hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dd99b6d2cdd53e9871b02f6e724fb47ac13372e3 | 12,973 | py | Python | programs/loadsheet/loadsheet.py | admin-db/OnboardingTools | 0f9d363d461df8c01e99157386338633828f5f92 | [
"Apache-2.0"
] | 3 | 2021-04-24T14:39:50.000Z | 2021-07-20T17:11:19.000Z | programs/loadsheet/loadsheet.py | admin-db/OnboardingTools | 0f9d363d461df8c01e99157386338633828f5f92 | [
"Apache-2.0"
] | 2 | 2020-07-22T21:34:33.000Z | 2021-01-14T19:26:12.000Z | programs/loadsheet/loadsheet.py | admin-db/OnboardingTools | 0f9d363d461df8c01e99157386338633828f5f92 | [
"Apache-2.0"
] | 2 | 2020-07-16T03:34:35.000Z | 2020-07-22T21:18:12.000Z | #Copyright 2020 DB Engineering
#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, softwa... | 27.427061 | 145 | 0.697757 | 11,459 | 0.883296 | 0 | 0 | 4,658 | 0.359053 | 0 | 0 | 7,036 | 0.542357 |
dd9b08662b0371253cd734386bb9a5108ab7a965 | 59,491 | py | Python | anita.py | utkarsh009/Bnita | 0f8ea0b389907f835685c572194b1eb5580a6286 | [
"BSD-3-Clause"
] | 2 | 2017-06-12T05:40:48.000Z | 2017-06-23T17:09:51.000Z | anita.py | utkarsh009/Bnita | 0f8ea0b389907f835685c572194b1eb5580a6286 | [
"BSD-3-Clause"
] | null | null | null | anita.py | utkarsh009/Bnita | 0f8ea0b389907f835685c572194b1eb5580a6286 | [
"BSD-3-Clause"
] | null | null | null | #
# This is the library part of Anita, the Automated NetBSD Installation
# and Test Application.
#
import os
import pexpect
import re
import string
import subprocess
import sys
import time
import urllib
import urlparse
__version__='1.40'
# Your preferred NetBSD FTP mirror site.
# This is used only by the obsolete co... | 34.933059 | 120 | 0.599351 | 48,824 | 0.820696 | 0 | 0 | 0 | 0 | 0 | 0 | 25,172 | 0.423123 |
dd9b53c1d51423e3d8a448dcde0235338b5a8f9d | 5,356 | py | Python | solitude/testing/context.py | incerto-crypto/solitude | 1b21a2ca4912da212d413322953ceb4ec2983c17 | [
"BSD-3-Clause"
] | 7 | 2019-03-25T21:48:42.000Z | 2022-02-25T08:21:35.000Z | solitude/testing/context.py | incerto-crypto/solitude | 1b21a2ca4912da212d413322953ceb4ec2983c17 | [
"BSD-3-Clause"
] | null | null | null | solitude/testing/context.py | incerto-crypto/solitude | 1b21a2ca4912da212d413322953ceb4ec2983c17 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2019, Solitude Developers
#
# This source code is licensed under the BSD-3-Clause license found in the
# COPYING file in the root directory of this source tree
from typing import Mapping, Union, Optional # noqa
import os
import shutil
import tempfile
from functools import wraps
from collections import... | 32.460606 | 92 | 0.668969 | 3,542 | 0.661314 | 0 | 0 | 1,687 | 0.314974 | 0 | 0 | 1,512 | 0.2823 |
dd9c212b2612a151f4e10e08866ba944cee12a2b | 2,883 | py | Python | openwater/zone/model.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | openwater/zone/model.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | openwater/zone/model.py | jeradM/openwater | 740b7e76622a1ee909b970d9e5c612a840466cec | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from datetime import datetime
from typing import TYPE_CHECKING, Dict, Any, List, Optional
if TYPE_CHECKING:
from openwater.core import OpenWater
class ZoneRun:
def __init__(self, id: int, zone_id: int, start: datetime, duration: int):
self.id = id
self.zone... | 25.289474 | 78 | 0.539369 | 2,691 | 0.933403 | 0 | 0 | 696 | 0.241415 | 85 | 0.029483 | 259 | 0.089837 |
dd9c57daac230a88704ee45525c7ddcffe34b216 | 2,339 | py | Python | shrinkaddrspace/fix_preinit.py | vusec/midfat | 9eb8d3c5188c0c262ad5f5de84f9e26530e38a4c | [
"Apache-2.0"
] | 6 | 2017-06-02T00:16:57.000Z | 2018-12-08T20:49:19.000Z | shrinkaddrspace/fix_preinit.py | vusec/midfat | 9eb8d3c5188c0c262ad5f5de84f9e26530e38a4c | [
"Apache-2.0"
] | null | null | null | shrinkaddrspace/fix_preinit.py | vusec/midfat | 9eb8d3c5188c0c262ad5f5de84f9e26530e38a4c | [
"Apache-2.0"
] | 3 | 2019-05-12T08:52:48.000Z | 2019-08-08T11:17:52.000Z | #!/usr/bin/env python
import struct
from elftools.elf.elffile import ELFFile
def elf_get_preinit(elffile):
preinit_offset = None
preinit_funcs = tuple()
for sec in elffile.iter_sections():
if sec.name == '.preinit_array':
sz = sec['sh_size']
preinit_offset = sec['sh_offset... | 32.486111 | 80 | 0.607525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 0.194528 |
dd9d9e745268a05b2a5397b1a32f3f6189d22b3b | 41 | py | Python | ppq/utils/__init__.py | openppl-public/ppq | 0fdea7d4982bc57feb6bb8548c7f012707fbd607 | [
"Apache-2.0"
] | 100 | 2021-12-31T09:34:06.000Z | 2022-03-25T02:54:51.000Z | ppq/utils/__init__.py | openppl-public/ppq | 0fdea7d4982bc57feb6bb8548c7f012707fbd607 | [
"Apache-2.0"
] | 12 | 2021-12-31T10:28:15.000Z | 2022-03-31T07:08:44.000Z | ppq/utils/__init__.py | openppl-public/ppq | 0fdea7d4982bc57feb6bb8548c7f012707fbd607 | [
"Apache-2.0"
] | 21 | 2021-12-31T09:51:02.000Z | 2022-03-30T12:21:55.000Z | from .attribute import process_attribute
| 20.5 | 40 | 0.878049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dda05eca52f0bd879e75366f591fdb92e3e9abbd | 855 | py | Python | tests/test_views.py | pennlabs/django-shortener | a8f362863d4d8f13916e9e924ed316384f588373 | [
"MIT"
] | 3 | 2018-11-04T15:46:01.000Z | 2020-01-06T13:49:46.000Z | tests/test_views.py | pennlabs/shortener | a8f362863d4d8f13916e9e924ed316384f588373 | [
"MIT"
] | 1 | 2019-07-30T04:31:19.000Z | 2019-07-30T04:31:19.000Z | tests/test_views.py | pennlabs/shortener | a8f362863d4d8f13916e9e924ed316384f588373 | [
"MIT"
] | 2 | 2021-02-22T18:12:27.000Z | 2021-09-16T18:51:47.000Z | import hashlib
from django.test import TestCase
from django.urls import reverse
from shortener.models import Url
class RedirectViewTestCase(TestCase):
def setUp(self):
self.redirect = "https://pennlabs.org"
self.url, _ = Url.objects.get_or_create(long_url=self.redirect)
def test_exists(self... | 34.2 | 84 | 0.691228 | 737 | 0.861988 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.088889 |
dda073c654623fd4431b83697b75b0c9003f460a | 1,758 | py | Python | Models/Loss/__init__.py | bobo0810/classification | b27397308c5294dcc30a5aaddab4692becfc45d3 | [
"MIT"
] | null | null | null | Models/Loss/__init__.py | bobo0810/classification | b27397308c5294dcc30a5aaddab4692becfc45d3 | [
"MIT"
] | null | null | null | Models/Loss/__init__.py | bobo0810/classification | b27397308c5294dcc30a5aaddab4692becfc45d3 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from timm.loss import LabelSmoothingCrossEntropy
from pytorch_metric_learning import losses
class create_class_loss(nn.Module):
"""
常规分类 - 损失函数入口
"""
def __init__(self, name):
super(create_class_loss, self).__init__()
assert name in ["cross_entropy",... | 27.46875 | 80 | 0.609215 | 1,699 | 0.927402 | 0 | 0 | 0 | 0 | 0 | 0 | 406 | 0.221616 |
dda150ca1f3fdf6e22fc599876192f67eb4fbf8e | 1,195 | py | Python | tests/main.py | caspervg/geontology | e5660629f57747d05cfe6e15721bca23039a672d | [
"MIT"
] | 1 | 2015-12-25T10:46:27.000Z | 2015-12-25T10:46:27.000Z | tests/main.py | caspervg/geontology | e5660629f57747d05cfe6e15721bca23039a672d | [
"MIT"
] | null | null | null | tests/main.py | caspervg/geontology | e5660629f57747d05cfe6e15721bca23039a672d | [
"MIT"
] | null | null | null | from rdflib import URIRef
from rdflib.namespace import DC, RDF, OWL, RDFS
from geontology import GeoOntology
ont = GeoOntology("geo_ontology.ttl", frmt='n3')
# print ont.serialize()
graph = ont.graph
print "InfoColumns"
for s, p, o in graph.triples(
(None, RDFS.subClassOf, URIRef('http://move.ugent.be/geod... | 29.146341 | 93 | 0.551464 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 336 | 0.281172 |
dda2bd0af7d3de24450c99ea2968e3067f121da2 | 1,397 | py | Python | VGG_GRU/TrainTestlist/Emotiw/getTraintest_Emotiw.py | XiaoYee/emotion_classification | 6122e1b575bce5235169f155295b549a8f721ca1 | [
"MIT"
] | 74 | 2018-06-29T06:46:33.000Z | 2022-02-26T19:15:55.000Z | VGG_GRU/TrainTestlist/Emotiw/getTraintest_Emotiw.py | JIangjiang1108/emotion_classification | 6122e1b575bce5235169f155295b549a8f721ca1 | [
"MIT"
] | 6 | 2018-07-02T09:29:05.000Z | 2020-01-30T14:21:26.000Z | VGG_GRU/TrainTestlist/Emotiw/getTraintest_Emotiw.py | JIangjiang1108/emotion_classification | 6122e1b575bce5235169f155295b549a8f721ca1 | [
"MIT"
] | 23 | 2018-06-29T12:52:40.000Z | 2020-12-02T12:55:13.000Z | import os
import os.path as osp
import argparse
import random
parser = argparse.ArgumentParser(description='Emotiw dataset list producer')
args = parser.parse_args()
train = "/home/quxiaoye/disk/FR/Emotiw2018/data/Train_AFEW_all/Emotiw-faces"
test = "/home/quxiaoye/disk/FR/Emotiw2018/data/Val_AFEW/Emotiw-faces"
tr... | 29.723404 | 76 | 0.7602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0.186113 |
06b3cc12c35c6a81cb3cf69f89310f5caed75723 | 141 | py | Python | config_default.py | wecassidy/pishow | 310f935688e0b3ceeb8fe11bd0fda902c041dd45 | [
"MIT"
] | null | null | null | config_default.py | wecassidy/pishow | 310f935688e0b3ceeb8fe11bd0fda902c041dd45 | [
"MIT"
] | null | null | null | config_default.py | wecassidy/pishow | 310f935688e0b3ceeb8fe11bd0fda902c041dd45 | [
"MIT"
] | null | null | null | IMG_DIR = "/path/to/pictures"
IMG_POLL_RATE = 1 # minute
DWELL_TIME = 5 # seconds
FADE_TIME = 1 # seconds
REFRESH_RATE = 10 # milliseconds
| 17.625 | 32 | 0.723404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.41844 |
06b3ddf241a1d83947506562980f958105dbb002 | 5,050 | py | Python | src/stdlib.py | tweakoz/zed64 | c0231444418999191182d53d9319bf7978422bfb | [
"CC-BY-3.0"
] | 4 | 2015-06-04T01:14:43.000Z | 2018-06-16T05:45:57.000Z | src/stdlib.py | tweakoz/zed64 | c0231444418999191182d53d9319bf7978422bfb | [
"CC-BY-3.0"
] | null | null | null | src/stdlib.py | tweakoz/zed64 | c0231444418999191182d53d9319bf7978422bfb | [
"CC-BY-3.0"
] | null | null | null | #######################################################################
##
## Zed64 MetroComputer
##
## Unless a module otherwise marked,
## Copyright 2014, Michael T. Mayers (michael@tweakoz.com
## Provided under the Creative Commons Attribution License 3.0
## Please see https://creativecommons.org/licenses/by/3.0/us/... | 24.278846 | 86 | 0.50198 | 1,886 | 0.373465 | 0 | 0 | 583 | 0.115446 | 0 | 0 | 1,189 | 0.235446 |
06bb33b3d53b354d7a98d017485acac1da8698a5 | 1,127 | py | Python | py/1081. Smallest Subsequence of Distinct Characters.py | longwangjhu/LeetCode | a5c33e8d67e67aedcd439953d96ac7f443e2817b | [
"MIT"
] | 3 | 2021-08-07T07:01:34.000Z | 2021-08-07T07:03:02.000Z | py/1081. Smallest Subsequence of Distinct Characters.py | longwangjhu/LeetCode | a5c33e8d67e67aedcd439953d96ac7f443e2817b | [
"MIT"
] | null | null | null | py/1081. Smallest Subsequence of Distinct Characters.py | longwangjhu/LeetCode | a5c33e8d67e67aedcd439953d96ac7f443e2817b | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/smallest-subsequence-of-distinct-characters/
# Return the lexicographically smallest subsequence of s that contains all the
# distinct characters of s exactly once.
# Note: This question is the same as 316: https://leetcode.com/problems/remove-
# duplicate-letters/
###################... | 38.862069 | 108 | 0.585626 | 598 | 0.530612 | 0 | 0 | 0 | 0 | 0 | 0 | 644 | 0.571429 |
06bbd57d69031c72132de965a30424f3da29237c | 2,207 | py | Python | ebs-snapshot-manager.py | phanirajendra/aws-ebs-snapshots-lambda | 0464ec54de7e812163e33db73d1cb9d46c35c029 | [
"Apache-2.0"
] | null | null | null | ebs-snapshot-manager.py | phanirajendra/aws-ebs-snapshots-lambda | 0464ec54de7e812163e33db73d1cb9d46c35c029 | [
"Apache-2.0"
] | null | null | null | ebs-snapshot-manager.py | phanirajendra/aws-ebs-snapshots-lambda | 0464ec54de7e812163e33db73d1cb9d46c35c029 | [
"Apache-2.0"
] | 1 | 2020-05-17T14:45:51.000Z | 2020-05-17T14:45:51.000Z | import boto3
import re
import datetime
import time
ec = boto3.client('ec2')
iam = boto3.client('iam')
"""
This function looks at *all* snapshots that have the tags "Type:Automated" and
"DeleteOn" containing the current day formatted as YYYY-MM-DD. The function will
delete the if the todays date is > than the "DeleteO... | 34.484375 | 100 | 0.593113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 939 | 0.425464 |
06bd33902db8a6c06128727e29c0eae037cf9894 | 378 | py | Python | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/GL/NV/fragment_program.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/GL/NV/fragment_program.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | Cartwheel/lib/Python26/Lib/site-packages/OpenGL/GL/NV/fragment_program.py | MontyThibault/centre-of-mass-awareness | 58778f148e65749e1dfc443043e9fc054ca3ff4d | [
"MIT"
] | null | null | null | '''OpenGL extension NV.fragment_program
This module customises the behaviour of the
OpenGL.raw.GL.NV.fragment_program to provide a more
Python-friendly API
'''
from OpenGL import platform, constants, constant, arrays
from OpenGL import extensions, wrapper
from OpenGL.GL import glget
import ctypes
from OpenGL.raw.GL.... | 31.5 | 56 | 0.812169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 191 | 0.505291 |
06be7d0ae668828822753247461cfec9b2e4f3d3 | 675 | py | Python | kpm/commands/push.py | ericchiang/kpm | 3653b1dba8359f086a6a21d3a5003e80a46083a7 | [
"Apache-2.0"
] | 121 | 2016-08-05T17:54:27.000Z | 2022-02-21T14:21:59.000Z | kpm/commands/push.py | ericchiang/kpm | 3653b1dba8359f086a6a21d3a5003e80a46083a7 | [
"Apache-2.0"
] | 82 | 2016-08-07T01:42:41.000Z | 2017-05-05T17:35:45.000Z | kpm/commands/push.py | ericchiang/kpm | 3653b1dba8359f086a6a21d3a5003e80a46083a7 | [
"Apache-2.0"
] | 30 | 2016-08-15T13:12:10.000Z | 2022-02-21T14:22:00.000Z | from appr.commands.push import PushCmd as ApprPushCmd
from kpm.manifest_jsonnet import ManifestJsonnet
class PushCmd(ApprPushCmd):
default_media_type = 'kpm'
def _kpm(self):
self.filter_files = True
self.manifest = ManifestJsonnet()
ns, name = self.manifest.package['name'].split("/")... | 32.142857 | 66 | 0.638519 | 568 | 0.841481 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0.057778 |
06be9a64516dc7d92276fa93579a7f01f96fc979 | 360 | py | Python | QASMToQuEST/errors.py | oerc0122/QASMParser | 701b6f25f498ea67670f2d85ae0f2e6920aea267 | [
"MIT"
] | 5 | 2019-05-10T08:17:57.000Z | 2021-12-19T05:06:18.000Z | QASMToQuEST/errors.py | oerc0122/QASMParser | 701b6f25f498ea67670f2d85ae0f2e6920aea267 | [
"MIT"
] | 14 | 2019-04-11T11:28:08.000Z | 2020-02-13T15:18:56.000Z | QASMToQuEST/errors.py | oerc0122/QASMParser | 701b6f25f498ea67670f2d85ae0f2e6920aea267 | [
"MIT"
] | 2 | 2019-05-10T08:17:23.000Z | 2021-12-18T16:37:02.000Z | """
Define the errors which may occur
"""
langMismatchWarning = "Classical language {} does not match output language {}"
langNotDefWarning = "Language {0} translation not found, check QASMToQuEST/langs/{0}.py exists"
noLangSpecWarning = "No language specified for screen print"
noSpecWarning = "Neither language nor out... | 45 | 95 | 0.786111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 277 | 0.769444 |
06bfd7cd414a9434b1f295b51c26d7407c29f08d | 383 | py | Python | problem_29/distinct_powers.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | problem_29/distinct_powers.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | problem_29/distinct_powers.py | plilja/project-euler | 646d1989cf15e903ef7e3c6e487284847d522ec9 | [
"Apache-2.0"
] | null | null | null | from common.matrix import Matrix
def distinct_powers(n):
m = Matrix(n + 2, n + 2)
for i in range(2, n + 1):
m[i][2] = i ** 2
for j in range(3, n + 1):
m[i][j] = m[i][j - 1] * i
distinct_values = set()
for i in range(2, n + 1):
for j in range(2, n + 1):
... | 21.277778 | 40 | 0.488251 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06c21871e9ad89697d51562c488828bc64f7390f | 1,436 | py | Python | 1-python/python/transpose.py | Domin-Imperial/Domin-Respository | 2e531aabc113ed3511f349107695847b5c4e4320 | [
"MIT"
] | null | null | null | 1-python/python/transpose.py | Domin-Imperial/Domin-Respository | 2e531aabc113ed3511f349107695847b5c4e4320 | [
"MIT"
] | null | null | null | 1-python/python/transpose.py | Domin-Imperial/Domin-Respository | 2e531aabc113ed3511f349107695847b5c4e4320 | [
"MIT"
] | 1 | 2021-05-24T20:09:38.000Z | 2021-05-24T20:09:38.000Z | # exercism exercise "transpose"
def transpose(lines: str) -> str:
input_list = lines.split('\n') # or splitlines
input_height = len(input_list)
input_width = get_input_width(input_list)
output_list = []
for colnum in range(input_width):
output = ''
for rownum in range(input_height)... | 27.615385 | 67 | 0.612117 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 598 | 0.416435 |
06c29fb490c1f0aa4c9251b922a903b4e7ce1750 | 548 | py | Python | tests/create_file.py | stompsjo/RadClass | 3bce664fbc1ea48c067e035adb18cc064db5df4b | [
"BSD-3-Clause"
] | null | null | null | tests/create_file.py | stompsjo/RadClass | 3bce664fbc1ea48c067e035adb18cc064db5df4b | [
"BSD-3-Clause"
] | 2 | 2021-05-11T15:11:17.000Z | 2021-07-02T17:42:35.000Z | tests/create_file.py | stompsjo/RadClass | 3bce664fbc1ea48c067e035adb18cc064db5df4b | [
"BSD-3-Clause"
] | null | null | null | import h5py
def create_file(filename, datapath, labels, live, timestamps, spectra):
# Creating sample dataset
f = h5py.File(filename, "w")
# data structure for MUSE files
dset1 = f.create_dataset(datapath + labels['live'], (1000,))
dset2 = f.create_dataset(datapath + labels['timestamps'], (100... | 30.444444 | 71 | 0.642336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.25365 |
06c2aad42518b04959fd06448a4c2d1ef11c34fe | 4,318 | py | Python | core/models.py | mcflydesigner/innorussian | 70bec97ad349f340bd66cd8234d94f8829540397 | [
"MIT"
] | 1 | 2021-04-12T18:54:37.000Z | 2021-04-12T18:54:37.000Z | core/models.py | mcflydesigner/InnoRussian | 70bec97ad349f340bd66cd8234d94f8829540397 | [
"MIT"
] | null | null | null | core/models.py | mcflydesigner/InnoRussian | 70bec97ad349f340bd66cd8234d94f8829540397 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.timezone import now
from django.core.validators import FileExtensionValidator
from django.contrib.auth import get_user_model
from django.contrib.postgres.fields import ArrayField
from django.db.models import (Func, Value, CharField, IntegerField)
from .shortcuts import up... | 35.393443 | 101 | 0.652154 | 3,795 | 0.878879 | 0 | 0 | 0 | 0 | 0 | 0 | 1,557 | 0.360584 |
06c565b07d3d63057b60da7cadb5483464d2b8ef | 250 | py | Python | tests/tushare_to_MongoDB.py | sibuzu/OnePy | 464fca1c68a10f90ad128da3bfb03f05d2fc24bc | [
"MIT"
] | null | null | null | tests/tushare_to_MongoDB.py | sibuzu/OnePy | 464fca1c68a10f90ad128da3bfb03f05d2fc24bc | [
"MIT"
] | null | null | null | tests/tushare_to_MongoDB.py | sibuzu/OnePy | 464fca1c68a10f90ad128da3bfb03f05d2fc24bc | [
"MIT"
] | null | null | null | import OnePy as op
instrument = "000001"
ktype = "D"
start = "2017-01-01"
end = None
test = op.Tushare_to_MongoDB(database=instrument, collection=ktype)
test.data_to_db(code=instrument, start=start, end=end, ktype=ktype, autype="qfq", index=False)
| 25 | 94 | 0.748 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.112 |
06c71c090d4fa330c0d0b447373205ef201db5b3 | 1,836 | py | Python | costar_models/python/costar_models/datasets/h5f_generator.py | cpaxton/costar_plan | be5c12f9d0e9d7078e6a5c283d3be059e7f3d040 | [
"Apache-2.0"
] | 66 | 2018-10-31T04:58:53.000Z | 2022-03-17T02:32:25.000Z | costar_models/python/costar_models/datasets/h5f_generator.py | cpaxton/costar_plan | be5c12f9d0e9d7078e6a5c283d3be059e7f3d040 | [
"Apache-2.0"
] | 8 | 2018-10-23T21:19:25.000Z | 2018-12-03T02:08:41.000Z | costar_models/python/costar_models/datasets/h5f_generator.py | cpaxton/costar_plan | be5c12f9d0e9d7078e6a5c283d3be059e7f3d040 | [
"Apache-2.0"
] | 25 | 2018-10-19T00:54:17.000Z | 2021-10-10T08:28:15.000Z | from __future__ import print_function
import h5py as h5f
import numpy as np
import six
import os
from .npy_generator import NpzGeneratorDataset
from .image import *
class H5fGeneratorDataset(NpzGeneratorDataset):
'''
Placeholder class for use with the ctp training tool. This one generates
samples from an... | 30.098361 | 86 | 0.582789 | 1,667 | 0.907952 | 0 | 0 | 0 | 0 | 0 | 0 | 606 | 0.330065 |
06c7a3448e8983e9a265c812e501b174dd35b66d | 5,821 | py | Python | SegmentationAlgorithms/CBSMoT.py | JRose6/TrajLib | 2a5749bf6e9517835801926d6a5e92564ef2c7f0 | [
"Apache-2.0"
] | null | null | null | SegmentationAlgorithms/CBSMoT.py | JRose6/TrajLib | 2a5749bf6e9517835801926d6a5e92564ef2c7f0 | [
"Apache-2.0"
] | null | null | null | SegmentationAlgorithms/CBSMoT.py | JRose6/TrajLib | 2a5749bf6e9517835801926d6a5e92564ef2c7f0 | [
"Apache-2.0"
] | null | null | null | import Distances as d
import pandas as pd
import numpy as np
class CBSmot:
nano_to_seconds = 1000000000
def count_neighbors(self, traj, position, max_dist):
neighbors = 0
yet = True
j = position + 1
while j < len(traj.index) and yet:
if d.Distances.calculate_two_poi... | 35.932099 | 104 | 0.489263 | 5,758 | 0.989177 | 0 | 0 | 419 | 0.071981 | 0 | 0 | 130 | 0.022333 |
06c9a2b8530162b36b57399f64b942d4d2384eb7 | 164 | py | Python | apps/presupuesto/admin.py | edilio/cubanoshaciamiami.com | 541a22998b7c7ad3acda784c5657bfdf79cc7f07 | [
"MIT"
] | null | null | null | apps/presupuesto/admin.py | edilio/cubanoshaciamiami.com | 541a22998b7c7ad3acda784c5657bfdf79cc7f07 | [
"MIT"
] | null | null | null | apps/presupuesto/admin.py | edilio/cubanoshaciamiami.com | 541a22998b7c7ad3acda784c5657bfdf79cc7f07 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import TipoDeGasto, PresupuestoDeGasto
admin.site.register(TipoDeGasto)
admin.site.register(PresupuestoDeGasto) | 27.333333 | 52 | 0.829268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06c9d2978cf880b3371f69c40666eeeea090512c | 13,838 | py | Python | Support/validate.py | sgarbesi/javascript-eslint.tmbundle | b117fe0133582676113a96fc9804795c033d0b78 | [
"BSD-3-Clause"
] | 1 | 2015-05-01T14:24:39.000Z | 2015-05-01T14:24:39.000Z | Support/validate.py | sgarbesi/javascript-eslint.tmbundle | b117fe0133582676113a96fc9804795c033d0b78 | [
"BSD-3-Clause"
] | null | null | null | Support/validate.py | sgarbesi/javascript-eslint.tmbundle | b117fe0133582676113a96fc9804795c033d0b78 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
Validate a JavaScript file using eslint.
Author: Nate Silva
Copyright 2014 Nate Silva
License: MIT
"""
from __future__ import print_function
import sys
import os
import re
import time
import json
import subprocess
import tempfile
import hashlib
import shutil
def find_up_... | 33.833741 | 98 | 0.568001 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,160 | 0.443612 |
06cdfe64d4ce6044067a25d0bf7f0ef2fa35cf39 | 240 | py | Python | Home_Work_2_B_Naychuk_Anastasiya/Task2.py | NaychukAnastasiya/goiteens-python3-naychuk | a79d0af238a15f58a822bb5d8e4d48227d4a7bc1 | [
"MIT"
] | null | null | null | Home_Work_2_B_Naychuk_Anastasiya/Task2.py | NaychukAnastasiya/goiteens-python3-naychuk | a79d0af238a15f58a822bb5d8e4d48227d4a7bc1 | [
"MIT"
] | null | null | null | Home_Work_2_B_Naychuk_Anastasiya/Task2.py | NaychukAnastasiya/goiteens-python3-naychuk | a79d0af238a15f58a822bb5d8e4d48227d4a7bc1 | [
"MIT"
] | null | null | null | # y = f(X)
# y = 2*x -10 # x>0
# y = 0# x=0
# y = 2 * abs(x) -1 # x<0
print("Введіть число")
x = float(input())
y = 0
if x > 0:
y = 2*x -10
elif x == 0:
y = 0
else: #x<0
y = 2 * abs(x) -1
print ("y: ",y)
| 13.333333 | 26 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.424603 |
06d128fc6f207aa019def30c73ff71c2d5f4ad72 | 8,745 | py | Python | imagenet_pytorch/utils.py | lishuliang/Emotion-Recognition | a8aea1b71b2508e6157410089b20ab463fe901f5 | [
"MIT"
] | 1 | 2019-03-16T08:11:53.000Z | 2019-03-16T08:11:53.000Z | imagenet_pytorch/utils.py | lishuliang/Emotion-Recognition | a8aea1b71b2508e6157410089b20ab463fe901f5 | [
"MIT"
] | null | null | null | imagenet_pytorch/utils.py | lishuliang/Emotion-Recognition | a8aea1b71b2508e6157410089b20ab463fe901f5 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torch.nn.functional as F
from torch.nn import init
class attention(nn.Module):
def __init__(self, input_channels, map_size):
super(attention, self).__init__()
... | 43.507463 | 145 | 0.5992 | 8,532 | 0.975643 | 0 | 0 | 0 | 0 | 0 | 0 | 707 | 0.080846 |
06d1d332e24aee96ce48f604359996ef77a12eea | 1,349 | py | Python | setup.py | jopo666/HistoPrep | 1b74c346b38c7ca44f92269246571f5f850836af | [
"MIT"
] | 11 | 2021-04-21T10:37:22.000Z | 2021-12-19T22:32:59.000Z | setup.py | jopo666/HistoPrep | 1b74c346b38c7ca44f92269246571f5f850836af | [
"MIT"
] | 1 | 2021-02-24T09:15:13.000Z | 2021-04-19T06:38:58.000Z | setup.py | jopo666/HistoPrep | 1b74c346b38c7ca44f92269246571f5f850836af | [
"MIT"
] | 1 | 2021-09-16T05:00:21.000Z | 2021-09-16T05:00:21.000Z | import setuptools
exec(open('histoprep/_version.py').read())
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="histoprep",
version=__version__,
author="jopo666",
scripts=['HistoPrep'],
author_email="jopo@birdlover.com",
description="... | 32.119048 | 75 | 0.614529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 723 | 0.535953 |
06d23d367076f35c30b175f7a472c7335658ae54 | 389 | py | Python | setup.py | cprogrammer1994/python-depth-sort | 5399d6d0791eb897d0cac16d2e38b26041478a82 | [
"MIT"
] | null | null | null | setup.py | cprogrammer1994/python-depth-sort | 5399d6d0791eb897d0cac16d2e38b26041478a82 | [
"MIT"
] | null | null | null | setup.py | cprogrammer1994/python-depth-sort | 5399d6d0791eb897d0cac16d2e38b26041478a82 | [
"MIT"
] | null | null | null | import platform
from setuptools import Extension, setup
target = platform.system().lower()
extra_compile_args = []
if target.startswith('linux'):
extra_compile_args.append('-std=c++11')
ext = Extension(
name='depth_sort',
sources=['depth_sort.cpp'],
extra_compile_args=extra_compile_args,
)
setup(
... | 16.913043 | 43 | 0.691517 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.169666 |
06d28dfe07994e25ac5013d571490aa1301605ee | 15,260 | py | Python | train.py | Kiwi-PUJ/DataTraining | 706642996e884b47a0aa7dfb19da33a7234a311e | [
"CC0-1.0"
] | 3 | 2021-06-04T00:07:54.000Z | 2021-06-09T01:14:07.000Z | train.py | Kiwi-PUJ/DataTraining | 706642996e884b47a0aa7dfb19da33a7234a311e | [
"CC0-1.0"
] | null | null | null | train.py | Kiwi-PUJ/DataTraining | 706642996e884b47a0aa7dfb19da33a7234a311e | [
"CC0-1.0"
] | null | null | null | ## @package Training_app
# Training code developed with Tensorflow Keras. Content: Unet, Unet++ and FCN
#
# @version 1
#
# Pontificia Universidad Javeriana
#
# Electronic Enginnering
#
# Developed by:
# - Andrea Juliana Ruiz Gomez
# Mail: <andrea_ruiz@javeriana.edu.co>
# GitHub: andrearuizg
# - Pedro E... | 29.921569 | 80 | 0.602687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,142 | 0.271429 |
06d2f75b09d1b2bbd785ce87a1527c0fb7ae9040 | 12,133 | py | Python | src_RealData/FCN_Object.py | XYZsake/DRFNS | 73fc5683db5e9f860846e22c8c0daf73b7103082 | [
"MIT"
] | 42 | 2018-10-07T08:19:01.000Z | 2022-02-08T17:41:24.000Z | src_RealData/FCN_Object.py | XYZsake/DRFNS | 73fc5683db5e9f860846e22c8c0daf73b7103082 | [
"MIT"
] | 11 | 2018-12-22T00:15:46.000Z | 2021-12-03T10:29:32.000Z | src_RealData/FCN_Object.py | XYZsake/DRFNS | 73fc5683db5e9f860846e22c8c0daf73b7103082 | [
"MIT"
] | 14 | 2018-08-26T06:47:06.000Z | 2021-07-24T11:52:58.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import tensorflow as tf
import copy
from tf_image_segmentation.models.fcn_8s import FCN_8s
from tf_image_segmentation.utils.tf_records import read_tfrecord_and_decode_into_image_annotation_pair_tensors
from tf_image_segmentation.utils.training import get_valid_logits_and_l... | 45.784906 | 161 | 0.570675 | 11,204 | 0.923432 | 0 | 0 | 0 | 0 | 0 | 0 | 1,216 | 0.100223 |
06d355973fd78ec8f3b614057e835f98f36682ef | 379 | py | Python | qt__pyqt__pyside__pyqode/qt_ini.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | qt__pyqt__pyside__pyqode/qt_ini.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | qt__pyqt__pyside__pyqode/qt_ini.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
try:
from PyQt4.QtCore import QSettings
except:
from PyQt5.QtCore import QSettings
if __name__ == '__main__':
config = QSettings('config.ini', QSettings.IniFormat)
counter = int(config.value('counter', 0))
config.setValue('... | 18.95 | 57 | 0.664908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.279683 |
06d39356c17a9b2e38d63f8d9aaf9f0140911fdf | 46 | py | Python | wafw00f/__init__.py | nofunofunofunofun/wafw00f | a1c3f3a045077d893cd9ed970f5d687b590abfa5 | [
"BSD-3-Clause"
] | 1 | 2022-03-22T09:15:04.000Z | 2022-03-22T09:15:04.000Z | wafw00f/__init__.py | nofunofunofunofun/wafw00f | a1c3f3a045077d893cd9ed970f5d687b590abfa5 | [
"BSD-3-Clause"
] | null | null | null | wafw00f/__init__.py | nofunofunofunofun/wafw00f | a1c3f3a045077d893cd9ed970f5d687b590abfa5 | [
"BSD-3-Clause"
] | 1 | 2021-01-11T17:26:14.000Z | 2021-01-11T17:26:14.000Z | #!/usr/bin/env python
__version__ = '0.9.6'
| 9.2 | 21 | 0.630435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.608696 |
06d4487239efe1a625efc060f8606eba1b8fb684 | 3,410 | py | Python | tests/api_tests.py | muhozi/WeConnect | 46825d6ae27a7addbe8f7f2e298f5ee07cd9cf5f | [
"MIT"
] | 3 | 2018-04-07T07:39:19.000Z | 2018-04-13T14:15:26.000Z | tests/api_tests.py | muhozi/WeConnect | 46825d6ae27a7addbe8f7f2e298f5ee07cd9cf5f | [
"MIT"
] | 8 | 2018-03-01T21:11:05.000Z | 2022-03-21T22:16:43.000Z | tests/api_tests.py | muhozi/WeConnect | 46825d6ae27a7addbe8f7f2e298f5ee07cd9cf5f | [
"MIT"
] | 3 | 2018-04-24T03:34:44.000Z | 2018-07-19T09:53:08.000Z | """
Main test
"""
import unittest
import uuid
from api import APP
from flask import json
from api.models.user import User
from api.models.business import Business
from api.helpers import get_token
class MainTests(unittest.TestCase):
"""
Main test
"""
url_prefix = '/api/v1/'
def setUp(self... | 35.520833 | 79 | 0.550733 | 3,206 | 0.940176 | 0 | 0 | 0 | 0 | 0 | 0 | 1,177 | 0.345161 |
06d6a4324acde5c358d0bd6522e052a2ede943db | 423 | py | Python | cookbook/c05/p03_print_sepend.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 3 | 2018-09-19T06:44:13.000Z | 2019-03-24T10:07:07.000Z | cookbook/c05/p03_print_sepend.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 2 | 2020-09-19T17:10:23.000Z | 2020-10-17T16:43:52.000Z | cookbook/c05/p03_print_sepend.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 1 | 2020-12-22T06:33:18.000Z | 2020-12-22T06:33:18.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
Topic: print分隔符和结尾符
Desc :
"""
def print_sepend():
print('ACME', 50, 91.5)
print('ACME', 50, 91.5, sep=',')
print('ACME', 50, 91.5, sep=',', end='!!\n')
for i in range(5):
print(i)
for i in range(5):
print(i, end=' ')
print()
... | 17.625 | 48 | 0.501182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.336384 |
06da3baaeb27b37984af143aca6a52ab058a5588 | 122 | py | Python | src/config/config_loader.py | roybenyosef/loc-to-spot | 1db54a8481317f5cd2f746974dcdda2a632d02ec | [
"MIT"
] | null | null | null | src/config/config_loader.py | roybenyosef/loc-to-spot | 1db54a8481317f5cd2f746974dcdda2a632d02ec | [
"MIT"
] | null | null | null | src/config/config_loader.py | roybenyosef/loc-to-spot | 1db54a8481317f5cd2f746974dcdda2a632d02ec | [
"MIT"
] | null | null | null | import yaml
def read_config():
file_stream = open("config/config.yaml", "r")
return yaml.safe_load(file_stream)
| 17.428571 | 49 | 0.704918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.188525 |
06da67599586f6f3ad731d357524246723f211dc | 331 | py | Python | python/demo-django/code/character/models.py | denisroldan/talentum-2015-examples | 4980f49dca56a55d26722f4f6d1fdd88e06f38dd | [
"MIT"
] | null | null | null | python/demo-django/code/character/models.py | denisroldan/talentum-2015-examples | 4980f49dca56a55d26722f4f6d1fdd88e06f38dd | [
"MIT"
] | null | null | null | python/demo-django/code/character/models.py | denisroldan/talentum-2015-examples | 4980f49dca56a55d26722f4f6d1fdd88e06f38dd | [
"MIT"
] | null | null | null | from django.db import models
from game.models import Game
class Character(models.Model):
name = models.CharField(max_length=250)
game = models.ManyToManyField(Game, related_name='characters')
def __unicode__(self):
return "{0}".format(self.name)
def __str__(self):
return "{0}".format... | 25.461538 | 66 | 0.694864 | 271 | 0.818731 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.066465 |
06dacdda970f273fddcf69cadb01b1f2dd499e8c | 296 | py | Python | sim_test_model.py | feiyanke/simpy | bde9d09e47596e0bfe66dc7001f556bafd03acc5 | [
"MIT"
] | 1 | 2019-01-28T09:13:58.000Z | 2019-01-28T09:13:58.000Z | sim_test_model.py | feiyanke/simpy | bde9d09e47596e0bfe66dc7001f556bafd03acc5 | [
"MIT"
] | null | null | null | sim_test_model.py | feiyanke/simpy | bde9d09e47596e0bfe66dc7001f556bafd03acc5 | [
"MIT"
] | 2 | 2019-01-28T09:13:59.000Z | 2020-12-13T09:48:20.000Z | import math
import matplotlib.pyplot as plt
from simpy import model
ax1 = plt.subplot(121)
ax2 = plt.subplot(122)
model_sin = model.TimedFunctionModel(math.sin)
model_cos = model.TimedFunctionModel(math.cos)
scope = model.ScopeModel(ax1, ax2)
def run():
scope(model_sin(), model_cos())
| 17.411765 | 46 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06db5fed30a40e13ffe36a7460de36bf7c61b325 | 655 | py | Python | monthlysal.py | aja512/Python-Lab | 8f9c57d6d7f835e31a595223cdddf9c52ebe1cc9 | [
"Apache-2.0"
] | null | null | null | monthlysal.py | aja512/Python-Lab | 8f9c57d6d7f835e31a595223cdddf9c52ebe1cc9 | [
"Apache-2.0"
] | null | null | null | monthlysal.py | aja512/Python-Lab | 8f9c57d6d7f835e31a595223cdddf9c52ebe1cc9 | [
"Apache-2.0"
] | null | null | null | bs=input("Enter basic salary:")
days=input("Enter no. of working days:")
ovrti=input("Enter no. of overtime working hrs:")
deduct=0
if days<6:
deduct=3500
salary=calci(bs,days,ovrti,deduct)
elif days>=6 and days<=12:
deduct=1000
salary= calci(bs,days,ovrti,deduct)
elif days>=13 and days<=18:
deduct=800
... | 22.586207 | 49 | 0.690076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.184733 |
06db8ba3ca98cc15e56e2db049c572bc5f7c97a3 | 2,760 | py | Python | Day_10_classes_and_objects/day10_uzd1.py | ValRCS/Python_TietoEvry_Sep2021 | e11dac38deb17ba695ce8ad9dab9cf78b4adb99d | [
"MIT"
] | null | null | null | Day_10_classes_and_objects/day10_uzd1.py | ValRCS/Python_TietoEvry_Sep2021 | e11dac38deb17ba695ce8ad9dab9cf78b4adb99d | [
"MIT"
] | null | null | null | Day_10_classes_and_objects/day10_uzd1.py | ValRCS/Python_TietoEvry_Sep2021 | e11dac38deb17ba695ce8ad9dab9cf78b4adb99d | [
"MIT"
] | null | null | null | # class Song: # Song is name of Class, start with Capital letter
# def __init__(self, title="", author="", lyrics=tuple()): # constructor method called upon creation of object
# self.title = title
# self.author = author
# self.lyrics = lyrics
# # print(f"New Song made by Author: {s... | 34.5 | 115 | 0.595652 | 1,601 | 0.577561 | 0 | 0 | 488 | 0.176046 | 0 | 0 | 1,284 | 0.463203 |
06dc17868ef7177e219fa324d4ee2030cbe721d0 | 51 | py | Python | appengine/src/greenday_core/settings/__init__.py | meedan/montage | 4da0116931edc9af91f226876330645837dc9bcc | [
"Apache-2.0"
] | 6 | 2018-07-31T16:48:07.000Z | 2020-02-01T03:17:51.000Z | appengine/src/greenday_core/settings/__init__.py | meedan/montage | 4da0116931edc9af91f226876330645837dc9bcc | [
"Apache-2.0"
] | 41 | 2018-08-07T16:43:07.000Z | 2020-06-05T18:54:50.000Z | appengine/src/greenday_core/settings/__init__.py | meedan/montage | 4da0116931edc9af91f226876330645837dc9bcc | [
"Apache-2.0"
] | 1 | 2018-08-07T16:40:18.000Z | 2018-08-07T16:40:18.000Z | """
Modules to configure Django's settings
"""
| 12.75 | 42 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.980392 |
06dc1c17dd56d7e1a1011a34a1e1d9b273c1982c | 1,956 | py | Python | rurina2/widgets/text.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | rurina2/widgets/text.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | rurina2/widgets/text.py | TeaCondemns/rurina | 43725ebea5872953125271a9abb300a4e3a80a64 | [
"MIT"
] | null | null | null | from constants import STYLE_NORMAL, STYLE_BOLD, STYLE_ITALIC
from prefabs.text import write_autoline
from widgets.widget import WidgetByRect
from base_node import get_surface
from prefabs.surface import blit
from shape import Rect
import pygame
class Text(WidgetByRect):
def __init__(
self,
... | 25.402597 | 90 | 0.541922 | 1,681 | 0.859407 | 0 | 0 | 499 | 0.255112 | 0 | 0 | 15 | 0.007669 |
06dcdfc975ea640979bb4f316bbb031845b68fa5 | 5,350 | py | Python | Chapter05/B12322_05_code upload/topic_categorization.py | PacktPublishing/Python-Machine-Learning-By-Example-Second-Edition | 830ad0124dc72c3a24929ff1b67081a66894f1f9 | [
"MIT"
] | 31 | 2019-05-25T11:28:23.000Z | 2022-02-09T15:19:20.000Z | Chapter05/B12322_05_code upload/topic_categorization.py | PacktPublishing/Python-Machine-Learning-By-Example-Second-Edition | 830ad0124dc72c3a24929ff1b67081a66894f1f9 | [
"MIT"
] | null | null | null | Chapter05/B12322_05_code upload/topic_categorization.py | PacktPublishing/Python-Machine-Learning-By-Example-Second-Edition | 830ad0124dc72c3a24929ff1b67081a66894f1f9 | [
"MIT"
] | 22 | 2019-02-27T20:11:39.000Z | 2022-03-07T21:46:38.000Z | '''
Source codes for Python Machine Learning By Example 2nd Edition (Packt Publishing)
Chapter 5: Classifying Newsgroup Topic with Support Vector Machine
Author: Yuxi (Hayden) Liu
'''
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.datasets import fetch_20newsgroups
from nltk.corpus import nam... | 31.470588 | 108 | 0.774393 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 900 | 0.168224 |
06de4f84c6d45b4b9c062aad81f802376fdf7b81 | 9,076 | py | Python | lib/enthought/traits/ui/key_bindings.py | mattfoster/matplotlib | 0b47697b19b77226c633ec6a3d74a2199a153315 | [
"PSF-2.0",
"BSD-3-Clause"
] | 1 | 2016-05-08T18:33:12.000Z | 2016-05-08T18:33:12.000Z | lib/enthought/traits/ui/key_bindings.py | mattfoster/matplotlib | 0b47697b19b77226c633ec6a3d74a2199a153315 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | lib/enthought/traits/ui/key_bindings.py | mattfoster/matplotlib | 0b47697b19b77226c633ec6a3d74a2199a153315 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | #-------------------------------------------------------------------------------
#
# Written by: David C. Morrill
#
# Date: 05/20/2005
#
# (c) Copyright 2005 by Enthought, Inc.
#
# Classes defined: KeyBinding, KeyBindings
#
#-------------------------------------------------------------------------------
""" Defines... | 42.213953 | 80 | 0.368114 | 7,519 | 0.828449 | 0 | 0 | 0 | 0 | 0 | 0 | 4,688 | 0.516527 |
06e007230d32188f666bcfa817cb0d72deaa62d6 | 639 | py | Python | cocos#275--HTMLLabel/html_label_test.py | los-cocos/etc_code | 71c642a5e0f7ff8049cb5fb4ecac3f166ca20280 | [
"MIT"
] | 2 | 2016-08-28T19:41:47.000Z | 2018-12-14T22:01:26.000Z | cocos#275--HTMLLabel/html_label_test.py | los-cocos/etc_code | 71c642a5e0f7ff8049cb5fb4ecac3f166ca20280 | [
"MIT"
] | null | null | null | cocos#275--HTMLLabel/html_label_test.py | los-cocos/etc_code | 71c642a5e0f7ff8049cb5fb4ecac3f166ca20280 | [
"MIT"
] | 2 | 2015-09-21T06:55:12.000Z | 2020-05-29T14:34:34.000Z | #!/usr/bin/env python3
# -*-coding:utf-8 -*
import cocos
from cocos.text import HTMLLabel
from cocos.director import director
class TestLayer(cocos.layer.Layer):
def __init__(self):
super(TestLayer, self).__init__()
x, y = director.get_window_size()
self.text = HTMLLabel("""<center><font... | 24.576923 | 68 | 0.640063 | 334 | 0.522692 | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 0.242567 |
06e062374abeb59d36c97a31d852af3b3fb9d03c | 4,284 | py | Python | depronoun.py | rui-bettencourt/AutomaticSentenceDivision | 4cb29897103189791c932aaea42c8d5b4ecd8bcd | [
"MIT"
] | null | null | null | depronoun.py | rui-bettencourt/AutomaticSentenceDivision | 4cb29897103189791c932aaea42c8d5b4ecd8bcd | [
"MIT"
] | null | null | null | depronoun.py | rui-bettencourt/AutomaticSentenceDivision | 4cb29897103189791c932aaea42c8d5b4ecd8bcd | [
"MIT"
] | null | null | null | #
from nltk.tokenize import word_tokenize
from xml.dom import minidom
import progressbar
from time import sleep
input_file = 'data/dataset_output.txt'
num_lines = sum(1 for line in open(input_file))
read_file = open(input_file, 'r')
write_output_file = open('data/dataset_output_no_pronouns.txt', 'w')
pronouns = ['h... | 33.46875 | 157 | 0.614613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 837 | 0.195378 |
06e4f094f267243cc672eb7459a8a3c1167d18f8 | 2,794 | py | Python | pyaws/utils/userinput.py | mwozniczak/pyaws | af8f6d64ff47fd2ef2eb9fef25680e4656523fa3 | [
"MIT"
] | null | null | null | pyaws/utils/userinput.py | mwozniczak/pyaws | af8f6d64ff47fd2ef2eb9fef25680e4656523fa3 | [
"MIT"
] | null | null | null | pyaws/utils/userinput.py | mwozniczak/pyaws | af8f6d64ff47fd2ef2eb9fef25680e4656523fa3 | [
"MIT"
] | null | null | null | """
Python3 Module
Summary:
User Input Manipulation
"""
import re
from string import ascii_lowercase
def bool_assignment(arg, patterns=None):
"""
Summary:
Enforces correct bool argment assignment
Arg:
:arg (*): arg which must be interpreted as either bool True or False
Returns:
... | 30.043011 | 100 | 0.566929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,203 | 0.430565 |
06e51ad894ceaca1307a132e1efdb1fe4242fe80 | 17,008 | py | Python | batches.py | NRHelmi/ldbc_snb_data_converter | 42eb5dfbe8b46bcb4d8ad56e1fd988e7635deea3 | [
"Apache-2.0"
] | 2 | 2021-01-22T10:07:18.000Z | 2021-02-09T18:13:28.000Z | batches.py | NRHelmi/ldbc_snb_data_converter | 42eb5dfbe8b46bcb4d8ad56e1fd988e7635deea3 | [
"Apache-2.0"
] | 5 | 2021-02-11T23:12:05.000Z | 2021-05-21T12:16:29.000Z | batches.py | szarnyasg/ldbc-example-graph | 1fd52bc60d50cf5184ee1331369d754db2b8489f | [
"Apache-2.0"
] | 1 | 2022-03-24T20:02:23.000Z | 2022-03-24T20:02:23.000Z | import duckdb
from datetime import date
from dateutil.relativedelta import relativedelta
import os
import shutil
con = duckdb.connect(database='ldbc.duckdb', read_only=False)
# batches are selected from the [network_start_date, network_end_date) interval,
# each batch denotes a [batch_start_date, batch_end_date) wher... | 50.619048 | 350 | 0.596954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14,060 | 0.82667 |
06e980c4f9e4c64a9ff9ed3aae6e787174a3969c | 193 | py | Python | College grade 2/Python 3/Lab_2/Ansel/exercise 1.py | SimonH19009/Lzu_Data-science | bd35c5e156b0db21c3585c11dce15fba0b7003e2 | [
"MIT"
] | 1 | 2022-03-06T05:30:44.000Z | 2022-03-06T05:30:44.000Z | College grade 2/Python 3/Lab_2/Ansel/exercise 1.py | SimonH19009/Lzu_Data-science | bd35c5e156b0db21c3585c11dce15fba0b7003e2 | [
"MIT"
] | null | null | null | College grade 2/Python 3/Lab_2/Ansel/exercise 1.py | SimonH19009/Lzu_Data-science | bd35c5e156b0db21c3585c11dce15fba0b7003e2 | [
"MIT"
] | 1 | 2022-03-06T06:07:40.000Z | 2022-03-06T06:07:40.000Z | try:
a=int(input("Please enter a number:"))
if 9<a<100:
a = str(a)
print(a[0])
print(a[1])
else:
print("no correct")
except:
print("no correct")
| 17.545455 | 42 | 0.487047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.248705 |
06eb8e9951d11356b784f19e2310c1cacd28857e | 122 | py | Python | gameLogic/__init__.py | JoelEager/pyTanks-Server | 4455c0475980ea1372f11d7ec41d95990b3c8f44 | [
"MIT"
] | 5 | 2017-09-04T09:36:40.000Z | 2019-10-31T20:52:13.000Z | gameLogic/__init__.py | JoelEager/pyTanks-Server | 4455c0475980ea1372f11d7ec41d95990b3c8f44 | [
"MIT"
] | 3 | 2018-12-28T08:09:51.000Z | 2019-01-04T20:36:47.000Z | gameLogic/__init__.py | JoelEager/pyTanks-Server | 4455c0475980ea1372f11d7ec41d95990b3c8f44 | [
"MIT"
] | 1 | 2018-12-28T08:12:36.000Z | 2018-12-28T08:12:36.000Z | """
Contains all the logic for running the game (game clock, per-frame logic, game state update generation, and so on)
""" | 40.666667 | 114 | 0.737705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 1 |
06f25df0cac2fd1a3b4a6fa7c42cbde635e84014 | 1,131 | py | Python | hypothesis/nn/neuromodulation/base.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 45 | 2019-02-13T14:16:35.000Z | 2022-02-23T21:30:02.000Z | hypothesis/nn/neuromodulation/base.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 1 | 2020-01-13T08:29:50.000Z | 2020-01-22T10:28:02.000Z | hypothesis/nn/neuromodulation/base.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 8 | 2019-04-23T14:25:08.000Z | 2021-07-28T15:05:31.000Z | import hypothesis
import torch
from hypothesis.nn.util import list_modules_with_type
def allocate_neuromodulated_activation(activation, allocator):
class LambdaNeuromodulatedActivation(BaseNeuromodulatedModule):
def __init__(self):
super(LambdaNeuromodulatedActivation, self).__init__(
... | 26.928571 | 87 | 0.715296 | 783 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06f368aa1460565e63ed4a80b862ae97a70212cf | 1,151 | py | Python | 2.py | zweed4u/dailycodingproblem | 6e40eaad347e283f86a11adeff01c6426211a0be | [
"MIT"
] | null | null | null | 2.py | zweed4u/dailycodingproblem | 6e40eaad347e283f86a11adeff01c6426211a0be | [
"MIT"
] | null | null | null | 2.py | zweed4u/dailycodingproblem | 6e40eaad347e283f86a11adeff01c6426211a0be | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
Good morning! Here's your coding interview problem for today.
This problem was asked by Uber.
Given an array of integers, return a new array such that each element at index i of the new array is the product of all the numbers in the original array except the one at i.
For example, if our input... | 28.775 | 174 | 0.636838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 564 | 0.490009 |
06fbcffd6a9d16ac26a727dde7c14ddf62ce182c | 3,685 | py | Python | ldap_login/management/commands/importLDAPusers.py | knightsamar/change_agent | 53e8b6335f5f6856ae12dba6a509e4147c68a004 | [
"Apache-2.0"
] | null | null | null | ldap_login/management/commands/importLDAPusers.py | knightsamar/change_agent | 53e8b6335f5f6856ae12dba6a509e4147c68a004 | [
"Apache-2.0"
] | null | null | null | ldap_login/management/commands/importLDAPusers.py | knightsamar/change_agent | 53e8b6335f5f6856ae12dba6a509e4147c68a004 | [
"Apache-2.0"
] | null | null | null | from django.core.management.base import NoArgsCommand, CommandError;
from ldap_login.ldapUtils import ldapManager;
from ldap_login.models import user,group,Role;
from datetime import datetime;
import traceback;
class Command(NoArgsCommand):
"""Import LDAP users from Active Directory.
Uses the ldapUtils back... | 46.64557 | 131 | 0.536228 | 3,459 | 0.93867 | 0 | 0 | 0 | 0 | 0 | 0 | 1,202 | 0.326187 |
06fe538ead84c59a5f996694a885042a2b6cbe93 | 822 | py | Python | rocketchat_API/APISections/subscriptions.py | dudanogueira/rocketchat_API | 190952f07ce04a356c79ad29e9d1e01dea620ba6 | [
"MIT"
] | 210 | 2017-03-20T13:36:24.000Z | 2022-03-30T17:37:02.000Z | rocketchat_API/APISections/subscriptions.py | dudanogueira/rocketchat_API | 190952f07ce04a356c79ad29e9d1e01dea620ba6 | [
"MIT"
] | 144 | 2017-03-21T13:50:22.000Z | 2022-03-28T09:43:26.000Z | rocketchat_API/APISections/subscriptions.py | dudanogueira/rocketchat_API | 190952f07ce04a356c79ad29e9d1e01dea620ba6 | [
"MIT"
] | 103 | 2017-03-20T13:54:54.000Z | 2022-03-22T05:00:18.000Z | from rocketchat_API.APISections.base import RocketChatBase
class RocketChatSubscriptions(RocketChatBase):
def subscriptions_get(self, **kwargs):
"""Get all subscriptions."""
return self.call_api_get("subscriptions.get", kwargs=kwargs)
def subscriptions_get_one(self, room_id, **kwargs):
... | 41.1 | 88 | 0.708029 | 760 | 0.924574 | 0 | 0 | 0 | 0 | 0 | 0 | 229 | 0.278589 |
06fefeedf2e0b5eb6fdb9935285ddf733447d30c | 1,081 | py | Python | accounts/models.py | Phist0ne/webvirtcloud | d94ca38e5c8b5bb1323d33067ee6b991775cc390 | [
"Apache-2.0"
] | 2 | 2018-03-14T09:46:49.000Z | 2019-05-14T11:45:14.000Z | accounts/models.py | JamesLinus/webvirtcloud | d94ca38e5c8b5bb1323d33067ee6b991775cc390 | [
"Apache-2.0"
] | 1 | 2018-03-01T04:05:25.000Z | 2018-10-01T08:30:00.000Z | accounts/models.py | caicloud/webvirtcloud | d94ca38e5c8b5bb1323d33067ee6b991775cc390 | [
"Apache-2.0"
] | 1 | 2019-06-11T19:54:08.000Z | 2019-06-11T19:54:08.000Z | from django.db import models
from django.contrib.auth.models import User
from instances.models import Instance
class UserInstance(models.Model):
user = models.ForeignKey(User)
instance = models.ForeignKey(Instance)
is_change = models.BooleanField(default=False)
is_delete = models.BooleanField(default=... | 30.885714 | 63 | 0.747456 | 962 | 0.889917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6600b5f654aa204f83a56f1407440180c9d9fa01 | 8,744 | py | Python | sdk/python/pulumi_cloudflare/custom_ssl.py | vijayraavi/pulumi-cloudflare | ba61514d650fc7a5a2667147519de213c07344b8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_cloudflare/custom_ssl.py | vijayraavi/pulumi-cloudflare | ba61514d650fc7a5a2667147519de213c07344b8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_cloudflare/custom_ssl.py | vijayraavi/pulumi-cloudflare | ba61514d650fc7a5a2667147519de213c07344b8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from . import utilities, tables
class CustomS... | 60.722222 | 440 | 0.688358 | 8,435 | 0.964661 | 0 | 0 | 2,984 | 0.341263 | 0 | 0 | 5,798 | 0.663083 |
66012301064b5709a93a6fcc63e250bae442c6d6 | 1,804 | py | Python | main.py | PortosKo/Python_Lesson_2 | 160c569f17d21cc1f2e48227b526a49594e90d59 | [
"MIT"
] | null | null | null | main.py | PortosKo/Python_Lesson_2 | 160c569f17d21cc1f2e48227b526a49594e90d59 | [
"MIT"
] | null | null | null | main.py | PortosKo/Python_Lesson_2 | 160c569f17d21cc1f2e48227b526a49594e90d59 | [
"MIT"
] | null | null | null | #Задачи на циклы и оператор условия------
#----------------------------------------
'''
# Задача 1
Вывести на экран циклом пять строк из нулей, причем каждая строка должна быть пронумерована.
'''
print ('Задача1')
x = 0
for x in range (1,6,):
print (x,0)
'''
Задача 2
Пользователь в цикле вводит 10 цифр. Найти к... | 15.288136 | 92 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,551 | 0.64197 |
660235efa168bc77f41850e9696ac1ce83979716 | 5,062 | py | Python | config_loader/loader.py | egabancho/config-loader | af45c7bef3afe4dee930754386a1763a28574d6c | [
"MIT"
] | null | null | null | config_loader/loader.py | egabancho/config-loader | af45c7bef3afe4dee930754386a1763a28574d6c | [
"MIT"
] | null | null | null | config_loader/loader.py | egabancho/config-loader | af45c7bef3afe4dee930754386a1763a28574d6c | [
"MIT"
] | null | null | null | """Configuration loader class."""
import ast
import logging
import os
import types
from operator import attrgetter
import pkg_resources
logger = logging.getLogger(__name__)
class Config(object):
"""Configuration loader, it's like a normal dictionary with super-powers.
It will load configuration in the fol... | 32.87013 | 79 | 0.633544 | 4,883 | 0.964638 | 0 | 0 | 239 | 0.047215 | 0 | 0 | 2,340 | 0.462268 |
6603d02ce7ae8ff687520b5fd3b5f402880ef876 | 1,616 | py | Python | tginviter/storage/base_storage.py | cuamckuu/tg-inviter | 80b8d4664d1e2628b46ac1a6d58f8495c408d4b4 | [
"MIT"
] | 20 | 2020-08-24T19:11:38.000Z | 2022-03-17T19:24:50.000Z | tginviter/storage/base_storage.py | bequirky12/tg-inviter | 5cad1bc1afce101be03a2cee805931e77b7f6842 | [
"MIT"
] | null | null | null | tginviter/storage/base_storage.py | bequirky12/tg-inviter | 5cad1bc1afce101be03a2cee805931e77b7f6842 | [
"MIT"
] | 8 | 2021-02-05T11:51:21.000Z | 2022-03-22T08:48:44.000Z | import abc
from typing import AbstractSet
class BaseStorage(abc.ABC):
"""Abstract base class for storing invite link tokens"""
def insert(self, token: str, *, payload: dict, max_uses=1):
"""Insert token to storage. Shoud call super().insert(...)"""
if type(payload) != dict:
raise... | 31.076923 | 76 | 0.631188 | 1,571 | 0.972153 | 0 | 0 | 829 | 0.512995 | 0 | 0 | 590 | 0.365099 |
660466e84335250fcffeb29f786f70f54055b5a4 | 874 | py | Python | docker/run.py | lvxiaojie111/2019NCCCU- | 5b2d2b3a6e70e5b447ccaecd02fbead4763db82d | [
"Apache-2.0"
] | 3 | 2020-10-18T02:16:37.000Z | 2020-10-18T02:30:03.000Z | docker/run.py | lvxiaojie111/2019NCCCU- | 5b2d2b3a6e70e5b447ccaecd02fbead4763db82d | [
"Apache-2.0"
] | null | null | null | docker/run.py | lvxiaojie111/2019NCCCU- | 5b2d2b3a6e70e5b447ccaecd02fbead4763db82d | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import os
import pandas as pd
import testmodel
import imageio
if __name__ == "__main__":
#################### 不可修改区域开始 ######################
testpath = '/home/data/' #测试集路径。包含验证码图片文件
result_folder_path = '/code/result/submission.csv' ... | 32.37037 | 74 | 0.613272 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 666 | 0.606557 |
6604fb1cbe01eb3c82eaa8f6e34b1bd3c2c37677 | 359 | py | Python | app/api/v1/__init__.py | Ethan-Ceng/Flask-CMS | 2fe2664e9ae60affe277e9c3b50c18a2e32e422b | [
"MIT"
] | null | null | null | app/api/v1/__init__.py | Ethan-Ceng/Flask-CMS | 2fe2664e9ae60affe277e9c3b50c18a2e32e422b | [
"MIT"
] | null | null | null | app/api/v1/__init__.py | Ethan-Ceng/Flask-CMS | 2fe2664e9ae60affe277e9c3b50c18a2e32e422b | [
"MIT"
] | null | null | null | from flask import Blueprint
from app.api.v1 import user, book, client, token
def create_blueprint():
bp_v1 = Blueprint('v1', __name__)
user.api.register(bp_v1, url_prefix='/client')
user.api.register(bp_v1, url_prefix='/user')
book.api.register(bp_v1, url_prefix='/book')
book.api.register(bp_v1, ... | 25.642857 | 50 | 0.707521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.097493 |
66055a1c87077054947e4816c06f4763187ad5d0 | 3,125 | py | Python | draugr/visualisation/seaborn_utilities/seaborn_enums.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 3 | 2019-09-27T08:04:59.000Z | 2020-12-02T06:14:45.000Z | draugr/visualisation/seaborn_utilities/seaborn_enums.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 64 | 2019-09-27T08:03:42.000Z | 2022-03-28T15:07:30.000Z | draugr/visualisation/seaborn_utilities/seaborn_enums.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 1 | 2020-10-01T00:18:57.000Z | 2020-10-01T00:18:57.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "Christian Heider Nielsen"
__doc__ = r"""
Created on 26-01-2021
"""
from enum import Enum
from typing import Tuple
import numpy
from matplotlib import patheffects, pyplot
__all__ = ["plot_median_labels", "show_values_on_bars"]
from ... | 28.935185 | 86 | 0.57632 | 267 | 0.08544 | 0 | 0 | 0 | 0 | 0 | 0 | 836 | 0.26752 |
6606cccffcd956e1fc4991eb79ef12938f47ff11 | 523 | py | Python | get_gecko_driver/platforms.py | zaironjacobs/get-gecko-driver | 33a4a90c3a96b2e5519722f3dfab075b57e6482d | [
"MIT"
] | 3 | 2021-08-16T14:49:55.000Z | 2022-03-20T14:44:13.000Z | get_gecko_driver/platforms.py | zaironjacobs/get-gecko-driver | 33a4a90c3a96b2e5519722f3dfab075b57e6482d | [
"MIT"
] | null | null | null | get_gecko_driver/platforms.py | zaironjacobs/get-gecko-driver | 33a4a90c3a96b2e5519722f3dfab075b57e6482d | [
"MIT"
] | 1 | 2022-02-19T08:41:57.000Z | 2022-02-19T08:41:57.000Z | class Platforms:
@property
def win(self):
return 'win'
@property
def linux(self):
return 'linux'
@property
def macos(self):
return 'macos'
@property
def win_32(self):
return 'win32'
@property
def win_64(self):
return 'win64'
@prop... | 15.382353 | 49 | 0.552581 | 522 | 0.998088 | 0 | 0 | 458 | 0.875717 | 0 | 0 | 51 | 0.097514 |
66085420dcc9a5728829c81982cb5b8af048ece5 | 1,061 | py | Python | py/callback_dashboard.py | pnvnd/plotly | ede0bb0bb92484c2e3bf4e3631fa97f547e02c16 | [
"Unlicense"
] | null | null | null | py/callback_dashboard.py | pnvnd/plotly | ede0bb0bb92484c2e3bf4e3631fa97f547e02c16 | [
"Unlicense"
] | null | null | null | py/callback_dashboard.py | pnvnd/plotly | ede0bb0bb92484c2e3bf4e3631fa97f547e02c16 | [
"Unlicense"
] | 1 | 2022-01-22T17:19:25.000Z | 2022-01-22T17:19:25.000Z | from dash import dash, dcc, html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
url = 'csv/covidtesting.csv'
df = pd.read_csv(url)
app = dash.Dash()
# list = df.columns[1:]
# filter_options = []
# for option in list:
# filter_options.append({'label': str(option), ... | 24.113636 | 89 | 0.597549 | 0 | 0 | 0 | 0 | 468 | 0.441093 | 0 | 0 | 394 | 0.371348 |
6608592b97fcda5eb8dc5fb8cb22369434750380 | 4,288 | py | Python | appface.py | iljoong/FaceTag | c43fce89c92ce6de2f397580d80aa834d3e2dbb6 | [
"MIT"
] | 2 | 2021-11-12T15:30:55.000Z | 2021-11-14T13:53:13.000Z | appface.py | iljoong/FaceTag | c43fce89c92ce6de2f397580d80aa834d3e2dbb6 | [
"MIT"
] | 1 | 2018-07-31T08:30:33.000Z | 2018-08-01T04:44:52.000Z | appface.py | iljoong/FaceTag | c43fce89c92ce6de2f397580d80aa834d3e2dbb6 | [
"MIT"
] | 1 | 2021-11-12T15:31:00.000Z | 2021-11-12T15:31:00.000Z | ###############################################################################################
from keras.models import Model, load_model
from PIL import Image
import numpy as np
import time
import cv2
import os
import logging
import pymongo
#import dlib
import requests
import appconfig
import json
cascade = cv2.Cas... | 28.586667 | 145 | 0.614039 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,598 | 0.372668 |
6608e0e22e04d214ade1044f1d502d28fa22890a | 5,488 | py | Python | src/object2.py | vmlaker/sherlock | 4827803400907cb892b73f74736b151463fcda27 | [
"MIT"
] | 62 | 2015-01-01T16:26:36.000Z | 2022-03-07T11:38:57.000Z | src/object2.py | vmlaker/sherlock | 4827803400907cb892b73f74736b151463fcda27 | [
"MIT"
] | null | null | null | src/object2.py | vmlaker/sherlock | 4827803400907cb892b73f74736b151463fcda27 | [
"MIT"
] | 13 | 2015-08-01T10:54:13.000Z | 2020-12-05T02:19:23.000Z | """Object detection pipeline."""
import multiprocessing
import datetime
import time
import sys
import cv2
import numpy as np
import socket
import sharedmem
import mpipe
import coils
import util
DEVICE = int(sys.argv[1])
WIDTH = int(sys.argv[2])
HEIGHT = int(sys.argv[3])
DURATION = float(sys.argv[4]) # In se... | 29.347594 | 81 | 0.622085 | 1,936 | 0.35277 | 0 | 0 | 0 | 0 | 0 | 0 | 1,725 | 0.314322 |
6609a45086c57a15190dcecf91e35dfc73259aed | 78 | py | Python | answers/001/answer1.py | PyLadiesTokyo/pyladies-tokyo-homework | 3727451d073eb6e9b48f3cd0561c3b64b109f3a5 | [
"Apache-2.0"
] | null | null | null | answers/001/answer1.py | PyLadiesTokyo/pyladies-tokyo-homework | 3727451d073eb6e9b48f3cd0561c3b64b109f3a5 | [
"Apache-2.0"
] | null | null | null | answers/001/answer1.py | PyLadiesTokyo/pyladies-tokyo-homework | 3727451d073eb6e9b48f3cd0561c3b64b109f3a5 | [
"Apache-2.0"
] | 1 | 2020-12-27T13:05:44.000Z | 2020-12-27T13:05:44.000Z | # 1から10までの整数を表示する
for num in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]:
print(num) | 26 | 44 | 0.538462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.411765 |
660ac2d8937432f3e9a4b2a9a74404def921da17 | 132 | py | Python | lab2_typyOperacje/2.15.py | Damian9449/Python | dc9091e15356733821bbb6a768b7d5e428640340 | [
"MIT"
] | 1 | 2017-11-15T13:03:40.000Z | 2017-11-15T13:03:40.000Z | lab2_typyOperacje/2.15.py | Damian9449/Python | dc9091e15356733821bbb6a768b7d5e428640340 | [
"MIT"
] | null | null | null | lab2_typyOperacje/2.15.py | Damian9449/Python | dc9091e15356733821bbb6a768b7d5e428640340 | [
"MIT"
] | null | null | null | #!/usr/bin/python
L = [1, 3, 6, 77, 34, 45, 26, 81]
result = ""
for number in L:
result = result + str(number)
print(result)
| 13.2 | 33 | 0.575758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.143939 |
660bd601b31c2cdb55bcbc98f8dc987a833cfa02 | 2,743 | py | Python | af_scripts/tmp/blendShapeEditor.py | aaronfang/small-Scripts | 890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d | [
"MIT"
] | 1 | 2018-03-08T16:34:00.000Z | 2018-03-08T16:34:00.000Z | af_scripts/tmp/blendShapeEditor.py | aaronfang/personal_scripts | 890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d | [
"MIT"
] | null | null | null | af_scripts/tmp/blendShapeEditor.py | aaronfang/personal_scripts | 890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d | [
"MIT"
] | null | null | null | import maya.cmds as cmds
class blendShapeEditor(object):
def __init__(self):
self.blendshape_node = blendshape_node = []
self.target_nodes = target_nodes = []
def prepareOrginialGeo(self,*args):
sel = cmds.ls(sl=True)[0]
if '_org' in sel:
blendshape_base_geo = cmds... | 49.872727 | 133 | 0.629603 | 2,682 | 0.977762 | 0 | 0 | 0 | 0 | 0 | 0 | 473 | 0.172439 |
660c4602652eeabae6b9b5b5f22abc8c78653e52 | 134 | py | Python | bugtests/test000.py | doom38/jython_v2.2.1 | 0803a0c953c294e6d14f9fc7d08edf6a3e630a15 | [
"CNRI-Jython"
] | null | null | null | bugtests/test000.py | doom38/jython_v2.2.1 | 0803a0c953c294e6d14f9fc7d08edf6a3e630a15 | [
"CNRI-Jython"
] | null | null | null | bugtests/test000.py | doom38/jython_v2.2.1 | 0803a0c953c294e6d14f9fc7d08edf6a3e630a15 | [
"CNRI-Jython"
] | null | null | null | """
Basic test, just raises a TestWarning
"""
import support
raise support.TestWarning('A test of TestWarning. It is not an error')
| 16.75 | 70 | 0.738806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0.656716 |
660dfb4d814fae5a38c519d53465f866ae0f301e | 5,511 | py | Python | model.py | braemt/attentive-multi-task-deep-reinforcement-learning | 921feefce98076f88c892f0b7e6db8572f596763 | [
"MIT"
] | 12 | 2019-04-07T02:04:48.000Z | 2022-03-22T12:57:47.000Z | model.py | braemt/attentive-multi-task-deep-reinforcement-learning | 921feefce98076f88c892f0b7e6db8572f596763 | [
"MIT"
] | null | null | null | model.py | braemt/attentive-multi-task-deep-reinforcement-learning | 921feefce98076f88c892f0b7e6db8572f596763 | [
"MIT"
] | 7 | 2019-04-07T02:04:49.000Z | 2020-12-28T10:30:27.000Z | import numpy as np
import tensorflow as tf
def normalized_columns_initializer(std=1.0):
def _initializer(shape, dtype=None, partition_info=None):
out = np.random.randn(*shape).astype(np.float32)
out *= std / np.sqrt(np.square(out).sum(axis=0, keepdims=True))
return tf.constant(out)
ret... | 46.310924 | 119 | 0.577209 | 3,313 | 0.601161 | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 0.068953 |
660ea1a100d2f6604cf5b576d0992caedb50b349 | 632 | py | Python | src/data/852.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/852.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/852.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | from collections import deque
n, q = map(int, input().split())
graph = [[] for _ in range(n + 1)]
for i in range(n - 1):
a, b = map(int, input().split())
graph[a].append(b)
graph[b].append(a)
CD = []
for i in range(q):
e, f = map(int, input().split())
CD.append([e, f])
dist = [-1] * (n + 1)
dis... | 16.631579 | 36 | 0.47943 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.018987 |
6611e568c85da823794769b3aacdd4d28bc257c0 | 265,414 | py | Python | stashboard/contrib/status_images.py | l1kw1d/stashboard | 3e4b18a8168c102d1e1d7f88fec22bcbfc530d23 | [
"MIT"
] | 761 | 2015-01-01T05:28:26.000Z | 2022-03-24T10:07:31.000Z | stashboard/contrib/status_images.py | l1kw1d/stashboard | 3e4b18a8168c102d1e1d7f88fec22bcbfc530d23 | [
"MIT"
] | 11 | 2015-02-05T23:43:47.000Z | 2019-01-10T13:43:42.000Z | stashboard/contrib/status_images.py | l1kw1d/stashboard | 3e4b18a8168c102d1e1d7f88fec22bcbfc530d23 | [
"MIT"
] | 226 | 2015-01-05T15:04:45.000Z | 2022-03-23T11:41:00.000Z | # Copyright (c) 2010 Twilio Inc.
#
# 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, distri... | 25.193545 | 79 | 0.472439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 165,519 | 0.623626 |
6613dec8d628000fe7b472846f82eac73bd8f3ea | 49,047 | py | Python | autojail/config/memory.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | autojail/config/memory.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | autojail/config/memory.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | import copy
import logging
import math
import sys
from collections import defaultdict
from functools import reduce
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Sequence,
Tuple,
Union,
)
import tabulate
from ortools.sat.python import cp_model
from ..model impo... | 35.438584 | 140 | 0.538728 | 48,355 | 0.985891 | 0 | 0 | 291 | 0.005933 | 0 | 0 | 4,099 | 0.083573 |
661499e1d6e03e831ef662b0f10bed15a0e0160c | 806 | py | Python | tests/test_util.py | tsufeki/python-restclientaio | 2af2ded9e22ba5552ace193691ed3a4b520cadf8 | [
"BSD-2-Clause"
] | null | null | null | tests/test_util.py | tsufeki/python-restclientaio | 2af2ded9e22ba5552ace193691ed3a4b520cadf8 | [
"BSD-2-Clause"
] | null | null | null | tests/test_util.py | tsufeki/python-restclientaio | 2af2ded9e22ba5552ace193691ed3a4b520cadf8 | [
"BSD-2-Clause"
] | null | null | null |
import pytest
from restclientaio._util import *
class TestFullName:
@pytest.mark.parametrize('args,expected', [
((str,), 'builtins.str'),
((str, 'lower'), 'builtins.str.lower'),
])
def test_full_name(self, args, expected):
assert full_name(*args) == expected
class TestFormatRe... | 25.1875 | 74 | 0.555831 | 750 | 0.930521 | 0 | 0 | 545 | 0.676179 | 0 | 0 | 152 | 0.188586 |
6615213f91d714c671d2fcc45dfcb7ea7995394c | 1,112 | py | Python | experiments/test_experiments.py | srikarym/torchrl | fee98e78ac1657a2c9a4063dd8d63ba207a121e2 | [
"Apache-2.0"
] | 3 | 2019-02-27T19:00:32.000Z | 2020-07-19T03:18:28.000Z | experiments/test_experiments.py | srikarym/torchrl | fee98e78ac1657a2c9a4063dd8d63ba207a121e2 | [
"Apache-2.0"
] | null | null | null | experiments/test_experiments.py | srikarym/torchrl | fee98e78ac1657a2c9a4063dd8d63ba207a121e2 | [
"Apache-2.0"
] | null | null | null | # pylint: disable=redefined-outer-name
"""Test Experiments.
This test runs all problems and hyperparameter
pairs for 100 time steps. It only guarantees
correct API compatiblity and not the problem
performance metrics.
"""
import pytest
from torchrl import registry
from torchrl.cli.commands.run import do_run
proble... | 24.711111 | 72 | 0.714029 | 0 | 0 | 335 | 0.301259 | 591 | 0.531475 | 0 | 0 | 366 | 0.329137 |
661546474c795c91d1a7e8fb806431b8b074972c | 3,289 | py | Python | gw2_price_get.py | rpatricktaylor/gw2_pricepull | ede658cd7cb567d8ab7e6c7698acee83eacc78a3 | [
"MIT"
] | null | null | null | gw2_price_get.py | rpatricktaylor/gw2_pricepull | ede658cd7cb567d8ab7e6c7698acee83eacc78a3 | [
"MIT"
] | null | null | null | gw2_price_get.py | rpatricktaylor/gw2_pricepull | ede658cd7cb567d8ab7e6c7698acee83eacc78a3 | [
"MIT"
] | null | null | null | import json
import time
import bs4
import numpy as np
import pandas as pd
import requests as rqs
url_apiV2 = r'https://api.guildwars2.com/v2'
working_dir = r'/home/ubuntu/'
def gw2_request(request_type, item_nums, retries = 25):
item_num_str = ','.join([str(num) for num in item_nums])
req... | 29.366071 | 89 | 0.549407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 334 | 0.101551 |
66160d3954e8f1108b126460356e2b0740e00e9e | 2,055 | py | Python | create_db.py | vladstorm98/TaskBoard | ebe4244cc5cbdfda2fdaac84c0158692f440517c | [
"MIT"
] | null | null | null | create_db.py | vladstorm98/TaskBoard | ebe4244cc5cbdfda2fdaac84c0158692f440517c | [
"MIT"
] | null | null | null | create_db.py | vladstorm98/TaskBoard | ebe4244cc5cbdfda2fdaac84c0158692f440517c | [
"MIT"
] | null | null | null | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import Config
app = Flask(__name__)
app.config.from_object(Config)
db = SQLAlchemy(app)
class User(db.Model):
__tablename__ = 'user'
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String(128), ind... | 29.357143 | 83 | 0.654988 | 1,392 | 0.677372 | 0 | 0 | 0 | 0 | 0 | 0 | 531 | 0.258394 |
661759e4ea700063225bc588e580457ea479d76a | 1,954 | py | Python | 02_assignment/toolbox/Toolbox_Python02450/Scripts/ex3_1_2.py | LukaAvbreht/ML_projects | 8b36acdeb017ce8a57959c609b96111968852d5f | [
"MIT"
] | null | null | null | 02_assignment/toolbox/Toolbox_Python02450/Scripts/ex3_1_2.py | LukaAvbreht/ML_projects | 8b36acdeb017ce8a57959c609b96111968852d5f | [
"MIT"
] | null | null | null | 02_assignment/toolbox/Toolbox_Python02450/Scripts/ex3_1_2.py | LukaAvbreht/ML_projects | 8b36acdeb017ce8a57959c609b96111968852d5f | [
"MIT"
] | null | null | null | # exercise 3.1.4
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
# Load the textDocs.txt as a long string into raw_file:
with open('../Data/textDocs.txt', 'r') as f:
raw_file = f.read()
# raw_file contains sentences seperated by newline characters,
# so we split by '\n':
corpus = ra... | 37.576923 | 79 | 0.746162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,405 | 0.719038 |
661950464dde57e4e6f43aa2be8e46d0304ef9f0 | 797 | py | Python | vid 18 dream logo.py | agneay/turtle-projects | 88f7de0c8eb1bb0f37255746c3d11b9c272d1c10 | [
"MIT"
] | null | null | null | vid 18 dream logo.py | agneay/turtle-projects | 88f7de0c8eb1bb0f37255746c3d11b9c272d1c10 | [
"MIT"
] | null | null | null | vid 18 dream logo.py | agneay/turtle-projects | 88f7de0c8eb1bb0f37255746c3d11b9c272d1c10 | [
"MIT"
] | null | null | null | from turtle import *
def l(y,x):
lt(y)
fd(x)
def r(y,x):
rt(y)
fd(x)
def gt(x,y):
pu()
goto(x,y)
pd()
bgcolor("lime")
color("black","white")
shape("circle")
ht()
speed(1)
width(15)
gt(-365,-380)
begin_fill()
seth(90)
fd(20)
r(5,20)
r(4,60)
r(5,100)
r(5,120)
l(85,50)
r(10,25)
r(15,10)
r(15,40)
r(15,50)
r(1... | 9.16092 | 53 | 0.567127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.079046 |
661ea642755905b0144b877774494043f351d6cb | 1,316 | py | Python | magicauth/otp_forms.py | glibersat/django-magicauth | 545cb0df2b2368b27089e253fafa666ca8a870f1 | [
"MIT"
] | null | null | null | magicauth/otp_forms.py | glibersat/django-magicauth | 545cb0df2b2368b27089e253fafa666ca8a870f1 | [
"MIT"
] | null | null | null | magicauth/otp_forms.py | glibersat/django-magicauth | 545cb0df2b2368b27089e253fafa666ca8a870f1 | [
"MIT"
] | null | null | null | from django import forms
from django.core.validators import RegexValidator
from django.core.exceptions import ValidationError
from django_otp import user_has_device, devices_for_user
from magicauth import settings as magicauth_settings
class OTPForm(forms.Form):
OTP_NUM_DIGITS = magicauth_settings.OTP_NUM_DIGIT... | 37.6 | 173 | 0.705167 | 1,087 | 0.818524 | 0 | 0 | 0 | 0 | 0 | 0 | 308 | 0.231928 |
6620a1da84d2b9ed5781d255a6553d73c0a0fa9e | 186 | py | Python | backend/users/schema.py | DDoS000/Event_Registers | 84a77d0914333ee830a72e2d31fa5374f70dea35 | [
"MIT"
] | null | null | null | backend/users/schema.py | DDoS000/Event_Registers | 84a77d0914333ee830a72e2d31fa5374f70dea35 | [
"MIT"
] | null | null | null | backend/users/schema.py | DDoS000/Event_Registers | 84a77d0914333ee830a72e2d31fa5374f70dea35 | [
"MIT"
] | null | null | null | from pydantic import BaseModel
class UserUpdate(BaseModel):
fullname: str
class ChangePassword(BaseModel):
current_password: str
new_password: str
confirm_password: str | 20.666667 | 32 | 0.768817 | 152 | 0.817204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
662106942718d48504f32ad0e27db934931029d3 | 19,428 | py | Python | tests/adapters/test_s3_adapter.py | MonolithAILtd/monolith-filemanager | 2369e244e4d8a48890f55d00419a83001a5c6c40 | [
"Apache-2.0"
] | 3 | 2021-06-02T09:45:00.000Z | 2022-02-01T14:30:01.000Z | tests/adapters/test_s3_adapter.py | MonolithAILtd/monolith-filemanager | 2369e244e4d8a48890f55d00419a83001a5c6c40 | [
"Apache-2.0"
] | 3 | 2021-05-26T11:46:28.000Z | 2021-11-04T10:14:42.000Z | tests/adapters/test_s3_adapter.py | MonolithAILtd/monolith-filemanager | 2369e244e4d8a48890f55d00419a83001a5c6c40 | [
"Apache-2.0"
] | 2 | 2021-06-04T15:02:14.000Z | 2021-09-03T09:26:45.000Z | from unittest import TestCase, main
from unittest.mock import patch, MagicMock, call
from monolith_filemanager.adapters.s3_processes import S3ProcessesAdapter, S3ProcessesAdapterError
class TestS3ProcessesAdapter(TestCase):
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def ... | 51.261214 | 175 | 0.726992 | 19,201 | 0.988316 | 0 | 0 | 18,308 | 0.942351 | 0 | 0 | 4,850 | 0.24964 |
6621f5308d9319ae5e2c09eb61c97a4f6a12ea20 | 459 | py | Python | maleorfemale.py | harshals13/Jigglypuffpuff | 469ea64c71a123cafadc4ae40a1da5171182647b | [
"MIT"
] | null | null | null | maleorfemale.py | harshals13/Jigglypuffpuff | 469ea64c71a123cafadc4ae40a1da5171182647b | [
"MIT"
] | null | null | null | maleorfemale.py | harshals13/Jigglypuffpuff | 469ea64c71a123cafadc4ae40a1da5171182647b | [
"MIT"
] | null | null | null | from sklearn import tree
#[height, weight, shoe size]
X = [[181,80,44], [177,70, 43],[160, 60,38],[154, 54, 37], [166,65,40], [190, 90, 47], [175, 64, 39], [177, 70, 40],[159, 55, 45],[171, 75, 42], [181, 85, 43] ]
Y = ['male', 'female', 'female', 'female', 'male','male', 'male', 'female', 'male', 'female', 'male']
... | 27 | 160 | 0.586057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.261438 |
6622d00606e15445d1e62f002d0259e183e527a7 | 1,921 | py | Python | Asap-3.8.4/doc/manual/Dislocation.py | auag92/n2dm | 03403ef8da303b79478580ae76466e374ec9da60 | [
"MIT"
] | 1 | 2021-10-19T11:35:34.000Z | 2021-10-19T11:35:34.000Z | Asap-3.8.4/doc/manual/Dislocation.py | auag92/n2dm | 03403ef8da303b79478580ae76466e374ec9da60 | [
"MIT"
] | null | null | null | Asap-3.8.4/doc/manual/Dislocation.py | auag92/n2dm | 03403ef8da303b79478580ae76466e374ec9da60 | [
"MIT"
] | 3 | 2016-07-18T19:22:48.000Z | 2021-07-06T03:06:42.000Z | #!/usr/bin/env python
from Asap.Setup.Lattice.FCCOrtho import *
from Asap.Setup.Dislocation import Dislocation
from ASE.ChemicalElements import Element
from Asap import *
from Asap.Trajectories import NetCDFTrajectory
from ASE.Visualization.PrimiPlotter import *
from Numeric import *
splitting = 5
size = (25, 35, 10)... | 28.671642 | 83 | 0.692868 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 453 | 0.235815 |
662336d44c462304b2b5f94e8721da8b5b0d3e73 | 7,450 | py | Python | supercache/engine/memory.py | Peter92/supercache | e85ae87e4c2fead6e2a6aa55c0983d249512f34d | [
"MIT"
] | 2 | 2020-03-02T01:22:25.000Z | 2020-05-18T16:52:11.000Z | supercache/engine/memory.py | huntfx/supercache | e85ae87e4c2fead6e2a6aa55c0983d249512f34d | [
"MIT"
] | null | null | null | supercache/engine/memory.py | huntfx/supercache | e85ae87e4c2fead6e2a6aa55c0983d249512f34d | [
"MIT"
] | null | null | null | import time
from collections import defaultdict
from .. import exceptions, utils
class Memory(object):
"""Cache directly in memory.
This is by far the fastest solution, but the cache cannot be shared
outside the current process.
This is not completely thread safe, but care has been taken to
avoid... | 32.251082 | 87 | 0.52094 | 7,365 | 0.988591 | 0 | 0 | 0 | 0 | 0 | 0 | 2,010 | 0.269799 |
6623eb16f8643fe3f8e712cd421dfd5fbd6d80c3 | 2,541 | py | Python | problem_1_falling/test_agent.py | victor-armegioiu/ai-mas-challenges | c449f4bb3fd7e7a5c1c9b00d22209532c92f39aa | [
"MIT"
] | null | null | null | problem_1_falling/test_agent.py | victor-armegioiu/ai-mas-challenges | c449f4bb3fd7e7a5c1c9b00d22209532c92f39aa | [
"MIT"
] | null | null | null | problem_1_falling/test_agent.py | victor-armegioiu/ai-mas-challenges | c449f4bb3fd7e7a5c1c9b00d22209532c92f39aa | [
"MIT"
] | null | null | null | from utils import read_cfg
from falling_objects_env import FallingObjects, PLAYER_KEYS, ACTIONS
from argparse import ArgumentParser
from demo_agent import DemoAgent
from dqn_agent import DDQNAgent
import importlib
import numpy as np
import cv2 as cv2
BATCH_SIZE = 32
if __name__ == "__main__":
arg_parser = Argumen... | 33.88 | 131 | 0.67375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 914 | 0.359701 |
66240c3ee8769bc3f49297e677406217e8beaf2e | 1,505 | py | Python | TSTP_20210522_CH4_Functions.py | adjectiveJ/tstp_challenges | e0fcc174594387e0c6142980bf2706d7f5cbc5bd | [
"CC0-1.0"
] | null | null | null | TSTP_20210522_CH4_Functions.py | adjectiveJ/tstp_challenges | e0fcc174594387e0c6142980bf2706d7f5cbc5bd | [
"CC0-1.0"
] | null | null | null | TSTP_20210522_CH4_Functions.py | adjectiveJ/tstp_challenges | e0fcc174594387e0c6142980bf2706d7f5cbc5bd | [
"CC0-1.0"
] | null | null | null | """
The Self-Taught Programmer - Chapter 4 Challenges
Author: Dante Valentine
Date: 22 May, 2021
"""
""" CHALLENGE 1 """
to_square = 12
def square_func(x):
# Returns the square of x.
return x*x
resp = square_func(to_square)
#print("The square of", to_square, "is", str(resp) + ".")
""" CHAL... | 21.5 | 87 | 0.621927 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 862 | 0.572757 |
6629f9d2ad476bdf575b8d97233a3d2d8781d35e | 2,874 | py | Python | src/unpurple.py | rnbdev/purple-fringe | b372c13f0e4d7d7ba9da53d7e6a4326c0e6c453a | [
"BSD-3-Clause"
] | 2 | 2021-03-16T03:29:41.000Z | 2021-05-21T03:32:57.000Z | src/unpurple.py | rnbdev/purple-fringe | b372c13f0e4d7d7ba9da53d7e6a4326c0e6c453a | [
"BSD-3-Clause"
] | null | null | null | src/unpurple.py | rnbdev/purple-fringe | b372c13f0e4d7d7ba9da53d7e6a4326c0e6c453a | [
"BSD-3-Clause"
] | null | null | null | import cv2
import numpy as np
import argparse
def unpurple(params):
img = cv2.imread(params.input).astype(np.float64)
img_b = img[..., 0]
img_b = np.maximum(0, img_b - params.m * 255)
img_b *= params.i / (1 - params.m)
width = (params.r << 1) + 1
bl = cv2.blur(img_b, (width, width))
i... | 29.9375 | 76 | 0.4746 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 462 | 0.160752 |
662b2a0d020eee523039d18045fe01c4d90be8ba | 61 | py | Python | psi/serialize/__init__.py | delta-mpc/python-psi | 1665de12a713b37abd889268c66de84cddb1bf84 | [
"Apache-2.0"
] | 35 | 2021-05-28T10:03:09.000Z | 2022-03-24T12:08:19.000Z | psi/serialize/__init__.py | delta-mpc/python-psi | 1665de12a713b37abd889268c66de84cddb1bf84 | [
"Apache-2.0"
] | 9 | 2021-07-15T09:16:34.000Z | 2022-03-31T03:59:16.000Z | psi/serialize/__init__.py | delta-mpc/python-psi | 1665de12a713b37abd889268c66de84cddb1bf84 | [
"Apache-2.0"
] | 16 | 2021-06-18T02:18:56.000Z | 2022-03-25T02:43:48.000Z | from .bit_arr import *
from .ecc import *
from .int import *
| 15.25 | 22 | 0.704918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
662b8a1aba28c4cad375998a888ed93da1fcc650 | 1,588 | py | Python | scripts/run_episodes.py | takuma-ynd/rrc_example_package | f53cf3191f4c38f4d1f394ccd55b1d935a6a70ba | [
"BSD-3-Clause"
] | null | null | null | scripts/run_episodes.py | takuma-ynd/rrc_example_package | f53cf3191f4c38f4d1f394ccd55b1d935a6a70ba | [
"BSD-3-Clause"
] | null | null | null | scripts/run_episodes.py | takuma-ynd/rrc_example_package | f53cf3191f4c38f4d1f394ccd55b1d935a6a70ba | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import numpy as np
# from rrc_example_package.code.training_env import make_training_env
from rrc_example_package.code.training_env.env import ActionType
import rrc_example_package.move_cube
import rrc_example_package.cube_env
# env = make_training_env(visualization=False, **eval_config)
# env.... | 32.408163 | 82 | 0.687028 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 617 | 0.388539 |
662cd92db90d9d0b17d2a45ad47818909732dc56 | 1,253 | py | Python | src/algorithms/utils.py | MSwenne/QSB-Suite | 7860e4634bdce10fa79d7f850b6bc2099357d7b0 | [
"MIT"
] | null | null | null | src/algorithms/utils.py | MSwenne/QSB-Suite | 7860e4634bdce10fa79d7f850b6bc2099357d7b0 | [
"MIT"
] | null | null | null | src/algorithms/utils.py | MSwenne/QSB-Suite | 7860e4634bdce10fa79d7f850b6bc2099357d7b0 | [
"MIT"
] | null | null | null | import random
def QFT(first: int, last: int) -> str:
res = "// Begin QFT\n"
for a in range(first, last+1):
res += f"h q[{a}];\n"
for b in range(a+1,last+1):
res += f"crz({1/(2**(b-a+1))}) q[{a}], q[{b}];\n"
return res
def QFT_inv(first: int, last: int) -> str:
res = "// Beg... | 27.23913 | 63 | 0.51237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 342 | 0.272945 |
662db785b141a51d5e5c2d7a6ae200c6d7fc2fa6 | 1,458 | py | Python | src/sprite.py | GreenXenith/zoria | 30a16baab3643c820613a8c8669ee6235a2cd47c | [
"MIT"
] | null | null | null | src/sprite.py | GreenXenith/zoria | 30a16baab3643c820613a8c8669ee6235a2cd47c | [
"MIT"
] | null | null | null | src/sprite.py | GreenXenith/zoria | 30a16baab3643c820613a8c8669ee6235a2cd47c | [
"MIT"
] | null | null | null | import pygame
from . import assets
from .vector import *
global registered_sprites
registered_sprites = {}
def register_sprite(name, definition):
registered_sprites[name] = definition
class Sprite:
texture = "none.png"
rect = pygame.Rect(0, 0, 0, 0)
def __init__(self, name, pos, z):
self.nam... | 27 | 78 | 0.598765 | 1,265 | 0.867627 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.019204 |
662f6bd952e2e4b17cde090c9644c4ad6ec3e3d7 | 5,873 | py | Python | pset1 /ps1.py | vnb/Data-Science | af2936b621d51a6839111b6c793f9a270cded16c | [
"MIT"
] | null | null | null | pset1 /ps1.py | vnb/Data-Science | af2936b621d51a6839111b6c793f9a270cded16c | [
"MIT"
] | null | null | null | pset1 /ps1.py | vnb/Data-Science | af2936b621d51a6839111b6c793f9a270cded16c | [
"MIT"
] | null | null | null | ###########################
# 6.00.2x Problem Set 1: Space Cows
from ps1_partition import get_partitions
import time
#================================
# Part A: Transporting Space Cows
#================================
def load_cows(filename):
"""
Read the contents of the given file. Assumes th... | 30.910526 | 90 | 0.604461 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,141 | 0.53482 |
6630cfae3164736554237dd2d66a2111da1f1715 | 6,080 | py | Python | blackboxopt/optimization_loops/dask_distributed.py | boschresearch/blackboxopt | 85abea86f01a4a9d50f05d15e7d850e3288baafd | [
"ECL-2.0",
"Apache-2.0"
] | 8 | 2021-07-05T13:37:22.000Z | 2022-03-11T12:23:27.000Z | blackboxopt/optimization_loops/dask_distributed.py | boschresearch/blackboxopt | 85abea86f01a4a9d50f05d15e7d850e3288baafd | [
"ECL-2.0",
"Apache-2.0"
] | 14 | 2021-07-07T13:55:23.000Z | 2022-02-07T13:09:01.000Z | blackboxopt/optimization_loops/dask_distributed.py | boschresearch/blackboxopt | 85abea86f01a4a9d50f05d15e7d850e3288baafd | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020 - for information on the respective copyright owner
# see the NOTICE file and/or the repository https://github.com/boschresearch/blackboxopt
#
# SPDX-License-Identifier: Apache-2.0
import logging
import time
from typing import Callable, List, Set, Union
try:
import dask.distributed as dd
exce... | 34.742857 | 88 | 0.659539 | 2,026 | 0.333224 | 0 | 0 | 0 | 0 | 0 | 0 | 1,727 | 0.284046 |
66338488816d4107164bc58a2e6c72cf6c5eff02 | 2,997 | py | Python | admit/at/test/test_ingest.py | astroumd/admit | bbf3d79bb6e1a6f7523553ed8ede0d358d106f2c | [
"MIT"
] | 4 | 2017-03-01T17:26:28.000Z | 2022-03-03T19:23:06.000Z | admit/at/test/test_ingest.py | teuben/admit | 1cae54d1937c9af3f719102838df716e7e6d655c | [
"MIT"
] | 48 | 2016-10-04T01:25:33.000Z | 2021-09-08T14:51:10.000Z | admit/at/test/test_ingest.py | teuben/admit | 1cae54d1937c9af3f719102838df716e7e6d655c | [
"MIT"
] | 2 | 2016-11-10T14:10:22.000Z | 2017-03-30T18:58:05.000Z | #! /usr/bin/env casarun
#
#
# you can either use the "import" method from within casapy
# or use the casarun shortcut to run this from a unix shell
# with the argument being the casa image file to be processed
#
# Typical test usage:
# ./test_ingest.py test123.fits [dummy]
# This will produce admit.... | 29.382353 | 79 | 0.602936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,344 | 0.448448 |
66349dcef473158c517a2f6336f11fae97c3b0b4 | 2,156 | py | Python | app/Duration.py | joshuaMarple/phase-vocoder | d652a594da2b526eae758c4d0ca6e87e0497b89d | [
"Apache-2.0"
] | null | null | null | app/Duration.py | joshuaMarple/phase-vocoder | d652a594da2b526eae758c4d0ca6e87e0497b89d | [
"Apache-2.0"
] | null | null | null | app/Duration.py | joshuaMarple/phase-vocoder | d652a594da2b526eae758c4d0ca6e87e0497b89d | [
"Apache-2.0"
] | null | null | null | """
Authors: Fernando (UPDATE HIS INFO)
License: GPL 3.0
Description: This file contains functions that allows the user to
change the pitch of a .wav
Comments: None.
"""
import subprocess
import os
from sys import platform as _platform
from lib import pydub
def changeDuration(filename,percent):
"""
Input: file... | 34.222222 | 106 | 0.729128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,106 | 0.512987 |
6634c188bd630f307a7ad6ecabe91c09bac5af47 | 12,711 | py | Python | network-manager/varanuspy/utils.py | netx-ulx/varanus | 7df5ec70563253d72a4287566b1fbb6bdf804a4c | [
"Apache-2.0"
] | null | null | null | network-manager/varanuspy/utils.py | netx-ulx/varanus | 7df5ec70563253d72a4287566b1fbb6bdf804a4c | [
"Apache-2.0"
] | null | null | null | network-manager/varanuspy/utils.py | netx-ulx/varanus | 7df5ec70563253d72a4287566b1fbb6bdf804a4c | [
"Apache-2.0"
] | null | null | null | from Queue import Empty, Queue
import collections
import ipaddress
import netifaces
import pwd
import signal
import socket
from subprocess import Popen
from threading import Thread
################################################################################
#### String utils
def newline( *args ):
class Single... | 29.908235 | 119 | 0.571001 | 2,745 | 0.215955 | 0 | 0 | 0 | 0 | 0 | 0 | 3,737 | 0.293997 |
66373663ff85fccb4333f1b45aed30d0b9af2c3c | 8,824 | py | Python | load/DBPLoadController.py | faithcomesbyhearing/dbp-etl | ffd849111e8e2d40e9b07663408d31b5a2d15ce7 | [
"MIT"
] | null | null | null | load/DBPLoadController.py | faithcomesbyhearing/dbp-etl | ffd849111e8e2d40e9b07663408d31b5a2d15ce7 | [
"MIT"
] | 4 | 2021-03-10T22:20:29.000Z | 2022-03-23T22:18:00.000Z | load/DBPLoadController.py | faithcomesbyhearing/dbp-etl | ffd849111e8e2d40e9b07663408d31b5a2d15ce7 | [
"MIT"
] | 1 | 2021-03-10T20:49:43.000Z | 2021-03-10T20:49:43.000Z | # DBPLoadController.py
# 1) Run Validate on the files to process
# 2) Move any Fileset that is accepted to uploading
# 3) Perform upload
# 4) Move any fully uploaded fileset to database
# 5) Update fileset related tables
# 6) Move updated fileset to complete
import os
from Config import *
from RunStatus import *
fro... | 40.477064 | 174 | 0.779012 | 2,433 | 0.275725 | 0 | 0 | 0 | 0 | 0 | 0 | 5,420 | 0.614234 |