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32c2c70ef7a234764f50581ae38ee326337e01f8
rpatil524/pybel
src/pybel/struct/graph.py
[ "MIT" ]
Python
periphery
<not_specific>
def periphery(self, **kwargs): """Expand around the periphery of the graph w.r.t. its parent graph.""" from pybel_tools.mutation.expansion import expand_periphery cp = self.graph.copy() expand_periphery(universe=self.parent, graph=cp, **kwargs) return cp
Expand around the periphery of the graph w.r.t. its parent graph.
Expand around the periphery of the graph w.r.t. its parent graph.
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def periphery(self, **kwargs): from pybel_tools.mutation.expansion import expand_periphery cp = self.graph.copy() expand_periphery(universe=self.parent, graph=cp, **kwargs) return cp
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Expand around the periphery of the graph w.r.t.
[ "Expand", "around", "the", "periphery", "of", "the", "graph", "w", ".", "r", ".", "t", "." ]
[ "\"\"\"Expand around the periphery of the graph w.r.t. its parent graph.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
32c2c70ef7a234764f50581ae38ee326337e01f8
rpatil524/pybel
src/pybel/struct/graph.py
[ "MIT" ]
Python
internal
<not_specific>
def internal(self, **kwargs): """Expand missing edges between nodes in the graph w.r.t. its parent graph.""" from pybel_tools.mutation.expansion import expand_internal cp = self.graph.copy() expand_internal(universe=self.parent, graph=cp, **kwargs) return cp
Expand missing edges between nodes in the graph w.r.t. its parent graph.
Expand missing edges between nodes in the graph w.r.t. its parent graph.
[ "Expand", "missing", "edges", "between", "nodes", "in", "the", "graph", "w", ".", "r", ".", "t", ".", "its", "parent", "graph", "." ]
def internal(self, **kwargs): from pybel_tools.mutation.expansion import expand_internal cp = self.graph.copy() expand_internal(universe=self.parent, graph=cp, **kwargs) return cp
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Expand missing edges between nodes in the graph w.r.t.
[ "Expand", "missing", "edges", "between", "nodes", "in", "the", "graph", "w", ".", "r", ".", "t", "." ]
[ "\"\"\"Expand missing edges between nodes in the graph w.r.t. its parent graph.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
1e6ac644f046a5a49da5f40d989b3dd0a8d2716d
rpatil524/pybel
src/pybel/struct/summary/edge_summary.py
[ "MIT" ]
Python
iter_annotation_value_pairs
Iterable[Tuple[str, Entity]]
def iter_annotation_value_pairs(graph: BELGraph) -> Iterable[Tuple[str, Entity]]: """Iterate over the key/value pairs, with duplicates, for each annotation used in a BEL graph. :param graph: A BEL graph """ return ( (key, entity) for _, _, data in graph.edges(data=True) for key,...
Iterate over the key/value pairs, with duplicates, for each annotation used in a BEL graph. :param graph: A BEL graph
Iterate over the key/value pairs, with duplicates, for each annotation used in a BEL graph.
[ "Iterate", "over", "the", "key", "/", "value", "pairs", "with", "duplicates", "for", "each", "annotation", "used", "in", "a", "BEL", "graph", "." ]
def iter_annotation_value_pairs(graph: BELGraph) -> Iterable[Tuple[str, Entity]]: return ( (key, entity) for _, _, data in graph.edges(data=True) for key, entities in data.get(ANNOTATIONS, {}).items() for entity in entities )
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Iterate over the key/value pairs, with duplicates, for each annotation used in a BEL graph.
[ "Iterate", "over", "the", "key", "/", "value", "pairs", "with", "duplicates", "for", "each", "annotation", "used", "in", "a", "BEL", "graph", "." ]
[ "\"\"\"Iterate over the key/value pairs, with duplicates, for each annotation used in a BEL graph.\n\n :param graph: A BEL graph\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null } ], "outlier_params": [], "others":...
1e6ac644f046a5a49da5f40d989b3dd0a8d2716d
rpatil524/pybel
src/pybel/struct/summary/edge_summary.py
[ "MIT" ]
Python
iter_annotation_values
Iterable[Entity]
def iter_annotation_values(graph: BELGraph, annotation: str) -> Iterable[Entity]: """Iterate over all of the values for an annotation used in the graph. :param graph: A BEL graph :param annotation: The annotation to grab """ return ( entity for _, _, data in graph.edges(data=True) ...
Iterate over all of the values for an annotation used in the graph. :param graph: A BEL graph :param annotation: The annotation to grab
Iterate over all of the values for an annotation used in the graph.
[ "Iterate", "over", "all", "of", "the", "values", "for", "an", "annotation", "used", "in", "the", "graph", "." ]
def iter_annotation_values(graph: BELGraph, annotation: str) -> Iterable[Entity]: return ( entity for _, _, data in graph.edges(data=True) if edge_has_annotation(data, annotation) for entity in data[ANNOTATIONS][annotation] )
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Iterate over all of the values for an annotation used in the graph.
[ "Iterate", "over", "all", "of", "the", "values", "for", "an", "annotation", "used", "in", "the", "graph", "." ]
[ "\"\"\"Iterate over all of the values for an annotation used in the graph.\n\n :param graph: A BEL graph\n :param annotation: The annotation to grab\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "annotation", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "annotation",...
1e6ac644f046a5a49da5f40d989b3dd0a8d2716d
rpatil524/pybel
src/pybel/struct/summary/edge_summary.py
[ "MIT" ]
Python
count_relations
Counter
def count_relations(graph: BELGraph) -> Counter: """Return a histogram over all relationships in a graph. :param graph: A BEL graph :return: A Counter from {relation type: frequency} """ return Counter( data[RELATION] for _, _, data in graph.edges(data=True) )
Return a histogram over all relationships in a graph. :param graph: A BEL graph :return: A Counter from {relation type: frequency}
Return a histogram over all relationships in a graph.
[ "Return", "a", "histogram", "over", "all", "relationships", "in", "a", "graph", "." ]
def count_relations(graph: BELGraph) -> Counter: return Counter( data[RELATION] for _, _, data in graph.edges(data=True) )
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Return a histogram over all relationships in a graph.
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[ "\"\"\"Return a histogram over all relationships in a graph.\n\n :param graph: A BEL graph\n :return: A Counter from {relation type: frequency}\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" } ]
{ "returns": [ { "docstring": "A Counter from {relation type: frequency}", "docstring_tokens": [ "A", "Counter", "from", "{", "relation", "type", ":", "frequency", "}" ], "type": null } ], "raises": [], "para...
1e6ac644f046a5a49da5f40d989b3dd0a8d2716d
rpatil524/pybel
src/pybel/struct/summary/edge_summary.py
[ "MIT" ]
Python
count_annotations
Counter
def count_annotations(graph: BELGraph) -> Counter: """Count how many times each annotation is used in the graph. :param graph: A BEL graph :return: A Counter from {annotation key: frequency} """ return Counter(_annotation_iter_helper(graph))
Count how many times each annotation is used in the graph. :param graph: A BEL graph :return: A Counter from {annotation key: frequency}
Count how many times each annotation is used in the graph.
[ "Count", "how", "many", "times", "each", "annotation", "is", "used", "in", "the", "graph", "." ]
def count_annotations(graph: BELGraph) -> Counter: return Counter(_annotation_iter_helper(graph))
[ "def", "count_annotations", "(", "graph", ":", "BELGraph", ")", "->", "Counter", ":", "return", "Counter", "(", "_annotation_iter_helper", "(", "graph", ")", ")" ]
Count how many times each annotation is used in the graph.
[ "Count", "how", "many", "times", "each", "annotation", "is", "used", "in", "the", "graph", "." ]
[ "\"\"\"Count how many times each annotation is used in the graph.\n\n :param graph: A BEL graph\n :return: A Counter from {annotation key: frequency}\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" } ]
{ "returns": [ { "docstring": "A Counter from {annotation key: frequency}", "docstring_tokens": [ "A", "Counter", "from", "{", "annotation", "key", ":", "frequency", "}" ], "type": null } ], "raises": [], "pa...
1e6ac644f046a5a49da5f40d989b3dd0a8d2716d
rpatil524/pybel
src/pybel/struct/summary/edge_summary.py
[ "MIT" ]
Python
_annotation_iter_helper
Iterable[str]
def _annotation_iter_helper(graph: BELGraph) -> Iterable[str]: """Iterate over the annotation keys. :param graph: A BEL graph """ return ( key for _, _, data in graph.edges(data=True) if ANNOTATIONS in data for key in data[ANNOTATIONS] )
Iterate over the annotation keys. :param graph: A BEL graph
Iterate over the annotation keys.
[ "Iterate", "over", "the", "annotation", "keys", "." ]
def _annotation_iter_helper(graph: BELGraph) -> Iterable[str]: return ( key for _, _, data in graph.edges(data=True) if ANNOTATIONS in data for key in data[ANNOTATIONS] )
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Iterate over the annotation keys.
[ "Iterate", "over", "the", "annotation", "keys", "." ]
[ "\"\"\"Iterate over the annotation keys.\n\n :param graph: A BEL graph\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null } ], "outlier_params": [], "others":...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
clear
null
def clear(self): """Clear the graph and all control parser data (current citation, annotations, and statement group).""" if self.graph is not None: self.graph.clear() self.control_parser.clear()
Clear the graph and all control parser data (current citation, annotations, and statement group).
Clear the graph and all control parser data (current citation, annotations, and statement group).
[ "Clear", "the", "graph", "and", "all", "control", "parser", "data", "(", "current", "citation", "annotations", "and", "statement", "group", ")", "." ]
def clear(self): if self.graph is not None: self.graph.clear() self.control_parser.clear()
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Clear the graph and all control parser data (current citation, annotations, and statement group).
[ "Clear", "the", "graph", "and", "all", "control", "parser", "data", "(", "current", "citation", "annotations", "and", "statement", "group", ")", "." ]
[ "\"\"\"Clear the graph and all control parser data (current citation, annotations, and statement group).\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
check_function_semantics
ParseResults
def check_function_semantics(self, line: str, position: int, tokens: ParseResults) -> ParseResults: """Raise an exception if the function used on the tokens is wrong. :raises: InvalidFunctionSemantic """ concept = tokens.get(CONCEPT) if not self._namespace_dict or concept is Non...
Raise an exception if the function used on the tokens is wrong. :raises: InvalidFunctionSemantic
Raise an exception if the function used on the tokens is wrong.
[ "Raise", "an", "exception", "if", "the", "function", "used", "on", "the", "tokens", "is", "wrong", "." ]
def check_function_semantics(self, line: str, position: int, tokens: ParseResults) -> ParseResults: concept = tokens.get(CONCEPT) if not self._namespace_dict or concept is None: return tokens namespace, name = concept[NAMESPACE], concept[NAME] if namespace in self.concept_par...
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Raise an exception if the function used on the tokens is wrong.
[ "Raise", "an", "exception", "if", "the", "function", "used", "on", "the", "tokens", "is", "wrong", "." ]
[ "\"\"\"Raise an exception if the function used on the tokens is wrong.\n\n :raises: InvalidFunctionSemantic\n \"\"\"", "# Don't check dirty names in lenient mode" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
_add_qualified_edge_helper
str
def _add_qualified_edge_helper( self, *, source, source_modifier, relation, target, target_modifier, annotations, ) -> str: """Add a qualified edge from the internal aspects of the parser.""" m = { BINDS: self.graph.add_bind...
Add a qualified edge from the internal aspects of the parser.
Add a qualified edge from the internal aspects of the parser.
[ "Add", "a", "qualified", "edge", "from", "the", "internal", "aspects", "of", "the", "parser", "." ]
def _add_qualified_edge_helper( self, *, source, source_modifier, relation, target, target_modifier, annotations, ) -> str: m = { BINDS: self.graph.add_binds, } adder = m.get(relation) d = dict( e...
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Add a qualified edge from the internal aspects of the parser.
[ "Add", "a", "qualified", "edge", "from", "the", "internal", "aspects", "of", "the", "parser", "." ]
[ "\"\"\"Add a qualified edge from the internal aspects of the parser.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "source", "type": null }, { "param": "source_modifier", "type": null }, { "param": "relation", "type": null }, { "param": "target", "type": null }, { "param": "target_modifier", "type": null }, { ...
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "source", "type": null, "docstring": null, "docstring_tokens":...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
_add_qualified_edge
str
def _add_qualified_edge(self, *, source, source_modifier, relation, target, target_modifier) -> str: """Add an edge, then adds the opposite direction edge if it should.""" d = dict( relation=relation, annotations=self.control_parser.annotations, ) if relation in T...
Add an edge, then adds the opposite direction edge if it should.
Add an edge, then adds the opposite direction edge if it should.
[ "Add", "an", "edge", "then", "adds", "the", "opposite", "direction", "edge", "if", "it", "should", "." ]
def _add_qualified_edge(self, *, source, source_modifier, relation, target, target_modifier) -> str: d = dict( relation=relation, annotations=self.control_parser.annotations, ) if relation in TWO_WAY_RELATIONS: self._add_qualified_edge_helper( ...
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Add an edge, then adds the opposite direction edge if it should.
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[ "\"\"\"Add an edge, then adds the opposite direction edge if it should.\"\"\"" ]
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{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "source", "type": null, "docstring": null, "docstring_tokens":...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
_handle_relation_harness
ParseResults
def _handle_relation_harness(self, line: str, position: int, tokens: Union[ParseResults, Dict]) -> ParseResults: """Handle BEL relations based on the policy specified on instantiation. Note: this can't be changed after instantiation! """ self._handle_relation_checked(line, position, tok...
Handle BEL relations based on the policy specified on instantiation. Note: this can't be changed after instantiation!
Handle BEL relations based on the policy specified on instantiation. Note: this can't be changed after instantiation!
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def _handle_relation_harness(self, line: str, position: int, tokens: Union[ParseResults, Dict]) -> ParseResults: self._handle_relation_checked(line, position, tokens) return tokens
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Handle BEL relations based on the policy specified on instantiation.
[ "Handle", "BEL", "relations", "based", "on", "the", "policy", "specified", "on", "instantiation", "." ]
[ "\"\"\"Handle BEL relations based on the policy specified on instantiation.\n\n Note: this can't be changed after instantiation!\n \"\"\"" ]
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{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "line", "type": "str", "docstring": null, "docstring_tokens": ...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
handle_inverse_unqualified_relation
ParseResults
def handle_inverse_unqualified_relation(self, _, __, tokens: ParseResults) -> ParseResults: """Handle unqualified relations that should go reverse.""" source = self.ensure_node(tokens[SOURCE]) target = self.ensure_node(tokens[TARGET]) relation = tokens[RELATION] self.graph.add_un...
Handle unqualified relations that should go reverse.
Handle unqualified relations that should go reverse.
[ "Handle", "unqualified", "relations", "that", "should", "go", "reverse", "." ]
def handle_inverse_unqualified_relation(self, _, __, tokens: ParseResults) -> ParseResults: source = self.ensure_node(tokens[SOURCE]) target = self.ensure_node(tokens[TARGET]) relation = tokens[RELATION] self.graph.add_unqualified_edge(source=target, target=source, relation=relation) ...
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Handle unqualified relations that should go reverse.
[ "Handle", "unqualified", "relations", "that", "should", "go", "reverse", "." ]
[ "\"\"\"Handle unqualified relations that should go reverse.\"\"\"" ]
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1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
ensure_node
BaseEntity
def ensure_node(self, tokens: ParseResults) -> BaseEntity: """Turn parsed tokens into canonical node name and makes sure its in the graph.""" node = parse_result_to_dsl(tokens) self.graph.add_node_from_data(node) return node
Turn parsed tokens into canonical node name and makes sure its in the graph.
Turn parsed tokens into canonical node name and makes sure its in the graph.
[ "Turn", "parsed", "tokens", "into", "canonical", "node", "name", "and", "makes", "sure", "its", "in", "the", "graph", "." ]
def ensure_node(self, tokens: ParseResults) -> BaseEntity: node = parse_result_to_dsl(tokens) self.graph.add_node_from_data(node) return node
[ "def", "ensure_node", "(", "self", ",", "tokens", ":", "ParseResults", ")", "->", "BaseEntity", ":", "node", "=", "parse_result_to_dsl", "(", "tokens", ")", "self", ".", "graph", ".", "add_node_from_data", "(", "node", ")", "return", "node" ]
Turn parsed tokens into canonical node name and makes sure its in the graph.
[ "Turn", "parsed", "tokens", "into", "canonical", "node", "name", "and", "makes", "sure", "its", "in", "the", "graph", "." ]
[ "\"\"\"Turn parsed tokens into canonical node name and makes sure its in the graph.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "tokens", "type": "ParseResults", "docstring": null, "docstrin...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
handle_molecular_activity_default
ParseResults
def handle_molecular_activity_default(_: str, __: int, tokens: ParseResults) -> ParseResults: """Handle a BEL 2.0 style molecular activity with BEL default names.""" upgraded_cls = language.activity_labels[tokens[0]] upgraded_concept = language.activity_mapping[upgraded_cls] tokens[NAMESPACE] = upgraded...
Handle a BEL 2.0 style molecular activity with BEL default names.
Handle a BEL 2.0 style molecular activity with BEL default names.
[ "Handle", "a", "BEL", "2", ".", "0", "style", "molecular", "activity", "with", "BEL", "default", "names", "." ]
def handle_molecular_activity_default(_: str, __: int, tokens: ParseResults) -> ParseResults: upgraded_cls = language.activity_labels[tokens[0]] upgraded_concept = language.activity_mapping[upgraded_cls] tokens[NAMESPACE] = upgraded_concept.namespace tokens[NAME] = upgraded_concept.name tokens[IDENT...
[ "def", "handle_molecular_activity_default", "(", "_", ":", "str", ",", "__", ":", "int", ",", "tokens", ":", "ParseResults", ")", "->", "ParseResults", ":", "upgraded_cls", "=", "language", ".", "activity_labels", "[", "tokens", "[", "0", "]", "]", "upgraded...
Handle a BEL 2.0 style molecular activity with BEL default names.
[ "Handle", "a", "BEL", "2", ".", "0", "style", "molecular", "activity", "with", "BEL", "default", "names", "." ]
[ "\"\"\"Handle a BEL 2.0 style molecular activity with BEL default names.\"\"\"" ]
[ { "param": "_", "type": "str" }, { "param": "__", "type": "int" }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "_", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "__", "type": "int", "docstring": null, "docstring_tokens": [], ...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
modifier_po_to_dict
<not_specific>
def modifier_po_to_dict(tokens): """Get the location, activity, and/or transformation information as a dictionary. :return: a dictionary describing the modifier :rtype: dict """ attrs = {} if LOCATION in tokens: attrs[LOCATION] = dict(tokens[LOCATION]) if MODIFIER not in tokens: ...
Get the location, activity, and/or transformation information as a dictionary. :return: a dictionary describing the modifier :rtype: dict
Get the location, activity, and/or transformation information as a dictionary.
[ "Get", "the", "location", "activity", "and", "/", "or", "transformation", "information", "as", "a", "dictionary", "." ]
def modifier_po_to_dict(tokens): attrs = {} if LOCATION in tokens: attrs[LOCATION] = dict(tokens[LOCATION]) if MODIFIER not in tokens: return attrs if tokens[MODIFIER] == DEGRADATION: attrs[MODIFIER] = tokens[MODIFIER] elif tokens[MODIFIER] == ACTIVITY: attrs[MODIFIER...
[ "def", "modifier_po_to_dict", "(", "tokens", ")", ":", "attrs", "=", "{", "}", "if", "LOCATION", "in", "tokens", ":", "attrs", "[", "LOCATION", "]", "=", "dict", "(", "tokens", "[", "LOCATION", "]", ")", "if", "MODIFIER", "not", "in", "tokens", ":", ...
Get the location, activity, and/or transformation information as a dictionary.
[ "Get", "the", "location", "activity", "and", "/", "or", "transformation", "information", "as", "a", "dictionary", "." ]
[ "\"\"\"Get the location, activity, and/or transformation information as a dictionary.\n\n :return: a dictionary describing the modifier\n :rtype: dict\n \"\"\"", "# for when it was auto-upgraded" ]
[ { "param": "tokens", "type": null } ]
{ "returns": [ { "docstring": "a dictionary describing the modifier", "docstring_tokens": [ "a", "dictionary", "describing", "the", "modifier" ], "type": "dict" } ], "raises": [], "params": [ { "identifier": "tokens", "type"...
1ea1e8556b1404a6511262fbc3d2514285310f8c
rpatil524/pybel
src/pybel/parser/parse_bel.py
[ "MIT" ]
Python
parse
<not_specific>
def parse(s: str, pprint=False): """Parse a BEL statement (without validation).""" rv = _default_parser().parse(s) if pprint: import json print(json.dumps(rv, indent=2)) else: return rv
Parse a BEL statement (without validation).
Parse a BEL statement (without validation).
[ "Parse", "a", "BEL", "statement", "(", "without", "validation", ")", "." ]
def parse(s: str, pprint=False): rv = _default_parser().parse(s) if pprint: import json print(json.dumps(rv, indent=2)) else: return rv
[ "def", "parse", "(", "s", ":", "str", ",", "pprint", "=", "False", ")", ":", "rv", "=", "_default_parser", "(", ")", ".", "parse", "(", "s", ")", "if", "pprint", ":", "import", "json", "print", "(", "json", ".", "dumps", "(", "rv", ",", "indent",...
Parse a BEL statement (without validation).
[ "Parse", "a", "BEL", "statement", "(", "without", "validation", ")", "." ]
[ "\"\"\"Parse a BEL statement (without validation).\"\"\"" ]
[ { "param": "s", "type": "str" }, { "param": "pprint", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "s", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "pprint", "type": null, "docstring": null, "docstring_tokens": [...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
raise_for_undefined_annotation
None
def raise_for_undefined_annotation(self, line: str, position: int, annotation: str) -> None: """Raise an exception if the annotation is not defined. :raises: UndefinedAnnotationWarning """ if self._in_debug_mode: return if not self.has_annotation(annotation): ...
Raise an exception if the annotation is not defined. :raises: UndefinedAnnotationWarning
Raise an exception if the annotation is not defined.
[ "Raise", "an", "exception", "if", "the", "annotation", "is", "not", "defined", "." ]
def raise_for_undefined_annotation(self, line: str, position: int, annotation: str) -> None: if self._in_debug_mode: return if not self.has_annotation(annotation): raise UndefinedAnnotationWarning(self.get_line_number(), line, position, annotation)
[ "def", "raise_for_undefined_annotation", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ",", "annotation", ":", "str", ")", "->", "None", ":", "if", "self", ".", "_in_debug_mode", ":", "return", "if", "not", "self", ".", "has_annotation...
Raise an exception if the annotation is not defined.
[ "Raise", "an", "exception", "if", "the", "annotation", "is", "not", "defined", "." ]
[ "\"\"\"Raise an exception if the annotation is not defined.\n\n :raises: UndefinedAnnotationWarning\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "annotation", "type": "str" } ]
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
raise_for_invalid_annotation_value
None
def raise_for_invalid_annotation_value(self, line: str, position: int, key: str, value: str) -> None: """Raise an exception if the annotation is not defined. :raises: IllegalAnnotationValueWarning or MissingAnnotationRegexWarning """ if self._in_debug_mode: return i...
Raise an exception if the annotation is not defined. :raises: IllegalAnnotationValueWarning or MissingAnnotationRegexWarning
Raise an exception if the annotation is not defined.
[ "Raise", "an", "exception", "if", "the", "annotation", "is", "not", "defined", "." ]
def raise_for_invalid_annotation_value(self, line: str, position: int, key: str, value: str) -> None: if self._in_debug_mode: return if self.has_enumerated_annotation(key) and value not in self.annotation_to_term[key]: raise IllegalAnnotationValueWarning(self.get_line_number(), l...
[ "def", "raise_for_invalid_annotation_value", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ",", "key", ":", "str", ",", "value", ":", "str", ")", "->", "None", ":", "if", "self", ".", "_in_debug_mode", ":", "return", "if", "self", ...
Raise an exception if the annotation is not defined.
[ "Raise", "an", "exception", "if", "the", "annotation", "is", "not", "defined", "." ]
[ "\"\"\"Raise an exception if the annotation is not defined.\n\n :raises: IllegalAnnotationValueWarning or MissingAnnotationRegexWarning\n \"\"\"", "# TODO condense" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "key", "type": "str" }, { "param": "value", "type": "str" } ]
{ "returns": [], "raises": [ { "docstring": "IllegalAnnotationValueWarning or MissingAnnotationRegexWarning", "docstring_tokens": [ "IllegalAnnotationValueWarning", "or", "MissingAnnotationRegexWarning" ], "type": null } ], "params": [ { "identif...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
raise_for_missing_citation
None
def raise_for_missing_citation(self, line: str, position: int) -> None: """Raise an exception if there is no citation present in the parser. :raises: MissingCitationException """ if self.citation_clearing and not self.citation_is_set: raise MissingCitationException(self.get_...
Raise an exception if there is no citation present in the parser. :raises: MissingCitationException
Raise an exception if there is no citation present in the parser.
[ "Raise", "an", "exception", "if", "there", "is", "no", "citation", "present", "in", "the", "parser", "." ]
def raise_for_missing_citation(self, line: str, position: int) -> None: if self.citation_clearing and not self.citation_is_set: raise MissingCitationException(self.get_line_number(), line, position)
[ "def", "raise_for_missing_citation", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ")", "->", "None", ":", "if", "self", ".", "citation_clearing", "and", "not", "self", ".", "citation_is_set", ":", "raise", "MissingCitationException", "(",...
Raise an exception if there is no citation present in the parser.
[ "Raise", "an", "exception", "if", "there", "is", "no", "citation", "present", "in", "the", "parser", "." ]
[ "\"\"\"Raise an exception if there is no citation present in the parser.\n\n :raises: MissingCitationException\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" } ]
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
handle_annotation_key
ParseResults
def handle_annotation_key(self, line: str, position: int, tokens: ParseResults) -> ParseResults: """Handle an annotation key before parsing to validate that it's either enumerated or as a regex. :raise: MissingCitationException or UndefinedAnnotationWarning """ key = tokens['key'] ...
Handle an annotation key before parsing to validate that it's either enumerated or as a regex. :raise: MissingCitationException or UndefinedAnnotationWarning
Handle an annotation key before parsing to validate that it's either enumerated or as a regex.
[ "Handle", "an", "annotation", "key", "before", "parsing", "to", "validate", "that", "it", "'", "s", "either", "enumerated", "or", "as", "a", "regex", "." ]
def handle_annotation_key(self, line: str, position: int, tokens: ParseResults) -> ParseResults: key = tokens['key'] self.raise_for_missing_citation(line, position) self.raise_for_undefined_annotation(line, position, key) return tokens
[ "def", "handle_annotation_key", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ",", "tokens", ":", "ParseResults", ")", "->", "ParseResults", ":", "key", "=", "tokens", "[", "'key'", "]", "self", ".", "raise_for_missing_citation", "(", ...
Handle an annotation key before parsing to validate that it's either enumerated or as a regex.
[ "Handle", "an", "annotation", "key", "before", "parsing", "to", "validate", "that", "it", "'", "s", "either", "enumerated", "or", "as", "a", "regex", "." ]
[ "\"\"\"Handle an annotation key before parsing to validate that it's either enumerated or as a regex.\n\n :raise: MissingCitationException or UndefinedAnnotationWarning\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [ { "docstring": "MissingCitationException or UndefinedAnnotationWarning", "docstring_tokens": [ "MissingCitationException", "or", "UndefinedAnnotationWarning" ], "type": null } ], "params": [ { "identifier": "self", ...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
handle_unset_statement_group
ParseResults
def handle_unset_statement_group(self, line: str, position: int, tokens: ParseResults) -> ParseResults: """Unset the statement group, or raises an exception if it is not set. :raises: MissingAnnotationKeyWarning """ if self.statement_group is None: raise MissingAnnotationKey...
Unset the statement group, or raises an exception if it is not set. :raises: MissingAnnotationKeyWarning
Unset the statement group, or raises an exception if it is not set.
[ "Unset", "the", "statement", "group", "or", "raises", "an", "exception", "if", "it", "is", "not", "set", "." ]
def handle_unset_statement_group(self, line: str, position: int, tokens: ParseResults) -> ParseResults: if self.statement_group is None: raise MissingAnnotationKeyWarning(self.get_line_number(), line, position, BEL_KEYWORD_STATEMENT_GROUP) self.statement_group = None return tokens
[ "def", "handle_unset_statement_group", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ",", "tokens", ":", "ParseResults", ")", "->", "ParseResults", ":", "if", "self", ".", "statement_group", "is", "None", ":", "raise", "MissingAnnotationKe...
Unset the statement group, or raises an exception if it is not set.
[ "Unset", "the", "statement", "group", "or", "raises", "an", "exception", "if", "it", "is", "not", "set", "." ]
[ "\"\"\"Unset the statement group, or raises an exception if it is not set.\n\n :raises: MissingAnnotationKeyWarning\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
handle_unset_citation
ParseResults
def handle_unset_citation(self, line: str, position: int, tokens: ParseResults) -> ParseResults: """Unset the citation, or raise an exception if it is not set. :raises: MissingAnnotationKeyWarning """ if not self.citation_is_set: raise MissingAnnotationKeyWarning(self.get_li...
Unset the citation, or raise an exception if it is not set. :raises: MissingAnnotationKeyWarning
Unset the citation, or raise an exception if it is not set.
[ "Unset", "the", "citation", "or", "raise", "an", "exception", "if", "it", "is", "not", "set", "." ]
def handle_unset_citation(self, line: str, position: int, tokens: ParseResults) -> ParseResults: if not self.citation_is_set: raise MissingAnnotationKeyWarning(self.get_line_number(), line, position, BEL_KEYWORD_CITATION) self.clear_citation() return tokens
[ "def", "handle_unset_citation", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ",", "tokens", ":", "ParseResults", ")", "->", "ParseResults", ":", "if", "not", "self", ".", "citation_is_set", ":", "raise", "MissingAnnotationKeyWarning", "("...
Unset the citation, or raise an exception if it is not set.
[ "Unset", "the", "citation", "or", "raise", "an", "exception", "if", "it", "is", "not", "set", "." ]
[ "\"\"\"Unset the citation, or raise an exception if it is not set.\n\n :raises: MissingAnnotationKeyWarning\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
handle_unset_evidence
ParseResults
def handle_unset_evidence(self, line: str, position: int, tokens: ParseResults) -> ParseResults: """Unset the evidence, or throws an exception if it is not already set. The value for ``tokens[EVIDENCE]`` corresponds to which alternate of SupportingText or Evidence was used in the BEL script. ...
Unset the evidence, or throws an exception if it is not already set. The value for ``tokens[EVIDENCE]`` corresponds to which alternate of SupportingText or Evidence was used in the BEL script. :raises: MissingAnnotationKeyWarning
Unset the evidence, or throws an exception if it is not already set. The value for ``tokens[EVIDENCE]`` corresponds to which alternate of SupportingText or Evidence was used in the BEL script.
[ "Unset", "the", "evidence", "or", "throws", "an", "exception", "if", "it", "is", "not", "already", "set", ".", "The", "value", "for", "`", "`", "tokens", "[", "EVIDENCE", "]", "`", "`", "corresponds", "to", "which", "alternate", "of", "SupportingText", "...
def handle_unset_evidence(self, line: str, position: int, tokens: ParseResults) -> ParseResults: if self.evidence is None: raise MissingAnnotationKeyWarning(self.get_line_number(), line, position, tokens[EVIDENCE]) self.evidence = None return tokens
[ "def", "handle_unset_evidence", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ",", "tokens", ":", "ParseResults", ")", "->", "ParseResults", ":", "if", "self", ".", "evidence", "is", "None", ":", "raise", "MissingAnnotationKeyWarning", "...
Unset the evidence, or throws an exception if it is not already set.
[ "Unset", "the", "evidence", "or", "throws", "an", "exception", "if", "it", "is", "not", "already", "set", "." ]
[ "\"\"\"Unset the evidence, or throws an exception if it is not already set.\n\n The value for ``tokens[EVIDENCE]`` corresponds to which alternate of SupportingText or Evidence was used in\n the BEL script.\n\n :raises: MissingAnnotationKeyWarning\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
handle_unset_command
ParseResults
def handle_unset_command(self, line: str, position: int, tokens: ParseResults) -> ParseResults: """Handle an ``UNSET X`` statement or raises an exception if it is not already set. :raises: MissingAnnotationKeyWarning """ key = tokens['key'] self.validate_unset_command(line, posi...
Handle an ``UNSET X`` statement or raises an exception if it is not already set. :raises: MissingAnnotationKeyWarning
Handle an ``UNSET X`` statement or raises an exception if it is not already set.
[ "Handle", "an", "`", "`", "UNSET", "X", "`", "`", "statement", "or", "raises", "an", "exception", "if", "it", "is", "not", "already", "set", "." ]
def handle_unset_command(self, line: str, position: int, tokens: ParseResults) -> ParseResults: key = tokens['key'] self.validate_unset_command(line, position, key) del self.annotations[key] return tokens
[ "def", "handle_unset_command", "(", "self", ",", "line", ":", "str", ",", "position", ":", "int", ",", "tokens", ":", "ParseResults", ")", "->", "ParseResults", ":", "key", "=", "tokens", "[", "'key'", "]", "self", ".", "validate_unset_command", "(", "line...
Handle an ``UNSET X`` statement or raises an exception if it is not already set.
[ "Handle", "an", "`", "`", "UNSET", "X", "`", "`", "statement", "or", "raises", "an", "exception", "if", "it", "is", "not", "already", "set", "." ]
[ "\"\"\"Handle an ``UNSET X`` statement or raises an exception if it is not already set.\n\n :raises: MissingAnnotationKeyWarning\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "line", "type": "str" }, { "param": "position", "type": "int" }, { "param": "tokens", "type": "ParseResults" } ]
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null } ], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null ...
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
clear_citation
None
def clear_citation(self) -> None: """Clear the citation and if citation clearing is enabled, clear the evidence and annotations.""" self.citation_db = None self.citation_db_id = None if self.citation_clearing: self.evidence = None self.annotations.clear()
Clear the citation and if citation clearing is enabled, clear the evidence and annotations.
Clear the citation and if citation clearing is enabled, clear the evidence and annotations.
[ "Clear", "the", "citation", "and", "if", "citation", "clearing", "is", "enabled", "clear", "the", "evidence", "and", "annotations", "." ]
def clear_citation(self) -> None: self.citation_db = None self.citation_db_id = None if self.citation_clearing: self.evidence = None self.annotations.clear()
[ "def", "clear_citation", "(", "self", ")", "->", "None", ":", "self", ".", "citation_db", "=", "None", "self", ".", "citation_db_id", "=", "None", "if", "self", ".", "citation_clearing", ":", "self", ".", "evidence", "=", "None", "self", ".", "annotations"...
Clear the citation and if citation clearing is enabled, clear the evidence and annotations.
[ "Clear", "the", "citation", "and", "if", "citation", "clearing", "is", "enabled", "clear", "the", "evidence", "and", "annotations", "." ]
[ "\"\"\"Clear the citation and if citation clearing is enabled, clear the evidence and annotations.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
7ba48a4a8027992780bc4583c41f12ad2ae69a70
rpatil524/pybel
src/pybel/parser/parse_control.py
[ "MIT" ]
Python
clear
None
def clear(self) -> None: """Clear the statement_group, citation, evidence, and annotations.""" self.statement_group = None self.citation_db = None self.citation_db_id = None self.evidence = None self.annotations.clear()
Clear the statement_group, citation, evidence, and annotations.
Clear the statement_group, citation, evidence, and annotations.
[ "Clear", "the", "statement_group", "citation", "evidence", "and", "annotations", "." ]
def clear(self) -> None: self.statement_group = None self.citation_db = None self.citation_db_id = None self.evidence = None self.annotations.clear()
[ "def", "clear", "(", "self", ")", "->", "None", ":", "self", ".", "statement_group", "=", "None", "self", ".", "citation_db", "=", "None", "self", ".", "citation_db_id", "=", "None", "self", ".", "evidence", "=", "None", "self", ".", "annotations", ".", ...
Clear the statement_group, citation, evidence, and annotations.
[ "Clear", "the", "statement_group", "citation", "evidence", "and", "annotations", "." ]
[ "\"\"\"Clear the statement_group, citation, evidence, and annotations.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
d11b6c8a18786a0a2a3e3b9b124f549ea31c3368
rpatil524/pybel
src/pybel/io/neo4j.py
[ "MIT" ]
Python
to_neo4j
null
def to_neo4j(graph, neo_connection, use_tqdm: bool = False): """Upload a BEL graph to a Neo4j graph database using :mod:`py2neo`. :param pybel.BELGraph graph: A BEL Graph :param neo_connection: A :mod:`py2neo` connection object. Refer to the `py2neo documentation <http://py2neo.org/v3/database.html#th...
Upload a BEL graph to a Neo4j graph database using :mod:`py2neo`. :param pybel.BELGraph graph: A BEL Graph :param neo_connection: A :mod:`py2neo` connection object. Refer to the `py2neo documentation <http://py2neo.org/v3/database.html#the-graph>`_ for how to build this object. :type neo_connection: s...
Upload a BEL graph to a Neo4j graph database using :mod:`py2neo`.
[ "Upload", "a", "BEL", "graph", "to", "a", "Neo4j", "graph", "database", "using", ":", "mod", ":", "`", "py2neo", "`", "." ]
def to_neo4j(graph, neo_connection, use_tqdm: bool = False): import py2neo if isinstance(neo_connection, str): neo_connection = py2neo.Graph(neo_connection) tx = neo_connection.begin() node_map = {} nodes = list(graph) if use_tqdm: nodes = tqdm(nodes, desc='nodes') for node i...
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Upload a BEL graph to a Neo4j graph database using :mod:`py2neo`.
[ "Upload", "a", "BEL", "graph", "to", "a", "Neo4j", "graph", "database", "using", ":", "mod", ":", "`", "py2neo", "`", "." ]
[ "\"\"\"Upload a BEL graph to a Neo4j graph database using :mod:`py2neo`.\n\n :param pybel.BELGraph graph: A BEL Graph\n :param neo_connection: A :mod:`py2neo` connection object. Refer to the\n `py2neo documentation <http://py2neo.org/v3/database.html#the-graph>`_ for how to build this object.\n :type n...
[ { "param": "graph", "type": null }, { "param": "neo_connection", "type": null }, { "param": "use_tqdm", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": null, "docstring": "A BEL Graph", "docstring_tokens": [ "A", "BEL", "Graph" ], "default": null, "is_optional": false }, { "identifier": "neo_connection", ...
c74507c13403b0d37b24eaa2477651d57556d62a
rpatil524/pybel
src/pybel/io/cx.py
[ "MIT" ]
Python
to_cx_file
None
def to_cx_file(graph: BELGraph, path: Union[str, TextIO], indent: Optional[int] = 2, **kwargs) -> None: """Write a BEL graph to a JSON file in CX format. :param graph: A BEL graph :param path: A writable file or file-like :param indent: How many spaces to use to pretty print. Change to None for no pret...
Write a BEL graph to a JSON file in CX format. :param graph: A BEL graph :param path: A writable file or file-like :param indent: How many spaces to use to pretty print. Change to None for no pretty printing The example below shows how to output a BEL graph as CX to an open file. .. code-block:: ...
Write a BEL graph to a JSON file in CX format.
[ "Write", "a", "BEL", "graph", "to", "a", "JSON", "file", "in", "CX", "format", "." ]
def to_cx_file(graph: BELGraph, path: Union[str, TextIO], indent: Optional[int] = 2, **kwargs) -> None: graph_cx_json_dict = to_cx(graph) json.dump(graph_cx_json_dict, path, ensure_ascii=False, indent=indent, **kwargs)
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Write a BEL graph to a JSON file in CX format.
[ "Write", "a", "BEL", "graph", "to", "a", "JSON", "file", "in", "CX", "format", "." ]
[ "\"\"\"Write a BEL graph to a JSON file in CX format.\n\n :param graph: A BEL graph\n :param path: A writable file or file-like\n :param indent: How many spaces to use to pretty print. Change to None for no pretty printing\n\n The example below shows how to output a BEL graph as CX to an open file.\n\n ...
[ { "param": "graph", "type": "BELGraph" }, { "param": "path", "type": "Union[str, TextIO]" }, { "param": "indent", "type": "Optional[int]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "path", ...
c74507c13403b0d37b24eaa2477651d57556d62a
rpatil524/pybel
src/pybel/io/cx.py
[ "MIT" ]
Python
from_cx_file
BELGraph
def from_cx_file(path: Union[str, TextIO]) -> BELGraph: """Read a file containing CX JSON and converts to a BEL graph. :param path: A readable file or file-like containing the CX JSON for this graph :return: A BEL Graph representing the CX graph contained in the file """ return from_cx(json.load(pa...
Read a file containing CX JSON and converts to a BEL graph. :param path: A readable file or file-like containing the CX JSON for this graph :return: A BEL Graph representing the CX graph contained in the file
Read a file containing CX JSON and converts to a BEL graph.
[ "Read", "a", "file", "containing", "CX", "JSON", "and", "converts", "to", "a", "BEL", "graph", "." ]
def from_cx_file(path: Union[str, TextIO]) -> BELGraph: return from_cx(json.load(path))
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Read a file containing CX JSON and converts to a BEL graph.
[ "Read", "a", "file", "containing", "CX", "JSON", "and", "converts", "to", "a", "BEL", "graph", "." ]
[ "\"\"\"Read a file containing CX JSON and converts to a BEL graph.\n\n :param path: A readable file or file-like containing the CX JSON for this graph\n :return: A BEL Graph representing the CX graph contained in the file\n \"\"\"" ]
[ { "param": "path", "type": "Union[str, TextIO]" } ]
{ "returns": [ { "docstring": "A BEL Graph representing the CX graph contained in the file", "docstring_tokens": [ "A", "BEL", "Graph", "representing", "the", "CX", "graph", "contained", "in", "the", "file" ]...
27b2a787ab39aa7a8d91005ea9db421fe07e71c4
rpatil524/pybel
src/pybel/io/line_utils.py
[ "MIT" ]
Python
parse_lines
None
def parse_lines( graph: BELGraph, lines: Iterable[str], manager: Optional[Manager] = None, disallow_nested: bool = False, citation_clearing: bool = True, use_tqdm: bool = False, tqdm_kwargs: Optional[Mapping[str, Any]] = None, no_identifier_validation: bool = False, disallow_unqualif...
Parse an iterable of lines into this graph. Delegates to :func:`parse_document`, :func:`parse_definitions`, and :func:`parse_statements`. :param graph: A BEL graph :param lines: An iterable over lines of BEL script :param manager: A PyBEL database manager :param disallow_nested: If true, turns on ...
Parse an iterable of lines into this graph.
[ "Parse", "an", "iterable", "of", "lines", "into", "this", "graph", "." ]
def parse_lines( graph: BELGraph, lines: Iterable[str], manager: Optional[Manager] = None, disallow_nested: bool = False, citation_clearing: bool = True, use_tqdm: bool = False, tqdm_kwargs: Optional[Mapping[str, Any]] = None, no_identifier_validation: bool = False, disallow_unqualif...
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Parse an iterable of lines into this graph.
[ "Parse", "an", "iterable", "of", "lines", "into", "this", "graph", "." ]
[ "\"\"\"Parse an iterable of lines into this graph.\n\n Delegates to :func:`parse_document`, :func:`parse_definitions`, and :func:`parse_statements`.\n\n :param graph: A BEL graph\n :param lines: An iterable over lines of BEL script\n :param manager: A PyBEL database manager\n :param disallow_nested: ...
[ { "param": "graph", "type": "BELGraph" }, { "param": "lines", "type": "Iterable[str]" }, { "param": "manager", "type": "Optional[Manager]" }, { "param": "disallow_nested", "type": "bool" }, { "param": "citation_clearing", "type": "bool" }, { "param": "...
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "lines", ...
27b2a787ab39aa7a8d91005ea9db421fe07e71c4
rpatil524/pybel
src/pybel/io/line_utils.py
[ "MIT" ]
Python
parse_document
None
def parse_document( graph: BELGraph, enumerated_lines: Iterable[Tuple[int, str]], metadata_parser: MetadataParser, ) -> None: """Parse the lines in the document section of a BEL script.""" parse_document_start_time = time.time() for line_number, line in enumerated_lines: try: ...
Parse the lines in the document section of a BEL script.
Parse the lines in the document section of a BEL script.
[ "Parse", "the", "lines", "in", "the", "document", "section", "of", "a", "BEL", "script", "." ]
def parse_document( graph: BELGraph, enumerated_lines: Iterable[Tuple[int, str]], metadata_parser: MetadataParser, ) -> None: parse_document_start_time = time.time() for line_number, line in enumerated_lines: try: metadata_parser.parseString(line, line_number=line_number) ...
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Parse the lines in the document section of a BEL script.
[ "Parse", "the", "lines", "in", "the", "document", "section", "of", "a", "BEL", "script", "." ]
[ "\"\"\"Parse the lines in the document section of a BEL script.\"\"\"", "# This has to be insert since it needs to go on the front!" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "enumerated_lines", "type": "Iterable[Tuple[int, str]]" }, { "param": "metadata_parser", "type": "MetadataParser" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "enumerated_lines", "type": "Iterable[Tuple[int, str]]", "doc...
27b2a787ab39aa7a8d91005ea9db421fe07e71c4
rpatil524/pybel
src/pybel/io/line_utils.py
[ "MIT" ]
Python
parse_definitions
None
def parse_definitions( graph: BELGraph, enumerated_lines: Iterable[Tuple[int, str]], metadata_parser: MetadataParser, allow_failures: bool = False, use_tqdm: bool = False, tqdm_kwargs: Optional[Mapping[str, Any]] = None, ) -> None: """Parse the lines in the definitions section of a BEL scrip...
Parse the lines in the definitions section of a BEL script. :param graph: A BEL graph :param enumerated_lines: An enumerated iterable over the lines in the definitions section of a BEL script :param metadata_parser: A metadata parser :param allow_failures: If true, allows parser to continue past strang...
Parse the lines in the definitions section of a BEL script.
[ "Parse", "the", "lines", "in", "the", "definitions", "section", "of", "a", "BEL", "script", "." ]
def parse_definitions( graph: BELGraph, enumerated_lines: Iterable[Tuple[int, str]], metadata_parser: MetadataParser, allow_failures: bool = False, use_tqdm: bool = False, tqdm_kwargs: Optional[Mapping[str, Any]] = None, ) -> None: parse_definitions_start_time = time.time() if use_tqdm: ...
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Parse the lines in the definitions section of a BEL script.
[ "Parse", "the", "lines", "in", "the", "definitions", "section", "of", "a", "BEL", "script", "." ]
[ "\"\"\"Parse the lines in the definitions section of a BEL script.\n\n :param graph: A BEL graph\n :param enumerated_lines: An enumerated iterable over the lines in the definitions section of a BEL script\n :param metadata_parser: A metadata parser\n :param allow_failures: If true, allows parser to cont...
[ { "param": "graph", "type": "BELGraph" }, { "param": "enumerated_lines", "type": "Iterable[Tuple[int, str]]" }, { "param": "metadata_parser", "type": "MetadataParser" }, { "param": "allow_failures", "type": "bool" }, { "param": "use_tqdm", "type": "bool" }, ...
{ "returns": [], "raises": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": null }, { "docstring": null, "docstring_tokens": [ "None" ], "type": null }, { "docstring": null, "docstring_tokens": [ "N...
27b2a787ab39aa7a8d91005ea9db421fe07e71c4
rpatil524/pybel
src/pybel/io/line_utils.py
[ "MIT" ]
Python
parse_statements
None
def parse_statements( graph: BELGraph, enumerated_lines: Iterable[Tuple[int, str]], bel_parser: BELParser, use_tqdm: bool = True, tqdm_kwargs: Optional[Mapping[str, Any]] = None, ) -> None: """Parse a list of statements from a BEL Script. :param graph: A BEL graph :param enumerated_line...
Parse a list of statements from a BEL Script. :param graph: A BEL graph :param enumerated_lines: An enumerated iterable over the lines in the statements section of a BEL script :param bel_parser: A BEL parser :param use_tqdm: Use :mod:`tqdm` to show a progress bar? Requires reading whole file to memory...
Parse a list of statements from a BEL Script.
[ "Parse", "a", "list", "of", "statements", "from", "a", "BEL", "Script", "." ]
def parse_statements( graph: BELGraph, enumerated_lines: Iterable[Tuple[int, str]], bel_parser: BELParser, use_tqdm: bool = True, tqdm_kwargs: Optional[Mapping[str, Any]] = None, ) -> None: parse_statements_start_time = time.time() if use_tqdm: tqdm_kwargs = {} if tqdm_kwargs is None...
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Parse a list of statements from a BEL Script.
[ "Parse", "a", "list", "of", "statements", "from", "a", "BEL", "Script", "." ]
[ "\"\"\"Parse a list of statements from a BEL Script.\n\n :param graph: A BEL graph\n :param enumerated_lines: An enumerated iterable over the lines in the statements section of a BEL script\n :param bel_parser: A BEL parser\n :param use_tqdm: Use :mod:`tqdm` to show a progress bar? Requires reading whol...
[ { "param": "graph", "type": "BELGraph" }, { "param": "enumerated_lines", "type": "Iterable[Tuple[int, str]]" }, { "param": "bel_parser", "type": "BELParser" }, { "param": "use_tqdm", "type": "bool" }, { "param": "tqdm_kwargs", "type": "Optional[Mapping[str, An...
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "enumerated_l...
467bb96cf65df5d1f233e21d475a7ce9439a2a77
rpatil524/pybel
src/pybel/io/gpickle.py
[ "MIT" ]
Python
to_bytes
bytes
def to_bytes(graph: BELGraph, protocol: int = pickle.HIGHEST_PROTOCOL) -> bytes: """Convert a graph to bytes with pickle. Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable pickle, choose 0, 1, or 2. :param graph: A BEL graph :param pr...
Convert a graph to bytes with pickle. Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable pickle, choose 0, 1, or 2. :param graph: A BEL graph :param protocol: Pickling protocol to use. Defaults to ``HIGHEST_PROTOCOL``. .. seealso:: ht...
Convert a graph to bytes with pickle. Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable pickle, choose 0, 1, or 2.
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def to_bytes(graph: BELGraph, protocol: int = pickle.HIGHEST_PROTOCOL) -> bytes: raise_for_not_bel(graph) return pickle.dumps(graph, protocol=protocol)
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Convert a graph to bytes with pickle.
[ "Convert", "a", "graph", "to", "bytes", "with", "pickle", "." ]
[ "\"\"\"Convert a graph to bytes with pickle.\n\n Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable\n pickle, choose 0, 1, or 2.\n\n :param graph: A BEL graph\n :param protocol: Pickling protocol to use. Defaults to ``HIGHEST_PROTOCOL``.\n\n...
[ { "param": "graph", "type": "BELGraph" }, { "param": "protocol", "type": "int" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "protocol", ...
467bb96cf65df5d1f233e21d475a7ce9439a2a77
rpatil524/pybel
src/pybel/io/gpickle.py
[ "MIT" ]
Python
from_bytes
BELGraph
def from_bytes(bytes_graph: bytes, check_version: bool = True) -> BELGraph: """Read a graph from bytes (the result of pickling the graph). :param bytes_graph: File or filename to write :param check_version: Checks if the graph was produced by this version of PyBEL """ graph = pickle.loads(bytes_gra...
Read a graph from bytes (the result of pickling the graph). :param bytes_graph: File or filename to write :param check_version: Checks if the graph was produced by this version of PyBEL
Read a graph from bytes (the result of pickling the graph).
[ "Read", "a", "graph", "from", "bytes", "(", "the", "result", "of", "pickling", "the", "graph", ")", "." ]
def from_bytes(bytes_graph: bytes, check_version: bool = True) -> BELGraph: graph = pickle.loads(bytes_graph) raise_for_not_bel(graph) if check_version: raise_for_old_graph(graph) return graph
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Read a graph from bytes (the result of pickling the graph).
[ "Read", "a", "graph", "from", "bytes", "(", "the", "result", "of", "pickling", "the", "graph", ")", "." ]
[ "\"\"\"Read a graph from bytes (the result of pickling the graph).\n\n :param bytes_graph: File or filename to write\n :param check_version: Checks if the graph was produced by this version of PyBEL\n \"\"\"" ]
[ { "param": "bytes_graph", "type": "bytes" }, { "param": "check_version", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "bytes_graph", "type": "bytes", "docstring": "File or filename to write", "docstring_tokens": [ "File", "or", "filename", "to", "write" ], "default": null, "is_optional"...
467bb96cf65df5d1f233e21d475a7ce9439a2a77
rpatil524/pybel
src/pybel/io/gpickle.py
[ "MIT" ]
Python
to_bytes_gz
bytes
def to_bytes_gz(graph: BELGraph, protocol: int = pickle.HIGHEST_PROTOCOL) -> bytes: """Convert a graph to gzipped bytes with pickle. :param graph: A BEL graph :param protocol: Pickling protocol to use. Defaults to ``HIGHEST_PROTOCOL``. """ io = BytesIO() with gzip.open(io, mode='wb') as file: ...
Convert a graph to gzipped bytes with pickle. :param graph: A BEL graph :param protocol: Pickling protocol to use. Defaults to ``HIGHEST_PROTOCOL``.
Convert a graph to gzipped bytes with pickle.
[ "Convert", "a", "graph", "to", "gzipped", "bytes", "with", "pickle", "." ]
def to_bytes_gz(graph: BELGraph, protocol: int = pickle.HIGHEST_PROTOCOL) -> bytes: io = BytesIO() with gzip.open(io, mode='wb') as file: pickle.dump(graph, file, protocol=protocol) return io.getvalue()
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Convert a graph to gzipped bytes with pickle.
[ "Convert", "a", "graph", "to", "gzipped", "bytes", "with", "pickle", "." ]
[ "\"\"\"Convert a graph to gzipped bytes with pickle.\n\n :param graph: A BEL graph\n :param protocol: Pickling protocol to use. Defaults to ``HIGHEST_PROTOCOL``.\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "protocol", "type": "int" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "protocol", ...
467bb96cf65df5d1f233e21d475a7ce9439a2a77
rpatil524/pybel
src/pybel/io/gpickle.py
[ "MIT" ]
Python
from_bytes_gz
BELGraph
def from_bytes_gz(bytes_graph: bytes) -> BELGraph: """Read a graph from gzipped bytes (the result of pickling the graph). :param bytes_graph: File or filename to write """ with gzip.GzipFile(fileobj=BytesIO(bytes_graph), mode='rb') as file: return pickle.load(file)
Read a graph from gzipped bytes (the result of pickling the graph). :param bytes_graph: File or filename to write
Read a graph from gzipped bytes (the result of pickling the graph).
[ "Read", "a", "graph", "from", "gzipped", "bytes", "(", "the", "result", "of", "pickling", "the", "graph", ")", "." ]
def from_bytes_gz(bytes_graph: bytes) -> BELGraph: with gzip.GzipFile(fileobj=BytesIO(bytes_graph), mode='rb') as file: return pickle.load(file)
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Read a graph from gzipped bytes (the result of pickling the graph).
[ "Read", "a", "graph", "from", "gzipped", "bytes", "(", "the", "result", "of", "pickling", "the", "graph", ")", "." ]
[ "\"\"\"Read a graph from gzipped bytes (the result of pickling the graph).\n\n :param bytes_graph: File or filename to write\n \"\"\"" ]
[ { "param": "bytes_graph", "type": "bytes" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "bytes_graph", "type": "bytes", "docstring": "File or filename to write", "docstring_tokens": [ "File", "or", "filename", "to", "write" ], "default": null, "is_optional"...
467bb96cf65df5d1f233e21d475a7ce9439a2a77
rpatil524/pybel
src/pybel/io/gpickle.py
[ "MIT" ]
Python
to_pickle
None
def to_pickle(graph: BELGraph, path: Union[str, BinaryIO], protocol: int = pickle.HIGHEST_PROTOCOL) -> None: """Write this graph to a pickle file. Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable pickle, choose 0, 1, or 2. :param graph: ...
Write this graph to a pickle file. Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable pickle, choose 0, 1, or 2. :param graph: A BEL graph :param path: A path or file-like :param protocol: Pickling protocol to use. Defaults to ``HIGHES...
Write this graph to a pickle file. Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable pickle, choose 0, 1, or 2.
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def to_pickle(graph: BELGraph, path: Union[str, BinaryIO], protocol: int = pickle.HIGHEST_PROTOCOL) -> None: raise_for_not_bel(graph) pickle.dump(graph, path, protocol)
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Write this graph to a pickle file.
[ "Write", "this", "graph", "to", "a", "pickle", "file", "." ]
[ "\"\"\"Write this graph to a pickle file.\n\n Note that the pickle module has some incompatibilities between Python 2 and 3. To export a universally importable\n pickle, choose 0, 1, or 2.\n\n :param graph: A BEL graph\n :param path: A path or file-like\n :param protocol: Pickling protocol to use. De...
[ { "param": "graph", "type": "BELGraph" }, { "param": "path", "type": "Union[str, BinaryIO]" }, { "param": "protocol", "type": "int" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "path", ...
467bb96cf65df5d1f233e21d475a7ce9439a2a77
rpatil524/pybel
src/pybel/io/gpickle.py
[ "MIT" ]
Python
from_pickle
BELGraph
def from_pickle(path: Union[str, BinaryIO], check_version: bool = True) -> BELGraph: """Read a graph from a pickle file. :param path: File or filename to read. Filenames ending in .gz or .bz2 will be uncompressed. :param bool check_version: Checks if the graph was produced by this version of PyBEL """ ...
Read a graph from a pickle file. :param path: File or filename to read. Filenames ending in .gz or .bz2 will be uncompressed. :param bool check_version: Checks if the graph was produced by this version of PyBEL
Read a graph from a pickle file.
[ "Read", "a", "graph", "from", "a", "pickle", "file", "." ]
def from_pickle(path: Union[str, BinaryIO], check_version: bool = True) -> BELGraph: graph = pickle.load(path) raise_for_not_bel(graph) if check_version: raise_for_old_graph(graph) return graph
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Read a graph from a pickle file.
[ "Read", "a", "graph", "from", "a", "pickle", "file", "." ]
[ "\"\"\"Read a graph from a pickle file.\n\n :param path: File or filename to read. Filenames ending in .gz or .bz2 will be uncompressed.\n :param bool check_version: Checks if the graph was produced by this version of PyBEL\n \"\"\"" ]
[ { "param": "path", "type": "Union[str, BinaryIO]" }, { "param": "check_version", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "path", "type": "Union[str, BinaryIO]", "docstring": "File or filename to read. Filenames ending in .gz or .bz2 will be uncompressed.", "docstring_tokens": [ "File", "or", "filename", "to", ...
c9c8dd3420d458c730e22f921b495cf4f06d7ed5
rpatil524/pybel
src/pybel/io/bel_commons_client.py
[ "MIT" ]
Python
to_bel_commons
requests.Response
def to_bel_commons( graph: BELGraph, host: Optional[str] = None, user: Optional[str] = None, password: Optional[str] = None, public: bool = True, ) -> requests.Response: """Send a graph to the receiver service and returns the :mod:`requests` response object. :param graph: A BEL graph :p...
Send a graph to the receiver service and returns the :mod:`requests` response object. :param graph: A BEL graph :param host: The location of the BEL Commons server. Alternatively, looks up in PyBEL config with ``PYBEL_REMOTE_HOST`` or the environment as ``PYBEL_REMOTE_HOST``. :param user: Username for...
Send a graph to the receiver service and returns the :mod:`requests` response object.
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def to_bel_commons( graph: BELGraph, host: Optional[str] = None, user: Optional[str] = None, password: Optional[str] = None, public: bool = True, ) -> requests.Response: if host is None: host = _get_host() logger.debug('using host: %s', host) if user is None: user = _...
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Send a graph to the receiver service and returns the :mod:`requests` response object.
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[ "\"\"\"Send a graph to the receiver service and returns the :mod:`requests` response object.\n\n :param graph: A BEL graph\n :param host: The location of the BEL Commons server. Alternatively, looks up in PyBEL config with\n ``PYBEL_REMOTE_HOST`` or the environment as ``PYBEL_REMOTE_HOST``.\n :param us...
[ { "param": "graph", "type": "BELGraph" }, { "param": "host", "type": "Optional[str]" }, { "param": "user", "type": "Optional[str]" }, { "param": "password", "type": "Optional[str]" }, { "param": "public", "type": "bool" } ]
{ "returns": [ { "docstring": "The response object from :mod:`requests`", "docstring_tokens": [ "The", "response", "object", "from", ":", "mod", ":", "`", "requests", "`" ], "type": null } ], "raises": ...
c9c8dd3420d458c730e22f921b495cf4f06d7ed5
rpatil524/pybel
src/pybel/io/bel_commons_client.py
[ "MIT" ]
Python
from_bel_commons
BELGraph
def from_bel_commons(network_id: int, host: Optional[str] = None) -> BELGraph: """Retrieve a public network from BEL Commons. In the future, this function may be extended to support authentication. :param network_id: The BEL Commons network identifier :param host: The location of the BEL Commons serve...
Retrieve a public network from BEL Commons. In the future, this function may be extended to support authentication. :param network_id: The BEL Commons network identifier :param host: The location of the BEL Commons server. Alternatively, looks up in PyBEL config with ``PYBEL_REMOTE_HOST`` or the envi...
Retrieve a public network from BEL Commons. In the future, this function may be extended to support authentication.
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def from_bel_commons(network_id: int, host: Optional[str] = None) -> BELGraph: if host is None: host = _get_host() if host is None: raise ValueError('host not specified in arguments, PyBEL configuration, or environment.') url = host + GET_ENDPOINT.format(network_id) res = requests.get(ur...
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Retrieve a public network from BEL Commons.
[ "Retrieve", "a", "public", "network", "from", "BEL", "Commons", "." ]
[ "\"\"\"Retrieve a public network from BEL Commons.\n\n In the future, this function may be extended to support authentication.\n\n :param network_id: The BEL Commons network identifier\n :param host: The location of the BEL Commons server. Alternatively, looks up in PyBEL config with\n ``PYBEL_REMOTE_H...
[ { "param": "network_id", "type": "int" }, { "param": "host", "type": "Optional[str]" } ]
{ "returns": [], "raises": [ { "docstring": "ValueError if host configuration can not be found", "docstring_tokens": [ "ValueError", "if", "host", "configuration", "can", "not", "be", "found" ], "type": null } ], "pa...
0f5fc496210b4352a23780e895c631dc89975a76
rpatil524/pybel
src/pybel/struct/summary/provenance.py
[ "MIT" ]
Python
iterate_citation_identifiers
<not_specific>
def iterate_citation_identifiers(graph, prefix: str): """Iterate over all citation identifiers with the given prefix in a graph. :param graph: A BEL graph :param prefix: The citation prefix to keep :return: An iterator over the PubMed identifiers in the graph """ predicate = CITATION_PREDICATES...
Iterate over all citation identifiers with the given prefix in a graph. :param graph: A BEL graph :param prefix: The citation prefix to keep :return: An iterator over the PubMed identifiers in the graph
Iterate over all citation identifiers with the given prefix in a graph.
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def iterate_citation_identifiers(graph, prefix: str): predicate = CITATION_PREDICATES.get(prefix) if predicate is None: raise ValueError(f'Invalid citation prefix: {prefix}') return ( data[CITATION][IDENTIFIER].strip() for _, _, data in graph.edges(data=True) if predicate(dat...
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Iterate over all citation identifiers with the given prefix in a graph.
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[ "\"\"\"Iterate over all citation identifiers with the given prefix in a graph.\n\n :param graph: A BEL graph\n :param prefix: The citation prefix to keep\n :return: An iterator over the PubMed identifiers in the graph\n \"\"\"" ]
[ { "param": "graph", "type": null }, { "param": "prefix", "type": "str" } ]
{ "returns": [ { "docstring": "An iterator over the PubMed identifiers in the graph", "docstring_tokens": [ "An", "iterator", "over", "the", "PubMed", "identifiers", "in", "the", "graph" ], "type": null } ], "r...
0f5fc496210b4352a23780e895c631dc89975a76
rpatil524/pybel
src/pybel/struct/summary/provenance.py
[ "MIT" ]
Python
iterate_pubmed_identifiers
Iterable[str]
def iterate_pubmed_identifiers(graph: BELGraph) -> Iterable[str]: """Iterate over all PubMed identifiers in a graph. :param graph: A BEL graph :return: An iterator over the PubMed identifiers in the graph """ return iterate_citation_identifiers(graph, 'pubmed')
Iterate over all PubMed identifiers in a graph. :param graph: A BEL graph :return: An iterator over the PubMed identifiers in the graph
Iterate over all PubMed identifiers in a graph.
[ "Iterate", "over", "all", "PubMed", "identifiers", "in", "a", "graph", "." ]
def iterate_pubmed_identifiers(graph: BELGraph) -> Iterable[str]: return iterate_citation_identifiers(graph, 'pubmed')
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Iterate over all PubMed identifiers in a graph.
[ "Iterate", "over", "all", "PubMed", "identifiers", "in", "a", "graph", "." ]
[ "\"\"\"Iterate over all PubMed identifiers in a graph.\n\n :param graph: A BEL graph\n :return: An iterator over the PubMed identifiers in the graph\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" } ]
{ "returns": [ { "docstring": "An iterator over the PubMed identifiers in the graph", "docstring_tokens": [ "An", "iterator", "over", "the", "PubMed", "identifiers", "in", "the", "graph" ], "type": null } ], "r...
0f5fc496210b4352a23780e895c631dc89975a76
rpatil524/pybel
src/pybel/struct/summary/provenance.py
[ "MIT" ]
Python
iterate_pmc_identifiers
Iterable[str]
def iterate_pmc_identifiers(graph: BELGraph) -> Iterable[str]: """Iterate over all PMC identifiers in a graph. :param graph: A BEL graph :return: An iterator over the PMC identifiers in the graph """ return iterate_citation_identifiers(graph, 'pmc')
Iterate over all PMC identifiers in a graph. :param graph: A BEL graph :return: An iterator over the PMC identifiers in the graph
Iterate over all PMC identifiers in a graph.
[ "Iterate", "over", "all", "PMC", "identifiers", "in", "a", "graph", "." ]
def iterate_pmc_identifiers(graph: BELGraph) -> Iterable[str]: return iterate_citation_identifiers(graph, 'pmc')
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Iterate over all PMC identifiers in a graph.
[ "Iterate", "over", "all", "PMC", "identifiers", "in", "a", "graph", "." ]
[ "\"\"\"Iterate over all PMC identifiers in a graph.\n\n :param graph: A BEL graph\n :return: An iterator over the PMC identifiers in the graph\n \"\"\"" ]
[ { "param": "graph", "type": "BELGraph" } ]
{ "returns": [ { "docstring": "An iterator over the PMC identifiers in the graph", "docstring_tokens": [ "An", "iterator", "over", "the", "PMC", "identifiers", "in", "the", "graph" ], "type": null } ], "raises"...
8076ec17b1d2ad9d5375ebc4397df3deebb17d8d
rpatil524/pybel
src/pybel/testing/utils.py
[ "MIT" ]
Python
make_dummy_namespaces
None
def make_dummy_namespaces(manager: Manager, graph: BELGraph) -> None: """Make dummy namespaces for the test.""" for keyword, names in get_names(graph).items(): graph.namespace_url[keyword] = url = n() namespace = Namespace(keyword=keyword, url=url) manager.session.add(namespace) ...
Make dummy namespaces for the test.
Make dummy namespaces for the test.
[ "Make", "dummy", "namespaces", "for", "the", "test", "." ]
def make_dummy_namespaces(manager: Manager, graph: BELGraph) -> None: for keyword, names in get_names(graph).items(): graph.namespace_url[keyword] = url = n() namespace = Namespace(keyword=keyword, url=url) manager.session.add(namespace) for name in names: entry = Namespa...
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Make dummy namespaces for the test.
[ "Make", "dummy", "namespaces", "for", "the", "test", "." ]
[ "\"\"\"Make dummy namespaces for the test.\"\"\"" ]
[ { "param": "manager", "type": "Manager" }, { "param": "graph", "type": "BELGraph" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": "Manager", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "graph", "type": "BELGraph", "docstring": null, "docst...
8076ec17b1d2ad9d5375ebc4397df3deebb17d8d
rpatil524/pybel
src/pybel/testing/utils.py
[ "MIT" ]
Python
make_dummy_annotations
null
def make_dummy_annotations(manager: Manager, graph: BELGraph): """Make dummy annotations for the test.""" namespaces = {} for keyword, entity in iter_annotation_value_pairs(graph): namespace = namespaces.get(keyword) if namespace is None: graph.annotation_url[keyword] = url = n()...
Make dummy annotations for the test.
Make dummy annotations for the test.
[ "Make", "dummy", "annotations", "for", "the", "test", "." ]
def make_dummy_annotations(manager: Manager, graph: BELGraph): namespaces = {} for keyword, entity in iter_annotation_value_pairs(graph): namespace = namespaces.get(keyword) if namespace is None: graph.annotation_url[keyword] = url = n() namespace = Namespace(keyword=keyw...
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Make dummy annotations for the test.
[ "Make", "dummy", "annotations", "for", "the", "test", "." ]
[ "\"\"\"Make dummy annotations for the test.\"\"\"" ]
[ { "param": "manager", "type": "Manager" }, { "param": "graph", "type": "BELGraph" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": "Manager", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "graph", "type": "BELGraph", "docstring": null, "docst...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
function_table_df
pd.DataFrame
def function_table_df(graph: BELGraph, examples: bool = True) -> pd.DataFrame: """Create a dataframe describing the functions in the graph.""" function_mapping = multidict((node.function, node) for node in graph) function_c = Counter({function: len(nodes) for function, nodes in function_mapping.items()}) ...
Create a dataframe describing the functions in the graph.
Create a dataframe describing the functions in the graph.
[ "Create", "a", "dataframe", "describing", "the", "functions", "in", "the", "graph", "." ]
def function_table_df(graph: BELGraph, examples: bool = True) -> pd.DataFrame: function_mapping = multidict((node.function, node) for node in graph) function_c = Counter({function: len(nodes) for function, nodes in function_mapping.items()}) if not examples: return pd.DataFrame(function_c.most_commo...
[ "def", "function_table_df", "(", "graph", ":", "BELGraph", ",", "examples", ":", "bool", "=", "True", ")", "->", "pd", ".", "DataFrame", ":", "function_mapping", "=", "multidict", "(", "(", "node", ".", "function", ",", "node", ")", "for", "node", "in", ...
Create a dataframe describing the functions in the graph.
[ "Create", "a", "dataframe", "describing", "the", "functions", "in", "the", "graph", "." ]
[ "\"\"\"Create a dataframe describing the functions in the graph.\"\"\"", "# noqa:S311" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "examples", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "examples", "type": "bool", "docstring": null, "docstri...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
functions_str
str
def functions_str(graph, examples: bool = True, add_count: bool = True, **kwargs) -> str: """Make a summary string of the functions in the graph.""" df = function_table_df(graph, examples=examples) headers = list(df.columns) if add_count: headers[0] += ' ({})'.format(len(df.index)) return ta...
Make a summary string of the functions in the graph.
Make a summary string of the functions in the graph.
[ "Make", "a", "summary", "string", "of", "the", "functions", "in", "the", "graph", "." ]
def functions_str(graph, examples: bool = True, add_count: bool = True, **kwargs) -> str: df = function_table_df(graph, examples=examples) headers = list(df.columns) if add_count: headers[0] += ' ({})'.format(len(df.index)) return tabulate(df.values, headers=headers, **kwargs)
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Make a summary string of the functions in the graph.
[ "Make", "a", "summary", "string", "of", "the", "functions", "in", "the", "graph", "." ]
[ "\"\"\"Make a summary string of the functions in the graph.\"\"\"" ]
[ { "param": "graph", "type": null }, { "param": "examples", "type": "bool" }, { "param": "add_count", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "examples", "type": "bool", "docstring": null, "docstring_tok...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
namespaces_table_df
pd.DataFrame
def namespaces_table_df(graph: BELGraph, examples: bool = True) -> pd.DataFrame: """Create a dataframe describing the namespaces in the graph.""" namespace_mapping = multidict((node.namespace, node) for node in graph if isinstance(node, BaseConcept)) namespace_c = count_namespaces(graph) if not examples...
Create a dataframe describing the namespaces in the graph.
Create a dataframe describing the namespaces in the graph.
[ "Create", "a", "dataframe", "describing", "the", "namespaces", "in", "the", "graph", "." ]
def namespaces_table_df(graph: BELGraph, examples: bool = True) -> pd.DataFrame: namespace_mapping = multidict((node.namespace, node) for node in graph if isinstance(node, BaseConcept)) namespace_c = count_namespaces(graph) if not examples: return pd.DataFrame(namespace_c.most_common(), columns=['Na...
[ "def", "namespaces_table_df", "(", "graph", ":", "BELGraph", ",", "examples", ":", "bool", "=", "True", ")", "->", "pd", ".", "DataFrame", ":", "namespace_mapping", "=", "multidict", "(", "(", "node", ".", "namespace", ",", "node", ")", "for", "node", "i...
Create a dataframe describing the namespaces in the graph.
[ "Create", "a", "dataframe", "describing", "the", "namespaces", "in", "the", "graph", "." ]
[ "\"\"\"Create a dataframe describing the namespaces in the graph.\"\"\"", "# noqa:S311" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "examples", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "examples", "type": "bool", "docstring": null, "docstri...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
namespaces_str
None
def namespaces_str(graph: BELGraph, examples: bool = True, add_count: bool = True, **kwargs) -> None: """Make a summary string of the namespaces in the graph.""" df = namespaces_table_df(graph, examples=examples) headers = list(df.columns) if add_count: headers[0] += ' ({})'.format(len(df.index)...
Make a summary string of the namespaces in the graph.
Make a summary string of the namespaces in the graph.
[ "Make", "a", "summary", "string", "of", "the", "namespaces", "in", "the", "graph", "." ]
def namespaces_str(graph: BELGraph, examples: bool = True, add_count: bool = True, **kwargs) -> None: df = namespaces_table_df(graph, examples=examples) headers = list(df.columns) if add_count: headers[0] += ' ({})'.format(len(df.index)) return tabulate(df.values, headers=headers, **kwargs)
[ "def", "namespaces_str", "(", "graph", ":", "BELGraph", ",", "examples", ":", "bool", "=", "True", ",", "add_count", ":", "bool", "=", "True", ",", "**", "kwargs", ")", "->", "None", ":", "df", "=", "namespaces_table_df", "(", "graph", ",", "examples", ...
Make a summary string of the namespaces in the graph.
[ "Make", "a", "summary", "string", "of", "the", "namespaces", "in", "the", "graph", "." ]
[ "\"\"\"Make a summary string of the namespaces in the graph.\"\"\"" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "examples", "type": "bool" }, { "param": "add_count", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "examples", "type": "bool", "docstring": null, "docstri...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
edge_table_df
pd.DataFrame
def edge_table_df(graph: BELGraph, *, examples: bool = True, minimum: Optional[int] = None) -> pd.DataFrame: """Create a dataframe describing the edges in the graph.""" edge_mapping = multidict( (f'{u.function} {d[RELATION]} {v.function}', graph.edge_to_bel(u, v, d, use_identifiers=True)) for u,...
Create a dataframe describing the edges in the graph.
Create a dataframe describing the edges in the graph.
[ "Create", "a", "dataframe", "describing", "the", "edges", "in", "the", "graph", "." ]
def edge_table_df(graph: BELGraph, *, examples: bool = True, minimum: Optional[int] = None) -> pd.DataFrame: edge_mapping = multidict( (f'{u.function} {d[RELATION]} {v.function}', graph.edge_to_bel(u, v, d, use_identifiers=True)) for u, v, d in graph.edges(data=True) if d[RELATION] not in TW...
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Create a dataframe describing the edges in the graph.
[ "Create", "a", "dataframe", "describing", "the", "edges", "in", "the", "graph", "." ]
[ "\"\"\"Create a dataframe describing the edges in the graph.\"\"\"", "# noqa:S311" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "examples", "type": "bool" }, { "param": "minimum", "type": "Optional[int]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "examples", "type": "bool", "docstring": null, "docstri...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
edges_str
str
def edges_str( graph: BELGraph, *, examples: bool = True, add_count: bool = True, minimum: Optional[int] = None, **kwargs, ) -> str: """Make a summary str of the edges in the graph.""" df = edge_table_df(graph, examples=examples, minimum=minimum) headers = list(df.columns) if add...
Make a summary str of the edges in the graph.
Make a summary str of the edges in the graph.
[ "Make", "a", "summary", "str", "of", "the", "edges", "in", "the", "graph", "." ]
def edges_str( graph: BELGraph, *, examples: bool = True, add_count: bool = True, minimum: Optional[int] = None, **kwargs, ) -> str: df = edge_table_df(graph, examples=examples, minimum=minimum) headers = list(df.columns) if add_count: headers[0] += ' ({})'.format(intword(len...
[ "def", "edges_str", "(", "graph", ":", "BELGraph", ",", "*", ",", "examples", ":", "bool", "=", "True", ",", "add_count", ":", "bool", "=", "True", ",", "minimum", ":", "Optional", "[", "int", "]", "=", "None", ",", "**", "kwargs", ",", ")", "->", ...
Make a summary str of the edges in the graph.
[ "Make", "a", "summary", "str", "of", "the", "edges", "in", "the", "graph", "." ]
[ "\"\"\"Make a summary str of the edges in the graph.\"\"\"" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "examples", "type": "bool" }, { "param": "add_count", "type": "bool" }, { "param": "minimum", "type": "Optional[int]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "examples", "type": "bool", "docstring": null, "docstri...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
edges
None
def edges( graph: BELGraph, *, examples: bool = True, minimum: Optional[int] = None, file: Optional[TextIO] = None, **kwargs, ) -> None: """Print a summary of the edges in the graph.""" print(edges_str(graph=graph, examples=examples, minimum=minimum, **kwargs), file=file)
Print a summary of the edges in the graph.
Print a summary of the edges in the graph.
[ "Print", "a", "summary", "of", "the", "edges", "in", "the", "graph", "." ]
def edges( graph: BELGraph, *, examples: bool = True, minimum: Optional[int] = None, file: Optional[TextIO] = None, **kwargs, ) -> None: print(edges_str(graph=graph, examples=examples, minimum=minimum, **kwargs), file=file)
[ "def", "edges", "(", "graph", ":", "BELGraph", ",", "*", ",", "examples", ":", "bool", "=", "True", ",", "minimum", ":", "Optional", "[", "int", "]", "=", "None", ",", "file", ":", "Optional", "[", "TextIO", "]", "=", "None", ",", "**", "kwargs", ...
Print a summary of the edges in the graph.
[ "Print", "a", "summary", "of", "the", "edges", "in", "the", "graph", "." ]
[ "\"\"\"Print a summary of the edges in the graph.\"\"\"" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "examples", "type": "bool" }, { "param": "minimum", "type": "Optional[int]" }, { "param": "file", "type": "Optional[TextIO]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "examples", "type": "bool", "docstring": null, "docstri...
dc03ab99c43db7428a177236d6b84c8328d2839d
rpatil524/pybel
src/pybel/struct/summary/supersummary.py
[ "MIT" ]
Python
citations
None
def citations(graph: BELGraph, n: Optional[int] = 15, file: Optional[TextIO] = None) -> None: """Print a summary of the citations in the graph.""" edge_mapping = multidict( ((data[CITATION][NAMESPACE], data[CITATION][IDENTIFIER]), graph.edge_to_bel(u, v, data)) for u, v, data in graph.edges(data...
Print a summary of the citations in the graph.
Print a summary of the citations in the graph.
[ "Print", "a", "summary", "of", "the", "citations", "in", "the", "graph", "." ]
def citations(graph: BELGraph, n: Optional[int] = 15, file: Optional[TextIO] = None) -> None: edge_mapping = multidict( ((data[CITATION][NAMESPACE], data[CITATION][IDENTIFIER]), graph.edge_to_bel(u, v, data)) for u, v, data in graph.edges(data=True) if CITATION in data ) edge_c = Cou...
[ "def", "citations", "(", "graph", ":", "BELGraph", ",", "n", ":", "Optional", "[", "int", "]", "=", "15", ",", "file", ":", "Optional", "[", "TextIO", "]", "=", "None", ")", "->", "None", ":", "edge_mapping", "=", "multidict", "(", "(", "(", "data"...
Print a summary of the citations in the graph.
[ "Print", "a", "summary", "of", "the", "citations", "in", "the", "graph", "." ]
[ "\"\"\"Print a summary of the citations in the graph.\"\"\"", "# noqa:S311" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "n", "type": "Optional[int]" }, { "param": "file", "type": "Optional[TextIO]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "n", "type": "Optional[int]", "docstring": null, "docst...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
md5
str
def md5(self) -> str: """Get the MD5 hash of this node.""" if self._md5 is None: self._md5 = hashlib.md5(self.as_bel().encode('utf8')).hexdigest() # noqa: S303 return self._md5
Get the MD5 hash of this node.
Get the MD5 hash of this node.
[ "Get", "the", "MD5", "hash", "of", "this", "node", "." ]
def md5(self) -> str: if self._md5 is None: self._md5 = hashlib.md5(self.as_bel().encode('utf8')).hexdigest() return self._md5
[ "def", "md5", "(", "self", ")", "->", "str", ":", "if", "self", ".", "_md5", "is", "None", ":", "self", ".", "_md5", "=", "hashlib", ".", "md5", "(", "self", ".", "as_bel", "(", ")", ".", "encode", "(", "'utf8'", ")", ")", ".", "hexdigest", "("...
Get the MD5 hash of this node.
[ "Get", "the", "MD5", "hash", "of", "this", "node", "." ]
[ "\"\"\"Get the MD5 hash of this node.\"\"\"", "# noqa: S303" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
safe_label
str
def safe_label(self) -> str: """Get the safe label for the node (name or BEL).""" if isinstance(self, CentralDogma) and self.variants: return self.as_bel() if isinstance(self, BaseConcept): return self.curie return self.as_bel()
Get the safe label for the node (name or BEL).
Get the safe label for the node (name or BEL).
[ "Get", "the", "safe", "label", "for", "the", "node", "(", "name", "or", "BEL", ")", "." ]
def safe_label(self) -> str: if isinstance(self, CentralDogma) and self.variants: return self.as_bel() if isinstance(self, BaseConcept): return self.curie return self.as_bel()
[ "def", "safe_label", "(", "self", ")", "->", "str", ":", "if", "isinstance", "(", "self", ",", "CentralDogma", ")", "and", "self", ".", "variants", ":", "return", "self", ".", "as_bel", "(", ")", "if", "isinstance", "(", "self", ",", "BaseConcept", ")"...
Get the safe label for the node (name or BEL).
[ "Get", "the", "safe", "label", "for", "the", "node", "(", "name", "or", "BEL", ")", "." ]
[ "\"\"\"Get the safe label for the node (name or BEL).\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers: bool = True) -> str: """Return this node as a BEL string.""" return "{}({})".format( self._bel_function, self.obo if use_identifiers and self.entity.identifier and self.entity.name else self.curie, )
Return this node as a BEL string.
Return this node as a BEL string.
[ "Return", "this", "node", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers: bool = True) -> str: return "{}({})".format( self._bel_function, self.obo if use_identifiers and self.entity.identifier and self.entity.name else self.curie, )
[ "def", "as_bel", "(", "self", ",", "use_identifiers", ":", "bool", "=", "True", ")", "->", "str", ":", "return", "\"{}({})\"", ".", "format", "(", "self", ".", "_bel_function", ",", "self", ".", "obo", "if", "use_identifiers", "and", "self", ".", "entity...
Return this node as a BEL string.
[ "Return", "this", "node", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this node as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring": null, "docstri...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers: bool = True) -> str: """Return this node as a BEL string.""" if not self.variants: return super().as_bel(use_identifiers=use_identifiers) variants_canon = sorted([ variant.as_bel(use_identifiers=use_identifiers) for variant i...
Return this node as a BEL string.
Return this node as a BEL string.
[ "Return", "this", "node", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers: bool = True) -> str: if not self.variants: return super().as_bel(use_identifiers=use_identifiers) variants_canon = sorted([ variant.as_bel(use_identifiers=use_identifiers) for variant in self.variants ]) return "{}({},...
[ "def", "as_bel", "(", "self", ",", "use_identifiers", ":", "bool", "=", "True", ")", "->", "str", ":", "if", "not", "self", ".", "variants", ":", "return", "super", "(", ")", ".", "as_bel", "(", "use_identifiers", "=", "use_identifiers", ")", "variants_c...
Return this node as a BEL string.
[ "Return", "this", "node", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this node as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring": null, "docstri...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
with_variants
'CentralDogma'
def with_variants(self, variants: Union[Variant, List[Variant]]) -> 'CentralDogma': """Create a new entity with the given variants. :param variants: An optional variant or list of variants >>> from pybel.dsl import Protein, Fragment >>> app = Protein(name='APP', namespace='HGNC') ...
Create a new entity with the given variants. :param variants: An optional variant or list of variants >>> from pybel.dsl import Protein, Fragment >>> app = Protein(name='APP', namespace='HGNC') >>> ab42 = app.with_variants([Fragment(start=672, stop=713)]) >>> assert 'p(HGNC:APP...
Create a new entity with the given variants.
[ "Create", "a", "new", "entity", "with", "the", "given", "variants", "." ]
def with_variants(self, variants: Union[Variant, List[Variant]]) -> 'CentralDogma': return self.__class__( namespace=self.namespace, name=self.name, identifier=self.identifier, xrefs=self.xrefs, variants=variants, )
[ "def", "with_variants", "(", "self", ",", "variants", ":", "Union", "[", "Variant", ",", "List", "[", "Variant", "]", "]", ")", "->", "'CentralDogma'", ":", "return", "self", ".", "__class__", "(", "namespace", "=", "self", ".", "namespace", ",", "name",...
Create a new entity with the given variants.
[ "Create", "a", "new", "entity", "with", "the", "given", "variants", "." ]
[ "\"\"\"Create a new entity with the given variants.\n\n :param variants: An optional variant or list of variants\n\n >>> from pybel.dsl import Protein, Fragment\n >>> app = Protein(name='APP', namespace='HGNC')\n >>> ab42 = app.with_variants([Fragment(start=672, stop=713)])\n >>> ...
[ { "param": "self", "type": null }, { "param": "variants", "type": "Union[Variant, List[Variant]]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "variants", "type": "Union[Variant, List[Variant]]", "docstring": "A...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers: bool = True) -> str: """Return this protein modification variant as a BEL string.""" if use_identifiers and self.entity.identifier and self.entity.name: x = self.entity.obo else: x = self.entity.curie return 'pmod({}{})'.format( ...
Return this protein modification variant as a BEL string.
Return this protein modification variant as a BEL string.
[ "Return", "this", "protein", "modification", "variant", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers: bool = True) -> str: if use_identifiers and self.entity.identifier and self.entity.name: x = self.entity.obo else: x = self.entity.curie return 'pmod({}{})'.format( x, ''.join(', {}'.format(self[x]) for x in PMOD_O...
[ "def", "as_bel", "(", "self", ",", "use_identifiers", ":", "bool", "=", "True", ")", "->", "str", ":", "if", "use_identifiers", "and", "self", ".", "entity", ".", "identifier", "and", "self", ".", "entity", ".", "name", ":", "x", "=", "self", ".", "e...
Return this protein modification variant as a BEL string.
[ "Return", "this", "protein", "modification", "variant", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this protein modification variant as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring": null, "docstri...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers: bool = True) -> str: """Return this gene modification variant as a BEL string.""" if use_identifiers and self.entity.identifier and self.entity.name: x = self.entity.obo else: x = self.entity.curie return 'gmod({})'.format(x)
Return this gene modification variant as a BEL string.
Return this gene modification variant as a BEL string.
[ "Return", "this", "gene", "modification", "variant", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers: bool = True) -> str: if use_identifiers and self.entity.identifier and self.entity.name: x = self.entity.obo else: x = self.entity.curie return 'gmod({})'.format(x)
[ "def", "as_bel", "(", "self", ",", "use_identifiers", ":", "bool", "=", "True", ")", "->", "str", ":", "if", "use_identifiers", "and", "self", ".", "entity", ".", "identifier", "and", "self", ".", "entity", ".", "name", ":", "x", "=", "self", ".", "e...
Return this gene modification variant as a BEL string.
[ "Return", "this", "gene", "modification", "variant", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this gene modification variant as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring": null, "docstri...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
range
str
def range(self) -> str: """Get the range of this fragment.""" if FRAGMENT_MISSING in self: return '?' return '{}_{}'.format(self[FRAGMENT_START], self[FRAGMENT_STOP])
Get the range of this fragment.
Get the range of this fragment.
[ "Get", "the", "range", "of", "this", "fragment", "." ]
def range(self) -> str: if FRAGMENT_MISSING in self: return '?' return '{}_{}'.format(self[FRAGMENT_START], self[FRAGMENT_STOP])
[ "def", "range", "(", "self", ")", "->", "str", ":", "if", "FRAGMENT_MISSING", "in", "self", ":", "return", "'?'", "return", "'{}_{}'", ".", "format", "(", "self", "[", "FRAGMENT_START", "]", ",", "self", "[", "FRAGMENT_STOP", "]", ")" ]
Get the range of this fragment.
[ "Get", "the", "range", "of", "this", "fragment", "." ]
[ "\"\"\"Get the range of this fragment.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers=False) -> str: """Return this fragment variant as a BEL string.""" res = '"{}"'.format(self.range) if FRAGMENT_DESCRIPTION in self: res += ', "{}"'.format(self[FRAGMENT_DESCRIPTION]) return 'frag({})'.format(res)
Return this fragment variant as a BEL string.
Return this fragment variant as a BEL string.
[ "Return", "this", "fragment", "variant", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers=False) -> str: res = '"{}"'.format(self.range) if FRAGMENT_DESCRIPTION in self: res += ', "{}"'.format(self[FRAGMENT_DESCRIPTION]) return 'frag({})'.format(res)
[ "def", "as_bel", "(", "self", ",", "use_identifiers", "=", "False", ")", "->", "str", ":", "res", "=", "'\"{}\"'", ".", "format", "(", "self", ".", "range", ")", "if", "FRAGMENT_DESCRIPTION", "in", "self", ":", "res", "+=", "', \"{}\"'", ".", "format", ...
Return this fragment variant as a BEL string.
[ "Return", "this", "fragment", "variant", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this fragment variant as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": null, "docstring": null, "docstring...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
_entity_list_as_bel
str
def _entity_list_as_bel(entities: Iterable[BaseEntity], use_identifiers: bool = True) -> str: """Stringify a list of BEL entities.""" return ', '.join( e.as_bel(use_identifiers=use_identifiers) for e in entities )
Stringify a list of BEL entities.
Stringify a list of BEL entities.
[ "Stringify", "a", "list", "of", "BEL", "entities", "." ]
def _entity_list_as_bel(entities: Iterable[BaseEntity], use_identifiers: bool = True) -> str: return ', '.join( e.as_bel(use_identifiers=use_identifiers) for e in entities )
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Stringify a list of BEL entities.
[ "Stringify", "a", "list", "of", "BEL", "entities", "." ]
[ "\"\"\"Stringify a list of BEL entities.\"\"\"" ]
[ { "param": "entities", "type": "Iterable[BaseEntity]" }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "entities", "type": "Iterable[BaseEntity]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring"...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers: bool = True) -> str: """Return this reaction as a BEL string.""" return 'rxn(reactants({}), products({}))'.format( _entity_list_as_bel(self.reactants, use_identifiers=use_identifiers), _entity_list_as_bel(self.products, use_identifiers=use_identi...
Return this reaction as a BEL string.
Return this reaction as a BEL string.
[ "Return", "this", "reaction", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers: bool = True) -> str: return 'rxn(reactants({}), products({}))'.format( _entity_list_as_bel(self.reactants, use_identifiers=use_identifiers), _entity_list_as_bel(self.products, use_identifiers=use_identifiers), )
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Return this reaction as a BEL string.
[ "Return", "this", "reaction", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this reaction as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring": null, "docstri...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers: bool = True) -> str: """Return this list abundance as a BEL string.""" return '{}({})'.format( self._bel_function, _entity_list_as_bel(self.members, use_identifiers=use_identifiers), )
Return this list abundance as a BEL string.
Return this list abundance as a BEL string.
[ "Return", "this", "list", "abundance", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers: bool = True) -> str: return '{}({})'.format( self._bel_function, _entity_list_as_bel(self.members, use_identifiers=use_identifiers), )
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Return this list abundance as a BEL string.
[ "Return", "this", "list", "abundance", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this list abundance as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring": null, "docstri...
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self) -> str: """Return this fusion range as a BEL string.""" return '{reference}.{start}_{stop}'.format( reference=self[FUSION_REFERENCE], start=self[FUSION_START], stop=self[FUSION_STOP], )
Return this fusion range as a BEL string.
Return this fusion range as a BEL string.
[ "Return", "this", "fusion", "range", "as", "a", "BEL", "string", "." ]
def as_bel(self) -> str: return '{reference}.{start}_{stop}'.format( reference=self[FUSION_REFERENCE], start=self[FUSION_START], stop=self[FUSION_STOP], )
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Return this fusion range as a BEL string.
[ "Return", "this", "fusion", "range", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this fusion range as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
5d18410717233daf8364ba83e2b6c8060ce02fcc
rpatil524/pybel
src/pybel/dsl/node_classes.py
[ "MIT" ]
Python
as_bel
str
def as_bel(self, use_identifiers: bool = True) -> str: """Return this fusion as a BEL string.""" if use_identifiers and self.partner_3p.entity.identifier and self.partner_3p.entity.name: p3p = self.partner_3p.obo else: p3p = self.partner_3p.curie if use_identifie...
Return this fusion as a BEL string.
Return this fusion as a BEL string.
[ "Return", "this", "fusion", "as", "a", "BEL", "string", "." ]
def as_bel(self, use_identifiers: bool = True) -> str: if use_identifiers and self.partner_3p.entity.identifier and self.partner_3p.entity.name: p3p = self.partner_3p.obo else: p3p = self.partner_3p.curie if use_identifiers and self.partner_5p.entity.identifier and self.p...
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Return this fusion as a BEL string.
[ "Return", "this", "fusion", "as", "a", "BEL", "string", "." ]
[ "\"\"\"Return this fusion as a BEL string.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "use_identifiers", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "use_identifiers", "type": "bool", "docstring": null, "docstri...
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
compile
null
def compile( manager, path, allow_naked_names, disallow_nested, disallow_unqualified_translocations, no_identifier_validation, no_citation_clearing, required_annotations, upgrade_urls, skip_tqdm, ): """Compile a BEL script to a graph.""" logger.debug('using connection: %s', manager.engine.url) clic...
Compile a BEL script to a graph.
Compile a BEL script to a graph.
[ "Compile", "a", "BEL", "script", "to", "a", "graph", "." ]
def compile( manager, path, allow_naked_names, disallow_nested, disallow_unqualified_translocations, no_identifier_validation, no_citation_clearing, required_annotations, upgrade_urls, skip_tqdm, ): logger.debug('using connection: %s', manager.engine.url) click.secho('Compilation', fg='red', bold=True) ...
[ "def", "compile", "(", "manager", ",", "path", ",", "allow_naked_names", ",", "disallow_nested", ",", "disallow_unqualified_translocations", ",", "no_identifier_validation", ",", "no_citation_clearing", ",", "required_annotations", ",", "upgrade_urls", ",", "skip_tqdm", "...
Compile a BEL script to a graph.
[ "Compile", "a", "BEL", "script", "to", "a", "graph", "." ]
[ "\"\"\"Compile a BEL script to a graph.\"\"\"" ]
[ { "param": "manager", "type": null }, { "param": "path", "type": null }, { "param": "allow_naked_names", "type": null }, { "param": "disallow_nested", "type": null }, { "param": "disallow_unqualified_translocations", "type": null }, { "param": "no_iden...
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "path", "type": null, "docstring": null, "docstring_tokens"...
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
upload
null
def upload(graph: BELGraph, host: str, user: str, password: str): """Upload a graph to BEL Commons.""" resp = to_bel_commons(graph, host=host, user=user, password=password) resp.raise_for_status() click.echo(json.dumps(resp.json()))
Upload a graph to BEL Commons.
Upload a graph to BEL Commons.
[ "Upload", "a", "graph", "to", "BEL", "Commons", "." ]
def upload(graph: BELGraph, host: str, user: str, password: str): resp = to_bel_commons(graph, host=host, user=user, password=password) resp.raise_for_status() click.echo(json.dumps(resp.json()))
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Upload a graph to BEL Commons.
[ "Upload", "a", "graph", "to", "BEL", "Commons", "." ]
[ "\"\"\"Upload a graph to BEL Commons.\"\"\"" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "host", "type": "str" }, { "param": "user", "type": "str" }, { "param": "password", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "host", "type": "str", "docstring": null, "docstring_to...
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
serialize
null
def serialize(graph: BELGraph, tsv, edgelist, sif, gsea, graphml, nodelink, bel): """Serialize a graph to various formats.""" if tsv: logger.info('Outputting TSV to %s', tsv) to_triples_file(graph, tsv) if edgelist: logger.info('Outputting edgelist to %s', edgelist) to_edgel...
Serialize a graph to various formats.
Serialize a graph to various formats.
[ "Serialize", "a", "graph", "to", "various", "formats", "." ]
def serialize(graph: BELGraph, tsv, edgelist, sif, gsea, graphml, nodelink, bel): if tsv: logger.info('Outputting TSV to %s', tsv) to_triples_file(graph, tsv) if edgelist: logger.info('Outputting edgelist to %s', edgelist) to_edgelist(graph, edgelist) if sif: logger.i...
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Serialize a graph to various formats.
[ "Serialize", "a", "graph", "to", "various", "formats", "." ]
[ "\"\"\"Serialize a graph to various formats.\"\"\"" ]
[ { "param": "graph", "type": "BELGraph" }, { "param": "tsv", "type": null }, { "param": "edgelist", "type": null }, { "param": "sif", "type": null }, { "param": "gsea", "type": null }, { "param": "graphml", "type": null }, { "param": "nodeli...
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "tsv", "type": null, "docstring": null, "docstring_toke...
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
machine
null
def machine(manager: Manager, agents: List[str], local: bool, host: str): """Get content from the INDRA machine and upload to BEL Commons.""" from indra.sources import indra_db_rest from pybel import from_indra_statements statements = indra_db_rest.get_statements(agents=agents) click.echo('got {} s...
Get content from the INDRA machine and upload to BEL Commons.
Get content from the INDRA machine and upload to BEL Commons.
[ "Get", "content", "from", "the", "INDRA", "machine", "and", "upload", "to", "BEL", "Commons", "." ]
def machine(manager: Manager, agents: List[str], local: bool, host: str): from indra.sources import indra_db_rest from pybel import from_indra_statements statements = indra_db_rest.get_statements(agents=agents) click.echo('got {} statements from INDRA'.format(len(statements))) graph = from_indra_sta...
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Get content from the INDRA machine and upload to BEL Commons.
[ "Get", "content", "from", "the", "INDRA", "machine", "and", "upload", "to", "BEL", "Commons", "." ]
[ "\"\"\"Get content from the INDRA machine and upload to BEL Commons.\"\"\"" ]
[ { "param": "manager", "type": "Manager" }, { "param": "agents", "type": "List[str]" }, { "param": "local", "type": "bool" }, { "param": "host", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": "Manager", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "agents", "type": "List[str]", "docstring": null, "doc...
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
examples
null
def examples(manager: Manager, debug: bool): """Load examples to the database.""" level = logging.DEBUG if debug else logging.INFO logging.basicConfig(level=level) logging.getLogger('pybel').setLevel(level) for graph in (sialic_acid_graph, statin_graph, homology_graph, braf_graph, egf_graph): ...
Load examples to the database.
Load examples to the database.
[ "Load", "examples", "to", "the", "database", "." ]
def examples(manager: Manager, debug: bool): level = logging.DEBUG if debug else logging.INFO logging.basicConfig(level=level) logging.getLogger('pybel').setLevel(level) for graph in (sialic_acid_graph, statin_graph, homology_graph, braf_graph, egf_graph): if manager.has_name_version(graph.name,...
[ "def", "examples", "(", "manager", ":", "Manager", ",", "debug", ":", "bool", ")", ":", "level", "=", "logging", ".", "DEBUG", "if", "debug", "else", "logging", ".", "INFO", "logging", ".", "basicConfig", "(", "level", "=", "level", ")", "logging", "."...
Load examples to the database.
[ "Load", "examples", "to", "the", "database", "." ]
[ "\"\"\"Load examples to the database.\"\"\"" ]
[ { "param": "manager", "type": "Manager" }, { "param": "debug", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": "Manager", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "debug", "type": "bool", "docstring": null, "docstring...
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
drop
null
def drop(manager: Manager, network_id: Optional[int], yes): """Drop a network by its identifier or drop all networks.""" if network_id: manager.drop_network_by_id(network_id) elif yes or click.confirm('Drop all networks?'): manager.drop_networks()
Drop a network by its identifier or drop all networks.
Drop a network by its identifier or drop all networks.
[ "Drop", "a", "network", "by", "its", "identifier", "or", "drop", "all", "networks", "." ]
def drop(manager: Manager, network_id: Optional[int], yes): if network_id: manager.drop_network_by_id(network_id) elif yes or click.confirm('Drop all networks?'): manager.drop_networks()
[ "def", "drop", "(", "manager", ":", "Manager", ",", "network_id", ":", "Optional", "[", "int", "]", ",", "yes", ")", ":", "if", "network_id", ":", "manager", ".", "drop_network_by_id", "(", "network_id", ")", "elif", "yes", "or", "click", ".", "confirm",...
Drop a network by its identifier or drop all networks.
[ "Drop", "a", "network", "by", "its", "identifier", "or", "drop", "all", "networks", "." ]
[ "\"\"\"Drop a network by its identifier or drop all networks.\"\"\"" ]
[ { "param": "manager", "type": "Manager" }, { "param": "network_id", "type": "Optional[int]" }, { "param": "yes", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": "Manager", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "network_id", "type": "Optional[int]", "docstring": null, ...
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
prune
null
def prune(manager: Manager): """Prune nodes not belonging to any edges.""" nodes_to_delete = [ node for node in tqdm(manager.session.query(Node), total=manager.count_nodes()) if not node.networks ] manager.session.delete(nodes_to_delete) manager.session.commit()
Prune nodes not belonging to any edges.
Prune nodes not belonging to any edges.
[ "Prune", "nodes", "not", "belonging", "to", "any", "edges", "." ]
def prune(manager: Manager): nodes_to_delete = [ node for node in tqdm(manager.session.query(Node), total=manager.count_nodes()) if not node.networks ] manager.session.delete(nodes_to_delete) manager.session.commit()
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Prune nodes not belonging to any edges.
[ "Prune", "nodes", "not", "belonging", "to", "any", "edges", "." ]
[ "\"\"\"Prune nodes not belonging to any edges.\"\"\"" ]
[ { "param": "manager", "type": "Manager" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": "Manager", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
summarize
null
def summarize(manager: Manager): """Summarize the contents of the database.""" click.echo('Networks: {}'.format(manager.count_networks())) click.echo('Edges: {}'.format(manager.count_edges())) click.echo('Nodes: {}'.format(manager.count_nodes())) click.echo('Namespaces: {}'.format(manager.count_name...
Summarize the contents of the database.
Summarize the contents of the database.
[ "Summarize", "the", "contents", "of", "the", "database", "." ]
def summarize(manager: Manager): click.echo('Networks: {}'.format(manager.count_networks())) click.echo('Edges: {}'.format(manager.count_edges())) click.echo('Nodes: {}'.format(manager.count_nodes())) click.echo('Namespaces: {}'.format(manager.count_namespaces())) click.echo('Namespaces entries: {}'...
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Summarize the contents of the database.
[ "Summarize", "the", "contents", "of", "the", "database", "." ]
[ "\"\"\"Summarize the contents of the database.\"\"\"" ]
[ { "param": "manager", "type": "Manager" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "manager", "type": "Manager", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
cb5265eca0c5b2997d0c6132edb3587fcc9b4d32
rpatil524/pybel
src/pybel/cli.py
[ "MIT" ]
Python
echo_warnings_via_pager
None
def echo_warnings_via_pager(warnings: List[WarningTuple], sep: str = '\t') -> None: """Output the warnings from a BEL graph with Click and the system's pager.""" # Exit if no warnings if not warnings: click.echo('Congratulations! No warnings.') sys.exit(0) max_line_width = max( ...
Output the warnings from a BEL graph with Click and the system's pager.
Output the warnings from a BEL graph with Click and the system's pager.
[ "Output", "the", "warnings", "from", "a", "BEL", "graph", "with", "Click", "and", "the", "system", "'", "s", "pager", "." ]
def echo_warnings_via_pager(warnings: List[WarningTuple], sep: str = '\t') -> None: if not warnings: click.echo('Congratulations! No warnings.') sys.exit(0) max_line_width = max( len(str(exc.line_number)) for _, exc, _ in warnings ) max_warning_width = max( len(ex...
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Output the warnings from a BEL graph with Click and the system's pager.
[ "Output", "the", "warnings", "from", "a", "BEL", "graph", "with", "Click", "and", "the", "system", "'", "s", "pager", "." ]
[ "\"\"\"Output the warnings from a BEL graph with Click and the system's pager.\"\"\"", "# Exit if no warnings" ]
[ { "param": "warnings", "type": "List[WarningTuple]" }, { "param": "sep", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "warnings", "type": "List[WarningTuple]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "sep", "type": "str", "docstring": null, "...
14f1e332ffb9c0ed5db7036ef567c522c79883de
rpatil524/pybel
src/pybel/manager/models.py
[ "MIT" ]
Python
to_json
Mapping[str, str]
def to_json(self, include_id: bool = False) -> Mapping[str, str]: """Return the most useful entries as a dictionary. :param include_id: If true, includes the model identifier """ result = { 'keyword': self.keyword, 'name': self.name, 'version'...
Return the most useful entries as a dictionary. :param include_id: If true, includes the model identifier
Return the most useful entries as a dictionary.
[ "Return", "the", "most", "useful", "entries", "as", "a", "dictionary", "." ]
def to_json(self, include_id: bool = False) -> Mapping[str, str]: result = { 'keyword': self.keyword, 'name': self.name, 'version': self.version, } if self.url: result['url'] = self.url else: result['pattern'] = self.pattern ...
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Return the most useful entries as a dictionary.
[ "Return", "the", "most", "useful", "entries", "as", "a", "dictionary", "." ]
[ "\"\"\"Return the most useful entries as a dictionary.\r\n\r\n :param include_id: If true, includes the model identifier\r\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "include_id", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "include_id", "type": "bool", "docstring": "If true, includes the mo...
14f1e332ffb9c0ed5db7036ef567c522c79883de
rpatil524/pybel
src/pybel/manager/models.py
[ "MIT" ]
Python
to_json
Mapping[str, str]
def to_json(self, include_id: bool = False) -> Mapping[str, str]: """Describe the namespaceEntry as dictionary of Namespace-Keyword and Name. :param include_id: If true, includes the model identifier """ result = { NAMESPACE: self.namespace.keyword, } ...
Describe the namespaceEntry as dictionary of Namespace-Keyword and Name. :param include_id: If true, includes the model identifier
Describe the namespaceEntry as dictionary of Namespace-Keyword and Name.
[ "Describe", "the", "namespaceEntry", "as", "dictionary", "of", "Namespace", "-", "Keyword", "and", "Name", "." ]
def to_json(self, include_id: bool = False) -> Mapping[str, str]: result = { NAMESPACE: self.namespace.keyword, } if self.name: result[NAME] = self.name if self.identifier: result[IDENTIFIER] = self.identifier if include_id: result[...
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Describe the namespaceEntry as dictionary of Namespace-Keyword and Name.
[ "Describe", "the", "namespaceEntry", "as", "dictionary", "of", "Namespace", "-", "Keyword", "and", "Name", "." ]
[ "\"\"\"Describe the namespaceEntry as dictionary of Namespace-Keyword and Name.\r\n\r\n :param include_id: If true, includes the model identifier\r\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "include_id", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "include_id", "type": "bool", "docstring": "If true, includes the mo...
14f1e332ffb9c0ed5db7036ef567c522c79883de
rpatil524/pybel
src/pybel/manager/models.py
[ "MIT" ]
Python
to_json
Mapping[str, Any]
def to_json(self, include_id: bool = False) -> Mapping[str, Any]: """Return this network as JSON. :param include_id: If true, includes the model identifier """ result = { METADATA_NAME: self.name, METADATA_VERSION: self.version, } if se...
Return this network as JSON. :param include_id: If true, includes the model identifier
Return this network as JSON.
[ "Return", "this", "network", "as", "JSON", "." ]
def to_json(self, include_id: bool = False) -> Mapping[str, Any]: result = { METADATA_NAME: self.name, METADATA_VERSION: self.version, } if self.created: result['created'] = str(self.created) if include_id: result['id'] = self.id if...
[ "def", "to_json", "(", "self", ",", "include_id", ":", "bool", "=", "False", ")", "->", "Mapping", "[", "str", ",", "Any", "]", ":", "result", "=", "{", "METADATA_NAME", ":", "self", ".", "name", ",", "METADATA_VERSION", ":", "self", ".", "version", ...
Return this network as JSON.
[ "Return", "this", "network", "as", "JSON", "." ]
[ "\"\"\"Return this network as JSON.\r\n\r\n :param include_id: If true, includes the model identifier\r\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "include_id", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "include_id", "type": "bool", "docstring": "If true, includes the mo...
14f1e332ffb9c0ed5db7036ef567c522c79883de
rpatil524/pybel
src/pybel/manager/models.py
[ "MIT" ]
Python
_start_from_base_entity
'Node'
def _start_from_base_entity(base_entity) -> 'Node': """Convert a base entity to a node model. :type base_entity: pybel.dsl.BaseEntity """ return Node( type=base_entity.function, bel=base_entity.as_bel(), md5=base_entity.md5, data=...
Convert a base entity to a node model. :type base_entity: pybel.dsl.BaseEntity
Convert a base entity to a node model.
[ "Convert", "a", "base", "entity", "to", "a", "node", "model", "." ]
def _start_from_base_entity(base_entity) -> 'Node': return Node( type=base_entity.function, bel=base_entity.as_bel(), md5=base_entity.md5, data=base_entity, )
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Convert a base entity to a node model.
[ "Convert", "a", "base", "entity", "to", "a", "node", "model", "." ]
[ "\"\"\"Convert a base entity to a node model.\r\n\r\n :type base_entity: pybel.dsl.BaseEntity\r\n \"\"\"" ]
[ { "param": "base_entity", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "base_entity", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
14f1e332ffb9c0ed5db7036ef567c522c79883de
rpatil524/pybel
src/pybel/manager/models.py
[ "MIT" ]
Python
as_bel
<not_specific>
def as_bel(self): """Serialize this node as a PyBEL DSL object. :rtype: pybel.dsl.BaseEntity """ return parse_result_to_dsl(self.data)
Serialize this node as a PyBEL DSL object. :rtype: pybel.dsl.BaseEntity
Serialize this node as a PyBEL DSL object.
[ "Serialize", "this", "node", "as", "a", "PyBEL", "DSL", "object", "." ]
def as_bel(self): return parse_result_to_dsl(self.data)
[ "def", "as_bel", "(", "self", ")", ":", "return", "parse_result_to_dsl", "(", "self", ".", "data", ")" ]
Serialize this node as a PyBEL DSL object.
[ "Serialize", "this", "node", "as", "a", "PyBEL", "DSL", "object", "." ]
[ "\"\"\"Serialize this node as a PyBEL DSL object.\r\n\r\n :rtype: pybel.dsl.BaseEntity\r\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": "pybel.dsl.BaseEntity" } ], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_...
14f1e332ffb9c0ed5db7036ef567c522c79883de
rpatil524/pybel
src/pybel/manager/models.py
[ "MIT" ]
Python
to_json
Mapping[str, Any]
def to_json(self, include_id: bool = False) -> Mapping[str, Any]: """Create a citation dictionary that is used to recreate the edge data dictionary of a :class:`BELGraph`. :param bool include_id: If true, includes the model identifier :return: Citation dictionary for the recreation of a :cl...
Create a citation dictionary that is used to recreate the edge data dictionary of a :class:`BELGraph`. :param bool include_id: If true, includes the model identifier :return: Citation dictionary for the recreation of a :class:`BELGraph`.
Create a citation dictionary that is used to recreate the edge data dictionary of a :class:`BELGraph`.
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def to_json(self, include_id: bool = False) -> Mapping[str, Any]: result = CitationDict( namespace=self.db, identifier=self.db_id, name=self.title, ) if include_id: result['id'] = self.id if self.title: result[NAME] = self.title...
[ "def", "to_json", "(", "self", ",", "include_id", ":", "bool", "=", "False", ")", "->", "Mapping", "[", "str", ",", "Any", "]", ":", "result", "=", "CitationDict", "(", "namespace", "=", "self", ".", "db", ",", "identifier", "=", "self", ".", "db_id"...
Create a citation dictionary that is used to recreate the edge data dictionary of a :class:`BELGraph`.
[ "Create", "a", "citation", "dictionary", "that", "is", "used", "to", "recreate", "the", "edge", "data", "dictionary", "of", "a", ":", "class", ":", "`", "BELGraph", "`", "." ]
[ "\"\"\"Create a citation dictionary that is used to recreate the edge data dictionary of a :class:`BELGraph`.\r\n\r\n :param bool include_id: If true, includes the model identifier\r\n :return: Citation dictionary for the recreation of a :class:`BELGraph`.\r\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "include_id", "type": "bool" } ]
{ "returns": [ { "docstring": "Citation dictionary for the recreation of a :class:`BELGraph`.", "docstring_tokens": [ "Citation", "dictionary", "for", "the", "recreation", "of", "a", ":", "class", ":", "`", ...
14f1e332ffb9c0ed5db7036ef567c522c79883de
rpatil524/pybel
src/pybel/manager/models.py
[ "MIT" ]
Python
insert_into_graph
str
def insert_into_graph(self, graph: BELGraph) -> str: """Insert this edge into a BEL graph.""" u = self.source.as_bel() v = self.target.as_bel() if self.evidence: return graph.add_qualified_edge(u, v, **self.data) else: return graph.add_unqualified...
Insert this edge into a BEL graph.
Insert this edge into a BEL graph.
[ "Insert", "this", "edge", "into", "a", "BEL", "graph", "." ]
def insert_into_graph(self, graph: BELGraph) -> str: u = self.source.as_bel() v = self.target.as_bel() if self.evidence: return graph.add_qualified_edge(u, v, **self.data) else: return graph.add_unqualified_edge(u, v, self.relation)
[ "def", "insert_into_graph", "(", "self", ",", "graph", ":", "BELGraph", ")", "->", "str", ":", "u", "=", "self", ".", "source", ".", "as_bel", "(", ")", "v", "=", "self", ".", "target", ".", "as_bel", "(", ")", "if", "self", ".", "evidence", ":", ...
Insert this edge into a BEL graph.
[ "Insert", "this", "edge", "into", "a", "BEL", "graph", "." ]
[ "\"\"\"Insert this edge into a BEL graph.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "graph", "type": "BELGraph" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tok...
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
new
BELGraph
def new(self) -> BELGraph: """Generate a new BEL graph with the given metadata.""" graph = BELGraph() self.update(graph) return graph
Generate a new BEL graph with the given metadata.
Generate a new BEL graph with the given metadata.
[ "Generate", "a", "new", "BEL", "graph", "with", "the", "given", "metadata", "." ]
def new(self) -> BELGraph: graph = BELGraph() self.update(graph) return graph
[ "def", "new", "(", "self", ")", "->", "BELGraph", ":", "graph", "=", "BELGraph", "(", ")", "self", ".", "update", "(", "graph", ")", "return", "graph" ]
Generate a new BEL graph with the given metadata.
[ "Generate", "a", "new", "BEL", "graph", "with", "the", "given", "metadata", "." ]
[ "\"\"\"Generate a new BEL graph with the given metadata.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
update
None
def update(self, graph: BELGraph) -> None: """Update the BEL graph's metadata.""" if self.name: graph.name = self.name if self.version: graph.version = self.version if self.authors: graph.authors = self.authors if self.description: ...
Update the BEL graph's metadata.
Update the BEL graph's metadata.
[ "Update", "the", "BEL", "graph", "'", "s", "metadata", "." ]
def update(self, graph: BELGraph) -> None: if self.name: graph.name = self.name if self.version: graph.version = self.version if self.authors: graph.authors = self.authors if self.description: graph.description = self.description if...
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Update the BEL graph's metadata.
[ "Update", "the", "BEL", "graph", "'", "s", "metadata", "." ]
[ "\"\"\"Update the BEL graph's metadata.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "graph", "type": "BELGraph" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "graph", "type": "BELGraph", "docstring": null, "docstring_tok...
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
iterate_bel
Iterable[Tuple[str, str]]
def iterate_bel(self) -> Iterable[Tuple[str, str]]: """Yield all paths to BEL documents.""" for root, _dirs, file_names in self.walk(): for file_name in sorted(file_names): if not file_name.startswith('_') and file_name.endswith('.bel'): yield root, file_n...
Yield all paths to BEL documents.
Yield all paths to BEL documents.
[ "Yield", "all", "paths", "to", "BEL", "documents", "." ]
def iterate_bel(self) -> Iterable[Tuple[str, str]]: for root, _dirs, file_names in self.walk(): for file_name in sorted(file_names): if not file_name.startswith('_') and file_name.endswith('.bel'): yield root, file_name
[ "def", "iterate_bel", "(", "self", ")", "->", "Iterable", "[", "Tuple", "[", "str", ",", "str", "]", "]", ":", "for", "root", ",", "_dirs", ",", "file_names", "in", "self", ".", "walk", "(", ")", ":", "for", "file_name", "in", "sorted", "(", "file_...
Yield all paths to BEL documents.
[ "Yield", "all", "paths", "to", "BEL", "documents", "." ]
[ "\"\"\"Yield all paths to BEL documents.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
clear_local_warned
None
def clear_local_warned(self) -> None: """Clear caches for BEL documents with errors.""" for root, file_name in self.iterate_bel(): if self._has_warnings(root, file_name): self._remove_root_file_name(root, file_name)
Clear caches for BEL documents with errors.
Clear caches for BEL documents with errors.
[ "Clear", "caches", "for", "BEL", "documents", "with", "errors", "." ]
def clear_local_warned(self) -> None: for root, file_name in self.iterate_bel(): if self._has_warnings(root, file_name): self._remove_root_file_name(root, file_name)
[ "def", "clear_local_warned", "(", "self", ")", "->", "None", ":", "for", "root", ",", "file_name", "in", "self", ".", "iterate_bel", "(", ")", ":", "if", "self", ".", "_has_warnings", "(", "root", ",", "file_name", ")", ":", "self", ".", "_remove_root_fi...
Clear caches for BEL documents with errors.
[ "Clear", "caches", "for", "BEL", "documents", "with", "errors", "." ]
[ "\"\"\"Clear caches for BEL documents with errors.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
build_cli
<not_specific>
def build_cli(self): # noqa: D202 """Build a command line interface.""" @click.group(help=f'Tools for the BEL repository at {self.directory} using PyBEL v{get_version()}') @click.pass_context def main(ctx): """Group the commands.""" ctx.obj = self appen...
Build a command line interface.
Build a command line interface.
[ "Build", "a", "command", "line", "interface", "." ]
def build_cli(self): @click.group(help=f'Tools for the BEL repository at {self.directory} using PyBEL v{get_version()}') @click.pass_context def main(ctx): ctx.obj = self append_click_group(main) return main
[ "def", "build_cli", "(", "self", ")", ":", "@", "click", ".", "group", "(", "help", "=", "f'Tools for the BEL repository at {self.directory} using PyBEL v{get_version()}'", ")", "@", "click", ".", "pass_context", "def", "main", "(", "ctx", ")", ":", "\"\"\"Group the...
Build a command line interface.
[ "Build", "a", "command", "line", "interface", "." ]
[ "# noqa: D202", "\"\"\"Build a command line interface.\"\"\"", "\"\"\"Group the commands.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
_iterate_citations
Iterable[Tuple[str, str]]
def _iterate_citations(self, **kwargs) -> Iterable[Tuple[str, str]]: """List all citations in documents in this repository.""" for _, _, data in self.get_graph(**kwargs).edges(data=True): citation = data.get(CITATION) if citation is not None: yield citation.namesp...
List all citations in documents in this repository.
List all citations in documents in this repository.
[ "List", "all", "citations", "in", "documents", "in", "this", "repository", "." ]
def _iterate_citations(self, **kwargs) -> Iterable[Tuple[str, str]]: for _, _, data in self.get_graph(**kwargs).edges(data=True): citation = data.get(CITATION) if citation is not None: yield citation.namespace, citation.identifier
[ "def", "_iterate_citations", "(", "self", ",", "**", "kwargs", ")", "->", "Iterable", "[", "Tuple", "[", "str", ",", "str", "]", "]", ":", "for", "_", ",", "_", ",", "data", "in", "self", ".", "get_graph", "(", "**", "kwargs", ")", ".", "edges", ...
List all citations in documents in this repository.
[ "List", "all", "citations", "in", "documents", "in", "this", "repository", "." ]
[ "\"\"\"List all citations in documents in this repository.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
ls
null
def ls(bel_repository: BELRepository): """List the contents of the repository.""" global_caches = bel_repository._get_global_caches() if global_caches: click.secho('Global Cache', fg='red', bold=True) _write_caches(bel_repository, bel_repository.output_directory, bel_repo...
List the contents of the repository.
List the contents of the repository.
[ "List", "the", "contents", "of", "the", "repository", "." ]
def ls(bel_repository: BELRepository): global_caches = bel_repository._get_global_caches() if global_caches: click.secho('Global Cache', fg='red', bold=True) _write_caches(bel_repository, bel_repository.output_directory, bel_repository.bel_cache_name) click.secho('Loc...
[ "def", "ls", "(", "bel_repository", ":", "BELRepository", ")", ":", "global_caches", "=", "bel_repository", ".", "_get_global_caches", "(", ")", "if", "global_caches", ":", "click", ".", "secho", "(", "'Global Cache'", ",", "fg", "=", "'red'", ",", "bold", "...
List the contents of the repository.
[ "List", "the", "contents", "of", "the", "repository", "." ]
[ "\"\"\"List the contents of the repository.\"\"\"" ]
[ { "param": "bel_repository", "type": "BELRepository" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "bel_repository", "type": "BELRepository", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
756a97354d1f2bab72f3ef3376712bbc4d0dccd5
rpatil524/pybel
src/pybel/repository.py
[ "MIT" ]
Python
upload_separate
null
def upload_separate(repository: BELRepository, host: str, user: str, password: str, sleep: int, private: bool): """Upload all to BEL Commons.""" it = tqdm(repository.get_graphs().items()) for name, graph in it: res = to_bel_commons(graph, host=host, user=user, password=password, publ...
Upload all to BEL Commons.
Upload all to BEL Commons.
[ "Upload", "all", "to", "BEL", "Commons", "." ]
def upload_separate(repository: BELRepository, host: str, user: str, password: str, sleep: int, private: bool): it = tqdm(repository.get_graphs().items()) for name, graph in it: res = to_bel_commons(graph, host=host, user=user, password=password, public=not private) res_json = re...
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Upload all to BEL Commons.
[ "Upload", "all", "to", "BEL", "Commons", "." ]
[ "\"\"\"Upload all to BEL Commons.\"\"\"" ]
[ { "param": "repository", "type": "BELRepository" }, { "param": "host", "type": "str" }, { "param": "user", "type": "str" }, { "param": "password", "type": "str" }, { "param": "sleep", "type": "int" }, { "param": "private", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "repository", "type": "BELRepository", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "host", "type": "str", "docstring": null, "do...
4566b103adc9c19ec7923696fc9cb0617bb8f244
rpatil524/pybel
src/pybel/io/jgif.py
[ "MIT" ]
Python
map_cbn
<not_specific>
def map_cbn(d): """Pre-processes the JSON from the CBN. - removes statements without evidence, or with placeholder evidence :param dict d: Raw JGIF from the CBN :return: Preprocessed JGIF :rtype: dict """ for i, edge in enumerate(d['graph']['edges']): if 'metadata' not in edge: ...
Pre-processes the JSON from the CBN. - removes statements without evidence, or with placeholder evidence :param dict d: Raw JGIF from the CBN :return: Preprocessed JGIF :rtype: dict
Pre-processes the JSON from the CBN. removes statements without evidence, or with placeholder evidence
[ "Pre", "-", "processes", "the", "JSON", "from", "the", "CBN", ".", "removes", "statements", "without", "evidence", "or", "with", "placeholder", "evidence" ]
def map_cbn(d): for i, edge in enumerate(d['graph']['edges']): if 'metadata' not in edge: continue if 'evidences' not in edge['metadata']: continue for j, evidence in enumerate(edge['metadata']['evidences']): if EXPERIMENT_CONTEXT not in evidence: ...
[ "def", "map_cbn", "(", "d", ")", ":", "for", "i", ",", "edge", "in", "enumerate", "(", "d", "[", "'graph'", "]", "[", "'edges'", "]", ")", ":", "if", "'metadata'", "not", "in", "edge", ":", "continue", "if", "'evidences'", "not", "in", "edge", "[",...
Pre-processes the JSON from the CBN.
[ "Pre", "-", "processes", "the", "JSON", "from", "the", "CBN", "." ]
[ "\"\"\"Pre-processes the JSON from the CBN.\n\n - removes statements without evidence, or with placeholder evidence\n\n :param dict d: Raw JGIF from the CBN\n :return: Preprocessed JGIF\n :rtype: dict\n \"\"\"", "# ctx = {k.strip().lower(): v.strip() for k, v in evidence[EXPERIMENT_CONTEXT].items()...
[ { "param": "d", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": "dict" } ], "raises": [], "params": [ { "identifier": "d", "type": null, "docstring": "Raw JGIF from the CBN", "docstring_tokens": [ "Raw", "JGIF", ...
4566b103adc9c19ec7923696fc9cb0617bb8f244
rpatil524/pybel
src/pybel/io/jgif.py
[ "MIT" ]
Python
from_cbn_jgif_file
BELGraph
def from_cbn_jgif_file(path: Union[str, TextIO]) -> BELGraph: """Build a graph from a file containing the CBN variant of JGIF. :param path: A path or file-like """ return from_cbn_jgif(json.load(path))
Build a graph from a file containing the CBN variant of JGIF. :param path: A path or file-like
Build a graph from a file containing the CBN variant of JGIF.
[ "Build", "a", "graph", "from", "a", "file", "containing", "the", "CBN", "variant", "of", "JGIF", "." ]
def from_cbn_jgif_file(path: Union[str, TextIO]) -> BELGraph: return from_cbn_jgif(json.load(path))
[ "def", "from_cbn_jgif_file", "(", "path", ":", "Union", "[", "str", ",", "TextIO", "]", ")", "->", "BELGraph", ":", "return", "from_cbn_jgif", "(", "json", ".", "load", "(", "path", ")", ")" ]
Build a graph from a file containing the CBN variant of JGIF.
[ "Build", "a", "graph", "from", "a", "file", "containing", "the", "CBN", "variant", "of", "JGIF", "." ]
[ "\"\"\"Build a graph from a file containing the CBN variant of JGIF.\n\n :param path: A path or file-like\n \"\"\"" ]
[ { "param": "path", "type": "Union[str, TextIO]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "path", "type": "Union[str, TextIO]", "docstring": "A path or file-like", "docstring_tokens": [ "A", "path", "or", "file", "-", "like" ], "default": null, "is_op...
4566b103adc9c19ec7923696fc9cb0617bb8f244
rpatil524/pybel
src/pybel/io/jgif.py
[ "MIT" ]
Python
from_cbn_jgif
<not_specific>
def from_cbn_jgif(graph_jgif_dict): """Build a BEL graph from CBN JGIF. Map the JGIF used by the Causal Biological Network Database to standard namespace and annotations, then builds a BEL graph using :func:`pybel.from_jgif`. :param dict graph_jgif_dict: The JSON object representing the graph in JGIF ...
Build a BEL graph from CBN JGIF. Map the JGIF used by the Causal Biological Network Database to standard namespace and annotations, then builds a BEL graph using :func:`pybel.from_jgif`. :param dict graph_jgif_dict: The JSON object representing the graph in JGIF format :rtype: BELGraph Example: ...
Build a BEL graph from CBN JGIF. Map the JGIF used by the Causal Biological Network Database to standard namespace and annotations, then builds a BEL graph using :func:`pybel.from_jgif`.
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def from_cbn_jgif(graph_jgif_dict): graph_jgif_dict = map_cbn(graph_jgif_dict) graph_jgif_dict['graph'][GRAPH_NAMESPACE_URL] = NAMESPACE_URLS graph_jgif_dict['graph'][GRAPH_ANNOTATION_URL] = ANNOTATION_URLS graph_jgif_dict['graph']['metadata'].update({ METADATA_AUTHORS: 'Causal Biological Networ...
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Build a BEL graph from CBN JGIF.
[ "Build", "a", "BEL", "graph", "from", "CBN", "JGIF", "." ]
[ "\"\"\"Build a BEL graph from CBN JGIF.\n\n Map the JGIF used by the Causal Biological Network Database to standard namespace and annotations, then\n builds a BEL graph using :func:`pybel.from_jgif`.\n\n :param dict graph_jgif_dict: The JSON object representing the graph in JGIF format\n :rtype: BELGrap...
[ { "param": "graph_jgif_dict", "type": null } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": "BELGraph\nExample:\n.. code-block:: python\n\n import requests\n from pybel import from_cbn_jgif\n apoptosis_url = 'http://causalbionet.com/Networks/GetJSONGraphFile?networkId=810385422'\n grap...
4566b103adc9c19ec7923696fc9cb0617bb8f244
rpatil524/pybel
src/pybel/io/jgif.py
[ "MIT" ]
Python
from_jgif
<not_specific>
def from_jgif(graph_jgif_dict, parser_kwargs: Optional[Mapping[str, Any]] = None): # noqa:C901 """Build a BEL graph from a JGIF JSON object. :param dict graph_jgif_dict: The JSON object representing the graph in JGIF format :rtype: BELGraph """ graph = BELGraph() root = graph_jgif_dict['graph...
Build a BEL graph from a JGIF JSON object. :param dict graph_jgif_dict: The JSON object representing the graph in JGIF format :rtype: BELGraph
Build a BEL graph from a JGIF JSON object.
[ "Build", "a", "BEL", "graph", "from", "a", "JGIF", "JSON", "object", "." ]
def from_jgif(graph_jgif_dict, parser_kwargs: Optional[Mapping[str, Any]] = None): graph = BELGraph() root = graph_jgif_dict['graph'] if 'label' in root: graph.name = root['label'] if 'metadata' in root: metadata = root['metadata'] for key in METADATA_INSERT_KEYS: i...
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Build a BEL graph from a JGIF JSON object.
[ "Build", "a", "BEL", "graph", "from", "a", "JGIF", "JSON", "object", "." ]
[ "# noqa:C901", "\"\"\"Build a BEL graph from a JGIF JSON object.\n\n :param dict graph_jgif_dict: The JSON object representing the graph in JGIF format\n :rtype: BELGraph\n \"\"\"", "# don't need legacy BEL format", "# FIXME?", "# is none or is empty list" ]
[ { "param": "graph_jgif_dict", "type": null }, { "param": "parser_kwargs", "type": "Optional[Mapping[str, Any]]" } ]
{ "returns": [ { "docstring": null, "docstring_tokens": [ "None" ], "type": "BELGraph" } ], "raises": [], "params": [ { "identifier": "graph_jgif_dict", "type": null, "docstring": "The JSON object representing the graph in JGIF format", "docstr...
4566b103adc9c19ec7923696fc9cb0617bb8f244
rpatil524/pybel
src/pybel/io/jgif.py
[ "MIT" ]
Python
from_jgif_file
BELGraph
def from_jgif_file(path: Union[str, TextIO]) -> BELGraph: """Build a graph from the JGIF JSON contained in the given file. :param path: A path or file-like """ return from_jgif(json.load(path))
Build a graph from the JGIF JSON contained in the given file. :param path: A path or file-like
Build a graph from the JGIF JSON contained in the given file.
[ "Build", "a", "graph", "from", "the", "JGIF", "JSON", "contained", "in", "the", "given", "file", "." ]
def from_jgif_file(path: Union[str, TextIO]) -> BELGraph: return from_jgif(json.load(path))
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Build a graph from the JGIF JSON contained in the given file.
[ "Build", "a", "graph", "from", "the", "JGIF", "JSON", "contained", "in", "the", "given", "file", "." ]
[ "\"\"\"Build a graph from the JGIF JSON contained in the given file.\n\n :param path: A path or file-like\n \"\"\"" ]
[ { "param": "path", "type": "Union[str, TextIO]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "path", "type": "Union[str, TextIO]", "docstring": "A path or file-like", "docstring_tokens": [ "A", "path", "or", "file", "-", "like" ], "default": null, "is_op...
4566b103adc9c19ec7923696fc9cb0617bb8f244
rpatil524/pybel
src/pybel/io/jgif.py
[ "MIT" ]
Python
to_jgif
<not_specific>
def to_jgif(graph): """Build a JGIF dictionary from a BEL graph. :param pybel.BELGraph graph: A BEL graph :return: A JGIF dictionary :rtype: dict .. warning:: Untested! This format is not general purpose and is therefore time is not heavily invested. If you want to use Cytoscape.j...
Build a JGIF dictionary from a BEL graph. :param pybel.BELGraph graph: A BEL graph :return: A JGIF dictionary :rtype: dict .. warning:: Untested! This format is not general purpose and is therefore time is not heavily invested. If you want to use Cytoscape.js, we suggest using :func:`...
Build a JGIF dictionary from a BEL graph.
[ "Build", "a", "JGIF", "dictionary", "from", "a", "BEL", "graph", "." ]
def to_jgif(graph): u_v_r_bel = {} nodes_entry = [] edges_entry = [] for node in sorted(graph, key=methodcaller('as_bel')): nodes_entry.append({ 'id': node.md5, 'label': node.as_bel(), 'bel_function_type': node.function, }) for u, v in graph.edges(...
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Build a JGIF dictionary from a BEL graph.
[ "Build", "a", "JGIF", "dictionary", "from", "a", "BEL", "graph", "." ]
[ "\"\"\"Build a JGIF dictionary from a BEL graph.\n\n :param pybel.BELGraph graph: A BEL graph\n :return: A JGIF dictionary\n :rtype: dict\n\n .. warning::\n\n Untested! This format is not general purpose and is therefore time is not heavily invested. If you want to\n use Cytoscape.js, we s...
[ { "param": "graph", "type": null } ]
{ "returns": [ { "docstring": "A JGIF dictionary", "docstring_tokens": [ "A", "JGIF", "dictionary" ], "type": "dict\n.. warning::\n\n Untested! This format is not general purpose and is therefore time is not heavily invested. If you want to\n use Cytoscape.js,...
4566b103adc9c19ec7923696fc9cb0617bb8f244
rpatil524/pybel
src/pybel/io/jgif.py
[ "MIT" ]
Python
to_jgif_file
None
def to_jgif_file(graph: BELGraph, file: Union[str, TextIO], **kwargs) -> None: """Write JGIF to a file. :param graph: A BEL graph :param file: A writable file or file-like The example below shows how to output a BEL graph as JGIF to an open file. .. code-block:: python from pybel.examples...
Write JGIF to a file. :param graph: A BEL graph :param file: A writable file or file-like The example below shows how to output a BEL graph as JGIF to an open file. .. code-block:: python from pybel.examples import sialic_acid_graph from pybel import to_jgif_file with open('grap...
Write JGIF to a file.
[ "Write", "JGIF", "to", "a", "file", "." ]
def to_jgif_file(graph: BELGraph, file: Union[str, TextIO], **kwargs) -> None: json.dump(to_jgif(graph), file, ensure_ascii=False, **kwargs)
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Write JGIF to a file.
[ "Write", "JGIF", "to", "a", "file", "." ]
[ "\"\"\"Write JGIF to a file.\n\n :param graph: A BEL graph\n :param file: A writable file or file-like\n\n The example below shows how to output a BEL graph as JGIF to an open file.\n\n .. code-block:: python\n\n from pybel.examples import sialic_acid_graph\n from pybel import to_jgif_file\n...
[ { "param": "graph", "type": "BELGraph" }, { "param": "file", "type": "Union[str, TextIO]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "graph", "type": "BELGraph", "docstring": "A BEL graph", "docstring_tokens": [ "A", "BEL", "graph" ], "default": null, "is_optional": null }, { "identifier": "file", ...