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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35020713686 | import openslide
import os
import numpy as np
import random
import json
import joblib
import seaborn as sns
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pandas as pd
import anndata as ad
from sklearn.metrics import confusion_matrix as cfm
import argparse
from pathlib import Path
impor... | boqchen/MVS | codebase/downstream_tasks/cell_typing/apply_rf.py | apply_rf.py | py | 6,695 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"... |
18430835582 | import pandas as pd
from timeit import default_timer as timer
from os.path import dirname
import datetime
import os
"""
The caller should measure duration and pass here along with parameters.
This program will create CSV if it does not exist.
If this CSV exists, we will update it.
Thus we will add a new line in the ... | borisgarbuzov/project2 | project2/src/calculate_time.py | calculate_time.py | py | 1,815 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.... |
70260880871 | import struct
import os
from pathlib import Path
from PIL import Image
import cv2 as cv
import numpy as np
from tqdm import tqdm
def write_txt(save_path: str, content: list, mode='w'):
"""
將list內容寫入txt中
@param
content: list格式內容
save_path: 絕對路徑str
@return:None
"""
with open(save_path, m... | cjwang0318/HandWriting | CASIA_to_paddle_format.py | CASIA_to_paddle_format.py | py | 5,811 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_nu... |
27578930911 | # testy_wdlocal.py 14 Feb 2021
# for Dataset id in list, perform wdlocal recon, write results to file
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
import codecs, pytz
import simplejson as json
from datetime import datetime
from datasets.models import Dataset, Hit
from dat... | WorldHistoricalGazetteer/whgazetteer | tests/testy_wdlocal.py | testy_wdlocal.py | py | 4,632 | python | en | code | 18 | github-code | 71 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 17,
"usage_typ... |
41431199067 | import os
import torch
import csv
import glob
import logging
import argparse
import numpy as np
import dask.dataframe as dd
from typing import List, Any, Optional, Tuple
from tqdm.auto import tqdm, trange
from collections import Counter
from functools import partial
from transformers import (
PreTrainedTokenizer, P... | kkkravets/Seq2Lightning | src/model_utils.py | model_utils.py | py | 8,421 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
12132108938 | # -*- coding=utf-8 -*-
from PIL import Image
import argparse
# Add command arguments
parser = argparse.ArgumentParser()
parser.add_argument('file')
parser.add_argument('-o', '--output')
parser.add_argument('--width', type=int, default=80)
parser.add_argument('--height', type=int, default=80)
# Get arguments
args = p... | qy-yang/Lets-play | img2ascii/img2ascii.py | img2ascii.py | py | 1,163 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "PIL.Image.NEAREST",
... |
3768963502 | import requests
from bs4 import BeautifulSoup
def get_product_price(url):
# Send a GET request to the product URL
response = requests.get(url)
# Parse the HTML content using BeautifulSoup
soup = BeautifulSoup(response.content, 'html.parser')
# Find the element containing the price
# A... | Chamepp/Daily.py | General/72-ecommerce-price-tracking-and-comparison.py | 72-ecommerce-price-tracking-and-comparison.py | py | 834 | python | en | code | 89 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
}
] |
615608396 | from flask import Flask, jsonify, request
from flask_cors import CORS
import main
app = Flask(__name__)
CORS(app)
@app.route('/summoner', methods=['GET'])
def get_summoner():
summoner_name = request.args.get('summoner_name')
region = request.args.get('region')
api_key = request.args.get('api_key')
sum... | yngOtto/JungleKing | app.py | app.py | py | 474 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args",... |
20512516103 | import pandas as pd
import os.path
import re
import numpy as np
import scipy.stats
def file_exists(fn):
return os.path.isfile(fn)
def read_table(fn, indiv_col):
_, fn_ext = os.path.splitext(fn)
compress_args = {}
if fn_ext == '.gz':
fn_new = re.sub('.gz$', '', fn)
compress_args = {'co... | liangyy/brainxcan | brainxcan/sbxcan/util/misc.py | misc.py | py | 1,122 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.path.isfile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.path.splitext",
... |
36551794623 | from itsdangerous import BadSignature, SignatureExpired
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
from utils.Response import Response, Success, Error
import time
# 采用JWT技术，产生token并返回给前端
SECRET_KEY = 'Backend for online chat web system'
class Token:
# 生成token，有效期60min
@staticmetho... | umbrella-leaf/online-chat | online-chat-backend/utils/Token.py | Token.py | py | 1,200 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "itsdangerous.TimedJSONWebSignatureSerializer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.Response.Success",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
37702151414 | # Generator Code
import torch.nn as nn
import torch.nn.functional as F
class Generator(nn.Module):
def __init__(self):
super(Generator, self).__init__()
self.conv_t_1 = nn.ConvTranspose1d(128, 256, kernel_size=4, stride=4, bias=False)
self.b_n_1 = nn.BatchNorm1d(256)
self.conv_t_2 ... | Torng/Music_Generator | Module/generator.py | generator.py | py | 1,266 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.ConvTranspose1d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"l... |
25885530266 | from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
from nltk.tokenize import word_tokenize
import os
import numpy as np
import gensim
from sklearn.decomposition import PCA
from sklearn.random_projection import GaussianRandomProjection
import logging
from stanfordcorenlp import StanfordCoreN... | pdhung3012/SoftwareStoryPointsPrediction | devItems/spring-2020/SEEAccuracyImprove/trainAll_D2v/step1_vectorizeByD2v.py | step1_vectorizeByD2v.py | py | 3,654 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.mkdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "gensim.models.doc2vec.Doc2Vec.load",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "gensim.models.doc2vec.Doc2Vec",
"line_number": 82,
"usage_type": "name"
},
{
"api_nam... |
8286388093 | from tkinter import *
import random
from datetime import datetime
from time import sleep
from threading import Thread
import re
from tkinter import ttk
import pyfirmata
# На плате Arduino Uno задействованы следующие цифровы пины:
# 5 - реле;
# 7 - реле
'Подключи Arduino к порту номер 3'
board = pyfirmata.Arduino('COM... | denisamirov/solar_clean_system_scripts | python_code/solar_panels_clean_system_python.pyw | solar_panels_clean_system_python.pyw | pyw | 14,953 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pyfirmata.Arduino",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number... |
70841560551 | #!/opt/anaconda3/bin/python
# -*- coding: UTF-8 -*-
"""
@Author: njuselhx
@Time: 2021/1/18 下午8:34
@File: compute.py
@Software: PyCharm
"""
import math
import jieba
import pymongo
def tokenize(data):
words = jieba.cut(data)
word_list = []
for word in words:
word_list.append(word)
return word_l... | FertileFragrance/data_not_scientific | tf-idf/compute.py | compute.py | py | 4,058 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "jieba.cut",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_number": 71,
"usage_type": "call"
}
] |
18970086427 | import os
import numpy as np
from scipy.spatial.transform import Rotation as R
import matplotlib.pyplot as plt
from pytransform3d.plot_utils import plot_vector
def fix_transformation(transformation):
fixed_transformation = np.zeros((4,4))
fixed_transformation[3,3] = 1
q = R.from_matrix(transformation[:3, :... | daniellehot/handover_orientation_analysis | visual_analysis.py | visual_analysis.py | py | 3,805 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.transform.Rotation.from_matrix",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.transform.Rotation",
"line_number": 10,
"usage_type": "name"
},
... |
13549717413 | import datetime
from django.db import models
from django.utils import timezone
class Session(models.Model):
day = models.DateField(default=timezone.now)
duration = models.TimeField(default=datetime.time)
error = models.BooleanField(default=False)
def calculate_duration(self):
start_time = No... | shifty11/timetracker | tracker/models.py | models.py | py | 2,275 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
70265315750 | #####
#Collection of SAM,BAM,FASTA,FASTQ and MicroRazers parsers
#####
#import pysam
import re
import sys
#sys.path.append('/storage/brno2/home/ivogel/.local/lib/python2.7/site-packages')
#sys.path.append('/storage/brno2/home/ivogel/.local/lib/python2.7/site-packages')
import pysam
def parseGenomicID(name):
if na... | puko818/BUT_projects | TE_HOMOLOGIES/Parsers.py | Parsers.py | py | 6,738 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "re.match",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pysam.AlignmentFile",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pysam.AlignmentFile",
"line_number": 56,
"usage_type": "call"
}
] |
39437785238 | import matplotlib.pyplot as plt
import numpy as np
import random
N = int(input())
print(N)
test = 1000
count=[0 for i in range(N+1)] # Stores the count of the total occurrences
for t in range(test):
X1 = 0
X2 = 0
X = [0 for i in range(0,N+1)] # probability of X being there
for i ... | Vikr-182/Random-walkers-implementation | script.py | script.py | py | 831 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
71142779430 | #https://www.hackerrank.com/challenges/largest-permutation
#points 30
from collections import defaultdict
n, k = map(int, input().split())
array = list(map(int, input().split()))
ar_enum = defaultdict(int)
for i in range(n):
ar_enum[array[i]] = i
j = 0
l = 0
if n > 1:
for i in range(n, 0, -1):
if ... | Azim-Islam/Problem-Solving-DSA | HackerRank/hr_largest_permutation.py | hr_largest_permutation.py | py | 706 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
39840895095 | """
Managing camera input and barcode detection
"""
from __future__ import annotations
from PyQt5.QtWidgets import QFrame, QLabel, QSizePolicy
from PyQt5.QtCore import Qt, QThread, pyqtSlot, pyqtSignal
from PyQt5.QtGui import QImage, QPixmap
from config.macros import FRAME_RATE, FRAMES_BEETWEEN_SCANS
from pyzbar import... | michalwilk123/STManager | src/main/python/gui/cameraDisplay.py | cameraDisplay.py | py | 6,945 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QImage",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "c... |
18958817928 | import base64
import time
from io import BytesIO as _BytesIO
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import digits_server
from predict_all import *
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.... | galipremsagar/Cross-Domain-Transfer-Net | app.py | app.py | py | 17,845 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "dash.Dash",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": ... |
14582677414 | from django.shortcuts import render
from .models import *
from django.http import JsonResponse,HttpResponse
import json
import time, datetime
def get(request):
queryset=Book.objects.all()
book_list=[]
for book in queryset:
timeArray = time.localtime(book.times)
otherStyleTime = t... | 2569792062/work_book | shuji/views.py | views.py | py | 1,306 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "time.localtime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.http.Htt... |
43048596445 | import warnings
import math
import torch
from time import time
import numpy as np
import pynvml
from .init_methods import init_methods
class KMeans:
'''
Kmeans clustering algorithm implemented with PyTorch
Parameters:
n_clusters: int,
Number of clusters
max_iter: int, default: 100
... | divelab/LECI | GOOD/utils/fast_pytorch_kmeans/kmeans.py | kmeans.py | py | 10,902 | python | en | code | 8 | github-code | 71 | [
{
"api_name": "warnings.warn",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "torch.cuda.device",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 102,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.synchron... |
12168819458 | #!/usr/bin/env python3
import os
import sys
import struct
import parser
from collections import namedtuple
import ctypes
import argparse
############# global variables
pd_complete = ''
inputfile = ''
outputfile = ''
list_of_pde = {}
num_of_regions = 0
read_buff=''
struct_mmu_regions_tuple = {"start_addr","size","per... | fractalclone/zephyr-riscv | scripts/gen_mmu.py | gen_mmu.py | py | 18,562 | python | en | code | 24 | github-code | 71 | [
{
"api_name": "collections.namedtuple",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "struct.unpack_from",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "stru... |
41887893638 | from itertools import count
from . import views
from django.shortcuts import redirect, render
from dojo_ninjas_app.models import dojos ,ninjas
def index(request):
dojos_table = dojos.objects.all()
ninjas_table = ninjas.objects.all()
context= { "ninjas" : ninjas_table,
"dojos" : dojos_table
... | ReemAllharbi/PYTHON | dojo_ninjas_proj/dojo_ninjas_app/views.py | views.py | py | 1,107 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "dojo_ninjas_app.models.dojos.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dojo_ninjas_app.models.dojos.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "dojo_ninjas_app.models.dojos",
"line_number": 7,
"usage_... |
27936776230 | from django.shortcuts import render,redirect
from django.contrib import messages
# DELETED -->from django.contrib.auth.forms import UserCreationForm
from .forms import UserRegisterForm, UserUpdateForm, ProfileUpdateForm
from django.contrib.auth.decorators import login_required
# importing Model forms i.e UserUpdateForm... | rajdeepp26/Tech-blog-app | users/views.py | views.py | py | 1,978 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "forms.UserRegisterForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages",
"line_number": 16,
"usage_type": "name"
},
{
"ap... |
3105690289 | # -*- coding: utf8 -*-
"""
======================================
Project Name: RE-For-NER
File Name: model
Author: czh
Create Date: 2021/3/23
--------------------------------------
Change Activity:
======================================
"""
# 将ner问题建模为关系抽取问题，已知subject_entity和relation，预测object enti... | zhihao-chen/re_for_ner | ReNER/models/model.py | model.py | py | 5,222 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
7525161322 | from __future__ import division
from __future__ import print_function
import threading
import time
import os
from six.moves import queue as Queue # pylint: disable=redefined-builtin
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow.compat.v1 as tf
from tensorflow.core.protobuf impor... | bytedance/monolith | monolith/core/auto_checkpoint_feed_hook.py | auto_checkpoint_feed_hook.py | py | 13,866 | python | en | code | 702 | github-code | 71 | [
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.compat.v1.logging.info",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tenso... |
11346497312 | from collections import deque
class Solution:
def racecar(self, target: int) -> int:
if target == 0:
return 0
# step, location, speed
q = deque([(0, 0, 1)])
# (loc, speed)
explored = set()
while q:
# print(q)
num_instructions,... | chutianwen/jobhunt2023 | leetcode/bfs/race_car.py | race_car.py | py | 1,158 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
11566539309 | from django.shortcuts import render, redirect, get_object_or_404
from .forms import DataForm, OptionForm
from .models import Data, Option
from django.contrib import messages
from django.core.paginator import Paginator
from django.contrib.auth.decorators import login_required
@login_required
def add_data(request):
for... | programmerzia/bloodbank | master_data/views.py | views.py | py | 2,652 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "forms.DataForm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "forms.DataForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.... |
42054315862 | import matplotlib.pyplot as plt
import numpy as np
xIndex = np.arange(6)
w = 0.4
x = [chr(x) for x in range(65, 71)]
y = [4, 9, 1, 7, 3, 5]
y2 = [9, 5, 6, 7, 1, 7]
''' HORIZONTAL
plt.barh(xIndex - w/2, y, label="bar 1", height=w, color='b')
plt.barh(xIndex + w/2, y2, label="bar 2", height=w, color='c')
plt.yticks(x... | gayatri-p/python-stuff | matplotlib/bar_chart.py | bar_chart.py | py | 552 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.arange",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot... |
4561862606 | from flask import Flask, render_template, request, jsonify
app = Flask(__name__)
from pymongo import MongoClient
client = MongoClient('mongodb+srv://test:sparta@cluster0.msldn.mongodb.net/Cluster0?retryWrites=true&w=majority')
db = client.dbsparta
# import requests
# from bs4 import BeautifulSoup
#
# headers = {'U... | eisont/Publishing | hanghae99/hanghae99_Sparta/projects/idea_site/app.py | app.py | py | 2,215 | python | ko | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.request.for... |
14682102692 | import csv
import re
import warnings
import numpy as np
from .config import DIR
warnings.filterwarnings("ignore")
def get_word_vector(s1, s2):
"""
:param s1: 句子1
:param s2: 句子2
:return: 返回中英文句子切分后的向量
"""
# 把句子按字分开，中文按字分，英文按单词，数字按空格
regEx = re.compile("[\\W]*")
res = re.compile(r"([\u4... | YouZijun97/pwc | src/cos_simi.py | cos_simi.py | py | 3,663 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_... |
75121109990 | import math
from typing import Dict, List
from .paths import *
def load_frecent_characters() -> List[str]:
return list(__load_frecent_characters().keys())
def __load_frecent_characters() -> Dict[str, float]:
frecencies = {}
try:
with frecency_file_location.open("r") as file:
for lin... | fdw/rofimoji | src/picker/frecent.py | frecent.py | py | 1,108 | python | en | code | 738 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "math.floor",
"line_number": 35,
"usage_type": "call"
}
] |
3263695422 | # Squeeze-and-Excitation Networks
# https://arxiv.org/pdf/1709.01507.pdf
"""
一种通道注意力机制。由于特征压缩和FC的存在，其捕获的通道注意力特征是具有全局信息的。
"""
import torch
import torch.nn as nn
class SE_Block(nn.Module):
def __init__(self, in_channel, reduction=16):
super(SE_Block, self).__init__()
self.avg_pool = nn.AdaptiveAvg... | RacleRay/RaychSnippts | raych/layers/cnn/se.py | se.py | py | 952 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.AdaptiveAvgPool2d",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
35871477476 | __authors__ = 'Marija Aleksejeva, Daniil Kolomeitsev, Jevgenij Mozajev,' \
' Nina Mustafina, Svetlana Pavlova'
import os
import justext
import re
# This function cleans up the pages using justext. A new directory
# with clean pages is created. The link is saved in the first line
# of each file.
def cl... | sweeterr/dumb_search_engine | project_cleaning.py | project_cleaning.py | py | 1,683 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number... |
28866873412 | import original_filenames
import json
import collections
import os.path
def create_work_files(og_file):
"""
:param og_file: an original forum json-file with no modifications
:return: send a dict for each file to function "separate_each_month"
"""
data = collections.defaultdict(list)
with open(... | SickanEkman/Forum-trends | prepare_original_files.py | prepare_original_files.py | py | 2,009 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.mkdir",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
36802233524 | import paho.mqtt.client as mqtt
import json
from time import sleep
from test.lib import run_shell
key_list = ['button_ok', 'button_right', 'button_left', 'button_down', 'button_UP']
mqttc = {}
gpio = 0
def buzzer():
run_shell('echo {} > /sys/class/gpio/export'.format(str(gpio)))
run_shell('echo "out" > /sys/c... | liuchengyiu/power_control_test | power_control_test/test/hardware/key/key.py | key.py | py | 1,831 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "test.lib.run_shell",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "test.lib.run_shell",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "test.lib.run_shell",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",... |
74840051749 | """Label a pull request based on its type."""
import enum
import pathlib
from . import util
TYPE_LABEL_PREFIX = "type"
@enum.unique
class Labels(enum.Enum):
"""Labels that can be applied to a Pull Request."""
type_bug = f"{TYPE_LABEL_PREFIX}-bug"
docs = "docs"
type_feature = f"{TYPE_LABEL_PREFIX}-f... | python/bedevere | bedevere/prtype.py | prtype.py | py | 1,733 | python | en | code | 112 | github-code | 71 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "enum.unique",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pathlib.PurePath",
"line_number": 45,
"usage_type": "call"
}
] |
1845172428 |
import tensorflow as tf
import tensorflow_addons as tfa
from nets.models.base import BaseTFKerasModel
@tf.keras.utils.register_keras_serializable("nets")
class GatedMixture(BaseTFKerasModel):
"""
Gated mixture of experts.
Takes raw inputs, passes them through each expert and gate
layer pair, elemen... | abw-24/nets | src/nets/models/mixture.py | mixture.py | py | 2,229 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "nets.models.base.BaseTFKerasModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.layers.Dense",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 33,
"usage_type": "attribute"
},
{
... |
30741375610 | import pygame, sys, os, random
class Carro_inimigo(pygame.sprite.Sprite):
def __init__(self, screen):
pygame.sprite.Sprite.__init__(self)
self.screen = screen
self.posicoes = [[480, 350], [505, 350]]
self.posicao = random.choice(self.posicoes)
self.objetos = ['adv_car.png', ... | RonnanSouza/need_py_speed_game | Game/objetos_pista.py | objetos_pista.py | py | 2,418 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "pygame.sprite",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rand... |
36137268312 | from transformers import (
RobertaForMaskedLM,
RobertaForTokenClassification,
AutoTokenizer
)
from collections import Counter
def load_roberta(model_path, mode="prompt"):
tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=True, add_prefix_space=True, do_lower_case=False)
if mode == "pr... | LogIntelligence/LogPPT | logppt/models/roberta.py | roberta.py | py | 2,064 | python | en | code | 40 | github-code | 71 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "transformers.RobertaForMaskedLM.from_pretrained",
"line_number": 12,
... |
36090435314 | import logging
import telegram
from telegram import Update
from telegram.error import TelegramError
from telegram.ext import CallbackContext, CommandHandler, Updater
from eliud.conf import settings
from eliud.markups.base import BaseMarkup
logger = logging.getLogger("eliud.telegram")
class Bot:
"""
Constru... | ragnarok22/eliud | eliud/telegram/__init__.py | __init__.py | py | 2,345 | python | en | code | 10 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "eliud.conf.settings.TELEGRAM_TOKEN",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "eliud.conf.settings",
"line_number": 20,
"usage_type": "name"
},
{
"api... |
71938513511 | # for task2 chaos
import os
import SimpleITK as sitk
res=[]
for filename in os.listdir(r'CT'):
# print(filename+'/DICOM_anon')
res.append(filename+'/DICOM_anon')
# print(res)
for i in res:
file_path = os.path.join('CT',i) #dicom存放文件夹
print(i.split('/')[0])
print(file_path)
series_IDs = sitk.Im... | zz10001/LITS2017-main1 | data_prepare/dcm2nii.py | dcm2nii.py | py | 646 | python | en | code | 49 | github-code | 71 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "SimpleITK.ImageSeriesReader.GetGD... |
36526538023 | """first.
Revision ID: de23d4edb0e2
Revises:
Create Date: 2021-12-20 11:41:48.292514
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "de23d4edb0e2"
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by A... | probicheaux/brackend | alembic/versions/de23d4edb0e2_first.py | de23d4edb0e2_first.py | py | 1,762 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "alembic.op.create_table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
26661054580 | from django.shortcuts import render,get_object_or_404
from post.models import post
from subscribe.models import sub
from django.core.paginator import Paginator,EmptyPage,PageNotAnInteger
from django.db.models import Count,Q
def search(request):
queryset=post.objects.all()
searched=request.GET.get('q')
if searched:
... | sarkersourav55/Sourav-s_blog | index/views.py | views.py | py | 1,547 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "post.models.post.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "post.models.post.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "post.models.post",
"line_number": 8,
"usage_type": "name"
},
{
"api_name... |
70146115430 | from fastapi import FastAPI, Request, HTTPException, status
from fastapi.responses import HTMLResponse, FileResponse, JSONResponse
import uvicorn
from sklearn.datasets import load_iris
from sklearn.naive_bayes import GaussianNB
from pydantic import BaseModel
from fastapi.staticfiles import StaticFiles
from fastapi.midd... | jeanth20/Movie_recommendation_ML | app.py | app.py | py | 5,464 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fastapi.staticfiles.StaticFiles",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fastapi.templating.Jinja2Templates",
"line_number": 17,
"usage_type": "call"
},
{
... |
33828949718 | """
This file holds the trainer for the segmentation network.
"""
import argparse
import numpy as np
import os
import platform
# pytorch includes
import torch
import torch.nn as nn
import torchvision as tv
from torch.autograd import Variable
from torch.utils.data import DataLoader
# ml_utils includes
from general.ut... | OpenGeoscience/deepres | cropnet/cropnet/segmenter.py | segmenter.py | py | 3,131 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
74839515109 | from _pytest.logging import LogCaptureFixture
import pytest
from pytest_mock import MockerFixture
from mock import AsyncMock
from pythclient.solana import SolanaAccount, SolanaPublicKey, SolanaClient
@pytest.fixture
def solana_pubkey() -> SolanaPublicKey:
return SolanaPublicKey("AHtgzX45WTKfkPG53L6WYhGEXwQkN1B... | pyth-network/pyth-client-py | tests/test_solana_account.py | test_solana_account.py | py | 3,047 | python | en | code | 34 | github-code | 71 | [
{
"api_name": "pythclient.solana.SolanaPublicKey",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pythclient.solana.SolanaPublicKey",
"line_number": 12,
"usage_type": "name"
},
... |
1502950721 | import math
import time
import collections
from sqlalchemy import func, or_, and_, desc
from sqlalchemy.orm import joinedload
from clld.db.meta import DBSession
from clld.db.models import common
from matplotlib.cm import viridis
from matplotlib.colors import to_hex
from gramfinder import models
from gramfinder.maps i... | clld/gramfinder | gramfinder/views.py | views.py | py | 3,313 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "matplotlib.colors.to_hex",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm.viridis",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "clld.db.meta.DBSession.query",
"line_number": 22,
"usage_type": "call"
},
{
"api_n... |
5714632608 | #!/usr/bin/env python3
# Convert a DICOM file into plain text in a suitable format
# for passing into the anonymisation/annotations parts of SemEHR.
# Can alternatively read from the MongoDB dicom database instead of files.
# Usage: -y default.yaml -i input -o output
# -y = path to the default.yaml file to get FileSy... | SMI/SmiServices | src/applications/SRAnonTool/CTP_DicomToText.py | CTP_DicomToText.py | py | 13,521 | python | en | code | 18 | github-code | 71 | [
{
"api_name": "SmiServices.IdentifierMapper.CHItoEUPI",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "SmiServices.IdentifierMapper",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "os.path.isdir",
"line_number": 84,
"usage_type": "call"
},
{
... |
41936897456 | from ctypes import *
import cv2
from PyQt5 import QtWidgets, QtGui, QtCore
import numpy as np
# Carrega a biblioteca compartilhada contendo a função de filtro de mediana em C
mediana_lib = CDLL("./filtro_mediana.so")
# Define os tipos de argumentos e retorno para a função de filtro de mediana em C
mediana_lib.filtro_... | marcio-henriquemh/Processamento-de-Imagens-UFS | filtro_mediana/filtro_2.py | filtro_2.py | py | 5,525 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "numpy.ctypeslib.as_array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.ctypeslib",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.medianBlur",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PyQt5.Qt... |
21661705717 | import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader, Dataset
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
import json
from collections import Counter
# Load the features from the JSON file
with open('./features.json',... | mbooch22/pet-celebrity-lookalike-backend | src/train_classifier.py | train_classifier.py | py | 2,615 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_nu... |
27004898360 | #!/usr/bin/env python
# data analysis example program
# Including some examples of how to use DataFrames from pandas
#
# Usage :
# python analysis.py -i test.dat
import pickle
import numpy as np
import matplotlib.pyplot as plt
import argparse
from event import Event, Pulse
parser = argparse.ArgumentParser(descripti... | jimbrooke/CosmicRayExpt | analysis/analysis.py | analysis.py | py | 2,319 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "event.pulses",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "event.pulses",
... |
2203550366 | from setuptools import setup, find_packages
requirements = [
'numpy >=1.14.6',
'scipy >=1.1.0',
]
setup_requires = [
'numpy',
'scipy'
]
setup(
name = 'clayton',
version = '0.0.3',
description = 'Sampling from copulae',
long_description=open('README.md', 'r').read(),
author = 'Al... | Aleboul/clayton | setup.py | setup.py | py | 563 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "setuptools.setup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 24,
"usage_type": "call"
}
] |
17660048180 | from flask import Flask, render_template, request, redirect, flash
from flask_debugtoolbar import DebugToolbarExtension
from utility import append_data,load_data
app = Flask(__name__)
app.config["SECRET_KEY"] = 'whateverpassword'
app.config["SEND_FILE_MAX_AGE_DEFAULT"] = 0
tales = load_data()
@app.route('/')
def mai... | nikgun1984/Madlibs-with-Flask | app.py | app.py | py | 1,200 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utility.load_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_templa... |
12811777879 | import os
from celery import Celery
from celery.schedules import crontab
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'backend.settings')
app = Celery('backend')
# Using a string here means the worker don't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-re... | jacoblimjy/HawkHub-Software-Engineering-Project | backend/backend/celery.py | celery.py | py | 1,194 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.environ.setdefault",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "celery.Celery",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "celery.schedules.cro... |
70320639911 | """survey URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Clas... | QoobIY/survey | survey/survey/urls.py | urls.py | py | 2,056 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "rest_framework.schemas.openapi.SchemaGenerator",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 44,
"usage_type": "attribute"
... |
24850055028 | import sys
import hashlib
import random
import statistics
import math
import time
def getParameters():
try:
u = sys.argv[1]
k = sys.argv[2]
c = sys.argv[3]
widthOfConfidenceInterval = sys.argv[4]
if (u is False or k is False or c is False or widthOfConfidenceInterval is Fals... | CarlTern/MicroMintSimulator | MicroMintSimulator.py | MicroMintSimulator.py | py | 2,553 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
28833280692 | import tensorflow as tf
import tensorflow.keras as tfk
from ..utils.metrics import AOP
class ProtectedClassifier(tfk.Model):
def __init__(self, classifier, discriminator):
super(ProtectedClassifier, self).__init__()
self.classifier = classifier
self.softmax = tfk.Sequential(classifier.layer... | EugenioTL/discriminative-adversarial-privacy | models/discriminative_adversarial_privacy_model.py | discriminative_adversarial_privacy_model.py | py | 9,004 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "tensorflow.keras.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
70897413990 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
class SiameseNetwork(nn.Module):
def __init__(self, args):
super(SiameseNetwork, self).__init__()
C = args.output_... | rifkiaputri/Relation-Aligner | siamese_pcnn.py | siamese_pcnn.py | py | 3,483 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
... |
20585713793 | #!/usr/bin/env python
# coding: utf-8
# <h1> Functionality 3 - Shortest Ordered Route</h1>
#import libraries
import pandas as pd
import csv
import networkx as nx
import matplotlib.pyplot as plt
from networkx.algorithms.shortest_paths.weighted import single_source_dijkstra
import collections
import heapq
from collecti... | pujacj/ADM-HW5 | func_3.py | func_3.py | py | 11,631 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.DataFrame",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "itertools.g... |
34097992762 | def get_arduino(port=None):
"""
This is a PyFirmata 'helper' that tries to connect to an Arduino
compatible board.
If no port is informed, using pyserial's serial.tools.list_ports.comports(),
if one port is found, tries that one. If more than one port is found,
shows for the user to choose ... | villares/sketch-a-day | 2023/sketch_2023_06_12/inputs.py | inputs.py | py | 3,931 | python | en | code | 193 | github-code | 71 | [
{
"api_name": "serial.tools.list_ports.comports",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "serial.tools.list_ports",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pyfirmata.Arduino",
"line_number": 47,
"usage_type": "call"
},
{
"api_na... |
69967635749 | """Utilities for reading and plotting ArcGIS binary files.
This module contains some simple functions to make it easier
to read and plot the data contained in the binary grid files
produced by ArcGIS.
"""
import sys
import numpy as np
from numpy import ma
def read_bin(fname):
"""Read data from a ArcGIS binary f... | sahg/PyTOPKAPI | pytopkapi/arcfltgrid.py | arcfltgrid.py | py | 2,336 | python | en | code | 20 | github-code | 71 | [
{
"api_name": "numpy.fromstring",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.byteorder",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.ma.masked_where",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "numpy.ma",
... |
26539423626 | from flask import render_template,request,session,g,flash,Flask,redirect,url_for
from Controller import Configure
import pyrebase
from datetime import datetime
firebase = pyrebase.initialize_app(Configure.firebaseConfig)
auth = firebase.auth()
db = firebase.database()
storage = firebase.storage()
def delete... | OmarAhmed8581/Tele-Medicines | Controller/Order/Order.py | Order.py | py | 1,806 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "pyrebase.initialize_app",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Controller.Configure.firebaseConfig",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "Controller.Configure",
"line_number": 6,
"usage_type": "name"
},
{
... |
30138936658 | #!/usr/bin/pthon3
""" UserSearches Module """
from os import getenv
import models
from models.base_model import BaseModel, Base
from sqlalchemy import Column, String, ForeignKey, Integer, DateTime, Text,\
MetaData, Table
from sqlalchemy.orm import relationship, backref
storage_t = getenv("PHARMACY_Storage")
cla... | Nne85/Pharma_Finda | models/user_searches.py | user_searches.py | py | 1,050 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.base_model.BaseModel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.base_model.Base",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.s... |
25480809011 | from sklearn.model_selection import GridSearchCV
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction.text import TfidfVectorizer
from cleansing import *
from load_data import load_IMDb
import nltk
def main():
x_train = load_clean_data()
y_t... | onnga-wasabi/ml | ch08/train.py | train.py | py | 1,748 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "load_data.load_IMDb",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "load_data.load_IMDb",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "n... |
3609384723 | import json
from exceptions import FormatException, UnsupportedException
from lib.utils import base64_url_decode
class JWT:
def __init__(self, text):
jwt = text.split('.')
if len(jwt) != 3:
raise FormatException("jwt")
self.header = json.loads(base64_url_decode(jwt[0]).decode... | tMorriss/attestation_checker | lib/jwt.py | jwt.py | py | 673 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "exceptions.FormatException",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lib.utils.base64_url_decode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jso... |
40380697400 | #!/usr/bin/env python3
"""Functional Python Programming
Chapter 9, Example Set 3
http://www.tylervigen.com/view_correlation?id=7
http://www.tylervigen.com/view_correlation?id=97
http://www.tylervigen.com/view_correlation?id=3890
http://www.tylervigen.com/view_correlation?id=43
"""
# pylint: disable=wildcard-import... | PacktPublishing/Functional-Python-Programming-Second-Edition | Chapter09/ch09_ex3.py | ch09_ex3.py | py | 8,210 | python | en | code | 81 | github-code | 71 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 21,
"usage_type": "name"
},
{
"api_nam... |
70944145511 | #------------------------------------------------------------------------------
"""
Driver for a VersaTenn III Environmental Chamber Controller
"""
#------------------------------------------------------------------------------
import serial
import time
#-------------------------------------------------------------... | deadsy/tenney | vt3/vt3.py | vt3.py | py | 2,044 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "serial.Serial",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "serial.SEVENBITS",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "serial.PARITY_ODD",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "serial.STO... |
24856624188 | from keywords import keywords
from decision import best_children, best_branches
from pandas_to_tree import pandas_to_tree
from flow import high_scores
import pandas as pd
from chatbot import EchoBot, recieveMessage, sendMessage
from RLchatbot import giving_points
from datetime import date
from matplotlib.dates import d... | DhilenChin/ShoeString-Error404 | graph.py | graph.py | py | 3,318 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "keywords.keywords",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas_to_tree.pandas_to_tree",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "chatb... |
32619331951 | from django.shortcuts import render, get_object_or_404,HttpResponseRedirect
from .models import Category, Product
from cart.forms import CartAddProductForm
def product_list(request, category_slug=None):
category = None
categories = Category.objects.all()
products = Product.objects.filter()
cart_produc... | Eapu/pizza | orders/views.py | views.py | py | 1,272 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "models.Category.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Category.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Category",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": ... |
10794977280 | from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login
from .forms import LoginForm
from django.contrib.auth.models import User, auth
from django.contrib.auth.forms import UserChangeForm
from user.models import *
from .models import Profile
from .models import Event
fr... | ramrishi1/Dotage | user/views.py | views.py | py | 6,038 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name"... |
36398303124 | from flask import url_for
from urllib.parse import parse_qs
from urllib3.util import parse_url
from app.config import URL, PROTON_CLIENT_ID
def test_login_with_proton(flask_client):
r = flask_client.get(
url_for("auth.proton_login"),
follow_redirects=False,
)
location = r.headers.get("Loc... | simple-login/app | tests/auth/test_proton.py | test_proton.py | py | 650 | python | en | code | 4,235 | github-code | 71 | [
{
"api_name": "flask.url_for",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib3.util.parse_url",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse_qs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.config... |
42852917684 | import bs4
import re
from crawler import Crawler
class Winha(Crawler):
"""Inherits Crawler class. Simulates the browser to login in to the Winha student system, in order to get the desired data based on the
HTML documents. The desired data in this case are student information, courses, and gpa & grades distri... | likair/VAMK.help | vamk/api/winha.py | winha.py | py | 11,240 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "crawler.Crawler",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "crawler.Crawler.__init__",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "crawler.Crawler",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "bs4.Beautiful... |
5328399717 | import webbrowser as web
import datetime
import demjson
from tools import url_tools
from common.constant import *
DYNAMIC_URL = "https://www.bilibili.com/video/"
def to_obtain_dynamic_list(last_time: datetime.datetime, limit=100):
myid = "22966665"
# 获取最新动态
data = url_tools.http2json(b_url[MYSELF_NEW_DYN... | QiWenLV/BTools-server | browser/open_dynamic.py | open_dynamic.py | py | 2,680 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tools.url_tools.http2json",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tools.url_tools",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tool... |
70886299109 | import numpy as np
import FinanceDataReader as fdr
import ML_RSB_env as RSB
import matplotlib.pyplot as plt
# Index(['Open', 'High', 'Low', 'Close', 'Volume', 'Change'], dtype='object')
stock = fdr.StockListing('KOSPI')
Find_id = stock['Name']
cmp_code = stock['Code']
stock_value = "삼성전자"
iid = int(Find_id... | Jeonsangeun/Stock_RL | ML_TEST/ML_RoboStockbuyer.py | ML_RoboStockbuyer.py | py | 2,884 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "FinanceDataReader.StockListing",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "FinanceDataReader.DataReader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
34072935226 |
import yt
#yt.funcs.mylog.setLevel(40)
#
# Nov 2017: Units bug in Enzo domain mass flux that needs to be corrected
# by root grid dx^2. However, to avoid confusion, for now,
# just make this a global post-process correction. Leaving as bug
# in Enzo.
#
APPLY_CORRECTION_TO_BOUNDARY_MASS_... | aemerick/galaxy_analysis | analysis/_galaxy_analysis.py | _galaxy_analysis.py | py | 59,804 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "galaxy_analysis.utilities.utilities.nooutput",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "galaxy_analysis.utilities.utilities",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "yt.load",
"line_number": 82,
"usage_type": "call"
},
... |
8685054258 | import pandas as pd
#import json
import datetime
# this piece of code will add the mode artiact had model history into a data frame
try:
print("no error")
except exception as err:
print(err)
print("Error appear in the code")
class ModelVersioning:
def __init__(self, trained_model):
self... | MahendraKIITian/demo | model_history.py | model_history.py | py | 1,003 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "attribute"
}
] |
28682226333 | import requests
import json
import LMIPy
import os
# user input needed
# enter the location of the json file containing your minimal dataset info json (no layers)
dataset_json_data_loc = '' # ex: /home/data/aqueduct_rw_api_2021-02-19/aq_floods_minimal_2021-02-19.json
# enter the location of the folder containing your ... | resource-watch/data-team-tools | restore_dataset/restore_dataset_from_json.py | restore_dataset_from_json.py | py | 3,940 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 25,
... |
16127243230 | """
https://leetcode.com/problems/flower-planting-with-no-adjacent/
1042. Flower Planting With No Adjacent
Easy
-----------------------
You have N gardens, labelled 1 to N. In each garden, you want to plant one of 4 types of flowers.
paths[i] = [x, y] describes the existence of a bidirectional path from garden x to ga... | liuyanhui/leetcode-py | leetcode/1042_flower_planting_with_no_adjacent/flower_planting_with_no_adjacent.py | flower_planting_with_no_adjacent.py | py | 3,158 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "collections.defaultdict",
"line_number": 56,
"usage_type": "call"
}
] |
34869487356 | from flask import Flask, render_template, request
from flask_uploads import UploadSet, configure_uploads, IMAGES
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.db'
db = SQLAlchemy(app)
class User(db.Model):
id = db.Column(db.Integer, primar... | NareshAtnPLUS/flask-image-upload | upload.py | upload.py | py | 1,116 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_uploads.UploadSet",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask_u... |
7794763880 | from __future__ import annotations
import importlib
import os
import sys
import typing
import pytest
from _pytest.monkeypatch import MonkeyPatch
from pytest_mock import MockerFixture
from platformdirs.unix import Unix
def test_user_documents_dir(mocker: MockerFixture) -> None:
example_path = "/home/example/Exa... | 0xallie/platformdirs | tests/test_unix.py | test_unix.py | py | 4,143 | python | en | code | null | github-code | 71 | [
{
"api_name": "pytest_mock.MockerFixture",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "platformdirs.unix.Unix",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytest_mock.MockerFixture",
"line_number": 22,
"usage_type": "name"
},
{
"api_na... |
37573902973 | import pygame, sys
from settings import *
from level import Level
import colores
import constantes
#Iniciamos el juego
pygame.init()
#tamaño da ventana
screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))
clock = pygame.time.Clock()
level = Level(level_map, screen)
#Bucle principal del juego
while True:
... | a21pablogo/pythonProject2 | main.py | main.py | py | 520 | python | es | code | 0 | github-code | 71 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cl... |
17793950997 | from django.urls import path
from . import views
urlpatterns = [
path('create_report/', views.create_report),
path('reports/', views.ReportListView.as_view(), name='reports'),
path('report/<int:pk>', views.ReportDetailView.as_view(), name='report'),
path('report/<int:pk>/edit', views.update_report_metrics... | S3raphimCS/Hackathon_telehack | backend/SPO_KROT/metrics/urls.py | urls.py | py | 563 | python | en | code | 4 | github-code | 71 | [
{
"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",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
14356835871 | #!/usr/bin/env python3
import os
import numpy
import argparse
here = os.path.dirname(os.path.realpath(__file__))
def gen_board(size_x, size_y, height, num_towers, seed):
numpy.random.seed(seed)
board = [[0 for x in range(size_x)] for y in range(size_y)]
cells = [(x, y) for x in range(size_x) for y in r... | fickert/fast-downward-nancy | training/generators/termes/gen_random_tower_boards.py | gen_random_tower_boards.py | py | 1,361 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"l... |
14084438396 | """
http://adventofcode.com/2017/day/2
"""
from typing import List
def parse_table(table: List[str]) -> List[List[int]]:
return [[int(val) for val in row.split()]
for row in table]
def row_checksum(table: List[str]) -> int:
rows = parse_table(table)
return sum(max(row) - min(row) for row in ... | aboucaud/adventofcode2017 | day02/day02.py | day02.py | py | 1,042 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 2... |
15625243405 | import yaml
import subprocess
import kubernetes
import json
from kubernetes import client, config
config.load_kube_config()
with open("namespace.json", "r") as config_file:
namespace_config = json.load(config_file)
label_2 = namespace_config.get("label", {}).get("app", "")
namespace = namespace_config["namespace"... | arthur-1205/capstone | 05_Deny_all_traffic_from_app_to_app.py | 05_Deny_all_traffic_from_app_to_app.py | py | 4,108 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "kubernetes.config.load_kube_config",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "kubernetes.config",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "kubernet... |
8827844927 | """This module defines the handler that handles avatar image requests."""
from ng import httpfilters
from ng.database import MySQLDatabase
from ng.http import HttpResponse, HttpErrorResponse
from ng.models import Avatar
from ng.views import TemplateView, ImageView, StaticView
import config
import _accounthelper
def... | lichuanzju/ngavatar | src/scripts/cgi/handlers/_avatar.py | _avatar.py | py | 1,762 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "config.static_filepath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ng.views.StaticView",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ng.http.HttpErrorResponse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "... |
15829272016 | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import solfuzz, sys, os, threading
import logging, json, glob
logger = logging.getLogger()
try:
import flask
templates = os.path.abspath(os.path.join(os.path.dirname(__file__), 'templates'))
app = flask.Flask(__name__, template_folder=templates)
logger.in... | holiman/solfuzzz | solfuzzweb.py | solfuzzweb.py | py | 2,475 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"lin... |
71127312871 | import logging
import pymysql
import csv
import pandas as pd
from sqlalchemy import create_engine
import datetime
class MysqlDB():
def __init__(self):
self.conn = 0
self.cursor = 0
def dbconnect(self):
try:
self.conn = pymysql.connect(host='localhost', port=3306, user='roo... | itskathyc/pythonProject | common/Database.py | Database.py | py | 4,694 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pymysql.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.error"... |
1872244587 | import csv
import math
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from numpy.linalg import norm
from scipy.signal import find_peaks
import utils
# Če je True zapiše rezultate v datoteko
write = True
# Št. let
leta = 100
# Uvozi rešitve ode
intervali, rZemlja, rL... | rokuk/sim-precesija-lune | scripts/apsidal.py | apsidal.py | py | 2,691 | python | sl | code | 0 | github-code | 71 | [
{
"api_name": "utils.readstate",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils.gmZemlja",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "utils.gmLuna",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "utils.gmZemlja"... |
10007267175 | from django.shortcuts import render
from django.shortcuts import HttpResponse, render
from random import randint
import os
import re
import requests
from pymongo import MongoClient
from bson import ObjectId
# Configuring the logger
import logging
logger = logging.getLogger(__name__)
# Configuring MongoDB
client = ... | gomezportillo/SSBW | ejercicios/views.py | views.py | py | 9,549 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.HttpResponse",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "d... |
21447059863 | from django.shortcuts import render,redirect
from .models import Vendors, Vouchers , Suggest_Reward,Redemption_Request , budget
from Users.models import User , announcements
from activities.models import Points
from django.core.mail import send_mail
import pytz
from datetime import datetime,date,timedelta
from django.h... | MahmoudAbdelkhalek5o5o/ECS_Reward_System | ECS_Reward_System/Rewards/views.py | views.py | py | 13,889 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pytz.UTC",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.Vendors.... |
40323900737 | import itertools
def cross(a,b):
c = []
c.append(a[1]*b[2]-a[2]*b[1])
c.append(a[2]*b[0]-a[0]*b[2])
c.append(a[0]*b[1]-a[1]*b[0])
return c
def positiveCross(a,b):
c = cross(a,b)
if c[2] < 0:
c[0] = -c[0]
c[1] = -c[1]
c[2] = -c[2]
return c
def unitize(a):
le... | emlynx/tropical | naiveHull.py | naiveHull.py | py | 2,471 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "itertools.combinations",
"line_number": 50,
"usage_type": "call"
}
] |
21576951892 | #std lib packages
from io import StringIO, BytesIO
import os
import os.path as path
import socket
import sys
#user-defined packages
from util.parser import Parser
class Client:
def __init__(self):
self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
#http_bind_address
self.BUFFER... | sgilz/socket-service | client/client.py | client.py | py | 6,957 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "socket.socket",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "util.parser... |
33934755305 | import logging
import textwrap
import uuid
from dateutil.relativedelta import relativedelta
from odoo import api, fields, models, _
from odoo.exceptions import ValidationError, UserError
from odoo.tools import float_is_zero
_logger = logging.getLogger(__name__)
class SurveyUserInput(models.Model):
""" Metadata... | odoo/odoo | addons/survey/models/survey_user_input.py | survey_user_input.py | py | 45,288 | python | en | code | 31,745 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many... |
72240606951 | """
Test cases for Order Model
"""
import logging
import unittest
import os
from service import app
from service.models import Order, Item, DataValidationError, db
from tests.factories import OrderFactory, ItemFactory
DATABASE_URI = os.getenv(
"DATABASE_URI", "postgresql://postgres:postgres@localhost:5432/postgre... | CSCI-GA-2820-SP23-001/orders | tests/test_models.py | test_models.py | py | 11,253 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "service.app.config",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "service.app"... |
72110259749 | # author: choi sugil
# date: 2023.10.25 version: 1.0.0 license: MIT brief: keyward
# description: 데이터클래스 와 클래스를 연동하는 프로그램 sqlite로 데이터를 읽어옴
from dataclasses import dataclass, field
import sqlite3
@dataclass
class StudentArg:
name: str
korean: int = 0
math: int = 0
english: int = 0
science: int = 0
... | freshmea/chungnam_chatbot | python/a64_class_method_dataclassAndMethod_sqlite.py | a64_class_method_dataclassAndMethod_sqlite.py | py | 1,764 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "dataclasses.field",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 54,
"usage_type": "call"
}
] |
41573922312 | import os
import pandas as pd
import numpy as np
from upsetplot import from_contents, plot
import matplotlib.pyplot as plt
from GEN_Utils import FileHandling
from loguru import logger
logger.info('Import OK')
input_folder = 'results/tpemi_proteomics/peptide_summary/'
output_folder = 'results/tpemi_proteomics/interse... | dezeraecox-manuscripts/COX_Proteome-organisation | src/tpemi_proteomics/intersections.py | intersections.py | py | 3,764 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "loguru.logger.info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
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