






import enum
import shutil
import sys


lowercase  							=					shutil.get_terminal_size()

lowercase  							=					{'''UP''': '''A''', '''DOWN''': '''B''', '''RIGHT''': '''C''', '''LEFT''': '''D'''}




class  UpperCamelCase_      (			enum.Enum				):



	'''simple docstring'''




	lowerCAmelCase													= 0
	lowerCAmelCase													= 1






def 						__UpperCAmelCase			(     a_							,     a_=""):
							sys.stdout.write(str(a_) + end)
							sys.stdout.flush()





def 						__UpperCAmelCase			(     a_							,     a_							,     a_=""):
							forceWrite(f'''\u001b[{color}m{content}\u001b[0m'''							,     a_)





def 						__UpperCAmelCase			(     ):
							forceWrite('\r')





def 						__UpperCAmelCase			(     a_							,     a_):
							forceWrite(f'''\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}''')





def 						__UpperCAmelCase			(     ):
							forceWrite(' ' * TERMINAL_WIDTH)
							reset_cursor()





def 						__UpperCAmelCase			(     ):
							reset_cursor()
							forceWrite('-' * TERMINAL_WIDTH)












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase						:   Any			  =     {
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCAmelCase						:   int			  =     ['''MvpTokenizerFast''']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCAmelCase						:   str			  =     [
				    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''MvpForCausalLM''',
				    '''MvpForConditionalGeneration''',
				    '''MvpForQuestionAnswering''',
				    '''MvpForSequenceClassification''',
				    '''MvpModel''',
				    '''MvpPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
				from .tokenization_mvp import MvpTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mvp_fast import MvpTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mvp import (
								    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MvpForCausalLM,
								    MvpForConditionalGeneration,
								    MvpForQuestionAnswering,
								    MvpForSequenceClassification,
								    MvpModel,
								    MvpPreTrainedModel,
								)

else:
				import sys

				UpperCAmelCase						:   List[str]			  =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




