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529f282819a2131b75db1eea0ad03813c7a9c2d6 | 6,339 | py | Python | Classes/import_all.py | Superomeg4/pyleecan | 2b695b5f39e77475a07aa0ea89489fb0a9659337 | [
"Apache-2.0"
] | null | null | null | Classes/import_all.py | Superomeg4/pyleecan | 2b695b5f39e77475a07aa0ea89489fb0a9659337 | [
"Apache-2.0"
] | null | null | null | Classes/import_all.py | Superomeg4/pyleecan | 2b695b5f39e77475a07aa0ea89489fb0a9659337 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
| 47.661654 | 66 | 0.874586 | # -*- coding: utf-8 -*-
from pyleecan.Classes.Arc import Arc
from pyleecan.Classes.Arc1 import Arc1
from pyleecan.Classes.Arc2 import Arc2
from pyleecan.Classes.Arc3 import Arc3
from pyleecan.Classes.Circle import Circle
from pyleecan.Classes.CondType11 import CondType11
from pyleecan.Classes.CondType12 import CondTyp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,454 | 2,861 |
548cfea669e8fb927564f7dc739bc04dbf8d3554 | 1,258 | py | Python | pyday_social_network/urls.py | 6desislava6/PyDay | e43d05ac83297a16c12fef6b55c00df2571e3e81 | [
"MIT"
] | 2 | 2016-07-09T08:23:51.000Z | 2016-07-14T14:50:42.000Z | pyday_social_network/urls.py | 6desislava6/PyDay | e43d05ac83297a16c12fef6b55c00df2571e3e81 | [
"MIT"
] | null | null | null | pyday_social_network/urls.py | 6desislava6/PyDay | e43d05ac83297a16c12fef6b55c00df2571e3e81 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from pyday_social_network import views
app_name = 'pyday_social_network'
urlpatterns = [
url(r'^upload_picture/$', views.UploadPictureView.as_view(), name='upload_picture'),
url(r'^upload_song/$', views.UploadSongView.as_view(), name='upload_song'),
url(r'^register/$', vie... | 44.928571 | 88 | 0.662162 | from django.conf.urls import url
from django.conf.urls import patterns
from pyday_social_network import views
app_name = 'pyday_social_network'
urlpatterns = [
url(r'^upload_picture/$', views.UploadPictureView.as_view(), name='upload_picture'),
url(r'^upload_song/$', views.UploadSongView.as_view(), name='uplo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 22 |
5895a904ec4b8da5fce8dfd9fd8fe6e872d7fac6 | 24,701 | py | Python | examples/xray_scratch_calculations/refraction_map.py | zhouzhouxpyf/CFN-softbio | 21e4f4845e7a49c97f4ed2b0aa78a7eb831f6bcc | [
"BSD-3-Clause"
] | 13 | 2018-04-17T06:35:20.000Z | 2021-09-22T08:49:47.000Z | examples/xray_scratch_calculations/refraction_map.py | zhouzhouxpyf/CFN-softbio | 21e4f4845e7a49c97f4ed2b0aa78a7eb831f6bcc | [
"BSD-3-Clause"
] | 14 | 2018-04-18T01:05:57.000Z | 2020-11-05T21:57:09.000Z | examples/xray_scratch_calculations/refraction_map.py | zhouzhouxpyf/CFN-softbio | 21e4f4845e7a49c97f4ed2b0aa78a7eb831f6bcc | [
"BSD-3-Clause"
] | 9 | 2017-05-26T14:47:38.000Z | 2021-03-24T02:44:59.000Z | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# Imports
########################################
import sys, os
SciAnalysis_PATH='/home/kyager/current/code/SciAnalysis/main/'
SciAnalysis_PATH in sys.path or sys.path.append(SciAnalysis_PATH)
#from SciAnalysis.XSAnalysis.Data import *
#from SciAnalysis.XSAnalysis import P... | 35.902616 | 215 | 0.573135 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# Imports
########################################
import sys, os
SciAnalysis_PATH='/home/kyager/current/code/SciAnalysis/main/'
SciAnalysis_PATH in sys.path or sys.path.append(SciAnalysis_PATH)
import glob
from SciAnalysis import tools
from SciAnalysis.Data import *
#from ... | 3 | 0 | 0 | 8,257 | 0 | 206 | 0 | 7 | 187 |
10acd9132720328571c3908ad6b06c43f32bd7a8 | 963 | py | Python | notebook/numpy_image_mask.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 174 | 2018-05-30T21:14:50.000Z | 2022-03-25T07:59:37.000Z | notebook/numpy_image_mask.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 5 | 2019-08-10T03:22:02.000Z | 2021-07-12T20:31:17.000Z | notebook/numpy_image_mask.py | vhn0912/python-snippets | 80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038 | [
"MIT"
] | 53 | 2018-04-27T05:26:35.000Z | 2022-03-25T07:59:37.000Z | import numpy as np
from PIL import Image
src = np.array(Image.open('data/src/lena.jpg'))
mask = np.array(Image.open('data/src/horse_r.png').resize(src.shape[1::-1], Image.BILINEAR))
print(mask.dtype, mask.min(), mask.max())
# uint8 0 255
mask = mask / 255
print(mask.dtype, mask.min(), mask.max())
# float64 0.0 1.0
... | 22.395349 | 105 | 0.686397 | import numpy as np
from PIL import Image
src = np.array(Image.open('data/src/lena.jpg'))
mask = np.array(Image.open('data/src/horse_r.png').resize(src.shape[1::-1], Image.BILINEAR))
print(mask.dtype, mask.min(), mask.max())
# uint8 0 255
mask = mask / 255
print(mask.dtype, mask.min(), mask.max())
# float64 0.0 1.0
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
956ea26d7123131485243c9992b3b8c107a48e43 | 1,031 | py | Python | Python/Py_R_consistency_check.py | am5113/covid19model | 27f121d246e7a5b0c06077ea2abd3807539d0ac8 | [
"MIT"
] | null | null | null | Python/Py_R_consistency_check.py | am5113/covid19model | 27f121d246e7a5b0c06077ea2abd3807539d0ac8 | [
"MIT"
] | null | null | null | Python/Py_R_consistency_check.py | am5113/covid19model | 27f121d246e7a5b0c06077ea2abd3807539d0ac8 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import dill as pickle
import rpy2.robjects as robjects
readRDS = robjects.r['readRDS']
r_stan_data = readRDS('r_stan_data.rds')
with open('python_stan_data.pkl', 'rb') as file:
py_stan_data = pickle.load(file)
py_stan_data.keys()
for key in py_stan_data.key... | 22.911111 | 67 | 0.646945 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import dill as pickle
import rpy2.robjects as robjects
readRDS = robjects.r['readRDS']
r_stan_data = readRDS('r_stan_data.rds')
with open('python_stan_data.pkl', 'rb') as file:
py_stan_data = pickle.load(file)
py_stan_data.keys()
def mych... | 0 | 0 | 0 | 0 | 0 | 478 | 0 | -2 | 45 |
07a75698e3e7e51d7959fd79517d9197b3673170 | 7,124 | py | Python | nlcpy/testing/condition.py | SX-Aurora/nlcpy | 0a53eec8778073bc48b12687b7ce37ab2bf2b7e0 | [
"BSD-3-Clause"
] | 11 | 2020-07-31T02:21:55.000Z | 2022-03-10T03:12:11.000Z | nlcpy/testing/condition.py | SX-Aurora/nlcpy | 0a53eec8778073bc48b12687b7ce37ab2bf2b7e0 | [
"BSD-3-Clause"
] | null | null | null | nlcpy/testing/condition.py | SX-Aurora/nlcpy | 0a53eec8778073bc48b12687b7ce37ab2bf2b7e0 | [
"BSD-3-Clause"
] | null | null | null | #
# * The source code in this file is based on the soure code of CuPy.
#
# # NLCPy License #
#
# Copyright (c) 2020-2021 NEC Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are ... | 40.477273 | 88 | 0.641353 | #
# * The source code in this file is based on the soure code of CuPy.
#
# # NLCPy License #
#
# Copyright (c) 2020-2021 NEC Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are ... | 0 | 2,105 | 0 | 119 | 0 | 69 | 0 | -11 | 95 |
5adbc66bc378264f38cf5bb27869daee46704ee5 | 730 | py | Python | nc_programs/training/ens_trainer.py | plin1112/ANI-Tools | 76280c918fc79fee8c266b8bc9ab57f86104ec99 | [
"MIT"
] | 8 | 2018-10-30T16:48:44.000Z | 2021-03-08T01:44:41.000Z | nc_programs/training/ens_trainer.py | plin1112/ANI-Tools | 76280c918fc79fee8c266b8bc9ab57f86104ec99 | [
"MIT"
] | null | null | null | nc_programs/training/ens_trainer.py | plin1112/ANI-Tools | 76280c918fc79fee8c266b8bc9ab57f86104ec99 | [
"MIT"
] | 5 | 2018-04-05T15:51:12.000Z | 2019-05-23T21:38:31.000Z | import anialtools as alt
nwdir = '/home/jsmith48/scratch/ccsd_extrapolation/ccsd_train/tl_train_dhl_7/'
h5dir = '/home/jsmith48/scratch/ccsd_extrapolation/h5files/train/cmb/'
Nnets = 8 # networks in ensemble
Nblock = 16 # Number of blocks in split
Nbvald = 2 # number of valid blocks
Nbtest = 1 # number of test blocks... | 33.181818 | 84 | 0.710959 | import anialtools as alt
nwdir = '/home/jsmith48/scratch/ccsd_extrapolation/ccsd_train/tl_train_dhl_7/'
h5dir = '/home/jsmith48/scratch/ccsd_extrapolation/h5files/train/cmb/'
Nnets = 8 # networks in ensemble
Nblock = 16 # Number of blocks in split
Nbvald = 2 # number of valid blocks
Nbtest = 1 # number of test blocks... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b2b2feabe5d611666638e0832f0331af26f3942e | 1,442 | py | Python | libcst/codemod/__init__.py | hoduchieu01/LibCST | 23af2cb45e1f7647f1604404df5f6e5e87b2e42b | [
"Apache-2.0"
] | 3 | 2021-03-29T19:21:08.000Z | 2021-12-31T09:30:11.000Z | libcst/codemod/__init__.py | hoduchieu01/LibCST | 23af2cb45e1f7647f1604404df5f6e5e87b2e42b | [
"Apache-2.0"
] | 1 | 2021-08-20T19:03:09.000Z | 2021-08-20T19:03:09.000Z | libcst/codemod/__init__.py | hoduchieu01/LibCST | 23af2cb45e1f7647f1604404df5f6e5e87b2e42b | [
"Apache-2.0"
] | 1 | 2020-09-18T06:37:51.000Z | 2020-09-18T06:37:51.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
from libcst.codemod._cli import (ParallelTransformResult, diff_code, exec_transform_with_prettyprint, gather_files, parallel_exec_transform_w... | 25.298246 | 80 | 0.742718 | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
from libcst.codemod._cli import (
ParallelTransformResult,
diff_code,
exec_transform_with_prettyprint,
gather_files,
para... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0 |
0b5491a670a673eeee3886154c592f4304bf6978 | 396 | py | Python | 2018/day_15/classes.py | sunjerry019/adventOfCode18 | 6970ece25e54b9f90c4aadd1a5d8569bd32f403b | [
"MIT"
] | null | null | null | 2018/day_15/classes.py | sunjerry019/adventOfCode18 | 6970ece25e54b9f90c4aadd1a5d8569bd32f403b | [
"MIT"
] | null | null | null | 2018/day_15/classes.py | sunjerry019/adventOfCode18 | 6970ece25e54b9f90c4aadd1a5d8569bd32f403b | [
"MIT"
] | null | null | null | #!/bin/python3
| 28.285714 | 92 | 0.593434 | #!/bin/python3
class myPath():
def __init__(self, startCoord, endCoord, distance, path):
# path is an array of coordinates to move to
self.start = startCoord
self.end = endCoord
self.distance = distance
self.path = path
pass
def __repr__(self):
return "<... | 0 | 0 | 0 | 358 | 0 | 0 | 0 | 0 | 23 |
4f08ffd6a51e8d59f2eef0f1e52829d2ee55cc69 | 1,014 | py | Python | filter_errors.py | slowwavesleep/NeuralMorphemeSegmenter | b32f47ecc380262755bf436cf793f35901919f0f | [
"MIT"
] | null | null | null | filter_errors.py | slowwavesleep/NeuralMorphemeSegmenter | b32f47ecc380262755bf436cf793f35901919f0f | [
"MIT"
] | null | null | null | filter_errors.py | slowwavesleep/NeuralMorphemeSegmenter | b32f47ecc380262755bf436cf793f35901919f0f | [
"MIT"
] | null | null | null | import json
from pathlib import Path
import tarfile
PREDICTIONS_DIR = "./data/predictions"
folder = Path(PREDICTIONS_DIR)
pred_paths = folder.glob("**/*.jsonl")
compiled_errors_path = "error_analysis/errors.jsonl"
zipped_path = "error_analysis/errors.tar.gz"
with open(compiled_errors_path, "w") as file:
pass
f... | 32.709677 | 120 | 0.667653 | import json
from pathlib import Path
import tarfile
PREDICTIONS_DIR = "./data/predictions"
folder = Path(PREDICTIONS_DIR)
pred_paths = folder.glob("**/*.jsonl")
compiled_errors_path = "error_analysis/errors.jsonl"
zipped_path = "error_analysis/errors.tar.gz"
with open(compiled_errors_path, "w") as file:
pass
f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d0015db79a366c602b4986e19d78fcb3e9386ca6 | 2,075 | py | Python | huey_legacy/importer.py | yipstar/surf_python | 60bb52c89de8d00afe9a1e51cc69639344c4c807 | [
"Apache-2.0"
] | null | null | null | huey_legacy/importer.py | yipstar/surf_python | 60bb52c89de8d00afe9a1e51cc69639344c4c807 | [
"Apache-2.0"
] | 3 | 2021-05-20T18:59:03.000Z | 2022-02-26T08:44:03.000Z | huey_legacy/importer.py | yipstar/surf_python | 60bb52c89de8d00afe9a1e51cc69639344c4c807 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
import os
import datetime
import requests
from huey.models import Buoy, BuoyRealtimeWaveDetail, BuoyRawSpectralWaveData
id ).order_by(BuoyRealtimeWaveDetail.ts.desc()).first()
realtime_url = f"https://www.ndbc.noaa.gov/data/realtime2/{station_id}.spec"
df = pd.read_csv(r... | 35.169492 | 161 | 0.686265 | import numpy as np
import pandas as pd
import os
import datetime
import requests
from huey.models import Buoy, BuoyRealtimeWaveDetail, BuoyRawSpectralWaveData
def import_buoy_realtime_wave_detail(db_session):
station_id = "46025"
buoy = db_session.query(Buoy).filter(Buoy.station_id == station_id).first()
... | 0 | 0 | 0 | 0 | 0 | 1,166 | 0 | 0 | 46 |
33e05356ed0cd880f8649de33c74f42fbb5dc5fa | 7,680 | py | Python | NLTK/fns.py | etholpalmer/Deep-Learning-homework | c6c341e5b716f24c47d9a8b5179c0d767cabb153 | [
"ADSL"
] | null | null | null | NLTK/fns.py | etholpalmer/Deep-Learning-homework | c6c341e5b716f24c47d9a8b5179c0d767cabb153 | [
"ADSL"
] | null | null | null | NLTK/fns.py | etholpalmer/Deep-Learning-homework | c6c341e5b716f24c47d9a8b5179c0d767cabb153 | [
"ADSL"
] | null | null | null | # Initial imports
import nltk
import pandas as pd
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from nltk.tokenize import word_tokenize
nltk.download('stopwords')
nltk.download('punkt')
nltk.download('wordnet')
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer, PorterStemmer
from... | 34.751131 | 124 | 0.661719 | # Initial imports
from calendar import day_abbr
import nltk
import pandas as pd
from pathlib import Path
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from nltk.tokenize import word_tokenize, sent_tokenize
nltk.download('stopwords')
nltk.download('punkt')
nltk.download('wordnet')
from nltk.corpus import... | 0 | 0 | 0 | 0 | 0 | 553 | 0 | 14 | 132 |
7169c5f3fc657450ddc70de2b2c1345f07cc29c7 | 4,798 | py | Python | examples/scripts/04_benchmarking.py | wilsonify/sktime | 68395d44bd3f46b0801c506e23e889dd54999d29 | [
"BSD-3-Clause"
] | null | null | null | examples/scripts/04_benchmarking.py | wilsonify/sktime | 68395d44bd3f46b0801c506e23e889dd54999d29 | [
"BSD-3-Clause"
] | null | null | null | examples/scripts/04_benchmarking.py | wilsonify/sktime | 68395d44bd3f46b0801c506e23e889dd54999d29 | [
"BSD-3-Clause"
] | null | null | null | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.11.1
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Benchmarking with sktime
#
# The benchmarking modu... | 36.075188 | 376 | 0.758024 | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.11.1
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Benchmarking with sktime
#
# The benchmarking modu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 |
3633436e60503902f2c90eb313bc015a9f19f634 | 4,588 | py | Python | neural_network_visualize.py | ahijevyc/NSC_objects | 322728a71ec011b681b0038e9dcd86df1f73b2fd | [
"MIT"
] | null | null | null | neural_network_visualize.py | ahijevyc/NSC_objects | 322728a71ec011b681b0038e9dcd86df1f73b2fd | [
"MIT"
] | null | null | null | neural_network_visualize.py | ahijevyc/NSC_objects | 322728a71ec011b681b0038e9dcd86df1f73b2fd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import matplotlib
matplotlib.use('Agg')
import sys
from keras.models import load_model
### NEURAL NETWORK PARAMETERS ###
nn_params = { 'num_layers': 1, 'num_neurons': [ int(sys.argv[1]) ], 'dropout': float(sys.argv[2]), 'lr': 0.001, 'num_epochs': 10, \
'report_window_space':[ 120 ... | 42.481481 | 278 | 0.68374 | #!/usr/bin/env python
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm, ListedColormap,BoundaryNorm
import numpy as np
import datetime as dt
import sys, os, pickle
from scipy.ndimage.filters import gaussian_filter
import pandas as pd
from mpl_toolkits.basema... | 0 | 0 | 0 | 0 | 0 | 2,065 | 0 | 333 | 491 |
6a3c3aacea318ea067ca6fe637ae56e6e52ee5ac | 1,041 | py | Python | setup.py | indiasnetwork/Fortimanager_API_py | 371a1714e6d1c46c6ed3d7b179b8554f0e22eb91 | [
"MIT"
] | 1 | 2020-08-17T17:29:51.000Z | 2020-08-17T17:29:51.000Z | setup.py | indiasnetwork/Fortimanager_API_py | 371a1714e6d1c46c6ed3d7b179b8554f0e22eb91 | [
"MIT"
] | null | null | null | setup.py | indiasnetwork/Fortimanager_API_py | 371a1714e6d1c46c6ed3d7b179b8554f0e22eb91 | [
"MIT"
] | 1 | 2020-08-27T23:51:12.000Z | 2020-08-27T23:51:12.000Z | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='pyFortiManagerAPI',
description='A Python wrapper for the FortiManager REST API',
version='0.1.6',
py_modules=["pyFortiManagerAPI"],
package_dir={'': 'src'},
keywords=['Fortimanager', ... | 35.896552 | 102 | 0.646494 | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='pyFortiManagerAPI',
description='A Python wrapper for the FortiManager REST API',
version='0.1.6',
py_modules=["pyFortiManagerAPI"],
package_dir={'': 'src'},
keywords=['Fortimanager', ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1e538c0435f863cc98fe4837d5f70861dee01ff5 | 5,293 | py | Python | tests/test_flight_parsing.py | FergM/flight_tables | 8d446f9714aa41a5cfd6e720a4696df677522659 | [
"MIT"
] | 1 | 2020-02-02T00:50:33.000Z | 2020-02-02T00:50:33.000Z | tests/test_flight_parsing.py | FergM/FlightTimes | 8d446f9714aa41a5cfd6e720a4696df677522659 | [
"MIT"
] | 3 | 2020-07-06T17:15:31.000Z | 2020-12-29T12:08:07.000Z | tests/test_flight_parsing.py | FergM/FlightTimes | 8d446f9714aa41a5cfd6e720a4696df677522659 | [
"MIT"
] | 1 | 2020-07-08T14:27:53.000Z | 2020-07-08T14:27:53.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 45.62931 | 124 | 0.597393 | from datetime import datetime
import unittest
from flight_tables.flight_parsing import Flight, ParsedFlights
class SampleData(object):
def __init__(self):
self.test_flight_departed_1 = {'actual_datetime': datetime(2020, 1, 30, 15, 15),
'code_share_type': 'mai... | 0 | 0 | 0 | 5,067 | 0 | 0 | 0 | 49 | 114 |
25ec21d8f21b42c5e9af9a855d9d5223b791ff35 | 410 | py | Python | resources/migrations/0003_auto_20201022_2010.py | auxfuse/ci-hackathon-app | 87d5ad7aae33c15f535ceed28e1657a014159516 | [
"MIT"
] | 11 | 2020-10-06T13:50:46.000Z | 2021-02-27T20:19:17.000Z | resources/migrations/0003_auto_20201022_2010.py | auxfuse/ci-hackathon-app | 87d5ad7aae33c15f535ceed28e1657a014159516 | [
"MIT"
] | 174 | 2020-10-13T18:25:34.000Z | 2022-01-17T09:49:18.000Z | resources/migrations/0003_auto_20201022_2010.py | auxfuse/ci-hackathon-app | 87d5ad7aae33c15f535ceed28e1657a014159516 | [
"MIT"
] | 46 | 2020-10-14T11:27:20.000Z | 2022-01-31T17:48:12.000Z | # Generated by Django 3.1.1 on 2020-10-22 20:10
| 21.578947 | 63 | 0.609756 | # Generated by Django 3.1.1 on 2020-10-22 20:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('resources', '0002_resource_description'),
]
operations = [
migrations.AlterField(
model_name='resource',
name='descr... | 0 | 0 | 0 | 296 | 0 | 0 | 0 | 19 | 46 |
e760ccc95f3d2af10148d10396bfac95795a98b1 | 1,413 | py | Python | library/python/pysandesh/util.py | atsgen/contrail-sandesh | 857c483697b88da94cd11ecfe2df3247c902bbb3 | [
"Apache-2.0"
] | 8 | 2015-01-08T17:36:08.000Z | 2019-09-18T01:49:18.000Z | library/python/pysandesh/util.py | atsgen/contrail-sandesh | 857c483697b88da94cd11ecfe2df3247c902bbb3 | [
"Apache-2.0"
] | 4 | 2015-01-12T21:26:04.000Z | 2020-12-22T15:48:55.000Z | library/python/pysandesh/util.py | atsgen/contrail-sandesh | 857c483697b88da94cd11ecfe2df3247c902bbb3 | [
"Apache-2.0"
] | 35 | 2015-02-26T18:19:18.000Z | 2020-02-05T09:49:47.000Z | #
# Copyright (c) 2013 Juniper Networks, Inc. All rights reserved.
#
#
# util
#
import sys
import traceback
# end UTCTimestampUsec
# end UTCTimestampUsecToString
# end enum
def import_class(import_str):
"""Returns a class from a string including module and class."""
mod_str, _sep, class_str = import_str.rp... | 25.232143 | 72 | 0.657466 | #
# Copyright (c) 2013 Juniper Networks, Inc. All rights reserved.
#
#
# util
#
import datetime
import sys
import traceback
import collections
def UTCTimestampUsec():
epoch = datetime.datetime.utcfromtimestamp(0)
now = datetime.datetime.utcnow()
delta = now-epoch
return (delta.microseconds +
... | 0 | 38 | 0 | 170 | 0 | 436 | 0 | -9 | 137 |
fa176fcdd078f451a56a5679dd274bde5c3bc421 | 780 | py | Python | SW-Academy/leetcode_twosum.py | Luann9711/NDD_study | 3ba3a8bf31e1da07531b526e873ec5865d91fda0 | [
"Unlicense"
] | null | null | null | SW-Academy/leetcode_twosum.py | Luann9711/NDD_study | 3ba3a8bf31e1da07531b526e873ec5865d91fda0 | [
"Unlicense"
] | 6 | 2022-01-17T01:58:51.000Z | 2022-02-17T06:20:35.000Z | SW-Academy/leetcode_twosum.py | Luann9711/NDD_study | 3ba3a8bf31e1da07531b526e873ec5865d91fda0 | [
"Unlicense"
] | 5 | 2022-01-16T04:15:14.000Z | 2022-01-16T05:22:29.000Z | # -*- coding: utf-8 -*-
"""leetcode_twosum.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1RPnZuejWl1-nL1k0Q0m7BXYbwQduQJaJ
"""
# : https://leetcode.com/problems/two-sum/ | 25.16129 | 77 | 0.535897 | # -*- coding: utf-8 -*-
"""leetcode_twosum.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1RPnZuejWl1-nL1k0Q0m7BXYbwQduQJaJ
"""
# 문제: https://leetcode.com/problems/two-sum/
class Solution(object):
from copy import deepcopy
def twoS... | 6 | 0 | 0 | 510 | 0 | 0 | 0 | 0 | 23 |
f620b14338e61be682d35b0543506d9c7f9a1c6d | 905 | py | Python | manim/utils/unit.py | PhotonSpheres/manim | 7399c24b33095e29633fd75460d13eae5703cba9 | [
"MIT"
] | 9,497 | 2020-05-19T04:05:51.000Z | 2022-03-31T19:00:02.000Z | manim/utils/unit.py | PhotonSpheres/manim | 7399c24b33095e29633fd75460d13eae5703cba9 | [
"MIT"
] | 2,052 | 2020-05-19T03:35:26.000Z | 2022-03-31T16:18:06.000Z | manim/utils/unit.py | PhotonSpheres/manim | 7399c24b33095e29633fd75460d13eae5703cba9 | [
"MIT"
] | 1,016 | 2020-05-20T01:16:11.000Z | 2022-03-30T16:47:14.000Z | """Implement the Unit class."""
from .. import config, constants
__all__ = ["Pixels", "Degrees", "Munits", "Percent"]
Pixels = _PixelUnits()
Degrees = constants.PI / 180
Munits = 1
| 24.459459 | 70 | 0.653039 | """Implement the Unit class."""
import numpy as np
from .. import config, constants
__all__ = ["Pixels", "Degrees", "Munits", "Percent"]
class _PixelUnits:
def __mul__(self, val):
return val * config.frame_width / config.pixel_width
def __rmul__(self, val):
return val * config.frame_width ... | 0 | 0 | 0 | 652 | 0 | 0 | 0 | -3 | 69 |
bfbb083ccfc3212dd159cce801faf0983417efc0 | 606 | py | Python | main_functional_msci_ric.py | ginkgodango/lgs | ffdd86e87b7859a76f5f0a355161ab63c4cd4f2e | [
"MIT"
] | 1 | 2022-02-15T23:52:19.000Z | 2022-02-15T23:52:19.000Z | main_functional_msci_ric.py | ginkgodango/lgs | ffdd86e87b7859a76f5f0a355161ab63c4cd4f2e | [
"MIT"
] | 1 | 2021-02-18T08:44:01.000Z | 2021-02-18T08:44:56.000Z | main_functional_msci_ric.py | ginkgodango/lgs | ffdd86e87b7859a76f5f0a355161ab63c4cd4f2e | [
"MIT"
] | null | null | null | import os
ric_folders_endswith = (
'core_dm_daily_c_d_rif',
'core_em_daily_d_rif',
'scap_dm_daily_c_d_rif',
'scap_em_daily_d_rif'
)
ric_files_endswith = (
'CORE_DM_ALL_SECURITY_CODE_DAILY_D_RIF',
'CORE_EM_ALL_SECURITY_CODE_DAILY_D_RIF',
'SCAP_DM_ALL_SECURITY_CODE_DAILY_D_RIF',
'SCAP_E... | 25.25 | 99 | 0.759076 | import os
import pandas as pd
ric_folders_endswith = (
'core_dm_daily_c_d_rif',
'core_em_daily_d_rif',
'scap_dm_daily_c_d_rif',
'scap_em_daily_d_rif'
)
ric_files_endswith = (
'CORE_DM_ALL_SECURITY_CODE_DAILY_D_RIF',
'CORE_EM_ALL_SECURITY_CODE_DAILY_D_RIF',
'SCAP_DM_ALL_SECURITY_CODE_DAILY... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
a0980ed51b20ccf2249a4e328db2599201fe3137 | 7,753 | py | Python | pyha/common/complex.py | gasparka/pyha | 60d9bbfd6075e7548d670d05317d64bc2a1a19ee | [
"Apache-2.0"
] | 6 | 2017-05-18T18:57:07.000Z | 2020-08-06T11:23:34.000Z | pyha/common/complex.py | gasparka/pyha | 60d9bbfd6075e7548d670d05317d64bc2a1a19ee | [
"Apache-2.0"
] | 607 | 2017-05-10T12:51:54.000Z | 2022-03-31T18:08:15.000Z | pyha/common/complex.py | gasparka/pyha | 60d9bbfd6075e7548d670d05317d64bc2a1a19ee | [
"Apache-2.0"
] | 1 | 2019-03-20T13:57:46.000Z | 2019-03-20T13:57:46.000Z | import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger('complex')
default_complex = Complex(0, 0, -17, overflow_style='saturate', round_style='round')
| 31.51626 | 125 | 0.572811 | import logging
import math
from pyha.common.context_managers import SimPath
from pyha.common.fixed_point import Sfix
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger('complex')
class Complex:
"""
Complex number with ``.real`` and ``.imag`` elements. Default type is ``Complex(left=0, right=-... | 0 | 206 | 0 | 7,240 | 0 | 0 | 0 | 36 | 90 |
214e4427d3f84f8525fb64a098839c41a2954226 | 562 | py | Python | proxypool/crawlers/public/cool-proxy.py | youttiao/ProxyPool | d2a22535dd46978a2514ab816d22186217cb2535 | [
"MIT"
] | null | null | null | proxypool/crawlers/public/cool-proxy.py | youttiao/ProxyPool | d2a22535dd46978a2514ab816d22186217cb2535 | [
"MIT"
] | null | null | null | proxypool/crawlers/public/cool-proxy.py | youttiao/ProxyPool | d2a22535dd46978a2514ab816d22186217cb2535 | [
"MIT"
] | null | null | null |
BASE_URL = 'https://cool-proxy.net/proxies.json'
if __name__ == '__main__':
crawler = CoolproxyCrawler()
for proxy in crawler.crawl():
print(proxy)
| 21.615385 | 48 | 0.615658 | from proxypool.schemas.proxy import Proxy
from proxypool.crawlers.base import BaseCrawler
import json
BASE_URL = 'https://cool-proxy.net/proxies.json'
class CoolproxyCrawler(BaseCrawler):
"""
https://cool-proxy.net/
"""
urls = [BASE_URL]
def parse(self, html):
r = json.loads(html)
... | 0 | 0 | 0 | 269 | 0 | 0 | 0 | 36 | 89 |
7be62f43114fb71d4448232010d53f24107f0946 | 4,255 | py | Python | src/svphase/vis/test_pred_accuracy.py | l337x911/inphadel | 7d5ad58d90d745ed82226a8b0b983875cbe1d26e | [
"CC-BY-3.0"
] | 3 | 2015-11-20T02:27:23.000Z | 2020-04-26T07:19:18.000Z | src/svphase/vis/test_pred_accuracy.py | l337x911/inphadel | 7d5ad58d90d745ed82226a8b0b983875cbe1d26e | [
"CC-BY-3.0"
] | null | null | null | src/svphase/vis/test_pred_accuracy.py | l337x911/inphadel | 7d5ad58d90d745ed82226a8b0b983875cbe1d26e | [
"CC-BY-3.0"
] | null | null | null |
#def _get_model_and_version(model_stat):
# fname = os.path.basename(model_stat).split('.')
# return fname[0], '.'.join(fname[1:3])
if __name__=='__main__':
import argparse
parser = argparse.ArgumentParser(description='Plot accuracies for each class from a truth file and a set of predictions')
parser.add_argume... | 37.654867 | 170 | 0.699177 | import os
import numpy as np
import pandas as pd
import matplotlib as mpl
from matplotlib import pyplot as plt
from svphase.utils.config import FONT, COLORS
from svphase.learn.evaluation import ClassLabel
#def _get_model_and_version(model_stat):
# fname = os.path.basename(model_stat).split('.')
# return fname[0], '.'.... | 0 | 0 | 0 | 0 | 0 | 3,372 | 0 | 51 | 177 |
d5bbb33a164b7fd520c2680f749966dd727ec608 | 1,174 | py | Python | Chapter08/Ch08_Code/UnitTestsEnglish.py | mr4dsd43/Python-GUI-Programming-Cookbook-Second-Edition | 18e4632106169991e9b75680bdd7250c9d77c3be | [
"MIT"
] | 2 | 2021-01-12T03:13:29.000Z | 2021-01-12T03:13:31.000Z | Chapter08/Ch08_Code/UnitTestsEnglish.py | mr4dsd43/Python-GUI-Programming-Cookbook-Second-Edition | 18e4632106169991e9b75680bdd7250c9d77c3be | [
"MIT"
] | null | null | null | Chapter08/Ch08_Code/UnitTestsEnglish.py | mr4dsd43/Python-GUI-Programming-Cookbook-Second-Edition | 18e4632106169991e9b75680bdd7250c9d77c3be | [
"MIT"
] | 1 | 2022-02-22T02:06:32.000Z | 2022-02-22T02:06:32.000Z | '''
May 2017
@author: Burkhard
'''
import unittest
#==========================
if __name__ == '__main__':
unittest.main()
| 26.681818 | 66 | 0.532368 | '''
May 2017
@author: Burkhard
'''
import unittest
from Ch08_Code.LanguageResources import I18N
from Ch08_Code.GUI_Refactored import OOP as GUI
class GuiUnitTests(unittest.TestCase):
def test_TitleIsEnglish(self):
i18n = I18N('en')
self.assertEqual(i18n.title,
"Pytho... | 0 | 0 | 0 | 869 | 0 | 0 | 0 | 49 | 91 |
7a33cf1e730e26773f1c2394554a237d49671490 | 7,388 | py | Python | tools/get_probabilites_of_stroke_counts.py | MartinThoma/write-math | ece645f70341431ac7ca14740ce26ad8153a3900 | [
"MIT"
] | 42 | 2015-04-27T18:53:08.000Z | 2020-09-29T22:53:21.000Z | tools/get_probabilites_of_stroke_counts.py | MartinThoma/write-math | ece645f70341431ac7ca14740ce26ad8153a3900 | [
"MIT"
] | 22 | 2015-04-12T13:13:25.000Z | 2016-08-05T09:55:25.000Z | tools/get_probabilites_of_stroke_counts.py | MartinThoma/write-math | ece645f70341431ac7ca14740ce26ad8153a3900 | [
"MIT"
] | 4 | 2017-03-08T22:29:41.000Z | 2018-12-04T02:19:54.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Given a symbol s, what is the probability P(n|s) of a stroke count of n?
Download data for each symbol.
"""
import logging
import sys
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s',
level=logging.INFO,
strea... | 33.429864 | 79 | 0.527883 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Given a symbol s, what is the probability P(n|s) of a stroke count of n?
Download data for each symbol.
"""
import logging
import sys
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s',
level=logging.INFO,
strea... | 0 | 0 | 0 | 0 | 0 | 429 | 0 | 0 | 23 |
62694fcb091d89565d14c87ebe87c15cb649af81 | 36,008 | py | Python | classification/metrics/compute_vessel_metrics.py | rechardchen123/Classification-and-regression-of-vessel-AIS-data | e9d8c7a807cb6e49577739b53832e53becb3251c | [
"Apache-2.0"
] | 7 | 2018-10-14T14:55:10.000Z | 2021-01-04T13:42:09.000Z | classification/metrics/compute_vessel_metrics.py | rechardchen123/Classification-and-regression-of-vessel-AIS-data | e9d8c7a807cb6e49577739b53832e53becb3251c | [
"Apache-2.0"
] | null | null | null | classification/metrics/compute_vessel_metrics.py | rechardchen123/Classification-and-regression-of-vessel-AIS-data | e9d8c7a807cb6e49577739b53832e53becb3251c | [
"Apache-2.0"
] | null | null | null |
"""
Example:
python compute_metrics.py --inference-path classification_results.json.gz \
--label-path classification/data/net_training_20161115.csv \
--dest-path fltest.html --fishing-ranges classification/data/combined_fishing_ranges.csv \
... | 33.248384 | 121 | 0.593035 |
"""
Example:
python compute_metrics.py --inference-path classification_results.json.gz \
--label-path classification/data/net_training_20161115.csv \
--dest-path fltest.html --fishing-ranges classification/data/combined_fishing_ranges.csv \
... | 0 | 455 | 0 | 4,627 | 0 | 10,268 | 0 | 17 | 630 |
d989d18aaa3c816b9eb10aaf8a00c00c70d5a5f3 | 1,397 | py | Python | lightcurve/addDate.py | yerkesobservatory/variousnsundry | c757a628b1c66be08c4ac15fb0dda26af61aebd8 | [
"MIT"
] | null | null | null | lightcurve/addDate.py | yerkesobservatory/variousnsundry | c757a628b1c66be08c4ac15fb0dda26af61aebd8 | [
"MIT"
] | null | null | null | lightcurve/addDate.py | yerkesobservatory/variousnsundry | c757a628b1c66be08c4ac15fb0dda26af61aebd8 | [
"MIT"
] | null | null | null | import os
import glob
import math
import subprocess
import re
from decimal import Decimal
from astropy.io import fits
from astropy import wcs
#MODIFY THESE FIELDS AS NEEDED!
#input path *with* ending forward slash
input_path='./'
#output path *with* ending forward slash
#output_path='./renamed/'
output_path='./'
#doe... | 25.4 | 77 | 0.692198 | import os
import glob
import math
import subprocess
import re
from decimal import Decimal
from astropy.io import fits
from astropy import wcs
#MODIFY THESE FIELDS AS NEEDED!
#input path *with* ending forward slash
input_path='./'
#output path *with* ending forward slash
#output_path='./renamed/'
output_path='./'
#doe... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
33ca5098c118ac54a2bdc2c45c313c25ad43ddb9 | 1,747 | py | Python | lab6/marketing/evaluation.py | bolecodex/amazon-sagemaker-immersion-day | 2894145bb0abd4961cb0e0b7c6d1e89264b76716 | [
"MIT-0"
] | null | null | null | lab6/marketing/evaluation.py | bolecodex/amazon-sagemaker-immersion-day | 2894145bb0abd4961cb0e0b7c6d1e89264b76716 | [
"MIT-0"
] | null | null | null | lab6/marketing/evaluation.py | bolecodex/amazon-sagemaker-immersion-day | 2894145bb0abd4961cb0e0b7c6d1e89264b76716 | [
"MIT-0"
] | null | null | null | import os
import json
import pickle
import tarfile
import pandas as pd
import xgboost
import pandas as pd
import xgboost
from sklearn.metrics import accuracy_score, roc_auc_score
if __name__ == "__main__":
model_path = f"/opt/ml/processing/model/model.tar.gz"
with tarfile.open(model_path) as tar:
tar... | 29.610169 | 96 | 0.665713 | import os
import json
import pathlib
import pickle
import tarfile
import pandas as pd
import xgboost
import joblib
import numpy as np
import pandas as pd
import xgboost
from sklearn.metrics import accuracy_score, classification_report, roc_auc_score
if __name__ == "__main__":
model_path = f"/opt/ml/processing/m... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 67 |
f9609eebd9ab7d22ba35b722d2ae65f396d89922 | 7,508 | py | Python | bnp_tumorseg/evidence.py | ryanneph/bnp-tumorseg | c5b071405ec7cc4f0aa33a0e3b83b0075ca45276 | [
"Apache-2.0"
] | 8 | 2018-09-24T15:37:33.000Z | 2021-01-20T06:28:07.000Z | bnp_tumorseg/evidence.py | ryanneph/bnp-tumorseg | c5b071405ec7cc4f0aa33a0e3b83b0075ca45276 | [
"Apache-2.0"
] | null | null | null | bnp_tumorseg/evidence.py | ryanneph/bnp-tumorseg | c5b071405ec7cc4f0aa33a0e3b83b0075ca45276 | [
"Apache-2.0"
] | 5 | 2018-09-24T16:55:25.000Z | 2021-03-30T06:19:44.000Z | import numpy as np
import numpy.ma as ma
from numpy.linalg import solve
import logging
logger = logging.getLogger(__name__)
def choleskyQuadForm(L, b):
"""Compute quadratic form: b' * A^(-1) * b using the cholesky inverse to reduce the problem to solving Lx=b where L is the
Lower triangular matrix resulting ... | 32.502165 | 133 | 0.570591 | from math import pi, sqrt
import numpy as np
import numpy.ma as ma
from numpy.linalg import cholesky, solve
from copy import copy, deepcopy
import choldate
import logging
from . import loggers
from .wrappers import exp, log, gammaln
logger = logging.getLogger(__name__)
def choleskyQuadForm(L, b):
"""Compute quadr... | 0 | 597 | 0 | 5,536 | 0 | 0 | 0 | 36 | 133 |
67efb9509d11d390d942bd02809a166839bc84e4 | 2,156 | py | Python | marsworks/origin/tools.py | anand2312/Marsworks | 1a9d837c2da3a03fdf25280c6aaa43deeda40451 | [
"MIT"
] | 2 | 2021-07-16T18:07:50.000Z | 2021-08-11T09:24:14.000Z | marsworks/origin/tools.py | anand2312/Marsworks | 1a9d837c2da3a03fdf25280c6aaa43deeda40451 | [
"MIT"
] | 7 | 2021-07-07T09:08:07.000Z | 2021-08-07T04:51:29.000Z | marsworks/origin/tools.py | anand2312/Marsworks | 1a9d837c2da3a03fdf25280c6aaa43deeda40451 | [
"MIT"
] | 2 | 2022-01-23T14:31:57.000Z | 2022-02-19T16:45:41.000Z | """
MIT License
Copyright (c) 2021 mooncell07
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, di... | 30.366197 | 78 | 0.67115 | """
MIT License
Copyright (c) 2021 mooncell07
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, di... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6eb729a873c5f0279e5ee022a6e3c3618e3e3968 | 2,225 | py | Python | bfg/cli.py | fomars/bfg | e007704e02a9bd4f71651b78dba8122e21091951 | [
"MIT"
] | 14 | 2018-04-15T06:59:16.000Z | 2022-02-05T11:38:25.000Z | bfg/cli.py | fomars/bfg | e007704e02a9bd4f71651b78dba8122e21091951 | [
"MIT"
] | null | null | null | bfg/cli.py | fomars/bfg | e007704e02a9bd4f71651b78dba8122e21091951 | [
"MIT"
] | 4 | 2017-11-24T12:25:55.000Z | 2021-01-14T09:24:14.000Z | '''
Entry point. Init logging, initialize component factory,
start asyncio event loop, manage components lifecycle
'''
import logging
import yaml
import pytoml
import json
import sys
from .loadtest import LoadTest
LOG = logging.getLogger(__name__)
def init_logging(debug=False, filename='bfg.log'):
''' Configur... | 28.896104 | 75 | 0.654831 | '''
Entry point. Init logging, initialize component factory,
start asyncio event loop, manage components lifecycle
'''
import logging
import yaml
import pytoml
import json
import sys
from .loadtest import LoadTest
LOG = logging.getLogger(__name__)
def init_logging(debug=False, filename='bfg.log'):
''' Configur... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bd225b8ee0b0afe5e5b469c26da938d9887a6b5a | 1,841 | py | Python | slides/06_expressivity_optimization_generalization/images/make_mini_mlp_loss_figures.py | JLWoodcock/MKL | 2d2cdded15aeb8144e08fdbc2b9ae2abfa88216d | [
"MIT"
] | 1 | 2017-11-30T17:25:08.000Z | 2017-11-30T17:25:08.000Z | slides/06_expressivity_optimization_generalization/images/make_mini_mlp_loss_figures.py | SebastienBoisard/m2dsupsdlclass-lectures-labs | fdd8ec4f01a28a8bf4e11f297bba889be4fde993 | [
"MIT"
] | null | null | null | slides/06_expressivity_optimization_generalization/images/make_mini_mlp_loss_figures.py | SebastienBoisard/m2dsupsdlclass-lectures-labs | fdd8ec4f01a28a8bf4e11f297bba889be4fde993 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import os
import shutil
# Generate the figures in the same folder
os.chdir(os.path.dirname(__file__))
rng = np.random.RandomState(42)
# 2D parameter space:
n_steps = 200
w1 = np.linspace(-2.5, 2.5, n_steps)
w2 = np.linspace(-2.5, 2.5, n_steps)
w1, w2 = np.meshgrid(w... | 25.219178 | 68 | 0.632265 | import numpy as np
import matplotlib.pyplot as plt
import os
import shutil
# Generate the figures in the same folder
os.chdir(os.path.dirname(__file__))
rng = np.random.RandomState(42)
# 2D parameter space:
n_steps = 200
w1 = np.linspace(-2.5, 2.5, n_steps)
w2 = np.linspace(-2.5, 2.5, n_steps)
w1, w2 = np.meshgrid(w... | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 46 |
3554041e1d8c5d12612f7250db1a6c29e22c805f | 638 | py | Python | Library/PackageCache/com.unity.scripting.python@2.0.1-preview.2/Python/site-packages/unity_python/server/settings.py | TranThiThanhHoa/pythonForUnity | cfbc6b1c4d14593a8e9ceb36072b6946efe223e3 | [
"MIT"
] | null | null | null | Library/PackageCache/com.unity.scripting.python@2.0.1-preview.2/Python/site-packages/unity_python/server/settings.py | TranThiThanhHoa/pythonForUnity | cfbc6b1c4d14593a8e9ceb36072b6946efe223e3 | [
"MIT"
] | null | null | null | Library/PackageCache/com.unity.scripting.python@2.0.1-preview.2/Python/site-packages/unity_python/server/settings.py | TranThiThanhHoa/pythonForUnity | cfbc6b1c4d14593a8e9ceb36072b6946efe223e3 | [
"MIT"
] | null | null | null | from __future__ import division, print_function
# This file has a bunch of settings that can be set via the Unity project settings.
# It also has some hacks for compatibility between versions of Python and Windows.
import getpass
import os
import tempfile
# Unix socket support.
whoami = getpass.getuser()
tempdir = te... | 31.9 | 83 | 0.777429 | from __future__ import division, print_function
# This file has a bunch of settings that can be set via the Unity project settings.
# It also has some hacks for compatibility between versions of Python and Windows.
import getpass
import os
import tempfile
# Unix socket support.
whoami = getpass.getuser()
tempdir = te... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b483d466467238ad4f4ed508ae43de183ecedaad | 3,898 | py | Python | kolibri/core/views.py | arceduardvincent/kolibri | 26073dda2569bb38bfe1e08ba486e96f650d10ce | [
"MIT"
] | null | null | null | kolibri/core/views.py | arceduardvincent/kolibri | 26073dda2569bb38bfe1e08ba486e96f650d10ce | [
"MIT"
] | null | null | null | kolibri/core/views.py | arceduardvincent/kolibri | 26073dda2569bb38bfe1e08ba486e96f650d10ce | [
"MIT"
] | null | null | null | from django import http
from django.conf import settings
from django.core.urlresolvers import translate_url
from django.utils.http import is_safe_url
from django.utils.translation import check_for_language
from django.utils.translation import LANGUAGE_SESSION_KEY
from django.views.i18n import LANGUAGE_QUERY_PARAMETER
... | 41.468085 | 111 | 0.686762 | from django import http
from django.conf import settings
from django.contrib.auth import logout
from django.core.urlresolvers import translate_url
from django.http import Http404
from django.http import HttpResponseRedirect
from django.utils.http import is_safe_url
from django.utils.translation import check_for_languag... | 0 | 0 | 0 | 1,288 | 0 | 274 | 0 | 185 | 269 |
05bfaf565b5084c98cfd0831dd4d1195d7f48e95 | 93 | py | Python | __init__.py | sampanes/cv_pubsubs | 746a9cfab0be742f3b47e8bffe67f46abf4df410 | [
"MIT"
] | null | null | null | __init__.py | sampanes/cv_pubsubs | 746a9cfab0be742f3b47e8bffe67f46abf4df410 | [
"MIT"
] | null | null | null | __init__.py | sampanes/cv_pubsubs | 746a9cfab0be742f3b47e8bffe67f46abf4df410 | [
"MIT"
] | null | null | null | # redirection, so we can use subtree like pip
| 31 | 46 | 0.806452 | # redirection, so we can use subtree like pip
from .cv_pubsubs import webcam_pub, window_sub
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 22 |
66425ffb0fa5a2059aae4f8ac48b5cb23bbff19d | 13,582 | py | Python | symbian/PythonForS60_1.9.6/module-repo/dev-modules/e32calendar/e32calendar.py | pymo/pymo | 703ba457fba90635ab61fe4c8ec054e002613283 | [
"MIT"
] | 69 | 2015-01-16T13:12:55.000Z | 2022-02-14T12:55:27.000Z | symbian/PythonForS60_1.9.6/module-repo/dev-modules/e32calendar/e32calendar.py | pymo/pymo | 703ba457fba90635ab61fe4c8ec054e002613283 | [
"MIT"
] | 3 | 2019-07-19T18:02:02.000Z | 2021-04-25T06:35:42.000Z | symbian/PythonForS60/module-repo/dev-modules/e32calendar/e32calendar.py | pymo/pymo | 703ba457fba90635ab61fe4c8ec054e002613283 | [
"MIT"
] | 17 | 2015-04-17T13:50:09.000Z | 2021-05-13T02:47:56.000Z | #
# e32calendar.py
#
# Copyright (c) 2006-2009 Nokia Corporation
#
# 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 appl... | 42.049536 | 153 | 0.631718 | #
# e32calendar.py
#
# Copyright (c) 2006-2009 Nokia Corporation
#
# 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 appl... | 0 | 0 | 0 | 12,235 | 0 | 86 | 0 | 0 | 67 |
8ef3cf727b139eeb72f0311be47936a2a57269be | 317 | py | Python | Codeforces 1293A.py | Jvillegasd/Codeforces | ffdd2d5db1dabc7ff76f8f92270c79233a77b933 | [
"MIT"
] | null | null | null | Codeforces 1293A.py | Jvillegasd/Codeforces | ffdd2d5db1dabc7ff76f8f92270c79233a77b933 | [
"MIT"
] | null | null | null | Codeforces 1293A.py | Jvillegasd/Codeforces | ffdd2d5db1dabc7ff76f8f92270c79233a77b933 | [
"MIT"
] | null | null | null | from sys import stdin, stdout
t = int(stdin.readline())
for i in range(t):
n, s, k = map(int, stdin.readline().split())
a = [int(ai) for ai in stdin.readline().split()]
for j in range(n + 1):
if s + j not in a and s + j <= n or s - j not in a and s - j > 0:
stdout.write('{}\n'.format(j))
break | 31.7 | 69 | 0.567823 | from sys import stdin, stdout
t = int(stdin.readline())
for i in range(t):
n, s, k = map(int, stdin.readline().split())
a = [int(ai) for ai in stdin.readline().split()]
for j in range(n + 1):
if s + j not in a and s + j <= n or s - j not in a and s - j > 0:
stdout.write('{}\n'.format(j))
break | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac456b279a72b8daf1cc3c112a38955fa3ae37c9 | 1,170 | py | Python | tests/test_vnet_bitmap.py | atrens/sonic-swss | ec43b1d647e4329ac5fcdd34afd97648d41600e5 | [
"Apache-2.0"
] | null | null | null | tests/test_vnet_bitmap.py | atrens/sonic-swss | ec43b1d647e4329ac5fcdd34afd97648d41600e5 | [
"Apache-2.0"
] | null | null | null | tests/test_vnet_bitmap.py | atrens/sonic-swss | ec43b1d647e4329ac5fcdd34afd97648d41600e5 | [
"Apache-2.0"
] | null | null | null |
# Define fake platform for "DVS" fixture, so it will set "platform" environment variable for "orchagent".
# It is needed in order to enable platform specific "orchagent" code for testing "bitmap" VNET implementation.
DVS_FAKE_PLATFORM = "mellanox"
'''
Provides test cases for the "bitmap" VNET implementation.
Test c... | 39 | 129 | 0.775214 | import time
import pytest
import test_vnet as vnet
from swsscommon import swsscommon
from flaky import flaky
# Define fake platform for "DVS" fixture, so it will set "platform" environment variable for "orchagent".
# It is needed in order to enable platform specific "orchagent" code for testing "bitmap" VNET implem... | 0 | 342 | 0 | 0 | 0 | 0 | 0 | -1 | 134 |
0ca3495429ea5809c5bab404862a4da8ea556b6e | 30,947 | py | Python | merge_machine/gridding.py | entrepreneur-interet-general/the-magical-csv-merge-machine | 5941c2ed3db64548ece74311c5055ee298e31ab8 | [
"MIT"
] | 7 | 2017-12-14T17:49:01.000Z | 2021-06-27T13:08:47.000Z | merge_machine/gridding.py | entrepreneur-interet-general/the-magical-csv-merge-machine | 5941c2ed3db64548ece74311c5055ee298e31ab8 | [
"MIT"
] | 65 | 2017-11-29T17:01:52.000Z | 2018-08-31T15:59:19.000Z | merge_machine/gridding.py | entrepreneur-interet-general/the-magical-csv-merge-machine | 5941c2ed3db64548ece74311c5055ee298e31ab8 | [
"MIT"
] | 3 | 2017-12-21T10:57:23.000Z | 2020-05-25T06:58:39.000Z | import functools, re
from collections import defaultdict
import enchant
DICTS = [ enchant.Dict("en_US") ]
SOURCE = 1
REFERENCE = 2
MIN_STRING_SCORE = 20
REQUIRES_SHARED_PROPER_NOUN = True
DONT_DISCRIMINATE = False
EXCLUDE_ADDRESS_AS_LABEL = False
FORBID_DUPE_ACRONYMS = False
ADD_VARIANT_WITHOUT_COUNTRY = False
ACRO_P... | 47.319572 | 4,153 | 0.68753 | import csv, difflib, functools, logging, re, os, sys, pickle
import unicodedata, unidecode
from collections import defaultdict, Counter
from fuzzywuzzy import fuzz
from postal.parser import parse_address
import enchant
DICTS = [ enchant.Dict("en_US") ]
SOURCE = 1
REFERENCE = 2
MIN_STRING_SCORE = 20
REQUIRES_SHARED_PR... | 40 | 0 | 0 | 0 | 984 | 18,562 | 0 | 81 | 964 |
8ad0fd86deb21fb958da59cb8088dda8909084e1 | 5,182 | py | Python | mkultra/git_utils.py | jsenellart/mkultra | c43d909e6bd9b9c71c8bec8c656e2d3ea7d695d6 | [
"BSD-3-Clause"
] | null | null | null | mkultra/git_utils.py | jsenellart/mkultra | c43d909e6bd9b9c71c8bec8c656e2d3ea7d695d6 | [
"BSD-3-Clause"
] | null | null | null | mkultra/git_utils.py | jsenellart/mkultra | c43d909e6bd9b9c71c8bec8c656e2d3ea7d695d6 | [
"BSD-3-Clause"
] | 1 | 2021-01-01T12:13:07.000Z | 2021-01-01T12:13:07.000Z | # This file is based on the ghp-import package released under
# the Tumbolia Public License.
# Tumbolia Public License
# Copyright 2013, Paul Davis <paul.joseph.davis@gmail.com>
# Copying and distribution of this file, with or without modification, are
# permitted in any medium without roy... | 31.987654 | 78 | 0.606137 | # This file is based on the ghp-import package released under
# the Tumbolia Public License.
# Tumbolia Public License
# Copyright 2013, Paul Davis <paul.joseph.davis@gmail.com>
# Copying and distribution of this file, with or without modification, are
# permitted in any medium without roy... | 0 | 0 | 0 | 1,761 | 487 | 2,057 | 0 | -17 | 364 |
629068babafc3dd2307502aa36fd6da3725bb6a2 | 1,469 | py | Python | pyS/Srun.py | nirvguy/pyS | 23bfaf9dfbecf7649acef67c5df540239dbdbd5b | [
"MIT"
] | null | null | null | pyS/Srun.py | nirvguy/pyS | 23bfaf9dfbecf7649acef67c5df540239dbdbd5b | [
"MIT"
] | null | null | null | pyS/Srun.py | nirvguy/pyS | 23bfaf9dfbecf7649acef67c5df540239dbdbd5b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
| 26.232143 | 117 | 0.536419 | #!/usr/bin/env python3
import sys
import io
import getopt
from .S.language import SProgram
from .S.interp import StopProgram, SInterp
def usage():
print("./Sdump [-h | -v] FILE")
print()
print(" -h, --help Displays this message")
print(" -v, --version Displays the version of pyS")
... | 0 | 0 | 0 | 0 | 0 | 1,288 | 0 | 1 | 157 |
4061b0765bba3e1da5d079b1e5c6e3ac9a314eb8 | 249 | py | Python | examples/movies-data-api/app/api/__init__.py | sunyunxian/flask-examples | 7ad53ce1d34354c22b7f1728218ab6a64058ccb4 | [
"Apache-2.0"
] | null | null | null | examples/movies-data-api/app/api/__init__.py | sunyunxian/flask-examples | 7ad53ce1d34354c22b7f1728218ab6a64058ccb4 | [
"Apache-2.0"
] | null | null | null | examples/movies-data-api/app/api/__init__.py | sunyunxian/flask-examples | 7ad53ce1d34354c22b7f1728218ab6a64058ccb4 | [
"Apache-2.0"
] | null | null | null | from flask import Blueprint
from app.api.v1 import v1_bp
from app.api.v2 import v2_bp
api_bp = Blueprint('api', __name__)
api_bp.register_blueprint(v1_bp, url_prefix='/v1')
api_bp.register_blueprint(v2_bp, url_prefix='/v2')
| 24.9 | 50 | 0.791165 | from sys import prefix
from flask import Blueprint
from app.api.v1 import v1_bp
from app.api.v2 import v2_bp
api_bp = Blueprint('api', __name__)
api_bp.register_blueprint(v1_bp, url_prefix='/v1')
api_bp.register_blueprint(v2_bp, url_prefix='/v2')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 22 |
5cdb8280e8fa6fbcb220bf60f5fbf47a6ef14512 | 5,891 | py | Python | models/module_zoo/ops/tadaconv.py | hardik01shah/TAdaConv | a1174c1c39ee91c6f6fc7a99471160f17d05297e | [
"Apache-2.0"
] | 30 | 2022-01-29T12:39:31.000Z | 2022-03-23T05:58:52.000Z | models/module_zoo/ops/tadaconv.py | hardik01shah/TAdaConv | a1174c1c39ee91c6f6fc7a99471160f17d05297e | [
"Apache-2.0"
] | 5 | 2022-02-07T02:09:27.000Z | 2022-03-29T10:40:22.000Z | models/module_zoo/ops/tadaconv.py | hardik01shah/TAdaConv | a1174c1c39ee91c6f6fc7a99471160f17d05297e | [
"Apache-2.0"
] | 6 | 2022-01-30T03:22:22.000Z | 2022-03-31T07:28:32.000Z | #!/usr/bin/env python3
# Copyright (C) Alibaba Group Holding Limited.
""" TAdaConv. """
import torch.nn as nn
| 37.522293 | 118 | 0.568834 | #!/usr/bin/env python3
# Copyright (C) Alibaba Group Holding Limited.
""" TAdaConv. """
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.utils import _triple
class RouteFuncMLP(nn.Module):
"""
The routing function for generating the calibration weights.
... | 0 | 0 | 0 | 5,632 | 0 | 0 | 0 | 12 | 135 |
4db4dbe2d32fb6c3619d533caf10ccca3a968638 | 3,980 | py | Python | src/BiGruSelfattentionWithCheating.py | keigotak/COVID19Tweet | fa11c1be88dda91b70b68a8819715b5d6c1afb33 | [
"Unlicense"
] | null | null | null | src/BiGruSelfattentionWithCheating.py | keigotak/COVID19Tweet | fa11c1be88dda91b70b68a8819715b5d6c1afb33 | [
"Unlicense"
] | null | null | null | src/BiGruSelfattentionWithCheating.py | keigotak/COVID19Tweet | fa11c1be88dda91b70b68a8819715b5d6c1afb33 | [
"Unlicense"
] | null | null | null | import torch.nn as nn
'''
'''
| 39.019608 | 128 | 0.65603 | from pathlib import Path
import torch
import torch.nn as nn
from AbstractModel import AbstractModel
from Attention import Attention
from Tokenizer import Tokenizer
from StopWords import StopWords
class BiGruSelfattentionWithCheating(AbstractModel):
def __init__(self, device='cpu', hyper_params=None):
s... | 0 | 0 | 0 | 3,746 | 0 | 0 | 0 | 42 | 158 |
f6f6b530940bd1afd98152d22f07c0e5ec8d8175 | 794 | py | Python | migrations/versions/707bac2b6bd1_add_notes_field_for_tasks.py | toastwaffle/LiME | 7d529d9eaeb9de7a9aebe6aa373e1b3611bfd2ad | [
"MIT"
] | null | null | null | migrations/versions/707bac2b6bd1_add_notes_field_for_tasks.py | toastwaffle/LiME | 7d529d9eaeb9de7a9aebe6aa373e1b3611bfd2ad | [
"MIT"
] | 69 | 2018-02-04T15:08:07.000Z | 2020-03-19T22:04:16.000Z | migrations/versions/707bac2b6bd1_add_notes_field_for_tasks.py | toastwaffle/LiME | 7d529d9eaeb9de7a9aebe6aa373e1b3611bfd2ad | [
"MIT"
] | null | null | null | """Add notes field for tasks
Revision ID: 707bac2b6bd1
Revises: 58ea8596e2db
Create Date: 2017-09-10 11:31:03.741908
"""
# revision identifiers, used by Alembic.
revision = '707bac2b6bd1'
down_revision = '58ea8596e2db'
branch_labels = None
depends_on = None
| 25.612903 | 78 | 0.683879 | """Add notes field for tasks
Revision ID: 707bac2b6bd1
Revises: 58ea8596e2db
Create Date: 2017-09-10 11:31:03.741908
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '707bac2b6bd1'
down_revision = '58ea8596e2db'
branch_labels = None
depends_on = None
def upgra... | 0 | 0 | 0 | 0 | 0 | 437 | 0 | 3 | 90 |
dbc199c2cf14db1d4ed1a7f3f9bf0a48e11006c7 | 1,113 | py | Python | setup.py | shinybrar/Comet | 4229092fca74c130a7d4ecd4dbd22ae85f7e6308 | [
"BSD-2-Clause"
] | null | null | null | setup.py | shinybrar/Comet | 4229092fca74c130a7d4ecd4dbd22ae85f7e6308 | [
"BSD-2-Clause"
] | null | null | null | setup.py | shinybrar/Comet | 4229092fca74c130a7d4ecd4dbd22ae85f7e6308 | [
"BSD-2-Clause"
] | null | null | null | from distutils.core import setup
import comet
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name="Comet",
description=comet.__description__,
author=comet.__author__,
author_email=comet.__contact__,
version=comet.__version__,
url=comet.__url__,
packages=[
... | 24.195652 | 46 | 0.567835 | from distutils.core import setup
import sys
import comet
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name="Comet",
description=comet.__description__,
author=comet.__author__,
author_email=comet.__contact__,
version=comet.__version__,
url=comet.__url__,
p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 22 |
dad0e815ca2895c50bd83da39cc9d8936d340fda | 338 | py | Python | sortsearch/factorymachines.py | ashutoshdumiyan/CSES-Solutions | 48ff04f0003c2a1f808412497a22c7c7841bb3db | [
"MIT"
] | null | null | null | sortsearch/factorymachines.py | ashutoshdumiyan/CSES-Solutions | 48ff04f0003c2a1f808412497a22c7c7841bb3db | [
"MIT"
] | null | null | null | sortsearch/factorymachines.py | ashutoshdumiyan/CSES-Solutions | 48ff04f0003c2a1f808412497a22c7c7841bb3db | [
"MIT"
] | null | null | null | from sys import stdin
n, t = map(int, stdin.readline().split())
li = [int(c) for c in stdin.readline().split()]
lb = 1
rb = 10 ** 18
while lb < rb:
mb = (lb + rb) // 2
s = 0
for i in range(n):
s += min(mb // li[i], 10 ** 9)
if s >= t:
rb = mb
else:
lb = mb ... | 16.9 | 48 | 0.440828 | from sys import stdin
n, t = map(int, stdin.readline().split())
li = [int(c) for c in stdin.readline().split()]
lb = 1
rb = 10 ** 18
while lb < rb:
mb = (lb + rb) // 2
s = 0
for i in range(n):
s += min(mb // li[i], 10 ** 9)
if s >= t:
rb = mb
else:
lb = mb ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ca53461f738ce82a270a0e050a1a743933600908 | 694 | py | Python | TimeWrapper_JE/venv/Lib/site-packages/pygments/lexers/functional.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | TimeWrapper_JE/venv/Lib/site-packages/pygments/lexers/functional.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | TimeWrapper_JE/venv/Lib/site-packages/pygments/lexers/functional.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | """
pygments.lexers.functional
~~~~~~~~~~~~~~~~~~~~~~~~~~
Just export lexer classes previously contained in this module.
:copyright: Copyright 2006-2021 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
__all__ = []
| 33.047619 | 78 | 0.723343 | """
pygments.lexers.functional
~~~~~~~~~~~~~~~~~~~~~~~~~~
Just export lexer classes previously contained in this module.
:copyright: Copyright 2006-2021 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexers.lisp import SchemeLexer, CommonLis... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 298 | 117 |
3948b2140aa495bf7faa5ab4388e410cdcef7be2 | 2,961 | py | Python | openstack/object_store/v1/info.py | horion/openstacksdk | cbb0e12e1dc944847f2ba0e67bf35b9c7a67b3a3 | [
"Apache-2.0"
] | 99 | 2018-03-28T15:41:45.000Z | 2022-01-23T17:22:13.000Z | openstack/object_store/v1/info.py | horion/openstacksdk | cbb0e12e1dc944847f2ba0e67bf35b9c7a67b3a3 | [
"Apache-2.0"
] | 5 | 2018-05-25T16:54:23.000Z | 2021-11-21T02:27:16.000Z | openstack/object_store/v1/info.py | horion/openstacksdk | cbb0e12e1dc944847f2ba0e67bf35b9c7a67b3a3 | [
"Apache-2.0"
] | 104 | 2018-04-06T14:33:54.000Z | 2022-03-01T01:58:09.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under ... | 38.960526 | 77 | 0.657548 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under ... | 0 | 0 | 0 | 2,311 | 0 | 0 | 0 | 12 | 91 |
23f2f97ea56f2a7c548bdccb95142732aa0cafae | 13,524 | py | Python | setup.py | eriknstr/borg | 808379921c4a679bb597db42b4412840d66f4fb1 | [
"BSD-3-Clause"
] | null | null | null | setup.py | eriknstr/borg | 808379921c4a679bb597db42b4412840d66f4fb1 | [
"BSD-3-Clause"
] | null | null | null | setup.py | eriknstr/borg | 808379921c4a679bb597db42b4412840d66f4fb1 | [
"BSD-3-Clause"
] | null | null | null | # -*- encoding: utf-8 *-*
import os
import sys
min_python = (3, 4)
my_python = sys.version_info
if my_python < min_python:
print("Borg requires Python %d.%d or later" % min_python)
sys.exit(1)
# Are we building on ReadTheDocs?
on_rtd = os.environ.get('READTHEDOCS')
# msgpack pure python data corruption was ... | 37.153846 | 124 | 0.612541 | # -*- encoding: utf-8 *-*
import os
import re
import sys
from glob import glob
from distutils.command.build import build
from distutils.core import Command
import textwrap
min_python = (3, 4)
my_python = sys.version_info
if my_python < min_python:
print("Borg requires Python %d.%d or later" % min_python)
sy... | 0 | 0 | 0 | 5,816 | 0 | 538 | 0 | 61 | 305 |
027d6a6e5672a25892afb0d34d0231f5ff59fd3e | 4,028 | py | Python | build/lib.macosx-10.9-x86_64-3.9/gators/imputers/_base_imputer.py | Aditya-Kapadiya/gators | d7c9967e3a8e304a601b6a92ad834d03d3e36338 | [
"Apache-2.0"
] | 4 | 2021-10-29T18:20:52.000Z | 2022-03-31T22:53:03.000Z | build/lib.macosx-10.9-x86_64-3.9/gators/imputers/_base_imputer.py | Aditya-Kapadiya/gators | d7c9967e3a8e304a601b6a92ad834d03d3e36338 | [
"Apache-2.0"
] | 1 | 2022-02-21T20:02:16.000Z | 2022-02-21T20:02:16.000Z | build/lib.macosx-10.9-x86_64-3.9/gators/imputers/_base_imputer.py | Aditya-Kapadiya/gators | d7c9967e3a8e304a601b6a92ad834d03d3e36338 | [
"Apache-2.0"
] | 5 | 2021-11-17T20:16:54.000Z | 2022-02-21T18:21:02.000Z | # License: Apache-2.0
| 34.135593 | 77 | 0.572493 | # License: Apache-2.0
from ..transformers.transformer import Transformer
from typing import List, Dict, Union
import numpy as np
import pandas as pd
import databricks.koalas as ks
class _BaseImputer(Transformer):
"""Base imputer transformer class.
Parameters
----------
strategy : str
Imputati... | 0 | 1,681 | 0 | 2,143 | 0 | 0 | 0 | 48 | 133 |
ffc07d39b2cd320460dde0a0672d8c569fd89f84 | 841 | py | Python | django_db_views/tests/migrations/test_basic_view_creation/0001_initial.py | Skylude/django-db-views | 048a1e3ab7465d3e19481de82b3737f780b175c0 | [
"MIT"
] | null | null | null | django_db_views/tests/migrations/test_basic_view_creation/0001_initial.py | Skylude/django-db-views | 048a1e3ab7465d3e19481de82b3737f780b175c0 | [
"MIT"
] | null | null | null | django_db_views/tests/migrations/test_basic_view_creation/0001_initial.py | Skylude/django-db-views | 048a1e3ab7465d3e19481de82b3737f780b175c0 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.5 on 2021-01-11 19:54
import django_db_views.migration_functions
| 49.470588 | 385 | 0.655172 | # Generated by Django 3.1.5 on 2021-01-11 19:54
from django.db import migrations
import django_db_views.migration_functions
import django_db_views.operations
class Migration(migrations.Migration):
operations = [
django_db_views.operations.ViewRunPython(
code=django_db_views.migration_functio... | 0 | 0 | 0 | 658 | 0 | 0 | 0 | 23 | 68 |
bfdd4314a4d27b2832bb5f65f33364bfd98130d8 | 26,039 | py | Python | pero/drawing/layout.py | xxao/pero | a7f0c84fae0b21fe120204e798bd61cdab3a125d | [
"MIT"
] | 13 | 2019-07-15T17:51:21.000Z | 2022-03-15T06:13:43.000Z | pero/drawing/layout.py | xxao/pero | a7f0c84fae0b21fe120204e798bd61cdab3a125d | [
"MIT"
] | 1 | 2021-12-29T00:46:44.000Z | 2022-01-21T16:18:48.000Z | pero/drawing/layout.py | xxao/pero | a7f0c84fae0b21fe120204e798bd61cdab3a125d | [
"MIT"
] | 3 | 2020-09-27T14:31:45.000Z | 2022-01-22T14:28:15.000Z | # Created byMartin.cz
# Copyright (c) Martin Strohalm. All rights reserved.
from . graphics import Graphics
from . frame import Frame, FrameProperty
from . path import Path
| 32.146914 | 88 | 0.539191 | # Created byMartin.cz
# Copyright (c) Martin Strohalm. All rights reserved.
from .. enums import *
from .. properties import *
from . graphics import Graphics
from . frame import Frame, FrameProperty
from . path import Path
class Layout(Graphics):
"""
Layout represents an experimental simple table-like lay... | 0 | 1,097 | 0 | 24,619 | 0 | 0 | 0 | 7 | 137 |
59f171ae690bcdc77b5bcbe155da0e51615ac689 | 308 | py | Python | cdk/lambdacode/dynamodb.py | phanssens1/automating-slack-signups | 067b4e917fa43123042d01ebbeb7f5d4670886a3 | [
"MIT"
] | null | null | null | cdk/lambdacode/dynamodb.py | phanssens1/automating-slack-signups | 067b4e917fa43123042d01ebbeb7f5d4670886a3 | [
"MIT"
] | null | null | null | cdk/lambdacode/dynamodb.py | phanssens1/automating-slack-signups | 067b4e917fa43123042d01ebbeb7f5d4670886a3 | [
"MIT"
] | null | null | null | import boto3
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('dev-dataeng-meetup-table')
print(table.creation_date_time)
| 17.111111 | 50 | 0.662338 | import os
import boto3
import json
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('dev-dataeng-meetup-table')
print(table.creation_date_time)
def main(event, context):
print(event)
data = json.load(event)
print(data)
# print(i)
# table.put_item(
# Item=i
# )
| 0 | 0 | 0 | 0 | 0 | 128 | 0 | -22 | 66 |
e2983c94a04750401fd0d6ef968b1c6b8d6d289f | 2,051 | py | Python | ch6 slam&navigation/turtlebot/kobuki/kobuki_testsuite/src/kobuki_testsuite/angular_accelerate.py | MINAMISAMA/Castle-X | f6aedc4e67f772b2aed269617ee8a9cac95c7f63 | [
"Apache-2.0"
] | 3 | 2021-01-10T10:52:14.000Z | 2021-12-31T10:19:25.000Z | ch6 slam&navigation/turtlebot/kobuki/kobuki_testsuite/src/kobuki_testsuite/angular_accelerate.py | MINAMISAMA/Castle-X | f6aedc4e67f772b2aed269617ee8a9cac95c7f63 | [
"Apache-2.0"
] | 1 | 2019-01-15T12:37:59.000Z | 2019-01-15T12:37:59.000Z | ch6 slam&navigation/turtlebot/kobuki/kobuki_testsuite/src/kobuki_testsuite/angular_accelerate.py | MINAMISAMA/Castle-X | f6aedc4e67f772b2aed269617ee8a9cac95c7f63 | [
"Apache-2.0"
] | 2 | 2019-01-14T07:48:42.000Z | 2019-01-15T06:32:27.000Z | #!/usr/bin/env python
#
# License: BSD
# https://raw.github.com/yujinrobot/kobuki/hydro-devel/kobuki_testsuite/LICENSE
#
##############################################################################
# Imports
##############################################################################
#####################... | 28.887324 | 93 | 0.504144 | #!/usr/bin/env python
#
# License: BSD
# https://raw.github.com/yujinrobot/kobuki/hydro-devel/kobuki_testsuite/LICENSE
#
##############################################################################
# Imports
##############################################################################
import threading
impo... | 0 | 0 | 0 | 1,407 | 0 | 0 | 0 | 0 | 134 |
444c91b2a9d8b14519b3136a8e99c65b1cd9cede | 2,083 | py | Python | cvtest.py | helloparthshah/HackMIT | 44413c2982ebff837a2cbb55ecdeacee8dad8390 | [
"MIT"
] | 1 | 2020-09-20T12:31:48.000Z | 2020-09-20T12:31:48.000Z | cvtest.py | helloparthshah/HackMIT | 44413c2982ebff837a2cbb55ecdeacee8dad8390 | [
"MIT"
] | null | null | null | cvtest.py | helloparthshah/HackMIT | 44413c2982ebff837a2cbb55ecdeacee8dad8390 | [
"MIT"
] | null | null | null | import cv2
import numpy as np
import tensorflow as tf
from keras.models import load_model
f = open("./converted_keras/l.txt", "r")
labels = f.read().splitlines()
f.close()
# shape = (224, 224)
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
# Currently, memory growth needs to be ... | 27.051948 | 77 | 0.6265 | import cv2
import numpy as np
import tensorflow as tf
from keras.models import load_model
import os
from PIL import Image, ImageOps
f = open("./converted_keras/l.txt", "r")
labels = f.read().splitlines()
f.close()
# shape = (224, 224)
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 44 |
eedfbfe7c3b7e28b9819e702eb057716d479d18f | 9,173 | py | Python | kubernetes/client/models/io_cert_manager_acme_v1_challenge_spec_solver_http01_ingress_pod_template_spec.py | mariusgheorghies/python | 68ac7e168963d8b5a81dc493b1973d29e903a15b | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/io_cert_manager_acme_v1_challenge_spec_solver_http01_ingress_pod_template_spec.py | mariusgheorghies/python | 68ac7e168963d8b5a81dc493b1973d29e903a15b | [
"Apache-2.0"
] | null | null | null | kubernetes/client/models/io_cert_manager_acme_v1_challenge_spec_solver_http01_ingress_pod_template_spec.py | mariusgheorghies/python | 68ac7e168963d8b5a81dc493b1973d29e903a15b | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1.20.7
Generated by: https://openapi-generator.tech
"""
| 39.369099 | 259 | 0.693775 | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1.20.7
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
fr... | 0 | 4,755 | 0 | 4,018 | 0 | 0 | 0 | 5 | 128 |
d3913a4a48e7cc2024ede77fb00fe65162d515b6 | 2,513 | py | Python | mastermind_api/game/models.py | manuelmamut/mastermind | 898b510de19e2affaac5480fbc38e5ba7c6d38ed | [
"MIT"
] | null | null | null | mastermind_api/game/models.py | manuelmamut/mastermind | 898b510de19e2affaac5480fbc38e5ba7c6d38ed | [
"MIT"
] | 1 | 2020-06-05T18:29:07.000Z | 2020-06-05T18:29:07.000Z | mastermind_api/game/models.py | manuelmamut/mastermind | 898b510de19e2affaac5480fbc38e5ba7c6d38ed | [
"MIT"
] | null | null | null |
# Create your models here.
| 42.59322 | 127 | 0.535217 | from django.db import models
from datetime import datetime
# Create your models here.
class Game(models.Model):
EASY = 12
MEDIUM = 10
HARD = 8
PRO = 6
DIFICULTY = (
(EASY, 'Easy'),
(MEDIUM, 'Medium'),
(HARD, 'Hard'),
(PRO, 'Pro'),
)
RED = 'R'
GREEN = '... | 0 | 0 | 0 | 2,402 | 0 | 0 | 0 | 15 | 67 |
9f509b0c3416a20a4416c23aca9f2e3dc96c4189 | 4,894 | py | Python | examples/external_dependencies/vis_contextual_promp_distribution_screws.py | dfki-ric/movement_primitives | ca7be45f13ea8ed4dd796be7e076778b1527cf29 | [
"BSD-3-Clause"
] | 17 | 2021-11-17T15:36:16.000Z | 2022-03-26T08:49:25.000Z | examples/external_dependencies/vis_contextual_promp_distribution_screws.py | DavidYaonanZhu/movement_primitives | ce355837f06cb5fada24be7259cb0305e8ea5d91 | [
"BSD-3-Clause"
] | 9 | 2021-12-01T10:33:04.000Z | 2022-03-23T12:41:39.000Z | examples/external_dependencies/vis_contextual_promp_distribution_screws.py | DavidYaonanZhu/movement_primitives | ce355837f06cb5fada24be7259cb0305e8ea5d91 | [
"BSD-3-Clause"
] | 8 | 2021-11-25T03:53:40.000Z | 2022-03-31T03:19:25.000Z | import numpy as np
import pytransform3d.visualizer as pv
import pytransform3d.trajectories as ptr
from pytransform3d.urdf import UrdfTransformManager
from movement_primitives.visualization import plot_pointcloud, ToggleGeometry
from movement_primitives.promp import ProMP
from gmr import GMM
plot_training_data = Fal... | 40.446281 | 126 | 0.713731 | import numpy as np
import pytransform3d.visualizer as pv
import pytransform3d.trajectories as ptr
from pytransform3d.urdf import UrdfTransformManager
from mocap.cleaning import smooth_exponential_coordinates, median_filter
from mocap.dataset_loader import load_kuka_dataset, transpose_dataset
from movement_primitives.v... | 0 | 0 | 0 | 0 | 0 | 1,140 | 0 | 99 | 67 |
e0af8eee3c2dd88395474a5d8eb93de2e410ac84 | 22,461 | py | Python | iop_mailer.py | ssteinke/Seaglider_mailer | 412fa1d13b76ce980830f830886e87d1ef0dba28 | [
"MIT"
] | null | null | null | iop_mailer.py | ssteinke/Seaglider_mailer | 412fa1d13b76ce980830f830886e87d1ef0dba28 | [
"MIT"
] | null | null | null | iop_mailer.py | ssteinke/Seaglider_mailer | 412fa1d13b76ce980830f830886e87d1ef0dba28 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
"""IOP mail extension for Seaglider Basestation
Author: Sebastian Steinke, 21.03.2017
"""
import sys
import os
from scipy.io import netcdf
import BaseNetCDF
import numpy as np
import time
import BaseOpts
import FileMgr
from CalibConst import getSGCalibrationConstants
import CommLog as CommLog
... | 43.783626 | 204 | 0.542852 | #! /usr/bin/env python
"""IOP mail extension for Seaglider Basestation
Author: Sebastian Steinke, 21.03.2017
"""
import sys
import os
from scipy.io import netcdf
import BaseNetCDF
import numpy as np
import time
import BaseOpts
from BaseLog import *
import FileMgr
from CalibConst import getSGCalibrationConstants
impo... | 0 | 0 | 0 | 18,735 | 0 | 0 | 0 | 0 | 45 |
f875ddb3415d927e8db2727a742f4a1b3f508cd8 | 33,713 | py | Python | LIpipe/makemelucky.py | fedhere/getlucky | 1dec967fc6f771060435842b01580bd05fcfcd08 | [
"MIT"
] | null | null | null | LIpipe/makemelucky.py | fedhere/getlucky | 1dec967fc6f771060435842b01580bd05fcfcd08 | [
"MIT"
] | null | null | null | LIpipe/makemelucky.py | fedhere/getlucky | 1dec967fc6f771060435842b01580bd05fcfcd08 | [
"MIT"
] | null | null | null | #################################################################
###############written by fbb, dkudrow, shillberry########################
#Reads all of the images in a directory, sorts them by Strehl
#Ratio or consecutive order, and stacks the specified top percent
#either aligned to a guide star, correlating in fou... | 34.436159 | 236 | 0.529677 | #################################################################
###############written by fbb, dkudrow, shillberry########################
#Reads all of the images in a directory, sorts them by Strehl
#Ratio or consecutive order, and stacks the specified top percent
#either aligned to a guide star, correlating in fou... | 0 | 0 | 0 | 3,125 | 0 | 23,006 | 0 | 0 | 319 |
43758600f0805e4b72ab6618d90986a56a45c8cf | 108 | py | Python | make_queue/views/api/__init__.py | mahoyen/web | 1d190a86e3277315804bfcc0b8f9abd4f9c1d780 | [
"MIT"
] | null | null | null | make_queue/views/api/__init__.py | mahoyen/web | 1d190a86e3277315804bfcc0b8f9abd4f9c1d780 | [
"MIT"
] | null | null | null | make_queue/views/api/__init__.py | mahoyen/web | 1d190a86e3277315804bfcc0b8f9abd4f9c1d780 | [
"MIT"
] | null | null | null | __all__ = ["reservation", "user_info"]
for _import in __all__:
__import__(__package__ + "." + _import)
| 21.6 | 43 | 0.685185 | __all__ = ["reservation", "user_info"]
for _import in __all__:
__import__(__package__ + "." + _import)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f9778d3fad1c03c5f766e60531c6817fd74b03eb | 2,825 | py | Python | cwb/tests/comparison/cuturi_solver.py | lingxiaoli94/CWB | 96bce8c82a7ec39fe730ef6ac372e52c6fadf70f | [
"MIT"
] | 8 | 2020-11-12T06:17:47.000Z | 2021-07-05T21:34:16.000Z | cwb/tests/comparison/cuturi_solver.py | lingxiaoli94/CWB | 96bce8c82a7ec39fe730ef6ac372e52c6fadf70f | [
"MIT"
] | null | null | null | cwb/tests/comparison/cuturi_solver.py | lingxiaoli94/CWB | 96bce8c82a7ec39fe730ef6ac372e52c6fadf70f | [
"MIT"
] | null | null | null |
g_centering_trick = False # doesn't change results much
g_sinkhorn_reg = 0.1
| 32.848837 | 146 | 0.657345 | from .common import load_source_list
import tensorflow as tf
import numpy as np
import ot
import os
import pickle
import argparse
g_centering_trick = False # doesn't change results much
g_sinkhorn_reg = 0.1
def free_support_barycenter(measures_locations, measures_weights, X_init, b=None, weights=None, numItermax=100... | 0 | 0 | 0 | 0 | 0 | 2,568 | 0 | -24 | 201 |
4ab8b4cb175d7b08154c39754dcc83a32f5daa8f | 1,272 | py | Python | Manual/procdocs.py | monkey0506/ags | 2f96ddf47e944efea2534386a4004849eb71372b | [
"Artistic-2.0"
] | 11 | 2015-01-25T09:59:17.000Z | 2019-07-08T15:06:06.000Z | Manual/procdocs.py | monkey0506/ags | 2f96ddf47e944efea2534386a4004849eb71372b | [
"Artistic-2.0"
] | 3 | 2019-05-09T01:24:14.000Z | 2019-06-12T12:16:33.000Z | Manual/procdocs.py | monkey0506/ags | 2f96ddf47e944efea2534386a4004849eb71372b | [
"Artistic-2.0"
] | 1 | 2019-08-01T20:32:35.000Z | 2019-08-01T20:32:35.000Z | #!/usr/bin/env python
import re
# Format generated .htm to have correct syntax and additional styling.
STYLE = """\
<style type=\"text/css\"><!--
body {
font-family: Verdana;
font-size: 10pt;
}
td {
font-family: Verdana;
font-size: 10pt;
}
a {
font-weight: bold
}
--></style>"""
endhea... | 21.2 | 76 | 0.586478 | #!/usr/bin/env python
import glob
import re
import sys
# Format generated .htm to have correct syntax and additional styling.
STYLE = """\
<style type=\"text/css\"><!--
body {
font-family: Verdana;
font-size: 10pt;
}
td {
font-family: Verdana;
font-size: 10pt;
}
a {
font-weight: bold
... | 0 | 0 | 0 | 0 | 0 | 772 | 0 | -21 | 91 |
a4ba527acb39a9d80fc5c236351945eea8bfa4dd | 474 | py | Python | 04_meter.py | whaleygeek/mb_solar | 479a714484ce67d4116ae065da1a9acd83f0bf61 | [
"MIT"
] | null | null | null | 04_meter.py | whaleygeek/mb_solar | 479a714484ce67d4116ae065da1a9acd83f0bf61 | [
"MIT"
] | null | null | null | 04_meter.py | whaleygeek/mb_solar | 479a714484ce67d4116ae065da1a9acd83f0bf61 | [
"MIT"
] | 1 | 2021-06-23T08:51:36.000Z | 2021-06-23T08:51:36.000Z |
P0_MAX = 812
# main program
while True:
reading = pin0.read_analog()
display.clear()
barchart(4, reading, P0_MAX)
if button_a.was_pressed():
pin2.write_digital(0) # off
if button_b.was_pressed():
pin2.write_digital(1) # on
sleep(1000) # 1 second
| 20.608696 | 36 | 0.580169 | from microbit import *
P0_MAX = 812
def barchart(y, v, vmax):
v = min(v, vmax)
leds = int(v * 5 / vmax)
for x in range(leds):
display.set_pixel(x, y, 9)
# main program
while True:
reading = pin0.read_analog()
display.clear()
barchart(4, reading, P0_MAX)
if button_a.wa... | 0 | 0 | 0 | 0 | 0 | 115 | 0 | 1 | 45 |
b99bc987d5e131f5d27c3e36eff7e9ec578eeb66 | 3,423 | py | Python | pipe/funnel.py | DeepLearning-Tools/TensorPipe | 404c5b4aa641d9d96285be04106204d2d66d9a79 | [
"Apache-2.0"
] | 1 | 2020-10-14T14:05:59.000Z | 2020-10-14T14:05:59.000Z | pipe/funnel.py | DeepLearning-Tools/TensorPipe | 404c5b4aa641d9d96285be04106204d2d66d9a79 | [
"Apache-2.0"
] | null | null | null | pipe/funnel.py | DeepLearning-Tools/TensorPipe | 404c5b4aa641d9d96285be04106204d2d66d9a79 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 Kartik Sharma
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in ... | 38.897727 | 92 | 0.593631 | """
Copyright 2020 Kartik Sharma
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in ... | 0 | 0 | 0 | 2,588 | 0 | 0 | 0 | 11 | 91 |
b75cf0d05deda7d29424eae416a6670d052ea06a | 11,042 | py | Python | tests/test_epics_motor.py | jyotiphy/pcdsdevices | d2bd7ed52311e1fa2d9f97b433059197b3e86387 | [
"BSD-3-Clause-LBNL"
] | 1 | 2021-06-15T14:09:42.000Z | 2021-06-15T14:09:42.000Z | tests/test_epics_motor.py | jyotiphy/pcdsdevices | d2bd7ed52311e1fa2d9f97b433059197b3e86387 | [
"BSD-3-Clause-LBNL"
] | null | null | null | tests/test_epics_motor.py | jyotiphy/pcdsdevices | d2bd7ed52311e1fa2d9f97b433059197b3e86387 | [
"BSD-3-Clause-LBNL"
] | 2 | 2020-10-30T22:10:46.000Z | 2021-01-21T18:51:50.000Z | import logging
from ophyd.sim import make_fake_device
from pcdsdevices.epics_motor import (IMS, EpicsMotorInterface, PCDSMotorBase)
logger = logging.getLogger(__name__)
def fake_class_setup(cls):
"""
Make the fake class and modify if needed
"""
FakeClass = make_fake_device(cls)
return FakeClass
... | 30.502762 | 79 | 0.665187 | import logging
import pytest
from bluesky import RunEngine
from bluesky.plan_stubs import close_run, open_run, stage, unstage
from ophyd.sim import make_fake_device
from ophyd.status import wait as status_wait
from pcdsdevices.epics_motor import (IMS, PMC100, BeckhoffAxis, EpicsMotor,
... | 0 | 1,766 | 0 | 0 | 249 | 6,849 | 0 | 320 | 549 |
339020908322b563ac2e0d2448a5293fc5ce7f51 | 4,796 | py | Python | lib/prophetview.py | stepanzh/chatty_sacred_deer | f827517ba295983c7d72639155b402f744300f91 | [
"MIT"
] | 3 | 2020-05-27T20:17:13.000Z | 2020-07-10T09:47:10.000Z | lib/prophetview.py | stepanzh/chatty_sacred_deer | f827517ba295983c7d72639155b402f744300f91 | [
"MIT"
] | null | null | null | lib/prophetview.py | stepanzh/chatty_sacred_deer | f827517ba295983c7d72639155b402f744300f91 | [
"MIT"
] | 1 | 2020-06-09T17:51:23.000Z | 2020-06-09T17:51:23.000Z | # import sys, time
# class TextIntonationDecoder:
# color_start = '\u001b' # ansi code start
# color_end = 'm' # ansi code end
# pause_code = '!pause'
# @classmethod
# def get_pause_code(cls):
# return cls.pause_code
# @classmethod
# def parse_color(cls, s:str):
# ... | 32.187919 | 100 | 0.485613 | # import sys, time
# class TextIntonationDecoder:
# color_start = '\u001b' # ansi code start
# color_end = 'm' # ansi code end
# pause_code = '!pause'
# @classmethod
# def get_pause_code(cls):
# return cls.pause_code
# @classmethod
# def parse_color(cls, s:str):
# ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
332d2200ce65f2dedbab6cf4d817d8d4bc45cf5d | 9,355 | py | Python | custom_components/meross_lan/devices/mts100.py | patrick-blom/meross_lan | dfab3133c6ed00b513cc1500b510e57c8eee58e2 | [
"MIT"
] | null | null | null | custom_components/meross_lan/devices/mts100.py | patrick-blom/meross_lan | dfab3133c6ed00b513cc1500b510e57c8eee58e2 | [
"MIT"
] | null | null | null | custom_components/meross_lan/devices/mts100.py | patrick-blom/meross_lan | dfab3133c6ed00b513cc1500b510e57c8eee58e2 | [
"MIT"
] | null | null | null | from __future__ import annotations
from homeassistant.components.climate.const import (PRESET_AWAY, PRESET_COMFORT, PRESET_SLEEP, HVAC_MODE_AUTO, HVAC_MODE_HEAT, HVAC_MODE_OFF)
from ..merossclient import const as mc # mEROSS cONST
MTS100_MODE_CUSTOM = 0
MTS100_MODE_COMFORT = 1 # aka 'Heat'
MTS100_MODE_SLEEP = 2 # ak... | 29.511041 | 109 | 0.656761 | from __future__ import annotations
from homeassistant.components.climate import (
DOMAIN as PLATFORM_CLIMATE,
ClimateEntity,
)
from homeassistant.components.climate.const import (
PRESET_AWAY, PRESET_COMFORT, PRESET_SLEEP, SUPPORT_PRESET_MODE, SUPPORT_TARGET_TEMPERATURE,
CURRENT_HVAC_HEAT, CURRENT_HVAC... | 0 | 1,340 | 3,023 | 2,548 | 0 | 0 | 0 | 429 | 159 |
d2d2692388424382d7772cf2657b8d5b5b97d4c5 | 19,041 | py | Python | models/learning_sparsegp.py | sebtsh/PBO | e40adbb488fbf848de2ac8fa01de77cf2ca71e7d | [
"MIT"
] | 3 | 2021-01-26T05:19:31.000Z | 2022-01-06T19:36:24.000Z | models/learning_sparsegp.py | sebtsh/PBO | e40adbb488fbf848de2ac8fa01de77cf2ca71e7d | [
"MIT"
] | 1 | 2021-01-26T05:27:56.000Z | 2021-01-28T05:24:14.000Z | models/learning_sparsegp.py | sebtsh/PBO | e40adbb488fbf848de2ac8fa01de77cf2ca71e7d | [
"MIT"
] | 1 | 2021-12-15T07:30:47.000Z | 2021-12-15T07:30:47.000Z | import time
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
import gpflow
from gpflow.utilities import set_trainable
def elbo_fullcov(q_mu,
q_sqrt_latent,
inducing_inputs,
D_idxs,
max_idxs,
kernel,
... | 39.66875 | 156 | 0.65422 | import time
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
import gpflow
from gpflow.utilities import set_trainable
def elbo_fullcov(q_mu,
q_sqrt_latent,
inducing_inputs,
D_idxs,
max_idxs,
kernel,
... | 0 | 0 | 0 | 0 | 0 | 1,660 | 0 | 0 | 27 |
f0d4ba7982bf76baf6d8ccab2c0d603da68b5643 | 148 | py | Python | tests/testing_config/custom_components/test_standalone.py | veresspeter/home-assistant | a3c22c6eec2c77a28a8fa859e899984269708666 | [
"Apache-2.0"
] | 11 | 2017-09-25T13:11:33.000Z | 2020-05-16T21:54:28.000Z | tests/testing_config/custom_components/test_standalone.py | veresspeter/home-assistant | a3c22c6eec2c77a28a8fa859e899984269708666 | [
"Apache-2.0"
] | 125 | 2018-12-11T07:31:20.000Z | 2021-07-27T08:20:03.000Z | tests/testing_config/custom_components/test_standalone.py | veresspeter/home-assistant | a3c22c6eec2c77a28a8fa859e899984269708666 | [
"Apache-2.0"
] | 3 | 2018-05-22T18:52:01.000Z | 2019-07-18T21:30:45.000Z | """Provide a mock standalone component."""
DOMAIN = 'test_standalone'
def setup(hass, config):
"""Mock a successful setup."""
return True
| 18.5 | 42 | 0.675676 | """Provide a mock standalone component."""
DOMAIN = 'test_standalone'
def setup(hass, config):
"""Mock a successful setup."""
return True
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3b28f0fd72990fffe005e50f2256e6601c21ef56 | 13,471 | py | Python | apps/keyboard/js/imes/latin/dictionaries/xml2dict.py | lightsofapollo/gaia | c0ac6c7a784da15b30809b9108975c8c7345288d | [
"Apache-2.0"
] | null | null | null | apps/keyboard/js/imes/latin/dictionaries/xml2dict.py | lightsofapollo/gaia | c0ac6c7a784da15b30809b9108975c8c7345288d | [
"Apache-2.0"
] | null | null | null | apps/keyboard/js/imes/latin/dictionaries/xml2dict.py | lightsofapollo/gaia | c0ac6c7a784da15b30809b9108975c8c7345288d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This script reads a XML-formatted word list and produces a dictionary
file used by the FirefoxOS virtual keyboard for word suggestions and
auto corrections.
The word lists come from the Android source: https://android.googlesource.com/platform/packages/inputmethods/LatinIME/+/master/dictio... | 32.304556 | 140 | 0.629797 | # -*- coding: utf-8 -*-
"""
This script reads a XML-formatted word list and produces a dictionary
file used by the FirefoxOS virtual keyboard for word suggestions and
auto corrections.
The word lists come from the Android source: https://android.googlesource.com/platform/packages/inputmethods/LatinIME/+/master/dictio... | 0 | 0 | 0 | 4,769 | 0 | 4,314 | 0 | -18 | 294 |
ad675be89f3dd71f339323b20f1a2ef697ee66ce | 1,526 | py | Python | BitTorrent-5.2.2/BitTorrent/GUI_wx/StatusLight.py | jpabb7/p2pScrapper | 0fd57049606864223eb45f956a58adda1231af88 | [
"MIT"
] | 4 | 2016-04-26T03:43:54.000Z | 2016-11-17T08:09:04.000Z | BitTorrent-5.2.2/BitTorrent/GUI_wx/StatusLight.py | jpabb7/p2pScrapper | 0fd57049606864223eb45f956a58adda1231af88 | [
"MIT"
] | 17 | 2015-01-05T21:06:22.000Z | 2015-12-07T20:45:44.000Z | BitTorrent-5.2.2/BitTorrent/GUI_wx/StatusLight.py | jpabb7/p2pScrapper | 0fd57049606864223eb45f956a58adda1231af88 | [
"MIT"
] | 7 | 2015-07-28T09:17:17.000Z | 2021-11-07T02:29:41.000Z | # The contents of this file are subject to the BitTorrent Open Source License
# Version 1.1 (the License). You may not copy or use this file, in either
# source code or executable form, except in compliance with the License. You
# may obtain a copy of the License at http://www.bittorrent.com/license/.
#
# Software di... | 30.52 | 77 | 0.665793 | # The contents of this file are subject to the BitTorrent Open Source License
# Version 1.1 (the License). You may not copy or use this file, in either
# source code or executable form, except in compliance with the License. You
# may obtain a copy of the License at http://www.bittorrent.com/license/.
#
# Software di... | 0 | 0 | 0 | 825 | 0 | 0 | 0 | 29 | 104 |
8a8a7da767ee0aff5d8f1d6a0b4f8d75563f33f2 | 5,888 | py | Python | kinto/core/testing.py | dreuse/kinto | 533037ad421b63419f9883653a428683c67d43b8 | [
"Apache-2.0"
] | null | null | null | kinto/core/testing.py | dreuse/kinto | 533037ad421b63419f9883653a428683c67d43b8 | [
"Apache-2.0"
] | null | null | null | kinto/core/testing.py | dreuse/kinto | 533037ad421b63419f9883653a428683c67d43b8 | [
"Apache-2.0"
] | null | null | null | import os
import unittest
from kinto.core import statsd
from kinto.core.utils import sqlalchemy, memcache, encode64
skip_if_travis = unittest.skipIf("TRAVIS" in os.environ, "travis")
skip_if_no_postgresql = unittest.skipIf(sqlalchemy is None, "postgresql is not installed.")
skip_if_no_memcached = unittest.skipIf(memca... | 32.351648 | 91 | 0.657439 | import os
import threading
import unittest
from collections import defaultdict
from unittest import mock
import webtest
from cornice import errors as cornice_errors
from pyramid.url import parse_url_overrides
from kinto.core import DEFAULT_SETTINGS
from kinto.core import statsd
from kinto.core.storage import generato... | 0 | 1,694 | 0 | 2,895 | 0 | 98 | 0 | 108 | 293 |
06c1cb9b0a70ddef0acfcdc28ee415680220cfb4 | 3,934 | py | Python | flamio/player.py | Jkreid/flamio | c7d98b7e39f0a8e5792a236e9508632d294525b2 | [
"MIT"
] | null | null | null | flamio/player.py | Jkreid/flamio | c7d98b7e39f0a8e5792a236e9508632d294525b2 | [
"MIT"
] | 11 | 2020-05-29T18:14:58.000Z | 2021-07-21T02:41:14.000Z | flamio/player.py | Jkreid/flamio | c7d98b7e39f0a8e5792a236e9508632d294525b2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 17 11:31:40 2021
@author: justi
"""
| 24.898734 | 75 | 0.609049 | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 17 11:31:40 2021
@author: justi
"""
import utils
import play
import spotify
import time as t
from abc import ABC, abstractmethod
class Player(ABC):
def __init__(self, *args, **kwargs):
super().__init__()
def play_track(self, *args, **kwargs):
... | 0 | 1,329 | 0 | 2,381 | 0 | 0 | 0 | -17 | 157 |
52010871575d24c3de36b7385ca8ba57577b8969 | 10,688 | py | Python | typeddfs/_mixins/_ini_like_mixin.py | dmyersturnbull/typed-dfs | 57504da6cf2085e96ef62f35afcc2f733a9910e0 | [
"Apache-2.0"
] | 5 | 2020-07-14T14:03:35.000Z | 2022-01-15T03:34:15.000Z | typeddfs/_mixins/_ini_like_mixin.py | kokellab/typed-dfs | 11c80080446a28e618a379569606f1c1ba387062 | [
"Apache-2.0"
] | 83 | 2021-01-06T06:19:12.000Z | 2022-03-28T03:06:18.000Z | typeddfs/_mixins/_ini_like_mixin.py | kokellab/typed-dfs | 11c80080446a28e618a379569606f1c1ba387062 | [
"Apache-2.0"
] | null | null | null | """
Mixin for INI, .properties, and TOML.
"""
from __future__ import annotations
__all__ = ["_IniLikeMixin"]
| 32.785276 | 101 | 0.539577 | """
Mixin for INI, .properties, and TOML.
"""
from __future__ import annotations
import os
from typing import Optional, Sequence, Set, Union
import pandas as pd
from typeddfs.df_errors import UnsupportedOperationError
from typeddfs.utils import IoUtils, ParseUtils, Utils
class _IniLikeMixin:
def to_properties(... | 0 | 5,268 | 0 | 5,091 | 0 | 0 | 0 | 81 | 136 |
d91f2664e77c2b0a606d4e795da17ecfe4662d86 | 476 | py | Python | Tag_03.py | Gravitar64/Advent-of-Code-2016 | d998dc28af626061117c6b1cab643292e1baf047 | [
"Apache-2.0"
] | null | null | null | Tag_03.py | Gravitar64/Advent-of-Code-2016 | d998dc28af626061117c6b1cab643292e1baf047 | [
"Apache-2.0"
] | null | null | null | Tag_03.py | Gravitar64/Advent-of-Code-2016 | d998dc28af626061117c6b1cab643292e1baf047 | [
"Apache-2.0"
] | null | null | null | from time import perf_counter as pfc
puzzle = load('Tag_03.txt')
start = pfc()
print(solve(puzzle), pfc() - start)
| 23.8 | 78 | 0.632353 | from time import perf_counter as pfc
def load(file):
with open(file) as f:
return [[int(l) for l in t.split()] for t in f]
def is_valid(triangle):
a,b,c = sorted(triangle)
return a+b > c
def solve(p):
part1 = sum([is_valid(triangle) for triangle in p])
p, l = [list(t) for t in zip(*p)], len(p)
r... | 0 | 0 | 0 | 0 | 0 | 285 | 0 | 0 | 73 |
c31aae7f812d53a79501329a5513905db184e3c8 | 184 | py | Python | annoy.py | jlgrady1/annoyotron | 4f6de578660accc27d58ed45935671fb116d5638 | [
"MIT"
] | null | null | null | annoy.py | jlgrady1/annoyotron | 4f6de578660accc27d58ed45935671fb116d5638 | [
"MIT"
] | null | null | null | annoy.py | jlgrady1/annoyotron | 4f6de578660accc27d58ed45935671fb116d5638 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main()
| 12.266667 | 47 | 0.603261 | import time
from datetime import datetime
def main():
while True:
time.sleep(2)
print '{} hello'.format(datetime.now())
if __name__ == '__main__':
main()
| 0 | 0 | 0 | 0 | 0 | 76 | 0 | -2 | 68 |
a1a9cd8bb95b4cff28581a3e8d98ef0e089e6f08 | 838 | py | Python | pyasst/command.py | NvwaOS/nvwaos-tools | 757c72da5f7bef560f48a635d05e88e45e79fd3e | [
"MIT"
] | null | null | null | pyasst/command.py | NvwaOS/nvwaos-tools | 757c72da5f7bef560f48a635d05e88e45e79fd3e | [
"MIT"
] | null | null | null | pyasst/command.py | NvwaOS/nvwaos-tools | 757c72da5f7bef560f48a635d05e88e45e79fd3e | [
"MIT"
] | null | null | null |
PAUSE = {
'windows': 'PAUSE',
'macos': None,
'linux': None,
'unix': None
}
CLEAR = {
'windows': 'CLS',
'macos': 'clear',
'linux': 'clear',
'unix': 'clear'
}
| 17.829787 | 43 | 0.572792 | import os
from . import env
PAUSE = {
'windows': 'PAUSE',
'macos': None,
'linux': None,
'unix': None
}
CLEAR = {
'windows': 'CLS',
'macos': 'clear',
'linux': 'clear',
'unix': 'clear'
}
def _select_cmd_(commands: dict) -> str:
if env.isWindows():
return commands['windows']... | 39 | 0 | 0 | 0 | 0 | 510 | 0 | -16 | 136 |
4215fb0c184c70f06d0c10bc38e20eb616678168 | 647 | py | Python | fairy/tf/tf_load.py | qilutong/fairy | e4d40c5d3d6d431875a49c4f708ee278ab795901 | [
"MIT"
] | null | null | null | fairy/tf/tf_load.py | qilutong/fairy | e4d40c5d3d6d431875a49c4f708ee278ab795901 | [
"MIT"
] | null | null | null | fairy/tf/tf_load.py | qilutong/fairy | e4d40c5d3d6d431875a49c4f708ee278ab795901 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@FileName : tf_load.py
@Description : tf
@Author :
@Email : qilutong@yahoo.com
@Time : 2019-05-15 19:08
@Modify : None
"""
from __future__ import absolute_import, division, print_function
import tensorflow as tf
def load_graph(model_file, name=None):
"""
... | 20.21875 | 64 | 0.627512 | # -*- coding: utf-8 -*-
"""
@FileName : tf_load.py
@Description : 加载tf模型
@Author : 齐鲁桐
@Email : qilutong@yahoo.com
@Time : 2019-05-15 19:08
@Modify : None
"""
from __future__ import absolute_import, division, print_function
import tensorflow as tf
def load_graph(model_file, name=None):
... | 69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5fa2f7f9bc06248f6a52d7d56ea84b451e48777b | 45,228 | py | Python | StockAndFlowInPython/sfd_canvas/interactive_sfd.py | Rutherford1895/SFD_Canvas | 2f8de22e70950807bb6ddd6c5e361722638e0e55 | [
"MIT"
] | 3 | 2021-05-29T09:19:09.000Z | 2022-03-27T14:30:39.000Z | StockAndFlowInPython/sfd_canvas/interactive_sfd.py | wzh1895/Stock-and-Flow-in-Python | 2f8de22e70950807bb6ddd6c5e361722638e0e55 | [
"MIT"
] | 1 | 2019-06-13T12:47:12.000Z | 2019-06-13T12:47:12.000Z | StockAndFlowInPython/sfd_canvas/interactive_sfd.py | wzh1895/Stock-and-Flow-in-Python | 2f8de22e70950807bb6ddd6c5e361722638e0e55 | [
"MIT"
] | 1 | 2022-03-27T14:48:20.000Z | 2022-03-27T14:48:20.000Z | import sys
if __name__ == '__main__':
app = QApplication(sys.argv)
main_window = QMainWindow()
main_window.setWindowTitle("Interactive SFD")
main_window.setMinimumWidth(960)
main_window.setMinimumHeight(800)
interactive_sfd = InteractiveSFD()
main_window.setCentralWidget(int... | 43.074286 | 125 | 0.623375 | import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg
from StockAndFlowInPython.sfd_canvas.interactive_sfd_ui import Ui_widget_interactive_sfd
from StockAndFlowInPython.parsing.XMILE_parsing import text_to_equation,... | 0 | 724 | 0 | 43,332 | 0 | 0 | 0 | 290 | 499 |
daa5ddffa682a10fd503e8a050698e96c91acd3f | 311 | py | Python | Decompose_Factors.py | arunbutte/Python_Codes | 537ed529fb87f9fc050c5236ffcbde8c2cd93b00 | [
"MIT"
] | null | null | null | Decompose_Factors.py | arunbutte/Python_Codes | 537ed529fb87f9fc050c5236ffcbde8c2cd93b00 | [
"MIT"
] | null | null | null | Decompose_Factors.py | arunbutte/Python_Codes | 537ed529fb87f9fc050c5236ffcbde8c2cd93b00 | [
"MIT"
] | null | null | null | n = 84
| 23.923077 | 41 | 0.369775 | n = 84
def decomposed(n):
prime = [2, 3, 5, 7, 11, 13, 17, 19]
dict = {s:0 for s in prime}
res = ""
for p in prime:
while (n % p == 0):
dict[p] += 1
n = n / p
print(p, n, dict)
for p in prime:
print(p,"^",dict[p]) | 0 | 0 | 0 | 0 | 0 | 281 | 0 | 0 | 23 |
62d4d854c6d74346169c942ff68bfd4e92e735d1 | 2,468 | py | Python | backend/optimal_v_dbs_value_iteration.py | DerekDick/reinforce-py | 95bef3ed2ed7aa33dd5ef177a6cdfd6867298365 | [
"Apache-2.0"
] | 1 | 2021-10-19T06:32:13.000Z | 2021-10-19T06:32:13.000Z | backend/optimal_v_dbs_value_iteration.py | DerekDick/reinforce-py | 95bef3ed2ed7aa33dd5ef177a6cdfd6867298365 | [
"Apache-2.0"
] | 15 | 2021-05-11T23:33:10.000Z | 2022-02-27T10:57:12.000Z | backend/optimal_v_dbs_value_iteration.py | DerekDick/reinforce-py | 95bef3ed2ed7aa33dd5ef177a6cdfd6867298365 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Jianfeng Hou <frankderekdick@gmail.com>
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless req... | 33.351351 | 133 | 0.76094 | # Copyright 2020 Jianfeng Hou <frankderekdick@gmail.com>
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless req... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -23 | 68 |
cfeadc6235189352f8468ef5082c19f7fd79e3ca | 5,895 | py | Python | imagenet_training/models/resnet/resnet.py | daniilgaltsev/ImageNet-Training | 9ca1d26cde07782398c7f366d5bf510c9e988236 | [
"MIT"
] | null | null | null | imagenet_training/models/resnet/resnet.py | daniilgaltsev/ImageNet-Training | 9ca1d26cde07782398c7f366d5bf510c9e988236 | [
"MIT"
] | null | null | null | imagenet_training/models/resnet/resnet.py | daniilgaltsev/ImageNet-Training | 9ca1d26cde07782398c7f366d5bf510c9e988236 | [
"MIT"
] | null | null | null | """Module with resnet like models."""
import torch.nn as nn
from .blocks import ResNetBlock, ResNetBottleneck
TYPE_TO_ARGS = {
"resnet18": ([2, 2, 2, 2], ResNetBlock),
"resnet34": ([3, 4, 6, 3], ResNetBlock),
"resnet50": ([3, 4, 6, 3], ResNetBottleneck),
"resnet101": ([3, 4, 23, 3], ResNetBottleneck... | 36.165644 | 118 | 0.617812 | """Module with resnet like models."""
import argparse
from collections import OrderedDict
import importlib
from typing import Any, Dict, List, Optional, Type, Union
import torch
import torch.nn as nn
from .blocks import ResNetBlock, ResNetBottleneck, conv1x1
TYPE_TO_ARGS = {
"resnet18": ([2, 2, 2, 2], ResNetB... | 0 | 609 | 0 | 4,442 | 0 | 214 | 0 | 39 | 181 |
8ce90a8b9109f0cd1d6c28f3238050dc9f224702 | 236 | py | Python | fcsSimpleMooc/forum/forms.py | Franklin-Siqueira/mooc-lab | 0a2cd48971a97901f2d50e4013ddda1eaece3430 | [
"MIT"
] | null | null | null | fcsSimpleMooc/forum/forms.py | Franklin-Siqueira/mooc-lab | 0a2cd48971a97901f2d50e4013ddda1eaece3430 | [
"MIT"
] | null | null | null | fcsSimpleMooc/forum/forms.py | Franklin-Siqueira/mooc-lab | 0a2cd48971a97901f2d50e4013ddda1eaece3430 | [
"MIT"
] | null | null | null | '''
forms for the forum's related instances
. ReplyForm
. Meta:
'''
#
| 13.882353 | 39 | 0.618644 | '''
forms for the forum's related instances
. ReplyForm
. Meta:
'''
from django import forms
#
from .models import Reply
class ReplyForm(forms.ModelForm):
class Meta:
model = Reply
fields = ['reply']
| 0 | 0 | 0 | 78 | 0 | 0 | 0 | 7 | 67 |
58dfa1669964296505d0705409094ca0297eef0d | 5,982 | py | Python | SpatialiseTEST.py | Senzt/CNNBSL | 9b5dcf4381e4ca4321d0c6bd2472dbe8ec9af810 | [
"MIT"
] | 2 | 2021-07-21T14:12:02.000Z | 2021-07-21T14:13:19.000Z | SpatialiseTEST.py | Senzt/CNNBSL | 9b5dcf4381e4ca4321d0c6bd2472dbe8ec9af810 | [
"MIT"
] | null | null | null | SpatialiseTEST.py | Senzt/CNNBSL | 9b5dcf4381e4ca4321d0c6bd2472dbe8ec9af810 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 21 18:43:20 2021
@author: Waradon Senzt Phokhinanan
"""
############################################################################################
import numpy as np
import os
#################################################################################... | 32.51087 | 148 | 0.526747 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 21 18:43:20 2021
@author: Waradon Senzt Phokhinanan
"""
############################################################################################
import math
import librosa
import scipy.io
import matplotlib.pyplot as plt
from scipy import signal
import ... | 0 | 0 | 0 | 0 | 0 | 2,985 | 0 | -9 | 219 |
8695ab1daa525e73eb68ec88d8c37272c8c11f52 | 5,072 | py | Python | tests/test_dgraph.py | superphy/prairiedog | cc7031dab8a453bdbbd7446c80b4d126ee62f1db | [
"Apache-2.0"
] | null | null | null | tests/test_dgraph.py | superphy/prairiedog | cc7031dab8a453bdbbd7446c80b4d126ee62f1db | [
"Apache-2.0"
] | 125 | 2018-06-29T15:00:31.000Z | 2021-11-15T17:48:43.000Z | tests/test_dgraph.py | superphy/prairiedog | cc7031dab8a453bdbbd7446c80b4d126ee62f1db | [
"Apache-2.0"
] | null | null | null | import logging
log = logging.getLogger('prairiedog')
# TODO: this currently runs too slow for tests
# def test_dgraph_preload(dg):
# dg.preload()
# assert True
| 27.122995 | 78 | 0.619282 | import subprocess
import logging
from prairiedog.node import Node
from prairiedog.edge import Edge
from prairiedog.dgraph import Dgraph
from prairiedog.graph import Graph
from prairiedog.errors import GraphException
log = logging.getLogger('prairiedog')
def test_dgraph_install():
r = subprocess.run(
['d... | 0 | 0 | 0 | 0 | 0 | 4,388 | 0 | 69 | 432 |
16d9e3095b7bc0e853b04d38ab2992688abaa009 | 13,258 | py | Python | analyze_prob_attn.py | jiacheng-xu/text-sum-uncertainty | 0c0f2ca7719a2086f84ae4797f793b9e5e23b274 | [
"MIT"
] | 25 | 2020-10-16T01:43:22.000Z | 2021-06-04T00:46:05.000Z | analyze_prob_attn.py | jiacheng-xu/text-sum-uncertainty | 0c0f2ca7719a2086f84ae4797f793b9e5e23b274 | [
"MIT"
] | 1 | 2020-10-16T02:58:29.000Z | 2020-10-16T03:51:38.000Z | analyze_prob_attn.py | jiacheng-xu/text-sum-uncertainty | 0c0f2ca7719a2086f84ae4797f793b9e5e23b274 | [
"MIT"
] | null | null | null |
import os, random, pickle
import numpy as np
# we are going to show for each timestep, for each layer, what's the majority attention.
# majority attention excluding roadmark tokens
# majority
index_of_bpe = 1
compar_set1 = ['last_inp', 'cur_inp', 'cur_pred', 'next_pred']
compar_set2 = ['top1_most_common', 'top1_d... | 34.258398 | 124 | 0.604314 | import statistics
import os, random, pickle
import numpy as np
# we are going to show for each timestep, for each layer, what's the majority attention.
# majority attention excluding roadmark tokens
# majority
from typing import List
import scipy
from collections import Counter
from util import convert_enc_attn, lo... | 0 | 0 | 0 | 0 | 0 | 10,804 | 0 | 37 | 502 |
e20f29720dcb2681e0f29205bf0745dbf1c1cd01 | 1,979 | py | Python | marketplace/marketplace/urls.py | kecs/marketplace | 92f882a651f97a2b3134607edd9205202dd830e6 | [
"MIT"
] | 1 | 2019-11-11T19:49:37.000Z | 2019-11-11T19:49:37.000Z | marketplace/marketplace/urls.py | kecs/marketplace | 92f882a651f97a2b3134607edd9205202dd830e6 | [
"MIT"
] | 1 | 2020-06-26T07:53:02.000Z | 2020-07-08T14:39:20.000Z | marketplace/marketplace/urls.py | kecs/marketplace | 92f882a651f97a2b3134607edd9205202dd830e6 | [
"MIT"
] | null | null | null | from django.conf.urls.static import static
from django.conf import settings
"""marketplace URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import view... | 43.977778 | 89 | 0.688732 | from django.conf.urls.static import static
from django.conf import settings
"""marketplace URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import view... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0 |
825da5bfb8ec69653b0d4b0338aa7c81c3b8cbc5 | 1,878 | py | Python | sound_player/sound.py | Krozark/sound-player | ad592b364d0d8303c499abaa304f8a698e5fbedb | [
"BSD-2-Clause"
] | null | null | null | sound_player/sound.py | Krozark/sound-player | ad592b364d0d8303c499abaa304f8a698e5fbedb | [
"BSD-2-Clause"
] | 1 | 2021-08-24T14:14:03.000Z | 2021-08-25T08:06:32.000Z | sound_player/sound.py | Krozark/sound-player | ad592b364d0d8303c499abaa304f8a698e5fbedb | [
"BSD-2-Clause"
] | 1 | 2021-12-27T20:44:25.000Z | 2021-12-27T20:44:25.000Z | import logging
logger = logging.getLogger(__name__)
| 25.04 | 81 | 0.599574 | import logging
import os
from currentplatform import platform
from sound_player.common import StatusObject, STATUS
logger = logging.getLogger(__name__)
class BaseSound(StatusObject):
def __init__(self, filepath, loop=None):
super().__init__()
self._filepath = filepath
self._loop = loop
... | 0 | 0 | 0 | 1,700 | 0 | 0 | 0 | 34 | 91 |
0027cee07361c62a69c0d0077181b5576bf40d76 | 5,488 | py | Python | experiments/actors.py | Bellboy-Capstone/System | debf2e06580bf2354cd1aac0a3ca4d2b52a3da6c | [
"MIT"
] | null | null | null | experiments/actors.py | Bellboy-Capstone/System | debf2e06580bf2354cd1aac0a3ca4d2b52a3da6c | [
"MIT"
] | 12 | 2020-10-06T03:22:02.000Z | 2020-12-04T01:46:33.000Z | experiments/actors.py | Bellboy-Capstone/System | debf2e06580bf2354cd1aac0a3ca4d2b52a3da6c | [
"MIT"
] | null | null | null | import logging
from time import sleep
import RPi.GPIO as GPIO
from thespian.actors import ActorSystem
# Logging
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger(__name__)
# Sensor
trigPin = 16
echoPin = 18
MAX_DISTANCE = 220
timeOut = MAX_DISTANCE * 60
GPIO.setmode(GPIO.BOARD) # use PHYSICAL GPIO ... | 33.463415 | 163 | 0.646319 | import logging
import time
from datetime import timedelta
from time import sleep
import RPi.GPIO as GPIO
from thespian.actors import Actor, ActorSystem, ActorTypeDispatcher
# Logging
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger(__name__)
# Sensor
trigPin = 16
echoPin = 18
MAX_DISTANCE = 220
time... | 0 | 0 | 0 | 4,083 | 0 | 0 | 0 | 27 | 113 |
016c6c3725d37f7ecd517f61fbe94cdaf534984a | 1,220 | py | Python | sdk/subscription/azure-mgmt-subscription/azure/mgmt/subscription/models/subscription_client_enums.py | Ochirkhuyag/azure-sdk-for-python | cd7236f498f86fb8aeb047a536b83aef5c7160c1 | [
"MIT"
] | null | null | null | sdk/subscription/azure-mgmt-subscription/azure/mgmt/subscription/models/subscription_client_enums.py | Ochirkhuyag/azure-sdk-for-python | cd7236f498f86fb8aeb047a536b83aef5c7160c1 | [
"MIT"
] | null | null | null | sdk/subscription/azure-mgmt-subscription/azure/mgmt/subscription/models/subscription_client_enums.py | Ochirkhuyag/azure-sdk-for-python | cd7236f498f86fb8aeb047a536b83aef5c7160c1 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 21.403509 | 76 | 0.596721 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 0 | 0 | 0 | 580 | 0 | 0 | 0 | 0 | 161 |
7f3ed65cdeb4ef21c1249ff30bb0314c140e2b1c | 1,386 | py | Python | web/main/services.py | Mikhail-Gorelov/django-blog-master | 7fd18f228f795773abb8228999d8e331dcfcf619 | [
"MIT"
] | null | null | null | web/main/services.py | Mikhail-Gorelov/django-blog-master | 7fd18f228f795773abb8228999d8e331dcfcf619 | [
"MIT"
] | 1 | 2022-03-28T08:23:26.000Z | 2022-03-28T08:23:26.000Z | web/main/services.py | Mikhail-Gorelov/django-blog-master | 7fd18f228f795773abb8228999d8e331dcfcf619 | [
"MIT"
] | 1 | 2022-01-06T15:14:21.000Z | 2022-01-06T15:14:21.000Z | from django.contrib.auth import get_user_model
User = get_user_model()
| 27.72 | 80 | 0.662338 | from django.contrib.auth import get_user_model
from auth_app.utils import get_activate_key
from main.decorators import except_shell
from src.celery import app
from auth_app.tasks import send_information_email
from django.conf import settings
from microservice_request.services import MicroServiceConnect, ConnectionServ... | 0 | 815 | 0 | 50 | 0 | 0 | 0 | 143 | 303 |
b42737d22ed321c0765451444ca355d7fda9e050 | 704 | py | Python | Exams/01. Python Advanced Exam - 23 February 2020/02. Solutions/01. ExpressionEvaluator.py | indieza/Python-Developing | f7b5fa7e9ca5d9e8ad30fc7d2a1a21e2ad4b75a4 | [
"MIT"
] | null | null | null | Exams/01. Python Advanced Exam - 23 February 2020/02. Solutions/01. ExpressionEvaluator.py | indieza/Python-Developing | f7b5fa7e9ca5d9e8ad30fc7d2a1a21e2ad4b75a4 | [
"MIT"
] | null | null | null | Exams/01. Python Advanced Exam - 23 February 2020/02. Solutions/01. ExpressionEvaluator.py | indieza/Python-Developing | f7b5fa7e9ca5d9e8ad30fc7d2a1a21e2ad4b75a4 | [
"MIT"
] | null | null | null | import math
inputItems = input().split(' ')
sum = 0
numbers = []
operators = []
isFirst = True
for item in inputItems:
if item == '*' or item == '/' or item == '+' or item == '-':
for number in numbers:
if isFirst:
sum = int(number)
isFirst = False
e... | 24.275862 | 64 | 0.411932 | import math
inputItems = input().split(' ')
sum = 0
numbers = []
operators = []
isFirst = True
for item in inputItems:
if item == '*' or item == '/' or item == '+' or item == '-':
for number in numbers:
if isFirst:
sum = int(number)
isFirst = False
e... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5f620067b7dd51b70d58550f24215b168300ba68 | 2,925 | py | Python | barbican-8.0.0/barbican/tests/objects/test_ovo_project.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 177 | 2015-01-02T09:35:53.000Z | 2022-02-26T01:43:55.000Z | barbican/tests/objects/test_ovo_project.py | kkutysllb/barbican | 7b14d983e0dce6dcffe9781b05c52335b8203fc7 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | barbican/tests/objects/test_ovo_project.py | kkutysllb/barbican | 7b14d983e0dce6dcffe9781b05c52335b8203fc7 | [
"Apache-2.0"
] | 87 | 2015-01-13T17:33:40.000Z | 2021-11-09T05:30:36.000Z | # Copyright 2018 Fujitsu.
#
# 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... | 45.703125 | 78 | 0.669402 | # Copyright 2018 Fujitsu.
#
# 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... | 0 | 0 | 0 | 2,182 | 0 | 0 | 0 | 50 | 89 |
15f0edc364933154a2544a8fde7c9ea93ea09e27 | 5,933 | py | Python | ftl/data_manager/federated_data_manager.py | microsoft/OpenMSFTL | 0d18ceaf6f9a7859c7f4124ecf41ded5ffe3b03e | [
"MIT"
] | 8 | 2020-09-07T08:20:39.000Z | 2022-03-04T21:20:06.000Z | ftl/data_manager/federated_data_manager.py | microsoft/OpenMSFTL | 0d18ceaf6f9a7859c7f4124ecf41ded5ffe3b03e | [
"MIT"
] | 1 | 2020-11-06T20:14:37.000Z | 2020-11-06T20:14:37.000Z | ftl/data_manager/federated_data_manager.py | microsoft/OpenMSFTL | 0d18ceaf6f9a7859c7f4124ecf41ded5ffe3b03e | [
"MIT"
] | 3 | 2020-10-21T01:15:13.000Z | 2021-11-10T11:23:47.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License
| 45.992248 | 114 | 0.612169 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License
from ftl.agents import Client, Server
from ftl.training_utils import cycle
from torchvision import datasets
from torch.utils.data import DataLoader, Subset
import torch
import numpy as np
from typing import Dict, List
class DataManager:
"""
... | 0 | 470 | 0 | 5,148 | 0 | 0 | 0 | 64 | 178 |
a71252621d3fc9836134cc749733262b3a6efbd5 | 5,686 | py | Python | botlist.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | botlist.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | botlist.py | Botomatik/JackBot | 58651d8b5a5bcead2a2eb79849019cb4f972b7cd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Allows access to the site's bot user list.
The function refresh() downloads the current bot user list and saves
it to disk. It is run automatically when a bot first tries to get this
data.
"""
# (C) Daniel Herding, 2005
# (C) Dr. Trigon, 2009-2010
# (C) Pywikipedia bot team, 2010-2012
#
# ... | 31.765363 | 101 | 0.563313 | # -*- coding: utf-8 -*-
"""
Allows access to the site's bot user list.
The function refresh() downloads the current bot user list and saves
it to disk. It is run automatically when a bot first tries to get this
data.
"""
# (C) Daniel Herding, 2005
# (C) Dr. Trigon, 2009-2010
# (C) Pywikipedia bot team, 2010-2012
#
# ... | 0 | 0 | 0 | 0 | 0 | 3,242 | 0 | -16 | 180 |
be27dc717f95dfa134a4a0eb6d9557499ae498f7 | 6,841 | py | Python | tx2-setup/slam_front_end/tools/evaluate_communication.py | SnowCarter/DOOR-SLAM | cf56d2b4b7a21ed7c6445f01600408c9dd5235c6 | [
"MIT"
] | null | null | null | tx2-setup/slam_front_end/tools/evaluate_communication.py | SnowCarter/DOOR-SLAM | cf56d2b4b7a21ed7c6445f01600408c9dd5235c6 | [
"MIT"
] | null | null | null | tx2-setup/slam_front_end/tools/evaluate_communication.py | SnowCarter/DOOR-SLAM | cf56d2b4b7a21ed7c6445f01600408c9dd5235c6 | [
"MIT"
] | null | null | null | import numpy as np
path = '/Users/benjaminramtoula/Documents/Cours/POLYMTL/MISTLAB/SLAM/decentralized_slam_project/logs/'
dir = '2019-08-22_11-43-20_0.13_20/'
timestamps_combined = []
nb_kf_used = []
data_exchanged_f_m_q = []
data_exchanged_f_m_a = []
data_exchanged_r_s_q = []
with open(path+dir+'find_matches_query.... | 41.713415 | 144 | 0.701944 | import numpy as np
path = '/Users/benjaminramtoula/Documents/Cours/POLYMTL/MISTLAB/SLAM/decentralized_slam_project/logs/'
dir = '2019-08-22_11-43-20_0.13_20/'
timestamps_combined = []
nb_kf_used = []
data_exchanged_f_m_q = []
data_exchanged_f_m_a = []
data_exchanged_r_s_q = []
with open(path+dir+'find_matches_query.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 22 |
e031010d543bf826ac8114631a830f1bd61cd022 | 848 | py | Python | django_rq_email_backend/tasks.py | jefftriplett/django-rq-email-backend | 674e48ab086d31ea5837fc12dd267c3b20d0fab1 | [
"BSD-3-Clause"
] | 10 | 2015-01-25T22:11:51.000Z | 2021-01-06T07:07:59.000Z | django_rq_email_backend/tasks.py | jefftriplett/django-rq-email-backend | 674e48ab086d31ea5837fc12dd267c3b20d0fab1 | [
"BSD-3-Clause"
] | null | null | null | django_rq_email_backend/tasks.py | jefftriplett/django-rq-email-backend | 674e48ab086d31ea5837fc12dd267c3b20d0fab1 | [
"BSD-3-Clause"
] | 4 | 2015-05-11T16:34:37.000Z | 2018-09-26T17:38:39.000Z | import logging
from django.conf import settings
RQ_EMAIL_DEFAULT_QUEUE = getattr(settings, 'RQ_EMAIL_DEFAULT_QUEUE', 'default')
RQ_EMAIL_BACKEND = getattr(settings, 'RQ_EMAIL_BACKEND',
'django.core.mail.backends.smtp.EmailBackend')
logger = logging.getLogger(__name__)
| 32.615385 | 83 | 0.695755 | import logging
from django.conf import settings
from django.core.mail import get_connection
from django_rq import job
RQ_EMAIL_DEFAULT_QUEUE = getattr(settings, 'RQ_EMAIL_DEFAULT_QUEUE', 'default')
RQ_EMAIL_BACKEND = getattr(settings, 'RQ_EMAIL_BACKEND',
'django.core.mail.backends.smtp.Ema... | 0 | 455 | 0 | 0 | 0 | 0 | 0 | 26 | 67 |