


from abc import ABC, abstractmethod
from typing import List, Optional







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			def __init__(							self     ):

						'''simple docstring'''


						self.test()




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       0
						UpperCamelCase__					=       False
						while not completed:
									if counter == 1:
												self.reset()
									UpperCamelCase__					=       self.advance()
									if not self.does_advance(snake_case     ):
												raise Exception(
												    "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."     )

									UpperCamelCase__,      UpperCamelCase__,      UpperCamelCase__					=       self.update(snake_case     )
									counter += 1

									if counter > 10000:
												raise Exception("update() does not fulfill the constraint."     )

						if self.remaining() != 0:
									raise Exception("Custom Constraint is not defined correctly."     )




			@abstractmethod
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )




			@abstractmethod
			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )




			@abstractmethod
			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )




			@abstractmethod
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )




			@abstractmethod
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )







			@abstractmethod
			def 				snake_case__				(							self      ,						snake_case=False     ):

						'''simple docstring'''


						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			def __init__(							self      ,						snake_case     ):

						'''simple docstring'''


						super(snake_case      ,						self     ).__init__()

						if not isinstance(snake_case      ,						snake_case     ) or len(snake_case     ) == 0:
									raise ValueError(F'''`token_ids` has to be a non-empty list, but is {token_ids}.'''     )
						if any((not isinstance(snake_case      ,						snake_case     ) or token_id < 0) for token_id in token_ids     ):
									raise ValueError(F'''Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.'''     )

						UpperCamelCase__					=       token_ids

						UpperCamelCase__					=       len(self.token_ids     )
						UpperCamelCase__					=       -1  # the index of the currently fulfilled step
						UpperCamelCase__					=       False




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						if self.completed:
									return None
						return self.token_ids[self.fulfilled_idx + 1]




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						if not isinstance(snake_case      ,						snake_case     ):
									raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(snake_case     )}'''     )

						if self.completed:
									return False

						return token_id == self.token_ids[self.fulfilled_idx + 1]




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						if not isinstance(snake_case      ,						snake_case     ):
									raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(snake_case     )}'''     )

						UpperCamelCase__					=       False
						UpperCamelCase__					=       False
						UpperCamelCase__					=       False

						if self.does_advance(snake_case     ):
									self.fulfilled_idx += 1
									UpperCamelCase__					=       True
									if self.fulfilled_idx == (self.seqlen - 1):
												UpperCamelCase__					=       True
									UpperCamelCase__					=       completed
						else:
									# failed to make progress.
									UpperCamelCase__					=       True
									self.reset()
						return stepped, completed, reset




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       False
						UpperCamelCase__					=       0




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						return self.seqlen - (self.fulfilled_idx + 1)







			def 				snake_case__				(							self      ,						snake_case=False     ):

						'''simple docstring'''


						UpperCamelCase__					=       PhrasalConstraint(self.token_ids     )

						if stateful:
									UpperCamelCase__					=       self.seqlen
									UpperCamelCase__					=       self.fulfilled_idx
									UpperCamelCase__					=       self.completed

						return new_constraint







class        lowerCamelCase__	:






			"""simple docstring"""






			def __init__(							self      ,						snake_case      ,						snake_case=True     ):

						'''simple docstring'''


						UpperCamelCase__					=       max([len(snake_case     ) for one in nested_token_ids]     )

						UpperCamelCase__					=       {}
						for token_ids in nested_token_ids:
									UpperCamelCase__					=       root
									for tidx, token_id in enumerate(snake_case     ):
												if token_id not in level:
															UpperCamelCase__					=       {}

												UpperCamelCase__					=       level[token_id]

						if no_subsets and self.has_subsets(snake_case      ,						snake_case     ):
									raise ValueError(
									    "Each list in `nested_token_ids` can't be a complete subset of another list, but is"
									    F''' {nested_token_ids}.'''     )

						UpperCamelCase__					=       root




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.trie

						for current_token in current_seq:
									UpperCamelCase__					=       start[current_token]

						UpperCamelCase__					=       list(start.keys()     )

						return next_tokens




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.next_tokens(snake_case     )

						return len(snake_case     ) == 0




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       list(root.values()     )
						if len(snake_case     ) == 0:
									return 1
						else:
									return sum([self.count_leaves(snake_case     ) for nn in next_nodes]     )







			def 				snake_case__				(							self      ,						snake_case      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.count_leaves(snake_case     )
						return len(snake_case     ) != leaf_count







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			def __init__(							self      ,						snake_case     ):

						'''simple docstring'''


						super(snake_case      ,						self     ).__init__()

						if not isinstance(snake_case      ,						snake_case     ) or len(snake_case     ) == 0:
									raise ValueError(F'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''     )
						if any(not isinstance(snake_case      ,						snake_case     ) for token_ids in nested_token_ids     ):
									raise ValueError(F'''`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.'''     )
						if any(
						    any((not isinstance(snake_case      ,						snake_case     ) or token_id < 0) for token_id in token_ids     )
						    for token_ids in nested_token_ids     ):
									raise ValueError(
									    F'''Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.'''     )

						UpperCamelCase__					=       DisjunctiveTrie(snake_case     )
						UpperCamelCase__					=       nested_token_ids

						UpperCamelCase__					=       self.trie.max_height
						UpperCamelCase__					=       []
						UpperCamelCase__					=       False




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.trie.next_tokens(self.current_seq     )

						if len(snake_case     ) == 0:
									return None
						else:
									return token_list




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						if not isinstance(snake_case      ,						snake_case     ):
									raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(snake_case     )}'''     )

						UpperCamelCase__					=       self.trie.next_tokens(self.current_seq     )

						return token_id in next_tokens




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						if not isinstance(snake_case      ,						snake_case     ):
									raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(snake_case     )}'''     )

						UpperCamelCase__					=       False
						UpperCamelCase__					=       False
						UpperCamelCase__					=       False

						if self.does_advance(snake_case     ):
									self.current_seq.append(snake_case     )
									UpperCamelCase__					=       True
						else:
									UpperCamelCase__					=       True
									self.reset()

						UpperCamelCase__					=       self.trie.reached_leaf(self.current_seq     )
						UpperCamelCase__					=       completed

						return stepped, completed, reset




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       False
						UpperCamelCase__					=       []




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						if self.completed:
									# since this can be completed without reaching max height
									return 0
						else:
									return self.seqlen - len(self.current_seq     )







			def 				snake_case__				(							self      ,						snake_case=False     ):

						'''simple docstring'''


						UpperCamelCase__					=       DisjunctiveConstraint(self.token_ids     )

						if stateful:
									UpperCamelCase__					=       self.seqlen
									UpperCamelCase__					=       self.current_seq
									UpperCamelCase__					=       self.completed

						return new_constraint







class        lowerCamelCase__	:






			"""simple docstring"""






			def __init__(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       constraints

						# max # of steps required to fulfill a given constraint
						UpperCamelCase__					=       max([c.seqlen for c in constraints]     )
						UpperCamelCase__					=       len(snake_case     )
						UpperCamelCase__					=       False

						self.init_state()




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       []
						UpperCamelCase__					=       None
						UpperCamelCase__					=       [constraint.copy(stateful=snake_case     ) for constraint in self.constraints]




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       0
						if self.inprogress_constraint:
									# extra points for having a constraint mid-fulfilled
									add += self.max_seqlen - self.inprogress_constraint.remaining()

						return (len(self.complete_constraints     ) * self.max_seqlen) + add




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       []
						if self.inprogress_constraint is None:
									for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
												UpperCamelCase__					=       constraint.advance()
												if isinstance(snake_case      ,						snake_case     ):
															token_list.append(snake_case     )
												elif isinstance(snake_case      ,						snake_case     ):
															token_list.extend(snake_case     )
						else:
									UpperCamelCase__					=       self.inprogress_constraint.advance()
									if isinstance(snake_case      ,						snake_case     ):
												token_list.append(snake_case     )
									elif isinstance(snake_case      ,						snake_case     ):
												token_list.extend(snake_case     )

						if len(snake_case     ) == 0:
									return None
						else:
									return token_list




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						self.init_state()

						if token_ids is not None:
									for token in token_ids:
												# completes or steps **one** constraint
												UpperCamelCase__,      UpperCamelCase__					=       self.add(snake_case     )

												# the entire list of constraints are fulfilled
												if self.completed:
															break




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						if not isinstance(snake_case      ,						snake_case     ):
									raise ValueError(F'''`token_id` should be an `int`, but is `{token_id}`.'''     )

						UpperCamelCase__,      UpperCamelCase__					=       False, False

						if self.completed:
									UpperCamelCase__					=       True
									UpperCamelCase__					=       False
									return complete, stepped

						if self.inprogress_constraint is not None:
									# In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
									# job, simply update the state

									UpperCamelCase__,      UpperCamelCase__,      UpperCamelCase__					=       self.inprogress_constraint.update(snake_case     )
									if reset:
												# 1. If the next token breaks the progress, then we must restart.
												#     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

												#     But that doesn't mean we self.init_state(), since we only reset the state for this particular
												#     constraint, not the full list of constraints.

												self.pending_constraints.append(self.inprogress_constraint.copy(stateful=snake_case     )     )
												UpperCamelCase__					=       None

									if complete:
												# 2. If the next token completes the constraint, move it to completed list, set
												#     inprogress to None. If there are no pending constraints either, then this full list of constraints
												#     is complete.

												self.complete_constraints.append(self.inprogress_constraint     )
												UpperCamelCase__					=       None

												if len(self.pending_constraints     ) == 0:
															# we're done!
															UpperCamelCase__					=       True

						else:
									# Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
									# of constraints?

									for cidx, pending_constraint in enumerate(self.pending_constraints     ):
												if pending_constraint.does_advance(snake_case     ):
															UpperCamelCase__,      UpperCamelCase__,      UpperCamelCase__					=       pending_constraint.update(snake_case     )

															if not stepped:
																		raise Exception(
																		    "`constraint.update(token_id)` is not yielding incremental progress, "
																		    "even though `constraint.does_advance(token_id)` is true."     )

															if complete:
																		self.complete_constraints.append(snake_case     )
																		UpperCamelCase__					=       None

															if not complete and stepped:
																		UpperCamelCase__					=       pending_constraint

															if complete or stepped:
																		# If we made any progress at all, then it's at least not a "pending constraint".

																		UpperCamelCase__					=       (
																		    self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
																		)

																		if len(self.pending_constraints     ) == 0 and self.inprogress_constraint is None:
																					# If there's no longer any pending after this and no inprogress either, then we must be
																					# complete.

																					UpperCamelCase__					=       True

																		break  # prevent accidentally stepping through multiple constraints with just one token.

						return complete, stepped







			def 				snake_case__				(							self      ,						snake_case=True     ):

						'''simple docstring'''


						UpperCamelCase__					=       ConstraintListState(self.constraints     )  # we actually never though self.constraints objects
						# throughout this process. So it's at initialization state.

						if stateful:
									UpperCamelCase__					=       [
									    constraint.copy(stateful=snake_case     ) for constraint in self.complete_constraints
									]
									if self.inprogress_constraint is not None:
												UpperCamelCase__					=       self.inprogress_constraint.copy(stateful=snake_case     )
									UpperCamelCase__					=       [constraint.copy() for constraint in self.pending_constraints]

						return new_state






import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil
@pytest.fixture
def        UpperCamelCase_(				_A   :Union[str, Any]  )->		int:
			UpperCamelCase__					=       tmp_path / "file.csv"
			UpperCamelCase__					=       textwrap.dedent(
			    "\\n        header1,header2\n        1,2\n        10,20\n        "  )
			with open(_A				,     "w"  ) as f:
						f.write(_A  )
			return str(_A  )
@pytest.fixture
def        UpperCamelCase_(				_A   :int  )->		Union[str, Any]:
			UpperCamelCase__					=       tmp_path / "malformed_file.csv"
			UpperCamelCase__					=       textwrap.dedent(
			    "\\n        header1,header2\n        1,2\n        10,20,\n        "  )
			with open(_A				,     "w"  ) as f:
						f.write(_A  )
			return str(_A  )
@pytest.fixture
def        UpperCamelCase_(				_A   :List[Any]				,     _A   :Dict  )->		Optional[Any]:
			UpperCamelCase__					=       tmp_path / "csv_with_image.csv"
			UpperCamelCase__					=       textwrap.dedent(
			    F'''\
        image
        {image_file}
        '''  )
			with open(_A				,     "w"  ) as f:
						f.write(_A  )
			return str(_A  )
@pytest.fixture
def        UpperCamelCase_(				_A   :List[Any]  )->		Any:
			UpperCamelCase__					=       tmp_path / "csv_with_label.csv"
			UpperCamelCase__					=       textwrap.dedent(
			    "\\n        label\n        good\n        bad\n        good\n        "  )
			with open(_A				,     "w"  ) as f:
						f.write(_A  )
			return str(_A  )
@pytest.fixture
def        UpperCamelCase_(				_A   :Any  )->		int:
			UpperCamelCase__					=       tmp_path / "csv_with_int_list.csv"
			UpperCamelCase__					=       textwrap.dedent(
			    "\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        "  )
			with open(_A				,     "w"  ) as f:
						f.write(_A  )
			return str(_A  )
def        UpperCamelCase_(				_A   :Optional[Any]				,     _A   :Optional[Any]				,     _A   :List[str]  )->		Union[str, Any]:
			UpperCamelCase__					=       Csv()
			UpperCamelCase__					=       csv._generate_tables([[csv_file, malformed_csv_file]]  )
			with pytest.raises(_A				,     match="Error tokenizing data"  ):
						for _ in generator:
									pass
			assert any(
			    record.levelname == "ERROR"
			    and "Failed to read file" in record.message
			    and os.path.basename(_A  ) in record.message
			    for record in caplog.records  )
@require_pil
def        UpperCamelCase_(				_A   :Any  )->		int:
			with open(_A				,     encoding="utf-8"  ) as f:
						UpperCamelCase__					=       f.read().splitlines()[1]
			UpperCamelCase__					=       Csv(encoding="utf-8"				,     features=Features({"image": Image()}  )  )
			UpperCamelCase__					=       csv._generate_tables([[csv_file_with_image]]  )
			UpperCamelCase__					=       pa.concat_tables([table for _, table in generator]  )
			assert pa_table.schema.field("image"  ).type == Image()()
			UpperCamelCase__					=       pa_table.to_pydict()["image"]
			assert generated_content == [{"path": image_file, "bytes": None}]
def        UpperCamelCase_(				_A   :Any  )->		Dict:
			with open(_A				,     encoding="utf-8"  ) as f:
						UpperCamelCase__					=       f.read().splitlines()[1:]
			UpperCamelCase__					=       Csv(encoding="utf-8"				,     features=Features({"label": ClassLabel(names=["good", "bad"]  )}  )  )
			UpperCamelCase__					=       csv._generate_tables([[csv_file_with_label]]  )
			UpperCamelCase__					=       pa.concat_tables([table for _, table in generator]  )
			assert pa_table.schema.field("label"  ).type == ClassLabel(names=["good", "bad"]  )()
			UpperCamelCase__					=       pa_table.to_pydict()["label"]
			assert generated_content == [ClassLabel(names=["good", "bad"]  ).straint(_A  ) for label in labels]







def        UpperCamelCase_(				_A   :Dict  )->		Optional[Any]:
			UpperCamelCase__					=       Csv(encoding="utf-8"				,     sep=","				,     converters={"int_list": lambda _A  : [int(_A  ) for i in x.split()]}  )
			UpperCamelCase__					=       csv._generate_tables([[csv_file_with_int_list]]  )
			UpperCamelCase__					=       pa.concat_tables([table for _, table in generator]  )
			assert pa.types.is_list(pa_table.schema.field("int_list"  ).type  )
			UpperCamelCase__					=       pa_table.to_pydict()["int_list"]
			assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]


