code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
__all__ = [
'required_signatures',
'signature_rights',
'person_official_person_registry_response',
'person_eiendom_liste',
'person_narings_interesser',
'person_beta_sammendrag',
'organization_response',
'signature_status_response',
'person_navn_adresse',
'organization_re... | idfy_rest_client/models/__init__.py | __all__ = [
'required_signatures',
'signature_rights',
'person_official_person_registry_response',
'person_eiendom_liste',
'person_narings_interesser',
'person_beta_sammendrag',
'organization_response',
'signature_status_response',
'person_navn_adresse',
'organization_re... | 0.286169 | 0.142172 |
import numpy as np
from mujoco_py.generated import const
from robogym.mujoco.simulation_interface import SimulationInterface
from robogym.robot.shadow_hand.hand_forward_kinematics import (
FINGERTIP_SITE_NAMES,
REFERENCE_SITE_NAMES,
get_relative_positions,
)
from robogym.robot.shadow_hand.hand_interface im... | robogym/robot/shadow_hand/mujoco/mujoco_shadow_hand.py | import numpy as np
from mujoco_py.generated import const
from robogym.mujoco.simulation_interface import SimulationInterface
from robogym.robot.shadow_hand.hand_forward_kinematics import (
FINGERTIP_SITE_NAMES,
REFERENCE_SITE_NAMES,
get_relative_positions,
)
from robogym.robot.shadow_hand.hand_interface im... | 0.822332 | 0.526769 |
import importlib
import multiprocessing
from threading import Thread
import logging
import datetime
from .util import CreateDirFileHandler
import traceback
from . import agent
class Controller():
"""Controlls all Agents and the Communication with them over IPC
Keyword Arguments:
logging_path {str}... | pyjamas_core/controller.py | import importlib
import multiprocessing
from threading import Thread
import logging
import datetime
from .util import CreateDirFileHandler
import traceback
from . import agent
class Controller():
"""Controlls all Agents and the Communication with them over IPC
Keyword Arguments:
logging_path {str}... | 0.341802 | 0.091748 |
from __future__ import absolute_import
from .colored import ColoredString, clean
from ..utils import tsplit, schunk
NEWLINES = ('\n', '\r', '\r\n')
def min_width(string, cols, padding=' '):
"""Returns given string with right padding."""
is_color = isinstance(string, ColoredString)
stack = tsplit(str(... | venv/lib/python3.6/site-packages/clint/textui/formatters.py | from __future__ import absolute_import
from .colored import ColoredString, clean
from ..utils import tsplit, schunk
NEWLINES = ('\n', '\r', '\r\n')
def min_width(string, cols, padding=' '):
"""Returns given string with right padding."""
is_color = isinstance(string, ColoredString)
stack = tsplit(str(... | 0.712432 | 0.24834 |
import collections
class TokenPathIndex:
def __init__ (self, index):
self.index = index
def __str__ (self):
return str(self.index)
def __repr__ (self):
return '<TokenPathIndex({})>'.format(self.index)
def __eq__ (self, other):
return isinstance(other, TokenPathIndex)... | pyepgdb/_bytedata/result.py | import collections
class TokenPathIndex:
def __init__ (self, index):
self.index = index
def __str__ (self):
return str(self.index)
def __repr__ (self):
return '<TokenPathIndex({})>'.format(self.index)
def __eq__ (self, other):
return isinstance(other, TokenPathIndex)... | 0.651355 | 0.206994 |
from flask import Flask, Request, g, current_app
from werkzeug.contrib.fixers import ProxyFix
import os
import redis
import logging
log = logging.getLogger("hyves.p2ptracker.init")
class Latin1Request(Request):
url_charset = 'latin-1'
def redis_connect():
redishost = current_app.config["REDISHOST"]
redis... | p2ptracker/__init__.py | from flask import Flask, Request, g, current_app
from werkzeug.contrib.fixers import ProxyFix
import os
import redis
import logging
log = logging.getLogger("hyves.p2ptracker.init")
class Latin1Request(Request):
url_charset = 'latin-1'
def redis_connect():
redishost = current_app.config["REDISHOST"]
redis... | 0.329823 | 0.044204 |
from uuid import uuid4
import pytest
from django.core.management import call_command
from datahub.company.models import Company
from datahub.company.test.factories import AdviserFactory, CompanyFactory
from datahub.dbmaintenance.management.commands.get_dnb_one_list_tier_companies import (
_get_company_ids,
)
# T... | datahub/dbmaintenance/test/commands/test_get_dnb_one_list_tier_companies.py | from uuid import uuid4
import pytest
from django.core.management import call_command
from datahub.company.models import Company
from datahub.company.test.factories import AdviserFactory, CompanyFactory
from datahub.dbmaintenance.management.commands.get_dnb_one_list_tier_companies import (
_get_company_ids,
)
# T... | 0.265404 | 0.213449 |
import re
import numpy as np
from keras.preprocessing.sequence import pad_sequences
class LinkedAnswerHints(object):
def __init__(self, source_file, vocabulary_parent=None, use_entity_ordering=False, non_vocabulary_ratio=0.0,
mask=True):
self._use_entity_ordering = use_entity_ordering
... | data/linked_answer_hints.py | import re
import numpy as np
from keras.preprocessing.sequence import pad_sequences
class LinkedAnswerHints(object):
def __init__(self, source_file, vocabulary_parent=None, use_entity_ordering=False, non_vocabulary_ratio=0.0,
mask=True):
self._use_entity_ordering = use_entity_ordering
... | 0.566858 | 0.238639 |
class Solution:
# 递归版本，当前位置最小值 = min{当前位置左边最小值，当前位置上边最小值}+当前位置的值
def __init__(self):
# 声明结果矩阵，用于记录已经遍历过的位置
self.res = []
def minPathSum(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
# 入股gird为空，则直接返回
if not grid:
re... | LeetCode/2018-12-17-64-Minimum-Path-Sum.py |
class Solution:
# 递归版本，当前位置最小值 = min{当前位置左边最小值，当前位置上边最小值}+当前位置的值
def __init__(self):
# 声明结果矩阵，用于记录已经遍历过的位置
self.res = []
def minPathSum(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
# 入股gird为空，则直接返回
if not grid:
re... | 0.537041 | 0.591104 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = [
'GetVirtualCircuitResult',
'AwaitableGetVirtualCircuitResult',
'get_virtual_circuit',
]
@pulumi.output_type
class GetVirtualCircuitResult:
"""
... | sdk/python/pulumi_equinix_metal/get_virtual_circuit.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
__all__ = [
'GetVirtualCircuitResult',
'AwaitableGetVirtualCircuitResult',
'get_virtual_circuit',
]
@pulumi.output_type
class GetVirtualCircuitResult:
"""
... | 0.777849 | 0.102036 |
# %%
import librosa
import numpy as np
from hmmlearn import hmm
# be reproducible...
np.random.seed(1337)
# ---%<------------------------------------------------------------------------
# Part 1: Basics
# version 1.0.10 has 10 digits, spoken 50 times by 6 speakers
digits = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
nr = 50
sp... | src/hmms.py |
# %%
import librosa
import numpy as np
from hmmlearn import hmm
# be reproducible...
np.random.seed(1337)
# ---%<------------------------------------------------------------------------
# Part 1: Basics
# version 1.0.10 has 10 digits, spoken 50 times by 6 speakers
digits = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
nr = 50
sp... | 0.68658 | 0.495667 |
import argparse
import sys
COLUMN_HEADERS = ['Layer', 'Output Size', 'Receptive Field']
COLUMN_WIDTHS = [None, 12, 16]
COLUMN_ATTRIBUTES = ['description', 'output_size', 'receptive_field_size']
COLUMN_ALIGNS = ['<', '^', '^']
COLUMN_SEPERATOR = ' | '
HORIZONTAL_RULE_CHARACTER = '-'
def main():
parser = argpars... | src/cnncalc/main.py |
import argparse
import sys
COLUMN_HEADERS = ['Layer', 'Output Size', 'Receptive Field']
COLUMN_WIDTHS = [None, 12, 16]
COLUMN_ATTRIBUTES = ['description', 'output_size', 'receptive_field_size']
COLUMN_ALIGNS = ['<', '^', '^']
COLUMN_SEPERATOR = ' | '
HORIZONTAL_RULE_CHARACTER = '-'
def main():
parser = argpars... | 0.336549 | 0.137996 |
import csv
import os
import re
from six.moves import StringIO
import json
from django.test import TestCase
from django.utils.encoding import smart_text
from samples.samples_factory import LibraryFactory, LibraryTypeFactory, \
MultiplexIndexFactory
from experiments.experiments_factory import FlowCellFactory, Lane... | htsworkflow/pipelines/test/test_retrieve_config.py | import csv
import os
import re
from six.moves import StringIO
import json
from django.test import TestCase
from django.utils.encoding import smart_text
from samples.samples_factory import LibraryFactory, LibraryTypeFactory, \
MultiplexIndexFactory
from experiments.experiments_factory import FlowCellFactory, Lane... | 0.314577 | 0.195709 |
from fastapi import APIRouter, Header, Depends
from infrastructure.db.database import Session, get_db
from application.controllers.question_solution_controller import QuestionSolutionController
from application.services.auth import auth_service
from domain.question_solution_model import (
QuestionSolutionPostBody,
... | infrastructure/routes/question_solution_router.py | from fastapi import APIRouter, Header, Depends
from infrastructure.db.database import Session, get_db
from application.controllers.question_solution_controller import QuestionSolutionController
from application.services.auth import auth_service
from domain.question_solution_model import (
QuestionSolutionPostBody,
... | 0.522689 | 0.087213 |
import langevin
import pandas as pd
import numpy as np
import argparse
import pymc3 as pm
import theano.tensor as tt
from scipy.stats import pearsonr
from scipy.optimize import root
class Ornstein_Uhlenbeck(pm.Continuous):
"""
Ornstein-Uhlenbeck Process
Parameters
----------
B : tensor
B > ... | correlations.py | import langevin
import pandas as pd
import numpy as np
import argparse
import pymc3 as pm
import theano.tensor as tt
from scipy.stats import pearsonr
from scipy.optimize import root
class Ornstein_Uhlenbeck(pm.Continuous):
"""
Ornstein-Uhlenbeck Process
Parameters
----------
B : tensor
B > ... | 0.533884 | 0.663969 |
import os
import pickle
from collections import OrderedDict
from sgr_analysis.analysis_utils import get_CO2_frequencies_d, get_dipoles_d, get_outputfiles_from_path, filter_n_mm_into_dict
methods = OrderedDict([
('blyp', 'BLYP'),
('tpss', 'TPSS'),
('b3lyp', 'B3LYP'),
('wb97x-d', r'$\omega$B97X-D'),
... | sgr_analysis/parse_outputs_snapshot_method_dependence.py | import os
import pickle
from collections import OrderedDict
from sgr_analysis.analysis_utils import get_CO2_frequencies_d, get_dipoles_d, get_outputfiles_from_path, filter_n_mm_into_dict
methods = OrderedDict([
('blyp', 'BLYP'),
('tpss', 'TPSS'),
('b3lyp', 'B3LYP'),
('wb97x-d', r'$\omega$B97X-D'),
... | 0.347316 | 0.148819 |
import jieba
import jieba.posseg as pseg
import queue
import sqlite3
class _telegram_plugin_part_of_speech:
verb = ['v', 'vd', 'vn']
norn = ['n', 'nr', 'nz']
quantifier = ['m']
class _telegram_plugin:
def __init__(self):
self.reveive_q = queue.Queue()
# Connect to database
... | system/scripts/telegram_plugin.py | import jieba
import jieba.posseg as pseg
import queue
import sqlite3
class _telegram_plugin_part_of_speech:
verb = ['v', 'vd', 'vn']
norn = ['n', 'nr', 'nz']
quantifier = ['m']
class _telegram_plugin:
def __init__(self):
self.reveive_q = queue.Queue()
# Connect to database
... | 0.2676 | 0.094385 |
from restapp.models.p_user import P_User
from restapp.models.p_group import P_Group
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from django.http import Http404
from restapp.models.p_user import P_User
from restapp.serializers.p_userSerializer... | restsite/restapp/views/p_userView.py | from restapp.models.p_user import P_User
from restapp.models.p_group import P_Group
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from django.http import Http404
from restapp.models.p_user import P_User
from restapp.serializers.p_userSerializer... | 0.40698 | 0.065276 |
import random
from .core import SahasrahBotCoreHandler
class GameHandler(SahasrahBotCoreHandler):
async def ex_flags(self, args, message):
try:
flags = args[0]
except IndexError:
await self.send_message(
'You must specify a set of flags!'
)
... | alttprbot_racetime/handlers/z2r.py | import random
from .core import SahasrahBotCoreHandler
class GameHandler(SahasrahBotCoreHandler):
async def ex_flags(self, args, message):
try:
flags = args[0]
except IndexError:
await self.send_message(
'You must specify a set of flags!'
)
... | 0.343562 | 0.06134 |
import sys
sys.path.append('/bevpo/src')
import os
import time
import bevpo.datasets.prep_ubermovement as prep_data
import bevpo.trafficsystem as trafficsystem
import bevpo.samp_traf as samp_traf
# get starting time
start_t = time.perf_counter()
### Set some paths
# set path to Uber Movement data
path_to_data = 'd... | test/integration/main.py | import sys
sys.path.append('/bevpo/src')
import os
import time
import bevpo.datasets.prep_ubermovement as prep_data
import bevpo.trafficsystem as trafficsystem
import bevpo.samp_traf as samp_traf
# get starting time
start_t = time.perf_counter()
### Set some paths
# set path to Uber Movement data
path_to_data = 'd... | 0.158565 | 0.247211 |
import json
import os
slotValue = [500, 3500, 4000]
# compare if a charm can be make with another
def isCharm1InCharm2(charm1, charm2, skillToJewel):
charmToSlot = [0, 0, 0]
for slot in charm1["slots"]:
if slot > 0:
charmToSlot[slot - 1] += 1
for skill in charm1["ski... | rebirth.py |
import json
import os
slotValue = [500, 3500, 4000]
# compare if a charm can be make with another
def isCharm1InCharm2(charm1, charm2, skillToJewel):
charmToSlot = [0, 0, 0]
for slot in charm1["slots"]:
if slot > 0:
charmToSlot[slot - 1] += 1
for skill in charm1["ski... | 0.158077 | 0.180974 |
from buycoins_client import Prices
from buycoins_client import Auth
import unittest
from unittest.mock import patch
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
class Tes... | tests/test_prices.py | from buycoins_client import Prices
from buycoins_client import Auth
import unittest
from unittest.mock import patch
class MockResponse:
def __init__(self, json_data, status_code):
self.json_data = json_data
self.status_code = status_code
def json(self):
return self.json_data
class Tes... | 0.619126 | 0.282858 |
import os
from time import sleep
from tests.schemas import (
credentials_descriptor,
everything_descriptor,
frameworks_descriptor,
json_descriptor,
programs_descriptor,
skills_descriptor,
)
import docker
import pytest
from data_resource_api.app.data_managers.data_model_manager import DataMode... | tests/conftest.py |
import os
from time import sleep
from tests.schemas import (
credentials_descriptor,
everything_descriptor,
frameworks_descriptor,
json_descriptor,
programs_descriptor,
skills_descriptor,
)
import docker
import pytest
from data_resource_api.app.data_managers.data_model_manager import DataMode... | 0.576065 | 0.106365 |
import sys
import json
from PyQt5.QtWidgets import QApplication, QWidget
user_preferences_template = {
"JSONLoaded": True,
"maximized": False,
"fullscreen": False
}
def compare_dict_keys(dict_a, dict_b):
"""
Compares the keys of two dictionaries, checking if they both have the same keys.
"""
... | src/application.py | import sys
import json
from PyQt5.QtWidgets import QApplication, QWidget
user_preferences_template = {
"JSONLoaded": True,
"maximized": False,
"fullscreen": False
}
def compare_dict_keys(dict_a, dict_b):
"""
Compares the keys of two dictionaries, checking if they both have the same keys.
"""
... | 0.330147 | 0.163679 |
from elasticsearch import Elasticsearch, RequestsHttpConnection, helpers
import pandas as pd
class ElasticSearchQuery:
"""
Class that abstract the Complexity of Elasticsearch SDK
"""
def __init__(self, user: str, password: str, url: str):
"""
Creates a object of DAO
:param use... | DAO/ElasticSearchQuery.py | from elasticsearch import Elasticsearch, RequestsHttpConnection, helpers
import pandas as pd
class ElasticSearchQuery:
"""
Class that abstract the Complexity of Elasticsearch SDK
"""
def __init__(self, user: str, password: str, url: str):
"""
Creates a object of DAO
:param use... | 0.793786 | 0.350421 |
import pandasdmx as sdmx
import pandas as pd
def dump_dimension(dsd, dim_name: str, all:bool=False):
if all:
print(dsd.dimensions.components)
print(dsd.attributes.components)
e = dsd.dimensions.get(dim_name).local_representation.enumerated
df = sdmx.to_pandas(e)
print(df)
def dump_flow... | src/sdmx/ingest.py | import pandasdmx as sdmx
import pandas as pd
def dump_dimension(dsd, dim_name: str, all:bool=False):
if all:
print(dsd.dimensions.components)
print(dsd.attributes.components)
e = dsd.dimensions.get(dim_name).local_representation.enumerated
df = sdmx.to_pandas(e)
print(df)
def dump_flow... | 0.214034 | 0.301941 |
from flask import Flask, render_template, request, redirect
from .models import DB, User
from decouple import config
from .twitter import add_or_update_user
from .predict import predict_user
# make our own app factory
def create_app():
app = Flask(__name__)
# app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite://... | twitoff/app.py | from flask import Flask, render_template, request, redirect
from .models import DB, User
from decouple import config
from .twitter import add_or_update_user
from .predict import predict_user
# make our own app factory
def create_app():
app = Flask(__name__)
# app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite://... | 0.531453 | 0.052376 |
import numpy as np
from scipy.signal.signaltools import convolve2d
from scipy.signal.windows import gaussian
def lcn(X, kernel):
"""Apply Local Contrast Normalization (LCN) to an array.
Parameters
----------
X : np.ndarray, ndim=2
Input representation.
kernel : np.ndarray
Convolut... | Python/cardiachelpers/lcn.py | import numpy as np
from scipy.signal.signaltools import convolve2d
from scipy.signal.windows import gaussian
def lcn(X, kernel):
"""Apply Local Contrast Normalization (LCN) to an array.
Parameters
----------
X : np.ndarray, ndim=2
Input representation.
kernel : np.ndarray
Convolut... | 0.918549 | 0.832883 |
import FWCore.ParameterSet.Config as cms
process = cms.Process("myprocess")
process.TFileService=cms.Service("TFileService",fileName=cms.string('JECplots.root'))
##-------------------- Communicate with the DB -----------------------
process.load('Configuration.StandardSequences.Services_cff')
process.load("Configurati... | JetMETCorrections/Modules/test/JetCorrectorDemo_cfg.py | import FWCore.ParameterSet.Config as cms
process = cms.Process("myprocess")
process.TFileService=cms.Service("TFileService",fileName=cms.string('JECplots.root'))
##-------------------- Communicate with the DB -----------------------
process.load('Configuration.StandardSequences.Services_cff')
process.load("Configurati... | 0.513668 | 0.102529 |
import sys
import logging
from sh import docker, ErrorReturnCode
from .base import CliCommand
from .dotci3 import DotCi3Mixin
from ci3.error import Ci3Error
logger = logging.getLogger(__name__)
class BuildCommand(CliCommand, DotCi3Mixin):
"""Build container images with docker."""
def run(self, args):
... | ci3/commands/dkr.py | import sys
import logging
from sh import docker, ErrorReturnCode
from .base import CliCommand
from .dotci3 import DotCi3Mixin
from ci3.error import Ci3Error
logger = logging.getLogger(__name__)
class BuildCommand(CliCommand, DotCi3Mixin):
"""Build container images with docker."""
def run(self, args):
... | 0.329284 | 0.05744 |
import tensorflow as tf
import numpy as np
from ANNtf2_operations import * #generateParameterNameSeq, generateParameterName, defineNetworkParameters
import ANNtf2_operations
import ANNtf2_globalDefs
debugOnlyTrainFinalLayer = False
debugSingleLayerNetwork = False
debugFastTrain = False
W = {}
B = {}
#Network param... | ANNtf/ANNtf2_algorithmANN.py | import tensorflow as tf
import numpy as np
from ANNtf2_operations import * #generateParameterNameSeq, generateParameterName, defineNetworkParameters
import ANNtf2_operations
import ANNtf2_globalDefs
debugOnlyTrainFinalLayer = False
debugSingleLayerNetwork = False
debugFastTrain = False
W = {}
B = {}
#Network param... | 0.191139 | 0.343589 |
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, List
from libp2p.peer.id import ID
from libp2p.typing import TProtocol
from .pb import rpc_pb2
if TYPE_CHECKING:
from .pubsub import Pubsub # noqa: F401
class IPubsubRouter(ABC):
@abstractmethod
def get_protocols(self) -> List[TProt... | libp2p/pubsub/pubsub_router_interface.py | from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, List
from libp2p.peer.id import ID
from libp2p.typing import TProtocol
from .pb import rpc_pb2
if TYPE_CHECKING:
from .pubsub import Pubsub # noqa: F401
class IPubsubRouter(ABC):
@abstractmethod
def get_protocols(self) -> List[TProt... | 0.797951 | 0.226014 |
import math
import rospy
from geometry_msgs.msg import PoseStamped
def position_distance(pose_a, pose_b):
diff_x = pose_a.position.x - pose_b.position.x
diff_y = pose_a.position.y - pose_b.position.y
diff_z = pose_a.position.z - pose_b.position.z
return math.sqrt(diff_x*diff_x + diff_y*diff_y + diff_z*... | mocap_bridge/scripts/pose_watchdog.py | import math
import rospy
from geometry_msgs.msg import PoseStamped
def position_distance(pose_a, pose_b):
diff_x = pose_a.position.x - pose_b.position.x
diff_y = pose_a.position.y - pose_b.position.y
diff_z = pose_a.position.z - pose_b.position.z
return math.sqrt(diff_x*diff_x + diff_y*diff_y + diff_z*... | 0.441673 | 0.292747 |
from typing import Optional, List
import numpy as np
from gym import Env
from gym.spaces import Box, Discrete
from collections import deque
from tensorflow.keras.layers import Dense, Input, Flatten
from tensorflow.keras.models import Model, load_model
from tensorflow.keras.optimizers import Nadam
from tensorflow.keras.... | agents/deep_q_network_agent.py | from typing import Optional, List
import numpy as np
from gym import Env
from gym.spaces import Box, Discrete
from collections import deque
from tensorflow.keras.layers import Dense, Input, Flatten
from tensorflow.keras.models import Model, load_model
from tensorflow.keras.optimizers import Nadam
from tensorflow.keras.... | 0.927413 | 0.412589 |
import pytest
import ray
import tensorflow as tf
from garage.envs import GymEnv
from garage.experiment import deterministic
from garage.np.baselines import LinearFeatureBaseline
from garage.sampler import LocalSampler, RaySampler
from garage.tf.algos import VPG
from garage.tf.plotter import Plotter
from garage.tf.poli... | tests/garage/tf/experiment/test_trainer.py | import pytest
import ray
import tensorflow as tf
from garage.envs import GymEnv
from garage.experiment import deterministic
from garage.np.baselines import LinearFeatureBaseline
from garage.sampler import LocalSampler, RaySampler
from garage.tf.algos import VPG
from garage.tf.plotter import Plotter
from garage.tf.poli... | 0.818556 | 0.324356 |
import platform
import textwrap
from tkinter import (
Frame,
Label,
Button,
StringVar,
N,
E,
S,
W,
LEFT,
DISABLED,
NORMAL,
)
from numpy import where
import pandas as pd
import requests
from PIL import ImageTk, Image
from utils.consts import Consts
class ImgFrame(Frame):
... | gui/gui.py | import platform
import textwrap
from tkinter import (
Frame,
Label,
Button,
StringVar,
N,
E,
S,
W,
LEFT,
DISABLED,
NORMAL,
)
from numpy import where
import pandas as pd
import requests
from PIL import ImageTk, Image
from utils.consts import Consts
class ImgFrame(Frame):
... | 0.400398 | 0.118666 |
import io
import os
import subprocess
import html_checker
from html_checker.exceptions import HtmlCheckerBaseException
def is_local_ressource(path):
"""
Check if given path is a local ressource.
Arguments:
path (string): Ressource path.
Returns:
bool: True if file path, else False.
... | html_checker/utils.py | import io
import os
import subprocess
import html_checker
from html_checker.exceptions import HtmlCheckerBaseException
def is_local_ressource(path):
"""
Check if given path is a local ressource.
Arguments:
path (string): Ressource path.
Returns:
bool: True if file path, else False.
... | 0.724383 | 0.277901 |
from PyQt4 import QtGui, QtCore
import resources
class Ui_ExplorerWindow(object):
def setupUi(self, window):
window.setWindowTitle('California State University Long Beach Explorer')
self.centralWidget = QtGui.QWidget(window)
self.centralWidget.setMinimumSize(800, 500)
window.setCentralWidget(self.... | CSULB_PyQGISapp/ui_explorerWindow.py | from PyQt4 import QtGui, QtCore
import resources
class Ui_ExplorerWindow(object):
def setupUi(self, window):
window.setWindowTitle('California State University Long Beach Explorer')
self.centralWidget = QtGui.QWidget(window)
self.centralWidget.setMinimumSize(800, 500)
window.setCentralWidget(self.... | 0.237841 | 0.055797 |
layout = BoolScalar("layout", False) # NHWC
# TEST 1: GENERATE_PROPOSALS_1
model = Model()
i1 = Input("scores", "TENSOR_FLOAT32", "{1, 2, 2, 2}") # scores
i2 = Input("bboxDeltas", "TENSOR_FLOAT32", "{1, 2, 2, 8}") # bounding box deltas
i3 = Input("anchors", "TENSOR_FLOAT32", "{2, 4}") # anchors
i4 = Input("imageInfo"... | tests/nnapi/specs/skip/V1_2/generate_proposals.mod.py |
layout = BoolScalar("layout", False) # NHWC
# TEST 1: GENERATE_PROPOSALS_1
model = Model()
i1 = Input("scores", "TENSOR_FLOAT32", "{1, 2, 2, 2}") # scores
i2 = Input("bboxDeltas", "TENSOR_FLOAT32", "{1, 2, 2, 8}") # bounding box deltas
i3 = Input("anchors", "TENSOR_FLOAT32", "{2, 4}") # anchors
i4 = Input("imageInfo"... | 0.526343 | 0.410934 |
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
import numpy as np
import argparse
import cv2
import json
import h5py
from pathlib import Path
from ffprobe import FFProbe
from tqdm import tqdm
import dateutil
import datetime
class Plotter:
def __init__(s... | plotter.py | import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
import numpy as np
import argparse
import cv2
import json
import h5py
from pathlib import Path
from ffprobe import FFProbe
from tqdm import tqdm
import dateutil
import datetime
class Plotter:
def __init__(s... | 0.682785 | 0.287499 |
from __future__ import print_function
from future.standard_library import install_aliases
install_aliases()
from urllib.parse import urlparse, urlencode
from urllib.request import urlopen, Request
from urllib.error import HTTPError
import json
import os
import wolframalpha
import wikipedia
import reques... | app.py | from __future__ import print_function
from future.standard_library import install_aliases
install_aliases()
from urllib.parse import urlparse, urlencode
from urllib.request import urlopen, Request
from urllib.error import HTTPError
import json
import os
import wolframalpha
import wikipedia
import reques... | 0.267695 | 0.041095 |
__version__ = '1.2.1'
import re
import os
import random
def upcase(string):
"""Returns a copy of `string` with all the alphabetic characters converted
to uppercase.
:param string: string to uppercase.
"""
return string.upper()
def downcase(string):
"""Returns a copy of `string` with all th... | stringhelpers/__init__.py | __version__ = '1.2.1'
import re
import os
import random
def upcase(string):
"""Returns a copy of `string` with all the alphabetic characters converted
to uppercase.
:param string: string to uppercase.
"""
return string.upper()
def downcase(string):
"""Returns a copy of `string` with all th... | 0.833325 | 0.655443 |
import collections
class Node(object):
def __init__(self, key):
self.parent = None
self.left = None
self.right = None
self.color = None
self.key = key
class NIL(object):
def __init__(self):
#NIL can be son of leafs in a red black tree
#NIL can be parent ... | red_black_tree.py | import collections
class Node(object):
def __init__(self, key):
self.parent = None
self.left = None
self.right = None
self.color = None
self.key = key
class NIL(object):
def __init__(self):
#NIL can be son of leafs in a red black tree
#NIL can be parent ... | 0.262842 | 0.329338 |
import json
import re
from pathlib import Path
from botoy import GroupMsg, S, jconfig, logger
from ..bot_Setu.database import getGroupConfig
from ..bot_Setu.model import GroupConfig
curFileDir = Path(__file__).absolute().parent # 当前文件路径
class CMD:
def __init__(self, ctx: GroupMsg):
self.ctx = ctx
... | plugins/bot_Setu_Cmd/command.py | import json
import re
from pathlib import Path
from botoy import GroupMsg, S, jconfig, logger
from ..bot_Setu.database import getGroupConfig
from ..bot_Setu.model import GroupConfig
curFileDir = Path(__file__).absolute().parent # 当前文件路径
class CMD:
def __init__(self, ctx: GroupMsg):
self.ctx = ctx
... | 0.153137 | 0.124692 |
import mock
import requests
from django.test import TestCase
from django.contrib.auth import get_user_model
from apps.newsletter.models import NewsletterSubscription
from django.conf import settings
from apps.newsletter.tasks import retry_mailing_list
User = get_user_model()
class CustomResponse:
def __init__(... | k8s/images/codalab/apps/newsletter/tests/test_newsletter_opt_in.py | import mock
import requests
from django.test import TestCase
from django.contrib.auth import get_user_model
from apps.newsletter.models import NewsletterSubscription
from django.conf import settings
from apps.newsletter.tasks import retry_mailing_list
User = get_user_model()
class CustomResponse:
def __init__(... | 0.484136 | 0.111386 |
from typing import Optional, Any, Dict, List
from recc.venv.pyvenv_cfg import read_site_packages_dir
from recc.blueprint.blueprint import BpProperty
from recc.vs.lamda_interface import REQUEST_METHOD_SET, REQUEST_METHOD_GET, Lamda
from recc.template.lamda_template import LamdaTemplate
from recc.template.property impor... | core/recc/vs/lamda_python.py |
from typing import Optional, Any, Dict, List
from recc.venv.pyvenv_cfg import read_site_packages_dir
from recc.blueprint.blueprint import BpProperty
from recc.vs.lamda_interface import REQUEST_METHOD_SET, REQUEST_METHOD_GET, Lamda
from recc.template.lamda_template import LamdaTemplate
from recc.template.property impor... | 0.563018 | 0.077832 |
import os
import operator
import csv
import sys
def all():
global time_requirement
global wrong_time
time_requirement = 0.35
#wrong_time = -83
wrong_time = -92
all()
filename_1 = sys.argv[1]
filename_2 = 'temp.log'
filename_3 = 'result.log'
filename_4 = 'inform.log'
filename_5 = 'inf.log'
with ope... | timing/sort-it-up.py | import os
import operator
import csv
import sys
def all():
global time_requirement
global wrong_time
time_requirement = 0.35
#wrong_time = -83
wrong_time = -92
all()
filename_1 = sys.argv[1]
filename_2 = 'temp.log'
filename_3 = 'result.log'
filename_4 = 'inform.log'
filename_5 = 'inf.log'
with ope... | 0.083694 | 0.086054 |
import graphene
from graphene_django import DjangoObjectType
from regdown import regdown
from wagtailregulations.models import EffectiveVersion, Part, Section, Subpart
from wagtailregulations.resolver import get_contents_resolver, get_url_resolver
class SectionType(DjangoObjectType):
class Meta:
model = S... | wagtailregulations/api/schema.py | import graphene
from graphene_django import DjangoObjectType
from regdown import regdown
from wagtailregulations.models import EffectiveVersion, Part, Section, Subpart
from wagtailregulations.resolver import get_contents_resolver, get_url_resolver
class SectionType(DjangoObjectType):
class Meta:
model = S... | 0.582135 | 0.183649 |
import numpy as np
import tensorflow as tf
from .Layer import Layer
class Conv2D(Layer):
def __init__(self,
input_dim=None,
kernel_size=(3, 3, 20),
strides=(1, 1),
padding='same',
initializer='glorot_uniform',
re... | tftf/layers/Conv2D.py | import numpy as np
import tensorflow as tf
from .Layer import Layer
class Conv2D(Layer):
def __init__(self,
input_dim=None,
kernel_size=(3, 3, 20),
strides=(1, 1),
padding='same',
initializer='glorot_uniform',
re... | 0.887229 | 0.436382 |
from planet import api
import os, sys, argparse, json
from datetime import datetime
client = api.ClientV1()
parser = argparse.ArgumentParser()
parser.add_argument('--site', help="name of location to query for, e.g. la, sf, nyc")
parser.add_argument('--geojson', help="geojson of location to query for, e.g. la.geojson... | inference_utils/get_planet_scenes.py | from planet import api
import os, sys, argparse, json
from datetime import datetime
client = api.ClientV1()
parser = argparse.ArgumentParser()
parser.add_argument('--site', help="name of location to query for, e.g. la, sf, nyc")
parser.add_argument('--geojson', help="geojson of location to query for, e.g. la.geojson... | 0.28587 | 0.178365 |
import pickle as pk
from collections import defaultdict
import random, warnings
from nltk import word_tokenize, pos_tag
# paraphrase data extracted from http://paraphrase.org/
# all functions with a * are originally taken from https://github.com/LittleYUYU/Interactive-Semantic-Parsing
TRIGGER_EXPRESS_TO_REMOVE = "thi... | joeynmt/user_simulator.py | import pickle as pk
from collections import defaultdict
import random, warnings
from nltk import word_tokenize, pos_tag
# paraphrase data extracted from http://paraphrase.org/
# all functions with a * are originally taken from https://github.com/LittleYUYU/Interactive-Semantic-Parsing
TRIGGER_EXPRESS_TO_REMOVE = "thi... | 0.553264 | 0.227598 |
import re
from unittest import mock
import pytest
import responses
from allauth.socialaccount.models import SocialAccount
from django.core.management import call_command
from django.urls import reverse
from apps.goals.factories import GoalFactory
from apps.reviews.factories import UserFactory, SelfReviewFactory, Revi... | tests/users_tests.py | import re
from unittest import mock
import pytest
import responses
from allauth.socialaccount.models import SocialAccount
from django.core.management import call_command
from django.urls import reverse
from apps.goals.factories import GoalFactory
from apps.reviews.factories import UserFactory, SelfReviewFactory, Revi... | 0.514644 | 0.342709 |
import re
n_steps = 5
# Validations
md_lim = 4 # Minimum count of the most label in a group to be valid
trash = {0, 9999} # Discarded labels
# Format is tsv (tab separated)
names = ["train.txt", "test.txt"]
LABELS = [
"jalan_DR", "jalan_UR", "jalan_DL", "jalan_UL",
"barang2_DR", "barang2_UR", "ba... | utilities/pose_group.py | import re
n_steps = 5
# Validations
md_lim = 4 # Minimum count of the most label in a group to be valid
trash = {0, 9999} # Discarded labels
# Format is tsv (tab separated)
names = ["train.txt", "test.txt"]
LABELS = [
"jalan_DR", "jalan_UR", "jalan_DL", "jalan_UL",
"barang2_DR", "barang2_UR", "ba... | 0.294925 | 0.345409 |
import os
import re
from re import finditer
import sys
from collections import namedtuple
self_path = os.path.dirname(os.path.abspath(__file__))
src_path = os.path.abspath(os.path.join(self_path, "../bq_websocket.c"))
RE_MUTEX_LOCK = re.compile(r"bqws_mutex_lock\((?:\(bqws_mutex\*\))?&ws->(\w+)\.mutex\);")
RE_MUTEX_... | test/verify_mutexes.py |
import os
import re
from re import finditer
import sys
from collections import namedtuple
self_path = os.path.dirname(os.path.abspath(__file__))
src_path = os.path.abspath(os.path.join(self_path, "../bq_websocket.c"))
RE_MUTEX_LOCK = re.compile(r"bqws_mutex_lock\((?:\(bqws_mutex\*\))?&ws->(\w+)\.mutex\);")
RE_MUTEX_... | 0.181227 | 0.179243 |
import iso8601
from urlparse import urlparse
from exceptions import *
class UrlSetElement(object):
loc = property(lambda self:self._loc)
lastmod = property(lambda self:self._lastmod)
changefreq = property(lambda self:self._changefreq)
priority = property(lambda self:self._priority)
def __init__(... | sitemap/urlsetelement.py | import iso8601
from urlparse import urlparse
from exceptions import *
class UrlSetElement(object):
loc = property(lambda self:self._loc)
lastmod = property(lambda self:self._lastmod)
changefreq = property(lambda self:self._changefreq)
priority = property(lambda self:self._priority)
def __init__(... | 0.551091 | 0.14439 |
from itertools import chain
from pathlib import Path
import tempfile
import typing
import attr
from altamisa.isatab import (
InvestigationInfo,
Study,
Assay,
InvestigationReader,
StudyReader,
AssayReader,
)
from logzero import logger
@attr.s(frozen=True, auto_attribs=True)
class IsaData:
... | cubi_tk/isa_support.py |
from itertools import chain
from pathlib import Path
import tempfile
import typing
import attr
from altamisa.isatab import (
InvestigationInfo,
Study,
Assay,
InvestigationReader,
StudyReader,
AssayReader,
)
from logzero import logger
@attr.s(frozen=True, auto_attribs=True)
class IsaData:
... | 0.712832 | 0.36676 |
import datetime
from datetime import datetime
# imports for discord api
import discord
from discord.ext import commands
from discord.ext.commands import has_permissions
from discord.ext.commands import CommandNotFound
from discord.ext import tasks
# extras
import asyncio
import requests
import json
import pytz
from p... | Src/main.py | import datetime
from datetime import datetime
# imports for discord api
import discord
from discord.ext import commands
from discord.ext.commands import has_permissions
from discord.ext.commands import CommandNotFound
from discord.ext import tasks
# extras
import asyncio
import requests
import json
import pytz
from p... | 0.220678 | 0.086246 |
import numpy as np
import torch
from torch import nn
import json
from tqdm import tqdm
import torch
from torch.utils.data import DataLoader
from torch.nn.utils.rnn import pad_sequence
from collections import OrderedDict
from typing import Tuple, Optional, Sequence
from ai2thor.controller import Controller
import o... | models/nn/action_model.py | import numpy as np
import torch
from torch import nn
import json
from tqdm import tqdm
import torch
from torch.utils.data import DataLoader
from torch.nn.utils.rnn import pad_sequence
from collections import OrderedDict
from typing import Tuple, Optional, Sequence
from ai2thor.controller import Controller
import o... | 0.772788 | 0.290566 |
from typing import cast
from logging import Logger
from logging import getLogger
from arcade import load_spritesheet
from pytrek.SoundMachine import SoundMachine
from pytrek.SoundMachine import SoundType
from pytrek.engine.ArcadePoint import ArcadePoint
from pytrek.gui.gamepieces.base.BaseEnemyTorpedo import BaseEn... | pytrek/mediators/CommanderTorpedoMediator.py | from typing import cast
from logging import Logger
from logging import getLogger
from arcade import load_spritesheet
from pytrek.SoundMachine import SoundMachine
from pytrek.SoundMachine import SoundType
from pytrek.engine.ArcadePoint import ArcadePoint
from pytrek.gui.gamepieces.base.BaseEnemyTorpedo import BaseEn... | 0.849504 | 0.233816 |
import os
from typing import Tuple, List
import numpy as np
import pandas as pd
from utils.plotting import create_chart, plot_different_metrics, plot_loss_comparison
from utils.typing import OptionAvgType, NetType
from positive_network.net_maker import get_trained_net_and_test_set as get_positive_net_and_test_set
fro... | analytics/analyzer.py | import os
from typing import Tuple, List
import numpy as np
import pandas as pd
from utils.plotting import create_chart, plot_different_metrics, plot_loss_comparison
from utils.typing import OptionAvgType, NetType
from positive_network.net_maker import get_trained_net_and_test_set as get_positive_net_and_test_set
fro... | 0.817283 | 0.354266 |
from bs4 import BeautifulSoup
from itertools import chain
import requests, os, sys
import orgs
import crawl_ops_open as crawl
import redis
reload(sys)
sys.setdefaultencoding('utf8')
url = os.getenv("REDISTOGO_URL", "redis://localhost:6379")
rserver = redis.from_url(url)
organizations = [ orgs.Toronto()
, o... | src/parse.py | from bs4 import BeautifulSoup
from itertools import chain
import requests, os, sys
import orgs
import crawl_ops_open as crawl
import redis
reload(sys)
sys.setdefaultencoding('utf8')
url = os.getenv("REDISTOGO_URL", "redis://localhost:6379")
rserver = redis.from_url(url)
organizations = [ orgs.Toronto()
, o... | 0.31059 | 0.123155 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'
}
# TODO add module information
DOCUMENTATION = '''
---
module: cloud_infra_by_tosca_create
short_description: Module ... | .ansible/plugins/modules/cloud/iac_tosca/cloud_infra_by_tosca_create.py |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'
}
# TODO add module information
DOCUMENTATION = '''
---
module: cloud_infra_by_tosca_create
short_description: Module ... | 0.373647 | 0.171928 |
from functools import singledispatch
import PIL
from PIL import Image
import numpy as np
from typing import List, Any
import os
import traceback
import zipfile
import io
import csv
import pandas
import tempfile
from singa_auto.datasets.dataset_base import ModelDataset, _load_pil_image
from singa_auto.error_code import ... | singa_auto/datasets/dataset.py | from functools import singledispatch
import PIL
from PIL import Image
import numpy as np
from typing import List, Any
import os
import traceback
import zipfile
import io
import csv
import pandas
import tempfile
from singa_auto.datasets.dataset_base import ModelDataset, _load_pil_image
from singa_auto.error_code import ... | 0.880412 | 0.516291 |
from testdata import FAMILYHISTORY_FILE
import argparse
import csv
class FamilyHistory:
"""Create instances of FamilyHistory and maintain FamilyHistory lists by patient ID"""
familyHistories = {} # Dictionary of FamilyHistory lists by patient ID
@classmethod
def load(cls):
"""Loads patient f... | bin/familyhistory.py | from testdata import FAMILYHISTORY_FILE
import argparse
import csv
class FamilyHistory:
"""Create instances of FamilyHistory and maintain FamilyHistory lists by patient ID"""
familyHistories = {} # Dictionary of FamilyHistory lists by patient ID
@classmethod
def load(cls):
"""Loads patient f... | 0.482185 | 0.180775 |
import os, sys
import os.path as osp
import cv2
import numpy as np
import json
import yaml
import open3d as o3d
import trimesh
import argparse
import matplotlib.pyplot as plt
sys.path.append('/home/yzhang/workspaces/smpl-env-gen-3d-internal')
import torch
import pickle
import smplx
from human_body_prior.tools.model_l... | utils/utils_prox_snapshots_realcam.py | import os, sys
import os.path as osp
import cv2
import numpy as np
import json
import yaml
import open3d as o3d
import trimesh
import argparse
import matplotlib.pyplot as plt
sys.path.append('/home/yzhang/workspaces/smpl-env-gen-3d-internal')
import torch
import pickle
import smplx
from human_body_prior.tools.model_l... | 0.237134 | 0.21099 |
import numpy as np
from mo.front.common.partial_infer.elemental import copy_shape_infer
from mo.graph.graph import Graph, Node
from mo.ops.op import Op
from mo.utils.error import Error
class MemoryOffset(Op):
op = 'MemoryOffset'
enabled = True
def __init__(self, graph: Graph, attrs: dict):
super... | model-optimizer/mo/ops/memoryoffset.py | import numpy as np
from mo.front.common.partial_infer.elemental import copy_shape_infer
from mo.graph.graph import Graph, Node
from mo.ops.op import Op
from mo.utils.error import Error
class MemoryOffset(Op):
op = 'MemoryOffset'
enabled = True
def __init__(self, graph: Graph, attrs: dict):
super... | 0.521471 | 0.242441 |
#libraries
import sys
import os
#my class
class Process:
__image="" #image name
__pid=0 #process id
__session_name="" #session_name
__session_num=0 #session_num
__mem_usage=0 #memory usage
#constructor
def __init__(self,image,p... | 2/classes/process.py |
#libraries
import sys
import os
#my class
class Process:
__image="" #image name
__pid=0 #process id
__session_name="" #session_name
__session_num=0 #session_num
__mem_usage=0 #memory usage
#constructor
def __init__(self,image,p... | 0.132739 | 0.041095 |
"""Tests for MMDMA algorithm in PyTorch."""
from absl import flags
from absl.testing import absltest
from lsmmdma.data import data_pipeline
from lsmmdma.metrics import Evaluation
import lsmmdma.mmdma_functions as mmdma_fn
import lsmmdma.train as mmdma_core
import numpy as np
import torch
flags.DEFINE_string('output_d... | tests/mmdma_test.py |
"""Tests for MMDMA algorithm in PyTorch."""
from absl import flags
from absl.testing import absltest
from lsmmdma.data import data_pipeline
from lsmmdma.metrics import Evaluation
import lsmmdma.mmdma_functions as mmdma_fn
import lsmmdma.train as mmdma_core
import numpy as np
import torch
flags.DEFINE_string('output_d... | 0.702224 | 0.517083 |
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from django.conf import settings
import pymongo
import os
import jsonschema
import uuid
import imghdr
from .schemas import swagger_schema
from . import permissions
from . import sequences
from .... | api_server/interview/room_views.py | from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from django.conf import settings
import pymongo
import os
import jsonschema
import uuid
import imghdr
from .schemas import swagger_schema
from . import permissions
from . import sequences
from .... | 0.461502 | 0.081191 |
#Import required
import sys
from os import *
import numpy as np
from cv2 import *
from hand_grabber import PyOpenNIHandGrabber
from pose_recognizer import PyPoseRecognizer
import xml.etree.ElementTree as ET
import Image
from random import *
import time
from my_fun import *
from sklearn.externals import joblib
from han... | prensilia/Exp_INPUT.py |
#Import required
import sys
from os import *
import numpy as np
from cv2 import *
from hand_grabber import PyOpenNIHandGrabber
from pose_recognizer import PyPoseRecognizer
import xml.etree.ElementTree as ET
import Image
from random import *
import time
from my_fun import *
from sklearn.externals import joblib
from han... | 0.200245 | 0.121087 |
import requests
# Vuln Base Info
def info():
return {
"author": "cckuailong",
"name": '''Drupal SQL Injection''',
"description": '''The expandArguments function in the database abstraction API in Drupal core 7.x before 7.32 does not properly construct prepared statements, which allows remo... | 2014/CVE-2014-3704/poc/pocsploit/CVE-2014-3704.py | import requests
# Vuln Base Info
def info():
return {
"author": "cckuailong",
"name": '''Drupal SQL Injection''',
"description": '''The expandArguments function in the database abstraction API in Drupal core 7.x before 7.32 does not properly construct prepared statements, which allows remo... | 0.325306 | 0.316396 |
from kissim.viewer.base import _BaseViewer
class StructureViewer(_BaseViewer):
"""
View a structure's fingerprint in 3D.
Attributes
----------
Inherited from kissim.viewer.base._BaseViewer
"""
@classmethod
def from_structure_klifs_id(cls, structure_klifs_id, klifs_session=None):
... | kissim/viewer/structure.py | from kissim.viewer.base import _BaseViewer
class StructureViewer(_BaseViewer):
"""
View a structure's fingerprint in 3D.
Attributes
----------
Inherited from kissim.viewer.base._BaseViewer
"""
@classmethod
def from_structure_klifs_id(cls, structure_klifs_id, klifs_session=None):
... | 0.906135 | 0.356587 |
import uuid
from django.contrib.contenttypes.fields import GenericRelation
from django.db import models
from django.utils.timezone import localtime
from django.contrib import admin
class Category(models.Model):
cat = models.CharField(max_length=50)
def __str__(self):
return self.cat
class Post(mod... | posts/models.py | import uuid
from django.contrib.contenttypes.fields import GenericRelation
from django.db import models
from django.utils.timezone import localtime
from django.contrib import admin
class Category(models.Model):
cat = models.CharField(max_length=50)
def __str__(self):
return self.cat
class Post(mod... | 0.417034 | 0.134947 |
from iotSocketStruct import IoTSocketStruct
from secrets import randbelow, token_bytes
from _thread import allocate_lock
from binascii import hexlify, unhexlify
from threading import Timer
from time import time
from datetime import datetime
import hmac
import... | iotSocketRouter.py | from iotSocketStruct import IoTSocketStruct
from secrets import randbelow, token_bytes
from _thread import allocate_lock
from binascii import hexlify, unhexlify
from threading import Timer
from time import time
from datetime import datetime
import hmac
import... | 0.347205 | 0.069605 |
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtGui import QPainterPath, QPainterPath, QPainter, QPolygonF, QPen
from PyQt5.QtWidgets import QGraphicsItem
import numpy as np
class Contour(QtWidgets.QGraphicsItem):
def __init__(self, line_color = QtGui.QColor(0, 6, 255),
select_line_color =... | app/contour.py | from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtGui import QPainterPath, QPainterPath, QPainter, QPolygonF, QPen
from PyQt5.QtWidgets import QGraphicsItem
import numpy as np
class Contour(QtWidgets.QGraphicsItem):
def __init__(self, line_color = QtGui.QColor(0, 6, 255),
select_line_color =... | 0.489503 | 0.137128 |
import hashlib
from django.conf import settings
from django.core.mail import get_connection, EmailMultiAlternatives
from django.template.loader import render_to_string
from django import http
from django.contrib.sites.models import Site
from django.contrib.contenttypes.models import ContentType
from unobase.email_tra... | unobase/utils.py | import hashlib
from django.conf import settings
from django.core.mail import get_connection, EmailMultiAlternatives
from django.template.loader import render_to_string
from django import http
from django.contrib.sites.models import Site
from django.contrib.contenttypes.models import ContentType
from unobase.email_tra... | 0.331012 | 0.075721 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | web/src/test/python/bmservice_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_in... | 0.213787 | 0.120387 |
import torch
import torchvision
import numpy as np
from PIL import Image
import os
from tqdm import tqdm
import cv2
class ImageDataset(torch.utils.data.Dataset):
def __init__(self, path='./dataset/images/', transform=torchvision.transforms.ToTensor()):
self.path = path
self.files = [path+i for i in os.listdir(pat... | autoencoder.py | import torch
import torchvision
import numpy as np
from PIL import Image
import os
from tqdm import tqdm
import cv2
class ImageDataset(torch.utils.data.Dataset):
def __init__(self, path='./dataset/images/', transform=torchvision.transforms.ToTensor()):
self.path = path
self.files = [path+i for i in os.listdir(pat... | 0.77081 | 0.405037 |
from stock import PCLASS, MAIN
import re, sys
from emitter import Emitter
class GrammarObj(object):
def __str__(self):
return self.name
def __repr__(self):
s = self.name + '['
for k,v in self.attrs:
s += "{}:{}, ".format(k,v)
s += ']'
return s
def __init_... | pygll.py | from stock import PCLASS, MAIN
import re, sys
from emitter import Emitter
class GrammarObj(object):
def __str__(self):
return self.name
def __repr__(self):
s = self.name + '['
for k,v in self.attrs:
s += "{}:{}, ".format(k,v)
s += ']'
return s
def __init_... | 0.241668 | 0.109515 |
import math
x = 0.112861
print(type(x)) # float
# complex son deb kvadrat ildiz ostidagi -1 son olinadi
# complex sonlar "j" bilan yoziladi
y = 10+5j
print(type(y))
print(y)
# type conversion (data typni o`zgartirish)
# convert from int to float
a = 10; # x is integer
b = float(a) # we are... | 1. To`liq darsliklar/4-dars_matem&sonlar/4-dars_matem&sonlar.py | import math
x = 0.112861
print(type(x)) # float
# complex son deb kvadrat ildiz ostidagi -1 son olinadi
# complex sonlar "j" bilan yoziladi
y = 10+5j
print(type(y))
print(y)
# type conversion (data typni o`zgartirish)
# convert from int to float
a = 10; # x is integer
b = float(a) # we are... | 0.293404 | 0.386387 |
import numpy as np
import matplotlib.pyplot as plt
def readfile(name):
f = open(name)
i = 0
vals = []
for line in f:
i += 1
if i > 1000000:
break
lineData = line.rstrip().lstrip().split(" ")
left = int(lineData[0])
right = int(lineData[1])
... | tasks/task3/3_4.py | import numpy as np
import matplotlib.pyplot as plt
def readfile(name):
f = open(name)
i = 0
vals = []
for line in f:
i += 1
if i > 1000000:
break
lineData = line.rstrip().lstrip().split(" ")
left = int(lineData[0])
right = int(lineData[1])
... | 0.538255 | 0.694749 |
import numpy as np
from scipy.stats import norm
def mean_metal_z(z):
"""
Mean (mass-weighted) metallicity as a function of redshift
From Madau & Fragos 2017, courtesy of <NAME>
Parameters
----------
z : `float or numpy.array`
redshift
Returns
-------
Z : `float or numpy.... | cosmic-data/sfh.py |
import numpy as np
from scipy.stats import norm
def mean_metal_z(z):
"""
Mean (mass-weighted) metallicity as a function of redshift
From Madau & Fragos 2017, courtesy of <NAME>
Parameters
----------
z : `float or numpy.array`
redshift
Returns
-------
Z : `float or numpy.... | 0.953654 | 0.767036 |
# pragma pylint: disable=unused-import
from __future__ import absolute_import, division, print_function, unicode_literals
from builtins import (
bytes,
dict,
int,
list,
object,
range,
str,
ascii,
chr,
hex,
input,
next,
oct,
open,
pow,
round,
super,
... | PIconnect/_operators.py | # pragma pylint: disable=unused-import
from __future__ import absolute_import, division, print_function, unicode_literals
from builtins import (
bytes,
dict,
int,
list,
object,
range,
str,
ascii,
chr,
hex,
input,
next,
oct,
open,
pow,
round,
super,
... | 0.747247 | 0.380586 |
import re # noqa: F401
from xero_python.models import BaseModel
class SuperannuationLine(BaseModel):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is at... | venv/Lib/site-packages/xero_python/payrollnz/models/superannuation_line.py | import re # noqa: F401
from xero_python.models import BaseModel
class SuperannuationLine(BaseModel):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is at... | 0.783658 | 0.159938 |
import pygame
from tools.loader import TIMER, BACK, putLargeNum
from tools.utils import rounded_rect
# This shows the initial prompt message
def start(win, load):
rounded_rect(win, (255, 255, 255), (120, 180, 260, 100), 10, 4)
win.blit(TIMER.PROMPT, (150, 190))
win.blit(TIMER.YES, (145, 240))... | menus/timer.py | import pygame
from tools.loader import TIMER, BACK, putLargeNum
from tools.utils import rounded_rect
# This shows the initial prompt message
def start(win, load):
rounded_rect(win, (255, 255, 255), (120, 180, 260, 100), 10, 4)
win.blit(TIMER.PROMPT, (150, 190))
win.blit(TIMER.YES, (145, 240))... | 0.154759 | 0.18429 |
from enactment import *
acceptable_pose_sources = ['IK', 'sensor']
def main():
global acceptable_pose_sources
params = get_command_line_params() # Collect parameters
if params['helpme'] or len(params['enactments']) == 0 or params['pose-source'] not in acceptable_pose_sources:
usage()
return
for enac... | Action_Recognition/1_Process_Enactments/extract_hand_poses.py | from enactment import *
acceptable_pose_sources = ['IK', 'sensor']
def main():
global acceptable_pose_sources
params = get_command_line_params() # Collect parameters
if params['helpme'] or len(params['enactments']) == 0 or params['pose-source'] not in acceptable_pose_sources:
usage()
return
for enac... | 0.191101 | 0.109396 |
import mock
from rally.common import costilius
from rally import exceptions
from tests.unit import test
PATH = "rally.common.costilius"
class SPCheckCallTestCase(test.TestCase):
@mock.patch("%s.subprocess" % PATH)
@mock.patch("%s.is_py26" % PATH, return_value=True)
def test_simulation_of_py26_env(sel... | tests/unit/common/test_costilius.py |
import mock
from rally.common import costilius
from rally import exceptions
from tests.unit import test
PATH = "rally.common.costilius"
class SPCheckCallTestCase(test.TestCase):
@mock.patch("%s.subprocess" % PATH)
@mock.patch("%s.is_py26" % PATH, return_value=True)
def test_simulation_of_py26_env(sel... | 0.596668 | 0.320555 |
import logging
from boto3 import client
from botocore.exceptions import ClientError
from sagemaker import Session
from sagemaker.deserializers import JSONDeserializer
from sagemaker.serializers import JSONSerializer
from sagemaker.session import _wait_until, _deploy_done
from sagemaker.sklearn import SKLearnModel, SKL... | sagemaker/ModConversion/trader/train_and_deploy_ModConversion_trader.py | import logging
from boto3 import client
from botocore.exceptions import ClientError
from sagemaker import Session
from sagemaker.deserializers import JSONDeserializer
from sagemaker.serializers import JSONSerializer
from sagemaker.session import _wait_until, _deploy_done
from sagemaker.sklearn import SKLearnModel, SKL... | 0.339718 | 0.128307 |
import filecmp
import os
import tempfile
import pytest
import modelkit.assets.cli
from modelkit.assets.manager import AssetsManager, _success_file_path
from modelkit.assets.remote import StorageProvider
from tests.conftest import skip_unless
test_path = os.path.dirname(os.path.realpath(__file__))
def _perform_mng_... | tests/assets/test_assetsmanager.py | import filecmp
import os
import tempfile
import pytest
import modelkit.assets.cli
from modelkit.assets.manager import AssetsManager, _success_file_path
from modelkit.assets.remote import StorageProvider
from tests.conftest import skip_unless
test_path = os.path.dirname(os.path.realpath(__file__))
def _perform_mng_... | 0.458591 | 0.373847 |
import bpy
from .utils import *
class NodeOSCMsgValues(bpy.types.PropertyGroup):
#key_path = bpy.props.StringProperty(name="Key", default="Unknown")
osc_address: bpy.props.StringProperty(name="OSC Address", default="/custom")
osc_type: bpy.props.StringProperty(name="Type", default="f")
... | addons/blender.NodeOSC/utils/keys.py | import bpy
from .utils import *
class NodeOSCMsgValues(bpy.types.PropertyGroup):
#key_path = bpy.props.StringProperty(name="Key", default="Unknown")
osc_address: bpy.props.StringProperty(name="OSC Address", default="/custom")
osc_type: bpy.props.StringProperty(name="Type", default="f")
... | 0.384565 | 0.24451 |
__name__ = ["utils"]
##################################################################
#
# lists and collections utility functions:
#
#
def is_item_list( item ):
return ( isinstance(item, list) or \
isinstance(item, tuple) )
def is_item_in_sub_lists( list_, item )... | old/utils.py | __name__ = ["utils"]
##################################################################
#
# lists and collections utility functions:
#
#
def is_item_list( item ):
return ( isinstance(item, list) or \
isinstance(item, tuple) )
def is_item_in_sub_lists( list_, item )... | 0.166167 | 0.112942 |
MIN_KEYS = 2
MAX_KEYS = MIN_KEYS*2 + 1
class Node(object):
def __init__(self):
self.n = 0
self.keys = [None] * MAX_KEYS
self.children = [None] * (MAX_KEYS + 1)
def is_leaf(self):
return self.children[0] is None
def is_full(self):
return self.n >= MAX_KEYS
def ... | btree.py | MIN_KEYS = 2
MAX_KEYS = MIN_KEYS*2 + 1
class Node(object):
def __init__(self):
self.n = 0
self.keys = [None] * MAX_KEYS
self.children = [None] * (MAX_KEYS + 1)
def is_leaf(self):
return self.children[0] is None
def is_full(self):
return self.n >= MAX_KEYS
def ... | 0.264738 | 0.317188 |
from .optaplanner_java_interop import ensure_init, _add_shallow_copy_to_class, _generate_planning_entity_class, \
_generate_problem_fact_class, _generate_planning_solution_class, _generate_constraint_provider_class, get_class
from jpype import JImplements, JOverride
from typing import Union, List, Callable, Type, A... | optapy-core/src/main/python/annotations.py | from .optaplanner_java_interop import ensure_init, _add_shallow_copy_to_class, _generate_planning_entity_class, \
_generate_problem_fact_class, _generate_planning_solution_class, _generate_constraint_provider_class, get_class
from jpype import JImplements, JOverride
from typing import Union, List, Callable, Type, A... | 0.891528 | 0.51812 |
import logging
from mozinor.preprocess.settings import logger
from mozinor.preprocess.reader.read import readFile, GetX_Y
from mozinor.preprocess.transformer.regex import formatCols
from mozinor.preprocess.transformer.fill import FillNaN
from mozinor.preprocess.transformer.dummy import Dummify
from mozinor.preprocess.... | mozinor/preprocess/processing.py | import logging
from mozinor.preprocess.settings import logger
from mozinor.preprocess.reader.read import readFile, GetX_Y
from mozinor.preprocess.transformer.regex import formatCols
from mozinor.preprocess.transformer.fill import FillNaN
from mozinor.preprocess.transformer.dummy import Dummify
from mozinor.preprocess.... | 0.551815 | 0.36424 |
import unittest
from cloudbridge.base import helpers as cb_helpers
from cloudbridge.interfaces.exceptions import InvalidParamException
class BaseHelpersTestCase(unittest.TestCase):
_multiprocess_can_split_ = True
def test_cleanup_action_body_has_no_exception(self):
invoke_order = [""]
def ... | tests/test_base_helpers.py | import unittest
from cloudbridge.base import helpers as cb_helpers
from cloudbridge.interfaces.exceptions import InvalidParamException
class BaseHelpersTestCase(unittest.TestCase):
_multiprocess_can_split_ = True
def test_cleanup_action_body_has_no_exception(self):
invoke_order = [""]
def ... | 0.453504 | 0.314524 |
from keras.preprocessing.sequence import pad_sequences
from keras.callbacks import EarlyStopping
import keras.backend as K
from keras.layers import Input, Embedding, LSTM, Merge
from keras.models import Model
from keras.optimizers import Adadelta
import src.util.csv as csv
import src.longest_question as longest_questio... | src/models/siamese_manhatten_lstm.py | from keras.preprocessing.sequence import pad_sequences
from keras.callbacks import EarlyStopping
import keras.backend as K
from keras.layers import Input, Embedding, LSTM, Merge
from keras.models import Model
from keras.optimizers import Adadelta
import src.util.csv as csv
import src.longest_question as longest_questio... | 0.910441 | 0.541954 |
## Author: <NAME> (Duke University)
import gensim.corpora as corpora
from gensim.models import CoherenceModel
import sys
def train_HDPmodel(hdp, word_list, mcmc_iter, burn_in=100, quiet=False):
'''Wrapper function to train tomotopy HDP Model object
*** Inputs**
hdp: obj -> initialized HDPModel model... | hdp_example/scripts/model_funcs.py |
## Author: <NAME> (Duke University)
import gensim.corpora as corpora
from gensim.models import CoherenceModel
import sys
def train_HDPmodel(hdp, word_list, mcmc_iter, burn_in=100, quiet=False):
'''Wrapper function to train tomotopy HDP Model object
*** Inputs**
hdp: obj -> initialized HDPModel model... | 0.486819 | 0.47792 |
from customer.models import Customer, CustomerProfile, DeliveryAddress
from deliveryservice.models import DeliveryServicer, DeliveryServicerProfile
from order.models import Order, OrderItem
from products.models import Category, Offer, Product
from django.contrib.auth.models import User
from .models import JoinCode, Sho... | grocery/shopowner/serializers.py | from customer.models import Customer, CustomerProfile, DeliveryAddress
from deliveryservice.models import DeliveryServicer, DeliveryServicerProfile
from order.models import Order, OrderItem
from products.models import Category, Offer, Product
from django.contrib.auth.models import User
from .models import JoinCode, Sho... | 0.624179 | 0.099339 |
import abc
import json
import os
import six
import yaml
from halo import halo
from gradient import api_sdk
from gradient.cli_constants import CLI_PS_CLIENT_NAME
from gradient.exceptions import ApplicationError
from gradient.commands.common import BaseCommand, ListCommandMixin, DetailsCommandMixin, LogsCommandMixin
... | gradient/commands/workflows.py | import abc
import json
import os
import six
import yaml
from halo import halo
from gradient import api_sdk
from gradient.cli_constants import CLI_PS_CLIENT_NAME
from gradient.exceptions import ApplicationError
from gradient.commands.common import BaseCommand, ListCommandMixin, DetailsCommandMixin, LogsCommandMixin
... | 0.393385 | 0.065995 |
from django.contrib import admin
from gdm.models.tree import Person, Family
from gdm.models.timeline import Activity, EventType, Event
class PersonAdmin(admin.ModelAdmin):
date_hierarchy = 'created'
list_filter = ('gender', 'searchable')
search_fields = [
'given_names', 'family_name', 'display_nam... | source/gdm/admin.py | from django.contrib import admin
from gdm.models.tree import Person, Family
from gdm.models.timeline import Activity, EventType, Event
class PersonAdmin(admin.ModelAdmin):
date_hierarchy = 'created'
list_filter = ('gender', 'searchable')
search_fields = [
'given_names', 'family_name', 'display_nam... | 0.408985 | 0.199269 |