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
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
33008270053 | # load the example image and convert it to grayscale
import os
import cv2
import pytesseract
image = "example_01.jpg"
preprocess = "thresh"
image = cv2.imread(image)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# check to see if we should apply thresholding to preprocess the
# image
if preprocess == "thresh":
... | Marius-Juston/SonnetGeneratorCombination | ocr.py | ocr.py | py | 1,062 | python | en | code | 0 | github-code | 36 |
29412113956 | import cv2
import numpy as np
import argparse
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-v','--video', type=str)
parser.add_argument('-o','--output', type=str, default=None)
args = parser.parse_args()
vid = cv2.VideoCapture(args.video)
width = int(vid.get(... | flexinai/flexin-ipod-ad | exclusion.py | exclusion.py | py | 2,097 | python | en | code | 0 | github-code | 36 |
17729946892 | import argparse
import glob
import logging
import os
import random
import timeit
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
from torch.utils.data.distributed import DistributedSampler
from tqdm import tqdm, trange
from transformers import (
WEIGHTS_NA... | nict-wisdom/bertac | src/examples.openqa/run_openqa_preprocess.py | run_openqa_preprocess.py | py | 18,692 | python | en | code | 7 | github-code | 36 |
43507170482 | #!/usr/bin/env python3
"""this module contains a function for task 2"""
import numpy as np
def nparser(sentence, n):
"""nparser - parses sentence in to n partitions"""
uniq_words = []
for i in range(len(sentence)):
if i + n <= len(sentence):
uniq_words.append(str(sentence[i:i+n]))
... | chriswill88/holbertonschool-machine_learning | supervised_learning/0x10-nlp_metrics/2-cumulative_bleu.py | 2-cumulative_bleu.py | py | 1,937 | python | en | code | 0 | github-code | 36 |
43734774169 | """
@创建日期 ：2022/4/25
@修改日期 ：2022/4/26
@作者 ：jzj
@功能 ：模型库，输出统一以字典格式
dqn 输出 value
a2c 输出 policy value
fixme: 可能会抽象为参数构建的模式，不确定
"""
from typing import List
import tensorflow as tf
import tensorflow.keras.layers as layers
import tensorflow.keras.models as models
def make_model(id, args):
if id =... | baichii/inspire | rookie/models.py | models.py | py | 6,872 | python | en | code | 0 | github-code | 36 |
18590413266 | import pytest
from sqlalchemy import create_engine
from rebrickable.data.database import Session
from rebrickable.data.models import *
models = [Color, Inventory, InventorySet,
InventoryPart, Part, PartCategory, Set, Theme]
@pytest.fixture(scope='module')
def session():
engine = create_engine('sqlite:... | rienafairefr/pyrebrickable | tests/data/test_data.py | test_data.py | py | 1,369 | python | en | code | 4 | github-code | 36 |
9294959555 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""--------------------------------------------------------------------
GENETIC ALGORITHMS EXPERIMENTS
Started on the 2018/01/03
theo.alves.da.costa@gmail.com
https://github.com/theolvs
------------------------------------------------------------------------
"""
from sci... | TheoLvs/reinforcement-learning | 4. Chrome Dino/experiments.py | experiments.py | py | 10,024 | python | en | code | 94 | github-code | 36 |
6367637162 | # Look for #IMPLEMENT tags in this file.
'''
All models need to return a CSP object, and a list of lists of Variable objects
representing the board. The returned list of lists is used to access the
solution.
For example, after these three lines of code
csp, var_array = caged_csp_model(board)
solve... | eliasvolonakis/CSC384CourseWork | Constraint Satisfaction Assignment/puzzle_csp.py | puzzle_csp.py | py | 8,422 | python | en | code | 0 | github-code | 36 |
10916034260 | import abc
import sys
from importlib import import_module
from typing import TypeVar
import pytest
from sphinx.ext.autodoc.mock import _MockModule, _MockObject, mock
def test_MockModule():
mock = _MockModule('mocked_module')
assert isinstance(mock.some_attr, _MockObject)
assert isinstance(mock.some_meth... | borntocodeRaj/sphinx_configuration | tests/test_ext_autodoc_mock.py | test_ext_autodoc_mock.py | py | 3,242 | python | en | code | 1 | github-code | 36 |
73952795302 | from scipy.special import comb
"""
This file contains a set of functions to practice your
probabilities skills.
It needs to be completed with "vanilla" Python, without
help from any library -- except for the bin_dist function.
"""
def head_tails(p, n):
"""
Given a coin that have probability p of ... | ashokpanigrahi88/ashokpython | Exercises/Pre-Maths/probabilities.py | probabilities.py | py | 2,880 | python | en | code | 0 | github-code | 36 |
43297568374 | from _rawffi import alt
class MetaStructure(type):
def __new__(cls, name, bases, dic):
cls._compute_shape(name, dic)
return type.__new__(cls, name, bases, dic)
@classmethod
def _compute_shape(cls, name, dic):
fields = dic.get('_fields_')
if fields is None:
retu... | mozillazg/pypy | pypy/module/_rawffi/alt/app_struct.py | app_struct.py | py | 542 | python | en | code | 430 | github-code | 36 |
6997263842 | class ListNode:
def __init__(self, val=0, next=None):
"""
:type val: int
:type next: ListNode
"""
self.val = val
self.next = next
def mergeTwoLists(list1 ,list2):
"""
:type l1: ListNode
:type l2: ListNode
:rtype: ListNode
"""
result = ListNode... | joseluisvr93/leetcode | mergeTwoList.py | mergeTwoList.py | py | 800 | python | en | code | 0 | github-code | 36 |
40056650925 | from decouple import config
import os
class HTML_file:
def __init__(self, group_name: str, measure: str) -> None:
self.group_name = group_name
self.measure = measure
self.png_dir = os.path.join(config('root'), 'work/visual_graphs')
def save_directory(self) -> str:
return os.pa... | WMDA/SCN | SCN/visualization/create_html_view.py | create_html_view.py | py | 3,593 | python | en | code | 0 | github-code | 36 |
34287760383 |
import random
from xml.dom.minidom import parseString
file=open('/home/med/Desktop/bioInfo.xml', 'r')
data= file.read()
dom=parseString(data)
f = open('/home/med/Desktop/seedpopulation.txt', "w")
PS=dom.getElementsByTagName('problemSize')[0].toxml()
PopS=dom.getElementsByTagName('populationSize')[0].toxml()
Probl... | dogatuncay/GA_Twister_Hadoop | docs/seedpopulation.py | seedpopulation.py | py | 671 | python | en | code | 4 | github-code | 36 |
74647027303 | import logging
from igraph import Graph as iGraph
from parvusdb import GraphDatabase
from parvusdb.utils.code_container import DummyCodeContainer
from parvusdb.utils.match import Match, MatchException
from .node_matcher import VectorNodeMatcher
_logger = logging.getLogger()
class GraphMatcher:
def __init__(sel... | fractalego/dgt | dgt/graph/graph_matcher.py | graph_matcher.py | py | 1,990 | python | en | code | 2 | github-code | 36 |
44034009675 | import sys
from collections import deque
n, k = map(int, sys.stdin.readline().split())
m = 100001
visited = [-1] * m
check = [0] * m
q = deque()
visited[n] = 0
q.append(n)
def path(x):
move = []
temp = x
for _ in range(visited[x] + 1):
move.append(temp)
temp = check[temp]
... | GluteusStrength/Algorithm | 백준/Gold/13913. 숨바꼭질 4/숨바꼭질 4.py | 숨바꼭질 4.py | py | 675 | python | en | code | 0 | github-code | 36 |
26030329346 | import os
import sys
#モジュール探索パス追加
p = ['../','../../']
for e in p: sys.path.append(os.path.join(os.path.dirname(__file__),e))
import discord
from discord.ext import commands
from discord import app_commands
from cmmod.json_module import open_json
from cmmod.time_module import get_currenttime
from cmmod.discord_module... | rich-bread/bmdb_bot | menu/usermenu/apply_team.py | apply_team.py | py | 5,802 | python | ja | code | 0 | github-code | 36 |
37225738128 | import nilearn
from nilearn.plotting import plot_carpet, plot_glass_brain, plot_anat, plot_stat_map, plot_design_matrix, plot_epi, plot_contrast_matrix
from nilearn import image, masking, input_data
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from nilearn.glm.first_level import make_first_lev... | tejas-savalia/fmri_project | util.py | util.py | py | 4,890 | python | en | code | 0 | github-code | 36 |
16385745917 | from torch.utils.data import Dataset
import torch
from PIL import Image
from pathlib import Path
import numpy as np
from dataclasses import dataclass
import random
@dataclass
class imageset:
t1: Path
t2: Path
cm: Path
@dataclass
class patch:
imset: imageset
x: tuple
y: tuple
class CDDatase... | fzimmermann89/ml4rs | cd/ds.py | ds.py | py | 6,007 | python | en | code | 0 | github-code | 36 |
6027026572 | #Uppgift 3
"""
Primtalsfaktorerna av 13195 är 5, 7, 13 och 29.
Vilken är den största primtalsfaktorn av 600851475143?
"""
#Svar: 6857
num = 600851475143
factors = []
while num > 1:
for i in range(2,num+1):
if num % i == 0:
num = int(num/i)
factors.append(i)
break
print(factors)
| WastPow/Sommarmatte-l-sningsf-rslag | Uppgift 3.py | Uppgift 3.py | py | 310 | python | sv | code | 0 | github-code | 36 |
8755321415 | # -*- coding: utf-8 -*-
from odoo import fields, models, api
line_sizes = [
('medium', 'Moyen'),
('small', 'Petit'),
('smaller', 'Plus petit'),
('x-small', u'Très petit')
]
class ResCompany(models.Model):
_inherit = "res.company"
use_of_custom_footer = fields.Boolean(
string=u'U... | odof/openfire | of_external/models/of_company.py | of_company.py | py | 3,872 | python | en | code | 3 | github-code | 36 |
18915198493 | import pytest
from src.maximum_twin_sum_of_a_linked_list import Solution
from src.utils.linked_list import to_linked_list
@pytest.mark.parametrize(
"in_list,expected",
(
([5, 4, 2, 1], 6),
([4, 2, 2, 3], 7),
([1, 100_000], 100_001),
),
)
def test_solution(in_list, expected):
h... | lancelote/leetcode | tests/test_maximum_twin_sum_of_a_linked_list.py | test_maximum_twin_sum_of_a_linked_list.py | py | 398 | python | en | code | 3 | github-code | 36 |
23425927839 | import os
from discord.ext import commands, tasks
import motor.motor_asyncio
import util.util
from util.help import HelpCommand
from util.setup import load_text, load_data, mod_data, get_files
import discord
import itertools
bot = commands.Bot(
command_prefix="!", # Change to desired prefix
case_insensitive=T... | gritor111/bhv-bot | bot.py | bot.py | py | 1,424 | python | en | code | 0 | github-code | 36 |
40843782656 | from apivk.function_vk import vkinder
from datetime import date
from database.script_bd import check_users_vk, check_search_results, save_users_vk, save_search_results
from botvk.function_botvk import write_msg, send_photo
# определение статуса отношений
def find_relation(search_user_id):
res = vkinder.about_user... | beloglazovpl/VKinder | function_find/func.py | func.py | py | 4,050 | python | en | code | 0 | github-code | 36 |
36407109164 | """
This script is used for 'writing' songs in musical notation form, with recording of key downs and ups being used to define the time durations and delays of notes. Notes are shown line by line and a single key on your keyboard can be used to set the timing for each note in a song - of course, you'll need to know th... | cwylycode/dumptruck | python/musical_timing_recorder.py | musical_timing_recorder.py | py | 4,076 | python | en | code | 4 | github-code | 36 |
42926082156 | import tempfile
import unittest
import numpy as np
import pandas as pd
import pysam
from hmnfusion import mmej_deletion
from tests.main_test import Main_test
class TestMmejDeletionMain(Main_test):
@classmethod
def load_records(cls, path: str):
vcf_in = pysam.VariantFile(path)
return [x for x ... | guillaume-gricourt/HmnFusion | tests/unit/test_mmej_deletion.py | test_mmej_deletion.py | py | 9,961 | python | en | code | 0 | github-code | 36 |
39914551744 | from fastapi import APIRouter, HTTPException, Request
from utils.model import *
from services.camera_service import camera_service
from services.server_service import server_service
import requests
import threading
router = APIRouter(prefix="/camera")
@router.get("/{server_name}")
async def get_camera(server_name: st... | ngocthien2306/be-cctv | src/router/camera_router.py | camera_router.py | py | 4,936 | python | en | code | 0 | github-code | 36 |
43303341114 | import py
import random
from collections import OrderedDict
from hypothesis import settings, given, strategies
from hypothesis.stateful import run_state_machine_as_test
from rpython.rtyper.lltypesystem import lltype, rffi
from rpython.rtyper.lltypesystem import rordereddict, rstr
from rpython.rlib.rarithmetic import ... | mozillazg/pypy | rpython/rtyper/test/test_rordereddict.py | test_rordereddict.py | py | 22,081 | python | en | code | 430 | github-code | 36 |
1284010441 | import socket
import webbrowser
s = socket.socket()
host = 'localhost' # server address
port = 9010
s.connect((host, port))
url = s.recv(1024)
s.close
webbrowser.open_new(url)
s = socket.socket()
host = 'localhost'
port = 9010
s.bind((host, port))
s.listen(1)
c, addr = s.accept() # Establish connecti... | hackandcode/sniffnlearn | OAuth/client.py | client.py | py | 418 | python | en | code | 0 | github-code | 36 |
19909078329 | def corpus_file_transform(src_file,dst_file):
import os
assert os.path.isfile(src_file),'Src File Not Exists.'
with open(src_file,'r',encoding = 'utf-8') as text_corpus_src:
with open(dst_file,'w',encoding = 'utf-8') as text_corpus_dst:
from tqdm.notebook import tqdm
text_co... | JackieChenssh/TC_VFDT_CRF | CRF.py | CRF.py | py | 9,036 | python | en | code | 0 | github-code | 36 |
17134892000 |
# Packages
import pandas as pd
import os
import json
from gensim.utils import simple_preprocess
from gensim.summarization.textcleaner import split_sentences
from functools import reduce
from fuzzywuzzy import fuzz
## Functions
## Returns marked html from iucn notes
def find_country(text, country):
'''Function to id... | ConMine/ConMine | Development/Code/sentence_tagging.py | sentence_tagging.py | py | 4,876 | python | en | code | 0 | github-code | 36 |
22703377702 | from __future__ import print_function
import sys
import xml.etree.ElementTree as ET
import os
sys.path.extend(['.', '..', './pycparser/'])
from pycparser import c_parser, c_ast
filehandle = open('dummy3.c', 'r')
#filehandle = open('reverse_noinclude.c', 'r')
#filehandle = open('reverse.c', 'r')
text = ''.join(fileha... | lashgar/ipmacc | src/auxilaries/generate_oacc_ast.py | generate_oacc_ast.py | py | 2,204 | python | en | code | 13 | github-code | 36 |
4480093655 | import tkinter.messagebox
import pandas as pd
from tkinter import *
from random import choice
BACKGROUND_COLOR = "#B1DDC6"
try:
data = pd.read_csv("data/words_to_learn.csv").to_dict('records')
except FileNotFoundError:
data = pd.read_csv("data/english_russian_words.csv").to_dict('records')
except pd.errors.E... | montekrist0/PythonBootCamp | day31/main.py | main.py | py | 2,873 | python | en | code | 0 | github-code | 36 |
40727926981 | import requests
STEAMDB_SALE_URL = "https://steamdb.info/sales/?merged=true&cc=cn"
class SaleRequester:
def __init__(self):
self.fake_header = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Charset': 'UTF-8,*;q=0.5',
'Accept-Enco... | KIDJourney/sbeamhub | crawler/requester.py | requester.py | py | 779 | python | en | code | 0 | github-code | 36 |
1327922070 | #!/usr/bin/env python
#
"""
Name: Jesus Hernandez Partner: Zechariah Neak
Email: jherna83@ucsc.edu Email: zneak@ucsc.edu
ID: 1420330
Course: CMPM146 Game AI
Professor: Daniel G Shapiro
\\\\\\\ Program 4 ///... | JjayaitchH/BehaviorTrees | behavior_tree_bot/bt_bot.py | bt_bot.py | py | 3,634 | python | en | code | 2 | github-code | 36 |
74574880744 | def process(fileName):
# Print data to console
print("")
print("-----------------------")
print(fileName)
print("-----------------------")
# Read the open file by name
inputFile = open(inputFilesDirectory + fileName + ".in", "rt")
# Read file
firstLine = inputFile.readline()
... | jaswanth001/Hashcode2020 | filehandling.py | filehandling.py | py | 1,517 | python | en | code | 0 | github-code | 36 |
29858374038 | '''
Created on 9 Apr 2019
@author: qubix
'''
from typing import Tuple
import numpy as np
from sklearn.base import BaseEstimator
from modAL.utils.data import modALinput
from math import floor
from asreview.query_strategies.max_sampling import max_sampling
from asreview.query_strategies.random_sampling import rando... | syuanuvt/automated-systematic-review | asreview/query_strategies/rand_max.py | rand_max.py | py | 3,622 | python | en | code | null | github-code | 36 |
27688294553 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('main', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='ima... | seanlinxs/content-console | main/migrations/0002_auto_20151201_1309.py | 0002_auto_20151201_1309.py | py | 681 | python | en | code | 0 | github-code | 36 |
31691135600 | """
Module: libfmp.c8.c8s1_hps
Author: Meinard Müller, Frank Zalkow
License: The MIT license, https://opensource.org/licenses/MIT
This file is part of the FMP Notebooks (https://www.audiolabs-erlangen.de/FMP)
"""
from collections import OrderedDict
import numpy as np
from scipy import signal
import librosa... | christofw/pitchclass_mctc | libfmp/c8/c8s1_hps.py | c8s1_hps.py | py | 8,127 | python | en | code | 20 | github-code | 36 |
26771069266 | from pyowm import OWM
from pyowm.utils import config
from pyowm.utils import timestamps
from config import owm_key
owm = OWM(owm_key)
mgr = owm.weather_manager()
# info on looking up cities.
#To make it more precise put the city's name, comma, 2-letter country code (ISO3166). You will get all proper cities in chosen ... | shelmus/owm_weather | weather_dictionary.py | weather_dictionary.py | py | 1,164 | python | en | code | 0 | github-code | 36 |
483095221 | import requests
from time import sleep
#听写单词扣词验证PRE环境
header={"Authorization":"Bearer eyJhbGciOiJIUzUxMiJ9.eyJqdGkiOiIxNTYyNjI5MDYwMDc1MTAyMjA5Iiwic3ViIjoie1wiaWRcIjoxNTYyNjI5MDYwMDc1MTAyMjA5LFwibW9iaWxlXCI6XCIrODYxODM4NDI1MzUwNlwifSIsImV4cCI6MTcwMTY3NzU1M30.ByAdhAfbxwS5tTbkbSJIPJXN6bIrzoOjeWMwn6JA8pimm2v1fMTXVJfdX... | wengyuanpei/pandaInterfaceTest | testCase/TingXieWordsCheck.py | TingXieWordsCheck.py | py | 4,624 | python | en | code | 0 | github-code | 36 |
73627488425 | '''
Dependencies: gettext, playsound
installing
$ pip install gTTS pyttsx3 playsound soundfile transformers datasets sentencepiece
$ pip install playsound (may need to use "$ pip install --upgrade wheel" if install fails)
'''
import gtts
from playsound import playsound
with open("sample.ini") as fileDescriptor:
d... | vvMaxwell/U5L2 | audio.py | audio.py | py | 428 | python | en | code | 0 | github-code | 36 |
30568657844 | import matplotlib.pyplot as plt
import numpy as np
plt.rcParams["text.usetex"] = True
LEGEND_FONTSIZE = 20
TICK_LABEL_FONTSIZE = 20
AXIS_LABEL_FONTSIZE = 20
TITLE_FONTSIZE = 20
CHART_SIZE = [10, 6]
LONG_CHART_SIZE = [10, 10]
def do_nothing_Rt_plot(Rt_dict, fname=None, ps=True):
fig, ax = plt.subplots(1, 1, figs... | jvanyperen/exploring-interventions-manuscript | plotting_scripts/do_nothing_plots.py | do_nothing_plots.py | py | 3,549 | python | en | code | 0 | github-code | 36 |
6241790730 | """
PRL 115, 114801 (2015)
Please keep the Python style guide of PEP8: pep8.org.
"""
# %%
import numpy as np
from scipy.special import jv
# %%
# Constants
C = 299792458
EV = 1.60217662e-19
# Machine parameters, to be checked from logbook
C1 = 1
C2 = 0.87
lambdaFEL = 50.52e-9 + 0.07e-9
# Other parameters
E0 = 1.1686... | DaehyunPY/FERMI_20149100 | Scripts/phase_locked.py | phase_locked.py | py | 2,821 | python | en | code | 0 | github-code | 36 |
2698417886 | from django.shortcuts import render
from markdown import markdown
from .models import *
from django.http import HttpResponseRedirect
def forbid_zhihu(request):
return render(request, 'forbidden_zhihu.html')
def index_redirect(request):
return HttpResponseRedirect('http://blog.alphamj.cn/')
def index(reque... | w-mj/cloud-server | blog/views.py | views.py | py | 2,222 | python | en | code | 0 | github-code | 36 |
70809120103 | #!/usr/bin/python3
"""
Started a Flask web application with these scripts
the web apps was listed on 0.0.0.0, port 5000
declare @app.teardown_appcontext and storage.close()
with routes /cities_by_states: display a HTML page:
in my route def option strict_slashes=False was used
"""
from flask import ... | Realyoung1/AirBnB_clone_v2 | web_flask/8-cities_by_states.py | 8-cities_by_states.py | py | 1,054 | python | en | code | 0 | github-code | 36 |
27193127483 | from collections import namedtuple
import re
import string
import logging
import pickle
class Files:
dictionary = "dataset/nettalk.data"
top1000words = "dataset/nettalk.list"
continuous = "dataset/data"
Word = namedtuple('Word', ['letters', 'phonemes', 'structure', 'correspondance'])
all_letters = strin... | dtingley/netwhisperer | corpus.py | corpus.py | py | 5,330 | python | en | code | 1 | github-code | 36 |
25314732697 | def solution(a):
min_val = min(a)
left, right = 0, len(a)-1
left_min, right_min = float('inf'), float('inf')
cnt = 0
while left < right:
if a[left] < left_min:
left_min = a[left]
cnt += 1
if a[right] < right_min:
right_min = a[right]
cn... | soohi0/Algorithm_study | 5월_4주/PRO_풍선터트리기/PRO_풍선터트리기_송영섭.py | PRO_풍선터트리기_송영섭.py | py | 467 | python | en | code | 0 | github-code | 36 |
70806954663 | import sys
import heapq
sys.stdin = open('input.txt')
def sol():
h = [(0, A, C)]
while h:
weight, node, remain = heapq.heappop(h)
if weights[node] <= weight:
continue
if node == B:
return weight
weights[node] = weight
for next_weight, next_node... | unho-lee/TIL | CodeTest/Python/BaekJoon/20182.py | 20182.py | py | 852 | python | en | code | 0 | github-code | 36 |
9915784655 | moves_number = int(input())
houses_str = input().split()
houses = [int(house) for house in houses_str if 1 <= int(house) <= 500]
current_position = 0
for move in range(moves_number):
input_data = input().split()
command = input_data[0]
index = int(input_data[1])
if command == 'Forward':
if (ind... | qceka88/Fundametals-Module | 19 Exam Preparation - Mid Exam/02santas_gitfts.py | 02santas_gitfts.py | py | 4,492 | python | en | code | 8 | github-code | 36 |
2722149163 | #! /usr/bin/env python
"""
Author: LiangLiang ZHENG
Date:
File Description
"""
from __future__ import print_function
import sys
import argparse
class Solution(object):
def combinationSum4(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
... | ZhengLiangliang1996/Leetcode_ML_Daily | Search/377_CombinationSumIV.py | 377_CombinationSumIV.py | py | 762 | python | en | code | 1 | github-code | 36 |
70123923304 | #! /usr/bin/env python
from sortrobot.neural import Classifier, OrientationClassifier
from PIL import Image
import sys, os
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-o", "--outdir", dest="outdir", default=None,
help="Directory to write sorted files. Default: same ... | AaronParsons/sortrobot | scripts/sr_sort_files.py | sr_sort_files.py | py | 1,118 | python | en | code | 0 | github-code | 36 |
9862393543 | import random
from flask import Flask, render_template, request
import tensorflow as tf
import numpy as np
from io import BytesIO
from PIL import Image
import base64
import os
# initiates flask app
app = Flask(__name__)
tf.get_logger().setLevel('ERROR')
model = None
model = tf.keras.models.load_model("prod_model.h5... | joeschueren/SketchDetect | main.py | main.py | py | 4,108 | python | en | code | 0 | github-code | 36 |
42528330524 | import requests
from bs4 import BeautifulSoup
import re
import json
import sys
import eventlet
import concurrent.futures
import Constants
class Scraper:
def __init__(self, url_to_check):
self.BASE_URL = url_to_check
self.dictionary = {}
@staticmethod
def get_html(url):
try:
... | Hayk1997gh/Broken_Link_Checker | Scraper.py | Scraper.py | py | 3,659 | python | en | code | 0 | github-code | 36 |
25983391444 | #!/usr/bin/env python3
"""Setup script."""
from setuptools import setup
from setuptools.command.test import test as TestCommand
import sys
class PyTest(TestCommand):
"""Setup the py.test test runner."""
def finalize_options(self):
"""Set options for the command line."""
TestCommand.finalize_o... | schedutron/spaced-repetition | setup.py | setup.py | py | 762 | python | en | code | 11 | github-code | 36 |
423347793 | import numpy as np
import yfinance as yf
import ta
import pandas as pd
from ta.trend import ADXIndicator
import pyxirr
def get_clean_df(ticker):
df = yf.Ticker(ticker).history(
period="10y").reset_index()[["Date", "Close", "Dividends", 'High', "Low"]]
df["Close"] = yf.download(tickers=ticker, period=... | victormorizon/stable-dividend-stock-trading-strategy | functions.py | functions.py | py | 5,229 | python | en | code | 1 | github-code | 36 |
24669291411 | import requests, json
import pandas as pd
import os
from datetime import date
#from mysql.connector import connect, Error
from flatten_json import flatten
from airflow.models import Variable
'''
Connects to the edamam API and sends a request
Return: The response object from the API query
'''
def airflow_var_test( ti... | JoshusTenakhongva/Mentorship_Repo | food_at_home/dags/airflow_functions.py | airflow_functions.py | py | 5,053 | python | en | code | 1 | github-code | 36 |
35217766012 | from itertools import product
import sys
from bs4 import BeautifulSoup
from selenium import webdriver
import time
import json
import random
sys.path.append('../..')
from lib import excelUtils
from lib import httpUtils
from lib import textUtil
from lib.htmlEleUtils import getNodeText
from lib.htmlEleUtils import getInn... | Just-Doing/python-caiji | src/work/20230110/bio-fount.py | bio-fount.py | py | 4,549 | python | en | code | 1 | github-code | 36 |
38097195752 | import matplotlib
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
import numpy as np
import pickle
import time
from os.path import exists
from GaslightEnv import GaslightEnv
from stable_baselines3 import PPO, TD3
from stable_baselines3.common.callbacks import CheckpointCallback
from stable_baselines3.common.e... | RajatSethi2001/Gaslight | GaslightEngine.py | GaslightEngine.py | py | 6,819 | python | en | code | 0 | github-code | 36 |
36728693283 | s=input()
s=list(s.split())
v='aeiouAEIOU'
t='qwrtyplkjhgfdszxcvnm'
c=0
for i in s:
if(i[0] in v and i[len(i)-1] in t):
c+=1
print(c)
| 21A91A05B8/codemind-python | count_words.py | count_words.py | py | 150 | python | en | code | 0 | github-code | 36 |
2846510453 | # Qus:https://practice.geeksforgeeks.org/problems/quick-sort/1
# User function Template for python3
class Solution:
# Function to sort a list using quick sort algorithm.
def quickSort(self, arr, low, high):
# code here
if(low >= high):
return
pi = self.partition(arr, low, ... | mohitsinghnegi1/CodingQuestions | Algorithms/Quick Sort .py | Quick Sort .py | py | 1,677 | python | en | code | 2 | github-code | 36 |
8127811600 | # Jogo de Craps. Faça um programa que implemente um jogo de Craps. O jogador lança
# um par de dados, obtendo a soma entre 2 e 12. Se na primeira jogada você tirar 7 ou 11,
# você ganhou. Se você tirar 2, 3 ou 12 na primeira jogada, isto é chamado de "craps" e
# você perdeu. Se na primeira jogada você somou 4, 5, 6, 8,... | Galaxyvideok/SI-IFES | SI_IFES/python_PROG_I/P4ex09.py | P4ex09.py | py | 2,014 | python | pt | code | 0 | github-code | 36 |
8676412955 | # -*- coding: utf-8 -*-
from odoo import fields, models
class ProductTemplate(models.Model):
_inherit = 'product.template'
pr_active = fields.Boolean('Is Asset')
asset_category_id = fields.Many2one(
'account.asset.category',
string='Asset Category',
company_dependent=True,
... | OpusVL/Odoo-Uk-Accounting | uk_account_asset/models/product.py | product.py | py | 864 | python | en | code | 0 | github-code | 36 |
16515229074 | import time
from werkzeug.wrappers import Response
import netmanthan
import netmanthan.rate_limiter
from netmanthan.rate_limiter import RateLimiter
from netmanthan.tests.utils import netmanthanTestCase
from netmanthan.utils import cint
class TestRateLimiter(netmanthanTestCase):
def test_apply_with_limit(self):
n... | netmanthan/Netmanthan | netmanthan/tests/test_rate_limiter.py | test_rate_limiter.py | py | 3,663 | python | en | code | 0 | github-code | 36 |
3784075084 | ###############################################################################
# make park model
###############################################################################
import cantera as ct
import numpy as np
import pandas as pd
import os
import matplotlib.pyplot as plt
import rmgpy
from rmgpy.data.thermo im... | comocheng/meOH-analysis | External_data/park_et_al_model_reconstruction/make_park_model.py | make_park_model.py | py | 14,690 | python | en | code | 0 | github-code | 36 |
32262924755 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('polls', '0011_response'),
]
operations = [
migrations.RemoveField(
model_name='question',
name='weig... | mikelaughton/harold | polls/migrations/0012_auto_20160804_0005.py | 0012_auto_20160804_0005.py | py | 630 | python | en | code | 0 | github-code | 36 |
32846235212 | #Goal of this project is to make a song that we like on youtube go directly to our spotify "liked youtube songs" playlist
""" STEPS
1 - Log into youtube
2 - Grab our playlist
3 - Create a new playlist
4 - Search the song
5 - Add the song to the spotify playlist
"""
import json
import os
import google_auth_oauthlib.fl... | GiovaniCenta/YoutubetoSpotify | spotyoutube.py | spotyoutube.py | py | 6,243 | python | en | code | 0 | github-code | 36 |
30176950739 | from functools import cache
def najcenejsa_pot(mat):
m, n = len(mat), len(mat[0])
@cache
def pomozna(i, j):
if i == m - 1 and j == n - 1:
return (mat[-1][-1], "o")
else:
moznosti = []
if i < m - 1:
cena_dol, pot_dol = pomozna(i + 1, j)
... | matijapretnar/programiranje-1 | 13-memoizacija-v-pythonu/predavanja/pot.py | pot.py | py | 772 | python | en | code | 6 | github-code | 36 |
27894781637 | def search_kth_simple(a1, a2, k_req):
i, j, k = 0, 0, 0
while i < len(a1) and j < len(a2) and k < k_req:
if a1[i] < a2[j]:
if k + 1 == k_req:
return a1[i]
i += 1
k += 1
else:
if k + 1 == k_req:
return a2[j]
... | stgleb/algorithms-and-datastructures | advanced/search_in_two_sorted.py | search_in_two_sorted.py | py | 1,299 | python | en | code | 0 | github-code | 36 |
4014271672 | # 문제 출처 : https://programmers.co.kr/learn/courses/30/lessons/12973
from collections import deque
def solution(s):
deq = deque(list(s))
# print(deq)
stack = []
while deq:
stack.append(deq.popleft())
if len(stack) > 1:
if stack[-1] == stack[-2]:
stack.pop()
... | ThreeFive85/Algorithm | Programmers/level2/removePair/remove_pair.py | remove_pair.py | py | 442 | python | en | code | 1 | github-code | 36 |
40212915722 | from chatbot import Chatbot
messages=[
'hi',
'i want to know something about the market',
'what about AAPL today',
'volume',
'the open price of TSLA and GOOG, please.',
'the interest of ABCDEF',
'MSFT',
'end'
]
def static_test(interpreter):
chatbot=Chatbot(interpreter)
for msg ... | yuminhao107/chatbot4iexfinance | chatbot4iexfinance/static_test.py | static_test.py | py | 361 | python | en | code | 0 | github-code | 36 |
2476057039 | # 🚨 Don't change the code below 👇
print("Welcome to the Love Calculator!")
name1 = input("What is your name? \n")
name2 = input("What is their name? \n")
# 🚨 Don't change the code above 👆
# Write your code below this line 👇
def true_count(name):
true_count = 0
true_count += name.count("t")
... | devProMaleek/learning-python | day-3-conditional-statement/love-calculator.py | love-calculator.py | py | 1,103 | python | en | code | 0 | github-code | 36 |
41844180206 | # Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def oddEvenList(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
if not head or not head.next or no... | zmxrice/leetcodetraining | 328-Odd-Even-Linked-List/solution.py | solution.py | py | 819 | python | en | code | 0 | github-code | 36 |
8754917915 | # -*- coding: utf-8 -*-
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
from odoo import models, fields, api, _
from odoo.exceptions import UserError
from odoo.osv.expression import NEGATIVE_TERM_OPERATORS, TERM_OPERATORS_NEGATION, TRUE_LEAF, FALSE_LEAF
from odoo.tools.safe_eval import safe_eval
impor... | odof/openfire | of_datastore_product/models/of_datastore_product.py | of_datastore_product.py | py | 34,286 | python | fr | code | 3 | github-code | 36 |
35860587241 | from fastapi import FastAPI, Depends
from sqlalchemy.orm import Session
from typing import List, Optional
from database import SessionLocal, engine
import models, schemas, crud
# データベース作成
models.Base.metadata.create_all(bind=engine)
app = FastAPI()
def get_db():
db = SessionLocal()
try:
yield db
... | ishi23/fastapi-streamlit | conf_app_test/sql_app/main.py | main.py | py | 3,816 | python | en | code | 0 | github-code | 36 |
27234809133 | from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import sys
class Window(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle('Online whiteboard')
self.setGeometry(100, 100, 800, 900)
self.image = QImage(self.size(), QImage.Fo... | Azhar-ka29/whiteboard | main.py | main.py | py | 6,169 | python | en | code | 0 | github-code | 36 |
19082484272 | import cv2
import sys
import numpy as np
class Context:
def __init__(self):
self.sliders = {}
self.toggles = {}
self._redraw = False
self.cur_buf_id = 0;
self.buffers = []
self.buffers_by_name = {}
self._once = []
self._store = {}
cv2.namedWi... | Phaiax/sudoku | src/context.py | context.py | py | 3,957 | python | en | code | 0 | github-code | 36 |
14054446569 | import numpy as np
import cv2
from .kalman import Kalman
#https://github.com/uoip/monoVO-python
def get_R(alpha):
M = np.array([[np.cos(np.pi*alpha/180), np.sin(np.pi*alpha/180)],
[-np.sin(np.pi*alpha/180), np.cos(np.pi*alpha/180)]
])
return M
def show_direction(image, t, M):
line_thic... | vvabi-sabi/drone_RK3588 | addons/odometry/odometry.py | odometry.py | py | 2,434 | python | en | code | 2 | github-code | 36 |
6172988761 | from google.cloud import texttospeech
from pydub import AudioSegment
from pydub.playback import play
google_credentials_file = "PATH_TO_YOUR_GOOGLE_CREDENTIALS_JSON"
# Set the environment variable for Google Text-to-Speech API
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = google_credentials_file
# Initialize Google... | qiusiyuan/gpt-live-stream | src/bilibiligptlive/tts.py | tts.py | py | 1,133 | python | en | code | 0 | github-code | 36 |
23382530066 | # -*- coding: utf-8 -*-
import re
import json
import time
import scrapy
import requests
import itertools
from lxml import etree
from hashlib import md5
from overseaSpider.items import ShopItem, SkuAttributesItem, SkuItem
from overseaSpider.util.scriptdetection import detection_main
from overseaSpider.util.utils import... | husky-happy/templatespider | overseaSpider/spiders/xg/samys.py | samys.py | py | 6,903 | python | en | code | 0 | github-code | 36 |
30397052082 | from os.path import join
from typing import Optional
from dagger.dag_creator.airflow.operator_creator import OperatorCreator
from dagger.dag_creator.airflow.operators.redshift_sql_operator import (
RedshiftSQLOperator,
)
class RedshiftLoadCreator(OperatorCreator):
ref_name = "redshift_load"
def __init__... | siklosid/dagger | dagger/dag_creator/airflow/operator_creators/redshift_load_creator.py | redshift_load_creator.py | py | 6,239 | python | en | code | 7 | github-code | 36 |
71364721383 | def qaq():
string = list(input())
n = len(string)
count = 0
for i in range(0, n):
for j in range(i+1, n):
for k in range(j+1, n):
if(string[i] == "Q" and string[j] == "A" and string[k] == "Q"):
count += 1
print(count)
if __name__... | humanolaranja/MC521 | 6/g/index.py | index.py | py | 346 | python | en | code | 0 | github-code | 36 |
31524035648 | import pandas as pd
import numpy as np
from typing import List
from loguru import logger
from meche_copilot.utils.num_tokens_from_string import num_tokens_from_string
def combine_dataframe_chunks(dfs: List[pd.DataFrame]) -> pd.DataFrame:
if all(df.shape[1] == dfs[0].shape[1] for df in dfs):
return pd.conca... | fuzzy-tribble/meche-copilot | meche_copilot/utils/chunk_dataframe.py | chunk_dataframe.py | py | 4,373 | python | en | code | 1 | github-code | 36 |
43777238511 | import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
import time
MIN_MATCH_COUNT = 10
img_sample = cv.cvtColor(cv.imread("./img/dataset/9.png",cv.IMREAD_COLOR),cv.COLOR_BGR2GRAY)
img_q = cv.cvtColor(cv.imread("./img/query/3.png",cv.IMREAD_COLOR),cv.COLOR_BGR2GRAY)
sift = cv.SIFT_create()
keypoints_1... | Laurie-xzh/AI-Practice | CV/Point_Feature_Match/test.py | test.py | py | 2,845 | python | en | code | 0 | github-code | 36 |
2986533119 |
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.by import By
import time
from constants import URL
def get_product_properties(browser):
properties = {}
search_result = browser.find_element(By.CLASS_NAME, "sooqrSearchResults")
title = search_result.fin... | Felix-95/programming_challenge | src/scraper.py | scraper.py | py | 3,238 | python | en | code | 0 | github-code | 36 |
72516592744 | import time
import datetime
from timeit import default_timer as timer
import settings
from pymongo import MongoClient
from faker import Faker
from bson.decimal128 import Decimal128
import random
fake = Faker()
####
# Start script
####
startTs = time.gmtime()
start = timer()
print("================================")
p... | blainemincey/generate_sample_data | generate_transactions_data.py | generate_transactions_data.py | py | 2,781 | python | en | code | 1 | github-code | 36 |
74643015143 | from PyQt4.QtGui import QMainWindow,QListWidgetItem, QMessageBox, QTableWidgetItem, QInputDialog,QLineEdit, QFileDialog
from Ui_MainWindow import Ui_MainWindow
from Gramaticas.Producao import Producao
from Gramaticas.Gramatica import Gramatica, ExcecaoConstruirGramatica
from Automatos.Automato import Automato, ExcecaoM... | pdousseau/formal_language | src/Gui/MainWindow.py | MainWindow.py | py | 37,282 | python | pt | code | 2 | github-code | 36 |
73325698663 | from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn import tree
import pydotplus
iris = load_iris()
iris_X = iris.data
iris_Y = iris.target
X_train, X_test, y_train, y_test = train_test_split(
iris_X, iris_Y, test_size=0.3)
clf = tree.DecisionTreeClassifier()
c... | beancookie/sklearn | tree.py | tree.py | py | 473 | python | en | code | 0 | github-code | 36 |
14029297694 | import asyncio
import datetime
import os
import discord
from new_skyline2 import SKYLINE
token = os.environ['token']
loop = asyncio.get_event_loop()
client = SKYLINE(loop=loop, intents=discord.Intents.all())
async def main():
now = datetime.datetime.utcnow()
endtime = now.replace(hour=17, minute=1, second=... | Kesigomon/Skyline_py | run.py | run.py | py | 870 | python | en | code | 7 | github-code | 36 |
39157550873 | #!/usr/bin/env python3
import click
import sys
from pathlib import Path
from RecBlast.RecBlast import RecSearch
import RecBlast.WarningsExceptions as RBWE
def deduce_searchtype(query_type, db_type, search_algorithm):
# a bit of cleaning
query_type = query_type.lower()
db_type = db_type.lower()
search... | docmanny/smRecSearch | code/rbb.py | rbb.py | py | 6,528 | python | en | code | 1 | github-code | 36 |
18394258634 | class Solution:
def findAndReplacePattern(self, words: List[str], pattern: str) -> List[str]:
def matches_pattern(word, pattern):
mapping1 = dict()
mapping2 = dict()
for i in range(len(word)):
if word[i] not in mapping1:
ma... | ileenf/Data-Structures-Algos | String/find_replace_pattern.py | find_replace_pattern.py | py | 879 | python | en | code | 0 | github-code | 36 |
40376403155 | import os, sys, re, string
sys.path.append('../../framework')
import bldutil
progs = 'fftwave1dd cfftwave1dd cfftwave1in fftwave2p fftwave3p cfftwave2 cfftwave3 cfftexpmig2 fftexp0test fd2d cfftexp2 cfftexp2test fdtacc wcfftexp2 wcfftexp2adj cfftwave2nsps cfftwave2mix2 wavemixop lrosrtm2 lroslsrtm2 stack2d cstack2d ff... | gewala/mada | user/jsun/SConstruct | SConstruct | 4,351 | python | en | code | 7 | github-code | 36 | |
15826519032 | import json
import logging
logging.basicConfig(level=logging.DEBUG)
import argparse
import uuid
import emission.storage.decorations.user_queries as esdu
import emission.net.ext_service.push.notify_usage as pnu
import emission.net.ext_service.push.query.dispatch as pqd
import emission.core.wrapper.user as ecwu
import e... | e-mission/e-mission-server | bin/monitor/prompt_upgrade_to_latest.py | prompt_upgrade_to_latest.py | py | 4,640 | python | en | code | 22 | github-code | 36 |
7813711056 | """clean up unused tables
Create Date: 2022-05-02 17:19:09.910095
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "20220502_171903"
down_revision = "20220425_225456"
branch_labels = None
depends_on = None
def upgrade():
op.drop_table("region_types", schema="aspen")
op.drop_ta... | chanzuckerberg/czgenepi | src/backend/database_migrations/versions/20220502_171903_clean_up_unused_tables.py | 20220502_171903_clean_up_unused_tables.py | py | 1,530 | python | en | code | 11 | github-code | 36 |
36684803245 | import pandas as pd
import tekore as tk
from config import CLIENT_ID, CLIENT_SECRET
class SpotifyData:
def get_one_song_data(self, query):
token = tk.request_client_token(CLIENT_ID, CLIENT_SECRET)
spotify = tk.Spotify(token)
searched_track = spotify.search(query, types=('track',), market=... | SINEdowskY/spotify-songs-classification | spotify_data.py | spotify_data.py | py | 3,351 | python | en | code | 1 | github-code | 36 |
23002903726 | import sqlite3
connection = sqlite3.connect('databasePeças.db')
c = connection.cursor()
def CREATE():
# PEÇA #
c.execute('CREATE TABLE IF NOT EXISTS PECA (\
`codigo` VARCHAR(5) NOT NULL,\
`nomeSingular` VARCHAR(25) NOT NULL,\
`nomePlural` VARCHAR(25) NOT NULL,\
`gene... | GilbertoMJ/Projeto-Andaimes | Scripts Banco de Dados/criar_database_Peça.py | criar_database_Peça.py | py | 473 | python | en | code | 0 | github-code | 36 |
43110008124 | from codecs import open
from os import path
import re
from setuptools import setup, find_packages
dot = path.abspath(path.dirname(__file__))
# get the dependencies and installs
with open(path.join(dot, 'requirements.txt'), encoding='utf-8') as f:
all_reqs = f.read().split('\n')
install_requires = [x.strip() for ... | rarescosma/env.cloudy | setup.py | setup.py | py | 1,466 | python | en | code | 0 | github-code | 36 |
2922309209 | import numpy as np
import json
def dump_to_file(arrays, filename):
arrays_for_dump = {}
for key, array in arrays.items():
if isinstance(array, np.ndarray):
arrays_for_dump[key] = array.tolist()
else:
arrays_for_dump[key] = array
if isinstance(array, dict):
try:
for k,v i... | sdemyanov/tensorflow-worklab | classes/utils.py | utils.py | py | 951 | python | en | code | 24 | github-code | 36 |
32637130659 | from image import PGMImage
import random
from gaussian import convolve
def apply_median_filter(image_pixels, filter_size):
offset = filter_size // 2
output = [[0] * len(row) for row in image_pixels]
for i in range(offset, len(image_pixels) - offset):
for j in range(offset, len(image_pixels[0])... | charalampidi-gabriella/cs474-pa2 | median.py | median.py | py | 1,204 | python | en | code | 0 | github-code | 36 |
32259680615 | # pylint: disable=W0613
from flask import request
from injector import inject
from app import app
from app.regali_app.list.application.use_cases import (
get_gift_list,
get_gift_lists,
delete_gift_list,
create_gift_list,
delete_gift_list_element,
create_gift_list_element
)
from app.regali_app.s... | MikelDB/regali-app | api/app/regali_app/shared/infrastructure/routes/giftlist.py | giftlist.py | py | 2,209 | python | en | code | 0 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.