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0ed1e225e00c574cabde72e06f429759b38ea0a3 | 1,796 | py | Python | example-plugins/emorand_plugin.py | gsi-upm/senpy | c5a2cf23cb5ccb5ba96ae11aa1dcbb3d902c6218 | [
"Apache-2.0"
] | 74 | 2015-02-26T18:27:00.000Z | 2022-02-17T17:14:43.000Z | example-plugins/emorand_plugin.py | gsi-upm/senpy | c5a2cf23cb5ccb5ba96ae11aa1dcbb3d902c6218 | [
"Apache-2.0"
] | 39 | 2015-02-26T18:26:45.000Z | 2018-05-14T09:42:59.000Z | example-plugins/emorand_plugin.py | gsi-upm/senpy | c5a2cf23cb5ccb5ba96ae11aa1dcbb3d902c6218 | [
"Apache-2.0"
] | 24 | 2016-03-10T11:52:55.000Z | 2020-11-27T06:38:37.000Z | #
# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | 35.92 | 95 | 0.672606 | #
# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | 0 | 0 | 0 | 1,021 | 0 | 0 | 0 | 40 | 91 |
9f657525382f71d187facef0cf2bd508ed5ad88c | 1,451 | py | Python | setup.py | tyler-a-cox/recipe-parsing | fa883f66a39063cf72912527628b082cda455e76 | [
"MIT"
] | null | null | null | setup.py | tyler-a-cox/recipe-parsing | fa883f66a39063cf72912527628b082cda455e76 | [
"MIT"
] | null | null | null | setup.py | tyler-a-cox/recipe-parsing | fa883f66a39063cf72912527628b082cda455e76 | [
"MIT"
] | null | null | null | import os
from setuptools import setup
about = {}
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(os.path.dirname(__file__), "README.md")).read()
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
extra_files = package_files("recipe_parser/ingredient_parser/... | 32.244444 | 78 | 0.68091 | import os
import glob
from setuptools import find_packages, setup
about = {}
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(os.path.dirname(__file__), "README.md")).read()
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
def package_files(directory):
p... | 0 | 0 | 0 | 0 | 0 | 198 | 0 | 5 | 45 |
356fdb728a10942cacde6ea987542938dbd25a5b | 2,906 | py | Python | chorus/rdkit.py | mojaie/chorus | 63cbe4764ab2498b7b1da11a628bec01d03ca012 | [
"MIT"
] | 5 | 2018-03-23T04:56:17.000Z | 2022-03-04T15:54:39.000Z | chorus/rdkit.py | mojaie/chorus | 63cbe4764ab2498b7b1da11a628bec01d03ca012 | [
"MIT"
] | 4 | 2017-09-08T02:08:12.000Z | 2018-06-12T00:55:18.000Z | chorus/rdkit.py | mojaie/chorus | 63cbe4764ab2498b7b1da11a628bec01d03ca012 | [
"MIT"
] | 6 | 2018-01-22T22:21:20.000Z | 2021-03-25T04:47:11.000Z | #
# (C) 2014-2017 Seiji Matsuoka
# Licensed under the MIT License (MIT)
# http://opensource.org/licenses/MIT
#
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit import DataStructs
from chorus.model.graphmol import Compound
from chorus.model.atom import Atom, atom_number
from chorus.model.bond import Bo... | 30.270833 | 75 | 0.659326 | #
# (C) 2014-2017 Seiji Matsuoka
# Licensed under the MIT License (MIT)
# http://opensource.org/licenses/MIT
#
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem import rdFMCS
from rdkit import DataStructs
from chorus.model.graphmol import Compound
from chorus.model.atom import Atom, atom_number
fr... | 0 | 0 | 0 | 0 | 0 | 673 | 0 | 8 | 68 |
c44dccf155b9b70e34f552e0f9ae4ca324dce910 | 1,617 | py | Python | shooting method.py | Cecilia-ChenJY/transition-pathway | 498df12fc022b036a3b45540513bccf519dcf2c1 | [
"MIT"
] | null | null | null | shooting method.py | Cecilia-ChenJY/transition-pathway | 498df12fc022b036a3b45540513bccf519dcf2c1 | [
"MIT"
] | null | null | null | shooting method.py | Cecilia-ChenJY/transition-pathway | 498df12fc022b036a3b45540513bccf519dcf2c1 | [
"MIT"
] | null | null | null | # %%
import tensorflow as tf
#%%
model = tf.keras.models.Sequential([
tf.keras.Input(shape=(2,)),
tf.keras.layers.Dense(80, activation='sigmoid'),
tf.keras.layers.Dense(2)
])
# %%
# x_train=tf.reshape(tf.constant([6.1723,2.3504,7.3475,3.7095,8.5227,3.8935,9.6979,2.9022,10.8731,4.2614,12.0483,4.4453,13.2235,3.45... | 23.1 | 158 | 0.635127 | # %%
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.python.keras.layers.core import Dropout
#%%
model = tf.keras.models.Sequential([
tf.keras.Input(shape=(2,)),
tf.keras.layers.Dense(80, activation='sigmoid'),
tf.keras.layers.Dense(2)
])
# %%
# x_train=t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 66 |
8d810281c058b88b280cf98d189172065a5be063 | 566 | py | Python | sl_cutscenes/lighting.py | AIS-Bonn/sl-cutscenes | d50128b86a9c808cbe5943e737a4974f0a8d3982 | [
"MIT"
] | 2 | 2022-03-25T08:24:10.000Z | 2022-03-29T09:06:47.000Z | sl_cutscenes/lighting.py | AIS-Bonn/sl-scenes | d50128b86a9c808cbe5943e737a4974f0a8d3982 | [
"MIT"
] | null | null | null | sl_cutscenes/lighting.py | AIS-Bonn/sl-scenes | d50128b86a9c808cbe5943e737a4974f0a8d3982 | [
"MIT"
] | null | null | null | import random
import stillleben as sl
import sl_cutscenes.constants as CONSTANTS
def get_lightmap(map_name="random"):
"""
Fetches the right lightmap given command line argument.
"""
assert map_name in ["default", "random"] + list(CONSTANTS.ALL_LIGHTMAPS.keys()), f"Unknown lightmap {map_name}..."
... | 29.789474 | 118 | 0.701413 | import random
import stillleben as sl
import sl_cutscenes.constants as CONSTANTS
def get_lightmap(map_name="random"):
"""
Fetches the right lightmap given command line argument.
"""
assert map_name in ["default", "random"] + list(CONSTANTS.ALL_LIGHTMAPS.keys()), f"Unknown lightmap {map_name}..."
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3a9028379ee755f1eaf5837d3fe07532341bdfc1 | 236 | py | Python | imugi/compiler/types/__init__.py | hahnlee/imugi | 4095f5ba7fb475ec4389798c247ac540cff2c983 | [
"BSD-2-Clause"
] | 5 | 2018-09-09T14:48:13.000Z | 2021-03-01T01:58:20.000Z | imugi/compiler/types/__init__.py | me2nuk/imugi | 4095f5ba7fb475ec4389798c247ac540cff2c983 | [
"BSD-2-Clause"
] | null | null | null | imugi/compiler/types/__init__.py | me2nuk/imugi | 4095f5ba7fb475ec4389798c247ac540cff2c983 | [
"BSD-2-Clause"
] | 3 | 2021-05-24T16:26:21.000Z | 2022-02-10T13:52:52.000Z | from .llvm_type import (char_pointer, i8, i32, i64)
from .objc import (objc_ivar, objc_ivar_list)
__all__ = [
'char_pointer',
'i8',
'i32',
'i64',
'objc_ivar',
'objc_ivar_list',
]
| 10.727273 | 24 | 0.533898 | from .llvm_type import (
char_pointer,
i8,
i32,
i64,
)
from .objc import (
objc_ivar,
objc_ivar_list,
)
__all__ = [
'char_pointer',
'i8',
'i32',
'i64',
'objc_ivar',
'objc_ivar_list',
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 |
c60aa4271fbb35402de9018343cf37b5cdd7f47b | 926 | py | Python | scraper/tests.py | bartromgens/waarnemingkaart | 3889d429a1c10586115b045a17be3e9c98931613 | [
"MIT"
] | null | null | null | scraper/tests.py | bartromgens/waarnemingkaart | 3889d429a1c10586115b045a17be3e9c98931613 | [
"MIT"
] | 8 | 2020-01-01T16:11:19.000Z | 2021-12-13T19:42:07.000Z | scraper/tests.py | bartromgens/waarnemingkaart | 3889d429a1c10586115b045a17be3e9c98931613 | [
"MIT"
] | 1 | 2020-11-15T23:06:43.000Z | 2020-11-15T23:06:43.000Z | import pprint
pp = pprint.PrettyPrinter(indent=4)
| 27.235294 | 93 | 0.676026 | import datetime
import json
import pprint
from django.test import TestCase
from scraper import scraper
pp = pprint.PrettyPrinter(indent=4)
class TestObservationListScraper(TestCase):
def test_scrape_observations(self):
date = datetime.date(year=2017, month=9, day=1)
max_n = 2
observati... | 0 | 0 | 0 | 736 | 0 | 0 | 0 | 1 | 136 |
878a3b5f99b514948fe12ecc35b54f5e10ee7016 | 2,881 | py | Python | ocr_handler_factory.py | weenerberg/guildtracker | 1957018cdaa93678b6591248905804dc4d892d04 | [
"MIT"
] | null | null | null | ocr_handler_factory.py | weenerberg/guildtracker | 1957018cdaa93678b6591248905804dc4d892d04 | [
"MIT"
] | null | null | null | ocr_handler_factory.py | weenerberg/guildtracker | 1957018cdaa93678b6591248905804dc4d892d04 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 64.022222 | 236 | 0.816383 | import logging
from sith_score_handler import SithScoreHandler
from raidtickets_lifetime_handler import RaidticketsLifetimeHandler
from guildtickets_lifetime_handler import GuildticketsLifetimeHandler
from territory_battle_total_score_handler import TerritoryBattleTotalScoreHandler
from territory_battle_total_combat_wa... | 0 | 0 | 0 | 2,326 | 0 | 0 | 0 | 324 | 177 |
acd013c99d99968db3e82b68c59e53f87908a78f | 2,204 | py | Python | DallasPlayers/repeat_outcome_player.py | fras2560/Competition | b4671573f547a82a159c3f2e98686a9855491892 | [
"MIT"
] | null | null | null | DallasPlayers/repeat_outcome_player.py | fras2560/Competition | b4671573f547a82a159c3f2e98686a9855491892 | [
"MIT"
] | null | null | null | DallasPlayers/repeat_outcome_player.py | fras2560/Competition | b4671573f547a82a159c3f2e98686a9855491892 | [
"MIT"
] | null | null | null | '''
@author: Dallas Fraser
@id: 20652186
@class: CS686
@date: 2016-02-13
@note: contains a player using a repeat (Pavlov) strategy
'''
| 34.4375 | 72 | 0.617967 | '''
@author: Dallas Fraser
@id: 20652186
@class: CS686
@date: 2016-02-13
@note: contains a player using a repeat (Pavlov) strategy
'''
from DallasPlayers.player import COOPERATE, Player, DEFECT
import unittest
class RepeatOutcomePlayer(Player):
"""
Repeat Outcome Player - repeat last choice if good outcome
... | 0 | 0 | 0 | 1,946 | 0 | 0 | 0 | 31 | 90 |
53238245cb95ddc1dce0b7800b91c719d6a1110e | 61 | py | Python | adain/cfg/__init__.py | srihari-humbarwadi/adain-tensorflow2.x | c0da16e4d39d5316683ed0988787aedbb1c9768c | [
"MIT"
] | 6 | 2020-12-27T08:20:19.000Z | 2021-07-03T10:28:21.000Z | adain/cfg/__init__.py | srihari-humbarwadi/adain-tensorflow2.x | c0da16e4d39d5316683ed0988787aedbb1c9768c | [
"MIT"
] | null | null | null | adain/cfg/__init__.py | srihari-humbarwadi/adain-tensorflow2.x | c0da16e4d39d5316683ed0988787aedbb1c9768c | [
"MIT"
] | null | null | null | from adain.cfg.config import Config
__all__ = ['Config']
| 15.25 | 36 | 0.704918 | from adain.cfg.config import Config
__all__ = ['Config']
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
169eac8b55d04972afcb92a805c952f20a9a5da6 | 29,826 | py | Python | google/cloud/iam_credentials_v1/services/iam_credentials/client.py | Sandy1811/python-iam | f895427f7e59820931de194af42a10f44c5e9ae6 | [
"Apache-2.0"
] | null | null | null | google/cloud/iam_credentials_v1/services/iam_credentials/client.py | Sandy1811/python-iam | f895427f7e59820931de194af42a10f44c5e9ae6 | [
"Apache-2.0"
] | null | null | null | google/cloud/iam_credentials_v1/services/iam_credentials/client.py | Sandy1811/python-iam | f895427f7e59820931de194af42a10f44c5e9ae6 | [
"Apache-2.0"
] | 1 | 2021-06-21T07:25:10.000Z | 2021-06-21T07:25:10.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 42.008451 | 106 | 0.599846 | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 0 | 1,672 | 0 | 26,221 | 0 | 0 | 0 | 406 | 568 |
649d2c724b47b9dc4e3e609cd5390cfac81c2bc4 | 3,608 | py | Python | os_testr/testlist_builder.py | mail2nsrajesh/os-testr | e605216736c1867d7f03d0530f6e26fc20e064ce | [
"Apache-2.0"
] | null | null | null | os_testr/testlist_builder.py | mail2nsrajesh/os-testr | e605216736c1867d7f03d0530f6e26fc20e064ce | [
"Apache-2.0"
] | null | null | null | os_testr/testlist_builder.py | mail2nsrajesh/os-testr | e605216736c1867d7f03d0530f6e26fc20e064ce | [
"Apache-2.0"
] | 1 | 2020-07-21T02:18:23.000Z | 2020-07-21T02:18:23.000Z | # Copyright 2016 RedHat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 33.407407 | 78 | 0.645233 | # Copyright 2016 RedHat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 0 | 0 | 0 | 0 | 0 | 783 | 0 | 0 | 46 |
0435041c010170c69d01cc26aec3f6bd9ca040c1 | 91 | py | Python | src/functions_framework/__main__.py | uraniun/functions-framework-python | 748f51f08a72d798544f5e8aa20c8a426a2dbb30 | [
"Apache-2.0"
] | 1 | 2021-02-11T13:09:03.000Z | 2021-02-11T13:09:03.000Z | src/functions_framework/__main__.py | uraniun/functions-framework-python | 748f51f08a72d798544f5e8aa20c8a426a2dbb30 | [
"Apache-2.0"
] | null | null | null | src/functions_framework/__main__.py | uraniun/functions-framework-python | 748f51f08a72d798544f5e8aa20c8a426a2dbb30 | [
"Apache-2.0"
] | 1 | 2020-04-23T21:37:50.000Z | 2020-04-23T21:37:50.000Z | from functions_framework._cli import _cli
_cli(prog_name="python -m functions_framework")
| 22.75 | 47 | 0.835165 | from functions_framework._cli import _cli
_cli(prog_name="python -m functions_framework")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
346e22a22f276cb6603d6d67db3aad27ceae71ef | 426 | py | Python | handover/migrations/0006_auto_20190603_0327.py | utkarsh3mehta/todo | 8b1b22a3b016658050572abf818beabac8658f12 | [
"MIT"
] | null | null | null | handover/migrations/0006_auto_20190603_0327.py | utkarsh3mehta/todo | 8b1b22a3b016658050572abf818beabac8658f12 | [
"MIT"
] | null | null | null | handover/migrations/0006_auto_20190603_0327.py | utkarsh3mehta/todo | 8b1b22a3b016658050572abf818beabac8658f12 | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2019-06-03 10:27
| 22.421053 | 87 | 0.619718 | # Generated by Django 2.2 on 2019-06-03 10:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('handover', '0005_auto_20190603_0203'),
]
operations = [
migrations.AlterField(
model_name='user',
name='userlastname',... | 0 | 0 | 0 | 314 | 0 | 0 | 0 | 19 | 46 |
220d83971dc2ce007c674a09a95d458f14926a9a | 1,607 | py | Python | pylibs/pymode/queue.py | thekuffs/dotfiles | 2567136e941c428f10ca3a8e256f487ec36f5dbd | [
"Vim"
] | 1 | 2020-04-05T16:51:30.000Z | 2020-04-05T16:51:30.000Z | pylibs/pymode/queue.py | teranex/python-mode | 51d0c3f341b5d0cd68300e16cc29a97a5783ce02 | [
"Vim"
] | null | null | null | pylibs/pymode/queue.py | teranex/python-mode | 51d0c3f341b5d0cd68300e16cc29a97a5783ce02 | [
"Vim"
] | null | null | null | import threading
from .interface import show_message
def stop_queue():
" Stop all tasks. "
for thread in threading.enumerate():
if isinstance(thread, Task):
thread.stop()
show_message('%s stopped.' % thread.title)
def add_task(target, callback=None, buffer=None, title=None, ... | 26.344262 | 96 | 0.598009 | import threading
from .interface import show_message
import time
class Task(threading.Thread):
def __init__(self, buffer, callback=None, title=None, *args, **kwargs):
self.buffer = buffer
self._stop = threading.Event()
self.result = None
self.callback = callback
self.done ... | 0 | 0 | 0 | 700 | 0 | 0 | 0 | -10 | 45 |
9eba67aa60edbd5993f9d92bce188d5381ea2235 | 418 | py | Python | mem_filter.py | cpt-wigger/filters | f2fa14196cfa1c6dd242746dd96e23b5dba02af8 | [
"Apache-2.0"
] | 1 | 2019-08-19T06:39:29.000Z | 2019-08-19T06:39:29.000Z | mem_filter.py | cpt-wigger/filters | f2fa14196cfa1c6dd242746dd96e23b5dba02af8 | [
"Apache-2.0"
] | null | null | null | mem_filter.py | cpt-wigger/filters | f2fa14196cfa1c6dd242746dd96e23b5dba02af8 | [
"Apache-2.0"
] | null | null | null | """
"""
| 16.076923 | 43 | 0.576555 | """
基于内存进行去重，非持久
"""
from base import BaseFilter
class MemFilter(BaseFilter):
def _get_storage(self):
return set()
def _save(self, hash_value):
"""
利用集合进行存储
:param hash_value:
:return:
"""
return self.storage.add(hash_value)
def _is_exists(self, h... | 60 | 0 | 0 | 334 | 0 | 0 | 0 | 6 | 45 |
44a4559200be6a1b3bbcec88db0afa7080c254d1 | 1,156 | py | Python | learning/state_space.py | lmzintgraf/MultiMAuS | 629a64ecb1f2587283611a5cdc15802cfeaf3bf5 | [
"MIT"
] | 14 | 2017-08-16T09:57:13.000Z | 2022-03-22T06:37:17.000Z | learning/state_space.py | lmzintgraf/MultiMAuS | 629a64ecb1f2587283611a5cdc15802cfeaf3bf5 | [
"MIT"
] | null | null | null | learning/state_space.py | lmzintgraf/MultiMAuS | 629a64ecb1f2587283611a5cdc15802cfeaf3bf5 | [
"MIT"
] | 8 | 2017-11-21T13:26:06.000Z | 2022-03-24T23:54:35.000Z | """
In here we create a discrete state space representation
which can be used in learning algorithms such as Q-Learning.
The state space is intended to represent a single transaction sufficiently,
meaning it should include all relevant information that an agent could use
when making a decision; and it should not includ... | 27.52381 | 78 | 0.716263 | """
In here we create a discrete state space representation
which can be used in learning algorithms such as Q-Learning.
The state space is intended to represent a single transaction sufficiently,
meaning it should include all relevant information that an agent could use
when making a decision; and it should not includ... | 0 | 0 | 0 | 0 | 0 | 326 | 0 | 0 | 23 |
ff321447747a09e8db814bfba8288e7e71bd279a | 960 | py | Python | main.py | p1rkr41n/-S-Pomodoro | e4fce57423f44b9357d6e596122943ada6875703 | [
"MIT"
] | null | null | null | main.py | p1rkr41n/-S-Pomodoro | e4fce57423f44b9357d6e596122943ada6875703 | [
"MIT"
] | null | null | null | main.py | p1rkr41n/-S-Pomodoro | e4fce57423f44b9357d6e596122943ada6875703 | [
"MIT"
] | null | null | null | from time import sleep
from exec import pomodoro as pomodoro
from threading import Thread
import os
import psutil
if __name__ == "__main__":
#print("buscu")
worker1()
#worker2()
t2 =Thread(target = worker2)
t3 =Thread(target = worker3)
t2.start()
t3.start()
#Kill all process... | 25.945946 | 74 | 0.596875 | from time import process_time, sleep
from PyQt5.QtCore import pyqtRemoveInputHook
from exec import pomodoro as pomodoro
import gui3
import gui31
from threading import Thread
import os
import psutil
import sys
def worker1():
gui3.run()
#sys.exit(gui3)
def worker2():
#pomodoro(25,5,25,4)
g... | 0 | 0 | 0 | 0 | 0 | 332 | 0 | 7 | 162 |
00863625acddcae295185e43b0b58664b41f72fc | 506 | py | Python | apps/demo/hello_world.py | HaydenTWilson/Dash_applications | 9f464ea374a043bf4ea9a9d37d431ca52ae1cde7 | [
"MIT"
] | null | null | null | apps/demo/hello_world.py | HaydenTWilson/Dash_applications | 9f464ea374a043bf4ea9a9d37d431ca52ae1cde7 | [
"MIT"
] | 1 | 2021-09-13T10:01:42.000Z | 2021-09-13T10:01:42.000Z | apps/demo/hello_world.py | HaydenTWilson/Dash_applications | 9f464ea374a043bf4ea9a9d37d431ca52ae1cde7 | [
"MIT"
] | 6 | 2021-09-01T12:24:51.000Z | 2021-09-13T12:12:36.000Z | import dash_core_components as dcc
import dash_html_components as html
data = {
1: 'One',
2: 'Two',
3: 'Three',
4: 'Four'
}
layout = html.Div([
html.H1('Hello World!'),
dcc.Slider(id='demo-slider', min=1, max=4, value=1),
html.H3(data[1], id='demo-text')
])
| 18.740741 | 56 | 0.646245 | import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from app import app
data = {
1: 'One',
2: 'Two',
3: 'Three',
4: 'Four'
}
layout = html.Div([
html.H1('Hello World!'),
dcc.Slider(id='demo-slider', min=1, max=4, value=1),
htm... | 0 | 129 | 0 | 0 | 0 | 0 | 0 | 20 | 68 |
ae8eb3804ebce0c09ee13274e2d2162ecb460713 | 1,173 | py | Python | pi_test.py | mslinn/ibm-personality-insights-fun | 7b1470f04cb199dc0bbddd1f76c13e4c3b7c32f9 | [
"Apache-2.0"
] | 2 | 2019-12-16T13:34:50.000Z | 2020-05-30T16:36:40.000Z | pi_test.py | mslinn/ibm-personality-insights-fun | 7b1470f04cb199dc0bbddd1f76c13e4c3b7c32f9 | [
"Apache-2.0"
] | null | null | null | pi_test.py | mslinn/ibm-personality-insights-fun | 7b1470f04cb199dc0bbddd1f76c13e4c3b7c32f9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import json
import os
from watson_developer_cloud import PersonalityInsightsV3
def insights(user_text):
""" Analyze text using IBM Personality Insights.
``pip install --upgrade watson-developer-cloud``
This code is based on the `IBM Watson Python SDK`_ docs.
Environment variables mus... | 27.928571 | 114 | 0.724638 | #!/usr/bin/env python
import json
import os
from watson_developer_cloud import PersonalityInsightsV3
def insights(user_text):
""" Analyze text using IBM Personality Insights.
``pip install --upgrade watson-developer-cloud``
This code is based on the `IBM Watson Python SDK`_ docs.
Environment variables mus... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c9db9cc2ab6177edaf7061083941fa7e3c1bc227 | 79 | py | Python | micropython/010_press.py | mirontoli/tolle-rasp | 020638e86c167aedd7b556d8515a3adef70724af | [
"MIT"
] | 2 | 2021-06-29T17:18:09.000Z | 2022-01-25T08:29:59.000Z | micropython/010_press.py | mirontoli/tolle-rasp | 020638e86c167aedd7b556d8515a3adef70724af | [
"MIT"
] | null | null | null | micropython/010_press.py | mirontoli/tolle-rasp | 020638e86c167aedd7b556d8515a3adef70724af | [
"MIT"
] | null | null | null | sleep(10000)
display.scroll(str(button_a.get_presses())) | 26.333333 | 43 | 0.797468 | from microbit import *
sleep(10000)
display.scroll(str(button_a.get_presses())) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 22 |
ad0ced3dfb10c1fb26045807f0f33765478ec140 | 28 | py | Python | pyscriptdeck/_version.py | uicodefr/pyscriptdeck | d145bc9a644c908a66dfbe28f306500b5f6b93b2 | [
"MIT"
] | null | null | null | pyscriptdeck/_version.py | uicodefr/pyscriptdeck | d145bc9a644c908a66dfbe28f306500b5f6b93b2 | [
"MIT"
] | null | null | null | pyscriptdeck/_version.py | uicodefr/pyscriptdeck | d145bc9a644c908a66dfbe28f306500b5f6b93b2 | [
"MIT"
] | null | null | null |
VERSION = "0.2.2-SNAPSHOT"
| 9.333333 | 26 | 0.642857 |
VERSION = "0.2.2-SNAPSHOT"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18a38b7690d154ce3b685ff2f52ecda1c10a1e13 | 1,551 | py | Python | astrofunc/LensingProfiles/spemd.py | LBJ-Wade/astrofunc_lensing_profile | d2223705bc44d07575a5e93291375ab8e69ebfa8 | [
"MIT"
] | null | null | null | astrofunc/LensingProfiles/spemd.py | LBJ-Wade/astrofunc_lensing_profile | d2223705bc44d07575a5e93291375ab8e69ebfa8 | [
"MIT"
] | null | null | null | astrofunc/LensingProfiles/spemd.py | LBJ-Wade/astrofunc_lensing_profile | d2223705bc44d07575a5e93291375ab8e69ebfa8 | [
"MIT"
] | null | null | null | __author__ = 'sibirrer'
| 34.466667 | 105 | 0.640232 | __author__ = 'sibirrer'
from astrofunc.LensingProfiles.spp import SPP
from astrofunc.LensingProfiles.spemd_smooth import SPEMD_SMOOTH
class SPEMD(object):
"""
class for smooth power law ellipse mass density profile
"""
def __init__(self):
self.s2 = 0.00000001
self.spp = SPP()
... | 0 | 0 | 0 | 1,393 | 0 | 0 | 0 | 66 | 68 |
7478c823ce1ee11f4fcd7bb45981dbe3bcd08105 | 3,149 | py | Python | plugins/polio/preparedness/spread_cache.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | null | null | null | plugins/polio/preparedness/spread_cache.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | null | null | null | plugins/polio/preparedness/spread_cache.py | BLSQ/iaso-copy | 85fb17f408c15e8c2d730416d1312f58f8db39b7 | [
"MIT"
] | 1 | 2022-03-23T16:44:12.000Z | 2022-03-23T16:44:12.000Z | import gspread
| 31.49 | 99 | 0.576691 | import gspread
import gspread.utils
class CachedSpread:
def __init__(self, cache_dict):
self.c = cache_dict
@staticmethod
def from_spread(spread: gspread.Spreadsheet):
dict_spread = {}
dict_spread["title"] = spread.title
dict_spread["id"] = spread.id
dict_spread["p... | 0 | 862 | 0 | 2,203 | 0 | 0 | 0 | -1 | 68 |
03537bdfd96d3eee95ed97f589ab5ede4eb48dd1 | 2,632 | py | Python | markov.py | fgdorais/MarkovModel | 2d2c8df5dfdd0d5d1d13ad66e35b7a5cbaea3f77 | [
"MIT"
] | null | null | null | markov.py | fgdorais/MarkovModel | 2d2c8df5dfdd0d5d1d13ad66e35b7a5cbaea3f77 | [
"MIT"
] | null | null | null | markov.py | fgdorais/MarkovModel | 2d2c8df5dfdd0d5d1d13ad66e35b7a5cbaea3f77 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals # Python 2/3 compatibility #
from __future__ import print_function # Python 2/3 compatibility #
import sys
import argparse
import modelio
from parser import TokenParser
from trainer import MarkovTrainer
from generator import MarkovGenerator
parser = argparse.ArgumentParser(d... | 38.144928 | 114 | 0.700608 | from __future__ import unicode_literals # Python 2/3 compatibility #
from __future__ import print_function # Python 2/3 compatibility #
import sys
import argparse
import modelio
from parser import TokenParser
from trainer import MarkovTrainer
from generator import MarkovGenerator
parser = argparse.ArgumentParser(d... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d3131f985d21cdc2819702064c09b0e083f44196 | 623 | py | Python | run.py | ACK-J/Quantum-Key-Distribution-BB84 | 2899de51aed62b7355e92b6b70efb921abffdd6b | [
"MIT"
] | 1 | 2021-07-10T10:51:26.000Z | 2021-07-10T10:51:26.000Z | run.py | ACK-J/Quantum-Key-Distribution-BB84 | 2899de51aed62b7355e92b6b70efb921abffdd6b | [
"MIT"
] | null | null | null | run.py | ACK-J/Quantum-Key-Distribution-BB84 | 2899de51aed62b7355e92b6b70efb921abffdd6b | [
"MIT"
] | null | null | null | from BB84 import Start
import onetimepad
success, aliceKey, BobKey = Start.simulate()
binaryKeyAlice = ""
binaryKeyBob = ""
for each in aliceKey:
if each is True:
binaryKeyAlice = binaryKeyAlice + "1"
else:
binaryKeyAlice = binaryKeyAlice + "0"
for each in BobKey:
if each is True:
... | 22.25 | 52 | 0.699839 | import qsharp
from BB84 import Start
import onetimepad
success, aliceKey, BobKey = Start.simulate()
binaryKeyAlice = ""
binaryKeyBob = ""
for each in aliceKey:
if each is True:
binaryKeyAlice = binaryKeyAlice + "1"
else:
binaryKeyAlice = binaryKeyAlice + "0"
for each in BobKey:
if each is... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 22 |
fb4c9b7825915a8be20c6ad60069ea6a843b636f | 1,022 | py | Python | libya_site/tests/factories.py | SmartElect/SmartElect | d6d35f2fa8f60e756ad5247f8f0a5f05830e92f8 | [
"Apache-2.0"
] | 23 | 2015-10-28T14:08:23.000Z | 2021-09-11T21:38:41.000Z | libya_site/tests/factories.py | SmartElect/SmartElect | d6d35f2fa8f60e756ad5247f8f0a5f05830e92f8 | [
"Apache-2.0"
] | 4 | 2019-12-05T20:36:10.000Z | 2020-06-05T18:41:54.000Z | libya_site/tests/factories.py | SmartElect/SmartElect | d6d35f2fa8f60e756ad5247f8f0a5f05830e92f8 | [
"Apache-2.0"
] | 11 | 2015-10-28T15:49:56.000Z | 2021-09-14T14:18:36.000Z |
DEFAULT_USER_PASSWORD = 'password'
| 35.241379 | 87 | 0.683953 | from django.contrib.auth import get_user_model
import factory
DEFAULT_USER_PASSWORD = 'password'
class UserFactory(factory.DjangoModelFactory):
class Meta:
model = get_user_model()
username = factory.Sequence(lambda n: 'user%s' % n)
password = DEFAULT_USER_PASSWORD
email = factory.LazyAttr... | 0 | 508 | 0 | 390 | 0 | 0 | 0 | 18 | 68 |
ca6c21dff9b289603037d0123cbf0069676e49c7 | 369 | py | Python | popnet/exceptions.py | vincentpainchaud/PopNet | a95a66fa933dea0dc29a2744c4fd1f44622bbe36 | [
"MIT"
] | null | null | null | popnet/exceptions.py | vincentpainchaud/PopNet | a95a66fa933dea0dc29a2744c4fd1f44622bbe36 | [
"MIT"
] | null | null | null | popnet/exceptions.py | vincentpainchaud/PopNet | a95a66fa933dea0dc29a2744c4fd1f44622bbe36 | [
"MIT"
] | null | null | null | """Exceptions related to PopNet.
"""
| 21.705882 | 78 | 0.674797 | """Exceptions related to PopNet.
"""
class PopNetError(Exception):
"""Generic class for exceptions related to PopNet."""
pass
class FormatError(PopNetError):
"""Exceptions related to formatting errors in files handled by PopNet."""
pass
class PopNetWarning(Warning):
"""Generic c... | 0 | 0 | 0 | 251 | 0 | 0 | 0 | 0 | 74 |
bb5cdc48ea74ef5667a7333484b610440ee9f96f | 758 | py | Python | melodic/migrations/0004_auto_20211115_1712.py | V3rita2/capstone | 77d1abb2239b5a3aa1d7bd64d6ed891526c7d8a1 | [
"MIT"
] | null | null | null | melodic/migrations/0004_auto_20211115_1712.py | V3rita2/capstone | 77d1abb2239b5a3aa1d7bd64d6ed891526c7d8a1 | [
"MIT"
] | null | null | null | melodic/migrations/0004_auto_20211115_1712.py | V3rita2/capstone | 77d1abb2239b5a3aa1d7bd64d6ed891526c7d8a1 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.7 on 2021-11-15 17:12
| 28.074074 | 140 | 0.622691 | # Generated by Django 3.2.7 on 2021-11-15 17:12
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('melodic', '0003_remove_track_author'),
]
operations = [
migrations.AddField(
model_name='commen... | 0 | 0 | 0 | 611 | 0 | 0 | 0 | 30 | 68 |
27728b8c8bf1ba2618f3442fd0ac58795ff703be | 5,060 | py | Python | enhanced-binary-randomization/test-disp.py | pwwl/enhanced-binary-diversification | deac4bfebc336845347cd1a9fd428df1f12b0c79 | [
"MIT"
] | 11 | 2021-05-28T11:52:06.000Z | 2022-03-28T11:30:48.000Z | enhanced-binary-randomization/test-disp.py | pwwl/enhanced-binary-diversification | deac4bfebc336845347cd1a9fd428df1f12b0c79 | [
"MIT"
] | 2 | 2021-05-22T05:26:40.000Z | 2021-07-14T22:41:07.000Z | enhanced-binary-randomization/test-disp.py | pwwl/enhanced-binary-diversification | deac4bfebc336845347cd1a9fd428df1f12b0c79 | [
"MIT"
] | 1 | 2022-03-01T16:56:06.000Z | 2022-03-01T16:56:06.000Z | # Copyright (c) 2021, Mahmood Sharif, Keane Lucas, Michael K. Reiter, Lujo Bauer, and Saurabh Shintre
# This file is code used in Malware Makeover
"""
Code to develop/test code-displacement transformations.
"""
import random
import time
random.seed(time.time())
import sys
sys.path.append('orp')
VER="0.3"
if _... | 29.248555 | 101 | 0.634783 | # Copyright (c) 2021, Mahmood Sharif, Keane Lucas, Michael K. Reiter, Lujo Bauer, and Saurabh Shintre
# This file is code used in Malware Makeover
"""
Code to develop/test code-displacement transformations.
"""
import random
import time
random.seed(time.time())
import sys
sys.path.append('orp')
import peLib
import ... | 0 | 0 | 0 | 0 | 0 | 3,844 | 0 | -28 | 202 |
ca1ca984df5581e18f5d529694c0f639bbc97437 | 4,692 | py | Python | scripts/owner/suggest_owners.py | allansrc/fuchsia | a2c235b33fc4305044d496354a08775f30cdcf37 | [
"BSD-2-Clause"
] | 210 | 2019-02-05T12:45:09.000Z | 2022-03-28T07:59:06.000Z | scripts/owner/suggest_owners.py | PlugFox/fuchsia | 39afe5230d41628b3c736a6e384393df954968c8 | [
"BSD-2-Clause"
] | 56 | 2021-06-03T03:16:25.000Z | 2022-03-20T01:07:44.000Z | scripts/owner/suggest_owners.py | PlugFox/fuchsia | 39afe5230d41628b3c736a6e384393df954968c8 | [
"BSD-2-Clause"
] | 73 | 2019-03-06T18:55:23.000Z | 2022-03-26T12:04:51.000Z | #!/usr/bin/env python3.8
# Copyright 2021 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Suggests OWNERS for projects in a jiri manifest without owners.
For each project in a given jiri manifest file, do the following:... | 34 | 80 | 0.62127 | #!/usr/bin/env python3.8
# Copyright 2021 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Suggests OWNERS for projects in a jiri manifest without owners.
For each project in a given jiri manifest file, do the following:... | 0 | 0 | 0 | 0 | 0 | 3,610 | 0 | -9 | 204 |
fbbcff01309dc538dce335623a46e29f85f0ca13 | 731 | py | Python | Tokenization/Tokenizer and pad_sequences sarcasm.py | reddyprasade/Natural-Language-Processing | d02ef63832f595635645ea3468bf5dc8cafc0e76 | [
"Apache-2.0"
] | null | null | null | Tokenization/Tokenizer and pad_sequences sarcasm.py | reddyprasade/Natural-Language-Processing | d02ef63832f595635645ea3468bf5dc8cafc0e76 | [
"Apache-2.0"
] | null | null | null | Tokenization/Tokenizer and pad_sequences sarcasm.py | reddyprasade/Natural-Language-Processing | d02ef63832f595635645ea3468bf5dc8cafc0e76 | [
"Apache-2.0"
] | null | null | null | import json
with open("Data/sarcasm.json", 'r') as f:
datastore = json.load(f)
sentences = []
labels = []
urls = []
for item in datastore:
sentences.append(item['headline'])
labels.append(item['is_sarcastic'])
urls.append(item['article_link'])
from tensorflow.keras.preprocessing.text im... | 23.580645 | 66 | 0.729138 | import json
with open("Data/sarcasm.json", 'r') as f:
datastore = json.load(f)
sentences = []
labels = []
urls = []
for item in datastore:
sentences.append(item['headline'])
labels.append(item['is_sarcastic'])
urls.append(item['article_link'])
from tensorflow.keras.preprocessing.text im... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12b9bd7c12372343af689d54b3257cbece097433 | 1,146 | py | Python | code/models/decoder/Deeplabv3p_Decoder.py | xueruoyao/FCN-pytorch | a5019da3943f47fa4f7baed3640cdbfeae2d677e | [
"MIT"
] | 1 | 2021-11-16T12:24:43.000Z | 2021-11-16T12:24:43.000Z | code/models/decoder/Deeplabv3p_Decoder.py | xueruoyao/FCN-pytorch | a5019da3943f47fa4f7baed3640cdbfeae2d677e | [
"MIT"
] | null | null | null | code/models/decoder/Deeplabv3p_Decoder.py | xueruoyao/FCN-pytorch | a5019da3943f47fa4f7baed3640cdbfeae2d677e | [
"MIT"
] | null | null | null | from __future__ import absolute_import, print_function
import torch.nn as nn | 33.705882 | 95 | 0.602094 | from __future__ import absolute_import, print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from code.models.backbone.ResNet_Dilated import _ConvBnReLU
from collections import OrderedDict
class DeepLabv3p_decoder(nn.Module):
def __init__(self, mid_ch, reduce_ch, n_classes):
... | 0 | 0 | 0 | 904 | 0 | 0 | 0 | 53 | 113 |
9516e2614644f8a4e1d53349de322d9b69fc8177 | 3,529 | py | Python | 3rdparty/pytorch/tools/setup_helpers/cudnn.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 1 | 2019-07-23T11:20:58.000Z | 2019-07-23T11:20:58.000Z | 3rdparty/pytorch/tools/setup_helpers/cudnn.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 1 | 2019-07-22T09:48:46.000Z | 2019-07-22T09:48:46.000Z | pytorch/tools/setup_helpers/cudnn.py | raghavnauhria/whatmt | c20483a437c82936cb0fb8080925e37b9c4bba87 | [
"MIT"
] | null | null | null | import os
import glob
from .env import IS_WINDOWS, IS_CONDA, CONDA_DIR, check_negative_env_flag, gather_paths, lib_paths_from_base
from .cuda import USE_CUDA, CUDA_HOME
USE_CUDNN = False
CUDNN_LIB_DIR = None
CUDNN_INCLUDE_DIR = None
CUDNN_LIBRARY = None
WITH_STATIC_CUDNN = os.getenv("USE_STATIC_CUDNN")
if USE_CUDA ... | 36.381443 | 108 | 0.622273 | import os
import glob
from .env import IS_WINDOWS, IS_CONDA, CONDA_DIR, check_negative_env_flag, gather_paths, lib_paths_from_base
from .cuda import USE_CUDA, CUDA_HOME
USE_CUDNN = False
CUDNN_LIB_DIR = None
CUDNN_INCLUDE_DIR = None
CUDNN_LIBRARY = None
WITH_STATIC_CUDNN = os.getenv("USE_STATIC_CUDNN")
if USE_CUDA ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
552536ee85002d05a625aa6d866ca130ffde03a2 | 670 | py | Python | onepercentclub/settings/testing.py | jfterpstra/onepercentclub-site | 43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e | [
"BSD-3-Clause"
] | 7 | 2015-01-02T19:31:14.000Z | 2021-03-22T17:30:23.000Z | onepercentclub/settings/testing.py | jfterpstra/onepercentclub-site | 43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e | [
"BSD-3-Clause"
] | 1 | 2015-03-06T08:34:59.000Z | 2015-03-06T08:34:59.000Z | onepercentclub/settings/testing.py | jfterpstra/onepercentclub-site | 43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e | [
"BSD-3-Clause"
] | null | null | null | #
# NOTE: This is the settings file for the server at https://testing.onepercentclub.com
# This is not for running tests!
#
try:
except ImportError:
import sys
sys.exit('secrets.py settings file not found. Please run `prepare.sh` to create one.')
#
# Put testing environment specific overrides below.
#
... | 21.612903 | 90 | 0.741791 | #
# NOTE: This is the settings file for the server at https://testing.onepercentclub.com
# This is not for running tests!
#
try:
from .secrets import *
except ImportError:
import sys
sys.exit('secrets.py settings file not found. Please run `prepare.sh` to create one.')
from .server import *
#
# Put... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 49 |
1392dbe8d51ffbca470715d64eabacb4e01d9797 | 8,480 | py | Python | tests/conftest.py | hendrikdutoit/SQLAlchemyExample | 6078219101daf1917eced84d45b5fbb91cbed9e4 | [
"MIT"
] | null | null | null | tests/conftest.py | hendrikdutoit/SQLAlchemyExample | 6078219101daf1917eced84d45b5fbb91cbed9e4 | [
"MIT"
] | 2 | 2022-01-12T15:24:53.000Z | 2022-01-13T08:18:41.000Z | tests/conftest.py | hendrikdutoit/SQLAlchemyExample | 6078219101daf1917eced84d45b5fbb91cbed9e4 | [
"MIT"
] | null | null | null | '''Create a conftest.py
Define the fixture functions in this file to make them accessible across multiple test files.
'''
from pathlib import Path
# from github import Github, GithubException as gh_exc
_DESC = __doc__.split('\n')[0]
_PATH = Path(__file__)
# _CLASSIFIERS = [
# 'Development Status :... | 29.444444 | 105 | 0.630425 | '''Create a conftest.py
Define the fixture functions in this file to make them accessible across multiple test files.
'''
from pathlib import Path
import pytest
from tempfile import mkdtemp
from beetools import rm_tree
# from github import Github, GithubException as gh_exc
_DESC = __doc__.split('\n')[0]
... | 0 | 551 | 0 | 309 | 0 | 0 | 0 | 6 | 194 |
e068be4ae383b596c8ddfa770f53dcd6c9e99336 | 900 | py | Python | working_directory/utils/string_handling.py | projectscara2014/scara | bd1b8f11e40cbc351cd72f78e706e56ae11e34fe | [
"MIT"
] | 2 | 2020-05-11T12:58:28.000Z | 2021-06-29T09:11:37.000Z | working_directory/utils/string_handling.py | projectscara2014/scara | bd1b8f11e40cbc351cd72f78e706e56ae11e34fe | [
"MIT"
] | null | null | null | working_directory/utils/string_handling.py | projectscara2014/scara | bd1b8f11e40cbc351cd72f78e706e56ae11e34fe | [
"MIT"
] | 4 | 2015-12-19T12:57:55.000Z | 2017-07-29T08:38:01.000Z |
useless_array = [' ','\n','\t','%'] | 21.428571 | 65 | 0.601111 | def char_to_int(c) :
for i in range(256) :
if(chr(i) == c) :
return i
def skip_character(string,character,i) :
j = i
while((string[j] == character)and(i<len(string))) :
j += 1
return j-i
def skip_until_character(string,character,i) :
j = i
while((string[j] != character)and(i<len(string))) :
j +... | 0 | 0 | 0 | 0 | 0 | 728 | 0 | 0 | 136 |
82ae77e0d236637aa7a6a5861bec99da11270cc7 | 1,772 | py | Python | gram/models.py | karushi/Instagram | 40ae3c55d37fd2be5555a14413440ca1dc22e703 | [
"MIT"
] | null | null | null | gram/models.py | karushi/Instagram | 40ae3c55d37fd2be5555a14413440ca1dc22e703 | [
"MIT"
] | null | null | null | gram/models.py | karushi/Instagram | 40ae3c55d37fd2be5555a14413440ca1dc22e703 | [
"MIT"
] | null | null | null |
# Create your models here.
| 26.848485 | 100 | 0.701467 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Profile(models.Model):
bio = models.TextField(max_length=150)
photo = models.ImageField(upload_to='pics/',null=True, blank=True)
user = models.ForeignKey(User)
@classmethod
def search_by_use... | 0 | 348 | 0 | 1,252 | 0 | 0 | 0 | 29 | 113 |
dcc8212c479d35716d6171cc58afb361e94c045d | 1,670 | py | Python | tests/acceptance/commercial/test_delta_update_module.py | bdx-iot/meta-mender | d6a24868fca3e4d9839e71fb65a02de95e28df64 | [
"Apache-2.0"
] | null | null | null | tests/acceptance/commercial/test_delta_update_module.py | bdx-iot/meta-mender | d6a24868fca3e4d9839e71fb65a02de95e28df64 | [
"Apache-2.0"
] | null | null | null | tests/acceptance/commercial/test_delta_update_module.py | bdx-iot/meta-mender | d6a24868fca3e4d9839e71fb65a02de95e28df64 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright 2019 Northern.tech AS
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 41.75 | 115 | 0.70479 | #!/usr/bin/python
# Copyright 2019 Northern.tech AS
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 0 | 967 | 0 | 0 | 0 | 0 | 0 | -13 | 91 |
7e0c40bb30d0f5912cc06ea629bffa5efe44c86d | 2,355 | py | Python | tests/test_cascade.py | bio2bel/ComPath | 26c43da61a0329f56013d3e3b39d83cf0a127134 | [
"MIT"
] | 8 | 2019-02-01T03:21:09.000Z | 2022-01-12T04:01:42.000Z | tests/test_cascade.py | ComPath/ComPath | 26c43da61a0329f56013d3e3b39d83cf0a127134 | [
"MIT"
] | 78 | 2018-02-28T14:34:10.000Z | 2020-11-18T19:05:00.000Z | tests/test_cascade.py | bio2bel/ComPath | 26c43da61a0329f56013d3e3b39d83cf0a127134 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test cascade."""
| 30.584416 | 71 | 0.615711 | # -*- coding: utf-8 -*-
"""Test cascade."""
from compath.constants import EQUIVALENT_TO
from compath.models import User
from tests.constants import DatabaseMixin, KEGG, REACTOME
class TestCascades(DatabaseMixin):
"""Test that votes are cascaded properly."""
def setUp(self):
"""Create fakes emails.... | 0 | 0 | 0 | 2,150 | 0 | 0 | 0 | 68 | 90 |
286b65b8a6ceac8d3ec38e6c514b36d04d7a09c1 | 21,168 | py | Python | bud.py | Sichengthebest/Pokegod | b5e5aa82e674a495e1096ead98b9a8702f0c19de | [
"BSD-2-Clause"
] | 1 | 2021-07-19T16:14:18.000Z | 2021-07-19T16:14:18.000Z | bud.py | Sichengthebest/Pokegod | b5e5aa82e674a495e1096ead98b9a8702f0c19de | [
"BSD-2-Clause"
] | null | null | null | bud.py | Sichengthebest/Pokegod | b5e5aa82e674a495e1096ead98b9a8702f0c19de | [
"BSD-2-Clause"
] | null | null | null | import pokeconfig
typeTrans = {
'Grass': '',
'Fire': '',
'Water': '',
'Electric': '',
'Normal': '',
'Ice': '',
'Fighting': '',
'Poison': '',
'Ground': '',
'Flying': '',
'Psychic': '',
'Bug': '',
'Rock': '',
'Ghost': '',
'Dragon': '',
'Dark': '',
'Stee... | 48.774194 | 383 | 0.596136 | import random
import pokeconfig
import pokemon_new
import pokelist
import pokeutils
import pokemoves
import movelist
from telegram.ext import CommandHandler, CallbackQueryHandler
from telegram import InputMediaPhoto
from datetime import datetime
typeTrans = {
'Grass': '🌱',
'Fire': '🔥',
'Water': '💧',
... | 214 | 0 | 0 | 0 | 0 | 20,061 | 0 | 30 | 639 |
11b0e17e7a3bc9ecf25b4afc8c30a58db3df1baa | 221 | py | Python | fabric_bolt/core/settings/example_channels.py | jooni22/fabric-bolt | 129d83036f84018b62624794d2cbf9cca80ab210 | [
"MIT"
] | 219 | 2015-08-16T15:36:50.000Z | 2021-11-15T09:38:54.000Z | fabric_bolt/core/settings/example_channels.py | jooni22/fabric-bolt | 129d83036f84018b62624794d2cbf9cca80ab210 | [
"MIT"
] | 76 | 2015-08-12T14:49:09.000Z | 2022-03-11T23:20:33.000Z | fabric_bolt/core/settings/example_channels.py | jooni22/fabric-bolt | 129d83036f84018b62624794d2cbf9cca80ab210 | [
"MIT"
] | 67 | 2015-08-18T11:04:41.000Z | 2021-01-10T13:46:42.000Z | """
This settings file is an example of what you need to do to use the channels backend.
"""
INSTALLED_APPS += ['channels']
TASK_RUNNER_BACKEND = 'fabric_bolt.task_runners.channels.ChannelsBackend'
| 22.1 | 84 | 0.760181 | """
This settings file is an example of what you need to do to use the channels backend.
"""
from .base import *
INSTALLED_APPS += ['channels']
TASK_RUNNER_BACKEND = 'fabric_bolt.task_runners.channels.ChannelsBackend'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 23 |
32c85ca2f16fb99b3e445985b9ecfc63867e8a86 | 473 | py | Python | tests/echoschema.py | Zapix/mtpylon | b268a4e2d1bc641cace1962ea68de73c1156e44c | [
"MIT"
] | 9 | 2021-11-10T08:53:51.000Z | 2021-12-15T12:03:44.000Z | tests/echoschema.py | Zapix/mtpylon | b268a4e2d1bc641cace1962ea68de73c1156e44c | [
"MIT"
] | 123 | 2020-10-22T07:08:20.000Z | 2021-09-29T15:26:22.000Z | tests/echoschema.py | Zapix/mtpylon | b268a4e2d1bc641cace1962ea68de73c1156e44c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from mtpylon import Schema
schema = Schema(constructors=[Reply], functions=[echo])
| 16.892857 | 60 | 0.646934 | # -*- coding: utf-8 -*-
import random
from dataclasses import dataclass
from aiohttp import web
from mtpylon import Schema
@dataclass
class Reply:
rand_id: int
content: str
class Meta:
name = 'reply'
order = ('rand_id', 'content')
async def echo(request: web.Request, content: str) -> ... | 0 | 115 | 127 | 0 | 0 | 0 | 0 | 6 | 113 |
dbff888c5a055155585e62bdf918a7c442453d77 | 3,291 | py | Python | tests/conftest.py | MrVoi/ric-plt-xapp-frame-py | 9c09be1e9598d4e145faea412b047b64d38feb22 | [
"Apache-2.0",
"CC-BY-4.0"
] | 3 | 2020-10-10T08:35:22.000Z | 2021-12-28T21:39:01.000Z | tests/conftest.py | MrVoi/ric-plt-xapp-frame-py | 9c09be1e9598d4e145faea412b047b64d38feb22 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | tests/conftest.py | MrVoi/ric-plt-xapp-frame-py | 9c09be1e9598d4e145faea412b047b64d38feb22 | [
"Apache-2.0",
"CC-BY-4.0"
] | 9 | 2020-11-03T04:33:47.000Z | 2022-03-21T21:47:37.000Z | # ==================================================================================
# Copyright (c) 2019 Nokia
# Copyright (c) 2018-2019 AT&T Intellectual Property.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... | 33.927835 | 147 | 0.614099 | # ==================================================================================
# Copyright (c) 2019 Nokia
# Copyright (c) 2018-2019 AT&T Intellectual Property.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... | 0 | 1,849 | 0 | 0 | 0 | 0 | 0 | 36 | 113 |
fefee34dcd51050a11b00a5f229c5107a5475ef0 | 3,089 | py | Python | process_nas_results.py | young-geng/design-baselines-icml | ce4183babac304ed5f83151a602d75de6c4740c4 | [
"MIT"
] | 28 | 2020-06-30T00:40:33.000Z | 2022-03-22T05:16:27.000Z | process_nas_results.py | young-geng/design-baselines-icml | ce4183babac304ed5f83151a602d75de6c4740c4 | [
"MIT"
] | 5 | 2020-09-17T07:15:52.000Z | 2022-03-31T23:33:27.000Z | process_nas_results.py | young-geng/design-baselines-icml | ce4183babac304ed5f83151a602d75de6c4740c4 | [
"MIT"
] | 3 | 2020-09-17T06:55:53.000Z | 2021-08-09T20:27:26.000Z | import tensorflow as tf
import numpy as np
import argparse
import os
import string
import pickle as pkl
import glob
import design_bench as db
from datetime import datetime
if __name__ == "__main__":
baseline_to_iteration = {
"autofocused-cbas": 20,
"cbas": 20,
"bo-qei": 10... | 33.945055 | 115 | 0.580447 | import tensorflow as tf
import numpy as np
import argparse
import os
import random
import string
import pickle as pkl
import glob
import design_bench as db
from datetime import datetime
if __name__ == "__main__":
baseline_to_iteration = {
"autofocused-cbas": 20,
"cbas": 20,
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 23 |
2331e2f962a5a782f51042da8d0328c972476fbd | 2,285 | py | Python | libhandy/list.py | jeteokeeffe/gtk-python-examples | fd0ea414d5cf91f905f7081117136379cd4768fe | [
"MIT"
] | null | null | null | libhandy/list.py | jeteokeeffe/gtk-python-examples | fd0ea414d5cf91f905f7081117136379cd4768fe | [
"MIT"
] | null | null | null | libhandy/list.py | jeteokeeffe/gtk-python-examples | fd0ea414d5cf91f905f7081117136379cd4768fe | [
"MIT"
] | null | null | null | import gi
gi.require_version('Handy', '0.0')
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Handy, Gio
Handy.init()
# Create Window
window = Gtk.Window(title="LibHandy List example")
window.set_border_width(10)
# Create a Button
#
button = Gtk.Button.new_from_icon_name('battery-good', ... | 25.10989 | 86 | 0.719475 | import gi
gi.require_version('Handy', '0.0')
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Handy, Gio, GObject
class Flatpak(GObject.GObject):
name = GObject.Property(type=str)
repo = GObject.Property(type=str)
def __init__(self, name, repo):
GObject.GObject.__init__(self)
... | 0 | 0 | 0 | 212 | 0 | 165 | 0 | 9 | 69 |
03761f9ec58d486452021f425aaec846a8ecc2b7 | 1,052 | py | Python | tests/pause_command_tests.py | rluzuriaga/TogglCLI | bb172ba5a6bcfbed6a2f969d7ae12f983394a5c7 | [
"MIT"
] | null | null | null | tests/pause_command_tests.py | rluzuriaga/TogglCLI | bb172ba5a6bcfbed6a2f969d7ae12f983394a5c7 | [
"MIT"
] | 11 | 2020-04-30T02:48:33.000Z | 2020-07-02T20:23:46.000Z | tests/pause_command_tests.py | rluzuriaga/TogglCLI | bb172ba5a6bcfbed6a2f969d7ae12f983394a5c7 | [
"MIT"
] | null | null | null | import unittest
if __name__ == "__main__":
unittest.main()
| 30.941176 | 74 | 0.665399 | import unittest
from tgl.utils import delete_user_data
from tests.utils import setup_credentials, run_command, tgl_stop
class TestPauseCommand(unittest.TestCase):
def setUp(self) -> None:
delete_user_data()
setup_credentials()
return super().setUp()
def tearDown(self) -> None:
... | 0 | 0 | 0 | 858 | 0 | 0 | 0 | 60 | 68 |
95a00a7427ef9c56fecc12bd59285407fc5e4ff2 | 6,507 | py | Python | main.py | yashwardhan-gautam/AlgoTrading | fee9c1caf019f7e328da63843f8d82b799751047 | [
"MIT"
] | 1 | 2021-07-24T06:15:09.000Z | 2021-07-24T06:15:09.000Z | main.py | yashwardhan-gautam/AlgoTrading | fee9c1caf019f7e328da63843f8d82b799751047 | [
"MIT"
] | null | null | null | main.py | yashwardhan-gautam/AlgoTrading | fee9c1caf019f7e328da63843f8d82b799751047 | [
"MIT"
] | null | null | null | import logging
from datetime import datetime
from time import sleep
logging.basicConfig(level=logging.DEBUG)
ltp = 0
EMA_CROSS_SCRIP = 'INFY'
NIFTY_BANK_IDX = ''
lots = 1
sl_percentage = 0.25 # exit if it goes more than 25% on either size of our straddle
if __name__ == '__main__':
global socket_opened, bn_call,... | 36.55618 | 166 | 0.582911 | import dateutil.utils
from alice_blue import *
import conf
import logging
from datetime import datetime
import statistics
from time import sleep
def generate_key_token():
try:
access_token = AliceBlue.login_and_get_access_token(username=conf.username, password=conf.password, twoFA='a', api_secret=conf.app_... | 0 | 0 | 0 | 0 | 0 | 5,106 | 0 | -11 | 318 |
d37853652caf3ae06869be8c3f76d2886037c66c | 283 | py | Python | setup.py | SharpKoi/SproutNet | c3363eaa295fa92da162973b161a5718d75fc7dc | [
"MIT"
] | null | null | null | setup.py | SharpKoi/SproutNet | c3363eaa295fa92da162973b161a5718d75fc7dc | [
"MIT"
] | null | null | null | setup.py | SharpKoi/SproutNet | c3363eaa295fa92da162973b161a5718d75fc7dc | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(name='sproutnet',
version='0.3.0',
author='Sharpkoi',
author_email='sharpkoi1222@gmail.com',
license='LICENSE',
description='neural network for learning and education.',
packages=find_packages())
| 28.3 | 63 | 0.685512 | from setuptools import setup, find_packages
setup(name='sproutnet',
version='0.3.0',
author='Sharpkoi',
author_email='sharpkoi1222@gmail.com',
license='LICENSE',
description='neural network for learning and education.',
packages=find_packages())
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6b94cef82a627df04c84937f9c36f847cd8a358 | 534 | py | Python | facebook_sdk/constants.py | zetahernandez/facebook-py-sdk | ab41452b884592f3330336d173fe99491979e1b8 | [
"MIT"
] | 17 | 2017-09-29T20:14:36.000Z | 2018-12-19T19:57:01.000Z | facebook_sdk/constants.py | zetahernandez/facebook-py-sdk | ab41452b884592f3330336d173fe99491979e1b8 | [
"MIT"
] | 18 | 2017-10-10T14:20:31.000Z | 2020-10-15T17:06:50.000Z | facebook_sdk/constants.py | zetahernandez/facebook-py-sdk | ab41452b884592f3330336d173fe99491979e1b8 | [
"MIT"
] | 10 | 2017-10-31T22:59:49.000Z | 2021-09-08T11:22:16.000Z | BASE_GRAPH_URL = 'https://graph.facebook.com'
BASE_AUTHORIZATION_URL = 'https://www.facebook.com'
GRAPH_VERSION_V2_5 = 'v2.5'
GRAPH_VERSION_V2_6 = 'v2.6'
GRAPH_VERSION_V2_7 = 'v2.7'
GRAPH_VERSION_V2_8 = 'v2.8'
GRAPH_VERSION_V2_9 = 'v2.9'
GRAPH_VERSION_V2_10 = 'v2.10'
GRAPH_VERSION_V2_11 = 'v2.11'
GRAPH_VERSION_V2_12 =... | 24.272727 | 51 | 0.754682 | BASE_GRAPH_URL = 'https://graph.facebook.com'
BASE_AUTHORIZATION_URL = 'https://www.facebook.com'
GRAPH_VERSION_V2_5 = 'v2.5'
GRAPH_VERSION_V2_6 = 'v2.6'
GRAPH_VERSION_V2_7 = 'v2.7'
GRAPH_VERSION_V2_8 = 'v2.8'
GRAPH_VERSION_V2_9 = 'v2.9'
GRAPH_VERSION_V2_10 = 'v2.10'
GRAPH_VERSION_V2_11 = 'v2.11'
GRAPH_VERSION_V2_12 =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
97656c44c6efd1260688e2504da0149385039b77 | 4,988 | py | Python | train_dtp.py | lnsndn/neural-word-search | cae82593a546590ff272b6062004d66dd2497337 | [
"MIT"
] | 5 | 2018-12-15T00:02:05.000Z | 2021-07-06T14:40:32.000Z | train_dtp.py | lnsndn/neural-word-search | cae82593a546590ff272b6062004d66dd2497337 | [
"MIT"
] | 4 | 2019-07-31T15:43:41.000Z | 2022-03-09T09:57:48.000Z | train_dtp.py | lnsndn/neural-word-search | cae82593a546590ff272b6062004d66dd2497337 | [
"MIT"
] | 7 | 2019-01-04T10:50:20.000Z | 2022-01-18T18:03:01.000Z | import warnings
warnings.filterwarnings("ignore")
import os
import json
import easydict
import time
import torch
from misc.dataloader import DataLoader
import torch.optim as optim
import misc.datasets as datasets
import ctrlfnet_model_dtp as ctrlf
from misc.h5_dataset import H5Dataset
from train_opts import parse_args... | 30.790123 | 111 | 0.65838 | import warnings
warnings.filterwarnings("ignore")
import os
import json
import easydict
import time
import torch
from misc.dataloader import DataLoader
import torch.optim as optim
import misc.datasets as datasets
import ctrlfnet_model_dtp as ctrlf
from misc.h5_dataset import H5Dataset
from train_opts import parse_args... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8684acb247e85075aa50f50171da10a5939759a9 | 1,043 | py | Python | Chapter10/mandelbrot_ctypes.py | gyf135/Hands-On-GPU-Programming-with-Python-and-CUDA | 4fbd14d3a9fbc68305ffaa16490221b1ef49a934 | [
"MIT"
] | 164 | 2018-11-25T19:03:58.000Z | 2022-03-30T12:02:40.000Z | Chapter10/mandelbrot_ctypes.py | gyf135/Hands-On-GPU-Programming-with-Python-and-CUDA | 4fbd14d3a9fbc68305ffaa16490221b1ef49a934 | [
"MIT"
] | 2 | 2020-05-16T19:25:23.000Z | 2021-06-24T15:29:56.000Z | Chapter10/mandelbrot_ctypes.py | gyf135/Hands-On-GPU-Programming-with-Python-and-CUDA | 4fbd14d3a9fbc68305ffaa16490221b1ef49a934 | [
"MIT"
] | 89 | 2018-11-29T12:44:26.000Z | 2022-03-03T04:56:01.000Z | from __future__ import division
from time import time
import matplotlib
from matplotlib import pyplot as plt
import numpy as np
# Linux users: change the filename below to './mandelbrot.so'
mandel_dll = CDLL('./mandelbrot.dll')
mandel_c = mandel_dll.launch_mandelbrot
mandel_c.argtypes = [POINTER(c_float), POINTER(c_fl... | 27.447368 | 156 | 0.705657 | from __future__ import division
from time import time
import matplotlib
from matplotlib import pyplot as plt
import numpy as np
from ctypes import *
# Linux users: change the filename below to './mandelbrot.so'
mandel_dll = CDLL('./mandelbrot.dll')
mandel_c = mandel_dll.launch_mandelbrot
mandel_c.argtypes = [POINTER(c... | 0 | 0 | 0 | 0 | 0 | 352 | 0 | -1 | 45 |
c074b4532136d0952920ebc3ea17b89e1c9e86fe | 4,241 | py | Python | igor/std-plugins/ca/igorplugin.py | cwi-dis/igor | 1d973731a8e9378c8609401fe9fd5be963b54233 | [
"MIT"
] | 5 | 2017-09-05T12:13:50.000Z | 2020-07-15T15:12:08.000Z | igor/std-plugins/ca/igorplugin.py | cwi-dis/igor | 1d973731a8e9378c8609401fe9fd5be963b54233 | [
"MIT"
] | 75 | 2017-05-22T13:19:58.000Z | 2021-01-25T00:22:12.000Z | igor/std-plugins/ca/igorplugin.py | cwi-dis/igor | 1d973731a8e9378c8609401fe9fd5be963b54233 | [
"MIT"
] | 3 | 2017-06-11T19:50:41.000Z | 2019-04-29T13:30:59.000Z |
DEBUG=False
| 37.866071 | 178 | 0.618486 | import json
import igorCA
import os
import sys
import tempfile
import urllib
DEBUG=False
class CAPlugin:
def __init__(self, igor, pluginData):
self.igor = igor
self.ca = None
self.caServerUrl = pluginData.get('ca')
def initCA(self):
if self.ca: return
self.ca =... | 0 | 0 | 0 | 4,029 | 0 | 62 | 0 | -55 | 186 |
8a4e73ba3400822aae8cc18de0cacf63e102fbb5 | 3,493 | py | Python | 19_blastomatic/solution3_pandas.py | ilaydabozan/biofx_python | b7bef85dcf0b0a9e049f10a0766b9da20bf676c7 | [
"MIT"
] | 74 | 2020-12-18T16:04:31.000Z | 2022-03-02T09:05:54.000Z | 19_blastomatic/solution3_pandas.py | ilaydabozan/biofx_python | b7bef85dcf0b0a9e049f10a0766b9da20bf676c7 | [
"MIT"
] | 6 | 2021-06-30T19:42:04.000Z | 2022-02-07T04:45:31.000Z | 19_blastomatic/solution3_pandas.py | ilaydabozan/biofx_python | b7bef85dcf0b0a9e049f10a0766b9da20bf676c7 | [
"MIT"
] | 169 | 2020-11-06T19:44:36.000Z | 2022-03-30T08:38:42.000Z | #!/usr/bin/env python3
""" Annotate BLAST output """
import argparse
import pandas as pd
import os
# --------------------------------------------------
def get_args():
""" Get command-line arguments """
parser = argparse.ArgumentParser(
description='Annotate BLAST output',
formatter_class=a... | 30.640351 | 79 | 0.442599 | #!/usr/bin/env python3
""" Annotate BLAST output """
import argparse
import pandas as pd
import os
from typing import NamedTuple, TextIO
class Args(NamedTuple):
""" Command-line arguments """
hits: TextIO
annotations: TextIO
outfile: TextIO
delimiter: str
pctid: float
# --------------------... | 0 | 0 | 0 | 134 | 0 | 0 | 0 | 16 | 45 |
a6521ff210264e8d0cd6c6236416f25a7b2ea2f9 | 2,385 | py | Python | echopype/convert/convert.py | emiliom/echopype | 3665faeb251d4db4bd8e1dfe05f41942c86f10ea | [
"Apache-2.0"
] | null | null | null | echopype/convert/convert.py | emiliom/echopype | 3665faeb251d4db4bd8e1dfe05f41942c86f10ea | [
"Apache-2.0"
] | null | null | null | echopype/convert/convert.py | emiliom/echopype | 3665faeb251d4db4bd8e1dfe05f41942c86f10ea | [
"Apache-2.0"
] | null | null | null | """
This file provides a wrapper for the convert objects and functions.
Users will not need to know the names of the specific objects they need to create.
"""
| 39.098361 | 109 | 0.607128 | """
This file provides a wrapper for the convert objects and functions.
Users will not need to know the names of the specific objects they need to create.
"""
import os
from echopype.convert.azfp import ConvertAZFP
from echopype.convert.ek60 import ConvertEK60
class Convert:
def __new__(cls, path='', xml_path='')... | 0 | 0 | 0 | 2,100 | 0 | 0 | 0 | 36 | 89 |
86fcd9bd06f46da62a3b3763f7736ab6a9c8ff6a | 200 | py | Python | src/sylenium/helper/_filesystem_helper.py | symonk/browzer | 4d9ee5adba6819d787357247da69b5429af9cde1 | [
"MIT"
] | 6 | 2018-07-25T09:14:08.000Z | 2020-12-18T21:25:28.000Z | src/sylenium/helper/_filesystem_helper.py | symonk/sylenium | 4d9ee5adba6819d787357247da69b5429af9cde1 | [
"MIT"
] | 32 | 2018-07-23T19:34:27.000Z | 2020-11-18T01:38:42.000Z | src/sylenium/helper/_filesystem_helper.py | symonk/browzer | 4d9ee5adba6819d787357247da69b5429af9cde1 | [
"MIT"
] | 3 | 2018-10-10T07:43:55.000Z | 2020-01-10T21:50:24.000Z | import pathlib
def does_file_exist(path_to_file: str) -> bool:
"""
Performs a simple exists check on a given file path
"""
path = pathlib.Path(path_to_file)
return path.exists()
| 20 | 55 | 0.675 | import pathlib
def does_file_exist(path_to_file: str) -> bool:
"""
Performs a simple exists check on a given file path
"""
path = pathlib.Path(path_to_file)
return path.exists()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2f5cb5ebfe13e26f81d8752aef7ba96356b7b2ba | 2,224 | py | Python | slack-bot/app.py | rapid7/alcide-github-actions | 527ca967441fe3b4602f0f411fdd8b89877e04ea | [
"MIT"
] | null | null | null | slack-bot/app.py | rapid7/alcide-github-actions | 527ca967441fe3b4602f0f411fdd8b89877e04ea | [
"MIT"
] | null | null | null | slack-bot/app.py | rapid7/alcide-github-actions | 527ca967441fe3b4602f0f411fdd8b89877e04ea | [
"MIT"
] | 1 | 2022-03-23T19:38:38.000Z | 2022-03-23T19:38:38.000Z | import os
from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
token=os.environ['token']
channel=os.environ['channel']
header=os.environ['header']
pre_message=os.environ['pre_message']
message=os.environ['message']
post_message=os.environ['post_message']
actor=os.environ['actor']
release=os.envir... | 25.860465 | 78 | 0.42491 | import os
from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
token=os.environ['token']
channel=os.environ['channel']
header=os.environ['header']
pre_message=os.environ['pre_message']
message=os.environ['message']
post_message=os.environ['post_message']
actor=os.environ['actor']
release=os.envir... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cb8a9ee76940cfbe1fd57da3582d246bbc92f52a | 3,866 | py | Python | ophthalmology/models/heads.py | LaurenzBeck/ophthalmology | 4648e74e7ae997582d835555fb81a67cf861dcc1 | [
"MIT"
] | 4 | 2022-01-16T17:00:49.000Z | 2022-03-31T09:24:19.000Z | ophthalmology/models/heads.py | LaurenzBeck/ophthalmology | 4648e74e7ae997582d835555fb81a67cf861dcc1 | [
"MIT"
] | null | null | null | ophthalmology/models/heads.py | LaurenzBeck/ophthalmology | 4648e74e7ae997582d835555fb81a67cf861dcc1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""## Task-specific heads
Different heads that expect their inputs to be flattened.
"""
import torch.nn as nn
| 34.212389 | 115 | 0.54656 | # -*- coding: utf-8 -*-
"""## Task-specific heads
Different heads that expect their inputs to be flattened.
"""
from collections import OrderedDict
from typing import List, Optional
import torch.nn as nn
import torch.nn.functional as F
from ophthalmology.layers import activations
class MultilayerHe... | 0 | 0 | 0 | 3,514 | 0 | 0 | 0 | 59 | 146 |
c517b82b69d1346a5efbd9c857d25ef318f0b9c8 | 4,538 | py | Python | provis/utils/__init__.py | czirjakkethz/provis | f442205e0a9e6c6c780eb0c00803af51755d44dd | [
"Apache-2.0"
] | 3 | 2021-12-08T22:37:48.000Z | 2022-01-11T15:15:54.000Z | provis/utils/__init__.py | czirjakkethz/provis | f442205e0a9e6c6c780eb0c00803af51755d44dd | [
"Apache-2.0"
] | null | null | null | provis/utils/__init__.py | czirjakkethz/provis | f442205e0a9e6c6c780eb0c00803af51755d44dd | [
"Apache-2.0"
] | null | null | null | import argparse
import numpy as np
from Bio.PDB import PDBParser
parser = PDBParser()
# RADII for atoms in explicit case.
RADII = {}
RADII["N"] = "1.540000"
RADII["O"] = "1.400000"
RADII["C"] = "1.740000"
RADII["H"] = "1.200000"
RADII["S"] = "1.800000"
RADII["P"] = "1.800000"
RADII["Z"] = "1.39"
RADII["X"] = "0.77000... | 24.663043 | 79 | 0.64015 | import argparse
import numpy as np
import os
from Bio.PDB import PDBParser, Selection
parser = PDBParser()
# RADII for atoms in explicit case.
RADII = {}
RADII["N"] = "1.540000"
RADII["O"] = "1.400000"
RADII["C"] = "1.740000"
RADII["H"] = "1.200000"
RADII["S"] = "1.800000"
RADII["P"] = "1.800000"
RADII["Z"] = "1.39"
... | 0 | 0 | 0 | 0 | 0 | 410 | 0 | -1 | 45 |
af2a2709e2e18e9e7f7e321fcb2d07855fe5b2cc | 447 | py | Python | src/course/migrations/0009_course_summary.py | sacids/acdc-el | ffaeee2fcd1ba7c7daf4b15cf2203295b70c09e5 | [
"MIT"
] | null | null | null | src/course/migrations/0009_course_summary.py | sacids/acdc-el | ffaeee2fcd1ba7c7daf4b15cf2203295b70c09e5 | [
"MIT"
] | 4 | 2021-06-08T22:09:55.000Z | 2022-03-12T00:44:10.000Z | src/course/migrations/0009_course_summary.py | sacids/acdc-el | ffaeee2fcd1ba7c7daf4b15cf2203295b70c09e5 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.9 on 2020-07-24 07:52
| 22.35 | 77 | 0.606264 | # Generated by Django 2.0.9 on 2020-07-24 07:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('course', '0008_auto_20200724_0717'),
]
operations = [
migrations.AddField(
model_name='course',
name='summary',
... | 0 | 0 | 0 | 333 | 0 | 0 | 0 | 19 | 46 |
0428e6ea8b7d37ab7939174584641388a6b49043 | 3,337 | py | Python | src/digitizer/canvas_draw.py | magonzal/CSMJobe | 87b873e3448071b9e9a5732c1ec52a7f6f4bc960 | [
"MIT"
] | null | null | null | src/digitizer/canvas_draw.py | magonzal/CSMJobe | 87b873e3448071b9e9a5732c1ec52a7f6f4bc960 | [
"MIT"
] | 4 | 2021-03-19T01:57:14.000Z | 2022-03-11T23:53:05.000Z | src/digitizer/canvas_draw.py | magonzal/CSMJobe | 87b873e3448071b9e9a5732c1ec52a7f6f4bc960 | [
"MIT"
] | null | null | null | from PyQt5.QtWidgets import QApplication
import sys
if __name__ == "__main__":
app = QApplication(sys.argv)
window = Window()
window.show()
app.exec() | 30.063063 | 124 | 0.625712 | from PyQt5.QtWidgets import QApplication, QMainWindow, QAction, QFileDialog
import sys
from PyQt5.QtGui import QImage, QPainter, QPen
from PyQt5.QtCore import Qt, QPoint
class Window(QMainWindow):
def __init__(self):
super().__init__()
top = 400
left = 400
width = 800
he... | 0 | 0 | 0 | 3,021 | 0 | 0 | 0 | 74 | 68 |
e6843e8c809f8c8fbf6545cc3eb19e2004ca240a | 20,283 | py | Python | astropy/convolution/tests/test_kernel_class.py | guntbert/astropy | f2d2add09e5b1638b2698f19a4d46fcca19e82be | [
"BSD-3-Clause"
] | null | null | null | astropy/convolution/tests/test_kernel_class.py | guntbert/astropy | f2d2add09e5b1638b2698f19a4d46fcca19e82be | [
"BSD-3-Clause"
] | 2 | 2016-11-30T20:31:42.000Z | 2016-12-02T23:50:10.000Z | astropy/convolution/tests/test_kernel_class.py | guntbert/astropy | f2d2add09e5b1638b2698f19a4d46fcca19e82be | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
from astropy.convolution.kernels import (Gaussian1DKernel, Gaussian2DKernel, Box1DKernel, Box2DKernel, Trapezoid1DKernel, TrapezoidDisk2DKernel, MexicanHat1DKernel, Tophat2DKernel, AiryDisk2DKernel, Ring2DKernel)
try:
HAS_SCIPY = Tr... | 36.611913 | 108 | 0.624365 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import itertools
import pytest
import numpy as np
from numpy.testing import assert_almost_equal, assert_allclose
from astropy.convolution.convolve import convolve, convolve_fft
from astropy.convolution.kernels import (
Gaussian1DKernel, Gaussian2DKe... | 0 | 7,627 | 0 | 11,136 | 0 | 0 | 0 | 320 | 207 |
2f3951c4ff177d54f1fe4c26689995c77d9575f0 | 13,089 | py | Python | mlem/hype.py | tlby/rnd-html | 66239829d262bf83a7f4dd1b2968e0c14a7543e8 | [
"MIT"
] | 1 | 2021-09-01T10:39:05.000Z | 2021-09-01T10:39:05.000Z | mlem/hype.py | tlby/rnd-html | 66239829d262bf83a7f4dd1b2968e0c14a7543e8 | [
"MIT"
] | null | null | null | mlem/hype.py | tlby/rnd-html | 66239829d262bf83a7f4dd1b2968e0c14a7543e8 | [
"MIT"
] | null | null | null | import numpy
import ray.tune
import transformers
def default_hp_space():
''' set of the traditional hp_search params (not model settings) '''
dflt = transformers.TrainingArguments
space = {}
samples = 1
if True:
space['learning_rate'] = ray.tune.loguniform(
dflt.learning_rate / ... | 41.031348 | 91 | 0.597219 |
import contextlib
import itertools
import json
import os
import pathlib
import shutil
import sys
import typing
import datasets
import numpy
import ray.tune
import transformers
from . import metric
from . import tok
from . import train
class TailScheduler(ray.tune.schedulers.trial_scheduler.FIFOScheduler):
''' T... | 0 | 0 | 0 | 6,888 | 2,406 | 2,909 | 0 | -78 | 382 |
eed150cea8d8cc14e4e707364618e2738e45cf7f | 359 | py | Python | exercises/practice/darts/.meta/example.py | samr1ddh1/python-1 | 8998d30bb0d6665dd233354670f21c4d11c2f1a0 | [
"MIT"
] | 1,177 | 2017-06-21T20:24:06.000Z | 2022-03-29T02:30:55.000Z | exercises/practice/darts/.meta/example.py | samr1ddh1/python-1 | 8998d30bb0d6665dd233354670f21c4d11c2f1a0 | [
"MIT"
] | 1,890 | 2017-06-18T20:06:10.000Z | 2022-03-31T18:35:51.000Z | exercises/practice/darts/.meta/example.py | samr1ddh1/python-1 | 8998d30bb0d6665dd233354670f21c4d11c2f1a0 | [
"MIT"
] | 1,095 | 2017-06-26T23:06:19.000Z | 2022-03-29T03:25:38.000Z |
# X, and Y variable names against [pylint]: C0104, but is the same as the stub, advise not to change this.
| 23.933333 | 106 | 0.601671 | from math import sqrt
# X, and Y variable names against [pylint]: C0104, but is the same as the stub, advise not to change this.
def score(x, y):
dart_location = sqrt(x * x + y * y)
if dart_location <= 1.0:
return 10
elif dart_location <= 5.0:
return 5
elif dart_location <= 10.0:
... | 0 | 0 | 0 | 0 | 0 | 207 | 0 | 0 | 44 |
d9be3572d7e803358eec7d2a525f2fbbaccad773 | 1,999 | py | Python | pages/predictions.py | geraldm24/Sherrif-Sale | 0332146d0b7d069dcf1f1ee574c75870f6d95962 | [
"MIT"
] | null | null | null | pages/predictions.py | geraldm24/Sherrif-Sale | 0332146d0b7d069dcf1f1ee574c75870f6d95962 | [
"MIT"
] | null | null | null | pages/predictions.py | geraldm24/Sherrif-Sale | 0332146d0b7d069dcf1f1ee574c75870f6d95962 | [
"MIT"
] | null | null | null | # Imports from 3rd party libraries
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Imports from this application
from app import app
# 2 column layout. 1st column width = 4/12
# https://dash-bootst... | 29.835821 | 105 | 0.565283 | # Imports from 3rd party libraries
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Imports from this application
from app import app
# 2 column layout. 1st column width = 4/12
# https://dash-bootst... | 0 | 481 | 0 | 0 | 0 | 0 | 0 | 0 | 22 |
522c1b3143648ec771e92b1c9ef79cc1e16c0474 | 8,719 | py | Python | processor/processor.py | maxingan2412/CIL-ReID | 0307ca57a5da9cfcb30fc3810469b0a953c77bfb | [
"MIT"
] | 58 | 2021-09-02T13:09:57.000Z | 2022-03-20T06:44:56.000Z | processor/processor.py | maxingan2412/CIL-ReID | 0307ca57a5da9cfcb30fc3810469b0a953c77bfb | [
"MIT"
] | 5 | 2021-11-19T06:38:43.000Z | 2022-03-31T13:48:11.000Z | processor/processor.py | maxingan2412/CIL-ReID | 0307ca57a5da9cfcb30fc3810469b0a953c77bfb | [
"MIT"
] | 12 | 2021-11-03T21:32:12.000Z | 2022-03-19T07:55:08.000Z | import torch.nn as nn
| 41.127358 | 91 | 0.487097 | import logging
import os
import time
import torch
import torch.nn as nn
from utils.meter import AverageMeter
from utils.metrics import R1_mAP_eval
from torch.cuda import amp
import torchvision
import torch.nn.functional as F
import numpy as np
import math
import random
def do_train(cfg, model, center_criterion, trai... | 0 | 0 | 0 | 0 | 0 | 8,400 | 0 | -16 | 311 |
3386bb8e72b59228558867ce6d016eb0556a45ff | 11,620 | py | Python | deepreg/dataset/preprocess.py | mathpluscode/DeepReg | 80854094feafec998fa6237199066556c73f31f9 | [
"Apache-2.0"
] | null | null | null | deepreg/dataset/preprocess.py | mathpluscode/DeepReg | 80854094feafec998fa6237199066556c73f31f9 | [
"Apache-2.0"
] | null | null | null | deepreg/dataset/preprocess.py | mathpluscode/DeepReg | 80854094feafec998fa6237199066556c73f31f9 | [
"Apache-2.0"
] | null | null | null | """
Module containing data augmentation techniques.
- 3D Affine/DDF Transforms for moving and fixed images.
"""
from typing import Dict
import tensorflow as tf
from deepreg.model.layer_util import (resize3d)
def resize_inputs(
inputs: Dict[str, tf.Tensor], moving_image_size: tuple, fixed_image_size: tuple
... | 35.319149 | 88 | 0.629604 | """
Module containing data augmentation techniques.
- 3D Affine/DDF Transforms for moving and fixed images.
"""
from abc import abstractmethod
from typing import Dict
import tensorflow as tf
from deepreg.model.layer_util import (
gen_rand_affine_transform,
gen_rand_ddf,
get_reference_grid,
resample... | 0 | 5,720 | 0 | 3,375 | 0 | 0 | 0 | 134 | 114 |
3d30934d590182a66314e5ed5cf4a07887f68276 | 3,400 | py | Python | tests/color_seg_test.py | osrf/baxter_demos | 1678291de6addb7c3d5ac0391ccd5917398ab195 | [
"Apache-2.0"
] | 29 | 2015-03-05T19:03:00.000Z | 2021-08-11T05:48:51.000Z | tests/color_seg_test.py | rethink-imcmahon/baxter_demos | 1678291de6addb7c3d5ac0391ccd5917398ab195 | [
"Apache-2.0"
] | 1 | 2016-01-30T21:22:07.000Z | 2016-02-04T19:33:24.000Z | tests/color_seg_test.py | rethink-imcmahon/baxter_demos | 1678291de6addb7c3d5ac0391ccd5917398ab195 | [
"Apache-2.0"
] | 12 | 2015-01-30T17:14:15.000Z | 2021-01-27T07:54:54.000Z | #!/usr/bin/env python
"""Script to test functionality of object_finder color segmentation
User needs to manually run object_finder and subscribe to topic name specified here
"""
global centroid, axis
centroid = None
axis = None
topic_name = "object_finder_test"
if __name__ == "__main__":
main()
| 34.343434 | 95 | 0.635294 | #!/usr/bin/env python
import os
import sys
import rospy
import cv, cv2, cv_bridge
import numpy
from baxter_demos.msg import BlobInfo, BlobInfoArray
from sensor_msgs.msg import Image
import argparse
"""Script to test functionality of object_finder color segmentation
User needs to manually run object_finder and subscri... | 0 | 0 | 0 | 0 | 0 | 2,890 | 0 | 0 | 200 |
428f0920eed0cf67809036bf2a2b9352b10760a0 | 362 | py | Python | app/admin/__init__.py | crudgenerator-io/django-admin-panel | b0f2d6a3ffd73a4b6e0608de486aff2cdb046222 | [
"CC-BY-4.0"
] | 1 | 2021-06-23T20:17:01.000Z | 2021-06-23T20:17:01.000Z | app/admin/__init__.py | crudgenerator-io/django-admin-panel | b0f2d6a3ffd73a4b6e0608de486aff2cdb046222 | [
"CC-BY-4.0"
] | null | null | null | app/admin/__init__.py | crudgenerator-io/django-admin-panel | b0f2d6a3ffd73a4b6e0608de486aff2cdb046222 | [
"CC-BY-4.0"
] | null | null | null | from .sites import site
from .options import ModelAdmin
from django.contrib.admin import register
__all__ = ["site", 'register', 'autodiscover', 'ModelAdmin']
| 30.166667 | 66 | 0.790055 | from .sites import site
from django.utils.module_loading import autodiscover_modules
from .options import ModelAdmin
from django.contrib.admin import register
def autodiscover():
autodiscover_modules('admin', register_to=site)
autodiscover_modules('django.contrib.admin', register_to=site)
__all__ = ["site", ... | 0 | 0 | 0 | 0 | 0 | 117 | 0 | 39 | 45 |
bb690f26bd5f0581b1c0c1e8c3fb65fcff126d2e | 1,663 | py | Python | tests/orca_unit_testing/test_function_binary_operator_mul.py | jiajiaxu123/Orca | e86189e70c1d0387816bb98b8047a6232fbda9df | [
"Apache-2.0"
] | 20 | 2019-12-02T11:49:12.000Z | 2021-12-24T19:34:32.000Z | tests/orca_unit_testing/test_function_binary_operator_mul.py | jiajiaxu123/Orca | e86189e70c1d0387816bb98b8047a6232fbda9df | [
"Apache-2.0"
] | null | null | null | tests/orca_unit_testing/test_function_binary_operator_mul.py | jiajiaxu123/Orca | e86189e70c1d0387816bb98b8047a6232fbda9df | [
"Apache-2.0"
] | 5 | 2019-12-02T12:16:22.000Z | 2021-10-22T02:27:47.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 35.382979 | 120 | 0.594708 | import unittest
import orca
from setup.settings import *
from pandas.util.testing import *
class FunctionMulTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
# connect to a DolphinDB server
orca.connect(HOST, PORT, "admin", "123456")
@property
def pdf(self):
return pd... | 0 | 426 | 0 | 1,073 | 0 | 0 | 0 | 9 | 89 |
3c268e4f8083266094f8b9d84282315b5a5ef55c | 11,999 | py | Python | src/photometry/QueryCatalogue.py | nblago/utils | 862a34eb9820474d1071e5ac2eec58d66d297649 | [
"MIT"
] | 1 | 2021-02-25T11:18:20.000Z | 2021-02-25T11:18:20.000Z | src/photometry/QueryCatalogue.py | nblago/utils | 862a34eb9820474d1071e5ac2eec58d66d297649 | [
"MIT"
] | null | null | null | src/photometry/QueryCatalogue.py | nblago/utils | 862a34eb9820474d1071e5ac2eec58d66d297649 | [
"MIT"
] | 1 | 2020-01-27T03:45:18.000Z | 2020-01-27T03:45:18.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 7 13:26:06 2017
@author: nblago
"""
from __future__ import print_function
try:
# For Python 3.0 and later
from urllib.request import urlopen
from urllib.request import urlretrieve
from urllib.request import HTTPError
except ImportError:
# Fall... | 41.375862 | 328 | 0.574798 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 7 13:26:06 2017
@author: nblago
"""
from __future__ import print_function
import datetime
from astropy.io import votable
import numpy as np
import os
import logging
import warnings
from astropy import units as u
from astropy.coordinates import SkyCoord
from astropy.tab... | 0 | 0 | 0 | 11,203 | 0 | 0 | 0 | 72 | 373 |
8746143745c244455ade1c1fc288e9483445b512 | 417 | py | Python | ocv05-03.py | LeeCheahyun/20210823-0930 | 12927fe918452b3e7da5fcd4d31da6095c400106 | [
"Apache-2.0"
] | null | null | null | ocv05-03.py | LeeCheahyun/20210823-0930 | 12927fe918452b3e7da5fcd4d31da6095c400106 | [
"Apache-2.0"
] | null | null | null | ocv05-03.py | LeeCheahyun/20210823-0930 | 12927fe918452b3e7da5fcd4d31da6095c400106 | [
"Apache-2.0"
] | null | null | null | import cv2
cap = cv2.VideoCapture(0)
w = round(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
h = round(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fourcc = cv2.VideoWriter_fourcc(*'DIVX') # *'DIVX' == 'D','I','V','X'
out = cv2.VideoWriter('output.avi', fourcc, 30, (w, h))
while True: #
ret, frame = cap.read()
out.write(fram... | 21.947368 | 69 | 0.621103 | import cv2
cap = cv2.VideoCapture(0)
w = round(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
h = round(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fourcc = cv2.VideoWriter_fourcc(*'DIVX') # *'DIVX' == 'D','I','V','X'
out = cv2.VideoWriter('output.avi', fourcc, 30, (w, h))
while True: # 카메라 프레임 처리
ret, frame = cap.read()
out.wr... | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3efb0f4e68fa2469df0b36b596c81774fdf9a7bc | 3,241 | py | Python | packages/w3af/w3af/plugins/tests/audit/test_rosetta_flash.py | ZooAtmosphereGroup/HelloPackages | 0ccffd33bf927b13d28c8f715ed35004c33465d9 | [
"Apache-2.0"
] | 3 | 2019-04-09T22:59:33.000Z | 2019-06-14T09:23:24.000Z | tools/w3af/w3af/plugins/tests/audit/test_rosetta_flash.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | tools/w3af/w3af/plugins/tests/audit/test_rosetta_flash.py | sravani-m/Web-Application-Security-Framework | d9f71538f5cba6fe1d8eabcb26c557565472f6a6 | [
"MIT"
] | null | null | null | """
test_rosetta_flash.py
Copyright 2015 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation version 2 of the License.
w3af is distributed in the ho... | 33.071429 | 79 | 0.630052 | """
test_rosetta_flash.py
Copyright 2015 Andres Riancho
This file is part of w3af, http://w3af.org/ .
w3af is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation version 2 of the License.
w3af is distributed in the ho... | 0 | 0 | 0 | 2,282 | 0 | 0 | 0 | 39 | 90 |
c69bf6e7f07c44751e177c6adab9529d91097593 | 1,309 | py | Python | tests/test_check_pesel.py | gunater/check-personal-identity-number-and-credit-card | 41a0241a84b7ffb7852dcaa3a5a8989e02c93709 | [
"MIT"
] | null | null | null | tests/test_check_pesel.py | gunater/check-personal-identity-number-and-credit-card | 41a0241a84b7ffb7852dcaa3a5a8989e02c93709 | [
"MIT"
] | null | null | null | tests/test_check_pesel.py | gunater/check-personal-identity-number-and-credit-card | 41a0241a84b7ffb7852dcaa3a5a8989e02c93709 | [
"MIT"
] | null | null | null |
correct_pesel = ["53052486359", "94120679457", "01240316649"]
too_long_pesel = "5305248635923"
too_short_pesel = "530524863"
with_letters_pesel = "530524d6a59"
bad_pesel = "53052486339"
| 32.725 | 72 | 0.680672 | from check_personal_identity_number_and_credit_card.check_Pesel import (
valid_pesel,
check_control_sum_pesel,
check_age,
pesel,
)
correct_pesel = ["53052486359", "94120679457", "01240316649"]
too_long_pesel = "5305248635923"
too_short_pesel = "530524863"
with_letters_pesel = "530524d6a59"
bad_pesel = ... | 0 | 0 | 0 | 951 | 0 | 0 | 0 | 125 | 45 |
d0ea0f81ad41b5fd3a5b1d8e6250b27779b573b0 | 4,230 | py | Python | modules/python/ircd/channel.py | oftc/oftc-ircd | 4d03219f6b7e2aeda8b7848eea4294b7b85aad12 | [
"MIT"
] | 2 | 2015-01-11T19:14:24.000Z | 2016-12-08T16:00:10.000Z | modules/python/ircd/channel.py | oftc/oftc-ircd | 4d03219f6b7e2aeda8b7848eea4294b7b85aad12 | [
"MIT"
] | null | null | null | modules/python/ircd/channel.py | oftc/oftc-ircd | 4d03219f6b7e2aeda8b7848eea4294b7b85aad12 | [
"MIT"
] | 3 | 2021-05-02T17:15:51.000Z | 2021-05-02T17:16:04.000Z | # Copyright (c) 2012 Stuart Walsh
#
# 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... | 25.792683 | 114 | 0.661702 | # Copyright (c) 2012 Stuart Walsh
#
# 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... | 0 | 0 | 0 | 0 | 0 | 2,957 | 0 | 20 | 137 |
5bfaaef406adc5205b6eadfd38c9c70fb073c4e4 | 457 | py | Python | source/convert.py | sanixa/GS-WGAN-custom | 77660d4ba9f0e8ae949d76c29bb1b11d0afd9f96 | [
"MIT"
] | null | null | null | source/convert.py | sanixa/GS-WGAN-custom | 77660d4ba9f0e8ae949d76c29bb1b11d0afd9f96 | [
"MIT"
] | null | null | null | source/convert.py | sanixa/GS-WGAN-custom | 77660d4ba9f0e8ae949d76c29bb1b11d0afd9f96 | [
"MIT"
] | null | null | null | import os, sys
import torch
import torch.nn as nn
args = parse_arguments()
if not os.path.isfile(args.checkpoint):
sys.exit("model does not exist")
print(f"converting {args.checkpoint}...")
model = GeneratorDCGAN(z_dim=args.z_dim, model_dim=args.model_dim, num_classes=10)
model = torch.load(args.checkpoin... | 30.466667 | 86 | 0.752735 | import os, sys
import torch
import torch.nn as nn
from models import *
from config import *
args = parse_arguments()
if not os.path.isfile(args.checkpoint):
sys.exit("model does not exist")
print(f"converting {args.checkpoint}...")
model = GeneratorDCGAN(z_dim=args.z_dim, model_dim=args.model_dim, num_cl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 46 |
d388bef2e8272db16390467dbcf230825fe941af | 1,712 | py | Python | theano/sandbox/mkl/tests/gen_relu_graph.py | intel/Theano-dev | 6ca6fd4646f9e958058c7bce52cd51923c05c2f4 | [
"BSD-3-Clause"
] | 64 | 2016-10-02T20:41:56.000Z | 2020-03-11T14:59:40.000Z | theano/sandbox/mkl/tests/gen_relu_graph.py | intel/Theano-dev | 6ca6fd4646f9e958058c7bce52cd51923c05c2f4 | [
"BSD-3-Clause"
] | 4 | 2017-06-12T05:12:38.000Z | 2018-03-15T03:16:30.000Z | theano/sandbox/mkl/tests/gen_relu_graph.py | intel/Theano-dev | 6ca6fd4646f9e958058c7bce52cd51923c05c2f4 | [
"BSD-3-Clause"
] | 30 | 2016-10-27T21:59:00.000Z | 2021-02-20T09:55:14.000Z | from nose.plugins.skip import SkipTest
from theano import tensor as T
from theano.sandbox import mkl
if not mkl.mkl_available:
raise SkipTest('Optional package MKL disabled')
if __name__ == '__main__':
x = T.ftensor4('x_4D')
run_test('forward', x)
run_test('backward', x)
x = T.fmatrix('x_2D')
... | 34.24 | 127 | 0.672897 | import numpy as np
from nose.plugins.skip import SkipTest
import theano
from theano import tensor as T
from theano.sandbox import mkl
if not mkl.mkl_available:
raise SkipTest('Optional package MKL disabled')
def run_test(direction='forward', x=T.ftensor4('x')):
print ('=' * 60)
print ('generate relu gra... | 0 | 0 | 0 | 0 | 0 | 1,281 | 0 | -11 | 68 |
ee86da67b9084c628346ac2c39f027c911d95b44 | 1,874 | py | Python | plugins/google_drive/komand_google_drive/actions/move_file/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/google_drive/komand_google_drive/actions/move_file/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/google_drive/komand_google_drive/actions/move_file/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | # GENERATED BY KOMAND SDK - DO NOT EDIT
| 20.822222 | 113 | 0.548559 | # GENERATED BY KOMAND SDK - DO NOT EDIT
import insightconnect_plugin_runtime
import json
class Component:
DESCRIPTION = "Move a file to a different folder"
class Input:
FILE_ID = "file_id"
FOLDER_ID = "folder_id"
class Output:
RESULT = "result"
class MoveFileInput(insightconnect_plugin_r... | 0 | 0 | 0 | 1,657 | 0 | 0 | 0 | 5 | 159 |
090bb49c88937ae4b1c640c78bdf2f197dc7e4fb | 339 | py | Python | smartmirror/mod_uber/utils/__init__.py | nirmitdesai/smartmirror | e4973e02469989501e8b9a5c6aa05d7228b06cf2 | [
"BSD-3-Clause"
] | null | null | null | smartmirror/mod_uber/utils/__init__.py | nirmitdesai/smartmirror | e4973e02469989501e8b9a5c6aa05d7228b06cf2 | [
"BSD-3-Clause"
] | null | null | null | smartmirror/mod_uber/utils/__init__.py | nirmitdesai/smartmirror | e4973e02469989501e8b9a5c6aa05d7228b06cf2 | [
"BSD-3-Clause"
] | null | null | null |
'''curl -F 'client_id=M5TNy7T9h9n8xUOQ_uWSHVLdGvfw7u6H' \
-F 'client_secret=w5P7E4Ld54d_ai3lJRhAgkU_9oWbKd9kkTJHfPgf' \
-F 'grant_type=authorization_code' \
-F 'redirect_uri=https://9bbc25ce.ngrok.io' \
-F 'code=fMiym9aqxIPA6aEIDgZcHRk0BBwVM4' \
https://login.uber.com/oauth/v2/token'''
| 33.9 | 66 | 0.722714 | from uberUtils import *
'''curl -F 'client_id=M5TNy7T9h9n8xUOQ_uWSHVLdGvfw7u6H' \
-F 'client_secret=w5P7E4Ld54d_ai3lJRhAgkU_9oWbKd9kkTJHfPgf' \
-F 'grant_type=authorization_code' \
-F 'redirect_uri=https://9bbc25ce.ngrok.io' \
-F 'code=fMiym9aqxIPA6aEIDgZcHRk0BBwVM4' \
https://login.uber.com/o... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22 |
e495962ef8e4e01ab3563b0bde8ad2b71a3bb4ea | 1,470 | py | Python | horizon/openstack_dashboard/dashboards/admin/cdn/urls.py | yianjiajia/openstack_horizon | 9e36a4c3648ef29d0df6912d990465f51d6124a6 | [
"Apache-2.0"
] | null | null | null | horizon/openstack_dashboard/dashboards/admin/cdn/urls.py | yianjiajia/openstack_horizon | 9e36a4c3648ef29d0df6912d990465f51d6124a6 | [
"Apache-2.0"
] | null | null | null | horizon/openstack_dashboard/dashboards/admin/cdn/urls.py | yianjiajia/openstack_horizon | 9e36a4c3648ef29d0df6912d990465f51d6124a6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the... | 42 | 82 | 0.708844 | # Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6c42976620655f375bda0227097f091d6e6fda10 | 1,946 | py | Python | chapter_10/rad.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_10/rad.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_10/rad.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | "Reloading Callback Handlers Dynamically"
# reload callback handlers dynamically
Hello().mainloop()
'''
You can change this file any number of times while the rad
scripts GUI is active; each time you do so, youll change the behavior of the GUI when
a button press occurs.
'''
"""
There are other ways to change a GU... | 37.423077 | 106 | 0.656732 | "Reloading Callback Handlers Dynamically"
# reload callback handlers dynamically
from tkinter import *
import radactions # get initial callback handlers
from importlib import reload
class Hello(Frame):
def __init__(self, master=None):
Frame.__init__(self, master)... | 12 | 0 | 0 | 911 | 0 | 0 | 0 | 3 | 164 |
8b319d24da7fff6704db8b2901eaa45b96cb330d | 5,447 | py | Python | homopolymer_fit/generate_fitting_eqns.py | barricklab-at-jhu/Ising_programs | 95313e3e9c783251859c6b79110cacce15d30e30 | [
"Apache-2.0"
] | 4 | 2020-06-15T00:27:43.000Z | 2021-03-01T15:59:12.000Z | homopolymer_fit/generate_fitting_eqns.py | barricklab-at-jhu/Ising_programs | 95313e3e9c783251859c6b79110cacce15d30e30 | [
"Apache-2.0"
] | 2 | 2020-06-07T23:05:26.000Z | 2020-06-17T12:02:26.000Z | homopolymer_fit/generate_fitting_eqns.py | barricklab-at-jhu/Ising_programs | 95313e3e9c783251859c6b79110cacce15d30e30 | [
"Apache-2.0"
] | 3 | 2020-05-21T13:54:18.000Z | 2021-03-08T13:00:44.000Z | """
Generates partition function and fraction folded expressions for an NRC
capped homopolymer series, and generates a list of experiment filenames (melts) and a constructs list.
"""
from __future__ import division
import sympy as sp
import numpy as np
import json
import os
import time
start = time.time()
print("\nG... | 33.832298 | 119 | 0.649165 | """
Generates partition function and fraction folded expressions for an NRC
capped homopolymer series, and generates a list of experiment filenames (melts) and a constructs list.
"""
from __future__ import division
import sympy as sp
import numpy as np
import json
import os
import time
start = time.time()
print("\nG... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2abbec530b0b19f720dbd1fb7fdd515eee75a2fb | 1,131 | py | Python | vis.py | heyfaraday/FORTCMB | 56366423546ca73e876eda58dc8a01a25e640098 | [
"MIT"
] | null | null | null | vis.py | heyfaraday/FORTCMB | 56366423546ca73e876eda58dc8a01a25e640098 | [
"MIT"
] | null | null | null | vis.py | heyfaraday/FORTCMB | 56366423546ca73e876eda58dc8a01a25e640098 | [
"MIT"
] | 1 | 2022-02-13T04:26:12.000Z | 2022-02-13T04:26:12.000Z | from numpy import genfromtxt, zeros
from math import pi
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
map = genfromtxt('out.dat')
N = 512
projection = 'cyl' # 'cyl', 'moll', 'ortho'
save_as_png = False
save_as_svg = False
inside_map = zeros((int(N + 1), int(N / 2 + 1)))
x = zeros((int(N ... | 25.133333 | 78 | 0.59328 | from numpy import genfromtxt, zeros
from math import pi
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
map = genfromtxt('out.dat')
N = 512
projection = 'cyl' # 'cyl', 'moll', 'ortho'
save_as_png = False
save_as_svg = False
inside_map = zeros((int(N + 1), int(N / 2 + 1)))
x = zeros((int(N ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f976c62eb02030389333a34d112076202fe4c488 | 19,495 | py | Python | mtrack/track.py | nilsec/mtrack | 76652c468417c7e3ac9903586c0127b884d6b032 | [
"MIT"
] | null | null | null | mtrack/track.py | nilsec/mtrack | 76652c468417c7e3ac9903586c0127b884d6b032 | [
"MIT"
] | null | null | null | mtrack/track.py | nilsec/mtrack | 76652c468417c7e3ac9903586c0127b884d6b032 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
def connect_candidates_alias(db,
name_db,
collection,
x_lim,
y_lim,
z_lim,
distance_thresh... | 40.195876 | 104 | 0.435086 | from mtrack.cores import CoreSolver, CoreBuilder, DB
from mtrack.preprocessing import g1_to_nml, Chunker, extract_maxima_candidates
from mtrack.mt_utils import read_config, check_overlap
from mtrack.graphs.g1_graph import G1
from solve import solve
import numpy as np
import h5py
import os
import multiprocessing, loggi... | 0 | 0 | 0 | 0 | 0 | 18,359 | 0 | 94 | 402 |
1eab90f1fd53a4ac5c846f2d750d464eed7f1363 | 11,872 | py | Python | lib/model/test_table.py | acetal/rcnn_edit | e46387069ac24866706af611de4080a067372c24 | [
"MIT"
] | null | null | null | lib/model/test_table.py | acetal/rcnn_edit | e46387069ac24866706af611de4080a067372c24 | [
"MIT"
] | null | null | null | lib/model/test_table.py | acetal/rcnn_edit | e46387069ac24866706af611de4080a067372c24 | [
"MIT"
] | null | null | null | # --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ impor... | 35.020649 | 149 | 0.624158 | # --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Xinlei Chen
# --------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ impor... | 0 | 0 | 0 | 0 | 0 | 6,949 | 0 | 72 | 181 |
bcc137f145313c8049b02eb3ca4c6ca9ac2fd6ce | 1,644 | py | Python | preprocessing/data_dist.py | SLAB-NLP/Akk | baa07b0fdf8c7d8623fbd78508867c30a8a7ff6d | [
"MIT"
] | 5 | 2021-09-14T07:09:07.000Z | 2021-11-15T19:43:13.000Z | preprocessing/data_dist.py | SLAB-NLP/Akk | baa07b0fdf8c7d8623fbd78508867c30a8a7ff6d | [
"MIT"
] | null | null | null | preprocessing/data_dist.py | SLAB-NLP/Akk | baa07b0fdf8c7d8623fbd78508867c30a8a7ff6d | [
"MIT"
] | 1 | 2021-11-15T19:43:19.000Z | 2021-11-15T19:43:19.000Z |
import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
| 35.73913 | 111 | 0.627737 | import glob
from collections import Counter
from typing import List
import sys
import os
import json
from preprocessing.scraping import JSONS_DIR
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
def split_data_by_properties(preprocessed_data_path: str, properties: List[str]... | 0 | 0 | 0 | 0 | 0 | 1,357 | 0 | 15 | 157 |
6b23d6692add9b9a98b483da8e2817f82a552379 | 1,102 | py | Python | expenses_trasker/expenses_tracker/main_app/validators.py | ivailoiliev84/Web_basic_exams_preparation_and_exam | 411cc7b737fc5044029a52bd14a5d75ce79cd39e | [
"MIT"
] | null | null | null | expenses_trasker/expenses_tracker/main_app/validators.py | ivailoiliev84/Web_basic_exams_preparation_and_exam | 411cc7b737fc5044029a52bd14a5d75ce79cd39e | [
"MIT"
] | null | null | null | expenses_trasker/expenses_tracker/main_app/validators.py | ivailoiliev84/Web_basic_exams_preparation_and_exam | 411cc7b737fc5044029a52bd14a5d75ce79cd39e | [
"MIT"
] | null | null | null |
# def validator_file_max_size_in_mb(max_size):
# def validate_image(fieldfile_obj):
# filesize = fieldfile_obj.file.size
# megabyte_limit = 5.0
# if filesize > megabyte_limit * 1024 * 1024:
# raise ValidationError("Max file size is %sMB" % str(max_size))
#
# return validat... | 29.783784 | 77 | 0.696915 | from django.core.exceptions import ValidationError
from django.utils.deconstruct import deconstructible
def validator_only_letters(value):
for letter in value:
if not letter.isalpha():
raise ValidationError("Ensure this value contains only letters.")
# def validator_file_max_size_in_mb(max_s... | 0 | 473 | 0 | 0 | 0 | 149 | 0 | 60 | 90 |
1fab464dec76210051981c698a37ce8f75459807 | 1,588 | py | Python | tests/smoke/test_supplier_redirects.py | mayank-sfdc/directory-tests | 6e978bc1a27c19389e99e454143122aa27e47b85 | [
"MIT"
] | 4 | 2017-06-02T09:09:10.000Z | 2018-01-25T19:06:12.000Z | tests/smoke/test_supplier_redirects.py | mayank-sfdc/directory-tests | 6e978bc1a27c19389e99e454143122aa27e47b85 | [
"MIT"
] | 53 | 2016-10-27T22:31:03.000Z | 2022-03-07T11:18:25.000Z | tests/smoke/test_supplier_redirects.py | mayank-sfdc/directory-tests | 6e978bc1a27c19389e99e454143122aa27e47b85 | [
"MIT"
] | 3 | 2017-11-22T11:42:40.000Z | 2022-02-21T01:20:04.000Z | # -*- coding: utf-8 -*-
import allure
pytestmark = [allure.suite("FAS redirects"), allure.feature("FAS redirects")]
| 31.76 | 87 | 0.657431 | # -*- coding: utf-8 -*-
import pytest
from rest_framework.status import HTTP_302_FOUND
import allure
from directory_tests_shared import URLs
from tests.smoke.cms_api_helpers import get_and_assert
pytestmark = [allure.suite("FAS redirects"), allure.feature("FAS redirects")]
@allure.issue("CMS-1834", "Links to legacy... | 0 | 1,288 | 0 | 0 | 0 | 0 | 0 | 70 | 111 |
8dd6f051e01a06aeb045a540a5929cb21ec06c98 | 1,477 | py | Python | plot_bw.py | hotpxl/low-rate-tcp-dos | 25cf181080e4ff759edef438982b5e3d811797e7 | [
"MIT"
] | 3 | 2018-06-11T05:34:05.000Z | 2020-11-06T05:23:34.000Z | plot_bw.py | hotpxl/low-rate-tcp-dos | 25cf181080e4ff759edef438982b5e3d811797e7 | [
"MIT"
] | 1 | 2021-11-09T12:25:13.000Z | 2021-11-09T12:25:13.000Z | plot_bw.py | hotpxl/low-rate-tcp-dos | 25cf181080e4ff759edef438982b5e3d811797e7 | [
"MIT"
] | 4 | 2019-08-24T12:55:53.000Z | 2022-03-07T12:03:33.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import matplotlib
matplotlib.use('agg')
TRANSFER_MB = 2 # Data transfered in megabytes
BOTTLENECK_LINK = 1.5 # Mbps
if __name__ == '__main__':
main()
| 30.770833 | 78 | 0.602573 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import math
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import numpy as np
import sys
TRANSFER_MB = 2 # Data transfered in me... | 0 | 0 | 0 | 0 | 0 | 1,055 | 0 | -26 | 133 |
309ef6cad1487772dcd56122ffc13161cac69638 | 1,786 | py | Python | setup.py | LimnoTech/ODM2PythonAPI | a5088ac8ecee9213e994fc0a71831825a9e05541 | [
"BSD-3-Clause"
] | 4 | 2018-11-30T04:04:16.000Z | 2021-07-09T07:29:23.000Z | setup.py | LimnoTech/ODM2PythonAPI | a5088ac8ecee9213e994fc0a71831825a9e05541 | [
"BSD-3-Clause"
] | 156 | 2015-05-20T00:17:08.000Z | 2019-05-11T06:13:50.000Z | setup.py | LimnoTech/ODM2PythonAPI | a5088ac8ecee9213e994fc0a71831825a9e05541 | [
"BSD-3-Clause"
] | 13 | 2015-06-28T04:16:05.000Z | 2020-04-02T08:08:19.000Z | from __future__ import (absolute_import, division, print_function)
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
import os
from codecs import open
from setuptools import find_packages, setup
import versioneer
here = os.p... | 30.793103 | 80 | 0.679171 | from __future__ import (absolute_import, division, print_function)
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
import os
from codecs import open
from setuptools import find_packages, setup
import versioneer
here = os.p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5c35a52458575245235118efec3d3bd1bbf76d61 | 9,151 | py | Python | src/zptess/gui/preferences/base.py | STARS4ALL/zptess | 9bbe91720f283756a0938c7ac4dde180c1e1eda2 | [
"MIT"
] | null | null | null | src/zptess/gui/preferences/base.py | STARS4ALL/zptess | 9bbe91720f283756a0938c7ac4dde180c1e1eda2 | [
"MIT"
] | null | null | null | src/zptess/gui/preferences/base.py | STARS4ALL/zptess | 9bbe91720f283756a0938c7ac4dde180c1e1eda2 | [
"MIT"
] | null | null | null | # ----------------------------------------------------------------------
# Copyright (c) 2022
#
# See the LICENSE file for details
# see the AUTHORS file for authors
# ----------------------------------------------------------------------
#################################
## APPLICATION SPECIFIC WIDGETS #
############... | 36.751004 | 151 | 0.592176 | # ----------------------------------------------------------------------
# Copyright (c) 2022
#
# See the LICENSE file for details
# see the AUTHORS file for authors
# ----------------------------------------------------------------------
#################################
## APPLICATION SPECIFIC WIDGETS #
############... | 0 | 0 | 0 | 7,786 | 0 | 0 | 0 | 87 | 230 |
2d4c5d177119cdc4f9418e772326973cfca6b69d | 291 | py | Python | fontFeatures/ttLib/Chaining.py | chrissimpkins/fontFeatures | 5e9187066fe431d3cacb30c605da4104f78692e6 | [
"BSD-3-Clause"
] | 51 | 2020-01-15T09:28:51.000Z | 2022-03-30T06:48:36.000Z | fontFeatures/ttLib/Chaining.py | chrissimpkins/fontFeatures | 5e9187066fe431d3cacb30c605da4104f78692e6 | [
"BSD-3-Clause"
] | 51 | 2020-05-11T18:51:25.000Z | 2021-12-20T12:55:08.000Z | fontFeatures/ttLib/Chaining.py | chrissimpkins/fontFeatures | 5e9187066fe431d3cacb30c605da4104f78692e6 | [
"BSD-3-Clause"
] | 8 | 2020-08-28T20:03:14.000Z | 2021-12-08T01:22:28.000Z | """ttLib.Chaining: Converting Chaining rules to TrueType."""
def lookup_type(self):
"""Mixin to determine the GSUB/GPOS lookup type of a fontFeatures.Chaining object
Returns: integer GSUB/GPOS lookup type."""
if self.stage == "pos":
return 8
else:
return 6
| 26.454545 | 85 | 0.666667 | """ttLib.Chaining: Converting Chaining rules to TrueType."""
def lookup_type(self):
"""Mixin to determine the GSUB/GPOS lookup type of a fontFeatures.Chaining object
Returns: integer GSUB/GPOS lookup type."""
if self.stage == "pos":
return 8
else:
return 6
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
864718a7faa2a31e72476dc90b9d51129a5954d8 | 6,151 | py | Python | apps/greencheck/forms.py | thegreenwebfoundation/greenwebfoundation-admin | 4ecf087fc7a305b410fe9dc5c13c721f98755ad7 | [
"Apache-2.0"
] | 10 | 2020-11-23T22:47:26.000Z | 2022-01-28T16:26:50.000Z | apps/greencheck/forms.py | thegreenwebfoundation/admin-portal | 65882871bd8c7a088127dcaf25aa534753cf51fa | [
"Apache-2.0"
] | 83 | 2020-05-17T20:25:50.000Z | 2022-03-29T18:11:50.000Z | apps/greencheck/forms.py | thegreenwebfoundation/greenwebfoundation-admin | 4ecf087fc7a305b410fe9dc5c13c721f98755ad7 | [
"Apache-2.0"
] | 3 | 2020-11-30T00:13:45.000Z | 2021-06-11T13:42:04.000Z | import logging
from django.contrib.auth import get_user_model
User = get_user_model()
logger = logging.getLogger(__name__)
| 29.859223 | 87 | 0.603154 | import logging
from django import forms
from django.forms import ModelForm
from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from .choices import ActionChoice
from .choices import StatusApproval
from .models import GreencheckIp
from .models import GreencheckIpApprove
fr... | 0 | 0 | 0 | 5,570 | 0 | 0 | 0 | 134 | 316 |
b1eddf2df04b0568d966ac65af3e212970d3380f | 1,452 | py | Python | Task/Variable-length-quantity/Python/variable-length-quantity-2.py | LaudateCorpus1/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2018-11-09T22:08:38.000Z | 2018-11-09T22:08:38.000Z | Task/Variable-length-quantity/Python/variable-length-quantity-2.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | null | null | null | Task/Variable-length-quantity/Python/variable-length-quantity-2.py | seanwallawalla-forks/RosettaCodeData | 9ad63ea473a958506c041077f1d810c0c7c8c18d | [
"Info-ZIP"
] | 1 | 2018-11-09T22:08:40.000Z | 2018-11-09T22:08:40.000Z | >>> for n in (254, 255, 256, 257, -2+(1<<16), -1+(1<<16), 1<<16, 1+(1<<16), 0x200000, 0x1fffff ):
print('int: %7i bin: %26s vlq: %35s vlq->int: %7i' % (n, tobits(n,_pad=True), tovlq(n), toint(tovlq(n))))
int: 254 bin: 11111110 vlq: 00000001_11111110 vlq->int: 254
int: ... | 58.08 | 109 | 0.623967 | >>> for n in (254, 255, 256, 257, -2+(1<<16), -1+(1<<16), 1<<16, 1+(1<<16), 0x200000, 0x1fffff ):
print('int: %7i bin: %26s vlq: %35s vlq->int: %7i' % (n, tobits(n,_pad=True), tovlq(n), toint(tovlq(n))))
int: 254 bin: 11111110 vlq: 00000001_11111110 vlq->int: 254
int: ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2f50ba581140ad3227f6a245aa81600c4d646bb7 | 7,386 | py | Python | get-embeddings.py | bayesgroup/semi-supervised-NFs | 8ef6a481389810988c3ffe09a228f814d2de008b | [
"BSD-2-Clause"
] | 19 | 2020-01-30T07:25:23.000Z | 2021-02-06T23:23:06.000Z | get-embeddings.py | bayesgroup/semi-supervised-NFs | 8ef6a481389810988c3ffe09a228f814d2de008b | [
"BSD-2-Clause"
] | 1 | 2021-06-04T11:01:40.000Z | 2021-06-04T11:01:40.000Z | get-embeddings.py | SamsungLabs/semi-supervised-NFs | 8ef6a481389810988c3ffe09a228f814d2de008b | [
"BSD-2-Clause"
] | 1 | 2021-06-04T10:59:32.000Z | 2021-06-04T10:59:32.000Z | import myexman
import torch
import utils
import datautils
import os
import numpy as np
from models import flows, distributions
parser = myexman.ExParser(file=os.path.basename(__file__))
parser.add_argument('--name', default='')
parser.add_argument('--verbose', default=0, type=int)
parser.add_argument('--save_dir', d... | 40.582418 | 106 | 0.701056 | import myexman
import torch
import utils
import datautils
import os
from logger import Logger
import time
import numpy as np
from models import flows, distributions
import matplotlib.pyplot as plt
from algo.em import init_kmeans2plus_mu
import warnings
from sklearn.mixture import GaussianMixture
import torch.nn.functio... | 0 | 0 | 0 | 0 | 0 | 764 | 0 | 37 | 244 |
4d979201085d2e229bfe8b5fe03865b07c10d070 | 16,437 | py | Python | web_scrapers.py | zhiose91/web_fetcher | ffff20d4801bf08096a8c37ee7aefea6259c5701 | [
"MIT"
] | null | null | null | web_scrapers.py | zhiose91/web_fetcher | ffff20d4801bf08096a8c37ee7aefea6259c5701 | [
"MIT"
] | null | null | null | web_scrapers.py | zhiose91/web_fetcher | ffff20d4801bf08096a8c37ee7aefea6259c5701 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
| 40.090244 | 153 | 0.636856 | #!/usr/bin/env python3
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from datetime import datetime, timedelta
from src.misc import check_n_mkdir, Logger
from collections... | 0 | 721 | 0 | 15,296 | 0 | 0 | 0 | 128 | 267 |
1e06c961a46def55ffde95f51cb96237e6d9a612 | 5,659 | py | Python | tests/test_acl.py | pypeclub/openpype4-tests | c0c32b643f63e66609772270fff71e88dcd5b922 | [
"Apache-2.0"
] | null | null | null | tests/test_acl.py | pypeclub/openpype4-tests | c0c32b643f63e66609772270fff71e88dcd5b922 | [
"Apache-2.0"
] | null | null | null | tests/test_acl.py | pypeclub/openpype4-tests | c0c32b643f63e66609772270fff71e88dcd5b922 | [
"Apache-2.0"
] | null | null | null |
PROJECT_NAME = "test_acl"
USER_NAME = "test_artist"
PASSWORD = "123.456.AbCd"
ROLE_NAME = "test_artist_role"
| 32.153409 | 85 | 0.6434 | import pytest
from client.api import API
PROJECT_NAME = "test_acl"
USER_NAME = "test_artist"
PASSWORD = "123.456.AbCd"
ROLE_NAME = "test_artist_role"
def create_entity(api, entity_type: str, **kwargs):
response = api.post(f"projects/{PROJECT_NAME}/{entity_type}s", **kwargs)
assert response
return respon... | 0 | 987 | 0 | 0 | 0 | 4,400 | 0 | -3 | 160 |
bf2e6f8f6d58ec2adac40bbca33ccffc49f6f7cb | 15,254 | py | Python | RRCS_based/RRCS_change.py | GiantFurosemide/scripts_work_parric | da73dfa701f7591f1a6c769fcbb73792a5f1a0e3 | [
"MIT"
] | null | null | null | RRCS_based/RRCS_change.py | GiantFurosemide/scripts_work_parric | da73dfa701f7591f1a6c769fcbb73792a5f1a0e3 | [
"MIT"
] | null | null | null | RRCS_based/RRCS_change.py | GiantFurosemide/scripts_work_parric | da73dfa701f7591f1a6c769fcbb73792a5f1a0e3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
process pdb file to calculate contact score and write to csv.
main function is prosess_save2csv()
usage: python3 RRCS_change.py file.pdb
input .pdb
output .csv
'''
import sys
# atom 4.63 0
# a function to eliminate 0 score from calc_contact()
# pack contact sco... | 41.227027 | 117 | 0.566409 | # -*- coding: utf-8 -*-
'''
process pdb file to calculate contact score and write to csv.
main function is prosess_save2csv()
usage: python3 RRCS_change.py file.pdb
input .pdb
output .csv
'''
import sys
def calc_contact(pdbbase: "pdb file") -> (dict, dict):
fi = open(pdbbase, 'r')
all_lin... | 378 | 0 | 0 | 0 | 0 | 6,430 | 0 | 0 | 73 |
b083fde9e425f414d2d430ae2e469990e3d9d778 | 51 | py | Python | leo/test/unittest/at-shadow-unlink-clones.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 2 | 2020-01-19T18:11:05.000Z | 2020-01-19T18:12:07.000Z | leo/test/unittest/at-shadow-unlink-clones.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 1 | 2020-06-19T02:28:25.000Z | 2020-06-19T02:28:25.000Z | leo/test/unittest/at-shadow-unlink-clones.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | null | null | null |
# Begin
# node 1 text A.
# node 2 text B.
# End
| 6.375 | 16 | 0.54902 |
# Begin
# node 1 text A.
# node 2 text B.
# End
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13a2885f6e9ce0af1911261a49ae96c3f5cf9bc8 | 242 | py | Python | Python/ArrayQueueMain.py | i-love-linux/BasicDataStructure | 7853e14053d3425c836b6164cc1c78c9ee68213b | [
"MIT"
] | null | null | null | Python/ArrayQueueMain.py | i-love-linux/BasicDataStructure | 7853e14053d3425c836b6164cc1c78c9ee68213b | [
"MIT"
] | null | null | null | Python/ArrayQueueMain.py | i-love-linux/BasicDataStructure | 7853e14053d3425c836b6164cc1c78c9ee68213b | [
"MIT"
] | null | null | null | from BasicDS.ArrayQueue import ArrayQueue
if __name__ == "__main__":
queue = ArrayQueue()
for i in range(10):
queue.enqueue(i)
print(queue)
if i % 3 == 2:
queue.dequeue()
print(queue)
| 20.166667 | 41 | 0.549587 | from BasicDS.ArrayQueue import ArrayQueue
if __name__ == "__main__":
queue = ArrayQueue()
for i in range(10):
queue.enqueue(i)
print(queue)
if i % 3 == 2:
queue.dequeue()
print(queue)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |