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9
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def getGeomTableConstraints(self, layerFilter = None): inClause = """'{text}'""".format( text='","'.join(layerFilter) ) if layerFilter \ else """select f_table_name from public.geometry_columns where f_table_schema <> 'views'""" sql = """select distinct case when split_part(conrelid::regclass::text,'.',2) = '' then split_part(conrelid::regclass::text,'.',1) else split_part(conrelid::regclass::text,'.',2) end as cl, pg_get_constraintdef(oid) FROM pg_constraint WHERE contype = 'c' and case when split_part(conrelid::regclass::text,'.',2) = '' then split_part(conrelid::regclass::text,'.',1) else split_part(conrelid::regclass::text,'.',2) end in ({in_clause}) order by cl """.format(in_clause=inClause) return sql
9,602
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9
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def getMultiColumns(self, schemaList): sql = """select row_to_json(a) from ( select t.table_name, array_agg(t.column_name::text) as attributes from (select table_name, column_name from information_schema.columns where data_type = 'ARRAY' and table_schema in ({0}) ) as t group by t.table_name ) as a """.format("'"+"','".join(schemaList)+"'") return sql
9,603
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9
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def getMultiColumnsFromTableList(self, tableList): sql = """select row_to_json(a) from ( select t.table_name, array_agg(t.column_name::text) as attributes from (select table_name, column_name from information_schema.columns where data_type = 'ARRAY' and table_name in ({0}) ) as t group by t.table_name ) as a """.format("'"+"','".join(tableList)+"'") return sql
9,604
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9
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def getNotNullDict(self, layerFilter=None): tableNameClause = """'{text}'""".format( text='","'.join(layerFilter) ) if layerFilter \ else """select distinct f_table_name from public.geometry_columns """ sql = """select row_to_json(row(table_name, table_schema, array_agg(column_name::text))) from information_schema.columns where table_name in ({table_name_clause}) and is_nullable = 'NO' and data_type = 'smallint' group by table_name, table_schema """.format(table_name_clause=tableNameClause) return sql
9,605
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9
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def getGeomColumnTupleList(self, showViews = False, filterList = None): filterLayersClause = 'AND f_table_name in ({table_name_list})'.format( table_name_list=','.join(filterList) ) if filterList else """ """ showViewsClause = """ AND table_type = 'BASE TABLE'""" if not showViews else """ """ sql = """select f_table_schema, f_table_name, f_geometry_column, type, table_type from (select distinct f_table_schema, f_table_name, f_geometry_column, type, f_table_schema || '.' || f_table_name as jc from public.geometry_columns as gc) as inn left join (select table_schema || '.' || table_name as jc, table_type from information_schema.tables) as infs on inn.jc = infs.jc where inn.type <> 'GEOMETRY' {where_layer_filter} {where_show_views}""".format( where_layer_filter=filterLayersClause, where_show_views=showViewsClause ) return sql
9,606
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8
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"test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "tableName"}}, "comparators": [{"_type": "Name", "_fields": {"id": "paramKeys", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tableName"}}, "value": {"_type": "Name", "_fields": {"id": "paramDict", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "mi"}}, "targets": [{"_type": "Name", "_fields": {"id": "miAttr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "miAttr"}}, "comparators": [{"_type": "Name", "_fields": {"id": "paramKeys", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "miAttr"}}, "value": {"_type": "Name", "_fields": {"id": "paramDict", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "miAttr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "inom"}}, "targets": [{"_type": "Name", "_fields": {"id": "inomAttr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "inomAttr"}}, "comparators": [{"_type": "Name", "_fields": {"id": "paramKeys", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "inomAttr"}}, "value": {"_type": "Name", "_fields": {"id": "paramDict", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "inomAttr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "geom"}}, "targets": [{"_type": "Name", "_fields": {"id": "geometryColumn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "geom"}}, "comparators": [{"_type": "Name", "_fields": {"id": "paramKeys", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "geom"}}, "value": {"_type": "Name", "_fields": {"id": "paramDict", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "geometryColumn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "MULTIPOLYGON"}}, "targets": [{"_type": "Name", "_fields": {"id": "geomType", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "geomType"}}, "comparators": [{"_type": "Name", "_fields": {"id": "paramKeys", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "geomType"}}, "value": {"_type": "Name", "_fields": {"id": "paramDict", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "geomType", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mi", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "inom", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "frame", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "geoSrid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "srid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tableSchema", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "miAttr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "inomAttr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "geometryColumn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "INSERT INTO \"{5}\".\"{6}\" ({7},{8},{9}) VALUES ('{0}','{1}',ST_Transform(ST_Multi(ST_GeomFromWKB({2},{3})), {4}))"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "geomType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "MULTIPOLYGON"}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mi", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "inom", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "frame", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "geoSrid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "srid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tableSchema", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "miAttr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "inomAttr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "geometryColumn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "INSERT INTO \"{5}\".\"{6}\" ({7},{8},{9}) VALUES ('{0}','{1}',ST_Transform((ST_SetSRID( (ST_Dump('{2}')).geom,{3})), {4}))"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "insertFrame", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def insertFrame(self,scale,mi,inom,frame,srid,geoSrid, paramDict = dict()): paramKeys = list(paramDict.keys()) if 'tableSchema' not in paramKeys: tableSchema = 'public' else: tableSchema = paramDict['tableSchema'] if 'tableName' not in paramKeys: tableName = 'aux_moldura_a' else: tableName = paramDict['tableName'] if 'miAttr' not in paramKeys: miAttr = 'mi' else: miAttr = paramDict['miAttr'] if 'inomAttr' not in paramKeys: inomAttr = 'inom' else: inomAttr = paramDict['inomAttr'] if 'geom' not in paramKeys: geometryColumn = 'geom' else: geometryColumn = paramDict['geom'] if 'geomType' not in paramKeys: geomType = 'MULTIPOLYGON' else: geomType = paramDict['geomType'] if geomType == 'MULTIPOLYGON': sql = """INSERT INTO "{5}"."{6}" ({7},{8},{9}) VALUES ('{0}','{1}',ST_Transform(ST_Multi(ST_GeomFromWKB({2},{3})), {4}))""".format(mi, inom, frame, geoSrid, srid, tableSchema, tableName, miAttr, inomAttr, geometryColumn) else: sql = """INSERT INTO "{5}"."{6}" ({7},{8},{9}) VALUES ('{0}','{1}',ST_Transform((ST_SetSRID( (ST_Dump('{2}')).geom,{3})), {4}))""".format(mi, inom, frame, geoSrid, srid, tableSchema, tableName, miAttr, inomAttr, geometryColumn) return sql
9,607
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11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "layerFilter", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "select row_to_json(a) from (\n\t select table_schema, table_name, column_name as attr_name, is_nullable::boolean as nullable, data_type as column_type, gc.f_geometry_column as geometry_column, gc.type as geometry_type\n\t\t\t\t\t from information_schema.columns as c \n\t\t\t\t\tleft join public.geometry_columns as gc \n\t\t\t\t\t\ton c.table_name = gc.f_table_name and c.table_schema = gc.f_table_schema ) as a\n\t where a.table_name in ({filter})\n "}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "filter", "value": {"_type": "IfExp", "_fields": {"body": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "'{text}'"}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "layerFilter", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "\",\""}}}}, "keywords": []}}}}]}}, "test": {"_type": "Name", "_fields": {"id": "layerFilter", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": "select f_table_name from public.geometry_columns where f_table_schema <> 'views'"}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "getTableMetadataDict", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def getTableMetadataDict(self, layerFilter=None): sql = """select row_to_json(a) from ( select table_schema, table_name, column_name as attr_name, is_nullable::boolean as nullable, data_type as column_type, gc.f_geometry_column as geometry_column, gc.type as geometry_type from information_schema.columns as c left join public.geometry_columns as gc on c.table_name = gc.f_table_name and c.table_schema = gc.f_table_schema ) as a where a.table_name in ({filter}) """.format( filter= """'{text}'""".format( text='","'.join(layerFilter) ) if layerFilter \ else """select f_table_name from public.geometry_columns where f_table_schema <> 'views'""" ) return sql
9,608
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10
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def alterSearchPath(self, dbName, version): if version == '2.1.3': sql = 'ALTER DATABASE "{0}" SET search_path = "$user", public, topology,\'cb\',\'complexos\',\'dominios\';'.format(dbName) elif version == '2.1.3 Pro': sql = 'ALTER DATABASE "{0}" SET search_path = "$user", public, topology,\'edgv\',\'dominios\';'.format(dbName) elif version == '3.0': sql = 'ALTER DATABASE "{0}" SET search_path = "$user", public, topology,\'edgv\',\'complexos\',\'dominios\';'.format(dbName) elif version == 'FTer_2a_Ed': sql = 'ALTER DATABASE "{0}" SET search_path = "$user", public, topology,\'pe\',\'ge\',\'complexos\',\'dominios\';'.format(dbName) return sql
9,609
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15
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"settingType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "EarthCoverage"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "style"}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "settingType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "Style"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "field_toolbox_config"}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "settingType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "FieldToolBoxConfig"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "validation_config"}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "settingType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "ValidationConfig"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "attribute_rules"}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "settingType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "AttributeRules"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "spatial_rules"}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "settingType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "SpatialRules"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "validation_workflow"}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "settingType", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "ValidationWorkflow"}}]}}, "orelse": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Setting type not defined!"}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}]}}]}}]}}]}}]}}]}}]}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "getSettingTable", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def getSettingTable(self, settingType): if settingType == 'Permission': tableName = 'permission_profile' elif settingType == 'Customization': tableName = 'customization' elif settingType == 'EarthCoverage': tableName = 'earth_coverage' elif settingType == 'Style': tableName = 'style' elif settingType == 'FieldToolBoxConfig': tableName = 'field_toolbox_config' elif settingType == 'ValidationConfig': tableName = 'validation_config' elif settingType == 'AttributeRules': tableName = 'attribute_rules' elif settingType == 'SpatialRules': tableName = 'spatial_rules' elif settingType == 'ValidationWorkflow': tableName = 'validation_workflow' else: raise Exception('Setting type not defined!') return tableName
9,610
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8
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def getGeometricTableListFromSchema(self, schema): if isinstance(schema, list): sql = '''select distinct f_table_schema, f_table_name from public.geometry_columns where f_table_schema in ('{0}') and f_table_name in ( select distinct table_name from information_schema.tables where table_type <> 'VIEW' ) order by f_table_name asc;'''.format("','".join(schema)) else: sql = '''select distinct f_table_schema, f_table_name from public.geometry_columns where f_table_schema = '{0}' and f_table_name in ( select distinct table_name from information_schema.tables where table_type <> 'VIEW' ) order by f_table_name asc;'''.format(schema) return sql
9,611
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8
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"_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Name", "_fields": {"id": "primitiveClause", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}, "targets": [{"_type": "Name", "_fields": {"id": "viewClause", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dbPrimitiveList", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "','"}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "and type in ('{0}')"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "primitiveClause", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "dbPrimitiveList", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "and f_table_name in (select table_name from information_schema.tables where table_type <> 'VIEW')"}}, "targets": [{"_type": "Name", "_fields": {"id": "viewClause", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "excludeViews", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "f_table_schema, f_table_name"}}, "targets": [{"_type": "Name", "_fields": {"id": "selectClause", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": ",f_geometry_column"}}, "target": {"_type": "Name", "_fields": {"id": "selectClause", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Name", "_fields": {"id": "geomColumn", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "selectClause", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "schemaList", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "','"}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "primitiveClause", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "viewClause", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "select distinct {0} from public.geometry_columns where f_table_schema in ('{1}') {2} {3} order by f_table_name"}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "getGeomTables", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def getGeomTables(self, schemaList, dbPrimitiveList=[], excludeViews=True, geomColumn = False): primitiveClause = '' viewClause = '' if dbPrimitiveList != []: primitiveClause = """and type in ('{0}')""".format("','".join(dbPrimitiveList)) if excludeViews: viewClause = """and f_table_name in (select table_name from information_schema.tables where table_type <> 'VIEW')""" selectClause = 'f_table_schema, f_table_name' if geomColumn: selectClause += ',f_geometry_column' sql = """select distinct {0} from public.geometry_columns where f_table_schema in ('{1}') {2} {3} order by f_table_name""".format(selectClause, "','".join(schemaList), primitiveClause, viewClause) return sql
9,612
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7
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "settingType", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "isAdminDb", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "settingType", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getSettingTable", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "CREATE EXTENSION IF NOT EXISTS \"uuid-ossp\" WITH SCHEMA public;\n CREATE TABLE IF NOT EXISTS public.{0}(\n id uuid NOT NULL DEFAULT uuid_generate_v4(),\n name text,\n jsondict text NOT NULL,\n edgvversion text,\n CONSTRAINT {0}_pk PRIMARY KEY (id),\n CONSTRAINT {0}_unique_name_and_version UNIQUE (name,edgvversion)\n );\n "}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tableName", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "CREATE TABLE public.applied_{0}(\n id uuid NOT NULL DEFAULT uuid_generate_v4(),\n id_{0} uuid NOT NULL,\n dboid oid NOT NULL,\n CONSTRAINT applied_{0}_pk PRIMARY KEY (id),\n CONSTRAINT applied_{0}_id_{0}_config_fk FOREIGN KEY (id_{0}) REFERENCES public.{0} (id) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE\n );\n ALTER TABLE public.applied_{0} OWNER TO postgres;\n "}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Name", "_fields": {"id": "isAdminDb", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "createPropertyTable", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def createPropertyTable(self, settingType, isAdminDb = False): tableName = self.getSettingTable(settingType) sql = '''CREATE EXTENSION IF NOT EXISTS "uuid-ossp" WITH SCHEMA public; CREATE TABLE IF NOT EXISTS public.{0}( id uuid NOT NULL DEFAULT uuid_generate_v4(), name text, jsondict text NOT NULL, edgvversion text, CONSTRAINT {0}_pk PRIMARY KEY (id), CONSTRAINT {0}_unique_name_and_version UNIQUE (name,edgvversion) ); '''.format(tableName) if isAdminDb: sql += '''CREATE TABLE public.applied_{0}( id uuid NOT NULL DEFAULT uuid_generate_v4(), id_{0} uuid NOT NULL, dboid oid NOT NULL, CONSTRAINT applied_{0}_pk PRIMARY KEY (id), CONSTRAINT applied_{0}_id_{0}_config_fk FOREIGN KEY (id_{0}) REFERENCES public.{0} (id) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE CASCADE ); ALTER TABLE public.applied_{0} OWNER TO postgres; '''.format(tableName) return sql
9,613
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def getPropertyPerspectiveDict(self, settingType, perspective, versionFilter = None): if versionFilter: versionFilter = ''' where edgvversion = '{0}' '''.format(versionFilter) else: versionFilter = '' tableName = self.getSettingTable(settingType) if perspective == DsgEnums.Property: sql = '''select row_to_json(a) from ( select name, array_agg(datname) from public.{0} as custom left join applied_{0} as appcust on custom.id = appcust.id_{0} left join pg_database as pgd on pgd.oid = appcust.dboid {1} group by name ) as a'''.format(tableName, versionFilter) if perspective == DsgEnums.Database: sql = '''select row_to_json(a) from ( select datname as name, array_agg(name) from public.{0} as custom right join applied_{0} as appcust on custom.id = appcust.id_{0} left join pg_database as pgd on pgd.oid = appcust.dboid {1} group by datname ) as a'''.format(tableName, versionFilter) return sql
9,614
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def getAttributesFromTable(self, tableSchema, tableName, typeFilter = None): whereClause = """""" if not typeFilter \ else """ and data_type in ('{0}') """.format( "','".join(typeFilter) ) sql = """select column_name, data_type from information_schema.columns where table_schema = '{0}' and table_name = '{1}' {2} order by column_name """.format(tableSchema, tableName, whereClause) return sql
9,615
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12
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def getPrimaryKeyColumn(self, tableName): if '.' in tableName: tableSchema, tableName = tableName.replace("'","").replace('"','').split('.') tableName = '''"{0}"."{1}"'''.format(tableSchema, tableName) sql = ''' SELECT a.attname, format_type(a.atttypid, a.atttypmod) AS data_type FROM pg_index i JOIN pg_attribute a ON a.attrelid = i.indrelid AND a.attnum = ANY(i.indkey) WHERE i.indrelid = '{}'::regclass AND i.indisprimary; '''.format(tableName) return sql
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def dropView(self, viewName): if '"' in viewName: sql = """DROP VIEW {0} """.format(viewName) elif '.' in viewName: schema, name = viewName.split('.') sql = """DROP VIEW "{0}"."{1}" """.format(schema, name) else: sql = """DROP VIEW "{0}" """.format(viewName) return sql
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{}}}}}}]}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "code", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "InvalidRequestError", "value": {"_type": "Name", "_fields": {"id": "errors", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "description", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 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null, "value": "redirect_uri"}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Client authentication failed, %r."}}, {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "debug", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "InvalidClientError", "value": {"_type": "Name", "_fields": {"id": "errors", "ctx": {"_type": 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{"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "orelse": []}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Authenticate client must set the request.client.client_id attribute in authenticate_client."}}], "func": {"_type": "Name", "_fields": {"id": "NotImplementedError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "client_id"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "validate_grant_type", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Client, %r (%r), is not allowed access to scopes %r."}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_id", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "scopes", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "debug", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "InvalidGrantError", "value": {"_type": "Name", "_fields": {"id": "errors", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "request", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_id", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "code", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "validate_code", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request_validator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "request.%s was not set on code validation."}}, {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "debug", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "getattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "iter": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "user"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "state"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "scopes"}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Redirect_uri (%r) invalid for client %r (%r)."}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "redirect_uri", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_id", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "debug", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AccessDeniedError", "value": {"_type": "Name", "_fields": {"id": "errors", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "request", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_id", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "code", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "redirect_uri", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "confirm_redirect_uri", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request_validator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "orelse": []}}], "name": "validate_token_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def validate_token_request(self, request): # REQUIRED. Value MUST be set to "authorization_code". if request.grant_type != 'authorization_code': raise errors.UnsupportedGrantTypeError(request=request) if request.code is None: raise errors.InvalidRequestError( description='Missing code parameter.', request=request) for param in ('client_id', 'grant_type', 'redirect_uri'): if param in request.duplicate_params: raise errors.InvalidRequestError(description='Duplicate %s parameter.' % param, request=request) if self.request_validator.client_authentication_required(request): # If the client type is confidential or the client was issued client # credentials (or assigned other authentication requirements), the # client MUST authenticate with the authorization server as described # in Section 3.2.1. # http://tools.ietf.org/html/rfc6749#section-3.2.1 if not self.request_validator.authenticate_client(request): log.debug('Client authentication failed, %r.', request) raise errors.InvalidClientError(request=request) elif not self.request_validator.authenticate_client_id(request.client_id, request): # REQUIRED, if the client is not authenticating with the # authorization server as described in Section 3.2.1. # http://tools.ietf.org/html/rfc6749#section-3.2.1 log.debug('Client authentication failed, %r.', request) raise errors.InvalidClientError(request=request) if not hasattr(request.client, 'client_id'): raise NotImplementedError('Authenticate client must set the ' 'request.client.client_id attribute ' 'in authenticate_client.') # Ensure client is authorized use of this grant type self.validate_grant_type(request) # REQUIRED. The authorization code received from the # authorization server. if not self.request_validator.validate_code(request.client_id, request.code, request.client, request): log.debug('Client, %r (%r), is not allowed access to scopes %r.', request.client_id, request.client, request.scopes) raise errors.InvalidGrantError(request=request) for attr in ('user', 'state', 'scopes'): if getattr(request, attr) is None: log.debug('request.%s was not set on code validation.', attr) # REQUIRED, if the "redirect_uri" parameter was included in the # authorization request as described in Section 4.1.1, and their # values MUST be identical. if not self.request_validator.confirm_redirect_uri(request.client_id, request.code, request.redirect_uri, request.client): log.debug('Redirect_uri (%r) invalid for client %r (%r).', request.redirect_uri, request.client_id, request.client) raise errors.AccessDeniedError(request=request)
9,618
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8
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "page_url", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "[uploadedto.py] test_video_exists(page_url='%s')"}}, "right": {"_type": "Name", "_fields": {"id": "page_url", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "uploaded.to"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "uploaded.net"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "replace", "value": {"_type": "Name", "_fields": {"id": "page_url", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "real_url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_header_from_response", "value": {"_type": "Name", "_fields": {"id": "scrapertools", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "url", "value": {"_type": "Name", "_fields": {"id": "real_url", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "header_to_get", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "location"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "location", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "location="}}, "right": {"_type": "Name", "_fields": {"id": "location", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "location", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": ""}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": "El archivo ya no está disponible<br/>en uploaded.to (ha sido borrado)"}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "uploaded.net/410"}}, "comparators": [{"_type": "Name", "_fields": {"id": "location", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": "El archivo no existe<br/>en uploaded.to (enlace no válido)"}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "uploaded.net/404"}}, "comparators": [{"_type": "Name", "_fields": {"id": "location", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}]}}}}]}}]}}]}}], "name": "test_video_exists", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_video_exists( page_url ): logger.info("[uploadedto.py] test_video_exists(page_url='%s')" % page_url) real_url = page_url.replace("uploaded.to","uploaded.net") # Vídeo borrado: uploaded.to/file/q4rkg1rw -> Redirige a otra página uploaded.to/410/q4rkg1rw # Video erróneo: uploaded.to/file/q4rkg1rx -> Redirige a otra página uploaded.to/404 location = scrapertools.get_header_from_response( url = real_url , header_to_get = "location") logger.info("location="+location) if location=="": return True,"" elif "uploaded.net/410" in location: return False,"El archivo ya no está disponible<br/>en uploaded.to (ha sido borrado)" elif "uploaded.net/404" in location: return False,"El archivo no existe<br/>en uploaded.to (enlace no válido)" else: return True,""
9,619
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7
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class project_type(models.Model): _name = 'project.stage' _description = 'Project Stage' _order = 'sequence' name = fields.Char('Stage Name', required=True, translate=True) description = fields.Text('Description') sequence = fields.Integer('Sequence') case_default = fields.Boolean( 'Default for New Projects', help="If you check this field, this stage will be proposed by default on each new project. It will not assign this stage to existing projects.") fold = fields.Boolean( 'Folded in Kanban View', help='This stage is folded in the kanban view when' 'there are no records in that stage to display.')
9,620
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8
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def load_template(self, template_name, template_dirs=None): source, display_name = self.load_template_source(template_name, template_dirs) origin = make_origin(display_name, self.load_template_source, template_name, template_dirs) try: template = get_template_from_string(source, origin, template_name) return template, None except TemplateDoesNotExist: # If compiling the template we found raises TemplateDoesNotExist, back off to # returning the source and display name for the template we were asked to load. # This allows for correct identification (later) of the actual template that does # not exist. return source, display_name
9,621
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9
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def find_videos(data): encontrados = set() devuelve = [] # http://uploaded.net/file/1haty8nt patronvideos = 'uploaded.net/file/([a-zA-Z0-9]+)' logger.info("[uploadedto.py] find_videos #"+patronvideos+"#") matches = re.compile(patronvideos,re.DOTALL).findall(data) for match in matches: titulo = "[uploaded.to]" url = "http://uploaded.net/file/"+match if url not in encontrados: logger.info(" url="+url) devuelve.append( [ titulo , url , 'uploadedto' ] ) encontrados.add(url) else: logger.info(" url duplicada="+url) # http://uploaded.to/file/1haty8nt patronvideos = 'uploaded.to/file/([a-zA-Z0-9]+)' logger.info("[uploadedto.py] find_videos #"+patronvideos+"#") matches = re.compile(patronvideos,re.DOTALL).findall(data) for match in matches: titulo = "[uploaded.to]" url = "http://uploaded.net/file/"+match if url not in encontrados: logger.info(" url="+url) devuelve.append( [ titulo , url , 'uploadedto' ] ) encontrados.add(url) else: logger.info(" url duplicada="+url) # http://ul.to/file/y2y6nzep patronvideos = 'ul.to/file/([a-zA-Z0-9]+)' logger.info("[uploadedto.py] find_videos #"+patronvideos+"#") matches = re.compile(patronvideos,re.DOTALL).findall(data) for match in matches: titulo = "[uploaded.to]" url = "http://uploaded.net/file/"+match if url not in encontrados: logger.info(" url="+url) devuelve.append( [ titulo , url , 'uploadedto' ] ) encontrados.add(url) else: logger.info(" url duplicada="+url) #http://ul.to/mjphp9hl patronvideos = '(ul.to/[a-zA-Z0-9]+)' logger.info("[uploadedto.py] find_videos #"+patronvideos+"#") matches = re.compile(patronvideos,re.DOTALL).findall(data) for match in matches: titulo = "[uploaded.to]" url = match.replace("ul.to/","http://uploaded.net/file/") if url!="http://uploaded.net/file/file" and url not in encontrados: logger.info(" url="+url) devuelve.append( [ titulo , url , 'uploadedto' ] ) encontrados.add(url) else: logger.info(" url duplicada="+url) return devuelve
9,622
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{"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "data", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FloatVector", "value": {"_type": "Name", "_fields": {"id": "robjects", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "sqrt"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "r", "value": {"_type": "Name", "_fields": {"id": "robjects", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "rsqrt", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "rsqrt", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "sqrt", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "DataManagement", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class DataManagement: def round(self, data): #returns the rounded values of the data sample data=robjects.FloatVector(data) ##The given list changes into float vector in order to be handled by RPy2 rround = robjects.r['round'] #Call the round function-R function return list(rround(data)) def ceiling(self, data): #returns the smallest integers bigger than the values of the data sample data=robjects.FloatVector(data) ceiling = robjects.r['ceiling'] #Call the ceiling function-R function return list(ceiling(data)) def floor(self, data): #returns the largest integers smaller than the values of the data sample data=robjects.FloatVector(data) floor = robjects.r['floor'] #Call the floor function-R function return list(floor(data)) def abs(self,data): #returns a list with the absolute values of the data sample data=robjects.FloatVector(data) rabs = robjects.r['abs'] #Call the abs function-R function return list(rabs(data)) def sqrt(self,data): #returns the square root of the values in the data sample data=robjects.FloatVector(data) rsqrt = robjects.r['sqrt'] #Call the sqrt function-R function return list(rsqrt(data))
9,623
[ 0.040525857359170914, -0.0007129451259970665, -0.005424181465059519, -0.036835938692092896, -0.000768293917644769, -0.006283405236899853, 0.02340463176369667, -0.05920739099383354, 0.001223603612743318, -0.010695494711399078, 0.015033785253763199, -0.021781066432595253, 0.061105065047740936,...
10
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"target": {"_type": "Name", "_fields": {"id": "loader", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "TemplateDoesNotExist", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": "find_template", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def find_template(name, dirs=None): # Calculate template_source_loaders the first time the function is executed # because putting this logic in the module-level namespace may cause # circular import errors. See Django ticket #1292. global template_source_loaders if template_source_loaders is None: loaders = [] for loader_name in settings.TEMPLATE_LOADERS: loader = find_template_loader(loader_name) if loader is not None: loaders.append(loader) template_source_loaders = tuple(loaders) for loader in template_source_loaders: try: source, display_name = loader(name, dirs) return (source, make_origin(display_name, loader, name, dirs)) except TemplateDoesNotExist: pass raise TemplateDoesNotExist(name)
9,624
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12
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null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "extract_image_patches gradient err: %.4e"}}, "right": {"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.0001}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertLess", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", 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null}}], "type_comment": null}}], "name": "testGradient", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testGradient(self): # Set graph seed for determinism. random_seed = 42 random_seed_lib.set_random_seed(random_seed) with self.test_session(): for test_case in self._TEST_CASES: np.random.seed(random_seed) in_shape = test_case['in_shape'] in_val = constant_op.constant( np.random.random(in_shape), dtype=dtypes.float32) for padding in ['VALID', 'SAME']: out_val = array_ops.extract_image_patches(in_val, test_case['ksizes'], test_case['strides'], test_case['rates'], padding) out_shape = out_val.get_shape().as_list() err = gradient_checker.compute_gradient_error(in_val, in_shape, out_val, out_shape) print('extract_image_patches gradient err: %.4e' % err) self.assertLess(err, 1e-4)
9,625
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10
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"add_EmulatedBluetoothServiceServicer_to_server", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def add_EmulatedBluetoothServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'registerClassicPhy': grpc.stream_stream_rpc_method_handler( servicer.registerClassicPhy, request_deserializer=emulated__bluetooth__pb2.RawData.FromString, response_serializer=emulated__bluetooth__pb2.RawData.SerializeToString, ), 'registerBlePhy': grpc.stream_stream_rpc_method_handler( servicer.registerBlePhy, request_deserializer=emulated__bluetooth__pb2.RawData.FromString, response_serializer=emulated__bluetooth__pb2.RawData.SerializeToString, ), 'registerHCIDevice': grpc.stream_stream_rpc_method_handler( servicer.registerHCIDevice, request_deserializer=emulated__bluetooth__packets__pb2.HCIPacket.FromString, response_serializer=emulated__bluetooth__packets__pb2.HCIPacket.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'android.emulation.bluetooth.EmulatedBluetoothService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,))
9,626
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def testEmptyTensor(self): empty_image = np.zeros((0, 4, 3, 0)) offsets = np.zeros((0, 2)) with self.test_session(): result = image_ops.extract_glimpse(empty_image, [1, 1], offsets) self.assertAllEqual( np.zeros( (0, 1, 1, 0), dtype=np.float32), result.eval())
9,627
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"ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "flashVars = (?P<flashvars>{.+?});"}}, {"_type": "Name", "_fields": {"id": "webpage", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search", "value": {"_type": "Name", "_fields": {"id": "re", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mobj", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "flashvars"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "group", "value": {"_type": "Name", "_fields": {"id": "mobj", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "flashvars", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "url"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ext"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "format_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "quality"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "?noProxy=1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "replace", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "hashlink"}}, "value": {"_type": "Name", "_fields": {"id": "flashvars", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "flv"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "flv-low"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "url"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ext"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "format_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "quality"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "?noProxy=1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "replace", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "hd"}}, "value": {"_type": "Name", "_fields": {"id": "flashvars", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "flv"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "flv-high"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extend", "value": {"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "urlWallpaper"}}, "value": {"_type": "Name", "_fields": {"id": "flashvars", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "thumbnail", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "mobj", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "webpage", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_og_search_thumbnail", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "thumbnail", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_sort_formats", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "thumbnail"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "view_count"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "formats"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "age_limit"}}], "values": [{"_type": "Name", "_fields": {"id": "video_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "description", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "thumbnail", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "view_count", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 18}}]}}}}], "name": "_real_extract", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "PornHdIE", "bases": [{"_type": "Name", "_fields": {"id": "InfoExtractor", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class PornHdIE(InfoExtractor): _VALID_URL = r'http://(?:www\.)?pornhd\.com/(?:[a-z]{2,4}/)?videos/(?P<id>\d+)' _TEST = { 'url': 'http://www.pornhd.com/videos/1962/sierra-day-gets-his-cum-all-over-herself-hd-porn-video', 'md5': '956b8ca569f7f4d8ec563e2c41598441', 'info_dict': { 'id': '1962', 'ext': 'mp4', 'title': 'Sierra loves doing laundry', 'description': 'md5:8ff0523848ac2b8f9b065ba781ccf294', 'age_limit': 18, } } def _real_extract(self, url): mobj = re.match(self._VALID_URL, url) video_id = mobj.group('id') webpage = self._download_webpage(url, video_id) title = self._og_search_title(webpage) TITLE_SUFFIX = ' porn HD Video | PornHD.com ' if title.endswith(TITLE_SUFFIX): title = title[:-len(TITLE_SUFFIX)] description = self._html_search_regex( r'<div class="description">([^<]+)</div>', webpage, 'description', fatal=False) view_count = int_or_none(self._html_search_regex( r'(\d+) views </span>', webpage, 'view count', fatal=False)) formats = [ { 'url': format_url, 'ext': format.lower(), 'format_id': '%s-%s' % (format.lower(), quality.lower()), 'quality': 1 if quality.lower() == 'high' else 0, } for format, quality, format_url in re.findall( r'var __video([\da-zA-Z]+?)(Low|High)StreamUrl = \'(http://.+?)\?noProxy=1\'', webpage) ] mobj = re.search(r'flashVars = (?P<flashvars>{.+?});', webpage) if mobj: flashvars = json.loads(mobj.group('flashvars')) formats.extend([ { 'url': flashvars['hashlink'].replace('?noProxy=1', ''), 'ext': 'flv', 'format_id': 'flv-low', 'quality': 0, }, { 'url': flashvars['hd'].replace('?noProxy=1', ''), 'ext': 'flv', 'format_id': 'flv-high', 'quality': 1, } ]) thumbnail = flashvars['urlWallpaper'] else: thumbnail = self._og_search_thumbnail(webpage) self._sort_formats(formats) return { 'id': video_id, 'title': title, 'description': description, 'thumbnail': thumbnail, 'view_count': view_count, 'formats': formats, 'age_limit': 18, }
9,628
[ 0.040436431765556335, 0.026735931634902954, 0.09115932881832123, -0.015352100133895874, -0.023211045190691948, 0.03090372122824192, 0.02177005261182785, 0.02058400586247444, -0.060920678079128265, 0.0036468165926635265, -0.008235819637775421, -0.014409912750124931, 0.021393178030848503, 0....
12
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "wagtailcore"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "0023_alter_page_revision_on_delete_behaviour"}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "dependencies", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CreateModel", "value": {"_type": "Name", "_fields": {"id": "migrations", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Collection"}}}}, {"_type": "keyword", "_fields": {"arg": "fields", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AutoField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "auto_created", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "verbose_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "ID"}}}}, {"_type": "keyword", "_fields": {"arg": "primary_key", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "serialize", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "path"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CharField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "max_length", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 255}}}}, {"_type": "keyword", "_fields": {"arg": "unique", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "depth"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PositiveIntegerField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "numchild"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PositiveIntegerField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}]}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CharField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "max_length", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 255}}}}, {"_type": "keyword", "_fields": {"arg": "verbose_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "name"}}}}]}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "options", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "verbose_name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "verbose_name_plural"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "collection"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "collections"}}]}}}}, {"_type": "keyword", "_fields": {"arg": "bases", "value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Model", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "operations", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "Migration", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Migration", "value": {"_type": "Name", "_fields": {"id": "migrations", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Migration(migrations.Migration): dependencies = [ ('wagtailcore', '0023_alter_page_revision_on_delete_behaviour'), ] operations = [ migrations.CreateModel( name='Collection', fields=[ ('id', models.AutoField(auto_created=True, verbose_name='ID', primary_key=True, serialize=False)), ('path', models.CharField(max_length=255, unique=True)), ('depth', models.PositiveIntegerField()), ('numchild', models.PositiveIntegerField(default=0)), ('name', models.CharField(max_length=255, verbose_name='name')), ], options={ 'verbose_name': 'collection', 'verbose_name_plural': 'collections', }, bases=(models.Model,), ), ]
9,629
[ 0.007883155718445778, 0.006821016781032085, -0.05122823268175125, -0.051817625761032104, 0.00514185568317771, -0.019474586471915245, 0.0050190649926662445, -0.009307526051998138, 0.02949429862201214, 0.025687789544463158, 0.05756422504782677, -0.045825447887182236, 0.001268580206669867, -0...
12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "url", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_VALID_URL", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "match", "value": {"_type": "Name", "_fields": {"id": "re", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mobj", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "group", "value": {"_type": "Name", "_fields": {"id": "mobj", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "video_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "video_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_download_webpage", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "webpage", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "webpage", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_og_search_title", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": " porn HD Video | PornHD.com "}}, "targets": [{"_type": "Name", "_fields": {"id": "TITLE_SUFFIX", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TITLE_SUFFIX", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}}}, "value": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TITLE_SUFFIX", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", 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{"_type": "Load", "_fields": {}}, "attr": "_og_search_thumbnail", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "thumbnail", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_sort_formats", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "thumbnail"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "view_count"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "formats"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "age_limit"}}], "values": [{"_type": "Name", "_fields": {"id": "video_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "description", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "thumbnail", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "view_count", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "formats", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 18}}]}}}}], "name": "_real_extract", "returns": null, "type_params": [], "type_comment": null, 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def _real_extract(self, url): mobj = re.match(self._VALID_URL, url) video_id = mobj.group('id') webpage = self._download_webpage(url, video_id) title = self._og_search_title(webpage) TITLE_SUFFIX = ' porn HD Video | PornHD.com ' if title.endswith(TITLE_SUFFIX): title = title[:-len(TITLE_SUFFIX)] description = self._html_search_regex( r'<div class="description">([^<]+)</div>', webpage, 'description', fatal=False) view_count = int_or_none(self._html_search_regex( r'(\d+) views </span>', webpage, 'view count', fatal=False)) formats = [ { 'url': format_url, 'ext': format.lower(), 'format_id': '%s-%s' % (format.lower(), quality.lower()), 'quality': 1 if quality.lower() == 'high' else 0, } for format, quality, format_url in re.findall( r'var __video([\da-zA-Z]+?)(Low|High)StreamUrl = \'(http://.+?)\?noProxy=1\'', webpage) ] mobj = re.search(r'flashVars = (?P<flashvars>{.+?});', webpage) if mobj: flashvars = json.loads(mobj.group('flashvars')) formats.extend([ { 'url': flashvars['hashlink'].replace('?noProxy=1', ''), 'ext': 'flv', 'format_id': 'flv-low', 'quality': 0, }, { 'url': flashvars['hd'].replace('?noProxy=1', ''), 'ext': 'flv', 'format_id': 'flv-high', 'quality': 1, } ]) thumbnail = flashvars['urlWallpaper'] else: thumbnail = self._og_search_thumbnail(webpage) self._sort_formats(formats) return { 'id': video_id, 'title': title, 'description': description, 'thumbnail': thumbnail, 'view_count': view_count, 'formats': formats, 'age_limit': 18, }
9,630
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9
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"handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "pos", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_thread_local", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "response"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handle_401", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "register_hook", "value": {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "response"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handle_redirect", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "register_hook", "value": {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": 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def __call__(self, r): # Initialize per-thread state, if needed self.init_per_thread_state() # If we have a saved nonce, skip the 401 if self._thread_local.last_nonce: r.headers['Authorization'] = self.build_digest_header(r.method, r.url) try: self._thread_local.pos = r.body.tell() except AttributeError: # In the case of HTTPDigestAuth being reused and the body of # the previous request was a file-like object, pos has the # file position of the previous body. Ensure it's set to # None. self._thread_local.pos = None r.register_hook('response', self.handle_401) r.register_hook('response', self.handle_redirect) self._thread_local.num_401_calls = 1 return r
9,631
[ 0.03271079808473587, 0.005993204656988382, 0.025558291003108025, -0.013625525869429111, 0.01476992666721344, 0.03917189687490463, -0.013649367727339268, 0.007957164198160172, -0.01554478146135807, 0.017523642629384995, 0.004693832714110613, -0.03519033268094063, -0.009328060783445835, 0.01...
12
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{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s:%s:%s:%s:%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "nonce", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ncvalue", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cnonce", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "auth"}}, {"_type": "Name", "_fields": {"id": "HA2", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "noncebit", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "HA1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "noncebit", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "KD", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "respdig", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "qop", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "auth"}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "auth"}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ","}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Name", "_fields": {"id": "qop", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}]}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}]}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "nonce", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "last_nonce", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_thread_local", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "username=\"%s\", realm=\"%s\", nonce=\"%s\", uri=\"%s\", response=\"%s\""}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "username", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "realm", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "nonce", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "respdig", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": ", opaque=\"%s\""}}, "right": {"_type": "Name", "_fields": {"id": "opaque", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Name", "_fields": {"id": "opaque", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": ", algorithm=\"%s\""}}, "right": {"_type": "Name", "_fields": {"id": "algorithm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Name", "_fields": {"id": "algorithm", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": ", digest=\"%s\""}}, "right": {"_type": "Name", "_fields": {"id": "entdig", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Name", "_fields": {"id": "entdig", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": ", qop=\"auth\", nc=%s, cnonce=\"%s\""}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ncvalue", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cnonce", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Name", "_fields": {"id": "qop", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Digest %s"}}, "right": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "build_digest_header", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def build_digest_header(self, method, url): realm = self._thread_local.chal['realm'] nonce = self._thread_local.chal['nonce'] qop = self._thread_local.chal.get('qop') algorithm = self._thread_local.chal.get('algorithm') opaque = self._thread_local.chal.get('opaque') hash_utf8 = None if algorithm is None: _algorithm = 'MD5' else: _algorithm = algorithm.upper() # lambdas assume digest modules are imported at the top level if _algorithm == 'MD5' or _algorithm == 'MD5-SESS': def md5_utf8(x): if isinstance(x, str): x = x.encode('utf-8') return hashlib.md5(x).hexdigest() hash_utf8 = md5_utf8 elif _algorithm == 'SHA': def sha_utf8(x): if isinstance(x, str): x = x.encode('utf-8') return hashlib.sha1(x).hexdigest() hash_utf8 = sha_utf8 KD = lambda s, d: hash_utf8("%s:%s" % (s, d)) if hash_utf8 is None: return None # XXX not implemented yet entdig = None p_parsed = urlparse(url) #: path is request-uri defined in RFC 2616 which should not be empty path = p_parsed.path or "/" if p_parsed.query: path += '?' + p_parsed.query A1 = '%s:%s:%s' % (self.username, realm, self.password) A2 = '%s:%s' % (method, path) HA1 = hash_utf8(A1) HA2 = hash_utf8(A2) if nonce == self._thread_local.last_nonce: self._thread_local.nonce_count += 1 else: self._thread_local.nonce_count = 1 ncvalue = '%08x' % self._thread_local.nonce_count s = str(self._thread_local.nonce_count).encode('utf-8') s += nonce.encode('utf-8') s += time.ctime().encode('utf-8') s += os.urandom(8) cnonce = (hashlib.sha1(s).hexdigest()[:16]) if _algorithm == 'MD5-SESS': HA1 = hash_utf8('%s:%s:%s' % (HA1, nonce, cnonce)) if not qop: respdig = KD(HA1, "%s:%s" % (nonce, HA2)) elif qop == 'auth' or 'auth' in qop.split(','): noncebit = "%s:%s:%s:%s:%s" % ( nonce, ncvalue, cnonce, 'auth', HA2 ) respdig = KD(HA1, noncebit) else: # XXX handle auth-int. return None self._thread_local.last_nonce = nonce # XXX should the partial digests be encoded too? base = 'username="%s", realm="%s", nonce="%s", uri="%s", ' \ 'response="%s"' % (self.username, realm, nonce, path, respdig) if opaque: base += ', opaque="%s"' % opaque if algorithm: base += ', algorithm="%s"' % algorithm if entdig: base += ', digest="%s"' % entdig if qop: base += ', qop="auth", nc=%s, cnonce="%s"' % (ncvalue, cnonce) return 'Digest %s' % (base)
9,632
[ 0.05124052241444588, -0.012016789056360722, 0.008160916157066822, -0.03460368514060974, 0.007968414574861526, 0.002065021079033613, 0.0299836378544569, -0.017651846632361412, 0.05450722202658653, 0.02333356998860836, 0.0108442772179842, -0.03658703714609146, 0.0237185750156641, 0.015528491...
10
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[{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_dtype", "value": {"_type": "Name", "_fields": {"id": "dtypes", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "shape", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "placeholder", "value": {"_type": "Name", "_fields": {"id": "array_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}}}]}}, "targets": 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"ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "pb", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pa", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pb", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "op", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": 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{"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "equality_test", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "equality_test", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "equality_test", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rtol", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.001}}}}]}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "_testBinary", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _testBinary(self, op, a, b, expected, equality_test=None): with self.test_session() as session: with self.test_scope(): pa = array_ops.placeholder(dtypes.as_dtype(a.dtype), a.shape, name="a") pb = array_ops.placeholder(dtypes.as_dtype(b.dtype), b.shape, name="b") output = op(pa, pb) result = session.run(output, {pa: a, pb: b}) if equality_test is None: equality_test = self.assertAllClose equality_test(result, expected, rtol=1e-3)
9,633
[ 0.007089032791554928, -0.0012215698370710015, 0.051357779651880264, -0.04934670403599739, 0.03607362508773804, -0.0014698116574436426, 0.012443514540791512, -0.019633101299405098, 0.04874338209629059, 0.04374083876609802, -0.007535239215940237, 0.01886637881398201, -0.007560377940535545, 0...
13
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def testFloatOps(self): for dtype in self.float_types: self._testBinary( gen_math_ops._real_div, np.array([3, 3, -1.5, -8, 44], dtype=dtype), np.array([2, -2, 7, -4, 0], dtype=dtype), expected=np.array( [1.5, -1.5, -0.2142857, 2, float("inf")], dtype=dtype)) self._testBinary(math_ops.pow, dtype(3), dtype(4), expected=dtype(81)) self._testBinary( math_ops.pow, np.array([1, 2], dtype=dtype), np.zeros(shape=[0, 2], dtype=dtype), expected=np.zeros(shape=[0, 2], dtype=dtype)) self._testBinary( math_ops.pow, np.array([10, 4], dtype=dtype), np.array([2, 3], dtype=dtype), expected=np.array([100, 64], dtype=dtype)) self._testBinary( math_ops.pow, dtype(2), np.array([3, 4], dtype=dtype), expected=np.array([8, 16], dtype=dtype)) self._testBinary( math_ops.pow, np.array([[2], [3]], dtype=dtype), dtype(4), expected=np.array([[16], [81]], dtype=dtype)) self._testBinary( gen_math_ops._sigmoid_grad, np.array([4, 3, 2, 1], dtype=dtype), np.array([5, 6, 7, 8], dtype=dtype), expected=np.array([-60, -36, -14, 0], dtype=dtype)) self._testBinary( gen_math_ops._rsqrt_grad, np.array([4, 3, 2, 1], dtype=dtype), np.array([5, 6, 7, 8], dtype=dtype), expected=np.array([-160, -81, -28, -4], dtype=dtype)) self._testBinary( gen_nn_ops._softplus_grad, np.array([4, 3, 2, 1], dtype=dtype), np.array([5, 6, 7, 8], dtype=dtype), expected=np.array( [3.97322869, 2.99258232, 1.99817801, 0.99966466], dtype=dtype)) self._testBinary( gen_math_ops._tanh_grad, np.array([4, 3, 2, 1], dtype=dtype), np.array([5, 6, 7, 8], dtype=dtype), expected=np.array([-75, -48, -21, 0], dtype=dtype)) self._testBinary( gen_nn_ops._elu_grad, np.array([1, 2, 3, 4, 5, 6], dtype=dtype), np.array([-.6, -.4, -.2, 0, .2, .4], dtype=dtype), expected=np.array([0.4, 1.2, 2.4, 4, 5, 6], dtype=dtype)) self._testBinary( gen_nn_ops._relu_grad, np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=dtype), np.array([0, 0, 0, 0, 0, 0.1, 0.3, 0.5, 0.7, 0.9], dtype=dtype), expected=np.array([0, 0, 0, 0, 0, 6, 7, 8, 9, 10], dtype=dtype)) self._testBinary( gen_nn_ops._relu6_grad, np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=dtype), np.array( [0, 0, 0, 0, 0, 0.1, 0.3, 0.5, 0.7, 0.9, 6.1, 10.0], dtype=dtype), expected=np.array([0, 0, 0, 0, 0, 6, 7, 8, 9, 10, 0, 0], dtype=dtype)) self._testBinary( gen_nn_ops._softmax_cross_entropy_with_logits, np.array([[1, 2, 3, 4], [5, 6, 7, 8]], dtype=dtype), np.array([[0.1, 0.2, 0.3, 0.4], [0.4, 0.3, 0.2, 0.1]], dtype=dtype), expected=[ np.array([1.44019, 2.44019], dtype=dtype), np.array([[-0.067941, -0.112856, -0.063117, 0.243914], [-0.367941, -0.212856, 0.036883, 0.543914]], dtype=dtype), ], equality_test=self.ListsAreClose) self._testBinary( gen_nn_ops._sparse_softmax_cross_entropy_with_logits, np.array([[0.1, 0.2, 0.3, 0.4], [0.5, 0.6, 0.7, 0.8], [0.9, 1.0, 1.1, 1.2]], dtype=dtype), np.array([2, 1, 7], dtype=np.int32), expected=[ np.array([1.342536, 1.442536, np.nan], dtype=dtype), np.array([[0.213838, 0.236328, -0.738817, 0.288651], [0.213838, -0.763672, 0.261183, 0.288651], [np.nan, np.nan, np.nan, np.nan]], dtype=dtype), ], equality_test=self.ListsAreClose)
9,634
[ 0.00600362429395318, 0.006441134959459305, 0.02561870403587818, -0.038525279611349106, 0.027247216552495956, 0.036605093628168106, 0.02080608159303665, -0.004065207205712795, 0.024415548890829086, 0.021097755059599876, 0.00813041441142559, 0.021510960534214973, 0.006641661282628775, 0.0008...
12
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"_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 7}}], "func": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 70}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", 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{}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 81}}, {"_type": "Constant", "_fields": {"kind": null, "value": 324}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "squared_difference", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 5}}], "func": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 16}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "squared_difference", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 7}}], "func": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 36}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 25}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bias_add", "value": {"_type": "Name", "_fields": {"id": "nn_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bias_add", "value": {"_type": "Name", "_fields": {"id": "nn_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}]}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testNumericOps", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testNumericOps(self): for dtype in self.numeric_types: self._testBinary( math_ops.add, np.array([1, 2], dtype=dtype), np.array([10, 20], dtype=dtype), expected=np.array([11, 22], dtype=dtype)) self._testBinary( math_ops.add, dtype(5), np.array([1, 2], dtype=dtype), expected=np.array([6, 7], dtype=dtype)) self._testBinary( math_ops.add, np.array([[1], [2]], dtype=dtype), dtype(7), expected=np.array([[8], [9]], dtype=dtype)) self._testBinary( math_ops.subtract, np.array([1, 2], dtype=dtype), np.array([10, 20], dtype=dtype), expected=np.array([-9, -18], dtype=dtype)) self._testBinary( math_ops.subtract, dtype(5), np.array([1, 2], dtype=dtype), expected=np.array([4, 3], dtype=dtype)) self._testBinary( math_ops.subtract, np.array([[1], [2]], dtype=dtype), dtype(7), expected=np.array([[-6], [-5]], dtype=dtype)) self._testBinary( math_ops.maximum, np.array([1, 2], dtype=dtype), np.array([10, 20], dtype=dtype), expected=np.array([10, 20], dtype=dtype)) self._testBinary( math_ops.maximum, dtype(5), np.array([1, 20], dtype=dtype), expected=np.array([5, 20], dtype=dtype)) self._testBinary( math_ops.maximum, np.array([[10], [2]], dtype=dtype), dtype(7), expected=np.array([[10], [7]], dtype=dtype)) self._testBinary( math_ops.minimum, np.array([1, 20], dtype=dtype), np.array([10, 2], dtype=dtype), expected=np.array([1, 2], dtype=dtype)) self._testBinary( math_ops.minimum, dtype(5), np.array([1, 20], dtype=dtype), expected=np.array([1, 5], dtype=dtype)) self._testBinary( math_ops.minimum, np.array([[10], [2]], dtype=dtype), dtype(7), expected=np.array([[7], [2]], dtype=dtype)) self._testBinary( math_ops.multiply, np.array([1, 20], dtype=dtype), np.array([10, 2], dtype=dtype), expected=np.array([10, 40], dtype=dtype)) self._testBinary( math_ops.multiply, dtype(5), np.array([1, 20], dtype=dtype), expected=np.array([5, 100], dtype=dtype)) self._testBinary( math_ops.multiply, np.array([[10], [2]], dtype=dtype), dtype(7), expected=np.array([[70], [14]], dtype=dtype)) self._testBinary( math_ops.squared_difference, np.array([1, 2], dtype=dtype), np.array([10, 20], dtype=dtype), expected=np.array([81, 324], dtype=dtype)) self._testBinary( math_ops.squared_difference, dtype(5), np.array([1, 2], dtype=dtype), expected=np.array([16, 9], dtype=dtype)) self._testBinary( math_ops.squared_difference, np.array([[1], [2]], dtype=dtype), dtype(7), expected=np.array([[36], [25]], dtype=dtype)) self._testBinary( nn_ops.bias_add, np.array([[1, 2], [3, 4]], dtype=dtype), np.array([2, -1], dtype=dtype), expected=np.array([[3, 1], [5, 3]], dtype=dtype)) self._testBinary( nn_ops.bias_add, np.array([[[[1, 2], [3, 4]]]], dtype=dtype), np.array([2, -1], dtype=dtype), expected=np.array([[[[3, 1], [5, 3]]]], dtype=dtype))
9,635
[ 0.006176161579787731, 0.03633171692490578, 0.009520383551716805, -0.017981667071580887, 0.018718432635068893, 0.03407537564635277, 0.02171153947710991, -0.006786295212805271, 0.030345503240823746, 0.048580434173345566, -0.003047788981348276, 0.002594505902379751, -0.008184997364878654, 0.0...
10
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"_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "logical_or", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bool", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bool", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bool", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}]}}}}], "name": "testLogicalOps", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testLogicalOps(self): self._testBinary( math_ops.logical_and, np.array([[True, False], [False, True]], dtype=np.bool), np.array([[False, True], [False, True]], dtype=np.bool), expected=np.array([[False, False], [False, True]], dtype=np.bool)) self._testBinary( math_ops.logical_or, np.array([[True, False], [False, True]], dtype=np.bool), np.array([[False, True], [False, True]], dtype=np.bool), expected=np.array([[True, True], [False, True]], dtype=np.bool))
9,636
[ 0.033160049468278885, 0.004336683079600334, 0.009458041749894619, -0.02781706489622593, 0.00982342567294836, -0.003815562231466174, 0.025996137410402298, 0.010092970915138721, 0.010554192587733269, 0.06617634743452072, 0.01819729618728161, 0.004839833825826645, 0.0013814192498102784, 0.004...
10
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"_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 42}}}}], "func": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 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"attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 7}}], "func": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fill", "value": {"_type": "Name", "_fields": {"id": "array_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}], "func": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}, {"_type": "Constant", "_fields": {"kind": null, "value": 50}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}, {"_type": "Constant", "_fields": {"kind": null, "value": 50}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}, {"_type": "Constant", "_fields": {"kind": null, "value": 50}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testFill", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testFill(self): for dtype in self.numeric_types: self._testBinary( array_ops.fill, np.array([], dtype=np.int32), dtype(-42), expected=dtype(-42)) self._testBinary( array_ops.fill, np.array([1, 2], dtype=np.int32), dtype(7), expected=np.array([[7, 7]], dtype=dtype)) self._testBinary( array_ops.fill, np.array([3, 2], dtype=np.int32), dtype(50), expected=np.array([[50, 50], [50, 50], [50, 50]], dtype=dtype))
9,637
[ -0.008880448527634144, 0.0058279866352677345, 0.007329600863158703, -0.017367031425237656, 0.04037126898765564, 0.04211904853582382, 0.03298627957701683, -0.02323809638619423, 0.046623893082141876, 0.04517151042819023, 0.002555513521656394, 0.001483151805587113, -0.026856740936636925, 0.02...
11
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def testComparisons(self): self._testBinary( math_ops.equal, np.array([1, 5, 20], dtype=np.float32), np.array([10, 5, 2], dtype=np.float32), expected=np.array([False, True, False], dtype=np.bool)) self._testBinary( math_ops.equal, np.float32(5), np.array([1, 5, 20], dtype=np.float32), expected=np.array([False, True, False], dtype=np.bool)) self._testBinary( math_ops.equal, np.array([[10], [7], [2]], dtype=np.float32), np.float32(7), expected=np.array([[False], [True], [False]], dtype=np.bool)) self._testBinary( math_ops.not_equal, np.array([1, 5, 20], dtype=np.float32), np.array([10, 5, 2], dtype=np.float32), expected=np.array([True, False, True], dtype=np.bool)) self._testBinary( math_ops.not_equal, np.float32(5), np.array([1, 5, 20], dtype=np.float32), expected=np.array([True, False, True], dtype=np.bool)) self._testBinary( math_ops.not_equal, np.array([[10], [7], [2]], dtype=np.float32), np.float32(7), expected=np.array([[True], [False], [True]], dtype=np.bool)) for greater_op in [math_ops.greater, (lambda x, y: x > y)]: self._testBinary( greater_op, np.array([1, 5, 20], dtype=np.float32), np.array([10, 5, 2], dtype=np.float32), expected=np.array([False, False, True], dtype=np.bool)) self._testBinary( greater_op, np.float32(5), np.array([1, 5, 20], dtype=np.float32), expected=np.array([True, False, False], dtype=np.bool)) self._testBinary( greater_op, np.array([[10], [7], [2]], dtype=np.float32), np.float32(7), expected=np.array([[True], [False], [False]], dtype=np.bool)) for greater_equal_op in [math_ops.greater_equal, (lambda x, y: x >= y)]: self._testBinary( greater_equal_op, np.array([1, 5, 20], dtype=np.float32), np.array([10, 5, 2], dtype=np.float32), expected=np.array([False, True, True], dtype=np.bool)) self._testBinary( greater_equal_op, np.float32(5), np.array([1, 5, 20], dtype=np.float32), expected=np.array([True, True, False], dtype=np.bool)) self._testBinary( greater_equal_op, np.array([[10], [7], [2]], dtype=np.float32), np.float32(7), expected=np.array([[True], [True], [False]], dtype=np.bool)) for less_op in [math_ops.less, (lambda x, y: x < y)]: self._testBinary( less_op, np.array([1, 5, 20], dtype=np.float32), np.array([10, 5, 2], dtype=np.float32), expected=np.array([True, False, False], dtype=np.bool)) self._testBinary( less_op, np.float32(5), np.array([1, 5, 20], dtype=np.float32), expected=np.array([False, False, True], dtype=np.bool)) self._testBinary( less_op, np.array([[10], [7], [2]], dtype=np.float32), np.float32(7), expected=np.array([[False], [False], [True]], dtype=np.bool)) for less_equal_op in [math_ops.less_equal, (lambda x, y: x <= y)]: self._testBinary( less_equal_op, np.array([1, 5, 20], dtype=np.float32), np.array([10, 5, 2], dtype=np.float32), expected=np.array([True, True, False], dtype=np.bool)) self._testBinary( less_equal_op, np.float32(5), np.array([1, 5, 20], dtype=np.float32), expected=np.array([False, True, True], dtype=np.bool)) self._testBinary( less_equal_op, np.array([[10], [7], [2]], dtype=np.float32), np.float32(7), expected=np.array([[False], [True], [True]], dtype=np.bool))
9,638
[ 0.014220706187188625, 0.02754657343029976, 0.04130776599049568, -0.020412035286426544, 0.017122890800237656, -0.016675472259521484, 0.020823176950216293, -0.011862681247293949, 0.046555884182453156, 0.053980641067028046, 0.021451983600854874, -0.00540229631587863, 0.0016989874420687556, 0....
11
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def _testMatMul(self, op): for dtype in self.float_types: self._testBinary( op, np.array([[-0.25]], dtype=dtype), np.array([[8]], dtype=dtype), expected=np.array([[-2]], dtype=dtype)) self._testBinary( op, np.array([[100, 10, 0.5]], dtype=dtype), np.array([[1, 3], [2, 5], [6, 8]], dtype=dtype), expected=np.array([[123, 354]], dtype=dtype)) self._testBinary( op, np.array([[1, 3], [2, 5], [6, 8]], dtype=dtype), np.array([[100], [10]], dtype=dtype), expected=np.array([[130], [250], [680]], dtype=dtype)) self._testBinary( op, np.array([[1000, 100], [10, 1]], dtype=dtype), np.array([[1, 2], [3, 4]], dtype=dtype), expected=np.array([[1300, 2400], [13, 24]], dtype=dtype)) self._testBinary( op, np.array([], dtype=dtype).reshape((2, 0)), np.array([], dtype=dtype).reshape((0, 3)), expected=np.array([[0, 0, 0], [0, 0, 0]], dtype=dtype))
9,639
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def DISABLED_testSparseMatMul(self): # Binary wrappers for sparse_matmul with different hints def SparseMatmulWrapperTF(a, b): return tf.sparse_matmul(a, b, a_is_sparse=True) def SparseMatmulWrapperFT(a, b): return tf.sparse_matmul(a, b, b_is_sparse=True) def SparseMatmulWrapperTT(a, b): return tf.sparse_matmul(a, b, a_is_sparse=True, b_is_sparse=True) self._testMatMul(tf.sparse_matmul) self._testMatMul(SparseMatmulWrapperTF) self._testMatMul(SparseMatmulWrapperFT) self._testMatMul(SparseMatmulWrapperTT)
9,640
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"keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": 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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testExpandDims", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testExpandDims(self): for dtype in self.numeric_types: self._testBinary( array_ops.expand_dims, dtype(7), np.int32(0), expected=np.array([7], dtype=dtype)) self._testBinary( array_ops.expand_dims, np.array([42], dtype=dtype), np.int32(0), expected=np.array([[42]], dtype=dtype)) self._testBinary( array_ops.expand_dims, np.array([], dtype=dtype), np.int32(0), expected=np.array([[]], dtype=dtype)) self._testBinary( array_ops.expand_dims, np.array([[[1, 2], [3, 4]]], dtype=dtype), np.int32(0), expected=np.array([[[[1, 2], [3, 4]]]], dtype=dtype)) self._testBinary( array_ops.expand_dims, np.array([[[1, 2], [3, 4]]], dtype=dtype), np.int32(1), expected=np.array([[[[1, 2], [3, 4]]]], dtype=dtype)) self._testBinary( array_ops.expand_dims, np.array([[[1, 2], [3, 4]]], dtype=dtype), np.int32(2), expected=np.array([[[[1, 2]], [[3, 4]]]], dtype=dtype)) self._testBinary( array_ops.expand_dims, np.array([[[1, 2], [3, 4]]], dtype=dtype), np.int32(3), expected=np.array([[[[1], [2]], [[3], [4]]]], dtype=dtype))
9,641
[ -0.025634076446294785, 0.0130842924118042, 0.045410845428705215, -0.00592412194237113, 0.022783372551202774, -0.0134406303986907, 0.04169156402349472, 0.010712415911257267, 0.008797098882496357, 0.022315677255392075, -0.02407509833574295, 0.0008316877065226436, 0.015344812534749508, 0.0175...
12
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def testBatchMatMul(self): # Same tests as for tf.matmul above. self._testMatMul(math_ops.matmul) # Tests with batches of matrices. self._testBinary( math_ops.matmul, np.array([[[-0.25]]], dtype=np.float32), np.array([[[8]]], dtype=np.float32), expected=np.array([[[-2]]], dtype=np.float32)) self._testBinary( math_ops.matmul, np.array([[[-0.25]], [[4]]], dtype=np.float32), np.array([[[8]], [[2]]], dtype=np.float32), expected=np.array([[[-2]], [[8]]], dtype=np.float32)) self._testBinary( math_ops.matmul, np.array( [[[[1000, 100], [10, 1]], [[2000, 200], [20, 2]]], [[[3000, 300], [30, 3]], [[4000, 400], [40, 4]]]], dtype=np.float32), np.array( [[[[1, 2], [3, 4]], [[5, 6], [7, 8]]], [[[11, 22], [33, 44]], [[55, 66], [77, 88]]]], dtype=np.float32), expected=np.array( [[[[1300, 2400], [13, 24]], [[11400, 13600], [114, 136]]], [[[42900, 79200], [429, 792]], [[250800, 299200], [2508, 2992]]]], dtype=np.float32)) self._testBinary( math_ops.matmul, np.array([], dtype=np.float32).reshape((2, 2, 0)), np.array([], dtype=np.float32).reshape((2, 0, 3)), expected=np.array( [[[0, 0, 0], [0, 0, 0]], [[0, 0, 0], [0, 0, 0]]], dtype=np.float32)) self._testBinary( math_ops.matmul, np.array([], dtype=np.float32).reshape((0, 2, 4)), np.array([], dtype=np.float32).reshape((0, 4, 3)), expected=np.array([], dtype=np.float32).reshape(0, 2, 3)) # Regression test for b/31472796. if hasattr(np, "matmul"): x = np.arange(0, 3 * 5 * 16 * 7, dtype=np.float32).reshape((3, 5, 16, 7)) self._testBinary( lambda x, y: math_ops.matmul(x, y, adjoint_b=True), x, x, expected=np.matmul(x, x.transpose([0, 1, 3, 2])))
9,642
[ 0.008394616656005383, -0.005186695605516434, 0.038482915610075, -0.008843786083161831, 0.034379687160253525, 0.010761862620711327, 0.01692277006804943, 0.010877189226448536, -0.019423553720116615, 0.06001877784729004, 0.017772551625967026, 0.011666271835565567, 0.029693756252527237, 0.0437...
10
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"_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testReshape", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testReshape(self): for dtype in self.numeric_types: self._testBinary( array_ops.reshape, np.array([], dtype=dtype), np.array([0, 4], dtype=np.int32), expected=np.zeros(shape=[0, 4], dtype=dtype)) self._testBinary( array_ops.reshape, np.array([0, 1, 2, 3, 4, 5], dtype=dtype), np.array([2, 3], dtype=np.int32), expected=np.array([[0, 1, 2], [3, 4, 5]], dtype=dtype)) self._testBinary( array_ops.reshape, np.array([0, 1, 2, 3, 4, 5], dtype=dtype), np.array([3, 2], dtype=np.int32), expected=np.array([[0, 1], [2, 3], [4, 5]], dtype=dtype)) self._testBinary( array_ops.reshape, np.array([0, 1, 2, 3, 4, 5], dtype=dtype), np.array([-1, 6], dtype=np.int32), expected=np.array([[0, 1, 2, 3, 4, 5]], dtype=dtype)) self._testBinary( array_ops.reshape, np.array([0, 1, 2, 3, 4, 5], dtype=dtype), np.array([6, -1], dtype=np.int32), expected=np.array([[0], [1], [2], [3], [4], [5]], dtype=dtype)) self._testBinary( array_ops.reshape, np.array([0, 1, 2, 3, 4, 5], dtype=dtype), np.array([2, -1], dtype=np.int32), expected=np.array([[0, 1, 2], [3, 4, 5]], dtype=dtype)) self._testBinary( array_ops.reshape, np.array([0, 1, 2, 3, 4, 5], dtype=dtype), np.array([-1, 3], dtype=np.int32), expected=np.array([[0, 1, 2], [3, 4, 5]], dtype=dtype))
9,643
[ 0.026698168367147446, -0.005374116823077202, 0.03714832663536072, -0.03806008771061897, 0.02529546245932579, -0.0027396599762141705, 0.015383007936179638, 0.011022930964827538, 0.030275069177150726, 0.032028451561927795, -0.010064414702355862, 0.038925088942050934, 0.02828790247440338, 0.0...
10
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"Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testPad", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testPad(self): for dtype in self.numeric_types: self._testBinary( array_ops.pad, np.array( [[1, 2, 3], [4, 5, 6]], dtype=dtype), np.array( [[1, 2], [2, 1]], dtype=np.int32), expected=np.array( [[0, 0, 0, 0, 0, 0], [0, 0, 1, 2, 3, 0], [0, 0, 4, 5, 6, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]], dtype=dtype))
9,644
[ 0.031895961612463, -0.004005063325166702, 0.026403304189443588, -0.05685383081436157, 0.01467117853462696, -0.011449060402810574, 0.015225262381136417, -0.0018369086319580674, -0.0013054097071290016, 0.05328841879963875, 0.014044823125004768, -0.008660572580993176, 0.00830523669719696, 0.0...
12
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"value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}]}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "equality_test", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ListsAreClose", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testSplit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testSplit(self): for dtype in self.numeric_types: self._testBinary( lambda x, y: array_ops.split(value=y, num_or_size_splits=3, axis=x), np.int32(0), np.array([[[1], [2]], [[3], [4]], [[5], [6]]], dtype=dtype), expected=[ np.array([[[1], [2]]], dtype=dtype), np.array([[[3], [4]]], dtype=dtype), np.array([[[5], [6]]], dtype=dtype), ], equality_test=self.ListsAreClose) self._testBinary( lambda x, y: array_ops.split(value=y, num_or_size_splits=2, axis=x), np.int32(1), np.array([[[1], [2]], [[3], [4]], [[5], [6]]], dtype=dtype), expected=[ np.array([[[1]], [[3]], [[5]]], dtype=dtype), np.array([[[2]], [[4]], [[6]]], dtype=dtype), ], equality_test=self.ListsAreClose)
9,645
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10
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"func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 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{"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testTile", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testTile(self): for dtype in self.numeric_types: self._testBinary( array_ops.tile, np.array([[6]], dtype=dtype), np.array([1, 2], dtype=np.int32), expected=np.array([[6, 6]], dtype=dtype)) self._testBinary( array_ops.tile, np.array([[1], [2]], dtype=dtype), np.array([1, 2], dtype=np.int32), expected=np.array([[1, 1], [2, 2]], dtype=dtype)) self._testBinary( array_ops.tile, np.array([[1, 2], [3, 4]], dtype=dtype), np.array([3, 2], dtype=np.int32), expected=np.array( [[1, 2, 1, 2], [3, 4, 3, 4], [1, 2, 1, 2], [3, 4, 3, 4], [1, 2, 1, 2], [3, 4, 3, 4]], dtype=dtype)) self._testBinary( array_ops.tile, np.array([[1, 2], [3, 4]], dtype=dtype), np.array([1, 1], dtype=np.int32), expected=np.array( [[1, 2], [3, 4]], dtype=dtype)) self._testBinary( array_ops.tile, np.array([[1, 2]], dtype=dtype), np.array([3, 1], dtype=np.int32), expected=np.array( [[1, 2], [1, 2], [1, 2]], dtype=dtype))
9,646
[ 0.03643811494112015, 0.048102691769599915, -0.03654754161834717, -0.044229090213775635, -0.03562837839126587, -0.020943710580468178, -0.032345667481422424, -0.0372040830552578, -0.005129239521920681, -0.018481675535440445, 0.024335846304893494, -0.020976537838578224, 0.030069652944803238, ...
9
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def cast(arg, val): if arg not in annotations: return cast = annotations[key] try: val = cast(val) except (ValueError, TypeError) as e: parts = list(e.args) parts[0] = parts[0] + " processing argument '{}'".format(arg) e.args = tuple(parts) raise return val
9,647
[ 0.021757526323199272, -0.02104286290705204, 0.02427586354315281, -0.02672613598406315, 0.027429455891251564, -0.0055840155109763145, 0.01476970687508583, -0.020645827054977417, -0.008326394483447075, 0.032761070877313614, 0.008984338492155075, 0.02879071980714798, 0.0299477931112051, 0.013...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transpose", "value": {"_type": "Name", "_fields": {"id": "array_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "zeros", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "shape", "value": {"_type": "List", "_fields": {"ctx": 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"func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transpose", "value": {"_type": "Name", "_fields": {"id": "array_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_testBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "numeric_types", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testTranspose", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def testTranspose(self): for dtype in self.numeric_types: self._testBinary( array_ops.transpose, np.zeros(shape=[1, 0, 4], dtype=dtype), np.array([1, 2, 0], dtype=np.int32), expected=np.zeros(shape=[0, 4, 1], dtype=dtype)) self._testBinary( array_ops.transpose, np.array([[1, 2], [3, 4]], dtype=dtype), np.array([0, 1], dtype=np.int32), expected=np.array([[1, 2], [3, 4]], dtype=dtype)) self._testBinary( array_ops.transpose, np.array([[1, 2], [3, 4]], dtype=dtype), np.array([1, 0], dtype=np.int32), expected=np.array([[1, 3], [2, 4]], dtype=dtype))
9,648
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13
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def _load_role_defaults(self, defaults_files): # process default variables default_vars = {} for filename in defaults_files: if os.path.exists(filename): new_default_vars = utils.parse_yaml_from_file(filename, vault_password=self.vault_password) if new_default_vars: if type(new_default_vars) != dict: raise errors.AnsibleError("%s must be stored as dictionary/hash: %s" % (filename, type(new_default_vars))) default_vars = utils.combine_vars(default_vars, new_default_vars) return default_vars
9,649
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def _build_role_dependencies(self, roles, dep_stack, passed_vars={}, level=0): # this number is arbitrary, but it seems sane if level > 20: raise errors.AnsibleError("too many levels of recursion while resolving role dependencies") for role in roles: role_path,role_vars = self._get_role_path(role) role_vars = utils.combine_vars(passed_vars, role_vars) vars = self._resolve_main(utils.path_dwim(self.basedir, os.path.join(role_path, 'vars'))) vars_data = {} if os.path.isfile(vars): vars_data = utils.parse_yaml_from_file(vars, vault_password=self.vault_password) if vars_data: if not isinstance(vars_data, dict): raise errors.AnsibleError("vars from '%s' are not a dict" % vars) role_vars = utils.combine_vars(vars_data, role_vars) defaults = self._resolve_main(utils.path_dwim(self.basedir, os.path.join(role_path, 'defaults'))) defaults_data = {} if os.path.isfile(defaults): defaults_data = utils.parse_yaml_from_file(defaults, vault_password=self.vault_password) # the meta directory contains the yaml that should # hold the list of dependencies (if any) meta = self._resolve_main(utils.path_dwim(self.basedir, os.path.join(role_path, 'meta'))) if os.path.isfile(meta): data = utils.parse_yaml_from_file(meta, vault_password=self.vault_password) if data: dependencies = data.get('dependencies',[]) if dependencies is None: dependencies = [] for dep in dependencies: allow_dupes = False (dep_path,dep_vars) = self._get_role_path(dep) meta = self._resolve_main(utils.path_dwim(self.basedir, os.path.join(dep_path, 'meta'))) if os.path.isfile(meta): meta_data = utils.parse_yaml_from_file(meta, vault_password=self.vault_password) if meta_data: allow_dupes = utils.boolean(meta_data.get('allow_duplicates','')) # if any tags were specified as role/dep variables, merge # them into the current dep_vars so they're passed on to any # further dependencies too, and so we only have one place # (dep_vars) to look for tags going forward def __merge_tags(var_obj): old_tags = dep_vars.get('tags', []) if isinstance(old_tags, basestring): old_tags = [old_tags, ] if isinstance(var_obj, dict): new_tags = var_obj.get('tags', []) if isinstance(new_tags, basestring): new_tags = [new_tags, ] else: new_tags = [] return list(set(old_tags).union(set(new_tags))) dep_vars['tags'] = __merge_tags(role_vars) dep_vars['tags'] = __merge_tags(passed_vars) # if tags are set from this role, merge them # into the tags list for the dependent role if "tags" in passed_vars: for included_role_dep in dep_stack: included_dep_name = included_role_dep[0] included_dep_vars = included_role_dep[2] if included_dep_name == dep: if "tags" in included_dep_vars: included_dep_vars["tags"] = list(set(included_dep_vars["tags"]).union(set(passed_vars["tags"]))) else: included_dep_vars["tags"] = passed_vars["tags"][:] dep_vars = utils.combine_vars(passed_vars, dep_vars) dep_vars = utils.combine_vars(role_vars, dep_vars) vars = self._resolve_main(utils.path_dwim(self.basedir, os.path.join(dep_path, 'vars'))) vars_data = {} if os.path.isfile(vars): vars_data = utils.parse_yaml_from_file(vars, vault_password=self.vault_password) if vars_data: dep_vars = utils.combine_vars(vars_data, dep_vars) defaults = self._resolve_main(utils.path_dwim(self.basedir, os.path.join(dep_path, 'defaults'))) dep_defaults_data = {} if os.path.isfile(defaults): dep_defaults_data = utils.parse_yaml_from_file(defaults, vault_password=self.vault_password) if 'role' in dep_vars: del dep_vars['role'] if not allow_dupes: if dep in self.included_roles: # skip back to the top, since we don't want to # do anything else with this role continue else: self.included_roles.append(dep) def _merge_conditional(cur_conditionals, new_conditionals): if isinstance(new_conditionals, (basestring, bool)): cur_conditionals.append(new_conditionals) elif isinstance(new_conditionals, list): cur_conditionals.extend(new_conditionals) # pass along conditionals from roles to dep roles passed_when = passed_vars.get('when') role_when = role_vars.get('when') dep_when = dep_vars.get('when') tmpcond = [] _merge_conditional(tmpcond, passed_when) _merge_conditional(tmpcond, role_when) _merge_conditional(tmpcond, dep_when) if len(tmpcond) > 0: dep_vars['when'] = tmpcond self._build_role_dependencies([dep], dep_stack, passed_vars=dep_vars, level=level+1) dep_stack.append([dep,dep_path,dep_vars,dep_defaults_data]) # only add the current role when we're at the top level, # otherwise we'll end up in a recursive loop if level == 0: self.included_roles.append(role) dep_stack.append([role,role_path,role_vars,defaults_data]) return dep_stack
9,650
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14
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"value": null}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_tasks", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "enumerate", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "val", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "_late_merge_role_tags", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _late_merge_role_tags(self): # build a local dict of tags for roles role_tags = {} for task in self._ds['tasks']: if 'role_name' in task: this_role = task['role_name'] + "-" + task['vars']['role_uuid'] if this_role not in role_tags: role_tags[this_role] = [] if 'tags' in task['vars']: if isinstance(task['vars']['tags'], basestring): role_tags[this_role] += shlex.split(task['vars']['tags']) else: role_tags[this_role] += task['vars']['tags'] # apply each role's tags to it's tasks for idx, val in enumerate(self._tasks): if getattr(val, 'role_name', None) is not None: this_role = val.role_name + "-" + val.module_vars['role_uuid'] if this_role in role_tags: self._tasks[idx].tags = sorted(set(self._tasks[idx].tags + role_tags[this_role]))
9,651
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11
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{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "handlers"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "ds", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "handlers", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "vars_files"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "ds", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "vars_files", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tasks", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tasks", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "handlers", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "handlers", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "vars_files", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vars_files", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "post_tasks", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "post_tasks", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tasks", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extend", "value": {"_type": "Name", "_fields": {"id": "new_tasks", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "meta", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "flush_handlers"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "new_tasks", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "post_tasks", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extend", "value": {"_type": "Name", "_fields": {"id": "new_tasks", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "meta", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "flush_handlers"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "new_tasks", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "handlers", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extend", "value": {"_type": "Name", "_fields": {"id": "new_handlers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vars_files", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extend", "value": {"_type": "Name", "_fields": {"id": "new_vars_files", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "new_tasks", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tasks"}}, "value": {"_type": "Name", "_fields": {"id": "ds", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "new_handlers", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "handlers"}}, "value": {"_type": "Name", "_fields": {"id": "ds", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "new_vars_files", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "vars_files"}}, "value": {"_type": "Name", "_fields": {"id": "ds", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "role_names", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "role_names"}}, "value": {"_type": "Name", "_fields": {"id": "ds", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "defaults_files", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_load_role_defaults", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "default_vars", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ds", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_load_roles", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _load_roles(self, roles, ds): # a role is a name that auto-includes the following if they exist # <rolename>/tasks/main.yml # <rolename>/handlers/main.yml # <rolename>/vars/main.yml # <rolename>/library # and it auto-extends tasks/handlers/vars_files/module paths as appropriate if found if roles is None: roles = [] if type(roles) != list: raise errors.AnsibleError("value of 'roles:' must be a list") new_tasks = [] new_handlers = [] new_vars_files = [] defaults_files = [] pre_tasks = ds.get('pre_tasks', None) if type(pre_tasks) != list: pre_tasks = [] for x in pre_tasks: new_tasks.append(x) # flush handlers after pre_tasks new_tasks.append(dict(meta='flush_handlers')) roles = self._build_role_dependencies(roles, [], self.vars) # give each role a uuid for idx, val in enumerate(roles): this_uuid = str(uuid.uuid4()) roles[idx][-2]['role_uuid'] = this_uuid role_names = [] for (role,role_path,role_vars,default_vars) in roles: # special vars must be extracted from the dict to the included tasks special_keys = [ "sudo", "sudo_user", "when", "with_items" ] special_vars = {} for k in special_keys: if k in role_vars: special_vars[k] = role_vars[k] task_basepath = utils.path_dwim(self.basedir, os.path.join(role_path, 'tasks')) handler_basepath = utils.path_dwim(self.basedir, os.path.join(role_path, 'handlers')) vars_basepath = utils.path_dwim(self.basedir, os.path.join(role_path, 'vars')) meta_basepath = utils.path_dwim(self.basedir, os.path.join(role_path, 'meta')) defaults_basepath = utils.path_dwim(self.basedir, os.path.join(role_path, 'defaults')) task = self._resolve_main(task_basepath) handler = self._resolve_main(handler_basepath) vars_file = self._resolve_main(vars_basepath) meta_file = self._resolve_main(meta_basepath) defaults_file = self._resolve_main(defaults_basepath) library = utils.path_dwim(self.basedir, os.path.join(role_path, 'library')) missing = lambda f: not os.path.isfile(f) if missing(task) and missing(handler) and missing(vars_file) and missing(defaults_file) and missing(meta_file) and missing(library): raise errors.AnsibleError("found role at %s, but cannot find %s or %s or %s or %s or %s or %s" % (role_path, task, handler, vars_file, defaults_file, meta_file, library)) if isinstance(role, dict): role_name = role['role'] else: role_name = role role_names.append(role_name) if os.path.isfile(task): nt = dict(include=pipes.quote(task), vars=role_vars, default_vars=default_vars, role_name=role_name) for k in special_keys: if k in special_vars: nt[k] = special_vars[k] new_tasks.append(nt) if os.path.isfile(handler): nt = dict(include=pipes.quote(handler), vars=role_vars, role_name=role_name) for k in special_keys: if k in special_vars: nt[k] = special_vars[k] new_handlers.append(nt) if os.path.isfile(vars_file): new_vars_files.append(vars_file) if os.path.isfile(defaults_file): defaults_files.append(defaults_file) if os.path.isdir(library): utils.plugins.module_finder.add_directory(library) tasks = ds.get('tasks', None) post_tasks = ds.get('post_tasks', None) handlers = ds.get('handlers', None) vars_files = ds.get('vars_files', None) if type(tasks) != list: tasks = [] if type(handlers) != list: handlers = [] if type(vars_files) != list: vars_files = [] if type(post_tasks) != list: post_tasks = [] new_tasks.extend(tasks) # flush handlers after tasks + role tasks new_tasks.append(dict(meta='flush_handlers')) new_tasks.extend(post_tasks) # flush handlers after post tasks new_tasks.append(dict(meta='flush_handlers')) new_handlers.extend(handlers) new_vars_files.extend(vars_files) ds['tasks'] = new_tasks ds['handlers'] = new_handlers ds['vars_files'] = new_vars_files ds['role_names'] = role_names self.default_vars = self._load_role_defaults(defaults_files) return ds
9,652
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "var_obj", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "tags"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "dep_vars", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "old_tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "old_tags", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "old_tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "old_tags", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "basestring", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "tags"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "var_obj", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "new_tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "new_tags", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "new_tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "new_tags", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "basestring", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "var_obj", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "new_tags", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "new_tags", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "union", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "old_tags", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "__merge_tags", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __merge_tags(var_obj): old_tags = dep_vars.get('tags', []) if isinstance(old_tags, basestring): old_tags = [old_tags, ] if isinstance(var_obj, dict): new_tags = var_obj.get('tags', []) if isinstance(new_tags, basestring): new_tags = [new_tags, ] else: new_tags = [] return list(set(old_tags).union(set(new_tags)))
9,653
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11
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def __truediv__(self, other): if isinstance(other, self.__class__): return self.standard / other.standard if isinstance(other, NUMERIC_TYPES): return self.__class__(default_unit=self._default_unit, **{self.STANDARD_UNIT: (self.standard / other)}) else: raise TypeError('%(class)s must be divided with number or %(class)s' % {"class": pretty_name(self)})
9,654
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12
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"_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}]}}], "name": "__mul__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __mul__(self, other): if isinstance(other, self.__class__): return Area(default_unit=AREA_PREFIX + self._default_unit, **{AREA_PREFIX + self.STANDARD_UNIT: (self.standard * other.standard)}) elif isinstance(other, NUMERIC_TYPES): return self.__class__(default_unit=self._default_unit, **{self.STANDARD_UNIT: (self.standard * other)}) else: raise TypeError('%(distance)s must be multiplied with number or %(distance)s' % { "distance": pretty_name(self.__class__), })
9,655
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13
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class Distance(MeasureBase): STANDARD_UNIT = "m" UNITS = { 'chain': 20.1168, 'chain_benoit': 20.116782, 'chain_sears': 20.1167645, 'british_chain_benoit': 20.1167824944, 'british_chain_sears': 20.1167651216, 'british_chain_sears_truncated': 20.116756, 'cm': 0.01, 'british_ft': 0.304799471539, 'british_yd': 0.914398414616, 'clarke_ft': 0.3047972654, 'clarke_link': 0.201166195164, 'fathom': 1.8288, 'ft': 0.3048, 'german_m': 1.0000135965, 'gold_coast_ft': 0.304799710181508, 'indian_yd': 0.914398530744, 'inch': 0.0254, 'km': 1000.0, 'link': 0.201168, 'link_benoit': 0.20116782, 'link_sears': 0.20116765, 'm': 1.0, 'mi': 1609.344, 'mm': 0.001, 'nm': 1852.0, 'nm_uk': 1853.184, 'rod': 5.0292, 'sears_yd': 0.91439841, 'survey_ft': 0.304800609601, 'um': 0.000001, 'yd': 0.9144, } # Unit aliases for `UNIT` terms encountered in Spatial Reference WKT. ALIAS = { 'centimeter': 'cm', 'foot': 'ft', 'inches': 'inch', 'kilometer': 'km', 'kilometre': 'km', 'meter': 'm', 'metre': 'm', 'micrometer': 'um', 'micrometre': 'um', 'millimeter': 'mm', 'millimetre': 'mm', 'mile': 'mi', 'yard': 'yd', 'British chain (Benoit 1895 B)': 'british_chain_benoit', 'British chain (Sears 1922)': 'british_chain_sears', 'British chain (Sears 1922 truncated)': 'british_chain_sears_truncated', 'British foot (Sears 1922)': 'british_ft', 'British foot': 'british_ft', 'British yard (Sears 1922)': 'british_yd', 'British yard': 'british_yd', "Clarke's Foot": 'clarke_ft', "Clarke's link": 'clarke_link', 'Chain (Benoit)': 'chain_benoit', 'Chain (Sears)': 'chain_sears', 'Foot (International)': 'ft', 'German legal metre': 'german_m', 'Gold Coast foot': 'gold_coast_ft', 'Indian yard': 'indian_yd', 'Link (Benoit)': 'link_benoit', 'Link (Sears)': 'link_sears', 'Nautical Mile': 'nm', 'Nautical Mile (UK)': 'nm_uk', 'US survey foot': 'survey_ft', 'U.S. Foot': 'survey_ft', 'Yard (Indian)': 'indian_yd', 'Yard (Sears)': 'sears_yd' } LALIAS = {k.lower(): v for k, v in ALIAS.items()} def __mul__(self, other): if isinstance(other, self.__class__): return Area(default_unit=AREA_PREFIX + self._default_unit, **{AREA_PREFIX + self.STANDARD_UNIT: (self.standard * other.standard)}) elif isinstance(other, NUMERIC_TYPES): return self.__class__(default_unit=self._default_unit, **{self.STANDARD_UNIT: (self.standard * other)}) else: raise TypeError('%(distance)s must be multiplied with number or %(distance)s' % { "distance": pretty_name(self.__class__), })
9,656
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13
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{"_type": "Name", "_fields": {"id": "chapter", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "Request", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "callback", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse_chapter", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "meta", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "cate"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "mid"}}], "values": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, "value": {"_type": "Name", "_fields": {"id": "cat", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Name", "_fields": {"id": "cat", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "chapter", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "chapters"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "cat", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "parse_comic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "response", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "utf-8"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "decode", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "ChapterItem", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "cate"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "meta", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "cate"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "mid"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "meta", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "mid"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "chapter_id"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "pid"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "chapter_order"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "order"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "page_url"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "origin_images"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "parse_chapter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "NewComicSpider", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Spider", "value": {"_type": "Name", "_fields": {"id": "scrapy", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class NewComicSpider(scrapy.Spider): name = "new_comic" allowed_domains = ["v2.api.dmzj.com"] start_urls = ['http://v2.api.dmzj.com/latest/100/%d.json?channel=ios&version=2.1.9' %i for i in range(11)] def parse(self, response): data = json.loads(response.body.decode('utf-8')) for comic in data: yield Request('http://v2.api.dmzj.com/comic/%d.json?channel=ios&version=2.1.9' %comic['id'], callback = self.parse_comic) def parse_comic(self, response): data = json.loads(response.body.decode('utf-8')) item = ComicItem() item['title'] = data['title'] item['origin_cover'] = data['cover'] item['description'] = data['description'] item['update_time'] = data['last_updatetime'] item['types'] = [tp['tag_name'] for tp in data['types']] item['authors'] = [author['tag_name'] for author in data['authors']] item['mid'] = data['id'] item['finished'] = True if data['status'][0]['tag_name'] == '已完结' else False for cat in data['chapters']: for chapter in cat['data']: # yield Request('http://v2.api.dmzj.com/chapter/%d/%d.json?channel=ios&version=2.1.9' % (data['id'], chapter['chapter_id']), callback = self.parse_chapter, meta = { 'cate': cat['title'], 'mid': data['id'], 'comic_name': data['title'] }) yield Request('http://v2.api.dmzj.com/chapter/%d/%d.json?channel=ios&version=2.1.9' % (data['id'], chapter['chapter_id']), callback = self.parse_chapter, meta = { 'cate': cat['title'], 'mid': data['id'] }) yield item def parse_chapter(self, response): data = json.loads(response.body.decode('utf-8')) item = ChapterItem() item['cate'] = response.meta['cate'] item['mid'] = response.meta['mid'] # item['comic_name'] = response.meta['comic_name'] item['pid'] = data['chapter_id'] item['title'] = data['title'] item['order'] = data['chapter_order'] item['origin_images'] = data['page_url'] yield item
9,657
[ -0.013397328555583954, -0.019518911838531494, 0.07526945322751999, -0.01589801162481308, 0.00011589354107854888, 0.05499241128563881, 0.0015021075960248709, -0.023897936567664146, -0.004899529740214348, 0.005889619700610638, -0.03976200520992279, -0.050058938562870026, -0.013035238720476627,...
12
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "AREA_PREFIX", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "STANDARD_UNIT", "value": {"_type": "Name", "_fields": {"id": "Distance", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "STANDARD_UNIT", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "DictComp", "_fields": {"key": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "AREA_PREFIX", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "UNITS", "value": {"_type": "Name", "_fields": {"id": "Distance", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "UNITS", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "DictComp", "_fields": {"key": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "AREA_PREFIX", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ALIAS", "value": {"_type": "Name", "_fields": {"id": "Distance", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ALIAS", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "DictComp", "_fields": {"key": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lower", "value": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "value": {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "ALIAS", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "LALIAS", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "other", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__class__", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "default_unit", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_default_unit", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "STANDARD_UNIT", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "values": [{"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "standard", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "NUMERIC_TYPES", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%(class)s must be divided by a number"}}, "right": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "class"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "pretty_name", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}], "name": "__truediv__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "other", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__truediv__", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "__div__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Area", "bases": [{"_type": "Name", "_fields": {"id": "MeasureBase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Area(MeasureBase): STANDARD_UNIT = AREA_PREFIX + Distance.STANDARD_UNIT # Getting the square units values and the alias dictionary. UNITS = {'%s%s' % (AREA_PREFIX, k): v ** 2 for k, v in Distance.UNITS.items()} ALIAS = {k: '%s%s' % (AREA_PREFIX, v) for k, v in Distance.ALIAS.items()} LALIAS = {k.lower(): v for k, v in ALIAS.items()} def __truediv__(self, other): if isinstance(other, NUMERIC_TYPES): return self.__class__(default_unit=self._default_unit, **{self.STANDARD_UNIT: (self.standard / other)}) else: raise TypeError('%(class)s must be divided by a number' % {"class": pretty_name(self)}) def __div__(self, other): # Python 2 compatibility return type(self).__truediv__(self, other)
9,658
[ 0.03712010383605957, 0.027133027091622353, -0.024702543392777443, -0.02228310890495777, 0.01884729042649269, -0.01222974807024002, -0.02934255637228489, -0.00351039064116776, 0.013875847682356834, -0.03453495353460312, 0.0065125892870128155, -0.033651139587163925, -0.014185181818902493, -0...
9
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"Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "chapter_id"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "pid"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "chapter_order"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "order"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "page_url"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "origin_images"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "parse_chapter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def parse_chapter(self, response): data = json.loads(response.body.decode('utf-8')) item = ChapterItem() item['cate'] = response.meta['cate'] item['mid'] = response.meta['mid'] # item['comic_name'] = response.meta['comic_name'] item['pid'] = data['chapter_id'] item['title'] = data['title'] item['order'] = data['chapter_order'] item['origin_images'] = data['page_url'] yield item
9,659
[ 0.027559466660022736, 0.020950820297002792, -0.046076659113168716, -0.01838739961385727, 0.00807963963598013, -0.021134693175554276, -0.035347070544958115, 0.0017386908875778317, 0.020756129175424576, -0.01120549812912941, -0.004037115722894669, -0.03426545858383179, 0.005502699874341488, ...
12
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"Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "last_updatetime"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "update_time"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tag_name"}}, "value": {"_type": "Name", "_fields": {"id": "tp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "types"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "tp", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "types"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tag_name"}}, "value": {"_type": "Name", "_fields": {"id": "author", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "authors"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "author", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "authors"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "mid"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "IfExp", "_fields": {"body": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "tag_name"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "status"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "已完结"}}]}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "finished"}}, "value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "http://v2.api.dmzj.com/chapter/%d/%d.json?channel=ios&version=2.1.9"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "chapter_id"}}, "value": {"_type": "Name", "_fields": {"id": "chapter", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "func": {"_type": 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"value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, "value": {"_type": "Name", "_fields": {"id": "cat", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "chapter", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "chapters"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "cat", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Yield", "_fields": {"value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "parse_comic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def parse_comic(self, response): data = json.loads(response.body.decode('utf-8')) item = ComicItem() item['title'] = data['title'] item['origin_cover'] = data['cover'] item['description'] = data['description'] item['update_time'] = data['last_updatetime'] item['types'] = [tp['tag_name'] for tp in data['types']] item['authors'] = [author['tag_name'] for author in data['authors']] item['mid'] = data['id'] item['finished'] = True if data['status'][0]['tag_name'] == '已完结' else False for cat in data['chapters']: for chapter in cat['data']: # yield Request('http://v2.api.dmzj.com/chapter/%d/%d.json?channel=ios&version=2.1.9' % (data['id'], chapter['chapter_id']), callback = self.parse_chapter, meta = { 'cate': cat['title'], 'mid': data['id'], 'comic_name': data['title'] }) yield Request('http://v2.api.dmzj.com/chapter/%d/%d.json?channel=ios&version=2.1.9' % (data['id'], chapter['chapter_id']), callback = self.parse_chapter, meta = { 'cate': cat['title'], 'mid': data['id'] }) yield item
9,660
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8
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def __init__(self, nulls_order_asc): if nulls_order_asc not in ('BEFORE', 'AFTER', 'DEFAULT'): raise Exception('Unknown nulls order: %s' % nulls_order_asc) self.nulls_order_asc = nulls_order_asc # Functions that don't follow the usual call syntax of foo(bar, baz) can be listed # here. Parenthesis were added everywhere to avoid problems with operator precedence. # TODO: Account for operator precedence... self.operator_funcs = { 'And': '({0}) AND ({1})', 'Or': '({0}) OR ({1})', 'Plus': '({0}) + ({1})', 'Minus': '({0}) - ({1})', 'Multiply': '({0}) * ({1})', 'Divide': '({0}) / ({1})', 'Equals': '({0}) = ({1})', 'NotEquals': '({0}) != ({1})', 'LessThan': '({0}) < ({1})', 'GreaterThan': '({0}) > ({1})', 'LessThanOrEquals': '({0}) <= ({1})', 'GreaterThanOrEquals': '({0}) >= ({1})', 'IsNull': '({0}) IS NULL', 'IsNotNull': '({0}) IS NOT NULL'}
9,661
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def _write_func(self, func): if func.name() in self.operator_funcs: sql = self.operator_funcs[func.name()].format( *[self._write(arg) for arg in func.args]) else: sql = '%s(%s)' % \ (self._to_sql_name(func.name()), self._write_as_comma_list(func.args)) return sql
9,662
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def _write_in(self, func, use_not=False): sql = '(%s) ' % self._write(func.args[0]) if use_not: sql += 'NOT ' sql += 'IN ' if func.signature.args[1].is_subquery: sql += self._write(func.args[1]) else: sql += '(' + self._write_as_comma_list(func.args[1:]) + ')' return sql
9,663
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def _write_analytic_func(self, func): sql = self._to_sql_name(func.name()) \ + '(' + self._write_as_comma_list(func.args) \ + ') OVER (' options = [] if func.partition_by_clause: options.append(self._write(func.partition_by_clause)) if func.order_by_clause: options.append(self._write(func.order_by_clause)) if func.window_clause: options.append(self._write(func.window_clause)) return sql + ' '.join(options) + ')'
9,664
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9
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def _write_order_by_clause(self, order_by_clause): sql = 'ORDER BY ' for idx, (expr, order) in enumerate(order_by_clause.exprs_to_order): if idx > 0: sql += ', ' sql += self._write(expr) if order: sql += ' ' + order nulls_order = self.get_nulls_order(order) if nulls_order is not None: sql += ' ' + nulls_order return sql
9,665
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11
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"_fields": {}}}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "val_expr", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "end_boundary", "value": {"_type": "Name", "_fields": {"id": "window_clause", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "upper", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "boundary_type", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "end_boundary", "value": {"_type": "Name", "_fields": {"id": "window_clause", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "end_boundary", "value": {"_type": "Name", "_fields": {"id": "window_clause", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_write_window_clause", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _write_window_clause(self, window_clause): sql = window_clause.range_or_rows.upper() + ' ' if window_clause.end_boundary: sql += 'BETWEEN ' if window_clause.start_boundary.val_expr: sql += self._write(window_clause.start_boundary.val_expr) + ' ' sql += window_clause.start_boundary.boundary_type.upper() + ' ' if window_clause.end_boundary: sql += 'AND ' if window_clause.end_boundary.val_expr: sql += self._write(window_clause.end_boundary.val_expr) + ' ' sql += window_clause.end_boundary.boundary_type.upper() return sql
9,666
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7
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def get_nulls_order(self, order): if self.nulls_order_asc is None: return None nulls_order_asc = self.nulls_order_asc if order == 'ASC': if nulls_order_asc == 'BEFORE': return 'NULLS FIRST' if nulls_order_asc == 'AFTER': return 'NULLS LAST' if order == 'DESC': if nulls_order_asc == 'BEFORE': return 'NULLS LAST' if nulls_order_asc == 'AFTER': return 'NULLS FIRST'
9,667
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13
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class HiveSqlWriter(SqlWriter): DIALECT = 'HIVE' # Hive greatest UDF is strict on type equality # Hive Profile already restricts to signatures with the same types, # but sometimes expression with UDF's like 'count' # return an unpredictable type like 'bigint' unlike # the query model, so cast is still necessary. def _write_greatest(self, func): args = func.args if args[0].type in (Int, Decimal, Float): argtype = args[0].type.__name__.lower() sql = '%s(%s)' % \ (self._to_sql_name(func.name()), (self._write_cast(args[0], argtype) + ", " + self._write_cast(args[1], argtype))) else: sql = self._write_func(func) return sql # Hive least UDF is strict on type equality # Hive Profile already restricts to signatures with the same types, # but sometimes expression with UDF's like 'count' # return an unpredictable type like 'bigint' unlike # the query model, so cast is still necessary. def _write_least(self, func): args = func.args if args[0].type in (Int, Decimal, Float): argtype = args[0].type.__name__.lower() sql = '%s(%s)' % \ (self._to_sql_name(func.name()), (self._write_cast(args[0], argtype) + ", " + self._write_cast(args[1], argtype))) else: sql = self._write_func(func) return sql # Hive partition by clause throws exception if sorted by more than one key, unless 'rows unbounded preceding' added. def _write_analytic_func(self, func): sql = self._to_sql_name(func.name()) \ + '(' + self._write_as_comma_list(func.args) \ + ') OVER (' options = [] if func.partition_by_clause: options.append(self._write(func.partition_by_clause)) if func.order_by_clause: options.append(self._write(func.order_by_clause)) if func.window_clause: options.append(self._write(func.window_clause)) if func.partition_by_clause and func.order_by_clause: if len(func.order_by_clause.exprs_to_order) > 1: if func.SUPPORTS_WINDOWING and func.window_clause is None: options.append('rows unbounded preceding') return sql + ' '.join(options) + ')'
9,668
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def _write_greatest(self, func): args = func.args if args[0].type in (Int, Decimal, Float): argtype = args[0].type.__name__.lower() sql = '%s(%s)' % \ (self._to_sql_name(func.name()), (self._write_cast(args[0], argtype) + ", " + self._write_cast(args[1], argtype))) else: sql = self._write_func(func) return sql
9,669
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12
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def _write_least(self, func): args = func.args if args[0].type in (Int, Decimal, Float): argtype = args[0].type.__name__.lower() sql = '%s(%s)' % \ (self._to_sql_name(func.name()), (self._write_cast(args[0], argtype) + ", " + self._write_cast(args[1], argtype))) else: sql = self._write_func(func) return sql
9,670
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10
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def _write_order_by_clause(self, order_by_clause): sql = 'ORDER BY ' for idx, (expr, order) in enumerate(order_by_clause.exprs_to_order): if idx > 0: sql += ', ' if expr.returns_char: sql += 'CAST({0} AS BYTEA)'.format(self._write(expr)) else: sql += self._write(expr) if order: sql += ' ' + order nulls_order = self.get_nulls_order(order) if (nulls_order is not None): sql += ' ' + nulls_order return sql
9,671
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11
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{"args": [{"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": " "}}}}, "keywords": []}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ")"}}}}}}], "name": "_write_analytic_func", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _write_analytic_func(self, func): sql = self._to_sql_name(func.name()) \ + '(' + self._write_as_comma_list(func.args) \ + ') OVER (' options = [] if func.partition_by_clause: options.append(self._write(func.partition_by_clause)) if func.order_by_clause: options.append(self._write(func.order_by_clause)) if func.window_clause: options.append(self._write(func.window_clause)) if func.partition_by_clause and func.order_by_clause: if len(func.order_by_clause.exprs_to_order) > 1: if func.SUPPORTS_WINDOWING and func.window_clause is None: options.append('rows unbounded preceding') return sql + ' '.join(options) + ')'
9,672
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"_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " "}}, "right": {"_type": "Name", "_fields": {"id": "nulls_order", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "sql", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "nulls_order", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "test": {"_type": "Name", "_fields": {"id": "order", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": 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"decorator_list": []}}], "type_ignores": []}}
def _write_order_by_clause(self, order_by_clause): sql = 'ORDER BY ' for idx, (expr, order) in enumerate(order_by_clause.exprs_to_order): if idx > 0: sql += ', ' sql += 'ISNULL({0}), {0}'.format(self._write(expr)) if order: sql += ' ' + order nulls_order = self.get_nulls_order(order) if (nulls_order is not None): sql += ' ' + nulls_order return sql
9,673
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def write_query(self, query, pretty=False): # MySQL doesn't support WITH clauses so they need to be converted into inline views. # We are going to cheat by making use of the fact that the query generator creates # with clause entries with unique aliases even considering nested queries. sql = list() for clause in ( query.select_clause, query.from_clause, query.where_clause, query.group_by_clause, query.having_clause, query.union_clause, query.order_by_clause, query.limit_clause): if clause: sql.append(self._write(clause)) sql = '\n'.join(sql) if query.with_clause: # Just replace the named referenes with inline views. Go in reverse order because # entries at the bottom of the WITH clause definition may reference entries above. for with_clause_inline_view in reversed(query.with_clause.with_clause_inline_views): replacement_sql = '(' + self.write_query(with_clause_inline_view.query) + ')' sql = sql.replace(with_clause_inline_view.identifier, replacement_sql) if pretty: sql = self.make_pretty_sql(sql) return sql
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def __init__(self, *args): if (len(args) == 2): self.__initArgs__(args[0], args[1], TTransport.TTransportFactoryBase(), TTransport.TTransportFactoryBase(), TBinaryProtocol.TBinaryProtocolFactory(), TBinaryProtocol.TBinaryProtocolFactory()) elif (len(args) == 4): self.__initArgs__(args[0], args[1], args[2], args[2], args[3], args[3]) elif (len(args) == 6): self.__initArgs__(args[0], args[1], args[2], args[3], args[4], args[5])
9,675
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def serve(self): self.serverTransport.listen() while True: client = self.serverTransport.accept() if not client: continue itrans = self.inputTransportFactory.getTransport(client) otrans = self.outputTransportFactory.getTransport(client) iprot = self.inputProtocolFactory.getProtocol(itrans) oprot = self.outputProtocolFactory.getProtocol(otrans) try: while True: self.processor.process(iprot, oprot) except TTransport.TTransportException as tx: pass except Exception as x: logger.exception(x) itrans.close() otrans.close()
9,676
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def serve(self): self.serverTransport.listen() while True: try: client = self.serverTransport.accept() if not client: continue t = threading.Thread(target=self.handle, args=(client,)) t.setDaemon(self.daemon) t.start() except KeyboardInterrupt: raise except Exception as x: logger.exception(x)
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"Try", "_fields": {"body": [{"_type": "While", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "iprot", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "oprot", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "process", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "processor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "orelse": []}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": "tx", "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TTransportException", "value": {"_type": "Name", "_fields": {"id": "TTransport", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exception", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "x", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "itrans", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "otrans", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "handle", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def handle(self, client): itrans = self.inputTransportFactory.getTransport(client) otrans = self.outputTransportFactory.getTransport(client) iprot = self.inputProtocolFactory.getProtocol(itrans) oprot = self.outputProtocolFactory.getProtocol(otrans) try: while True: self.processor.process(iprot, oprot) except TTransport.TTransportException as tx: pass except Exception as x: logger.exception(x) itrans.close() otrans.close()
9,678
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "While", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "WNOHANG", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "waitpid", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "pid", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "status", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Name", "_fields": {"id": "pid", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": null, "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pid", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "remove", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "pid", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Break", "_fields": {}}]}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "children", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "collect_children", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def collect_children(self): while self.children: try: pid, status = os.waitpid(0, os.WNOHANG) except os.error: pid = None if pid: self.children.remove(pid) else: break
9,679
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{"kind": null, "value": 0}}, "targets": [{"_type": "Name", "_fields": {"id": "ecode", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Try", "_fields": {"body": [{"_type": "While", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "iprot", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "oprot", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "process", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "processor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "orelse": []}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": "tx", "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TTransportException", "value": {"_type": "Name", "_fields": {"id": "TTransport", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exception", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "targets": [{"_type": "Name", "_fields": {"id": "ecode", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "e", "type": {"_type": "Name", 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{}}}}}}], "finalbody": []}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "orelse": []}}], "name": "serve", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def serve(self): def try_close(file): try: file.close() except IOError as e: logger.warning(e, exc_info=True) self.serverTransport.listen() while True: client = self.serverTransport.accept() if not client: continue try: pid = os.fork() if pid: # parent # add before collect, otherwise you race w/ waitpid self.children.append(pid) self.collect_children() # Parent must close socket or the connection may not get # closed promptly itrans = self.inputTransportFactory.getTransport(client) otrans = self.outputTransportFactory.getTransport(client) try_close(itrans) try_close(otrans) else: itrans = self.inputTransportFactory.getTransport(client) otrans = self.outputTransportFactory.getTransport(client) iprot = self.inputProtocolFactory.getProtocol(itrans) oprot = self.outputProtocolFactory.getProtocol(otrans) ecode = 0 try: try: while True: self.processor.process(iprot, oprot) except TTransport.TTransportException as tx: pass except Exception as e: logger.exception(e) ecode = 1 finally: try_close(itrans) try_close(otrans) os._exit(ecode) except TTransport.TTransportException as tx: pass except Exception as x: logger.exception(x)
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def __init__(self): super(MissingPlugin, self).__init__() self.config.add({ 'count': False, 'total': False, }) self.album_template_fields['missing'] = _missing_count self._command = Subcommand('missing', help=__doc__, aliases=['miss']) self._command.parser.add_option( u'-c', u'--count', dest='count', action='store_true', help=u'count missing tracks per album') self._command.parser.add_option( u'-t', u'--total', dest='total', action='store_true', help=u'count total of missing tracks') self._command.parser.add_format_option()
9,681
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def commands(self): def _miss(lib, opts, args): self.config.set_args(opts) count = self.config['count'].get() total = self.config['total'].get() fmt = config['format_album' if count else 'format_item'].get() albums = lib.albums(decargs(args)) if total: print(sum([_missing_count(a) for a in albums])) return # Default format string for count mode. if count: fmt += ': $missing' for album in albums: if count: if _missing_count(album): print_(format(album, fmt)) else: for item in self._missing(album): print_(format(item, fmt)) self._command.func = _miss return [self._command]
9,682
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"Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "album", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_missing_count", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "Name", "_fields": {"id": "count", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "fmt", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "format", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "print_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "album", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_missing", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}]}}], "iter": {"_type": "Name", "_fields": {"id": "albums", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "album", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "_miss", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _miss(lib, opts, args): self.config.set_args(opts) count = self.config['count'].get() total = self.config['total'].get() fmt = config['format_album' if count else 'format_item'].get() albums = lib.albums(decargs(args)) if total: print(sum([_missing_count(a) for a in albums])) return # Default format string for count mode. if count: fmt += ': $missing' for album in albums: if count: if _missing_count(album): print_(format(album, fmt)) else: for item in self._missing(album): print_(format(item, fmt))
9,683
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8
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def __init__(self, ui, repo, remote): cap = remote.capable('largefiles') if not cap: raise lfutil.storeprotonotcapable([]) storetypes = cap.split(',') if 'serve' not in storetypes: raise lfutil.storeprotonotcapable(storetypes) self.remote = remote super(wirestore, self).__init__(ui, repo, remote.url())
9,684
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11
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{}}}}, {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "col", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "lnum", "value": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "col", "value": {"_type": "Name", "_fields": {"id": "col", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "msg_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}}}, {"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "msg_id", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "errors", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "add_message", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Reporter", "bases": [{"_type": "Name", "_fields": {"id": "BaseReporter", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class Reporter(BaseReporter): def __init__(self): self.errors = [] super(Reporter, self).__init__() def _display(self, layout): pass def add_message(self, msg_id, location, msg): _, _, line, col = location[1:] self.errors.append(dict( lnum=line, col=col, text="%s %s" % (msg_id, msg), type=msg_id[0] ))
9,685
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10
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def add_message(self, msg_id, location, msg): _, _, line, col = location[1:] self.errors.append(dict( lnum=line, col=col, text="%s %s" % (msg_id, msg), type=msg_id[0] ))
9,686
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def setUp(self): super(ActiveUsersListTests, self).setUp() self.link = '/api/users/?list=active' cache.clear() threadstore.clear() self.forum = Forum.objects.all_forums().filter(role="forum")[:1][0] self.forum.labels = []
9,687
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"Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, select=None, ignore=None, params=None): params = dict(params.items()) rcfile = params.get('rcfile', LAMA_RCFILE) enable = params.get('enable', None) disable = params.get('disable', None) if op.exists(HOME_RCFILE): rcfile = HOME_RCFILE if select: enable = select | set(enable.split(",") if enable else []) if ignore: disable = ignore | set(disable.split(",") if disable else []) params.update(dict( report=params.get('report', False), rcfile=rcfile, enable=enable, disable=disable)) self.params = dict( (name.replace('_', '-'), self.prepare_value(value)) for name, value in params.items() if value is not None)
9,688
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def _dnsname_to_pat(dn): pats = [] for frag in dn.split(r'.'): if frag == '*': # When '*' is a fragment by itself, it matches a non-empty dotless # fragment. pats.append('[^.]+') else: # Otherwise, '*' matches any dotless fragment. frag = re.escape(frag) pats.append(frag.replace(r'\*', '[^.]*')) return re.compile(r'\A' + r'\.'.join(pats) + r'\Z', re.IGNORECASE)
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def application(environ, start_response): request = Request(environ) response = BaseResponse({ 'get': get_time, 'set': set_time }.get(request.path.strip('/'), index)(request), mimetype='text/html') request.session.save_cookie(response) return response(environ, start_response)
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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "buf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "undo_stack"}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "keys", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buf", "ctx": {"_type": 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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "group", "value": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "g", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "g", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "eval", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Name", "_fields": {"id": "g", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "value": {"_type": "Name", "_fields": {"id": "tbl", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "code", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "finditer", "value": {"_type": "Name", "_fields": {"id": "re_imp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "env: %s"}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": 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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tbl", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "table", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "tbl", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "deepcopy", "value": {"_type": "Name", "_fields": {"id": "copy", "ctx": {"_type": "Load", 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{"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "undo_stack", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "stash", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": 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class ConfigSet(object): __slots__=('table','parent') def __init__(self,filename=None): self.table={} if filename: self.load(filename) def __contains__(self,key): if key in self.table:return True try:return self.parent.__contains__(key) except AttributeError:return False def keys(self): keys=set() cur=self while cur: keys.update(cur.table.keys()) cur=getattr(cur,'parent',None) keys=list(keys) keys.sort() return keys def __str__(self): return"\n".join(["%r %r"%(x,self.__getitem__(x))for x in self.keys()]) def __getitem__(self,key): try: while 1: x=self.table.get(key,None) if not x is None: return x self=self.parent except AttributeError: return[] def __setitem__(self,key,value): self.table[key]=value def __delitem__(self,key): self[key]=[] def __getattr__(self,name): if name in self.__slots__: return object.__getattr__(self,name) else: return self[name] def __setattr__(self,name,value): if name in self.__slots__: object.__setattr__(self,name,value) else: self[name]=value def __delattr__(self,name): if name in self.__slots__: object.__delattr__(self,name) else: del self[name] def derive(self): newenv=ConfigSet() newenv.parent=self return newenv def detach(self): tbl=self.get_merged_dict() try: delattr(self,'parent') except AttributeError: pass else: keys=tbl.keys() for x in keys: tbl[x]=copy.deepcopy(tbl[x]) self.table=tbl return self def get_flat(self,key): s=self[key] if isinstance(s,str):return s return' '.join(s) def _get_list_value_for_modification(self,key): try: value=self.table[key] except KeyError: try:value=self.parent[key] except AttributeError:value=[] if isinstance(value,list): value=value[:] else: value=[value] else: if not isinstance(value,list): value=[value] self.table[key]=value return value def append_value(self,var,val): if isinstance(val,str): val=[val] current_value=self._get_list_value_for_modification(var) current_value.extend(val) def prepend_value(self,var,val): if isinstance(val,str): val=[val] self.table[var]=val+self._get_list_value_for_modification(var) def append_unique(self,var,val): if isinstance(val,str): val=[val] current_value=self._get_list_value_for_modification(var) for x in val: if x not in current_value: current_value.append(x) def get_merged_dict(self): table_list=[] env=self while 1: table_list.insert(0,env.table) try:env=env.parent except AttributeError:break merged_table={} for table in table_list: merged_table.update(table) return merged_table def store(self,filename): try: os.makedirs(os.path.split(filename)[0]) except OSError: pass buf=[] merged_table=self.get_merged_dict() keys=list(merged_table.keys()) keys.sort() try: fun=ascii except NameError: fun=repr for k in keys: if k!='undo_stack': buf.append('%s = %s\n'%(k,fun(merged_table[k]))) Utils.writef(filename,''.join(buf)) def load(self,filename): tbl=self.table code=Utils.readf(filename,m='rU') for m in re_imp.finditer(code): g=m.group tbl[g(2)]=eval(g(3)) Logs.debug('env: %s'%str(self.table)) def update(self,d): for k,v in d.items(): self[k]=v def stash(self): orig=self.table tbl=self.table=self.table.copy() for x in tbl.keys(): tbl[x]=copy.deepcopy(tbl[x]) self.undo_stack=self.undo_stack+[orig] def revert(self): self.table=self.undo_stack.pop(-1)
9,691
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10
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def keys(self): keys=set() cur=self while cur: keys.update(cur.table.keys()) cur=getattr(cur,'parent',None) keys=list(keys) keys.sort() return keys
9,692
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def __getitem__(self,key): try: while 1: x=self.table.get(key,None) if not x is None: return x self=self.parent except AttributeError: return[]
9,693
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def detach(self): tbl=self.get_merged_dict() try: delattr(self,'parent') except AttributeError: pass else: keys=tbl.keys() for x in keys: tbl[x]=copy.deepcopy(tbl[x]) self.table=tbl return self
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def get_merged_dict(self): table_list=[] env=self while 1: table_list.insert(0,env.table) try:env=env.parent except AttributeError:break merged_table={} for table in table_list: merged_table.update(table) return merged_table
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def _get_list_value_for_modification(self,key): try: value=self.table[key] except KeyError: try:value=self.parent[key] except AttributeError:value=[] if isinstance(value,list): value=value[:] else: value=[value] else: if not isinstance(value,list): value=[value] self.table[key]=value return value
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[{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Test"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertContains", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_data", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ExportsViewTest", "bases": [{"_type": "Name", "_fields": {"id": "FixtureTestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ExportsViewTest(FixtureTestCase): def test_view_rss(self): response = self.client.get(reverse("rss")) self.assertContains(response, "Test/Test") def test_view_rss_project(self): response = self.client.get(reverse("rss-project", kwargs=self.kw_project)) self.assertContains(response, "Test/Test") def test_view_rss_component(self): response = self.client.get(reverse("rss-component", kwargs=self.kw_component)) self.assertContains(response, "Test/Test") def test_view_rss_translation(self): response = self.client.get( reverse("rss-translation", kwargs=self.kw_translation) ) self.assertContains(response, "Test/Test") def test_export_stats(self): response = self.client.get(reverse("export_stats", kwargs=self.kw_component)) parsed = json.loads(response.content.decode()) self.assertEqual(parsed[0]["name"], "Czech") def test_export_stats_csv(self): response = self.client.get( reverse("export_stats", kwargs=self.kw_component), {"format": "csv"} ) self.assertContains(response, "name,code") def test_export_project_stats(self): response = self.client.get(reverse("export_stats", kwargs=self.kw_project)) parsed = json.loads(response.content.decode()) self.assertIn("Czech", [i["language"] for i in parsed]) def test_export_project_stats_csv(self): response = self.client.get( reverse("export_stats", kwargs=self.kw_project), {"format": "csv"} ) self.assertContains(response, "language,code") def test_data(self): response = self.client.get(reverse("data_project", kwargs=self.kw_project)) self.assertContains(response, "Test")
9,697
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12
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[{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s = %s\n"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "merged_table", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "fun", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": 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"join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "writef", "value": {"_type": "Name", "_fields": {"id": "Utils", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "store", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def store(self,filename): try: os.makedirs(os.path.split(filename)[0]) except OSError: pass buf=[] merged_table=self.get_merged_dict() keys=list(merged_table.keys()) keys.sort() try: fun=ascii except NameError: fun=repr for k in keys: if k!='undo_stack': buf.append('%s = %s\n'%(k,fun(merged_table[k]))) Utils.writef(filename,''.join(buf))
9,698
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10
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"test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Name", "_fields": {"id": "Z", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "remove", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "empty", "value": {"_type": "Name", "_fields": {"id": "Map", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "empty", "value": {"_type": "Name", "_fields": {"id": "Map", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}], "name": "test_remove", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def test_remove(): my_map = Map({1: 1, -2: -2, 0: 0}) assert not(my_map.remove(Z(1)) == my_map) assert my_map.remove(Z(1)) == Map({-2: -2, 0: 0}) assert my_map.remove(Z(100)) == my_map assert Map.empty().remove(Z(10)) == Map.empty()
9,699
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13
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"s", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "BRANCH", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SubPattern", "value": {"_type": "Name", "_fields": {"id": "sre_parse", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compile", "value": {"_type": "Name", "_fields": {"id": "sre_compile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "scanner", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def __init__(self, lexicon, flags=FLAGS): self.actions = [None] # combine phrases into a compound pattern s = sre_parse.Pattern() s.flags = flags p = [] for idx, token in enumerate(lexicon): phrase = token.pattern try: subpattern = sre_parse.SubPattern(s, [(SUBPATTERN, (idx + 1, sre_parse.parse(phrase, flags)))]) except sre_constants.error: raise p.append(subpattern) self.actions.append(token) p = sre_parse.SubPattern(s, [(BRANCH, (None, p))]) self.scanner = sre_compile.compile(p)
9,700
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"Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "foo1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo2"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "REQUIRED", "value": {"_type": "Name", "_fields": {"id": "InputArgument", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "InputArgument", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "foo2", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "initialize_arguments", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "f"}}], "func": {"_type": "Name", "_fields": {"id": "InputOption", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "foo", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "bar"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}], "func": {"_type": "Name", "_fields": {"id": "InputOption", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "bar", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "fooBis"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "f"}}], "func": {"_type": "Name", "_fields": {"id": "InputOption", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "foo1", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "p"}}], "func": {"_type": "Name", "_fields": {"id": "InputOption", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "foo2", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "multi"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "m|mm|mmm"}}], "func": {"_type": "Name", "_fields": {"id": "InputOption", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "multi", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "initialize_options", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "InputDefinitionTest", "bases": [{"_type": "Name", "_fields": {"id": "CleoTestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class InputDefinitionTest(CleoTestCase): def setUp(self): super(InputDefinitionTest, self).setUp() self.foo = None self.bar = None self.foo1 = None self.foo2 = None def test_init_arguments(self): self.initialize_arguments() definition = InputDefinition() self.assertEqual([], definition.get_arguments()) definition = InputDefinition([self.foo, self.bar]) self.assertEqual( [self.foo, self.bar], definition.get_arguments() ) def test_init_options(self): self.initialize_options() definition = InputDefinition() self.assertEqual([], definition.get_options()) definition = InputDefinition([self.foo, self.bar]) self.assertEqual( [self.foo, self.bar], definition.get_options() ) def test_set_arguments(self): self.initialize_arguments() definition = InputDefinition() definition.set_arguments([self.foo]) self.assertEqual([self.foo], definition.get_arguments()) definition.set_arguments([self.bar]) self.assertEqual([self.bar], definition.get_arguments()) def test_add_arguments(self): self.initialize_arguments() definition = InputDefinition() definition.add_arguments([self.foo]) self.assertEqual([self.foo], definition.get_arguments()) definition.add_arguments([self.bar]) self.assertEqual([self.foo, self.bar], definition.get_arguments()) def test_add_argument(self): self.initialize_arguments() definition = InputDefinition() definition.add_argument(self.foo) self.assertEqual([self.foo], definition.get_arguments()) definition.add_argument(self.bar) self.assertEqual([self.foo, self.bar], definition.get_arguments()) def test_arguments_must_have_different_names(self): self.initialize_arguments() definition = InputDefinition() definition.add_argument(self.foo) self.assertRaisesRegexp( Exception, 'An argument with name "foo" already exists.', definition.add_argument, self.foo1 ) def test_list_argument_has_to_be_last(self): self.initialize_arguments() definition = InputDefinition() definition.add_argument(InputArgument('foolist', InputArgument.IS_LIST)) self.assertRaisesRegexp( Exception, 'Cannot add an argument after a list argument.', definition.add_argument, InputArgument('anotherbar') ) def test_required_argument_cannot_follow_an_optional_one(self): self.initialize_arguments() definition = InputDefinition() definition.add_argument(self.foo) self.assertRaisesRegexp( Exception, 'Cannot add a required argument after an optional one.', definition.add_argument, self.foo2 ) def test_get_argument(self): self.initialize_arguments() definition = InputDefinition() definition.add_arguments([self.foo]) self.assertEqual(self.foo, definition.get_argument('foo')) def test_get_invalid_argument(self): self.initialize_arguments() definition = InputDefinition() definition.add_arguments([self.foo]) self.assertRaises( Exception, 'The "bar" argument does not exist.', definition.get_argument, 'bar' ) def test_has_argument(self): self.initialize_arguments() definition = InputDefinition() definition.add_arguments([self.foo]) self.assertTrue(definition.has_argument('foo')) self.assertFalse(definition.has_argument('bar')) def test_get_argument_required_count(self): self.initialize_arguments() definition = InputDefinition() definition.add_argument(self.foo2) self.assertEqual(1, definition.get_argument_required_count()) definition.add_argument(self.foo) self.assertEqual(1, definition.get_argument_required_count()) def test_argument_count(self): self.initialize_arguments() definition = InputDefinition() definition.add_argument(self.foo2) self.assertEqual(1, definition.get_argument_count()) definition.add_argument(self.foo) self.assertEqual(2, definition.get_argument_count()) def test_get_argument_default(self): definition = InputDefinition([ InputArgument('foo1', InputArgument.OPTIONAL), InputArgument('foo2', InputArgument.OPTIONAL, '', 'default'), InputArgument('foo3', InputArgument.OPTIONAL | InputArgument.IS_LIST), ]) self.assertEqual( { 'foo1': None, 'foo2': 'default', 'foo3': [] }, definition.get_argument_defaults() ) definition = InputDefinition([ InputArgument('foo4', InputArgument.OPTIONAL | InputArgument.IS_LIST, '', [1, 2]) ]) self.assertEqual({'foo4': [1, 2]}, definition.get_argument_defaults()) def test_set_options(self): self.initialize_options() definition = InputDefinition([self.foo]) self.assertEqual([self.foo], definition.get_options()) definition.set_options([self.bar]) self.assertEqual([self.bar], definition.get_options()) def test_set_options_clears_options(self): self.initialize_options() definition = InputDefinition([self.foo]) definition.set_options([self.bar]) self.assertRaisesRegexp( Exception, 'The "-f" option does not exist.', definition.get_option_for_shortcut, 'f' ) def test_add_options(self): self.initialize_options() definition = InputDefinition([self.foo]) self.assertEqual([self.foo], definition.get_options()) definition.add_options([self.bar]) self.assertEqual([self.foo, self.bar], definition.get_options()) def test_add_option(self): self.initialize_options() definition = InputDefinition() definition.add_option(self.foo) self.assertEqual([self.foo], definition.get_options()) definition.add_option(self.bar) self.assertEqual([self.foo, self.bar], definition.get_options()) def test_add_duplicate_option(self): self.initialize_options() definition = InputDefinition() definition.add_option(self.foo) self.assertRaisesRegexp( Exception, 'An option named "foo" already exists.', definition.add_option, self.foo2 ) def test_add_duplicate_shortcut_option(self): self.initialize_options() definition = InputDefinition() definition.add_option(self.foo) self.assertRaisesRegexp( Exception, 'An option with shortcut "f" already exists.', definition.add_option, self.foo1 ) def test_get_option(self): self.initialize_options() definition = InputDefinition([self.foo]) self.assertEqual(self.foo, definition.get_option('foo')) def test_get_invalid_option(self): self.initialize_options() definition = InputDefinition([self.foo]) self.assertRaisesRegexp( Exception, 'The "--bar" option does not exist.', definition.get_option, 'bar' ) def test_has_option(self): self.initialize_options() definition = InputDefinition([self.foo]) self.assertTrue(definition.has_option('foo')) self.assertFalse(definition.has_option('bar')) def test_has_shortcut(self): self.initialize_options() definition = InputDefinition([self.foo]) self.assertTrue(definition.has_shortcut('f')) self.assertFalse(definition.has_shortcut('b')) def test_get_option_for_shortcut(self): self.initialize_options() definition = InputDefinition([self.foo]) self.assertEqual(self.foo, definition.get_option_for_shortcut('f')) def test_get_option_for_multi_shortcut(self): self.initialize_options() definition = InputDefinition([self.multi]) self.assertEqual(self.multi, definition.get_option_for_shortcut('m')) self.assertEqual(self.multi, definition.get_option_for_shortcut('mmm')) def test_get_options_defaults(self): definition = InputDefinition([ InputOption('foo1', None, InputOption.VALUE_NONE), InputOption('foo2', None, InputOption.VALUE_REQUIRED), InputOption('foo3', None, InputOption.VALUE_REQUIRED, '', 'default'), InputOption('foo4', None, InputOption.VALUE_OPTIONAL), InputOption('foo5', None, InputOption.VALUE_OPTIONAL, '', 'default'), InputOption('foo6', None, InputOption.VALUE_OPTIONAL | InputOption.VALUE_IS_LIST), InputOption('foo7', None, InputOption.VALUE_OPTIONAL | InputOption.VALUE_IS_LIST, '', [1, 2]) ]) defaults = { 'foo1': False, 'foo2': None, 'foo3': 'default', 'foo4': None, 'foo5': 'default', 'foo6': [], 'foo7': [1, 2] } self.assertEqual(defaults, definition.get_option_defaults()) def test_get_synopsis(self): definition = InputDefinition([InputOption('foo')]) self.assertEqual('[--foo]', definition.get_synopsis()) definition = InputDefinition([InputOption('foo', 'f')]) self.assertEqual('[-f|--foo]', definition.get_synopsis()) definition = InputDefinition([InputOption('foo', 'f', InputOption.VALUE_REQUIRED)]) self.assertEqual('[-f|--foo="..."]', definition.get_synopsis()) definition = InputDefinition([InputOption('foo', 'f', InputOption.VALUE_OPTIONAL)]) self.assertEqual('[-f|--foo[="..."]]', definition.get_synopsis()) definition = InputDefinition([InputArgument('foo')]) self.assertEqual('[foo]', definition.get_synopsis()) definition = InputDefinition([InputArgument('foo', InputArgument.REQUIRED)]) self.assertEqual('foo', definition.get_synopsis()) definition = InputDefinition([InputArgument('foo', InputArgument.IS_LIST)]) self.assertEqual('[foo1] ... [fooN]', definition.get_synopsis()) definition = InputDefinition([InputArgument('foo', InputArgument.REQUIRED | InputArgument.IS_LIST)]) self.assertEqual('foo1 ... [fooN]', definition.get_synopsis()) def test_as_text(self): definition = InputDefinition([ InputArgument('foo', InputArgument.OPTIONAL, 'The foo argument'), InputArgument('baz', InputArgument.OPTIONAL, 'The baz argument', True), InputArgument('bar', InputArgument.OPTIONAL | InputArgument.IS_LIST, 'The bar argument', ['http://foo.com/']), InputOption('foo', 'f', InputOption.VALUE_REQUIRED, 'The foo option'), InputOption('baz', None, InputOption.VALUE_OPTIONAL, 'The baz option', False), InputOption('bar', 'b', InputOption.VALUE_OPTIONAL, 'The bar option', 'bar'), InputOption('qux', '', InputOption.VALUE_OPTIONAL | InputOption.VALUE_IS_LIST, 'The qux option', ['http://foo.com/', 'bar']) ]) self.assertEqual( self.open_fixture('definition_astext.txt'), definition.as_text() ) def initialize_arguments(self): self.foo = InputArgument('foo') self.bar = InputArgument('bar') self.foo1 = InputArgument('foo') self.foo2 = InputArgument('foo2', InputArgument.REQUIRED) def initialize_options(self): self.foo = InputOption('foo', 'f') self.bar = InputOption('bar', 'b') self.foo1 = InputOption('fooBis', 'f') self.foo2 = InputOption('foo', 'p') self.multi = InputOption('multi', 'm|mm|mmm')