-05-14:16:34:30,622 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-14:16:34:30,622 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step100'}
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/core/register.py:145: UserWarning: "hpu:X" notation is not supported by Gaudi PyTorch intergration bridge. Please change to "hpu" without index (Triggered internally at /npu-stack/pytorch-integration/pytorch_helpers/lazy_to_backend.cpp:53.)
+  return func(*args, **kwargs)
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
+  warnings.warn(
+[2024-05-14 16:34:41,218] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
+  warnings.warn(
+You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
+2024-05-14:16:34:41,617 WARNING  [task.py:763] [Task: indiccopa-hi] metric acc is defined, but aggregation is not. using default aggregation=mean
+2024-05-14:16:34:41,617 WARNING  [task.py:775] [Task: indiccopa-hi] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
+/usr/local/lib/python3.10/dist-packages/datasets/load.py:1486: FutureWarning: The repository for ai4bharat/IndicCOPA contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/ai4bharat/IndicCOPA
+You can avoid this message in future by passing the argument `trust_remote_code=True`.
+Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
+  warnings.warn(
+2024-05-14:16:34:42,858 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-14:16:34:42,858 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-14:16:34:42,879 INFO     [task.py:395] Building contexts for indiccopa-hi on rank 5...
+100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 56/56 [00:00<00:00, 96698.65it/s]
+2024-05-14:16:34:44,718 INFO     [evaluator.py:379] Running loglikelihood requests
+Passed argument batch_size = auto:1. Detecting largest batch size
+Determined largest batch size: 64
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
+  warnings.warn(

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lm-evaluation-harness/wandb/run-20240523_080306-xred40sp/files/config.yaml

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+wandb_version: 1
+
+_wandb:
+  desc: null
+  value:
+    python_version: 3.10.12
+    cli_version: 0.17.0
+    framework: huggingface
+    huggingface_version: 4.41.1
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    start_time: 1716451386
+    t:
+      1:
+      - 1
+      - 5
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+      - 100
+      2:
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+      - 5
+      - 11
+      - 49
+      - 51
+      - 53
+      - 55
+      - 71
+      - 98
+      - 100
+      3:
+      - 23
+      4: 3.10.12
+      5: 0.17.0
+      6: 4.41.1
+      8:
+      - 5
+      13: linux-x86_64

lm-evaluation-harness/wandb/run-20240523_080306-xred40sp/files/output.log

@@ -0,0 +1,34 @@
+
+2024-05-23:08:03:06,984 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-23:08:03:16,143 INFO     [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
+2024-05-23:08:03:16,144 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-23:08:03:16,144 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step28000'}
+2024-05-23:08:03:18,451 INFO     [huggingface.py:164] Using device 'cuda'
+Traceback (most recent call last):
+  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
+    cli_evaluate()
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
+    return fn(*args, **kwargs)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._get_config(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
+    self._config = transformers.AutoConfig.from_pretrained(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
+    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
+    raise EnvironmentError(
+OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step28000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step28000/tree/main' for available files.

lm-evaluation-harness/wandb/run-20240523_080306-xred40sp/files/requirements.txt

@@ -0,0 +1,155 @@
+DataProperty==1.0.1
+GitPython==3.1.43
+Jinja2==3.1.4
+Markdown==3.6
+MarkupSafe==2.1.5
+Pillow-SIMD==7.0.0.post3
+PyYAML==6.0
+Werkzeug==3.0.3
+absl-py==2.1.0
+accelerate==0.30.1
+aiohttp==3.9.5
+aiosignal==1.3.1
+async-timeout==4.0.3
+attrs==23.2.0
+av==9.2.0
+cachetools==5.3.3
+certifi==2024.2.2
+cffi==1.15.1
+cfgv==3.4.0
+chardet==5.2.0
+charset-normalizer==3.3.2
+click==8.1.7
+cmake==3.29.2
+colorama==0.4.6
+datasets==2.19.1
+deepspeed==0.12.4+hpu.synapse.v1.15.1
+dill==0.3.8
+distlib==0.3.8
+docker-pycreds==0.4.0
+einops==0.8.0
+evaluate==0.4.2
+exceptiongroup==1.2.1
+expecttest==0.2.1
+filelock==3.14.0
+frozenlist==1.4.1
+fsspec==2024.3.1
+gitdb==4.0.11
+google-auth-oauthlib==0.4.6
+google-auth==2.29.0
+grpcio==1.63.0
+habana-media-loader==1.15.1.15
+habana-pyhlml==1.15.1.15
+habana-torch-dataloader==1.15.1.15
+habana-torch-plugin==1.15.1.15
+habana_gpu_migration==1.15.1.15
+habana_quantization_toolkit==1.15.1.15
+hjson==3.1.0
+huggingface-hub==0.23.1
+identify==2.5.36
+idna==3.7
+iniconfig==2.0.0
+joblib==1.4.2
+jsonlines==4.0.0
+lightning-habana==1.4.0
+lightning-utilities==0.11.2
+lightning==2.2.0.post0
+lm_eval==0.4.2
+lm_eval==0.4.2
+lm_eval==0.4.2
+lxml==5.2.2
+mbstrdecoder==1.1.3
+more-itertools==10.2.0
+mpi4py==3.1.4
+mpmath==1.3.0
+multidict==6.0.5
+multiprocess==0.70.16
+networkx==3.3
+ninja==1.11.1.1
+nltk==3.8.1
+nodeenv==1.8.0
+numexpr==2.10.0
+numpy==1.23.5
+oauthlib==3.2.2
+packaging==24.0
+pandas==2.0.1
+pathspec==0.12.1
+pathvalidate==3.2.0
+peft==0.11.1
+perfetto==0.7.0
+pillow==10.3.0
+pip==22.0.2
+pip==23.3.1
+platformdirs==4.2.1
+pluggy==1.5.0
+portalocker==2.8.2
+pre-commit==3.3.3
+pretty-errors==1.2.25
+protobuf==3.20.3
+psutil==5.9.8
+py-cpuinfo==9.0.0
+pyarrow-hotfix==0.6
+pyarrow==16.1.0
+pyasn1==0.6.0
+pyasn1_modules==0.4.0
+pybind11==2.10.4
+pycparser==2.22
+pydantic==1.10.13
+pynvml==8.0.4
+pytablewriter==1.2.0
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lm-evaluation-harness/wandb/run-20240523_123859-6ht0x2b2/files/config.yaml

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+_wandb:
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+    cli_version: 0.17.0
+    framework: huggingface
+    huggingface_version: 4.41.1
+    is_jupyter_run: false
+    is_kaggle_kernel: false
+    start_time: 1716467939
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lm-evaluation-harness/wandb/run-20240523_123859-6ht0x2b2/files/output.log

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+
+2024-05-23:12:39:00,583 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-23:12:39:09,234 INFO     [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
+2024-05-23:12:39:09,235 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-23:12:39:09,235 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step6000'}
+2024-05-23:12:39:11,778 INFO     [huggingface.py:164] Using device 'cuda'
+Traceback (most recent call last):
+  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
+    cli_evaluate()
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
+    return fn(*args, **kwargs)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._get_config(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
+    self._config = transformers.AutoConfig.from_pretrained(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
+    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
+    raise EnvironmentError(
+OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step6000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step6000/tree/main' for available files.

lm-evaluation-harness/wandb/run-20240523_123859-6ht0x2b2/files/requirements.txt

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+GitPython==3.1.43
+Jinja2==3.1.4
+Markdown==3.6
+MarkupSafe==2.1.5
+Pillow-SIMD==7.0.0.post3
+PyYAML==6.0
+Werkzeug==3.0.3
+absl-py==2.1.0
+accelerate==0.30.1
+aiohttp==3.9.5
+aiosignal==1.3.1
+async-timeout==4.0.3
+attrs==23.2.0
+av==9.2.0
+cachetools==5.3.3
+certifi==2024.2.2
+cffi==1.15.1
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lm-evaluation-harness/wandb/run-20240608_122925-vmbmpokf/run-vmbmpokf.wandb

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d6505aee9b094c1fb265311bb8aac60a155eb9fea8c9dc21dd2cf85edd6aafba
+size 1293291

venv/lib/python3.10/site-packages/portalocker/__about__.py

@@ -0,0 +1,6 @@
+__package_name__ = 'portalocker'
+__author__ = 'Rick van Hattem'
+__email__ = '[email protected]'
+__version__ = '2.8.2'
+__description__ = '''Wraps the portalocker recipe for easy usage'''
+__url__ = 'https://github.com/WoLpH/portalocker'

venv/lib/python3.10/site-packages/portalocker/__init__.py

@@ -0,0 +1,76 @@
+from . import __about__, constants, exceptions, portalocker, utils
+
+try:  # pragma: no cover
+    from .redis import RedisLock
+except ImportError:  # pragma: no cover
+    RedisLock = None  # type: ignore
+
+
+#: The package name on Pypi
+__package_name__ = __about__.__package_name__
+#: Current author and maintainer, view the git history for the previous ones
+__author__ = __about__.__author__
+#: Current author's email address
+__email__ = __about__.__email__
+#: Version number
+__version__ = '2.8.2'
+#: Package description for Pypi
+__description__ = __about__.__description__
+#: Package homepage
+__url__ = __about__.__url__
+
+
+#: Exception thrown when the file is already locked by someone else
+AlreadyLocked = exceptions.AlreadyLocked
+#: Exception thrown if an error occurred during locking
+LockException = exceptions.LockException
+
+
+#: Lock a file. Note that this is an advisory lock on Linux/Unix systems
+lock = portalocker.lock
+#: Unlock a file
+unlock = portalocker.unlock
+
+#: Place an exclusive lock.
+#: Only one process may hold an exclusive lock for a given file at a given
+#: time.
+LOCK_EX: constants.LockFlags = constants.LockFlags.EXCLUSIVE
+
+#: Place a shared lock.
+#: More than one process may hold a shared lock for a given file at a given
+#: time.
+LOCK_SH: constants.LockFlags = constants.LockFlags.SHARED
+
+#: Acquire the lock in a non-blocking fashion.
+LOCK_NB: constants.LockFlags = constants.LockFlags.NON_BLOCKING
+
+#: Remove an existing lock held by this process.
+LOCK_UN: constants.LockFlags = constants.LockFlags.UNBLOCK
+
+#: Locking flags enum
+LockFlags = constants.LockFlags
+
+#: Locking utility class to automatically handle opening with timeouts and
+#: context wrappers
+Lock = utils.Lock
+RLock = utils.RLock
+BoundedSemaphore = utils.BoundedSemaphore
+TemporaryFileLock = utils.TemporaryFileLock
+open_atomic = utils.open_atomic
+
+__all__ = [
+    'lock',
+    'unlock',
+    'LOCK_EX',
+    'LOCK_SH',
+    'LOCK_NB',
+    'LOCK_UN',
+    'LockFlags',
+    'LockException',
+    'Lock',
+    'RLock',
+    'AlreadyLocked',
+    'BoundedSemaphore',
+    'open_atomic',
+    'RedisLock',
+]

venv/lib/python3.10/site-packages/portalocker/__main__.py

@@ -0,0 +1,98 @@
+import argparse
+import logging
+import os
+import pathlib
+import re
+
+base_path = pathlib.Path(__file__).parent.parent
+src_path = base_path / 'portalocker'
+dist_path = base_path / 'dist'
+_default_output_path = base_path / 'dist' / 'portalocker.py'
+
+_RELATIVE_IMPORT_RE = re.compile(r'^from \. import (?P<names>.+)$')
+_USELESS_ASSIGNMENT_RE = re.compile(r'^(?P<name>\w+) = \1\n$')
+
+_TEXT_TEMPLATE = """'''
+{}
+'''
+
+"""
+
+logger = logging.getLogger(__name__)
+
+
+def main(argv=None):
+    parser = argparse.ArgumentParser()
+
+    subparsers = parser.add_subparsers(required=True)
+    combine_parser = subparsers.add_parser(
+        'combine',
+        help='Combine all Python files into a single unified `portalocker.py` '
+        'file for easy distribution',
+    )
+    combine_parser.add_argument(
+        '--output-file',
+        '-o',
+        type=argparse.FileType('w'),
+        default=str(_default_output_path),
+    )
+
+    combine_parser.set_defaults(func=combine)
+    args = parser.parse_args(argv)
+    args.func(args)
+
+
+def _read_file(path, seen_files):
+    if path in seen_files:
+        return
+
+    names = set()
+    seen_files.add(path)
+    for line in path.open():
+        if match := _RELATIVE_IMPORT_RE.match(line):
+            for name in match.group('names').split(','):
+                name = name.strip()
+                names.add(name)
+                yield from _read_file(src_path / f'{name}.py', seen_files)
+        else:
+            yield _clean_line(line, names)
+
+
+def _clean_line(line, names):
+    # Replace `some_import.spam` with `spam`
+    if names:
+        joined_names = '|'.join(names)
+        line = re.sub(fr'\b({joined_names})\.', '', line)
+
+    # Replace useless assignments (e.g. `spam = spam`)
+    return _USELESS_ASSIGNMENT_RE.sub('', line)
+
+
+def combine(args):
+    output_file = args.output_file
+    pathlib.Path(output_file.name).parent.mkdir(parents=True, exist_ok=True)
+
+    output_file.write(
+        _TEXT_TEMPLATE.format((base_path / 'README.rst').read_text()),
+    )
+    output_file.write(
+        _TEXT_TEMPLATE.format((base_path / 'LICENSE').read_text()),
+    )
+
+    seen_files = set()
+    for line in _read_file(src_path / '__init__.py', seen_files):
+        output_file.write(line)
+
+    output_file.flush()
+    output_file.close()
+
+    logger.info(f'Wrote combined file to {output_file.name}')
+    # Run black and ruff if available. If not then just run the file.
+    os.system(f'black {output_file.name}')
+    os.system(f'ruff --fix {output_file.name}')
+    os.system(f'python3 {output_file.name}')
+
+
+if __name__ == '__main__':
+    logging.basicConfig(level=logging.INFO)
+    main()

venv/lib/python3.10/site-packages/portalocker/constants.py

@@ -0,0 +1,58 @@
+'''
+Locking constants
+
+Lock types:
+
+- `EXCLUSIVE` exclusive lock
+- `SHARED` shared lock
+
+Lock flags:
+
+- `NON_BLOCKING` non-blocking
+
+Manually unlock, only needed internally
+
+- `UNBLOCK` unlock
+'''
+import enum
+import os
+
+# The actual tests will execute the code anyhow so the following code can
+# safely be ignored from the coverage tests
+if os.name == 'nt':  # pragma: no cover
+    import msvcrt
+
+    #: exclusive lock
+    LOCK_EX = 0x1
+    #: shared lock
+    LOCK_SH = 0x2
+    #: non-blocking
+    LOCK_NB = 0x4
+    #: unlock
+    LOCK_UN = msvcrt.LK_UNLCK  # type: ignore
+
+elif os.name == 'posix':  # pragma: no cover
+    import fcntl
+
+    #: exclusive lock
+    LOCK_EX = fcntl.LOCK_EX
+    #: shared lock
+    LOCK_SH = fcntl.LOCK_SH
+    #: non-blocking
+    LOCK_NB = fcntl.LOCK_NB
+    #: unlock
+    LOCK_UN = fcntl.LOCK_UN
+
+else:  # pragma: no cover
+    raise RuntimeError('PortaLocker only defined for nt and posix platforms')
+
+
+class LockFlags(enum.IntFlag):
+    #: exclusive lock
+    EXCLUSIVE = LOCK_EX
+    #: shared lock
+    SHARED = LOCK_SH
+    #: non-blocking
+    NON_BLOCKING = LOCK_NB
+    #: unlock
+    UNBLOCK = LOCK_UN

venv/lib/python3.10/site-packages/portalocker/exceptions.py

@@ -0,0 +1,27 @@
+import typing
+
+
+class BaseLockException(Exception):  # noqa: N818
+    # Error codes:
+    LOCK_FAILED = 1
+
+    def __init__(
+        self,
+        *args: typing.Any,
+        fh: typing.Union[typing.IO, None, int] = None,
+        **kwargs: typing.Any,
+    ) -> None:
+        self.fh = fh
+        Exception.__init__(self, *args)
+
+
+class LockException(BaseLockException):
+    pass
+
+
+class AlreadyLocked(LockException):
+    pass
+
+
+class FileToLarge(LockException):
+    pass

venv/lib/python3.10/site-packages/portalocker/portalocker.py

@@ -0,0 +1,117 @@
+import contextlib
+import os
+import typing
+
+from . import constants, exceptions
+
+# Alias for readability. Due to import recursion issues we cannot do:
+# from .constants import LockFlags
+LockFlags = constants.LockFlags
+
+
+if os.name == 'nt':  # pragma: no cover
+    import msvcrt
+
+    import pywintypes
+    import win32con
+    import win32file
+    import winerror
+
+    __overlapped = pywintypes.OVERLAPPED()
+
+    def lock(file_: typing.Union[typing.IO, int], flags: LockFlags):
+        # Windows locking does not support locking through `fh.fileno()` so
+        # we cast it to make mypy and pyright happy
+        file_ = typing.cast(typing.IO, file_)
+
+        mode = 0
+        if flags & LockFlags.NON_BLOCKING:
+            mode |= win32con.LOCKFILE_FAIL_IMMEDIATELY
+
+        if flags & LockFlags.EXCLUSIVE:
+            mode |= win32con.LOCKFILE_EXCLUSIVE_LOCK
+
+        # Save the old position so we can go back to that position but
+        # still lock from the beginning of the file
+        savepos = file_.tell()
+        if savepos:
+            file_.seek(0)
+
+        os_fh = msvcrt.get_osfhandle(file_.fileno())  # type: ignore
+        try:
+            win32file.LockFileEx(os_fh, mode, 0, -0x10000, __overlapped)
+        except pywintypes.error as exc_value:
+            # error: (33, 'LockFileEx', 'The process cannot access the file
+            # because another process has locked a portion of the file.')
+            if exc_value.winerror == winerror.ERROR_LOCK_VIOLATION:
+                raise exceptions.AlreadyLocked(
+                    exceptions.LockException.LOCK_FAILED,
+                    exc_value.strerror,
+                    fh=file_,
+                ) from exc_value
+            else:
+                # Q:  Are there exceptions/codes we should be dealing with
+                # here?
+                raise
+        finally:
+            if savepos:
+                file_.seek(savepos)
+
+    def unlock(file_: typing.IO):
+        try:
+            savepos = file_.tell()
+            if savepos:
+                file_.seek(0)
+
+            os_fh = msvcrt.get_osfhandle(file_.fileno())  # type: ignore
+            try:
+                win32file.UnlockFileEx(
+                    os_fh,
+                    0,
+                    -0x10000,
+                    __overlapped,
+                )
+            except pywintypes.error as exc:
+                if exc.winerror != winerror.ERROR_NOT_LOCKED:
+                    # Q:  Are there exceptions/codes we should be
+                    # dealing with here?
+                    raise
+            finally:
+                if savepos:
+                    file_.seek(savepos)
+        except OSError as exc:
+            raise exceptions.LockException(
+                exceptions.LockException.LOCK_FAILED,
+                exc.strerror,
+                fh=file_,
+            ) from exc
+
+elif os.name == 'posix':  # pragma: no cover
+    import fcntl
+
+    def lock(file_: typing.Union[typing.IO, int], flags: LockFlags):
+        locking_exceptions = (IOError,)
+        with contextlib.suppress(NameError):
+            locking_exceptions += (BlockingIOError,)  # type: ignore
+        # Locking with NON_BLOCKING without EXCLUSIVE or SHARED enabled results
+        # in an error
+        if (flags & LockFlags.NON_BLOCKING) and not flags & (
+            LockFlags.SHARED | LockFlags.EXCLUSIVE
+        ):
+            raise RuntimeError(
+                'When locking in non-blocking mode the SHARED '
+                'or EXCLUSIVE flag must be specified as well',
+            )
+
+        try:
+            fcntl.flock(file_, flags)
+        except locking_exceptions as exc_value:
+            # The exception code varies on different systems so we'll catch
+            # every IO error
+            raise exceptions.LockException(exc_value, fh=file_) from exc_value
+
+    def unlock(file_: typing.IO):
+        fcntl.flock(file_.fileno(), LockFlags.UNBLOCK)
+
+else:  # pragma: no cover
+    raise RuntimeError('PortaLocker only defined for nt and posix platforms')

venv/lib/python3.10/site-packages/portalocker/redis.py

@@ -0,0 +1,236 @@
+import _thread
+import json
+import logging
+import random
+import time
+import typing
+
+from redis import client
+
+from . import exceptions, utils
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_UNAVAILABLE_TIMEOUT = 1
+DEFAULT_THREAD_SLEEP_TIME = 0.1
+
+
+class PubSubWorkerThread(client.PubSubWorkerThread):  # type: ignore
+    def run(self):
+        try:
+            super().run()
+        except Exception:  # pragma: no cover
+            _thread.interrupt_main()
+            raise
+
+
+class RedisLock(utils.LockBase):
+    '''
+    An extremely reliable Redis lock based on pubsub with a keep-alive thread
+
+    As opposed to most Redis locking systems based on key/value pairs,
+    this locking method is based on the pubsub system. The big advantage is
+    that if the connection gets killed due to network issues, crashing
+    processes or otherwise, it will still immediately unlock instead of
+    waiting for a lock timeout.
+
+    To make sure both sides of the lock know about the connection state it is
+    recommended to set the `health_check_interval` when creating the redis
+    connection..
+
+    Args:
+        channel: the redis channel to use as locking key.
+        connection: an optional redis connection if you already have one
+        or if you need to specify the redis connection
+        timeout: timeout when trying to acquire a lock
+        check_interval: check interval while waiting
+        fail_when_locked: after the initial lock failed, return an error
+            or lock the file. This does not wait for the timeout.
+        thread_sleep_time: sleep time between fetching messages from redis to
+            prevent a busy/wait loop. In the case of lock conflicts this
+            increases the time it takes to resolve the conflict. This should
+            be smaller than the `check_interval` to be useful.
+        unavailable_timeout: If the conflicting lock is properly connected
+            this should never exceed twice your redis latency. Note that this
+            will increase the wait time possibly beyond your `timeout` and is
+            always executed if a conflict arises.
+        redis_kwargs: The redis connection arguments if no connection is
+            given. The `DEFAULT_REDIS_KWARGS` are used as default, if you want
+            to override these you need to explicitly specify a value (e.g.
+            `health_check_interval=0`)
+
+    '''
+
+    redis_kwargs: typing.Dict[str, typing.Any]
+    thread: typing.Optional[PubSubWorkerThread]
+    channel: str
+    timeout: float
+    connection: typing.Optional[client.Redis]
+    pubsub: typing.Optional[client.PubSub] = None
+    close_connection: bool
+
+    DEFAULT_REDIS_KWARGS: typing.ClassVar[typing.Dict[str, typing.Any]] = dict(
+        health_check_interval=10,
+    )
+
+    def __init__(
+        self,
+        channel: str,
+        connection: typing.Optional[client.Redis] = None,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = False,
+        thread_sleep_time: float = DEFAULT_THREAD_SLEEP_TIME,
+        unavailable_timeout: float = DEFAULT_UNAVAILABLE_TIMEOUT,
+        redis_kwargs: typing.Optional[typing.Dict] = None,
+    ):
+        # We don't want to close connections given as an argument
+        self.close_connection = not connection
+
+        self.thread = None
+        self.channel = channel
+        self.connection = connection
+        self.thread_sleep_time = thread_sleep_time
+        self.unavailable_timeout = unavailable_timeout
+        self.redis_kwargs = redis_kwargs or dict()
+
+        for key, value in self.DEFAULT_REDIS_KWARGS.items():
+            self.redis_kwargs.setdefault(key, value)
+
+        super().__init__(
+            timeout=timeout,
+            check_interval=check_interval,
+            fail_when_locked=fail_when_locked,
+        )
+
+    def get_connection(self) -> client.Redis:
+        if not self.connection:
+            self.connection = client.Redis(**self.redis_kwargs)
+
+        return self.connection
+
+    def channel_handler(self, message):
+        if message.get('type') != 'message':  # pragma: no cover
+            return
+
+        try:
+            data = json.loads(message.get('data'))
+        except TypeError:  # pragma: no cover
+            logger.debug('TypeError while parsing: %r', message)
+            return
+
+        assert self.connection is not None
+        self.connection.publish(data['response_channel'], str(time.time()))
+
+    @property
+    def client_name(self):
+        return f'{self.channel}-lock'
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ):
+        timeout = utils.coalesce(timeout, self.timeout, 0.0)
+        check_interval = utils.coalesce(
+            check_interval,
+            self.check_interval,
+            0.0,
+        )
+        fail_when_locked = utils.coalesce(
+            fail_when_locked,
+            self.fail_when_locked,
+        )
+
+        assert not self.pubsub, 'This lock is already active'
+        connection = self.get_connection()
+
+        timeout_generator = self._timeout_generator(timeout, check_interval)
+        for _ in timeout_generator:  # pragma: no branch
+            subscribers = connection.pubsub_numsub(self.channel)[0][1]
+
+            if subscribers:
+                logger.debug(
+                    'Found %d lock subscribers for %s',
+                    subscribers,
+                    self.channel,
+                )
+
+                if self.check_or_kill_lock(
+                    connection,
+                    self.unavailable_timeout,
+                ):  # pragma: no branch
+                    continue
+                else:  # pragma: no cover
+                    subscribers = 0
+
+            # Note: this should not be changed to an elif because the if
+            # above can still end up here
+            if not subscribers:
+                connection.client_setname(self.client_name)
+                self.pubsub = connection.pubsub()
+                self.pubsub.subscribe(**{self.channel: self.channel_handler})
+                self.thread = PubSubWorkerThread(
+                    self.pubsub,
+                    sleep_time=self.thread_sleep_time,
+                )
+                self.thread.start()
+
+                subscribers = connection.pubsub_numsub(self.channel)[0][1]
+                if subscribers == 1:  # pragma: no branch
+                    return self
+                else:  # pragma: no cover
+                    # Race condition, let's try again
+                    self.release()
+
+            if fail_when_locked:  # pragma: no cover
+                raise exceptions.AlreadyLocked(exceptions)
+
+        raise exceptions.AlreadyLocked(exceptions)
+
+    def check_or_kill_lock(self, connection, timeout):
+        # Random channel name to get messages back from the lock
+        response_channel = f'{self.channel}-{random.random()}'
+
+        pubsub = connection.pubsub()
+        pubsub.subscribe(response_channel)
+        connection.publish(
+            self.channel,
+            json.dumps(
+                dict(
+                    response_channel=response_channel,
+                    message='ping',
+                ),
+            ),
+        )
+
+        check_interval = min(self.thread_sleep_time, timeout / 10)
+        for _ in self._timeout_generator(
+            timeout,
+            check_interval,
+        ):  # pragma: no branch
+            if pubsub.get_message(timeout=check_interval):
+                pubsub.close()
+                return True
+
+        for client_ in connection.client_list('pubsub'):  # pragma: no cover
+            if client_.get('name') == self.client_name:
+                logger.warning('Killing unavailable redis client: %r', client_)
+                connection.client_kill_filter(client_.get('id'))
+        return None
+
+    def release(self):
+        if self.thread:  # pragma: no branch
+            self.thread.stop()
+            self.thread.join()
+            self.thread = None
+            time.sleep(0.01)
+
+        if self.pubsub:  # pragma: no branch
+            self.pubsub.unsubscribe(self.channel)
+            self.pubsub.close()
+            self.pubsub = None
+
+    def __del__(self):
+        self.release()

venv/lib/python3.10/site-packages/portalocker/utils.py

@@ -0,0 +1,563 @@
+import abc
+import atexit
+import contextlib
+import logging
+import os
+import pathlib
+import random
+import tempfile
+import time
+import typing
+import warnings
+
+from . import constants, exceptions, portalocker
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_TIMEOUT = 5
+DEFAULT_CHECK_INTERVAL = 0.25
+DEFAULT_FAIL_WHEN_LOCKED = False
+LOCK_METHOD = constants.LockFlags.EXCLUSIVE | constants.LockFlags.NON_BLOCKING
+
+__all__ = [
+    'Lock',
+    'open_atomic',
+]
+
+Filename = typing.Union[str, pathlib.Path]
+
+
+def coalesce(*args: typing.Any, test_value: typing.Any = None) -> typing.Any:
+    '''Simple coalescing function that returns the first value that is not
+    equal to the `test_value`. Or `None` if no value is valid. Usually this
+    means that the last given value is the default value.
+
+    Note that the `test_value` is compared using an identity check
+    (i.e. `value is not test_value`) so changing the `test_value` won't work
+    for all values.
+
+    >>> coalesce(None, 1)
+    1
+    >>> coalesce()
+
+    >>> coalesce(0, False, True)
+    0
+    >>> coalesce(0, False, True, test_value=0)
+    False
+
+    # This won't work because of the `is not test_value` type testing:
+    >>> coalesce([], dict(spam='eggs'), test_value=[])
+    []
+    '''
+    return next((arg for arg in args if arg is not test_value), None)
+
+
+@contextlib.contextmanager
+def open_atomic(
+    filename: Filename,
+    binary: bool = True,
+) -> typing.Iterator[typing.IO]:
+    '''Open a file for atomic writing. Instead of locking this method allows
+    you to write the entire file and move it to the actual location. Note that
+    this makes the assumption that a rename is atomic on your platform which
+    is generally the case but not a guarantee.
+
+    http://docs.python.org/library/os.html#os.rename
+
+    >>> filename = 'test_file.txt'
+    >>> if os.path.exists(filename):
+    ...     os.remove(filename)
+
+    >>> with open_atomic(filename) as fh:
+    ...     written = fh.write(b'test')
+    >>> assert os.path.exists(filename)
+    >>> os.remove(filename)
+
+    >>> import pathlib
+    >>> path_filename = pathlib.Path('test_file.txt')
+
+    >>> with open_atomic(path_filename) as fh:
+    ...     written = fh.write(b'test')
+    >>> assert path_filename.exists()
+    >>> path_filename.unlink()
+    '''
+    # `pathlib.Path` cast in case `path` is a `str`
+    path: pathlib.Path = pathlib.Path(filename)
+
+    assert not path.exists(), '%r exists' % path
+
+    # Create the parent directory if it doesn't exist
+    path.parent.mkdir(parents=True, exist_ok=True)
+
+    temp_fh = tempfile.NamedTemporaryFile(
+        mode=binary and 'wb' or 'w',
+        dir=str(path.parent),
+        delete=False,
+    )
+    yield temp_fh
+    temp_fh.flush()
+    os.fsync(temp_fh.fileno())
+    temp_fh.close()
+    try:
+        os.rename(temp_fh.name, path)
+    finally:
+        with contextlib.suppress(Exception):
+            os.remove(temp_fh.name)
+
+
+class LockBase(abc.ABC):  # pragma: no cover
+    #: timeout when trying to acquire a lock
+    timeout: float
+    #: check interval while waiting for `timeout`
+    check_interval: float
+    #: skip the timeout and immediately fail if the initial lock fails
+    fail_when_locked: bool
+
+    def __init__(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ):
+        self.timeout = coalesce(timeout, DEFAULT_TIMEOUT)
+        self.check_interval = coalesce(check_interval, DEFAULT_CHECK_INTERVAL)
+        self.fail_when_locked = coalesce(
+            fail_when_locked,
+            DEFAULT_FAIL_WHEN_LOCKED,
+        )
+
+    @abc.abstractmethod
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ):
+        return NotImplemented
+
+    def _timeout_generator(
+        self,
+        timeout: typing.Optional[float],
+        check_interval: typing.Optional[float],
+    ) -> typing.Iterator[int]:
+        f_timeout = coalesce(timeout, self.timeout, 0.0)
+        f_check_interval = coalesce(check_interval, self.check_interval, 0.0)
+
+        yield 0
+        i = 0
+
+        start_time = time.perf_counter()
+        while start_time + f_timeout > time.perf_counter():
+            i += 1
+            yield i
+
+            # Take low lock checks into account to stay within the interval
+            since_start_time = time.perf_counter() - start_time
+            time.sleep(max(0.001, (i * f_check_interval) - since_start_time))
+
+    @abc.abstractmethod
+    def release(self):
+        return NotImplemented
+
+    def __enter__(self):
+        return self.acquire()
+
+    def __exit__(
+        self,
+        exc_type: typing.Optional[typing.Type[BaseException]],
+        exc_value: typing.Optional[BaseException],
+        traceback: typing.Any,  # Should be typing.TracebackType
+    ) -> typing.Optional[bool]:
+        self.release()
+        return None
+
+    def __delete__(self, instance):
+        instance.release()
+
+
+class Lock(LockBase):
+    '''Lock manager with built-in timeout
+
+    Args:
+        filename: filename
+        mode: the open mode, 'a' or 'ab' should be used for writing. When mode
+            contains `w` the file will be truncated to 0 bytes.
+        timeout: timeout when trying to acquire a lock
+        check_interval: check interval while waiting
+        fail_when_locked: after the initial lock failed, return an error
+            or lock the file. This does not wait for the timeout.
+        **file_open_kwargs: The kwargs for the `open(...)` call
+
+    fail_when_locked is useful when multiple threads/processes can race
+    when creating a file. If set to true than the system will wait till
+    the lock was acquired and then return an AlreadyLocked exception.
+
+    Note that the file is opened first and locked later. So using 'w' as
+    mode will result in truncate _BEFORE_ the lock is checked.
+    '''
+
+    def __init__(
+        self,
+        filename: Filename,
+        mode: str = 'a',
+        timeout: typing.Optional[float] = None,
+        check_interval: float = DEFAULT_CHECK_INTERVAL,
+        fail_when_locked: bool = DEFAULT_FAIL_WHEN_LOCKED,
+        flags: constants.LockFlags = LOCK_METHOD,
+        **file_open_kwargs,
+    ):
+        if 'w' in mode:
+            truncate = True
+            mode = mode.replace('w', 'a')
+        else:
+            truncate = False
+
+        if timeout is None:
+            timeout = DEFAULT_TIMEOUT
+        elif not (flags & constants.LockFlags.NON_BLOCKING):
+            warnings.warn(
+                'timeout has no effect in blocking mode',
+                stacklevel=1,
+            )
+
+        self.fh: typing.Optional[typing.IO] = None
+        self.filename: str = str(filename)
+        self.mode: str = mode
+        self.truncate: bool = truncate
+        self.timeout: float = timeout
+        self.check_interval: float = check_interval
+        self.fail_when_locked: bool = fail_when_locked
+        self.flags: constants.LockFlags = flags
+        self.file_open_kwargs = file_open_kwargs
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ) -> typing.IO:
+        '''Acquire the locked filehandle'''
+
+        fail_when_locked = coalesce(fail_when_locked, self.fail_when_locked)
+
+        if (
+            not (self.flags & constants.LockFlags.NON_BLOCKING)
+            and timeout is not None
+        ):
+            warnings.warn(
+                'timeout has no effect in blocking mode',
+                stacklevel=1,
+            )
+
+        # If we already have a filehandle, return it
+        fh: typing.Optional[typing.IO] = self.fh
+        if fh:
+            return fh
+
+        # Get a new filehandler
+        fh = self._get_fh()
+
+        def try_close():  # pragma: no cover
+            # Silently try to close the handle if possible, ignore all issues
+            if fh is not None:
+                with contextlib.suppress(Exception):
+                    fh.close()
+
+        exception = None
+        # Try till the timeout has passed
+        for _ in self._timeout_generator(timeout, check_interval):
+            exception = None
+            try:
+                # Try to lock
+                fh = self._get_lock(fh)
+                break
+            except exceptions.LockException as exc:
+                # Python will automatically remove the variable from memory
+                # unless you save it in a different location
+                exception = exc
+
+                # We already tried to the get the lock
+                # If fail_when_locked is True, stop trying
+                if fail_when_locked:
+                    try_close()
+                    raise exceptions.AlreadyLocked(exception) from exc
+
+                # Wait a bit
+
+        if exception:
+            try_close()
+            # We got a timeout... reraising
+            raise exceptions.LockException(exception)
+
+        # Prepare the filehandle (truncate if needed)
+        fh = self._prepare_fh(fh)
+
+        self.fh = fh
+        return fh
+
+    def release(self):
+        '''Releases the currently locked file handle'''
+        if self.fh:
+            portalocker.unlock(self.fh)
+            self.fh.close()
+            self.fh = None
+
+    def _get_fh(self) -> typing.IO:
+        '''Get a new filehandle'''
+        return open(  # noqa: SIM115
+            self.filename,
+            self.mode,
+            **self.file_open_kwargs,
+        )
+
+    def _get_lock(self, fh: typing.IO) -> typing.IO:
+        '''
+        Try to lock the given filehandle
+
+        returns LockException if it fails'''
+        portalocker.lock(fh, self.flags)
+        return fh
+
+    def _prepare_fh(self, fh: typing.IO) -> typing.IO:
+        '''
+        Prepare the filehandle for usage
+
+        If truncate is a number, the file will be truncated to that amount of
+        bytes
+        '''
+        if self.truncate:
+            fh.seek(0)
+            fh.truncate(0)
+
+        return fh
+
+
+class RLock(Lock):
+    '''
+    A reentrant lock, functions in a similar way to threading.RLock in that it
+    can be acquired multiple times.  When the corresponding number of release()
+    calls are made the lock will finally release the underlying file lock.
+    '''
+
+    def __init__(
+        self,
+        filename,
+        mode='a',
+        timeout=DEFAULT_TIMEOUT,
+        check_interval=DEFAULT_CHECK_INTERVAL,
+        fail_when_locked=False,
+        flags=LOCK_METHOD,
+    ):
+        super().__init__(
+            filename,
+            mode,
+            timeout,
+            check_interval,
+            fail_when_locked,
+            flags,
+        )
+        self._acquire_count = 0
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ) -> typing.IO:
+        if self._acquire_count >= 1:
+            fh = self.fh
+        else:
+            fh = super().acquire(timeout, check_interval, fail_when_locked)
+        self._acquire_count += 1
+        assert fh
+        return fh
+
+    def release(self):
+        if self._acquire_count == 0:
+            raise exceptions.LockException(
+                'Cannot release more times than acquired',
+            )
+
+        if self._acquire_count == 1:
+            super().release()
+        self._acquire_count -= 1
+
+
+class TemporaryFileLock(Lock):
+    def __init__(
+        self,
+        filename='.lock',
+        timeout=DEFAULT_TIMEOUT,
+        check_interval=DEFAULT_CHECK_INTERVAL,
+        fail_when_locked=True,
+        flags=LOCK_METHOD,
+    ):
+        Lock.__init__(
+            self,
+            filename=filename,
+            mode='w',
+            timeout=timeout,
+            check_interval=check_interval,
+            fail_when_locked=fail_when_locked,
+            flags=flags,
+        )
+        atexit.register(self.release)
+
+    def release(self):
+        Lock.release(self)
+        if os.path.isfile(self.filename):  # pragma: no branch
+            os.unlink(self.filename)
+
+
+class BoundedSemaphore(LockBase):
+    '''
+    Bounded semaphore to prevent too many parallel processes from running
+
+    This method is deprecated because multiple processes that are completely
+    unrelated could end up using the same semaphore.  To prevent this,
+    use `NamedBoundedSemaphore` instead. The
+    `NamedBoundedSemaphore` is a drop-in replacement for this class.
+
+    >>> semaphore = BoundedSemaphore(2, directory='')
+    >>> str(semaphore.get_filenames()[0])
+    'bounded_semaphore.00.lock'
+    >>> str(sorted(semaphore.get_random_filenames())[1])
+    'bounded_semaphore.01.lock'
+    '''
+
+    lock: typing.Optional[Lock]
+
+    def __init__(
+        self,
+        maximum: int,
+        name: str = 'bounded_semaphore',
+        filename_pattern: str = '{name}.{number:02d}.lock',
+        directory: str = tempfile.gettempdir(),
+        timeout: typing.Optional[float] = DEFAULT_TIMEOUT,
+        check_interval: typing.Optional[float] = DEFAULT_CHECK_INTERVAL,
+        fail_when_locked: typing.Optional[bool] = True,
+    ):
+        self.maximum = maximum
+        self.name = name
+        self.filename_pattern = filename_pattern
+        self.directory = directory
+        self.lock: typing.Optional[Lock] = None
+        super().__init__(
+            timeout=timeout,
+            check_interval=check_interval,
+            fail_when_locked=fail_when_locked,
+        )
+
+        if not name or name == 'bounded_semaphore':
+            warnings.warn(
+                '`BoundedSemaphore` without an explicit `name` '
+                'argument is deprecated, use NamedBoundedSemaphore',
+                DeprecationWarning,
+                stacklevel=1,
+            )
+
+    def get_filenames(self) -> typing.Sequence[pathlib.Path]:
+        return [self.get_filename(n) for n in range(self.maximum)]
+
+    def get_random_filenames(self) -> typing.Sequence[pathlib.Path]:
+        filenames = list(self.get_filenames())
+        random.shuffle(filenames)
+        return filenames
+
+    def get_filename(self, number) -> pathlib.Path:
+        return pathlib.Path(self.directory) / self.filename_pattern.format(
+            name=self.name,
+            number=number,
+        )
+
+    def acquire(
+        self,
+        timeout: typing.Optional[float] = None,
+        check_interval: typing.Optional[float] = None,
+        fail_when_locked: typing.Optional[bool] = None,
+    ) -> typing.Optional[Lock]:
+        assert not self.lock, 'Already locked'
+
+        filenames = self.get_filenames()
+
+        for n in self._timeout_generator(timeout, check_interval):  # pragma:
+            logger.debug('trying lock (attempt %d) %r', n, filenames)
+            # no branch
+            if self.try_lock(filenames):  # pragma: no branch
+                return self.lock  # pragma: no cover
+
+        if fail_when_locked := coalesce(
+            fail_when_locked,
+            self.fail_when_locked,
+        ):
+            raise exceptions.AlreadyLocked()
+
+        return None
+
+    def try_lock(self, filenames: typing.Sequence[Filename]) -> bool:
+        filename: Filename
+        for filename in filenames:
+            logger.debug('trying lock for %r', filename)
+            self.lock = Lock(filename, fail_when_locked=True)
+            try:
+                self.lock.acquire()
+            except exceptions.AlreadyLocked:
+                self.lock = None
+            else:
+                logger.debug('locked %r', filename)
+                return True
+
+        return False
+
+    def release(self):  # pragma: no cover
+        if self.lock is not None:
+            self.lock.release()
+            self.lock = None
+
+
+class NamedBoundedSemaphore(BoundedSemaphore):
+    '''
+    Bounded semaphore to prevent too many parallel processes from running
+
+    It's also possible to specify a timeout when acquiring the lock to wait
+    for a resource to become available.  This is very similar to
+    `threading.BoundedSemaphore` but works across multiple processes and across
+    multiple operating systems.
+
+    Because this works across multiple processes it's important to give the
+    semaphore a name.  This name is used to create the lock files.  If you
+    don't specify a name, a random name will be generated.  This means that
+    you can't use the same semaphore in multiple processes unless you pass the
+    semaphore object to the other processes.
+
+    >>> semaphore = NamedBoundedSemaphore(2, name='test')
+    >>> str(semaphore.get_filenames()[0])
+    '...test.00.lock'
+
+    >>> semaphore = NamedBoundedSemaphore(2)
+    >>> 'bounded_semaphore' in str(semaphore.get_filenames()[0])
+    True
+
+    '''
+
+    def __init__(
+        self,
+        maximum: int,
+        name: typing.Optional[str] = None,
+        filename_pattern: str = '{name}.{number:02d}.lock',
+        directory: str = tempfile.gettempdir(),
+        timeout: typing.Optional[float] = DEFAULT_TIMEOUT,
+        check_interval: typing.Optional[float] = DEFAULT_CHECK_INTERVAL,
+        fail_when_locked: typing.Optional[bool] = True,
+    ):
+        if name is None:
+            name = 'bounded_semaphore.%d' % random.randint(0, 1000000)
+        super().__init__(
+            maximum,
+            name,
+            filename_pattern,
+            directory,
+            timeout,
+            check_interval,
+            fail_when_locked,
+        )

venv/lib/python3.10/site-packages/sacrebleu-2.4.2.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.10/site-packages/sacrebleu-2.4.2.dist-info/entry_points.txt

@@ -0,0 +1,2 @@
+[console_scripts]
+sacrebleu = sacrebleu.sacrebleu:main

venv/lib/python3.10/site-packages/yaml/__init__.py

@@ -0,0 +1,390 @@
+
+from .error import *
+
+from .tokens import *
+from .events import *
+from .nodes import *
+
+from .loader import *
+from .dumper import *
+
+__version__ = '6.0.1'
+try:
+    from .cyaml import *
+    __with_libyaml__ = True
+except ImportError:
+    __with_libyaml__ = False
+
+import io
+
+#------------------------------------------------------------------------------
+# XXX "Warnings control" is now deprecated. Leaving in the API function to not
+# break code that uses it.
+#------------------------------------------------------------------------------
+def warnings(settings=None):
+    if settings is None:
+        return {}
+
+#------------------------------------------------------------------------------
+def scan(stream, Loader=Loader):
+    """
+    Scan a YAML stream and produce scanning tokens.
+    """
+    loader = Loader(stream)
+    try:
+        while loader.check_token():
+            yield loader.get_token()
+    finally:
+        loader.dispose()
+
+def parse(stream, Loader=Loader):
+    """
+    Parse a YAML stream and produce parsing events.
+    """
+    loader = Loader(stream)
+    try:
+        while loader.check_event():
+            yield loader.get_event()
+    finally:
+        loader.dispose()
+
+def compose(stream, Loader=Loader):
+    """
+    Parse the first YAML document in a stream
+    and produce the corresponding representation tree.
+    """
+    loader = Loader(stream)
+    try:
+        return loader.get_single_node()
+    finally:
+        loader.dispose()
+
+def compose_all(stream, Loader=Loader):
+    """
+    Parse all YAML documents in a stream
+    and produce corresponding representation trees.
+    """
+    loader = Loader(stream)
+    try:
+        while loader.check_node():
+            yield loader.get_node()
+    finally:
+        loader.dispose()
+
+def load(stream, Loader):
+    """
+    Parse the first YAML document in a stream
+    and produce the corresponding Python object.
+    """
+    loader = Loader(stream)
+    try:
+        return loader.get_single_data()
+    finally:
+        loader.dispose()
+
+def load_all(stream, Loader):
+    """
+    Parse all YAML documents in a stream
+    and produce corresponding Python objects.
+    """
+    loader = Loader(stream)
+    try:
+        while loader.check_data():
+            yield loader.get_data()
+    finally:
+        loader.dispose()
+
+def full_load(stream):
+    """
+    Parse the first YAML document in a stream
+    and produce the corresponding Python object.
+
+    Resolve all tags except those known to be
+    unsafe on untrusted input.
+    """
+    return load(stream, FullLoader)
+
+def full_load_all(stream):
+    """
+    Parse all YAML documents in a stream
+    and produce corresponding Python objects.
+
+    Resolve all tags except those known to be
+    unsafe on untrusted input.
+    """
+    return load_all(stream, FullLoader)
+
+def safe_load(stream):
+    """
+    Parse the first YAML document in a stream
+    and produce the corresponding Python object.
+
+    Resolve only basic YAML tags. This is known
+    to be safe for untrusted input.
+    """
+    return load(stream, SafeLoader)
+
+def safe_load_all(stream):
+    """
+    Parse all YAML documents in a stream
+    and produce corresponding Python objects.
+
+    Resolve only basic YAML tags. This is known
+    to be safe for untrusted input.
+    """
+    return load_all(stream, SafeLoader)
+
+def unsafe_load(stream):
+    """
+    Parse the first YAML document in a stream
+    and produce the corresponding Python object.
+
+    Resolve all tags, even those known to be
+    unsafe on untrusted input.
+    """
+    return load(stream, UnsafeLoader)
+
+def unsafe_load_all(stream):
+    """
+    Parse all YAML documents in a stream
+    and produce corresponding Python objects.
+
+    Resolve all tags, even those known to be
+    unsafe on untrusted input.
+    """
+    return load_all(stream, UnsafeLoader)
+
+def emit(events, stream=None, Dumper=Dumper,
+        canonical=None, indent=None, width=None,
+        allow_unicode=None, line_break=None):
+    """
+    Emit YAML parsing events into a stream.
+    If stream is None, return the produced string instead.
+    """
+    getvalue = None
+    if stream is None:
+        stream = io.StringIO()
+        getvalue = stream.getvalue
+    dumper = Dumper(stream, canonical=canonical, indent=indent, width=width,
+            allow_unicode=allow_unicode, line_break=line_break)
+    try:
+        for event in events:
+            dumper.emit(event)
+    finally:
+        dumper.dispose()
+    if getvalue:
+        return getvalue()
+
+def serialize_all(nodes, stream=None, Dumper=Dumper,
+        canonical=None, indent=None, width=None,
+        allow_unicode=None, line_break=None,
+        encoding=None, explicit_start=None, explicit_end=None,
+        version=None, tags=None):
+    """
+    Serialize a sequence of representation trees into a YAML stream.
+    If stream is None, return the produced string instead.
+    """
+    getvalue = None
+    if stream is None:
+        if encoding is None:
+            stream = io.StringIO()
+        else:
+            stream = io.BytesIO()
+        getvalue = stream.getvalue
+    dumper = Dumper(stream, canonical=canonical, indent=indent, width=width,
+            allow_unicode=allow_unicode, line_break=line_break,
+            encoding=encoding, version=version, tags=tags,
+            explicit_start=explicit_start, explicit_end=explicit_end)
+    try:
+        dumper.open()
+        for node in nodes:
+            dumper.serialize(node)
+        dumper.close()
+    finally:
+        dumper.dispose()
+    if getvalue:
+        return getvalue()
+
+def serialize(node, stream=None, Dumper=Dumper, **kwds):
+    """
+    Serialize a representation tree into a YAML stream.
+    If stream is None, return the produced string instead.
+    """
+    return serialize_all([node], stream, Dumper=Dumper, **kwds)
+
+def dump_all(documents, stream=None, Dumper=Dumper,
+        default_style=None, default_flow_style=False,
+        canonical=None, indent=None, width=None,
+        allow_unicode=None, line_break=None,
+        encoding=None, explicit_start=None, explicit_end=None,
+        version=None, tags=None, sort_keys=True):
+    """
+    Serialize a sequence of Python objects into a YAML stream.
+    If stream is None, return the produced string instead.
+    """
+    getvalue = None
+    if stream is None:
+        if encoding is None:
+            stream = io.StringIO()
+        else:
+            stream = io.BytesIO()
+        getvalue = stream.getvalue
+    dumper = Dumper(stream, default_style=default_style,
+            default_flow_style=default_flow_style,
+            canonical=canonical, indent=indent, width=width,
+            allow_unicode=allow_unicode, line_break=line_break,
+            encoding=encoding, version=version, tags=tags,
+            explicit_start=explicit_start, explicit_end=explicit_end, sort_keys=sort_keys)
+    try:
+        dumper.open()
+        for data in documents:
+            dumper.represent(data)
+        dumper.close()
+    finally:
+        dumper.dispose()
+    if getvalue:
+        return getvalue()
+
+def dump(data, stream=None, Dumper=Dumper, **kwds):
+    """
+    Serialize a Python object into a YAML stream.
+    If stream is None, return the produced string instead.
+    """
+    return dump_all([data], stream, Dumper=Dumper, **kwds)
+
+def safe_dump_all(documents, stream=None, **kwds):
+    """
+    Serialize a sequence of Python objects into a YAML stream.
+    Produce only basic YAML tags.
+    If stream is None, return the produced string instead.
+    """
+    return dump_all(documents, stream, Dumper=SafeDumper, **kwds)
+
+def safe_dump(data, stream=None, **kwds):
+    """
+    Serialize a Python object into a YAML stream.
+    Produce only basic YAML tags.
+    If stream is None, return the produced string instead.
+    """
+    return dump_all([data], stream, Dumper=SafeDumper, **kwds)
+
+def add_implicit_resolver(tag, regexp, first=None,
+        Loader=None, Dumper=Dumper):
+    """
+    Add an implicit scalar detector.
+    If an implicit scalar value matches the given regexp,
+    the corresponding tag is assigned to the scalar.
+    first is a sequence of possible initial characters or None.
+    """
+    if Loader is None:
+        loader.Loader.add_implicit_resolver(tag, regexp, first)
+        loader.FullLoader.add_implicit_resolver(tag, regexp, first)
+        loader.UnsafeLoader.add_implicit_resolver(tag, regexp, first)
+    else:
+        Loader.add_implicit_resolver(tag, regexp, first)
+    Dumper.add_implicit_resolver(tag, regexp, first)
+
+def add_path_resolver(tag, path, kind=None, Loader=None, Dumper=Dumper):
+    """
+    Add a path based resolver for the given tag.
+    A path is a list of keys that forms a path
+    to a node in the representation tree.
+    Keys can be string values, integers, or None.
+    """
+    if Loader is None:
+        loader.Loader.add_path_resolver(tag, path, kind)
+        loader.FullLoader.add_path_resolver(tag, path, kind)
+        loader.UnsafeLoader.add_path_resolver(tag, path, kind)
+    else:
+        Loader.add_path_resolver(tag, path, kind)
+    Dumper.add_path_resolver(tag, path, kind)
+
+def add_constructor(tag, constructor, Loader=None):
+    """
+    Add a constructor for the given tag.
+    Constructor is a function that accepts a Loader instance
+    and a node object and produces the corresponding Python object.
+    """
+    if Loader is None:
+        loader.Loader.add_constructor(tag, constructor)
+        loader.FullLoader.add_constructor(tag, constructor)
+        loader.UnsafeLoader.add_constructor(tag, constructor)
+    else:
+        Loader.add_constructor(tag, constructor)
+
+def add_multi_constructor(tag_prefix, multi_constructor, Loader=None):
+    """
+    Add a multi-constructor for the given tag prefix.
+    Multi-constructor is called for a node if its tag starts with tag_prefix.
+    Multi-constructor accepts a Loader instance, a tag suffix,
+    and a node object and produces the corresponding Python object.
+    """
+    if Loader is None:
+        loader.Loader.add_multi_constructor(tag_prefix, multi_constructor)
+        loader.FullLoader.add_multi_constructor(tag_prefix, multi_constructor)
+        loader.UnsafeLoader.add_multi_constructor(tag_prefix, multi_constructor)
+    else:
+        Loader.add_multi_constructor(tag_prefix, multi_constructor)
+
+def add_representer(data_type, representer, Dumper=Dumper):
+    """
+    Add a representer for the given type.
+    Representer is a function accepting a Dumper instance
+    and an instance of the given data type
+    and producing the corresponding representation node.
+    """
+    Dumper.add_representer(data_type, representer)
+
+def add_multi_representer(data_type, multi_representer, Dumper=Dumper):
+    """
+    Add a representer for the given type.
+    Multi-representer is a function accepting a Dumper instance
+    and an instance of the given data type or subtype
+    and producing the corresponding representation node.
+    """
+    Dumper.add_multi_representer(data_type, multi_representer)
+
+class YAMLObjectMetaclass(type):
+    """
+    The metaclass for YAMLObject.
+    """
+    def __init__(cls, name, bases, kwds):
+        super(YAMLObjectMetaclass, cls).__init__(name, bases, kwds)
+        if 'yaml_tag' in kwds and kwds['yaml_tag'] is not None:
+            if isinstance(cls.yaml_loader, list):
+                for loader in cls.yaml_loader:
+                    loader.add_constructor(cls.yaml_tag, cls.from_yaml)
+            else:
+                cls.yaml_loader.add_constructor(cls.yaml_tag, cls.from_yaml)
+
+            cls.yaml_dumper.add_representer(cls, cls.to_yaml)
+
+class YAMLObject(metaclass=YAMLObjectMetaclass):
+    """
+    An object that can dump itself to a YAML stream
+    and load itself from a YAML stream.
+    """
+
+    __slots__ = ()  # no direct instantiation, so allow immutable subclasses
+
+    yaml_loader = [Loader, FullLoader, UnsafeLoader]
+    yaml_dumper = Dumper
+
+    yaml_tag = None
+    yaml_flow_style = None
+
+    @classmethod
+    def from_yaml(cls, loader, node):
+        """
+        Convert a representation node to a Python object.
+        """
+        return loader.construct_yaml_object(node, cls)
+
+    @classmethod
+    def to_yaml(cls, dumper, data):
+        """
+        Convert a Python object to a representation node.
+        """
+        return dumper.represent_yaml_object(cls.yaml_tag, data, cls,
+                flow_style=cls.yaml_flow_style)
+