seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
42014841225 | # power = gamma rate * epsilon rate ( ? )
# gamma = each bit is the most common bit in column of numbers
# epsilon: least common rate, or rather the inv of gamma
import numpy as np
file = 'input'
with open(file) as infile:
lines = infile.readlines()
vals = [[int(v) for v in line.strip()] for line in lines if... | halvarsu/advent-of-code | 2021/day3/run.py | run.py | py | 1,800 | python | en | code | 0 | github-code | 13 |
14278121916 | import bpy
from mathutils import *
bl_info = {
"name": "Tila : Object Duplicate",
"author": "Tilapiatsu",
"version": (1, 0, 0, 0),
"blender": (2, 80, 0),
"location": "View3D",
"category": "Mesh",
}
class TILA_ObjectDuplicateOperator(bpy.types.Operator):
bl_idname = "object.tila_duplicate"
bl_label = "TI... | Tilapiatsu/blender-custom_config | scripts/startup/tila_OP_ObjectDuplicate.py | tila_OP_ObjectDuplicate.py | py | 1,317 | python | en | code | 5 | github-code | 13 |
3230536704 | def saddle_points(matrix):
if len(set([len(i) for i in matrix])) != 1 and len(matrix) != 0:
raise ValueError('Irregular matrix given')
cols = [i for i in zip(*matrix)]
saddles = []
for row_num, row in enumerate(matrix):
for col_num, val in enumerate(row):
row_check = all(val ... | johncornflake/exercism | python/saddle-points/saddle_points.py | saddle_points.py | py | 570 | python | en | code | 0 | github-code | 13 |
42096630478 | from sys import stdout
n = int(input())
ne = (1, 1)
no = (1, 2)
def move_ne(b):
global ne
i, j = ne
print(b, i, j)
stdout.flush()
if i <= n and j + 2 <= n:
ne = (i, j + 2)
elif i + 1 <= n:
if (i + 1) % 2 == 1:
ne = (i + 1, 1)
else:
ne = (i + 1,... | keijak/comp-pub | cf/contest/1503/B/main.py | main.py | py | 893 | python | en | code | 0 | github-code | 13 |
37274100892 | __author__ = 'DafniAntotsiou'
import numpy as np
from copy import deepcopy
# native functions currently not working on windows
def get_joint_qpos(sim, name):
addr = sim.model.get_joint_qpos_addr(name)
if not isinstance(addr, tuple):
return sim.data.qpos[addr]
else:
start_i, end_i = addr
... | DaphneAntotsiou/Adversarial-Imitation-Learning-with-Trajectorial-Augmentation-and-Correction | cat_dauggi/functions.py | functions.py | py | 1,669 | python | en | code | 1 | github-code | 13 |
24534419600 | def longestPalindrome(s: str) -> str:
def is_palindrome(s):
l = 0
r = len(s)-1
while l < r:
if s[l] == s[r]:
l += 1
r -= 1
else:
return False
return s
if len(s) == 1:
return s
elif is_palindrome(... | Hintzy/leetcode | Medium/5_longest_palindrome_substring/longest_palindrome_substring.py | longest_palindrome_substring.py | py | 1,645 | python | en | code | 0 | github-code | 13 |
2869735068 | import numpy as np
import pickle
import numpy.random as npr
import os
import sys
import argparse
import tensorflow as tf
import traceback
#my imports
from pddm.utils.helper_funcs import create_env
from pddm.utils.helper_funcs import get_gpu_config
from pddm.policies.policy_random import Policy_Random
from pddm.utils.l... | google-research/pddm | pddm/scripts/eval_iteration.py | eval_iteration.py | py | 6,154 | python | en | code | 89 | github-code | 13 |
22040633583 | import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
import time
import pg8000
import boto3
import re
from decimal import *
import extract_rs_query_logs_functions as functions... | aws-samples/aws-big-data-blog | aws-blog-retain-redshift-stl/scripts/extract_rs_query_logs.py | extract_rs_query_logs.py | py | 5,977 | python | en | code | 895 | github-code | 13 |
5416581537 | from datetime import timedelta
from aiogram import types, F, Router, Dispatcher
from aiogram.filters import Command, CommandStart
from db import add_new_user, add_message_to_queue, get_last_time, get_timeleft
from aiogram.fsm.context import FSMContext
from aiogram.fsm.state import State, StatesGroup
from aiogram.types ... | Vivatist/SendNewsBot | handlers.py | handlers.py | py | 2,260 | python | en | code | 0 | github-code | 13 |
39357266394 | from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.metrics import precision_recall_fscore_support as score
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split, RandomizedSearchCV, cross_va... | ey96/DataScienceBikesharing | nextbike/model/classification/random_forest_class.py | random_forest_class.py | py | 7,381 | python | en | code | 0 | github-code | 13 |
32215017700 | import json
import os
from collections import Counter
import matplotlib.pyplot as plt
import requests
from bs4 import BeautifulSoup
from scipy.stats import norm
url = "https://ctftime.org/event/2040"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) C... | ashiven/enosimulator | util/scoreboard_analysis.py | scoreboard_analysis.py | py | 7,718 | python | en | code | 0 | github-code | 13 |
23301915315 | """
--------------------------
chipFish, part of chipFish
(c) 2008-2019 oAxiom
--------------------------
Main app entry
NOTES:
------
"""
import sys, os, copy, re, shlex
import opt, gDraw
from glbase_wrapper import glload, location, format, flat_track, genelist, genome_sql
from error import *
from genome_data ... | oaxiom/chipFish | app.py | app.py | py | 7,967 | python | en | code | 1 | github-code | 13 |
24993051153 | from math import log2
hexa = "0123456789ABCDEF"
def doi_co_so(n, b):
step = int(log2(b))
while len(n)%step != 0:
n = '0' + n
for i in range(0, len(n), step):
token = 0
for j in range(i, i+step):
if n[j] == '1':
token += pow(2, step - j%step - 1)
... | thethanh02/python3 | WA/PYKT086.py | PYKT086.py | py | 693 | python | en | code | 1 | github-code | 13 |
26883671925 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from datetime import datetime
from typing import Union, Generator, AsyncGenerator, Optional, Dict
from isodate import parse_duration
from dateutil import parser
from dtran.argtype import ArgType
from dtran.ifunc import IFunc, IFuncType
from dtran.dcat.api import DCatAPI
from ... | mintproject/MINT-Transformation | funcs/readers/dcat_range_stream.py | dcat_range_stream.py | py | 2,513 | python | en | code | 3 | github-code | 13 |
71071866259 | from utils.globals import CMR_FILE_URL
import re
import math
from urllib.parse import urlparse
import os
import sys
import itertools
def build_version_query_params(version):
desired_pad_length = 3
if len(version) > desired_pad_length:
print('Version string too long: "{0}"'.format(version))
qui... | stjimreal/Modis_Scrapy | utils/utilities.py | utilities.py | py | 4,767 | python | en | code | 4 | github-code | 13 |
4321291461 | ##############################################################################
# Copyright (C) 2018, 2019, 2020 Dominic O'Kane
##############################################################################
import sys
sys.path.append("..")
from financepy.utils.math import ONE_MILLION
from financepy.utils.date ... | domokane/FinancePy | tests/test_FinBond.py | test_FinBond.py | py | 12,173 | python | en | code | 1,701 | github-code | 13 |
33175519967 | # this test programme takes 30 photos and saves them to a folder
from picamera import PiCamera # raspberry pi cameraexit
from config import *
import dropbox # for uploading to dropbox, `pip3 install dropbox`
import subprocess
from glob import glob # for the file upload process
from time import sleep, strftime
# t... | llewmihs/sunrise300 | Development/take30.py | take30.py | py | 1,514 | python | en | code | 1 | github-code | 13 |
36436698425 | from .log import die, printi, printw
from .input_types import type_check_kle_layout
from .lazy_import import LazyImport
from .util import dict_union, key_subst, rem, safe_get
from .yaml_io import read_yaml
from math import cos, radians, sin
from types import SimpleNamespace
from re import match
Matrix:type = LazyImpor... | TheSignPainter98/adjust-keys | adjustkeys/layout.py | layout.py | py | 9,837 | python | en | code | 14 | github-code | 13 |
74811481616 | """
Functions to load and save data. Some general, some specific to given predictive_network subclasses
"""
import numpy as np
import ntpath
import tables
import sys
import os
import pickle as pkl
FLOATX = 'float32'
RANDOM_SEED = 12345
def load_pickled_data(load_path):
load_path = os.path.expanduser(load_path)
... | yossing/distributed_grid_search | data_handling.py | data_handling.py | py | 13,605 | python | en | code | 0 | github-code | 13 |
38829313547 | #!/usr/bin/env python3
# Standard library imports
import random
# Remote library imports
from faker import Faker
from datetime import datetime
import re
# Local imports
from app import app
from models import db, User, City, Location,CityNote,LocationNote
if __name__ == '__main__':
faker = Faker()
with app.... | jordandc20/Vicariously_DJordan-capstone | server/seed.py | seed.py | py | 6,512 | python | en | code | 0 | github-code | 13 |
4692893333 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
data = np.unpackbits(np.load("Earth.npy")).reshape(2160, 4320)
def Uniform_draw_Q1():
"""Random number generator"""
theta = np.random.randint(0, 2159)
phi = np.random.randint(0, 4319)
return theta, phi
... | Sheldonsu28/PHY407-Computational-Physics | Lab 10/Lab10Q1.py | Lab10Q1.py | py | 1,807 | python | en | code | 0 | github-code | 13 |
31941921020 | class Node:
def __init__(self, x: int, next: 'Node' = None, random: 'Node' = None):
self.val = int(x)
self.next = next
self.random = random
class Solution:
def copyRandomList(self, head: 'Node') -> 'Node':
if not head:
return
node = head
while node:... | wylu/leetcodecn | src/python/offer/35.复杂链表的复制.py | 35.复杂链表的复制.py | py | 795 | python | zh | code | 3 | github-code | 13 |
31086753879 | import logging
from twisted.internet import defer, reactor, task
from twisted.protocols.basic import LineReceiver
from exceptions import TimeoutException
logger = logging.getLogger('pymdb')
def pretty(data):
return ' '.join(["0x%0.2X" % ord(c) for c in data])
def encode(command, data=''):
return chr(len(... | aborilov/pymdb | pymdb/protocol/mdb.py | mdb.py | py | 3,030 | python | en | code | 6 | github-code | 13 |
70193693457 | def sum_divisors(num):
divs = []
for x in range(1, (num // 2 + 1)):
if num % x == 0:
divs.append(x)
return sum(divs)
def is_abundant(num):
if sum_divisors(num) > num:
return True
else:
return False
abundants = []
for n in range(1, 28124):
if is_abundant(n)... | aryanmalik567/ProjectEuler | Problems 20 - 29/Problem 23.py | Problem 23.py | py | 620 | python | en | code | 0 | github-code | 13 |
72147041618 | import sys
from softlearning.policies.utils import (
get_policy_from_variant, get_policy_from_params, get_policy)
from softlearning.models.utils import (
get_reward_classifier_from_variant, get_dynamics_model_from_variant)
from softlearning.misc.generate_goal_examples import (
get_goal_example_from_variant,... | abhishekunique/RND-ashwin | examples/classifier_rl/main.py | main.py | py | 6,261 | python | en | code | 0 | github-code | 13 |
71545583059 | import config
import matplotlib.pyplot as plt
import torchvision
import torch
# 加载PGAN预训练模型
model = torch.hub.load("facebookresearch/pytorch_GAN_zoo:hub",
"PGAN", model_name="celebAHQ-512", pretrained=True,
useGPU=config.USE_GPU)
# 样本随机噪声向量
(noise, _) = model.buildNoiseData(config.NUM_IMAGES)
# 将采样的噪声向量通过预训练的生成器
wi... | bashendixie/ml_toolset | 案例72 基于Torch Hub的渐进式GAN架构/predict.py | predict.py | py | 860 | python | en | code | 9 | github-code | 13 |
16031681997 | import numpy as np
import torch
from hypothesis.metric import BaseValueMetric
class ExponentialAverageMetric(BaseValueMetric):
r""""""
def __init__(self, initial_value=None, decay=.99):
super(ExponentialAverageMetric, self).__init__(initial_value)
self.decay = decay
def update(self, va... | montefiore-ai/hypothesis | hypothesis/metric/exponential_average.py | exponential_average.py | py | 591 | python | en | code | 47 | github-code | 13 |
10927700118 | import torch
from networkx.classes.reportviews import NodeView
from torch.nn import Module
from typing import Union, Iterator, Callable, Tuple, Optional
from .nodes import RateNet, SpikeNet, InstantNode
from .edges import RLS, Linear, LinearMasked
from .utility import retrieve_from_dict, add_op_name
from .observer impo... | pyrates-neuroscience/RectiPy | rectipy/network.py | network.py | py | 48,772 | python | en | code | 3 | github-code | 13 |
43114674432 | def find_parent(parent, x):
if parent[x] != x:
parent[x] = find_parent(parent, parent[x])
return parent[x]
def union_parent(parent, a, b):
a = find_parent(parent, a)
b = find_parent(parent, b)
if a < b:
parent[b] = a
else:
parent[a] = b
n = int(input())
parent = [0] * (n + 1)
edges = []
resul... | jinhyungrhee/Problem-Solving | NDB/NDB_1844_행성터널★.py | NDB_1844_행성터널★.py | py | 1,298 | python | ko | code | 0 | github-code | 13 |
34649908863 | import tkinter as tk
#window now has all the properties of tkinter
window = tk.Tk()
# title of label
window.title("My APP")
# size of window
window.geometry("400x350")
# LABELS
title = tk.Label(text="Hello world. \nWelcome to my app", font=("Garamond", 20))
title.grid()
# Entry field
entry_field = tk.Entry()
entr... | MarkCrocker/Python | myapp.py | myapp.py | py | 566 | python | en | code | 0 | github-code | 13 |
20296453634 | """
desitarget.targetmask
=====================
This looks more like a script than an actual module.
"""
import os.path
from desiutil.bitmask import BitMask
import yaml
from pkg_resources import resource_filename
def load_mask_bits(prefix=""):
"""Load bit definitions from yaml file.
"""
us = ""
if le... | desihub/desitarget | py/desitarget/targetmask.py | targetmask.py | py | 3,973 | python | en | code | 17 | github-code | 13 |
16809597624 | from __future__ import annotations
import json
import subprocess
import textwrap
from pathlib import Path
from typing import Any
import pytest
from hypothesistooling.projects.hypothesispython import HYPOTHESIS_PYTHON, PYTHON_SRC
from hypothesistooling.scripts import pip_tool, tool_path
PYTHON_VERSIONS = ["3.7", "3.... | HypothesisWorks/hypothesis | whole-repo-tests/test_pyright.py | test_pyright.py | py | 6,659 | python | en | code | 7,035 | github-code | 13 |
73341878416 | import os
import numpy as np
import pandas as pd
import simplejson as json
import requests
import quandl
import bokeh
from bokeh.embed import components
from bokeh.layouts import gridplot
from bokeh.plotting import figure, show, output_file,save
from flask import Flask,render_template,request, redirect
# ------------... | tukichen/stock-price | app.py | app.py | py | 4,171 | python | en | code | 1 | github-code | 13 |
72829488979 | import bpy
from ... base_types import AnimationNode
from bpy.props import *
from ... events import propertyChanged
import pygame.mixer as pgm
pgm.init()
class AudioPlayNode(bpy.types.Node, AnimationNode):
bl_idname = "an_AudioPlayNode"
bl_label = "AUDIO Play Music File"
bl_width_default = 200
message ... | Clockmender/My-AN-Nodes | nodes/audio/audio-play.py | audio-play.py | py | 1,379 | python | en | code | 16 | github-code | 13 |
41759091969 | from flask import Flask,jsonify,request
app = Flask(__name__)
studentdetails = [{'name':"Teja Kishore","email" : "ytkishore7@gmail.com","id" : 1}]
@app.route("/",methods = ["GET"])
def home():
return ("Welcome")
@app.route("/details", methods = ["GET"])
def readAll():
return jsonify ({"studentdetails"... | teja-kishore/rest_api_python | rest_api_crud.py | rest_api_crud.py | py | 1,404 | python | en | code | 0 | github-code | 13 |
39989055832 | #script to preprocess the youtube trailer data output from youtube_scraper.py
#get Youtube trailer data (release date, views, likes, dislikes)
import pandas as pd
import numpy as np
import pickle
#get metadata from the Movie Database
df_full = pd.read_csv('data/movies_metadata.csv')
#here is a dict to quic... | zhuozhi-ge/Movie-Success-Prediction-with-Trailers | crawlers/youtube_preprocessing.py | youtube_preprocessing.py | py | 3,637 | python | en | code | 1 | github-code | 13 |
15628496633 | import os
from datetime import date, datetime
from decimal import Decimal
from dotenv import load_dotenv
from fastapi import FastAPI
from tortoise.contrib.fastapi import register_tortoise
from tortoise.transactions import in_transaction
from app.tariff.dao import TariffDAO
from app.tariff.models import InsuranceCost,... | Yohimbe227/Cargo | main.py | main.py | py | 3,646 | python | ru | code | 0 | github-code | 13 |
43262928502 | def main():
dp = [[-1] * D for _ in range(K+1)]
dp[0][0] = 0
for ai in A:
for k in range(K, 0, -1):
for d_bfo in range(D):
d = (d_bfo + ai) % D
if dp[k-1][d_bfo] != -1:
dp[k][d] = max(dp[k][d], dp[k-1][d_bfo] + ai)
return print(dp[K... | Shirohi-git/AtCoder | abc281-/abc281_d.py | abc281_d.py | py | 447 | python | en | code | 2 | github-code | 13 |
4249368827 | from typing import Optional, Any, List, Type, TypeVar, Union
from app.exceptions import *
from ..base import BaseService
import app.schemas.models.closecom.contactemail as contactemail_schema
from ..models.closecom.contactemail import CloseComContactEmail
from aiogoogle import Aiogoogle
from app.core.config import sett... | Grinnbob/g_theclone | app/services/closecom/contactemail_service.py | contactemail_service.py | py | 2,247 | python | en | code | 0 | github-code | 13 |
7268902086 | #!/usr/bin/python3
"""Module 0-rotate_2d_matrix
"""
def rotate_2d_matrix(matrix):
"""rotate a matrix by 90 deg
"""
val = len(matrix)
temp = create_matrix(val)
for row in range(val):
for col in range(val):
i = val - row - 1
temp[col][i] = matrix[row][col]
copy_ma... | kevohm/alx-interview | 0x07-rotate_2d_matrix/0-rotate_2d_matrix.py | 0-rotate_2d_matrix.py | py | 722 | python | en | code | 0 | github-code | 13 |
41171351374 | import os
from math import log2
class GitIndexEntry(object):
def __init__(
self,
relpath=None,
ctime=None,
mtime=None,
dev=None,
ino=None,
mode_type=None,
mode_perms=None,
uid=None,
gid=None,
fsize=None,
sha=None,
... | leepand/mini-mlops | mlopskit/ext/dpipe/io/file_base.py | file_base.py | py | 1,948 | python | en | code | 1 | github-code | 13 |
30485761962 | import sys, torch
sys.path.append('..')
import argparse
from torch import nn
from helper import helper
from torchvision import datasets, transforms
from torch.utils.data import DataLoader
from tqdm import tqdm
import matplotlib.pyplot as plt
ap = argparse.ArgumentParser()
ap.add_argument('--epochs', type=... | kashyap333/Types-of-Autoencoders | Variational_AE/Variational_AE.py | Variational_AE.py | py | 3,124 | python | en | code | 0 | github-code | 13 |
27475237896 |
annual_salary = float(input("Enter your starting annual salary: "))
monthly_salary = annual_salary / 12
portion_saved = float(input("Enter the percent of your salary to save, as a decimal: "))
total_cost = float(input("Enter the cost of your dream home: "))
semi_annual_raise = float(input("Enter the semiannual ra... | BelinusAI/6.100A_Introduction_to_Computer_Science_and_Programming_in_Python | ps1/ps1b.py | ps1b.py | py | 748 | python | en | code | 0 | github-code | 13 |
13518320845 | from AlgorithmImports import *
class BuyAndHold(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2010, 2, 12) # Set Start Date
self.SetEndDate(datetime.now() - timedelta(1)) # Set End Date using relative date
self.SetCash(100_000) # Set Strategy Cash
self.SetBrokerageModel(... | ilovestocks/Strategies | Buy and Hold/TQQQ_1x.py | TQQQ_1x.py | py | 1,148 | python | en | code | 0 | github-code | 13 |
18696283014 | class Solution:
def maximizeWin(self, A: List[int], k: int) -> int:
dp = [0] * (len(A) + 1)
res = 0
j = 0
for i, a in enumerate(A):
#print(dp)
while A[j] < A[i] - k: j += 1
dp[i + 1] = max(dp[i], i - j + 1)
re... | mehkey/leetcode | python6/2555. Maximize Win From Two Segments.py | 2555. Maximize Win From Two Segments.py | py | 845 | python | en | code | 0 | github-code | 13 |
74583827858 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('accounts', '0004_account_account_type'),
... | kahihia/hiretech | hiretech/accounts/migrations/0005_auto_20150922_1029.py | 0005_auto_20150922_1029.py | py | 748 | python | en | code | 0 | github-code | 13 |
7770648869 | # Example
# Input s = 'abcac'
# n = 10
def repeatedString(s, n):
full_string = ''
s_length = len(s)
a_counter = 0
# if s_length < n:
# full_string = s
length_check = s_length
while s_length < n:
full_string += s
return count_a(full_string)
de... | rishells/100daysOfPython | DataStructuresAndAlgos/repeteadStrings.py | repeteadStrings.py | py | 570 | python | en | code | 0 | github-code | 13 |
25974928055 | import sys
import unittest
import numpy as np
import neurolab as nl
sys.path.insert(0, '../Logic')
from FuzzyLogic import *
class FuzzyAdapt():
def setupNetwork(self,weightSize):
networkInputRanges = []
#minimum weight is zero (no effect), max is 100 (randomly picked)
weightRange = [0, 100]
numN... | IronMage/SeniorDesign | Engine/Adaptation/Adaptation.py | Adaptation.py | py | 1,071 | python | en | code | 0 | github-code | 13 |
20654465824 | # -*- coding: utf-8 -*-
"""
This module provides a list of tool functions about date/time.
- diff_time
- str_to_date
Author : Eric OLLIVIER
"""
import time
import datetime as dt
# =============================================================================
# str_to_date
# =======================... | Eric-Oll/pytools | pytools/time/timetools.py | timetools.py | py | 3,135 | python | en | code | 0 | github-code | 13 |
35219441144 | from django.db import models
from django.contrib.auth.models import AbstractUser
from PIL import Image
from django.conf import settings
from django.contrib.auth.models import User
# Create your models here.
class Profile(AbstractUser):
DesignationChoices = (
("SSE/C&W/TKD", "SSE/C&W/TKD"),
("JE/C... | vinaykumar1908/082021i | users/models.py | models.py | py | 2,204 | python | en | code | 0 | github-code | 13 |
41387877348 | # Program to prompt the user to enter two lists of integers and check
# (a) Whether lists are of the same length.
# (b) Whether the list sums to the same value .
# (c) Whether any value occurs in both Lists.
# Function to check whether lists are of the same length
def equal_or_not(list1,list2):
if len(list1) == le... | AdhithyaSomaraj/PYTHON | 2.0/program9.py | program9.py | py | 1,584 | python | en | code | 0 | github-code | 13 |
7847803344 | # -*- coding: utf-8 -*-
"""
query utilities.
"""
import typing as T
import attr
from attrs_mate import AttrsClass
@attr.define
class Query(AttrsClass):
"""
Structured query object.
:param parts: the parts of query string split by delimiter
:param trimmed_parts: similar to parts, but each part is wh... | MacHu-GWU/afwf-project | afwf/query.py | query.py | py | 1,170 | python | en | code | 1 | github-code | 13 |
35441244990 | # minzhou@bu.edu
def computeCommission(salesAmount):
balance = commission = 0.0
if salesAmount >= 10000.01:
balance = salesAmount - 10000
commission += balance * 0.12
if salesAmount >= 5000.01:
balance -= balance - 5000
commission += balance * 0.10
if salesAmount >= ... | minzhou1003/intro-to-programming-using-python | practice7/6_11.py | 6_11.py | py | 560 | python | en | code | 0 | github-code | 13 |
17228088999 | import torch
import torch.nn as nn
import torch.nn.functional as F
class TargetPred(nn.Module):
def __init__(self, in_channels, hidden_dim=64, m=50, device=torch.device("cpu")):
""""""
super(TargetPred, self).__init__()
self.in_channels = in_channels
self.hidden_dim = hidden_dim
... | ZhoubinXM/AV-EnvModeling-MotionForecasting | model/decoder.py | decoder.py | py | 13,567 | python | en | code | 0 | github-code | 13 |
9046506 | import urllib2
import bs4
from bs4 import BeautifulSoup
import os
from NLPCore import NLPCoreClient
import operator
url = "https://www.google.com"
page = urllib2.urlopen(url)
soup = bs4.BeautifulSoup(page, 'html.parser')
plaintext = soup.get_text()
text = ["Bill Gates works at Microsoft.", "Sergei works at Google."] ... | sarinaxie/iter-set-expansion | cleanpagetest.py | cleanpagetest.py | py | 3,390 | python | en | code | 0 | github-code | 13 |
17048224924 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.ReferenceId import ReferenceId
class AnttechBlockchainDefinSaasFunditemQueryModel(object):
def __init__(self):
self._fund_type = None
self._out_order_id = Non... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AnttechBlockchainDefinSaasFunditemQueryModel.py | AnttechBlockchainDefinSaasFunditemQueryModel.py | py | 3,354 | python | en | code | 241 | github-code | 13 |
27910614205 | class Solution(object):
def climbStairs(self, n):
"""
:type n: int
:rtype: int
"""
cache = {}
cache[1], cache[2] = 1, 2
for i in range(3, n+1):
cache[i] = cache[i-1] + cache[i-2]
return cache[n]
def climbStairs_faster(self, n):
... | JinhanM/leetcode-playground | Recursion/climb_stairs.py | climb_stairs.py | py | 575 | python | en | code | 0 | github-code | 13 |
37170473833 | from itertools import takewhile as lxpDwtEkCfBQUiO
lxpDwtEkCfBQUie=float
lxpDwtEkCfBQUHi=int
lxpDwtEkCfBQUHN=min
lxpDwtEkCfBQUHM=len
lxpDwtEkCfBQUHo=max
lxpDwtEkCfBQUHs=range
lxpDwtEkCfBQUHg=enumerate
lxpDwtEkCfBQUHj=list
from typing import NamedTuple
from numpy import average
from p2.src.algorithm_api import Algorithm... | KamilPiechowiak/ptsz | p2/src/id136705/algorithm.py | algorithm.py | py | 5,076 | python | en | code | 0 | github-code | 13 |
11571167037 | import random as r
print('数当てゲームを始めます。3桁の数を当ててください!')
answer=[r.randint(0,9) for i in range(3)]
while True:
hit=0
blow=0
for i in range(3):
num=int(input(f'{i}桁目の予想を入力(0~9)>>'))
for j in range(3):
if answer[j]==num:
if j==i:
hit+=1
... | nomoto720/PythonTraining | day0209/numhit.py | numhit.py | py | 721 | python | ja | code | 0 | github-code | 13 |
25296770900 | from django.test import TestCase
from occurrence.models import (
SurveyMethod,
SamplingSizeUnit,
)
from occurrence.factories import SurveyMethodFactory
from occurrence.factories import SamplingSizeUnitFactory
from species.models import Taxon
from species.factories import TaxonRankFactory
from django.contrib.a... | kartoza/sawps | django_project/occurrence/test_occurrence_models.py | test_occurrence_models.py | py | 3,266 | python | en | code | 0 | github-code | 13 |
31078839903 | import os
import flask
import logging
import requests
import utils
log = logging.getLogger(__name__)
app = flask.Flask(__name__)
service_b_endpoint = os.environ.get("SERVICE_B_ENDPOINT", None)
service_c_endpoint = os.environ.get("SERVICE_C_ENDPOINT", None)
if not service_c_endpoint or not service_b_endpoint:
rai... | PanGan21/distributed-tracing | serviceA/service_a.py | service_a.py | py | 1,738 | python | en | code | 0 | github-code | 13 |
38401237796 | # simfin data example 1
# https://simfin.com/data/access/download
# output-mixeddet-quarters-gaps-publish-semicolon-wide
# SW API key
# 6BEqsSZGmXpbrRjS06PoHU8l78R3gBqS
# https://github.com/SimFin/api-tutorial
# import pandas
# location = 'C:/Users/SW/Downloads/output-mixeddet-quarters-gaps-publish-semicolon-wide/'... | sws144/learning-python | simfin.py | simfin.py | py | 2,849 | python | en | code | 0 | github-code | 13 |
18864442897 | from datetime import datetime
import numpy as np
import pandas as pd
import os
import re
import json
import shutil
from mne_bids import BIDSPath
from collections import defaultdict
# hard-coded stuff
DATA_DIR = 'data'
OUTPUT_DIR = 'data_bids'
def extract_datetime(f):
'''
pulls timestamp out of pavlovia filena... | apex-lab/agency-battery-analysis | to_bids.py | to_bids.py | py | 7,752 | python | en | code | 0 | github-code | 13 |
3724711322 | import math
import operator as op
import time
import sys
#resource.setrlimit(resource.RLIMIT_STACK, (2**29,-1))
sys.setrecursionlimit(10**6)
# (define fact (lambda (n) (if (<= n 1) 1 (+ n (fact (- n 1))))))
# (define fib (lambda (n) (if (< n 2) n (+ (fib (- n 1)) (fib (- n 2))))))
# (set! adam 'xyz')
Symbol = str ... | ChristerNilsson/2023 | 041-Lisp/lis.py | lis.py | py | 3,624 | python | en | code | 0 | github-code | 13 |
3833699258 |
def get_envelope(inputSignal):
# Taking the absolute value
absoluteSignal = []
for sample in inputSignal:
absoluteSignal.append(abs(sample))
# Peak detection
intervalLength = 35 # change this number depending on your Signal frequency content and time scale
outputSignal = []
for... | AdriannaZychewicz/mgr | env_fun/env_fun.py | env_fun.py | py | 576 | python | en | code | 0 | github-code | 13 |
74403150097 | import sys
def read_problem(infile):
pack= [int(i) for i in infile.next().split(' ')]
M = pack[0]
N = pack[1]
en_x, en_y, ex_x, ex_y = [int(i) for i in infile.next().split(' ')]
en = (en_x,en_y)
ex = (ex_x, ex_y)
matrix = [[int(j) for j in infile.next().split(' ')] for i in range(N)]
ret... | litao91/googlecodejam | gchina/roundD/roundD.py | roundD.py | py | 2,480 | python | en | code | 1 | github-code | 13 |
12451197754 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 12 11:06:21 2021
@author: owatson2
"""
# import os
# print(os.getcwd())
# os.chdir("DF_Python")
def clean_csv(filename):
#Opening and creating the necessary files
excel = open(filename, "r")
excel_cleaned = open("csv_cleaned.csv", "w")
... | livwatson/Data_Fellowship | DF_Python/csv_cleaning_stretch.py | csv_cleaning_stretch.py | py | 1,506 | python | en | code | 0 | github-code | 13 |
37251413244 | t = int(input())
while(t>0):
t-=1
x = str(input())
var = 0
for element in x:
if(element=='0'):
var=var+1
else:
var= var-1
var = abs(var)
if(len(x)%2==1):
print("-1")
else:
print(int(var/2)) | parthsarthiprasad/Competitive_Programming | codechef/december_cook/p3.py | p3.py | py | 273 | python | en | code | 0 | github-code | 13 |
26198222072 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Definition of basic score functions that applies to a point prediction or a single prediction interval.
Author: Guillaume St-Onge <stongeg1@gmail.com>
"""
import numpy as np
def interval_score(observation, lower, upper, interval_range, specify_range_out=False):
... | gstonge/scorepi | scorepi/score_functions.py | score_functions.py | py | 3,235 | python | en | code | 1 | github-code | 13 |
7524505882 | import json
import re
import scipy as sp
import humanhash
from itertools import chain
from listing_scraper import get_search_options, get_coords
WEEKS_PER_MONTH = 365/12./7
EARTH_CIRCUMFERENCE = 40075
KM_PER_MILE = 1.609
MEAN_RADIUS_OF_POINT_IN_UNIT_DISC = 2./3.
WALKING_SPEED = 5./60.#km per minute
MAX_DISTANCE_FROM_S... | andyljones/flat-scraper | listing_transformer.py | listing_transformer.py | py | 4,343 | python | en | code | 0 | github-code | 13 |
41667685770 | import random
import sys
value = random.randint(0, 100)
lowestNumber = 0
highestNumber = 100
def guessnumber():
global lowestNumber
global highestNumber
print("Wähle eine Nummer zwischen "+ str(lowestNumber) + " und "+ str(highestNumber))
guess = int(input(""))
if value == guess:
... | NotGoodWithNamingStuff/randomNumberGuesser | main.py | main.py | py | 1,290 | python | de | code | 0 | github-code | 13 |
25525617268 | import numpy as np
from ray.rllib.env import PettingZooEnv, ParallelPettingZooEnv
from ray.rllib.utils.spaces import space_utils
from pettingzoo_env import CustomEnvironment
from aec_env import AsyncMapEnv
from ray.rllib.policy.policy import Policy
from ray.rllib.algorithms.algorithm import Algorithm
import imageio.v2... | Langbridge/RL_RAR | policy_eval_aec.py | policy_eval_aec.py | py | 6,633 | python | en | code | 0 | github-code | 13 |
22843740959 | from utils.data_input_util import *
from utils.image_utils import *
import logging
import os
from random import randint
from torchinfo import summary
import numpy as np
import random
from PIL import Image
import pickle
import torch
import torchvision
import torch.distributed as dist
import torch.nn as nn
from torch.ut... | cbstars06/EEG | ThoughtViz_py/training/thoughtviz_image_with_eeg.py | thoughtviz_image_with_eeg.py | py | 13,288 | python | en | code | 0 | github-code | 13 |
7051517719 | import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), '../..'))
import util
def test():
ret = _recursive_dir('./', 'dir2', 0)
return str(ret)
def _recursive_dir(parent, dir_name, lv):
ret = ''
this_path = parent + dir_name
if not this_path.endswith('/'):
this_path ... | takashiharano/util | python/test/file/test_recursive_dir.py | test_recursive_dir.py | py | 798 | python | en | code | 1 | github-code | 13 |
30139031912 | from flask import current_app
from zou.app.models.project import Project
from zou.app.models.entity import Entity
from zou.app.services import shots_service
from zou.app.blueprints.source.shotgun.base import (
BaseImportShotgunResource,
ImportRemoveShotgunBaseResource,
)
class ImportShotgunScenesResource(B... | cgwire/zou | zou/app/blueprints/source/shotgun/scene.py | scene.py | py | 2,433 | python | en | code | 152 | github-code | 13 |
40571080370 | palindromes = []
for n in range(10000, 998001):
temp = n
rev = 0
while(n>0):
dig = n%10
rev = rev*10+dig
n = n//10
if (temp==rev):
palindromes.append(temp)
quotients = []
for i in palindromes:
for x in range(900, 999):
if i%x==0:
quotients.append(... | ayan1995/Thinkful | Bootcamp/Unit_5_Other_Topics/Algorithms and Data Structures/Project Euler/palindrome.py | palindrome.py | py | 871 | python | en | code | 0 | github-code | 13 |
10320916812 | import os
import json
import boto3
import tweepy
import pytz
from tweepy import OAuthHandler
from tweepy import StreamingClient
from textblob import TextBlob
from datetime import datetime
import requests
from requests_aws4auth import AWS4Auth
import pysolr
class process_tweet(tweepy.StreamingClient):
print("in proce... | vasveena/opensearch-workshop | py-files/fh-solr-to-os.py | fh-solr-to-os.py | py | 3,457 | python | en | code | 1 | github-code | 13 |
26889979784 | from __future__ import annotations
import os
import numpy as np
import validate
from errors import LoadError
class GridParameters:
"""
This class contains all the information pertaining to the grid:
dx (x-coordinate of disk centre w.r.t. eclipse centre [t_ecl])
dy (y-coordinate of disk centre... | dmvandam/beyonce | GridParameters.py | GridParameters.py | py | 9,318 | python | en | code | 0 | github-code | 13 |
17015630195 | """
So turns out I have a real blank spot around indices manipulation like this.
Well, that and live interviewing, probably been practicing TDD-like too much.
Of course, I can do it, no doubt, but live, nah
------------------------
Given a matrix
[
["a", "b", "c"],
["d", "e", "f"],
["g", "h", "i"],
... | chrisjdavie/interview_practice | my_own/inv_diag_matrix/try_0.py | try_0.py | py | 1,248 | python | en | code | 0 | github-code | 13 |
29926871422 | class GameData(object):
game_name=''
game_link=''
value=0.0
num_of_reviews=-1
steam_score=-1
def __init__(self, game_name, game_link, value, num_of_reviews=-1, steam_score=-1):
self.game_name = game_name
self.game_link = game_link
self.value = float(value)
self.n... | AlexMilman/steamgifts-group-management-tool | Data/GameData.py | GameData.py | py | 698 | python | en | code | 6 | github-code | 13 |
4230805241 | # 4
# Дама,сдавала в багаж
# диван, чемодан, саквояж
# картину, корзину, картонку
# и маленькую собачонку,,
# 4
# 0,0
# 1,2
# 3,1
# 3,0
text = []
lineCount = int(input("Введите количество строк: "))
for i in range(lineCount):
line = input().split(",")
text.append(line)
print(text)
wordCount = int(input("Введит... | DOMOKUL/Python | Laba2/16.2.py | 16.2.py | py | 675 | python | ru | code | 0 | github-code | 13 |
23778723280 | # Seeed Grove Ultrasonic Sensor v2
#
# https://wiki.seeedstudio.com/Grove-Ultrasonic_Ranger/
# #play-with-raspberry-pi-with-grove-base-hat-for-raspberry-pi
import machine
import time
# blink on-board led to verify operating status
led = machine.Pin(25, machine.Pin.OUT)
def blink(timer):
global led
led.toggle... | jckantor/cbe61622 | Raspberry_Pi_Pico/demo_ultrasonic_sensor.py | demo_ultrasonic_sensor.py | py | 1,256 | python | en | code | 6 | github-code | 13 |
14206562720 | def read():
f = open('./problem1.dat', 'r')
f.seek(0)
whole_file = f.read()
lines = whole_file.splitlines()
lines = list(filter(len, lines))
width = int(lines.pop(0))
distances = lines[:25]
flows = lines[25:]
ds = []
for d in distances:
dline = []
for dd in... | willlogs/EvolutionaryComputationsExamples | 4.QAP(Building Scale)/datfileReader.py | datfileReader.py | py | 643 | python | en | code | 0 | github-code | 13 |
18717751902 | from igraph import *
import psycopg2
from psycopg2.extensions import AsIs
from psycopg2.extras import execute_values
import sys
from config import config
import numpy as np
import datetime
from pprint import pprint
def main(argv):
if (len(sys.argv) < 3 or len(sys.argv) > 3):
print(
"Debe ingresar nombre de map... | niclabs/InternetResilience | suurballe.py | suurballe.py | py | 16,044 | python | en | code | 0 | github-code | 13 |
40454350515 | import os
import time
import hmac
import hashlib
import base64
import urllib.parse
import requests
from config import config
class DingTalk(object):
SIGN_SECRET = os.environ.get(config.DING_ROBOT_SIGN_SECRET)
BASE_URL = os.environ.get(config.DING_ROBOT_URL)
TOKEN = os.environ.get(config.DING_TOKEN)
@... | cailu/ding-robot | app/dingtalk/dingtalk.py | dingtalk.py | py | 1,607 | python | en | code | 0 | github-code | 13 |
16987619138 | class Solution:
def combine(self, n, k):
"""
:type n: int
:type k: int
:rtype: List[List[int]]
"""
candidates = list(range(1, n+1))
# return list of all possible combinations of #count numbers out of candidates[leftmostIndex:]
def combineHelper(leftmos... | HzCeee/Algorithms | LeetCode/DFS/77_Combinations.py | 77_Combinations.py | py | 700 | python | en | code | 0 | github-code | 13 |
21767143884 | import os
import re
FIXES = [
('(g|G)ehiilf', '\g<1>ehülf'),
('Herrn\.', 'Herm.'),
('Job\.', 'Joh.'),
#(r'£(\d\d+)', '↯\g<1>'),
#(r'gasse(\d+)', r'gasse \g<1>'),
#(r'Kirclienfeld|Kirchen-\sIfeld', r'Kirchenfeld'),
#(r'\\Vildhain' , r'Wildhain'),
#(r'^\d+\s+(.+)$'
]
def apply_replacem... | brawer/bern-addresses | src/cleanup/apply_replacement.py | apply_replacement.py | py | 851 | python | en | code | 2 | github-code | 13 |
12561541646 | import threading
class ThreadScraper(threading.Thread):
process_result = []
def __init__(self, session, offset, people, country, city, datein, dateout, is_detail, parsing_data):
threading.Thread.__init__(self)
self.session = session
self.offset = offset
self.people = people
se... | HexNio/booking_scraper | booking_scraper/core/ThreadScraper.py | ThreadScraper.py | py | 670 | python | en | code | 27 | github-code | 13 |
17144314413 | import pandas.io.data as web
""" Download prices from an external data source """
class MarketDataSource:
def __init__(self):
self.event_tick = None
self.ticker, self.source = None, None
self.start, self.end = None, None
self.md = MarketData()
def start_market_simulation(self):
... | SFL012/quant | backtests/MarketDataSourceClass.py | MarketDataSourceClass.py | py | 626 | python | en | code | 1 | github-code | 13 |
29753979936 | s = list(input())
string = 'abcdefghijklmnopqrstuvwxyz'
lst = list(string)
result = []
for i in range(len(lst)):
if s.count(lst[i])>0:
result.append(s.index(lst[i]))
else:
result.append(-1)
print(" ".join(map(str, result)))
| 1000hyehyang/BAEKJOON | 5. 문자열/10809.py | 10809.py | py | 250 | python | en | code | 0 | github-code | 13 |
16587462892 | import logging
def logged(exception, mode):
def decorator(method):
def wrapper(*args, **kwargs):
try:
return method(*args, **kwargs)
except exception as ex:
if mode == 'console':
logging.error(str(ex))
elif mode ==... | unchain3d/python_labs | decorators/decorator.py | decorator.py | py | 631 | python | uk | code | 0 | github-code | 13 |
70189820499 | from inventory_report.reports.colored_report import ColoredReport
from inventory_report.reports.simple_report import SimpleReport
products = [
{
"id": 1,
"nome_do_produto": "Cafe",
"nome_da_empresa": "Cafes Nature",
"data_de_fabricacao": "2020-07-04",
"data_de_validade": "20... | GustavoGracioM/inventory-report | tests/report_decorator/test_report_decorator.py | test_report_decorator.py | py | 1,464 | python | pt | code | 0 | github-code | 13 |
22437061571 | import turtle
import random
#_______________________ 1. DRAWING AND PREPARATION ______________________
#black screen + register Pac-Man shapes
screen = turtle.Screen()
screen.bgcolor("black")
screen.register_shape("Pac-Man", ((-9,-2), (-8,-4), (-7,-5), (-6.5,-6.5), (-5,-7), (-4,-8), (-2,-9), (0,-9.5), (2,-9), (4,-8), ... | yaleyang5/Pac-Man-With-Turtle | Pac-Man.py | Pac-Man.py | py | 11,176 | python | en | code | 0 | github-code | 13 |
41940971048 | from menu import Menu, MenuItem
from coffee_maker import CoffeeMaker
from money_machine import MoneyMachine
coffee_maker = CoffeeMaker()
money_machine = MoneyMachine()
_menu = Menu()
order = "on"
while order != 'off':
menu = _menu.get_items()
order = input(f"What would you like? {menu}:")
if order == 'rep... | emmanuelkb/100-days-of-code | oop-coffee-machine-start/main.py | main.py | py | 641 | python | en | code | 0 | github-code | 13 |
7836548570 | #This code is adapted from
#https://dashee87.github.io/football/python/predicting-football-results-with-statistical-modelling/
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn
from scipy.stats import poisson,skellam
epl = pd.read_csv("http://www.football-data.co.uk/mmz4281/1920/E0... | Friends-of-Tracking-Data-FoTD/SoccermaticsForPython | 11SimulateMatches.py | 11SimulateMatches.py | py | 3,612 | python | en | code | 360 | github-code | 13 |
26869775385 | # -*- coding: utf-8 -*-
import pandas as pd
from time import time
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
from matplotlib import pyplot
def load_data(file_path):
df = pd.read_csv(file_path, delimiter=';', pars... | zydarChen/predict_17 | Highways_England/LM326.py | LM326.py | py | 4,022 | python | en | code | 1 | github-code | 13 |
35452136903 | import random
from gevent import monkey
from multiprocessing import Process
from myexperiements.sockettest.socket_server import HoneyBadgerBFTNode
from myexperiements.sockettest.make_key_files import *
monkey.patch_all(thread=False)
def _test_honeybadger_2(N=4, f=1, seed=None):
def run_hbbft_instance(badger: ... | yylluu/dumbo | myexperiements/localtests/my_run_hbbft_socket.py | my_run_hbbft_socket.py | py | 1,116 | python | en | code | 16 | github-code | 13 |
17628546505 | from selenium import webdriver
import time
from selenium.webdriver.common.by import By
import requests
user=input('请输入学号：')
xnm=input('请输入学年：')
# 创建Edge浏览器的驱动程序对象
driver = webdriver.Edge()
# 打开登录页面
driver.get('http://111.75.254.215:9002/jwglxt/xtgl/login_slogin.html')
# 执行登录操作，输入用户名和密码
username_input = driver.find_e... | yunigongshang/pyStudy | 8月/post.py | post.py | py | 1,581 | python | en | code | 0 | github-code | 13 |
73806846737 | """
pyexcel.sheets
~~~~~~~~~~~~~~~~~~~
Representation of data sheets
:copyright: (c) 2014-2015 by Onni Software Ltd.
:license: New BSD License, see LICENSE for more details
"""
from .nominablesheet import NominableSheet
class Sheet(NominableSheet):
"""Two dimensional data contai... | ayasavolian/derived-attributes | venv/lib/python2.7/site-packages/pyexcel/sheets/sheet.py | sheet.py | py | 3,828 | python | en | code | 0 | github-code | 13 |
74812497936 | #!/usr/bin/env python
import roslib
import rospy
import tf
from tf.msg import tfMessage
from geometry_msgs.msg import TransformStamped
import tfx
import pickle
class CTRB:
def __init__(self):
print("init")
def publishLatchTransforms(self):
rospy.init_node('ctrb', anonymous=True)
self.... | yjen/camera_registration | ctrb.py | ctrb.py | py | 2,201 | python | en | code | 0 | github-code | 13 |
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