

"""simple docstring"""




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import ast
import difflib
from collections.abc import Mapping
from typing import Any, Callable, Dict





class 			__UpperCamelCase (   _A						):
		pass

def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__=None			,							lowercase__=False      ):
					"""simple docstring"""
					try:
										A			=					ast.parse(lowercase__      )
					except SyntaxError as e:
										print("The code generated by the agent is not valid.\n"			,							lowercase__      )
										return
					if state is None:
										A			=					{}
					A			=					None
					for idx, node in enumerate(expression.body      ):
										try:
															A			=					evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      )
										except InterpretorError as e:
															A			=					F"""Evaluation of the code stopped at line {idx} before the end because of the following error"""
															if chat_mode:
																				msg += (
																				    F""". Copy paste the following error message and send it back to the agent:\nI get an error: '{e}'"""
																				)
															else:
																				msg += F""":\n{e}"""
															print(lowercase__      )
															break
										if line_result is not None:
															A			=					line_result

					return result
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					if isinstance(lowercase__			,							ast.Assign      ):
										# Assignement -> we evaluate the assignement which should update the state
										# We return the variable assigned as it may be used to determine the final result.
										return evaluate_assign(lowercase__			,							lowercase__			,							lowercase__      )
					elif isinstance(lowercase__			,							ast.Call      ):
										# Function call -> we return the value of the function call
										return evaluate_call(lowercase__			,							lowercase__			,							lowercase__      )
					elif isinstance(lowercase__			,							ast.Constant      ):
										# Constant -> just return the value
										return expression.value
					elif isinstance(lowercase__			,							ast.Dict      ):
										# Dict -> evaluate all keys and values
										A			=					[evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      ) for k in expression.keys]
										A			=					[evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      ) for v in expression.values]
										return dict(zip(lowercase__			,							lowercase__      )      )
					elif isinstance(lowercase__			,							ast.Expr      ):
										# Expression -> evaluate the content
										return evaluate_ast(expression.value			,							lowercase__			,							lowercase__      )
					elif isinstance(lowercase__			,							ast.For      ):
										# For loop -> execute the loop
										return evaluate_for(lowercase__			,							lowercase__			,							lowercase__      )
					elif isinstance(lowercase__			,							ast.FormattedValue      ):
										# Formatted value (part of f-string) -> evaluate the content and return
										return evaluate_ast(expression.value			,							lowercase__			,							lowercase__      )
					elif isinstance(lowercase__			,							ast.If      ):
										# If -> execute the right branch
										return evaluate_if(lowercase__			,							lowercase__			,							lowercase__      )
					elif hasattr(lowercase__			,							"Index"      ) and isinstance(lowercase__			,							ast.Index      ):
										return evaluate_ast(expression.value			,							lowercase__			,							lowercase__      )
					elif isinstance(lowercase__			,							ast.JoinedStr      ):
										return "".join([str(evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      )      ) for v in expression.values]      )
					elif isinstance(lowercase__			,							ast.List      ):
										# List -> evaluate all elements
										return [evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      ) for elt in expression.elts]
					elif isinstance(lowercase__			,							ast.Name      ):
										# Name -> pick up the value in the state
										return evaluate_name(lowercase__			,							lowercase__			,							lowercase__      )
					elif isinstance(lowercase__			,							ast.Subscript      ):
										# Subscript -> return the value of the indexing
										return evaluate_subscript(lowercase__			,							lowercase__			,							lowercase__      )
					else:
										# For now we refuse anything else. Let's add things as we need them.
										raise InterpretorError(F"""{expression.__class__.__name__} is not supported."""      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					A			=					assign.targets
					A			=					evaluate_ast(assign.value			,							lowercase__			,							lowercase__      )

					if len(lowercase__      ) == 1:
										A			=					result
					else:
										if len(lowercase__      ) != len(lowercase__      ):
															raise InterpretorError(F"""Expected {len(lowercase__      )} values but got {len(lowercase__      )}."""      )
										for var_name, r in zip(lowercase__			,							lowercase__      ):
															A			=					r
					return result
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					if not isinstance(call.func			,							ast.Name      ):
										raise InterpretorError(
										    F"""It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func} of """
										    F"""type {type(call.func      )}."""      )
					A			=					call.func.id
					if func_name not in tools:
										raise InterpretorError(
										    F"""It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func.id})."""      )

					A			=					tools[func_name]
					# Todo deal with args
					A			=					[evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      ) for arg in call.args]
					A			=					{keyword.arg: evaluate_ast(keyword.value			,							lowercase__			,							lowercase__      ) for keyword in call.keywords}
					return func(*lowercase__			,							**lowercase__      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					A			=					evaluate_ast(subscript.slice			,							lowercase__			,							lowercase__      )
					A			=					evaluate_ast(subscript.value			,							lowercase__			,							lowercase__      )
					if isinstance(lowercase__			,							(list, tuple)      ):
										return value[int(lowercase__      )]
					if index in value:
										return value[index]
					if isinstance(lowercase__			,							lowercase__      ) and isinstance(lowercase__			,							lowercase__      ):
										A			=					difflib.get_close_matches(lowercase__			,							list(value.keys()      )      )
										if len(lowercase__      ) > 0:
															return value[close_matches[0]]

					raise InterpretorError(F"""Could not index {value} with '{index}'."""      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					if name.id in state:
										return state[name.id]
					A			=					difflib.get_close_matches(name.id			,							list(state.keys()      )      )
					if len(lowercase__      ) > 0:
										return state[close_matches[0]]
					raise InterpretorError(F"""The variable `{name.id}` is not defined."""      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					if len(condition.ops      ) > 1:
										raise InterpretorError("Cannot evaluate conditions with multiple operators"      )

					A			=					evaluate_ast(condition.left			,							lowercase__			,							lowercase__      )
					A			=					condition.ops[0]
					A			=					evaluate_ast(condition.comparators[0]			,							lowercase__			,							lowercase__      )

					if isinstance(lowercase__			,							ast.Eq      ):
										return left == right
					elif isinstance(lowercase__			,							ast.NotEq      ):
										return left != right
					elif isinstance(lowercase__			,							ast.Lt      ):
										return left < right
					elif isinstance(lowercase__			,							ast.LtE      ):
										return left <= right
					elif isinstance(lowercase__			,							ast.Gt      ):
										return left > right
					elif isinstance(lowercase__			,							ast.GtE      ):
										return left >= right
					elif isinstance(lowercase__			,							ast.Is      ):
										return left is right
					elif isinstance(lowercase__			,							ast.IsNot      ):
										return left is not right
					elif isinstance(lowercase__			,							ast.In      ):
										return left in right
					elif isinstance(lowercase__			,							ast.NotIn      ):
										return left not in right
					else:
										raise InterpretorError(F"""Operator not supported: {comparator}"""      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					A			=					None
					if evaluate_condition(if_statement.test			,							lowercase__			,							lowercase__      ):
										for line in if_statement.body:
															A			=					evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      )
															if line_result is not None:
																				A			=					line_result
					else:
										for line in if_statement.orelse:
															A			=					evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      )
															if line_result is not None:
																				A			=					line_result
					return result
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__			,							lowercase__      ):
					"""simple docstring"""
					A			=					None
					A			=					evaluate_ast(for_loop.iter			,							lowercase__			,							lowercase__      )
					for counter in iterator:
										A			=					counter
										for expression in for_loop.body:
															A			=					evaluate_ast(lowercase__			,							lowercase__			,							lowercase__      )
															if line_result is not None:
																				A			=					line_result
					return result








"""simple docstring"""




from typing import TYPE_CHECKING

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


__A     :    int    =		{'configuration_bit': ['BIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BitConfig', 'BitOnnxConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A     :    Optional[Any]    =		[
	    'BIT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'BitForImageClassification',
	    'BitModel',
	    'BitPreTrainedModel',
	    'BitBackbone',
	]


try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A     :    List[Any]    =		['BitImageProcessor']


if TYPE_CHECKING:
	from .configuration_bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig, BitOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_bit import (
		    BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BitBackbone,
		    BitForImageClassification,
		    BitModel,
		    BitPreTrainedModel,
		)

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_bit import BitImageProcessor

else:
	import sys

	__A     :    Union[str, Any]    =		_LazyModule(__name__, globals()['__file__'], _import_structure)





