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from elasticsearch import Elasticsearch
from elasticsearch import helpers
from collections import deque
import config
import datetime
import time
import gzip
#PREDICATION_ID: Auto-generated primary key for each unique predication
#SENTENCE_ID: Foreign key to the SENTENCE table
#PMID: The PubMed identifier of the cita... | {
"repo_name": "MRCIEU/melodi",
"path": "semmeddb-index/scripts/index-semmeddb.py",
"copies": "1",
"size": "8102",
"license": "mit",
"hash": 2650100808046725000,
"line_mean": 35.331838565,
"line_max": 192,
"alpha_frac": 0.6235497408,
"autogenerated": false,
"ratio": 3.015258652772609,
"config_te... |
from elasticsearch import Elasticsearch
from elasticsearch import helpers
from collections import deque
import config
import datetime
import time
import gzip
#SUB_PRED_OBJ and frequency
es = Elasticsearch(
[{'host': config.elastic_host,'port': config.elastic_port}],
)
timeout=300
def get_date():
d = datetime.... | {
"repo_name": "MRCIEU/melodi",
"path": "semmeddb-index/scripts/index-semmeddb_freqs.py",
"copies": "1",
"size": "2998",
"license": "mit",
"hash": -4745889467093277000,
"line_mean": 30.5578947368,
"line_max": 137,
"alpha_frac": 0.6524349566,
"autogenerated": false,
"ratio": 3.07172131147541,
"co... |
from elasticsearch import Elasticsearch
from elasticsearch import helpers
import json
class ESDocIndexer:
"""
This class contains methods for uploading documents into ElasticSearch
"""
CONFIG_ES_ADDRESS = "es_address"
CONFIG_ES_INDEX = "es_index"
CONFIG_ES_MAPPING = "es_mapping_name_prefix"
... | {
"repo_name": "ybotkiller/ybotkiller",
"path": "mrartemev/es_doc_indexer.py",
"copies": "1",
"size": "2463",
"license": "apache-2.0",
"hash": -4333921482759032300,
"line_mean": 30.5769230769,
"line_max": 92,
"alpha_frac": 0.5241575315,
"autogenerated": false,
"ratio": 4.1745762711864405,
"confi... |
from elasticsearch import Elasticsearch
from elasticsearch import helpers
import logging
import hashlib
import time
import math
class ElasticSearchIndexer(object):
"""
Adds records to ElasticSearch
"""
def __init__(self, host, cat_idx='catalog', auto_idx='autocomplete', bulk_size=1000):
"""
... | {
"repo_name": "BCLibraries/bc-lib-search",
"path": "indexer/elasticsearch_indexer.py",
"copies": "1",
"size": "4511",
"license": "mit",
"hash": -6888089790008394000,
"line_mean": 29.0733333333,
"line_max": 99,
"alpha_frac": 0.5530924407,
"autogenerated": false,
"ratio": 4.200186219739292,
"conf... |
from elasticsearch import Elasticsearch
from elasticsearch import helpers
# Grabs data out of ElasticSearch, prepares for usage
# If you want to use data out of multiple ES's
# just create multiple backend objects
class Backend(object):
def __init__(self, host, port):
self.es = Elasticsearch([
... | {
"repo_name": "jkilpatr/Browbeat-ML",
"path": "bml/lib/elastic_backend.py",
"copies": "1",
"size": "3233",
"license": "apache-2.0",
"hash": 2176167833441569000,
"line_mean": 34.1413043478,
"line_max": 78,
"alpha_frac": 0.4488091556,
"autogenerated": false,
"ratio": 4.327978580990629,
"config_te... |
from elasticsearch import Elasticsearch
from elasticsearch import NotFoundError
class Client(object):
def __init__(self):
self.es = Elasticsearch(sniff_on_start=True, sniff_on_connection_fail=True, sniffer_timeout=60)
self.valid = False
self.results_size = 5000
self.div = '\n' + '=... | {
"repo_name": "dchengy/espy",
"path": "elasticshell/elasticclient.py",
"copies": "1",
"size": "3760",
"license": "mit",
"hash": 1448398370796914200,
"line_mean": 36.9797979798,
"line_max": 131,
"alpha_frac": 0.5438829787,
"autogenerated": false,
"ratio": 4.017094017094017,
"config_test": false,... |
from elasticsearch import Elasticsearch
from esengine import Document, StringField, IntegerField, FloatField, DateField, ArrayField, ObjectField
from pprint import pprint
import time
import datetime
from article import *
def print_r(the_object):
print ("CLASS: ", the_object.__class__.__name__, " (BASE CLASS: ", t... | {
"repo_name": "ControCurator/controcurator",
"path": "python_code/models/judgment.py",
"copies": "1",
"size": "1712",
"license": "mit",
"hash": 5817463943238003000,
"line_mean": 29.0526315789,
"line_max": 106,
"alpha_frac": 0.7330607477,
"autogenerated": false,
"ratio": 3.596638655462185,
"conf... |
from elasticsearch import Elasticsearch
from flask import abort
from google.appengine.api import taskqueue
from google.appengine.ext import ndb
from gaend.props import entity_to_props
from state import APP
import certifi
import js
import logging
# Specify elasticsearch url with read-write access in `URL`.
URL = None
... | {
"repo_name": "samedhi/gaend",
"path": "gaend/elastic.py",
"copies": "1",
"size": "2202",
"license": "mit",
"hash": 1920417274313782500,
"line_mean": 28.36,
"line_max": 68,
"alpha_frac": 0.6185286104,
"autogenerated": false,
"ratio": 3.6578073089700998,
"config_test": false,
"has_no_keywords"... |
from elasticsearch import Elasticsearch
from flask import Flask
from flask_restful import reqparse, Api, Resource
class CountryResource(Resource):
def _coordinate_query(self, longitude, latitude):
return {
'query': {
'filtered': {
'filter': {
... | {
"repo_name": "noisebridge/PythonClass",
"path": "guest-talks/20160321-elasticsearch/code/search.py",
"copies": "3",
"size": "1592",
"license": "mit",
"hash": -8097979265327337000,
"line_mean": 30.2156862745,
"line_max": 72,
"alpha_frac": 0.4510050251,
"autogenerated": false,
"ratio": 4.752238805... |
from elasticsearch import Elasticsearch
from fuzzywuzzy import process
from parseRosetta import Task, site
from index_elasticsearch_wikipedia import INDEX_NAME, normalize, \
load_visited, rd, index_wiki_algorithm_entry
from parseWikipedia import get_wiki_page, is_algorithm_page
from impl_languages_deduplication ... | {
"repo_name": "xkxx/algodb",
"path": "AlgorithmNames/index_elasticsearch_rosetta_using_crosswikis.py",
"copies": "1",
"size": "9838",
"license": "mit",
"hash": -2938202815122074000,
"line_mean": 33.8865248227,
"line_max": 75,
"alpha_frac": 0.5920918886,
"autogenerated": false,
"ratio": 3.69988717... |
from elasticsearch import Elasticsearch
from hamcrest import assert_that, instance_of, is_
from microcosm.api import create_object_graph
def test_configure_elasticsearch_client_with_defaults():
"""
Default configuration works and returns client.
"""
graph = create_object_graph(name="test", testing=Tr... | {
"repo_name": "globality-corp/microcosm-elasticsearch",
"path": "microcosm_elasticsearch/tests/test_factories.py",
"copies": "1",
"size": "1437",
"license": "apache-2.0",
"hash": -6352859592371380000,
"line_mean": 28.9375,
"line_max": 76,
"alpha_frac": 0.6485734168,
"autogenerated": false,
"ratio... |
from elasticsearch import Elasticsearch
from models import Page
from settings import *
import re
def search(query, field, start=0, size=100, recommend=False, fuzzy=False, highlight=None):
'''
Perform Elasticsearch index lookup for documents with given parameters
:param query: text to be searched for
... | {
"repo_name": "daeatel/skool",
"path": "skool/search.py",
"copies": "1",
"size": "2342",
"license": "mit",
"hash": -219423082452387620,
"line_mean": 31.0821917808,
"line_max": 98,
"alpha_frac": 0.548676345,
"autogenerated": false,
"ratio": 3.956081081081081,
"config_test": false,
"has_no_keyw... |
from elasticsearch import Elasticsearch
from random import randint
from collections import defaultdict
import scipy.stats as stats
import requests
import time
import re
import subprocess
import config
import gzip
import argparse
import os
import json
def neo4j_connect():
from neo4j.v1 import GraphDatabase,basic_auth
... | {
"repo_name": "MRCIEU/melodi",
"path": "semmeddb-index/scripts/create_compare_graph.py",
"copies": "1",
"size": "8265",
"license": "mit",
"hash": -4201393567919137300,
"line_mean": 48.7891566265,
"line_max": 276,
"alpha_frac": 0.6496067756,
"autogenerated": false,
"ratio": 2.501513317191283,
"c... |
from elasticsearch import Elasticsearch
from random import randint
import scipy.stats as stats
import requests
import time
import re
import subprocess
import config
import gzip
import argparse
#globals
timeout=300
es = Elasticsearch(
[{'host': config.elastic_host,'port': config.elastic_port}],
)
#total number of ... | {
"repo_name": "MRCIEU/melodi",
"path": "semmeddb-index/scripts/run0.py",
"copies": "1",
"size": "6316",
"license": "mit",
"hash": 2600231828083620000,
"line_mean": 26.701754386,
"line_max": 167,
"alpha_frac": 0.6548448385,
"autogenerated": false,
"ratio": 2.6865163760102084,
"config_test": fals... |
from elasticsearch import Elasticsearch
from util import connect_crdb
def compute_hits(es, start, end, cloud_name, level_type):
time_dict = {
"format": "epoch_millis"
}
time_dict["gte"] = start
time_dict["lte"] = end
query_input = {
"query": {
"filtered": {
... | {
"repo_name": "jkilpatr/Browbeat-ML",
"path": "bml/lib/logsummary_uploaddb.py",
"copies": "1",
"size": "2697",
"license": "apache-2.0",
"hash": 5291092314926474000,
"line_mean": 36.4583333333,
"line_max": 75,
"alpha_frac": 0.3904338154,
"autogenerated": false,
"ratio": 4.435855263157895,
"confi... |
from elasticsearch import Elasticsearch
import argparse
import os
import json
import re
def ExportDashboards(es, beat, kibana_index, output_directory):
res = es.search(
index=kibana_index,
doc_type="dashboard",
size=1000)
reg_exp = re.compile(beat + '*', re.IGNORECASE)
for doc in... | {
"repo_name": "phenomenes/varnishbeat",
"path": "vendor/github.com/elastic/beats/dev-tools/export_dashboards.py",
"copies": "1",
"size": "4160",
"license": "bsd-2-clause",
"hash": 109131586540398610,
"line_mean": 29.8148148148,
"line_max": 78,
"alpha_frac": 0.5598557692,
"autogenerated": false,
"... |
from elasticsearch import Elasticsearch
import argparse
import os
import json
import re
def ExportDashboards(es, regex, kibana_index, output_directory):
res = es.search(
index=kibana_index,
doc_type="dashboard",
size=1000)
try:
reg_exp = re.compile(regex, re.IGNORECASE)
ex... | {
"repo_name": "roncohen/apm-server",
"path": "_beats/dev-tools/cmd/dashboards/export_5x_dashboards.py",
"copies": "3",
"size": "3663",
"license": "apache-2.0",
"hash": -8352143207588681000,
"line_mean": 30.3076923077,
"line_max": 119,
"alpha_frac": 0.5629265629,
"autogenerated": false,
"ratio": 4... |
from elasticsearch import Elasticsearch
import argparse
import os
import json
def dump_objects(es, output_directory, doc_type):
res = es.search(
index='.kibana',
doc_type=doc_type,
size=1000)
dir = os.path.join(output_directory, doc_type)
if not os.path.exists(dir):
os.mak... | {
"repo_name": "mohitsethi/cy-es032017",
"path": "beats-dashboards/save/kibana_dump.py",
"copies": "3",
"size": "1225",
"license": "apache-2.0",
"hash": -1718687540520772600,
"line_mean": 28.8780487805,
"line_max": 74,
"alpha_frac": 0.6016326531,
"autogenerated": false,
"ratio": 3.58187134502924,
... |
from elasticsearch import Elasticsearch
import argparse
import os
import json
def dump_objects(es, output_directory, index, doc_type):
res = es.search(
index=index,
doc_type=doc_type,
size=1000)
dir = os.path.join(output_directory, doc_type)
if not os.path.exists(dir):
os.... | {
"repo_name": "sunnygkp10/Collect-System-Metrics",
"path": "beats-dashboards/save/kibana_dump.py",
"copies": "1",
"size": "1351",
"license": "mit",
"hash": -3454001078863326700,
"line_mean": 31.1666666667,
"line_max": 74,
"alpha_frac": 0.6121391562,
"autogenerated": false,
"ratio": 3.555263157894... |
from elasticsearch import Elasticsearch
import config
import json
class Lead(object):
es = Elasticsearch(config.ES_HOSTS)
def __init__(self,data = None):
self.id = None
if data:
for key,val in data.items():
self.__dict__[key] = val
def __getitem__(self,name):
return self.__dict__[name... | {
"repo_name": "russorat/savage-leads",
"path": "admin/models/Lead.py",
"copies": "3",
"size": "1972",
"license": "apache-2.0",
"hash": 8060075502438323000,
"line_mean": 21.1573033708,
"line_max": 49,
"alpha_frac": 0.5552738337,
"autogenerated": false,
"ratio": 3.303182579564489,
"config_test": ... |
from elasticsearch import Elasticsearch
import config
class User(object):
es = Elasticsearch(config.ES_HOSTS)
def __init__(self):
self._id = None
self._email = None
self._fields = ['email','first_name','last_name']
self._deleted_fields = []
def is_authenticated(self):
return True
def is_... | {
"repo_name": "russorat/savage-leads",
"path": "settings/models/User.py",
"copies": "1",
"size": "3396",
"license": "apache-2.0",
"hash": 7354641868505340000,
"line_mean": 21.7919463087,
"line_max": 71,
"alpha_frac": 0.5777385159,
"autogenerated": false,
"ratio": 3.6320855614973264,
"config_tes... |
from elasticsearch import Elasticsearch
import elasticsearch.exceptions
from elasticsearch.helpers import scan
class PrecomputedSuggester(object):
"""Term suggester that serves pre-computed suggestions."""
# Used for mutual information, but reusable. Index format is one document
# per term, with the term ... | {
"repo_name": "nlesc-sherlock/concept-search",
"path": "termsuggester/precomputed.py",
"copies": "1",
"size": "1638",
"license": "apache-2.0",
"hash": -6745808087498769000,
"line_mean": 35.4,
"line_max": 77,
"alpha_frac": 0.6263736264,
"autogenerated": false,
"ratio": 4.084788029925187,
"config... |
from elasticsearch import Elasticsearch
import json
import argparse
import sys
import logging
from datetime import datetime
logger = logging.getLogger('SSLIndexCreator')
logger_format = logging.Formatter('\033[1;32m%(levelname)-5s %(module)s:%(funcName)s():%(lineno)d %(asctime)s\033[0m| '
... | {
"repo_name": "mpars0ns/scansio-sonar-es",
"path": "make_indexes.py",
"copies": "1",
"size": "3448",
"license": "bsd-3-clause",
"hash": -3078422340312430600,
"line_mean": 41.0609756098,
"line_max": 119,
"alpha_frac": 0.688225058,
"autogenerated": false,
"ratio": 3.4514514514514514,
"config_test... |
from elasticsearch import Elasticsearch
import json
import os
import hashlib
from flask import *
from flask.ext.cors import CORS
app = Flask(__name__)
CORS(app)
esport = '10.10.10.15:9200'
@app.route('/get_judge_res/<judge_image_dir>')
def get_judge_res(judge_image_dir):
es = Elasticsearch(esport)
judge_im... | {
"repo_name": "BU-NU-CLOUD-SP16/Container-Safety-Determination",
"path": "flaskAPI/userAPI.py",
"copies": "1",
"size": "2448",
"license": "mit",
"hash": -789498325409446500,
"line_mean": 28.4939759036,
"line_max": 94,
"alpha_frac": 0.5984477124,
"autogenerated": false,
"ratio": 3.233817701453104,... |
from elasticsearch import Elasticsearch
import json
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(__file__)))
from iterate_search import iterate_over_query
import requests
import json
from collections import defaultdict
import phonenumbers
def call_mitie(text):
r = requests.post(url="http... | {
"repo_name": "wgmueller1/unicorn",
"path": "util/bulk/reindex-with-numbers.py",
"copies": "1",
"size": "1267",
"license": "mit",
"hash": 1394538644691708200,
"line_mean": 22.0363636364,
"line_max": 71,
"alpha_frac": 0.636937648,
"autogenerated": false,
"ratio": 3.57909604519774,
"config_test":... |
from elasticsearch import Elasticsearch
import json
def load(s):
try:
print "trying %s" % s
json.loads(s)
except:
print "Couldn't decode `%s`" % s
raise
def main(draft_data):
es_index = 'vtest'
es_type = 'lottery'
inserts = ""
for l in draft_data.split("\n"):
... | {
"repo_name": "crawlik/ezbake-dev-tools",
"path": "migration/examples/draft_lottery.py",
"copies": "2",
"size": "30698",
"license": "apache-2.0",
"hash": 2976117804101388300,
"line_mean": 73.5097087379,
"line_max": 81,
"alpha_frac": 0.5338132777,
"autogenerated": false,
"ratio": 2.604615645681316... |
from elasticsearch import Elasticsearch
import json
from utils import *
from constants import STAGING_NODE1, STAGING_NODE2, MALES, FEMALES
class CreateSummary:
"""
This class will parse specimen, organism, dataset and file indexes data and
create summary data for summary_specimen, summary_organism, summa... | {
"repo_name": "FAANG/faang-portal-backend",
"path": "scripts/create_summary.py",
"copies": "1",
"size": "14588",
"license": "apache-2.0",
"hash": 2587079620810859500,
"line_mean": 43.3404255319,
"line_max": 81,
"alpha_frac": 0.5116534138,
"autogenerated": false,
"ratio": 4.413918305597579,
"con... |
from elasticsearch import Elasticsearch
import json
class Search:
""" API Doc for Python Elasticsearch Client
http://elasticsearch-py.readthedocs.org/en/master/
"""
es = Elasticsearch()
params = {}
def __init__(self, **kargs):
#: highlight some result field
self.params['b... | {
"repo_name": "dbbbit/ninja-search",
"path": "search/search.py",
"copies": "1",
"size": "1194",
"license": "mit",
"hash": 8332057655185894000,
"line_mean": 22.4117647059,
"line_max": 58,
"alpha_frac": 0.4840871022,
"autogenerated": false,
"ratio": 4.117241379310345,
"config_test": false,
"has... |
from elasticsearch import Elasticsearch
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
plt.ioff()
from matplotlib.backends.backend_pdf import PdfPages
from matplotlib.dates import AutoDateLocator, AutoDateFormatter
import numpy as np
from scipy import stats
import datetime as dt
import math
imp... | {
"repo_name": "robogen/CMS-Mining",
"path": "RunScripts/es_network.py",
"copies": "1",
"size": "33018",
"license": "mit",
"hash": 1288576328168376600,
"line_mean": 69.101910828,
"line_max": 163,
"alpha_frac": 0.376037313,
"autogenerated": false,
"ratio": 4.917783735478105,
"config_test": false,... |
from elasticsearch import Elasticsearch
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
plt.ioff()
from matplotlib.backends.backend_pdf import PdfPages
from matplotlib.dates import AutoDateLocator, AutoDateFormatter
import numpy as np
from scipy import stats
import datetime as dt
import math
imp... | {
"repo_name": "robogen/CMS-Mining",
"path": "RunScripts/es_lumosity.py",
"copies": "1",
"size": "6813",
"license": "mit",
"hash": -8208051046587918000,
"line_mean": 40.0421686747,
"line_max": 130,
"alpha_frac": 0.4450315573,
"autogenerated": false,
"ratio": 4.1874615857406265,
"config_test": fa... |
from elasticsearch import Elasticsearch
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from matplotlib.dates import AutoDateLocator, AutoDateFormatter
import numpy as np
import datetime as dt
import math
import json
import pprint
with open("config", "r+") as txt:
contents = li... | {
"repo_name": "robogen/CMS-Mining",
"path": "RunScripts/es_keventHr.py",
"copies": "1",
"size": "4910",
"license": "mit",
"hash": 5776758051661500000,
"line_mean": 33.8226950355,
"line_max": 97,
"alpha_frac": 0.4568228106,
"autogenerated": false,
"ratio": 4.014717906786591,
"config_test": false... |
from elasticsearch import Elasticsearch
import mwclient as mw
import redis
from collections import Counter
from index_elasticsearch_wikipedia import normalize
def printTaskContent(task, site):
taskPage = site.Pages[task.decode('utf8')]
print "Task Name:", taskPage.page_title.encode('utf8')
print "Summary:"... | {
"repo_name": "xkxx/algodb",
"path": "AlgorithmNames/eval_verify.py",
"copies": "1",
"size": "2714",
"license": "mit",
"hash": 418199011711126140,
"line_mean": 30.5581395349,
"line_max": 114,
"alpha_frac": 0.5865880619,
"autogenerated": false,
"ratio": 3.692517006802721,
"config_test": false,
... |
from elasticsearch import Elasticsearch
import redis
# get all languages existed in elasticsearch
# output to a file
def get_rosetta_impl_languages(filename='impl_lang.txt'):
es = Elasticsearch([{'host': 'localhost', 'port': 9200}])
body = {'query': {'match_all': {}}}
result = es.search(index='throwtable'... | {
"repo_name": "xkxx/algodb",
"path": "AlgorithmNames/impl_languages_deduplication.py",
"copies": "1",
"size": "2746",
"license": "mit",
"hash": 4668352197187767000,
"line_mean": 35.6133333333,
"line_max": 78,
"alpha_frac": 0.6179898034,
"autogenerated": false,
"ratio": 3.7616438356164386,
"conf... |
from elasticsearch import Elasticsearch
import requests
import redis
import wikipedia as wiki
from manual_tagger import printPkgContent, getUserInput, normalize
from collections import Counter
from index_pkg import get_links, get_npm_pkg
TRUE_POSITIVE = 'True-Pos'
FALSE_POSITIVE = 'False-Pos'
TRUE_NEGATIVE = 'True-Neg... | {
"repo_name": "xkxx/algodb",
"path": "lang-pkgs/npm/eval_verify_online.py",
"copies": "1",
"size": "2752",
"license": "mit",
"hash": 8952996123548328000,
"line_mean": 31.3764705882,
"line_max": 114,
"alpha_frac": 0.5875726744,
"autogenerated": false,
"ratio": 3.7139001349527665,
"config_test": ... |
from elasticsearch import Elasticsearch
import requests
def download_content():
url = 'https://raw.githubusercontent.com/johan/world.geo.json/master/countries.geo.json'
return requests.get(url)
def create_mapping():
mapping = {
'properties': {
'geometry': {
'type': 'g... | {
"repo_name": "PyClass/PyClassLessons",
"path": "guest-talks/20160321-elasticsearch/code/index-countries.py",
"copies": "3",
"size": "1302",
"license": "mit",
"hash": -2773314252991205400,
"line_mean": 25.04,
"line_max": 92,
"alpha_frac": 0.6213517665,
"autogenerated": false,
"ratio": 3.993865030... |
from elasticsearch import Elasticsearch
import time
import pprint
import sys
import subprocess
import os
JSON_FILE="/Users/sam/cs410/TEAM_BHP_DATA_TOPARSE/srajend2.json"
INDEX_NAME="srajend2_index"
es=Elasticsearch()
def main():
delete_index(INDEX_NAME)
create_index(INDEX_NAME)
pprint.pprint(es.indices.stats())
... | {
"repo_name": "bourneagain/pythonBytes",
"path": "chartPlot.py",
"copies": "1",
"size": "2138",
"license": "mit",
"hash": -1572455559471912200,
"line_mean": 23.5747126437,
"line_max": 103,
"alpha_frac": 0.6973807297,
"autogenerated": false,
"ratio": 2.8355437665782492,
"config_test": false,
"... |
from elasticsearch import Elasticsearch
import urllib2
import requests
import json
import os
es = Elasticsearch([{'host': 'localhost', 'port': 9200}])
PATH_TO_DATA = os.getcwd()[:-7] + 'data/'
with open(PATH_TO_DATA + 'unique_keywords.json') as data_file:
data = json.load(data_file)
skill_list = []
for skill in d... | {
"repo_name": "Glavin001/VirtualAgent",
"path": "scripts/elasticsearch_test.py",
"copies": "1",
"size": "1755",
"license": "mit",
"hash": 6754610498558668000,
"line_mean": 25.1940298507,
"line_max": 91,
"alpha_frac": 0.6945868946,
"autogenerated": false,
"ratio": 3.4210526315789473,
"config_tes... |
from elasticsearch import Elasticsearch
import uuid
import hashlib
import config
class Login(object):
es = Elasticsearch(config.ES_HOSTS)
def __init__(self,e=None,s=uuid.uuid4().hex,p=None):
self._id = None
self._email = e
self._salt = s
self._password = p
@property
def id(self):
return s... | {
"repo_name": "russorat/savage-leads",
"path": "admin/models/Login.py",
"copies": "3",
"size": "2668",
"license": "apache-2.0",
"hash": 3066877019129325000,
"line_mean": 24.1698113208,
"line_max": 110,
"alpha_frac": 0.5944527736,
"autogenerated": false,
"ratio": 3.44702842377261,
"config_test":... |
from elasticsearch import Elasticsearch
import wikipedia as wiki
from nltk import tokenize
import redis
import parseWikipedia as pw
from cassandra.cluster import Cluster
cluster = Cluster(['127.0.0.1']) # localhost
session = cluster.connect() # default key space
session.set_keyspace('crosswikis')
es = Elasticsear... | {
"repo_name": "xkxx/algodb",
"path": "AlgorithmNames/index_elasticsearch_wikipedia.py",
"copies": "1",
"size": "6384",
"license": "mit",
"hash": -5256325916524951000,
"line_mean": 32.6,
"line_max": 77,
"alpha_frac": 0.5847431078,
"autogenerated": false,
"ratio": 3.784232365145228,
"config_test"... |
from elasticsearch import Elasticsearch
# connection to elasticsearch
es = Elasticsearch(['http://controcurator.org/ess/'],port=80)
# query to retrieve articles from the database
# this should be updated later to only retrieve articles that do not have a score yet
query = {
"query": {
"bool": {
... | {
"repo_name": "ControCurator/controcurator",
"path": "cronjobs/controversy.py",
"copies": "1",
"size": "1846",
"license": "mit",
"hash": -3239088001752461000,
"line_mean": 27.84375,
"line_max": 108,
"alpha_frac": 0.5650054171,
"autogenerated": false,
"ratio": 3.721774193548387,
"config_test": f... |
from elasticsearch import Elasticsearch
def get_ids_with_response_status(status):
es = Elasticsearch(["http://localhost:9200"])
total_num_docs = es.count(index="gor", body={"query": {"match_all": {}}})['count']
print "The total number of docs is: " + str(total_num_docs)
# this number is the total... | {
"repo_name": "cemkoc/GorReplay_and_Log",
"path": "id_getter.py",
"copies": "1",
"size": "1273",
"license": "apache-2.0",
"hash": -4058658243675348000,
"line_mean": 66,
"line_max": 207,
"alpha_frac": 0.6095836606,
"autogenerated": false,
"ratio": 3.3237597911227152,
"config_test": false,
"has... |
from elasticsearch import Elasticsearch
from django.conf import settings
DEFAULT_URLS = [settings.ELASTICSEARCH_URL]
DEFAULT_TIMEOUT = 5
"""
Copied from https://github.com/mozilla/elasticutils/blob/master/elasticutils/__init__.py
"""
def _build_key(urls, timeout, **settings):
# Order the settings by key and th... | {
"repo_name": "michaupl/braincloud",
"path": "brainblog/__init__.py",
"copies": "1",
"size": "2885",
"license": "apache-2.0",
"hash": -1963461057736171500,
"line_mean": 31.0666666667,
"line_max": 88,
"alpha_frac": 0.7039861352,
"autogenerated": false,
"ratio": 3.74189364461738,
"config_test": f... |
from elasticsearch import Elasticsearch
from ezbake.base.thriftapi.ttypes import Visibility
from ezbake.thrift.utils import serialize_to_base64
from ezbake.thrift.utils import deserialize_from_base64
class EsMigrator(object):
def __init__(self, es, es_index):
self._es = es
self._es_index = es_inde... | {
"repo_name": "infochimps-forks/ezbake-dev-tools",
"path": "migration/lib/ezbake/migration/elastic/visibility.py",
"copies": "2",
"size": "1400",
"license": "apache-2.0",
"hash": -1943707078977723100,
"line_mean": 34.8974358974,
"line_max": 74,
"alpha_frac": 0.4842857143,
"autogenerated": false,
... |
from elasticsearch import Elasticsearch
mappingJson = {
"behave": {
"_timestamp": {
"enabled": True,
"path": "date"
},
"properties": {
"date": {
"type": "date"
},
"duration": {
"type": "string"
... | {
"repo_name": "avidas/reliability-demo",
"path": "db/create_es_mapping.py",
"copies": "1",
"size": "1248",
"license": "mit",
"hash": -3126946789447305700,
"line_mean": 23.4705882353,
"line_max": 63,
"alpha_frac": 0.3621794872,
"autogenerated": false,
"ratio": 4.378947368421053,
"config_test": f... |
from elasticsearch import Elasticsearch
class ElasticSearchFactory(object):
def __init__(self, host: str, port: int):
self.host = host
self.port = port
def create(self) -> Elasticsearch:
return Elasticsearch(
[{'host': self.host, 'port': self.port}]
)
class Elast... | {
"repo_name": "ssola/python-flask-microservice",
"path": "services/elasticsearch.py",
"copies": "1",
"size": "1938",
"license": "apache-2.0",
"hash": -8631039421333022000,
"line_mean": 25.1891891892,
"line_max": 65,
"alpha_frac": 0.5067079463,
"autogenerated": false,
"ratio": 4.414578587699316,
... |
from elasticsearch import Elasticsearch
class SearchInterface:
def __init__(self):
self._es = Elasticsearch()
self._db = "spud"
def search(self, field, search):
api_collections = [
"api_politicians",
"api_influencers",
"api_government",
... | {
"repo_name": "spudmind/undertheinfluence",
"path": "data_interfaces/search_interface.py",
"copies": "1",
"size": "1120",
"license": "mit",
"hash": 2491567073749356000,
"line_mean": 25.0465116279,
"line_max": 71,
"alpha_frac": 0.3991071429,
"autogenerated": false,
"ratio": 4.341085271317829,
"c... |
from elasticsearch import Elasticsearch
def es_create_indexes(data_index_name='data', metadata_index_name='metadata',
summary_index_name='summary', delete_previous_indexes=True, **kwargs):
"""
Creation of ElasticSearch Indexes to save a WaterFrame object.
Parameters
----------
... | {
"repo_name": "rbardaji/oceanobs",
"path": "mooda/util/es_create_indexes.py",
"copies": "1",
"size": "5877",
"license": "mit",
"hash": -4617548500380876000,
"line_mean": 41.897810219,
"line_max": 92,
"alpha_frac": 0.4631614769,
"autogenerated": false,
"ratio": 4.65689381933439,
"config_test": f... |
from elasticsearch import Elasticsearch
# Find the stack on which we want to store the database connection.
# Starting with Flask 0.9, the _app_ctx_stack is the correct one,
# before that we need to use the _request_ctx_stack.
try:
from flask import _app_ctx_stack as stack
except ImportError:
from flask impor... | {
"repo_name": "chiangf/Flask-Elasticsearch",
"path": "flask_elasticsearch.py",
"copies": "1",
"size": "1898",
"license": "mit",
"hash": 1151484681412947700,
"line_mean": 37.7346938776,
"line_max": 106,
"alpha_frac": 0.6059009484,
"autogenerated": false,
"ratio": 4.199115044247788,
"config_test"... |
from elasticsearch import Elasticsearch, NotFoundError,helpers
from datetime import date,datetime
from dateutil import parser
from uuid import uuid4
import json
import copy
import logging
from .config import es,default_index,bulk_chunk_size,logger
class relationship(object):
def __init__(self,ref_model,**kwargs):
s... | {
"repo_name": "thequbit/Velociwrapper",
"path": "velociwrapper/relationship.py",
"copies": "1",
"size": "2908",
"license": "bsd-3-clause",
"hash": -7064703041746338000,
"line_mean": 24.7345132743,
"line_max": 98,
"alpha_frac": 0.65130674,
"autogenerated": false,
"ratio": 3.1437837837837836,
"co... |
from elasticsearch import Elasticsearch, RequestsHttpConnection
from aws_requests_auth.aws_auth import AWSRequestsAuth
from urlparse import urlparse
class Connection(Elasticsearch):
def __init__(self, connection_string, access_key=None, secret_key=None, region=None, upper_result_limit=None):
"""
... | {
"repo_name": "not-nexus/shelf",
"path": "shelf/search/connection.py",
"copies": "2",
"size": "2925",
"license": "mit",
"hash": -4502617228266831400,
"line_mean": 33.4117647059,
"line_max": 114,
"alpha_frac": 0.5623931624,
"autogenerated": false,
"ratio": 4.326923076923077,
"config_test": false... |
from elasticsearch import Elasticsearch, RequestsHttpConnection
from elasticsearch.helpers import bulk
from requests_aws4auth import AWS4Auth
from app.models import AWSKey
from elasticsearch_dsl.connections import connections
from app import app
import elasticsearch_dsl as dsl
try:
es_aws_auth = app.config['ES_AUT... | {
"repo_name": "giubil/trackit",
"path": "api/files/api/app/es/__init__.py",
"copies": "1",
"size": "3227",
"license": "apache-2.0",
"hash": 4443255516569166000,
"line_mean": 34.0869565217,
"line_max": 130,
"alpha_frac": 0.6947629377,
"autogenerated": false,
"ratio": 3.447649572649573,
"config_t... |
from elasticsearch import Elasticsearch, RequestsHttpConnection
import json
from enum import Enum
import copy
connections = {}
class AuthType(Enum):
BY_LOGIN = "byLogin"
BY_HOST = "byHost"
class NotExecutedException(Exception):
pass
class InvalidResponseException(Exception):
pass
class Request:... | {
"repo_name": "skyhound/elastic-tools",
"path": "elastictools/elasticclient/elasticclient.py",
"copies": "1",
"size": "4540",
"license": "mit",
"hash": 6798015939918067000,
"line_mean": 30.3103448276,
"line_max": 118,
"alpha_frac": 0.5914096916,
"autogenerated": false,
"ratio": 4.138559708295351,... |
from elasticsearch import Elasticsearch,RequestsHttpConnection,NotFoundError
from flask import url_for
import config
import json
es = Elasticsearch(config.ES_HOSTS,connection_class=RequestsHttpConnection)
def create(the_data,the_index,the_doc_type):
try:
results = es.create(index=the_index,
doc_type=the_d... | {
"repo_name": "russorat/savage-leads",
"path": "api/models/esutils.py",
"copies": "1",
"size": "3368",
"license": "apache-2.0",
"hash": 6599539799202733000,
"line_mean": 31.0761904762,
"line_max": 95,
"alpha_frac": 0.5789786223,
"autogenerated": false,
"ratio": 3.378134403209629,
"config_test":... |
from elasticsearch import Elasticsearch, TransportError
from datetime import datetime
import logging
import os
def get_env_variable(var_name, default=None):
""" Get the environment variable or return an exception"""
try:
return os.environ[var_name]
except KeyError:
return default
class ESH... | {
"repo_name": "chop-dbhi/django-pdfappend",
"path": "pdfappend/handlers.py",
"copies": "1",
"size": "1042",
"license": "bsd-3-clause",
"hash": 1185645280387179000,
"line_mean": 33.7666666667,
"line_max": 156,
"alpha_frac": 0.6170825336,
"autogenerated": false,
"ratio": 3.6433566433566433,
"conf... |
from elasticsearch import Elasticsearch, TransportError
from elasticsearch.helpers import scan
from elasticsearch_xpack import XPackClient
import requests
import pandas as pd
import numpy as np
import re
from ipaddress import IPv4Address as ipv4, AddressValueError
import time
from bokeh.plotting import figure, output_f... | {
"repo_name": "canfar/cadcstats",
"path": "svc_plots/advancedsearch.py",
"copies": "1",
"size": "15465",
"license": "mit",
"hash": -6569665777486041000,
"line_mean": 32.8424507659,
"line_max": 640,
"alpha_frac": 0.5444552215,
"autogenerated": false,
"ratio": 2.632788559754852,
"config_test": fa... |
from elasticsearch import Elasticsearch, TransportError
from elasticsearch.helpers import scan
import requests
import pandas as pd
import numpy as np
import re
from ipaddress import IPv4Address as ipv4, AddressValueError
import time
from bokeh.plotting import figure, output_file, show, save
from bokeh.models import Fun... | {
"repo_name": "canfar/cadcstats",
"path": "svc_plots/tomcat_old.py",
"copies": "1",
"size": "24867",
"license": "mit",
"hash": -303266405745494340,
"line_mean": 30.4784810127,
"line_max": 237,
"alpha_frac": 0.4775807295,
"autogenerated": false,
"ratio": 2.7341396371632767,
"config_test": false,... |
from elasticsearch import Elasticsearch, TransportError
from pecan import conf
es_client = None
def init(server_url):
global es_client
es_client = Elasticsearch(server_url)
def server_is_reachable():
res = es_client.info()
return res.get('status') == 200
def refresh():
es_client.indices.refre... | {
"repo_name": "greghaynes/Mailase",
"path": "mailase/search/dbapi.py",
"copies": "1",
"size": "1231",
"license": "apache-2.0",
"hash": -7581252185246029000,
"line_mean": 26.9772727273,
"line_max": 69,
"alpha_frac": 0.5190901706,
"autogenerated": false,
"ratio": 4.0627062706270625,
"config_test"... |
from elasticsearch import Elasticsearch, TransportError
from . import settings as es_settings
from .exceptions import MissingObjectError
from .utils import queryset_iterator
class ElasticsearchTypeMixin(object):
queryset_ordering = 'pk'
queryset_limit = 100
bulk_index_limit = 100
@classmethod
de... | {
"repo_name": "jaddison/django-simple-elasticsearch",
"path": "simple_elasticsearch/mixins.py",
"copies": "1",
"size": "4445",
"license": "bsd-3-clause",
"hash": -3960702170107745000,
"line_mean": 26.2699386503,
"line_max": 109,
"alpha_frac": 0.5460067492,
"autogenerated": false,
"ratio": 4.34931... |
from elasticsearch import Elasticsearch # type: ignore
from elasticsearch.client import IndicesClient # type: ignore
from elasticsearch.helpers import bulk # type: ignore
import logging
from config import CONFIG_DICT
LOGGER = logging.getLogger(__name__)
ELASTICSEARCH_NODES = [CONFIG_DICT['ELASTICS... | {
"repo_name": "LandRegistry/digital-register-elasticsearch-updater",
"path": "service/es_utils.py",
"copies": "1",
"size": "1867",
"license": "mit",
"hash": -4500806609747478000,
"line_mean": 26.0579710145,
"line_max": 96,
"alpha_frac": 0.6443492234,
"autogenerated": false,
"ratio": 3.63937621832... |
from elasticsearch import helpers, Elasticsearch
from iterate_search import iterate_over_query
es = Elasticsearch(timeout=10000)
import csv
from collections import defaultdict
# Read and prepare dictionary of entities
entities = {}
with open('pathfinder.csv', 'rb') as f:
reader = csv.reader(f)
h = {x: i for i,... | {
"repo_name": "wgmueller1/unicorn",
"path": "util/bulk/entities/grab_entities.py",
"copies": "1",
"size": "1815",
"license": "mit",
"hash": 2587738307936831500,
"line_mean": 26.0895522388,
"line_max": 76,
"alpha_frac": 0.5922865014,
"autogenerated": false,
"ratio": 3.63,
"config_test": false,
... |
from elasticsearch import helpers
from elasticsearch.exceptions import NotFoundError
def query(es, query=None, index=None, doc_type=None):
rs = es.search(body=query, index=index, doc_type=doc_type)
rs = rs or {}
hits = rs.get("hits", {}).get("hits", [])
for hit in list(hits):
ret = hit.get("_s... | {
"repo_name": "jgontrum/jgsnippets",
"path": "jgsnippets/elasticsearch/elasticsearch.py",
"copies": "1",
"size": "1649",
"license": "mit",
"hash": 5225458342547314000,
"line_mean": 26.9661016949,
"line_max": 75,
"alpha_frac": 0.5591267435,
"autogenerated": false,
"ratio": 3.2019417475728154,
"c... |
from elasticsearch import TransportError
from flask import current_app, url_for
from dmutils.timing import logged_duration_for_external_request
import app.mapping
from app.main.services.response_formatters import convert_es_status, convert_es_results, generate_pagination_links
from app.main.services.query_builder imp... | {
"repo_name": "alphagov/digitalmarketplace-search-api",
"path": "app/main/services/search_service.py",
"copies": "1",
"size": "8408",
"license": "mit",
"hash": -7190601631743394000,
"line_mean": 36.7040358744,
"line_max": 116,
"alpha_frac": 0.6197668887,
"autogenerated": false,
"ratio": 3.9106976... |
from elasticsearch_metrics import metrics
from django.db import models
class MetricMixin(object):
@classmethod
def _get_id_to_count(cls, size, metric_field, count_field, after=None):
"""Performs the elasticsearch aggregation for get_top_by_count. Return a
dict mapping ids to summed counts. If ... | {
"repo_name": "caseyrollins/osf.io",
"path": "osf/metrics.py",
"copies": "1",
"size": "4956",
"license": "apache-2.0",
"hash": -7632784198490726000,
"line_mean": 37.4186046512,
"line_max": 103,
"alpha_frac": 0.5978611784,
"autogenerated": false,
"ratio": 4.150753768844221,
"config_test": false,... |
from elasticstack.backends import ConfigurableElasticBackend, \
ConfigurableElasticSearchEngine
class ICEkitConfigurableElasticBackend(ConfigurableElasticBackend):
"""
ElasticSearch dropped support for facets after version 1 and forced users
to use aggregations instead, but Haystack as of 2.6.1 does n... | {
"repo_name": "ic-labs/django-icekit",
"path": "icekit/utils/search/backends.py",
"copies": "1",
"size": "4541",
"license": "mit",
"hash": -4211702807975395300,
"line_mean": 43.9603960396,
"line_max": 106,
"alpha_frac": 0.5269764369,
"autogenerated": false,
"ratio": 4.460707269155206,
"config_t... |
# From elasticstack https://github.com/bennylope/elasticstack
from django.conf import settings
from haystack.backends.elasticsearch_backend import \
ElasticsearchSearchBackend, ElasticsearchSearchEngine
class ConfigurableElasticBackend(ElasticsearchSearchBackend):
"""
Extends the Haystack ElasticSearc... | {
"repo_name": "bennylope/ciafactbook",
"path": "factbook/search_backends.py",
"copies": "1",
"size": "1723",
"license": "bsd-2-clause",
"hash": 5487560000274019000,
"line_mean": 45.5675675676,
"line_max": 114,
"alpha_frac": 0.7051654092,
"autogenerated": false,
"ratio": 4.151807228915662,
"conf... |
from elavonvtpv.enum import CVNIndicator
from xml.etree import ElementTree as ETree
class CreditCard:
def __init__(self, cvn_indicator, number, expiry, name, card_type, cvn=None):
"""
Defines a CreditCard object
:param cvn_indicator: CVNIndicator enum object indicating the presence or lack... | {
"repo_name": "jros99/elavontpv",
"path": "elavonvtpv/CreditCard.py",
"copies": "1",
"size": "1803",
"license": "mit",
"hash": -3298155186099538000,
"line_mean": 35.06,
"line_max": 111,
"alpha_frac": 0.6361619523,
"autogenerated": false,
"ratio": 3.9366812227074237,
"config_test": false,
"has... |
from elavonvtpv.enum import CVNIndicator
from xml.etree import ElementTree as ETree
class Mpi:
def __init__(self, eci, cavv=None, xid=None):
"""
Defines a Mpi object
:param cavv: the CAVV or UCAF value necessary for the authorization request
:param xid: the XID field necessary for ... | {
"repo_name": "jros99/elavontpv",
"path": "elavonvtpv/Mpi.py",
"copies": "1",
"size": "1096",
"license": "mit",
"hash": -4527388785493552600,
"line_mean": 30.3142857143,
"line_max": 104,
"alpha_frac": 0.6076642336,
"autogenerated": false,
"ratio": 3.792387543252595,
"config_test": false,
"has... |
from eLCS.Constants import cons
from eLCS.Classifier import Classifier
import random
import copy
class ClassifierSet(object):
"""This module handles all the classifier sets
This includes the population, match set and correct sets along with mechanisms and
heuristics that act on these sets.
This cla... | {
"repo_name": "ScottMcCormack/CITS4404",
"path": "eLCS/ClassifierSet.py",
"copies": "1",
"size": "29824",
"license": "mit",
"hash": -273580331410028960,
"line_mean": 40.7703081232,
"line_max": 192,
"alpha_frac": 0.4912486588,
"autogenerated": false,
"ratio": 4.746777017348401,
"config_test": fa... |
from eLCS.Constants import cons
import random
import copy
import math
class Classifier(object):
"""This module defines an individual classifier within the rule population, along with all respective parameters.
Also included are classifier-level methods, including constructors(covering, copy, reboot)
matc... | {
"repo_name": "ScottMcCormack/CITS4404",
"path": "eLCS/Classifier.py",
"copies": "1",
"size": "35291",
"license": "mit",
"hash": -4136821426978305000,
"line_mean": 56.5709624796,
"line_max": 217,
"alpha_frac": 0.4836077187,
"autogenerated": false,
"ratio": 5.118346627991298,
"config_test": fals... |
from eLCS.Constants import cons
import random
class Prediction(object):
"""Given a match set, this module uses a voting scheme to select the phenotype prediction.
Set up to handle both discrete and continuous phenotypes.
Also set up to try and handle prediction ties if possible.
"""
def __init__... | {
"repo_name": "ScottMcCormack/CITS4404",
"path": "eLCS/Prediction.py",
"copies": "1",
"size": "5753",
"license": "mit",
"hash": 344756705830244540,
"line_mean": 44.2992125984,
"line_max": 179,
"alpha_frac": 0.4943507735,
"autogenerated": false,
"ratio": 4.929734361610969,
"config_test": false,
... |
from election_board import *
from paillier import *
from counting_authority import *
import blind_signature as bs
class VotingException(Exception):
pass
@Singleton
class BulletinBoard():
def __init__(self):
self.eb = ElectionBoard.Instance()
self.ca = CountingAuthority.Instance()
## {... | {
"repo_name": "kelleyb/CryptoProject",
"path": "bulletin_board.py",
"copies": "1",
"size": "1263",
"license": "mit",
"hash": 8861701255220807000,
"line_mean": 28.3720930233,
"line_max": 102,
"alpha_frac": 0.6342042755,
"autogenerated": false,
"ratio": 3.53781512605042,
"config_test": false,
"... |
from ElectionSimulation.Models.PStation import *
from ElectionSimulation.Models.CTract import *
from ElectionSimulation.Models.Expenses import *
from ElectionSimulation.Models.Link import *
def list_data():
'''
'''
expenses_list = []
expenses = open('DummyExpense.csv', 'r')
#Skip head... | {
"repo_name": "CSC301H-Fall2013/ElectionSimulation",
"path": "Code/ElectionSimulationInstaller/ElectionSimulation/setup.py",
"copies": "2",
"size": "2066",
"license": "mit",
"hash": -5529177581197157000,
"line_mean": 28.5142857143,
"line_max": 196,
"alpha_frac": 0.5798644724,
"autogenerated": false... |
from elections.views import SoulMateDetailView
from votai_theme.calculator import YQSCalculator
from django.http import JsonResponse
from candidator.models import TakenPosition
from votai_theme.models import AnswerValue, ExtraInfoTopic
from sorl.thumbnail import get_thumbnail
from django.views.decorators.clickjacking i... | {
"repo_name": "YoQuieroSaber/votai-theme",
"path": "votai_theme/views.py",
"copies": "1",
"size": "4286",
"license": "bsd-3-clause",
"hash": 2138508534730437000,
"line_mean": 42.7346938776,
"line_max": 133,
"alpha_frac": 0.5529631358,
"autogenerated": false,
"ratio": 4.5068349106204,
"config_te... |
from ElectoralAddress.AimsApi import *
class ResolutionData( object ):
'''
'''
def __init__(self, href):
""" ... """
self.href = href
self.load( )
#possibly no longer require the majority of the below functions
def version(self): return str(self.version)
... | {
"repo_name": "SPlanzer/AIMS",
"path": "ElectoralAddress/ResolutionData.py",
"copies": "1",
"size": "10206",
"license": "bsd-3-clause",
"hash": 4401139112473695000,
"line_mean": 42.3739130435,
"line_max": 150,
"alpha_frac": 0.5648638056,
"autogenerated": false,
"ratio": 4.21039603960396,
"confi... |
from Electrodomestico import Electrodomestico
class Refrigerador(Electrodomestico):
"""description of class"""
__pies = ''
__escarcha= False
__temperatura = 0
def __init__(self,color,precio,sku,fecha_creacion,pais_de_origen,marca,pies,escarcha,temperatura):
super().__init__(color,precio,s... | {
"repo_name": "AnhellO/DAS_Sistemas",
"path": "Ago-Dic-2017/Luis Zúñiga/Primer Parcial/Parte 1/Refrigerador.py",
"copies": "1",
"size": "1199",
"license": "mit",
"hash": 1512013985824889600,
"line_mean": 26.8837209302,
"line_max": 105,
"alpha_frac": 0.5826377295,
"autogenerated": false,
"ratio": ... |
from electroncash.i18n import _
from electroncash.plugins import run_hook
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets import QFileDialog
from util import ButtonsTextEdit, MessageBoxMixin
class ShowQRTextEdit(ButtonsTextEdit):
def __init__(self, text=None):
ButtonsTextEdit.... | {
"repo_name": "molecular/electrum",
"path": "gui/qt/qrtextedit.py",
"copies": "1",
"size": "1997",
"license": "mit",
"hash": -7785214052559712000,
"line_mean": 29.2575757576,
"line_max": 79,
"alpha_frac": 0.6034051077,
"autogenerated": false,
"ratio": 3.6913123844731976,
"config_test": false,
... |
from electroncash.i18n import _
from electroncash.util import print_error
from electroncash.plugins import run_hook
from electroncash_gui.qt.util import EnterButton, Buttons, CloseButton, OkButton, CancelButton, WindowModalDialog, WWLabel
from PyQt5.QtCore import Qt, pyqtSignal
from PyQt5.QtWidgets import QPushButton... | {
"repo_name": "fyookball/electrum",
"path": "plugins/satochip/qt.py",
"copies": "1",
"size": "12630",
"license": "mit",
"hash": -908402560966706300,
"line_mean": 38.471875,
"line_max": 153,
"alpha_frac": 0.5867775139,
"autogenerated": false,
"ratio": 3.691902952353113,
"config_test": false,
"... |
from electrum_arg.i18n import _
from electrum_arg.plugins import run_hook
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from util import ButtonsTextEdit, MessageBoxMixin
class ShowQRTextEdit(ButtonsTextEdit):
def __init__(self, text=None):
ButtonsTextEdit.__init__(self, text)
self.setRead... | {
"repo_name": "argentumproject/electrum-arg",
"path": "gui/qt/qrtextedit.py",
"copies": "1",
"size": "1952",
"license": "mit",
"hash": -4589546465749177300,
"line_mean": 29.5,
"line_max": 79,
"alpha_frac": 0.5978483607,
"autogenerated": false,
"ratio": 3.669172932330827,
"config_test": false,
... |
from electrum_cesc.i18n import _
from electrum_cesc.plugins import run_hook
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from util import ButtonsTextEdit, MessageBoxMixin
class ShowQRTextEdit(ButtonsTextEdit):
def __init__(self, text=None):
ButtonsTextEdit.__init__(self, text)
self.setRe... | {
"repo_name": "Marcdnd/electrum-cesc",
"path": "gui/qt/qrtextedit.py",
"copies": "1",
"size": "1928",
"license": "mit",
"hash": -517396944279940400,
"line_mean": 29.125,
"line_max": 79,
"alpha_frac": 0.59906639,
"autogenerated": false,
"ratio": 3.665399239543726,
"config_test": false,
"has_no... |
from electrum_cesc.util import print_error
import httplib, urllib
import socket
import hashlib
import json
from urlparse import urlparse, parse_qs
try:
import PyQt4
except Exception:
sys.exit("Error: Could not import PyQt4 on Linux systems, you may try 'sudo apt-get install python-qt4'")
from PyQt4.QtGui impo... | {
"repo_name": "Marcdnd/electrum-cesc",
"path": "plugins/labels.py",
"copies": "1",
"size": "8711",
"license": "mit",
"hash": -903330742356197800,
"line_mean": 36.5474137931,
"line_max": 455,
"alpha_frac": 0.6065893698,
"autogenerated": false,
"ratio": 4.078183520599251,
"config_test": false,
... |
from electrum_dgb.i18n import _
from electrum_dgb.plugins import run_hook
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from util import ButtonsTextEdit, MessageBoxMixin
class ShowQRTextEdit(ButtonsTextEdit):
def __init__(self, text=None):
ButtonsTextEdit.__init__(self, text)
self.setRead... | {
"repo_name": "protonn/Electrum-Cash",
"path": "gui/qt/qrtextedit.py",
"copies": "1",
"size": "1925",
"license": "mit",
"hash": 3058422624878032000,
"line_mean": 29.078125,
"line_max": 79,
"alpha_frac": 0.5984415584,
"autogenerated": false,
"ratio": 3.659695817490494,
"config_test": false,
"h... |
from electrum.i18n import _
from electrum.plugins import run_hook
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from util import ButtonsTextEdit, MessageBoxMixin
class ShowQRTextEdit(ButtonsTextEdit):
def __init__(self, text=None):
ButtonsTextEdit.__init__(self, text)
self.setReadOnly(1)
... | {
"repo_name": "procrasti/electrum",
"path": "gui/qt/qrtextedit.py",
"copies": "12",
"size": "1913",
"license": "mit",
"hash": 7169654296751385000,
"line_mean": 28.890625,
"line_max": 79,
"alpha_frac": 0.5974908521,
"autogenerated": false,
"ratio": 3.7001934235976788,
"config_test": false,
"ha... |
from electrum import keystore
from electrum import mnemonic
from electrum import old_mnemonic
from electrum.util import bh2u, bfh
from electrum.bitcoin import is_new_seed
from electrum.version import SEED_PREFIX_SW
from . import SequentialTestCase
from .test_wallet_vertical import UNICODE_HORROR
SEED_WORDS_JAPANESE ... | {
"repo_name": "cryptapus/electrum",
"path": "electrum/tests/test_mnemonic.py",
"copies": "1",
"size": "4591",
"license": "mit",
"hash": -2652137632083928600,
"line_mean": 48.021978022,
"line_max": 333,
"alpha_frac": 0.7496077113,
"autogenerated": false,
"ratio": 2.5089988751406076,
"config_test... |
from electrum import Wallet
from electrum_gui.kivy.i18n import _
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.core.window import Window
from kivy.clock import Clock
from kivy.factory import Factory
import sys
import threading
from functools import partial
import weakref
from create_restore i... | {
"repo_name": "cryptapus/electrum-uno",
"path": "gui/kivy/uix/dialogs/installwizard.py",
"copies": "7",
"size": "5798",
"license": "mit",
"hash": -1068721829085652400,
"line_mean": 33.5119047619,
"line_max": 118,
"alpha_frac": 0.5739910314,
"autogenerated": false,
"ratio": 4.065918653576437,
"c... |
from electrum.logging import get_logger
_logger = get_logger(__name__)
class SafeTTransport:
@staticmethod
def all_transports():
"""Reimplemented safetlib.transport.all_transports so that we can
enable/disable specific transports.
"""
# NOTE: the bridge and UDP transports ar... | {
"repo_name": "neocogent/electrum",
"path": "electrum/plugins/safe_t/transport.py",
"copies": "3",
"size": "3566",
"license": "mit",
"hash": -8347368136826292000,
"line_mean": 35.0202020202,
"line_max": 92,
"alpha_frac": 0.5616937745,
"autogenerated": false,
"ratio": 4.742021276595745,
"config_... |
from electrum_ltc.logging import get_logger
_logger = get_logger(__name__)
class SafeTTransport:
@staticmethod
def all_transports():
"""Reimplemented safetlib.transport.all_transports so that we can
enable/disable specific transports.
"""
# NOTE: the bridge and UDP transport... | {
"repo_name": "vialectrum/vialectrum",
"path": "electrum_ltc/plugins/safe_t/transport.py",
"copies": "2",
"size": "3570",
"license": "mit",
"hash": -7173743344735001000,
"line_mean": 35.0606060606,
"line_max": 92,
"alpha_frac": 0.5619047619,
"autogenerated": false,
"ratio": 4.728476821192053,
"... |
from electrum_ltc.util import print_stderr, raw_input
from electrum_ltc.logging import get_logger
from .plugin import HardwareHandlerBase
_logger = get_logger(__name__)
class CmdLineHandler(HardwareHandlerBase):
def get_passphrase(self, msg, confirm):
import getpass
print_stderr(msg)
r... | {
"repo_name": "vialectrum/vialectrum",
"path": "electrum_ltc/plugins/hw_wallet/cmdline.py",
"copies": "1",
"size": "1363",
"license": "mit",
"hash": -4191677596339876000,
"line_mean": 25.2115384615,
"line_max": 94,
"alpha_frac": 0.5656639765,
"autogenerated": false,
"ratio": 3.5128865979381443,
... |
from electrum_mona.logging import get_logger
_logger = get_logger(__name__)
class SafeTTransport:
@staticmethod
def all_transports():
"""Reimplemented safetlib.transport.all_transports so that we can
enable/disable specific transports.
"""
# NOTE: the bridge and UDP transpor... | {
"repo_name": "wakiyamap/electrum-mona",
"path": "electrum_mona/plugins/safe_t/transport.py",
"copies": "1",
"size": "3571",
"license": "mit",
"hash": 4316867027860090400,
"line_mean": 35.0707070707,
"line_max": 92,
"alpha_frac": 0.5620274433,
"autogenerated": false,
"ratio": 4.7298013245033115,
... |
from electrum_mona.util import print_stderr, raw_input
from electrum_mona.logging import get_logger
from .plugin import HardwareHandlerBase
_logger = get_logger(__name__)
class CmdLineHandler(HardwareHandlerBase):
def get_passphrase(self, msg, confirm):
import getpass
print_stderr(msg)
... | {
"repo_name": "wakiyamap/electrum-mona",
"path": "electrum_mona/plugins/hw_wallet/cmdline.py",
"copies": "1",
"size": "1364",
"license": "mit",
"hash": -2602241346449591000,
"line_mean": 25.2307692308,
"line_max": 93,
"alpha_frac": 0.5667155425,
"autogenerated": false,
"ratio": 3.5245478036175713... |
# From Electrum
import ecdsa
from ecdsa.curves import SECP256k1
from ecdsa.ellipticcurve import Point
from ecdsa.util import string_to_number, number_to_string
class MyVerifyingKey(ecdsa.VerifyingKey):
@classmethod
def from_signature(klass, sig, recid, h, curve):
""" See http://www.secg.org/download/a... | {
"repo_name": "LedgerHQ/btchip-python",
"path": "btchip/btchipKeyRecovery.py",
"copies": "1",
"size": "1856",
"license": "apache-2.0",
"hash": -6410377356482080000,
"line_mean": 31.5614035088,
"line_max": 83,
"alpha_frac": 0.59375,
"autogenerated": false,
"ratio": 2.873065015479876,
"config_tes... |
from electrum.plugin import hook
from electrum.util import print_msg, raw_input, print_stderr
from electrum.logging import get_logger
from .coldcard import ColdcardPlugin
_logger = get_logger(__name__)
class ColdcardCmdLineHandler:
def get_passphrase(self, msg, confirm):
raise NotImplementedError
... | {
"repo_name": "neocogent/electrum",
"path": "electrum/plugins/coldcard/cmdline.py",
"copies": "2",
"size": "1153",
"license": "mit",
"hash": 1177971594419254800,
"line_mean": 20.7547169811,
"line_max": 60,
"alpha_frac": 0.6548135299,
"autogenerated": false,
"ratio": 3.8178807947019866,
"config_... |
from electrum.util import PrintError
class SafeTTransport(PrintError):
@staticmethod
def all_transports():
"""Reimplemented safetlib.transport.all_transports so that we can
enable/disable specific transports.
"""
# NOTE: the bridge and UDP transports are disabled as they are u... | {
"repo_name": "cryptapus/electrum",
"path": "electrum/plugins/safe_t/transport.py",
"copies": "1",
"size": "3595",
"license": "mit",
"hash": 2474733413713433000,
"line_mean": 36.0618556701,
"line_max": 92,
"alpha_frac": 0.5574408901,
"autogenerated": false,
"ratio": 4.80614973262032,
"config_te... |
from electrum.util import PrintError
class TrezorTransport(PrintError):
@staticmethod
def all_transports():
"""Reimplemented trezorlib.transport.all_transports so that we can
enable/disable specific transports.
"""
try:
# only to detect trezorlib version
... | {
"repo_name": "asfin/electrum",
"path": "electrum/plugins/trezor/transport.py",
"copies": "2",
"size": "3493",
"license": "mit",
"hash": -7777374658541933000,
"line_mean": 35.7684210526,
"line_max": 92,
"alpha_frac": 0.5585456628,
"autogenerated": false,
"ratio": 4.811294765840221,
"config_test... |
from electrum.util import print_msg, print_error, raw_input
class CmdLineHandler:
def get_passphrase(self, msg, confirm):
import getpass
print_msg(msg)
return getpass.getpass('')
def get_pin(self, msg):
t = { 'a':'7', 'b':'8', 'c':'9', 'd':'4', 'e':'5', 'f':'6', 'g':'1', 'h':... | {
"repo_name": "cryptapus/electrum",
"path": "electrum/plugins/hw_wallet/cmdline.py",
"copies": "3",
"size": "1183",
"license": "mit",
"hash": 5090713113611464000,
"line_mean": 24.7173913043,
"line_max": 94,
"alpha_frac": 0.5300084531,
"autogenerated": false,
"ratio": 3.469208211143695,
"config_... |
from electrum.util import print_stderr, raw_input
from electrum.logging import get_logger
from .plugin import HardwareHandlerBase
_logger = get_logger(__name__)
class CmdLineHandler(HardwareHandlerBase):
def get_passphrase(self, msg, confirm):
import getpass
print_stderr(msg)
return ge... | {
"repo_name": "spesmilo/electrum",
"path": "electrum/plugins/hw_wallet/cmdline.py",
"copies": "1",
"size": "1354",
"license": "mit",
"hash": 8240474768597625000,
"line_mean": 25.0384615385,
"line_max": 93,
"alpha_frac": 0.5649926145,
"autogenerated": false,
"ratio": 3.5538057742782154,
"config_... |
from electrum.util import print_stderr, raw_input
from electrum.logging import get_logger
_logger = get_logger(__name__)
class CmdLineHandler:
def get_passphrase(self, msg, confirm):
import getpass
print_stderr(msg)
return getpass.getpass('')
def get_pin(self, msg):
t = { '... | {
"repo_name": "neocogent/electrum",
"path": "electrum/plugins/hw_wallet/cmdline.py",
"copies": "2",
"size": "1270",
"license": "mit",
"hash": 6190209520484519000,
"line_mean": 24.4,
"line_max": 94,
"alpha_frac": 0.5472440945,
"autogenerated": false,
"ratio": 3.518005540166205,
"config_test": fa... |
from electrum_vtc.i18n import _
from electrum_vtc.plugins import run_hook
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from util import ButtonsTextEdit, MessageBoxMixin
class ShowQRTextEdit(ButtonsTextEdit):
def __init__(self, text=None):
ButtonsTextEdit.__init__(self, text)
self.setRead... | {
"repo_name": "vertcoin/electrum-vtc",
"path": "gui/qt/qrtextedit.py",
"copies": "4",
"size": "1952",
"license": "mit",
"hash": 5917443251178581000,
"line_mean": 29.5,
"line_max": 79,
"alpha_frac": 0.5978483607,
"autogenerated": false,
"ratio": 3.6485981308411213,
"config_test": false,
"has_n... |
from electrum_vtc.i18n import _
import PyQt4
from PyQt4.QtGui import *
from PyQt4.QtCore import *
import PyQt4.QtCore as QtCore
import threading
class FeeSlider(QSlider):
def __init__(self, window, config, callback):
QSlider.__init__(self, Qt.Horizontal)
self.config = config
self.window ... | {
"repo_name": "pknight007/electrum-vtc",
"path": "gui/qt/fee_slider.py",
"copies": "4",
"size": "2016",
"license": "mit",
"hash": 7506342364714500000,
"line_mean": 34.3684210526,
"line_max": 94,
"alpha_frac": 0.5545634921,
"autogenerated": false,
"ratio": 3.658802177858439,
"config_test": true,... |
from elemental_core import (
ElementalBase,
Hook,
ValueChangedHookData,
NO_VALUE
)
from elemental_core.util import process_uuid_value
class Resource(ElementalBase):
"""
Base class for content data.
"""
id_changed = Hook()
@property
def id(self):
"""
Uniquely id... | {
"repo_name": "artPlusPlus/elemental-backend",
"path": "elemental_backend/resources/_resource.py",
"copies": "1",
"size": "2720",
"license": "mpl-2.0",
"hash": -2972277100401637400,
"line_mean": 25.1538461538,
"line_max": 82,
"alpha_frac": 0.5834558824,
"autogenerated": false,
"ratio": 4.01772525... |
from elemental_core import (
ForwardReference,
Hook,
ValueChangedHookData
)
from elemental_core.util import process_uuid_value
from ._mutable_instance_resource import MutableInstanceResource
class MutableFieldInstanceResource(MutableInstanceResource):
value_id_changed = Hook()
@ForwardReference
... | {
"repo_name": "artPlusPlus/elemental-backend",
"path": "elemental_backend/resources/_mutable_field_instance_resource.py",
"copies": "1",
"size": "1068",
"license": "mpl-2.0",
"hash": 2916968276833483000,
"line_mean": 23.8372093023,
"line_max": 66,
"alpha_frac": 0.6573033708,
"autogenerated": false,... |
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