




"""simple docstring"""




from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
			from ..models.auto import AutoTokenizer

class    UpperCAmelCase_  :
		def      _lowerCamelCase				(		self							,		UpperCamelCase_    )		->    List[str]:
					raise NotImplementedError()
		def      _lowerCamelCase				(		self    )		->    Optional[Any]:
					raise NotImplementedError()


class    UpperCAmelCase_  (       __snake_case						):
		def __init__(		self							,		UpperCamelCase_							,		UpperCamelCase_ = False							,		**UpperCamelCase_    )		->    Optional[Any]:
					__lowercase       :   Tuple        =    tokenizer
					__lowercase       :   Tuple        =    skip_prompt
					__lowercase       :   Optional[Any]        =    decode_kwargs

					# variables used in the streaming process
					__lowercase       :   Tuple        =    []
					__lowercase       :   List[str]        =    0
					__lowercase       :   Any        =    True
		def      _lowerCamelCase				(		self							,		UpperCamelCase_    )		->    str:


					if len(value.shape    ) > 1 and value.shape[0] > 1:
								raise ValueError('''TextStreamer only supports batch size 1'''    )
					elif len(value.shape    ) > 1:
								__lowercase       :   List[Any]        =    value[0]

					if self.skip_prompt and self.next_tokens_are_prompt:
								__lowercase       :   Any        =    False
								return

					# Add the new token to the cache and decodes the entire thing.
					self.token_cache.extend(value.tolist()    )
					__lowercase       :   int        =    self.tokenizer.decode(self.token_cache							,		**self.decode_kwargs    )

					# After the symbol for a new line, we flush the cache.
					if text.endswith('''\n'''    ):
								__lowercase       :   List[Any]        =    text[self.print_len :]
								__lowercase       :   Optional[Any]        =    []
								__lowercase       :   Dict        =    0
					# If the last token is a CJK character, we print the characters.
					elif len(UpperCamelCase__    ) > 0 and self._is_chinese_char(ord(text[-1]    )    ):
								__lowercase       :   List[Any]        =    text[self.print_len :]
								self.print_len += len(UpperCamelCase__    )
					# Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
					# which may change with the subsequent token -- there are probably smarter ways to do this!)
					else:
								__lowercase       :   List[str]        =    text[self.print_len : text.rfind(''' '''    ) + 1]
								self.print_len += len(UpperCamelCase__    )

					self.on_finalized_text(UpperCamelCase__    )
		def      _lowerCamelCase				(		self    )		->    Optional[Any]:


					if len(self.token_cache    ) > 0:
								__lowercase       :   Any        =    self.tokenizer.decode(self.token_cache							,		**self.decode_kwargs    )
								__lowercase       :   int        =    text[self.print_len :]
								__lowercase       :   Optional[int]        =    []
								__lowercase       :   Any        =    0
					else:
								__lowercase       :   List[str]        =    ""

					__lowercase       :   Tuple        =    True
					self.on_finalized_text(UpperCamelCase__							,		stream_end=UpperCamelCase__    )
		def      _lowerCamelCase				(		self							,		UpperCamelCase_							,		UpperCamelCase_ = False    )		->    List[Any]:
					print(UpperCamelCase__							,		flush=UpperCamelCase__							,		end='''''' if not stream_end else None    )
		def      _lowerCamelCase				(		self							,		UpperCamelCase_    )		->    Any:


					if (
					    (cp >= 0x4_e_0_0 and cp <= 0x9_f_f_f)
					    or (cp >= 0x3_4_0_0 and cp <= 0x4_d_b_f)  #
					    or (cp >= 0x2_0_0_0_0 and cp <= 0x2_a_6_d_f)  #
					    or (cp >= 0x2_a_7_0_0 and cp <= 0x2_b_7_3_f)  #
					    or (cp >= 0x2_b_7_4_0 and cp <= 0x2_b_8_1_f)  #
					    or (cp >= 0x2_b_8_2_0 and cp <= 0x2_c_e_a_f)  #
					    or (cp >= 0xf_9_0_0 and cp <= 0xf_a_f_f)
					    or (cp >= 0x2_f_8_0_0 and cp <= 0x2_f_a_1_f)  #
					):  #
								return True

					return False


class    UpperCAmelCase_  (       __snake_case						):
		def __init__(		self							,		UpperCamelCase_							,		UpperCamelCase_ = False							,		UpperCamelCase_ = None							,		**UpperCamelCase_    )		->    List[str]:
					super().__init__(UpperCamelCase__							,		UpperCamelCase__							,		**UpperCamelCase__    )
					__lowercase       :   Dict        =    Queue()
					__lowercase       :   int        =    None
					__lowercase       :   Optional[int]        =    timeout
		def      _lowerCamelCase				(		self							,		UpperCamelCase_							,		UpperCamelCase_ = False    )		->    Optional[Any]:
					self.text_queue.put(UpperCamelCase__							,		timeout=self.timeout    )
					if stream_end:
								self.text_queue.put(self.stop_signal							,		timeout=self.timeout    )
		def __iter__(		self    )		->    Optional[Any]:
					return self
		def      _lowerCamelCase				(		self    )		->    Optional[int]:
					__lowercase       :   List[str]        =    self.text_queue.get(timeout=self.timeout    )
					if value == self.stop_signal:
								raise StopIteration()
					else:
								return value






"""simple docstring"""


import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	Union[str, Any]:
		monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"					, set() )






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	str:





		class     snake_case	:

						def __init__(	self							:				int     ,  UpperCamelCase__							:				Optional[int])->   Union[str, Any]:



								'''simple docstring'''


								__lowerCAmelCase:       str          =			metric_id





		class     snake_case	:
						SCREAMING_SNAKE_CASE_   :      List[Any]         =  [MetricMock(__snake_case  ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

						def 							lowercase_     (	self							:				Tuple)->   Union[str, Any]:



								'''simple docstring'''


								return self._metrics


		monkeypatch.setattr("datasets.inspect.huggingface_hub"					, HfhMock() )






@pytest.mark.parametrize(
    "func, args"					, [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))] )
def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	Optional[Any]:
		if "tmp_path" in args:
				__lowerCAmelCase:       Tuple          =			tuple(arg if arg != "tmp_path" else tmp_path for arg in args )
		with pytest.warns(__SCREAMING_SNAKE_CASE					, match="https://huggingface.co/docs/evaluate" ):
				func(*__SCREAMING_SNAKE_CASE )


