max_stars_repo_path stringlengths 4 286 | max_stars_repo_name stringlengths 5 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.03M | content_cleaned stringlengths 6 1.03M | language stringclasses 111
values | language_score float64 0.03 1 | comments stringlengths 0 556k | edu_score float64 0.32 5.03 | edu_int_score int64 0 5 |
|---|---|---|---|---|---|---|---|---|---|---|
src/Tools/FigureOfMerit/FigureOfMerit/BlockCiphers/Scenario2/Constants.py | GaloisInc/hacrypto | 34 | 6621451 | #
# University of Luxembourg
# Laboratory of Algorithmics, Cryptology and Security (LACS)
#
# FigureOfMerit (FOM)
#
# Copyright (C) 2015 University of Luxembourg
#
# Written in 2015 by <NAME> <<EMAIL>>
#
# This file is part of FigureOfMerit.
#
# This program is free software: you can redistribute it and/or modify
# it ... | #
# University of Luxembourg
# Laboratory of Algorithmics, Cryptology and Security (LACS)
#
# FigureOfMerit (FOM)
#
# Copyright (C) 2015 University of Luxembourg
#
# Written in 2015 by <NAME> <<EMAIL>>
#
# This file is part of FigureOfMerit.
#
# This program is free software: you can redistribute it and/or modify
# it ... | en | 0.756042 | # # University of Luxembourg # Laboratory of Algorithmics, Cryptology and Security (LACS) # # FigureOfMerit (FOM) # # Copyright (C) 2015 University of Luxembourg # # Written in 2015 by <NAME> <<EMAIL>> # # This file is part of FigureOfMerit. # # This program is free software: you can redistribute it and/or modify # it ... | 1.668509 | 2 |
src/settings/workspace.py | struts2spring/sql-editor | 9 | 6621452 | '''
Created on Feb 26, 2019
@author: xbbntni
'''
import json
from datetime import date
from src.sqlite_executer.ConnectExecuteSqlite import SQLExecuter
import os
class Project():
def __init__(self, basePath=None, projectDirName=None, projectName=None, natures=list()):
self.basePath = basePath
se... | '''
Created on Feb 26, 2019
@author: xbbntni
'''
import json
from datetime import date
from src.sqlite_executer.ConnectExecuteSqlite import SQLExecuter
import os
class Project():
def __init__(self, basePath=None, projectDirName=None, projectName=None, natures=list()):
self.basePath = basePath
se... | en | 0.526662 | Created on Feb 26, 2019 @author: xbbntni # self.projectPath = os.path.join(basePath, projectDirName) # directory path in system # java, javascript, python # self.createdOn = createdOn # def serialize(obj): # """JSON serializer for objects not serializable by default json code""" # # if isinsta... | 2.535485 | 3 |
project/GroundFloor.py | louay-rouabeh/Energy-Management-Live-Dashboard | 0 | 6621453 | import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
from dash.dependencies import Output, Input
from app import app
from dash_extensions import Download
from dash_extensions.snippets import send_data_frame
ground = pd.read_excel("consumption.xlsx", "Sheet1")
content0 = html.Div(... | import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
from dash.dependencies import Output, Input
from app import app
from dash_extensions import Download
from dash_extensions.snippets import send_data_frame
ground = pd.read_excel("consumption.xlsx", "Sheet1")
content0 = html.Div(... | none | 1 | 2.758678 | 3 | |
test/py_orchestrator/test_stage.py | abhinav-kumar-thakur/orchestrator | 0 | 6621454 | from py_orchestrator.stage import Stage
class Adder(Stage):
def perform(self, state):
return self.configs['a'] + self.configs['b']
class TestStage:
def test_run(self):
configs = {'a': 1, 'b': 2}
assert Adder(configs).perform(None) == 3
| from py_orchestrator.stage import Stage
class Adder(Stage):
def perform(self, state):
return self.configs['a'] + self.configs['b']
class TestStage:
def test_run(self):
configs = {'a': 1, 'b': 2}
assert Adder(configs).perform(None) == 3
| none | 1 | 2.715396 | 3 | |
app.py | Healthedata1/pubsub-endpoint | 0 | 6621455 | <reponame>Healthedata1/pubsub-endpoint<filename>app.py
# A very simple Flask app to get started with using
# FHIR Subscriptions
# This is a reciever for the FHIR R4 Server URL (https://subscriptions.argo.run/)
# with an ednpoint = "http://healthedatainc2.pythonanywhere.com/webhook"
# It just saves the subscription noti... | # A very simple Flask app to get started with using
# FHIR Subscriptions
# This is a reciever for the FHIR R4 Server URL (https://subscriptions.argo.run/)
# with an ednpoint = "http://healthedatainc2.pythonanywhere.com/webhook"
# It just saves the subscription notification data to a flat csv file "data.csv"
# to initi... | en | 0.529515 | # A very simple Flask app to get started with using # FHIR Subscriptions # This is a reciever for the FHIR R4 Server URL (https://subscriptions.argo.run/) # with an ednpoint = "http://healthedatainc2.pythonanywhere.com/webhook" # It just saves the subscription notification data to a flat csv file "data.csv" # to initi... | 2.498161 | 2 |
example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Orthogonal polynomials/laguerre Coefficients of the $n$th order Laguerre polynoimal, $L_n(x)$.py | kuanpern/jupyterlab-snippets-multimenus | 0 | 6621456 | special.laguerre(n[, monic]) | special.laguerre(n[, monic]) | none | 1 | 1.134404 | 1 | |
website/drawquest/management/commands/initialize_qotd.py | bopopescu/drawquest-web | 19 | 6621457 | import datetime
from django.core.management.base import BaseCommand
from canvas.notifications.actions import Actions
from drawquest import knobs, economy
from drawquest.apps.quests.models import Quest, ScheduledQuest
class Command(BaseCommand):
args = ''
help = ''
def handle(self, *args, **options):
... | import datetime
from django.core.management.base import BaseCommand
from canvas.notifications.actions import Actions
from drawquest import knobs, economy
from drawquest.apps.quests.models import Quest, ScheduledQuest
class Command(BaseCommand):
args = ''
help = ''
def handle(self, *args, **options):
... | none | 1 | 2.241616 | 2 | |
idgraph/__init__.py | jbn/idgraph | 2 | 6621458 | <reponame>jbn/idgraph
# -*- coding: utf-8 -*-
import argparse
import json
import os
import requests
import shlex
import sys
from IPython.display import Markdown
JINJA2_ENABLED = True
try:
import jinja2
except ImportError: # pragma: no cover
JINJA2_ENABLED = False
JMESPATH_ENABLED = True
try:
import jme... | # -*- coding: utf-8 -*-
import argparse
import json
import os
import requests
import shlex
import sys
from IPython.display import Markdown
JINJA2_ENABLED = True
try:
import jinja2
except ImportError: # pragma: no cover
JINJA2_ENABLED = False
JMESPATH_ENABLED = True
try:
import jmespath
except ImportErr... | en | 0.878098 | # -*- coding: utf-8 -*- # pragma: no cover # pragma: no cover <NAME> # The FileSystemLoader should operate in the current working directory. # By assumption, extended jinja templates aren't temporary files -- # the user wrote them by hand. They are part of code you would want in # your repository! # The final template ... | 2.334485 | 2 |
tests/test_charm.py | xavpaice/lma-proxy-operator | 0 | 6621459 | # Copyright 2021 Canonical
# See LICENSE file for licensing details.
#
# Learn more about testing at: https://juju.is/docs/sdk/testing
import unittest
from charm import LMAProxyCharm
from ops.model import ActiveStatus, BlockedStatus
from ops.testing import Harness
class LMAProxyCharmTest(unittest.TestCase):
def... | # Copyright 2021 Canonical
# See LICENSE file for licensing details.
#
# Learn more about testing at: https://juju.is/docs/sdk/testing
import unittest
from charm import LMAProxyCharm
from ops.model import ActiveStatus, BlockedStatus
from ops.testing import Harness
class LMAProxyCharmTest(unittest.TestCase):
def... | en | 0.628941 | # Copyright 2021 Canonical # See LICENSE file for licensing details. # # Learn more about testing at: https://juju.is/docs/sdk/testing | 1.937857 | 2 |
src/robotec_sensor_processing/devices/daily_bms.py | robotec-ua/robotec_sensor_processing | 0 | 6621460 | <filename>src/robotec_sensor_processing/devices/daily_bms.py<gh_stars>0
# -*- coding: utf-8 -*-
""" Class DailyBMS
The class is dedicated to provide a functionality of Daily BMS
(Battery Management System) to control battery status.
"""
from .bms import GenericBMS
class DailyBMS(GenericBMS):
"""
Constructo... | <filename>src/robotec_sensor_processing/devices/daily_bms.py<gh_stars>0
# -*- coding: utf-8 -*-
""" Class DailyBMS
The class is dedicated to provide a functionality of Daily BMS
(Battery Management System) to control battery status.
"""
from .bms import GenericBMS
class DailyBMS(GenericBMS):
"""
Constructo... | en | 0.833888 | # -*- coding: utf-8 -*- Class DailyBMS The class is dedicated to provide a functionality of Daily BMS (Battery Management System) to control battery status. Constructor. Delegates the parameters to the superclass. Calculating the overall value of voltage. The method opens the serial port, reads and verifies data ... | 3.257563 | 3 |
Codewars/8kyu/fix-the-bugs-syntax-my-first-kata/Python/solution1.py | RevansChen/online-judge | 7 | 6621461 | <reponame>RevansChen/online-judge
# Python - 2.7.6
def my_first_kata(a, b):
if (type(a) != int) or (type(b) != int):
return False
else:
return a % b + b % a
| # Python - 2.7.6
def my_first_kata(a, b):
if (type(a) != int) or (type(b) != int):
return False
else:
return a % b + b % a | en | 0.123735 | # Python - 2.7.6 | 3.501208 | 4 |
test/test_dada_fildb.py | loostrum/psrdada_filterbankdb | 0 | 6621462 | <filename>test/test_dada_fildb.py
import os
import unittest
import time
import multiprocessing as mp
import numpy as np
from psrdada import Reader, Writer
from dada_fildb import dada_fildb
from dada_fildb.sigproc import SigprocFile
class TestDadaFildb(unittest.TestCase):
def setUp(self):
"""
Se... | <filename>test/test_dada_fildb.py
import os
import unittest
import time
import multiprocessing as mp
import numpy as np
from psrdada import Reader, Writer
from dada_fildb import dada_fildb
from dada_fildb.sigproc import SigprocFile
class TestDadaFildb(unittest.TestCase):
def setUp(self):
"""
Se... | en | 0.74257 | Set configuration, create filterbank files Create a test filterbank file :return: path to file, pointer to file # add some data # data is increasing values in time and freq in each page, multiplied by page and beam index (1-based) Create a PSRDADA ringbuffer :return: Remove any remaining buffers and fil... | 2.365953 | 2 |
nova3/engines/skytorrents.py | chr0nu5/qBittorrent-Plugins-Easy-Install | 0 | 6621463 | # -*- coding: utf-8 -*-
#VERSION: 2.0
#AUTHORS: <NAME> (<EMAIL>)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#... | # -*- coding: utf-8 -*-
#VERSION: 2.0
#AUTHORS: <NAME> (<EMAIL>)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#... | en | 0.81361 | # -*- coding: utf-8 -*- #VERSION: 2.0 #AUTHORS: <NAME> (<EMAIL>) # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. #... | 2.597398 | 3 |
__init__.py | stobinaator/virtual-assistant | 0 | 6621464 | # -*- coding: utf-8 -*-
from __future__ import print_function
import requests
import json
import datetime
import pickle
import os.path
import webbrowser
import random
import wikipedia
import time
import os
from time import ctime
from configparser import ConfigParser
import speech_recognition as sr
from gtts import gT... | # -*- coding: utf-8 -*-
from __future__ import print_function
import requests
import json
import datetime
import pickle
import os.path
import webbrowser
import random
import wikipedia
import time
import os
from time import ctime
from configparser import ConfigParser
import speech_recognition as sr
from gtts import gT... | en | 0.799388 | # -*- coding: utf-8 -*- #Read config.ini file # accessing information from config.ini Shows basic usage of the Google Calendar API. Prints the start and name of the next 10 events on the user's calendar. # The file token.pickle stores the user's access and refresh tokens, and is # created automatically when the aut... | 3.073953 | 3 |
whatismyip.py | MaxBrady/whatismyip | 0 | 6621465 | #!/usr/bin/python3
import os
ip = os.getenv('REMOTE_ADDR')
site_title = "Max's Test Site"
print('Content-Type: text/html\n\n')
print('')
# Print Header
print('<html>')
print('<head>')
print('<title>%s</title>' % site_title)
print('</head>')
print('<body>')
print("<b>Max's IP Page</b>")
print('My ip adress is %s... | #!/usr/bin/python3
import os
ip = os.getenv('REMOTE_ADDR')
site_title = "Max's Test Site"
print('Content-Type: text/html\n\n')
print('')
# Print Header
print('<html>')
print('<head>')
print('<title>%s</title>' % site_title)
print('</head>')
print('<body>')
print("<b>Max's IP Page</b>")
print('My ip adress is %s... | fr | 0.163132 | #!/usr/bin/python3 # Print Header | 2.411081 | 2 |
code/chapter_04/listing_04_10.py | guinslym/python_earth_science_book | 80 | 6621466 | import pandas as pd
import matplotlib.pyplot as plt
my_dataset = pd.read_excel(
'Smith_glass_post_NYT_data.xlsx', sheet_name='Supp_traces')
my_dataset1 = my_dataset[my_dataset.Epoch == 'one']
my_dataset2 = my_dataset[my_dataset.Epoch == 'two']
fig = plt.figure()
ax1 = fig.add_subplot(2, 1, 1)
ax1.scatter(my_data... | import pandas as pd
import matplotlib.pyplot as plt
my_dataset = pd.read_excel(
'Smith_glass_post_NYT_data.xlsx', sheet_name='Supp_traces')
my_dataset1 = my_dataset[my_dataset.Epoch == 'one']
my_dataset2 = my_dataset[my_dataset.Epoch == 'two']
fig = plt.figure()
ax1 = fig.add_subplot(2, 1, 1)
ax1.scatter(my_data... | none | 1 | 2.859349 | 3 | |
webRoot/patric/static/generateSitemapIndex.py | PATRIC3/patric3_website | 6 | 6621467 | <gh_stars>1-10
#!/usr/bin/python
import os
import sys
import datetime
# setting default encoding to utf-8
reload(sys)
sys.setdefaultencoding("UTF-8")
outfile = open("sitemapindex.xml", "wb")
print >>outfile, """<?xml version="1.0" encoding="UTF-8"?>
<sitemapindex xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">"... | #!/usr/bin/python
import os
import sys
import datetime
# setting default encoding to utf-8
reload(sys)
sys.setdefaultencoding("UTF-8")
outfile = open("sitemapindex.xml", "wb")
print >>outfile, """<?xml version="1.0" encoding="UTF-8"?>
<sitemapindex xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">"""
# read dire... | en | 0.181248 | #!/usr/bin/python # setting default encoding to utf-8 <?xml version="1.0" encoding="UTF-8"?> <sitemapindex xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> # read directory listing <sitemap> <loc>http://patricbrc.org/patric/static/sitemaps/%s</loc> <lastmod>%s</lastmod> </sitemap> | 2.538384 | 3 |
profiles_api/permissions.py | Chau-Ngoc/profiles_project_api | 0 | 6621468 | from rest_framework.permissions import BasePermission, SAFE_METHODS
class ProfileUpdatePermission(BasePermission):
"""Allow user to only update their own profile."""
def has_object_permission(self, request, view, obj) -> bool:
"""Check if user is trying to update their own profile."""
if requ... | from rest_framework.permissions import BasePermission, SAFE_METHODS
class ProfileUpdatePermission(BasePermission):
"""Allow user to only update their own profile."""
def has_object_permission(self, request, view, obj) -> bool:
"""Check if user is trying to update their own profile."""
if requ... | en | 0.962413 | Allow user to only update their own profile. Check if user is trying to update their own profile. Allow users to only update their own status feeds. | 2.768073 | 3 |
faimed3d/models/unet.py | KRoszyk/faimed3d | 22 | 6621469 | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/06d_models.unet.ipynb (unless otherwise specified).
__all__ = ['ConvTranspose3D', 'UnetBlock3D', 'ResizeToOrig', 'DynamicUnet3D']
# Cell
# export
from fastai.basics import *
from ..basics import *
from fastai.vision.all import create_body, hook_outputs
from torchvision.... | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/06d_models.unet.ipynb (unless otherwise specified).
__all__ = ['ConvTranspose3D', 'UnetBlock3D', 'ResizeToOrig', 'DynamicUnet3D']
# Cell
# export
from fastai.basics import *
from ..basics import *
from fastai.vision.all import create_body, hook_outputs
from torchvision.... | en | 0.429098 | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/06d_models.unet.ipynb (unless otherwise specified). # Cell # export # Cell # Cell # layers[0].weight.data.copy_(icnr_init(layers[0].weight.data)) # Cell # Cell # Cell #apply_init(nn.Sequential(layers[2]), init) | 1.809362 | 2 |
src/ntopng_constants.py | samuelesabella/Detecting-network-anomalies-using-the-feature-space-latent-representation | 1 | 6621470 | <reponame>samuelesabella/Detecting-network-anomalies-using-the-feature-space-latent-representation
import numpy as np
import logging
import copy
from collections import defaultdict
# ----- ----- NDPI ----- ----- #
# ----- ----- ---- ----- ----- #
NDPI_DEFAULTS = {
"unknown": "unspecified",
"ftp_... | import numpy as np
import logging
import copy
from collections import defaultdict
# ----- ----- NDPI ----- ----- #
# ----- ----- ---- ----- ----- #
NDPI_DEFAULTS = {
"unknown": "unspecified",
"ftp_control": "download-filetransfer-filesharing",
"pop3": "email",
"s... | en | 0.40538 | # ----- ----- NDPI ----- ----- # # ----- ----- ---- ----- ----- # https://www.reddit.com/r/Python/comments/27crqg/making_defaultdict_create_defaults_that_are_a/ # base class doesn't get a factory # save f(x) # called when a default needed # calculate default value # and install it in the dict # ----- ----- FEATURES ---... | 1.716633 | 2 |
Bangu/Semana 5/Exemplo013/main.py | profoswaldo/Unisuam_2022-1 | 2 | 6621471 | # numero1 = 6
# numero2 = 10
# numero3 = 4
numeros = [6, 10, 4]
# print(numeros[0])
# print(numeros[1])
# print(numeros[2])
for i in range(3):
print(numeros[i])
| # numero1 = 6
# numero2 = 10
# numero3 = 4
numeros = [6, 10, 4]
# print(numeros[0])
# print(numeros[1])
# print(numeros[2])
for i in range(3):
print(numeros[i])
| it | 0.411001 | # numero1 = 6 # numero2 = 10 # numero3 = 4 # print(numeros[0]) # print(numeros[1]) # print(numeros[2]) | 3.899752 | 4 |
openff/cli/get_conformer_energies.py | openforcefield/openff-cli | 0 | 6621472 | <reponame>openforcefield/openff-cli<gh_stars>0
import argparse
from typing import List
from openforcefield.topology import Molecule
from openforcefield.utils.toolkits import ToolkitRegistry
from simtk import unit
from openff.cli.core import (
_build_simulation,
_get_conformer_data,
_get_forcefield,
_g... | import argparse
from typing import List
from openforcefield.topology import Molecule
from openforcefield.utils.toolkits import ToolkitRegistry
from simtk import unit
from openff.cli.core import (
_build_simulation,
_get_conformer_data,
_get_forcefield,
_get_rms_two_conformers,
_minimize_conformer,... | en | 0.892721 | # This is duplicated from generate_conformers | 2.39362 | 2 |
hello_genomics/main.py | chkra/calc_batch_correct | 0 | 6621473 | <filename>hello_genomics/main.py<gh_stars>0
#!/usr/bin/env python
# coding: utf-8
'''
Combat batch correction app for FASTGenomics
'''
import json
import pathlib
import random
import csv
import jinja2
import logging
import enum
import pandas as pd
import numpy as np
import matplotlib
matplotlib.use(... | <filename>hello_genomics/main.py<gh_stars>0
#!/usr/bin/env python
# coding: utf-8
'''
Combat batch correction app for FASTGenomics
'''
import json
import pathlib
import random
import csv
import jinja2
import logging
import enum
import pandas as pd
import numpy as np
import matplotlib
matplotlib.use(... | en | 0.602794 | #!/usr/bin/env python # coding: utf-8 Combat batch correction app for FASTGenomics # initialize logging # set paths to jinja2-templates for summary.md etc. # @todo: this is horrible on so many levels ... # BATCH = '_generated_batch*Text' # @todo: tidy up # genes_path = fg_io.get_input_path('genes_data_input') # combat ... | 2.174983 | 2 |
user.py | Emmanuel687/PassWord-Locker-App | 0 | 6621474 | class User:
"""
creates new user instances
"""
pass
user_array = []
def __init__(self,fullName,email,mobileNumber):
self.fullName = fullName
self.email = email
self.mobileNumber = mobileNumber
def saveUserDetails(self):
User.user_array.append(self)
@c... | class User:
"""
creates new user instances
"""
pass
user_array = []
def __init__(self,fullName,email,mobileNumber):
self.fullName = fullName
self.email = email
self.mobileNumber = mobileNumber
def saveUserDetails(self):
User.user_array.append(self)
@c... | en | 0.711728 | creates new user instances | 3.11604 | 3 |
pt/shared.py | fstraw/django-pt | 0 | 6621475 |
DEPARTMENTS = (
('Dept 1', 'Dept 1'),
('Dept 2', 'Dept 2'),
('Dept 3', 'Dept 3'),
('Dept 4', 'Dept 4'),
('Dept 5', 'Dept 5'),
)
EMPLOYEES = (
('Employee 1', 'Employee 1'),
('Employee 2', 'Employee 2'),
('Employee 3', 'Employee 3'),
('Employee 4', 'Employee 4'),
('Employee 5', 'Em... |
DEPARTMENTS = (
('Dept 1', 'Dept 1'),
('Dept 2', 'Dept 2'),
('Dept 3', 'Dept 3'),
('Dept 4', 'Dept 4'),
('Dept 5', 'Dept 5'),
)
EMPLOYEES = (
('Employee 1', 'Employee 1'),
('Employee 2', 'Employee 2'),
('Employee 3', 'Employee 3'),
('Employee 4', 'Employee 4'),
('Employee 5', 'Em... | none | 1 | 1.535332 | 2 | |
chat/utils.py | lorenzoconcas/CheChat | 0 | 6621476 | # contiene funzioni utili per le view e per il db
def json_element(dataora, contenuto, sent, mittente):
# trasforma i dati del messaggio in una linea json da spedire al client
return '{"time":"' + dataora.strftime("%Y-%m-%d %H:%M:%S") + '", "content":"' \
+ contenuto + '", "sent":"' + str(sent) + '... | # contiene funzioni utili per le view e per il db
def json_element(dataora, contenuto, sent, mittente):
# trasforma i dati del messaggio in una linea json da spedire al client
return '{"time":"' + dataora.strftime("%Y-%m-%d %H:%M:%S") + '", "content":"' \
+ contenuto + '", "sent":"' + str(sent) + '... | it | 0.970949 | # contiene funzioni utili per le view e per il db # trasforma i dati del messaggio in una linea json da spedire al client | 2.128399 | 2 |
linkedList/removeNthNodeFromEndOfList.py | G-MontaG/leetcode | 1 | 6621477 | <reponame>G-MontaG/leetcode
# https://leetcode.com/problems/remove-nth-node-from-end-of-list/
class Solution:
def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode:
fast = slow = head
for _ in range(n):
fast = fast.next
if not fast:
return head.next
w... | # https://leetcode.com/problems/remove-nth-node-from-end-of-list/
class Solution:
def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode:
fast = slow = head
for _ in range(n):
fast = fast.next
if not fast:
return head.next
while fast.next:
... | en | 0.625186 | # https://leetcode.com/problems/remove-nth-node-from-end-of-list/ | 3.55531 | 4 |
gh.py | mnzr/json-scraper | 0 | 6621478 | <reponame>mnzr/json-scraper<filename>gh.py
#!/usr/bin/env python
"""Script to get Github info using API"""
import requests
# Add any number of usernames here
users = ['google', 'facebook', 'apache']
url = "https://api.github.com/users/"
# Which JSON properties we want to catch
properties = ['login', 'id', 'html_url',... | #!/usr/bin/env python
"""Script to get Github info using API"""
import requests
# Add any number of usernames here
users = ['google', 'facebook', 'apache']
url = "https://api.github.com/users/"
# Which JSON properties we want to catch
properties = ['login', 'id', 'html_url', 'public_repos', 'created_at']
for user in... | en | 0.736748 | #!/usr/bin/env python Script to get Github info using API # Add any number of usernames here # Which JSON properties we want to catch # make API url with Github username # take response from the url # conversion to human readable format | 3.587639 | 4 |
crackers/MonoSubstitutionCracker.py | qpwoeirut/ClassicalCipherCracker | 1 | 6621479 | <filename>crackers/MonoSubstitutionCracker.py
import random
import string
from typing import Type
from ciphers.Cipher import Cipher
from ciphers.MonoSubstitutionCipher import MonoSubstitutionCipher
from crackers.ClimbingCracker import ClimbingCracker
from crackers.SubstitutionCracker import SubstitutionCracker
class... | <filename>crackers/MonoSubstitutionCracker.py
import random
import string
from typing import Type
from ciphers.Cipher import Cipher
from ciphers.MonoSubstitutionCipher import MonoSubstitutionCipher
from crackers.ClimbingCracker import ClimbingCracker
from crackers.SubstitutionCracker import SubstitutionCracker
class... | en | 0.888641 | # TODO maybe make keys lists or tuples instead? | 3.141931 | 3 |
tests/examples/bankfile_test.py | kalaspuff/stockholm | 15 | 6621480 | from typing import List
from stockholm import Money, get_currency
from stockholm.exceptions import CurrencyMismatchError
example_content = """
000000000000001 388461894717 OLDSCHOOLFINTECHSOLUTIONS004711000003
471846827769 9173689 9999000192000000272947 USD - 3336282671946
471846827769 557274901 1000824... | from typing import List
from stockholm import Money, get_currency
from stockholm.exceptions import CurrencyMismatchError
example_content = """
000000000000001 388461894717 OLDSCHOOLFINTECHSOLUTIONS004711000003
471846827769 9173689 9999000192000000272947 USD - 3336282671946
471846827769 557274901 1000824... | en | 0.182762 | 000000000000001 388461894717 OLDSCHOOLFINTECHSOLUTIONS004711000003 471846827769 9173689 9999000192000000272947 USD - 3336282671946 471846827769 557274901 1000824618000272944 USD 020000047284999 484761849926 4444205 37000116301000072944 USD - 3336282671947 990000000000001X00000399300001132919... | 3.141073 | 3 |
dqc/rule/basic/rows_count_mismatch_and_another.py | Indexical-Metrics-Measure-Advisory/watchmen-dqc | 1 | 6621481 | from pandas import DataFrame
from watchmen_boot.storage.model.data_source import DataSource
from dqc.model.analysis.monitor_rule import MonitorRule
from dqc.rule.utils.date_utils import get_date_range
from dqc.rule.utils.topic_utils import data_is_empty, table_not_exist, init_topic_rule_result
from dqc.sdk.admin.admin... | from pandas import DataFrame
from watchmen_boot.storage.model.data_source import DataSource
from dqc.model.analysis.monitor_rule import MonitorRule
from dqc.rule.utils.date_utils import get_date_range
from dqc.rule.utils.topic_utils import data_is_empty, table_not_exist, init_topic_rule_result
from dqc.sdk.admin.admin... | none | 1 | 2.281343 | 2 | |
install/core/python/tank/util/system_settings.py | JoanAzpeitia/lp_sg | 0 | 6621482 | # Copyright (c) 2017 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | # Copyright (c) 2017 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | en | 0.811014 | # Copyright (c) 2017 Shotgun Software Inc. # # CONFIDENTIAL AND PROPRIETARY # # This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit # Source Code License included in this distribution package. See LICENSE. # By accessing, using, copying or modifying this work you indicate your # agreement to the S... | 1.975871 | 2 |
Scrapy/Scrapy_project/settings.py | PPjaisri/Senior-project | 0 | 6621483 | # Scrapy settings for Scrapy_project project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-mid... | # Scrapy settings for Scrapy_project project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-mid... | en | 0.642504 | # Scrapy settings for Scrapy_project project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # https://docs.scrapy.org/en/latest/topics/settings.html # https://docs.scrapy.org/en/latest/topics/downloader-mid... | 1.676047 | 2 |
pyTCPClientServer/cli_envelop_thread_after_accept.py | a2gs/pythonStudy | 0 | 6621484 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Social Network for Programmers and Developers
# from: https://morioh.com/p/1d5fd6c04b58
import socket
HEADER = 64
PORT = 5050
FORMAT = 'utf-8'
DISCONNECT_MESSAGE = "!DISCONNECT"
#SERVER = "192.168.1.26"
SERVER = "127.0.1.1"
ADDR = (SERVER, PORT)
client = socket.socke... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Social Network for Programmers and Developers
# from: https://morioh.com/p/1d5fd6c04b58
import socket
HEADER = 64
PORT = 5050
FORMAT = 'utf-8'
DISCONNECT_MESSAGE = "!DISCONNECT"
#SERVER = "192.168.1.26"
SERVER = "127.0.1.1"
ADDR = (SERVER, PORT)
client = socket.socke... | en | 0.64769 | #!/usr/bin/env python3 # -*- coding: utf-8 -*- # Social Network for Programmers and Developers # from: https://morioh.com/p/1d5fd6c04b58 #SERVER = "192.168.1.26" | 3.248038 | 3 |
coffeeBot.py | nickmachnik/CoffeeBuddyBot | 0 | 6621485 | <filename>coffeeBot.py
#!/usr/bin/env python
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import json
import datetime
import time
def main():
with open("./config.json", 'r') as fin:
config = json.load(fin)
config["round"] = config["round"] % (len(... | <filename>coffeeBot.py
#!/usr/bin/env python
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import json
import datetime
import time
def main():
with open("./config.json", 'r') as fin:
config = json.load(fin)
config["round"] = config["round"] % (len(... | ja | 0.145505 | #!/usr/bin/env python # bot._send_test("<EMAIL>") # bot._send_test("<EMAIL>") | 2.837836 | 3 |
SBR/Driver.py | Bobtron/ArbFinder | 0 | 6621486 | <reponame>Bobtron/ArbFinder<gh_stars>0
from pysbr import *
import pendulum
from SBR.League import League
from pprint import pprint
start = pendulum.now().add(days=1)#.strftime('%Y-%m-%d')
end = pendulum.now().add(days=8)#.strftime('%Y-%m-%d')
sb = Sportsbook()
# sb_ids = sb.ids(['Pinnacle', 'Bovada', 'Bookmaker', 'B... | from pysbr import *
import pendulum
from SBR.League import League
from pprint import pprint
start = pendulum.now().add(days=1)#.strftime('%Y-%m-%d')
end = pendulum.now().add(days=8)#.strftime('%Y-%m-%d')
sb = Sportsbook()
# sb_ids = sb.ids(['Pinnacle', 'Bovada', 'Bookmaker', 'BetOnline', 'Heritage Sports', 'BetOnlin... | en | 0.330259 | #.strftime('%Y-%m-%d') #.strftime('%Y-%m-%d') # sb_ids = sb.ids(['Pinnacle', 'Bovada', 'Bookmaker', 'BetOnline', 'Heritage Sports', 'BetOnline', 'GTbets', 'YouWager', # 'Intertops', 'JustBet', 'WagerWeb', 'SportsBetting']) # pp = pprint.PrettyPrinter(indent=4) # # print(end) # # nfl = NFL() # epl = EPL... | 2.484794 | 2 |
structures/migrations/0001_initial.py | buahaha/aa-structures | 0 | 6621487 | # Generated by Django 2.2.5 on 2019-11-21 03:27
import multiselectfield.db.fields
import django.core.validators
import django.db.models.deletion
from django.db import migrations, models
import structures.models
class Migration(migrations.Migration):
initial = True
dependencies = [
("eveonline", "... | # Generated by Django 2.2.5 on 2019-11-21 03:27
import multiselectfield.db.fields
import django.core.validators
import django.db.models.deletion
from django.db import migrations, models
import structures.models
class Migration(migrations.Migration):
initial = True
dependencies = [
("eveonline", "... | en | 0.755631 | # Generated by Django 2.2.5 on 2019-11-21 03:27 | 1.773986 | 2 |
p252.py | brandonpelfrey/project-euler | 0 | 6621488 | <filename>p252.py
def random_points(max_n):
S = {0: 290797}
for n in xrange(2*max_n):
S[n+1] = (S[n] ** 2) % 50515093
T = {}
for key, val in S.items():
T[key] = (val % 2000) - 1000
return map(lambda k: (T[2*k-1], T[2*k]), xrange(1, max_n+1) )
n_points = 500
points = random_points(n_points)
| <filename>p252.py
def random_points(max_n):
S = {0: 290797}
for n in xrange(2*max_n):
S[n+1] = (S[n] ** 2) % 50515093
T = {}
for key, val in S.items():
T[key] = (val % 2000) - 1000
return map(lambda k: (T[2*k-1], T[2*k]), xrange(1, max_n+1) )
n_points = 500
points = random_points(n_points)
| none | 1 | 2.776737 | 3 | |
skutil/grid_search.py | tgsmith61591/pynorm | 38 | 6621489 | <gh_stars>10-100
from __future__ import division, absolute_import, print_function
import sklearn
from .base import overrides
from .utils.fixes import (_validate_X, _validate_y,
_check_param_grid, _as_numpy, _CVScoreTuple)
__all__ = [
'GridSearchCV',
'RandomizedSearchCV'
]
# deprecati... | from __future__ import division, absolute_import, print_function
import sklearn
from .base import overrides
from .utils.fixes import (_validate_X, _validate_y,
_check_param_grid, _as_numpy, _CVScoreTuple)
__all__ = [
'GridSearchCV',
'RandomizedSearchCV'
]
# deprecation in sklearn 0.1... | en | 0.701465 | # deprecation in sklearn 0.18 Exhaustive search over specified parameter values for an estimator. This class is a skutil fix of the sklearn 0.18 GridSearchCV module, and allows use with SelectiveMixins and other skutil classes that don't interact so kindly with other sklearn 0.18 structures (i.e... | 2.273548 | 2 |
Driver.py | Thigos/Detector-de-Carros-OpenCV | 2 | 6621490 | <filename>Driver.py
import os
import cv2
import pyautogui
import mahotas
#Local do video
video_original = cv2.VideoCapture('teste.wmv')
#O local aonde os arquivos estão
diret = os.path.dirname(os.path.abspath(__file__))
while True:
#Frame do video
ret, frame = video_original.read()
#Converte para escala... | <filename>Driver.py
import os
import cv2
import pyautogui
import mahotas
#Local do video
video_original = cv2.VideoCapture('teste.wmv')
#O local aonde os arquivos estão
diret = os.path.dirname(os.path.abspath(__file__))
while True:
#Frame do video
ret, frame = video_original.read()
#Converte para escala... | pt | 0.988454 | #Local do video #O local aonde os arquivos estão #Frame do video #Converte para escalas de cinza #Suaviza a imagem #Utiliza o método otsu para transformar a imagem em binário 0,1 (preto ou branco) #Copia a imagem em escalas de cinza #Calcula áreas em que há um pico de intensidade e transforma em branco (255) ou preto (... | 2.979019 | 3 |
Py exercises/UnderstandingScopingAndNestedFunctions.py | arvindkarir/python-pandas-code | 0 | 6621491 | #something to understanding scoping and nested functions
def f(x):
def g():
x = 'abc'
print 'function x=', x
def h():
z = x
print 'hz =', z
x = x + 1
print 'x plus 1 =', x
h()
g()
print 'gx=', x
return g
x = 3
z = f(x)
print 'zx=', x
| #something to understanding scoping and nested functions
def f(x):
def g():
x = 'abc'
print 'function x=', x
def h():
z = x
print 'hz =', z
x = x + 1
print 'x plus 1 =', x
h()
g()
print 'gx=', x
return g
x = 3
z = f(x)
print 'zx=', x
| en | 0.839422 | #something to understanding scoping and nested functions | 4.000284 | 4 |
DNA2VEC/model.py | NaiveTom/all_model | 0 | 6621492 | <gh_stars>0
from keras import initializers
from tensorflow.keras.layers import Layer, InputSpec
from keras import backend as K
from keras.layers import *
from keras.models import *
from keras.optimizers import Adam
from keras.regularizers import l1, l2
import keras
import numpy as np
MAX_LEN_en = 3000
MAX_LEN_pr = 2... | from keras import initializers
from tensorflow.keras.layers import Layer, InputSpec
from keras import backend as K
from keras.layers import *
from keras.models import *
from keras.optimizers import Adam
from keras.regularizers import l1, l2
import keras
import numpy as np
MAX_LEN_en = 3000
MAX_LEN_pr = 2000
NB_WORDS... | en | 0.325064 | #################### # ACGT #################### # self.init = initializers.get('normal') # size of x :[batch_size, sel_len, attention_dim] # size of u :[batch_size, attention_dim] # uit = tanh(xW+b) # Cast the mask to floatX to avoid float64 upcasting in theano # self.init = initializers.get('normal') # size of x :[ba... | 2.463606 | 2 |
kong_admin/sync/apis.py | peterayeni/django-kong-admin | 2 | 6621493 | <filename>kong_admin/sync/apis.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
from kong.exceptions import ConflictError
from kong_admin.models import APIReference, PluginConfigurationReference, PluginConfigurationField
from .base import KongProxySyncEngine
class APISyncEngine(Kong... | <filename>kong_admin/sync/apis.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
from kong.exceptions import ConflictError
from kong_admin.models import APIReference, PluginConfigurationReference, PluginConfigurationField
from .base import KongProxySyncEngine
class APISyncEngine(Kong... | en | 0.769321 | # -*- coding: utf-8 -*- | 1.907779 | 2 |
second/pytorch/models/__init__.py | yukke42/SECOND | 0 | 6621494 | <gh_stars>0
from . import net_multi_head
| from . import net_multi_head | none | 1 | 1.033595 | 1 | |
Application/system/events_monitor.py | Unicorn-Dev/Minimal.io | 0 | 6621495 | import sys
from Application.system.game_functions import *
import Application.system.game_functions as gf
settings = None
screen = None
stats = None
def set_global_var(setts, scr, statistics):
global settings
global screen
global stats
settings = setts
screen = scr
stats = statistics
class... | import sys
from Application.system.game_functions import *
import Application.system.game_functions as gf
settings = None
screen = None
stats = None
def set_global_var(setts, scr, statistics):
global settings
global screen
global stats
settings = setts
screen = scr
stats = statistics
class... | none | 1 | 2.454015 | 2 | |
python/examples/synchronous-scraper.py | Fe-Nick-S/experiments | 2 | 6621496 | <filename>python/examples/synchronous-scraper.py
from urllib.request import Request, urlopen
from time import time
SITES = [
"http://news.ycombinator.com/",
"https://www.yahoo.com/",
"http://salmonofcapistrano.com/",
"https://mail.ru/"
]
def find_size(url):
req = Request(url)
with urlopen(r... | <filename>python/examples/synchronous-scraper.py
from urllib.request import Request, urlopen
from time import time
SITES = [
"http://news.ycombinator.com/",
"https://www.yahoo.com/",
"http://salmonofcapistrano.com/",
"https://mail.ru/"
]
def find_size(url):
req = Request(url)
with urlopen(r... | none | 1 | 3.251456 | 3 | |
scripts/experiments/performance.py | jjbrophy47/tree_deletion | 1 | 6621497 | """
This experiment tests predictive performance.
"""
import os
import sys
import time
import argparse
import resource
from datetime import datetime
import numpy as np
import pandas as pd
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.model_sele... | """
This experiment tests predictive performance.
"""
import os
import sys
import time
import argparse
import resource
from datetime import datetime
import numpy as np
import pandas as pd
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.model_sele... | en | 0.650919 | This experiment tests predictive performance. Return the appropriate model. Return the appropriate model. Chooses the set of hyperparameters whose `mean_fit_score` is within `tol` of the best `mean_fit_score` and has the lowest `mean_fit_time`. # filter the parameters with the highest performances # obtain data # d... | 2.723881 | 3 |
lib/disco/task.py | pooya/disco | 786 | 6621498 | """
:mod:`disco.task` -- Disco Tasks
================================
This module defines objects for interfacing with
:term:`tasks <task>` assigned by the master.
"""
import os, time
from disco.compat import basestring, integer_types
from disco import dPickle
from disco.util import hexhash
def jobdata(*objs):
... | """
:mod:`disco.task` -- Disco Tasks
================================
This module defines objects for interfacing with
:term:`tasks <task>` assigned by the master.
"""
import os, time
from disco.compat import basestring, integer_types
from disco import dPickle
from disco.util import hexhash
def jobdata(*objs):
... | en | 0.805024 | :mod:`disco.task` -- Disco Tasks ================================ This module defines objects for interfacing with :term:`tasks <task>` assigned by the master. :return: :ref:`jobdata` needed for instantiating the :class:`disco.job.Job` on the node. Encapsulates the information specific to a particular :term:`task`... | 2.423995 | 2 |
textcnn/model.py | bhsimon0810/text-classification | 1 | 6621499 | import tensorflow as tf
import numpy as np
class TextCNN(object):
"""
A CNN for text classification.
Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer.
"""
def __init__(
self, sequence_length, num_class, vocab_size,
embedding_s... | import tensorflow as tf
import numpy as np
class TextCNN(object):
"""
A CNN for text classification.
Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer.
"""
def __init__(
self, sequence_length, num_class, vocab_size,
embedding_s... | en | 0.546746 | A CNN for text classification.
Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer. # placeholders # embedding layer # with tf.device('/cpu:0'), tf.name_scope("embedding"): # self.embedding_matrix = tf.Variable( # tf.random_uniform([vocab_size, embedding_size], -1.0, 1.0... | 3.196596 | 3 |
benchmark_primes.py | VadymTkachuk/prime-numbers | 0 | 6621500 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Author: <NAME>
# Date: 02.03.2019
# License: MIT
# Purpose: This is a module for speed testing prime's module functions.
import timeit
import primes
def run_test():
SETUP_CODE = '''
import primes
import random
import numpy as np
# n = random.ran... | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Author: <NAME>
# Date: 02.03.2019
# License: MIT
# Purpose: This is a module for speed testing prime's module functions.
import timeit
import primes
def run_test():
SETUP_CODE = '''
import primes
import random
import numpy as np
# n = random.ran... | en | 0.623819 | #!/usr/bin/python # -*- coding: utf-8 -*- # # Author: <NAME> # Date: 02.03.2019 # License: MIT # Purpose: This is a module for speed testing prime's module functions. import primes
import random
import numpy as np
# n = random.randint(10000000, 100000000) # Making names of is_prime#() functions and testing them. # ... | 3.311122 | 3 |
iguanas/rule_scoring/rule_scorer.py | Aditya-Kapadiya/Iguanas | 0 | 6621501 | <reponame>Aditya-Kapadiya/Iguanas<gh_stars>0
"""
Generates scores for each rule in a set. Scaling functions can also be applied
to the scores.
"""
from iguanas.rule_scoring.rule_scoring_methods import PerformanceScorer, LogRegScorer,\
RandomForestScorer
from iguanas.utils.typing import PandasDataFrameType, PandasSe... | """
Generates scores for each rule in a set. Scaling functions can also be applied
to the scores.
"""
from iguanas.rule_scoring.rule_scoring_methods import PerformanceScorer, LogRegScorer,\
RandomForestScorer
from iguanas.utils.typing import PandasDataFrameType, PandasSeriesType
from iguanas.rule_scoring.rule_score... | en | 0.602884 | Generates scores for each rule in a set. Scaling functions can also be applied to the scores. Generates rule scores using the rule binary columns and the target column. Parameters ---------- scoring_class : Union[PerformanceScorer, LogRegScorer, RandomForestScorer] The instantiated scoring class - ... | 3.289587 | 3 |
examples/deposit.py | kaurifinance/python-sdk | 0 | 6621502 | <reponame>kaurifinance/python-sdk
from kauripay.processing import KauriPay
api_key = ''
api_secret = ''
host = ''
pay = KauriPay(api_key=api_key,
api_secret=api_secret,
host=host)
def generate_crypto_deposit_address(cryptocurrency='BTC',
deposit_emai... | from kauripay.processing import KauriPay
api_key = ''
api_secret = ''
host = ''
pay = KauriPay(api_key=api_key,
api_secret=api_secret,
host=host)
def generate_crypto_deposit_address(cryptocurrency='BTC',
deposit_email='<EMAIL>',
... | en | 0.832188 | Generates a new deposit address for chosen cryptocurrency with custom callback_url for notifications :param cryptocurrency: cryptocurrency name :param deposit_email: user's email :param callback_url: url for order's status notifications :return: str type new deposit address Generates a new deposit a... | 2.768093 | 3 |
services/arguments/arguments_service_base.py | ktodorov/eval-historical-texts | 9 | 6621503 | import argparse
from typing import List, Dict
from entities.custom_argument_parser import CustomArgumentParser
from enums.evaluation_type import EvaluationType
from enums.language import Language
from enums.output_format import OutputFormat
from enums.challenge import Challenge
from enums.configuration import Config... | import argparse
from typing import List, Dict
from entities.custom_argument_parser import CustomArgumentParser
from enums.evaluation_type import EvaluationType
from enums.language import Language
from enums.output_format import OutputFormat
from enums.challenge import Challenge
from enums.configuration import Config... | en | 0.619166 | Prints the arguments which the program was initialized with Returns an argument value from the list of registered arguments :param key: key of the argument :type key: str :raises LookupError: if no argument is found, lookup error will be raised :return: the argument value :rtype... | 2.3475 | 2 |
algorithm/deep_learning/gradient3.py | kake777/python_sample | 0 | 6621504 | #勾配のグラフ
import numpy as np
import matplotlib.pylab as plt
from mpl_toolkits.mplot3d import Axes3D
from common_function import numerical_gradient, function_2
def tangent_line(f, x):
d = numerical_gradient(f, x)
print(d)
y = f(x) - d*x
return lambda t: d*t + y
if __name__ == '__main__':
x0 = np.aran... | #勾配のグラフ
import numpy as np
import matplotlib.pylab as plt
from mpl_toolkits.mplot3d import Axes3D
from common_function import numerical_gradient, function_2
def tangent_line(f, x):
d = numerical_gradient(f, x)
print(d)
y = f(x) - d*x
return lambda t: d*t + y
if __name__ == '__main__':
x0 = np.aran... | none | 1 | 3.316455 | 3 | |
pun/first/config.py | Unviray/pun | 2 | 6621505 | # Parent path to search for punfile.py
PARENT_LEN = 2
| # Parent path to search for punfile.py
PARENT_LEN = 2
| en | 0.732154 | # Parent path to search for punfile.py | 1.15729 | 1 |
drf_auth/exceptions.py | TheArtling/django-drf-auth | 0 | 6621506 | """Exceptions for the drf_auth app."""
class AccessTokenException(Exception): # pragma: nocover
"""
Raised when we could not get an app access token from Facebook.
This can happen when our settings are wrong. Facebook will return a 400
response, but we don't want to show this to the user, because it... | """Exceptions for the drf_auth app."""
class AccessTokenException(Exception): # pragma: nocover
"""
Raised when we could not get an app access token from Facebook.
This can happen when our settings are wrong. Facebook will return a 400
response, but we don't want to show this to the user, because it... | en | 0.868615 | Exceptions for the drf_auth app. # pragma: nocover Raised when we could not get an app access token from Facebook. This can happen when our settings are wrong. Facebook will return a 400 response, but we don't want to show this to the user, because it is our own fault. We will raise this exception instead.... | 3.073008 | 3 |
lyapy/systems/system.py | vdorobantu/lyapy | 36 | 6621507 | <reponame>vdorobantu/lyapy<filename>lyapy/systems/system.py<gh_stars>10-100
"""Base class for dynamical systems of the form x_dot = f(t, x)."""
from scipy.integrate import solve_ivp
class System:
"""Base class for dynamical systems of the form x_dot = f(t, x).
Override dx.
Let n be number of states.
... | """Base class for dynamical systems of the form x_dot = f(t, x)."""
from scipy.integrate import solve_ivp
class System:
"""Base class for dynamical systems of the form x_dot = f(t, x).
Override dx.
Let n be number of states.
"""
def dx(self, t, x):
"""Evaluate state derivative at a time... | en | 0.634002 | Base class for dynamical systems of the form x_dot = f(t, x). Base class for dynamical systems of the form x_dot = f(t, x). Override dx. Let n be number of states. Evaluate state derivative at a time and state. Outputs a numpy array (n,). Inputs: Time, t: float State, x: nump... | 3.518088 | 4 |
terkey.py | djunekz/terkey | 0 | 6621508 | import os
from time import sleep
a ='\033[92m'
b ='\033[91m'
c ='\033[0m'
def setup():
try:
os.mkdir('/data/data/com.termux/files/home/.termux')
except:
pass
key = "extra-keys = [['ESC','/','-','HOME','UP','END','PGUP'],['TAB','CTRL','ALT','LEFT','DOWN','RIGHT','PGDN']]"
open('/data/d... | import os
from time import sleep
a ='\033[92m'
b ='\033[91m'
c ='\033[0m'
def setup():
try:
os.mkdir('/data/data/com.termux/files/home/.termux')
except:
pass
key = "extra-keys = [['ESC','/','-','HOME','UP','END','PGUP'],['TAB','CTRL','ALT','LEFT','DOWN','RIGHT','PGDN']]"
open('/data/d... | id | 0.511568 | # ini cuma shortcut buat bantu para newbie # D J U N E K Z | 2.011941 | 2 |
src/easy/real-fake/solutions/python/solution.py | rdtsc/codeeval-solutions | 0 | 6621509 | #!/usr/bin/env python3
import sys
for line in sys.stdin:
digits = [int(c) for c in line if c.isdigit()]
tally = sum(n * 2 for n in digits[::2]) + sum(digits[1::2])
print('Fake' if tally % 10 else 'Real')
| #!/usr/bin/env python3
import sys
for line in sys.stdin:
digits = [int(c) for c in line if c.isdigit()]
tally = sum(n * 2 for n in digits[::2]) + sum(digits[1::2])
print('Fake' if tally % 10 else 'Real')
| fr | 0.221828 | #!/usr/bin/env python3 | 3.334594 | 3 |
poly/app.py | entangle2giraffe/scikitlearn_demo | 0 | 6621510 | import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error
from sklearn.preprocessing import PolynomialFeatures
import sys
# Import the local module
# The module import pandas and slicing dat... | import matplotlib.pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error
from sklearn.preprocessing import PolynomialFeatures
import sys
# Import the local module
# The module import pandas and slicing dat... | en | 0.578102 | # Import the local module # The module import pandas and slicing dataset # for specific country of the input of variable 'coa' # Read the table # Store the variable in cdf # Separate 80% for train dataset and rest as test dataset # Import Linear Regression model # Prompt the user for degree # Train dataset # Convert Li... | 3.706198 | 4 |
pyds8k/exceptions.py | 27149chen/pyds8k | 7 | 6621511 | <filename>pyds8k/exceptions.py
##############################################################################
# Copyright 2019 IBM Corp.
#
# 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
#
# ht... | <filename>pyds8k/exceptions.py
##############################################################################
# Copyright 2019 IBM Corp.
#
# 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
#
# ht... | en | 0.750318 | ############################################################################## # Copyright 2019 IBM Corp. # # 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/LI... | 2.332659 | 2 |
pyjac/loopy_utils/loopy_utils.py | stgeke/pyJac-v2 | 9 | 6621512 | <reponame>stgeke/pyJac-v2<filename>pyjac/loopy_utils/loopy_utils.py
from __future__ import print_function
import logging
import os
import stat
import re
import six
from string import Template
# package imports
import loopy as lp
from loopy.target.c.c_execution import CPlusPlusCompiler
import numpy as np
import warnin... | from __future__ import print_function
import logging
import os
import stat
import re
import six
from string import Template
# package imports
import loopy as lp
from loopy.target.c.c_execution import CPlusPlusCompiler
import numpy as np
import warnings
try:
import pyopencl as cl
from pyopencl.tools import cl... | en | 0.651991 | # package imports # local imports Loads a code-generation platform from a file, and returns the corresponding :class:`loopy_options` Parameters ---------- codegen: str The user-specified code-generation platform yaml file Returns ------- :class:`loopy_options` The loaded pl... | 1.928156 | 2 |
fbssdc/bpy.py | Eijebong/binjs-ref | 391 | 6621513 | <filename>fbssdc/bpy.py
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import format
import idl
import opt
import os
import strings
import subprocess
import tempfile... | <filename>fbssdc/bpy.py
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import format
import idl
import opt
import os
import strings
import subprocess
import tempfile... | en | 0.847826 | #!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. # 1. Prepare destination directory # 2. Extract AST # 3. Encode # 4. Copy source file # FIXME: Make this a specific exce... | 2.086848 | 2 |
lab03/book_registry/test_script.py | Boris-Barboris/rsoi | 0 | 6621514 | #!/usr/bin/python3
from app_book_registry.oauthclient import *
from app_book_registry.book_registry_client import *
from app_book_registry.rsoi_common import AlreadyExists
import json
import requests
import logging
import http.client
http.client.HTTPConnection.debuglevel = 1
logging.basicConfig()
logging.getLogger()... | #!/usr/bin/python3
from app_book_registry.oauthclient import *
from app_book_registry.book_registry_client import *
from app_book_registry.rsoi_common import AlreadyExists
import json
import requests
import logging
import http.client
http.client.HTTPConnection.debuglevel = 1
logging.basicConfig()
logging.getLogger()... | fr | 0.386793 | #!/usr/bin/python3 | 2.238985 | 2 |
Controllers/UI.py | DeerChen/LRCPlayer | 0 | 6621515 | '''
Description:
Author: Senkita
Date: 2021-04-16 18:53:58
LastEditors: Senkita
LastEditTime: 2021-04-16 20:48:53
'''
from pathlib import Path
from typing import List
from .Player import Player
import os
from random import shuffle
class UI:
def __init__(self) -> None:
self.lrc_dir = Path(... | '''
Description:
Author: Senkita
Date: 2021-04-16 18:53:58
LastEditors: Senkita
LastEditTime: 2021-04-16 20:48:53
'''
from pathlib import Path
from typing import List
from .Player import Player
import os
from random import shuffle
class UI:
def __init__(self) -> None:
self.lrc_dir = Path(... | en | 0.44344 | Description:
Author: Senkita
Date: 2021-04-16 18:53:58
LastEditors: Senkita
LastEditTime: 2021-04-16 20:48:53 | 3.295915 | 3 |
cloudnet-package/trainer/utils.py | Windact/cloud_detection | 0 | 6621516 | <gh_stars>0
from tensorflow.keras import backend as K
from tensorflow import keras
smooth = 0.0000001
def jacc_coef(y_true, y_pred):
y_true_f = K.flatten(y_true)
y_pred_f = K.flatten(y_pred)
intersection = K.sum(y_true_f * y_pred_f)
return 1 - ((intersection + smooth) / (K.sum(y_true_f) + K.sum(y_pre... | from tensorflow.keras import backend as K
from tensorflow import keras
smooth = 0.0000001
def jacc_coef(y_true, y_pred):
y_true_f = K.flatten(y_true)
y_pred_f = K.flatten(y_pred)
intersection = K.sum(y_true_f * y_pred_f)
return 1 - ((intersection + smooth) / (K.sum(y_true_f) + K.sum(y_pred_f) - inter... | en | 0.57163 | It prints out the last used learning rate after each epoch (useful for resuming a training) original code: https://github.com/keras-team/keras/issues/7874#issuecomment-329347949 # works only when decay in optimizer is zero # t = K.cast(optimizer.iterations, K.floatx()) + 1 # lr_t = K.eval(optimizer.lr * (K.sqrt(1. ... | 2.929758 | 3 |
Module6_HW/hw6_1_4.py | vladspirin/python_core | 0 | 6621517 | from random import randint
list_1 = []
list_2 = []
numbers = [randint(-5, 5) for i in range(-5, 5)]
for i in numbers:
print(i)
if i < 0:
list_1.append(i)
if i > 0:
list_2.append(i)
print(list_1)
print(list_2)
| from random import randint
list_1 = []
list_2 = []
numbers = [randint(-5, 5) for i in range(-5, 5)]
for i in numbers:
print(i)
if i < 0:
list_1.append(i)
if i > 0:
list_2.append(i)
print(list_1)
print(list_2)
| none | 1 | 3.626039 | 4 | |
export.py | jessedp/tut | 4 | 6621518 | import gevent
import os
import contextlib
import shutil
import socket
import tempfile
import logging
from tqdm import tqdm
import ffmpeg
from tinydb import TinyDB, Query
from config import built_ins
from recording import Recording
logger = logging.getLogger(__name__)
def copy(id_list, args):
total = len(id_l... | import gevent
import os
import contextlib
import shutil
import socket
import tempfile
import logging
from tqdm import tqdm
import ffmpeg
from tinydb import TinyDB, Query
from config import built_ins
from recording import Recording
logger = logging.getLogger(__name__)
def copy(id_list, args):
total = len(id_l... | en | 0.896116 | # TODO: put a X of Y somewhere near here # TODO: Whoops, now used this twice (search.py too) # shortcut for later # TODO: deal with pieces of the same recording (TMSID?) marked "finished" # ie, 2 portions (non-full) of the an episode # + just skip them (do this!) # + differentiate on recorded at the ... | 2.525855 | 3 |
src/isle/memoize.py | chelseajohn/isle | 2 | 6621519 | r"""!\file
\brief Utilities for memoizing function results.
Memoization decorators let us compute expensive functions once and store the result,
so that if the function is called again with the same arguments the result is just returned.
"""
import functools
import inspect
import typing
import weakref
from dataclass... | r"""!\file
\brief Utilities for memoizing function results.
Memoization decorators let us compute expensive functions once and store the result,
so that if the function is called again with the same arguments the result is just returned.
"""
import functools
import inspect
import typing
import weakref
from dataclass... | en | 0.816139 | !\file \brief Utilities for memoizing function results. Memoization decorators let us compute expensive functions once and store the result, so that if the function is called again with the same arguments the result is just returned. ! Decorator that memoizes the result of a method call based on given arguments. ... | 4.267141 | 4 |
src/lander/__init__.py | lsst-sqre/lander | 2 | 6621520 | """HTML landing page generator for LSST PDF documentation deployed from Git to
LSST the Docs.
https://github.com/lsst-sqre/lander
"""
from pkg_resources import DistributionNotFound, get_distribution
try:
__version__ = get_distribution("lander").version
except DistributionNotFound:
# package is not installed
... | """HTML landing page generator for LSST PDF documentation deployed from Git to
LSST the Docs.
https://github.com/lsst-sqre/lander
"""
from pkg_resources import DistributionNotFound, get_distribution
try:
__version__ = get_distribution("lander").version
except DistributionNotFound:
# package is not installed
... | en | 0.77478 | HTML landing page generator for LSST PDF documentation deployed from Git to LSST the Docs. https://github.com/lsst-sqre/lander # package is not installed | 1.408901 | 1 |
examples/some_activity/tests.py | klausfmh/pypeman | 6 | 6621521 | <gh_stars>1-10
from pypeman.test import PypeTestCase
# from pypeman.message import Message
class MyChanTest(PypeTestCase):
def test1_great_channel(self):
""" Test example """
self.get_channel("periodic")
| from pypeman.test import PypeTestCase
# from pypeman.message import Message
class MyChanTest(PypeTestCase):
def test1_great_channel(self):
""" Test example """
self.get_channel("periodic") | en | 0.314678 | # from pypeman.message import Message Test example | 2.465531 | 2 |
src/Accunniscila/frontend/views.py | GiorgioBelli/Accunniscila | 2 | 6621522 | <filename>src/Accunniscila/frontend/views.py
from django.shortcuts import render
import Orders.views as order_views
from Menu.models import Pizza
from Utilities.views import EmptyAPIView, NoAuthAPIView, AuthAPIView
# Create your views here.
class IndexView(EmptyAPIView):
def get(self,request):
return... | <filename>src/Accunniscila/frontend/views.py
from django.shortcuts import render
import Orders.views as order_views
from Menu.models import Pizza
from Utilities.views import EmptyAPIView, NoAuthAPIView, AuthAPIView
# Create your views here.
class IndexView(EmptyAPIView):
def get(self,request):
return... | en | 0.968116 | # Create your views here. | 2.249313 | 2 |
vnet_manager/config/validate.py | ppartarr/vnet-manager | 0 | 6621523 | from ipaddress import IPv4Interface, IPv6Interface, ip_interface
from re import fullmatch
from logging import getLogger
from os.path import isdir, isfile, join
from copy import deepcopy
from vnet_manager.utils.mac import random_mac_generator
from vnet_manager.conf import settings
logger = getLogger(__name__)
class ... | from ipaddress import IPv4Interface, IPv6Interface, ip_interface
from re import fullmatch
from logging import getLogger
from os.path import isdir, isfile, join
from copy import deepcopy
from vnet_manager.utils.mac import random_mac_generator
from vnet_manager.conf import settings
logger = getLogger(__name__)
class ... | en | 0.686238 | Validates the config generated by get_config() and updates some values if missing :param dict config: The config generated by get_config() This property can be called to see if any unrecoverable errors in the config have been found This property contains a updated config dict, with all values that have been fixed by th... | 2.341737 | 2 |
sequences.py | chapman-cs510-2017f/cw-03-kris_ehsan_evan | 0 | 6621524 | <filename>sequences.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
def fibonacci(n):
count = 0
while True:
try:
if count >= 1:
n = int(input("enter a positve integer: "))
my_list = []
a,b = 0,1
for i in range(n):
... | <filename>sequences.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
def fibonacci(n):
count = 0
while True:
try:
if count >= 1:
n = int(input("enter a positve integer: "))
my_list = []
a,b = 0,1
for i in range(n):
... | en | 0.068134 | #!/usr/bin/env python3 # -*- coding: utf-8 -*- #print(my_list) #fibonacci(10.3333333) #fibonacci("Dw") #fibonacci(wadkvsa) #fibonacci(100) | 4.135221 | 4 |
service_info_cms/templatetags/si_cms_language_tags.py | hanaahajj/Serviceinfo_hanaa | 0 | 6621525 | from django import template
from django.conf import settings
register = template.Library()
@register.simple_tag(takes_context=True)
def service_language_code(context, service):
request = context['request']
return settings.SERVICE_LANGUAGE_CODES[service.lower()][request.LANGUAGE_CODE]
@register.simple_tag
d... | from django import template
from django.conf import settings
register = template.Library()
@register.simple_tag(takes_context=True)
def service_language_code(context, service):
request = context['request']
return settings.SERVICE_LANGUAGE_CODES[service.lower()][request.LANGUAGE_CODE]
@register.simple_tag
d... | none | 1 | 1.831308 | 2 | |
tckdb/backend/app/schemas/trans.py | TCKDB/TCKDB | 2 | 6621526 | """
TCKDB backend app schemas energy transfer (trans) module
"""
from enum import Enum
from typing import Dict, Optional, Tuple, Union
from pydantic import BaseModel, Field, validator
class TransModelEnum(str, Enum):
"""
The supported Trans models
"""
single_exponential_down = 'Single Exponential Do... | """
TCKDB backend app schemas energy transfer (trans) module
"""
from enum import Enum
from typing import Dict, Optional, Tuple, Union
from pydantic import BaseModel, Field, validator
class TransModelEnum(str, Enum):
"""
The supported Trans models
"""
single_exponential_down = 'Single Exponential Do... | en | 0.716901 | TCKDB backend app schemas energy transfer (trans) module The supported Trans models A TransBase class (shared properties) Trans.reviewer_flags validator Trans.parameters validator Create a Trans item: Properties to receive on item creation Update a Trans item: Properties to receive on item update Properties shared by m... | 2.42363 | 2 |
Python/Ex049.py | EspagueteTV/Meus-Estudos-CursoEmVideo | 0 | 6621527 | n = int(input('Informe um número para ver a sua tabuada: '))
for i in range(0, 11):
print('{} x {:2} = {}'.format(n, i, n * i))
| n = int(input('Informe um número para ver a sua tabuada: '))
for i in range(0, 11):
print('{} x {:2} = {}'.format(n, i, n * i))
| none | 1 | 3.937096 | 4 | |
sensor_correction/apps/train.py | cheind/rgbd-correction | 15 | 6621528 | __author__ = '<NAME>'
__copyright__ = 'Copyright 2017, Profactor GmbH'
__license__ = 'BSD'
import glob
import os
import numpy as np
import matplotlib.pyplot as plt
from sensor_correction.utils import sensor_unproject
from sensor_correction.gp_cpu import GPRegressor
def select_data(temps, poses, all_depths_ir, all_de... | __author__ = '<NAME>'
__copyright__ = 'Copyright 2017, Profactor GmbH'
__license__ = 'BSD'
import glob
import os
import numpy as np
import matplotlib.pyplot as plt
from sensor_correction.utils import sensor_unproject
from sensor_correction.gp_cpu import GPRegressor
def select_data(temps, poses, all_depths_ir, all_de... | en | 0.106481 | # Actual plt.imshow(depth_rgb - depth_ir) plt.plot(xy[:,0][mask], xy[:,1][mask], 'k+') plt.colorbar() plt.show() # Load depth data # Load intrinsics # Create train and test data | 2.349477 | 2 |
TM1py/Services/DimensionService.py | lotsaram/TM1py | 0 | 6621529 | # -*- coding: utf-8 -*-
import json
from TM1py.Exceptions import TM1pyException
from TM1py.Objects.Dimension import Dimension
from TM1py.Services.ObjectService import ObjectService
from TM1py.Services.SubsetService import SubsetService
from TM1py.Services.HierarchyService import HierarchyService
class DimensionSer... | # -*- coding: utf-8 -*-
import json
from TM1py.Exceptions import TM1pyException
from TM1py.Objects.Dimension import Dimension
from TM1py.Services.ObjectService import ObjectService
from TM1py.Services.SubsetService import SubsetService
from TM1py.Services.HierarchyService import HierarchyService
class DimensionSer... | en | 0.721588 | # -*- coding: utf-8 -*- Service to handle Object Updates for TM1 Dimensions create a dimension :param dimension: instance of TM1py.Dimension :return: response # If Dimension exists. throw Exception # If not all subsequent calls successfull -> undo everything that has been done in this function # create... | 2.445708 | 2 |
epyseg/draw/shapes/ellipse2d.py | jo-mueller/EPySeg | 14 | 6621530 | from PyQt5 import QtWidgets
from PyQt5.QtCore import QPoint, QPointF, Qt, QRectF
from PyQt5.QtGui import QBrush, QPen, QColor, QTransform
from epyseg.tools.logger import TA_logger
logger = TA_logger()
class Ellipse2D(QtWidgets.QGraphicsEllipseItem):
isSet = False
def __init__(self, *args, color=0xFFFF00, f... | from PyQt5 import QtWidgets
from PyQt5.QtCore import QPoint, QPointF, Qt, QRectF
from PyQt5.QtGui import QBrush, QPen, QColor, QTransform
from epyseg.tools.logger import TA_logger
logger = TA_logger()
class Ellipse2D(QtWidgets.QGraphicsEllipseItem):
isSet = False
def __init__(self, *args, color=0xFFFF00, f... | en | 0.556848 | # rotation allows lines to be dashed or dotted or have custom pattern :param style: a list of numbers or any of the following Qt.SolidLine, Qt.DashLine, Qt.DashDotLine, Qt.DotLine, Qt.DashDotDotLine but not Qt.CustomDashLine, Qt.CustomDashLine is assumed by default if a list is passed in. None is also a valid ... | 2.738286 | 3 |
fastreg/testing.py | fmcetin/fastreg | 34 | 6621531 | <gh_stars>10-100
import numpy as np
import pandas as pd
from . import linear
from .formula import I, R, C
# true parameters
params0 = {
'I': 0.1,
'x1': 0.3,
'x2': 0.6,
'id1': 1.0,
'id2': 1.0,
'sigma': 1.0,
'pz': 0.2,
'alpha': 0.3
}
# poisson dampening
pfact = 100
# default specificat... | import numpy as np
import pandas as pd
from . import linear
from .formula import I, R, C
# true parameters
params0 = {
'I': 0.1,
'x1': 0.3,
'x2': 0.6,
'id1': 1.0,
'id2': 1.0,
'sigma': 1.0,
'pz': 0.2,
'alpha': 0.3
}
# poisson dampening
pfact = 100
# default specification
default_x = I... | en | 0.362519 | # true parameters # poisson dampening # default specification # good negbin in terms of mean and overdispersion (var = m + alpha*m^2) # init random # core regressors # predictors # linear # logit # poisson # zero-inflated poisson # negative binomial # zero-inflated poisson # inferred ranges # plot estimates | 2.427204 | 2 |
pyh3lib/tests/test_multipart.py | dimosarvanitakis/H3 | 10 | 6621532 | <gh_stars>1-10
# Copyright [2019] [FORTH-ICS]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | # Copyright [2019] [FORTH-ICS]
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | en | 0.861314 | # Copyright [2019] [FORTH-ICS] # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing... | 2.157727 | 2 |
vk.py | Kwentar/ImageDownloader | 2 | 6621533 | import json
import random
from urllib.error import URLError
from urllib.parse import urlencode
from urllib.request import urlopen, http, Request
import time
from datetime import date
from Profiler import Profiler
import __setup_photo__ as setup
class VkError(Exception):
def __init__(self, value):
self.val... | import json
import random
from urllib.error import URLError
from urllib.parse import urlencode
from urllib.request import urlopen, http, Request
import time
from datetime import date
from Profiler import Profiler
import __setup_photo__ as setup
class VkError(Exception):
def __init__(self, value):
self.val... | en | 0.651787 | # Vk.call_api(method, params) Count more than 1000, count = {}, age = {}, month = {}, day = {} | 2.679518 | 3 |
twitter/credentials.py | eferrares/codeinquero | 1 | 6621534 | CONSUMER_KEY = 'q8hG77NeTRXu4ldDyZb8kjw4S'
CONSUMER_SECRET = '<KEY>'
ACCESS_TOKEN = '<KEY>'
ACCESS_TOKEN_SECRET = '<KEY>'
| CONSUMER_KEY = 'q8hG77NeTRXu4ldDyZb8kjw4S'
CONSUMER_SECRET = '<KEY>'
ACCESS_TOKEN = '<KEY>'
ACCESS_TOKEN_SECRET = '<KEY>'
| none | 1 | 1.002039 | 1 | |
python/learning/sample_03.py | erisky/my_practices | 0 | 6621535 | <reponame>erisky/my_practices
#!/usr/bin/env python
import sys
#tmp = sys.stdout
#sys.stdout = open('output.txt', 'a')
# variable number of arguments
def min1(*args):
res = args[0]
for val in args[1:]:
if (res > val):
res = val
return res
print min1(1,2,3,4,5)
print min1('a', 'b')... | #!/usr/bin/env python
import sys
#tmp = sys.stdout
#sys.stdout = open('output.txt', 'a')
# variable number of arguments
def min1(*args):
res = args[0]
for val in args[1:]:
if (res > val):
res = val
return res
print min1(1,2,3,4,5)
print min1('a', 'b')
print min1('12321', '1efwef')... | en | 0.270844 | #!/usr/bin/env python #tmp = sys.stdout #sys.stdout = open('output.txt', 'a') # variable number of arguments #lambda -- easier format of function #ex # apply function, something useful when make use of function pointer of C # map function | 3.952479 | 4 |
gluetool_modules_framework/tests/test_coldstore.py | testing-farm/gluetool-modules | 0 | 6621536 | # Copyright Contributors to the Testing Farm project.
# SPDX-License-Identifier: Apache-2.0
import logging
import pytest
from mock import MagicMock
import gluetool_modules_framework.helpers.coldstore
from . import create_module, patch_shared, check_loadable
@pytest.fixture(name='module')
def fixture_module():
... | # Copyright Contributors to the Testing Farm project.
# SPDX-License-Identifier: Apache-2.0
import logging
import pytest
from mock import MagicMock
import gluetool_modules_framework.helpers.coldstore
from . import create_module, patch_shared, check_loadable
@pytest.fixture(name='module')
def fixture_module():
... | en | 0.55216 | # Copyright Contributors to the Testing Farm project. # SPDX-License-Identifier: Apache-2.0 | 1.84635 | 2 |
pobalog/text_area_detection.py | select766/PoBaLog | 0 | 6621537 | <reponame>select766/PoBaLog
"""
文字の面積を検出する
"""
import numpy as np
import cv2
class TextAreaDetection:
def __init__(self, rectangle, threshold):
"""
:param rectangle: 対象領域の上、下、左、右の座標
:param threshold: 明るさ閾値（0~255,これ以下が文字とみなされる)
"""
self.rectangle = rectangle
self.t... | """
文字の面積を検出する
"""
import numpy as np
import cv2
class TextAreaDetection:
def __init__(self, rectangle, threshold):
"""
:param rectangle: 対象領域の上、下、左、右の座標
:param threshold: 明るさ閾値（0~255,これ以下が文字とみなされる)
"""
self.rectangle = rectangle
self.threshold = threshold
de... | ja | 0.986953 | 文字の面積を検出する :param rectangle: 対象領域の上、下、左、右の座標 :param threshold: 明るさ閾値（0~255,これ以下が文字とみなされる) | 3.258983 | 3 |
migrations/versions/fe743605e1a_remove_repositoryoption.py | vault-the/changes | 443 | 6621538 | """Remove RepositoryOption
Revision ID: fe743605e1a
Revises: <PASSWORD>
Create Date: 2014-09-17 15:17:09.925681
"""
# revision identifiers, used by Alembic.
revision = 'fe743605e1a'
down_revision = '<PASSWORD>'
from alembic import op
def upgrade():
op.drop_table('repositoryoption')
def downgrade():
rais... | """Remove RepositoryOption
Revision ID: fe743605e1a
Revises: <PASSWORD>
Create Date: 2014-09-17 15:17:09.925681
"""
# revision identifiers, used by Alembic.
revision = 'fe743605e1a'
down_revision = '<PASSWORD>'
from alembic import op
def upgrade():
op.drop_table('repositoryoption')
def downgrade():
rais... | en | 0.428106 | Remove RepositoryOption Revision ID: fe743605e1a Revises: <PASSWORD> Create Date: 2014-09-17 15:17:09.925681 # revision identifiers, used by Alembic. | 0.925398 | 1 |
my_test/Net.py | RuoyuX-2018/6998DL | 0 | 6621539 | import cv2
import os
import torch
import torchvision
from torchvision import transforms, utils
import matplotlib.pyplot as plt
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
class Net(nn.Module):
def __init__(self):
super(N... | import cv2
import os
import torch
import torchvision
from torchvision import transforms, utils
import matplotlib.pyplot as plt
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
class Net(nn.Module):
def __init__(self):
super(N... | en | 0.298467 | #torch.nn.Linear(4096, 1024), #torch.nn.ReLU(), # training----------------------------- # evaluation-------------------------------- #torch.save(model, "CNN_model") | 2.915636 | 3 |
jurisdictions/canada/can_financial_scrape.py | DiarmuidM/charity-dissolution | 0 | 6621540 | <filename>jurisdictions/canada/can_financial_scrape.py
## Python script to download financial data
## of Canadian charities from the CRA website
# <NAME>, <NAME>
# Created: 17 May 2018
# Last edited: captured in Github file history
import csv
import requests
import os
import os.path
import errno
import zipfile
impor... | <filename>jurisdictions/canada/can_financial_scrape.py
## Python script to download financial data
## of Canadian charities from the CRA website
# <NAME>, <NAME>
# Created: 17 May 2018
# Last edited: captured in Github file history
import csv
import requests
import os
import os.path
import errno
import zipfile
impor... | en | 0.850296 | ## Python script to download financial data ## of Canadian charities from the CRA website # <NAME>, <NAME> # Created: 17 May 2018 # Last edited: captured in Github file history #prob dont need basic info or B #in A need question 2 as it's the dependant - make a note of this in the markdown # grab the links to the sced... | 2.964407 | 3 |
covid/dashboard.py | jgdelrio/covid-data | 0 | 6621541 | import dash
import dash_core_components as dcc
import dash_html_components as html
from covid.data_manager import global_data
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
colors = {
'background': '#111111',
'text':... | import dash
import dash_core_components as dcc
import dash_html_components as html
from covid.data_manager import global_data
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
colors = {
'background': '#111111',
'text':... | en | 0.303264 | Generates an HTML table from a pandas dataframe with the number of rows specified | 2.734759 | 3 |
Action_CNN.py | adewopova/Demonstration-Repo-GAGS | 0 | 6621542 | <reponame>adewopova/Demonstration-Repo-GAGS<filename>Action_CNN.py
#!/usr/bin/env python
# coding: utf-8
# # Training a ConvNet PyTorch
#
# In this notebook, you'll learn how to use the powerful PyTorch framework to specify a conv net architecture and train it on the human action recognition dataset.
#
# In[30]:
... | #!/usr/bin/env python
# coding: utf-8
# # Training a ConvNet PyTorch
#
# In this notebook, you'll learn how to use the powerful PyTorch framework to specify a conv net architecture and train it on the human action recognition dataset.
#
# In[30]:
#ip install -r requirements.txt
# In[1]:
import torch
import t... | en | 0.796817 | #!/usr/bin/env python # coding: utf-8 # # Training a ConvNet PyTorch # # In this notebook, you'll learn how to use the powerful PyTorch framework to specify a conv net architecture and train it on the human action recognition dataset. # # In[30]: #ip install -r requirements.txt # In[1]: # ## What's this PyTorch busines... | 4.100268 | 4 |
djangophysics/units/migrations/0008_auto_20210603_2248.py | fmeurou/django-physics | 1 | 6621543 | <reponame>fmeurou/django-physics
# Generated by Django 3.2.3 on 2021-06-03 22:48
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('units', '0007_customdime... | # Generated by Django 3.2.3 on 2021-06-03 22:48
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('units', '0007_customdimension'),
]
operations = ... | en | 0.876073 | # Generated by Django 3.2.3 on 2021-06-03 22:48 | 1.696179 | 2 |
Lab10/checkpoint5.py | demsks/CSCI2961 | 0 | 6621544 | <filename>Lab10/checkpoint5.py
from pymongo import MongoClient
from random import randint
import datetime
client = MongoClient()
db = client.csci2963
definitions = db.definitions
def random_word_requester():
total = definitions.count()
index = randint(0, total)
target = definitions.find()[index... | <filename>Lab10/checkpoint5.py
from pymongo import MongoClient
from random import randint
import datetime
client = MongoClient()
db = client.csci2963
definitions = db.definitions
def random_word_requester():
total = definitions.count()
index = randint(0, total)
target = definitions.find()[index... | none | 1 | 2.563196 | 3 | |
postpy/ddl.py | portfoliome/pgdabble | 24 | 6621545 | """
ddl.py contains the Data Definition Language for Postgresql Server.
"""
from psycopg2.extensions import AsIs
def compile_qualified_name(table: str, schema='public') -> str:
"""Format table's fully qualified name string."""
return '{}.{}'.format(schema, table)
def compile_create_table(qualified_name: s... | """
ddl.py contains the Data Definition Language for Postgresql Server.
"""
from psycopg2.extensions import AsIs
def compile_qualified_name(table: str, schema='public') -> str:
"""Format table's fully qualified name string."""
return '{}.{}'.format(schema, table)
def compile_create_table(qualified_name: s... | en | 0.526439 | ddl.py contains the Data Definition Language for Postgresql Server. Format table's fully qualified name string. Postgresql Create Table statement formatter. CREATE TABLE {table} ({columns} {primary_keys}); Postgresql Create Temporary Table statement formatter. CREATE TEMPORARY TABLE {table} ({columns} {primary_keys}); ... | 3.050603 | 3 |
use_cases/BBerliner_tests.py | czack425/openc2_schema_tests | 0 | 6621546 | <filename>use_cases/BBerliner_tests.py<gh_stars>0
"""
OpenC2 Profile Use Case Command/Response Pairs from <NAME>
"""
import unittest
from .test_setup import SetupTests, ValidationError
from .utils import check_profiles_skip
profile = "BBerliner"
@unittest.skipIf(check_profiles_skip(profile), f"{profile} Profile tes... | <filename>use_cases/BBerliner_tests.py<gh_stars>0
"""
OpenC2 Profile Use Case Command/Response Pairs from <NAME>
"""
import unittest
from .test_setup import SetupTests, ValidationError
from .utils import check_profiles_skip
profile = "BBerliner"
@unittest.skipIf(check_profiles_skip(profile), f"{profile} Profile tes... | en | 0.628155 | OpenC2 Profile Use Case Command/Response Pairs from <NAME> # Dynamic Validation Variables # Static Validation Functions | 1.814135 | 2 |
RL/DQN/settings.py | ColinFred/Reinforce_Learning_Pytorch | 0 | 6621547 | <filename>RL/DQN/settings.py
# hyper-parameters
MEMORY_CAPACITY = 1000
C = 50
BATCH_SIZE = 32
LR = 0.01
GAMMA = 0.90
EPISILO = 0.9
TEST_EPISODE = 30 | <filename>RL/DQN/settings.py
# hyper-parameters
MEMORY_CAPACITY = 1000
C = 50
BATCH_SIZE = 32
LR = 0.01
GAMMA = 0.90
EPISILO = 0.9
TEST_EPISODE = 30 | fi | 0.260391 | # hyper-parameters | 1.123773 | 1 |
app/migrations/0012_auto_20160315_1419.py | westos007/OMS-1 | 32 | 6621548 | <reponame>westos007/OMS-1
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0011_network'),
]
operations = [
migrations.AlterField(
model_name='network',
... | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app', '0011_network'),
]
operations = [
migrations.AlterField(
model_name='network',
name='info',
... | en | 0.769321 | # -*- coding: utf-8 -*- | 1.516918 | 2 |
evaluate.py | shgoren/ShapeWorld | 1 | 6621549 | <reponame>shgoren/ShapeWorld
import argparse
from datetime import datetime
from importlib import import_module
import json
import os
import sys
from shapeworld import dataset, util
from models.TFMacros.tf_macros import Model
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Evaluate a model... | import argparse
from datetime import datetime
from importlib import import_module
import json
import os
import sys
from shapeworld import dataset, util
from models.TFMacros.tf_macros import Model
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Evaluate a model')
parser.add_argument('... | en | 0.419457 | # import tensorflow # dataset # information about dataset and model # restore # no input tensors, hence None for placeholder creation # else: # training # if args.verbosity >= 1: # sys.stdout.write('{} train model...\n'.format(datetime.now().strftime('%H:%M:%S'))) # sys.stdout.flush() # before ... | 2.164194 | 2 |
autoflow/feature_engineer/text/topic/lda.py | auto-flow/autoflow | 49 | 6621550 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : <NAME>
# @Contact : <EMAIL>
from autoflow.feature_engineer.text.topic.base import BaseGensim
import numpy as np
class LdaTransformer(BaseGensim):
def __init__(self, num_topics=100, chunksize=2000, passes=1, update_every=1, alpha='symmetric',
... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : <NAME>
# @Contact : <EMAIL>
from autoflow.feature_engineer.text.topic.base import BaseGensim
import numpy as np
class LdaTransformer(BaseGensim):
def __init__(self, num_topics=100, chunksize=2000, passes=1, update_every=1, alpha='symmetric',
... | fr | 0.289745 | #!/usr/bin/env python # -*- coding: utf-8 -*- # @Author : <NAME> # @Contact : <EMAIL> | 2.332128 | 2 |