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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70160489332 | import numpy as np
import cv2
import cv2.aruco as aruco
aruco_dict = aruco.getPredefinedDictionary(aruco.DICT_4X4_250)
cap = cv2.VideoCapture(1
,cv2.CAP_DSHOW
)
print(cap.get(cv2.CAP_PROP_FRAME_WIDTH),cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
width = 1920
height = 1080
cap.set(cv2.CAP_PROP_FRAME_WIDTH,wid... | akshatnagar50/Vision-Based-Drone-Controller | miscll/aruconew.py | aruconew.py | py | 2,372 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.aruco.getPredefinedDictionary",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.aruco",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "cv2.aruco.DICT_4X4_250",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "... |
24239641420 | import pytest
from business.s3 import S3
from schema.s3 import BucketImageNameSchema
file = {'file': open("./test/locate_thanos.jpeg", "rb")}
user_guid = "test"
path_name_location = "location"
image_name_download = BucketImageNameSchema(image_name="locate_thanos.jpeg")
class Image(object):
file = open("./test/lo... | andrequeiroz2/boto3s3 | src/test/test_s3.py | test_s3.py | py | 1,405 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "schema.s3.BucketImageNameSchema",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name":... |
32611370653 | from Manga import Manga
import argparse
# parse range to list
def parseRange(strRange):
newRange = []
for r in strRange.split(','):
if (not '-' in r):
newRange.append(int(r))
else:
rs = r.split('-')
newRange.extend(list(range(int(rs[0]), int(rs[1])+1)))
... | Isaac-the-Man/MangaRock-dl | Main.py | Main.py | py | 1,410 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Manga.Manga",
"line_number": 33,
"usage_type": "call"
}
] |
33532798047 | import requests
from bs4 import BeautifulSoup
import re
def getevents():
r = requests.get('http://google.com/search?q=calls%20for%20proposals')
soup = BeautifulSoup(r.content, 'html.parser')
# print(soup)
s = soup.find_all('a')
# url=s.find_all('a')
# print(url)
data_list = []
url={}
cnt=... | RahulPanwar1/Call-for-proposals-website | crawling links/tempCodeRunnerFile.py | tempCodeRunnerFile.py | py | 1,095 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.... |
19784638441 | '''
4. 计算准确率和召回率
'''
from sklearn.metrics import accuracy_score, recall_score
def calculate_metrics(y_true, y_pred):
accuracy = accuracy_score(y_true, y_pred)
recall = recall_score(y_true, y_pred)
return accuracy, recall
if __name__ == "__main__":
# 1. 根据区域点的数量生成这样的list，脏区域为全1
y_true = [0,... | john0819/Solar_panel_detection | Classification_get_data/Calculate_metrics.py | Calculate_metrics.py | py | 752 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.recall_score",
"line_number": 11,
"usage_type": "call"
}
] |
17276589959 | #Fases necesarias para guardar información en archivos externos
#creación, apertura, manipulación, cierre
#=================== escritura ===========================
#Accedemos a la libreria IO
from io import open
#dos parámetros, la ruta y que queremos hacer, lectura, escritura append
#CREACIÓN-APERTURA
archivoText... | Irissf/Archivos_Externos_Python | TextoPlano.py | TextoPlano.py | py | 1,202 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "io.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 34,
"usage_type": "call"
}
] |
39685922701 | from sklearn.decomposition.pca import PCA
import numpy as np
import pandas as pd
prices = pd.read_csv("close_prices.csv")
X = prices.loc[:, "AXP":]
est = PCA(n_components=10)
est.fit(X)
total = 0.0
for num, val in enumerate(est.explained_variance_ratio_):
total += val
if total >= 0.9:
with open("1", "... | GMKornilov/coursera-hse-ml | week_4/pca/pca.py | pca.py | py | 719 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.pca.PCA",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.r... |
2845261731 | from django.shortcuts import get_list_or_404, render
from rest_framework.views import APIView
from Gail_Backend import serializers
from Gail_Backend.serializers import MotorSerializer
from .models import Motor, Current, Voltage
from rest_framework.response import Response
from rest_framework import status
# Create yo... | parthn2/GailBackend | Gail_Backend/views.py | views.py | py | 1,608 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Motor.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Motor.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"a... |
36379291305 | #Importing necessary libraries
import string, pandas as pd, numpy as np
from nltk.tokenize import sent_tokenize
from imblearn.under_sampling import NearMiss
from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.metrics... | Surya-Narayan/fake-reviews-detection | CODE/FeatureEngineering.py | FeatureEngineering.py | py | 12,597 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "wordcloud.WordCloud",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplo... |
9660293338 | import torch
import torch.optim as optim
import torch.nn as nn
from model_new import CapGenerator
from dataLoader import ImageCaptionSet, build_dictionary,get_loader, prepare_entry
from torch.autograd import Variable
import sys
import numpy as np
import os
import pickle
import shutil
from torch.nn.utils.rnn import pack... | weixishuo/image-caption | train_new.py | train_new.py | py | 8,138 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.manual_seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.exis... |
22498619617 | import os
import sys
import time
from signal import SIGTERM, SIGKILL
import errno
import argparse
import logging
import signal
from config.files import PID_FILE, LOG_FILE
from config.config import FRONTEND
from core.core import Core
from core.libs.logger import Logger
from gui import getPyHtmlGuiInstance
class Daemon(... | perfect-privacy/vpn-client | launcher/services/linux_daemon.py | linux_daemon.py | py | 8,163 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "signal.signal",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "signal.SIGTERM",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "signal.signal",
... |
9114309415 | import pandas as pd
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--dir", help="the directory where raw files are stored", type=str, default='.')
args = parser.parse_args()
dir = args.dir
barra_df = pd.read_csv("%s/barra_df.csv" % (dir), header=0, sep='|', dtype={'gvkey': str}, parse_dates=[0]... | timothyyu/ml_monorepo | statarb/show_raw.py | show_raw.py | py | 684 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv"... |
11530055939 | # Name: Tessa Pham
# File: PCA.py
# Implements the PCA method to analyze and compare texts.
# process the Brown corpus
# calculate the frequencies of the function words
import nltk
from nltk.corpus import *
# import pandas as pd
import numpy as np
from numpy import array, mean, cov
from numpy.linalg import eig, svd
... | tessapham/PCA-python | PCA.py | PCA.py | py | 3,356 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nltk.FreqDist",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "nltk.DefaultTagger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "nltk.UnigramTagger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nltk.BigramTagger... |
10604658365 | import statistics
from typing import Tuple, List
import numpy as np
import gym
import time
import tensorflow as tf
import collections
import tqdm
from a2c import Actor, Critic
class LunarLanderAI(object):
def __init__(self):
"""initialize a LunarLanderAI to train with the a2c method."""
self._env... | Pirner/small_rl_projects | projects/beginner/lunar_lander/learning.py | learning.py | py | 7,849 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gym.make",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "a2c.Actor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "a2c.Critic",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.losses.Huber",
"li... |
37596763792 | import torch.nn as nn
import torch.nn.functional as F
import torch
from .dgcnn_agent import DGCNNAgent, DGCNNAgent_logits
class SACAgent(nn.Module):
def __init__(self, input_shape, args):
super(SACAgent, self).__init__()
self.args = args
self.device = args.device
self.n_agents = arg... | sputnik524/3DV_2023 | src/modules/agents/rlsac_agent.py | rlsac_agent.py | py | 3,873 | python | en | code | 0 | github-code | 21 | [
{
"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.ModuleList",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
1907175421 | import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread(r'c:\temp\batata.png',cv2.IMREAD_COLOR)
height, width, chans = img.shape
sw=width/4
sh=height/4
ew=sw*3
eh=sh*3
cv2.rectangle(img, (int(sw),int(sh)), (int(ew),int(eh)), (0,0,255),3)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAll... | doronweiss/pythontesta | GeneralTests/pycv.py | pycv.py | py | 474 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_n... |
41847117201 | from matplotlib import pyplot as plt
import seaborn as sns
import scipy.stats as stats
import numpy as np
n_bandits = 4 # number of arms
p_bandits = [0.45, 0.50, 0.60, 0.70] # assumed probabilities of success for each arm
# define a function to pull an arm
def pull(chose_bandit): # iter is the index of the arm to pul... | abhay-lal/RL | adrec.py | adrec.py | py | 1,891 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.rand",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.stats.beta",... |
35912474267 | import time
import torch
import numpy as np
import torch.nn as nn
import torchvision as tv
import torchvision.transforms as tr
from torch.utils.data import DataLoader
from tqdm import tqdm
from datetime import timedelta
from ExpUtils import *
from utils.utils import plot
from utils.eval_quality import eval... | sndnyang/Diffusion_ViT | Task/eval_tasks.py | eval_tasks.py | py | 11,597 | python | en | code | 33 | github-code | 21 | [
{
"api_name": "torch.backends",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.backends",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",... |
12310107431 | from django.shortcuts import render
from rest_framework import views,status
from rest_framework.response import Response
from .models import Records,DailyRecord
from .serializers import RecordSerializer , DailyRecordSerializer
from Profile.models import Profile
from users.models import User
from datetime import ... | michaelkigen/testmanage | records/views.py | views.py | py | 4,487 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "users.models.User.objects.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "users.models.User.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "users.models.User",
"line_number": 17,
"usage_type": "name"
},
{
"ap... |
20727066402 | import io
from operator import mod
import sys
_INPUT = """\
4 6
#.#3#.
###.#.
##.###
#1..#.
"""
sys.stdin = io.StringIO(_INPUT)
# ---------------------------------
r, c = map(int, input().split())
grid = [list(input()) for _ in range(r)]
def check(src, dst):
if dst in [".", "#"]:
return src
dst_... | makima333/Atcoder-ganbaru | contest/abc295/B.py | B.py | py | 1,250 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 14,
"usage_type": "call"
}
] |
31112225664 | from sklearn.model_selection import train_test_split
import pandas as pd
previsores = pd.read_csv('entradas_breast.csv')
classe = pd.read_csv('saidas_breast.csv')
# dividir em classes de trainamento e de teste. No caso 25% de teste
previsores_treinamento, previsores_teste, classe_treinamento, classe_teste = train_te... | lucasAguiar11/Deep-Learning-Python | classificacao_binaria/breast_cancer_simples.py | breast_cancer_simples.py | py | 3,831 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
73032839093 | import os
import theano
import theano.tensor as T
from neupy import layers, storage
from imagenet_tools import (CURRENT_DIR, FILES_DIR, load_image,
print_top_n, download_file)
theano.config.floatX = 'float32'
SQUEEZENET_WEIGHTS_FILE = os.path.join(FILES_DIR, 'squeezenet.pickle')
def Fi... | LiuFang816/SALSTM_py_data | python/itdxer_neupy/neupy-master/examples/cnn/squeezenet.py | squeezenet.py | py | 2,258 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "theano.config",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "imagenet_tools.FILES_DIR",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "os.path"... |
38493647537 | import copy
import itertools
import operator
from typing import Literal
Decks = tuple[list[int], list[int]]
def get_player_decks() -> Decks:
with open("input/input22.txt") as input_file:
player_1, player_2 = input_file.read().strip().split("\n\n")
return [int(n) for n in player_1.split('\n')[1:]], [in... | pviafore/AdventOfCode2020 | challenge22.py | challenge22.py | py | 2,055 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Literal",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "itertools.starmap",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"li... |
17495507623 | #!/usr/bin/python
# by Yusuke Satoh (NIES->KAIST)
import sys
import os
import itertools
import numpy as np
import matplotlib.pyplot as plt
import numpy.ma as ma
import pandas as pd
import matplotlib as mpl
import datetime
from numpy import fromfile, array, zeros, where
from numpy import divide, median, mean, subtract, ... | yusuke61/tfe_scripts | scripts/basicMaps.RCPxFuture.1Dcolorbar.py | basicMaps.RCPxFuture.1Dcolorbar.py | py | 95,936 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.uname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
186005823 | import pandas as pd
import numpy as np
import glob
from datetime import date
# regular dict functions the same way (being ordered) but backwards compatibility is an issue
from collections import OrderedDict
'''
USAGE: Execute in directory with arbitrary number of particle.star files.
Program will compare particle ide... | LMalfoy/INI3DR | ParticleIdentities/ParticleIdentities.py | ParticleIdentities.py | py | 5,736 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
... |
28949487183 | # li = ['aaa','bbb','ccc']
# with open(r'eng.txt', 'w') as f:
# for i in li:
# f.write(i + '\n')
import numpy as np
import json
name = ['joker','joe','nacy']
filename = 'name.json'
with open(filename,'w') as file_obj:
json.dump(name,file_obj)
with open(filename) as f:
names = json.load(f)
print(name... | pksolar/sailus | callSum/callbase_1.2_msk_1_1.1/tools/writeTxt.py | writeTxt.py | py | 944 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.dump",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
}
] |
23098102263 | DEBUG=0
import math,copy
import torch
import torch.nn.functional as F
from torch import nn
from .pos_encode import RealEmbedding
from collections import defaultdict
#These are taken from the Annotated Transformer (http://nlp.seas.harvard.edu/2018/04/03/attention.html#attention)
def clones(module, N):
"Produce N ... | herobd/dessurt | model/attention.py | attention.py | py | 9,814 | python | en | code | 46 | github-code | 21 | [
{
"api_name": "torch.nn.ModuleList",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.matmul",
"line_n... |
73028139573 | from __future__ import print_function, division, absolute_import
import sys
import os
import traceback
import socket
import subprocess
import resource
from pkg_resources import resource_filename
from math import ceil
import errno
import logging
import multiprocessing
import time
import pynisher
SMAC_VERSION = "... | LiuFang816/SALSTM_py_data | python/automl_pysmac/pysmac-master/pysmac/remote_smac.py | remote_smac.py | py | 14,837 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "multiprocessing.get_logger",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 129,
"usage_type": "attribute"
},
{
"api_name": "socke... |
30548173106 | import psycopg2
import logging
import datetime
from .connection import get_connection, close_connection
from ..entities.student import Student
from .student_proficiency import get_student_proficiency, insert_student_proficiency
from .student_data import get_student_data, insert_student_data
from ...misc.date_tools imp... | ALLUOS/ALLUOS_PUBLIC_APP | src/backend/db/student.py | student.py | py | 4,882 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "connection.get_connection",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "student_proficiency.get_student_proficiency",
"line_number": 37,
"usage_type": "call"
},
... |
8842431291 | import cv2
from pyzbar.pyzbar import decode, ZBarSymbol
from pyzbar import pyzbar
img = cv2.imread(
"imgs/bar1.jpeg", 2) # if use cv2
# specify code type
codes = pyzbar.decode(img) # auto detect code type
print('Decoded:', codes)
if len(codes) == 0:
imgr = cv2. rotate(img, rotateCode=2)
h, w = img.sha... | Vicrrs/barcode_and_qrcode_reader | testes/testes3.py | testes3.py | py | 1,395 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyzbar.pyzbar.decode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyzbar.pyzbar",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cv2.rotate",
"line_num... |
27647513648 | #!/usr/bin/env python
import sys
import numpy
import argparse
import itertools
from shapely.ops import cascaded_union
from shapely.geometry import Point, MultiPoint, Polygon, box
from shapely.affinity import rotate, scale, translate
from fpdf import FPDF
def Scale(x, y, scale):
return numpy.multiply(x, scale), num... | shashankramesh/DOME-Website | DOME_GEAR/Gear_Production_Drawing.py | Gear_Production_Drawing.py | py | 16,134 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.multiply",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "shapely.affinity.scale",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "numpy.add",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"... |
73067926772 | import os
import sys
import argparse
import collections
from fnmatch import fnmatch
def accumulate_table(pattern, dir_name, files, result_table):
for filename in files:
if fnmatch(filename, pattern):
fl_path = os.path.join(dir_name, filename)
with open(fl_path, "r") as fl:
... | zaycev/mokujin | tools/reduce.py | reduce.py | py | 1,959 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "fnmatch.fnmatch",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
... |
26650042820 | import pygame
from ..entity import DirectedEntity
from .. import container
import random
import math
class DroppedItem(DirectedEntity):
destroy_after = 20 * 10
width = 19 * 3/100
height = 16 * 3/100
def __init__(self, game, x, y, raw_item, direction=None, *, time_cant_be_taked=0, item_type=None, **... | AlphaNow37/PyCraft | code_src/items/dropped_item.py | dropped_item.py | py | 1,577 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "entity.DirectedEntity",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.dist",
"... |
71099267572 | """task user associaton
Revision ID: 3a0223d92d26
Revises: 3e19a67ccd5d
Create Date: 2020-03-11 13:47:32.723265
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3a0223d92d26'
down_revision = '3e19a67ccd5d'
branch_labels = None
depends_on = None
def upgrade():... | vrcompugo/EV-Manager-Data-API | migrations/versions/3a0223d92d26_task_user_associaton.py | 3a0223d92d26_task_user_associaton.py | py | 863 | python | en | code | 0 | github-code | 21 | [
{
"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... |
23816189863 | # -*- coding: utf-8 -*-
"""Proxy Module.
Routes and ratelimits all calls to the API.
"""
import asyncio # noqa: F401
import json
import logging
import os
import sys
from datetime import datetime, timezone
import settings
import aiohttp
import pytz
from aiohttp import web
sys.path.append(os.getcwd())
from middleware... | DoctressWasTaken/Lightshield_proxy | server.py | server.py | py | 2,789 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "middleware.auth.ServerCheck",... |
22353012784 | # Arquivo principal de inicialização
import socket
from utils.log_server import custom_log
from response import Response
from request import Request
import json
class Snake:
__ROUTES = {}
__http_codes = {
'client': {
'400': {
'Body': '@default-page',
'Messa... | jaedsonpys/SnakeServer | snake.py | snake.py | py | 11,024 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "utils.log_server.custom_log",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 107,
"usage_type": "attribute"
},
{
"api_name": "sock... |
30637981440 | """
Solution for 297. Serialize and Deserialize Binary Tree
https://leetcode.com/problems/serialize-and-deserialize-binary-tree/
"""
# Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
from collections import de... | KKosukeee/CodingQuestions | LeetCode/297_serialize_and_deserialize_binary_tree.py | 297_serialize_and_deserialize_binary_tree.py | py | 3,227 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 95,
"usage_type": "call"
}
] |
36890851297 | import cv2
# print(img)
# cv2.imshow('image', img)
# cv2.waitKey(5000)
# cv2.destroyAllWindows()
print(type(img))
flags = [i for i in dir(cv2) if i.startswith('COLOR_')]
for j in range(190):
filename = "C:\\images\\" + str(j) + ".png"
imagetype = flags[j]
print(imagetype)
str1= print(fi... | iamravikc-python/AI | ML.py | ML.py | py | 543 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_num... |
73377731572 | # -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
from distutils.version import LooseVersion
from . import helper as hlp
from . import colors_and_lines as cl
#%%============================================================================
def missi... | jsh9/python-plot-utils | plot_utils/multiple_columns.py | multiple_columns.py | py | 41,055 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "pandas.Da... |
35878297726 | import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import numpy as np
from mpl_toolkits.basemap import Basemap
from iconfuv.ionex import get_tecmap
from matplotlib.lines import Line2D
import datetime
from skimage.draw import line
def xy_to_rc(x,y):
col = ((x+180)/5).astype(int)... | UIUC-SINE/icon-fuv | python3/asymmetry_flag/flagger.py | flagger.py | py | 2,252 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "iconfuv.ionex.get_tecmap",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.load",
... |
31632253686 | #! /usr/bin/env python3
# Author: Izaak Neutelings (June 2021)
# Description: Simple module to compile sum of weights in MC
# Instructions:
# Locally:
# python3 python/analysis/SumWeights.py
# Or with PicoProducer:
# pico.py channel sumw python/analysis/SumWeights.py
# pico.py run -c sumw -y UL2018 -s DYJetsToLL_... | cms-tau-pog/TauFW | PicoProducer/python/analysis/SumWeights.py | SumWeights.py | py | 5,399 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "ROOT.PyConfig",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "PhysicsTools.NanoAODTools.postprocessing.framework.eventloop.Module",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "ROOT.TFile",
"line_number": 24,
"usage_type": "cal... |
43315405195 | import pandas as pd
# Load the star data into a Pandas DataFrame
stars = pd.read_csv('star_data.csv')
# Check for missing values and remove or impute them
stars.isna().sum() # Check for missing values
stars.dropna(inplace=True) # Remove rows with missing values
# Encode categorical variables using one-hot e... | Wolfie8935/python_codes_wolfie8935 | code1.py | code1.py | py | 895 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 17,
"usage_type": "call"
},
{
"api_na... |
8319634997 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .net_utils import *
from .ConvFilter import *
from .SurfaceClassifier import *
class ConvIFNet(nn.Module):
'''
ConvPIFu network uses conv network as the image filter.
'''
def __init__(self, opt, loss_func=nn.MSELoss(), mod="train... | zhuhao-nju/mvfr | model/ConvIFNet.py | ConvIFNet.py | py | 5,126 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
39983786487 | # Import modules
import pygame
from pygame.locals import *
# Initialise pygame
pygame.init()
# Screen
screen_width = 1000
screen_height = 800
screen = pygame.display.set_mode((screen_width, screen_height))
# Colours
RED = (255,0,0)
GREEN = (0,255,0)
BLUE = (0,0,255)
WHITE = (255,255,255)
BLACK = (0,0,0)
class Stack... | LyleW473/Data-structures | DataStructures/Stack/Stack game/stack.py | stack.py | py | 8,182 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.re... |
73039172853 |
from __future__ import print_function
import sys
from Dataset import DatasetSeq
from CachedDataset2 import CachedDataset2
import gzip
import xml.etree.ElementTree as etree
from Util import parse_orthography, parse_orthography_into_symbols, load_json, NumbersDict, BackendEngine
from Log import log
import numpy
import ... | LiuFang816/SALSTM_py_data | python/rwth-i6_returnn/returnn-master/LmDataset.py | LmDataset.py | py | 26,611 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "CachedDataset2.CachedDataset2",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "Log.log.v4",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "Log.log",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "Util.load_json"... |
3182614804 | from flask import Blueprint, request, jsonify
from genre_classifier.predict import make_prediction
from genre_classifier import __version__ as _version
from api.config import get_logger
from api import __version__ as api_version
from api.validation import validate_inputs
_logger = get_logger(logger_name=__name__)
p... | KvRooijen/genre-classification | packages/ml_api/api/controller.py | controller.py | py | 1,523 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "api.config.get_logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask... |
24358351122 | from google.cloud import vision
import io
from pprint import pprint as pp
import json
import os
from skimage.io import imread, imshow
from skimage.transform import rescale
from google.cloud import vision_v1
from google.cloud.vision_v1 import enums
import six
import matplotlib.pyplot as plt
def sample_async_batch_an... | ShimonBezalel/gastronomy_ml | src/feature.py | feature.py | py | 12,322 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "google.cloud.vision_v1.ImageAnnotatorClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "google.cloud.vision_v1",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "six.binary_type",
"line_number": 24,
"usage_type": "attribute"
},
... |
41891090725 | from typing import Iterable
import torch
from imodal.Manifolds.Abstract import Manifold
from imodal.StructuredFields import StructuredField_m, StructuredField_0
from imodal.StructuredFields.Abstract import SumStructuredField
class NormalFrame(Manifold):
def __init__(self, dim, nb_pts, gd=None, tan=None, cotan=N... | imodal/imodal | imodal/Manifolds/NormalFrame.py | NormalFrame.py | py | 2,177 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "imodal.Manifolds.Abstract.Manifold",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.dot",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.einsum",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.trans... |
10149276243 | import logging
from collections import OrderedDict
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import CrossEntropyLoss
from transformers import BertPreTrainedModel, BertModel, PretrainedConfig, AutoConfig
from transformers.models.bert.mode... | hkjeon13/koai | koai/benchmarks/modeling_dp.py | modeling_dp.py | py | 5,478 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "transformers.models.bert.modeling_bert.ModelOutput",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
... |
24762558670 | from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
from flask_wtf import FlaskForm
from wtforms import StringField,SubmitField, BooleanField
from wtforms.validators import InputRequired
db=SQLAlchemy()
app = Flask(__name__)
app.config["S... | Vishakh2012/fl2do | app.py | app.py | py | 2,729 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "wtforms.S... |
43703055807 | from columns import *
import pyspark.sql.functions as f
def read_df(session, path, schema):
""" Читання даних у фрейм даних із CSV
Аргументи:
session: spark сесія
path: шлях до файлу csv
schema: схема набору даних
Результат:
dataframe- датафрейм
"""
df = session.re... | PavloDemidov/imdb-spark-project2 | read_write.py | read_write.py | py | 2,531 | python | uk | code | 0 | github-code | 21 | [
{
"api_name": "pyspark.sql.functions.split",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.functions.col",
"line_number": 30,
"usage_type": "call"
},
{
"api_n... |
9573974103 | import math
from typing import List
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import os
import numpy as np
def get_vals(file):
counter: int = 0
x_ax = list()
vals = list()
for line in file:
if line != '':
str_line = line.split('\t')
try:
... | egorchernook/gmr | plotter.py | plotter.py | py | 26,658 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.double",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
4214477199 | import orangecontrib.recommendation.optimizers as opt
import numpy as np
import collections
import unittest
import copy
__optimizers__ = [
opt.SGD(learning_rate=0.1),
opt.Momentum(learning_rate=0.1, momentum=0.5),
opt.NesterovMomentum(learning_rate=0.1, momentum=0.5),
opt.AdaGrad(learning_rate=0.1),
... | biolab/orange3-recommendation | orangecontrib/recommendation/tests/coverage/test_optimizers.py | test_optimizers.py | py | 4,388 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "orangecontrib.recommendation.optimizers.SGD",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "orangecontrib.recommendation.optimizers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "orangecontrib.recommendation.optimizers.Momentum",
"line_nu... |
33126411585 | from typing import Optional
import httpx
import structlog
from yarl import URL
from rssparser.api.models import Author
logger = structlog.getLogger(__name__)
class AuthorClient:
def __init__(self, url: URL) -> None:
self.url = URL(url)
def get_by_name(self, name, feed_id: int) -> Optional[Author]... | kbondar17/pocket-rss | rss-parser/rssparser/api/authors.py | authors.py | py | 1,201 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "structlog.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "yarl.URL",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "yarl.URL",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "httpx.get",
"line_number": 1... |
10523632784 | # -*- coding:utf-8 -*-
'''
@Description: QLineEdit相关功能重写
@Author: lamborghini1993
@Date: self.m_MinNum19-03-13 11:28:22
@UpdateDate: 2019-03-13 14:14:12
'''
from PyQt5.QtWidgets import QLineEdit
from PyQt5.QtCore import QSize
class CVariableLengthLineEdit(QLineEdit):
"""
可变长度的QLineEdit
"""
m_MinNum =... | lamborghini1993/pubcode | pubqt/lineedit.py | lineedit.py | py | 1,256 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QLineEdit",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QSize",
"line_number": 25,
"usage_type": "call"
}
] |
29291609371 | from collections import defaultdict
import random
DEBUG = 0
HERE = 1
name = "GermanyRoadud"
if HERE:
filename = f"raw_graphs/{name}.txt"
else:
filename = f"/lfs/usrhome/btech/ee19b106/graph_algorithms/raw_graphs/{name}.txt"
with open(filename) as f:
l = f.readlines()
# l = l[1:]
for i in range(len(l)):... | PrasannaIITM/Graph-Algorithms-Framework-In-SYCL | scripts/csr.py | csr.py | py | 1,262 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 29,
"usage_type": "call"
}
] |
18674437787 | import logging
import typing
from typing import Dict
import json
import aiohttp
from bs4 import BeautifulSoup
from yarl import URL
import time
import re
from http.cookies import SimpleCookie
from email.utils import parsedate
from datetime import datetime
from .constants import *
class UnauthorizedError(Exception):
... | vr-hunter/vwapi | __init__.py | __init__.py | py | 11,489 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "email.utils",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "yarl.URL"... |
24462626457 | from flask import Flask, request, jsonify
from flask_cors import CORS
import re
app = Flask(__name__)
CORS(app)
@app.route("/", methods=['GET'])
# `/?pos=<pos>&crs=<crs>`
# pos: the query position, as `x,y`
# crs: the crs of the query position
# output: a json document with map info for the specified position: `{res... | sourcepole/qwc2-server | mapInfo.py | mapInfo.py | py | 855 | python | en | code | 6 | github-code | 21 | [
{
"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",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
26327261650 | import tkinter as tk
import sched as sd
import time as tm
from .conf import W, H, BG_COLOR
from .board import Board
from .figure import Figure
class App:
def __init__(self):
self.window = tk.Tk()
self.window.title("Catch the cat")
self.scheduler = sd.scheduler(tm.time, tm.sleep)
... | szobin/catch_cat_lesson2 | core/app.py | app.py | py | 854 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.Tk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sched.scheduler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_numb... |
31467176458 | import scrapy
from dangdangwang.items import DangdangwangItem
import time
import re
class DangdangSpider(scrapy.Spider):
name = 'dangdang'
allowed_domains = ['dangdang.com']
start_urls = ['http://bang.dangdang.com/books/bestsellers']
page_next_id = 2
def parse(self, response):
for dd in re... | pipikai20/python | dangdangwang/dangdangwang/spiders/dangdang.py | dangdang.py | py | 2,882 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dangdangwang.items.DangdangwangItem",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.s... |
71870014134 | import wx
import wx.dataview
import logging
import requests
logger = logging.getLogger("ADVSEARCH")
class AdvSearchFrame(wx.Dialog):
def __init__(self, *args, **kwds):
# begin wxGlade: MyDialog.__init__
kwds["style"] = kwds.get("style", 0) | wx.DEFAULT_DIALOG_STYLE
wx.Dialog.__init__(se... | tywtyw2002/easyEda2Kicad | gui_adv_search.py | gui_adv_search.py | py | 5,222 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "wx.Dialog",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wx.DEFAULT_DIALOG_STYLE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "wx.Dialo... |
42885368433 | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('update/<int:id>', views.updatetask, name='update'),
path('delete/<int:id>', views.deletetask, name='delete'),
path('delete_all', views.deleteall, name='deleteall'),
]
| arshmohd23/todo | todo/urls.py | urls.py | py | 296 | python | en | code | 0 | github-code | 21 | [
{
"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": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
4389867884 | import cv2
import numpy as np
import pytesseract
# read image
img = cv2.imread('result.png')
ori = cv2.imread('0001.jpg')
# convert to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# threshold
thresh = cv2.threshold(gray,128,255,cv2.THRESH_BINARY)[1]
# get contours
result = img.copy()
contours = cv2.findCon... | MukulSingh105/Automatic-Form-Data-Extraction | boxes.py | boxes.py | py | 1,312 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numbe... |
73774829173 | from os import times
from flask import Flask
from worker.tasks import make_celery
from driver import request_router
flask_app = Flask(__name__)
flask_app.config.update(
CELERY_BROKER_URL='redis://localhost:6379',
CELERY_RESULT_BACKEND='redis://localhost:6379'
)
celery = make_celery(flask_app)
@celery.task()
... | diganthdr/encryptserver | server/src/celeryapp.py | celeryapp.py | py | 443 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "worker.tasks.make_celery",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "driver.request_router",
"line_number": 16,
"usage_type": "call"
}
] |
39059540237 | from nmigen import *
from nmigen.cli import main
from nmigen_boards import icebreaker
from util.quarter_wave import SinTable
from util.dac import *
import itertools
class Main(Elaboratable):
def __init__(self):
self.in_port = Signal(8)
self.out_port = Signal(signed(8))
def elaborate(self, pl... | TiltMeSenpai/nmigen_sketches | breathing.py | breathing.py | py | 1,579 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.count",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "util.quarter_wave.SinTable",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "nmigen_boards.icebreaker.ICEBreakerPlatform",
"line_number": 47,
"usage_type": "call"
},
{... |
28300812514 | from datetime import datetime
from typing import Any, Dict, List
from ai_api_client_sdk.helpers.datetime_parser import parse_datetime
from ai_api_client_sdk.models.artifact import Artifact
from ai_api_client_sdk.models.enactment import Enactment
from ai_api_client_sdk.models.status import Status
from ai_api_client_sdk... | M4RINH0/licital | data/.venv/lib/python3.10/site-packages/ai_api_client_sdk/models/execution.py | execution.py | py | 5,040 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ai_api_client_sdk.models.enactment.Enactment",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ai_api_client_sdk.models.status.Status",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "ai_api_client_sdk.models.target_status.TargetStatus",
"li... |
23305154337 | from __future__ import annotations
from typing import TYPE_CHECKING, Optional
from indi.message.const import State, SwitchState
if TYPE_CHECKING:
from indi.client.device import Device
from indi.client.elements import Element
from indi.client.vectors import Vector
class BaseEvent:
def __init__(
... | wlatanowicz/indipy | indi/client/events.py | events.py | py | 2,962 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "indi.client.device.Device",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.... |
1362055082 | #!/usr/bin/env python
import requests
from bs4 import BeautifulSoup
from headers_parser import headers_parser
from pprint import pprint
from pyhunter import PyHunter
import re
from time import sleep
from random import randint
import os
class Google:
def __init__(self):
self.host = 'https://www.google.com/search'... | shreateh/recon | google_class1.py | google_class1.py | py | 5,062 | python | en | code | null | github-code | 21 | [
{
"api_name": "requests.Session",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "headers_parser.headers_parser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "bs4.... |
20890142363 | #!/usr/bin/env python
import json
from huepy import *
import os
from os import path
import requests
import sys
import time
import hashlib
import csv
if "VTSCAN_API_KEY" in os.environ:
api_key = os.environ.get("VTSCAN_API_KEY") # export VTSCAN_API_KEY=YOURAPIKEY or pass it with "-k" flag
else:
ap... | BJTUpupil/VirusTotal | vtscan.py | vtscan.py | py | 5,570 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_n... |
8710015954 | import shelve
from main.models import Libro, Puntuacion
from main.forms import UserForm, BookForm
from django.shortcuts import render, get_object_or_404
from main.recommendations import transformPrefs, calculateSimilarItems, getRecommendations, getRecommendedItems, topMatches
from main.populate import populateDatabase... | Servesus/CosasAII | SR/main/views.py | views.py | py | 5,474 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "shelve.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "main.models.Puntuacion.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "main.models.Puntuacion.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
26910746945 | from sqlalchemy import Column, DateTime, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from datetime import datetime
Base = declarative_base()
class FeedbackModel(Base):
__tablename__ = "feedback"
id = Column(Integer, primary_key=True)
service_name = Column(String, nullable=False... | Loriaaa123/with_docker | models.py | models.py | py | 460 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 9,
"usage_type": "argument"
},
{
... |
6056543378 | """HTML components for displaying messages to the user in a banner format"""
from dash import html
def message_banner(category, message):
"""
Return a coronavirus dashboard-style changelog banner to be used to communicate to the user
when the dashboard was last updated.
See https://coronavirus.data.g... | communitiesuk/pkg_gov_uk_dashboards | gov_uk_dashboards/components/plotly/banners.py | banners.py | py | 952 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "dash.html.Div",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "dash.html.P",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dash.html",
"line_number": 13... |
12124134279 | from constant import EMPTY_ARRAY
from cosfft.cosseries import CosSeries
from instrument.plainvanillaoption import PlainVanillaOption
from nptyping import NDArray
import numpy as np
class VectorizeCosFft():
def __init__(self, cos_series: CosSeries) -> None:
self.__cos_series = cos_series
self.__str... | gfunk0704/deep_reinforcement_calibration | cosfft/vectorizecosfft.py | vectorizecosfft.py | py | 1,392 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cosfft.cosseries.CosSeries",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "constant.EMPTY_ARRAY",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "constant.EMPTY_ARRAY",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "c... |
9803113683 | import logging
import sqlite3
import sys
import threading
import time
logging.basicConfig(
level=logging.DEBUG,
format="%(asctime)s (%(threadName)-10s) %(message)s",
)
def writer(db_name, isolation_level_name, ready_event):
with sqlite3.connect(db_name, isolation_level=isolation_level_name) as conn:
... | tinylambda/keep | module_sqlite3/sqlite3_isolation_levels.py | sqlite3_isolation_levels.py | py | 1,962 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
30240649527 | import torch
def save_model(weights_file):
model = torch.hub.load('ultralytics/yolov5', 'custom', path=weights_file)
torch.save(model, './models/yolov5.pt')
if __name__ == '__main__':
save_model('./weights/best.pt')
print('Saved model with custom weights in ./weights/best.pt to ./models/yolov5.pt')
| mortenterhart/ros2-autonomous-driving | src/perception/save_yolov5_model.py | save_yolov5_model.py | py | 320 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.hub.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.save",
"line_number": 6,
"usage_type": "call"
}
] |
74949983411 | """
This script creates a new folder on the NAS and then converts yesterdays .wav recordings to .mp3.
If conversion is sucessful it then moves the file to the NAS server mounted as /mnt/asterisk.
It then updates the file name in the CDR to an mp3 extension and changes thepath. Upon processing ... | jkavenaugh/freepbx-cdr-to-mp3 | archive_asterisk.py | archive_asterisk.py | py | 5,958 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",... |
74514033331 | from simplecrypt import encrypt, decrypt
from pprint import pprint
from netmiko import ConnectHandler
import json
from time import time
import threading
def read_devices(device_filename):
# for reference the contents of the file is as follows
# 192.168.122.205, cisco-ios, IOU1
# 192.168.122.207, cisco-ios... | JDFSHU/Python-for-Network-Engineers | NetmikoScripts/netmikoSequential.py | netmikoSequential.py | py | 3,691 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "simplecrypt.decrypt",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "netmiko.ConnectHandler",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
33740874752 | # -*- coding: utf-8 -*-
"""Models for transactions."""
import datetime as dt
import uuid
import stripe
from sqlalchemy.dialects.postgresql import JSONB, UUID
from ceraon.database import Column, IDModel, db, reference_col, relationship
class Transaction(IDModel):
"""A transaction made by a user for a meal.
... | Rdbaker/Mealbound | ceraon/models/transactions.py | transactions.py | py | 5,178 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "ceraon.database.IDModel",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ceraon.database.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "ceraon.database.db.DateTime",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
37553183276 | import logging
import click
from wis2box import cli_helpers
from wis2box.env import API_CONFIG
from wis2box.handler import Handler
from wis2box.api.backend import load_backend
import wis2box.metadata.discovery as discovery_
from wis2box.topic_hierarchy import validate_and_load
from wis2box.util import walk_path, yaml... | alexandreleroux/wis2box | wis2box/api/__init__.py | __init__.py | py | 3,595 | python | en | code | null | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "wis2box.metadata.discovery.DiscoveryMetadata",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "wis2box.metadata.discovery",
"line_number": 27,
"usage_type": "name"
},
... |
28967265310 | # stdlib
import copy
import threading
import time
import traceback
# 3rd party
import bqplot as bq
import ipyparallel as ipp
from IPython.display import display, clear_output, update_display
import ipywidgets as ipw
import numpy as np
import pandas as pd
import qgrid
class ModelPlot(ipw.VBox):
def __init__(self,... | sparticlesteve/cori-intml-examples | hpo_widgets.py | hpo_widgets.py | py | 19,142 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "ipywidgets.VBox",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bqplot.LinearScale",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bqplot.LinearScale",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bqplot.Axi... |
13731134983 | """
DESCRIPTION:
Real-time barcode and QR code reading with OpenCV
DEPENDENCIES:
OpenCV
sudo apt-get install libzbar0
sudo pip install pyzbar
sudo pip install imutils
USE:
python scanner2.py
'q' to quit
"""
# import the necessary packages
from imutils.video import VideoStream
from pyzbar import pyzbar
import argparse... | ANTZ314/raspi | picam/qr_code/scanner3.py | scanner3.py | py | 3,006 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "imutils.video.VideoStream",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "imutils.... |
75033173491 | import sys
import pygame
import uuid
import numpy as np
import collections
import copy
from Sprite import *
from Keyboard import *
from Mouse import *
from constants import *
from pygame_util import *
class Screen:
def __init__(self, color, title="StreetCode Academy", show_mouse_pos=False):
pygame.init()
... | diwgan32/PyGameStreetcode | core/Screen.py | Screen.py | py | 4,258 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode... |
18347438521 | from dataclasses import dataclass
def input_shopping_item():
data = {
"name": input("Item Name: "),
"quantity": int(input("Quantity: ")),
"price": float(input("Price: ")),
"store": input("Store Name: ")
}
return data
@dataclass
class ShoppingItem:
name: str
quanti... | rickyg365/recipe_scraper | tui/models/shopping_item.py | shopping_item.py | py | 619 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 14,
"usage_type": "name"
}
] |
4075842666 | import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.module import Module
from torch.autograd import Variable
"""
This code is based on Thomas Kipf's repository.
https://github.com/ethanfetaya/NRI
"""
class FC(nn.Module):
"""One-layer fully-connec... | YuJungHeo/CompTransR | units/layers.py | layers.py | py | 7,167 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
75197651253 | from itertools import combinations
def solution(needs, r):
answer = 0
combs = combinations(range(0, len(needs[0])), r)
need_cnt_arr = []
for need in needs:
need_cnt_arr.append(sum(need));
for comb in combs:
temp_ans = 0
for i in range(len(needs)):
need_cnt = need... | keeeeeey/baekjoon_algorithm | 시험/이스트소프트2.py | 이스트소프트2.py | py | 552 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.combinations",
"line_number": 5,
"usage_type": "call"
}
] |
44650670261 | #importing all modules
import pygame#pip install pygame
from pygame.locals import *
import random
from pygame import mixer
#initiating modules needed
pygame.init()
mixer.init()
pygame.font.init()
#variables
s_width = 900
s_height = 700
play_width = 300 # meaning 300 // 10 = 30 width per block
play_h... | AvanindraC/Alteriss | Game.py | Game.py | py | 11,259 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pygame.font.init",
"line_... |
9245118914 | from collections import OrderedDict
import hashlib
class Libriary:
def __init__(self, init_str):
self.lib = dict()
for i in range (init_str.__len__() // 2):
if (not init_str[i * 2] in self.lib):
self.lib.update({init_str[i*2]: int(init_str[i*2+1])})
else:
... | Tka4uk-Andrei/ifmoPython | part_1/week_4/lab9_week_4.py | lab9_week_4.py | py | 1,600 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "hashlib.md5",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "hashlib.sha224",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_nu... |
17822509231 | #!/usr/bin/env python3
import hashlib
import argparse
import itertools
import string
def get_args():
parser = argparse.ArgumentParser(description='Looks for a hash that ends/begins with a given pattern.')
parser.add_argument('--algorithm', type=str, required=True, help='Algorithm to use (md5, sha1, sha256, ...... | jamarir/magic_hash_finder | magic_hash_finder.py | magic_hash_finder.py | py | 2,429 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "hashlib.sha224",
... |
29653328460 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('public', '0006_order_checkout'),
]
operations = [
migrations.AddField(
model_name='checkout',
name='... | NobleSF/Cobra | apps/public/migrations/0007_checkout_currency_string.py | 0007_checkout_currency_string.py | py | 456 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
40756849362 | from requests.auth import HTTPDigestAuth
import requests
from pprint import pprint
from pymongo import MongoClient
import logging
import configparser
logging.basicConfig(
level=logging.INFO,
#level=logging.WARNING,
format="[%(asctime)s] %(name)s:%(levelname)s: %(message)s",
)
class ExtractOPS():
def... | yyztc/itop | extract_ops.py | extract_ops.py | py | 2,970 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pymongo... |
22925791795 | # encoding: utf-8
#
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http:# mozilla.org/MPL/2.0/.
#
# Contact: Kyle Lahnakoski (kyle@lahnakoski.com)
#
from __future__ import absolute_import, divisi... | mozilla/jx-sqlite | jx_sqlite/expressions/leaves_op.py | leaves_op.py | py | 1,783 | python | en | code | 35 | github-code | 21 | [
{
"api_name": "jx_base.expressions.LeavesOp",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "jx_base.language.is_op",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "jx_sqlite.expressions.variable.Variable",
"line_number": 24,
"usage_type": "argument"... |
34003157994 | from io import BytesIO
import plotly
import PIL
from PIL import Image
from PIL import Image, ImageFile, ImageFont, ImageDraw
ImageFile.LOAD_TRUNCATED_IMAGES = True
import plotly.graph_objects as go
import plotly.figure_factory as ff
from plotly.subplots import make_subplots
from reportlab import platypus
from reportlab... | Nikita-Pardeshi/Financial-Analytics | coverpage_2.py | coverpage_2.py | py | 51,456 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "newsapi.NewsApiClient",
"line_number": 46,
"usage_type": "call"
},
{
"api_na... |
25040645490 | from pathlib import Path
test_video_path = Path(__file__).parent / "test.mp4"
out_dir = Path(__file__).parent / "out"
def test_post_video(client):
response = client.post("/api/video", data={
"video_file": test_video_path.open('rb'),
})
assert response.status_code == 200
assert response.content_type =... | dharness/yogoflow | server/tests/test_video_routes.py | test_video_routes.py | py | 504 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
}
] |
10201865656 | #!/usr/bin/env python3.10
import os
import argparse
parser = argparse.ArgumentParser(
prog="gbooks-dl",
description=
"A command-line program for downloading online book previews to your local computer."
)
parser.add_argument(
'URL',
nargs='?',
help="A URL containing a preview-able book to be d... | moosejaw/gbooks-dl | gbooks_dl/__main__.py | __main__.py | py | 665 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gbooks_dl.pipeline.pipeline",
"line_number": 27,
"usage_type": "call"
}
] |
24438413592 | from typing import List
from sqlalchemy.orm import Session
from recording.recording_worker import RecordingConfiguration, RecordingWorker
import os
from settings import RECORDING_FOLDER
class RecordingRunner(object):
def __init__(self, session: Session):
self.__session = session
self.__workers: ... | AI-Lab-Makerere/COVID-19-ASR | radio-streaming/recording/recording_runner.py | recording_runner.py | py | 1,706 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "recording.recording_worker.RecordingWorker",
"line_number": 13,
"usage_type": "name"
},
{
"api... |
74991527413 |
import pytest
import import_path
from main import (
process
)
test_cases = [
(1, 2, 3, 4, 'impossible'),
(2, 2, 3, 4, 'impossible'),
(1, 1, 1, 0, 'possible'),
(1, 1, 1, 1, 'impossible'),
(100, 1, 1, 1, 'possible'),
(100, 1, 1, 2, 'possible'),
(100, 100, 1, 1, 'possible')
]
@pytest.... | jehalladay/AdvPy-jehalladay | final/eating_out/tests/test_main.py | test_main.py | py | 498 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "main.process",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 21,
"usage_type": "attribute"
}
] |
41699288343 | #Import modules
import os
import pandas as pd
import numpy as np
import tensorflow as tf
from pandas import DatetimeIndex
import dask
import scipy
import time
import glob
from functools import partial
from abc import ABCMeta, abstractmethod
import plottingTools
import kalmanFilter
import linearModel
... | mChataign/smileCompletion | Code/extendedKalmanFilter.py | extendedKalmanFilter.py | py | 8,983 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "kalmanFilter.kalmanFilter",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "pandas.concat",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 93,
"usage_type": "call"
},
{
... |
29217077715 | from django.urls import path
from . import views
urlpatterns = [
path('', views.store, name='store'),
path('shop/', views.catalog, name='catalog'),
path('blog/', views.blog, name='blog'),
path('about/', views.about, name='about'),
path('contact/', views.contact, name='contact'),
path('cart/', v... | Flomasta/dress-shop | store/urls.py | urls.py | py | 752 | python | en | code | 0 | github-code | 21 | [
{
"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",
... |
9798780093 | import logging
import sys
import attr
logging.basicConfig(stream=sys.stderr, level=logging.INFO)
def on_setter(instance, attribute, new_value):
if new_value < 0:
raise ValueError("value should be > 0")
@attr.s
class C:
x = attr.ib(on_setattr=on_setter)
if __name__ == "__main__":
c = C(-10)
... | tinylambda/keep | module_attrs/attrs_ib_on_setter.py | attrs_ib_on_setter.py | py | 435 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "attr.ib",
"lin... |
41138119203 | from django.db import migrations
def create_data(apps, schema_editor):
Welearner = apps.get_model('welearner', 'Welearner')
Welearner(first_name="Welearner 001", last_name="Welearner 001", email="customer001@email.com", phone="00000000", address="Welearner 000 Address", description= "Welearner 001 description"... | RudeSoul/Learn-React-and-django | welearner/migrations/0002_welearner.py | 0002_welearner.py | py | 521 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RunPython",
"line_number": 12,
"usage_type": "call"
},
{
... |
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