seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35608141070 | r"""
Geophysical Electromagnetic modelling
=====================================
In this example we use `pyfftlog` to obtain time-domain EM data from
frequency-domain data and vice versa. We do this by using analytical
halfspace solution in both domains, and comparing the transformed responses to
the true result. The ... | prisae/pyfftlog | examples/geophysical_em.py | geophysical_em.py | py | 5,105 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "numpy.logspace",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "empymod.analytical",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "empymod.analytical",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.log10",
... |
25866967640 | from __future__ import print_function
import client
import numpy as np
import wx
import subprocess
import shutil
import time
import range as Range
import takeoff
import datetime
import argparse
#select the UI abstract superclass to derive from
UI=client.AbstractmatplotlibUI
# Derive the demo-specific GUI class from t... | EPCCed/wee_archie | windtunnel/windtunnel_ui.py | windtunnel_ui.py | py | 22,059 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "client.AbstractmatplotlibUI",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "wx.BoxSizer",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "w... |
7905587644 | from itertools import chain
from flask_restful import Resource
from flask import request
from pylon.core.tools import log
from tools import api_tools
class ProjectAPI(api_tools.APIModeHandler):
def get(self, project_id, prompt_name):
return self.module.get_versions_by_prompt_name(project_id, prompt_name... | RavshanovUsmonbek/prompts | api/v1/versions.py | versions.py | py | 1,286 | python | en | code | null | github-code | 18 | [
{
"api_name": "tools.api_tools.APIModeHandler",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tools.api_tools",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.request.json",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_nam... |
31391019903 | import pytest
@pytest.mark.parametrize(
('page', 'result'),
[
('/', 200),
('/about', 200),
('/output_model', 200),
('/api/', 200),
('/api/docs', 200),
('/api/v1/model', 200),
('/api/v1/model?reach=4&hours=20', 200)
]
)
def test_pages(client, page, re... | trhoang2368/flagging | tests/test_site.py | test_site.py | py | 792 | python | en | code | null | github-code | 18 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 4,
"usage_type": "attribute"
}
] |
7639390525 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn.ensemble import IsolationForest
# 1. Importar los datos
df_new = pd.read_csv('tracking_data11.csv')
# 2. Filtrar IDs que han aparecido al menos 2 segundos (60 frames para un video de 30... | pabloriascos/TFM | Isolation_Forest.py | Isolation_Forest.py | py | 1,833 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.IsolationForest",
"line_number": 29,
"usage_type": "call"
},
{
... |
14468716726 | #!/usr/bin/env python
"""
Output the CSV data (console) which shows some typical domain configuration errors
(when we can connect website.name but can't www.website.name or https://website.name)
Ignores the domain name if all variants are failed (assuming the wrong domain)
Configuration: check local.env.sample file
"""... | AusDTO/disco_crawl | post_domain_aliases/process_domain_aliases.py | process_domain_aliases.py | py | 3,176 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
36458936794 | #!/usr/bin/env python3
"""
=> Help: this script scrapes a days' directory for subscriber amount for channels.
The default is to scrape the current day infodate.
An argument (--daysbefore=<n>) may be used to achieve a number of days in the past.
Example:
#thisscript --daysbefore=2
will scrape the day befor... | alclass/scrapingYTMembershipNumbersSwDv | upd_subscribers_scrape_to_db.py | upd_subscribers_scrape_to_db.py | py | 2,938 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.date.today",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.scra... |
37679761182 | import unittest
from compare_all import compare_all
from utils import fact, broken_fact
from math import factorial
class TestCompareAll(unittest.TestCase):
def test_compare_all_fact(self):
self.assertEqual(
compare_all(fact, factorial, [0, 1, 5]),
[True, True, True]
)
... | Kehrlann/python-functions | test_compare_all.py | test_compare_all.py | py | 538 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "compare_all.compare_all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.fact",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "math.fac... |
40485151250 | import sys
import numpy
import random
'''
WRITE YOUR CODE BELOW.
'''
from numpy import zeros, float32
# pgmpy͏︆͏󠄃͏󠄌͏󠄍͏󠄂͏️͏︆͏︌͏󠄀
import pgmpy
from pgmpy.models import BayesianModel
from pgmpy.factors.discrete import TabularCPD
from pgmpy.inference import VariableElimination
#You are not allowed to use following s... | rsomann/Bayesian-Networks-Simulation | submission.py | submission.py | py | 15,080 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pgmpy.models.BayesianModel",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pgmpy.factors.discrete.TabularCPD",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pgmpy.factors.discrete.TabularCPD",
"line_number": 51,
"usage_type": "call"
... |
23243703848 | import json
import os
import argparse
from collections import defaultdict
def main(args):
queries = []
with open(args.input_file, 'r') as f:
for line in f:
queries.append(json.loads(line))
clusters_by_engine = defaultdict(lambda : defaultdict(list))
for i, q in enumera... | FMInference/DejaVu | Decentralized_FM_alpha/scripts/a100_inf_scripts/split_queries.py | split_queries.py | py | 2,614 | python | en | code | 86 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
39719666024 | import numpy as np
from gym import error
try:
import mujoco_py
except ImportError as e:
raise error.DependencyNotInstalled("{}. (HINT: you need to install mujoco_py, and also perform the setup instructions here: https://github.com/openai/mujoco-py/.)".format(e))
def robot_get_obs(sim):
"""Returns all joi... | AI4Finance-Foundation/FinRL-Tutorials | DQN-DDPG_Stock_Trading/gym/envs/robotics/utils.py | utils.py | py | 3,693 | python | en | code | 599 | github-code | 18 | [
{
"api_name": "gym.error.DependencyNotInstalled",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gym.error",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
40725930632 | import numpy as np
import matplotlib.pyplot as plt
def tanh(x):
return np.tanh(x)
def relu(x):
return np.maximum(x, 0)
def sigmoid(x):
return 1/(1 + np.exp(-x))
def derivative_tanh(x):
return (1 - np.power(x, 2))
def derivative_relu(x):
return np.array(x > 0, dtype = np.float32)
def initialize... | Coding-Lane/L2-Regularization | model_utils.py | model_utils.py | py | 3,786 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "numpy.tanh",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 14,... |
3703785950 | import scrapy
from scrapy.loader import ItemLoader
from apomio.items import ApomioItem
class ApomioSpider(scrapy.Spider):
name = "apomio"
productXPZN = {}
def start_requests(self):
urlstem = 'https://www.apomio.de/suche?query='
pzns = [
'171865',
'1587486',
... | bobby096310/scrapy-project | apomio/spiders/apomio_spider.py | apomio_spider.py | py | 2,384 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scrapy.loader.ItemLoader",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "apomio.item... |
29872929262 | import sys
sys.stdin = open('등산로.txt', 'r')
from collections import deque
def dig(r, c, dig_t):
queue = deque([[r, c, 1, dig_t, MAP[r][c], [r, c]]])
max_lv = 0
while queue:
ny, nx, lv, dig, h, visited = queue.popleft()
max_lv = max(max_lv, lv)
for i in range(4):
ty, tx ... | essk13/Algorithm | 01_problem/python/2021/09/0923/등산로 조성.py | 등산로 조성.py | py | 1,750 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
7072080208 |
import pandas as pd
from urllib.parse import urlparse
from tld import get_tld
import re
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
url_list=pd.read_csv('malicious_phish.csv')
url_list.loc[651191,'url']='... | Jai11Saxena/Malicious-url-with-spoof-page-detection- | malicious url detection/main.py | main.py | py | 4,678 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line... |
32012587540 | from itertools import combinations
from collections import defaultdict
def solution(infos, querys):
answer = []
# 딕셔너리 초기화
info_dict = defaultdict(list)
# 각각의 요소 딕셔너리에 넣기 (마지막값은 score)
for info in infos:
temp = info.split(" ")
key = temp[0:-1]
score = int(temp[-1])
#... | saehyen/Python_algorithm | RankingSearch/RankingSearch2.py | RankingSearch2.py | py | 1,698 | python | ko | code | 5 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 15,
"usage_type": "call"
}
] |
32936319921 | from django.shortcuts import render
# Create your views here.
from rest_framework import generics
from quiz.serializers import CategorySerializer, QuestionSerializer, QuizSerializer
from .models import Options, Category, Question, Quiz
from django_filters.rest_framework import DjangoFilterBackend
### search filter
... | tariksitki/Cohort-11-Django-Class-Notes | Quiz_App_Session_22/quiz/views.py | views.py | py | 1,717 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.Category.objects.all",
"line_number": 16,
"usage_type": "call"
... |
29079900951 | from wiki_requests import get_topic_page
import re
from bs4 import BeautifulSoup as BS
def get_topic_words(topic):
html_content = get_topic_page(topic)
more_link_word = get_some_more_links_word(html_content)
if len(more_link_word):
#Ограничение тремя ссылками, чтобы быстрее было
for word ... | GrishinAnton/python-start | OOP-course/requestWiki/main.py | main.py | py | 1,629 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "wiki_requests.get_topic_page",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "wiki_requests.get_topic_page",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "b... |
8929630194 | from django.urls import path
from .views import *
urlpatterns = [
path('login/', login_user, name='login'),
path('register/', register_user, name='register'),
path('redirect-user/base-location/', redirect_origin, name='redirect_origin'),
path('logout/', logout_user, name='logout'),
# Staff Area
... | jahir-raihan/E-Commerce-Project | Site BackEnd/E_Commerce_site/user/urls.py | urls.py | py | 1,922 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
8731874852 | from django.http import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404, redirect
from django.urls import reverse
from Polls.models import Simulacao_cenarios
from Polls.portfolio import calculaPortfolio
from Polls.security import checkAccess
from Polls.simulation import calculaSimulacoes
fro... | deguedess/ipaa_new | IPAA_APP/Polls/views.py | views.py | py | 10,594 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "forms.RegisterUserForm",
"line_number": 31,
"usage_type": "call"
},
{
"api_name... |
22544454572 | """
How do we call other functions from `main`?
The important case is when this function wants to say or do anything on behalf of the bot.
We call such functions "Routines", and to call them, you need to use `yield Subroutine`.
In the following example, we call `questionnaire` subroutine and then get the returned valu... | okulovsky/kaia | demos/eaglesong/example_02_questionnaire_1.py | example_02_questionnaire_1.py | py | 1,184 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "name"
}
] |
272543002 | import yfinance as yf
stock_pair = []
def checar_precos():
first_pair = []
second_pair = []
for i in range(0, len(stock_pair),1):
if i == 0:
ticker = yf.Ticker(stock_pair[i])
price = ticker.info['regularMarketPrice']
name = ticker.info['symbol']
fi... | joaoxfernando/AlertaSpread | checa_precos.py | checa_precos.py | py | 1,367 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "yfinance.Ticker",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yfinance.Ticker",
"line_number": 18,
"usage_type": "call"
}
] |
25575156516 | '''
Link : https://www.acmicpc.net/problem/14891
Difficulty : GOLD-5
Category : 구현, 시뮬레이션
Title : 톱니바퀴
'''
import sys
from collections import deque
# 데이터 입력
gearStatusList = list()
for i in range(4):
gearStatusList.append(deque(list(sys.stdin.readline().rstrip())))
K = int(sys.stdin.readline().... | devju94/baekjoon-solutions | solutions/g5_14891.py | g5_14891.py | py | 2,412 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readlin... |
75133725799 | """
Library to provide many functions for loading, manipulating,
rotating, cropping, etc. on volumetric data in Numpy format.
Also functions for loading from NiFTi.
"""
from __future__ import print_function
import numpy as np
import copy
import os, sys, shutil, glob
from skimage.transform import resize, rescale
import... | jcausey-astate/ai_campus_kits19 | kits_volume_utils.py | kits_volume_utils.py | py | 27,144 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
16108430600 | import pygame
class Paddle:
WHITE = (255,255,255)
VEL = 6
def __init__(self, x, y, width, height, velocity = VEL, color = WHITE):
self.x = self.original_x = x
self.y = self.original_y = y
self.width = width
self.height = height
self.color = color
self.velo... | Dense18/Pong | Paddle.py | Paddle.py | py | 682 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.draw.rect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 16,
"usage_type": "attribute"
}
] |
9805001850 | import numpy as np
import cv2
image = cv2.imread("images/minMax.jpg", cv2.IMREAD_GRAYSCALE)
if image is None: raise Exception("영상파일 읽기 오류")
min_val, max_val, a, b = cv2.minMaxLoc(image)
ratio = 255 / (max_val - min_val)
dst = np.round((image - min_val) * ratio).astype('uint8')
min_dst, max_dst, c, d = cv2.... | nahyeongjin1/PoseEstimation | CHAPTER05/11.image_min_max.py | 11.image_min_max.py | py | 570 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.minMaxLoc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"li... |
15535506242 | import os
from datetime import datetime
from Settings.AppInfo import AppInfo
from PyUtils.DirUtils import DirUtils
from Settings.ProfileManager import ProfileManager
class ReportAudioDetails:
HTML_REPORT_HEADER = """<!DOCTYPE html>
<html lang="en">
<head>
<title>Bootstrap Example</title>
<meta charset="utf-8... | AndersonPaschoalon/CKsQuestDialogManager | Gui/ReportAudioDetails.py | ReportAudioDetails.py | py | 9,193 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 143,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 146,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 146,
"usage_type": "name"
},
{
"api_name": "PyUtils.DirUtils... |
4376003675 | # %%
import pandas as pd
from PIL import Image
# %%
bb_box = pd.read_csv("/home/jongwook95.lee/vision/Slive/ScaledYOLOv4-yolov4-csp/our_data/head-export.csv")
bb_box.head()
category_dict = dict()
category_dict['person'] = 0
category_dict['safehat'] = 1
# %%
for image_name in list(set(bb_box['image'])):
temp_bb_... | ollehJW/scaled_yolov4 | preprocessing.py | preprocessing.py | py | 1,354 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
}
] |
4005730454 | import itertools
from absl.testing import parameterized
import numpy as np
from tensorflow.core.framework import full_type_pb2
from tensorflow.python import tf2
from tensorflow.python.eager import backprop
from tensorflow.python.eager import context
from tensorflow.python.eager import def_function
from tensorflow.pyt... | tensorflow/tensorflow | tensorflow/python/ops/weak_tensor_math_ops_test.py | weak_tensor_math_ops_test.py | py | 34,989 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.ops.weak_tensor_test_util.convert_to_input_type",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.ops.weak_tensor_test_util",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.ops.weak_ten... |
70985162599 | # -*- coding: utf-8 -*-
import threading
import time
from enum import Enum, unique
from urllib.parse import urlparse
from lxml import etree
from tempfile import NamedTemporaryFile
from pathlib import Path
from pathvalidate import sanitize_filename
from PySide6.QtCore import QObject
from scihub_eva.globals.preferenc... | leovan/SciHubEVA | scihub_eva/api/scihub_api.py | scihub_api.py | py | 11,778 | python | en | code | 941 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "enum.unique",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "enum.unique",
"line_number": 30,
... |
70878216039 | import numpy as np
import nibabel as nib
import os
import glob
import pandas as pd
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
class Evaluate:
def __init__(self, conf):
self.config = conf
def get_whole_tumor_mask(self, data):
return data > 0
def get_tumor_cor... | fragalassi/ot_da_v0 | training_testing/evaluate.py | evaluate.py | py | 3,230 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.logical_or",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_... |
3738053864 | """
This script summarized DE results.
"""
import numpy as np
import pandas as pd
import session_info
from pyhere import here
from functools import lru_cache
from scipy.stats import mannwhitneyu
@lru_cache()
def get_annotation(feature, tissue):
"""
Get the annotation file based on feature and tissue.
"""
... | LieberInstitute/sex_differences_sz | interaction_sex_sz/by_sex_sz/tissue_comparison/summary_table/_h/generate_summary.py | generate_summary.py | py | 7,893 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pyhere.here",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "functools.lru_cache",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
34984703884 | # Nikko Rush
# 7/11/17
import matplotlib.pyplot as plt
# Plot the Time Series for the given idea
def plot_idea_timeseries(idea_name, idea_numbers, ts_matrix):
ts_data = ts_matrix[idea_numbers[idea_name]]
start = 1980
end = 2015
plt.plot(ts_data)
plt.show()
def show_time_series(idea_numbers, t... | nwrush/Visualization | Visualizer/frames/TimeSeriesVisualizer.py | TimeSeriesVisualizer.py | py | 879 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matpl... |
37965336870 | import requests
from PIL import Image
from io import BytesIO
from urllib.robotparser import RobotFileParser
from json import load
from os.path import exists
import logging
robots = RobotFileParser()
robots.set_url("https://www.unsplash.com/robots.txt")
robots.read()
logging.basicConfig(
format="%(asctime)... | RitamDey/Everything | python/scraping/Unsplash/spider.py | spider.py | py | 1,150 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "urllib.robotparser.RobotFileParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_nam... |
42730620852 | import os
from datetime import datetime, timedelta
import numpy as np
import pdb
import pandas as pd
import plotly.express as px
import streamlit as st
from src.frontend import get_config, get_kds
from src.frontend import create_gsheets_database_connection, run_query
conn = create_gsheets_database_connection()
dirn... | carlosbrown2/league-valorant-frontend | pages/1 Players.py | 1 Players.py | py | 7,931 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "src.frontend.create_gsheets_database_connection",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_... |
407441293 | from typing import List
from copy import deepcopy
class Side(object):
def __init__(self, height: int, width: int):
self.__array = [[0 for i in range(width)] for k in range(height)]
@property
def value(self) -> List[List[int]]:
return self.__array
@property
def width(self) -> int... | andrii-z4i/iqfit | python/src/models.py | models.py | py | 7,023 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number"... |
16944877864 | from django.urls import include, path
app_name = "api"
# urls from apps
urlpatterns = [
path(r'menu/', include('backend.menu.urls')),
path(r'feedback/', include('backend.feedback.urls')),
path(r'cart/', include('backend.cart.urls')),
path(r'booking/', include('backend.booking.urls')),
# path(r'a... | Samir-E/project_o | config/api_router.py | api_router.py | py | 446 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.includ... |
74011959079 | # _*_ coding: utf-8 _*_
'''
Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors.
OJ's undirected graph serialization:
Nodes are labeled uniquely.
We use # as a separator for each node, and , as a separator for node label and each neighbor of the node.
As an example, consid... | buhuipao/LeetCode | 2017/graph/clone_graph.py | clone_graph.py | py | 2,100 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
}
] |
7346831506 | import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
img = cv.imread(r"C:\Users\danie\Desktop\Python Practice\pythonProject\Lib\20.jpeg")
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data() #mnist= the stock dataset of handwritten d... | Danimal94/Daniels-Random-Code | test.py | test.py | py | 2,523 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.utils.normalize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tenso... |
36802210377 | import json
from types import MethodType
from browser import document, html, ajax, window # type: ignore
import data
from data import START_POS, SCALE, PIXELS, Ability, abilities
def factory_activate_abl(box):
ability_id = box.id.lstrip('box-')
div = box.parent
spec_id = div.id.lstrip('options-')
s... | kakxow/cd_planner | static/scripts/script.py | script.py | py | 15,757 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "browser.document",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "browser.document",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "data.specs",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "browser.document",
... |
70883551079 | import os
import shutil
import uuid
import zipfile
from executeAutoTranslater import autoTranslate
from magicBeing import *
def makeZip(sourceDir, outFilename):
zipf = zipfile.ZipFile(outFilename, "w", 8)
pre_len = len(os.path.dirname(sourceDir))
for parent, dirnames, filenames in os.walk(sourceDir):
... | EillesWan/RDTM-DevelopmentTools | 自动更新exe指令格式/updateFunction.py | updateFunction.py | py | 1,815 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_numb... |
8395251034 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 22 23:35:10 2020
@author: hao
"""
import pandas as pd
import os
import matplotlib.pyplot as plt
import numpy as np
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
import itertools
from sklearn.metrics imp... | wenhaohsu/undergrade | sleep_data_process/logistic_2stage.py | logistic_2stage.py | py | 6,621 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.plotting.register_matplotlib_converters",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.cm",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 43,
"usage_type": "name"
},... |
13518891244 | import os
import time
from os import walk
from os.path import exists
from tkinter import filedialog
from openpyxl import Workbook
from tkinter import *
def time_measurement_decorator(some_function):
def wrapper(*args, **kwargs):
start = time.time()
result = some_function(*args, **kwargs)
e... | Sunzheini/dir_walker | main.py | main.py | py | 4,139 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 69,... |
72234962919 | import os
from celery import Celery
from celery.schedules import crontab
# set the default Django settings module for the 'celery' program.
# prod settings
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "core.settings_docker_prod")
# dev settings - only for development
# os.environ.setdefault("DJANGO_SETTINGS_MODUL... | gorgeous-george/smart_tracker | tracker_core/core/celery.py | celery.py | py | 1,259 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ.setdefault",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "celery.Celery",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "celery.schedules.cr... |
31201463673 | from django.template import RequestContext
from dj_node.nodes.db import Db
from dj_node.nodes.node import NodeTemplate, Node, perm_check
from dj_node.nodes.utils import Utils
class FormNode(Node):
x_template = "form/form.html"
x_template_html = "form/z_form.html"
x_process_get = False
x_submit = "Subm... | jackyu-it/dj_node | nodes/form.py | form.py | py | 2,871 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dj_node.nodes.node.Node",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dj_node.nodes.node.perm_check",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dj_node.nodes.node.NodeTemplate.fallback_template",
"line_number": 42,
"usage_type":... |
28111043650 | # -*- coding: UTF-8 -*-
import SamplingFrameArray, GetSingleFrameSampling, RegionMap
from CryptoAlgorithms import HashBySha1
from GlobalData import MagicNum
class GetVideoSampling:
def __init__(self,filename,framenum,gt,X,x0,u):
self.__fnum = framenum
self.__gt = gt
self.__X = X
sel... | oneApple/ContentThreadPool | VideoSampling/GetVideoSampling.py | GetVideoSampling.py | py | 2,610 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "wx.CallAfter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "wx.lib.pubsub.Publisher",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "GlobalData.CommonData.ViewPublisherc",
"line_number": 20,
"usage_type": "attribute"
},
{
"ap... |
15528671043 | from os import getenv
from subprocess import run
from pathlib import Path
HOME_DIR = getenv('HOME')
class GoogleDriveHandler:
def __init__(self,
local_root: str = f"{HOME_DIR}/GoogleDrive",
drive_binary: str = f"{HOME_DIR}/bin/go/packages/bin/drive",
default_ti... | technion-nlp-lab/utils | GoogleDriveHandler.py | GoogleDriveHandler.py | py | 2,045 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 45,
"usage_type": "call"
}
] |
5244607359 | from django.core.paginator import Paginator
from django.http import Http404
from django.contrib.auth.decorators import permission_required, login_required
from django.contrib.auth.views import redirect_to_login
from django.shortcuts import render_to_response, get_object_or_404
from django.template.context import Reques... | kmshi/miroguide | channelguide/notes/views.py | views.py | py | 2,014 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.http.Http404",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "channelguide.channels.models.Channel",
"line_number": 18,
"usage_type": "argument"... |
30528675769 | # -*- coding: utf-8 -*-
import re
import scrapy
from ..items import NoticeItem
class NoticeSpider(scrapy.Spider):
name = 'notice'
# 声明请求链接和对应的解析函数
def start_requests(self):
yield scrapy.Request(url='http://www.jwc.sjtu.edu.cn/xwtg/tztg.htm', callback=self.parseNewJwc)
yield scrapy.Reque... | greenhandatsjtu/SJTU-bulletin | crawler/crawler/spiders/notice_spider.py | notice_spider.py | py | 4,717 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
... |
74735239080 | import tkinter as tk
from tkinter import ttk
from utils.deserializeData import *
from utils.downloadTxtData import *
from utils.safeDataToJson import saveAs
from utils.readPlayerFile import *
def on_selected_server(event):
selected_server_value = combo_box_servers.get()
label_server.config(text=f"Selected serv... | regenmantel/ds-info | gui/createGUI.py | createGUI.py | py | 2,132 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.safeDataToJson.saveAs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Comb... |
31327371744 |
from django.db.models.signals import pre_save, post_save, post_delete
from django.contrib.auth.models import User
from django.dispatch import receiver
from .models import Profile, FriendRequestNotification
# def upadateUser(sender, instance, **kwargs):
# user = instance
# if user.email != '':
# user.u... | Chris-turina/Golf-App | backend/base/signals.py | signals.py | py | 1,770 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "models.Profile.objects.create",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Profile.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.Profile",
"line_number": 18,
"usage_type": "name"
},
{
"api_name... |
23537529940 | import pygame
class Button():
def __init__(self,screen,settings,message):
self.screen = screen
self.screen_rect = self.screen.get_rect()
self.settings = settings
self.rect = pygame.Rect(0,0,settings.button_width,settings.button_height)
self.rect.center = self.screen_rect.cen... | Accelerator19/Mine | 外星人入侵游戏/button.py | button.py | py | 806 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.Rect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 10,
"usage_type": "attribute"
}
] |
15903092052 | from flask import Flask, request, Blueprint
from library.ap.controller import applicant
from extension import db, ma
from model import Applicant, results
import os
def create_db(app):
if not os.path.exists("appli/appli.db"):
db.create_all(app=app)
print("Tao DB!")
def create_app(config_file="con... | DuongNguyen162/test1 | library/__init__.py | __init__.py | py | 546 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "extension.db.create_all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "extension.db",
... |
6506916595 | from .EL_model import EL
import argparse
from config import el_model_config, neo4j_config
from utils import merge_arg_and_config, convert_config_paths, Neo4jGraph
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--train_file', default='input/data/el/train.txt', help='EL模型训练集路径')
p... | EndlessCG/FengxianQA | models/EL/EL_main.py | EL_main.py | py | 945 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.el_model_config.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.el_model_config",
"line_number": 12,
"usage_type": "name"
},
{
"api_name... |
42010346282 | import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import PolynomialFeatures
from sklearn.ensemble import RandomForestRegressor
from sklearn.svm import SVR
from preprocess import load, preprocess
from config import config_rf, config_svr, config_xgb
from xgboost impor... | paskag/g_research_crypto_forecast | machine_learning/train.py | train.py | py | 2,208 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.ensemble.RandomForestRegressor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "config.config_rf",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 21,
"usage_type": "call"
... |
1360526957 |
import pyglet
from pyglet import shapes
from planets import Planet
from gravity import Gravity
from spaceship import Spaceship
# Create window
window = pyglet.window.Window(1200, 1000)
label = pyglet.text.Label('Gravity',
font_name='Times New Roman',
font_size=36,... | Lucas-Froguel/Gravity-and-NEAT | gravity/main.py | main.py | py | 2,657 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyglet.window.Window",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyglet.window",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pyglet.text.Label",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyglet.text... |
9603763031 | import cv2
import mediapipe as mp
import numpy as np
# import HandTrackingModule as htm
# import fingerCounter as fc
mp_drawing = mp.solutions.drawing_utils
mp_pose = mp.solutions.pose
#Calculating Angles
def calculate_angle(a,b,c):
a = np.array(a)
b = np.array(b)
c = np.array(c)
radians = n... | Anukriti2001/Anukriti | FitTrack.py | FitTrack.py | py | 5,091 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mediapipe.solutions",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.arr... |
30422474644 | # This is a sample Python script.
import copy
import random
import matplotlib.pyplot as plt
import math
import itertools
class City:
def __init__(self, num):
self.x = random.randint(1, 100)
self.y = random.randint(1, 100)
self.number = num
self.visited = 0
def generateCity(ran):... | Daannko/traveling-salesman-problem | main.py | main.py | py | 3,691 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_num... |
16558335626 | # coding: utf8
import pytest
import os
import shutil
@pytest.fixture(params=[
'group_image',
'individual_image'
])
def cli_commands(request):
if request.param == 'group_image':
cnn_input = [
'train',
'image',
'cnn',
'data/dataset/random_example',
... | 2018luyi/AD-DL | clinicadl/tests/test_interpret.py | test_interpret.py | py | 1,751 | python | en | code | null | github-code | 18 | [
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number":... |
9462772061 | import operator
from abc import abstractmethod, ABC
from typing import Optional, Callable
import tensorflow as tf
from tensorflow.keras import activations
from tensorflow.keras.layers import BatchNormalization, Layer
from tensorflow.keras.regularizers import Regularizer
from ..layers import op_dim_selector
class Id... | AndreaFalanti/popnas | src/models/operators/layers/common.py | common.py | py | 11,543 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "tensorflow.keras.layers.Layer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tensorflow.identity",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Layer",
"line_number": 55,
"usage_type": "name"
},
{
"a... |
29123188503 | import os
from timer import timeit
from collections import defaultdict, deque
stardate = 14
dataname = f"dec{stardate}.txt"
# dataname = f"dec{stardate}_test.txt"
curdir = os.path.dirname(os.path.abspath(__file__))
filename = f'{curdir}\\{dataname}'
data = [_.strip() for _ in open(filename, 'r').readlines()]
if not da... | jhogstrom/adventofcode | 2021/dec14.py | dec14.py | py | 2,801 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
... |
33984604923 | """Module for copying files from/to Google Cloud Storage"""
from ..utils import CLIRunner
from .common import Copier, DataUrlType, Resource
class GCSCopier(Copier, CLIRunner):
"""Copier, that is capable of copying to/from Google Cloud Storage"""
def _ensure_can_execute(self) -> None:
if not (
... | neuro-inc/neuro-extras | neuro_extras/data/gcs.py | gcs.py | py | 1,131 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "common.Copier",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.CLIRunner",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "common.DataUrlType.LOCAL_FS",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "common.D... |
72686201319 | from django.urls import path
from student import views
urlpatterns = [
path('login', views.Login.as_view()),
path('register', views.Register.as_view()),
path('planned', views.PlannedCourses.as_view()),
path('planned/<uuid:course_id>', views.PlannedCourseDetail.as_view()),
path('completed', views.Co... | BYUCS452S2020/GradPlan | api/student/urls.py | urls.py | py | 428 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "student.views.Login.as_view",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "student.views.Login",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "st... |
40738422893 | """ This class contains an instance of the sql alchemy
database connection pool and methods for saving and deleting
data in the database
"""
import logging
from app import db
logger = logging.getLogger(__name__)
def save_record(record):
""" This function saves data to the db if transaction is successful.... | brayoh/bucket-list-api | app/common/db/__init__.py | __init__.py | py | 679 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.db.session.add",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.db.session",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "app.db",
... |
20994376959 | import sys
import traceback
# import pyccl as ccl
import pickle
import camb
import jax.numpy as jnp
# sys.path.insert(0,'../skylens/')
from distributed import LocalCluster
from dask.distributed import Client # we already had this above
# http://distributed.readthedocs.io/en/latest/_modules/distributed/worker.html
... | sukhdeep2/skylens_lite | tests/Minimal_test_all.py | Minimal_test_all.py | py | 6,722 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "importlib.reload",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy.arange",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "jax.numpy.int32",
... |
35151212200 | #Script para definição e estilização do gráfico de linhas "normal"
#Important modules
import matplotlib.pyplot as plt
#Values for y and x axis
input_value = [1, 2, 3, 4, 5]
squares = [1, 4, 9, 16, 25]
plt.style.use("seaborn")
fig, ax = plt.subplots()
ax.plot(input_value,squares, linewidth=3)
#Set th... | Tiago851/Data-Visualization | mpl_squares.py | mpl_squares.py | py | 571 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
39377686495 | from sqlalchemy.orm import Session
import pyotp
from backend.app.models import user_model as models
from backend.app.models import candidate as candidate_models
from backend.app.schemas import schemas
from backend.app.utils.security import pwd_context
async def get_user(db: Session, user_id: int):
return db.quer... | paritoshtripathi935/RefineYourHire | backend/app/utils/crud.py | crud.py | py | 2,681 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "backend.app.models.user_model.User",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "backend.app.models.user_model",
"line_number": 11,
"usage_type": "name"
... |
74554052199 | from clients.Service import Service
from database.session import session
from database.models import Cotizacion, Vendedor, Boleta, Bodega, Producto
import bcrypt, json, os, jwt, datetime
from time import sleep
class Add_product(Service):
def __init__(self):
print("Servicio de Añadir Producto")
supe... | Joacker/Arqui_SW | backend/addproduct.py | addproduct.py | py | 5,461 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "clients.Service.Service",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "database.session.session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "jwt.decode... |
5979275860 | from urllib.request import * #导入所有的request，urllib相当于一个文件夹，用到它里面的方法request
# from lxml import etree #调用包
# import pickle #
# import time
# arr = [] #定义一个空数组，用来添加爬出的数据
# url = "https://movie.douban.com/top250?start=" #豆瓣top250网址
# urls = [ url+str(i) for i in range(0,250,25)] #每次步进值25，总共250个，爬取十次
# def aa(link)... | aloneindefeat/pachong | 豆瓣电影top250/爬取豆瓣.py | 爬取豆瓣.py | py | 4,433 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pickle.load",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "fake_useragent.UserAgent",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"l... |
10686294441 | #!/usr/bin/env python
#TODO: try matplotlib instead of tkinter
# renamed in python3
try:
import tkinter as tk
except:
import Tkinter as tk
from PIL import Image
import sys
import time
from Queue import Queue, Empty
import threading
import rospy
import numpy as np
# messages
from exercise3.msg import local_m... | joeski1/Robotics | exercise3/old/broken/map_viewer_tk.py | map_viewer_tk.py | py | 3,720 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Queue.Queue",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "Tkinter.Tk",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "Tkinter.Canvas",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "Tkinter.PhotoImage",
"line_... |
33857131298 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 27 15:58:13 2013
Esqueleto de agente usando los servicios web de Flask
/comm es la entrada para la recepcion de mensajes del agente
/Stop es la entrada que para el agente
Tiene una funcion AgentBehavior1 que se lanza como un thread concurrente
Asume que el agente de re... | nicoeft/ECSDI | src/Agentes/AgenteVendedorExterno.py | AgenteVendedorExterno.py | py | 7,608 | python | es | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "AgentUtil.Logging.config_logger",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 48,
"usage_type": "call"
},
{
"api_na... |
23871218982 | """
Module contains job to run policy evaluation with replay mappers.
"""
import argparse
import dataclasses
import logging
import random
from typing import Any, Mapping, Optional, Sequence, Tuple
import ray
import daaf
from daaf import expconfig, progargs, utils
from daaf.policyeval import evaluation
@dataclasse... | guidj/rl-daaf | src/daaf/policyeval/evaljob.py | evaljob.py | py | 5,250 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "ray.init",
"li... |
30581036624 | from azure.cognitiveservices.search.imagesearch.models import Images, ImageType, ImageSize
import traceback
import os
import urllib.request as url_req
import json
from util.logs import get_logger
from util.parallel import parallel_download
LOGGER = get_logger("BING_IMG_LOADER")
from data.loader import Loader
subscr... | mmarashan/MosaicPhotica | data/loader_impl/bing_impl/bing_loader.py | bing_loader.py | py | 2,144 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "util.logs.get_logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data.loader.Loader",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "azure.cognitiveservices.search.imagesearch.ImageSearchAPI",
"line_number": 31,
"usage_type": "cal... |
9906328941 | import sys
from random import randint, choice
from PySide6 import QtCore, QtGui, QtWidgets
from PySide6.QtWidgets import QApplication, QMainWindow, QLabel
from PySide6.QtCore import Qt, QPoint, QRect
from PySide6.QtGui import QPainter, QPixmap, QPen, QColor, QBrush
class MainWindow(QMainWindow):
def __init__(self)... | jgorman3691/PySide6-Learning-GUIs | Bitmap Graphics/qrectapp.py | qrectapp.py | py | 2,235 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PySide6.QtWidgets.QMainWindow",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QLabel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PySide6.QtGui.QPixmap",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
14663082841 | from celery import shared_task
# from friender.celery import app
from .models import UserRating
import requests
import base64
from django.core.files.base import ContentFile
@shared_task
def add(x, y):
return x + y
@shared_task
def mul(x, y):
return x * y
@shared_task
def generate_photo(user_id,rating,descri... | DenisListapad94/friender | friender/arrangement/tasks.py | tasks.py | py | 657 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "celery.shared_task",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "celery.shared_task",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",... |
3364423795 | from sys import path
path.append('..')
import logging
import unittest
from unittest.mock import patch
from gerrit import GerritAPI
from mock import Response
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s', level=logging.DEBUG)
class TestGerritAPI(unittest.TestCase):
def setUp(self):
... | UnCommitted/nectar-doco-bot | script/tests/test_gerrit.py | test_gerrit.py | py | 1,037 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_... |
20720354736 | # Databricks notebook source
# MAGIC %md
# MAGIC ##### Welcome to Azurelib Academy By Deepak Goyal
# MAGIC ##### You can master the Databricks here: <a href='https://adeus.azurelib.com' target='_blank'>www.adeus.azurelib.com</a>
# MAGIC ##### Author of this blog: Arud Seka Berne S <a href="https://www.linkedin.com/in/... | azurelib-academy/azure-databricks-pyspark-examples | 91. Cast Pyspark Dataframe Column/Cast Pyspark Dataframe Column - Notebook.py | Cast Pyspark Dataframe Column - Notebook.py | py | 3,471 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.sql.session.SparkSession.builder.master",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.session.SparkSession.builder",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.session.SparkSession",
"line_number... |
40041314697 | import json
import os
import datetime
from flask import Blueprint
from flask import flash
from flask import redirect
from flask import render_template
from flask import url_for
from flask import current_app
from flask import request
from flask_login import current_user
from flask_login import login_required
from flask_... | linkolearn/linkolearn | linkolearn/modules/box__default/auth/view.py | view.py | py | 6,332 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_nu... |
26759216431 | import speech_recognition as sr
from playsound import playsound
def listen():
rec = sr.Recognizer()
mic = sr.Microphone()
playsound('./Resources/beep-08b.mp3')
vocal = recognize_speech_from_mic(rec, mic)
if vocal["error"]:
print("ERROR: {}".format(vocal["error"]))
return
comma... | TKing321/Assistant | Command.py | Command.py | py | 1,535 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",
"line_number": 8,
"usage_type": "call"
},
{
"api_... |
23236037351 | from django.shortcuts import render, redirect
from accounts.forms import UserRegistrationForm
# Create your views here.
def view_user_register(request):
if request.user.is_authenticated:
return redirect('view_all_blogs')
form= UserRegistrationForm()
if request.method== "POST":
form= User... | amewzzz/webpro_2 | accounts/views.py | views.py | py | 520 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "accounts.forms.UserRegistrationForm",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "accounts.forms.UserRegistrationForm",
"line_number": 13,
"usage_type": "cal... |
24229198973 | import ROSE as R
import jsonHandler
import utils
import matplotlib.pyplot as plt
import matplotlib.image as img
import open3d as o3d
import numpy as np
import yaml
from PIL import Image
import math
class ROSE:
def __init__(self, settings, params, vis):
self.__roseMap = "input/input_map.png"
self._... | larssonjohan/MastersThesis | ROSE3D/pgmROSE.py | pgmROSE.py | py | 5,781 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "jsonHandler.JSON",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.nestedDict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.bool8",
"line_... |
26278548575 | # https://py.checkio.org/mission/three-points-circle
from math import acos, degrees, sqrt
from itertools import combinations
def calculate_length(p, q):
return sqrt((q[0] - p[0]) ** 2 + (q[1] - p[1]) ** 2)
def calcuate_angles(a, b, c):
# Law of cosines: https://en.wikipedia.org/wiki/Law_of_cosines
cos_a... | seanmcerlean/personal-projects | checkio_solutions/electronic_station/three_points_circle.py | three_points_circle.py | py | 4,215 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "math.sqrt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "math.degrees",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.acos",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.degrees",
"line_number": 15,... |
36759444933 | from typing import Union
import dearpygui.dearpygui as dpg
from src.shared.pages.base import BasePage
class App:
histories: list[Union[int, str]]
def __init__(self):
self.histories = []
def goto(self, page: BasePage):
if len(self.histories) > 0:
dpg.configure_item(self.hist... | DuckyMomo20012/email-remote-access | src/serverApp/app.py | app.py | py | 1,334 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Union",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "src.shared.pages.base.BasePage",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dearpygui.dearpygui.configure_item",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
4441798286 | from discord.ext import commands
import asyncio
import traceback
import discord
import textwrap
from contextlib import redirect_stdout
import io
import subprocess
# to expose to the eval command
import datetime
from collections import Counter
class EvalCMD(commands.Cog):
def __init__(self, bot):
self.bot... | Smudge-Studios/HypixelBot | commands/owner/eval.py | eval.py | py | 3,015 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "asyncio.create_subprocess_shell",
"line_number": 23,
"usage_type": "call"
},
{
... |
34212531239 | import io
import sys
_INPUT = """\
4
90 180 45 195
"""
sys.stdin = io.StringIO(_INPUT)
n = int(input())
a = list(map(int, input().split()))
li = []
li.append(360)
cnt = 0
for i in range(n):
cnt += a[i]
tmp = cnt // 360
if tmp:
ans = cnt - tmp*360
li.append(ans)
else:
li.appen... | kkchart9/atcoder | Day_dir/1208.py | 1208.py | py | 425 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 8,
"usage_type": "call"
}
] |
74957803881 | #6987 월드컵
import sys
from itertools import combinations
cases = list(combinations(range(6), 2))
available = []
result = ""
def bt(idx):
global r
if idx == len(cases):
for t in table:
if t.count(0) != 3:
r = 0
return
r = 1
return
a, b = ... | SunEom/CodingTest | Python/CodingTest/Level/Gold IV/6987.py | 6987.py | py | 844 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.combinations",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 30,
"usage_type": "attribute"
}
] |
14582175619 | import tkinter as tk
from tkinter import ttk
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg as fgc
class lineaApp():
def __init__(self):
#Set root up
self.root = tk.Tk()
self.root.geometry('770x570+600+20')
self.root.title('LINEA RECT... | roque76/Parc_POO | Linea.py | Linea.py | py | 7,382 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Label",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_num... |
31797123925 | from visualising.global_variables import Button, events_handler, render_text
import pygame as pg
if not pg.get_init():
pg.init()
def draw_connections(surface, state, lines):
if state != 'test_page':
return surface
for line in lines:
pg.draw.line(surface, (240, 185, 153), line[0], line[1])... | automik/Net_Building | visualising/test_page.py | test_page.py | py | 762 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.get_init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.draw.line",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_nu... |
32143278403 | import re
import time
import os
import json
# TODO: improve performance by detecting appropriate markers in file
# TODO: include <<NOWA TRASA>> (new route) in stop exceptions parsing
# KURS SKRÓCONY - taki który kończy trasę na wcześniejszym przystanku
# TRASA SKRÓCONA - to to samo?
AUX_PARSNG = True
# Routes
ROUTE_... | 1116574/ztm-warsaw-timetable-parser | parser_old.py | parser_old.py | py | 11,193 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "re.search",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 157,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 166,
... |
27188992348 | from rockIT.forms import NewAlbum, NewPodcast
from rockIT.models import Profile
from django.shortcuts import redirect, render
from django.contrib.auth.models import User
from django.contrib import messages
from .models import *
import uuid
from django.conf import settings
from django.core.mail import send_mail
from dja... | print-Sathvik/Rock-N-Roll-public | rockIT/views.py | views.py | py | 13,563 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 28,
"usage_type": "call"
... |
26953281179 | """This module contains utilities to handle atlases in Clinica.
An atlas is currently defined by its name and a set of labels in a template space.
This current implementation has some drawbacks:
- Atlas is misleading: it is only a set of labels in a template space
- This implementation can not handle case where parce... | aramis-lab/clinica | clinica/utils/atlas.py | atlas.py | py | 12,628 | python | en | code | 196 | github-code | 18 | [
{
"api_name": "abc.ABCMeta",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "nibabel.load",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "abc.abstractmet... |
40067434598 |
from rest_framework import serializers
from API.models import Planet
from API.serializers import ResidentSerializer
class PlanetSerializer(serializers.ModelSerializer):
residentes = ResidentSerializer(source='residents', many=True, read_only=True)
class Meta:
model = Planet
fields = '__a... | JemPak/Prueba-Gearplug | star_wars/API/serializers/PlanetSerializer.py | PlanetSerializer.py | py | 406 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "API.serializers.ResidentSerializer",
"line_number": 8,
"usage_ty... |
28301727159 | from django.conf.urls import patterns, url
from .views import (profile_detail, profile_followings, profile_followers,
profile_follow, user_arguments, user_contributed_arguments)
urlpatterns = patterns(
'',
url(r'^(?P<username>[A-Za-z0-9-_]+)/$',
profile_detail,
name='api-pr... | tunavargi/arguman.org | web/api/v1/users/urls.py | urls.py | py | 962 | python | en | code | null | github-code | 18 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.profile_detail",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "... |
75058439719 | from __future__ import unicode_literals
import csv, datetime
from FinanceDBAPI import FinanceDB
def import_holiday_type(filename, db):
with open(filename) as f:
types = list(csv.reader(f))
for k, v in enumerate(types):
if k == 0:
continue
item = db.Holiday_type(type_id = v[... | deerlux/finance_crawl | import_holidays.py | import_holidays.py | py | 988 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
21683006274 | """second Migration
Revision ID: 2ed0b0185558
Revises: 31755de8d846
Create Date: 2019-02-28 09:16:31.699123
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '2ed0b0185558'
down_revision = '31755de8d846'
branch_labels = None
depends_on = None
def upgrade():
... | mukasine/pitch | migrations/versions/2ed0b0185558_second_migration.py | 2ed0b0185558_second_migration.py | py | 1,725 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
31090086846 | import numpy as np
import math
import matplotlib.pyplot as plt
from Lattice_Class import Lattice_Class
from matplotlib import colors
cross_sections = np.array([5,10,15,20,25,30,40,50,75,100,130,170,200,300])
gradients = []
error_on_grad = []
plt.rcParams['figure.figsize'] = (16, 10)
plt.rcParams['font.size']... | phicks21/bacteriophage-spread | plotter3.py | plotter3.py | py | 1,218 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotl... |
12319022129 | """Extract dates and URLs from Markdown files."""
from pathlib import Path
from typing import Optional
import dateutil.parser
import markdown
from bs4 import BeautifulSoup
# List of URLs considered stable and thus ignored
STABLE_URLS: tuple[str, ...] = (
# archive.org snapshots
"web.archive.org/web/",
# ... | sbaack/archive-md-urls | src/archive_md_urls/scan_md.py | scan_md.py | py | 4,756 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "markdown.core",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "markdown.Markdown",
... |
26556229198 | from datetime import datetime, timedelta
from queue import Queue
from threading import Thread
from time import sleep
from typing import Callable
from PyQt5.QtWidgets import QLabel
from persiantools.jdatetime import JalaliDateTime
from tinydb import TinyDB
import app.Logging.app_provider.admin.MersadLogging ... | siavashvampire/python | app/LineMonitoring/app_provider/admin/main.py | main.py | py | 8,896 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "queue.Queue",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "app.LineMonitoring.cronjob.cronjob.Cronjob",
"line_number": 30,
"usage_type": "name"
},
{
"api... |
32459331808 | import flask
from flask import jsonify
import sqlite3
DATABASE = './database.db'
def get_db():
db = getattr(flask, '_database', None)
if db is None:
db = flask._database = sqlite3.connect(DATABASE)
return db
def query_db(query, args=(), one=False):
cur = get_db().execute(query, args)
rv =... | jorgemacias2/python_projects | api/api.py | api.py | py | 1,161 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask._database",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
... |
70790412200 | import os
import re
from time import sleep
from copy import deepcopy
import numpy as onp
import pandas as pd
import jax.numpy as np
from jax.config import config
from jax import ops
from scipy.optimize import minimize
from tqdm import tqdm
from gzbuilder_analysis.fitting.reparametrization import from_reparametrization
... | tingard/gzbuilder_results | fit_models.py | fit_models.py | py | 6,017 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "jax.config.config.update",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "jax.config.config",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pandas.read_pickle",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.a... |
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