import importlib
import os
import platform
from pathlib import Path

from packaging import version

from .utils.logging import get_logger


lowercase_  							=			get_logger(__name__)

# Datasets
lowercase_  							=			"https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets"
lowercase_  							=			"https://cdn-datasets.huggingface.co/datasets/datasets"
lowercase_  							=			"https://raw.githubusercontent.com/huggingface/datasets/{revision}/datasets/{path}/{name}"

# Metrics
lowercase_  							=			"https://s3.amazonaws.com/datasets.huggingface.co/datasets/metrics"
lowercase_  							=			"https://cdn-datasets.huggingface.co/datasets/metric"
lowercase_  							=			"https://raw.githubusercontent.com/huggingface/datasets/{revision}/metrics/{path}/{name}"

# Hub
lowercase_  							=			os.environ.get("HF_ENDPOINT", "https://huggingface.co")
lowercase_  							=			HF_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
lowercase_  							=			"main"

lowercase_  							=			version.parse(platform.python_version())

if PY_VERSION < version.parse("3.8"):
     import importlib_metadata
else:
     import importlib.metadata as importlib_metadata

# General environment variables accepted values for booleans
lowercase_  							=			{"1", "ON", "YES", "TRUE"}
lowercase_  							=			ENV_VARS_TRUE_VALUES.union({"AUTO"})


# Imports
lowercase_  							=			version.parse(importlib_metadata.version("dill"))
lowercase_  							=			version.parse(importlib_metadata.version("pandas"))
lowercase_  							=			version.parse(importlib_metadata.version("pyarrow"))

lowercase_  							=			os.environ.get("USE_TF", "AUTO").upper()
lowercase_  							=			os.environ.get("USE_TORCH", "AUTO").upper()
lowercase_  							=			os.environ.get("USE_JAX", "AUTO").upper()

lowercase_  							=			"N/A"
lowercase_  							=			False

if USE_TORCH in ENV_VARS_TRUE_AND_AUTO_VALUES and USE_TF not in ENV_VARS_TRUE_VALUES:
     lowercase_  							=			importlib.util.find_spec("torch") is not None
     if TORCH_AVAILABLE:
          try:
               lowercase_  							=			version.parse(importlib_metadata.version("torch"))
               logger.info(F'''PyTorch version {TORCH_VERSION} available.''')
          except importlib_metadata.PackageNotFoundError:
               pass
else:
     logger.info("Disabling PyTorch because USE_TF is set")

lowercase_  							=			"N/A"
lowercase_  							=			False

if USE_TF in ENV_VARS_TRUE_AND_AUTO_VALUES and USE_TORCH not in ENV_VARS_TRUE_VALUES:
     lowercase_  							=			importlib.util.find_spec("tensorflow") is not None
     if TF_AVAILABLE:
          # For the metadata, we have to look for both tensorflow and tensorflow-cpu
          for package in [
              "tensorflow",
              "tensorflow-cpu",
              "tensorflow-gpu",
              "tf-nightly",
              "tf-nightly-cpu",
              "tf-nightly-gpu",
              "intel-tensorflow",
              "tensorflow-rocm",
              "tensorflow-macos",
          ]:
               try:
                    lowercase_  							=			version.parse(importlib_metadata.version(package))
               except importlib_metadata.PackageNotFoundError:
                    continue
               else:
                    break
          else:
               lowercase_  							=			False
     if TF_AVAILABLE:
          if TF_VERSION.major < 2:
               logger.info(F'''TensorFlow found but with version {TF_VERSION}. `datasets` requires version 2 minimum.''')
               lowercase_  							=			False
          else:
               logger.info(F'''TensorFlow version {TF_VERSION} available.''')
else:
     logger.info("Disabling Tensorflow because USE_TORCH is set")


lowercase_  							=			"N/A"
lowercase_  							=			False

if USE_JAX in ENV_VARS_TRUE_AND_AUTO_VALUES:
     lowercase_  							=			importlib.util.find_spec("jax") is not None and importlib.util.find_spec("jaxlib") is not None
     if JAX_AVAILABLE:
          try:
               lowercase_  							=			version.parse(importlib_metadata.version("jax"))
               logger.info(F'''JAX version {JAX_VERSION} available.''')
          except importlib_metadata.PackageNotFoundError:
               pass
else:
     logger.info("Disabling JAX because USE_JAX is set to False")


lowercase_  							=			os.environ.get("USE_BEAM", "AUTO").upper()
lowercase_  							=			"N/A"
lowercase_  							=			False
if USE_BEAM in ENV_VARS_TRUE_AND_AUTO_VALUES:
     try:
          lowercase_  							=			version.parse(importlib_metadata.version("apache_beam"))
          lowercase_  							=			True
          logger.info(F'''Apache Beam version {BEAM_VERSION} available.''')
     except importlib_metadata.PackageNotFoundError:
          pass
else:
     logger.info("Disabling Apache Beam because USE_BEAM is set to False")


# Optional tools for data loading
lowercase_  							=			importlib.util.find_spec("sqlalchemy") is not None

# Optional tools for feature decoding
lowercase_  							=			importlib.util.find_spec("PIL") is not None
lowercase_  							=			importlib.util.find_spec("soundfile") is not None and version.parse(
    importlib.import_module("soundfile").__libsndfile_version__
) >= version.parse("1.0.31")
lowercase_  							=			importlib.util.find_spec("soundfile") is not None and version.parse(
    importlib.import_module("soundfile").__libsndfile_version__
) >= version.parse("1.1.0")

# Optional compression tools
lowercase_  							=			importlib.util.find_spec("rarfile") is not None
lowercase_  							=			importlib.util.find_spec("zstandard") is not None
lowercase_  							=			importlib.util.find_spec("lz4") is not None
lowercase_  							=			importlib.util.find_spec("py7zr") is not None


# Cache location
lowercase_  							=			"~/.cache"
lowercase_  							=			os.getenv("XDG_CACHE_HOME", DEFAULT_XDG_CACHE_HOME)
lowercase_  							=			os.path.join(XDG_CACHE_HOME, "huggingface")
lowercase_  							=			os.path.expanduser(os.getenv("HF_HOME", DEFAULT_HF_CACHE_HOME))

lowercase_  							=			os.path.join(HF_CACHE_HOME, "datasets")
lowercase_  							=			Path(os.getenv("HF_DATASETS_CACHE", DEFAULT_HF_DATASETS_CACHE))

lowercase_  							=			os.path.join(HF_CACHE_HOME, "metrics")
lowercase_  							=			Path(os.getenv("HF_METRICS_CACHE", DEFAULT_HF_METRICS_CACHE))

lowercase_  							=			os.path.join(HF_CACHE_HOME, "modules")
lowercase_  							=			Path(os.getenv("HF_MODULES_CACHE", DEFAULT_HF_MODULES_CACHE))

lowercase_  							=			"downloads"
lowercase_  							=			os.path.join(HF_DATASETS_CACHE, DOWNLOADED_DATASETS_DIR)
lowercase_  							=			Path(os.getenv("HF_DATASETS_DOWNLOADED_DATASETS_PATH", DEFAULT_DOWNLOADED_DATASETS_PATH))

lowercase_  							=			"extracted"
lowercase_  							=			os.path.join(DEFAULT_DOWNLOADED_DATASETS_PATH, EXTRACTED_DATASETS_DIR)
lowercase_  							=			Path(os.getenv("HF_DATASETS_EXTRACTED_DATASETS_PATH", DEFAULT_EXTRACTED_DATASETS_PATH))

# Download count for the website
lowercase_  							=			(
    os.environ.get("HF_UPDATE_DOWNLOAD_COUNTS", "AUTO").upper() in ENV_VARS_TRUE_AND_AUTO_VALUES
)

# Batch size constants. For more info, see:
# https://github.com/apache/arrow/blob/master/docs/source/cpp/arrays.rst#size-limitations-and-recommendations)
lowercase_  							=			10_00

# Size of the preloaded record batch in `Dataset.__iter__`
lowercase_  							=			10

# Pickling tables works only for small tables (<4GiB)
# For big tables, we write them on disk instead
lowercase_  							=			4 << 30

# Max shard size in bytes (e.g. to shard parquet datasets in push_to_hub or download_and_prepare)
lowercase_  							=			"500MB"

# Parquet configuration
lowercase_  							=			1_00
lowercase_  							=			1_00
lowercase_  							=			1_00

# Offline mode
lowercase_  							=			os.environ.get("HF_DATASETS_OFFLINE", "AUTO").upper() in ENV_VARS_TRUE_VALUES

# In-memory
lowercase_  							=			0  # Disabled
lowercase_  							=			float(os.environ.get("HF_DATASETS_IN_MEMORY_MAX_SIZE", DEFAULT_IN_MEMORY_MAX_SIZE))

# File names
lowercase_  							=			"dataset.arrow"
lowercase_  							=			"indices.arrow"
lowercase_  							=			"state.json"
lowercase_  							=			"dataset_info.json"
lowercase_  							=			"dataset_infos.json"
lowercase_  							=			"LICENSE"
lowercase_  							=			"metric_info.json"
lowercase_  							=			"dataset_dict.json"

lowercase_  							=			"datasets_modules"

lowercase_  							=			2_55

# Streaming
lowercase_  							=			20
lowercase_  							=			5

# Datasets without script
lowercase_  							=			2_00
lowercase_  							=			10
lowercase_  							=			2_00

# Progress bars
lowercase_  							=			0.05  # 20 progress updates per sec




import warnings

from .generation import FlaxGenerationMixin







class      SCREAMING_SNAKE_CASE__					(  __UpperCamelCase    ):
       # warning at import time
       warnings.warn(
           "Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will "
           "be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."   ,							__UpperCamelCase   ,							)



