




"""simple docstring"""







import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type

from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterator
from tqdm import tqdm


a      =							re.compile('[^A-Za-z_0-9]')
# parameters used in DuplicationIndex
a      =							1_0
a      =							2_5_6





def 							lowercase					(snake_case__   : List[str] )     ->  Optional[MinHash]:


				'''simple docstring'''






				if len(snake_case__ ) < MIN_NUM_TOKENS:
								return None
				lowerCAmelCase  =				MinHash(num_perm=snake_case__ )
				for token in set(snake_case__ ):
								min_hash.update(token.encode() )
				return min_hash





def 							lowercase					(snake_case__   : str )     ->  Set[str]:


				'''simple docstring'''






				return {t for t in NON_ALPHA.split(snake_case__ ) if len(t.strip() ) > 0}






class       SCREAMING_SNAKE_CASE__					:


						def __init__(							self				:			Optional[Any]						,						*,
						    lowerCAmelCase				:			float = 0.85						,						):
										lowerCAmelCase  =				duplication_jaccard_threshold
										lowerCAmelCase  =				NUM_PERM
										lowerCAmelCase  =				MinHashLSH(threshold=self._duplication_jaccard_threshold						,						num_perm=self._num_perm					)

										lowerCAmelCase  =				defaultdict(lowerCAmelCase					)


						def   __lowercase (							self				:			List[Any]						,						lowerCAmelCase				:			Tuple						,						lowerCAmelCase				:			MinHash					):
										lowerCAmelCase  =				self._index.query(lowerCAmelCase					)
										if code_key in self._index.keys:
														print(f'''Duplicate key {code_key}'''					)
														return

										self._index.insert(lowerCAmelCase						,						lowerCAmelCase					)
										if len(lowerCAmelCase					) > 0:
														for base_duplicate in close_duplicates:
																		if base_duplicate in self._duplicate_clusters:
																						self._duplicate_clusters[base_duplicate].add(lowerCAmelCase					)
																						break
														else:
																		self._duplicate_clusters[close_duplicates[0]].add(lowerCAmelCase					)


						def   __lowercase (							self				:			Optional[int]					):
										lowerCAmelCase  =				[]
										for base, duplicates in self._duplicate_clusters.items():
														lowerCAmelCase  =				[base] + list(lowerCAmelCase					)
														# reformat the cluster to be a list of dict
														lowerCAmelCase  =				[{"""base_index""": el[0], """repo_name""": el[1], """path""": el[2]} for el in cluster]
														duplicate_clusters.append(lowerCAmelCase					)
										return duplicate_clusters




						def   __lowercase (							self				:			str						,						lowerCAmelCase				:			Union[str, Any]					):
										lowerCAmelCase  =				self.get_duplicate_clusters()
										with open(lowerCAmelCase						,						"""w"""					) as f:
														json.dump(lowerCAmelCase						,						lowerCAmelCase					)





def 							lowercase					(snake_case__   : str )     ->  List[str]:


				'''simple docstring'''






				lowerCAmelCase ,						lowerCAmelCase  =				element
				lowerCAmelCase  =				get_min_hash([t for t in NON_ALPHA.split(data["""content"""] ) if len(t.strip() ) > 0] )
				if min_hash is not None:
								return (index, data["repo_name"], data["path"]), min_hash





def 							lowercase					(snake_case__   : Type[Dataset] )     ->  Tuple:


				'''simple docstring'''






				with mp.Pool() as pool:
								for data in pool.imap_unordered(
								    _compute_min_hash      ,       ThreadedIterator(snake_case__      ,       max_queue_size=10_000 )      ,       chunksize=100      ,       ):
												if data is not None:
																yield data





def 							lowercase					(snake_case__   : Type[Dataset]      ,       snake_case__   : float )     ->  Tuple:


				'''simple docstring'''






				lowerCAmelCase  =				DuplicationIndex(duplication_jaccard_threshold=snake_case__ )

				for filename, min_hash in tqdm(ThreadedIterator(minhash_iter(enumerate(snake_case__ ) )      ,       max_queue_size=100 ) ):
								di.add(snake_case__      ,       snake_case__ )

				# Returns a List[Cluster] where Cluster is List[str] with the filenames.
				return di.get_duplicate_clusters()





def 							lowercase					(snake_case__   : str      ,       snake_case__   : str )     ->  float:


				'''simple docstring'''






				lowerCAmelCase  =				get_tokens(snake_case__ )
				lowerCAmelCase  =				get_tokens(snake_case__ )
				return len(tokensa & tokensa ) / len(tokensa | tokensa )


a      =							None





def 							lowercase					(snake_case__   : Dict      ,       snake_case__   : Union[str, Any] )     ->  Any:


				'''simple docstring'''






				lowerCAmelCase  =				[]
				for elementa in cluster:
								lowerCAmelCase  =				_shared_dataset[elementa["""base_index"""]]["""content"""]
								for elementa in extremes:
												lowerCAmelCase  =				_shared_dataset[elementa["""base_index"""]]["""content"""]
												if jaccard_similarity(snake_case__      ,       snake_case__ ) >= jaccard_threshold:
																elementa["copies"] += 1
																break
								else:
												lowerCAmelCase  =				1
												extremes.append(snake_case__ )
				return extremes





def 							lowercase					(snake_case__   : Tuple      ,       snake_case__   : Dict      ,       snake_case__   : int )     ->  Dict:


				'''simple docstring'''






				global _shared_dataset
				lowerCAmelCase  =				dataset
				lowerCAmelCase  =				[]
				lowerCAmelCase  =				partial(_find_cluster_extremes_shared      ,       jaccard_threshold=snake_case__ )
				with mp.Pool() as pool:
								for extremes in tqdm(
								    pool.imap_unordered(
								        snake_case__      ,       snake_case__      ,       )      ,       total=len(snake_case__ )      ,       ):
												extremes_list.append(snake_case__ )
				return extremes_list






def 							lowercase					(snake_case__   : Type[Dataset]      ,       snake_case__   : float = 0.85 )     ->  Tuple[Type[Dataset], List[List[Dict]]]:


				'''simple docstring'''






				lowerCAmelCase  =				make_duplicate_clusters(snake_case__      ,       snake_case__ )
				lowerCAmelCase  =				{x["""base_index"""] for cluster in duplicate_clusters for x in cluster}
				lowerCAmelCase  =				{}
				lowerCAmelCase  =				find_extremes(snake_case__      ,       snake_case__      ,       snake_case__ )
				for extremes in extremes_clusters:
								for element in extremes:
												lowerCAmelCase  =				element
				lowerCAmelCase  =				duplicate_indices - set(extreme_dict.keys() )
				lowerCAmelCase  =				dataset.filter(lambda snake_case__      ,       snake_case__ : idx not in remove_indices      ,       with_indices=snake_case__ )

				# update duplicate_clusters
				for cluster in duplicate_clusters:
								for element in cluster:
												lowerCAmelCase  =				element["""base_index"""] in extreme_dict
												if element["is_extreme"]:
																lowerCAmelCase  =				extreme_dict[element["""base_index"""]]["""copies"""]

				print(f'''Original dataset size: {len(snake_case__ )}''' )
				print(f'''Number of duplicate clusters: {len(snake_case__ )}''' )
				print(f'''Files in duplicate cluster: {len(snake_case__ )}''' )
				print(f'''Unique files in duplicate cluster: {len(snake_case__ )}''' )
				print(f'''Filtered dataset size: {len(snake_case__ )}''' )

				return ds_filter, duplicate_clusters











"""simple docstring"""







from collections import deque
from math import floor
from random import random
from time import time






class       SCREAMING_SNAKE_CASE__					:


						def __init__(							self				:			Union[str, Any]					):
										lowerCAmelCase  =				{}


						def   __lowercase (							self				:			Optional[int]						,						lowerCAmelCase				:			Union[str, Any]						,						lowerCAmelCase				:			Optional[Any]						,						lowerCAmelCase				:			Union[str, Any]=1					):
										if self.graph.get(lowerCAmelCase					):
														if self.graph[u].count([w, v]					) == 0:
																		self.graph[u].append([w, v]					)
										else:
														lowerCAmelCase  =				[[w, v]]
										if not self.graph.get(lowerCAmelCase					):
														lowerCAmelCase  =				[]


						def   __lowercase (							self				:			Optional[int]					):
										return list(self.graph					)


						def   __lowercase (							self				:			Optional[Any]						,						lowerCAmelCase				:			Optional[Any]						,						lowerCAmelCase				:			Dict					):
										if self.graph.get(lowerCAmelCase					):
														for _ in self.graph[u]:
																		if _[1] == v:
																						self.graph[u].remove(lowerCAmelCase					)


						def   __lowercase (							self				:			List[str]						,						lowerCAmelCase				:			Tuple=-2						,						lowerCAmelCase				:			List[Any]=-1					):
										if s == d:
														return []
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]
										if s == -2:
														lowerCAmelCase  =				list(self.graph					)[0]
										stack.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										lowerCAmelCase  =				s

										while True:
														# check if there is any non isolated nodes
														if len(self.graph[s]					) != 0:
																		lowerCAmelCase  =				s
																		for node in self.graph[s]:
																						if visited.count(node[1]					) < 1:
																										if node[1] == d:
																														visited.append(lowerCAmelCase					)
																														return visited
																										else:
																														stack.append(node[1]					)
																														visited.append(node[1]					)
																														lowerCAmelCase  =				node[1]
																														break

            # check if all the children are visited
														if s == ss:
																		stack.pop()
																		if len(lowerCAmelCase					) != 0:
																						lowerCAmelCase  =				stack[len(lowerCAmelCase					) - 1]
														else:
																		lowerCAmelCase  =				ss

														# check if se have reached the starting point
														if len(lowerCAmelCase					) == 0:
																		return visited


						def   __lowercase (							self				:			Tuple						,						lowerCAmelCase				:			Any=-1					):
										if c == -1:
														lowerCAmelCase  =				floor(random() * 1_0000					) + 10
										for i in range(lowerCAmelCase					):
														# every vertex has max 100 edges
														for _ in range(floor(random() * 102					) + 1					):
																		lowerCAmelCase  =				floor(random() * c					) + 1
																		if n != i:
																						self.add_pair(lowerCAmelCase						,						lowerCAmelCase						,						1					)


						def   __lowercase (							self				:			Optional[int]						,						lowerCAmelCase				:			List[str]=-2					):
										lowerCAmelCase  =				deque()
										lowerCAmelCase  =				[]
										if s == -2:
														lowerCAmelCase  =				list(self.graph					)[0]
										d.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										while d:
														lowerCAmelCase  =				d.popleft()
														if len(self.graph[s]					) != 0:
																		for node in self.graph[s]:
																						if visited.count(node[1]					) < 1:
																										d.append(node[1]					)
																										visited.append(node[1]					)
										return visited


						def   __lowercase (							self				:			List[Any]						,						lowerCAmelCase				:			Union[str, Any]					):
										lowerCAmelCase  =				0
										for x in self.graph:
														for y in self.graph[x]:
																		if y[1] == u:
																						count += 1
										return count


						def   __lowercase (							self				:			int						,						lowerCAmelCase				:			Tuple					):
										return len(self.graph[u]					)


						def   __lowercase (							self				:			Optional[int]						,						lowerCAmelCase				:			Optional[Any]=-2					):
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]
										if s == -2:
														lowerCAmelCase  =				list(self.graph					)[0]
										stack.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										lowerCAmelCase  =				s
										lowerCAmelCase  =				[]

										while True:
														# check if there is any non isolated nodes
														if len(self.graph[s]					) != 0:
																		lowerCAmelCase  =				s
																		for node in self.graph[s]:
																						if visited.count(node[1]					) < 1:
																										stack.append(node[1]					)
																										visited.append(node[1]					)
																										lowerCAmelCase  =				node[1]
																										break

            # check if all the children are visited
														if s == ss:
																		sorted_nodes.append(stack.pop()					)
																		if len(lowerCAmelCase					) != 0:
																						lowerCAmelCase  =				stack[len(lowerCAmelCase					) - 1]
														else:
																		lowerCAmelCase  =				ss

														# check if se have reached the starting point
														if len(lowerCAmelCase					) == 0:
																		return sorted_nodes


						def   __lowercase (							self				:			Any					):
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				list(self.graph					)[0]
										stack.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										lowerCAmelCase  =				-2
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				s
										lowerCAmelCase  =				False
										lowerCAmelCase  =				set()

										while True:
														# check if there is any non isolated nodes
														if len(self.graph[s]					) != 0:
																		lowerCAmelCase  =				s
																		for node in self.graph[s]:
																						if (
																						    visited.count(node[1]					) > 0
																						    and node[1] != parent
																						    and indirect_parents.count(node[1]					) > 0
																						    and not on_the_way_back
																						):
																										lowerCAmelCase  =				len(lowerCAmelCase					) - 1
																										while len_stack >= 0:
																														if stack[len_stack] == node[1]:
																																		anticipating_nodes.add(node[1]					)
																																		break
																														else:
																																		anticipating_nodes.add(stack[len_stack]					)
																																		len_stack -= 1
																						if visited.count(node[1]					) < 1:
																										stack.append(node[1]					)
																										visited.append(node[1]					)
																										lowerCAmelCase  =				node[1]
																										break

            # check if all the children are visited
														if s == ss:
																		stack.pop()
																		lowerCAmelCase  =				True
																		if len(lowerCAmelCase					) != 0:
																						lowerCAmelCase  =				stack[len(lowerCAmelCase					) - 1]
														else:
																		lowerCAmelCase  =				False
																		indirect_parents.append(lowerCAmelCase					)
																		lowerCAmelCase  =				s
																		lowerCAmelCase  =				ss

														# check if se have reached the starting point
														if len(lowerCAmelCase					) == 0:
																		return list(lowerCAmelCase					)


						def   __lowercase (							self				:			Tuple					):
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				list(self.graph					)[0]
										stack.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										lowerCAmelCase  =				-2
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				s
										lowerCAmelCase  =				False
										lowerCAmelCase  =				set()

										while True:
														# check if there is any non isolated nodes
														if len(self.graph[s]					) != 0:
																		lowerCAmelCase  =				s
																		for node in self.graph[s]:
																						if (
																						    visited.count(node[1]					) > 0
																						    and node[1] != parent
																						    and indirect_parents.count(node[1]					) > 0
																						    and not on_the_way_back
																						):
																										lowerCAmelCase  =				len(lowerCAmelCase					) - 1
																										while len_stack_minus_one >= 0:
																														if stack[len_stack_minus_one] == node[1]:
																																		anticipating_nodes.add(node[1]					)
																																		break
																														else:
																																		return True
																						if visited.count(node[1]					) < 1:
																										stack.append(node[1]					)
																										visited.append(node[1]					)
																										lowerCAmelCase  =				node[1]
																										break

            # check if all the children are visited
														if s == ss:
																		stack.pop()
																		lowerCAmelCase  =				True
																		if len(lowerCAmelCase					) != 0:
																						lowerCAmelCase  =				stack[len(lowerCAmelCase					) - 1]
														else:
																		lowerCAmelCase  =				False
																		indirect_parents.append(lowerCAmelCase					)
																		lowerCAmelCase  =				s
																		lowerCAmelCase  =				ss

														# check if se have reached the starting point
														if len(lowerCAmelCase					) == 0:
																		return False


						def   __lowercase (							self				:			List[Any]						,						lowerCAmelCase				:			Any=-2						,						lowerCAmelCase				:			Tuple=-1					):
										lowerCAmelCase  =				time()
										self.dfs(lowerCAmelCase						,						lowerCAmelCase					)
										lowerCAmelCase  =				time()
										return end - begin




						def   __lowercase (							self				:			int						,						lowerCAmelCase				:			str=-2					):
										lowerCAmelCase  =				time()
										self.bfs(lowerCAmelCase					)
										lowerCAmelCase  =				time()
										return end - begin






class       SCREAMING_SNAKE_CASE__					:


						def __init__(							self				:			int					):
										lowerCAmelCase  =				{}


						def   __lowercase (							self				:			Optional[Any]						,						lowerCAmelCase				:			Tuple						,						lowerCAmelCase				:			str						,						lowerCAmelCase				:			str=1					):
										# check if the u exists
										if self.graph.get(lowerCAmelCase					):
														# if there already is a edge
														if self.graph[u].count([w, v]					) == 0:
																		self.graph[u].append([w, v]					)
										else:
														# if u does not exist
														lowerCAmelCase  =				[[w, v]]
										# add the other way
										if self.graph.get(lowerCAmelCase					):
														# if there already is a edge
														if self.graph[v].count([w, u]					) == 0:
																		self.graph[v].append([w, u]					)
										else:
														# if u does not exist
														lowerCAmelCase  =				[[w, u]]


						def   __lowercase (							self				:			Dict						,						lowerCAmelCase				:			Any						,						lowerCAmelCase				:			int					):
										if self.graph.get(lowerCAmelCase					):
														for _ in self.graph[u]:
																		if _[1] == v:
																						self.graph[u].remove(lowerCAmelCase					)
        # the other way round
										if self.graph.get(lowerCAmelCase					):
														for _ in self.graph[v]:
																		if _[1] == u:
																						self.graph[v].remove(lowerCAmelCase					)


						def   __lowercase (							self				:			Dict						,						lowerCAmelCase				:			Optional[int]=-2						,						lowerCAmelCase				:			Optional[Any]=-1					):
										if s == d:
														return []
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]
										if s == -2:
														lowerCAmelCase  =				list(self.graph					)[0]
										stack.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										lowerCAmelCase  =				s

										while True:
														# check if there is any non isolated nodes
														if len(self.graph[s]					) != 0:
																		lowerCAmelCase  =				s
																		for node in self.graph[s]:
																						if visited.count(node[1]					) < 1:
																										if node[1] == d:
																														visited.append(lowerCAmelCase					)
																														return visited
																										else:
																														stack.append(node[1]					)
																														visited.append(node[1]					)
																														lowerCAmelCase  =				node[1]
																														break

            # check if all the children are visited
														if s == ss:
																		stack.pop()
																		if len(lowerCAmelCase					) != 0:
																						lowerCAmelCase  =				stack[len(lowerCAmelCase					) - 1]
														else:
																		lowerCAmelCase  =				ss

														# check if se have reached the starting point
														if len(lowerCAmelCase					) == 0:
																		return visited


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			Dict=-1					):
										if c == -1:
														lowerCAmelCase  =				floor(random() * 1_0000					) + 10
										for i in range(lowerCAmelCase					):
														# every vertex has max 100 edges
														for _ in range(floor(random() * 102					) + 1					):
																		lowerCAmelCase  =				floor(random() * c					) + 1
																		if n != i:
																						self.add_pair(lowerCAmelCase						,						lowerCAmelCase						,						1					)


						def   __lowercase (							self				:			int						,						lowerCAmelCase				:			Tuple=-2					):
										lowerCAmelCase  =				deque()
										lowerCAmelCase  =				[]
										if s == -2:
														lowerCAmelCase  =				list(self.graph					)[0]
										d.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										while d:
														lowerCAmelCase  =				d.popleft()
														if len(self.graph[s]					) != 0:
																		for node in self.graph[s]:
																						if visited.count(node[1]					) < 1:
																										d.append(node[1]					)
																										visited.append(node[1]					)
										return visited


						def   __lowercase (							self				:			List[str]						,						lowerCAmelCase				:			str					):
										return len(self.graph[u]					)


						def   __lowercase (							self				:			Optional[Any]					):
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				list(self.graph					)[0]
										stack.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										lowerCAmelCase  =				-2
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				s
										lowerCAmelCase  =				False
										lowerCAmelCase  =				set()

										while True:
														# check if there is any non isolated nodes
														if len(self.graph[s]					) != 0:
																		lowerCAmelCase  =				s
																		for node in self.graph[s]:
																						if (
																						    visited.count(node[1]					) > 0
																						    and node[1] != parent
																						    and indirect_parents.count(node[1]					) > 0
																						    and not on_the_way_back
																						):
																										lowerCAmelCase  =				len(lowerCAmelCase					) - 1
																										while len_stack >= 0:
																														if stack[len_stack] == node[1]:
																																		anticipating_nodes.add(node[1]					)
																																		break
																														else:
																																		anticipating_nodes.add(stack[len_stack]					)
																																		len_stack -= 1
																						if visited.count(node[1]					) < 1:
																										stack.append(node[1]					)
																										visited.append(node[1]					)
																										lowerCAmelCase  =				node[1]
																										break

            # check if all the children are visited
														if s == ss:
																		stack.pop()
																		lowerCAmelCase  =				True
																		if len(lowerCAmelCase					) != 0:
																						lowerCAmelCase  =				stack[len(lowerCAmelCase					) - 1]
														else:
																		lowerCAmelCase  =				False
																		indirect_parents.append(lowerCAmelCase					)
																		lowerCAmelCase  =				s
																		lowerCAmelCase  =				ss

														# check if se have reached the starting point
														if len(lowerCAmelCase					) == 0:
																		return list(lowerCAmelCase					)


						def   __lowercase (							self				:			int					):
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				list(self.graph					)[0]
										stack.append(lowerCAmelCase					)
										visited.append(lowerCAmelCase					)
										lowerCAmelCase  =				-2
										lowerCAmelCase  =				[]
										lowerCAmelCase  =				s
										lowerCAmelCase  =				False
										lowerCAmelCase  =				set()

										while True:
														# check if there is any non isolated nodes
														if len(self.graph[s]					) != 0:
																		lowerCAmelCase  =				s
																		for node in self.graph[s]:
																						if (
																						    visited.count(node[1]					) > 0
																						    and node[1] != parent
																						    and indirect_parents.count(node[1]					) > 0
																						    and not on_the_way_back
																						):
																										lowerCAmelCase  =				len(lowerCAmelCase					) - 1
																										while len_stack_minus_one >= 0:
																														if stack[len_stack_minus_one] == node[1]:
																																		anticipating_nodes.add(node[1]					)
																																		break
																														else:
																																		return True
																						if visited.count(node[1]					) < 1:
																										stack.append(node[1]					)
																										visited.append(node[1]					)
																										lowerCAmelCase  =				node[1]
																										break

            # check if all the children are visited
														if s == ss:
																		stack.pop()
																		lowerCAmelCase  =				True
																		if len(lowerCAmelCase					) != 0:
																						lowerCAmelCase  =				stack[len(lowerCAmelCase					) - 1]
														else:
																		lowerCAmelCase  =				False
																		indirect_parents.append(lowerCAmelCase					)
																		lowerCAmelCase  =				s
																		lowerCAmelCase  =				ss

														# check if se have reached the starting point
														if len(lowerCAmelCase					) == 0:
																		return False


						def   __lowercase (							self				:			str					):
										return list(self.graph					)


						def   __lowercase (							self				:			Dict						,						lowerCAmelCase				:			Dict=-2						,						lowerCAmelCase				:			List[str]=-1					):
										lowerCAmelCase  =				time()
										self.dfs(lowerCAmelCase						,						lowerCAmelCase					)
										lowerCAmelCase  =				time()
										return end - begin




						def   __lowercase (							self				:			str						,						lowerCAmelCase				:			Union[str, Any]=-2					):
										lowerCAmelCase  =				time()
										self.bfs(lowerCAmelCase					)
										lowerCAmelCase  =				time()
										return end - begin





