hexsha stringlengths 40 40 | size int64 6 1.04M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 247 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 368k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 247 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 247 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.04M | avg_line_length float64 1.53 618k | max_line_length int64 1 1.02M | alphanum_fraction float64 0 1 | original_content stringlengths 6 1.04M | filtered:remove_non_ascii int64 0 538k | filtered:remove_decorators int64 0 917k | filtered:remove_async int64 0 722k | filtered:remove_classes int64 -45 1M | filtered:remove_generators int64 0 814k | filtered:remove_function_no_docstring int64 -102 850k | filtered:remove_class_no_docstring int64 -3 5.46k | filtered:remove_unused_imports int64 -1,350 52.4k | filtered:remove_delete_markers int64 0 59.6k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
45f6e0cdfb3d2b0b20d8ce80caa54171ae3cfc46 | 195 | py | Python | tableau_rest_api/methods/metrics.py | Radabaugh/tableau_tools | 8630ec4c5614ace8b08246f83dc80c330a8045b4 | [
"MIT"
] | 179 | 2016-07-06T19:34:39.000Z | 2021-03-16T02:30:27.000Z | tableau_rest_api/methods/metrics.py | Radabaugh/tableau_tools | 8630ec4c5614ace8b08246f83dc80c330a8045b4 | [
"MIT"
] | 75 | 2016-07-28T16:17:44.000Z | 2021-03-29T12:22:32.000Z | tableau_rest_api/methods/metrics.py | chip-felton-montage/tableau_tools | 60881a99a32c7d9e03afbb0e1161deefaa854904 | [
"MIT"
] | 83 | 2016-08-25T10:32:26.000Z | 2021-02-17T18:31:14.000Z |
# First Metrics Methods appear in API 3.9
| 21.666667 | 60 | 0.74359 | from .rest_api_base import *
# First Metrics Methods appear in API 3.9
class MetricsMethods39():
def __init__(self, rest_api_base: TableauRestApiBase38):
self.rest = rest_api_base
| 0 | 0 | 0 | 99 | 0 | 0 | 0 | 7 | 44 |
916322b1e03ef17f05188b14b907317d24dead00 | 216 | py | Python | src/year2021/day16b.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 10 | 2017-12-11T17:54:52.000Z | 2021-12-09T20:16:30.000Z | src/year2021/day16b.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | 260 | 2015-12-09T11:03:03.000Z | 2021-12-12T14:32:23.000Z | src/year2021/day16b.py | lancelote/advent_of_code | 06dda6ca034bc1e86addee7798bb9b2a34ff565b | [
"Unlicense"
] | null | null | null | """2021 - Day 16 Part 2: Packet Decoder."""
| 24 | 43 | 0.689815 | """2021 - Day 16 Part 2: Packet Decoder."""
from src.year2021.day16a import BITS
def solve(task: str) -> int:
system = BITS.from_hex(task)
top_packet = system.read_packet()
return top_packet.evaluate()
| 0 | 0 | 0 | 0 | 0 | 111 | 0 | 15 | 45 |
e8017922857077673165e16e7b2111a57d751eea | 93 | py | Python | Chapter 05/Praktikum-2/1-n.py | icaksh/Python-Projects-Protek | dfd56ea5afc637a8850911a9296131652de383c5 | [
"MIT"
] | null | null | null | Chapter 05/Praktikum-2/1-n.py | icaksh/Python-Projects-Protek | dfd56ea5afc637a8850911a9296131652de383c5 | [
"MIT"
] | null | null | null | Chapter 05/Praktikum-2/1-n.py | icaksh/Python-Projects-Protek | dfd56ea5afc637a8850911a9296131652de383c5 | [
"MIT"
] | null | null | null | banyakPerulangan = 10
i = 0
while (i < banyakPerulangan):
print('Hello World')
i += 1 | 18.6 | 29 | 0.634409 | banyakPerulangan = 10
i = 0
while (i < banyakPerulangan):
print('Hello World')
i += 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4e3ce9f763c7ac23b63142ca0b09def2613ab552 | 3,644 | py | Python | exam_organization/models.py | andaeh/django-exam-organization-tool | fd269402cb74e4028f3aa65978da5a47e4d2f7ae | [
"Apache-2.0"
] | null | null | null | exam_organization/models.py | andaeh/django-exam-organization-tool | fd269402cb74e4028f3aa65978da5a47e4d2f7ae | [
"Apache-2.0"
] | 2 | 2021-09-11T13:42:08.000Z | 2022-03-12T01:01:37.000Z | exam_organization/models.py | andaeh/django-exam-organization-tool | fd269402cb74e4028f3aa65978da5a47e4d2f7ae | [
"Apache-2.0"
] | null | null | null | # Create your models here.
| 32.828829 | 156 | 0.693743 | import os
from django.db import models
from django.contrib.auth.models import User
from django.urls import reverse
from django.dispatch import receiver
from django.db.models.signals import post_delete, post_save
from django.conf import settings
from django.core.validators import int_list_validator
from taggit.manager... | 2 | 756 | 0 | 2,371 | 0 | 0 | 0 | 145 | 338 |
ccc8ecdd8c0db0c16f54d60be75aad92f2e60bc2 | 375 | py | Python | modulector/migrations/0010_auto_20201022_0445.py | omics-datascience/modulector | 357d8f6f8eab5d04b2357a08d177d75cbdad001a | [
"MIT"
] | 2 | 2021-07-10T20:45:58.000Z | 2021-08-18T02:24:58.000Z | modulector/migrations/0010_auto_20201022_0445.py | omics-datascience/modulector | 357d8f6f8eab5d04b2357a08d177d75cbdad001a | [
"MIT"
] | 3 | 2021-11-07T23:18:58.000Z | 2021-11-22T23:17:35.000Z | modulector/migrations/0010_auto_20201022_0445.py | omics-datascience/modulector | 357d8f6f8eab5d04b2357a08d177d75cbdad001a | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-10-22 04:45
| 19.736842 | 50 | 0.597333 | # Generated by Django 3.0.8 on 2020-10-22 04:45
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('modulector', '0009_mirnadrugs_support'),
]
operations = [
migrations.RenameField(
model_name='mirnadrugs',
old_name='mirna',... | 0 | 0 | 0 | 269 | 0 | 0 | 0 | 11 | 46 |
5412a958b9304c6f8be80eb4facd2bfcfa635905 | 648 | py | Python | utils/train.py | csyhhu/attention-is-all-you-need-pytorch | 5792c9714295b1a33d1ca074206ec223f436b954 | [
"MIT"
] | 1 | 2020-10-01T23:57:16.000Z | 2020-10-01T23:57:16.000Z | utils/train.py | csyhhu/attention-is-all-you-need-pytorch | 5792c9714295b1a33d1ca074206ec223f436b954 | [
"MIT"
] | null | null | null | utils/train.py | csyhhu/attention-is-all-you-need-pytorch | 5792c9714295b1a33d1ca074206ec223f436b954 | [
"MIT"
] | null | null | null | import torch.nn as nn | 21.6 | 65 | 0.589506 | import torch
import torch.nn as nn
from utils.miscellaneous import progress_bar
def evaluate(model, iterator, criterion):
model.eval()
epoch_loss = 0
with torch.no_grad():
for batch_idx, batch in enumerate(iterator):
src = batch.src
trg = batch.trg
output ... | 0 | 0 | 0 | 0 | 0 | 545 | 0 | 14 | 68 |
acc7052fa3ee7bfdc9aa6aafe4fb59c11afa86c5 | 533 | py | Python | NoteBooks/Curso de Python/Python/Data_Managment/Compresion de archivos/Formato_bz2.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | 1 | 2021-02-26T13:12:22.000Z | 2021-02-26T13:12:22.000Z | NoteBooks/Curso de Python/Python/Data_Managment/Compresion de archivos/Formato_bz2.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | null | null | null | NoteBooks/Curso de Python/Python/Data_Managment/Compresion de archivos/Formato_bz2.py | Alejandro-sin/Learning_Notebooks | 161d6bed4c7b1d171b45f61c0cc6fa91e9894aad | [
"MIT"
] | null | null | null | '''
Es un motod de compresin muy sencillo.
Bonzip
'''
import bz2
#Cadena binaria
cadena = b'Este es eun ejemplo del formato de compresion Bonzip, sirve para comprimir TODO.'
cadena_comprimida = bz2.compress(cadena)
print(cadena_comprimida)#b"BZh91AY&SY\xbf\xb8:\xfa\x00\x00\x06\x15\x80@\x04\x08\x00.\xa3\xde@ \x00H... | 26.65 | 246 | 0.752345 | '''
Es un méotod de compresión muy sencillo.
Bonzip
'''
import bz2
#Cadena binaria
cadena = b'Este es eun ejemplo del formato de compresion Bonzip, sirve para comprimir TODO.'
cadena_comprimida = bz2.compress(cadena)
print(cadena_comprimida)#b"BZh91AY&SY\xbf\xb8:\xfa\x00\x00\x06\x15\x80@\x04\x08\x00.\xa3\xde@ \x0... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2bc8856b29271b763a0ca748604553dbd4283306 | 10,681 | py | Python | test/unit/spiderfoot/test_spiderfootplugin.py | khiemtq-cyber/spiderfoot | 66e671918853b0334931fd2fbabad0096d506726 | [
"MIT"
] | null | null | null | test/unit/spiderfoot/test_spiderfootplugin.py | khiemtq-cyber/spiderfoot | 66e671918853b0334931fd2fbabad0096d506726 | [
"MIT"
] | null | null | null | test/unit/spiderfoot/test_spiderfootplugin.py | khiemtq-cyber/spiderfoot | 66e671918853b0334931fd2fbabad0096d506726 | [
"MIT"
] | null | null | null | # test_spiderfootplugin.py
| 28.712366 | 107 | 0.614175 | # test_spiderfootplugin.py
import pytest
import unittest
from sflib import SpiderFoot
from spiderfoot import SpiderFootDb, SpiderFootEvent, SpiderFootPlugin, SpiderFootTarget
@pytest.mark.usefixtures
class TestSpiderFootPlugin(unittest.TestCase):
"""
Test SpiderFoot
"""
def test_init(self):
... | 0 | 10,481 | 0 | 0 | 0 | 0 | 0 | 60 | 112 |
7c20b7d1b3b1ead52022d57946dc953d553868a4 | 4,989 | py | Python | pytorch_lightning/utilities/seed.py | GabrielePicco/pytorch-lightning | 0d6dfd42d8965347a258e3d20e83bddd344e718f | [
"Apache-2.0"
] | 1 | 2022-01-08T14:06:36.000Z | 2022-01-08T14:06:36.000Z | pytorch_lightning/utilities/seed.py | GabrielePicco/pytorch-lightning | 0d6dfd42d8965347a258e3d20e83bddd344e718f | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/utilities/seed.py | GabrielePicco/pytorch-lightning | 0d6dfd42d8965347a258e3d20e83bddd344e718f | [
"Apache-2.0"
] | 1 | 2022-01-08T14:06:27.000Z | 2022-01-08T14:06:27.000Z | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 42.279661 | 119 | 0.719583 | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 0 | 0 | 0 | 0 | 0 | 122 | 0 | 0 | 23 |
97928beddf03c0eb483c6b3faad2fde0285120b9 | 4,790 | py | Python | src/experiments/train_common.py | prakashchhipa/Depth-Contrast-Self-Supervised-Method | c68f2ea85063be3a63216985fbe806621174889b | [
"Apache-2.0"
] | null | null | null | src/experiments/train_common.py | prakashchhipa/Depth-Contrast-Self-Supervised-Method | c68f2ea85063be3a63216985fbe806621174889b | [
"Apache-2.0"
] | null | null | null | src/experiments/train_common.py | prakashchhipa/Depth-Contrast-Self-Supervised-Method | c68f2ea85063be3a63216985fbe806621174889b | [
"Apache-2.0"
] | null | null | null | import argparse
import sys, os
import torch.nn as nn
sys.path.append(os.path.dirname(__file__))
sys.path.append(os.path.dirname(__file__))
if __name__ == "__main__":
train()
| 41.293103 | 320 | 0.746764 | from distutils.log import error
import errno
import numpy as np
import json
import argparse
import time
from tqdm import tqdm
import cv2
import logging
import sys, os
import torch
import torchvision
import torch.nn as nn
from torch import optim
from torch.utils.data import DataLoader
from torch.utils.tensorboard impor... | 0 | 0 | 0 | 0 | 0 | 3,970 | 0 | 106 | 532 |
2b8daba4bc8dba84de9f41bfcd785d9de888127b | 344 | py | Python | immobilien/admin.py | sahin88/Django_Rest_Framework_Redux_React_Estate_App_FullStack | 10e31c4071bcebc0e4401f42084211d170b2ea56 | [
"Unlicense"
] | null | null | null | immobilien/admin.py | sahin88/Django_Rest_Framework_Redux_React_Estate_App_FullStack | 10e31c4071bcebc0e4401f42084211d170b2ea56 | [
"Unlicense"
] | null | null | null | immobilien/admin.py | sahin88/Django_Rest_Framework_Redux_React_Estate_App_FullStack | 10e31c4071bcebc0e4401f42084211d170b2ea56 | [
"Unlicense"
] | null | null | null | from django.contrib import admin
from .models import immobilien
admin.site.register(immobilien, immobilienAdmin)
# Register your models here.
| 21.5 | 61 | 0.718023 | from django.contrib import admin
from .models import immobilien
class immobilienAdmin(admin.ModelAdmin):
list_display = ('id', 'name', 'date_joined', 'topseller')
list_display_links = ('id', 'name')
search_fields = ('name',)
list_per_page = 24
admin.site.register(immobilien, immobilienAdmin)
# Reg... | 0 | 0 | 0 | 175 | 0 | 0 | 0 | 0 | 23 |
2feb18d20046f1329505a5aa39be610306b9d37c | 1,339 | py | Python | nova/compute/opts.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/compute/opts.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/compute/opts.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may not'
nl|'\n'
comment|'# use this file except in compliance with the License. You may obtain a copy'
nl|'\n'
comment|'# of the License at'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# http://www.apache.org/licenses/LICENSE-2.0'
nl|'\... | 17.166667 | 87 | 0.655713 | begin_unit
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may not'
nl|'\n'
comment|'# use this file except in compliance with the License. You may obtain a copy'
nl|'\n'
comment|'# of the License at'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# http://www.apache.org/licenses/LICENSE-2.0'
nl|'\... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e003d37ef95a2f23468b50954b5d783dca79c69a | 7,620 | py | Python | scratch/rowe_model_opt3.py | Lefebvrelab/SpectralNeuralModels | 35d34095f573713ea8beb061f0ec13929ce579e9 | [
"MIT"
] | null | null | null | scratch/rowe_model_opt3.py | Lefebvrelab/SpectralNeuralModels | 35d34095f573713ea8beb061f0ec13929ce579e9 | [
"MIT"
] | 8 | 2018-05-03T16:09:01.000Z | 2019-04-20T18:44:46.000Z | scratch/rowe_model_opt3.py | Lefebvrelab/SpectralNeuralModels | 35d34095f573713ea8beb061f0ec13929ce579e9 | [
"MIT"
] | null | null | null | from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
if __name__ == '__main__':
task = 'optimize'
if task == 'optimize':
# Get training data
text_file = np.loadtxt('EEG_data.csv', skiprows=1, delimiter=',')
freqs = text_file[1:,0]
... | 28.973384 | 89 | 0.465354 | from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
from numpy import pi,abs,exp,log,log10
from scipy import optimize
class Rowe2015Model():
def __init__(self):
# Constants
self.gamma_e = 116 # s^-1
self.r_e = 86 # mm
self.Q_... | 0 | 0 | 0 | 6,039 | 0 | 0 | 0 | 22 | 115 |
d3530afd4b1ee97d2fb3a9b0e9d548a215b5bb8c | 1,384 | py | Python | src/graph_visualize.py | sawyerWeld/PrefGAN | 295a165947fc300b2dd0754607076c780fbcafa1 | [
"MIT"
] | null | null | null | src/graph_visualize.py | sawyerWeld/PrefGAN | 295a165947fc300b2dd0754607076c780fbcafa1 | [
"MIT"
] | null | null | null | src/graph_visualize.py | sawyerWeld/PrefGAN | 295a165947fc300b2dd0754607076c780fbcafa1 | [
"MIT"
] | null | null | null | #graph_visualize.py
# Given a vector of the form generated in pairwise.py for
# easy reading into NNs, produce a diagram of the represented graph
| 32.952381 | 81 | 0.609827 | #graph_visualize.py
from graphviz import Digraph
import pairwise
# Given a vector of the form generated in pairwise.py for
# easy reading into NNs, produce a diagram of the represented graph
def vec_to_graph(vec, name='no_name_graph', save=False, fromTorch=True):
matrix = None
if fromTorch:
matrix = ... | 0 | 0 | 0 | 0 | 0 | 1,145 | 0 | 1 | 90 |
cedaee8ae0d46d7b6db7e6e560962ac51696012d | 2,076 | py | Python | 7/challenge2.py | roryeiffe/Adent-of-Code | 80f123663fcf04bf5f0d6733807b4a2dd53bc68c | [
"MIT"
] | null | null | null | 7/challenge2.py | roryeiffe/Adent-of-Code | 80f123663fcf04bf5f0d6733807b4a2dd53bc68c | [
"MIT"
] | null | null | null | 7/challenge2.py | roryeiffe/Adent-of-Code | 80f123663fcf04bf5f0d6733807b4a2dd53bc68c | [
"MIT"
] | null | null | null | import sys
# recursive search through bag dictionary:
# given a bag string, return only the name of the bag:
# ex: 1 light blue returns light blue
# given a bag string, return the quantity:
# ex: 1 light blue returns 1
f = open(sys.argv[1],"r")
L = []
for item in f:
L.append(item.strip())
# dictionary where key i... | 29.239437 | 77 | 0.69316 | import sys
# recursive search through bag dictionary:
def search(bag_contains, current):
children = bag_contains[get_bag(current)]
# base cases
# if this bag does not contain any other bags:
# each level is how many bags are in this current bag (including children)
# base case: since there are no children, we ar... | 0 | 0 | 0 | 0 | 0 | 877 | 0 | 0 | 66 |
1bdbba7f4e63c6bef0d5a716b758d10956003075 | 326 | py | Python | samples/WebApplication/OneUserScenario.py | jproudlo/PyModel | 2ab0e2cf821807206725adaa425409b0c28929b7 | [
"BSD-3-Clause"
] | 61 | 2015-01-29T16:18:51.000Z | 2021-09-28T10:14:02.000Z | samples/WebApplication/OneUserScenario.py | vikstr/PyModel | 4fff616fe0fd8342c91a42d9db5d4097a179dff8 | [
"BSD-3-Clause"
] | 2 | 2015-02-04T11:57:53.000Z | 2021-07-18T20:59:55.000Z | samples/WebApplication/OneUserScenario.py | vikstr/PyModel | 4fff616fe0fd8342c91a42d9db5d4097a179dff8 | [
"BSD-3-Clause"
] | 34 | 2015-02-04T12:00:29.000Z | 2022-03-14T07:41:25.000Z | "One user repeatedly logs in, logs out. Allow interleaving with other actions"
from WebModel import Login, Logout
actions = (Login, Logout) # just these to allow interleaving
initial = 0
accepting = (0,)
graph = ((0, (Login, ( 'VinniPuhh', 'Correct' ), 'Success'), 1),
(1, (Logout, ( 'VinniPuhh', ), None),... | 25.076923 | 79 | 0.650307 | "One user repeatedly logs in, logs out. Allow interleaving with other actions"
from WebModel import Login, Logout
actions = (Login, Logout) # just these to allow interleaving
initial = 0
accepting = (0,)
graph = ((0, (Login, ( 'VinniPuhh', 'Correct' ), 'Success'), 1),
(1, (Logout, ( 'VinniPuhh', ), None),... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c9884ea394c7fd5bab4fbd1dc9bebd53080457b | 4,264 | py | Python | FaceSwap/zad2.py | i-khan/FaceSwap | e9f5b0a95af7ba62ce6978a5c7a4511086948a82 | [
"MIT"
] | null | null | null | FaceSwap/zad2.py | i-khan/FaceSwap | e9f5b0a95af7ba62ce6978a5c7a4511086948a82 | [
"MIT"
] | null | null | null | FaceSwap/zad2.py | i-khan/FaceSwap | e9f5b0a95af7ba62ce6978a5c7a4511086948a82 | [
"MIT"
] | null | null | null | import dlib
import cv2
import numpy as np
import sys
import models
import NonLinearLeastSquares
import ImageProcessing
import FaceRendering
import utils
import os
import subprocess
print "Press T to draw the keypoints and the 3D model"
print "Press R to start recording to a video file"
#you need to download shape_... | 36.135593 | 214 | 0.692542 | import dlib
import cv2
import numpy as np
import sys
import models
import NonLinearLeastSquares
import ImageProcessing
from drawing import *
import FaceRendering
import utils
import os
import subprocess
print "Press T to draw the keypoints and the 3D model"
print "Press R to start recording to a video file"
#you ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
29895e9f595bd0e2bfb7657a094cd535ad76784c | 586 | py | Python | Desafios/Desafio98.py | Felix-xilef/Curso-de-Python | cdff7c7f3850e6326e274c8c1987b9e1a18ce910 | [
"MIT"
] | null | null | null | Desafios/Desafio98.py | Felix-xilef/Curso-de-Python | cdff7c7f3850e6326e274c8c1987b9e1a18ce910 | [
"MIT"
] | null | null | null | Desafios/Desafio98.py | Felix-xilef/Curso-de-Python | cdff7c7f3850e6326e274c8c1987b9e1a18ce910 | [
"MIT"
] | null | null | null | from auxiliar import receberInt
# main
contador(1, 10, 1)
contador(10, 0, 2)
contador(receberInt('Digite o inicio: '), receberInt('Digite o fim: '), receberInt('Digite o passo: '))
input('\n\nPressione <enter> para continuar')
| 23.44 | 103 | 0.583618 | from auxiliar import receberInt
from time import sleep
def contador(inicio, fim, passo):
print('-'*30)
print(f'Contagem de {inicio} até {fim} de {passo} em {passo}')
if inicio > fim:
passo *= -1
fim -= 1
else:
fim += 1
for i in range(inicio, fim, passo):
sleep(0.5)
... | 2 | 0 | 0 | 0 | 0 | 309 | 0 | 1 | 45 |
31311b055c16c8db5e97123b97dbdb3720180513 | 368 | py | Python | blog/migrations/0030_auto_20190705_1244.py | Labbit-kw/hologram-project | 708b773e932f6ad0f92d1d9e2e57cfbd8b17b933 | [
"MIT"
] | null | null | null | blog/migrations/0030_auto_20190705_1244.py | Labbit-kw/hologram-project | 708b773e932f6ad0f92d1d9e2e57cfbd8b17b933 | [
"MIT"
] | null | null | null | blog/migrations/0030_auto_20190705_1244.py | Labbit-kw/hologram-project | 708b773e932f6ad0f92d1d9e2e57cfbd8b17b933 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.2 on 2019-07-05 12:44
| 19.368421 | 47 | 0.589674 | # Generated by Django 2.2.2 on 2019-07-05 12:44
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0029_auto_20190705_1240'),
]
operations = [
migrations.RenameField(
model_name='uploadboard',
old_name='file_title',... | 0 | 0 | 0 | 262 | 0 | 0 | 0 | 11 | 46 |
b84078c4cb83dfb19f774e9116faa6561ca0090b | 15,948 | py | Python | alphapept/matching.py | PatrickvanZalm/alphapept | 58dbe8b75c1a5384f970893c7cc9b7c929a1cfe2 | [
"Apache-2.0"
] | null | null | null | alphapept/matching.py | PatrickvanZalm/alphapept | 58dbe8b75c1a5384f970893c7cc9b7c929a1cfe2 | [
"Apache-2.0"
] | null | null | null | alphapept/matching.py | PatrickvanZalm/alphapept | 58dbe8b75c1a5384f970893c7cc9b7c929a1cfe2 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/09_matching.ipynb (unless otherwise specified).
__all__ = ['calculate_distance', 'calib_table', 'align', 'calculate_deltas', 'align_files', 'align_datasets',
'get_probability', 'match_datasets']
# Cell
import pandas as pd
import numpy as np
def calculate_di... | 36.746544 | 124 | 0.658891 | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/09_matching.ipynb (unless otherwise specified).
__all__ = ['calculate_distance', 'calib_table', 'align', 'calculate_deltas', 'align_files', 'align_datasets',
'get_probability', 'match_datasets']
# Cell
import pandas as pd
import numpy as np
def calculate_di... | 0 | 0 | 0 | 0 | 0 | 67 | 0 | 9 | 52 |
e20006aa1bcdf9766118cc8327dfb3893735dd0f | 5,147 | py | Python | web_journal/service/filesystem.py | pete88b/web_journal | 7a6cd88d13f109836118c2a025a1c69d6172283e | [
"Apache-2.0"
] | null | null | null | web_journal/service/filesystem.py | pete88b/web_journal | 7a6cd88d13f109836118c2a025a1c69d6172283e | [
"Apache-2.0"
] | null | null | null | web_journal/service/filesystem.py | pete88b/web_journal | 7a6cd88d13f109836118c2a025a1c69d6172283e | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: 40b_service_filesystem.ipynb (unless otherwise specified).
__all__ = ['sort_posts', 'posts_list_to_dict', 'migrate', 'ServiceFilesystem', 'before_request', 'after_request',
'init_service']
# Cell
# Cell
# Cell
def posts_list_to_dict(posts,key='id'):
"Conver... | 37.569343 | 113 | 0.631436 | # AUTOGENERATED! DO NOT EDIT! File to edit: 40b_service_filesystem.ipynb (unless otherwise specified).
__all__ = ['sort_posts', 'posts_list_to_dict', 'migrate', 'ServiceFilesystem', 'before_request', 'after_request',
'init_service']
# Cell
import json,uuid,datetime,re
from pathlib import Path
from operator... | 0 | 0 | 0 | 3,369 | 0 | 1,097 | 0 | 20 | 198 |
cf4b895823276a02926235217abb1d4e591964cc | 1,468 | py | Python | core_dev/_collections/graph/graph.py | alexzanderr/_core-dev | 831f69dad524e450c4243b1dd88f26de80e1d444 | [
"MIT"
] | null | null | null | core_dev/_collections/graph/graph.py | alexzanderr/_core-dev | 831f69dad524e450c4243b1dd88f26de80e1d444 | [
"MIT"
] | null | null | null | core_dev/_collections/graph/graph.py | alexzanderr/_core-dev | 831f69dad524e450c4243b1dd88f26de80e1d444 | [
"MIT"
] | null | null | null |
"""
graph.py
useful graph collection
author: @alexzander
"""
# python
# core package
# from exceptions import * (same thing, it works)
| 27.185185 | 97 | 0.583787 |
"""
graph.py
useful graph collection
author: @alexzander
"""
# python
import os
# core package
from core.system import *
from core.json__ import *
from exceptions import *
from core.path__ import *
# from exceptions import * (same thing, it works)
class Graph:
def __init__(... | 0 | 0 | 0 | 1,158 | 0 | 0 | 0 | 3 | 139 |
72b828a699b17bd111dc3d200cb7028c6164204b | 1,356 | py | Python | setup.py | karstenw/FMPasteBox | c84aa860401051ed369d8559afa83f572a2bd729 | [
"BSD-2-Clause"
] | 2 | 2021-07-14T10:07:13.000Z | 2021-11-14T17:59:18.000Z | setup.py | karstenw/FMPasteBox | c84aa860401051ed369d8559afa83f572a2bd729 | [
"BSD-2-Clause"
] | null | null | null | setup.py | karstenw/FMPasteBox | c84aa860401051ed369d8559afa83f572a2bd729 | [
"BSD-2-Clause"
] | null | null | null | """
Script for building FMPasteBox
Usage:
python setup.py py2app
"""
from distutils.core import setup
import FMPasteBoxVersion
setup(
name = FMPasteBoxVersion.appname,
version = FMPasteBoxVersion.version,
description = FMPasteBoxVersion.description,
long_description = FMPasteBoxVersion.longdescri... | 27.12 | 68 | 0.634218 | """
Script for building FMPasteBox
Usage:
python setup.py py2app
"""
from distutils.core import setup
from setuptools.extension import Extension
import py2app
import FMPasteBoxVersion
setup(
name = FMPasteBoxVersion.appname,
version = FMPasteBoxVersion.version,
description = FMPasteBoxVersion.descri... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 45 |
0c0e45b33a5297c3f61ad03da499611f67da31e8 | 9,755 | py | Python | src/visualization/visualize.py | siebeniris/superresolution | 2eec93029c1332720ba17d5747ec9aee19bc0c63 | [
"MIT"
] | null | null | null | src/visualization/visualize.py | siebeniris/superresolution | 2eec93029c1332720ba17d5747ec9aee19bc0c63 | [
"MIT"
] | null | null | null | src/visualization/visualize.py | siebeniris/superresolution | 2eec93029c1332720ba17d5747ec9aee19bc0c63 | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
from src.srgan.srgan_module import Generator as SRGANGenerator
supportedModels = {
"srcnn": SRCNN,
"srcnn-bnorm": SRCNNBatchNorm,
"srcnn-residual": SRCNNR,
"srgan": lambda: SRGANGenerator(scale_factor=2),
}
if __name__ == "__main__":
parser ... | 32.088816 | 108 | 0.526602 | from __future__ import print_function
import argparse
import os
import sys, glob, itertools, math
from typing import List, Dict
from PIL import Image, ImageFont, ImageDraw
import torch
from ..srcnn.srcnn_run import SRCNNPreProcessor, SRCNNPreProcessorGen
from src.srgan.srgan_module import Generator as SRGANGenerator
f... | 0 | 2,514 | 0 | 6,439 | 0 | 0 | 0 | 82 | 178 |
bb3a71e89f46206d090a6a89fb38b7d1c5ab5c34 | 4,883 | py | Python | tests/test_store2hdf5.py | Matioz/humblerl | 8000cf60f2baa8b80927275c15147b6de199d75a | [
"MIT"
] | null | null | null | tests/test_store2hdf5.py | Matioz/humblerl | 8000cf60f2baa8b80927275c15147b6de199d75a | [
"MIT"
] | null | null | null | tests/test_store2hdf5.py | Matioz/humblerl | 8000cf60f2baa8b80927275c15147b6de199d75a | [
"MIT"
] | null | null | null |
from .. import Transition
HDF5_PATH = "/tmp/test_humblerl_callback.hdf5"
| 40.02459 | 94 | 0.584067 | import h5py
import numpy as np
from .. import Transition
from ..callbacks import StoreStates2Hdf5
HDF5_PATH = "/tmp/test_humblerl_callback.hdf5"
class TestStoreTransitions2Hdf5(object):
"""Test callback on 3D (e.g. images) and continuous states."""
def test_images_states(self):
ACTION_SPACE = np.ar... | 0 | 0 | 0 | 4,712 | 0 | 0 | 0 | 6 | 89 |
c84164ddec73f5647fd324062b3b890f6b6bfb9b | 3,362 | py | Python | tests/test_accounts.py | zcking/oink | 95f07567ecda214172c29684d0ee5f67da5b99cf | [
"MIT"
] | 3 | 2017-10-15T21:24:14.000Z | 2021-06-02T21:15:28.000Z | tests/test_accounts.py | zach-king/oink | 95f07567ecda214172c29684d0ee5f67da5b99cf | [
"MIT"
] | 1 | 2018-06-26T03:48:55.000Z | 2018-06-26T03:48:55.000Z | tests/test_accounts.py | zach-king/oink | 95f07567ecda214172c29684d0ee5f67da5b99cf | [
"MIT"
] | null | null | null | '''
File: test_accounts.py
Author: Zachary King
Defines unit tests for accounts.py.
Tests all account features.
'''
from __future__ import print_function
import unittest
if __name__ == '__main__':
unittest.main()
| 33.959596 | 95 | 0.646936 | '''
File: test_accounts.py
Author: Zachary King
Defines unit tests for accounts.py.
Tests all account features.
'''
from __future__ import print_function
import unittest
import os
from oink import accounts, db
class TestAccounts(unittest.TestCase):
'''Defines unit tests for adding and removing accounts.'''
... | 0 | 0 | 0 | 3,075 | 0 | 0 | 0 | -4 | 68 |
8c4c0dc6efacc5b204fcaf8a7dd7a84ae0e43270 | 466 | py | Python | rpna/core/migrations/0007_profile_change_default.py | code-for-good-wm/rooseveltparkna-alerts | bb22150141dd9448004a04df66d9ce0f353a3c10 | [
"MIT"
] | 1 | 2021-11-07T19:00:32.000Z | 2021-11-07T19:00:32.000Z | rpna/core/migrations/0007_profile_change_default.py | code-for-good-wm/rooseveltparkna-alerts | bb22150141dd9448004a04df66d9ce0f353a3c10 | [
"MIT"
] | null | null | null | rpna/core/migrations/0007_profile_change_default.py | code-for-good-wm/rooseveltparkna-alerts | bb22150141dd9448004a04df66d9ce0f353a3c10 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.9 on 2021-11-07 02:05
| 22.190476 | 65 | 0.590129 | # Generated by Django 3.2.9 on 2021-11-07 02:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("core", "0006_profile_fix_nulls"),
]
operations = [
migrations.AlterField(
model_name="profile",
name="neighborhood_u... | 0 | 0 | 0 | 352 | 0 | 0 | 0 | 19 | 46 |
3f1716b49e21337ee8e79019daeb46f75cdd36f3 | 1,316 | py | Python | setup.py | WaltWh/w2n | be5157949e6d0e07d13084ae3dcee0267c6f1711 | [
"MIT"
] | null | null | null | setup.py | WaltWh/w2n | be5157949e6d0e07d13084ae3dcee0267c6f1711 | [
"MIT"
] | null | null | null | setup.py | WaltWh/w2n | be5157949e6d0e07d13084ae3dcee0267c6f1711 | [
"MIT"
] | null | null | null | import re
from setuptools import setup
version = ""
with open("w2n/__init__.py") as f:
search = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]', f.read(), re.MULTILINE)
if search is not None:
version = search.group(1)
else:
raise RuntimeError("Could not grab version string")
if not ... | 31.333333 | 96 | 0.651216 | import re
from setuptools import setup
version = ""
with open("w2n/__init__.py") as f:
search = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]', f.read(), re.MULTILINE)
if search is not None:
version = search.group(1)
else:
raise RuntimeError("Could not grab version string")
if not ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e0f36937cc4182603ec4de89ec2b3cd9d5f9e53c | 5,995 | py | Python | regression/train.py | Mariappan/examples | 2c75018b743a26b6495ddba70100e557aeda11b8 | [
"Apache-2.0"
] | null | null | null | regression/train.py | Mariappan/examples | 2c75018b743a26b6495ddba70100e557aeda11b8 | [
"Apache-2.0"
] | null | null | null | regression/train.py | Mariappan/examples | 2c75018b743a26b6495ddba70100e557aeda11b8 | [
"Apache-2.0"
] | null | null | null | import logging
from typing import Tuple
from catboost import CatBoostRegressor
from environs import Env
import numpy as np
import pandas as pd
from sklearn import metrics
from bedrock_client.bedrock.api import BedrockApi
env = Env()
OUTPUT_MODEL_PATH = env("OUTPUT_MODEL_PATH")
TRAIN_DATA_PATH = env("TRAIN_DATA_PATH")... | 30.431472 | 76 | 0.639867 | import joblib
import logging
from typing import Tuple
from catboost import CatBoostRegressor
from environs import Env
import numpy as np
import pandas as pd
from sklearn import metrics
from bedrock_client.bedrock.analyzer import ModelTask, ModelTypes
from bedrock_client.bedrock.analyzer.model_analyzer import ModelAna... | 0 | 0 | 0 | 0 | 0 | 1,994 | 0 | 257 | 134 |
2df7f47663759c2dc57b8f7fa714d0205f4b1432 | 10,059 | py | Python | Scripts/GenCode_CNN_301.py | ShepherdCode/Soars2021 | ab4f304eaa09e52d260152397a6c53d7a05457da | [
"MIT"
] | 1 | 2021-08-16T14:49:04.000Z | 2021-08-16T14:49:04.000Z | Scripts/GenCode_CNN_301.py | ShepherdCode/Soars2021 | ab4f304eaa09e52d260152397a6c53d7a05457da | [
"MIT"
] | null | null | null | Scripts/GenCode_CNN_301.py | ShepherdCode/Soars2021 | ab4f304eaa09e52d260152397a6c53d7a05457da | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # PC/NC classification by CNN
#
# The convolutional neural network (CNN) was invented for image processing.
# We can use Conv1D layers for processing string sequences.
# How well does CNN work on human RNA as a binary classifier of protein-coding/non-coding?
#
# Assume user... | 32.344051 | 146 | 0.67283 | #!/usr/bin/env python
# coding: utf-8
# # PC/NC classification by CNN
#
# The convolutional neural network (CNN) was invented for image processing.
# We can use Conv1D layers for processing string sequences.
# How well does CNN work on human RNA as a binary classifier of protein-coding/non-coding?
#
# Assume user... | 0 | 0 | 0 | 0 | 0 | 4,856 | 0 | 235 | 637 |
5d00cd12b85bb0a5d6ff531e4050eaf2b25a92f6 | 137 | py | Python | setup.py | perillaseed/PyPunchP2P | a85fb41cc6be96463a8fa3f9ffd7c37f378c5910 | [
"MIT"
] | 1 | 2015-04-25T07:49:37.000Z | 2015-04-25T07:49:37.000Z | setup.py | perillaseed/PyPunchP2P | a85fb41cc6be96463a8fa3f9ffd7c37f378c5910 | [
"MIT"
] | null | null | null | setup.py | perillaseed/PyPunchP2P | a85fb41cc6be96463a8fa3f9ffd7c37f378c5910 | [
"MIT"
] | null | null | null | from distutils.core import setup
setup(console=['client.py'])
setup(console=['server.py'])
setup(console=['stun.py']) | 22.833333 | 33 | 0.715328 | from distutils.core import setup
import py2exe
setup(console=['client.py'])
setup(console=['server.py'])
setup(console=['stun.py']) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 23 |
ed617c413c97581a929329b03f0040b599be7555 | 1,088 | py | Python | examples/pyramid_backbone_redis_chat/chatter3/scripts/populate.py | benthomasson/gevent-socketio | 0f9bd2744af033b7cba57bfd5b82106592e9f667 | [
"BSD-3-Clause"
] | 625 | 2015-01-05T04:11:59.000Z | 2022-03-14T13:29:59.000Z | examples/pyramid_backbone_redis_chat/chatter3/scripts/populate.py | benthomasson/gevent-socketio | 0f9bd2744af033b7cba57bfd5b82106592e9f667 | [
"BSD-3-Clause"
] | 53 | 2015-01-30T07:55:45.000Z | 2021-02-28T10:50:34.000Z | examples/pyramid_backbone_redis_chat/chatter3/scripts/populate.py | benthomasson/gevent-socketio | 0f9bd2744af033b7cba57bfd5b82106592e9f667 | [
"BSD-3-Clause"
] | 213 | 2015-01-05T10:18:51.000Z | 2022-01-23T08:57:38.000Z | #!/usr/bin/env python
import os
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm import scoped_session
DBSession = scoped_session(sessionmaker())
here = os.path.dirname(__file__)
if __name__ == "__main__": # pragma: no cover
main()
| 20.923077 | 57 | 0.693934 | #!/usr/bin/env python
import os
import sys
from pyramid.config import Configurator
from sqlalchemy import engine_from_config
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm import scoped_session
from chatter3.models import Base
from pyramid.paster import (
get_appsettings,
setup_logging,
)
DBSes... | 0 | 0 | 0 | 0 | 0 | 589 | 0 | 87 | 159 |
b5ec4357a8609ecfac4ad2393bae54409aeac7a2 | 30,691 | py | Python | _JNJ/Media_Defaults.py | Tapyr/tapyr | 4235fba6dce169fe747cce4d17d88dcf4a3f9f1d | [
"BSD-3-Clause"
] | 6 | 2016-12-10T17:51:10.000Z | 2021-10-11T07:51:48.000Z | _JNJ/Media_Defaults.py | Tapyr/tapyr | 4235fba6dce169fe747cce4d17d88dcf4a3f9f1d | [
"BSD-3-Clause"
] | null | null | null | _JNJ/Media_Defaults.py | Tapyr/tapyr | 4235fba6dce169fe747cce4d17d88dcf4a3f9f1d | [
"BSD-3-Clause"
] | 3 | 2020-03-29T07:37:03.000Z | 2021-01-21T16:08:40.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2011-2019 Mag. Christian Tanzer All rights reserved
# Glasauergasse 32, A--1130 Wien, Austria. tanzer@swing.co.at
# ****************************************************************************
# This module is part of the package JNJ.
#
# This module is licensed under the terms o... | 36.107059 | 91 | 0.470105 | # -*- coding: utf-8 -*-
# Copyright (C) 2011-2019 Mag. Christian Tanzer All rights reserved
# Glasauergasse 32, A--1130 Wien, Austria. tanzer@swing.co.at
# ****************************************************************************
# This module is part of the package JNJ.
#
# This module is licensed under the terms o... | 47 | 0 | 0 | 26,566 | 0 | 0 | 0 | 150 | 68 |
7e8520464ef78923e2bcd35f840d3b3c36c23689 | 76 | py | Python | Exercise_4_9.py | kushrami/Python-Crash-Course-book-Excersice | 7093181940a90d9f4bab5775ef56f57963450393 | [
"Apache-2.0"
] | null | null | null | Exercise_4_9.py | kushrami/Python-Crash-Course-book-Excersice | 7093181940a90d9f4bab5775ef56f57963450393 | [
"Apache-2.0"
] | null | null | null | Exercise_4_9.py | kushrami/Python-Crash-Course-book-Excersice | 7093181940a90d9f4bab5775ef56f57963450393 | [
"Apache-2.0"
] | null | null | null | #list comprehension
cubes = [cube**3 for cube in range(1,11)]
print(cubes)
| 15.2 | 41 | 0.710526 | #list comprehension
cubes = [cube**3 for cube in range(1,11)]
print(cubes)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
00380a4e96afe9b21aff8fb8b7107dd165f0876b | 38,092 | py | Python | src/gui.py | mgely/scriptq | 7339abfdefac8a1df6f3c0928e6f22bae9620e05 | [
"MIT"
] | null | null | null | src/gui.py | mgely/scriptq | 7339abfdefac8a1df6f3c0928e6f22bae9620e05 | [
"MIT"
] | 1 | 2020-06-10T08:08:24.000Z | 2020-06-10T08:08:24.000Z | src/gui.py | mgely/scriptq | 7339abfdefac8a1df6f3c0928e6f22bae9620e05 | [
"MIT"
] | null | null | null | from os import path
try:
from . import settings
except ImportError:
# Running from source
# Contains the graphics featured on the buttons
graphics_directory = path.join(path.dirname(__file__), "graphics")
'''
Hiearchy of Tkinter frames:
GuiWindow.master = tk.Tk()
GuiWindow(ttk.Frame)
Ba... | 33.590829 | 88 | 0.55891 | import tkinter as tk
from tkinter import messagebox, filedialog, simpledialog, scrolledtext
from tkinter import PhotoImage
from tkinter import ttk
import subprocess
from threading import Thread
import time
import tempfile
from os import path
import sys
try:
from . import settings
except ImportError:
# Running f... | 0 | 0 | 0 | 36,713 | 0 | 0 | 0 | 29 | 408 |
e083ad3a3c94ca1b1fe9170e1f7a73ca987df66a | 250 | py | Python | Thesis_WebCrawler/coursera/scrape_coursera.py | cdhekne/My_Thesis | 7f60dc48ea7de68c66a702816271ce94832b8fa0 | [
"Apache-2.0"
] | null | null | null | Thesis_WebCrawler/coursera/scrape_coursera.py | cdhekne/My_Thesis | 7f60dc48ea7de68c66a702816271ce94832b8fa0 | [
"Apache-2.0"
] | 1 | 2016-10-25T23:21:17.000Z | 2016-10-25T23:21:17.000Z | Thesis_WebCrawler/coursera/scrape_coursera.py | GradThesis/Thesis | 7f60dc48ea7de68c66a702816271ce94832b8fa0 | [
"Apache-2.0"
] | null | null | null | import coursera_requests as c
import sys
try:
# c.getCourseraCategories()
c.getCourseraCourses()
# c.getCourseraInstructors()
# c.getCourseraSessions()
# c.getCourseraUniversities()
except:
print ("Unexpected error:", sys.exc_info()[0])
raise | 20.833333 | 47 | 0.756 | import coursera_requests as c
import sys
try:
# c.getCourseraCategories()
c.getCourseraCourses()
# c.getCourseraInstructors()
# c.getCourseraSessions()
# c.getCourseraUniversities()
except:
print ("Unexpected error:", sys.exc_info()[0])
raise | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
97daa73929b125d81963d3faf813e0c563052bb2 | 599 | py | Python | make_log_table.py | kevinko/rabin | ad80bb12a455c25ded958f0ad86564d9465175cf | [
"BSD-3-Clause"
] | 17 | 2015-04-11T16:54:30.000Z | 2021-11-12T05:15:04.000Z | make_log_table.py | kevinko/rabin | ad80bb12a455c25ded958f0ad86564d9465175cf | [
"BSD-3-Clause"
] | 3 | 2015-07-24T04:46:42.000Z | 2019-11-27T11:40:31.000Z | make_log_table.py | kevinko/rabin | ad80bb12a455c25ded958f0ad86564d9465175cf | [
"BSD-3-Clause"
] | 6 | 2015-06-24T14:50:29.000Z | 2019-05-29T07:08:46.000Z | #!/usr/bin/python
# Copyright 2012, Kevin Ko <kevin@faveset.com>. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
#
# Generates an 8-bit log base 2 table.
# Print out an inverse 8-bit log table
print "-1, 0, 1, 1," # log(i) for i in 0, 1, 2,... | 23.038462 | 69 | 0.589316 | #!/usr/bin/python
# Copyright 2012, Kevin Ko <kevin@faveset.com>. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
#
# Generates an 8-bit log base 2 table.
def lt(n):
print (",".join([str(n) for i in xrange(16)]) + ",")
# Print out an inver... | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 0 | 23 |
3369a1c91cb44fe5318448852ed32ffe37ae2507 | 3,825 | py | Python | authors/apps/articles/migrations/0001_initial.py | andela/ah-backend-stark | c38810e221f95567262034b860ee0512cf15f102 | [
"BSD-3-Clause"
] | null | null | null | authors/apps/articles/migrations/0001_initial.py | andela/ah-backend-stark | c38810e221f95567262034b860ee0512cf15f102 | [
"BSD-3-Clause"
] | 29 | 2018-09-25T13:53:06.000Z | 2021-06-10T20:51:58.000Z | authors/apps/articles/migrations/0001_initial.py | andela/ah-backend-stark | c38810e221f95567262034b860ee0512cf15f102 | [
"BSD-3-Clause"
] | 2 | 2019-08-02T12:23:24.000Z | 2019-11-05T12:22:23.000Z | # Generated by Django 2.1.2 on 2018-11-22 17:40
| 47.222222 | 145 | 0.585359 | # Generated by Django 2.1.2 on 2018-11-22 17:40
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('profiles', '0001_initial'),
migrations.swappable_dependency(set... | 0 | 0 | 0 | 3,645 | 0 | 0 | 0 | 41 | 90 |
84de6959d1cf90895494230c52ee66aae1877921 | 95 | py | Python | Chapter 3/stateless.py | PacktPublishing/Machine-Learning-Model-Serving-Patterns-and-Best-Practices | 390ae5868e023f0e417f5dca23eab69e848c5f91 | [
"MIT"
] | null | null | null | Chapter 3/stateless.py | PacktPublishing/Machine-Learning-Model-Serving-Patterns-and-Best-Practices | 390ae5868e023f0e417f5dca23eab69e848c5f91 | [
"MIT"
] | null | null | null | Chapter 3/stateless.py | PacktPublishing/Machine-Learning-Model-Serving-Patterns-and-Best-Practices | 390ae5868e023f0e417f5dca23eab69e848c5f91 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
print(fun(5)) # Always returns 25
| 15.833333 | 37 | 0.6 | def fun(x):
return x * x
if __name__ == "__main__":
print(fun(5)) # Always returns 25
| 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 22 |
5013fdff381c0cc0e6850f21d14cefe9667b2bba | 908 | py | Python | plot.py | Aravind-Suresh/non-uniform-betweenness-centrality | 4473ea157d93322a8680c1cfc18bfa69d00bfc56 | [
"MIT"
] | null | null | null | plot.py | Aravind-Suresh/non-uniform-betweenness-centrality | 4473ea157d93322a8680c1cfc18bfa69d00bfc56 | [
"MIT"
] | null | null | null | plot.py | Aravind-Suresh/non-uniform-betweenness-centrality | 4473ea157d93322a8680c1cfc18bfa69d00bfc56 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import sys
"""
Utility script to plot Execution time Vs Number of vertices based on the log-files obtained by running tests/*.sh
"""
lines = open(sys.argv[1]).readlines()[1::2]
x = map(lambda xx: 5*eval(xx.strip().split('\t')[1].split(' ')[1]), lines[::2])
# x = map(lambda xx: 400*eval(x... | 25.942857 | 113 | 0.598018 | import matplotlib.pyplot as plt
import sys
"""
Utility script to plot Execution time Vs Number of vertices based on the log-files obtained by running tests/*.sh
"""
lines = open(sys.argv[1]).readlines()[1::2]
x = map(lambda xx: 5*eval(xx.strip().split('\t')[1].split(' ')[1]), lines[::2])
# x = map(lambda xx: 400*eval(x... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ec87cbc371454a77008029d3d80e1d5a2d9cde1b | 1,236 | py | Python | microcosm_metrics/main.py | globality-corp/microcosm-metrics | ca63c7c7ef67c637c6f20cd37eac301f07e32c6d | [
"Apache-2.0"
] | 1 | 2021-05-27T20:17:51.000Z | 2021-05-27T20:17:51.000Z | microcosm_metrics/main.py | globality-corp/microcosm-metrics | ca63c7c7ef67c637c6f20cd37eac301f07e32c6d | [
"Apache-2.0"
] | 1 | 2018-10-09T13:16:17.000Z | 2018-10-09T13:16:17.000Z | microcosm_metrics/main.py | globality-corp/microcosm-metrics | ca63c7c7ef67c637c6f20cd37eac301f07e32c6d | [
"Apache-2.0"
] | 1 | 2019-03-17T03:46:28.000Z | 2019-03-17T03:46:28.000Z | """
Test CLI for metric integration.
"""
from getpass import getuser
from time import sleep
from microcosm_metrics.naming import name_for
def publish():
"""
Publish a metric (for testing).
"""
args = parse_args()
statsd = create_statsd_client(args)
if args.action == "increment":
... | 23.320755 | 92 | 0.674757 | """
Test CLI for metric integration.
"""
from argparse import ArgumentParser
from getpass import getuser
from time import sleep
from microcosm.api import create_object_graph
from microcosm.loaders import load_from_dict
from microcosm_metrics.naming import name_for
def parse_args():
parser = ArgumentParser()
... | 0 | 0 | 0 | 0 | 0 | 443 | 0 | 61 | 113 |
e8dab8438c4953bc3ee00db7c8f6087572852097 | 2,854 | py | Python | test_metrics_maes.py | maximdanilchenko/fusionBasedRecSys | 42b47a6cb2691967aad8c65932b932f8ee5e231d | [
"MIT"
] | null | null | null | test_metrics_maes.py | maximdanilchenko/fusionBasedRecSys | 42b47a6cb2691967aad8c65932b932f8ee5e231d | [
"MIT"
] | null | null | null | test_metrics_maes.py | maximdanilchenko/fusionBasedRecSys | 42b47a6cb2691967aad8c65932b932f8ee5e231d | [
"MIT"
] | null | null | null | import shelve
import matplotlib.pyplot as plt
genData('base','u2.base')
genData('test','u2.test')
print("data ready")
base = transform(shelve.open('base'))
test = transform(shelve.open('test'))
##base = {'max':{'odin doma':3,'labirint straha':5,'detektiv':2,'komnata':4},
## 'dima':{'odin doma':... | 38.567568 | 131 | 0.546952 | from metrics import *
from itembased_recommender_system import *
import shelve
import matplotlib.pyplot as plt
genData('base','u2.base')
genData('test','u2.test')
print("data ready")
base = transform(shelve.open('base'))
test = transform(shelve.open('test'))
##base = {'max':{'odin doma':3,'labirint strah... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 46 |
1167c2e8ebd9cd5d4995f31fedeb5bf1dfb82d45 | 2,492 | py | Python | meiduo_mall/meiduo_mall/apps/oauth/utils.py | bapewing/MeiduoMall | 2b1634de2b7bc9eec80716770894824d668ec314 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/oauth/utils.py | bapewing/MeiduoMall | 2b1634de2b7bc9eec80716770894824d668ec314 | [
"MIT"
] | null | null | null | meiduo_mall/meiduo_mall/apps/oauth/utils.py | bapewing/MeiduoMall | 2b1634de2b7bc9eec80716770894824d668ec314 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger('django')
| 30.390244 | 121 | 0.58748 | import json
import logging
from urllib.parse import urlencode, parse_qs
from urllib.request import urlopen
from django.conf import settings
from oauth.exceptions import QQAPIException
logger = logging.getLogger('django')
class OauthQQ(object):
"""
QQ认证工具类
"""
def __init__(self, app_id=None, app_ke... | 162 | 0 | 0 | 2,190 | 0 | 0 | 0 | 59 | 135 |
bbc176cb39896e1eb962622b41c7feb57f5208ed | 17,306 | py | Python | src/state_base.py | akolishchak/doom-net-pytorch | 96bad5b15c9c5267d494cd5791481801cd6d2107 | [
"MIT"
] | 143 | 2017-01-30T01:43:58.000Z | 2021-11-15T07:53:22.000Z | src/state_base.py | akolishchak/doom-net-pytorch | 96bad5b15c9c5267d494cd5791481801cd6d2107 | [
"MIT"
] | 7 | 2017-12-28T02:42:08.000Z | 2020-05-23T23:12:33.000Z | src/state_base.py | akolishchak/doom-net-pytorch | 96bad5b15c9c5267d494cd5791481801cd6d2107 | [
"MIT"
] | 27 | 2017-02-03T09:20:10.000Z | 2020-07-19T21:35:28.000Z | #
# aac_state_base.py, doom-net
#
# Created by Andrey Kolishchak on 01/21/17.
#
import torch.optim as optim
| 45.067708 | 229 | 0.570322 | #
# aac_state_base.py, doom-net
#
# Created by Andrey Kolishchak on 01/21/17.
#
import os
import datetime
import glob
from multiprocessing.pool import ThreadPool
from threading import Thread
import time
import h5py
import bisect
import torch
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.d... | 0 | 0 | 0 | 16,752 | 0 | 0 | 0 | 48 | 397 |
d85c96f9a4ab5c97f33e2f69851fd5509bf3d8bc | 1,027 | py | Python | dataset/TransNAS-Bench-101/models/utils/utils.py | mindspore-ai/contrib | 85dccac7a2ba6e962092ecd51aefd962d7f2aeac | [
"Apache-2.0"
] | 2 | 2021-11-10T06:16:55.000Z | 2022-02-22T11:30:04.000Z | dataset/TransNAS-Bench-101/models/utils/utils.py | mindspore-ai/contrib | 85dccac7a2ba6e962092ecd51aefd962d7f2aeac | [
"Apache-2.0"
] | null | null | null | dataset/TransNAS-Bench-101/models/utils/utils.py | mindspore-ai/contrib | 85dccac7a2ba6e962092ecd51aefd962d7f2aeac | [
"Apache-2.0"
] | 1 | 2022-03-22T06:03:15.000Z | 2022-03-22T06:03:15.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 30.205882 | 78 | 0.627069 | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | 0 | 0 | 0 | 0 | 0 | 77 | 0 | 0 | 23 |
a155bdc515a1f2882b5a75befd2139acb09c7731 | 1,410 | py | Python | tests/classes/test_channel_group_registry.py | vkottler/vtelem | 3908f2445249ddb5f2057fe3a7f46c204b677bbb | [
"MIT"
] | 3 | 2021-02-03T01:14:44.000Z | 2022-02-27T00:14:13.000Z | tests/classes/test_channel_group_registry.py | vkottler/vtelem | 3908f2445249ddb5f2057fe3a7f46c204b677bbb | [
"MIT"
] | 27 | 2021-05-04T21:19:41.000Z | 2022-02-27T00:49:18.000Z | tests/classes/test_channel_group_registry.py | vkottler/vtelem | 3908f2445249ddb5f2057fe3a7f46c204b677bbb | [
"MIT"
] | null | null | null | """
vtelem - Test the channel-group registry's correctness.
"""
# module under test
from vtelem.enums.primitive import Primitive
from vtelem.channel.group_registry import ChannelGroupRegistry
from vtelem.telemetry.environment import TelemetryEnvironment
# internal
from . import EnumA
def test_group_registry_basic()... | 29.375 | 74 | 0.61844 | """
vtelem - Test the channel-group registry's correctness.
"""
# module under test
from vtelem.enums.primitive import Primitive
from vtelem.channel.group_registry import ChannelGroupRegistry
from vtelem.telemetry.environment import TelemetryEnvironment
# internal
from . import EnumA
def test_group_registry_basic()... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6eaccc68cf3c4a05bd6471980fcbe35ac2f815a9 | 775 | py | Python | extra_scripts/plot_naive_expansion_length.py | wdecoster/exrede | 3e1f81d55365c360ee0d2d620c5239b5f3488825 | [
"MIT"
] | null | null | null | extra_scripts/plot_naive_expansion_length.py | wdecoster/exrede | 3e1f81d55365c360ee0d2d620c5239b5f3488825 | [
"MIT"
] | null | null | null | extra_scripts/plot_naive_expansion_length.py | wdecoster/exrede | 3e1f81d55365c360ee0d2d620c5239b5f3488825 | [
"MIT"
] | null | null | null | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
res = [line.strip().split('\t') for line in open("sizes.txt").readlines()]
a = []
for line in res:
sizes = [int(i) for i in line[1].split(',')]
strands = [j for j in line[2].split(',')]
for si, st in zip(sizes, strands):
a.... | 27.678571 | 74 | 0.590968 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
res = [line.strip().split('\t') for line in open("sizes.txt").readlines()]
a = []
for line in res:
sizes = [int(i) for i in line[1].split(',')]
strands = [j for j in line[2].split(',')]
for si, st in zip(sizes, strands):
a.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
582bb6d45d5243b53f6b225ab85affb63b8d114d | 11,102 | py | Python | src/pyetllib/etllib/tools/streamtools.py | slouchart/pyetllib | 133df36a1628f413cd60a86e4c7eac2738844d17 | [
"MIT"
] | 2 | 2020-04-01T10:08:02.000Z | 2021-03-07T15:18:14.000Z | src/pyetllib/etllib/tools/streamtools.py | slouchart/pyetllib | 133df36a1628f413cd60a86e4c7eac2738844d17 | [
"MIT"
] | null | null | null | src/pyetllib/etllib/tools/streamtools.py | slouchart/pyetllib | 133df36a1628f413cd60a86e4c7eac2738844d17 | [
"MIT"
] | 1 | 2020-10-13T13:23:02.000Z | 2020-10-13T13:23:02.000Z |
"""
designing a lookup scheme.
accepts any Iterable
for each item in this iterable
- computes a key value from the item data using a provided callable
- checks if a provided lookup map contains this key
if yes:
- outputs this item optionally enriched with the lookup data using
another provided... | 26.245863 | 96 | 0.580796 | from itertools import starmap, filterfalse, zip_longest
from itertools import chain
import functools
from functools import reduce as reduce_
import operator
from collections import namedtuple
import toolz
from toolz import pipe as pipe_, compose as compose_
from ._iterators import _iterators_controller, _controlle... | 0 | 1,751 | 0 | 3,020 | 1,138 | 3,332 | 0 | 128 | 826 |
5d4a5045147d1f57d04c1ce247f1b2f1b13ede17 | 2,309 | py | Python | tests/mocks.py | DJRavinszkha/pykeen | d79fe39f83bc2831137f22be6421b37568694cf4 | [
"MIT"
] | null | null | null | tests/mocks.py | DJRavinszkha/pykeen | d79fe39f83bc2831137f22be6421b37568694cf4 | [
"MIT"
] | null | null | null | tests/mocks.py | DJRavinszkha/pykeen | d79fe39f83bc2831137f22be6421b37568694cf4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Mocks for tests."""
__all__ = [
'CustomRepresentations',
'MockModel',
]
| 37.241935 | 100 | 0.705067 | # -*- coding: utf-8 -*-
"""Mocks for tests."""
from typing import Optional, Tuple
import torch
from torch import nn
from pykeen.models import EntityRelationEmbeddingModel, Model
from pykeen.nn.emb import EmbeddingSpecification, RepresentationModule
from pykeen.triples import TriplesFactory
__all__ = [
'CustomR... | 0 | 0 | 0 | 1,905 | 0 | 0 | 0 | 112 | 181 |
82a0f8ff772d456c1a957e6548993cb6ed8fd932 | 3,968 | py | Python | colander_validators/__init__.py | ixmatus/colander-validators | 68b43e5d6596383ff604da5f2237d185bd5780c2 | [
"BSD-3-Clause"
] | 2 | 2015-06-01T15:17:23.000Z | 2015-06-01T18:40:31.000Z | colander_validators/__init__.py | ixmatus/colander-validators | 68b43e5d6596383ff604da5f2237d185bd5780c2 | [
"BSD-3-Clause"
] | null | null | null | colander_validators/__init__.py | ixmatus/colander-validators | 68b43e5d6596383ff604da5f2237d185bd5780c2 | [
"BSD-3-Clause"
] | null | null | null | import re
def email(value):
"""Validate an email address
>>> email("barney@purpledino.com")
True
>>> email("barneydino.com")
'An email address must contain a single @'
"""
usernameRE = re.compile(r"^[^ \t\n\r@<>()]+$", re.I)
domainRE = re.compile(r'''
^(?:[a-z0-9][a-z0-9\... | 32.260163 | 106 | 0.521925 | import re
def email(value):
"""Validate an email address
>>> email("barney@purpledino.com")
True
>>> email("barneydino.com")
'An email address must contain a single @'
"""
usernameRE = re.compile(r"^[^ \t\n\r@<>()]+$", re.I)
domainRE = re.compile(r'''
^(?:[a-z0-9][a-z0-9\... | 0 | 0 | 0 | 0 | 0 | 534 | 0 | 0 | 23 |
4db4f3928bb1714fb5828395c74a12d60da6ce54 | 7,963 | py | Python | TwitchApi.py | borgej/BrexBot | 2413bd4ec978ed40b8e02b1452dcfac9451ee2c5 | [
"Apache-2.0"
] | null | null | null | TwitchApi.py | borgej/BrexBot | 2413bd4ec978ed40b8e02b1452dcfac9451ee2c5 | [
"Apache-2.0"
] | null | null | null | TwitchApi.py | borgej/BrexBot | 2413bd4ec978ed40b8e02b1452dcfac9451ee2c5 | [
"Apache-2.0"
] | null | null | null | import logging
logging.basicConfig(level=logging.DEBUG)
# Class to access the new Twitch 'HELIX' API
# The class receives it's authentication from a dictionary (HEADERS) in the Config.py file.
# The "Bearer" token must have the required scopes to perform successful API calls.
| 42.811828 | 131 | 0.613337 | import json
import urllib
import requests
import Config
import logging
logging.basicConfig(level=logging.DEBUG)
# Class to access the new Twitch 'HELIX' API
# The class receives it's authentication from a dictionary (HEADERS) in the Config.py file.
# The "Bearer" token must have the required scopes to perform succes... | 0 | 0 | 0 | 7,605 | 0 | 0 | 0 | -32 | 110 |
c41ff4afe695367041a744827d6210a2ecd34a31 | 829 | py | Python | src/var.py | JayHeng/pzh-knockout-round | c34111da8d69f748e1bc3f7a658426ad59f79af7 | [
"BSD-3-Clause"
] | null | null | null | src/var.py | JayHeng/pzh-knockout-round | c34111da8d69f748e1bc3f7a658426ad59f79af7 | [
"BSD-3-Clause"
] | null | null | null | src/var.py | JayHeng/pzh-knockout-round | c34111da8d69f748e1bc3f7a658426ad59f79af7 | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
g_playerDict = {'player1':u"nobody",
'player2':u"nobody",
'player3':u"nobody",
'player4':u"nobody",
'player5':u"nobody",
'player6':u"nobody",
'player7':u"nobody",
... | 26.741935 | 37 | 0.463209 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os
g_playerDict = {'player1':u"nobody",
'player2':u"nobody",
'player3':u"nobody",
'player4':u"nobody",
'player5':u"nobody",
'player6':u"nobody",
'player7':u"n... | 0 | 0 | 0 | 0 | 0 | 96 | 0 | -23 | 90 |
5c5ab3597807a949bef2e7b63629871211bc1d50 | 7,620 | py | Python | web/forms/account.py | HongDaMa/sass_project | d971a4307a4057ecb0bea72c34e6c2112cfc2497 | [
"Apache-2.0"
] | 1 | 2021-03-01T10:50:05.000Z | 2021-03-01T10:50:05.000Z | web/forms/account.py | HongDaMa/sass_project | d971a4307a4057ecb0bea72c34e6c2112cfc2497 | [
"Apache-2.0"
] | 5 | 2021-06-08T21:20:53.000Z | 2022-03-12T00:24:58.000Z | web/forms/account.py | HongDaMa/sass_project | d971a4307a4057ecb0bea72c34e6c2112cfc2497 | [
"Apache-2.0"
] | null | null | null | #!E:\py_virtual_env\saas_project\Scripts\python.exe
# -*- coding: utf-8 -*-
from django.core.validators import ValidationError
| 31.229508 | 89 | 0.599213 | #!E:\py_virtual_env\saas_project\Scripts\python.exe
# -*- coding: utf-8 -*-
from django import forms
from web import models
from django.core.validators import RegexValidator,ValidationError
from django.core.exceptions import ValidationError
from django.conf import settings
from django_redis import get_redis_connection
... | 1,209 | 0 | 0 | 6,696 | 0 | 0 | 0 | 103 | 291 |
52a139c5e62ffa00b24af6c10f5d0ac8fb2a1335 | 431 | py | Python | CodingBat/Python/Logic-1/cigar_party.py | Togohogo1/pg | ee3c36acde47769c66ee13a227762ee677591375 | [
"MIT"
] | null | null | null | CodingBat/Python/Logic-1/cigar_party.py | Togohogo1/pg | ee3c36acde47769c66ee13a227762ee677591375 | [
"MIT"
] | 1 | 2021-10-14T18:26:56.000Z | 2021-10-14T18:26:56.000Z | CodingBat/Python/Logic-1/cigar_party.py | Togohogo1/pg | ee3c36acde47769c66ee13a227762ee677591375 | [
"MIT"
] | 1 | 2021-08-06T03:39:55.000Z | 2021-08-06T03:39:55.000Z | '''
When squirrels get together for a party, they like to have cigars. A squirrel
party is successful when the number of cigars is between 40 and 60,
inclusive. Unless it is the weekend, in which case there is no upper bound on
the number of cigars. Return True if the party with the given values is
successful, or False... | 39.181818 | 77 | 0.758701 | '''
When squirrels get together for a party, they like to have cigars. A squirrel
party is successful when the number of cigars is between 40 and 60,
inclusive. Unless it is the weekend, in which case there is no upper bound on
the number of cigars. Return True if the party with the given values is
successful, or False... | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 0 | 23 |
6219e63f4cbb5f076b00f07b3a8aca7479ab646f | 1,052 | py | Python | Python/DataCampChallenge-main/problem.py | BechirTr/Some_Projects | ac0d3975f5969903a0fcf67cf72f7d9cae42d272 | [
"Apache-2.0"
] | null | null | null | Python/DataCampChallenge-main/problem.py | BechirTr/Some_Projects | ac0d3975f5969903a0fcf67cf72f7d9cae42d272 | [
"Apache-2.0"
] | null | null | null | Python/DataCampChallenge-main/problem.py | BechirTr/Some_Projects | ac0d3975f5969903a0fcf67cf72f7d9cae42d272 | [
"Apache-2.0"
] | 1 | 2021-02-02T17:09:04.000Z | 2021-02-02T17:09:04.000Z | import rampwf as rw
problem_title = 'Salary prediction'
_target_column_name = 'SalaryUSD'
# A value which will be used to create wrapper objects for y_pred
Predictions = rw.prediction_types.make_regression()
# An object implementing the workflow
workflow = rw.workflows.Estimator()
score_types = [
... | 23.909091 | 75 | 0.694867 | import os
import pandas as pd
import rampwf as rw
from sklearn.model_selection import ShuffleSplit
import numpy as np
problem_title = 'Salary prediction'
_target_column_name = 'SalaryUSD'
# A value which will be used to create wrapper objects for y_pred
Predictions = rw.prediction_types.make_regression()
... | 0 | 0 | 0 | 0 | 0 | 458 | 0 | 10 | 192 |
f9f1f120411b015f12b61e2e79f925200ac0f016 | 6,008 | py | Python | kochira/services/core/logger.py | nattofriends/kochira | 8c41f9936ed588a8acc365a2829f06521388e55b | [
"MS-PL"
] | null | null | null | kochira/services/core/logger.py | nattofriends/kochira | 8c41f9936ed588a8acc365a2829f06521388e55b | [
"MS-PL"
] | 1 | 2019-05-13T22:02:18.000Z | 2019-05-13T22:02:18.000Z | kochira/services/core/logger.py | nattofriends/kochira | 8c41f9936ed588a8acc365a2829f06521388e55b | [
"MS-PL"
] | 1 | 2019-05-13T21:22:02.000Z | 2019-05-13T21:22:02.000Z | """
IRC message logger.
Enables logging of messages to flat files.
"""
from kochira.service import Service
service = Service(__name__, __doc__)
| 27.18552 | 85 | 0.651298 | """
IRC message logger.
Enables logging of messages to flat files.
"""
import threading
from datetime import datetime
from kochira import config
from kochira.service import Service, Config
from pathlib import Path
service = Service(__name__, __doc__)
@service.config
class Config(Config):
log_dir = config.Fiel... | 0 | 3,252 | 0 | 0 | 0 | 1,853 | 0 | 19 | 711 |
c1339e18a7f733a5c9225797b9a9145e7b651fbb | 4,560 | py | Python | tests/test_classifier_api.py | pmatigakis/classifier | b37c89df947f26a8001aa7a51dad86af1921ed19 | [
"MIT"
] | 1 | 2020-01-07T00:05:09.000Z | 2020-01-07T00:05:09.000Z | tests/test_classifier_api.py | pmatigakis/classifier | b37c89df947f26a8001aa7a51dad86af1921ed19 | [
"MIT"
] | 2 | 2019-12-20T19:02:37.000Z | 2019-12-20T19:02:38.000Z | tests/test_classifier_api.py | pmatigakis/classifier | b37c89df947f26a8001aa7a51dad86af1921ed19 | [
"MIT"
] | 1 | 2017-05-24T19:56:08.000Z | 2017-05-24T19:56:08.000Z | from unittest import main
if __name__ == "__main__":
main()
| 25.333333 | 75 | 0.557237 | import json
from unittest import main
from unittest.mock import patch
from common import ClassifierTestCaseWithMockClassifiers
from classifier import __VERSION__
from classifier.ml import Classifier
class ClassificationEndpointTests(ClassifierTestCaseWithMockClassifiers):
def test_probability_classifier(self):
... | 0 | 714 | 0 | 3,510 | 0 | 0 | 0 | 63 | 203 |
537e3e050876d7c9d2b8f2ecca7ee3f33f63f223 | 7,246 | py | Python | utils.py | lobachevzky/on-policy-curiosity | 1d1e9c05b04d313d15e698fb8a05c3116085381f | [
"MIT"
] | 1 | 2021-11-22T09:43:13.000Z | 2021-11-22T09:43:13.000Z | utils.py | lobachevzky/on-policy-curiosity | 1d1e9c05b04d313d15e698fb8a05c3116085381f | [
"MIT"
] | 2 | 2019-12-17T04:05:25.000Z | 2020-03-18T18:38:31.000Z | utils.py | lobachevzky/on-policy-curiosity | 1d1e9c05b04d313d15e698fb8a05c3116085381f | [
"MIT"
] | 1 | 2020-05-29T15:14:36.000Z | 2020-05-29T15:14:36.000Z | # third party
import torch
import torch.nn as nn
# Necessary for my KFAC implementation.
# https://github.com/openai/baselines/blob/master/baselines/common/tf_util.py#L87
RESET = "\033[0m"
| 26.542125 | 87 | 0.635109 | # third party
import argparse
import csv
import random
import re
import subprocess
from dataclasses import fields, is_dataclass
from functools import reduce
from io import StringIO
from typing import List, Optional
import numpy as np
import torch
import torch.jit
import torch.nn as nn
from gym import spaces
import gym... | 0 | 69 | 0 | 883 | 1,847 | 3,384 | 0 | -15 | 860 |
3e3b84b9bfcb2d82c9de1b00bbb595e034cc5661 | 28,845 | py | Python | flatsat/comms/user_segment/radio/flowgraphs/unit_test/test_flatsat_rx.py | cromulencellc/hackasat-final-2021 | d01a1b5d7947b3e41ae2da3ec63d5f43278a5eac | [
"MIT"
] | 4 | 2022-02-25T05:45:27.000Z | 2022-03-10T01:05:27.000Z | flatsat/comms/user_segment/radio/flowgraphs/unit_test/test_flatsat_rx.py | cromulencellc/hackasat-final-2021 | d01a1b5d7947b3e41ae2da3ec63d5f43278a5eac | [
"MIT"
] | null | null | null | flatsat/comms/user_segment/radio/flowgraphs/unit_test/test_flatsat_rx.py | cromulencellc/hackasat-final-2021 | d01a1b5d7947b3e41ae2da3ec63d5f43278a5eac | [
"MIT"
] | 2 | 2022-03-02T02:14:16.000Z | 2022-03-05T07:36:18.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: GPL-3.0
#
# GNU Radio Python Flow Graph
# Title: Flatsat RX Test
# Author: dev
# GNU Radio version: 3.9.3.0
if __name__ == '__main__':
import ctypes
import sys
if sys.platform.startswith('linux'):
try:
x11 = ct... | 42.988077 | 154 | 0.668123 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: GPL-3.0
#
# GNU Radio Python Flow Graph
# Title: Flatsat RX Test
# Author: dev
# GNU Radio version: 3.9.3.0
from distutils.version import StrictVersion
if __name__ == '__main__':
import ctypes
import sys
if sys.platform.startswit... | 0 | 0 | 0 | 26,680 | 0 | 641 | 0 | 206 | 680 |
650df8b817d43a116b8c59edc813e4e70e09997b | 715 | py | Python | py/sc.py | Utsho/Car-Number-Plate-Reading | 5c8c92bb320d9b19a0d54015d80a75dfc4cbf60a | [
"CNRI-Python"
] | 1 | 2019-08-24T04:06:35.000Z | 2019-08-24T04:06:35.000Z | py/sc.py | Utsho/Car-Number-Plate-Reading | 5c8c92bb320d9b19a0d54015d80a75dfc4cbf60a | [
"CNRI-Python"
] | null | null | null | py/sc.py | Utsho/Car-Number-Plate-Reading | 5c8c92bb320d9b19a0d54015d80a75dfc4cbf60a | [
"CNRI-Python"
] | null | null | null | from random import randint
import os
from PIL import Image
path='final'
classnames=os.listdir(path)
images=[]
f1=open('input_index.txt','w')
for temp in classnames:
images.append(Image.open('final/'+temp))
f1.write(temp+"\n")
f1.close()
k=len(images)
im2=[]
for i in range(k):
img=images[i]
im2.append(img)
h=... | 16.627907 | 41 | 0.653147 | from random import randint
import os
from PIL import Image
path='final'
classnames=os.listdir(path)
images=[]
f1=open('input_index.txt','w')
for temp in classnames:
images.append(Image.open('final/'+temp))
f1.write(temp+"\n")
f1.close()
k=len(images)
im2=[]
for i in range(k):
img=images[i]
im2.append(img)
h=... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e855e1e160879d94bc5165d60b4668e5bdedecc3 | 10,836 | py | Python | ansible/venv/lib/python2.7/site-packages/ansible/modules/storage/netapp/na_elementsw_network_interfaces.py | gvashchenkolineate/gvashchenkolineate_infra_trytravis | 0fb18850afe0d8609693ba4b23f29c7cda17d97f | [
"MIT"
] | 17 | 2017-06-07T23:15:01.000Z | 2021-08-30T14:32:36.000Z | ansible/ansible/modules/storage/netapp/na_elementsw_network_interfaces.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 9 | 2017-06-25T03:31:52.000Z | 2021-05-17T23:43:12.000Z | ansible/ansible/modules/storage/netapp/na_elementsw_network_interfaces.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 3 | 2018-05-26T21:31:22.000Z | 2019-09-28T17:00:45.000Z | #!/usr/bin/python
# (c) 2018, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or
# https://www.gnu.org/licenses/gpl-3.0.txt)
'''
Element Software Node Network Interfaces - Bond 1G and 10G configuration
'''
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METAD... | 36.362416 | 131 | 0.612126 | #!/usr/bin/python
# (c) 2018, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or
# https://www.gnu.org/licenses/gpl-3.0.txt)
'''
Element Software Node Network Interfaces - Bond 1G and 10G configuration
'''
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METAD... | 0 | 0 | 0 | 5,669 | 0 | 0 | 0 | 83 | 116 |
327abded97602fd35ed2f1723e9822ff6005624c | 6,589 | py | Python | LoRaSensorMonitoringServer.py | TomNaiser/LoRa-Sensor-Monitoring | 090edce9a14147b9eb62a2e065e02e248c41be84 | [
"MIT"
] | null | null | null | LoRaSensorMonitoringServer.py | TomNaiser/LoRa-Sensor-Monitoring | 090edce9a14147b9eb62a2e065e02e248c41be84 | [
"MIT"
] | null | null | null | LoRaSensorMonitoringServer.py | TomNaiser/LoRa-Sensor-Monitoring | 090edce9a14147b9eb62a2e065e02e248c41be84 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 28 10:14:42 2020
@author: Thomas
"""
#!/usr/bin/env python
#Lora Base Server
#Reads Data from the ESP32 Lora Receiver via serial Port and generates a CSV file for each LoRa sensor client
import time
import serial
import datetime
... | 36.403315 | 141 | 0.595386 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 28 10:14:42 2020
@author: Thomas
"""
#!/usr/bin/env python
#Lora Base Server
#Reads Data from the ESP32 Lora Receiver via serial Port and generates a CSV file for each LoRa sensor client
import time
import serial
import re
import datetime
import os.path
class sens... | 0 | 0 | 0 | 349 | 0 | 1,334 | 0 | -19 | 181 |
a606e61515f9330200bf5c9be613695f8e5414ce | 7,873 | py | Python | ogs5py/tools/download.py | GeoStat-Framework/ogs5py | 2bc4428c4c485d094e02c129ba5051745df58391 | [
"MIT"
] | 12 | 2018-12-11T15:44:58.000Z | 2022-03-30T19:04:42.000Z | ogs5py/tools/download.py | GeoStat-Framework/ogs5py | 2bc4428c4c485d094e02c129ba5051745df58391 | [
"MIT"
] | 4 | 2019-07-09T17:47:05.000Z | 2021-12-27T07:34:07.000Z | ogs5py/tools/download.py | GeoStat-Framework/ogs5py | 2bc4428c4c485d094e02c129ba5051745df58391 | [
"MIT"
] | 5 | 2019-04-04T19:47:56.000Z | 2021-04-28T21:56:39.000Z | # -*- coding: utf-8 -*-
"""
Downloader for ogs5.
.. currentmodule:: ogs5py.tools.download
Downloader
^^^^^^^^^^
A downloading routine to get the OSG5 executable.
.. autosummary::
download_ogs
add_exe
reset_download
OGS5PY_CONFIG
----
"""
import os
import shutil
import tarfile
import zipfile
from urllib... | 30.87451 | 78 | 0.587578 | # -*- coding: utf-8 -*-
"""
Downloader for ogs5.
.. currentmodule:: ogs5py.tools.download
Downloader
^^^^^^^^^^
A downloading routine to get the OSG5 executable.
.. autosummary::
download_ogs
add_exe
reset_download
OGS5PY_CONFIG
----
"""
import os
import shutil
import tarfile
import zipfile
from urllib... | 0 | 0 | 0 | 204 | 0 | 0 | 0 | 0 | 22 |
181263c57ee32e69218aebc26fb0790bf52e4b8e | 1,788 | py | Python | large-repo-master/test-3/nb14.py | victorsun123/numpy | 1fb036758b4035ab2c132d26f420e5bc3ffc917e | [
"BSD-3-Clause"
] | null | null | null | large-repo-master/test-3/nb14.py | victorsun123/numpy | 1fb036758b4035ab2c132d26f420e5bc3ffc917e | [
"BSD-3-Clause"
] | null | null | null | large-repo-master/test-3/nb14.py | victorsun123/numpy | 1fb036758b4035ab2c132d26f420e5bc3ffc917e | [
"BSD-3-Clause"
] | null | null | null | # Databricks notebook source
INSTGUYIKQEFVDAVPNQI
DFXKJDJFAIGTQDFPNZXIHFBFJBXNSCAQMMDSAPVIFVULKEPYGJRUNILQPXYXVGWBNVBHBWSUEGQTKHMFFROKHGJKPJ
OCRRFSYKRPOYFVBAHSCCPHGHUA
ORMCLMKXZAKDXRSGAXPHGQDBBOGQKFQYRLQQ
AKVWPNWJGXQTKSYPSLNOUXSWVYRQ
YVOFGDXZWZHFASZQCMZFKHUUBCFUILVBZPHAAMMPWQPOCWRGVAHLTM
NCUOQLVTIVWIMABZGYRFYFLMOIUDXEP... | 45.846154 | 91 | 0.97651 | # Databricks notebook source
INSTGUYIKQEFVDAVPNQI
DFXKJDJFAIGTQDFPNZXIHFBFJBXNSCAQMMDSAPVIFVULKEPYGJRUNILQPXYXVGWBNVBHBWSUEGQTKHMFFROKHGJKPJ
OCRRFSYKRPOYFVBAHSCCPHGHUA
ORMCLMKXZAKDXRSGAXPHGQDBBOGQKFQYRLQQ
AKVWPNWJGXQTKSYPSLNOUXSWVYRQ
YVOFGDXZWZHFASZQCMZFKHUUBCFUILVBZPHAAMMPWQPOCWRGVAHLTM
NCUOQLVTIVWIMABZGYRFYFLMOIUDXEP... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
87008688f730d39f20393ab216ba561f7bc783bc | 2,446 | py | Python | hyperbox/networks/bnnas/bn_blocks.py | marsggbo/hyperbox | 91dcd04ad30164bcb12209d818df18961fa3f347 | [
"MIT"
] | 1 | 2022-01-17T00:34:14.000Z | 2022-01-17T00:34:14.000Z | hyperbox/networks/bnnas/bn_blocks.py | marsggbo/hyperbox | 91dcd04ad30164bcb12209d818df18961fa3f347 | [
"MIT"
] | null | null | null | hyperbox/networks/bnnas/bn_blocks.py | marsggbo/hyperbox | 91dcd04ad30164bcb12209d818df18961fa3f347 | [
"MIT"
] | null | null | null | import torch.nn as nn
__all__ = [
'blocks_dict',
'InvertedResidual',
'conv_1x1_bn',
'conv_bn'
]
blocks_dict = {
'k3r3':lambda inp, oup, stride : InvertedResidual(inp, oup, 3, 1, stride, 3),
'k3r6':lambda inp, oup, stride : InvertedResidual(inp, oup, 3, 1, stride, 6),
'k5r3':lambda inp, ou... | 32.613333 | 129 | 0.554374 | import torch
import torch.nn as nn
__all__ = [
'blocks_dict',
'InvertedResidual',
'conv_1x1_bn',
'conv_bn'
]
blocks_dict = {
'k3r3':lambda inp, oup, stride : InvertedResidual(inp, oup, 3, 1, stride, 3),
'k3r6':lambda inp, oup, stride : InvertedResidual(inp, oup, 3, 1, stride, 6),
'k5r3':l... | 0 | 0 | 0 | 1,433 | 0 | 303 | 0 | -9 | 91 |
3c3d8da7b19f669775422aaf440d8177d4613006 | 5,682 | py | Python | experiments/scripts/csv2hdf5_allinone.py | cvelten/DeepSurv | de9b365be6f994cb30eb0a50197930d24e48dee4 | [
"MIT"
] | null | null | null | experiments/scripts/csv2hdf5_allinone.py | cvelten/DeepSurv | de9b365be6f994cb30eb0a50197930d24e48dee4 | [
"MIT"
] | null | null | null | experiments/scripts/csv2hdf5_allinone.py | cvelten/DeepSurv | de9b365be6f994cb30eb0a50197930d24e48dee4 | [
"MIT"
] | null | null | null | import pandas as pd
import os
from argparse import ArgumentParser
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument('ifile_os')
parser.add_argument('ifile_pfs')
# parser.add_argument('-e', '--event_col', default='OSEvent')
# parser.add_argument('-t', '--time_col', default=... | 41.474453 | 118 | 0.656987 | import h5py
import numpy as np
import pandas as pd
import os
from argparse import ArgumentParser
def dataframe_to_deepsurv_ds(df, event_col='Event', time_col='Time'):
# Extract the event and time columns as numpy arrays
e = df[event_col].values.astype(np.int32)
t = df[time_col].values.astype(np.float32)
... | 0 | 0 | 0 | 0 | 0 | 803 | 0 | -13 | 90 |
5802aafb5a9a958a3bfd48a3c740eee759d724b5 | 1,517 | py | Python | francisco-topo/lit101.py | Cyphysecurity/ICS-SDN-1 | c04d9e7bb7ad945166e969e071a2f82fb5bd18bf | [
"MIT"
] | 4 | 2019-12-17T08:59:57.000Z | 2022-01-09T19:52:27.000Z | francisco-topo/lit101.py | Cyphysecurity/ICS-SDN-1 | c04d9e7bb7ad945166e969e071a2f82fb5bd18bf | [
"MIT"
] | 3 | 2020-08-13T16:05:46.000Z | 2021-10-17T07:49:33.000Z | francisco-topo/lit101.py | Cyphysecurity/ICS-SDN-1 | c04d9e7bb7ad945166e969e071a2f82fb5bd18bf | [
"MIT"
] | 4 | 2017-06-14T23:41:50.000Z | 2021-03-01T18:54:03.000Z |
SENSOR_ADDR = IP['lit101']
LIT101 = ('LIT101', 1)
LIT102 = ('LIT102', 1)
if __name__ == '__main__':
lit101 = Lit101(name='lit101',state=STATE,protocol=LIT101_PROTOCOL,memory=GENERIC_DATA,disk=GENERIC_DATA)
| 27.089286 | 109 | 0.633487 | from minicps.devices import PLC
from utils import *
import random
import logging
import time
import socket
import json
import select
import signal
import sys
SENSOR_ADDR = IP['lit101']
LIT101 = ('LIT101', 1)
LIT102 = ('LIT102', 1)
class Lit101(PLC):
def sigint_handler(self, sig, frame):
print "I recei... | 0 | 0 | 0 | 1,119 | 0 | 0 | 0 | -62 | 246 |
25d702540d9307d9ec2607e46d357ccf5efcd861 | 268 | py | Python | workbench/logbook/migrations/0015_remove_loggedcost_project.py | yoshson/workbench | 701558cac3357cd82e4dc99f0fefed12ee81ddc5 | [
"MIT"
] | 15 | 2020-09-02T22:17:34.000Z | 2022-02-01T20:09:10.000Z | workbench/logbook/migrations/0015_remove_loggedcost_project.py | yoshson/workbench | 701558cac3357cd82e4dc99f0fefed12ee81ddc5 | [
"MIT"
] | 18 | 2020-01-08T15:28:26.000Z | 2022-02-28T02:46:41.000Z | workbench/logbook/migrations/0015_remove_loggedcost_project.py | yoshson/workbench | 701558cac3357cd82e4dc99f0fefed12ee81ddc5 | [
"MIT"
] | 8 | 2020-09-29T08:00:24.000Z | 2022-01-16T11:58:19.000Z | # Generated by Django 2.2.5 on 2019-09-15 10:58
| 24.363636 | 82 | 0.742537 | # Generated by Django 2.2.5 on 2019-09-15 10:58
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [("logbook", "0014_auto_20190915_1250")]
operations = [migrations.RemoveField(model_name="loggedcost", name="project")]
| 0 | 0 | 0 | 162 | 0 | 0 | 0 | 11 | 46 |
e2a9aa8f84f161a41350b5252f7f5caf4c6451b5 | 10,445 | py | Python | test.py | Michal-Hubert/backup_dropbox | 6c9c622ce389e789f0eb7aaad16d1ac0b2f688c5 | [
"Apache-2.0"
] | null | null | null | test.py | Michal-Hubert/backup_dropbox | 6c9c622ce389e789f0eb7aaad16d1ac0b2f688c5 | [
"Apache-2.0"
] | null | null | null | test.py | Michal-Hubert/backup_dropbox | 6c9c622ce389e789f0eb7aaad16d1ac0b2f688c5 | [
"Apache-2.0"
] | null | null | null | '''
End to end testing
'''
import shutil
import os
from ConfigParser import SafeConfigParser
import textwrap
import hashlib
import pexpect
import sys
import leveldb
import backup
import tempfile
from backup import dump_database
from myutils import path_leaf
TEST_CONFIG_NAME = "config"
TEST_DROPBOX_NAME = "dropbox"
TES... | 29.094708 | 80 | 0.650742 | '''
End to end testing
'''
import shutil
import os
from ConfigParser import SafeConfigParser
import textwrap
import hashlib
import pexpect
import sys
import leveldb
import backup
import tempfile
from backup import dump_database
from myutils import path_leaf
TEST_CONFIG_NAME = "config"
TEST_DROPBOX_NAME = "dropbox"
TES... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8dd0fb258cc91c20a8c501666b3b19c5e498c313 | 5,170 | py | Python | lookup.py | vlee489/Turnip-Bot | 2571846607d6ca57171325211c5eb6572013c767 | [
"MIT"
] | 5 | 2020-04-19T22:47:28.000Z | 2020-06-01T04:37:12.000Z | lookup.py | vlee489/Turnip-Bot | 2571846607d6ca57171325211c5eb6572013c767 | [
"MIT"
] | 7 | 2020-04-21T23:25:20.000Z | 2021-04-20T07:50:11.000Z | lookup.py | vlee489/Turnip-Bot | 2571846607d6ca57171325211c5eb6572013c767 | [
"MIT"
] | null | null | null | """
This cog deals all the lookup commands
"""
from dotenv import load_dotenv
load_dotenv(".env")
| 44.956522 | 105 | 0.547002 | """
This cog deals all the lookup commands
"""
import asyncio
from discord.ext import commands, tasks
import discord
from lookupAPI import nookipediaAPI, localLookup
import os
from dotenv import load_dotenv
load_dotenv(".env")
class Lookup(commands.Cog):
nookAPI = nookipediaAPI.NookipediaAPI(os.environ.get("nook... | 0 | 4,529 | 0 | 342 | 0 | 23 | 0 | 19 | 156 |
40ea3f70f9ff9d6bc077279cbd34054808da8844 | 2,000 | py | Python | polling_stations/settings/constants/councils.py | smsmith97/UK-Polling-Stations | ecbd98cb99e89e97354da3960b0063aa36181b11 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/settings/constants/councils.py | smsmith97/UK-Polling-Stations | ecbd98cb99e89e97354da3960b0063aa36181b11 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/settings/constants/councils.py | smsmith97/UK-Polling-Stations | ecbd98cb99e89e97354da3960b0063aa36181b11 | [
"BSD-3-Clause"
] | null | null | null | # settings for councils scraper
BOUNDARIES_URL = "https://ons-cache.s3.amazonaws.com/Local_Authority_Districts_April_2019_Boundaries_UK_BFE.geojson"
EC_COUNCIL_CONTACT_DETAILS_API_URL = (
"https://electoralcommission.org.uk/api/v1/data/local-authorities.json"
)
OLD_TO_NEW_MAP = {}
NEW_COUNCILS = []
WELSH_COUNC... | 54.054054 | 116 | 0.722 | # settings for councils scraper
BOUNDARIES_URL = "https://ons-cache.s3.amazonaws.com/Local_Authority_Districts_April_2019_Boundaries_UK_BFE.geojson"
EC_COUNCIL_CONTACT_DETAILS_API_URL = (
"https://electoralcommission.org.uk/api/v1/data/local-authorities.json"
)
OLD_TO_NEW_MAP = {}
NEW_COUNCILS = []
WELSH_COUNC... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7a75459af31c39231b2c99baeb705677f67cbf6 | 8,665 | py | Python | .scripts/make_docs/event_tuples.py | daakru/X2WOTCCommunityHighlander | de544c30d98fd372b8798dd06adb6d3126fac66f | [
"MIT"
] | null | null | null | .scripts/make_docs/event_tuples.py | daakru/X2WOTCCommunityHighlander | de544c30d98fd372b8798dd06adb6d3126fac66f | [
"MIT"
] | null | null | null | .scripts/make_docs/event_tuples.py | daakru/X2WOTCCommunityHighlander | de544c30d98fd372b8798dd06adb6d3126fac66f | [
"MIT"
] | null | null | null | from typing import Optional
import re
_PUNCTUATION = {
"(": _Token(_TokenType.LPAREN),
")": _Token(_TokenType.RPAREN),
"{": _Token(_TokenType.LBRACE),
"}": _Token(_TokenType.RBRACE),
"[": _Token(_TokenType.LBRACK),
"]": _Token(_TokenType.RBRACK),
",": _Token(_TokenType.COMMA),
"... | 27.507937 | 89 | 0.560415 | from enum import Enum
from typing import Iterator, List, Optional, Tuple
import re
class _TokenType(Enum):
LPAREN = 1
RPAREN = 2
LBRACE = 3
RBRACE = 4
LBRACK = 5
RBRACK = 6
KW = 7
IDENT = 8
COMMA = 9
COLON = 10
class _Keyword(Enum):
IN = 1
OUT = 2
INOUT = 3
clas... | 0 | 0 | 0 | 2,247 | 624 | 3,955 | 0 | 23 | 390 |
2224eec49cd0fe31d6ede8185df188a65ec015a2 | 5,380 | py | Python | Assignments/hw4/build_kNN.py | spacemanidol/CLMS572 | f0380de9912c984ec21607cdb3b1f190853c5ca8 | [
"MIT"
] | null | null | null | Assignments/hw4/build_kNN.py | spacemanidol/CLMS572 | f0380de9912c984ec21607cdb3b1f190853c5ca8 | [
"MIT"
] | null | null | null | Assignments/hw4/build_kNN.py | spacemanidol/CLMS572 | f0380de9912c984ec21607cdb3b1f190853c5ca8 | [
"MIT"
] | 1 | 2020-12-26T01:28:41.000Z | 2020-12-26T01:28:41.000Z | import sys
if __name__ == "__main__":
if len(sys.argv) != 6:
print("Usage:build_kNN.py <training_data> <test_data> <k_val> <similarity_func> <sys_output>")
exit(-1)
else:
trainingData, features = readData(sys.argv[1])
testData, _ = readData(sys.argv[2])
candidate, truth =... | 43.387097 | 193 | 0.573048 | import sys
import numpy as np
import math
from collections import Counter
def readData(filename):
labels, features, all_features = [], [], []
with open(filename, 'r') as f:
for l in f:
l = l.strip().split(' ')
featureCount = {}
labels.append(l[0])
for feat... | 0 | 0 | 0 | 0 | 0 | 4,725 | 0 | -3 | 225 |
db5a483b7179a52757b1e303fa5cebe303f5944b | 1,622 | py | Python | pizzeria/workshop/forms.py | Zachary-Jackson/Django-Pizzeria | 5948b10e9e99e7f2e8ffdbe6c0efbb87000808a9 | [
"BSD-2-Clause"
] | 1 | 2021-05-20T04:48:25.000Z | 2021-05-20T04:48:25.000Z | pizzeria/workshop/forms.py | Zachary-Jackson/Django-Pizzeria | 5948b10e9e99e7f2e8ffdbe6c0efbb87000808a9 | [
"BSD-2-Clause"
] | null | null | null | pizzeria/workshop/forms.py | Zachary-Jackson/Django-Pizzeria | 5948b10e9e99e7f2e8ffdbe6c0efbb87000808a9 | [
"BSD-2-Clause"
] | null | null | null |
STATES = [
('AL', 'AL'), ('AK', 'AK'), ('AZ', 'AZ'), ('AR', 'AR'), ('CA', 'CA'),
('CO', 'CO'), ('CT', 'CT'), ('DC', 'DC'), ('DE', 'DE'), ('FL', 'FL'),
('GA', 'GA'), ('HI', 'HI'), ('ID', 'ID'), ('IL', 'IL'), ('IN', 'IN'),
('IA', 'IA'), ('KS', 'KS'), ('KY', 'KY'), ('LA', 'LA'), ('ME', 'ME'),
('MD', '... | 36.044444 | 77 | 0.459926 | from django import forms
from . import models
STATES = [
('AL', 'AL'), ('AK', 'AK'), ('AZ', 'AZ'), ('AR', 'AR'), ('CA', 'CA'),
('CO', 'CO'), ('CT', 'CT'), ('DC', 'DC'), ('DE', 'DE'), ('FL', 'FL'),
('GA', 'GA'), ('HI', 'HI'), ('ID', 'ID'), ('IL', 'IL'), ('IN', 'IN'),
('IA', 'IA'), ('KS', 'KS'), ('KY', ... | 0 | 0 | 0 | 755 | 0 | 0 | 0 | 2 | 91 |
69c717b6efcc64167d465109f16e86f9f2d5efd3 | 530 | py | Python | server/src/tests/samples/classes2.py | jhutchings1/pyright | 2b8593a58a2aecc95dac49cce92fc16678cd4e14 | [
"MIT"
] | null | null | null | server/src/tests/samples/classes2.py | jhutchings1/pyright | 2b8593a58a2aecc95dac49cce92fc16678cd4e14 | [
"MIT"
] | 1 | 2021-08-31T20:37:43.000Z | 2021-08-31T20:37:43.000Z | server/src/tests/samples/classes2.py | jhutchings1/pyright | 2b8593a58a2aecc95dac49cce92fc16678cd4e14 | [
"MIT"
] | null | null | null | # This sample tests the reportIncompatibleMethodOverride
# configuration option.
| 24.090909 | 71 | 0.684906 | # This sample tests the reportIncompatibleMethodOverride
# configuration option.
class ParentClass():
def my_method1(self, a: int):
return 1
def my_method2(self, a: int, b: int):
return 1
class ChildClass(ParentClass):
# This should generate an error if reportIncompatibleMethodOverride
... | 0 | 0 | 0 | 402 | 0 | 0 | 0 | 0 | 46 |
adcf45cbcc17af82fe53acf28aef59d0c6beea07 | 1,105 | py | Python | firstapp/rancher_api.py | mudong1991/DevOpsApi | 8cc880c7c628f04492427fe73a1a684eadb94e84 | [
"Apache-2.0"
] | 1 | 2017-12-22T04:12:10.000Z | 2017-12-22T04:12:10.000Z | firstapp/rancher_api.py | mudong1991/DevOpsApi | 8cc880c7c628f04492427fe73a1a684eadb94e84 | [
"Apache-2.0"
] | 1 | 2020-01-08T01:49:03.000Z | 2020-01-08T01:49:03.000Z | firstapp/rancher_api.py | mudong1991/DevOpsApi | 8cc880c7c628f04492427fe73a1a684eadb94e84 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# file: rancher_api
# author: Mundy
# date: 2017/9/1 0001
"""
rancher api
"""
# --------requests--------
time_out = 8
headers = {
'content-type': 'application/json',
'Accept': 'application/json',
}
# receiver_hooks api
| 23.020833 | 78 | 0.697738 | # -*- coding:utf-8 -*-
# file: rancher_api
# author: Mundy
# date: 2017/9/1 0001
"""
rancher api调用
"""
import json
import requests
from django.conf import settings
# --------requests设置--------
time_out = 8
headers = {
'content-type': 'application/json',
'Accept': 'application/json',
}
def get_response_json(r... | 18 | 0 | 0 | 0 | 0 | 715 | 0 | -5 | 134 |
9629e7a7a9bef340102ccfb4ccbdd868576c42f6 | 7,336 | py | Python | cirq-core/cirq/sim/clifford/act_on_clifford_tableau_args.py | livenson/Cirq | b2fa642895089fba385999d675ab65d57a53e0df | [
"Apache-2.0"
] | 1 | 2022-02-02T07:13:54.000Z | 2022-02-02T07:13:54.000Z | cirq-core/cirq/sim/clifford/act_on_clifford_tableau_args.py | bradyb/Cirq | 610b0d4ea3a7862169610797266734c844ddcc1f | [
"Apache-2.0"
] | null | null | null | cirq-core/cirq/sim/clifford/act_on_clifford_tableau_args.py | bradyb/Cirq | 610b0d4ea3a7862169610797266734c844ddcc1f | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 40.98324 | 91 | 0.594193 | # Copyright 2018 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 0 | 0 | 0 | 6,363 | 0 | 0 | 0 | 92 | 139 |
b9ae65bc8f8cdccfa8ec57ea6f590f702a485148 | 5,875 | py | Python | openGaussBase/testcase/CONNECTORS/PYTHON/PYOG/Opengauss_Function_Connect_Python_Case0005.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/CONNECTORS/PYTHON/PYOG/Opengauss_Function_Connect_Python_Case0005.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | openGaussBase/testcase/CONNECTORS/PYTHON/PYOG/Opengauss_Function_Connect_Python_Case0005.py | opengauss-mirror/Yat | aef107a8304b94e5d99b4f1f36eb46755eb8919e | [
"MulanPSL-1.0"
] | null | null | null | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 37.660256 | 84 | 0.621787 | """
Copyright (c) 2022 Huawei Technologies Co.,Ltd.
openGauss is licensed under Mulan PSL v2.
You can use this software according to the terms and conditions of the Mulan PSL v2.
You may obtain a copy of Mulan PSL v2 at:
http://license.coscl.org.cn/MulanPSL2
THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, W... | 417 | 0 | 0 | 4,667 | 0 | 0 | 0 | 168 | 245 |
961d257aa7ee40fc569bdad4eceb6e9d5d1eb49c | 6,178 | py | Python | main/environment.py | zzong2006/space-filling-curve-with-RF-learning | 30823745dae91240c0977185fb1831c9b4771a40 | [
"MIT"
] | 1 | 2021-05-15T23:27:58.000Z | 2021-05-15T23:27:58.000Z | main/environment.py | zzong2006/space-filling-curve-with-RF-learning | 30823745dae91240c0977185fb1831c9b4771a40 | [
"MIT"
] | null | null | null | main/environment.py | zzong2006/space-filling-curve-with-RF-learning | 30823745dae91240c0977185fb1831c9b4771a40 | [
"MIT"
] | null | null | null |
if '__main__' == __name__:
test_env = CurveEnvironment()
for curve_name in ['z', 'hilbert', 'zig-zag']:
test_env = CurveEnvironment(init_curve=curve_name)
print(test_env.get_l2_norm_locality())
print(test_env.get_reward())
| 33.215054 | 111 | 0.570411 | from itertools import combinations
import numpy as np
import matplotlib.pyplot as plt
from utils import *
import configparser
import torch
class CurveEnvironment:
"""
Curve 환경, 강화 학습 모델이 생성한 action을 기반으로 커브의 순서를 바꾸고, 바뀐 커브를 기반으로 reward를 측정
"""
def __init__(self, order=3, dim=2, data_size=10, ini... | 1,203 | 212 | 0 | 5,148 | 0 | 0 | 0 | 7 | 156 |
145d5556f43decc68e22fba23de0af8fd6b8a78f | 806 | py | Python | template_engine/jinja2_filters.py | samuelcouch/the-blue-alliance | 8c7977071dbe9d9745ffdfbb03e37bd016792511 | [
"MIT"
] | null | null | null | template_engine/jinja2_filters.py | samuelcouch/the-blue-alliance | 8c7977071dbe9d9745ffdfbb03e37bd016792511 | [
"MIT"
] | null | null | null | template_engine/jinja2_filters.py | samuelcouch/the-blue-alliance | 8c7977071dbe9d9745ffdfbb03e37bd016792511 | [
"MIT"
] | null | null | null |
def strftime(datetime, formatstr):
"""
Uses Python's strftime with some tweaks
"""
return datetime.strftime(formatstr).lstrip("0").replace(" 0", " ")
# def slugify(s):
# """
# Use Django's slugify method
# """
# return defaultfilters.slugify(s)
| 17.148936 | 70 | 0.611663 | from email import utils
import re
import time
import urllib
def digits(s):
if not s:
return ''
if type(s) is int:
return s
return re.sub('[^0-9]', '', s)
def floatformat(num, num_decimals):
return "%.{}f".format(num_decimals) % num
def strftime(datetime, formatstr):
"""
Use... | 0 | 0 | 0 | 0 | 0 | 345 | 0 | -28 | 203 |
4d02e68b8ef0c65c77338fd1b55733f17d364293 | 12,812 | py | Python | custom_components/openmediavault/omv_controller.py | firstof9/homeassistant-openmediavault | 3a0cd5ae34b045e90b06b15760329e987c87b5fd | [
"Apache-2.0"
] | 41 | 2020-04-20T15:57:14.000Z | 2022-03-24T18:16:28.000Z | custom_components/openmediavault/omv_controller.py | firstof9/homeassistant-openmediavault | 3a0cd5ae34b045e90b06b15760329e987c87b5fd | [
"Apache-2.0"
] | 68 | 2020-04-27T08:36:47.000Z | 2022-03-31T07:04:47.000Z | custom_components/openmediavault/omv_controller.py | firstof9/homeassistant-openmediavault | 3a0cd5ae34b045e90b06b15760329e987c87b5fd | [
"Apache-2.0"
] | 13 | 2020-09-11T12:45:51.000Z | 2022-03-30T06:58:05.000Z | """OpenMediaVault Controller."""
# ---------------------------
# OMVControllerData
# ---------------------------
| 36.501425 | 90 | 0.46956 | """OpenMediaVault Controller."""
import asyncio
import time
from datetime import timedelta
from homeassistant.const import (
CONF_HOST,
CONF_NAME,
CONF_PASSWORD,
CONF_SSL,
CONF_USERNAME,
CONF_VERIFY_SSL,
)
from homeassistant.core import callback
from homeassistant.helpers.dispatcher import asy... | 0 | 329 | 1,502 | 10,375 | 0 | 0 | 0 | 245 | 245 |
246e0749cdd1714c65c0961416623be200a020e0 | 3,849 | py | Python | trees/trees.py | patinousward/machine-learning | 124b6c2e1a317f21238985ee4b74b638f5358b81 | [
"MIT"
] | null | null | null | trees/trees.py | patinousward/machine-learning | 124b6c2e1a317f21238985ee4b74b638f5358b81 | [
"MIT"
] | null | null | null | trees/trees.py | patinousward/machine-learning | 124b6c2e1a317f21238985ee4b74b638f5358b81 | [
"MIT"
] | null | null | null |
#
# axis index value
#
#
| 37.009615 | 97 | 0.665887 | from math import log
import operator
# 计算香农熵
def calcShannonEnt(dataSet):
numEntries = len(dataSet)
labelCounts = {}
for featVec in dataSet:
currentLabel = featVec[-1] # 数据的最后一列
if currentLabel not in labelCounts.keys():
labelCounts[currentLabel] = 0 # 默认值为0
labelCounts... | 1,938 | 0 | 0 | 0 | 0 | 2,991 | 0 | -7 | 179 |
504a306dad3ee3153b338e1d454699034e9ee967 | 1,850 | py | Python | code/Solution_0052_totalNQueens.py | qizhenkang/myLeetCode | cb9edce69567eba9d96ce756507a5a7ac6e74293 | [
"MIT"
] | null | null | null | code/Solution_0052_totalNQueens.py | qizhenkang/myLeetCode | cb9edce69567eba9d96ce756507a5a7ac6e74293 | [
"MIT"
] | null | null | null | code/Solution_0052_totalNQueens.py | qizhenkang/myLeetCode | cb9edce69567eba9d96ce756507a5a7ac6e74293 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Oct 16 20:00:44 2021
@author: qizhe
"""
if __name__ == '__main__':
solu = Solution()
input_List = [[5,1,9,11],[2,4,8,10],[13,3,6,7],[15,14,12,16]]
input_List = [[0,1,2,3],[4,5,6,7],[8,9,10,11],[12,13,14,15]]
# input_List = 1
result = solu.solveNQueen... | 27.61194 | 114 | 0.463784 | # -*- coding: utf-8 -*-
"""
Created on Sat Oct 16 20:00:44 2021
@author: qizhe
"""
class Solution:
def solveNQueens(self, n: int):
"""
典型的回溯问题
读题目，他要的是，所有解，不是找到一个就可以
第三个思路对了，但性能很差，想办法剪枝一下，感觉主要问题在于valid 的恢复上面
答案：
核心思路：
1、答案搞了3个集合，也就是三个约束来构造，就很简单了，然后优... | 972 | 0 | 0 | 1,111 | 0 | 0 | 0 | 0 | 23 |
5ebadfa1130eda16e18e9a569211fa885b32c271 | 1,835 | py | Python | preprocess_hdf5_data.py | trane293/multimodal_brain_synthesis | 29291f091c15121707fd0fdcb1245d2ad8b944e2 | [
"MIT"
] | null | null | null | preprocess_hdf5_data.py | trane293/multimodal_brain_synthesis | 29291f091c15121707fd0fdcb1245d2ad8b944e2 | [
"MIT"
] | null | null | null | preprocess_hdf5_data.py | trane293/multimodal_brain_synthesis | 29291f091c15121707fd0fdcb1245d2ad8b944e2 | [
"MIT"
] | null | null | null | import h5py
import numpy as np
'''
if 't1.'
i = 0
seq_name = 't1'
elif 't2.' in imagefile:
i = 1
seq_name = 't2'
elif 't1ce.' in imagefile:
i = 2
seq_name = 't1ce'
elif 'flair.' in imagefile:
i = 3
seq_name = 'flair'
'''
import platform
# to make the code portable even on cedar,you ne... | 28.230769 | 112 | 0.683379 | import h5py
import numpy as np
'''
if 't1.'
i = 0
seq_name = 't1'
elif 't2.' in imagefile:
i = 1
seq_name = 't2'
elif 't1ce.' in imagefile:
i = 2
seq_name = 't1ce'
elif 'flair.' in imagefile:
i = 3
seq_name = 'flair'
'''
import platform
# to make the code portable even on cedar,you ne... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e81417a710f461b78ac0a327b034ccca776c6883 | 1,035 | py | Python | tests/test_hessian.py | blevine37/pySpawn17 | 4fa65cfc3b4d399bcb586506782d00f86b453139 | [
"MIT"
] | 18 | 2018-03-30T16:11:13.000Z | 2021-08-22T18:57:12.000Z | tests/test_hessian.py | dfedorov1988/MCDMS | 215e18327ad9f806d82eb54d101d657d0ac29bd6 | [
"MIT"
] | 3 | 2018-03-30T17:26:51.000Z | 2021-08-17T08:49:24.000Z | tests/test_hessian.py | dfedorov1988/MCDMS | 215e18327ad9f806d82eb54d101d657d0ac29bd6 | [
"MIT"
] | 6 | 2018-11-21T15:30:38.000Z | 2021-07-05T05:37:15.000Z | import numpy as np
import pyspawn
pyspawn.import_methods.into_hessian(pyspawn.potential.terachem_cas)
hess = pyspawn.hessian()
ndims = 18
istate = 0
pos = np.asarray([ 0.000000000, 0.000000000, 0.101944554,
0.000000000, 0.000000000, 2.598055446,
0.000... | 23 | 67 | 0.547826 | import numpy as np
import pyspawn
pyspawn.import_methods.into_hessian(pyspawn.potential.terachem_cas)
hess = pyspawn.hessian()
ndims = 18
istate = 0
pos = np.asarray([ 0.000000000, 0.000000000, 0.101944554,
0.000000000, 0.000000000, 2.598055446,
0.000... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0037bdf517203ae654e04612f90ba818f7dbac6d | 2,434 | py | Python | setup.py | mmcauliffe/Conch | 7668612d7a610d0f5ae3332f990e71b26c5e8b34 | [
"MIT"
] | 33 | 2015-06-10T19:36:54.000Z | 2017-09-18T23:57:46.000Z | setup.py | mmcauliffe/Conch | 7668612d7a610d0f5ae3332f990e71b26c5e8b34 | [
"MIT"
] | 5 | 2015-03-22T07:05:21.000Z | 2017-08-16T03:48:19.000Z | setup.py | mmcauliffe/Conch | 7668612d7a610d0f5ae3332f990e71b26c5e8b34 | [
"MIT"
] | 10 | 2015-04-29T05:51:51.000Z | 2017-07-12T18:52:18.000Z | from setuptools import setup
import conch
if __name__ == '__main__':
setup(name='conch-sounds',
version=conch.__version__,
description='Analyze acoustic similarity in Python',
classifiers=[
'Development Status :: 3 - Alpha',
'Programming Language :: Pyt... | 34.28169 | 91 | 0.527116 | import sys
import os
from setuptools import setup
from setuptools.command.test import test as TestCommand
import conch
def readme():
with open('README.md') as f:
return f.read()
class PyTest(TestCommand):
def finalize_options(self):
TestCommand.finalize_options(self)
self.test_args ... | 0 | 0 | 0 | 508 | 0 | 49 | 0 | 11 | 112 |
2dc21830f816f4bcf684cb12098052219e1f3815 | 6,400 | py | Python | router/run.py | Financial-Times/paasport | 9f5ec95b99f03c06dc800907f6f0750f5eec7a35 | [
"MIT"
] | 2 | 2015-04-21T10:50:15.000Z | 2015-04-22T15:48:45.000Z | router/run.py | Financial-Times/paasport | 9f5ec95b99f03c06dc800907f6f0750f5eec7a35 | [
"MIT"
] | null | null | null | router/run.py | Financial-Times/paasport | 9f5ec95b99f03c06dc800907f6f0750f5eec7a35 | [
"MIT"
] | 1 | 2020-07-30T14:50:38.000Z | 2020-07-30T14:50:38.000Z | #!/usr/bin/python
# Layer 7 Router
#
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
import json, re, os, subprocess
PORT_NUMBER = 8080
# Writes config for a given service
globaladdons = {
'example': [
'ec2-52-16-13-243.eu-west-1.compute.amazonaws.com',
],
}
for name, machines in globaladdons.i... | 29.090909 | 175 | 0.66375 | #!/usr/bin/python
# Layer 7 Router
#
from BaseHTTPServer import BaseHTTPRequestHandler,HTTPServer
import json, re, os, subprocess
PORT_NUMBER = 8080
class UserError(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
def writedefaultvcl():
vcl = "vcl 4.0;\n\... | 0 | 0 | 0 | 2,264 | 0 | 3,233 | 0 | -1 | 90 |
ba89dd4cb6362cf1ebc95ae0ce94f8263fa0dede | 2,621 | py | Python | docs/build_cli_docs.py | TedrosGitHub/TSA-yatsm | 8e328f366c8fd94d5cc57cd2cc42080c43d1f391 | [
"MIT"
] | 59 | 2015-02-03T19:56:17.000Z | 2022-03-17T13:45:23.000Z | docs/build_cli_docs.py | TedrosGitHub/TSA-yatsm | 8e328f366c8fd94d5cc57cd2cc42080c43d1f391 | [
"MIT"
] | 97 | 2015-02-12T05:18:38.000Z | 2020-06-09T16:10:38.000Z | docs/build_cli_docs.py | TedrosGitHub/TSA-yatsm | 8e328f366c8fd94d5cc57cd2cc42080c43d1f391 | [
"MIT"
] | 35 | 2015-02-27T19:43:23.000Z | 2021-06-21T02:29:14.000Z | #!/usr/bin/env python
""" Build CLI help pages to RST for dynamic inclusion of help messages
This solves the problem of not being able to install YATSM on readthedocs
because of its complicated dependencies without the need to mock out
basically every import. Just run this script before pushing any new changes
to the ... | 30.126437 | 79 | 0.638306 | #!/usr/bin/env python
""" Build CLI help pages to RST for dynamic inclusion of help messages
This solves the problem of not being able to install YATSM on readthedocs
because of its complicated dependencies without the need to mock out
basically every import. Just run this script before pushing any new changes
to the ... | 0 | 394 | 0 | 0 | 0 | 504 | 0 | -2 | 136 |
2e975b39468ca0ba983a654b851314f2a36a1b84 | 151 | py | Python | Python3/DebuggingAndErrorHandling/try_except.py | norbertosanchezdichi/TIL | 2e9719ddd288022f53b094a42679e849bdbcc625 | [
"MIT"
] | null | null | null | Python3/DebuggingAndErrorHandling/try_except.py | norbertosanchezdichi/TIL | 2e9719ddd288022f53b094a42679e849bdbcc625 | [
"MIT"
] | null | null | null | Python3/DebuggingAndErrorHandling/try_except.py | norbertosanchezdichi/TIL | 2e9719ddd288022f53b094a42679e849bdbcc625 | [
"MIT"
] | null | null | null | try:
foobar
except: #"catch all", highly discourage due to not being able to identify what went wrong
print("PROBLEM")
print("after the try") | 30.2 | 91 | 0.708609 | try:
foobar
except: #"catch all", highly discourage due to not being able to identify what went wrong
print("PROBLEM")
print("after the try") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2e644c0780b72db35e413e1216b0bdcb7a87ce73 | 3,895 | py | Python | src/onnxruntime_numpy/einsum_helper.py | gf712/onnxruntime-numpy | 752ecb90e97295384c96ff339165c461ba4caf87 | [
"MIT"
] | 2 | 2021-04-24T07:50:31.000Z | 2021-09-07T18:56:51.000Z | src/onnxruntime_numpy/einsum_helper.py | gf712/onnxruntime-numpy | 752ecb90e97295384c96ff339165c461ba4caf87 | [
"MIT"
] | null | null | null | src/onnxruntime_numpy/einsum_helper.py | gf712/onnxruntime-numpy | 752ecb90e97295384c96ff339165c461ba4caf87 | [
"MIT"
] | null | null | null | import re
import string
# obtained and modified from
# https://github.com/tensorflow/tensorflow/blob/590d6eef7e91a6a7392c8ffffb7b58f2e0c8bc6b/tensorflow/python/ops/special_math_ops.py#L311
def einsum_parse_and_resolve_equation(equation, input_shapes):
"""Helper for einsum() that splits/resolves inputs & outputs.... | 45.290698 | 135 | 0.618485 | import re
import string
# obtained and modified from
# https://github.com/tensorflow/tensorflow/blob/590d6eef7e91a6a7392c8ffffb7b58f2e0c8bc6b/tensorflow/python/ops/special_math_ops.py#L311
def einsum_parse_and_resolve_equation(equation, input_shapes):
"""Helper for einsum() that splits/resolves inputs & outputs.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3a061df687e9af5bce3beb7af1dbd2d6be9f9a0c | 2,837 | py | Python | src/lib/gcode_preview.py | utitankaspk/SPKCAM | a1ac8121e93faaecd0132d16b3c3a5ae7fa84343 | [
"Apache-2.0"
] | 1 | 2018-12-05T22:44:48.000Z | 2018-12-05T22:44:48.000Z | src/lib/gcode_preview.py | utitankaspk/SPKCAM | a1ac8121e93faaecd0132d16b3c3a5ae7fa84343 | [
"Apache-2.0"
] | null | null | null | src/lib/gcode_preview.py | utitankaspk/SPKCAM | a1ac8121e93faaecd0132d16b3c3a5ae7fa84343 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
color_palette = {"cut":(153,204,255),"plunge":(254,184,0),"point":(153,204,255)}
LAYER_NAME = "vector_from_gcode"
if __name__=="__main__":
main() | 31.175824 | 113 | 0.602749 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import rhinoscriptsyntax as rs
import Rhino
import os
color_palette = {"cut":(153,204,255),"plunge":(254,184,0),"point":(153,204,255)}
LAYER_NAME = "vector_from_gcode"
def parse_line(line):
line = line.lower().replace("\n","")
point = []
if line.sta... | 3 | 0 | 0 | 0 | 0 | 2,477 | 0 | -12 | 167 |
fae7b0157a18871e061420658fff8d1d8058b250 | 460 | py | Python | dictionary_from_book5.py | AmitSuresh/learning-python | f1ea5b9f3659f21504b1b0e452c03239b03cde85 | [
"MIT"
] | null | null | null | dictionary_from_book5.py | AmitSuresh/learning-python | f1ea5b9f3659f21504b1b0e452c03239b03cde85 | [
"MIT"
] | null | null | null | dictionary_from_book5.py | AmitSuresh/learning-python | f1ea5b9f3659f21504b1b0e452c03239b03cde85 | [
"MIT"
] | null | null | null | #A dictionary in a Dictionary
users = {
'aeinstein':{
'first':'albert',
'last':'einstein',
'location':'princeton',
},
'mcurie':{
'first':'mary',
'last':'curie',
'location':'paris',
},
}
for username,user_info in users.items():
print(f'Username: {username}')
full_name=f"{user_info['firs... | 24.210526 | 55 | 0.621739 | #A dictionary in a Dictionary
users = {
'aeinstein':{
'first':'albert',
'last':'einstein',
'location':'princeton',
},
'mcurie':{
'first':'mary',
'last':'curie',
'location':'paris',
},
}
for username,user_info in users.items():
print(f'Username: {username}')
full_name=f"{user_info['firs... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9308ccd54291ef3ae5d3f45ec6555591f94d6baa | 36,724 | py | Python | adi_study_watch/nrf5_sdk_15.2.0/validation/common.py | ArrowElectronics/Vital-Signs-Monitoring | ba43fe9a116d94170561433910fd7bffba5726e7 | [
"Unlicense"
] | 5 | 2021-06-13T17:11:19.000Z | 2021-12-01T18:20:38.000Z | adi_study_watch/nrf5_sdk_15.2.0/validation/common.py | ArrowElectronics/Vital-Signs-Monitoring | ba43fe9a116d94170561433910fd7bffba5726e7 | [
"Unlicense"
] | null | null | null | adi_study_watch/nrf5_sdk_15.2.0/validation/common.py | ArrowElectronics/Vital-Signs-Monitoring | ba43fe9a116d94170561433910fd7bffba5726e7 | [
"Unlicense"
] | 1 | 2022-01-08T15:01:44.000Z | 2022-01-08T15:01:44.000Z | import os
try:
import tkinter
import time
import yaml
from datetime import datetime
from matplotlib import pyplot as plt
from robot.libraries.BuiltIn import BuiltIn
import shutil
import inspect
import logging
import easygui
import subprocess
from utils.cli_map import CLI... | 35.176245 | 124 | 0.61856 | import os
import sys
try:
import tkinter
import time
import yaml
from tkinter import messagebox
from utils.serial_comm import SerialIface
from datetime import datetime
from utils.test_utils import util_logger
from matplotlib import pyplot as plt
from robot.libraries.BuiltIn import B... | 0 | 807 | 0 | 246 | 0 | 2,115 | 0 | 38 | 495 |
f5950857c677b000860033c3cad22749b7050775 | 181,473 | py | Python | chesstab/tools/chesstab-4-1-1_castling-option-correction.py | RogerMarsh/chesstab | 01d375dc6bf025b621612a84513e55c4640a78ad | [
"BSD-3-Clause"
] | null | null | null | chesstab/tools/chesstab-4-1-1_castling-option-correction.py | RogerMarsh/chesstab | 01d375dc6bf025b621612a84513e55c4640a78ad | [
"BSD-3-Clause"
] | null | null | null | chesstab/tools/chesstab-4-1-1_castling-option-correction.py | RogerMarsh/chesstab | 01d375dc6bf025b621612a84513e55c4640a78ad | [
"BSD-3-Clause"
] | null | null | null | # chesstab-4-1-1_castling-option-correction.py
# Copyright 2020 Roger Marsh
# Licence: See LICENCE (BSD licence)
"""Read games from a ChessTab database and report games with FENs where the
castling options are not consistent with the piece placement, and attempt
correction on request.
The database must be compatible ... | 34.738323 | 80 | 0.555603 | # chesstab-4-1-1_castling-option-correction.py
# Copyright 2020 Roger Marsh
# Licence: See LICENCE (BSD licence)
"""Read games from a ChessTab database and report games with FENs where the
castling options are not consistent with the piece placement, and attempt
correction on request.
The database must be compatible ... | 0 | 518 | 0 | 150,066 | 0 | 1,484 | 0 | 530 | 542 |
95267cbca2f7b75442e0d4693416ef0ee8ad422a | 4,439 | py | Python | game/Hangman2.0.py | archu2020/python-2 | 19c626ca9fd37168db8a7ac075fd80c8e2971313 | [
"Apache-2.0"
] | 48 | 2017-12-24T12:19:55.000Z | 2022-02-26T13:14:27.000Z | game/Hangman2.0.py | 17610178081/python | 3975c678d985c468deecd03560d882e9d316bb63 | [
"Apache-2.0"
] | 3 | 2018-12-05T08:48:14.000Z | 2020-07-29T01:56:16.000Z | game/Hangman2.0.py | 17610178081/python | 3975c678d985c468deecd03560d882e9d316bb63 | [
"Apache-2.0"
] | 113 | 2017-08-09T03:10:04.000Z | 2022-03-26T16:05:01.000Z | '''
made by YeahKun in 2017-7-22 11:50:42
2.0
'''
HANGMANPICS = [
'''
=====
+---+
| |
|
|
|
|
=====''',
'''
=====
+---+
| |
O |
|
|
|
=====''',
'''
=====
+---+
| |
O |
| |
|
|
=====''',
'''
======
+---+
... | 22.195 | 161 | 0.478937 | '''
made by YeahKun in 2017-7-22 11:50:42
猜字谜游戏2.0
增加了提示，扩展了单词的种类和数量
'''
import random
HANGMANPICS = [
'''
=====
+---+
| |
|
|
|
|
=====''',
'''
=====
+---+
| |
O |
|
|
|
=====''',
'''
=====
+---+
| |
O |
| |
|
|
... | 735 | 0 | 0 | 0 | 0 | 1,255 | 0 | -8 | 122 |
ed5cb3b2ba71d67a9a4146c3d8fa1453b913f27b | 13,743 | py | Python | dt-learn.py | atasipanda/Decision-Trees | 6719d5d4ff282b8858f0bf8222af6660a3c113d2 | [
"MIT"
] | null | null | null | dt-learn.py | atasipanda/Decision-Trees | 6719d5d4ff282b8858f0bf8222af6660a3c113d2 | [
"MIT"
] | null | null | null | dt-learn.py | atasipanda/Decision-Trees | 6719d5d4ff282b8858f0bf8222af6660a3c113d2 | [
"MIT"
] | null | null | null | from collections import OrderedDict
features = OrderedDict({})
trainingData = []
testFeatures = OrderedDict({})
testData = []
class_attribute = []
# returns
# feature index of the best feature
# information gain by that feature in data
# -----------------------------------------------------------------------... | 34.27182 | 150 | 0.594266 | import sys
import math
import re
from collections import OrderedDict
import random
import numpy
import matplotlib.pyplot as plt
features = OrderedDict({})
trainingData = []
testFeatures = OrderedDict({})
testData = []
class_attribute = []
def parse_file(filename):
global lines, f, lines_read, l, m, fvalues, values,... | 0 | 0 | 0 | 3,534 | 0 | 8,968 | 0 | -40 | 497 |
787f01363f8f53606c734d695875b0fc99b9907f | 392 | py | Python | code/class.py | spartam/basic_python_course | 5e940c2363ba01880386244ad17692b4593611f8 | [
"MIT"
] | null | null | null | code/class.py | spartam/basic_python_course | 5e940c2363ba01880386244ad17692b4593611f8 | [
"MIT"
] | null | null | null | code/class.py | spartam/basic_python_course | 5e940c2363ba01880386244ad17692b4593611f8 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
P = coordinate()
print(P)
P = coordinate(x=2)
print(P)
P = coordinate(y=3)
print(P)
P = coordinate(x=5, y=7)
print(P)
| 14.518519 | 42 | 0.57398 |
class coordinate:
x = 0
y = 0
def __init__(self, **kwargs):
keys = kwargs.keys()
if 'x' in keys:
self.x = kwargs['x']
if 'y' in keys:
self.y = kwargs['y']
def __str__(self):
return 'x : %s\ty: %s' %(self.x, self.y)
if __name__ == '__main__':
P = coordinate()
print(P)
P = coordinate(x=2)
print... | 0 | 0 | 0 | 213 | 0 | 0 | 0 | 0 | 23 |
3d084a7fbfa072a06df92b18c57c17c769087e2c | 623 | py | Python | ClickKaleidoscope.py | avinja/python-samples | 0f4f94dbc1a886926ad31719a4f34b21c56f2056 | [
"Apache-2.0"
] | null | null | null | ClickKaleidoscope.py | avinja/python-samples | 0f4f94dbc1a886926ad31719a4f34b21c56f2056 | [
"Apache-2.0"
] | null | null | null | ClickKaleidoscope.py | avinja/python-samples | 0f4f94dbc1a886926ad31719a4f34b21c56f2056 | [
"Apache-2.0"
] | null | null | null | #ClickKaleidoscope.py
import turtle
t = turtle.Pen()
t.speed(0)
t.hideturtle()
turtle.bgcolor("black")
colors = ["red", "yellow", "blue", "green", "orange", "purple",
"white", "gray"]
turtle.onscreenclick(draw_kaleido)
| 23.074074 | 63 | 0.598716 | #ClickKaleidoscope.py
import random
import turtle
t = turtle.Pen()
t.speed(0)
t.hideturtle()
turtle.bgcolor("black")
colors = ["red", "yellow", "blue", "green", "orange", "purple",
"white", "gray"]
def draw_kaleido(x,y):
t.pencolor(random.choice(colors))
size = random.randint(10,40)
draw_sp... | 0 | 0 | 0 | 0 | 0 | 334 | 0 | -8 | 67 |
0823e3f1378a191c96f2c6e83021f577431436d6 | 812 | py | Python | tests/submodules/run.py | jonnyrocks/pyangbind | 7a7c6df6ddad7cbec941800431840253b5e2f186 | [
"Apache-2.0"
] | 176 | 2015-06-17T15:44:07.000Z | 2022-03-18T01:16:19.000Z | tests/submodules/run.py | jonnyrocks/pyangbind | 7a7c6df6ddad7cbec941800431840253b5e2f186 | [
"Apache-2.0"
] | 245 | 2015-05-29T07:04:13.000Z | 2022-03-25T14:44:37.000Z | tests/submodules/run.py | jonnyrocks/pyangbind | 7a7c6df6ddad7cbec941800431840253b5e2f186 | [
"Apache-2.0"
] | 118 | 2015-07-02T07:04:36.000Z | 2022-03-31T20:32:38.000Z | #!/usr/bin/env python
import unittest
if __name__ == "__main__":
unittest.main()
| 23.2 | 55 | 0.644089 | #!/usr/bin/env python
import unittest
from tests.base import PyangBindTestCase
class PyangbindSubmoduleTests(PyangBindTestCase):
yang_files = ["mod-a.yang"]
pyang_flags = ["--use-extmethods"]
def setUp(self):
self.mod_a = self.bindings.mod_a()
def test_001_check_correct_import(self):
... | 0 | 0 | 0 | 658 | 0 | 0 | 0 | 19 | 46 |
c33950bf8d2032710832c6024b8e90c72bb403b7 | 5,340 | py | Python | src/eduid_userdb/support/models.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | src/eduid_userdb/support/models.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | 12 | 2015-08-28T12:05:32.000Z | 2020-06-23T13:31:29.000Z | src/eduid_userdb/support/models.py | SUNET/eduid-userdb | 5970880caf0b0e2bdee6c23869ef287acc87af2a | [
"BSD-2-Clause-FreeBSD"
] | 2 | 2016-10-24T06:37:33.000Z | 2016-11-21T11:39:39.000Z | # -*- coding: utf-8 -*-
__author__ = 'lundberg'
# Models for filtering out unneeded or unwanted data from eduID database objects
| 28.55615 | 113 | 0.63633 | # -*- coding: utf-8 -*-
from copy import deepcopy
from typing import List, Optional
__author__ = 'lundberg'
# Models for filtering out unneeded or unwanted data from eduID database objects
class GenericFilterDict(dict):
add_keys: Optional[List[str]] = None
remove_keys: Optional[List[str]] = None
def __... | 0 | 0 | 0 | 4,790 | 0 | 0 | 0 | 16 | 388 |