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 |
|---|---|---|---|---|
from typing import List
from typing import Optional
from pydantic import BaseModel
class GroupJoinTime(BaseModel):
user_id: int
join_time: float
class GroupLastRead(BaseModel):
user_id: int
last_read: float
class GroupUsers(BaseModel):
group_id: str
owner_id: int
user_count: int
u... | dinofw/rest/models.py | from typing import List
from typing import Optional
from pydantic import BaseModel
class GroupJoinTime(BaseModel):
user_id: int
join_time: float
class GroupLastRead(BaseModel):
user_id: int
last_read: float
class GroupUsers(BaseModel):
group_id: str
owner_id: int
user_count: int
u... | 0.760295 | 0.435541 |
import os
import six
import codecs
import random
import collections
import tensorflow as tf
import PlatformNlp.tokenization as tokenization
from PlatformNlp.data.base_dataset import BaseDataset
from PlatformNlp.data import register_dataset
class InputExample(object):
"""A single training/test example for word2v... | src/nlp/PlatformNlp/data/word2vec_dataset.py |
import os
import six
import codecs
import random
import collections
import tensorflow as tf
import PlatformNlp.tokenization as tokenization
from PlatformNlp.data.base_dataset import BaseDataset
from PlatformNlp.data import register_dataset
class InputExample(object):
"""A single training/test example for word2v... | 0.7917 | 0.454896 |
from auth_api.services import Affidavit as AffidavitService
from auth_api.models import Task as TaskModel
from auth_api.services import Org as OrgService
from auth_api.services import Task as TaskService
from auth_api.utils.enums import AffidavitStatus, LoginSource, OrgStatus, TaskStatus, TaskAction, TaskRelationshipSt... | auth-api/tests/unit/services/test_affidavit.py | from auth_api.services import Affidavit as AffidavitService
from auth_api.models import Task as TaskModel
from auth_api.services import Org as OrgService
from auth_api.services import Task as TaskService
from auth_api.utils.enums import AffidavitStatus, LoginSource, OrgStatus, TaskStatus, TaskAction, TaskRelationshipSt... | 0.564459 | 0.303551 |
import time
import cv2 as cv
import argparse
import numpy as np
# Import OpenVINO Inference Engine
from openvino.inference_engine import IECore, IENetwork
global arguments
def crop_frame(frame, coordinate, normalized=True):
"""
Crop Frame as Given Coordinates
:param frame:
:param coordinate:
:p... | openvino_face_detection.py |
import time
import cv2 as cv
import argparse
import numpy as np
# Import OpenVINO Inference Engine
from openvino.inference_engine import IECore, IENetwork
global arguments
def crop_frame(frame, coordinate, normalized=True):
"""
Crop Frame as Given Coordinates
:param frame:
:param coordinate:
:p... | 0.736495 | 0.475971 |
import numpy as np
import torch
import torch.nn as nn
from gnn_model import MPNN
import torch.nn.functional as F
import torch.optim as optim
import torch.distributions as distributions
class Policy(nn.Module):
def __init__(self, feature_size, t, readout_units):
super(Policy, self).__init__()
self.... | actor_critic.py | import numpy as np
import torch
import torch.nn as nn
from gnn_model import MPNN
import torch.nn.functional as F
import torch.optim as optim
import torch.distributions as distributions
class Policy(nn.Module):
def __init__(self, feature_size, t, readout_units):
super(Policy, self).__init__()
self.... | 0.898689 | 0.371536 |
import logging
import logging.handlers
import subprocess
import sys
import pytimeparse
PRESET_DURATIONS = ['30m', '1h30m', '3h', '24h']
UNSUSPEND_SCREENLOCK_UNIT = 'unsuspend-screenlock'
_LOG_FMT = '%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s'
def _init_logger():
logger = logging.getLogger(... | .my_scripts/desktop_env/suspend-screenlock/suspend-screenlock.py |
import logging
import logging.handlers
import subprocess
import sys
import pytimeparse
PRESET_DURATIONS = ['30m', '1h30m', '3h', '24h']
UNSUSPEND_SCREENLOCK_UNIT = 'unsuspend-screenlock'
_LOG_FMT = '%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s'
def _init_logger():
logger = logging.getLogger(... | 0.286269 | 0.05572 |
import torch
import torch.nn as nn
import torchvision.transforms as transforms
from torchvision.utils import save_image
from utils.CUBDataset import CUBDataset, image_dim
from utils.CUBDataset_with_related_captions import CUBDataset_With_Related_Captions
from utils.CUBDataset_with_related_captions import image_dim as r... | train.py | import torch
import torch.nn as nn
import torchvision.transforms as transforms
from torchvision.utils import save_image
from utils.CUBDataset import CUBDataset, image_dim
from utils.CUBDataset_with_related_captions import CUBDataset_With_Related_Captions
from utils.CUBDataset_with_related_captions import image_dim as r... | 0.664323 | 0.646934 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import logging
import numpy as np
import unittest
import shutil
from reference_models.tools import testutils
from reference_models.geo import terrain
TEST_DIR = os.path.join(os.path.dirname(__file_... | src/harness/reference_models/geo/terrain_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import logging
import numpy as np
import unittest
import shutil
from reference_models.tools import testutils
from reference_models.geo import terrain
TEST_DIR = os.path.join(os.path.dirname(__file_... | 0.668556 | 0.519278 |
import six
from cinder import context
from cinder import exception
from cinder import utils
from cinder.i18n import _, _LI
from cinder.openstack.common import fileutils
from cinder.volume.drivers.fujitsu import eternus_dx_iscsi
from cinder.volume.drivers.fujitsu2onest import eternus_dx_common
from oslo_utils import exc... | cinder/volume/drivers/fujitsu2onest/eternus_dx_iscsi.py | import six
from cinder import context
from cinder import exception
from cinder import utils
from cinder.i18n import _, _LI
from cinder.openstack.common import fileutils
from cinder.volume.drivers.fujitsu import eternus_dx_iscsi
from cinder.volume.drivers.fujitsu2onest import eternus_dx_common
from oslo_utils import exc... | 0.390127 | 0.142888 |
class Node:
def __init__(self, data = None, next = None):
self.data = data
self.next = next
class LinkedList:
def __init__(self, head = None):
self.head = head
def add_last(self, new_data):
if self.head is None:
self.head = Node(new_data)
else:
current = self.head
wh... | main.py/lab10.py |
class Node:
def __init__(self, data = None, next = None):
self.data = data
self.next = next
class LinkedList:
def __init__(self, head = None):
self.head = head
def add_last(self, new_data):
if self.head is None:
self.head = Node(new_data)
else:
current = self.head
wh... | 0.398524 | 0.175397 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0019_auto_20190617_0141'),
]
operations = [
migrations.CreateModel(
name='ClassTemp',
fields=[
('id', models.AutoField(auto_created=True, pri... | api/migrations/0020_classtemp.py |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0019_auto_20190617_0141'),
]
operations = [
migrations.CreateModel(
name='ClassTemp',
fields=[
('id', models.AutoField(auto_created=True, pri... | 0.605799 | 0.275532 |
import os
import requests
import logging
import yaml
from functools import reduce
from typing import Any, Optional, Union
logger = logging.getLogger(__name__)
class IncConfig:
def __init__(self, config_path: str):
"""
Args:
config_path (:obj:`str`):
Path to the YAML... | src/optimum/intel/neural_compressor/config.py |
import os
import requests
import logging
import yaml
from functools import reduce
from typing import Any, Optional, Union
logger = logging.getLogger(__name__)
class IncConfig:
def __init__(self, config_path: str):
"""
Args:
config_path (:obj:`str`):
Path to the YAML... | 0.818302 | 0.100967 |
import datetime
import pymysql.cursors
from app_head import get_head
from app_body import get_body
from app_page import set_page
from sa_func import get_hash_string
from app_cookie import set_sa_cookie
from sa_db import sa_db_access
ACCESS_OBJ = sa_db_access()
DB_USR = ACCESS_OBJ.username()
DB_PWD = ACCESS_OBJ.password... | app_login.py | import datetime
import pymysql.cursors
from app_head import get_head
from app_body import get_body
from app_page import set_page
from sa_func import get_hash_string
from app_cookie import set_sa_cookie
from sa_db import sa_db_access
ACCESS_OBJ = sa_db_access()
DB_USR = ACCESS_OBJ.username()
DB_PWD = ACCESS_OBJ.password... | 0.187244 | 0.04195 |
from datetime import datetime
from documenters_aggregator.spider import Spider
class Chi_schoolsSpider(Spider):
name = 'chi_schools'
long_name = 'Chicago Public Schools Board of Education'
allowed_domains = ['www.cpsboe.org']
start_urls = ['http://www.cpsboe.org/meetings/planning-calendar']
domai... | documenters_aggregator/spiders/chi_schools.py | from datetime import datetime
from documenters_aggregator.spider import Spider
class Chi_schoolsSpider(Spider):
name = 'chi_schools'
long_name = 'Chicago Public Schools Board of Education'
allowed_domains = ['www.cpsboe.org']
start_urls = ['http://www.cpsboe.org/meetings/planning-calendar']
domai... | 0.387922 | 0.240011 |
import clr, sys
clr.AddReference('ZyGames.Framework.Common');
clr.AddReference('ZyGames.Framework');
clr.AddReference('ZyGames.Framework.Game');
clr.AddReference('ZyGames.Tianjiexing.Model');
clr.AddReference('ZyGames.Tianjiexing.BLL');
clr.AddReference('ZyGames.Tianjiexing.Lang');
clr.AddReference('ZyGames.Tia... | Sample/Koudai/Server/release/Script/PyScript/Action/action1402.py | import clr, sys
clr.AddReference('ZyGames.Framework.Common');
clr.AddReference('ZyGames.Framework');
clr.AddReference('ZyGames.Framework.Game');
clr.AddReference('ZyGames.Tianjiexing.Model');
clr.AddReference('ZyGames.Tianjiexing.BLL');
clr.AddReference('ZyGames.Tianjiexing.Lang');
clr.AddReference('ZyGames.Tia... | 0.297266 | 0.049382 |
from bs4 import BeautifulSoup
from ..utils import list_get
import json
import logging
import re
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(message)s',
level=logging.INFO
)
def html_script(text):
regex = (
r"key:\s*'ds:\d+',\s*isError:\s*false\s*,\s*hash:\s*'\d+',\s*data:"
... | gpscraper/parsers/details.py | from bs4 import BeautifulSoup
from ..utils import list_get
import json
import logging
import re
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(message)s',
level=logging.INFO
)
def html_script(text):
regex = (
r"key:\s*'ds:\d+',\s*isError:\s*false\s*,\s*hash:\s*'\d+',\s*data:"
... | 0.437824 | 0.164349 |
import shm
import numpy as np
from auv_math import quat
from control import vehicle
from control.thrusters import thrusters
from control.util import DOFSet
class ThrusterManager(object):
"""
Thruster Manager is an aide to the controller and simulator for
handling thrusters and other control related... | control/thruster_manager.py | import shm
import numpy as np
from auv_math import quat
from control import vehicle
from control.thrusters import thrusters
from control.util import DOFSet
class ThrusterManager(object):
"""
Thruster Manager is an aide to the controller and simulator for
handling thrusters and other control related... | 0.763043 | 0.566858 |
from torch.utils.data import Subset
from sklearn.model_selection import train_test_split
import json
import cv2
import numpy as np
import random
def tensor_imwrite(img, name):
temp = np.transpose(img.cpu().numpy(), (1, 2, 0))
temp = (temp * 255).astype(np.uint8)
cv2.imwrite(name, temp)
def numpy_imwrite(i... | common/utills.py | from torch.utils.data import Subset
from sklearn.model_selection import train_test_split
import json
import cv2
import numpy as np
import random
def tensor_imwrite(img, name):
temp = np.transpose(img.cpu().numpy(), (1, 2, 0))
temp = (temp * 255).astype(np.uint8)
cv2.imwrite(name, temp)
def numpy_imwrite(i... | 0.357792 | 0.317836 |
import os.path
# Set to False for Production!!!
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('<NAME>', '<EMAIL>'),
)
MANAGERS = ADMINS
DATABASE_ENGINE = 'mysql' # 'postgresql', 'mysql', 'sqlite3' or 'ado_mssql'.
DATABASE_NAME = 'synopsis' # Or path to database file if using sqlite3.
... | prod_settings.py | import os.path
# Set to False for Production!!!
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('<NAME>', '<EMAIL>'),
)
MANAGERS = ADMINS
DATABASE_ENGINE = 'mysql' # 'postgresql', 'mysql', 'sqlite3' or 'ado_mssql'.
DATABASE_NAME = 'synopsis' # Or path to database file if using sqlite3.
... | 0.380759 | 0.061933 |
import pyspark.sql as psql
from seldonite import filters
from seldonite.commoncrawl.sparkcc import CCSparkJob
from seldonite.helpers import utils, heuristics
class FetchNewsJob(CCSparkJob):
""" News articles from from texts in Common Crawl WET files"""
name = "FetchNewsJob"
def run(self, spark_manager,... | seldonite/commoncrawl/fetch_news.py | import pyspark.sql as psql
from seldonite import filters
from seldonite.commoncrawl.sparkcc import CCSparkJob
from seldonite.helpers import utils, heuristics
class FetchNewsJob(CCSparkJob):
""" News articles from from texts in Common Crawl WET files"""
name = "FetchNewsJob"
def run(self, spark_manager,... | 0.410874 | 0.250873 |
from abc import abstractmethod
from datetime import datetime
from typing import Optional
from fhir_types import FHIR_AllergyIntolerance
from proto.google.fhir.proto.r4.core.resources import allergy_intolerance_pb2
from ..utils import (
convert_proto_date_time,
ensure_non_null_date,
parse_iso_datetime,
... | src/fhir_helpers/resources/allergy_intolerance.py | from abc import abstractmethod
from datetime import datetime
from typing import Optional
from fhir_types import FHIR_AllergyIntolerance
from proto.google.fhir.proto.r4.core.resources import allergy_intolerance_pb2
from ..utils import (
convert_proto_date_time,
ensure_non_null_date,
parse_iso_datetime,
... | 0.888354 | 0.224162 |
from django.db import models
from django.contrib.auth.models import *
from django.contrib.sites.models import Site
from django.utils.translation import ugettext_lazy as _
from django import forms
import os, logging
import shutil
def uniqify(seq):
# Not order preserving
keys = {}
for e in seq:
ke... | samba/models.py | from django.db import models
from django.contrib.auth.models import *
from django.contrib.sites.models import Site
from django.utils.translation import ugettext_lazy as _
from django import forms
import os, logging
import shutil
def uniqify(seq):
# Not order preserving
keys = {}
for e in seq:
ke... | 0.233444 | 0.084644 |
from datetime import datetime
import mysql.connector
from ccxt import NetworkError
from scripts.file_reader import read_sql_information
import json
from scripts.initialize_exchange import initialize_exchange
class Trawler:
"""
Handles api calls to the cryptocurrency servers and writes ticker informa... | arbitrage/trawler.py | from datetime import datetime
import mysql.connector
from ccxt import NetworkError
from scripts.file_reader import read_sql_information
import json
from scripts.initialize_exchange import initialize_exchange
class Trawler:
"""
Handles api calls to the cryptocurrency servers and writes ticker informa... | 0.482429 | 0.143698 |
import asyncio
import functools
import sys
from greenlet import greenlet, getcurrent
class GreenletBridge:
def __init__(self):
self.bridge_greenlet = None
def run(self):
async def async_run():
gl = getcurrent().parent
coro = gl.switch()
while gl and coro !=... | src/greenletio/core.py | import asyncio
import functools
import sys
from greenlet import greenlet, getcurrent
class GreenletBridge:
def __init__(self):
self.bridge_greenlet = None
def run(self):
async def async_run():
gl = getcurrent().parent
coro = gl.switch()
while gl and coro !=... | 0.432543 | 0.277253 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
from zope import interface
from zope.component import eventtesting
from zope.schema.interfaces import IBeforeObjectAssignedEvent
from zope.schema.interfaces import IFieldUpdatedEvent
from zop... | src/nti/externalization/internalization/tests/test_fields.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import unittest
from zope import interface
from zope.component import eventtesting
from zope.schema.interfaces import IBeforeObjectAssignedEvent
from zope.schema.interfaces import IFieldUpdatedEvent
from zop... | 0.625095 | 0.221972 |
def test_add_device(server):
'''Test adding a single device'''
zone = setup_zone(server)
collector = setup_collector('DemilitarizedPip', server, server._host, zone)
device = { "@class" : "device",
"ip" : "1.1.1.1",
"phaseComplete" : False,
"created" : 1535388219912 }... | tests/test_add_devices.py |
def test_add_device(server):
'''Test adding a single device'''
zone = setup_zone(server)
collector = setup_collector('DemilitarizedPip', server, server._host, zone)
device = { "@class" : "device",
"ip" : "1.1.1.1",
"phaseComplete" : False,
"created" : 1535388219912 }... | 0.413714 | 0.586996 |
# filename name of data file with path in form satname_yyyymmdd_v7.1.gz
# where satname = name of satellite (tmi)
# yyyy = year
# mm = month
# dd = day of month
# missing = fill value used for missing data;
# if None, then fill with byte codes (251-255)
## the outp... | Database_creation/tmi_daily_v7.py | # filename name of data file with path in form satname_yyyymmdd_v7.1.gz
# where satname = name of satellite (tmi)
# yyyy = year
# mm = month
# dd = day of month
# missing = fill value used for missing data;
# if None, then fill with byte codes (251-255)
## the outp... | 0.302185 | 0.224778 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import random
import threading
import h5py
import util
from util import *
import time
class KnowledgePronounCorefModel(object):
def __init__(self, config):
self.config = config
self.conte... | model.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import random
import threading
import h5py
import util
from util import *
import time
class KnowledgePronounCorefModel(object):
def __init__(self, config):
self.config = config
self.conte... | 0.64646 | 0.123656 |
import GPy
import pytest
from bopy.acquisition import LCB
from bopy.bayes_opt import BayesOpt
from bopy.benchmark_functions import forrester
from bopy.bounds import Bound, Bounds
from bopy.initial_design import UniformRandomInitialDesign
from bopy.optimizer import DirectOptimizer
from bopy.surrogate import GPyGPSurrog... | tests/test_bayes_opt.py | import GPy
import pytest
from bopy.acquisition import LCB
from bopy.bayes_opt import BayesOpt
from bopy.benchmark_functions import forrester
from bopy.bounds import Bound, Bounds
from bopy.initial_design import UniformRandomInitialDesign
from bopy.optimizer import DirectOptimizer
from bopy.surrogate import GPyGPSurrog... | 0.627495 | 0.597725 |
from argparse import ArgumentParser
import gspread_pandas as gspd
import pandas as pd
import maintenance as mtn
import utils as ut
# Set pattern to fits files
parser = ArgumentParser(description="Update the Google Sheet with new objects.")
parser.add_argument(
"-p",
"--pattern",
default=mtn.RAW_PATTERN,... | general/object_id/full_update.py | from argparse import ArgumentParser
import gspread_pandas as gspd
import pandas as pd
import maintenance as mtn
import utils as ut
# Set pattern to fits files
parser = ArgumentParser(description="Update the Google Sheet with new objects.")
parser.add_argument(
"-p",
"--pattern",
default=mtn.RAW_PATTERN,... | 0.471953 | 0.179692 |
import os
import argparse
import os.path as osp
import glob
import torch
import torch.nn as nn
from reid.utils.data.dataset import Dataset, MixedDataset
from reid.utils.data import build_test_loader
from reid.models.backbone import ResNet
from reid.evaluation.evaluators import Evaluator, IncrementalEvaluator... | evaluate.py | import os
import argparse
import os.path as osp
import glob
import torch
import torch.nn as nn
from reid.utils.data.dataset import Dataset, MixedDataset
from reid.utils.data import build_test_loader
from reid.models.backbone import ResNet
from reid.evaluation.evaluators import Evaluator, IncrementalEvaluator... | 0.345657 | 0.133613 |
class Pieces:
""" Represents the Janggi pieces.
Each piece will hold its individual information."""
def __init__(self, player):
""" Initializes the Janggi pieces.
Data member:
player: The player in which the piece will now belong to."""
self._player = playe... | game_files/pieces.py |
class Pieces:
""" Represents the Janggi pieces.
Each piece will hold its individual information."""
def __init__(self, player):
""" Initializes the Janggi pieces.
Data member:
player: The player in which the piece will now belong to."""
self._player = playe... | 0.959828 | 0.604107 |
from abc import ABCMeta, abstractmethod
import numpy as np
from tensorflow.keras import backend as K
class BaseModel(object):
__metaclass__ = ABCMeta
def __init__(self, model, optimizer):
self.model = model
self.optimizer = optimizer
self.get_layer_outputs = [K.function([self.model.l... | models/BaseModel.py | from abc import ABCMeta, abstractmethod
import numpy as np
from tensorflow.keras import backend as K
class BaseModel(object):
__metaclass__ = ABCMeta
def __init__(self, model, optimizer):
self.model = model
self.optimizer = optimizer
self.get_layer_outputs = [K.function([self.model.l... | 0.872102 | 0.295586 |
import numpy as np
from tools import calculate_quantiles, plural_multi_agg
def qhist(data, centered=True, width=.8, transform=None):
"""Create a histogram with bins located as specific quantiles in data
Args:
data, pandas.DataFrame: output of tools.calculate_quantiles method; must have
... | filigree/fretwork.py | import numpy as np
from tools import calculate_quantiles, plural_multi_agg
def qhist(data, centered=True, width=.8, transform=None):
"""Create a histogram with bins located as specific quantiles in data
Args:
data, pandas.DataFrame: output of tools.calculate_quantiles method; must have
... | 0.871844 | 0.843509 |
import os
from argparse import Namespace
import pytest
from mock import MagicMock, patch
import snc
import snc.simulation.validation_script as validation_script
def get_args(agents,
hedgehog_param_overrides="{'AsymptoticCovarianceParams': {'num_batch': 10, "
"'num_... | tests/snc/simulation/test_validation_script.py | import os
from argparse import Namespace
import pytest
from mock import MagicMock, patch
import snc
import snc.simulation.validation_script as validation_script
def get_args(agents,
hedgehog_param_overrides="{'AsymptoticCovarianceParams': {'num_batch': 10, "
"'num_... | 0.527073 | 0.35223 |
from optparse import OptionParser
from lakkavokka.contours import find_single_contour, prepare_tags
from lakkavokka.global_mercator import GlobalMercator
from lakkavokka.load import loadFromDisk, downloadTile
def get_args():
usage = "usage: %prog [options] --lat <latitude> --lon <longitude>"
parser = OptionPa... | lakkavokka/__init__.py | from optparse import OptionParser
from lakkavokka.contours import find_single_contour, prepare_tags
from lakkavokka.global_mercator import GlobalMercator
from lakkavokka.load import loadFromDisk, downloadTile
def get_args():
usage = "usage: %prog [options] --lat <latitude> --lon <longitude>"
parser = OptionPa... | 0.444083 | 0.207455 |
from collections import defaultdict
from fastapi import FastAPI, HTTPException, Query
from pydantic import BaseModel, Field
from ..utils import OpenAPIVersion
class User(BaseModel):
username: str = Field(min_length=3)
class Config:
extra = "forbid"
class Message(BaseModel):
detail: str
c... | test/apps/_fastapi/__init__.py | from collections import defaultdict
from fastapi import FastAPI, HTTPException, Query
from pydantic import BaseModel, Field
from ..utils import OpenAPIVersion
class User(BaseModel):
username: str = Field(min_length=3)
class Config:
extra = "forbid"
class Message(BaseModel):
detail: str
c... | 0.553023 | 0.080973 |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from copy import copy
from functools import partial
from typing import Optional, List, Callable
from math import pi, sqrt
class CoordinateEncoding(nn.Module):
def __init__(self, proj_matrix, is_trainable=False):
super().__init... | gon_pytorch/modules.py | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from copy import copy
from functools import partial
from typing import Optional, List, Callable
from math import pi, sqrt
class CoordinateEncoding(nn.Module):
def __init__(self, proj_matrix, is_trainable=False):
super().__init... | 0.945475 | 0.491517 |
from __future__ import print_function
import argparse
import torch
from torch.utils.data import DataLoader
from train_loop import TrainLoop
import torch.optim as optim
from torchvision import datasets, transforms
from models import vgg, resnet, densenet
import numpy as np
from time import sleep
import os
import sys
de... | cifar/train.py | from __future__ import print_function
import argparse
import torch
from torch.utils.data import DataLoader
from train_loop import TrainLoop
import torch.optim as optim
from torchvision import datasets, transforms
from models import vgg, resnet, densenet
import numpy as np
from time import sleep
import os
import sys
de... | 0.493897 | 0.134804 |
from . import db,login_manager
from flask_login import UserMixin,current_user
from werkzeug.security import generate_password_hash,check_password_hash
from datetime import datetime
@login_manager.user_loader
def load_user(user_id):
return User.query.get(user_id)
class User(db.Model,UserMixin):
__tablename... | app/models.py | from . import db,login_manager
from flask_login import UserMixin,current_user
from werkzeug.security import generate_password_hash,check_password_hash
from datetime import datetime
@login_manager.user_loader
def load_user(user_id):
return User.query.get(user_id)
class User(db.Model,UserMixin):
__tablename... | 0.361616 | 0.056366 |
import json
import logging
import os
import re
import pymongo
import requests
import azure.functions as func
CENSUS_URL = "https://geocoding.geo.census.gov/geocoder/locations/onelineaddress"
CACHE_EXPIRATION = 60 * 60 * 24 * 7 # seconds * minutes * hours * days = 1 week
def geocode(address: str, cache: pymongo.co... | src/FunctionApps/CachedGeocode/Geocode/__init__.py | import json
import logging
import os
import re
import pymongo
import requests
import azure.functions as func
CENSUS_URL = "https://geocoding.geo.census.gov/geocoder/locations/onelineaddress"
CACHE_EXPIRATION = 60 * 60 * 24 * 7 # seconds * minutes * hours * days = 1 week
def geocode(address: str, cache: pymongo.co... | 0.528533 | 0.166574 |
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import os
import torchvision
import torchvision.transforms
import graph
from torch.autograd import Variable
from utils import progress_bar
class Class_Balancing:
... | proposed/pines_aux.py | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import os
import torchvision
import torchvision.transforms
import graph
from torch.autograd import Variable
from utils import progress_bar
class Class_Balancing:
... | 0.766905 | 0.373362 |
import os
import unittest
from telemetry import benchmark
from telemetry.core import platform
from telemetry.core import wpr_modes
from telemetry.page import page as page_module
from telemetry.page import page_set
from telemetry.results import page_test_results
from telemetry.timeline import model as model_module
fro... | tools/telemetry/telemetry/web_perf/timeline_based_measurement_unittest.py |
import os
import unittest
from telemetry import benchmark
from telemetry.core import platform
from telemetry.core import wpr_modes
from telemetry.page import page as page_module
from telemetry.page import page_set
from telemetry.results import page_test_results
from telemetry.timeline import model as model_module
fro... | 0.795181 | 0.268084 |
import sys
import maya.OpenMaya as OpenMaya
import maya.OpenMayaMPx as OpenMayaMPx
import maya.cmds as cmds
kPluginNodeName = "MitsubaTwoSidedShader"
kPluginNodeClassify = "/shader/surface"
kPluginNodeId = OpenMaya.MTypeId(0x87013)
class twosided(OpenMayaMPx.MPxNode):
def __init__(self):
OpenMayaMPx.MPxNo... | plug-ins/mitsuba/materials/twosided.py | import sys
import maya.OpenMaya as OpenMaya
import maya.OpenMayaMPx as OpenMayaMPx
import maya.cmds as cmds
kPluginNodeName = "MitsubaTwoSidedShader"
kPluginNodeClassify = "/shader/surface"
kPluginNodeId = OpenMaya.MTypeId(0x87013)
class twosided(OpenMayaMPx.MPxNode):
def __init__(self):
OpenMayaMPx.MPxNo... | 0.16175 | 0.134208 |
from chainer import cuda
from chainer import initializers
from chainer import link
from chainer import variable
from lib.functions.connection import graph_convolution
from lib import graph
class GraphConvolution(link.Link):
"""Graph convolutional layer.
This link wraps the :func:`graph_convolution` functio... | lib/links/connection/graph_convolution.py |
from chainer import cuda
from chainer import initializers
from chainer import link
from chainer import variable
from lib.functions.connection import graph_convolution
from lib import graph
class GraphConvolution(link.Link):
"""Graph convolutional layer.
This link wraps the :func:`graph_convolution` functio... | 0.952364 | 0.636099 |
from django.conf import settings
from django.http import HttpResponse, HttpRequest
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from django.views.decorators.http import require_http_methods
from django.views.decorators.csrf import csrf_exempt
from main.models import S3File
from s3... | genome_designer/main/xhr_uploader.py | from django.conf import settings
from django.http import HttpResponse, HttpRequest
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from django.views.decorators.http import require_http_methods
from django.views.decorators.csrf import csrf_exempt
from main.models import S3File
from s3... | 0.438304 | 0.106319 |
import datetime
import logging
import uuid
from constants import MESSAGE_MAX_ACCESSES, MESSAGE_EXPIRATION_SECONDS, READ_RECEIPT_EXPIRATION_SECONDS
from exceptions import HttpError
from message import new_message, message_to_external_json
from notification import send_notification
from read_receipt import new_read_rece... | service/app_impl.py | import datetime
import logging
import uuid
from constants import MESSAGE_MAX_ACCESSES, MESSAGE_EXPIRATION_SECONDS, READ_RECEIPT_EXPIRATION_SECONDS
from exceptions import HttpError
from message import new_message, message_to_external_json
from notification import send_notification
from read_receipt import new_read_rece... | 0.438785 | 0.044101 |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from django.core.validators import MinLengthValidator, MaxLengthValidator
from django_registration import validators
from django_registration.forms import RegistrationForm
class CustomRegistrat... | src/lovelace/forms.py | from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from django.core.validators import MinLengthValidator, MaxLengthValidator
from django_registration import validators
from django_registration.forms import RegistrationForm
class CustomRegistrat... | 0.602646 | 0.07921 |
import math
import numpy as np
from LabPy import Core # @UnresolvedImport
#===============================================================================
# Definition of constants
#===============================================================================
c = 299792458.0
h = 6.62606957e-34
hp = h /... | Tests/LabPy/Constants.py | import math
import numpy as np
from LabPy import Core # @UnresolvedImport
#===============================================================================
# Definition of constants
#===============================================================================
c = 299792458.0
h = 6.62606957e-34
hp = h /... | 0.773473 | 0.454714 |
import contextlib
import os
from collections import OrderedDict
import tensorrt as trt
from polygraphy.logger.logger import G_LOGGER, LogMode
from polygraphy.util import misc
from polygraphy.util.cuda import DeviceBuffer
def Calibrator(data_loader, cache=None, BaseClass=trt.IInt8MinMaxCalibrator,
batc... | tools/Polygraphy/polygraphy/backend/trt/calibrator.py | import contextlib
import os
from collections import OrderedDict
import tensorrt as trt
from polygraphy.logger.logger import G_LOGGER, LogMode
from polygraphy.util import misc
from polygraphy.util.cuda import DeviceBuffer
def Calibrator(data_loader, cache=None, BaseClass=trt.IInt8MinMaxCalibrator,
batc... | 0.766556 | 0.344443 |
class StorageModule(object):
'''
Mezeo Storage Module Abstract Interface
'''
def __init__(self, **kwargs):
'''
Initializes the vendor storage module.
Arguments for this method are defined by the module implementation.
:param kwargs: dictionary of arguments n... | modules/__init__.py | class StorageModule(object):
'''
Mezeo Storage Module Abstract Interface
'''
def __init__(self, **kwargs):
'''
Initializes the vendor storage module.
Arguments for this method are defined by the module implementation.
:param kwargs: dictionary of arguments n... | 0.841728 | 0.417509 |
import sys
# https://stackoverflow.com/a/510364/1020871
class KeyBoard:
def __init__(self):
try:
self.impl = _GetchWindows()
except ImportError:
self.impl = _GetchUnix()
def __call__(self): return self.impl()
class _GetchUnix:
def __init__(self):
import tt... | bin/lib/bravia/keyboard.py | import sys
# https://stackoverflow.com/a/510364/1020871
class KeyBoard:
def __init__(self):
try:
self.impl = _GetchWindows()
except ImportError:
self.impl = _GetchUnix()
def __call__(self): return self.impl()
class _GetchUnix:
def __init__(self):
import tt... | 0.290981 | 0.207415 |
import httpx
from ..wiki import Entry, EntryInfoBase, WikiBase
from lxml import etree
from urllib.parse import quote
_client = httpx.AsyncClient()
class BaiduWiki(WikiBase):
_base_url = "https://baike.baidu.com"
_entry_url = _base_url + "/item/{}"
async def get_entries(self, name: str) -> list[EntryInf... | userlib/wiki/baidu.py | import httpx
from ..wiki import Entry, EntryInfoBase, WikiBase
from lxml import etree
from urllib.parse import quote
_client = httpx.AsyncClient()
class BaiduWiki(WikiBase):
_base_url = "https://baike.baidu.com"
_entry_url = _base_url + "/item/{}"
async def get_entries(self, name: str) -> list[EntryInf... | 0.396302 | 0.102439 |
import pytest
from inflection import humanize
from argsloader.base import ParseError
from argsloader.units import proc, keep, ufunc, add, mul
@pytest.mark.unittest
class TestUnitsFunc:
def test_proc(self):
# FunctionType, LambdaType
u = proc(lambda x: x.upper())
assert u('abc') == 'ABC'
... | test/units/test_func.py | import pytest
from inflection import humanize
from argsloader.base import ParseError
from argsloader.units import proc, keep, ufunc, add, mul
@pytest.mark.unittest
class TestUnitsFunc:
def test_proc(self):
# FunctionType, LambdaType
u = proc(lambda x: x.upper())
assert u('abc') == 'ABC'
... | 0.546738 | 0.425009 |
import socket,os
import pickle
import zmq
import sys
import asyncio
import numpy as np
import argparse,imp
import cv2,struct
sys.path.append(os.environ['UNREAL_PROXY_PATH'])
import config
parser = argparse.ArgumentParser()
parser.add_argument("--config_path", help="config.py file path")
args = parser.parse_args()
co... | fdm_pub.py | import socket,os
import pickle
import zmq
import sys
import asyncio
import numpy as np
import argparse,imp
import cv2,struct
sys.path.append(os.environ['UNREAL_PROXY_PATH'])
import config
parser = argparse.ArgumentParser()
parser.add_argument("--config_path", help="config.py file path")
args = parser.parse_args()
co... | 0.036203 | 0.090534 |
import numpy as np
import numpy.testing
from pytest import fixture
from smif.data_layer import Store
from smif.data_layer.data_array import DataArray
from smif.data_layer.memory_interface import (MemoryConfigStore,
MemoryDataStore,
... | tests/data_layer/test_store.py | import numpy as np
import numpy.testing
from pytest import fixture
from smif.data_layer import Store
from smif.data_layer.data_array import DataArray
from smif.data_layer.memory_interface import (MemoryConfigStore,
MemoryDataStore,
... | 0.58059 | 0.355271 |
import argparse
import math
import random
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
T = 10
def weak_learner(temp_X, temp_y, D):
m, d = temp_X.shape
F_star, theta_star, j_star = float('inf'), 0, 0
for j in range(d):
sorted_indexes = temp_X[:, j].argsort()
xj ... | adaboost.py | import argparse
import math
import random
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
T = 10
def weak_learner(temp_X, temp_y, D):
m, d = temp_X.shape
F_star, theta_star, j_star = float('inf'), 0, 0
for j in range(d):
sorted_indexes = temp_X[:, j].argsort()
xj ... | 0.275714 | 0.380673 |
# In[1]:
import numpy as np
import pprint as pp
from sklearn.model_selection import train_test_split
import pickle
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.utils.data as data_utils
import matplotlib.pylab as plt
import sys, os
sys.path.append(os.... | Tutorial.py |
# In[1]:
import numpy as np
import pprint as pp
from sklearn.model_selection import train_test_split
import pickle
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import torch.utils.data as data_utils
import matplotlib.pylab as plt
import sys, os
sys.path.append(os.... | 0.736116 | 0.531574 |
import numpy as np
import requests
from bs4 import BeautifulSoup as bs
search_url = "https://recyclehub.jp/company?cat=1|2|3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25&prefecture=1|2|3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|20|19|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|... | python/recyclehub_get_all_company_info.py | import numpy as np
import requests
from bs4 import BeautifulSoup as bs
search_url = "https://recyclehub.jp/company?cat=1|2|3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|19|20|21|22|23|24|25&prefecture=1|2|3|4|5|6|7|8|9|10|11|12|13|14|15|16|17|18|20|19|21|22|23|24|25|26|27|28|29|30|31|32|33|34|35|36|37|38|39|40|41|42|43|44|... | 0.117635 | 0.37165 |
$NetBSD: patch-setup.py,v 1.5 2018/06/17 19:21:22 adam Exp $
Disable certain modules, so they can be built as separate packages.
Do not look for ncursesw.
Assume panel_library is correct; this is a fix for ncurses' gnupanel
which will get transformed to panel in buildlink.
--- setup.py.orig 2018-03-28 09:19:31.0000... | source/pkgsrc/lang/python36/patches/patch-setup.py | $NetBSD: patch-setup.py,v 1.5 2018/06/17 19:21:22 adam Exp $
Disable certain modules, so they can be built as separate packages.
Do not look for ncursesw.
Assume panel_library is correct; this is a fix for ncurses' gnupanel
which will get transformed to panel in buildlink.
--- setup.py.orig 2018-03-28 09:19:31.0000... | 0.226869 | 0.109706 |
class Chart:
def __init__ (self):
self.__airport_id = ''
self.__region_name = ''
self.__procedure_name = ''
self.__pdf_url = ''
self.__chart_name = ''
self.__chart_pdf_file = None
# pre: string airport_id must be declared and defined as a valid 3 or 4 characte... | chart.py |
class Chart:
def __init__ (self):
self.__airport_id = ''
self.__region_name = ''
self.__procedure_name = ''
self.__pdf_url = ''
self.__chart_name = ''
self.__chart_pdf_file = None
# pre: string airport_id must be declared and defined as a valid 3 or 4 characte... | 0.655446 | 0.115312 |
import torch
import torch.nn as nn
import copy
import random
from model import mixup
from model import cutmix
from model import mish
from dropblock import DropBlock2D
def copy_model(mdl):
#mdl_copy = type(mdl)() # get a new instance
#mdl_copy.load_state_dict(mdl.state_dict()) # copy weights and ... | src/model/modi_senet.py | import torch
import torch.nn as nn
import copy
import random
from model import mixup
from model import cutmix
from model import mish
from dropblock import DropBlock2D
def copy_model(mdl):
#mdl_copy = type(mdl)() # get a new instance
#mdl_copy.load_state_dict(mdl.state_dict()) # copy weights and ... | 0.741393 | 0.282713 |
from typing import Optional
import logging
from django.db import models
from django.contrib.auth.models import Group
from rest_framework import serializers
from rest_framework.exceptions import NotFound
from ..exception import UnprocessableEntity
from .uuid_model import UuidModel
from .run_environment... | server/processes/models/workflow_task_instance.py | from typing import Optional
import logging
from django.db import models
from django.contrib.auth.models import Group
from rest_framework import serializers
from rest_framework.exceptions import NotFound
from ..exception import UnprocessableEntity
from .uuid_model import UuidModel
from .run_environment... | 0.672654 | 0.084909 |
from numpy import mean
from numpy import std
from numpy import dstack
from pandas import read_csv
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers import Dropout
from keras.layers import LSTM
from keras.layers import TimeDistributed
from keras.utils i... | Action/training/train - Copy.py | from numpy import mean
from numpy import std
from numpy import dstack
from pandas import read_csv
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers import Dropout
from keras.layers import LSTM
from keras.layers import TimeDistributed
from keras.utils i... | 0.817429 | 0.543833 |
# System import
import os
import re
import subprocess
def environment(sh_file=None, env={}):
""" Function that return a dictionary containing the environment
needed by a program (for instance FSL or FreeSurfer).
In the configuration file, the variable are expected to be defined
as 'VARIABLE_NAME=valu... | pyconnectome/configuration.py | # System import
import os
import re
import subprocess
def environment(sh_file=None, env={}):
""" Function that return a dictionary containing the environment
needed by a program (for instance FSL or FreeSurfer).
In the configuration file, the variable are expected to be defined
as 'VARIABLE_NAME=valu... | 0.651133 | 0.414543 |
import time
import os
import uuid
import pandas as pd
from fds.analyticsapi.engines import ApiException
from fds.analyticsapi.engines.api.fpo_optimizer_api import FPOOptimizerApi
from fds.analyticsapi.engines.api_client import ApiClient
from fds.analyticsapi.engines.configuration import Configuration
from fds.analytic... | examples/fpo_optimizer_example.py | import time
import os
import uuid
import pandas as pd
from fds.analyticsapi.engines import ApiException
from fds.analyticsapi.engines.api.fpo_optimizer_api import FPOOptimizerApi
from fds.analyticsapi.engines.api_client import ApiClient
from fds.analyticsapi.engines.configuration import Configuration
from fds.analytic... | 0.400984 | 0.133021 |
"""Generated protocol buffer code."""
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_insertion_point(imports)
_sym_db = _symbol_databas... | distantrs/proto/google/devtools/resultstore/v2/coverage_summary_pb2.py | """Generated protocol buffer code."""
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_insertion_point(imports)
_sym_db = _symbol_databas... | 0.377541 | 0.123498 |
from django.shortcuts import render
from django.views import View
from django.views.generic import TemplateView
from app.models import *
from app.publicacoes_com_metadados import *
import re, json
# Lista de Entidades Possíveis
entity_list = [ 'ADV', 'ADVS',
'ADVOGADA', 'ADVOGADO',
'AGR... | app/views.py | from django.shortcuts import render
from django.views import View
from django.views.generic import TemplateView
from app.models import *
from app.publicacoes_com_metadados import *
import re, json
# Lista de Entidades Possíveis
entity_list = [ 'ADV', 'ADVS',
'ADVOGADA', 'ADVOGADO',
'AGR... | 0.240953 | 0.194884 |
from datetime import datetime
from django.db import models
from rest_framework import serializers
from django.contrib.auth import get_user_model
from django.contrib.auth.models import AbstractUser, UserManager
"""
class Message(models.Model):
subject = models.CharField(max_length=200)
body = models.TextField(... | backend/api/models.py | from datetime import datetime
from django.db import models
from rest_framework import serializers
from django.contrib.auth import get_user_model
from django.contrib.auth.models import AbstractUser, UserManager
"""
class Message(models.Model):
subject = models.CharField(max_length=200)
body = models.TextField(... | 0.645008 | 0.125146 |
import copy
import logging
import Queue
import MySQLdb
logger = logging.getLogger(__name__)
retriable_err = (2006, 2013)
class MysqlConnectionPool(object):
def __init__(self, conn_argkw, options=None):
options = options or {}
options = copy.deepcopy(options)
self.options = options
... | mysqlconnpool/mysqlconnpool.py |
import copy
import logging
import Queue
import MySQLdb
logger = logging.getLogger(__name__)
retriable_err = (2006, 2013)
class MysqlConnectionPool(object):
def __init__(self, conn_argkw, options=None):
options = options or {}
options = copy.deepcopy(options)
self.options = options
... | 0.338405 | 0.08819 |
NUMBER_ARRAY = [
"37107287533902102798797998220837590246510135740250",
"46376937677490009712648124896970078050417018260538",
"74324986199524741059474233309513058123726617309629",
"91942213363574161572522430563301811072406154908250",
"23067588207539346171171980310421047513778063246676",
"89261670696623633820136378418383... | src/problem013.py | NUMBER_ARRAY = [
"37107287533902102798797998220837590246510135740250",
"46376937677490009712648124896970078050417018260538",
"74324986199524741059474233309513058123726617309629",
"91942213363574161572522430563301811072406154908250",
"23067588207539346171171980310421047513778063246676",
"89261670696623633820136378418383... | 0.172102 | 0.261889 |
import json
from msilib import sequence
import os
import csv
class sequence_match(object):
def __init__(self, entry: str, offset: int):
self.e=entry
self.o=offset
e: str
o: int
def toJSON(self):
return json.dumps(self, default=lambda o: o.__dict__)
class looku... | bacvax_homology_common.py | import json
from msilib import sequence
import os
import csv
class sequence_match(object):
def __init__(self, entry: str, offset: int):
self.e=entry
self.o=offset
e: str
o: int
def toJSON(self):
return json.dumps(self, default=lambda o: o.__dict__)
class looku... | 0.360827 | 0.090333 |
import numpy as np
import tensorflow as tf
import cv2
import argparse
from PIL import Image, ImageDraw
from yolo_v3 import yolo_v3, load_weights, detections_boxes, non_max_suppression
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('input_img', '', 'Input image')
tf.app.flags.DEFINE_string('output_img', '', ... | models/tf_yolov3/demo.py |
import numpy as np
import tensorflow as tf
import cv2
import argparse
from PIL import Image, ImageDraw
from yolo_v3 import yolo_v3, load_weights, detections_boxes, non_max_suppression
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('input_img', '', 'Input image')
tf.app.flags.DEFINE_string('output_img', '', ... | 0.708717 | 0.229136 |
import unittest
import logging
import grpc
import pdb
import ptf
from ptf.testutils import *
from bfruntime_client_base_tests import BfRuntimeTest
import bfrt_grpc.bfruntime_pb2 as bfruntime_pb2
import bfrt_grpc.client as gc
import time
import sys
import os
from pprint import pprint, pformat
import random
from ... | test/ArpIcmpTests.py | import unittest
import logging
import grpc
import pdb
import ptf
from ptf.testutils import *
from bfruntime_client_base_tests import BfRuntimeTest
import bfrt_grpc.bfruntime_pb2 as bfruntime_pb2
import bfrt_grpc.client as gc
import time
import sys
import os
from pprint import pprint, pformat
import random
from ... | 0.206734 | 0.201145 |
import command as cmd
import chat_state as cs
import queue
import sys
from pynput.keyboard import Key, Listener
INPUT_BUFFER = queue.Queue()
LOCK = False
SHIFT = False
def on_press(key):
global INPUT_BUFFER
global LOCK
global SHIFT
# Listen to Fx keys.
if key == Key.f12:
LOCK = ~LOCK
... | input_buffer.py |
import command as cmd
import chat_state as cs
import queue
import sys
from pynput.keyboard import Key, Listener
INPUT_BUFFER = queue.Queue()
LOCK = False
SHIFT = False
def on_press(key):
global INPUT_BUFFER
global LOCK
global SHIFT
# Listen to Fx keys.
if key == Key.f12:
LOCK = ~LOCK
... | 0.209874 | 0.240362 |
import base64
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
import urllib.parse
import tempfile
import json
import urllib.request
import os
import sys
import re
from PyPDF2 import PdfFileWriter, PdfFileReader
from PyPDF2.generic import NameObject, DictionaryObject, ArrayObject, Number... | downloader.py | import base64
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
import urllib.parse
import tempfile
import json
import urllib.request
import os
import sys
import re
from PyPDF2 import PdfFileWriter, PdfFileReader
from PyPDF2.generic import NameObject, DictionaryObject, ArrayObject, Number... | 0.197019 | 0.129871 |
#------------------------------
# video 数据同步监控
#------------------------------
import sys
import os
import json
import time
import threading
import subprocess
import shutil
import base64
sys.path.append("/usr/local/lib/python2.7/site-packages")
import psutil
sys.path.append(os.getcwd() + "/class/core")
reload(sys)... | task/vms_async_monitor.py |
#------------------------------
# video 数据同步监控
#------------------------------
import sys
import os
import json
import time
import threading
import subprocess
import shutil
import base64
sys.path.append("/usr/local/lib/python2.7/site-packages")
import psutil
sys.path.append(os.getcwd() + "/class/core")
reload(sys)... | 0.096065 | 0.085404 |
import functools
import re
import subprocess
import sys
import packaging.version
import pkg_resources
import requests
import urllib3
urllib3.disable_warnings()
verbose = len([arg for arg in sys.argv[1:] if arg == '-v'])
Packages = {
'advancecomp': {
'git': 'https://github.com/amadvance/advancecomp.git'... | check_versions.py |
import functools
import re
import subprocess
import sys
import packaging.version
import pkg_resources
import requests
import urllib3
urllib3.disable_warnings()
verbose = len([arg for arg in sys.argv[1:] if arg == '-v'])
Packages = {
'advancecomp': {
'git': 'https://github.com/amadvance/advancecomp.git'... | 0.323273 | 0.23255 |
import logging
import mock
from neutron.extensions import securitygroup
from neutron.tests.unit.extensions import base as test_extensions_base
from neutron_lib.constants import ATTR_NOT_SPECIFIED
from neutron_lib import exceptions
from neutron_lib.exceptions import allowedaddresspairs
from neutron_lib.exceptions impo... | networking_opencontrail/tests/unit/drivers/test_contrail_driver_base.py |
import logging
import mock
from neutron.extensions import securitygroup
from neutron.tests.unit.extensions import base as test_extensions_base
from neutron_lib.constants import ATTR_NOT_SPECIFIED
from neutron_lib import exceptions
from neutron_lib.exceptions import allowedaddresspairs
from neutron_lib.exceptions impo... | 0.620392 | 0.166438 |
from flask import Flask, request, render_template, jsonify
import mysql.connector
import tweepy
import smtplib
from flask_mail import Mail, Message
app = Flask(__name__)
app.config['MAIL_SERVER']='smtp.gmail.com'
app.config['MAIL_PORT'] = 465
app.config['MAIL_USERNAME'] = '<EMAIL>'
app.config['MAIL_PASSWORD'] = '<PASS... | app/app.py | from flask import Flask, request, render_template, jsonify
import mysql.connector
import tweepy
import smtplib
from flask_mail import Mail, Message
app = Flask(__name__)
app.config['MAIL_SERVER']='smtp.gmail.com'
app.config['MAIL_PORT'] = 465
app.config['MAIL_USERNAME'] = '<EMAIL>'
app.config['MAIL_PASSWORD'] = '<PASS... | 0.331012 | 0.071689 |
import unittest.mock
import pytest
from api.domain.route_domain import RouteDomain
# teste não passar arquivo na criação
def test_create_route_domain_object():
filepath = "files/input-file-test.csv"
route_domain = RouteDomain(filepath)
assert route_domain.file == "files/input-file-test.csv"
# teste pass... | api/tests/route_domain_tests.py | import unittest.mock
import pytest
from api.domain.route_domain import RouteDomain
# teste não passar arquivo na criação
def test_create_route_domain_object():
filepath = "files/input-file-test.csv"
route_domain = RouteDomain(filepath)
assert route_domain.file == "files/input-file-test.csv"
# teste pass... | 0.372505 | 0.418281 |
import time
from ginga.gw import Widgets
from ginga import GingaPlugin
from ginga.misc import Bunch
from ginga.util import catalog
__all__ = ['Downloads']
class Downloads(GingaPlugin.GlobalPlugin):
def __init__(self, fv):
# superclass defines some variables for us, like logger
super(Downloads, ... | ginga/rv/plugins/Downloads.py | import time
from ginga.gw import Widgets
from ginga import GingaPlugin
from ginga.misc import Bunch
from ginga.util import catalog
__all__ = ['Downloads']
class Downloads(GingaPlugin.GlobalPlugin):
def __init__(self, fv):
# superclass defines some variables for us, like logger
super(Downloads, ... | 0.374905 | 0.083628 |
import math
from random import randint, random, choice
from Chromosome import Chromosome
from Population import Population
class GA:
def __init__(self, start_pop, num_generations, crossover_rate, mutation_rate, total_fitness_threshold, chrom_init_func):
self.population = start_pop
self.populati... | collections/yaeger-al4ai/2005Fall/talks/ga_code/GA.py |
import math
from random import randint, random, choice
from Chromosome import Chromosome
from Population import Population
class GA:
def __init__(self, start_pop, num_generations, crossover_rate, mutation_rate, total_fitness_threshold, chrom_init_func):
self.population = start_pop
self.populati... | 0.47098 | 0.351033 |
from copy import deepcopy
import pandas as pd
from emanager.accounting.transaction import Transaction
from emanager.constants import TIMESTAMP
from emanager.utils.data_types import ACC_CHART_DATA
from emanager.utils.directories import ACCOUNTING_DATA_DIR
ACC_CHART_DATA_PATH = ACCOUNTING_DATA_DIR + "/chart_of_accounts... | emanager/accounting/accounts.py | from copy import deepcopy
import pandas as pd
from emanager.accounting.transaction import Transaction
from emanager.constants import TIMESTAMP
from emanager.utils.data_types import ACC_CHART_DATA
from emanager.utils.directories import ACCOUNTING_DATA_DIR
ACC_CHART_DATA_PATH = ACCOUNTING_DATA_DIR + "/chart_of_accounts... | 0.378344 | 0.222426 |
import numpy as np
import matplotlib.pyplot as plt
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
from sklearn.datasets import load_digits
from sklearn.model_selection import learning_curve
from sklearn.model_selection import ShuffleSplit
def plot_learning_curve(estimator, title, X, y, ylim=... | programs/graduation-project/Learning Curves for SVM.py | import numpy as np
import matplotlib.pyplot as plt
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
from sklearn.datasets import load_digits
from sklearn.model_selection import learning_curve
from sklearn.model_selection import ShuffleSplit
def plot_learning_curve(estimator, title, X, y, ylim=... | 0.789356 | 0.740597 |
import pygame
from pygame.locals import *
from OpenGL.GL import *
from OpenGL.GLU import *
vertices = (
# ( x, y, z)
( 1, -1, -1), # A
( 1, 1, -1), # B
(-1, 1, -1), # C
(-1, -1, -1), # D
( 1, -1, 1), # E
( 1, 1, 1), # F
(-1, -1, 1), # G
(-1, 1, 1) # ... | VMC Pygame/VMC Pygame - Class/VMC Pygame - Class 17/VMC Pygame - Class 17.py | import pygame
from pygame.locals import *
from OpenGL.GL import *
from OpenGL.GLU import *
vertices = (
# ( x, y, z)
( 1, -1, -1), # A
( 1, 1, -1), # B
(-1, 1, -1), # C
(-1, -1, -1), # D
( 1, -1, 1), # E
( 1, 1, 1), # F
(-1, -1, 1), # G
(-1, 1, 1) # ... | 0.11684 | 0.332446 |
import tkinter as tk
from tkinter import ttk
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
from plot.graph import InSightsPlot
import pandas as pd
class InSights (tk.Frame):
def __init__ (se... | app.py | import tkinter as tk
from tkinter import ttk
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
from plot.graph import InSightsPlot
import pandas as pd
class InSights (tk.Frame):
def __init__ (se... | 0.336985 | 0.163679 |
layer_sizes = {
'cifar-10':
{
"vgg": [
# Conv1
(28, 28, 3, 1, 64, 3, 3, 1, 1, 1, 1),
(28, 28, 64, 1, 64, 3, 3, 1, 1, 1, 1),
# # Conv2
(14, 14, 64, 1, 128, 3, 3, 1, 1, 1, 1),
(14, 14, 128, 1, 128, 3, 3, 1, 1, 1, 1),
# # Conv3
(7, 7, 128, 1, 256, 3, 3, 1, 1, 1, 1),
... | scripts/common.py | layer_sizes = {
'cifar-10':
{
"vgg": [
# Conv1
(28, 28, 3, 1, 64, 3, 3, 1, 1, 1, 1),
(28, 28, 64, 1, 64, 3, 3, 1, 1, 1, 1),
# # Conv2
(14, 14, 64, 1, 128, 3, 3, 1, 1, 1, 1),
(14, 14, 128, 1, 128, 3, 3, 1, 1, 1, 1),
# # Conv3
(7, 7, 128, 1, 256, 3, 3, 1, 1, 1, 1),
... | 0.519521 | 0.845241 |
import pandas as pd
import numpy as np
import datetime
import math
from decimal import Decimal, ROUND_HALF_UP
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import matplotlib.patches as pat
from numpy.random import *
class LpProc:
def __init__(sel... | lp_proc.py | import pandas as pd
import numpy as np
import datetime
import math
from decimal import Decimal, ROUND_HALF_UP
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import matplotlib.patches as pat
from numpy.random import *
class LpProc:
def __init__(sel... | 0.321141 | 0.266906 |
import torch
import torch.nn as nn
from utils.torch_helpers import _device
from utils.geometry import (
pixel_grid,
focal_length,
project,
pixels_to_points,
reproject_points,
sample,
)
def select_tensors(x):
"""
x (B, N, C, H, W) -> (N, B, C, H, W)
Each batch (B) is composed of a ... | loss/consistency_loss.py |
import torch
import torch.nn as nn
from utils.torch_helpers import _device
from utils.geometry import (
pixel_grid,
focal_length,
project,
pixels_to_points,
reproject_points,
sample,
)
def select_tensors(x):
"""
x (B, N, C, H, W) -> (N, B, C, H, W)
Each batch (B) is composed of a ... | 0.961669 | 0.705392 |
from .logbase import LogBase
from .seekablerequest import SeekableRequest
from .config import Config
from .time import Time
from .resolver import Resolver
from .settings import Setting
from .exceptions import GoogleDrivePermissionDenied, LogicError, GoogleCredentialsExpired, ProtocolError, ensureKey, GoogleInternalErro... | hassio-google-drive-backup/backup/driverequests.py | from .logbase import LogBase
from .seekablerequest import SeekableRequest
from .config import Config
from .time import Time
from .resolver import Resolver
from .settings import Setting
from .exceptions import GoogleDrivePermissionDenied, LogicError, GoogleCredentialsExpired, ProtocolError, ensureKey, GoogleInternalErro... | 0.565539 | 0.065217 |
from builtins import super
from django.contrib import messages
from django.contrib.auth.decorators import user_passes_test
from django.contrib.auth.models import User
from django.contrib.messages.views import SuccessMessageMixin
from django.db import transaction
from django.http import HttpResponse, HttpResponseRedire... | adminapp/views.py | from builtins import super
from django.contrib import messages
from django.contrib.auth.decorators import user_passes_test
from django.contrib.auth.models import User
from django.contrib.messages.views import SuccessMessageMixin
from django.db import transaction
from django.http import HttpResponse, HttpResponseRedire... | 0.793146 | 0.191554 |
import json
import requests
from log_conf import Logger
from utils import ES_AUTH, ES_HOST, BASEPATH_FEATURES, FEATURE_SET_NAME
from urllib.parse import urljoin
def get_feature(ftr_id: int):
"""
Each feature is stored in a file with the name of the file as feature_number.json: 1.json, 2.json. This
functi... | demo/load_features.py | import json
import requests
from log_conf import Logger
from utils import ES_AUTH, ES_HOST, BASEPATH_FEATURES, FEATURE_SET_NAME
from urllib.parse import urljoin
def get_feature(ftr_id: int):
"""
Each feature is stored in a file with the name of the file as feature_number.json: 1.json, 2.json. This
functi... | 0.438064 | 0.317836 |
from base import *
import json
import toml
from itertools import chain
class GoBGPContainer(BGPContainer):
SHARED_VOLUME = '/root/shared_volume'
QUAGGA_VOLUME = '/etc/quagga'
def __init__(self, name, asn, router_id, ctn_image_name='gobgp',
log_level='debug', zebra=False):
super... | test/scenario_test/lib/gobgp.py |
from base import *
import json
import toml
from itertools import chain
class GoBGPContainer(BGPContainer):
SHARED_VOLUME = '/root/shared_volume'
QUAGGA_VOLUME = '/etc/quagga'
def __init__(self, name, asn, router_id, ctn_image_name='gobgp',
log_level='debug', zebra=False):
super... | 0.348867 | 0.117193 |
import os
import unittest
import heat as ht
from ...core.tests.test_suites.basic_test import TestCase
class TestKMeans(TestCase):
def test_clusterer(self):
kmeans = ht.cluster.KMeans()
self.assertTrue(ht.is_estimator(kmeans))
self.assertTrue(ht.is_clusterer(kmeans))
def test_get_and... | heat/cluster/tests/test_kmeans.py | import os
import unittest
import heat as ht
from ...core.tests.test_suites.basic_test import TestCase
class TestKMeans(TestCase):
def test_clusterer(self):
kmeans = ht.cluster.KMeans()
self.assertTrue(ht.is_estimator(kmeans))
self.assertTrue(ht.is_clusterer(kmeans))
def test_get_and... | 0.585931 | 0.565719 |
from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
def tracking(gfftracking):
"""
Read the data from the GffCompare gffcmp.tracking file and
format as a dictionary.
Only takes three-way matches from the file.
:return: tcons_XXXX (key) : [[transcript_id 1],
... | workflow/scripts/exon_comparison.py | from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
def tracking(gfftracking):
"""
Read the data from the GffCompare gffcmp.tracking file and
format as a dictionary.
Only takes three-way matches from the file.
:return: tcons_XXXX (key) : [[transcript_id 1],
... | 0.590307 | 0.441974 |
import os
import abc
import six
import yaml
import numpy as np
from aw_nas import Component, utils
from aw_nas.rollout.mutation import Population, MutationRollout
from aw_nas.common import assert_rollout_type
from aw_nas.controller.base import BaseController
from aw_nas.utils.exception import expect, ConfigException
... | aw_nas/controller/population.py | import os
import abc
import six
import yaml
import numpy as np
from aw_nas import Component, utils
from aw_nas.rollout.mutation import Population, MutationRollout
from aw_nas.common import assert_rollout_type
from aw_nas.controller.base import BaseController
from aw_nas.utils.exception import expect, ConfigException
... | 0.645343 | 0.351951 |
CUCKOO_SIGNATURES = {
"html_flash": "Exploit",
"powershell_bitstransfer": "PowerShell",
"powershell_empire": "Hacking tool",
"locker_cmd": "Locker",
"js_anti_analysis": "Anti-analysis",
"pdf_javascript": "Suspicious PDF API",
"application_sent_sms_messages": "Suspicious Android API",
"android_antivirus_... | cuckoo/signatures.py | CUCKOO_SIGNATURES = {
"html_flash": "Exploit",
"powershell_bitstransfer": "PowerShell",
"powershell_empire": "Hacking tool",
"locker_cmd": "Locker",
"js_anti_analysis": "Anti-analysis",
"pdf_javascript": "Suspicious PDF API",
"application_sent_sms_messages": "Suspicious Android API",
"android_antivirus_... | 0.364551 | 0.375993 |
"""
utils class function
"""
import os
import cv2
import random
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
from keras.preprocessing.image import img_to_array
from keras.utils.np_utils import to_categorical
from config import UnetConfig
import keras as K
#设置全局变量
config = UnetConfig()
im... | ResUnet_a/utils.py | """
utils class function
"""
import os
import cv2
import random
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
from keras.preprocessing.image import img_to_array
from keras.utils.np_utils import to_categorical
from config import UnetConfig
import keras as K
#设置全局变量
config = UnetConfig()
im... | 0.32029 | 0.143188 |
from textwrap import dedent
import unittest
from graphql import parse
from graphql.language.printer import print_ast
from ...exceptions import GraphQLValidationError
from ...schema_transformation.rename_query import rename_query
from ...schema_transformation.rename_schema import rename_schema
from .example_schema imp... | graphql_compiler/tests/schema_transformation_tests/test_rename_query.py | from textwrap import dedent
import unittest
from graphql import parse
from graphql.language.printer import print_ast
from ...exceptions import GraphQLValidationError
from ...schema_transformation.rename_query import rename_query
from ...schema_transformation.rename_schema import rename_schema
from .example_schema imp... | 0.581422 | 0.341034 |