import logging
from pathlib import Path
from typing import Any, List, Tuple

import yaml


# loading package files: https://stackoverflow.com/a/20885799
try:
			import importlib.resources as pkg_resources
except ImportError:
			# Try backported to PY<37 `importlib_resources`.
			import importlib_resources as pkg_resources

from . import resources


_SCREAMING_SNAKE_CASE:						int    	=       '''https://github.com/huggingface/datasets/tree/main/src/datasets/utils'''
_SCREAMING_SNAKE_CASE:						List[str]    	=       F"{BASE_REF_URL}/{__file__}"
_SCREAMING_SNAKE_CASE:						int    	=       logging.getLogger(__name__)






def    UpperCAmelCase__(						lowerCamelCase_  ):



			"""simple docstring"""





			_snake_case              =      pkg_resources.read_text(_UpperCAmelCase							,	_UpperCAmelCase  )
			return yaml.safe_load(_UpperCAmelCase  ), f'{BASE_REF_URL}/resources/{resource}'


_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE:						Tuple    	=       load_yaml_resource('''readme_structure.yaml''')

_SCREAMING_SNAKE_CASE:						str    	=       [
    '''[Needs More Information]''',
    '''[More Information Needed]''',
    '''(https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)''',
]

# Dictionary representation of section/readme, error_list, warning_list
_SCREAMING_SNAKE_CASE:						Tuple    	=       Tuple[dict, List[str], List[str]]

class 	_SCREAMING_SNAKE_CASE							:






		"""simple docstring"""







		def __init__(			self    :				Optional[Any]  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				List[str] = None  ,					__SCREAMING_SNAKE_CASE    :				bool = False   ):






					"""simple docstring"""
					_snake_case              =      name
					_snake_case              =      level
					_snake_case              =      lines
					_snake_case              =      ""
					_snake_case              =      True
					_snake_case              =      {}
					_snake_case              =      []
					_snake_case              =      []
					if self.lines is not None:
								self.parse(suppress_parsing_errors=SCREAMING_SNAKE_CASE_   )



		def 				_a				(			self    :				Optional[Any]  ,					__SCREAMING_SNAKE_CASE    :				bool = False   ):






					"""simple docstring"""
					_snake_case              =      ""
					_snake_case              =      []
					_snake_case              =      False
					for line in self.lines:
								if line.strip(" \n"   ) == "":
											continue
								elif line.strip(" \n"   )[:3] == "```":
											_snake_case              =      not code_start
								elif line.split()[0] == self.level + "#" and not code_start:
											if current_sub_level != "":
														_snake_case              =      Section(SCREAMING_SNAKE_CASE_  ,					self.level + "#"  ,					SCREAMING_SNAKE_CASE_   )
														_snake_case              =      []
											else:
														if current_lines != []:
																	self.text += "".join(SCREAMING_SNAKE_CASE_   ).strip()
																	if self.text != "" and self.text not in FILLER_TEXT:
																				_snake_case              =      False
																	_snake_case              =      []

											_snake_case              =      " ".join(line.split()[1:]   ).strip(" \n"   )
								else:
											current_lines.append(SCREAMING_SNAKE_CASE_   )
					else:
								if current_sub_level != "":
											if current_sub_level in self.content:
														self.parsing_error_list.append(
														    F'Multiple sections with the same heading `{current_sub_level}` have been found. Please keep only one of these sections.'   )
											_snake_case              =      Section(SCREAMING_SNAKE_CASE_  ,					self.level + "#"  ,					SCREAMING_SNAKE_CASE_   )
								else:
											if current_lines != []:
														self.text += "".join(SCREAMING_SNAKE_CASE_   ).strip()
														if self.text != "" and self.text not in FILLER_TEXT:
																	_snake_case              =      False

					if self.level == "" and not suppress_parsing_errors:
								if self.parsing_error_list != [] or self.parsing_warning_list != []:
											_snake_case              =      _snake_case              =      "\n".join("-\t" + x for x in self.parsing_error_list + self.parsing_warning_list   )
											_snake_case              =      F'The following issues were found while parsing the README at `{self.name}`:\n' + errors
											raise ValueError(SCREAMING_SNAKE_CASE_   )



		def 				_a				(			self    :				Dict  ,					__SCREAMING_SNAKE_CASE    :				dict   ):






					"""simple docstring"""
					_snake_case              =      []
					_snake_case              =      []
					if structure["allow_empty"] is False:
								# If content is expected
								if self.is_empty_text and self.content == {}:
											# If no content is found, mention it in the error_list
											error_list.append(F'Expected some content in section `{self.name}` but it is empty.'   )

					if structure["allow_empty_text"] is False:
								# If some text is expected
								if self.is_empty_text:
											# If no text is found, mention it in the error_list
											error_list.append(
											    F'Expected some text in section `{self.name}` but it is empty (text in subsections are ignored).'   )
        # Subsections Validation
					if structure["subsections"] is not None:
								# If subsections are expected
								if self.content == {}:
											# If no subsections are present
											_snake_case              =      [subsection["name"] for subsection in structure["subsections"]]
											# Mention the expected values in the error_list
											error_list.append(
											    F'Section `{self.name}` expected the following subsections: {", ".join(["`"+x+"`" for x in values]   )}. Found \'None\'.'   )
								else:
											# If some subsections are present
											_snake_case              =      [subsection["name"] for subsection in structure["subsections"]]
											_snake_case              =      False
											for idx, name in enumerate(SCREAMING_SNAKE_CASE_   ):
														if name not in self.content:
																	# If the expected subsection is not present
																	error_list.append(F'Section `{self.name}` is missing subsection: `{name}`.'   )
																	_snake_case              =      True
														else:
																	# If the subsection is present, validate subsection, return the result
																	# and concat the errors from subsection to section error_list

																	# Skip sublevel validation if current level is `###`
																	if self.level == "###":
																				continue
																	else:
																				_snake_case       , _snake_case       , _snake_case              =      self.content[name].validate(
																				    structure["subsections"][idx]   )
																	error_list += subsec_error_list
																	warning_list += subsec_warning_list

											if has_missing_subsections:  # we only allow to have extra subsections if all the other ones are here
														for name in self.content:
																	if name not in structure_names:
																				# If an extra subsection is present
																				warning_list.append(
																				    F'`{self.name}` has an extra subsection: `{name}`. Skipping further validation checks for this subsection as expected structure is unknown.'   )
					if error_list:
								# If there are errors, do not return the dictionary as it is invalid
								return {}, error_list, warning_list
					else:
								return self.to_dict(), error_list, warning_list







		def 				_a				(			self    :				Optional[Any]   ):






					"""simple docstring"""
					return {
					    "name": self.name,
					    "text": self.text,
					    "is_empty_text": self.is_empty_text,
					    "subsections": [value.to_dict() for value in self.content.values()],
					}

class 	_SCREAMING_SNAKE_CASE							(     lowerCamelCase__							):  # Level 0






		"""simple docstring"""







		def __init__(			self    :				Optional[int]  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				List[str]  ,					__SCREAMING_SNAKE_CASE    :				dict = None  ,					__SCREAMING_SNAKE_CASE    :				bool = False   ):






					"""simple docstring"""
					super().__init__(name=SCREAMING_SNAKE_CASE_  ,					level=""   )  # Not using lines here as we need to use a child class parse
					_snake_case              =      structure
					_snake_case              =      -2
					_snake_case              =      0
					_snake_case              =      lines
					if self.lines is not None:
								self.parse(suppress_parsing_errors=SCREAMING_SNAKE_CASE_   )



		def 				_a				(			self    :				Tuple   ):






					"""simple docstring"""
					if self.structure is None:
								_snake_case       , _snake_case       , _snake_case              =      self._validate(SCREAMING_SNAKE_CASE_   )
					else:
								_snake_case       , _snake_case       , _snake_case              =      self._validate(self.structure   )
					if error_list != [] or warning_list != []:
								_snake_case              =      "\n".join(["-\t" + x for x in error_list + warning_list]   )
								_snake_case              =      F'The following issues were found for the README at `{self.name}`:\n' + errors
								raise ValueError(SCREAMING_SNAKE_CASE_   )



		@classmethod
		def 				_a				(			cls    :				Optional[int]  ,					__SCREAMING_SNAKE_CASE    :				Path  ,					__SCREAMING_SNAKE_CASE    :				dict = None  ,					__SCREAMING_SNAKE_CASE    :				bool = False   ):






					"""simple docstring"""
					with open(SCREAMING_SNAKE_CASE_  ,					encoding="utf-8"   ) as f:
								_snake_case              =      f.readlines()
					return cls(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					suppress_parsing_errors=SCREAMING_SNAKE_CASE_   )



		@classmethod
		def 				_a				(			cls    :				Any  ,					__SCREAMING_SNAKE_CASE    :				str  ,					__SCREAMING_SNAKE_CASE    :				dict = None  ,					__SCREAMING_SNAKE_CASE    :				str = "root"  ,					__SCREAMING_SNAKE_CASE    :				bool = False   ):






					"""simple docstring"""
					_snake_case              =      string.split("\n"   )
					return cls(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					suppress_parsing_errors=SCREAMING_SNAKE_CASE_   )



		def 				_a				(			self    :				int  ,					__SCREAMING_SNAKE_CASE    :				bool = False   ):






					"""simple docstring"""
					# Skip Tags
					_snake_case              =      0

					for line in self.lines:
								self.yaml_tags_line_count += 1
								if line.strip(" \n"   ) == "---":
											self.tag_count += 1
											if self.tag_count == 2:
														break
								line_count += 1
					if self.tag_count == 2:
								_snake_case              =      self.lines[line_count + 1 :]  # Get the last + 1 th item.
					else:
								_snake_case              =      self.lines[self.tag_count :]
					super().parse(suppress_parsing_errors=SCREAMING_SNAKE_CASE_   )



		def __str__(			self    :				Optional[Any]   ):






					"""simple docstring"""
					return str(self.to_dict()   )







		def 				_a				(			self    :				int  ,					__SCREAMING_SNAKE_CASE    :				Optional[Any]   ):






					"""simple docstring"""
					_snake_case              =      []
					_snake_case              =      []
					if self.yaml_tags_line_count == 0:
								warning_list.append("Empty YAML markers are present in the README."   )
					elif self.tag_count == 0:
								warning_list.append("No YAML markers are present in the README."   )
					elif self.tag_count == 1:
								warning_list.append("Only the start of YAML tags present in the README."   )
					# Check how many first level sections are present.
					_snake_case              =      len(self.content.keys()   )
					if num_first_level_keys > 1:
								# If more than one, add to the error list, continue
								error_list.append(
								    F'The README has several first-level headings: {", ".join(["`"+x+"`" for x in list(self.content.keys()   )]   )}. Only one heading is expected. Skipping further validation for this README.'   )
					elif num_first_level_keys < 1:
								# If less than one, append error.
								error_list.append(
								    "The README has no first-level headings. One heading is expected. Skipping further validation for this README."   )

					else:
								# If one exactly
								_snake_case              =      list(self.content.keys()   )[0]  # Get the key
								if start_key.startswith("Dataset Card for"   ):  # Check correct start
											# If the starting is correct, validate all the sections
											_snake_case       , _snake_case       , _snake_case              =      self.content[start_key].validate(
											    readme_structure["subsections"][0]   )
											error_list += sec_error_list
											warning_list += sec_warning_list
								else:
											# If not found, append error
											error_list.append(
											    "No first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README."   )
					if error_list:
								# If there are errors, do not return the dictionary as it is invalid
								return {}, error_list, warning_list
					else:
								return self.to_dict(), error_list, warning_list


if __name__ == "__main__":
			from argparse import ArgumentParser

			_SCREAMING_SNAKE_CASE:						str    	=       ArgumentParser(usage='''Validate the content (excluding YAML tags) of a README.md file.''')
			ap.add_argument('''readme_filepath''')
			_SCREAMING_SNAKE_CASE:						int    	=       ap.parse_args()
			_SCREAMING_SNAKE_CASE:						Union[str, Any]    	=       Path(args.readme_filepath)
			_SCREAMING_SNAKE_CASE:						str    	=       ReadMe.from_readme(readme_filepath)


def    UpperCAmelCase__(						lowerCamelCase_							,	lowerCamelCase_  ):



			"""simple docstring"""





			_snake_case              =      sorted(lowerCamelCase_							,	key=lambda lowerCamelCase_  : value[2]							,	reverse=lowerCamelCase_  )

			# Create a list of size equal to the maximum deadline
			# and initialize it with -1
			_snake_case              =      max(lowerCamelCase_							,	key=lambda lowerCamelCase_  : value[1]  )[1]
			_snake_case              =      [-1] * max_deadline

			# Finding the maximum profit and the count of jobs
			_snake_case              =      0
			_snake_case              =      0
			for job in jobs:
						# Find a free time slot for this job
						# (Note that we start from the last possible slot)
						for i in range(job[1] - 1							,	-1							,	-1  ):
									if time_slots[i] == -1:
												_snake_case              =      job[0]
												count += 1
												max_profit += job[2]
												break
			return [count, max_profit]


if __name__ == "__main__":
			import doctest

			doctest.testmod()

