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__author__ = 'joe krall' from pom3_requirements_tree import * import random def random_cost(): return random.randint(1, 100) def random_value(): return random.randint(1, 100) class pom3_requirements: def __init__(requirements, decisions): requirements.heap = requirements_tree() requirements.coun...
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__author__ = 'joe krall' from pom3_team import * import math class pom3_teams: def __init__(p3t, requirements, decisions): p3t.teams = [] p3t.decisions = decisions # Build Each Team total_size = 0 while (total_size < requirements.count): #specific sized teams ...
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__author__ = 'joe krall' from pom3_teams import * from pom3_requirements import * import random class pom3_decisions: def __init__(p3d, X): p3d.culture = X[0] p3d.criticality = X[1] p3d.criticality_modifier = X[2] p3d.initial_known = X[3] p3d.interdependency = X[4] ...
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__author__ = 'joe krall' import math, random MAX_VALUE = 1500 class Team(object): def __init__(self, decisions): self.decisions = decisions self.team_size = decisions.team_size self.plan = decisions.plan self.size = decisions.size self.visible = 1-decisions.initial_known...
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__author__ = "Joe Kvedaras and Collin Day" #Set up a tournament with a game and register players from AllPlayAll import * class TournamentService: def __init__(self): #Is tournament service the one to create a new tournament? self.tournament = AllPlayAll() self.game = None def regist...
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__author__ = 'Joel Ferrier' import logging from margaritashotgun._version import __version__ from margaritashotgun.client import Client def set_stream_logger(name='margaritashotgun', level=logging.INFO, format_string=None): """ Add a stream handler for the provided name and level to the...
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__author__ = 'Joe Linn' from .abstractdocument import AbstractDocument class IndexDocument(AbstractDocument): def __init__(self, document): """ @param document: @type document: pylastica.document.Document """ super(IndexDocument, self).__init__(document) self._op_t...
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__author__ = 'Joe Linn' from .abstractfacet import AbstractFacet import pylastica.exception class GeoDistance(AbstractFacet): """ @see: http://www.elasticsearch.org/guide/reference/api/search/facets/geo-distance-facet/ """ def set_ranges(self, ranges): """ Set all ranges for the face...
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__author__ = 'Joe Linn' from .abstractfacet import AbstractFacet import pylastica.exception class Range(AbstractFacet): def set_field(self, field): """ Set the field for the facet @param field: field name @type field: str @return: @rtype: self """ r...
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__author__ = 'Joe Linn' from .abstractfacet import AbstractFacet import pylastica.script class Terms(AbstractFacet): ORDER_COUNT = 'count' ORDER_TERM = 'term' ORDER_REVERSE_COUNT = 'reverse_count' ORDER_REVERSE_TERM = 'reverse_term' def set_field(self, field): """ Set the field fo...
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__author__ = 'Joe Linn' from .abstractfilter import AbstractFilter import pylastica.query.abstract class Nested(AbstractFilter): SCORE_MODE_AVG = 'avg' SCORE_MODE_TOTAL = 'total' SCORE_MODE_MAX = 'max' SCORE_MODE_NONE = 'none' def set_path(self, path): """ Set the nested document...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery from pylastica.filter.abstractfilter import AbstractFilter class FunctionScore(AbstractQuery): """ @see http://www.elasticsearch.org/guide/reference/query-dsl/function-score-query/ """ BOOST_MODE_MULTIPLY = 'multiply' BOOST_MODE_REPLACE...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery import pylastica.doc_type class Ids(AbstractQuery): def __init__(self, doc_type=None, ids=None): """ @param doc_type: document type @type doc_type: str or pylastica.doc_type.DocType @param ids: document ids @type ...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery import pylastica.exception class Fuzzy(AbstractQuery): def __init__(self, field_name=None, value=None): """ Set either both parameters or neither. @param field_name: field name @type field_name: str @param value: s...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery import pylastica.exception class Terms(AbstractQuery): def __init__(self, key='', terms=None): """ Construct terms query @param key: terms key @type key: str @param terms: terms list @type terms: list ...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery import pylastica.filter.abstractfilter class Filtered(AbstractQuery): def __init__(self, query, filter): """ @param query: @type query: pylastica.query.AbstractQuery @param filter: @type filter: pylastica.filter.A...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery import pylastica.script class CustomScore(AbstractQuery): def __init__(self, script=None, query=None): """ @param script: @type script: str or dict or pylastica.script.Script @param query: @type query: str or pyla...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery class FuzzyLikeThis(AbstractQuery): def __init__(self): super(FuzzyLikeThis, self).__init__() self._fields = [] self._like_text = '' self._ignore_tf = False self._max_query_terms = 25 self._min_similarity =...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery class MultiMatch(AbstractQuery): def set_query(self, query=None): """ Set the query string @param query: @type query: str @return: @rtype: self """ if query is None: query = '' ...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery class Common(AbstractQuery): OPERATOR_AND = 'and' OPERATOR_OR = 'or' def __init__(self, field, query, cutoff_frequency): """ @param field: The field on which to query @type field: str @param query: The query stri...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery class Nested(AbstractQuery): SCORE_MODE_AVG = 'avg' SCORE_MODE_TOTAL = 'total' SCORE_MODE_MAX = 'max' SCORE_MODE_NONE = 'none' def set_path(self, path): """ Set the path for the nested query @param path: ...
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__author__ = 'Joe Linn' from .abstract import AbstractQuery class QueryString(AbstractQuery): def __init__(self, query_string=''): """ @param query_string: optional query string @type query_string: str """ super(QueryString, self).__init__() self.set_query(query_st...
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__author__ = 'Joe Linn' from .abstract import AbstractRiver class RabbitMQ(AbstractRiver): """ @see: https://github.com/elasticsearch/elasticsearch-river-rabbitmq/blob/master/README.md """ river_type = 'rabbitmq' EXCHANGE_DIRECT = 'direct' EXCHANGE_FANOUT = 'fanout' def __init__(self, ...
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__author__ = 'Joe Linn' from .abstract import AbstractSuggestion class Term(AbstractSuggestion): """ @see: http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-suggesters-term.html """ SORT_SCORE = 'score' SORT_FREQUENCY = 'frequency' SUGGEST_MODE_MISSING = 'missing'...
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__author__ = 'Joe Linn' from .indexdocument import IndexDocument class UpdateDocument(IndexDocument): def __init__(self, document): """ @param document: @type document: pylastica.document.Document """ super(UpdateDocument, self).__init__(document) self._op_type = ...
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__author__ = 'Joe Linn' from .index import * from .shard import * class Health(object): def __init__(self, client): """ @param client: @type client: pylastica.client.Client """ super(Health, self).__init__() self._client = client self.refresh() self....
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__author__ = 'Joe Linn' from venturocket.abstractclient import AbstractClient class ListingClient(AbstractClient): def create_listing(self, listing): """ Create a new listing :param listing: a dictionary or listing object :type listing: Listing or dict :return: the id of t...
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__author__ = 'Joe Linn' import abc from .action import Action from pylastica.document import Document from pylastica.script import Script class AbstractDocument(Action): __metaclass__ = abc.ABCMeta def __init__(self, document): """ @param document: @type document: pylastica.document...
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__author__ = 'Joe Linn' import abc from pylastica.param import Param class AbstractSuggestion(Param): __metaclass__ = abc.ABCMeta def __init__(self, name, field): """ @param name: the name of this suggestion @type name: str @param field: the field on which to perform this sug...
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__author__ = 'Joe Linn' import abc import copy import pylastica.param import pylastica.util class AbstractTransport(pylastica.param.Param): __metaclass__ = abc.ABCMeta def __init__(self, connection=None): """ @param connection: @type connection: pylastica.connection.Connection ...
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__author__ = 'Joe Linn' import abc import pylastica class AbstractType(pylastica.searchable.Searchable): __metaclass__ = abc.ABCMeta MAX_DOCS_PER_REQUEST = 1000 _index_name = None #name of index. Override this in implementing classes. _type_name = None #name of document type. Override this in imp...
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__author__ = 'Joe Linn' import abc import pylastica.param import pylastica.exception class AbstractFilter(pylastica.param.Param): __metaclass__ = abc.ABCMeta def set_cached(self, cached=True): """ Sets the filter cache @param cached: @type cached: bool @return: ...
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__author__ = 'Joe Linn' import abc import pylastica.param class AbstractFacet(pylastica.param.Param): __metaclass__ = abc.ABCMeta def __init__(self, name): """ @param name: the name of the facet @type name: str """ super(AbstractFacet, self).__init__() self._f...
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__author__ = 'Joe Linn' import abc import pylastica.param class AbstractRiver(pylastica.param.Param): __metaclass__ = abc.ABCMeta river_type = 'river' #override this in implementing classes def __init__(self, client, name, index=None, doc_type=None, bulk_size=100, bulk_timeout='10ms'): """ ...
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__author__ = 'Joe Linn' import abc import pylastica.response class AbstractException(Exception): __metaclass__ = abc.ABCMeta class BulkException(AbstractException): pass class ClientException(AbstractException): pass class ConnectionException(AbstractException): def __init__(self, message, requ...
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__author__ = 'Joe Linn' import abc class Searchable(object): __metaclass__ = abc.ABCMeta @abc.abstractmethod def search(self, query=None, options=None): """ Searches results for a query @param query: dict with all query data or a Query object @type query: str or dict or py...
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__author__ = 'Joe Linn' import json import logging class Log(object): def __init__(self, log=''): """ @param log: file name for logging @type log: str """ super(Log, self).__init__() self._log = True #log path or True if enabled self._last_message = '' ...
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__author__ = 'Joe Linn' import json import pylastica.exception import pylastica.util class Param(object): def __init__(self): self._params = {} self._rawParams = {} def to_dict(self): """ Convert the params to a dict @return: @rtype: dict """ d...
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__author__ = 'Joe Linn' import json import pylastica.exception class Response(object): def __init__(self, response_string, status=None): """ @param response_string: response string (json) @type response_string: str or dict @param status: http status code @type status: int ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/response.py", "copies": "1", "size": "5205", "license": "apache-2.0", "hash": 113172025214110990, "line_mean": 25.6923076923, "line_max": 113, "alpha_frac": 0.511623439, "autogenerated": false, "ratio": 4.606194690265487, "config_test": false,...
__author__ = 'Joe Linn' import json import pylastica.index class Action(object): OP_TYPE_CREATE = 'create' OP_TYPE_INDEX = 'index' OP_TYPE_DELETE = 'delete' OP_TYPE_UPDATE = 'update' def __init__(self, op_type=OP_TYPE_INDEX, metadata=None, source=None): """ @param op_type: see O...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/bulk/action/action.py", "copies": "1", "size": "3978", "license": "apache-2.0", "hash": -1719481612445723100, "line_mean": 19.9368421053, "line_max": 77, "alpha_frac": 0.4901960784, "autogenerated": false, "ratio": 4.092592592592593, "config_t...
__author__ = 'Joe Linn' import json import pylastica.param class Request(pylastica.param.Param): POST = 'POST' PUT = 'PUT' GET = 'GET' DELETE = 'DELETE' def __init__(self, path, method='GET', data=None, query=None, connection=None): """ @param path: Request path @type pat...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/request.py", "copies": "1", "size": "4507", "license": "apache-2.0", "hash": 3915264031387446000, "line_mean": 21.9948979592, "line_max": 128, "alpha_frac": 0.5198579987, "autogenerated": false, "ratio": 4.304680038204394, "config_test": false...
__author__ = 'Joe Linn' import json import thrift import thrift.transport import thrift.transport.TSocket import thrift.protocol import Rest from pylastica.transport import AbstractTransport import pylastica.response import pylastica.exception.connection class ThriftTransport(AbstractTransport): def __init__(sel...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/transport/thrifttransport/thrifttransport.py", "copies": "1", "size": "4217", "license": "apache-2.0", "hash": 1429407652143038000, "line_mean": 36.990990991, "line_max": 130, "alpha_frac": 0.6231918425, "autogenerated": false, "ratio": 4.325128...
__author__ = 'Joe Linn' import pylastica.aggregation.abstractaggregation as abstract class DateRange(abstract.AbstractAggregation): def set_field(self, field): """ Set the field for this aggregation @param field: the name of the document field on which to perform this aggregation ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/aggregation/daterange.py", "copies": "1", "size": "1666", "license": "apache-2.0", "hash": 6638653960844240000, "line_mean": 35.2391304348, "line_max": 135, "alpha_frac": 0.6170468187, "autogenerated": false, "ratio": 4.25, "config_test": fals...
__author__ = 'Joe Linn' import pylastica.aggregation.abstractaggregation as abstract class GeoDistance(abstract.AbstractAggregation): def __init__(self, name, field, origin): """ @param name: the name of this aggregation @type name: str @param field: the field on which to perform ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/aggregation/geodistance.py", "copies": "1", "size": "2559", "license": "apache-2.0", "hash": -1937658210945271600, "line_mean": 32.6842105263, "line_max": 115, "alpha_frac": 0.5881203595, "autogenerated": false, "ratio": 4.154220779220779, "co...
__author__ = 'Joe Linn' import pylastica.aggregation.abstractaggregation as abstract class IpRange(abstract.AbstractAggregation): def __init__(self, name, field): """ @param name: the name of this aggregation @type name: str @param field: the name of the document field on which to...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/aggregation/iprange.py", "copies": "1", "size": "1801", "license": "apache-2.0", "hash": 784719510539318700, "line_mean": 32.3703703704, "line_max": 96, "alpha_frac": 0.5835646863, "autogenerated": false, "ratio": 4.121281464530893, "config_te...
__author__ = 'Joe Linn' import pylastica.aggregation.abstractaggregation as abstract class Range(abstract.SimpleAggregation): def add_range(self, from_value=None, to_value=None): """ Add a range for this aggregation @param from_value: low end of this range, exclusive (greater than) ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/aggregation/range.py", "copies": "1", "size": "1223", "license": "apache-2.0", "hash": 2925475439841028600, "line_mean": 33.9714285714, "line_max": 112, "alpha_frac": 0.6009811938, "autogenerated": false, "ratio": 4.090301003344481, "config_te...
__author__ = 'Joe Linn' import pylastica.client from .info import * from .stats import * class Node(object): def __init__(self, name, client): """ @param name: node name @type name: str @param client: @type client: pylastica.client.Client """ super(Node, se...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/node/__init__.py", "copies": "1", "size": "2054", "license": "apache-2.0", "hash": 7902339919338828000, "line_mean": 24.3580246914, "line_max": 128, "alpha_frac": 0.5418695229, "autogenerated": false, "ratio": 4.191836734693878, "config_test":...
__author__ = 'Joe Linn' import pylastica.client import pylastica.query class Search(object): OPTION_SEARCH_TYPE = 'search_type' OPTION_ROUTING = 'routing' OPTION_PREFERENCE = 'preference' OPTION_VERSION = 'version' OPTION_TIMEOUT = 'timeout' OPTION_FROM = 'from' OPTION_SIZE = 'size' O...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/search.py", "copies": "1", "size": "11309", "license": "apache-2.0", "hash": 7740559464249382000, "line_mean": 26.1199040767, "line_max": 133, "alpha_frac": 0.5401892298, "autogenerated": false, "ratio": 4.063600431189364, "config_test": false...
__author__ = 'Joe Linn' import pylastica.client import pylastica.request from . import health from .settings import * class Cluster(object): def __init__(self, client): """ @param client: @type client: pylastica.client.Client """ super(Cluster, self).__init__() ass...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/cluster/__init__.py", "copies": "1", "size": "3493", "license": "apache-2.0", "hash": -4818010665230867000, "line_mean": 25.2631578947, "line_max": 128, "alpha_frac": 0.5665616948, "autogenerated": false, "ratio": 4.3176761433868975, "config_t...
__author__ = 'Joe Linn' import pylastica.client class Settings(object): def __init__(self, client): """ @param client: @type client: pylastica.client.Client """ super(Settings, self).__init__() assert isinstance(client, pylastica.client.Client), "client must be an i...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/cluster/settings.py", "copies": "1", "size": "3625", "license": "apache-2.0", "hash": -7940784021913657000, "line_mean": 28.2338709677, "line_max": 128, "alpha_frac": 0.5577931034, "autogenerated": false, "ratio": 4.53125, "config_test": false...
__author__ = 'Joe Linn' import pylastica.exception from .abstractfilter import AbstractFilter class Terms(AbstractFilter): def __init__(self, key='', terms=None): """ @param key: document field @type key: str @param terms: list of term values @type terms: list of str ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/terms.py", "copies": "1", "size": "2533", "license": "apache-2.0", "hash": -1821487579119781400, "line_mean": 28.1149425287, "line_max": 99, "alpha_frac": 0.5448085274, "autogenerated": false, "ratio": 4.1592775041050905, "config_test":...
__author__ = 'Joe Linn' import pylastica.exception class HttpException(pylastica.exception.ConnectionException): def __init__(self, error, request=None, response=None): """ @param error: @type error: str @param request: @type request: pylastica.request.Request @par...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/exception/connection.py", "copies": "1", "size": "1979", "license": "apache-2.0", "hash": -7880200666086298000, "line_mean": 25.3866666667, "line_max": 90, "alpha_frac": 0.583628095, "autogenerated": false, "ratio": 4.339912280701754, "config_...
__author__ = 'Joe Linn' import pylastica.exception class ActionException(pylastica.exception.BulkException): def __init__(self, response, *args, **kwargs): """ @param response: @type response: pylastica.bulk.response.Response @param args: @type args: @param kwargs...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/exception/bulk/response.py", "copies": "1", "size": "1402", "license": "apache-2.0", "hash": -7167334715230363000, "line_mean": 23.1724137931, "line_max": 96, "alpha_frac": 0.5156918688, "autogenerated": false, "ratio": 4.0520231213872835, "co...
__author__ = 'Joe Linn' import pylastica.exception class ResponseException(pylastica.exception.BulkException): def __init__(self, response_set, *args, **kwargs): """ @param response_set: @type response_set: pylastica.bulk.responseset.ResponseSet @param args: @type args: ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/exception/bulk/__init__.py", "copies": "1", "size": "2174", "license": "apache-2.0", "hash": -531039276341651650, "line_mean": 26.5189873418, "line_max": 149, "alpha_frac": 0.5910763569, "autogenerated": false, "ratio": 4.15678776290631, "conf...
__author__ = 'Joe Linn' #import pylastica.filter.abstractfilter from .abstractfilter import AbstractFilter class Prefix(AbstractFilter): def __init__(self, field='', prefix=''): """ @param field: field name @type field: str @param prefix: prefix string @type prefix: str ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/prefix.py", "copies": "1", "size": "1082", "license": "apache-2.0", "hash": 7849810878780825000, "line_mean": 21.0816326531, "line_max": 49, "alpha_frac": 0.5194085028, "autogenerated": false, "ratio": 4.2265625, "config_test": false, ...
__author__ = 'Joe Linn' #import pylastica.filter.abstractfilter from .abstractfilter import AbstractFilter class Query(AbstractFilter): def __init__(self, query=None): """ @param query: query @type query: dict or pylastica.query.abstract.AbstractQuery """ super(Query, self...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/query.py", "copies": "1", "size": "1553", "license": "apache-2.0", "hash": 6957292880416579000, "line_mean": 25.775862069, "line_max": 105, "alpha_frac": 0.5499034127, "autogenerated": false, "ratio": 4.086842105263158, "config_test": f...
__author__ = 'Joe Linn' #import pylastica.filter.abstractfilter from .abstractfilter import AbstractFilter class Range(AbstractFilter): def __init__(self, field_name=None, args=None): """ @param field_name: field name @type field_name: str @param args: field arguments @typ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/range.py", "copies": "1", "size": "1090", "license": "apache-2.0", "hash": 827213064317292800, "line_mean": 24.9523809524, "line_max": 82, "alpha_frac": 0.5596330275, "autogenerated": false, "ratio": 3.978102189781022, "config_test": fa...
__author__ = 'Joe Linn' #import pylastica.filter.abstractfilter import pylastica.doc_type from .abstractfilter import AbstractFilter class Ids(AbstractFilter): def __init__(self, doc_type=None, ids=None): """ @param doc_type: document type @type doc_type: str or pylastica.doc_type.DocType...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/ids.py", "copies": "1", "size": "1816", "license": "apache-2.0", "hash": -6633412313280883000, "line_mean": 27.375, "line_max": 72, "alpha_frac": 0.5561674009, "autogenerated": false, "ratio": 3.683569979716024, "config_test": false, ...
__author__ = 'Joe Linn' import pylastica.index class Status(object): def __init__(self, client): """ @param client: @type client: pylastica.client.Client """ super(Status, self).__init__() self._client = client self._data = None self._response = Non...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/status.py", "copies": "1", "size": "3100", "license": "apache-2.0", "hash": 3888108726529906000, "line_mean": 25.2711864407, "line_max": 110, "alpha_frac": 0.545483871, "autogenerated": false, "ratio": 4.384724186704385, "config_test": false, ...
__author__ = 'Joe Linn' import pylastica.index class Percolator(object): def __init__(self, index): """ @param index: @type index: pylastica.index.Index """ assert isinstance(index, pylastica.index.Index), "index must be an instance of Index: %r" % index self._in...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/percolator.py", "copies": "1", "size": "2089", "license": "apache-2.0", "hash": -4886144436166045000, "line_mean": 29.7205882353, "line_max": 105, "alpha_frac": 0.5825753949, "autogenerated": false, "ratio": 3.8190127970749543, "config_test": ...
__author__ = 'Joe Linn' #import pylastica from .abstract import AbstractQuery class CustomFiltersScore(AbstractQuery): SCORE_MODE_FIRST = 'first' SCORE_MODE_MIN = 'min' SCORE_MODE_MAX = 'max' SCORE_MODE_TOTAL = 'total' SCORE_MOD_AVG = 'avg' SCORE_MODE_MULTIPLY = 'multiply' def __init__(se...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/query/customfiltersscore.py", "copies": "1", "size": "2885", "license": "apache-2.0", "hash": -5947504466154917000, "line_mean": 28.1414141414, "line_max": 128, "alpha_frac": 0.5663778163, "autogenerated": false, "ratio": 4.0013869625520115, "...
__author__ = 'Joe Linn' #import pylastica import pylastica.request class Settings(object): DEFAULT_REFRESH_INTERVAL = '1s' def __init__(self, index): """ @param index: @type index: pylastica.index.Index """ assert isinstance(index, pylastica.index.Index), "index must ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/index/settings.py", "copies": "1", "size": "5463", "license": "apache-2.0", "hash": 6649502816068907000, "line_mean": 24.7688679245, "line_max": 98, "alpha_frac": 0.5385319422, "autogenerated": false, "ratio": 4.241459627329193, "config_test":...
__author__ = 'Joe Linn' #import pylastica import pylastica.response class ResponseSet(pylastica.response.Response): def __init__(self, response, bulk_responses): """ @param response: @type response: pylastica.response.Response @param bulk_responses: @type bulk_responses: l...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/bulk/responseset.py", "copies": "1", "size": "2017", "license": "apache-2.0", "hash": -6852128702837163000, "line_mean": 20.4574468085, "line_max": 70, "alpha_frac": 0.4987605354, "autogenerated": false, "ratio": 4.394335511982571, "config_tes...
__author__ = 'Joe Linn' import pylastica class Mapping(object): def __init__(self, doc_type=None, properties=None): """ @param type: optional DocType object @type type: pylastica.doc_type.DocType @param properties: @type properties: dict """ self._mapping =...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/doc_type/mapping.py", "copies": "1", "size": "4705", "license": "apache-2.0", "hash": 9205465363536435000, "line_mean": 25.1388888889, "line_max": 115, "alpha_frac": 0.5332624867, "autogenerated": false, "ratio": 4.174800354924579, "config_tes...
__author__ = 'Joe Linn' import pylastica class Stats(object): def __init__(self, index): """ @param index: @type index: pylastica.index.Index """ assert isinstance(index, pylastica.index.Index), "index must be of type Index: %r" % index self._index = index ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/index/stats.py", "copies": "1", "size": "1637", "license": "apache-2.0", "hash": -1640395415465310500, "line_mean": 23.4328358209, "line_max": 120, "alpha_frac": 0.5241295052, "autogenerated": false, "ratio": 4.377005347593583, "config_test": ...
__author__ = 'Joe Linn' import pylastica class Status(object): def __init__(self, index): """ @param index: @type index: pylastica.index.Index """ assert isinstance(index, pylastica.index.Index), "index must be an instance of Index: %r" % index self._index = index ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/index/status.py", "copies": "1", "size": "2501", "license": "apache-2.0", "hash": 7398678967386184000, "line_mean": 24.7835051546, "line_max": 111, "alpha_frac": 0.5349860056, "autogenerated": false, "ratio": 4.342013888888889, "config_test": ...
__author__ = 'Joe Linn' import pylastica.param import pylastica.scriptfields from .abstract import AbstractQuery from .matchall import MatchAll from pylastica.suggest.suggest import Suggest from pylastica.aggregation.abstractaggregation import AbstractAggregation from pylastica.suggest.abstract import AbstractSuggesti...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/query/query.py", "copies": "1", "size": "8663", "license": "apache-2.0", "hash": -2388530740659822000, "line_mean": 29.1846689895, "line_max": 148, "alpha_frac": 0.5740505599, "autogenerated": false, "ratio": 4.263287401574803, "config_test": ...
__author__ = 'Joe Linn' import pylastica.request import pylastica.client import pylastica.exception class Snapshot(object): """ @see http://www.elasticsearch.org/guide/en/elasticsearch/reference/master/modules-snapshots.html """ def __init__(self, client): """ @param client: a pylast...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/snapshot.py", "copies": "1", "size": "5715", "license": "apache-2.0", "hash": -3842733820612015600, "line_mean": 36.6052631579, "line_max": 128, "alpha_frac": 0.6153980752, "autogenerated": false, "ratio": 4.43366951124903, "config_test": fals...
__author__ = 'Joe Linn' import pylastica.searchable from .settings import * from .stats import * from .status import * class Index(pylastica.searchable.Searchable): def __init__(self, client, name): """ @param client: @type client: pylastica.client.Client @param name: index name ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/index/__init__.py", "copies": "1", "size": "9528", "license": "apache-2.0", "hash": 7473011289513981000, "line_mean": 28.868338558, "line_max": 125, "alpha_frac": 0.5505877414, "autogenerated": false, "ratio": 4.354661791590494, "config_test":...
__author__ = 'Joe Linn' import re import dateutil.parser import importlib def get_param_name(name_or_object): """ Attempts to determine the name of the parameter based on its class @param name_or_object: class instance or class name @type name_or_object: str or object @return: parameter name @...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/util.py", "copies": "1", "size": "1225", "license": "apache-2.0", "hash": -3666697534981705700, "line_mean": 28.1666666667, "line_max": 96, "alpha_frac": 0.6195918367, "autogenerated": false, "ratio": 3.249336870026525, "config_test": false, ...
__author__ = 'Joe Linn' import requests from pyflare import APIError class PyflareClient(object): CLOUDFLARE_URL = 'https://www.cloudflare.com/api_json.html' def __init__(self, email, token): """ Instantiate a Pyflare client object :param email: The email address associated with you...
{ "repo_name": "getlantern/pyflare", "path": "pyflare/client.py", "copies": "1", "size": "15480", "license": "apache-2.0", "hash": 5715866523779764000, "line_mean": 29.5928853755, "line_max": 119, "alpha_frac": 0.5144056848, "autogenerated": false, "ratio": 4.262114537444934, "config_test": fals...
__author__ = 'Joe Linn' import requests import json from requests.exceptions import HTTPError from pyflare import APIError class PyflareClient(object): CLOUDFLARE_URL = 'https://www.cloudflare.com/api_json.html' def __init__(self, email, token): """ Instantiate a Pyflare client object ...
{ "repo_name": "jlinn/pyflare", "path": "pyflare/client.py", "copies": "3", "size": "16159", "license": "apache-2.0", "hash": -7007849813490515000, "line_mean": 29.7205323194, "line_max": 119, "alpha_frac": 0.519277183, "autogenerated": false, "ratio": 4.296463706461048, "config_test": false, ...
__author__ = 'Joe Linn' import unittest from pyflare import PyflareClient from mock_responses import mock_response_client class PyflareTest(unittest.TestCase): def setUp(self): self.pyflare = PyflareClient('address@example.com', 'your_api_key') @mock_response_client def test_stats(self): ...
{ "repo_name": "Inikup/pyflare", "path": "tests/test_pyflare_client.py", "copies": "3", "size": "4810", "license": "apache-2.0", "hash": -7164958534977109000, "line_mean": 34.6296296296, "line_max": 95, "alpha_frac": 0.6365904366, "autogenerated": false, "ratio": 3.5445836403831983, "config_test...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class GeoPolygonTest(unittest.TestCase, Base): def test_geo_point(self): index = self._create_index('test') doc_type = index.get_doc_type('test') doc_type.mapping = { 'point': { ...
{ "repo_name": "jlinn/pylastica", "path": "tests/filter/test_geopolygon.py", "copies": "1", "size": "1341", "license": "apache-2.0", "hash": -1495088952491568400, "line_mean": 27.5319148936, "line_max": 100, "alpha_frac": 0.5123042506, "autogenerated": false, "ratio": 3.4651162790697674, "config...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class MyTestCase(unittest.TestCase, Base): def setUp(self): client = self._get_client() node = client.cluster.nodes[0] self._has_rabbit_river = node.info.has_plugin('river-rabbitmq') def test_to_dict...
{ "repo_name": "jlinn/pylastica", "path": "tests/river/test_rabbitmq.py", "copies": "1", "size": "1528", "license": "apache-2.0", "hash": -8696531336156191000, "line_mean": 30.1836734694, "line_max": 76, "alpha_frac": 0.5445026178, "autogenerated": false, "ratio": 3.800995024875622, "config_test...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class MyTestCase(unittest.TestCase, Base): def setUp(self): self._index = self._create_index('test_functionscore') self._doc_type = self._index.get_doc_type('test') self._doc_type.mapping = { ...
{ "repo_name": "jlinn/pylastica", "path": "tests/query/test_functionscore.py", "copies": "1", "size": "3680", "license": "apache-2.0", "hash": -8167676869063970000, "line_mean": 36.1717171717, "line_max": 117, "alpha_frac": 0.4820652174, "autogenerated": false, "ratio": 3.728470111448835, "confi...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class PrefixTest(unittest.TestCase, Base): def test_different_prefixes(self): index = self._create_index('test') doc_type = index.get_doc_type('test') mapping = pylastica.doc_type.Mapping(doc_type, { ...
{ "repo_name": "jlinn/pylastica", "path": "tests/filter/test_prefix.py", "copies": "1", "size": "2364", "license": "apache-2.0", "hash": 4757463373138978000, "line_mean": 35.9375, "line_max": 81, "alpha_frac": 0.6074450085, "autogenerated": false, "ratio": 3.3155680224403925, "config_test": true...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class StatisticalTest(unittest.TestCase, Base): def test_statistical_with_set_field(self): client = self._get_client() index = client.get_index('test') index.create(options=True) doc_type = index....
{ "repo_name": "jlinn/pylastica", "path": "tests/facet/test_statistical.py", "copies": "1", "size": "2926", "license": "apache-2.0", "hash": 9079513045397975000, "line_mean": 37.5, "line_max": 81, "alpha_frac": 0.6083390294, "autogenerated": false, "ratio": 3.458628841607565, "config_test": true...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class StatusTest(unittest.TestCase, Base): def test_get_aliases(self): index_name = 'test' alias_name = 'test-alias' index = self._create_index(index_name) status = pylastica.index.Status(index) ...
{ "repo_name": "jlinn/pylastica", "path": "tests/index/test_status.py", "copies": "1", "size": "1304", "license": "apache-2.0", "hash": 8059954414925745000, "line_mean": 23.6037735849, "line_max": 64, "alpha_frac": 0.6119631902, "autogenerated": false, "ratio": 3.8240469208211145, "config_test":...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class TermsTest(unittest.TestCase, Base): def test_lookup(self): index = self._create_index('test') doc_type1 = index.get_doc_type('band') doc_type2 = index.get_doc_type('members') doc_type1.add_...
{ "repo_name": "jlinn/pylastica", "path": "tests/filter/test_terms.py", "copies": "1", "size": "1059", "license": "apache-2.0", "hash": 814660073701157000, "line_mean": 32.09375, "line_max": 84, "alpha_frac": 0.6185080264, "autogenerated": false, "ratio": 3.278637770897833, "config_test": true, ...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class ThriftTest(unittest.TestCase, Base): def setUp(self): client = self._get_client() node = client.cluster.nodes[0] self._has_thrift = node.info.has_plugin('transport-thrift') if self._has_thri...
{ "repo_name": "jlinn/pylastica", "path": "tests/transport/test_thrift.py", "copies": "1", "size": "1924", "license": "apache-2.0", "hash": 6584483933401034000, "line_mean": 38.2653061224, "line_max": 108, "alpha_frac": 0.6081081081, "autogenerated": false, "ratio": 3.6097560975609757, "config_t...
__author__ = 'Joe Linn' import unittest import pylastica from tests.base import Base class WildcardTest(unittest.TestCase, Base): def test_search_with_analyzer(self): client = self._get_client() index = client.get_index('test') index_params = { 'analysis': { 'a...
{ "repo_name": "jlinn/pylastica", "path": "tests/query/test_wildcard.py", "copies": "1", "size": "1650", "license": "apache-2.0", "hash": -8178771479291574000, "line_mean": 32, "line_max": 81, "alpha_frac": 0.5315151515, "autogenerated": false, "ratio": 3.658536585365854, "config_test": true, ...
__author__ = 'Joe Linn' import urllib3 import json import pylastica.transport import pylastica.exception.connection class Http(pylastica.transport.AbstractTransport): _scheme = 'http' METHOD_GET = 'GET' METHOD_POST = 'POST' METHOD_PUT = 'PUT' METHOD_DELETE = 'DELETE' def __init__(self, conn...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/transport/http.py", "copies": "1", "size": "4727", "license": "apache-2.0", "hash": -1114175608183616900, "line_mean": 29.6948051948, "line_max": 114, "alpha_frac": 0.5603977153, "autogenerated": false, "ratio": 4.15377855887522, "config_test"...
__author__ = 'Joe Linn' import urllib from .abstracttype import * from .mapping import * import pylastica.searchable class DocType(pylastica.searchable.Searchable): def __init__(self, index, name): """ @param index: index object @type index: pylastica.index.Index @param name: docu...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/doc_type/__init__.py", "copies": "1", "size": "10600", "license": "apache-2.0", "hash": -5709351857365351000, "line_mean": 33.4155844156, "line_max": 127, "alpha_frac": 0.5882075472, "autogenerated": false, "ratio": 4.173228346456693, "config_...
__author__ = 'Joe Linn' class Info(object): def __init__(self, node, params=None): """ @param node: @type node: pylastica.node.Node @param params: list of parameters to return. (settings, os, process, jvm, thread_pool, network, transport, http) @type params: list of str ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/node/info.py", "copies": "1", "size": "3610", "license": "apache-2.0", "hash": 1308002964992664000, "line_mean": 28.5901639344, "line_max": 127, "alpha_frac": 0.5390581717, "autogenerated": false, "ratio": 4.3027413587604295, "config_test": fa...
__author__ = 'Joe Linn' class Stats(object): def __init__(self, node): """ @param node: @type node: pylastica.node.Node """ super(Stats, self).__init__() import pylastica.node assert isinstance(node, pylastica.node.Node), "node must be an instance of pylasti...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/node/stats.py", "copies": "1", "size": "1677", "license": "apache-2.0", "hash": 903766897909942900, "line_mean": 24.0298507463, "line_max": 114, "alpha_frac": 0.5175909362, "autogenerated": false, "ratio": 4.267175572519084, "config_test": fal...
__author__ = 'Joe Linn' from .abstractfilter import AbstractGeoDistance import pylastica.exception class GeoDistanceRange(AbstractGeoDistance): RANGE_FROM = 'from' RANGE_TO = 'to' RANGE_LT = 'lt' RANGE_LTE = 'lte' RANGE_GT = 'gt' RANGE_GTE = 'gte' RANGE_INCLUDE_LOWER = 'inc...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/geodistancerange.py", "copies": "1", "size": "2334", "license": "apache-2.0", "hash": -720261775972621800, "line_mean": 31.8260869565, "line_max": 102, "alpha_frac": 0.5801199657, "autogenerated": false, "ratio": 3.909547738693467, "con...
__author__ = 'Joe Linn' from . import action from .action import abstractdocument from .response import * from .responseset import * import pylastica.exception.bulk class Bulk(object): DELIMITER = "\n" UDP_DEFAULT_HOST = 'localhost' UDP_DEFAULT_PORT = 9700 def __init__(self, client): ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/bulk/__init__.py", "copies": "1", "size": "10252", "license": "apache-2.0", "hash": -7712297718069053000, "line_mean": 29.4478527607, "line_max": 162, "alpha_frac": 0.5289699571, "autogenerated": false, "ratio": 4.364410387398893, "config_test...
__author__ = 'Joe Linn' import base64 import pylastica.param from pylastica.bulk.action import Action class Document(pylastica.param.Param): OP_TYPE_CREATE = Action.OP_TYPE_CREATE def __init__(self, doc_id=None, data=None, doc_type=None, index=None): """ @param doc_id: ...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/document.py", "copies": "1", "size": "17692", "license": "apache-2.0", "hash": 7467414974530754000, "line_mean": 21.2815789474, "line_max": 117, "alpha_frac": 0.4810083654, "autogenerated": false, "ratio": 4.4031856645097065, "config_test": fa...
__author__ = 'Joe Linn' #import pylastica.filter.abstractfilter from .abstractfilter import AbstractFilter import pylastica.exception class Bool(AbstractFilter): def __init__(self): self._boost = 1.0 self._must = [] self._should = [] self._must_not = [] super(Bo...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/bool.py", "copies": "1", "size": "2355", "license": "apache-2.0", "hash": 7125085352341278000, "line_mean": 26.3734939759, "line_max": 123, "alpha_frac": 0.5159235669, "autogenerated": false, "ratio": 4.220430107526882, "config_test": f...
__author__ = 'Joe Linn' #import pylastica.filter.abstractfilter from .abstractfilter import AbstractGeoDistance class GeoDistance(AbstractGeoDistance): DISTANCE_TYPE_ARC = 'arc' DISTANCE_TYPE_PLANE = 'plane' OPTIMIZE_BBOX_MEMORY = 'memory' OPTIMIZE_BBOX_INDEXED = 'indexed' OPTIMIZED_BB...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/filter/geodistance.py", "copies": "1", "size": "1498", "license": "apache-2.0", "hash": 5763043823082230000, "line_mean": 25.7407407407, "line_max": 77, "alpha_frac": 0.5567423231, "autogenerated": false, "ratio": 3.994666666666667, "config_te...
__author__ = 'Joe Linn' import pylastica.param class Script(pylastica.param.Param): LANG_MVEL = 'mvel' LANG_JS = 'js' LANG_GROOVY = 'groovy' LANG_PYTHON = 'python' LANG_NATIVE = 'native' def __init__(self, script, params=None, lang=None, doc_id=None): """ @param...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/script.py", "copies": "1", "size": "5715", "license": "apache-2.0", "hash": 6540085597774645000, "line_mean": 23.6278026906, "line_max": 131, "alpha_frac": 0.4885389326, "autogenerated": false, "ratio": 4.406322282189668, "config_test": false,...
__author__ = 'Joe Linn' import pylastica.response import pylastica.result class ResultSet(object): def __init__(self, response, query): """ @type response: pylastica.response.Response @type query: pylastica.query.Query """ assert isinstance(response, pylastica.re...
{ "repo_name": "jlinn/pylastica", "path": "pylastica/resultset.py", "copies": "1", "size": "4708", "license": "apache-2.0", "hash": -1975532750273158000, "line_mean": 24.9028571429, "line_max": 116, "alpha_frac": 0.5140186916, "autogenerated": false, "ratio": 4.391791044776119, "config_test": fa...
__author__ = "Joel Pedraza" __copyright__ = "Copyright 2014, Joel Pedraza" __license__ = "MIT" __all__ = ['RequestsFormatter', 'format_request', 'format_response'] from logging import Formatter from requests import RequestException class RequestsFormatter(Formatter): def format(self, record): if isinstan...
{ "repo_name": "saik0/hibget", "path": "hibget/requests_logging.py", "copies": "1", "size": "1481", "license": "mit", "hash": 2536887734981434400, "line_mean": 29.2448979592, "line_max": 104, "alpha_frac": 0.5962187711, "autogenerated": false, "ratio": 3.468384074941452, "config_test": false, ...
__author__ = "Joel Pedraza" __copyright__ = "Copyright 2014, Joel Pedraza" __license__ = "MIT" from humblebundle import logger def callback(func): """ A decorator to add a keyword arg 'callback' to execute a method on the return value of a function Used to add callbacks to the API calls :param ...
{ "repo_name": "lutris/humblebundle-python", "path": "humblebundle/decorators.py", "copies": "1", "size": "1053", "license": "mit", "hash": -1678038601734429000, "line_mean": 24.0714285714, "line_max": 76, "alpha_frac": 0.6372269706, "autogenerated": false, "ratio": 4.228915662650603, "config_te...
__author__ = "Joel Pedraza" __copyright__ = "Copyright 2014, Joel Pedraza" __license__ = "MIT" from progressbar import Widget, ProgressBar, Percentage, Bar, FileTransferSpeed import datetime UNITS = ( {'suffix': 'YiB', 'divider': 1024 ** 8}, {'suffix': 'ZiB', 'divider': 1024 ** 7}, {'suffix': 'EiB', 'divi...
{ "repo_name": "saik0/hibget", "path": "hibget/widgets.py", "copies": "1", "size": "2503", "license": "mit", "hash": -4445045411057869000, "line_mean": 32.8378378378, "line_max": 117, "alpha_frac": 0.5613264083, "autogenerated": false, "ratio": 3.3687752355316287, "config_test": false, "has_no...
__author__ = "Joel Pedraza" __copyright__ = "Copyright 2014, Joel Pedraza" __license__ = "MIT" from requests import RequestException from humblebundle.exceptions import HumbleResponseException from distutils.util import strtobool from contextlib import contextmanager import sys @contextmanager def smart_open(file, mo...
{ "repo_name": "saik0/hibget", "path": "hibget/utils.py", "copies": "1", "size": "1625", "license": "mit", "hash": -7585356642658628000, "line_mean": 25.2258064516, "line_max": 86, "alpha_frac": 0.5778461538, "autogenerated": false, "ratio": 3.92512077294686, "config_test": false, "has_no_keyw...
__author__ = 'Joel Wright' class FunHeap: empty = True data = None rank = 0 left_heap = None right_heap = None def __init__(self, node_value=None): if node_value is not None: self.empty = False self.data = node_value self.rank = 1 self.le...
{ "repo_name": "joel-wright/max-heap", "path": "max_heap/max_heap.py", "copies": "1", "size": "2358", "license": "bsd-3-clause", "hash": 2656623313691373600, "line_mean": 27.4096385542, "line_max": 95, "alpha_frac": 0.5173876166, "autogenerated": false, "ratio": 3.821717990275527, "config_test":...
__author__ = 'Joel Wright' from max_heap.max_heap import FunHeap def values(heap): while heap.data is not None: v = heap.max() heap = heap.remove() yield v def test_create(): heap = FunHeap() assert heap.max() is None def test_height(): heap = FunHeap() heap = heap.insert...
{ "repo_name": "joel-wright/max-heap", "path": "max_heap/test/test_fun_heap.py", "copies": "1", "size": "1202", "license": "bsd-3-clause", "hash": 7181080587247166000, "line_mean": 20.8545454545, "line_max": 37, "alpha_frac": 0.5582362729, "autogenerated": false, "ratio": 3.163157894736842, "con...
__author__ = 'Joel Wright' import gtk import math import cairo import struct import pygtk pygtk.require('2.0') class DrawingAreaExample(gtk.Window): def __init__(self): super(DrawingAreaExample, self).__init__() self.set_title("Drawing Area Example") self.resize(300,400) self.set_...
{ "repo_name": "joel-wright/DDRPi", "path": "experiments/python/gtk_drawing_area_pixels.py", "copies": "1", "size": "2077", "license": "mit", "hash": -3455044760412884500, "line_mean": 23.7380952381, "line_max": 71, "alpha_frac": 0.5324987963, "autogenerated": false, "ratio": 3.235202492211838, ...