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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
144857419 | import numpy as np
import sympy as sym
def newton(xi,fi):
n=len(xi)
xi=np.array(xi)
fi=np.array(fi)
n = len(xi)
ki = np.arange(0,n,1)
tabla = np.concatenate(([ki],[xi],[fi]),axis=0)
tabla = np.transpose(tabla)
dfinita = np.zeros(shape=(n,n),dtype=float)
tabla = np.conc... | null | Methods/M20_Newton_Divided_Difference.py | M20_Newton_Divided_Difference.py | py | 1,607 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_numb... |
5398807 | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import sys
import glob
import matplotlib.gridspec as gridspec
from mpl_toolkits.mplot3d import Axes3D
import os
##Setup plotting environment
plt.style.use('science')
h = 10
w = 20
fig = plt.figure(figsize=(w,h))
ax0 = plt.subplot... | null | tools/propagation_delay.py | propagation_delay.py | py | 4,252 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_na... |
9657555 | """Unit tests for specifications files."""
import os
import yaml
import json
from pytest import mark
from requests import get
from common.bootstrap import collect_sources
from common.utilities import get_fiscal_datapackage
from common.config import (
FISCAL_SCHEMA_FILE,
OS_TYPES_URL,
FISCAL_MODEL_FILE,
... | null | eu-structural-funds/tests/test_specifications.py | test_specifications.py | py | 5,838 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.config.FISCAL_MODEL_FILE",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "common.config.FISCAL_SCHEMA_FILE",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "common.config.FISCAL_METADATA_FILE",
"line_number": 26,
"usage_type": "n... |
112607187 | # 元注解单例的实践
import os
import traceback
from configparser import ConfigParser
from enum import Enum, unique
import redis
import pickle
# 协程库 gen允许异步代码更直接，而不用链式回调
from tornado.gen import coroutine, Return
# AsyncHTTPClient 是HTTP客户端实现
from tornado.httpclient import AsyncHTTPClient
# 异步网络库IOLoop
from tornado.ioloop import I... | null | mini_db/src/async_request.py | async_request.py | py | 4,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "redis.Redis",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tornado.options.options.redis_host",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "tornado.options.options",
"line_number": 21,
"usage_type": "name"
},
{
"api_n... |
380063484 | import json
import sys
from math import sqrt
import argparse
import re
import os
def load_data(filepath):
if os.path.exists(filepath):
with open(filepath, 'r') as f:
return f.read()
def enter_coordinates():
try:
print("Longitude: ")
longitude = int(input())
print(... | null | bars.py | bars.py | py | 2,471 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"l... |
507891227 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 5 17:01:00 2020
@author: jinlingxing
"""
from collections import deque
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
if root == None:
return []
res = []
q = deque([root])
w... | null | 102.py | 102.py | py | 648 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
292790803 | import logging
import os
LOGFILE = "/tmp/idtranslator/backend.log"
def create_logger():
"""
Creates a logging object and returns it
"""
logger = logging.getLogger("backend_logger")
logger.setLevel(logging.DEBUG)
try:
# create the logging file handler
fh = logging.FileHandler(r... | null | id_translator/log/backend_logger.py | backend_logger.py | py | 742 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
... |
92985725 | from datetime import date, datetime
from django.conf import settings
from django.contrib.sites.models import Site
from django.core.exceptions import ValidationError
from django.core.mail import EmailMessage
from django.db import models
from django.urls import reverse
from ghost_shopper.core.models import PerformerLet... | null | ghost_shopper/check/models.py | models.py | py | 9,943 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Manager",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "enums.CHECK_TYPES",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "djan... |
68059128 | from guestbook_app import db
from wtforms.validators import Length
from datetime import datetime
class GuestBookItem(db.Model):
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
author = db.Column(db.String(140), nullable=False)
text = db.Column(db.String(500), nullable=False, info={"valida... | null | lesson13/guestbook/models.py | models.py | py | 1,704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "guestbook_app.db.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "guestbook_app.db",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "guestbook_app.db.Column",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gue... |
268929223 | #!/usr/bin/env python
from itertools import islice
from pathlib import PurePath
from pathlib import Path
from datetime import timedelta
import time
import argparse
import librosa
import json
import math
import sys
import os
# Add this directory to path so that package is recognized.
# Looks like a hack, but is ok for... | null | Audex/dataprep_asr.py | dataprep_asr.py | py | 9,530 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
552723313 | import numpy
import scipy
import netCDF4
import matplotlib.pyplot as mp
import matplotlib.ticker
import matplotlib.colors
import scipy.stats
import pandas
import itertools
mp.rcParams.update({'mathtext.default': 'regular'})
#get_ipython().magic('matplotlib inline')
# ==================================================... | null | NEW_CALCULATIONS/calcs_and_plots/whiplash/old/whiplash_calculations_running_mean_loop_years_reversible.py | whiplash_calculations_running_mean_loop_years_reversible.py | py | 10,918 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
... |
22245594 | def optimize(loss, initial_parameters, method='Powell',
options=None, compile=False):
"""Main optimization method. Selects one of the following optimizers:
- :meth:`qibo.optimizers.cma`
- :meth:`qibo.optimizers.newtonian`
- :meth:`qibo.optimizers.sgd`
Args:
loss (ca... | null | src/qibo/optimizers.py | optimizers.py | py | 4,647 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cma.fmin2",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.minimize",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "qibo.K.Variable",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "qibo.K",
"line_... |
600646439 | # !/user/bin/env python
# -*- coding:utf-8 -*-
from PyQt5.QtWidgets import QFileDialog, QMainWindow
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWebEngineWidgets import *
import sys,os
from carGUI import Ui_MainWindow
import video_track
import urllib.request
class MyVideoForm(QMainWindow,Ui_MainWindow):
... | null | VideoGUI.py | VideoGUI.py | py | 4,410 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "carGUI.Ui_MainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name... |
535505999 | """Support functions
"""
import numpy
import pygrib
ww3_f = "data/nww3.t00z.grib.grib2.grb"
# Region lat/lon bounding boxes
region_box = {
"gold_coast": {
"lat": [-31, -25],
"lon": [152, 157]
}
}
# Era5 variable names
var_names = {
u'10 metre U wind component',
u'10 metre V wind comp... | null | utils.py | utils.py | py | 2,505 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygrib.open",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "pygrib.open",
"line_number": 114,
"usage_type": "call"
}
] |
362565839 | import requests
import misc
import json
weather_key = misc.weather_key
def get_weather_updates(city):
url = 'http://api.openweathermap.org/data/2.5/weather?q=' + city + '&APPID=' + weather_key
r = requests.get(url)
return r.json()
def weather_save(city):
data = get_weather_updates(city)
with op... | null | bot/weather_api.py | weather_api.py | py | 735 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "misc.weather_key",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 17,
"usage_type": "call"
}
] |
313676740 | from geopy.distance import geodesic
from math import radians, sin, cos, acos
import pandas as pd
from copy import deepcopy
import math
import sys
def dist2(lat1, lon1, lat2, lon2):
"""
Utility function for finding distance between two points given their
latitudes and longitudes
"""
distance = geod... | null | Mallocators_Submission/scorer.py | scorer.py | py | 4,121 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "geopy.distance.geodesic",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv... |
118713915 | #!/usr/bin/env python
# Software License Agreement (BSD License)
#
# Copyright (c) 2008, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code... | null | ChuckTests/RemoteControlTest/src/joystick_control/scripts/talker.py | talker.py | py | 3,856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rospy.Publisher",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "std_msgs.msg.String",
"line_number": 44,
"usage_type": "argument"
},
{
"api_name": "rospy.Publisher",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "std_msgs.msg.... |
85473100 | from functools import reduce
from os import path
import re
BAG_REGEX = re.compile(r'(\d+) (\w+ \w+) bags?')
SubBag = tuple[int, str]
Rule = tuple[str, list[SubBag]]
def parse_rules(input_file: str) -> list[Rule]:
with open(input_file) as f:
return [
parse_rule(rule_text)
for rule_... | null | day07/day7.py | day7.py | py | 2,313 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
337679872 | import pygame as pg
import random, math
pg.init()
WIDTH, HEIGHT = 500, 500
WIN = pg.display.set_mode((WIDTH, HEIGHT))
BLACK = 0, 0, 0
WHITE = 255, 255, 255
RED = 255, 0, 0
GREEN = 0, 255, 0
BLUE = 0, 0, 255
YELLOW = 255, 255, 0
FPS = 60
NB_CIVS = 10
NB_STARS = 5
class Civ:
def __init__(self, pos, classe=1, color=... | null | _Old_PygameModel/signal-cercle.py | signal-cercle.py | py | 3,624 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.circ... |
216828049 | import sklearn
from sklearn.datasets import make_regression, make_classification
from sklearn.linear_model import SGDRegressor, SGDClassifier
import pandas as pd
import numpy as np
import SPEC
from scipy import stats
from sklearn.metrics.pairwise import rbf_kernel
from sklearn.mixture import BayesianGaussianMixture
... | null | saliency/ogfs_classifier.py | ogfs_classifier.py | py | 9,060 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "SPEC.similarity_classification",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.mixt... |
606609541 | # Copyright 2017 Google Inc. All Rights Reserved.
#
# 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 law or a... | null | tensorflow_transform/impl_helper_test.py | impl_helper_test.py | py | 25,695 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.python.framework.test_util.TensorFlowTestCase",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.framework.test_util",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "tensorflow_transform.tf_metadata.dataset_sche... |
480024205 | try:
import pptx
except ModuleNotFoundError as e:
Warning(
"Please install python-pptx for Powerpoint "
"reports. - conda install python-pptx"
)
raise e
from tigerml.core.utils import slugify
from .lib import create_ppt_report
from .Report import PptReport, Section
from .Slide import Sl... | null | src/ta_lib/_vendor/tigerml/core/reports/ppt/__init__.py | __init__.py | py | 704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pptx.Presentation",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tigerml.core.utils.slugify",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tigerml.core.utils.slugify",
"line_number": 25,
"usage_type": "call"
}
] |
302580967 | from copy import deepcopy
import numpy as np
import pandas as pd
from sklearn.metrics import matthews_corrcoef
from sklearn.model_selection import StratifiedKFold
from sklearn.preprocessing import MinMaxScaler
from sklearn.svm import SVC
from .constants import RANDOM_STATE
class GOA_SVM:
ID_POS = 0 # Position
... | null | apps/goa_svm.py | goa_svm.py | py | 7,333 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.rand... |
322875852 | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | null | 2019/finals/crypto-vmac/vmac64.py | vmac64.py | py | 4,341 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cryptography.hazmat.primitives.ciphers.Cipher",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.ciphers.algorithms.AES",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.ciphers.algori... |
639108513 | #!/usr/bin/env python
from django.conf import settings
def filter(request):
context_extras = {}
return context_extras
def menu(request):
parts = request.META["PATH_INFO"][1:].split('/', 3)
cur_appname = 'Unknown'
cur_action = 'Unknown'
if len(parts) == 2:
(cur_appname, cur_... | null | src/levis/context_processors.py | context_processors.py | py | 790 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.settings.MENU_TREE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 21,
"usage_type": "name"
}
] |
374726297 | import sys
import logging
import datetime
from src.helpers import utils
# Creating a Custom Logger for logging the process #
def setup_custom_logger(name):
class ContextFilter(logging.Filter):
def filter(self, record):
record.memcalc = utils.memcalc()
record.cpucalc = utils.cpucalc(... | null | src/helpers/logger.py | logger.py | py | 877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Filter",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "src.helpers.utils.memcalc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "src.helpers.utils",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "src.h... |
652809159 | from glob import glob
path = './'
list_im = glob(path + '*.jpg')
list_im
from PIL import Image
rm_img = []
for img in list_im:
try:
org = Image.open(img)
except:
rm_img.append(img)
for i in rm_img:
try:
os.remove(i)
except:
print(i)
print("File Removed!") | null | bad_image.py | bad_image.py | py | 320 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
}
] |
522118666 | """Simple excel report drawing framework
The main idea here is to have a plotter-like object (called a drawer),
that moves through an excel sheet matrix and draws objects that are supplied to it.
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use consistent encoding
fro... | null | setup.py | setup.py | py | 2,056 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_numbe... |
359652036 | import getpass
import os
from pathlib import Path
import urllib.parse
import appdirs
from .utils import (
client_and_path_from_uri,
client_from_catalog,
handle_error,
)
DEFAULT_TOKEN_CACHE = os.getenv(
"TILED_TOKEN_CACHE", os.path.join(appdirs.user_config_dir("tiled"), "tokens")
)
def _token_direc... | null | tiled/client/authentication.py | authentication.py | py | 6,222 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "appdirs.user_config_dir",
"li... |
66591771 | """
Script to illustrate the result of the CNN on one example.
"""
#Choose number of training samples used to build the CNN. The CNN has to be trained beforehand
Ntrain = 10000
import numpy as np
import os
import matplotlib.pyplot as plt
from keras.datasets import mnist
from keras import models
fileModel = "Mnist_mo... | null | Mnist_example.py | Mnist_example.py | py | 1,352 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 25,
"usage_type": "call"
},
{
"api_... |
269464104 | import cv2
import numpy as np
from matplotlib import pyplot as plt
from argparse import ArgumentParser
# module pour utiliser une ligne pour taper les arguments d'un fichier sur le terminal
parser = ArgumentParser()
parser.add_argument(dest="video", type=int, help="video d'entrée")
input_args = parser.parse_args()
vid... | null | TP2/Validation/SaveImgfromVideos.py | SaveImgfromVideos.py | py | 1,156 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCap... |
140660256 | from unittest import TestCase
from yanother.higher.fnot import fnot, fnot_tracable
from itertools import product
from operator import eq, ne
class T(TestCase):
def test(self):
ab = 0, 1
feed = tuple(product(ab, ab))
def expected():
for op in eq, ne:
for a, b i... | null | ztest/higher/fnot.py | fnot.py | py | 676 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "itertools.product",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "operator.eq",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "operator.ne",
"lin... |
109282942 | #!/usr/bin/env python
"""
The main module file that will be invoked by the one line installer.
Usage: gather_metrics [operating system(DEBIAN|REDHAT)] log file]
If log file is provided, then errors will be logged to such file.
Otherwise, all errors will be flushed.
It first checks the dependency this module needs.
D... | null | python_installer/gather_metrics.py | gather_metrics.py | py | 11,756 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "install_utils.print_step",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.s... |
436649654 | import tensorflow as tf
import collections
import numpy
def loadData(datapath, labelpath,classnum=100):
bookvecs = []
labels = []
id2index = dict()
index2id = dict()
with tf.gfile.FastGFile(labelpath) as f:
lines = f.readlines();
marks = []
for line in lines:
l... | null | huaben/bookmark/data_set.py | data_set.py | py | 5,118 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.gfile.FastGFile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.gfile",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "... |
116800203 | import os
import cv2
import numpy as np
from keras import Sequential
from keras.layers import Conv2D, MaxPooling2D, BatchNormalization, Flatten, Dense, Activation, Dropout
from keras.optimizers import SGD
from keras.utils import np_utils
from sklearn.metrics import accuracy_score
from sklearn.preprocessing import Labe... | null | neural_network.py | neural_network.py | py | 2,823 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.Sequential",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.layers.MaxPooling2D",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.... |
57073359 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import mptt.fields
import core.models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
op... | null | project/core/migrations/0001_initial.py | 0001_initial.py | py | 3,429 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 13,
"usage_type": "ca... |
392364257 | # ==========================================
# Title: Model Learning Code
# Author: Yash Trikannad
# ==========================================
import tensorflow as tf
import numpy as np
import gym
class Model:
"""
Learns a model of an environment using a DNN for function approximation.
Data is collecte... | null | model_learning.py | model_learning.py | py | 13,824 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.make",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.ge... |
517806384 | from setuptools import setup, find_namespace_packages
from pathlib import Path
ROOT = Path(__file__).resolve().parent
with open(ROOT / 'README.md', 'r') as readme:
long_description = readme.read()
exec(open(ROOT / 'dmod/requestservice/_version.py').read())
setup(
name='dmod-requestservice',
version=__ve... | null | python/services/requestservice/setup.py | setup.py | py | 701 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.find_namespace_packages",
"line_number": 22,
"usage_type": "call"
}
] |
85868690 | import json
import requests
import datetime
from weather_report_base import WeatherReportBase
from engine.private_data import PrivateData
from watering_response import WateringResponse
class WeatherReportCurrent(WeatherReportBase):
def __init__(self, successor, logger):
super(WeatherReportCurrent, self... | null | src/server/engine/weather/weather_report_current.py | weather_report_current.py | py | 1,850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "weather_report_base.WeatherReportBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "engine.private_data.PrivateData",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "watering_response.WateringResponse",
"line_number": 19,
"usage_type"... |
337911035 | """
Написать функцию host_range_ping_tab(), возможности которой основаны на функции из примера 2.
Но в данном случае результат должен быть итоговым по всем ip-адресам, представленным в табличном формате
(использовать модуль tabulate). Таблица должна состоять из двух колонок
"""
from tabulate import tabulate
from task_... | null | lessons/lesson01/task_3.py | task_3.py | py | 2,254 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "task_2.host_range_ping",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 19,
"usage_type": "call"
}
] |
29940419 | from datetime import datetime, timedelta
def check_time(date_time, format_str):
if datetime.now().time() > datetime.strptime(date_time, format_str).time():
return True
else:
return False
def check_date(date_str, format_str):
if datetime.now().date() == datetime.strptime(date_str, format_... | null | utilities/DateHelpers.py | DateHelpers.py | py | 626 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datet... |
633837950 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 4 12:10:26 2018
@author: marcu
"""
'''
This corpus contains a metadata-rich collection of fictional conversations extracted from raw movie scripts:
- 220,579 conversational exchanges between 10,292 pairs of movie characters
- involves 9,035 characters from 617 movies
-... | null | Marcus/Movies_sentiment.py | Movies_sentiment.py | py | 13,788 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.asarray",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "keras.layers.Embedding",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel... |
96248084 | #To dump the json into files
import json
#To execute the main shell script (main.sh)
import subprocess
from AzureSite.settings import BASE_DIR
import logging
import os
logger = logging.getLogger(__name__)
logger.error(BASE_DIR)
list_json=["arima","prophet","holtwinter","lstm","xgboost","operational_research","os","tim... | null | SupplyChain/databricks_linux/databricks.py | databricks.py | py | 2,311 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "AzureSite.settings.BASE_DIR",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "AzureSite.settings.BASE_DIR",
"line_number": 55,
"usage_type": "name"
},
{
"api_n... |
516861071 | # -*- coding: utf-8 -*-
__version__ = '0.1.4'
__author__ = 'Ossama Edbali (ossedb@gmail.com)'
import os
import datetime
import json
import shutil
import pytz
from pathlib import Path
from slugify import slugify
from .utils import copy_directory
from .pylog import action
from .utils import parse_metadata
from .reader... | null | statico/contents.py | contents.py | py | 6,864 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date.today",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "slugify.slugify",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",... |
322516146 | import os
import time
import json
import hashlib
import boto3
from pympler import asizeof
from .dynamodb_table import DynamodbTable
EXPIRATION_DELAY = 6 * 24 * 3600
# we set expiration time to 6 days
# because it will be removed between +1/+2 days of expiration so 7/8 days
MAX_ITEMS_SIZE = (400 * (10 ** 3))
MAX_ITEMS... | null | artefact/connectors/kinesis/api/digest_table.py | digest_table.py | py | 5,697 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dynamodb_table.DynamodbTable",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pympler.asizeof.asizeof",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pymple... |
81690254 | from typing import Dict, List, Optional, Type
import kubernetes
from kubernetes.client import V1beta1CronJob, V1Deployment, V1StatefulSet
from loguru import logger
from streams_explorer.core.config import settings
from streams_explorer.core.k8s_app import K8sApp
from streams_explorer.core.node_info_extractor import (... | null | backend/streams_explorer/streams_explorer.py | streams_explorer.py | py | 7,920 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "streams_explorer.core.config.settings.k8s",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "streams_explorer.core.config.settings",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "streams_explorer.core.config.settings.k8s",
"line_number... |
520976822 | import cv2
import numpy as np
import time
import sys
from imutils import face_utils
from face_utilities import Face_utilities
from signal_processing import Signal_processing
from collections import OrderedDict
def draw_poly(bg, shape, pts, color):
poly = np.array([[shape[pts[0]][0],shape[pts[1]][1]],[s... | null | Heart-rate-measurement-using-camera-master/Heart-rate-measurement-using-camera-master/new_update/ROIs_selection.py | ROIs_selection.py | py | 2,553 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.fillPoly",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
... |
14879168 | from math import inf
from keras.layers import Input, Dense, Conv2D, MaxPooling2D, Flatten, Dropout, Embedding, Reshape
from keras.models import Model
from keras.optimizers import Adam
from development.BioNer.nen.auto_encoder import helpers
from development.BioNer.nen.auto_encoder.constants import *
from development.Bi... | null | nen/auto_encoder/models.py | models.py | py | 6,890 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.inf",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "development.BioNer.nen.auto_encoder.helpers.display_history",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "development.BioNer.nen.auto_encoder.helpers",
"line_number": 81,
"us... |
91003353 | """
Copyright 2021 Lukas Kreisköther
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
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, soft... | null | SPACE/random_concept_building.py | random_concept_building.py | py | 5,869 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number":... |
329955339 | from matplotlib import pyplot as plt
import pickle
import math
with open("attr.pkl", "rb") as f:
attrList = pickle.load(f)
# Histogram
# tags
tagMap = {}
tagList = []
tagNum = []
for i in attrList:
tags = i["tags"]
for j in tags:
if not j in tagMap:
tagMap[j] = len(tagList)
... | null | lab2/tags.py | tags.py | py | 510 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
608149261 | from typing import List
import os
import subprocess
from subprocess import TimeoutExpired
import uuid
import shutil
import tarfile
from datetime import datetime
from flask import (
Blueprint,
current_app as flask_app,
render_template,
request,
g)
from werkzeug.utils import secure_filename
from model... | null | app/projects.py | projects.py | py | 7,957 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "flask.g.auth"... |
608390613 | # License: BSD 3 clause
import unittest
import numpy as np
from scipy.sparse import csr_matrix
from tick.linear_model import SimuLinReg, ModelLinReg
from tick.base_model.tests.generalized_linear_model import TestGLM
class ModelLinRegTest(object):
def test_ModelLinReg(self):
"""...Numerical consistency ... | null | tick/linear_model/tests/model_linreg_test.py | model_linreg_test.py | py | 3,504 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
560943842 | # Standard imports
import numpy as np
import matplotlib.pyplot as plt
# Compute the predicted values
def hypothesis(weights,input_x):
# Weights = (n+1)x1, n - degree of polynomial
# input_x = m x (n+1), m - no. of points
# Output = m x 1 - predicted values for each example
result = np.matmul(input_x,weights)
retu... | null | Assignment 1 LR/Problem 2/question2.py | question2.py | py | 2,578 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.matmul",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_... |
455742798 | import datetime
import pendulum
import pytest
import prefect
from prefect.engine.signals import (
FAIL,
LOOP,
PAUSE,
RETRY,
SKIP,
SUCCESS,
TRIGGERFAIL,
VALIDATIONFAIL,
PrefectStateSignal,
signal_from_state,
)
from prefect.engine.state import (
Failed,
Looped,
Paused... | null | tests/engine/test_signals.py | test_signals.py | py | 3,818 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "prefect.engine.signals.PrefectStateSignal",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "prefect.exceptions.PrefectSignal",
"line_number": 40,
"usage_type": "argument"
... |
568222446 | import urllib, json, urllib.request
import pprint
from openpyxl import Workbook
import socket
# Chengdu 2158433
# Brisbane 1100661
# Melbourne 1103816
# New York 2459115
# Sydney 1105779
cities = [
'Brisbane',
'Chengdu',
'Melbourne',
'New York',
'Sydney'
]
woeids = [
1100661,
2158433,... | null | weather.py | weather.py | py | 2,853 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.parse.urlencode",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pprint.pprint",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "urllib.request... |
187757837 | from numpy import genfromtxt
import numpy as np
from scipy import optimize
# loosely adopted from Welch labs tutorial
class NeuralNetwork(object):
def __init__(self):
#Define Hyperparameters
self.inputLayerSize = 7
self.hiddenLayerSize = 3
self.outputLayerSize = 1
... | null | business/regression.py | regression.py | py | 5,246 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.randn",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
594039196 | """
Demonstration of the GazeTracking library.
Check the README.md for complete documentation.
"""
import cv2
from gaze_tracking import GazeTracking
from Drowsiness_Detection import DrowsinessDetection
from scipy.spatial import distance
from imutils import face_utils
from imutils.video import VideoStream
from threadin... | null | example.py | example.py | py | 6,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gaze_tracking.GazeTracking",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Drowsiness_Detection.DrowsinessDetection",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 23,
"usage_type": "call"
},
{
... |
610160430 | # Copyright (c) 2018 Rolls-Royce Power Systems AG. All rights reserved.
import logging
import json
import os
from hashlib import md5 as hashlib_md5
from concurrent.futures import ThreadPoolExecutor
from base64 import b64decode
from binascii import Error as binascii_Error
import requests
from IoticAgent i... | null | __offline/__Digital_Twin/__release2/__release2_sprint2/impl/impl_docu.py | impl_docu.py | py | 9,435 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ioticlabs.dt.api.integrator.IntegratorCallbacks",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "IoticAgent.ThingRunner",
"line_number": 32,
"usage_type": "name"
},
... |
404810460 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.macosx-10.7-x86_64/egg/notekeras/model/yolo.py
# Compiled at: 2020-03-29 10:33:01
# Size of source mod 2**32: 29919 bytes
import os, random, cv2, nump... | null | pycfiles/notekeras-0.0.8-py3.7/yolo.cpython-37.py | yolo.cpython-37.py | py | 27,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Input",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "notekeras.compo... |
468392012 | import os
from flask import Flask, Request, render_template, request
from pyfiglet import Figlet
ENVIRONMENT = os.environ.get("ENVIRONMENT", "Localhost") # where the app is running
app = Flask("7apps")
fmt = Figlet(font="slant") # render our greeting in a fancy ascii font
def greeting(req: Request):
name = r... | null | app/main.py | main.py | py | 683 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyfiglet.Figlet",
"line_n... |
468753397 | #!/usr/bin/env python
# PySys System Test Framework, Copyright (C) 2006-2018 M.B.Grieve
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your ... | null | pysys/process/user.py | user.py | py | 35,314 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pysys.log",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 162,
"usage_type": "call"
},
{
"api_name": "pysys.process.helper.Proc... |
270365995 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#########################################################################################################################################
#Copied for Dash:
# Basics Requirements
import pathlib
import os
import dash
from dash.dependencies import Input, Output, State, Client... | null | app/index_h.py | index_h.py | py | 9,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dash_bootstrap_components.NavItem",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.NavLink",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.Navbar",
"line_number": 43,
"usage_type": "... |
301396889 | from django.db import models
from django.core import validators
from django.contrib.auth.models import (PermissionsMixin, AbstractBaseUser,
UserManager)
import re
class User(AbstractBaseUser, PermissionsMixin):
username = models.CharField(
max_length = 255,
unique = True,
validators = [... | null | app/models.py | models.py | py | 3,115 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.models.AbstractBaseUser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.PermissionsMixin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 8,
"usa... |
521745461 | import sys, re, pymongo
from pprint import pprint
client = pymongo.MongoClient (host="da0.eecs.utk.edu")
# Define the source and target collections
source = client['test']['repos']
target = client['ossfinder']['repositories']
# Query setup
minForks = 20
minWatchers = 20
skip = 0
limit = 500
count = 4
total = 0
query... | null | data-discovery/repos-transfer.py | repos-transfer.py | py | 1,301 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
}
] |
276864542 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('users', '0016_member_source_website'),
]
operations = [
migrations.AlterField(
model_name='member',
... | null | grh/users/migrations/0017_auto_20150212_0504.py | 0017_auto_20150212_0504.py | py | 635 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
444126394 | # Built-in packages
import time
# ASE
from ase import Atoms
from ase.io import read, write
from ase.parallel import world
# GPAW
from gpaw import GPAW
from gpaw.tddft import *
# Load the ground state calculator from task1
td_calc = TDDFT('../task1/groundCalc.gpw')
# Set up time propagation DFT
time_step = 30 # 30 ... | null | computational_materials_and_molecular_physics/HW4/task4/task4.py | task4.py | py | 1,775 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ase.parallel.world.rank",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "ase.parallel.world",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ase.paralle... |
172932498 | # -*- coding: utf-8 -*
#rid 51 STP
import xlsxwriter
from io import BytesIO
import datetime
from .. import stp_config
def form_url(params):
base_url = str(stp_config.CONST.API_URL_PREFIX) + 'stp_contractor_plant_tree/'
base_url += str(params["year"])
return base_url
#Contractor Plants Trees
def render(res, params... | null | stp/report_classes/stp_cpt.py | stp_cpt.py | py | 3,947 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.BytesIO",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "xlsxwriter.Workbook",
"line_number": 23,
"usage_type": "call"
}
] |
262287974 | # pylint: disable=missing-module-docstring
# pylint: disable=missing-function-docstring
# pylint: disable=missing-class-docstring
# pylint: disable=unused-argument
# pylint: disable=arguments-differ
# pylint: disable= expression-not-assigned
from django.contrib import admin
from django.template import loader
from djan... | null | B7FunDjango/chat/admin.py | admin.py | py | 3,430 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 16,
"usage_type": "call"
},
... |
631180112 | import socket
import threading
import time
import queue
from irc.config import NICK, CHANNEL, PASSWORD
_wait = .01
class IRC(object):
"""A simple IRC interface that can handle simultaneous reading and writing.
Its interface is similar to those in the io module."""
def __init__(self, nick=NICK, channel=... | null | irc/simple_twitch_irc.py | simple_twitch_irc.py | py | 6,353 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "irc.config.NICK",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "irc.config.CHANNEL",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "irc.config.PASSWORD",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "queue.Queue",
... |
361392323 | __author__ = 'spacegoing'
##
import pickle
from ModelUtils.measures import getAllMeasures, getMeasureCombo, comp_F1_Score
from sklearn.metrics import confusion_matrix
from itertools import combinations
from ModelUtils.trainModel import getDocIndexScoreInfo, getTrainSet
from DataMisc.contestParameters import loadTrainLa... | null | src/ALTA2015/ModelUtils/featuresSelection.py | featuresSelection.py | py | 3,807 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "ModelUtils.measures.getAllMeasures",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": ... |
483891921 | import logging as log
# 方法名称：init
# 描述：此方法主要进行初始化缓存信息
def init():
global _cache
_cache = dict()
_cache['A'] = dict()
_cache['PTR'] = dict()
_cache['NS'] = dict()
_cache['AAAA'] = dict()
# 方法名称：_getValue
def _getValue(_type, _key):
return _cache[_type][_key]
# 方法名称：_getValue
def _setVal... | null | packet/cache.py | cache.py | py | 709 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.info",
"line_number": 23,
"usage_type": "call"
}
] |
605826269 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
### BEGIN LICENSE
# Copyright (C) 2021 KylinSoft Co., Ltd.
#
# Authors:
# Yang Min yangmin@kylinos.cn
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software F... | null | kyasDbus/systemdaemon/kacdrominfo.py | kacdrominfo.py | py | 5,254 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.Popen",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"li... |
112705617 | import mysql.connector
from datetime import datetime
class DBWorker():
# connection = mysql.connector.connect(user='root', password='root',
# host='localhost',
# database='csgostats',
# auth_plugin='my... | null | DBWorker.py | DBWorker.py | py | 5,095 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 9,
"usage_type": "name"
},
{
"api... |
58512353 | import substeps
import util
import numpy as np
# import matplotlib
# matplotlib.use('TkAgg')
import matplotlib.animation as animate
import matplotlib.pyplot as plt
import plotting_utls as pltuls
import time
import sys
# ==========
# This piece is for testing the entire updating process (shifts, coefficients, Ws)
# ... | null | muscle_synergies/test_all_parts_20.py | test_all_parts_20.py | py | 9,343 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.uniform",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
196020664 | from fnc_config import FNCConfig
from tabulate import tabulate
import re
import csv
import os
from pprint import pprint
import argparse
def parseNumList(string):
return sum((_parse(s) for s in string.split(',')), [])
def _parse(string):
m = re.match(r'(\d+)(?:-(\d+))?$', string)
# ^ (or use .split('-'). ... | null | show.py | show.py | py | 5,092 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.match",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "fnc_confi... |
498747240 | """Add a name column on NodePoolPolicy
Revision ID: a4d56bb32148
Revises: 5e96c3b8d67d
Create Date: 2016-10-02 11:04:43.471850
"""
# revision identifiers, used by Alembic.
revision = 'a4d56bb32148'
down_revision = '5e96c3b8d67d'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
... | null | oasis/db/sqlalchemy/alembic/versions/a4d56bb32148_add_a_name_column_on_nodepoolpolicy.py | a4d56bb32148_add_a_name_column_on_nodepoolpolicy.py | py | 689 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
182198556 | # Definition of the nets for Critic and Actor
# hyper-parameters
# - [The final layer weights and biases of both the actor and critic were initialized
# from a uniform distribution [−3×10−3, 3×10−3]]ddpg.p.
# - [Other layers were initialized from uniform distributions [−1/√f , 1/√f] where f is the fan-in of the lay... | null | p3_collab-compet/src_draft_maddpg/networkforall.py | networkforall.py | py | 1,794 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_... |
600897073 | from moviepy.editor import VideoFileClip
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
import cv2
import glob
import time
from sklearn.svm import LinearSVC
from sklearn.preprocessing import StandardScaler
from skimage.feature import hog
from sklearn.model_selection import... | null | Features.py | Features.py | py | 25,515 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.histogram",
"line_number... |
407998300 | from __future__ import print_function
import numpy as np
np.random.seed(1234)
from keras.datasets import mnist, cifar10
from keras.models import Sequential
from keras.callbacks import History
from keras.models import Model
from keras.layers import Convolution2D, MaxPooling2D, AveragePooling2D, Input, ZeroPadding2D
fro... | null | sanity.py | sanity.py | py | 9,691 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.setrecursionlimit",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.dataset... |
389008855 | """Defines a node for the docstring AST."""
from collections import deque
from enum import Enum
from typing import ( # noqa: F401
Any,
List,
Iterator,
Tuple,
Optional,
)
from .token import ( # noqa: F401
Token,
)
class NodeType(Enum):
"""The type of node in a docstring."""
# Non-Te... | null | darglint/node.py | node.py | py | 6,478 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "token.line_number",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "token.line_number",
"line_number": 88,
"usage_type": "attribute"
},
{
"api_name": "collections.d... |
499928694 | from __future__ import print_function
import os
import cv2
from models import *
import torch
import numpy as np
import time
import math
from data.dataset import *
from torch.nn import DataParallel
import matplotlib.pyplot as plt
def cosin_metric(x1, x2):
"""
求两向量的cosin夹角
:param x1:
:param x2:
:ret... | null | in_pytorch/MobileNetV3_MixNet/verify.py | verify.py | py | 4,712 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.dot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "math.acos",
"line_n... |
88830879 | import json
from flask import session, redirect, url_for, render_template, flash, request
from .blueprint import demo_blueprint
from app.models import Subdomain
from app.demo.forms import CategoriesForm
@demo_blueprint.route("/categories", methods=["GET", "POST"])
def categories():
form = CategoriesForm(request.f... | null | app/demo/views/categories.py | categories.py | py | 1,337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.demo.forms.CategoriesForm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "f... |
167020556 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseNotFound, HttpResponseRedirect
from django.urls import reverse
from django.template.loader import render_to_string
# Create your views here.
monthly_challenges = {
"january": "Eat no meat",
"february": "Walk for 20 mins every... | null | session_templates/monthly_challenge/challenges/views.py | views.py | py | 1,458 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseNotFound",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 34,
"usage_type": "call"
},
{
"api_... |
642423683 | """WConsole class."""
from PyQt5 import QtWidgets, QtCore, QtGui
import matplotlib
import matplotlib.pyplot as plt
from cryspy_editor.widgets.matplotlib import Graph
class WOutput(QtWidgets.QScrollArea):
"""WFunction class."""
def __init__(self, parent=None):
super(WOutput, self).__init__(parent)
... | null | cryspy_editor/widgets/w_output.py | w_output.py | py | 2,671 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QScrollArea",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": ... |
528825953 | # this file is responsible to describe the methods
import bot.booking.constants as const
import os
from selenium import webdriver
from bot.booking.booking_filtration import BookingFiltration
from bot.booking.booking_report import BookingReport
from prettytable import PrettyTable
class Booking(webdriver.Chrome):
... | null | booking/booking.py | booking.py | py | 3,879 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "bot... |
253675878 | import datetime
from pathlib import Path
import click
import h5py
import numpy as np
import pandas as pd
import torch
import torch.optim as optim
from sklearn.metrics import roc_auc_score
from torch.nn.modules.distance import PairwiseDistance
from torch.utils.data import DataLoader
from torch.utils.tensorboard import ... | null | indoorhack/tasks/train.py | train.py | py | 6,435 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "indoorhack.pipelines.pipeline",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 40,
"usage_type": "attribute"
},
{
"api... |
236351207 | import tensorflow as tf
import numpy as np
from helper import MNIST
from matplotlib import pyplot as plt
from layers import feed_forward_layer, conv_layer
def get_siamnese(X):
"""
creates the siamnese stem for the neural network. This is the part both images are send through sequentially
:param X: the inpu... | null | simnet_MNIST.py | simnet_MNIST.py | py | 6,651 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.variable_scope",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "layers.conv_layer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.nn",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensor... |
251066451 | import time
import threading
import os
from multiprocessing import Process
"""
$ time python multi-processing.py
ID of process running main program: 2344
Main thread name: MainThread
Waiting for processes to finish
Dispatcher thread name: MainThread
ID of process running dispatcher thread: 2345
Dispatcher thread nam... | null | projects/concurrency-app/multi-processing.py | multi-processing.py | py | 1,178 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "threading.current_thread",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_n... |
155273178 | """
12/11/2019
premiere version de l'import general
deve : Mahli
concu initialement pour l'architecture general c'est fonction est une fonction
de gestion des ressources fichiers, qui ne prend que tres peux sur le cpu et le
gpu.
Elle a pour but d'eviter et de cibler les problemes qui pourraient-etre liés a
tel ... | null | Main.py | Main.py | py | 4,509 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.image.load",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "pygame.error",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.lo... |
157930769 | # 816000772
# Christopher Sahadeo
# christophersahadeo@gmail.com
import collections
from collections import deque
import read_edgelist
import pprint
pp = pprint.PrettyPrinter(indent=4)
def printLists(iteration_number, open, closed):
print('{}. open = {}; closed = {}'.format(iteration_number, open, closed))
de... | null | Assignments/Assignment_1/dfs.py | dfs.py | py | 2,229 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "read_edgelist.read",
"line_number": 72,
"usage_type": "call"
}
] |
390615374 | import urllib.request
import json
import sys
def get_json(url):
resposta = urllib.request.urlopen(url)
json_string = resposta.read().decode('utf-8')
json_obj = json.loads(json_string)
return json_obj
if '--h' in sys.argv:
print("\nUSE:\n\tfb_comment_mining facebook_page [tags]\n\n" +
"where\n\tfacebook_page\t... | null | fb_comment_mining.py | fb_comment_mining.py | py | 2,776 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 6,
"usage_type": "name"
},
{
"api_name":... |
617805744 | import scrapy
import json
class ND_spider(scrapy.Spider):
'''Queries the North Dakota Secy of State Business Search page and copies resulting info into JSON lines file. Expected usage:
$ scrapy runspider nd_spider.py -a query=<str> -s FEED_URI=<filepath> '''
name = "ND_business_search"
... | null | nd_spider.py | nd_spider.py | py | 1,924 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scrapy.http.JsonRequest",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scrapy.http",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "json.loads... |
344055889 | #!/usr/bin/env python3
import os
import time
import datetime
import paramiko
# All the options for the job
datasets = ['cifar10']
epochs = [300]
nets = ['vgg16', 'alexnet', 'resnet34']
batch_sizes = [512]
epsilon = ['1e-3']
bounds = [0.7]
#bounds = [0]
server = "login.dei.unipd.it"
username = "stringherm"
lr = 0.001
o... | null | scripts/cluster_SGE.py | cluster_SGE.py | py | 3,496 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "paramiko.SSHClient",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "paramiko.AutoAddPolicy",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
26547088 | # utils for contraction notebook
import numpy as np
from matplotlib import pyplot as plt
def sim_sys(A, dt, x0, N):
n = x0.shape[0]
x = np.zeros((N, n))
x[0] = x0
for i in xrange(N-1):
x[i+1] = A.dot(x[i]) * dt + x[i]
return x
def phase(A, x1lim=(-1., 1), x2lim=(-1., 1.), n1=20, n2=20, a... | null | slotine/utils/contraction.py | contraction.py | py | 2,522 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_n... |
239402404 | import csv
import itertools
import os
import pathlib
import matplotlib.colors as mcolors
import matplotlib.pyplot as plt
import nashpy as nash
import numpy as np
import pandas as pd
import ambulance_game as abg
# from nashpy.algorithms.lemke_howson_lex import lemke_howson_lex
def get_index_of_values(problem_parame... | null | data/game_data/nbs/main.py | main.py | py | 27,786 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.isclose",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.isclose",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.isclose",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.isclose",
"line_n... |
470564062 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 23 15:33:30 2017
@author: li
"""
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 23 14:12:40 2017
@author: li
"""
import torch
import torch.utils.data as Data
from torchsample import transforms as tensor_tf
from skimage impor... | null | custom/custom_data_reflection_simulation.py | custom_data_reflection_simulation.py | py | 4,533 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm.cdf",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
... |
582611796 | # -*- coding: utf-8 -*-
"""
smpa.models.core
~~~~~~~~~~~~~~~~
BaseModel class
"""
import json
import arrow
import datetime
from importlib import import_module
from schematics.models import Model, ModelMeta
from schematics.transforms import blacklist
from inflection import tableize, underscore
from bson.ob... | null | app/smpa/models/core.py | core.py | py | 7,798 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "schematics.types.BaseType",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"lin... |
156678976 | """
anipotential.py: Implements the ANI potential function using TorchANI.
This is part of the OpenMM molecular simulation toolkit originating from
Simbios, the NIH National Center for Physics-Based Simulation of
Biological Structures at Stanford, funded under the NIH Roadmap for
Medical Research, grant U54 GM072970. ... | null | openmmml/models/anipotential.py | anipotential.py | py | 5,521 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openmmml.mlpotential.MLPotentialImplFactory",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "openmmml.mlpotential.MLPotentialImpl",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "openmmml.mlpotential.MLPotentialImpl",
"line_number": 47,
... |
87179265 | from dataContainers import *
import psycopg2
import psycopg2.extras
import datetime
import logging
import pickle
import copy
_logger = logging.getLogger()
class PostgresWrapper():
def __init__(self, connectionString, force_quiet=False):
self.connection_string = connectionString
self.force_quiet ... | null | postgresWrapper.py | postgresWrapper.py | py | 6,990 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "psycopg2.extras",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.Inte... |
458324066 | import json
from flask import Flask, jsonify, url_for, request, render_template, redirect
#import pyodbc as pyodbc
app = Flask(__name__)
with open('customers.json') as f:
customers = json.load(f)
@app.route('/', methods = ["GET", "POST"])
def home():
if request.method == "POST":
kundnum... | null | app.py | app.py | py | 857 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"li... |
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