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e7dbbf31cdb2c338a7b379e15fa035c48dea2d84 | 1,491 | py | Python | models/cnn/covnet4.py | pmwaniki/ppg-analysis | ae1c76ca8b0eb95a51e3f48eccb8d0a76e7abfbf | [
"MIT"
] | 2 | 2022-02-23T05:36:48.000Z | 2022-03-04T11:53:29.000Z | models/cnn/covnet4.py | pmwaniki/ppg-analysis | ae1c76ca8b0eb95a51e3f48eccb8d0a76e7abfbf | [
"MIT"
] | null | null | null | models/cnn/covnet4.py | pmwaniki/ppg-analysis | ae1c76ca8b0eb95a51e3f48eccb8d0a76e7abfbf | [
"MIT"
] | 1 | 2022-01-15T03:31:30.000Z | 2022-01-15T03:31:30.000Z |
import torch.nn as nn
# net=Convnet4(2,64,z_dim=32)
# t=torch.randn((5,2,320,300))
# output=net(t)
# output.shape
| 26.157895 | 57 | 0.625084 |
import torch.nn as nn
import torch
import torch.nn.functional as F
def convblock(in_channels,out_channels,pooling=True):
if pooling:
return nn.Sequential(
nn.BatchNorm2d(in_channels),
nn.Conv2d(in_channels,out_channels,3,padding=1),
# nn.BatchNorm2d(out_channels),
nn.ReLU()... | 0 | 0 | 0 | 814 | 0 | 445 | 0 | 1 | 113 |
0d32eda95a14559f5e27b04ec1d3aaa58203600c | 2,891 | py | Python | tdcsm-install.py | tdcoa/usage | 408091f77360fe29e14186b60746fd7d60713e42 | [
"MIT"
] | null | null | null | tdcsm-install.py | tdcoa/usage | 408091f77360fe29e14186b60746fd7d60713e42 | [
"MIT"
] | 4 | 2020-07-21T18:42:22.000Z | 2020-10-14T00:50:45.000Z | tdcsm-install.py | tdcoa/usage | 408091f77360fe29e14186b60746fd7d60713e42 | [
"MIT"
] | 1 | 2020-08-05T20:09:41.000Z | 2020-08-05T20:09:41.000Z | #! /usr/bin/env python
import sys
def check_python():
"Check if the correct python version is installed"
if sys.version_info < (3, 0):
raise SystemExit("Python2 is not supported. Try rerunning with python3 or download the latest **64-bit** version from https://www.python.org/downloads/")
if sys.maxsize <= 2**32:
... | 29.20202 | 155 | 0.667589 | #! /usr/bin/env python
import sys
def check_python():
"Check if the correct python version is installed"
if sys.version_info < (3, 0):
raise SystemExit("Python2 is not supported. Try rerunning with python3 or download the latest **64-bit** version from https://www.python.org/downloads/")
if sys.maxsize <= 2**32:
... | 0 | 0 | 0 | 0 | 0 | 1,868 | 0 | -7 | 185 |
18496a724ec7f11294f3696d4522309779f5f9f2 | 3,829 | py | Python | fairness/algorithms/zafar/fair-classification-master/disparate_mistreatment/synthetic_data_demo/decision_boundary_demo.py | yashwarlord/fairness-comparison | 366a4e4bb70498ac7498e4a98f50e3585f7881d3 | [
"Apache-2.0"
] | 146 | 2018-02-14T20:59:29.000Z | 2022-03-26T00:44:28.000Z | fairness/algorithms/zafar/fair-classification-master/disparate_mistreatment/synthetic_data_demo/decision_boundary_demo.py | yashwarlord/fairness-comparison | 366a4e4bb70498ac7498e4a98f50e3585f7881d3 | [
"Apache-2.0"
] | 6 | 2018-03-15T01:39:53.000Z | 2021-11-15T17:47:02.000Z | fairness/algorithms/zafar/fair-classification-master/disparate_mistreatment/synthetic_data_demo/decision_boundary_demo.py | yashwarlord/fairness-comparison | 366a4e4bb70498ac7498e4a98f50e3585f7881d3 | [
"Apache-2.0"
] | 50 | 2018-02-16T15:27:29.000Z | 2022-03-01T08:59:28.000Z | import os, sys
import numpy as np
sys.path.insert(0, '../../fair_classification/') # the code for fair classification is in this directory
import utils as ut
import funcs_disp_mist as fdm
import plot_syn_boundaries as psb
def test_synthetic_data():
""" Generate the synthetic data """
data_type = 1
X, y, x_contr... | 44.011494 | 217 | 0.68608 | import os,sys
import numpy as np
from generate_synthetic_data import *
sys.path.insert(0, '../../fair_classification/') # the code for fair classification is in this directory
import utils as ut
import funcs_disp_mist as fdm
import plot_syn_boundaries as psb
def test_synthetic_data():
""" Generate the synthetic d... | 0 | 0 | 0 | 0 | 0 | 447 | 0 | 15 | 69 |
7d1f457eda8d5e9c802cfb9bf88971d19416931d | 672 | py | Python | app.py | labulel/web-scraping-challenge | 02f5b49b99802ec018a1451387d4a5cba538213c | [
"Apache-2.0"
] | null | null | null | app.py | labulel/web-scraping-challenge | 02f5b49b99802ec018a1451387d4a5cba538213c | [
"Apache-2.0"
] | null | null | null | app.py | labulel/web-scraping-challenge | 02f5b49b99802ec018a1451387d4a5cba538213c | [
"Apache-2.0"
] | null | null | null | from flask import Flask
from flask_pymongo import PyMongo
app = Flask(__name__)
#use flask_pymongo to set up mongo connection
app.config ["MONGO_URI"] = "mongodb://localhost:27017/mars_app"
mongo = PyMongo(app)
if __name__ =="__main__":
app.run(debug = True)
| 24.888889 | 63 | 0.696429 | from flask import Flask, render_template, redirect
from flask_pymongo import PyMongo
import scrape_mars
app = Flask(__name__)
#use flask_pymongo to set up mongo connection
app.config ["MONGO_URI"] = "mongodb://localhost:27017/mars_app"
mongo = PyMongo(app)
@app.route("/")
def index():
#Find Mars data
Mars = ... | 0 | 314 | 0 | 0 | 0 | 0 | 0 | 24 | 68 |
3e7fdd30f2753e8e86e5f06e72426a7a4a2ba883 | 3,669 | py | Python | operators/teched21/unzip/script.py | thhapke/dilocal | 1d3c1b7b1a4513e9bff7efd77f680f66014ff499 | [
"MIT"
] | null | null | null | operators/teched21/unzip/script.py | thhapke/dilocal | 1d3c1b7b1a4513e9bff7efd77f680f66014ff499 | [
"MIT"
] | null | null | null | operators/teched21/unzip/script.py | thhapke/dilocal | 1d3c1b7b1a4513e9bff7efd77f680f66014ff499 | [
"MIT"
] | null | null | null | # For local development
#from utils.mock_di_api import mock_api
#api = mock_api(__file__,False)
CREATE_SQL = False
api.set_port_callback('input',on_input) # datatype: message
| 40.318681 | 133 | 0.624693 | # For local development
#from utils.mock_di_api import mock_api
#api = mock_api(__file__,False)
import pandas as pd
import copy
import zipfile
import re
import io
from datetime import datetime
CREATE_SQL = False
def on_input(msg) :
api.logger.info('Unzip: {}'.format(msg.attributes['zipfile']))
try :
... | 0 | 0 | 0 | 0 | 0 | 3,366 | 0 | -35 | 156 |
857067ba58d9c2f2c4f08cd9db43c47d2da1d464 | 1,663 | py | Python | geolimes.py | akirsche/geoLIMES | 09f0f93f244fcdf056ea870c2524af15d3d757db | [
"MIT"
] | null | null | null | geolimes.py | akirsche/geoLIMES | 09f0f93f244fcdf056ea870c2524af15d3d757db | [
"MIT"
] | null | null | null | geolimes.py | akirsche/geoLIMES | 09f0f93f244fcdf056ea870c2524af15d3d757db | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
| 29.696429 | 130 | 0.644618 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from json import JSONDecodeError, loads
from os import makedirs
from os.path import exists, isdir
from urllib.error import HTTPError
from cache import Cache
from config import Config, ConfigNotValidError, load_config
from logger import InfoLogger
from mapper import Mapper... | 0 | 0 | 0 | 1,292 | 0 | 0 | 0 | 101 | 223 |
37eda14ffda685570b9da0c62550b975235a9f69 | 1,715 | py | Python | src/main/py/com/example/core/rdd/filter.py | brijeshdhaker/spark-python-examples | bb3504d21c073448c336c228f74449de68853b8d | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-07-18T16:23:56.000Z | 2021-07-18T16:23:56.000Z | src/main/py/com/example/core/rdd/filter.py | brijeshdhaker/spark-python-examples | bb3504d21c073448c336c228f74449de68853b8d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/main/py/com/example/core/rdd/filter.py | brijeshdhaker/spark-python-examples | bb3504d21c073448c336c228f74449de68853b8d | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | #
import sys
import com.example.utils.commons as commons
from pyspark.sql import SparkSession
if __name__ == "__main__":
if len(sys.argv) != 1:
print("Usages: spark-file <in-path> <out-path>")
sys.exit(-1)
#
spark = SparkSession \
.builder \
.master("spark://spark-master:7077")\
.appN... | 28.583333 | 65 | 0.623324 | #
import sys
import com.example.utils.commons as commons
from pyspark.sql import SparkSession
if __name__ == "__main__":
if len(sys.argv) != 1:
print("Usages: spark-file <in-path> <out-path>")
sys.exit(-1)
def m_filter(element):
return element[4] > 30
#
spark = SparkSession \
.builder \
... | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 23 |
50130c0336ac4ecad32bf1cfe47a0d7871688d46 | 28,590 | py | Python | sequential_tracing/source/source/library_tools/LibraryTools.py | ZhuangLab/Chromatin_Analysis_2020_cell | ecc0d3e92e8b9cb0dcf970c29440f91404055da6 | [
"MIT"
] | 19 | 2020-08-20T15:05:10.000Z | 2021-08-17T19:31:07.000Z | sequential_tracing/source/source/library_tools/LibraryTools.py | zhengpuas47/Chromatin_Tracing_Analysis | 850f6e068798408662aa40d20719e038a20176be | [
"MIT"
] | 1 | 2020-12-07T12:48:49.000Z | 2020-12-17T06:45:57.000Z | sequential_tracing/source/library_tools/LibraryTools.py | ZhuangLab/Chromatin_Analysis_2020_cell | ecc0d3e92e8b9cb0dcf970c29440f91404055da6 | [
"MIT"
] | 4 | 2020-08-21T07:39:25.000Z | 2021-03-10T08:10:43.000Z | import numpy as np
import os
def seqrc(string):
"returns the reverse complement of a sequence"
dic_rc = constant_key_dict({'a':'t','c':'g','g':'c','t':'a','A':'T','C':'G','G':'C','T':'A'})
string_rc = "".join([dic_rc[c] for c in string][::-1])
return string_rc
def getFastaWeb(chrom,pos1,pos2):
"For ... | 43.782542 | 216 | 0.591815 | import numpy as np
import os
import pickle
class constant_key_dict (dict):
def __missing__ (self, key):
return key
def seqrc(string):
"returns the reverse complement of a sequence"
dic_rc = constant_key_dict({'a':'t','c':'g','g':'c','t':'a','A':'T','C':'G','G':'C','T':'A'})
string_rc = "".join([... | 0 | 0 | 0 | 2,735 | 0 | 14,532 | 0 | -8 | 810 |
9c74bc304474a90f922e3ba5e1d7784293623014 | 9,738 | py | Python | plaso/storage/sqlite/merge_reader.py | infosecjosh/plaso | 7b5fc33591c60e89afc231a451449d40e02d8985 | [
"Apache-2.0"
] | null | null | null | plaso/storage/sqlite/merge_reader.py | infosecjosh/plaso | 7b5fc33591c60e89afc231a451449d40e02d8985 | [
"Apache-2.0"
] | null | null | null | plaso/storage/sqlite/merge_reader.py | infosecjosh/plaso | 7b5fc33591c60e89afc231a451449d40e02d8985 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Merge reader for SQLite storage files."""
from __future__ import unicode_literals
| 33.235495 | 80 | 0.728692 | # -*- coding: utf-8 -*-
"""Merge reader for SQLite storage files."""
from __future__ import unicode_literals
import os
import sqlite3
import zlib
from plaso.containers import errors
from plaso.containers import event_sources
from plaso.containers import events
from plaso.containers import reports
from plaso.containe... | 0 | 0 | 0 | 9,270 | 0 | 0 | 0 | 90 | 267 |
eb2a1467c4234db8a4875a5a94aa28520f59d682 | 1,113 | py | Python | Cinema/migrations/0011_auto_20210614_1505.py | jmv21/oficial_project | 1098dde46a80cff312a25f30ed0e560ce2c21e2b | [
"MIT"
] | null | null | null | Cinema/migrations/0011_auto_20210614_1505.py | jmv21/oficial_project | 1098dde46a80cff312a25f30ed0e560ce2c21e2b | [
"MIT"
] | null | null | null | Cinema/migrations/0011_auto_20210614_1505.py | jmv21/oficial_project | 1098dde46a80cff312a25f30ed0e560ce2c21e2b | [
"MIT"
] | null | null | null | # Generated by Django 3.2 on 2021-06-14 21:05
| 29.289474 | 121 | 0.583109 | # Generated by Django 3.2 on 2021-06-14 21:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Cinema', '0010_merge_0009_auto_20210611_1256_0009_auto_20210611_1549'),
]
operations = [
migrations.RemoveField(
model_name='purch... | 0 | 0 | 0 | 1,001 | 0 | 0 | 0 | 19 | 46 |
0adf3b85c88c62deb19c2d6d5e8cf6f50a3e171b | 435 | py | Python | tests/basics/comprehension1.py | geowor01/micropython | 7fb13eeef4a85f21cae36f1d502bcc53880e1815 | [
"MIT"
] | 7 | 2019-10-18T13:41:39.000Z | 2022-03-15T17:27:57.000Z | tests/basics/comprehension1.py | geowor01/micropython | 7fb13eeef4a85f21cae36f1d502bcc53880e1815 | [
"MIT"
] | null | null | null | tests/basics/comprehension1.py | geowor01/micropython | 7fb13eeef4a85f21cae36f1d502bcc53880e1815 | [
"MIT"
] | 2 | 2020-06-23T09:10:15.000Z | 2020-12-22T06:42:14.000Z |
f()
print("PASS") | 20.714286 | 55 | 0.528736 | def f():
# list comprehension
print([a + 1 for a in range(5)])
print([(a, b) for a in range(3) for b in range(2)])
print([a * 2 for a in range(7) if a > 3])
print([a for a in [1, 3, 5]])
print([a for a in [a for a in range(4)]])
# dict comprehension
d = {a : 2 * a for a in range(5)}
... | 0 | 0 | 0 | 0 | 0 | 394 | 0 | 0 | 22 |
c7ea3b6ca37492c99d8961d4b45945fe7a2bbafc | 8,679 | py | Python | tensorflow_compression/python/distributions/round_adapters.py | SamuelMarks/compression | e5c0dcf2d4846a030abc5f91f75863b204357c35 | [
"Apache-2.0"
] | 1 | 2020-12-30T04:33:36.000Z | 2020-12-30T04:33:36.000Z | tensorflow_compression/python/distributions/round_adapters.py | wwxn/compression | 734ff910119bd24bbfdb08b6f6da906c789a57a1 | [
"Apache-2.0"
] | null | null | null | tensorflow_compression/python/distributions/round_adapters.py | wwxn/compression | 734ff910119bd24bbfdb08b6f6da906c789a57a1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 30.996429 | 80 | 0.686024 | # Copyright 2020 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 0 | 61 | 0 | 7,145 | 0 | 0 | 0 | 196 | 340 |
620fcc7b4276e841a11ec20ede451a0949a8feb1 | 714 | py | Python | problems/A/TelephoneNumber.py | deveshbajpai19/CodeForces | 707b374f03012ec68054841f791d48b33ae4ef1b | [
"MIT"
] | 55 | 2016-06-19T05:45:15.000Z | 2022-03-31T15:18:53.000Z | problems/A/TelephoneNumber.py | farhadcu/CodeForces-2 | 707b374f03012ec68054841f791d48b33ae4ef1b | [
"MIT"
] | null | null | null | problems/A/TelephoneNumber.py | farhadcu/CodeForces-2 | 707b374f03012ec68054841f791d48b33ae4ef1b | [
"MIT"
] | 25 | 2016-07-29T13:03:15.000Z | 2021-09-17T01:45:45.000Z | __author__ = 'Devesh Bajpai'
'''
https://codeforces.com/problemset/problem/1167/A
Solution: From the first occurrence of 8 in the given string s, we should have at least 10 characters. Say that 8 exists
on ith index. Then n - 1 - i + 1 = n - i would give the length of the longest string starting with 8. That should b... | 23.032258 | 120 | 0.602241 | __author__ = 'Devesh Bajpai'
'''
https://codeforces.com/problemset/problem/1167/A
Solution: From the first occurrence of 8 in the given string s, we should have at least 10 characters. Say that 8 exists
on ith index. Then n - 1 - i + 1 = n - i would give the length of the longest string starting with 8. That should b... | 0 | 0 | 0 | 0 | 0 | 123 | 0 | 0 | 23 |
5de25e56d03ec7529b49111e303f4cbcadddf004 | 1,952 | py | Python | designate-8.0.0/designate/backend/impl_powerdns/migrate_repo/versions/009_cascade_domain_deletes.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | null | null | null | designate-8.0.0/designate/backend/impl_powerdns/migrate_repo/versions/009_cascade_domain_deletes.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | designate-8.0.0/designate/backend/impl_powerdns/migrate_repo/versions/009_cascade_domain_deletes.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright 2014 Hewlett-Packard Development Company, L.P.
#
# Author: Kiall Mac Innes <kiall@hpe.com>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/... | 30.5 | 75 | 0.717213 | # Copyright 2014 Hewlett-Packard Development Company, L.P.
#
# Author: Kiall Mac Innes <kiall@hpe.com>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/... | 0 | 0 | 0 | 0 | 0 | 1,134 | 0 | 47 | 68 |
eb12d1bb6f9cb70a43876fd387a56d535b88ed8e | 463 | py | Python | paginas/migrations/0004_publicacao_upload.py | DSheridanmt/Safety-Life | 522578858f8e063e14d0274de008c345ef2c0a75 | [
"MIT"
] | null | null | null | paginas/migrations/0004_publicacao_upload.py | DSheridanmt/Safety-Life | 522578858f8e063e14d0274de008c345ef2c0a75 | [
"MIT"
] | null | null | null | paginas/migrations/0004_publicacao_upload.py | DSheridanmt/Safety-Life | 522578858f8e063e14d0274de008c345ef2c0a75 | [
"MIT"
] | null | null | null | # Generated by Django 4.0 on 2022-03-08 23:22
| 23.15 | 72 | 0.62203 | # Generated by Django 4.0 on 2022-03-08 23:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('paginas', '0003_remove_publicacao_data_atualizacao_and_more'),
]
operations = [
migrations.AddField(
model_name='publicacao',
... | 0 | 0 | 0 | 351 | 0 | 0 | 0 | 19 | 46 |
9f8596434453fada0ce44edab6fb4e92888b37c4 | 1,198 | py | Python | .github/workflows/patch-asyncio.py | jwj019/SimpleITK-Notebooks | ade3741c3fa807a35b239f68b83f39c5f67e099f | [
"Apache-2.0"
] | 657 | 2015-02-20T13:50:28.000Z | 2022-03-31T11:42:22.000Z | .github/workflows/patch-asyncio.py | jwj019/SimpleITK-Notebooks | ade3741c3fa807a35b239f68b83f39c5f67e099f | [
"Apache-2.0"
] | 100 | 2015-02-19T18:53:06.000Z | 2022-03-29T15:20:39.000Z | .github/workflows/patch-asyncio.py | jwj019/SimpleITK-Notebooks | ade3741c3fa807a35b239f68b83f39c5f67e099f | [
"Apache-2.0"
] | 313 | 2015-01-29T20:23:36.000Z | 2022-03-23T06:34:21.000Z | from __future__ import print_function
import fileinput
import asyncio
asyncLib = asyncio.__file__
lineNum = 0
# This script is used to address an issue on Windows with asyncio in the Tornado web server.
# See links below for more information
# https://github.com/tornadoweb/tornado/issues/2608
# https://www.tornadoweb... | 35.235294 | 96 | 0.651085 | from __future__ import print_function
import fileinput
import asyncio
asyncLib = asyncio.__file__
lineNum = 0
# This script is used to address an issue on Windows with asyncio in the Tornado web server.
# See links below for more information
# https://github.com/tornadoweb/tornado/issues/2608
# https://www.tornadoweb... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
74ce5869c1273641db819c7df939bc619b77d924 | 1,130 | py | Python | pancan_fusion/fusion_outliers/abundance_calculations.py | ding-lab/griffin-fusion | cb2970f448dd3f50c678fcb755daa8f0b5a005a2 | [
"MIT"
] | 4 | 2019-09-02T15:03:22.000Z | 2021-12-03T19:28:50.000Z | pancan_fusion/fusion_outliers/abundance_calculations.py | ding-lab/griffin-fusion | cb2970f448dd3f50c678fcb755daa8f0b5a005a2 | [
"MIT"
] | null | null | null | pancan_fusion/fusion_outliers/abundance_calculations.py | ding-lab/griffin-fusion | cb2970f448dd3f50c678fcb755daa8f0b5a005a2 | [
"MIT"
] | 2 | 2020-09-15T02:37:22.000Z | 2020-09-29T09:24:27.000Z | import sys
import numpy
ensg_gene = open(sys.argv[1], 'r')
abun_file = open(sys.argv[2], 'r')
output_file = open(sys.argv[3],'w')
#set up ensg dict
ensg_dict = {}
gene_dict = {}
gene_list = []
for line in ensg_gene:
ensg, gene = line.strip().split()
ensg_dict[ ensg ] = gene
if gene not in gene_dict:
gene_di... | 26.904762 | 119 | 0.658407 | import sys
import numpy
ensg_gene = open(sys.argv[1], 'r')
abun_file = open(sys.argv[2], 'r')
output_file = open(sys.argv[3],'w')
#set up ensg dict
ensg_dict = {}
gene_dict = {}
gene_list = []
for line in ensg_gene:
ensg, gene = line.strip().split()
ensg_dict[ ensg ] = gene
if gene not in gene_dict:
gene_di... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06149c92025f132045f0478d86818f166b5de67f | 4,250 | py | Python | src/silx/io/test/test_write_to_h5.py | tifuchs/silx | 4b8b9e58ecd6fd4ca0ae80f2e74b956b26bcc3f7 | [
"CC0-1.0",
"MIT"
] | 94 | 2016-03-04T17:25:53.000Z | 2022-03-18T18:05:23.000Z | src/silx/io/test/test_write_to_h5.py | tifuchs/silx | 4b8b9e58ecd6fd4ca0ae80f2e74b956b26bcc3f7 | [
"CC0-1.0",
"MIT"
] | 2,841 | 2016-01-21T09:06:49.000Z | 2022-03-18T14:53:56.000Z | src/silx/io/test/test_write_to_h5.py | t20100/silx | 035cb286dd46f3f0cb3f819a3cfb6ce253c9933b | [
"CC0-1.0",
"MIT"
] | 71 | 2015-09-30T08:35:35.000Z | 2022-03-16T07:16:28.000Z | # coding: utf-8
# /*##########################################################################
# Copyright (C) 2021 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# i... | 35.714286 | 86 | 0.624941 | # coding: utf-8
# /*##########################################################################
# Copyright (C) 2021 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# i... | 0 | 0 | 0 | 0 | 0 | 256 | 0 | 12 | 49 |
3dd8ff67b12a905723423a8663578b8f649a0421 | 2,044 | py | Python | robot/waffles_display.py | rsthomp/wafflesazoo | 57a2542b6bd61036efa3fff8839909f774e1dd67 | [
"MIT"
] | null | null | null | robot/waffles_display.py | rsthomp/wafflesazoo | 57a2542b6bd61036efa3fff8839909f774e1dd67 | [
"MIT"
] | null | null | null | robot/waffles_display.py | rsthomp/wafflesazoo | 57a2542b6bd61036efa3fff8839909f774e1dd67 | [
"MIT"
] | null | null | null | import pygame
from rx import Observable
from rx.concurrency import ThreadPoolScheduler
from waffles_feels import waffles_feels
from waffles_commands import WafflesCMD
from waffles_pos import five_second_timer
print('0')
#Updates the actual displayed image based on waffle's reported emotional state.
#Helper method... | 24.926829 | 102 | 0.728474 | import pygame
import os
import time
import random
import requests
from rx import Observable, Observer
from rx.concurrency import ThreadPoolScheduler
from waffles_feels import waffles_feels
from waffles_commands import WafflesCMD
from waffles_pos import five_second_timer
print('0')
#Updates the actual displayed image... | 0 | 0 | 0 | 566 | 0 | 309 | 0 | -26 | 132 |
fd0600b8353e414fc31968043f51d0d27fbf8f12 | 22,203 | py | Python | pm/models/situ_social_activity_family.py | aosojnik/pipeline-manager-features-models | e5232f1c1b2073253a1c505dc9fff0d3d839dd6c | [
"MIT"
] | null | null | null | pm/models/situ_social_activity_family.py | aosojnik/pipeline-manager-features-models | e5232f1c1b2073253a1c505dc9fff0d3d839dd6c | [
"MIT"
] | null | null | null | pm/models/situ_social_activity_family.py | aosojnik/pipeline-manager-features-models | e5232f1c1b2073253a1c505dc9fff0d3d839dd6c | [
"MIT"
] | null | null | null | ##################################################################################
##########--this is an autogenerated python model definition for proDEX--#########
##--original file: Family_Assessment_v05_forprodex.dxi --##
##################################################################################
situ_socia... | 112.705584 | 209 | 0.85511 | ##################################################################################
##########--this is an autogenerated python model definition for proDEX--#########
##--original file: Family_Assessment_v05_forprodex.dxi --##
##################################################################################
from .lib.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 23 |
73203aca3d16bb92f993919016b4a09e053e902b | 1,119 | py | Python | chapter 3 - stacks and queues/3.2.py | anuraagdjain/cracking_the_coding_interview | 09083b4c464f41d5752c7ca3d27ab7c992793619 | [
"MIT"
] | null | null | null | chapter 3 - stacks and queues/3.2.py | anuraagdjain/cracking_the_coding_interview | 09083b4c464f41d5752c7ca3d27ab7c992793619 | [
"MIT"
] | null | null | null | chapter 3 - stacks and queues/3.2.py | anuraagdjain/cracking_the_coding_interview | 09083b4c464f41d5752c7ca3d27ab7c992793619 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
s = MinStack()
s.add(5)
s.add(-3)
s.add(1)
s.add(6)
s.add(-1)
print(s.pop())
print(s.get_min())
s.add(-10)
s.pop()
| 18.966102 | 61 | 0.526363 | class Node:
def __init__(self, data):
self.data = data
self.next = None
class Stack:
def __init__(self):
self.top = None
def add(self, data):
node = Node(data)
node.next = self.top
self.top = node
def pop(self):
item = self.top.data
sel... | 0 | 0 | 0 | 865 | 0 | 0 | 0 | 0 | 68 |
86eadf6b705f0089cbbe547b10a749f347fbf86f | 1,755 | py | Python | Moving-to-Melbourne---Housing-Again!/code.py | ANanade/ga-learner-dsmp-repo | ba5c06d039cfba6222998fccaca88e629c4bc3b8 | [
"MIT"
] | null | null | null | Moving-to-Melbourne---Housing-Again!/code.py | ANanade/ga-learner-dsmp-repo | ba5c06d039cfba6222998fccaca88e629c4bc3b8 | [
"MIT"
] | null | null | null | Moving-to-Melbourne---Housing-Again!/code.py | ANanade/ga-learner-dsmp-repo | ba5c06d039cfba6222998fccaca88e629c4bc3b8 | [
"MIT"
] | null | null | null | # --------------
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
# path- variable storing file path
df = pd.read_csv(path)
df.columns[range(5)]
X = df.drop(['Price'], axis = 1)
y= df.Price
X_train,X_test,y_train,y_test = train_test_split(X , y , test_size = 0.3, r... | 21.9375 | 92 | 0.707692 | # --------------
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
# path- variable storing file path
df = pd.read_csv(path)
df.columns[range(5)]
X = df.drop(['Price'], axis = 1)
y= df.Price
X_train,X_test,y_train,y_test = train_test_split(X , y , test_size = 0.3, r... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
0c177cb946bb0bcc84e16ee3f15e953374a97fbd | 8,918 | py | Python | Quadrotor_velocity_control.py | Ryan906k9/quadrotor_velocity_control | 7e3f28d94c931d277394a8591a5925583642586c | [
"MIT"
] | null | null | null | Quadrotor_velocity_control.py | Ryan906k9/quadrotor_velocity_control | 7e3f28d94c931d277394a8591a5925583642586c | [
"MIT"
] | null | null | null | Quadrotor_velocity_control.py | Ryan906k9/quadrotor_velocity_control | 7e3f28d94c931d277394a8591a5925583642586c | [
"MIT"
] | null | null | null | import parl
from parl.utils import logger
from parl.utils import ReplayMemory #
from rlschool import make_env # RLSchool
from parl.algorithms import DDPG
import paddle.fluid as fluid
GAMMA = 0.99 # reward 0.9 0.999
TAU = 0.001 # target_model model
ACTOR_LR = 0.0002 # Actor learning rate
CRITIC_L... | 32.429091 | 86 | 0.591837 | import numpy as np
import parl
from parl.utils import logger
from parl.utils import action_mapping # 将神经网络输出映射到对应的 实际动作取值范围 内
from parl.utils import ReplayMemory # 经验回放
from rlschool import make_env # 使用 RLSchool 创建飞行器环境
from parl.algorithms import DDPG
class QuadrotorAgent(parl.Agent):
def __init__(self, algo... | 780 | 0 | 0 | 3,164 | 0 | 3,161 | 0 | 5 | 231 |
eb88fdadfb290aecfda1d0c370c0cbc8e4c3bdc2 | 3,189 | py | Python | addons/rest_api/controllers/redisdb.py | Prescrypto/odooku | a6647e0e22bb5d41a2f025852df736a5c657a038 | [
"Apache-2.0"
] | null | null | null | addons/rest_api/controllers/redisdb.py | Prescrypto/odooku | a6647e0e22bb5d41a2f025852df736a5c657a038 | [
"Apache-2.0"
] | 9 | 2017-09-07T18:42:16.000Z | 2021-03-18T05:58:58.000Z | addons/rest_api/controllers/redisdb.py | Prescrypto/odooku | a6647e0e22bb5d41a2f025852df736a5c657a038 | [
"Apache-2.0"
] | 1 | 2018-10-16T20:45:10.000Z | 2018-10-16T20:45:10.000Z | # -*- coding: utf-8 -*-
import logging
try:
import simplejson as json
except ImportError:
_logger = logging.getLogger(__name__)
| 34.290323 | 83 | 0.56789 | # -*- coding: utf-8 -*-
import redis
import logging
try:
import simplejson as json
except ImportError:
import json
_logger = logging.getLogger(__name__)
class RedisTokenStore(object):
def __init__(self, host='localhost', port=6379, db=0, password=None):
self.rs = redis.StrictRedis(host=host,... | 0 | 0 | 0 | 2,998 | 0 | 0 | 0 | -19 | 71 |
421f011ca77258f909f26458d6c8149223833f62 | 19,490 | py | Python | model_multi_classifier.py | mbarbetti/lymphoma-classification | e1ec25302270388a4215d840b0c2925b043e1716 | [
"MIT"
] | null | null | null | model_multi_classifier.py | mbarbetti/lymphoma-classification | e1ec25302270388a4215d840b0c2925b043e1716 | [
"MIT"
] | null | null | null | model_multi_classifier.py | mbarbetti/lymphoma-classification | e1ec25302270388a4215d840b0c2925b043e1716 | [
"MIT"
] | null | null | null | import os
import pickle
import numpy as np
from tqdm import tqdm
from argparse import ArgumentParser
import optuna
optuna.logging.set_verbosity ( optuna.logging.ERROR ) # silence Optuna during trials study
import warnings
warnings.filterwarnings ( "ignore", category = RuntimeWarning )
from sklearn.model_selection... | 45.115741 | 172 | 0.579682 | import os
import pickle
import numpy as np
from tqdm import tqdm
from argparse import ArgumentParser
import optuna
optuna.logging.set_verbosity ( optuna.logging.ERROR ) # silence Optuna during trials study
import warnings
warnings.filterwarnings ( "ignore", category = RuntimeWarning )
from sklearn.model_selec... | 0 | 0 | 0 | 0 | 0 | 3,795 | 0 | 74 | 147 |
bfa57a625f2be19d4a30738c7fd3f863a0804ed1 | 6,048 | py | Python | Leak #5 - Lost In Translation/windows/Resources/Ops/PyScripts/windows/eventlogs.py | bidhata/EquationGroupLeaks | 1ff4bc115cb2bd5bf2ed6bf769af44392926830c | [
"Unlicense"
] | 9 | 2019-11-22T04:58:40.000Z | 2022-02-26T16:47:28.000Z | Python.Fuzzbunch/Resources/Ops/PyScripts/windows/eventlogs.py | 010001111/Vx-Suites | 6b4b90a60512cce48aa7b87aec5e5ac1c4bb9a79 | [
"MIT"
] | null | null | null | Python.Fuzzbunch/Resources/Ops/PyScripts/windows/eventlogs.py | 010001111/Vx-Suites | 6b4b90a60512cce48aa7b87aec5e5ac1c4bb9a79 | [
"MIT"
] | 8 | 2017-09-27T10:31:18.000Z | 2022-01-08T10:30:46.000Z |
import dsz, dsz.cmd
import ops, ops.pprint
import sys
from optparse import OptionParser
if (__name__ == '__main__'):
usage = 'python windows\\eventloqs.py [Options]\n-m, --monitor \n Runs in monitor mode, defaults to false\n-i, --interval [timeinterval]\n Interval between eventlogquery commands to use when r... | 52.137931 | 408 | 0.581019 |
import dsz, dsz.cmd, dsz.control
import ops, ops.pprint
import ops.data
import traceback, sys
from optparse import OptionParser
def monitorlogs(interval=300, classic=False, logname='', target=None, filters=[]):
logquerycmd = 'eventlogquery '
if classic:
logquerycmd += ' -classic '
elif (logname !=... | 0 | 0 | 0 | 0 | 0 | 4,593 | 0 | 18 | 114 |
f01b4e41f742d0c8d1d8141475e3f06a6e34955a | 15 | py | Python | src/quiltz/testsupport/version.py | qwaneu/quiltz-testsupport | d28df8657818fae75208ed0cf50d417955e92ba4 | [
"MIT"
] | null | null | null | src/quiltz/testsupport/version.py | qwaneu/quiltz-testsupport | d28df8657818fae75208ed0cf50d417955e92ba4 | [
"MIT"
] | null | null | null | src/quiltz/testsupport/version.py | qwaneu/quiltz-testsupport | d28df8657818fae75208ed0cf50d417955e92ba4 | [
"MIT"
] | null | null | null | version="0.2.1" | 15 | 15 | 0.666667 | version="0.2.1" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e68c325abae9f0d6f6a4ce2e2488f4c69bba4a5f | 733 | py | Python | src/oscar/management/commands/oscar_send_alerts.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | src/oscar/management/commands/oscar_send_alerts.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | src/oscar/management/commands/oscar_send_alerts.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | import logging
logger = logging.getLogger(__name__)
| 28.192308 | 73 | 0.665757 | import logging
from django.core.management.base import BaseCommand
from django.utils.translation import ugettext_lazy as _
from oscar.apps.customer.alerts import utils
logger = logging.getLogger(__name__)
class Command(BaseCommand):
"""
Check stock records of products for availability and send ... | 0 | 0 | 0 | 490 | 0 | 0 | 0 | 87 | 98 |
2ee02461bd282a5d55728439acfafc1cef05a08c | 4,175 | py | Python | conda_smithy/tests/test_lint_recipe.py | janschulz/conda-smithy | 7474c0cd668c7141f7aa936cf5603dae3f76697e | [
"BSD-3-Clause"
] | null | null | null | conda_smithy/tests/test_lint_recipe.py | janschulz/conda-smithy | 7474c0cd668c7141f7aa936cf5603dae3f76697e | [
"BSD-3-Clause"
] | null | null | null | conda_smithy/tests/test_lint_recipe.py | janschulz/conda-smithy | 7474c0cd668c7141f7aa936cf5603dae3f76697e | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
import unittest
if __name__ == '__main__':
unittest.main()
| 35.381356 | 122 | 0.582754 | from __future__ import print_function
from collections import OrderedDict
import os
import shutil
import subprocess
import tempfile
import textwrap
import unittest
import conda_smithy.lint_recipe as linter
class Test_linter(unittest.TestCase):
def test_bad_order(self):
meta = OrderedDict([['package', []]... | 0 | 0 | 0 | 3,871 | 0 | 0 | 0 | -2 | 201 |
9c9ab098a56dd8c3910188c0bdf3b72a68d8d56c | 1,732 | py | Python | scripts/split_fasta.py | EnvGen/toolbox | a644560d989316fffd72c696e60c95ed713f6236 | [
"MIT"
] | 5 | 2018-07-02T06:34:09.000Z | 2021-06-09T00:32:45.000Z | scripts/split_fasta.py | EnvGen/toolbox | a644560d989316fffd72c696e60c95ed713f6236 | [
"MIT"
] | 5 | 2016-09-23T08:52:53.000Z | 2019-12-19T08:49:11.000Z | scripts/split_fasta.py | EnvGen/toolbox | a644560d989316fffd72c696e60c95ed713f6236 | [
"MIT"
] | 1 | 2020-04-28T18:45:56.000Z | 2020-04-28T18:45:56.000Z | #!/usr/bin/env python
"""A script to split a fasta file into multiple smaller files.
Output files will be <original>.xx.fasta
"""
from __future__ import print_function
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--outdir', '-o', help="... | 27.935484 | 122 | 0.64261 | #!/usr/bin/env python
"""A script to split a fasta file into multiple smaller files.
Output files will be <original>.xx.fasta
"""
from __future__ import print_function
import argparse
import sys
import os
import re
from os.path import join as ospj
def header(row):
regex = re.compile("^>")
return regex.findall... | 0 | 0 | 0 | 0 | 0 | 965 | 0 | -24 | 157 |
6f9a31ec57f043ee015bf879c14c27a2999e8772 | 3,122 | py | Python | database.py | luontonurkka/fetcher | 439d3531b13dcf296c75c1a637dce4e7a7cf8b91 | [
"MIT"
] | null | null | null | database.py | luontonurkka/fetcher | 439d3531b13dcf296c75c1a637dce4e7a7cf8b91 | [
"MIT"
] | null | null | null | database.py | luontonurkka/fetcher | 439d3531b13dcf296c75c1a637dce4e7a7cf8b91 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sqlite3
"""
Under MIT-Licence, 2016 Perttu Rautaniemi
"""
def createtables():
"""
Opening the database and tables, create tables if they dont exist
"""
conn = sqlite3.connect('LuontonurkkaDB.db')
conn.execute('''CREATE TABLE `grid` (
`id` INTEGER NOT NULL,
... | 29.17757 | 118 | 0.584241 | # -*- coding: utf-8 -*-
import dataset,codecs, Names, sqlite3
"""
Under MIT-Licence, 2016 Perttu Rautaniemi
"""
def createtables():
"""
Opening the database and tables, create tables if they dont exist
"""
conn = sqlite3.connect('LuontonurkkaDB.db')
conn.execute('''CREATE TABLE `grid` (
`id... | 0 | 0 | 0 | 0 | 0 | 1,855 | 0 | 23 | 22 |
f3ec3f1a6c80881e00dc45f2e1504d19fe743b75 | 2,316 | py | Python | pyHMI/SimGas.py | sourceperl/pyHMI | 61f2742181372a2cff24b6dec5af920dddc210c9 | [
"MIT"
] | null | null | null | pyHMI/SimGas.py | sourceperl/pyHMI | 61f2742181372a2cff24b6dec5af920dddc210c9 | [
"MIT"
] | null | null | null | pyHMI/SimGas.py | sourceperl/pyHMI | 61f2742181372a2cff24b6dec5af920dddc210c9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 25.450549 | 96 | 0.58247 | # -*- coding: utf-8 -*-
import math
import threading
import time
class GasPipe:
def __init__(self, init_volume=50000, water_volume=10000):
# private
self._add_flow = 0
self._sub_flow = 0
self._stock_vol = init_volume
self._water_vol = water_volume
self._th_lock = t... | 0 | 623 | 0 | 1,453 | 0 | 102 | 0 | -25 | 136 |
48fa43f09fe1d7615ba3f343f7811f7cce4dd04f | 826 | py | Python | jp.atcoder/abc132/abc132_d/8438043.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/abc132/abc132_d/8438043.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/abc132/abc132_d/8438043.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null | # 2019-11-15 00:35:39(JST)
# import collections
# import math
# from string import ascii_lowercase, ascii_uppercase, digits
# from bisect import bisect_left as bi_l, bisect_right as bi_r
# import itertools
# from scipy.misc import comb # float
# import numpy as np
mod = 10 ** 9 + 7
if __name__ == "__ma... | 24.294118 | 63 | 0.576271 | # 2019-11-15 00:35:39(JST)
import operator as op
import sys
# import collections
# import math
# from string import ascii_lowercase, ascii_uppercase, digits
# from bisect import bisect_left as bi_l, bisect_right as bi_r
# import itertools
from functools import reduce
# from scipy.misc import comb # float
... | 36 | 0 | 0 | 0 | 0 | 360 | 0 | -4 | 118 |
d81256ff57e194d818c4e9bf8f9c6e8d5d916041 | 5,596 | py | Python | gperc/cli.py | yashbonde/general-perceivers | 3cc6d8fd7fd1da852cf8aef796c385eaa69f984f | [
"MIT"
] | 4 | 2021-11-02T08:18:06.000Z | 2021-12-25T13:45:06.000Z | gperc/cli.py | sanjibansg/general-perceivers | 9b881637e017ea1a4d7131042634c9a2fcd8211f | [
"MIT"
] | 1 | 2021-10-30T12:32:49.000Z | 2021-10-30T12:32:49.000Z | gperc/cli.py | sanjibansg/general-perceivers | 9b881637e017ea1a4d7131042634c9a2fcd8211f | [
"MIT"
] | 2 | 2021-10-18T04:25:40.000Z | 2021-11-21T11:33:38.000Z | r"""
CLI
===
**DO NOT USE (WIP)**
This module contains the command line interface for gperc. Is this really needed? I am not sure.
But having something along the lines of CLI means that running orchestration jobs would be possible.
Add code to your github actions by loading data from one place, dispatch this for trai... | 36.575163 | 181 | 0.649571 | r"""
CLI
===
**DO NOT USE (WIP)**
This module contains the command line interface for gperc. Is this really needed? I am not sure.
But having something along the lines of CLI means that running orchestration jobs would be possible.
Add code to your github actions by loading data from one place, dispatch this for trai... | 0 | 0 | 0 | 3,177 | 0 | 0 | 0 | 64 | 159 |
1573d07b69f4d4df39e2799dd0eac8a72e2063a9 | 7,725 | py | Python | andes_addon/minipmu.py | CURENT/andes_addon | 5b71b3558b8f147ba463a686b4ee2d1ea3ed22eb | [
"BSD-3-Clause"
] | null | null | null | andes_addon/minipmu.py | CURENT/andes_addon | 5b71b3558b8f147ba463a686b4ee2d1ea3ed22eb | [
"BSD-3-Clause"
] | null | null | null | andes_addon/minipmu.py | CURENT/andes_addon | 5b71b3558b8f147ba463a686b4ee2d1ea3ed22eb | [
"BSD-3-Clause"
] | null | null | null | """Python module to request PMU data from a running ANDES
"""
if __name__ == "__main__":
mini = MiniPMU(
name='TestPMU',
dime_address='ipc:///tmp/dime',
pmu_idx=[1],
pmu_port=1414)
mini.run()
| 32.322176 | 85 | 0.529968 | """Python module to request PMU data from a running ANDES
"""
import logging
import time
from .dime import Dime
from numpy import array, ndarray, zeros
from pypmu import Pmu
from pypmu.frame import ConfigFrame2, HeaderFrame
def get_logger(name):
logger = logging.getLogger(name)
if not logger.handlers:
... | 0 | 116 | 0 | 6,797 | 0 | 365 | 0 | 30 | 181 |
0782dbc58a1f55d81bf13d773d0b85b00e6f8a04 | 39 | py | Python | Chapter 03/Chap03_Example3.23.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 03/Chap03_Example3.23.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 03/Chap03_Example3.23.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | print("St-1")
print(2/0)
print("St-2")
| 9.75 | 13 | 0.589744 | print("St-1")
print(2/0)
print("St-2")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
43476669c0e07b4881c73f91b2a4e194e94da549 | 921 | py | Python | setup.py | Neuroglycerin/neukrill-net-tools | 133c68403128e6fcea6d6c8c8326b45443ef7f4e | [
"MIT"
] | null | null | null | setup.py | Neuroglycerin/neukrill-net-tools | 133c68403128e6fcea6d6c8c8326b45443ef7f4e | [
"MIT"
] | null | null | null | setup.py | Neuroglycerin/neukrill-net-tools | 133c68403128e6fcea6d6c8c8326b45443ef7f4e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from distutils.core import setup
setup(name='neukrill-net',
version='1.0',
description='Neukrill-net NDSB tools',
author='neuroglycerin',
author_email='root@finlaymagui.re',
packages=['neukrill_net'],
tests_require=['pytest'],
install_requires=['scipy==0... | 29.709677 | 55 | 0.543974 | #!/usr/bin/env python
from distutils.core import setup
from setuptools.command.test import test as TestCommand
class PyTest(TestCommand):
def finalize_options(self):
TestCommand.finalize_options(self)
self.test_args = []
self.test_suite = True
def run_tests(self):
import pytest... | 0 | 0 | 0 | 222 | 0 | 0 | 0 | 34 | 45 |
82773881e1cd78cba0c3ed8588b4d786447d5b82 | 459 | py | Python | tensornetwork/contractors/custom_path_solvers/__init__.py | khanhgithead/TensorNetwork | e12580f1749493dbe05f474d2fecdec4eaba73c5 | [
"Apache-2.0"
] | 1,681 | 2019-04-30T21:07:24.000Z | 2022-03-31T14:51:19.000Z | tensornetwork/contractors/custom_path_solvers/__init__.py | khanhgithead/TensorNetwork | e12580f1749493dbe05f474d2fecdec4eaba73c5 | [
"Apache-2.0"
] | 671 | 2019-05-04T22:01:20.000Z | 2022-03-31T16:02:55.000Z | tensornetwork/contractors/custom_path_solvers/__init__.py | khanhgithead/TensorNetwork | e12580f1749493dbe05f474d2fecdec4eaba73c5 | [
"Apache-2.0"
] | 394 | 2019-04-29T03:24:26.000Z | 2022-03-11T14:16:21.000Z | #pylint: disable=line-too-long
#pylint: disable=line-too-long
| 65.571429 | 127 | 0.891068 | from tensornetwork.contractors.custom_path_solvers import pathsolvers
from tensornetwork.contractors.custom_path_solvers import nconinterface
#pylint: disable=line-too-long
from tensornetwork.contractors.custom_path_solvers.pathsolvers import greedy_cost_solve, greedy_size_solve, full_solve_complete
#pylint: disable=li... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 309 | 88 |
33fa392b08f1093fd3a75a7d5b57799fd25b8e44 | 412 | py | Python | filter_plugins/apiserver_proxy.py | ochinchina/KubeClus | 2a90e33cd0334c0ff3136c955ed44333ecb5cc98 | [
"MIT"
] | null | null | null | filter_plugins/apiserver_proxy.py | ochinchina/KubeClus | 2a90e33cd0334c0ff3136c955ed44333ecb5cc98 | [
"MIT"
] | null | null | null | filter_plugins/apiserver_proxy.py | ochinchina/KubeClus | 2a90e33cd0334c0ff3136c955ed44333ecb5cc98 | [
"MIT"
] | null | null | null | #!/usr/bin/python2
| 29.428571 | 84 | 0.68932 | #!/usr/bin/python2
import os
import yaml
class FilterModule:
def filters(self):
return { "change_apiserver_proxy": self.change_apiserver_proxy}
def change_apiserver_proxy( self, kubelet_conf, new_apiserver):
conf = yaml.load( kubelet_conf )
conf['clusters'][0]['cluster']['server'] = "... | 0 | 0 | 0 | 347 | 0 | 0 | 0 | -22 | 68 |
3dc7b4c968696b2f37879db6704389aaa60185c0 | 2,775 | py | Python | np_autoencoder.py | nirajjayantbolt/cs224u | b0321d4db5f2f6310081565d9ff74976aeb94b91 | [
"Apache-2.0"
] | 1 | 2022-02-07T21:41:10.000Z | 2022-02-07T21:41:10.000Z | np_autoencoder.py | nirajjayantbolt/cs224u | b0321d4db5f2f6310081565d9ff74976aeb94b91 | [
"Apache-2.0"
] | 1 | 2020-02-23T05:11:20.000Z | 2020-02-23T05:11:20.000Z | np_autoencoder.py | nirajjayantbolt/cs224u | b0321d4db5f2f6310081565d9ff74976aeb94b91 | [
"Apache-2.0"
] | 1 | 2020-05-04T01:50:08.000Z | 2020-05-04T01:50:08.000Z |
__author__ = "Christopher Potts"
__version__ = "CS224u, Stanford, Spring 2020"
if __name__ == '__main__':
simple_example()
| 28.030303 | 74 | 0.625946 | import numpy as np
from np_model_base import NNModelBase
import pandas as pd
__author__ = "Christopher Potts"
__version__ = "CS224u, Stanford, Spring 2020"
class Autoencoder(NNModelBase):
def __init__(self, **kwargs):
super(Autoencoder, self).__init__(**kwargs)
def prepare_output_data(self, y):
... | 0 | 342 | 0 | 1,649 | 0 | 530 | 0 | 11 | 112 |
882146e24e886e028f11c2822c6ccc4856613a95 | 1,087 | py | Python | admin/migrations/0002_auto_20180227_1101.py | rodlukas/UP-admin | 08f36de0773f39c6222da82016bf1384af2cce18 | [
"MIT"
] | 4 | 2019-07-19T17:39:04.000Z | 2022-03-22T21:02:15.000Z | admin/migrations/0002_auto_20180227_1101.py | rodlukas/UP-admin | 08f36de0773f39c6222da82016bf1384af2cce18 | [
"MIT"
] | 53 | 2019-08-04T14:25:40.000Z | 2022-03-26T20:30:55.000Z | admin/migrations/0002_auto_20180227_1101.py | rodlukas/UP-admin | 08f36de0773f39c6222da82016bf1384af2cce18 | [
"MIT"
] | 3 | 2020-03-09T07:11:03.000Z | 2020-09-11T01:22:50.000Z | # Generated by Django 2.0.2 on 2018-02-27 10:01
| 41.807692 | 98 | 0.680773 | # Generated by Django 2.0.2 on 2018-02-27 10:01
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("admin", "0001_initial")]
operations = [
migrations.RenameField(
model_name="attendance", old_name="attendancestateid", new_name="attendancest... | 0 | 0 | 0 | 973 | 0 | 0 | 0 | 19 | 46 |
912d668287be2cf55d3d6ac5fce530b7e78ab4c0 | 9,910 | py | Python | test.py | Sanjana7395/face_segmentation | cc06c6adf639c9ce1a3c64608ff9190dbf25a5ce | [
"MIT"
] | 22 | 2020-08-23T21:27:31.000Z | 2022-03-03T09:11:34.000Z | test.py | Sanjana7395/face_segmentation | cc06c6adf639c9ce1a3c64608ff9190dbf25a5ce | [
"MIT"
] | 7 | 2020-07-17T08:35:41.000Z | 2021-09-07T11:35:23.000Z | test.py | Sanjana7395/face_segmentation | cc06c6adf639c9ce1a3c64608ff9190dbf25a5ce | [
"MIT"
] | 10 | 2020-07-17T08:56:51.000Z | 2022-03-29T08:53:48.000Z | import os
import numpy as np
import cv2
import argparse
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
import seaborn as sns
from tensorflow.keras import Input
from model import u_net
from preprocessing.preprocess_utils import display
from experiments import lip_hair_color
def make_confu... | 34.65035 | 79 | 0.560343 | import os
import numpy as np
import cv2
import argparse
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
import seaborn as sns
from tensorflow.keras import Input
from model import u_net
from preprocessing.preprocess_utils import display
from experiments import lip_hair_color
def make_confu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
45c7e65d5a58484022e55ea62f4b70c3fa489a01 | 475 | py | Python | girder_rnascope/tilesource/tiff.py | abcsFrederick/RNAScope | 9cb049f9c64f52e49afddfb32a286c90223bad78 | [
"Apache-2.0"
] | null | null | null | girder_rnascope/tilesource/tiff.py | abcsFrederick/RNAScope | 9cb049f9c64f52e49afddfb32a286c90223bad78 | [
"Apache-2.0"
] | 8 | 2019-09-25T14:07:14.000Z | 2019-10-01T16:45:08.000Z | girder_rnascope/tilesource/tiff.py | cj-abcs/RNAScope | 9cb049f9c64f52e49afddfb32a286c90223bad78 | [
"Apache-2.0"
] | null | null | null | import large_image_source_tiff as tiff
# from large_image.tilesource.base import GirderTileSource
from .tiff_reader import TiledTiffDirectory
tiff.TiledTiffDirectory = TiledTiffDirectory
| 27.941176 | 83 | 0.821053 | import large_image_source_tiff as tiff
# from large_image.tilesource.base import GirderTileSource
from large_image_source_tiff import girder_source
from .tiff_reader import TiledTiffDirectory
tiff.TiledTiffDirectory = TiledTiffDirectory
class TiffFileTileSource(tiff.TiffFileTileSource):
cacheName = 'tilesource'
... | 0 | 0 | 0 | 189 | 0 | 0 | 0 | 28 | 68 |
a324ee7a3459d4ec211befb07ccbe404786243a9 | 907 | py | Python | scraper/storage_spiders/songvunet.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | null | null | null | scraper/storage_spiders/songvunet.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | 10 | 2020-02-11T23:34:28.000Z | 2022-03-11T23:16:12.000Z | scraper/storage_spiders/songvunet.py | chongiadung/choinho | d2a216fe7a5064d73cdee3e928a7beef7f511fd1 | [
"MIT"
] | 3 | 2018-08-05T14:54:25.000Z | 2021-06-07T01:49:59.000Z | # Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='header_layer_2']/h1",
'price' : "//input[@name='price']/@value",
'category' : "//div[@class='thanh_dinh_huong']/a",
... | 33.592593 | 83 | 0.62183 | # Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='header_layer_2']/h1",
'price' : "//input[@name='price']/@value",
'category' : "//div[@class='thanh_dinh_huong']/a",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ac9be7a8b5a5c2a234164185c4e23dd581187a69 | 447 | py | Python | cpdb/data/migrations/0107_remove_area_line_area_from_allegation.py | invinst/CPDBv2_backend | b4e96d620ff7a437500f525f7e911651e4a18ef9 | [
"Apache-2.0"
] | 25 | 2018-07-20T22:31:40.000Z | 2021-07-15T16:58:41.000Z | cpdb/data/migrations/0107_remove_area_line_area_from_allegation.py | invinst/CPDBv2_backend | b4e96d620ff7a437500f525f7e911651e4a18ef9 | [
"Apache-2.0"
] | 13 | 2018-06-18T23:08:47.000Z | 2022-02-10T07:38:25.000Z | cpdb/data/migrations/0107_remove_area_line_area_from_allegation.py | invinst/CPDBv2_backend | b4e96d620ff7a437500f525f7e911651e4a18ef9 | [
"Apache-2.0"
] | 6 | 2018-05-17T21:59:43.000Z | 2020-11-17T00:30:26.000Z | # Generated by Django 2.1.3 on 2019-01-08 04:17
| 20.318182 | 52 | 0.574944 | # Generated by Django 2.1.3 on 2019-01-08 04:17
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('data', '0106_add_field_police_witnesses'),
]
operations = [
migrations.RemoveField(
model_name='allegation',
name='areas',
... | 0 | 0 | 0 | 341 | 0 | 0 | 0 | 11 | 46 |
69cc2165b44440845ddc93cd30a1945f73e4c1f1 | 2,262 | py | Python | regularization/train_xgb.py | Fenkail/Deep_learning_basics | a395b5a78e9a742b7fbcf0bf9fe8a0f7022499a5 | [
"Apache-2.0"
] | null | null | null | regularization/train_xgb.py | Fenkail/Deep_learning_basics | a395b5a78e9a742b7fbcf0bf9fe8a0f7022499a5 | [
"Apache-2.0"
] | null | null | null | regularization/train_xgb.py | Fenkail/Deep_learning_basics | a395b5a78e9a742b7fbcf0bf9fe8a0f7022499a5 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import time
import xgboost as xgb
from sklearn.model_selection import KFold
from regularization.score import myFeval
from sklearn.metrics import mean_squared_error
from regularization.data_process import data_process
s = time.time()
X_train, y_train, X_test, train_len, test_len = data_process()
prin... | 34.8 | 106 | 0.631742 | import numpy as np
import time
import xgboost as xgb
from sklearn.model_selection import KFold
from regularization.score import myFeval
from sklearn.metrics import mean_squared_error
from regularization.data_process import data_process
s = time.time()
X_train, y_train, X_test, train_len, test_len = data_process()
prin... | 242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
834f9c87021cb2bb5137640f7ebb950dc0ac0eee | 798 | py | Python | system_tests/test_app_engine.py | yhuang/google-auth-library-python | ccf2e502e0b15633956c007fae92e2404a6418ad | [
"Apache-2.0"
] | 1 | 2020-05-27T15:48:51.000Z | 2020-05-27T15:48:51.000Z | system_tests/test_app_engine.py | yhuang/google-auth-library-python | ccf2e502e0b15633956c007fae92e2404a6418ad | [
"Apache-2.0"
] | null | null | null | system_tests/test_app_engine.py | yhuang/google-auth-library-python | ccf2e502e0b15633956c007fae92e2404a6418ad | [
"Apache-2.0"
] | 1 | 2019-11-11T18:39:46.000Z | 2019-11-11T18:39:46.000Z | # Copyright 2016 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 34.695652 | 74 | 0.756892 | # Copyright 2016 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 0 | 0 | 0 | 0 | 0 | 144 | 0 | 0 | 23 |
c600576e5860966b3254155c8bab3c8a148fd251 | 180 | py | Python | 2d.py | tcstewar/ik2017 | 582156a9e3f888f2d1a5e27024e08ef97652e57c | [
"MIT"
] | 5 | 2017-03-13T15:29:18.000Z | 2017-03-14T14:54:54.000Z | comm.py | tcstewar/ik2017 | 582156a9e3f888f2d1a5e27024e08ef97652e57c | [
"MIT"
] | null | null | null | comm.py | tcstewar/ik2017 | 582156a9e3f888f2d1a5e27024e08ef97652e57c | [
"MIT"
] | null | null | null | import nengo
model = nengo.Network()
with model:
a = nengo.Ensemble(n_neurons=100, dimensions=2, radius=1)
stim = nengo.Node([0,0])
nengo.Connection(stim, a) | 20 | 61 | 0.644444 | import nengo
model = nengo.Network()
with model:
a = nengo.Ensemble(n_neurons=100, dimensions=2, radius=1)
stim = nengo.Node([0,0])
nengo.Connection(stim, a) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
766d111951c2d783a6fb6d8bc5c9611421ae0867 | 1,428 | py | Python | exec/12-2.py | MasazI/python-r-stan-bayesian-model-2 | 288876b31b6c3d74d523babc475d4794cd29680a | [
"MIT"
] | 25 | 2020-07-11T11:07:28.000Z | 2022-03-06T01:12:45.000Z | exec/12-2.py | MasazI/python-r-stan-bayesian-model-2 | 288876b31b6c3d74d523babc475d4794cd29680a | [
"MIT"
] | null | null | null | exec/12-2.py | MasazI/python-r-stan-bayesian-model-2 | 288876b31b6c3d74d523babc475d4794cd29680a | [
"MIT"
] | 1 | 2021-05-06T08:48:55.000Z | 2021-05-06T08:48:55.000Z | #
#
# Own Library
if __name__ == '__main__':
spm = SPM('data-ss2.txt', '../model/model12-2')
spm.describe()
spm.observe_ts()
stan_data = spm.create_data()
mcmc_sample = spm.fit(stan_data)
#
spm.create_figure(mcmc_sample, 'y_mean_pred')
#
spm.create_figure(mcmc_sample, 'm... | 24.62069 | 89 | 0.587535 | # 時系列予測の問題に季節項を導入する
# 時系列データは、目的変数を観測値の要素の和に分解するのが定石
# Own Library
import mcmc_tools
import analysis_data as ad
import seaborn as sns
import matplotlib.pyplot as plt
class SPM(ad.AnalysisData):
def observe_ts(self):
sns.lineplot(x=self.data['X'], y=self.data['Y'])
plt.show()
plt.close()
... | 228 | 0 | 0 | 850 | 0 | 0 | 0 | 11 | 112 |
27588fd5f14b8212df3a99af54f72d43a28cfd8f | 16,055 | py | Python | legacy/ScopTester.py | 861934367/cgat | 77fdc2f819320110ed56b5b61968468f73dfc5cb | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 87 | 2015-01-01T03:48:19.000Z | 2021-11-23T16:23:24.000Z | legacy/ScopTester.py | 861934367/cgat | 77fdc2f819320110ed56b5b61968468f73dfc5cb | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 189 | 2015-01-06T15:53:11.000Z | 2019-05-31T13:19:45.000Z | legacy/ScopTester.py | CGATOxford/cgat | 326aad4694bdfae8ddc194171bb5d73911243947 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | 56 | 2015-01-13T02:18:50.000Z | 2022-01-05T10:00:59.000Z | ################################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as publish... | 36.823394 | 120 | 0.482903 | ################################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 Andreas Heger
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as publish... | 0 | 0 | 0 | 12,957 | 0 | 0 | 0 | 0 | 178 |
9d68468167a5ad6a7cbcf83c2e4439a5b61db798 | 3,045 | py | Python | tests/cookie_jar_test.py | p/webracer | 3eb40b520bbf884c4458482fc3a05a9a9632d026 | [
"BSD-2-Clause"
] | null | null | null | tests/cookie_jar_test.py | p/webracer | 3eb40b520bbf884c4458482fc3a05a9a9632d026 | [
"BSD-2-Clause"
] | null | null | null | tests/cookie_jar_test.py | p/webracer | 3eb40b520bbf884c4458482fc3a05a9a9632d026 | [
"BSD-2-Clause"
] | 1 | 2019-04-13T07:43:28.000Z | 2019-04-13T07:43:28.000Z | from . import utils
from .apps import kitchen_sink_app
utils.app_runner_setup(__name__, kitchen_sink_app.app, 8056)
base_config = dict(host='localhost', port=8056)
| 34.213483 | 68 | 0.639409 | import webracer
import nose.plugins.attrib
from . import utils
from .apps import kitchen_sink_app
utils.app_runner_setup(__name__, kitchen_sink_app.app, 8056)
base_config = dict(host='localhost', port=8056)
@nose.plugins.attrib.attr('client')
class AgentWithoutCookieJarTest(webracer.WebTestCase):
def test_reques... | 0 | 2,813 | 0 | 0 | 0 | 0 | 0 | -1 | 67 |
485e7adc798133d68d09418c1fa6da75a642fe2f | 1,221 | py | Python | examinations/models.py | CASDON-MYSTERY/studentapp | 0fd942e963a10a02a6c9f358dd362cfd646eecc3 | [
"MIT"
] | null | null | null | examinations/models.py | CASDON-MYSTERY/studentapp | 0fd942e963a10a02a6c9f358dd362cfd646eecc3 | [
"MIT"
] | null | null | null | examinations/models.py | CASDON-MYSTERY/studentapp | 0fd942e963a10a02a6c9f358dd362cfd646eecc3 | [
"MIT"
] | null | null | null |
# Create your models here.
| 33 | 98 | 0.701065 | from django.db import models
from lectures.models import Day
# Create your models here.
class Exam_day_and_venue(models.Model):
day = models.ForeignKey(Day, on_delete=models.CASCADE,related_name="examination_day")
starting_time = models.TimeField("startin_time", auto_now=False, auto_now_add=False)
closin... | 0 | 0 | 0 | 1,085 | 0 | 0 | 0 | 17 | 90 |
cbb70d43a8d3ff65154e3094134aa202598e0698 | 520 | py | Python | chapter_1/update_db_classes.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_1/update_db_classes.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_1/update_db_classes.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | "Step 3: Stepping Up to OOP"
'Adding Persistence'
# Notice how we still fetch, update, and
# reassign to keys to update the shelve.
import shelve
db = shelve.open('class-shelve')
sue = db['sue']
sue.giveRaise(.25)
db['sue'] = sue
tom = db['tom']
tom.giveRaise(.20)
db['tom'] = tom
db.close()
'''
class instance... | 20 | 89 | 0.717308 | "Step 3: Stepping Up to OOP"
'Adding Persistence'
# Notice how we still fetch, update, and
# reassign to keys to update the shelve.
import shelve
db = shelve.open('class-shelve')
sue = db['sue']
sue.giveRaise(.25)
db['sue'] = sue
tom = db['tom']
tom.giveRaise(.20)
db['tom'] = tom
db.close()
'''
class instance... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a881db586e6a52a9d7f7a3a1b1799f27a90fb26 | 2,315 | py | Python | src/wat/read_annotations.py | luiscarlosgph/keypoint-annotation-tool | 390a328b5d0d02587a1d12784b7ef70363966036 | [
"MIT"
] | 6 | 2021-01-29T18:17:37.000Z | 2022-03-08T22:17:26.000Z | src/wat/read_annotations.py | luiscarlosgph/keypoint-annotation-tool | 390a328b5d0d02587a1d12784b7ef70363966036 | [
"MIT"
] | null | null | null | src/wat/read_annotations.py | luiscarlosgph/keypoint-annotation-tool | 390a328b5d0d02587a1d12784b7ef70363966036 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# Exemplary script to read the annotations generated by the web application
# in this repo.
#
# @author: Luis Carlos Garcia-Peraza Herrera (luiscarlos.gph@gmail.com).
# @date : 20 Jan 2021.
import argparse
# My imports
def parse_cmdline_params():
"""
@brief Parse command line parameters... | 30.866667 | 85 | 0.67689 | #!/usr/bin/python
#
# Exemplary script to read the annotations generated by the web application
# in this repo.
#
# @author: Luis Carlos Garcia-Peraza Herrera (luiscarlos.gph@gmail.com).
# @date : 20 Jan 2021.
import argparse
import json
import cv2
import numpy as np
import os
# My imports
import wat.common
def pa... | 0 | 0 | 0 | 0 | 0 | 1,341 | 0 | -40 | 179 |
85dc97c10a3b03dac2ae07effad2e7b455ad2038 | 2,802 | py | Python | loaner/web_app/backend/api/loaner_endpoints.py | McDiesel/loaner | dcf5fa640ee9059a814650fa4432fa1116df78e9 | [
"Apache-2.0"
] | null | null | null | loaner/web_app/backend/api/loaner_endpoints.py | McDiesel/loaner | dcf5fa640ee9059a814650fa4432fa1116df78e9 | [
"Apache-2.0"
] | null | null | null | loaner/web_app/backend/api/loaner_endpoints.py | McDiesel/loaner | dcf5fa640ee9059a814650fa4432fa1116df78e9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 30.791209 | 80 | 0.729479 | # Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 0 | 0 | 0 | 122 | 0 | 0 | 0 | 0 | 46 |
f7f108f68a198ca04eb13f738f69699895622019 | 4,088 | py | Python | DQM/SiPixelPhase1Track/python/SiPixelPhase1RecHits_cfi.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 1 | 2019-03-09T19:47:49.000Z | 2019-03-09T19:47:49.000Z | DQM/SiPixelPhase1Track/python/SiPixelPhase1RecHits_cfi.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | DQM/SiPixelPhase1Track/python/SiPixelPhase1RecHits_cfi.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | 1 | 2019-03-19T13:44:54.000Z | 2019-03-19T13:44:54.000Z | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
import DQM.SiPixelPhase1Common.TriggerEventFlag_cfi as trigger
SiPixelPhase1RecHitsNRecHits = DefaultHistoTrack.clone(
name = "rechits",
title = "RecHits",
range_min = 0, range_max = 30, range_nbins = 30,
xlabel... | 30.281481 | 88 | 0.668297 | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
from DQM.SiPixelPhase1Common.HistogramManager_cfi import *
import DQM.SiPixelPhase1Common.TriggerEventFlag_cfi as trigger
SiPixelPhase1RecHitsNRecHits = DefaultHistoTrack.clone(
name = "rechits",
title = "RecHits",
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 22 |
632451821cd68317df541d0fbb2c8499a34ac64b | 1,624 | py | Python | add_doi_minting_date.py | caltechlibrary/caltechdata_api | 69a986642942379a12fac64cbba4c08c4ae29cc3 | [
"BSD-3-Clause"
] | 7 | 2018-03-07T17:24:22.000Z | 2022-02-01T20:01:30.000Z | add_doi_minting_date.py | caltechlibrary/caltechdata_api | 69a986642942379a12fac64cbba4c08c4ae29cc3 | [
"BSD-3-Clause"
] | 7 | 2018-05-18T23:49:17.000Z | 2021-07-22T23:40:26.000Z | add_doi_minting_date.py | caltechlibrary/caltechdata_api | 69a986642942379a12fac64cbba4c08c4ae29cc3 | [
"BSD-3-Clause"
] | null | null | null | import os, requests
from progressbar import progressbar
from caltechdata_api import get_metadata, caltechdata_edit
def get_datacite_dates(prefix):
"""Get sumbitted date for DataCite DOIs with specific prefix"""
doi_dates = {}
doi_urls = {}
url = (
"https://api.datacite.org/dois?query=prefix:"
... | 34.553191 | 85 | 0.580665 | import os, requests
from progressbar import progressbar
from caltechdata_api import get_metadata, caltechdata_edit
def get_datacite_dates(prefix):
"""Get sumbitted date for DataCite DOIs with specific prefix"""
doi_dates = {}
doi_urls = {}
url = (
"https://api.datacite.org/dois?query=prefix:"
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
80440041b109c31bfaff3f15a0eeac9320c0e9ea | 457 | py | Python | lecture_02/114_transformation_between_frames.py | farzanehesk/COMPAS-II-FS2022 | 857eb40000f0532d0c04689331eadefd38dce6b7 | [
"MIT"
] | 11 | 2022-01-24T15:07:15.000Z | 2022-03-29T12:58:05.000Z | lecture_02/114_transformation_between_frames.py | farzanehesk/COMPAS-II-FS2022 | 857eb40000f0532d0c04689331eadefd38dce6b7 | [
"MIT"
] | 4 | 2022-03-16T06:06:45.000Z | 2022-03-29T22:59:11.000Z | lecture_02/114_transformation_between_frames.py | farzanehesk/COMPAS-II-FS2022 | 857eb40000f0532d0c04689331eadefd38dce6b7 | [
"MIT"
] | 20 | 2022-03-02T10:36:41.000Z | 2022-03-09T00:12:33.000Z | """Transformation between two frames.
"""
from compas.geometry import Frame
from compas.geometry import Point
from compas.geometry import Transformation
F1 = Frame.worldXY()
F2 = Frame([1.5, 1, 0], [0.68, 0.68, 0.27], [-0.67, 0.73, -0.15])
P = Point(2, 2, 2) # local point in F1
# transformation between 2 frames F1, ... | 28.5625 | 65 | 0.719912 | """Transformation between two frames.
"""
from compas.geometry import Frame
from compas.geometry import Point
from compas.geometry import Transformation
F1 = Frame.worldXY()
F2 = Frame([1.5, 1, 0], [0.68, 0.68, 0.27], [-0.67, 0.73, -0.15])
P = Point(2, 2, 2) # local point in F1
# transformation between 2 frames F1, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6885620e6742d218394dec3d59818cd86ca65791 | 641 | py | Python | instaapp/urls.py | Michellemukami/insta-clone | 423aa3d2aacac82372a611f8f51ba487889a2f9d | [
"MIT"
] | null | null | null | instaapp/urls.py | Michellemukami/insta-clone | 423aa3d2aacac82372a611f8f51ba487889a2f9d | [
"MIT"
] | 4 | 2020-06-05T22:37:15.000Z | 2021-09-08T01:15:10.000Z | instaapp/urls.py | Michellemukami/insta-clone | 423aa3d2aacac82372a611f8f51ba487889a2f9d | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns=[
url('^$',views.login_page,name = 'come'),
url(r'^new/profile$', views.profile, name='profile'),
url(r'^user/', views.user, name='user'),
url(r'^search/', v... | 30.52381 | 81 | 0.678627 | from django.conf.urls import url
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns=[
url('^$',views.login_page,name = 'come'),
url(r'^new/profile$', views.profile, name='profile'),
url(r'^user/', views.user, name='user'),
url(r'^search/', v... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5c78fbb9c800452caf6342bc4bd90b168a90e6ef | 19,090 | py | Python | autonomous_exploration/autonomous_exploration/autonomousExploration.py | antonikaras/thesis_ros2 | 36673cd8a4161b1cf4045e8bdda36275a2a337ce | [
"BSD-2-Clause"
] | 1 | 2021-06-27T02:01:22.000Z | 2021-06-27T02:01:22.000Z | autonomous_exploration/autonomous_exploration/autonomousExploration.py | antonikaras/thesis_ros2 | 36673cd8a4161b1cf4045e8bdda36275a2a337ce | [
"BSD-2-Clause"
] | 1 | 2021-09-30T01:56:04.000Z | 2021-09-30T10:26:13.000Z | autonomous_exploration/autonomous_exploration/autonomousExploration.py | antonikaras/thesis_ros2 | 36673cd8a4161b1cf4045e8bdda36275a2a337ce | [
"BSD-2-Clause"
] | 1 | 2021-09-30T01:52:28.000Z | 2021-09-30T01:52:28.000Z | # Import ROS2 libraries
# Import message files
# Import other libraries
###################################################################################################
if __name__ == '__main__':
main() | 40.274262 | 195 | 0.582556 | # Import ROS2 libraries
import rclpy
from rclpy.node import Node
from rclpy.action import ActionClient, ActionServer, GoalResponse, CancelResponse
from rclpy.qos import QoSProfile
from rclpy.callback_groups import ReentrantCallbackGroup
from rclpy.executors import MultiThreadedExecutor
# Import message files
from geom... | 0 | 0 | 861 | 16,888 | 0 | 421 | 0 | 332 | 375 |
36812059fa58166e6ee951d9dfb976bcdcdb394d | 2,773 | py | Python | loggers/progress_interface.py | kefir/snakee | a17734d4b2d7dfd3e6c7b195baa128fbc84d197b | [
"MIT"
] | null | null | null | loggers/progress_interface.py | kefir/snakee | a17734d4b2d7dfd3e6c7b195baa128fbc84d197b | [
"MIT"
] | null | null | null | loggers/progress_interface.py | kefir/snakee | a17734d4b2d7dfd3e6c7b195baa128fbc84d197b | [
"MIT"
] | 2 | 2021-04-10T19:22:15.000Z | 2022-03-08T19:37:56.000Z | from typing import Union
try: # Assume we're a sub-module in a package.
from utils import arguments as arg
from base.abstract.tree_item import TreeInterface
from loggers.extended_logger_interface import ExtendedLoggerInterface
except ImportError: # Apparently no higher-level package has been imported, fa... | 27.186275 | 107 | 0.653083 | from abc import ABC, abstractmethod
from enum import Enum
from typing import Optional, Union, Iterable, NoReturn
try: # Assume we're a sub-module in a package.
from utils import arguments as arg
from base.abstract.tree_item import TreeInterface
from loggers.extended_logger_interface import ExtendedLoggerI... | 0 | 1,487 | 0 | 146 | 0 | 0 | 0 | 74 | 547 |
06147a362cae90b4d400fabd85cb0b31d1338c1b | 1,240 | py | Python | CLASSIC PUZZLE - MEDIUM/mayan-calculation.py | martincourtois/CodinGame | 4df9c8af5cb9c513880dd086da9bf3f201bd56ed | [
"Unlicense"
] | null | null | null | CLASSIC PUZZLE - MEDIUM/mayan-calculation.py | martincourtois/CodinGame | 4df9c8af5cb9c513880dd086da9bf3f201bd56ed | [
"Unlicense"
] | null | null | null | CLASSIC PUZZLE - MEDIUM/mayan-calculation.py | martincourtois/CodinGame | 4df9c8af5cb9c513880dd086da9bf3f201bd56ed | [
"Unlicense"
] | null | null | null |
BASE=20
Sym2Base={}
Base2Sym={}
l, h = [int(i) for i in input().split()]
for i in range(h):
numeral=input()
for j in range(BASE):
idx=l*j
STR=numeral[idx:idx+l]
if j in Base2Sym:
Base2Sym[j]+=[STR]
else:
Base2Sym[j]=[STR]
for key,value in Base2Sym.items... | 18.507463 | 55 | 0.537097 | import sys
import math
BASE=20
Sym2Base={}
Base2Sym={}
l, h = [int(i) for i in input().split()]
for i in range(h):
numeral=input()
for j in range(BASE):
idx=l*j
STR=numeral[idx:idx+l]
if j in Base2Sym:
Base2Sym[j]+=[STR]
else:
Base2Sym[j]=[STR]
for key,... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -21 | 44 |
a197e2de1fc9100ea53ed671c6bed2bbd3b2ff67 | 5,551 | py | Python | main.py | vutienhung260798/keras-retinanet | 73e167cf0bd76563f1171699697343cf9945f53b | [
"Apache-2.0"
] | null | null | null | main.py | vutienhung260798/keras-retinanet | 73e167cf0bd76563f1171699697343cf9945f53b | [
"Apache-2.0"
] | 4 | 2020-01-28T22:22:00.000Z | 2022-02-09T23:36:54.000Z | main.py | vutienhung260798/keras-retinanet | 73e167cf0bd76563f1171699697343cf9945f53b | [
"Apache-2.0"
] | null | null | null | import os
import shutil
import numpy as np
# from google.colab import drive
# from google.colab import files
# %matplotlib inline
# # automatically reload modules when they have changed
# %reload_ext autoreload
# %autoreload 2
# # import keras
# import keras_retinanet
# import miscellaneous modules
import os
# set ... | 33.239521 | 194 | 0.652495 | import os
import shutil
import zipfile
import urllib
import xml.etree.ElementTree as ET
import numpy as np
import csv
import pandas
# from google.colab import drive
# from google.colab import files
# %matplotlib inline
# # automatically reload modules when they have changed
# %reload_ext autoreload
# %autoreload 2
# ... | 0 | 0 | 0 | 0 | 0 | 4,378 | 0 | 85 | 510 |
43ee1d4b0f5fd09b8583052db30dee40c388a21c | 2,489 | py | Python | Chapter06/descriptors_pythonic_2.py | TranQuangDuc/Clean-Code-in-Python | 3c4b4a2fde2ccf28d2e0ec5002b2e1921704164e | [
"MIT"
] | 402 | 2018-08-19T03:09:40.000Z | 2022-03-30T08:10:26.000Z | Chapter06/descriptors_pythonic_2.py | TranQuangDuc/Clean-Code-in-Python | 3c4b4a2fde2ccf28d2e0ec5002b2e1921704164e | [
"MIT"
] | 3 | 2019-01-29T20:36:28.000Z | 2022-03-02T02:16:23.000Z | Chapter06/descriptors_pythonic_2.py | TranQuangDuc/Clean-Code-in-Python | 3c4b4a2fde2ccf28d2e0ec5002b2e1921704164e | [
"MIT"
] | 140 | 2018-09-16T05:47:46.000Z | 2022-03-31T03:20:30.000Z | """Clean Code in Python - Chapter 6: Descriptors
> A Pythonic Implementation
"""
| 28.94186 | 79 | 0.648855 | """Clean Code in Python - Chapter 6: Descriptors
> A Pythonic Implementation
"""
class HistoryTracedAttribute:
"""Trace the values of this attribute into another one given by the name at
``trace_attribute_name``.
"""
def __init__(self, trace_attribute_name: str) -> None:
self.trace_attribut... | 0 | 0 | 0 | 2,358 | 0 | 0 | 0 | 0 | 46 |
71250c279386af28fe56d8a22bdf0dd78d63e5ee | 2,621 | py | Python | pypi_portal/tasks/pypi.py | SiddharthSudhakar/Flask-prod-app-structure | 4213201ab007ec7b10bdb44c4c8acc6dd3dc59ca | [
"MIT"
] | 565 | 2015-01-08T15:04:14.000Z | 2022-03-20T16:43:28.000Z | pypi_portal/tasks/pypi.py | rams502/Flask-Large-Application-Example | f536c3dee4050634cf4dfe77a6bb116040e6cf14 | [
"MIT"
] | 4 | 2015-11-30T08:28:08.000Z | 2016-12-09T08:54:26.000Z | pypi_portal/tasks/pypi.py | rams502/Flask-Large-Application-Example | f536c3dee4050634cf4dfe77a6bb116040e6cf14 | [
"MIT"
] | 138 | 2015-02-16T23:03:18.000Z | 2021-11-04T01:17:40.000Z | """Retrieve data from PyPI."""
from logging import getLogger
LOG = getLogger(__name__)
THROTTLE = 1 * 60 * 60
| 40.323077 | 120 | 0.695155 | """Retrieve data from PyPI."""
from distutils.version import LooseVersion
from logging import getLogger
import xmlrpclib
from flask.ext.celery import single_instance
from pypi_portal.extensions import celery, db, redis
from pypi_portal.models.pypi import Package
from pypi_portal.models.redis import POLL_SIMPLE_THROT... | 0 | 2,223 | 0 | 0 | 0 | 0 | 0 | 128 | 158 |
4cce00aa5de582f5670857de07c52a8bef04a856 | 2,546 | py | Python | quex/output/core/state_machine_coder.py | Liby99/quex | 45f3d21d5df3307376e175cca2d8473e26cb5622 | [
"MIT"
] | null | null | null | quex/output/core/state_machine_coder.py | Liby99/quex | 45f3d21d5df3307376e175cca2d8473e26cb5622 | [
"MIT"
] | 1 | 2022-01-31T18:08:44.000Z | 2022-01-31T18:08:44.000Z | quex/output/core/state_machine_coder.py | raccoonmonk/quex | 20ffe451df9fd49bdc216ce45b8263fa228670e5 | [
"MIT"
] | null | null | null | # Project Quex (http://quex.sourceforge.net); License: MIT;
# (C) 2005-2020 Frank-Rene Schaefer;
#_______________________________________________________________________________
import quex.output.core.state.core as state_coder
import quex.output.core.state.entry as entry
import quex.output.core.mega_... | 38 | 88 | 0.706991 | # Project Quex (http://quex.sourceforge.net); License: MIT;
# (C) 2005-2020 Frank-Rene Schaefer;
#_______________________________________________________________________________
import quex.output.core.state.core as state_coder
import quex.output.core.state.entry as entry
import quex.output.core.mega_... | 0 | 0 | 0 | 0 | 448 | 127 | 0 | 30 | 69 |
0ca4b19554d9dc9108e289b3ba59d1f5db6441a4 | 21,179 | py | Python | script/BuildConsolidatedFeaturesFile.py | smenon8/AnimalPhotoBias | 0b97a8a6d51ad749b4338febdee9d67b80dc3853 | [
"BSD-3-Clause"
] | 2 | 2017-02-12T02:33:12.000Z | 2021-06-21T09:03:34.000Z | script/BuildConsolidatedFeaturesFile.py | smenon8/AnimalWildlifeEstimator | 0b97a8a6d51ad749b4338febdee9d67b80dc3853 | [
"BSD-3-Clause"
] | 14 | 2016-08-31T03:05:44.000Z | 2017-06-02T17:37:29.000Z | script/BuildConsolidatedFeaturesFile.py | smenon8/AnimalPhotoBias | 0b97a8a6d51ad749b4338febdee9d67b80dc3853 | [
"BSD-3-Clause"
] | 1 | 2016-04-29T20:33:45.000Z | 2016-04-29T20:33:45.000Z | # python-3
# coding: utf-8
'''
Script Name: BuildConsolidatedFeaturesFile.py
Created date : Sunday, 27th March
Author : Sreejith Menon
Description :
buildFeatureFl(input file,output file)
Reads from a csv file (taken as a parameter) containing a list of image GIDs.
Extracts the below features from the IBEIS datas... | 41.855731 | 161 | 0.656074 | # python-3
# coding: utf-8
'''
Script Name: BuildConsolidatedFeaturesFile.py
Created date : Sunday, 27th March
Author : Sreejith Menon
Description :
buildFeatureFl(input file,output file)
Reads from a csv file (taken as a parameter) containing a list of image GIDs.
Extracts the below features from the IBEIS datas... | 0 | 0 | 0 | 0 | 0 | 15,081 | 0 | 60 | 430 |
8e03e376e99bc71cbaabe97c09cb6c6de66197ff | 18,642 | py | Python | component/FileBrowser.py | timothyhalim/nuke-welcome-screen | 563c91c535d8914892fa7c1f8bf29851b8397eb3 | [
"Unlicense"
] | 3 | 2021-04-12T19:17:19.000Z | 2022-03-03T18:23:45.000Z | component/FileBrowser.py | timothyhalim/welcome-screen | 563c91c535d8914892fa7c1f8bf29851b8397eb3 | [
"Unlicense"
] | null | null | null | component/FileBrowser.py | timothyhalim/welcome-screen | 563c91c535d8914892fa7c1f8bf29851b8397eb3 | [
"Unlicense"
] | null | null | null | # TODO
try:
except: | 35.508571 | 118 | 0.564639 | # TODO
import subprocess
import sys
import os
import re
from glob import glob
try:
from PySide2.QtWidgets import *
from PySide2.QtGui import *
from PySide2.QtCore import *
except:
from PySide.QtGui import *
from PySide.QtCore import *
def getDrives():
platform = sys.platform
if p... | 0 | 0 | 0 | 16,235 | 0 | 1,996 | 0 | 3 | 387 |
f3167a11f305bd52e84dacb04f8a81a811d44393 | 8,784 | py | Python | NightlyTests/tensorflow/test_adaround.py | aaronkjones/aimet | 08feb34573281f87c53301935652a02f8d573858 | [
"BSD-3-Clause"
] | null | null | null | NightlyTests/tensorflow/test_adaround.py | aaronkjones/aimet | 08feb34573281f87c53301935652a02f8d573858 | [
"BSD-3-Clause"
] | null | null | null | NightlyTests/tensorflow/test_adaround.py | aaronkjones/aimet | 08feb34573281f87c53301935652a02f8d573858 | [
"BSD-3-Clause"
] | null | null | null | # /usr/bin/env python3.6
# -*- mode: python -*-
# =============================================================================
# @@-COPYRIGHT-START-@@
#
# Copyright (c) 2021, Qualcomm Innovation Center, Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification,... | 44.588832 | 118 | 0.677026 | # /usr/bin/env python3.6
# -*- mode: python -*-
# =============================================================================
# @@-COPYRIGHT-START-@@
#
# Copyright (c) 2021, Qualcomm Innovation Center, Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification,... | 0 | 2,616 | 0 | 3,647 | 0 | 0 | 0 | 193 | 288 |
61205a6832b5abb6004146fd516d3addbef0ffaf | 1,888 | py | Python | test/test_7.py | rgooler/AOC2019 | f761881240a5fe8711f730887f0f5033ea287e3d | [
"Apache-2.0"
] | null | null | null | test/test_7.py | rgooler/AOC2019 | f761881240a5fe8711f730887f0f5033ea287e3d | [
"Apache-2.0"
] | null | null | null | test/test_7.py | rgooler/AOC2019 | f761881240a5fe8711f730887f0f5033ea287e3d | [
"Apache-2.0"
] | null | null | null | import logging
logging.basicConfig(level=logging.CRITICAL)
| 40.170213 | 191 | 0.603284 | import unittest
import logging
logging.basicConfig(level=logging.CRITICAL)
from aoc2019 import Amplifier
class Day7(unittest.TestCase):
def test_part1_a(self):
phase_sequence = [4,3,2,1,0]
code = [3,15,3,16,1002,16,10,16,1,16,15,15,4,15,99,0,0]
chall = Amplifier(code=code, enable_l... | 0 | 0 | 0 | 1,756 | 0 | 0 | 0 | 2 | 70 |
7012f9d95fc65ac47f73e994b77273ec96e31638 | 2,015 | py | Python | crawling scripts/uber_eats.py | kulten/Restaurant-search-engine | ba9d90c5f97f3360757aa7e60d4e9a349943dab9 | [
"MIT"
] | null | null | null | crawling scripts/uber_eats.py | kulten/Restaurant-search-engine | ba9d90c5f97f3360757aa7e60d4e9a349943dab9 | [
"MIT"
] | null | null | null | crawling scripts/uber_eats.py | kulten/Restaurant-search-engine | ba9d90c5f97f3360757aa7e60d4e9a349943dab9 | [
"MIT"
] | null | null | null | from selenium import webdriver
import json
from crawlpack.helpers import id_gen, connect
chrome_options = webdriver.ChromeOptions()
chrome_options.add_experimental_option( "prefs",{'profile.managed_default_content_settings.javascript': 2})
driver = webdriver.Chrome(chrome_options=chrome_options)
conn, cur = connect(... | 51.666667 | 272 | 0.665509 | import time
from selenium import webdriver
import json
from crawlpack.helpers import id_gen, connect
chrome_options = webdriver.ChromeOptions()
chrome_options.add_experimental_option( "prefs",{'profile.managed_default_content_settings.javascript': 2})
driver = webdriver.Chrome(chrome_options=chrome_options)
conn, cu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
1404028406d10381b34041ce381700c4c5e64506 | 990 | py | Python | phiimages/tests.py | denn-is-njeruh/Instaclone | a2f3c36822c419bfeadc56adccce00ce77e1d16e | [
"MIT"
] | null | null | null | phiimages/tests.py | denn-is-njeruh/Instaclone | a2f3c36822c419bfeadc56adccce00ce77e1d16e | [
"MIT"
] | null | null | null | phiimages/tests.py | denn-is-njeruh/Instaclone | a2f3c36822c419bfeadc56adccce00ce77e1d16e | [
"MIT"
] | null | null | null |
# Create your tests here.
| 35.357143 | 192 | 0.713131 | from django.test import TestCase
from .models import Image, Profile
# Create your tests here.
class TestProfileClass(TestCase):
def setUp(self):
self.new_profile = Profile(name = 'the_phi', profile_photo = 'image.jpg', bio = 'Dedicated coder')
def test_instance(self):
self.assertTrue(isinstance(self.new... | 0 | 0 | 0 | 850 | 0 | 0 | 0 | 24 | 89 |
a8224b54c25f0f4161bab881ff1dc019d12d9b80 | 9,052 | py | Python | pysnmp/NBS-SIGLANE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/NBS-SIGLANE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/NBS-SIGLANE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module NBS-SIGLANE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NBS-SIGLANE-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:07:45 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27... | 127.492958 | 1,253 | 0.773089 | #
# PySNMP MIB module NBS-SIGLANE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NBS-SIGLANE-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:07:45 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a36bc46d294cc96d17322dd9c9fdb9fa7f5bb8a7 | 685 | py | Python | server/djangoapp/admin.py | AbdKenn/agfzb-CloudAppDevelopment_Capstone | 78512461254dc398a1f55fa198b68de5a6731b2b | [
"Apache-2.0"
] | null | null | null | server/djangoapp/admin.py | AbdKenn/agfzb-CloudAppDevelopment_Capstone | 78512461254dc398a1f55fa198b68de5a6731b2b | [
"Apache-2.0"
] | null | null | null | server/djangoapp/admin.py | AbdKenn/agfzb-CloudAppDevelopment_Capstone | 78512461254dc398a1f55fa198b68de5a6731b2b | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import CarMake, CarModel
# Register your models here.
#admin.site.register(CarMake)
#admin.site.register(CarModel)
# CarModelInline class
# CarModelAdmin class
# CarMakeAdmin class with CarModelInline
# Register models here
admin.site.register(CarModel)
admin.site.r... | 25.37037 | 49 | 0.738686 | from django.contrib import admin
from .models import CarMake, CarModel
# Register your models here.
#admin.site.register(CarMake)
#admin.site.register(CarModel)
# CarModelInline class
class CarModelInline(admin.StackedInline):
model = CarModel
#extra = 5
# CarModelAdmin class
class CarModelAdmin(admin.M... | 0 | 0 | 0 | 268 | 0 | 0 | 0 | 0 | 66 |
355d02ea714772075a1790c26bb4c418bc4e9aad | 1,402 | py | Python | semantic_segmentation/configs/_base_/models/upernet_convnext.py | ParikhKadam/ConvNeXt | d1fa8f6fef0a165b27399986cc2bdacc92777e40 | [
"MIT"
] | 3,453 | 2022-01-11T01:49:27.000Z | 2022-03-31T12:35:56.000Z | semantic_segmentation/configs/_base_/models/upernet_convnext.py | ParikhKadam/ConvNeXt | d1fa8f6fef0a165b27399986cc2bdacc92777e40 | [
"MIT"
] | 80 | 2022-01-11T10:03:13.000Z | 2022-03-31T05:22:48.000Z | semantic_segmentation/configs/_base_/models/upernet_convnext.py | ParikhKadam/ConvNeXt | d1fa8f6fef0a165b27399986cc2bdacc92777e40 | [
"MIT"
] | 398 | 2022-01-11T02:42:28.000Z | 2022-03-31T06:30:47.000Z | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='EncoderDecoder',
pretrained=None,
bac... | 28.04 | 74 | 0.598431 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='EncoderDecoder',
pretrained=None,
bac... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e6cdd09d28b8d706c93874dff659d7ce8d79506b | 1,695 | py | Python | tests/python/twitter/common/quantity/test_parsing.py | zhouyijiaren/commons | 10df6fb63547baa9047782aa7ad4edf354914b10 | [
"Apache-2.0"
] | 1,143 | 2015-01-05T04:19:24.000Z | 2019-12-11T12:02:23.000Z | tests/python/twitter/common/quantity/test_parsing.py | zhouyijiaren/commons | 10df6fb63547baa9047782aa7ad4edf354914b10 | [
"Apache-2.0"
] | 144 | 2015-01-06T05:05:07.000Z | 2019-12-12T18:02:37.000Z | tests/python/twitter/common/quantity/test_parsing.py | zhouyijiaren/commons | 10df6fb63547baa9047782aa7ad4edf354914b10 | [
"Apache-2.0"
] | 426 | 2015-01-08T08:33:41.000Z | 2019-12-09T13:15:40.000Z | # ==================================================================================================
# Copyright 2011 Twitter, Inc.
# --------------------------------------------------------------------------------------------------
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... | 43.461538 | 100 | 0.60118 | # ==================================================================================================
# Copyright 2011 Twitter, Inc.
# --------------------------------------------------------------------------------------------------
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use thi... | 0 | 0 | 0 | 0 | 0 | 612 | 0 | 70 | 113 |
f394b02017f0e1636d2d430576fb8fa5688a4a89 | 79 | py | Python | src/__init__.py | Tauseef-Hilal/iCODE-BOT | dd4efa9084c35d238f1170ff3af69eeeb055abec | [
"MIT"
] | 1 | 2022-03-31T15:31:10.000Z | 2022-03-31T15:31:10.000Z | src/__init__.py | Tauseef-Hilal/iCODE-BOT | dd4efa9084c35d238f1170ff3af69eeeb055abec | [
"MIT"
] | null | null | null | src/__init__.py | Tauseef-Hilal/iCODE-BOT | dd4efa9084c35d238f1170ff3af69eeeb055abec | [
"MIT"
] | null | null | null | __author__ = "Tauseef Hilal Tantary"
__title__ = "iCODE-BOT"
__version__ = 1.0
| 19.75 | 36 | 0.746835 | __author__ = "Tauseef Hilal Tantary"
__title__ = "iCODE-BOT"
__version__ = 1.0
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
230d2beb84eb1c772ee30285ed46a43c88b22a1f | 2,656 | py | Python | sdk/python/pulumi_gcp/sql/database_instance.py | vrutkovs/pulumi-gcp | ced632feea265d95a38c7ae02826deaae77fb358 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_gcp/sql/database_instance.py | vrutkovs/pulumi-gcp | ced632feea265d95a38c7ae02826deaae77fb358 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_gcp/sql/database_instance.py | vrutkovs/pulumi-gcp | ced632feea265d95a38c7ae02826deaae77fb358 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
from .. import utilities, tables
| 40.242424 | 183 | 0.691642 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
import pulumi.runtime
from .. import utilities, tables
class DatabaseInstance(pulumi.CustomResource):
"""
Create... | 0 | 0 | 0 | 2,378 | 0 | 0 | 0 | 0 | 45 |
3948742f2a5abc4ef05a2d984c85454b2d48e44f | 4,121 | py | Python | backend/apps/account/models.py | codelieche/erp | 96861ff63a63a93918fbd5181ffb2646446d0eec | [
"MIT"
] | null | null | null | backend/apps/account/models.py | codelieche/erp | 96861ff63a63a93918fbd5181ffb2646446d0eec | [
"MIT"
] | 29 | 2020-06-05T19:57:11.000Z | 2022-02-26T13:42:36.000Z | backend/apps/account/models.py | codelieche/erp | 96861ff63a63a93918fbd5181ffb2646446d0eec | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
# Create your models here.
# get_user_model()Model
# Modeldjango.contrib.auth.models.User
# settings.pyAUTH_USER_MODELModel
# AUTH_USER_MODEL = "account.UserProfile"
User = get_user_model()
# class UserProfile
| 35.834783 | 94 | 0.677263 | from django.db import models
from django.contrib.auth.models import AbstractUser
from django.contrib.auth import get_user_model
# Create your models here.
class UserProfile(AbstractUser):
"""
自定义的用户Model
拓展字段gender, nick_name, mobile, qq
"""
GENDER_CHOICES = (
('male', "男"),
('fe... | 813 | 0 | 0 | 3,437 | 0 | 0 | 0 | 37 | 113 |
e885c149f86640e0c03b693520964b9ee91d4c2c | 929 | py | Python | record/list/migrations/0008_userorder.py | Brayton-Han/Brayton-s-Record | 67cb6f7b17d8cb2c5f428079afb091f12b015f5c | [
"MIT"
] | null | null | null | record/list/migrations/0008_userorder.py | Brayton-Han/Brayton-s-Record | 67cb6f7b17d8cb2c5f428079afb091f12b015f5c | [
"MIT"
] | null | null | null | record/list/migrations/0008_userorder.py | Brayton-Han/Brayton-s-Record | 67cb6f7b17d8cb2c5f428079afb091f12b015f5c | [
"MIT"
] | null | null | null | # Generated by Django 3.2.3 on 2021-06-09 13:27
| 29.967742 | 77 | 0.482239 | # Generated by Django 3.2.3 on 2021-06-09 13:27
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('list', '0007_delete_userorder'),
]
operations = [
migrations.CreateModel(
name='userorder',
fields=[
... | 6 | 0 | 0 | 807 | 0 | 0 | 0 | 19 | 50 |
da8f7395117236400bc244fab6d42b66306497f6 | 1,857 | py | Python | NN_PyTorch/12_RNN_regression.py | zhengxuanyu/NNByPytorch | f90b807a44234a48f914e03e45c9691f17eb3189 | [
"MIT"
] | 4 | 2019-03-17T07:51:20.000Z | 2020-02-18T20:39:16.000Z | NN_PyTorch/12_RNN_regression.py | zhengxuanyu/NNByPytorch | f90b807a44234a48f914e03e45c9691f17eb3189 | [
"MIT"
] | null | null | null | NN_PyTorch/12_RNN_regression.py | zhengxuanyu/NNByPytorch | f90b807a44234a48f914e03e45c9691f17eb3189 | [
"MIT"
] | null | null | null | import torch
from torch import nn
import numpy as np
import matplotlib.pyplot as plt
# hyper parameters
TIME_STEP = 10
INPUT_SIZE = 1
LR = 0.02
steps = np.linspace(0, np.pi * 2, 100, dtype=np.float32)
x_np = np.sin(steps)
y_np = np.cos(steps)
plt.plot(steps, y_np, 'r-', label='target (cos)')
plt.plot(... | 24.434211 | 65 | 0.584276 | import torch
from torch import nn
import numpy as np
import matplotlib.pyplot as plt
# hyper parameters
TIME_STEP = 10
INPUT_SIZE = 1
LR = 0.02
steps = np.linspace(0, np.pi * 2, 100, dtype=np.float32)
x_np = np.sin(steps)
y_np = np.cos(steps)
plt.plot(steps, y_np, 'r-', label='target (cos)')
plt.plot(... | 0 | 0 | 0 | 524 | 0 | 0 | 0 | 0 | 25 |
93243cb4b1ceea3e29fdf0c8924e9e481b0b1ddc | 1,478 | py | Python | deploy/create_dummy_notes.py | nonlinearfunction/gatsby-garden | ef8e60cf47300bcf709f20fb06ca4aa6f64c8a1c | [
"MIT"
] | null | null | null | deploy/create_dummy_notes.py | nonlinearfunction/gatsby-garden | ef8e60cf47300bcf709f20fb06ca4aa6f64c8a1c | [
"MIT"
] | null | null | null | deploy/create_dummy_notes.py | nonlinearfunction/gatsby-garden | ef8e60cf47300bcf709f20fb06ca4aa6f64c8a1c | [
"MIT"
] | 3 | 2022-02-22T22:38:47.000Z | 2022-02-25T15:17:49.000Z | import os
import re
import collections
NOTES_DIR = '/home/dave/nonlinearfunction/gatsby-garden/_notes'
md_files = [fname for fname in os.listdir(NOTES_DIR) if fname.endswith('.md')]
existing_notes = [fname[:-3] for fname in md_files]
refs = collections.defaultdict(int)
linked_notes = set()
for filename in md_files:... | 32.844444 | 78 | 0.592693 | import os
import re
import collections
NOTES_DIR = '/home/dave/nonlinearfunction/gatsby-garden/_notes'
md_files = [fname for fname in os.listdir(NOTES_DIR) if fname.endswith('.md')]
existing_notes = [fname[:-3] for fname in md_files]
refs = collections.defaultdict(int)
linked_notes = set()
for filename in md_files:... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0d16a7557165a155627b2b9afddb27bfca31e839 | 7,136 | py | Python | configs/functions.py | jordimas/spacy | 744783b56513f6d51baa40f3a4ccdac4a7b7533e | [
"MIT"
] | 13 | 2021-05-20T18:51:48.000Z | 2021-11-07T08:17:59.000Z | configs/functions.py | projecte-aina/spacy | 9996d385a036551c7ba0b20d1f0be976bf9c9c02 | [
"MIT"
] | 3 | 2021-05-20T17:52:01.000Z | 2021-06-22T20:10:24.000Z | configs/functions.py | projecte-aina/spacy | 9996d385a036551c7ba0b20d1f0be976bf9c9c02 | [
"MIT"
] | 2 | 2021-06-19T16:37:12.000Z | 2021-07-28T15:41:22.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 14 10:10:32 2021
@author: carlos.rodriguez1@bsc.es asier.gutierrez@bsc.es carme.armentano@bsc.es
"""
| 39.208791 | 134 | 0.565022 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 14 10:10:32 2021
@author: carlos.rodriguez1@bsc.es asier.gutierrez@bsc.es carme.armentano@bsc.es
"""
import spacy
import os
import json
from typing import List, Tuple, Optional
from thinc.api import Model
from spacy.pipeline import Lemmatizer
from ... | 0 | 4,160 | 0 | 2,463 | 0 | 0 | 0 | 45 | 291 |
02f3a1ffa6d264785465aa55ffbca59961bdd325 | 5,918 | py | Python | BLU.py | AdroitAdorKhan/EnergizedBlu | 6c48bf9f1a91b37ff07086692a8afc92818d60fe | [
"MIT"
] | null | null | null | BLU.py | AdroitAdorKhan/EnergizedBlu | 6c48bf9f1a91b37ff07086692a8afc92818d60fe | [
"MIT"
] | null | null | null | BLU.py | AdroitAdorKhan/EnergizedBlu | 6c48bf9f1a91b37ff07086692a8afc92818d60fe | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# Energized Blu
import urllib.request
import datetime
import os
import time
File = 'energized/blu'
List = []
# Thanks to all maintainers of hosts lists.
Sources = [
'https://raw.githubusercontent.com/AdroitAdorKhan/Energized/master/EnergizedHosts/EnergizedHosts',
'https:... | 65.755556 | 932 | 0.723893 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# Energized Blu
import urllib.request
import datetime
import os
import time
File = 'energized/blu'
List = []
# Thanks to all maintainers of hosts lists.
Sources = [
'https://raw.githubusercontent.com/AdroitAdorKhan/Energized/master/EnergizedHosts/EnergizedHosts',
'https:... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76b4ca5d35739f772e19658316215cfc154e9849 | 1,804 | py | Python | rain_notice.py | NekoSarada1101/secretary-slack-bot | fba66ad8227ce71af32c756971bf10e2517267ea | [
"MIT"
] | null | null | null | rain_notice.py | NekoSarada1101/secretary-slack-bot | fba66ad8227ce71af32c756971bf10e2517267ea | [
"MIT"
] | 12 | 2021-02-13T10:28:51.000Z | 2021-02-28T03:24:14.000Z | rain_notice.py | NekoSarada1101/secretary-slack-bot | fba66ad8227ce71af32c756971bf10e2517267ea | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
post_rain_notice()
| 33.407407 | 96 | 0.675721 | import json
import requests
from settings import *
def post_rain_notice():
weather_data = fetch_hourly_weather_data() # type: dict
payload = create_rain_notice_payload(weather_data) # type: json
if payload is not None:
response = requests.post(SLACK_WEBHOOK_URL, payload)
print(response)
... | 549 | 0 | 0 | 0 | 0 | 1,446 | 0 | -15 | 135 |
4a3c1abfc423f8d49d93f8f5e11b9a9e20bf58b5 | 15,365 | py | Python | contrib/script/py/pybase/pyopmo.py | michaelweiss092/LillyMol | a2b7d1d8a07ef338c754a0a2e3b2624aac694cc9 | [
"Apache-2.0"
] | 53 | 2018-06-01T13:16:15.000Z | 2022-02-23T21:04:28.000Z | contrib/script/py/pybase/pyopmo.py | michaelweiss092/LillyMol | a2b7d1d8a07ef338c754a0a2e3b2624aac694cc9 | [
"Apache-2.0"
] | 19 | 2018-08-14T13:43:18.000Z | 2021-09-24T12:53:11.000Z | contrib/script/py/pybase/pyopmo.py | michaelweiss092/LillyMol | a2b7d1d8a07ef338c754a0a2e3b2624aac694cc9 | [
"Apache-2.0"
] | 19 | 2018-10-23T19:41:01.000Z | 2022-02-17T08:14:00.000Z | """
Contains Python "bindings" to molecule object and Python functions
utilizing molecule object key functionalities
The intent is to provide a Pythonic interface to mo utilities and, thus,
enable easy/consistent use of mo from within python programs.
Testing:
$ python <path-to-location>/pymo.py
"""
import os
import ... | 37.844828 | 177 | 0.589391 | """
Contains Python "bindings" to molecule object and Python functions
utilizing molecule object key functionalities
The intent is to provide a Pythonic interface to mo utilities and, thus,
enable easy/consistent use of mo from within python programs.
Testing:
$ python <path-to-location>/pymo.py
"""
import os
import ... | 0 | 0 | 0 | 5,309 | 0 | 2,729 | 0 | 19 | 93 |
0154cd266d10abdb84725065fd8a7273dbc5e6fd | 5,068 | py | Python | tests/component/records/pandas/test_prep_for_csv.py | ellyteitsworth/records-mover | 21cd56efc2d23cfff04ec1fdf582e5229546c418 | [
"Apache-2.0"
] | null | null | null | tests/component/records/pandas/test_prep_for_csv.py | ellyteitsworth/records-mover | 21cd56efc2d23cfff04ec1fdf582e5229546c418 | [
"Apache-2.0"
] | null | null | null | tests/component/records/pandas/test_prep_for_csv.py | ellyteitsworth/records-mover | 21cd56efc2d23cfff04ec1fdf582e5229546c418 | [
"Apache-2.0"
] | null | null | null | # import pytz
| 41.203252 | 88 | 0.474743 | import pandas as pd
# import pytz
import unittest
from records_mover.records.pandas import prep_df_for_csv_output
from records_mover.records.schema import RecordsSchema
from records_mover.records import DelimitedRecordsFormat, ProcessingInstructions
class TestPrepForCsv(unittest.TestCase):
def test_prep_df_for_cs... | 0 | 0 | 0 | 4,794 | 0 | 0 | 0 | 126 | 133 |
22da4ef049b9e8ecbc5351dab4a7e240d8f2b253 | 7,087 | py | Python | pilanimate/__init__.py | jetstream0/PilAnimate | 077eaec0bfc5119c64f08d7ad21e3451b1c39d29 | [
"MIT"
] | null | null | null | pilanimate/__init__.py | jetstream0/PilAnimate | 077eaec0bfc5119c64f08d7ad21e3451b1c39d29 | [
"MIT"
] | null | null | null | pilanimate/__init__.py | jetstream0/PilAnimate | 077eaec0bfc5119c64f08d7ad21e3451b1c39d29 | [
"MIT"
] | null | null | null | #pilaniamte version 0.4.1 | 40.039548 | 248 | 0.686609 | #pilaniamte version 0.4.1
from PIL import Image, ImageDraw, ImageOps, ImageFilter, ImageEnhance, ImageColor, ImageFont, ImageSequence
import cv2
import numpy
from time import sleep
import os, math
class Animation:
def __init__(self, layer_num, size=(1600,900), fps=25, mode="RGBA", color=0):
self.layers = []
... | 0 | 0 | 0 | 6,845 | 0 | 0 | 0 | 61 | 156 |
830c2187d7207e6add4a2133b9f662799d8fb3a2 | 5,938 | py | Python | examples/alternatives_comparision.py | fossabot/IneqPy | f9329d465a922fcacdefd14858350ee40bc5b803 | [
"MIT"
] | 21 | 2018-06-22T07:56:40.000Z | 2022-03-13T12:28:10.000Z | examples/alternatives_comparision.py | fossabot/IneqPy | f9329d465a922fcacdefd14858350ee40bc5b803 | [
"MIT"
] | 29 | 2017-08-11T20:07:42.000Z | 2022-02-21T18:43:28.000Z | examples/alternatives_comparision.py | fossabot/IneqPy | f9329d465a922fcacdefd14858350ee40bc5b803 | [
"MIT"
] | 12 | 2017-05-21T15:30:48.000Z | 2022-03-02T14:40:24.000Z | import numpy as np
from pygsl import statistics as gsl_stat
from scipy import stats as sp_stat
import ineqpy as ineq
from ineqpy import _statistics as ineq_stat
# Generate random data
x, w = ineq.utils.generate_data_to_test((60,90))
# Replicating weights
x_rep, w_rep = ineq.utils.repeat_data_from_weighted(x, w)
svy =... | 24.436214 | 77 | 0.625126 | import numpy as np
from pygsl import statistics as gsl_stat
from scipy import stats as sp_stat
import ineqpy as ineq
from ineqpy import _statistics as ineq_stat
# Generate random data
x, w = ineq.utils.generate_data_to_test((60,90))
# Replicating weights
x_rep, w_rep = ineq.utils.repeat_data_from_weighted(x, w)
svy =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1189a746cd75b8a97b4ddd9fc9c698a877b7186a | 1,681 | py | Python | artbot_scraper/spiders/mayspace_spider.py | coreymcdermott/artbot | 848e85d0be0c58b7803d4bd1631a0cef63abb72d | [
"MIT"
] | 3 | 2016-03-04T02:53:05.000Z | 2021-12-02T20:50:11.000Z | artbot_scraper/spiders/mayspace_spider.py | coreymcdermott/artbot | 848e85d0be0c58b7803d4bd1631a0cef63abb72d | [
"MIT"
] | 14 | 2020-02-11T21:53:12.000Z | 2022-03-11T23:16:12.000Z | artbot_scraper/spiders/mayspace_spider.py | coreymcdermott/artbot | 848e85d0be0c58b7803d4bd1631a0cef63abb72d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 45.432432 | 138 | 0.581202 | # -*- coding: utf-8 -*-
import re
from scrapy import Spider, Request
from dateutil import parser
from artbot_scraper.items import EventItem
from pytz import timezone
class MaySpaceSpider(Spider):
name = 'May Space'
allowed_domains = ['mayspace.com.au']
... | 0 | 0 | 0 | 1,449 | 0 | 0 | 0 | 74 | 133 |
f4bf371008fb34e1b4a5fc3741ba4dc3f841a88a | 771 | py | Python | FortressOfSolitude/_FortressOfSolitude/superhero/forms.py | BDD16/FortressOfSolitude | 51070d3ffa78262d823ae8ccce4f8ae3c7ed83ac | [
"MIT"
] | null | null | null | FortressOfSolitude/_FortressOfSolitude/superhero/forms.py | BDD16/FortressOfSolitude | 51070d3ffa78262d823ae8ccce4f8ae3c7ed83ac | [
"MIT"
] | 6 | 2021-07-26T14:07:30.000Z | 2022-01-09T01:06:40.000Z | FortressOfSolitude/_FortressOfSolitude/superhero/forms.py | BDD16/FortressOfSolitude | 51070d3ffa78262d823ae8ccce4f8ae3c7ed83ac | [
"MIT"
] | null | null | null | """
DBA 1337_TECH, AUSTIN TEXAS MAY 2021
Proof of Concept code, No liabilities or warranties expressed or implied.
"""
| 24.09375 | 73 | 0.635538 | """
DBA 1337_TECH, AUSTIN TEXAS © MAY 2021
Proof of Concept code, No liabilities or warranties expressed or implied.
"""
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.urls import reverse
from .models import User
class RegisterForm(UserCreationForm):
email = forms.Ch... | 2 | 0 | 0 | 487 | 0 | 0 | 0 | 49 | 113 |
e8cf5a3c936963ef6dc97da97610e804ef344d5d | 3,044 | py | Python | src/main.py | loovien/meida-downloader | c69748081fad236f2de065c5ada37b08fb93cc4c | [
"MIT"
] | 1 | 2021-05-30T04:16:02.000Z | 2021-05-30T04:16:02.000Z | src/main.py | loovien/meida-downloader | c69748081fad236f2de065c5ada37b08fb93cc4c | [
"MIT"
] | 1 | 2020-10-12T08:26:04.000Z | 2020-10-12T08:26:04.000Z | src/main.py | loovien/mediaxz | c69748081fad236f2de065c5ada37b08fb93cc4c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# website: https://loovien.github.io
# author: luowen<bigpao.luo@gmail.com>
# time: 2018/9/29 21:41
# desc:
import logging
logger = logging.getLogger(__name__)
if __name__ == '__main__':
launch()
| 33.822222 | 105 | 0.685611 | # -*- coding: utf-8 -*-
# website: https://loovien.github.io
# author: luowen<bigpao.luo@gmail.com>
# time: 2018/9/29 21:41
# desc:
from src.tools.video_builder import VideoBuilder
import traceback
import click
import logging
from src.crawl import CrawlFactory
from src.logs import config_logging
from src.pub.bilib imp... | 12 | 2,349 | 0 | 0 | 0 | 63 | 0 | 80 | 315 |
e7a6afa2dd36970c65af2f61db86c15f038b1926 | 3,411 | py | Python | shop/views.py | knkemree/django_ecommerce_website | 19876976bc872cf4835778d12d82756c573cf3b9 | [
"bzip2-1.0.6"
] | null | null | null | shop/views.py | knkemree/django_ecommerce_website | 19876976bc872cf4835778d12d82756c573cf3b9 | [
"bzip2-1.0.6"
] | 8 | 2020-06-06T01:22:59.000Z | 2022-01-13T02:14:24.000Z | shop/views.py | knkemree/django_ecommerce_website | 19876976bc872cf4835778d12d82756c573cf3b9 | [
"bzip2-1.0.6"
] | null | null | null | from django.shortcuts import render
# Create your views here.
| 33.441176 | 124 | 0.64204 | from django.contrib import messages
from django.shortcuts import render
from django.shortcuts import render, get_object_or_404
from django.db.models import Q
from home.models import Comment
from .models import Category, Product, ProductImage
from cart.forms import CartAddProductForm
from django.views.generic import Lis... | 0 | 0 | 0 | 637 | 0 | 2,181 | 0 | 170 | 356 |
27803b4ad91fcc3857fc8747877f3ed4b0d80420 | 95 | py | Python | src/test/treadmill/test_turtle.py | chrisspen/homebot | cd1a5a2bddcb90d50a00e67b94297942827fbc61 | [
"MIT"
] | 8 | 2017-11-19T01:42:59.000Z | 2021-02-08T09:18:58.000Z | src/test/treadmill/test_turtle.py | chrisspen/homebot | cd1a5a2bddcb90d50a00e67b94297942827fbc61 | [
"MIT"
] | 24 | 2017-02-14T16:50:02.000Z | 2017-06-07T18:38:20.000Z | src/test/treadmill/test_turtle.py | chrisspen/homebot | cd1a5a2bddcb90d50a00e67b94297942827fbc61 | [
"MIT"
] | 6 | 2017-05-17T03:07:05.000Z | 2019-11-14T09:33:06.000Z | #!/usr/bin/env python
import turtle
turtle.pen(fillcolor="black", pencolor="red", pensize=10)
| 19 | 57 | 0.736842 | #!/usr/bin/env python
import turtle
turtle.pen(fillcolor="black", pencolor="red", pensize=10)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7d64d8829369775635a1ff730b531c30b755a45f | 653 | py | Python | 1_Python/Desafios/062_PAv3.py | guilhermebaos/Curso-em-Video-Python | 0e67f6f59fa3216889bd2dde4a26b532c7c545fd | [
"MIT"
] | null | null | null | 1_Python/Desafios/062_PAv3.py | guilhermebaos/Curso-em-Video-Python | 0e67f6f59fa3216889bd2dde4a26b532c7c545fd | [
"MIT"
] | null | null | null | 1_Python/Desafios/062_PAv3.py | guilhermebaos/Curso-em-Video-Python | 0e67f6f59fa3216889bd2dde4a26b532c7c545fd | [
"MIT"
] | null | null | null | from termcolor import cprint, colored
ni = float(input(colored('Primeiro termo da progresso aritmtica: ', 'blue')))
pa = float(input(colored('Razo da progresso aritmtica: ', 'blue')))
c = 0
p = 10
lp = []
lc = []
np = ni
while c < p:
while c < p:
lp += [str(np)]
ne = len(str(np))
np += pa
... | 28.391304 | 79 | 0.517611 | from termcolor import cprint, colored
ni = float(input(colored('Primeiro termo da progressão aritmética: ', 'blue')))
pa = float(input(colored('Razão da progressão aritmética: ', 'blue')))
c = 0
p = 10
lp = []
lc = []
np = ni
while c < p:
while c < p:
lp += [str(np)]
ne = len(str(np))
np += ... | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
be22c1f97af81b9669c5b83a9ecd5bbdc4c94364 | 2,723 | py | Python | django/contrib/sessions/backends/cached_db.py | webjunkie/django | 5dbca13f3baa2e1bafd77e84a80ad6d8a074712e | [
"BSD-3-Clause"
] | 285 | 2019-12-23T09:50:21.000Z | 2021-12-08T09:08:49.000Z | django/contrib/sessions/backends/cached_db.py | webjunkie/django | 5dbca13f3baa2e1bafd77e84a80ad6d8a074712e | [
"BSD-3-Clause"
] | 18 | 2015-01-14T07:51:48.000Z | 2021-10-14T01:19:26.000Z | django/contrib/sessions/backends/cached_db.py | webjunkie/django | 5dbca13f3baa2e1bafd77e84a80ad6d8a074712e | [
"BSD-3-Clause"
] | 70 | 2015-01-01T00:33:24.000Z | 2021-12-10T03:43:07.000Z | """
Cached, database-backed sessions.
"""
KEY_PREFIX = "django.contrib.sessions.cached_db"
# At bottom to avoid circular import
| 32.035294 | 78 | 0.61513 | """
Cached, database-backed sessions.
"""
import logging
from django.contrib.sessions.backends.db import SessionStore as DBStore
from django.core.cache import cache
from django.core.exceptions import SuspiciousOperation
from django.utils import timezone
from django.utils.encoding import force_text
KEY_PREFIX = "djan... | 0 | 75 | 0 | 2,183 | 0 | 0 | 0 | 154 | 179 |
f81b9afe3d8b8d75a53275d7b14f783c96f2208d | 7,968 | py | Python | kbr/azure_utils.py | brugger/kbr-azure-utils | 92257cef75b035eaac90de958d206dc199ca9ebc | [
"MIT"
] | null | null | null | kbr/azure_utils.py | brugger/kbr-azure-utils | 92257cef75b035eaac90de958d206dc199ca9ebc | [
"MIT"
] | null | null | null | kbr/azure_utils.py | brugger/kbr-azure-utils | 92257cef75b035eaac90de958d206dc199ca9ebc | [
"MIT"
] | null | null | null |
import kbr.log_utils as logger
from munch import munchify
connection = munchify({})
def server_stop(id: str, compute_group:str, **kwargs): # done, needs testing
""" stops a server """
connection.compute_client.virtual_machines.power_off(compute_group, id).result()
logger.debug("Stopped server ... | 35.891892 | 197 | 0.591114 | from azure.identity import AzureCliCredential
from azure.mgmt.resource import ResourceManagementClient
from azure.mgmt.network import NetworkManagementClient
from azure.mgmt.compute import ComputeManagementClient
from azure.mgmt.storage import StorageManagementClient
from azure.common.credentials import ServicePrincipa... | 0 | 0 | 0 | 0 | 0 | 6,974 | 0 | 264 | 385 |
4a9a1be887c7457284810624885cb4c658d4c5b1 | 626 | py | Python | scripts/dset64Test.py | tijyojwad/shasta | dffb41279bbc606d06f5323add40c0b1ebd5ae65 | [
"BSD-3-Clause"
] | 267 | 2018-07-31T16:12:24.000Z | 2022-03-29T13:57:53.000Z | scripts/dset64Test.py | tijyojwad/shasta | dffb41279bbc606d06f5323add40c0b1ebd5ae65 | [
"BSD-3-Clause"
] | 140 | 2018-08-10T14:14:19.000Z | 2022-02-18T22:05:05.000Z | scripts/dset64Test.py | tijyojwad/shasta | dffb41279bbc606d06f5323add40c0b1ebd5ae65 | [
"BSD-3-Clause"
] | 47 | 2018-09-28T18:29:37.000Z | 2022-02-21T02:45:40.000Z | #!/usr/bin/python3
helpMessage = """
This runs a unit test for dset64/dset64-gccAtomic.hpp.
Invoke with 5 arguments:
- The number of items (vertices).
- The number of union operations (edges).
- The number of threads.
- The number of union operations per batch.
- The random seed.
"""
import shasta
import sys
if no... | 17.388889 | 54 | 0.662939 | #!/usr/bin/python3
helpMessage = """
This runs a unit test for dset64/dset64-gccAtomic.hpp.
Invoke with 5 arguments:
- The number of items (vertices).
- The number of union operations (edges).
- The number of threads.
- The number of union operations per batch.
- The random seed.
"""
import shasta
import sys
if no... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
85bd3903c23b1449d55e1f1be2c9dacc1531e0c8 | 698 | py | Python | math_lib/combinatorics.py | vesteny77/proj_euler | d12d6c6a6e6c717b5ab9d0415005945d983eea53 | [
"MIT"
] | 1 | 2021-12-27T22:18:51.000Z | 2021-12-27T22:18:51.000Z | math_lib/combinatorics.py | vesteny77/proj_euler | d12d6c6a6e6c717b5ab9d0415005945d983eea53 | [
"MIT"
] | null | null | null | math_lib/combinatorics.py | vesteny77/proj_euler | d12d6c6a6e6c717b5ab9d0415005945d983eea53 | [
"MIT"
] | null | null | null | import math
import doctest
def pick(n, k):
"""
Return the number of ways to select k objects from n objects with order
:param n: int
:param k: int
:return: int
>>> pick(1, 0)
1
>>> pick(1, 2)
0
>>> pick(5, 2)
20
"""
return math.factorial(n) // math.factorial(n - k) ... | 17.897436 | 78 | 0.540115 | import math
import doctest
def pick(n, k):
"""
Return the number of ways to select k objects from n objects with order
:param n: int
:param k: int
:return: int
>>> pick(1, 0)
1
>>> pick(1, 2)
0
>>> pick(5, 2)
20
"""
return math.factorial(n) // math.factorial(n - k) ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e0bf1326727788764078f2927151ee1302c33c40 | 1,129 | py | Python | sms/utils/datetimes.py | NovelLab/sms | b9df8d22d8a5bd555a4c7f5bf9cdd0084f156ae9 | [
"MIT"
] | null | null | null | sms/utils/datetimes.py | NovelLab/sms | b9df8d22d8a5bd555a4c7f5bf9cdd0084f156ae9 | [
"MIT"
] | null | null | null | sms/utils/datetimes.py | NovelLab/sms | b9df8d22d8a5bd555a4c7f5bf9cdd0084f156ae9 | [
"MIT"
] | null | null | null | """Utility module for date and time controls."""
# Official Libraries
from typing import Union
# Thirdparty Libraries
# My Modules
__all__ = (
'after_day_str_from',
'next_day_str_from',
'next_month_str_from',
)
# Define Constants
INT_STR = Union[int, str]
# Main Functions
| 24.021277 | 74 | 0.692648 | """Utility module for date and time controls."""
# Official Libraries
import datetime
from typing import Union
# Thirdparty Libraries
from dateutil.relativedelta import relativedelta
# My Modules
__all__ = (
'after_day_str_from',
'next_day_str_from',
'next_month_str_from',
)
# D... | 0 | 0 | 0 | 0 | 0 | 678 | 0 | 21 | 112 |