from reader import Reader
from random import random
import multiprocessing
from tqdm import tqdm
class NTriplesReader(Reader):
	"""Reader of rdf graphs"""

	def __init__(self, file_path, prob, include_dataprop):
		"""
		Arguments:

		file_path -- the path to the single file containing the knwoledge graphs
		prob -- probability of keeping each triple when reading the graph.
		If 1.0, the entire graph is kept. If lesser than one, the final graph has reduced size.
		include_dataprop -- whether or not to store data properties
		"""

		self.file_path = file_path
		self.prob = prob
		self.include_dataprop = include_dataprop
		self.number_lines = 0

	def read(self):
		"""
		Reads the graph using the parameters specified in the constructor.
		Expects each line to contain a triple with the source first, then the relation, then the target, separated by white spaces.

		Returns: a tuple with:
		1: a dictionary with the entities as keys (their names) as degree information as values.
		Each value is a dictionary with the outwards degree ("out_degree key"), inwards degree ("in_degree key"), total degree ("degree" key), and the data properties ("data_properties" key).
		2: a set with the name of the relations in the graph
		3: a set with the edges in the graph. Each edge is a tuple with the name of the relation, the source entity, and the target entity.
		"""
		entities = dict()
		relations = set()
		edges = set()
		with open(self.file_path, encoding="utf-8") as f:
			for line in tqdm(f):
				if(self.prob == 1.0 or random() < self.prob):
					source, relation, target, _ = line.split(" ", 3)
					is_dataprop = target.startswith('"')
					if source not in entities:
						entities[source] = dict(degree=0, out_degree=0, in_degree=0, data_properties={})
					entities[source]["out_degree"] += 1
					entities[source]["degree"] += 1
					if not is_dataprop:
						if target not in entities:
							entities[target] = dict(degree=0, out_degree=0, in_degree=0, data_properties={})
						entities[target]["in_degree"] += 1
						entities[target]["degree"] += 1
						relations.add(relation)
						edges.add((relation, source, target))
					else:
						if(self.include_dataprop):
							entities[source]["data_properties"][relation] = target

		return (entities, relations, edges)
66ee643a8ea9f9b9a0569c1c5d068d3c89a795b5
<mask token>


class NTriplesReader(Reader):
    <mask token>

    def __init__(self, file_path, prob, include_dataprop):
        """
		Arguments:

		file_path -- the path to the single file containing the knwoledge graphs
		prob -- probability of keeping each triple when reading the graph.
		If 1.0, the entire graph is kept. If lesser than one, the final graph has reduced size.
		include_dataprop -- whether or not to store data properties
		"""
        self.file_path = file_path
        self.prob = prob
        self.include_dataprop = include_dataprop
        self.number_lines = 0
    <mask token>

<mask token>


class NTriplesReader(Reader):
    <mask token>

    def __init__(self, file_path, prob, include_dataprop):
        """
		Arguments:

		file_path -- the path to the single file containing the knwoledge graphs
		prob -- probability of keeping each triple when reading the graph.
		If 1.0, the entire graph is kept. If lesser than one, the final graph has reduced size.
		include_dataprop -- whether or not to store data properties
		"""
        self.file_path = file_path
        self.prob = prob
        self.include_dataprop = include_dataprop
        self.number_lines = 0

    def read(self):
        """
		Reads the graph using the parameters specified in the constructor.
		Expects each line to contain a triple with the source first, then the relation, then the target, separated by white spaces.

		Returns: a tuple with:
		1: a dictionary with the entities as keys (their names) as degree information as values.
		Each value is a dictionary with the outwards degree ("out_degree key"), inwards degree ("in_degree key"), total degree ("degree" key), and the data properties ("data_properties" key).
		2: a set with the name of the relations in the graph
		3: a set with the edges in the graph. Each edge is a tuple with the name of the relation, the source entity, and the target entity.
		"""
        entities = dict()
        relations = set()
        edges = set()
        with open(self.file_path, encoding='utf-8') as f:
            for line in tqdm(f):
                if self.prob == 1.0 or random() < self.prob:
                    source, relation, target, _ = line.split(' ', 3)
                    is_dataprop = target.startswith('"')
                    if source not in entities:
                        entities[source] = dict(degree=0, out_degree=0,
                            in_degree=0, data_properties={})
                    entities[source]['out_degree'] += 1
                    entities[source]['degree'] += 1
                    if not is_dataprop:
                        if target not in entities:
                            entities[target] = dict(degree=0, out_degree=0,
                                in_degree=0, data_properties={})
                        entities[target]['in_degree'] += 1
                        entities[target]['degree'] += 1
                        relations.add(relation)
                        edges.add((relation, source, target))
                    elif self.include_dataprop:
                        entities[source]['data_properties'][relation] = target
        return entities, relations, edges

<mask token>


class NTriplesReader(Reader):
    """Reader of rdf graphs"""

    def __init__(self, file_path, prob, include_dataprop):
        """
		Arguments:

		file_path -- the path to the single file containing the knwoledge graphs
		prob -- probability of keeping each triple when reading the graph.
		If 1.0, the entire graph is kept. If lesser than one, the final graph has reduced size.
		include_dataprop -- whether or not to store data properties
		"""
        self.file_path = file_path
        self.prob = prob
        self.include_dataprop = include_dataprop
        self.number_lines = 0

    def read(self):
        """
		Reads the graph using the parameters specified in the constructor.
		Expects each line to contain a triple with the source first, then the relation, then the target, separated by white spaces.

		Returns: a tuple with:
		1: a dictionary with the entities as keys (their names) as degree information as values.
		Each value is a dictionary with the outwards degree ("out_degree key"), inwards degree ("in_degree key"), total degree ("degree" key), and the data properties ("data_properties" key).
		2: a set with the name of the relations in the graph
		3: a set with the edges in the graph. Each edge is a tuple with the name of the relation, the source entity, and the target entity.
		"""
        entities = dict()
        relations = set()
        edges = set()
        with open(self.file_path, encoding='utf-8') as f:
            for line in tqdm(f):
                if self.prob == 1.0 or random() < self.prob:
                    source, relation, target, _ = line.split(' ', 3)
                    is_dataprop = target.startswith('"')
                    if source not in entities:
                        entities[source] = dict(degree=0, out_degree=0,
                            in_degree=0, data_properties={})
                    entities[source]['out_degree'] += 1
                    entities[source]['degree'] += 1
                    if not is_dataprop:
                        if target not in entities:
                            entities[target] = dict(degree=0, out_degree=0,
                                in_degree=0, data_properties={})
                        entities[target]['in_degree'] += 1
                        entities[target]['degree'] += 1
                        relations.add(relation)
                        edges.add((relation, source, target))
                    elif self.include_dataprop:
                        entities[source]['data_properties'][relation] = target
        return entities, relations, edges

from reader import Reader
from random import random
import multiprocessing
from tqdm import tqdm


class NTriplesReader(Reader):
    """Reader of rdf graphs"""

    def __init__(self, file_path, prob, include_dataprop):
        """
		Arguments:

		file_path -- the path to the single file containing the knwoledge graphs
		prob -- probability of keeping each triple when reading the graph.
		If 1.0, the entire graph is kept. If lesser than one, the final graph has reduced size.
		include_dataprop -- whether or not to store data properties
		"""
        self.file_path = file_path
        self.prob = prob
        self.include_dataprop = include_dataprop
        self.number_lines = 0

    def read(self):
        """
		Reads the graph using the parameters specified in the constructor.
		Expects each line to contain a triple with the source first, then the relation, then the target, separated by white spaces.

		Returns: a tuple with:
		1: a dictionary with the entities as keys (their names) as degree information as values.
		Each value is a dictionary with the outwards degree ("out_degree key"), inwards degree ("in_degree key"), total degree ("degree" key), and the data properties ("data_properties" key).
		2: a set with the name of the relations in the graph
		3: a set with the edges in the graph. Each edge is a tuple with the name of the relation, the source entity, and the target entity.
		"""
        entities = dict()
        relations = set()
        edges = set()
        with open(self.file_path, encoding='utf-8') as f:
            for line in tqdm(f):
                if self.prob == 1.0 or random() < self.prob:
                    source, relation, target, _ = line.split(' ', 3)
                    is_dataprop = target.startswith('"')
                    if source not in entities:
                        entities[source] = dict(degree=0, out_degree=0,
                            in_degree=0, data_properties={})
                    entities[source]['out_degree'] += 1
                    entities[source]['degree'] += 1
                    if not is_dataprop:
                        if target not in entities:
                            entities[target] = dict(degree=0, out_degree=0,
                                in_degree=0, data_properties={})
                        entities[target]['in_degree'] += 1
                        entities[target]['degree'] += 1
                        relations.add(relation)
                        edges.add((relation, source, target))
                    elif self.include_dataprop:
                        entities[source]['data_properties'][relation] = target
        return entities, relations, edges

from reader import Reader
from random import random
import multiprocessing
from tqdm import tqdm
class NTriplesReader(Reader):
	"""Reader of rdf graphs"""

	def __init__(self, file_path, prob, include_dataprop):
		"""
		Arguments:

		file_path -- the path to the single file containing the knwoledge graphs
		prob -- probability of keeping each triple when reading the graph.
		If 1.0, the entire graph is kept. If lesser than one, the final graph has reduced size.
		include_dataprop -- whether or not to store data properties
		"""

		self.file_path = file_path
		self.prob = prob
		self.include_dataprop = include_dataprop
		self.number_lines = 0

	def read(self):
		"""
		Reads the graph using the parameters specified in the constructor.
		Expects each line to contain a triple with the source first, then the relation, then the target, separated by white spaces.

		Returns: a tuple with:
		1: a dictionary with the entities as keys (their names) as degree information as values.
		Each value is a dictionary with the outwards degree ("out_degree key"), inwards degree ("in_degree key"), total degree ("degree" key), and the data properties ("data_properties" key).
		2: a set with the name of the relations in the graph
		3: a set with the edges in the graph. Each edge is a tuple with the name of the relation, the source entity, and the target entity.
		"""
		entities = dict()
		relations = set()
		edges = set()
		with open(self.file_path, encoding="utf-8") as f:
			for line in tqdm(f):
				if(self.prob == 1.0 or random() < self.prob):
					source, relation, target, _ = line.split(" ", 3)
					is_dataprop = target.startswith('"')
					if source not in entities:
						entities[source] = dict(degree=0, out_degree=0, in_degree=0, data_properties={})
					entities[source]["out_degree"] += 1
					entities[source]["degree"] += 1
					if not is_dataprop:
						if target not in entities:
							entities[target] = dict(degree=0, out_degree=0, in_degree=0, data_properties={})
						entities[target]["in_degree"] += 1
						entities[target]["degree"] += 1
						relations.add(relation)
						edges.add((relation, source, target))
					else:
						if(self.include_dataprop):
							entities[source]["data_properties"][relation] = target

		return (entities, relations, edges)