content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# -*- coding: utf-8 -*-
"""
(c) 2017 - Copyright Red Hat Inc
Authors:
Pierre-Yves Chibon <pingou@pingoured.fr>
"""
from __future__ import unicode_literals, absolute_import
import unittest
import shutil
import sys
import os
import mock
sys.path.insert(
0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "..")
)
import pagure.lib.query
import pagure.lib.model
import tests
class PagureExcludeGroupIndex(tests.Modeltests):
""" Tests the EXCLUDE_GROUP_INDEX configuration key in pagure """
def setUp(self):
""" Set up the environnment, ran before every tests. """
super(PagureExcludeGroupIndex, self).setUp()
tests.create_projects(self.session)
tests.create_projects_git(os.path.join(self.path, "repos"), bare=True)
# Create a ``provenpackger`` group:
msg = pagure.lib.query.add_group(
self.session,
group_name="provenpackager",
display_name="Proven Packagers",
description="Packagers having access to all the repo",
group_type="user",
user="pingou",
is_admin=False,
blacklist=[],
)
self.session.commit()
self.assertEqual(
msg, "User `pingou` added to the group `provenpackager`."
)
# Add the `provenpackager` group to the test2 project
project = pagure.lib.query._get_project(self.session, "test2")
msg = pagure.lib.query.add_group_to_project(
session=self.session,
project=project,
new_group="provenpackager",
user="pingou",
)
self.session.commit()
self.assertEqual(msg, "Group added")
def test_defaults_pingou(self):
""" Test which repo pingou has by default. """
repos = pagure.lib.query.search_projects(
self.session, username="pingou", fork=False
)
self.assertEqual(len(repos), 3)
for idx, name in enumerate(["test", "test2", "test3"]):
self.assertEqual(repos[idx].name, name)
def test_defaults_foo(self):
""" Test which repo foo has by default. """
repos = pagure.lib.query.search_projects(
self.session, username="foo", fork=False
)
self.assertEqual(len(repos), 0)
def test_add_foo_test(self):
""" Test adding foo to the test project. """
group = pagure.lib.query.search_groups(
self.session, group_name="provenpackager"
)
self.assertEqual(group.group_name, "provenpackager")
# List all foo's project before (ie: there should be none)
repos = pagure.lib.query.search_projects(
self.session, username="foo", fork=False
)
self.assertEqual(len(repos), 0)
# Adding `foo` to the `provenpackager` group
msg = pagure.lib.query.add_user_to_group(
self.session,
username="foo",
group=group,
user="pingou",
is_admin=False,
)
self.assertEqual(
msg, "User `foo` added to the group `provenpackager`."
)
# Test that foo has now one project, via the provenpackager group
repos = pagure.lib.query.search_projects(
self.session, username="foo", fork=False
)
self.assertEqual(len(repos), 1)
self.assertEqual(repos[0].name, "test2")
def test_excluding_provenpackager(self):
""" Test retrieving user's repo with a group excluded. """
# Add `foo` to `provenpackager`
group = pagure.lib.query.search_groups(
self.session, group_name="provenpackager"
)
self.assertEqual(group.group_name, "provenpackager")
msg = pagure.lib.query.add_user_to_group(
self.session,
username="foo",
group=group,
user="pingou",
is_admin=False,
)
self.assertEqual(
msg, "User `foo` added to the group `provenpackager`."
)
# Get foo's project outside of proven packager
repos = pagure.lib.query.search_projects(
self.session,
username="foo",
exclude_groups=["provenpackager"],
fork=False,
)
self.assertEqual(len(repos), 0)
# Get pingou's project outside of proven packager (nothing changes)
repos = pagure.lib.query.search_projects(
self.session,
username="pingou",
exclude_groups=["provenpackager"],
fork=False,
)
repos2 = pagure.lib.query.search_projects(
self.session, username="pingou", fork=False
)
self.assertEqual(repos, repos2)
self.assertEqual(len(repos), 3)
for idx, name in enumerate(["test", "test2", "test3"]):
self.assertEqual(repos[idx].name, name)
if __name__ == "__main__":
unittest.main(verbosity=2)
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# A complete working python program to demonstrate all
# inertion methods of linked list
#
# Node class
#function to initialize the node object
# Linked list class contains a Node object
#function to initialize the head
#function to insert a new node at the beginning
# Insert a new node after the given previous node (prev_node)
#
# code execution
#
if __name__ =='__main__':
llist = LinkedList()
llist.append(6)
llist.push(7)
llist.push(1)
llist.append(4)
llist.insertAfter(llist.head.next, 8)
print("Created linked list is: ")
llist.printList()
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... | 2.808889 | 225 |
from board import Board
import pacman as pc
import math
import queue
from itertools import permutations
import random
import copy
import time
from create_board import create_board
from ipc import PacmanControls
from direction import Direction
from CONSTANTS import *
map_repr = "oooooooooooooooooooooooooooooooWWWWWWWWWWWWWWWWWWWWWWWWWWWWooWPPPPPPPPPPPPwwPPPPPPPPPPPPWooWPwwwwPwwwwwPwwPwwwwwPwwwwPWooWHwoowPwooowPwwPwooowPwoowHWooWPwwwwPwwwwwPwwPwwwwwPwwwwPWooWPPPPPPPPPPPPPPPPPPPPPPPPPPWooWPwwwwPwwPwwwwwwwwPwwPwwwwPWooWPwwwwPwwPwwwwwwwwPwwPwwwwPWooWPPPPPPwwPPPPwwPPPPwwPPPPPPWooWWWWWWPwwwwwpwwpwwwwwPWWWWWWoooooooWPwwwwwpwwpwwwwwPWooooooooooooWPwwppppbbppppwwPWooooooooooooWPwwpcccddcccpwwPWoooooooWWWWWWPwwpcoooooocpwwPWWWWWWoottttttPpppciirrzzcpppPttttttooWWWWWWPwwpcoooooocpwwPWWWWWWoooooooWPwwpccccccccpwwPWooooooooooooWPwwppppppppppwwPWooooooooooooWPwwpwwwwwwwwpwwPWoooooooWWWWWWPwwpwwwwwwwwpwwPWWWWWWooWPPPPPPPPPPPPwwPPPPPPPPPPPPWooWPwwwwPwwwwwPwwPwwwwwPwwwwPWooWPwwwwPwwwwwPwwPwwwwwPwwwwPWooWHPPwwPPPPPPPssPPPPPPPwwPPHWooWwwPwwPwwPwwwwwwwwPwwPwwPwwWooWwwPwwPwwPwwwwwwwwPwwPwwPwwWooWPPPPPPwwPPPPwwPPPPwwPPPPPPWooWPwwwwwwwwwwPwwPwwwwwwwwwwPWooWPwwwwwwwwwwPwwPwwwwwwwwwwPWooWPPPPPPPPPPPPPPPPPPPPPPPPPPWooWWWWWWWWWWWWWWWWWWWWWWWWWWWWooooooooooooooooooooooooooooooo"
pacman = (14,24)
last_random_target = [None]
def find_nearest_object(objects, target):
'''objects is a list of points,
target is a point'''
return find_object_by_function(objects, target, min)
def search_for_best_direction(initial_board, max_depth, target, last_direction):
'''get the best value of the heuristic that we can reach'''
q = queue.PriorityQueue()
initial_h = heuristic(initial_board, target)
q.put(PriorityBoard(initial_board, 0))
visited = set()
best_h = math.inf
path_length = dict()
directions = dict()
path_length[initial_board] = 0
best_leaves = []
nodes_visited = 0
while not q.empty():
nodes_visited += 1
priority_board = q.get()
h, board = priority_board.priority, priority_board.board
visited.add(board)
if len(board.food) == 0:
return find_initial_direction(board, initial_board, directions)
if target == board.round_pacman():
if initial_h - h > -200:
return find_initial_direction(board, initial_board, directions)
depth = path_length[board] + 1
if depth <= max_depth:
for new_board, direction in generate_possible_boards(board):
if new_board not in visited:
directions[new_board] = (board, direction)
path_length[new_board] = depth
q.put(PriorityBoard(new_board, h + heuristic(new_board, target)))
else:
best_leaves.append((h, board))
#means board is a leaf
if len(best_leaves) == 0:
return Direction.STAY
best_leaf = min(best_leaves, key=lambda x:x[0])
if abs(initial_h - best_leaf[0]) <= 200:
return Direction.STAY
return find_initial_direction(best_leaf[1], initial_board, directions)
def send_instruction(control, direction):
'''send direction instruction to game'''
if direction is Direction.STAY:
return
control.move(direction)
fright_started = [None]
def get_current_board(control):
'''get the current state of the board'''
state = control.get_game_state()
if state is None:
return None
inky_position = weird_mitak_pos_to_tile_pos(state['Inky']['position'])
inky_mode = state['Inky']['mode']
blinky_position = weird_mitak_pos_to_tile_pos(state['Blinky']['position'])
blinky_mode = state['Blinky']['mode']
pinky_position = weird_mitak_pos_to_tile_pos(state['Pinky']['position'])
pinky_mode = state['Pinky']['mode']
clyde_position = weird_mitak_pos_to_tile_pos(state['Clyde']['position'])
clyde_mode = state['Clyde']['mode']
ghosts = [inky_position, blinky_position, pinky_position, clyde_position]
pacman = weird_mitak_pos_to_tile_pos(state['Player']['position'])
ghosts_mode = [(inky_position, inky_mode), (blinky_position, blinky_mode), (pinky_position, pinky_mode), (clyde_position, clyde_mode)]
lives = state['Player']['lives']
width = state['Map']['width']
height = state['Map']['height']
map_repr = state['Map']['map']
edible_ghosts = []
for ghost in ghosts_mode:
if ghost[1] == "Frightened":
edible_ghosts.append(ghost[0])
board = create_board(ghosts, pacman, (width, height), map_repr, edible_ghosts, state, lives)
return board
current_direction = [None]
complementary_directions = [set([Direction.UP, Direction.DOWN]), set([Direction.LEFT, Direction.RIGHT])]
run()
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... | 2.364993 | 2,011 |
from __future__ import division
import os
import errno
import time
def mkdirs(dirname):
"""Recurcively (and safely) create dir
It is equivalent to mkdir -p dirname
"""
try:
os.makedirs(dirname)
except OSError as exc:
if exc.errno != errno.EEXIST:
raise exc
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... | 2.557522 | 113 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.29 on 2020-06-28 22:52
from __future__ import unicode_literals
from django.db import migrations
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198... | 2.709091 | 55 |
import csvdata
# some import works
import pandas as pd
import numpy as np
import torch
from feature.features import features
# Generate dummy data
datapath = csvdata.csvdatapaths[0] # 输入需要训练的文件
data = pd.read_csv(datapath) # 载入csv文件
date = np.array(data['date'])
Time = np.array(data['time'])
open = np.array(data['open'])
high = np.array(data['high'])
low = np.array(data['low'])
close = np.array(data['close'])
volume = np.array(data['volume'])
Fs = features(open, high, low, close, volume) # 这里有狠多特征,取需要的用
x = Fs.close.astype('float32')
len_x = len(x)
y = (np.sign(Fs.close[1:] - Fs.close[:-1])).astype("int")
y = np.insert(y, 0, 0) # 在0位插入一个nan,使其长度与x相等
# from sklearn.preprocessing import LabelBinarizer
# lb = LabelBinarizer()
# lb.fit([1, 0, -1])
# y = lb.transform(y_) # 转换成3列
x_train_endpoint = int(len_x * 0.7) # 向下取整
x_val_endpoint_ = int(len_x * 0.15) # 向下取整
x_train = x[:x_train_endpoint]
y_train = y[:x_train_endpoint]
# x_val = x[x_train_endpoint: x_val_endpoint_]
# y_val = y[x_train_endpoint: x_val_endpoint_]
x_test = x[x_train_endpoint:]
y_test = y[x_train_endpoint:]
#
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
train_data = MyDataset(x=x_train, y=y_train, window=100)
test_data = MyDataset(x=x_test, y=y_test, window=100)
train_bs = 100
test_bs = 100
train_loader = DataLoader(dataset=train_data, batch_size=train_bs)
test_loader = DataLoader(dataset=test_data, batch_size=test_bs)
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
net = Net()
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
net.to(device)
criterion = nn.SoftMarginLoss()
# optimizer = optim.Adam(model.parameters(), lr=0.001)
lr_init = 0.001
optimizer = optim.SGD(net.parameters(), lr=lr_init, momentum=0.9, dampening=0.1) # 选择优化器
scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=50, gamma=0.1) # 设置学习率下降策略
for epoch in range(10): # loop over the dataset multiple times
running_loss = 0.0
for i, data in enumerate(train_loader, 0):
# get the inputs
inputs, labels = data
inputs, labels = inputs.to(device), labels.to(device)
# zero the parameter gradients
optimizer.zero_grad()
# forward + backward + optimize
outputs = net(inputs)
loss = criterion(outputs, labels)
loss.backward()
optimizer.step()
# print statistics
running_loss += loss.item()
if i % 2000 == 1999: # print every 2000 mini-batches
print('[%d, %5d] loss: %.3f' %
(epoch + 1, i + 1, running_loss / 2000))
running_loss = 0.0
print('Finished Training')
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... | 2.153724 | 1,262 |
import os
import time
import torch
import torch.nn as nn
from collections import OrderedDict
from ipdb import set_trace as st
from math import sqrt
from tqdm import tqdm
from .train_model import TrainModel
from networks import networks
import util.pytorch_ssim as pytorch_ssim
from sklearn.metrics import confusion_matrix
import util.semseg.metrics.raster as metrics
import numpy as np
# Be able to add many loss functions | [
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1703... | 3.380952 | 126 |
from subprocess import Popen, PIPE
def runNONMEM:
process = Popen(['echo', 'test.py'], stdout=PIPE, stderr=PIPE)
stdout, stderr = process.communicate()
print stdout | [
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import json
import pickle
import os
from typing import Dict, Iterable, TypeVar, Type, List, Union, Any
if __package__:
from link_analysis.models import Header, DocumentHeader, CleanLink
else:
from models import Header, DocumentHeader, CleanLink # type: ignore
# Don't forget to add to this place new classes which contains implementation
# method convert_to_class_format()
classname = Union[Type[DocumentHeader], Type[CleanLink]]
classobjects = Union[DocumentHeader, CleanLink]
def convert_to_class_format(
data: Iterable[Dict[str, str]],
className: classname) -> Union[Dict[str, classobjects],
List[classobjects]]:
'''
argument data: iterable stadard python object like dictionary or list
with dictionary elements for that class format exist\n
if data is dictionary, data's keys must be standard python objects\n
argument className: name of class that contains static method
'convert_from_dict'. This class is format for element of data argument\n
returns dictionary or list with instances of class className
'''
if not hasattr(data, '__iter__'):
raise ValueError("'data' is not iterable object")
if isinstance(data, dict):
convertedDataDict = {} # type: Dict[str, classobjects]
for key in data:
convertedDataDict[key] = \
className.convert_from_dict(key, data[key]) # type: ignore
return convertedDataDict
else:
convertedDataList = [] # type: List[classobjects]
for el in data:
convertedDataList.append(
className.convert_from_dict(el)) # type: ignore
return convertedDataList
def convert_to_json_serializable_format(
data: Iterable[classobjects]) -> Union[Dict[str, Dict[str, str]],
List[Dict[str, str]]]:
'''
argument data: iterable stadard python object like dictionary or list
if data is dictionary, data's keys must be standard python objects
with instances of classes which has method 'convert_to_dict';\n
returns dictionary or list with dictionary elements
'''
if not hasattr(data, '__iter__'):
raise ValueError("'data' is not iterable object")
if isinstance(data, dict):
convertedDataDict = {} # type: Dict[str, Dict[str, str]]
for key in data:
convertedDataDict[key] = data[key].convert_to_dict()
return convertedDataDict
else:
convertedDataList = [] # type: List[Dict[str, str]]
for el in data:
convertedDataList.append(el.convert_to_dict()) # type: ignore
return convertedDataList
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... | 2.642229 | 1,023 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
"""
__time__ = '2019/1/31 10:24'
import copy
import json
import os
import random
import re
import logging
from tatk.policy.policy import Policy
from tatk.task.multiwoz.goal_generator import GoalGenerator
from tatk.util.multiwoz.multiwoz_slot_trans import REF_USR_DA, REF_SYS_DA
DEF_VAL_UNK = '?' # Unknown
DEF_VAL_DNC = 'don\'t care' # Do not care
DEF_VAL_NUL = 'none' # for none
DEF_VAL_BOOKED = 'yes' # for booked
DEF_VAL_NOBOOK = 'no' # for booked
NOT_SURE_VALS = [DEF_VAL_UNK, DEF_VAL_DNC, DEF_VAL_NUL, DEF_VAL_NOBOOK]
# import reflect table
REF_USR_DA_M = copy.deepcopy(REF_USR_DA)
REF_SYS_DA_M = {}
for dom, ref_slots in REF_SYS_DA.items():
dom = dom.lower()
REF_SYS_DA_M[dom] = {}
for slot_a, slot_b in ref_slots.items():
REF_SYS_DA_M[dom][slot_a.lower()] = slot_b
REF_SYS_DA_M[dom]['none'] = None
# def book slot
BOOK_SLOT = ['people', 'day', 'stay', 'time']
class UserPolicyAgendaMultiWoz(Policy):
""" The rule-based user policy model by agenda. Derived from the UserPolicy class """
# load stand value
with open(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, os.pardir, os.pardir, 'data/multiwoz/value_set.json')) as f:
stand_value_dict = json.load(f)
def __init__(self):
"""
Constructor for User_Policy_Agenda class.
"""
self.max_turn = 40
self.max_initiative = 4
self.goal_generator = GoalGenerator()
self.__turn = 0
self.goal = None
self.agenda = None
Policy.__init__(self)
def init_session(self):
""" Build new Goal and Agenda for next session """
self.__turn = 0
self.goal = Goal(self.goal_generator)
self.domain_goals = self.goal.domain_goals
self.agenda = Agenda(self.goal)
def predict(self, state):
"""
Predict an user act based on state and preorder system action.
Args:
state (tuple): Dialog state.
Returns:
action (tuple): User act.
session_over (boolean): True to terminate session, otherwise session continues.
reward (float): Reward given by user.
"""
self.__turn += 2
assert isinstance(state, list)
sys_action = {}
for intent, domain, slot, value in state:
k = '-'.join([domain, intent])
sys_action.setdefault(k,[])
sys_action[k].append([slot, value])
if self.__turn > self.max_turn:
self.agenda.close_session()
else:
sys_action = self._transform_sysact_in(sys_action)
self.agenda.update(sys_action, self.goal)
if self.goal.task_complete():
self.agenda.close_session()
# A -> A' + user_action
# action = self.agenda.get_action(random.randint(1, self.max_initiative))
action = self.agenda.get_action(self.max_initiative)
# transform to DA
action = self._transform_usract_out(action)
tuples = []
for domain_intent, svs in action.items():
for slot, value in svs:
domain, intent = domain_intent.split('-')
tuples.append([intent, domain, slot, value])
return tuples
def _reward(self):
"""
Calculate reward based on task completion
Returns:
reward (float): Reward given by user.
"""
if self.goal.task_complete():
reward = 2.0 * self.max_turn
elif self.agenda.is_empty():
reward = -1.0 * self.max_turn
else:
reward = -1.0
return reward
@classmethod
@classmethod
@classmethod
class Goal(object):
""" User Goal Model Class. """
def __init__(self, goal_generator: GoalGenerator):
"""
create new Goal by random
Args:
goal_generator (GoalGenerator): Goal Gernerator.
"""
self.domain_goals = goal_generator.get_user_goal()
self.domains = list(self.domain_goals['domain_ordering'])
del self.domain_goals['domain_ordering']
for domain in self.domains:
if 'reqt' in self.domain_goals[domain].keys():
self.domain_goals[domain]['reqt'] = {slot: DEF_VAL_UNK for slot in self.domain_goals[domain]['reqt']}
if 'book' in self.domain_goals[domain].keys():
self.domain_goals[domain]['booked'] = DEF_VAL_UNK
def task_complete(self):
"""
Check that all requests have been met
Returns:
(boolean): True to accomplish.
"""
for domain in self.domains:
if 'reqt' in self.domain_goals[domain]:
reqt_vals = self.domain_goals[domain]['reqt'].values()
for val in reqt_vals:
if val in NOT_SURE_VALS:
return False
if 'booked' in self.domain_goals[domain]:
if self.domain_goals[domain]['booked'] in NOT_SURE_VALS:
return False
return True
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
198,
37811,
198,
37811,
198,
198,
834,
2435,
834,
796,
705,
23344,
14,
16,
14,
3132,
838,
25,
1731,
6,
198,
198... | 2.143455 | 2,391 |
import pytest
from melusine.nlp_tools.normalizer import Normalizer
@pytest.mark.parametrize(
"input_text, lowercase, output_text",
[
("Héllö WORLD", True, "hello world"),
("Hèllo WÖRLD", False, "Hello WORLD"),
("", False, ""),
],
)
| [
11748,
12972,
9288,
198,
6738,
7758,
385,
500,
13,
21283,
79,
62,
31391,
13,
11265,
7509,
1330,
14435,
7509,
628,
198,
31,
9078,
9288,
13,
4102,
13,
17143,
316,
380,
2736,
7,
198,
220,
220,
220,
366,
15414,
62,
5239,
11,
2793,
7442,... | 2.25 | 120 |
# Copyright (c) 2013, zameen and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from datetime import datetime,time, timedelta
from empg_erp.modules.mustang.employee.employee_roster import EmployeeRoster
import json
from pypika import Query, Tables, Field, JoinType, functions as fn, Case, Order
from empg_erp.utils import get_limit_from_filters, \
get_page_count, path_child, unlock_doc, get_time_diff, check_advance_privilege_by_name, get_config_by_name, \
get_user_filters_by_role, get_auth_team_ids,get_employee_code,get_user_role, get_timestamp,get_formatted_hours
from empg_erp.modules.mustang.shift import get_employee_shift
from empg_erp.modules.mustang.attendance.employee_attendance import checking_attandence_processed
from empg_erp.constants.globals import PAGE_SIZE, ATTENDANCE_MANAGER, HR_MANAGER,ADMINISTRATOR,EMPLOYEE, LINE_MANAGER, HR_USER
from frappe.utils.background_jobs import enqueue
empatt, tabEmp, ats, le = Tables(
'tabAttendance','tabEmployee', 'tabRoster Status', 'tabLeave Application'
)
@frappe.whitelist()
@frappe.whitelist()
| [
2,
15069,
357,
66,
8,
2211,
11,
1976,
480,
268,
290,
20420,
198,
2,
1114,
5964,
1321,
11,
3387,
766,
5964,
13,
14116,
198,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
11748,
5306,
27768,
198,
6738,
5306,
27... | 2.854015 | 411 |
# from meta_network import meta_learner
from data import Data, MetaData
# from utils import subset_index_to_address
# from utils import meta_pred_generator, historyPlot, create_data_subsets, dice_coef_loss, auc, mean_iou, dice_coef
from visualization import visualize_meta_labels, visualize_meta_features, visualize_regression_result, visualize_features_tSNE, visualize_features_MDS, visualize_confusion_matrix, visualize_features_PCA
from keras.optimizers import Adam
from MetaFeatureExtraction import MetaFeatureExtraction
from tqdm import tqdm
import random
import os
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.svm import SVC
from sklearn.svm import SVR
import matplotlib.pyplot as plt
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
if __name__ == '__main__':
main()
| [
2,
422,
13634,
62,
27349,
1330,
13634,
62,
3238,
1008,
198,
6738,
1366,
1330,
6060,
11,
30277,
6601,
198,
2,
422,
3384,
4487,
1330,
24637,
62,
9630,
62,
1462,
62,
21975,
198,
2,
422,
3384,
4487,
1330,
13634,
62,
28764,
62,
8612,
135... | 3.258065 | 248 |
from comms import UDP_Comms, Serial_Comms, Radio_Comms
import socket, time
from binascii import unhexlify, hexlify
if __name__ == "__main__":
#comms = UDP_Comms('127.0.0.1', 1234, 1235)
# comms = Serial_Comms("/dev/ttyUSB2")
comms = Radio_Comms('127.0.0.1','127.0.0.1', 5020, 5000)
#comms = Radio_Comms('10.0.0.2','10.0.0.98', 5028, 5000)
#comms.enable_tlm()
time.sleep(1)
dump = b''
start = 0x42800000
length = 0x800
step = 32
overlap = 8
backoff = 0
with open('dump1.bin', 'wb') as f:
offset = 0
expected = b'' # Start length 0, will pass the expected check
while offset < length:
print("Get {} bytes @ 0x{:08x}".format(step, start + offset))
data = comms.backdoor_dump(b"", start + offset, step)
if data[:len(expected)] != expected:
print("Repeat at offset {:04x}".format(offset))
print(hexlify(expected) + b" != " + hexlify(data[:len(expected)]))
print("Try again...")
backoff += 1
time.sleep(0.25 * backoff)
continue
# Write the new data (overlap is in the first bytes so skip them)
f.write(data[len(expected):])
# Setup next loop
expected = data[-overlap:]
offset += step - len(expected)
backoff = 0
time.sleep(1.0)
print("written to dump1.bin")
| [
6738,
725,
82,
1330,
36428,
62,
5377,
907,
11,
23283,
62,
5377,
907,
11,
8829,
62,
5377,
907,
198,
11748,
17802,
11,
640,
198,
6738,
9874,
292,
979,
72,
1330,
555,
33095,
75,
1958,
11,
17910,
75,
1958,
198,
198,
361,
11593,
3672,
... | 2.048883 | 716 |
# Link to the problem: https://www.codechef.com/problems/COMPILER
if __name__ == "__main__":
main()
| [
2,
7502,
284,
262,
1917,
25,
3740,
1378,
2503,
13,
19815,
721,
258,
69,
13,
785,
14,
1676,
22143,
14,
9858,
47,
4146,
1137,
628,
198,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
19... | 2.431818 | 44 |
from typing import Tuple, List
from federatedml.util import LOGGER
from federatedml.util import consts
tree_type_dict = {
'guest_feat_only': 0, # use only guest feature to build this tree
'host_feat_only': 1, # use only host feature to build this tree
'normal_tree': 2, # a normal decision tree
'layered_tree': 3 # a layered decision tree
}
tree_actions = {
'guest_only': 0, # use only guest feature to build this layer
'host_only': 1, # use only host feature to build this layer
'guest_and_host': 2, # use global feature to build this layer
}
def create_tree_plan(work_mode: str, k=1, tree_num=10, host_list=None, complete_secure=True):
"""
Args:
work_mode:
k: k is needed when work_mode is 'layered'
tree_num: decision tree number
host_list: need to specify host idx when under multi-host scenario, default is None
complete_secure:
Returns: tree plan: (work mode, host id) host id -1 is default value
"""
LOGGER.info('boosting_core trees work mode is {}'.format(work_mode))
tree_plan = []
if work_mode == consts.MIX_TREE:
assert k > 0
assert len(host_list) > 0
one_round = [(tree_type_dict['guest_feat_only'], -1)] * k
for host_idx, host_id in enumerate(host_list):
one_round += [(tree_type_dict['host_feat_only'], host_id)] * k
round_num = (tree_num // (2 * k)) + 1
tree_plan = (one_round * round_num)[0:tree_num]
elif work_mode == consts.LAYERED_TREE:
tree_plan = [(tree_type_dict['layered_tree'], -1) for i in range(tree_num)]
if complete_secure:
tree_plan[0] = (tree_type_dict['guest_feat_only'], -1)
return tree_plan
| [
6738,
19720,
1330,
309,
29291,
11,
7343,
198,
6738,
28062,
515,
4029,
13,
22602,
1330,
41605,
30373,
198,
6738,
28062,
515,
4029,
13,
22602,
1330,
1500,
82,
198,
198,
21048,
62,
4906,
62,
11600,
796,
1391,
198,
220,
220,
220,
705,
516... | 2.46733 | 704 |
from .api import compute_MVBS, compute_MVBS_index_binning, remove_noise
| [
6738,
764,
15042,
1330,
24061,
62,
44,
53,
4462,
11,
24061,
62,
44,
53,
4462,
62,
9630,
62,
8800,
768,
11,
4781,
62,
3919,
786,
198
] | 2.769231 | 26 |
import torch
import numpy as np
| [
11748,
28034,
198,
11748,
299,
32152,
355,
45941,
628,
628,
628
] | 3.363636 | 11 |
'''
Processor for IIIF
'''
import os
from requests.exceptions import RequestException
from sandhill import app, catch
from sandhill.utils.api import api_get, establish_url
from sandhill.utils.generic import get_config
from sandhill.utils.error_handling import dp_abort
@catch(RequestException, "Call to IIIF Server failed: {exc}", abort=503)
def load_image(data_dict, url=None, api_get_function=api_get):
'''
Load a IIIF image
args:
data_dict(dict): route data where [view_ags][iiif_path] and [identifier] exist
url(str): Override the IIIF server URL from the default IIIF_BASE in the configs
api_get_function(function): function to use when making the GET request
returns:
image: Requested image from IIIF
'''
image = None
url = establish_url(url, get_config('IIIF_BASE', None))
if 'iiif_path' in data_dict['view_args'] and 'identifier' in data_dict:
image = api_get_function(
url=os.path.join(url, data_dict['identifier'], data_dict['view_args']['iiif_path']),
stream=True)
else:
app.logger.warning("Could not call IIIF Server; missing identifier or iiif_path")
dp_abort(500)
if not image.ok:
app.logger.debug("Call to IIIF Server returned {0}".format(image.status_code))
dp_abort(image.status_code)
image = None
return image
| [
7061,
6,
198,
18709,
273,
329,
2873,
5064,
198,
7061,
6,
198,
11748,
28686,
198,
6738,
7007,
13,
1069,
11755,
1330,
19390,
16922,
198,
6738,
6450,
12639,
1330,
598,
11,
4929,
198,
6738,
6450,
12639,
13,
26791,
13,
15042,
1330,
40391,
... | 2.585366 | 533 |
from temboo.Library.SendGrid.WebAPI.FilterCommands.ActivateApp import ActivateApp, ActivateAppInputSet, ActivateAppResultSet, ActivateAppChoreographyExecution
from temboo.Library.SendGrid.WebAPI.FilterCommands.DeactivateApp import DeactivateApp, DeactivateAppInputSet, DeactivateAppResultSet, DeactivateAppChoreographyExecution
from temboo.Library.SendGrid.WebAPI.FilterCommands.GetAppSettings import GetAppSettings, GetAppSettingsInputSet, GetAppSettingsResultSet, GetAppSettingsChoreographyExecution
from temboo.Library.SendGrid.WebAPI.FilterCommands.ListAvailableApps import ListAvailableApps, ListAvailableAppsInputSet, ListAvailableAppsResultSet, ListAvailableAppsChoreographyExecution
from temboo.Library.SendGrid.WebAPI.FilterCommands.SetupApp import SetupApp, SetupAppInputSet, SetupAppResultSet, SetupAppChoreographyExecution
| [
6738,
2169,
2127,
78,
13,
23377,
13,
25206,
41339,
13,
13908,
17614,
13,
22417,
6935,
1746,
13,
25526,
378,
4677,
1330,
33120,
4677,
11,
33120,
4677,
20560,
7248,
11,
33120,
4677,
23004,
7248,
11,
33120,
4677,
1925,
382,
4867,
23002,
10... | 3.778281 | 221 |
import inspect
import warnings
from enum import Enum
class BaseMixin:
"""Base mixin for etna classes."""
def __repr__(self):
"""Get default representation of etna object."""
# TODO: add tests default behaviour for all registered objects
args_str_representation = ""
init_args = inspect.signature(self.__init__).parameters
for arg, param in init_args.items():
if param.kind == param.VAR_POSITIONAL:
continue
elif param.kind == param.VAR_KEYWORD:
for arg_, value in self.__dict__[arg].items():
args_str_representation += f"{arg_} = {repr(value)}, "
else:
try:
value = self.__dict__[arg]
except KeyError as e:
value = None
warnings.warn(f"You haven't set all parameters inside class __init__ method: {e}")
args_str_representation += f"{arg} = {repr(value)}, "
return f"{self.__class__.__name__}({args_str_representation})"
class StringEnumWithRepr(str, Enum):
"""Base class for str enums, that has alternative __repr__ method."""
def __repr__(self):
"""Get string representation for enum string so that enum can be created from it."""
return self.value.__repr__()
| [
11748,
10104,
198,
11748,
14601,
198,
6738,
33829,
1330,
2039,
388,
628,
198,
4871,
7308,
35608,
259,
25,
198,
220,
220,
220,
37227,
14881,
5022,
259,
329,
2123,
2616,
6097,
526,
15931,
628,
220,
220,
220,
825,
11593,
260,
1050,
834,
... | 2.249581 | 597 |
from app_base import *
from app_misc import *
from app_data import *
from app_project import *
from app_tag import *
from app_field import *
from app_table import *
from app_annotation import *
from app_spacy import *
from app_glossary import *
from app_search import *
from app_action import *
if __name__ == '__main__':
try:
# prerequisites
logger.info('ensure sandpaper is on...')
ensure_sandpaper_is_on()
logger.info('ensure etl engine is on...')
ensure_etl_engine_is_on()
logger.info('ensure kafka is on...')
ensure_kafka_is_on()
logger.info('register signal handler...')
signal.signal(signal.SIGINT, graceful_killer)
signal.signal(signal.SIGTERM, graceful_killer)
# init
for project_name in os.listdir(config['repo']['local_path']):
project_dir_path = get_project_dir_path(project_name)
if os.path.isdir(project_dir_path) and \
not (project_name.startswith('.') or project_name.startswith('_')):
data[project_name] = templates.get('project')
logger.info('loading project %s...', project_name)
# master config
master_config_file_path = os.path.join(project_dir_path, 'master_config.json')
if not os.path.exists(master_config_file_path):
logger.error('Missing master_config.json file for ' + project_name)
with open(master_config_file_path, 'r') as f:
data[project_name]['master_config'] = json.loads(f.read())
# annotations
TagAnnotationsForEntityType.load_from_tag_file(project_name)
FieldAnnotations.load_from_field_file(project_name)
# data
data_db_path = os.path.join(project_dir_path, 'data/_db.json')
data_persistence.prepare_data_file(data_db_path)
if os.path.exists(data_db_path):
with open(data_db_path, 'r') as f:
data[project_name]['data'] = json.loads(f.read())
# status
status_path = os.path.join(get_project_dir_path(project_name), 'working_dir/status.json')
data_persistence.prepare_data_file(status_path)
if os.path.exists(status_path):
with open(status_path, 'r') as f:
data[project_name]['status'] = json.loads(f.read())
if 'added_docs' not in data[project_name]['status']:
data[project_name]['status']['added_docs'] = dict()
if 'desired_docs' not in data[project_name]['status']:
data[project_name]['status']['desired_docs'] = dict()
if 'total_docs' not in data[project_name]['status']:
data[project_name]['status']['total_docs'] = dict()
# initialize total docs status every time
for tld in data[project_name]['data'].keys():
data[project_name]['status']['total_docs'][tld] \
= len(data[project_name]['data'][tld])
update_status_file(project_name)
# re-config sandpaper
url = '{}/config?project={}&index={}&endpoint={}'.format(
config['sandpaper']['url'],
project_name,
data[project_name]['master_config']['index']['sample'],
config['es']['sample_url']
)
resp = requests.post(url, json=data[project_name]['master_config'], timeout=10)
if resp.status_code // 100 != 2:
logger.error('failed to re-config sandpaper for project %s', project_name)
# re-config etl engine
url = config['etl']['url'] + '/create_project'
payload = {
'project_name': project_name
}
resp = requests.post(url, json.dumps(payload), timeout=config['etl']['timeout'])
if resp.status_code // 100 != 2:
logger.error('failed to re-config ETL Engine for project %s', project_name)
# create project daemon thread
start_threads_and_locks(project_name)
# run app
logger.info('starting web service...')
app.run(debug=config['debug'], host=config['server']['host'], port=config['server']['port'], threaded=True)
except KeyboardInterrupt:
graceful_killer()
except Exception as e:
logger.exception('exception in main function')
| [
6738,
598,
62,
8692,
1330,
1635,
198,
6738,
598,
62,
44374,
1330,
1635,
198,
6738,
598,
62,
7890,
1330,
1635,
198,
6738,
598,
62,
16302,
1330,
1635,
198,
6738,
598,
62,
12985,
1330,
1635,
198,
6738,
598,
62,
3245,
1330,
1635,
198,
6... | 2.020128 | 2,335 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
# Created by Darren Zhao Xie on 05/28/2018
# Blockchain example by python
"""
from typing import NamedTuple
class Transaction(NamedTuple):
"""Represents an transaction"""
sender: str
receiver: str
amount: float
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
220,
1303,
15622,
416,
26203,
29436,
48989,
319,
8870,
14,
2078,
14,
7908,
198,
220,
1303,
29724,
1672,
416... | 2.947917 | 96 |
# Copyright (c) 2017 Ioannes Bracciano
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
'''
This python module greatly extends the functionality of
16x1 or 16x2 dot character LCD displays, using the HD44780
controller or one alike, as well as it provides an easy way
to interact with it. Briefly you can:
* Display text on the LCD screen (duh)
* Split the text into unlimited lines and lines into unlimited cells
* Format cell widths using tab stops
* Scroll through all of the contents with ease and in many different ways
* Load extended dot patterns and draw them on the screen (coming soon)
Author and Maintainer
Ioannes Bracciano <john.bracciano@gmail.com>
'''
# Constants and Flags
# -------------------
# Current module version
VERSION = '0.7.1'
# Defines the number of lines on the LCD screen
LCD_LINES = 2
# Defines the number of characters per line
CHARS_PER_LINE = 16
# Flag to make cursor visible via the `cursor` function
CURSOR_VISIBLE = 0x01
# Flag to make cursor blink via the `cursor` function
CURSOR_BLINK = 0x02
# _Buffer is a helper class to control the module's
# internal text buffer. It parses the given text to lines
# ad holds an internal pointer to the current line
# Parses the raw string internally and constructs the lines array
# If 'string' is None, then it clears the buffer's contents
# Appends more lines at the end of the buffer
# Clears the buffer contents
# Returns the _Line of text at index
# If index is left blank, _current_line_index is used
# If index exceeds line_count(), it returns None
# Returns the number of lines in the buffer
# Returns True if the given _Line is currently displayed on the LCD
# Returns False otherwise
# Returns True if contents can scroll to 'position', False otherwise
# In other words True is returned if 'position' is within [0, line_count())
# Scrolls to the line at 'position'
# If 'position' is negative it scrolls to the first line, whereas
# if 'position' is equal or greater line_count(), it scrolls to the last
# _Line
# Scrolls the contents down by 'offset' lines
# Returns True if contents will further scroll to that direction by the same
# amount, False otherwise
# Scrolls the contents up by 'offset' lines
# Returns True if contents will further scroll to that direction by the same
# amount, False otherwise
# Scrolls the contents to the first line in the buffer
# Scrolls the contents to the last line in the buffer
# Concatenates all the lines in the buffer into one formatted string
# Mainly to be called from __str__() so users are able to print the
# buffer on the computer without any effort
# Resets the internal line index
# Initializes the _Buffer
# Uses _format_contents to return a formatted string of its contents
# Falls back to its name
# Overloads operator.len() to return the _Buffer's line_count()
# Overloads operator [] to access a line in the buffer
# Returns the internal _lines array when involved in for...in loops
# Class _Buffer END
################################################################################
# Helper class that formats a given line of string for display
# on the lcd screen
# The text in the line can be split into multiple cells using tab stops
# Each cell is displayed and scrolled seperately on the screen
# Parses the given string
# Returns the text contained in cell at index
# If index is left blank, the internal cell index is used
# If index exceeds cell_count(), it circles back to the beginning
# Returns the number of cells in the last parsed line of text
# That typically corresponds to the number of '\t' characters
# in the line plus 1
# Lets the user set custom tab stops
# Tab stops are used to control the number and width of cells
# in a line of text. These cells will be displayed and scrolled
# independently. You can change between cells using the '\t'
# character when you provide the string to be written on the LCD screen
# Returns True if this _Line is currently displayed on the LCD screen
# Returns False otherwise
# Returns True if contents can scroll to 'position', False otherwise
# In other words True is returned if 'position' is within [0, cell_count())
# Scrolls to the cell at 'position'
# If 'position' is negative it scrolls to the first cell, whereas
# if 'position' is equal or grater than cell_count(), it scrolls to the last
# cell
# Scrolls the contents to the left by 'offset' cells
# Scrolls the contents to the right by 'offset' cells
# Scrolls to the start of the line
# Scrolls to the end of the line
# Turns its contents into a formatted string to be written on the LCD screen
# Resets the internal cell index
# Generates evenly spaced tab stops based on their count
# Up to 16 tab stops can be generated automatically and fitted
# within the 16-character line of the lcd screen. If their width
# cannot be divided exactly to an integer amount, it will be floored
# to the nearest integer, so contents of the last cell might be
# partly or totally hidden, and you should call scroll_left() on the
# line to make them visible
# Distributes the width of each cell in the line
# Calculates the width of a cell based on its bounding tab stops
# If index is left blank, _current_cell_index will be used.
# Notice that this function does not check if index is out of bounds
# Initializes the _Line
# Returns the formatted contents of the line that are to be written
# on the lcd screen, or __name__ if no line is yet parsed
# Returns the _Line's cumulative sum of its cell widths
# Makes it possible to access a _Cell by applying indexing on the _Line
# The next two methods implement the iterator protocol in
# order to make instaces of this class iterable. Users can
# therefore iterate between cells in a line easily in a
# for...in loop
# Class _Line END
################################################################################
# Sets the width of the cell
# Returns the width of the cell
# Returns true if the _Cell is currently displayed on the LCD screen
# Returns False otherwise
# Returns True if contents can scroll to 'position', False otherwise
# Contents can scroll until there are no more hidden characters past the
# right boundary of the cell
# Scrolls the text to the character at 'position' within the displayed string
# If 'position' is zero or negative, it scrolls to the top, whereas if
# 'position' causes the last character in the text to be displayed before the
# right boundary of the cell (displaces the text too much), it scrolls to the
# end
# Scrolls the contents to the left by 'offset' characters
# Scrolls the contents to the right by 'offset' characters
# Scrolls to the start of the text
# Scrolls to the end of the text
# Returns the portion of text that fits inside the cell. If the
# text length is larger than the cell's width, it can be scrolled
# using scroll_right(), scroll_left() or scroll_to() methods
# Initializes the cell with some text and specifies its width
# (16 characters by default)
# Class _Cell END
################################################################################
from abc import ABCMeta, abstractmethod
from threading import Timer
# _Scroller is a base class that serves as a common ancestor of the concrete
# implementation of all the _Scroller classes. It provides the common interface
# used by _ScrollerBuilder
# Class _Scroller END
################################################################################
# _ScreenScroller is a _Scroller helper class that provides an easy way to
# scroll the contents on the LCD screen line by line, if the _Buffer contains
# more lines than the screen itself
# Scrolls the contents in the buffer upwards
# If 'by' value scrolls to an offset past the buffer contents, it simply
# reaches the top of the scrolling (scrolls to the first line)
# Returns self for call chaining
# Scrolls the contents in the buffer downwards
# If 'by' value scrolls to an offset past the buffer contents, it simply
# reaches the bottom of the scrolling (scrolls to the last line)
# Returns self for call chaining
# Interfaces with the buffer to perform the actual scrolling
# Returns True if contents can further scroll to that direction,
# False otherwise
# Interfaces with the buffer to perform the actual scrolling
# Returns True if contents can further scroll to that direction,
# False otherwise
# Performs a scroll up of the contents on the screen by abs(_scroll_value)
# lines if _scroll_value is negative, or a scroll down by the same amount
# if positive
# Initializes the _Scroller
# Class _ScreenScroller END
################################################################################
# _LineScroller is a _Scroller helper class that provides an easy way to
# scroll the contents of a _Line on the LCD screen cell by cell, if the _Line
# is longer than the screen's width
# Scrolls the contents in the _Line to the right
# If 'by' value defines an offset past the start of the _Line, it simply
# scrolls to the first cell, ignoring the extra offset
# Returns self for call chaining
# Scrolls the contents in the _Line to the left
# If 'by' value defines an offset past the end of the _Line, it simply
# scrolls to the last cell, ignoring the extra offset
# Returns self for call chaining
# Interfaces with the _Line to perform the actual scrolling
# Returns True if contents can further scroll to that direction,
# False otherwise
# Interfaces with the _Line to perform the actual scrolling
# Returns True if contents can further scroll to that direction,
# False otherwise
# Performs a scroll of the contents to the right by abs(_scroll_value) cells
# _scroll_offset is negative, or a scroll to the left by the same amount if
# _scroll_offset is positive
# Initializes the _Scroller
# Class _LineScroller END
################################################################################
# _CellScroller is a _Scroller helper class that provides an easy way to
# scroll the contents of a _Cwithin a _Line independently, character by
# character, if the text displayed in it is longer than its width
# Scrolls the contents in the _Cell to the right
# If 'by' value defines an offset past the first character in the text,
# it simply scrolls to the start, ignoring the extra offset
# Returns self for call chaining
# Scrolls the contents in the _Cell to the left
# If 'by' value defines an offset past the cell contents, it simply
# scrolls to the end, ignoring the extra offset
# Returns self for call chaining
# Interfaces with the _Cell to perform the actual scrolling
# Returns True if contents can further scroll to that direction,
# False otherwise
# Interfaces with the _Cellr to perform the actual scrolling
# Returns True if contents can further scroll to that direction,
# False otherwise
# Performs a scroll of the contents to the right by abs(_scroll_value)
# characters _scroll_offset is negative, or a scroll to the left by the same
# amount if _scroll_offset is positive
# Initializes the _Scroller
# Class _CellScroller END
################################################################################
from sys import modules
# Get a pointer to this module
this = modules[__name__]
# The buffer is used to internally hold and manipulate
# the string that is currently shown on the LCD
this.__buffer = _Buffer()
from ifc import HD44780
# Initializes controller and turns the display on
# Clears the display of all text
# Displays the given text on the LCD screen
# The text is saved and parsed in ythe _Buffer. You can provide an unlimited
# number of characters and lines. You can use the '\t' character to split a
# line into different cells and then set_tab_stops() to format their width.
# Formats the string currently displayed on the screen
# tab_stops are used to divide the screen into multiple parts (columns). These
# columns will display text in their own width and scroll independently. You
# can change between columns using the \t character when you provide the string
# to be written on the LCD
# Future development will include text alignment options
# Shows or hides the cursor on the screen
# Returns a specific _Scroller instance acording to the type of the parameter
# given
# Returns the inner _Buffer object
# Gets a _Line form the inner _Buffer
# If provided with an 'index' it returns the _Line at that index in the buffer
# If provided with an 'offset' it returns the _Line that is 'offset' many
# places away from the current _Line on the LCD screen
# If nothing is provided it returns the current _Line
from threading import Lock
# Create a lock to secure the process of writing text on the screen because
# different threads created by multiple scrollers can mess it up
lock = Lock()
# Writes LCD_LINES many formatted _Lines from the _Buffer (if there are enough)
# to the LCD screen. This function blocks other threads from accessing it while
# it executes on some other thread
| [
2,
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66,
8,
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27853,
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10115,
198,
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3788,
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3917,
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3696,
357,
1169,
3... | 4.027397 | 3,577 |
from setuptools import setup, find_packages
with open("README.md") as f:
readme = f.read()
with open("LICENSE.txt") as f:
license = f.read()
setup(
name="analyse_phylome",
version="0.0.1",
description="Analyse phylome data",
long_description=readme,
url="https://github.com/giacomomutti/analyse_phylome",
author="Giacomo Mutti",
author_email="giaco98@hotmail.it",
license=license,
packages=find_packages(), # exclude=('tests', 'docs')),
zip_safe=False,
include_package_data=True,
)
| [
6738,
900,
37623,
10141,
1330,
9058,
11,
1064,
62,
43789,
628,
198,
4480,
1280,
7203,
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25,
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277,
13,
961,
3419,
198,
198,
4480,
1280,
7203,
43,
2149,
24290,
... | 2.45 | 220 |
n1 = int(input('Digite um numero: '))
n2 = int(input('Digite outro numero: '))
s = n1 + n2
# print('A soma entre ', n1, ' e ', n2, ' vale {}!'.format(s))
print('A soma entre {} e {} vale {}'.format(n1, n2, s))
| [
77,
16,
796,
493,
7,
15414,
10786,
19511,
578,
23781,
997,
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25,
705,
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198,
77,
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4008,
198,
82,
796,
299,
16,
1343,
299,
17,
198,
198,
2,
3601,
107... | 2.185567 | 97 |
from __future__ import unicode_literals
import six
import re
from .validator import Verdict, Validator
from .utils import force_text
default_user_regex = \
r"(^[-!#$%&'*+/=?^_`{}|~0-9A-Z]+(\.[-!#$%&'*+/=?^_`{}|~0-9A-Z]+)*$" \
r'|^"([\001-\010\013\014\016-\037!#-\[\]-\177]|\\[\001-\011\013\014\016-\177])*"$)'
# max length of the domain is 249: 254 (max email length) minus one
# period, two characters for the TLD, @ sign, & one character before @.
default_domain_regex = \
r'(?:[A-Z0-9](?:[A-Z0-9-]{0,247}[A-Z0-9])?\.)+(?:[A-Z]{2,6}|[A-Z0-9-]{2,}(?<!-))$'
| [
6738,
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198,
6738,
764,
26791,
1330,
2700,
62,
5239,
628,
198,
12286,
62,
... | 1.959184 | 294 |
"""
Copyright 2021 Esri
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
This sample demonstrates how tracks can be exported from AGOL to CSV files
"""
import argparse
import datetime
import pendulum
import logging
import logging.handlers
import os
import traceback
import sys
from arcgis.gis import GIS
def initialize_logging(log_file=None):
"""
Setup logging
:param log_file: (string) The file to log to
:return: (Logger) a logging instance
"""
# initialize logging
formatter = logging.Formatter(
"[%(asctime)s] [%(filename)30s:%(lineno)4s - %(funcName)30s()][%(threadName)5s] [%(name)10.10s] [%(levelname)8s] %(message)s")
# Grab the root logger
logger = logging.getLogger()
# Set the root logger logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
logger.setLevel(logging.DEBUG)
# Create a handler to print to the console
sh = logging.StreamHandler(sys.stdout)
sh.setFormatter(formatter)
sh.setLevel(logging.INFO)
# Create a handler to log to the specified file
if log_file:
rh = logging.handlers.RotatingFileHandler(log_file, mode='a', maxBytes=10485760)
rh.setFormatter(formatter)
rh.setLevel(logging.DEBUG)
logger.addHandler(rh)
# Add the handlers to the root logger
logger.addHandler(sh)
return logger
if __name__ == "__main__":
parser = argparse.ArgumentParser(
"This exports tracks from a track view or location tracking service hosted in AGOL")
parser.add_argument('-username', dest='username', help="The username to authenticate with", required=True)
parser.add_argument('-password', dest='password', help="The password to authenticate with", required=True)
parser.add_argument('-org', dest='org_url', help="The url of the org/portal to use", default="https://arcgis.com")
parser.add_argument('-track-item', dest='tracks_item',
help="The location tracking service or track view item to export",
required=True)
parser.add_argument('-track-age', dest='track_age', type=int, help="Number of previous full days of tracks to export", default=1)
parser.add_argument('-time-zone', dest='time_zone', help="The timezone to use", default='UTC')
parser.add_argument('-output-directory', dest='output_directory', help="The directory where the exported file will be stored", required=True)
parser.add_argument('-log-file', dest='log_file', help="The log file to write to (optional)")
args = parser.parse_args()
try:
main(args)
except Exception as e:
logging.getLogger().critical("Exception detected, script exiting")
logging.getLogger().critical(e)
logging.getLogger().critical(traceback.format_exc().replace("\n", " | "))
| [
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198,
220,
220,
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8678,
380,
198,
220,
220,
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739,
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11,
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362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
220,
220,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
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13,
... | 2.941071 | 1,120 |
"""This module is used for command line publishing of image sequences."""
import os
import logging
import subprocess
import platform
handler = logging.basicConfig()
log = logging.getLogger("Publish Image Sequences")
log.setLevel(logging.DEBUG)
error_format = "Failed {plugin.__name__}: {error} -- {error.traceback}"
if __name__ == '__main__':
__main__()
| [
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198,
198,
30281,
796,
18931,
13,
35487,
16934,
3419,
198,
6404,
796,
... | 3.279279 | 111 |
from google.cloud.proto.datastore.v1 import entity_pb2
from google.cloud.proto.datastore.v1 import query_pb2
import googledatastore
import apache_beam as beam
from datetime import datetime
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.io.gcp.datastore.v1.datastoreio import ReadFromDatastore
from apache_beam.io.gcp.datastore.v1.datastoreio import WriteToDatastore
project = '[GCLOUD_PROJECT]' # Replace [GCLOUD_PROJECT] with project
kind = 'President'
options = PipelineOptions(project=project)
p = beam.Pipeline(options=options)
lines = p | 'Read from Cloud Storage' >> beam.io.ReadFromText(
'gs://[GCLOUD_BUCKET]/usa_presidents.csv'
) # Replace [GCLOUD_BUCKET] with Cloud Storage bucket
entities = lines | 'To Entity' >> beam.Map(to_entity)
entities | 'Write To Datastore' >> WriteToDatastore(project)
# lines | 'Write to Cloud Storage' >> beam.io.WriteToText('gs://[GCLOUD_BUCKET]/out')
p.run().wait_until_finish()
| [
6738,
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382,
13,
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382,
13,
85,
16,
1330,
12405,
62,
40842,
17,
198,
11748,
467,
519,
99... | 2.786744 | 347 |
import numpy as np
from pennpaper import Metric, plot_group
xs = np.arange(0.1, 5, step=0.01)
uni_noise = lambda x: np.random.uniform(size=x.shape) + x
funcs = {}
funcs['uniform'] = lambda x: np.random.uniform(size=x.shape) + x
funcs['weibull'] = lambda x: np.random.weibull(a=1, size=x.shape) + x
funcs['beta'] = lambda x: np.random.beta(a=1, b=1, size=x.shape) + x
metrics = []
for name, f in funcs.items():
m = Metric(name=name)
for i in range(100):
m.add_arrays(uni_noise(xs), f(xs), new_sample=True)
metrics.append(m)
plot_group(metrics)
plot_group(metrics, name='true', smoothen=False) | [
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28,
15,
13,
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8,
198,
198,
35657,
62,
3919,
786,
... | 2.301115 | 269 |
from setuptools import setup
from Cython.Build import cythonize
setup(
name='libsgio',
version='0.0.4',
setup_requires=[
'setuptools>=45.0',
'Cython',
],
ext_modules = cythonize('libsgio.pyx')
)
| [
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198,
220,
220,
220,
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11639,
15,
13,
15,
13,
19,
3256,... | 2.12844 | 109 |
# python3
# coding=utf-8
# Copyright 2020 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""System test for dags.bq_to_ga_dag."""
import datetime
import os
from google.cloud import datastore
import pytest
from plugins.pipeline_plugins.utils import system_testing_utils
_AIRFLOW_HOME = 'AIRFLOW_HOME'
_TEST_DAG_NAME = 'tcrm_bq_to_ga'
_TEST_TASK_NAME = 'bq_to_ga_task'
_BQ_PROJECT_ID = 'bq_project_id'
_BQ_DATASET_ID = 'bq_dataset_id'
_BQ_TABLE_ID = 'bq_table_id'
_GA_TRACKING_ID = 'ga_tracking_id'
_BQ_CONN_DEFAULT = 'bigquery_default'
_GCD_CONN_DEFAULT = 'google_cloud_datastore_default'
_IS_RETRY = _TEST_DAG_NAME + '_is_retry'
_IS_RUN = _TEST_DAG_NAME + '_is_run'
@pytest.fixture(name='configuration')
@pytest.mark.systemtest
@pytest.mark.skipif(os.getenv('TEST_TYPE') != 'SYSTEM',
reason='Test isn''t running in system test environment.')
| [
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2,
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2,
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2,
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366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2... | 2.662813 | 519 |
#!/usr/bin/env python3
"""Re-arrange tree so that the two basal clades are in increasing and
decreasing node order, respectively. If the input tree is already midpoint-
rooted, the output tree will shape like a triangle.
Usage:
trianglize_tree.py input.nwk > output.nwk
"""
import sys
import fileinput
from skbio import TreeNode
if __name__ == '__main__':
main()
| [
2,
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14629,
14,
8800,
14,
24330,
21015,
18,
198,
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3041,
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10139,
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11,
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262,
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318,
1541,
3... | 3.107438 | 121 |
from sqlalchemy import create_engine, MetaData
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
# from app.settings import test_db
from app.settings import setting
# db_url = conf.get('db.url', 'pg_url')
# uri = f"postgresql://{test_db['user']}:{test_db['password']}@{test_db['host']}:{test_db['port']}/{test_db['database']}"
uri = setting.DB_URI
engine = create_engine(uri)
metadata = MetaData(bind=engine)
Base = declarative_base(bind=engine)
# 建表
# Base.metadata.create_all(bind=engine)
Session = sessionmaker(bind=engine)
# session = Session()
| [
6738,
44161,
282,
26599,
1330,
2251,
62,
18392,
11,
30277,
6601,
198,
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282,
26599,
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282,
26599,
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579,
1330,
6246,
10297,
198,
2,
422,
598,
... | 2.89372 | 207 |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-BASE 蓝鲸基础平台 is licensed under the MIT License.
License for BK-BASE 蓝鲸基础平台:
--------------------------------------------------------------------
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial
portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
"""
from bkbase.dataflow.batch.gateway import py_gateway
from bkbase.dataflow.batch.utils.batch_utils import (
date_to_timestamp,
generate_hdfs_path,
time_round_to_hour,
timestamp_to_date,
)
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
24893,
1087,
318,
10607,
284,
1104,
262,
1280,
2723,
2055,
416,
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347,
42,
12,
33,
11159,
5525,
241,
251,
165,
110,
116,
161,
253,
118,
163,
94,
222,
... | 3.336152 | 473 |
import numpy as np
import matplotlib.pyplot as plt
from scipy.io.wavfile import write
import wave
file = wave.open('Still.wav')
audio = file.readframes(-1)
audio = np.frombuffer (audio, dtype=np.int16)
#plt.plot(audio)
#plt.title("Still")
#plt.show()
alfa = np.array([1.,0.,0.,0])
audio_modificado = np.convolve(audio, alfa)
audio_modificado = audio_modificado.astype(np.int16)
write('Still_modificado.wav', 40000, audio_modificado)
plt.plot(audio_modificado)
plt.title("Still_modificado")
plt.show()
| [
11748,
299,
32152,
355,
45941,
201,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
201,
198,
6738,
629,
541,
88,
13,
952,
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1330,
3551,
201,
198,
11748,
6769,
201,
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201,
198,
7753,
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6769,
13,
96... | 2.31441 | 229 |
# -*- coding:utf-8 -*-
"""
@author: Alden
@email: sunzhenhy@gmail.com
@date: 2018/3/31
@version: 1.0.0.0
"""
if __name__ == "__main__":
s = Solution()
print s.isOneBitCharacter([1, 0, 0])
print s.isOneBitCharacter([1, 1, 1, 0])
print s.isOneBitCharacter([0, 1, 0])
| [
2,
532,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
198,
37811,
198,
31,
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25,
15586,
268,
198,
31,
12888,
25,
4252,
46732,
12114,
31,
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13,
785,
198,
31,
4475,
25,
2864,
14,
18,
14,
3132,
198,
31,
9641,
25,
352,
13,... | 2.167939 | 131 |
"""Per-prefix data, mapping each prefix to a dict of locale:name.
Auto-generated file, do not edit by hand.
"""
from ..util import u
# Copyright (C) 2011-2020 The Libphonenumber Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
data = {
'5939791':{'en': 'Movistar'},
'5939792':{'en': 'Movistar'},
'5939793':{'en': 'Movistar'},
'59398':{'en': 'Claro'},
'5939820':{'en': 'CNT'},
'5939821':{'en': 'CNT'},
'5939822':{'en': 'CNT'},
'5939823':{'en': 'CNT'},
'5939824':{'en': 'CNT'},
'593983':{'en': 'Movistar'},
'593984':{'en': 'Movistar'},
'593987':{'en': 'Movistar'},
'593990':{'en': 'Claro'},
'593991':{'en': 'Claro'},
'5939920':{'en': 'Claro'},
'5939921':{'en': 'Claro'},
'5939922':{'en': 'Claro'},
'5939923':{'en': 'Claro'},
'5939924':{'en': 'Claro'},
'5939925':{'en': 'Movistar'},
'5939926':{'en': 'Movistar'},
'5939927':{'en': 'Movistar'},
'5939928':{'en': 'Movistar'},
'5939929':{'en': 'Movistar'},
'593993':{'en': 'Claro'},
'593994':{'en': 'Claro'},
'593995':{'en': 'Movistar'},
'593996':{'en': 'CNT'},
'593997':{'en': 'Claro'},
'593998':{'en': 'Movistar'},
'5939990':{'en': 'Movistar'},
'5939991':{'en': 'Claro'},
'5939992':{'en': 'Movistar'},
'5939993':{'en': 'Claro'},
'5939994':{'en': 'Claro'},
'5939995':{'en': 'Claro'},
'5939996':{'en': 'Claro'},
'5939997':{'en': 'Movistar'},
'5939998':{'en': 'Movistar'},
'5939999':{'en': 'Movistar'},
'5946940':{'en': 'SFR'},
'59469408':{'en': 'Digicel'},
'59469409':{'en': 'Digicel'},
'59469412':{'en': 'Digicel'},
'59469413':{'en': 'Digicel'},
'59469414':{'en': 'Digicel'},
'59469415':{'en': 'Digicel'},
'59469416':{'en': 'Digicel'},
'59469417':{'en': 'SFR'},
'59469418':{'en': 'SFR'},
'59469419':{'en': 'SFR'},
'5946942':{'en': 'Orange'},
'5946943':{'en': 'Orange'},
'5946944':{'en': 'Orange'},
'59469446':{'en': 'SFR'},
'59469447':{'en': 'SFR'},
'5946949':{'en': 'Digicel'},
'59595':{'en': 'VOX'},
'59596':{'en': 'VOX'},
'59597':{'en': 'Personal'},
'595981':{'en': 'Tigo'},
'595982':{'en': 'Tigo'},
'595983':{'en': 'Tigo'},
'595984':{'en': 'Tigo'},
'595985':{'en': 'Tigo'},
'595986':{'en': 'Tigo'},
'59599':{'en': 'Claro'},
'5966960':{'en': 'SFR/Rife'},
'59669610':{'en': 'Digicel'},
'59669611':{'en': 'Digicel'},
'59669616':{'en': 'Digicel'},
'59669617':{'en': 'Digicel'},
'59669618':{'en': 'Digicel'},
'59669619':{'en': 'Digicel'},
'5966962':{'en': 'Orange'},
'5966963':{'en': 'Orange'},
'5966964':{'en': 'Orange'},
'59669650':{'en': 'Digicel'},
'59669651':{'en': 'Digicel'},
'59669652':{'en': 'Digicel'},
'59669653':{'en': 'Digicel'},
'59669654':{'en': 'Digicel'},
'59669655':{'en': 'Orange'},
'59669656':{'en': 'Orange'},
'5966966':{'en': 'SFR/Rife'},
'5966967':{'en': 'Digicel'},
'5966968':{'en': 'Orange'},
'59669687':{'en': 'SFR/Rife'},
'59669688':{'en': 'SFR/Rife'},
'59669689':{'en': 'SFR/Rife'},
'5966969':{'en': 'Digicel'},
'59669699':{'en': 'Orange'},
'596697':{'en': 'Digicel'},
'59771':{'en': 'Digicel'},
'59772':{'en': 'Digicel'},
'59774':{'en': 'Digicel'},
'59775':{'en': 'Telesur'},
'59776':{'en': 'Digicel'},
'597770':{'en': 'Telesur'},
'597771':{'en': 'Telesur'},
'597772':{'en': 'Telesur'},
'597773':{'en': 'Telesur'},
'597774':{'en': 'Telesur'},
'5978':{'en': 'Telesur'},
'59781':{'en': 'Digicel'},
'59782':{'en': 'Digicel'},
'59891':{'en': 'Antel'},
'59892':{'en': 'Antel'},
'59893':{'en': 'Movistar'},
'59894':{'en': 'Movistar'},
'59895':{'en': 'Movistar'},
'59896':{'en': 'Claro'},
'59897':{'en': 'Claro'},
'59898':{'en': 'Antel'},
'59899':{'en': 'Antel'},
'5993181':{'en': 'Telcell'},
'5993184':{'en': 'Telcell'},
'5993185':{'en': 'Telcell'},
'5993186':{'en': 'Telcell'},
'5993187':{'en': 'Telcell'},
'5993188':{'en': 'Telcell'},
'599319':{'en': 'WIC'},
'5994161':{'en': 'Telcell'},
'5994164':{'en': 'WIC'},
'5994165':{'en': 'WIC'},
'5994166':{'en': 'WIC'},
'5994167':{'en': 'WIC'},
'5994168':{'en': 'WIC'},
'5994169':{'en': 'Satel'},
'59970':{'en': 'Digicel'},
'59977':{'en': 'Kla'},
'59978':{'en': 'Digicel'},
'59979':{'en': 'Chippie'},
'599951':{'en': 'Chippie'},
'599952':{'en': 'Chippie'},
'599953':{'en': 'Chippie'},
'599954':{'en': 'Chippie'},
'599956':{'en': 'Chippie'},
'599957':{'en': 'Antelecom'},
'59996':{'en': 'Digicel'},
'60102':{'en': 'DiGi'},
'601030':{'en': 'Celcom'},
'601031':{'en': 'Celcom'},
'601032':{'en': 'Celcom'},
'601033':{'en': 'Celcom'},
'601034':{'en': 'Celcom'},
'601035':{'en': 'Webe'},
'601036':{'en': 'DiGi'},
'601037':{'en': 'DiGi'},
'601038':{'en': 'DiGi'},
'601039':{'en': 'DiGi'},
'601040':{'en': 'Celcom'},
'601041':{'en': 'Celcom'},
'601042':{'en': 'Maxis'},
'601043':{'en': 'Maxis'},
'601044':{'en': 'Webe'},
'601045':{'en': 'Webe'},
'601046':{'en': 'DiGi'},
'601050':{'en': 'Tune Talk'},
'601051':{'en': 'Tune Talk'},
'601052':{'en': 'Tune Talk'},
'601053':{'en': 'Tune Talk'},
'601054':{'en': 'Tune Talk'},
'601055':{'en': 'Webe'},
'601056':{'en': 'DiGi'},
'601057':{'en': 'Celcom'},
'601058':{'en': 'Celcom'},
'601059':{'en': 'Celcom'},
'601060':{'en': 'Baraka'},
'601061':{'en': 'Baraka'},
'601062':{'en': 'Baraka'},
'601063':{'en': 'Baraka'},
'601064':{'en': 'Baraka'},
'601065':{'en': 'Packcet One'},
'601066':{'en': 'DiGi'},
'601070':{'en': 'Maxis'},
'601071':{'en': 'Maxis'},
'601076':{'en': 'DiGi'},
'601077':{'en': 'Tune Talk'},
'601078':{'en': 'Tune Talk'},
'601079':{'en': 'Tune Talk'},
'601080':{'en': 'Tune Talk'},
'601081':{'en': 'Tune Talk'},
'601082':{'en': 'DiGi'},
'601083':{'en': 'XOX'},
'601084':{'en': 'XOX'},
'601085':{'en': 'XOX'},
'601086':{'en': 'XOX'},
'601087':{'en': 'XOX'},
'601088':{'en': 'DiGi'},
'601089':{'en': 'Maxis'},
'60109':{'en': 'DiGi'},
'6011100':{'en': 'Webe'},
'6011101':{'en': 'Webe'},
'6011102':{'en': 'Webe'},
'6011103':{'en': 'Webe'},
'6011104':{'en': 'Webe'},
'6011105':{'en': 'red ONE'},
'6011106':{'en': 'red ONE'},
'6011107':{'en': 'red ONE'},
'6011108':{'en': 'red ONE'},
'6011109':{'en': 'red ONE'},
'601111':{'en': 'U Mobile'},
'601112':{'en': 'Maxis'},
'6011130':{'en': 'XOX'},
'6011131':{'en': 'XOX'},
'6011132':{'en': 'XOX'},
'6011133':{'en': 'XOX'},
'6011134':{'en': 'XOX'},
'6011135':{'en': 'Baraka'},
'6011136':{'en': 'Baraka'},
'6011137':{'en': 'Baraka'},
'6011138':{'en': 'Baraka'},
'6011139':{'en': 'Baraka'},
'6011140':{'en': 'Maxis'},
'6011141':{'en': 'Maxis'},
'6011142':{'en': 'Maxis'},
'6011143':{'en': 'Maxis'},
'6011144':{'en': 'Maxis'},
'6011145':{'en': 'Celcom'},
'6011146':{'en': 'Celcom'},
'6011147':{'en': 'Celcom'},
'6011148':{'en': 'Celcom'},
'6011149':{'en': 'Celcom'},
'6011150':{'en': 'Tune Talk'},
'6011151':{'en': 'Tune Talk'},
'6011152':{'en': 'Tune Talk'},
'6011153':{'en': 'Tune Talk'},
'6011154':{'en': 'Tune Talk'},
'6011155':{'en': 'Celcom'},
'6011156':{'en': 'Celcom'},
'6011157':{'en': 'Celcom'},
'6011158':{'en': 'Celcom'},
'6011159':{'en': 'Celcom'},
'601116':{'en': 'DiGi'},
'6011170':{'en': 'YTL'},
'6011171':{'en': 'YTL'},
'6011172':{'en': 'YTL'},
'6011173':{'en': 'YTL'},
'6011174':{'en': 'YTL'},
'6011175':{'en': 'Maxis'},
'6011176':{'en': 'Maxis'},
'6011177':{'en': 'Maxis'},
'6011178':{'en': 'Maxis'},
'6011179':{'en': 'Maxis'},
'6011180':{'en': 'Telekom'},
'6011181':{'en': 'Telekom'},
'6011182':{'en': 'Telekom'},
'6011183':{'en': 'Telekom'},
'6011184':{'en': 'Telekom'},
'6011185':{'en': 'Tune Talk'},
'6011186':{'en': 'Tune Talk'},
'6011187':{'en': 'Tune Talk'},
'6011188':{'en': 'Tune Talk'},
'6011189':{'en': 'Tune Talk'},
'601119':{'en': 'Celcom'},
'6011200':{'en': 'DiGi'},
'6011201':{'en': 'DiGi'},
'6011202':{'en': 'DiGi'},
'6011203':{'en': 'DiGi'},
'6011204':{'en': 'DiGi'},
'6011205':{'en': 'XOX'},
'6011206':{'en': 'XOX'},
'6011207':{'en': 'XOX'},
'6011208':{'en': 'XOX'},
'6011209':{'en': 'XOX'},
'601121':{'en': 'U Mobile'},
'601122':{'en': 'DiGi'},
'601123':{'en': 'Maxis'},
'6011240':{'en': 'Maxis'},
'6011241':{'en': 'Maxis'},
'6011242':{'en': 'Maxis'},
'6011243':{'en': 'Maxis'},
'6011244':{'en': 'Maxis'},
'6011245':{'en': 'Celcom'},
'6011246':{'en': 'Celcom'},
'6011247':{'en': 'Celcom'},
'6011248':{'en': 'Celcom'},
'6011249':{'en': 'Celcom'},
'601125':{'en': 'Maxis'},
'601126':{'en': 'DiGi'},
'6011270':{'en': 'U Mobile'},
'6011271':{'en': 'U Mobile'},
'6011272':{'en': 'U Mobile'},
'6011273':{'en': 'U Mobile'},
'6011274':{'en': 'U Mobile'},
'6011275':{'en': 'Maxis'},
'6011276':{'en': 'Maxis'},
'6011277':{'en': 'Maxis'},
'6011278':{'en': 'Maxis'},
'6011279':{'en': 'Maxis'},
'601128':{'en': 'U Mobile'},
'601129':{'en': 'Celecom'},
'601130':{'en': 'YTL'},
'601131':{'en': 'DiGi'},
'601132':{'en': 'Celcom'},
'6011328':{'en': 'Altel'},
'601133':{'en': 'DiGi'},
'601134':{'en': 'Enabling Asia'},
'601135':{'en': 'Tune Talk'},
'601136':{'en': 'DiGi'},
'601137':{'en': 'U Mobile'},
'601138':{'en': 'U Mobile'},
'601139':{'en': 'U Mobile'},
'601140':{'en': 'Celcom'},
'601141':{'en': 'Celcom'},
'601142':{'en': 'U Mobile'},
'601150':{'en': 'DiGi'},
'601151':{'en': 'DiGi'},
'601152':{'en': 'Altel'},
'601153':{'en': 'Tune Talk'},
'601154':{'en': 'Celcom'},
'601155':{'en': 'red ONE'},
'6011560':{'en': 'Celcom'},
'6011561':{'en': 'Celcom'},
'6011562':{'en': 'Celcom'},
'6011563':{'en': 'Celcom'},
'6011564':{'en': 'Celcom'},
'6011565':{'en': 'XOX'},
'6011566':{'en': 'XOX'},
'6011567':{'en': 'XOX'},
'6011568':{'en': 'XOX'},
'6011569':{'en': 'XOX'},
'6011570':{'en': 'YTL'},
'6011571':{'en': 'YTL'},
'6011572':{'en': 'YTL'},
'6011573':{'en': 'YTL'},
'6011574':{'en': 'YTL'},
'6011575':{'en': 'XOX'},
'6011576':{'en': 'XOX'},
'6011577':{'en': 'XOX'},
'6011578':{'en': 'XOX'},
'6011579':{'en': 'XOX'},
'6011580':{'en': 'YTL'},
'6011581':{'en': 'YTL'},
'6011582':{'en': 'YTL'},
'6011583':{'en': 'YTL'},
'6011584':{'en': 'YTL'},
'6011585':{'en': 'XOX'},
'6011586':{'en': 'XOX'},
'6011587':{'en': 'XOX'},
'6011588':{'en': 'XOX'},
'6011589':{'en': 'XOX'},
'6011590':{'en': 'DiGi'},
'6011591':{'en': 'Webe'},
'6011592':{'en': 'Webe'},
'6011593':{'en': 'Webe'},
'6011594':{'en': 'Webe'},
'6011595':{'en': 'XOX'},
'6011596':{'en': 'XOX'},
'6011597':{'en': 'XOX'},
'6011598':{'en': 'XOX'},
'6011599':{'en': 'XOX'},
'601160':{'en': 'U Mobile'},
'601161':{'en': 'U Mobile'},
'6011620':{'en': 'U Mobile'},
'6011621':{'en': 'U Mobile'},
'6011622':{'en': 'U Mobile'},
'6011623':{'en': 'U Mobile'},
'6011624':{'en': 'U Mobile'},
'6011625':{'en': 'Webe'},
'6011626':{'en': 'Webe'},
'6011627':{'en': 'Webe'},
'6011628':{'en': 'Webe'},
'6011629':{'en': 'Webe'},
'601163':{'en': 'Webe'},
'6011636':{'en': 'U Mobile'},
'6011637':{'en': 'U Mobile'},
'6011638':{'en': 'U Mobile'},
'6011639':{'en': 'U Mobile'},
'601164':{'en': 'U Mobile'},
'6011646':{'en': 'DiGi'},
'6011647':{'en': 'DiGi'},
'6011648':{'en': 'DiGi'},
'6011649':{'en': 'Webe'},
'601165':{'en': 'Webe'},
'601166':{'en': 'Webe'},
'601167':{'en': 'Webe'},
'601168':{'en': 'Webe'},
'601169':{'en': 'U Mobile'},
'6011690':{'en': 'Webe'},
'6011691':{'en': 'Webe'},
'6011692':{'en': 'DiGi'},
'601170':{'en': 'DiGi'},
'6011700':{'en': 'U Mobile'},
'6011701':{'en': 'U Mobile'},
'6011702':{'en': 'U Mobile'},
'601171':{'en': 'Celecom'},
'6011710':{'en': 'DiGi'},
'6011711':{'en': 'DiGi'},
'601172':{'en': 'Maxis'},
'6012':{'en': 'Maxis'},
'60131':{'en': 'Celcom'},
'60132':{'en': 'Celcom'},
'60133':{'en': 'Celcom'},
'60134':{'en': 'Celcom'},
'60135':{'en': 'Celcom'},
'60136':{'en': 'Celcom'},
'60137':{'en': 'Celcom'},
'60138':{'en': 'Celcom'},
'60139':{'en': 'Celcom'},
'60142':{'en': 'Maxis'},
'60143':{'en': 'DiGi'},
'60144':{'en': 'Tune Talk'},
'60145':{'en': 'Celcom'},
'60146':{'en': 'DiGi'},
'60147':{'en': 'Maxis'},
'60148':{'en': 'Celcom'},
'60149':{'en': 'DiGi'},
'601591':{'en': 'DiGi'},
'601592':{'en': 'Celcom'},
'601596':{'en': 'DiGi'},
'6016':{'en': 'DiGi'},
'60171':{'en': 'Maxis'},
'60172':{'en': 'Maxis'},
'60173':{'en': 'Maxis'},
'60174':{'en': 'Maxis'},
'60175':{'en': 'Maxis'},
'60176':{'en': 'Maxis'},
'60177':{'en': 'Maxis'},
'60178':{'en': 'Maxis'},
'60179':{'en': 'Maxis'},
'6018120':{'en': 'U Mobile'},
'6018130':{'en': 'U Mobile'},
'60182':{'en': 'U Mobile'},
'60183':{'en': 'U Mobile'},
'601830':{'en': 'YTL'},
'601833':{'en': 'YTL'},
'601834':{'en': 'YTL'},
'60184':{'en': 'U Mobile'},
'601857':{'en': 'U Mobile'},
'601858':{'en': 'YTL'},
'601859':{'en': 'YTL'},
'60186':{'en': 'YTL'},
'601866':{'en': 'U Mobile'},
'601870':{'en': 'YTL'},
'601871':{'en': 'YTL'},
'601876':{'en': 'U Mobile'},
'601877':{'en': 'U Mobile'},
'601878':{'en': 'U Mobile'},
'6018790':{'en': 'U Mobile'},
'6018791':{'en': 'U Mobile'},
'6018792':{'en': 'U Mobile'},
'6018793':{'en': 'U Mobile'},
'6018794':{'en': 'U Mobile'},
'6018795':{'en': 'YTL'},
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'669089':{'en': 'True Move'},
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'6693797':{'en': 'True Move'},
'6693798':{'en': 'True Move'},
'6693799':{'en': 'True Move'},
'66938':{'en': 'True Move'},
'66939':{'en': 'True Move'},
'6694':{'en': 'DTAC'},
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'66941':{'en': 'True Move'},
'669420':{'en': 'True Move'},
'669421':{'en': 'True Move'},
'669422':{'en': 'True Move'},
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'669515':{'en': 'AIS'},
'6695200':{'en': 'AIS'},
'6695201':{'en': 'AIS'},
'6695202':{'en': 'AIS'},
'6695244':{'en': 'AIS'},
'6695245':{'en': 'AIS'},
'669530':{'en': 'AIS'},
'6695377':{'en': 'AIS'},
'6695378':{'en': 'AIS'},
'6695379':{'en': 'AIS'},
'6695380':{'en': 'AIS'},
'6696':{'en': 'True Move'},
'66970':{'en': 'True Move'},
'66971':{'en': 'True Move'},
'66972':{'en': 'True Move'},
'66973':{'en': 'True Move'},
'669736':{'en': 'TOT Mobile'},
'669737':{'en': 'TOT Mobile'},
'669738':{'en': 'TOT Mobile'},
'669739':{'en': 'TOT Mobile'},
'66974':{'en': 'TOT Mobile'},
'66975':{'en': 'TOT Mobile'},
'66976':{'en': 'TOT Mobile'},
'66977':{'en': 'TOT Mobile'},
'66978':{'en': 'TOT Mobile'},
'66979':{'en': 'AIS'},
'669790':{'en': 'TOT Mobile'},
'669791':{'en': 'TOT Mobile'},
'6698':{'en': 'AIS'},
'66990':{'en': 'DTAC'},
'669900':{'en': 'AIS'},
'669901':{'en': 'AIS'},
'66991':{'en': 'DTAC'},
'66992':{'en': 'DTAC'},
'66993':{'en': 'DTAC'},
'66994':{'en': 'DTAC'},
'66995':{'en': 'True Move'},
'669950':{'en': 'DTAC'},
'66996':{'en': 'True Move'},
'66997':{'en': 'True Move'},
'66998':{'en': 'True Move'},
'66999':{'en': 'True Move'},
'67072':{'en': 'Timor Telecom'},
'67073':{'en': 'Telkomcel'},
'67074':{'en': 'Telkomcel'},
'67075':{'en': 'Viettel (Telemor brand)'},
'67076':{'en': 'Viettel (Telemor brand)'},
'67077':{'en': 'Timor Telecom'},
'67078':{'en': 'Timor Telecom'},
'67214':{'en': 'REACH'},
'67235':{'en': 'Norfolk Telecom'},
'67238':{'en': 'Norfolk Telecom'},
'673228':{'en': 'DSTCom'},
'673229':{'en': 'DSTCom'},
'67371':{'en': 'DSTCom'},
'67372':{'en': 'DSTCom'},
'67373':{'en': 'DSTCom'},
'67377':{'en': 'DSTCom'},
'67381':{'en': 'Progresif Cellular'},
'67382':{'en': 'Progresif Cellular'},
'67383':{'en': 'Progresif Cellular'},
'67386':{'en': 'DSTCom'},
'67387':{'en': 'DSTCom'},
'67388':{'en': 'DSTCom'},
'67389':{'en': 'DSTCom'},
'674553':{'en': 'Digicel'},
'674554':{'en': 'Digicel'},
'674556':{'en': 'Digicel'},
'674557':{'en': 'Digicel'},
'674558':{'en': 'Digicel'},
'674559':{'en': 'Digicel'},
'6746':{'en': 'Digicel'},
'6748':{'en': 'FSM Telecom'},
'67570':{'en': 'Digicel'},
'67571':{'en': 'Digicel'},
'67572':{'en': 'Digicel'},
'67573':{'en': 'Digicel'},
'67574':{'en': 'Digicel'},
'67575':{'en': 'bmobile'},
'67576':{'en': 'bmobile'},
'6757731':{'en': 'Telikom'},
'6757732':{'en': 'Telikom'},
'6757733':{'en': 'Telikom'},
'6757734':{'en': 'Telikom'},
'6757735':{'en': 'Telikom'},
'6757736':{'en': 'Telikom'},
'6757737':{'en': 'Telikom'},
'6757738':{'en': 'Telikom'},
'6757739':{'en': 'Telikom'},
'675775':{'en': 'Telikom'},
'675776':{'en': 'Telikom'},
'675777':{'en': 'Telikom'},
'675778':{'en': 'Telikom'},
'675779':{'en': 'Telikom'},
'67578':{'en': 'Telikom'},
'67579':{'en': 'Digicel'},
'67581':{'en': 'DIGIVOIP'},
'67588':{'en': 'Digicel'},
'67668':{'en': 'Digicel'},
'67670':{'en': 'Digicel'},
'67672':{'en': 'U-Call Tonga'},
'67673':{'en': 'U-Call Tonga'},
'67674':{'en': 'U-Call Tonga'},
'67675':{'en': 'U-Call Tonga'},
'67676':{'en': 'U-Call Tonga'},
'67677':{'en': 'U-Call Tonga'},
'67678':{'en': 'U-Call Tonga'},
'67679':{'en': 'U-Call Tonga'},
'67684':{'en': 'Digicel'},
'67686':{'en': 'Digicel'},
'67687':{'en': 'Digicel'},
'67688':{'en': 'Digicel'},
'67689':{'en': 'Digicel'},
'6777':{'en': 'Solomon Telekom'},
'6778':{'en': 'BMobile'},
'6779':{'en': 'Smile'},
'67791':{'en': 'Satsol'},
'67792':{'en': 'Satsol'},
'67793':{'en': 'Satsol'},
'6785':{'en': 'Digicel'},
'6787':{'en': 'Telecom Vanuatu Ltd'},
'6792':{'en': 'Vodafone'},
'6794':{'en': 'Vodafone'},
'67950':{'en': 'Digicel'},
'67951':{'en': 'Digicel'},
'67955':{'en': 'Digicel'},
'67956':{'en': 'Digicel'},
'67958':{'en': 'Vodafone'},
'6797':{'en': 'Digicel'},
'67980':{'en': 'Vodafone'},
'67983':{'en': 'Vodafone'},
'67984':{'en': 'Vodafone'},
'67986':{'en': 'Vodafone'},
'67987':{'en': 'Vodafone'},
'67989':{'en': 'Vodafone'},
'6799':{'en': 'Vodafone'},
'68045':{'en': 'PMCI'},
'68077':{'en': 'PalauCel'},
'68088':{'en': 'PalauTel'},
'6817':{'en': u('Service des Postes et T\u00e9l\u00e9communications')},
'68182':{'en': u('Service des Postes et T\u00e9l\u00e9communications')},
'68183':{'en': u('Service des Postes et T\u00e9l\u00e9communications')},
'6825':{'en': 'Bluesky'},
'6827':{'en': 'Bluesky'},
'6828':{'en': 'Bluesky'},
'6838':{'en': 'Telecom Niue'},
'68572':{'en': 'Digicel'},
'68573':{'en': 'Digicel'},
'68575':{'en': 'Bluesky'},
'68576':{'en': 'Bluesky'},
'68577':{'en': 'Digicel'},
'68583':{'en': 'Digicel'},
'68584':{'en': 'Digicel'},
'68585':{'en': 'Digicel'},
'68586':{'en': 'Digicel'},
'68587':{'en': 'Digicel'},
'68662':{'en': 'Ocean Link'},
'68663':{'en': 'Ocean Link'},
'686720':{'en': 'ATHKL'},
'686730':{'en': 'ATHKL'},
'6867314':{'en': 'ATHKL'},
'6875':{'en': 'OPT-NC'},
'6877':{'en': 'OPT-NC'},
'68780':{'en': 'OPT-NC'},
'68781':{'en': 'OPT-NC'},
'68782':{'en': 'OPT-NC'},
'68783':{'en': 'OPT-NC'},
'68784':{'en': 'OPT-NC'},
'68785':{'en': 'OPT-NC'},
'68786':{'en': 'OPT-NC'},
'68787':{'en': 'OPT-NC'},
'68789':{'en': 'OPT-NC'},
'6879':{'en': 'OPT-NC'},
'6887':{'en': 'Tuvalu Telecom'},
'6889':{'en': 'Tuvalu Telecom'},
'68987':{'en': 'Vini'},
'68988':{'en': 'Viti'},
'68989':{'en': 'Vodafone'},
'6907':{'en': 'Teletok telecommunications'},
'6918':{'en': 'FSMTC'},
'691920':{'en': 'FSMTC'},
'691921':{'en': 'FSMTC'},
'691922':{'en': 'FSMTC'},
'691923':{'en': 'FSMTC'},
'691924':{'en': 'FSMTC'},
'691925':{'en': 'FSMTC'},
'691926':{'en': 'FSMTC'},
'691930':{'en': 'FSMTC'},
'691931':{'en': 'FSMTC'},
'691932':{'en': 'FSMTC'},
'691933':{'en': 'FSMTC'},
'69195':{'en': 'FSMTC'},
'69197':{'en': 'FSMTC'},
'69223':{'en': 'National Telecommunications Authority'},
'6923':{'en': 'National Telecommunications Authority'},
'6924':{'en': 'National Telecommunications Authority'},
'69254':{'en': 'National Telecommunications Authority'},
'7700':{'en': 'Altel', 'ru': u('\u0410\u041b\u0422\u0415\u041b')},
'7701':{'en': 'Kcell/Activ', 'ru': 'Kcell/Activ'},
'7702':{'en': 'Kcell/Activ', 'ru': 'Kcell/Activ'},
'7705':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7706':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7707':{'en': 'Tele2', 'ru': 'Tele2'},
'7708':{'en': 'Altel', 'ru': u('\u0410\u041b\u0422\u0415\u041b')},
'774':{'en': 'Tele2', 'ru': 'Tele2'},
'7760':{'en': 'Kulan', 'ru': u('\u041a\u0443\u043b\u0430\u043d')},
'7762':{'en': 'Nursat', 'ru': u('\u041d\u0423\u0420\u0421\u0410\u0422')},
'7763':{'en': 'Arna', 'ru': u('\u0410\u0440\u043d\u0430')},
'7764':{'en': '2Day Telecom', 'ru': '2Day Telecom'},
'7771':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7775':{'en': 'Kcell/Activ', 'ru': 'Kcell/Activ'},
'7776':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7777':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7778':{'en': 'Kcell/Activ', 'ru': 'Kcell/Activ'},
'778':{'en': 'Darkhan Telecom', 'ru': u('\u0414\u0430\u0440\u0445\u0430\u043d \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'79000':{'en': 'Tele2', 'ru': 'Tele2'},
'790003':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790004':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79001':{'en': 'Tele2', 'ru': 'Tele2'},
'7900197':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900198':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900199':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79002':{'en': 'Tele2', 'ru': 'Tele2'},
'790020':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790021':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790030':{'en': 'Tele2', 'ru': 'Tele2'},
'790031':{'en': 'Tele2', 'ru': 'Tele2'},
'790032':{'en': 'Tele2', 'ru': 'Tele2'},
'7900330':{'en': 'Tele2', 'ru': 'Tele2'},
'7900331':{'en': 'Tele2', 'ru': 'Tele2'},
'7900332':{'en': 'Tele2', 'ru': 'Tele2'},
'7900333':{'en': 'Tele2', 'ru': 'Tele2'},
'7900334':{'en': 'Tele2', 'ru': 'Tele2'},
'7900335':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900336':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900337':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900338':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900339':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900340':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900341':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900342':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900343':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900344':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7900345':{'en': 'Tele2', 'ru': 'Tele2'},
'7900346':{'en': 'Tele2', 'ru': 'Tele2'},
'7900347':{'en': 'Tele2', 'ru': 'Tele2'},
'7900348':{'en': 'Tele2', 'ru': 'Tele2'},
'7900349':{'en': 'Tele2', 'ru': 'Tele2'},
'790035':{'en': 'Tele2', 'ru': 'Tele2'},
'790036':{'en': 'Tele2', 'ru': 'Tele2'},
'7900370':{'en': 'Tele2', 'ru': 'Tele2'},
'7900371':{'en': 'Tele2', 'ru': 'Tele2'},
'7900372':{'en': 'Tele2', 'ru': 'Tele2'},
'7900373':{'en': 'Tele2', 'ru': 'Tele2'},
'7900374':{'en': 'Tele2', 'ru': 'Tele2'},
'7900375':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900376':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900377':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900378':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900379':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790038':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790039':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900400':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900401':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900402':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900403':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900404':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7900405':{'en': 'Tele2', 'ru': 'Tele2'},
'7900406':{'en': 'Tele2', 'ru': 'Tele2'},
'7900407':{'en': 'Tele2', 'ru': 'Tele2'},
'7900408':{'en': 'Tele2', 'ru': 'Tele2'},
'7900409':{'en': 'Tele2', 'ru': 'Tele2'},
'790041':{'en': 'Tele2', 'ru': 'Tele2'},
'790042':{'en': 'Tele2', 'ru': 'Tele2'},
'790043':{'en': 'Tele2', 'ru': 'Tele2'},
'790044':{'en': 'Tele2', 'ru': 'Tele2'},
'790045':{'en': 'Tele2', 'ru': 'Tele2'},
'790046':{'en': 'Tele2', 'ru': 'Tele2'},
'79004650':{'en': 'Gazprom Telekom', 'ru': u('\u041e\u041e\u041e \u0413\u0430\u0437\u043f\u0440\u043e\u043c \u0442\u0435\u043b\u0435\u043a\u043e\u043c')},
'79004651':{'en': 'Sim Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0418\u041c \u0422\u0415\u041b\u0415\u041a\u041e\u041c')},
'79004652':{'en': 'Sim Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0418\u041c \u0422\u0415\u041b\u0415\u041a\u041e\u041c')},
'79004653':{'en': 'Sim Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0418\u041c \u0422\u0415\u041b\u0415\u041a\u041e\u041c')},
'79004654':{'en': 'Sim Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0418\u041c \u0422\u0415\u041b\u0415\u041a\u041e\u041c')},
'790047':{'en': 'Tele2', 'ru': 'Tele2'},
'7900480':{'en': 'Tele2', 'ru': 'Tele2'},
'7900481':{'en': 'Tele2', 'ru': 'Tele2'},
'7900482':{'en': 'Tele2', 'ru': 'Tele2'},
'7900483':{'en': 'Tele2', 'ru': 'Tele2'},
'7900484':{'en': 'Tele2', 'ru': 'Tele2'},
'7900485':{'en': 'Tele2', 'ru': 'Tele2'},
'7900486':{'en': 'Tele2', 'ru': 'Tele2'},
'7900487':{'en': 'Tele2', 'ru': 'Tele2'},
'7900488':{'en': 'Tele2', 'ru': 'Tele2'},
'790049':{'en': 'Tele2', 'ru': 'Tele2'},
'79005':{'en': 'Tele2', 'ru': 'Tele2'},
'79006':{'en': 'Tele2', 'ru': 'Tele2'},
'79007':{'en': 'Antares', 'ru': u('\u041e\u041e\u041e \u0410\u043d\u0442\u0430\u0440\u0435\u0441')},
'79009':{'en': 'Tele2', 'ru': 'Tele2'},
'7900900':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790100':{'en': 'Tele2', 'ru': 'Tele2'},
'7901010':{'en': 'Tele2', 'ru': 'Tele2'},
'7901011':{'en': 'Tele2', 'ru': 'Tele2'},
'7901012':{'en': 'Tele2', 'ru': 'Tele2'},
'79010130':{'en': 'Tele2', 'ru': 'Tele2'},
'79010131':{'en': 'Tele2', 'ru': 'Tele2'},
'79010132':{'en': 'Tele2', 'ru': 'Tele2'},
'79010133':{'en': 'Tele2', 'ru': 'Tele2'},
'79010134':{'en': 'Tele2', 'ru': 'Tele2'},
'79010135':{'en': 'Tele2', 'ru': 'Tele2'},
'79010136':{'en': 'Tele2', 'ru': 'Tele2'},
'7901014':{'en': 'Tele2', 'ru': 'Tele2'},
'7901015':{'en': 'Tele2', 'ru': 'Tele2'},
'7901016':{'en': 'Tele2', 'ru': 'Tele2'},
'7901017':{'en': 'Tele2', 'ru': 'Tele2'},
'7901018':{'en': 'Tele2', 'ru': 'Tele2'},
'7901019':{'en': 'Tele2', 'ru': 'Tele2'},
'790105':{'en': 'Tele2', 'ru': 'Tele2'},
'790108':{'en': 'MTS', 'ru': 'MTS'},
'7901110':{'en': 'Tele2', 'ru': 'Tele2'},
'7901111':{'en': 'Tele2', 'ru': 'Tele2'},
'7901112':{'en': 'Tele2', 'ru': 'Tele2'},
'7901113':{'en': 'Tele2', 'ru': 'Tele2'},
'7901114':{'en': 'Tele2', 'ru': 'Tele2'},
'7901115':{'en': 'Tele2', 'ru': 'Tele2'},
'7901117':{'en': 'Tele2', 'ru': 'Tele2'},
'7901118':{'en': 'Tele2', 'ru': 'Tele2'},
'7901119':{'en': 'Tele2', 'ru': 'Tele2'},
'7901120':{'en': 'Tele2', 'ru': 'Tele2'},
'7901121':{'en': 'Tele2', 'ru': 'Tele2'},
'7901122':{'en': 'Tele2', 'ru': 'Tele2'},
'7901123':{'en': 'Tele2', 'ru': 'Tele2'},
'7901125':{'en': 'Tele2', 'ru': 'Tele2'},
'7901126':{'en': 'Tele2', 'ru': 'Tele2'},
'7901127':{'en': 'Tele2', 'ru': 'Tele2'},
'7901128':{'en': 'Tele2', 'ru': 'Tele2'},
'7901129':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7901130':{'en': 'Tele2', 'ru': 'Tele2'},
'7901131':{'en': 'Tele2', 'ru': 'Tele2'},
'7901134':{'en': 'Tele2', 'ru': 'Tele2'},
'7901135':{'en': 'Tele2', 'ru': 'Tele2'},
'7901136':{'en': 'Tele2', 'ru': 'Tele2'},
'7901137':{'en': 'Tele2', 'ru': 'Tele2'},
'7901138':{'en': 'Tele2', 'ru': 'Tele2'},
'7901140':{'en': 'Tele2', 'ru': 'Tele2'},
'7901141':{'en': 'Tele2', 'ru': 'Tele2'},
'7901144':{'en': 'Tele2', 'ru': 'Tele2'},
'7901145':{'en': 'Tele2', 'ru': 'Tele2'},
'7901149':{'en': 'Tele2', 'ru': 'Tele2'},
'7901150':{'en': 'Tele2', 'ru': 'Tele2'},
'7901151':{'en': 'Sberbank-Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a-\u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'7901152':{'en': 'MTS', 'ru': 'MTS'},
'7901156':{'en': 'Tele2', 'ru': 'Tele2'},
'7901157':{'en': 'Tele2', 'ru': 'Tele2'},
'7901158':{'en': 'Apex Telecom', 'ru': u('\u0410\u041e \u0410\u041f\u0415\u041a\u0421')},
'790117':{'en': 'Tele2', 'ru': 'Tele2'},
'790118':{'en': 'Tele2', 'ru': 'Tele2'},
'790119':{'en': 'Tele2', 'ru': 'Tele2'},
'790120':{'en': 'Tele2', 'ru': 'Tele2'},
'7901202':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7901210':{'en': 'Tele2', 'ru': 'Tele2'},
'7901220':{'en': 'Tele2', 'ru': 'Tele2'},
'7901221':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7901222':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7901230':{'en': 'Tele2', 'ru': 'Tele2'},
'7901234':{'en': 'Tele2', 'ru': 'Tele2'},
'7901235':{'en': 'Tele2', 'ru': 'Tele2'},
'7901236':{'en': 'Tele2', 'ru': 'Tele2'},
'7901237':{'en': 'Tele2', 'ru': 'Tele2'},
'7901238':{'en': 'Tele2', 'ru': 'Tele2'},
'7901239':{'en': 'Tele2', 'ru': 'Tele2'},
'7901240':{'en': 'Tele2', 'ru': 'Tele2'},
'7901241':{'en': 'Tele2', 'ru': 'Tele2'},
'7901242':{'en': 'Tele2', 'ru': 'Tele2'},
'7901243':{'en': 'Tele2', 'ru': 'Tele2'},
'790125':{'en': 'Apex Telecom', 'ru': u('\u0410\u041e \u0410\u041f\u0415\u041a\u0421')},
'790127':{'en': 'Tele2', 'ru': 'Tele2'},
'790128':{'en': 'Tele2', 'ru': 'Tele2'},
'790129':{'en': 'Tele2', 'ru': 'Tele2'},
'79013':{'en': 'Tele2', 'ru': 'Tele2'},
'790140':{'en': 'Tele2', 'ru': 'Tele2'},
'7901410':{'en': 'Tele2', 'ru': 'Tele2'},
'7901412':{'en': 'Tele2', 'ru': 'Tele2'},
'7901413':{'en': 'Tele2', 'ru': 'Tele2'},
'7901414':{'en': 'Tele2', 'ru': 'Tele2'},
'7901415':{'en': 'MTS', 'ru': 'MTS'},
'7901416':{'en': 'MTS', 'ru': 'MTS'},
'7901418':{'en': 'MTS', 'ru': 'MTS'},
'7901419':{'en': 'Tele2', 'ru': 'Tele2'},
'790142':{'en': 'Tele2', 'ru': 'Tele2'},
'790143':{'en': 'Tele2', 'ru': 'Tele2'},
'790145':{'en': 'Tele2', 'ru': 'Tele2'},
'7901460':{'en': 'Tele2', 'ru': 'Tele2'},
'7901461':{'en': 'Tele2', 'ru': 'Tele2'},
'7901462':{'en': 'Tele2', 'ru': 'Tele2'},
'7901463':{'en': 'Tele2', 'ru': 'Tele2'},
'7901464':{'en': 'Tele2', 'ru': 'Tele2'},
'7901465':{'en': 'Tele2', 'ru': 'Tele2'},
'7901466':{'en': 'Tele2', 'ru': 'Tele2'},
'7901470':{'en': 'Tele2', 'ru': 'Tele2'},
'7901471':{'en': 'Tele2', 'ru': 'Tele2'},
'7901475':{'en': 'MTS', 'ru': 'MTS'},
'7901476':{'en': 'MTS', 'ru': 'MTS'},
'7901477':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7901478':{'en': 'MTS', 'ru': 'MTS'},
'7901479':{'en': 'Tele2', 'ru': 'Tele2'},
'790148':{'en': 'Tele2', 'ru': 'Tele2'},
'79015':{'en': 'Tele2', 'ru': 'Tele2'},
'790160':{'en': 'Tele2', 'ru': 'Tele2'},
'790161':{'en': 'Tele2', 'ru': 'Tele2'},
'7901621':{'en': 'Tele2', 'ru': 'Tele2'},
'7901623':{'en': 'Tele2', 'ru': 'Tele2'},
'7901624':{'en': 'Tele2', 'ru': 'Tele2'},
'7901625':{'en': 'Tele2', 'ru': 'Tele2'},
'7901626':{'en': 'Dani CALL', 'ru': u('\u041e\u041e\u041e \u0414\u042d\u041d\u0418 \u041a\u041e\u041b\u041b')},
'7901627':{'en': 'Dani CALL', 'ru': u('\u041e\u041e\u041e \u0414\u042d\u041d\u0418 \u041a\u041e\u041b\u041b')},
'7901628':{'en': 'Dani CALL', 'ru': u('\u041e\u041e\u041e \u0414\u042d\u041d\u0418 \u041a\u041e\u041b\u041b')},
'7901630':{'en': 'Tele2', 'ru': 'Tele2'},
'7901631':{'en': 'Tele2', 'ru': 'Tele2'},
'7901632':{'en': 'Tele2', 'ru': 'Tele2'},
'7901633':{'en': 'Tele2', 'ru': 'Tele2'},
'7901634':{'en': 'Tele2', 'ru': 'Tele2'},
'7901635':{'en': 'Tele2', 'ru': 'Tele2'},
'7901640':{'en': 'Tele2', 'ru': 'Tele2'},
'7901641':{'en': 'Tele2', 'ru': 'Tele2'},
'7901642':{'en': 'Tele2', 'ru': 'Tele2'},
'7901644':{'en': 'Tele2', 'ru': 'Tele2'},
'7901645':{'en': 'Tele2', 'ru': 'Tele2'},
'7901646':{'en': 'Tele2', 'ru': 'Tele2'},
'7901647':{'en': 'Tele2', 'ru': 'Tele2'},
'790165':{'en': 'Tele2', 'ru': 'Tele2'},
'790166':{'en': 'Tele2', 'ru': 'Tele2'},
'790167':{'en': 'Tele2', 'ru': 'Tele2'},
'790168':{'en': 'Tele2', 'ru': 'Tele2'},
'790169':{'en': 'Tele2', 'ru': 'Tele2'},
'79017':{'en': 'Tele2', 'ru': 'Tele2'},
'790180':{'en': 'Tele2', 'ru': 'Tele2'},
'7901808':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'790181':{'en': 'MTS', 'ru': 'MTS'},
'7901820':{'en': 'Tele2', 'ru': 'Tele2'},
'7901821':{'en': 'Tele2', 'ru': 'Tele2'},
'7901822':{'en': 'Tele2', 'ru': 'Tele2'},
'7901847':{'en': 'Tele2', 'ru': 'Tele2'},
'790185':{'en': 'Tele2', 'ru': 'Tele2'},
'790186':{'en': 'Tele2', 'ru': 'Tele2'},
'7901870':{'en': 'Tele2', 'ru': 'Tele2'},
'7901871':{'en': 'Tele2', 'ru': 'Tele2'},
'79019':{'en': 'Tele2', 'ru': 'Tele2'},
'79020':{'en': 'Tele2', 'ru': 'Tele2'},
'790205':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790206':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790207':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790208':{'en': 'MTS', 'ru': 'MTS'},
'79021':{'en': 'Tele2', 'ru': 'Tele2'},
'790211':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79022':{'en': 'Tele2', 'ru': 'Tele2'},
'790220':{'en': 'MTS', 'ru': 'MTS'},
'790222':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902240':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902241':{'en': 'MTS', 'ru': 'MTS'},
'7902242':{'en': 'MTS', 'ru': 'MTS'},
'7902243':{'en': 'MTS', 'ru': 'MTS'},
'7902249':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790229':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790230':{'en': 'Tele2', 'ru': 'Tele2'},
'7902310':{'en': 'Tele2', 'ru': 'Tele2'},
'7902311':{'en': 'Tele2', 'ru': 'Tele2'},
'7902312':{'en': 'Tele2', 'ru': 'Tele2'},
'7902313':{'en': 'Tele2', 'ru': 'Tele2'},
'7902314':{'en': 'Tele2', 'ru': 'Tele2'},
'7902315':{'en': 'MTS', 'ru': 'MTS'},
'7902316':{'en': 'MTS', 'ru': 'MTS'},
'7902317':{'en': 'MTS', 'ru': 'MTS'},
'7902318':{'en': 'MTS', 'ru': 'MTS'},
'7902319':{'en': 'MTS', 'ru': 'MTS'},
'790232':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902325':{'en': 'Tele2', 'ru': 'Tele2'},
'7902326':{'en': 'Tele2', 'ru': 'Tele2'},
'7902329':{'en': 'Tele2', 'ru': 'Tele2'},
'790233':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790234':{'en': 'MTS', 'ru': 'MTS'},
'7902350':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902351':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902352':{'en': 'MTS', 'ru': 'MTS'},
'7902353':{'en': 'MTS', 'ru': 'MTS'},
'7902354':{'en': 'MTS', 'ru': 'MTS'},
'7902355':{'en': 'Tele2', 'ru': 'Tele2'},
'7902356':{'en': 'Tele2', 'ru': 'Tele2'},
'7902357':{'en': 'Tele2', 'ru': 'Tele2'},
'7902358':{'en': 'Tele2', 'ru': 'Tele2'},
'7902359':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790236':{'en': 'Tele2', 'ru': 'Tele2'},
'790237':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790238':{'en': 'Tele2', 'ru': 'Tele2'},
'790239':{'en': 'Tele2', 'ru': 'Tele2'},
'7902400':{'en': 'Tele2', 'ru': 'Tele2'},
'7902403':{'en': 'Tele2', 'ru': 'Tele2'},
'7902404':{'en': 'Tele2', 'ru': 'Tele2'},
'7902405':{'en': 'Tele2', 'ru': 'Tele2'},
'7902406':{'en': 'Tele2', 'ru': 'Tele2'},
'7902407':{'en': 'Tele2', 'ru': 'Tele2'},
'7902408':{'en': 'Tele2', 'ru': 'Tele2'},
'7902409':{'en': 'Tele2', 'ru': 'Tele2'},
'790241':{'en': 'Tele2', 'ru': 'Tele2'},
'7902420':{'en': 'Tele2', 'ru': 'Tele2'},
'7902421':{'en': 'Tele2', 'ru': 'Tele2'},
'7902422':{'en': 'Tele2', 'ru': 'Tele2'},
'7902423':{'en': 'Tele2', 'ru': 'Tele2'},
'7902425':{'en': 'Tele2', 'ru': 'Tele2'},
'7902426':{'en': 'Tele2', 'ru': 'Tele2'},
'7902427':{'en': 'Tele2', 'ru': 'Tele2'},
'7902428':{'en': 'Tele2', 'ru': 'Tele2'},
'7902429':{'en': 'Tele2', 'ru': 'Tele2'},
'790243':{'en': 'Tele2', 'ru': 'Tele2'},
'790244':{'en': 'Tele2', 'ru': 'Tele2'},
'790245':{'en': 'Tele2', 'ru': 'Tele2'},
'7902461':{'en': 'Tele2', 'ru': 'Tele2'},
'7902462':{'en': 'Tele2', 'ru': 'Tele2'},
'7902463':{'en': 'Tele2', 'ru': 'Tele2'},
'7902464':{'en': 'Tele2', 'ru': 'Tele2'},
'7902465':{'en': 'Tele2', 'ru': 'Tele2'},
'7902466':{'en': 'Tele2', 'ru': 'Tele2'},
'7902467':{'en': 'Tele2', 'ru': 'Tele2'},
'7902468':{'en': 'Tele2', 'ru': 'Tele2'},
'790247':{'en': 'Tele2', 'ru': 'Tele2'},
'790248':{'en': 'Tele2', 'ru': 'Tele2'},
'790249':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79025':{'en': 'Tele2', 'ru': 'Tele2'},
'790252':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790255':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790259':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79026':{'en': 'Tele2', 'ru': 'Tele2'},
'7902660':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902661':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902662':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902663':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902665':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79027':{'en': 'Tele2', 'ru': 'Tele2'},
'7902710':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7902711':{'en': 'TMT', 'ru': 'TMT'},
'7902712':{'en': 'MTS', 'ru': 'MTS'},
'7902713':{'en': 'MTS', 'ru': 'MTS'},
'7902714':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902715':{'en': 'TMT', 'ru': 'TMT'},
'7902716':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902717':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7902718':{'en': 'TMT', 'ru': 'TMT'},
'7902719':{'en': 'TMT', 'ru': 'TMT'},
'7902746':{'en': 'MTS', 'ru': 'MTS'},
'7902747':{'en': 'MTS', 'ru': 'MTS'},
'7902748':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902749':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79028':{'en': 'Tele2', 'ru': 'Tele2'},
'790287':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79029':{'en': 'Tele2', 'ru': 'Tele2'},
'7902953':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902954':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902955':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902993':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902994':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7902995':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7903':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'79040':{'en': 'Tele2', 'ru': 'Tele2'},
'79041':{'en': 'Tele2', 'ru': 'Tele2'},
'790416':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790417':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79042':{'en': 'Tele2', 'ru': 'Tele2'},
'79043':{'en': 'Tele2', 'ru': 'Tele2'},
'790438':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79044':{'en': 'Tele2', 'ru': 'Tele2'},
'790450':{'en': 'Tele2', 'ru': 'Tele2'},
'790451':{'en': 'Tele2', 'ru': 'Tele2'},
'790452':{'en': 'Tele2', 'ru': 'Tele2'},
'790453':{'en': 'Tele2', 'ru': 'Tele2'},
'790454':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790455':{'en': 'Tele2', 'ru': 'Tele2'},
'790457':{'en': 'Tele2', 'ru': 'Tele2'},
'790458':{'en': 'Tele2', 'ru': 'Tele2'},
'790459':{'en': 'Tele2', 'ru': 'Tele2'},
'79046':{'en': 'Tele2', 'ru': 'Tele2'},
'790462':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790470':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7904708':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904709':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790471':{'en': 'TMT', 'ru': 'TMT'},
'7904710':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904711':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790472':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904724':{'en': 'MTS', 'ru': 'MTS'},
'7904725':{'en': 'MTS', 'ru': 'MTS'},
'7904726':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7904727':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7904730':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904731':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904732':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904733':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904734':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7904735':{'en': 'MTS', 'ru': 'MTS'},
'7904736':{'en': 'MTS', 'ru': 'MTS'},
'7904737':{'en': 'MTS', 'ru': 'MTS'},
'7904738':{'en': 'MTS', 'ru': 'MTS'},
'7904739':{'en': 'MTS', 'ru': 'MTS'},
'790474':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790475':{'en': 'Tele2', 'ru': 'Tele2'},
'790476':{'en': 'Tele2', 'ru': 'Tele2'},
'790477':{'en': 'Tele2', 'ru': 'Tele2'},
'790478':{'en': 'Tele2', 'ru': 'Tele2'},
'790479':{'en': 'Tele2', 'ru': 'Tele2'},
'79048':{'en': 'Tele2', 'ru': 'Tele2'},
'790490':{'en': 'Tele2', 'ru': 'Tele2'},
'790491':{'en': 'Tele2', 'ru': 'Tele2'},
'790492':{'en': 'Tele2', 'ru': 'Tele2'},
'790493':{'en': 'Tele2', 'ru': 'Tele2'},
'790494':{'en': 'Tele2', 'ru': 'Tele2'},
'7904955':{'en': 'Tele2', 'ru': 'Tele2'},
'7904956':{'en': 'Tele2', 'ru': 'Tele2'},
'7904957':{'en': 'Tele2', 'ru': 'Tele2'},
'7904958':{'en': 'Tele2', 'ru': 'Tele2'},
'7904959':{'en': 'Tele2', 'ru': 'Tele2'},
'790496':{'en': 'Tele2', 'ru': 'Tele2'},
'790497':{'en': 'Tele2', 'ru': 'Tele2'},
'790498':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790499':{'en': 'Tele2', 'ru': 'Tele2'},
'7905':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7906':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908':{'en': 'Tele2', 'ru': 'Tele2'},
'790833':{'en': 'TMT', 'ru': 'TMT'},
'790834':{'en': 'TMT', 'ru': 'TMT'},
'7908344':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908345':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790835':{'en': 'MTS', 'ru': 'MTS'},
'790836':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908364':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908370':{'en': 'MTS', 'ru': 'MTS'},
'7908371':{'en': 'MTS', 'ru': 'MTS'},
'7908372':{'en': 'MTS', 'ru': 'MTS'},
'7908373':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908374':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908375':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908376':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908377':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908378':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908379':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790838':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790839':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790840':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790841':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790842':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908430':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908431':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908432':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908433':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908434':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908435':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908436':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908437':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908438':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908439':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790844':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790845':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908460':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908461':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908462':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908463':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7908464':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790852':{'en': 'MTS', 'ru': 'MTS'},
'790853':{'en': 'MTS', 'ru': 'MTS'},
'790856':{'en': 'MTS', 'ru': 'MTS'},
'7908609':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790861':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790862':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790863':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790884':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908850':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7908851':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'790890':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790891':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790892':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'790896':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790897':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790898':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'790899':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7909':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'792':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79300':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79301':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79302':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79303':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79304':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793065':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793066':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793067':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793068':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793069':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79307':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79308':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7931':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79320':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79321':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79322':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79323':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79324':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79325':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79326':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79328':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79331':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79332':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79333':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793393':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793399':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79341':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79344':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79360':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7936110':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7936111':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7936222':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7936333':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793650':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793651':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793652':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793653':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7936555':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79366':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79367':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7937':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79380':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79381':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79382':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79383':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79384':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79385':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793865':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793869':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793870':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793877':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793878':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793879':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79388':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79389':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'793930':{'en': 'TMT', 'ru': 'TMT'},
'793931':{'en': 'TMT', 'ru': 'TMT'},
'793933':{'en': 'TMT', 'ru': 'TMT'},
'793934':{'en': 'TMT', 'ru': 'TMT'},
'793935':{'en': 'TMT', 'ru': 'TMT'},
'793936':{'en': 'TMT', 'ru': 'TMT'},
'793937':{'en': 'TMT', 'ru': 'TMT'},
'793938':{'en': 'TMT', 'ru': 'TMT'},
'793939':{'en': 'TMT', 'ru': 'TMT'},
'793950':{'en': 'TMT', 'ru': 'TMT'},
'79397':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'794':{'en': 'GLONASS', 'ru': u('\u0410\u041e \u0413\u041b\u041e\u041d\u0410\u0421\u0421')},
'7950':{'en': 'Tele2', 'ru': 'Tele2'},
'795019':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795020':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795023':{'en': 'MTS', 'ru': 'MTS'},
'795063':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795064':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795065':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7950665':{'en': 'TMT', 'ru': 'TMT'},
'7950666':{'en': 'TMT', 'ru': 'TMT'},
'7950667':{'en': 'TMT', 'ru': 'TMT'},
'7950668':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7950880':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7950888':{'en': 'MTS', 'ru': 'MTS'},
'7950889':{'en': 'MTS', 'ru': 'MTS'},
'795093':{'en': 'MTS', 'ru': 'MTS'},
'7950940':{'en': 'MTS', 'ru': 'MTS'},
'7950941':{'en': 'MTS', 'ru': 'MTS'},
'7950942':{'en': 'MTS', 'ru': 'MTS'},
'7950943':{'en': 'MTS', 'ru': 'MTS'},
'7950944':{'en': 'MTS', 'ru': 'MTS'},
'795100':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'795101':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'795102':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'795103':{'en': 'Tele2', 'ru': 'Tele2'},
'795105':{'en': 'Tele2', 'ru': 'Tele2'},
'795106':{'en': 'Tele2', 'ru': 'Tele2'},
'795107':{'en': 'Tele2', 'ru': 'Tele2'},
'795108':{'en': 'Tele2', 'ru': 'Tele2'},
'795109':{'en': 'Tele2', 'ru': 'Tele2'},
'79511':{'en': 'Tele2', 'ru': 'Tele2'},
'79512':{'en': 'Tele2', 'ru': 'Tele2'},
'79513':{'en': 'Tele2', 'ru': 'Tele2'},
'79514':{'en': 'Tele2', 'ru': 'Tele2'},
'79515':{'en': 'Tele2', 'ru': 'Tele2'},
'79516':{'en': 'Tele2', 'ru': 'Tele2'},
'79517':{'en': 'Tele2', 'ru': 'Tele2'},
'79518':{'en': 'Tele2', 'ru': 'Tele2'},
'79519':{'en': 'Tele2', 'ru': 'Tele2'},
'7952':{'en': 'Tele2', 'ru': 'Tele2'},
'795213':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795214':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952725':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952726':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952727':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952728':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952729':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795273':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952740':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952741':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952742':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952743':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7952744':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7953':{'en': 'Tele2', 'ru': 'Tele2'},
'795300':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7953039':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795304':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795305':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795320':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'795321':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'795322':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'795338':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'795360':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'7958010':{'en': 'Tele2', 'ru': 'Tele2'},
'7958011':{'en': 'Tele2', 'ru': 'Tele2'},
'7958012':{'en': 'Tele2', 'ru': 'Tele2'},
'7958013':{'en': 'Tele2', 'ru': 'Tele2'},
'7958030':{'en': 'Tele2', 'ru': 'Tele2'},
'7958031':{'en': 'Tele2', 'ru': 'Tele2'},
'7958032':{'en': 'Tele2', 'ru': 'Tele2'},
'7958033':{'en': 'Tele2', 'ru': 'Tele2'},
'7958034':{'en': 'Tele2', 'ru': 'Tele2'},
'7958035':{'en': 'Tele2', 'ru': 'Tele2'},
'7958036':{'en': 'Tele2', 'ru': 'Tele2'},
'7958037':{'en': 'Tele2', 'ru': 'Tele2'},
'7958038':{'en': 'Tele2', 'ru': 'Tele2'},
'7958040':{'en': 'Tele2', 'ru': 'Tele2'},
'7958041':{'en': 'Tele2', 'ru': 'Tele2'},
'795810':{'en': 'Tele2', 'ru': 'Tele2'},
'795811':{'en': 'Tele2', 'ru': 'Tele2'},
'795812':{'en': 'Tele2', 'ru': 'Tele2'},
'795813':{'en': 'Tele2', 'ru': 'Tele2'},
'795814':{'en': 'Tele2', 'ru': 'Tele2'},
'795815':{'en': 'Tele2', 'ru': 'Tele2'},
'795816':{'en': 'Tele2', 'ru': 'Tele2'},
'795817':{'en': 'Tele2', 'ru': 'Tele2'},
'795818':{'en': 'Tele2', 'ru': 'Tele2'},
'7958190':{'en': 'Tele2', 'ru': 'Tele2'},
'7958191':{'en': 'Tele2', 'ru': 'Tele2'},
'7958192':{'en': 'Tele2', 'ru': 'Tele2'},
'7958193':{'en': 'Tele2', 'ru': 'Tele2'},
'7958195':{'en': 'Tele2', 'ru': 'Tele2'},
'7958196':{'en': 'Tele2', 'ru': 'Tele2'},
'7958198':{'en': 'Tele2', 'ru': 'Tele2'},
'7958199':{'en': 'Tele2', 'ru': 'Tele2'},
'79582':{'en': 'Tele2', 'ru': 'Tele2'},
'79583':{'en': 'Global Telecom', 'ru': u('\u041e\u041e\u041e \u0413\u043b\u043e\u0431\u0430\u043b \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'795839':{'en': 'Tele2', 'ru': 'Tele2'},
'795841':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'795842':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'795844':{'en': 'Global Telecom', 'ru': u('\u041e\u041e\u041e \u0413\u043b\u043e\u0431\u0430\u043b \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'795845':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'795846':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'795848':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'795850':{'en': 'Tele2', 'ru': 'Tele2'},
'7958510':{'en': 'Tele2', 'ru': 'Tele2'},
'7958511':{'en': 'Tele2', 'ru': 'Tele2'},
'7958512':{'en': 'Tele2', 'ru': 'Tele2'},
'7958513':{'en': 'Tele2', 'ru': 'Tele2'},
'7958514':{'en': 'Tele2', 'ru': 'Tele2'},
'7958515':{'en': 'Tele2', 'ru': 'Tele2'},
'7958516':{'en': 'Tele2', 'ru': 'Tele2'},
'7958517':{'en': 'Center 2M', 'ru': u('\u041e\u041e\u041e \u0426\u0435\u043d\u0442\u0440 2\u041c')},
'7958518':{'en': 'Center 2M', 'ru': u('\u041e\u041e\u041e \u0426\u0435\u043d\u0442\u0440 2\u041c')},
'7958519':{'en': 'Center 2M', 'ru': u('\u041e\u041e\u041e \u0426\u0435\u043d\u0442\u0440 2\u041c')},
'7958530':{'en': 'Sonet', 'ru': u('\u041e\u041e\u041e \u0421\u043e\u043d\u0435\u0442')},
'7958531':{'en': 'Sonet', 'ru': u('\u041e\u041e\u041e \u0421\u043e\u043d\u0435\u0442')},
'7958532':{'en': 'Sonet', 'ru': u('\u041e\u041e\u041e \u0421\u043e\u043d\u0435\u0442')},
'7958533':{'en': 'Sonet', 'ru': u('\u041e\u041e\u041e \u0421\u043e\u043d\u0435\u0442')},
'7958534':{'en': 'Center 2M', 'ru': u('\u041e\u041e\u041e \u0426\u0435\u043d\u0442\u0440 2\u041c')},
'7958535':{'en': 'Tele2', 'ru': 'Tele2'},
'7958541':{'en': 'Tele2', 'ru': 'Tele2'},
'7958542':{'en': 'Tele2', 'ru': 'Tele2'},
'7958543':{'en': 'Tele2', 'ru': 'Tele2'},
'7958544':{'en': 'Tele2', 'ru': 'Tele2'},
'7958545':{'en': 'Tele2', 'ru': 'Tele2'},
'7958546':{'en': 'Tele2', 'ru': 'Tele2'},
'7958547':{'en': 'Tele2', 'ru': 'Tele2'},
'7958548':{'en': 'Tele2', 'ru': 'Tele2'},
'7958549':{'en': 'Tele2', 'ru': 'Tele2'},
'7958550':{'en': 'Tele2', 'ru': 'Tele2'},
'7958551':{'en': 'Tele2', 'ru': 'Tele2'},
'7958552':{'en': 'Tele2', 'ru': 'Tele2'},
'7958553':{'en': 'Tele2', 'ru': 'Tele2'},
'7958556':{'en': 'Tele2', 'ru': 'Tele2'},
'7958557':{'en': 'Tele2', 'ru': 'Tele2'},
'7958558':{'en': 'Tele2', 'ru': 'Tele2'},
'7958559':{'en': 'Tele2', 'ru': 'Tele2'},
'795856':{'en': 'Tele2', 'ru': 'Tele2'},
'7958570':{'en': 'Tele2', 'ru': 'Tele2'},
'7958571':{'en': 'Tele2', 'ru': 'Tele2'},
'7958572':{'en': 'Tele2', 'ru': 'Tele2'},
'7958573':{'en': 'Tele2', 'ru': 'Tele2'},
'7958574':{'en': 'Tele2', 'ru': 'Tele2'},
'7958575':{'en': 'Tele2', 'ru': 'Tele2'},
'7958576':{'en': 'Tele2', 'ru': 'Tele2'},
'7958577':{'en': 'Sprint', 'ru': u('\u041e\u041e\u041e \u0421\u043f\u0440\u0438\u043d\u0442')},
'7958579':{'en': 'Intersvyaz-2', 'ru': u('\u0417\u0410\u041e \u0418\u043d\u0442\u0435\u0440\u0441\u0432\u044f\u0437\u044c-2')},
'795858':{'en': 'Tele2', 'ru': 'Tele2'},
'7958580':{'en': 'Sprint', 'ru': u('\u041e\u041e\u041e \u0421\u043f\u0440\u0438\u043d\u0442')},
'7958581':{'en': 'Sprint', 'ru': u('\u041e\u041e\u041e \u0421\u043f\u0440\u0438\u043d\u0442')},
'7958582':{'en': 'Sprint', 'ru': u('\u041e\u041e\u041e \u0421\u043f\u0440\u0438\u043d\u0442')},
'7958583':{'en': 'Sprint', 'ru': u('\u041e\u041e\u041e \u0421\u043f\u0440\u0438\u043d\u0442')},
'7958590':{'en': 'Tele2', 'ru': 'Tele2'},
'7958592':{'en': 'Tele2', 'ru': 'Tele2'},
'7958593':{'en': 'Tele2', 'ru': 'Tele2'},
'7958594':{'en': 'Tele2', 'ru': 'Tele2'},
'7958596':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7958597':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7958598':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'7958599':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'795860':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'795861':{'en': 'Multiregional Transit Telecom (MTT)', 'ru': u('\u041e\u0410\u041e \u041c\u0422\u0422')},
'795862':{'en': 'TMT', 'ru': 'TMT'},
'795863':{'en': 'Tele2', 'ru': 'Tele2'},
'795864':{'en': 'Tele2', 'ru': 'Tele2'},
'795865':{'en': 'Tele2', 'ru': 'Tele2'},
'795866':{'en': 'Tele2', 'ru': 'Tele2'},
'795867':{'en': 'Tele2', 'ru': 'Tele2'},
'795868':{'en': 'Tele2', 'ru': 'Tele2'},
'795880':{'en': 'MTS', 'ru': 'MTS'},
'795881':{'en': 'MTS', 'ru': 'MTS'},
'795882':{'en': 'MTS', 'ru': 'MTS'},
'7958830':{'en': 'MTS', 'ru': 'MTS'},
'7958831':{'en': 'MTS', 'ru': 'MTS'},
'7958832':{'en': 'MTS', 'ru': 'MTS'},
'7958833':{'en': 'MTS', 'ru': 'MTS'},
'7958834':{'en': 'MTS', 'ru': 'MTS'},
'7958835':{'en': 'Tele2', 'ru': 'Tele2'},
'7958836':{'en': 'Tele2', 'ru': 'Tele2'},
'7958837':{'en': 'Tele2', 'ru': 'Tele2'},
'7958838':{'en': 'Tele2', 'ru': 'Tele2'},
'7958839':{'en': 'Tele2', 'ru': 'Tele2'},
'795884':{'en': 'Tele2', 'ru': 'Tele2'},
'795885':{'en': 'Tele2', 'ru': 'Tele2'},
'795886':{'en': 'Tele2', 'ru': 'Tele2'},
'795887':{'en': 'Tele2', 'ru': 'Tele2'},
'795889':{'en': 'Nat Nat Bai Holding', 'ru': u('\u041e\u041e\u041e \u041d\u044d\u0442 \u0411\u0430\u0439 \u041d\u044d\u0442 \u0425\u043e\u043b\u0434\u0438\u043d\u0433')},
'79589':{'en': 'Global Telecom', 'ru': u('\u041e\u041e\u041e \u0413\u043b\u043e\u0431\u0430\u043b \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'796':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7970881':{'en': 'Tele2', 'ru': 'Tele2'},
'79771':{'en': 'Tele2', 'ru': 'Tele2'},
'79772':{'en': 'Tele2', 'ru': 'Tele2'},
'797721':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'797722':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'797723':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'797724':{'en': 'Motiv', 'ru': u('\u041c\u041e\u0422\u0418\u0412')},
'79773':{'en': 'Tele2', 'ru': 'Tele2'},
'79774':{'en': 'Tele2', 'ru': 'Tele2'},
'79775':{'en': 'Tele2', 'ru': 'Tele2'},
'79776':{'en': 'Tele2', 'ru': 'Tele2'},
'79777':{'en': 'Tele2', 'ru': 'Tele2'},
'79778':{'en': 'Tele2', 'ru': 'Tele2'},
'79779':{'en': 'Tele2', 'ru': 'Tele2'},
'79780':{'en': 'MTS', 'ru': 'MTS'},
'797810':{'en': 'MTS', 'ru': 'MTS'},
'797811':{'en': 'MTS', 'ru': 'MTS'},
'797812':{'en': 'MTS', 'ru': 'MTS'},
'797813':{'en': 'MTS', 'ru': 'MTS'},
'797814':{'en': 'MTS', 'ru': 'MTS'},
'797815':{'en': 'Elemte-Invest', 'ru': u('\u041e\u041e\u041e \u042d\u043b\u0435\u043c\u0442\u044d-\u0418\u043d\u0432\u0435\u0441\u0442')},
'797820':{'en': 'MTS', 'ru': 'MTS'},
'797821':{'en': 'MTS', 'ru': 'MTS'},
'797822':{'en': 'MTS', 'ru': 'MTS'},
'7978254':{'en': 'Sevastopol TELECOM', 'ru': u('\u0410\u043a\u0446\u0438\u043e\u043d\u0435\u0440\u043d\u043e\u0435 \u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e \u0421\u0435\u0432\u0430\u0441\u0442\u043e\u043f\u043e\u043b\u044c \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'7978255':{'en': 'MTS', 'ru': 'MTS'},
'7978256':{'en': 'MTS', 'ru': 'MTS'},
'7978257':{'en': 'MTS', 'ru': 'MTS'},
'7978258':{'en': 'MTS', 'ru': 'MTS'},
'7978259':{'en': 'MTS', 'ru': 'MTS'},
'797826':{'en': 'MTS', 'ru': 'MTS'},
'797827':{'en': 'MTS', 'ru': 'MTS'},
'79787':{'en': 'MTS', 'ru': 'MTS'},
'79788':{'en': 'MTS', 'ru': 'MTS'},
'79789':{'en': 'K-Telecom Ltd', 'ru': u('\u041e\u041e\u041e \u041a-\u0442\u0435\u043b\u0435\u043a\u043e\u043c')},
'79807':{'en': 'MTS', 'ru': 'MTS'},
'798091':{'en': 'Tele2', 'ru': 'Tele2'},
'798092':{'en': 'Tele2', 'ru': 'Tele2'},
'798093':{'en': 'Tele2', 'ru': 'Tele2'},
'798094':{'en': 'Tele2', 'ru': 'Tele2'},
'798098':{'en': 'Sberbank-Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a-\u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'798099':{'en': 'Sberbank-Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a-\u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'7980999':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7982':{'en': 'MTS', 'ru': 'MTS'},
'79831':{'en': 'MTS', 'ru': 'MTS'},
'79832':{'en': 'MTS', 'ru': 'MTS'},
'79833':{'en': 'MTS', 'ru': 'MTS'},
'79835':{'en': 'MTS', 'ru': 'MTS'},
'7983888':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7983999':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'7986666':{'en': 'Beeline', 'ru': u('\u0411\u0438\u043b\u0430\u0439\u043d')},
'79867':{'en': 'MTS', 'ru': 'MTS'},
'79869':{'en': 'MTS', 'ru': 'MTS'},
'7987':{'en': 'MTS', 'ru': 'MTS'},
'799100':{'en': 'Tele2', 'ru': 'Tele2'},
'7991010':{'en': 'Tele2', 'ru': 'Tele2'},
'7991011':{'en': 'Tele2', 'ru': 'Tele2'},
'7991012':{'en': 'Tele2', 'ru': 'Tele2'},
'7991013':{'en': 'Tele2', 'ru': 'Tele2'},
'7991014':{'en': 'Tele2', 'ru': 'Tele2'},
'7991015':{'en': 'Tele2', 'ru': 'Tele2'},
'7991016':{'en': 'Tele2', 'ru': 'Tele2'},
'7991017':{'en': 'Tele2', 'ru': 'Tele2'},
'7991019':{'en': 'Tele2', 'ru': 'Tele2'},
'799102':{'en': 'Tele2', 'ru': 'Tele2'},
'799103':{'en': 'Tele2', 'ru': 'Tele2'},
'799104':{'en': 'Tele2', 'ru': 'Tele2'},
'799105':{'en': 'Tele2', 'ru': 'Tele2'},
'799106':{'en': 'Tele2', 'ru': 'Tele2'},
'799107':{'en': 'Tele2', 'ru': 'Tele2'},
'799108':{'en': 'Tele2', 'ru': 'Tele2'},
'799109':{'en': 'Tele2', 'ru': 'Tele2'},
'79911':{'en': 'Tele2', 'ru': 'Tele2'},
'799111':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7991315':{'en': 'Tele2', 'ru': 'Tele2'},
'7991316':{'en': 'Tele2', 'ru': 'Tele2'},
'7991317':{'en': 'Tele2', 'ru': 'Tele2'},
'7991318':{'en': 'Tele2', 'ru': 'Tele2'},
'7991319':{'en': 'Tele2', 'ru': 'Tele2'},
'799132':{'en': 'Tele2', 'ru': 'Tele2'},
'7991330':{'en': 'Tele2', 'ru': 'Tele2'},
'7991331':{'en': 'Tele2', 'ru': 'Tele2'},
'7991332':{'en': 'Tele2', 'ru': 'Tele2'},
'7991342':{'en': 'Tele2', 'ru': 'Tele2'},
'7991343':{'en': 'Tele2', 'ru': 'Tele2'},
'7991344':{'en': 'Tele2', 'ru': 'Tele2'},
'7991345':{'en': 'Tele2', 'ru': 'Tele2'},
'7991346':{'en': 'Tele2', 'ru': 'Tele2'},
'7991347':{'en': 'Tele2', 'ru': 'Tele2'},
'7991348':{'en': 'Tele2', 'ru': 'Tele2'},
'7991349':{'en': 'Tele2', 'ru': 'Tele2'},
'799135':{'en': 'Tele2', 'ru': 'Tele2'},
'799136':{'en': 'Tele2', 'ru': 'Tele2'},
'799137':{'en': 'Tele2', 'ru': 'Tele2'},
'799138':{'en': 'Tele2', 'ru': 'Tele2'},
'799139':{'en': 'Tele2', 'ru': 'Tele2'},
'79914':{'en': 'Tele2', 'ru': 'Tele2'},
'79916':{'en': 'Tele2', 'ru': 'Tele2'},
'79919':{'en': 'Tele2', 'ru': 'Tele2'},
'79920':{'en': 'Tele2', 'ru': 'Tele2'},
'799220':{'en': 'Tele2', 'ru': 'Tele2'},
'799221':{'en': 'Tele2', 'ru': 'Tele2'},
'799222':{'en': 'Tele2', 'ru': 'Tele2'},
'799223':{'en': 'Tele2', 'ru': 'Tele2'},
'799224':{'en': 'Tele2', 'ru': 'Tele2'},
'799228':{'en': 'Tele2', 'ru': 'Tele2'},
'799229':{'en': 'Tele2', 'ru': 'Tele2'},
'799230':{'en': 'Tele2', 'ru': 'Tele2'},
'799231':{'en': 'Tele2', 'ru': 'Tele2'},
'799233':{'en': 'Tele2', 'ru': 'Tele2'},
'799234':{'en': 'Tele2', 'ru': 'Tele2'},
'799235':{'en': 'Tele2', 'ru': 'Tele2'},
'799236':{'en': 'Tele2', 'ru': 'Tele2'},
'799240':{'en': 'Tele2', 'ru': 'Tele2'},
'799241':{'en': 'Tele2', 'ru': 'Tele2'},
'799242':{'en': 'Tele2', 'ru': 'Tele2'},
'799250':{'en': 'Tele2', 'ru': 'Tele2'},
'799251':{'en': 'Tele2', 'ru': 'Tele2'},
'799252':{'en': 'Tele2', 'ru': 'Tele2'},
'799300':{'en': 'Tele2', 'ru': 'Tele2'},
'799301':{'en': 'Tele2', 'ru': 'Tele2'},
'799302':{'en': 'Tele2', 'ru': 'Tele2'},
'7993030':{'en': 'Tele2', 'ru': 'Tele2'},
'7993031':{'en': 'Tele2', 'ru': 'Tele2'},
'7993032':{'en': 'Tele2', 'ru': 'Tele2'},
'7993033':{'en': 'Tele2', 'ru': 'Tele2'},
'7993034':{'en': 'Tele2', 'ru': 'Tele2'},
'7993035':{'en': 'Tele2', 'ru': 'Tele2'},
'799400':{'en': 'Tele2', 'ru': 'Tele2'},
'799401':{'en': 'Tele2', 'ru': 'Tele2'},
'7994250':{'en': 'Tele2', 'ru': 'Tele2'},
'7994270':{'en': 'Tele2', 'ru': 'Tele2'},
'7994271':{'en': 'Tele2', 'ru': 'Tele2'},
'799510':{'en': 'Tele2', 'ru': 'Tele2'},
'799512':{'en': 'Tele2', 'ru': 'Tele2'},
'799518':{'en': 'Tele2', 'ru': 'Tele2'},
'799519':{'en': 'Tele2', 'ru': 'Tele2'},
'799520':{'en': 'Tele2', 'ru': 'Tele2'},
'7995210':{'en': 'Tele2', 'ru': 'Tele2'},
'7995211':{'en': 'Tele2', 'ru': 'Tele2'},
'7995213':{'en': 'Tele2', 'ru': 'Tele2'},
'799540':{'en': 'Tele2', 'ru': 'Tele2'},
'799541':{'en': 'Tele2', 'ru': 'Tele2'},
'799542':{'en': 'Tele2', 'ru': 'Tele2'},
'799550':{'en': 'Tele2', 'ru': 'Tele2'},
'799555':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799559':{'en': 'Tele2', 'ru': 'Tele2'},
'799560':{'en': 'Tele2', 'ru': 'Tele2'},
'799571':{'en': 'Tele2', 'ru': 'Tele2'},
'799572':{'en': 'Tele2', 'ru': 'Tele2'},
'799573':{'en': 'Tele2', 'ru': 'Tele2'},
'799574':{'en': 'Tele2', 'ru': 'Tele2'},
'799575':{'en': 'Tele2', 'ru': 'Tele2'},
'799576':{'en': 'Tele2', 'ru': 'Tele2'},
'799577':{'en': 'Tele2', 'ru': 'Tele2'},
'7995770':{'en': 'Sberbank-Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a-\u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'7995777':{'en': 'Sberbank-Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a-\u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'799579':{'en': 'Internod', 'ru': u('\u041e\u041e\u041e \u0418\u043d\u0442\u0435\u0440\u043d\u043e\u0434')},
'799580':{'en': 'Vainakh Telecom CJSC', 'ru': u('\u0417\u0410\u041e \u0412\u0430\u0439\u043d\u0430\u0445 \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'799581':{'en': 'Vainakh Telecom CJSC', 'ru': u('\u0417\u0410\u041e \u0412\u0430\u0439\u043d\u0430\u0445 \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'799582':{'en': 'Vainakh Telecom CJSC', 'ru': u('\u0417\u0410\u041e \u0412\u0430\u0439\u043d\u0430\u0445 \u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'799588':{'en': 'Tele2', 'ru': 'Tele2'},
'799589':{'en': 'Tele2', 'ru': 'Tele2'},
'799590':{'en': 'Tele2', 'ru': 'Tele2'},
'799591':{'en': 'Tele2', 'ru': 'Tele2'},
'799592':{'en': 'Tele2', 'ru': 'Tele2'},
'799593':{'en': 'Tele2', 'ru': 'Tele2'},
'799595':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799596':{'en': 'Tele2', 'ru': 'Tele2'},
'799597':{'en': 'Lyca Mobile', 'ru': u('\u041e\u041e\u041e \u041b\u0430\u0439\u043a\u0430\u043c\u043e\u0431\u0430\u0439\u043b')},
'7995990':{'en': 'Sberbank-Telecom', 'ru': u('\u041e\u041e\u041e \u0421\u0431\u0435\u0440\u0431\u0430\u043d\u043a-\u0422\u0435\u043b\u0435\u043a\u043e\u043c')},
'7995991':{'en': 'Lyca Mobile', 'ru': u('\u041e\u041e\u041e \u041b\u0430\u0439\u043a\u0430\u043c\u043e\u0431\u0430\u0439\u043b')},
'7995992':{'en': 'Lyca Mobile', 'ru': u('\u041e\u041e\u041e \u041b\u0430\u0439\u043a\u0430\u043c\u043e\u0431\u0430\u0439\u043b')},
'7995993':{'en': 'Lyca Mobile', 'ru': u('\u041e\u041e\u041e \u041b\u0430\u0439\u043a\u0430\u043c\u043e\u0431\u0430\u0439\u043b')},
'7995994':{'en': 'Lyca Mobile', 'ru': u('\u041e\u041e\u041e \u041b\u0430\u0439\u043a\u0430\u043c\u043e\u0431\u0430\u0439\u043b')},
'7995995':{'en': 'Lyca Mobile', 'ru': u('\u041e\u041e\u041e \u041b\u0430\u0439\u043a\u0430\u043c\u043e\u0431\u0430\u0439\u043b')},
'7995996':{'en': 'Tele2', 'ru': 'Tele2'},
'7995997':{'en': 'Tele2', 'ru': 'Tele2'},
'7995998':{'en': 'Tele2', 'ru': 'Tele2'},
'7995999':{'en': 'Internod', 'ru': u('\u041e\u041e\u041e \u0418\u043d\u0442\u0435\u0440\u043d\u043e\u0434')},
'799600':{'en': 'Tele2', 'ru': 'Tele2'},
'7996010':{'en': 'Tele2', 'ru': 'Tele2'},
'7996013':{'en': 'Tele2', 'ru': 'Tele2'},
'7996014':{'en': 'Tele2', 'ru': 'Tele2'},
'7996015':{'en': 'Tele2', 'ru': 'Tele2'},
'7996016':{'en': 'Tele2', 'ru': 'Tele2'},
'7996017':{'en': 'Tele2', 'ru': 'Tele2'},
'7996018':{'en': 'Tele2', 'ru': 'Tele2'},
'7996019':{'en': 'Tele2', 'ru': 'Tele2'},
'799602':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799603':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799604':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799605':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799606':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799607':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799608':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799609':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79961':{'en': 'Tele2', 'ru': 'Tele2'},
'799610':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799611':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799612':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799613':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996200':{'en': 'Tele2', 'ru': 'Tele2'},
'7996201':{'en': 'Tele2', 'ru': 'Tele2'},
'7996202':{'en': 'Tele2', 'ru': 'Tele2'},
'7996203':{'en': 'Tele2', 'ru': 'Tele2'},
'7996204':{'en': 'Tele2', 'ru': 'Tele2'},
'7996205':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996206':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996207':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996208':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996209':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799621':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799622':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799623':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799624':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799626':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799628':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799629':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996299':{'en': 'Tele2', 'ru': 'Tele2'},
'79963':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996300':{'en': 'Tele2', 'ru': 'Tele2'},
'7996301':{'en': 'Tele2', 'ru': 'Tele2'},
'7996302':{'en': 'Tele2', 'ru': 'Tele2'},
'79964':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79965':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79966':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'7996699':{'en': 'Tele2', 'ru': 'Tele2'},
'799670':{'en': 'Tele2', 'ru': 'Tele2'},
'799672':{'en': 'Tele2', 'ru': 'Tele2'},
'799673':{'en': 'Tele2', 'ru': 'Tele2'},
'799674':{'en': 'Tele2', 'ru': 'Tele2'},
'7996750':{'en': 'Tele2', 'ru': 'Tele2'},
'7996751':{'en': 'Tele2', 'ru': 'Tele2'},
'7996752':{'en': 'Tele2', 'ru': 'Tele2'},
'7996755':{'en': 'Tele2', 'ru': 'Tele2'},
'7996756':{'en': 'Tele2', 'ru': 'Tele2'},
'7996757':{'en': 'Tele2', 'ru': 'Tele2'},
'7996758':{'en': 'Tele2', 'ru': 'Tele2'},
'7996759':{'en': 'Tele2', 'ru': 'Tele2'},
'799676':{'en': 'Tele2', 'ru': 'Tele2'},
'799677':{'en': 'Tele2', 'ru': 'Tele2'},
'799678':{'en': 'Tele2', 'ru': 'Tele2'},
'799679':{'en': 'Tele2', 'ru': 'Tele2'},
'799680':{'en': 'Tele2', 'ru': 'Tele2'},
'7996810':{'en': 'Tele2', 'ru': 'Tele2'},
'7996811':{'en': 'Tele2', 'ru': 'Tele2'},
'7996812':{'en': 'Tele2', 'ru': 'Tele2'},
'7996813':{'en': 'Tele2', 'ru': 'Tele2'},
'7996814':{'en': 'Tele2', 'ru': 'Tele2'},
'7996849':{'en': 'Tele2', 'ru': 'Tele2'},
'7996850':{'en': 'Tele2', 'ru': 'Tele2'},
'7996851':{'en': 'Tele2', 'ru': 'Tele2'},
'7996852':{'en': 'Tele2', 'ru': 'Tele2'},
'7996853':{'en': 'Tele2', 'ru': 'Tele2'},
'7996854':{'en': 'Tele2', 'ru': 'Tele2'},
'7996855':{'en': 'Tele2', 'ru': 'Tele2'},
'799689':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'79969':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'799690':{'en': 'Tele2', 'ru': 'Tele2'},
'7999':{'en': 'MegaFon', 'ru': u('\u041c\u0435\u0433\u0430\u0424\u043e\u043d')},
'821020':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821021':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821022':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821023':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821024':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821025':{'en': 'KT', 'ko': 'KT'},
'821026':{'en': 'KT', 'ko': 'KT'},
'821027':{'en': 'KT', 'ko': 'KT'},
'821028':{'en': 'KT', 'ko': 'KT'},
'821029':{'en': 'KT', 'ko': 'KT'},
'821030':{'en': 'KT', 'ko': 'KT'},
'821031':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821032':{'en': 'KT', 'ko': 'KT'},
'821033':{'en': 'KT', 'ko': 'KT'},
'821034':{'en': 'KT', 'ko': 'KT'},
'821035':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821036':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821037':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821038':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821039':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'82104':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821042':{'en': 'KT', 'ko': 'KT'},
'821043':{'en': 'KT', 'ko': 'KT'},
'821044':{'en': 'KT', 'ko': 'KT'},
'821050':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821051':{'en': 'KT', 'ko': 'KT'},
'821052':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821053':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821054':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821055':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821056':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821057':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821058':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'8210590':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'8210591':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'8210592':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'8210593':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'8210594':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'8210595':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821062':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821063':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821064':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821065':{'en': 'KT', 'ko': 'KT'},
'821066':{'en': 'KT', 'ko': 'KT'},
'821067':{'en': 'KT', 'ko': 'KT'},
'821068':{'en': 'KT', 'ko': 'KT'},
'821071':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821072':{'en': 'KT', 'ko': 'KT'},
'821073':{'en': 'KT', 'ko': 'KT'},
'821074':{'en': 'KT', 'ko': 'KT'},
'821075':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821076':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821077':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821079':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821080':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821081':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821082':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821083':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821084':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'821085':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821086':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821087':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821088':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821089':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821090':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821091':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821092':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821093':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821094':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'821095':{'en': 'KT', 'ko': 'KT'},
'821096':{'en': 'KT', 'ko': 'KT'},
'821097':{'en': 'KT', 'ko': 'KT'},
'821098':{'en': 'KT', 'ko': 'KT'},
'821099':{'en': 'KT', 'ko': 'KT'},
'8211':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'82122':{'en': 'KT', 'ko': 'KT'},
'8216':{'en': 'KT', 'ko': 'KT'},
'8217':{'en': 'SKTellink', 'ko': u('SK \ud154\ub9c1\ud06c')},
'8218':{'en': 'KT', 'ko': 'KT'},
'8219':{'en': 'LG U+', 'ko': u('\ub370\uc774\ucf64')},
'843':{'en': 'Viettel Mobile'},
'8452':{'en': 'Vietnamobile'},
'8456':{'en': 'Vietnamobile'},
'8458':{'en': 'Vietnamobile'},
'8459':{'en': 'G-Mobile'},
'847':{'en': 'MobiFone'},
'8481':{'en': 'Vinaphone'},
'8482':{'en': 'Vinaphone'},
'8483':{'en': 'Vinaphone'},
'8484':{'en': 'Vinaphone'},
'8485':{'en': 'Vinaphone'},
'8486':{'en': 'Viettel Mobile'},
'8487':{'en': 'Vinaphone'},
'8488':{'en': 'Vinaphone'},
'8489':{'en': 'MobiFone'},
'8490':{'en': 'MobiFone'},
'8491':{'en': 'Vinaphone'},
'8492':{'en': 'Vietnamobile'},
'8493':{'en': 'MobiFone'},
'8494':{'en': 'Vinaphone'},
'8496':{'en': 'Viettel'},
'8497':{'en': 'Viettel'},
'8498':{'en': 'Viettel'},
'84993':{'en': 'G-Mobile'},
'84994':{'en': 'G-Mobile'},
'84995':{'en': 'G-Mobile'},
'84996':{'en': 'G-Mobile'},
'84997':{'en': 'G-Mobile'},
'84998':{'en': 'Indochina Telecom'},
'84999':{'en': 'Indochina Telecom'},
'850191':{'en': 'Koryolink'},
'850192':{'en': 'Koryolink'},
'850193':{'en': 'KPTC'},
'852460':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852461':{'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8524610':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf')},
'8524611':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf')},
'8524612':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf')},
'8524613':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf')},
'8524614':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf')},
'8524615':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'8524616':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'8524620':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8524621':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8524622':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8524623':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8524624':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8524625':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8524626':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8524627':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8524628':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8524629':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'852463':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8524640':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8524641':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8524642':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8524643':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8524644':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8524645':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8524647':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8524648':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8524649':{'en': 'CITIC', 'zh': u('\u4e2d\u4fe1\u56fd\u9645\u7535\u8baf'), 'zh_Hant': u('\u4e2d\u4fe1\u570b\u969b\u96fb\u8a0a')},
'8524650':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'8524651':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'8524652':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'8524653':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'8524654':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf')},
'8524655':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf')},
'8524656':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf')},
'8524657':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf')},
'8524658':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf')},
'852466':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'852510':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852511':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'852512':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852513':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852514':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525149':{'en': 'Truphone', 'zh': 'Truphone', 'zh_Hant': 'Truphone'},
'852516':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852517':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852518':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852519':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852520':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852521':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852522':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8525230':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525231':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525232':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525233':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525234':{'en': 'Lycamobile', 'zh': 'Lycamobile', 'zh_Hant': 'Lycamobile'},
'8525235':{'en': '21Vianet', 'zh': '21Vianet', 'zh_Hant': '21Vianet'},
'8525236':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525237':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525238':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525239':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852524':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852526':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852527':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525280':{'en': 'Truphone', 'zh': 'Truphone', 'zh_Hant': 'Truphone'},
'8525281':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525282':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525283':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525284':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525285':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525286':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525287':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525288':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525289':{'en': '3', 'zh': '3', 'zh_Hant': '263.net'},
'852529':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852530':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852531':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852532':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852533':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852534':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852536':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852537':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852538':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852539':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852540':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'852541':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852542':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852543':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852544':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852546':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852547':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852548':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852549':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852550':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852551':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852552':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852553':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8525540':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525541':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525542':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525543':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525544':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525545':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525546':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525547':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525548':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'852556':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852557':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852558':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852559':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852560':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852561':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852562':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852563':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852564':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852566':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852568':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852569':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'8525700':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525701':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525702':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525703':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8525704':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525705':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525706':{'en': 'Hong Kong Broadband Network', 'zh': u('\u9999\u6e2f\u5bec\u983b\u4f01\u696d\u65b9\u6848\u6709\u9650\u516c\u53f8'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525707':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8525708':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8525709':{'en': 'CITIC', 'zh': u('\u4e2d\u4fe1\u56fd\u9645\u7535\u8baf'), 'zh_Hant': u('\u4e2d\u4fe1\u570b\u969b\u96fb\u8a0a')},
'852571':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525718':{'en': 'Lycamobile', 'zh': 'Lycamobile', 'zh_Hant': 'Lycamobile'},
'8525719':{'en': 'Lycamobile', 'zh': 'Lycamobile', 'zh_Hant': 'Lycamobile'},
'852572':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852573':{'en': 'Tai Tung', 'zh': u('\u53f0\u4e1c'), 'zh_Hant': u('\u81fa\u6771')},
'8525740':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525741':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525742':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525743':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525744':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'8525745':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525746':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525747':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525748':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'8525749':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852576':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8525768':{'en': 'Lycamobile', 'zh': 'Lycamobile', 'zh_Hant': 'Lycamobile'},
'8525769':{'en': 'Lycamobile', 'zh': 'Lycamobile', 'zh_Hant': 'Lycamobile'},
'852579':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852590':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8525906':{'en': '21Vianet', 'zh': '21Vianet', 'zh_Hant': '21Vianet'},
'8525907':{'en': '21Vianet', 'zh': '21Vianet', 'zh_Hant': '21Vianet'},
'8525908':{'en': 'Lycamobile', 'zh': 'Lycamobile', 'zh_Hant': 'Lycamobile'},
'8525909':{'en': 'Lycamobile', 'zh': 'Lycamobile', 'zh_Hant': 'Lycamobile'},
'852591':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852592':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852593':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852594':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852596':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852597':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852598':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852599':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852601':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852602':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852603':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852604':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852605':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852606':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852607':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852608':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852609':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'85261':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852610':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852611':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852615':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852619':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852620':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852621':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852622':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852623':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852625':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'8526260':{'en': '3', 'zh': '3', 'zh_Hant': 'Easco'},
'8526261':{'en': 'Webbing', 'zh': 'Webbing', 'zh_Hant': 'Webbing'},
'8526263':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8526264':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8526265':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8526266':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'8526267':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'852627':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852628':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852629':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852630':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852631':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852632':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852633':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852634':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852635':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8526360':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8526361':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'8526362':{'en': 'China Telecom Global Limited (CTG)', 'zh': u('\u4e2d\u570b\u96fb\u4fe1\u570b\u969b\u6709\u9650\u516c\u53f8')},
'852637':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852638':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852639':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852640':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852641':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852642':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852643':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852644':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852645':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u4fe1\u570b\u969b\u96fb\u8a0a')},
'852646':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852647':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852648':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852649':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852650':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852651':{'en': 'China-Hongkong Telecom', 'zh': u('\u4e2d\u6e2f\u901a'), 'zh_Hant': u('\u4e2d\u6e2f\u901a')},
'852652':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852653':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852654':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852655':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852656':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852657':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852658':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852659':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852660':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852661':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852662':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852663':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852664':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852665':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852666':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'852667':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852668':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852669':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852670':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852671':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852672':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852673':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852674':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852675':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852676':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852677':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852679':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852680':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852681':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852682':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852684':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852685':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852687':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852688':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852689':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852690':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852691':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852692':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852693':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852694':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852695':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852697':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852699':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'85270':{'zh_Hant': u('\u6578\u78bc\u901a')},
'852707':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'852708':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf')},
'8528480':{'en': 'Handy', 'zh': 'Handy', 'zh_Hant': 'Handy'},
'8528481':{'en': 'Sun Mobile', 'zh': u('\u65b0\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u65b0\u79fb\u52d5\u901a\u8a0a')},
'8528485':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8528486':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8528487':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8528488':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'8528489':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a')},
'852849':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'852901':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852902':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852903':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852904':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'8529057':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852906':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852907':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852908':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852909':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852910':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852912':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852913':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852914':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852915':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852916':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852917':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852918':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852919':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852920':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852921':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852922':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852923':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852924':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852925':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852926':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852927':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852928':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852929':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'8529290':{'en': 'Multibyte', 'zh': 'Multibyte', 'zh_Hant': 'Multibyte'},
'852930':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852931':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852932':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852933':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852934':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852935':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852936':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852937':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852938':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852940':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852941':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852942':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852943':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852944':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852945':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852946':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852947':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852948':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852949':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852950':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852951':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852952':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852953':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852954':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852955':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852956':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'852957':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852958':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852960':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852961':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852962':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852963':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852964':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852965':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852966':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852967':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852968':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852969':{'en': 'China-Hongkong Telecom', 'zh': u('\u4e2d\u6e2f\u901a'), 'zh_Hant': u('\u4e2d\u6e2f\u901a')},
'852970':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852971':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852972':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852973':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852974':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852975':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852976':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852977':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852978':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852979':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'852980':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852981':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852982':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852983':{'en': '3', 'zh': '3', 'zh_Hant': '3'},
'852984':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852985':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852986':{'en': 'SmarTone', 'zh': u('\u6570\u7801\u901a'), 'zh_Hant': u('\u6578\u78bc\u901a')},
'852987':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'852988':{'en': 'HKT', 'zh': u('\u9999\u6e2f\u79fb\u52a8\u901a\u8baf'), 'zh_Hant': u('\u9999\u6e2f\u79fb\u52d5\u901a\u8a0a')},
'853620':{'en': 'CTM'},
'8536200':{'en': 'SmarTone'},
'853621':{'en': 'China Telecom'},
'853622':{'en': '3'},
'853623':{'en': 'CTM'},
'853624':{'en': '3'},
'8536242':{'en': 'CTM'},
'8536243':{'en': 'CTM'},
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'8536245':{'en': 'SmarTone'},
'853625':{'en': 'SmarTone'},
'8536250':{'en': 'CTM'},
'8536251':{'en': 'CTM'},
'8536252':{'en': 'CTM'},
'8536253':{'en': 'CTM'},
'853626':{'en': 'SmarTone'},
'8536264':{'en': 'CTM'},
'8536265':{'en': 'CTM'},
'8536266':{'en': 'CTM'},
'8536267':{'en': 'CTM'},
'8536270':{'en': 'SmarTone'},
'8536271':{'en': 'SmarTone'},
'8536272':{'en': 'CTM'},
'8536273':{'en': 'CTM'},
'8536274':{'en': 'CTM'},
'8536275':{'en': 'CTM'},
'8536276':{'en': '3'},
'8536277':{'en': '3'},
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'853629':{'en': 'CTM'},
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'8536293':{'en': '3'},
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'8536295':{'en': '3'},
'853630':{'en': '3'},
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'8536301':{'en': 'CTM'},
'8536302':{'en': 'CTM'},
'8536309':{'en': 'CTM'},
'853631':{'en': '3'},
'853632':{'en': 'CTM'},
'8536320':{'en': '3'},
'8536321':{'en': '3'},
'8536322':{'en': 'China Telecom'},
'8536323':{'en': 'China Telecom'},
'853633':{'en': 'CTM'},
'8536336':{'en': '3'},
'8536337':{'en': '3'},
'8536338':{'en': '3'},
'8536339':{'en': '3'},
'8536340':{'en': 'China Telecom'},
'8536341':{'en': 'China Telecom'},
'8536342':{'en': 'China Telecom'},
'8536343':{'en': 'China Telecom'},
'8536344':{'en': '3'},
'8536345':{'en': 'CTM'},
'8536346':{'en': 'CTM'},
'8536347':{'en': 'CTM'},
'8536348':{'en': 'CTM'},
'8536349':{'en': 'CTM'},
'853635':{'en': 'China Telecom'},
'853636':{'en': 'SmarTone'},
'853637':{'en': 'China Telecom'},
'8536378':{'en': '3'},
'8536379':{'en': '3'},
'853638':{'en': '3'},
'8536386':{'en': 'China Telecom'},
'8536387':{'en': 'China Telecom'},
'8536388':{'en': 'China Telecom'},
'8536389':{'en': 'China Telecom'},
'853639':{'en': 'CTM'},
'8536390':{'en': 'China Telecom'},
'8536391':{'en': 'China Telecom'},
'8536398':{'en': '3'},
'8536399':{'en': '3'},
'8536500':{'en': '3'},
'8536501':{'en': '3'},
'8536502':{'en': '3'},
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'8536504':{'en': '3'},
'8536515':{'en': 'CTM'},
'8536516':{'en': 'CTM'},
'8536517':{'en': 'CTM'},
'8536518':{'en': 'CTM'},
'8536519':{'en': 'CTM'},
'853652':{'en': 'CTM'},
'8536520':{'en': 'China Telecom'},
'8536521':{'en': 'China Telecom'},
'8536522':{'en': 'China Telecom'},
'8536523':{'en': 'China Telecom'},
'853653':{'en': 'CTM'},
'8536532':{'en': '3'},
'8536533':{'en': '3'},
'8536534':{'en': '3'},
'8536535':{'en': '3'},
'8536540':{'en': '3'},
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'85365420':{'en': '3'},
'85365421':{'en': '3'},
'85365422':{'en': '3'},
'85365423':{'en': '3'},
'85365424':{'en': '3'},
'85365425':{'en': 'China Telecom'},
'85365426':{'en': 'China Telecom'},
'85365427':{'en': 'China Telecom'},
'85365428':{'en': 'China Telecom'},
'85365429':{'en': 'China Telecom'},
'8536543':{'en': 'China Telecom'},
'8536544':{'en': 'China Telecom'},
'8536545':{'en': 'CTM'},
'8536546':{'en': 'CTM'},
'85365470':{'en': 'CTM'},
'85365471':{'en': 'CTM'},
'85365472':{'en': 'CTM'},
'85365473':{'en': 'CTM'},
'85365474':{'en': 'CTM'},
'85365475':{'en': 'SmarTone'},
'85365476':{'en': 'SmarTone'},
'85365477':{'en': 'SmarTone'},
'85365478':{'en': 'SmarTone'},
'85365479':{'en': 'SmarTone'},
'8536548':{'en': 'SmarTone'},
'8536549':{'en': 'SmarTone'},
'853655':{'en': 'CTM'},
'8536556':{'en': 'China Telecom'},
'8536557':{'en': 'China Telecom'},
'8536558':{'en': 'China Telecom'},
'8536559':{'en': 'China Telecom'},
'853656':{'en': 'China Telecom'},
'853657':{'en': '3'},
'8536570':{'en': 'China Telecom'},
'8536571':{'en': 'China Telecom'},
'8536572':{'en': 'China Telecom'},
'8536573':{'en': 'China Telecom'},
'853658':{'en': 'China Telecom'},
'8536586':{'en': 'CTM'},
'8536587':{'en': 'CTM'},
'8536588':{'en': 'CTM'},
'8536589':{'en': 'CTM'},
'853659':{'en': 'CTM'},
'8536598':{'en': 'China Telecom'},
'8536599':{'en': 'China Telecom'},
'85366001':{'en': 'CTM'},
'8536601':{'en': 'CTM'},
'8536602':{'en': 'SmarTone'},
'8536603':{'en': '3'},
'8536604':{'en': 'SmarTone'},
'8536605':{'en': 'China Telecom'},
'8536610':{'en': '3'},
'8536611':{'en': '3'},
'8536612':{'en': 'CTM'},
'8536613':{'en': 'CTM'},
'8536614':{'en': 'SmarTone'},
'8536615':{'en': 'SmarTone'},
'8536616':{'en': '3'},
'8536617':{'en': '3'},
'8536618':{'en': 'CTM'},
'8536619':{'en': 'CTM'},
'853662':{'en': 'SmarTone'},
'853663':{'en': '3'},
'853664':{'en': '3'},
'8536640':{'en': 'SmarTone'},
'8536641':{'en': 'SmarTone'},
'8536647':{'en': 'CTM'},
'8536649':{'en': 'China Telecom'},
'853665':{'en': 'CTM'},
'8536656':{'en': '3'},
'8536657':{'en': '3'},
'853666':{'en': 'CTM'},
'8536670':{'en': 'China Telecom'},
'8536671':{'en': 'China Telecom'},
'8536672':{'en': 'CTM'},
'8536673':{'en': 'SmarTone'},
'8536674':{'en': '3'},
'8536675':{'en': 'CTM'},
'8536676':{'en': '3'},
'8536677':{'en': 'CTM'},
'8536678':{'en': 'SmarTone'},
'8536679':{'en': 'CTM'},
'853668':{'en': 'CTM'},
'8536690':{'en': 'Guangxing Communication Co'},
'8536691':{'en': 'Guangxing Communication Co'},
'8536692':{'en': 'CTM'},
'8536693':{'en': 'CTM'},
'8536694':{'en': '3'},
'8536695':{'en': '3'},
'8536696':{'en': 'CTM'},
'8536697':{'en': '3'},
'8536698':{'en': 'CTM'},
'8536699':{'en': 'China Telecom'},
'853680':{'en': '3'},
'8536810':{'en': 'CTM'},
'8536811':{'en': 'CTM'},
'8536812':{'en': 'CTM'},
'8536813':{'en': 'CTM'},
'8536814':{'en': 'CTM'},
'8536815':{'en': 'SmarTone'},
'8536816':{'en': 'SmarTone'},
'8536817':{'en': 'SmarTone'},
'8536818':{'en': 'SmarTone'},
'8536819':{'en': 'SmarTone'},
'853682':{'en': 'China Telecom'},
'853683':{'en': 'SmarTone'},
'8536840':{'en': '3'},
'8536841':{'en': '3'},
'8536842':{'en': '3'},
'8536843':{'en': '3'},
'8536844':{'en': '3'},
'8536845':{'en': 'CTM'},
'8536846':{'en': 'CTM'},
'8536847':{'en': 'CTM'},
'8536848':{'en': 'CTM'},
'8536849':{'en': 'CTM'},
'853685':{'en': '3'},
'853686':{'en': 'China Telecom'},
'8536870':{'en': 'SmarTone'},
'8536871':{'en': 'SmarTone'},
'8536872':{'en': 'SmarTone'},
'8536873':{'en': 'SmarTone'},
'8536874':{'en': 'SmarTone'},
'8536875':{'en': '3'},
'8536876':{'en': '3'},
'8536877':{'en': '3'},
'8536878':{'en': '3'},
'8536879':{'en': '3'},
'8536880':{'en': 'CTM'},
'8536881':{'en': 'CTM'},
'8536882':{'en': 'CTM'},
'8536883':{'en': 'CTM'},
'8536884':{'en': 'CTM'},
'8536885':{'en': 'China Telecom'},
'8536886':{'en': 'China Telecom'},
'8536887':{'en': 'China Telecom'},
'8536888':{'en': 'China Telecom'},
'8536889':{'en': 'China Telecom'},
'85510':{'en': 'Smart'},
'85511':{'en': 'Cellcard'},
'85512':{'en': 'Cellcard'},
'85513':{'en': 'qbmore/Cadcomms'},
'85514':{'en': 'Cellcard'},
'85515':{'en': 'Smart'},
'85516':{'en': 'Smart'},
'85517':{'en': 'Cellcard'},
'85518':{'en': 'Seatel'},
'8553248':{'en': 'Telecom Cambodia'},
'8553348':{'en': 'Telecom Cambodia'},
'8553448':{'en': 'Telecom Cambodia'},
'8553548':{'en': 'Telecom Cambodia'},
'8553648':{'en': 'Telecom Cambodia'},
'8554248':{'en': 'Telecom Cambodia'},
'8554348':{'en': 'Telecom Cambodia'},
'8554448':{'en': 'Telecom Cambodia'},
'8555248':{'en': 'Telecom Cambodia'},
'8555348':{'en': 'Telecom Cambodia'},
'8555448':{'en': 'Telecom Cambodia'},
'8555548':{'en': 'Telecom Cambodia'},
'85560':{'en': 'Metfone'},
'8556248':{'en': 'Telecom Cambodia'},
'8556348':{'en': 'Telecom Cambodia'},
'8556448':{'en': 'Telecom Cambodia'},
'8556548':{'en': 'Telecom Cambodia'},
'85566':{'en': 'Metfone'},
'85567':{'en': 'Metfone'},
'85568':{'en': 'Metfone'},
'85569':{'en': 'Smart'},
'85570':{'en': 'Smart'},
'85571':{'en': 'Metfone'},
'8557248':{'en': 'Metfone'},
'8557348':{'en': 'Metfone'},
'8557448':{'en': 'Metfone'},
'8557548':{'en': 'Metfone'},
'85577':{'en': 'Cellcard'},
'85578':{'en': 'Cellcard'},
'85581':{'en': 'Smart'},
'85586':{'en': 'Smart'},
'85588':{'en': 'Metfone'},
'85589':{'en': 'Cellcard'},
'85590':{'en': 'Metfone'},
'85592':{'en': 'Cellcard'},
'85593':{'en': 'Smart'},
'85595':{'en': 'Cellcard'},
'85596':{'en': 'Smart'},
'85597':{'en': 'Metfone'},
'85598':{'en': 'Smart'},
'85599':{'en': 'Cellcard'},
'856202':{'en': 'ETL'},
'856203':{'en': 'ETL'},
'856205':{'en': 'Lao Telecom'},
'856207':{'en': 'Beeline'},
'856209':{'en': 'Unitel'},
'856302':{'en': 'ETL'},
'86130':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86131':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86132':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86133':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'861340':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861341':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861342':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861343':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861344':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861345':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861346':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861347':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861348':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86135':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86136':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86137':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86138':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86139':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86145':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86147':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'8615':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86153':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86155':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86156':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86166':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86167':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'861700':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'861701':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'861702':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'861703':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861704':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'861705':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861706':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'861707':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'861708':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'861709':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86171':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86172':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86173':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86174':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86175':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86176':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86177':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86178':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86180':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86181':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86182':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86183':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86184':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86185':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86186':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a'), 'zh_Hant': u('\u4e2d\u570b\u806f\u901a')},
'86187':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86188':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8'), 'zh_Hant': u('\u4e2d\u570b\u79fb\u52d5')},
'86189':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86190':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1')},
'86191':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1')},
'86193':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1')},
'86195':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'86196':{'en': 'China Unicom', 'zh': u('\u4e2d\u56fd\u8054\u901a')},
'86197':{'en': 'China Mobile', 'zh': u('\u4e2d\u56fd\u79fb\u52a8')},
'86198':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'86199':{'en': 'China Telecom', 'zh': u('\u4e2d\u56fd\u7535\u4fe1'), 'zh_Hant': u('\u4e2d\u570b\u96fb\u4fe1')},
'88011':{'en': 'Citycell'},
'88013':{'en': 'Grameenphone'},
'88014':{'en': 'Banglalink'},
'88015':{'en': 'TeleTalk'},
'88016':{'en': 'Airtel'},
'88017':{'en': 'Grameenphone'},
'88018':{'en': 'Robi'},
'88019':{'en': 'Banglalink'},
'8810':{'en': 'ico satellite'},
'8811':{'en': 'ico satellite'},
'8812':{'en': 'ellipso satellite'},
'8813':{'en': 'ellipso satellite'},
'8816':{'en': 'iridium satellite'},
'8817':{'en': 'iridium satellite'},
'8818':{'en': 'globalstar'},
'8819':{'en': 'globalstar'},
'88232':{'en': 'Maritime Communications Partner (MCP)'},
'88233':{'en': 'Oration Technologies'},
'882342':{'en': 'BebbiCell AG'},
'882347':{'en': 'BebbiCell AG'},
'88237':{'en': 'AT&T Cingular Wireless Network'},
'8864000':{'en': 'Chunghwa Telecom'},
'886900':{'en': 'FarEasTone'},
'8869006':{'en': 'Chunghwa Telecom'},
'8869007':{'en': 'Chunghwa Telecom'},
'8869008':{'en': 'Chunghwa Telecom'},
'8869009':{'en': 'Chunghwa Telecom'},
'8869010':{'en': 'Taiwan Mobile'},
'8869011':{'en': 'Taiwan Mobile'},
'8869012':{'en': 'Taiwan Mobile'},
'8869013':{'en': 'Taiwan Mobile'},
'8869014':{'en': 'Taiwan Mobile'},
'8869020':{'en': 'T Star'},
'8869021':{'en': 'T Star'},
'8869022':{'en': 'T Star'},
'8869023':{'en': 'T Star'},
'8869024':{'en': 'T Star'},
'886903':{'en': 'FarEasTone'},
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'8869041':{'en': 'Taiwan Mobile'},
'8869042':{'en': 'Taiwan Mobile'},
'886905':{'en': 'Chunghwa Telecom'},
'886906':{'en': 'Asia-Pacific Telecom'},
'886907':{'en': 'Asia-Pacific Telecom'},
'886908':{'en': 'T Star'},
'886909':{'en': 'Taiwan Mobile'},
'886910':{'en': 'Chunghwa Telecom'},
'886911':{'en': 'Chunghwa Telecom'},
'886912':{'en': 'Chunghwa Telecom'},
'886913':{'en': 'FarEasTone'},
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'8869141':{'en': 'Taiwan Mobile'},
'8869142':{'en': 'Taiwan Mobile'},
'886915':{'en': 'FarEasTone'},
'886916':{'en': 'FarEasTone'},
'886917':{'en': 'FarEasTone'},
'886918':{'en': 'Taiwan Mobile'},
'886919':{'en': 'Chunghwa Telecom'},
'886920':{'en': 'Taiwan Mobile'},
'886921':{'en': 'Chunghwa Telecom'},
'886922':{'en': 'Taiwan Mobile'},
'886923':{'en': 'Taiwan Mobile'},
'8869240':{'en': 'Taiwan Mobile'},
'8869241':{'en': 'Taiwan Mobile'},
'886925':{'en': 'FarEasTone'},
'886926':{'en': 'FarEasTone'},
'886927':{'en': 'FarEasTone'},
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'886930':{'en': 'FarEasTone'},
'886931':{'en': 'Taiwan Mobile'},
'8869310':{'en': 'FarEasTone'},
'8869311':{'en': 'FarEasTone'},
'8869312':{'en': 'FarEasTone'},
'8869313':{'en': 'FarEasTone'},
'886932':{'en': 'Chunghwa Telecom'},
'886933':{'en': 'Chunghwa Telecom'},
'886934':{'en': 'Chunghwa Telecom'},
'886935':{'en': 'Taiwan Mobile'},
'886936':{'en': 'FarEasTone'},
'886937':{'en': 'Chunghwa Telecom'},
'886938':{'en': 'FarEasTone'},
'886939':{'en': 'Taiwan Mobile'},
'886952':{'en': 'Taiwan Mobile'},
'886953':{'en': 'Taiwan Mobile'},
'8869540':{'en': 'FarEasTone'},
'8869541':{'en': 'FarEasTone'},
'886955':{'en': 'FarEasTone'},
'886956':{'en': 'Taiwan Mobile'},
'886958':{'en': 'Taiwan Mobile'},
'8869600':{'en': 'Taiwan Mobile'},
'8869601':{'en': 'Taiwan Mobile'},
'8869602':{'en': 'Taiwan Mobile'},
'8869603':{'en': 'Taiwan Mobile'},
'8869604':{'en': 'Taiwan Mobile'},
'8869605':{'en': 'FarEasTone'},
'8869606':{'en': 'FarEasTone'},
'8869607':{'en': 'FarEasTone'},
'8869608':{'en': 'FarEasTone'},
'8869609':{'en': 'FarEasTone'},
'8869610':{'en': 'Taiwan Mobile'},
'8869611':{'en': 'Taiwan Mobile'},
'8869612':{'en': 'Taiwan Mobile'},
'8869613':{'en': 'Taiwan Mobile'},
'8869614':{'en': 'Taiwan Mobile'},
'8869615':{'en': 'Taiwan Mobile'},
'8869620':{'en': 'FarEasTone'},
'886963':{'en': 'Chunghwa Telecom'},
'8869650':{'en': 'Chunghwa Telecom'},
'8869651':{'en': 'Chunghwa Telecom'},
'8869652':{'en': 'Chunghwa Telecom'},
'8869653':{'en': 'Chunghwa Telecom'},
'8869654':{'en': 'Chunghwa Telecom'},
'8869655':{'en': 'Chunghwa Telecom'},
'8869656':{'en': 'Chunghwa Telecom'},
'8869657':{'en': 'Chunghwa Telecom'},
'8869658':{'en': 'Chunghwa Telecom'},
'8869660':{'en': 'Taiwan Mobile'},
'8869661':{'en': 'Taiwan Mobile'},
'8869662':{'en': 'Taiwan Mobile'},
'8869663':{'en': 'Taiwan Mobile'},
'8869664':{'en': 'Chunghwa Telecom'},
'8869665':{'en': 'Chunghwa Telecom'},
'8869666':{'en': 'Chunghwa Telecom'},
'8869667':{'en': 'Chunghwa Telecom'},
'8869668':{'en': 'FarEasTone'},
'8869669':{'en': 'FarEasTone'},
'8869670':{'en': 'FarEasTone'},
'8869671':{'en': 'FarEasTone'},
'8869672':{'en': 'FarEasTone'},
'8869673':{'en': 'FarEasTone'},
'8869680':{'en': 'FarEasTone'},
'8869681':{'en': 'FarEasTone'},
'8869682':{'en': 'Asia-Pacific Telecom'},
'8869683':{'en': 'Asia-Pacific Telecom'},
'8869684':{'en': 'Asia-Pacific Telecom'},
'8869685':{'en': 'Asia-Pacific Telecom'},
'8869686':{'en': 'T Star'},
'8869687':{'en': 'T Star'},
'8869688':{'en': 'T Star'},
'8869689':{'en': 'T Star'},
'886970':{'en': 'Taiwan Mobile'},
'8869710':{'en': 'Taiwan Mobile'},
'8869711':{'en': 'Taiwan Mobile'},
'8869712':{'en': 'T Star'},
'8869713':{'en': 'T Star'},
'8869714':{'en': 'T Star'},
'8869715':{'en': 'T Star'},
'8869716':{'en': 'T Star'},
'8869717':{'en': 'T Star'},
'8869718':{'en': 'T Star'},
'886972':{'en': 'Chunghwa Telecom'},
'886973':{'en': 'T Star'},
'8869740':{'en': 'Chunghwa Telecom'},
'8869741':{'en': 'Chunghwa Telecom'},
'8869742':{'en': 'FarEasTone'},
'8869743':{'en': 'FarEasTone'},
'8869744':{'en': 'Taiwan Mobile'},
'8869745':{'en': 'Taiwan Mobile'},
'886975':{'en': 'Chunghwa Telecom'},
'886976':{'en': 'FarEasTone'},
'8869770':{'en': 'Asia-Pacific Telecom'},
'8869771':{'en': 'Asia-Pacific Telecom'},
'8869772':{'en': 'Asia-Pacific Telecom'},
'8869773':{'en': 'Asia-Pacific Telecom'},
'8869774':{'en': 'Asia-Pacific Telecom'},
'8869775':{'en': 'Asia-Pacific Telecom'},
'8869776':{'en': 'Asia-Pacific Telecom'},
'8869777':{'en': 'Asia-Pacific Telecom'},
'886978':{'en': 'Chunghwa Telecom'},
'886979':{'en': 'Taiwan Mobile'},
'886980':{'en': 'Asia-Pacific Telecom'},
'886981':{'en': 'FarEasTone'},
'886982':{'en': 'Asia-Pacific Telecom'},
'886983':{'en': 'Taiwan Mobile'},
'8869840':{'en': 'FarEasTone'},
'8869841':{'en': 'FarEasTone'},
'8869842':{'en': 'Chunghwa Telecom'},
'8869843':{'en': 'Chunghwa Telecom'},
'8869844':{'en': 'Taiwan Mobile'},
'8869845':{'en': 'Taiwan Mobile'},
'8869846':{'en': 'T Star'},
'8869847':{'en': 'T Star'},
'886985':{'en': 'Asia-Pacific Telecom'},
'886986':{'en': 'T Star'},
'886987':{'en': 'Taiwan Mobile'},
'886988':{'en': 'Chunghwa Telecom'},
'886989':{'en': 'FarEasTone'},
'9050':{'en': 'Turk Telekom'},
'9051616':{'en': 'Turkcell'},
'9053':{'en': 'Turkcell'},
'9053383':{'en': 'Kuzey Kibris Turkcell'},
'9053384':{'en': 'Kuzey Kibris Turkcell'},
'9053385':{'en': 'Kuzey Kibris Turkcell'},
'9053386':{'en': 'Kuzey Kibris Turkcell'},
'9053387':{'en': 'Kuzey Kibris Turkcell'},
'9054':{'en': 'Vodafone'},
'9054285':{'en': 'KKTC Telsim'},
'9054286':{'en': 'KKTC Telsim'},
'9054287':{'en': 'KKTC Telsim'},
'9054288':{'en': 'KKTC Telsim'},
'9055':{'en': 'Turk Telekom'},
'9056':{'en': 'Turkcell'},
'91600':{'en': 'Reliance Jio'},
'91602':{'en': 'BSNL MOBILE'},
'91603':{'en': 'BSNL MOBILE'},
'9161279':{'en': 'Idea'},
'91620':{'en': 'Reliance Jio'},
'916208':{'en': 'Vodafone'},
'916209':{'en': 'Idea'},
'916230':{'en': 'Airtel'},
'916232':{'en': 'Airtel'},
'916235':{'en': 'Idea'},
'916238':{'en': 'Reliance Jio'},
'916239':{'en': 'Reliance Jio'},
'91626':{'en': 'Reliance Jio'},
'916262':{'en': 'Idea'},
'916269':{'en': 'Idea'},
'91628':{'en': 'Reliance Jio'},
'916287':{'en': 'Airtel'},
'91629':{'en': 'Reliance Jio'},
'916292':{'en': 'Vodafone'},
'916293':{'en': 'Idea'},
'91630':{'en': 'Reliance Jio'},
'916309':{'en': 'Airtel'},
'91635':{'en': 'Reliance Jio'},
'916356':{'en': 'Idea'},
'916357':{'en': 'Vodafone'},
'916358':{'en': 'Airtel'},
'916359':{'en': 'Vodafone'},
'91636':{'en': 'Reliance Jio'},
'916364':{'en': 'Airtel'},
'916366':{'en': 'Airtel'},
'91637':{'en': 'Reliance Jio'},
'91638':{'en': 'Reliance Jio'},
'916384':{'en': 'Vodafone'},
'916385':{'en': 'Airtel'},
'916389':{'en': 'Vodafone'},
'91639':{'en': 'Reliance Jio'},
'916390':{'en': 'Vodafone'},
'916391':{'en': 'Vodafone'},
'916399':{'en': 'Idea'},
'9167479':{'en': 'Idea'},
'91690':{'en': 'Airtel'},
'91691':{'en': 'Vodafone'},
'91700':{'en': 'Reliance Jio'},
'91701':{'en': 'Reliance Jio'},
'917020':{'en': 'Reliance Jio'},
'917021':{'en': 'Reliance Jio'},
'917022':{'en': 'Airtel'},
'917023':{'en': 'Airtel'},
'917024':{'en': 'Airtel'},
'917025':{'en': 'Idea'},
'917026':{'en': 'Idea'},
'917027':{'en': 'Vodafone'},
'917028':{'en': 'Airtel'},
'917029':{'en': 'Reliance Jio'},
'917030':{'en': 'Vodafone'},
'917031':{'en': 'Aircel'},
'917032':{'en': 'Airtel'},
'917033':{'en': 'Airtel'},
'917034':{'en': 'Vodafone'},
'917035':{'en': 'Aircel'},
'917036':{'en': 'Idea'},
'917037':{'en': 'Telewings'},
'917038':{'en': 'Idea'},
'917039':{'en': 'Idea'},
'917040':{'en': 'Aircel'},
'917041':{'en': 'Telewings'},
'917042':{'en': 'Airtel'},
'917043':{'en': 'Airtel'},
'917044':{'en': 'Airtel'},
'917045':{'en': 'Vodafone'},
'917046':{'en': 'Idea'},
'917047':{'en': 'Airtel'},
'917048':{'en': 'Tata Docomo'},
'9170489':{'en': 'Reliance Jio'},
'917049':{'en': 'Idea'},
'917050':{'en': 'Telewings'},
'917051':{'en': 'Airtel'},
'917052':{'en': 'Idea'},
'917053':{'en': 'Aircel'},
'917054':{'en': 'Airtel'},
'917055':{'en': 'Idea'},
'917056':{'en': 'Idea'},
'917057':{'en': 'Idea'},
'917058':{'en': 'Telewings'},
'917059':{'en': 'Aircel'},
'917060':{'en': 'Airtel'},
'917061':{'en': 'Reliance Jio'},
'917062':{'en': 'Aircel'},
'917063':{'en': 'Airtel'},
'917064':{'en': 'Vodafone'},
'917065':{'en': 'Idea'},
'917066':{'en': 'Vodafone'},
'917067':{'en': 'Reliance Jio'},
'917068':{'en': 'Telewings'},
'917069':{'en': 'Vodafone'},
'917070':{'en': 'Airtel'},
'917071':{'en': 'Aircel'},
'917072':{'en': 'Vodafone'},
'917073':{'en': 'Airtel'},
'917074':{'en': 'Idea'},
'917075':{'en': 'Telewings'},
'917076':{'en': 'Vodafone'},
'917077':{'en': 'Airtel'},
'917078':{'en': 'Telewings'},
'917079':{'en': 'Idea'},
'917080':{'en': 'Airtel'},
'917081':{'en': 'Vodafone'},
'917082':{'en': 'Airtel'},
'917083':{'en': 'Idea'},
'917084':{'en': 'Idea'},
'917085':{'en': 'Airtel'},
'917086':{'en': 'Airtel'},
'917087':{'en': 'Airtel'},
'917088':{'en': 'Idea'},
'917089':{'en': 'Idea'},
'917090':{'en': 'Idea'},
'917091':{'en': 'Airtel'},
'917092':{'en': 'Idea'},
'917093':{'en': 'Airtel'},
'917094':{'en': 'Vodafone'},
'917095':{'en': 'Idea'},
'917096':{'en': 'Idea'},
'917097':{'en': 'Aircel'},
'917098':{'en': 'Aircel'},
'917099':{'en': 'Telewings'},
'917190':{'en': 'Airtel'},
'917191':{'en': 'Airtel'},
'917192':{'en': 'Airtel'},
'917193':{'en': 'Airtel'},
'917194':{'en': 'Airtel'},
'917195':{'en': 'Airtel'},
'91720':{'en': 'Tata Docomo'},
'917201':{'en': 'Idea'},
'917202':{'en': 'Idea'},
'917203':{'en': 'Idea'},
'917210':{'en': 'Aircel'},
'917211':{'en': 'Idea'},
'917217':{'en': 'Tata Docomo'},
'917218':{'en': 'Idea'},
'917219':{'en': 'Airtel'},
'9172199':{'en': 'Aircel'},
'917220':{'en': 'Aircel'},
'917221':{'en': 'Aircel'},
'917222':{'en': 'Aircel'},
'9172229':{'en': 'Airtel'},
'917223':{'en': 'Airtel'},
'917224':{'en': 'Airtel'},
'917225':{'en': 'Airtel'},
'917226':{'en': 'Airtel'},
'917227':{'en': 'Airtel'},
'917228':{'en': 'Airtel'},
'9172290':{'en': 'Airtel'},
'9172298':{'en': 'Vodafone'},
'9172299':{'en': 'Vodafone'},
'91723':{'en': 'Vodafone'},
'917236':{'en': 'Idea'},
'917237':{'en': 'Idea'},
'917238':{'en': 'Idea'},
'917239':{'en': 'Idea'},
'917240':{'en': 'Idea'},
'917241':{'en': 'Idea'},
'917247':{'en': 'Idea'},
'917248':{'en': 'Idea'},
'9172489':{'en': 'Telewings'},
'917249':{'en': 'Telewings'},
'9172499':{'en': 'Vodafone'},
'917250':{'en': 'Airtel'},
'917251':{'en': 'Vodafone'},
'917252':{'en': 'Vodafone'},
'917253':{'en': 'Vodafone'},
'917254':{'en': 'Idea'},
'917255':{'en': 'Idea'},
'917256':{'en': 'Idea'},
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'919371':{'en': 'Idea'},
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'919376':{'en': 'Vodafone'},
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'9193781':{'en': 'Airtel'},
'9193830':{'en': 'Airtel'},
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'9193833':{'en': 'Airtel'},
'919384':{'en': 'Airtel'},
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'9194':{'en': 'BSNL MOBILE'},
'919500':{'en': 'Airtel'},
'919501':{'en': 'Airtel'},
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'919503':{'en': 'Airtel'},
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'919506':{'en': 'Idea'},
'919507':{'en': 'Idea'},
'919508':{'en': 'Reliance Jio'},
'919509':{'en': 'Reliance Jio'},
'919510':{'en': 'Reliance Jio'},
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'9195111':{'en': 'Airtel'},
'9195112':{'en': 'Reliance Jio'},
'9195113':{'en': 'Airtel'},
'9195114':{'en': 'Airtel'},
'9195115':{'en': 'Reliance Jio'},
'9195116':{'en': 'Reliance Jio'},
'9195117':{'en': 'Reliance Jio'},
'9195118':{'en': 'Reliance Jio'},
'9195119':{'en': 'Airtel'},
'919512':{'en': 'Vodafone'},
'919513':{'en': 'Vodafone'},
'919514':{'en': 'Idea'},
'919515':{'en': 'Airtel'},
'919516':{'en': 'Idea'},
'919517':{'en': 'Vodafone'},
'919518':{'en': 'Reliance Jio'},
'919519':{'en': 'Airtel'},
'9195200':{'en': 'Telewings'},
'9195205':{'en': 'Telewings'},
'9195206':{'en': 'Telewings'},
'9195207':{'en': 'Telewings'},
'9195208':{'en': 'Tata Docomo'},
'9195209':{'en': 'Tata Docomo'},
'919521':{'en': 'Airtel'},
'9195219':{'en': 'Aircel'},
'919522':{'en': 'Vodafone'},
'919523':{'en': 'Airtel'},
'919524':{'en': 'Aircel'},
'919525':{'en': 'Idea'},
'919526':{'en': 'Idea'},
'919527':{'en': 'Idea'},
'919528':{'en': 'Reliance Jio'},
'919529':{'en': 'Reliance Jio'},
'919530':{'en': 'BSNL MOBILE'},
'919531':{'en': 'BSNL MOBILE'},
'919532':{'en': 'BSNL MOBILE'},
'919533':{'en': 'Reliance Jio'},
'919534':{'en': 'Vodafone'},
'919535':{'en': 'Airtel'},
'919536':{'en': 'Vodafone'},
'919537':{'en': 'Vodafone'},
'919538':{'en': 'Vodafone'},
'919539':{'en': 'Vodafone'},
'919540':{'en': 'Idea'},
'919541':{'en': 'Reliance Jio'},
'919542':{'en': 'Idea'},
'919543':{'en': 'Reliance Jio'},
'919544':{'en': 'Idea'},
'919545':{'en': 'Vodafone'},
'919546':{'en': 'Airtel'},
'919547':{'en': 'Airtel'},
'919548':{'en': 'Reliance Jio'},
'919549':{'en': 'Vodafone'},
'919550':{'en': 'Airtel'},
'919551':{'en': 'Aircel'},
'919552':{'en': 'Idea'},
'919553':{'en': 'Idea'},
'919554':{'en': 'Vodafone'},
'919555':{'en': 'Reliance Jio'},
'919556':{'en': 'Airtel'},
'919557':{'en': 'Airtel'},
'919558':{'en': 'Airtel'},
'919559':{'en': 'Airtel'},
'919560':{'en': 'Airtel'},
'919561':{'en': 'Airtel'},
'919562':{'en': 'Idea'},
'919563':{'en': 'Aircel'},
'919564':{'en': 'Vodafone'},
'919565':{'en': 'Vodafone'},
'919566':{'en': 'Airtel'},
'919567':{'en': 'Airtel'},
'919568':{'en': 'Idea'},
'919569':{'en': 'Reliance Jio'},
'919570':{'en': 'Vodafone'},
'919571':{'en': 'Airtel'},
'919572':{'en': 'Airtel'},
'919573':{'en': 'Airtel'},
'919574':{'en': 'Idea'},
'919575':{'en': 'Idea'},
'919576':{'en': 'Idea'},
'919577':{'en': 'Aircel'},
'919578':{'en': 'Aircel'},
'919579':{'en': 'Reliance Jio'},
'91958':{'en': 'Vodafone'},
'919580':{'en': 'Reliance Jio'},
'919588':{'en': 'Reliance Jio'},
'919589':{'en': 'Airtel'},
'919590':{'en': 'Reliance Jio'},
'919591':{'en': 'Airtel'},
'919592':{'en': 'Idea'},
'919593':{'en': 'Vodafone'},
'919594':{'en': 'Idea'},
'919595':{'en': 'Reliance Jio'},
'919596':{'en': 'Airtel'},
'919597':{'en': 'Airtel'},
'919598':{'en': 'Idea'},
'919599':{'en': 'Airtel'},
'919600':{'en': 'Airtel'},
'919601':{'en': 'Airtel'},
'919602':{'en': 'Airtel'},
'919603':{'en': 'Idea'},
'919604':{'en': 'Idea'},
'919605':{'en': 'Idea'},
'919606':{'en': 'Airtel'},
'919607':{'en': 'Reliance Jio'},
'919608':{'en': 'Reliance Jio'},
'919609':{'en': 'Vodafone'},
'919610':{'en': 'Vodafone'},
'919611':{'en': 'Airtel'},
'919612':{'en': 'Airtel'},
'919613':{'en': 'Aircel'},
'919614':{'en': 'Aircel'},
'919615':{'en': 'Aircel'},
'919616':{'en': 'Idea'},
'919617':{'en': 'Idea'},
'919618':{'en': 'Airtel'},
'919619':{'en': 'Vodafone'},
'919620':{'en': 'Vodafone'},
'919621':{'en': 'Airtel'},
'919622':{'en': 'Airtel'},
'919623':{'en': 'Idea'},
'919624':{'en': 'Idea'},
'919625':{'en': 'Reliance Jio'},
'919626':{'en': 'Vodafone'},
'919627':{'en': 'Vodafone'},
'919628':{'en': 'Vodafone'},
'919629':{'en': 'Airtel'},
'919630':{'en': 'Airtel'},
'919631':{'en': 'Airtel'},
'919632':{'en': 'Airtel'},
'919633':{'en': 'Airtel'},
'919634':{'en': 'Airtel'},
'919635':{'en': 'Airtel'},
'919636':{'en': 'Airtel'},
'919637':{'en': 'Vodafone'},
'919639':{'en': 'Idea'},
'919640':{'en': 'Idea'},
'919641':{'en': 'Reliance Jio'},
'919642':{'en': 'Vodafone'},
'919644':{'en': 'Idea'},
'919645':{'en': 'Vodafone'},
'919646':{'en': 'Vodafone'},
'919647':{'en': 'Vodafone'},
'919648':{'en': 'Vodafone'},
'919649':{'en': 'Vodafone'},
'919650':{'en': 'Airtel'},
'919651':{'en': 'Airtel'},
'919652':{'en': 'Airtel'},
'919653':{'en': 'Reliance Jio'},
'9196535':{'en': 'Airtel'},
'9196537':{'en': 'Airtel'},
'9196538':{'en': 'Airtel'},
'9196539':{'en': 'Airtel'},
'919654':{'en': 'Vodafone'},
'919655':{'en': 'Vodafone'},
'919656':{'en': 'Idea'},
'919657':{'en': 'Idea'},
'919658':{'en': 'Aircel'},
'919659':{'en': 'Aircel'},
'91966':{'en': 'Airtel'},
'919664':{'en': 'Reliance Jio'},
'919666':{'en': 'Idea'},
'919669':{'en': 'Idea'},
'91967':{'en': 'Vodafone'},
'919676':{'en': 'Airtel'},
'919677':{'en': 'Airtel'},
'919678':{'en': 'Airtel'},
'919679':{'en': 'Airtel'},
'919680':{'en': 'Airtel'},
'919681':{'en': 'Reliance Jio'},
'919682':{'en': 'Idea'},
'9196821':{'en': 'Reliance Jio'},
'9196823':{'en': 'Reliance Jio'},
'9196825':{'en': 'Reliance Jio'},
'9196826':{'en': 'Reliance Jio'},
'919683':{'en': 'BSNL MOBILE'},
'919684':{'en': 'BSNL MOBILE'},
'919685':{'en': 'Airtel'},
'919686':{'en': 'Airtel'},
'919687':{'en': 'Vodafone'},
'919688':{'en': 'Aircel'},
'919689':{'en': 'Idea'},
'919690':{'en': 'Idea'},
'919691':{'en': 'Reliance Jio'},
'919692':{'en': 'Reliance Jio'},
'919693':{'en': 'Reliance Jio'},
'919694':{'en': 'Idea'},
'919695':{'en': 'Airtel'},
'919696':{'en': 'Reliance Jio'},
'919697':{'en': 'Aircel'},
'919698':{'en': 'Aircel'},
'919699':{'en': 'Reliance Jio'},
'919700':{'en': 'Aircel'},
'919701':{'en': 'Airtel'},
'919702':{'en': 'Idea'},
'919703':{'en': 'Vodafone'},
'919704':{'en': 'Airtel'},
'919705':{'en': 'Idea'},
'919706':{'en': 'Vodafone'},
'919707':{'en': 'Reliance Jio'},
'919708':{'en': 'Idea'},
'919709':{'en': 'Vodafone'},
'919710':{'en': 'Aircel'},
'919711':{'en': 'Vodafone'},
'919712':{'en': 'Vodafone'},
'919713':{'en': 'Vodafone'},
'919714':{'en': 'Idea'},
'919715':{'en': 'Aircel'},
'919716':{'en': 'Aircel'},
'919717':{'en': 'Airtel'},
'919718':{'en': 'Idea'},
'919719':{'en': 'Vodafone'},
'919720':{'en': 'Vodafone'},
'919721':{'en': 'Vodafone'},
'919722':{'en': 'Aircel'},
'919723':{'en': 'Idea'},
'919724':{'en': 'Airtel'},
'919725':{'en': 'Airtel'},
'919726':{'en': 'Vodafone'},
'919727':{'en': 'Vodafone'},
'919728':{'en': 'Idea'},
'919729':{'en': 'Airtel'},
'91973':{'en': 'Vodafone'},
'919730':{'en': 'Airtel'},
'919731':{'en': 'Airtel'},
'919737':{'en': 'Idea'},
'919738':{'en': 'Aircel'},
'919740':{'en': 'Airtel'},
'919741':{'en': 'Airtel'},
'919742':{'en': 'Vodafone'},
'919743':{'en': 'Idea'},
'919744':{'en': 'Idea'},
'919745':{'en': 'Vodafone'},
'919746':{'en': 'Airtel'},
'919747':{'en': 'Idea'},
'919748':{'en': 'Airtel'},
'919749':{'en': 'Reliance Jio'},
'919750':{'en': 'Aircel'},
'919751':{'en': 'Vodafone'},
'919752':{'en': 'Airtel'},
'919753':{'en': 'Idea'},
'919754':{'en': 'Idea'},
'919755':{'en': 'Airtel'},
'919756':{'en': 'Idea'},
'919757':{'en': 'MTNL'},
'919758':{'en': 'Vodafone'},
'919759':{'en': 'Vodafone'},
'919760':{'en': 'Airtel'},
'919761':{'en': 'Vodafone'},
'919762':{'en': 'Aircel'},
'919763':{'en': 'Idea'},
'919764':{'en': 'Vodafone'},
'919765':{'en': 'Vodafone'},
'919766':{'en': 'Airtel'},
'919767':{'en': 'Idea'},
'919768':{'en': 'Aircel'},
'919769':{'en': 'Vodafone'},
'919770':{'en': 'Reliance Jio'},
'919771':{'en': 'Airtel'},
'919772':{'en': 'Vodafone'},
'919773':{'en': 'Airtel'},
'9197730':{'en': 'Reliance Jio'},
'9197731':{'en': 'Reliance Jio'},
'9197732':{'en': 'Reliance Jio'},
'9197734':{'en': 'Reliance Jio'},
'919774':{'en': 'Vodafone'},
'919775':{'en': 'Vodafone'},
'919776':{'en': 'Vodafone'},
'919777':{'en': 'Airtel'},
'919778':{'en': 'Reliance Jio'},
'919779':{'en': 'Airtel'},
'919780':{'en': 'Vodafone'},
'919781':{'en': 'Idea'},
'919782':{'en': 'Aircel'},
'919783':{'en': 'Vodafone'},
'919784':{'en': 'Airtel'},
'919785':{'en': 'Idea'},
'919786':{'en': 'Vodafone'},
'919787':{'en': 'Vodafone'},
'919788':{'en': 'Aircel'},
'919789':{'en': 'Airtel'},
'91979':{'en': 'Airtel'},
'919792':{'en': 'Vodafone'},
'919795':{'en': 'Idea'},
'919796':{'en': 'Vodafone'},
'919798':{'en': 'Reliance Jio'},
'91980':{'en': 'Aircel'},
'919800':{'en': 'Airtel'},
'919801':{'en': 'Airtel'},
'919805':{'en': 'Airtel'},
'919810':{'en': 'Airtel'},
'919811':{'en': 'Vodafone'},
'919812':{'en': 'Idea'},
'919813':{'en': 'Vodafone'},
'919814':{'en': 'Idea'},
'919815':{'en': 'Airtel'},
'919816':{'en': 'Airtel'},
'919817':{'en': 'Reliance Jio'},
'919818':{'en': 'Airtel'},
'919819':{'en': 'Vodafone'},
'919820':{'en': 'Vodafone'},
'919821':{'en': 'Airtel'},
'919822':{'en': 'Idea'},
'919823':{'en': 'Vodafone'},
'919824':{'en': 'Idea'},
'919825':{'en': 'Vodafone'},
'919826':{'en': 'Idea'},
'919827':{'en': 'Reliance Jio'},
'919828':{'en': 'Vodafone'},
'919829':{'en': 'Airtel'},
'919830':{'en': 'Vodafone'},
'919831':{'en': 'Airtel'},
'919832':{'en': 'Reliance Jio'},
'919833':{'en': 'Vodafone'},
'919834':{'en': 'Reliance Jio'},
'919835':{'en': 'Reliance Jio'},
'919836':{'en': 'Vodafone'},
'919837':{'en': 'Idea'},
'919838':{'en': 'Vodafone'},
'919839':{'en': 'Vodafone'},
'919840':{'en': 'Airtel'},
'919841':{'en': 'Aircel'},
'919842':{'en': 'Aircel'},
'919843':{'en': 'Vodafone'},
'919844':{'en': 'Idea'},
'919845':{'en': 'Airtel'},
'919846':{'en': 'Vodafone'},
'919847':{'en': 'Idea'},
'919848':{'en': 'Idea'},
'919849':{'en': 'Airtel'},
'91985':{'en': 'Aircel'},
'919850':{'en': 'Idea'},
'919855':{'en': 'Idea'},
'919860':{'en': 'Airtel'},
'919861':{'en': 'Reliance Jio'},
'919862':{'en': 'Airtel'},
'919863':{'en': 'Reliance Jio'},
'919864':{'en': 'Reliance Jio'},
'919865':{'en': 'Aircel'},
'919866':{'en': 'Airtel'},
'919867':{'en': 'Airtel'},
'919868':{'en': 'MTNL'},
'919869':{'en': 'MTNL'},
'9198700':{'en': 'Reliance Jio'},
'9198701':{'en': 'Airtel'},
'9198702':{'en': 'Airtel'},
'9198703':{'en': 'Airtel'},
'9198704':{'en': 'Airtel'},
'9198705':{'en': 'Airtel'},
'9198706':{'en': 'Reliance Jio'},
'9198707':{'en': 'Reliance Jio'},
'9198708':{'en': 'Reliance Jio'},
'9198709':{'en': 'Reliance Jio'},
'919871':{'en': 'Airtel'},
'919872':{'en': 'Airtel'},
'919873':{'en': 'Vodafone'},
'919874':{'en': 'Vodafone'},
'9198753':{'en': 'Reliance Jio'},
'9198754':{'en': 'Reliance Jio'},
'9198755':{'en': 'Reliance Jio'},
'9198756':{'en': 'Reliance Jio'},
'9198757':{'en': 'Airtel'},
'9198758':{'en': 'Airtel'},
'9198759':{'en': 'Airtel'},
'919876':{'en': 'Airtel'},
'919877':{'en': 'Reliance Jio'},
'919878':{'en': 'Airtel'},
'919879':{'en': 'Vodafone'},
'919880':{'en': 'Airtel'},
'919881':{'en': 'Idea'},
'919882':{'en': 'Idea'},
'919883':{'en': 'Reliance Jio'},
'919884':{'en': 'Vodafone'},
'919885':{'en': 'Vodafone'},
'919886':{'en': 'Vodafone'},
'919887':{'en': 'Idea'},
'919888':{'en': 'Vodafone'},
'919889':{'en': 'Idea'},
'91989':{'en': 'Airtel'},
'919891':{'en': 'Idea'},
'919899':{'en': 'Vodafone'},
'91990':{'en': 'Airtel'},
'919904':{'en': 'Idea'},
'919905':{'en': 'Reliance Jio'},
'919907':{'en': 'Reliance Jio'},
'919909':{'en': 'Vodafone'},
'919910':{'en': 'Airtel'},
'919911':{'en': 'Idea'},
'919912':{'en': 'Idea'},
'919913':{'en': 'Vodafone'},
'919914':{'en': 'Idea'},
'919915':{'en': 'Airtel'},
'919916':{'en': 'Vodafone'},
'919917':{'en': 'Idea'},
'919918':{'en': 'Vodafone'},
'919919':{'en': 'Vodafone'},
'919920':{'en': 'Vodafone'},
'919921':{'en': 'Idea'},
'919922':{'en': 'Idea'},
'919923':{'en': 'Vodafone'},
'919924':{'en': 'Idea'},
'919925':{'en': 'Vodafone'},
'919926':{'en': 'Idea'},
'919927':{'en': 'Idea'},
'919928':{'en': 'Airtel'},
'919929':{'en': 'Airtel'},
'91993':{'en': 'Airtel'},
'919930':{'en': 'Vodafone'},
'919940':{'en': 'Airtel'},
'919941':{'en': 'Aircel'},
'919942':{'en': 'Aircel'},
'919943':{'en': 'Vodafone'},
'919944':{'en': 'Airtel'},
'919945':{'en': 'Airtel'},
'919946':{'en': 'Vodafone'},
'919947':{'en': 'Idea'},
'919948':{'en': 'Idea'},
'919949':{'en': 'Airtel'},
'91995':{'en': 'Airtel'},
'919951':{'en': 'Idea'},
'919953':{'en': 'Vodafone'},
'919960':{'en': 'Airtel'},
'919961':{'en': 'Idea'},
'919962':{'en': 'Vodafone'},
'919963':{'en': 'Airtel'},
'919964':{'en': 'Idea'},
'919965':{'en': 'Aircel'},
'919966':{'en': 'Vodafone'},
'919967':{'en': 'Airtel'},
'919968':{'en': 'MTNL'},
'919969':{'en': 'MTNL'},
'91997':{'en': 'Airtel'},
'919976':{'en': 'Aircel'},
'919977':{'en': 'Idea'},
'919978':{'en': 'Vodafone'},
'919979':{'en': 'Vodafone'},
'91998':{'en': 'Vodafone'},
'919980':{'en': 'Airtel'},
'919981':{'en': 'Airtel'},
'919987':{'en': 'Airtel'},
'919989':{'en': 'Airtel'},
'91999':{'en': 'Airtel'},
'919990':{'en': 'Idea'},
'919991':{'en': 'Vodafone'},
'919992':{'en': 'Idea'},
'919999':{'en': 'Vodafone'},
'9230':{'en': 'Mobilink'},
'9231':{'en': 'Zong'},
'9232':{'en': 'Warid'},
'9233':{'en': 'Ufone'},
'9234':{'en': 'Telenor'},
'9235':{'en': 'Special Communications Organization'},
'9236':{'en': 'Instaphone'},
'9370':{'en': 'AWCC', 'fa': u('\u0627\u0641\u063a\u0627\u0646 \u0628\u06cc \u0633\u06cc\u0645')},
'9371':{'en': 'AWCC', 'fa': u('\u0627\u0641\u063a\u0627\u0646 \u0628\u06cc \u0633\u06cc\u0645')},
'9372':{'en': 'Roshan', 'fa': u('\u0631\u0648\u0634\u0646')},
'9373':{'en': 'Etisalat', 'fa': u('\u0627\u062a\u0635\u0627\u0644\u0627\u062a')},
'93744':{'en': 'Afghan Telecom', 'fa': u('\u0627\u0641\u063a\u0627\u0646 \u062a\u0644\u06a9\u0627\u0645')},
'93747':{'en': 'Afghan Telecom', 'fa': u('\u0627\u0641\u063a\u0627\u0646 \u062a\u0644\u06a9\u0627\u0645')},
'93748':{'en': 'Afghan Telecom', 'fa': u('\u0627\u0641\u063a\u0627\u0646 \u062a\u0644\u06a9\u0627\u0645')},
'93749':{'en': 'Afghan Telecom', 'fa': u('\u0627\u0641\u063a\u0627\u0646 \u062a\u0644\u06a9\u0627\u0645')},
'9375':{'en': 'Afghan Telecom', 'fa': u('\u0627\u0641\u063a\u0627\u0646 \u062a\u0644\u06a9\u0627\u0645')},
'9376':{'en': 'MTN', 'fa': u('\u0627\u0645 \u062a\u06cc \u0627\u0646')},
'9377':{'en': 'MTN', 'fa': u('\u0627\u0645 \u062a\u06cc \u0627\u0646')},
'9378':{'en': 'Etisalat', 'fa': u('\u0627\u062a\u0635\u0627\u0644\u0627\u062a')},
'9379':{'en': 'Roshan', 'fa': u('\u0631\u0648\u0634\u0646')},
'9470':{'en': 'Mobitel'},
'9471':{'en': 'Mobitel'},
'9472':{'en': 'Etisalat'},
'9474':{'en': 'Dialog'},
'9475':{'en': 'Airtel'},
'9476':{'en': 'Dialog'},
'9477':{'en': 'Dialog'},
'9478':{'en': 'Hutch'},
'9592':{'en': 'MPT'},
'9593':{'en': 'MPT'},
'95940':{'en': 'MPT'},
'95941':{'en': 'MPT'},
'95942':{'en': 'MPT'},
'95943':{'en': 'MPT'},
'95944':{'en': 'MPT'},
'95945':{'en': 'MPT'},
'95947':{'en': 'MPT'},
'95949':{'en': 'MPT'},
'9595':{'en': 'MPT'},
'9596':{'en': 'Mytel'},
'9597':{'en': 'Telenor'},
'95973':{'en': 'MPT'},
'95981':{'en': 'MPT'},
'95983':{'en': 'MPT'},
'95984':{'en': 'MPT'},
'95985':{'en': 'MPT'},
'95986':{'en': 'MPT'},
'95987':{'en': 'MPT'},
'95988':{'en': 'MPT'},
'95989':{'en': 'MPT'},
'95991':{'en': 'MPT'},
'95994':{'en': 'Ooredoo'},
'95995':{'en': 'Ooredoo'},
'95996':{'en': 'Ooredoo'},
'95997':{'en': 'Ooredoo'},
'95998':{'en': 'Ooredoo'},
'9607':{'en': 'Dhiraagu'},
'96091':{'en': 'Ooredoo'},
'96093':{'en': 'Ooredoo'},
'96094':{'en': 'Ooredoo'},
'96095':{'en': 'Ooredoo'},
'96096':{'en': 'Ooredoo'},
'96097':{'en': 'Ooredoo'},
'96098':{'en': 'Ooredoo'},
'96099':{'en': 'Ooredoo'},
'96130':{'en': 'Touch'},
'96131':{'en': 'Alfa'},
'96132':{'en': 'Alfa'},
'96133':{'en': 'Alfa'},
'96134':{'en': 'Alfa'},
'96135':{'en': 'Alfa'},
'96136':{'en': 'Touch'},
'96137':{'en': 'Touch'},
'96138':{'en': 'Touch'},
'96139':{'en': 'Touch'},
'961700':{'en': 'Touch'},
'961701':{'en': 'Alfa'},
'961702':{'en': 'Alfa'},
'961703':{'en': 'Alfa'},
'961704':{'en': 'Alfa'},
'961705':{'en': 'Alfa'},
'961706':{'en': 'Touch'},
'961707':{'en': 'Touch'},
'961708':{'en': 'Touch'},
'961709':{'en': 'Touch'},
'961710':{'en': 'Alfa'},
'961711':{'en': 'Touch'},
'961712':{'en': 'Touch'},
'961713':{'en': 'Touch'},
'961714':{'en': 'Touch'},
'961715':{'en': 'Touch'},
'961716':{'en': 'Alfa'},
'961717':{'en': 'Alfa'},
'961718':{'en': 'Alfa'},
'961719':{'en': 'Alfa'},
'961760':{'en': 'Touch'},
'961761':{'en': 'Alfa'},
'961763':{'en': 'Alfa'},
'961764':{'en': 'Alfa'},
'961765':{'en': 'Alfa'},
'961766':{'en': 'Touch'},
'961767':{'en': 'Touch'},
'961768':{'en': 'Touch'},
'961769':{'en': 'Touch'},
'961788':{'en': 'Touch'},
'961789':{'en': 'Touch'},
'961791':{'en': 'Alfa'},
'961793':{'en': 'Alfa'},
'961810':{'en': 'Touch'},
'961811':{'en': 'Alfa'},
'961812':{'en': 'Alfa'},
'961813':{'en': 'Alfa'},
'961814':{'en': 'Alfa'},
'961815':{'en': 'Alfa'},
'961816':{'en': 'Touch'},
'961817':{'en': 'Touch'},
'961818':{'en': 'Touch'},
'961819':{'en': 'Touch'},
'96277':{'en': 'Orange'},
'96278':{'en': 'Umniah'},
'96279':{'en': 'Zain JO'},
'96392':{'en': 'Syriatel'},
'96393':{'en': 'Syriatel'},
'96394':{'en': 'MTN'},
'963950':{'en': 'MTN'},
'963952':{'en': 'MTN'},
'963954':{'en': 'MTN'},
'963955':{'en': 'MTN'},
'963956':{'en': 'MTN'},
'963957':{'en': 'MTN'},
'963958':{'en': 'MTN'},
'963959':{'en': 'MTN'},
'963962':{'en': 'MTN'},
'963963':{'en': 'MTN'},
'963964':{'en': 'MTN'},
'963965':{'en': 'MTN'},
'963966':{'en': 'MTN'},
'963967':{'en': 'MTN'},
'963968':{'en': 'MTN'},
'963969':{'en': 'MTN'},
'96398':{'en': 'Syriatel'},
'96399':{'en': 'Syriatel'},
'96473':{'en': 'ITPC'},
'9647400':{'en': 'Itisaluna'},
'9647401':{'en': 'Itisaluna'},
'9647435':{'en': 'Kalimat'},
'9647436':{'en': 'Kalimat'},
'9647444':{'en': 'Mobitel'},
'9647480':{'en': 'ITC Fanoos'},
'9647481':{'en': 'ITC Fanoos'},
'9647491':{'en': 'ITPC'},
'9647494':{'en': 'Imam Hussien Holy Shrine'},
'9647495':{'en': 'IraqTel'},
'9647496':{'en': 'IraqTel'},
'96475':{'en': 'Korek'},
'96476':{'en': 'Omnnea'},
'96477':{'en': 'Asiacell'},
'96478':{'en': 'Zain'},
'96479':{'en': 'Zain'},
'9655':{'ar': u('\u0641\u064a\u0641\u0627'), 'en': 'VIVA'},
'9656':{'ar': u('\u0623\u0648\u0631\u064a\u062f\u0648'), 'en': 'Ooredoo'},
'9659':{'ar': u('\u0632\u064a\u0646'), 'en': 'Zain'},
'96650':{'en': 'Mofawtar (STC)'},
'9665153':{'en': 'Mofawtar (STC)'},
'9665154':{'en': 'Mofawtar (STC)'},
'96653':{'en': 'Mofawtar (STC)'},
'96654':{'en': 'Mobily'},
'96655':{'en': 'Mofawtar (STC)'},
'96656':{'en': 'Mobily'},
'966570':{'en': 'Virgin'},
'966571':{'en': 'Virgin'},
'966572':{'en': 'Virgin'},
'966573':{'en': 'Virgin'},
'966576':{'en': 'Lebara'},
'966577':{'en': 'Lebara'},
'966578':{'en': 'Lebara'},
'96658':{'en': 'Zain'},
'96659':{'en': 'Zain'},
'96770':{'en': 'Y'},
'96771':{'en': 'SabaFon'},
'96773':{'en': 'MTN'},
'96777':{'en': 'Yemen Mobile'},
'9681':{'en': 'Ooredoo'},
'96871':{'en': 'Omantel'},
'96872':{'en': 'Omantel'},
'96878':{'en': 'Ooredoo'},
'968790':{'en': 'Ooredoo'},
'968791':{'en': 'Ooredoo'},
'968792':{'en': 'Ooredoo'},
'968793':{'en': 'Ooredoo'},
'968794':{'en': 'Ooredoo'},
'968795':{'en': 'Ooredoo'},
'968796':{'en': 'Ooredoo'},
'968901':{'en': 'Omantel'},
'968902':{'en': 'Omantel'},
'968903':{'en': 'Omantel'},
'968904':{'en': 'Omantel'},
'968905':{'en': 'Omantel'},
'968906':{'en': 'Omantel'},
'968907':{'en': 'Omantel'},
'968908':{'en': 'Omantel'},
'968909':{'en': 'Omantel'},
'96891':{'en': 'Omantel'},
'96892':{'en': 'Omantel'},
'96893':{'en': 'Omantel'},
'96894':{'en': 'Ooredoo'},
'96895':{'en': 'Ooredoo'},
'96896':{'en': 'Ooredoo'},
'96897':{'en': 'Ooredoo'},
'96898':{'en': 'Omantel'},
'96899':{'en': 'Omantel'},
'97056':{'en': 'Ooredoo Group'},
'97059':{'en': 'Palestine Cellular Communications'},
'97150':{'en': 'Etisalat'},
'97152':{'en': 'du'},
'97154':{'en': 'Etisalat'},
'97155':{'en': 'du'},
'97156':{'en': 'Etisalat'},
'97158':{'en': 'du'},
'97250':{'en': 'Pelephone'},
'97251':{'en': 'Xphone'},
'97252':{'en': 'Cellcom'},
'97253':{'en': 'Hot Mobile'},
'97254':{'en': 'Orange'},
'972550':{'en': 'Beezz'},
'9725517':{'en': 'Cellact'},
'9725519':{'en': 'Telzar'},
'972552':{'en': 'Telzar'},
'9725522':{'en': 'Home Cellular'},
'9725523':{'en': 'Home Cellular'},
'972553':{'en': 'Free Telecom'},
'972554':{'en': 'Cellran Cellular Communications'},
'9725550':{'en': 'Annatel'},
'9725551':{'en': 'Annatel'},
'9725555':{'en': 'Rami Levy'},
'972556':{'en': 'Rami Levy'},
'9725570':{'en': 'Cellact'},
'9725571':{'en': 'Cellact'},
'9725572':{'en': 'Cellact'},
'972558':{'en': 'Pelephone'},
'972559':{'en': 'Telzar'},
'97256':{'en': 'Wataniya'},
'97258':{'en': 'Golan Telecom'},
'97259':{'en': 'Jawwal'},
'97331':{'en': 'Royal Court'},
'97332':{'en': 'Batelco'},
'97333':{'en': 'VIVA'},
'97334':{'en': 'VIVA'},
'97335':{'en': 'VIVA'},
'97336':{'en': 'zain BH'},
'97337':{'en': 'zain BH'},
'97338':{'en': 'Batelco'},
'97339':{'en': 'Batelco'},
'97363':{'en': 'VIVA'},
'9736630':{'en': 'zain BH'},
'9736633':{'en': 'zain BH'},
'9736634':{'en': 'zain BH'},
'9736635':{'en': 'zain BH'},
'9736636':{'en': 'zain BH'},
'9736637':{'en': 'zain BH'},
'9736638':{'en': 'zain BH'},
'9736639':{'en': 'zain BH'},
'973666':{'en': 'zain BH'},
'9736670':{'en': 'Batelco'},
'9736671':{'en': 'Batelco'},
'9736672':{'en': 'Batelco'},
'9736673':{'en': 'Batelco'},
'9736674':{'en': 'Batelco'},
'9736675':{'en': 'Batelco'},
'9736676':{'en': 'Batelco'},
'973669':{'en': 'zain BH'},
'97428':{'en': 'ooredoo'},
'97430':{'en': 'Vodafone'},
'974310':{'en': 'Vodafone'},
'974311':{'en': 'Vodafone'},
'974312':{'en': 'Vodafone'},
'974313':{'en': 'Vodafone'},
'974314':{'en': 'Vodafone'},
'974315':{'en': 'Vodafone'},
'974316':{'en': 'Vodafone'},
'97433':{'en': 'ooredoo'},
'974399':{'en': 'ooredoo'},
'97450':{'en': 'ooredoo'},
'97455':{'en': 'ooredoo'},
'974599':{'en': 'ooredoo'},
'974600':{'en': 'ooredoo'},
'97466':{'en': 'ooredoo'},
'97470':{'en': 'Vodafone'},
'97474':{'en': 'Vodafone'},
'97477':{'en': 'Vodafone'},
'9751':{'en': 'B-Mobile of Bhutan Telecom'},
'97577':{'en': 'TashiCell of Tashi InfoComm'},
'97650':{'en': 'Unitel'},
'97655':{'en': 'Unitel'},
'97680':{'en': 'Unitel'},
'97683':{'en': 'G-Mobile'},
'97685':{'en': 'Mobicom'},
'97686':{'en': 'Unitel'},
'97688':{'en': 'Unitel'},
'97689':{'en': 'Unitel'},
'97690':{'en': 'Skytel'},
'97691':{'en': 'Skytel'},
'97692':{'en': 'Skytel'},
'97693':{'en': 'G-Mobile'},
'97694':{'en': 'Mobicom'},
'97695':{'en': 'Mobicom'},
'97696':{'en': 'Skytel'},
'97697':{'en': 'G-Mobile'},
'97698':{'en': 'G-Mobile'},
'97699':{'en': 'Mobicom'},
'977960':{'en': 'STM Telecom'},
'977961':{'en': 'Smart Telecom'},
'977962':{'en': 'Smart Telecom'},
'977963':{'en': 'NSTPL'},
'977972':{'en': 'UTL'},
'977974':{'en': 'NDCL'},
'977975':{'en': 'NDCL'},
'977980':{'en': 'NCell'},
'977981':{'en': 'NCell'},
'977982':{'en': 'NCell'},
'977984':{'en': 'Nepal Telecom'},
'977985':{'en': 'Nepal Telecom'},
'977986':{'en': 'Nepal Telecom'},
'977988':{'en': 'Smart Telecom'},
'9890':{'en': 'Irancell', 'fa': u('\u0627\u06cc\u0631\u0627\u0646\u0633\u0644')},
'9891':{'en': 'IR-MCI', 'fa': u('\u0647\u0645\u0631\u0627\u0647 \u0627\u0648\u0644')},
'9892':{'en': 'Rightel', 'fa': u('\u0631\u0627\u06cc\u062a\u0644')},
'9893':{'en': 'Irancell', 'fa': u('\u0627\u06cc\u0631\u0627\u0646\u0633\u0644')},
'98931':{'en': 'MTCE', 'fa': u('\u0627\u0633\u067e\u0627\u062f\u0627\u0646')},
'98932':{'en': 'Taliya', 'fa': u('\u062a\u0627\u0644\u06cc\u0627')},
'98934':{'en': 'TeleKish', 'fa': u('\u062a\u0644\u0647\u200c\u06a9\u06cc\u0634')},
'98990':{'en': 'IR-MCI', 'fa': u('\u0647\u0645\u0631\u0627\u0647 \u0627\u0648\u0644')},
'98991':{'en': 'IR-MCI', 'fa': u('\u0647\u0645\u0631\u0627\u0647 \u0627\u0648\u0644')},
'989944':{'en': 'Anarestan', 'fa': u('\u0627\u0646\u0627\u0631\u0633\u062a\u0627\u0646')},
'989981':{'en': 'Shatel Mobile', 'fa': u('\u0634\u0627\u062a\u0644 \u0645\u0648\u0628\u0627\u06cc\u0644')},
'9899900':{'en': 'LOTUSTEL', 'fa': u('\u0644\u0648\u062a\u0648\u0633\u200c\u062a\u0644')},
'989991':{'en': 'Irancell', 'fa': u('\u0627\u06cc\u0631\u0627\u0646\u0633\u0644')},
'989999':{'en': 'Rightel', 'fa': u('\u0631\u0627\u06cc\u062a\u0644')},
'9920':{'en': 'Megafon'},
'9921':{'en': 'Tcell'},
'9922':{'en': 'O-Mobile'},
'99240':{'en': 'Tacom'},
'99241':{'en': 'Megafon'},
'99250':{'en': 'Tcell'},
'99255':{'en': 'Megafon'},
'9927':{'en': 'Tcell'},
'99288':{'en': 'Megafon'},
'99290':{'en': 'Megafon'},
'992911':{'en': 'Tacom'},
'992915':{'en': 'Tacom'},
'992917':{'en': 'Tacom'},
'992918':{'en': 'Babilon-M'},
'992919':{'en': 'Tacom'},
'99292':{'en': 'Tcell'},
'99293':{'en': 'Tcell'},
'99294':{'en': 'Babilon-M'},
'99298':{'en': 'Babilon-M'},
'99299':{'en': 'Tcell'},
'99361':{'en': 'TM-Cell'},
'99362':{'en': 'TM-Cell'},
'99363':{'en': 'TM-Cell'},
'99364':{'en': 'TM-Cell'},
'99365':{'en': 'TM-Cell'},
'99366':{'en': 'MTS (BARASH Communication)'},
'99367':{'en': 'MTS (BARASH Communication)'},
'99368':{'en': 'MTS (BARASH Communication)'},
'99369':{'en': 'MTS (BARASH Communication)'},
'99410':{'en': 'Azercell'},
'99436554':{'en': 'Nakhtel'},
'99440':{'en': 'FONEX'},
'99444':{'en': 'Aztelekom'},
'99450':{'en': 'Azercell'},
'99451':{'en': 'Azercell'},
'99455':{'en': 'Bakcell'},
'99460':{'en': 'Nakhtel'},
'994602':{'en': 'Azercell'},
'994603':{'en': 'Azercell'},
'994604':{'en': 'Azercell'},
'994605':{'en': 'Azercell'},
'9946070':{'en': 'Azercell'},
'9946071':{'en': 'Azercell'},
'9946072':{'en': 'Azercell'},
'9947':{'en': 'Nar Mobile'},
'99499':{'en': 'Bakcell'},
'9955000':{'en': 'Mobilaive'},
'9955005':{'en': 'MagtiCom'},
'995505':{'en': 'MagtiCom'},
'995511':{'en': 'MagtiCom'},
'995514':{'en': 'Geocell'},
'99552':{'en': 'MagtiCom'},
'99553':{'en': 'MagtiCom'},
'99554444':{'en': 'MagtiCom'},
'995550':{'en': 'MagtiCom'},
'99555000':{'en': 'Geocell'},
'99555005':{'en': 'Geocell'},
'99555050':{'en': 'Geocell'},
'99555055':{'en': 'Datacom'},
'995551':{'en': 'MagtiCom'},
'9955520':{'en': 'Premium Net International SRL'},
'9955522':{'en': 'Asanet'},
'995555':{'en': 'Geocell'},
'995557':{'en': 'Geocell'},
'995558':{'en': 'Geocell'},
'995559':{'en': 'Globalcell'},
'995559995':{'en': 'DataHouse Global'},
'995559996':{'en': 'DataHouse Global'},
'995559997':{'en': 'DataHouse Global'},
'995559998':{'en': 'DataHouse Global'},
'995559999':{'en': 'DataHouse Global'},
'99556':{'en': 'Veon'},
'995570':{'en': 'Silknet'},
'995571':{'en': 'Veon'},
'995574':{'en': 'Veon'},
'9955750':{'en': 'Asanet'},
'9955757':{'en': 'MagtiCom'},
'995577':{'en': 'Geocell'},
'995579':{'en': 'Veon'},
'995585':{'en': 'MagtiCom'},
'995588':{'en': 'Geocell'},
'995591':{'en': 'MagtiCom'},
'995592':{'en': 'Veon'},
'995593':{'en': 'Geocell'},
'995595':{'en': 'MagtiCom'},
'995596':{'en': 'MagtiCom'},
'995597':{'en': 'Veon'},
'995598':{'en': 'MagtiCom'},
'995599':{'en': 'MagtiCom'},
'99579':{'en': 'MagtiCom'},
'99620':{'en': 'Aktel'},
'99622':{'en': 'Sky mobile'},
'99631258':{'en': 'Sky mobile'},
'996312973':{'en': 'Nur Telecom'},
'99650':{'en': 'Nur Telecom'},
'996506':{'en': 'Winline'},
'99651':{'en': 'Katel'},
'99654':{'en': 'Aktel'},
'99655':{'en': 'ALFA Telecom'},
'99656':{'en': 'Winline'},
'99657':{'en': 'Sotel'},
'99670':{'en': 'Nur Telecom'},
'99675':{'en': 'ALFA Telecom'},
'99677':{'en': 'Sky mobile'},
'99688':{'en': 'ALFA Telecom'},
'996990':{'en': 'ALFA Telecom'},
'996995':{'en': 'ALFA Telecom'},
'996996':{'en': 'Sky mobile'},
'996997':{'en': 'ALFA Telecom'},
'996998':{'en': 'ALFA Telecom'},
'996999':{'en': 'Sky mobile'},
'9983':{'en': 'Uzbektelecom'},
'9985':{'en': 'Uzbektelecom'},
'99861220':{'en': 'MobiUZ'},
'99861221':{'en': 'MobiUZ'},
'9986129':{'en': 'MobiUZ'},
'9986135':{'en': 'MobiUZ'},
'9986150':{'en': 'MobiUZ'},
'9986161':{'en': 'MobiUZ'},
'998617':{'en': 'MobiUZ'},
'998621':{'en': 'MobiUZ'},
'9986221':{'en': 'MobiUZ'},
'99862221':{'en': 'MobiUZ'},
'9986229':{'en': 'MobiUZ'},
'998625':{'en': 'MobiUZ'},
'998627':{'en': 'MobiUZ'},
'998651':{'en': 'MobiUZ'},
'99865227':{'en': 'MobiUZ'},
'9986529':{'en': 'MobiUZ'},
'9986530':{'en': 'MobiUZ'},
'9986559':{'en': 'MobiUZ'},
'998657':{'en': 'MobiUZ'},
'99866215':{'en': 'MobiUZ'},
'99866216':{'en': 'MobiUZ'},
'99866217':{'en': 'MobiUZ'},
'99866218':{'en': 'MobiUZ'},
'99866219':{'en': 'MobiUZ'},
'99866220':{'en': 'MobiUZ'},
'99866223':{'en': 'MobiUZ'},
'99866226':{'en': 'MobiUZ'},
'99866227':{'en': 'MobiUZ'},
'99866238':{'en': 'MobiUZ'},
'99866241':{'en': 'MobiUZ'},
'99866252':{'en': 'MobiUZ'},
'99866260':{'en': 'MobiUZ'},
'9986637':{'en': 'MobiUZ'},
'9986639':{'en': 'MobiUZ'},
'99866456':{'en': 'MobiUZ'},
'99866483':{'en': 'MobiUZ'},
'9986670':{'en': 'MobiUZ'},
'99866710':{'en': 'MobiUZ'},
'99866711':{'en': 'MobiUZ'},
'99866717':{'en': 'MobiUZ'},
'99866730':{'en': 'MobiUZ'},
'99866737':{'en': 'MobiUZ'},
'99866740':{'en': 'MobiUZ'},
'99866744':{'en': 'MobiUZ'},
'99866747':{'en': 'MobiUZ'},
'99866750':{'en': 'MobiUZ'},
'99866755':{'en': 'MobiUZ'},
'99866757':{'en': 'MobiUZ'},
'99866767':{'en': 'MobiUZ'},
'9986677':{'en': 'MobiUZ'},
'99866780':{'en': 'MobiUZ'},
'99866781':{'en': 'MobiUZ'},
'99866787':{'en': 'MobiUZ'},
'99866788':{'en': 'MobiUZ'},
'99866797':{'en': 'MobiUZ'},
'99866799':{'en': 'MobiUZ'},
'9986690':{'en': 'MobiUZ'},
'9986691':{'en': 'MobiUZ'},
'9986692':{'en': 'MobiUZ'},
'9986693':{'en': 'MobiUZ'},
'99867224':{'en': 'MobiUZ'},
'99867232':{'en': 'MobiUZ'},
'99867233':{'en': 'MobiUZ'},
'99867237':{'en': 'MobiUZ'},
'99867245':{'en': 'MobiUZ'},
'99867246':{'en': 'MobiUZ'},
'99867247':{'en': 'MobiUZ'},
'99867248':{'en': 'MobiUZ'},
'99867249':{'en': 'MobiUZ'},
'99867271':{'en': 'MobiUZ'},
'99867275':{'en': 'MobiUZ'},
'99867276':{'en': 'MobiUZ'},
'99867277':{'en': 'MobiUZ'},
'99867278':{'en': 'MobiUZ'},
'998675':{'en': 'MobiUZ'},
'9986770':{'en': 'MobiUZ'},
'9986773':{'en': 'MobiUZ'},
'99867790':{'en': 'MobiUZ'},
'99867797':{'en': 'MobiUZ'},
'998679':{'en': 'MobiUZ'},
'9986921':{'en': 'MobiUZ'},
'9986923':{'en': 'MobiUZ'},
'9986925':{'en': 'MobiUZ'},
'9986927':{'en': 'MobiUZ'},
'998695':{'en': 'MobiUZ'},
'9986962':{'en': 'MobiUZ'},
'9986968':{'en': 'MobiUZ'},
'998697':{'en': 'MobiUZ'},
'99870':{'en': 'MobiUZ'},
'99872227':{'en': 'MobiUZ'},
'99872229':{'en': 'MobiUZ'},
'9987229':{'en': 'MobiUZ'},
'9987232':{'en': 'MobiUZ'},
'9987236':{'en': 'MobiUZ'},
'9987257':{'en': 'MobiUZ'},
'998727':{'en': 'MobiUZ'},
'99873210':{'en': 'MobiUZ'},
'99873211':{'en': 'MobiUZ'},
'99873212':{'en': 'MobiUZ'},
'99873213':{'en': 'MobiUZ'},
'99873214':{'en': 'MobiUZ'},
'99873215':{'en': 'MobiUZ'},
'99873216':{'en': 'MobiUZ'},
'99873221':{'en': 'MobiUZ'},
'99873234':{'en': 'MobiUZ'},
'99873236':{'en': 'MobiUZ'},
'99873239':{'en': 'MobiUZ'},
'99873271':{'en': 'MobiUZ'},
'99873275':{'en': 'MobiUZ'},
'99873279':{'en': 'MobiUZ'},
'9987333':{'en': 'MobiUZ'},
'9987350':{'en': 'MobiUZ'},
'99873555':{'en': 'MobiUZ'},
'99873557':{'en': 'MobiUZ'},
'99873559':{'en': 'MobiUZ'},
'9987359':{'en': 'MobiUZ'},
'998737':{'en': 'MobiUZ'},
'998739':{'en': 'MobiUZ'},
'99874229':{'en': 'MobiUZ'},
'99874250':{'en': 'MobiUZ'},
'99874252':{'en': 'MobiUZ'},
'99874255':{'en': 'MobiUZ'},
'99874257':{'en': 'MobiUZ'},
'99874260':{'en': 'MobiUZ'},
'99874261':{'en': 'MobiUZ'},
'99874262':{'en': 'MobiUZ'},
'99874263':{'en': 'MobiUZ'},
'99874264':{'en': 'MobiUZ'},
'99874265':{'en': 'MobiUZ'},
'99874266':{'en': 'MobiUZ'},
'99874267':{'en': 'MobiUZ'},
'99874271':{'en': 'MobiUZ'},
'99874272':{'en': 'MobiUZ'},
'99874273':{'en': 'MobiUZ'},
'99874274':{'en': 'MobiUZ'},
'99874275':{'en': 'MobiUZ'},
'99874277':{'en': 'MobiUZ'},
'998745':{'en': 'MobiUZ'},
'9987470':{'en': 'MobiUZ'},
'99874710':{'en': 'MobiUZ'},
'99874712':{'en': 'MobiUZ'},
'99874714':{'en': 'MobiUZ'},
'99874715':{'en': 'MobiUZ'},
'99874718':{'en': 'MobiUZ'},
'99874719':{'en': 'MobiUZ'},
'99874720':{'en': 'MobiUZ'},
'99874721':{'en': 'MobiUZ'},
'99874722':{'en': 'MobiUZ'},
'99874727':{'en': 'MobiUZ'},
'99874730':{'en': 'MobiUZ'},
'99874731':{'en': 'MobiUZ'},
'99874733':{'en': 'MobiUZ'},
'99874737':{'en': 'MobiUZ'},
'99874740':{'en': 'MobiUZ'},
'99874747':{'en': 'MobiUZ'},
'99874750':{'en': 'MobiUZ'},
'99874751':{'en': 'MobiUZ'},
'99874760':{'en': 'MobiUZ'},
'99874767':{'en': 'MobiUZ'},
'99874775':{'en': 'MobiUZ'},
'99874776':{'en': 'MobiUZ'},
'99874777':{'en': 'MobiUZ'},
'99874778':{'en': 'MobiUZ'},
'99874779':{'en': 'MobiUZ'},
'99874790':{'en': 'MobiUZ'},
'99874797':{'en': 'MobiUZ'},
'99874799':{'en': 'MobiUZ'},
'998749':{'en': 'MobiUZ'},
'998751':{'en': 'MobiUZ'},
'9987520':{'en': 'MobiUZ'},
'99875222':{'en': 'MobiUZ'},
'99875229':{'en': 'MobiUZ'},
'9987524':{'en': 'MobiUZ'},
'9987529':{'en': 'MobiUZ'},
'998753':{'en': 'MobiUZ'},
'99875526':{'en': 'MobiUZ'},
'99875527':{'en': 'MobiUZ'},
'99875528':{'en': 'MobiUZ'},
'99875529':{'en': 'MobiUZ'},
'998757':{'en': 'MobiUZ'},
'99876221':{'en': 'MobiUZ'},
'99876222':{'en': 'MobiUZ'},
'99876224':{'en': 'MobiUZ'},
'99876225':{'en': 'MobiUZ'},
'9987624':{'en': 'MobiUZ'},
'9987639':{'en': 'MobiUZ'},
'99876411':{'en': 'MobiUZ'},
'99876417':{'en': 'MobiUZ'},
'99876419':{'en': 'MobiUZ'},
'998765':{'en': 'MobiUZ'},
'998767':{'en': 'MobiUZ'},
'99877':{'en': 'Uzbektelecom'},
'99879221':{'en': 'MobiUZ'},
'99879222':{'en': 'MobiUZ'},
'99879228':{'en': 'MobiUZ'},
'998793':{'en': 'MobiUZ'},
'99879570':{'en': 'MobiUZ'},
'99879572':{'en': 'MobiUZ'},
'99879575':{'en': 'MobiUZ'},
'99879576':{'en': 'MobiUZ'},
'99879579':{'en': 'MobiUZ'},
'998797':{'en': 'MobiUZ'},
'9988':{'en': 'MobiUZ'},
'99890':{'en': 'Beeline'},
'99891':{'en': 'Beeline'},
'99892':{'en': 'MobiUZ'},
'99893':{'en': 'Ucell'},
'99894':{'en': 'Ucell'},
'99895':{'en': 'Uzbektelecom'},
'99897':{'en': 'MobiUZ'},
'99898':{'en': 'Perfectum'},
'99899':{'en': 'Uzbektelecom'},
}
| [
37811,
5990,
12,
40290,
1366,
11,
16855,
1123,
21231,
284,
257,
8633,
286,
36693,
25,
3672,
13,
198,
198,
27722,
12,
27568,
2393,
11,
466,
407,
4370,
416,
1021,
13,
198,
37811,
198,
6738,
11485,
22602,
1330,
334,
198,
198,
2,
15069,
... | 1.808679 | 160,552 |
from flask import Flask, g, redirect, request
from app.core import db, jwt, configure_app
from flask_cors import CORS
from app.models import *
from app.helpers.response import response_error
from app.routes import init_routes
from datetime import datetime
import time
import decimal
import flask.json
import logging, logging.config, yaml
app = Flask(__name__)
logging.config.dictConfig(yaml.load(open('logging.conf')))
logfile = logging.getLogger('file')
# add json encoder for decimal type
app.json_encoder = MyJSONEncoder
# disable strict_slashes
app.url_map.strict_slashes = False
# config app
configure_app(app)
# Accept CORS
# CORS(app)
# init db
db.init_app(app)
# init jwt
jwt.init_app(app)
@app.before_request
@app.after_request
init_routes(app)
jwt.unauthorized_loader(jwt_error_handler)
jwt.invalid_token_loader(jwt_error_handler)
jwt.claims_verification_loader(jwt_error_handler)
jwt.token_in_blacklist_loader(jwt_error_handler)
jwt.user_loader_error_loader(jwt_error_handler)
jwt.claims_verification_failed_loader(jwt_error_handler)
jwt.expired_token_loader(expired_token_callback)
jwt.needs_fresh_token_loader(needs_fresh_token_callback)
jwt.revoked_token_loader(revoked_token_callback)
@app.errorhandler(Exception)
# @app.errorhandler(404)
# def error_handler400(err):
# return response_error(err.message);
#
# @app.errorhandler(500)
# def error_handler500(err):
# return response_error(err.message);
#
# @app.error_handler_all(Exception)
# def errorhandler(err):
# return response_error(err.message);
| [
6738,
42903,
1330,
46947,
11,
308,
11,
18941,
11,
2581,
198,
6738,
598,
13,
7295,
1330,
20613,
11,
474,
46569,
11,
17425,
62,
1324,
198,
6738,
42903,
62,
66,
669,
1330,
327,
20673,
198,
6738,
598,
13,
27530,
1330,
1635,
198,
6738,
5... | 2.805455 | 550 |
from vedastr.utils import Registry
COMPONENT = Registry('component')
BODIES = Registry('body')
| [
6738,
410,
276,
459,
81,
13,
26791,
1330,
33432,
198,
198,
9858,
47,
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11537,
198,
33,
3727,
11015,
796,
33432,
10786,
2618,
11537,
198
] | 3.2 | 30 |
#!/usr/bin/env python3
from sqlalchemy_utils import create_database
from sqlalchemy_utils import drop_database
from bot import settings
if __name__ == "__main__":
main()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
18,
198,
6738,
44161,
282,
26599,
62,
26791,
1330,
2251,
62,
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198,
6738,
44161,
282,
26599,
62,
26791,
1330,
4268,
62,
48806,
198,
198,
6738,
10214,
1330,
6460,
628,
198,
198,
361,
11... | 3.122807 | 57 |
#!/usr/bin/env python3
import collections, os, sys
SOURCE_EXTS = set([".cc", ".c", ".h", ".S"])
sizes = collections.defaultdict(CodeSize)
if __name__ == '__main__':
main(sys.argv)
| [
2,
48443,
14629,
14,
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14,
24330,
21015,
18,
198,
198,
11748,
17268,
11,
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11,
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198,
198,
47690,
62,
6369,
4694,
796,
900,
26933,
1911,
535,
1600,
27071,
66,
1600,
27071,
71,
1600,
27071,
50,
8973,
8,
198,
198,
82,
43... | 2.473684 | 76 |
from mapper import BaseMapper
| [
6738,
285,
11463,
1330,
7308,
44,
11463,
198
] | 3.75 | 8 |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from model.GCN import GCN
from model.GCN import VGAE
from torch.autograd import Variable
from torch.distributions.kl import kl_divergence
from torch.distributions import Normal
class VBGE(nn.Module):
"""
VBGE Module layer
"""
class DGCNLayer(nn.Module):
"""
DGCN Module layer
"""
class LastLayer(nn.Module):
"""
DGCN Module layer
"""
def _kld_gauss(self, mu_1, logsigma_1, mu_2, logsigma_2):
"""Using std to compute KLD"""
sigma_1 = torch.exp(0.1 + 0.9 * F.softplus(torch.clamp_max(logsigma_1, 0.4)))
sigma_2 = torch.exp(0.1 + 0.9 * F.softplus(torch.clamp_max(logsigma_2, 0.4)))
q_target = Normal(mu_1, sigma_1)
q_context = Normal(mu_2, sigma_2)
kl = kl_divergence(q_target, q_context).mean(dim=0).sum()
return kl
| [
11748,
299,
32152,
355,
45941,
198,
11748,
28034,
198,
11748,
28034,
13,
20471,
355,
299,
77,
198,
11748,
28034,
13,
20471,
13,
45124,
355,
376,
198,
11748,
10688,
198,
6738,
2746,
13,
15916,
45,
1330,
20145,
45,
198,
6738,
2746,
13,
... | 2.212411 | 419 |
import sys
sys.path.append("../..")
import hoi4.load
import hoi4.unitstats | [
11748,
25064,
201,
198,
17597,
13,
6978,
13,
33295,
7203,
40720,
492,
4943,
201,
198,
201,
198,
11748,
8169,
72,
19,
13,
2220,
201,
198,
11748,
8169,
72,
19,
13,
20850,
34242
] | 2.46875 | 32 |
"""htcanalyze module."""
| [
37811,
4352,
5171,
3400,
2736,
8265,
526,
15931,
198
] | 2.777778 | 9 |
import math as math
import matplotlib.pyplot as plt
import numpy as np
import sys
import torchfile
from matplotlib.ticker import MaxNLocator
if __name__ == '__main__':
fileName = sys.argv[1]
nExamples = 20
data = torchfile.load(fileName)
mean = data[0]
stdv = data[1]
examples = []
for i in range(nExamples):
examples.append(data[1+i+1])
#examples = [data[2], data[3], data[4], data[5], data[6]]
x = np.array(range(1,len(mean[0])+1))
f, axarr = plt.subplots(len(mean))
#f.subplots_adjust(hspace=1.0)
f.tight_layout()
for i in range(len(mean)):
#axarr[i].plot(x, mean[i], color='b')
for j in range(nExamples):
axarr[i].plot(x, examples[j][i], 'r-', alpha=0.3)
axarr[i].set_title('Layer ' + str(i+1))
axarr[i].set_ylim([0,1.1])
axarr[i].xaxis.set_major_locator(MaxNLocator(integer=True))
#axarr[i].set_xlabel('Number of Updates', fontsize=8)
#axarr[i].fill(np.concatenate([x, x[::-1]]), \
# np.concatenate([mean[i] - (1.9600 * stdv[i]/math.sqrt(50)),
# (mean[i] + (1.9600 * stdv[i]/math.sqrt(50)))[::-1]]), \
# alpha=.5, fc='b', ec='None', label='95% confidence interval')
plt.show()
'''
print(len(data))
print(len(data[0]))
data = data[0][layer]
#mean = np.mean(data1)
#std = np.std(data1)
#print mean, std
x = np.array(range(1,len(data)+1))
print(x)
print(data)
plt.plot(x, data, marker='o', color='b')
plt.fill
plt.legend(loc='lower right')
plt.show()
'''
# Plot the function, the prediction and the 95% confidence interval based on
# the MSE
'''
pl.plot(x, f(x), 'r:', label=u'$f(x) = x\,\sin(x)$')
pl.plot(X, y, 'r.', markersize=10, label=u'Observations')
pl.plot(x, y_pred, 'b-', label=u'Prediction')
pl.fill(np.concatenate([x, x[::-1]]), \
np.concatenate([y_pred - 1.9600 * sigma,
(y_pred + 1.9600 * sigma)[::-1]]), \
alpha=.5, fc='b', ec='None', label='95% confidence interval')
pl.xlabel('$x$')
pl.ylabel('$f(x)$')
pl.ylim(-10, 20)
pl.legend(loc='upper left')
pl.show()
'''
| [
11748,
10688,
355,
10688,
198,
11748,
2603,
29487,
8019,
13,
9078,
29487,
355,
458,
83,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
25064,
198,
11748,
28034,
7753,
198,
6738,
2603,
29487,
8019,
13,
83,
15799,
1330,
5436,
32572,
420,
... | 2.01012 | 1,087 |
from enum import Enum
class CharEnum(str, Enum):
"""Enum where members are also (and must be) ints"""
| [
198,
6738,
33829,
1330,
2039,
388,
628,
198,
4871,
3178,
4834,
388,
7,
2536,
11,
2039,
388,
2599,
198,
220,
220,
220,
37227,
4834,
388,
810,
1866,
389,
635,
357,
392,
1276,
307,
8,
493,
82,
37811,
198
] | 2.868421 | 38 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pretend
import pytest
from functools import partial
from celery.schedules import crontab
from warehouse import packaging
from warehouse.accounts.models import Email, User
from warehouse.packaging.interfaces import IFileStorage
from warehouse.packaging.models import File, Project, Release, Role
from warehouse.packaging.tasks import compute_trending
@pytest.mark.parametrize("with_trending", [True, False])
| [
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
921,
743,
7330,
257,
4866,
286,
262,
13789,
379,
198,
2,... | 3.824701 | 251 |
import xml.etree.ElementTree as et
import json
import subprocess
import pathlib
import os
try:
from AtmlReader.AtmlTestResults import AtmlTestResults
except:
from AtmlTestResults import AtmlTestResults
if __name__ == "__main__":
atml_file_path = r'C:\repos\battery-tester\Cycle Test\Battery Cycle Test_Report[3 22 37 PM][2 5 2020].xml'
atml_file = AtmlFile(atml_file_path)
atml_file_string = atml_file.to_json()
with open(r'C:\Users\rfriedma\AppData\Local\Temp\atml_file.json', 'w') as f:
f.write(atml_file_string)
atml_json = json.loads(atml_file_string)
| [
11748,
35555,
13,
316,
631,
13,
20180,
27660,
355,
2123,
201,
198,
11748,
33918,
201,
198,
11748,
850,
14681,
201,
198,
11748,
3108,
8019,
201,
198,
11748,
28686,
201,
198,
201,
198,
28311,
25,
201,
198,
220,
220,
220,
422,
1629,
4029... | 2.366412 | 262 |
from aws_cdk import core, aws_lambda as _lambda, aws_ecr as _ecr
import datetime
| [
6738,
3253,
82,
62,
10210,
74,
1330,
4755,
11,
3253,
82,
62,
50033,
355,
4808,
50033,
11,
3253,
82,
62,
721,
81,
355,
4808,
721,
81,
198,
11748,
4818,
8079,
628,
628
] | 2.625 | 32 |
#!/usr/bin/env python
import os
import shutil
import sys
from setuptools import setup, find_packages
VERSION = '0.0.1'
long_description = """
Fast CPU/CUDA Scattering implementation
CuPy/PyTorch CUDA and NumPy/PyTorch CUDA implementation
"""
setup_info = dict(
# Metadata
name='scatwave',
version=VERSION,
author='Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko',
author_email='edouard.oyallon@ens.fr, eugene.belilovsky@inria.fr, sergey.zagoruyko@enpc.fr',
url='https://github.com/edouardoyallon/pyscatwave',
description='Fast CPU/CUDA Scattering implementation',
long_description=long_description,
license='BSD',
# Package info
packages=find_packages(exclude=('test',)),
zip_safe=True,
install_requires=[
'torch',
'six'
]
)
setup(**setup_info)
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
11748,
28686,
198,
11748,
4423,
346,
198,
11748,
25064,
198,
6738,
900,
37623,
10141,
1330,
9058,
11,
1064,
62,
43789,
198,
198,
43717,
796,
705,
15,
13,
15,
13,
16,
6,
198,
198,
651... | 2.569659 | 323 |
##############################################################################
#
# Copyright (c) 2003-2018 by The University of Queensland
# http://www.uq.edu.au
#
# Primary Business: Queensland, Australia
# Licensed under the Apache License, version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
#
# Development until 2012 by Earth Systems Science Computational Center (ESSCC)
# Development 2012-2013 by School of Earth Sciences
# Development from 2014 by Centre for Geoscience Computing (GeoComp)
#
##############################################################################
from __future__ import print_function, division
__copyright__="""Copyright (c) 2003-2018 by The University of Queensland
http://www.uq.edu.au
Primary Business: Queensland, Australia"""
__license__="""Licensed under the Apache License, version 2.0
http://www.apache.org/licenses/LICENSE-2.0"""
__url__="https://launchpad.net/escript-finley"
"""
test for util operations for unary operations without tagged data
:remark: use see `test_util`
:var __author__: name of author
:var __copyright__: copyrights
:var __license__: licence agreement
:var __url__: url entry point on documentation
:var __version__: version
:var __date__: date of the version
"""
__author__="Lutz Gross, l.gross@uq.edu.au"
import esys.escriptcore.utestselect as unittest
import numpy
import math
import cmath
from esys.escript import *
from test_util_base import Test_util_base
haveLapack = hasFeature('lapack')
class Test_util_unary_no_tagged_data(Test_util_base):
"""
test for unary operations. No tagged data are tested.
"""
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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import os
import xlwt
#by 学波 用于词频统计
workDir = "F:\data3st"
os.chdir(workDir) # 路径
# 多文件录入
SaveData() | [
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119,
253,
164,
106,
94,
198,
1818,
35277,
796,
366,
37,
7479,
7890,
18,
301,
1,
198,
4... | 1.36 | 75 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/12/19 9:27
# @Author : NingAnMe <ninganme@qq.com>
import argparse
from dateutil.relativedelta import relativedelta
import time
from datetime import datetime
import os
import requests
from lib.lib_cimiss import get_cimiss_ssi_ssh_tem_data
from config import DATA_OBS_DIR
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Download CIMISS')
parser.add_argument('--datetime_start', '-s', help='开始时间，YYYYmmddHHMMSS(20190101000000)')
parser.add_argument('--datetime_end', '-e', help='结束时间，YYYYmmddHHMMSS(20190101235959)')
args = parser.parse_args()
if args.datetime_start is not None and args.datetime_end is not None:
datetime_start = datetime.strptime(args.datetime_start, "%Y%m%d%H%M%S")
datetime_end = datetime.strptime(args.datetime_end, "%Y%m%d%H%M%S")
datetime_now = datetime_start
while datetime_now <= datetime_end:
download_cimiss(datetime_now.strftime("%Y%m%d"))
datetime_now += relativedelta(days=1)
else:
download_today()
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
220,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
2488,
7575,
220,
220,
220,
1058,
13130,
14,
1065,
14,
1129,
860,
25,
1983,
198,
2,
2488,
13838,
220,
1058,
... | 2.289528 | 487 |
import json
import requests
from flask import current_app, request, Response, Blueprint
from auth import authenticateApp
# Define blueprint module
sendmessage = Blueprint('sendmessage', __name__, url_prefix='/sendmessage')
# Expose endpoint for testing the mechanism to send a message to Watson Work Services
@sendmessage.route("/", methods=['POST'])
# Construct a message leveraging the Generic Annotation template andd call send method
# Leverage the default title and color values to send a simple message to Watson Work Services
# Call Send Message API to send message to Watson Work Services
| [
11748,
33918,
198,
11748,
7007,
198,
198,
6738,
42903,
1330,
1459,
62,
1324,
11,
2581,
11,
18261,
11,
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198,
198,
6738,
6284,
1330,
8323,
5344,
4677,
198,
198,
2,
2896,
500,
30881,
8265,
198,
21280,
20500,
796,
39932,
10786,
21280,... | 4.314286 | 140 |
#################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021
# by the software owners: The Regents of the University of California, through
# Lawrence Berkeley National Laboratory, National Technology & Engineering
# Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University
# Research Corporation, et al. All rights reserved.
#
# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and
# license information.
#################################################################################
import numpy as np
import math
def split_training_validation(dataframe, training_fraction, seed=None):
"""
Randomly split the dataframe into training and validation data
Args:
dataframe : pandas DataFrame
The dataframe to split
training_fraction : float between 0 < 1
The fraction of the overall dataframe (# rows) to include
as training data. The rest will be returned as validation data
seed : None or int
seed used for the random number generator. Use default behavior
for DataFrame.sample if seed is None
Returns:
tuple : (training_dataframe, validation_dataframe)
"""
return split_dataframe(dataframe, [training_fraction], seed)
def split_training_validation_testing(dataframe, training_fraction, validation_fraction, seed=None):
"""
Randomly split the dataframe into training, validation, and testing data
Args:
dataframe : pandas DataFrame
The dataframe to split
training_fraction : float between 0 < 1
The fraction of the overall dataframe (# rows) to include
as training data.
The sum of training_fraction and validation_fraction must be less than 1
validation_fraction : float between 0 < 1
The fraction of the overall dataframe (# rows) to include
as validation data. The rest will be returned as validation data.
The sum of training_fraction and validation_fraction must be less than 1
seed : None or int
seed used for the random number generator. Use default behavior
for DataFrame.sample if seed is None
Returns:
tuple : (training_dataframe, validation_dataframe, testing_dataframe)
"""
return split_dataframe(dataframe, [training_fraction, validation_fraction], seed)
def split_dataframe(dataframe, fractions, seed=None):
"""
Randomly splits the dataframe into multiple dataframes.
Args:
dataframe: pandas DataFrame
The dataframe to split
fractions: list of floats between 0 < 1
The fraction of the data to include in each dataframe. The list of fractions
must sum to < 1. If fractions has length N, then N+1 dataframes will be returned
where the fraction for the last dataframe is 1-sum(fractions).
seed : None or int
seed for the random number generator. If None, generator is not seeded.
Returns:
tuple : (DataFrame, ...)
"""
assert sum(fractions) < 1.0
# note seed=None is the default value for random_state (e.g., not seeded)
shuffled_df = dataframe.sample(frac=1, random_state=seed).reset_index(drop=True)
dfs = np.split(shuffled_df, [math.floor(f*len(shuffled_df)) for f in np.cumsum(fractions)])
# reset all the indices
for df in dfs:
df.reset_index(drop=True, inplace=True)
return dfs
| [
29113,
29113,
14468,
2,
198,
2,
383,
5136,
329,
262,
8495,
286,
13435,
6682,
11998,
35432,
19193,
198,
2,
25161,
357,
41957,
1546,
6101,
8,
373,
4635,
739,
262,
46984,
5136,
329,
262,
198,
2,
8495,
286,
13435,
6682,
11998,
357,
41957,... | 3.13799 | 1,174 |
from re import findall
from json import loads
import os
from termcolor import colored
# class user:
# def __init__(self):
# pass
# username='Public@Krait: '
# paths='//home/cress/Lucy/bin://home/cress/Lucy/applications'
# #takes:
# #username
# #returns:
# #user location
# def user_search(self,username):
# username=username + '.data'
# user_container=os.getcwd() + '/users/'
# usernames=os.listdir(user_container)
# for file in usernames:
# if(username == file):
# return user_container + username
# return False
# #takes:
# #user location
# #returns:
# #json encoded user info
# def user_load(self,user_location):
# user_location=open(user_location).read()
# user_data=loads(user_location)
# return user_data
# #takes:
# #location of user info
# #returns:
# #boolean representing user's login attempt
# def verify_user(self,mix):
# def failed_login():
# pass
# tries=3
# for attempt in range(tries):
# passw=input('Credentials: ')
# # passw=krypt.nKrypt(passw)
# if(passw==mix): break
# if(attempt==tries-1):
# failed_login()
# return False
# return True
# #takes:
# #user_info
# #void:
# #sets user info
# def set_user(self,user_info):
# self.username=user_info['username']
# self.paths=user_info['paths']
# #takes:
# #username
# #void:
# #sets user data if username exists and correct credentials are provided
# def login(self,username):
# user_location=self.user_search(username)
# if(not user_location): return False
# user_data=self.user_load(user_location)
# verify_user=self.verify_user(user_data['mix'])
# if (not verify_user): return False
# self.set_user(user_data)
# def fork(self,command,sub_commands):
# if(command=='/login'):
# self.login(sub_commands)
# return True
#takes:
#user input
#void:
#recurs command line loop
#takes:
#user input
#returns:
#command and sub commands
#takes:
#command
#returns:
#path to command if found
#False if command is not found
#takes:
#command location
#returns:
#command source code
#takes:
#source code
#void:
#stores source according to memory available and request frequency
#removes existing source according to memory available request frequency
#takes:
#command
#sub command
#void:
#calls exec on command
#takes:
#command
#void:
#executes commands
krait=PyLine()
krait.prompt() | [
6738,
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1330,
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197,
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197,
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197,
197,
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197,
197,
197... | 2.313027 | 1,067 |
'''
Run this to get html files
This file contains code to obtain html data from oslo bors and yahoo finance
'''
import argparse
import re
import threading
import time
from pprint import pprint
from typing import List
import sys
import pathlib
import os
import numpy as np
import pandas as pd
import pypatconsole as ppc
from bs4 import BeautifulSoup as bs
from pandas import DataFrame, to_numeric
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from tqdm import tqdm
import config as cng
import yfinance_hotfix as yf
import utils
def get_osebx_htmlfile(url: str, timeout: int=cng.DEFAULT_TIMEOUT, wait_target_class: str=None,
verbose: int=1, dump: bool=True, file: str=None) -> str:
'''Load OSEBX html files using selenium'''
if verbose >= 1: print(f'Gathering data from {url}')
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument("--headless")
chrome_options.add_argument("--no-sandbox")
chrome_options.add_argument("--disable-dev-shm-usage")
chrome_options.add_argument("--disable-gpu")
driver = webdriver.Chrome(options=chrome_options)
if verbose >= 2: print('Initialized chromedriver')
driver.get(url)
if verbose >= 2: print('Waiting for target HTML class to appear')
# If the webpage dynamically loads the table with the stock information. This code will force the webdriver
# wait until the wanted element is loaded.
if not wait_target_class is None:
try:
WebDriverWait(driver, timeout).until(
EC.presence_of_element_located((By.CLASS_NAME, wait_target_class))
)
except:
print(f'Timeout: Could not load class {wait_target_class} from {url}')
driver.quit()
exit()
if verbose >= 2: print('Element located')
page_src = driver.page_source
driver.quit()
if dump:
if verbose >= 1: print(f'Dumping HTML file: {file}')
dump_assert(file)
with open(file, 'w+') as file:
file.write(page_src)
return page_src
def get_osebx_htmlfiles():
'''Get OSEBX HTML files'''
get_osebx_htmlfile(url=cng.BORS_QUOTES_URL,
wait_target_class=cng.QUOTES_WAIT_TARGET_CLASS,
dump=True,
file=cng.QUOTES_HTML_DATE_FILE,
verbose=2)
get_osebx_htmlfile(url=cng.BORS_RETURNS_URL,
wait_target_class=cng.RETURNS_WAIT_TARGET_CLASS,
dump=True,
file=cng.RETURNS_HTML_DATE_FILE,
verbose=2)
def scrape_osebx_html(quotes: str=None, returns: str=None, verbose: int=0, dump: bool=True,
file: str=None) -> pd.DataFrame:
'''
Scrape stocks from oslo bors HTML files.
HTML of websites of quotes and returns
should be located in same folder this file.
quotes: https://www.oslobors.no/ob_eng/markedsaktivitet/#/list/shares/quotelist/ob/all/all/false
returns: https://www.oslobors.no/ob_eng/markedsaktivitet/#/list/shares/return/ob/all/all/false
'''
if quotes is None:
quotes = cng.QUOTES_HTML_FILE
if returns is None:
returns = cng.RETURNS_HTML_FILE
with open(quotes) as html_source:
soup_quotes = bs(html_source, 'html.parser')
with open(returns) as html_source:
soup_return = bs(html_source, 'html.parser')
# Filter out the stock tables
html_quotes = soup_quotes.find('div', class_="ng-scope").find('ui-view').find('ui-view').find('tbody').find_all('tr')
html_return = soup_return.find('div', class_="ng-scope").find('ui-view').find('ui-view').find('tbody').find_all('tr')
tickers = []
names = []
lasts = []
buys = []
sells = []
tradecounts = []
marketcaps = []
sectors = []
infos = []
profits_today = []
profits_1wk = []
profits_1month = []
profits_ytd = []
profits_1yr = []
# Create lists with features. Only preprocessing for strings are done (values are all strings).
# Further preprocessing will be done later when the values are in a pandas DataFrame.
for quotesrow, returnrow in tqdm(zip(html_quotes, html_return), total=len(html_quotes), disable=verbose):
# Scrape ticker, name, marketcap, sector and info.
tickers.append(quotesrow.a.text)
names.append(quotesrow.find('td', {'data-header':'Navn'}).text)
lasts.append(quotesrow.find('td', {'data-header':'Last'}).text.replace(',', ''))
buys.append(quotesrow.find('td', {'data-header':'Buy'}).text.replace(',', ''))
sells.append(quotesrow.find('td', {'data-header':'Sell'}).text.replace(',', ''))
tradecounts.append(quotesrow.find('td', {'data-header':'No. of trades'}).text.replace(',', ''))
marketcaps.append(quotesrow.find('td', {'data-header':'Market cap (MNOK)'}).text.replace(',', ''))
# Marketcap unit is in millions, multiply by 10e6 to get normal values
sectors.append(quotesrow.find('td', class_='icons').get('title'))
# Info is whether instrument is a Liquidit y provider or not
infos.append('LP' if 'fa-bolt' in quotesrow.find('td', class_='infoIcon').i.get('class') else np.nan)
# Scrape return values
# Values are percentages, and are currently in text form. Divide by 100 to get normal values
profits_today.append(returnrow.find('td', class_='CHANGE_PCT_SLACK').text.replace('%', ''))
profits_1wk.append(returnrow.find('td', class_='CHANGE_1WEEK_PCT_SLACK').text.replace('%', ''))
profits_1month.append(returnrow.find('td', class_='CHANGE_1MONTH_PCT_SLACK').text.replace('%', ''))
profits_ytd.append(returnrow.find('td', class_='CHANGE_YEAR_PCT_SLACK').text.replace('%', ''))
profits_1yr.append(returnrow.find('td', class_='CHANGE_1YEAR_PCT_SLACK').text.replace('%', ''))
if verbose >= 1:
print(f'Ticker: {tickers[-1]}')
print(f'Name: {names[-1]}')
print(f'Last: {lasts[-1]}')
print(f'Buy: {buys[-1]}')
print(f'Sell: {sells[-1]}')
print(f'Cap: {marketcaps[-1]}')
print(f'Sector: {sectors[-1]}')
print(f'Info: {infos[-1]}')
print(f'Profit today: {profits_today[-1]}')
print(f'Profit 1 week: {profits_1wk[-1]}')
print(f'Profit 1 month: {profits_1month[-1]}')
print(f'Profit YTD: {profits_ytd[-1]}')
print(f'Profit 1 year: {profits_1yr[-1]}')
print()
df = DataFrame(dict(
ticker=tickers,
name=names,
sector=sectors,
last_=lasts, # DataFrame.last is a method, hence the underscore
buy=buys,
sell=sells,
tradecount=tradecounts,
info=infos,
marketcap=marketcaps,
profit_today=profits_today,
profit_1wk=profits_1wk,
profit_1month=profits_1month,
profit_ytd=profits_ytd,
profit_1yr=profits_1yr
))
# Turn returns to floats then divide by 100 to convert from percentages to "numbers"
columns_to_num = ['profit_today', 'profit_1wk', 'profit_1month', 'profit_ytd', 'profit_1yr']
df[columns_to_num] = df[columns_to_num].apply(to_numeric, errors='coerce') / 100
# Turn other things to numeric as well
# coerce turns missing or invalid values to nan
df.last_ = to_numeric(df.last_, errors='coerce')
df.buy = to_numeric(df.buy, errors='coerce')
df.sell = to_numeric(df.sell, errors='coerce')
df.tradecount = to_numeric(df.tradecount, errors='coerce')
if dump:
dump_assert(file)
df.to_csv(file, index=False)
return df
def yahoo_querier_(ticker: str, featdict: dict) -> None:
'''
Adds ticker information to dictionary inplace
At the time of writing this code, Yahoo is acting retarded.
For some reason MOWI, NEL etc and whatnot not properly indexed on Yahoo Finance.
The Python scraper should work fine.
'''
ticker_string = ticker.strip()+'.OL'
ticker_string = re.sub('\s+','-',ticker_string)
t = yf.Ticker(ticker_string)
featdict[ticker] = t.info
sys.stdout.write(f'{ticker_string} ')
sys.stdout.flush()
return
def get_yahoo_stats(tickers=None, verbose: int=1, dump: bool=True, file: str=None) -> pd.DataFrame:
'''
Get Yahoo stuff
'''
if tickers is None:
tickers = pd.read_csv(cng.BORS_CSV_DATE_FILE).ticker
featdict = dict()
threads = [threading.Thread(target=yahoo_querier_, args=(ticker, featdict)) for ticker in tickers]
if verbose >= 2: print('Starting threads\n')
utils.run_threads(
threads=threads,
chunksize=20,
start_interval=0.01,
chunk_interval=1)
if verbose >= 2: print('Creating dataframe')
df = pd.DataFrame(featdict).T
df.index.name = 'ticker'
df.reset_index(inplace=True)
if dump:
if verbose >= 2: print('Dumping DataFrame')
dump_assert(file)
df.to_csv(file, index=False)
if verbose >= 2: print('Returning dataframe')
return df
def combine_osebx_yahoo(df_osebx: pd.DataFrame=None, df_yahoo: pd.DataFrame=None):
'''
Combine OSEBX and Yahoo datasets
'''
if df_osebx is None:
df_osebx = pd.read_csv(cng.BORS_CSV_DATE_FILE)
if df_yahoo is None:
df_yahoo = pd.read_csv(cng.YAHOO_CSV_DATE_FILE)
df_combined = pd.merge(df_osebx, df_yahoo, on=cng.MERGE_DFS_ON, suffixes=('_osebx', '_yahoo'))
df_combined.set_index(cng.MERGE_DFS_ON, inplace=True)
df_combined.to_csv(cng.DATASET_DATE_FILE)
def run_datapipeline():
'''
Run whole datapipeline
'''
make_dirs()
get_osebx_htmlfiles()
df_osebx = scrape_osebx_html(quotes=cng.QUOTES_HTML_DATE_FILE,
returns=cng.RETURNS_HTML_DATE_FILE,
verbose=2,
dump=True,
file=cng.BORS_CSV_DATE_FILE)
tickers = df_osebx.ticker
df_yahoo = get_yahoo_stats(tickers=tickers,
verbose=2,
dump=True,
file=cng.YAHOO_CSV_DATE_FILE)
combine_osebx_yahoo()
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--interactive', help='Run in interactive mode', action='store_true')
args = parser.parse_args()
if args.interactive:
ppc.menu([
get_osebx_htmlfiles,
scrape_osebx_html,
get_yahoo_stats,
run_datapipeline,
], main=True, blank_proceedure='pass')
else:
run_datapipeline()
| [
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6,
198,
10987,
428,
284,
651,
27711,
3696,
198,
198,
1212,
2393,
4909,
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284,
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27711,
1366,
422,
28686,
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290,
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6,
198,
11748,
1822,
29572,
198,
11748,
302,
198,
11748,
4704,
27... | 2.204941 | 4,938 |
from SQLActivitySample import SQLActivitySample
from Utilities import check_working_directory
import argparse
if __name__ == '__main__':
check_working_directory()
parser = argparse.ArgumentParser(description='Teardown for SQLAcivityPipeline pipeline sample')
parser.add_argument('--rds-instance-id', action="store", dest="rds_instance_id")
args = parser.parse_args()
sample = SQLActivitySample()
if args.rds_instance_id is not None:
sample.destroy_rds(args.rds_instance_id)
| [
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705,
834,
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834,
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198,
220,
220,
220,
2198,
62,
16... | 3.065868 | 167 |
import torch
from models.vgg import VGG
from models.resnet import resnet
from models.wide import wide_resnet
def stablize_bn(net, trainloader, device='cuda'):
"""Iterate over the dataset for stabilizing the
BatchNorm statistics.
"""
net = net.train()
for batch, (inputs, _) in enumerate(trainloader):
inputs = inputs.to(device)
net(inputs) | [
11748,
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628,
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198,
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8303,
75,
1096,
62,
9374,
7,
3262,
11,
4512,
... | 2.73913 | 138 |
import json
import logging
import eel
from rf2settings.app_settings import AppSettings
from rf2settings.rf2command import CommandQueue, Command
from rf2settings.rf2connect import RfactorState
@eel.expose
@eel.expose
| [
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1330,
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374,
... | 3.140845 | 71 |
from django.apps import AppConfig as BaseConfig
| [
6738,
42625,
14208,
13,
18211,
1330,
2034,
16934,
355,
7308,
16934,
628
] | 4.083333 | 12 |
# coding: utf-8
from sqlalchemy import Boolean, Column, DateTime, Float, String
from sqlalchemy.dialects.postgresql.base import UUID
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
| [
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82,
13,
7353,
34239,
13976,
13,
8692,
1330,
471,
27586,
198,
6... | 3.180328 | 61 |
from .pycaffe import SolverParameter, NetParameter, NetState, Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, AdaDeltaSolver, AdamSolver, NCCL, Timer
from ._caffe import init_log, log, set_mode_cpu, set_mode_gpu, set_device, Layer, set_devices, select_device, enumerate_devices, Layer, get_solver, get_solver_from_file, layer_type_list, set_random_seed, solver_count, set_solver_count, solver_rank, set_solver_rank, set_multiprocess, has_nccl
from ._caffe import __version__
from .proto.caffe_pb2 import TRAIN, TEST
from .classifier import Classifier
from .detector import Detector
from . import io
from .net_spec import layers, params, NetSpec, to_proto
from .net_gen import metalayers, fix_input_dims | [
6738,
764,
9078,
66,
21223,
1330,
4294,
332,
36301,
11,
3433,
36301,
11,
3433,
9012,
11,
3433,
11,
26147,
5258,
14375,
11,
399,
7834,
709,
50,
14375,
11,
47395,
42731,
50,
14375,
11,
29820,
4303,
1773,
50,
14375,
11,
47395,
42430,
50,... | 2.970954 | 241 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from bson.objectid import ObjectId
from pymongo import MongoClient
from validate_email import validate_email
from views.base import base
import config
import hashlib
| [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
6738,
275,
1559,
13,
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9515,
7390,
198,
6738,
279,
4948,
25162,
1330,
42591,
11792,
198,
6738,
26571,
6... | 3.126761 | 71 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Send input commands to the BTree test app.
ins X
rem X
(etc)
"""
import random
random.seed()
# Simple rotations
# Double rotations
# Simple rotations with weights
# Double rotations with weights
if __name__ == '__main__': main1()
# end. | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
2,
532,
9,
12,
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25,
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69,
12,
23,
532,
9,
12,
198,
198,
37811,
25206,
5128,
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262,
22205,
631,
1332,
598,
13,
198,
198,
1040,
1395,
198,
2787,
1395,
198,
7,
14... | 2.759259 | 108 |
from tree import Tree;
from tree import deb
import datetime
from fileDB import FileDB
import random;
# A collection of tasks
# Instances of this class should be able to add a task
# to the collection, delete it, update it and provide a list or a subset of
# collection for display
# create a tree obj based on the input prop and val and insert
# create a tasks object from a dictionary
# we expect the dictionary to be in a certain way.
# Need some checks in place to make sure that is obeyed
# read from json file.
# create an object dictionary
# similar to a serialization operation
#update a task
# this routine updates the task and all associated subtasks
# with the provided properties
# is completed
#t = Tasks()
#t.addTask(10,0,{})
#t.addTask(11,10,{})
#t.updateTask(taskId = 10, prop={'test':1})
#print t.createDict()
#t.archiveTask(10)
#print t.createDict()
| [
6738,
5509,
1330,
12200,
26,
220,
198,
6738,
5509,
1330,
1915,
198,
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4818,
8079,
198,
6738,
2393,
11012,
1330,
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198,
2,
317,
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286,
8861,
220,
198,
2,
2262,
1817,
286,
428,
1398,
815,
... | 3.058252 | 309 |
from resolwe.process import *
class PythonProcessJson(Process):
"""This is a process description."""
slug = 'test-python-process-json'
name = "Python Process that uses JSON field"
process_type = 'data:python'
version = '0.1.2'
requirements = {
'executor': {
'docker': {
'image': 'resolwe/base:ubuntu-18.04',
}
}
}
class Input:
"""Input fields."""
data = DataField('test', label="My input data")
data2 = DataField('test', label="My second non-required input data", required=False)
| [
6738,
581,
349,
732,
13,
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1330,
1635,
628,
198,
4871,
11361,
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41,
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198,
220,
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220,
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318,
257,
1429,
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526,
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198,
220,
220,
220,
31065,
796,
705,
9288,
12,
29412,
12,
14681,
... | 2.361111 | 252 |
# Copyright 2015 IBM Corp. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
import copy
import base64
import sys
import os
import requests
from flask import Flask, jsonify, abort, render_template
from flask import request
from Crypto.Cipher import AES
import json
app = Flask(__name__)
route_secrets = '/api/v2/secrets'
authorization_header_field = 'Authorization'
space_header_field = 'Bluemix-Space'
org_header_field = 'Bluemix-Org'
secret_mime_type = 'application/vnd.ibm.kms.secret+json'
aes_algorithm_type = 'AES'
@app.route('/')
@app.route('/unauthorized')
@app.route('/messages', methods=['POST'])
@app.route('/keys', methods=['GET'])
def get_key_ids():
'''Get the secret references for the IV and KEY we'll need
This gets the shared IV ad KEY from the encryption_keys.json file and uses that to generate the secrets in
Key Protect.
:return: Reference for IV and KEY that we generate
'''
url, headers = setup()
print('\n\nPost Secrets', file=sys.stderr)
print('\nUrl: '+url, file=sys.stderr)
key, iv = getKeyAndIV()
post_request_body_template = {
'metadata': {
'collectionType': 'application/vnd.ibm.kms.secret+json',
'collectionTotal': 1
},
'resources': []
}
try:
encoded_iv = base64.b16encode(iv)
print('\n\nPost IV Secret', file=sys.stderr)
iv_secret = {
'name': 'IV for sample message',
'type': secret_mime_type,
'algorithmType': aes_algorithm_type,
'payload': encoded_iv
}
iv_post_request_body = copy.deepcopy(post_request_body_template)
iv_post_request_body['resources'].append(iv_secret)
print('\nRequest Body: '+str(iv_post_request_body), file=sys.stderr)
post_iv_request = requests.post(url, headers=headers,
json=iv_post_request_body)
post_iv_status = post_iv_request.status_code
post_iv_headers = post_iv_request.headers
print('\nResponse Status Code: '+str(post_iv_status), file=sys.stderr)
response_iv = post_iv_request.json()
print('\nResponse Body: '+str(response_iv), file=sys.stderr)
print('\nCorrelation-Id: '+post_iv_headers["Correlation-Id"],
file=sys.stderr)
if post_iv_status >= 400:
raise Exception(post_iv_status, response_iv)
iv_id = response_iv['resources'][0]['id']
print('\nIv Id: '+iv_id, file=sys.stderr)
except requests.exceptions.RequestException as e:
print('\n\nError: '+str(e), file=sys.stderr)
err_msg = 'cannot post iv. Check auth.json file'
response = jsonify(message=err_msg)
response.status_code = 500
return response
except Exception as e:
print('\n\nError: '+str(e), file=sys.stderr)
response = jsonify(message=e.message)
response.status_code = 500
return response
try:
print('\n\nPost Key Secret', file=sys.stderr)
key_secret = {
'name': 'Key for sample message',
'type': secret_mime_type,
'algorithmType': aes_algorithm_type,
'payload': key
}
key_post_request_body = copy.deepcopy(post_request_body_template)
key_post_request_body['resources'].append(key_secret)
print('\nRequest Body: '+str(key_post_request_body), file=sys.stderr)
post_key_request = requests.post(url, headers=headers,
json=key_post_request_body)
post_key_status = post_key_request.status_code
post_key_headers = post_key_request.headers
print('\nResponse Status Code: '+str(post_key_status), file=sys.stderr)
response_key = post_key_request.json()
print('\nResponse Body: '+str(response_key), file=sys.stderr)
print('\nCorrelation-Id: '+post_key_headers['Correlation-Id'],
file=sys.stderr)
if post_key_status >= 400:
raise Exception(post_key_status, response_key)
key_id = response_key['resources'][0]['id']
print('\nKey Id: '+key_id, file=sys.stderr)
except requests.exceptions.RequestException as e:
print('\n\nError: '+str(e), file=sys.stderr)
err_msg = 'cannot post key. Check auth.json file'
response = jsonify(message=err_msg)
response.status_code = 500
return response
except Exception as e:
print('\n\nError: '+str(e), file=sys.stderr)
response = jsonify(message=e.message)
response.status_code = 500
return response
return json.dumps({
'message': 'POST the key_info object to /messages',
'key_info': {'iv': iv_id, 'key': key_id}
})
@app.errorhandler(401)
if __name__ == '__main__':
main()
| [
2,
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19764,
11421,
13,
1439,
6923,
33876,
13,
198,
2,
198,
2,
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739,
262,
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11,
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362,
13,
15,
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198,
2,
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743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
... | 2.365072 | 2,279 |
import dbus
import time
import subprocess
bus = dbus.SessionBus()
dest = 'org.ffado.Control'
mixer_object = '/org/ffado/Control/DeviceManager/001486089d5fa7e6/Mixer'
discrete_interface='org.ffado.Control.Element.Discrete'
continuous_interface='org.ffado.Control.Element.Continuous'
mixer_interface='org.ffado.Control.Element.MatrixMixer'
try:
dbus.Interface(bus.get_object(dest, "%s/MonitorMute" % mixer_object),
dbus_interface=mixer_interface)
except dbus.DBusException, ex:
subprocess.Popen(['ffado-dbus-server', '-v3']).pid
time.sleep(2)
monitor_mute = dbus.Interface(
bus.get_object(dest, "%s/MonitorMute" % mixer_object),
dbus_interface=mixer_interface)
monitor_pan = dbus.Interface(
bus.get_object(dest, "%s/MonitorPan" % mixer_object),
dbus_interface=mixer_interface)
outputs = [];
for o in range(12):
output = {}
output['mute'] = dbus.Interface(
bus.get_object(dest, "%s/OUT%dMute" % (mixer_object, o)),
dbus_interface=discrete_interface)
output['gain'] = dbus.Interface(
bus.get_object(dest, "%s/OUT%dGain" % (mixer_object, o)),
dbus_interface=continuous_interface)
outputs.append(output)
| [
11748,
288,
10885,
198,
11748,
640,
198,
11748,
850,
14681,
198,
198,
10885,
796,
288,
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13,
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198,
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705,
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13,
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6,
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19816,
263,
62,
15252,
796,
31051,
2398,
14,
487,
4533... | 2.431727 | 498 |
#!venv/bin/python
import re
import os
import sys
SUBS = [
('AsyncIteratorByteStream', 'IteratorByteStream'),
('AsyncIterator', 'Iterator'),
('AutoBackend', 'SyncBackend'),
('Async([A-Z][A-Za-z0-9_]*)', r'Sync\2'),
('async def', 'def'),
('async with', 'with'),
('async for', 'for'),
('await ', ''),
('arequest', 'request'),
('aclose', 'close'),
('aclose_func', 'close_func'),
('aiterator', 'iterator'),
('__aenter__', '__enter__'),
('__aexit__', '__exit__'),
('__aiter__', '__iter__'),
('@pytest.mark.anyio', ''),
('@pytest.mark.trio', ''),
(r'@pytest.fixture\(params=\["auto", "anyio"\]\)',
'@pytest.fixture(params=["sync"])'),
('lookup_async_backend', "lookup_sync_backend"),
('auto', 'sync'),
]
COMPILED_SUBS = [
(re.compile(r'(^|\b)' + regex + r'($|\b)'), repl)
for regex, repl in SUBS
]
if __name__ == '__main__':
main()
| [
2,
0,
574,
85,
14,
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14,
29412,
198,
11748,
302,
198,
11748,
28686,
198,
11748,
25064,
198,
198,
12564,
4462,
796,
685,
198,
220,
220,
220,
19203,
42367,
37787,
40778,
12124,
3256,
705,
37787,
40778,
12124,
33809,
198,
220,
220,
2... | 2.193396 | 424 |
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Utilities for preprocessing TriviaQA data."""
import bisect
import json
import operator
import os
import re
import string
from typing import Any, Dict, Generator, List, Optional, Set, Text, Tuple
from absl import logging
import apache_beam as beam
from apache_beam import metrics
import dataclasses
import nltk
import numpy as np
import tensorflow.io.gfile as gfile
import sentencepiece as spm
from official.projects.triviaqa import evaluation
from official.projects.triviaqa import sentencepiece_pb2
@dataclasses.dataclass
@dataclasses.dataclass
@dataclasses.dataclass
@dataclasses.dataclass
@dataclasses.dataclass
@dataclasses.dataclass
@dataclasses.dataclass
@dataclasses.dataclass
@dataclasses.dataclass
def make_paragraph(
sentence_tokenizer: nltk.tokenize.api.TokenizerI,
processor: spm.SentencePieceProcessor,
text: Text,
paragraph_metric: Optional[metrics.Metrics.DelegatingDistribution] = None,
sentence_metric: Optional[metrics.Metrics.DelegatingDistribution] = None
) -> Paragraph:
"""Tokenizes paragraphs."""
paragraph_size = 0
sentences = []
for sentence in sentence_tokenizer.tokenize(text):
sentencepiece_text = sentencepiece_pb2.SentencePieceText.FromString(
processor.EncodeAsSerializedProto(sentence))
paragraph_size += len(sentencepiece_text.pieces)
sentences.append(sentencepiece_text)
if sentence_metric:
sentence_metric.update(len(sentencepiece_text.pieces))
if paragraph_metric:
paragraph_metric.update(paragraph_size)
return Paragraph(sentences=sentences, size=paragraph_size)
def read_question_answers(json_path: Text) -> List[QuestionAnswer]:
"""Read question answers."""
with gfile.GFile(json_path) as f:
data = json.load(f)['Data']
question_answers = []
for datum in data:
question = Question(id=datum['QuestionId'], value=datum['Question'])
if 'Answer' in datum:
answer = Answer(
value=datum['Answer']['Value'],
aliases=datum['Answer']['Aliases'],
normalized_aliases=datum['Answer']['NormalizedAliases'])
else:
answer = None
evidence_info = []
for key in ['EntityPages', 'SearchResults']:
for document in datum.get(key, []):
evidence_info.append(
EvidenceInfo(
id=document['Filename'], title=document['Title'], source=key))
question_answers.append(
QuestionAnswer(
question=question, evidence_info=evidence_info, answer=answer))
return question_answers
def make_answer_set(answer: Answer) -> Set[Text]:
"""Apply less aggressive normalization to the answer aliases."""
answers = []
for alias in [answer.value] + answer.aliases:
answers.append(alias_answer(alias))
answers.append(alias_answer(alias, [',', '.']))
answers.append(alias_answer(alias, ['-']))
answers.append(alias_answer(alias, [',', '.', '-']))
answers.append(alias_answer(alias, string.punctuation))
return set(answers + answer.normalized_aliases)
def find_answer_spans(text: bytes, answer_set: Set[Text]) -> List[AnswerSpan]:
"""Find answer spans."""
spans = []
for answer in answer_set:
answer_regex = re.compile(
re.escape(answer).encode('utf-8').replace(b'\\ ', b'[ -]'),
flags=re.IGNORECASE)
for match in re.finditer(answer_regex, text):
spans.append(
AnswerSpan(
begin=match.start(),
end=match.end(),
text=match.group(0).decode('utf-8')))
return sorted(spans, key=operator.attrgetter('begin'))
def realign_answer_span(features: Features, answer_set: Optional[Set[Text]],
processor: spm.SentencePieceProcessor,
span: AnswerSpan) -> Optional[AnswerSpan]:
"""Align answer span to text with given tokens."""
i = bisect.bisect_left(features.token_offsets, span.begin)
if i == len(features.token_offsets) or span.begin < features.token_offsets[i]:
i -= 1
j = i + 1
answer_end = span.begin + len(span.text.encode('utf-8'))
while (j < len(features.token_offsets) and
features.token_offsets[j] < answer_end):
j += 1
j -= 1
sp_answer = (
features.context[features.token_offsets[i]:features.token_offsets[j + 1]]
if j + 1 < len(features.token_offsets) else
features.context[features.token_offsets[i]:])
if (processor.IdToPiece(features.token_ids[i]).startswith('▁') and
features.token_offsets[i] > 0):
sp_answer = sp_answer[1:]
sp_answer = evaluation.normalize_answer(sp_answer.decode('utf-8'))
if answer_set is not None and sp_answer not in answer_set:
# No need to warn if the cause was breaking word boundaries.
if len(sp_answer) and not len(sp_answer) > len(
evaluation.normalize_answer(span.text)):
logging.warning('%s: "%s" not in %s.', features.question_id, sp_answer,
answer_set)
return None
return AnswerSpan(begin=i, end=j, text=span.text)
class ReadEvidence(beam.DoFn):
"""Function to read evidence."""
_CLS_PIECE = '<ans>'
_EOS_PIECE = '</s>'
_SEP_PIECE = '<sep_0>'
# _PARAGRAPH_SEP_PIECE = '<sep_1>'
_NULL_PIECE = '<empty>'
_QUESTION_PIECE = '<unused_34>'
class MakeFeatures(beam.DoFn):
"""Function to make features."""
def _handle_exceptional_examples(
features: Features,
processor: spm.SentencePieceProcessor) -> List[AnswerSpan]:
"""Special cases in data."""
if features.id == 'qw_6687--Viola.txt':
pattern = 'three strings in common—G, D, and A'.encode('utf-8')
i = features.context.find(pattern)
if i != -1:
span = AnswerSpan(i + len(pattern) - 1, i + len(pattern), 'A')
span = realign_answer_span(features, None, processor, span)
assert span is not None, 'Span should exist.'
return [span]
if features.id == 'sfq_26183--Vitamin_A.txt':
pattern = ('Vitamin A is a group of unsaturated nutritional organic '
'compounds that includes retinol').encode('utf-8')
i = features.context.find(pattern)
if i != -1:
span = AnswerSpan(i + pattern.find(b'A'), i + pattern.find(b'A') + 1, 'A')
span = realign_answer_span(features, None, processor, span)
assert span is not None, 'Span should exist.'
spans = [span]
span = AnswerSpan(i, i + pattern.find(b'A') + 1, 'Vitamin A')
span = realign_answer_span(features, None, processor, span)
return spans + [span]
if features.id == 'odql_292--Colombia.txt':
pattern = b'Colombia is the third-most populous country in Latin America'
i = features.context.find(pattern)
if i != -1:
span = AnswerSpan(i, i + len(b'Colombia'), 'Colombia')
span = realign_answer_span(features, None, processor, span)
assert span is not None, 'Span should exist.'
return [span]
if features.id == 'tc_1648--Vietnam.txt':
pattern = 'Bảo Đại'.encode('utf-8')
i = features.context.find(pattern)
if i != -1:
span = AnswerSpan(i, i + len(pattern), 'Bảo Đại')
span = realign_answer_span(features, None, processor, span)
assert span is not None, 'Span should exist.'
return [span]
if features.id == 'sfq_22225--Irish_mythology.txt':
pattern = 'Tír na nÓg'.encode('utf-8')
spans = []
i = 0
while features.context.find(pattern, i) != -1:
i = features.context.find(pattern)
span = AnswerSpan(i, i + len(pattern), 'Tír na nÓg')
span = realign_answer_span(features, None, processor, span)
assert span is not None, 'Span should exist.'
spans.append(span)
i += len(pattern)
return spans
return []
class FindAnswerSpans(beam.DoFn):
"""Find answer spans in document."""
def make_example(
features: Features,
labels: Optional[List[AnswerSpan]] = None) -> Tuple[Text, Dict[Text, Any]]:
"""Make an example."""
feature = {
'id': features.id,
'qid': features.question_id,
'question': features.question,
'context': features.context,
'token_ids': features.token_ids,
'token_offsets': features.token_offsets,
'segment_ids': features.segment_ids,
'global_token_ids': features.global_token_ids,
}
if labels:
answers = set((label.begin, label.end) for label in labels)
feature['answers'] = np.array([list(answer) for answer in answers],
np.int64)
else:
feature['answers'] = np.zeros([0, 2], np.int64)
metrics.Metrics.counter('_', 'examples').inc()
return f'{features.id}--{features.stride_index}', feature
def make_pipeline(root: beam.Pipeline, question_answers: List[QuestionAnswer],
answer: bool, max_num_tokens: int, max_num_global_tokens: int,
stride: int, sentencepiece_model_path: Text,
wikipedia_dir: Text, web_dir: Text):
"""Makes a Beam pipeline."""
question_answers = (
root | 'CreateQuestionAnswers' >> beam.Create(question_answers))
features = (
question_answers
| 'ReadEvidence' >> beam.ParDo(
ReadEvidence(wikipedia_dir=wikipedia_dir, web_dir=web_dir))
| 'MakeFeatures' >> beam.ParDo(
MakeFeatures(
sentencepiece_model_path=sentencepiece_model_path,
max_num_tokens=max_num_tokens,
max_num_global_tokens=max_num_global_tokens,
stride=stride)))
if answer:
features = features | 'KeyFeature' >> beam.Map(
lambda feature: (feature.question_id, feature))
# pylint: disable=g-long-lambda
answer_sets = (
question_answers
| 'MakeAnswerSet' >>
beam.Map(lambda qa: (qa.question.id, make_answer_set(qa.answer))))
# pylint: enable=g-long-lambda
examples = (
features
| beam.GroupByKey()
| 'FindAnswerSpans' >> beam.ParDo(
FindAnswerSpans(sentencepiece_model_path),
answer_sets=beam.pvalue.AsDict(answer_sets))
| 'MakeExamplesWithLabels' >> beam.MapTuple(make_example))
else:
examples = features | 'MakeExamples' >> beam.Map(make_example)
return examples
| [
2,
15069,
33448,
383,
309,
22854,
37535,
46665,
13,
1439,
6923,
33876,
13,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,... | 2.529943 | 4,208 |
import numpy as np
from ar_track_alvar_msgs.msg import AlvarMarkers
from std_msgs.msg import Float64MultiArray,Float64
import rospy
import math
import kinematics as kin
import ArmController as ac
import transforms3d as tf
# def get_point(self,tag):
# try:
# rospy.loginfo(len(tag.markers))
# if len(tag.markers) ==2:
# # rospy.loginfo("GOT IT")
# self.p = []
# for marker in tag.markers:
# ar_position_obj = marker.pose.pose.position
# p = np.array([ar_position_obj.x,ar_position_obj.y,ar_position_obj.z,1])
# self.p.append(p)
# # if marker.id == 2:
# # self.p1 = np.array([ar_position_obj.x,ar_position_obj.y,ar_position_obj.z,1])
# # elif marker.id == 4:
# # self.p2 = np.array([ar_position_obj.x,ar_position_obj.y,ar_position_obj.z,1])
# # rospy.loginfo(ar_position_obj)
# # self.position_camera = np.array([ar_position_obj.x,ar_position_obj.y,ar_position_obj.z,1])
# # self.position_camera = np.array([ar_position_obj.z,-ar_position_obj.x,ar_position_obj.y,1])
# except:
# # rospy.loginfo("No detection")
# pass
# # self.position_camera = np.array([0,0,0,0])
# # self.set_point()
if __name__ =="__main__":
rospy.init_node('marker_publisher', anonymous=True)
estimator = tag_estimator()
arm_controller = ac.ArmController()
tilt_controller = ac.CamController('/tilt/state','/tilt/command')
pan_controller = ac.CamController('/pan/state','/pan/command')
rospy.sleep(1)
pan_controller.set_cam_state(np.deg2rad(0))
while(not pan_controller.has_converged()):
pass
tilt_controller.set_cam_state(np.deg2rad(-40))
while(not tilt_controller.has_converged()):
pass
rospy.sleep(3)
target_joints = []
H_c2w = kin.cam_to_world(estimator.pan,estimator.tilt)
rospy.loginfo(len(estimator.p))
if len(estimator.p) == 1:
pw = [np.dot(H_c2w,p) for p in estimator.p]
print(pw,"point1")
destination = make_destination(np.array([0.30,0.13,0]),levels=2)
pos_list = []
rospy.loginfo(destination)
for s,d in zip(pw,destination):
# rospy.loginfo(make_trajectory(s,d))
pos_list.extend(make_trajectory(s,d))
rospy.loginfo(pos_list)
else:
pos_list = []
# rospy.loginfo(estimator.position_camera)
# pos_list = [point1[:3]+np.array([0,0,0.05]),point1[:3],point1[:3]+np.array([0,0,0.05]),point2[:3]+np.array([0,0,0.05]),point2[:3]+np.array([0,0,0.02]),point2[:3]+np.array([0,0,0.05])]
grip = [False,True,True,True,False,False] * len(pw)
yaw = [0]*12 + [0]*3 + [np.pi/2]*3 + [0]*3 + [np.pi/2]*3
rospy.loginfo(pos_list)
for pos,y in zip(pos_list,yaw):
q = kin.inverse_kinematics(pos,y)
print(kin.forward_kinematics(q)[0]["joint_4"])
if q!=None:
target_joints.append(q)
else:
print("No solution")
exit()
arm_controller.home_arm()
arm_controller.open()
for joint,g in zip(target_joints,grip):
arm_controller.set_joint_state(joint)
while(not arm_controller.has_converged()):
pass
if g == True:
arm_controller.close()
else:
arm_controller.open()
# arm_controller.close()
rospy.sleep(0.5)
arm_controller.home_arm()
| [
11748,
299,
32152,
355,
45941,
198,
6738,
610,
62,
11659,
62,
282,
7785,
62,
907,
14542,
13,
19662,
1330,
978,
7785,
9704,
364,
198,
6738,
14367,
62,
907,
14542,
13,
19662,
1330,
48436,
2414,
29800,
19182,
11,
43879,
2414,
198,
11748,
... | 1.949945 | 1,818 |
from greentastic.compute_scores import compute_score
| [
6738,
10536,
298,
3477,
13,
5589,
1133,
62,
1416,
2850,
1330,
24061,
62,
26675,
198
] | 3.533333 | 15 |
from torchvision.datasets.utils import download_url, check_integrity
import torch.utils.data as data
from PIL import Image
import os
from glob import glob
import os.path
import errno
import numpy as np
import sys
if sys.version_info[0] == 2:
import pickle as pickle
else:
import pickle
| [
198,
6738,
28034,
10178,
13,
19608,
292,
1039,
13,
26791,
1330,
4321,
62,
6371,
11,
2198,
62,
18908,
10138,
198,
11748,
28034,
13,
26791,
13,
7890,
355,
1366,
198,
6738,
350,
4146,
1330,
7412,
198,
11748,
28686,
198,
6738,
15095,
1330,
... | 3.148936 | 94 |
import copy
from typing import Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...gpu import Device
from ...models.builders import create_discrete_q_function
from ...models.encoders import EncoderFactory
from ...models.optimizers import OptimizerFactory
from ...models.q_functions import QFunctionFactory
from ...models.torch import EnsembleDiscreteQFunction, EnsembleQFunction
from ...preprocessing import RewardScaler, Scaler
from ...torch_utility import TorchMiniBatch, hard_sync, torch_api, train_api
from .base import TorchImplBase
from .utility import DiscreteQFunctionMixin
| [
11748,
4866,
198,
6738,
19720,
1330,
32233,
11,
45835,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
28034,
198,
6738,
28034,
13,
40085,
1330,
30011,
7509,
198,
198,
6738,
2644,
46999,
1330,
16232,
198,
6738,
2644,
27530,
13,
50034... | 3.846626 | 163 |
<caret>if await get_value():
print("Not none")
else:
print("None") | [
198,
27,
6651,
83,
29,
361,
25507,
651,
62,
8367,
33529,
198,
220,
220,
220,
3601,
7203,
3673,
4844,
4943,
198,
17772,
25,
198,
220,
220,
220,
3601,
7203,
14202,
4943
] | 2.419355 | 31 |
username = 'Tyler85'
password = 'surfing29'
userInput = input("What is your username?\n (Hint: Tyler85):")
if userInput == username:
a=input("Password?\n (Hint: surfing29)")
if a == password:
print("Welcome Tyler!")
else:
print("Wrong password.")
else:
print("Wrong username.") | [
29460,
796,
705,
46807,
5332,
6,
198,
198,
28712,
796,
705,
11793,
28825,
1959,
6,
198,
198,
7220,
20560,
796,
5128,
7203,
2061,
318,
534,
20579,
30,
59,
77,
357,
39,
600,
25,
14886,
5332,
2599,
4943,
198,
198,
361,
2836,
20560,
662... | 2.540323 | 124 |
# Copyright 2018 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
from copy import deepcopy
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
import requests
from ..model import ModelObj, ObjectDict
from ..utils import create_class
_task_state_fields = [
"kind",
"class_name",
"class_args",
"handler",
"skip_context",
"next",
"resource",
"comment",
"end",
]
http_adapter = HTTPAdapter(
max_retries=Retry(total=3, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
)
class RemoteHttpHandler:
"""class for calling remote endpoints"""
def get_class(class_name, namespace):
"""return class object from class name string"""
if isinstance(class_name, type):
return class_name
if class_name in namespace:
class_object = namespace[class_name]
return class_object
try:
class_object = create_class(class_name)
except (ImportError, ValueError) as e:
raise ImportError(f"state init failed, class {class_name} not found, {e}")
return class_object
classes_map = {
"task": ServingTaskState,
"router": ServingRouterState,
"flow": ServingFlowState,
}
| [
2,
15069,
2864,
314,
5162,
1031,
952,
198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
921,
... | 3.015571 | 578 |
import inspect
from concurrent.futures import ThreadPoolExecutor
from functools import wraps
from asgiref.sync import sync_to_async as _sync_to_async
thread_pool = ThreadPoolExecutor()
# Async generator wrapper from https://github.com/django/asgiref/issues/142
iter_async = sync_to_async(iter, thread_sensitive=False)
next_async = sync_to_async(_next, thread_sensitive=False)
| [
11748,
10104,
198,
6738,
24580,
13,
69,
315,
942,
1330,
14122,
27201,
23002,
38409,
198,
6738,
1257,
310,
10141,
1330,
27521,
198,
198,
6738,
355,
70,
557,
69,
13,
27261,
1330,
17510,
62,
1462,
62,
292,
13361,
355,
4808,
27261,
62,
14... | 3.023438 | 128 |
"""A setuptools based setup module.
See:
https://packaging.python.org/guides/distributing-packages-using-setuptools/
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
import pathlib
here = pathlib.Path(__file__).parent.resolve()
# Get the long description from the README file
long_description = open('README.md').read()
# Arguments marked as "Required" below must be included for upload to PyPI.
# Fields marked as "Optional" may be commented out.
setup(
name='pysvap', # Required
version='1.0.1',
description='A python library for image Manipulation which implements different algorithm designs on rgb values of each individual pixel ',
# Optional
long_description=long_description, # Optional
long_description_content_type='text/markdown', # Optional (see note above)
url='https://github.com/shubh-vashisht/PySvap', # Optional
author='Shubh Vashisht and Aman Priyadarshi', # Optional
author_email='shubhv2@gmail.com, aman19294@iiitd.ac.in', # Optional
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Education',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3 :: Only',
],
keywords='imageManipulation, image, pixels',
packages=find_packages(where='src'),
python_requires='>=3.6, <4',
install_requires=['Pillow'],
package_dir={"": "src"},
project_urls={
'Source': 'https://github.com/shubh-vashisht/PySvap',
},
)
| [
37811,
32,
900,
37623,
10141,
1912,
9058,
8265,
13,
198,
6214,
25,
198,
5450,
1378,
8002,
3039,
13,
29412,
13,
2398,
14,
5162,
1460,
14,
17080,
2455,
278,
12,
43789,
12,
3500,
12,
2617,
37623,
10141,
14,
198,
5450,
1378,
12567,
13,
... | 2.849379 | 644 |
#!/usr/bin/python3
#MAILCHIMPAPIAUDIENCES = {
# "audience_name" : "ENTER AUDIENCE NAME",
# "company" : "ENTER COMPANY NAME",
# "address1" : "ENTER ADDRESS",
# "city" : "ENTER CITY",
# "state" : "ENTER STATE", # EX: Western Province
# "zip_code" : "00300",
# "country" : "ENTER COUNTRY", # EX: LK
# "from_name" : "ENTER FROM NAME",
# "from_email" : "ENTER FROM EMAIL",
# "language" : "en"
#}
MAILCHIMPAPI="2a907db21ce88081b461c895237f34bd-us1"
MAILCHIMPUSENAME="Haolin Dai"
PORT="8000"
IPADDRESS="127.0.0.1"
ALPHAADVANTAGEKEY="6C6ZLWQNT2LK5OJG"
FINNHUBKEY="c1nnuv237fkph7jrlb70"
DATABASENAME="trading_database.db"
TICKERHELP="If specified, download data for all the US tickers specified. If this option is not specified, the server will download data for ticker ex: ‘AAPL.’ (Max of 3 tickers)"
PORTHELP="It specifies the network port for the server. This argument is optional, and default port is 8000."
RELOADHELP="If specified, the server will load historical data from the reload file instead of querying from Source 1"
MINUTESHELP="It specifies the sample data being downloaded. It only accepts (5,15,30,60) as inputs, and default value is 5."
INTERACTIVEHELP="It activates the interactive mode which is used for testing"
WELCOME="Welcome to the ALPHA Vantage trading interface, please type 'help' to get instructions"
PRICEHELP="""If specified, queries server for latest price
available as of the time specified. The time
queried is expected to be in UTC Time.
E.g. (Stock prices shown is not correct)
> client --price 2016-07-29-13:34
AAPL 332.50
MSFT 180.30
FB No Data
> client –-price 1959-05-14-01:00
Server has no data
> client --price 2025-05-14-01:00
Server has no data
> client --price now
(latest stock price)
"""
SIGNALHELP="""If specified, queries server for latest trading
signal available as of the time specified. The
time queried is expected to be in UTC Time.
> client --signal 2016-07-28-15:43
(the answer here could be either 1, -1,0)
AAPL 1
MSFT 1
FB 0
> client –-signal 1995-05-14-01:00
Server has no data
> client –-signal 2025-05-14-01:00
Server has no data
> client –-signal now
(latest signal value)
"""
SERVERADDRESSHELP="""If specified, connect to server running on the IP
address, and use specified port number. If this
option is not specified, client assumes that the
server is running on 127.0.0.1:8000
"""
DELTICKERHELP="""Instruct the server to del a ticker from the server
database.
Returns 0=success, 1=server error, 2=ticker not found
"""
ADDTICKERHELP="""Instruct the server to add a new ticker to the server
database. Server must download historical data for said
ticker, and start appending on the next pull.
Returns 0=success, 1=server error, 2=invalid ticker
"""
RESETHELP="""
If specified, instructs the server to reset all the data.
Server must re-download data and tell client that it was
successful.
Client exits with return code: 0=success, 1=failure
"""
| [
2,
48443,
14629,
14,
8800,
14,
29412,
18,
628,
198,
2,
5673,
4146,
3398,
3955,
47,
2969,
3539,
8322,
40,
24181,
1546,
796,
1391,
198,
2,
220,
220,
220,
366,
3885,
1240,
62,
3672,
1,
1058,
366,
3525,
1137,
41260,
42589,
36751,
1600,
... | 2.889324 | 1,021 |
from django.conf import settings
from django.core.cache import cache
from djimix.core.database import get_connection, xsql
from djimix.sql.departments import (
ACADEMIC_DEPARTMENTS, ALL_DEPARTMENTS,
DEPARTMENT_FACULTY, DEPARTMENT_DIVISION_CHAIRS,
FACULTY_DEPTS, PERSON_DEPARTMENTS, STAFF_DEPTS,
)
from collections import OrderedDict
def department(code):
"""Returns the department given the three letter code."""
sql = "{0} AND hrdept = '{1}' ORDER BY DESCR".format(ALL_DEPARTMENTS, code)
rows = xsql(sql)
try:
return rows.fetchone()
except AttributeError:
return None
def departments_all_choices():
"""Returns department tuples for choices parameter in models and forms."""
faculty = xsql(FACULTY_DEPTS)
staff = xsql(STAFF_DEPTS)
depts = [
('', '---Choose Your Department---'),
('', '---Faculty Departments---'),
]
if faculty:
for fac in faculty:
depts.append((fac.pcn_03.strip(), fac.department.strip()))
depts.append(('', '---Staff Deparments---'))
if staff:
for st in staff:
depts.append((st.hrdept.strip(), st.department.strip()))
return depts
def academic_department(did):
"""Returns academic departments based on department ID."""
sql = "{0} AND dept_table.dept = '{1}'".format(ACADEMIC_DEPARTMENTS, did)
rows = xsql(sql)
try:
return rows.fetchone()
except AttributeError:
return None
def person_departments(cid):
"""Returns all departments to which a person belongs."""
rows = xsql(PERSON_DEPARTMENTS(college_id=cid))
depts = []
for row in rows.fetchall():
depts.append((row.code.strip(), row.department.strip()))
return depts
def chair_departments(cid):
"""Returns all departments with which a chair/dean is associated."""
depts = OrderedDict()
base = """
SELECT
dept_table.dept as dept_code, dept_table.txt as dept_name,
dept_table.div as div_code, div_table.txt as div_name
FROM
dept_table
INNER JOIN
div_table ON dept_table.div = div_table.div
WHERE
CURRENT BETWEEN
dept_table.active_date
AND
NVL(dept_table.inactive_date, CURRENT)
AND
dept_table.web_display = "Y"
"""
sql = """
{0}
AND
div_table.head_id={1}
ORDER BY
dept_table.txt
""".format(base, cid)
rows = xsql(sql).fetchall()
if rows:
# division dean
dc = 'dean'
else:
# department chair
dc = 'chair'
sql = """
{0}
AND
dept_table.head_id={1}
AND
dept_table.dept != ("_ESN")
ORDER BY
dept_table.txt
""".format(base, cid)
rows = xsql(sql).fetchall()
if rows:
for row in rows:
depts[(row.dept_code)] = {
'dept_name': row.dept_name,
'dept_code': row.dept_code,
'div_name': row.div_name,
'div_code': row.div_code,
}
return ({'depts': depts}, dc, row.div_name, row.div_code)
else:
return ({'depts': depts}, None, None, None)
def department_division_chairs(where):
"""Return the department chair and division dean profiles."""
rows = xsql(DEPARTMENT_DIVISION_CHAIRS(where=where))
try:
return rows.fetchall()
except AttributeError:
return None
def department_faculty(code, year):
"""Return the faculty for the department given the dept code & year."""
rows = xsql(DEPARTMENT_FACULTY(year=year, dept=code))
try:
return rows.fetchall()
except AttributeError:
return None
| [
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
7295,
13,
23870,
1330,
12940,
198,
198,
6738,
42625,
320,
844,
13,
7295,
13,
48806,
1330,
651,
62,
38659,
11,
2124,
25410,
198,
6738,
42625,
320,
844,
13,
25410,
... | 2.136085 | 1,793 |
from django.db.models import Q, ExpressionWrapper, F, BooleanField
from django.http import JsonResponse
from rest_framework import status
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import AllowAny
from rest_framework.serializers import ModelSerializer
from rest_framework.permissions import IsAuthenticated
from api.views.auxiliary_functions import get_fields_as_list
from validator.models import ValidationRun
@api_view(['GET'])
@permission_classes([AllowAny])
@api_view(['GET'])
@permission_classes([IsAuthenticated])
@api_view(['GET'])
@permission_classes([IsAuthenticated])
@api_view(['GET'])
@permission_classes([IsAuthenticated])
@api_view(['GET'])
@permission_classes([IsAuthenticated])
| [
6738,
42625,
14208,
13,
9945,
13,
27530,
1330,
1195,
11,
41986,
36918,
2848,
11,
376,
11,
41146,
15878,
198,
198,
6738,
42625,
14208,
13,
4023,
1330,
449,
1559,
31077,
198,
6738,
1334,
62,
30604,
1330,
3722,
198,
6738,
1334,
62,
30604,
... | 3.342105 | 228 |
"""Tests for module secread"""
import os
import pytest
from secread import __version__, SecretServer
@pytest.fixture
| [
37811,
51,
3558,
329,
8265,
792,
961,
37811,
198,
11748,
28686,
198,
11748,
12972,
9288,
198,
6738,
792,
961,
1330,
11593,
9641,
834,
11,
3943,
10697,
628,
198,
198,
31,
9078,
9288,
13,
69,
9602,
628,
628,
198
] | 3.263158 | 38 |
from fastapi import APIRouter
from starlette.responses import RedirectResponse
router = APIRouter()
@router.get('/', summary='Redirect home page to docs', include_in_schema=False)
| [
6738,
3049,
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7738,
1060,
... | 3.267857 | 56 |
# Copyright (c) 2021 Stephan Gerhold
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from m5.params import *
from m5.objects.Device import BasicPioDevice
| [
2,
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66,
8,
33448,
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13573,
2946,
198,
2,
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13,
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2,
198,
2,
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396,
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290,
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290,
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351,
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1231,
198,
2,
17613,
11,
389,
10431,
2810,
326,
262,
1708,
3403,... | 3.562637 | 455 |
'''
Surrounds a panel with lines and a label.
Use like a wxPanel, specify label in the constructor.
>>> f = wx.Frame(None)
>>> box = LineBox(f, label = 'My Controls')
>>> button = wx.Button(box, -1, 'Push')
'''
import wx, gui
if __name__ == '__main__':
app = wx.PySimpleApp()
f = wx.Frame(None, -1, 'Linebox Test')
sizer = wx.BoxSizer(wx.VERTICAL)
box = LineBox(f, label = 'Test Preference Group')
grid = wx.GridSizer(2,2)
grid.Add(wx.Button(box, -1, 'one'))
grid.Add(wx.Button(box, -1, 'two'))
grid.Add(wx.Button(box, -1, 'three'))
grid.Add(wx.Button(box, -1, 'four'))
box.Add(grid)
sizer.Add(box, 1, wx.EXPAND)
f.SetSizer(sizer)
f.Show(True)
app.MainLoop() | [
7061,
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8,
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3091,... | 2.192771 | 332 |
# Copyright 2018-2019 David Corbett
# Copyright 2020-2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
__all__ = [
'CAP_HEIGHT',
'CLONE_DEFAULT',
'CURVE_OFFSET',
'Context',
'EPSILON',
'GlyphClass',
'MAX_TREE_DEPTH',
'MAX_TREE_WIDTH',
'NO_CONTEXT',
'Type',
'WIDTH_MARKER_PLACES',
'WIDTH_MARKER_RADIX',
'mkmk',
]
import enum
CAP_HEIGHT = 714
CLONE_DEFAULT = object()
CURVE_OFFSET = 75
DEFAULT_SIDE_BEARING = 85
EPSILON = 1e-5
MAX_TREE_DEPTH = 3
MAX_TREE_WIDTH = 2
WIDTH_MARKER_PLACES = 7
WIDTH_MARKER_RADIX = 4
NO_CONTEXT = Context()
| [
2,
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12,
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2,
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366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
... | 2.569794 | 437 |
from collections import defaultdict
import logging
import random
import time
import unittest
from rd_kafka import *
import rd_kafka.config_handles
from rd_kafka.partition_reader import PartitionReaderException, ConsumerPartition
import example
kafka_docker = "kafka:9092" # TODO make portable (see fig.yml etc)
logging.basicConfig(level=logging.DEBUG)
class ExampleTestCase(unittest.TestCase):
""" Make sure example.py is still current """
class ProduceConsumeTestCase(unittest.TestCase):
""" Seemingly unnecessary round-trip-test; cf bitbucket issue #2 """
if __name__ == "__main__":
unittest.main()
| [
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67,
62,
74,
1878,
4914,
13,
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62,
4993,
... | 3.063415 | 205 |
# -*- coding: utf-8 -*-
import copy
lcs = {}
| [
2,
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] | 2.08 | 25 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#version 1.1 此版本使用pyfasta实现。
import sys,os
from pyfasta import Fasta
if len(sys.argv) != 3:
print 'Usage: *.py inputFile outputFile'
sys.exit(0)
inputFile = sys.argv[1]
outputFile = sys.argv[2]
if os.path.isfile(inputFile):
f = Fasta(inputFile)
for key in f.keys():
writeFile(">"+key+os.linesep,outputFile)
content = f.sequence({'chr':key,'start':0,'stop':len(f[key])-1,'strand':'-'},one_based=False)
writeFile(content+os.linesep,outputFile)
else:
print '您输入的不是一个文件' | [
2,
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14,
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252,
163,
236... | 2.095618 | 251 |
import pytest
from plenum.test.helper import send_reqs_batches_and_get_suff_replies
from plenum.test.node_catchup.helper import ensure_all_nodes_have_same_data
from plenum.test.pool_transactions.helper import add_2_nodes
from plenum.test.primary_selection.helper import check_newly_added_nodes
# TODO: replace this func with sdk_ensure_pool_functional
@pytest.fixture(scope='module')
# TODO: Add more tests to make one next primary crashed, malicious, ensure primary
# selection happens after catchup
| [
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... | 3.10241 | 166 |
import os.path as path
import random
import copy
import numpy as np
from chainer import Variable, optimizers, serializers, Chain
import chainer.functions as F
import chainer.links as L
import chainer.computational_graph as c
import matplotlib.pyplot as plt
class DeepQ_learning():
"""
turn (rqeuired parameter): set string "Before" or "After"
DQN: switch whether to learn or not
use_ER: if True, use Experience Replay
use_target_q: if True, use target Q
name: this player's name
epsilon: default is 1, it will be used to the epsilon-greedy
model_file: the file for loading and saving self.model
optimizer_file: the file for loading and saving self.optimizer
"""
def learn_by_minibatch(self, s_batch, a_batch, r_batch, fs_batch):
"""
s_batch : two-dimensional array
a_batch : one-dimensional array
r_batch : one-dimensional array
fs_batch: two-dimensional array
"""
max_qs = np.max(self.target_model(np.array(list(map(np.array, fs_batch)), dtype=np.float32)).data, axis=1)
temp = self.model(np.array(list(map(np.array, s_batch)), dtype=np.float32))
y = F.reshape(copy.deepcopy(temp), (-1, 64))
for i in range(len(max_qs)):
temp.data[i][a_batch[i]] = r_batch[i] + self.gamma * max_qs[i]
t = F.reshape(temp, (-1, 64))
self.model.cleargrads()
loss = self.model.get_loss(y, t)
print(loss.data)
# print(" | ".join(map(str, [y.data[0][a_batch[0]], r_batch[0] + self.gamma * max_qs[0], loss.data])))
loss.backward()
self.optimizer.update()
def ER(self):
"Experience Replay"
if not self.use_ER: return
print("---- learn ER ----")
experience_memory = np.array(self.experience_memory)
perm = np.random.permutation(experience_memory)
for i in range(0, len(perm), self.replay_mini_batch_size):
batch = perm[i:i + self.replay_mini_batch_size].T
s_batch = batch[0]
a_batch = batch[1]
r_batch = batch[2]
fs_batch = batch[3]
settled = False
for k in range(3000):
self.learn_by_minibatch(s_batch, a_batch, r_batch, fs_batch)
self.update_target_model()
def game_finished(self, game):
"when finished one game, run this."
if game.result == None:
self.learn(self.last_state, self.last_action, 0, game.parse())
elif game.result == self.turn:
self.learn(self.last_state, self.last_action, 1, game.parse())
elif game.result != "Draw":
self.learn(self.last_state, self.last_action, -1, game.parse())
else:
self.learn(self.last_state, self.last_action, 0, game.parse())
self.update_target_model()
self.last_state = None
self.last_action = None
def all_game_finished(self):
"when finished all game, run this."
# plot_x = np.arange(len(self.plot_y))
# plt.plot(plot_x + 1, self.plot_y)
# plt.show()
if self.use_ER: self.ER()
self.save_model()
self.save_optimizer()
| [
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376... | 2.218728 | 1,431 |
import logging
from types import SimpleNamespace
from torch.utils.data import DataLoader
from torch.utils.data import Subset
from torch.utils.data.distributed import DistributedSampler
from dataset.webnlg_dataset import WebNLGDataset
from dataset.tekgen_dataset import TekGenDataset
import cfg
logger = logging.getLogger(__name__)
log = logger
def get_dataloaders(args, tokenizer, split=None):
''' Returns a dict of dataloaders given args.dataset, tokenizer, and split'''
splits = cfg.split_choices_all
dataloaders = {}
log.info(f"dataloader requested for: [{args.dataset}/{splits if split is None else split}]")
if split is not None and split not in splits:
raise ValueError(f"# split {split} is not in the list {splits}")
split = splits if split is None else [split]
if args.dataset in cfg.dataset_choices:
for key in split:
dl = get_dataloader(args, tokenizer, key)
dataloaders[key] = dl
else:
raise RuntimeError(f"# dataset '{args.dataset}' is not valid")
return dataloaders
def get_dataset(args, tokenizer, split):
''' Returns a dataset given args.dataset, args.prepare, tokenizer and split (and few options from args)
Args:
tokenizer: tokenizer
split: dataset split
from args: see {root}/opts.py for details
args.dataset : dataset
args.prepare : preparation engine
args.prepare_permutation : permutation scheme for prepare engine
args.src : source modality
'''
if args.dataset not in cfg.dataset_choices:
raise RuntimeError(f"# dataset '{args.dataset}' is not valid")
if args.dataset == 'webnlg':
prepare_args = SimpleNamespace(prepare_permutation=args.prepare_permutation)
ds = WebNLGDataset(split, tokenizer, args.src, prepare=args.prepare, prepare_args=prepare_args)
elif args.dataset == 'tekgen':
prepare_args = SimpleNamespace(prepare_permutation=args.prepare_permutation)
ds = TekGenDataset(split, tokenizer, args.src, prepare=args.prepare, prepare_args=prepare_args)
else:
raise RuntimeError(f"# dataset '{args.dataset}' is not valid")
return ds
def get_dataloader(args, tokenizer, split):
''' Gets a dataloader for a given split of a dataset, and tokenizer
Args:
tokenizer: tokenizer
split: dataset split
from args: see {root}/opts.py for details
args.dataset : dataset
args.subset_fraction : subset fraction of split to use
'''
is_train = True if split == 'train' else False
dl, ds = None, None
ds = get_dataset(args, tokenizer, split)
# tekgen is restricted in numbers of samples
if 'tekgen' in args.dataset:
if args.subset_fraction is None:
if 'test' in split:
args.subset_fraction = 50000
elif 'val' in split:
args.subset_fraction = 5000
else:
raise ValueError(f"split {split} is not recognized for tekgen")
log.info(f"# for dataset '{args.dataset}': restricting samples w/ args.subset_fraction={args.subset_fraction}")
if args.subset_fraction is not None:
subset_indices = list(range(args.subset_fraction))
log.info(f'# use subset of dataset: [{len(subset_indices)}]')
ds_main = ds
ds = Subset(ds_main, subset_indices)
ds._collate_fn = ds_main._collate_fn
ds.tokenizer = ds_main.tokenizer
ds.get_meta = ds_main.get_meta # works bc we take the first args.subset_fraction samples from ds_main
sampler = None
if is_train:
sampler = DistributedSampler(ds, num_replicas=args.world_size,
rank=args.local_rank) if args.distributed else None
dl = DataLoader(ds,
batch_size=args.batch_size if is_train else args.batch_size_eval,
shuffle=False,
collate_fn=ds._collate_fn,
num_workers=args.num_workers,
sampler=sampler,
drop_last=True if is_train else False)
log.info(f"# dataloader: '{args.dataset}' {split} [{len(dl)}] (dataset:{len(ds)} samples)")
# check
if len(dl) == 0:
raise RuntimeError(f'dataloader for dataset split {split} is empty: len(dl)={len(dl)}')
return dl
| [
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13... | 2.323951 | 1,883 |
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Optional
from botocore.exceptions import ClientError
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
from airflow.providers.amazon.aws.operators.sagemaker_base import SageMakerBaseOperator
from airflow.utils.decorators import apply_defaults
class SageMakerEndpointOperator(SageMakerBaseOperator):
"""
Create a SageMaker endpoint.
This operator returns The ARN of the endpoint created in Amazon SageMaker
:param config:
The configuration necessary to create an endpoint.
If you need to create a SageMaker endpoint based on an existed
SageMaker model and an existed SageMaker endpoint config::
config = endpoint_configuration;
If you need to create all of SageMaker model, SageMaker endpoint-config and SageMaker endpoint::
config = {
'Model': model_configuration,
'EndpointConfig': endpoint_config_configuration,
'Endpoint': endpoint_configuration
}
For details of the configuration parameter of model_configuration see
:py:meth:`SageMaker.Client.create_model`
For details of the configuration parameter of endpoint_config_configuration see
:py:meth:`SageMaker.Client.create_endpoint_config`
For details of the configuration parameter of endpoint_configuration see
:py:meth:`SageMaker.Client.create_endpoint`
:type config: dict
:param aws_conn_id: The AWS connection ID to use.
:type aws_conn_id: str
:param wait_for_completion: Whether the operator should wait until the endpoint creation finishes.
:type wait_for_completion: bool
:param check_interval: If wait is set to True, this is the time interval, in seconds, that this operation
waits before polling the status of the endpoint creation.
:type check_interval: int
:param max_ingestion_time: If wait is set to True, this operation fails if the endpoint creation doesn't
finish within max_ingestion_time seconds. If you set this parameter to None it never times out.
:type max_ingestion_time: int
:param operation: Whether to create an endpoint or update an endpoint. Must be either 'create or 'update'.
:type operation: str
"""
@apply_defaults
def create_integer_fields(self) -> None:
"""Set fields which should be casted to integers."""
if 'EndpointConfig' in self.config:
self.integer_fields = [['EndpointConfig', 'ProductionVariants', 'InitialInstanceCount']]
| [
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670,
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3224,
1321,
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2,
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... | 3.233779 | 1,048 |
#!/usr/bin/env python3
import os
drive = find_backup_drive()
backup_dir = f'/Volumes/{drive}/home'
print(f'Backing up to {backup_dir}...')
dirs = ['books', 'code', 'Compositions', 'Documents', 'dotfiles', 'Movies', 'Music', 'Pictures', 'thoughts']
if not os.path.exists(backup_dir):
print(f"Please create directory '{backup_dir}'")
exit(1)
home = os.path.expanduser('~')
os.chdir(home)
for dir in dirs:
if not os.path.exists(dir):
print(f"~/{dir} doesn't exist")
continue
print('*' * 80)
print(f' backing up {dir}...')
print('*' * 80)
# -vr: verbose, recursive
# --size-only: don't copy files if dest and source are the same size
# --delete: delete files in dest that aren't in source
os.system(f'rsync -vr --size-only --delete {home}/{dir}/ {backup_dir}/{dir}')
print('\n __________,\n / Done! /\n\'---------')
| [
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4798... | 2.394022 | 368 |
# -*- coding: utf-8 -*-
__author__ = "Lukas Pfeifenberger"
import time
import numpy as np
import argparse
import json
import os
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
sys.path.append(os.path.abspath('../'))
from keras.models import Sequential, Model
from keras.layers import Layer, Dense, Activation, LSTM, Input, Lambda, BatchNormalization, LayerNormalization, Conv1D, Bidirectional
from keras import activations
import keras.backend as K
import tensorflow as tf
from loaders.feature_generator import feature_generator
from utils.mat_helpers import *
from algorithms.audio_processing import *
from utils.keras_helpers import *
from ops.complex_ops import *
from utils.matplotlib_helpers import *
from modules.beamforming_td import beamforming
from modules.identification_td import identification
np.set_printoptions(precision=3, threshold=3, edgeitems=3)
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
#-------------------------------------------------------------------------
#-------------------------------------------------------------------------
#---------------------------------------------------------
#---------------------------------------------------------
#---------------------------------------------------------
#---------------------------------------------------------
#---------------------------------------------------------
#---------------------------------------------------------
#---------------------------------------------------------
#---------------------------------------------------------
if __name__ == "__main__":
# parse command line args
parser = argparse.ArgumentParser(description='speaker separation')
parser.add_argument('--config_file', help='name of json configuration file', default='shoebox_c2.json')
parser.add_argument('mode', help='mode: [train, valid, plot]', nargs='?', choices=('train', 'valid', 'plot'), default='train')
args = parser.parse_args()
# load config file
try:
print('*** loading config file: %s' % args.config_file )
with open(args.config_file, 'r') as f:
config = json.load(f)
except:
print('*** could not load config file: %s' % args.config_file)
quit(0)
if args.mode == 'train':
bssd = bssd(config)
bssd.train()
if args.mode == 'valid':
bssd = bssd(config)
bssd.validate()
if args.mode == 'plot':
bssd = bssd(config)
bssd.plot()
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... | 3.274256 | 773 |