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classes | is_sharp_comment_removed bool 1
class |
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1c384f35d72b0cdb3ecdc5e040b85c709490a00d | 3,271 | py | Python | python/pyarrow/tests/test_misc.py | tanyaschlusser/arrow | 77c6cd3237a2b305cf9c086cbf8d0a49be016701 | [
"Apache-2.0",
"CC0-1.0"
] | 1 | 2021-01-28T17:30:06.000Z | 2021-01-28T17:30:06.000Z | python/pyarrow/tests/test_misc.py | ivanyu/arrow | 5d1934fc3f5c65f70a3966b71c68941b2fd8d362 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | python/pyarrow/tests/test_misc.py | ivanyu/arrow | 5d1934fc3f5c65f70a3966b71c68941b2fd8d362 | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 25.161538 | 72 | 0.690614 |
import os
import pytest
import pyarrow as pa
def test_get_include():
include_dir = pa.get_include()
assert os.path.exists(os.path.join(include_dir, 'arrow', 'api.h'))
@pytest.mark.skipif('sys.platform != "win32"')
def test_get_library_dirs_win32():
library_dirs = pa.get_library_dirs()
... | true | true |
1c3851b3d43779cdb1f4c93db026666f01001b41 | 111 | py | Python | tiingo_prices/__init__.py | robren/tiingo_prices | 3e7f45728b0c5a4a4e60f552b2fda97aa8340a20 | [
"MIT"
] | null | null | null | tiingo_prices/__init__.py | robren/tiingo_prices | 3e7f45728b0c5a4a4e60f552b2fda97aa8340a20 | [
"MIT"
] | 1 | 2020-08-11T18:16:20.000Z | 2020-08-11T18:16:20.000Z | tiingo_prices/__init__.py | robren/tiingo_prices | 3e7f45728b0c5a4a4e60f552b2fda97aa8340a20 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = """Robert Rennison"""
__email__ = 'rob@robren.net'
__version__ = '0.3.1'
| 18.5 | 34 | 0.621622 |
__author__ = """Robert Rennison"""
__email__ = 'rob@robren.net'
__version__ = '0.3.1'
| true | true |
1c38532383da6d8d572acc687d189e7ed6fd9a0d | 3,795 | py | Python | snake/base/map.py | AuthurExcalbern/AI-Snake | 5dee76fcecd40add58a432ca8b88880b00ac45b9 | [
"MIT"
] | null | null | null | snake/base/map.py | AuthurExcalbern/AI-Snake | 5dee76fcecd40add58a432ca8b88880b00ac45b9 | [
"MIT"
] | 1 | 2018-03-24T08:50:32.000Z | 2018-03-28T11:11:50.000Z | snake/base/map.py | AuthurExcalbern/AI-Snake | 5dee76fcecd40add58a432ca8b88880b00ac45b9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# pylint: disable=C0103,C0111,W0201,W0212
"""Definition of class Map."""
import random
from snake.base.point import Point, PointType
from snake.base.pos import Pos
class Map:
"""2D game map."""
def __init__(self, num_rows, num_cols):
"""Initialize a M... | 30.853659 | 85 | 0.560474 |
import random
from snake.base.point import Point, PointType
from snake.base.pos import Pos
class Map:
def __init__(self, num_rows, num_cols):
if not isinstance(num_rows, int) or not isinstance(num_cols, int):
raise TypeError("\'num_rows\' and \'num_cols\' must be integers")
if n... | true | true |
1c385327f6e8f54f165abb2360d61facae4ffb2f | 2,063 | py | Python | tasks/UDEMY/100_days/L003/day-3-1.py | AleksNeStu/projects | 1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb | [
"Apache-2.0"
] | 2 | 2022-01-19T18:01:35.000Z | 2022-02-06T06:54:38.000Z | tasks/UDEMY/100_days/L003/day-3-1.py | AleksNeStu/projects | 1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb | [
"Apache-2.0"
] | null | null | null | tasks/UDEMY/100_days/L003/day-3-1.py | AleksNeStu/projects | 1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb | [
"Apache-2.0"
] | null | null | null | # ๐จ Don't change the code below ๐
number = int(input("Which number do you want to check? "))
# ๐จ Don't change the code above ๐
print("This is an even number." if number % 2 == 0
else "This is an odd number.")
#First *fork* your copy. Then copy-paste your code below this line ๐
#Finally click "Run" to execute... | 21.05102 | 122 | 0.663112 |
number = int(input("Which number do you want to check? "))
# ๐จ Don't change the code above ๐
print("This is an even number." if number % 2 == 0
else "This is an odd number.")
t_func():\n')
with open('day-3-1.py', 'r') as original:
f2 = original.readlines()[0:40]
for x in f2:
... | true | true |
1c3854a737ecb7b13cdce6d01922540741c2e1c5 | 8,734 | py | Python | train.py | Moses7D/Keras-YOLOv3 | 6a2e0bdd921068e0b77106b83c25c24794877907 | [
"MIT"
] | null | null | null | train.py | Moses7D/Keras-YOLOv3 | 6a2e0bdd921068e0b77106b83c25c24794877907 | [
"MIT"
] | null | null | null | train.py | Moses7D/Keras-YOLOv3 | 6a2e0bdd921068e0b77106b83c25c24794877907 | [
"MIT"
] | null | null | null | """
Retrain the YOLO model for your own dataset.
"""
import numpy as np
import keras.backend as K
from keras.layers import Input, Lambda
from keras.models import Model
from keras.optimizers import Adam
from keras.callbacks import TensorBoard, ModelCheckpoint, ReduceLROnPlateau, EarlyStopping
from yolo3.model import p... | 43.452736 | 129 | 0.680788 | """
Retrain the YOLO model for your own dataset.
"""
import numpy as np
import keras.backend as K
from keras.layers import Input, Lambda
from keras.models import Model
from keras.optimizers import Adam
from keras.callbacks import TensorBoard, ModelCheckpoint, ReduceLROnPlateau, EarlyStopping
from yolo3.model import p... | false | true |
1c3854aecee3c4aeeb666f82155b1d9948d1b537 | 13,148 | py | Python | maskrcnn_benchmark-dota/modeling/rpn/rfcos/smallerRF_wo_clsloss.py | RSIA-LIESMARS-WHU/AxisLearning | 5a108860c959a200811f9643d567ca7883c74875 | [
"BSD-2-Clause"
] | 3 | 2021-01-26T07:03:26.000Z | 2021-02-03T12:14:05.000Z | maskrcnn_benchmark/modeling/rpn/rfcos/smallerRF_wo_clsloss.py | RSIA-LIESMARS-WHU/AxisLearning | 5a108860c959a200811f9643d567ca7883c74875 | [
"BSD-2-Clause"
] | null | null | null | maskrcnn_benchmark/modeling/rpn/rfcos/smallerRF_wo_clsloss.py | RSIA-LIESMARS-WHU/AxisLearning | 5a108860c959a200811f9643d567ca7883c74875 | [
"BSD-2-Clause"
] | null | null | null | """
This file contains specific functions for computing losses of FCOS
file
"""
import torch
from torch.nn import functional as F
from torch import nn
from ..utils import concat_box_prediction_layers
from maskrcnn_benchmark.layers import IOULoss
from maskrcnn_benchmark.layers import SigmoidFocalLoss, smooth_l1_loss
f... | 40.580247 | 189 | 0.599255 |
import torch
from torch.nn import functional as F
from torch import nn
from ..utils import concat_box_prediction_layers
from maskrcnn_benchmark.layers import IOULoss
from maskrcnn_benchmark.layers import SigmoidFocalLoss, smooth_l1_loss
from maskrcnn_benchmark.modeling.matcher import Matcher
from maskrcnn_benchmark.m... | true | true |
1c385522dc3ad879da84161cb05818f4cd356848 | 8,193 | py | Python | powerline_shell/colortrans.py | vivekkrish/powerline-shell | ad27ed4ccc28f314d7985776b8e8663a33a67102 | [
"MIT"
] | 2,656 | 2017-11-28T05:11:53.000Z | 2022-03-31T14:10:18.000Z | powerline_shell/colortrans.py | vivekkrish/powerline-shell | ad27ed4ccc28f314d7985776b8e8663a33a67102 | [
"MIT"
] | 193 | 2017-11-28T23:20:17.000Z | 2022-03-25T12:57:55.000Z | powerline_shell/colortrans.py | vivekkrish/powerline-shell | ad27ed4ccc28f314d7985776b8e8663a33a67102 | [
"MIT"
] | 387 | 2017-11-29T22:33:39.000Z | 2022-03-31T18:24:35.000Z | #! /usr/bin/env python
"""
Code is modified (fairly heavily) by hryanjones@gmail.com from
https://gist.github.com/MicahElliott/719710
Convert values between RGB tuples and xterm-256 color codes.
Nice long listing of all 256 colors and their codes. Useful for
developing console color themes, or even script output sch... | 25.683386 | 84 | 0.45368 |
__author__ = 'Micah Elliott http://MicahElliott.com'
__version__ = '0.1'
__copyright__ = 'Copyright (C) 2011 Micah Elliott. All rights reserved.'
__license__ = 'WTFPL http://sam.zoy.org/wtfpl/'
def hexstr2num(hexstr):
return int(hexstr, 16)
def rgbstring2tuple(s):
return tuple([hexstr2num(h) for... | true | true |
1c38553cfee6e8a970919d085bb6fbe062063cc1 | 773 | py | Python | src/qgis_ros/core/translators/json_transport.py | acfrmarine/qgis_ros | 01dd107f963b87df063bf2f11b0a484f4323cae9 | [
"MIT"
] | 31 | 2018-09-11T17:50:17.000Z | 2021-09-13T11:48:47.000Z | src/qgis_ros/core/translators/json_transport.py | acfrmarine/qgis_ros | 01dd107f963b87df063bf2f11b0a484f4323cae9 | [
"MIT"
] | 9 | 2018-09-11T00:45:23.000Z | 2022-01-07T13:19:20.000Z | src/qgis_ros/core/translators/json_transport.py | acfrmarine/qgis_ros | 01dd107f963b87df063bf2f11b0a484f4323cae9 | [
"MIT"
] | 9 | 2018-10-12T12:31:38.000Z | 2021-06-05T02:52:44.000Z | import json_transport
from .translator import Translator, VectorTranslatorMixin
class JSONTransportTranslator(Translator, VectorTranslatorMixin):
messageType = json_transport.PackedJson
# geomType = Translator.GeomTypes.Unknown # Need to detect this from the first message.
geomType = Translator.GeomTyp... | 30.92 | 92 | 0.683053 | import json_transport
from .translator import Translator, VectorTranslatorMixin
class JSONTransportTranslator(Translator, VectorTranslatorMixin):
messageType = json_transport.PackedJson
@staticmethod
def translate(msg):
msg = msg.data
if isinstance(msg, list):
... | true | true |
1c3855af57ee7989c4d5d05a2f3435cc8c8f1ddf | 16,700 | py | Python | unicorn_binance_websocket_api/restclient.py | HrTran/unicorn-binance-websocket-api | 64da01868a8c251a486993b868f0de5083922d64 | [
"MIT"
] | null | null | null | unicorn_binance_websocket_api/restclient.py | HrTran/unicorn-binance-websocket-api | 64da01868a8c251a486993b868f0de5083922d64 | [
"MIT"
] | null | null | null | unicorn_binance_websocket_api/restclient.py | HrTran/unicorn-binance-websocket-api | 64da01868a8c251a486993b868f0de5083922d64 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# File: unicorn_binance_websocket_api/restclient.py
#
# Part of โUNICORN Binance WebSocket APIโ
# Project website: https://github.com/LUCIT-Systems-and-Development/unicorn-binance-websocket-api
# Documentation: https://lucit-systems-and-development.github.io/unicorn-bina... | 46.648045 | 130 | 0.614731 |
import json
import logging
import requests
import socket
import threading
import time
logger = logging.getLogger(__name__)
class BinanceWebSocketApiRestclient(object):
def __init__(self, manager):
self.manager = manager
self.api_key = False
self.api_secre... | true | true |
1c38572ef8d952a91c39c221f8b1ab75118fae3b | 536 | py | Python | helloWorldApp/app/__init__.py | OscarPalominoC/cursoFlask | 8f87b8165a45c1c0124184e9866a505def463e44 | [
"MIT"
] | null | null | null | helloWorldApp/app/__init__.py | OscarPalominoC/cursoFlask | 8f87b8165a45c1c0124184e9866a505def463e44 | [
"MIT"
] | null | null | null | helloWorldApp/app/__init__.py | OscarPalominoC/cursoFlask | 8f87b8165a45c1c0124184e9866a505def463e44 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_bootstrap import Bootstrap
from flask_login import LoginManager
from .config import Config
from .auth import auth
from .models import UserModel
login_manager = LoginManager()
login_manager.login_view = 'auth.login'
@login_manager.user_loader
def load_user(username):
return User... | 20.615385 | 39 | 0.774254 | from flask import Flask
from flask_bootstrap import Bootstrap
from flask_login import LoginManager
from .config import Config
from .auth import auth
from .models import UserModel
login_manager = LoginManager()
login_manager.login_view = 'auth.login'
@login_manager.user_loader
def load_user(username):
return User... | true | true |
1c385763e55768956dcf5c96c892d9d54ca34977 | 31,252 | py | Python | libqtile/backend/wayland/window.py | flexagoon/qtile | ecf79a91da058dc9f8dd032a42e13eac9c2a270d | [
"MIT"
] | null | null | null | libqtile/backend/wayland/window.py | flexagoon/qtile | ecf79a91da058dc9f8dd032a42e13eac9c2a270d | [
"MIT"
] | null | null | null | libqtile/backend/wayland/window.py | flexagoon/qtile | ecf79a91da058dc9f8dd032a42e13eac9c2a270d | [
"MIT"
] | null | null | null | # Copyright (c) 2021 Matt Colligan
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distr... | 34.043573 | 97 | 0.615001 |
from __future__ import annotations
import functools
import typing
import cairocffi
import pywayland
from wlroots import ffi
from wlroots.util.edges import Edges
from wlroots.wlr_types import Box, Texture
from wlroots.wlr_types.layer_shell_v1 import LayerSurfaceV1
from wlroots.wlr_types.xdg_shell i... | true | true |
1c38577e134f72b07ab4abb9295e13d7a7e60dc3 | 561 | py | Python | apps/lasso/script/kill.py | daiwei89/wdai_petuum_public | 4068859897061201d0a63630a3da6011b0d0f75f | [
"BSD-3-Clause"
] | null | null | null | apps/lasso/script/kill.py | daiwei89/wdai_petuum_public | 4068859897061201d0a63630a3da6011b0d0f75f | [
"BSD-3-Clause"
] | null | null | null | apps/lasso/script/kill.py | daiwei89/wdai_petuum_public | 4068859897061201d0a63630a3da6011b0d0f75f | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import os, sys
from os.path import dirname
from os.path import join
if len(sys.argv) != 2:
print "usage: ./kill.py <hostfile>"
sys.exit(1)
hostfile = sys.argv[1]
# Get host IPs
with open(hostfile, "r") as f:
hostlines = f.read().splitlines()
host_ips = [line.split()[1] for line in hostli... | 19.344828 | 50 | 0.652406 |
import os, sys
from os.path import dirname
from os.path import join
if len(sys.argv) != 2:
print "usage: ./kill.py <hostfile>"
sys.exit(1)
hostfile = sys.argv[1]
with open(hostfile, "r") as f:
hostlines = f.read().splitlines()
host_ips = [line.split()[1] for line in hostlines]
ssh_cmd = (
"ssh "
"-... | false | true |
1c3857f5ef43f46f8e2416b7d4d3c2c0e9b2c929 | 3,596 | py | Python | ec2instanceconnectcli/mops.py | Hallian/aws-ec2-instance-connect-cli | 95be70889d8503964071dac227507c090a1bc980 | [
"Apache-2.0"
] | null | null | null | ec2instanceconnectcli/mops.py | Hallian/aws-ec2-instance-connect-cli | 95be70889d8503964071dac227507c090a1bc980 | [
"Apache-2.0"
] | null | null | null | ec2instanceconnectcli/mops.py | Hallian/aws-ec2-instance-connect-cli | 95be70889d8503964071dac227507c090a1bc980 | [
"Apache-2.0"
] | null | null | null | # Copyright 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" file acc... | 44.395062 | 166 | 0.689655 |
import sys
import argparse
from ec2instanceconnectcli.EC2InstanceConnectCLI import EC2InstanceConnectCLI
from ec2instanceconnectcli.EC2InstanceConnectKey import EC2InstanceConnectKey
from ec2instanceconnectcli.EC2InstanceConnectCommand import EC2InstanceConnectCommand
from ec2instanceconnectcli.EC2Instanc... | true | true |
1c38582751f28bdc2dffc5c4099f3b071797762e | 3,755 | py | Python | torch_geometric/datasets/flickr.py | beneisner/pytorch_geometric | 53d44a96bd2de2753b1ab1d7153c026c92606a81 | [
"MIT"
] | 1 | 2022-02-17T09:40:17.000Z | 2022-02-17T09:40:17.000Z | torch_geometric/datasets/flickr.py | beneisner/pytorch_geometric | 53d44a96bd2de2753b1ab1d7153c026c92606a81 | [
"MIT"
] | null | null | null | torch_geometric/datasets/flickr.py | beneisner/pytorch_geometric | 53d44a96bd2de2753b1ab1d7153c026c92606a81 | [
"MIT"
] | 1 | 2021-06-16T11:40:43.000Z | 2021-06-16T11:40:43.000Z | from typing import Optional, Callable, List
import json
import os.path as osp
import torch
import numpy as np
import scipy.sparse as sp
from google_drive_downloader import GoogleDriveDownloader as gdd
from torch_geometric.data import InMemoryDataset, Data
class Flickr(InMemoryDataset):
r"""The Flickr dataset fr... | 38.71134 | 79 | 0.656724 | from typing import Optional, Callable, List
import json
import os.path as osp
import torch
import numpy as np
import scipy.sparse as sp
from google_drive_downloader import GoogleDriveDownloader as gdd
from torch_geometric.data import InMemoryDataset, Data
class Flickr(InMemoryDataset):
adj_full_id = '1crmsTbd1... | true | true |
1c3858d364bdb885edc680b7942cf284a92dde06 | 192 | py | Python | filer_addons/filer_gui/admin/__init__.py | benzkji/django-filer-addons | 0220b1c75520dcda9ec1fe6a46e62a66735c7699 | [
"MIT"
] | null | null | null | filer_addons/filer_gui/admin/__init__.py | benzkji/django-filer-addons | 0220b1c75520dcda9ec1fe6a46e62a66735c7699 | [
"MIT"
] | 23 | 2017-06-17T07:11:07.000Z | 2020-11-06T17:05:05.000Z | filer_addons/filer_gui/admin/__init__.py | benzkji/django-filer-addons | 0220b1c75520dcda9ec1fe6a46e62a66735c7699 | [
"MIT"
] | 2 | 2017-06-20T09:25:09.000Z | 2017-08-03T07:38:17.000Z | from __future__ import unicode_literals
from django.contrib import admin
from .api import FilerGuiAdmin
from ..models import FilerGuiFile
admin.site.register(FilerGuiFile, FilerGuiAdmin)
| 17.454545 | 48 | 0.833333 | from __future__ import unicode_literals
from django.contrib import admin
from .api import FilerGuiAdmin
from ..models import FilerGuiFile
admin.site.register(FilerGuiFile, FilerGuiAdmin)
| true | true |
1c38592f9643bb88ae18a29c8b362c5be017dfa0 | 430 | py | Python | jms_oidc_rp/admin.py | BaiJiangJie/jumpserver-django-oidc-rp | b2d6a63dd82214263b8971412a9043268c31ba7f | [
"MIT"
] | 20 | 2018-04-16T13:17:35.000Z | 2021-06-05T00:08:33.000Z | jms_oidc_rp/admin.py | BaiJiangJie/jumpserver-django-oidc-rp | b2d6a63dd82214263b8971412a9043268c31ba7f | [
"MIT"
] | 9 | 2018-07-20T18:19:13.000Z | 2021-12-22T08:57:18.000Z | oidc_rp/admin.py | bcgov/django-oidc-rp | 50e6fa143e61b04849b4c66beef078be0d7669de | [
"MIT"
] | 21 | 2018-07-10T16:05:44.000Z | 2022-01-24T05:57:09.000Z | """
OpenID Connect relying party (RP) model admin definitions
=========================================================
This module defines admin classes used to populate the Django administration dashboard.
"""
from django.contrib import admin
from .models import OIDCUser
@admin.register(OIDCUser)
cl... | 22.631579 | 91 | 0.616279 |
from django.contrib import admin
from .models import OIDCUser
@admin.register(OIDCUser)
class UserAdmin(admin.ModelAdmin):
list_display = ('sub', 'user', )
| true | true |
1c38594b131a1b460726372bc8e9479ebc4c1a0f | 44,677 | py | Python | classic_heuristics/gapvrp.py | mschmidt87/VeRyPy | 3086288cf203bbe6dc488de72fb6f8ea2a1382e6 | [
"MIT"
] | 1 | 2020-07-14T15:47:07.000Z | 2020-07-14T15:47:07.000Z | classic_heuristics/gapvrp.py | mrwright313/VeRyPy | eaac6e210d861441071565575750a2f0e25dfb72 | [
"MIT"
] | null | null | null | classic_heuristics/gapvrp.py | mrwright313/VeRyPy | eaac6e210d861441071565575750a2f0e25dfb72 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
""" This file is a part of the VeRyPy classical vehicle routing problem
heuristic library and provides an implementation of the Fisher&Jaikumar (1981)
heuristic, which generates an approximate s... | 47.327331 | 168 | 0.583298 |
emand (%.2f)" %\
(prev_node_i, cone_fraction*100, d[prev_node_i]))
else:
log(DEBUG-3,"Node %d, added %.2f %% of cost (%.2f)" %\
(prev_node_i, cone_fraction*100, 0.5*D[prev_node_i,i]))
log(DEBUG-2,"G... | true | true |
1c385a3f212c43b7b143336820cc95534fcd766b | 1,761 | py | Python | src/api/authentication/social_login_signup.py | ThaDeveloper/grind | fa90b65d12e6d9b3d658b132874801ecda08c57f | [
"MIT"
] | 1 | 2019-11-06T22:26:26.000Z | 2019-11-06T22:26:26.000Z | src/api/authentication/social_login_signup.py | ThaDeveloper/grind | fa90b65d12e6d9b3d658b132874801ecda08c57f | [
"MIT"
] | 5 | 2021-03-19T02:49:44.000Z | 2021-06-10T19:13:00.000Z | src/api/authentication/social_login_signup.py | ThaDeveloper/grind | fa90b65d12e6d9b3d658b132874801ecda08c57f | [
"MIT"
] | null | null | null | import uuid
from rest_framework.response import Response
from rest_framework import status
from api.models import User
from api.helpers.get_response import custom_reponse
class SocialAuth:
"""
Logs in/ registers a new social user.
"""
def social_login_signup(self, user_info, **kwargs):
"""
... | 33.865385 | 74 | 0.545713 | import uuid
from rest_framework.response import Response
from rest_framework import status
from api.models import User
from api.helpers.get_response import custom_reponse
class SocialAuth:
def social_login_signup(self, user_info, **kwargs):
try:
user = User.objects.get(email=user_info.get('... | true | true |
1c385a8aa041e66422af67145f40f8881410313a | 4,766 | py | Python | gcloud/core/apis/drf/viewsets/utils.py | qqqqqie/bk-sops | f2e734c2cdac76f89d2e4f0fd7de36168e452141 | [
"Apache-2.0"
] | 881 | 2019-03-25T02:45:42.000Z | 2022-03-30T09:10:49.000Z | gcloud/core/apis/drf/viewsets/utils.py | m0re-work/bk-sops | d03ba8a4ee0781c6daaf0dd38a7369dc82669f7d | [
"Apache-2.0"
] | 3,303 | 2019-03-25T04:18:03.000Z | 2022-03-31T11:52:03.000Z | gcloud/core/apis/drf/viewsets/utils.py | m0re-work/bk-sops | d03ba8a4ee0781c6daaf0dd38a7369dc82669f7d | [
"Apache-2.0"
] | 395 | 2019-03-25T02:53:36.000Z | 2022-03-31T08:37:28.000Z | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making ่้ฒธๆบไบPaaSๅนณๅฐ็คพๅบ็ (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | 38.128 | 118 | 0.672472 |
import logging
from iam import Subject, Action, MultiActionRequest
from iam.shortcuts import allow_or_raise_auth_failed
from rest_framework import status
from rest_framework.exceptions import ErrorDetail
from rest_framework.response import Response
from rest_framework.viewsets import GenericViewSet
from gcloud impor... | true | true |
1c385d6490b25ea69dde00beb4f6ee638b4d42f2 | 2,032 | py | Python | corus/sources/taiga/nplus1.py | Ilseyar/corus | 61a4776f5e534469bb9df1e451b6a6d5fc0e991b | [
"MIT"
] | 205 | 2019-05-01T07:38:01.000Z | 2022-03-30T04:02:54.000Z | corus/sources/taiga/nplus1.py | Ilseyar/corus | 61a4776f5e534469bb9df1e451b6a6d5fc0e991b | [
"MIT"
] | 78 | 2019-04-29T06:53:53.000Z | 2021-09-20T14:51:25.000Z | corus/sources/taiga/nplus1.py | Ilseyar/corus | 61a4776f5e534469bb9df1e451b6a6d5fc0e991b | [
"MIT"
] | 18 | 2019-06-19T09:56:10.000Z | 2022-01-30T14:55:14.000Z |
from datetime import datetime
from .common import (
Author,
Meta,
load_tar_metas,
load_tar_texts,
patch_month,
merge_metas,
)
# {'author': 'ะะปะฐะดะธะผะธั ะะพัะพะปะตะฒ',
# 'authorreaders': '',
# 'authortexts': '',
# 'date': '21 ะฏะฝะฒ. 2017',
# 'magazine': '',
# 'segment': 'nplus1',
# 'source'... | 22.577778 | 69 | 0.572835 |
from datetime import datetime
from .common import (
Author,
Meta,
load_tar_metas,
load_tar_texts,
patch_month,
merge_metas,
)
NPLUS1_MONTHS = {
'ะฏะฝะฒ.': 'Jan',
'ะคะตะฒ.': 'Feb',
'ะะฐัั': 'Mar',
'ะะฟั.': 'Apr',
'ะะฐะน': 'May',
'ะัะฝั': 'Jun',
'ะัะปั': 'Jul',
... | true | true |
1c385f91a9b3b361993612243a63eebb6335184b | 6,325 | py | Python | tests.py | badalraina31/snappass | f16106acc7cada1b3f77fddd312faa963e0b6e20 | [
"MIT"
] | null | null | null | tests.py | badalraina31/snappass | f16106acc7cada1b3f77fddd312faa963e0b6e20 | [
"MIT"
] | null | null | null | tests.py | badalraina31/snappass | f16106acc7cada1b3f77fddd312faa963e0b6e20 | [
"MIT"
] | null | null | null | import re
import time
import unittest
import uuid
from unittest import TestCase
from unittest import mock
from urllib.parse import unquote
from cryptography.fernet import Fernet
from freezegun import freeze_time
from werkzeug.exceptions import BadRequest
from fakeredis import FakeStrictRedis
# noinspection PyPep8Nami... | 38.567073 | 106 | 0.655178 | import re
import time
import unittest
import uuid
from unittest import TestCase
from unittest import mock
from urllib.parse import unquote
from cryptography.fernet import Fernet
from freezegun import freeze_time
from werkzeug.exceptions import BadRequest
from fakeredis import FakeStrictRedis
import snappass.main as ... | true | true |
1c3860194879062b51704087b47e5edb5d95420a | 11,828 | py | Python | src/probnum/randprocs/markov/integrator/_iwp.py | alpiges/probnum | 2e4153cb0df559984e09ec74487ef6c9d3f6d464 | [
"MIT"
] | null | null | null | src/probnum/randprocs/markov/integrator/_iwp.py | alpiges/probnum | 2e4153cb0df559984e09ec74487ef6c9d3f6d464 | [
"MIT"
] | 40 | 2021-04-12T07:56:29.000Z | 2022-03-28T00:18:18.000Z | src/probnum/randprocs/markov/integrator/_iwp.py | alpiges/probnum | 2e4153cb0df559984e09ec74487ef6c9d3f6d464 | [
"MIT"
] | null | null | null | """Integrated Brownian motion."""
try:
# cached_property is only available in Python >=3.8
from functools import cached_property
except ImportError:
from cached_property import cached_property
import warnings
import numpy as np
import scipy.special
from probnum import config, linops, randvars
from probn... | 37.07837 | 118 | 0.644234 |
try:
from functools import cached_property
except ImportError:
from cached_property import cached_property
import warnings
import numpy as np
import scipy.special
from probnum import config, linops, randvars
from probnum.randprocs.markov import _markov_process, continuous, discrete
from probnum.randpro... | true | true |
1c386043c55d45b1b88ea0a2646c4901ed16ed5a | 950 | py | Python | distribulator/engine/mode/Mode.py | adace74/test | b7b45fae6c4ba6ffe8a04c45b6e2bf23a918226b | [
"BSD-3-Clause"
] | null | null | null | distribulator/engine/mode/Mode.py | adace74/test | b7b45fae6c4ba6ffe8a04c45b6e2bf23a918226b | [
"BSD-3-Clause"
] | null | null | null | distribulator/engine/mode/Mode.py | adace74/test | b7b45fae6c4ba6ffe8a04c45b6e2bf23a918226b | [
"BSD-3-Clause"
] | null | null | null | ######################################################################
#
# $Id$
#
# (c) Copyright 2004 Orbitz, Inc. All Rights Reserved.
# Please see the accompanying LICENSE file for license information.
#
######################################################################
# Pydoc comments
"""This class is the ba... | 25 | 76 | 0.413684 | true | true | |
1c38615b6e5a27005bd983f0f82fb8dfb4efac93 | 425 | py | Python | rest/notification/list-get-example-1/list-get-example-1.5.x.py | azaddeveloper/api-snippets | f88b153cd7186fa70b33733b205886502db0d1f2 | [
"MIT"
] | 2 | 2017-11-23T11:31:20.000Z | 2018-01-22T04:14:02.000Z | rest/notification/list-get-example-1/list-get-example-1.5.x.py | azaddeveloper/api-snippets | f88b153cd7186fa70b33733b205886502db0d1f2 | [
"MIT"
] | null | null | null | rest/notification/list-get-example-1/list-get-example-1.5.x.py | azaddeveloper/api-snippets | f88b153cd7186fa70b33733b205886502db0d1f2 | [
"MIT"
] | 2 | 2020-05-22T23:31:21.000Z | 2021-06-10T18:33:45.000Z | # Download the Python helper library from twilio.com/docs/python/install
from twilio.rest import TwilioRestClient
# Your Account Sid and Auth Token from twilio.com/user/account
account_sid = "ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
auth_token = "your_auth_token"
client = TwilioRestClient(account_sid, auth_token)
# A list... | 38.636364 | 72 | 0.828235 |
from twilio.rest import TwilioRestClient
account_sid = "ACXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
auth_token = "your_auth_token"
client = TwilioRestClient(account_sid, auth_token)
notifications = client.notifications.list()
| true | true |
1c38619eee36a6d8e0be87801ad8d87b80681fc2 | 6,617 | py | Python | assignment1/cs231n/classifiers/fc_net.py | qiaw99/CS231n-Convolutional-Neural-Networks-for-Visual-Recognition | 5949b4f68f04e23751879dbc679e7708735d313f | [
"Apache-2.0"
] | null | null | null | assignment1/cs231n/classifiers/fc_net.py | qiaw99/CS231n-Convolutional-Neural-Networks-for-Visual-Recognition | 5949b4f68f04e23751879dbc679e7708735d313f | [
"Apache-2.0"
] | null | null | null | assignment1/cs231n/classifiers/fc_net.py | qiaw99/CS231n-Convolutional-Neural-Networks-for-Visual-Recognition | 5949b4f68f04e23751879dbc679e7708735d313f | [
"Apache-2.0"
] | null | null | null | from builtins import range
from builtins import object
import numpy as np
from ..layers import *
from ..layer_utils import *
class TwoLayerNet(object):
"""
A two-layer fully-connected neural network with ReLU nonlinearity and
softmax loss that uses a modular layer design. We assume an input dimension
... | 47.264286 | 143 | 0.484207 | from builtins import range
from builtins import object
import numpy as np
from ..layers import *
from ..layer_utils import *
class TwoLayerNet(object):
def __init__(
self,
input_dim=3 * 32 * 32,
hidden_dim=100,
num_classes=10,
weight_scale=1e-3,
reg=0.0,
):
... | true | true |
1c3861b42892e0760a2b57f037101b3f9ff8dd62 | 11,482 | py | Python | pcdet/models/roi_heads/voxelrcnn_head.py | EmiyaNing/OpenPCDet | 41ff28209cb000b51626a0ed8593b0adbe3dd447 | [
"Apache-2.0"
] | null | null | null | pcdet/models/roi_heads/voxelrcnn_head.py | EmiyaNing/OpenPCDet | 41ff28209cb000b51626a0ed8593b0adbe3dd447 | [
"Apache-2.0"
] | null | null | null | pcdet/models/roi_heads/voxelrcnn_head.py | EmiyaNing/OpenPCDet | 41ff28209cb000b51626a0ed8593b0adbe3dd447 | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
from ...ops.pointnet2.pointnet2_stack import voxel_pool_modules as voxelpool_stack_modules
from ...utils import common_utils
from .roi_head_template import RoIHeadTemplate
class VoxelRCNNHead(RoIHeadTemplate):
def __init__(self, backbone_channels, model_cfg, point_cloud_range, v... | 45.027451 | 116 | 0.620536 | import torch
import torch.nn as nn
from ...ops.pointnet2.pointnet2_stack import voxel_pool_modules as voxelpool_stack_modules
from ...utils import common_utils
from .roi_head_template import RoIHeadTemplate
class VoxelRCNNHead(RoIHeadTemplate):
def __init__(self, backbone_channels, model_cfg, point_cloud_range, v... | true | true |
1c3861f9352bd1c49f29f5b231e79694c4ccbaae | 1,148 | py | Python | setup.py | anoadragon453/matrix-nio | e157c5fed96d75797bbb0fadaa0c473fe11b5e6a | [
"Apache-2.0"
] | null | null | null | setup.py | anoadragon453/matrix-nio | e157c5fed96d75797bbb0fadaa0c473fe11b5e6a | [
"Apache-2.0"
] | null | null | null | setup.py | anoadragon453/matrix-nio | e157c5fed96d75797bbb0fadaa0c473fe11b5e6a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from os import path
from io import open
from setuptools import find_packages, setup
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name="matrix-nio",
version="0.5",
... | 25.511111 | 78 | 0.585366 |
from os import path
from io import open
from setuptools import find_packages, setup
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name="matrix-nio",
version="0.5",
url="https://github... | true | true |
1c386306cbf996ad6e0e5a309be4b1867d2be2d2 | 127 | py | Python | iot_kernel/__main__.py | iot49/iot-kernel | 5eb3e32a7e63b6ce5297cbab3df48d50d45cad50 | [
"MIT"
] | 2 | 2021-07-01T12:32:43.000Z | 2021-12-16T22:21:20.000Z | iot_kernel/__main__.py | iot49/iot-kernel | 5eb3e32a7e63b6ce5297cbab3df48d50d45cad50 | [
"MIT"
] | null | null | null | iot_kernel/__main__.py | iot49/iot-kernel | 5eb3e32a7e63b6ce5297cbab3df48d50d45cad50 | [
"MIT"
] | null | null | null | from ipykernel.kernelapp import IPKernelApp
from .kernel import IoTKernel
IPKernelApp.launch_instance(kernel_class=IoTKernel)
| 25.4 | 51 | 0.874016 | from ipykernel.kernelapp import IPKernelApp
from .kernel import IoTKernel
IPKernelApp.launch_instance(kernel_class=IoTKernel)
| true | true |
1c3864289d1471dfe5e1c5439cfcea90e3d1c2a2 | 1,438 | py | Python | tests/test_filename_checking.py | rcbops/flake8-filename | 1bfb0f6174e11bf6d3750aecddcb8e0216ad645b | [
"Apache-2.0"
] | null | null | null | tests/test_filename_checking.py | rcbops/flake8-filename | 1bfb0f6174e11bf6d3750aecddcb8e0216ad645b | [
"Apache-2.0"
] | 4 | 2018-05-30T14:31:43.000Z | 2020-08-10T08:23:28.000Z | tests/test_filename_checking.py | rcbops/flake8-filename | 1bfb0f6174e11bf6d3750aecddcb8e0216ad645b | [
"Apache-2.0"
] | 4 | 2018-05-25T15:21:38.000Z | 2020-02-22T13:04:24.000Z | # -*- coding: utf-8 -*-
import pytest
# args to only use checks that raise an 'N' prefixed error
extra_args = ['--select', 'N']
config = r"""
[flake8]
filename_check1 = filter_regex=test_.+
filename_regex=test_[\w-]+$
"""
def test_pass_filter_and_match_filename(flake8dir):
"""Verify that no v... | 27.132075 | 114 | 0.698192 |
import pytest
extra_args = ['--select', 'N']
config = r"""
[flake8]
filename_check1 = filter_regex=test_.+
filename_regex=test_[\w-]+$
"""
def test_pass_filter_and_match_filename(flake8dir):
flake8dir.make_setup_cfg(config)
flake8dir.make_file('test_File-10.py', 'import sys')
... | true | true |
1c38649c2ee470c2fd8143faecb7a0b42c0a9261 | 3,292 | py | Python | targets/waxwing/base.py | timvideos/litex-buildenv | a103774342c0265458979a79082b233d9ce08edb | [
"BSD-2-Clause"
] | 198 | 2018-01-17T05:39:54.000Z | 2022-03-15T08:59:16.000Z | targets/waxwing/base.py | timvideos/litex-buildenv | a103774342c0265458979a79082b233d9ce08edb | [
"BSD-2-Clause"
] | 610 | 2017-12-31T01:32:32.000Z | 2022-03-19T22:07:28.000Z | targets/waxwing/base.py | timvideos/litex-buildenv | a103774342c0265458979a79082b233d9ce08edb | [
"BSD-2-Clause"
] | 85 | 2018-01-13T05:51:38.000Z | 2022-02-11T18:54:14.000Z | # Support for the Numato Saturn (http://numato.com/product/saturn-spartan-6-fpga-development-board-with-ddr-sdram)
from fractions import Fraction
from migen import *
from litex.soc.integration.soc_sdram import *
from litex.soc.integration.builder import *
from litex.soc.interconnect import wishbone
from litedram.mo... | 38.729412 | 114 | 0.545869 |
from fractions import Fraction
from migen import *
from litex.soc.integration.soc_sdram import *
from litex.soc.integration.builder import *
from litex.soc.interconnect import wishbone
from litedram.modules import MT46H32M16
from litedram.phy import s6ddrphy
from litedram.core import ControllerSettings
from targe... | true | true |
1c3864a2202941f66300375795f86ea08723517c | 9,270 | py | Python | sdk/synapse/azure-mgmt-synapse/azure/mgmt/synapse/operations/_sql_pool_metadata_sync_configs_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/synapse/azure-mgmt-synapse/azure/mgmt/synapse/operations/_sql_pool_metadata_sync_configs_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/synapse/azure-mgmt-synapse/azure/mgmt/synapse/operations/_sql_pool_metadata_sync_configs_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 48.789474 | 213 | 0.68123 |
from typing import TYPE_CHECKING
import warnings
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpRequest, HttpResponse
from azure.m... | true | true |
1c3864ebd82b1039ffbfd4ca1a853f561a39ca03 | 15,279 | py | Python | mol_dqn/experimental/multi_obj_opt.py | awesome-archive/google-research | 6b3c751abbf658b33fb03e51d7b84105d2dbea68 | [
"Apache-2.0"
] | 1 | 2019-02-16T12:17:14.000Z | 2019-02-16T12:17:14.000Z | mol_dqn/experimental/multi_obj_opt.py | awesome-archive/google-research | 6b3c751abbf658b33fb03e51d7b84105d2dbea68 | [
"Apache-2.0"
] | null | null | null | mol_dqn/experimental/multi_obj_opt.py | awesome-archive/google-research | 6b3c751abbf658b33fb03e51d7b84105d2dbea68 | [
"Apache-2.0"
] | 1 | 2019-01-27T13:03:12.000Z | 2019-01-27T13:03:12.000Z | # coding=utf-8
# Copyright 2018 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 35.532558 | 80 | 0.70214 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import json
import os
import random
import time
from absl import app
from absl import flags
from absl import logging
from baselines.common import schedules
from baselines.deepq... | true | true |
1c3865b1827c97a761c449a50ba5bd9d5d47a5ae | 428 | py | Python | logger/logger.py | LalithAdhithya/HandWritten-Digit-Recognition-using-pytorch | b7e99f70a95996886dbdfbfe1d336eaf98eb0cf3 | [
"MIT"
] | 1 | 2021-11-20T03:10:09.000Z | 2021-11-20T03:10:09.000Z | logger/logger.py | ketangangal/HandWritten-Digit-Recognition-Pytorch | 622772c23a59dece9d758338ab4be35064e1c88f | [
"MIT"
] | null | null | null | logger/logger.py | ketangangal/HandWritten-Digit-Recognition-Pytorch | 622772c23a59dece9d758338ab4be35064e1c88f | [
"MIT"
] | null | null | null | from datetime import datetime
class Logger:
def __init__(self, file="logger/general/logs.log"):
self.file = file
def info(self, log_type, log_message):
now = datetime.now()
current_time = now.strftime("%d-%m-%Y %H:%M:%S")
with open(self.file,"a+") as file:
file.wri... | 32.923077 | 107 | 0.565421 | from datetime import datetime
class Logger:
def __init__(self, file="logger/general/logs.log"):
self.file = file
def info(self, log_type, log_message):
now = datetime.now()
current_time = now.strftime("%d-%m-%Y %H:%M:%S")
with open(self.file,"a+") as file:
file.wri... | true | true |
1c38667ce9ae88fa83fe5e9d1903cb559ab2f6b4 | 4,908 | py | Python | torchtime/transforms/functional.py | VincentSch4rf/torchtime | bebd006cd67b31c342e0658285c9771c27411df0 | [
"Apache-2.0"
] | 4 | 2022-02-21T21:23:16.000Z | 2022-03-28T09:06:14.000Z | torchtime/transforms/functional.py | VincentSch4rf/torchtime | bebd006cd67b31c342e0658285c9771c27411df0 | [
"Apache-2.0"
] | null | null | null | torchtime/transforms/functional.py | VincentSch4rf/torchtime | bebd006cd67b31c342e0658285c9771c27411df0 | [
"Apache-2.0"
] | null | null | null | import warnings
from typing import Any, List, Sequence, Tuple, Optional, Union, Set
import numpy as np
import torch
from torch import Tensor
import torch.nn.functional as F
from ..exceptions import DataConversionWarning
from ..utils import _check_unknown
@torch.jit.unused
def _is_numpy(ts: Any) -> bool:
return ... | 34.808511 | 116 | 0.639976 | import warnings
from typing import Any, List, Sequence, Tuple, Optional, Union, Set
import numpy as np
import torch
from torch import Tensor
import torch.nn.functional as F
from ..exceptions import DataConversionWarning
from ..utils import _check_unknown
@torch.jit.unused
def _is_numpy(ts: Any) -> bool:
return ... | true | true |
1c38670351f57dce763404bbccdc3ada447c883f | 24,105 | py | Python | reservoirpy/_base.py | neuronalX/reservoirpy | b150f097451edfa71dbfaee474149b628cd786d4 | [
"MIT"
] | 18 | 2019-03-01T17:15:17.000Z | 2020-12-08T13:12:49.000Z | reservoirpy/_base.py | neuronalX/FunkyReservoir | 37751e9a6be76298e1c14b3816f191f351bfb606 | [
"MIT"
] | 4 | 2019-02-19T09:25:50.000Z | 2020-06-04T16:01:54.000Z | reservoirpy/_base.py | neuronalX/FunkyReservoir | 37751e9a6be76298e1c14b3816f191f351bfb606 | [
"MIT"
] | 12 | 2019-02-08T08:03:42.000Z | 2020-12-16T09:35:47.000Z | # Author: Nathan Trouvain at 15/02/2022 <nathan.trouvain@inria.fr>
# Licence: MIT License
# Copyright: Xavier Hinaut (2018) <xavier.hinaut@inria.fr>
from abc import ABC, abstractmethod
from contextlib import contextmanager
from typing import Any, Dict, Iterator, Sequence, Union
from uuid import uuid4
import numpy as n... | 32.097204 | 88 | 0.541713 |
from abc import ABC, abstractmethod
from contextlib import contextmanager
from typing import Any, Dict, Iterator, Sequence, Union
from uuid import uuid4
import numpy as np
from .type import MappedData, Shape
from .utils import progress
from .utils.validation import check_vector, is_mapping
def _distant_model_inp... | true | true |
1c38676aebd896c554453761a10d47ee56f4f383 | 2,582 | py | Python | e3nn/nn/_fc.py | simonbatzner/e3nn | 9f5e336d5443d26a04d37162c10eb851beb0f5c5 | [
"MIT"
] | null | null | null | e3nn/nn/_fc.py | simonbatzner/e3nn | 9f5e336d5443d26a04d37162c10eb851beb0f5c5 | [
"MIT"
] | null | null | null | e3nn/nn/_fc.py | simonbatzner/e3nn | 9f5e336d5443d26a04d37162c10eb851beb0f5c5 | [
"MIT"
] | null | null | null | import torch
from e3nn.math import normalize2mom
from e3nn.util.jit import compile_mode
def _identity(x):
return x
# This is a static network that can be traced
@compile_mode('trace')
class FullyConnectedNet(torch.nn.Module):
r"""Fully-connected Neural Network
Parameters
----------
hs : list o... | 28.688889 | 107 | 0.524787 | import torch
from e3nn.math import normalize2mom
from e3nn.util.jit import compile_mode
def _identity(x):
return x
@compile_mode('trace')
class FullyConnectedNet(torch.nn.Module):
def __init__(self, hs, act=None, variance_in=1, variance_out=1, out_act=False):
super().__init__()
self.hs = t... | true | true |
1c3868f4caf7e0f6a4337cab535f29ba1bfe9bbd | 5,414 | py | Python | tests/utils_tests/test_crypto.py | rushuifang/django | b94764e178056a2118eff3f53f567207219e737d | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | 2 | 2020-01-17T17:35:21.000Z | 2020-01-17T17:35:27.000Z | tests/utils_tests/test_crypto.py | rushuifang/django | b94764e178056a2118eff3f53f567207219e737d | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | null | null | null | tests/utils_tests/test_crypto.py | rushuifang/django | b94764e178056a2118eff3f53f567207219e737d | [
"CNRI-Python-GPL-Compatible",
"BSD-3-Clause"
] | 2 | 2021-05-13T13:56:12.000Z | 2021-06-13T19:56:44.000Z | import hashlib
import unittest
from django.utils.crypto import constant_time_compare, pbkdf2, salted_hmac
class TestUtilsCryptoMisc(unittest.TestCase):
def test_constant_time_compare(self):
# It's hard to test for constant time, just test the result.
self.assertTrue(constant_time_compare(b'spam'... | 33.214724 | 106 | 0.476912 | import hashlib
import unittest
from django.utils.crypto import constant_time_compare, pbkdf2, salted_hmac
class TestUtilsCryptoMisc(unittest.TestCase):
def test_constant_time_compare(self):
self.assertTrue(constant_time_compare(b'spam', b'spam'))
self.assertFalse(constant_time_compare(b... | true | true |
1c386af021f88e573d27c874eebd300562f672b0 | 48,057 | py | Python | builder/frameworks/espidf.py | lkaino/platform-espressif32 | 7406e9efb90c4a5c11bb7e08fc4869a38cf42ea8 | [
"Apache-2.0"
] | 7 | 2021-08-13T09:14:35.000Z | 2022-01-31T20:24:41.000Z | builder/frameworks/espidf.py | lkaino/platform-espressif32 | 7406e9efb90c4a5c11bb7e08fc4869a38cf42ea8 | [
"Apache-2.0"
] | 4 | 2022-01-26T07:31:25.000Z | 2022-03-13T10:35:25.000Z | builder/frameworks/espidf.py | lkaino/platform-espressif32 | 7406e9efb90c4a5c11bb7e08fc4869a38cf42ea8 | [
"Apache-2.0"
] | 4 | 2021-11-18T07:10:30.000Z | 2022-03-24T13:44:10.000Z | # Copyright 2020-present PlatformIO <contact@platformio.org>
#
# 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 applicabl... | 32.781037 | 130 | 0.626652 |
import copy
import json
import subprocess
import sys
import os
import click
import semantic_version
from SCons.Script import (
ARGUMENTS,
COMMAND_LINE_TARGETS,
DefaultEnvironment,
)
from platformio import fs
from platformio.proc import exec_command
from platformio.util import get_systype
f... | true | true |
1c386b015eef9e74ea213d83168770d90c057f18 | 83,694 | py | Python | build/android/gyp/write_build_config.py | gengleilei/wee8 | a7bff18685ddfc7f16de825c9d3a12432d4138d5 | [
"BSD-3-Clause"
] | null | null | null | build/android/gyp/write_build_config.py | gengleilei/wee8 | a7bff18685ddfc7f16de825c9d3a12432d4138d5 | [
"BSD-3-Clause"
] | null | null | null | build/android/gyp/write_build_config.py | gengleilei/wee8 | a7bff18685ddfc7f16de825c9d3a12432d4138d5 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Writes a build_config file.
The build_config file for a target is a json file containing information about
how to build that targ... | 41.784324 | 80 | 0.722824 |
from __future__ import print_function
import collections
import itertools
import json
import optparse
import os
import sys
import xml.dom.minidom
from util import build_utils
from util import resource_utils
_ROOT_TYPES = ('android_apk', 'java_binary', 'java_annotation_processor',
'junit_binary... | true | true |
1c386d25c75cabcae6810281f5a96424983e664d | 2,465 | py | Python | src/mbed_tools/cli/main.py | jainvikas8/mbed-tools | 55435a4c5a7184038e1fde8e7b1c4194fa75ab8a | [
"Apache-2.0"
] | null | null | null | src/mbed_tools/cli/main.py | jainvikas8/mbed-tools | 55435a4c5a7184038e1fde8e7b1c4194fa75ab8a | [
"Apache-2.0"
] | null | null | null | src/mbed_tools/cli/main.py | jainvikas8/mbed-tools | 55435a4c5a7184038e1fde8e7b1c4194fa75ab8a | [
"Apache-2.0"
] | null | null | null | #
# Copyright (C) 2020 Arm Mbed. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
"""Main cli entry point."""
import logging
from pkg_resources import get_distribution
from typing import Union, Any
import click
from mbed_tools.lib.logging import set_log_level, MbedToolsHandler
from mbed_tools.cli.configu... | 31.602564 | 117 | 0.726166 |
import logging
from pkg_resources import get_distribution
from typing import Union, Any
import click
from mbed_tools.lib.logging import set_log_level, MbedToolsHandler
from mbed_tools.cli.configure import configure
from mbed_tools.cli.list_connected_devices import list_connected_devices
from mbed_tools.cli.env_c... | true | true |
1c386e6e932f1a3a526952a0150d184afbe6588e | 3,630 | py | Python | tests/test_utils.py | pynista/telegrambotapiwrapper | 4310882a1a7db94f5256b010ff8a3103b405dc0d | [
"MIT"
] | 1 | 2021-05-10T06:49:52.000Z | 2021-05-10T06:49:52.000Z | tests/test_utils.py | pynista/telegrambotapiwrapper | 4310882a1a7db94f5256b010ff8a3103b405dc0d | [
"MIT"
] | null | null | null | tests/test_utils.py | pynista/telegrambotapiwrapper | 4310882a1a7db94f5256b010ff8a3103b405dc0d | [
"MIT"
] | null | null | null | import unittest
from telegrambotapiwrapper.request import replace__from___to__from
from telegrambotapiwrapper.response import is_str_int_float_bool
from telegrambotapiwrapper.response import replace__from__by__from_
def is_ends_with_underscore(value: str):
"""Does value end with underscore."""
if value == ""... | 33.611111 | 72 | 0.50854 | import unittest
from telegrambotapiwrapper.request import replace__from___to__from
from telegrambotapiwrapper.response import is_str_int_float_bool
from telegrambotapiwrapper.response import replace__from__by__from_
def is_ends_with_underscore(value: str):
if value == "":
return False
else:
r... | true | true |
1c386ee9726c7ae77bf8398030c2377cee80db26 | 1,443 | py | Python | smtools/extract_tarfile.py | hrsma2i/smtools | d52394b17fa2870dd4a48f7d14db9bbbbb25b9f2 | [
"MIT"
] | null | null | null | smtools/extract_tarfile.py | hrsma2i/smtools | d52394b17fa2870dd4a48f7d14db9bbbbb25b9f2 | [
"MIT"
] | null | null | null | smtools/extract_tarfile.py | hrsma2i/smtools | d52394b17fa2870dd4a48f7d14db9bbbbb25b9f2 | [
"MIT"
] | null | null | null | import os
from glob import glob
import tarfile
import argparse
def extract_tarfile(inp_dir, remove=True):
try:
tar_file = sorted(glob(os.path.join(inp_dir, '*.tar.gz')))[0]
except IndexError as e:
print(e)
print('There is no tar file in {}'.format(inp_dir))
tar_file = concat(in... | 25.767857 | 70 | 0.605683 | import os
from glob import glob
import tarfile
import argparse
def extract_tarfile(inp_dir, remove=True):
try:
tar_file = sorted(glob(os.path.join(inp_dir, '*.tar.gz')))[0]
except IndexError as e:
print(e)
print('There is no tar file in {}'.format(inp_dir))
tar_file = concat(in... | true | true |
1c386ffc62e6cdddb2329450ddc928e7cd854dbb | 1,124 | py | Python | helper/tile.py | LHGames-2018/DCI4espaces | 0b5dfed8b99d07f3f13ef4b9861494155922bc8b | [
"MIT"
] | null | null | null | helper/tile.py | LHGames-2018/DCI4espaces | 0b5dfed8b99d07f3f13ef4b9861494155922bc8b | [
"MIT"
] | null | null | null | helper/tile.py | LHGames-2018/DCI4espaces | 0b5dfed8b99d07f3f13ef4b9861494155922bc8b | [
"MIT"
] | null | null | null | from helper.structs import Point
from enum import Enum
class Tile:
def __init__(self, tile_content, x, y):
self.TileContent = tile_content
self.Position = Point(x, y)
pass
def __repr__(self):
return "(%d, %d, %s)" % (self.Position.x, self.Position.y, TileContent.getName(se... | 24.434783 | 105 | 0.579181 | from helper.structs import Point
from enum import Enum
class Tile:
def __init__(self, tile_content, x, y):
self.TileContent = tile_content
self.Position = Point(x, y)
pass
def __repr__(self):
return "(%d, %d, %s)" % (self.Position.x, self.Position.y, TileContent.getName(se... | true | true |
1c3871446e687861dd4a4be80b24d839b6dde3e5 | 384 | py | Python | src/RQ4_exp2/test.py | ai-se/bellwether-configuration | 921ec881b17f29ed73bdb5b4510c2a30a6d23ef4 | [
"Unlicense"
] | null | null | null | src/RQ4_exp2/test.py | ai-se/bellwether-configuration | 921ec881b17f29ed73bdb5b4510c2a30a6d23ef4 | [
"Unlicense"
] | 1 | 2018-05-09T15:05:01.000Z | 2018-05-09T15:05:01.000Z | src/RQ4_exp2/test.py | ai-se/BEETLE__FSE_2018 | 921ec881b17f29ed73bdb5b4510c2a30a6d23ef4 | [
"Unlicense"
] | 1 | 2020-09-08T18:15:38.000Z | 2020-09-08T18:15:38.000Z | import pickle
import numpy as np
pickle_file = 'experiment_pickle_4_0.1_4.p'
content = pickle.load(open(pickle_file))
familys = content.keys()
for family in familys:
collected = []
measurements = content[family]
for measurement in measurements:
collected.append(np.mean(measurement[1]))
print... | 24 | 72 | 0.71875 | import pickle
import numpy as np
pickle_file = 'experiment_pickle_4_0.1_4.p'
content = pickle.load(open(pickle_file))
familys = content.keys()
for family in familys:
collected = []
measurements = content[family]
for measurement in measurements:
collected.append(np.mean(measurement[1]))
print... | false | true |
1c38719c8678e05b32268f4953f347590b317c36 | 20,919 | py | Python | core/domain/blog_services.py | WebFlakyTest/oppia | 520e35490eae8171beb035fbafc2948983abec75 | [
"Apache-2.0"
] | 1 | 2021-08-17T20:33:12.000Z | 2021-08-17T20:33:12.000Z | core/domain/blog_services.py | WebFlakyTest/oppia | 520e35490eae8171beb035fbafc2948983abec75 | [
"Apache-2.0"
] | null | null | null | core/domain/blog_services.py | WebFlakyTest/oppia | 520e35490eae8171beb035fbafc2948983abec75 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2021 The Oppia Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 33.849515 | 117 | 0.713849 |
from __future__ import absolute_import
from __future__ import unicode_literals
import datetime
from constants import constants
from core.domain import blog_domain
from core.domain import html_cleaner
from core.domain import role_services
from core.platform import models
import feconf
import pytho... | true | true |
1c3871e35a981db48c53da28b1aaaae1d572059f | 298 | py | Python | external/odds/__init__.py | dmartin35/pronosfoot | 861ae091fbb65684d00ae8c5ff3726eeaa306ed7 | [
"MIT"
] | 4 | 2017-07-09T21:18:18.000Z | 2022-02-16T13:05:10.000Z | external/odds/__init__.py | dmartin35/pronosfoot | 861ae091fbb65684d00ae8c5ff3726eeaa306ed7 | [
"MIT"
] | 2 | 2020-01-16T14:21:42.000Z | 2021-03-02T18:34:15.000Z | external/odds/__init__.py | dmartin35/pronosfoot | 861ae091fbb65684d00ae8c5ff3726eeaa306ed7 | [
"MIT"
] | null | null | null | from external.odds.betclic.api import get_odds
#ย FDJ parsing is broken - their UI has been refactored with JS framework &
# protected async JSON API usage (requires HEADERS) and more complex to isolate & group match odds
# hence move to another betting website - which is still full html rendered
| 49.666667 | 98 | 0.788591 | from external.odds.betclic.api import get_odds
| true | true |
1c3872127e305c1d6af42c66f910cbac6696d91c | 72,366 | py | Python | Python-Client/project/myService.py | d0d0d0/Persona | cbea1dfaae1d44b286d9b350ccba36bc7fca4a5a | [
"MIT"
] | null | null | null | Python-Client/project/myService.py | d0d0d0/Persona | cbea1dfaae1d44b286d9b350ccba36bc7fca4a5a | [
"MIT"
] | null | null | null | Python-Client/project/myService.py | d0d0d0/Persona | cbea1dfaae1d44b286d9b350ccba36bc7fca4a5a | [
"MIT"
] | null | null | null | #
# Autogenerated by Thrift Compiler (0.9.1)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
from ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport import TTransport
... | 29.890954 | 188 | 0.657118 |
from thrift.Thrift import TType, TMessageType, TException, TApplicationException
from ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport import TTransport
from thrift.protocol import TBinaryProtocol, TProtocol
try:
from thrift.protocol import fastbinary
except:
fastbinary = None
cl... | true | true |
1c387240f490f241b3ff3d21da0f3d7bafabda5d | 1,659 | py | Python | day15/day15.py | protocol114/AdventOfCode | eec7eed81cf9f096e2dce9a9a39f5e9890a3deaf | [
"MIT"
] | null | null | null | day15/day15.py | protocol114/AdventOfCode | eec7eed81cf9f096e2dce9a9a39f5e9890a3deaf | [
"MIT"
] | null | null | null | day15/day15.py | protocol114/AdventOfCode | eec7eed81cf9f096e2dce9a9a39f5e9890a3deaf | [
"MIT"
] | null | null | null | f = open("input.txt", "r")
ingredients = []
for line in f:
temp = []
_, _, capacity, _, durability, _, flavor, _, texture, _, calories = line.split()
temp.append(int(capacity.strip(',')))
temp.append(int(durability.strip(',')))
temp.append(int(flavor.strip(',')))
temp.append(int(texture.strip(... | 38.581395 | 124 | 0.537673 | f = open("input.txt", "r")
ingredients = []
for line in f:
temp = []
_, _, capacity, _, durability, _, flavor, _, texture, _, calories = line.split()
temp.append(int(capacity.strip(',')))
temp.append(int(durability.strip(',')))
temp.append(int(flavor.strip(',')))
temp.append(int(texture.strip(... | true | true |
1c38728a1651dbc1726420ff21bcd15bdfb63d88 | 1,070 | py | Python | images/models.py | lightguy875/Django_social_media | 11d9faf4dde4b1a3b74ad71c0d9f53d3e630c103 | [
"Apache-2.0"
] | 1 | 2020-08-10T13:03:13.000Z | 2020-08-10T13:03:13.000Z | images/models.py | lightguy875/Django_social_media | 11d9faf4dde4b1a3b74ad71c0d9f53d3e630c103 | [
"Apache-2.0"
] | 7 | 2021-06-04T23:50:18.000Z | 2022-03-12T00:45:48.000Z | images/models.py | lightguy875/Django_social_media | 11d9faf4dde4b1a3b74ad71c0d9f53d3e630c103 | [
"Apache-2.0"
] | null | null | null | from django.db import models
from django.conf import settings
from django.utils.text import slugify
from django.urls import reverse
# Create your models here.
class Image(models.Model):
users_like = models.ManyToManyField(settings.AUTH_USER_MODEL,related_name='images_liked',blank=True)
user = models.ForeignKey(... | 39.62963 | 110 | 0.723364 | from django.db import models
from django.conf import settings
from django.utils.text import slugify
from django.urls import reverse
class Image(models.Model):
users_like = models.ManyToManyField(settings.AUTH_USER_MODEL,related_name='images_liked',blank=True)
user = models.ForeignKey(settings.AUTH_USER_MODEL, ... | true | true |
1c38751248735d1b99301b3fdab6685abfcc16e0 | 15,654 | py | Python | experimental/language_structure/psl/psl_model_multiwoz_test.py | jaeikjeon9919/uncertainty-baselines | 15aad70bb585452d84c0afa74208338f5db5f70e | [
"Apache-2.0"
] | null | null | null | experimental/language_structure/psl/psl_model_multiwoz_test.py | jaeikjeon9919/uncertainty-baselines | 15aad70bb585452d84c0afa74208338f5db5f70e | [
"Apache-2.0"
] | null | null | null | experimental/language_structure/psl/psl_model_multiwoz_test.py | jaeikjeon9919/uncertainty-baselines | 15aad70bb585452d84c0afa74208338f5db5f70e | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Uncertainty Baselines Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 41.855615 | 110 | 0.654401 |
import tensorflow as tf
import constrained_evaluation as eval_model
import data
import psl_model_multiwoz as model
import psl_model_multiwoz_test_util as test_util
class PslRulesTest(tf.test.TestCase):
def setUp(self):
super(PslRulesTest, self).setUp()
self.config = test_util.TEST_... | true | true |
1c3875240b88f854a299beba1c25846f720cfbcb | 6,041 | py | Python | Duelist_Algorithm.py | ebruyasar11/Duelist-Algorithm | d740e0a26a33a230434441b5bcf67b1e7a7c5fd2 | [
"MIT"
] | 1 | 2021-06-02T15:34:00.000Z | 2021-06-02T15:34:00.000Z | Duelist_Algorithm.py | ebruyasar11/Duelist-Algorithm | d740e0a26a33a230434441b5bcf67b1e7a7c5fd2 | [
"MIT"
] | null | null | null | Duelist_Algorithm.py | ebruyasar11/Duelist-Algorithm | d740e0a26a33a230434441b5bcf67b1e7a7c5fd2 | [
"MIT"
] | null | null | null | import numpy as np
import random
import time
import matplotlib.pyplot as mp
class Duelist_Algorithm():
def __init__(self,f,x,altdeger,ustdeger,pop=200,sans=0.01,mutasyon=0.1,ogren=0.8,iterasyon=500,nc=5,karistir=False):
#Sฤฑnฤฑf deฤiลkenlerinin tanฤฑmlamalarฤฑ
self.f = f
self.x = x
self.altdeger = altdeger
self... | 33.375691 | 121 | 0.692766 | import numpy as np
import random
import time
import matplotlib.pyplot as mp
class Duelist_Algorithm():
def __init__(self,f,x,altdeger,ustdeger,pop=200,sans=0.01,mutasyon=0.1,ogren=0.8,iterasyon=500,nc=5,karistir=False):
self.f = f
self.x = x
self.altdeger = altdeger
self.ustdeger = ustdeger
self.populasy... | true | true |
1c3875eec768725e04f838322599ca3ca2fc43f3 | 8,450 | py | Python | tools/test_crowdhuman.py | Ernstsen/Pedestron | 0c5aa35881561bcd0acf5de8939472efd6409256 | [
"Apache-2.0"
] | 594 | 2020-03-20T11:52:59.000Z | 2022-03-30T11:58:55.000Z | tools/test_crowdhuman.py | Ernstsen/Pedestron | 0c5aa35881561bcd0acf5de8939472efd6409256 | [
"Apache-2.0"
] | 131 | 2020-03-25T09:48:04.000Z | 2022-03-30T17:54:38.000Z | tools/test_crowdhuman.py | Ernstsen/Pedestron | 0c5aa35881561bcd0acf5de8939472efd6409256 | [
"Apache-2.0"
] | 128 | 2020-03-20T14:22:11.000Z | 2022-03-22T09:41:39.000Z | import argparse
import os
import os.path as osp
import shutil
import tempfile
import json
import time
import mmcv
import torch
import torch.distributed as dist
from mmcv.runner import load_checkpoint, get_dist_info
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmdet.apis import init_dist
fr... | 37.22467 | 142 | 0.60213 | import argparse
import os
import os.path as osp
import shutil
import tempfile
import json
import time
import mmcv
import torch
import torch.distributed as dist
from mmcv.runner import load_checkpoint, get_dist_info
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmdet.apis import init_dist
fr... | true | true |
1c38768a0bf2c6600f6129ebdcec86e801059f7a | 262 | py | Python | setup.py | MarcMarabou/02476_ml_ops_project | 0a46bca731271287f6ba00270e8b18e76323fcae | [
"FTL"
] | null | null | null | setup.py | MarcMarabou/02476_ml_ops_project | 0a46bca731271287f6ba00270e8b18e76323fcae | [
"FTL"
] | 1 | 2022-01-20T09:16:37.000Z | 2022-01-20T09:16:37.000Z | setup.py | MarcMarabou/02476_ml_ops_project | 0a46bca731271287f6ba00270e8b18e76323fcae | [
"FTL"
] | null | null | null | from setuptools import find_packages, setup
setup(
name="src",
packages=find_packages(),
version="0.1.0",
description="A short description of the project.",
author="Your name (or your organization/company/team)",
license="",
)
| 23.818182 | 60 | 0.652672 | from setuptools import find_packages, setup
setup(
name="src",
packages=find_packages(),
version="0.1.0",
description="A short description of the project.",
author="Your name (or your organization/company/team)",
license="",
)
| true | true |
1c387750188c0c363aa55562e890fe6e14eb7296 | 7,878 | py | Python | api/utils.py | josuelopes512/mastercode_films_api | ab8ea5ce55a1eeee90a1ec3c5447434ca37d83bb | [
"Apache-2.0"
] | null | null | null | api/utils.py | josuelopes512/mastercode_films_api | ab8ea5ce55a1eeee90a1ec3c5447434ca37d83bb | [
"Apache-2.0"
] | null | null | null | api/utils.py | josuelopes512/mastercode_films_api | ab8ea5ce55a1eeee90a1ec3c5447434ca37d83bb | [
"Apache-2.0"
] | null | null | null | from django.utils.text import slugify
from threading import Thread
from random import randint
from pathlib import Path
import environ, base64, requests as req
BASE_DIR = Path(__file__).resolve().parent.parent
env = environ.Env()
environ.Env.read_env(BASE_DIR / '.env')
API_KEY= env('API_KEY')
URL_DB = 'https://api... | 35.327354 | 123 | 0.627444 | from django.utils.text import slugify
from threading import Thread
from random import randint
from pathlib import Path
import environ, base64, requests as req
BASE_DIR = Path(__file__).resolve().parent.parent
env = environ.Env()
environ.Env.read_env(BASE_DIR / '.env')
API_KEY= env('API_KEY')
URL_DB = 'https://api... | true | true |
1c387750eed6826249cb679584ede439dce7288e | 1,592 | py | Python | likeapp/utils.py | verhovensky/likeapprestapi | 4a87690a37568041d5498c8b94259704af080af1 | [
"MIT"
] | null | null | null | likeapp/utils.py | verhovensky/likeapprestapi | 4a87690a37568041d5498c8b94259704af080af1 | [
"MIT"
] | null | null | null | likeapp/utils.py | verhovensky/likeapprestapi | 4a87690a37568041d5498c8b94259704af080af1 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from .models import Like
# import datetime
# Bishkek Time zone
# import pytz
# timezone = pytz.timezone("Asia/Bishkek")
User = get_user_model()
def add_like(obj, user):
"""Like `obj`.
"""
obj_type = ... | 26.533333 | 89 | 0.612437 | from django.contrib.auth import get_user_model
from django.contrib.contenttypes.models import ContentType
from .models import Like
User = get_user_model()
def add_like(obj, user):
obj_type = ContentType.objects.get_for_model(obj)
like, is_created = Like.objects.get_or_create(
content_type=obj_typ... | true | true |
1c387a98241666d68205340ff5d7afecd591a0f2 | 576 | py | Python | unit 9/exc. 9.2.3.py | AviKalPython/self.py | 44f8de33797a9ea28bbd1e01006920ba7c818b97 | [
"MIT"
] | null | null | null | unit 9/exc. 9.2.3.py | AviKalPython/self.py | 44f8de33797a9ea28bbd1e01006920ba7c818b97 | [
"MIT"
] | null | null | null | unit 9/exc. 9.2.3.py | AviKalPython/self.py | 44f8de33797a9ea28bbd1e01006920ba7c818b97 | [
"MIT"
] | null | null | null | # exc. 9.2.3
def who_is_missing(file_name):
find_the_num = open(file_name, "r")
numbers = find_the_num.read()
number_list = [int(x) for x in numbers.split(",")]
number_list.sort()
#print(number_list)
i = number_list[0]
for num in number_list:
if i not in number_list:
found = i
i += 1
find_th... | 23.04 | 58 | 0.663194 |
def who_is_missing(file_name):
find_the_num = open(file_name, "r")
numbers = find_the_num.read()
number_list = [int(x) for x in numbers.split(",")]
number_list.sort()
i = number_list[0]
for num in number_list:
if i not in number_list:
found = i
i += 1
find_the_num.close()
new_text = open... | true | true |
1c387ab39db476e5a6f23a51533f27992deec27c | 749 | py | Python | daoagent/log.py | Symantec/dao-agent | 601ac49d2512b539c58a7026b1f8fb76645ba9a6 | [
"Apache-2.0"
] | null | null | null | daoagent/log.py | Symantec/dao-agent | 601ac49d2512b539c58a7026b1f8fb76645ba9a6 | [
"Apache-2.0"
] | null | null | null | daoagent/log.py | Symantec/dao-agent | 601ac49d2512b539c58a7026b1f8fb76645ba9a6 | [
"Apache-2.0"
] | 2 | 2019-09-18T22:51:31.000Z | 2021-02-26T10:19:32.000Z | # Copyright 2016 Symantec, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 35.666667 | 75 | 0.757009 |
import logging
logging.basicConfig(filename='/tmp/validation.log', level=logging.DEBUG)
def get_logger(*args, **kwargs):
return logging.getLogger(*args, **kwargs) | true | true |
1c387b3d34a16ac37f56f4e5e23e7b8e09236e94 | 11,755 | py | Python | src/plugins/NextStep/NextStep/__init__.py | rpicard92/petri-net-webgme-app | 3ab1808cd4f1f5bb516be66b39daf7a74b8660c5 | [
"MIT"
] | 1 | 2020-09-09T01:23:04.000Z | 2020-09-09T01:23:04.000Z | src/plugins/NextStep/NextStep/__init__.py | rpicard92/petri-net-webgme-app | 3ab1808cd4f1f5bb516be66b39daf7a74b8660c5 | [
"MIT"
] | null | null | null | src/plugins/NextStep/NextStep/__init__.py | rpicard92/petri-net-webgme-app | 3ab1808cd4f1f5bb516be66b39daf7a74b8660c5 | [
"MIT"
] | null | null | null | """
This is where the implementation of the plugin code goes.
The NextStep-class is imported from both run_plugin.py and run_debug.py
"""
import sys
import logging
import random
from webgme_bindings import PluginBase
# Setup a logger
logger = logging.getLogger('NextStep')
logger.setLevel(logging.INFO)
hand... | 47.979592 | 335 | 0.527946 | import sys
import logging
import random
from webgme_bindings import PluginBase
logger = logging.getLogger('NextStep')
logger.setLevel(logging.INFO)
handler = logging.StreamHandler(sys.stdout)
handler.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')... | true | true |
1c387b757cb81b71f694b90c41926c678de27943 | 1,656 | py | Python | import.py | hornetmadness/pfsence-voucher-printer | 5dd2a36f7f44480875131ca1724072d4a4444d4a | [
"MIT"
] | 2 | 2020-07-04T23:44:55.000Z | 2021-06-03T20:05:12.000Z | import.py | hornetmadness/pfsence-voucher-printer | 5dd2a36f7f44480875131ca1724072d4a4444d4a | [
"MIT"
] | null | null | null | import.py | hornetmadness/pfsence-voucher-printer | 5dd2a36f7f44480875131ca1724072d4a4444d4a | [
"MIT"
] | null | null | null | import config
import logging
import argparse
import sys
import csv
from db import Vouchers, connect_db
from sqlalchemy.orm import sessionmaker
db=connect_db() #establish connection
Session = sessionmaker(bind=db)
session = Session()
def importCSV(file, time):
bulkInsert=[]
keep={}
csv.register_dialect('myDialec... | 26.709677 | 95 | 0.694444 | import config
import logging
import argparse
import sys
import csv
from db import Vouchers, connect_db
from sqlalchemy.orm import sessionmaker
db=connect_db()
Session = sessionmaker(bind=db)
session = Session()
def importCSV(file, time):
bulkInsert=[]
keep={}
csv.register_dialect('myDialect',
skipinitialsp... | true | true |
1c387b91c5689545d6a13dcbc60bb9934ed15e83 | 890 | py | Python | model.py | rahulkumar1112/Audio-Classification | 589fccae5eeb9feaf04073b1243c0004759e3255 | [
"MIT"
] | 1 | 2019-06-21T14:43:48.000Z | 2019-06-21T14:43:48.000Z | Example Audio and Deep Learning/model.py | felipegetulio/Artificial-Neural-Networks---Projects | 04d16703ccc2fb10cc1ba92850364ea49b9a5bfa | [
"MIT"
] | null | null | null | Example Audio and Deep Learning/model.py | felipegetulio/Artificial-Neural-Networks---Projects | 04d16703ccc2fb10cc1ba92850364ea49b9a5bfa | [
"MIT"
] | null | null | null | import os
from scipy.io import wavfile
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from keras.layers import Conv2D, MaxPool2D, Flatten, LSTM
from keras.layers import Dropout, Dense, TimeDistributed
from keras.models import Sequential
from keras.utils import to_categorical
from sklearn.utils.c... | 29.666667 | 62 | 0.75618 | import os
from scipy.io import wavfile
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from keras.layers import Conv2D, MaxPool2D, Flatten, LSTM
from keras.layers import Dropout, Dense, TimeDistributed
from keras.models import Sequential
from keras.utils import to_categorical
from sklearn.utils.c... | true | true |
1c387d96bc457f3a14396ce1eafbcba911ab775e | 2,317 | py | Python | chapter9-็ฅ็ป็ฝ็ปๅ่ฏ(CharRNN)/utils.py | 1364354238/PYTORCH_LEARNING | d7ab877512ab41c80b37ab68bd1a42193916f31c | [
"MIT"
] | 137 | 2018-11-13T06:35:49.000Z | 2022-03-07T09:21:31.000Z | chapter9_CharRNN/utils.py | pythonProjectLearn/PytorchLearning | 835ce23656e5816f5fbc9018f85f8613bff8f24c | [
"MIT"
] | null | null | null | chapter9_CharRNN/utils.py | pythonProjectLearn/PytorchLearning | 835ce23656e5816f5fbc9018f85f8613bff8f24c | [
"MIT"
] | 54 | 2018-11-13T09:38:37.000Z | 2022-03-25T03:46:25.000Z | #coding:utf8
import visdom
import torch as t
import time
import torchvision as tv
import numpy as np
class Visualizer():
'''
ๅฐ่ฃ
ไบvisdom็ๅบๆฌๆไฝ๏ผไฝๆฏไฝ ไป็ถๅฏไปฅ้่ฟ`self.vis.function`
่ฐ็จๅ็็visdomๆฅๅฃ
'''
def __init__(self, env='default', **kwargs):
import visdom
self.vis = visdom.Visdom(env=env, *... | 25.184783 | 63 | 0.475615 |
import visdom
import torch as t
import time
import torchvision as tv
import numpy as np
class Visualizer():
def __init__(self, env='default', **kwargs):
import visdom
self.vis = visdom.Visdom(env=env, **kwargs)
self.index = {}
self.log_text = ''
de... | true | true |
1c387f54b5725f7f26862a550a12f20335f91984 | 2,542 | py | Python | Generate battery report/Generate battery report.py | xinxin2021/my-projects | e2a95dff404c131c9795deea04829514a770e94d | [
"MIT"
] | null | null | null | Generate battery report/Generate battery report.py | xinxin2021/my-projects | e2a95dff404c131c9795deea04829514a770e94d | [
"MIT"
] | null | null | null | Generate battery report/Generate battery report.py | xinxin2021/my-projects | e2a95dff404c131c9795deea04829514a770e94d | [
"MIT"
] | null | null | null | # coding=utf-8
import os
import wx
def isi(path,name):
file = os.listdir(path)
if name in file:
return True
else:
return False
def isib(l,dx):
for i in range(len(l)):
if l[i] in dx:
return False
return True
class MyFrame(wx.Frame):
def __init_... | 39.107692 | 192 | 0.560582 |
import os
import wx
def isi(path,name):
file = os.listdir(path)
if name in file:
return True
else:
return False
def isib(l,dx):
for i in range(len(l)):
if l[i] in dx:
return False
return True
class MyFrame(wx.Frame):
def __init__(self):
... | true | true |
1c387f6af54f5ffd813b646aa95618c3133661bb | 13,234 | py | Python | mc/bookmarks/BookmarksTools.py | zy-sunshine/falkon-pyqt5 | bc2b60aa21c9b136439bd57a11f391d68c736f99 | [
"MIT"
] | 1 | 2021-04-29T05:36:44.000Z | 2021-04-29T05:36:44.000Z | mc/bookmarks/BookmarksTools.py | zy-sunshine/falkon-pyqt5 | bc2b60aa21c9b136439bd57a11f391d68c736f99 | [
"MIT"
] | 1 | 2020-03-28T17:43:18.000Z | 2020-03-28T17:43:18.000Z | mc/bookmarks/BookmarksTools.py | zy-sunshine/falkon-pyqt5 | bc2b60aa21c9b136439bd57a11f391d68c736f99 | [
"MIT"
] | 1 | 2021-01-15T20:09:24.000Z | 2021-01-15T20:09:24.000Z | from PyQt5.QtWidgets import QBoxLayout
from PyQt5.QtWidgets import QDialog
from PyQt5.QtWidgets import QDialogButtonBox
from PyQt5.QtWidgets import QLabel
from PyQt5.QtWidgets import QLineEdit
from PyQt5.QtWidgets import QMenu
from PyQt5.QtWidgets import QPushButton
from PyQt5.Qt import pyqtSignal
from PyQt5.Qt import ... | 29.540179 | 108 | 0.610473 | from PyQt5.QtWidgets import QBoxLayout
from PyQt5.QtWidgets import QDialog
from PyQt5.QtWidgets import QDialogButtonBox
from PyQt5.QtWidgets import QLabel
from PyQt5.QtWidgets import QLineEdit
from PyQt5.QtWidgets import QMenu
from PyQt5.QtWidgets import QPushButton
from PyQt5.Qt import pyqtSignal
from PyQt5.Qt import ... | true | true |
1c387f79fe2cfc8681e3cba4788cfe8bebea297d | 13,532 | py | Python | funfact/lang/interpreter/test_type_deduction.py | campsd/FunFact | 477bcf06794f09608240eba992823fae6fde8dad | [
"BSD-3-Clause-LBNL"
] | 37 | 2021-09-22T17:28:35.000Z | 2022-03-07T00:11:17.000Z | funfact/lang/interpreter/test_type_deduction.py | campsd/FunFact | 477bcf06794f09608240eba992823fae6fde8dad | [
"BSD-3-Clause-LBNL"
] | 125 | 2021-11-04T16:50:24.000Z | 2022-03-28T17:54:13.000Z | funfact/lang/interpreter/test_type_deduction.py | campsd/FunFact | 477bcf06794f09608240eba992823fae6fde8dad | [
"BSD-3-Clause-LBNL"
] | 2 | 2021-12-13T07:28:42.000Z | 2021-12-13T07:51:41.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest # noqa: F401
from unittest.mock import MagicMock as M
from .._ast import Primitives as P
from ._type_deduction import TypeDeducer, _add_attr
@pytest.fixture
def intr():
return TypeDeducer()
def as_payload(live_indices, keep_indices, kron_indices, shap... | 25.726236 | 79 | 0.381392 |
import pytest
from unittest.mock import MagicMock as M
from .._ast import Primitives as P
from ._type_deduction import TypeDeducer, _add_attr
@pytest.fixture
def intr():
return TypeDeducer()
def as_payload(live_indices, keep_indices, kron_indices, shape):
return dict(
live_indices=live_indices,
... | true | true |
1c387fd94b6bfb20418bc9254eb731521eb4b65f | 10,660 | py | Python | vision/databunch.py | srujandeshpande/DashAI | 85581abc17ff3a8bf03a1e8b6aae7a06e5ab0dc8 | [
"Apache-2.0"
] | 7 | 2020-08-26T09:36:54.000Z | 2021-12-21T15:46:32.000Z | vision/databunch.py | JoeRishon/DashAI | 68d1b01088a65e2062d96b47b083fa8f5c82b27c | [
"Apache-2.0"
] | 16 | 2020-08-25T18:44:45.000Z | 2022-03-25T19:12:36.000Z | vision/databunch.py | JoeRishon/DashAI | 68d1b01088a65e2062d96b47b083fa8f5c82b27c | [
"Apache-2.0"
] | 10 | 2020-09-30T19:27:17.000Z | 2021-04-04T14:50:31.000Z | from fastai.vision import *
from fastai.vision.gan import GANItemList
from core.databunch import DashDatabunch
from pathlib import Path
class DashVisionDatabunch:
def create_vision_databunch(response):
path = Path('./')
src = DashVisionDatabunch.get_itemlist(response)
src = DashDatabunch.split_databunch(resp... | 47.802691 | 155 | 0.679081 | from fastai.vision import *
from fastai.vision.gan import GANItemList
from core.databunch import DashDatabunch
from pathlib import Path
class DashVisionDatabunch:
def create_vision_databunch(response):
path = Path('./')
src = DashVisionDatabunch.get_itemlist(response)
src = DashDatabunch.split_databunch(resp... | true | true |
1c387ffffca64bd1c952d2445da2b5c5569fbcfc | 2,406 | py | Python | data/p4VQE/R1/benchmark/startQiskit61.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R1/benchmark/startQiskit61.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p4VQE/R1/benchmark/startQiskit61.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=3
# total number=10
import numpy as np
from qiskit import QuantumCircuit, execute, Aer, QuantumRegister, ClassicalRegister, transpile, BasicAer, IBMQ
import networkx as nx
from qiskit.visualization import plot_histogram
from typing import *
from pprint import pprint
from math import log2
from collectio... | 27.033708 | 118 | 0.632585 |
import numpy as np
from qiskit import QuantumCircuit, execute, Aer, QuantumRegister, ClassicalRegister, transpile, BasicAer, IBMQ
import networkx as nx
from qiskit.visualization import plot_histogram
from typing import *
from pprint import pprint
from math import log2
from collections import Counter
from qiskit.tes... | true | true |
1c388050475bd1bdb984e23752da29323d62e673 | 57,210 | py | Python | test/engine/test_pool.py | hbusul/sqlalchemy | cd58836d3e19489d5203c02f7cc5f2f2d7c82a20 | [
"MIT"
] | null | null | null | test/engine/test_pool.py | hbusul/sqlalchemy | cd58836d3e19489d5203c02f7cc5f2f2d7c82a20 | [
"MIT"
] | null | null | null | test/engine/test_pool.py | hbusul/sqlalchemy | cd58836d3e19489d5203c02f7cc5f2f2d7c82a20 | [
"MIT"
] | null | null | null | import collections
import random
import threading
import time
import weakref
import sqlalchemy as tsa
from sqlalchemy import event
from sqlalchemy import pool
from sqlalchemy import select
from sqlalchemy import testing
from sqlalchemy.engine import default
from sqlalchemy.pool.impl import _AsyncConnDialect
from sqlal... | 28.251852 | 79 | 0.571474 | import collections
import random
import threading
import time
import weakref
import sqlalchemy as tsa
from sqlalchemy import event
from sqlalchemy import pool
from sqlalchemy import select
from sqlalchemy import testing
from sqlalchemy.engine import default
from sqlalchemy.pool.impl import _AsyncConnDialect
from sqlal... | true | true |
1c38810df10e266c92d99bb8419da6c328ffd0d1 | 948 | py | Python | examples/swat-s1/run.py | pgaulon/minicps | f3b873e00f477d8b5c36fcb7df3d1cfe27063822 | [
"MIT"
] | 119 | 2015-10-16T22:47:39.000Z | 2022-03-31T07:18:00.000Z | examples/swat-s1/run.py | DolphinWilly/minicps | 7400f85e47d09901bb702966abf557244cf11ce4 | [
"MIT"
] | 20 | 2016-09-30T06:18:39.000Z | 2022-03-11T10:51:33.000Z | examples/swat-s1/run.py | DolphinWilly/minicps | 7400f85e47d09901bb702966abf557244cf11ce4 | [
"MIT"
] | 65 | 2016-07-27T03:50:39.000Z | 2022-03-05T14:49:17.000Z | """
swat-s1 run.py
"""
from mininet.net import Mininet
from mininet.cli import CLI
from minicps.mcps import MiniCPS
from topo import SwatTopo
import sys
class SwatS1CPS(MiniCPS):
"""Main container used to run the simulation."""
def __init__(self, name, net):
self.name = name
self.net = n... | 18.96 | 57 | 0.580169 |
from mininet.net import Mininet
from mininet.cli import CLI
from minicps.mcps import MiniCPS
from topo import SwatTopo
import sys
class SwatS1CPS(MiniCPS):
def __init__(self, name, net):
self.name = name
self.net = net
net.start()
net.pingAll()
plc1, plc2,... | true | true |
1c3881223c1ee0b542cb5cb12e20136c58a24464 | 6,582 | py | Python | pyOCD/target/target_MK22FN1M0Axxx12.py | orenc17/pyOCD | b5c9bc62b68323129aa258e128a8fc68aaa2527f | [
"Apache-2.0"
] | 1 | 2018-10-30T12:47:34.000Z | 2018-10-30T12:47:34.000Z | pyOCD/target/target_MK22FN1M0Axxx12.py | orenc17/pyOCD | b5c9bc62b68323129aa258e128a8fc68aaa2527f | [
"Apache-2.0"
] | null | null | null | pyOCD/target/target_MK22FN1M0Axxx12.py | orenc17/pyOCD | b5c9bc62b68323129aa258e128a8fc68aaa2527f | [
"Apache-2.0"
] | 1 | 2021-02-04T10:05:57.000Z | 2021-02-04T10:05:57.000Z | """
mbed CMSIS-DAP debugger
Copyright (c) 2006-2013 ARM Limited
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 ... | 56.25641 | 101 | 0.762078 |
from .family.target_kinetis import Kinetis
from .family.flash_kinetis import Flash_Kinetis
from ..core.memory_map import (FlashRegion, RamRegion, MemoryMap)
from ..debug.svd import SVDFile
import logging
SIM_FCFG1 = 0x4004804C
SIM_FCFG2 = 0x40048050
SIM_FCFG2_PFLSH = (1 << 23)
flash_algo = {
'load_address' : 0x2... | true | true |
1c38824e94a12bf48e5da200097fda8c47173733 | 4,662 | py | Python | pynmrstar/utils.py | bmrb-io/PyNMRSTAR | 55df5bf7de192e7a6c95f37e0756f09e3f504170 | [
"MIT"
] | 1 | 2022-03-07T16:10:56.000Z | 2022-03-07T16:10:56.000Z | pynmrstar/utils.py | bmrb-io/PyNMRSTAR | 55df5bf7de192e7a6c95f37e0756f09e3f504170 | [
"MIT"
] | 2 | 2021-10-29T19:25:56.000Z | 2022-02-28T11:05:44.000Z | pynmrstar/utils.py | bmrb-io/PyNMRSTAR | 55df5bf7de192e7a6c95f37e0756f09e3f504170 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
""" This file contains various helper functions."""
import functools
import json
import os
from typing import Iterable, Any, Dict
from urllib.error import HTTPError, URLError
from pynmrstar import definitions, cnmrstar, entry as entry_mod
from pynmrstar._internal import _interpret_file
from pyn... | 34.533333 | 112 | 0.682754 |
import functools
import json
import os
from typing import Iterable, Any, Dict
from urllib.error import HTTPError, URLError
from pynmrstar import definitions, cnmrstar, entry as entry_mod
from pynmrstar._internal import _interpret_file
from pynmrstar.schema import Schema
__all__ = ['diff', 'format_category', 'forma... | true | true |
1c38828042952d710c0ec220f1f9afaa869a649e | 867 | py | Python | src/east_coast_images/plot_ratios.py | slawler/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | 1 | 2020-03-13T07:51:44.000Z | 2020-03-13T07:51:44.000Z | src/east_coast_images/plot_ratios.py | cheginit/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | null | null | null | src/east_coast_images/plot_ratios.py | cheginit/SI_2019_Coastal | 4064d323bc62ce2f47a7af41b9a11ea5538ad181 | [
"MIT"
] | 1 | 2020-03-13T14:44:57.000Z | 2020-03-13T14:44:57.000Z | import pandas as pd
from pathlib import Path
from geopy import distance
import utils
data = pd.read_csv('shape_data.csv')
left = data.loc[data.Lon.idxmin(), ['Lat', 'Lon']]
data['Distance'] = data.apply(lambda x: distance.geodesic(left, (x['Lat'], x['Lon'])).km, axis=1)
trap = data.loc[data.Shape == 'trapezoid', ['L... | 39.409091 | 97 | 0.655133 | import pandas as pd
from pathlib import Path
from geopy import distance
import utils
data = pd.read_csv('shape_data.csv')
left = data.loc[data.Lon.idxmin(), ['Lat', 'Lon']]
data['Distance'] = data.apply(lambda x: distance.geodesic(left, (x['Lat'], x['Lon'])).km, axis=1)
trap = data.loc[data.Shape == 'trapezoid', ['L... | true | true |
1c3882f3bd53fbe4847ffeb09fc5be3a48d29384 | 19,644 | py | Python | ambari-server/src/test/python/stacks/1.3.2/MAPREDUCE/test_mapreduce_jobtracker.py | vsosrc/ambari | e3cc898672707bedf7597f2e16d684c8a00bba3b | [
"Apache-2.0"
] | null | null | null | ambari-server/src/test/python/stacks/1.3.2/MAPREDUCE/test_mapreduce_jobtracker.py | vsosrc/ambari | e3cc898672707bedf7597f2e16d684c8a00bba3b | [
"Apache-2.0"
] | null | null | null | ambari-server/src/test/python/stacks/1.3.2/MAPREDUCE/test_mapreduce_jobtracker.py | vsosrc/ambari | e3cc898672707bedf7597f2e16d684c8a00bba3b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License")... | 47.33494 | 194 | 0.49888 |
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use thi... | false | true |
1c388316514f753f1f2f8589d28db201efa18df7 | 5,330 | py | Python | test/IECoreImage/DisplayDriverServerTest.py | andrewkaufman/cortex | 23f893c3c0c92ec1842e3946f9654ff91f40aa67 | [
"BSD-3-Clause"
] | null | null | null | test/IECoreImage/DisplayDriverServerTest.py | andrewkaufman/cortex | 23f893c3c0c92ec1842e3946f9654ff91f40aa67 | [
"BSD-3-Clause"
] | null | null | null | test/IECoreImage/DisplayDriverServerTest.py | andrewkaufman/cortex | 23f893c3c0c92ec1842e3946f9654ff91f40aa67 | [
"BSD-3-Clause"
] | null | null | null | ##########################################################################
#
# Copyright (c) 2016, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistribu... | 44.789916 | 148 | 0.732645 | true | true | |
1c38834865037be0126926c49cc1add3c763f20d | 3,852 | py | Python | ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/dhcp6iana6_7939c0233bac17c3e3764bc9bc1a9571.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 20 | 2019-05-07T01:59:14.000Z | 2022-02-11T05:24:47.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/dhcp6iana6_7939c0233bac17c3e3764bc9bc1a9571.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 60 | 2019-04-03T18:59:35.000Z | 2022-02-22T12:05:05.000Z | ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/dhcp6iana6_7939c0233bac17c3e3764bc9bc1a9571.py | OpenIxia/ixnetwork_restpy | f628db450573a104f327cf3c737ca25586e067ae | [
"MIT"
] | 13 | 2019-05-20T10:48:31.000Z | 2021-10-06T07:45:44.000Z | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify,... | 35.33945 | 145 | 0.660696 |
from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
from typing import List, Any, Union
class Dhcp6Iana6(Base):
__slots__ = ()
_SDM_NAME = 'dhcp6Iana6'
_SDM_ATT_MAP = {
'Count': 'count',
'DescriptiveName': 'descriptiveName',
'Name':... | true | true |
1c3883ecedd095bf376a4526f985caa975a29924 | 38,335 | py | Python | tests/test_tools.py | raidun99/regolith | ad4af42023d6133d18b0ef8aac7f3ef7aa5c1693 | [
"CC0-1.0"
] | null | null | null | tests/test_tools.py | raidun99/regolith | ad4af42023d6133d18b0ef8aac7f3ef7aa5c1693 | [
"CC0-1.0"
] | null | null | null | tests/test_tools.py | raidun99/regolith | ad4af42023d6133d18b0ef8aac7f3ef7aa5c1693 | [
"CC0-1.0"
] | null | null | null | import pytest
import datetime as dt
from regolith.tools import (
filter_publications,
fuzzy_retrieval,
fragment_retrieval,
number_suffix,
latex_safe,
update_schemas,
merge_collections,
group,
is_fully_appointed,
group_member_ids,
group_member_employment_start_end,
month_a... | 39.197342 | 150 | 0.481753 | import pytest
import datetime as dt
from regolith.tools import (
filter_publications,
fuzzy_retrieval,
fragment_retrieval,
number_suffix,
latex_safe,
update_schemas,
merge_collections,
group,
is_fully_appointed,
group_member_ids,
group_member_employment_start_end,
month_a... | true | true |
1c38840516f5d7445dc6d7a99403e818a10956dd | 2,932 | py | Python | osim-rl/examples/arm.py | lancerane/NIPS-2018-AI-for-Prosthetics | 7689646e2d079ffcbcde898ece25d2cf78c132c7 | [
"MIT"
] | 3 | 2019-04-01T10:14:04.000Z | 2022-02-16T07:15:49.000Z | osim-rl/examples/arm.py | lancerane/NIPS-2018-AI-for-Prosthetics | 7689646e2d079ffcbcde898ece25d2cf78c132c7 | [
"MIT"
] | 1 | 2019-07-10T07:57:48.000Z | 2019-07-11T07:41:43.000Z | osim-rl/examples/arm.py | lancerane/NIPS-2018-AI-for-Prosthetics | 7689646e2d079ffcbcde898ece25d2cf78c132c7 | [
"MIT"
] | 3 | 2019-05-12T09:41:00.000Z | 2021-11-03T20:54:36.000Z | import os
from osim.env import OsimEnv
import pprint
import numpy as np
class Arm3dEnv(OsimEnv):
model_path = os.path.join(os.path.dirname(__file__), '../osim/models/MoBL_ARMS_J_Simple_032118.osim')
time_limit = 200
current_objective = np.array([0,0,0])
def is_done(self):
# End ... | 35.756098 | 138 | 0.596862 | import os
from osim.env import OsimEnv
import pprint
import numpy as np
class Arm3dEnv(OsimEnv):
model_path = os.path.join(os.path.dirname(__file__), '../osim/models/MoBL_ARMS_J_Simple_032118.osim')
time_limit = 200
current_objective = np.array([0,0,0])
def is_done(self):
... | true | true |
1c38844a25ec5660e773058dc22758b3ba1914bf | 446 | py | Python | src/lolite/lib/hooks/Python3Script.py | NathanKewley/lolite | f3d6cd07e9893bbb6b923d49ecb8681cd218eace | [
"Apache-2.0"
] | 5 | 2021-05-04T06:07:43.000Z | 2021-12-11T15:08:01.000Z | src/lolite/lib/hooks/Python3Script.py | NathanKewley/lolite | f3d6cd07e9893bbb6b923d49ecb8681cd218eace | [
"Apache-2.0"
] | 4 | 2021-05-01T07:20:21.000Z | 2021-05-29T04:51:56.000Z | src/lolite/lib/hooks/Python3Script.py | NathanKewley/lolite | f3d6cd07e9893bbb6b923d49ecb8681cd218eace | [
"Apache-2.0"
] | null | null | null | from lolite.lib.hooks.hook_base import HookBase
class Hook(HookBase):
def __init__(self, logger, arguments):
super().__init__(logger, arguments)
def execute_hook(self):
self._logger.debug(f"Running Python3 Hook: {self._arguments}")
if not self._subproc.run_command_exit_co... | 31.857143 | 87 | 0.674888 | from lolite.lib.hooks.hook_base import HookBase
class Hook(HookBase):
def __init__(self, logger, arguments):
super().__init__(logger, arguments)
def execute_hook(self):
self._logger.debug(f"Running Python3 Hook: {self._arguments}")
if not self._subproc.run_command_exit_co... | true | true |
1c38844fce8820095626484dad3f69c9e1319288 | 24,888 | py | Python | cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_mpls_vpn_oper.py | bopopescu/ACI | dd717bc74739eeed4747b3ea9e36b239580df5e1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_mpls_vpn_oper.py | bopopescu/ACI | dd717bc74739eeed4747b3ea9e36b239580df5e1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_mpls_vpn_oper.py | bopopescu/ACI | dd717bc74739eeed4747b3ea9e36b239580df5e1 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-07-22T04:04:44.000Z | 2020-07-22T04:04:44.000Z | """ Cisco_IOS_XR_mpls_vpn_oper
This module contains a collection of YANG definitions
for Cisco IOS\-XR mpls\-vpn package operational data.
This module contains definitions
for the following management objects\:
l3vpn\: L3VPN operational data
Copyright (c) 2013\-2017 by Cisco Systems, Inc.
All rights reserved.
""... | 36.069565 | 175 | 0.499879 | from collections import OrderedDict
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.filters import YFilter
from ydk.errors import YError, YModelError
from ydk.errors.error_handler import handle_type_error as _handle_type_error
cl... | true | true |
1c3884b2e21c9416d76a3ae7f7dfa9fe00146e26 | 4,127 | py | Python | application/aci/models.py | HyechurnJang/archon | 2cda56436ed6dea65d38774f7c9ed6c3315dbc03 | [
"Apache-2.0"
] | 1 | 2018-03-07T08:33:23.000Z | 2018-03-07T08:33:23.000Z | application/aci/models.py | HyechurnJang/archon | 2cda56436ed6dea65d38774f7c9ed6c3315dbc03 | [
"Apache-2.0"
] | 2 | 2017-03-14T01:02:55.000Z | 2017-03-14T01:07:29.000Z | application/aci/models.py | HyechurnJang/archon | 2cda56436ed6dea65d38774f7c9ed6c3315dbc03 | [
"Apache-2.0"
] | 4 | 2017-02-03T04:53:07.000Z | 2020-04-20T07:52:47.000Z | # -*- coding: utf-8 -*-
################################################################################
# _____ _ _____ _ #
# / ____(_) / ____| | | #
# | | _ ___ ___ ___ | (___ _ _ ___| |_... | 53.597403 | 80 | 0.388902 |
d(max_length=100)
dn = models.CharField(max_length=2048)
intf = models.CharField(max_length=2048)
start = models.CharField(max_length=24)
stop = models.CharField(max_length=24)
modelview(EPTracker)
class FaultMessage(models.Model):
code = models.CharField(max_length=8)
title = models.CharFiel... | true | true |
1c3885a735d8c4e6f62f1bac47fb74426f809a4d | 1,141 | py | Python | lib/systems/d-arabinose.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | lib/systems/d-arabinose.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | lib/systems/d-arabinose.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | import pulsar as psr
def load_ref_system():
""" Returns d-arabinose as found in the IQMol fragment library.
All credit to https://github.com/nutjunkie/IQmol
"""
return psr.make_system("""
C 2.3481 -0.9668 0.1807
C 1.2791 0.0840 -0.2072
C -0.161... | 40.75 | 67 | 0.405784 | import pulsar as psr
def load_ref_system():
return psr.make_system("""
C 2.3481 -0.9668 0.1807
C 1.2791 0.0840 -0.2072
C -0.1614 -0.4732 0.0020
C -1.2259 0.6349 -0.2676
C -2.5511 -0.0222 -0.6508
O ... | true | true |
1c38875a7a77a091f468124bf60e54b52c488fe7 | 19,102 | py | Python | train_180215_1_Dense_6th_training.py | OsciiArt/Cookpad | b2245f84db0650d6282c97c98600de825c6ed6e0 | [
"MIT"
] | null | null | null | train_180215_1_Dense_6th_training.py | OsciiArt/Cookpad | b2245f84db0650d6282c97c98600de825c6ed6e0 | [
"MIT"
] | null | null | null | train_180215_1_Dense_6th_training.py | OsciiArt/Cookpad | b2245f84db0650d6282c97c98600de825c6ed6e0 | [
"MIT"
] | null | null | null | import numpy as np # linear algebra
np.random.seed(42)
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from sklearn.model_selection import train_test_split
from matplotlib import pyplot
import time
import os, glob
import cv2
# parameters
format = "%H%M"
ts = time.strftime(format)
base_name = os.... | 34.418018 | 166 | 0.58753 | import numpy as np
np.random.seed(42)
import pandas as pd
from sklearn.model_selection import train_test_split
from matplotlib import pyplot
import time
import os, glob
import cv2
format = "%H%M"
ts = time.strftime(format)
base_name = os.path.splitext(__file__)[0] + "_ts" + ts
input_size = 221
from keras.preproce... | true | true |
1c388762cb270cccc694c3cc35eec77a5c2a4523 | 8,129 | py | Python | opencood/loss/fpvrcnn_loss.py | YuanYunshuang/OpenCOOD | 98e07eb45f7fdcd32518b2cf8f9052f73ca80bec | [
"Apache-2.0"
] | null | null | null | opencood/loss/fpvrcnn_loss.py | YuanYunshuang/OpenCOOD | 98e07eb45f7fdcd32518b2cf8f9052f73ca80bec | [
"Apache-2.0"
] | null | null | null | opencood/loss/fpvrcnn_loss.py | YuanYunshuang/OpenCOOD | 98e07eb45f7fdcd32518b2cf8f9052f73ca80bec | [
"Apache-2.0"
] | null | null | null | import torch
from torch import nn
import numpy as np
from opencood.loss.ciassd_loss import CiassdLoss, weighted_smooth_l1_loss
class FpvrcnnLoss(nn.Module):
def __init__(self, args):
super(FpvrcnnLoss, self).__init__()
self.ciassd_loss = CiassdLoss(args['stage1'])
self.cls = args['stage2']... | 41.47449 | 111 | 0.559847 | import torch
from torch import nn
import numpy as np
from opencood.loss.ciassd_loss import CiassdLoss, weighted_smooth_l1_loss
class FpvrcnnLoss(nn.Module):
def __init__(self, args):
super(FpvrcnnLoss, self).__init__()
self.ciassd_loss = CiassdLoss(args['stage1'])
self.cls = args['stage2']... | true | true |
1c38885b0dc3ff66a8b79b9298a5f9ff6c7bc340 | 48,337 | py | Python | pythoms/mzml.py | flowerah/PythoMS | 7d500f20219157657023c8c0a930f580d3768191 | [
"MIT"
] | null | null | null | pythoms/mzml.py | flowerah/PythoMS | 7d500f20219157657023c8c0a930f580d3768191 | [
"MIT"
] | null | null | null | pythoms/mzml.py | flowerah/PythoMS | 7d500f20219157657023c8c0a930f580d3768191 | [
"MIT"
] | null | null | null | """
IGNORE:
CHANGELOG:
-
---2.7 building
to add:
try to extract timepoints and tic from chromatogramList (x values are sorted, so this probably won't work)
IGNORE
"""
import sys
import os
import zlib
import gzip
import base64
import struct
import subprocess
import xml.dom.minidom
import scipy as sci
from random im... | 45.515066 | 175 | 0.596148 | import sys
import os
import zlib
import gzip
import base64
import struct
import subprocess
import xml.dom.minidom
import scipy as sci
from random import random
from .progress import Progress
from .spectrum import Spectrum
from .psims import CVParameterSet, stringtodigit
from .tome import resolution, locate_in_list, tri... | true | true |
1c3888f0cf285a3a0076e254a6838bcd4e5d38db | 451 | py | Python | src/posts/migrations/0002_post_section.py | kelchidoo/financezone | 0b16179b6028ef061a21b5003bbaffe18db8459e | [
"MIT"
] | null | null | null | src/posts/migrations/0002_post_section.py | kelchidoo/financezone | 0b16179b6028ef061a21b5003bbaffe18db8459e | [
"MIT"
] | null | null | null | src/posts/migrations/0002_post_section.py | kelchidoo/financezone | 0b16179b6028ef061a21b5003bbaffe18db8459e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.10 on 2018-08-05 19:13
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('posts', '0001_initial'),
]
operations = [
migrations.AddField(
... | 21.47619 | 65 | 0.609756 |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('posts', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='post',
name='section',
field=models... | true | true |
1c388a6c6859d6e68629d021830a224fc96d1d4f | 773 | py | Python | tests/test_font_size.py | ehtec/pdfminer.six | 5b1823f25ab998e904fc5d81687732580f23e3b9 | [
"MIT"
] | null | null | null | tests/test_font_size.py | ehtec/pdfminer.six | 5b1823f25ab998e904fc5d81687732580f23e3b9 | [
"MIT"
] | 1 | 2022-01-31T22:58:07.000Z | 2022-01-31T22:58:07.000Z | tests/test_font_size.py | phantomcyber/pdfminer.six | e35a9319a6ae5d310f08f07a5edf16aadc529c1e | [
"MIT"
] | null | null | null | from helpers import absolute_sample_path
from pdfminer.high_level import extract_pages
from pdfminer.layout import LTChar, LTTextBox
def test_font_size():
path = absolute_sample_path('font-size-test.pdf')
for page in extract_pages(path):
for text_box in page:
if isinstance(text_box, LTText... | 38.65 | 67 | 0.570505 | from helpers import absolute_sample_path
from pdfminer.high_level import extract_pages
from pdfminer.layout import LTChar, LTTextBox
def test_font_size():
path = absolute_sample_path('font-size-test.pdf')
for page in extract_pages(path):
for text_box in page:
if isinstance(text_box, LTText... | true | true |
1c388b2613d1ec6add292ddb344c67ba4bb59a48 | 256 | py | Python | configs/unet/fcn_unet_s5-d16_256x256_40k_hrf.py | Xlinford/mmsegmentation | 8b444de5e6db2af2538a73a93ac75204f5c3bb2f | [
"Apache-2.0"
] | null | null | null | configs/unet/fcn_unet_s5-d16_256x256_40k_hrf.py | Xlinford/mmsegmentation | 8b444de5e6db2af2538a73a93ac75204f5c3bb2f | [
"Apache-2.0"
] | null | null | null | configs/unet/fcn_unet_s5-d16_256x256_40k_hrf.py | Xlinford/mmsegmentation | 8b444de5e6db2af2538a73a93ac75204f5c3bb2f | [
"Apache-2.0"
] | null | null | null | _base_ = [
'../_base_/models/fcn_unet_s5-d16.py', '../_base_/datasets/hrf.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
test_cfg = dict(crop_size=(256, 256), stride=(170, 170))
evaluation = dict(metric='mDice')
| 36.571429 | 74 | 0.660156 | _base_ = [
'../_base_/models/fcn_unet_s5-d16.py', '../_base_/datasets/hrf.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_40k.py'
]
test_cfg = dict(crop_size=(256, 256), stride=(170, 170))
evaluation = dict(metric='mDice')
| true | true |
1c388b552035a4b9b2ec413e86da8a0c41e5beb0 | 3,731 | py | Python | bw2io/extractors/exiobase.py | mfastudillo/brightway2-io | dc383ddb6003a46e78259aeb7f87b9d80965d689 | [
"BSD-3-Clause"
] | null | null | null | bw2io/extractors/exiobase.py | mfastudillo/brightway2-io | dc383ddb6003a46e78259aeb7f87b9d80965d689 | [
"BSD-3-Clause"
] | null | null | null | bw2io/extractors/exiobase.py | mfastudillo/brightway2-io | dc383ddb6003a46e78259aeb7f87b9d80965d689 | [
"BSD-3-Clause"
] | null | null | null | from pathlib import Path
from tqdm import tqdm
import csv
import os
import re
def remove_numerics(string):
"""Transform names like 'Tobacco products (16)' into 'Tobacco products'"""
return re.sub(r" \(\d\d\)$", "", string)
class Exiobase3DataExtractor(object):
@classmethod
def _check_dir(cls, path):... | 33.918182 | 88 | 0.5197 | from pathlib import Path
from tqdm import tqdm
import csv
import os
import re
def remove_numerics(string):
return re.sub(r" \(\d\d\)$", "", string)
class Exiobase3DataExtractor(object):
@classmethod
def _check_dir(cls, path):
assert os.path.isdir(path), "Must supply path to EXIOBASE dat... | true | true |
1c388bae3fb6fc165c920da9ecd9a70d511f6b52 | 1,188 | py | Python | src/gui/mixins.py | dynaryu/vaws | f6ed9b75408f7ce6100ed59b7754f745e59be152 | [
"BSD-3-Clause"
] | null | null | null | src/gui/mixins.py | dynaryu/vaws | f6ed9b75408f7ce6100ed59b7754f745e59be152 | [
"BSD-3-Clause"
] | null | null | null | src/gui/mixins.py | dynaryu/vaws | f6ed9b75408f7ce6100ed59b7754f745e59be152 | [
"BSD-3-Clause"
] | null | null | null |
from PyQt4.QtCore import QVariant, QSettings
from PyQt4.QtGui import QTableWidget
class PersistSizePosMixin(object):
def __init__(self, name):
self.name = name
def initSizePosFromSettings(self):
settings = QSettings()
key = self.name + "/Geometry"
if setting... | 33 | 82 | 0.632155 |
from PyQt4.QtCore import QVariant, QSettings
from PyQt4.QtGui import QTableWidget
class PersistSizePosMixin(object):
def __init__(self, name):
self.name = name
def initSizePosFromSettings(self):
settings = QSettings()
key = self.name + "/Geometry"
if setting... | true | true |
1c388c7ef1bcb9c97ba3d2d40f8d2d79a492e919 | 20,373 | py | Python | azure-mgmt-dns/azure/mgmt/dns/v2016_04_01/operations/zones_operations.py | alexeldeib/azure-sdk-for-python | eed1e228847d90d97ca55ded98e10a915b391b61 | [
"MIT"
] | 1 | 2018-07-23T08:59:24.000Z | 2018-07-23T08:59:24.000Z | azure-mgmt-dns/azure/mgmt/dns/v2016_04_01/operations/zones_operations.py | Vinaysaibhogela/azure-sdk-for-python | 3345c2b5ed2b750024f71331a68d7a087157e9a7 | [
"MIT"
] | null | null | null | azure-mgmt-dns/azure/mgmt/dns/v2016_04_01/operations/zones_operations.py | Vinaysaibhogela/azure-sdk-for-python | 3345c2b5ed2b750024f71331a68d7a087157e9a7 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 46.407745 | 169 | 0.653659 |
import uuid
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from msrest.polling import LROPoller, NoPolling
from msrestazure.polling.arm_polling import ARMPolling
from .. import models
class ZonesOperations(object):
models = models
def __init__(s... | true | true |
1c388e1b43dc8a50c0ebf84601ad29804106cc77 | 1,171 | py | Python | sktime/utils/seasonality.py | Mo-Saif/sktime | f3c71977c113d986276fca2bdedf70faaa33f040 | [
"BSD-3-Clause"
] | 1 | 2019-09-29T07:11:33.000Z | 2019-09-29T07:11:33.000Z | sktime/utils/seasonality.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | null | null | null | sktime/utils/seasonality.py | ClaudiaSanches/sktime | 63e7839e80ca6d5fe5fc4f33389ec3bcacd8aa59 | [
"BSD-3-Clause"
] | 1 | 2019-05-08T10:42:20.000Z | 2019-05-08T10:42:20.000Z | from statsmodels.tsa.stattools import acf
import numpy as np
def seasonality_test(x, freq):
"""Seasonality test used in M4 competition
# original implementation
# def seasonality_test(original_ts, ppy):
#
# Seasonality test
# :param original_ts: time series
# :param ppy: periods per year
... | 23.42 | 76 | 0.577284 | from statsmodels.tsa.stattools import acf
import numpy as np
def seasonality_test(x, freq):
x = np.asarray(x)
crit_val = 1.645
n = len(x)
r = acf(x, nlags=freq)
s = r[1] + np.sum(r[2:] ** 2)
limit = crit_val * np.sqrt((1 + 2 * s) / n)
return np.abs(r[freq]) > limit
| true | true |
1c388eed2ac49e4f17d0ea70be50fbca14318c10 | 17,392 | py | Python | pythonforandroid/bootstrap.py | mishk/python-for-android | 1b887bed09a7ec19bfa00c9fb69a54e3f60a2328 | [
"MIT"
] | 2 | 2020-09-18T17:14:12.000Z | 2021-03-24T11:39:12.000Z | pythonforandroid/bootstrap.py | mishk/python-for-android | 1b887bed09a7ec19bfa00c9fb69a54e3f60a2328 | [
"MIT"
] | null | null | null | pythonforandroid/bootstrap.py | mishk/python-for-android | 1b887bed09a7ec19bfa00c9fb69a54e3f60a2328 | [
"MIT"
] | 1 | 2020-07-23T02:40:40.000Z | 2020-07-23T02:40:40.000Z | import functools
import glob
import importlib
import os
from os.path import (join, dirname, isdir, normpath, splitext, basename)
from os import listdir, walk, sep
import sh
import shlex
import shutil
from pythonforandroid.logger import (shprint, info, logger, debug)
from pythonforandroid.util import (
current_dire... | 39.259594 | 110 | 0.594181 | import functools
import glob
import importlib
import os
from os.path import (join, dirname, isdir, normpath, splitext, basename)
from os import listdir, walk, sep
import sh
import shlex
import shutil
from pythonforandroid.logger import (shprint, info, logger, debug)
from pythonforandroid.util import (
current_dire... | true | true |
1c388f83b0135bdf4b3681bd6fab412577e4207e | 3,528 | py | Python | testsite/settings.py | deepaksingh1/testsite | a36737f49d6264c0c38f7b8c4b96de248e8e3f41 | [
"MIT"
] | null | null | null | testsite/settings.py | deepaksingh1/testsite | a36737f49d6264c0c38f7b8c4b96de248e8e3f41 | [
"MIT"
] | null | null | null | testsite/settings.py | deepaksingh1/testsite | a36737f49d6264c0c38f7b8c4b96de248e8e3f41 | [
"MIT"
] | null | null | null | """
Django settings for testsite project.
Generated by 'django-admin startproject' using Django 3.0.1.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import os
... | 24.5 | 91 | 0.694728 |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = '_)@s9t+_-xj-0v&-@o1u8pzv53)idi&+jym4)9@g#42-oa(5il'
DEBUG = True
ALLOWED_HOSTS = ['http://deepaks135.pythonanywhere.com']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.cont... | true | true |
1c38903631724b2f4bcc64d6a35b37d5295b7e23 | 1,576 | py | Python | pandas/tests/indexes/base_class/test_indexing.py | advatar/pandas | 14b84b45d6c891fd8954ba9bb0c493cd9ec2a662 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-01-14T15:16:34.000Z | 2021-01-14T15:16:34.000Z | pandas/tests/indexes/base_class/test_indexing.py | Tian-Jionglu/pandas | 6b3618de9c5deae3bcb4c7d5dfbd35e1f9eeaf15 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/tests/indexes/base_class/test_indexing.py | Tian-Jionglu/pandas | 6b3618de9c5deae3bcb4c7d5dfbd35e1f9eeaf15 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | import numpy as np
import pytest
from pandas.compat import is_numpy_dev
from pandas import Index
import pandas._testing as tm
class TestGetSliceBounds:
@pytest.mark.parametrize("kind", ["getitem", "loc", None])
@pytest.mark.parametrize("side, expected", [("left", 4), ("right", 5)])
def test_get_slice_bo... | 39.4 | 85 | 0.673223 | import numpy as np
import pytest
from pandas.compat import is_numpy_dev
from pandas import Index
import pandas._testing as tm
class TestGetSliceBounds:
@pytest.mark.parametrize("kind", ["getitem", "loc", None])
@pytest.mark.parametrize("side, expected", [("left", 4), ("right", 5)])
def test_get_slice_bo... | true | true |
1c3893b343a7fc290d6d36d72be638b7ffade06e | 1,943 | py | Python | astropy/sphinx/ext/tests/test_automodsumm.py | xiaomi1122/astropy | 8876e902f5efa02a3fc27d82fe15c16001d4df5e | [
"BSD-3-Clause"
] | null | null | null | astropy/sphinx/ext/tests/test_automodsumm.py | xiaomi1122/astropy | 8876e902f5efa02a3fc27d82fe15c16001d4df5e | [
"BSD-3-Clause"
] | null | null | null | astropy/sphinx/ext/tests/test_automodsumm.py | xiaomi1122/astropy | 8876e902f5efa02a3fc27d82fe15c16001d4df5e | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from ....tests.helper import pytest
pytest.importorskip('sphinx') # skips these tests if sphinx not present
class FakeEnv(object):
"""
Mocks up a sphinx env setting construct for automodapi tests
"""
def __init__(self, **kwargs):
... | 26.986111 | 75 | 0.687597 |
from ....tests.helper import pytest
pytest.importorskip('sphinx')
class FakeEnv(object):
def __init__(self, **kwargs):
for k, v in kwargs.iteritems():
setattr(self, k, v)
class FakeBuilder(object):
def __init__(self, **kwargs):
self.env = FakeEnv(**kwargs)
class FakeApp(obje... | true | true |
1c3894096729807804f491952c37d47fec2bd279 | 3,209 | py | Python | stock/models.py | Singosgu/Elvis_WMS | e6911b7daae76be640ece8946104af24b6cf0fa6 | [
"MIT"
] | 3 | 2020-10-19T05:55:28.000Z | 2020-11-12T03:55:06.000Z | stock/models.py | Singosgu/Django_WMS | 8cf5f5282a5619d6f488372020f95441cf89f868 | [
"MIT"
] | 1 | 2020-07-24T07:34:36.000Z | 2020-07-24T07:34:36.000Z | stock/models.py | Singosgu/Elvis_WMS | e6911b7daae76be640ece8946104af24b6cf0fa6 | [
"MIT"
] | 4 | 2020-09-04T13:35:15.000Z | 2020-10-16T15:10:38.000Z | from django.db import models
class StockListModel(models.Model):
goods_code = models.CharField(max_length=32, verbose_name="Goods Code")
goods_desc = models.CharField(max_length=255, verbose_name="Goods Description")
goods_qty = models.BigIntegerField(default=0, verbose_name="Total Qty")
onhand_stock =... | 56.298246 | 104 | 0.747897 | from django.db import models
class StockListModel(models.Model):
goods_code = models.CharField(max_length=32, verbose_name="Goods Code")
goods_desc = models.CharField(max_length=255, verbose_name="Goods Description")
goods_qty = models.BigIntegerField(default=0, verbose_name="Total Qty")
onhand_stock =... | true | true |
1c38941befd420085bd5935ca9e675d2d2bbcea6 | 7,359 | py | Python | caserec/recommenders/item_recommendation/item_attribute_knn.py | eduardofressato/CaseRecommender | 0e5675f3afdb14111b14e02a511527647b66aa66 | [
"MIT"
] | 1 | 2019-01-05T02:14:47.000Z | 2019-01-05T02:14:47.000Z | caserec/recommenders/item_recommendation/item_attribute_knn.py | guedes-joaofelipe/CaseRecommender | 5606db93f0296d0b9b5eeaba2bd48787c5ff5625 | [
"MIT"
] | null | null | null | caserec/recommenders/item_recommendation/item_attribute_knn.py | guedes-joaofelipe/CaseRecommender | 5606db93f0296d0b9b5eeaba2bd48787c5ff5625 | [
"MIT"
] | null | null | null | # coding=utf-8
""""
Item Based Collaborative Filtering Recommender with Attributes (Item Attribute KNN)
[Item Recommendation (Ranking)]
Its philosophy is as follows: in order to determine the rating of User u on item m, we can find other movies that
are similar to item m, and based on User uโs ratings ... | 45.99375 | 120 | 0.655524 |
from collections import defaultdict
import numpy as np
from caserec.recommenders.item_recommendation.itemknn import ItemKNN
from caserec.utils.process_data import ReadFile
__author__ = 'Arthur Fortes <fortes.arthur@gmail.com>'
class ItemAttributeKNN(ItemKNN):
def __init__(self, train_file=None, test_file=No... | true | true |
1c38942cb70c69cf580c8bc3fbbe42ea9fe08095 | 302 | py | Python | test/test_kind_section.py | JianxingHuang/ecint | 4c41d9d7c77ee85dd3af69aa0999d093b6a8c7a3 | [
"MIT"
] | null | null | null | test/test_kind_section.py | JianxingHuang/ecint | 4c41d9d7c77ee85dd3af69aa0999d093b6a8c7a3 | [
"MIT"
] | null | null | null | test/test_kind_section.py | JianxingHuang/ecint | 4c41d9d7c77ee85dd3af69aa0999d093b6a8c7a3 | [
"MIT"
] | 1 | 2021-04-10T08:43:02.000Z | 2021-04-10T08:43:02.000Z | from aiida.orm import StructureData
from ase.io import read
from ecint.preprocessor.kind import SetsFromYaml
structure_path = './data/h2o.xyz'
atoms = read(structure_path)
structure = StructureData(ase=atoms)
sets = SetsFromYaml(structure, None)
kind_section = sets.kind_section
print(kind_section)
| 23.230769 | 48 | 0.807947 | from aiida.orm import StructureData
from ase.io import read
from ecint.preprocessor.kind import SetsFromYaml
structure_path = './data/h2o.xyz'
atoms = read(structure_path)
structure = StructureData(ase=atoms)
sets = SetsFromYaml(structure, None)
kind_section = sets.kind_section
print(kind_section)
| true | true |
1c3895135dfb43dda73ddd7725e49c81497da474 | 13,247 | py | Python | test/unit/models/test_proposals.py | RottenCoin/sentinel | baae290dae92f393db3f884180bf1f2a47a605ce | [
"MIT"
] | null | null | null | test/unit/models/test_proposals.py | RottenCoin/sentinel | baae290dae92f393db3f884180bf1f2a47a605ce | [
"MIT"
] | null | null | null | test/unit/models/test_proposals.py | RottenCoin/sentinel | baae290dae92f393db3f884180bf1f2a47a605ce | [
"MIT"
] | null | null | null | import pytest
import sys
import os
import time
os.environ['SENTINEL_ENV'] = 'test'
os.environ['SENTINEL_CONFIG'] = os.path.normpath(os.path.join(os.path.dirname(__file__), '../../test_sentinel.conf'))
sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../../../lib')))
import misc
import config
fr... | 52.988 | 3,633 | 0.780479 | import pytest
import sys
import os
import time
os.environ['SENTINEL_ENV'] = 'test'
os.environ['SENTINEL_CONFIG'] = os.path.normpath(os.path.join(os.path.dirname(__file__), '../../test_sentinel.conf'))
sys.path.append(os.path.normpath(os.path.join(os.path.dirname(__file__), '../../../lib')))
import misc
import config
fr... | true | true |
1c389685ff52c912f2612efea656ffd0b097758d | 7,565 | py | Python | model/deeplab.py | Shang-XH/BAFTT | 62392325342f48b8a89f0c2bf71e48026dd90629 | [
"MIT"
] | 4 | 2021-09-07T03:29:38.000Z | 2021-09-07T04:24:31.000Z | model/deeplab.py | Shang-XH/BAFTT | 62392325342f48b8a89f0c2bf71e48026dd90629 | [
"MIT"
] | null | null | null | model/deeplab.py | Shang-XH/BAFTT | 62392325342f48b8a89f0c2bf71e48026dd90629 | [
"MIT"
] | null | null | null | import torch.nn as nn
import math
import torch.utils.model_zoo as model_zoo
import torch
import numpy as np
affine_par = True
def outS(i):
i = int(i)
i = (i+1)/2
i = int(np.ceil((i+1)/2.0))
i = (i+1)/2
return i
def conv3x3(in_planes, out_planes, stride=1):
"3x3 convolution with padding"
r... | 33.325991 | 139 | 0.590482 | import torch.nn as nn
import math
import torch.utils.model_zoo as model_zoo
import torch
import numpy as np
affine_par = True
def outS(i):
i = int(i)
i = (i+1)/2
i = int(np.ceil((i+1)/2.0))
i = (i+1)/2
return i
def conv3x3(in_planes, out_planes, stride=1):
return nn.Conv2d(in_planes, out_plan... | true | true |
1c38968752d7f0fcd0cd4b1a3ffa0328cb1afaf8 | 1,374 | py | Python | poolink_backend/bases/models.py | jaethewiederholen/Poolink_backend | 3a1b28856bc8916aedb7735de8b64fef3269ef1b | [
"MIT"
] | null | null | null | poolink_backend/bases/models.py | jaethewiederholen/Poolink_backend | 3a1b28856bc8916aedb7735de8b64fef3269ef1b | [
"MIT"
] | null | null | null | poolink_backend/bases/models.py | jaethewiederholen/Poolink_backend | 3a1b28856bc8916aedb7735de8b64fef3269ef1b | [
"MIT"
] | null | null | null | import timeago
from annoying.fields import AutoOneToOneField as _AutoOneToOneField
from django.db import models
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from model_utils.models import TimeStampedModel
class AutoOneToOneField(_AutoOneToOneField):
pass
class Manage... | 26.941176 | 82 | 0.69869 | import timeago
from annoying.fields import AutoOneToOneField as _AutoOneToOneField
from django.db import models
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from model_utils.models import TimeStampedModel
class AutoOneToOneField(_AutoOneToOneField):
pass
class Manage... | true | true |
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