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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33654948642 | import unittest
from onnx import defs, helper
from onnx.onnx_pb2 import NodeProto
class TestRelu(unittest.TestCase):
def test_relu(self):
self.assertTrue(defs.has('Relu'))
node_def = helper.make_node(
'Relu', ['X'], ['Y'])
if __name__ == '__main__':
unittest.main()
| tianyaoZhang/myONNX | onnx/test/relu_test.py | relu_test.py | py | 307 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "onnx.defs.has",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "onnx.defs",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "onnx.helper.make_node",... |
73527120745 | '''
candidate generation: writes a pickle file of candidates
'''
import sys
import nltk
import numpy as np
from ncbi_normalization import load, sample
from ncbi_normalization.parse_MEDIC_dictionary import concept_obj
from normalize import dump_data, load_data, load_mentions
from gensim.models import KeyedVectors
... | fshdnc/nor-bert | src/candidate_generation.py | candidate_generation.py | py | 6,793 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gensim.models.KeyedVectors.load_word2vec_format",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "gensim.models.KeyedVectors",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "numpy.random.uniform",
"line_number": 39,
"usage_type": "call"... |
18252621901 | from typing import List
class Solution:
def minStartValue1(self, nums: List[int]) -> int:
n = len(nums)
m = 100
left = 1
right = m * n + 1
while left < right:
middle = (left + right) // 2
total = middle
is_valid = True
for num... | hujienan/Jet-Algorithm | leetcode/1413. Minimum Value to Get Positive Step by Step Sum/index.py | index.py | py | 951 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
}
] |
72300794345 | import sys
from osgeo import gdal, osr
class GDALUtilities:
"""
This class has the following capabilities
1. Get raster info
2. Read image band as an array
3. Reproject a raster
"""
def __init__(self, path):
self.path = path
def get_raster_info(self):
self.datas... | manojappalla/RSGIS-Tutorials | gdal_tutorials/gdal_utilities.py | gdal_utilities.py | py | 2,135 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "osgeo.gdal.Open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "osgeo.gdal.GA_ReadOnly",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "osgeo.gdal.Ope... |
20761353624 | import math
import numpy as np
import statistics
import random
import time
import matplotlib.pyplot as plt
h = 40
limit_number_of_taken_values = 200
nb_of_initial_values = 100
nb_of_Dthet = 100
Dthets = [(i * 1 / nb_of_Dthet) for i in range(nb_of_Dthet)] # thet step for ARL function
# sigs = [(0.5 + i/nb_of_sensor... | gwenmaudet/PhD_main | detection_step_signal/GLR.py | GLR.py | py | 17,337 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"... |
24390096374 | from itertools import chain
from . import builder
from .. import options as opts, safe_str, shell
from .common import Builder, choose_builder, SimpleBuildCommand
from ..file_types import HeaderFile, SourceFile
from ..iterutils import iterate
from ..languages import known_langs
from ..path import Path
from ..versioning... | jimporter/bfg9000 | bfg9000/tools/qt.py | qt.py | py | 7,250 | python | en | code | 73 | github-code | 36 | [
{
"api_name": "languages.known_langs.make",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "languages.known_langs",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "languages.known_langs.make",
"line_number": 18,
"usage_type": "call"
},
{
"api_n... |
38164677251 | import math
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import gridspec
from scipy.special import factorial
from plot.plot_data import plot_matrixImage
def normalize(X):
f_min, f_max = X.min(), X.max()
return (X - f_min) / (f_max - f_min)
def gabor_kernel_2(frequency, sigma_x, sigma... | franzigeiger/training_reductions | utils/gabors.py | gabors.py | py | 5,020 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "numpy.floor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.mgrid",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number":... |
70553069544 | import os, datetime, time
import torch
import torch.optim as optim
import numpy as np
import math
import cv2
import tqdm
import config
import constants
from utils.trainer_utils import (
AverageMeter,
get_HHMMSS_from_second,
save_checkpoint,
save_all_img,
save_joints3d_img,
save_mesh,
save... | JunukCha/SSPSE | trainer.py | trainer.py | py | 45,916 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 131,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strftime",
"line_number": 132,
"usage_type": "call"
},
{
"api_na... |
22313884437 | from django.core.management.base import BaseCommand
from import_data.models import OuraMember, FitbitMember, GoogleFitMember
from retrospective.tasks import (
update_fitbit_data,
update_oura_data,
update_googlefit_data,
)
import time
import requests
class Command(BaseCommand):
help = "Updates all data... | OpenHumans/quantified-flu | import_data/management/commands/update_data_imports.py | update_data_imports.py | py | 1,148 | python | en | code | 24 | github-code | 36 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "import_data.models.OuraMember.objects.all",
"line_number": 19,
"usage_type": "call"
... |
11514166585 | from hashlib import sha1
from json import dump
from os import makedirs
apps = {
'apps': [
'club.postdata.covid19cuba',
'com.codestrange.www.cuba_weather',
'com.cubanopensource.todo',
]
}
def main():
result = {}
makedirs('api', exist_ok=True)
with open(f'api/apps.json', mo... | leynier/cubaopenplay.github.io | app/main.py | main.py | py | 725 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "os.makedirs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 25,... |
5881104834 | import array
import binascii
import configparser
import datetime
import io
import logging
import os
import signal
import sys
import time
try:
import serial
except ImportError:
pass
ModulSerialMissing = True
################################################################################
# Constants
BUILDVERSION ... | nasrudin2468/pye-motion | pye-motion.py | pye-motion.py | py | 4,158 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "sys.exit",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "signal.signal",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "lib.config.read",
"line... |
38660134742 | import logging
import sys
import click
import requests
from bs4 import BeautifulSoup
from telegram.ext import CommandHandler, Filters, MessageHandler, Updater
from tinydb import Query, TinyDB
db = TinyDB("db.json")
Job = Query()
TELEGRAM_BOT_TOKEN = None
class JobExistsException(Exception):
pass
def parse_re... | NiklasMM/ebk-bot | bot.py | bot.py | py | 5,611 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tinydb.TinyDB",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tinydb.Query",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line... |
32716485591 | """ Image editing class for head to bot, time-trail, obstacle where
there is only single agent
"""
import datetime
import logging
import rospy
import cv2
from markov.log_handler.logger import Logger
from markov.utils import get_racecar_idx
from mp4_saving import utils
from mp4_saving.constants import (RaceCarColorToRG... | aws-deepracer-community/deepracer-simapp | bundle/src/deepracer_simulation_environment/scripts/mp4_saving/single_agent_image_editing.py | single_agent_image_editing.py | py | 13,347 | python | en | code | 79 | github-code | 36 | [
{
"api_name": "markov.log_handler.logger.Logger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mp4_saving.image_editing_interface.ImageEditingInterface",
"line_number": 22,
"usage_t... |
18526754583 | import logging
import tqdm
from multiprocessing import Pool
from dsrt.config.defaults import DataConfig
class Padder:
def __init__(self, properties, parallel=True, config=DataConfig()):
self.properties = properties
self.config = config
self.parallel = parallel
self.max_ule... | sbarham/dsrt | dsrt/data/transform/Padder.py | Padder.py | py | 2,765 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "dsrt.config.defaults.DataConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": ... |
29055282773 | import io
import picamera
import cv2
import numpy
import serial
import time
import RPi.GPIO as gp
####### Servo Motor Contol #######
gp.setmode(gp.BOARD)
gp.setup(11, gp.OUT)
pwm=gp.PWM(11, 50)
pwm.start(3)
port = '/dev/ttyACM0'
Face = 0
turn=1
while(turn):
i=3
while(i):
#Create a memory stream... | FarhatBuet14/Rescue-BOT | Codes/main.py | main.py | py | 3,571 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"l... |
2811075086 | from torch import optim
from torch.distributions import Categorical
import importlib
class Model():
def __init__(self, config, modelParam, env):
self.update_counter = 0
if modelParam['cuda']['use_cuda']:
self.device = f"cuda:{modelParam['cuda']['device_idx']}"
else:
... | ivartz/IN9400_exercises | week14/exercise/policy_learning/utils/model.py | model.py | py | 1,937 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "importlib.import_module",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "torch.optim.SGD"... |
74207456423 | import argparse
import logging
log_debug = logging.getLogger("debugLog")
_available_commands = ["list"]
def get_parser(parent=None):
# Anomaly commands
conf_file_parser = argparse.ArgumentParser(add_help=False)
conf_file_parser.add_argument('--config_file', '--config_path', help='Path to config file', ... | Ydjeen/openstack_anomaly_injection | openstack_anomaly_injection/anomaly_injection/node_control/config/argparser.py | argparser.py | py | 2,668 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argp... |
7305309200 | import serial
import serial
from time import sleep
import threading
import time
# sudo chmod 666 /dev/ttyACM0
device_port = "/dev/ttyACM0"
from multiprocessing.pool import ThreadPool
import settings
class uwb_data(threading.Thread):
def __init__(self,file_name,device_port):
threading.Thread.__init__(self)
... | CoRotProject/FOF-API | Agents/UWB_agent/uwb_data.py | uwb_data.py | py | 1,567 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": ... |
35864084249 | from __future__ import print_function
import boto3
#This module creates a table with the table constraints as well
dynamodb = boto3.resource('dynamodb', region_name='us-west-2', endpoint_url='http://localhost:8000', aws_access_key_id='Secret', aws_secret_access_key='Secret')
table = dynamodb.create_table(
Ta... | Codexdrip/DynamoDB-Testing | MoviesCreateTable.py | MoviesCreateTable.py | py | 894 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
}
] |
7494741687 | """Train a model on Treebank"""
import random
import json
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.optim.lr_scheduler as sched
import torch.utils.data as data
import utils
from collections import OrderedDict
from tqdm import tqdm
fr... | Vincent25-Li/Treebank | train.py | train.py | py | 7,389 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "args.save_dir",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "utils.get_save_dir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "args.name",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "utils.get_logger... |
2515032447 | import sys
import seaborn as sns
import pandas as pd
import numpy as np
import scipy.stats
from collections import defaultdict
from matplotlib import pyplot as plt
from sklearn.metrics import r2_score, mean_absolute_error
#plt.style.use('seaborn-whitegrid')
#sns.set_theme()
#Function for creating a dictionary from the... | thek71/epiScripts | calculateCorrelationDensity.py | calculateCorrelationDensity.py | py | 3,000 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
32624805079 | from torch import nn
import torch
import numpy as np
import os
class Encoder(nn.Module):
def __init__(self, latent_dims, qc_level):
super(Encoder, self).__init__()
dims = []
if qc_level == 1:
dims = [17, 24, 8, latent_dims]
elif qc_level == 2:
dims = [22, 36, 12, latent_dims]
elif qc... | chiyang/tmasque | tmasque/QualityEncoder.py | QualityEncoder.py | py | 8,839 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
21892894147 | from django.urls import path
from accounts import views
app_name='accounts'
urlpatterns=[
path('register',views.register,name='register'),
path('login',views.login,name='login'),
path('logout',views.logout,name='logout'),
path('page1',views.page1,name='page1'),
path('r^create_view/',views.create_vie... | amalarosebenny/farming | collegeproject/accounts/urls.py | urls.py | py | 533 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "accounts.views.register",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "accounts.views",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.urls... |
20886565147 | #!/usr/bin/env python
"""
Identifies groups of medium order (512, 1152, 1536, 1920, 2187, 6561, 15625, 16807, 78125, 161051)
by connecting to devmirror.lmfdb.xyz and using the stored hashes there.
Usage:
Either provide an input file with hashes to identify, one per line, each of the form N.i
./identify.py -i INPUT_F... | roed314/FiniteGroups | Code/identify.py | identify.py | py | 4,140 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sys.stdin.read",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "collections.def... |
72164631784 | # -*- encoding: utf-8 -*-
# External imports
import requests
import json
import datetime
# ---------------------------------------- Ne pas mettre là
# # Load settings
# with open('settings.json', encoding="utf-8") as f:
# settings = json.load(f)
# # Get the original file
# API_KEY = settings["API_KEY"]
# TOKEN =... | Alban-Peyrat/Trello_API_interface | Trello_API_cards.py | Trello_API_cards.py | py | 3,799 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "requests.request",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "request... |
22377866084 | from django import forms
from django.db import transaction
from .models import CustomUser
from django.contrib.auth.forms import UserCreationForm,UserChangeForm
class CustomerSignUpForm(UserCreationForm):
class Meta:
model=CustomUser
fields = ('username', 'name', 'email', 'number', 'address')
@... | aditrisinha/Aagman | accounts/forms.py | forms.py | py | 807 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.CustomUser",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.transaction.atomic",
"line_number": 11,
"usage_type": "attribute"
... |
74361688425 | from datetime import datetime
import logging
from django.contrib.auth import authenticate
from django.core import serializers
from django.http import HttpResponse, HttpResponseBadRequest
from django.shortcuts import get_object_or_404
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth import l... | lepilepi/eturtle | server/api/views.py | views.py | py | 5,950 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "django.http.HttpResponseBadRequest",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseBadRequest",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 24,
"usage_type":... |
39056592319 | from numpy import array,zeros
from matplotlib import pyplot as plt
num='0016'
path='/Users/dmelgar/Slip_inv/Amatrice_3Dfitsgeol_final1/output/inverse_models/models/_previous/'
root1='bigkahuna_vrtest3win_vr'
root2='.'+num+'.log'
vr=array([1.6,1.8,2.0,2.2,2.4,2.6])
vr_static=zeros(len(vr))
vr_insar=zeros(len(vr))
vr_v... | Ogweno/mylife | amatrice/plot_vr_test.py | plot_vr_test.py | py | 935 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 1... |
73818234985 | import requests
from bs4 import BeautifulSoup
from database import DataBase
from log import log
from scrape import Scrape
class Flipkart(Scrape):
def formatData(self, soupText):
"""
This function extracts specific information from the `soupText` object and returns it in a formatted manner.
... | ujitkumar1/ramranger | src/flipkart_scrape.py | flipkart_scrape.py | py | 3,338 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrape.Scrape",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "database.DataBase",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "log.log.info",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "log.log",
"line_numbe... |
22372717524 | import os
import sys
import time
import glob
import numpy as np
import torch
import utils
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.nn.functional as F
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
from torch.autograd import Variable
from model_searc... | importZL/LFM | NAS/darts-lfm/train_search_lfm.py | train_search_lfm.py | py | 15,995 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 81,
"usage_type": "call"
},
{
"api_n... |
2026891662 | import argparse
import torch
from torch.autograd import Variable
from network_prep import create_loaders, prep_model, create_classifier
def get_input_args():
parser = argparse.ArgumentParser(description='Get NN arguments')
parser.add_argument('data_dir', type=str, help='mandatory data directory')
pars... | hikaruendo/udacity | ai programming with python1/train.py | train.py | py | 6,086 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.... |
24205678140 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 26 13:21:56 2019
@author: nilose
"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import random
from scipy import stats
import scipy.integrate as integrate
def gauss(x,mu,sigma):
return (1/(np.sqrt(2*np.pi)*sigma))*... | NataliaDelCoco/FilamentAnalysis | KDE_RS_V2.py | KDE_RS_V2.py | py | 9,660 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.sqrt",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 54,
... |
36808295769 | import copy
from typing import Tuple, Union
from numbers import Number
import torchio as tio
from torchio.transforms.augmentation import RandomTransform
import torch
import numpy as np
class ReconstructMeanDWI(RandomTransform):
def __init__(
self,
full_dwi_image_name: str = "full_dwi",
... | efirdc/Segmentation-Pipeline | segmentation_pipeline/transforms/reconstruct_mean_dwi.py | reconstruct_mean_dwi.py | py | 6,434 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torchio.transforms.augmentation.RandomTransform",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 17,
"usage_type": "name"
},
{
"api_nam... |
34773386089 | from flask import Flask, render_template
from bs4 import BeautifulSoup
import requests, json
def scrapCars():
source = requests.get('https://www.izmostock.com/car-stock-photos-by-brand').text
soup = BeautifulSoup(source, 'lxml')
my_table = soup.find('div', {'id': 'page-content'})
links = my_tab... | tech387-academy-python/PythonAppDemo | webscraper.py | webscraper.py | py | 537 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 21,
"usage_type": "call"
}
] |
4489955191 | """
Name : test_addmember.py
Author : Tiffany
Time : 2022/8/1 19:02
DESC:
"""
import time
import yaml
from faker import Faker
from selenium import webdriver
from selenium.common import StaleElementReferenceException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_condition... | TiffanyWang1108/web_camp | prepare/test_case/test_addmember.py | test_addmember.py | py | 3,698 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "faker.Faker",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "yaml.safe_lo... |
39060387909 | from numpy import arange,log,exp,r_
from matplotlib import pyplot as plt
from scipy.special import gamma
import Cua2008
from numpy import fft,sin,pi
from numpy.random import normal
duration=60
hf_dt=0.01
mean=0.0
std=1.0
num_samples = int(duration/hf_dt)
t=arange(0,duration,hf_dt)
noise = normal(mean, std, size=num_sa... | Ogweno/mylife | misc/windowing_test.py | windowing_test.py | py | 1,076 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.arange",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_numbe... |
33453047943 | from __future__ import print_function
import socket
import sys
import os
import re
import logging
import datetime
"""
FTPClient object requires:
- HOST (IP address or domain)
- PORT (Integer value between 0-99999)
- COMMANDS (List of Strings: LIST|PUT|GET followed by filename)
CTRL+C to exit client
"""
EXAMPLE_INPU... | denBot/clientserver-ftp-sockets-demo | src/client.py | client.py | py | 10,207 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",... |
39883705611 | import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
h, k_up1, k_up2 = np.loadtxt('./Reactions/Kup.dat',skiprows=3,usecols=(1,5799+1,5800+1),unpack=True)
h *= 1e-5
k_up = k_up1 + k_up2
plt.xscale('log')
plt.plot(k_up,h,'k-')
plt.savefig('./N2O-rates.pdf',bbox_inches='tight')
| aheays/spectr_examples | argo/data/early_earth/out/plot-k.py | plot-k.py | py | 320 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xscale",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
18550396896 | from django.http import HttpResponse
from django.shortcuts import render
def index(request):
#params = {'name':'Tarbi'}
return render(request,"index.html")
def analyze(request):
#Get the text
djtext = request.POST.get('text','default')
#Operations
removepunc = request.POST.get('removepunc','... | Bibhash7/Textlyzer | mysite/views.py | views.py | py | 2,508 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 69,
"usage_type": "call"
},
{
"api_name"... |
39666743662 | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 14 20:18:14 2017
@author: user
"""
import csv
import numpy as np
from gensim.models import word2vec
content_POS = list(np.load('all_content_POS.npy'))
"""取出n,a,d,v詞性的詞"""
sentiment_POS = []
sentiment_content = []
ADNV = [1,3,7,13]
for sentence in content... | Maomaomaoing/Sacasm-Detection | 2.word2vector_pre.py | 2.word2vector_pre.py | py | 2,254 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONE",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "gensim.models.word2vec.Text... |
72284442024 | import kth_native as nat
import sys
import time
import asyncio
import kth
# def fetch_last_height_async(chain):
# loop = asyncio.get_event_loop()
# fut = loop.create_future()
# nat.chain_fetch_last_height(chain, lambda err, h: fut.set_result((err, h)))
# return fut
def generic_async_1(func, *args):
... | k-nuth/py-api | kth/chain/chain.py | chain.py | py | 14,093 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "... |
5491251302 | import sys
import os
sys.path.append(os.path.abspath('.'))
import torch
import utils as ut
from train import *
from dataset import load_train_data, load_test_data
import constants
def main(config):
# Fixed random number seed
torch.manual_seed(config.seed)
torch.cuda.manual_seed_all(config.seed)
# Ini... | daoduyhungkaistgit/SRGAN | src/main.py | main.py | py | 3,641 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
18482571232 | import math
import torch.nn as nn
class HRNET_NECK(nn.Module):
def __init__(self, in_channels, feature_size=256):
super(HRNET_NECK, self).__init__()
C2_size, C3_size, C4_size, C5_size = in_channels
# P2
self.P2_1 = nn.Conv2d(C2_size, feature_size, kernel_size=1, stride=1, padding=... | TWSFar/FCOS | models/necks/hrnet_neck.py | hrnet_neck.py | py | 2,155 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
30569760677 | from typing import List, Tuple
def create_adjacent_list(edges):
adjacent_list = dict()
for edge in edges:
if adjacent_list.get(edge[0]):
adjacent_list[edge[0]].append(edge[1])
else:
adjacent_list[edge[0]] = [edge[1]]
return adjacent_list
def solution(n: int, m: in... | fenixguard/yandex_algorithms | sprint_6/B.exchange_edges_list_to_adjacent_list.py | B.exchange_edges_list_to_adjacent_list.py | py | 935 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 14,
"usage_type": "name"
}
] |
8860920055 | from collections import defaultdict
import Policy as policy
import random
import numpy as np
import matplotlib.pyplot as plt
# import pytorch as torch
class Agent:
def __init__(self, env) -> None:
self.env = env
# replay_buffer = {(state, action) : (state_, reward)}
self.repla... | TheGoldenChicken/robust-rl | rl/agent.py | agent.py | py | 4,660 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 36,
"usage_type": "call"
},
{
"api_name"... |
25163328807 | import operator
import pandas as pd
from easul.action import ResultStoreAction
from easul.algorithm import StoredAlgorithm
from easul.algorithm.factor import OperatorFactor
from easul.data import DataSchema, DFDataInput
from easul.step import VisualStep
from easul.visual import Visual
from easul.visual.element import... | rcfgroup/easul | easul/tests/example.py | example.py | py | 21,533 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "easul.algorithm.ClassifierAlgorithm",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "skle... |
7341734490 | import sys
import os
import ctypes
from ctypes import (
c_double,
c_int,
c_float,
c_char_p,
c_int32,
c_uint32,
c_void_p,
c_bool,
POINTER,
_Pointer, # type: ignore
Structure,
Array,
c_uint8,
c_size_t,
)
import pathlib
from typing import List, Union
# Load the ... | mengbingrock/shepherd | shepherd/llama2c_py/llama2c_py.py | llama2c_py.py | py | 2,276 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.platform.startswith",
... |
31418095220 | from Word2Vec.Word2VecGenerator import Word2VecGenerator
import glob
from JsonParse.JsonParser import JsonParser
import json as Json
class TrainingComponentGenerator:
__largest_n_words = 0
__astNode2Vec_size = 0
__number_of_vector_code2vec = 0
def __init__(self, astNode2Vec_size, number_of_vector_cod... | ZzillLongLee/TsGen | TrainingDataGenerator/TrainingComponentGenerator.py | TrainingComponentGenerator.py | py | 3,300 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "JsonParse.JsonParser.JsonParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "Word2Vec.Word2Ve... |
23497341801 | ################ Henri Lahousse ################
# voice assistant
# 05/31/2022
# libraries
import struct
import pyaudio
import pvporcupine # for wakeword
import pvrhino # for situations
porcupine = None
pa = None
audio_stream = None
rhino = None
# documentation picovoice... | lahousse/ONWARD | software/voice-assistant/voice-assis.py | voice-assis.py | py | 3,324 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pvporcupine.create",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pvrhino.create",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pyaudio.paInt16",
... |
26336618129 | import datetime
import smtplib
import time
import requests
import api_keys
MY_LAT = 51.53118881973776
MY_LONG = -0.08949588609011068
response = requests.get(url="http://api.open-notify.org/iss-now.json")
data = response.json()
longitude = data["iss_position"]["longitude"]
latitude = data["iss_position"]["la... | Zoom30/100-python | Day 33/Day 33.py | Day 33.py | py | 1,385 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
70387249063 | from aplication.models import historical_record
from aplication.dto.dto_record import dto_record
import datetime as dt
def register(_record:dto_record):
historical = historical_record()
historical.registration_date = dt.date.today()
historical.registration_time = dt.datetime.now().strftime('%H:%M:%... | GustavoRosario/pass | pj/aplication/controles/record.py | record.py | py | 414 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aplication.dto.dto_record.dto_record",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "aplication.models.historical_record",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 7,
"usage_type": "call"
},
... |
31329677612 | import requests
from requests import HTTPError
import yaml
import json
import os
def load_config():
config_path = 'api_config.yaml'
with open(os.path.join(os.getcwd(), config_path), mode='r') as yaml_file:
config = yaml.safe_load(yaml_file)
return config
def auth():
conf = load_config()['... | daniiche/DE | hmwrk4/airflow/dags/api_handle_airflow.py | api_handle_airflow.py | py | 1,987 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number... |
496206437 | import os
import pytest
from dagster_aws.emr import EmrJobRunner, emr_pyspark_resource
from dagster_pyspark import pyspark_resource, pyspark_solid
from moto import mock_emr
from dagster import (
DagsterInvalidDefinitionError,
ModeDefinition,
RunConfig,
execute_pipeline,
pipeline,
)
from dagster.se... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-aws/dagster_aws_tests/emr_tests/test_pyspark.py | test_pyspark.py | py | 5,158 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "dagster_pyspark.pyspark_solid",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "dagster_pyspark.pyspark_solid",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "dagster.pipeline",
"line_number": 37,
"usage_type": "call"
},
{
"api_... |
5232319809 | from openpyxl import Workbook
wb = Workbook()
ws = wb.active
# [현재까지 작성된 최종 성적 데이터]
data = [["학번", "출석", "퀴즈1", "퀴즈2", "중간고사", "기말고사", "프로젝트"],
[1,10,8,5,14,26,12],
[2,7,3,7,15,24,18],
[3,9,5,8,8,12,4],
[4,7,8,7,17,21,18],
[5,7,8,7,16,25,15],
[6,3,5,8,8,17,0],
[7,4,9,10,16,27,18],
[8,6,6,6,15,19,17],
[... | OctoHoon/PythonStudy_rpa | rpa_basic/1_excel/17_quiz.py | 17_quiz.py | py | 1,382 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 3,
"usage_type": "call"
}
] |
12177872909 | import requests
import urllib.parse
main_api = "https://www.mapquestapi.com/directions/v2/route?"
key = "p0Modq3JoAtVS6BXK5P5CinXWhJNUQwI"
while True:
orig = input("Starting Location: ")
dest = input("Destination: ")
url = main_api + urllib.parse.urlencode({
"key" : key,
"from" : orig,
... | JerickoDeGuzman/MapQuest-Feature-Enhancement | tempdir/referenceFiles/mapquest_parse-json_3.py | mapquest_parse-json_3.py | py | 561 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.parse.parse.urlencode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "req... |
11867021952 | # -----------------------------------------------------------------------------
# main.py
#
# Hung-Ruey Chen 109971346
# -----------------------------------------------------------------------------
import sys, os
import ply.lex as lex
import ply.yacc as yacc
from token_def import *
# Build the lexer
def main():
... | vbigmouse/CSE307 | HW5/main.py | main.py | py | 949 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.devnull",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ply.lex.lex",
"line... |
75263396265 | import requests
from urllib.parse import urlparse
import concurrent.futures
# Extract domain from a URL
def extract_domain(url):
return urlparse(url).netloc
# Fetch subdomains from crt.sh
def get_subdomains_from_crtsh(domain):
try:
response = requests.get(f"https://crt.sh/?q=%.{domain}&output=json")
... | RepoRascal/test | run.py | run.py | py | 1,650 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.parse.urlparse",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.RequestException",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "conc... |
22644746365 | import requests
import time
from bs4 import BeautifulSoup as bs
import re
import webbrowser
sizes = [7, 9.5, 11]
new_arrivals_page_url = 'https://www.theclosetinc.com/collections/new-arrivals'
base_url = 'https://www.theclosetinc.com'
post_url = 'https://www.theclosetinc.com/cart/add.js'
keywords = ['yeezy', 'inertia'... | athithianr/deadstock-bot | bots/theclosetinc_bot.py | theclosetinc_bot.py | py | 1,681 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line... |
6411274184 | import json
from bitbnspy import bitbns
# from bitbnspy import bitbns
import config
key = config.apiKey
secretKey = config.secret
bitbnsObj = bitbns(key, secretKey)
# print('APIstatus: =', bitbnsObj.getApiUsageStatus)
# getPairTicker = bitbnsObj.getTickerApi('DOGE')
# print(' PairTicker : ', getPairTicker)
print(... | npenkar/botCode | BitbnsPy/botbns.py | botbns.py | py | 788 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.apiKey",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "config.secret",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "bitbnspy.bitbns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bitbnspy.bitbns.p... |
72753340263 | import json
import time
import os
import uuid
import argparse
from datetime import datetime, timedelta
from kafka import KafkaConsumer, SimpleConsumer
import os.path
import subprocess
def gzip_yesterday(yesterday):
#print "gzip_yesterday"
out = None
fname = args.target_folder+"/"+args.target_file+"_"+yesterday+"... | goliasz/kafka2bigquery | src/main/python/dump_topic.py | dump_topic.py | py | 1,687 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isfile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_output",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaConsum... |
31965515598 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# vi: ts=4 sw=4
import pickle
from ..Protocols import *
from scipy.spatial.distance import cdist
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans, MeanShift, estimate_bandwidth, AffinityPropagation, SpectralClustering # Clustering methods
f... | CFN-softbio/SciAnalysis | SciAnalysis/ImAnalysis/Flakes/cluster.py | cluster.py | py | 42,216 | python | en | code | 19 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "joblib.Parallel",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "joblib.delayed",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "itertools.chain.from_itera... |
14198442268 | import os
from flask import Flask, render_template, request
import base64
from io import BytesIO
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import src.components.data_ingestion as DI
from src.components.model_trainer import modelTrain
from werkzeug.utils import secure_filename
app = Flask(... | al0nkr/style-transfer-nn | app.py | app.py | py | 3,973 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
16209163559 | import datetime
import os
import random
import string
from datetime import datetime
import requests
from boto3 import Session
from django.conf import settings
from django.conf.global_settings import MEDIA_ROOT
from market_backend.apps.accounts.models import Media
from market_backend.v0.accounts import serializers
c... | muthukumar4999/market-backend | market_backend/v0/accounts/utils.py | utils.py | py | 5,060 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.choice",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": ... |
8473901690 | #!/usr/bin/env python3
############
## https://gist.github.com/DevBOFH/7bd65dbcb945cdfce42d21b1b6bc0e1b
############
##
##
description = 'Terraform workspace tool. This tool can be used to perform CRUD operations on Terraform Cloud via their public API.'
version = "0.0.1"
import os
import re
import sys
import reques... | babywyrm/sysadmin | terraform/tf_workspace_.py | tf_workspace_.py | py | 5,404 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "os.path.expanduser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_n... |
35876191865 | import sqlite3
from sqlite3 import Error
class Key:
def __init__(self, key,content,info, database_path):
if database_path!="":
try:
self.key = key
self.database_path =database_path
if not self.check_key_exists():
if len(self.get_all__key(key))==0:
if key!="... | dahstar/xwx.ctflab | fldb.py | fldb.py | py | 2,775 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.Error",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"... |
33738820247 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
db = SQLAlchemy()
def create_app():
app = Flask(__name__)
cors = CORS(app)
app.config["FLASK_DEBUG"] = True
app.config['SECRET_KEY'] = 'secret-key-goes-here'
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:... | KariukiAntony/MMUST-HealthIT-TAT-App | app/__init__.py | __init__.py | py | 571 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "main.main",
... |
38075605873 | # -*- coding: utf-8 -*-
from pathlib import Path
class Manager:
def create_readme():
root_path = Path(__file__).parent
info ="""## حل سوالات کوئرا
برای دیدن صفحه ی اصلی هر سوال در سایت کوئرا میتوانید روی نام هر سوال کلیک کنید و یا در قسمت توضیحات روی PDF کلیک کنید.
showmeyourcode.ir
"""
... | MohammadNPak/quera.ir | manage.py | manage.py | py | 2,594 | python | en | code | 40 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
}
] |
31920197231 | from google.cloud import vision
# with 開始から終了まで自動で実行してくれる
# rb read binaryモード バイナリーモードを読み込む
# テキスト以外のデータ 主に画像や動画
# road.jpgを開いて読み込む
with open('./road.jpg', 'rb') as image_file:
content = image_file.read()
# vision APIが扱える画像データに変換
image = vision.Image(content=content)
# annotation テキストや音声、画像などあらゆる形式のデータにタグ付けをする作... | yuuki-1227/vision-ai-test | index.py | index.py | py | 916 | python | ja | code | 0 | github-code | 36 | [
{
"api_name": "google.cloud.vision.Image",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "google.cloud.vision",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "google.cloud.vision.ImageAnnotatorClient",
"line_number": 17,
"usage_type": "call"
},
{... |
39939114136 | from PyQt5.QtWidgets import QTableWidgetItem, QLabel, QFileDialog
from PyQt5.QtCore import Qt
from pandas.tests.io.excel.test_xlrd import xlwt
from UI.resultWinUI import *
from algorithm import *
from UI.mainWinUI import *
class BrokerWin(Ui_MainWindow, QtWidgets.QMainWindow):
def __init__(self, parent=None):
... | JuliaZimina/Remote-Banking-Brokers | UI/brokerUI.py | brokerUI.py | py | 8,392 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QTableWidgetItem",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.Qt.AlignHCenter",
"line_number": 125,
"usage_type": "attribute"
... |
15672387350 | from clearpath_config.common.types.config import BaseConfig
from clearpath_config.common.types.list import OrderedListConfig
from clearpath_config.common.utils.dictionary import flip_dict
from clearpath_config.mounts.types.fath_pivot import FathPivot
from clearpath_config.mounts.types.flir_ptu import FlirPTU
from clear... | clearpathrobotics/clearpath_config | clearpath_config/mounts/mounts.py | mounts.py | py | 7,899 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "clearpath_config.mounts.types.fath_pivot.FathPivot.MOUNT_MODEL",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "clearpath_config.mounts.types.fath_pivot.FathPivot",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "clearpath_config.mounts.ty... |
35451201459 | import cv2
from pydarknet import Detector, Image
net = Detector(bytes("tank.cfg", encoding="utf-8"), bytes("tank.weights", encoding="utf-8"), 0, bytes("tank.data",encoding="utf-8"))
def Detect(path):
vidObj = cv2.VideoCapture(path)
count = 0
success = 1
while success:
success, ... | wisekrack/BattleTankDown | tankLocFromSurveillanceVideo.py | tankLocFromSurveillanceVideo.py | py | 958 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pydarknet.Detector",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pydarknet.Image",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
... |
30352454411 | from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from starlette import status
from starlette.responses import RedirectResponse
from database import get_db
from domain.answer import answer_schema, answer_crud
from domain.question import question_crud, question_schema
from domain.... | dlawnsdk/study-fastapi-project | domain/answer/answer_router.py | answer_router.py | py | 2,709 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "domain.answer.answer_schema.AnswerCreate",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "domain.answer.answer_schema",
"line_number": 19,
"usage_type": "name"
}... |
31931640588 | import srt
from datetime import timedelta
INPUT = "You've Got Mail (si).srt"
OUTPUT = "out.srt"
START = 1411
END = -1
SHIFT = timedelta(milliseconds=1000)
with open(INPUT) as f:
subs = list(srt.parse(f.read()))
for sub in subs[START-1:END]:
sub.start += SHIFT
sub.end += SHIFT
with open(OUTPUT, 'w') as f... | aquiire/liyum-awith | sync.py | sync.py | py | 353 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.timedelta",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "srt.parse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "srt.compose",
"line_number": 18,
"usage_type": "call"
}
] |
18041766413 | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 9 11:35:21 2023
@author: akava
"""
import tkinter as tk
from tkinter import ttk
from PIL import Image, ImageTk
import customtkinter, tkinter
from retinaface import RetinaFace
import cv2
from gender_classification.gender_classifier_window import GenderClassifierWindow
c... | MartinVaro/Modular | detection/single_photo_detection_page.py | single_photo_detection_page.py | py | 10,890 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "customtkinter.CTkToplevel",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "retinaface.RetinaFace.extract_faces",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "retinaface.RetinaFace",
"line_number": 31,
"usage_type": "name"
},
{
... |
28886974693 | import os
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import img_to_array, load_img
from tqdm import tqdm
import json
def preprocess_image(image_path, target_size):
img = load_img(image_path, target_size=target_size)
img_arr... | Donike98/Assignment_Solaborate | model_inference/JSON.py | JSON.py | py | 1,701 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.keras.preprocessing.image.load_img",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.image.img_to_array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 11,
"us... |
26490765888 | import base64
from rest_framework import serializers
from categories.models import Categories, Translations, Authorities
from categories.serializers import TranslationsSerializer
from users.models import User
from .models import Documents
def get_predicted_trees():
try:
return Categories.objects.filter(
... | JU4NP1X/teg-backend | documents/serializers.py | serializers.py | py | 3,796 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "categories.models.Categories.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "categories.models.Categories.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "categories.models.Categories",
"line_number": 11,
"... |
29997839939 | from OpenGL.GL import *
from OpenGL.GLU import *
import sys
#from PyQt5.QtWidgets import QApplication, QMainWindow, QWidget, QOpenGLWidget
from PyQt5.QtWidgets import QOpenGLWidget, QApplication, QMainWindow, QLabel, QLineEdit, QVBoxLayout, QWidget
from PyQt5.QtWidgets import QSlider
from PyQt5.QtCore import *
class... | dknife/2021Graphics | Source/01_Windowing/04_GLwQtWidgets.py | 04_GLwQtWidgets.py | py | 2,613 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "PyQt5.QtWidgets.QOpenGLWidget",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow.__init__",
"line_number": 55,
"usage_type": "call"
... |
25170664533 | import gspread
import pandas as pd
import numpy as np
from oauth2client.service_account import ServiceAccountCredentials
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, confusion... | Big6Ent/Predict_Next_Day_SP500_Direction | sp500_confidence.py | sp500_confidence.py | py | 4,152 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_name",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "gspread.auth... |
35205340902 | from RocketMilesClass import RocketMiles
import time
import logging.handlers
import datetime
import os
#Smoke test for basic functionality of the Search Results page for the Rocketmiles.com search app.
#This module contains an error logger, test preconditions, and TCIDs 9-10.
#Initializing class object.
RM = Rocket... | just-hugo/Test-Automation | Rocketmiles/SmokeTestSearchResultsModule.py | SmokeTestSearchResultsModule.py | py | 2,827 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "RocketMilesClass.RocketMiles",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now"... |
27045433039 | import sys
import pysnooper
@pysnooper.snoop()
def lengthOfLongestSubstring(s: str) -> int:
a_ls = [x for x in s]
max_len = 0
substring = []
for a in a_ls:
if a in substring:
idx = substring.index(a)
substring = substring[idx + 1:]
substring.append(a)
if... | ikedaosushi/python-sandbox | pysnoozer/lengthOfLongestSubstring.py | lengthOfLongestSubstring.py | py | 504 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "pysnooper.snoop",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
}
] |
73269742825 | def checkCompletion(access_token,client_id):
import wunderpy2
import pygsheets
import datetime
x = 2
gc = pygsheets.authorize()
sh = gc.open('wunderlist_update')
wks = sh.sheet1
api = wunderpy2.WunderApi()
client = api.get_client(access_token, client_id)
current_rows = wks.get_a... | krishan147/wundersheet | wundersheet/check_task_completion.py | check_task_completion.py | py | 876 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygsheets.authorize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "wunderpy2.WunderApi",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime... |
27621948392 | import time
import pandas as pd
import numpy as np
import random
from sklearn.metrics.pairwise import cosine_similarity, euclidean_distances,manhattan_distances
from sklearn.preprocessing import MinMaxScaler
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
#CLASS ... | hrishivib/k-means-iris-MNIST-classification | k-means_MNIST.py | k-means_MNIST.py | py | 7,624 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklear... |
6793257031 | from django.apps import apps
from django.db.models.signals import post_save
from .invitation_status_changed import when_invitation_registration_post_save
from .consultant_validation_status_changed import when_consultant_validation_status_update
def setup_signals():
Invitation = apps.get_model(
app_label=... | tomasgarzon/exo-services | service-exo-core/registration/signals/__init__.py | __init__.py | py | 736 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.apps.apps.get_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.apps.apps",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.apps.apps.get_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
17883995055 | # -*- encoding: utf-8 -*-
import logging
import os
import time
import numpy as np
import openpyxl
import pandas as pd
import xlrd
# 导入PyQt5模块
from PySide2.QtCore import *
from PySide2.QtWidgets import *
from dataImportModel import Ui_Form as dataImportFormEngine
from widgets import kwargs_to_str
from lib.comm import ... | pyminer/pyminer | pyminer/packages/dataio/sample.py | sample.py | py | 47,148 | python | zh | code | 77 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.ex... |
31897243562 | from bs4 import BeautifulSoup
from collections import defaultdict, Counter
class Parser:
@staticmethod
def getWordsArticle(file):
words = []
with open(file, encoding='utf-8') as f:
for line in f:
line = line.split(" => ")
word = line[0].replace("#", "... | cenh/Wikipedia-Heavy-Hitters | Parser.py | Parser.py | py | 1,600 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "collections.Cou... |
36376749917 | # Devin Fledermaus Class 1
import tkinter
from tkinter import *
from tkinter import messagebox
from playsound import playsound
import requests
from datetime import datetime
import re
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
# Creating the window
root = Tk()
roo... | DevinFledermaus/Lotto_EOMP | main3.py | main3.py | py | 7,008 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "tkinter.StringVar",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "requests.ge... |
17884032715 | import logging
import os
import types
from typing import Optional
import core.algorithms as algorithms
from features.extensions.extensionlib import BaseExtension, BaseInterface
from packages.document_server.docserver import Server
logger = logging.getLogger(__name__)
class Extension(BaseExtension):
server = Ser... | pyminer/pyminer | pyminer/packages/document_server/main.py | main.py | py | 3,241 | python | en | code | 77 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "features.extensions.extensionlib.BaseExtension",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "packages.document_server.docserver.Server",
"line_number": 14,
"usage_ty... |
39553483739 | from rest_framework import viewsets
from rest_framework.response import Response
from rest_framework.exceptions import ParseError
from rest_framework.decorators import action, api_view
from core import models, serializers, utils
from rest_framework_simplejwt.tokens import RefreshToken
@api_view(['POST'])
def signup(... | mahziyar-es/movie-review | server/api/views/auth.py | auth.py | py | 824 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "core.serializers.UserSerializer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "core.serializers",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "rest_framework.exceptions.ParseError",
"line_number": 20,
"usage_type": "call"
},
{
... |
74059453544 | from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils import dellemc_ansible_utils as utils
import logging
from datetime import datetime, timedelta
from uuid import UUID
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.0',
'status': ['preview'],
... | avs6/ansible-powerstore | dellemc_ansible/powerstore/library/dellemc_powerstore_snapshot.py | dellemc_powerstore_snapshot.py | py | 39,907 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ansible.module_utils.dellemc_ansible_utils.get_logger",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "ansible.module_utils.dellemc_ansible_utils",
"line_number": 184,
"usage_type": "name"
},
{
"api_name": "logging.INFO",
"line_number": 185,
"us... |
13918851672 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 3 13:07:13 2018
@author: marcos
"""
import pandas as pd
import csv
import pickle as pkl
import numpy as np
import scipy.stats as sts
from sklearn import preprocessing as prep
# =====================================================================... | mhfribeiro/safra-meta | modules/preprocess/dmt.py | dmt.py | py | 10,322 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_di... |
41329717796 |
import tensorflow as tf
import numpy as np
import cv2
import os
def save_image(path, image) :
extension = os.path.splitext(path)[1]
result, encoded_img = cv2.imencode(extension, image)
if result :
with open(path, "wb") as f :
encoded_img.tofile(f)
# 대상 입력
target = input("대상을 입력하세요 : ... | moonsung1234/SimilarityComparisonProject | increase.py | increase.py | py | 1,532 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.splitext",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.imencode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number... |
75187049704 | import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
with open('requirements.txt') as fin:
lines = fin.readlines()
lines = [o.strip() for o in lines]
lines = [o for o in lines if len(o) > 0]
req = [o for o in lines if not o.star... | nghiahuynh-ai/ResViT | setup.py | setup.py | py | 643 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
41924245365 | from .sentence_cutting import cutting_500_under
import requests, json
def cleaned_result(final_result):
result = []
tmp = final_result.split('<br>')
WRONG_SPELLING = "<span class='red_text'>"
WRONG_SPACING = "<span class='green_text'>"
AMBIGUOUS = "<span class='violet_text'>"
S... | SeongMyo/Spell_Checker_plus | utils/spell_checker.py | spell_checker.py | py | 2,669 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.Session",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sentence_cutting.cutting_500_under",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.l... |
34697431338 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 20 06:20:43 2022
@author: beauw
"""
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import itertools
from pandas import to_datetime
from prophet import Prophet
from pandas import DataFrame
from matplotlib import... | SpeciesXBeer/BeerVolumeProphet | Entire Beer Volume Forecase .py | Entire Beer Volume Forecase .py | py | 22,300 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
71782650344 | #!/usr/bin/env python
# -*- conding:utf-8 -*-
import requests
import argparse
import sys
import urllib3
import re
from prettytable import PrettyTable
urllib3.disable_warnings()
def title():
print("""
Dedecms_5.8.1 代码执行漏洞
Use:python3 dedecms_5.8.1_RC... | Henry4E36/dedecms_5.8.1_RCE | dedecms_5.8.1_RCE.py | dedecms_5.8.1_RCE.py | py | 3,462 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentPars... |
25852270022 | """Functions for dynamically loading modules and functions.
"""
import importlib
import os
__author__ = 'Hayden Metsky <hayden@mit.edu>'
def load_module_from_path(path):
"""Load Python module in the given path.
Args:
path: path to .py file
Returns:
Python module (before returning, this... | broadinstitute/catch | catch/utils/dynamic_load.py | dynamic_load.py | py | 1,312 | python | en | code | 63 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
71785754983 | #!/usr/bin/python3
import datetime
import flask
from . import client
from . import session
bp = flask.Blueprint("main", __name__)
def format_time(seconds):
return str(datetime.timedelta(seconds=seconds))
def format_size(size):
for unit in ["B","KB","MB","GB"]:
if abs(size) < 1024.0:
return "%3.1f%s" ... | jakub-vanik/youtube-ripper | http/ripper/main.py | main.py | py | 2,200 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.g",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"l... |
1914874686 | import math
from distributed import Client
from tqdm import tqdm
import numpy as np
import pandas as pd
def calculate_distance_between_queries(data_df, queries, metric, dask_client: Client= None, n_blocks = None):
involved_instances = np.unique(queries, axis = None)
relevant_data = data_df.reset_index(drop=Tr... | jankrans/Conditional-Generative-Neural-Networks | repositories/profile-clustering/energyclustering/clustering/similarity/distmatrix.py | distmatrix.py | py | 4,922 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "distributed.Client",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.unique",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array_split",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line... |
30586804681 | from django.contrib.formtools.wizard.views import SessionWizardView
from django.core.urlresolvers import reverse
from django.forms import modelformset_factory
from django.http import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404
# Create your views here.
from recipe.forms import *
from r... | BrewRu/BrewRu | recipe/views.py | views.py | py | 2,193 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.modelformset_factory",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.forms.modelformset_factory",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.forms.modelformset_factory",
"line_number": 16,
"usage_type": ... |
17173794780 | # -*- coding: utf-8 -*-
# @Time : 2019/9/10 11:21
# @Author : bjsasc
import json
import logging
import os
import sys
import time
import DataUtil
from pyinotify import WatchManager, Notifier, ProcessEvent, IN_CLOSE_WRITE
# 设置日志输出两个handle，屏幕和文件
log = logging.getLogger('file watch ---')
fp = logging.FileHandler('a.lo... | xingyundeyangzhen/zxm | DataWatcher.py | DataWatcher.py | py | 2,812 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.D... |
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