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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fc27b29cfbfd1ea2e06f38bfeb18691ed058b5af | 5,579 | py | Python | scripts/venv/lib/python2.7/site-packages/cogent/maths/function_optimisation.py | sauloal/cnidaria | fe6f8c8dfed86d39c80f2804a753c05bb2e485b4 | [
"MIT"
] | 3 | 2015-11-20T08:44:42.000Z | 2016-12-14T01:40:03.000Z | scripts/venv/lib/python2.7/site-packages/cogent/maths/function_optimisation.py | sauloal/cnidaria | fe6f8c8dfed86d39c80f2804a753c05bb2e485b4 | [
"MIT"
] | 1 | 2017-09-04T14:04:32.000Z | 2020-05-26T19:04:00.000Z | scripts/venv/lib/python2.7/site-packages/cogent/maths/function_optimisation.py | sauloal/cnidaria | fe6f8c8dfed86d39c80f2804a753c05bb2e485b4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Algorthims for function optimisation
great_deluge() is a hillclimbing algorithm based on:
Gunter Dueck: New Optimization Heuristics, The Great Deluge Algorithm
and the Record-to-Record Travel. Journal of Computational Physics, Vol.
104, 1993, pp. 86 - 92
ga_evolve(... | 42.915385 | 80 | 0.661767 | 0 | 0 | 3,977 | 0.712852 | 0 | 0 | 0 | 0 | 3,602 | 0.645635 |
fc2801c140aa271fa4c9a495e831e1f55bb54ab3 | 6,871 | py | Python | collect_policies.py | jonathanbglass/parallel_prowler | 453774a69f078c7fce11c9bb72b6deab6fc04217 | [
"MIT"
] | 3 | 2021-04-09T12:37:13.000Z | 2021-10-18T19:41:39.000Z | collect_policies.py | jonathanbglass/parallel_prowler | 453774a69f078c7fce11c9bb72b6deab6fc04217 | [
"MIT"
] | 5 | 2019-04-30T13:08:43.000Z | 2019-04-30T13:21:25.000Z | collect_policies.py | jonathanbglass/parallel_prowler | 453774a69f078c7fce11c9bb72b6deab6fc04217 | [
"MIT"
] | null | null | null | import argparse
import boto3
import json
import logging
import os
from progressbar import ProgressBar
import sys
"""
Collects IAM Policies
Evaluates policies looking for badness (*.*, Effect:Allow + NotAction)
Need to add more tests/use cases
"""
def get_policies(profile):
session = boto3.session.Session(profi... | 33.193237 | 79 | 0.536603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,410 | 0.35075 |
fc2ae536bffe1db19ce9b95cd5dd88a0d55394cd | 3,556 | py | Python | test/molecule-role/molecule/integrations/tests/test_nagios.py | StackVista/stackstate-agent | 843f66189fae107646c57f71fed962bdaab3b3be | [
"Apache-2.0"
] | 2 | 2018-11-12T22:00:56.000Z | 2019-11-07T22:14:23.000Z | test/molecule-role/molecule/integrations/tests/test_nagios.py | StackVista/stackstate-agent | 843f66189fae107646c57f71fed962bdaab3b3be | [
"Apache-2.0"
] | 49 | 2018-10-02T18:14:58.000Z | 2022-01-20T21:06:31.000Z | test/molecule-role/molecule/integrations/tests/test_nagios.py | StackVista/stackstate-agent | 843f66189fae107646c57f71fed962bdaab3b3be | [
"Apache-2.0"
] | 3 | 2019-05-10T13:06:59.000Z | 2020-05-21T17:29:33.000Z | import json
import os
import re
from testinfra.utils.ansible_runner import AnsibleRunner
import util
testinfra_hosts = AnsibleRunner(os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('agent-integrations')
def _get_key_value(tag_list):
for key, value in (pair.split(':', 1) for pair in tag_list):
yield ke... | 39.955056 | 119 | 0.604331 | 0 | 0 | 119 | 0.033465 | 0 | 0 | 0 | 0 | 1,193 | 0.335489 |
fc2b9cb9eed0c84da94b5402d4ee3d9ce1910b43 | 589 | py | Python | erudition/util.py | papsebestyen/erudition | 35aa502a96189131baff714a6212eb56de2b1272 | [
"MIT"
] | null | null | null | erudition/util.py | papsebestyen/erudition | 35aa502a96189131baff714a6212eb56de2b1272 | [
"MIT"
] | null | null | null | erudition/util.py | papsebestyen/erudition | 35aa502a96189131baff714a6212eb56de2b1272 | [
"MIT"
] | 1 | 2022-02-21T21:17:17.000Z | 2022-02-21T21:17:17.000Z | import os
import sys
from contextlib import contextmanager
from invoke import UnexpectedExit
def git_commit(c, addstr, msg):
try:
c.run("git config --get user.email")
c.run("git config --get user.name")
except UnexpectedExit:
c.run('git config --local user.email "[email protected]"')
... | 22.653846 | 58 | 0.634975 | 0 | 0 | 148 | 0.251273 | 164 | 0.278438 | 0 | 0 | 182 | 0.308998 |
fc2d6707aecf302c38a120bd486580b956d4c75c | 1,263 | py | Python | python3/distortion_correct_aksk_demo.py | MeekoI/ais-sdk | 76240abc49795e914988f3cafb6d08f60dbdcb4c | [
"Apache-2.0"
] | null | null | null | python3/distortion_correct_aksk_demo.py | MeekoI/ais-sdk | 76240abc49795e914988f3cafb6d08f60dbdcb4c | [
"Apache-2.0"
] | null | null | null | python3/distortion_correct_aksk_demo.py | MeekoI/ais-sdk | 76240abc49795e914988f3cafb6d08f60dbdcb4c | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
from ais_sdk.utils import encode_to_base64
from ais_sdk.utils import decode_to_wave_file
from ais_sdk.distortion_correct import distortion_correct_aksk
from ais_sdk.utils import init_global_env
import json
if __name__ == '__main__':
#
# access moderation distortion correct.post data by a... | 39.46875 | 119 | 0.695962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 479 | 0.379256 |
fc2e07191680875cf76ef21ec4089df4cb779bed | 527 | py | Python | exercise/migrations/0016_auto_20191025_1624.py | Arpit8081/Phishtray_Edited_Version | 9f3342e6fd2620b7f01ad91ce5b36fa8ea111bc8 | [
"MIT"
] | 2 | 2020-03-31T12:38:10.000Z | 2022-01-21T22:21:06.000Z | exercise/migrations/0016_auto_20191025_1624.py | Arpit8081/Phishtray_Edited_Version | 9f3342e6fd2620b7f01ad91ce5b36fa8ea111bc8 | [
"MIT"
] | 252 | 2018-05-24T14:55:24.000Z | 2022-02-26T13:02:10.000Z | exercise/migrations/0016_auto_20191025_1624.py | Arpit8081/Phishtray_Edited_Version | 9f3342e6fd2620b7f01ad91ce5b36fa8ea111bc8 | [
"MIT"
] | 11 | 2018-06-23T14:54:42.000Z | 2021-02-19T11:33:44.000Z | # Generated by Django 2.2.6 on 2019-10-25 16:24
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('exercise', '0015_exerciseemailproperties_date_received'),
]
operations = [
migrations.AlterField(
... | 26.35 | 131 | 0.666034 | 401 | 0.760911 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.271347 |
fc2e16e55954bef33913f1502bf7278f77489ed4 | 3,504 | py | Python | release/stubs.min/Autodesk/Revit/DB/__init___parts/GeomCombinationSet.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Autodesk/Revit/DB/__init___parts/GeomCombinationSet.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Autodesk/Revit/DB/__init___parts/GeomCombinationSet.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | class GeomCombinationSet(APIObject, IDisposable, IEnumerable):
"""
A set that contains GeomCombination objects.
GeomCombinationSet()
"""
def Clear(self):
"""
Clear(self: GeomCombinationSet)
Removes every item GeomCombination the set,rendering it empty.
"""
pass
... | 22.901961 | 221 | 0.62871 | 3,502 | 0.999429 | 0 | 0 | 0 | 0 | 0 | 0 | 2,428 | 0.692922 |
fc2e4f714b9faba2c5ecf66e26fac9c7e7da6366 | 1,527 | py | Python | rainbow/datasources/cfn_datasource.py | omribahumi/rainbow | 17aad61231b1f1b9d0dca43979e2fa4c8a1603f3 | [
"BSD-2-Clause-FreeBSD"
] | 35 | 2015-01-04T15:23:49.000Z | 2020-11-24T16:10:33.000Z | rainbow/datasources/cfn_datasource.py | omribahumi/rainbow | 17aad61231b1f1b9d0dca43979e2fa4c8a1603f3 | [
"BSD-2-Clause-FreeBSD"
] | 10 | 2015-01-20T07:45:41.000Z | 2015-06-23T15:03:42.000Z | rainbow/datasources/cfn_datasource.py | omribahumi/rainbow | 17aad61231b1f1b9d0dca43979e2fa4c8a1603f3 | [
"BSD-2-Clause-FreeBSD"
] | 17 | 2015-01-04T14:20:31.000Z | 2020-11-24T16:10:36.000Z | from rainbow.cloudformation import Cloudformation
from base import DataSourceBase
__all__ = ['CfnOutputsDataSource', 'CfnResourcesDataSource', 'CfnParametersDataSource']
class CfnDataSourceBase(DataSourceBase):
def __init__(self, data_source):
super(CfnDataSourceBase, self).__init__(data_source)
... | 30.54 | 108 | 0.717092 | 1,335 | 0.874263 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.091683 |
fc2e789c677ad0b86e4fb3d988a64d970401e0fa | 401 | py | Python | epio_commands/management/commands/epio_flush_redis.py | idan/pypostbin | 61dd1c0960e8fb6e4460a5623971cbbc78a55ee7 | [
"BSD-3-Clause"
] | 2 | 2015-11-05T08:51:42.000Z | 2016-03-01T22:13:25.000Z | epio_commands/management/commands/epio_flush_redis.py | idan/pypostbin | 61dd1c0960e8fb6e4460a5623971cbbc78a55ee7 | [
"BSD-3-Clause"
] | null | null | null | epio_commands/management/commands/epio_flush_redis.py | idan/pypostbin | 61dd1c0960e8fb6e4460a5623971cbbc78a55ee7 | [
"BSD-3-Clause"
] | null | null | null | import redis
from bundle_config import config
from django.core.management.base import NoArgsCommand
class Command(NoArgsCommand):
help = 'Flushes all keys in redis.'
def handle_noargs(self, **options):
r = redis.Redis(host=config['redis']['host'], port=int(config['redis']['port']), password=config['r... | 30.846154 | 126 | 0.688279 | 298 | 0.743142 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.239401 |
fc2e92525a1caaa4ddf0a3ef664b415296525d97 | 2,338 | py | Python | python/flexflow_cffi_build.py | zmxdream/FlexFlow | 7ea50d71a02e853af7ae573d88c911511b3e82e0 | [
"Apache-2.0"
] | 455 | 2018-12-09T01:57:46.000Z | 2022-03-22T01:56:47.000Z | python/flexflow_cffi_build.py | zmxdream/FlexFlow | 7ea50d71a02e853af7ae573d88c911511b3e82e0 | [
"Apache-2.0"
] | 136 | 2019-04-19T08:24:27.000Z | 2022-03-28T01:39:19.000Z | python/flexflow_cffi_build.py | zmxdream/FlexFlow | 7ea50d71a02e853af7ae573d88c911511b3e82e0 | [
"Apache-2.0"
] | 102 | 2018-12-22T07:38:05.000Z | 2022-03-30T06:04:39.000Z | #!/usr/bin/env python
# Copyright 2020 Stanford University, Los Alamos National Laboratory
#
# 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
... | 38.327869 | 116 | 0.727545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 868 | 0.371257 |
fc2eebcbe5bb3cf4ff6427b453a41d0127cdd332 | 1,414 | py | Python | gaphor/plugins/xmiexport/__init__.py | tuxcell/gaphor | 22eb13479f589a0105ad25a11aed968e9ad932dc | [
"Apache-2.0"
] | null | null | null | gaphor/plugins/xmiexport/__init__.py | tuxcell/gaphor | 22eb13479f589a0105ad25a11aed968e9ad932dc | [
"Apache-2.0"
] | null | null | null | gaphor/plugins/xmiexport/__init__.py | tuxcell/gaphor | 22eb13479f589a0105ad25a11aed968e9ad932dc | [
"Apache-2.0"
] | null | null | null | """This plugin extends Gaphor with XMI export functionality."""
import logging
from gaphor.abc import ActionProvider, Service
from gaphor.core import action, gettext
from gaphor.plugins.xmiexport import exportmodel
from gaphor.ui.filedialog import FileDialog
logger = logging.getLogger(__name__)
class XMIExport(Ser... | 32.883721 | 83 | 0.666195 | 1,112 | 0.786421 | 0 | 0 | 833 | 0.589109 | 0 | 0 | 293 | 0.207214 |
fc2f49e15f4138f716bca2a01da611b02c245377 | 2,278 | py | Python | tests/utils.py | btk15049/online-judge-tools | 22505e98359c50df06e7cc1d53a7d253cb096b14 | [
"MIT"
] | null | null | null | tests/utils.py | btk15049/online-judge-tools | 22505e98359c50df06e7cc1d53a7d253cb096b14 | [
"MIT"
] | null | null | null | tests/utils.py | btk15049/online-judge-tools | 22505e98359c50df06e7cc1d53a7d253cb096b14 | [
"MIT"
] | null | null | null | import contextlib
import os
import pathlib
import subprocess
import sys
import tempfile
@contextlib.contextmanager
def chdir(path):
cwd = os.getcwd()
try:
os.chdir(path)
yield
finally:
os.chdir(cwd)
def prepare_files(files):
for f in files:
path = pathlib.Path(f['path... | 24.76087 | 108 | 0.618086 | 0 | 0 | 277 | 0.121598 | 331 | 0.145303 | 0 | 0 | 423 | 0.185689 |
fc2f8d6fdf5321bc7fa432fe83690f0311e43ce9 | 303 | py | Python | git_operation.py | zerzerzerz/Computer-Virus | 4a3125b45e0e4210fb1b8c970a0d6c6bde77f2e8 | [
"MIT"
] | null | null | null | git_operation.py | zerzerzerz/Computer-Virus | 4a3125b45e0e4210fb1b8c970a0d6c6bde77f2e8 | [
"MIT"
] | null | null | null | git_operation.py | zerzerzerz/Computer-Virus | 4a3125b45e0e4210fb1b8c970a0d6c6bde77f2e8 | [
"MIT"
] | null | null | null | import os
commit_string = "选择data的前多少个维度参与训练"
not_add = ['results', 'data', 'weights']
for item in os.listdir():
if item in not_add:
# print(item)
continue
else:
os.system(f"git add {item}")
os.system(f'git commit -m "{commit_string}"')
os.system("git push origin main") | 25.25 | 45 | 0.636964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 0.471125 |
fc3035214a995b5b1335519d9f36c232352adce4 | 6,523 | py | Python | src/cool_grammar.py | peanut-butter-jellyyy/cool-compiler-2021 | 63a668d435ed22cfb8dbb096bc3c82a34f09517b | [
"MIT"
] | null | null | null | src/cool_grammar.py | peanut-butter-jellyyy/cool-compiler-2021 | 63a668d435ed22cfb8dbb096bc3c82a34f09517b | [
"MIT"
] | null | null | null | src/cool_grammar.py | peanut-butter-jellyyy/cool-compiler-2021 | 63a668d435ed22cfb8dbb096bc3c82a34f09517b | [
"MIT"
] | null | null | null | from src.cmp.pycompiler import Grammar
from src.ast_nodes import (
ProgramNode,
ClassDeclarationNode,
FuncDeclarationNode,
AttrDeclarationNode,
IfNode,
WhileNode,
LetNode,
CaseNode,
IsvoidNode,
AssignNode,
VarDeclarationNode,
CaseItemNode,
NotNode,
... | 36.038674 | 87 | 0.559099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 448 | 0.06868 |
fc30849700e1ea4826d82e5040dc0a3f7cab1d33 | 1,599 | py | Python | userbot/plugins/selfdestruct.py | Aliensuniquebot/CatUserbot | 93561a620fc1198c6fe6c259412088f4bc81d97b | [
"MIT"
] | 1 | 2020-07-18T07:42:58.000Z | 2020-07-18T07:42:58.000Z | userbot/plugins/selfdestruct.py | praveen368/CatUserbot | 4b0cd970551ffaf86b9fdd5da584c1b3882821ff | [
"MIT"
] | null | null | null | userbot/plugins/selfdestruct.py | praveen368/CatUserbot | 4b0cd970551ffaf86b9fdd5da584c1b3882821ff | [
"MIT"
] | 2 | 2020-06-25T11:14:50.000Z | 2021-04-04T13:49:13.000Z | # For @UniBorg
# courtesy Yasir siddiqui
"""Self Destruct Plugin
.sd <time in seconds> <text>
"""
import time
from userbot import CMD_HELP
from telethon.errors import rpcbaseerrors
from userbot.utils import admin_cmd
import importlib.util
@borg.on(admin_cmd(pattern="sdm", outgoing=True))
async def selfdestruct(des... | 28.052632 | 90 | 0.602251 | 0 | 0 | 0 | 0 | 1,070 | 0.669168 | 966 | 0.604128 | 402 | 0.251407 |
fc311bab55ecedbbd72f07232e73e6cac438a6b2 | 1,101 | py | Python | snippets/basic_render_template_class.py | OSAMAMOHAMED1234/python_projects | fb4bc7356847c3f46df690a9386cf970377a6f7c | [
"MIT"
] | null | null | null | snippets/basic_render_template_class.py | OSAMAMOHAMED1234/python_projects | fb4bc7356847c3f46df690a9386cf970377a6f7c | [
"MIT"
] | null | null | null | snippets/basic_render_template_class.py | OSAMAMOHAMED1234/python_projects | fb4bc7356847c3f46df690a9386cf970377a6f7c | [
"MIT"
] | null | null | null | import os
class Template:
template_name = ''
context = None
def __init__(self, template_name='', context=None, *args, **kwargs):
self.template_name = template_name
self.context = context
def get_template(self):
template_path = os.path.join(os.path.join(os.path.dirname(os.path.abspath(__file__)), '... | 30.583333 | 123 | 0.693006 | 852 | 0.773842 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.108992 |
fc3188873ff10721356aeaf7e965132781c78f98 | 793 | py | Python | level_one/strings.py | jameskzhao/python36 | 855e8a6e164065702efa7773da1f089454fdcbcc | [
"Apache-2.0"
] | null | null | null | level_one/strings.py | jameskzhao/python36 | 855e8a6e164065702efa7773da1f089454fdcbcc | [
"Apache-2.0"
] | null | null | null | level_one/strings.py | jameskzhao/python36 | 855e8a6e164065702efa7773da1f089454fdcbcc | [
"Apache-2.0"
] | null | null | null | #Basics
a = "hello"
a += " I'm a dog"
print(a)
print(len(a))
print(a[1:]) #Output: ello I'm a dog
print(a[:5]) #Output: hello(index 5 is not included)
print(a[2:5])#Output: llo(index 2 is included)
print(a[::2])#Step size
#string is immutable so you can't assign a[1]= b
x = a.upper()
print(x)
x = a.capitalize()
prin... | 22.027778 | 63 | 0.631778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.557377 |
fc321e4d24702ee71bce5b7e534a97061ead9698 | 2,950 | py | Python | tests/test_01_accept_time_get_headers.py | glushkovvv/test_2gis | 2affff49411a3c7ff77e9d399ec86eb314aa3757 | [
"MIT"
] | null | null | null | tests/test_01_accept_time_get_headers.py | glushkovvv/test_2gis | 2affff49411a3c7ff77e9d399ec86eb314aa3757 | [
"MIT"
] | 1 | 2020-08-05T06:27:23.000Z | 2020-08-05T06:27:42.000Z | tests/test_01_accept_time_get_headers.py | glushkovvv/test_2gis | 2affff49411a3c7ff77e9d399ec86eb314aa3757 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
test_01_accept_time_get_headers
~~~~~~~~~~~~~~
The 2GIS API Test
Check time get headers
:author: Vadim Glushkov
:copyright: Copyright 2019, The2GIS API Test"
:license: MIT
:version: 1.0.0
:maintainer: Vadim Glushkov
:email: [email protected]
:status: Development
"""
import pytest
import a... | 38.815789 | 116 | 0.649831 | 0 | 0 | 0 | 0 | 3,050 | 0.889991 | 0 | 0 | 2,186 | 0.637876 |
fc3233cb1459781c899740baf647a5f25ec92581 | 541 | py | Python | transformers/string/strlen_transformer.py | ucds-sg/h2oai | 7042860767dc25d1a7d7122103bbd5016d02df53 | [
"Apache-2.0"
] | null | null | null | transformers/string/strlen_transformer.py | ucds-sg/h2oai | 7042860767dc25d1a7d7122103bbd5016d02df53 | [
"Apache-2.0"
] | null | null | null | transformers/string/strlen_transformer.py | ucds-sg/h2oai | 7042860767dc25d1a7d7122103bbd5016d02df53 | [
"Apache-2.0"
] | null | null | null | """Returns the string length of categorical values"""
from h2oaicore.transformer_utils import CustomTransformer
import datatable as dt
import numpy as np
class MyStrLenEncoderTransformer(CustomTransformer):
@staticmethod
def get_default_properties():
return dict(col_type="any", min_cols=1, max_cols=1,... | 31.823529 | 82 | 0.724584 | 384 | 0.709797 | 0 | 0 | 130 | 0.240296 | 0 | 0 | 58 | 0.107209 |
fc34bcbcfb8ac1f6bc09817c52d24607717e7ad1 | 235 | py | Python | geometry/eolearn/geometry/__init__.py | eerzin/eo-learn | 53c5cc229de13b98b5778aeb1d45950c25bf2f95 | [
"MIT"
] | 1 | 2019-04-12T09:03:52.000Z | 2019-04-12T09:03:52.000Z | geometry/eolearn/geometry/__init__.py | eerzin/eo-learn | 53c5cc229de13b98b5778aeb1d45950c25bf2f95 | [
"MIT"
] | null | null | null | geometry/eolearn/geometry/__init__.py | eerzin/eo-learn | 53c5cc229de13b98b5778aeb1d45950c25bf2f95 | [
"MIT"
] | 3 | 2019-05-03T09:43:57.000Z | 2019-09-10T17:29:39.000Z | """
Subpackage containing EOTasks for geometrical transformations
"""
from .utilities import ErosionTask, VectorToRaster, RasterToVector
from .sampling import PointSamplingTask, PointSampler, PointRasterSampler
__version__ = '0.4.2'
| 26.111111 | 73 | 0.821277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0.323404 |
fc35043bdda56bc264f387918b5687e34dea2849 | 1,152 | py | Python | api/models/users.py | felipebarraza6/startup_comedy | 42b4a4547bffc0d7cf34ace520355d80053bbd9e | [
"MIT"
] | null | null | null | api/models/users.py | felipebarraza6/startup_comedy | 42b4a4547bffc0d7cf34ace520355d80053bbd9e | [
"MIT"
] | null | null | null | api/models/users.py | felipebarraza6/startup_comedy | 42b4a4547bffc0d7cf34ace520355d80053bbd9e | [
"MIT"
] | null | null | null | """User Model."""
# Django
from django.db import models
from django.contrib.auth.models import AbstractUser
# Utilities
from .utils import ApiModel
class User(ApiModel, AbstractUser):
email = models.EmailField(
'email',
unique = True,
)
USERNAME_FIELD = 'email'
REQUIRED_FIELDS = [... | 24 | 71 | 0.667535 | 994 | 0.862847 | 0 | 0 | 0 | 0 | 0 | 0 | 216 | 0.1875 |
fc3539d71d659a16209a54fcd5f9758f5e36c76b | 3,993 | py | Python | tests/test_server.py | m-bo-one/ethereumd-proxy | 1d1eb3905dac4b28a8e23c283214859a13f6e020 | [
"MIT"
] | 21 | 2017-07-24T15:45:03.000Z | 2019-09-21T16:18:48.000Z | tests/test_server.py | m-bo-one/ethereumd-proxy | 1d1eb3905dac4b28a8e23c283214859a13f6e020 | [
"MIT"
] | 11 | 2017-07-24T20:14:16.000Z | 2019-02-10T22:52:32.000Z | tests/test_server.py | DeV1doR/ethereumd-proxy | 1d1eb3905dac4b28a8e23c283214859a13f6e020 | [
"MIT"
] | 8 | 2018-02-17T13:33:15.000Z | 2020-08-16T05:21:34.000Z | from collections import namedtuple
import json
from asynctest.mock import patch
import pytest
from ethereumd.server import RPCServer
from ethereumd.proxy import EthereumProxy
from aioethereum.errors import BadResponseError
from .base import BaseTestRunner
Request = namedtuple('Request', ['json'])
class TestServe... | 33.554622 | 76 | 0.596043 | 3,687 | 0.923366 | 0 | 0 | 3,396 | 0.850488 | 3,467 | 0.868269 | 615 | 0.15402 |
fc371494e70184822be6d1e222d5e8799a784228 | 973 | py | Python | neorl/rl/baselines/readme.py | evdcush/neorl | a1af069072e752ab79e7279a88ad95d195a81821 | [
"MIT"
] | 20 | 2021-04-20T19:15:33.000Z | 2022-03-19T17:00:12.000Z | neorl/rl/baselines/readme.py | evdcush/neorl | a1af069072e752ab79e7279a88ad95d195a81821 | [
"MIT"
] | 17 | 2021-04-07T21:52:41.000Z | 2022-03-06T16:05:31.000Z | neorl/rl/baselines/readme.py | evdcush/neorl | a1af069072e752ab79e7279a88ad95d195a81821 | [
"MIT"
] | 8 | 2021-05-07T03:36:30.000Z | 2021-12-15T03:41:41.000Z | # This file is part of NEORL.
# Copyright (c) 2021 Exelon Corporation and MIT Nuclear Science and Engineering
# NEORL is free software: you can redistribute it and/or modify
# it under the terms of the MIT LICENSE
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# ... | 54.055556 | 94 | 0.74409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 952 | 0.978417 |
fc3a04cfd338f72934bd5d86f8126f4adfa55c05 | 1,330 | py | Python | Compare.py | sushantPatrikar/WaveCompartor | 112395287b41c1b5533924ebe293c5641647a5e3 | [
"MIT"
] | 3 | 2019-10-27T03:45:18.000Z | 2022-02-21T18:50:58.000Z | Compare.py | sushantPatrikar/WaveComparator | 112395287b41c1b5533924ebe293c5641647a5e3 | [
"MIT"
] | null | null | null | Compare.py | sushantPatrikar/WaveComparator | 112395287b41c1b5533924ebe293c5641647a5e3 | [
"MIT"
] | 1 | 2021-04-20T07:39:37.000Z | 2021-04-20T07:39:37.000Z | from scipy.io import wavfile
import numpy as np
import pingouin as pg
import pandas as pd
_,data = wavfile.read('wav//ed//mp3baked.wav')
_,data1 = wavfile.read('wav//ing//ingeating.wav')
i= data.shape[0]-1
j = data1.shape[0]-1
index_1 = -1
index_2 = -1
try:
data.shape[1]
except IndexError:
... | 15.647059 | 50 | 0.552632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 472 | 0.354887 |
fc3abec567aafacd5d2829eabdf814ac53962d6d | 495 | py | Python | tests/comments/test_only_block_comment.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | 2 | 2021-12-18T01:52:50.000Z | 2022-01-17T19:41:52.000Z | tests/comments/test_only_block_comment.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | 18 | 2021-11-30T04:05:53.000Z | 2022-02-01T03:30:04.000Z | tests/comments/test_only_block_comment.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | null | null | null | from textwrap import dedent
import pytest
from pylox.lox import Lox
TEST_SRC = dedent(
"""\
/*
This is a multiline block comment
*/
"""
)
EXPECTED_STDOUTS: list[str] = []
def test_block_comment_at_eof(capsys: pytest.CaptureFixture) -> None:
interpreter = Lox()
interpreter.run(TEST_SRC)... | 18.333333 | 69 | 0.70101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.129293 |
fc3c853df2b1d6ee609b09518a9278f9e15018c1 | 114 | py | Python | mlbase/lazy.py | n-kats/mlbase | 7d69f259dcaf9608a921523083458fa6d0d6914b | [
"MIT"
] | null | null | null | mlbase/lazy.py | n-kats/mlbase | 7d69f259dcaf9608a921523083458fa6d0d6914b | [
"MIT"
] | 2 | 2018-09-23T18:39:01.000Z | 2018-09-24T18:02:21.000Z | mlbase/lazy.py | n-kats/mlbase | 7d69f259dcaf9608a921523083458fa6d0d6914b | [
"MIT"
] | null | null | null | from mlbase.utils.misc import lazy
tensorflow = lazy("tensorflow")
numpy = lazy("numpy")
gensim = lazy("gensim")
| 19 | 34 | 0.72807 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.236842 |
fc3d1481782a2c4ff97885d3937f7846223c55ab | 1,082 | py | Python | setup.py | sturmianseq/observed | d99fb99ff2a470a86efb2763685e8e2c021e799f | [
"MIT"
] | 33 | 2015-04-29T08:11:42.000Z | 2022-02-01T16:50:25.000Z | setup.py | sturmianseq/observed | d99fb99ff2a470a86efb2763685e8e2c021e799f | [
"MIT"
] | 15 | 2015-02-04T15:11:17.000Z | 2022-01-26T19:58:29.000Z | setup.py | sturmianseq/observed | d99fb99ff2a470a86efb2763685e8e2c021e799f | [
"MIT"
] | 6 | 2017-06-11T19:40:31.000Z | 2021-08-05T07:57:28.000Z | import re
import setuptools
README_FILENAME = "README.md"
VERSION_FILENAME = "observed.py"
VERSION_RE = r"^__version__ = ['\"]([^'\"]*)['\"]"
# Get version information
with open(VERSION_FILENAME, "r") as version_file:
mo = re.search(VERSION_RE, version_file.read(), re.M)
if mo:
version = mo.group(1)
else:
... | 27.05 | 67 | 0.685767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 433 | 0.400185 |
fc3d20f3595ad33d1e9d9bf80ce974904075e7ce | 3,536 | py | Python | src/coco.py | catalyst-team/detector | 383c17ba7701d960ca92be0aafbff05207f2de3a | [
"Apache-2.0"
] | 15 | 2019-05-15T13:42:51.000Z | 2020-11-09T23:13:06.000Z | src/coco.py | catalyst-team/detector | 383c17ba7701d960ca92be0aafbff05207f2de3a | [
"Apache-2.0"
] | 1 | 2020-01-09T08:53:49.000Z | 2020-01-16T19:41:16.000Z | src/coco.py | catalyst-team/detection | 383c17ba7701d960ca92be0aafbff05207f2de3a | [
"Apache-2.0"
] | null | null | null | import os
import json
import numpy as np
import pickle
from typing import Any
from pycocotools.coco import COCO
from torch.utils.data import Dataset
class DetectionMSCOCODataset(Dataset):
def __init__(self, annotation_file: str, image_dir: str):
self._annotation_file = annotation_file
self._imag... | 32.440367 | 97 | 0.588235 | 3,383 | 0.956731 | 0 | 0 | 0 | 0 | 0 | 0 | 206 | 0.058258 |
fc3d3b9be540fd17668cfe15a94b53ed79b67b0a | 328 | py | Python | UVa 10105 polynomial coefficients/sample/main.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | 1 | 2020-11-24T03:17:21.000Z | 2020-11-24T03:17:21.000Z | UVa 10105 polynomial coefficients/sample/main.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | null | null | null | UVa 10105 polynomial coefficients/sample/main.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | 1 | 2021-04-11T16:22:31.000Z | 2021-04-11T16:22:31.000Z | import sys
import operator
sys.stdin = open('input.txt')
fact = [1, 1]
for i in range(2, 15):
fact.append(fact[-1] * i)
while True:
try:
n, k = map(int, raw_input().split())
coef = map(int, raw_input().split())
except:
break
print fact[n] / reduce(operator.mul, [fact[c] for c in... | 21.866667 | 65 | 0.579268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0.033537 |
fc3d8c49e88cab357d3bb76422dab0b50f4b1b22 | 702 | py | Python | pynotes/note/models.py | wallaceleonel/Flash-Cards | fd563455d437f77e42ddf96133214cf752b62bb6 | [
"MIT"
] | 2 | 2020-08-06T15:03:31.000Z | 2020-10-18T14:40:19.000Z | pynotes/note/models.py | wallaceleonel/Flash-Cards | fd563455d437f77e42ddf96133214cf752b62bb6 | [
"MIT"
] | 1 | 2020-08-06T16:15:12.000Z | 2020-08-06T16:15:12.000Z | pynotes/note/models.py | wallaceleonel/Flash-Cards | fd563455d437f77e42ddf96133214cf752b62bb6 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from django.db import models
from django.urls import reverse
# Create your models here.
class Post(models.Model):
title = models.CharField(max_length=255)
slug = models.SlugField(max_length=255,unique=True)
#meusite.com/blog;introducao-ao-django
author = mo... | 27 | 65 | 0.710826 | 566 | 0.806268 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.132479 |
fc3e56f1b6dc2446fe20c8456364bfd95e849dd0 | 7,538 | py | Python | infrastructure-provisioning/src/general/scripts/azure/common_notebook_configure_dataengine.py | DmytroLiaskovskyi/incubator-dlab | af995e98b3b3cf526fb9741a3e5117dd1e04f3aa | [
"Apache-2.0"
] | null | null | null | infrastructure-provisioning/src/general/scripts/azure/common_notebook_configure_dataengine.py | DmytroLiaskovskyi/incubator-dlab | af995e98b3b3cf526fb9741a3e5117dd1e04f3aa | [
"Apache-2.0"
] | null | null | null | infrastructure-provisioning/src/general/scripts/azure/common_notebook_configure_dataengine.py | DmytroLiaskovskyi/incubator-dlab | af995e98b3b3cf526fb9741a3e5117dd1e04f3aa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# *****************************************************************************
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The A... | 51.986207 | 122 | 0.628549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,322 | 0.4407 |
fc403c27d1d4da0e66a446351a2e2650278bc62d | 1,527 | py | Python | pyACA/ToolFreq2Bark.py | ruohoruotsi/pyACA | 339e9395b65a217aa5965638af941b32d5c95454 | [
"MIT"
] | 81 | 2019-07-08T15:48:03.000Z | 2022-03-21T22:52:25.000Z | pyACA/ToolFreq2Bark.py | ruohoruotsi/pyACA | 339e9395b65a217aa5965638af941b32d5c95454 | [
"MIT"
] | 24 | 2019-10-03T19:20:18.000Z | 2022-02-28T17:20:40.000Z | pyACA/ToolFreq2Bark.py | ruohoruotsi/pyACA | 339e9395b65a217aa5965638af941b32d5c95454 | [
"MIT"
] | 26 | 2019-07-18T23:50:52.000Z | 2022-03-10T14:59:35.000Z | # -*- coding: utf-8 -*-
"""
helper function: convert Hz to Bark scale
Args:
fInHz: The frequency to be converted, can be scalar or vector
cModel: The name of the model ('Schroeder' [default], 'Terhardt', 'Zwicker', 'Traunmuller')
Returns:
Bark values of the input dimension
"""
import numpy as np
imp... | 28.811321 | 95 | 0.591356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 0.242305 |
fc40aa5a0884df8e751f2fa5cfb93216f3c13768 | 16,560 | py | Python | magenta/models/sketch_rnn/rnn.py | laurens-in/magenta | be6ed8d5b1eb2986ca277aa9c574a7912dd5ed0f | [
"Apache-2.0"
] | 1 | 2021-12-27T10:43:39.000Z | 2021-12-27T10:43:39.000Z | magenta/models/sketch_rnn/rnn.py | kyungyunlee/magenta | cf80d19fc0c2e935821f284ebb64a8885f793717 | [
"Apache-2.0"
] | null | null | null | magenta/models/sketch_rnn/rnn.py | kyungyunlee/magenta | cf80d19fc0c2e935821f284ebb64a8885f793717 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The Magenta Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 33.186373 | 80 | 0.634964 | 10,974 | 0.662681 | 0 | 0 | 495 | 0.029891 | 0 | 0 | 3,807 | 0.229891 |
fc412db90075a83ae4e5731ee32b0fb7611791ff | 6,034 | py | Python | src/cogent3/cluster/UPGMA.py | u6052029/cogent3 | ca0efcb7f60b715bcbfbecd924cdb98a53cefe20 | [
"BSD-3-Clause"
] | null | null | null | src/cogent3/cluster/UPGMA.py | u6052029/cogent3 | ca0efcb7f60b715bcbfbecd924cdb98a53cefe20 | [
"BSD-3-Clause"
] | null | null | null | src/cogent3/cluster/UPGMA.py | u6052029/cogent3 | ca0efcb7f60b715bcbfbecd924cdb98a53cefe20 | [
"BSD-3-Clause"
] | null | null | null | # usr/bin/env python
"""Functions to cluster using UPGMA
upgma takes an dictionary of pair tuples mapped to distances as input.
UPGMA_cluster takes an array and a list of PhyloNode objects corresponding
to the array as input. Can also generate this type of input from a DictArray using
inputs_from_dict_array function.... | 36.569697 | 82 | 0.716937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,189 | 0.528505 |
fc416ffd2f7c1bbdb707cd0d27fb98dd3ff367ba | 881 | py | Python | src/python/make_store_entry.py | kf7lsu/RegfileCompiler-public | 0845f1458137cef06d584047bb4287a72c6afbab | [
"Apache-2.0"
] | null | null | null | src/python/make_store_entry.py | kf7lsu/RegfileCompiler-public | 0845f1458137cef06d584047bb4287a72c6afbab | [
"Apache-2.0"
] | null | null | null | src/python/make_store_entry.py | kf7lsu/RegfileCompiler-public | 0845f1458137cef06d584047bb4287a72c6afbab | [
"Apache-2.0"
] | null | null | null | #this code will generate the structural verilog for a single entry in the register file
#takes in the output file manager, the entry number, the number of bits, the number of reads, and the width of the
#tristate buffers on the read outputs
#expects the same things as make_store_cell, ensure code is valid there
#Matt... | 31.464286 | 114 | 0.760499 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 481 | 0.54597 |
fc417b4336f77e529dd64d425d37722b3edade09 | 1,007 | py | Python | module1/api.py | oceandelee/tac | 62ffbcb31b374a9fa83a1ee6010b2e00f2de8a7c | [
"MIT"
] | null | null | null | module1/api.py | oceandelee/tac | 62ffbcb31b374a9fa83a1ee6010b2e00f2de8a7c | [
"MIT"
] | null | null | null | module1/api.py | oceandelee/tac | 62ffbcb31b374a9fa83a1ee6010b2e00f2de8a7c | [
"MIT"
] | null | null | null | """API for AVB"""
import json
import sys
import requests
def actualite_found ():
osm = "https://opendata.bruxelles.be/api/datasets/1.0/search/?q="
data = {
"nhits":0,
"parameters":{
"dataset":"actualites-ville-de-bruxelles",
"timezone":"UTC",
"q":"actualite",
"langu... | 19.365385 | 69 | 0.5571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 334 | 0.331678 |
fc422cd23ef7241b5d35bfeb10b87ff16ba77128 | 7,782 | py | Python | improver/cli/nbhood.py | cpelley/improver | ebf77fe2adc85ed7aec74c26671872a2e4388ded | [
"BSD-3-Clause"
] | 77 | 2017-04-26T07:47:40.000Z | 2022-03-31T09:40:49.000Z | improver/cli/nbhood.py | cpelley/improver | ebf77fe2adc85ed7aec74c26671872a2e4388ded | [
"BSD-3-Clause"
] | 1,440 | 2017-03-29T10:04:15.000Z | 2022-03-28T10:11:29.000Z | improver/cli/nbhood.py | MoseleyS/improver | ca028e3a1c842e3ff00b188c8ea6eaedd0a07149 | [
"BSD-3-Clause"
] | 72 | 2017-03-17T16:53:45.000Z | 2022-02-16T09:41:37.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# (C) British Crown Copyright 2017-2021 Met Office.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the ... | 42.758242 | 88 | 0.681187 | 0 | 0 | 0 | 0 | 5,972 | 0.767412 | 0 | 0 | 5,620 | 0.722179 |
fc43b75bb4a6cda564bcd320da8b77c8174105e4 | 58,644 | py | Python | bonsai/model.py | ipa-mirb/bonsai | cb73317cdf779566f7c496fc39546c9c689aa09c | [
"MIT"
] | null | null | null | bonsai/model.py | ipa-mirb/bonsai | cb73317cdf779566f7c496fc39546c9c689aa09c | [
"MIT"
] | null | null | null | bonsai/model.py | ipa-mirb/bonsai | cb73317cdf779566f7c496fc39546c9c689aa09c | [
"MIT"
] | null | null | null |
#Copyright (c) 2017 Andre Santos
#
#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, distribute... | 35.889841 | 81 | 0.60325 | 56,001 | 0.954931 | 3,925 | 0.066929 | 2,993 | 0.051037 | 0 | 0 | 30,428 | 0.51886 |
fc44182959538bc560fdd3758022cac4683b26ba | 737 | py | Python | api/views/todo_views.py | felipe-menelau/todo-list-web | 9b60a549dc6d5bdd88e1a584b8bb2c4f56131cb5 | [
"MIT"
] | null | null | null | api/views/todo_views.py | felipe-menelau/todo-list-web | 9b60a549dc6d5bdd88e1a584b8bb2c4f56131cb5 | [
"MIT"
] | null | null | null | api/views/todo_views.py | felipe-menelau/todo-list-web | 9b60a549dc6d5bdd88e1a584b8bb2c4f56131cb5 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
from rest_framework import viewsets, status
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated, IsAdminUser
from api.serializers import TODOListSerializer
from api.models import TODOList
class TODOListViewSet(viewsets.ModelVi... | 33.5 | 86 | 0.766621 | 453 | 0.614654 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.02578 |
fc4539e7bc135f9ebeba5ee7c487446b450f5f15 | 35 | py | Python | Python/Tests/TestData/ProjectHomeProjects/Subfolder/ProgramB.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 404 | 2019-05-07T02:21:57.000Z | 2022-03-31T17:03:04.000Z | Python/Tests/TestData/ProjectHomeProjects/Subfolder/ProgramB.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 1,672 | 2019-05-06T21:09:38.000Z | 2022-03-31T23:16:04.000Z | Python/Tests/TestData/ProjectHomeProjects/Subfolder/ProgramB.py | techkey/PTVS | 8355e67eedd8e915ca49bd38a2f36172696fd903 | [
"Apache-2.0"
] | 186 | 2019-05-13T03:17:37.000Z | 2022-03-31T16:24:05.000Z | # ProgramB.py
print('Hello World')
| 11.666667 | 20 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.742857 |
fc461d0fe4c1ef7384477f1e053ae3080c54c6a9 | 1,541 | py | Python | donation/migrations/0043_auto_20180109_0012.py | effective-altruism-australia/donation-portal | 45fe58edc44d0c4444b493e4ac025fc53897c799 | [
"MIT"
] | 1 | 2019-04-23T01:29:26.000Z | 2019-04-23T01:29:26.000Z | donation/migrations/0043_auto_20180109_0012.py | effective-altruism-australia/donation-portal | 45fe58edc44d0c4444b493e4ac025fc53897c799 | [
"MIT"
] | 68 | 2017-02-10T21:33:39.000Z | 2019-06-22T13:40:02.000Z | donation/migrations/0043_auto_20180109_0012.py | effective-altruism-australia/donation-portal | 45fe58edc44d0c4444b493e4ac025fc53897c799 | [
"MIT"
] | 5 | 2016-11-08T01:35:47.000Z | 2020-12-08T07:32:34.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
def copy_existing_referrals_into_new_field(apps, schema_editor):
Pledge = apps.get_model('donation', 'Pledge')
Referral = apps.get_model('donation', 'Referral')
reason... | 35.022727 | 171 | 0.658663 | 790 | 0.512654 | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 0.168722 |
fc4647689f1b8d8a1248e0d89dd5fa8d84dedfbf | 350 | py | Python | python/is_even.py | c1m50c/twitter-examples | c3ed7cf88dacbb761fed1b0b0dc593d7d3648378 | [
"MIT"
] | null | null | null | python/is_even.py | c1m50c/twitter-examples | c3ed7cf88dacbb761fed1b0b0dc593d7d3648378 | [
"MIT"
] | null | null | null | python/is_even.py | c1m50c/twitter-examples | c3ed7cf88dacbb761fed1b0b0dc593d7d3648378 | [
"MIT"
] | null | null | null | def is_even(i: int) -> bool:
if i == 1:
return False
elif i == 2:
return True
elif i == 3:
return False
elif i == 4:
return True
elif i == 5:
...
# Never do that! Use one of these instead...
is_even = lambda i : i % 2 == 0
is_even = lambda i : not i & 1
is_o... | 20.588235 | 44 | 0.511429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.125714 |
fc46a91fda80741480960994acf3dbc98c9e618b | 8,886 | py | Python | wordpress-brute.py | RandomRobbieBF/wordpress-bf | fe78d4367b7baaf18a4200c5c040595d37b4100f | [
"MIT"
] | 1 | 2020-07-27T11:30:23.000Z | 2020-07-27T11:30:23.000Z | wordpress-brute.py | RandomRobbieBF/wordpress-bf | fe78d4367b7baaf18a4200c5c040595d37b4100f | [
"MIT"
] | null | null | null | wordpress-brute.py | RandomRobbieBF/wordpress-bf | fe78d4367b7baaf18a4200c5c040595d37b4100f | [
"MIT"
] | 1 | 2020-05-17T12:40:13.000Z | 2020-05-17T12:40:13.000Z | #!/usr/bin/env python
#
# Wordpress Bruteforce Tool
#
# By @random_robbie
#
#
import requests
import json
import sys
import argparse
import re
import os.path
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
session = requests.Se... | 31.399293 | 388 | 0.679721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,616 | 0.406932 |
fc48029eb6bc6d9c3b97d0e2970ae2bc11eb162e | 5,626 | py | Python | graph_search/week2/assignment_dijkstra_shortest_paths.py | liaoaoyuan97/standford_algorithms_specialization | 2914fdd397ce895d986ac855e78afd7a51ceff68 | [
"MIT"
] | null | null | null | graph_search/week2/assignment_dijkstra_shortest_paths.py | liaoaoyuan97/standford_algorithms_specialization | 2914fdd397ce895d986ac855e78afd7a51ceff68 | [
"MIT"
] | null | null | null | graph_search/week2/assignment_dijkstra_shortest_paths.py | liaoaoyuan97/standford_algorithms_specialization | 2914fdd397ce895d986ac855e78afd7a51ceff68 | [
"MIT"
] | 1 | 2021-01-18T19:35:48.000Z | 2021-01-18T19:35:48.000Z | import heapq
import time
from os import path
from math import floor
class Heap:
def __init__(self):
self.size = 0
self.array = []
self.v2index_map = {}
def __get_parent_index(self, idx):
return int(floor((idx - 1) / 2))
def __get_left_child_index(self, idx):
retur... | 27.714286 | 119 | 0.551369 | 2,513 | 0.446676 | 0 | 0 | 0 | 0 | 0 | 0 | 566 | 0.100604 |
fc480677b321e1843fe0812d2b7ce6bbeeb5090e | 4,345 | py | Python | ssod/utils/structure_utils.py | huimlight/SoftTeacher | 97064fbcce1ab87b40977544ba7a9c488274d66f | [
"MIT"
] | 604 | 2021-08-09T03:00:35.000Z | 2022-03-31T13:43:14.000Z | ssod/utils/structure_utils.py | huimlight/SoftTeacher | 97064fbcce1ab87b40977544ba7a9c488274d66f | [
"MIT"
] | 158 | 2021-08-29T07:58:22.000Z | 2022-03-31T15:23:27.000Z | ssod/utils/structure_utils.py | huimlight/SoftTeacher | 97064fbcce1ab87b40977544ba7a9c488274d66f | [
"MIT"
] | 92 | 2021-08-24T07:29:37.000Z | 2022-03-29T03:01:34.000Z | import warnings
from collections import Counter, Mapping, Sequence
from numbers import Number
from typing import Dict, List
import numpy as np
import torch
from mmdet.core.mask.structures import BitmapMasks
from torch.nn import functional as F
_step_counter = Counter()
def list_concat(data_list: List[list]):
if... | 28.214286 | 88 | 0.607595 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.014499 |
fc49b99b0326493e147f5f9c2af303341e2290ed | 2,422 | py | Python | tests/tabular_output/test_terminaltables_adapter.py | zzl0/cli_helpers | 266645937423225bdb636ef6aa659f1a40ceec5f | [
"BSD-3-Clause"
] | null | null | null | tests/tabular_output/test_terminaltables_adapter.py | zzl0/cli_helpers | 266645937423225bdb636ef6aa659f1a40ceec5f | [
"BSD-3-Clause"
] | null | null | null | tests/tabular_output/test_terminaltables_adapter.py | zzl0/cli_helpers | 266645937423225bdb636ef6aa659f1a40ceec5f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test the terminaltables output adapter."""
from __future__ import unicode_literals
from textwrap import dedent
import pytest
from cli_helpers.compat import HAS_PYGMENTS
from cli_helpers.tabular_output import terminaltables_adapter
if HAS_PYGMENTS:
from pygments.style import Style
... | 34.6 | 86 | 0.547069 | 131 | 0.053513 | 0 | 0 | 1,614 | 0.659314 | 0 | 0 | 1,215 | 0.496324 |
fc4a04571ae8ad033810ff66b391deb8c9d55bed | 1,642 | py | Python | dev/Tools/build/waf-1.7.13/waflib/extras/fc_xlf.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 1,738 | 2017-09-21T10:59:12.000Z | 2022-03-31T21:05:46.000Z | dev/Tools/build/waf-1.7.13/waflib/extras/fc_xlf.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 427 | 2017-09-29T22:54:36.000Z | 2022-02-15T19:26:50.000Z | dev/Tools/build/waf-1.7.13/waflib/extras/fc_xlf.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 671 | 2017-09-21T08:04:01.000Z | 2022-03-29T14:30:07.000Z | #! /usr/bin/env python
# encoding: utf-8
# harald at klimachs.de
import re
from waflib import Utils,Errors
from waflib.Tools import fc,fc_config,fc_scan
from waflib.Configure import conf
from waflib.Tools.compiler_fc import fc_compiler
fc_compiler['aix'].insert(0, 'fc_xlf')
@conf
def find_xlf(conf):
"""Find the xlf... | 25.261538 | 115 | 0.693057 | 0 | 0 | 0 | 0 | 1,215 | 0.739951 | 0 | 0 | 533 | 0.324604 |
fc4af8f087c68aec19d9b595aee4bd3178dfeac2 | 9,119 | py | Python | tutorials/create_table/tests.py | MeGustas-5427/SQL_Tutorials | 627372c2d5d8656d72645830c9a1fae1df278fc7 | [
"Apache-2.0"
] | 13 | 2020-11-05T04:22:51.000Z | 2022-02-27T08:44:50.000Z | tutorials/create_table/tests.py | MeGustas-5427/SQL_Tutorials | 627372c2d5d8656d72645830c9a1fae1df278fc7 | [
"Apache-2.0"
] | null | null | null | tutorials/create_table/tests.py | MeGustas-5427/SQL_Tutorials | 627372c2d5d8656d72645830c9a1fae1df278fc7 | [
"Apache-2.0"
] | 2 | 2020-11-10T10:01:20.000Z | 2021-04-07T02:33:29.000Z | #!/usr/bin/python3
# -*- coding:utf-8 -*-
# __author__ = '__MeGustas__'
from django.test import TestCase
from django.db import connection
from tutorials.create_table.models import *
# Create your tests here.
class TestHealthFile(TestCase):
def setUp(self):
cursor = connection.cursor()
# Popul... | 67.051471 | 154 | 0.665205 | 8,905 | 0.976533 | 0 | 0 | 0 | 0 | 0 | 0 | 7,156 | 0.784735 |
fc4b846e57d2910c0d4eb0a932e3548a8ac421c6 | 31,822 | py | Python | hero/hero.py | tmfds/dfk | 91b6f95a4630b57deecf87cf4850b6576646c7d1 | [
"MIT"
] | null | null | null | hero/hero.py | tmfds/dfk | 91b6f95a4630b57deecf87cf4850b6576646c7d1 | [
"MIT"
] | null | null | null | hero/hero.py | tmfds/dfk | 91b6f95a4630b57deecf87cf4850b6576646c7d1 | [
"MIT"
] | null | null | null | import copy
from web3 import Web3
from .utils import utils as hero_utils
CONTRACT_ADDRESS = '0x5f753dcdf9b1ad9aabc1346614d1f4746fd6ce5c'
ABI = """
[
{"anonymous":false,"inputs":[{"indexed":true,"internalType":"address","name":"owner","type":"address"},{"indexed":true,"internalType":"addres... | 117.859259 | 5,003 | 0.671139 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23,757 | 0.746559 |
fc4c938deecee815416606c1468c7d127f759b88 | 364 | py | Python | tests/test_langs_fr.py | honzajavorek/tipi | cbe51192725608b6fba1244a48610ae231b13e08 | [
"MIT"
] | 3 | 2016-04-13T17:49:09.000Z | 2017-11-10T22:26:17.000Z | tests/test_langs_fr.py | honzajavorek/tipi | cbe51192725608b6fba1244a48610ae231b13e08 | [
"MIT"
] | null | null | null | tests/test_langs_fr.py | honzajavorek/tipi | cbe51192725608b6fba1244a48610ae231b13e08 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from tipi import tipi as _tipi
tipi = lambda s: _tipi(s, lang='fr')
def test_double_quotes():
assert tipi('''"brutal" "quote's"''') == (
'''«brutal» «quote's»'''
)
def test_single_quotes():
assert tipi("""'brutal' 'quote's'""") ... | 17.333333 | 46 | 0.56044 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.359043 |
fc50f97ead454f81e6290dc083d27cd62ab11353 | 2,878 | py | Python | vendor/models.py | brethauer/mirage | 396f61206bf76f997c0535277af918058aa1b827 | [
"CC0-1.0"
] | 8 | 2015-03-07T02:56:32.000Z | 2016-08-30T17:09:30.000Z | vendor/models.py | brethauer/mirage | 396f61206bf76f997c0535277af918058aa1b827 | [
"CC0-1.0"
] | 16 | 2015-02-25T16:09:39.000Z | 2016-12-09T22:58:04.000Z | vendor/models.py | brethauer/mirage | 396f61206bf76f997c0535277af918058aa1b827 | [
"CC0-1.0"
] | 13 | 2015-03-09T00:20:49.000Z | 2021-02-14T11:02:32.000Z | from django.db import models
VEHICLE_CHOICES = (
('OASISSB', 'OASIS Small Business'),
('OASIS', 'OASIS Unrestricted')
)
STATUS_CHOICES = (
('P', 'In Progress'),
('C', 'Completed'),
('F', 'Cancelled')
)
class Vendor(models.Model):
name = models.CharField(max_length=128)
duns = models.C... | 33.858824 | 82 | 0.709173 | 2,635 | 0.915566 | 0 | 0 | 0 | 0 | 0 | 0 | 199 | 0.069145 |
fc515ce56fd34f4315010ae886d6091f5950eab2 | 610 | py | Python | two_qubit_simulator/circuits.py | L-McCormack/two-qubit-simulator | d7115f0630c9931724aa660dba4b89a50db4e2e0 | [
"MIT"
] | null | null | null | two_qubit_simulator/circuits.py | L-McCormack/two-qubit-simulator | d7115f0630c9931724aa660dba4b89a50db4e2e0 | [
"MIT"
] | null | null | null | two_qubit_simulator/circuits.py | L-McCormack/two-qubit-simulator | d7115f0630c9931724aa660dba4b89a50db4e2e0 | [
"MIT"
] | null | null | null | """
Contains the QuantumCircuit class
boom.
"""
class QuantumCircuit(object): # pylint: disable=useless-object-inheritance
""" Implements a quantum circuit.
- - - WRITE DOCUMENTATION HERE - - -
"""
def __init__(self):
""" Initialise a QuantumCircuit object """
pass
def add_ga... | 23.461538 | 74 | 0.598361 | 560 | 0.918033 | 0 | 0 | 0 | 0 | 0 | 0 | 356 | 0.583607 |
fc519cd073372b79ff5e315d6c117f1de77e8ef5 | 602 | py | Python | examples/bathymetricGradient.py | usgs/water-datapreptools | 49c852a0c189e142a351331ba6e0d1ef9e7a408b | [
"CC0-1.0"
] | 2 | 2021-06-22T18:18:47.000Z | 2021-09-25T18:16:26.000Z | examples/bathymetricGradient.py | usgs/water-datapreptools | 49c852a0c189e142a351331ba6e0d1ef9e7a408b | [
"CC0-1.0"
] | null | null | null | examples/bathymetricGradient.py | usgs/water-datapreptools | 49c852a0c189e142a351331ba6e0d1ef9e7a408b | [
"CC0-1.0"
] | null | null | null | import sys
sys.path.append("..") # change environment to see tools
from make_hydrodem import bathymetricGradient
workspace = r"" # path to geodatabase to use as a workspace
snapGrid = r"" # path to snapping grid
hucPoly = r"" # path to local folder polygon
hydrographyArea = r"" # path to NHD area feature class... | 43 | 67 | 0.757475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 278 | 0.461794 |
fc52596785d1ffc33b3982ed9e7fa9443b9fefb7 | 9,799 | py | Python | out/flowContext.py | hxb1997/Menge | 7a09a6236d8eef23e3d15d08873d5918d064761b | [
"Apache-2.0"
] | null | null | null | out/flowContext.py | hxb1997/Menge | 7a09a6236d8eef23e3d15d08873d5918d064761b | [
"Apache-2.0"
] | null | null | null | out/flowContext.py | hxb1997/Menge | 7a09a6236d8eef23e3d15d08873d5918d064761b | [
"Apache-2.0"
] | 1 | 2021-07-01T09:40:01.000Z | 2021-07-01T09:40:01.000Z | # This is the OpenGL context for drawing flow calculation lines
from Context import *
from primitives import Vector2, Segment
from OpenGL.GL import *
from copy import deepcopy
class GLFlowSegment( Segment ):
'''The OpenGL representation of a flow line. Basically a segment
with a direciton indicator. The dire... | 37.98062 | 89 | 0.525462 | 9,619 | 0.981631 | 0 | 0 | 0 | 0 | 0 | 0 | 2,838 | 0.289621 |
fc526e31f18c99d7210b6012a52b4a8ccf202ae9 | 35 | py | Python | instascrape/collectors/__init__.py | Paola351/instascrape | b4a50c9140fa9054187738f6d1564cecc32cbaab | [
"MIT"
] | 1 | 2021-03-10T03:36:43.000Z | 2021-03-10T03:36:43.000Z | examples/collectors/__init__.py | fo0nikens/instascrape | 699dd2169a96438d1d71bce5b1401fd5c5f0e531 | [
"MIT"
] | null | null | null | examples/collectors/__init__.py | fo0nikens/instascrape | 699dd2169a96438d1d71bce5b1401fd5c5f0e531 | [
"MIT"
] | null | null | null | from .interval_collectors import *
| 17.5 | 34 | 0.828571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fc5346e19911a49d8686625f457f771311d07483 | 324 | py | Python | Codes/gracekoo/test.py | ghoslation/algorithm | 5708bf89e59a80cd0f50f2e6138f069b4f9bc96e | [
"Apache-2.0"
] | 256 | 2017-10-25T13:02:15.000Z | 2022-02-25T13:47:59.000Z | Codes/gracekoo/test.py | IYoreI/Algorithm | 0addf0cda0ec9e3f46c480eeda3a8ecb64c94121 | [
"Apache-2.0"
] | 56 | 2017-10-27T01:34:20.000Z | 2022-03-01T00:20:55.000Z | Codes/gracekoo/test.py | IYoreI/Algorithm | 0addf0cda0ec9e3f46c480eeda3a8ecb64c94121 | [
"Apache-2.0"
] | 83 | 2017-10-25T12:51:53.000Z | 2022-02-15T08:27:03.000Z | # -*- coding: utf-8 -*-
# @Time: 2020/11/8 23:47
# @Author: GraceKoo
# @File: test.py
# @Desc:
from threading import Thread
import time
def print_numbers():
time.sleep(0.2)
print("子线程结束")
if __name__ == "__main__":
t1 = Thread(target=print_numbers)
t1.setDaemon(True)
t1.start()
# print("主线程结... | 16.2 | 37 | 0.623457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.415698 |
fc534b79cb83ef68a1a71a69fd50a17561f7b0a3 | 5,894 | py | Python | src/_main_/settings.py | gregory-chekler/api | 11ecbea945e7eb6fa677a0c0bb32bda51ba15f28 | [
"MIT"
] | null | null | null | src/_main_/settings.py | gregory-chekler/api | 11ecbea945e7eb6fa677a0c0bb32bda51ba15f28 | [
"MIT"
] | null | null | null | src/_main_/settings.py | gregory-chekler/api | 11ecbea945e7eb6fa677a0c0bb32bda51ba15f28 | [
"MIT"
] | null | null | null | """
Django settings for massenergize_portal_backend project.
Generated by 'django-admin startproject' using Django 2.1.4.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/setting... | 29.918782 | 165 | 0.69172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,545 | 0.601459 |
fc545ada34aef15e72804247df9cc885de6ee820 | 2,657 | py | Python | aiorpcgrid/client.py | urands/aiorpcgrid | 7bc9ee9a80fa843998b2604d7c0803b323628480 | [
"Apache-2.0"
] | null | null | null | aiorpcgrid/client.py | urands/aiorpcgrid | 7bc9ee9a80fa843998b2604d7c0803b323628480 | [
"Apache-2.0"
] | null | null | null | aiorpcgrid/client.py | urands/aiorpcgrid | 7bc9ee9a80fa843998b2604d7c0803b323628480 | [
"Apache-2.0"
] | null | null | null | import asyncio
# from aiorpcgrid.client import Client
from aiorpcgrid.task import AsyncTask, State
class AsyncClient:
_provider = None
_method = None
_requests: dict = {}
_running = True
_request_queue: asyncio.Queue = asyncio.Queue()
_loop = None
def __init__(self, provider, loop=None):... | 34.960526 | 77 | 0.546481 | 2,554 | 0.961234 | 0 | 0 | 0 | 0 | 1,670 | 0.628528 | 94 | 0.035378 |
fc557f84938097fbd8c0d95d4d05c57f1ad0bde0 | 4,093 | py | Python | python/src/otel/otel_sdk/opentelemetry/instrumentation/aws_lambda/__init__.py | matt-tyler/opentelemetry-lambda | 6b427d351fa721620fcd387e836e9f2f9f20cb60 | [
"Apache-2.0"
] | null | null | null | python/src/otel/otel_sdk/opentelemetry/instrumentation/aws_lambda/__init__.py | matt-tyler/opentelemetry-lambda | 6b427d351fa721620fcd387e836e9f2f9f20cb60 | [
"Apache-2.0"
] | null | null | null | python/src/otel/otel_sdk/opentelemetry/instrumentation/aws_lambda/__init__.py | matt-tyler/opentelemetry-lambda | 6b427d351fa721620fcd387e836e9f2f9f20cb60 | [
"Apache-2.0"
] | 1 | 2021-01-24T12:08:18.000Z | 2021-01-24T12:08:18.000Z | # Copyright 2020, OpenTelemetry Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 34.108333 | 151 | 0.716101 | 2,307 | 0.563645 | 0 | 0 | 0 | 0 | 0 | 0 | 1,771 | 0.43269 |
fc572a69e6a41f7d2d8f4eb6c221dcaa2427e9e3 | 471 | py | Python | instructors/migrations/0021_alter_user_avatar_url.py | bastoune57/gokiting_back_end | f3edcbeede292713349b28f2390b5d57e1420f8e | [
"MIT"
] | null | null | null | instructors/migrations/0021_alter_user_avatar_url.py | bastoune57/gokiting_back_end | f3edcbeede292713349b28f2390b5d57e1420f8e | [
"MIT"
] | null | null | null | instructors/migrations/0021_alter_user_avatar_url.py | bastoune57/gokiting_back_end | f3edcbeede292713349b28f2390b5d57e1420f8e | [
"MIT"
] | null | null | null | # Generated by Django 4.0.2 on 2022-04-01 16:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('instructors', '0020_alter_user_description_alter_user_title'),
]
operations = [
migrations.AlterField(
model_name='user',
... | 24.789474 | 108 | 0.651805 | 378 | 0.802548 | 0 | 0 | 0 | 0 | 0 | 0 | 174 | 0.369427 |
fc58e1c32b322dbf5e028fbcbb5c81a4dc6ff07a | 1,348 | py | Python | sopa/src/models/utils.py | SamplingAndEnsemblingSolvers/SamplingAndEnsemblingSolvers | 5ad3cae76c3cc9cec4d347807012e61121ea61b9 | [
"MIT"
] | 25 | 2021-03-16T13:40:45.000Z | 2021-08-12T04:54:39.000Z | sopa/src/models/utils.py | MetaSolver/icml2021 | 619774abe4a834ae371434af8b23379e9524e7da | [
"BSD-3-Clause"
] | null | null | null | sopa/src/models/utils.py | MetaSolver/icml2021 | 619774abe4a834ae371434af8b23379e9524e7da | [
"BSD-3-Clause"
] | 1 | 2021-03-31T02:58:03.000Z | 2021-03-31T02:58:03.000Z | import numpy as np
import torch
import random
from .odenet_mnist.layers import MetaNODE
def fix_seeds(seed=502):
np.random.seed(seed)
random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
torch.set_printoptions(precision=10)
torch.backends.cudnn.deterministic = Tr... | 27.510204 | 99 | 0.635015 | 452 | 0.335312 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.060089 |
fc5ae40661fc1b76d02d932d2ea414f59839b072 | 319 | py | Python | packages/micropython-official/v1.10/esp32/stubs/ubinascii.py | TheVinhLuong102/micropy-stubs | 55ff1773008f7c4dfc3d70a403986486226eb6b3 | [
"MIT"
] | 18 | 2019-07-11T13:31:09.000Z | 2022-01-27T06:38:40.000Z | packages/micropython-official/v1.10/esp32/stubs/ubinascii.py | TheVinhLuong102/micropy-stubs | 55ff1773008f7c4dfc3d70a403986486226eb6b3 | [
"MIT"
] | 9 | 2019-09-01T21:44:49.000Z | 2022-02-04T20:55:08.000Z | packages/micropython-official/v1.10/esp32/stubs/ubinascii.py | TheVinhLuong102/micropy-stubs | 55ff1773008f7c4dfc3d70a403986486226eb6b3 | [
"MIT"
] | 6 | 2019-10-08T05:31:21.000Z | 2021-04-22T10:21:01.000Z | """
Module: 'ubinascii' on esp32 1.10.0
"""
# MCU: (sysname='esp32', nodename='esp32', release='1.10.0', version='v1.10 on 2019-01-25', machine='ESP32 module with ESP32')
# Stubber: 1.2.0
def a2b_base64():
pass
def b2a_base64():
pass
def crc32():
pass
def hexlify():
pass
def unhexlify():
pass
| 15.190476 | 126 | 0.623824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 0.579937 |
fc5b4e12e35ec5a1123e4672989f9b50567b330a | 3,141 | py | Python | jv/test_jv.py | chenwang/QuantEcon.lectures.code | 8832a74acd219a71cb0a99dc63c5e976598ac999 | [
"BSD-3-Clause"
] | 56 | 2017-05-09T10:45:23.000Z | 2022-01-20T20:33:27.000Z | jv/test_jv.py | chenwang/QuantEcon.lectures.code | 8832a74acd219a71cb0a99dc63c5e976598ac999 | [
"BSD-3-Clause"
] | 7 | 2017-06-30T01:52:46.000Z | 2019-05-01T20:09:47.000Z | jv/test_jv.py | QuantEcon/QuantEcon.lectures.code | d61ac7bc54529dd5c77470c17539eb2418b047c9 | [
"BSD-3-Clause"
] | 117 | 2017-04-25T16:09:17.000Z | 2022-03-23T02:30:29.000Z | """
@author : Spencer Lyon
"""
from __future__ import division
import sys
import unittest
from nose.plugins.skip import SkipTest
from jv import JvWorker
from quantecon import compute_fixed_point
from quantecon.tests import get_h5_data_file, write_array, max_abs_diff
# specify params -- use defaults
A = 1.4
alpha = 0... | 28.044643 | 78 | 0.606176 | 1,210 | 0.385228 | 0 | 0 | 400 | 0.127348 | 0 | 0 | 760 | 0.241961 |
fc5bfb461089e67c5b2c46ef4db3208ad1a8b352 | 9,820 | py | Python | excentury/command/config.py | LaudateCorpus1/excentury | 8d0f20bb3e543382170e042fac51a56377c4024b | [
"BSD-2-Clause"
] | null | null | null | excentury/command/config.py | LaudateCorpus1/excentury | 8d0f20bb3e543382170e042fac51a56377c4024b | [
"BSD-2-Clause"
] | null | null | null | excentury/command/config.py | LaudateCorpus1/excentury | 8d0f20bb3e543382170e042fac51a56377c4024b | [
"BSD-2-Clause"
] | 1 | 2021-12-31T13:24:16.000Z | 2021-12-31T13:24:16.000Z | """Config
This module is in charge of providing all the necessary settings to
the rest of the modules in excentury.
"""
import os
import re
import sys
import textwrap
import argparse
from collections import OrderedDict
from excentury.command import error, trace, import_mod
DESC = """Edit a configuration file for ex... | 33.175676 | 77 | 0.559063 | 574 | 0.058452 | 0 | 0 | 0 | 0 | 0 | 0 | 3,245 | 0.330448 |
fc5d1f91e8b522de235f963587514841692890ab | 4,696 | py | Python | tests/test_urls.py | pkjmesra/nseta | 28cd8cede465efe9f506a38c5933602c463e5185 | [
"MIT"
] | 8 | 2020-10-12T02:59:03.000Z | 2022-03-20T15:06:50.000Z | tests/test_urls.py | pkjmesra/nseta | 28cd8cede465efe9f506a38c5933602c463e5185 | [
"MIT"
] | 3 | 2020-10-13T16:30:09.000Z | 2021-01-07T23:57:05.000Z | tests/test_urls.py | pkjmesra/nseta | 28cd8cede465efe9f506a38c5933602c463e5185 | [
"MIT"
] | 5 | 2020-10-12T14:57:41.000Z | 2021-12-30T11:52:34.000Z | # -*- coding: utf-8 -*-
'''
Created on Thu Nov 19 20:52:33 2015
@author: SW274998
'''
from nseta.common.commons import *
import datetime
import unittest
import time
from bs4 import BeautifulSoup
from tests import htmls
import json
import requests
import six
from nseta.common.urls import *
import nseta.common.urls as ... | 34.277372 | 178 | 0.643526 | 3,721 | 0.792376 | 0 | 0 | 0 | 0 | 0 | 0 | 903 | 0.192291 |
fc5d4359e9534912a4f50ac4cf894cf8797005d0 | 3,207 | py | Python | accounts/forms.py | cheradenine/Django-CRM | 692572ced050d314c1f880af8b4000c97cbf7440 | [
"MIT"
] | 2 | 2019-08-30T14:42:45.000Z | 2019-09-01T01:49:38.000Z | accounts/forms.py | cheradenine/Django-CRM | 692572ced050d314c1f880af8b4000c97cbf7440 | [
"MIT"
] | 7 | 2021-03-31T20:01:14.000Z | 2022-03-12T00:47:10.000Z | accounts/forms.py | gthreepwood/Django-CRM | 12de7e6c622d9d7483c210212c8b7fe3dbde2739 | [
"MIT"
] | 1 | 2021-10-09T10:03:46.000Z | 2021-10-09T10:03:46.000Z | from django import forms
from .models import Account
from common.models import Comment, Attachments
from leads.models import Lead
from contacts.models import Contact
from django.db.models import Q
class AccountForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
account_view = kwargs.pop('account'... | 41.115385 | 104 | 0.617399 | 3,001 | 0.935766 | 0 | 0 | 0 | 0 | 0 | 0 | 748 | 0.23324 |
fc5dc71b519a1377907665d2b2ecee494faf08a3 | 2,408 | py | Python | pywren/pywren_ibm_cloud/invokers.py | thetolga/pywren-ibm-cloud | ce48c158cf469b55100ab68a75d3dcd6ae9a3ffe | [
"Apache-2.0"
] | null | null | null | pywren/pywren_ibm_cloud/invokers.py | thetolga/pywren-ibm-cloud | ce48c158cf469b55100ab68a75d3dcd6ae9a3ffe | [
"Apache-2.0"
] | null | null | null | pywren/pywren_ibm_cloud/invokers.py | thetolga/pywren-ibm-cloud | ce48c158cf469b55100ab68a75d3dcd6ae9a3ffe | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2018 PyWren Team
#
# 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... | 34.898551 | 148 | 0.658638 | 1,689 | 0.701412 | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 0.388289 |
fc5f5a1b908ccb47f94225746e71f15650a97363 | 4,160 | py | Python | Projet1/Dataset/addlinkRealExample.py | Arugakente/DataScienceP1 | 94ca874ed8a76a89a3da9ecf2fe6e554700f0507 | [
"MIT"
] | null | null | null | Projet1/Dataset/addlinkRealExample.py | Arugakente/DataScienceP1 | 94ca874ed8a76a89a3da9ecf2fe6e554700f0507 | [
"MIT"
] | null | null | null | Projet1/Dataset/addlinkRealExample.py | Arugakente/DataScienceP1 | 94ca874ed8a76a89a3da9ecf2fe6e554700f0507 | [
"MIT"
] | null | null | null | import os
import random
inputDirectory = "./original"
outputDirectory = "./processed"
#probability parameters
TopLevel = 0.6
SecondLevel = 0.5
ThirdLevel = 0.4
FourAndAbove = 0.2
pickInside = 0.5
pickOutside = 0.25
topics = []
siteLevel = []
fileStructure = []
count = 0
def findPossibleIndex(toParse):
toRetu... | 33.821138 | 178 | 0.571394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.029313 |
fc61f699dd50ec363bb2a766f77f3f5058fefd54 | 13,616 | py | Python | kkcalc/kk.py | benajamin/kkcalc | fcabfba288442dd297e3bd9910062c5db2231a91 | [
"Zlib"
] | null | null | null | kkcalc/kk.py | benajamin/kkcalc | fcabfba288442dd297e3bd9910062c5db2231a91 | [
"Zlib"
] | 1 | 2021-02-09T10:18:14.000Z | 2021-02-17T08:28:58.000Z | kkcalc/kk.py | benajamin/kkcalc | fcabfba288442dd297e3bd9910062c5db2231a91 | [
"Zlib"
] | 3 | 2021-02-06T23:37:14.000Z | 2022-01-19T15:26:26.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of the Kramers-Kronig Calculator software package.
#
# Copyright (c) 2013 Benjamin Watts, Daniel J. Lauk
#
# The software is licensed under the terms of the zlib/libpng license.
# For details see LICENSE.txt
"""This module implements the Kramers-Kronig... | 47.608392 | 363 | 0.735238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,183 | 0.454098 |
fc62c8d6aa28b5a801e73fa4abc1d1fe577304dd | 1,884 | py | Python | random-images/hexxy.py | dominicschaff/random | 14a19b976a09c768ab8844b7cda237c17a92c9ae | [
"MIT"
] | null | null | null | random-images/hexxy.py | dominicschaff/random | 14a19b976a09c768ab8844b7cda237c17a92c9ae | [
"MIT"
] | null | null | null | random-images/hexxy.py | dominicschaff/random | 14a19b976a09c768ab8844b7cda237c17a92c9ae | [
"MIT"
] | null | null | null | from PIL import ImageDraw, Image
from math import cos,sin,radians
from random import randint
import sys
a = "a0A1b2B3c4C5d6D7e8E9f!F,g.G/h?H<i>I:j;J'k\"K\\l|L/m M\nn\tN@o#O$p%P^q&Q*r(R)s_S-t+T=u{U}v[V]w W x X y Y z Z"
if len(a) > 128:
print("TOO MANY CHARACTERS")
sys.exit(1)
# for i in a:
# print("%s -> %... | 28.545455 | 113 | 0.537686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 554 | 0.294055 |
fc63326e97a96ff49b392fe1692ec3ec3a6b80ad | 16,626 | py | Python | src/plugins/maimaidx.py | LonelyFantasy/Chiyuki-Bot | 16a91b96661825c2a367a12c30d6a28ad13b95a9 | [
"MIT"
] | null | null | null | src/plugins/maimaidx.py | LonelyFantasy/Chiyuki-Bot | 16a91b96661825c2a367a12c30d6a28ad13b95a9 | [
"MIT"
] | null | null | null | src/plugins/maimaidx.py | LonelyFantasy/Chiyuki-Bot | 16a91b96661825c2a367a12c30d6a28ad13b95a9 | [
"MIT"
] | null | null | null | import math
from collections import defaultdict
from typing import List, Dict, Any
from nonebot import on_command, on_message, on_notice, on_regex, get_driver
from nonebot.log import logger
from nonebot.permission import Permission
from nonebot.typing import T_State
from nonebot.adapters import Event, Bot
from nonebot... | 33.318637 | 216 | 0.566582 | 0 | 0 | 0 | 0 | 13,721 | 0.74725 | 13,916 | 0.75787 | 6,060 | 0.330029 |
fc63dea630bc5c4125015a5d1d443364d31e7cfa | 1,853 | py | Python | trace_analysis/trace_analysis/architecture/interface.py | hsgwa/trace_analysis | 16169f84e838af5202e2be8f4883dfca5bc7f592 | [
"Apache-2.0"
] | null | null | null | trace_analysis/trace_analysis/architecture/interface.py | hsgwa/trace_analysis | 16169f84e838af5202e2be8f4883dfca5bc7f592 | [
"Apache-2.0"
] | null | null | null | trace_analysis/trace_analysis/architecture/interface.py | hsgwa/trace_analysis | 16169f84e838af5202e2be8f4883dfca5bc7f592 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Research Institute of Systems Planning, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 26.471429 | 81 | 0.72531 | 967 | 0.521856 | 0 | 0 | 630 | 0.339989 | 0 | 0 | 606 | 0.327037 |
fc652ca3b217323de609509cf9bf7a86e05a1571 | 28 | py | Python | disrank/__init__.py | treehousekingcomic/disrank | 6a6ef3a2f2d4dc81bc3da8064b897dac4c773ef7 | [
"MIT"
] | 1 | 2021-05-06T14:46:46.000Z | 2021-05-06T14:46:46.000Z | disrank/__init__.py | treehousekingcomic/disrank | 6a6ef3a2f2d4dc81bc3da8064b897dac4c773ef7 | [
"MIT"
] | null | null | null | disrank/__init__.py | treehousekingcomic/disrank | 6a6ef3a2f2d4dc81bc3da8064b897dac4c773ef7 | [
"MIT"
] | null | null | null | from thkc_disrank import *
| 14 | 27 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fc66871c7a70ed30f6605efa0e99f0abf3ceaa25 | 4,854 | py | Python | layers/gin_layer.py | JakeStevens/benchmarking-gnns | a17fdf1b1d758fc65d5eeaf3726f5efa747a4081 | [
"MIT"
] | 275 | 2020-10-22T22:03:33.000Z | 2022-03-25T06:08:05.000Z | semisupervised_MNIST_CIFAR10/pre-training/layers/gin_layer.py | xgbt/GraphCL | d857849d51bb168568267e07007c0b0c8bb6d869 | [
"MIT"
] | 43 | 2020-10-30T08:28:01.000Z | 2022-03-31T16:55:12.000Z | semisupervised_MNIST_CIFAR10/pre-training/layers/gin_layer.py | xgbt/GraphCL | d857849d51bb168568267e07007c0b0c8bb6d869 | [
"MIT"
] | 70 | 2020-10-28T19:14:18.000Z | 2022-03-27T06:11:51.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl.function as fn
"""
GIN: Graph Isomorphism Networks
HOW POWERFUL ARE GRAPH NEURAL NETWORKS? (Keyulu Xu, Weihua Hu, Jure Leskovec and Stefanie Jegelka, ICLR 2019)
https://arxiv.org/pdf/1810.00826.pdf
"""
class GINLayer(nn.Module):... | 32.577181 | 124 | 0.581994 | 4,546 | 0.936547 | 0 | 0 | 0 | 0 | 0 | 0 | 1,621 | 0.333951 |
fc66cd08fbbe334f7cc1e76eb76063eb07e5b49e | 673 | py | Python | music/distance/aural/diatonic/__init__.py | jedhsu/music | dea68c4a82296cd4910e786f533b2cbf861377c3 | [
"MIT"
] | null | null | null | music/distance/aural/diatonic/__init__.py | jedhsu/music | dea68c4a82296cd4910e786f533b2cbf861377c3 | [
"MIT"
] | null | null | null | music/distance/aural/diatonic/__init__.py | jedhsu/music | dea68c4a82296cd4910e786f533b2cbf861377c3 | [
"MIT"
] | null | null | null | """
*mus . it . dia*
The simple diatonic intervals.
"""
from .second import MinorSecond
from .second import MajorSecond
from .third import MinorThird
from .third import MajorThird
from .fourth import PerfectFourth
from .fifth import Tritone
from .fifth import PerfectFifth
from .sixth import MinorSixth
from .s... | 18.694444 | 33 | 0.708767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.315007 |
fc6780fb69ebe4416f273d6821ceb9f2cb3226e8 | 760 | py | Python | selenium_tests/test_functions.py | AriTheGuitarMan/AriTheGuitarMan.github.io | 8348ad0c47e48477560e7e40ec7eac8bca6fcdfa | [
"MIT"
] | null | null | null | selenium_tests/test_functions.py | AriTheGuitarMan/AriTheGuitarMan.github.io | 8348ad0c47e48477560e7e40ec7eac8bca6fcdfa | [
"MIT"
] | null | null | null | selenium_tests/test_functions.py | AriTheGuitarMan/AriTheGuitarMan.github.io | 8348ad0c47e48477560e7e40ec7eac8bca6fcdfa | [
"MIT"
] | null | null | null | # this file holds some common testing functions
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
depurl = "localhost:3000"
def getElement(driver, xpath):
return WebDriverWait(driver, 10).until(EC.... | 33.043478 | 93 | 0.727632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 0.177632 |
fc68e0edf30588586dedbfe1358fdf97ab01598d | 4,783 | py | Python | papirus_renderer.py | ryuchihoon/WeatherStation | e3fd210939a961bc1724197f3885964cb4ae5a28 | [
"Apache-2.0"
] | null | null | null | papirus_renderer.py | ryuchihoon/WeatherStation | e3fd210939a961bc1724197f3885964cb4ae5a28 | [
"Apache-2.0"
] | null | null | null | papirus_renderer.py | ryuchihoon/WeatherStation | e3fd210939a961bc1724197f3885964cb4ae5a28 | [
"Apache-2.0"
] | null | null | null | #-- coding: utf-8 --
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import os
import time
import collections
from PIL import Image, ImageOps, ImageDraw, ImageFont
code_2_icono = collections.defaultdict(lambda : '38')
kor_2_eng = collections.defaultdict(lambda : 'UNKNOWN')
code_2_icono['SKY_O00'] = ['38']
... | 32.986207 | 127 | 0.615931 | 2,941 | 0.612326 | 0 | 0 | 0 | 0 | 0 | 0 | 867 | 0.180512 |
fc69e4e9cacf2317d6b062809fbe0cb9a22ea2b1 | 72 | py | Python | hydrobox/discharge/__init__.py | VForWaTer/hydrobox | ae7d10bf5aa48bf7daf3d1094e6bb66f0a7ce96b | [
"MIT"
] | 4 | 2020-10-08T15:31:36.000Z | 2021-06-25T00:46:40.000Z | hydrobox/discharge/__init__.py | joergmeyer-kit/hydrobox | af75a5ba87147e00656435c170535c69fc3298a8 | [
"MIT"
] | 5 | 2020-05-12T08:45:18.000Z | 2021-05-20T07:18:47.000Z | hydrobox/discharge/__init__.py | joergmeyer-kit/hydrobox | af75a5ba87147e00656435c170535c69fc3298a8 | [
"MIT"
] | 3 | 2020-07-27T07:16:14.000Z | 2021-04-28T21:57:48.000Z | from .catchment import regime, flow_duration_curve
from . import indices | 36 | 50 | 0.847222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fc69e76506c689aa4c8cc54b37cd338453f7483a | 1,256 | py | Python | scripts/convert_keras2onnx.py | ecmwf-lab/infero | 4fec006175af48cd0313b2f89722c01636e961db | [
"Apache-2.0"
] | 8 | 2021-12-20T06:24:16.000Z | 2022-02-17T15:21:55.000Z | scripts/convert_keras2onnx.py | ecmwf-projects/infero | 4c229a16ce75a249c83cbf43e0c953a7a42f2f83 | [
"Apache-2.0"
] | null | null | null | scripts/convert_keras2onnx.py | ecmwf-projects/infero | 4c229a16ce75a249c83cbf43e0c953a7a42f2f83 | [
"Apache-2.0"
] | 1 | 2021-10-04T10:14:23.000Z | 2021-10-04T10:14:23.000Z | #
# (C) Copyright 1996- ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernme... | 30.634146 | 95 | 0.72293 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 701 | 0.558121 |
fc6ae61e76507e8c85be28c293840912ca2612a4 | 7,683 | py | Python | src/lava/lib/dl/slayer/utils/assistant.py | timcheck/lava-dl | e680722071129fde952ea0d744984aa2a038797a | [
"BSD-3-Clause"
] | 37 | 2021-09-30T16:47:15.000Z | 2022-03-07T22:29:21.000Z | src/lava/lib/dl/slayer/utils/assistant.py | timcheck/lava-dl | e680722071129fde952ea0d744984aa2a038797a | [
"BSD-3-Clause"
] | 36 | 2021-11-04T16:54:55.000Z | 2022-03-31T02:26:29.000Z | src/lava/lib/dl/slayer/utils/assistant.py | timcheck/lava-dl | e680722071129fde952ea0d744984aa2a038797a | [
"BSD-3-Clause"
] | 20 | 2021-10-29T22:55:58.000Z | 2022-03-22T17:27:16.000Z | # Copyright (C) 2022 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause
"""Assistant utility for automatically load network from network
description."""
import torch
class Assistant:
"""Assistant that bundles training, validation and testing workflow.
Parameters
----------
net : torch.nn.Mo... | 29.436782 | 78 | 0.521281 | 7,504 | 0.976702 | 0 | 0 | 0 | 0 | 0 | 0 | 3,010 | 0.391774 |
fc6bbad5b323947c5f4946373831830060872620 | 5,961 | py | Python | lstm-synthetic-wave-anomaly-detect.py | cse-icon-dataAnalytics/lstm-anomaly-detect | bcfb01db383698acbd5692f1a76a5f20ec3629a8 | [
"MIT"
] | 178 | 2016-03-31T05:32:07.000Z | 2022-03-26T02:36:35.000Z | lstm-synthetic-wave-anomaly-detect.py | rob-med/lstm-anomaly-detect | bcfb01db383698acbd5692f1a76a5f20ec3629a8 | [
"MIT"
] | 4 | 2016-11-01T01:51:06.000Z | 2018-04-24T13:42:33.000Z | lstm-synthetic-wave-anomaly-detect.py | rob-med/lstm-anomaly-detect | bcfb01db383698acbd5692f1a76a5f20ec3629a8 | [
"MIT"
] | 106 | 2016-03-31T05:32:11.000Z | 2021-08-28T09:49:16.000Z | """ Inspired by example from
https://github.com/Vict0rSch/deep_learning/tree/master/keras/recurrent
Uses the TensorFlow backend
The basic idea is to detect anomalies in a time-series.
"""
import matplotlib.pyplot as plt
import numpy as np
import time
from keras.layers.core import Dense, Activation, Dropout
from keras.l... | 30.258883 | 110 | 0.631102 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,551 | 0.260191 |
fc6bfc96896fcc886f4088ddc53f2aa20f638760 | 1,309 | py | Python | hpc-historias-clinicas/historias/migrations/0007_auto_20150425_1459.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/historias/migrations/0007_auto_20150425_1459.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | hpc-historias-clinicas/historias/migrations/0007_auto_20150425_1459.py | btenaglia/hpc-historias-clinicas | 649d8660381381b1c591667760c122d73071d5ec | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
('historias', '0006_auto_20150413_0001'),
]
operations = [
migrations.AlterField(
model_name='hist... | 38.5 | 290 | 0.593583 | 1,184 | 0.904507 | 0 | 0 | 0 | 0 | 0 | 0 | 371 | 0.283422 |
fc6d62eed45d350cb72c202ceedfb98394117cd4 | 315 | py | Python | venv/Lib/site-packages/har2case/__about__.py | Verckolf/MyInterfaceTest | e05674bd673a6a43cfb33f7cb4318886ba92a05c | [
"MIT"
] | null | null | null | venv/Lib/site-packages/har2case/__about__.py | Verckolf/MyInterfaceTest | e05674bd673a6a43cfb33f7cb4318886ba92a05c | [
"MIT"
] | null | null | null | venv/Lib/site-packages/har2case/__about__.py | Verckolf/MyInterfaceTest | e05674bd673a6a43cfb33f7cb4318886ba92a05c | [
"MIT"
] | null | null | null | __title__ = 'har2case'
__description__ = 'Convert HAR(HTTP Archive) to YAML/JSON testcases for HttpRunner.'
__url__ = 'https://github.com/HttpRunner/har2case'
__version__ = '0.2.0'
__author__ = 'debugtalk'
__author_email__ = '[email protected]'
__license__ = 'Apache-2.0'
__copyright__ = 'Copyright 2017 debugtalk' | 39.375 | 84 | 0.771429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.609524 |
fc6eb694558519bbe4bb770c6ebebf2c2317f744 | 2,160 | py | Python | app_id_utils.py | woctezuma/match-steam-banners | dff1bc2ddf35a37bcdea46a220f5d0257d47e017 | [
"MIT"
] | null | null | null | app_id_utils.py | woctezuma/match-steam-banners | dff1bc2ddf35a37bcdea46a220f5d0257d47e017 | [
"MIT"
] | 10 | 2021-05-01T19:57:06.000Z | 2022-03-12T00:54:04.000Z | app_id_utils.py | woctezuma/match-steam-banners | dff1bc2ddf35a37bcdea46a220f5d0257d47e017 | [
"MIT"
] | null | null | null | import os
from pathlib import Path
from data_utils import get_data_path, get_image_data_path, get_image_extension
def app_id_to_image_filename(app_id, is_horizontal_banner=False):
image_data_path = get_image_data_path(is_horizontal_banner)
image_filename = image_data_path + str(app_id) + get_image_extension... | 29.589041 | 115 | 0.747222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.123611 |
fc6f65558ddc1ad343876953a1a42d3ab2c832a9 | 348 | py | Python | upload.py | sjm446/aMAZEd | 38789f9898097991b19e686fd76ef4abd5bfe94c | [
"MIT"
] | null | null | null | upload.py | sjm446/aMAZEd | 38789f9898097991b19e686fd76ef4abd5bfe94c | [
"MIT"
] | null | null | null | upload.py | sjm446/aMAZEd | 38789f9898097991b19e686fd76ef4abd5bfe94c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import boto3
import random
import os
BUCKET=os.environ.get('EXPORT_S3_BUCKET_URL')
if (BUCKET != None):
s3 = boto3.client('s3')
with open("maze.txt", "rb") as f:
s3.upload_fileobj(f, BUCKET, "maze"+str(random.randrange(100000))+".txt")
else:
print("EXPORT_S3_BUCKET_URL was not ... | 29 | 81 | 0.692529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.37069 |
fc709a454475435a2a06bba2371531a53e2d11c0 | 2,790 | py | Python | zerver/management/commands/list_realms.py | rtzll/zulip | b831df8f7fc2f5b89ec998266901ac491d52a7fc | [
"Apache-2.0"
] | null | null | null | zerver/management/commands/list_realms.py | rtzll/zulip | b831df8f7fc2f5b89ec998266901ac491d52a7fc | [
"Apache-2.0"
] | null | null | null | zerver/management/commands/list_realms.py | rtzll/zulip | b831df8f7fc2f5b89ec998266901ac491d52a7fc | [
"Apache-2.0"
] | 1 | 2019-10-14T23:36:14.000Z | 2019-10-14T23:36:14.000Z |
import sys
from typing import Any
from argparse import ArgumentParser
from zerver.models import Realm
from zerver.lib.management import ZulipBaseCommand
class Command(ZulipBaseCommand):
help = """List realms in the server and it's configuration settings(optional).
Usage examples:
./manage.py list_realms
./man... | 37.702703 | 99 | 0.557348 | 2,632 | 0.943369 | 0 | 0 | 0 | 0 | 0 | 0 | 682 | 0.244444 |
fc7137abb720c86400bb993740cb9e14c54237f5 | 8,892 | py | Python | tests/integration/ec2/test_connection.py | bopopescu/debpkg_python-boto | 06f9b6f3693ba1933be8214da69cebcd5212cd97 | [
"MIT"
] | 15 | 2015-03-25T05:24:11.000Z | 2021-12-18T04:24:06.000Z | tests/integration/ec2/test_connection.py | bopopescu/debpkg_python-boto | 06f9b6f3693ba1933be8214da69cebcd5212cd97 | [
"MIT"
] | null | null | null | tests/integration/ec2/test_connection.py | bopopescu/debpkg_python-boto | 06f9b6f3693ba1933be8214da69cebcd5212cd97 | [
"MIT"
] | 10 | 2015-04-26T17:56:37.000Z | 2020-09-24T14:01:53.000Z | # Copyright (c) 2006-2010 Mitch Garnaat http://garnaat.org/
# Copyright (c) 2009, Eucalyptus Systems, Inc.
# All rights reserved.
#
# 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 res... | 36.743802 | 77 | 0.587607 | 7,481 | 0.841318 | 0 | 0 | 946 | 0.106388 | 0 | 0 | 3,101 | 0.34874 |
fc719b76ab94dd3be6cc776d78a4aa8bbc400d47 | 8,761 | py | Python | docusign_esign/models/conditional_recipient_rule_filter.py | joekohlsdorf/docusign-esign-python-client | 40407544f79c88716d36fabf36f65c3ef1a5c3ba | [
"MIT"
] | 58 | 2017-10-18T23:06:57.000Z | 2021-04-15T23:14:58.000Z | docusign_esign/models/conditional_recipient_rule_filter.py | joekohlsdorf/docusign-esign-python-client | 40407544f79c88716d36fabf36f65c3ef1a5c3ba | [
"MIT"
] | 49 | 2017-10-27T05:54:09.000Z | 2021-04-29T22:06:17.000Z | docusign_esign/models/conditional_recipient_rule_filter.py | joekohlsdorf/docusign-esign-python-client | 40407544f79c88716d36fabf36f65c3ef1a5c3ba | [
"MIT"
] | 49 | 2017-09-16T07:23:41.000Z | 2021-05-07T20:21:20.000Z | # coding: utf-8
"""
DocuSign REST API
The DocuSign REST API provides you with a powerful, convenient, and simple Web services API for interacting with DocuSign. # noqa: E501
OpenAPI spec version: v2.1
Contact: [email protected]
Generated by: https://github.com/swagger-api/swagger-codegen.gi... | 30.526132 | 140 | 0.604155 | 8,317 | 0.949321 | 0 | 0 | 4,629 | 0.528364 | 0 | 0 | 4,944 | 0.564319 |
fc72be3f56a4f14c061f7d67ae504148f309762b | 407 | py | Python | conman/routes/apps.py | meshy/django-conman | c739d09250d02d99068358e925ed8298a2a37a75 | [
"BSD-2-Clause"
] | null | null | null | conman/routes/apps.py | meshy/django-conman | c739d09250d02d99068358e925ed8298a2a37a75 | [
"BSD-2-Clause"
] | 81 | 2015-07-27T23:21:49.000Z | 2018-05-21T22:06:09.000Z | conman/routes/apps.py | meshy/django-conman | c739d09250d02d99068358e925ed8298a2a37a75 | [
"BSD-2-Clause"
] | 2 | 2015-10-06T09:18:06.000Z | 2017-03-17T08:51:56.000Z | from django.apps import AppConfig
from django.core.checks import register
from . import checks
class RouteConfig(AppConfig):
"""The AppConfig for conman routes."""
name = 'conman.routes'
def ready(self):
"""Register checks for conman routes."""
register(checks.polymorphic_installed)
... | 25.4375 | 48 | 0.712531 | 308 | 0.756757 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.228501 |
fc72c71783ded10cb6bea92ec124528a890dca34 | 627 | py | Python | Other/transactionlog entries since timestamp.py | DJHig/TM1py-samples | da4050380447472a02e2a107a2c5be79ac284d0a | [
"MIT"
] | 1 | 2019-05-30T10:10:20.000Z | 2019-05-30T10:10:20.000Z | Other/transactionlog entries since timestamp.py | DJHig/TM1py-samples | da4050380447472a02e2a107a2c5be79ac284d0a | [
"MIT"
] | null | null | null | Other/transactionlog entries since timestamp.py | DJHig/TM1py-samples | da4050380447472a02e2a107a2c5be79ac284d0a | [
"MIT"
] | 1 | 2017-09-01T03:35:18.000Z | 2017-09-01T03:35:18.000Z | """
Get all TM1 transactions for all cubes starting to a specific date.
"""
import configparser
config = configparser.ConfigParser()
config.read('..\config.ini')
from datetime import datetime
from TM1py.Services import TM1Service
with TM1Service(**config['tm1srv01']) as tm1:
# Timestamp for Message-Log parsin... | 24.115385 | 81 | 0.716108 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.336523 |
fc73faf5f8cb49244c505ccd988f122eb6b59c66 | 6,019 | py | Python | src/patteRNA/Dataset.py | AviranLab/patteRNA | 88b900844016717a71b6ec8e4f2d10d8888600ce | [
"BSD-2-Clause"
] | 12 | 2018-03-02T21:48:46.000Z | 2022-01-31T02:58:59.000Z | src/patteRNA/Dataset.py | AviranLab/patteRNA | 88b900844016717a71b6ec8e4f2d10d8888600ce | [
"BSD-2-Clause"
] | 2 | 2018-07-19T01:11:11.000Z | 2019-04-08T23:54:08.000Z | src/patteRNA/Dataset.py | AviranLab/patteRNA | 88b900844016717a71b6ec8e4f2d10d8888600ce | [
"BSD-2-Clause"
] | 5 | 2018-03-06T18:13:36.000Z | 2021-01-08T20:54:28.000Z | import logging
import numpy as np
from scipy.stats import entropy
from patteRNA.Transcript import Transcript
from patteRNA import filelib
logger = logging.getLogger(__name__)
class Dataset:
def __init__(self, fp_observations, fp_sequences=None, fp_references=None):
self.fp_obs = fp_observations
s... | 39.339869 | 113 | 0.6104 | 5,840 | 0.970261 | 0 | 0 | 0 | 0 | 0 | 0 | 965 | 0.160326 |
fc74cac1c4d460520f828712a631b873e6f7c8d7 | 3,118 | py | Python | src/Simulation/developer_0/main.py | GYRY-NEU/CS7610-Experiments | 3731b45c4a9cba2a1d7e44d37f28d1046a38de47 | [
"MIT"
] | null | null | null | src/Simulation/developer_0/main.py | GYRY-NEU/CS7610-Experiments | 3731b45c4a9cba2a1d7e44d37f28d1046a38de47 | [
"MIT"
] | 1 | 2021-12-02T20:45:02.000Z | 2021-12-02T20:45:02.000Z | src/Simulation/developer_0/main.py | GYRY-NEU/Simulation | 3731b45c4a9cba2a1d7e44d37f28d1046a38de47 | [
"MIT"
] | null | null | null | import library
import json
@library.export
def init(args):
model = [[9.2, 0.21, 0.21],
[8.2, 0.22, 0.21],
[7.2, 1.21, 2.41],
[1.2, 2.21, 0.29]]
library.put("model", model)
ROUND = 0
library.put("ROUND", ROUND)
alpha = 0.2
library.put("alpha", alpha)
@libr... | 29.695238 | 109 | 0.645606 | 0 | 0 | 0 | 0 | 1,237 | 0.396729 | 0 | 0 | 1,080 | 0.346376 |
fc75b91ed00a53eb686038762f01dc7958ac5d5b | 172 | py | Python | molecule_ignite/test/unit/test_driver.py | ragingpastry/molecule-ignite | aaf005cabba9a8c933191458cf8553da9bac581d | [
"MIT"
] | 17 | 2020-02-19T08:16:49.000Z | 2022-02-05T08:16:42.000Z | molecule_ignite/test/unit/test_driver.py | ragingpastry/molecule-ignite | aaf005cabba9a8c933191458cf8553da9bac581d | [
"MIT"
] | 15 | 2020-06-27T10:16:44.000Z | 2022-01-04T10:37:54.000Z | molecule_ignite/test/unit/test_driver.py | ragingpastry/molecule-ignite | aaf005cabba9a8c933191458cf8553da9bac581d | [
"MIT"
] | 11 | 2020-02-18T16:24:29.000Z | 2022-03-28T11:44:51.000Z | from molecule import api
def test_driver_is_detected():
driver_name = __name__.split(".")[0].split("_")[-1]
assert driver_name in [str(d) for d in api.drivers()]
| 24.571429 | 57 | 0.686047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.034884 |
fc7738cdaacc95969a1834885a266a49c73d4c6b | 12,361 | py | Python | coffeine/pipelines.py | dengemann/meegpowreg | e9cc8f2372f8b8ef4b372bfea113ed0b9646cb39 | [
"MIT"
] | 6 | 2021-07-19T12:17:59.000Z | 2021-08-09T15:50:18.000Z | coffeine/pipelines.py | dengemann/meegpowreg | e9cc8f2372f8b8ef4b372bfea113ed0b9646cb39 | [
"MIT"
] | 23 | 2021-04-16T21:41:36.000Z | 2021-07-13T10:08:47.000Z | coffeine/pipelines.py | dengemann/meegpowreg | e9cc8f2372f8b8ef4b372bfea113ed0b9646cb39 | [
"MIT"
] | 5 | 2021-04-15T15:28:51.000Z | 2021-06-28T21:17:11.000Z | import numpy as np
from coffeine.covariance_transformers import (
Diag,
LogDiag,
ExpandFeatures,
Riemann,
RiemannSnp,
NaiveVec)
from coffeine.spatial_filters import (
ProjIdentitySpace,
ProjCommonSpace,
ProjLWSpace,
ProjRandomSpace,
ProjSPoCSpace)
from sklearn.compose impor... | 37.685976 | 77 | 0.659574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,775 | 0.628994 |
fc78a988ef549d86a9021df34f1480ea70a43721 | 11,516 | py | Python | submissions/Chouard/mygames.py | dysomni/aima-python | c67104e50007ec5ac2a9aa37f0cb972cb6315528 | [
"MIT"
] | null | null | null | submissions/Chouard/mygames.py | dysomni/aima-python | c67104e50007ec5ac2a9aa37f0cb972cb6315528 | [
"MIT"
] | null | null | null | submissions/Chouard/mygames.py | dysomni/aima-python | c67104e50007ec5ac2a9aa37f0cb972cb6315528 | [
"MIT"
] | 1 | 2018-08-23T19:27:23.000Z | 2018-08-23T19:27:23.000Z | from games import Game
from math import nan, isnan
from queue import PriorityQueue
from copy import deepcopy
from utils import isnumber
from grading.util import print_table
class GameState:
def __init__(self, to_move, position, board, label=None):
self.to_move = to_move
self.position = position
... | 27.951456 | 133 | 0.500174 | 3,860 | 0.335186 | 0 | 0 | 0 | 0 | 0 | 0 | 2,015 | 0.174974 |
fc798568d1c4c7d74cc7db30deace979155e8ddb | 4,797 | py | Python | discordbot/stocks/options/opt_chain.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | 1 | 2022-02-18T04:02:52.000Z | 2022-02-18T04:02:52.000Z | discordbot/stocks/options/opt_chain.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | null | null | null | discordbot/stocks/options/opt_chain.py | minhhoang1023/GamestonkTerminal | 195dc19b491052df080178c0cc6a9d535a91a704 | [
"MIT"
] | null | null | null | import os
import df2img
import disnake
import numpy as np
import pandas as pd
from menus.menu import Menu
from PIL import Image
import discordbot.config_discordbot as cfg
from discordbot.config_discordbot import gst_imgur, logger
from discordbot.helpers import autocrop_image
from gamestonk_terminal.stocks.options imp... | 29.429448 | 94 | 0.518449 | 0 | 0 | 0 | 0 | 0 | 0 | 4,458 | 0.92875 | 659 | 0.137292 |
fc7a203231a6818121284acfef4c18f0b9192863 | 2,312 | py | Python | scripts/get_lenderprofit.py | xujiahuayz/premfin | 0e90d876ef7c9ef4f3da7d4842b8ec5ae9ac7e68 | [
"MIT"
] | 4 | 2021-05-03T16:03:24.000Z | 2022-02-17T16:08:49.000Z | scripts/get_lenderprofit.py | xujiahuayz/premfin | 0e90d876ef7c9ef4f3da7d4842b8ec5ae9ac7e68 | [
"MIT"
] | null | null | null | scripts/get_lenderprofit.py | xujiahuayz/premfin | 0e90d876ef7c9ef4f3da7d4842b8ec5ae9ac7e68 | [
"MIT"
] | 1 | 2021-06-30T11:27:56.000Z | 2021-06-30T11:27:56.000Z | #%% import packages
import numpy as np
import pandas as pd
import multiprocessing
from time import time
import json
from premiumFinance.constants import (
MORTALITY_TABLE_CLEANED_PATH,
PROCESSED_PROFITABILITY_PATH,
)
from premiumFinance.financing import calculate_lender_profit, yield_curve
mortality_experien... | 26.574713 | 78 | 0.675606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.105536 |
fc7acbb33a6b536b7d8fb8f0b3208c55dac034b1 | 5,700 | py | Python | dashboard/dashboard/common/layered_cache.py | BearerPipelineTest/catapult | 3800a67cd916200046a50748893bbd0dcf3d7f4a | [
"BSD-3-Clause"
] | null | null | null | dashboard/dashboard/common/layered_cache.py | BearerPipelineTest/catapult | 3800a67cd916200046a50748893bbd0dcf3d7f4a | [
"BSD-3-Clause"
] | 1 | 2022-01-12T14:28:55.000Z | 2022-01-12T14:28:55.000Z | dashboard/dashboard/common/layered_cache.py | atuchin-m/catapult | 108ea3e2ec108e68216b1250a3d79cc642600294 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Caches processed query results in memcache and datastore.
Memcache is not very reliable for the perf dashboard. Prometheus team explained
that memcache is... | 35.403727 | 80 | 0.759649 | 607 | 0.106491 | 536 | 0.094035 | 1,060 | 0.185965 | 0 | 0 | 2,859 | 0.501579 |
fc7af78333f9477d4091f8e1379313d34cf45c32 | 2,241 | py | Python | hypergbm/tests/cuml_/run_experiment_cuml.py | BigAndSweet/HyperGBM | f3bc4e0d877b82a264d35158f9bc974f43a2a5ee | [
"Apache-2.0"
] | null | null | null | hypergbm/tests/cuml_/run_experiment_cuml.py | BigAndSweet/HyperGBM | f3bc4e0d877b82a264d35158f9bc974f43a2a5ee | [
"Apache-2.0"
] | null | null | null | hypergbm/tests/cuml_/run_experiment_cuml.py | BigAndSweet/HyperGBM | f3bc4e0d877b82a264d35158f9bc974f43a2a5ee | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
"""
"""
import cudf
from hypergbm import make_experiment
from hypernets.tabular import get_tool_box
from hypernets.tabular.datasets import dsutils
def main(target='y', dtype=None, max_trials=3, drift_detection=False, clear_cache=True, **kwargs):
tb = get_tool_box(cudf.DataFrame)
asse... | 35.571429 | 109 | 0.630076 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 675 | 0.301205 |
fc7dad2207dc0af9eee6f35c716072b33850e1f6 | 252 | py | Python | Inserter.py | DarthSpector/Poster-Adder | 97a86338987dd8cbcdf56414f53932c0370dcfc2 | [
"MIT"
] | null | null | null | Inserter.py | DarthSpector/Poster-Adder | 97a86338987dd8cbcdf56414f53932c0370dcfc2 | [
"MIT"
] | null | null | null | Inserter.py | DarthSpector/Poster-Adder | 97a86338987dd8cbcdf56414f53932c0370dcfc2 | [
"MIT"
] | null | null | null | def pictureInserter(og,address,list):
j=0
for i in og:
file1 = open(address+'/'+i, "a")
x="\ncover::https://image.tmdb.org/t/p/original/"+list[j]
file1.writelines(x)
file1.close()
j=j+1
| 25.2 | 66 | 0.503968 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.210317 |