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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42754051183 | from datetime import datetime
from elasticsearch import Elasticsearch
from elasticsearch import helpers
import json
import time
es = Elasticsearch()
f = open("yt_data.rst")
lines = f.readlines()
cnt = 1
data_cnt = 0
actions = []
s = time.time()
for line in lines:
data = json.loads(line)
action = {
"_ind... | timothyliu0912/db_project | db/c.py | c.py | py | 641 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "elasticsearch.helpers... |
44310767729 | import pygame, colors, random, time, sideclass, draw, timer
from random import randint
def collision(player, enemy, player1, screen, WIDTH, HEIGHT):
if (pygame.sprite.groupcollide(player, enemy, False, True)):
draw.drawlose(enemy, screen, WIDTH, HEIGHT)
player1.score = 0
def side(screen, WIDTH, ... | RamboTheGreat/Minigame-Race | sidescroll.py | sidescroll.py | py | 2,909 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.sprite.groupcollide",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "draw.drawlose",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sideclass.pl... |
16272104179 | import torch
import torch.nn.functional as F
# Focal Loss with alpha=0.25 and gamma=2 (standard)
class FocalLoss(torch.nn.Module):
def __init__(self, alpha=0.25, gamma=2):
super(FocalLoss, self).__init__()
self.alpha = alpha
self.gamma = gamma
def forward(self, pred, targets):
... | martinigoyanes/drugVQA | loss.py | loss.py | py | 2,477 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional.binary_cross_entropy_with_logits",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 12,
"usage_type": "name"
},
{
... |
15637256017 | import os
import csv
import sys
import fnmatch
import shutil
import time
import re
import config as cfg
import numpy as np
import pandas as pd
import mysql.connector as mysql
import sqlalchemy
from datetime import datetime
from dateutil.parser import parse
from selenium import webdriver
from selenium.webdriver.common.k... | xxwikkixx/ChadBot | barchart/barchartDl.py | barchartDl.py | py | 6,546 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 28,
"usage_type": "name"
},
{... |
38164556201 | import glob
import importlib
import io
import logging
import os
import shlex
import subprocess
import time
import cornet
import numpy as np
import pandas
import torch
import torch.nn as nn
import torch.utils.model_zoo
import torchvision
import tqdm
from PIL import Image
from torch.nn import Module
Image.warnings.simp... | franzigeiger/training_reductions | base_models/trainer_performance.py | trainer_performance.py | py | 12,170 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "PIL.Image.warnings.simplefilter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image.warnings",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "log... |
22234739193 | from pykinect2 import PyKinectV2
from pykinect2.PyKinectV2 import *
from pykinect2 import PyKinectRuntime
import numpy as np
import cv2
import time
# kinect = PyKinectRuntime.PyKinectRuntime(PyKinectV2.FrameSourceTypes_Color)
# while True:
# if kinect.has_new_color_frame():
# frame = kinect.get_last_color_fram... | zachvin/KinectImaging | tests.py | tests.py | py | 996 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "cv2.findCircles... |
5577508746 | import json
with open('firm.txt', 'r', encoding='utf-8') as f:
data = []
for line in f:
line = line.replace("\n", "")
string = line.split(" ")
data.append(string)
average = 0
avg_firms = 0
diction = {}
for el in data:
profit = int(el[2]) - int(el[3])
diction.update({el[0]:profi... | Ilyagradoboev/geekproject | lesson_5.7.py | lesson_5.7.py | py | 580 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dump",
"line_number": 25,
"usage_type": "call"
}
] |
30351631272 |
def load_and_get_stats(filename):
"""Reads .wav file and returns data, sampling frequency, and length (time) of audio clip."""
import scipy.io.wavfile as siow
sampling_rate, amplitude_vector = siow.read(filename)
wav_length = amplitude_vector.shape[0] / sampling_rate
return sampling_rate, amplit... | Sychee/Piano-Audio-Classifier | audio_to_spectogram.py | audio_to_spectogram.py | py | 1,820 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scipy.io.wavfile.read",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
22868444012 | import pandas as pd
import numpy as np
from nltk.corpus import stopwords
nltk_stopwords = stopwords.words('english')
# Sklearn TF-IDF Libraries
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity... | chois11/7071CEM-R | resources/backend/search_engine.py | search_engine.py | py | 1,376 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklea... |
24644699429 | import io
import itertools
def part_one():
file = open('inputs\\day_1_part_1.txt', 'r')
total = 0
for line in file:
total = total + int(line)
print(f'Part 1 Total {total}')
def part_two():
file = open('inputs\\day_1_part_1.txt', 'r')
observed_frequencies = {0}
total = 0
for lin... | mruston0/AdventOfCode2018 | day_1_chronal_calibration.py | day_1_chronal_calibration.py | py | 639 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.cycle",
"line_number": 15,
"usage_type": "call"
}
] |
41203564707 | import cv2
import numpy as np
from PIL import Image
facedetect = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')#create a cascade classifier using haar cascade
cam = cv2.VideoCapture(0)#creates avideo capture object
rec=cv2.createLBPHFaceRecognizer()#create a recognizer object
rec.load("test_traini... | UPASANANAG/Face-Recognizer | facedetector.py | facedetector.py | py | 1,437 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.createLBPHFaceRecognizer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.... |
26285333278 | import os, requests, colorama
from colorama import Fore
green = Fore.GREEN
red = Fore.RED
yellow = Fore.YELLOW
reset = Fore.RESET
#banner
banner = """
__ __ __
/ / / /___ _____/ /_
/ /_/ / __ \/ ___/ __/
/ __ / /_/ (__ ) /_ ... | Nadeesha-Prasad/Zero-Balance-Host-Scanner-For-Linux | hscan.py | hscan.py | py | 2,271 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "colorama.Fore.GREEN",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.RED",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "colorama.F... |
21417420352 | import pandas as pd
import numpy as np
import requests
from textblob import TextBlob as tb
from bs4 import BeautifulSoup as bs
from matplotlib import pyplot as plt
import time
import nltk
import re
from IPython.display import clear_output
import matplotlib.pyplot as plt
import seaborn as sns
stopwords = nltk.corpus.... | Ruksana-Kauser/NLP_Final_Project | reviews.py | reviews.py | py | 6,211 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.corpus",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "textblob.TextBlob",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "reques... |
26009651155 | import argparse
import os
import random
import re
import subprocess
import time
parser = argparse.ArgumentParser()
parser.add_argument(
"-n", "--number", help="max number of problems to attempt", type=int
)
parser.add_argument(
"-r", "--random", help="attempt problems in random order", action="store_true"
)
pa... | russellw/ayane | script/e.py | e.py | py | 2,820 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_num... |
33052012137 | from sqlalchemy.orm import Session
import curd, cloud, orm
def policy_with_projects(yun, projects):
if not projects or len(projects) == 0:
return None
tagvals = ','.join(['"'+p.project.name+'"' for p in projects])
return yun.CloudIAM.policy_gen_write_with_tag("Project", tagvals)
def policy_with_te... | kealiu/codecommitter | app/iam.py | iam.py | py | 2,267 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "orm.User",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "curd.ProjectAdmin.get_all_by_user",
"line_number": 31,
"usage_type": "call"
},
{
"api_name":... |
40554209630 | """
Stack-In-A-Box: Stack Management
"""
import logging
import re
import threading
import uuid
import six
logger = logging.getLogger(__name__)
class ServiceAlreadyRegisteredError(Exception):
"""StackInABoxService with the same name already registered."""
pass
class StackInABox(object):
"""Stack-In-A-... | TestInABox/stackInABox | stackinabox/stack.py | stack.py | py | 11,760 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 209,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"lin... |
36570577773 | from haystack.forms import SearchForm
from django import forms
from haystack.query import SearchQuerySet
from haystack.query import SQ
from peeldb.models import City
valid_time_formats = ["%Y-%m-%d 00:00:00"]
class job_searchForm(SearchForm):
q = forms.CharField(max_length=200, required=False)
location = for... | MicroPyramid/opensource-job-portal | search/forms.py | forms.py | py | 7,863 | python | en | code | 336 | github-code | 36 | [
{
"api_name": "haystack.forms.SearchForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.... |
16132606164 | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 18 10:01:52 2020
@author: Ferhat
"""
from flask import Flask, jsonify, json, Response,make_response,request
from flask_cors import CORS
# =============================================================================
# from flask_cors import cross_origin
# ==============... | RamazanFerhatSonmez/Image-Processing-Python | rest-server.py | rest-server.py | py | 4,161 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"l... |
15539017308 | from functools import reduce
from decimal import Decimal
# From stdin:
# num_of_elem=int(input())
# elements=list(map(int,input().split()))
# From a file:
num_of_elem=0
elements=""
with open('input/input03.txt','r') as file_in:
file_lines=file_in.readlines()
num_of_elem=int(file_lines[0])
elements=file_li... | gianv9/HackerRanksSubmissions | 10 Days of Statistics/Day 0/Mean Median and Mode/solution.py | solution.py | py | 1,156 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "decimal.Decimal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 27,
"usage_type": "call"
}
] |
28230488326 | from requests import Request, Session
import config
import json
__all__=['SendBookClass', 'SendFindClass']
config_FindClass = config.FindClass()
config_BookClass = config.BookClass()
http_proxy = "http://localhost:8888"
https_proxy = "https://localhost:8888"
ftp_proxy = "ftp://10.10.1.10:3128"
#cafile = 'FiddlerR... | akhildevelops/cult-fitness-auto-book | cult_network.py | cult_network.py | py | 2,133 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "config.FindClass",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.BookClass",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.Request",
... |
30846787707 | # image/views.py
from rest_framework.response import Response
from rest_framework import generics, status, filters
from rest_framework.views import APIView
from django.shortcuts import get_object_or_404
from django.core.serializers.json import DjangoJSONEncoder
from django.contrib.auth.models import User
from django.h... | ngade98/waterlogged_heroku | waterlogged/views.py | views.py | py | 16,109 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "azure.storage.blob.BlobServiceClient.from_connection_string",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "azure.storage.blob.BlobServiceClient",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "rest_framework.views.APIView",
"line_number"... |
36060957275 | # list of registered users - pdf - full format
# list of users who availed book - name, ISBN, borrowDate and returnDate
# list of users with fine amount - name and fee pending
# send notification about the due submit and late fee - sends notification
from db_read import database
from fpdf import FPDF
from tkinter... | sridamul/BBMS | userManagement.py | userManagement.py | py | 11,961 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "db_read.database.child",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "db_read.database",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fpdf.FPDF",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.... |
42412749367 | from flask import Flask, Response, jsonify
from Flask_PoolMysql import func
# 实例化flask对象
app = Flask(__name__)
app.config.from_pyfile('config.py')
class JsonResponse(Response):
@classmethod
def force_type(cls, response, environ=None):
"""这个方法只有视图函数返回非字符、非元祖、非Response对象才会调用
:param response:
... | loingjuzy/learn-flask | Flask_T1.py | Flask_T1.py | py | 1,397 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Response",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Flask_PoolMysql.func",
"li... |
41865132711 | from __future__ import absolute_import, print_function
import os
import numpy as np
import pyopencl as cl
os.environ['PYOPENCL_COMPILER_OUTPUT']='1'
modulepath=os.path.dirname(os.path.abspath(__file__))
class Particles(object):
def __init__(self,nparticles=1,ndim=10):
self.nparticles=nparticles
... | rdemaria/sixtracklib_gsoc18 | studies/study1/sixtracklib.py | sixtracklib.py | py | 2,937 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line... |
72806130663 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 2 17:51:41 2018
@author: USER
"""
import sys
sys.path.append('..')
import os
import torch
import torch.nn as nn
import numpy as np
import utils.general as utils
import utils.adversarial_ae as ae_utils
from adverse_AE import Adversarial_AE, Discriminator
... | bchao1/Fun-with-MNIST | Adversarial_Autoencoder/train.py | train.py | py | 3,559 | python | en | code | 23 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "utils.general.get_dataloader",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.genera... |
12852390478 | # An implementation of the three-body problem by Logan Schmalz
# https://github.com/LoganSchmalz/threebody/
# MIT License
import numpy as np
import scipy as sci
import scipy.integrate
import scipy.linalg
import matplotlib.pyplot as plt
# As astronomers, we like to normalize values to scales that make sense
# So that'... | LoganSchmalz/threebody | threebody.py | threebody.py | py | 5,543 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scipy.linalg.norm",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "scipy.linalg",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "scipy.linalg.norm",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "scipy.linalg",
... |
35515239669 | import argparse
from datetime import datetime
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data
from model import Model
from dataset import Dataset
from tqdm import tqdm
from sklearn.metrics import confusion_matrix, roc_curve, auc
import numpy as np
import matplotli... | onermustafaumit/MLNM | gland_classification/four_resolutions_model/test.py | test.py | py | 9,294 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
9856058749 | import re
import csv
import os
import sys
import pickle
from pprint import pprint
from enum import Enum
sys.path.insert(0, '../heatmap')
sys.path.insert(0, '../tests')
from stat_type_lookups import *
from tester import *
# Types of files:
# Fundamental files
# - PlayByPlay.csv, GameIDs.csv, BoxscoreStats.csv
#... | AdamCharron/CanadaBasketballStats | enrich/parse_to_yaml.py | parse_to_yaml.py | py | 11,609 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.insert",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
42632745572 | from setuptools import setup, find_packages
version = '0.1'
long_description = (
open('README.rst').read()
+ '\n' +
'Contributors\n'
'============\n'
+ '\n' +
open('CONTRIBUTORS.rst').read()
+ '\n' +
open('CHANGES.rst').read()
+ '\n')
setup(
name='imio.dms.ws',
version=ver... | IMIO/imio.dms.ws | setup.py | setup.py | py | 1,189 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 34,
"usage_type": "call"
}
] |
4513078370 | import json
import random
words = []
unavailableWordIndices = set()
rejectedWordIndices = set()
with open("words.js", "r") as f:
s = f.read()
s = s[s.find("["):s.rfind(",")] + "]"
words = json.loads(s)
with open("history.json", "r") as f:
history = json.load(f)
for item in history:
index ... | mkacz91/slowle | picker.py | picker.py | py | 2,289 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25,
... |
72809319784 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union
import attr
from ..models.reference_type import ReferenceType
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.key import Key
T = TypeVar("T", bound="Reference")
@attr.s(auto_attribs=True)
class Reference:
"""
Att... | sdm4fzi/aas2openapi | ba-syx-submodel-repository-client/ba_syx_submodel_repository_client/models/reference.py | reference.py | py | 3,280 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"li... |
12316087861 | import tkinter as tk
from tkinter import ttk
from tkinter import filedialog
import os
import glob
import cv2
import math
import csv
import re
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from tensorflow.keras.applications.imagenet_utils import preprocess_input, decode_predictions
... | NoahSCode/EDUSIM | app_train.py | app_train.py | py | 10,305 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "tkinter.END",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "t... |
35056080810 | import cantera as ct
import numpy as np
from typing import List, Tuple
from scipy import integrate
from copy import copy
"""
Present a simple implementation of IDT reactors and the
cantera implementation of a LFS reactor.
Each model can be called as:
IDT, all_conditions = idt_reactor.solve(gas, flag='T', temp_rise=... | fingeraugusto/red_app | src/reactors.py | reactors.py | py | 11,199 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "cantera.one_atm",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "cantera.Solution",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "cantera... |
18206090350 | from scrapy.selector import HtmlXPathSelector
from scrapy.contrib.spiders import CrawlSpider # Rule
from scrapy.http.request import Request
import html2text
import time
import re
import dateutil.parser
import datetime
import urlparse
from buzz_crawler.items import BuzzCrawlerItem
from markdown import markdown
class ... | claudehenchoz/z4 | buzz_crawler/buzz_crawler/spiders/woz_spider.py | woz_spider.py | py | 1,600 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.contrib.spiders.CrawlSpider",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.HtmlXPathSelector",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "buzz_crawler.items.BuzzCrawlerItem",
"line_number": 21,
"usage_type"... |
13859467294 | import xml.etree.ElementTree as ET
import json
path_train = "D:/code/prompt-ABSA/dataset/original data/ABSA16_Laptops_Train_SB1_v2.xml"
path_test = 'D:/code/prompt-ABSA/dataset/original data/EN_LAPT_SB1_TEST_.xml'
terr = 'laptops16'
def get_path(territory, data_type):
return f'./dataset/data/{territory}/{data_ty... | lazy-cat2233/PBJM | data_from_xml.py | data_from_xml.py | py | 2,285 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "json.dump... |
31515158551 | """Basic state machine implementation."""
# pylint: disable=unnecessary-pass, too-many-instance-attributes
from typing import Iterable, Union
from rclpy import logging
from rclpy.node import Node
from rclpy.time import Time, Duration
LOGGER = logging.get_logger("behavior")
class Resource:
"""The resource class i... | LARG/spl-release | src/behavior/behavior/state_machine.py | state_machine.py | py | 22,719 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "rclpy.logging.get_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rclpy.logging",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rclpy.node.Node",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "typing.Iterable"... |
1063868906 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from PIL import Image
from matplotlib import pyplot as plt
import numpy as np
import pytesseract
import cv2
import tkinter as tk
import logging
import time
import re
import threading
# Dimensioning values
# We are defining global variables based on match data in order t... | BrunoSader/An-emotional-sports-highlight-generator | ocr/final_ocr.py | final_ocr.py | py | 18,525 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PRO... |
35153410551 | import torch
import torch.nn as nn
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.fc1 = nn.Linear(784, 256, bias = False)
self.bn1 = nn.BatchNorm1d(256)
self.relu1 = nn.ReLU()
self.fc2 = nn.Linear(256, 128)
self.bn2 = nn.BatchNorm1d... | Sachi-27/WiDS--Image-Captioning | Week 2/model.py | model.py | py | 649 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
34203757063 | import torch
import torch.nn as nn
from math import sin, cos
import models
from models.base import BaseModel
from models.utils import chunk_batch
from systems.utils import update_module_step
from nerfacc import ContractionType, OccupancyGrid, ray_marching
from nerfacc.vol_rendering import render_transmittance_from_alph... | 3dlg-hcvc/paris | models/se3.py | se3.py | py | 10,421 | python | en | code | 31 | github-code | 36 | [
{
"api_name": "models.base.BaseModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.make",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.make",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.make",
"line... |
2109558152 | import numpy as np
import pandas as pd
from math import factorial, pi
import scipy.optimize
import scipy.misc
import os
import re
import argparse
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import RBF,ConstantKernel
# for tests
#import matplotlib.pyplot... | pierre-moreau/EoS_HRG | EoS_HRG/fit_lattice.py | fit_lattice.py | py | 20,400 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser... |
42493659115 | """
Helper function to safely convert an array to a new data type.
"""
from __future__ import absolute_import, print_function, division
import numpy as np
import theano
__docformat__ = "restructuredtext en"
def _asarray(a, dtype, order=None):
"""Convert the input to a Numpy array.
This function is almost ... | Theano/Theano | theano/misc/safe_asarray.py | safe_asarray.py | py | 2,384 | python | en | code | 9,807 | github-code | 36 | [
{
"api_name": "theano.config",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.dtype",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 34,
"usage_type": "call"
}
] |
24814387482 | #! /usr/bin/env python
from __future__ import print_function
from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession
import Addressbook_pb2
import sys
from google.protobuf import json_format
import json
import glob
import errno
if __name__ == "__main__":
confz = SparkConf()\
.set(... | yiyuan906/ProjectWork | ProtobufTest/SparkConvertFrom.py | SparkConvertFrom.py | py | 1,367 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 22,
"usage_type": "attribute"... |
41510394343 | # -*- coding: utf-8 -*-
# project 1
import pandas as pd
import numpy as np
import matplotlib
import warnings
import matplotlib.pyplot as plt
import os
import seaborn as sns
from scipy import stats as st
from scipy.linalg import svd
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklear... | tirohweder/into_ml_dm_project_1 | main.py | main.py | py | 11,707 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.MatplotlibDeprecationWarning",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
},
{
... |
40746622543 | import numpy as np
import gzip
from ase import Atom, Atoms
import gzip
import io
import os
from ase.io import write, read
import pyscal3.formats.ase as ptase
import warnings
def read_snap(infile, compressed = False):
"""
Function to read a POSCAR format.
Parameters
----------
infile : string
... | pyscal/pyscal3 | src/pyscal3/formats/vasp.py | vasp.py | py | 3,869 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "ase.io.read",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pyscal3.formats.ase.read_snap",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pyscal3.formats.ase",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "warning... |
11686617200 | import psutil
import time
import sys
# Nav : gzserver, move_base, amcl, robo state pub, rosout, mapsrv
# ObjTrack : gzserver, subscribr, objdetector, objtracker, controller
# Nav2D : stage, navigator, operator, mapper, rviz, joy, controller
cpu_util = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
mem_util = [0.0, 0.0, 0.0,... | aditi741997/robotics_project | measure_cpu.py | measure_cpu.py | py | 2,264 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "psutil.AccessDenied",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "psutil.process_iter",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "psutil.pro... |
18626454048 | #
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be u... | ssOleg/pywbem | pywbem/_recorder.py | _recorder.py | py | 36,379 | python | en | code | null | github-code | 36 | [
{
"api_name": "six.PY2",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "six.PY2",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "collections.namedtuple",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "yaml.MappingNode",
... |
17849611547 | from ..config import np, Vector, DataName, MetaboliteConfig, ParameterName, LegendConfig
from ..metabolic_network_contents.metabolite import Metabolite
from ..metabolic_network_contents.reaction import Reaction
metabolite_width = MetaboliteConfig.width
class NormalLegendConfig(object):
metabolite_content_dict ... | LocasaleLab/Automated-MFA-2023 | figures/figure_plotting/figure_elements/metabolic_network/layout_generator_functions/legend_layout_generator.py | legend_layout_generator.py | py | 11,543 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.MetaboliteConfig.width",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "config.MetaboliteConfig",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "metabolic_network_contents.metabolite.Metabolite",
"line_number": 12,
"usage_typ... |
42194340126 | import datetime
import math
from sqlalchemy import desc, asc
from app.main import db
from app.main.model.unit import Unit
from app.main.service.language_helper import LanguageHelper
def save_unit(data, args):
errors = {}
language_data = LanguageHelper(args)
# Check unique field is null or not
if da... | viettiennguyen029/recommendation-system-api | app/main/service/unit_service.py | unit_service.py | py | 9,022 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.main.service.language_helper.LanguageHelper",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.main.model.unit.Unit.query.filter_by",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "app.main.model.unit.Unit.query",
"line_number": 27,
... |
2036516482 | import os
import pathlib
import argparse
import uuid
import logging
import subprocess
from nuvoloso.dependencies.install_packages import InstallPackages
from nuvoloso.dependencies.kops_cluster import KopsCluster
from nuvoloso.dependencies.kubectl_helper import KubectlHelper
from nuvoloso.api.nuvo_management import Nu... | Nuvoloso/testing_open_source | testingtools/deploy_app_cluster.py | deploy_app_cluster.py | py | 6,776 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nuvoloso.api.nuvo_management.NuvoManagement",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nuvoloso.dependencies.kubectl_helper.KubectlHelper",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nuvoloso.dependencies.install_packages.InstallPack... |
75002646183 | from concurrent.futures import ThreadPoolExecutor,wait,as_completed
from socket import timeout
from turtle import done
from unittest.result import failfast
import requests
import re
import warnings
import os
import traceback
import importlib
warnings.filterwarnings('ignore')
url='https://e-hentai.org'
slist... | CrystalRays/pytools | ehentaidownloader.py | ehentaidownloader.py | py | 4,505 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "re.findall",
"li... |
71930911465 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 5 20:17:37 2017
@author: afranio
"""
import numpy as np
import matplotlib.pyplot as plt
# dados experimentais
# benzeno - pressao de vapor X temperatura
P = np.array([ 1, 5, 10, 20, 40, 60, 100, 200, 400, 760]) # mmH... | afraniomelo/curso-matlab | codigos/python/ajuste_polinomio.py | ajuste_polinomio.py | py | 887 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.polyfit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.polyval",
"line_numbe... |
23314260402 | import logging
import os
from malware_extractor import MalwareExtractor
logger = logging.getLogger(__name__)
class VXVaultExtractor(MalwareExtractor):
def process_input(self):
# files are just zip files, so can simply copy those across
self.copy_files()
if __name__ == "__main__":
logger.i... | g-clef/malware_extractor | VXVaultExtractor.py | VXVaultExtractor.py | py | 708 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "malware_extractor.MalwareExtractor",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os... |
26498800829 | import requests
import json
import numpy as np
import cv2
import os
from tqdm import tqdm
def crop_receipt(raw_img):
"""Crop receipt from a raw image captured by phone
Args:
raw_img ([np.array]): Raw image containing receipt
Returns:
cropped_receipt ([np.array]): The image of cropped rece... | tiendv/MCOCR2021 | Task1/cropper.py | cropper.py | py | 1,516 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "cv2.imencode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.imencode",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_... |
12526381398 | from PIL import ImageGrab,Image
import pytesseract
def yz_code():
# bbox = (1348, 423, 1455, 455) # 截图范围，这个取决你验证码的位置
# img = ImageGrab.grab(bbox=bbox)
# img.save("D:\\py\\login\\image_code.jpg") # 设置路径
# img.show()
img = Image.open('img5.bmp') # PIL库加载图片
# print img.format, img.size, img.... | SuneastChen/other_python_demo | 其他实例/验证码识别/图片处理1_pytesseract识别.py | 图片处理1_pytesseract识别.py | py | 1,285 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
71202438503 | # -*- coding: utf-8 -*-
# @Author: Luis Condados
# @Date: 2023-09-09 18:46:06
# @Last Modified by: Luis Condados
# @Last Modified time: 2023-09-16 18:33:43
import fiftyone as fo
import fiftyone.zoo as foz
import fiftyone.brain as fob
from sklearn.cluster import KMeans
import click
import logging
logging.basicCo... | Gabriellgpc/exploratory_image_data_analysis | workspace/demo.py | demo.py | py | 2,617 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "fiftyone.Dataset.from_images_dir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name":... |
27890676766 | # -*- coding: utf-8 -*-
import tensorflow as tf
import tensorflow.examples.tutorials.mnist.input_data as input_data
import pdb
def weight_variable(shape):
"初始化权重"
initial = tf.truncated_normal(shape,stddev=0.1)
return tf.Variable(initial)
def bias_variable(shape):
"初始化偏置项"
initial = tf.constant... | RyanWangZf/Tensorflow_Tutorial | Others/simple_CNN.py | simple_CNN.py | py | 2,840 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.truncated_normal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.Variable",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.constant",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "t... |
4778562539 | from typing import Optional, Tuple, Union
import paddle
import paddle.nn.functional as F
def cast_if_needed(tensor: Union[paddle.Tensor, None],
dtype: paddle.dtype) -> Union[paddle.Tensor, None]:
"""Cast tensor to dtype"""
return tensor if tensor is None or tensor.dtype == dtype else paddl... | NVIDIA/TransformerEngine | transformer_engine/paddle/utils.py | utils.py | py | 4,609 | python | en | code | 1,056 | github-code | 36 | [
{
"api_name": "typing.Union",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "paddle.Tensor",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "paddle.dtype",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "paddle.cast",
"lin... |
73060543145 | from tutelary.models import (
PermissionSet, Policy, PolicyInstance
)
from django.contrib.auth.models import User
import pytest
from .factories import UserFactory, PolicyFactory
from .datadir import datadir # noqa
from .settings import DEBUG
@pytest.fixture(scope="function") # noqa
def setup(datadir, db):
u... | Cadasta/django-tutelary | tests/test_integrity.py | test_integrity.py | py | 4,068 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "factories.UserFactory.create",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "factories.UserFactory",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "factories.UserFactory.create",
"line_number": 14,
"usage_type": "call"
},
{
"a... |
40285478633 | # %%
import logging
import os.path
import shutil
import sys
from typing import Optional
import matplotlib.pyplot as plt
import pandas as pd
import pytorch_lightning as pl
import torch
import torch.nn.functional as F
import torchaudio
from icecream import ic
from torch.utils.data import Dataset, DataLoader
import matpl... | Stanvla/Thesis | hubert/clustering/torch_mffc_extract.py | torch_mffc_extract.py | py | 17,709 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "icecream.ic",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.path.path.joi... |
8694387627 | import pandas as pd
import numpy as np
import os
from datetime import timedelta
import math
pd.set_option('display.width', 1200)
pd.set_option('precision', 3)
np.set_printoptions(precision=3)
np.set_printoptions(threshold=np.nan)
class Config:
__instance = None
def __new__(cls, *args, **kwargs):
if c... | cheersyouran/simi-search | codes/config.py | config.py | py | 3,162 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "pandas.set_option",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.set_pri... |
20238646277 | from numpy import *
import operator
import matplotlib
import matplotlib.pyplot as plt
from os import listdir
def classify0(inX, dataSet, labels, k):
dataSetSize=dataSet.shape[0]#返回dataset的第一维的长度
print(dataSetSize)
diffMat = tile(inX, (dataSetSize,1)) - dataSet
#计算出各点离原点的距离
#表示diffMat的平方
sqDiffM... | geroge-gao/MachineLeaning | kNN/kNN.py | kNN.py | py | 4,622 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "operator.itemgetter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "matplo... |
23861578625 | from collections import defaultdict
def is_isogram(string):
dt = defaultdict(int)
for c in string.lower():
dt[c] += 1
for k in dt:
if k.isalpha() and dt[k] > 1:
return False
return True
| stackcats/exercism | python/isogram.py | isogram.py | py | 231 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
}
] |
17643428428 | import argparse
import os
import torch
import torch.nn as nn
import torch.optim as optim
from tqdm import tqdm
from torchvision.utils import save_image
from torch.utils.data import Dataset, DataLoader
import albumentations
from albumentations.pytorch import ToTensorV2
from PIL import Image
import numpy as np
torch.bac... | ishon19/CSE676-FinalProject | Pix2Pix.py | Pix2Pix.py | py | 14,819 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.backends",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential... |
73659014184 | from django.shortcuts import render, redirect, HttpResponse
from django.contrib import messages
from login.models import User
from .models import Quote
# Create your views here.
def quotes(request):
if 'user_id' not in request.session:
return redirect('/')
all_users = User.objects.all()
user =... | everhartC/QuoteDash | quoteApp/views.py | views.py | py | 1,807 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "login.models.User.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "login.models.User.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
14893965980 | #coding: utf-8
import sys,io
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import QIcon
class Main(QWidget):
def __init__(self):
super().__init__()
self.mainUI()
def mainUI(self):
self.setGeometry(300,300,300,300)
self.setWindowT... | hirotask/-Python-mojiretu_kugiru | 文字列区切る君/main.py | main.py | py | 1,205 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "io.TextIOWrapper",
"line_n... |
15871423301 | from pathlib import Path
from typing import Any, Dict
import torch
from tsm import TSM
from tsn import TSN, TRN, MTRN
verb_class_count, noun_class_count = 125, 352
class_count = (verb_class_count, noun_class_count)
def make_tsn(settings):
return TSN(
class_count,
settings["segment_count"],
... | epic-kitchens/epic-kitchens-55-action-models | model_loader.py | model_loader.py | py | 2,906 | python | en | code | 73 | github-code | 36 | [
{
"api_name": "tsn.TSN",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tsn.TRN",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "tsn.MTRN",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "tsm.TSM",
"line_number": 46,
"usage_... |
26192939759 | import os
import png
import math
from color_helpers import convert_16_bit_texture_for_pypng
# IO THPS Scene Image Correction
def shift_row_pixels(row_pixels, shift_amount):
shifted_row = []
shifted_row.extend(row_pixels[shift_amount * -4 :])
shifted_row.extend(row_pixels[0 : shift_amount * -4])
ret... | slfx77/psx_texture_extractor | helpers.py | helpers.py | py | 2,778 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "os.makedirs",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "png.Writer",
"line_numbe... |
23013394729 | import requests
import os
def gokidsgo():
a = input('Url? default: 127.0.0.1/').rstrip()
if a == '':
url = 'http://127.0.0.1/icons/folder.gif'
print('grabbing: ' + url)
req = requests.get(url, timeout=90)
if req.ok:
dat = req.text
print(dat... | thcsparky/bigclickskid | oldtries/sandbox.py | sandbox.py | py | 952 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
}
] |
4275879545 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import cloudinary
cloudinary.config(
cloud_name="djtxsnk9c",
api_key="372171617535646",
api_secret="2zMo8MA5wgslqPtRwHOVS1AFRks",
)
# SQLALCHEMY_DATABASE_URL = "sqlite:///... | ddicko/deploy_fastapi | sql_app/database.py | database.py | py | 775 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cloudinary.config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
28985781241 | from collections import Counter
from typing import Generator, Iterable, Literal, Set
import click
import trimesh.creation
from aoc_2022_kws.cli import main
from aoc_2022_kws.config import config
from trimesh import transformations
class Facet:
def __init__(
self, axis: Literal["x", "y", "z"], x: int, y: ... | SocialFinanceDigitalLabs/AdventOfCode | solutions/2022/kws/aoc_2022_kws/day_18.py | day_18.py | py | 5,002 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "typing.Literal",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Generator",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "trimesh.transformations.translation_matrix",
"line_number": 60,
"usage_type": "call"
},
{
"api_na... |
38285078798 | from setuptools import find_packages, setup
with open("README.txt") as f:
readme = f.read() + "\n"
with open("CHANGES.txt") as f:
readme += f.read() + "\n"
with open("HACKING.txt") as f:
readme += f.read()
setup(
name="fc.qemu",
version="1.4.1.dev0",
author="Christian Kauhaus, Christian Theune... | flyingcircusio/fc.qemu | setup.py | setup.py | py | 1,233 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 18,
"usage_type": "call"
}
] |
70853975785 | # -*- coding: utf-8 -*-
from __future__ import print_function
from nltk.stem.porter import PorterStemmer
from textblob import TextBlob
from wordcloud import WordCloud
import nltk
import json
import matplotlib.pyplot as plt
import os
import string
from textblob.sentiments import NaiveBayesAnalyzer
ps = Po... | dhanashriOstwal/electionSentimentAnalysis | Python Scripts/sentimentAnalysis.py | sentimentAnalysis.py | py | 3,158 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.stem.porter.PorterStemmer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "stri... |
29450013209 | from ..models import Comment
from ..serializers import CommentSerializer
from rest_framework.response import Response
from rest_framework import permissions, generics
from rest_framework.authtoken.models import Token
from rest_framework.status import HTTP_403_FORBIDDEN
class CommentDetail(generics.RetrieveUpdateDestr... | thunderlink/ThunderFish | backend/server/views/comment.py | comment.py | py | 1,520 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "rest_framework.generics.RetrieveUpdateDestroyAPIView",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticatedOrReadOnly",
"line_... |
2911463134 | import torch.nn as nn
import torch.nn.functional as F
class NeuralNet(nn.Module):
def __init__(self):
super(NeuralNet, self).__init__()
self.conv1 = nn.Conv2d(1, 3, kernel_size=(3, 3), stride=1, padding=0)
self.conv2 = nn.Conv2d(3, 6, kernel_size=(4, 4), stride=1, padding=0)
sel... | arunsanknar/AlectioExamples | image_classification/fashion-mnist-and-mnist/model.py | model.py | py | 870 | python | en | code | 0 | 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": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
12152753848 | import numpy as np
import plotly
import plotly.graph_objects as go
def normalize_cam_points(P,x,N):
"""
Normalize the camera matrices and the image points with normalization matrices N.
:param P: ndarray of shape [n_cam, 3, 4], the cameras
:param x: ndarray of shape [n_cam, 3, n_points], the projected... | antebi-itai/Weizmann | Multiple View Geometry/Assignment 5/Solution/code/utils.py | utils.py | py | 4,188 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line... |
22355103302 | # coding: utf-8
import os
import random
import time
import cv2
import numpy as np
import torch
from torch import nn, optim
from tqdm import tqdm
import matplotlib.pyplot as plt
import modules
class Classifier:
chinese_characters = ['云', '京', '冀', '吉', '宁', '川', '新', '晋', '桂', '沪',
'津',... | QQQQQby/Car-Plate-Recognition | classifier.py | classifier.py | py | 6,613 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.set_default_tensor_type",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": ... |
15980397887 | """Check for usage of models that were replaced in 2.0."""
from pylint.checkers import BaseChecker
from pylint.interfaces import IAstroidChecker
class NautobotReplacedModelsImportChecker(BaseChecker):
"""Visit 'import from' statements to find usage of models that have been replaced in 2.0."""
__implements__ ... | nautobot/pylint-nautobot | pylint_nautobot/replaced_models.py | replaced_models.py | py | 3,231 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "pylint.checkers.BaseChecker",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pylint.interfaces.IAstroidChecker",
"line_number": 9,
"usage_type": "name"
}
] |
26034310554 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
# In[2]:
commercial = pd.read_csv('./commercial.csv')
commercial
# In[3]:
# 끝에 5개 데이터만 추출
commercial.tail(5)
# In[5]:
list(commercial), len(list(commercial))
# In[7]:
commercial.groupby('상가업소번호')['상권업종소분류명'].count().sort_values(ascend... | dleorud111/chicken_data_geo_graph | 치킨 매장 수에 따른 지도 그리기.py | 치킨 매장 수에 따른 지도 그리기.py | py | 2,238 | python | ko | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 98,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 98,
"usage_type": "name"
},
{
"api_name": "mat... |
27823324545 | import requests
from bs4 import BeautifulSoup
import zlib #crc32加密
list_cyc32=[]
list_url=[]
import re
# # 为了用xpath
user_agent = 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0'
headers = {'User-Agent': user_agent}
# url="https://www.cn... | Madlife1/pythonProject2 | url_spider.py | url_spider.py | py | 1,896 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "zlib.crc32",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_nu... |
14551208863 | from fractions import Fraction
from hypothesis import given
from jubeatools import song
from jubeatools.formats.timemap import TimeMap
from jubeatools.testutils import strategies as jbst
from jubeatools.utils import group_by
@given(jbst.timing_info(with_bpm_changes=True), jbst.beat_time())
def test_that_seconds_at_... | Stepland/jubeatools | jubeatools/formats/konami/eve/tests/test_timemap.py | test_timemap.py | py | 1,881 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "jubeatools.song.Timing",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "jubeatools.song",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "jubeatools.song.BeatsTime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_na... |
12336375941 | #!/usr/bin/python3
"""
Defines requests for the drivers route
"""
from api.v1.views import app_views
from flask import jsonify, request, make_response
from functools import wraps
from hashlib import md5
from models import storage
from models.users import User
import datetime
import jwt
SECRET_KEY = 'thisissecret'
de... | NamasakaLennox/Msimu | backend/api/v1/auth.py | auth.py | py | 2,555 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.request.headers",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "flask.request.headers",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "f... |
29524986199 | import os
import tempfile
import time
import unittest
from Tools import ValkyrieTools
class TestTools(unittest.TestCase):
def test_isFloat(self):
self.assertTrue(ValkyrieTools.isFloat('1.0'))
self.assertFalse(ValkyrieTools.isFloat(1))
def test_isInteger(self):
self.assertTrue(ValkyrieT... | ValkyFischer/ValkyrieUtils | unittests/test_tools.py | test_tools.py | py | 7,154 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "Tools.ValkyrieTools.isFloat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Tools.ValkyrieTools",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "T... |
31044290128 | import torch
from torch.autograd import Function
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
import time
import numpy as np
#Force Determinism
torch.manual_seed(0)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
np.random.seed(0)
# Device confi... | RyanKarl/SGX_NN_Training_and_Inference | examples/mnist/test_main.py | test_main.py | py | 7,871 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.manual_seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.backends",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.backends",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.rando... |
25730149556 | # -*- coding: utf-8 -*-
from django.shortcuts import render
import psycopg2
import psycopg2.extras
import json
from django.http import HttpResponse
from django.http import HttpResponseServerError
from django.http import HttpResponseBadRequest
from .dicttoxml import DictToXML
def index(request):
# Try to connect
... | thomaskonrad/bev-reverse-geocoder | bev_reverse_geocoder_api/views.py | views.py | py | 6,488 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "psycopg2.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "psycopg2.extras",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.http.HttpResponseServerError",
"line_number": 32,
"usage_type": "call"
},
{
"api_nam... |
73200838504 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 11 14:15:46 2019
@author: danie
"""
import geopandas as gpd
import pandas as pd
from shapely.geometry import LineString, Point
import os
import re
import numpy as np
import hkvsobekpy as his
import csv
#%%
def __between(value, a, b):
# Find and validate before-part.... | d2hydro/sobek_kisters | sobek/read.py | read.py | py | 20,927 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "shapely.geometry.LineString",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Point",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Point",
"line_number": 49,
"usage_type": "call"
},
{
"api_nam... |
24201086153 | # 백준 - 유기농 배추
import sys, collections
T = int(sys.stdin.readline())
tc = 0
def bfs(start, M, N):
global visited
dirs = ((-1,0), (1,0), (0,-1), (0,1)) # 상, 하, 좌, 우
queue = collections.deque()
queue.append(start)
while queue:
i, j = queue.popleft()
if visited[i][j]:
co... | superyodi/burning-algorithm | bfs/boj_1012.py | boj_1012.py | py | 1,095 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.stdin.readline",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline"... |
20678800215 | from __future__ import annotations
from typing import List, Optional
from sqlalchemy import BigInteger, Column, Integer, String
from pie.database import database, session
class Seeking(database.base):
__tablename__ = "fun_seeking_seeking"
idx = Column(Integer, primary_key=True, autoincrement=True)
gui... | pumpkin-py/pumpkin-fun | seeking/database.py | database.py | py | 2,317 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pie.database.database.base",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pie.database.database",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
44258229341 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
import tensorflow.keras.backend as K
# from keras.models import load_model
from tensorflow.keras.models import load_model
from os import listdir
from os.path import isdir
from PIL import Image
import numpy as np
from numpy import load
from nump... | vgthengane/pytorch-cv-models | h4_face.py | h4_face.py | py | 6,258 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "numpy.asarray",
"line_num... |
7004766354 | #!/usr/bin/python
from bs4 import BeautifulSoup
import requests
import time
import sys
import urllib
from itertools import chain
import argparse
url = "http://10.10.10.122/login.php"
startUrl = "http://10.10.10.122/"
proxyValues = {'http': 'http://127.0.0.1:8080'}
SLEEP_VALUE = 3
lower_letters = range(97,123)
upper_l... | nutty-guineapig/htb-pub | CTF/blindLDAPInjector.py | blindLDAPInjector.py | py | 5,035 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.parse.quote_plus",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "requests.session",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "bs4.Beauti... |
28890288771 | """Constructs related to type annotations."""
import dataclasses
import logging
import typing
from typing import Mapping, Optional, Set, Tuple, Type, Union as _Union
from pytype import datatypes
from pytype.abstract import _base
from pytype.abstract import _classes
from pytype.abstract import _instance_base
from pyty... | google/pytype | pytype/abstract/_typing.py | _typing.py | py | 31,975 | python | en | code | 4,405 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytype.abstract._instance_base.SimpleValue",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pytype.abstract._instance_base",
"line_number": 27,
"usage_type": "name... |
71845863784 | from django.http import HttpResponse
from django.template import loader
def index(request):
template = loader.get_template('pages/page_index.html')
context = {}
return HttpResponse(template.render(context, request))
def page(request):
template = loader.get_template('pages/page_display.html')
con... | craig-glass/epic_django | pages/views.py | views.py | py | 466 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 8,
"usage_type": "call"
},
{
"... |
20465270702 | # -*- coding: utf-8 -*-
# @Project : CrawlersTools
# @Time : 2022/6/21 17:08
# @Author : MuggleK
# @File : base_requests.py
import json
import random
import re
import time
from chardet import detect
from httpx import Client, Response
from loguru import logger
from CrawlersTools.requests.proxy import get_proxi... | MuggleK/CrawlersTools | CrawlersTools/requests/base_requests.py | base_requests.py | py | 6,417 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "CrawlersTools.requests.random_ua.UserAgent",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "CrawlersTools.requests.proxy.get_proxies",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "httpx.Client",
"line_number": 64,
"usage_type": "call... |
27775098322 | import matplotlib.pyplot as plt
import numpy as np
# Create some data to plot
x = np.arange(5)
y = [2, 5, 3, 8, 10]
# Set the xticks with labels that include LaTeX and \n
xticks = [r'Label 1', r'Label$_{2}\n$with superscript $x^2$', r'Label 3', r'Label$_{4}$', r'Label 5']
plt.plot(x, y)
plt.xticks(x, xticks, rotation... | JinyangLi01/Query_refinement | Experiment/TPCH/running_time/try.py | try.py | py | 406 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
36109925973 | #!/usr/bin/env python3
#_main_.py
import writer
import getimage
import argparse
import os
from time import sleep
import gimmedahandler #import shit
##set up the parser
parser = argparse.ArgumentParser(
description= "A simple bot to place pixels from a picture to whatever you want \n Please note to write files with t... | a-usr/pixelbot | _main_.py | _main_.py | py | 3,718 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "getimage.imageprompt",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "gimmedahandle... |
536521380 | import os
import cv2
import numpy as np
import skimage.exposure as sk_exposure
import matplotlib.pyplot as plt
from skimage.io import imshow, imread
from skimage.color import rgb2hsv, hsv2rgb
from skimage import color
from scipy.ndimage.filters import maximum_filter
from scipy.ndimage.morphology import generat... | LauraMarin/Tesis_2023 | Unet_Nuclei_feature/Contour_seg.py | Contour_seg.py | py | 4,106 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ones",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number... |
24426403241 | #!/usr/bin/env python
import sys
import os
from distutils.core import setup
from distutils.command.install import install, write_file
from distutils.command.install_egg_info import to_filename, safe_name
from functools import reduce
class new_install(install):
def initialize_options(self):
install.initial... | jwagner/playitslowly | setup.py | setup.py | py | 2,789 | python | en | code | 96 | github-code | 36 | [
{
"api_name": "distutils.command.install.install",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "distutils.command.install.install.initialize_options",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "distutils.command.install.install",
"line_number": 12,... |
13957012079 | import tensorflow as tf
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
from numpy.random import random_integers
import os
import pandas as pd
from math import floor
# Matplotlib fig params
mpl.rcParams['figure.figsize'] = (8, 6)
mpl.rcParams['axes.grid'] = False
# Enable eager for easy t... | ptallo/financial-forecasting-api | models/univarmodel.py | univarmodel.py | py | 7,529 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "num... |
9156690869 | import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import random
from matplotlib.animation import FuncAnimation
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
def randomwalk3D(n, angle_degrees, escape_radius=100):
x, y, z = np.zeros(n), np.zeros(n), np.zeros... | shafransky93/PsudoSunSimulator | randwalk.py | randwalk.py | py | 6,660 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.radians",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": ... |
11545489040 | from logging import INFO, getLogger, StreamHandler, Formatter, DEBUG, INFO
from os import environ
from urlparse import urlparse
from gunicorn.glogging import Logger
from log4mongo.handlers import MongoHandler, MongoFormatter
# parse the MONGOLAB_URI environment variable to get the auth/db info
MONGOLAB_URI_PARSED =... | mapio/heroku-log4mongo | heroku-log4mongo/logger.py | logger.py | py | 2,096 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "urlparse.urlparse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line... |
11168036307 | #!python3
"""
Construct a mouseoverable SVG of three-party-preferred outcomes.
We'll call the three parties "blue" (x-axis), "green" (y-axis) and "red" (with R + G + B == 1).
The primary methods that you'll want to call are `get_args` and `construct_svg`.
"""
from typing import Tuple
import sys
import math
from en... | alexjago/3pp-visualiser | visualise_cpv.py | visualise_cpv.py | py | 22,052 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
... |
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