max_stars_repo_path stringlengths 3 269 | max_stars_repo_name stringlengths 4 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.05M | score float64 0.23 5.13 | int_score int64 0 5 |
|---|---|---|---|---|---|---|
osm_adaptor.py | nooneisperfect/ReadYourMAPFile | 0 | 12797451 | #!/usr/bin/env python
#******************************************************************************
# From $Id: gdal2tiles.py 19288 2010-04-02 18:36:17Z rouault $
# VERSION MODIFIED FROM ORIGINAL, come with no warranty
# <NAME>
# input: vrt file (-addalpha) in 3857 projection (projection is forced due
# to weird effe... | 2.484375 | 2 |
src/admin.py | erastusnzula/Django-ecommerce | 0 | 12797452 | from django.contrib import admin
from django.utils.html import format_html
# from django.contrib.auth.models import Group
from .models import Product, CartProduct, Order, Address, Payment, Coupon, Refund, Setting, ProductImages, Profile, \
Contact, Category, Size
# admin.site.unregister(Group)
class ProductI... | 1.890625 | 2 |
pinax/stripe/migrations/0001_initial.py | bonidjukic/pinax-stripe | 0 | 12797453 | <reponame>bonidjukic/pinax-stripe
# -*- coding: utf-8 -*-
# Generated by Django 1.11.8 on 2018-08-06 19:00
from __future__ import unicode_literals
from decimal import Decimal
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import j... | 1.554688 | 2 |
src/generators/adasyn.py | Arzik1987/prelim | 2 | 12797454 | <reponame>Arzik1987/prelim
import numpy as np
from imblearn.over_sampling import ADASYN
import warnings
from src.generators.rand import Gen_randu
class Gen_adasyn:
def __init__(self):
self.X_ = None
self.mname_ = "adasyn"
def fit(self, X, y=None, metamodel=None):
self.X_ = X.copy()
... | 2.375 | 2 |
static/random_initializer.py | ajayKumar99/Dog-Breed-Classifier | 1 | 12797455 | <gh_stars>1-10
import random
def initializer():
i = random.randint(0 , 119)
while True:
j = random.randint(0 , 119)
if i != j:
break
while True:
z = random.randint(0 , 119)
if z != i and z != j:
break
k = random.randint(0 ,2)
while True:
... | 2.703125 | 3 |
result_generator/result_feature_db/index_sift_color.py | shijack/feature_extract | 1 | 12797456 | # coding=utf-8
import os
import shutil
import time
def get_dirs_child(path):
return [os.path.join(path, f) for f in os.listdir(path)]
def get_all_files_suffix(path, file_suffix='.jpg'):
all_file = []
for dirpath, dirnames, filenames in os.walk(path):
for name in filenames:
if name.en... | 2.78125 | 3 |
tree-walk.py | rabindra-harlalka/my-programs | 0 | 12797457 | from typing import Callable
from queue import Queue
"""A type of depth-first walk of a tree (parent, left, right)"""
def pre_order_walk(node, result: list, left: Callable, right: Callable, parent: Callable):
if node is not None:
result.append(node)
if left(node) is not None:
pre_order_w... | 3.984375 | 4 |
polymath/srdfg/templates/template_utils.py | lite-david/polymath | 15 | 12797458 | <reponame>lite-david/polymath
import polymath as pm
import numpy as np
def format_idx(x, reverse=True):
if reverse:
return tuple(list(reversed(x)))
else:
return tuple(x)
def _get_indices(node, all_indices, tgt_shape):
indices = []
if node.shape == pm.DEFAULT_SHAPES[0]:
return ... | 2.65625 | 3 |
src/my_tools/second_module.py | hyeonukbhin/template_repository | 0 | 12797459 | #!/usr/bin/python3.5
# -*- coding: utf-8 -*-
import os
import sys
EXE_PATH = os.getcwd() # 실행 경로
SCRIPT_PATH = os.path.dirname(os.path.abspath(__file__)) # 스크립트 경로
UPPER_PATH = os.path.dirname(os.path.abspath(os.path.dirname(__file__))) # 상위 경로
sys.path.append(UPPER_PATH) # 상위 경로를 추가
from my_tools import first_mo... | 2.96875 | 3 |
vagga2lithos/lithos.py | tailhook/vagga2lithos | 5 | 12797460 | <gh_stars>1-10
import yaml
try:
from yaml import CSafeDumper as BaseDumper
from yaml import CSafeLoader as BaseLoader
except ImportError:
from yaml import SafeDumper as BaseDumper
from yaml import SafeLoader as BaseLoader
class Dumper(BaseDumper):
def statedir_repr(self, value):
return s... | 2.25 | 2 |
src/vispy_radar_scenes/settings.py | henriksod/vispy_radar_scenes | 2 | 12797461 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Settings dataclass. Holds settings for the visualization tool during runtime.
"""
from dataclasses import dataclass
@dataclass
class Settings:
program_title: str = "Radar Data Viewer"
dark_mode: bool = True
dark_stylesheet: str = ":/dark/stylesheet.qss"
... | 2.125 | 2 |
src/winograd_collection_manipulation/wsc_json_handler.py | gabimelo/portuguese_wsc | 6 | 12797462 | <filename>src/winograd_collection_manipulation/wsc_json_handler.py<gh_stars>1-10
import json
import pandas as pd
from src.helpers.consts import WINOGRAD_SCHEMAS_FILE, WINOGRAD_SCHEMAS_ORIGINAL_FILE
def generate_df_from_original_json():
with open(WINOGRAD_SCHEMAS_ORIGINAL_FILE, 'r', encoding='utf-8') as fp:
... | 2.71875 | 3 |
globmatinterpret.py | DonHaul/MultiCamCalAruco | 1 | 12797463 |
import sys, os
sys.path.append('./libs')
import numpy as np
import scipy.io
from libs import *
import matlab.engine
import numpy as np
import scipy.io
def CalculateGlobICP():
eng = matlab.engine.start_matlab()
#create a list of numpy arrays
#50
eng.globalProcrustesWrapper(modelpc... | 2.1875 | 2 |
Lulz.py | kami4/Lulz.pl | 0 | 12797464 | <gh_stars>0
import urllib2
import sys
import threading
import random
import re
#global params
url=''
host=''
headers_useragents=[]
headers_referers=[]
request_counter=0
flag=0
safe=0
def inc_counter():
global request_counter
request_counter+=1
def set_flag(val):
global flag
flag=val
def s... | 2.421875 | 2 |
extract.py | hiddeottens/shopify-scraper | 0 | 12797465 | path = './stores.csv'
import pandas as pd
from shopify import extract_products_json
result = ''
with open(path) as csvfile:
df = pd.read_csv(csvfile)
url = df['url']
products = extract_products_json(url)
print(products) | 2.6875 | 3 |
app/models.py | marintsev/sputniktests | 27 | 12797466 | <reponame>marintsev/sputniktests
#!/usr/bin/python
# Copyright 2009 the Sputnik authors. All rights reserved.
# This code is governed by the BSD license found in the LICENSE file.
from google.appengine.ext import db
import cStringIO
_ESCAPEES = {
'"': '\\"',
'\\': '\\\\',
'\b': '\\b',
'\f': '\\f',
'\n': ... | 2.140625 | 2 |
setup.py | Mayukhdeb/taming-transformers | 0 | 12797467 | from setuptools import setup, find_packages
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name='taming-transformers',
version='0.0.1-eden',
description='Taming Transformers for High-Resolution Image Synthesis',
packages=find_packages(),
include_package_data=True,
... | 1.304688 | 1 |
skbio/stats/distance/_anosim.py | JWDebelius/scikit-bio | 0 | 12797468 | #! /usr/bin/env python
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# --------------------... | 2.609375 | 3 |
project_template/project_main_app/__init__.py | mciucu/manage-stem-app | 1 | 12797469 | <filename>project_template/project_main_app/__init__.py
default_app_config = "{{ project_main_app}}.apps.MainAppConfig"
| 1.15625 | 1 |
singlesiding/pyside.py | ewerybody/siding | 0 | 12797470 | <reponame>ewerybody/siding<gh_stars>0
"""
singlesiding supports PySide2 and 6 but needs to adapt to whats
already imported NOT whats available! Thus we deal with it here.
"""
import sys
if 'PySide6' in sys.modules:
from PySide6 import QtCore, QtWidgets, QtNetwork
elif 'PySide2' in sys.modules:
from PySide2 imp... | 1.492188 | 1 |
extract_table/textract_all.py | shaoyuliusz/faculty_salary | 0 | 12797471 | <gh_stars>0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas as pd
import os
import time
import glob
import sys
import textract_python_table_parser as tptp
'''
File name: testract_all.py
Author: <NAME>
Date created: 12/08/2021
Python Version: 3.9
'''
#change to the directory
#cd /Users/appl... | 2.90625 | 3 |
build/lib/abp/adaptives/a3c/__init__.py | LinearZoetrope/abp | 0 | 12797472 | <reponame>LinearZoetrope/abp<filename>build/lib/abp/adaptives/a3c/__init__.py
from .adaptive import A2CAdaptive
| 1 | 1 |
SentiNews.py | simplesaad/SentiNews | 0 | 12797473 | import requests
from bs4 import BeautifulSoup
from selenium import webdriver
import time
import pandas as pd
import numpy as np
from datetime import datetime
from textblob import TextBlob
page = requests.get('https://qz.com/india/latest')
soup = BeautifulSoup(page.content, 'html.parser')
weblinks = soup.find_all('... | 3.296875 | 3 |
leetcode/188 best-time-to-buy-and-sell-stock-iv.py | xiewendan/algorithm | 0 | 12797474 | # -*- coding: utf-8 -*-
# __author__ = xiaobao
# __date__ = 2019/11/13 12:39:48
# desc: desc
# 给定一个数组，它的第 i 个元素是一支给定的股票在第 i 天的价格。
# 设计一个算法来计算你所能获取的最大利润。你最多可以完成 k 笔交易。
# 注意: 你不能同时参与多笔交易（你必须在再次购买前出售掉之前的股票）。
# 示例 1:
# 输入: [2,4,1], k = 2
# 输出: 2
# 解释: 在第 1 天 (股票价格 = 2) 的时候买入，在第 2 天 (股票价格 = 4) 的时候卖出，这笔交易所能获得利润 = 4-2 ... | 3.59375 | 4 |
LogicPy/__init__.py | Sunillad08/Digital_logic | 6 | 12797475 | <filename>LogicPy/__init__.py
import LogicPy.main_functions as main_functions
import LogicPy.conversion as conversion
import LogicPy.gates as gates
import LogicPy.flipflops as flipflops
import LogicPy.combination_logic as combination_logic
import LogicPy.display_terminals as display_terminals
import LogicPy.arithematic... | 1.195313 | 1 |
Network Simulations/Assignment 1/dataGenerator.py | neeladripal/bcse-lab | 0 | 12797476 | <reponame>neeladripal/bcse-lab
import random
# generate a random binary string
def generateMessage (size):
message = ''
for count in range(size):
message += str(random.randint(0,1))
return message
n = 32 * 10000 # size of data
file = open("testdata.txt", "w")
file.write(generateMessage(n))... | 3.046875 | 3 |
tags_to_sha.py | karajan1001/dvc-bench | 0 | 12797477 | <gh_stars>0
import os
from git import Repo
def convert_to_sha(tags_filename="tags.txt", hashes_filename="hashes.txt"):
tags = []
with open(tags_filename, "r") as fobj:
tags.extend([l.strip() for l in fobj.readlines()])
git_repo = Repo("dvc")
hashes = [git_repo.commit(t).hexsha + os.linesep f... | 3.0625 | 3 |
pycomlink/core/__init__.py | jpolz/pycomlink | 1 | 12797478 | from __future__ import absolute_import
from .comlink_channel import ComlinkChannel
from .comlink import Comlink
| 1.0625 | 1 |
telegram_repository/utility.py | clement0010/eusoff-cca-bot | 0 | 12797479 | from spreadsheet.utility import get_user_ccas, is_registered, register_user
from telegram import InlineKeyboardButton, InlineKeyboardMarkup
from telegram.ext import ConversationHandler
import logging
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO)
logger = l... | 2.734375 | 3 |
bglib/kvui/rootwidget.py | dheller1/bglib | 0 | 12797480 | <gh_stars>0
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
class RootWidget(FloatLayout):
def __init__(self, **kwargs):
super().__init__(**kwargs)
| 2.015625 | 2 |
modules/FileManager.py | leeyongjoo/algorithm-problem-automation | 0 | 12797481 | <reponame>leeyongjoo/algorithm-problem-automation<gh_stars>0
from pathlib import Path
from modules.languages import get_extension
import os.path
from re import sub
# 상위 디렉토리 경로
BASE_DIR = Path(__file__).resolve(strict=True).parent.parent
class FileManager(object):
default_dir = '_downloads' # 파일을 저장할 기본 디렉토리
... | 2.734375 | 3 |
crawler/house_renting/settings.py | bernssolg/house-renting-master | 823 | 12797482 | <gh_stars>100-1000
# -*- coding: utf-8 -*-
from house_renting.spider_settings import lianjia, a58
BOT_NAME = 'house_renting'
COMMANDS_MODULE = 'house_renting.commands'
SPIDER_MODULES = ['house_renting.spiders']
NEWSPIDER_MODULE = 'house_renting.spiders'
USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) A... | 1.53125 | 2 |
proteinham/lattice/turn_circuit.py | couteiral/proteinham | 0 | 12797483 | <filename>proteinham/lattice/turn_circuit.py
import math
import numpy as np
import sympy as sp
import symengine as se
from abc import *
from tqdm import tqdm, trange
from copy import deepcopy
from itertools import chain
from functools import reduce
from .qlogic import *
from proteinham.core.hamiltonian import Hamilton... | 2.359375 | 2 |
films/migrations/0001_initial.py | LucaAlexandru/MediaTracker | 0 | 12797484 | # Generated by Django 3.2.4 on 2021-10-11 10:34
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 1.859375 | 2 |
oculy/plotting/plots/axes.py | MatthieuDartiailh/oculy | 0 | 12797485 | <gh_stars>0
# --------------------------------------------------------------------------------------
# Copyright 2020-2021 by Oculy Authors, see git history for more details.
#
# Distributed under the terms of the BSD license.
#
# The full license is in the file LICENCE, distributed with this software.
# --------------... | 2.125 | 2 |
python_obfuscator/helpers/__init__.py | gjp4tw/python-obfuscator | 61 | 12797486 | from .variable_name_generator import VariableNameGenerator
from .random_datatype import RandomDataTypeGenerator
| 1.179688 | 1 |
iris/services/node.py | kpanic/lymph | 0 | 12797487 | import json
import logging
import gevent
import os
import psutil
import six
from gevent import subprocess
from six.moves import range
from iris.core.interfaces import Interface
from iris.utils.sockets import create_socket
logger = logging.getLogger(__name__)
class Process(object):
def __init__(self, cmd, env=N... | 2.046875 | 2 |
pyqt_demo/test1.py | yzwxx/Label_Lab | 0 | 12797488 | <reponame>yzwxx/Label_Lab<gh_stars>0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
a window with menu bar and tool bar
QAction with addAction for event handling(setting hot keys,showing status tip)
set window icon
'''
import os
from os.path import join
import sys
from PyQt4 import QtGui,QtCore
icon_path = join(o... | 2.484375 | 2 |
python_submission/707.design-linked-list.199616840.notac.py | stavanmehta/leetcode | 0 | 12797489 | <filename>python_submission/707.design-linked-list.199616840.notac.py
class Node(object):
def __init__(self, value, nextNode=None):
self.val = value
self.next = nextNode
class MyLinkedList(object):
def __init__(self):
"""
Initialize your data structure here.
"""
... | 4.1875 | 4 |
commons.py | projectcuisines/gcm_ana | 1 | 12797490 | <reponame>projectcuisines/gcm_ana<filename>commons.py<gh_stars>1-10
# -*- coding: utf-8 -*-
"""Definitions and objects commonly used between scripts."""
MODELS = {
"ExoCAM": {
"title": "ExoCAM",
"color": "tab:blue",
},
"LMDG": {
"title": "LMD-G",
"color": "tab:red",
},
... | 1.460938 | 1 |
main.py | MikhSol/monte_carlo_simulation_of_pi | 0 | 12797491 | <gh_stars>0
from random import random
import time
import logging
import matplotlib.pyplot as plt
logger = logging.getLogger()
logging.basicConfig(level=logging.INFO)
def estimate_pi(trials):
start = time.process_time()
count = 0
for _ in range(trials + 1):
x, y = random(), random()
if x *... | 3.0625 | 3 |
benchmark/models.py | ens-lgil/PGS_Catalog | 1 | 12797492 | <filename>benchmark/models.py
from django.db import models
from django.conf import settings
from django.core.validators import MaxValueValidator, MinValueValidator
from django.contrib.postgres.fields import DecimalRangeField
class BM_Coding(models.Model):
"""Class to describe the International Classification of D... | 2.359375 | 2 |
dataset.py | sehandev/transformer-pytorch | 0 | 12797493 | # Standard
# PIP
from torch.utils.data import DataLoader
from pytorch_lightning import LightningDataModule
from torchtext.datasets import WikiText2
# Custom
class CustomDataModule(LightningDataModule):
def __init__(
self,
batch_size=1,
num_workers=0,
):
super().__init__()
... | 2.671875 | 3 |
test/test_field.py | aimagelab/speaksee | 29 | 12797494 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
import speaksee.data as data
import numpy as np
import torch
'''class TestImageField(object):
def test_preprocessing(self):
field = data.ImageField()
image = ''
expected_image = ''
assert field.preproce... | 2.8125 | 3 |
swc-api/config.py | aehaynes/btcpokerstats | 0 | 12797495 | <gh_stars>0
SWC_USERNAME = ['Irresonsibl','Irrsponsible', 'Irresponsibl']
SWC_PASSWORD = '<PASSWORD>'
SLEEP_MILLISECONDS = 750
GET_SESSION_URL = 'https://sealswithclubs.eu/sealsloginhandler.php?login=X&JSON=1&Version=v0.2.18'
USER_AGENT_STR = 'python-requests/1.1.0 CPython/2.7.3 Windows/7'
SERVICE_URL = 'sealswithclubs... | 1.632813 | 2 |
merkle.py | makiolo/root_merkle_tree | 2 | 12797496 | <filename>merkle.py<gh_stars>1-10
'''
Generate root merkle tree hash in python.
I use https://github.com/bitcoin/bitcoin as reference:
BlockBuildMerkleTree --> Satoshi implmentation
BlockMerkleRoot ---> new bitcoin core implementation
'''
import pandas as pd
from hashlib import sha256
from io import StringIO... | 2.640625 | 3 |
astro345_fall2015/astro345_hw12.py | johnnydevriese/wsu_courses | 0 | 12797497 | <filename>astro345_fall2015/astro345_hw12.py
import matplotlib.pyplot as plt
from pylab import *
def moon(x):
P = 3340 * 1.622 * x
return P
def mars(x):
P = 3930 * 3.711 * x
return P
def earth(x):
P = 5510 * 9.807 * x
return P
def jupiter(x):
P = 1330 * 24.79 * x
return P
def f(x):
P =... | 3.25 | 3 |
solutions/0279.Perfect_Squares/python_solution.py | garyzccisme/leetcode | 2 | 12797498 | # DP
class Solution:
def numSquares(self, n: int) -> int:
squares = [x ** 2 for x in range(1, int(n ** 0.5) + 1)]
dp = [0] + [float('inf')] * n
for i in range(1, n + 1):
for square in squares:
if i < square:
break
dp[i] = min(... | 3.09375 | 3 |
codigo_das_aulas/aula_10/aula_10_08.py | VeirichR/curso-python-selenium | 234 | 12797499 | <reponame>VeirichR/curso-python-selenium<filename>codigo_das_aulas/aula_10/aula_10_08.py
from selenium.webdriver import Firefox
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.expected_conditions import (
url_contains,
url_matches
)
url = 'https://selenium.dunossauro.live... | 2.703125 | 3 |
LexData/utils.py | CedricTarbouriech/LexData | 16 | 12797500 | import functools
import json
from datetime import datetime
from typing import Any, Dict
from .wikidatasession import WikidataSession
@functools.lru_cache()
def getPropertyType(propertyId: str):
repo = WikidataSession()
query = {
"action": "query",
"format": "json",
"prop": "revisions"... | 2.484375 | 2 |
example_xva_v2.py | kwchau/sgbm_xva | 6 | 12797501 | <gh_stars>1-10
"""
Created on Mon May 14 17:21:26 2018
@author: <NAME>
This file holds the parameters for all specific example and the numerical scheme
for the BSDE.
.. todo:: Moving the numerical scheme to the function file
"""
import numpy as np
class GermenIndexPut():
# Example Information
name = "Put op... | 2.46875 | 2 |
proxmoxmanager/utils/classes/containers.py | igorlitvak/proxmoxmanager | 0 | 12797502 | from ..api import APIWrapper
from .nodes import ProxmoxNode, ProxmoxNodeDict
from .users import ProxmoxUser
from typing import Dict, List, Tuple, Any, Union
class ProxmoxContainer:
def __init__(self, api: APIWrapper, vmid: str, node: str):
self._api = api
self._vmid = vmid
self._node = nod... | 2.328125 | 2 |
1-6 Algorithmic Toolbox/Week 6/6-3 placing_parentheses.py | MLunov/Data-Structures-and-Algorithms-Specialization-San-Diego-HSE | 0 | 12797503 | # Uses python3
def evalt(a, b, op):
if op == '+':
return a + b
elif op == '-':
return a - b
elif op == '*':
return a * b
else:
assert False
def MinAndMax(i, j):
MIN = float('inf')
MAX = float('-inf')
for k in range(i, j):
a = evalt(M[i][k], M[k + 1]... | 3.15625 | 3 |
nfl/espn.py | sansbacon/nfl | 2 | 12797504 | """
# espn.py
# classes for scraping, parsing espn football data
# this does include some basic fantasy data
# espn_fantasy is mostly about managing fantasy teams
# NOTE: trouble accessing data in offseason
# will have to revisit this module as season approaches
"""
import logging
import re
from bs4 import Beautif... | 3.15625 | 3 |
IronManFly/storage/db/db.py | leepand/IronManFly | 599 | 12797505 | <filename>IronManFly/storage/db/db.py
import threading
import glob
import gzip
try:
from StringIO import StringIO # Python 2.7
except:
from io import StringIO # Python 3.3+
import uuid
import re
import os
import sys
from collections import defaultdict
import pandas as pd
import pybars
from .column import Co... | 2.09375 | 2 |
app/src/config.py | LucasLaibly/Intrusion | 0 | 12797506 | <reponame>LucasLaibly/Intrusion
class Development(object):
DEBUG: True
class Testing(object):
DEBUG: False
class Production(object):
DEBUG: False
| 1.625 | 2 |
backend/db/entities/commited/base.py | R-N/sistem_gaji_vue_thrift | 0 | 12797507 | from sqlalchemy import MetaData
from sqlalchemy.ext.declarative import declarative_base
DbCommitedEntity = declarative_base(metadata=MetaData(schema="commited")) | 1.828125 | 2 |
src/models/lstm_selfattention_embedding.py | okason97/STONK | 2 | 12797508 | <gh_stars>1-10
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow.keras import Model, Sequential
from tensorflow.keras.layers import Activation, Layer, Dense, Conv1D, BatchNormalization, Dropout, LayerNormalization, LSTM, Embedding, Bidirectional
import numpy as np
def scaled_dot_product_atte... | 2.140625 | 2 |
analyze.py | DMinghao/FreelancerJobAnalysis | 2 | 12797509 | import pandas as pd
import numpy as np
import nltk
nltk.download('punkt')
import os
import nltk.corpus
from nltk.probability import FreqDist
from nltk.tokenize import word_tokenize
# read result
result = pd.read_csv("result.csv")
Tags = result["Tag"]
print(Tags)
allTag = ""
for row in result.index:
allTag = a... | 3.109375 | 3 |
web/pubmed_reader.py | BioSystemsUM/biotmpy | 13 | 12797510 | <filename>web/pubmed_reader.py
from Bio.Entrez import efetch, read
from Bio import Entrez
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(__file__)))
import nltk
from data_structures.document import Document
from data_structures.sentence import Sentence
from data_structures.token import Token
from ... | 2.421875 | 2 |
qiradb/qiradb/__init__.py | pAplakidis/qira | 0 | 12797511 | <filename>qiradb/qiradb/__init__.py
from qiradb._qiradb import *
| 1.179688 | 1 |
common/utils/api_utils.py | hvsuchitra/tv_tracker | 0 | 12797512 | <gh_stars>0
import requests
import requests_cache
# path when running from gui
requests_cache.install_cache(cache_name='../common/cache/api', backend='sqlite', expire_after=86400)
# requests_cache.install_cache(cache_name='../../common/cache/api', backend='sqlite', expire_after=86400)
resource_base_url = 'https://t... | 2.484375 | 2 |
setup.py | LaCiberReserva/api-python-sdk | 6 | 12797513 | from setuptools import setup, find_packages
setup(
name='blueliv-python-sdk',
version='2.3.0',
description='Blueliv API SDK for Python',
url='https://github.com/Blueliv/api-python-sdk',
author='Blueliv',
author_email='<EMAIL>',
license='MIT',
classifiers=[
'Development Status ::... | 1.273438 | 1 |
sample_equations.py | lsDantas/Numerical-Analysis | 0 | 12797514 | # Sample Equations
#
# Description: Sample functions (and their derivatives)
# to be used with the root-finding algorithms.
#
#Equation 1
def eq1(x):
return x**5 - 5*x + 1
def eq1_d(x):
return 5*(x**4) - 5
# Equation 2
def eq2(x):
return (pow(x, 2) - 4)
def eq2_d(x):
return 2*x | 3.6875 | 4 |
bucky/util/power_transforms.py | hanijames/bucky | 0 | 12797515 | <filename>bucky/util/power_transforms.py
"""Simple power transformation classes."""
# pylint: disable=unused-variable
from ..numerical_libs import sync_numerical_libs, xp
# TODO this could be better organized...
@sync_numerical_libs
def yeojohnson(y, lam):
"""Yeo-Johnson tranform, batched in the first dimension... | 2.265625 | 2 |
dztools/DZtools.py | kurtsundell/DZtools | 1 | 12797516 | import sys
#import argparse
import pandas as pd
import matplotlib.pyplot as plt
from dztools.stats.intersample import intersample
from dztools.utils.makeplots import makeplots
xmin = 1 # define lower limit for probability density plots (PDPs) and kernel density estimates (KDEs) and all plots
xmax = 4000 #upper limit... | 2.546875 | 3 |
opem/Test/test_Padulles_Amphlett.py | Martenet/opem | 173 | 12797517 | # -*- coding: utf-8 -*-
'''
>>> from opem.Dynamic.Padulles_Amphlett import *
>>> import shutil
>>> Test_Vector={"A":50.6,"l":0.0178,"lambda":23,"JMax":1.5,"T":343,"N0":5,"KO2":0.0000211,"KH2":0.0000422,"KH2O":0.000007716,"tH2":3.37,"tO2":6.74,"t1":2,"t2":2,"tH2O":18.418,"rho":1.168,"qMethanol":0.0002,"CV":2,"i-start":0... | 1.992188 | 2 |
mlld_functions.py | mdastro/My_Package | 0 | 12797518 | import numpy as np
"""
:param MLLD_functions: this class has several functions that are usually used by myself.
"""
class MLLD_functions:
def standardization(self, variable):
"""
:param variable: the array with the variables you wish to standardize
:return: standardized array
"""
... | 3.5625 | 4 |
nlidbTranslator/api/adapters/editsql/editsql_adapter.py | DataManagementLab/univerSQL | 0 | 12797519 | import random
import time
from pathlib import Path
import numpy as np
import json
import torch
from editsql.data_util import atis_batch
from editsql.data_util.atis_data import ATISDataset
from editsql.data_util.interaction import load_function
from editsql.model import model, utils_bert
from editsql.model.schema_inte... | 2.375 | 2 |
tests/r/test_rep_vict.py | hajime9652/observations | 199 | 12797520 | <filename>tests/r/test_rep_vict.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.rep_vict import rep_vict
def test_rep_vict():
"""Test module rep_vict.py by downloading
rep_vict.csv and t... | 2.421875 | 2 |
fairness/algorithms/zafar/fair-classification-master/disparate_impact/synthetic_data_demo/fairness_acc_tradeoff.py | yashwarlord/fairness-comparison | 146 | 12797521 | <reponame>yashwarlord/fairness-comparison
import os,sys
import numpy as np
from generate_synthetic_data import *
sys.path.insert(0, '../../fair_classification/') # the code for fair classification is in this directory
import utils as ut
import loss_funcs as lf # loss funcs that can be optimized subject to various const... | 2.84375 | 3 |
revivesocialmedia/revivesocialmedia.py | MSAdministrator/revive-social-media | 0 | 12797522 | <gh_stars>0
from .opensourceprojects import OpenSourceProjects
from .blogposts import BlogPosts
from .posttweet import PostTweet
from .postlinkedin import PostLinkedIn
class ReviveSocialMedia:
_OSS_MESSAGE = 'OSS Project: {name} is {description}. Check it out! {url} #reviveposts'
_BLOG_MESSAGE = 'Blog Post: ... | 2.578125 | 3 |
test_tools/simgen_ta.py | mpastyl/Arctium | 0 | 12797523 | #!/usr/bin/env python2.7
import sys
import argparse
import traceback
ap = argparse.ArgumentParser(description='Simulation generator')
ap.add_argument('--basepath', required=False, default="../..",
help='Base path')
ap.add_argument('-c', '--config', required=False, default="params.py",
... | 1.929688 | 2 |
lib/core/function.py | AIprogrammer/AdvMix | 11 | 12797524 | <gh_stars>10-100
# ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by <NAME> (<EMAIL>)
# ------------------------------------------------------------------------------
from __future__ import absolute_import
from... | 1.742188 | 2 |
web/migrations/0002_account_userlink_userpreferences.py | Migueltorresp/frgl | 1 | 12797525 | <filename>web/migrations/0002_account_userlink_userpreferences.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
from django.conf import settings
import django.core.validators
class Migration(migrations.Migration):
depend... | 1.828125 | 2 |
tyrannosaurus/sync.py | kenyon/tyrannosaurus | 0 | 12797526 | <filename>tyrannosaurus/sync.py
"""
Sync tool.
"""
from __future__ import annotations
import logging
from pathlib import Path
from typing import Sequence, Mapping
from tyrannosaurus.context import _Context
logger = logging.getLogger(__package__)
class Sync:
def __init__(self, context: _Context, dry_run: bool):... | 2.515625 | 3 |
examples/poisson/simulation.py | AbhilashReddyM/flowX | 0 | 12797527 | """User defined module for simulation."""
import numpy
def get_analytical(grid, asol, user_bc):
"""Compute and set the analytical solution.
Arguments
---------
grid : flowx.Grid object
Grid containing data.
asol : string
Name of the variable on the grid.
"""
X, Y = numpy... | 3.3125 | 3 |
python/hello-python.py | bobby-web/programlang | 0 | 12797528 | print("Hllo World") | 1.179688 | 1 |
rNet.py | ZigaSajovic/rNet | 11 | 12797529 | <filename>rNet.py<gh_stars>10-100
import numpy as np
class tanh:
def __call__(self, input):
return np.tanh(input)
def d(self, input):
return 1 - input * input
class sigmoid:
def __call__(self, input):
return 1 / (1 + np.exp(-input))
def d(self, input):
return input ... | 2.921875 | 3 |
Tree/identicalTree.py | jainanisha90/codepath_interviewBit | 0 | 12797530 | # Definition for a binary tree node
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
# @param A : root node of tree
# @param B : root node of tree
# @return an integer
def isSameTree(self, A, B):
if A is None and... | 3.96875 | 4 |
mapperpy/exceptions.py | cohirer2019/MapperPy | 2 | 12797531 | <filename>mapperpy/exceptions.py
__author__ = 'lgrech'
class ConfigurationException(Exception):
pass
| 1.34375 | 1 |
app/imr/scrapyard.py | DarkMaguz/IMR-ReportGenerator | 0 | 12797532 | <filename>app/imr/scrapyard.py
import pikepdf
import PyPDF2
# excelFileList = getExcelFiles()
# print(getURLsFromExcelFile(excelFileList[0]))
# info = downloadFile(
# "http://arpeissig.at/wp-content/uploads/2016/02/D7_NHB_ARP_Final_2.pdf")
#
# dlReports = [info]
def validatePDF(filePath):
#print('validatePDF: ',... | 2.578125 | 3 |
pipeline/feature_engineering/preprocessing/sussex_huawei_preprocessor.py | lorenz0890/road_condition_classification | 0 | 12797533 | from pipeline.feature_engineering.preprocessing.abstract_preprocessor import Preprocessor
from pipeline.feature_engineering.preprocessing.replacement_strategies.mean_replacement_strategy import MeanReplacementStrategy
from pipeline.feature_engineering.preprocessing.replacement_strategies.del_row_replacement_strategy im... | 2.6875 | 3 |
f1_telemetry/data/structs.py | pahansen/f1-2021-telemetry-dashboard | 1 | 12797534 | """Struct classes for car telemetry. Classes parse data from binary format and extract player data."""
import struct
import ctypes
from dataclasses import dataclass, asdict
from typing import List
PACKET_HEADER_FORMAT = "<HBBBBQfLBB"
PACKET_CAR_TELEMETRY_DATA_FORMAT = "BBb"
CAR_TELEMETRY_DATA_FORMAT = "HfffBbHBBHHHHHB... | 2.9375 | 3 |
src/trace_set/transform.py | ccberg/LA | 1 | 12797535 | <filename>src/trace_set/transform.py
import numpy as np
from src.dlla.hw import prepare_traces_dl
from tensorflow.python.keras.utils.np_utils import to_categorical
# TODO replace with mlp_hw notebook variants
from src.tools.dl import encode
from src.tools.la import balance
from src.trace_set.database import Database
... | 2.234375 | 2 |
app/api/index.py | awtkns/openapi-perf-action | 0 | 12797536 | import os
from fastapi import FastAPI, HTTPException
from github3.exceptions import NotFoundError, ForbiddenError
from github3.github import GitHub
from github3.pulls import PullRequest
from pydantic import BaseModel
GITHUB_PRIVATE_KEY = os.environ.get('APP_PRIVATE_KEY', None)
GITHUB_APP_IDENTIFIER = os.environ.get('... | 2.21875 | 2 |
ml_scraping/src/NLTK/tutorial/lemmatizing.py | josetorrs/thee-flying-chicken | 2 | 12797537 | from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()
'''
print(lemmatizer.lemmatize("cacti"))
print(lemmatizer.lemmatize("geese"))
print(lemmatizer.lemmatize("rocks"))
print(lemmatizer.lemmatize("python"))
'''
#default pos="n"(noun)
#"a" = adjective, "v" = verb
#lemmas give back actual words, usual... | 3.4375 | 3 |
portfolio/models.py | Marcos8060/Django-Gallery-Website | 0 | 12797538 | from django.urls import reverse
from django.db import models
# Create your models here
class Location(models.Model):
name = models.CharField(max_length=60)
def __str__(self):
return self.name
class Category(models.Model):
name = models.CharField(max_length=200)
slug = models.SlugField(uniqu... | 2.609375 | 3 |
diplomacy_research/models/datasets/feedable_dataset.py | wwongkamjan/dipnet_press | 39 | 12797539 | <filename>diplomacy_research/models/datasets/feedable_dataset.py
# ==============================================================================
# Copyright 2019 - <NAME>
#
# NOTICE: Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (t... | 2.03125 | 2 |
Image/Analysis.py | fox-ahri/image | 0 | 12797540 | from PIL import ImageFont
def analysis(obj):
params = dict()
params['size'] = size(obj)
params['rgb'] = color(obj)
params['lines'] = line(obj)
params['ellipses'] = ellipse_and_rectangle(obj, 'ellipses')
params['rectangles'] = ellipse_and_rectangle(obj, 'rectangles')
params['texts'] = text(... | 2.875 | 3 |
pythonoffice/ppt_get.py | YEZHIAN1996/pythonstudy | 1 | 12797541 | <filename>pythonoffice/ppt_get.py<gh_stars>1-10
from pptx import Presentation
p = Presentation('a.pptx')
for slide in p.slides:
for shape in slide.shapes:
if shape.has_text_frame:
print(shape.text_frame.text)
if shape.has_table:
for cell in shape.table.iter_cells():
... | 2.953125 | 3 |
old_code/datawrangle.py | Napam/Stockybocky | 2 | 12797542 | '''Combines oslo bors and yahoo data'''
import numpy as np
import pandas as pd
from pprint import pprint
import scrapeconfig as cng
def merge_bors_and_yahoo_dfs(bors_name: str, yahoo_name: str, result_filename: str):
'''
Get filenames for csv files from Oslo Bors and Yahoo Finance and merges them
... | 3.0625 | 3 |
co-occurrence_matrix.py | fanglala997/test | 0 | 12797543 | <filename>co-occurrence_matrix.py
import matplotlib
import fileDispose
import numpy as np
def get_bench(text,n):
"""
get_bench(list,int)
共现矩阵窗口循环的范围，对联选择上下联两句做循环范围
text：文本列表
n：几句话合并
"""
bench = []
lable = 0
for i in range(len(text)):
if(i % n == 0):
lable = i
... | 2.8125 | 3 |
scripts/plot_performance.py | shercklo/LTO-CMA | 7 | 12797544 | <reponame>shercklo/LTO-CMA
import os
import json
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import argparse
from datetime import datetime
sns.set()
from matplotlib import rcParams
rcParams["font.size"] = "40"
rcParams['text.usetex'] = False
rcParams['font.family'] = 'serif'
rcParams['fig... | 2.0625 | 2 |
cpdb/analytics/migrations/0004_alter_searchtracking_query_type.py | invinst/CPDBv2_backend | 25 | 12797545 | <reponame>invinst/CPDBv2_backend<gh_stars>10-100
# Generated by Django 2.1.3 on 2018-11-23 08:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('analytics', '0003_searchtracking'),
]
operations = [
migrations.AlterField(
mod... | 1.445313 | 1 |
LaureatsBackEnd-master/laureats/migrations/0008_etudiant.py | SanaaCHAOU/laureat_management_ENSAT | 0 | 12797546 | <filename>LaureatsBackEnd-master/laureats/migrations/0008_etudiant.py
# Generated by Django 3.0.2 on 2020-01-10 20:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('laureats', '0007_laureat_filiere'),
]
operati... | 1.570313 | 2 |
spanmb/models/span_extractor.py | zmmzGitHub/SpanMB_BERT | 0 | 12797547 | <filename>spanmb/models/span_extractor.py
import torch
from torch.nn.parameter import Parameter
from overrides import overrides
from allennlp.modules.span_extractors.span_extractor import SpanExtractor
from allennlp.modules.token_embedders.embedding import Embedding
from allennlp.nn import util
from allennlp.common.c... | 2.328125 | 2 |
Curso Python Completo - Udemy/Teste/conjuntos.py | Cauenumo/Python | 0 | 12797548 | <gh_stars>0
s = set()
s.add(2)
print(s)
| 1.71875 | 2 |
custom_components/goldair_climate/heater/climate.py | KiLLeRRaT/homeassistant-goldair-climate | 0 | 12797549 | """
Goldair WiFi Heater device.
"""
import logging
import json
from homeassistant.const import (
ATTR_TEMPERATURE, TEMP_CELSIUS, STATE_UNAVAILABLE
)
from homeassistant.components.climate import ClimateDevice
from homeassistant.components.climate.const import (
ATTR_HVAC_MODE, ATTR_PRESET_MODE,
HVAC_MODE_OFF... | 2.203125 | 2 |
pydfs_lineup_optimizer/sites/draftstarsnfl/__init__.py | apapadimitriou/pydfs-lineup-optimizer | 0 | 12797550 | <filename>pydfs_lineup_optimizer/sites/draftstarsnfl/__init__.py
from .importer import *
from .settings import *
__all__ = [
'DraftstarsCSVImporter', 'DraftstarsNFLSettings'
] | 1.210938 | 1 |