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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74667010345 | from math import sqrt, cos, sin, pi
import numpy as np
import pyvista as pv
# Affine rotation ####
#' Matrix of the affine rotation around an axis
#' @param theta angle of rotation in radians
#' @param P1,P2 the two points defining the axis of rotation
def AffineRotationMatrix(theta, P1, P2):
T = np.vstack(
... | stla/PyVistaMiscellanous | InvertedSolidMobiusStrip.py | InvertedSolidMobiusStrip.py | py | 3,809 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "numpy.vstack",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
27142738401 | from django.shortcuts import render, get_object_or_404
from .models import Animal
def index(request):
animais = Animal.objects.all()
return render(request, 'clientes/index.html', {
'animais': animais
})
def ver_animal(request, animal_id):
animal = get_object_or_404(Animal, id=animal_id)
... | LorenzoBorges/Projeto-Veterinario | clientes/views.py | views.py | py | 406 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Animal.objects.all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Animal.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.Animal",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "djang... |
38066575543 | # import the argmax function from numpy to get the index of the maximum value in an array
from numpy import argmax
# import the mnist dataset from keras, which contains 60,000 images of handwritten digits for training and 10,000 images for testing
from keras.datasets import mnist
# import the to_categorical function fr... | mohammadnr2817/digit_classifier | digit_classifier.py | digit_classifier.py | py | 11,367 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "keras.utils.to_categorical",
"line_number": 47,
"usage_type": "call"
},
{
"ap... |
37129616360 | import numpy as np
import cv2
import NeuralNetwork
import json
import os
import matplotlib.pyplot as plt
#defining the initial parameters and the learning rate
batch_size = 10
nn_hdim = 2048
learning_rate = 0.1
f1 = "relu"
f2 = "sigmoid"
threshold = 0.0001
sd_init = 0.01
sd_init_w2 = sd_init
def make_json(W1, W2, b1... | leosegre/medic_ip_project | main.py | main.py | py | 6,594 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "json.dump",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 5... |
29126825853 | #Grupo PHP
#Kevin Cevallos
#María Camila Navarro
#Joffre Ramírez
import ply.lex as lex
reserved = {
'if': 'IF',
'else': 'ELSE',
'elseif': 'ELSEIF',
#'boolean': 'BOOLEAN',
#'float': 'FLOAT',
#'string': 'STRING',
'null': 'NULL',
'array': 'ARRAY',
#'object': 'OBJECT',
'break': 'BRE... | keanceva/ProyectoLP | lexicoLP.py | lexicoLP.py | py | 6,448 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ply.lex.lex",
"line_number": 366,
"usage_type": "call"
},
{
"api_name": "ply.lex",
"line_number": 366,
"usage_type": "name"
}
] |
11539702751 | import os
import pygame
import pygame.color
from views.panelview import PanelView
class MenuView(PanelView):
def __init__(self, config, bus):
PanelView.__init__(self, config, bus)
self.fntRegText = pygame.font.Font(os.path.join(self.config.script_directory, "assets/Roboto-Regular.ttf"), 16)
... | mcecchi/OctoPiControlPanel | views/menuview.py | menuview.py | py | 2,401 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "views.panelview.PanelView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "views.panelview.PanelView.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.panelview.PanelView",
"line_number": 9,
"usage_type": "name"
},
{
... |
74367228902 | import json
from flask import Flask, render_template, request, jsonify
import requests
app = Flask(__name__)
API_KEY = '0c20320445392a19d9b2a02ae290502c'
BASE_URL = 'http://api.weatherstack.com/current'
def get_weather(city):
params = {
'access_key': API_KEY,
'query': city,
}
try:
... | ruisu666/WeatherApp-Flask | app.py | app.py | py | 2,886 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "flask.request.method... |
73923124264 | #!/usr/bin/env python3
import requests
import json
import sys
from collections import OrderedDict
def get_versions():
url = 'https://api.github.com/repos/jenkinsci/swamp-plugin/releases'
versions = set()
response = requests.get(url)
if response.status_code == 200:
response = response.json()
... | vamshikr/swamp-plugin-stats | src/jenkins.py | jenkins.py | py | 1,306 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"... |
25874083390 | #! python3
# scraper for dark souls armor
import requests
import re
import sqlite3
from bs4 import BeautifulSoup
import time
# connecting to actual database
conn = sqlite3.connect("./databases/armor.db")
# testing connection
# conn = sqlite3.connect(":memory:")
c = conn.cursor()
with conn:
c.execute("""CREAT... | Bipolarprobe/armorcalc | armorscrape.py | armorscrape.py | py | 3,289 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line... |
33779283072 | #!/usr/local/bin/python3.7
#############
# Imports #
#############
import globalvars
import modules.conf as conf
import modules.misc as misc
import modules.platform as platform
import modules.special as special
import modules.subst as subst
import configparser
import os
import shutil
import subprocess
#############... | kraileth/miniraven | miniraven.py | miniraven.py | py | 10,771 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "globalvars.OSNAME",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "globalvars.OSVERSION",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "globalvars.OSRELEASE",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_na... |
74436895785 | # Author Chaudhary Hamdan
from functools import reduce
def factors(n):
return set(reduce(list.__add__,
([i, n//i] for i in range(1, int(n**0.5) + 1) if n % i == 0)))
t = int(input())
for _ in range(t):
n,k = [int(x) for x in input().split()]
if k == 0:
print(0)
... | hamdan-codes/codechef-unrated-contests | Codingo21_CODINGO01.py | Codingo21_CODINGO01.py | py | 536 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "functools.reduce",
"line_number": 6,
"usage_type": "call"
}
] |
16968865127 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django import forms
from django.contrib.auth import get_user_model
from django.contrib.auth.forms import UserChangeForm, UserCreationForm
from django.utils.translation import ugettext_lazy as _
USERNAME_FIELD_HELP_TEXT = _(
'Required field. Leng... | infolabs/django-edw | backend/edw/admin/customer/forms.py | forms.py | py | 2,967 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 18,
... |
41774888432 | import time
import sys
sys.path.append("../")
from Utils_1 import Util
import pymysql
from lxml import etree
import requests
import http
from Utils_1.UA import User_Agent
import random
"""
数据来源：中华人民共和国商务部
来源地址：http://femhzs.mofcom.gov.cn/fecpmvc/pages/fem/CorpJWList_nav.pageNoLink.html?session=T&sp=1&sp=S+_t1... | 921016124/Spiders | module/对外投资/femhzs_mofcom_gov.py | femhzs_mofcom_gov.py | py | 5,506 | python | en | code | 0 | 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": "Utils_1.Util",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pymysql.err",
"line_numb... |
2050897159 | from openpyxl import load_workbook, Workbook
from django.core.management import BaseCommand
from django.db.utils import IntegrityError
from nomenclature.models import *
SERVICE_TYPES = [
'Not defined',
'ПРОФ',
'Лабораторное исследование',
'Коммерческий профиль',
'Услуга'
]
class Command(BaseComma... | Sin93/lab | nomenclature/management/commands/import.py | import.py | py | 9,200 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 53,
"usage_type": "call"
},
{
"... |
36315576627 | from __future__ import print_function
import sys
import json
import collections
import getopt
g_debug = False
g_indent = 4
def debug(s):
if g_debug:
print("DEBUG> " + s)
def usage(s):
sys.stderr.write("Usage: %s [-t <indent>] [-d] <[-f <json file>] | txt>\n"
% s)
sys.stderr... | idorax/vCodeHub | sharpsword/python/jsonfmt.py | jsonfmt.py | py | 1,840 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.stderr.write",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"l... |
35936751903 | import covasim as cv
import pandas as pd
import sciris as sc
import pylab as pl
import numpy as np
from matplotlib import ticker
import datetime as dt
import matplotlib.patches as patches
import seaborn as sns
import matplotlib as mpl
from matplotlib.colors import LogNorm
# Filepaths
resultsfolder = 'sweeps'
sensfolde... | optimamodel/covid_nsw | 1_submission/plot_nsw_sweeps.py | plot_nsw_sweeps.py | py | 13,309 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sciris.tic",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pylab.rcParams",
"line_numbe... |
17793223864 | from dgl.nn.pytorch.conv import SAGEConv
import torch
import torch.nn as nn
import torch.nn.functional as F
import time
import numpy as np
from dgl import DGLGraph
from dgl.data import citation_graph as citegrh
import networkx as nx
class GraphSAGE(nn.Module):
def __init__(self,
in_feats,
... | Gabtakt/GNN-lab | GraphSAGE.py | GraphSAGE.py | py | 2,428 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
42222604118 | """ new visualizations 2020
Revision ID: 437ffc36a821
Revises: d73f1a3bccf3
Create Date: 2020-07-16 19:48:01.228630
"""
from alembic import op
from sqlalchemy import String, Integer
from sqlalchemy.sql import table, column, text
from caipirinha.migration_utils import get_enable_disable_fk_command
# revision identi... | eubr-bigsea/caipirinha | migrations/versions/437ffc36a821_new_visualizations_2020.py | 437ffc36a821_new_visualizations_2020.py | py | 2,171 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sqlalchemy.sql.table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.column",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "sql... |
27702917459 | from re import L
from flask import Flask
from flask import jsonify
from flask import request
from flask_restful import Api, Resource, reqparse
import json
import sys
from get_details import get_name
from process_swipe import process_swipe
import requests
import random
from eventlet import wsgi
import eventlet
from redi... | mbruty/COMP2003-2020-O | recommender/main.py | main.py | py | 5,688 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "redis_instance.get_instance",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 30,
"usage_type": "call"
},
{
... |
28891383601 | """Initializes and checks the environment needed to run pytype."""
import logging
import sys
from typing import List
from pytype.imports import typeshed
from pytype.platform_utils import path_utils
from pytype.tools import runner
def check_pytype_or_die():
if not runner.can_run("pytype", "-h"):
logging.critic... | google/pytype | pytype/tools/environment.py | environment.py | py | 3,242 | python | en | code | 4,405 | github-code | 36 | [
{
"api_name": "pytype.tools.runner.can_run",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytype.tools.runner",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.critical",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.... |
42469623972 | import os
import morfeusz2
import pandas as pd
from sklearn.metrics import classification_report
def lemmatize_text(text):
if isinstance(text, str):
text = text.split()
morf = morfeusz2.Morfeusz(expand_dag=True, expand_tags=True)
text_new = []
for word in text:
w = morf.analyse(word)[0... | kingagla/reviews_classification | scripts/utils.py | utils.py | py | 1,049 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "morfeusz2.Morfeusz",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"... |
74779852584 | from unittest import TestCase
from collections import namedtuple
from P2_Sorting.HeapSort.heap_sort import heap_sort
class Task(object):
def __init__(self, deadline, penalty):
assert isinstance(deadline, int) and deadline > 0
assert penalty > 0
self._penalty = penalty
self._deadli... | GarfieldJiang/CLRS | P4_AdvancedTech/Greedy/task_scheduling_with_matroid.py | task_scheduling_with_matroid.py | py | 4,191 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "P2_Sorting.HeapSort.heap_sort.heap_sort",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "P2_Sorting.HeapSort.heap_sort.heap_sort",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 90,
"usage_type": "nam... |
70942499944 | from pyspark.sql import SparkSession
from pyspark.sql.functions import col
import boto3
session = boto3.Session(profile_name="***_AdministratorAccess",region_name="us-east-1")
s3 = boto3.resource('s3')
# Inicialize a sessão do Spark
spark = SparkSession.builder.getOrCreate()
# Leia os arquivos Parquet e crie os dataf... | nataliasguimaraes/compassuol | sprint_09/desafio_etl/processed_trusted/proc_trusted.py | proc_trusted.py | py | 2,573 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "boto3.Session",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name":... |
71967566185 | import subprocess
import pytest
from pipfile2req.requirements import requirement_from_pipfile
def compare_requirements(left, right):
return len(set(left.splitlines()) - set(right.splitlines())) == 0
@pytest.mark.parametrize(
"command,golden_file",
[
("pipfile2req -p tests", "tests/requirements.... | frostming/pipfile-requirements | test_pipfile_requirements.py | test_pipfile_requirements.py | py | 2,499 | python | en | code | 49 | github-code | 36 | [
{
"api_name": "subprocess.Popen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.... |
75071109224 | import requests
import pandas as pd
import numpy as np
import seaborn as sns
from bs4 import BeautifulSoup
import warnings
import nltk
#import surprise
import scipy as sp
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.feature_extraction.text import CountVectorizer
from nltk.corpus import stopword... | Liixxn/MovieMender | generos.py | generos.py | py | 7,990 | python | es | code | 1 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pandas.read_c... |
17792225774 | from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import os
import re
from builtins import open
from pants.backend.codegen.antlr.java.java_antlr_library import JavaAntlrLibrary
from pants.backend.jvm.targets.java_library import JavaLibrary
from pants.backend.jvm.tasks.n... | fakeNetflix/twitter-repo-pants | src/python/pants/backend/codegen/antlr/java/antlr_java_gen.py | antlr_java_gen.py | py | 6,475 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pants.java.jar.jar_dependency.JarDependency",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pants.java.jar.jar_dependency.JarDependency",
"line_number": 26,
"usage_typ... |
70616752744 | import constants
from flask import jsonify, make_response
def getData(request):
body = request.json
outlook = body['outlook']
temp = body['temp']
humidity = body['humidity']
wind = body['wind']
data = [
constants.OUTLOOK_VALUES[outlook],
constants.TEMP_VALUES[temp],
con... | mgstabrani/play-tennis-model-service-python | general.py | general.py | py | 675 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "constants.OUTLOOK_VALUES",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "constants.TEMP_VALUES",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "constants.HUMIDITY_VALUES",
"line_number": 14,
"usage_type": "attribute"
},
... |
32203986950 | import streamlit as st
from recipesnet.api import RecipesApi
from recipesnet.st_helpers import recip_ingr_widget
st.set_page_config("Recipes net", layout="wide")
st.title("Recipes similarity")
st.write(
"""
In this section you can search what recipes are similar to an specific one.
"""
)
with st.spinner("Lo... | jmorgadov/complex-recipes-net | recipesnet/pages/Similarity.py | Similarity.py | py | 1,054 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.spin... |
75084616422 | """
firebase.py
This module caches video information in Firebase using the user's id as the key.
Cached video entries include duration, title, channel name, category, and timestamp.
The timestamp acts as a TTL of 24 hours, and entries older than the TTL are updated by requesting
the video information from the YouTube ... | ractodev/youtube-wrapped-v1 | utils/firebase.py | firebase.py | py | 4,392 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
29073464319 | import csv
import datetime
import pathlib
from typing import Generator
import click
from case_rate._types import Cases, CaseTesting, PathLike
from case_rate.sources._utilities import download_file
from case_rate.storage import InputSource
def _to_date(date: str) -> datetime.date:
'''Converts a date string into ... | richengguy/case-rate | src/case_rate/sources/public_health_agency_canada.py | public_health_agency_canada.py | py | 4,097 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "... |
73387100264 | import time
from dataclasses import dataclass
from transmitter import sendEmail
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.firefox.options import Options as FFOptions
from selenium.webdriver.common.... | ghazis/auto_flights | backend/flight_scraper/AutoWeb.py | AutoWeb.py | py | 3,652 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 23,
"usa... |
7431120432 | from sqlalchemy import create_engine
from constants import get_nutrient_idx
def load_cache():
db = create_engine('sqlite:///usda.sql3')
cache = {}
query = "SELECT food.id,food.long_desc,food_group.name,nutrient.tagname,nutrition.amount,weight.gm_weight,weight.gm_weight*nutrition.amount/100.0 as gm_amount,wei... | sidowsky/sr_takehome | loaders.py | loaders.py | py | 1,169 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "constants.get_nutrient_idx",
"line_number": 14,
"usage_type": "call"
}
] |
31095405505 | #You'r a robot?
from random import randint, randrange
from PIL import Image, ImageDraw, ImageFont
import os
import textwrap
class CreateCaptcha:
def __init__(self):
self.valido = False
self.l = []
self.width = 300
self.height = 150
self.font_size = 60 # Tamanho ... | Jv131103/ProjectCaptcha | cp.py | cp.py | py | 2,968 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "random.randrange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randint",
"... |
1395161242 | #!/usr/bin/env python
# coding: utf-8
# 1. Compare and contrast the float and Decimal classes' benefits and drawbacks.
#
# floats are faster and more memory-efficient, suitable for a wide range of values, but can have precision and rounding issues. Decimals provide precise decimal arithmetic, accurate representatio... | Rajn013/assignment-020 | Untitled83.py | Untitled83.py | py | 3,685 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "decimal.Decimal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
... |
3974726049 | import json
import os
from datetime import datetime
from sys import exit as x
from typing import List
import cv2
import numpy as np
import pandas as pd
import printj # pip install printj
from jaitool.inference import D2Inferer as inferer
from jaitool.inference.models.hook import draw_info_box, draw_inference_on_hook2... | Jitesh17/jaitool | jaitool/inference/models/hook/hook.py | hook.py | py | 25,575 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "annotation_utils.coco.structs.COCO_Dataset.load_from_path",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "annotation_utils.coco.structs.COCO_Dataset",
"line_number": 50,
"us... |
10125696279 | #!/bin/bash/env python
# coding=UTF-8
# by Tarcisio marinho
# github.com/tarcisio-marinho
import requests,json,os
def minha_localizacao(frase):
url = 'http://freegeoip.net/json/'
try:
requisicao = requests.get('http://freegeoip.net/json/')
dicionario = json.loads(requisicao.text)
if(fra... | tarcisio-marinho/Eliza | modulos/mapa.py | mapa.py | py | 2,562 | python | pt | code | 11 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 20,
... |
19494554547 | from jinja2 import Environment, FileSystemLoader, select_autoescape
env = Environment(
loader=FileSystemLoader('templates'),
autoescape=select_autoescape(['html', 'xml'])
)
def render_run_plan(workout, routes, sunrise_sunset, forecast, dress):
template = env.get_template('run_plan.html')
return templ... | csickelco/runforfun | runforfun/util/template_engine.py | template_engine.py | py | 452 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "jinja2.Environment",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "jinja2.select_autoescape",
"line_number": 5,
"usage_type": "call"
}
] |
42482969055 | from __future__ import print_function
import logging
from optparse import OptionParser
import os
import re
import subprocess
import sys
import tempfile
from threading import Thread, Lock
import time
if sys.version < '3':
import Queue
else:
import queue as Queue
# Append `SPARK_HOME/dev` to the Python path so ... | TIBCOSoftware/snappydata | python/run-snappy-tests.py | run-snappy-tests.py | py | 7,072 | python | en | code | 1,041 | github-code | 36 | [
{
"api_name": "sys.version",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"li... |
973355858 | from pathlib import Path
import unittest
from lispy import reader
from lispy import rep as step6_file
from lispy.env import Env
from lispy.mal_types import MalList, MalAtom, MalInt
from lispy.mal_types import MalSyntaxException, MalString
class TestStep6(unittest.TestCase):
def setUp(self) -> None:
self.... | rectalogic/lispy | tests/test_step6.py | test_step6.py | py | 3,164 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "lispy.rep.init_repl_env",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lispy.rep",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "lispy.mal_ty... |
15724939255 | import ast
import os
# Third party imports
from setuptools import find_packages, setup
HERE = os.path.abspath(os.path.dirname(__file__))
def get_version(module='spyder_reports'):
"""Get version."""
with open(os.path.join(HERE, module, '_version.py'), 'r') as f:
data = f.read()
lines = data.split... | spyder-ide/spyder-reports | setup.py | setup.py | py | 1,820 | python | en | code | 72 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
21091300951 | import streamlit as st
import scraper
stock = ['AAPL', 'AMZN', 'INTC', 'GOOG', 'CSCO']
search_btn = False
if st.sidebar.checkbox("Deseja procurar alguma ação?"):
symbol = st.sidebar.text_input("Dígite o símbolo da ação desejada")
if len(symbol) == 4:
new_company_info = scraper.fetch_info(symbol)
... | rodrigoaqueiroz/laraia-yahoo-finance | main.py | main.py | py | 1,440 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.sidebar.checkbox",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "streamlit.sidebar.text_input",
"line_number": 10,
"usage_type": "call"
},
{
"api_... |
32331250687 | #!/usr/bin/python3
"""
Script that takes in a letter and sends a POST request
to http://0.0.0.0:5000/search_user with the letter as a
parameter.
"""
from sys import argv
import requests
if __name__ == "__main__":
if len(argv) < 2:
q = ""
else:
q = argv[1]
values = {'q': q}
url = "ht... | ammartica/holbertonschool-higher_level_programming | 0x11-python-network_1/8-json_api.py | 8-json_api.py | py | 617 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 21,
"usage_type": "call"
}
] |
15772164828 | from django.shortcuts import render,redirect
from axf.models import SlideShow, Cart,MainDescription, Product,CategorieGroup,ChildGroup,User,Address,Order
from django.contrib.auth import logout
import random
from axf.sms import send_sms
from django.http import JsonResponse
import uuid
# Create your views here.
def hom... | qwewangjian/Xgd | axf/views.py | views.py | py | 8,953 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "axf.models.SlideShow.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "axf.models.SlideShow.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "axf.models.SlideShow",
"line_number": 12,
"usage_type": "name"
},
... |
17878539903 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Helper functions for the workflows"""
from distutils.version import StrictVersion
from builtins import range
def _tofloat(inlist):
if isinstance(inlist, (list, tuple)):
return [float(el) fo... | pGarciaS/PREEMACS | scripts/mriqc/mriqc/workflows/utils.py | utils.py | py | 5,355 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "nibabel.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nipype.interfaces.base.isdefined",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nipype.interfaces.base.isdefined",
"line_number": 27,
"usage_type": "call"
},
{
"ap... |
35042458812 | import pickle
import argparse
import pickle
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--fasta', help='fasta input file')
args = parser.parse_args()
junction_id_to_seq = {}
with open(args.fasta, "r") as f:
while True:
line1 = f.readline()
if not line1:
break
... | salzmanlab-admin/DEEPEST-Fusion | reference_files/create_pickle_file.py | create_pickle_file.py | py | 471 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 21,
"usage_type": "call"
}
] |
3735254268 | #!/usr/bin/env python3
#
# get_ad_right_matrix.py
# Export AD User -> Group Matrix to Excel
# Written by Maximilian Thoma 2021
#
import json
import re
import ldap3
import pandas as pd
########################################################################################################################
# NOTE:
# --... | lanbugs/get_ad_right_matrix | get_ad_right_matrix.py | get_ad_right_matrix.py | py | 4,692 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "ldap3.Server",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "ldap3.Connection",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_numbe... |
25108240229 | from zigzag.classes.io.onnx.parser import Parser
from zigzag.classes.io.onnx.utils import get_node_input_output_dimension_shapes
from zigzag.classes.workload.layer_node import LayerNode
import logging
logger = logging.getLogger(__name__)
class SoftmaxParser(Parser):
"""Parser for ONNX Softmax nodes into... | wangxdgg/zigzag_2 | zigzag/classes/io/onnx/softmax2.py | softmax2.py | py | 3,148 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "zigzag.classes.io.onnx.parser.Parser",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "zigzag.classes.io.onnx.utils.get_node_input_output_dimension_shapes",
"line_number": 50,... |
4978717366 | #!/usr/bin/python3
from PyQt5 import QtCore
from PyQt5.QtCore import QSize, QUrl
from PyQt5.QtMultimedia import QMediaContent, QMediaPlayer
from PyQt5.QtMultimediaWidgets import QVideoWidget
from PyQt5.QtWidgets import *
from PyQt5.QtWidgets import QMainWindow,QWidget, QPushButton
from PyQt5.QtGui import QIcon, QPixma... | SalomanYu/StudyWithMe | main.py | main.py | py | 15,163 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWin... |
28853226017 | import bpy
from bpy.types import Menu
brush_icons = {}
def create_icons():
global brush_icons
icons_directory = bpy.utils.system_resource('DATAFILES', path="icons")
brushes = [
"border_mask",
"border_hide",
"box_trim",
"line_project",
]
import os
for brush in... | jmobley0429/my_pie_menus | menus/sculpt_mode_pies.py | sculpt_mode_pies.py | py | 3,776 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "bpy.utils.system_resource",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bpy.utils",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "bpy.app.icons.new_triangles_from_file",
"line_number": 22,
"usage_type": "call"
},
{
"ap... |
7696440509 | from django.conf.urls import patterns, include, url
from .views import *
urlpatterns = patterns('',
url(r'^reservar/(?P<id>\d+)/$',Reservrlibros),
url(r'^consultaLibos/$',ConsultaLibros.as_view(), name='ConsultaLibros'),
url(r'^reservaExitosa/$',MostrarReservas),
#url(r'^Verreservas/$',Verreservas),
#url(r'^busq... | juanjavierlimachi/Biblioteca | Biblioteca/Biblioteca/apps/estudiantes/urls.py | urls.py | py | 426 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "djan... |
33136179454 | from telebot import types
import telebot, wikipedia, re
from config import *
from base_bot import bot
# Test-bot
IDLE = 0
LISTENING_TO_COMMANDS = 2
bot_state = IDLE
@bot.message_handler(commands=['test'])
def start_message(message):
markup = telebot.types.InlineKeyboardMarkup()
markup.add(telebot.types.Inline... | TheGustOff/telegram_bot_gust_MUIV | test_bot.py | test_bot.py | py | 1,635 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telebot.types.InlineKeyboardMarkup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "telebot.types",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "telebot.types.InlineKeyboardButton",
"line_number": 14,
"usage_type": "call"
},
... |
69822409383 | # -*- coding: utf-8 -*-
"""Subclass of ``BasisSet`` designed to represent an OpenMX configuration."""
import collections
import json
import pathlib
from typing import Sequence
from importlib_resources import files
from aiida_basis.data.basis import PaoData
from ...metadata import openmx as openmx_metadata
from ..mixin... | azadoks/aiida-basis | aiida_basis/groups/set/openmx.py | openmx.py | py | 8,289 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "mixins.RecommendedOrbitalConfigurationMixin",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "basis.BasisSet",
"line_number": 19,
"usage_type": "name"
},
{
... |
72692974183 | from ast import literal_eval
import pymongo
# Handles all interactions with the database
class DbManager:
database = None
def __init__(self):
# Client instantiation with the MongoDB Client
self.client = pymongo.MongoClient(
"mongodb+srv://gdp:gdp@propaganda.m00hm.mongodb.net/Tril... | madeleinemvis/original_gdp | BackEnd/functions/dbmanager.py | dbmanager.py | py | 5,836 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pymongo.errors",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pymongo.errors",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pymongo.e... |
1141389329 | from werkzeug.security import check_password_hash
from db.SedmDb import SedmDB
import datetime
import os
import json
import re
import pandas as pd
import numpy as np
import requests
import glob
import time
from decimal import Decimal
from bokeh.io import curdoc
from bokeh.layouts import row, column
from bokeh.models im... | scizen9/sedmpy | web/model.py | model.py | py | 117,058 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "pandas.options",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pandas.set_option",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scheduler.scheduler.ScheduleNight",
"line_number": 72,
"usage_type": "call"
},
{
"api_name"... |
18039525483 | from keras import layers,models,optimizers,losses
from keras.datasets import cifar10
import tensorflow as tf
import pandas as pd
import matplotlib.pyplot as plt
(X_train,y_train),(X_test,y_test)=cifar10.load_data()
print(X_train.shape)
print(y_train.shape)
HIDDEN_SIZE=256#要有下划线
NUM_CLASSES=10#要有下划线避免语法... | westbchampion/Python_to_Kaggle | 手写卷积神经网络_test.py | 手写卷积神经网络_test.py | py | 1,540 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "keras.datasets.cifar10.load_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.datasets.cifar10",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "keras.models.Sequential",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
7210833797 | # -*- coding: utf-8 -*-
from odoo import api, models, fields, registry
import odoo
from odoo.tools import DEFAULT_SERVER_DATETIME_FORMAT
import json
import logging
_logger = logging.getLogger(__name__)
class pos_call_log(models.Model):
_rec_name = "call_model"
_name = "pos.call.log"
_description = "Log d... | mahmohammed16881688/odoo_12 | addons/pos_retail/models/pos/pos_call_log.py | pos_call_log.py | py | 3,733 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Integ... |
74936854824 | from loguru import logger
import configparser as cfg
import os
def logger_handler(msg: str, mode=2) -> None:
"""
Handles logging of messages
mode: 0 = debug, 1 = info, 2 = error (default)
"""
# construct logger
_log_constructor(mode)
# log message
if mode == 0:
logger.excepti... | Anton0Lashov/dng_extractor | _logger.py | _logger.py | py | 1,503 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "loguru.logger.exception",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "loguru.logger.info",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "loguru.logge... |
19634743961 | """
Usage: negotiator-cli [OPTIONS] GUEST_UNIX_SOCKET
Communicate from a KVM/QEMU host system with running guest systems using a
guest agent daemon running inside the guests.
Supported options:
-c, --list-commands
List the commands that the guest exposes to its host.
-e, --execute=COMMAND
Execute the given ... | htrc/HTRC-DataCapsules | backend/tools/negotiator-cli/negotiator-cli.py | negotiator-cli.py | py | 5,639 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "negotiator_common.NegotiatorInterface",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": ... |
5644011022 | import agentpy as ap
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.patches as mpatches
import seaborn as sns
def status_stackplot(data, ax):
"""Stackplot of people's condition over time."""
x = data.index.get_level_values("t")
y = [data[var] for v... | jacob-evarts/energyshed-simulation | src/plots.py | plots.py | py | 3,649 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.polyfit",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.polyfit",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors.ListedColor... |
43965888115 | import ast
from django.db.models import Q
from django.db import transaction
from django.core.exceptions import ValidationError as DjangoValidationError
from rest_framework.permissions import IsAuthenticated
from rest_framework.exceptions import ValidationError
from rest_framework.generics import ListAPIView
from commo... | BharatPlutus/python-django-sample | services/views/service.py | service.py | py | 16,111 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "utils.views.service.ServiceListCreateMixin",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "services.models.service.Service.objects.all",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "services.models.service.Service.objects",
"line_number... |
26921480455 | from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium import webdriver
import time
'''
제가 실행하면 보이나요
python3 test.py
쳐보실래요??
저만 실행 되나... | sinde530/python | interpark/test.py | test.py | py | 4,841 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 28,
"usage_type": "call"
},
{
"api... |
29754454026 | import sys
from PyQt6 import QtCore, QtGui, QtWidgets
from CurConUi import Ui_MainWindow
from currency_converter import CurrencyConverter
class CurrencyConv(QtWidgets.QMainWindow):
def __init__(self):
super(CurrencyConv, self).__init__()
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
... | AdirtKa/CurrencyConverter | main.py | main.py | py | 1,476 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt6.QtWidgets.QMainWindow",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt6.QtWidgets",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "CurConUi.Ui_MainWindow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": ... |
18065190929 | from __future__ import absolute_import
import logging
import numpy as np
from .import utils
from .import sampling
from sklearn.preprocessing import MultiLabelBinarizer, LabelBinarizer
from sklearn.model_selection import StratifiedShuffleSplit
logger = logging.getLogger(__name__)
class Dataset(object):
def _... | raghakot/keras-text | keras_text/data.py | data.py | py | 4,007 | python | en | code | 422 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.Multi... |
37538329416 | import scrapy
class CjSpider(scrapy.Spider):
name = 'cj'
# allowed_domains = ['caijing.com']
start_urls = ['https://www.dyxhw.com/']
def parse(self, response):
typess = response.xpath('//div[@class="nav clearfix"]/a[@class="j_ch_nav _block_news_menu"]/@href').getall()
for one_type in ... | ykallan/caijingguancha | caijingguancha/caijingguancha/spiders/cj.py | cj.py | py | 1,497 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
... |
24011968546 | # --------------------------------------------------------
# Licensed under The MIT License [see LICENSE for details]
# --------------------------------------------------------
import numpy as np
import os
import sys
from transforms3d.quaternions import *
from transforms3d.euler import *
from transforms3d.axangles imp... | liruiw/HCG | core/utils.py | utils.py | py | 48,148 | python | en | code | 13 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "pybullet_utils.bullet_client.BulletClient",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "pyb... |
6043631950 | from .dbtest import (
DbTest,
dbconnect
)
import os
from psycopg2.extras import (
RealDictCursor,
RealDictRow
)
PATH_TO_SQL_DIR = os.path.abspath(
os.path.join(
os.path.dirname(__file__),
"..",
"sql"
)
)
class TestExample(DbTest):
@dbconnect
def test_select_or... | HaithamKhedrSalem/postgis-practices-solution | test/test_example.py | test_example.py | py | 6,115 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
14183098505 | import pygame
import config
import math
from unit import Unit
from unit_move import UnitMove
class Enemy(Unit):
def __init__(self, x, y):
super().__init__(x, y)
self.start_position = [x, y]
self.time_till_damage = 0
self.look = [] # [center_x, center_y, rad... | EdySima/The-Lost-Penguin | enemy.py | enemy.py | py | 4,317 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unit.Unit",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "math.hypot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "unit_move.UnitMove.LEFT",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "unit_move.UnitMove",... |
17354358336 | import typing as t
import numpy as np
from emo_utils import convert_to_one_hot
from emo_utils import predict
from emo_utils import softmax
from tensorflow.keras.layers import LSTM
from tensorflow.keras.layers import Activation
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Dropout
from t... | HarryMWinters/ML_Coursework | Course 6, Sequence Models/Week 2/assignment_2/Emoji_v3a.py | Emoji_v3a.py | py | 8,499 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Any",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"li... |
9910221737 | import subprocess
import threading
import io
from fcntl import fcntl, F_GETFL, F_SETFL
from os import O_NONBLOCK
import sys
#from flask_socketio import SocketIO
command = "pintos -v -k --qemu --disk cs162proj.dsk -- -q run shell"
class Shell():
def set_flags(self, pipe):
flags = fcntl(pipe, F_GETFL)
... | dietd/webpintos | shell.py | shell.py | py | 1,345 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fcntl.fcntl",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fcntl.F_GETFL",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "fcntl.fcntl",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fcntl.F_SETFL",
"line_n... |
38488846369 | #!/usr/bin/env python3
#
# 10. Bayesian History Matching technique (advanced use)
#
import os
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import json
from GPErks.constants import DEFAULT_TMP_OUTFILE_DIR
from GPErks.perks.history_matching import Wave
from GPErks.serialization.labels imp... | stelong/GPErks | examples/example_10.py | example_10.py | py | 9,883 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "GPErks.log.logger.get_logger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "GPErks.utils.random.set_seed",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "GPErks.serialization.path.posix_path",
"line_number": 38,
"usage_type": "call"
... |
41191349576 | import sys
sys.path.append('../../preprocess')
from make_pca import load_landmarks
import numpy as np
import tensorflow as tf
from pfld import predict_landmarks as pfld_predict_landmarks
from pfld_custom import predict_landmarks as pfld_custom_predict_landmarks
from skimage.color import rgb2gray
import cv2
import dlib
... | vuamitom/shapenet-tensorflow | model/pfld/eval_pfld.py | eval_pfld.py | py | 11,142 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.use",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "prepare_data.IMAGE_SIZE",
... |
38031979552 | import click
from .core import NmapReportParser, NmapReport, CSVFileParser, JsonOutput, BateaModel, MatrixOutput
from defusedxml import ElementTree
from xml.etree.ElementTree import ParseError
from batea import build_report
import warnings
warnings.filterwarnings('ignore')
@click.command(context_settings=dict(help_op... | delvelabs/batea | batea/__main__.py | __main__.py | py | 3,254 | python | en | code | 287 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "batea.build_report",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "core.CSVFileParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "core.Nma... |
13823383640 | import numpy as np
import matplotlib.pyplot as plt
from shapely import geometry
from numpy.linalg import norm
from random import *
import pickle
def reach_set_calc(x_val, reach_range):
"""
:type x_val: list
:type reach_range: float
:return: reach_set: Polygon
Description: With given x and reach_ra... | DRK98519/aCBC | game_play.py | game_play.py | py | 36,021 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "shapely.geometry.Point",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "shapely.geometry",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "shapely.geometry.Point",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "shapel... |
35396451951 | #!/usr/bin/env python3
# coding=utf-8
'''MDMForm 系统配置主窗口'''
import os
import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import QPalette, QPixmap, QIcon
from PyQt5.QtWidgets import QMainWindow,QMessageBox,QTableWidgetItem,QFileDialog
from PyQt5 import QtSql
from PyQt5.QtSql import QSqlQuery
f... | LeeZhang1979/UniTools | src/MDMForm.py | MDMForm.py | py | 19,446 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath"... |
32041540540 | import torch
import drjit as dr
import mitsuba as mi
import sys,os,json
import importlib
sys.path.append(".")
import cv2
import numpy as np
if torch.cuda.is_available():
device = torch.device("cuda:0")
torch.cuda.set_device(device)
else:
device = torch.device("cpu")
from utils.logger import Logger
from util... | jkxing/EPSM_Mitsuba3 | EPSM/optim.py | optim.py | py | 5,566 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"... |
4517993066 | import os
from django.contrib.auth.views import redirect_to_login
from chat.models import *
from django.db.models.query_utils import Q
from notification.models import *
from user.models import *
from post.models import *
from post.forms import *
from group.models import *
from django.shortcuts import redirect, render
f... | longnp030/SocialNetwork-Py | tomo/views.py | views.py | py | 6,784 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.db.models.query_utils.Q",
"line_number": 26,
"usage_type": "call"
},
{
"api_... |
41744416176 | from st7920 import ST7920
from random import randint
from time import sleep
import curses
import collections
SCALE = 4
WIDTH = 128/SCALE
HEIGHT = 64/SCALE
score = 0
alive = True
s = ST7920()
def newfoodpos():
return [randint(0,WIDTH-1), randint(0,HEIGHT-1)]
def update():
global headpos, foodpo... | JMW95/RaspiLCDGames | snake.py | snake.py | py | 2,499 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "st7920.ST7920",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "curses.KEY_RIGHT",
"line_... |
42243521560 | import numpy as np
import matplotlib.pyplot as plt
import bead_util as bu
import scipy.signal as ss
path = "/data/20180927/bead1/spinning/50s_monitor_5min_gaps"
files = bu.find_all_fnames(path)
index = 0
fdrive = 1210.7
bw = 0.5
bwp = 5.
Ns = 250000
Fs = 5000.
k = 1e-13*(2.*np.pi*370.)**2
df = bu.DataFile()
df.load(f... | charlesblakemore/opt_lev_analysis | scripts/spinning/old_scripts/inst_amp_phase_plot.py | inst_amp_phase_plot.py | py | 1,852 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "bead_util.find_all_fnames",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "bead_util.DataFile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.signa... |
17285744603 | from abc import ABCMeta, abstractmethod
import subprocess
import io
from logging import Logger
class Action(metaclass=ABCMeta):
def __init__(self, action_id, job, **kwargs):
self.id = action_id
self.job = job
@abstractmethod
def to_text(self, logger: Logger) -> str:
pass
class T... | SuperH-0630/HelloEmail | action.py | action.py | py | 1,587 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "abc.ABCMeta",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "logging.Logger",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.Logger",
"li... |
7619783575 | import time
from pathlib import Path
import torch
import torch.nn as nn
from torch.optim import RMSprop, Adam
from torch.optim.lr_scheduler import ReduceLROnPlateau
from .evaluate import evaluate
from .logger import print_logger
def train_net(net,
dataloaders,
device,
resul... | kimjh0107/2022_Rayence_Medical_Image_processing | src/train.py | train.py | py | 3,042 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logger.print_logger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.optim.RMSprop",
... |
41673811681 | import os
import shutil
from object2urdf import ObjectUrdfBuilder
from cleanup_tools import get_immediate_subdirectories
import argparse
import shapenet
from glob import glob
import point_cloud_utils as pcu
import numpy as np
import trimesh
def as_mesh(scene_or_mesh):
# Utils function that returns a mesh from a t... | dexterousrobot/obj_urdfs | obj_urdfs/build_shapenet_urdfs.py | build_shapenet_urdfs.py | py | 4,788 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "trimesh.Scene",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "trimesh.util.concatenate",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "trimesh.util",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "trimesh... |
73915422185 | from flask import Flask, request
import base64
from PIL import Image
from preprocess4 import Pr1
from preprocess2 import test_transforms
import torch
from torchvision import models
import torch.nn as nn
import numpy as np
import cv2
def get_net():
finetune_net = nn.Sequential()
finetune_net.features = models.r... | Moezwalha/Alphabet-SL_Prediction_Service | app.py | app.py | py | 2,494 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet18",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torchvision.... |
24888015371 | from typing import Iterable
import torch
import numpy as np
from scipy.spatial.distance import cdist
from tqdm import tqdm
import ot
def cost_matrix(
data: np.ndarray, cost: str = 'correlation',
normalize_features: bool = True) -> np.ndarray:
"""Compute an empirical ground cost matrix, i.e. a pairwise distance m... | cantinilab/OT-scOmics | src/otscomics/__init__.py | __init__.py | py | 5,668 | python | en | code | 31 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "scipy.spatial.distance.cdist",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance.cdist",
"line_number": 31,
"usage_type": "call"
},
{
"api_n... |
36168624616 | from enum import Enum, auto
from pathlib import Path
import numpy as np
import pandas as pd
import pendulum
import pytest
from whatsappnalysis.lib.custom_types import ChatDataset, Schema
from whatsappnalysis.lib.data_loader import WhatsappLoader
class TestWhatsappLoader:
""" Tests for ChatDataset """
test_c... | lbartell/whatsappnalysis | tests/test_lib/test_data_loader/test_whatsapp_loader.py | test_whatsapp_loader.py | py | 3,175 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pendulum.parse",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pendu... |
32505694658 | import streamlit as st
# import pandas as pd
import numpy as np
import pydeck as pdk
import plotly.express as px
from ParserXML import *
from ConverterToHTML import *
from VisualTools import *
__all__ = [st, pd, np, pdk, px]
DATE_TIME = "date/time"
local_path = ""
file_name = "Datasets/50k_cleaned_from_xml.csv"
DATA_... | StopFuture/AnalyzerXML | AnalyzerXML.py | AnalyzerXML.py | py | 4,533 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "plotly.express",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "streamlit.title",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown"... |
32568853073 | # -*- coding: utf-8 -*-
from logbook import Logger
import numpy as np
import pandas as pd
from zipline.data.bundles import register
from zipline.utils.calendars import get_calendar
EXPORT_FOLDER = '/mnt/data/earnings_calls/export/'
log = Logger('zipline_ingest.py')
def bundle_hf_data(price_file, debug = False)... | olgsfrt/earningscall | backtest/zipline_ingest.py | zipline_ingest.py | py | 4,373 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logbook.Logger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_hdf",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.Timedelta",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "zipline.utils.calenda... |
3600506632 | import cv2
img = cv2.imread("sample1.png")
cv2.imwrite("sample2.png", img)
img2 = cv2.imread("sample2.png")
grayImg = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
cv2.imshow("Gray", grayImg)
cv2.waitKey(0)
cv2.destroyAllWindows()
| rohith274/AiGuide | AI/Day1/ReadImage.py | ReadImage.py | py | 226 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 6,
... |
36830649760 | # To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %% [markdown]
# # SciKitLearn 机器学习库
# - VScode中, `ctrl + /` 快速注释代码
# %%
# Sklearn 通用的学习模式
# 案例1. 本例鸢尾花数据集，使用KNN模块实现分类
import numpy as np
from sklearn import datasets
# from sklearn.cross_validation import train_test_split # cross... | oca-john/Python3-xi | Python3-ipynb/py3.sklearn.py | py3.sklearn.py | py | 7,841 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 27,
"usage_type": "call"
},
{
... |
5515751660 | import yaml
class Config:
def __init__(self):
self.load_model_epochs = None
self.debug = None
self.n_epochs = None
self.load_g_model_score = None
self.load_d_model_score = None
self.model_no = None
self.batch_size = None
self.n_split = None
se... | spider-man-tm/pix2pix_gray_to_color | config/config.py | config.py | py | 2,313 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "yaml.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "yaml.SafeLoader",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "yaml.SafeLoader",
"line_... |
41245539467 | from pynvml import *
import logging
from datasets import load_dataset
from datasets import ClassLabel
from transformers import LukeTokenizer, LukeModel, LukeForEntityPairClassification, TrainingArguments, Trainer
import torch
from tqdm import trange
# construir função que converta spans de relativos a frase para globa... | joseMalaquias/tese | DOCRED/classic_obtainJSON.py | classic_obtainJSON.py | py | 17,283 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.utils",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 168,
"usage_type": "call"
},
{
"api_name": "random.choice",
"lin... |
4393844283 | # 클레어와 물약
# r1 x
# https://www.acmicpc.net/problem/20119
# https://welog.tistory.com/256
import sys
from collections import deque
input = sys.stdin.readline
n, m = map(int, input().split())
graph = [set() for _ in range(n + 1)]
recipe_dict = {}
for _ in range(m):
data = list(map(int, input().split()))
if d... | sjjam/Algorithm-Python | baekjoon/20119.py | 20119.py | py | 1,292 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 35,
"usage_type": "call"
}
] |
18347648906 | import pandas as pd
import numpy as np
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import plotly.io as pio
from matplotlib import cm
# set defaults for charts
pio.templates.default = "plotly_white"
@np.vectorize
def calculate_tax(income):
brackets = [9950, 40525, 86375, 164925, 209... | robert-sturrock/financial-projections | financial_projections.py | financial_projections.py | py | 5,578 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "plotly.io.templates",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "plotly.io",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.vectorize",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFram... |
10731341714 | from os.path import isfile
import json
from db import normalize
from itertools import product
class Settings:
def __init__(self, user_id):
self.user_id = user_id
self.search = {}
self.match = []
@staticmethod
def from_dict(settings: dict) -> tuple:
return (
se... | rychanya/vkinder | src/vkinder/settings.py | settings.py | py | 3,811 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isfile",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "db.normalize.normalize",
"line... |
29382149888 | import json
import boto3
from botocore.exceptions import ClientError
import os
region = os.environ['AWS_REGION']
sess = boto3.session.Session(region_name=region)
# def get_bucket_name():
# ssmClient = sess.client('ssm')
# response = ssmClient.get_parameter(
# Name = 'ProserveProject_S3BucketName',... | ferozbaig96/Proserve-project | lambdas/DeleteS3Object.py | DeleteS3Object.py | py | 1,191 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "boto3.session.Session",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "boto3.session",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
20049305182 | import numpy as np
import cv2
from scipy import ndimage, interpolate
def track(I, J, input_points, total_points, window=(21, 21), min_disp=0.01):
output = []
I_gray = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY)
J_gray = cv2.cvtColor(J, cv2.COLOR_BGR2GRAY)
#normalization
I_norm = I_gray/I_gray.max()
... | ocinemod87/Advanced_Topics_Image_Analysis | Assignment_1/Assignment_1.py | Assignment_1.py | py | 4,477 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
30876684301 | # This is necessary to find the main code
import operator
import sys
from Bomberman.bomberman.entity import MonsterEntity
from Bomberman.bomberman.sensed_world import SensedWorld
sys.path.insert(0, '../bomberman')
# Import necessary stuff
from entity import CharacterEntity
from colorama import Fore, Back
from queue i... | ifeeney/CS4341-projects | Bomberman/group10/testcharacter.py | testcharacter.py | py | 20,664 | 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": "entity.CharacterEntity",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "math.inf",
"li... |
38930582027 | import torch
from torch import nn
def conv_block(in_channel, channel, kernel_size=3, stride=1, padding=1, inplace=False):
norm = nn.InstanceNorm2d
return nn.Sequential(
nn.Conv2d(in_channel, channel, kernel_size=kernel_size, stride=stride, padding=padding, bias=True),
norm(channel, affine=True,... | QiliangFan/Drive | models/resnetx.py | resnetx.py | py | 2,452 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.InstanceNorm2d",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
2063152797 | from flask import Flask, render_template, redirect, url_for, flash, request, Blueprint, abort
from flask_login import LoginManager, current_user, login_user, logout_user, login_required
from flask_migrate import Migrate
from werkzeug.urls import url_parse
from models import *
from forms import *
from flask_admin ... | Dimmj/market12 | market/app.py | app.py | py | 4,672 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask_login.LoginManager",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.rend... |
31243963609 | import argparse
import datetime
import pycloudlib
CI_DEFAULT_TAG = "uaclient"
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument(
"-t", "--tag", dest="tag", action="store",
default=CI_DEFAULT_TAG,
help=(
"Tag to determine which instances will be dele... | canonical/server-test-scripts | ubuntu-advantage-client/gcp_cleanup.py | gcp_cleanup.py | py | 3,138 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pycloudlib.GCE",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "dat... |
28657759948 | from torchvision import transforms
from torch.utils.data import dataset, dataloader
from torchvision.datasets.folder import default_loader
from utils.RandomErasing import RandomErasing
from utils.RandomSampler import RandomSampler
from opt import opt
import glob
import pandas as pd
import numpy as np
import os.path as ... | DavisonHu/AICity-track2-Re-id | loader/Evaluation_AICity_data.py | Evaluation_AICity_data.py | py | 4,017 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 17,
"usage_type": "call"
},
{
... |
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