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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
527140531 | import re
from django.shortcuts import render_to_response, RequestContext
from django.db.models import Q
from .models import Article
stopwords = ['an', 'and', 'are', 'as', 'at', 'be', 'but', 'by', 'for', 'if', 'in', 'into', 'is', 'it', 'no', 'not',
'of', 'on', 'or', 's', 'such', 't', 'that', 'the', 'thei... | null | answers/views.py | views.py | py | 2,294 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.db.models.Q",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "models.Article.objects.filte... |
189912403 | import sys
from itertools import chain
import xlrd
def extract(filename):
book = xlrd.open_workbook(filename, formatting_info=True)
sheet = book.sheet_by_index(0)
headers = []
j = 0
while True and j < 4:
value = sheet.cell_value(2, 1 + j)
if not value:
break
... | null | extrator.py | extrator.py | py | 894 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "itertools.chain",
"line_number": 50,
"usage_type": "call"
}
] |
56547224 | from __future__ import print_function, division
from keras.datasets import mnist
from keras.layers import Input, Dense, Reshape, Flatten, Dropout
from keras.layers import BatchNormalization, Activation, ZeroPadding2D
from keras.layers.advanced_activations import LeakyReLU
from keras.layers.convolutional import UpSampl... | null | Application 1/dcgan.py | dcgan.py | py | 8,562 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.optimizers.Adam",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "keras.layers.Input",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "keras.models.Model",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "keras.mod... |
520370218 | import enum
import io
import datetime
import uuid
from aiosmb.commons.utils.ts2dt import *
from aiosmb.protocol.common import NegotiateDialects
from aiosmb.wintypes.dtyp.constrcuted_security.guid import *
# https://msdn.microsoft.com/en-us/library/cc246543.aspx
class NegotiateSecurityMode(enum.IntFlag):
SMB2_NEGOTI... | null | aiosmb/protocol/smb2/commands/negotiate.py | negotiate.py | py | 13,645 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.IntFlag",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "enum.IntFlag",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "aiosmb.protocol.common.NegotiateDialects.SMB311",
"line_number": 53,
"usage_type": "attribute"
},
... |
329551880 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from fixture.session import SessionHelper
class Application:
def __init__(self, browser, config):
if brows... | null | fixture/application.py | application.py | py | 1,140 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 17,
"usage_type": "call"
},
{
"ap... |
53350901 | from requests import Session
import math
from tqdm import tqdm
from urllib.parse import urlencode
class MagicTheGatheringAPI:
def __init__(self):
self.protocol = 'https'
self.domain = 'api.magicthegathering.io'
self.requests_session = Session()
def get_sets(self):
return self... | null | src/etl/extract_cards/magic_the_gathering_api.py | magic_the_gathering_api.py | py | 1,239 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.Session",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"li... |
472281400 | import numpy as np
from scipy import io
import pickle
from collections import OrderedDict
def main():
dict_file = './pickles/knock90_idx_t'
with open(dict_file, 'rb') as f:
t_dict = pickle.load(f)
matrix_file = 'knock90_300'
matrix_name = 'knock90_300'
matrix = io.loadmat(matrix_file)[mat... | null | hwichan/chapter10/knock96.py | knock96.py | py | 1,082 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"... |
39102478 | import gym
import pickle
import os
import numpy as np
import random
import time
import traceback
import math
import tensorflow as tf
from keras.optimizers import Adam
from keras.models import Model
from keras.layers import *
from keras import backend as K
import multiprocessing as mp
import matplotlib.pyplot as plt... | null | r2d2/01_F/src/network.py | network.py | py | 3,873 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.backend.square",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "keras.backend.abs",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "keras.backend",
... |
181905119 | # -*- coding: utf-8 -*-
import json
import re
import uuid
from qiniu import Auth, BucketManager
from scrapy import Spider, Request
from img_spiders.items import ImgSpidersItem, SheJiDiGuo
class Design68Spider(Spider):
name = 'design68'
allowed_domains = ['www.68design.net', 'img.aiji66.com']
headers = {... | null | img_spiders/spiders/design68.py | design68.py | py | 1,096 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "scrapy.Request",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "img_spiders.items.SheJiDiGuo",
"line_number": 31,
"usage_type": "call"
}
] |
168088733 | import librosa
import numpy as np
import scipy as sp
class Energy4Hz:
def __init__(self, soundPath="", rawData = None, frameLenght=0.016, frameStep=0.008, modulLenght=1,
coreFrequency=4, firOrder=100, nMelBand=40, n_fft=2048, fft_step=512):
"""
Can compute the Energy modulation of... | null | .ipynb_checkpoints/nrj_leo-checkpoint.py | nrj_leo-checkpoint.py | py | 5,113 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "librosa.load",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "librosa.filters.mel",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "librosa.filters",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "numpy.hamming",... |
254595675 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from labs.lib.utils import array_map, unzip
def plot_features(y, x, col_names=None, N_COLS=3):
N_FEATURES = x.shape[1]
N_ROWS = int(np.ceil(N_FEATURES / N_COLS))
fig, ax = plt.subplots(N_ROWS, N_COLS, figsize=(N_COLS * 10, N_ROWS *... | null | labs/lib/plots.py | plots.py | py | 1,547 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.ceil",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "labs.lib.utils... |
442438918 | import json
from pathlib import Path
import requests
import utils
from handler import Handler
class RequestTransferHandler(Handler):
def handle(self, environ, start_response):
user = environ['user']
missionJsonString = utils.environToContents(environ)
missionJson = json.loads(missionJson... | null | handlers/requestTransfer.py | requestTransfer.py | py | 1,871 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "handler.Handler",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils.environToContents",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.checkUserPer... |
627097962 | fin = open('C:\\Users\\Ani\\Downloads\\dataset_2_10.txt', 'r')
fout = open('C:\\Users\\Ani\\OneDrive\\Desktop\\output.txt', 'w')
txt = fin.readline().replace('\n','').split(' ')
k = int(txt[0])
string = fin.readline().replace('\n','')
from collections import Counter
patterns = []
for i in range(0,len(string)... | null | the_Frequent_Words_Problem.py | the_Frequent_Words_Problem.py | py | 613 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
}
] |
427870074 | #write a program to download youtube video using python
import pytube
link = input("Enter the link of the video: ")
url = input("Enter the url of the video: ")
video = pytube.YouTube(url)
stream = video.streams.get_highest_resolution()
stream.download()
print("Download Completed!!")
| null | python-DataTransaction/copilot_test.py | copilot_test.py | py | 291 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytube.YouTube",
"line_number": 8,
"usage_type": "call"
}
] |
494447838 | #!/usr/bin/env python3
"""Simple directory listing http server that also allows to upload
files.
"""
import os
import sys
import argparse
import base64
import mimetypes
import pathlib
import traceback
from cgi import FieldStorage
from wsgiref.util import FileWrapper
CHUNKSIZE = 65536 # 64KB
options = {
"rootd... | null | httpuploader.py | httpuploader.py | py | 13,173 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 293,
"usage_type": "call"
},
{
"api_name": "traceback.format_tb",
"line_number": 296,
"usage_type": "call"
},
{
"api_name": "mimetypes.guess_type"... |
203401050 | #! /usr/bin/env python3
# bulletPointAdder.py - Adds bullet points to start of each line of text on the clipboard starting with the 3rd line (skips first two).
import pyperclip
text = pyperclip.paste()
# Separate lines and add stars.
lines = text.split('\n')
for i in range(len(lines)-2): #loop through all indexes ... | null | bulletPointAdder.py | bulletPointAdder.py | py | 465 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyperclip.paste",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyperclip.copy",
"line_number": 13,
"usage_type": "call"
}
] |
435880485 | from deap import creator, tools, base, algorithms
from solver import Solver
from specified_genetic_operators import *
import matplotlib.pyplot as plt
import time
from GUI import print_2d_projections, get_3d_plot
from mesh import *
class GeneticSolver(Solver):
def __init__(self, shape, objective_func, ob... | null | genetic3rd.py | genetic3rd.py | py | 6,874 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "solver.Solver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "deap.creator.create",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "deap.creator",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "deap.base.Fitness",
... |
153192320 | import json
import codecs
import sys
import jieba
import logging
logging.basicConfig(level=logging.ERROR)
from os.path import exists, isfile, isdir
from gensim import corpora, models
from sklearn import lda
sys.path.append('../utils')
from JigClient import JigClient
from es_client import ElasticClien... | null | src/dk/re-much_topic_lda_mmr_scale.py | re-much_topic_lda_mmr_scale.py | py | 15,534 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"... |
306021074 | from torch.utils.data import Dataset, DataLoader
import torchvision.transforms as transforms
import numpy as np
import cv2
def image_loader(image_path):
try:
image = cv2.imread(image_path)
if len(image.shape) == 2:
image = np.stack([image]*3, 2)
return image
except IOError:
... | null | Datasets/ms1m.py | ms1m.py | py | 2,241 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvision.tran... |
324750746 | import sys
import os
sys.path.append(os.path.abspath("../"))
"""Entry point to train IRNet"""
import numpy as np
import torch
import torch.nn as nn
from pytorch_lightning import Trainer, seed_everything
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.core.lightning import LightningModul... | null | chexpert-model/IRNet/train_irnet.py | train_irnet.py | py | 7,421 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
360113836 | from django.urls import path
from events import views
from rest_framework_simplejwt.views import TokenObtainPairView
app_name = 'events'
urlpatterns = [
path('', views.home, name='home'),
path('now/', views.event_list, name='event-list'),
path('create/', views.create_event, name='create-event'),
path('<int:event_... | null | events/urls.py | urls.py | py | 1,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "events.views.home",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "events.views",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
... |
20581205 | import configparser
import os
user_home = os.environ['HOME']
cfg_file_path = user_home + '\\.easy_mindoc\\config.ini'
if not os.path.exists(cfg_file_path):
cfg_path = cfg_file_path[:cfg_file_path.rindex('\\')]
os.makedirs(cfg_path)
conf = configparser.ConfigParser()
conf.read(cfg_file_path, encoding='utf-8')
... | null | easymindoc/easymindoc/my_config/mindoc_config.py | mindoc_config.py | py | 643 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_numb... |
230489360 | """
S3 storage
Store data in S3
"""
import os
import sys
import json
import gzip
try:
# python2
from urlparse import urlparse
import cStringIO
BytesIO = cStringIO.StringIO
except:
# python3
from urllib.parse import urlparse
import io
BytesIO = io.BytesIO
from .datastore import Metaflo... | null | metaflow/metaflow/datastore/s3.py | s3.py | py | 9,505 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cStringIO.StringIO",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "io.BytesIO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "datastore.MetaflowDataStore",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "u... |
455362939 | #
# This program reads through the input file for lptsmanager, and
# lists the values found there for each data field.
#
from xml.dom import minidom
import io
XML_FILENAME = "FCBH Intro/qry_dbp4_Regular_and_NonDrama.xml"
OUT_FILENAME = "DBP4_Analyze_XML.txt"
out = io.open(OUT_FILENAME, mode="w", encoding="utf-8")
xml... | null | obsolete/analysis/py/AnalyzeXMLDoc.py | AnalyzeXMLDoc.py | py | 988 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.parse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom",
"line_number": 12,
"usage_type": "name"
}
] |
292678281 | # coding: utf8
import pytest
from app.core import stations as st
from app.core.dispatcher import GetWalletItinerary
REQUIRED_KEYS = ["id"]
STATIONS = [
st.StartRailwayDepotSt,
st.GetUserSt,
st.IsThereUserSt,
st.IsUserBlockedSt,
st.IsThereHeroSt,
st.GetWalletSt,
st.ViewWalletSt,
st.Fin... | null | tests/units/dispatcher/test__get_wallet_itinerary.py | test__get_wallet_itinerary.py | py | 777 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.core.stations.StartRailwayDepotSt",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "app.core.stations",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "app.core.stations.GetUserSt",
"line_number": 11,
"usage_type": "attribute"
... |
424394598 | # from .simpleAPI2 import *
from nltk import word_tokenize
import re
"""1) количество классов в документе
2) среднее количество предложений в классе(еще можно максимальное)
3) среднее количество слов в классе
4) среднее количество символов в классе"""
classes = 0
sents = 0
words = 0
symbols = 0
number = 0
####
All = 1... | null | local_settings.py | local_settings.py | py | 1,804 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.fullmatch",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 35,
"usage_type": "call"
}
] |
490227429 | import numpy as np
from sklearn.cross_validation import train_test_split
from sklearn.datasets import fetch_mldata
def load_noisy_mnist(noise_ratio=0.):
"""
load MNIST with noisy labels
Parameters
----------
noise_ratio : float
ratio of noisy labels in training
Returns
-------
... | null | dataset.py | dataset.py | py | 1,083 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.fetch_mldata",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.cross_v... |
448312223 | import re
import csv
import datetime
from pymongo import MongoClient
client = MongoClient()
db = client.newcompany
path = r'E:\data\附件1：招聘信息.csv'
_work_year = re.compile(r'[-年月日]')
_salary = re.compile(r'[k-]')
_salary_inf = re.compile(r'[k-以上]')
_salary_sup = re.compile(r'[k-以下]')
_position_advantage = re.compil... | null | refine_data.py | refine_data.py | py | 4,175 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numbe... |
87859025 | import argparse
from LEDTranslator import LEDTranslator
parser = None
translator = LEDTranslator()
text = False
image = False
parser = argparse.ArgumentParser()
content_type = parser.add_mutually_exclusive_group()
content_type.add_argument("-f", "--text", action="store_true", help="display text")
content_type.add_a... | null | CLIManager.py | CLIManager.py | py | 792 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "LEDTranslator.LEDTranslator",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
}
] |
577176523 | """
Implement a web service with API to return number of connected components for a given undirected graph
- Input in JSON format
- Input can be quite large
- Must respond to POST request (http://localhost:5000/connected_components)
"""
from problem1.graph import Graph
from flask import Flask, request
app... | null | problem1/solution.py | solution.py | py | 704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask.request.met... |
458698027 | # from django.conf.urls import url
from django.urls import path
from .views import index, about_view
app_name = 'pages'
urlpatterns = [
path('', index, name='index'),
path('about/', about_view, name='about'),
] | null | src/pages/urls.py | urls.py | py | 220 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.index",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.about_view",
... |
633809502 | def current_datetime():
from datetime import datetime
now = datetime.now()
dt_string = now.strftime("%d/%m/%Y %H:%M:%S")
return (f"[{dt_string}]\n")
def play(song):
import os
os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = "hide"
from pygame import mixer
mixer.init()
mi... | null | ex-6 healthy programmer/healthy programmer.py | healthy programmer.py | py | 3,332 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.in... |
550445582 | #encoding=utf-8
from bs4 import BeautifulSoup
import urlparse
import re
class HtmlParser(object):
#解析下载器下载的网页内容
def parse(self , page_url , html_cont):
if page_url is None or html_cont is None:
return
#使用BeautifulSoup4库来进行解析
soup = BeautifulSoup(html_cont, 'html.parser' , ... | null | spider/html_parser.py | html_parser.py | py | 1,778 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urlparse.urljoin",
"line_number": 30,
"usage_type": "call"
}
] |
372440683 | import pygame
from pygame.sprite import Sprite
class Bullet(Sprite):
def __init__(self, ai_settings, screen, ship):
super(Bullet, self).__init__()
self.screen = screen
self.rect = pygame.Rect(0, 0, ai_settings.bullet_width,
ai_settings.bullet_height)
self.rect.centerx = ship.rect.centerx
self.rect.top = ... | null | bullet_test.py | bullet_test.py | py | 1,160 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pygame.Rect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"li... |
11109089 | import numpy as np
import matplotlib.pyplot as plt
def fn(x,n):
return (x**n -n*x -1)
x = np.linspace(1,3,1000)
y2 = [fn(k,2) for k in x]
plt.plot(x,y2)
y3 = [fn(k,3) for k in x]
plt.plot(x,y3)
y4 = [fn(k,4) for k in x]
plt.plot(x,y4)
y5 = [fn(k,5) for k in x]
plt.plot(x,y5)
y10 = [fn(k,10) for k in x]... | null | TP 11/EX 3/ex 2.py | ex 2.py | py | 656 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
597543183 | #!/usr/bin/env python
# A python version of the script hardCIDR.sh by Jason Ashton (@ninewires)
# A tool to enumerate CIDRs by querying RIRs & BGP ASN prefix lookups
# Currently queries: ARIN, RIPE NCC, APNIC, AfriNIC, LACNIC
#
# Queries are made for the Org name, network handles, org handles, customer handles,
# BGP ... | null | pdisco/hardCIDR.py | hardCIDR.py | py | 50,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Semaphore",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "telnetlib.T... |
372817139 | import os
import logging
import web
logging.getLogger("shell").setLevel(logging.DEBUG)
def get_page_file_list_by_req_path(folder_pages_full_path, req_path, sort_by_modified_ts = False, max_depth = None, limit = None):
if req_path in ("~all", "~recent"):
path = "."
else:
path = web.utils.str... | null | zbox_wiki/shell.py | shell.py | py | 913 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "web.utils.strips",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "web.utils",
"... |
313988350 | import json
from flask import render_template, request
from ...data.db import db
from ...data.models import MarathonInfo, ScheduleEntry
def show():
return render_template('schedule/show.tmpl')
def as_json():
start = request.args.get('start')
end = request.args.get('end')
schedule_entries = db.sessio... | null | src/web/views/schedule.py | schedule.py | py | 1,014 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "f... |
38869884 | """
Dictionaries.
Rosalind ID: INI6
URL: http://rosalind.info/problems/ini6/
"""
from collections import defaultdict
from helper import output, get_input
def ini6(text):
"""Return dict with count of times the word occured in the string."""
result = defaultdict(int)
for word in text.split(' '):
r... | null | python/src/ini6.py | ini6.py | py | 618 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "helper.get_input",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "helper.output",
"line_number": 27,
"usage_type": "call"
}
] |
556131818 | # -- encoding: UTF-8 --
from addict import Dict
from requests import Session
from six.moves.urllib.parse import urljoin
class WurstSession(Session):
"""
A "DWIM" requests session wrapper for sessions targeting the Wurst API.
"""
def __init__(self, base_url):
self.base_url = base_url
s... | null | wurstc/net.py | net.py | py | 973 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.Session",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "six.moves.urllib.parse.urljoin",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "addict.Dict",
"line_number": 31,
"usage_type": "call"
}
] |
304545147 | # coding: utf-8
"""
An example of script of how you can create a system tray icon using python
Requirements: pip install pystray
"""
import pystray
from pystray import Menu, MenuItem
from PIL import Image
class ShowSystemTryIcon:
def __init__(self):
self.icon = pystray.Icon("File Organization System")
... | null | scripts/05_system_tray_icon_window.py | 05_system_tray_icon_window.py | py | 873 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pystray.Icon",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pystray.Menu",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pystray.MenuItem",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line... |
632239545 | import os
import sys
import pygame
import math
import glob
import random
import time
from pygame.locals import *
import maps
from loader import load_image
CENTER_X = -1
CENTER_Y = -1
GRASS_SPEED = 0.715
GRASS_GREEN = 75
COUNTDOWN_FULL = 3600
COUNTDOWN_EXTEND = 750
STONENESS_INCR = 10
STONENESS_DECR = 1
DRUNKNE... | null | player.py | player.py | py | 7,182 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.transform.rotate",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "random.r... |
528252236 | import pytest
from bitcart.errors import LightningDisabledError
pytestmark = pytest.mark.asyncio
async def test_node_id(btc_wallet):
assert isinstance(await btc_wallet.node_id, str)
async def test_add_invoice(btc_wallet):
assert isinstance(await btc_wallet.addinvoice(0.5, "test description"), str)
async ... | null | tests/coins/btc/test_lightning.py | test_lightning.py | py | 494 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytest.mark",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pytest.raises",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bitcart.errors.LightningDisabledError",
"line_number": 17,
"usage_type": "argument"
}
] |
118979613 | import os
import arcus.azureml.environment.aml_environment as aml
import arcus.azureml.environment.errors as errors
import arcus.azureml.environment.environment_factory as fac
import pytest
def is_interactive():
# If the environment variable System_DefinitionId is not available, we run locally
return 'SYSTEM_D... | null | tests/test_workenvironment_create.py | test_workenvironment_create.py | py | 1,680 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pytest.raises",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "arcus.azureml.environment.errors.EnvironmentException",
"line_number": 12,
"usage_type": "attribute"
},
... |
630666628 | from django.urls import path
from .views import *
app_name='mytest'
urlpatterns = [
path('',map,name='map'),
path('out/',OutDB.as_view(),name='out'),
path('in/', point_input, name='in'),
path('outmap/',Outmap.as_view(),name='outmap'),
] | null | mytest/urls.py | urls.py | py | 256 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
562619608 | import helpers, testly, sys, json
from time import time
from glob import glob
from os import path, symlink, makedirs, utime, remove
from tempfile import gettempdir
from collections import OrderedDict
from shutil import rmtree
from copy import deepcopy
from liquid import LiquidRenderError
from pyppl.job import Job
from... | null | tests/testJob.py | testJob.py | py | 83,680 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "testly.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "tempfile.gettempdir",
"... |
391242699 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Parser
Created on Fri Mar 8 07:10:43 2019
@author: Juan Manuel Perez & German Villacorta
"""
from ply import yacc
from .vars_table import VarsTable
from .intermediate_code_generator import ICG
from .lexer import tokens
vars_table = VarsTable()
ic_generator = ICG()... | null | build/lib/elda/Compiler/parser.py | parser.py | py | 28,615 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vars_table.VarsTable",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "intermediate_code_generator.ICG",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "vars_table.table",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_na... |
540896946 | import numpy as np
import pandas as pd
from sklearn import metrics
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import r2_score
from sklearn.model_selection import train_test_split
def run_regression(filename='datafile.csv'):
data = pd.read_csv(filename, low_memory=False)
data.head... | null | regression.py | regression.py | py | 3,114 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sklearn.model_sel... |
186617423 | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 26 12:40:56 2019
@author: Killer1
"""
import pandas as pd
import numpy as np
from sklearn import linear_model
from sklearn.metrics import r2_score
import matplotlib.pyplot as plt
regr = linear_model.LinearRegression()
datos = pd.read_csv('movies3.csv')
... | null | Regresion_Lineal.py | Regresion_Lineal.py | py | 869 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
160622275 | from tradenplay import settings
from django.contrib.sites.models import Site
def project_constants(HttpRequest):
site_name = Site.objects.get(id=settings.SITE_ID)
return {'STATIC_URL': settings.STATIC_URL,
'IMG_UPLD_DIR': settings.IMG_UPLD_DIR,
'site_name': site_name
... | null | utils/context_processors.py | context_processors.py | py | 326 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.sites.models.Site.objects.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.sites.models.Site.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.sites.models.Site",
"line_number": 6,... |
426549455 | from django.shortcuts import render, redirect
from myblog.models import Genre, Post
from django.template import loader
from django.http import HttpResponse, HttpResponseRedirect, Http404
from myblog.forms import MyPostForm
from django import forms
from django.utils import timezone
def add_post(request):
if reque... | null | myblog/views.py | views.py | py | 1,601 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "myblog.forms.MyPostForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 15,
"usage_type": "name"
},
{
"api_name"... |
485547320 | import pygame
import enum
import time
class Direction(enum.Enum):
LTR = 0
RTL = 1
TTB = 2
BTT = 3
class Gradient():
def __init__(self, parent, position, size, start_color = pygame.Color(0,0,0), end_color = pygame.Color(255,255,255), direction = Direction.LTR, occurrence = -1):
self.occurre... | null | gradient.py | gradient.py | py | 5,072 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.Color",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_nu... |
375099316 | #!/usr/bin/env python3
import os, sys
import time
import json
import asyncio
from datetime import datetime
HOME_DIR = os.environ['HOME_DIR']
sys.path.insert(0, HOME_DIR)
from dnx_configure.dnx_constants import *
from dnx_configure.dnx_configure import System
from dnx_configure.dnx_iptables import IPTables
class IP... | null | ip_proxy/ip_proxy_timer.py | ip_proxy_timer.py | py | 3,975 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_n... |
91857038 | from transitions import Machine
import asyncio
from util import ImageUtil
from uiautomator2 import Device
class FriendPointTask(object):
states = ["friend_point_pool", "friend_point_confirm", "friend_point_summon"]
def __init__(self, image_util: ImageUtil, device: Device):
self.image_util = image_uti... | null | friend_point.py | friend_point.py | py | 2,766 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "util.ImageUtil",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "uiautomator2.Device",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "transitions.Machine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "transitions.Ma... |
332399611 | ##载入所需库
import xgboost as xgb
import pandas as pd
import numpy as np
##载入训练数据
data = pd.read_csv('./train.csv').fillna(0)
##数据集拆分
label = data['pay_status']
feature = data.iloc[:, 3:]
train_rate = 0.7
random_index = np.random.permutation(feature.shape[0])
train_index, test_index = random_index[:int(train_rate * featu... | null | Ensemble Learning/Boosting/xgboost.py | xgboost.py | py | 1,358 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random.permutation",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "xgboost.DMa... |
88997774 | import asyncio
import os
import subprocess
import aiofiles
import logging
logger = logging.getLogger("app")
async def determine_server_version(install_path="."):
loop = asyncio.get_event_loop()
version = await loop.run_in_executor(None, determine_server_version_from_git)
if version:
return ver... | null | virtool/version.py | version.py | py | 1,181 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
187997791 | import scrapy
class QuotesSpider(scrapy.Spider):
name = "tripadvisor"
start_urls = [
'https://www.tripadvisor.com/Restaurants-g294074-Bogota.html',
]
def parse(self, response):
for restaurant in response.css("a._15_ydu6b"):
yield {
'name': restaurant.get(),... | null | Data_Collection_Scraping/tadd/tadd/spiders/tripavisor_crawler.py | tripavisor_crawler.py | py | 540 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
}
] |
628551000 | # -*- coding: utf-8 -*-
import json
from urllib.parse import quote
import scrapy
from scrapy import Request, Selector
from scrapy_demo.items import LianjiaItem
class LianjiaSpider(scrapy.Spider):
name = 'lianjia'
allowed_domains = ['lianjia.com']
# start_urls = ['https://nj.lianjia.com/']
name = 'l... | null | pycharmProject/scrapy_dev/scrapy_demo/scrapy_demo/spiders/lianjia.py | lianjia.py | py | 7,232 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "scrapy.Selector",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "json.loads",
"l... |
231404944 | __author__ = 'Jarvis'
import logging
from django.utils.translation import ugettext as _
from notification import models
from dashboard import models as dashboardModels
from utilities import email
from utilities import common
log = logging.getLogger('email')
def sendRegisterActiveEmail(request, *args, **kwargs):
... | null | notification/views.py | views.py | py | 13,740 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "notification.models.NotificationTemplate.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "notification.models.NotificationTemplate",
"line_number": 17,
"... |
605057153 | from gettext import gettext as _
from gi.repository import GObject, Gtk, Gedit
# Place the menu item above "Select All" in "Edit".
ui_str = """<ui>
<menubar name="MenuBar">
<menu name="EditMenu" action="Edit">
<placeholder name="EditOps_2">
<menuitem name="DuplicateLine" action="DuplicateLine"/>
</placeholder>
</menu>... | null | duplicateline.py | duplicateline.py | py | 3,126 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gi.repository.GObject.Object",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.GObject",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "gi.repository.Gedit.WindowActivatable",
"line_number": 16,
"usage_type": "attribu... |
167960994 | """Utility functionality for logging.
"""
import os
import sys
import logbook
def create_log_handler(config, log_name):
log_dir = config.get("log_dir", None)
if log_dir:
if not os.path.exists(log_dir):
os.makedirs(log_dir)
handler = logbook.FileHandler(os.path.join(log_dir, "%s.log... | null | nextgen/bcbio/log/__init__.py | __init__.py | py | 416 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logbook.FileHandler",
"li... |
78183459 | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
STOP_RENDERING = runtime.STOP_RENDERING
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1499327915.777048
_enable_loop = True
_template_filename = '/home/duytung/PycharmProjects/test/tes... | null | data/templates/pages/new.mako.py | new.mako.py | py | 2,988 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mako.runtime.UNDEFINED",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "mako.runtime",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "mako.runtime.STOP_RENDERING",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name":... |
456189038 | #!/usr/bin/env python3
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Author: Jeremy Maurer, Raymond Hogenson & David Bekaert
# Copyright 2019, by the California Institute of Technology. ALL RIGHTS
# RESERVED. United States Government Sponsorship acknowledged.
#
# ~~~~~~~~~~~~~~... | null | tools/RAiDER/losreader.py | losreader.py | py | 11,665 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "RAiDER.constants._ZREF",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "RAiDER.Geo2rdr.PyGeo2rdr",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "RAiDER.Geo2rdr",
"line_number": 89,
"usage_type": "name"
},
{
"api_name": "numpy.... |
208186634 | from PyQt5 import QtSql
from PyQt5.QtSql import QSqlQuery
import xlrd
import datetime
import time
import random
a1 = (2016, 1, 1, 0, 0, 0, 0, 0, 0) # 设置开始日期时间元组（1976-01-01 00：00：00）
a2 = (2019, 12, 31, 23, 59, 59, 0, 0, 0) # 设置结束日期时间元组（2019-12-31 23：59：59）
start = time.mktime(a1) # 生成开始时间戳
end = time.mktime(a2) #... | null | create_sql.py | create_sql.py | py | 12,008 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.mktime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_num... |
608264431 |
from models.config import session
from models.user import User
from models.book import Book
from models.own_book import Own_Book
from models.lend_info import Lend_info
from app.BookList import GetOwnBookById,GetOwnBookIDByUseridAndBookid
import os
from datetime import date, timedelta
import datetime
from app.IsSam... | null | server/app/add_db_LendInfo.py | add_db_LendInfo.py | py | 2,562 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.config.session.query",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.user.User",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "models.config.session",
"line_number": 21,
"usage_type": "name"
},
{
"api_name":... |
546766921 | """
Sort all traffic packets data based on date and time
Return and write to directory files:
em2_sorted.csv
em3_sorted.csv
em4_sorted.csv
"""
import numpy as np
import pandas as pd
import datetime
import time
import os
import ConfigParser
import multiprocessing
import sys
Config = ConfigParser.ConfigParser()
Confi... | null | sort_packet.py | sort_packet.py | py | 1,949 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
38102716 | """PinkBlack URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-bas... | null | PinkBlack/urls.py | urls.py | py | 2,846 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pink_black.sitemaps.ItemSitemap",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pink_black.sitemaps.StaticViewSitemap",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 34,
"usage_type": "call"
},
{... |
524817873 | """
Created by Alexander Swanson on 8/1/18.
Copyright (c) 2018, Alexander Joseph Swanson Villares
alexjosephswanson@gmail.com
"""
import indicoio
import json
import pandas
from itertools import chain
from pprint import pprint
with open('../resources/keys/indicoio.txt') as f:
indicoio.config.api_key = f.readline()... | null | experiments/experiment2/src/py/keyphrases_generation.py | keyphrases_generation.py | py | 2,218 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "indicoio.config",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "indicoio.keywords",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.load",
"lin... |
609206817 | import asyncio
import pprint
from itertools import product
from collections import defaultdict
import argparse
tcp_ports = [22, 3389]
class TcpProbe:
def __init__(self, os_ip, port):
self.os_ip = os_ip
self.port = port
def __repr__(self):
return f'{self.os_ip}:{self.port} connect {... | null | IsAlive/IsAliveAsync.py | IsAliveAsync.py | py | 1,858 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.open_connection",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "asy... |
239243101 | """
A simulator for Nokia 1830-PSS for testing purposes
"""
import os
import re
import logging
import sshim
logging.basicConfig(level='DEBUG')
logger = logging.getLogger()
fixture_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'fixtures')
logger.info(fixture_path)
class NokiaPSS18... | null | tests/pss1830sim.py | pss1830sim.py | py | 6,159 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
2574549 | from dataclasses import dataclass
from defines import inv_cell_enum
from Solver import Solver, make_xor_bool
@dataclass
class Label:
bit: int
type: str
num: int
@dataclass
class ActiveInfo:
cycle: int
cell_id: int
prop_var: int
@dataclass
class VariableInfo:
cycle: int
cell_id: int... | null | classes.py | classes.py | py | 4,378 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "Solv... |
652706147 | import torch
import torch.nn.functional as F
try:
import matplotlib.pyplot as plt
except ImportError:
pass
def factor_getter(n, base):
base = base * 0.8 ** (n // 6)
i = n % 6
if i < 3:
f = [0, 0, 0]
f[i] = base
else:
base /= 2
f = [base, base, base]
f[i ... | null | pytorch_mask_rcnn/visualize.py | visualize.py | py | 2,652 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.functional.interpolate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.interpolate",
"line_number": 37,
"usage_type": "call"
},
{
... |
436360597 | import os
from conans import ConanFile, tools, CMake
from conans.errors import ConanInvalidConfiguration
class WavPackConan(ConanFile):
name = "wavpack"
description = "Hybrid Lossless Wavefile Compressor."
topics = ("conan", "wavpack", "lossless", "audio", "lossy", "wv")
url = "https://github.com/audac... | null | wavpack/all/conanfile.py | conanfile.py | py | 3,150 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "conans.ConanFile",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "conans.tools.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "conans.tools",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "conans.tools.rename",
... |
237491995 | # coding=utf-8
__author__ = "AstroPrint Product Team <product@astroprint.com>"
__license__ = "GNU Affero General Public License http://www.gnu.org/licenses/agpl.html"
__copyright__ = "Copyright (C) 2017 3DaGoGo, Inc - Released under terms of the AGPLv3 License"
import sqlite3
class AstroprintDB():
def __init__(self... | null | octoprint_astroprint/AstroprintDB.py | AstroprintDB.py | py | 4,589 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
296168486 | """
This module contains classes and functions used for defining RESTFul web interfaces.
You can define resources which contain sets of endpoints. You can also create bundles
of resources for versioning and grouping your api calls. Those resources and
Please refer to the documentation for the Resource class for mor... | null | resourceful/resources.py | resources.py | py | 35,873 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.View",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "bundles.Bundle",
"line_number": 171,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 217,
"usage_type": "call"
},
{
"api_name": "djang... |
416341900 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-x86_64/egg/treedraw/render.py
# Compiled at: 2017-10-18 08:39:32
# Size of source mod 2**32: 4255 bytes
import cairo, math
class Renderer:
... | null | pycfiles/treedraw-1.1.0-py3.6/render.cpython-36.py | render.cpython-36.py | py | 3,665 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cairo.ImageSurface",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cairo.FORMAT_RGB24",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cairo.Context",
... |
646811852 | #!/opt/anaconda2/bin/python
# -*- coding: utf-8 -*-
"""
################################################################################
#
# Copyright (c) 2016 Wojciech Migda
# All rights reserved
# Distributed under the terms of the MIT license
#
####################################################################... | null | src/ETReg.py | ETReg.py | py | 7,447 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "sys.path.insert",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number"... |
473154351 | import numpy as np
#GLOBAL VARIABLES
IMAGE_SIZE=32
NUM_CLASSES=10
NUM_EXAMPLES_PER_EPOCH_FOR_TRAIN=50000
NUM_EXAMPLES_PER_EPOCH_FOR_EVAL=10000
IMAGE_PIXELS=IMAGE_SIZE*IMAGE_SIZE*3
def unpickle(file):
import pickle
with open(file, 'rb') as fo:
dict=pickle.load(fo, encoding='bytes')
return dict
... | null | HW2/feedforward/code/CIFAR_INPUT.py | CIFAR_INPUT.py | py | 3,084 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_... |
178276414 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | null | horizon/openstack_dashboard/utils/signature_utils.py | signature_utils.py | py | 1,531 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base64.b64encode",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 43,
"usage_type": "attribute"
}
] |
512731413 | __author__ = 'Agnieszka'
from django.shortcuts import render_to_response, render
from django.template import RequestContext
from django.http import HttpResponse
def handler404(request):
response = render_to_response('404.html', {},
context_instance=RequestContext(request))
re... | null | Prostate_Project_Web/views.py | views.py | py | 841 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.template.RequestContext",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 14,
"usage_type": "... |
475826057 | import logging
from time import time
from sklearn import metrics
logger = logging.getLogger(__name__)
def trim(s):
return s if len(s) <= 80 else s[:77] + "..."
def sk_statistical(clf, x_train, y_train, y_test, x_test):
"""
Run the classifier and collect results. This is intended for use with
the `... | null | dataScience/experimental/policy/text_classif/utils/benchmarks.py | benchmarks.py | py | 1,399 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 4... |
65029407 | import numpy as np
import matplotlib.pyplot as plt
from pulseinfo import PulseProfile
from opmmodel import ModeDecomposedProfile
from scipy.signal import argrelextrema
import scipy.optimize as opt
from sklearn import mixture
from gaussianmixture import fit_samples
class GaussianMixture(object):
def __init__(self,... | null | fit_gaussians/gaussian_profile_fit.py | gaussian_profile_fit.py | py | 4,041 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.exp",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scipy.signal.argrelextrema",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.greater",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",... |
457267656 | from django.urls import path,include
from student import views
urlpatterns = [
path('home_student',views.home_student,name="home_student"),
path('profile_student', views.student_profile, name="profile_student"),
path('student_dash', views.dash, name='StudentDash'),
path('student_profile', views.profil... | null | student/urls.py | urls.py | py | 486 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "student.views.home_student",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "student.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.ur... |
11053652 |
from flask import Flask, render_template, request
from scipy.misc import imread, imresize
import numpy as np
import re
import sys
import os
import keras
sys.path.append(os.path.abspath("./model"))
from load import *
from PIL import Image
app = Flask(__name__)
global model, graph
model, graph = init()
import base6... | null | app.py | app.py | py | 1,873 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
517771520 | import pyautogui
from time import sleep
import keyboard
pause = False
print(pause)
def change():
global pause
pause = not pause
print(pause)
keyboard.add_hotkey('page up', lambda: change())
keyboard.add_hotkey('esc', lambda: exit())
while 1:
if pause == True:
find = pyautogui.locateOnS... | null | Bot1.0.pyw | Bot1.0.pyw | pyw | 2,004 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keyboard.add_hotkey",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keyboard.add_hotkey",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyautogui.locateOnScreen",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pyau... |
134773524 | #!/usr/bin/env python
import rospy
from std_msgs.msg import String
from std_msgs.msg import Empty
from nav_msgs.msg import Odometry
from geometry_msgs.msg import Twist
#import pandas as pd
import threading
import numpy as np
from geometry_msgs.msg import TransformStamped
from tf.transformations import euler_from_quate... | null | jackal1_ws/src/offbordctrl/script/serial_command.py | serial_command.py | py | 6,255 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tf.transformations.euler_from_quaternion",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "math.degrees",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "geo... |
118240346 | from rest_framework import test, status
from nodeconductor.iaas.tests import factories
from nodeconductor.structure import models
from nodeconductor.structure.tests import factories as structure_factories
class FloatingIPListRetreiveTestCase(test.APITransactionTestCase):
def setUp(self):
# objects
... | null | nodeconductor/iaas/tests/test_floating_ips.py | test_floating_ips.py | py | 5,191 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.test.APITransactionTestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.test",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "nodeconductor.structure.tests.factories.CustomerFactory",
"line_number": 12... |
70956973 | #!/usr/bin/env python
# encoding: utf-8
'''
@author: Roy Law
@license: (C) Copyright 2018.
@contact: https://github.com/RoyLaw
@file: consultation_from_baidu.py
@time: 2018/1/15 下午1:40
@desc:
@ref: https://github.com/smileboywtu/MillionHeroAssistant/blob/master/core/baiduzhidao.py
'''
import operator
import ... | null | common/consultation_from_baidu.py | consultation_from_baidu.py | py | 1,801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.choice",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 71,
"usage_type": "call"
}
] |
118813535 | # -*- coding: utf-8 -*-
"""
author: Juan Ramón Espinoza
Created on Mon May 9 16:23:43 2016
"""
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import cm
def displayData(X, example_width=0):
"""Displays 2D data stored in X in a nice grid."""
if example_width==False:
... | null | functions/displayData.py | displayData.py | py | 1,549 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.round",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 23... |
542323686 | from django.views import View
from onlineapp.forms.auth import *
from django.contrib.auth import login, authenticate,logout
from django.contrib.auth.forms import UserCreationForm
from django.shortcuts import render, redirect
from django.contrib.auth.models import User
from django.contrib import messages
class ... | null | mentor_app_git/onlineapp/views/auth.py | auth.py | py | 2,062 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 21,
"usage_type": "call"
... |
538557126 | #Question 10
import numpy as np
import scipy.optimize as scop
import matplotlib.pyplot as plt
import emcee
import corner
f=open("Data.txt","r") #Read the data given.
Data=f.readlines()
i=0
x=np.zeros(20)
y=np.zeros(20)
y_er=np.zeros(20)
for D in Data:
D1,D2,D3,D4=D.split()
x[i]=float(D2)
y[i]=f... | null | Q_10.py | Q_10.py | py | 1,574 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 25... |
536239765 | import inspect
import warnings
from contextlib import ExitStack
from typing import TYPE_CHECKING, Any, Callable, Generator, List, NamedTuple, Optional, Union, cast
from dagster import check
from dagster.core.errors import DagsterInvalidInvocationError, DagsterInvariantViolationError
from dagster.core.instance import D... | null | python_modules/dagster/dagster/core/definitions/sensor.py | sensor.py | py | 19,997 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "dagster.core.instance.ref.InstanceRef",
"line_number": 47,
"usage_type": "name"
},
{
"api_na... |
540857571 | ################################################################
# #
# doc #
# #
############################################################... | null | classifier/inceptionv3.py | inceptionv3.py | py | 6,082 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.applications.InceptionV3",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "keras.applications",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 56,
"usage_type": "call"
... |
134337906 |
import threading
import discord
from discord.ext import commands
import asyncio
from datetime import datetime,time,timedelta
import datetime as dt
import UserSLAlert
import Position
import database
import json
import urllib.request
import time
from selenium import webdriver
from selenium.webdriver.chrome.options impor... | null | source/alertsSL.py | alertsSL.py | py | 6,036 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.platform",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"li... |
627646598 | # -*- coding: utf-8 -*-
import re
import os
import json
import datetime
import requests
from pymongo import MongoClient
from selenium import webdriver
from time import sleep
from threading import Thread
from models.documents import LiveScore, Tournament
import logging
class Driver:
def __init__(self):
chr... | null | scripts/bet365_livescore.py | bet365_livescore.py | py | 7,115 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 25,
"usage_type": "call"
},
{
"api... |
280783455 | import sys
import re
import os
import glob
import json
import collections
import cv2
import errno
import numpy as np
import shutil
'''
before run this script please exec:
cd /media/benw/Data/data/aws_log_data/data
ls -1 metadata/ | grep mta.json | head -n 25000 > ../trainval24k/trainvallist24k.txt
prepare the traini... | null | segmentation/data/prepareImagas.py | prepareImagas.py | py | 8,093 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4... |
516110928 | #! /usr/bin/env python
#
# Author: Graeme A Stewart <graeme.andrew.stewart@cern.ch>
#
# Copyright (C) 2017 CERN for the benefit of the ATLAS collaboration
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of th... | null | cmttags.py | cmttags.py | py | 4,991 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.stat",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "glogger.logger.debug",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "glogger.logger",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "glogger.logger.debug",
... |
442277639 | # -*- coding: utf-8 -*-
"""
Python module to manipulate, analyze and visualize structural geology data
"""
from __future__ import division, print_function
from copy import deepcopy
import warnings
import numpy as np
from .helpers import sind, cosd, acosd, asind, atan2d, angle_metric
__all__ = ['Vec3', 'Lin', 'Fol',... | null | apsg/core.py | core.py | py | 38,926 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.ndarray",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_num... |
306824329 | from PyQt5.QtWidgets import QApplication
from model.experiment.IV_measurement import IVExperiment
from view.scan_window import ScanWindow
exp = IVExperiment()
exp.load_config('Config/experiment.yml')
exp.load_daq()
app = QApplication([])
win = ScanWindow(exp)
win.show()
app.exec() | null | test_view.py | test_view.py | py | 284 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "model.experiment.IV_measurement.IVExperiment",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "view.scan_window.ScanWindow",
"line_number": 11,
"usage_type": "... |
601166021 | import numpy as np
import os
from pandas.io.parsers import read_csv
from sklearn.cross_validation import train_test_split
from sklearn.utils import shuffle
def load_train_data(filepath, cols=None):
df = read_csv(os.path.expanduser(filepath)) # load dataframes
df['Image'] = df['Image'].apply(lambda im: np.fr... | null | K/utils/load.py | load.py | py | 1,322 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.io.parsers.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.fromstr... |
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