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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4eeba8c507dbd8f435dcd16c1fc5b07ff0fd0417 | 818 | py | Python | src/uglier/colored_logger.py | MonliH/uglier | 0922ddfab52677f959290400de578953b59e4597 | [
"MIT"
] | 1 | 2022-02-14T02:54:50.000Z | 2022-02-14T02:54:50.000Z | src/uglier/colored_logger.py | MonliH/uglier | 0922ddfab52677f959290400de578953b59e4597 | [
"MIT"
] | null | null | null | src/uglier/colored_logger.py | MonliH/uglier | 0922ddfab52677f959290400de578953b59e4597 | [
"MIT"
] | null | null | null | # Credits to https://stackoverflow.com/a/56944256/9470078
# I wanted a colored logger without dependencies, so here it is!
import logging
class ColoredFormatter(logging.Formatter):
grey = "\x1b[38;20m"
yellow = "\x1b[33;20m"
red = "\x1b[31;20m"
blue = "\x1b[34;20m"
bold_red = "\x1b[31;1m"
rese... | 30.296296 | 64 | 0.625917 | 677 | 0.827628 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.284841 |
4eec746d820c53cfe1acfbbe561209eb0112a801 | 207 | py | Python | tests/SHA256/run.py | weikengchen/Virgo | 73b924f33e18c017bafa3ed37da84a7b0d80ec5d | [
"Apache-2.0"
] | 9 | 2020-06-02T04:54:08.000Z | 2021-12-07T12:54:09.000Z | tests/SHA256/run.py | weikengchen/Virgo | 73b924f33e18c017bafa3ed37da84a7b0d80ec5d | [
"Apache-2.0"
] | 2 | 2021-01-07T18:34:10.000Z | 2021-03-22T20:29:43.000Z | tests/SHA256/run.py | weikengchen/Virgo | 73b924f33e18c017bafa3ed37da84a7b0d80ec5d | [
"Apache-2.0"
] | 5 | 2020-06-08T09:11:37.000Z | 2021-07-29T12:15:47.000Z | import os
os.system('mkdir -p LOG')
for i in range(8):
os.system('./zk_proof SHA256_64_merkle_' + str(i + 1) + '_circuit.txt SHA256_64_merkle_' + str(i + 1) + '_meta.txt LOG/SHA256_' + str(i + 1) + '.txt')
| 41.4 | 151 | 0.647343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 0.507246 |
4eee40c453e96ec4d8088f99f82cf3eed41c437d | 1,539 | py | Python | projects/07/src/Parser.py | danibachar/Nand2Tetris | fdce0e87a4869213f3eeb0004ba2af688ea1b1cc | [
"MIT"
] | null | null | null | projects/07/src/Parser.py | danibachar/Nand2Tetris | fdce0e87a4869213f3eeb0004ba2af688ea1b1cc | [
"MIT"
] | null | null | null | projects/07/src/Parser.py | danibachar/Nand2Tetris | fdce0e87a4869213f3eeb0004ba2af688ea1b1cc | [
"MIT"
] | null | null | null | from Lex import Lex, ARITHMETIC_COMMANDS, PUSH_OR_POP_COMMANDS
class Parser:
def __init__(self, src_file_name):
self._line_index = 0
self._line_index = 0
self._lines = []
f = open(src_file_name)
# First assesment of the Assembler
for line in f.readlines():
... | 29.596154 | 80 | 0.591293 | 1,474 | 0.957765 | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 0.149448 |
4eef1320c0e0691a8298a782442f1c3ab4a42e10 | 40 | py | Python | testing/examples/import_error.py | dry-python/dependencies | 1a8bba41ab42d0b5249b36471f5300d9faba81e7 | [
"BSD-2-Clause"
] | 175 | 2018-07-21T13:04:44.000Z | 2020-05-27T15:31:06.000Z | tests/helpers/examples/import_error.py | proofit404/dependencies | 204e0cfadca801d64857f24aa4c74e7939ed9af0 | [
"BSD-2-Clause"
] | 325 | 2016-05-16T11:16:11.000Z | 2022-03-04T00:45:57.000Z | testing/examples/import_error.py | dry-python/dependencies | 1a8bba41ab42d0b5249b36471f5300d9faba81e7 | [
"BSD-2-Clause"
] | 18 | 2018-06-17T09:33:16.000Z | 2020-05-20T18:12:30.000Z | from astral import Vision # noqa: F401
| 20 | 39 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.3 |
4eef83ede604e40066824025d8e5da2b23f0f80b | 1,297 | py | Python | pywxwork/contact/async.py | renqiukai/pywxwork | 980283b4c89bf60f998071f30551b8802f1cdbf9 | [
"MIT"
] | 2 | 2021-05-22T11:16:47.000Z | 2021-05-27T12:42:38.000Z | pywxwork/contact/async.py | renqiukai/pywxwork | 980283b4c89bf60f998071f30551b8802f1cdbf9 | [
"MIT"
] | null | null | null | pywxwork/contact/async.py | renqiukai/pywxwork | 980283b4c89bf60f998071f30551b8802f1cdbf9 | [
"MIT"
] | null | null | null | from loguru import logger
from ..base import base
class async(base):
def __init__(self, token) -> None:
super().__init__(token)
def syncuser(self, data):
api_name = "batch/syncuser"
response = self.request(
api_name=api_name, method="post", json=data)
logger.debug(... | 28.822222 | 65 | 0.59522 | 1,284 | 0.960359 | 0 | 0 | 0 | 0 | 0 | 0 | 398 | 0.297681 |
4eefbfc6df35a9a798314233bdb1d9a5b18867b2 | 551 | py | Python | saleor/University/migrations/0012_auto_20191220_1226.py | pandeyroshan/Saleor | 9f391d7a9d58626d3696781c169b2c8a059f1c0b | [
"CC-BY-4.0"
] | null | null | null | saleor/University/migrations/0012_auto_20191220_1226.py | pandeyroshan/Saleor | 9f391d7a9d58626d3696781c169b2c8a059f1c0b | [
"CC-BY-4.0"
] | null | null | null | saleor/University/migrations/0012_auto_20191220_1226.py | pandeyroshan/Saleor | 9f391d7a9d58626d3696781c169b2c8a059f1c0b | [
"CC-BY-4.0"
] | null | null | null | # Generated by Django 2.2 on 2019-12-20 06:56
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('University', '0011_auto_20191219_1913'),
]
operations = [
migrations.RemoveField(
model_name='university',
name='user',
... | 21.192308 | 50 | 0.555354 | 468 | 0.849365 | 0 | 0 | 0 | 0 | 0 | 0 | 146 | 0.264973 |
4ef0b50ef3594f7350bca88a70048229aa579679 | 1,539 | py | Python | app/places/migrations/0001_initial.py | aykutgk/nearapp-web | 469b9878cf7434278c78a733eeac40713dcc40a4 | [
"MIT"
] | null | null | null | app/places/migrations/0001_initial.py | aykutgk/nearapp-web | 469b9878cf7434278c78a733eeac40713dcc40a4 | [
"MIT"
] | null | null | null | app/places/migrations/0001_initial.py | aykutgk/nearapp-web | 469b9878cf7434278c78a733eeac40713dcc40a4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-04-06 23:40
from __future__ import unicode_literals
from django.conf import settings
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = ... | 43.971429 | 141 | 0.660169 | 1,272 | 0.826511 | 0 | 0 | 0 | 0 | 0 | 0 | 310 | 0.201429 |
4ef201c0a10d56d741c0b5148b73d6e3ae7ebce4 | 143 | py | Python | acmgnyr2011/b.py | AnAverageHuman/competitive | 4c4b9bdbe91fde1c52f731426f9a53bff97796e1 | [
"BSD-3-Clause"
] | null | null | null | acmgnyr2011/b.py | AnAverageHuman/competitive | 4c4b9bdbe91fde1c52f731426f9a53bff97796e1 | [
"BSD-3-Clause"
] | null | null | null | acmgnyr2011/b.py | AnAverageHuman/competitive | 4c4b9bdbe91fde1c52f731426f9a53bff97796e1 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
P = int(input())
for _ in range(P):
N, n, m = [int(i) for i in input().split()]
print(f"{N} {(n - m) * m + 1}")
| 20.428571 | 47 | 0.48951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.314685 |
4ef25edc19b260d4a3119393c3b4c0a16a1f9130 | 462 | py | Python | preprocessing/importlib_read.py | Kunal614/Machine-Learning | 26b3e0f3397ddb524c96c5b6c99b173b6fc80501 | [
"MIT"
] | null | null | null | preprocessing/importlib_read.py | Kunal614/Machine-Learning | 26b3e0f3397ddb524c96c5b6c99b173b6fc80501 | [
"MIT"
] | null | null | null | preprocessing/importlib_read.py | Kunal614/Machine-Learning | 26b3e0f3397ddb524c96c5b6c99b173b6fc80501 | [
"MIT"
] | null | null | null | #importing lib
import pandas as pd
import numpy as np
#Take data
df = pd.DataFrame({"Name":['Kunal' , 'Mohit' , 'Rohit' ] ,"age":[np.nan , 23, 45] , "sex":['M' , np.nan , 'M']})
#check for nnull value
print(df.isnull().sum())
print(df.describe())
# ignore the nan rows
print(len(df.dropna()) , df.dropna())
#for ... | 15.931034 | 112 | 0.634199 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 0.335498 |
4ef2b218f2e39c030635631f9cea78b7d43ed7b8 | 2,774 | py | Python | isw2-master/src/app/ui/ajustarReloj.py | marlanbar/academic-projects | bcdc8ca36b6984ab3f83c10b8a3ed45576ecfca1 | [
"MIT"
] | null | null | null | isw2-master/src/app/ui/ajustarReloj.py | marlanbar/academic-projects | bcdc8ca36b6984ab3f83c10b8a3ed45576ecfca1 | [
"MIT"
] | null | null | null | isw2-master/src/app/ui/ajustarReloj.py | marlanbar/academic-projects | bcdc8ca36b6984ab3f83c10b8a3ed45576ecfca1 | [
"MIT"
] | null | null | null | import datetime
from .consola import Consola
from .uiscreen import UIScreen
from ..core.reloj import Reloj
class AjustarReloj(UIScreen):
def __init__(self, unMain, unUsuario):
super().__init__(unMain)
self.usuario = unUsuario
def run(self):
self.consola.prnt("")
self.consola.prnt(" Ahora: %s" %... | 37.486486 | 115 | 0.612112 | 2,667 | 0.960043 | 0 | 0 | 0 | 0 | 0 | 0 | 859 | 0.309215 |
4ef40c95ccc6546b171182631d74d1be2a580530 | 2,359 | py | Python | signin/jd.py | nujabse/simpleSignin | e818f9880d97d39beddcadccb53dc23e18fe6d8e | [
"MIT"
] | 11 | 2018-03-07T04:13:05.000Z | 2019-11-28T04:43:55.000Z | signin/jd.py | nujabse/simpleSignin | e818f9880d97d39beddcadccb53dc23e18fe6d8e | [
"MIT"
] | 2 | 2018-03-04T15:08:01.000Z | 2018-05-28T07:42:47.000Z | signin/jd.py | nujabse/simpleSignin | e818f9880d97d39beddcadccb53dc23e18fe6d8e | [
"MIT"
] | 15 | 2018-01-25T10:54:06.000Z | 2019-11-05T07:09:20.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import traceback
from selenium.webdriver import ChromeOptions
from signin.chrome import find_chrome_driver_path, JdSession
from signin.jd_job import jobs_all
from lib.log import logger
from lib.settings import PC_UA
from lib.settings import MOBILE_UA
class JDUser:
... | 30.24359 | 92 | 0.561679 | 2,082 | 0.857849 | 0 | 0 | 0 | 0 | 0 | 0 | 501 | 0.206428 |
4ef48cca62f034a2764603154909770a46970bca | 284 | py | Python | tests/tasks/test_aws_athena_task.py | jezd-axyl/platsec-aws-scanner | bc2b064c87ac2f77fab49c1e1eb3782d6de685b2 | [
"Apache-2.0"
] | null | null | null | tests/tasks/test_aws_athena_task.py | jezd-axyl/platsec-aws-scanner | bc2b064c87ac2f77fab49c1e1eb3782d6de685b2 | [
"Apache-2.0"
] | 4 | 2021-05-06T12:36:46.000Z | 2022-02-11T09:47:57.000Z | tests/tasks/test_aws_athena_task.py | jezd-axyl/platsec-aws-scanner | bc2b064c87ac2f77fab49c1e1eb3782d6de685b2 | [
"Apache-2.0"
] | 2 | 2021-04-21T04:48:47.000Z | 2022-01-14T04:29:17.000Z | from unittest import TestCase
from unittest.mock import Mock
from tests.test_types_generator import athena_task
class TestAwsAthenaTask(TestCase):
def test_run_task(self) -> None:
with self.assertRaises(NotImplementedError):
athena_task()._run_task(Mock())
| 25.818182 | 52 | 0.757042 | 168 | 0.591549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4ef53f10b384a2cdfc48e2d923372b8c68776225 | 1,966 | py | Python | Post-Exploitation/LaZagne/Linux/lazagne/softwares/wallet/gnome.py | FOGSEC/TID3xploits | b57d8bae454081a3883a5684679e2a329e72d6e5 | [
"MIT"
] | 5 | 2018-01-15T13:58:40.000Z | 2022-02-17T02:38:58.000Z | Post-Exploitation/LaZagne/Linux/lazagne/softwares/wallet/gnome.py | bhattsameer/TID3xploits | b57d8bae454081a3883a5684679e2a329e72d6e5 | [
"MIT"
] | null | null | null | Post-Exploitation/LaZagne/Linux/lazagne/softwares/wallet/gnome.py | bhattsameer/TID3xploits | b57d8bae454081a3883a5684679e2a329e72d6e5 | [
"MIT"
] | 4 | 2019-06-21T07:51:11.000Z | 2020-11-04T05:20:09.000Z | #!/usr/bin/env python
import os
from lazagne.config.write_output import print_debug
from lazagne.config.moduleInfo import ModuleInfo
class Gnome(ModuleInfo):
def __init__(self):
options = {'command': '-g', 'action': 'store_true', 'dest': 'gnomeKeyring', 'help': 'Gnome Keyring'}
ModuleInfo.__init__(self, 'gnomeKey... | 31.206349 | 102 | 0.619023 | 1,828 | 0.929807 | 0 | 0 | 0 | 0 | 0 | 0 | 505 | 0.256867 |
4ef55661668508edfc12cbfc3fabe43b080c3a01 | 810 | py | Python | clearsky/main.py | NathanStern/ClearSky | 979583de2c44dcd3f62b96b9b43ba6369dff8a71 | [
"MIT"
] | null | null | null | clearsky/main.py | NathanStern/ClearSky | 979583de2c44dcd3f62b96b9b43ba6369dff8a71 | [
"MIT"
] | null | null | null | clearsky/main.py | NathanStern/ClearSky | 979583de2c44dcd3f62b96b9b43ba6369dff8a71 | [
"MIT"
] | null | null | null | from . import db
from flask import Flask, current_app
from . import create_app
import os
from . import db
app = create_app()
with app.app_context():
if os.path.exists("clearsky/config.json"):
pass
else:
with open('clearsky/config.json', 'w') as configuration:
print("Opened config ... | 28.928571 | 141 | 0.630864 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 416 | 0.51358 |
4ef5f5eab5f2ada2e47d1bb10c80337bb76665c1 | 6,966 | py | Python | logger.py | despargy/Shade | 8ed54c80154448c2cdc29623c2798a01d594995e | [
"MIT"
] | 3 | 2019-12-28T09:04:09.000Z | 2020-04-19T15:04:49.000Z | logger.py | despargy/Shade | 8ed54c80154448c2cdc29623c2798a01d594995e | [
"MIT"
] | null | null | null | logger.py | despargy/Shade | 8ed54c80154448c2cdc29623c2798a01d594995e | [
"MIT"
] | 1 | 2022-03-25T14:10:45.000Z | 2022-03-25T14:10:45.000Z | import logging
from abc import ABC, abstractmethod
from file_read_backwards import FileReadBackwards
import threading
import os
class Logger(ABC):
def __init__(self,filename):
self.lock = threading.Lock()
self.dir = "Logs"
if(not os.path.isdir(self.dir)):
os.mkdir(self.dir)
... | 27.864 | 83 | 0.557852 | 6,747 | 0.968562 | 0 | 0 | 171 | 0.024548 | 0 | 0 | 2,164 | 0.310652 |
4ef6051cf73af32c482601c57498a5943fed63f6 | 5,387 | py | Python | nydus/db/base.py | Elec/nydus | 9b505840da47a34f758a830c3992fa5dcb7bb7ad | [
"Apache-2.0"
] | 102 | 2015-01-12T20:07:37.000Z | 2022-02-21T10:00:07.000Z | nydus/db/base.py | Elec/nydus | 9b505840da47a34f758a830c3992fa5dcb7bb7ad | [
"Apache-2.0"
] | 4 | 2015-02-18T04:04:47.000Z | 2021-06-09T12:14:50.000Z | nydus/db/base.py | Elec/nydus | 9b505840da47a34f758a830c3992fa5dcb7bb7ad | [
"Apache-2.0"
] | 9 | 2015-07-28T15:16:04.000Z | 2021-06-08T20:31:04.000Z | """
nydus.db.base
~~~~~~~~~~~~~
:copyright: (c) 2011-2012 DISQUS.
:license: Apache License 2.0, see LICENSE for more details.
"""
__all__ = ('LazyConnectionHandler', 'BaseCluster')
import collections
from nydus.db.map import DistributedContextManager
from nydus.db.routers import BaseRouter, routing_params
from nydus... | 32.451807 | 108 | 0.633748 | 4,196 | 0.778912 | 85 | 0.015779 | 181 | 0.033599 | 0 | 0 | 1,059 | 0.196584 |
4ef8c03f9234184a71c8d62d34f7bd0e16bc0579 | 1,212 | py | Python | pytest_voluptuous/plugin.py | F-Secure/pytest-voluptuous | d71da445e49d3c17c959391d56857a468d344f4b | [
"Apache-2.0"
] | 27 | 2018-01-11T09:21:40.000Z | 2021-11-17T06:23:49.000Z | pytest_voluptuous/plugin.py | F-Secure/pytest-voluptuous | d71da445e49d3c17c959391d56857a468d344f4b | [
"Apache-2.0"
] | 8 | 2018-02-16T10:56:36.000Z | 2020-06-12T12:35:49.000Z | pytest_voluptuous/plugin.py | F-Secure/pytest-voluptuous | d71da445e49d3c17c959391d56857a468d344f4b | [
"Apache-2.0"
] | 7 | 2018-02-13T23:05:15.000Z | 2020-05-18T11:59:46.000Z | from __future__ import absolute_import
from voluptuous import MultipleInvalid
from pytest_voluptuous.voluptuous import S
def pytest_assertrepr_compare(op, left, right):
if isinstance(left, S) and (op == '<=' or op == '==') or isinstance(right, S) and op == '==':
if isinstance(left, S):
sourc... | 24.24 | 97 | 0.55198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.070957 |
4ef95f448285155ef51a0543042976937c9cfbc9 | 1,487 | py | Python | amftrack/pipeline/scripts/post_processing/make_small_exp.py | Cocopyth/MscThesis | 60162bc779a3a668e7447b60bb9a4b2a616b8093 | [
"MIT"
] | 1 | 2021-06-10T02:51:53.000Z | 2021-06-10T02:51:53.000Z | amftrack/pipeline/scripts/post_processing/make_small_exp.py | Cocopyth/MscThesis | 60162bc779a3a668e7447b60bb9a4b2a616b8093 | [
"MIT"
] | null | null | null | amftrack/pipeline/scripts/post_processing/make_small_exp.py | Cocopyth/MscThesis | 60162bc779a3a668e7447b60bb9a4b2a616b8093 | [
"MIT"
] | null | null | null | from path import path_code_dir
import sys
sys.path.insert(0, path_code_dir)
from amftrack.pipeline.functions.image_processing.extract_width_fun import *
from amftrack.pipeline.functions.image_processing.experiment_class_surf import Experiment, save_graphs, load_graphs
from amftrack.util import get_dates_datetime... | 36.268293 | 116 | 0.778749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 171 | 0.114997 |
4efaee537f830f9cc1209c150188c0e51e4634b7 | 12,476 | py | Python | src/style_transfer/style_transfer_v2_gluon.py | gilbertfrancois/mxnet-cookbook | 95add0415d7c1ddfc4bcdd3d3a41c2e44162f888 | [
"Apache-2.0"
] | 1 | 2020-02-28T03:00:19.000Z | 2020-02-28T03:00:19.000Z | src/style_transfer/style_transfer_v2_gluon.py | gilbertfrancois/mxnet-cookbook | 95add0415d7c1ddfc4bcdd3d3a41c2e44162f888 | [
"Apache-2.0"
] | null | null | null | src/style_transfer/style_transfer_v2_gluon.py | gilbertfrancois/mxnet-cookbook | 95add0415d7c1ddfc4bcdd3d3a41c2e44162f888 | [
"Apache-2.0"
] | 1 | 2020-10-14T20:26:19.000Z | 2020-10-14T20:26:19.000Z | # Copyright 2019 Gilbert Francois Duivesteijn
#
# 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 appli... | 41.311258 | 143 | 0.636181 | 6,536 | 0.523886 | 0 | 0 | 588 | 0.04713 | 0 | 0 | 1,622 | 0.13001 |
4efc7761548ac36e29fdc7dad0bfff5e1335bdbc | 6,980 | py | Python | torncache/connection.py | shipci/torncache-sample | 790a46812f3a503d2f30eefdd89c974a929c2a4a | [
"Apache-2.0"
] | null | null | null | torncache/connection.py | shipci/torncache-sample | 790a46812f3a503d2f30eefdd89c974a929c2a4a | [
"Apache-2.0"
] | null | null | null | torncache/connection.py | shipci/torncache-sample | 790a46812f3a503d2f30eefdd89c974a929c2a4a | [
"Apache-2.0"
] | null | null | null | # -*- mode: python; coding: utf-8 -*-
"""
Torncache Connection
"""
from __future__ import absolute_import
import os
import stat
import socket
import time
import numbers
import logging
import functools
from tornado import iostream
from tornado import stack_context
from tornado.ioloop import IOLoop
from tornado.platf... | 31.441441 | 79 | 0.593123 | 6,620 | 0.948424 | 0 | 0 | 0 | 0 | 0 | 0 | 1,144 | 0.163897 |
4efd701d6b8e98e84a695daad78682b43535205a | 10,025 | py | Python | rl-toolkit/rlf/rl/model.py | clvrai/goal_prox_il | 7c809b2ee575a69a14997068db06f3c1f3c8bd08 | [
"MIT"
] | 4 | 2021-11-17T20:19:34.000Z | 2022-03-31T04:21:26.000Z | rl-toolkit/rlf/rl/model.py | clvrai/goal_prox_il | 7c809b2ee575a69a14997068db06f3c1f3c8bd08 | [
"MIT"
] | null | null | null | rl-toolkit/rlf/rl/model.py | clvrai/goal_prox_il | 7c809b2ee575a69a14997068db06f3c1f3c8bd08 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from rlf.rl.loggers import sanity_checker
def weight_init(module, weight_init, bias_init, gain=1):
weight_init(module.weight.data, gain=gain)
bias_init(module.bias.data)
return module
def no_bias_weight_init(m):
if... | 27.924791 | 88 | 0.569875 | 9,270 | 0.924688 | 0 | 0 | 627 | 0.062544 | 0 | 0 | 999 | 0.099651 |
4efe3309dbe459b7936bf0bef1d7d022f2a55e49 | 4,407 | py | Python | pkgs/sdk-pkg/src/genie/libs/sdk/apis/iosxe/apphosting/verify.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 94 | 2018-04-30T20:29:15.000Z | 2022-03-29T13:40:31.000Z | pkgs/sdk-pkg/src/genie/libs/sdk/apis/iosxe/apphosting/verify.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 67 | 2018-12-06T21:08:09.000Z | 2022-03-29T18:00:46.000Z | pkgs/sdk-pkg/src/genie/libs/sdk/apis/iosxe/apphosting/verify.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 49 | 2018-06-29T18:59:03.000Z | 2022-03-10T02:07:59.000Z | ''' Common Verify functions for IOX / app-hosting '''
import logging
import time
log = logging.getLogger(__name__)
# Import parser
from genie.utils.timeout import Timeout
from genie.metaparser.util.exceptions import SchemaEmptyParserError
def verify_app_requested_state(device, app_list=None, requested_st... | 33.386364 | 109 | 0.568187 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,653 | 0.375085 |
4efef6a46d52e7f4dd5e178790df0f2e99b29bf4 | 15,350 | py | Python | memo/models/neural_nets.py | feloundou/memo | dc988d38dc6bcbcbb6851b78fb90ac77da4ad1b5 | [
"Apache-2.0"
] | null | null | null | memo/models/neural_nets.py | feloundou/memo | dc988d38dc6bcbcbb6851b78fb90ac77da4ad1b5 | [
"Apache-2.0"
] | null | null | null | memo/models/neural_nets.py | feloundou/memo | dc988d38dc6bcbcbb6851b78fb90ac77da4ad1b5 | [
"Apache-2.0"
] | null | null | null | # import scipy.signal
from gym.spaces import Box, Discrete
import numpy as np
import torch
from torch import nn
import IPython
# from torch.nn import Parameter
import torch.nn.functional as F
from torch.distributions import Independent, OneHotCategorical, Categorical
from torch.distributions.normal import Normal
# # fr... | 36.032864 | 127 | 0.641238 | 14,358 | 0.935375 | 0 | 0 | 0 | 0 | 0 | 0 | 3,184 | 0.207427 |
4eff2ab37a18ee36fb3fd5444900984659555e54 | 855 | py | Python | sprocket/util/extfrm.py | zhouming-hfut/sprocket | 68d4005284b72a891d0c0f81afabea087fc45960 | [
"MIT"
] | 500 | 2017-09-25T14:04:50.000Z | 2022-03-24T22:21:51.000Z | sprocket/util/extfrm.py | zhouming-hfut/sprocket | 68d4005284b72a891d0c0f81afabea087fc45960 | [
"MIT"
] | 73 | 2017-09-25T13:59:38.000Z | 2022-01-12T11:35:58.000Z | sprocket/util/extfrm.py | zhouming-hfut/sprocket | 68d4005284b72a891d0c0f81afabea087fc45960 | [
"MIT"
] | 116 | 2017-09-26T15:54:13.000Z | 2022-03-05T08:40:14.000Z | # -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import numpy as np
def extfrm(data, npow, power_threshold=-20):
"""Extract frame over the power threshold
Parameters
----------
data: array, shape (`T`, `dim`)
Array of input data
npow : array, shap... | 22.5 | 64 | 0.607018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 517 | 0.604678 |
f60095130f09208c0cc014869141663b3698d4a5 | 9,317 | py | Python | tickets_handler/models.py | ChanTerelLy/partnerweb3 | 4f37f032242cbc67d57b7161ecb5960d9cfde76d | [
"MIT"
] | null | null | null | tickets_handler/models.py | ChanTerelLy/partnerweb3 | 4f37f032242cbc67d57b7161ecb5960d9cfde76d | [
"MIT"
] | null | null | null | tickets_handler/models.py | ChanTerelLy/partnerweb3 | 4f37f032242cbc67d57b7161ecb5960d9cfde76d | [
"MIT"
] | null | null | null | import uuid
from django.db import models
from partnerweb_parser.manager import NewDesign, Ticket
import re
from partnerweb_parser import system, mail, manager
import json
import datetime
from partnerweb_parser.date_func import dmYHM_to_datetime
from tickets_handler.tasks import update_date_for_assigned
class Modify(m... | 37.568548 | 107 | 0.651819 | 9,010 | 0.964152 | 0 | 0 | 5,356 | 0.573141 | 0 | 0 | 275 | 0.029428 |
f6029db9fa8774e3c51f5cd2c301f93c77ad18fa | 1,184 | py | Python | photos/views.py | Otybrian/personal-gallery | d9492b5d29600da4a2999a9cc4914279e55f87ee | [
"MIT"
] | null | null | null | photos/views.py | Otybrian/personal-gallery | d9492b5d29600da4a2999a9cc4914279e55f87ee | [
"MIT"
] | null | null | null | photos/views.py | Otybrian/personal-gallery | d9492b5d29600da4a2999a9cc4914279e55f87ee | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse
import datetime as dt
from django.views import View
from photos.models import Image, category
# Create your views here.
def welcome(request):
return render(request, 'welcome.html')
def display_page(request):
image = Image.objects.all()... | 27.534884 | 105 | 0.699324 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0.217905 |
f602a97c790f5ae9f623af20f687cb178aa58aa5 | 2,530 | py | Python | sem/constants.py | YoannDupont/SEM | ff21c5dc9a8e99eda81dc266e67cfa97dec7c243 | [
"MIT"
] | 22 | 2016-11-13T21:08:58.000Z | 2021-04-26T07:04:54.000Z | sem/constants.py | Raphencoder/SEM | ff21c5dc9a8e99eda81dc266e67cfa97dec7c243 | [
"MIT"
] | 15 | 2016-11-15T10:21:07.000Z | 2021-11-08T10:08:05.000Z | sem/constants.py | Raphencoder/SEM | ff21c5dc9a8e99eda81dc266e67cfa97dec7c243 | [
"MIT"
] | 8 | 2016-11-15T10:21:41.000Z | 2022-03-04T21:28:05.000Z | # -*- coding: utf-8 -*-
"""
file: constants.py
Description: some useful constants that could be of some use in SEM and
beyond.
author: Yoann Dupont
MIT License
Copyright (c) 2018 Yoann Dupont
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation... | 32.857143 | 89 | 0.705929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,936 | 0.765217 |
f6039a035e0c79c81407aabe0db10a251b036b44 | 2,383 | py | Python | newsbreak.py | mitchsmith/news_munger | e9c8362dd3085acb2b1f0cfd4cb313ef9f6bf06d | [
"MIT"
] | null | null | null | newsbreak.py | mitchsmith/news_munger | e9c8362dd3085acb2b1f0cfd4cb313ef9f6bf06d | [
"MIT"
] | null | null | null | newsbreak.py | mitchsmith/news_munger | e9c8362dd3085acb2b1f0cfd4cb313ef9f6bf06d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" This module provides a command line interface to news_munger. """
import datetime
import random
import argparse
from munger import DocumentCatalog, Munger
parser = argparse.ArgumentParser()
parser.parse_args()
## Classes ##
class MadLib(Munger):
"""Real soo... | 26.775281 | 77 | 0.586655 | 2,015 | 0.845573 | 0 | 0 | 0 | 0 | 0 | 0 | 688 | 0.288712 |
f6076a72ecf2f080ef45e72da4240a2e7661a299 | 8,246 | py | Python | pipeline/dag.py | OpenSourceEconomics/pipeline | cdd9679c62af32f52a07aba800b752e90af08396 | [
"BSD-3-Clause"
] | 3 | 2020-03-23T12:15:19.000Z | 2020-05-12T11:52:21.000Z | pipeline/dag.py | OpenSourceEconomics/pipeline | cdd9679c62af32f52a07aba800b752e90af08396 | [
"BSD-3-Clause"
] | 22 | 2020-04-06T22:24:18.000Z | 2020-05-13T11:44:57.000Z | pipeline/dag.py | OpenSourceEconomics/pipeline | cdd9679c62af32f52a07aba800b752e90af08396 | [
"BSD-3-Clause"
] | null | null | null | """This module contains the code related to the DAG and the scheduler."""
from pathlib import Path
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
from mpl_toolkits.axes_grid1 import make_axes_locatable
from networkx.drawing import nx_pydot... | 31.96124 | 88 | 0.642251 | 3,604 | 0.43706 | 0 | 0 | 113 | 0.013704 | 0 | 0 | 2,955 | 0.358356 |
f607f4917d87af5bd9f2a106689f14808e678707 | 2,459 | py | Python | windyquery/validator/fullname_json.py | bluerelay/windyquery | 049dc624f4c4a3210d455352b1495db6bd1ff441 | [
"MIT"
] | 51 | 2019-05-13T10:51:23.000Z | 2021-09-12T08:11:56.000Z | windyquery/validator/fullname_json.py | bluerelay/windyquery | 049dc624f4c4a3210d455352b1495db6bd1ff441 | [
"MIT"
] | 2 | 2020-10-08T16:28:45.000Z | 2021-06-23T03:27:42.000Z | windyquery/validator/fullname_json.py | bluerelay/windyquery | 049dc624f4c4a3210d455352b1495db6bd1ff441 | [
"MIT"
] | 3 | 2021-05-10T13:08:21.000Z | 2021-06-20T19:58:30.000Z | from windyquery.provider._base import JSONB
from ._base import _rule
from .fullname import Fullname
from .number import Number
from .operators.minus import Minus
class FullnameJson(Fullname, Number, Minus):
reserved = {**Fullname.reserved, **Number.reserved, **Minus.reserved}
tokens = Fullname.tokens + Number... | 30.7375 | 73 | 0.542497 | 2,294 | 0.9329 | 0 | 0 | 1,881 | 0.764945 | 0 | 0 | 467 | 0.189915 |
f609ea1edf133c69b084cabfbd8b3cb1f4199f52 | 37 | py | Python | heatmap/__init__.py | Bilal-Yousaf/heatmap | 789907301f9663feca72fb84dffbe2de08869975 | [
"MIT"
] | 5 | 2020-03-25T20:31:48.000Z | 2021-04-23T09:53:50.000Z | heatmap/__init__.py | Bilal-Yousaf/HeatMap | 789907301f9663feca72fb84dffbe2de08869975 | [
"MIT"
] | null | null | null | heatmap/__init__.py | Bilal-Yousaf/HeatMap | 789907301f9663feca72fb84dffbe2de08869975 | [
"MIT"
] | null | null | null | from .heatmap import generate_heatmap | 37 | 37 | 0.891892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f60a3f4c653a3d461182600bc1efb2e3052bf960 | 1,575 | py | Python | download-files.py | CrowderSoup/download-files | 2abc35aecd010dd246e0b9b8af7880f51ea47b7e | [
"Unlicense"
] | null | null | null | download-files.py | CrowderSoup/download-files | 2abc35aecd010dd246e0b9b8af7880f51ea47b7e | [
"Unlicense"
] | null | null | null | download-files.py | CrowderSoup/download-files | 2abc35aecd010dd246e0b9b8af7880f51ea47b7e | [
"Unlicense"
] | null | null | null | import os, os.path, urllib.request, sys, getopt
def main(argv):
print(argv)
input_file = ''
download_dir = ''
try:
opts, args = getopt.getopt(argv,
"hi:d:",
["input-file=","download-dir="])
except getopt.GetoptError as ... | 30.288462 | 78 | 0.510476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 392 | 0.248889 |
f60af4235aef343759e761d60c46b44ec31d12af | 929 | py | Python | pynif3d/pipeline/base_pipeline.py | pfnet/pynif3d | da3680cce7e8fc4c194f13a1528cddbad9a18ab0 | [
"MIT"
] | 66 | 2021-08-18T01:30:17.000Z | 2022-02-19T10:35:52.000Z | pynif3d/pipeline/base_pipeline.py | pfnet/pynif3d | da3680cce7e8fc4c194f13a1528cddbad9a18ab0 | [
"MIT"
] | 6 | 2021-08-18T01:36:31.000Z | 2021-09-02T11:18:01.000Z | pynif3d/pipeline/base_pipeline.py | pfnet/pynif3d | da3680cce7e8fc4c194f13a1528cddbad9a18ab0 | [
"MIT"
] | 3 | 2021-11-22T23:06:20.000Z | 2022-02-10T06:24:40.000Z | import os
import gdown
import torch
import yaml
from pynif3d.common.verification import check_in_options, check_path_exists
from pynif3d.log.log_funcs import func_logger
class BasePipeline(torch.nn.Module):
@func_logger
def __init__(self):
super().__init__()
def load_pretrained_model(self, yaml... | 28.151515 | 80 | 0.698601 | 754 | 0.811625 | 0 | 0 | 63 | 0.067815 | 0 | 0 | 48 | 0.051668 |
f60b7b13f9cee75fd4af4cab97ad49f4feeb9a82 | 392 | py | Python | search.py | joyfulflyer/billboard-spotify | a6561e4718ea671721b2a8f900ecfbf49a9f6c1b | [
"MIT"
] | null | null | null | search.py | joyfulflyer/billboard-spotify | a6561e4718ea671721b2a8f900ecfbf49a9f6c1b | [
"MIT"
] | null | null | null | search.py | joyfulflyer/billboard-spotify | a6561e4718ea671721b2a8f900ecfbf49a9f6c1b | [
"MIT"
] | null | null | null | from spotify_auth import auth
from urllib import parse
import json
def search(track_name, artist, type='track'):
parsed = parse.quote_plus(query)
query = "artist:{}%20track:{}".format(artist, track_name)
response = auth.get(
'https://api.spotify.com/v1/search?q={}&type={}'.format(query, type))
... | 30.153846 | 77 | 0.701531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.196429 |
f60b96e5a2ce996ad44a1fdf8fb2152dfc983fc2 | 9,910 | py | Python | fastccd_support_ioc/fastccd_support_ioc.py | lbl-camera/fastccd_support_ioc | 80b3820744e9aec7923af6adec0a66a0c51b2c21 | [
"BSD-3-Clause"
] | null | null | null | fastccd_support_ioc/fastccd_support_ioc.py | lbl-camera/fastccd_support_ioc | 80b3820744e9aec7923af6adec0a66a0c51b2c21 | [
"BSD-3-Clause"
] | 1 | 2020-08-07T22:22:25.000Z | 2020-08-07T22:22:25.000Z | fastccd_support_ioc/fastccd_support_ioc.py | lbl-camera/fastccd_support_ioc | 80b3820744e9aec7923af6adec0a66a0c51b2c21 | [
"BSD-3-Clause"
] | 1 | 2021-02-08T22:06:05.000Z | 2021-02-08T22:06:05.000Z | from caproto.server import PVGroup, SubGroup, pvproperty, get_pv_pair_wrapper
from caproto import ChannelType
from . import utils, pvproperty_with_rbv, wrap_autosave, FastAutosaveHelper
from textwrap import dedent
import sys
from caproto.server import ioc_arg_parser, run
from caproto.sync.client import write, read
fro... | 43.656388 | 157 | 0.629566 | 8,955 | 0.903633 | 0 | 0 | 8,505 | 0.858224 | 6,430 | 0.64884 | 1,926 | 0.194349 |
f60c351db3d540f17c4848153f58c4bf3898b80c | 241 | py | Python | infrastructure-dashboard/nccid-redirect/lambda/lambda-handler.py | uk-gov-mirror/NHSX.covid-chest-imaging-database | 77799a97193d09e9267182d18fbb79d604bbb038 | [
"MIT"
] | 56 | 2020-04-08T12:40:28.000Z | 2021-10-02T22:57:16.000Z | infrastructure-dashboard/nccid-redirect/lambda/lambda-handler.py | uk-gov-mirror/NHSX.covid-chest-imaging-database | 77799a97193d09e9267182d18fbb79d604bbb038 | [
"MIT"
] | 111 | 2020-04-02T13:23:06.000Z | 2022-03-30T13:23:28.000Z | infrastructure-dashboard/nccid-redirect/lambda/lambda-handler.py | uk-gov-mirror/NHSX.covid-chest-imaging-database | 77799a97193d09e9267182d18fbb79d604bbb038 | [
"MIT"
] | 10 | 2020-05-05T14:07:11.000Z | 2022-01-11T15:47:27.000Z | def handler(event, context):
return {
"statusCode": 302,
"headers": {
"Location": "https://www.nhsx.nhs.uk/covid-19-response/data-and-covid-19/national-covid-19-chest-imaging-database-nccid/"
},
}
| 30.125 | 133 | 0.589212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.580913 |
f60c8d54e5e796dde011b4726884df78f2198799 | 1,529 | py | Python | MachineLearning/SparkPREDICT_E2E_MLFLOW_Xgboost.py | AjAgr/Synapse | b009b6479c3b9797a12e24dcd110b71ca8566212 | [
"MIT"
] | null | null | null | MachineLearning/SparkPREDICT_E2E_MLFLOW_Xgboost.py | AjAgr/Synapse | b009b6479c3b9797a12e24dcd110b71ca8566212 | [
"MIT"
] | null | null | null | MachineLearning/SparkPREDICT_E2E_MLFLOW_Xgboost.py | AjAgr/Synapse | b009b6479c3b9797a12e24dcd110b71ca8566212 | [
"MIT"
] | 1 | 2022-02-22T11:24:41.000Z | 2022-02-22T11:24:41.000Z | #!/usr/bin/env python
# coding: utf-8
# ## E2E Xgboost MLFLOW
# In[45]:
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, pandas_udf,udf,lit
import azure.synapse.ml.predict as pcontext
import azure.synapse.ml.predict.utils._logger as synapse_predict_logger
import numpy as np
import panda... | 15.602041 | 75 | 0.666449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 527 | 0.34467 |
f60d8908048f4ecdd577d5074d14eeb34f78c5bb | 2,930 | py | Python | models/gaze_rnn77.py | yj-yu/Recurrent_Gaze_Prediction | cf366095f19cd8c9ce271930d194db12a7d45018 | [
"MIT"
] | 9 | 2019-06-06T14:55:56.000Z | 2022-01-27T09:35:17.000Z | models/gaze_rnn77.py | yj-yu/Recurrent_Gaze_Prediction | cf366095f19cd8c9ce271930d194db12a7d45018 | [
"MIT"
] | 1 | 2021-06-01T22:34:37.000Z | 2021-06-01T22:34:37.000Z | models/gaze_rnn77.py | yj-yu/Recurrent_Gaze_Prediction | cf366095f19cd8c9ce271930d194db12a7d45018 | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
"""
gaze_rnn7.py
Implement a simple recurrent gaze prediction model based on RNN(GRU).
In this version, the gaze DIM is REDUCED to 7x7 dimension.
"""
# TODO separate pupil from gazemaps, AWFUL design
import numpy as np
import os
import sys
import time
from PIL import Image
import tensorflow ... | 28.173077 | 84 | 0.713652 | 1,790 | 0.610922 | 0 | 0 | 0 | 0 | 0 | 0 | 542 | 0.184983 |
f60df9264d987445f7433e60e82a4593c3bbdb6a | 1,218 | py | Python | py/dcp/problems/graph/max_edges.py | bmoretz/Daily-Coding-Problem | f79e062e9f6e7b18b7e95c071fbe71ad104affcb | [
"MIT"
] | 1 | 2020-06-26T13:28:43.000Z | 2020-06-26T13:28:43.000Z | py/dcp/problems/graph/max_edges.py | bmoretz/Daily-Coding-Problem | f79e062e9f6e7b18b7e95c071fbe71ad104affcb | [
"MIT"
] | 7 | 2021-11-18T19:46:08.000Z | 2022-03-12T01:03:01.000Z | py/dcp/problems/graph/max_edges.py | bmoretz/Daily-Coding-Problem | f79e062e9f6e7b18b7e95c071fbe71ad104affcb | [
"MIT"
] | null | null | null | from collections import defaultdict
from .common import IGraph
''' Remove edges to create even trees.
You are given a tree with an even number of nodes. Consider each connection between a parent and child node to be an "edge". You
would like to remove some of these edges, such that the disconnected subtrees that rem... | 28.325581 | 128 | 0.656814 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 0.529557 |
f60e8f8a52c502e39de2e2fbda338251bd902c5a | 1,362 | py | Python | test_pytrain/test_KNN/test_KNN.py | pytrain/pytrain-shallow | c873a6f11f1dd940da12e7c9a3c961507d064d9a | [
"MIT"
] | 20 | 2016-09-03T10:56:06.000Z | 2020-08-21T01:43:47.000Z | test_pytrain/test_KNN/test_KNN.py | pytrain/pytrain | c873a6f11f1dd940da12e7c9a3c961507d064d9a | [
"MIT"
] | 8 | 2016-11-14T12:33:38.000Z | 2017-07-14T15:43:53.000Z | test_pytrain/test_KNN/test_KNN.py | pytrain/pytrain | c873a6f11f1dd940da12e7c9a3c961507d064d9a | [
"MIT"
] | 7 | 2017-02-09T16:50:37.000Z | 2022-01-02T01:18:56.000Z | #
# test KNN
#
# @ author becxer
# @ email becxer87@gmail.com
#
from test_pytrain import test_Suite
from pytrain.KNN import KNN
from pytrain.lib import autotest
from pytrain.lib import dataset
import numpy as np
class test_KNN_iris(test_Suite):
def __init__(self, logging = True):
test_Suite.__init__(self,... | 34.05 | 95 | 0.709251 | 1,136 | 0.834068 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0.190162 |
f60f32aa489881ec2e8225930b221b8c8e96f54f | 2,416 | py | Python | python_data_utils/spark/ml/randomforest.py | surajiyer/python-data-utils | d6e9bf81204a01545a3edb165c5724eb24f37c18 | [
"MIT"
] | 4 | 2019-01-06T00:09:21.000Z | 2022-01-28T06:03:13.000Z | python_data_utils/spark/ml/randomforest.py | surajiyer/python-data-utils | d6e9bf81204a01545a3edb165c5724eb24f37c18 | [
"MIT"
] | null | null | null | python_data_utils/spark/ml/randomforest.py | surajiyer/python-data-utils | d6e9bf81204a01545a3edb165c5724eb24f37c18 | [
"MIT"
] | null | null | null | __all__ = ['RandomForestBinaryModel']
from pyspark.sql import DataFrame
from pyspark.ml.classification import RandomForestClassifier
from python_data_utils.spark.evaluation.multiclass import MulticlassEvaluator
from python_data_utils.spark.ml.base import BinaryClassCVModel, Metrics
class RandomForestBinaryModel(Bin... | 39.606557 | 101 | 0.657699 | 2,128 | 0.880795 | 0 | 0 | 409 | 0.169288 | 0 | 0 | 632 | 0.261589 |
f610b3662a3cf10a10d6b9f3bf736444d51ee13b | 2,815 | py | Python | predict.py | zahrabashir98/SmileDetection | 66700dfbd2809f057d224d438a75bef99edffc56 | [
"MIT"
] | 17 | 2019-02-19T15:14:43.000Z | 2021-07-09T14:36:19.000Z | predict.py | zahrabashir98/SmileDetection | 66700dfbd2809f057d224d438a75bef99edffc56 | [
"MIT"
] | 1 | 2021-01-07T02:51:35.000Z | 2021-01-07T02:51:35.000Z | predict.py | zahrabashir98/SmileDetection | 66700dfbd2809f057d224d438a75bef99edffc56 | [
"MIT"
] | 2 | 2019-02-01T17:46:39.000Z | 2020-06-17T12:10:52.000Z | import sys
import cv2
from keras.models import load_model
from matplotlib import pyplot as plt
import time
model = load_model("models/model.h5")
def find_faces(image):
face_cascade = cv2.CascadeClassifier('data/haarcascade_frontalface_default.xml')
face_rects = face_cascade.detectMultiScale(
image,... | 26.308411 | 110 | 0.621314 | 0 | 0 | 779 | 0.276732 | 0 | 0 | 0 | 0 | 236 | 0.083837 |
f612b87c818bc244cde8457fdae9a749fd1f7f0f | 1,088 | py | Python | src/brute_force.py | tcysin/tsp-solver | 5361aefb7e2dc4d851320cd1cc8ac33aad50d76b | [
"MIT"
] | 2 | 2020-10-10T18:21:33.000Z | 2021-05-29T12:53:45.000Z | src/brute_force.py | DishanMdr/tsp-solver | 5361aefb7e2dc4d851320cd1cc8ac33aad50d76b | [
"MIT"
] | 4 | 2019-10-01T19:31:54.000Z | 2019-10-07T09:53:16.000Z | src/brute_force.py | AlekseiTcysin/tsp-solver | 5361aefb7e2dc4d851320cd1cc8ac33aad50d76b | [
"MIT"
] | 1 | 2021-05-29T12:53:47.000Z | 2021-05-29T12:53:47.000Z | """
Implementation of Brute Force algorithm.
Checks all possible tours and selects the shortest one.
"""
from itertools import permutations
def brute_force(graph):
"""Calculates and returns shortest tour using brute force approach.
Runs in O(n!). Provides exact solution.
Args:
graph: instance ... | 23.652174 | 71 | 0.613051 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 493 | 0.453125 |
f6141ec62f73733e8e0035ee98f16f938d62b41d | 5,414 | py | Python | web_app.py | akshitagupta23/Udacity_DS_ND_Capstone_Project | 1c500765f84160312935c48f9c1432256cf5df06 | [
"MIT"
] | null | null | null | web_app.py | akshitagupta23/Udacity_DS_ND_Capstone_Project | 1c500765f84160312935c48f9c1432256cf5df06 | [
"MIT"
] | null | null | null | web_app.py | akshitagupta23/Udacity_DS_ND_Capstone_Project | 1c500765f84160312935c48f9c1432256cf5df06 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# coding=utf-8
import streamlit as st
import numpy as np
import pandas as pd
import joblib
from sklearn.ensemble import RandomForestClassifier
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn.compose import ColumnTransformer
from sklearn.impute import SimpleImpute... | 42.629921 | 152 | 0.634281 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,473 | 0.272072 |
f614a355b5c9fc85356cc143f4b8958e225a2420 | 9,315 | py | Python | evaluation.py | Sockeye-Project/decl-power-seq | b3eed4b7abfdac647b8ff7653806665436e3e54d | [
"MIT"
] | null | null | null | evaluation.py | Sockeye-Project/decl-power-seq | b3eed4b7abfdac647b8ff7653806665436e3e54d | [
"MIT"
] | null | null | null | evaluation.py | Sockeye-Project/decl-power-seq | b3eed4b7abfdac647b8ff7653806665436e3e54d | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
import argparse
import random
import timeit
import copy
from sequence_generation import State_Search_Flags, Topology, topological_sort
from enzian_descriptions import enzian_nodes, enzian_wires, enzian_nodes_EVAL3
problems = [
("p1", {"cpu" : "POWERED_ON", "fpga": "POWERED_ON"}, {"vdd_ddr... | 45.661765 | 198 | 0.620183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,738 | 0.293935 |
f614d1aa5bffc66394d94ec1d27b271cbd750435 | 3,647 | py | Python | venv/Lib/site-packages/gensim/test/test_probability_estimation.py | arnoyu-hub/COMP0016miemie | 59af664dcf190eab4f93cefb8471908717415fea | [
"MIT"
] | null | null | null | venv/Lib/site-packages/gensim/test/test_probability_estimation.py | arnoyu-hub/COMP0016miemie | 59af664dcf190eab4f93cefb8471908717415fea | [
"MIT"
] | null | null | null | venv/Lib/site-packages/gensim/test/test_probability_estimation.py | arnoyu-hub/COMP0016miemie | 59af664dcf190eab4f93cefb8471908717415fea | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2011 Radim Rehurek <radimrehurek@seznam.cz>
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
"""
Automated tests for probability estimation algorithms in the probability_estimation module.
"""
import logging
import un... | 35.754902 | 94 | 0.587332 | 3,035 | 0.832191 | 0 | 0 | 0 | 0 | 0 | 0 | 630 | 0.172745 |
f6157ffabb60051dc58e33f25b48c08c00d0742e | 5,877 | py | Python | src/geomm/centering.py | stxinsite/geomm | 05ce2404614e3a594c5d5e059b957140f4983bc3 | [
"MIT"
] | 3 | 2018-05-01T16:26:15.000Z | 2019-06-19T21:17:47.000Z | src/geomm/centering.py | stxinsite/geomm | 05ce2404614e3a594c5d5e059b957140f4983bc3 | [
"MIT"
] | null | null | null | src/geomm/centering.py | stxinsite/geomm | 05ce2404614e3a594c5d5e059b957140f4983bc3 | [
"MIT"
] | 1 | 2021-09-28T15:17:16.000Z | 2021-09-28T15:17:16.000Z | import numpy as np
from geomm.centroid import centroid
def center(coords, center_point):
"""Center coordinates at the origin based on a center point.
If idxs are given the center of mass is computed only from those
coordinates and if weights are given a weighted center of mass is
computed.
Param... | 31.095238 | 90 | 0.680619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,846 | 0.654416 |
f61742ad1e6b7bd4951030a62b2c0b4b421ab907 | 4,082 | py | Python | xigt/exporters/itsdb.py | lizcconrad/xigt | 2fd3e107dc2b5e8bf6fa4e6b13cf67028ff89093 | [
"MIT"
] | null | null | null | xigt/exporters/itsdb.py | lizcconrad/xigt | 2fd3e107dc2b5e8bf6fa4e6b13cf67028ff89093 | [
"MIT"
] | null | null | null | xigt/exporters/itsdb.py | lizcconrad/xigt | 2fd3e107dc2b5e8bf6fa4e6b13cf67028ff89093 | [
"MIT"
] | null | null | null | import logging
from os.path import isfile, join as pjoin
from os import environ
try:
from delphin import tsdb
except ImportError:
raise ImportError(
'Could not import pyDelphin module. Get it from here:\n'
' https://github.com/goodmami/pydelphin'
)
# ECC 2021-07-26: the lambda for i-comm... | 40.415842 | 316 | 0.638902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,061 | 0.5049 |
f6185b7b68831ed7849329b53e5d282146c91eaa | 1,072 | py | Python | spectrum_test.py | PeiKaLunCi/rectangular_RIE | 29afdde1798ac8c4fb5f162c2033269ac18e1583 | [
"MIT"
] | 2 | 2022-03-19T08:07:00.000Z | 2022-03-22T08:35:06.000Z | spectrum_test.py | PeiKaLunCi/rectangular_RIE | 29afdde1798ac8c4fb5f162c2033269ac18e1583 | [
"MIT"
] | null | null | null | spectrum_test.py | PeiKaLunCi/rectangular_RIE | 29afdde1798ac8c4fb5f162c2033269ac18e1583 | [
"MIT"
] | 1 | 2022-03-19T08:06:51.000Z | 2022-03-19T08:06:51.000Z | import numpy as np
import matplotlib.pyplot as plt
import g_functions as g_f
R1 = 2
R2 = .6
M = 500
Delta = .1
NB_POINTS = 2**10
EPSILON_IMAG = 1e-8
parameters = {
'M' : M,
'R1' : R1,
'R2' : R2,
'NB_POINTS' : NB_POINTS,
'EPSILON_IMAG' : EPSILON_IMAG,
've... | 23.822222 | 90 | 0.655784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 386 | 0.360075 |
f618776d83cae749bd8dfd7a18734f7ba04c9b06 | 1,129 | py | Python | Part_2_intermediate/mod_2/lesson_2/homework_1/homework.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null | Part_2_intermediate/mod_2/lesson_2/homework_1/homework.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null | Part_2_intermediate/mod_2/lesson_2/homework_1/homework.py | Mikma03/InfoShareacademy_Python_Courses | 3df1008c8c92831bebf1625f960f25b39d6987e6 | [
"MIT"
] | null | null | null |
# Utwórz klasy do reprezentacji Produktu, Zamówienia, Jabłek i Ziemniaków.
# Stwórz po kilka obiektów typu jabłko i ziemniak i wypisz ich typ za pomocą funkcji wbudowanej type.
# Stwórz listę zawierającą 5 zamówień oraz słownik, w którym kluczami będą nazwy produktów
# a wartościami instancje klasy produkt.
class Pr... | 22.58 | 101 | 0.644818 | 87 | 0.075652 | 0 | 0 | 0 | 0 | 0 | 0 | 521 | 0.453043 |
f61930fbe75a973bf027da1a6d037d44481d82ff | 2,625 | py | Python | examples/validate_ndc.py | almarklein/visvis2 | 728a4b7434879d3606f32836eda3971ed73905f8 | [
"BSD-2-Clause"
] | 7 | 2019-12-20T14:15:53.000Z | 2020-05-03T17:43:02.000Z | examples/validate_ndc.py | almarklein/visvis2 | 728a4b7434879d3606f32836eda3971ed73905f8 | [
"BSD-2-Clause"
] | 30 | 2020-02-10T08:59:30.000Z | 2020-06-16T21:21:33.000Z | examples/validate_ndc.py | almarklein/visvis2 | 728a4b7434879d3606f32836eda3971ed73905f8 | [
"BSD-2-Clause"
] | null | null | null | """
Example (and test) for the NDC coordinates. Draws a square that falls partly out of visible range.
* The scene should show a band from the bottom left to the upper right.
* The bottom-left (NDC -1 -1) must be green, the upper-right (NDC 1 1) blue.
* The other corners must be black, cut off at exactly half way: the... | 28.225806 | 123 | 0.602667 | 1,297 | 0.494095 | 0 | 0 | 477 | 0.181714 | 0 | 0 | 1,413 | 0.538286 |
f61a2ffd3ec4c8094b826196a15aa36e177ad663 | 122 | py | Python | myy/accounts/admin.py | ramadevim/Travel-website | b2bec8d7ea847b5105c181fe1099bb85950dbd76 | [
"MIT"
] | null | null | null | myy/accounts/admin.py | ramadevim/Travel-website | b2bec8d7ea847b5105c181fe1099bb85950dbd76 | [
"MIT"
] | null | null | null | myy/accounts/admin.py | ramadevim/Travel-website | b2bec8d7ea847b5105c181fe1099bb85950dbd76 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
from .models import Register
admin.site.register(Register) | 20.333333 | 32 | 0.811475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.229508 |
f61b418707bd8d1c9d2bec14e8a8db0e5f4a45ab | 12,572 | py | Python | ipy/nuisancelib.py | chrispycheng/nuisance | 4ba140b2b8760a45a594cd49451b6d4a7e1cc3db | [
"Apache-2.0"
] | null | null | null | ipy/nuisancelib.py | chrispycheng/nuisance | 4ba140b2b8760a45a594cd49451b6d4a7e1cc3db | [
"Apache-2.0"
] | 8 | 2020-06-29T13:01:22.000Z | 2021-01-21T02:05:24.000Z | ipy/nuisancelib.py | chrispycheng/nuisance | 4ba140b2b8760a45a594cd49451b6d4a7e1cc3db | [
"Apache-2.0"
] | 1 | 2020-08-11T14:09:25.000Z | 2020-08-11T14:09:25.000Z | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import statsmodels.api as sm
import datetime as dt
from statsmodels.stats.multitest import fdrcorrection
from pylab import savefig
# FUNCTIONS YOU CAN USE:
# analyses(filepath) spits out a nifty heatmap to let you check ... | 35.817664 | 124 | 0.613427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,849 | 0.385698 |
f61b72c600c72677f6d1712bc62795a8c1da3213 | 7,482 | py | Python | tests/test_config_defaults.py | nmichlo/eunomia | 5c6ef13b5af5335d4437867953b5eaa872ac56bb | [
"MIT"
] | 3 | 2021-02-07T17:55:46.000Z | 2021-02-15T11:58:36.000Z | tests/test_config_defaults.py | nmichlo/eunomia | 5c6ef13b5af5335d4437867953b5eaa872ac56bb | [
"MIT"
] | null | null | null | tests/test_config_defaults.py | nmichlo/eunomia | 5c6ef13b5af5335d4437867953b5eaa872ac56bb | [
"MIT"
] | null | null | null | import pytest
from eunomia.config._default import Default
from eunomia.config.nodes import ConfigNode
from tests.test_backend_obj import _make_config_group
# ========================================================================= #
# Test YAML & Custom Tags #
# ===... | 66.212389 | 189 | 0.62911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,838 | 0.37931 |
f61ba368dd6ce3592ab58a543cda6b7e4d14ce8d | 3,499 | py | Python | rj_gameplay/stp/coordinator.py | RoboJackets/robocup-software | ae2920b8b98213e625d0565dd67005e7a8595fac | [
"Apache-2.0"
] | 200 | 2015-01-26T01:45:34.000Z | 2022-03-19T13:05:31.000Z | rj_gameplay/stp/coordinator.py | RoboJackets/robocup-software | ae2920b8b98213e625d0565dd67005e7a8595fac | [
"Apache-2.0"
] | 1,254 | 2015-01-03T01:57:35.000Z | 2022-03-16T06:32:21.000Z | rj_gameplay/stp/coordinator.py | RoboJackets/robocup-software | ae2920b8b98213e625d0565dd67005e7a8595fac | [
"Apache-2.0"
] | 206 | 2015-01-21T02:03:18.000Z | 2022-02-01T17:57:46.000Z | """This module contains the implementation of the coordinator."""
from typing import Any, Dict, Optional, Type, List, Callable
import stp.play
import stp.rc as rc
import stp.role.assignment as assignment
import stp.situation
import stp.skill
from rj_msgs import msg
NUM_ROBOTS = 16
class Coordinator:
"""The coor... | 36.447917 | 98 | 0.654473 | 3,212 | 0.917977 | 0 | 0 | 0 | 0 | 0 | 0 | 1,053 | 0.300943 |
f61c2aa8d4b0c6d527e4128c6b11bb2329c17ab9 | 651 | py | Python | apf/core/templates/step/package/step.py | alercebroker/APF | d71cec49ee7f4a1667210b70c48501d036d5c08b | [
"MIT"
] | 2 | 2020-03-12T17:27:11.000Z | 2020-05-28T21:21:51.000Z | apf/core/templates/step/package/step.py | alercebroker/APF | d71cec49ee7f4a1667210b70c48501d036d5c08b | [
"MIT"
] | 15 | 2019-11-25T19:51:39.000Z | 2022-03-04T19:00:31.000Z | apf/core/templates/step/package/step.py | alercebroker/APF | d71cec49ee7f4a1667210b70c48501d036d5c08b | [
"MIT"
] | 2 | 2020-06-21T07:55:58.000Z | 2022-02-08T11:09:05.000Z | from apf.core.step import GenericStep
import logging
class {{step_name}}(GenericStep):
"""{{step_name}} Description
Parameters
----------
consumer : GenericConsumer
Description of parameter `consumer`.
**step_args : type
Other args passed to step (DB connections, API requests, etc... | 26.04 | 87 | 0.560676 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 334 | 0.513057 |
f61d22ab24870ca8c56c224b5de2063d76fef120 | 5,107 | py | Python | NLPFeatures.py | Nik0l/UTemPr | cc8c64dd01910194d1f18530a687595dceff30df | [
"MIT"
] | 2 | 2016-02-24T19:36:12.000Z | 2017-08-04T07:46:06.000Z | NLPFeatures.py | Nik0l/UTemPr | cc8c64dd01910194d1f18530a687595dceff30df | [
"MIT"
] | 1 | 2016-03-03T09:18:07.000Z | 2016-03-03T09:18:07.000Z | NLPFeatures.py | Nik0l/UTemPr | cc8c64dd01910194d1f18530a687595dceff30df | [
"MIT"
] | 2 | 2017-04-18T09:56:30.000Z | 2019-11-22T01:40:10.000Z | __author__ = 'nb254'
#requires question_title_length.csv for processing: TITLE, BODY, POSTID, USERID
import nltk, csv
import pandas as pd
import Features as features
#test = "<p>I have an original Arduino UNO R3 that I bought and an <a href='http://arduino.cc/en/Main/ArduinoBoardSerialSingleSided3' rel='nofollow'>Ardui... | 45.598214 | 1,568 | 0.649305 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,693 | 0.527315 |
f61e64e60bae831530e8e51ff7a2f490426146d5 | 4,925 | py | Python | Linux/.local/share/ulauncher/extensions/com.github.ulauncher.ulauncher-kill/main.py | altdx/dotfiles | ff058d343fc2c247f6cb3dfa53edd43f36c279cd | [
"MIT"
] | null | null | null | Linux/.local/share/ulauncher/extensions/com.github.ulauncher.ulauncher-kill/main.py | altdx/dotfiles | ff058d343fc2c247f6cb3dfa53edd43f36c279cd | [
"MIT"
] | null | null | null | Linux/.local/share/ulauncher/extensions/com.github.ulauncher.ulauncher-kill/main.py | altdx/dotfiles | ff058d343fc2c247f6cb3dfa53edd43f36c279cd | [
"MIT"
] | null | null | null | import os
import logging
import gi
gi.require_version('Gtk', '3.0')
gi.require_version('Notify', '0.7')
from locale import atof, setlocale, LC_NUMERIC
from gi.repository import Notify
from itertools import islice
from subprocess import check_output, check_call, CalledProcessError
from ulauncher.api.client.Extension i... | 38.476563 | 120 | 0.596954 | 3,398 | 0.689949 | 1,671 | 0.339289 | 0 | 0 | 0 | 0 | 552 | 0.112081 |
f61eff0aa27ea8fbb3e6d4a3ba4c910c4db8c5f0 | 2,037 | py | Python | toutiao-backend/toutiao/resources/user/profile.py | weiyunfei520/toutiao | f1fdb4dd88aff0f67d11e19b13bd1a90a26ac642 | [
"MIT"
] | null | null | null | toutiao-backend/toutiao/resources/user/profile.py | weiyunfei520/toutiao | f1fdb4dd88aff0f67d11e19b13bd1a90a26ac642 | [
"MIT"
] | null | null | null | toutiao-backend/toutiao/resources/user/profile.py | weiyunfei520/toutiao | f1fdb4dd88aff0f67d11e19b13bd1a90a26ac642 | [
"MIT"
] | null | null | null | from flask import current_app
from flask import g
from flask import request
from flask_restful.reqparse import RequestParser
from flask_restful import Resource
from models import db
from models.user import User
from utils.decorators import login_required
from utils.parser import image_file
from utils.storage import up... | 31.338462 | 86 | 0.634757 | 1,906 | 0.835598 | 0 | 0 | 0 | 0 | 0 | 0 | 700 | 0.306883 |
f620b14338e61be682d35b0543506d9c7f9a1c6d | 905 | py | Python | manim/utils/unit.py | PhotonSpheres/manim | 7399c24b33095e29633fd75460d13eae5703cba9 | [
"MIT"
] | 9,497 | 2020-05-19T04:05:51.000Z | 2022-03-31T19:00:02.000Z | manim/utils/unit.py | PhotonSpheres/manim | 7399c24b33095e29633fd75460d13eae5703cba9 | [
"MIT"
] | 2,052 | 2020-05-19T03:35:26.000Z | 2022-03-31T16:18:06.000Z | manim/utils/unit.py | PhotonSpheres/manim | 7399c24b33095e29633fd75460d13eae5703cba9 | [
"MIT"
] | 1,016 | 2020-05-20T01:16:11.000Z | 2022-03-30T16:47:14.000Z | """Implement the Unit class."""
import numpy as np
from .. import config, constants
__all__ = ["Pixels", "Degrees", "Munits", "Percent"]
class _PixelUnits:
def __mul__(self, val):
return val * config.frame_width / config.pixel_width
def __rmul__(self, val):
return val * config.frame_width ... | 24.459459 | 70 | 0.653039 | 694 | 0.766851 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.106077 |
f6228da345431023f7834e4201a3bb44d8f2ebe1 | 112 | py | Python | backend/auth_app/serializers/__init__.py | nitinmehra/TodoApp | e1e8938330df6b59b8b064ac1a2dde61744d8392 | [
"MIT"
] | null | null | null | backend/auth_app/serializers/__init__.py | nitinmehra/TodoApp | e1e8938330df6b59b8b064ac1a2dde61744d8392 | [
"MIT"
] | null | null | null | backend/auth_app/serializers/__init__.py | nitinmehra/TodoApp | e1e8938330df6b59b8b064ac1a2dde61744d8392 | [
"MIT"
] | null | null | null | from .auth_serializer import MyTokenObtainPairSerializer
from .register_serializer import UserRegisterSerializer | 56 | 56 | 0.919643 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f6232a7604d0160345749d0571f7cdfb8e44d3c3 | 3,137 | py | Python | src/sensors.py | andrew-chang-dewitt/rpi-pir2mqtt-docker | 3da860fed40cd0ec7395ac4864e38d5eb38e0634 | [
"MIT"
] | 1 | 2020-04-13T13:20:50.000Z | 2020-04-13T13:20:50.000Z | src/sensors.py | andrew-chang-dewitt/rpi-security-gpio2mqtt | 3da860fed40cd0ec7395ac4864e38d5eb38e0634 | [
"MIT"
] | 17 | 2020-01-31T21:07:31.000Z | 2020-02-11T15:16:58.000Z | src/sensors.py | andrew-chang-dewitt/rpi-security-gpio2mqtt | 3da860fed40cd0ec7395ac4864e38d5eb38e0634 | [
"MIT"
] | null | null | null | """A module for defining Sensor types.
Classes:
Sensor -- Base Sensor class, all unknown types default to this.
MotionSensor -- Subclass of Sensor, for HC-SR501 type PIR sensors.
ReedSwitch -- Subclass of Sensor, for basic door/window reed switches.
Functions:
build_sensor -- Build & return a ... | 31.37 | 79 | 0.634364 | 2,256 | 0.719158 | 0 | 0 | 356 | 0.113484 | 0 | 0 | 1,975 | 0.629582 |
f62464c4d4e238629f145959573630850492be9a | 1,940 | py | Python | main.py | TwoShock/Graphics-Card-Web-Scraper | 7161a63dca103826906388c61dbaecaff2f73238 | [
"MIT"
] | null | null | null | main.py | TwoShock/Graphics-Card-Web-Scraper | 7161a63dca103826906388c61dbaecaff2f73238 | [
"MIT"
] | null | null | null | main.py | TwoShock/Graphics-Card-Web-Scraper | 7161a63dca103826906388c61dbaecaff2f73238 | [
"MIT"
] | null | null | null | from urllib.request import urlopen
from bs4 import BeautifulSoup as soup
import re
import pandas as pd
def getContainerInfo(container):
name = container.img['title']
itemInfo = container.find('div',class_='item-info')
itemBranding = itemInfo.find('div',class_ = 'item-branding')
brandName = itemBranding... | 40.416667 | 135 | 0.655155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 0.206186 |
f62731a6aa290c859ecde18b54feaa791a6e0a5d | 1,228 | py | Python | python/qisrc/actions/checkout.py | aldebaran/qibuild | efea6fa3744664348717fe5e8df708a3cf392072 | [
"BSD-3-Clause"
] | 51 | 2015-01-05T14:35:13.000Z | 2021-07-27T06:46:59.000Z | python/qisrc/actions/checkout.py | aldebaran/qibuild | efea6fa3744664348717fe5e8df708a3cf392072 | [
"BSD-3-Clause"
] | 104 | 2015-04-09T10:48:42.000Z | 2020-09-16T16:33:29.000Z | python/qisrc/actions/checkout.py | aldebaran/qibuild | efea6fa3744664348717fe5e8df708a3cf392072 | [
"BSD-3-Clause"
] | 46 | 2015-01-05T14:35:16.000Z | 2022-02-13T20:39:36.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2012-2021 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license (see the COPYING file).
"""
Change the branch of the manifest
Also, checkout the correct branch for every git project in the worktree
"""
from __fu... | 31.487179 | 84 | 0.717427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 453 | 0.368893 |
f62827a67ce6f1302ffe03104ae4a729a1a0c806 | 961 | py | Python | experiments/calc_avg_bohb_time.py | automl/learning_environments | c1c7cec4506ba140b19c215f4bf7a8bd222b32a0 | [
"MIT"
] | 11 | 2021-02-06T15:26:12.000Z | 2022-03-05T11:24:17.000Z | experiments/calc_avg_bohb_time.py | automl/learning_environments | c1c7cec4506ba140b19c215f4bf7a8bd222b32a0 | [
"MIT"
] | 2 | 2022-02-10T00:01:37.000Z | 2022-03-12T01:07:59.000Z | experiments/calc_avg_bohb_time.py | automl/learning_environments | c1c7cec4506ba140b19c215f4bf7a8bd222b32a0 | [
"MIT"
] | 1 | 2022-03-14T02:37:48.000Z | 2022-03-14T02:37:48.000Z | import statistics
import hpbandster.core.result as hpres
# smallest value is best -> reverse_loss = True
# largest value is best -> reverse_loss = False
REVERSE_LOSS = True
EXP_LOSS = 1
OUTLIER_PERC_WORST = 0.1
OUTLIER_PERC_BEST = 0.0
def analyze_bohb(log_dir):
# load the example run from the log files
res... | 25.972973 | 102 | 0.680541 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 304 | 0.316337 |
f62b330cff46dc5c4c549afab05c1b96b01df850 | 2,926 | py | Python | radio/preprocessing/augmented_batch.py | dmitrysarov/radio-1 | c0162e7e2f39018d6ca8cf7d8ef2e37c22dd40fc | [
"Apache-2.0"
] | null | null | null | radio/preprocessing/augmented_batch.py | dmitrysarov/radio-1 | c0162e7e2f39018d6ca8cf7d8ef2e37c22dd40fc | [
"Apache-2.0"
] | null | null | null | radio/preprocessing/augmented_batch.py | dmitrysarov/radio-1 | c0162e7e2f39018d6ca8cf7d8ef2e37c22dd40fc | [
"Apache-2.0"
] | null | null | null | """ Contains CTImagesAugmentedBatch: masked ct-batch with some augmentation actions """
import numpy as np
from .ct_masked_batch import CTImagesMaskedBatch
from ..dataset.dataset import action, Sampler # pylint: disable=no-name-in-module
from .mask import insert_cropped
class CTImagesAugmentedBatch(CTImagesMaskedBa... | 37.512821 | 115 | 0.598086 | 2,650 | 0.905673 | 0 | 0 | 2,461 | 0.84108 | 0 | 0 | 1,459 | 0.498633 |
f62d98d9378ef48e987146d478ae9033a3dcf113 | 9,155 | py | Python | tf2/ThickCylinder_DEM.py | ISM-Weimar/DeepEnergyMethods | 3a51131e0827446bf5986d698aaac396c7fa5037 | [
"MIT"
] | 15 | 2019-09-11T01:35:03.000Z | 2022-03-25T03:17:59.000Z | tf2/ThickCylinder_DEM.py | ISM-Weimar/DeepEnergyMethods | 3a51131e0827446bf5986d698aaac396c7fa5037 | [
"MIT"
] | 2 | 2020-10-16T19:06:07.000Z | 2022-01-06T16:23:49.000Z | tf2/ThickCylinder_DEM.py | ISM-Weimar/DeepEnergyMethods | 3a51131e0827446bf5986d698aaac396c7fa5037 | [
"MIT"
] | 15 | 2019-09-11T01:35:05.000Z | 2022-02-18T21:18:55.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
2D linear elasticity example
Solve the equilibrium equation -\nabla \cdot \sigma(x) = f(x) for x\in\Omega
with the strain-displacement equation:
\epsilon = 1/2(\nabla u + \nabla u^T)
and the constitutive law:
\sigma = 2*\mu*\epsilon + \lambda*(\nabla\cdot u)I,... | 37.830579 | 103 | 0.72343 | 642 | 0.070126 | 0 | 0 | 286 | 0.03124 | 0 | 0 | 2,975 | 0.324959 |
f62fd3c1a6c3577c375970042756089fd3f9e611 | 1,224 | py | Python | src/trw/utils/clamp_n.py | civodlu/trw | b9a1cf045f61d6df9c65c014ef63b4048972dcdc | [
"MIT"
] | 3 | 2019-07-04T01:20:41.000Z | 2020-01-27T02:36:12.000Z | src/trw/utils/clamp_n.py | civodlu/trw | b9a1cf045f61d6df9c65c014ef63b4048972dcdc | [
"MIT"
] | null | null | null | src/trw/utils/clamp_n.py | civodlu/trw | b9a1cf045f61d6df9c65c014ef63b4048972dcdc | [
"MIT"
] | 2 | 2020-10-19T13:46:06.000Z | 2021-12-27T02:18:10.000Z | from typing import Sequence, Any
import torch
def clamp_n(tensor: torch.Tensor, min_values: Sequence[Any], max_values: Sequence[Any]) -> torch.Tensor:
"""
Clamp a tensor with axis dependent values.
Args:
tensor: a N-d torch.Tensor
min_values: a 1D torch.Tensor. Min value is axis dependent... | 37.090909 | 104 | 0.660131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 631 | 0.515523 |
f6300d71500ac859671e30287246eb5ec27f0524 | 437 | py | Python | bin2dec.py | Alba3k/BinToDec | 4a4874b40cdd69b732532308484eeb976e158d35 | [
"MIT"
] | null | null | null | bin2dec.py | Alba3k/BinToDec | 4a4874b40cdd69b732532308484eeb976e158d35 | [
"MIT"
] | null | null | null | bin2dec.py | Alba3k/BinToDec | 4a4874b40cdd69b732532308484eeb976e158d35 | [
"MIT"
] | null | null | null | def bin2dec(binNumber):
decNumber = 0
index = 1
binNumber = binNumber[::-1]
for i in binNumber:
number = int(i) * index
decNumber = decNumber + number
index = index * 2
return decNumber
print('ВВЕДИТЕ ДВОИЧНОЕ 8-БИТНОЕ ЧИСЛО')
binNumber = input('>')
if len(binNumber) != 8:
print('ВВЕДИТЕ ПРАВИЛЬНОЕ 8-БИТН... | 23 | 43 | 0.71167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 188 | 0.362235 |
f6302daf57e1897d3b623be1dae10ac2892a5ddb | 1,227 | py | Python | taskmanager/src/modules/tasks/domain/task.py | acostapazo/event-manager | 614c91af19fad39f766ffa1b9a3d1e783f06c72e | [
"MIT"
] | null | null | null | taskmanager/src/modules/tasks/domain/task.py | acostapazo/event-manager | 614c91af19fad39f766ffa1b9a3d1e783f06c72e | [
"MIT"
] | 1 | 2020-04-20T11:20:22.000Z | 2020-04-20T11:20:22.000Z | taskmanager/src/modules/tasks/domain/task.py | acostapazo/event-manager | 614c91af19fad39f766ffa1b9a3d1e783f06c72e | [
"MIT"
] | null | null | null | from typing import Any, Dict
from meiga import Result, Error, Success
from petisco import AggregateRoot
from datetime import datetime
from taskmanager.src.modules.tasks.domain.description import Description
from taskmanager.src.modules.tasks.domain.events import TaskCreated
from taskmanager.src.modules.tasks.domain.t... | 31.461538 | 81 | 0.682967 | 822 | 0.669927 | 0 | 0 | 216 | 0.176039 | 0 | 0 | 41 | 0.033415 |
f630f6ea5762c04cfcd310931e443ab55f0888fb | 4,085 | py | Python | CSD_API/get_from_author.py | andrewtarzia/cage_collect | e5e68dc23ec197eceff3b56de6725d996730b8ac | [
"MIT"
] | null | null | null | CSD_API/get_from_author.py | andrewtarzia/cage_collect | e5e68dc23ec197eceff3b56de6725d996730b8ac | [
"MIT"
] | null | null | null | CSD_API/get_from_author.py | andrewtarzia/cage_collect | e5e68dc23ec197eceff3b56de6725d996730b8ac | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
# Distributed under the terms of the MIT License.
"""
Script to search for and collect CIFs using a list of authors.
Author: Andrew Tarzia
Date Created: 1 Mar 2019
"""
import ccdc.search
import sys
import CSD_f
def write_entry(file, author, number, DOI, CSD, solvent,... | 28.566434 | 68 | 0.520685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,315 | 0.321909 |
f6316922d218565500b02ad1c78331fdf583ec07 | 641 | py | Python | src/datastructure/stacks_ex1.py | Valeeswaran/tutorials | 71b43cad46f4d7d2d67d3ff4be61bdaaade2a36a | [
"MIT"
] | null | null | null | src/datastructure/stacks_ex1.py | Valeeswaran/tutorials | 71b43cad46f4d7d2d67d3ff4be61bdaaade2a36a | [
"MIT"
] | null | null | null | src/datastructure/stacks_ex1.py | Valeeswaran/tutorials | 71b43cad46f4d7d2d67d3ff4be61bdaaade2a36a | [
"MIT"
] | null | null | null | import stacks1
def is_match(ch1, ch2):
match_dict = {
")": "(",
"]": "[",
"}": "{"
}
return match_dict[ch1] == ch2
def is_balanced(s):
stack = stacks1.Stack()
for ch in s:
if ch == '(' or ch == '{' or ch == '[':
stack.push(ch)
if ch == ')' or... | 20.677419 | 47 | 0.447738 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.127925 |
f631fd5dc1a814f372da186dbc180a4eadeb0274 | 2,100 | py | Python | recommend.py | Srini96/Market-Basket-Analysis-with-Customer-Profiling-and-Exploratory-Analysis-using-Python | 293291157a4d91c217c4008e058e01b1b930b923 | [
"MIT"
] | 1 | 2021-02-01T02:15:48.000Z | 2021-02-01T02:15:48.000Z | recommend.py | Srini96/Market-Basket-Analysis-with-Customer-Profiling-and-Exploratory-Analysis-using-Python | 293291157a4d91c217c4008e058e01b1b930b923 | [
"MIT"
] | null | null | null | recommend.py | Srini96/Market-Basket-Analysis-with-Customer-Profiling-and-Exploratory-Analysis-using-Python | 293291157a4d91c217c4008e058e01b1b930b923 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu May 3 18:30:29 2018
@author: Koushik
"""
import pandas as pd
from IPython.display import display
import sys
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 29 19:04:35 2018
@author: Koushik
"""
#Python 2.x program for Speech Recognition
import re
#ent... | 30.882353 | 91 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,298 | 0.618095 |
f6321b2979bddd05bf08689d0cd5e7faac1097ef | 584 | py | Python | image_pipeline/stages/__init__.py | MarcoGlauser/image_pipeline | a33b8a64773e8a0189155ae625d3060e15fb8def | [
"MIT"
] | null | null | null | image_pipeline/stages/__init__.py | MarcoGlauser/image_pipeline | a33b8a64773e8a0189155ae625d3060e15fb8def | [
"MIT"
] | null | null | null | image_pipeline/stages/__init__.py | MarcoGlauser/image_pipeline | a33b8a64773e8a0189155ae625d3060e15fb8def | [
"MIT"
] | null | null | null | from image_pipeline.stages.crop_stage import CropStage
from image_pipeline.stages.jpeg_lossless_compression import JPEGLossLessCompressionStage
from image_pipeline.stages.jpeg_lossy_compression import JPEGLossyCompressionStage
from image_pipeline.stages.resize_stage import ResizeStage
pre_stages = [
ResizeStage,
... | 27.809524 | 88 | 0.813356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.121575 |
f634dcfcb0026b1b4daab85dd3790ec59612e959 | 538 | py | Python | pyunitwizard/tests/test_get_form.py | dprada/pyunitwizard | dbfd0c015f9359c76e7e59a5c16ab469b86aed34 | [
"MIT"
] | 2 | 2021-07-01T14:33:58.000Z | 2022-03-19T19:19:09.000Z | pyunitwizard/tests/test_get_form.py | dprada/pyunitwizard | dbfd0c015f9359c76e7e59a5c16ab469b86aed34 | [
"MIT"
] | 15 | 2021-02-11T18:54:16.000Z | 2022-03-18T17:38:03.000Z | pyunitwizard/tests/test_get_form.py | dprada/pyunitwizard | dbfd0c015f9359c76e7e59a5c16ab469b86aed34 | [
"MIT"
] | 2 | 2021-06-17T18:56:02.000Z | 2022-03-08T05:02:17.000Z | import pytest
import pyunitwizard as puw
def test_string():
puw.configure.reset()
assert puw.get_form('1 meter')=='string'
def test_pint_quantity():
puw.configure.reset()
puw.configure.load_library(['pint'])
ureg = puw.forms.api_pint.ureg
q = ureg.Quantity(1.0,'meter')
assert puw.get_form(... | 24.454545 | 45 | 0.678439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.10223 |
f63545e957985ca6c1cbcde078c84fd5739a594f | 4,393 | py | Python | package/awesome_panel/express/bootstrap/modal.py | slamer59/awesome-panel | 91c30bd6d6859eadf9c65b1e143952f7e64d5290 | [
"Apache-2.0"
] | 179 | 2019-12-04T14:54:53.000Z | 2022-03-30T09:08:38.000Z | package/awesome_panel/express/bootstrap/modal.py | slamer59/awesome-panel | 91c30bd6d6859eadf9c65b1e143952f7e64d5290 | [
"Apache-2.0"
] | 62 | 2019-12-14T16:51:28.000Z | 2022-03-19T18:47:12.000Z | package/awesome_panel/express/bootstrap/modal.py | slamer59/awesome-panel | 91c30bd6d6859eadf9c65b1e143952f7e64d5290 | [
"Apache-2.0"
] | 35 | 2019-12-08T13:19:53.000Z | 2022-03-25T10:33:02.000Z | """In this module we provide the functionality of a Modal.
The Modal can be used to focus some kind of information like text, images, chart or an interactive
dashboard.
The implementation is inspired by
- https://css-tricks.com/considerations-styling-modal/
- https://codepen.io/henchmen/embed/preview/PzQ... | 27.117284 | 99 | 0.572046 | 3,256 | 0.741179 | 0 | 0 | 1,269 | 0.288869 | 0 | 0 | 2,585 | 0.588436 |
f636a313757854652da404412374580257d3fe53 | 5,696 | py | Python | python/paddle/distributed/fleet/meta_optimizers/fp16_allreduce_optimizer.py | zmxdream/Paddle | 04f042a5d507ad98f7f2cfc3cbc44b06d7a7f45c | [
"Apache-2.0"
] | 17,085 | 2016-11-18T06:40:52.000Z | 2022-03-31T22:52:32.000Z | python/paddle/distributed/fleet/meta_optimizers/fp16_allreduce_optimizer.py | zmxdream/Paddle | 04f042a5d507ad98f7f2cfc3cbc44b06d7a7f45c | [
"Apache-2.0"
] | 29,769 | 2016-11-18T06:35:22.000Z | 2022-03-31T16:46:15.000Z | python/paddle/distributed/fleet/meta_optimizers/fp16_allreduce_optimizer.py | zmxdream/Paddle | 04f042a5d507ad98f7f2cfc3cbc44b06d7a7f45c | [
"Apache-2.0"
] | 4,641 | 2016-11-18T07:43:33.000Z | 2022-03-31T15:15:02.000Z | # Copyright (c) 2020 PaddlePaddle 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 app... | 38.228188 | 76 | 0.59849 | 4,994 | 0.876756 | 0 | 0 | 3,435 | 0.603055 | 0 | 0 | 1,309 | 0.22981 |
f636a882b94f8b074d76f3398dd62f93844dc2ba | 245 | py | Python | factory_djoy/__about__.py | jamescooke/factory_djoy | 97cf68a068b831f2830688a91e7b143b97bc1326 | [
"MIT"
] | 26 | 2016-05-27T19:00:34.000Z | 2022-02-14T14:22:20.000Z | factory_djoy/__about__.py | jamescooke/factory_djoy | 97cf68a068b831f2830688a91e7b143b97bc1326 | [
"MIT"
] | 37 | 2016-05-27T18:58:51.000Z | 2021-10-10T11:35:08.000Z | factory_djoy/__about__.py | jamescooke/factory_djoy | 97cf68a068b831f2830688a91e7b143b97bc1326 | [
"MIT"
] | null | null | null | __name__ = 'factory_djoy'
__version__ = '2.2.0'
__author__ = 'James Cooke'
__copyright__ = '2021, {}'.format(__author__)
__description__ = 'Factories for Django, creating valid model instances every time.'
__email__ = 'github@jamescooke.info'
| 27.222222 | 84 | 0.755102 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 134 | 0.546939 |
f6385c22b94a6e2e267dcaa60df50ad19fa4a166 | 3,928 | py | Python | garageofcode/sat/fifteen_puzzle.py | tpi12jwe/garageofcode | 3cfaf01f6d77130bb354887e6ed9921c791db849 | [
"MIT"
] | 2 | 2020-02-11T10:32:06.000Z | 2020-02-11T17:00:47.000Z | garageofcode/sat/fifteen_puzzle.py | tpi12jwe/garageofcode | 3cfaf01f6d77130bb354887e6ed9921c791db849 | [
"MIT"
] | null | null | null | garageofcode/sat/fifteen_puzzle.py | tpi12jwe/garageofcode | 3cfaf01f6d77130bb354887e6ed9921c791db849 | [
"MIT"
] | null | null | null | from collections import defaultdict
from sugarrush.solver import SugarRush
from garageofcode.common.utils import flatten_simple
N = 3
def get_state(solver):
# one-hot encoding
X = [[[solver.var() for _ in range(N**2)]
for _ in range(N)]
for _ in range(N)]
... | 30.6875 | 70 | 0.470468 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 629 | 0.160132 |
f639470dab223c0a61d56c8eec0fdc664b9c6792 | 3,435 | py | Python | normalize.py | Zoomerhimmer/NT-Textual-Toolkit | c7b236972f6dcef45fd0596b06f113c503dda6d2 | [
"MIT"
] | null | null | null | normalize.py | Zoomerhimmer/NT-Textual-Toolkit | c7b236972f6dcef45fd0596b06f113c503dda6d2 | [
"MIT"
] | null | null | null | normalize.py | Zoomerhimmer/NT-Textual-Toolkit | c7b236972f6dcef45fd0596b06f113c503dda6d2 | [
"MIT"
] | null | null | null | import re
import sys
import os
# Lists of same characters
alpha_equiv = ['Α','Ά','ά','ὰ','ά','ἀ','ἁ','ἂ','ἃ','ἄ','ἅ','ἆ','ἇ','Ἀ','Ἁ','Ἂ','Ἃ','Ἄ','Ἅ','Ἆ','Ἇ','ᾶ','Ᾰ','Ᾱ','Ὰ','Ά','ᾰ','ᾱ'] #Converts to α
alpha_subscripted = ['ᾀ','ᾁ','ᾂ','ᾃ','ᾄ','ᾅ','ᾆ','ᾇ','ᾈ','ᾉ','ᾊ','ᾋ','ᾌ','ᾍ','ᾎ','ᾏ','ᾲ','ᾴ','ᾷ','ᾼ','ᾳ'] #Converts to... | 43.481013 | 165 | 0.52198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,844 | 0.466363 |
f63a003b49d1a2ecd8e8f98df7bb4d1aa0a1fd33 | 10,756 | py | Python | tests/test_conveniences.py | CSC-DPR/eopf-cpm | 6af10c0905eec876e8ab884ce62d5b74d52cb5a3 | [
"Apache-2.0"
] | null | null | null | tests/test_conveniences.py | CSC-DPR/eopf-cpm | 6af10c0905eec876e8ab884ce62d5b74d52cb5a3 | [
"Apache-2.0"
] | 171 | 2022-01-29T09:38:27.000Z | 2022-03-30T08:17:35.000Z | tests/test_conveniences.py | CSC-DPR/eopf-cpm | 6af10c0905eec876e8ab884ce62d5b74d52cb5a3 | [
"Apache-2.0"
] | null | null | null | import datetime
import os
import sys
from cmath import inf
from typing import Any
import hypothesis.extra.numpy as xps
import hypothesis.strategies as st
import numpy
import pytest
from hypothesis import assume, given
from eopf.product.utils import (
apply_xpath,
conv,
convert_to_unix_time,
is_date,
... | 37.873239 | 119 | 0.676088 | 0 | 0 | 0 | 0 | 10,338 | 0.961138 | 0 | 0 | 2,487 | 0.23122 |
f63a76556115387c030b8e4755467f5a63c5c6d2 | 1,227 | py | Python | src/controller/src/depth_hold.py | Fzeak/sauvc-2019 | 573dcb351d0f87f9b7605667c570a5003bedb224 | [
"MIT"
] | null | null | null | src/controller/src/depth_hold.py | Fzeak/sauvc-2019 | 573dcb351d0f87f9b7605667c570a5003bedb224 | [
"MIT"
] | null | null | null | src/controller/src/depth_hold.py | Fzeak/sauvc-2019 | 573dcb351d0f87f9b7605667c570a5003bedb224 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from std_msgs.msgs import UInt16, Float32, String
from mavros_msgs.msg import Mavlink
from struct import pack, unpack
def listener():
rospy.init_node('depth_listener', anonymous=True)
pub_pressure = rospy.Publisher("depth_listener/pressure_diff", Float32, queue_size=10)
pub_throt... | 32.289474 | 87 | 0.740831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 393 | 0.320293 |
f63af088aba40e29ad224e5c65268768345c6e09 | 6,354 | py | Python | energy/lopy_serial_external_sd/LoPy4_sd/main.py | niclabs/water-monitoring | d18405e7536c985a400816263e80f73318e304b6 | [
"Apache-2.0"
] | 2 | 2020-05-21T03:47:12.000Z | 2021-02-01T16:48:01.000Z | energy/lopy_serial_external_sd/LoPy4_sd/main.py | niclabs/water-monitoring | d18405e7536c985a400816263e80f73318e304b6 | [
"Apache-2.0"
] | 9 | 2021-03-19T16:09:25.000Z | 2021-05-24T22:55:16.000Z | energy/lopy_serial_external_sd/LoPy4_sd/main.py | niclabs/water-monitoring | d18405e7536c985a400816263e80f73318e304b6 | [
"Apache-2.0"
] | 1 | 2021-01-13T14:45:14.000Z | 2021-01-13T14:45:14.000Z | def get_lorawan_maximum_payload_size(dr):
mac_payload_size_dic = {'0':59, '1':59, '2':59, '3':123, '4':230, '5':230, '6':230}
fhdr_size = 7 #in bytes. Assuming that FOpts length is zero
fport_size = 1 #in bytes
frm_payload_size = mac_payload_size_dic.get(str(dr)) - fhdr_size - fport_size
ret... | 37.597633 | 125 | 0.586245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,885 | 0.296477 |
f63c2ee035cc31867910d8a464ee16f8c9b19ab6 | 741 | py | Python | forms_app/views.py | cs-fullstack-fall-2018/django-forms2-bachmanryan | e0318516f86afe99e991e6796b5e66d8b3e7a728 | [
"Apache-2.0"
] | null | null | null | forms_app/views.py | cs-fullstack-fall-2018/django-forms2-bachmanryan | e0318516f86afe99e991e6796b5e66d8b3e7a728 | [
"Apache-2.0"
] | null | null | null | forms_app/views.py | cs-fullstack-fall-2018/django-forms2-bachmanryan | e0318516f86afe99e991e6796b5e66d8b3e7a728 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render, redirect
from .models import FormModel
from datetime import datetime
def index(request):
form_list = FormModel.objects.all()
context = {'form_list': form_list}
return render(request, 'forms_app/index.html', context)
def post_new(request):
if request.method == "PO... | 28.5 | 59 | 0.626181 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.091768 |
f63c8b35a69bb35bff0b3baecdbc71a71d1a0a8f | 342 | py | Python | figurefirst/__init__.py | clbarnes/figurefirst | ed38e246a96f28530bf663eb6920da1c3ccee610 | [
"MIT"
] | 1 | 2020-05-07T01:17:51.000Z | 2020-05-07T01:17:51.000Z | figurefirst/__init__.py | clbarnes/figurefirst | ed38e246a96f28530bf663eb6920da1c3ccee610 | [
"MIT"
] | 1 | 2020-05-07T01:25:27.000Z | 2020-05-28T08:10:19.000Z | figurefirst/__init__.py | clbarnes/figurefirst | ed38e246a96f28530bf663eb6920da1c3ccee610 | [
"MIT"
] | null | null | null | from . import svg_to_axes
#reload(svg_to_axes)
from . import mpl_functions
from .svg_to_axes import FigureLayout
from . import mpl_fig_to_figurefirst_svg
from . import svg_util
from . import deprecated_regenerate
import sys
if sys.version_info[0] > 2: # regenerate uses importlib.utils, which requires python 3?
fro... | 28.5 | 87 | 0.804094 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.230994 |
f63eceb66bf981ddf69e6d539baa4da5ebac9226 | 3,152 | py | Python | dedsecuritybot.py | dedsecurity/DedSecuritySearch | 294e2e1ed9254499fecc3db7b419f283027361fa | [
"MIT"
] | null | null | null | dedsecuritybot.py | dedsecurity/DedSecuritySearch | 294e2e1ed9254499fecc3db7b419f283027361fa | [
"MIT"
] | null | null | null | dedsecuritybot.py | dedsecurity/DedSecuritySearch | 294e2e1ed9254499fecc3db7b419f283027361fa | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import pandas as pd
import json
import nltk
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.layers import Input, Embedding, LSTM , Dense,GlobalMaxPooling1D,Flatten
from tensorflow.keras.preprocessing.s... | 30.901961 | 114 | 0.745876 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 399 | 0.126586 |
f641186c18365ae96c79dd45058d2e7e2b96430d | 5,069 | py | Python | tests/html/inline_builder_test.py | a-pompom/Python-markdownParser | 2525ba9c25dc3f77fb70af4ba9af423114940077 | [
"MIT"
] | null | null | null | tests/html/inline_builder_test.py | a-pompom/Python-markdownParser | 2525ba9c25dc3f77fb70af4ba9af423114940077 | [
"MIT"
] | 29 | 2021-07-25T02:06:16.000Z | 2022-03-20T10:55:16.000Z | tests/html/inline_builder_test.py | a-pompom/Python-markdownParser | 2525ba9c25dc3f77fb70af4ba9af423114940077 | [
"MIT"
] | null | null | null | import pytest
from app.html.inline_builder import InlineBuilder, LinkBuilder, CodeBuilder, ImageBuilder
from app.markdown.inline_parser import InlineParser, LinkParser, CodeParser, ImageParser
from app.settings import setting
class TestInlineBuilder:
""" Inline要素からHTML文字列が得られるか検証 """
# HTML組み立て
@pytest.... | 29.300578 | 102 | 0.50582 | 5,126 | 0.955452 | 0 | 0 | 4,488 | 0.836533 | 0 | 0 | 1,944 | 0.362349 |
f6414d22c3496a2fc287bc2eb9d1d63bb35b880e | 5,728 | py | Python | lab8/src/main.py | YaelBenShalom/Intro-to-AI | 37df1fc9316544338b8acfa5264316c4d5ce5915 | [
"MIT"
] | null | null | null | lab8/src/main.py | YaelBenShalom/Intro-to-AI | 37df1fc9316544338b8acfa5264316c4d5ce5915 | [
"MIT"
] | null | null | null | lab8/src/main.py | YaelBenShalom/Intro-to-AI | 37df1fc9316544338b8acfa5264316c4d5ce5915 | [
"MIT"
] | null | null | null | import common
import student_code
import array
class bcolors:
RED = "\x1b[31m"
GREEN = "\x1b[32m"
NORMAL = "\x1b[0m"
def read_data(training_data, test_data1, gold_data1, filename):
data = array.array('f')
test = array.array('f')
with open(filename, 'rb') as fd:
data.... | 36.025157 | 86 | 0.622905 | 84 | 0.014665 | 0 | 0 | 0 | 0 | 0 | 0 | 848 | 0.148045 |
f64190e807ca83a7c40b302396ec9aa0416a19ee | 7,670 | py | Python | webapp/api/Model/basic.py | SCcagg5/My_Youtube | 6234b655ceb18a85d9bdd2c5837ce625c495d07b | [
"MIT"
] | 3 | 2020-05-16T19:24:42.000Z | 2020-09-26T17:05:19.000Z | webapp/api/Model/basic.py | SCcagg5/My_Youtube | 6234b655ceb18a85d9bdd2c5837ce625c495d07b | [
"MIT"
] | 30 | 2020-05-16T16:01:17.000Z | 2020-10-08T23:05:08.000Z | webapp/api/Model/basic.py | SCcagg5/My_Youtube | 6234b655ceb18a85d9bdd2c5837ce625c495d07b | [
"MIT"
] | null | null | null | from bottle import request, response, HTTPResponse
import os, datetime, re
import json as JSON
import jwt
class auth:
def gettoken(mypass):
secret = str(os.getenv('API_SCRT', '!@ws4RT4ws212@#%'))
password = str(os.getenv('API_PASS', 'password'))
if mypass == password:
... | 32.638298 | 104 | 0.484876 | 7,541 | 0.983181 | 0 | 0 | 0 | 0 | 0 | 0 | 899 | 0.11721 |
f6429da6a835c587318716d02c57de897093290c | 304 | py | Python | data_sniffer/urls.py | thefedoration/django-data-sniffer | c691dbf42e69d6190ab8fb4fe3bfc3cb646716f3 | [
"MIT"
] | null | null | null | data_sniffer/urls.py | thefedoration/django-data-sniffer | c691dbf42e69d6190ab8fb4fe3bfc3cb646716f3 | [
"MIT"
] | null | null | null | data_sniffer/urls.py | thefedoration/django-data-sniffer | c691dbf42e69d6190ab8fb4fe3bfc3cb646716f3 | [
"MIT"
] | null | null | null | from django.conf.urls import include, url
from django.conf import settings
from .views import data_sniffer_health_check
if settings.DATA_SNIFFER_ENABLED:
urlpatterns = [
url(r'^(?P<key>[-\w]+)', data_sniffer_health_check, name="data_sniffer_health_check"),
]
else:
urlpatterns = []
| 25.333333 | 94 | 0.726974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.151316 |
f642c7514997e4f67f9ec1097b2c4722eab6d372 | 2,430 | py | Python | crtauth/client.py | spotify/crtauth | 5df8960f81f0c3a7ae3119b59221390707749cac | [
"Apache-2.0"
] | 90 | 2015-01-30T16:19:38.000Z | 2022-03-26T17:53:03.000Z | crtauth/client.py | spotify/crtauth | 5df8960f81f0c3a7ae3119b59221390707749cac | [
"Apache-2.0"
] | 14 | 2015-04-23T08:08:00.000Z | 2020-09-29T12:15:04.000Z | crtauth/client.py | spotify/crtauth | 5df8960f81f0c3a7ae3119b59221390707749cac | [
"Apache-2.0"
] | 20 | 2015-01-25T07:02:18.000Z | 2022-03-19T10:23:21.000Z | # Copyright (c) 2011-2017 Spotify AB
#
# 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 w... | 33.75 | 78 | 0.702058 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,015 | 0.417695 |
f643843dc611bf1e9914238b418113f9bed6e4cd | 836 | py | Python | editor/api/terminal/endpoints/terminal.py | dporr/skf-editor | 51b660d1356f283629a7f9e9121fa948830b5579 | [
"MIT"
] | 3 | 2021-08-23T16:32:21.000Z | 2021-09-04T02:40:59.000Z | editor/api/terminal/endpoints/terminal.py | dporr/skf-editor | 51b660d1356f283629a7f9e9121fa948830b5579 | [
"MIT"
] | null | null | null | editor/api/terminal/endpoints/terminal.py | dporr/skf-editor | 51b660d1356f283629a7f9e9121fa948830b5579 | [
"MIT"
] | 1 | 2021-07-08T13:40:01.000Z | 2021-07-08T13:40:01.000Z | from flask import request
from flask_restplus import Resource
from editor.api.terminal.business import get_terminal_output
from editor.api.terminal.serializers import terminal_response, terminal_cmd
from editor.api.restplus import api
ns = api.namespace('terminal', description='Operations related to terminal')
@ns.ro... | 34.833333 | 76 | 0.720096 | 419 | 0.501196 | 0 | 0 | 522 | 0.624402 | 0 | 0 | 195 | 0.233254 |
f64680efdbc765125c942cd42b9be9b6e892d55e | 400 | py | Python | mediumwave/migrations/0011_transmitter_iso.py | soundelec/mwradio | b1a7f6d8c24469c13c5336e292cc316980fdea2d | [
"BSD-3-Clause"
] | null | null | null | mediumwave/migrations/0011_transmitter_iso.py | soundelec/mwradio | b1a7f6d8c24469c13c5336e292cc316980fdea2d | [
"BSD-3-Clause"
] | null | null | null | mediumwave/migrations/0011_transmitter_iso.py | soundelec/mwradio | b1a7f6d8c24469c13c5336e292cc316980fdea2d | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 2.1.2 on 2018-10-19 14:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mediumwave', '0010_auto_20181017_1937'),
]
operations = [
migrations.AddField(
model_name='transmitter',
name='iso',... | 21.052632 | 61 | 0.605 | 307 | 0.7675 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.255 |
f647836ba9f9d26035e89229613150a256f9838c | 953 | py | Python | 3_MapReduce Programming on MovieLens Data/solution/MapReduce/code/userReducer.py | minakoyang/YY_Distributed_Cluster_Computing | 0284569e4a6d0312590acf9ead5cf23bbcd167c9 | [
"MIT"
] | null | null | null | 3_MapReduce Programming on MovieLens Data/solution/MapReduce/code/userReducer.py | minakoyang/YY_Distributed_Cluster_Computing | 0284569e4a6d0312590acf9ead5cf23bbcd167c9 | [
"MIT"
] | null | null | null | 3_MapReduce Programming on MovieLens Data/solution/MapReduce/code/userReducer.py | minakoyang/YY_Distributed_Cluster_Computing | 0284569e4a6d0312590acf9ead5cf23bbcd167c9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import sys
import csv
import json
mostRatingUser = None
mostRatingCount = 0
mostRatingInfo = None
for line in sys.stdin:
line = line.strip()
user, genreString = line.split("\t", 1)
genreInfo = json.loads(genreString)
if not mostRatingUser or len(genreInfo) > mostRatingCount:
... | 25.078947 | 135 | 0.672613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.114376 |
f64788dcdb43c2e6980587df505c8707237a9135 | 2,901 | py | Python | src/MockingBirdOnlyForUse/logger.py | Diaosi1111/MockingBirdOnlyForUse | 243092621eff36c13418e2648b3909bed6b1ae2d | [
"MIT"
] | null | null | null | src/MockingBirdOnlyForUse/logger.py | Diaosi1111/MockingBirdOnlyForUse | 243092621eff36c13418e2648b3909bed6b1ae2d | [
"MIT"
] | null | null | null | src/MockingBirdOnlyForUse/logger.py | Diaosi1111/MockingBirdOnlyForUse | 243092621eff36c13418e2648b3909bed6b1ae2d | [
"MIT"
] | null | null | null | import logging
import os
import sys
import time
LOG_LEVEL = logging.INFO
OPEN_CONSOLE_LOG = True
OPEN_FILE_LOG = False
LOG_FILE_PATH = None
LOG_NAME = "null"
###############################################################################################################
# 初始化日志
def _create_logger(
level=LOG_LE... | 25.226087 | 111 | 0.541537 | 1,582 | 0.543456 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.091721 |
f647a1e251a956e51f190c8dadc2f437ea0fcb0e | 2,083 | py | Python | tools/GetImages.py | vicyangworld/WaterDispenserEye | 6b2191f99d85dfe89dc9ec4161959e8f908dd16f | [
"MIT"
] | null | null | null | tools/GetImages.py | vicyangworld/WaterDispenserEye | 6b2191f99d85dfe89dc9ec4161959e8f908dd16f | [
"MIT"
] | null | null | null | tools/GetImages.py | vicyangworld/WaterDispenserEye | 6b2191f99d85dfe89dc9ec4161959e8f908dd16f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import cv2
import sys
import os
# 定义旋转rotate函数
def rotate(image, angle, center=None, scale=1.0):
# 获取图像尺寸
(h, w) = image.shape[:2]
print(image.shape)
# 若未指定旋转中心，则将图像中心设为旋转中心
if center is None:
center = (w / 2, h / 2)
# 执行旋转
M = cv2.getRotationMatrix2D(cen... | 27.051948 | 118 | 0.670667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 625 | 0.276426 |
f6483079842b52a30927c51d2b4ba1bbe9984614 | 503 | py | Python | tests/test_padondehoy.py | kengru/Giru | 93f1b8dc6db35109a58a350218f7a69dcf2e788d | [
"MIT"
] | 3 | 2018-05-29T16:44:14.000Z | 2021-01-13T12:46:05.000Z | tests/test_padondehoy.py | kengru/Giru | 93f1b8dc6db35109a58a350218f7a69dcf2e788d | [
"MIT"
] | 52 | 2018-05-29T17:07:03.000Z | 2021-09-01T18:33:17.000Z | tests/test_padondehoy.py | kengru/Giru | 93f1b8dc6db35109a58a350218f7a69dcf2e788d | [
"MIT"
] | 2 | 2018-06-02T22:06:16.000Z | 2018-06-03T19:01:31.000Z | from unittest import TestCase
from giru.core.commands import PaDondeHoy
from tests.mocks import MockBot, MockUpdate
class TestPaDondeHoy(TestCase):
def test_catalogue_response_same_chat_same_day(self):
bot = MockBot()
update = MockUpdate()
PaDondeHoy(bot, update)
response_1 = bot... | 26.473684 | 61 | 0.723658 | 383 | 0.761431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f649717f99a11da8f0544eda17de8a09d6562732 | 2,395 | py | Python | ircConnection.py | mutexlox/NO-FIFTH-GLYPH | 4acb5b8e584093ae7faa9f03c86c0e8d686df8f9 | [
"MIT"
] | 1 | 2019-04-16T10:59:38.000Z | 2019-04-16T10:59:38.000Z | ircConnection.py | mutexlox/NO-FIFTH-GLYPH | 4acb5b8e584093ae7faa9f03c86c0e8d686df8f9 | [
"MIT"
] | null | null | null | ircConnection.py | mutexlox/NO-FIFTH-GLYPH | 4acb5b8e584093ae7faa9f03c86c0e8d686df8f9 | [
"MIT"
] | null | null | null | import socket
import select
import config
class IRCConnection:
def __init__(self, serverName, port=6667):
self.connection = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.connection.connect((serverName, port))
self.connection.setblocking(0)
def sendMessage(self, toSend):
... | 31.103896 | 79 | 0.548643 | 2,350 | 0.981211 | 0 | 0 | 0 | 0 | 0 | 0 | 622 | 0.259708 |
f64a19aff3d9a4d44aac824d38c6aaef4eeb9f77 | 99 | py | Python | lesson-08/test_m.py | rafaelmartinsbuck/ai-for-trading | 51234e408c94ccdeee9b06301a2f63bd170243e3 | [
"MIT"
] | 1 | 2020-05-15T09:41:14.000Z | 2020-05-15T09:41:14.000Z | lesson-08/test_m.py | rafaelmartinsbuck/ai-for-trading | 51234e408c94ccdeee9b06301a2f63bd170243e3 | [
"MIT"
] | null | null | null | lesson-08/test_m.py | rafaelmartinsbuck/ai-for-trading | 51234e408c94ccdeee9b06301a2f63bd170243e3 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
df = pd.DataFrame({"A":[1,2,3,4], "B":[5,6,7,8]})
print(df) | 19.8 | 49 | 0.616162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.060606 |
f64b72c278e266e29f2b5f8013262577a44a9069 | 1,314 | py | Python | services/swimmer_service.py | Design-Patterns-Project-Group/swimming-mangement-in-python | c0acd0efb5f5536d7890801eed3a7bf995744bde | [
"MIT"
] | null | null | null | services/swimmer_service.py | Design-Patterns-Project-Group/swimming-mangement-in-python | c0acd0efb5f5536d7890801eed3a7bf995744bde | [
"MIT"
] | null | null | null | services/swimmer_service.py | Design-Patterns-Project-Group/swimming-mangement-in-python | c0acd0efb5f5536d7890801eed3a7bf995744bde | [
"MIT"
] | null | null | null | import sys, os.path
sys.path.append(os.path.abspath('..'))
from models import *
from . import AbstractSwimmerService
class SwimmerService(AbstractSwimmerService):
def __init__(self):
# assume this is a database
self._data_store = [
{
'swimmer_id': 1,
'... | 26.28 | 100 | 0.444444 | 1,188 | 0.90411 | 0 | 0 | 0 | 0 | 0 | 0 | 338 | 0.25723 |