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class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
08f509629ea65c3c640988ec3fdf64db85c960a0 | 12,404 | py | Python | fairseq/data/raw_audio_text_dataset.py | shamanez/BERT-like-is-All-You-Need | a6ba1f656da40103b3b5398961d18e5fc78e1efb | [
"MIT"
] | 74 | 2020-08-19T07:52:46.000Z | 2022-03-31T00:20:42.000Z | fairseq/data/raw_audio_text_dataset.py | shamanez/BERT-like-is-All-You-Need | a6ba1f656da40103b3b5398961d18e5fc78e1efb | [
"MIT"
] | 23 | 2020-09-12T05:13:23.000Z | 2021-09-16T13:49:31.000Z | fairseq/data/raw_audio_text_dataset.py | shamanez/BERT-like-is-All-You-Need | a6ba1f656da40103b3b5398961d18e5fc78e1efb | [
"MIT"
] | 8 | 2020-12-04T10:25:50.000Z | 2022-01-03T10:58:17.000Z | #change the line 331
import os
import numpy as np
import sys
import torch
from .import FairseqDataset
import random
import cv2
from PIL import Image
from torchvision.transforms import CenterCrop, Resize, Compose, ToTensor
import time
class RawAudioTextDataset(FairseqDataset):
def __init__(self, base_path,data... | 30.62716 | 148 | 0.529345 |
import os
import numpy as np
import sys
import torch
from .import FairseqDataset
import random
import cv2
from PIL import Image
from torchvision.transforms import CenterCrop, Resize, Compose, ToTensor
import time
class RawAudioTextDataset(FairseqDataset):
def __init__(self, base_path,data_args,data_split,samp... | true | true |
08f50a623162f4db3b4debb40d91627cf7dd1b6a | 403 | py | Python | First_Project/wsgi.py | anish011/first-project | 5981f02990a1cd83afc2c04cc735202afd7350dc | [
"Apache-2.0"
] | null | null | null | First_Project/wsgi.py | anish011/first-project | 5981f02990a1cd83afc2c04cc735202afd7350dc | [
"Apache-2.0"
] | null | null | null | First_Project/wsgi.py | anish011/first-project | 5981f02990a1cd83afc2c04cc735202afd7350dc | [
"Apache-2.0"
] | null | null | null | """
WSGI config for First_Project project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO... | 23.705882 | 78 | 0.791563 |
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'First_Project.settings')
application = get_wsgi_application()
| true | true |
08f50b0e3f09bf66d057c1ab998fc403c94b78c6 | 8,939 | py | Python | seglearn/tests/test_pipe.py | tylerwmarrs/seglearn | 01fa65b3e326091671043f30c0310eead0e78bc2 | [
"BSD-3-Clause"
] | null | null | null | seglearn/tests/test_pipe.py | tylerwmarrs/seglearn | 01fa65b3e326091671043f30c0310eead0e78bc2 | [
"BSD-3-Clause"
] | null | null | null | seglearn/tests/test_pipe.py | tylerwmarrs/seglearn | 01fa65b3e326091671043f30c0310eead0e78bc2 | [
"BSD-3-Clause"
] | null | null | null | # Author: David Burns
# License: BSD
import numpy as np
import pandas as pd
from sklearn.linear_model import Ridge
from sklearn.preprocessing import StandardScaler
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_validate
from seglearn.pipe import Pype
from seglearn.transf... | 27.420245 | 91 | 0.581161 |
import numpy as np
import pandas as pd
from sklearn.linear_model import Ridge
from sklearn.preprocessing import StandardScaler
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_validate
from seglearn.pipe import Pype
from seglearn.transform import FeatureRep, SegmentX, Segm... | true | true |
08f50b50147f652dc4f887ec9eeb2f9a700baa46 | 1,690 | py | Python | naoqi-sdk-2.5.5.5-linux64/doc/_downloads/altabletservice_showwebview.py | applejenny66/docker_pepper | 2469cc4db6585161a31ac44c8fcf2605d71318b1 | [
"MIT"
] | null | null | null | naoqi-sdk-2.5.5.5-linux64/doc/_downloads/altabletservice_showwebview.py | applejenny66/docker_pepper | 2469cc4db6585161a31ac44c8fcf2605d71318b1 | [
"MIT"
] | null | null | null | naoqi-sdk-2.5.5.5-linux64/doc/_downloads/altabletservice_showwebview.py | applejenny66/docker_pepper | 2469cc4db6585161a31ac44c8fcf2605d71318b1 | [
"MIT"
] | 1 | 2020-10-06T07:44:12.000Z | 2020-10-06T07:44:12.000Z | #! /usr/bin/env python
# -*- encoding: UTF-8 -*-
"""Example: Use showWebview Method"""
import qi
import argparse
import sys
import time
def main(session):
"""
This example uses the showWebview method.
To Test ALTabletService, you need to run the script ON the robot.
"""
# Get the service ALTable... | 29.137931 | 98 | 0.613018 |
"""Example: Use showWebview Method"""
import qi
import argparse
import sys
import time
def main(session):
"""
This example uses the showWebview method.
To Test ALTabletService, you need to run the script ON the robot.
"""
try:
tabletService = session.service("ALTabletService")
... | false | true |
08f50c1583a0782f224453dfe8898beb14c209f1 | 5,103 | py | Python | build/python/npre/umbral.py | DecentricCorp/secret-share | 793ad5a84ffcccffc7c07be77d26513cea69deb7 | [
"MIT"
] | 8 | 2017-12-07T11:21:38.000Z | 2022-01-09T04:48:24.000Z | build/python/npre/umbral.py | DecentricCorp/secret-share | 793ad5a84ffcccffc7c07be77d26513cea69deb7 | [
"MIT"
] | 9 | 2018-01-29T15:35:43.000Z | 2018-03-06T19:40:01.000Z | build/python/npre/umbral.py | DecentricCorp/secret-share | 793ad5a84ffcccffc7c07be77d26513cea69deb7 | [
"MIT"
] | null | null | null | '''
Umbral: split-key proxy re-encryption for ECIES
'''
import npre.elliptic_curve as ec
from npre import curves
from npre.constants import UNKNOWN_KFRAG
from typing import Union
from sha3 import keccak_256 as keccak
from collections import namedtuple
from functools import reduce
from operator import mul
from cryptogr... | 30.017647 | 96 | 0.606898 |
import npre.elliptic_curve as ec
from npre import curves
from npre.constants import UNKNOWN_KFRAG
from typing import Union
from sha3 import keccak_256 as keccak
from collections import namedtuple
from functools import reduce
from operator import mul
from cryptography.hazmat.primitives import hashes
from cryptography.h... | true | true |
08f50c522f6c09b1540bc487a393a6034bcc069d | 12,027 | py | Python | tensorflow_graphics/nn/layer/tests/graph_convolution_test.py | jackd/graphics | 736b99a3306e302674a9b7599e3e2857b85fdb74 | [
"Apache-2.0"
] | null | null | null | tensorflow_graphics/nn/layer/tests/graph_convolution_test.py | jackd/graphics | 736b99a3306e302674a9b7599e3e2857b85fdb74 | [
"Apache-2.0"
] | null | null | null | tensorflow_graphics/nn/layer/tests/graph_convolution_test.py | jackd/graphics | 736b99a3306e302674a9b7599e3e2857b85fdb74 | [
"Apache-2.0"
] | 1 | 2020-04-11T10:37:36.000Z | 2020-04-11T10:37:36.000Z | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 40.09 | 80 | 0.65644 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import numpy as np
import tensorflow as tf
import tensorflow_graphics.nn.layer.graph_convolution as gc_layer
from tensorflow_graphics.util import test_case
def _dense_... | true | true |
08f50e6aeb1980353159df42321644bc99e192e3 | 3,184 | py | Python | data/dataloaders.py | csalt-research/OpenASR-py | 9aea6753689d87d321260d7eb0ea0544e1b3403a | [
"MIT"
] | 2 | 2019-11-29T15:46:14.000Z | 2021-05-28T06:54:41.000Z | data/dataloaders.py | csalt-research/OpenASR-py | 9aea6753689d87d321260d7eb0ea0544e1b3403a | [
"MIT"
] | null | null | null | data/dataloaders.py | csalt-research/OpenASR-py | 9aea6753689d87d321260d7eb0ea0544e1b3403a | [
"MIT"
] | null | null | null | import torch
import glob
import os
from utils.logging import logger
import numpy as np
import random
from itertools import islice
def chunks(l, n):
for i in range(0, len(l), n):
yield l[i:i+n]
"""
Simple dataloader to cycle through a list of shard paths.
"""
class ShardedDataLoader(object):
def __init... | 33.166667 | 102 | 0.547111 | import torch
import glob
import os
from utils.logging import logger
import numpy as np
import random
from itertools import islice
def chunks(l, n):
for i in range(0, len(l), n):
yield l[i:i+n]
class ShardedDataLoader(object):
def __init__(self,
shard_root_dir,
batch_s... | true | true |
08f50ec682d07bc5efe997d83ba2cedee13c4271 | 855 | py | Python | notes/design/low-level/case-studies/parking-lot/tests/tests.py | Anmol-Singh-Jaggi/interview-notes | 65af75e2b5725894fa5e13bb5cd9ecf152a0d652 | [
"MIT"
] | 6 | 2020-07-05T05:15:19.000Z | 2021-01-24T20:17:14.000Z | notes/design/low-level/case-studies/parking-lot/tests/tests.py | Anmol-Singh-Jaggi/interview-notes | 65af75e2b5725894fa5e13bb5cd9ecf152a0d652 | [
"MIT"
] | null | null | null | notes/design/low-level/case-studies/parking-lot/tests/tests.py | Anmol-Singh-Jaggi/interview-notes | 65af75e2b5725894fa5e13bb5cd9ecf152a0d652 | [
"MIT"
] | 2 | 2020-09-14T06:46:37.000Z | 2021-06-15T09:17:21.000Z | import unittest
from Driver import process_file
class TestDriver(unittest.TestCase):
def read_from_file(self, filepath):
with open(filepath, "r") as content_file:
content = content_file.read()
return content
def check_file(self, idx):
in_file = "inputs/in" + idx + ".tx... | 23.108108 | 56 | 0.59883 | import unittest
from Driver import process_file
class TestDriver(unittest.TestCase):
def read_from_file(self, filepath):
with open(filepath, "r") as content_file:
content = content_file.read()
return content
def check_file(self, idx):
in_file = "inputs/in" + idx + ".tx... | true | true |
08f50f46bef9866b5c04cef1ac6548631a5ed7d1 | 1,367 | py | Python | twelve_biubiu.py | lingshen09/spring12-python | 14326760a8bacee6561bc8e0dee9fbe71fe53f30 | [
"MIT"
] | 1 | 2021-04-05T03:31:32.000Z | 2021-04-05T03:31:32.000Z | twelve_biubiu.py | lingshen09/spring12-python | 14326760a8bacee6561bc8e0dee9fbe71fe53f30 | [
"MIT"
] | null | null | null | twelve_biubiu.py | lingshen09/spring12-python | 14326760a8bacee6561bc8e0dee9fbe71fe53f30 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
#coding: utf-8
# env "planet_engine"
# Permission: CN-2082-2
# Author: Li.Yi.Yi
# 春节十二响 biu biu biu!
import time
ENGINE_ALL = ["2082001","2082002","2082003"]
FUNERAL_FULL = "TOP LEVEL"
CURVE_NATURAL = "CURVE_NATURAL"
def set_engine_number_mask(engin_num):
print("set_engine_number_mask star... | 19.811594 | 72 | 0.637162 |
import time
ENGINE_ALL = ["2082001","2082002","2082003"]
FUNERAL_FULL = "TOP LEVEL"
CURVE_NATURAL = "CURVE_NATURAL"
def set_engine_number_mask(engin_num):
print("set_engine_number_mask start")
for n in engin_num:
print("engin no:%s mask set" % n)
print("set_engine_number_mask finish")
return ... | true | true |
08f50f985d4b0a9b808f67490ef34a70979139e1 | 3,313 | py | Python | demo_imagenet.py | MashmallowWoR/ADef-master | 1b0bd40cb3b0d555669f2c728bfb0c0b61b5dc04 | [
"Apache-2.0"
] | 4 | 2021-07-02T09:21:34.000Z | 2021-12-19T08:26:14.000Z | demo_imagenet.py | MashmallowWoR/ADef-master | 1b0bd40cb3b0d555669f2c728bfb0c0b61b5dc04 | [
"Apache-2.0"
] | null | null | null | demo_imagenet.py | MashmallowWoR/ADef-master | 1b0bd40cb3b0d555669f2c728bfb0c0b61b5dc04 | [
"Apache-2.0"
] | 2 | 2021-06-27T11:40:06.000Z | 2021-07-04T13:28:07.000Z | import numpy as np
import matplotlib.pyplot as plt
import os
import PIL.Image as Image
import torch
from torch.autograd import Variable
import torchvision.models as models
import torchvision.transforms as transforms
from deformation import ADef
from vector_fields import draw_vector_field
path_to_resources = 'resourc... | 29.061404 | 90 | 0.685783 | import numpy as np
import matplotlib.pyplot as plt
import os
import PIL.Image as Image
import torch
from torch.autograd import Variable
import torchvision.models as models
import torchvision.transforms as transforms
from deformation import ADef
from vector_fields import draw_vector_field
path_to_resources = 'resourc... | true | true |
08f50ff7f695663f2bb6d72ffdd86a315c9418d8 | 13,888 | py | Python | sql/notify.py | xiandan-erizo/Archery | 4ca008bd3edc4f2e536afd882a0792ea79655438 | [
"Apache-2.0"
] | null | null | null | sql/notify.py | xiandan-erizo/Archery | 4ca008bd3edc4f2e536afd882a0792ea79655438 | [
"Apache-2.0"
] | null | null | null | sql/notify.py | xiandan-erizo/Archery | 4ca008bd3edc4f2e536afd882a0792ea79655438 | [
"Apache-2.0"
] | null | null | null | # -*- coding: UTF-8 -*-
import datetime
import re
from itertools import chain
from django.contrib.auth.models import Group
from common.config import SysConfig
from sql.models import QueryPrivilegesApply, Users, SqlWorkflow, ResourceGroup, ArchiveConfig
from sql.utils.resource_group import auth_group_users
from common.... | 43.810726 | 123 | 0.659274 | import datetime
import re
from itertools import chain
from django.contrib.auth.models import Group
from common.config import SysConfig
from sql.models import QueryPrivilegesApply, Users, SqlWorkflow, ResourceGroup, ArchiveConfig
from sql.utils.resource_group import auth_group_users
from common.utils.sendmsg import Msg... | true | true |
08f5102c7998ca277a75754bba5044337112f6bf | 769 | py | Python | guestbook/views.py | hcpthanks/vCard | cc9a301f413961c398c355426013c0cc05fbb1b7 | [
"MIT"
] | null | null | null | guestbook/views.py | hcpthanks/vCard | cc9a301f413961c398c355426013c0cc05fbb1b7 | [
"MIT"
] | null | null | null | guestbook/views.py | hcpthanks/vCard | cc9a301f413961c398c355426013c0cc05fbb1b7 | [
"MIT"
] | null | null | null | from django.shortcuts import render, redirect, reverse
from django.http import HttpResponse
from .models import Message
# Create your views here.
def post_message(request):
"""首页留言提交处理
"""
#如果用户客户端提交方法是POST
if request.method =='POST':
# 得到想要的数据项
name = request.POST.get('name', '')
... | 28.481481 | 66 | 0.592978 | from django.shortcuts import render, redirect, reverse
from django.http import HttpResponse
from .models import Message
def post_message(request):
if request.method =='POST':
name = request.POST.get('name', '')
email = request.POST.get('email','')
content = request.POST.get('m... | true | true |
08f51056b431ed003ac27664322301a36a445b58 | 4,887 | py | Python | timocom.bot/update.py | lour2002/timocom-delivery | e2b95604203897a0ca6d1899237691dd6070d906 | [
"MIT"
] | null | null | null | timocom.bot/update.py | lour2002/timocom-delivery | e2b95604203897a0ca6d1899237691dd6070d906 | [
"MIT"
] | null | null | null | timocom.bot/update.py | lour2002/timocom-delivery | e2b95604203897a0ca6d1899237691dd6070d906 | [
"MIT"
] | null | null | null | import os
import ssl
import sys
import certifi
import urllib3
import requests
from hashlib import md5
from urllib.request import urlretrieve
from requests.exceptions import ConnectionError
urllib3.disable_warnings()
url_update = 'https://kcilk.company/update/update.php'
url_md5hash = 'https://kcilk.company/update/md... | 37.592308 | 114 | 0.559648 | import os
import ssl
import sys
import certifi
import urllib3
import requests
from hashlib import md5
from urllib.request import urlretrieve
from requests.exceptions import ConnectionError
urllib3.disable_warnings()
url_update = 'https://kcilk.company/update/update.php'
url_md5hash = 'https://kcilk.company/update/md... | true | true |
08f5119e03ecf9116ff70093385d59b97d628704 | 1,673 | py | Python | predict.py | AnglewoodJack/data_science_champ_rtsoft_case | e3951115765254df5e04543abbb4edb0749d6fe0 | [
"MIT"
] | null | null | null | predict.py | AnglewoodJack/data_science_champ_rtsoft_case | e3951115765254df5e04543abbb4edb0749d6fe0 | [
"MIT"
] | null | null | null | predict.py | AnglewoodJack/data_science_champ_rtsoft_case | e3951115765254df5e04543abbb4edb0749d6fe0 | [
"MIT"
] | null | null | null | def predict(file_list, lock_period=None):
'''
'''
# ---------------------------------------------IMPORT-PACKAGES------------------------------------------------------
import pickle
import pandas as pd
import numpy as np
from preparation import data_preparation
from datetime import timedelta
# ---------------... | 30.418182 | 117 | 0.530185 | def predict(file_list, lock_period=None):
import pickle
import pandas as pd
import numpy as np
from preparation import data_preparation
from datetime import timedelta
with open('model.pickle', 'rb') as fp:
data, xgb, gbr = pickle.load(fp)
update = data_preparation(file_list, lock_period, impute=False)
... | true | true |
08f512d8acd7c3f73c2cfb1fb57c3f211bf2889f | 128 | py | Python | app/main_page/__init__.py | larsertoff/pwp | 1f156e3efc7b93345197329425e2928a470d3092 | [
"MIT"
] | null | null | null | app/main_page/__init__.py | larsertoff/pwp | 1f156e3efc7b93345197329425e2928a470d3092 | [
"MIT"
] | null | null | null | app/main_page/__init__.py | larsertoff/pwp | 1f156e3efc7b93345197329425e2928a470d3092 | [
"MIT"
] | null | null | null | import flask
main_page = flask.Blueprint('main_page', __name__, template_folder='templates')
from app.main_page import routes
| 21.333333 | 79 | 0.804688 | import flask
main_page = flask.Blueprint('main_page', __name__, template_folder='templates')
from app.main_page import routes
| true | true |
08f51345c078188538c1ada3ca673eb17f41b2f8 | 1,856 | py | Python | cme/modules/nopac.py | retr0-13/CrackMapExec | e9bcd09bd2c862200a40ecdc431fcf56f0ae5b67 | [
"BSD-2-Clause"
] | 3 | 2021-10-31T14:50:29.000Z | 2022-02-27T16:30:30.000Z | cme/modules/nopac.py | retr0-13/CrackMapExec | e9bcd09bd2c862200a40ecdc431fcf56f0ae5b67 | [
"BSD-2-Clause"
] | null | null | null | cme/modules/nopac.py | retr0-13/CrackMapExec | e9bcd09bd2c862200a40ecdc431fcf56f0ae5b67 | [
"BSD-2-Clause"
] | 1 | 2022-03-20T22:09:54.000Z | 2022-03-20T22:09:54.000Z | # Credit to https://exploit.ph/cve-2021-42287-cve-2021-42278-weaponisation.html
# @exploitph @Evi1cg
# module by @mpgn_x64
from binascii import unhexlify
from impacket.krb5.kerberosv5 import getKerberosTGT
from impacket.krb5 import constants
from impacket.krb5.types import Principal
class CMEModule:
name = 'nopa... | 51.555556 | 142 | 0.632543 |
from binascii import unhexlify
from impacket.krb5.kerberosv5 import getKerberosTGT
from impacket.krb5 import constants
from impacket.krb5.types import Principal
class CMEModule:
name = 'nopac'
description = "Check if the DC is vulnerable to CVE-2021-42278 and CVE-2021-42287 to impersonate DA from standard do... | true | true |
08f5136774c1cf9475dbc79c9cf4e57b309645e7 | 2,633 | py | Python | preprocessor/object_detection/fasterrcnn/test_fasterrcnn.py | koursaros-ai/hub | 481aca8deb083ea0ec47337977e866ca1bd88141 | [
"Apache-2.0"
] | 36 | 2019-08-17T00:23:02.000Z | 2021-08-18T12:12:59.000Z | preprocessor/object_detection/fasterrcnn/test_fasterrcnn.py | hanxiao/hub | 58fa158040be38d3f190d8dcdbd281f36d66c6c0 | [
"Apache-2.0"
] | 1 | 2019-10-24T05:09:45.000Z | 2019-10-24T05:09:45.000Z | preprocessor/object_detection/fasterrcnn/test_fasterrcnn.py | hanxiao/hub | 58fa158040be38d3f190d8dcdbd281f36d66c6c0 | [
"Apache-2.0"
] | 11 | 2019-10-22T05:15:14.000Z | 2020-04-25T16:04:01.000Z | # Tencent is pleased to support the open source community by making GNES available.
#
# Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a... | 44.627119 | 88 | 0.661603 |
import os
import unittest
import zipfile
from gnes.cli.parser import set_preprocessor_parser, _set_client_parser
from gnes.client.base import ZmqClient
from gnes.proto import gnes_pb2, RequestGenerator, blob2array
from gnes.service.base import ServiceManager
from gnes.service.preprocessor import PreprocessorService
... | true | true |
08f5138ccbcf6178fc2791ffbc81e47094b0f9f9 | 1,024 | py | Python | tasks/task2/2_2.py | eweilow/si1336-simulation-and-modeling | 98a8f4e8067a82584e8d6e4aa3b8c7bee6b0dc2b | [
"MIT"
] | null | null | null | tasks/task2/2_2.py | eweilow/si1336-simulation-and-modeling | 98a8f4e8067a82584e8d6e4aa3b8c7bee6b0dc2b | [
"MIT"
] | null | null | null | tasks/task2/2_2.py | eweilow/si1336-simulation-and-modeling | 98a8f4e8067a82584e8d6e4aa3b8c7bee6b0dc2b | [
"MIT"
] | 1 | 2020-11-05T08:07:06.000Z | 2020-11-05T08:07:06.000Z | import matplotlib.pyplot as plt
import numpy as np
from task_2_1 import run
# need results from 2_1 first here...
def sum(r, x0, round):
r, vals = run(r, x0, round)
summed = 0
for i in range(20, len(vals) - 1):
summed += np.log(vals[i+1] / vals[i])
return summed / (len(vals) - 20)
def runFo... | 23.813953 | 71 | 0.641602 | import matplotlib.pyplot as plt
import numpy as np
from task_2_1 import run
def sum(r, x0, round):
r, vals = run(r, x0, round)
summed = 0
for i in range(20, len(vals) - 1):
summed += np.log(vals[i+1] / vals[i])
return summed / (len(vals) - 20)
def runFor(x0, round=False):
rvals = np.lin... | true | true |
08f5138e37d5af63ba705dc72c4347756cdbf9b8 | 15,400 | py | Python | qbay/models.py | BerBer-alt/CISC327_Group8 | d4c1878a0944d92ac88b4ae077e5f0324cdeab09 | [
"MIT"
] | null | null | null | qbay/models.py | BerBer-alt/CISC327_Group8 | d4c1878a0944d92ac88b4ae077e5f0324cdeab09 | [
"MIT"
] | 24 | 2021-09-24T21:12:17.000Z | 2021-12-13T20:32:46.000Z | qbay/models.py | BerBer-alt/CISC327_Group8 | d4c1878a0944d92ac88b4ae077e5f0324cdeab09 | [
"MIT"
] | null | null | null | from qbay import app
from flask_sqlalchemy import SQLAlchemy
import re
from datetime import datetime
import difflib
db = SQLAlchemy(app)
# the class for user objects
class User(db.Model):
# email attribute with 120 maximum string length, can't be empty
email = db.Column(
db.String(120), unique=True, ... | 35.483871 | 79 | 0.644416 | from qbay import app
from flask_sqlalchemy import SQLAlchemy
import re
from datetime import datetime
import difflib
db = SQLAlchemy(app)
class User(db.Model):
email = db.Column(
db.String(120), unique=True, nullable=False,
primary_key=True)
# username attribute with 80 maximum string leng... | true | true |
08f51415c2b25c03283e090f68a0de7ad13b6aea | 772 | py | Python | kronos_modeller/kronos_modeller/plot_handler.py | ecmwf/kronos | 4f8c896baa634fc937f866d2bd05b438106c1663 | [
"Apache-2.0"
] | 4 | 2020-09-15T15:16:17.000Z | 2021-08-17T14:02:28.000Z | kronos_modeller/kronos_modeller/plot_handler.py | ecmwf/kronos | 4f8c896baa634fc937f866d2bd05b438106c1663 | [
"Apache-2.0"
] | 4 | 2020-09-12T07:22:35.000Z | 2020-10-13T17:08:35.000Z | kronos_modeller/kronos_modeller/plot_handler.py | ecmwf/kronos | 4f8c896baa634fc937f866d2bd05b438106c1663 | [
"Apache-2.0"
] | null | null | null | # (C) Copyright 1996-2018 ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergov... | 32.166667 | 80 | 0.735751 |
class PlotHandler(object):
fig_handle_ID = 0
@staticmethod
def get_fig_handle_ID():
PlotHandler.fig_handle_ID = PlotHandler.fig_handle_ID + 1
return PlotHandler.fig_handle_ID
@staticmethod
def print_fig_handle_ID():
print("PlotHandler.fig_handle_ID: ", PlotHandler.fig_h... | true | true |
08f5141850361f3cbb9b437305f5fc7c7b9f019d | 9,835 | py | Python | yasc/utils.py | asmyczek/YASC | 4f9f889980f4413872f70eb3e40b618e4a0db4b1 | [
"MIT"
] | 1 | 2021-05-27T14:38:16.000Z | 2021-05-27T14:38:16.000Z | yasc/utils.py | asmyczek/YASC | 4f9f889980f4413872f70eb3e40b618e4a0db4b1 | [
"MIT"
] | null | null | null | yasc/utils.py | asmyczek/YASC | 4f9f889980f4413872f70eb3e40b618e4a0db4b1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from enum import Enum
from logging import StreamHandler
from logging.handlers import RotatingFileHandler
from collections import namedtuple, deque
from pathlib import Path
from multiprocessing import Lock, Value
from datetime import datetime
from queue import Queue
import logging
import json
im... | 31.931818 | 113 | 0.650534 |
from enum import Enum
from logging import StreamHandler
from logging.handlers import RotatingFileHandler
from collections import namedtuple, deque
from pathlib import Path
from multiprocessing import Lock, Value
from datetime import datetime
from queue import Queue
import logging
import json
import sys
import os
cla... | true | true |
08f514a8613bc5b9d02b0d8f4dae2268f3eead60 | 3,036 | py | Python | openstack_dashboard/dashboards/settings/password/forms.py | spandanb/horizon | 4a96f2e2a2b087508c369e0bea891a29829a673d | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/dashboards/settings/password/forms.py | spandanb/horizon | 4a96f2e2a2b087508c369e0bea891a29829a673d | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/dashboards/settings/password/forms.py | spandanb/horizon | 4a96f2e2a2b087508c369e0bea891a29829a673d | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Centrin Data Systems Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 42.760563 | 78 | 0.649209 |
from django.conf import settings
from django.forms import ValidationError from django import http
from django.utils.translation import ugettext_lazy as _
from django.views.decorators.debug import sensitive_variables
from horizon import exceptions
from horizon import forms
from horizon import messages
from horizon.u... | true | true |
08f515f28cbcc6d806a991ce956ee1cf5952e7ef | 378 | py | Python | fibonacci.py | shuraj123/radius-program | 1c5b89245f27e99adac916820b3dbb779b8d01c6 | [
"MIT"
] | 2 | 2021-05-28T16:46:35.000Z | 2021-05-28T16:46:37.000Z | fibonacci.py | shuraj123/radius-program | 1c5b89245f27e99adac916820b3dbb779b8d01c6 | [
"MIT"
] | null | null | null | fibonacci.py | shuraj123/radius-program | 1c5b89245f27e99adac916820b3dbb779b8d01c6 | [
"MIT"
] | null | null | null | n = int(input("enter how many no of terms :"))
n1,n2 = 0,1
count = 0
if n <= 0 :
print("please enter a positive number:")
elif n==1:
print("Fibonacci sequence upto",nterms,":")
print(n1)
else:
print("fibonacci numbers of sequence are :")
while count < n:
print(n1)
n3... | 22.235294 | 50 | 0.52381 | n = int(input("enter how many no of terms :"))
n1,n2 = 0,1
count = 0
if n <= 0 :
print("please enter a positive number:")
elif n==1:
print("Fibonacci sequence upto",nterms,":")
print(n1)
else:
print("fibonacci numbers of sequence are :")
while count < n:
print(n1)
n3... | true | true |
08f517e10b88c9ca08456b3ebf0489268e60da02 | 4,634 | py | Python | hackday/teams/models.py | mpirnat/hackday | 82a13665e2d93c80d6dfb1a1d5602495d01a243e | [
"MIT"
] | 4 | 2015-05-21T19:44:09.000Z | 2019-12-03T11:07:03.000Z | hackday/teams/models.py | mpirnat/hackday | 82a13665e2d93c80d6dfb1a1d5602495d01a243e | [
"MIT"
] | 3 | 2020-02-11T21:47:49.000Z | 2021-06-10T17:28:44.000Z | hackday/teams/models.py | mpirnat/hackday | 82a13665e2d93c80d6dfb1a1d5602495d01a243e | [
"MIT"
] | 2 | 2016-01-05T13:39:09.000Z | 2017-02-19T09:31:58.000Z | import time
from django.contrib.auth.models import User
from django.db import models
from django import forms
from django.template.defaultfilters import slugify
from hackday.assets.models import Attachment, ImageAttachment, Link
from hackday.charities.models import Charity
from hackday.voting.moremodels import Catego... | 30.893333 | 79 | 0.65451 | import time
from django.contrib.auth.models import User
from django.db import models
from django import forms
from django.template.defaultfilters import slugify
from hackday.assets.models import Attachment, ImageAttachment, Link
from hackday.charities.models import Charity
from hackday.voting.moremodels import Catego... | true | true |
08f517e4215d9f77c78f556dcc4200b8f90a77db | 1,525 | py | Python | backend/django/core/migrations/0012_projectpermissions.py | RTIInternational/SMART | c95eaa088df33bac95aababdc560c10422eed6e3 | [
"MIT"
] | 185 | 2018-10-01T16:38:35.000Z | 2022-03-16T14:39:04.000Z | backend/django/core/migrations/0012_projectpermissions.py | RTIInternational/SMART | c95eaa088df33bac95aababdc560c10422eed6e3 | [
"MIT"
] | 93 | 2018-12-07T15:33:44.000Z | 2022-03-09T15:19:08.000Z | backend/django/core/migrations/0012_projectpermissions.py | RTIInternational/SMART | c95eaa088df33bac95aababdc560c10422eed6e3 | [
"MIT"
] | 30 | 2019-03-04T05:44:44.000Z | 2022-03-19T17:07:14.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-09-18 17:09
from __future__ import unicode_literals
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_depende... | 29.326923 | 86 | 0.427541 | from __future__ import unicode_literals
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
("core", "0011_merge_20170918_1650... | true | true |
08f5182e5228fb3a317556e398bdbcf812042fcc | 4,889 | py | Python | qutip/tests/test_entropy.py | trxw/qutip | b923c973edd9a071d86eb849650661549f73585f | [
"BSD-3-Clause"
] | 1 | 2015-11-06T06:35:06.000Z | 2015-11-06T06:35:06.000Z | qutip/tests/test_entropy.py | trxw/qutip | b923c973edd9a071d86eb849650661549f73585f | [
"BSD-3-Clause"
] | null | null | null | qutip/tests/test_entropy.py | trxw/qutip | b923c973edd9a071d86eb849650661549f73585f | [
"BSD-3-Clause"
] | null | null | null | # This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met... | 37.899225 | 79 | 0.617713 |
from qutip import *
from numpy import allclose, linspace, log2
from numpy.testing import assert_, assert_equal, run_module_suite
def test_EntropyVN():
a = linspace(0, 1, 20)
for k in range(len(a)):
x = a[k] * ket2dm(basis(2, 0))
y = (1 - a[k]) * ket2dm(basis(2, 1))
... | true | true |
08f51842d12c04cf0219c7216ab5ff357e2393bc | 3,001 | py | Python | hcec/edwards/testdata/ed25519.py | duwu/hcd | 590966016bc42f9d043c16ad8438148ca40eff89 | [
"ISC"
] | 131 | 2018-07-19T13:01:41.000Z | 2021-12-26T12:27:33.000Z | hcec/edwards/testdata/ed25519.py | duwu/hcd | 590966016bc42f9d043c16ad8438148ca40eff89 | [
"ISC"
] | 32 | 2018-07-28T17:53:34.000Z | 2022-01-06T05:32:46.000Z | hcec/edwards/testdata/ed25519.py | duwu/hcd | 590966016bc42f9d043c16ad8438148ca40eff89 | [
"ISC"
] | 101 | 2018-08-22T03:31:11.000Z | 2022-03-17T09:01:24.000Z | import hashlib
b = 256
q = 2**255 - 19
l = 2**252 + 27742317777372353535851937790883648493
def H(m):
return hashlib.sha512(m).digest()
def expmod(b,e,m):
if e == 0: return 1
t = expmod(b,e/2,m)**2 % m
if e & 1: t = (t*b) % m
return t
def inv(x):
return expmod(x,q-2,q)
d = -121665 * in... | 24.598361 | 91 | 0.534822 | import hashlib
b = 256
q = 2**255 - 19
l = 2**252 + 27742317777372353535851937790883648493
def H(m):
return hashlib.sha512(m).digest()
def expmod(b,e,m):
if e == 0: return 1
t = expmod(b,e/2,m)**2 % m
if e & 1: t = (t*b) % m
return t
def inv(x):
return expmod(x,q-2,q)
d = -121665 * in... | false | true |
08f5184de14eac6198a376fd6a9209213d72cbf0 | 390 | py | Python | users/migrations/0006_pic_faces.py | nhy17-thu/ImageProcessingWebsite | d90eaf115c870dd359bf5315f7b56f042270f31f | [
"MIT"
] | 1 | 2021-03-29T12:40:39.000Z | 2021-03-29T12:40:39.000Z | users/migrations/0006_pic_faces.py | nhy17-thu/FinalProject_Upgrade | d90eaf115c870dd359bf5315f7b56f042270f31f | [
"MIT"
] | null | null | null | users/migrations/0006_pic_faces.py | nhy17-thu/FinalProject_Upgrade | d90eaf115c870dd359bf5315f7b56f042270f31f | [
"MIT"
] | 1 | 2021-03-29T12:40:42.000Z | 2021-03-29T12:40:42.000Z | # Generated by Django 2.2.4 on 2019-09-13 06:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0005_auto_20190911_2212'),
]
operations = [
migrations.AddField(
model_name='pic',
name='faces',
... | 20.526316 | 62 | 0.589744 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0005_auto_20190911_2212'),
]
operations = [
migrations.AddField(
model_name='pic',
name='faces',
field=models.ImageField(blank=True, upload_to=... | true | true |
08f51885f1d5299ca8ae85d211fc75ae5fea7b5b | 19,354 | py | Python | src/tests/api/test_permissions.py | gnomus/pretix | 9a9ae3e7807c5fce12adeabf5e2bb81e6b32fb38 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/tests/api/test_permissions.py | gnomus/pretix | 9a9ae3e7807c5fce12adeabf5e2bb81e6b32fb38 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/tests/api/test_permissions.py | gnomus/pretix | 9a9ae3e7807c5fce12adeabf5e2bb81e6b32fb38 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import time
import pytest
from django.test import override_settings
from django.utils.timezone import now
from pretix.base.models import Organizer
event_urls = [
(None, ''),
(None, 'categories/'),
('can_view_orders', 'invoices/'),
(None, 'items/'),
('can_view_orders', 'orders/'),
('can_view_o... | 41.532189 | 118 | 0.677844 | import time
import pytest
from django.test import override_settings
from django.utils.timezone import now
from pretix.base.models import Organizer
event_urls = [
(None, ''),
(None, 'categories/'),
('can_view_orders', 'invoices/'),
(None, 'items/'),
('can_view_orders', 'orders/'),
('can_view_o... | true | true |
08f518cad0229a199b0cc56117385b0234415580 | 1,659 | py | Python | scripts/deregister_peer.py | mookkiah/docker-opendj | 21efb729cb71c04481be8bd1574b1c3bead52ec2 | [
"Apache-2.0"
] | null | null | null | scripts/deregister_peer.py | mookkiah/docker-opendj | 21efb729cb71c04481be8bd1574b1c3bead52ec2 | [
"Apache-2.0"
] | null | null | null | scripts/deregister_peer.py | mookkiah/docker-opendj | 21efb729cb71c04481be8bd1574b1c3bead52ec2 | [
"Apache-2.0"
] | null | null | null | import contextlib
# import json
import logging.config
import os
from pygluu.containerlib import get_manager
from pygluu.containerlib.utils import exec_cmd
from settings import LOGGING_CONFIG
from utils import deregister_serf_peer
from utils import guess_serf_addr
DEFAULT_ADMIN_PW_PATH = "/opt/opendj/.pw"
logging.co... | 25.523077 | 102 | 0.640747 | import contextlib
import logging.config
import os
from pygluu.containerlib import get_manager
from pygluu.containerlib.utils import exec_cmd
from settings import LOGGING_CONFIG
from utils import deregister_serf_peer
from utils import guess_serf_addr
DEFAULT_ADMIN_PW_PATH = "/opt/opendj/.pw"
logging.config.dictConfi... | true | true |
08f519b9d12cdf02e0e057fb5a890358ebffe090 | 1,650 | py | Python | utilities/utils/random_code.py | annusgit/forestcoverUnet | 8ba4eafc6e5d637d3b08fa20d029e25173f96074 | [
"MIT"
] | 25 | 2018-09-13T09:37:14.000Z | 2021-12-07T07:12:56.000Z | utilities/utils/random_code.py | annusgit/forestcoverUnet | 8ba4eafc6e5d637d3b08fa20d029e25173f96074 | [
"MIT"
] | null | null | null | utilities/utils/random_code.py | annusgit/forestcoverUnet | 8ba4eafc6e5d637d3b08fa20d029e25173f96074 | [
"MIT"
] | 6 | 2018-09-04T15:26:26.000Z | 2021-09-14T12:42:43.000Z |
"""
Get the data in npy files in ~/Desktop/rit18_data and show as png files
"""
from __future__ import print_function
from __future__ import division
import os
import cv2
import numpy as np
from PIL import Image
from scipy.misc import imsave
import matplotlib.pyplot as plt
def resize(arr):
return np.resiz... | 22.916667 | 75 | 0.566667 |
from __future__ import print_function
from __future__ import division
import os
import cv2
import numpy as np
from PIL import Image
from scipy.misc import imsave
import matplotlib.pyplot as plt
def resize(arr):
return np.resize(arr, new_shape=(800, 800)).astype(np.uint16)
def rescale(arr):
return (255 / ... | true | true |
08f519e296efce6c9674cb8c8d6864d0f629a096 | 1,887 | py | Python | plato/draw/matplotlib/DiskUnions.py | hillarypan/plato | 181ad0e0e00b0b7486fa364200a8187d879a450e | [
"BSD-3-Clause"
] | null | null | null | plato/draw/matplotlib/DiskUnions.py | hillarypan/plato | 181ad0e0e00b0b7486fa364200a8187d879a450e | [
"BSD-3-Clause"
] | null | null | null | plato/draw/matplotlib/DiskUnions.py | hillarypan/plato | 181ad0e0e00b0b7486fa364200a8187d879a450e | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from ... import draw
from .internal import PatchUser
from matplotlib.patches import Circle, Wedge
from matplotlib.transforms import Affine2D
class DiskUnions(draw.DiskUnions, PatchUser):
__doc__ = draw.DiskUnions.__doc__
def _render_patches(self, axes, aa_pixel_size=0, **kwargs):
re... | 39.3125 | 99 | 0.618442 | import numpy as np
from ... import draw
from .internal import PatchUser
from matplotlib.patches import Circle, Wedge
from matplotlib.transforms import Affine2D
class DiskUnions(draw.DiskUnions, PatchUser):
__doc__ = draw.DiskUnions.__doc__
def _render_patches(self, axes, aa_pixel_size=0, **kwargs):
re... | true | true |
08f51aa3eb84b9260f0e785e12b9ae1665b7ede9 | 6,164 | py | Python | extensions/sensorchecks/generic_sensorcheck.py | holitics/phenome-extensions | 230d1494d0f0d7a1d747cb8af9413df46d8d0e25 | [
"Apache-2.0"
] | 1 | 2019-11-22T18:15:39.000Z | 2019-11-22T18:15:39.000Z | extensions/sensorchecks/generic_sensorcheck.py | holitics/phenome-extensions | 230d1494d0f0d7a1d747cb8af9413df46d8d0e25 | [
"Apache-2.0"
] | 1 | 2020-02-29T03:13:39.000Z | 2020-02-29T03:19:29.000Z | extensions/sensorchecks/generic_sensorcheck.py | holitics/phenome-extensions | 230d1494d0f0d7a1d747cb8af9413df46d8d0e25 | [
"Apache-2.0"
] | null | null | null | # generic_sensorcheck.py, Copyright (c) 2019, Nicholas Saparoff <nick.saparoff@gmail.com>: Original implementation
from phenome_core.core.base.base_action import BaseAction
from phenome_core.core.base.healthscore import compute_health_score, add_health_score
from phenome_core.util import math_functions
from phenome_co... | 35.630058 | 125 | 0.626217 |
from phenome_core.core.base.base_action import BaseAction
from phenome_core.core.base.healthscore import compute_health_score, add_health_score
from phenome_core.util import math_functions
from phenome_core.core.parsers.generic_argument_parser import GenericArgumentParser
from phenome_core.util.base_evaluator import B... | true | true |
08f51ae1533bde82d1189ba570571d034f47f33f | 18,588 | py | Python | swe/interface.py | SebastianoF/pyro2 | 9d1787c2ee25d735a414db3da8c00287743a6fde | [
"BSD-3-Clause"
] | 151 | 2018-08-14T12:52:22.000Z | 2022-03-29T07:57:01.000Z | swe/interface.py | SebastianoF/pyro2 | 9d1787c2ee25d735a414db3da8c00287743a6fde | [
"BSD-3-Clause"
] | 40 | 2015-03-25T15:45:44.000Z | 2018-07-30T18:48:47.000Z | swe/interface.py | SebastianoF/pyro2 | 9d1787c2ee25d735a414db3da8c00287743a6fde | [
"BSD-3-Clause"
] | 56 | 2018-10-10T16:54:59.000Z | 2022-02-06T08:48:52.000Z | import numpy as np
from numba import njit
@njit(cache=True)
def states(idir, ng, dx, dt,
ih, iu, iv, ix, nspec,
g,
qv, dqv):
r"""
predict the cell-centered state to the edges in one-dimension
using the reconstructed, limited slopes.
We follow the convection here that ... | 32.103627 | 117 | 0.447547 | import numpy as np
from numba import njit
@njit(cache=True)
def states(idir, ng, dx, dt,
ih, iu, iv, ix, nspec,
g,
qv, dqv):
qx, qy, nvar = qv.shape
q_l = np.zeros_like(qv)
q_r = np.zeros_like(qv)
lvec = np.zeros((nvar, nvar))
rvec = np.zeros((nvar, nvar))
e... | true | true |
08f51ba86948f5cf1e21a6bcc003ee1bd0c5ea8b | 5,461 | py | Python | deepchem/molnet/load_function/kaggle_datasets.py | ueser/deepchem | bc6494054f6d0c3e147489ac880143c4c0e5b90f | [
"MIT"
] | 1 | 2018-07-03T07:35:17.000Z | 2018-07-03T07:35:17.000Z | deepchem/molnet/load_function/kaggle_datasets.py | ueser/deepchem | bc6494054f6d0c3e147489ac880143c4c0e5b90f | [
"MIT"
] | null | null | null | deepchem/molnet/load_function/kaggle_datasets.py | ueser/deepchem | bc6494054f6d0c3e147489ac880143c4c0e5b90f | [
"MIT"
] | 1 | 2021-12-10T22:37:54.000Z | 2021-12-10T22:37:54.000Z | """
KAGGLE dataset loader.
"""
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import time
import numpy as np
import deepchem
from deepchem.molnet.load_function.kaggle_features import merck_descriptors
def remove_missing_entries(dataset):
"""... | 36.651007 | 120 | 0.68156 | from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import time
import numpy as np
import deepchem
from deepchem.molnet.load_function.kaggle_features import merck_descriptors
def remove_missing_entries(dataset):
for i, (X, y, w, ids) in enumerate... | true | true |
08f51cb563a35a3be7e201500324ead507d32099 | 4,047 | py | Python | third_party/phkit/phkit/english/__init__.py | zh794390558/DeepSpeech | 34178893327ad359cb816e55d7c66a10244fa08a | [
"Apache-2.0"
] | null | null | null | third_party/phkit/phkit/english/__init__.py | zh794390558/DeepSpeech | 34178893327ad359cb816e55d7c66a10244fa08a | [
"Apache-2.0"
] | null | null | null | third_party/phkit/phkit/english/__init__.py | zh794390558/DeepSpeech | 34178893327ad359cb816e55d7c66a10244fa08a | [
"Apache-2.0"
] | null | null | null | """
### english
from https://github.com/keithito/tacotron "
Cleaners are transformations that run over the input text at both training and eval time.
Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
hyperparameter. Some cleaners are English-specific. You'll typically want ... | 34.589744 | 95 | 0.636768 | import re
import random
from . import cleaners
from .symbols import symbols
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}
_curly_re = re.compile(r'(.*?)\{(.+?)\}(.*)')
def get_arpabet(word, dictionary):
word_arpabet = dictionary.lookup(word)
if w... | true | true |
08f51d23de0954e5c0ed2e7ef975fea539f7bbdb | 6,183 | py | Python | Project/train/train.py | wwymak/sagemaker-deployment | e2c81ab5044fc3653e133ffabb5478fb4eddc7fe | [
"MIT"
] | null | null | null | Project/train/train.py | wwymak/sagemaker-deployment | e2c81ab5044fc3653e133ffabb5478fb4eddc7fe | [
"MIT"
] | null | null | null | Project/train/train.py | wwymak/sagemaker-deployment | e2c81ab5044fc3653e133ffabb5478fb4eddc7fe | [
"MIT"
] | null | null | null | import argparse
import json
import os
import pickle
import sys
import sagemaker_containers
import pandas as pd
import torch
import torch.optim as optim
import torch.utils.data
from model import LSTMClassifier
def model_fn(model_dir):
"""Load the PyTorch model from the `model_dir` directory."""
print("Loading ... | 37.70122 | 107 | 0.657124 | import argparse
import json
import os
import pickle
import sys
import sagemaker_containers
import pandas as pd
import torch
import torch.optim as optim
import torch.utils.data
from model import LSTMClassifier
def model_fn(model_dir):
print("Loading model.")
model_info = {}
model_info_path = os.path.j... | true | true |
08f51ea14dd1db5a590aa43ba833b7b47aa5fd4b | 2,899 | py | Python | galaxy/objectstore/pulsar.py | jmchilton/pulsar | 783b90cf0bce893a11c347fcaf6778b98e0bb062 | [
"Apache-2.0"
] | null | null | null | galaxy/objectstore/pulsar.py | jmchilton/pulsar | 783b90cf0bce893a11c347fcaf6778b98e0bb062 | [
"Apache-2.0"
] | 1 | 2015-02-21T18:48:19.000Z | 2015-02-27T15:50:32.000Z | galaxy/objectstore/pulsar.py | jmchilton/pulsar | 783b90cf0bce893a11c347fcaf6778b98e0bb062 | [
"Apache-2.0"
] | 3 | 2015-02-22T13:34:16.000Z | 2020-10-01T01:28:04.000Z | from __future__ import absolute_import # Need to import pulsar_client absolutely.
from ..objectstore import ObjectStore
from pulsar.client.manager import ObjectStoreClientManager
class PulsarObjectStore(ObjectStore):
"""
Object store implementation that delegates to a remote Pulsar server.
This may be m... | 39.175676 | 94 | 0.70783 | from __future__ import absolute_import from ..objectstore import ObjectStore
from pulsar.client.manager import ObjectStoreClientManager
class PulsarObjectStore(ObjectStore):
def __init__(self, config, config_xml):
self.pulsar_client = self.__build_pulsar_client(config_xml)
def exists(self, obj, **k... | true | true |
08f51edb33bd7a1d2e1c2d9045d3d748fb0605e3 | 3,120 | py | Python | sunnysouth/marketplace/views/users.py | EdwinBaezaDev/sunnysouthapp | a4a37452196db2a35b3c639ab38e62ce594ec29f | [
"MIT"
] | null | null | null | sunnysouth/marketplace/views/users.py | EdwinBaezaDev/sunnysouthapp | a4a37452196db2a35b3c639ab38e62ce594ec29f | [
"MIT"
] | null | null | null | sunnysouth/marketplace/views/users.py | EdwinBaezaDev/sunnysouthapp | a4a37452196db2a35b3c639ab38e62ce594ec29f | [
"MIT"
] | null | null | null | """Users views."""
# Django REST Framework
from rest_framework import mixins, status, viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework.permissions import (
AllowAny,
IsAuthenticated,
)
from rest_framework.exceptions import PermissionDenied
f... | 30.891089 | 80 | 0.708013 |
from rest_framework import mixins, status, viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework.permissions import (
AllowAny,
IsAuthenticated,
)
from rest_framework.exceptions import PermissionDenied
from rest_framework.views import APIView
fro... | true | true |
08f52036a64d4907e3f00db70a2c3bd15cae35bf | 405 | py | Python | p041.py | scottwillmoore/project-euler | e8b24a72d88fc30e8ab701e2f56622c363600ea4 | [
"MIT"
] | 1 | 2018-07-09T09:19:58.000Z | 2018-07-09T09:19:58.000Z | p041.py | scottwillmoore/project-euler | e8b24a72d88fc30e8ab701e2f56622c363600ea4 | [
"MIT"
] | null | null | null | p041.py | scottwillmoore/project-euler | e8b24a72d88fc30e8ab701e2f56622c363600ea4 | [
"MIT"
] | null | null | null | from itertools import permutations
def is_prime(n):
if n < 2:
return False
for x in range(2, int(n ** 0.5) + 1):
if n % x == 0:
return False
return True
pandigitals = []
for n in range(1, 10):
digits = [str(n) for n in range(1, n + 1)]
pandigitals += list(map(lambda t... | 21.315789 | 77 | 0.582716 | from itertools import permutations
def is_prime(n):
if n < 2:
return False
for x in range(2, int(n ** 0.5) + 1):
if n % x == 0:
return False
return True
pandigitals = []
for n in range(1, 10):
digits = [str(n) for n in range(1, n + 1)]
pandigitals += list(map(lambda t... | true | true |
08f521fe8cd3aa66ead9d75fb9bf738ff32941f5 | 4,361 | py | Python | test/frame/noise/test_action_space_noise.py | lorenzosteccanella/machin | 9d3ce87dbed820b5019211b0690b54613084d9e4 | [
"MIT"
] | 287 | 2020-06-13T05:19:50.000Z | 2022-03-31T04:46:32.000Z | test/frame/noise/test_action_space_noise.py | ikamensh/machin | af7b423c47bc1412530cf6c96c11bd3af9b3e239 | [
"MIT"
] | 19 | 2020-08-19T05:33:45.000Z | 2022-03-27T15:16:03.000Z | test/frame/noise/test_action_space_noise.py | ikamensh/machin | af7b423c47bc1412530cf6c96c11bd3af9b3e239 | [
"MIT"
] | 44 | 2020-07-06T00:41:44.000Z | 2022-03-29T17:05:08.000Z | from machin.frame.noise.action_space_noise import (
add_normal_noise_to_action,
add_clipped_normal_noise_to_action,
add_uniform_noise_to_action,
add_ou_noise_to_action,
)
import pytest
import torch as t
class TestAllActionSpaceNoise:
###############################################################... | 38.254386 | 86 | 0.522587 | from machin.frame.noise.action_space_noise import (
add_normal_noise_to_action,
add_clipped_normal_noise_to_action,
add_uniform_noise_to_action,
add_ou_noise_to_action,
)
import pytest
import torch as t
class TestAllActionSpaceNoise:
param_add_normal_noise_to_action = [
(t.zer... | true | true |
08f52305d640784da8d8fb26cf618726da107b3a | 2,357 | py | Python | spark_mapinput.py | pw2393/spark-bitcoin-parser | 320eb30ffcc462b0607655d2f4002a82590fd120 | [
"MIT"
] | 11 | 2017-09-29T05:37:57.000Z | 2022-02-04T06:34:17.000Z | spark_mapinput.py | pw2393/spark-bitcoin-parser | 320eb30ffcc462b0607655d2f4002a82590fd120 | [
"MIT"
] | 2 | 2018-07-03T12:19:50.000Z | 2019-10-19T21:24:53.000Z | spark_mapinput.py | pw2393/spark-bitcoin-parser | 320eb30ffcc462b0607655d2f4002a82590fd120 | [
"MIT"
] | 3 | 2019-11-09T13:01:07.000Z | 2021-12-03T04:20:29.000Z | """
Author: Peng Wu
License: MIT
"""
# Initialize Spark Context: local multi-threads
from pyspark import SparkConf, SparkContext
output_folder = './csv/'
def main():
# Initialize Spark Context: local multi-threads
conf = SparkConf().setAppName("BTC-InputMapper")
sc = SparkContext(conf=conf)
# Load... | 28.39759 | 117 | 0.602036 | """
Author: Peng Wu
License: MIT
"""
from pyspark import SparkConf, SparkContext
output_folder = './csv/'
def main():
conf = SparkConf().setAppName("BTC-InputMapper")
sc = SparkContext(conf=conf)
def parse_outputs(line):
"""
schema:
txhash, nid, value, addr
... | false | true |
08f5231c8fe42b057ed518438c1ad30b5effb556 | 1,034 | py | Python | mapping.py | arch-cl0wn/Packmax | 0b765562d02309775df60f13a5c5bc230cb835c4 | [
"Unlicense"
] | 1 | 2022-01-22T10:31:39.000Z | 2022-01-22T10:31:39.000Z | mapping.py | arch-cl0wn/Packmax | 0b765562d02309775df60f13a5c5bc230cb835c4 | [
"Unlicense"
] | null | null | null | mapping.py | arch-cl0wn/Packmax | 0b765562d02309775df60f13a5c5bc230cb835c4 | [
"Unlicense"
] | null | null | null | import collections
tnum=int(input("Enter the number of trucks: "))
tlist_dimensions=[]
truck_dict={}
for i in range(tnum):
tlist_dimensions.append(float(input("Enter the length: ")))
tlist_dimensions.append(float(input("Enter the breadth: ")))
tlist_dimensions.append(float(input("Enter the height: ")))
... | 29.542857 | 90 | 0.713733 | import collections
tnum=int(input("Enter the number of trucks: "))
tlist_dimensions=[]
truck_dict={}
for i in range(tnum):
tlist_dimensions.append(float(input("Enter the length: ")))
tlist_dimensions.append(float(input("Enter the breadth: ")))
tlist_dimensions.append(float(input("Enter the height: ")))
... | true | true |
08f5239ac9c53e289a5aff115851f63cd76299cb | 2,060 | py | Python | 2020/src/day11b.py | Sujatha-Nagarajan/AdventOfCode | afce23c74fd0a72caa29c1604a582b21806e794e | [
"CC0-1.0"
] | 1 | 2020-12-05T06:14:37.000Z | 2020-12-05T06:14:37.000Z | 2020/src/day11b.py | Sujatha-Nagarajan/AdventOfCode | afce23c74fd0a72caa29c1604a582b21806e794e | [
"CC0-1.0"
] | null | null | null | 2020/src/day11b.py | Sujatha-Nagarajan/AdventOfCode | afce23c74fd0a72caa29c1604a582b21806e794e | [
"CC0-1.0"
] | null | null | null | from util import *
from collections import defaultdict
class GoOutException(Exception):
pass
lines = get_file_contents("../input/day11-sample.txt", False)
lines = get_file_contents("../input/day11.txt", False)
# start profiling
start_profiling()
def occupied_or_empty(row, col, rowinc, colinc):
p = row
... | 22.150538 | 65 | 0.474757 | from util import *
from collections import defaultdict
class GoOutException(Exception):
pass
lines = get_file_contents("../input/day11-sample.txt", False)
lines = get_file_contents("../input/day11.txt", False)
start_profiling()
def occupied_or_empty(row, col, rowinc, colinc):
p = row
m = col
w... | true | true |
08f523c4abe909ef500adec76786ecc682e7f3ad | 1,051 | py | Python | Two Pointers/019. Remove Nth Node From End of List.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | 138 | 2020-02-08T05:25:26.000Z | 2021-11-04T11:59:28.000Z | Two Pointers/019. Remove Nth Node From End of List.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | null | null | null | Two Pointers/019. Remove Nth Node From End of List.py | beckswu/Leetcode | 480e8dc276b1f65961166d66efa5497d7ff0bdfd | [
"MIT"
] | 24 | 2021-01-02T07:18:43.000Z | 2022-03-20T08:17:54.000Z | """
19. Remove Nth Node From End of List
Given linked list: 1->2->3->4->5, and n = 2.
After removing the second node from the end, the linked list becomes 1->2->3->5.
"""
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
... | 25.634146 | 122 | 0.52902 |
class Solution:
def removeNthFromEnd(self, head, n):
fast, slow = head, head
while n>0:
fast = fast.next
n-=1 if not fast: return head.next while fast and fast.next:
fast = fast.next
slow = slow.next
slow.next = slow... | true | true |
08f52411bf969e17bd9f21eddfed97f37942bf63 | 20 | py | Python | test.py | zhouliang666/py18 | 33ccbaf5cd8705bc28858ee0bee37bd73a72b8ff | [
"MIT"
] | null | null | null | test.py | zhouliang666/py18 | 33ccbaf5cd8705bc28858ee0bee37bd73a72b8ff | [
"MIT"
] | null | null | null | test.py | zhouliang666/py18 | 33ccbaf5cd8705bc28858ee0bee37bd73a72b8ff | [
"MIT"
] | null | null | null | num2 = 10
num3 = 30
| 6.666667 | 9 | 0.6 | num2 = 10
num3 = 30
| true | true |
08f52479252d36050b42c1856134f8145588d850 | 7,261 | py | Python | publications_bootstrap/admin_views/import_bibtex.py | jchoude/django-publications-bootstrap | 327bda308259c4ce98094690e875b919b3945681 | [
"MIT"
] | 13 | 2017-09-19T11:33:39.000Z | 2022-03-13T21:26:11.000Z | publications_bootstrap/admin_views/import_bibtex.py | jchoude/django-publications-bootstrap | 327bda308259c4ce98094690e875b919b3945681 | [
"MIT"
] | 44 | 2017-03-01T17:52:27.000Z | 2020-05-23T15:43:34.000Z | publications_bootstrap/admin_views/import_bibtex.py | jchoude/django-publications-bootstrap | 327bda308259c4ce98094690e875b919b3945681 | [
"MIT"
] | 4 | 2018-01-17T20:29:56.000Z | 2022-02-21T13:32:35.000Z | # -*- coding: utf-8 -*-
import re
from django.contrib import messages
from django.contrib.admin.views.decorators import staff_member_required
from django.http import HttpResponseRedirect
from django.shortcuts import render
from django_countries import countries
from ..bibtex import parse
from ..models import Publica... | 37.045918 | 112 | 0.433687 |
import re
from django.contrib import messages
from django.contrib.admin.views.decorators import staff_member_required
from django.http import HttpResponseRedirect
from django.shortcuts import render
from django_countries import countries
from ..bibtex import parse
from ..models import Publication, Type
MONTHS = {
... | true | true |
08f5251143217adfc80d3d16641a2b4e6c402c5f | 2,647 | py | Python | synaction/detect_pose_folder.py | dbash/umi2i_correctness | 34d794c95a1226db80aa07634b1cfae442b7abc8 | [
"MIT"
] | 2 | 2022-01-05T13:07:38.000Z | 2022-03-05T17:23:24.000Z | synaction/detect_pose_folder.py | dbash/umi2i_correctness | 34d794c95a1226db80aa07634b1cfae442b7abc8 | [
"MIT"
] | null | null | null | synaction/detect_pose_folder.py | dbash/umi2i_correctness | 34d794c95a1226db80aa07634b1cfae442b7abc8 | [
"MIT"
] | null | null | null | import sys
import glob
import tqdm
import imageio
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
tfl_url = 'https://storage.googleapis.com/download.tensorflow.org/models/tflite/posenet_mobilenet_v1_100_257x257_multi_kpt_stripped.tflite'
def run_posenet(*inputs):
tfl_path = tf.keras.uti... | 34.376623 | 139 | 0.705705 | import sys
import glob
import tqdm
import imageio
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
tfl_url = 'https://storage.googleapis.com/download.tensorflow.org/models/tflite/posenet_mobilenet_v1_100_257x257_multi_kpt_stripped.tflite'
def run_posenet(*inputs):
tfl_path = tf.keras.uti... | true | true |
08f52545267754ecc900fb977e35b1a170c7f555 | 475 | py | Python | packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickwidth.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickwidth.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/densitymapbox/colorbar/_tickwidth.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="densitymapbox.colorbar", **kwargs
):
super(TickwidthValidator, self).__init__(
plotly_name=plotly_name,
... | 31.666667 | 85 | 0.648421 | import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="densitymapbox.colorbar", **kwargs
):
super(TickwidthValidator, self).__init__(
plotly_name=plotly_name,
... | true | true |
08f526d951772af4d4a00162f59afb57f9283928 | 9,301 | py | Python | luci-app-ssrserver-python/root/usr/share/ssr/server_pool.py | bearking1069/openwrt-packages | eb78e080d5e3a022aa5a3acaff492283306cfc6b | [
"Apache-2.0"
] | 42 | 2021-04-11T13:37:44.000Z | 2022-03-14T16:00:13.000Z | luci-app-ssrserver-python/root/usr/share/ssr/server_pool.py | bearking1069/openwrt-packages | eb78e080d5e3a022aa5a3acaff492283306cfc6b | [
"Apache-2.0"
] | 52 | 2021-04-13T04:17:02.000Z | 2022-03-12T15:05:14.000Z | luci-app-ssrserver-python/root/usr/share/ssr/server_pool.py | bearking1069/openwrt-packages | eb78e080d5e3a022aa5a3acaff492283306cfc6b | [
"Apache-2.0"
] | 109 | 2021-04-01T09:13:05.000Z | 2022-03-31T17:33:13.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2014 clowwindy
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
... | 31.636054 | 122 | 0.708741 |
import os
import logging
import struct
import time
from shadowsocks import shell, eventloop, tcprelay, udprelay, asyncdns, common
import threading
import sys
import traceback
from socket import *
from configloader import load_config, get_config
class MainThread(threading.Thread):
def __init__(self, params):
supe... | false | true |
08f527086945542326a9d8e7fa9eaf283b1db98a | 506 | py | Python | app/api_1_0/game_server.py | thenigan/online-ratings | bf0caf087bce80560aa9fb3e44ec620f652eb96a | [
"MIT"
] | null | null | null | app/api_1_0/game_server.py | thenigan/online-ratings | bf0caf087bce80560aa9fb3e44ec620f652eb96a | [
"MIT"
] | null | null | null | app/api_1_0/game_server.py | thenigan/online-ratings | bf0caf087bce80560aa9fb3e44ec620f652eb96a | [
"MIT"
] | null | null | null | from flask import jsonify
from flask.ext.security import roles_required
from app.models import GoServer
from . import api
@api.route('/GameServer', methods=['GET'])
@roles_required('ratings_admin')
def allgameservers():
game_servers = GoServer.query.all()
data = {
"num_servers": len(game_servers),
... | 26.631579 | 68 | 0.660079 | from flask import jsonify
from flask.ext.security import roles_required
from app.models import GoServer
from . import api
@api.route('/GameServer', methods=['GET'])
@roles_required('ratings_admin')
def allgameservers():
game_servers = GoServer.query.all()
data = {
"num_servers": len(game_servers),
... | true | true |
08f5276452279020e444bb5c00780e5b43c96a71 | 7,075 | py | Python | pysnmp-with-texts/SNMP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/SNMP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/SNMP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module SNMP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SNMP-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:08:13 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:1... | 133.490566 | 585 | 0.779647 | ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.impo... | true | true |
08f527ba2575454f3dfd4a06c1187cb62ad543d2 | 715 | py | Python | lc/0042_TrappingRainWater.py | xiangshiyin/coding-challenge | a75a644b96dec1b6c7146b952ca4333263f0a461 | [
"Apache-2.0"
] | null | null | null | lc/0042_TrappingRainWater.py | xiangshiyin/coding-challenge | a75a644b96dec1b6c7146b952ca4333263f0a461 | [
"Apache-2.0"
] | null | null | null | lc/0042_TrappingRainWater.py | xiangshiyin/coding-challenge | a75a644b96dec1b6c7146b952ca4333263f0a461 | [
"Apache-2.0"
] | null | null | null | class Solution:
def trap(self, height: List[int]) -> int:
# exceptions
if height==None:
return 0
N = len(height)
if N<=2:
return 0
# traverse the list
left = 0
right = N-1
lmax = 0
rmax = 0
volume = 0
... | 24.655172 | 45 | 0.402797 | class Solution:
def trap(self, height: List[int]) -> int:
if height==None:
return 0
N = len(height)
if N<=2:
return 0
left = 0
right = N-1
lmax = 0
rmax = 0
volume = 0
while left <= right:
... | true | true |
08f527cb59b86c22f492cdb6063ae37229058fdd | 18,105 | py | Python | database/study_models.py | xuancong84/beiwe-backend | 229f083cdfb29b203c1e55c3291a3dce920dfb11 | [
"BSD-3-Clause"
] | 1 | 2020-08-01T13:40:36.000Z | 2020-08-01T13:40:36.000Z | database/study_models.py | xuancong84/beiwe-backend | 229f083cdfb29b203c1e55c3291a3dce920dfb11 | [
"BSD-3-Clause"
] | null | null | null | database/study_models.py | xuancong84/beiwe-backend | 229f083cdfb29b203c1e55c3291a3dce920dfb11 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from collections import *
import json, pickle
from django.db import models
from django.db.models import F, Func
from django.utils import timezone
from config.constants import ALL_DEVICE_PARAMETERS
from django.contrib.postgres import fields
from config.s... | 40.961538 | 141 | 0.686164 | from __future__ import unicode_literals
from collections import *
import json, pickle
from django.db import models
from django.db.models import F, Func
from django.utils import timezone
from config.constants import ALL_DEVICE_PARAMETERS
from django.contrib.postgres import fields
from config.study_constants import *
... | true | true |
08f5280f8fb64b85e6b2fb56fb8ad9f3070a2c3a | 4,549 | py | Python | testscripts/RDKB/component/TDKB_TR181/TDKB_TR181_MTA_SetAllParameterValues_WithReboot.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | testscripts/RDKB/component/TDKB_TR181/TDKB_TR181_MTA_SetAllParameterValues_WithReboot.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | testscripts/RDKB/component/TDKB_TR181/TDKB_TR181_MTA_SetAllParameterValues_WithReboot.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | ##########################################################################
# If not stated otherwise in this file or this component's Licenses.txt
# file the following copyright and licenses apply:
#
# Copyright 2020 RDK Management
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use th... | 39.903509 | 138 | 0.736645 | # file the following copyright and licenses apply:
#
# Copyright 2020 RDK Management
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | false | true |
08f528357dc3fc8af155c40f5668e4e96bc86de4 | 7,455 | py | Python | detection/core/anchor/anchor_target.py | cl886699/frcnn_multigpu | eed28bd3eafdf43957ea66b4ab6198d7dca57385 | [
"MIT"
] | null | null | null | detection/core/anchor/anchor_target.py | cl886699/frcnn_multigpu | eed28bd3eafdf43957ea66b4ab6198d7dca57385 | [
"MIT"
] | null | null | null | detection/core/anchor/anchor_target.py | cl886699/frcnn_multigpu | eed28bd3eafdf43957ea66b4ab6198d7dca57385 | [
"MIT"
] | null | null | null | import tensorflow as tf
from detection.core.bbox import geometry, transforms
from detection.utils.misc import trim_zeros
class AnchorTarget(object):
def __init__(self,
target_means=(0., 0., 0., 0.),
target_stds=(0.1, 0.1, 0.2, 0.2),
num_rpn_deltas=256,
... | 44.640719 | 110 | 0.577062 | import tensorflow as tf
from detection.core.bbox import geometry, transforms
from detection.utils.misc import trim_zeros
class AnchorTarget(object):
def __init__(self,
target_means=(0., 0., 0., 0.),
target_stds=(0.1, 0.1, 0.2, 0.2),
num_rpn_deltas=256,
... | true | true |
08f528fb7552883aa4dbf6b2f966611968f88cf6 | 1,541 | py | Python | cycles/demo_singleColor.py | em-yu/BlenderToolbox | ac9da757c8c372237458467aa6663bcdbb86b803 | [
"Apache-2.0"
] | null | null | null | cycles/demo_singleColor.py | em-yu/BlenderToolbox | ac9da757c8c372237458467aa6663bcdbb86b803 | [
"Apache-2.0"
] | null | null | null | cycles/demo_singleColor.py | em-yu/BlenderToolbox | ac9da757c8c372237458467aa6663bcdbb86b803 | [
"Apache-2.0"
] | null | null | null | import sys
sys.path.append('/Users/hsuehtil/Dropbox/BlenderToolbox/cycles')
from include import *
import bpy
outputPath = './results/demo_singleColor.png'
# # init blender
imgRes_x = 720 # increase this for paper figures
imgRes_y = 720 # increase this for paper figures
numSamples = 50 # usually increase it to >200 ... | 24.854839 | 64 | 0.730694 | import sys
sys.path.append('/Users/hsuehtil/Dropbox/BlenderToolbox/cycles')
from include import *
import bpy
outputPath = './results/demo_singleColor.png'
imgRes_x = 720 imgRes_y = 720 numSamples = 50 exposure = 1.0
blenderInit(imgRes_x, imgRes_y, numSamples, exposure)
meshPath = '../meshes/spot.ply'
location = (-... | true | true |
08f52a4354322bf32aa24be37129c507d16fb258 | 2,123 | py | Python | app/auth/routes.py | tc-mwangi/s-blog | 138451e044f1000591bf5dbd16907c4aa1a76981 | [
"MIT"
] | null | null | null | app/auth/routes.py | tc-mwangi/s-blog | 138451e044f1000591bf5dbd16907c4aa1a76981 | [
"MIT"
] | null | null | null | app/auth/routes.py | tc-mwangi/s-blog | 138451e044f1000591bf5dbd16907c4aa1a76981 | [
"MIT"
] | null | null | null | from flask import render_template, flash, redirect, url_for, request
from flask_login import current_user, login_user, logout_user, login_required
from datetime import datetime
from app import db
from app.auth import bp
from app.forms import LoginForm, RegistrationForm, EditProfileForm, PostForm
from werkzeug.urls impo... | 28.306667 | 81 | 0.6439 | from flask import render_template, flash, redirect, url_for, request
from flask_login import current_user, login_user, logout_user, login_required
from datetime import datetime
from app import db
from app.auth import bp
from app.forms import LoginForm, RegistrationForm, EditProfileForm, PostForm
from werkzeug.urls impo... | true | true |
08f52a603d48186ab21dd108c7203d58c64dc9a7 | 19,280 | py | Python | autodisc/autodisc/representations/static/pytorchnnrepresentation/pytorchnnarchitectures.py | flowersteam/automated_discovery_of_lenia_patterns | 97cc7cde2120fa95225d1e470e00b8aa8c034e97 | [
"MIT"
] | 10 | 2019-10-05T16:22:11.000Z | 2021-12-30T14:09:42.000Z | autodisc/autodisc/representations/static/pytorchnnrepresentation/pytorchnnarchitectures.py | flowersteam/automated_discovery_of_lenia_patterns | 97cc7cde2120fa95225d1e470e00b8aa8c034e97 | [
"MIT"
] | null | null | null | autodisc/autodisc/representations/static/pytorchnnrepresentation/pytorchnnarchitectures.py | flowersteam/automated_discovery_of_lenia_patterns | 97cc7cde2120fa95225d1e470e00b8aa8c034e97 | [
"MIT"
] | 2 | 2019-10-14T12:12:38.000Z | 2020-09-16T11:18:26.000Z | from autodisc.representations.static.pytorchnnrepresentation import helper
import torch
from torch import nn
class BetaVAEClassifier(nn.Module):
'''
BetaVAE with Classifier network architecture
'''
def __init__(self, n_channels = 1, n_latents = 2, input_size = (100,100), beta = 1.0, gamma = 1.0, num_c... | 38.637275 | 197 | 0.515249 | from autodisc.representations.static.pytorchnnrepresentation import helper
import torch
from torch import nn
class BetaVAEClassifier(nn.Module):
def __init__(self, n_channels = 1, n_latents = 2, input_size = (100,100), beta = 1.0, gamma = 1.0, num_classes = 2, use_gpu = True, add_var_to_KLD_loss = True, **kwargs)... | true | true |
08f52a7900e22affd6a6d073e7a12986e08962bf | 647 | py | Python | tradinglib.py | aslwinlam/Git_1 | 57b37a68c43411c7fd806b98f69c790fc2e53928 | [
"DOC"
] | null | null | null | tradinglib.py | aslwinlam/Git_1 | 57b37a68c43411c7fd806b98f69c790fc2e53928 | [
"DOC"
] | null | null | null | tradinglib.py | aslwinlam/Git_1 | 57b37a68c43411c7fd806b98f69c790fc2e53928 | [
"DOC"
] | null | null | null | class RowOfStockinf(object):
"""A class to store row of trading inf:
"""
numOfStock = [0.0,0.0,0.0,0.0]
cash = [2000.0,2000.0,2000.0,2000.0]
buyMargin = [.97, .95, .93, .91]
numOfSales=[0,0,0,0]
def __init__(self, trade_date, trade_open, trade_high, trade_low, trade_clos... | 30.809524 | 112 | 0.618238 | class RowOfStockinf(object):
"""A class to store row of trading inf:
"""
numOfStock = [0.0,0.0,0.0,0.0]
cash = [2000.0,2000.0,2000.0,2000.0]
buyMargin = [.97, .95, .93, .91]
numOfSales=[0,0,0,0]
def __init__(self, trade_date, trade_open, trade_high, trade_low, trade_clos... | false | true |
08f52b7be7a986a89cb5728c8734b204c4f1209f | 6,037 | py | Python | codes/generate_feature_1.py | allendred/JData-1 | d4444065a8809f881e4ad105fc79b7f86669bfe2 | [
"Apache-2.0"
] | null | null | null | codes/generate_feature_1.py | allendred/JData-1 | d4444065a8809f881e4ad105fc79b7f86669bfe2 | [
"Apache-2.0"
] | null | null | null | codes/generate_feature_1.py | allendred/JData-1 | d4444065a8809f881e4ad105fc79b7f86669bfe2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8-*-
'''
抽取如下特征, 浏览数、收藏数、购物车、购买数、平均活跃天数、最后活跃天数距离最终时间的天数
列表：
用户名, 商品名,平均活跃天数、最后活跃天数距离最终时间的天数、
年龄段、性别、用户等级、用户注册时间长度、
商品属性1、商品属性2、商品属性3、品类、 品牌 -->协同过滤算法得到相关系数亦可
累计评分数、是否有差评、差评比率、平均累计评分数、平均是否有差评、平均差评比率
加入预测前一天时各个商品的:
comment_num 评价... | 36.149701 | 109 | 0.633924 | '''
抽取如下特征, 浏览数、收藏数、购物车、购买数、平均活跃天数、最后活跃天数距离最终时间的天数
列表：
用户名, 商品名,平均活跃天数、最后活跃天数距离最终时间的天数、
年龄段、性别、用户等级、用户注册时间长度、
商品属性1、商品属性2、商品属性3、品类、 品牌 -->协同过滤算法得到相关系数亦可
累计评分数、是否有差评、差评比率、平均累计评分数、平均是否有差评、平均差评比率
加入预测前一天时各个商品的:
comment_num 评价数目
has_bad_comment 差评数目
... | false | true |
08f52ba0ef7489725c17cc1a932611577081ec93 | 14,227 | py | Python | lib-linux/datasets/pascal_voc.py | stanley-king/cuda10-py3-faster-rcnn | 013f99c428874bfd3ddaeed264031143d10a8123 | [
"BSD-2-Clause"
] | null | null | null | lib-linux/datasets/pascal_voc.py | stanley-king/cuda10-py3-faster-rcnn | 013f99c428874bfd3ddaeed264031143d10a8123 | [
"BSD-2-Clause"
] | 1 | 2020-12-28T03:20:43.000Z | 2020-12-28T03:20:43.000Z | lib-linux/datasets/pascal_voc.py | stanley-king/cuda10-py3-faster-rcnn | 013f99c428874bfd3ddaeed264031143d10a8123 | [
"BSD-2-Clause"
] | null | null | null | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
import os
from datasets.imdb import imdb
import datasets.ds_utils as ds... | 41.237681 | 80 | 0.54263 |
import os
from datasets.imdb import imdb
import datasets.ds_utils as ds_utils
import xml.etree.ElementTree as ET
import numpy as np
import scipy.sparse
import scipy.io as sio
import utils.cython_bbox
import pickle as cPickle
import subprocess
import uuid
from voc_eval import voc_eval
from fast_rcnn.config import cfg
... | false | true |
08f52c50897de9a5915d5ca9ddabcb2ece3b11e9 | 495 | py | Python | djangit/posts/migrations/0002_auto_20180812_2205.py | ryanthtra/djangit | 0de03165cc23374951d225c54ddc0025f427df40 | [
"MIT"
] | null | null | null | djangit/posts/migrations/0002_auto_20180812_2205.py | ryanthtra/djangit | 0de03165cc23374951d225c54ddc0025f427df40 | [
"MIT"
] | null | null | null | djangit/posts/migrations/0002_auto_20180812_2205.py | ryanthtra/djangit | 0de03165cc23374951d225c54ddc0025f427df40 | [
"MIT"
] | null | null | null | # Generated by Django 2.1 on 2018-08-12 22:05
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('posts', '0001_initial'),
]
operations = [
migrations.AlterField(
... | 23.571429 | 110 | 0.652525 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('posts', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='post',
name='author',... | true | true |
08f52ce24fd53d132785fbb6c2e445fcef5b2b53 | 723 | py | Python | byceps/services/authentication/session/dbmodels/recent_login.py | homeworkprod/byceps | cd0f9f37f7b5eb517106ec761acc7e0bdf75e22e | [
"BSD-3-Clause"
] | 23 | 2015-08-03T23:28:54.000Z | 2018-12-12T20:11:45.000Z | byceps/services/authentication/session/dbmodels/recent_login.py | homeworkprod/byceps | cd0f9f37f7b5eb517106ec761acc7e0bdf75e22e | [
"BSD-3-Clause"
] | 1 | 2018-09-30T18:18:24.000Z | 2018-09-30T18:18:24.000Z | byceps/services/authentication/session/dbmodels/recent_login.py | homeworkprod/byceps | cd0f9f37f7b5eb517106ec761acc7e0bdf75e22e | [
"BSD-3-Clause"
] | 9 | 2015-08-06T16:41:36.000Z | 2018-09-25T11:17:31.000Z | """
byceps.services.authentication.session.dbmodels.recent_login
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Copyright: 2014-2022 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from datetime import datetime
from .....database import db
from .....typing import UserID... | 27.807692 | 77 | 0.661134 |
from datetime import datetime
from .....database import db
from .....typing import UserID
class RecentLogin(db.Model):
__tablename__ = 'authn_recent_logins'
user_id = db.Column(db.Uuid, db.ForeignKey('users.id'), primary_key=True)
occurred_at = db.Column(db.DateTime, nullable=False)
def __init__(... | true | true |
08f52d318f15498c7defd666d502e00e3d47eae6 | 753 | py | Python | vnpy/trader/utils/templates/notify.py | WongLynn/vnpy_Amerlin-1.1.20 | d701d8f12c29cc33f58ea025920b0c7240f74f82 | [
"MIT"
] | 11 | 2019-10-28T13:01:48.000Z | 2021-06-20T03:38:09.000Z | vnpy/trader/utils/templates/notify.py | Rayshawn8/vnpy_Amerlin-1.1.20 | d701d8f12c29cc33f58ea025920b0c7240f74f82 | [
"MIT"
] | null | null | null | vnpy/trader/utils/templates/notify.py | Rayshawn8/vnpy_Amerlin-1.1.20 | d701d8f12c29cc33f58ea025920b0c7240f74f82 | [
"MIT"
] | 6 | 2019-10-28T13:16:13.000Z | 2020-09-08T08:03:41.000Z | from xml.etree import ElementTree
from collections import defaultdict
import json
import requests
import re
ROOT_TAG = "ding"
def dingFormatter():
e = ElementTree.Element(ROOT_TAG)
e.text = ".*?"
return ElementTree.tostring(e, "unicode")
DingCompiler = re.compile(dingFormatter())
def makeNotify(messa... | 21.514286 | 58 | 0.697211 | from xml.etree import ElementTree
from collections import defaultdict
import json
import requests
import re
ROOT_TAG = "ding"
def dingFormatter():
e = ElementTree.Element(ROOT_TAG)
e.text = ".*?"
return ElementTree.tostring(e, "unicode")
DingCompiler = re.compile(dingFormatter())
def makeNotify(messa... | true | true |
08f52d518e83cdf355ffea25c84107e8b294b04d | 4,177 | py | Python | geinos/app/core/api/users_plug.py | falhenaki/GEINOS | c0bf883c582972b08ab5ee45d2bd0463d6c48087 | [
"MIT"
] | 3 | 2018-03-19T16:51:21.000Z | 2019-01-18T22:52:19.000Z | geinos/app/core/api/users_plug.py | falhenaki/GEINOS | c0bf883c582972b08ab5ee45d2bd0463d6c48087 | [
"MIT"
] | 261 | 2018-02-08T16:24:26.000Z | 2018-08-07T03:38:16.000Z | geinos/app/core/api/users_plug.py | falhenaki/GEINOS | c0bf883c582972b08ab5ee45d2bd0463d6c48087 | [
"MIT"
] | null | null | null | from flask_restful import Resource
from flask import request, jsonify
from app.core.user import auth
from app.core.user import user_connector
from app.core.api import request_parser
from app.core.exceptions.custom_exceptions import Conflict
class Users(Resource):
"""
HTTP Method: GET
Authorization: Requir... | 36.008621 | 148 | 0.594446 | from flask_restful import Resource
from flask import request, jsonify
from app.core.user import auth
from app.core.user import user_connector
from app.core.api import request_parser
from app.core.exceptions.custom_exceptions import Conflict
class Users(Resource):
def get(self):
logged_user = request_parse... | true | true |
08f52ef4fd1c204b0f346b1db6adc14284381902 | 205 | py | Python | redisdb/datadog_checks/redisdb/__init__.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 2 | 2019-05-28T03:48:29.000Z | 2019-07-05T07:05:58.000Z | redisdb/datadog_checks/redisdb/__init__.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 4 | 2019-07-03T02:53:19.000Z | 2019-07-10T14:52:14.000Z | redisdb/datadog_checks/redisdb/__init__.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 1 | 2019-12-23T13:35:17.000Z | 2019-12-23T13:35:17.000Z | # (C) Datadog, Inc. 2018
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
from .__about__ import __version__
from .redisdb import Redis
__all__ = ['__version__', 'Redis']
| 25.625 | 59 | 0.746341 | from .__about__ import __version__
from .redisdb import Redis
__all__ = ['__version__', 'Redis']
| true | true |
08f52f3ff0362828d349b2be6358566b0cfce6b2 | 1,516 | py | Python | pycroft/lib/host.py | marcelb98/pycroft | 34cc59d9ab7fdc0c20b09b4851111048a9f64d90 | [
"Apache-2.0"
] | null | null | null | pycroft/lib/host.py | marcelb98/pycroft | 34cc59d9ab7fdc0c20b09b4851111048a9f64d90 | [
"Apache-2.0"
] | null | null | null | pycroft/lib/host.py | marcelb98/pycroft | 34cc59d9ab7fdc0c20b09b4851111048a9f64d90 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2015 The Pycroft Authors. See the AUTHORS file.
# This file is part of the Pycroft project and licensed under the terms of
# the Apache License, Version 2.0. See the LICENSE file for details.
from pycroft.helpers.i18n import deferred_gettext
from pycroft.lib.logging import log_us... | 36.97561 | 79 | 0.635224 | from pycroft.helpers.i18n import deferred_gettext
from pycroft.lib.logging import log_user_event
from pycroft.model.session import with_transaction
@with_transaction
def change_mac(interface, mac, processor):
old_mac = interface.mac
interface.mac = mac
message = deferred_gettext(u"Changed MAC address from... | true | true |
08f52f9bdd28b02288c01994888c0dda2563ab16 | 3,057 | py | Python | tests/test_helpers_command.py | fossabot/PyFunceble | 4335cb31e6cf20cf8e10dd2cc6ac3afa50199ea4 | [
"Apache-2.0"
] | null | null | null | tests/test_helpers_command.py | fossabot/PyFunceble | 4335cb31e6cf20cf8e10dd2cc6ac3afa50199ea4 | [
"Apache-2.0"
] | null | null | null | tests/test_helpers_command.py | fossabot/PyFunceble | 4335cb31e6cf20cf8e10dd2cc6ac3afa50199ea4 | [
"Apache-2.0"
] | null | null | null | # pylint:disable=line-too-long,invalid-name,import-error
"""
The tool to check the availability or syntax of domain, IP or URL.
::
██████╗ ██╗ ██╗███████╗██╗ ██╗███╗ ██╗ ██████╗███████╗██████╗ ██╗ ███████╗
██╔══██╗╚██╗ ██╔╝██╔════╝██║ ██║████╗ ██║██╔════╝██╔════╝██╔══██╗██║ ██╔════╝
████... | 27.053097 | 88 | 0.540072 |
import sys
from unittest import main as launch_tests
from stdout_base import StdoutBase
from PyFunceble.abstracts import Platform
from PyFunceble.helpers import Command
class TestCommand(StdoutBase):
def test_execute(self):
if Platform.is_unix():
expected = "Hello, World!\n"
a... | true | true |
08f531146b74fa5cf1eb841a8c873a6c396afff8 | 3,163 | py | Python | config/settings/config_common.py | makethedayunique/pandama-online-store | 38c02809a89087f5a6c83fd6ee2c39dab8d66f6c | [
"MIT"
] | null | null | null | config/settings/config_common.py | makethedayunique/pandama-online-store | 38c02809a89087f5a6c83fd6ee2c39dab8d66f6c | [
"MIT"
] | null | null | null | config/settings/config_common.py | makethedayunique/pandama-online-store | 38c02809a89087f5a6c83fd6ee2c39dab8d66f6c | [
"MIT"
] | null | null | null | import environ
root = environ.Path(__file__) - 3
env = environ.Env()
environ.Env.read_env()
DEBUG = env.bool('DEBUG', default=False)
SECRET_KEY = env.str('SECRET_KEY')
ALLOWED_HOSTS = env.list('ALLOWED_HOSTS', default=['*'])
LOGTAIL_SOURCE_TOKEN=env.str('LOGTAIL_SOURCE_TOKEN')
PANDAMA_DOMAIN=env.str('PANDAMA_DOMAI... | 64.55102 | 168 | 0.852988 | import environ
root = environ.Path(__file__) - 3
env = environ.Env()
environ.Env.read_env()
DEBUG = env.bool('DEBUG', default=False)
SECRET_KEY = env.str('SECRET_KEY')
ALLOWED_HOSTS = env.list('ALLOWED_HOSTS', default=['*'])
LOGTAIL_SOURCE_TOKEN=env.str('LOGTAIL_SOURCE_TOKEN')
PANDAMA_DOMAIN=env.str('PANDAMA_DOMAI... | true | true |
08f531aa8bd97d12b7e29f1deccce8a20b90ba18 | 332 | py | Python | show_database.py | naufalfachrian/py-database-manager | 80818192e3dccadd5257df1db0cbe09bcaded1ed | [
"MIT"
] | null | null | null | show_database.py | naufalfachrian/py-database-manager | 80818192e3dccadd5257df1db0cbe09bcaded1ed | [
"MIT"
] | null | null | null | show_database.py | naufalfachrian/py-database-manager | 80818192e3dccadd5257df1db0cbe09bcaded1ed | [
"MIT"
] | 1 | 2020-09-14T17:30:32.000Z | 2020-09-14T17:30:32.000Z | import db
print('Here are the list of the databases\' name available on your system :')
if db.connection.is_connected():
cursor = db.connection.cursor()
cursor.execute("SHOW DATABASES")
results = cursor.fetchall()
for result in results:
database_name = result[0]
print(" > {}".format(dat... | 33.2 | 77 | 0.677711 | import db
print('Here are the list of the databases\' name available on your system :')
if db.connection.is_connected():
cursor = db.connection.cursor()
cursor.execute("SHOW DATABASES")
results = cursor.fetchall()
for result in results:
database_name = result[0]
print(" > {}".format(dat... | true | true |
08f53226d0761533fbd5372f68e9dee99a9291b3 | 748 | py | Python | tests/tests/attributes/variable/resave.py | mattbornski/cdf | d48aa7d2bcfe03f42580b03a141c6a63fd0b542d | [
"Apache-2.0"
] | 3 | 2016-05-28T10:55:36.000Z | 2018-02-26T11:37:45.000Z | tests/tests/attributes/variable/resave.py | mattbornski/cdf | d48aa7d2bcfe03f42580b03a141c6a63fd0b542d | [
"Apache-2.0"
] | null | null | null | tests/tests/attributes/variable/resave.py | mattbornski/cdf | d48aa7d2bcfe03f42580b03a141c6a63fd0b542d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
def test():
import cdf
import os
test = cdf.archive()
test['foo'] = [1, 2]
test['bar'] = [151.15, 151.30]
test['foo'].attributes['int'] = 'true'
test['foo'].attributes['min'] = 1
test['bar'].attributes['int'] = 'false'
test['bar'].attributes['max'] = 151.30
... | 22 | 60 | 0.588235 |
def test():
import cdf
import os
test = cdf.archive()
test['foo'] = [1, 2]
test['bar'] = [151.15, 151.30]
test['foo'].attributes['int'] = 'true'
test['foo'].attributes['min'] = 1
test['bar'].attributes['int'] = 'false'
test['bar'].attributes['max'] = 151.30
test.save('test')
... | false | true |
08f532399a4855a9886b12c2694a107003354653 | 436 | py | Python | blockbuster_clone/movies/migrations/0012_auto_20210418_1133.py | alexche77/blockbuster-api-clone | 3597b6c6eb1e14b45bca233efabe2bc200a280f1 | [
"MIT"
] | null | null | null | blockbuster_clone/movies/migrations/0012_auto_20210418_1133.py | alexche77/blockbuster-api-clone | 3597b6c6eb1e14b45bca233efabe2bc200a280f1 | [
"MIT"
] | null | null | null | blockbuster_clone/movies/migrations/0012_auto_20210418_1133.py | alexche77/blockbuster-api-clone | 3597b6c6eb1e14b45bca233efabe2bc200a280f1 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.8 on 2021-04-18 11:33
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("movies", "0011_movie_is_available"),
]
operations = [
migrations.RemoveField(
model_name="movie",
name="deleted_at",
... | 19.818182 | 47 | 0.56422 |
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("movies", "0011_movie_is_available"),
]
operations = [
migrations.RemoveField(
model_name="movie",
name="deleted_at",
),
migrations.RemoveField(
... | true | true |
08f53245e1a2c52d959369cc6fcd331b91fc58de | 2,778 | py | Python | src/braket/circuits/gate.py | shiyunon/amazon-braket-sdk-python | df8b38ddd9f8b976987bd816f7b1b561190ad45b | [
"Apache-2.0"
] | 3 | 2021-11-08T11:46:42.000Z | 2021-12-27T10:13:38.000Z | src/braket/circuits/gate.py | shiyunon/amazon-braket-sdk-python | df8b38ddd9f8b976987bd816f7b1b561190ad45b | [
"Apache-2.0"
] | 2 | 2021-11-09T14:57:09.000Z | 2022-01-12T12:35:58.000Z | artifacts/old_dataset_versions/original_commits_v02/amazon-braket-sdk-python/amazon-braket-sdk-python#250/before/gate.py | MattePalte/Bugs-Quantum-Computing-Platforms | 0c1c805fd5dfce465a8955ee3faf81037023a23e | [
"MIT"
] | null | null | null | # Copyright 2019-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fil... | 39.685714 | 97 | 0.669546 |
from typing import Any, Sequence
from braket.circuits.quantum_operator import QuantumOperator
from braket.circuits.qubit_set import QubitSet
class Gate(QuantumOperator):
def __init__(self, qubit_count: int, ascii_symbols: Sequence[str]):
super().__init__(qubit_count=qubit_count, ascii_symbols=ascii_sym... | true | true |
08f532883fa6fd33bc06506f048b9250233a3934 | 4,168 | py | Python | intel/reconcile.py | malsbat/CPU-Manager-for-Kubernetes | e714696e30c039491fe10979de0045ff6620ef80 | [
"Apache-2.0"
] | null | null | null | intel/reconcile.py | malsbat/CPU-Manager-for-Kubernetes | e714696e30c039491fe10979de0045ff6620ef80 | [
"Apache-2.0"
] | null | null | null | intel/reconcile.py | malsbat/CPU-Manager-for-Kubernetes | e714696e30c039491fe10979de0045ff6620ef80 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 30.874074 | 79 | 0.587092 |
import json
import logging
import os
import time
from kubernetes import config as k8sconfig, client as k8sclient
from . import config, proc, third_party, custom_resource, k8s, util
def reconcile(conf_dir, seconds, publish):
conf = config.Config(conf_dir)
report = None
if seconds is None:
second... | true | true |
08f53322e20c7acae60ed60212b08d7d64102e2a | 618 | py | Python | pyoperant/interfaces/spike2_.py | kaichensh/pyoperant | 95e427604cdce07505bd6e3c1592883f45f4fac4 | [
"BSD-3-Clause"
] | 10 | 2015-02-21T22:58:43.000Z | 2021-05-20T22:47:57.000Z | pyoperant/interfaces/spike2_.py | kaichensh/pyoperant | 95e427604cdce07505bd6e3c1592883f45f4fac4 | [
"BSD-3-Clause"
] | 31 | 2015-02-17T16:43:15.000Z | 2020-03-06T23:09:48.000Z | pyoperant/interfaces/spike2_.py | kaichensh/pyoperant | 95e427604cdce07505bd6e3c1592883f45f4fac4 | [
"BSD-3-Clause"
] | 10 | 2015-07-02T18:55:02.000Z | 2021-09-20T22:45:43.000Z | from pyoperant.interfaces import base_
class Spike2Interface(base_.BaseInterface):
"""docstring for Spike2Interface"""
def __init__(self):
super(Spike2Interface, self).__init__()
def open(self):
raise NotImplementedError
def close(self):
raise NotImplementedError
... | 22.888889 | 47 | 0.68123 | from pyoperant.interfaces import base_
class Spike2Interface(base_.BaseInterface):
def __init__(self):
super(Spike2Interface, self).__init__()
def open(self):
raise NotImplementedError
def close(self):
raise NotImplementedError
def _read_bool(self):
raise NotI... | true | true |
08f533cd88cb263ebc72f323053c41a199f1f8d9 | 918 | py | Python | predict.py | pkbatth92/Data-Science | 769ad73ecb51d79a1cc070b9eeb23ac7cd796728 | [
"MIT"
] | null | null | null | predict.py | pkbatth92/Data-Science | 769ad73ecb51d79a1cc070b9eeb23ac7cd796728 | [
"MIT"
] | null | null | null | predict.py | pkbatth92/Data-Science | 769ad73ecb51d79a1cc070b9eeb23ac7cd796728 | [
"MIT"
] | null | null | null | import time
import json
import torchvision
from torchvision import datasets, transforms, models
import argparse
from utility import *
from load_checkpoint import *
parser = argparse.ArgumentParser()
parser.add_argument('input')
parser.add_argument('checkpoint')
parser.add_argument('--top_k')
parser.add_argument('--cat... | 21.857143 | 58 | 0.752723 | import time
import json
import torchvision
from torchvision import datasets, transforms, models
import argparse
from utility import *
from load_checkpoint import *
parser = argparse.ArgumentParser()
parser.add_argument('input')
parser.add_argument('checkpoint')
parser.add_argument('--top_k')
parser.add_argument('--cat... | true | true |
08f534271916b888718de9408b11599859d9a50b | 3,799 | py | Python | venv/Lib/site-packages/elasticsearch/client/eql.py | ojaap/Sophosbeat | c6e99c9923b21deeeae539aa9152c7eed77622a3 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/elasticsearch/client/eql.py | ojaap/Sophosbeat | c6e99c9923b21deeeae539aa9152c7eed77622a3 | [
"Apache-2.0"
] | null | null | null | venv/Lib/site-packages/elasticsearch/client/eql.py | ojaap/Sophosbeat | c6e99c9923b21deeeae539aa9152c7eed77622a3 | [
"Apache-2.0"
] | null | null | null | # Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use ... | 44.174419 | 92 | 0.672282 |
from .utils import NamespacedClient, SKIP_IN_PATH, query_params, _make_path
class EqlClient(NamespacedClient):
@query_params("keep_alive", "keep_on_completion", "wait_for_completion_timeout")
def search(self, index, body, params=None, headers=None):
for param in (index, body):
if param in... | true | true |
08f53465fcc171358b8a2d6d74556fab6c82b1a2 | 10,671 | py | Python | scripts/train.py | sebastianmdick/torchmd-net | e193da7e3e17566c0d3f0333b4648d66d6c3a340 | [
"MIT"
] | null | null | null | scripts/train.py | sebastianmdick/torchmd-net | e193da7e3e17566c0d3f0333b4648d66d6c3a340 | [
"MIT"
] | null | null | null | scripts/train.py | sebastianmdick/torchmd-net | e193da7e3e17566c0d3f0333b4648d66d6c3a340 | [
"MIT"
] | null | null | null | import sys
import os
import argparse
import logging
import pytorch_lightning as pl
from pytorch_lightning.callbacks import EarlyStopping
from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
from pytorch_lightning.loggers import CSVLogger
from pytorch_lightning.plugins import DDPPlugin
from torchmdne... | 61.327586 | 185 | 0.719895 | import sys
import os
import argparse
import logging
import pytorch_lightning as pl
from pytorch_lightning.callbacks import EarlyStopping
from pytorch_lightning.callbacks.model_checkpoint import ModelCheckpoint
from pytorch_lightning.loggers import CSVLogger
from pytorch_lightning.plugins import DDPPlugin
from torchmdne... | true | true |
08f5348bf8a3e03ee89d554e2089278a98e44f57 | 828 | py | Python | Authentication/migrations/0001_initial.py | CHESyrian/Estebyan | 015c0a8e95d033af04ba949942da79a4f5a90488 | [
"MIT"
] | null | null | null | Authentication/migrations/0001_initial.py | CHESyrian/Estebyan | 015c0a8e95d033af04ba949942da79a4f5a90488 | [
"MIT"
] | null | null | null | Authentication/migrations/0001_initial.py | CHESyrian/Estebyan | 015c0a8e95d033af04ba949942da79a4f5a90488 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.6 on 2020-11-05 13:40
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 30.666667 | 122 | 0.638889 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | true | true |
08f5368b0a9d315fc346c465f4e5487d3d6c71ea | 13,424 | py | Python | django_ocr_server/tests/utils/test_utils.py | shmakovpn/django_ocr_server | 4d694629c39c18a6c13bcdfafdb8258b78e5a859 | [
"Apache-2.0"
] | 17 | 2019-12-04T03:14:56.000Z | 2022-03-27T07:05:19.000Z | django_ocr_server/tests/utils/test_utils.py | shmakovpn/django_ocr_server | 4d694629c39c18a6c13bcdfafdb8258b78e5a859 | [
"Apache-2.0"
] | 1 | 2020-04-17T07:32:30.000Z | 2020-04-17T07:32:30.000Z | django_ocr_server/tests/utils/test_utils.py | shmakovpn/django_ocr_server | 4d694629c39c18a6c13bcdfafdb8258b78e5a859 | [
"Apache-2.0"
] | 5 | 2020-03-16T10:43:03.000Z | 2021-07-14T14:43:49.000Z | """
django_ocr_server/tests/utils/test_utils.py
+++++++++++++++++++++++++++++++++++++++++++
| Author: shmakovpn <shmakovpn@yandex.ru>
| Date: 2021-01-07
"""
from typing import List, Match, Optional, NewType, Type
from django.test import SimpleTestCase
from unittest.mock import patch
from io import StringIO
import djan... | 47.772242 | 88 | 0.632747 | from typing import List, Match, Optional, NewType, Type
from django.test import SimpleTestCase
from unittest.mock import patch
from io import StringIO
import django_ocr_server.utils as _u
import os
import pdftotext
import re
Path: Type = NewType('Path', str)
class TestUtils(SimpleTestCase):
def test_read_binary_... | true | true |
08f537704aa65781370a99e580b0379ea8a0dc6b | 2,209 | py | Python | Botnets/App/App Web/backend/Modules/DB/Database.py | i2tResearch/Ciberseguridad_web | ac3dd934a60628532e3538369cb145d9a8f33e4f | [
"MIT"
] | 9 | 2021-10-01T22:02:58.000Z | 2021-11-09T17:48:45.000Z | Botnets/App/App Web/backend/Modules/DB/Database.py | i2tResearch/Ciberseguridad_web | ac3dd934a60628532e3538369cb145d9a8f33e4f | [
"MIT"
] | null | null | null | Botnets/App/App Web/backend/Modules/DB/Database.py | i2tResearch/Ciberseguridad_web | ac3dd934a60628532e3538369cb145d9a8f33e4f | [
"MIT"
] | null | null | null | from firebase import firebase
import backend.Modules.Routes.Routes as Routes
import datetime
class Database():
__instance = None
@staticmethod
def getInstance():
""" Static access method. """
if Database.__instance == None:
Database()
return Database.__instance
d... | 31.112676 | 116 | 0.506111 | from firebase import firebase
import backend.Modules.Routes.Routes as Routes
import datetime
class Database():
__instance = None
@staticmethod
def getInstance():
if Database.__instance == None:
Database()
return Database.__instance
def __init__(self):
if Databas... | true | true |
08f537a0ae1438f01280b2761dfa9bf8cb1f9c7f | 504 | py | Python | Leetcode/1000-2000/1849. Splitting a String Into Descending Consecutive Values/1849.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/1000-2000/1849. Splitting a String Into Descending Consecutive Values/1849.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/1000-2000/1849. Splitting a String Into Descending Consecutive Values/1849.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | class Solution:
def splitString(self, s: str) -> bool:
def isValid(s: str, start: int, prev: int, segment: int) -> bool:
if start == len(s) and segment > 1:
return True
curr = 0
for i in range(start, len(s)):
curr = curr * 10 + ord(s[i]) - ord('0')
if curr > 9999999999:
... | 28 | 85 | 0.527778 | class Solution:
def splitString(self, s: str) -> bool:
def isValid(s: str, start: int, prev: int, segment: int) -> bool:
if start == len(s) and segment > 1:
return True
curr = 0
for i in range(start, len(s)):
curr = curr * 10 + ord(s[i]) - ord('0')
if curr > 9999999999:
... | true | true |
08f538890f661ed9d8aae14548aa7d6208e4640e | 2,772 | py | Python | scripts/shukaro/pydwarf.higherlearning.py | Charcoal-Apple/PyDwarf | 6f2dd294509c83802e06b9ca5e084f89c9fe4bda | [
"Zlib"
] | 49 | 2015-05-21T19:40:41.000Z | 2021-09-30T03:04:32.000Z | scripts/shukaro/pydwarf.higherlearning.py | Charcoal-Apple/PyDwarf | 6f2dd294509c83802e06b9ca5e084f89c9fe4bda | [
"Zlib"
] | 6 | 2015-05-30T01:50:01.000Z | 2021-09-22T14:22:41.000Z | scripts/shukaro/pydwarf.higherlearning.py | Charcoal-Apple/PyDwarf | 6f2dd294509c83802e06b9ca5e084f89c9fe4bda | [
"Zlib"
] | 13 | 2015-05-23T16:26:31.000Z | 2021-09-05T18:46:36.000Z | import pydwarf
library_dir = pydwarf.rel(__file__, 'raw/higherlearning')
default_entities = 'MOUNTAIN'
librarian_position = '''
[POSITION:LIBRARIAN]
[NAME:librarian:librarians]
[SITE]
[NUMBER:1]
[RESPONSIBILITY:MEET_WORKERS]
[APPOINTED_BY:EXPEDITION_LEADER]
[APPOINTED_BY:MAYOR]
[PRE... | 40.173913 | 132 | 0.689033 | import pydwarf
library_dir = pydwarf.rel(__file__, 'raw/higherlearning')
default_entities = 'MOUNTAIN'
librarian_position = '''
[POSITION:LIBRARIAN]
[NAME:librarian:librarians]
[SITE]
[NUMBER:1]
[RESPONSIBILITY:MEET_WORKERS]
[APPOINTED_BY:EXPEDITION_LEADER]
[APPOINTED_BY:MAYOR]
[PRE... | true | true |
08f538f034b7c9c551ef6caba0899fc55d0f8492 | 2,002 | py | Python | models/testCT_model.py | qingshan412/pytorch-CycleGAN-and-pix2pix | cec26e9926ccdfadaf29282ec7193ed32bc48773 | [
"BSD-3-Clause"
] | 3 | 2018-11-05T23:12:43.000Z | 2020-03-31T07:51:10.000Z | models/testCT_model.py | qingshan412/pytorch-CycleGAN-and-pix2pix | cec26e9926ccdfadaf29282ec7193ed32bc48773 | [
"BSD-3-Clause"
] | null | null | null | models/testCT_model.py | qingshan412/pytorch-CycleGAN-and-pix2pix | cec26e9926ccdfadaf29282ec7193ed32bc48773 | [
"BSD-3-Clause"
] | 1 | 2018-11-05T23:12:08.000Z | 2018-11-05T23:12:08.000Z | from .base_model import BaseModel
from . import networks
from .cycle_gan_model import CycleGANModel
class TestCTModel(BaseModel):
def name(self):
return 'TestModel'
@staticmethod
def modify_commandline_options(parser, is_train=True):
assert not is_train, 'TestModel cannot be used in train... | 41.708333 | 134 | 0.662837 | from .base_model import BaseModel
from . import networks
from .cycle_gan_model import CycleGANModel
class TestCTModel(BaseModel):
def name(self):
return 'TestModel'
@staticmethod
def modify_commandline_options(parser, is_train=True):
assert not is_train, 'TestModel cannot be used in train... | true | true |
08f538f11601fba955cfc1e8c9b08d6c46c3c05f | 1,760 | py | Python | mediagenerator/templatetags/media.py | flc/django-mediagenerator | 18818c0627d4a54822ba9d36e1b2aebf98a5c4f7 | [
"BSD-3-Clause"
] | null | null | null | mediagenerator/templatetags/media.py | flc/django-mediagenerator | 18818c0627d4a54822ba9d36e1b2aebf98a5c4f7 | [
"BSD-3-Clause"
] | null | null | null | mediagenerator/templatetags/media.py | flc/django-mediagenerator | 18818c0627d4a54822ba9d36e1b2aebf98a5c4f7 | [
"BSD-3-Clause"
] | null | null | null | from django import template
from mediagenerator.generators.bundles.utils import _render_include_media
from mediagenerator import utils
register = template.Library()
class MediaNode(template.Node):
def __init__(self, bundle, variation):
self.bundle = bundle
self.variation = variation
def rende... | 34.509804 | 133 | 0.665341 | from django import template
from mediagenerator.generators.bundles.utils import _render_include_media
from mediagenerator import utils
register = template.Library()
class MediaNode(template.Node):
def __init__(self, bundle, variation):
self.bundle = bundle
self.variation = variation
def rende... | true | true |
08f5395707fc4da39acb2477501b7002814fb75c | 40,078 | py | Python | tests/cassandra_utils_test.py | alvaropalmeirao/cassandra-medusa | f3f0dbba54419e4988d1c1394a0eeec3df577860 | [
"Apache-2.0"
] | 1 | 2020-02-14T14:53:20.000Z | 2020-02-14T14:53:20.000Z | tests/cassandra_utils_test.py | alvaropalmeirao/cassandra-medusa | f3f0dbba54419e4988d1c1394a0eeec3df577860 | [
"Apache-2.0"
] | null | null | null | tests/cassandra_utils_test.py | alvaropalmeirao/cassandra-medusa | f3f0dbba54419e4988d1c1394a0eeec3df577860 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2019 Spotify AB. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 42.50053 | 117 | 0.624283 | import _socket
import configparser
import os
import shutil
import subprocess
import tempfile
import unittest
from pathlib import Path
from unittest import mock
from unittest.mock import Mock
import yaml
from cassandra.metadata import Murmur3Token
import medusa.cassandra_utils
from medusa.cassandra_utils import CqlSes... | true | true |
08f53b6acdf713261192aa328ae4b9b71206c819 | 991 | py | Python | python/base_agent/dialogue_objects/__init__.py | boldsort/craftassist | 8058d115a250e30deb60d969b7b1a5fefd6e974c | [
"MIT"
] | 626 | 2019-07-18T18:40:44.000Z | 2022-03-29T17:34:43.000Z | python/base_agent/dialogue_objects/__init__.py | boldsort/craftassist | 8058d115a250e30deb60d969b7b1a5fefd6e974c | [
"MIT"
] | 42 | 2019-07-27T11:04:15.000Z | 2021-02-23T03:15:14.000Z | python/base_agent/dialogue_objects/__init__.py | boldsort/craftassist | 8058d115a250e30deb60d969b7b1a5fefd6e974c | [
"MIT"
] | 89 | 2019-07-19T15:07:39.000Z | 2022-02-15T18:44:24.000Z | import os
import sys
sys.path.append(os.path.dirname(__file__))
from dialogue_object import (
AwaitResponse,
BotCapabilities,
BotGreet,
BotLocationStatus,
BotStackStatus,
DialogueObject,
GetReward,
ConfirmTask,
ConfirmReferenceObject,
Say,
)
from dialogue_object_utils import (... | 18.018182 | 63 | 0.722503 | import os
import sys
sys.path.append(os.path.dirname(__file__))
from dialogue_object import (
AwaitResponse,
BotCapabilities,
BotGreet,
BotLocationStatus,
BotStackStatus,
DialogueObject,
GetReward,
ConfirmTask,
ConfirmReferenceObject,
Say,
)
from dialogue_object_utils import (... | true | true |
08f53baa0fd8e964f11f682d21d8ed7e5fc6bba1 | 3,392 | py | Python | lib/jnpr/healthbot/swagger/models/network_groups_schema.py | Juniper/healthbot-py-client | 49f0884b5d01ac8430aa7ed4c9acb4e7a2b717a6 | [
"Apache-2.0"
] | 10 | 2019-10-23T12:54:37.000Z | 2022-02-07T19:24:30.000Z | docs/jnpr_healthbot_swagger/swagger_client/models/network_groups_schema.py | Juniper/healthbot-py-client | 49f0884b5d01ac8430aa7ed4c9acb4e7a2b717a6 | [
"Apache-2.0"
] | 5 | 2019-09-30T04:29:25.000Z | 2022-02-16T12:21:06.000Z | docs/jnpr_healthbot_swagger/swagger_client/models/network_groups_schema.py | Juniper/healthbot-py-client | 49f0884b5d01ac8430aa7ed4c9acb4e7a2b717a6 | [
"Apache-2.0"
] | 4 | 2019-09-30T01:17:48.000Z | 2020-08-25T07:27:54.000Z | # coding: utf-8
"""
Paragon Insights APIs
API interface for PI application # noqa: E501
OpenAPI spec version: 4.0.0
Contact: healthbot-feedback@juniper.net
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class NetworkGrou... | 28.991453 | 99 | 0.585495 |
import pprint
import re
import six
class NetworkGroupsSchema(object):
swagger_types = {
'network_group': 'list[NetworkGroupSchema]'
}
attribute_map = {
'network_group': 'network-group'
}
def __init__(self, network_group=None):
self._network_group = None
se... | true | true |
08f53c8d2e704692f81cbf44903c9d885009450d | 612 | py | Python | client/who_directed_that.py | dopraxcom/docker-build-fastapi-app-april-2021 | 68bb98f516725c825794a2981d81b647e5f19db8 | [
"MIT"
] | 23 | 2021-04-29T17:26:27.000Z | 2022-03-08T11:28:44.000Z | client/who_directed_that.py | mikeckennedy/docker-build-fastapi-app-april-2021 | 9b30a2cf9eed066d8293387a031a779e5f67197c | [
"MIT"
] | null | null | null | client/who_directed_that.py | mikeckennedy/docker-build-fastapi-app-april-2021 | 9b30a2cf9eed066d8293387a031a779e5f67197c | [
"MIT"
] | 4 | 2021-06-24T10:33:42.000Z | 2022-03-08T09:03:21.000Z | import requests
from movie_model import MovieModel
def main():
title = get_title_from_user()
movie: MovieModel = get_movie_from_svc(title)
if not movie:
print("Sorry, no movie found!")
return
print(f'{movie.title} was released in {movie.year} and directed by {movie.director}!')
def... | 20.4 | 90 | 0.669935 | import requests
from movie_model import MovieModel
def main():
title = get_title_from_user()
movie: MovieModel = get_movie_from_svc(title)
if not movie:
print("Sorry, no movie found!")
return
print(f'{movie.title} was released in {movie.year} and directed by {movie.director}!')
def... | true | true |
08f53d216e8d3c10eafd7097bd7a0aea4aa2cc68 | 2,416 | py | Python | setup.py | nightwatchcyber/airflow-security-checklist | 9711e0479c7f79b1c697a1d37fb03e56275e4fa2 | [
"Apache-2.0"
] | 31 | 2019-07-15T01:57:42.000Z | 2022-02-19T20:33:25.000Z | setup.py | nightwatchcyber/airflow-security-checklist | 9711e0479c7f79b1c697a1d37fb03e56275e4fa2 | [
"Apache-2.0"
] | 2 | 2019-07-16T23:59:43.000Z | 2020-01-05T01:56:22.000Z | setup.py | nightwatchcyber/airflow-security-checklist | 9711e0479c7f79b1c697a1d37fb03e56275e4fa2 | [
"Apache-2.0"
] | 5 | 2019-07-15T02:27:16.000Z | 2020-10-12T01:50:54.000Z | # -*- coding: utf-8 -*-
#
# Copyright (c) 2019 Nightwatch Cybersecurity.
#
# This file is part of airflowscan
# (see https://github.com/nightwatchcybersecurity/airflowscan).
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with t... | 38.349206 | 98 | 0.705298 | from setuptools import find_packages, setup
from airflowscan import __version__ as version
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='airflowscan',
version=version,
description='Static analysis tool to check Airflow configuration files for insecure settings',
long... | true | true |
08f53d2b1bb12957dc8d9edd9a23554c0368b93f | 545 | py | Python | day4/codebreaker.py | liamwarfield/advent-of-code2019 | 936abf002901b5f0f4d4eb1d5bcb465aeaffe2ef | [
"Apache-2.0"
] | null | null | null | day4/codebreaker.py | liamwarfield/advent-of-code2019 | 936abf002901b5f0f4d4eb1d5bcb465aeaffe2ef | [
"Apache-2.0"
] | null | null | null | day4/codebreaker.py | liamwarfield/advent-of-code2019 | 936abf002901b5f0f4d4eb1d5bcb465aeaffe2ef | [
"Apache-2.0"
] | null | null | null | from tqdm import tqdm # For pretty loading bar
min = int(input('Enter the lower bound: '))
max = int(input('Enter the upper bound: '))
num_passwd = 0
for i in tqdm(range(min, max)):
last_digit = 10
double = False
digit_check = True
while i > 0:
digit = i % 10
if digit > last_digit:
... | 24.772727 | 46 | 0.572477 | from tqdm import tqdm
min = int(input('Enter the lower bound: '))
max = int(input('Enter the upper bound: '))
num_passwd = 0
for i in tqdm(range(min, max)):
last_digit = 10
double = False
digit_check = True
while i > 0:
digit = i % 10
if digit > last_digit:
digit_check = Fal... | true | true |
08f53d9c6acd8a56fa70208a4000f555631df036 | 2,552 | py | Python | swift-srgan/metric.py | Koushik0901/Swift-SRGAN | cd2414f097853bd500e4aec050379b5d37b29ac6 | [
"CC0-1.0"
] | 3 | 2021-12-08T15:01:17.000Z | 2021-12-21T03:22:25.000Z | swift-srgan/metric.py | Koushik0901/Swift-SRGAN | cd2414f097853bd500e4aec050379b5d37b29ac6 | [
"CC0-1.0"
] | 3 | 2021-12-08T15:11:23.000Z | 2022-01-04T11:21:27.000Z | swift-srgan/metric.py | Koushik0901/Swift-SRGAN | cd2414f097853bd500e4aec050379b5d37b29ac6 | [
"CC0-1.0"
] | null | null | null | import math
import torch
import torch.nn.functional as F
def gaussian(window_size, sigma):
gauss = torch.Tensor([math.exp(-(x - window_size // 2) ** 2 / float(2 * sigma ** 2)) for x in range(window_size)])
return gauss / gauss.sum()
def create_window(window_size, channel):
_1D_window = gaussian(window_... | 33.578947 | 118 | 0.645376 | import math
import torch
import torch.nn.functional as F
def gaussian(window_size, sigma):
gauss = torch.Tensor([math.exp(-(x - window_size // 2) ** 2 / float(2 * sigma ** 2)) for x in range(window_size)])
return gauss / gauss.sum()
def create_window(window_size, channel):
_1D_window = gaussian(window_... | true | true |
08f53e1c1ad6d7a32c140b052b667131a47af40b | 12,430 | py | Python | docs/source/conf.py | diego-mazon/statsmodels | af8b5b5dc78acb600ffd08cda6bd9b1ca5200e10 | [
"BSD-3-Clause"
] | null | null | null | docs/source/conf.py | diego-mazon/statsmodels | af8b5b5dc78acb600ffd08cda6bd9b1ca5200e10 | [
"BSD-3-Clause"
] | 1 | 2019-07-29T08:35:08.000Z | 2019-07-29T08:35:08.000Z | docs/source/conf.py | ozeno/statsmodels | 9271ced806b807a4dd325238df38b60f1aa363e2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# statsmodels documentation build configuration file, created by
# sphinx-quickstart on Sat Jan 22 11:17:58 2011.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#... | 33.058511 | 80 | 0.714562 |
import contextlib
import json
import os
import sys
from os.path import dirname, join
from statsmodels import __version__
contextlib.contextmanager.__doc__ = ''
sys.path.insert(0, os.path.abspath('../sphinxext'))
extensions = ['sphinx.ext.autodoc',
'numpydoc',
'sphinx.ext.doctest',
... | true | true |
08f53ee898bfa97ca942bb4cf5a85aec5645e839 | 1,865 | py | Python | leetcode_python/String/minimum-time-difference.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | 18 | 2019-08-01T07:45:02.000Z | 2022-03-31T18:05:44.000Z | leetcode_python/String/minimum-time-difference.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | leetcode_python/String/minimum-time-difference.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | 15 | 2019-12-29T08:46:20.000Z | 2022-03-08T14:14:05.000Z | # V0
# V1
# https://blog.csdn.net/fuxuemingzhu/article/details/80525152
# IDEA : ZIP + MAP
# ZIP:
# >>> a = [1,2,3]
# >>> b = [4,5,6]
# >>> c = [4,5,6,7,8]
# >>> zipped = zip(a,b)
# [(1, 4), (2, 5), (3, 6)]
# >>> zip(a,c)
# [(1, 4), (2, 5), (3, 6)]
# >>> zip(*zipped)
# [(1, 2, 3), (4, 5,... | 27.028986 | 101 | 0.474531 |
class Solution(object):
def findMinDifference(self, timePoints):
def convert(time):
return int(time[:2]) * 60 + int(time[3:])
timePoints = map(convert, timePoints)
timePoints.sort()
return min((y - x) % (24 * 60) for x, y in zip(timePoints, timePoints[1:] + timePoints[... | true | true |
08f53f2a90f438bd49b942edba2bad2a1524d15d | 10,466 | py | Python | app/src/pipelines/stages/gcezoneoperationsinput.py | FKrauss/Data-Pipeline | 8617f25494c5dacc9cf441682c439ba1e6e96a05 | [
"Apache-2.0"
] | 63 | 2015-01-13T15:27:52.000Z | 2021-04-22T09:00:52.000Z | app/src/pipelines/stages/gcezoneoperationsinput.py | jnelly79/Data-Pipeline | 0bdd1664bc9ff5e36928c4609ef6127ef1e1fb3f | [
"Apache-2.0"
] | 1 | 2021-03-21T10:12:28.000Z | 2021-03-21T10:12:28.000Z | app/src/pipelines/stages/gcezoneoperationsinput.py | jnelly79/Data-Pipeline | 0bdd1664bc9ff5e36928c4609ef6127ef1e1fb3f | [
"Apache-2.0"
] | 28 | 2015-01-30T11:48:47.000Z | 2021-10-09T18:36:02.000Z | # Copyright 2013 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 37.92029 | 80 | 0.688133 |
import contextlib
import cStringIO as StringIO
import datetime
import json
import logging
import re
import sets
import time
from src.clients import bigquery
from src.clients import computeengine
from src.clients import gcs
from src.pipelines import pipeline
class GceZoneOperationsInputException(Exception):
class... | true | true |
08f53f948fe09b198b58f3233e9c77a08da8c757 | 2,359 | py | Python | homeassistant/components/config/device_registry.py | itewk/home-assistant | 769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4 | [
"Apache-2.0"
] | 23 | 2017-11-15T21:03:53.000Z | 2021-03-29T21:33:48.000Z | homeassistant/components/config/device_registry.py | itewk/home-assistant | 769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4 | [
"Apache-2.0"
] | 39 | 2016-12-16T12:40:34.000Z | 2017-02-13T17:53:42.000Z | homeassistant/components/config/device_registry.py | itewk/home-assistant | 769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4 | [
"Apache-2.0"
] | 10 | 2018-01-01T00:12:51.000Z | 2021-12-21T23:08:05.000Z | """HTTP views to interact with the device registry."""
import voluptuous as vol
from homeassistant.components import websocket_api
from homeassistant.components.websocket_api.decorators import (
async_response,
require_admin,
)
from homeassistant.core import callback
from homeassistant.helpers.device_registry ... | 29.860759 | 85 | 0.71259 | import voluptuous as vol
from homeassistant.components import websocket_api
from homeassistant.components.websocket_api.decorators import (
async_response,
require_admin,
)
from homeassistant.core import callback
from homeassistant.helpers.device_registry import async_get_registry
WS_TYPE_LIST = "config/devic... | true | true |
08f53fe75cf8de7e489c9cb8d1b86d0322bde92d | 937 | py | Python | Django/django_app_additions/django_app/urls.py | justnclrk/Python | 0922961cbd94694a69ae8132a5c33baf552d8d89 | [
"MIT"
] | null | null | null | Django/django_app_additions/django_app/urls.py | justnclrk/Python | 0922961cbd94694a69ae8132a5c33baf552d8d89 | [
"MIT"
] | 8 | 2020-06-06T01:02:06.000Z | 2022-03-12T00:24:13.000Z | Django/django_app_additions/django_app/urls.py | justnclrk/Python | 0922961cbd94694a69ae8132a5c33baf552d8d89 | [
"MIT"
] | null | null | null | """django_app URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | 37.48 | 79 | 0.685165 | from django.conf.urls import url, include
from django.contrib import admin
urlpatterns = [
url(r'^', include('apps.blog_app.urls')),
url(r'^', include('apps.time_display.urls')),
url(r'^', include('apps.surveys_app.urls')),
url(r'^', include('apps.users_app.urls'))
]
| true | true |
08f5416a679cc2eb13ea924f914797bf954725fa | 1,055 | py | Python | model/dataset/utils/set_dataset_path.py | zekunhao1995/ControllableVideoGen | cae9bdf46a4eee1145b268ec74189f9f6ccbbb42 | [
"Apache-2.0"
] | 41 | 2018-06-05T09:34:11.000Z | 2021-09-01T10:58:25.000Z | model/dataset/utils/set_dataset_path.py | khz1995/ControllableVideoGen | cae9bdf46a4eee1145b268ec74189f9f6ccbbb42 | [
"Apache-2.0"
] | null | null | null | model/dataset/utils/set_dataset_path.py | khz1995/ControllableVideoGen | cae9bdf46a4eee1145b268ec74189f9f6ccbbb42 | [
"Apache-2.0"
] | 7 | 2018-06-12T00:57:42.000Z | 2021-04-17T07:58:34.000Z | import json
dataset_path = {}
dataset_path['robot_push_jpgs_h5_train'] = '/datasets/robot_push_h5/robot_push_jpgs.h5'
dataset_path['robot_push_jpgs_h5_test'] = '/datasets/robot_push_h5/robot_push_testnovel_jpgs.h5'
dataset_path['robot_push_traj_h5_train'] = '/trajectories/rp/traj_stor_train.h5'
dataset_path['robot_pus... | 45.869565 | 96 | 0.778199 | import json
dataset_path = {}
dataset_path['robot_push_jpgs_h5_train'] = '/datasets/robot_push_h5/robot_push_jpgs.h5'
dataset_path['robot_push_jpgs_h5_test'] = '/datasets/robot_push_h5/robot_push_testnovel_jpgs.h5'
dataset_path['robot_push_traj_h5_train'] = '/trajectories/rp/traj_stor_train.h5'
dataset_path['robot_pus... | true | true |
08f54184b3615579e77ec76473293e3caa0455d2 | 13,276 | py | Python | capstone/scripts/link_scdb.py | holtchesley/capstone | ee8870bdfe28a776b941ac1a567a89a6c22da438 | [
"MIT"
] | null | null | null | capstone/scripts/link_scdb.py | holtchesley/capstone | ee8870bdfe28a776b941ac1a567a89a6c22da438 | [
"MIT"
] | null | null | null | capstone/scripts/link_scdb.py | holtchesley/capstone | ee8870bdfe28a776b941ac1a567a89a6c22da438 | [
"MIT"
] | null | null | null | import csv
import re
from collections import defaultdict, Counter
from difflib import get_close_matches
from math import log
from pathlib import Path
from django.conf import settings
from django.db import connections
from tqdm import tqdm
from capdb.models import Citation, EditLog, Reporter, CaseMetadata, normalize_c... | 46.582456 | 166 | 0.642588 | import csv
import re
from collections import defaultdict, Counter
from difflib import get_close_matches
from math import log
from pathlib import Path
from django.conf import settings
from django.db import connections
from tqdm import tqdm
from capdb.models import Citation, EditLog, Reporter, CaseMetadata, normalize_c... | true | true |
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