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0a3cbe6a97f13bfc915082756595e3cea8730185 | 96,380 | py | Python | scipy/stats/morestats.py | xu-hong-/scipy | f737001cf0a75654efe09a1de5cdf5d1895bda59 | [
"BSD-3-Clause"
] | 6 | 2016-10-28T02:39:49.000Z | 2019-02-19T21:41:01.000Z | scipy/stats/morestats.py | xu-hong-/scipy | f737001cf0a75654efe09a1de5cdf5d1895bda59 | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/morestats.py | xu-hong-/scipy | f737001cf0a75654efe09a1de5cdf5d1895bda59 | [
"BSD-3-Clause"
] | 3 | 2019-11-02T04:25:20.000Z | 2021-02-20T10:43:43.000Z | # Author: Travis Oliphant, 2002
#
# Further updates and enhancements by many SciPy developers.
#
from __future__ import division, print_function, absolute_import
import math
import warnings
from collections import namedtuple
import numpy as np
from numpy import (isscalar, r_, log, around, unique, asarray,
... | 33.912738 | 103 | 0.602511 |
71ac4a7e191e7e9530c91da8a85a3eacfe754b33 | 908 | py | Python | sdk/python/pulumi_azure_native/cognitiveservices/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/cognitiveservices/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/cognitiveservices/__init__.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from .. import _utilities
import typing
# Export this package's modules as members:
from ._enums import *
from .account import *
from .get_account impo... | 36.32 | 103 | 0.798458 |
190dba1584f18351911ffa1f5768248a2fa3468d | 2,363 | bzl | Python | rules_typescript_gapic/typescript_gapic.bzl | summer-ji-eng/gapic-generator-typescript | 19a47a35320fd2f5e0abe72b05d4dcfddce19cba | [
"Apache-2.0"
] | 61 | 2018-10-23T20:45:16.000Z | 2022-03-28T16:32:39.000Z | rules_typescript_gapic/typescript_gapic.bzl | summer-ji-eng/gapic-generator-typescript | 19a47a35320fd2f5e0abe72b05d4dcfddce19cba | [
"Apache-2.0"
] | 428 | 2019-03-29T00:37:42.000Z | 2022-03-31T20:20:52.000Z | rules_typescript_gapic/typescript_gapic.bzl | summer-ji-eng/gapic-generator-typescript | 19a47a35320fd2f5e0abe72b05d4dcfddce19cba | [
"Apache-2.0"
] | 24 | 2019-07-25T22:18:57.000Z | 2022-03-03T06:31:55.000Z | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 29.911392 | 98 | 0.722387 |
de3279942127364a2680b4fdd204c22774fe5824 | 1,231 | py | Python | lab8/vector.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | 1 | 2021-04-04T07:34:14.000Z | 2021-04-04T07:34:14.000Z | lab8/vector.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | null | null | null | lab8/vector.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | 1 | 2021-02-18T09:50:10.000Z | 2021-02-18T09:50:10.000Z | import numpy as np
class Vector:
def __init__(self, x, y=None):
if y == None:
vec = x
if isinstance(vec, Vector):
self.x = vec.x
self.y = vec.y
else:
self.x = vec[0]
self.y = vec[1]
else:
... | 22.796296 | 56 | 0.488221 |
dd022534b4b321c0f7eb68a6916381d45eb01145 | 1,025 | py | Python | defenses/fine_pruning/config.py | Qinaty/input-aware-backdoor-attack-release | ce897adf4a3ce0d2badbd2b53233561fee6c7db7 | [
"MIT"
] | 67 | 2020-10-17T05:04:17.000Z | 2022-03-31T07:16:51.000Z | defenses/fine_pruning/config.py | Qinaty/input-aware-backdoor-attack-release | ce897adf4a3ce0d2badbd2b53233561fee6c7db7 | [
"MIT"
] | 3 | 2020-12-27T03:54:38.000Z | 2022-03-29T15:33:08.000Z | defenses/fine_pruning/config.py | Qinaty/input-aware-backdoor-attack-release | ce897adf4a3ce0d2badbd2b53233561fee6c7db7 | [
"MIT"
] | 12 | 2020-10-20T20:16:10.000Z | 2021-12-29T07:35:53.000Z | import argparse
def get_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("--data_root", type=str, default="../../data/")
parser.add_argument("--checkpoints", type=str, default="../../checkpoints")
parser.add_argument("--temps", type=str, default="./temps")
parser.add_argument("... | 39.423077 | 96 | 0.696585 |
46094e6460705a94374737f3e588562e2f34b5e0 | 3,431 | py | Python | liif/utils.py | NejcHirci/material-addon | c08e2081413c3319b712c2f7193ac8013f601382 | [
"MIT"
] | 4 | 2022-01-31T14:26:39.000Z | 2022-02-06T06:34:27.000Z | liif/utils.py | NejcHirci/material-addon | c08e2081413c3319b712c2f7193ac8013f601382 | [
"MIT"
] | 2 | 2021-11-30T12:19:27.000Z | 2021-11-30T12:42:10.000Z | liif/utils.py | NejcHirci/material-addon | c08e2081413c3319b712c2f7193ac8013f601382 | [
"MIT"
] | null | null | null | import os
import time
import shutil
import math
import torch
import numpy as np
from torch.optim import SGD, Adam
def make_coord(shape, ranges=None, flatten=True):
""" Make coordinates at grid centers.
"""
coord_seqs = []
for i, n in enumerate(shape):
if ranges is None:
v0, v1 = -1... | 23.993007 | 78 | 0.556398 |
926544991596b38b66ab6332128d97dc2ac0b98e | 1,043 | py | Python | picker/migrations/0004_auto_20180802_1515.py | dakrauth/picker | a3faffb5eecb0586339158560a68350bec1757b3 | [
"MIT"
] | 2 | 2016-07-15T20:42:31.000Z | 2018-06-18T10:35:12.000Z | picker/migrations/0004_auto_20180802_1515.py | dakrauth/picker | a3faffb5eecb0586339158560a68350bec1757b3 | [
"MIT"
] | 1 | 2019-12-18T23:54:57.000Z | 2019-12-18T23:54:57.000Z | picker/migrations/0004_auto_20180802_1515.py | dakrauth/picker | a3faffb5eecb0586339158560a68350bec1757b3 | [
"MIT"
] | 2 | 2016-07-15T20:46:19.000Z | 2016-07-31T23:55:58.000Z | # Generated by Django 2.0.7 on 2018-08-02 19:15
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('picker', '0003_auto_20180801_0800'),
]
operations = [
migrations.AlterModelOptions(
name='game'... | 27.447368 | 129 | 0.57047 |
48925d69d5e4a0b7e09fa5e5fed0e811fae2c7a4 | 40,076 | py | Python | lemonade_soapbox/models/posts.py | tachyondecay/tachyondecay.net-mirror | 7e7700692a1621f2a569100e4ad8fff2d1911f05 | [
"MIT"
] | null | null | null | lemonade_soapbox/models/posts.py | tachyondecay/tachyondecay.net-mirror | 7e7700692a1621f2a569100e4ad8fff2d1911f05 | [
"MIT"
] | null | null | null | lemonade_soapbox/models/posts.py | tachyondecay/tachyondecay.net-mirror | 7e7700692a1621f2a569100e4ad8fff2d1911f05 | [
"MIT"
] | null | null | null | from datetime import datetime
from uuid import uuid4
import arrow
from diff_match_patch import diff_match_patch
from flask import current_app, flash, Markup, url_for
from flask_login import current_user
from markdown import markdown
from PIL import Image
from slugify import slugify
from sqlalchemy import asc, desc, ev... | 35.278169 | 92 | 0.575157 |
bad82ac65dbdeb14b6561ff6510a17b632e5de09 | 131,169 | py | Python | scenarios/SinglePlayer/ColdWar/Iron_Fist.py | dhanin/friendly-bassoon | fafcfd3921805baddc1889dc0ee2fa367ad882f8 | [
"BSD-3-Clause"
] | 2 | 2021-11-17T10:59:38.000Z | 2021-11-17T10:59:45.000Z | scenarios/SinglePlayer/ColdWar/Iron_Fist.py | dhanin/nws | 87a3f24a7887d84b9884635064b48d456b4184e2 | [
"BSD-3-Clause"
] | null | null | null | scenarios/SinglePlayer/ColdWar/Iron_Fist.py | dhanin/nws | 87a3f24a7887d84b9884635064b48d456b4184e2 | [
"BSD-3-Clause"
] | null | null | null | # Created on 03/16/12 00:33:20
from math import *
from random import *
from UnitCommands import *
def CreateScenario(SM):
SM.SetScenarioDescription("""Iron Fist\nV 1.0\n2010/06/26\n\nA scenario for Global Conflicts 2.\nCold War Battleset\n\nWritten by Ralf Koelbach.\nrkoelbach@yahoo.com\n\nIron Fist is a classica... | 51.358262 | 1,101 | 0.682394 |
a5ad8d3ee86bbdd5864add26c538ace0b8422351 | 51,330 | py | Python | detection_tools/utils/config_util.py | nivosco/detection-tools | bfe461b668cdcd9bcfcfccbdad92342d6fb12fd1 | [
"Apache-2.0"
] | null | null | null | detection_tools/utils/config_util.py | nivosco/detection-tools | bfe461b668cdcd9bcfcfccbdad92342d6fb12fd1 | [
"Apache-2.0"
] | null | null | null | detection_tools/utils/config_util.py | nivosco/detection-tools | bfe461b668cdcd9bcfcfccbdad92342d6fb12fd1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 40.353774 | 80 | 0.747516 |
1f12b5e95bb336ada6747b99a651de4453e54c71 | 940 | py | Python | modmel_spec/test_arch.py | joaomonteirof/dcase | 018bd225c45397bba616e3c70e4a7b50bb1010af | [
"MIT"
] | null | null | null | modmel_spec/test_arch.py | joaomonteirof/dcase | 018bd225c45397bba616e3c70e4a7b50bb1010af | [
"MIT"
] | null | null | null | modmel_spec/test_arch.py | joaomonteirof/dcase | 018bd225c45397bba616e3c70e4a7b50bb1010af | [
"MIT"
] | 1 | 2020-05-12T12:52:13.000Z | 2020-05-12T12:52:13.000Z | from __future__ import print_function
import argparse
import torch
import torchvision
import torchvision.transforms as transforms
import torch.optim as optim
import torch.utils.data
from models import resnet
# Training settings
parser = argparse.ArgumentParser(description='Test architectures with dummy data')
parser.a... | 34.814815 | 128 | 0.755319 |
a32fd981221622f043045ff8c5cd3a337b569805 | 2,116 | py | Python | custom_components/esxi_stats/const.py | revin34/esxi_stats | 480602073c1cc96a78319b7613bb6215bbb89918 | [
"MIT"
] | 88 | 2019-08-13T19:29:41.000Z | 2022-03-16T08:54:45.000Z | custom_components/esxi_stats/const.py | revin34/esxi_stats | 480602073c1cc96a78319b7613bb6215bbb89918 | [
"MIT"
] | 49 | 2019-08-15T11:47:08.000Z | 2022-03-13T18:17:27.000Z | config/custom_components/esxi_stats/const.py | fireman1206/home-assistant-config | 31fc1c21af4338d865361d189a1dda9fe01f04c9 | [
"MIT"
] | 32 | 2019-08-15T14:22:54.000Z | 2022-03-12T16:22:37.000Z | """Constants for ESXi Stats."""
DOMAIN = "esxi_stats"
DOMAIN_DATA = "{}_data".format(DOMAIN)
PLATFORMS = ["sensor"]
REQUIRED_FILES = [
"const.py",
"esxi.py",
"manifest.json",
"sensor.py",
"config_flow.py",
"services.yaml",
"translations/en.json",
]
VERSION = "0.6.3"
ISSUE_URL = "https://git... | 21.373737 | 81 | 0.600662 |
67c76929204c6ae28a00e04fbc184f8dd4a95460 | 1,165 | py | Python | src/polls/migrations/0001_initial.py | fernandoacorreia/django-tutorial | 86be12b7cd6ef55e713f9bf4c478f41ed4e823d8 | [
"MIT"
] | null | null | null | src/polls/migrations/0001_initial.py | fernandoacorreia/django-tutorial | 86be12b7cd6ef55e713f9bf4c478f41ed4e823d8 | [
"MIT"
] | null | null | null | src/polls/migrations/0001_initial.py | fernandoacorreia/django-tutorial | 86be12b7cd6ef55e713f9bf4c478f41ed4e823d8 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.6 on 2018-07-04 04:17
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Choice',
fields=[
... | 31.486486 | 114 | 0.577682 |
a3b1baef471d5d4fa31e94a8c9a7950f5e83c770 | 6,778 | py | Python | src/tools/package.py | MaxSac/build | 482c25f3a26171073c7e6c59f0427f2259a63fec | [
"BSL-1.0"
] | 2,831 | 2015-12-24T03:21:07.000Z | 2022-03-31T18:37:29.000Z | src/tools/package.py | MaxSac/build | 482c25f3a26171073c7e6c59f0427f2259a63fec | [
"BSL-1.0"
] | 618 | 2015-01-02T01:39:26.000Z | 2022-03-28T15:18:40.000Z | src/tools/package.py | MaxSac/build | 482c25f3a26171073c7e6c59f0427f2259a63fec | [
"BSL-1.0"
] | 781 | 2015-12-24T04:28:34.000Z | 2022-03-26T05:23:12.000Z | # Status: ported
# Base revision: 64488
#
# Copyright (c) 2005, 2010 Vladimir Prus.
# Copyright 2006 Rene Rivera.
#
# Use, modification and distribution is subject to the Boost Software
# License Version 1.0. (See accompanying file LICENSE_1_0.txt or
# http://www.boost.org/LICENSE_1_0.txt)
# Provides mechanism for ins... | 40.106509 | 117 | 0.666273 |
2d81d9c21f51c4c440c406e4ee13cfd1a70b5ddc | 294 | py | Python | leetcode/python/887_super_egg_drop.py | VVKot/leetcode-solutions | 7d6e599b223d89a7861929190be715d3b3604fa4 | [
"MIT"
] | 4 | 2019-04-22T11:57:36.000Z | 2019-10-29T09:12:56.000Z | leetcode/python/887_super_egg_drop.py | VVKot/coding-competitions | 7d6e599b223d89a7861929190be715d3b3604fa4 | [
"MIT"
] | null | null | null | leetcode/python/887_super_egg_drop.py | VVKot/coding-competitions | 7d6e599b223d89a7861929190be715d3b3604fa4 | [
"MIT"
] | null | null | null | class Solution:
def superEggDrop(self, K, N):
cache = [[0] * (K+1) for _ in range(N+1)]
for m in range(1, N+1):
for k in range(1, K+1):
cache[m][k] = 1 + cache[m-1][k-1] + cache[m-1][k]
if cache[m][-1] >= N:
return m
| 29.4 | 65 | 0.42517 |
ccf9c2f09637a9bee7552df5cd1fb8fa33ea1476 | 4,605 | py | Python | bin/try.py | mohad12211/skia | 042a53aa094715e031ebad4da072524ace316744 | [
"BSD-3-Clause"
] | 19 | 2018-05-28T15:21:28.000Z | 2022-03-13T09:00:08.000Z | bin/try.py | mohad12211/skia | 042a53aa094715e031ebad4da072524ace316744 | [
"BSD-3-Clause"
] | 3 | 2017-04-28T13:58:09.000Z | 2020-09-03T09:23:39.000Z | bin/try.py | mohad12211/skia | 042a53aa094715e031ebad4da072524ace316744 | [
"BSD-3-Clause"
] | 14 | 2015-07-17T17:23:53.000Z | 2020-07-06T21:06:57.000Z | #!/usr/bin/env python
# Copyright 2017 Google Inc.
#
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Submit one or more try jobs."""
import argparse
import json
import os
import re
import subprocess
import sys
import tempfile
BUCKET_SKIA_PRIMARY = 'skia/sk... | 30.496689 | 80 | 0.645385 |
4b7a25cb3987a4d9ba833facd11b43feac796fa6 | 4,576 | py | Python | mycity/mycity/intents/snow_parking_intent.py | hamstap85/voiceapp311 | 8a8e4c0d504a38007013f0c69516344ea559865f | [
"MIT"
] | null | null | null | mycity/mycity/intents/snow_parking_intent.py | hamstap85/voiceapp311 | 8a8e4c0d504a38007013f0c69516344ea559865f | [
"MIT"
] | null | null | null | mycity/mycity/intents/snow_parking_intent.py | hamstap85/voiceapp311 | 8a8e4c0d504a38007013f0c69516344ea559865f | [
"MIT"
] | null | null | null | """Alexa intent used to find snow emergency parking"""
import mycity.intents.intent_constants as intent_constants
import mycity.intents.speech_constants.snow_parking_intent as constants
import mycity.intents.user_address_intent as user_address_intent
from mycity.intents.custom_errors import InvalidAddressError
from my... | 47.666667 | 150 | 0.757649 |
47bc830f74e6ce6d1ae54846038fe1e4aebe682f | 4,175 | py | Python | malaya_speech/speech_enhancement.py | dtx525942103/malaya-speech | 212c4e890d0cbcbbca0037c89a698b68b05db393 | [
"MIT"
] | null | null | null | malaya_speech/speech_enhancement.py | dtx525942103/malaya-speech | 212c4e890d0cbcbbca0037c89a698b68b05db393 | [
"MIT"
] | null | null | null | malaya_speech/speech_enhancement.py | dtx525942103/malaya-speech | 212c4e890d0cbcbbca0037c89a698b68b05db393 | [
"MIT"
] | 1 | 2021-08-19T02:34:41.000Z | 2021-08-19T02:34:41.000Z | from malaya_speech.supervised import unet
from herpetologist import check_type
# https://github.com/sigsep/sigsep-mus-eval/blob/master/museval/__init__.py#L364
# Only calculate SDR, ISR, SAR on voice sample
_masking_availability = {
'unet': {
'Size (MB)': 78.9,
'Quantized Size (MB)': 20,
'... | 28.020134 | 130 | 0.602874 |
ddf9ae1e561a6286c7b5bc61a8b9fdc544d70614 | 1,995 | py | Python | qa/rpc-tests/test_framework/bignum.py | mirzaei-ce/core-goldbit | cc957d795f7af032967943208171acee8a527441 | [
"MIT"
] | null | null | null | qa/rpc-tests/test_framework/bignum.py | mirzaei-ce/core-goldbit | cc957d795f7af032967943208171acee8a527441 | [
"MIT"
] | null | null | null | qa/rpc-tests/test_framework/bignum.py | mirzaei-ce/core-goldbit | cc957d795f7af032967943208171acee8a527441 | [
"MIT"
] | null | null | null | #
#
# bignum.py
#
# This file is copied from python-goldbitlib.
#
# Distributed under the MIT/X11 software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
"""Bignum routines"""
from __future__ import absolute_import, division, print_function, unicode_literals
imp... | 19.368932 | 82 | 0.541353 |
a1fad0c9b169bac2deab7d9e922df5d9fd0858b8 | 5,575 | py | Python | pypureclient/flasharray/FA_2_3/models/snapshot.py | ashahid-ps/py-pure-client | 2e3565d37b2a41db69308769f6f485d08a7c46c3 | [
"BSD-2-Clause"
] | null | null | null | pypureclient/flasharray/FA_2_3/models/snapshot.py | ashahid-ps/py-pure-client | 2e3565d37b2a41db69308769f6f485d08a7c46c3 | [
"BSD-2-Clause"
] | null | null | null | pypureclient/flasharray/FA_2_3/models/snapshot.py | ashahid-ps/py-pure-client | 2e3565d37b2a41db69308769f6f485d08a7c46c3 | [
"BSD-2-Clause"
] | null | null | null | # coding: utf-8
"""
FlashArray REST API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: 2.3
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re
import six
import typing
from .... | 37.668919 | 490 | 0.596951 |
a22717307c94028f62bf86ae41c060e00de4c134 | 254 | py | Python | xndtools/c_utils/tests/test_parser.py | xnd-project/xndtools | 9478f31954091d861ce538ba278f7f888e23d19b | [
"BSD-3-Clause"
] | 3 | 2019-11-12T16:01:26.000Z | 2020-06-27T19:27:27.000Z | xndtools/c_utils/tests/test_parser.py | xnd-project/xndtools | 9478f31954091d861ce538ba278f7f888e23d19b | [
"BSD-3-Clause"
] | 4 | 2018-04-25T17:12:43.000Z | 2018-08-23T18:17:24.000Z | xndtools/c_utils/tests/test_parser.py | xnd-project/xndtools | 9478f31954091d861ce538ba278f7f888e23d19b | [
"BSD-3-Clause"
] | 6 | 2018-05-04T08:10:40.000Z | 2019-03-19T10:00:21.000Z | from xndtools.c_utils import parser
def test_get_c_blocks():
source = '''
struct foobar {
int a;
} foobar_t
'''
assert parser.get_c_blocks(source) == (
'\nstruct foobar @@@1@@@ foobar_t\n',
{'@@@1@@@': '{\n int a;\n}'}
)
| 18.142857 | 45 | 0.555118 |
08643f21b190f1cfe96d686228415f1960642b94 | 9,932 | py | Python | mezzanine_api/serializers.py | shangzhikeji/mezzanine-api | 82d7e81d3bd95678fbb5a33ddb7f4cb07ba5fd1c | [
"MIT"
] | 95 | 2015-05-11T14:50:48.000Z | 2021-08-16T00:20:54.000Z | mezzanine_api/serializers.py | shangzhikeji/mezzanine-api | 82d7e81d3bd95678fbb5a33ddb7f4cb07ba5fd1c | [
"MIT"
] | 21 | 2015-12-20T19:05:46.000Z | 2018-12-16T19:11:59.000Z | mezzanine_api/serializers.py | shangzhikeji/mezzanine-api | 82d7e81d3bd95678fbb5a33ddb7f4cb07ba5fd1c | [
"MIT"
] | 33 | 2015-08-24T21:46:59.000Z | 2021-06-04T14:02:36.000Z | from django.urls import NoReverseMatch
from django.template.defaultfilters import strip_tags
from django.contrib.auth import get_user_model
from django.contrib.sites.models import Site
from mezzanine.blog.models import BlogPost as Post, BlogCategory
from mezzanine.pages.models import Page
from mezzanine.generic.models... | 35.345196 | 120 | 0.652537 |
c2810fc6f0ed84db839ab38e69709f3b02ca840a | 1,851 | py | Python | 2-progress-pie/main.py | christopher-nicol/sypht-excercises | ff320a0c4375d76b87d223d1e3e83cbe94b0f0a1 | [
"MIT"
] | null | null | null | 2-progress-pie/main.py | christopher-nicol/sypht-excercises | ff320a0c4375d76b87d223d1e3e83cbe94b0f0a1 | [
"MIT"
] | null | null | null | 2-progress-pie/main.py | christopher-nicol/sypht-excercises | ff320a0c4375d76b87d223d1e3e83cbe94b0f0a1 | [
"MIT"
] | null | null | null | import math
import numpy as np
# Constants & Variables
radius = 50
v1 = [0, 50] # Start line segment vector
origin = [0, 0] # Origin translated to Cartesian coordinates
while True:
T = int(input('Enter the number of points: '))
if (1 <= T <= 1000):
break
else:
print('T must be between 1 ... | 29.854839 | 117 | 0.621826 |
4938c0b7eb5b43275e9afcb9d7cbf99e607cafbd | 4,241 | py | Python | tests/pc/test_po_update.py | SuvarnaMeenakshi/sonic-mgmt | 34d7833b52276d68fb9f515354ca71e7ec2f31bb | [
"Apache-2.0"
] | null | null | null | tests/pc/test_po_update.py | SuvarnaMeenakshi/sonic-mgmt | 34d7833b52276d68fb9f515354ca71e7ec2f31bb | [
"Apache-2.0"
] | null | null | null | tests/pc/test_po_update.py | SuvarnaMeenakshi/sonic-mgmt | 34d7833b52276d68fb9f515354ca71e7ec2f31bb | [
"Apache-2.0"
] | null | null | null | from ansible_host import AnsibleHost
import time
import pytest
import logging
def test_po_update(ansible_adhoc, testbed):
"""
test port channel add/deletion as well ip address configuration
"""
hostname = testbed['dut']
ans_host = AnsibleHost(ansible_adhoc, hostname)
mg_facts = ans_host.minig... | 42.838384 | 105 | 0.690875 |
723b2557cc32cce31eeb932379fdcbf0781d59c1 | 1,982 | py | Python | src/main.py | efrenmartinez/challenge-python-02 | abdfdc25bb9fe067d7882d7377941d791662a0ac | [
"MIT"
] | null | null | null | src/main.py | efrenmartinez/challenge-python-02 | abdfdc25bb9fe067d7882d7377941d791662a0ac | [
"MIT"
] | null | null | null | src/main.py | efrenmartinez/challenge-python-02 | abdfdc25bb9fe067d7882d7377941d791662a0ac | [
"MIT"
] | null | null | null | # Resolve the problem!!
import string
import random
SYMBOLS = list('!"#$%&\'()*+,-./:;?@[]^_`{|}~')
LETTER_UPPERCASE = list(string.ascii_lowercase)
LETTER_LOWERCASE = list(string.ascii_uppercase)
NUMBERS = list(string.digits)
TYPES = ['SYMBOLS', 'LETTER_UPPERCASE', 'LETTER_LOWERCASE', 'NUMBERS']
MAX_NUMBER = 15
MIN_NU... | 26.783784 | 91 | 0.599395 |
1f9f6ab7b54c631f0dac29d6b7bac9274ec0981e | 5,108 | py | Python | pose_estimation/configs/top_down/udp/coco/hrnet_w32_coco_256x192_udp.py | AK391/UniFormer | 22c6b3b98b68236dda6a8fa7152a32af1af62a20 | [
"MIT"
] | 367 | 2022-01-14T03:32:25.000Z | 2022-03-31T04:48:20.000Z | pose_estimation/configs/top_down/udp/coco/hrnet_w32_coco_256x192_udp.py | hadlang/UniFormer | e8024703bffb89cb7c7d09e0d774a0d2a9f96c25 | [
"MIT"
] | 27 | 2022-01-27T07:12:49.000Z | 2022-03-31T04:31:13.000Z | pose_estimation/configs/top_down/udp/coco/hrnet_w32_coco_256x192_udp.py | hadlang/UniFormer | e8024703bffb89cb7c7d09e0d774a0d2a9f96c25 | [
"MIT"
] | 53 | 2022-01-18T11:21:43.000Z | 2022-03-31T06:42:41.000Z | log_level = 'INFO'
load_from = None
resume_from = None
dist_params = dict(backend='nccl')
workflow = [('train', 1)]
checkpoint_config = dict(interval=5, create_symlink=False)
evaluation = dict(interval=10, metric='mAP', key_indicator='AP')
optimizer = dict(
type='Adam',
lr=5e-4,
)
optimizer_config = dict(grad_... | 28.696629 | 79 | 0.584965 |
fe1d8202944a02ede9160cd5d1d177c2c79e9ba6 | 1,051 | py | Python | magnum_tempest_plugin/tests/api/v1/models/cluster_model.py | NeCTAR-RC/magnum-tempest-plugin | f14f3a217315fb2f2540c03d2507dfe4289cf695 | [
"Apache-2.0"
] | 8 | 2017-10-31T10:36:31.000Z | 2021-02-17T19:54:25.000Z | magnum_tempest_plugin/tests/api/v1/models/cluster_model.py | NeCTAR-RC/magnum-tempest-plugin | f14f3a217315fb2f2540c03d2507dfe4289cf695 | [
"Apache-2.0"
] | null | null | null | magnum_tempest_plugin/tests/api/v1/models/cluster_model.py | NeCTAR-RC/magnum-tempest-plugin | f14f3a217315fb2f2540c03d2507dfe4289cf695 | [
"Apache-2.0"
] | 1 | 2019-04-08T06:41:19.000Z | 2019-04-08T06:41:19.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Li... | 33.903226 | 75 | 0.764034 |
fc39ec444c6dddca94fbc2c64ba651f1984c12e6 | 96 | py | Python | venv/lib/python3.8/site-packages/poetry/core/_vendor/lark/grammar.py | GiulianaPola/select_repeats | 17a0d053d4f874e42cf654dd142168c2ec8fbd11 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/poetry/core/_vendor/lark/grammar.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/poetry/core/_vendor/lark/grammar.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/1b/24/cb/f9e97d77e50776b39d64500b7f902901cba5fcf2d3f80b49c723f71d62 | 96 | 96 | 0.895833 |
e651bb067dde035e1f9f8f9ee7c7f5786a0f92b2 | 3,028 | py | Python | ludwig/data/dataset/pandas.py | desikan95/ludwig | c6b5594db98b6eaadc7bcd32e38983fe3cb4c3f2 | [
"Apache-2.0"
] | 1 | 2021-03-31T04:51:27.000Z | 2021-03-31T04:51:27.000Z | ludwig/data/dataset/pandas.py | desikan95/ludwig | c6b5594db98b6eaadc7bcd32e38983fe3cb4c3f2 | [
"Apache-2.0"
] | null | null | null | ludwig/data/dataset/pandas.py | desikan95/ludwig | c6b5594db98b6eaadc7bcd32e38983fe3cb4c3f2 | [
"Apache-2.0"
] | 1 | 2021-01-07T17:55:02.000Z | 2021-01-07T17:55:02.000Z | #! /usr/bin/env python
# coding=utf-8
# Copyright (c) 2019 Uber Technologies, 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
#
# Unles... | 38.820513 | 80 | 0.594122 |
502a2859bde7fd34ac39a2974781574a3b120d80 | 4,504 | py | Python | src/python-common/tracing.py | mjmckay/bank-of-sirius | 1a7daf3fa5aa3d471f79c2ebb441443bfbae343d | [
"Apache-2.0"
] | 8 | 2021-10-20T17:20:47.000Z | 2022-03-19T11:46:39.000Z | src/python-common/tracing.py | mjmckay/bank-of-sirius | 1a7daf3fa5aa3d471f79c2ebb441443bfbae343d | [
"Apache-2.0"
] | 6 | 2021-09-02T15:22:23.000Z | 2022-01-13T21:20:16.000Z | src/python-common/tracing.py | mjmckay/bank-of-sirius | 1a7daf3fa5aa3d471f79c2ebb441443bfbae343d | [
"Apache-2.0"
] | 8 | 2021-08-17T14:47:05.000Z | 2022-03-25T16:19:22.000Z | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 45.04 | 107 | 0.693162 |
6dd2a50b2b3adad4bd0abd8ce6add17e30f7aadf | 1,176 | py | Python | terrascript/vsphere/d.py | GarnerCorp/python-terrascript | ec6c2d9114dcd3cb955dd46069f8ba487e320a8c | [
"BSD-2-Clause"
] | null | null | null | terrascript/vsphere/d.py | GarnerCorp/python-terrascript | ec6c2d9114dcd3cb955dd46069f8ba487e320a8c | [
"BSD-2-Clause"
] | null | null | null | terrascript/vsphere/d.py | GarnerCorp/python-terrascript | ec6c2d9114dcd3cb955dd46069f8ba487e320a8c | [
"BSD-2-Clause"
] | 1 | 2018-11-15T16:23:05.000Z | 2018-11-15T16:23:05.000Z | from terrascript import _data
class vsphere_compute_cluster(_data): pass
compute_cluster = vsphere_compute_cluster
class vsphere_custom_attribute(_data): pass
custom_attribute = vsphere_custom_attribute
class vsphere_datacenter(_data): pass
datacenter = vsphere_datacenter
class vsphere_datastore(_data): pass
datasto... | 25.021277 | 63 | 0.856293 |
3e7982434c7bd25cd11efbfbaf4edad7384385b0 | 1,061 | py | Python | mayan/apps/mailer/permissions.py | PatrickMugayaJoel/Mayan-EDMS | 1a2b4d4fa784a68498f82e0735958dc116b60d46 | [
"Apache-2.0"
] | null | null | null | mayan/apps/mailer/permissions.py | PatrickMugayaJoel/Mayan-EDMS | 1a2b4d4fa784a68498f82e0735958dc116b60d46 | [
"Apache-2.0"
] | null | null | null | mayan/apps/mailer/permissions.py | PatrickMugayaJoel/Mayan-EDMS | 1a2b4d4fa784a68498f82e0735958dc116b60d46 | [
"Apache-2.0"
] | 1 | 2021-09-01T14:07:47.000Z | 2021-09-01T14:07:47.000Z | from django.utils.translation import ugettext_lazy as _
from mayan.apps.permissions import PermissionNamespace
namespace = PermissionNamespace(label=_('Mailing'), name='mailing')
permission_mailing_send_document_link = namespace.add_permission(
label=_('Send document link via email'), name='mail_link'
)
permissi... | 37.892857 | 71 | 0.796418 |
a9685dae11ce12050df140da5b675a6401b95666 | 268 | py | Python | consultas/consultas/doctype/reporte_hematologico/reporte_hematologico.py | Lewinta/Consultas | e01ad870a2bad0eb5938d8800e3e2934402fce62 | [
"MIT"
] | null | null | null | consultas/consultas/doctype/reporte_hematologico/reporte_hematologico.py | Lewinta/Consultas | e01ad870a2bad0eb5938d8800e3e2934402fce62 | [
"MIT"
] | null | null | null | consultas/consultas/doctype/reporte_hematologico/reporte_hematologico.py | Lewinta/Consultas | e01ad870a2bad0eb5938d8800e3e2934402fce62 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2017, Lewin Villar and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
class ReporteHematologico(Document):
pass
| 24.363636 | 51 | 0.787313 |
e1926873db3745e80f9a414ed01f3d9ea050d13c | 2,437 | py | Python | insight.py | oguzserbetci/EffiCare | 4a81b6ddcff6b3b7d37dd8a6a8cd0419d742709e | [
"MIT"
] | 1 | 2020-12-27T23:01:37.000Z | 2020-12-27T23:01:37.000Z | insight.py | oguzserbetci/EffiCare | 4a81b6ddcff6b3b7d37dd8a6a8cd0419d742709e | [
"MIT"
] | null | null | null | insight.py | oguzserbetci/EffiCare | 4a81b6ddcff6b3b7d37dd8a6a8cd0419d742709e | [
"MIT"
] | null | null | null | import csv
import gzip
import os
from collections import defaultdict
import numpy as np
import torch
def get_token_act(output, input, table_key, time_ind):
t_indices = output['time_inds'][table_key]
if (t_indices.size(-1) <= np.array(time_ind)).any():
return
t_indices = t_indices[:, :, time_ind].... | 36.373134 | 94 | 0.588018 |
3c1e692d5ba6848794523969da10160cb714d3e0 | 405 | py | Python | flight_blender/wsgi.py | kant/flight-blender | 0cc68ad405f4c650df5401dae1de1aa34204a462 | [
"Apache-2.0"
] | 2 | 2020-10-19T08:16:12.000Z | 2022-01-24T12:33:20.000Z | flight_blender/wsgi.py | kant/flight-blender | 0cc68ad405f4c650df5401dae1de1aa34204a462 | [
"Apache-2.0"
] | 2 | 2022-02-11T09:52:29.000Z | 2022-02-11T09:52:37.000Z | flight_blender/wsgi.py | kant/flight-blender | 0cc68ad405f4c650df5401dae1de1aa34204a462 | [
"Apache-2.0"
] | 6 | 2020-10-19T08:16:17.000Z | 2021-08-17T21:02:55.000Z | """
WSGI config for flight_blender project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANG... | 23.823529 | 78 | 0.792593 |
29eff005d8488c03975118d42b0020d8308a8633 | 6,624 | py | Python | backend/benefit/applications/services/ahjo_integration.py | jannetasa/yjdh | 5d86a56c722dfbcee03110f66c7e7ddbea966db9 | [
"MIT"
] | 2 | 2021-05-10T09:28:35.000Z | 2021-05-17T12:15:34.000Z | backend/benefit/applications/services/ahjo_integration.py | jannetasa/yjdh | 5d86a56c722dfbcee03110f66c7e7ddbea966db9 | [
"MIT"
] | 931 | 2021-05-21T15:24:35.000Z | 2022-03-31T20:07:40.000Z | backend/benefit/applications/services/ahjo_integration.py | jannetasa/yjdh | 5d86a56c722dfbcee03110f66c7e7ddbea966db9 | [
"MIT"
] | 6 | 2021-07-06T11:07:02.000Z | 2022-02-07T12:42:21.000Z | import os
import zipfile
from io import BytesIO
import jinja2
import pdfkit
from applications.enums import ApplicationStatus, OrganizationType
from django.utils import timezone
PDF_PATH = os.path.join(os.path.dirname(__file__) + "/pdf_templates")
TEMPLATE_ID_BENEFIT_WITH_DE_MINIMIS_AID = "benefit_with_de_minimis_aid"... | 37.851429 | 111 | 0.717089 |
3f9114c2dc9eaaa2474e924961acd389e76ab993 | 10,065 | py | Python | zPE/util/__init__.py | T-Tony-T/mainframe-env-simulator | 9ca8b726b5962502d53c7e8483c5e4fd89ce5ac6 | [
"BSD-3-Clause"
] | 3 | 2015-07-20T20:11:38.000Z | 2019-07-17T01:53:50.000Z | zPE/util/__init__.py | T-Tony-T/mainframe-env-simulator | 9ca8b726b5962502d53c7e8483c5e4fd89ce5ac6 | [
"BSD-3-Clause"
] | null | null | null | zPE/util/__init__.py | T-Tony-T/mainframe-env-simulator | 9ca8b726b5962502d53c7e8483c5e4fd89ce5ac6 | [
"BSD-3-Clause"
] | 2 | 2019-11-14T14:40:09.000Z | 2021-01-21T21:58:58.000Z | # general purpose utility functions
import os
import re
### JCL argument parser
## Label Parser
def bad_label(label):
'''
Return:
- the position (start at 1) of the first invalid char
- 0 if all good
- None if no label
'''
if len(label) == 0:
return None # no la... | 30.874233 | 100 | 0.553005 |
98701daae3d5a99ebd5b1a5b6acb53852a873851 | 1,602 | py | Python | nautobot/ipam/tests/test_graphql.py | PhillSimonds/nautobot | bf9f46b074ff1d060afba17d762e06bfd320b9a5 | [
"Apache-2.0"
] | null | null | null | nautobot/ipam/tests/test_graphql.py | PhillSimonds/nautobot | bf9f46b074ff1d060afba17d762e06bfd320b9a5 | [
"Apache-2.0"
] | null | null | null | nautobot/ipam/tests/test_graphql.py | PhillSimonds/nautobot | bf9f46b074ff1d060afba17d762e06bfd320b9a5 | [
"Apache-2.0"
] | null | null | null | from django.test import override_settings
from django.urls import reverse
from rest_framework import status
from nautobot.extras.models import Status
from nautobot.ipam.models import Prefix
from nautobot.utilities.testing import APITestCase
class TestPrefix(APITestCase):
def setUp(self):
super().setUp()
... | 37.255814 | 110 | 0.649813 |
8258b7f2649664a031c73845f0a884efe6bbcb42 | 14,884 | py | Python | basicsr/models/image_restoration_model.py | dongliangcao/HINet | 6fc75199b38418dcc95fd8c095d30f4db90e9887 | [
"MIT"
] | 237 | 2021-05-12T06:50:15.000Z | 2022-03-31T13:45:17.000Z | basicsr/models/image_restoration_model.py | dongliangcao/HINet | 6fc75199b38418dcc95fd8c095d30f4db90e9887 | [
"MIT"
] | 45 | 2021-05-18T12:06:22.000Z | 2022-03-18T05:08:54.000Z | basicsr/models/image_restoration_model.py | dongliangcao/HINet | 6fc75199b38418dcc95fd8c095d30f4db90e9887 | [
"MIT"
] | 46 | 2021-05-16T14:07:53.000Z | 2022-03-31T09:14:00.000Z | # ------------------------------------------------------------------------
# Copyright (c) 2021 megvii-model. All Rights Reserved.
# ------------------------------------------------------------------------
# Modified from BasicSR (https://github.com/xinntao/BasicSR)
# Copyright 2018-2020 BasicSR Authors
# -------------... | 36.570025 | 149 | 0.519417 |
061c644df1774e2a2a20f89e7fc34c528fd476bf | 1,942 | py | Python | model_zoo/research/cv/wideresnet/src/save_callback.py | LottieWang/mindspore | 1331c7e432fb691d1cfa625ab7cc7451dcfc7ce0 | [
"Apache-2.0"
] | null | null | null | model_zoo/research/cv/wideresnet/src/save_callback.py | LottieWang/mindspore | 1331c7e432fb691d1cfa625ab7cc7451dcfc7ce0 | [
"Apache-2.0"
] | null | null | null | model_zoo/research/cv/wideresnet/src/save_callback.py | LottieWang/mindspore | 1331c7e432fb691d1cfa625ab7cc7451dcfc7ce0 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 37.346154 | 96 | 0.652935 |
4e5e32c1b4c35b55968b457b7c8078977e43709d | 7,202 | py | Python | wit_transcriber.py | yshalsager/wit_transcriber | cb78089b6814f3a514f538117980807c378a16c3 | [
"MIT"
] | 7 | 2022-03-07T17:39:51.000Z | 2022-03-15T09:06:00.000Z | wit_transcriber.py | yshalsager/wit_transcriber | cb78089b6814f3a514f538117980807c378a16c3 | [
"MIT"
] | 1 | 2022-03-07T18:51:24.000Z | 2022-03-07T18:51:24.000Z | wit_transcriber.py | yshalsager/wit_transcriber | cb78089b6814f3a514f538117980807c378a16c3 | [
"MIT"
] | null | null | null | import json
import re
import traceback
from argparse import ArgumentParser
from asyncio import BoundedSemaphore, ensure_future, gather, run
from pathlib import Path
from typing import List, Tuple
from httpx import AsyncClient
from pydub import AudioSegment
from pydub.exceptions import CouldntDecodeError
from ratelimit... | 32.441441 | 105 | 0.567481 |
d670fcb6ea92eb4c484b5f727e47977c90a0b34a | 1,398 | py | Python | main.py | PrithaChakravarty/COVID-19-Tracker-with-Notification-System-using-Python | af41adc96a4813fa7fb5f4ec45a128b0f23dc1fc | [
"MIT"
] | 7 | 2020-07-14T18:24:22.000Z | 2020-08-13T01:55:09.000Z | main.py | PrithaChakravarty/COVID-19-Tracker-with-Notification-System-using-Python | af41adc96a4813fa7fb5f4ec45a128b0f23dc1fc | [
"MIT"
] | null | null | null | main.py | PrithaChakravarty/COVID-19-Tracker-with-Notification-System-using-Python | af41adc96a4813fa7fb5f4ec45a128b0f23dc1fc | [
"MIT"
] | null | null | null | from plyer import notification
import requests
from bs4 import BeautifulSoup
import time
def notifyMe(title, message):
notification.notify(
title = title,
message = message,
app_icon = "C:\\Users\\cprit\\Desktop\\COVIDNOTIFY\\icon.ico",
timeout = 4
)
def getData(... | 29.744681 | 155 | 0.548641 |
acf9dcfcd87620180de8d580ff63f4f41630f026 | 1,942 | py | Python | tests/python/test_off_resonance.py | aTrotier/sycomore | 32e438d3a90ca0a9d051bb6acff461e06079116d | [
"MIT"
] | 14 | 2019-11-06T09:23:09.000Z | 2022-01-11T19:08:36.000Z | tests/python/test_off_resonance.py | aTrotier/sycomore | 32e438d3a90ca0a9d051bb6acff461e06079116d | [
"MIT"
] | 2 | 2020-12-01T15:48:27.000Z | 2020-12-04T15:19:37.000Z | tests/python/test_off_resonance.py | aTrotier/sycomore | 32e438d3a90ca0a9d051bb6acff461e06079116d | [
"MIT"
] | 2 | 2020-08-12T04:36:36.000Z | 2021-05-27T13:17:34.000Z | import math
import os
import struct
import unittest
import sycomore
from sycomore.units import *
class TestOffResonance(unittest.TestCase):
def test_off_resonance(self):
species = sycomore.Species(0*Hz, 0*Hz, 0*um*um/ms)
m0 = sycomore.Magnetization(0, 0, 1)
pulse = sycomore.Pulse(90*deg, ... | 34.070175 | 83 | 0.629763 |
263e1561ded36f7b6199463dfeca29c801539cc0 | 3,907 | py | Python | kanmail/settings/constants.py | matbgn/Kanmail | 9d668583811a11fa120822f2c885489580990bf3 | [
"OpenSSL"
] | 12 | 2019-02-10T21:18:53.000Z | 2020-02-17T07:40:48.000Z | kanmail/settings/constants.py | matbgn/Kanmail | 9d668583811a11fa120822f2c885489580990bf3 | [
"OpenSSL"
] | 71 | 2017-11-17T07:13:02.000Z | 2020-04-03T15:25:43.000Z | kanmail/settings/constants.py | matbgn/Kanmail | 9d668583811a11fa120822f2c885489580990bf3 | [
"OpenSSL"
] | 1 | 2020-02-15T03:16:13.000Z | 2020-02-15T03:16:13.000Z | import platform
import sys
from os import environ, path
from uuid import uuid4
from click import get_app_dir
APP_NAME = 'Kanmail'
DEFAULT_WINDOW_WIDTH = 1400
DEFAULT_WINDOW_HEIGHT = 800
DEFAULT_WINDOW_LEFT = 0
DEFAULT_WINDOW_TOP = 0
SESSION_TOKEN = str(uuid4())
ALIAS_FOLDER_NAMES = ['inbox', 'sent', 'archive', '... | 27.907143 | 94 | 0.734579 |
5288bb662fac7f712882fc217fbcfca92e4a40d8 | 7,610 | py | Python | dist/ba_data/python/bastd/actor/zoomtext.py | Bartixxx32/Bombsquad-Ballistica-Modded-Server | 26d36f07a5b96702e4fbdf172c0d66671f1ee0bd | [
"MIT"
] | 317 | 2020-04-04T00:33:10.000Z | 2022-03-28T01:07:09.000Z | assets/src/ba_data/python/bastd/actor/zoomtext.py | Alshahriah/ballistica | 326f6677a0118667e93ce9034849622ebef706fa | [
"MIT"
] | 315 | 2020-04-04T22:33:10.000Z | 2022-03-31T22:50:02.000Z | assets/src/ba_data/python/bastd/actor/zoomtext.py | Alshahriah/ballistica | 326f6677a0118667e93ce9034849622ebef706fa | [
"MIT"
] | 97 | 2020-04-04T01:32:17.000Z | 2022-03-16T19:02:59.000Z | # Released under the MIT License. See LICENSE for details.
#
"""Defined Actor(s)."""
from __future__ import annotations
import random
from typing import TYPE_CHECKING
import ba
if TYPE_CHECKING:
from typing import Any, Union, Sequence
class ZoomText(ba.Actor):
"""Big Zooming Text.
Category: Gameplay ... | 38.434343 | 79 | 0.441787 |
e880412a0776b20fe506551c4ff0ec5318bb2951 | 17,944 | py | Python | deepsvfilter/cnns/mobilenet_v2/mobilenet.py | genieus/DeepSVFilter | 1c6bd4d6726b74456e88ffad6672deb96764ce1b | [
"MIT"
] | 7 | 2020-07-28T05:55:58.000Z | 2021-08-15T07:32:08.000Z | deepsvfilter/cnns/mobilenet_v2/mobilenet.py | genieus/DeepSVFilter | 1c6bd4d6726b74456e88ffad6672deb96764ce1b | [
"MIT"
] | 8 | 2020-11-13T17:52:02.000Z | 2022-03-12T00:50:09.000Z | deepsvfilter/cnns/mobilenet_v2/mobilenet.py | genieus/DeepSVFilter | 1c6bd4d6726b74456e88ffad6672deb96764ce1b | [
"MIT"
] | 5 | 2021-01-11T15:02:14.000Z | 2022-03-14T06:48:05.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.524229 | 80 | 0.686803 |
f21fc756719843ae1f24ed104bc2450e881cc86c | 33,067 | py | Python | rais/utilities/rais_information.py | rjazevedo/dados-unicamp | 4b77906d5348647dcdba1b8cb09f46d2cac53457 | [
"MIT"
] | null | null | null | rais/utilities/rais_information.py | rjazevedo/dados-unicamp | 4b77906d5348647dcdba1b8cb09f46d2cac53457 | [
"MIT"
] | null | null | null | rais/utilities/rais_information.py | rjazevedo/dados-unicamp | 4b77906d5348647dcdba1b8cb09f46d2cac53457 | [
"MIT"
] | null | null | null | from rais.verification import verification_functions
from rais.extract import cleaning_functions
# Return extension of original rais files from specified year
def get_extension(year):
if year <= 2010:
return 'TXT'
else:
return 'txt'
# Return a list with all columns from clean rais files
def ge... | 33.673116 | 77 | 0.443131 |
8186fe81319c922d8308a8dafc2e4b545e357c68 | 10,680 | py | Python | robotcar_gtmat.py | moschramm/netvlad-mult-domains | 9c35d6593b8c32248007d914d60a2944ca1c845d | [
"MIT"
] | 1 | 2021-05-20T06:28:51.000Z | 2021-05-20T06:28:51.000Z | robotcar_gtmat.py | moschramm/netvlad-mult-domains | 9c35d6593b8c32248007d914d60a2944ca1c845d | [
"MIT"
] | null | null | null | robotcar_gtmat.py | moschramm/netvlad-mult-domains | 9c35d6593b8c32248007d914d60a2944ca1c845d | [
"MIT"
] | null | null | null | """
A module used for building a dataset of day and night images.
This implementation is adopted from: https://github.com/Nanne/pytorch-NetVlad
The datasets are using images from the Oxford Robotcar Dataset
(https://robotcar-dataset.robots.ox.ac.uk/).
The image folders for the datasets should be placed in `root_dir`. ... | 36.701031 | 80 | 0.63324 |
d0d6c0e4811371c316aab24693be8e18002c28a9 | 1,310 | py | Python | src/sentry/middleware/proxy.py | seukjung/sentry-custom | c5f6bb2019aef3caff7f3e2b619f7a70f2b9b963 | [
"BSD-3-Clause"
] | 1 | 2021-08-10T06:07:13.000Z | 2021-08-10T06:07:13.000Z | src/sentry/middleware/proxy.py | seukjung/sentry-custom | c5f6bb2019aef3caff7f3e2b619f7a70f2b9b963 | [
"BSD-3-Clause"
] | 8 | 2019-12-28T23:49:55.000Z | 2022-03-02T04:34:18.000Z | src/sentry/middleware/proxy.py | seukjung/sentry-custom | c5f6bb2019aef3caff7f3e2b619f7a70f2b9b963 | [
"BSD-3-Clause"
] | 1 | 2017-04-08T04:09:18.000Z | 2017-04-08T04:09:18.000Z | from __future__ import absolute_import
import six
from django.conf import settings
class SetRemoteAddrFromForwardedFor(object):
def __init__(self):
if not getattr(settings, 'SENTRY_USE_X_FORWARDED_FOR', True):
from django.core.exceptions import MiddlewareNotUsed
raise MiddlewareN... | 31.190476 | 77 | 0.638168 |
0fc9217b364f8226406c7dbe226e23b6390cdfb7 | 1,717 | py | Python | sdk/python/pulumi_azure_nextgen/containerservice/v20200601/__init__.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/containerservice/v20200601/__init__.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/containerservice/v20200601/__init__.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
# Export this package's modules as members:
from ._enums import *
from .agent_pool import *
from .get_agent_pool import *
from .get_managed_cluster imp... | 38.155556 | 108 | 0.723355 |
09a59a540348d63b6f18bff8097a3963cbc201cc | 7,425 | py | Python | 2020/Day20.py | hrmorley34/AdventofCode | 74590422717fb5c6b80ef3fca226359d354c4aec | [
"MIT"
] | null | null | null | 2020/Day20.py | hrmorley34/AdventofCode | 74590422717fb5c6b80ef3fca226359d354c4aec | [
"MIT"
] | null | null | null | 2020/Day20.py | hrmorley34/AdventofCode | 74590422717fb5c6b80ef3fca226359d354c4aec | [
"MIT"
] | null | null | null | from puzzle_input import puzzle_input
from collections import defaultdict, Counter
class Tile:
def __init__(self, text: str):
id, *lines = text.splitlines()
self.id = int(id[5:-1])
self.lines = lines[:10]
def __repr__(self):
return "Tile(\n {}\n)".format("\n ".join(self.line... | 29.581673 | 82 | 0.490101 |
9081a462d136d7e6fcd259673c64969d9161fbf4 | 6,365 | py | Python | datasets/yoruba_gv_ner/yoruba_gv_ner.py | hemildesai/datasets | 69bc2ca01d3a4f599c5b56175046f21e88aaab07 | [
"Apache-2.0"
] | 1 | 2021-08-28T15:39:03.000Z | 2021-08-28T15:39:03.000Z | datasets/yoruba_gv_ner/yoruba_gv_ner.py | hemildesai/datasets | 69bc2ca01d3a4f599c5b56175046f21e88aaab07 | [
"Apache-2.0"
] | null | null | null | datasets/yoruba_gv_ner/yoruba_gv_ner.py | hemildesai/datasets | 69bc2ca01d3a4f599c5b56175046f21e88aaab07 | [
"Apache-2.0"
] | 1 | 2021-04-15T16:27:33.000Z | 2021-04-15T16:27:33.000Z | # coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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/lice... | 39.04908 | 120 | 0.583032 |
ed7d095a89a8d338933a9e1dce8d84602f4549cb | 2,610 | py | Python | All Python Codes/2017-25-11-so-cross-validation-sklearn.py | bjfisica/MachineLearning | 20349301ae7f82cd5048410b0cf1f7a5f7d7e5a2 | [
"MIT"
] | 52 | 2019-02-15T16:37:13.000Z | 2022-02-17T18:34:30.000Z | All Python Codes/2017-25-11-so-cross-validation-sklearn.py | RodeoBlues/Complete-Data-Science-Toolkits | c5e83889e24af825ec3baed6e8198debb135f1ff | [
"MIT"
] | null | null | null | All Python Codes/2017-25-11-so-cross-validation-sklearn.py | RodeoBlues/Complete-Data-Science-Toolkits | c5e83889e24af825ec3baed6e8198debb135f1ff | [
"MIT"
] | 22 | 2019-02-25T23:52:09.000Z | 2021-09-21T03:09:35.000Z |
# coding: utf-8
# ## Cross Validation
# First, we'll try to build a model without cross-validation apply to it. Second, we'll use the same model with applying cross-validation and see if the accuracy score changed or not.
#
# ### Main contents:
# * Build Support-Vector-Machine without cross-validation
# * Apply the ... | 24.622642 | 245 | 0.729502 |
00249a6df6cf09856767b75eaedd9ec44b274d04 | 1,451 | py | Python | kupcimat/tello.py | kupcimat/tello | 3626a1122a17ede0031450946b9c7084531cd004 | [
"MIT"
] | null | null | null | kupcimat/tello.py | kupcimat/tello | 3626a1122a17ede0031450946b9c7084531cd004 | [
"MIT"
] | null | null | null | kupcimat/tello.py | kupcimat/tello | 3626a1122a17ede0031450946b9c7084531cd004 | [
"MIT"
] | null | null | null | import logging
import threading
from socket import socket
from typing import Tuple
import kupcimat.video as video
def tello_timeout() -> int:
return 5
def tello_address() -> Tuple[str, int]:
return "192.168.10.1", 8889
def send_cmd(cmd_socket: socket, command: str) -> None:
logging.info("action=send-... | 28.45098 | 78 | 0.627154 |
bc1d4605e985abacb9003e85122d4f20a17eff50 | 22,311 | py | Python | pandas/tests/frame/methods/test_quantile.py | Pawel-Kranzberg/pandas | 6f90cb3d7bd5891d15a427252fba00027ca6084d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-07-08T15:15:57.000Z | 2021-07-08T15:15:57.000Z | pandas/tests/frame/methods/test_quantile.py | Pawel-Kranzberg/pandas | 6f90cb3d7bd5891d15a427252fba00027ca6084d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/tests/frame/methods/test_quantile.py | Pawel-Kranzberg/pandas | 6f90cb3d7bd5891d15a427252fba00027ca6084d | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-04-13T01:05:52.000Z | 2021-04-13T01:05:52.000Z | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
Timestamp,
)
import pandas._testing as tm
class TestDataFrameQuantile:
@pytest.mark.parametrize(
"df,expected",
[
[
DataFrame(
{
... | 34.166922 | 88 | 0.509614 |
c348c392e50a9d7622d491b50f4df9a00931ef34 | 1,990 | py | Python | cogdl/data/dataloader.py | li-ziang/cogdl | 60022d3334e3abae2d2a505e6e049a26acf10f39 | [
"MIT"
] | 1,072 | 2019-08-02T05:46:21.000Z | 2022-03-31T07:51:53.000Z | cogdl/data/dataloader.py | li-ziang/cogdl | 60022d3334e3abae2d2a505e6e049a26acf10f39 | [
"MIT"
] | 96 | 2019-08-05T17:27:22.000Z | 2022-03-03T08:36:57.000Z | cogdl/data/dataloader.py | li-ziang/cogdl | 60022d3334e3abae2d2a505e6e049a26acf10f39 | [
"MIT"
] | 299 | 2019-08-08T07:33:10.000Z | 2022-03-31T09:30:07.000Z | from abc import ABCMeta
import torch.utils.data
from torch.utils.data.dataloader import default_collate
from cogdl.data import Batch, Graph
try:
from typing import GenericMeta # python 3.6
except ImportError:
# in 3.7, genericmeta doesn't exist but we don't need it
class GenericMeta(type):
pass
... | 30.151515 | 81 | 0.649246 |
4d87990cb3b6051fe0bea5f8abc4a1f8651ebb9b | 155 | py | Python | pyslabs/__main__.py | grnydawn/pyslabs | c3732e8d4b58ba58d6e21a7ca99a375b5588a44f | [
"Apache-2.0"
] | null | null | null | pyslabs/__main__.py | grnydawn/pyslabs | c3732e8d4b58ba58d6e21a7ca99a375b5588a44f | [
"Apache-2.0"
] | null | null | null | pyslabs/__main__.py | grnydawn/pyslabs | c3732e8d4b58ba58d6e21a7ca99a375b5588a44f | [
"Apache-2.0"
] | null | null | null | """main entry for pyslabs command-line interface"""
if __name__ == "__main__":
import sys
from pyslabs.command import main
sys.exit(main())
| 17.222222 | 51 | 0.677419 |
0c516994e5e6d14e61b454cc835d817b7dcd1b61 | 33,710 | py | Python | podcastparser.py | drmikecrowe/podcastparser | 6a70361edbb5c6a263dfe1871dad05d7e3506b7c | [
"0BSD"
] | 87 | 2015-01-11T18:37:54.000Z | 2022-03-29T04:58:52.000Z | podcastparser.py | Ryochan7/alpha-podcastparser | 6a70361edbb5c6a263dfe1871dad05d7e3506b7c | [
"0BSD"
] | 25 | 2016-12-29T14:17:52.000Z | 2022-01-16T20:10:48.000Z | podcastparser.py | Ryochan7/alpha-podcastparser | 6a70361edbb5c6a263dfe1871dad05d7e3506b7c | [
"0BSD"
] | 32 | 2015-02-15T11:59:44.000Z | 2021-12-27T10:31:21.000Z | # -*- coding: utf-8 -*-
#
# Podcastparser: A simple, fast and efficient podcast parser
# Copyright (c) 2012, 2013, 2014, 2018, 2020 Thomas Perl <m@thp.io>
# Copyright (c) 2016, 2017, 2018, 2019, 2020 Eric Le Lay <elelay@macports.org>
# Copyright (c) 2020 E.S. Rosenberg <es.rosenberg+openu@gmail.com>
#
# Permission to u... | 32.444658 | 111 | 0.619519 |
b45e73d53169f6e51ebee1dce42c9db8c8da50c0 | 403 | py | Python | paas-ce/websocket/control/migrations/0022_auto_20200915_1814.py | kerven88/opsany-paas | 78b83d0b6a46f3e70226ca99992d736b2af0af72 | [
"Apache-2.0"
] | 42 | 2021-06-16T12:06:03.000Z | 2022-03-29T13:18:00.000Z | paas-ce/websocket/control/migrations/0022_auto_20200915_1814.py | kerven88/opsany-paas | 78b83d0b6a46f3e70226ca99992d736b2af0af72 | [
"Apache-2.0"
] | null | null | null | paas-ce/websocket/control/migrations/0022_auto_20200915_1814.py | kerven88/opsany-paas | 78b83d0b6a46f3e70226ca99992d736b2af0af72 | [
"Apache-2.0"
] | 16 | 2021-07-13T01:17:57.000Z | 2022-03-01T12:39:32.000Z | # Generated by Django 2.2.6 on 2020-09-15 18:14
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('control', '0021_agentadmin_show_name'),
]
operations = [
migrations.AlterField(
model_name='hostgroup',
name='name',... | 21.210526 | 64 | 0.60794 |
09b234ef0da954c393b541a97de76247766f579a | 17,877 | py | Python | huiqin/keras_cls_novec_v4.py | RandLive/Avito-Demand-Prediction-Challenge | eb2955c6cb799907071d8bbf7b31b73b163c604f | [
"MIT"
] | null | null | null | huiqin/keras_cls_novec_v4.py | RandLive/Avito-Demand-Prediction-Challenge | eb2955c6cb799907071d8bbf7b31b73b163c604f | [
"MIT"
] | null | null | null | huiqin/keras_cls_novec_v4.py | RandLive/Avito-Demand-Prediction-Challenge | eb2955c6cb799907071d8bbf7b31b73b163c604f | [
"MIT"
] | null | null | null | '''
keras 初始版本
不使用词嵌入方式处理输入的文本信息
lb 0.2280
'''
import time
notebookstart = time.time()
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE... | 37.321503 | 156 | 0.676791 |
b4322c6335408dac20178777af6bf2c056248daa | 4,329 | py | Python | gluon/contrib/pymysql/err.py | oscarfonts/web2py | a18e0e489fe7a770c62fca510a4299886b0a9bb7 | [
"BSD-3-Clause"
] | 97 | 2015-01-17T09:41:57.000Z | 2022-03-15T11:39:03.000Z | gluon/contrib/pymysql/err.py | mohit3011/Quiz-Mate | 17988a623abde439aef2b43fc8dc3162b5cae15e | [
"BSD-3-Clause"
] | 1,054 | 2015-09-11T06:51:27.000Z | 2022-03-30T09:46:54.000Z | gluon/contrib/pymysql/err.py | mohit3011/Quiz-Mate | 17988a623abde439aef2b43fc8dc3162b5cae15e | [
"BSD-3-Clause"
] | 80 | 2015-12-09T12:41:52.000Z | 2022-02-16T11:46:42.000Z | import struct
try:
StandardError, Warning
except ImportError:
try:
from exceptions import StandardError, Warning
except ImportError:
import sys
e = sys.modules['exceptions']
StandardError = e.StandardError
Warning = e.Warning
from constants import ER
import sys... | 29.25 | 80 | 0.711943 |
0b625d2db9864018cadc237f694803509481371b | 18,058 | py | Python | diofant/tests/tensor/test_arrayop.py | diofant/omg | 72fd45f832240d1ded6f0a411e97bb9f7aa9f1d2 | [
"BSD-3-Clause"
] | 57 | 2016-09-13T23:16:26.000Z | 2022-03-29T06:45:51.000Z | diofant/tests/tensor/test_arrayop.py | diofant/omg | 72fd45f832240d1ded6f0a411e97bb9f7aa9f1d2 | [
"BSD-3-Clause"
] | 402 | 2016-05-11T11:11:47.000Z | 2022-03-31T14:27:02.000Z | diofant/tests/tensor/test_arrayop.py | diofant/omg | 72fd45f832240d1ded6f0a411e97bb9f7aa9f1d2 | [
"BSD-3-Clause"
] | 20 | 2016-05-11T08:17:37.000Z | 2021-09-10T09:15:51.000Z | import random
import pytest
from diofant import (Array, Derivative, Permutation, adjoint, conjugate, cos,
derive_by_array, exp, log, permutedims, sin, symbols,
tensorcontraction, tensorproduct, transpose)
from diofant.abc import (a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p... | 70.264591 | 1,435 | 0.377063 |
6dffce5a2096fdf8ab87cdf6e45ee8254b0aa475 | 1,047 | py | Python | gmprocess/metrics/imt/fas.py | norfordb/groundmotion | 3f714894a34d9d37e1ac236f26b4366e25a05056 | [
"CC0-1.0"
] | 1 | 2019-08-16T16:11:23.000Z | 2019-08-16T16:11:23.000Z | gmprocess/metrics/imt/fas.py | vinceq-usgs/gmprocess | 2812dfd1803f8b2e0622c56cd8373b1c3fedb1a6 | [
"CC0-1.0"
] | null | null | null | gmprocess/metrics/imt/fas.py | vinceq-usgs/gmprocess | 2812dfd1803f8b2e0622c56cd8373b1c3fedb1a6 | [
"CC0-1.0"
] | null | null | null | # Local imports
from gmprocess.metrics.gather import gather_pgms
from gmprocess.metrics.imt.imt import IMT
imts, imcs = gather_pgms()
valid_imcs = ['geometric_mean', 'arithmetic_mean', 'quadratic_mean']
class FAS(IMT):
"""Class defining steps and invalid imts, for fourier amplitude spectra."""
# making inva... | 32.71875 | 79 | 0.633238 |
9c0335c2e8ab5db4346a8949d7f1911806e93a53 | 6,887 | py | Python | tests/scripts/thread-cert/Cert_5_6_03_NetworkDataRegisterAfterAttachLeader.py | sarah-iot/openthread | 8210a02400c145eb862b65e32040ed0415ba36c2 | [
"BSD-3-Clause"
] | 69 | 2021-12-16T01:34:09.000Z | 2022-03-31T08:27:39.000Z | tests/scripts/thread-cert/Cert_5_6_03_NetworkDataRegisterAfterAttachLeader.py | xuyirio/openthread | 349041bc61e899acdccefea455c3401c05e1318b | [
"BSD-3-Clause"
] | 6 | 2022-01-12T18:22:08.000Z | 2022-03-25T10:19:27.000Z | tests/scripts/thread-cert/Cert_5_6_03_NetworkDataRegisterAfterAttachLeader.py | xuyirio/openthread | 349041bc61e899acdccefea455c3401c05e1318b | [
"BSD-3-Clause"
] | 21 | 2021-12-20T09:05:45.000Z | 2022-03-28T02:52:28.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2016, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# ... | 44.147436 | 336 | 0.65689 |
bf7044421f7a1e9e5b439c95d430662dba3dd702 | 12,520 | py | Python | main.py | FortniteFevers/peely-api | 37824b298d0045d368390e6a5f335d003176db91 | [
"CC0-1.0"
] | 5 | 2020-11-06T07:41:41.000Z | 2020-12-13T14:54:25.000Z | main.py | pirica/peely-api | 37824b298d0045d368390e6a5f335d003176db91 | [
"CC0-1.0"
] | 2 | 2020-11-21T11:33:20.000Z | 2021-01-31T18:00:14.000Z | main.py | pirica/peely-api | 37824b298d0045d368390e6a5f335d003176db91 | [
"CC0-1.0"
] | 10 | 2020-11-20T22:22:26.000Z | 2021-06-22T21:17:40.000Z | import asyncio
import json
import subprocess
import sys
import traceback
import aiofiles
import aiohttp
import sanic
import sanic.response
from discord.ext import commands, tasks
from datetime import datetime
import SECRET
from API.cdn import handler as cdn
from API.v1.blogposts.competitive import handler as competit... | 39.620253 | 146 | 0.548163 |
305cea3a4413e1b90db5987814f0403129ab297c | 839 | py | Python | api/models.py | RahulML2505/My-Django-App | 57c93b1cbfd95e298d33bb2b2b632ee65533113d | [
"MIT"
] | null | null | null | api/models.py | RahulML2505/My-Django-App | 57c93b1cbfd95e298d33bb2b2b632ee65533113d | [
"MIT"
] | null | null | null | api/models.py | RahulML2505/My-Django-App | 57c93b1cbfd95e298d33bb2b2b632ee65533113d | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class Member(models.Model):
Id = models.AutoField(primary_key=True, null=False)
Name = models.CharField(max_length=500, null=False)
Membership = models.CharField(max_length=500, null=False)
ExperianceType = models.CharField(max_length=500, null=F... | 38.136364 | 83 | 0.740167 |
57726238a726062ef9d9a57c6ea06ef68e7c1d95 | 2,523 | py | Python | c3po/utils.py | GuoJing/c3po-grpc-gateway | 2fd6c2d872b27e7b4acb5186787de7591b958fdd | [
"MIT"
] | 1 | 2016-04-28T12:49:21.000Z | 2016-04-28T12:49:21.000Z | c3po/utils.py | GuoJing/c3po-grpc-gateway | 2fd6c2d872b27e7b4acb5186787de7591b958fdd | [
"MIT"
] | null | null | null | c3po/utils.py | GuoJing/c3po-grpc-gateway | 2fd6c2d872b27e7b4acb5186787de7591b958fdd | [
"MIT"
] | null | null | null | import json
import sys
import imp
import importlib
from google.protobuf import json_format
from google.protobuf import descriptor_pb2
class ProtoParseException(Exception):
pass
class ParseException(Exception):
pass
def dynamic_client_getter(stubs, service_name):
stub = stubs.get(service_name)
if ... | 28.670455 | 89 | 0.628617 |
a309332266761533050f448ac3ace9d65632dc02 | 9,382 | py | Python | allennlp/data/token_indexers/pretrained_transformer_indexer.py | justindujardin/allennlp | c4559f3751775aa8bc018db417edc119d29d8051 | [
"Apache-2.0"
] | 1 | 2020-09-19T07:09:27.000Z | 2020-09-19T07:09:27.000Z | allennlp/data/token_indexers/pretrained_transformer_indexer.py | justindujardin/allennlp | c4559f3751775aa8bc018db417edc119d29d8051 | [
"Apache-2.0"
] | null | null | null | allennlp/data/token_indexers/pretrained_transformer_indexer.py | justindujardin/allennlp | c4559f3751775aa8bc018db417edc119d29d8051 | [
"Apache-2.0"
] | 1 | 2020-03-01T13:01:34.000Z | 2020-03-01T13:01:34.000Z | from typing import Dict, List, Optional, Tuple
import logging
import torch
from allennlp.common.util import pad_sequence_to_length
from overrides import overrides
from allennlp.data.vocabulary import Vocabulary
from allennlp.data.tokenizers import PretrainedTransformerTokenizer
from allennlp.data.tokenizers.token imp... | 44.254717 | 111 | 0.637391 |
4ab7e8daafd4ba25a2ca68b4b6f425faf36a8d0f | 35,692 | py | Python | python/EStestunitaire.py | anne-locolabs/Environnemental-Sensing | aae3b877ee3c49f0f4ee605d891663a9b9769c4c | [
"MIT"
] | null | null | null | python/EStestunitaire.py | anne-locolabs/Environnemental-Sensing | aae3b877ee3c49f0f4ee605d891663a9b9769c4c | [
"MIT"
] | null | null | null | python/EStestunitaire.py | anne-locolabs/Environnemental-Sensing | aae3b877ee3c49f0f4ee605d891663a9b9769c4c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 1 22:05:08 2021
@author: Philippe@loco-labs.io
The `ES.EStestunitaire` module contains the unit tests (class unittest) for all the
Environmental Sensing functions.
"""
import unittest
#import os
#os.chdir('C:/Users/a179227/OneDrive - Alliance/perso Wx/ES standard/pyth... | 55.943574 | 147 | 0.598734 |
c9a8e90789eb01c20c49d1e946ea2e52300449e7 | 2,253 | py | Python | conviz/visualizer.py | PhTrempe/conviz | b0d5a3a357ed013223847bcea5fa0df46e44de02 | [
"MIT"
] | null | null | null | conviz/visualizer.py | PhTrempe/conviz | b0d5a3a357ed013223847bcea5fa0df46e44de02 | [
"MIT"
] | null | null | null | conviz/visualizer.py | PhTrempe/conviz | b0d5a3a357ed013223847bcea5fa0df46e44de02 | [
"MIT"
] | null | null | null | import numpy
from PIL import Image
from conviz.gradient_ascent_optimizer import GradientAscentOptimizer
from conviz.utils.image_util import ImageUtil
class Visualizer(object):
"""
A convolutional filter visualizer.
Sample use:
>>> from keras.models import load_model
>>> model = load_... | 37.55 | 77 | 0.662228 |
8f85e5c8253ce887d5d97a3c5eca3cf5e857ebff | 2,036 | py | Python | utils/components/scoreSubTreeWidget.py | chlwodud77/student-assesment-manager | 48808c9cf7e81bc240938b097dbb04e5e941e6a6 | [
"Apache-2.0"
] | null | null | null | utils/components/scoreSubTreeWidget.py | chlwodud77/student-assesment-manager | 48808c9cf7e81bc240938b097dbb04e5e941e6a6 | [
"Apache-2.0"
] | 6 | 2020-08-01T17:25:01.000Z | 2022-02-09T03:21:22.000Z | utils/components/scoreSubTreeWidget.py | chlwodud77/student-assesment-manager | 48808c9cf7e81bc240938b097dbb04e5e941e6a6 | [
"Apache-2.0"
] | null | null | null | from PyQt5 import QtGui
from PyQt5.QtWidgets import QTreeWidget, QMessageBox, QProgressBar
from tqdm import tqdm
from model import Score as Sc
from utils import copyManager
from utils.adapter import subjectTreeWidgetAdapter
class ScoreSubTreeWidget(QTreeWidget):
def __init__(self):
QTreeWidget.__init__(... | 45.244444 | 120 | 0.602161 |
a844cd13a283c5f00df386cc89a719d3c7e67395 | 1,419 | py | Python | lib/galaxy/datatypes/flow.py | rhpvorderman/galaxy | 178015f8eff0b0c7a59c0d6756658f6428222837 | [
"CC-BY-3.0"
] | 47 | 2015-10-21T23:30:30.000Z | 2022-03-09T06:51:32.000Z | lib/galaxy/datatypes/flow.py | rhpvorderman/galaxy | 178015f8eff0b0c7a59c0d6756658f6428222837 | [
"CC-BY-3.0"
] | 78 | 2019-01-18T08:12:49.000Z | 2022-03-13T08:56:41.000Z | lib/galaxy/datatypes/flow.py | rhpvorderman/galaxy | 178015f8eff0b0c7a59c0d6756658f6428222837 | [
"CC-BY-3.0"
] | 35 | 2015-10-30T13:09:40.000Z | 2021-05-03T23:17:46.000Z | """
Flow analysis datatypes.
"""
import logging
from galaxy.datatypes.binary import Binary
from galaxy.datatypes.sniff import build_sniff_from_prefix
from . import data
log = logging.getLogger(__name__)
@build_sniff_from_prefix
class FCS(Binary):
"""Class describing an FCS binary file"""
file_ext = "fcs"
... | 28.38 | 99 | 0.618041 |
9fea504cb6180f6aed260311dbac47a297686c04 | 7,369 | py | Python | app/libs/sql/database_wrapper.py | regg00/docker-xmedius-adsync | 738bdb82d37173c9363d69c8148a95c43043aeba | [
"MIT"
] | null | null | null | app/libs/sql/database_wrapper.py | regg00/docker-xmedius-adsync | 738bdb82d37173c9363d69c8148a95c43043aeba | [
"MIT"
] | null | null | null | app/libs/sql/database_wrapper.py | regg00/docker-xmedius-adsync | 738bdb82d37173c9363d69c8148a95c43043aeba | [
"MIT"
] | null | null | null | #////////////////////////////////////////////////////////////////////////////
# Copyright (c) 2012 Sagemcom Canada Permission to use this work
# for any purpose must be obtained in writing from Sagemcom Canada
# 5252 de Maisonneuve Blvd. West, suite 400, Montreal, Quebec H4A 3S5
#///////////////////////////////////////... | 36.845 | 161 | 0.64215 |
49ff0f229fd1baef08cb9f31d5a6703b2fbd8ff3 | 1,036 | py | Python | representation/CC2Vec/lmg_cc2ftr_interface.py | Trustworthy-Software/BATS | eb122150dff61543bd8c88ac7e08987a0a3e47e0 | [
"MIT"
] | 1 | 2022-03-17T13:17:35.000Z | 2022-03-17T13:17:35.000Z | representation/CC2Vec/lmg_cc2ftr_interface.py | HaoyeTianCoder/BATS | eb122150dff61543bd8c88ac7e08987a0a3e47e0 | [
"MIT"
] | null | null | null | representation/CC2Vec/lmg_cc2ftr_interface.py | HaoyeTianCoder/BATS | eb122150dff61543bd8c88ac7e08987a0a3e47e0 | [
"MIT"
] | null | null | null | from representation.CC2Vec.lmg_cli import read_args_lmg, get_patch_cc2v, extracted_cc2ftr
from representation.CC2Vec.lmg_padding import processing_data
import pickle
def learned_feature(patch_file, load_model='cc2ftr.pt',
dictionary=None):
params = read_args_lmg().parse_args()
para... | 41.44 | 164 | 0.732625 |
ccce7678e3e3bff7184a6ad3087694d765f5b4c2 | 845 | py | Python | landlab/plot/tests/test_channel_profile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | null | null | null | landlab/plot/tests/test_channel_profile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | 1 | 2016-03-16T02:34:08.000Z | 2016-04-20T19:31:30.000Z | landlab/plot/tests/test_channel_profile.py | cctrunz/landlab | 4e4ef12f4bae82bc5194f1dcc9af8ff1a7c20939 | [
"MIT"
] | null | null | null | import pytest
from landlab import RasterModelGrid
from landlab.components import FlowAccumulator
from landlab.plot import analyze_channel_network_and_plot
from landlab.plot.channel_profile import channel_nodes
def test_route_to_multiple_error_raised():
mg = RasterModelGrid((10, 10))
z = mg.add_zeros("node", ... | 30.178571 | 57 | 0.700592 |
74b306acd552336700e397e4f03c9f2060f7285f | 8,264 | py | Python | tema5/function_aproximator/deep.py | oscarramos2001/Oscar-Marino-Ramos | c05e497b467aab4572f3578f1b9068d4585106d2 | [
"MIT"
] | 112 | 2018-11-19T17:23:40.000Z | 2022-03-29T05:36:14.000Z | tema5/function_aproximator/deep.py | BrujitoOz/ia-course | c05e497b467aab4572f3578f1b9068d4585106d2 | [
"MIT"
] | null | null | null | tema5/function_aproximator/deep.py | BrujitoOz/ia-course | c05e497b467aab4572f3578f1b9068d4585106d2 | [
"MIT"
] | 187 | 2018-11-28T11:38:02.000Z | 2022-03-16T11:18:39.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 8 11:17:49 2018
@author: juangabriel
"""
import torch
class DeepActor(torch.nn.Module):
def __init__(self, input_shape, output_shape, device = torch.device("cpu")):
"""
Una red neuronal convolucional profunda que produci... | 47.768786 | 149 | 0.580348 |
f60e007538abd7b8b1ca8e2fc7c69d486fb7f447 | 55,980 | py | Python | tests/test_parser.py | hewei198711/httprunner2.5.7 | fb4ca1abd9c50b3cef288adf29cce3217c7d8e91 | [
"Apache-2.0"
] | null | null | null | tests/test_parser.py | hewei198711/httprunner2.5.7 | fb4ca1abd9c50b3cef288adf29cce3217c7d8e91 | [
"Apache-2.0"
] | null | null | null | tests/test_parser.py | hewei198711/httprunner2.5.7 | fb4ca1abd9c50b3cef288adf29cce3217c7d8e91 | [
"Apache-2.0"
] | null | null | null | import os
import time
import unittest
from prettyprinter import pprint
from httprunner import exceptions, loader, parser
from httprunner.loader import load
from tests.debugtalk import gen_random_string, sum_two
class TestParserBasic(unittest.TestCase):
def test_parse_string_value(self):
self.assertEqua... | 38.983287 | 146 | 0.521901 |
e6e1772a5ab3480cb0adc4d1d7ca7576f4bef746 | 7,092 | py | Python | src/main/python/watson_assistant_func.py | MagnusToy/assistant-improve-recommendations-notebook | 1a529dde93dc3fdbc90e0a78a1873c42c036785d | [
"Apache-2.0"
] | null | null | null | src/main/python/watson_assistant_func.py | MagnusToy/assistant-improve-recommendations-notebook | 1a529dde93dc3fdbc90e0a78a1873c42c036785d | [
"Apache-2.0"
] | null | null | null | src/main/python/watson_assistant_func.py | MagnusToy/assistant-improve-recommendations-notebook | 1a529dde93dc3fdbc90e0a78a1873c42c036785d | [
"Apache-2.0"
] | null | null | null | import re
import json
import pandas as pd
import time
#from watson_developer_cloud import WatsonApiException
#from ibm_watson import WatsonApiException
from ibm_watson import ApiException
import os
def get_logs(num_logs, log_list, project_creds, log_filter=None):
"""This function calls Watson Assistant API to ret... | 46.051948 | 120 | 0.605048 |
9e76e34c5a4adc58e8f551ede72bd579e5696dc1 | 35,561 | py | Python | ai4water/hyperopt/utils.py | csiro-hydroinformatics/AI4Water | cdb18bd4bf298f77b381f1829045a1e790146985 | [
"MIT"
] | 12 | 2020-10-13T08:23:17.000Z | 2021-01-22T04:36:21.000Z | ai4water/hyperopt/utils.py | csiro-hydroinformatics/AI4Water | cdb18bd4bf298f77b381f1829045a1e790146985 | [
"MIT"
] | 1 | 2020-10-15T02:42:52.000Z | 2020-10-15T02:51:07.000Z | ai4water/hyperopt/utils.py | csiro-hydroinformatics/AI4Water | cdb18bd4bf298f77b381f1829045a1e790146985 | [
"MIT"
] | 2 | 2020-11-23T04:45:38.000Z | 2020-11-26T10:12:34.000Z | import os
import json
from itertools import islice
from pickle import PicklingError
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
try:
from hyperopt import space_eval, hp
from hyperopt.base import miscs_to_idxs_vals # todo main_plot_1D_attachment
except Impor... | 33.77113 | 123 | 0.571609 |
5b291841f816da0298a2bd65047bdf70fba30735 | 210 | py | Python | Mourse_courses/api_views.py | DarishkaAMS/Django_Projects-Mourse_catalog | d11606bc75b6887a260236a6546a4ea3ce050088 | [
"MIT"
] | null | null | null | Mourse_courses/api_views.py | DarishkaAMS/Django_Projects-Mourse_catalog | d11606bc75b6887a260236a6546a4ea3ce050088 | [
"MIT"
] | null | null | null | Mourse_courses/api_views.py | DarishkaAMS/Django_Projects-Mourse_catalog | d11606bc75b6887a260236a6546a4ea3ce050088 | [
"MIT"
] | null | null | null | from django.http import JsonResponse
from my_mourse.models import Mourse
def home_page_view(request):
my_title = "Welcome to Mourse Courses"
data = {"title": my_title}
return JsonResponse(data)
| 19.090909 | 42 | 0.742857 |
b59321b202862b91ce6a3bf8fd055eb77d9a4976 | 1,496 | py | Python | stac_pydantic/collection.py | tesselo/stac-pydantic | 9a5a6534b9fe48b0106317e1a6fc5a09bf95a27b | [
"MIT"
] | 14 | 2021-05-19T19:06:01.000Z | 2022-03-24T11:41:10.000Z | stac_pydantic/collection.py | tesselo/stac-pydantic | 9a5a6534b9fe48b0106317e1a6fc5a09bf95a27b | [
"MIT"
] | 43 | 2020-05-20T23:42:30.000Z | 2021-03-02T19:40:20.000Z | stac_pydantic/collection.py | tesselo/stac-pydantic | 9a5a6534b9fe48b0106317e1a6fc5a09bf95a27b | [
"MIT"
] | 7 | 2021-04-16T12:55:15.000Z | 2022-03-01T19:09:25.000Z | from typing import Any, Dict, List, Optional, Union
from pydantic import BaseModel, Field, constr
from stac_pydantic.catalog import Catalog
from stac_pydantic.shared import Asset, NumType, Provider
class SpatialExtent(BaseModel):
"""
https://github.com/radiantearth/stac-spec/blob/v1.0.0/collection-spec/coll... | 26.714286 | 115 | 0.706551 |
e712aa9ab0e01b98b82f373f151a0ec5f2dbcc9e | 1,059 | py | Python | libscampi/contrib/cms/communism/templatetags/google.py | azpm/django-scampi-cms | 33fa5786cc93f4c6aff14c9bb6306ac32c6cd486 | [
"BSD-3-Clause"
] | 2 | 2016-07-28T19:39:49.000Z | 2021-12-10T15:01:54.000Z | libscampi/contrib/cms/communism/templatetags/google.py | azpm/django-scampi-cms | 33fa5786cc93f4c6aff14c9bb6306ac32c6cd486 | [
"BSD-3-Clause"
] | null | null | null | libscampi/contrib/cms/communism/templatetags/google.py | azpm/django-scampi-cms | 33fa5786cc93f4c6aff14c9bb6306ac32c6cd486 | [
"BSD-3-Clause"
] | 1 | 2016-01-20T23:49:36.000Z | 2016-01-20T23:49:36.000Z | from django import template
from django.utils.encoding import force_unicode
from classytags.core import Tag, Options
from classytags.arguments import Argument
register = template.Library()
class Urchin(Tag):
name = "urchin"
options = Options(
Argument('google_id',required=True, resolve=True)
)
... | 34.16129 | 138 | 0.611898 |
c075903f7b64b0383f641d22109c003123a2e338 | 15,000 | py | Python | parts/features.py | AdrianDrechsel/nvidia-jasper-german | b6f0dd5d74b8f1961573034d99a7278322babd3f | [
"Apache-2.0"
] | 11 | 2020-01-29T23:17:55.000Z | 2022-02-09T10:40:16.000Z | parts/features.py | AdrianDrechsel/nvidia-jasper-german | b6f0dd5d74b8f1961573034d99a7278322babd3f | [
"Apache-2.0"
] | null | null | null | parts/features.py | AdrianDrechsel/nvidia-jasper-german | b6f0dd5d74b8f1961573034d99a7278322babd3f | [
"Apache-2.0"
] | 1 | 2021-05-04T16:10:10.000Z | 2021-05-04T16:10:10.000Z | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | 40.76087 | 176 | 0.5866 |
7df57df66e3331c995bdb3f807458e368ec89fe3 | 3,521 | py | Python | xlsxwriter/test/worksheet/test_write_page_margins.py | DeltaEpsilon7787/XlsxWriter | 550b9c5bd678c861dcc9f6f4072b33a69566e065 | [
"BSD-2-Clause-FreeBSD"
] | 2,766 | 2015-01-02T17:36:42.000Z | 2022-03-31T09:23:30.000Z | xlsxwriter/test/worksheet/test_write_page_margins.py | DeltaEpsilon7787/XlsxWriter | 550b9c5bd678c861dcc9f6f4072b33a69566e065 | [
"BSD-2-Clause-FreeBSD"
] | 683 | 2015-01-03T09:55:02.000Z | 2022-03-31T07:18:15.000Z | xlsxwriter/test/worksheet/test_write_page_margins.py | jmcnamara/test_py_github_actions | d445d5d98b038b63453dd70c9c1a9ca1b325cb47 | [
"BSD-2-Clause-FreeBSD"
] | 636 | 2015-01-05T01:57:08.000Z | 2022-03-25T18:42:41.000Z | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2021, John McNamara, jmcnamara@cpan.org
#
import unittest
from io import StringIO
from ...worksheet import Worksheet
class TestWritePageMargins(unittest.TestCase):
"""
Test the Wo... | 32.009091 | 108 | 0.615734 |
1f91cf9ece63b7653dd3d13e2bdaf83fe7e8de70 | 2,404 | py | Python | rhouser/migrations/0001_initial.py | freakboy3742/rho-django-user | 43d8bdb4577bce0856d9e218352f024f1402495e | [
"BSD-3-Clause"
] | 5 | 2017-06-19T10:54:50.000Z | 2018-07-29T02:04:06.000Z | rhouser/migrations/0001_initial.py | freakboy3742/rho-django-user | 43d8bdb4577bce0856d9e218352f024f1402495e | [
"BSD-3-Clause"
] | null | null | null | rhouser/migrations/0001_initial.py | freakboy3742/rho-django-user | 43d8bdb4577bce0856d9e218352f024f1402495e | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.10 on 2016-10-25 12:07
from __future__ import unicode_literals
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0006_require_contenttypes_0002'),
... | 58.634146 | 266 | 0.658902 |
2fa990719f15b62d99e9eca3793f700445b56467 | 6,432 | py | Python | client/level/level_holder.py | jaxsenh/the-devil-that-lurks | 89fa85c461a8da55a0b7d28e32dd8144d6cac8ca | [
"MIT"
] | 1 | 2020-05-28T03:21:44.000Z | 2020-05-28T03:21:44.000Z | client/level/level_holder.py | jaxsenh/the-devil-that-lurks | 89fa85c461a8da55a0b7d28e32dd8144d6cac8ca | [
"MIT"
] | null | null | null | client/level/level_holder.py | jaxsenh/the-devil-that-lurks | 89fa85c461a8da55a0b7d28e32dd8144d6cac8ca | [
"MIT"
] | null | null | null | from level.mainmenu import MainMenuLevel
from level.day import DayLevel
from level.lobby import LobbyLevel
from level.night import NightLevel
from objects.alert import Alert
from direct.directnotify.DirectNotifyGlobal import directNotify
from communications.datagrams import dg_goodbye
from panda3d.core import VirtualFi... | 32.16 | 110 | 0.608364 |
7bf83e05b1b5169d2b926ce2e099de1861a78d2b | 2,757 | py | Python | loss.py | MuhammedAshraf2020/yolo_using_pytorch | c6de8fd6c725db13792239bc7e4b4d4a71d3cd50 | [
"MIT"
] | 1 | 2021-08-03T13:33:35.000Z | 2021-08-03T13:33:35.000Z | loss.py | MuhammedAshraf2020/yolo_using_pytorch | c6de8fd6c725db13792239bc7e4b4d4a71d3cd50 | [
"MIT"
] | null | null | null | loss.py | MuhammedAshraf2020/yolo_using_pytorch | c6de8fd6c725db13792239bc7e4b4d4a71d3cd50 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from utils import intersection_over_union
class YoloLoss(nn.Module):
def __init__(self , S = 7 , B = 2 , C = 20):
super(YoloLoss , self).__init__()
# S * S number of the celles 7 * 7
# B number of Bounding box 1
# C number of classes 20
self.S = S
self.B ... | 42.415385 | 139 | 0.597388 |
d64f5f1535feeda890a40f99fdcff11e0a172e70 | 3,025 | py | Python | test.py | veejayts/face-filter-dlib | 468f89ef59b5321a5053ae44a588bc21cedbde68 | [
"MIT"
] | 1 | 2022-02-08T04:08:18.000Z | 2022-02-08T04:08:18.000Z | test.py | veejayts/face-filter-dlib | 468f89ef59b5321a5053ae44a588bc21cedbde68 | [
"MIT"
] | 1 | 2021-03-20T10:01:27.000Z | 2021-03-20T10:01:27.000Z | test.py | veejayts/face-filter-dlib | 468f89ef59b5321a5053ae44a588bc21cedbde68 | [
"MIT"
] | null | null | null | from typing import final
import cv2
import numpy as np
import dlib
from math import hypot, pow, sqrt
# CONSTANTS
ESCAPE_KEY_CODE = 27
cap = cv2.VideoCapture(0)
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
cooler_img = cv2.imread('./assets/cooler... | 36.890244 | 115 | 0.638017 |
0b4749e87b694c5d0515fbeb5e1921041ee72ea5 | 332 | py | Python | tests/test_supported_languages.py | IL2HorusTeam/il2fb-commons | 2d2084dbd5752847d96a8449622ef559c444a076 | [
"MIT"
] | null | null | null | tests/test_supported_languages.py | IL2HorusTeam/il2fb-commons | 2d2084dbd5752847d96a8449622ef559c444a076 | [
"MIT"
] | null | null | null | tests/test_supported_languages.py | IL2HorusTeam/il2fb-commons | 2d2084dbd5752847d96a8449622ef559c444a076 | [
"MIT"
] | null | null | null | import unittest
from il2fb.commons.supported_languages import SUPPORTED_LANGUAGES
class SupportedLanguagesTestCase(unittest.TestCase):
def test_names(self):
self.assertEqual(SUPPORTED_LANGUAGES.names(), ["EN", "RU", ])
def test_default_language(self):
self.assertEqual(SUPPORTED_LANGUAGES.get_default().... | 25.538462 | 66 | 0.783133 |
d5ec1afc5e6b3f00818e70ec883c691016328469 | 9,552 | py | Python | tests/test_staticfiles.py | sburba/starlette | 89ed22a37ca8a2c2d4503769f56bfe7514927374 | [
"BSD-3-Clause"
] | 2 | 2021-09-02T05:23:33.000Z | 2021-11-14T15:52:58.000Z | tests/test_staticfiles.py | sburba/starlette | 89ed22a37ca8a2c2d4503769f56bfe7514927374 | [
"BSD-3-Clause"
] | 3 | 2022-03-01T12:03:23.000Z | 2022-03-01T12:03:41.000Z | tests/test_staticfiles.py | sburba/starlette | 89ed22a37ca8a2c2d4503769f56bfe7514927374 | [
"BSD-3-Clause"
] | null | null | null | import os
import pathlib
import time
import anyio
import pytest
from starlette.applications import Starlette
from starlette.requests import Request
from starlette.routing import Mount
from starlette.staticfiles import StaticFiles
def test_staticfiles(tmpdir, test_client_factory):
path = os.path.join(tmpdir, "ex... | 33.28223 | 86 | 0.688023 |
4ca5b55f417c19cfb042cc39761649eda494d3c7 | 21,039 | py | Python | 0.3_missing value imputation/0.1_complete_case_analysis.py | Akshaykumarcp/ML-Feature-Engineering | 456c3a729d67ec2cb6115a27befc0d775fb85e97 | [
"MIT"
] | null | null | null | 0.3_missing value imputation/0.1_complete_case_analysis.py | Akshaykumarcp/ML-Feature-Engineering | 456c3a729d67ec2cb6115a27befc0d775fb85e97 | [
"MIT"
] | null | null | null | 0.3_missing value imputation/0.1_complete_case_analysis.py | Akshaykumarcp/ML-Feature-Engineering | 456c3a729d67ec2cb6115a27befc0d775fb85e97 | [
"MIT"
] | null | null | null | """
COMPLETE CASE ANALYSIS [CAA]
- A.K.A list wise deletion of cases
- consists in discarding observations where values in any of the variables are missing
- complete case analysis means literally analysing only those observations for which there is information in all of the variables in the dataset.
CAN I APPLY... | 45.538961 | 961 | 0.567993 |
6007ad5da99ce3dc6e30ea218020f5b46548f733 | 6,578 | py | Python | tensorflow/contrib/learn/python/learn/tests/test_nonlinear.py | smrutiranjans/tensorflow | d8e8b872eae63188c75046d5bb068e03a81b3f85 | [
"Apache-2.0"
] | 7 | 2016-04-24T19:06:10.000Z | 2018-10-03T16:33:51.000Z | tensorflow/contrib/learn/python/learn/tests/test_nonlinear.py | smrutiranjans/tensorflow | d8e8b872eae63188c75046d5bb068e03a81b3f85 | [
"Apache-2.0"
] | null | null | null | tensorflow/contrib/learn/python/learn/tests/test_nonlinear.py | smrutiranjans/tensorflow | d8e8b872eae63188c75046d5bb068e03a81b3f85 | [
"Apache-2.0"
] | 3 | 2017-05-24T06:58:14.000Z | 2020-02-15T14:21:00.000Z | # Copyright 2015-present The Scikit Flow 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 require... | 41.898089 | 88 | 0.622682 |
3646adc3bc0361f260af8b837a491ad722bb0827 | 437 | py | Python | src/UQpy/sampling/adaptive_kriging_functions/__init__.py | SURGroup/UncertaintyQuantification | a94c8db47d07134ea2b3b0a3ca53ca818532c3e6 | [
"MIT"
] | null | null | null | src/UQpy/sampling/adaptive_kriging_functions/__init__.py | SURGroup/UncertaintyQuantification | a94c8db47d07134ea2b3b0a3ca53ca818532c3e6 | [
"MIT"
] | null | null | null | src/UQpy/sampling/adaptive_kriging_functions/__init__.py | SURGroup/UncertaintyQuantification | a94c8db47d07134ea2b3b0a3ca53ca818532c3e6 | [
"MIT"
] | null | null | null | from UQpy.sampling.adaptive_kriging_functions.ExpectedFeasibility import *
from UQpy.sampling.adaptive_kriging_functions.ExpectedImprovement import *
from UQpy.sampling.adaptive_kriging_functions.ExpectedImprovementGlobalFit import *
from UQpy.sampling.adaptive_kriging_functions.baseclass import *
from UQpy.sampling.ad... | 62.428571 | 83 | 0.89016 |
6744ec5258b655793b2f9357415b8eaf063d2ccf | 308 | py | Python | applications/DemStructuresCouplingApplication/DemStructuresCouplingApplication.py | lkusch/Kratos | e8072d8e24ab6f312765185b19d439f01ab7b27b | [
"BSD-4-Clause"
] | 778 | 2017-01-27T16:29:17.000Z | 2022-03-30T03:01:51.000Z | applications/DemStructuresCouplingApplication/DemStructuresCouplingApplication.py | lkusch/Kratos | e8072d8e24ab6f312765185b19d439f01ab7b27b | [
"BSD-4-Clause"
] | 6,634 | 2017-01-15T22:56:13.000Z | 2022-03-31T15:03:36.000Z | applications/DemStructuresCouplingApplication/DemStructuresCouplingApplication.py | lkusch/Kratos | e8072d8e24ab6f312765185b19d439f01ab7b27b | [
"BSD-4-Clause"
] | 224 | 2017-02-07T14:12:49.000Z | 2022-03-06T23:09:34.000Z | # Application dependent names and paths
from KratosMultiphysics import _ImportApplication
from KratosDemStructuresCouplingApplication import *
application = KratosDemStructuresCouplingApplication()
application_name = "KratosDemStructuresCouplingApplication"
_ImportApplication(application, application_name) | 44 | 59 | 0.892857 |
ff2c978e9516778402bba8d5085527a5ac63d294 | 35,923 | py | Python | metapool/metapool.py | ElDeveloper/metagenomics_pooling_notebook | f72377599084a24775dc6cca7d8fbddb66f82316 | [
"MIT"
] | null | null | null | metapool/metapool.py | ElDeveloper/metagenomics_pooling_notebook | f72377599084a24775dc6cca7d8fbddb66f82316 | [
"MIT"
] | null | null | null | metapool/metapool.py | ElDeveloper/metagenomics_pooling_notebook | f72377599084a24775dc6cca7d8fbddb66f82316 | [
"MIT"
] | null | null | null | import os
import re
import numpy as np
import pandas as pd
import string
import sys
import seaborn as sns
import matplotlib.pyplot as plt
import sample_sheet
import tempfile
import collections
import warnings
from io import StringIO
def read_plate_map_csv(f, sep = '\t'):
"""
reads tab-delimited plate map into... | 33.698874 | 110 | 0.611586 |
fbf2b51422442c26fce8da7d7b14bf710b4584e9 | 1,885 | py | Python | scripts/run_dataset.py | marvinsohn/ose-course-data-science | 250f2bac7a3aafe1367a970c8b09a2c9fed67f0a | [
"MIT"
] | 62 | 2019-04-02T11:51:06.000Z | 2020-07-11T05:28:27.000Z | scripts/run_dataset.py | marvinsohn/ose-course-data-science | 250f2bac7a3aafe1367a970c8b09a2c9fed67f0a | [
"MIT"
] | 49 | 2019-04-05T10:57:07.000Z | 2020-07-07T20:41:19.000Z | scripts/run_dataset.py | HumanCapitalAnalysis/ose-data-science | d5be68de68f170f8e8f11c9ed635b42f19100f87 | [
"MIT"
] | 46 | 2019-04-03T08:31:02.000Z | 2020-07-13T12:43:26.000Z | #!/usr/bin/env python
import os
from itertools import product
import pandas as pd
from auxiliary import DATASETS_ROOT
def from_dta_to_csv(textbook, dataset):
"""Transfer the dataset from *.dta to a csv file."""
substring = textbook + "/" + dataset
df = pd.read_stata("sources/" + substring + ".dta")
d... | 38.469388 | 95 | 0.734748 |
07f9f42a29fe52eb88c3dd9fdd5685bf781c2f04 | 1,348 | py | Python | azure-mgmt-resource/azure/mgmt/resource/resources/v2018_02_01/models/tag_value.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-resource/azure/mgmt/resource/resources/v2018_02_01/models/tag_value.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-resource/azure/mgmt/resource/resources/v2018_02_01/models/tag_value.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2018-08-28T14:36:47.000Z | 2018-08-28T14:36:47.000Z | # 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 ... | 30.636364 | 76 | 0.567507 |
081579aaeaa4f929cbff98c76922b5f976d5dc8c | 204 | py | Python | tools/flake8_hook.py | Keris/creditscoring | 0edd37f05fd9a02259a645bc2d12e91e97fca638 | [
"MIT"
] | 4 | 2020-06-16T06:33:25.000Z | 2021-07-04T13:41:28.000Z | tools/flake8_hook.py | Keris/creditscoring | 0edd37f05fd9a02259a645bc2d12e91e97fca638 | [
"MIT"
] | null | null | null | tools/flake8_hook.py | Keris/creditscoring | 0edd37f05fd9a02259a645bc2d12e91e97fca638 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
from flake8.main import git
if __name__ == '__main__':
sys.exit(
git.hook(
strict=True,
lazy=git.config_for('lazy'),
)
) | 15.692308 | 40 | 0.539216 |
40be849258a79932a06b87577a142adac460e09d | 18,629 | py | Python | sdk/python/pulumi_azure_native/documentdb/v20200901/mongo_db_resource_mongo_db_collection.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/documentdb/v20200901/mongo_db_resource_mongo_db_collection.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/documentdb/v20200901/mongo_db_resource_mongo_db_collection.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 59.900322 | 3,062 | 0.702453 |
4dd76d279b9128d2fc5e07461693897d98b8446c | 1,610 | py | Python | data-preparation/EDS_split_train_dev.py | jgontrum/am-parser | 80d8d4f3449ba80dc1893e7e9e2ca30bdf9d71a9 | [
"Apache-2.0"
] | 22 | 2019-08-01T05:03:04.000Z | 2021-12-24T06:51:48.000Z | data-preparation/EDS_split_train_dev.py | jgontrum/am-parser | 80d8d4f3449ba80dc1893e7e9e2ca30bdf9d71a9 | [
"Apache-2.0"
] | 20 | 2019-08-11T21:04:48.000Z | 2021-11-19T17:48:47.000Z | data-preparation/EDS_split_train_dev.py | jgontrum/am-parser | 80d8d4f3449ba80dc1893e7e9e2ca30bdf9d71a9 | [
"Apache-2.0"
] | 5 | 2019-08-01T05:03:57.000Z | 2020-12-11T17:37:09.000Z | #
# Copyright (c) 2020 Saarland University.
#
# This file is part of AM Parser
# (see https://github.com/coli-saar/am-parser/).
#
# 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://... | 31.568627 | 118 | 0.578261 |
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