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8790f34d0d7e3a06ae4b661ea64a167a9284b21f | 521 | py | Python | app/config_template.py | larrylx/email-bot | 0689ddb3a63dc0faa7d97a2aa2b72d9a428157da | [
"MIT"
] | null | null | null | app/config_template.py | larrylx/email-bot | 0689ddb3a63dc0faa7d97a2aa2b72d9a428157da | [
"MIT"
] | null | null | null | app/config_template.py | larrylx/email-bot | 0689ddb3a63dc0faa7d97a2aa2b72d9a428157da | [
"MIT"
] | null | null | null | # Auth
ALLOW_HOST = []
# Bot Address
SEND_AS = ""
# Google
GOOGLE_WORKSPACE_USER = ""
GOOGLE_WORKSPACE_SERVICE_ACCOUNT_CREDENTIALS = '''{
"type": "service_account",
"project_id": "",
"private_key_id": "",
"private_key": "",
"client_email": "",
"client_id": "",
"auth_uri": "https://accounts... | 24.809524 | 80 | 0.646833 | # Auth
ALLOW_HOST = []
# Bot Address
SEND_AS = ""
# Google
GOOGLE_WORKSPACE_USER = ""
GOOGLE_WORKSPACE_SERVICE_ACCOUNT_CREDENTIALS = '''{
"type": "service_account",
"project_id": "",
"private_key_id": "",
"private_key": "",
"client_email": "",
"client_id": "",
"auth_uri": "https://accounts... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
604d2c58889a799deb5a51136f866fdb18afcd8e | 756 | py | Python | pylearn2/datasets/tests/test_adult.py | ikervazquezlopez/Pylearn2 | 2971e8f64374ffde572d4cf967aad5342beaf5e0 | [
"BSD-3-Clause"
] | 2,045 | 2015-01-01T14:07:52.000Z | 2022-03-08T08:56:41.000Z | pylearn2/datasets/tests/test_adult.py | ikervazquezlopez/Pylearn2 | 2971e8f64374ffde572d4cf967aad5342beaf5e0 | [
"BSD-3-Clause"
] | 305 | 2015-01-02T13:18:24.000Z | 2021-08-20T18:03:28.000Z | pylearn2/datasets/tests/test_adult.py | ikervazquezlopez/Pylearn2 | 2971e8f64374ffde572d4cf967aad5342beaf5e0 | [
"BSD-3-Clause"
] | 976 | 2015-01-01T17:08:51.000Z | 2022-03-25T19:53:17.000Z | """
Test code for adult.py
=======
Testing class that simply checks to see if the adult dataset
is loadable
"""
from pylearn2.datasets.adult import adult
from pylearn2.testing.skip import skip_if_no_data
def test_adult():
"""
Tests if it will work correctly for train and test set.
"""
skip_if_no_data(... | 27 | 60 | 0.678571 | """
Test code for adult.py
=======
Testing class that simply checks to see if the adult dataset
is loadable
"""
import numpy
from pylearn2.datasets.adult import adult
from pylearn2.testing.skip import skip_if_no_data
def test_adult():
"""
Tests if it will work correctly for train and test set.
"""
ski... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -9 | 22 |
58251a14d5f0a885f6169a7ae42e78076d256e6f | 401 | py | Python | tests/cases/fib_with_argparse.py | MiguelMarcelino/py2many | 9b040b2a157e265df9c053eaf3e5cd644d3e30d0 | [
"MIT"
] | 2 | 2022-02-02T11:37:53.000Z | 2022-03-30T18:19:06.000Z | tests/cases/fib_with_argparse.py | MiguelMarcelino/py2many | 9b040b2a157e265df9c053eaf3e5cd644d3e30d0 | [
"MIT"
] | 25 | 2022-02-28T21:19:11.000Z | 2022-03-23T21:26:20.000Z | tests/cases/fib_with_argparse.py | MiguelMarcelino/py2many | 9b040b2a157e265df9c053eaf3e5cd644d3e30d0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
if __name__ == "__main__":
args = Options.parse_args()
if args.v:
print("args.v is true")
if args.n == 0:
args.n = 5
print(fib(args.n))
| 16.04 | 40 | 0.553616 | #!/usr/bin/env python3
from argparse_dataclass import dataclass
@dataclass
class Options:
v: bool = False
n: int = 0
def fib(i: int) -> int:
if i == 0 or i == 1:
return 1
return fib(i - 1) + fib(i - 2)
if __name__ == "__main__":
args = Options.parse_args()
if args.v:
print... | 0 | 39 | 0 | 0 | 0 | 79 | 0 | 19 | 69 |
396d1311738d5c4198813a6e64e8cda6bf7c0a43 | 3,821 | py | Python | src/util.py | Fluxticks/BountyOptimiser | 5ce96dd58045d540536ad4c31fd1b454461bd9f1 | [
"MIT"
] | null | null | null | src/util.py | Fluxticks/BountyOptimiser | 5ce96dd58045d540536ad4c31fd1b454461bd9f1 | [
"MIT"
] | null | null | null | src/util.py | Fluxticks/BountyOptimiser | 5ce96dd58045d540536ad4c31fd1b454461bd9f1 | [
"MIT"
] | null | null | null | import logging
DEBUG_TRACE_NUM = 9
logging.Logger.trace = trace
logging.addLevelName(9, 'TRACE')
def dprint(data, parent='data', level=0):
"""Prints a dictionary with formatting
Args:
data (dict): The dictionary to be printed
parent (str, optional): The key from the parent for ... | 35.055046 | 114 | 0.61921 | import logging
import colorlog
from coloured_log import ColoredFormatter
DEBUG_TRACE_NUM = 9
def trace(self, message, *args, **kws):
if self.isEnabledFor(DEBUG_TRACE_NUM):
self._log(DEBUG_TRACE_NUM, message, args, **kws)
logging.Logger.trace = trace
logging.addLevelName(9, 'TRACE')
def makeLogg... | 0 | 0 | 0 | 230 | 0 | 1,899 | 0 | 14 | 169 |
28702ad204922dd46aac6611c5b25848b5b1b25c | 5,505 | py | Python | src/train.py | jf20541/DNNHyperparameterTuning | ba741c8eaaa4b814407ebb063bddde9f7a51bcbd | [
"MIT"
] | 1 | 2021-08-17T02:01:19.000Z | 2021-08-17T02:01:19.000Z | src/train.py | jf20541/DNNHyperparameterTuning | ba741c8eaaa4b814407ebb063bddde9f7a51bcbd | [
"MIT"
] | null | null | null | src/train.py | jf20541/DNNHyperparameterTuning | ba741c8eaaa4b814407ebb063bddde9f7a51bcbd | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import torch
import optuna
from dataset import HotelDataSet
from model import DeepNeuralNetwork
import config
from engine import Engine
from sklearn.metrics import roc_auc_score
import torch.optim as optim
def train(fold, params, save_model=False):
"""Finding the optimal DNN... | 36.456954 | 115 | 0.662125 | import pandas as pd
import numpy as np
import torch
import optuna
from dataset import HotelDataSet
from model import DeepNeuralNetwork
import config
from engine import Engine
from sklearn.metrics import roc_auc_score
import torch.optim as optim
def train(fold, params, save_model=False):
"""Finding the optimal DNN... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d27ae549e9ad48016af98290dc2ad7096ed0215 | 9,638 | py | Python | src/serverattack_main.py | Ilcyb/Federated-Learning-PyTorch | 4830a89ffa1ac0ad0e52a4551338532cfb4ca210 | [
"MIT"
] | 1 | 2021-04-28T03:34:01.000Z | 2021-04-28T03:34:01.000Z | src/serverattack_main.py | Ilcyb/Federated-Learning-PyTorch | 4830a89ffa1ac0ad0e52a4551338532cfb4ca210 | [
"MIT"
] | null | null | null | src/serverattack_main.py | Ilcyb/Federated-Learning-PyTorch | 4830a89ffa1ac0ad0e52a4551338532cfb4ca210 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import os
import copy
import time
import numpy as np
from tqdm import tqdm
import torch
from tensorboardX import SummaryWriter
import torchvision.utils as vutils
from options import args_parser
from update import LocalUpdate, test_inference, Advers... | 44.62037 | 206 | 0.618489 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import os
import copy
import time
import pickle
import numpy as np
from tqdm import tqdm
import torch
from tensorboardX import SummaryWriter
import torchvision.utils as vutils
from options import args_parser
from update import LocalUpdate, test_inf... | 147 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 22 |
93c0cc9337e79fdca67a9b20fc3b1dcffb643e0e | 1,327 | py | Python | ODEs/RK_methods.py | Zettergren-Courses/EP501_python | dabaa584e5158eb35197a43f38920a9ed7cc02b8 | [
"MIT"
] | null | null | null | ODEs/RK_methods.py | Zettergren-Courses/EP501_python | dabaa584e5158eb35197a43f38920a9ed7cc02b8 | [
"MIT"
] | 1 | 2020-10-06T13:29:01.000Z | 2020-10-06T13:29:01.000Z | ODEs/RK_methods.py | Zettergren-Courses/EP501_python | dabaa584e5158eb35197a43f38920a9ed7cc02b8 | [
"MIT"
] | 6 | 2020-09-01T10:35:59.000Z | 2020-09-18T10:12:59.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 19 07:23:35 2020
Illustrate the use of Runge-Kutta methods to solve ODEs
@author: zettergm
"""
# Imports
import numpy as np
import matplotlib.pyplot as plt
# RHS of ODE for use with RK4
# Time grid
N=15
tmin=0
tmax=6
t=np.linspace(tmin,tmax,n... | 17.012821 | 55 | 0.635268 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 19 07:23:35 2020
Illustrate the use of Runge-Kutta methods to solve ODEs
@author: zettergm
"""
# Imports
import numpy as np
import matplotlib.pyplot as plt
# RHS of ODE for use with RK4
def fRK(t,y,alpha):
fval=-alpha*y
return fval
# ... | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 22 |
fc148f3dfeed66f22fc7a3ed41f21e0da706a57c | 1,267 | py | Python | album_recommender/rec_system/migrations/0001_initial.py | LevUdaltsov/album_recommender | 86d5f225bab0f8f4d65fd8184abadafb6654155f | [
"MIT"
] | 1 | 2020-11-22T20:00:27.000Z | 2020-11-22T20:00:27.000Z | album_recommender/rec_system/migrations/0001_initial.py | LevUdaltsov/album_recommender | 86d5f225bab0f8f4d65fd8184abadafb6654155f | [
"MIT"
] | null | null | null | album_recommender/rec_system/migrations/0001_initial.py | LevUdaltsov/album_recommender | 86d5f225bab0f8f4d65fd8184abadafb6654155f | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-11-04 19:12
| 36.2 | 114 | 0.573007 | # Generated by Django 3.1.2 on 2020-11-04 19:12
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Album',
fields=[
('id', models.AutoField(au... | 0 | 0 | 0 | 1,153 | 0 | 0 | 0 | 19 | 46 |
1c3d851cd9c71be09e0a6c57c8a32fceaf1783d2 | 12,793 | py | Python | structuretimers/admin.py | buahaha/aa-structuretimers | fbc2752d442795c0803aa419a58ebd1cfd33c66d | [
"MIT"
] | null | null | null | structuretimers/admin.py | buahaha/aa-structuretimers | fbc2752d442795c0803aa419a58ebd1cfd33c66d | [
"MIT"
] | null | null | null | structuretimers/admin.py | buahaha/aa-structuretimers | fbc2752d442795c0803aa419a58ebd1cfd33c66d | [
"MIT"
] | null | null | null |
# @admin.register(Timer)
# class TimerAdmin(admin.ModelAdmin):
# list_select_related = ("eve_solar_system", "structure_type", "user")
# list_filter = (
# "timer_type",
# ("eve_solar_system", admin.RelatedOnlyFieldListFilter),
# ("structure_type", admin.RelatedOnlyFieldListFilter),... | 34.575676 | 88 | 0.60197 | from typing import Any, Dict, Optional
from django import forms
from django.contrib import admin
from django.core.exceptions import ValidationError
from django.db.models.functions import Lower
from django.utils.safestring import mark_safe
from django.utils.timezone import now
from allianceauth.eveonline.models import... | 0 | 8,498 | 0 | 1,833 | 0 | 67 | 0 | 278 | 361 |
5354bf2eb0b6402c52bb66eebb35355e3a2c29a4 | 357 | py | Python | script.py | f1amingo/logparser | 65f077a78a974a50e0fff792257fb6fea0a86821 | [
"MIT"
] | null | null | null | script.py | f1amingo/logparser | 65f077a78a974a50e0fff792257fb6fea0a86821 | [
"MIT"
] | null | null | null | script.py | f1amingo/logparser | 65f077a78a974a50e0fff792257fb6fea0a86821 | [
"MIT"
] | null | null | null | from logparser.ADC.ADC_Fast import log_similarity
# '<$>()<-1> : getImeiV2 memory:868404020067521'
tem = ['<$>', '(', '', ')', '<-1>', ' ', '', ':', '', ' ', '<$>', '<$>', '<$>', '<$>', '<$>']
log = ['<$>', '(', '', ')', '<-1>', ' ', '', ':', '', ' ', 'getImeiV2', ' ', 'memory', ':', '868404020067521']
a = log_similar... | 44.625 | 110 | 0.420168 | from logparser.ADC.ADC_Fast import log_split, log_similarity
# '<$>()<-1> : getImeiV2 memory:868404020067521'
tem = ['<$>', '(', '', ')', '<-1>', ' ', '', ':', '', ' ', '<$>', '<$>', '<$>', '<$>', '<$>']
log = ['<$>', '(', '', ')', '<-1>', ' ', '', ':', '', ' ', 'getImeiV2', ' ', 'memory', ':', '868404020067521']
a = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 |
16eca7bda6e12e4d2913a6a98b2a3352ed2ed698 | 386 | py | Python | experiments/chatterbot.py | wmodes/chickenrobot | b1a903f48a667a295a7be5c026ededb6f20ade36 | [
"MIT"
] | null | null | null | experiments/chatterbot.py | wmodes/chickenrobot | b1a903f48a667a295a7be5c026ededb6f20ade36 | [
"MIT"
] | null | null | null | experiments/chatterbot.py | wmodes/chickenrobot | b1a903f48a667a295a7be5c026ededb6f20ade36 | [
"MIT"
] | null | null | null | from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer
chatbot = ChatBot('Ron Obvious')
# Create a new trainer for the chatbot
trainer = ChatterBotCorpusTrainer(chatbot)
# Train the chatbot based on the english corpus
trainer.train("chatterbot.corpus.english")
# Get a response to an ... | 27.571429 | 55 | 0.803109 | from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer
chatbot = ChatBot('Ron Obvious')
# Create a new trainer for the chatbot
trainer = ChatterBotCorpusTrainer(chatbot)
# Train the chatbot based on the english corpus
trainer.train("chatterbot.corpus.english")
# Get a response to an ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aba10f8d8eff32b9423a552b3f2ba0b280c6670c | 236 | py | Python | drlgeb/example.py | mikuh/drlgeb | 5b70834fba6c550f319ea202a691394c2e99e8b5 | [
"MIT"
] | null | null | null | drlgeb/example.py | mikuh/drlgeb | 5b70834fba6c550f319ea202a691394c2e99e8b5 | [
"MIT"
] | null | null | null | drlgeb/example.py | mikuh/drlgeb | 5b70834fba6c550f319ea202a691394c2e99e8b5 | [
"MIT"
] | null | null | null | from drlgeb.ac import A3C
if __name__ == '__main__':
env_id = "SpaceInvaders-v0"
agent = A3C(env_id=env_id)
# train
agent.learn()
# test
model_path = "..."
agent.play(episodes=5, model_path=model_path)
| 14.75 | 49 | 0.622881 | from drlgeb.ac import A3C
if __name__ == '__main__':
env_id = "SpaceInvaders-v0"
agent = A3C(env_id=env_id)
# train
agent.learn()
# test
model_path = "..."
agent.play(episodes=5, model_path=model_path)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a63c85a82799a6fc6dd7884c13a0a1e90d300b1 | 2,406 | py | Python | horarios/migrations/0002_auto__chg_field_subject_name.py | xyos/horarios | f77cdcb3e9865389c4cb0cba8a41c087bffc88eb | [
"MIT"
] | 2 | 2015-01-04T17:20:58.000Z | 2016-01-08T17:20:47.000Z | horarios/migrations/0002_auto__chg_field_subject_name.py | xyos/horarios | f77cdcb3e9865389c4cb0cba8a41c087bffc88eb | [
"MIT"
] | 8 | 2015-01-08T18:36:04.000Z | 2015-05-25T02:44:26.000Z | horarios/migrations/0002_auto__chg_field_subject_name.py | xyos/horarios | f77cdcb3e9865389c4cb0cba8a41c087bffc88eb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 48.12 | 146 | 0.57606 | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Changing field 'Subject.name'
db.alter_column(u'horarios_subject', 'na... | 0 | 0 | 0 | 2,218 | 0 | 0 | 0 | 53 | 111 |
546df6e9ef21d349caa0a7c75b2aa1e5f16fd0b2 | 223 | py | Python | data/masif_site/nn_models/all_feat_1l/custom_params.py | NBDsoftware/masif | 2a370518e0d0d0b0d6f153f2f10f6630ae91f149 | [
"Apache-2.0"
] | 309 | 2019-04-11T20:20:12.000Z | 2022-03-31T16:32:17.000Z | data/masif_site/nn_models/all_feat_1l/custom_params.py | NBDsoftware/masif | 2a370518e0d0d0b0d6f153f2f10f6630ae91f149 | [
"Apache-2.0"
] | 41 | 2019-03-31T06:44:46.000Z | 2022-03-13T16:08:56.000Z | data/masif_site/nn_models/all_feat_1l/custom_params.py | NBDsoftware/masif | 2a370518e0d0d0b0d6f153f2f10f6630ae91f149 | [
"Apache-2.0"
] | 90 | 2019-04-20T11:06:11.000Z | 2022-03-24T16:22:22.000Z | custom_params = {}
custom_params['model_dir'] = 'nn_models/all_feat_1l/model_data/'
custom_params['out_dir'] = 'output/all_feat_1l/'
custom_params['feat_mask'] = [1.0, 1.0, 1.0, 1.0, 1.0]
custom_params['n_conv_layers'] = 1
| 37.166667 | 64 | 0.721973 | custom_params = {}
custom_params['model_dir'] = 'nn_models/all_feat_1l/model_data/'
custom_params['out_dir'] = 'output/all_feat_1l/'
custom_params['feat_mask'] = [1.0, 1.0, 1.0, 1.0, 1.0]
custom_params['n_conv_layers'] = 1
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b82ddb45eaa0f0a0ba412992da31cf583976f8a | 2,433 | py | Python | pynini/examples/g2p.py | Freddy-pp/pynini | 12587a4a3056931640dc741526225a0a5f02ca2f | [
"Apache-2.0"
] | 62 | 2019-02-16T17:21:15.000Z | 2022-03-25T04:50:58.000Z | pynini/examples/g2p.py | Freddy-pp/pynini | 12587a4a3056931640dc741526225a0a5f02ca2f | [
"Apache-2.0"
] | 44 | 2019-02-07T13:47:22.000Z | 2022-02-04T14:46:33.000Z | pynini/examples/g2p.py | kylebgorman/pynini | a573bb49a4f307f5e920570e45d517065bd2b7cc | [
"Apache-2.0"
] | 9 | 2019-05-06T09:09:36.000Z | 2022-01-26T16:18:38.000Z | # Copyright 2016-2020 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 or agreed to in writi... | 32.013158 | 79 | 0.549527 | # Copyright 2016-2020 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 or agreed to in writi... | 44 | 0 | 0 | 0 | 0 | 54 | 0 | 9 | 45 |
98f64fad3e877fc69d88e7f67a0d9ef1252d5d20 | 1,100 | py | Python | skompiler/toskast/sklearn/linear_model/base.py | odinsemvosem/SKompiler | e46264796c8695497f43f6653688f5bcdbc0cfae | [
"MIT"
] | 112 | 2018-12-12T03:54:28.000Z | 2022-01-14T14:18:42.000Z | skompiler/toskast/sklearn/linear_model/base.py | odinsemvosem/SKompiler | e46264796c8695497f43f6653688f5bcdbc0cfae | [
"MIT"
] | 10 | 2018-12-20T17:21:09.000Z | 2022-03-24T19:31:55.000Z | skompiler/toskast/sklearn/linear_model/base.py | odinsemvosem/SKompiler | e46264796c8695497f43f6653688f5bcdbc0cfae | [
"MIT"
] | 7 | 2019-02-05T05:20:05.000Z | 2021-03-21T16:31:38.000Z | """
SKLearn linear model to SKAST.
"""
from skompiler.dsl import const
def linear_model(coef, intercept, inputs):
"""
Linear regression.
Depending on the shape of the coef and intercept, produces either a single-valued
linear model (w @ x + b) or a multi-valued one (M @ x + b_vec)
Args:
c... | 42.307692 | 129 | 0.691818 | """
SKLearn linear model to SKAST.
"""
from skompiler.dsl import const
def linear_model(coef, intercept, inputs):
"""
Linear regression.
Depending on the shape of the coef and intercept, produces either a single-valued
linear model (w @ x + b) or a multi-valued one (M @ x + b_vec)
Args:
c... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cb9c843981e48fb47efbd0dce57789a730182e3a | 55 | py | Python | howl/roomsensor/__init__.py | volzotan/django-howl | 3b11c530da95d152844934da09592619b3d4497f | [
"MIT"
] | null | null | null | howl/roomsensor/__init__.py | volzotan/django-howl | 3b11c530da95d152844934da09592619b3d4497f | [
"MIT"
] | null | null | null | howl/roomsensor/__init__.py | volzotan/django-howl | 3b11c530da95d152844934da09592619b3d4497f | [
"MIT"
] | null | null | null | default_app_config = 'roomsensor.apps.RoomsensorConfig' | 55 | 55 | 0.872727 | default_app_config = 'roomsensor.apps.RoomsensorConfig' | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21e507e7ab4bcd8fb87c931f3aa580cb59331a62 | 1,553 | py | Python | src/TASK_train_1dCNN_ER_EC/model_cnn1d_cmu_classification_stage2.py | haoqi/emotions_as_primitives_towards_behavior_understanding | 5d82bb0265e585da1cd0144bb93b28dc5cb0e710 | [
"0BSD"
] | 2 | 2020-08-13T18:26:46.000Z | 2021-04-07T18:58:48.000Z | src/TASK_train_1dCNN_ER_EC/model_cnn1d_cmu_classification_stage2.py | haoqi/emotions_as_primitives_towards_behavior_understanding | 5d82bb0265e585da1cd0144bb93b28dc5cb0e710 | [
"0BSD"
] | null | null | null | src/TASK_train_1dCNN_ER_EC/model_cnn1d_cmu_classification_stage2.py | haoqi/emotions_as_primitives_towards_behavior_understanding | 5d82bb0265e585da1cd0144bb93b28dc5cb0e710 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 14 21:10:20 2018
@author: haoqi
"""
import torch.nn as nn
| 31.06 | 110 | 0.509981 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 14 21:10:20 2018
@author: haoqi
"""
import os
import torch
import torch.nn as nn
class Classification_Base_1D_NN_fixed_seq_len_1s_majvote_v2(nn.Module):
'''
'''
def __init__(self, in_channels_num):
super(Classification_Base_1D... | 0 | 0 | 0 | 1,376 | 0 | 0 | 0 | -21 | 67 |
ad5aac441f52450806160ebb3f673743c409340e | 18,905 | py | Python | btcde.py | rundekugel/btcde | f18bc844a92d8dc932332a2d9b479487b158c9d1 | [
"MIT"
] | null | null | null | btcde.py | rundekugel/btcde | f18bc844a92d8dc932332a2d9b479487b158c9d1 | [
"MIT"
] | null | null | null | btcde.py | rundekugel/btcde | f18bc844a92d8dc932332a2d9b479487b158c9d1 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
"""API Wrapper for Bitcoin.de Trading API."""
import logging
logging.basicConfig()
log = logging.getLogger(__name__)
requests_log = logging.getLogger("requests.packages.urllib3")
requests_log.propagate = True
__version__ = '4.0'
def HandleRequestsException(e):
"""Handle Exception from requ... | 44.798578 | 129 | 0.606982 | #! /usr/bin/env python
"""API Wrapper for Bitcoin.de Trading API."""
import requests
import time
import json
import hmac
import hashlib
import logging
import codecs
import decimal
import inspect
import urllib
from urllib.parse import urlencode
logging.basicConfig()
log = logging.getLogger(__name__)
requests_log = lo... | 0 | 0 | 0 | 17,874 | 0 | 0 | 0 | -60 | 268 |
8c080f7a67d89084acf08fc4b0d24de5c243f0ba | 749 | py | Python | Section3/L6 Saving loading of file/saving_loading_arrays2.py | Mohit-Sharma1/Takenmind_Internship_assignments | 7099ae3a70fca009f6298482e90e988124868148 | [
"MIT"
] | null | null | null | Section3/L6 Saving loading of file/saving_loading_arrays2.py | Mohit-Sharma1/Takenmind_Internship_assignments | 7099ae3a70fca009f6298482e90e988124868148 | [
"MIT"
] | null | null | null | Section3/L6 Saving loading of file/saving_loading_arrays2.py | Mohit-Sharma1/Takenmind_Internship_assignments | 7099ae3a70fca009f6298482e90e988124868148 | [
"MIT"
] | null | null | null | import numpy as np
arr=np.arange(10)
print arr
#saving single array
np.save('saved_array',arr)
#now_file_is_created = saved_array.npy
new_array=np.load('saved_array.npy')
print new_array
#save multiple array
array_1=np.arange(25)
array_2=np.arange(30)
np.savez('saved_archieve.npz',x=array_1,y=array_2)
load_archi... | 18.725 | 137 | 0.766355 | import numpy as np
arr=np.arange(10)
print arr
#saving single array
np.save('saved_array',arr)
#now_file_is_created = saved_array.npy
new_array=np.load('saved_array.npy')
print new_array
#save multiple array
array_1=np.arange(25)
array_2=np.arange(30)
np.savez('saved_archieve.npz',x=array_1,y=array_2)
load_archi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76d2e76305c2d3d979ffcd7fdf87223ff0b7649d | 840 | py | Python | caravel_test/test_frequency_counter.py | mattvenn/wrapped_frequency_counter | e3a0c328ed4b4882601dba04e3694d1dc0b70a52 | [
"Apache-2.0"
] | 1 | 2022-03-17T00:17:06.000Z | 2022-03-17T00:17:06.000Z | caravel_test/test_frequency_counter.py | mattvenn/wrapped_frequency_counter | e3a0c328ed4b4882601dba04e3694d1dc0b70a52 | [
"Apache-2.0"
] | null | null | null | caravel_test/test_frequency_counter.py | mattvenn/wrapped_frequency_counter | e3a0c328ed4b4882601dba04e3694d1dc0b70a52 | [
"Apache-2.0"
] | null | null | null |
clocks_per_phase = 10
# takes ~60 seconds on my PC
| 22.702703 | 67 | 0.671429 | import cocotb
from cocotb.clock import Clock
from cocotb.triggers import RisingEdge, FallingEdge, ClockCycles
import random
from test.test_encoder import Encoder
clocks_per_phase = 10
# takes ~60 seconds on my PC
@cocotb.test()
async def test_start(dut):
clock = Clock(dut.clock, 25, units="ns")
cocotb.fork(c... | 0 | 601 | 0 | 0 | 0 | 0 | 0 | 52 | 132 |
cf18605741f7a9144acd9f9a39605a2fd243f40c | 5,454 | py | Python | lemonadefashion_flask_monitoringdashboard/controllers/requests.py | us88/LF_Flask-MonitoringDashboard | 5917543fe480a3d46b52663d6937558078e9f705 | [
"MIT"
] | null | null | null | lemonadefashion_flask_monitoringdashboard/controllers/requests.py | us88/LF_Flask-MonitoringDashboard | 5917543fe480a3d46b52663d6937558078e9f705 | [
"MIT"
] | null | null | null | lemonadefashion_flask_monitoringdashboard/controllers/requests.py | us88/LF_Flask-MonitoringDashboard | 5917543fe480a3d46b52663d6937558078e9f705 | [
"MIT"
] | null | null | null | import datetime
import numpy
from sqlalchemy import func, and_
from lemonadefashion_flask_monitoringdashboard.core.timezone import to_utc_datetime, to_local_datetime
from lemonadefashion_flask_monitoringdashboard.database import Request
from lemonadefashion_flask_monitoringdashboard.database.count_group import count_... | 39.521739 | 119 | 0.713055 | import datetime
import numpy
from sqlalchemy import func, and_
from lemonadefashion_flask_monitoringdashboard.core.timezone import to_utc_datetime, to_local_datetime
from lemonadefashion_flask_monitoringdashboard.database import Request
from lemonadefashion_flask_monitoringdashboard.database.count_group import count_... | 0 | 0 | 0 | 0 | 0 | 129 | 0 | 84 | 45 |
8561e6fbacbb534b3ebce62f6af578c0af3f291e | 5,992 | py | Python | src/myth.py | gupta-siddhartha/MYTH | 4a57536ba91e77687fa86e714c06821b275fef7a | [
"MIT"
] | null | null | null | src/myth.py | gupta-siddhartha/MYTH | 4a57536ba91e77687fa86e714c06821b275fef7a | [
"MIT"
] | null | null | null | src/myth.py | gupta-siddhartha/MYTH | 4a57536ba91e77687fa86e714c06821b275fef7a | [
"MIT"
] | null | null | null | #======================================================================
# MYTH : Multipurpose code compiles YT-rendering for Hydro-simulations
#
# Author: Siddhartha Gupta
# contact: gsiddhartha@uchicago.edu
#
# Last modified on 17 July 2020
#======================================================================... | 34.436782 | 101 | 0.563919 | #======================================================================
# MYTH : Multipurpose code compiles YT-rendering for Hydro-simulations
#
# Author: Siddhartha Gupta
# contact: gsiddhartha@uchicago.edu
#
# Last modified on 17 July 2020
#======================================================================... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 69 |
4faa90fa574ae7c5351d0d865e9c4fefeaa8b91e | 3,954 | py | Python | azure-mgmt-batchai/azure/mgmt/batchai/models/cluster_create_parameters.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 4 | 2016-06-17T23:25:29.000Z | 2022-03-30T22:37:45.000Z | azure-mgmt-batchai/azure/mgmt/batchai/models/cluster_create_parameters.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 2 | 2016-09-30T21:40:24.000Z | 2017-11-10T18:16:18.000Z | azure-mgmt-batchai/azure/mgmt/batchai/models/cluster_create_parameters.py | v-Ajnava/azure-sdk-for-python | a1f6f80eb5869c5b710e8bfb66146546697e2a6f | [
"MIT"
] | 3 | 2016-05-03T20:49:46.000Z | 2017-10-05T21:05:27.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 49.425 | 188 | 0.6826 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 0 | 0 | 0 | 3,417 | 0 | 0 | 0 | 17 | 46 |
6e6d727791f38eb8a21eb1a8ac25979239e65594 | 1,457 | py | Python | manager_app/apis/manage_carousel_api.py | syz247179876/e_mall | f94e39e091e098242342f532ae371b8ff127542f | [
"Apache-2.0"
] | 7 | 2021-04-10T13:20:56.000Z | 2022-03-29T15:00:29.000Z | manager_app/apis/manage_carousel_api.py | syz247179876/E_mall | f94e39e091e098242342f532ae371b8ff127542f | [
"Apache-2.0"
] | 9 | 2021-05-11T03:53:31.000Z | 2022-03-12T00:58:03.000Z | manager_app/apis/manage_carousel_api.py | syz247179876/E_mall | f94e39e091e098242342f532ae371b8ff127542f | [
"Apache-2.0"
] | 2 | 2020-11-24T08:59:22.000Z | 2020-11-24T14:10:59.000Z | # -*- coding: utf-8 -*-
# @Time : 2021/4/6 8:51
# @Author :
# @File : manage_carousel_api.py
# @Software: Pycharm
| 31 | 107 | 0.702128 | # -*- coding: utf-8 -*-
# @Time : 2021/4/6 下午8:51
# @Author : 司云中
# @File : manage_carousel_api.py
# @Software: Pycharm
from rest_framework.response import Response
from Emall.base_api import BackendGenericApiView
from Emall.decorator import validate_url_data
from Emall.response_code import response_code, DELETE_CARO... | 171 | 395 | 0 | 536 | 0 | 0 | 0 | 215 | 134 |
25eb94215850c29794e09342a0067104f51af52e | 3,678 | py | Python | tests/test_user_def_template.py | CodeYellowBV/django-tally | a705821050da912fb8dabd56c41c040ea0a00a21 | [
"MIT"
] | null | null | null | tests/test_user_def_template.py | CodeYellowBV/django-tally | a705821050da912fb8dabd56c41c040ea0a00a21 | [
"MIT"
] | null | null | null | tests/test_user_def_template.py | CodeYellowBV/django-tally | a705821050da912fb8dabd56c41c040ea0a00a21 | [
"MIT"
] | null | null | null | from django_tally.user_def.lang import parse
AGGREGATE_PARAMS = {
'required': ['get_tally', 'add', 'sub'],
'optional': [
'base', 'get_value', 'get_nonexisting_value',
'filter_value', 'transform', 'get_group',
],
}
AGGREGATE_TEMPLATE = list(parse("""
(do
(def agg_base '(do
(defn agg_s... | 25.191781 | 67 | 0.54323 | from django.test import TestCase
from django_tally.data.models import Data
from django_tally.user_def.lang import parse
from django_tally.user_def.lang.json import encode
from django_tally.user_def.models import UserDefTemplate
from .testapp.models import Foo
AGGREGATE_PARAMS = {
'required': ['get_tally', 'add'... | 0 | 0 | 0 | 2,085 | 0 | 0 | 0 | 105 | 135 |
2d6b79d9f4841f82e28b707c6ae7d9435b499d27 | 7,381 | py | Python | ml_models/RF.py | lackeylela/openASO | 20dddb35f226e42dfd6da5c0fe1cf7196795d33d | [
"BSD-3-Clause"
] | 3 | 2020-11-19T14:51:15.000Z | 2022-01-29T02:14:18.000Z | ml_models/RF.py | lackeylela/openASO | 20dddb35f226e42dfd6da5c0fe1cf7196795d33d | [
"BSD-3-Clause"
] | 1 | 2020-05-24T00:15:49.000Z | 2020-10-30T15:59:22.000Z | ml_models/RF.py | lackeylela/openASO | 20dddb35f226e42dfd6da5c0fe1cf7196795d33d | [
"BSD-3-Clause"
] | 4 | 2020-05-22T17:56:59.000Z | 2021-01-13T03:51:53.000Z | # -*- coding: utf-8 -*-
"""
Created on Sat May 23 12:02:26 2020
@author: Chung
"""
import numpy as np
import sys
from sklearn.preprocessing import OneHotEncoder
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestRegressor
#from sklearn.ensembl... | 29.762097 | 97 | 0.702886 | # -*- coding: utf-8 -*-
"""
Created on Sat May 23 12:02:26 2020
@author: Chung
"""
import numpy as np
import pandas as pd
from sklearn import svm
import sys
import argparse
from sklearn.linear_model import Perceptron
from sklearn.preprocessing import OneHotEncoder
import matplotlib.pyplot as plt
from sklearn.model_s... | 0 | 0 | 0 | 0 | 0 | 2,570 | 0 | 176 | 428 |
44c4d063f133515fa09f6e2667424f3d14d11a80 | 8,603 | py | Python | parse_mail.py | ulrichard/vouchergen | 698b60186c44209235c21ad502a66b19d003ef13 | [
"BSD-3-Clause"
] | 1 | 2019-06-24T20:51:06.000Z | 2019-06-24T20:51:06.000Z | parse_mail.py | ulrichard/vouchergen | 698b60186c44209235c21ad502a66b19d003ef13 | [
"BSD-3-Clause"
] | 1 | 2015-03-07T01:01:49.000Z | 2015-03-07T01:01:49.000Z | parse_mail.py | ulrichard/vouchergen | 698b60186c44209235c21ad502a66b19d003ef13 | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/python
import email, smtplib, tidy, os, datetime, csv, subprocess, locale, time, inspect, sys
from lxml import etree
from email.mime.text import MIMEText
# allow import from subdirectory
currentDir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
btcuDir = currentDir + '/bitcoin... | 37.732456 | 118 | 0.55748 | #! /usr/bin/python
import email, smtplib, tidy, os, datetime, csv, subprocess, locale, time, inspect, sys
from lxml import etree
from email.mime.text import MIMEText
# allow import from subdirectory
currentDir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
btcuDir = currentDir + '/bitcoin... | 0 | 0 | 0 | 5,708 | 0 | 0 | 0 | 0 | 93 |
0c6df9cb0d37ac8b13fd3faeca5ef0f44c8698b5 | 1,133 | py | Python | ProjectEuler/p031.py | TISparta/competitive-programming-solutions | 31987d4e67bb874bf15653565c6418b5605a20a8 | [
"MIT"
] | 1 | 2018-01-30T13:21:30.000Z | 2018-01-30T13:21:30.000Z | ProjectEuler/p031.py | TISparta/competitive-programming-solutions | 31987d4e67bb874bf15653565c6418b5605a20a8 | [
"MIT"
] | null | null | null | ProjectEuler/p031.py | TISparta/competitive-programming-solutions | 31987d4e67bb874bf15653565c6418b5605a20a8 | [
"MIT"
] | 1 | 2018-08-29T13:26:50.000Z | 2018-08-29T13:26:50.000Z |
# Execution time : 0.001408 seconds
# Solution Explanation
# Let v = { v1, v2, ..., vn } be values
# We want to find in how many ways we can sum s with
# element of v if we can get as many items of v as we need
# ( We can choose as many times and element as we want )
# So, we can define the following recurrence
# sol... | 30.621622 | 93 | 0.595763 |
# Execution time : 0.001408 seconds
# Solution Explanation
# Let v = { v1, v2, ..., vn } be values
# We want to find in how many ways we can sum s with
# element of v if we can get as many items of v as we need
# ( We can choose as many times and element as we want )
# So, we can define the following recurrence
# sol... | 0 | 0 | 0 | 0 | 0 | 362 | 0 | 0 | 23 |
61c2f0b08e78df0660d2c6a39451cea11268969f | 933 | py | Python | The Revolution of Prime Numbers/primenumbers_5.py | mralamdari/python_Adventure | 026372163612aaab4f4908732f2912b8dd5240fb | [
"MIT"
] | 2 | 2021-01-18T14:03:18.000Z | 2021-02-04T09:45:15.000Z | The Revolution of Prime Numbers/primenumbers_5.py | EFA2020/python_Adventure | f98585008ee50867e21f025ce01b68e36123fff3 | [
"MIT"
] | null | null | null | The Revolution of Prime Numbers/primenumbers_5.py | EFA2020/python_Adventure | f98585008ee50867e21f025ce01b68e36123fff3 | [
"MIT"
] | null | null | null | """
This is my fifth prime number project,
it is one of the fastest.
It will find all prime numbers between 2 and 'End'.
1. At first we create an Prime array to N
store True vlaue, and N is End + 1 == size
and another list containing 2 as our main prime list
2.we iterate all odd numbers in range of 3 and END,
if tha... | 28.272727 | 52 | 0.632369 | """
This is my fifth prime number project,
it is one of the fastest.
It will find all prime numbers between 2 and 'End'.
1. At first we create an Prime array to N
store True vlaue, and N is End + 1 == size
and another list containing 2 as our main prime list
2.we iterate all odd numbers in range of 3 and END,
if tha... | 0 | 0 | 0 | 0 | 0 | 340 | 0 | 0 | 23 |
612c9d94cef45f4522dd83452ff711ebfc4e387e | 1,613 | py | Python | src/Filtering/BinaryMathematicalMorphology/ThinImage/Code.py | Leengit/ITKExamples | 9ab3696385a9fe82b4bbbadbdf7d3bb3b7079ec5 | [
"Apache-2.0"
] | null | null | null | src/Filtering/BinaryMathematicalMorphology/ThinImage/Code.py | Leengit/ITKExamples | 9ab3696385a9fe82b4bbbadbdf7d3bb3b7079ec5 | [
"Apache-2.0"
] | null | null | null | src/Filtering/BinaryMathematicalMorphology/ThinImage/Code.py | Leengit/ITKExamples | 9ab3696385a9fe82b4bbbadbdf7d3bb3b7079ec5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright NumFOCUS
#
# 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.txt
#
# Unless required by applicable law or ... | 26.883333 | 87 | 0.725356 | #!/usr/bin/env python
# Copyright NumFOCUS
#
# 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.txt
#
# Unless required by applicable law or ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dabb92efc6b69498e1c95a7d244c96eb89f7d911 | 1,411 | py | Python | 06_project_example/run.py | alexarmstrongvi/Tutorial-Python-Logger | a5d69f05fe2e02cc5bb2d98243bb21d25d801e82 | [
"MIT"
] | null | null | null | 06_project_example/run.py | alexarmstrongvi/Tutorial-Python-Logger | a5d69f05fe2e02cc5bb2d98243bb21d25d801e82 | [
"MIT"
] | null | null | null | 06_project_example/run.py | alexarmstrongvi/Tutorial-Python-Logger | a5d69f05fe2e02cc5bb2d98243bb21d25d801e82 | [
"MIT"
] | null | null | null | import logger
log = logger.get_logger(__name__)
if __name__ == '__main__':
args = get_args()
if args.log_level:
log.setLevel(args.log_level.upper())
main()
| 25.196429 | 76 | 0.639972 | import logger
log = logger.get_logger(__name__)
import argparse
import sys
import os
import subprocess
import module as mod
import subpackage.submodule as submod
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('-l', '--log-level') # log_level
args = parser.parse_args()
return ... | 0 | 0 | 0 | 0 | 0 | 1,071 | 0 | -18 | 180 |
a227747028c6b14641d8f64ac9d748b7af8120d3 | 2,996 | py | Python | lib/surface/certificate_manager/maps/list.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | lib/surface/certificate_manager/maps/list.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | null | null | null | lib/surface/certificate_manager/maps/list.py | google-cloud-sdk-unofficial/google-cloud-sdk | 2a48a04df14be46c8745050f98768e30474a1aac | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | # -*- coding: utf-8 -*- #
# Copyright 2020 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 31.87234 | 79 | 0.748331 | # -*- coding: utf-8 -*- #
# Copyright 2020 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 0 | 676 | 0 | 0 | 0 | 0 | 0 | 162 | 112 |
e750fd535877fd5891ddba57200668a4010a3aa3 | 938 | py | Python | plugins/hanlp_demo/hanlp_demo/zh/train_sota_bert_pku.py | callzhang/HanLP | f33c7e95b1d30d952d57f50272152f8d3a1740b2 | [
"Apache-2.0"
] | null | null | null | plugins/hanlp_demo/hanlp_demo/zh/train_sota_bert_pku.py | callzhang/HanLP | f33c7e95b1d30d952d57f50272152f8d3a1740b2 | [
"Apache-2.0"
] | null | null | null | plugins/hanlp_demo/hanlp_demo/zh/train_sota_bert_pku.py | callzhang/HanLP | f33c7e95b1d30d952d57f50272152f8d3a1740b2 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-08-11 02:47
from hanlp.common.dataset import SortingSamplerBuilder
from hanlp.components.tokenizers.transformer import TransformerTaggingTokenizer
from hanlp.datasets.cws.sighan2005.pku import SIGHAN2005_PKU_TRAIN_ALL, SIGHAN2005_PKU_TEST
from tests import cdroot
cd... | 31.266667 | 91 | 0.766525 | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-08-11 02:47
from hanlp.common.dataset import SortingSamplerBuilder
from hanlp.components.tokenizers.transformer import TransformerTaggingTokenizer
from hanlp.datasets.cws.sighan2005.pku import SIGHAN2005_PKU_TRAIN_ALL, SIGHAN2005_PKU_TEST
from tests import cdroot
cd... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11ebadeaa60ed1cc5bbb6ca2726e3438b9721491 | 1,499 | py | Python | bandcamp_player/__init__.py | MonkeysAreEvil/bandcamp-player | f3ecd9d998ff23df858eff755dcc0ac339cea771 | [
"MIT"
] | null | null | null | bandcamp_player/__init__.py | MonkeysAreEvil/bandcamp-player | f3ecd9d998ff23df858eff755dcc0ac339cea771 | [
"MIT"
] | null | null | null | bandcamp_player/__init__.py | MonkeysAreEvil/bandcamp-player | f3ecd9d998ff23df858eff755dcc0ac339cea771 | [
"MIT"
] | 1 | 2019-06-11T14:32:17.000Z | 2019-06-11T14:32:17.000Z | # coding=utf-8
import logging
logging.basicConfig(level=logging.INFO)
def main():
""" Playing the tracks until CTRL-C """
try:
loop()
except KeyboardInterrupt:
exit(0)
if __name__ == '__main__':
main()
| 26.298246 | 120 | 0.643763 | # coding=utf-8
import logging
import sys
import argparse
from bandcamp_parser.album import Album
from bandcamp_parser.tag import Tag
from bandcamp_parser.track import Track
logging.basicConfig(level=logging.INFO)
def loop():
parser = argparse.ArgumentParser(description="Plays a track, an album, or random tracks... | 0 | 0 | 0 | 0 | 0 | 1,092 | 0 | 33 | 134 |
d42c6ad7703b5e148e59e19432bd1b37dbd29b17 | 9,809 | py | Python | parts/broker/pub/hedge.py | coolerking/agent_smith | 1ec8c285fcb3996eaa77869b15af993696e113a8 | [
"MIT"
] | null | null | null | parts/broker/pub/hedge.py | coolerking/agent_smith | 1ec8c285fcb3996eaa77869b15af993696e113a8 | [
"MIT"
] | null | null | null | parts/broker/pub/hedge.py | coolerking/agent_smith | 1ec8c285fcb3996eaa77869b15af993696e113a8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
MarvelmindAWS IoT Core Publish
"""
| 37.582375 | 103 | 0.504741 | # -*- coding: utf-8 -*-
"""
MarvelmindデータをAWS IoT Core へ Publish するパーツクラスを定義するモジュール。
"""
import time
import json
from .base import PublisherBase, to_float, to_str
from .topic import pub_hedge_usnav_json_topic, pub_hedge_usnav_raw_json_topic, pub_hedge_imu_json_topic
class USNavPublisher(PublisherBase):
"""
Ma... | 2,181 | 0 | 0 | 8,770 | 0 | 0 | 0 | 90 | 157 |
e348e8fc45a6e77e7787283a95d82cd9fd9945ea | 183 | py | Python | python/moBu/menu/clean/__init__.py | CountZer0/PipelineConstructionSet | 0aa73a8a63c72989b2d1c677efd78dad4388d335 | [
"BSD-3-Clause"
] | 21 | 2015-04-27T05:01:36.000Z | 2021-11-22T13:45:14.000Z | python/moBu/menu/clean/__init__.py | 0xb1dd1e/PipelineConstructionSet | 621349da1b6d1437e95d0c9e48ee9f36d59f19fd | [
"BSD-3-Clause"
] | null | null | null | python/moBu/menu/clean/__init__.py | 0xb1dd1e/PipelineConstructionSet | 621349da1b6d1437e95d0c9e48ee9f36d59f19fd | [
"BSD-3-Clause"
] | 7 | 2015-04-11T11:37:19.000Z | 2020-05-22T09:49:04.000Z | '''
Author: Jason.Parks
Created: April 25, 2012
Module: menu.clean.__init__
Purpose: to import menu clean
'''
if not __name__ == '__main__':
print "menu.clean.__init__ imported" | 20.333333 | 38 | 0.721311 | '''
Author: Jason.Parks
Created: April 25, 2012
Module: menu.clean.__init__
Purpose: to import menu clean
'''
if not __name__ == '__main__':
print "menu.clean.__init__ imported" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21d6858d5d6148960d84325725569e7f3ca79771 | 23,676 | py | Python | lib/membase/helper/cluster_helper.py | pavithra-mahamani/testrunner | d204491caa23f1fbe90505646534ed7810d96289 | [
"Apache-2.0"
] | null | null | null | lib/membase/helper/cluster_helper.py | pavithra-mahamani/testrunner | d204491caa23f1fbe90505646534ed7810d96289 | [
"Apache-2.0"
] | null | null | null | lib/membase/helper/cluster_helper.py | pavithra-mahamani/testrunner | d204491caa23f1fbe90505646534ed7810d96289 | [
"Apache-2.0"
] | 1 | 2020-07-24T07:15:59.000Z | 2020-07-24T07:15:59.000Z |
# the first ip is taken as the master ip
# Returns True if cluster successfully finished then rebalance
#wait_if_warmup=True is useful in tearDown method for (auto)failover tests
# returns true if warmup is completed in wait_time sec
# otherwise return false
| 44.420263 | 127 | 0.564285 | from membase.api.rest_client import RestConnection, RestHelper
from memcached.helper.data_helper import MemcachedClientHelper
from remote.remote_util import RemoteMachineShellConnection
from mc_bin_client import MemcachedClient, MemcachedError
from membase.api.exception import ServerAlreadyJoinedException
from membase.... | 0 | 22,061 | 0 | 16 | 0 | 0 | 0 | 231 | 1,085 |
76f60614b7a4484297d586fa523b1b6aa918d7e8 | 1,145 | py | Python | stupid_not_work/pwm_socket_server_gui.py | mikeroslikov/BLIMP | 84718a98bb4b31a8a73155547ed1e8537ef80eec | [
"Unlicense"
] | null | null | null | stupid_not_work/pwm_socket_server_gui.py | mikeroslikov/BLIMP | 84718a98bb4b31a8a73155547ed1e8537ef80eec | [
"Unlicense"
] | null | null | null | stupid_not_work/pwm_socket_server_gui.py | mikeroslikov/BLIMP | 84718a98bb4b31a8a73155547ed1e8537ef80eec | [
"Unlicense"
] | null | null | null | import socket
import time
throttle_position=1000
throttle_min =0
throttle_max = 0xffff
master = Tk()
master.geometry("500x500")
master.columnconfigure(0, weight=1)
master.rowconfigure(0, weight=1)
w1 = Scale(master, from_=throttle_min, to=throttle_max, tickinterval=10)
w1.set(throttle_min)
w1.pack(fill=BOTH)
# Crea... | 23.854167 | 72 | 0.687336 | import socket
import sys
import time
throttle_position=1000
throttle_min =0
throttle_max = 0xffff
from tkinter import *
master = Tk()
master.geometry("500x500")
master.columnconfigure(0, weight=1)
master.rowconfigure(0, weight=1)
w1 = Scale(master, from_=throttle_min, to=throttle_max, tickinterval=10)
w1.set(thrott... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 45 |
a4dcc5f588d7e513d03afc395d5dd04c07c6cb9d | 654 | py | Python | chapter1/code/params_global_argparse.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 74 | 2020-05-19T01:08:03.000Z | 2022-03-31T14:00:41.000Z | chapter1/code/params_global_argparse.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 1 | 2021-06-04T06:08:21.000Z | 2021-06-04T06:08:21.000Z | chapter1/code/params_global_argparse.py | gabrielmahia/ushuhudAI | ee40c9822852f66c6111d1d485dc676b6da70677 | [
"MIT"
] | 47 | 2020-05-05T12:06:31.000Z | 2022-03-10T04:45:01.000Z | import argparse
parser = argparse.ArgumentParser(description='Testing parameters')
parser.add_argument("-p1", dest="param1", help="parameter1")
parser.add_argument("-p2", dest="param2", help="parameter2")
params = parser.parse_args()
input_parameters = Parameters(param1=params.param1,param2=params.param2... | 26.16 | 73 | 0.707951 | import argparse
class Parameters:
"""Global parameters"""
def __init__(self, **kwargs):
self.param1 = kwargs.get("param1")
self.param2 = kwargs.get("param2")
def view_parameters(input_parameters):
print(input_parameters.param1)
print(input_parameters.param2)
parser ... | 0 | 0 | 0 | 150 | 0 | 89 | 0 | 0 | 51 |
ec31ee23234715462a66dee082636edc4e8caf82 | 979 | py | Python | scenarios/intersections/6lane/scenario.py | Semanti1/smarts_baseline | 77dbc350f37ae7735c74a2b8f1585c2818ac3421 | [
"MIT"
] | 5 | 2021-06-15T05:06:10.000Z | 2021-12-01T05:11:49.000Z | scenarios/intersections/6lane/scenario.py | Semanti1/smarts_baseline | 77dbc350f37ae7735c74a2b8f1585c2818ac3421 | [
"MIT"
] | null | null | null | scenarios/intersections/6lane/scenario.py | Semanti1/smarts_baseline | 77dbc350f37ae7735c74a2b8f1585c2818ac3421 | [
"MIT"
] | 1 | 2022-03-31T02:14:09.000Z | 2022-03-31T02:14:09.000Z | from pathlib import Path
from smarts.sstudio import gen_scenario
from smarts.sstudio.types import (SocialAgentActor, Scenario)
actors = [
SocialAgentActor(
name=f"non-interactive-agent-{speed}-v0",
agent_locator="zoo.policies:non-interactive-agent-v0",
policy_kwargs={"speed": speed},
)... | 25.763158 | 80 | 0.614913 | import os
from pathlib import Path
from smarts.sstudio import gen_scenario
from smarts.sstudio.types import (
Mission,
Route,
SocialAgentActor,
Scenario,
)
actors = [
SocialAgentActor(
name=f"non-interactive-agent-{speed}-v0",
agent_locator="zoo.policies:non-interactive-agent-v0",
... | 0 | 0 | 0 | 0 | 0 | 118 | 0 | 23 | 45 |
f1d5e52ea40f07596966b608a0b31cc62fe50969 | 4,976 | py | Python | Using Databases with Python/Geodata/geoload.py | Karoline0097/University-of-Michigan-Python-for-Everybody | 8b3999638c0c074ae3c1120de87cf8f31740ebb8 | [
"MIT"
] | null | null | null | Using Databases with Python/Geodata/geoload.py | Karoline0097/University-of-Michigan-Python-for-Everybody | 8b3999638c0c074ae3c1120de87cf8f31740ebb8 | [
"MIT"
] | null | null | null | Using Databases with Python/Geodata/geoload.py | Karoline0097/University-of-Michigan-Python-for-Everybody | 8b3999638c0c074ae3c1120de87cf8f31740ebb8 | [
"MIT"
] | null | null | null | ## STEP: GATHER DATA
# data source: where.data, Google Geodata API
# edit where.data to add an address nearby where you live
# use the Google geocoding API to clean up some user-entered geographic locations of university names
import urllib.request, urllib.parse, urllib.error
import sqlite3
import json
import time
imp... | 37.984733 | 109 | 0.697548 | ## STEP: GATHER DATA
# data source: where.data, Google Geodata API
# edit where.data to add an address nearby where you live
# use the Google geocoding API to clean up some user-entered geographic locations of university names
import urllib.request, urllib.parse, urllib.error
import http
import sqlite3
import json
imp... | 3 | 0 | 0 | 0 | 0 | 0 | 0 | -21 | 44 |
139922438afd400fe3016bba57e000f385c74743 | 392 | py | Python | setup.py | roblabs/gdal2tilesp | c92cc808c2ee614b2088d17634b76da9590b7273 | [
"Apache-2.0"
] | 18 | 2016-08-19T06:24:19.000Z | 2022-01-07T06:00:40.000Z | setup.py | roblabs/gdal2tilesp | c92cc808c2ee614b2088d17634b76da9590b7273 | [
"Apache-2.0"
] | 11 | 2016-08-18T15:00:13.000Z | 2020-02-03T19:43:50.000Z | setup.py | roblabs/gdal2tilesp | c92cc808c2ee614b2088d17634b76da9590b7273 | [
"Apache-2.0"
] | 11 | 2016-08-25T08:40:04.000Z | 2019-12-11T18:08:57.000Z | from setuptools import setup
setup(
name='gdal2tilesp.py',
version='3.14.15926',
author='',
author_email='',
packages=['.'],
scripts=['gdal2tilesp.py'],
url='https://github.com/roblabs/gdal2tilesp',
license='LICENSE.txt',
description='Enhancements to tile cutter for parallelism and ... | 26.133333 | 87 | 0.668367 | from setuptools import setup
setup(
name='gdal2tilesp.py',
version='3.14.15926',
author='',
author_email='',
packages=['.'],
scripts=['gdal2tilesp.py'],
url='https://github.com/roblabs/gdal2tilesp',
license='LICENSE.txt',
description='Enhancements to tile cutter for parallelism and ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8712734418a8763b66fe9e2ce2e53f044fb08ff4 | 1,121 | py | Python | 155-MinStack/MinStack.py | DarknessFall/MyLeetCode | 4c7dcacfc208a0188542b73ae62bb4f7e57bcf51 | [
"MIT"
] | null | null | null | 155-MinStack/MinStack.py | DarknessFall/MyLeetCode | 4c7dcacfc208a0188542b73ae62bb4f7e57bcf51 | [
"MIT"
] | null | null | null | 155-MinStack/MinStack.py | DarknessFall/MyLeetCode | 4c7dcacfc208a0188542b73ae62bb4f7e57bcf51 | [
"MIT"
] | null | null | null |
stack = MinStackNew()
stack.push(0)
stack.push(-1)
stack.push(0)
x = stack.getMin()
print(x)
stack.pop()
stack.pop()
x = stack.getMin()
print(x) | 15.569444 | 49 | 0.600357 | class MinStack:
def __init__(self):
"""
initialize your data structure here.
"""
self.stack1 = []
self.stack2 = []
def push(self, x: int) -> None:
if len(self.stack1) == 0 or x <= self.getMin():
self.stack2.append(x)
self.stack1.append(x)
def pop(self) -> None:
value = self.stack1.pop()
... | 0 | 0 | 0 | 923 | 0 | 0 | 0 | 0 | 47 |
da2ce721703a51a4f0e81c417b3dd0f0f7cf326e | 11,728 | py | Python | Examples/site/server/myclass.py | cyh-ustc/BlokusHacker | d08bd34df30b1b7ce6a09640b83c82babda9d593 | [
"MIT"
] | 20 | 2016-04-02T10:38:22.000Z | 2021-09-20T07:47:26.000Z | Examples/site/server/myclass.py | cyh-ustc/BlokusHacker | d08bd34df30b1b7ce6a09640b83c82babda9d593 | [
"MIT"
] | 3 | 2016-04-02T08:44:45.000Z | 2016-04-11T01:20:48.000Z | Examples/site/server/myclass.py | cyh-ustc/BlokusHacker | d08bd34df30b1b7ce6a09640b83c82babda9d593 | [
"MIT"
] | 14 | 2016-03-31T14:11:28.000Z | 2017-08-13T01:36:59.000Z |
#from simplejson import JSONDecoder
#from simplejson import JSONEncoder
# --------------------------------------------------------------------------------------
# This block define the input of the app
# the name of style is not difined
# json_example:
# '{"State": "Normal", "Style": "10", "Moves": [[1, 2],... | 36.880503 | 120 | 0.517224 |
#from simplejson import JSONDecoder
#from simplejson import JSONEncoder
# --------------------------------------------------------------------------------------
# This block define the input of the app
# the name of style is not difined
# json_example:
# '{"State": "Normal", "Style": "10", "Moves": [[1, 2],... | 539 | 0 | 0 | 9,081 | 0 | 1,376 | 0 | 2 | 147 |
1d16b85f47778da2655aaada8a1dc36f8747f3db | 3,525 | py | Python | autumn/model_runner.py | malanchak/AuTuMN | 0cbd006d1f15da414d02eed44e48bb5c06f0802e | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | autumn/model_runner.py | malanchak/AuTuMN | 0cbd006d1f15da414d02eed44e48bb5c06f0802e | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | autumn/model_runner.py | malanchak/AuTuMN | 0cbd006d1f15da414d02eed44e48bb5c06f0802e | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | """
Build and run any AuTuMN model, storing the outputs
"""
import os
import logging
import yaml
from datetime import datetime
from autumn import constants
from autumn.tool_kit.timer import Timer
from autumn.tool_kit.scenarios import Scenario
from autumn.tool_kit.utils import (get_git_branch, get_git_hash)
from autum... | 33.571429 | 97 | 0.639716 | """
Build and run any AuTuMN model, storing the outputs
"""
import os
import logging
import yaml
from datetime import datetime
from autumn import constants
from autumn.tool_kit.timer import Timer
from autumn.tool_kit.serializer import serialize_model
from autumn.tool_kit.scenarios import Scenario
from autumn.tool_kit... | 0 | 0 | 0 | 0 | 0 | 310 | 0 | 44 | 45 |
37bce0df6bd8a43af644e580e4fb57dc494b883f | 768 | py | Python | days/day101/Bite 18. Find the most common word/harry.py | alex-vegan/100daysofcode-with-python-course | b6c12316abe18274b7963371b8f0ed2fd549ef07 | [
"MIT"
] | 2 | 2018-10-28T17:12:37.000Z | 2018-10-28T17:12:39.000Z | days/day101/Bite 18. Find the most common word/harry.py | alex-vegan/100daysofcode-with-python-course | b6c12316abe18274b7963371b8f0ed2fd549ef07 | [
"MIT"
] | 3 | 2018-10-28T17:11:04.000Z | 2018-10-29T22:36:36.000Z | days/day101/Bite 18. Find the most common word/harry.py | alex-vegan/100daysofcode-with-python-course | b6c12316abe18274b7963371b8f0ed2fd549ef07 | [
"MIT"
] | null | null | null | import os
import urllib.request
# data provided
stopwords_file = os.path.join('/tmp', 'stopwords')
harry_text = os.path.join('/tmp', 'harry')
urllib.request.urlretrieve('http://bit.ly/2EuvyHB', stopwords_file)
urllib.request.urlretrieve('http://bit.ly/2C6RzuR', harry_text)
#stopwords_file = 'stopwords.txt'
... | 33.391304 | 68 | 0.64974 | import os
import urllib.request
from collections import Counter
import re
# data provided
stopwords_file = os.path.join('/tmp', 'stopwords')
harry_text = os.path.join('/tmp', 'harry')
urllib.request.urlretrieve('http://bit.ly/2EuvyHB', stopwords_file)
urllib.request.urlretrieve('http://bit.ly/2C6RzuR', harry_... | 0 | 0 | 0 | 0 | 0 | 354 | 0 | -2 | 70 |
6e2916af0581365bb3494ca2d3c85afdbe9c4fb8 | 2,062 | py | Python | libs/preprocessors/silhouette.py | ajkdrag/Who-Is-That-Pokemon-Bot | 6176148ee674c051458c744c6e05ad0934a7dcf7 | [
"MIT"
] | null | null | null | libs/preprocessors/silhouette.py | ajkdrag/Who-Is-That-Pokemon-Bot | 6176148ee674c051458c744c6e05ad0934a7dcf7 | [
"MIT"
] | null | null | null | libs/preprocessors/silhouette.py | ajkdrag/Who-Is-That-Pokemon-Bot | 6176148ee674c051458c744c6e05ad0934a7dcf7 | [
"MIT"
] | null | null | null | import logging
LOG = logging.getLogger(__name__)
| 36.175439 | 95 | 0.632881 | import logging
import cv2 as cv
from utils.functions import iter_dir, join, make_dirs
LOG = logging.getLogger(__name__)
class Silhouette:
def __init__(self, config):
self.config = config
def get_holes(self, image, thresh, base):
gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
im_bw = c... | 0 | 0 | 0 | 1,916 | 0 | 0 | 0 | 27 | 68 |
62732ead68f40bf265f23cb83b3530c32c6e7b6e | 2,084 | py | Python | giraffez/fmt.py | istvan-fodor/giraffez | 6b4d27eb1a1eaf188c6885c7364ef27e92b1b957 | [
"Apache-2.0"
] | 122 | 2016-08-18T21:12:58.000Z | 2021-11-24T14:45:19.000Z | giraffez/fmt.py | istvan-fodor/giraffez | 6b4d27eb1a1eaf188c6885c7364ef27e92b1b957 | [
"Apache-2.0"
] | 68 | 2016-08-31T18:19:16.000Z | 2021-11-01T19:21:22.000Z | giraffez/fmt.py | istvan-fodor/giraffez | 6b4d27eb1a1eaf188c6885c7364ef27e92b1b957 | [
"Apache-2.0"
] | 44 | 2016-08-19T01:22:21.000Z | 2022-03-23T17:39:40.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2016 Capital One Services, 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 ... | 29.771429 | 90 | 0.644914 | # -*- coding: utf-8 -*-
#
# Copyright 2016 Capital One Services, 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 ... | 0 | 0 | 0 | 0 | 0 | 1,192 | 0 | 1 | 275 |
d3521872ad60a69a63f6579c90ba8e0a110ff706 | 3,731 | py | Python | unet/unet_model.py | visinf/pixelpyramids | cd59fe8a8f744f556f44c1faeed958822b39fe7c | [
"Apache-2.0"
] | 8 | 2021-11-10T17:45:32.000Z | 2022-02-22T16:40:54.000Z | unet/unet_model.py | visinf/pixelpyramids | cd59fe8a8f744f556f44c1faeed958822b39fe7c | [
"Apache-2.0"
] | 1 | 2021-12-23T07:09:23.000Z | 2021-12-24T06:24:39.000Z | unet/unet_model.py | visinf/pixelpyramids | cd59fe8a8f744f556f44c1faeed958822b39fe7c | [
"Apache-2.0"
] | 1 | 2021-11-15T06:50:39.000Z | 2021-11-15T06:50:39.000Z | """ Full assembly of the parts to form the complete network """
'''class UNet(nn.Module):
def __init__(self, n_channels, n_classes, isfine=True, bilinear=True):
super(UNet, self).__init__()
self.n_channels = n_channels
self.n_classes = n_classes
self.is_fine = isfine
self.bi... | 35.198113 | 99 | 0.537925 | """ Full assembly of the parts to form the complete network """
import sys
import torch.nn.functional as F
from .unet_parts import *
'''class UNet(nn.Module):
def __init__(self, n_channels, n_classes, isfine=True, bilinear=True):
super(UNet, self).__init__()
self.n_channels = n_channels
se... | 0 | 0 | 0 | 2,396 | 0 | 0 | 0 | 3 | 90 |
edc112350f0641b049e49966a7cbc254a44c2bb1 | 6,467 | py | Python | pyuvdata/tests/test_fhd_cal.py | r-xue/pyuvdata | 667abc1a8a8a4fefd91f68a1cb15d4f62cd9fb60 | [
"BSD-2-Clause"
] | null | null | null | pyuvdata/tests/test_fhd_cal.py | r-xue/pyuvdata | 667abc1a8a8a4fefd91f68a1cb15d4f62cd9fb60 | [
"BSD-2-Clause"
] | null | null | null | pyuvdata/tests/test_fhd_cal.py | r-xue/pyuvdata | 667abc1a8a8a4fefd91f68a1cb15d4f62cd9fb60 | [
"BSD-2-Clause"
] | null | null | null | # -*- mode: python; coding: utf-8 -*
# Copyright (c) 2018 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Tests for FHD_cal object.
"""
from __future__ import absolute_import, division, print_function
import nose.tools as nt
import os
from pyuvdata import UVCal
import pyuvdata.tests as u... | 41.722581 | 106 | 0.720427 | # -*- mode: python; coding: utf-8 -*
# Copyright (c) 2018 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Tests for FHD_cal object.
"""
from __future__ import absolute_import, division, print_function
import nose.tools as nt
import os
import numpy as np
from pyuvdata import UVCal
import ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
1a2717656fd27b5bbc8cd7307b564457181591a0 | 2,605 | py | Python | qsdsan/sanunits/_component_splitter.py | stetsonrowles/QSDsan | a74949fcf9e6ff91e9160a75bedaf6fab2191efb | [
"NCSA",
"CNRI-Python",
"FTL"
] | null | null | null | qsdsan/sanunits/_component_splitter.py | stetsonrowles/QSDsan | a74949fcf9e6ff91e9160a75bedaf6fab2191efb | [
"NCSA",
"CNRI-Python",
"FTL"
] | null | null | null | qsdsan/sanunits/_component_splitter.py | stetsonrowles/QSDsan | a74949fcf9e6ff91e9160a75bedaf6fab2191efb | [
"NCSA",
"CNRI-Python",
"FTL"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
QSDsan: Quantitative Sustainable Design for sanitation and resource recovery systems
This module is developed by:
Yalin Li <zoe.yalin.li@gmail.com>
This module is under the University of Illinois/NCSA Open Source License.
Please refer to https://github.com/QSD-G... | 29.269663 | 105 | 0.59501 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
QSDsan: Quantitative Sustainable Design for sanitation and resource recovery systems
This module is developed by:
Yalin Li <zoe.yalin.li@gmail.com>
This module is under the University of Illinois/NCSA Open Source License.
Please refer to https://github.com/QSD-G... | 0 | 577 | 0 | 1,499 | 0 | 0 | 0 | 27 | 46 |
8ef77eaada8f6cb34ed14bebcaae741bfa4909f6 | 926 | py | Python | antaytheist/quote/quotefallacy.py | antaytheist/antaytheist | 52f64f5e09c4bd52d694eb44af62bb897ab492da | [
"MIT"
] | null | null | null | antaytheist/quote/quotefallacy.py | antaytheist/antaytheist | 52f64f5e09c4bd52d694eb44af62bb897ab492da | [
"MIT"
] | null | null | null | antaytheist/quote/quotefallacy.py | antaytheist/antaytheist | 52f64f5e09c4bd52d694eb44af62bb897ab492da | [
"MIT"
] | null | null | null | # fallacy quoter for antaytheist
import json
import requests
fallaciesjson = requests.get("https://yourlogicalfallacyis.com/js/data/fallacies.json", timeout=15)
fallaciesjson.raise_for_status()
fallacies = json.loads(fallaciesjson.text)
fallacynames = []
for fallacyitem in fallacies:
fallacynames.append(fallacyit... | 28.9375 | 103 | 0.61987 | # fallacy quoter for antaytheist
import json
import re
import requests
fallaciesjson = requests.get("https://yourlogicalfallacyis.com/js/data/fallacies.json", timeout=15)
fallaciesjson.raise_for_status()
fallacies = json.loads(fallaciesjson.text)
fallacynames = []
for fallacyitem in fallacies:
fallacynames.append... | 0 | 0 | 0 | 0 | 0 | 560 | 0 | -12 | 45 |
8180e77980290adfbae6f1839d3968062a315434 | 171 | py | Python | programmers/lv2_review/test.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | programmers/lv2_review/test.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | programmers/lv2_review/test.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | idx = 0
a, b, c = map(int, input().split())
for i in range(a):
for j in range(b):
for k in range(c):
idx += 1
print(i, j, k)
print(idx) | 21.375 | 35 | 0.461988 | idx = 0
a, b, c = map(int, input().split())
for i in range(a):
for j in range(b):
for k in range(c):
idx += 1
print(i, j, k)
print(idx) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6b00713419d5784bad69590ca1e8452a747dae46 | 809 | py | Python | ImageProcessing/LiveStreamVideo/Video/old/webcamread.py | gudduarnav/ImageProcessingPython | e0d5d3f64d8a209ff986e10d81763f9614e2403d | [
"MIT"
] | null | null | null | ImageProcessing/LiveStreamVideo/Video/old/webcamread.py | gudduarnav/ImageProcessingPython | e0d5d3f64d8a209ff986e10d81763f9614e2403d | [
"MIT"
] | null | null | null | ImageProcessing/LiveStreamVideo/Video/old/webcamread.py | gudduarnav/ImageProcessingPython | e0d5d3f64d8a209ff986e10d81763f9614e2403d | [
"MIT"
] | null | null | null | # Live stream a Colored video from Webcam or default Video Capture device
import cv2
# Open the default Video Capture device (or WebCam)
v = cv2.VideoCapture(0)
# Check if the file can be opened successfully
if(v.isOpened() == "False"):
print("ERROR: Cannot open the Video File")
quit()
print("SUCCESS: Video... | 22.472222 | 73 | 0.663782 | # Live stream a Colored video from Webcam or default Video Capture device
import cv2
# Open the default Video Capture device (or WebCam)
v = cv2.VideoCapture(0)
# Check if the file can be opened successfully
if(v.isOpened() == "False"):
print("ERROR: Cannot open the Video File")
quit()
print("SUCCESS: Video... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b85d122594b4531661a033b8ba3925c5dc50ff2c | 724 | py | Python | 06.py | sqldan/advent-of-code-2020 | 17c5240da16dec81d84859061fdb5d3a3174c860 | [
"MIT"
] | null | null | null | 06.py | sqldan/advent-of-code-2020 | 17c5240da16dec81d84859061fdb5d3a3174c860 | [
"MIT"
] | null | null | null | 06.py | sqldan/advent-of-code-2020 | 17c5240da16dec81d84859061fdb5d3a3174c860 | [
"MIT"
] | null | null | null | answers = []
with open("input06.txt") as f:
ans = set('')
for line in f:
line = line.strip()
if not line:
answers.append(ans)
ans = set('')
else:
ans = ans.union(set(line))
ans = ans.union(set(line))
answers.append(ans)
print(sum([len(a) for a in ans... | 23.354839 | 51 | 0.558011 | answers = []
with open("input06.txt") as f:
ans = set('')
for line in f:
line = line.strip()
if not line:
answers.append(ans)
ans = set('')
else:
ans = ans.union(set(line))
ans = ans.union(set(line))
answers.append(ans)
print(sum([len(a) for a in ans... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
97dddffe5b61ea8e1e48b4113345224990d3eccd | 4,648 | py | Python | bedevere/util.py | hugovk/bedevere | 1163568e89fe5b4bbad66885fef6d3a2fc85c736 | [
"Apache-2.0"
] | null | null | null | bedevere/util.py | hugovk/bedevere | 1163568e89fe5b4bbad66885fef6d3a2fc85c736 | [
"Apache-2.0"
] | null | null | null | bedevere/util.py | hugovk/bedevere | 1163568e89fe5b4bbad66885fef6d3a2fc85c736 | [
"Apache-2.0"
] | null | null | null |
DEFAULT_BODY = ""
TAG_NAME = "gh-issue-number"
NEWS_NEXT_DIR = "Misc/NEWS.d/next/"
CLOSING_TAG = f"<!-- /{TAG_NAME} -->"
BODY = f"""\
{{body}}
<!-- {TAG_NAME}: gh-{{issue_number}} -->
* gh-{{issue_number}}
{CLOSING_TAG}
"""
def create_status(context, state, *, description=None, target_url=None):
"""Create the... | 27.502959 | 83 | 0.6321 | import enum
import sys
import gidgethub
DEFAULT_BODY = ""
TAG_NAME = "gh-issue-number"
NEWS_NEXT_DIR = "Misc/NEWS.d/next/"
CLOSING_TAG = f"<!-- /{TAG_NAME} -->"
BODY = f"""\
{{body}}
<!-- {TAG_NAME}: gh-{{issue_number}} -->
* gh-{{issue_number}}
{CLOSING_TAG}
"""
@enum.unique
class StatusState(enum.Enum):
SUC... | 6 | 89 | 2,420 | 0 | 0 | 344 | 0 | -26 | 297 |
88d146fb72f4520dbbb2e8d70ecdedfaf44b1bb6 | 4,218 | py | Python | dev_ws/src/everyday_studio/capture.py | MichaelContrerasR/Face-every-day-maker | 788b36e3b4a3830c6a1f45c3d92b9b35a0ff46e0 | [
"Apache-2.0"
] | 7 | 2021-06-13T10:33:24.000Z | 2021-08-22T12:46:33.000Z | dev_ws/src/everyday_studio/capture.py | MichaelContrerasR/Face-every-day-maker | 788b36e3b4a3830c6a1f45c3d92b9b35a0ff46e0 | [
"Apache-2.0"
] | null | null | null | dev_ws/src/everyday_studio/capture.py | MichaelContrerasR/Face-every-day-maker | 788b36e3b4a3830c6a1f45c3d92b9b35a0ff46e0 | [
"Apache-2.0"
] | 5 | 2021-06-13T04:31:03.000Z | 2021-07-19T22:03:23.000Z | """
Author: John Betacourt Gonzalez
Aka: @JohnBetaCode
"""
# =============================================================================
# LIBRARIES AND DEPENDENCIES - LIBRARIES AND DEPENDENCIES - LIBRARIES AND DEPEN
# =============================================================================
# =================... | 34.292683 | 124 | 0.490991 | """
Author: John Betacourt Gonzalez
Aka: @JohnBetaCode
"""
# =============================================================================
# LIBRARIES AND DEPENDENCIES - LIBRARIES AND DEPENDENCIES - LIBRARIES AND DEPEN
# =============================================================================
from utils import pr... | 0 | 617 | 0 | 2,391 | 0 | 0 | 0 | -6 | 110 |
77bffa1098b8768211df90eae754fc4c4e7a4356 | 3,101 | py | Python | parsons/ngpvan/locations.py | cmc333333/parsons | 50804a3627117797570f1e9233c9bbad583f7831 | [
"Apache-2.0"
] | 3 | 2019-09-05T16:57:15.000Z | 2019-10-01T19:56:58.000Z | parsons/ngpvan/locations.py | cmc333333/parsons | 50804a3627117797570f1e9233c9bbad583f7831 | [
"Apache-2.0"
] | 22 | 2019-09-03T13:23:37.000Z | 2019-10-03T20:32:48.000Z | parsons/ngpvan/locations.py | cmc333333/parsons | 50804a3627117797570f1e9233c9bbad583f7831 | [
"Apache-2.0"
] | 2 | 2019-09-01T18:30:10.000Z | 2019-10-03T20:07:46.000Z | """NGPVAN Locations Endpoints"""
import logging
logger = logging.getLogger(__name__)
| 28.190909 | 88 | 0.530474 | """NGPVAN Locations Endpoints"""
from parsons.etl.table import Table
import logging
logger = logging.getLogger(__name__)
class Locations(object):
def __init__(self, van_connection):
self.connection = van_connection
def get_locations(self, name=None):
"""
Get locations.
`A... | 0 | 0 | 0 | 2,954 | 0 | 0 | 0 | 14 | 46 |
07f3903bad8e2886e3957bfe37cc6140d43c9015 | 14,018 | py | Python | kindlestrip.py | cxumol/kindlestrip | 05646993262cf7cb998ead2ca60867d20e14cbe3 | [
"Unlicense"
] | 3 | 2018-10-19T09:51:29.000Z | 2020-07-22T19:06:13.000Z | kindlestrip.py | cxumol/kindlestrip | 05646993262cf7cb998ead2ca60867d20e14cbe3 | [
"Unlicense"
] | null | null | null | kindlestrip.py | cxumol/kindlestrip | 05646993262cf7cb998ead2ca60867d20e14cbe3 | [
"Unlicense"
] | 1 | 2019-11-17T04:06:26.000Z | 2019-11-17T04:06:26.000Z | #!/usr/bin/env python
# vim:fileencoding=UTF-8:ts=4:sw=4:sta:et:sts=4:ai
#
# This is a python script. You need a Python interpreter to run it.
# For example, ActiveState Python, which exists for windows.
#
# This script strips the penultimate record from a Mobipocket file.
# This is useful because the current KindleGen... | 36.792651 | 112 | 0.643458 | #!/usr/bin/env python
# vim:fileencoding=UTF-8:ts=4:sw=4:sta:et:sts=4:ai
#
# This is a python script. You need a Python interpreter to run it.
# For example, ActiveState Python, which exists for windows.
#
# This script strips the penultimate record from a Mobipocket file.
# This is useful because the current KindleGen... | 0 | 0 | 0 | 5,168 | 0 | 5,214 | 0 | -44 | 407 |
246d46ae6c505df31b87fe4cb7e01b2fa96c9f97 | 1,484 | py | Python | tools/icon_map_generator.py | pjeanjean/dakara-player | 0251f42ab86a3ae8fdfc2bb61d156527807dedf2 | [
"MIT"
] | null | null | null | tools/icon_map_generator.py | pjeanjean/dakara-player | 0251f42ab86a3ae8fdfc2bb61d156527807dedf2 | [
"MIT"
] | null | null | null | tools/icon_map_generator.py | pjeanjean/dakara-player | 0251f42ab86a3ae8fdfc2bb61d156527807dedf2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import re
import os
import json
from argparse import ArgumentParser
CSS_ICON_NAME_PARSER = r"""\.fa-([^:]*?):(?=[^}]*?content:\s*['"](.*?)['"])"""
def generate(css_file, json_file):
"""Generate a file that contains code for character names
"""
# check css_file exists
if not os... | 22.830769 | 80 | 0.623989 | #!/usr/bin/env python3
import re
import os
import json
from argparse import ArgumentParser
CSS_ICON_NAME_PARSER = r"""\.fa-([^:]*?):(?=[^}]*?content:\s*['"](.*?)['"])"""
def generate(css_file, json_file):
"""Generate a file that contains code for character names
"""
# check css_file exists
if not os... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fccb8d9930d2562fe22c0a8e111619c543d501f6 | 11,310 | py | Python | workunit.py | ringThePeople/LCA_web_service | 4addd167d63e5d60816939939c5fb7d16d2cfbd7 | [
"MIT"
] | null | null | null | workunit.py | ringThePeople/LCA_web_service | 4addd167d63e5d60816939939c5fb7d16d2cfbd7 | [
"MIT"
] | null | null | null | workunit.py | ringThePeople/LCA_web_service | 4addd167d63e5d60816939939c5fb7d16d2cfbd7 | [
"MIT"
] | null | null | null | import json
import csv
import berexapi as bex
from pandas import Series, DataFrame
import pandas as pd
import tools.color as toolcolor
import tools.arrange as toolarrange
import numpy as np
import itertools
import tools.repack as toolrepack
import tools.genie3 as toolgenie3
ERROR_CODE = ["", 1]
if _... | 31.859155 | 204 | 0.660566 | import json
from numpy import *
import csv
import berexapi as bex
from pandas import Series, DataFrame
import pandas as pd
import tools.color as toolcolor
import tools.arrange as toolarrange
import numpy as np
import itertools
import tools.repack as toolrepack
import tools.genie3 as toolgenie3
ERROR_CODE ... | 0 | 0 | 0 | 0 | 0 | 10,820 | 0 | -2 | 123 |
2496d5bf833996999c495500f73b3012f376f5fa | 13,697 | py | Python | asdfghjkl/matrices.py | rioyokotalab/asdfghjkl | f435c1e2527162fb07512b4ce5058460aab238b9 | [
"MIT"
] | null | null | null | asdfghjkl/matrices.py | rioyokotalab/asdfghjkl | f435c1e2527162fb07512b4ce5058460aab238b9 | [
"MIT"
] | null | null | null | asdfghjkl/matrices.py | rioyokotalab/asdfghjkl | f435c1e2527162fb07512b4ce5058460aab238b9 | [
"MIT"
] | null | null | null |
import torch
HESSIAN = 'hessian' # Hessian
FISHER_EXACT = 'fisher_exact' # exact Fisher
FISHER_MC = 'fisher_mc' # Fisher estimation by Monte-Carlo sampling
COV = 'cov' # no-centered covariance a.k.a. empirical Fisher
SHAPE_FULL = 'full' # full
SHAPE_BLOCK_DIAG = 'block_diag' # layer-wise block-diagonal
SHAPE_K... | 36.23545 | 132 | 0.571658 | import os
import copy
import torch
import torch.distributed as dist
from .symmatrix import SymMatrix
HESSIAN = 'hessian' # Hessian
FISHER_EXACT = 'fisher_exact' # exact Fisher
FISHER_MC = 'fisher_mc' # Fisher estimation by Monte-Carlo sampling
COV = 'cov' # no-centered covariance a.k.a. empirical Fisher
SHAPE_F... | 0 | 154 | 0 | 12,439 | 0 | 205 | 0 | 0 | 135 |
7c4a5c208693dc301133a460806a91704d8e72d2 | 148 | py | Python | chuck-pyth/code/copytildone.py | KaiserPhemi/python-101 | 703facf41f1b47c486e5044696ce87b6d28a9ab3 | [
"MIT"
] | 41 | 2015-02-27T22:13:41.000Z | 2021-11-14T15:37:29.000Z | chuck-pyth/code/copytildone.py | KaiserPhemi/python-101 | 703facf41f1b47c486e5044696ce87b6d28a9ab3 | [
"MIT"
] | 2 | 2015-12-15T04:03:15.000Z | 2017-01-13T15:29:47.000Z | chuck-pyth/code/copytildone.py | KaiserPhemi/python-101 | 703facf41f1b47c486e5044696ce87b6d28a9ab3 | [
"MIT"
] | 45 | 2015-01-03T17:26:02.000Z | 2022-01-09T16:06:04.000Z | while True:
line = raw_input('> ')
if line[0] == '#' :
continue
if line == 'done':
break
print line
print 'Done!'
| 13.454545 | 26 | 0.472973 | while True:
line = raw_input('> ')
if line[0] == '#' :
continue
if line == 'done':
break
print line
print 'Done!'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a63ed94125041dfe1732611478aa856e87d8ccc | 1,029 | py | Python | test_package/conanfile.py | lucteo/conan-llvm | 48ac43d0338f425b8fdea66b29f531c695b7fe1c | [
"MIT"
] | 2 | 2017-02-17T11:47:03.000Z | 2020-03-20T23:47:08.000Z | test_package/conanfile.py | lucteo/conan-llvm | 48ac43d0338f425b8fdea66b29f531c695b7fe1c | [
"MIT"
] | 1 | 2018-02-20T22:48:01.000Z | 2018-02-21T18:13:37.000Z | test_package/conanfile.py | lucteo/conan-llvm | 48ac43d0338f425b8fdea66b29f531c695b7fe1c | [
"MIT"
] | 3 | 2018-01-14T20:34:27.000Z | 2018-04-01T08:53:34.000Z | import os
############### CONFIGURE THESE VALUES ##################
default_user = "lucteo"
default_channel = "testing"
#########################################################
channel = os.getenv("CONAN_CHANNEL", default_channel)
username = os.getenv("CONAN_USERNAME", default_user)
| 33.193548 | 82 | 0.579203 | from conans import ConanFile, CMake
import os
############### CONFIGURE THESE VALUES ##################
default_user = "lucteo"
default_channel = "testing"
#########################################################
channel = os.getenv("CONAN_CHANNEL", default_channel)
username = os.getenv("CONAN_USERNAME", default_use... | 0 | 0 | 0 | 683 | 0 | 0 | 0 | 14 | 45 |
ede3be627374eb4e0bbf1cb79ed587d97de563ee | 19,123 | py | Python | code/network_helpers.py | lujonathanh/BETS | 7121e16281e0e7973c1ee6f631b59ac1f7e7a7d5 | [
"Apache-2.0"
] | 12 | 2019-04-02T05:22:03.000Z | 2021-09-18T14:46:29.000Z | code/network_helpers.py | lujonathanh/BETS | 7121e16281e0e7973c1ee6f631b59ac1f7e7a7d5 | [
"Apache-2.0"
] | 1 | 2019-06-05T20:12:18.000Z | 2019-06-06T16:12:03.000Z | code/network_helpers.py | lujonathanh/BETS | 7121e16281e0e7973c1ee6f631b59ac1f7e7a7d5 | [
"Apache-2.0"
] | 3 | 2020-07-15T21:34:46.000Z | 2021-02-21T17:47:01.000Z | __author__ = 'jlu96'
import numpy as np
import pandas as pd
import collections
global data_dir
data_dir = "/Users/jlu96/v-causal-snps/data/GeneExpressionData/GGR_Network/"
global genecols
genecols = ["Official Symbol Interactor A", "Official Symbol Interactor B"]
def annotate_cols(df, cols, genes, name):... | 27.876093 | 127 | 0.619045 | __author__ = 'jlu96'
import csv
import numpy as np
import json
import pandas as pd
import collections
global data_dir
data_dir = "/Users/jlu96/v-causal-snps/data/GeneExpressionData/GGR_Network/"
global genecols
genecols = ["Official Symbol Interactor A", "Official Symbol Interactor B"]
def load_hg_ensg_old():
h... | 0 | 0 | 0 | 0 | 0 | 7,518 | 0 | -21 | 550 |
634a8730df30da759f5eb7f0b329cabff1b0d86f | 3,241 | py | Python | example.py | dunky11/exponential-weighting-watermarking | 717bd04ac05daf8eb7e902ec84b04fc02126bf92 | [
"MIT"
] | 7 | 2020-11-22T19:14:17.000Z | 2022-03-01T05:59:58.000Z | example.py | dunky11/exponential-weighting-watermarking | 717bd04ac05daf8eb7e902ec84b04fc02126bf92 | [
"MIT"
] | 1 | 2021-10-05T21:17:02.000Z | 2021-10-05T21:17:02.000Z | example.py | dunky11/exponential-weighting-watermarking | 717bd04ac05daf8eb7e902ec84b04fc02126bf92 | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow import keras
import tensorflow_datasets as tfds
from ew import EWDense, EWConv2D
AUTOTUNE = tf.data.experimental.AUTOTUNE
dataset = tfds.load("mnist", as_supervised=True, split="train")
val_set = tfds.load("mnist", as_supervised=True, split="test")
dataset = dataset.map(to_f... | 33.412371 | 290 | 0.735267 | import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import tensorflow_datasets as tfds
import random
from ew import EWBase, EWDense, EWConv2D
AUTOTUNE = tf.data.experimental.AUTOTUNE
def enable_ew(model):
for layer in model.layers:
if isinstance(layer, EWBase):
... | 0 | 0 | 0 | 0 | 0 | 263 | 0 | 10 | 136 |
bcaff74a3fb31af55f4d0dcd134ec2f92c623590 | 2,151 | py | Python | Avito/QA_Excellence/scripts/task1/task1.py | stanislav-kudriavtsev/Test-Tasks | fc0c26eb7afc995b48897861554512a8412a6ef3 | [
"CC0-1.0"
] | null | null | null | Avito/QA_Excellence/scripts/task1/task1.py | stanislav-kudriavtsev/Test-Tasks | fc0c26eb7afc995b48897861554512a8412a6ef3 | [
"CC0-1.0"
] | null | null | null | Avito/QA_Excellence/scripts/task1/task1.py | stanislav-kudriavtsev/Test-Tasks | fc0c26eb7afc995b48897861554512a8412a6ef3 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Task 1 - data parsing."""
__author__ = "Stanislav D. Kudriavtsev"
import json
from pathlib import Path
from sys import exit
# Attention.
# the original files were with mistakes
# so they all were passed through JSON
# online validator and beautifier, see
# README ... | 29.067568 | 78 | 0.555091 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Task 1 - data parsing."""
__author__ = "Stanislav D. Kudriavtsev"
import json
from pathlib import Path
from sys import exit
# Attention.
# the original files were with mistakes
# so they all were passed through JSON
# online validator and beautifier, see
# README ... | 46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fe9cd45bc69ace98750dc3416020c7bbca73ef19 | 1,828 | py | Python | scalica/web/scalica/populate_test_2.py | BlindGhosty/LSWA-Project | 950fa492426bcebe60872c9a24e00399ff63f045 | [
"MIT"
] | null | null | null | scalica/web/scalica/populate_test_2.py | BlindGhosty/LSWA-Project | 950fa492426bcebe60872c9a24e00399ff63f045 | [
"MIT"
] | 2 | 2017-12-03T23:04:13.000Z | 2017-12-03T23:49:25.000Z | scalica/web/scalica/populate_test_2.py | BlindGhosty/LSWA-Project | 950fa492426bcebe60872c9a24e00399ff63f045 | [
"MIT"
] | null | null | null | import sys
from django.contrib.auth import authenticate
from django.contrib.auth import get_user_model
from django.utils import timezone
from micro.models import Following
import random
User = get_user_model()
user_nameL = "L"
user_nameR = "R"
password = "pass"
TOTAL_USERS = 20
MAX_FOLLOWERS = 3
i = 0
while (i < TO... | 28.5625 | 109 | 0.68709 | import sys
from django.contrib.auth import authenticate
from django.contrib.auth import get_user_model
from django.utils import timezone
from micro.models import Following
import random
User = get_user_model()
user_nameL = "L"
user_nameR = "R"
password = "pass"
TOTAL_USERS = 20
MAX_FOLLOWERS = 3
i = 0
while (i < TO... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
75dae17e02466a6554ef3f2682cb050534a5fe72 | 35 | py | Python | src/models/train_model.py | suppathak/anomaly-detection-HTM | baca3c6bcf68b27ebefb1735d9f73c1cb15a1e0f | [
"FTL"
] | 7 | 2020-06-30T15:44:44.000Z | 2022-03-02T12:23:40.000Z | src/models/train_model.py | suppathak/anomaly-detection-HTM | baca3c6bcf68b27ebefb1735d9f73c1cb15a1e0f | [
"FTL"
] | 39 | 2021-09-09T21:42:19.000Z | 2022-03-21T15:30:08.000Z | src/models/train_model.py | suppathak/anomaly-detection-HTM | baca3c6bcf68b27ebefb1735d9f73c1cb15a1e0f | [
"FTL"
] | 17 | 2020-06-19T20:55:22.000Z | 2021-08-30T16:42:22.000Z | """Here goes the training code."""
| 17.5 | 34 | 0.657143 | """Here goes the training code."""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e226b11de8770b5ab2d4e922dd1283b226547d37 | 7,804 | py | Python | src/aggregator.py | dmartyanov/timeseries-vae-anomaly | 354127c1a34e4ddc3dbb37d38538964f6aff068e | [
"MIT"
] | null | null | null | src/aggregator.py | dmartyanov/timeseries-vae-anomaly | 354127c1a34e4ddc3dbb37d38538964f6aff068e | [
"MIT"
] | 4 | 2020-11-13T18:36:26.000Z | 2022-02-10T00:41:38.000Z | src/aggregator.py | dmartyanov/timeseries-vae-anomaly | 354127c1a34e4ddc3dbb37d38538964f6aff068e | [
"MIT"
] | 1 | 2020-03-03T17:30:56.000Z | 2020-03-03T17:30:56.000Z | import os
import json
import pandas as pd
from datetime import timedelta
SAMPLES_FOLDER = os.environ.get('SAMPLES_FOLDER')
application_diagram = {
'productpage': set(['reviews', 'details']),
'reviews': set(['ratings']),
'details': set()
}
k1 = '#DC7633'
k2 = '#E74C3C'
delta = timedelta(seconds=5)
... | 35.472727 | 127 | 0.582394 | import os
import json
import pandas as pd
import numpy as np
import uuid
import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import random
from datetime import datetime, timedelta
SAMPLES_FOLDER = os.environ.get('SAMPLES_FOLDER')
application_diagram = {
'productpage': set(['reviews', 'details']... | 0 | 0 | 0 | 6,676 | 0 | 0 | 0 | 12 | 159 |
d1f7fa38176bcb6053a6fa5ffbbb440fd27e5d2f | 480 | py | Python | codes_/0728_Self_Dividing_Numbers.py | SaitoTsutomu/leetcode | 4656d66ab721a5c7bc59890db9a2331c6823b2bf | [
"MIT"
] | null | null | null | codes_/0728_Self_Dividing_Numbers.py | SaitoTsutomu/leetcode | 4656d66ab721a5c7bc59890db9a2331c6823b2bf | [
"MIT"
] | null | null | null | codes_/0728_Self_Dividing_Numbers.py | SaitoTsutomu/leetcode | 4656d66ab721a5c7bc59890db9a2331c6823b2bf | [
"MIT"
] | null | null | null | # %% [728. Self Dividing Numbers](https://leetcode.com/problems/self-dividing-numbers/)
# leftrightself-dividingself-dividing
# `k, m = m % 10, m // 10`
| 30 | 87 | 0.6125 | # %% [728. Self Dividing Numbers](https://leetcode.com/problems/self-dividing-numbers/)
# 問題：leftからrightまででself-dividingの数をリストで返せ。self-dividingは、各桁の数字で割り切れる
# 解法：各桁は`k, m = m % 10, m // 10`のように更新する
class Solution:
def selfDividingNumbers(self, left: int, right: int) -> List[int]:
return [n for n in range(le... | 135 | 0 | 0 | 125 | 0 | 111 | 0 | 0 | 45 |
f4486965ca8aab1f75920c2f84fd0b24dd3afd98 | 461 | py | Python | cvat/apps/project_submission/signals.py | hukkelas/cvat_tdt4265 | f389ba8c3e5dab7408ef5ca0ecdac061b5e07c8c | [
"MIT"
] | null | null | null | cvat/apps/project_submission/signals.py | hukkelas/cvat_tdt4265 | f389ba8c3e5dab7408ef5ca0ecdac061b5e07c8c | [
"MIT"
] | 1 | 2020-09-17T19:27:02.000Z | 2020-09-29T11:56:26.000Z | cvat/apps/project_submission/signals.py | ErlingLie/cvat | f053d14955b1e48bf6498466949f4beb1833fe8e | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
User = get_user_model()
| 30.733333 | 82 | 0.787419 | from django.db.models.signals import post_save
from django.dispatch import receiver
from django.contrib.auth import get_user_model
from .models import LeaderboardSettings
User = get_user_model()
@receiver(post_save, sender=User)
def update_submission_map(sender, instance, created, **kwargs):
"""automatically cre... | 0 | 241 | 0 | 0 | 0 | 0 | 0 | 58 | 90 |
abdeb184ccdd44588dd8af406dd4aae199799b12 | 81 | py | Python | codesignal/arcade/largestNumber.py | stephanosterburg/coding_challenges | 601cf1360a7fdf068487106ba995955407365983 | [
"MIT"
] | null | null | null | codesignal/arcade/largestNumber.py | stephanosterburg/coding_challenges | 601cf1360a7fdf068487106ba995955407365983 | [
"MIT"
] | null | null | null | codesignal/arcade/largestNumber.py | stephanosterburg/coding_challenges | 601cf1360a7fdf068487106ba995955407365983 | [
"MIT"
] | 1 | 2019-11-08T00:49:14.000Z | 2019-11-08T00:49:14.000Z |
n = 2
print(largestNumber(n))
| 11.571429 | 26 | 0.641975 | def largestNumber(n):
return int(str(9) * n)
n = 2
print(largestNumber(n))
| 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 22 |
d4e36c47d10ab2b44cf48d5216eb58aa73ba1d4c | 1,409 | py | Python | concat_csv.py | t2hk/scdv_glove_elasticsearch | 41cd336decf1e14e77439caaa26f64edf28ce42b | [
"Apache-2.0"
] | 2 | 2020-01-07T15:44:04.000Z | 2020-02-28T08:03:15.000Z | concat_csv.py | t2hk/scdv_glove_elasticsearch | 41cd336decf1e14e77439caaa26f64edf28ce42b | [
"Apache-2.0"
] | null | null | null | concat_csv.py | t2hk/scdv_glove_elasticsearch | 41cd336decf1e14e77439caaa26f64edf28ce42b | [
"Apache-2.0"
] | null | null | null | import glob, os, argparse
import pandas as pd
parser = argparse.ArgumentParser()
parser.add_argument('csv_dir')
parser.add_argument('output_file')
args = parser.parse_args()
# CSVCSV
files = glob.glob(args.csv_dir + '/*.csv')
major_class_name = "()_"
medium_class_name = "()_"
small_class_name = "()_"
# CSVoutput
wa... | 23.881356 | 59 | 0.658623 | import re, glob, sys, os, argparse
import pandas as pd
import numpy as np
parser = argparse.ArgumentParser()
parser.add_argument('csv_dir')
parser.add_argument('output_file')
args = parser.parse_args()
# 指定されたCSVディレクトリ配下の全CSVファイルのパス
files = glob.glob(args.csv_dir + '/*.csv')
major_class_name = "業種(大分類)_分類名"
medium_c... | 498 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 22 |
aa9464e6bc496a9384634706e8a46594b1baf579 | 1,914 | py | Python | tests/webapp/driver_wrapper.py | amplify-education/selen_kaa | 8f3f683d97f15be8bda050975c64c7883471e648 | [
"MIT"
] | 4 | 2019-11-10T19:17:15.000Z | 2021-07-20T12:41:25.000Z | tests/webapp/driver_wrapper.py | amplify-education/selen_kaa | 8f3f683d97f15be8bda050975c64c7883471e648 | [
"MIT"
] | 3 | 2020-04-15T14:44:50.000Z | 2020-04-15T14:59:35.000Z | tests/webapp/driver_wrapper.py | amplify-education/selen_kaa | 8f3f683d97f15be8bda050975c64c7883471e648 | [
"MIT"
] | 1 | 2022-01-24T10:05:29.000Z | 2022-01-24T10:05:29.000Z | """Just a class to verify the wrapping works"""
from selen_kaa.utils import se_utils
DEFAULT_TIMEOUT = 7
TimeoutType = se_utils.TimeoutType
| 31.377049 | 117 | 0.713166 | """Just a class to verify the wrapping works"""
import re
import time
import logging
from selenium.common.exceptions import WebDriverException, UnexpectedAlertPresentException
from selen_kaa.webdriver import SeWebDriver
from selen_kaa.element.se_web_element import SeWebElement
from selen_kaa.utils import se_utils
D... | 0 | 407 | 0 | 1,061 | 0 | 0 | 0 | 98 | 203 |
7978347b2616c4e3c10be2b460295ceffd96f5c8 | 2,993 | py | Python | app/request.py | scottwedge/News-Highlight | c321d683dde5bd7f4a38f100bcaa91e1f4de2e08 | [
"MIT"
] | null | null | null | app/request.py | scottwedge/News-Highlight | c321d683dde5bd7f4a38f100bcaa91e1f4de2e08 | [
"MIT"
] | 2 | 2020-02-06T22:03:41.000Z | 2020-02-07T19:08:42.000Z | app/request.py | scottwedge/News-Highlight | c321d683dde5bd7f4a38f100bcaa91e1f4de2e08 | [
"MIT"
] | 2 | 2020-02-06T19:11:39.000Z | 2020-02-06T19:59:56.000Z | # from app import app
import urllib.request
import json
from .models import Source, Article
# Source = source.Source
# Getting api key
api_key = None
# Getting the news base url
source_base_url = None
article_base_url = None
def configure_request(app):
'''
Function to acquire the api key and base urls
'''
gl... | 26.486726 | 86 | 0.732376 | # from app import app
import urllib.request
import json
from .models import Source,Article
# Source = source.Source
# Getting api key
api_key = None
# Getting the news base url
source_base_url = None
article_base_url = None
def configure_request(app):
'''
Function to acquire the api key and base urls
'''
glo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 0 |
091c4f92c6297aefbd437d098277c136b8dd7a08 | 1,387 | py | Python | examples/cell/hppc_rctau.py | batterysim/equiv-circ-model | fc3720ff13db2d393aadef60187364c02a0b0d35 | [
"MIT"
] | 33 | 2019-07-19T16:15:50.000Z | 2022-03-30T13:37:48.000Z | examples/cell/hppc_rctau.py | batterysim/equiv-circ-model | fc3720ff13db2d393aadef60187364c02a0b0d35 | [
"MIT"
] | 2 | 2020-06-12T21:30:26.000Z | 2020-10-21T19:42:42.000Z | examples/cell/hppc_rctau.py | batterysim/equiv-circ-model | fc3720ff13db2d393aadef60187364c02a0b0d35 | [
"MIT"
] | 15 | 2019-11-14T06:04:48.000Z | 2021-10-05T11:58:28.000Z | """
Use HPPC battery cell data to determine the tau, resistor and capacitor values
(RC parameters) for each SOC section. Curve fit coefficients are determined
from the two time constant (TTC) function.
"""
import params
from ecm import CellHppcData
from ecm import CellEcm
# Battery cell HPPC data and equivalent circu... | 34.675 | 126 | 0.521269 | """
Use HPPC battery cell data to determine the tau, resistor and capacitor values
(RC parameters) for each SOC section. Curve fit coefficients are determined
from the two time constant (TTC) function.
"""
import params
from ecm import CellHppcData
from ecm import CellEcm
# Battery cell HPPC data and equivalent circu... | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
48a3fdc98ec582b021ad0adf80c3d431daa480b2 | 243 | py | Python | dynamic_programming/nth_tribonacci_number.py | elenaborisova/LeetCode-Solutions | 98376aab7fd150a724e316357ae5ea46988d9eac | [
"MIT"
] | null | null | null | dynamic_programming/nth_tribonacci_number.py | elenaborisova/LeetCode-Solutions | 98376aab7fd150a724e316357ae5ea46988d9eac | [
"MIT"
] | null | null | null | dynamic_programming/nth_tribonacci_number.py | elenaborisova/LeetCode-Solutions | 98376aab7fd150a724e316357ae5ea46988d9eac | [
"MIT"
] | null | null | null |
print(tribonacci(3))
| 12.15 | 27 | 0.390947 | def tribonacci(n):
t0 = 0
t1 = 1
t2 = 1
t = 0
if n == 1 or n == 2:
return 1
for i in range(3, n+1):
t = t0 + t1 + t2
t0 = t1
t1 = t2
t2 = t
return t
print(tribonacci(3))
| 0 | 0 | 0 | 0 | 0 | 198 | 0 | 0 | 22 |
4db81e3c6d1571cacdb07378ece06d15cbd81a75 | 1,284 | py | Python | cookbook/c09/p18_define_classes.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 3 | 2018-09-19T06:44:13.000Z | 2019-03-24T10:07:07.000Z | cookbook/c09/p18_define_classes.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 2 | 2020-09-19T17:10:23.000Z | 2020-10-17T16:43:52.000Z | cookbook/c09/p18_define_classes.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 1 | 2020-12-22T06:33:18.000Z | 2020-12-22T06:33:18.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
Topic:
Desc :
"""
# stock.py
# Example of making a class manually from parts
# Methods
cls_dict = {
'__init__': __init__,
'cost': cost,
}
# Make a class
import types
Stock = types.new_class('Stock', (), {}, lambda ns: ns.update(cls_dict))
Stock.__modu... | 22.137931 | 76 | 0.646417 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
Topic: 以编程方式定义类
Desc :
"""
# stock.py
# Example of making a class manually from parts
# Methods
def __init__(self, name, shares, price):
self.name = name
self.shares = shares
self.price = price
def cost(self):
return self.shares * self.price
cls... | 24 | 0 | 0 | 0 | 0 | 830 | 0 | -17 | 113 |
4089c1ab0ac1c81610c3364af753f1b0b1367400 | 2,015 | py | Python | bfebench/protocols/strategy.py | MatthiasLohr/bfebench | baca2e18a9c24282ecda99dccfd134fab4c223b3 | [
"Apache-2.0"
] | null | null | null | bfebench/protocols/strategy.py | MatthiasLohr/bfebench | baca2e18a9c24282ecda99dccfd134fab4c223b3 | [
"Apache-2.0"
] | null | null | null | bfebench/protocols/strategy.py | MatthiasLohr/bfebench | baca2e18a9c24282ecda99dccfd134fab4c223b3 | [
"Apache-2.0"
] | null | null | null | # This file is part of the Blockchain-based Fair Exchange Benchmark Tool
# https://gitlab.com/MatthiasLohr/bfebench
#
# Copyright 2021 Matthias Lohr <mail@mlohr.com>
#
# 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... | 28.785714 | 108 | 0.704715 | # This file is part of the Blockchain-based Fair Exchange Benchmark Tool
# https://gitlab.com/MatthiasLohr/bfebench
#
# Copyright 2021 Matthias Lohr <mail@mlohr.com>
#
# 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... | 0 | 103 | 0 | 871 | 0 | 0 | 0 | 72 | 160 |
6b8b15fda65791c8df661e8e899dda386fbb3084 | 7,020 | py | Python | iris_mt_scratch/sandbox/transfer_function/TSTFTarray.py | simpeg-research/iris-mt-scratch | ea458f253071db513fd0731118a2a7452a725944 | [
"MIT"
] | null | null | null | iris_mt_scratch/sandbox/transfer_function/TSTFTarray.py | simpeg-research/iris-mt-scratch | ea458f253071db513fd0731118a2a7452a725944 | [
"MIT"
] | 19 | 2020-12-23T17:55:48.000Z | 2021-06-24T21:01:05.000Z | iris_mt_scratch/sandbox/transfer_function/TSTFTarray.py | simpeg-research/iris-mt-scratch | ea458f253071db513fd0731118a2a7452a725944 | [
"MIT"
] | null | null | null | """
based on Gary's
TSTFTarray.m in
iris_mt_scratch/egbert_codes-20210121T193218Z-001/egbert_codes/matlabPrototype_10-13-20/TF/classes
"""
| 39.886364 | 98 | 0.595014 | """
based on Gary's
TSTFTarray.m in
iris_mt_scratch/egbert_codes-20210121T193218Z-001/egbert_codes/matlabPrototype_10-13-20/TF/classes
"""
def consistent_headers(header1, header2):
#do some checking
return True
class TSTFTArray(object):
"""
class to support creating FC arrays from STFT objects stored a... | 0 | 50 | 0 | 4,790 | 0 | 2,019 | 0 | 0 | 22 |
c1032138496fda4fcc37963907d13d4359b251b0 | 592 | py | Python | interview/leet/761_Special_Binary_String_v3.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2020-10-12T13:33:29.000Z | 2020-10-12T13:33:29.000Z | interview/leet/761_Special_Binary_String_v3.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | null | null | null | interview/leet/761_Special_Binary_String_v3.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2016-11-09T07:28:45.000Z | 2016-11-09T07:28:45.000Z | #!/usr/bin/env python3
S = "11100010"
S = "111000111100001100"
S = '1100'
S = '1010'
S = '10'
S = "11011000"
S = ''
sol = Solution()
print(sol.makeLargestSpecial(S))
| 22.769231 | 56 | 0.472973 | #!/usr/bin/env python3
class Solution:
def makeLargestSpecial(self, S: str) -> str:
self.ix, l = 0, len(S)
def dfs():
tokens = []
while self.ix < l:
c, self.ix = S[self.ix], self.ix+1
if c == '1':
tokens.append(f'1{dfs()}0'... | 0 | 0 | 0 | 402 | 0 | 0 | 0 | 0 | 23 |
723d25090796ff946b4dfe2d3bb084c00e10553b | 35,816 | py | Python | src/ase2sprkkr/common/grammar_types.py | ase2sprkkr/ase2sprkkr | 5e04f54365e4ab65d97bd11d573b078674548a59 | [
"MIT"
] | 1 | 2022-03-14T22:56:11.000Z | 2022-03-14T22:56:11.000Z | src/ase2sprkkr/common/grammar_types.py | ase2sprkkr/ase2sprkkr | 5e04f54365e4ab65d97bd11d573b078674548a59 | [
"MIT"
] | 1 | 2022-03-10T09:08:50.000Z | 2022-03-10T09:08:50.000Z | src/ase2sprkkr/common/grammar_types.py | ase2sprkkr/ase2sprkkr | 5e04f54365e4ab65d97bd11d573b078674548a59 | [
"MIT"
] | null | null | null | """
Classes, that represents various value types that can appear in the configuration and problem definitionfiles.
Each grammar type can both parse string containing a value of a given type, and to create the string containing a given value.
"""
import pyparsing as pp
import inspect
import numpy as np
from collectio... | 32.888889 | 156 | 0.646666 | """
Classes, that represents various value types that can appear in the configuration and problem definitionfiles.
Each grammar type can both parse string containing a value of a given type, and to create the string containing a given value.
"""
import pyparsing as pp
import io
import inspect
from pyparsing import W... | 0 | 1,471 | 240 | 27,091 | 0 | 0 | 0 | 190 | 706 |
0e64c3f77d066447da3d127e03adf7c1b2379aa7 | 933 | py | Python | hybrid_django_react/poetry_setup.py | lluc2397/hybrid-django-react | 2b64f524ed74be334f5e8da54048d7c604f773f0 | [
"MIT"
] | 4 | 2021-12-15T04:39:33.000Z | 2022-03-07T09:44:53.000Z | hybrid_django_react/poetry_setup.py | lluc2397/hybrid-django-react | 2b64f524ed74be334f5e8da54048d7c604f773f0 | [
"MIT"
] | 2 | 2022-01-19T14:55:34.000Z | 2022-02-01T17:48:12.000Z | hybrid_django_react/poetry_setup.py | lluc2397/hybrid-django-react | 2b64f524ed74be334f5e8da54048d7c604f773f0 | [
"MIT"
] | 2 | 2021-12-15T04:57:39.000Z | 2022-01-23T19:11:32.000Z | import os
def setup_poetry(config):
"""Entry point of module: setup poetry files and run poetry commands"""
update_pyproject_dot_toml(config)
#lock_poetry_dependencies()
#install_dependencies()
def lock_poetry_dependencies_on_docker():
"""Create poetry.lock file"""
os.system("doc... | 29.15625 | 76 | 0.6388 | import re
import os
def setup_poetry(config):
"""Entry point of module: setup poetry files and run poetry commands"""
update_pyproject_dot_toml(config)
#lock_poetry_dependencies()
#install_dependencies()
def lock_poetry_dependencies_on_docker():
"""Create poetry.lock file"""
os.... | 0 | 0 | 0 | 0 | 0 | 433 | 0 | -12 | 48 |
44d3b12b68786b1791977c1b8958791817f18bfa | 3,469 | py | Python | demo/sorting/visualize.py | Rufaim/graph_net_lib | 36ebf91af4115df356a3272299ed4f558d17b3b3 | [
"Apache-2.0"
] | null | null | null | demo/sorting/visualize.py | Rufaim/graph_net_lib | 36ebf91af4115df356a3272299ed4f558d17b3b3 | [
"Apache-2.0"
] | null | null | null | demo/sorting/visualize.py | Rufaim/graph_net_lib | 36ebf91af4115df356a3272299ed4f558d17b3b3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Rufaim (https://github.com/Rufaim)
#
# 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 ... | 34.009804 | 115 | 0.676564 | # Copyright 2021 Rufaim (https://github.com/Rufaim)
#
# 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 ... | 0 | 0 | 0 | 0 | 0 | 2,051 | 0 | 0 | 46 |
cbf70b1af4b0ab8fe62eb853c468bbe0475e4ca5 | 1,450 | py | Python | udf/bazaar/view/util/refresh-documents.py | stephen-v/deepdive-app-chinese | dfe1626fd9fad42169aca5cc85153336239eb6aa | [
"Apache-2.0"
] | 6 | 2018-10-27T03:02:03.000Z | 2021-07-15T07:42:03.000Z | udf/bazaar/view/util/refresh-documents.py | stephen-v/deepdive-app-chinese | dfe1626fd9fad42169aca5cc85153336239eb6aa | [
"Apache-2.0"
] | null | null | null | udf/bazaar/view/util/refresh-documents.py | stephen-v/deepdive-app-chinese | dfe1626fd9fad42169aca5cc85153336239eb6aa | [
"Apache-2.0"
] | 1 | 2019-10-01T14:32:49.000Z | 2019-10-01T14:32:49.000Z | #!/usr/bin/env python
ES_HOST = {"host" : "localhost", "port" : 9200}
INDEX_NAME = 'view'
TYPE_NAME = 'docs'
N = 1000
from pyhocon import ConfigFactory
from elasticsearch import Elasticsearch
conf = ConfigFactory.parse_file('../view.conf')
docs_conf = conf.get('view.docs')
es = Elasticsearch(hosts = [ES_HOST])
in... | 23.015873 | 80 | 0.547586 | #!/usr/bin/env python
import pipe
ES_HOST = {"host" : "localhost", "port" : 9200}
INDEX_NAME = 'view'
TYPE_NAME = 'docs'
N = 1000
from pyhocon import ConfigFactory
from elasticsearch import Elasticsearch
import json
import sys
conf = ConfigFactory.parse_file('../view.conf')
docs_conf = conf.get('view.docs')
es = ... | 0 | 0 | 0 | 0 | 0 | 1,060 | 0 | -31 | 90 |
5d426a552dd2b03b06476c8e56b7d8789bd45763 | 4,252 | py | Python | tests/fhir_tests/test_picklejar.py | dnstone/fhirtordf | 2ec2ac2ea66798a39fa0c3f27c9803f69e7710d1 | [
"Apache-2.0"
] | null | null | null | tests/fhir_tests/test_picklejar.py | dnstone/fhirtordf | 2ec2ac2ea66798a39fa0c3f27c9803f69e7710d1 | [
"Apache-2.0"
] | null | null | null | tests/fhir_tests/test_picklejar.py | dnstone/fhirtordf | 2ec2ac2ea66798a39fa0c3f27c9803f69e7710d1 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017, Mayo Clinic
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# Redistributions of source code must retain the above copyright notice, this
# list of conditions and the f... | 37.964286 | 99 | 0.676152 | # Copyright (c) 2017, Mayo Clinic
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# Redistributions of source code must retain the above copyright notice, this
# list of conditions and the f... | 0 | 248 | 0 | 2,204 | 0 | 0 | 0 | 73 | 114 |
37ba785d1dcf0efb21e6755298fd6ec36a75c92c | 1,614 | py | Python | src/image_attacks/im_main.py | tahleen-rahman/all2friends | 156ba257677def409661e8b68ccdfb1e896ba721 | [
"Apache-2.0"
] | null | null | null | src/image_attacks/im_main.py | tahleen-rahman/all2friends | 156ba257677def409661e8b68ccdfb1e896ba721 | [
"Apache-2.0"
] | 4 | 2021-06-08T21:47:39.000Z | 2022-03-12T00:35:39.000Z | src/image_attacks/im_main.py | tahleen-rahman/all2friends | 156ba257677def409661e8b68ccdfb1e896ba721 | [
"Apache-2.0"
] | null | null | null | # Created by rahman at 15:20 2020-03-05 using PyCharm
import subprocess
from image_attacks.im_utils import slice_files, combine_files, clean_trim, count_cats, make_features_counts, score
from shared_tools.utils import make_allPairs, classifiers, DATAPATH, city
def attack_images(cores, prob_cutoff):
"""
:p... | 25.619048 | 153 | 0.7057 | # Created by rahman at 15:20 2020-03-05 using PyCharm
import subprocess
from image_attacks.im_utils import slice_files, combine_files, clean_trim, count_cats, make_features_counts, score
from shared_tools.utils import make_allPairs, classifiers, DATAPATH, city
def attack_images(cores, prob_cutoff):
"""
:p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0ffc5834a2b713e166cfe5b56e3fdb43410997d9 | 570 | py | Python | Exercicios Python/ex028.py | ClaudioSiqueira/Exercicios-Python | 128387769b34b7d42aee5c1effda16de21216e10 | [
"MIT"
] | null | null | null | Exercicios Python/ex028.py | ClaudioSiqueira/Exercicios-Python | 128387769b34b7d42aee5c1effda16de21216e10 | [
"MIT"
] | null | null | null | Exercicios Python/ex028.py | ClaudioSiqueira/Exercicios-Python | 128387769b34b7d42aee5c1effda16de21216e10 | [
"MIT"
] | null | null | null | from random import randint
from time import sleep
computador = randint(1, 5)
print('\033[34m-==-\033[m'*17)
print('Vamos jogar um jogo, tente adivinhar o nmero que estou pensando !')
sleep(1)
jogador = int(input('Chute um valor de 1 at 5: '))
print('PROCESSANDO...')
sleep(1)
if jogador == computador:
print('\033[1... | 35.625 | 118 | 0.7 | from random import randint
from time import sleep
computador = randint(1, 5)
print('\033[34m-==-\033[m'*17)
print('Vamos jogar um jogo, tente adivinhar o número que estou pensando !')
sleep(1)
jogador = int(input('Chute um valor de 1 até 5: '))
print('PROCESSANDO...')
sleep(1)
if jogador == computador:
print('\033... | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9fb59721e031ca2d2ad94260365575fbf0c263fc | 69 | py | Python | tests/data/config/i_child.py | jinliwei1997/mmcv | f8d46df4a9fa32fb44d2e92a4ca5e7b26ee9cb79 | [
"Apache-2.0"
] | 3,748 | 2018-10-12T08:39:46.000Z | 2022-03-31T17:22:55.000Z | tests/data/config/i_child.py | jinliwei1997/mmcv | f8d46df4a9fa32fb44d2e92a4ca5e7b26ee9cb79 | [
"Apache-2.0"
] | 1,637 | 2018-10-12T06:06:18.000Z | 2022-03-31T02:20:53.000Z | tests/data/config/i_child.py | jinliwei1997/mmcv | f8d46df4a9fa32fb44d2e92a4ca5e7b26ee9cb79 | [
"Apache-2.0"
] | 1,234 | 2018-10-12T09:28:20.000Z | 2022-03-31T15:56:24.000Z | _base_ = './i_base.py'
item_cfg = {'b': 2}
item6 = {'cfg': item_cfg}
| 17.25 | 25 | 0.57971 | _base_ = './i_base.py'
item_cfg = {'b': 2}
item6 = {'cfg': item_cfg}
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c5740ab7ab678719ba6d2355a1a59e6f3c6dc3bc | 17,820 | py | Python | python/oneflow/nn/graph/graph.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | null | null | null | python/oneflow/nn/graph/graph.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | null | null | null | python/oneflow/nn/graph/graph.py | wangyuyue/oneflow | 0a71c22fe8355392acc8dc0e301589faee4c4832 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 36.367347 | 107 | 0.565825 | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 0 | 340 | 0 | 15,894 | 0 | 0 | 0 | 485 | 398 |
8a7c3ef46588513a00763c8fbd4bb9d87d5bd15a | 848 | py | Python | src/decoding/bin/decodePixelBased.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | src/decoding/bin/decodePixelBased.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | src/decoding/bin/decodePixelBased.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | import sys
import re
from modules.pixelBasedDecoding import decodePixelBased
# Input parsing:
# needs to know up front how large the image is going to be
x_dim = int(sys.argv[1])
y_dim = int(sys.argv[2])
# Extract tile nr
tile_nr = sys.argv[3]
tile_nr_int = int(re.findall(r"\d+", tile_nr)[0])
codebook = sys.argv[... | 27.354839 | 101 | 0.746462 | import sys
import csv
import re
from modules.pixelBasedDecoding import decodePixelBased
# Input parsing:
# needs to know up front how large the image is going to be
x_dim = int(sys.argv[1])
y_dim = int(sys.argv[2])
# Extract tile nr
tile_nr = sys.argv[3]
tile_nr_int = int(re.findall(r"\d+", tile_nr)[0])
codebook ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 22 |
cdbef3b5da47b0cf0e8e70e5d63b840baa5fdd6c | 1,112 | py | Python | book_club/book_club/book/migrations/0001_initial.py | Beshkov/Python-web-fundamentals | 6b0e9cc9725ea80a33c2ebde6e29f2ab585ab8d9 | [
"MIT"
] | null | null | null | book_club/book_club/book/migrations/0001_initial.py | Beshkov/Python-web-fundamentals | 6b0e9cc9725ea80a33c2ebde6e29f2ab585ab8d9 | [
"MIT"
] | null | null | null | book_club/book_club/book/migrations/0001_initial.py | Beshkov/Python-web-fundamentals | 6b0e9cc9725ea80a33c2ebde6e29f2ab585ab8d9 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.6 on 2021-08-08 21:52
| 38.344828 | 161 | 0.560252 | # Generated by Django 3.2.6 on 2021-08-08 21:52
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Book',
fields=[
('id', models.BigAutoField(... | 0 | 0 | 0 | 998 | 0 | 0 | 0 | 19 | 46 |
1bb4c5017f9be7bdefa32170d540c123ac7888b3 | 1,209 | py | Python | neural_heap/dataset/io_synthesis/io_synthesis.py | brandontrabucco/neural-heap | 57a4823370c8e6b6c38562ebf3ca11489441a94b | [
"MIT"
] | null | null | null | neural_heap/dataset/io_synthesis/io_synthesis.py | brandontrabucco/neural-heap | 57a4823370c8e6b6c38562ebf3ca11489441a94b | [
"MIT"
] | null | null | null | neural_heap/dataset/io_synthesis/io_synthesis.py | brandontrabucco/neural-heap | 57a4823370c8e6b6c38562ebf3ca11489441a94b | [
"MIT"
] | null | null | null | import os
os.chdir("G:\\My Drive\\Academic\\Research\\Neural Heap")
| 30.225 | 81 | 0.594706 | import os, sys
os.chdir("G:\\My Drive\\Academic\\Research\\Neural Heap")
from neural_heap.dataset.io_synthesis.io_synthesis_args import IOSynthesisArgs
from neural_heap.dataset.io_synthesis.io_synthesis_utils import IOSynthesisUtils
class IOSynthesis(object):
def __init__(
self,
p... | 0 | 0 | 0 | 939 | 0 | 0 | 0 | 121 | 71 |
4f28caf061d0d3e8e16222acca82b34d0343937c | 2,589 | py | Python | SilverBash/Adam_Teal_Bash/algod_app.py | preciousM494/TEAL | 7c4b6ee8b50842c568db5c984b7896219304a71a | [
"Apache-2.0"
] | 3 | 2022-01-20T14:08:29.000Z | 2022-01-30T11:08:09.000Z | SilverBash/Adam_Teal_Bash/algod_app.py | preciousM494/TEAL | 7c4b6ee8b50842c568db5c984b7896219304a71a | [
"Apache-2.0"
] | 7 | 2022-01-09T03:14:46.000Z | 2022-01-27T22:51:51.000Z | SilverBash/Adam_Teal_Bash/algod_app.py | preciousM494/TEAL | 7c4b6ee8b50842c568db5c984b7896219304a71a | [
"Apache-2.0"
] | 26 | 2022-01-09T02:48:42.000Z | 2022-01-26T15:02:51.000Z |
# from deploy import PytealDeploy
algod_token = 'B3SU4KcVKi94Jap2VXkK83xx38bsv95K5UZm2lab'
algod_addres = "http://testnet-algorand.api.purestake.io/ps2"
purestack_token = {
"X-Api-Key": algod_token
}
tmpl_fee = Int(1000)
tmpl_period = Int(50)
tmpl_dur = Int(5000)
tmpl_lease = Bytes("base64", "023sd... | 30.821429 | 110 | 0.65392 | from pyteal import *
from algosdk.v2client import algod
from algosdk import account, mnemonic
import pyteal
# from deploy import PytealDeploy
algod_token = 'B3SU4KcVKi94Jap2VXkK83xx38bsv95K5UZm2lab'
algod_addres = "http://testnet-algorand.api.purestake.io/ps2"
purestack_token = {
"X-Api-Key": algod_to... | 0 | 0 | 0 | 0 | 0 | 1,963 | 0 | 20 | 141 |
a8494f2b5e36e61c41ba5193984ac5e32316d1a8 | 8,056 | py | Python | murano_tempest_tests/tests/api/application_catalog/test_repository.py | zhur0ng/murano-tempest-plugin | c70cda4dc7b8208252e9741a96acba9fb6a5c6e9 | [
"Apache-2.0"
] | 6 | 2017-10-31T10:37:17.000Z | 2019-01-28T22:05:05.000Z | murano_tempest_tests/tests/api/application_catalog/test_repository.py | zhur0ng/murano-tempest-plugin | c70cda4dc7b8208252e9741a96acba9fb6a5c6e9 | [
"Apache-2.0"
] | 1 | 2018-08-20T07:39:23.000Z | 2018-08-20T07:39:23.000Z | murano_tempest_tests/tests/api/application_catalog/test_repository.py | zhur0ng/murano-tempest-plugin | c70cda4dc7b8208252e9741a96acba9fb6a5c6e9 | [
"Apache-2.0"
] | 2 | 2018-01-11T05:08:35.000Z | 2018-08-20T07:32:33.000Z | # Copyright (c) 2016 Mirantis, 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... | 36.288288 | 78 | 0.617925 | # Copyright (c) 2016 Mirantis, 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... | 0 | 6,811 | 0 | 85 | 0 | 0 | 0 | 64 | 433 |
ad1df4e9b490e6ef1278f8134c76f77a5ef9f80f | 1,210 | py | Python | setup.py | chaselgrove/hypothesis | 07a9c436208ec62b6d8b33c1cb4305a67baff8c6 | [
"BSD-2-Clause"
] | 6 | 2018-11-11T02:10:56.000Z | 2022-02-07T10:21:25.000Z | setup.py | chaselgrove/hypothesis | 07a9c436208ec62b6d8b33c1cb4305a67baff8c6 | [
"BSD-2-Clause"
] | 2 | 2018-08-10T02:32:29.000Z | 2018-08-21T15:34:13.000Z | setup.py | chaselgrove/hypothesis | 07a9c436208ec62b6d8b33c1cb4305a67baff8c6 | [
"BSD-2-Clause"
] | 2 | 2018-07-24T03:31:32.000Z | 2018-08-10T02:59:09.000Z | #!/usr/bin/python
# See file COPYING distributed with python-hypothesis for copyright and
# license.
from setuptools import setup
long_description = open('README.rst').read()
setup(name='python-hypothesis',
version='0.4.2',
description='Python library for the Hypothes.is API',
author='Christia... | 34.571429 | 72 | 0.563636 | #!/usr/bin/python
# See file COPYING distributed with python-hypothesis for copyright and
# license.
from setuptools import setup
long_description = open('README.rst').read()
setup(name='python-hypothesis',
version='0.4.2',
description='Python library for the Hypothes.is API',
author='Christia... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
513206d0eb2312c92c22e659d7d284bcc14bff04 | 481 | py | Python | showminder/frontend/migrations/0008_auto_20180422_1431.py | chassing/showminder | 136ef3f1a41fa3aa45574770dd5751b0b7b9edd3 | [
"MIT"
] | 1 | 2017-01-26T09:12:55.000Z | 2017-01-26T09:12:55.000Z | showminder/frontend/migrations/0008_auto_20180422_1431.py | chassing/showminder | 136ef3f1a41fa3aa45574770dd5751b0b7b9edd3 | [
"MIT"
] | null | null | null | showminder/frontend/migrations/0008_auto_20180422_1431.py | chassing/showminder | 136ef3f1a41fa3aa45574770dd5751b0b7b9edd3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2018-04-22 14:31
from __future__ import unicode_literals
| 22.904762 | 74 | 0.627859 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2018-04-22 14:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('frontend', '0007_auto_20170505_1441'),
]
operations = [
migrations.AlterFie... | 0 | 0 | 0 | 302 | 0 | 0 | 0 | 19 | 46 |
4c494c9bae4f69ee732530ae8c366dc42ff79e88 | 2,028 | py | Python | python/oneflow/framework/docstr/index_select.py | felixhao28/oneflow | e558af6ef6c4ed90e4abc7bc1ba895f55795626d | [
"Apache-2.0"
] | null | null | null | python/oneflow/framework/docstr/index_select.py | felixhao28/oneflow | e558af6ef6c4ed90e4abc7bc1ba895f55795626d | [
"Apache-2.0"
] | null | null | null | python/oneflow/framework/docstr/index_select.py | felixhao28/oneflow | e558af6ef6c4ed90e4abc7bc1ba895f55795626d | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 34.372881 | 129 | 0.649408 | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |