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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
456971374 | from itertools import groupby
from numbers import Number
import numpy as np
import param
from .dimension import Dimension, Dimensioned, ViewableElement
from .layout import Composable, Layout, AdjointLayout, NdLayout
from .ndmapping import OrderedDict, UniformNdMapping, NdMapping
from .overlay import Overlayable, NdOv... | null | holoviews/core/element.py | element.py | py | 37,309 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dimension.ViewableElement",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "layout.Composable",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "overlay.Overlayable",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "param... |
225802118 | # libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.spatial import distance
###########################################################################
######## Problem #1: EigenVectors using Euclidean Distance Method ######
################################################... | null | Excercises/Numpy_Exercises.py | Numpy_Exercises.py | py | 8,053 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
396603614 | #
# @lc app=leetcode id=93 lang=python3
#
# [93] Restore IP Addresses
#
# https://leetcode.com/problems/restore-ip-addresses/description/
#
# algorithms
# Medium (37.75%)
# Likes: 1805
# Dislikes: 570
# Total Accepted: 237.3K
# Total Submissions: 620K
# Testcase Example: '"25525511135"'
#
# Given a string s cont... | null | Python/93.restore-ip-addresses.py | 93.restore-ip-addresses.py | py | 3,228 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 97,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 74,
"usage_type": "name"
}
] |
64247489 | import random
import json
import os
from pico2d import *
import game_framework
import interface_state
name = "MainState"
cookie = None
background = None
pet = None
coin = None
jelly = None
obs = None
input = None
item = None
font = None
class Background:
def __init__(self):
self.bgm = load_music('resou... | null | CookieRun/CookieRun/main_state.py | main_state.py | py | 39,836 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.randint",
"line_number": 386,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 396,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 554,
"usage_type": "call"
},
{
"api_name": "json.load",
"line... |
613354108 | # -*- coding: utf-8 -*-
"""
General analysis functions.
Try to write all methods such that they take a dataframe as input
and return a dataframe or list of dataframes.
"""
import datetime as dt
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import statsmodels.formula.api as fm
from statsmodels... | null | opengrid/library/regression.py | regression.py | py | 17,155 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "analysis.Analysis",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "statsmodels.formula.api.ols",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "statsmodels.formula.api",
"line_number": 107,
"usage_type": "name"
},
{
"api_name"... |
242159770 | import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output,Input
import plotly.express as px
import pandas as pd
import sqlite3
from datetime import date
con = sqlite3.connect('data.sqlite')
def select(sql):
retu... | null | north.py | north.py | py | 17,234 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dash.Dash",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.t... |
166777273 | #id_duplicates_functions
import pandas as pd
from scipy.spatial import cKDTree
from scipy.spatial.distance import pdist, squareform
from fuzzywuzzy import fuzz
import numpy as np
from itertools import combinations
# from postal import expand
# from postal.parser import parse_address
# from postal.expand import expand_a... | null | data_prep_scripts/id_duplicates_functions.py | id_duplicates_functions.py | py | 4,265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fuzzywuzzy.fuzz.ratio",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "fuzzywuzzy.fuzz",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "fuzzywuzzy.fuzz.partial_token_sort_ratio",
"line_number": 51,
"usage_type": "call"
},
{
"ap... |
226704517 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
### Andres Iwan ###
from bottle import route, run, template, static_file, get, post, request
import json
import urllib2
import random
import pickle
from os import listdir, path
from sys import argv
word_site = "http://svnweb.freebsd.org/csrg/share/dict/words?view=co&cont... | null | app.py | app.py | py | 2,654 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib2.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bottle.template",
"line_n... |
435787592 | # -*- coding: utf-8 -*-
"""
@author: Mik
"""
import csv
import time
import tweepy
# Copy the api key, the api secret, the access token and the access token secret from the relevant page on your Twitter app
api_key = ''
api_secret = ''
access_token = '-'
access_token_secret = ''
# You don't need to make any chang... | null | twittercrawling/followers.py | followers.py | py | 1,915 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"li... |
225660231 | import argparse
import os
from parsel import Selector
import requests
import subprocess
import sys
from PIL import Image
import time
HEADER = {"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.12; rv:50.0) Gecko/20100101 Firefox/50.0"}
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN ... | null | Train/webcrawler.py | webcrawler.py | py | 3,131 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "parsel.Selector",
... |
6955651 | import logging
import InfoList
import ParserUtil
from katacomb import obit_err, handle_obit_err
from katacomb.obit_types import OBIT_TYPE_ENUM
log = logging.getLogger('katacomb')
def parse_aips_config(aips_cfg_file):
"""
Parses an AIPS config file into a
dictionary with schema
:code:`{ option: [typ... | null | katacomb/katacomb/aips_parser.py | aips_parser.py | py | 2,760 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "katacomb.obit_err",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "InfoList.InfoList",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "ParserUtil.PPars... |
477787693 | from django.shortcuts import render,get_object_or_404
from django.shortcuts import redirect
from django_tables2 import RequestConfig
from SessionYear.models import SessionYear,SessionCourseExam, SessionCourseExamStudents
from ExamMarks.models import SessionExamMarks
from django.http import HttpResponseRedirect,HttpResp... | null | SessionYear/views.py | views.py | py | 4,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "SessionYear.table.SessionYearTable",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "SessionYear.models.SessionYear.objects.filter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "SessionYear.models.SessionYear.objects",
"line_number": 20,
... |
426062200 |
import itertools
def chrom_sort(chroms):
# get characters after 'chr'
alphanum = [c.split('chr')[1] for c in chroms]
# split up chroms with and without '_', convert numbers to ints for easier sorting
mapped = []
unmapped = []
for an in alphanum:
if '_' in an:
tup = (a... | null | ap_util.py | ap_util.py | py | 1,250 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.tee",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "itertools.izip",
"line_number": 43,
"usage_type": "call"
}
] |
562114563 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 29 09:52:53 2021
@author: Amr Emam
"""
import plotly.express as px
import pandas as pd
import plotly.graph_objects as go
class Graphs:
def __init__(self,df):
self.df=df
def histo(self,x):
fi... | null | graphs.py | graphs.py | py | 1,986 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "plotly.express.histogram",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "plotly.express",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "plotly.express.pie",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "plotly.exp... |
615873070 | from rest_framework import serializers
from .models import *
from organization_management.serializers import CentreSerializer
class UserProfileSerializer(serializers.ModelSerializer):
"""docstring for UserProfileSerializer"""
Centre = CentreSerializer()
ordering = ('User__username',)
class Meta:
... | null | user_management/serializers.py | serializers.py | py | 1,310 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "organization_management.serializers.CentreSerializer",
"line_number"... |
616520073 | # Lint as: python3
# Copyright 2019 DeepMind Technologies Limited. 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
#
# ... | null | rlax/_src/perturbations.py | perturbations.py | py | 2,518 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rlax._src.base.ArrayLike",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "rlax._src.base",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "rlax._src.base.type_assert",
"line_number": 44,
"usage_type": "call"
},
{
"api_name"... |
257347783 | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
'''FileCache
Description: Class to receive, store and clean data on the file system
'''
import os
import tempfile # To get the temp directory
import time # We need timestamps
import json # To read/save the blob metadata
import hashlib # Confirm sha1 hash of the blob
import t... | null | BlendNet/FileCache.py | FileCache.py | py | 12,858 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tempfile.gettempdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.UNICODE",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
... |
195474155 | # Random Forest example
import numpy as np
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import r2_score
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import KFold
from timeit import defaul... | null | sc/Week5_1_RandomForest/Week5_1.py | Week5_1.py | py | 1,362 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.KFold",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestRegressor",
"line_number": 33,
"usage_type": "call"
},
{
... |
51698404 | import os
from pytube import YouTube
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
#driver = webdriver.Chrome()
driver = ... | null | VideoProcessing/youtubeSearch.py | youtubeSearch.py | py | 2,120 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
11848384 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 30 15:20:56 2019
@author: charl
"""
import test_data_utils as tdu
import test_plot_utils as tpu
from pydmd import DMDc, idmdc
import paper_settings as ps
import matplotlib.pyplot as plt
from dmd_data import DMDData
import numpy as np
import random
random.seed(1415)
#ran... | null | iDMD_paper/parameter_comparison_figure.py | parameter_comparison_figure.py | py | 2,787 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
... |
334904697 | __author__ = "Jon Dawson"
__copyright__ = "Copyright (C) 2012, Jonathan P Dawson"
__version__ = "0.1"
import struct
from copy import copy
from parse_tree import *
from tokens import Tokens
from allocator import Allocator
types = ["float", "signed", "unsigned", "short", "long", "char", "int", "void"]
numeric_types = ... | null | chips2/chips/compiler/parser.py | parser.py | py | 35,311 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tokens.Tokens",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "allocator.Allocator",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_nu... |
273405879 | """
Module to find and save the best model trained on a given dataset to artifacts directory.
Run:
python training/save_best_model.py --entity=fsdl-user \
--project=fsdl-text-recognizer-2021-labs \
--trained_data_class=IAMLines
To find entity and p... | null | lab9/training/save_best_model.py | save_best_model.py | py | 5,583 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "wandb.Api",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number"... |
265386195 | import time
import pandas as pd
import re
from selenium import webdriver
from bs4 import BeautifulSoup
from lmf.dbv2 import db_write
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.common.exceptions import NoSuchElementException,StaleElementReferenceException
... | null | 代码汇总/ningxia/ningxia.py | ningxia.py | py | 4,780 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 32,... |
115426155 | from facenet_pytorch import MTCNN
import numpy as np
import cv2 as cv
import math
import time
BACKGROUND_DIMS = 600
'''
A note on landmarks array structure:
left eye coordinates are accessed by creating a tuple consisting of: (landmarks[0][0][0] , landmarks[0][0][1])
right eye coordinates are aceesed by creating a t... | null | face_detection_model.py | face_detection_model.py | py | 14,373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "facenet_pytorch.MTCNN",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "numpy.delete",
... |
131943683 | from django import forms
from django.contrib.auth import get_user_model
from decimal import Decimal
User = get_user_model()
class SendMoneyForm(forms.Form):
""" Форма отправки денег списку ИНН """
from_user = forms.ModelChoiceField(
required=True,
label='От кого',
queryset=User.objec... | null | users/forms.py | forms.py | py | 2,080 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.forms.Form",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "d... |
132288482 | from predcell import *
import tensorflow as tf
import io
import numpy as np
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter('runs/run12')
# $tensorboard --logdir "runs"
# run something like the above command in a terminal, then navigate to http://localhost:6006 to see the Tensorboard visualiza... | null | predcell_train.py | predcell_train.py | py | 5,371 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.utils.get_file",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 12,
"usage_type": "attribute"
},... |
563844141 | # %%
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from math import gamma
# %%
# Constants
pi = 3.14159
# x = np.linspace(0,20,20)
# %%
def func_y(x):
y = 0.5*x + x*np.sin(2*pi*x/10)
return (y)
# %%
# 1a) Plot
# y = func_y(x)
# plt.plot(x,y)
# plt.xlabel('x')
# plt.ylabel('y')
# plt... | null | HW10/HW10_v3.py | HW10_v3.py | py | 3,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sin",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
138608340 | # fitEllipse.py
import numpy as np
import matplotlib.pyplot as plt
from numpy.linalg import eig, inv
import multiprocessing as mulpr
import time
#TODO
def XYtoThetaSimple(x, y, plots=0):
''' move xy elliptical trajectory to (0,0), rescale to be circular, find angle of each x,y simply by atan'''
... | null | lib/fitEllipse.py | fitEllipse.py | py | 18,869 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.unwrap",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
449013613 | # v.1.1
# Last update: 19.10.2014 01:31
# Created by Trd
from PIL import Image as PILImage
from PIL import ImageOps
import os
import sys
def create_my_thumb(pathfile, destination, size):
if not os.path.exists(destination):
width = size[0]
height = size[1] if size[1] > 0 else None
folderu... | null | home/nskphotos.py | nskphotos.py | py | 935 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
595802126 | """
Maintainability Index Tester
Uses radon to calculate Maintainability Index
(see: https://radon.readthedocs.io/en/latest/intro.html)
Tools & Tests are excluded, as well as as there being an option to add a flag
to the file to exclude spefific files.
Radon itself will A grade for maintainability for score... | null | tools/mi/maintainability.py | maintainability.py | py | 1,224 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.iglob",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "radon.metrics.metrics.mi_visit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "radon.metrics.metrics",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "... |
395179123 | # Write a func that returns the most common item.
from collections import Counter
def least_common_item(given_string):
my_counter = Counter(given_string)
most_common = my_counter.most_common().pop()
return most_common
if __name__ == "__main__":
test_string = 'aaaaabbbcccc'
result = least_common_i... | null | Collections/least_occured.py | least_occured.py | py | 355 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
}
] |
479857008 | #!/usr/bin/python3
"""
a new view for State objects that handles
all default RestFul API actions
"""
from flask import request, jsonify, abort
from api.v1.views import app_views
from models import storage
from models.state import State
@app_views.route("/states", strict_slashes=False, methods=["GET", "POST"])
def st... | null | api/v1/views/states.py | states.py | py | 1,695 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.storage.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.sto... |
160275476 | import os
from tasks.frames.atmt import ATMTFrame
import time
import threading
from datetime import datetime
import tkinter as tk
from json import load
from logging import config, getLogger
from typing import Collection
with open('./config/log_conf.json', 'r') as f:
config.dictConfig(load(f))
from .baseapp import ... | null | tasks/apps/taskapp.py | taskapp.py | py | 4,578 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "baseapp.BaseApp",
... |
157598937 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019-11-13 17:02
# @Author : weihuchao
import os
import time
import settings
import datetime
import simplejson as json
def backup_log_file():
"""
备份日志文件
"""
gunicorn_file_path = os.path.join(settings.SOURCE_GUNICORN_LOG_PATH, settings.SOURC... | null | analyzer.py | analyzer.py | py | 3,200 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "settings.SOURCE_GUNICORN_LOG_PATH",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sett... |
146733243 | from flask import Flask
import os
app = Flask(__name__)
DIR = os.path.dirname(__file__)
DIR += "/"
@app.route("/")
def hello():
print(__name__)
return "hellooooooooooooo"
if __name__ == "__main__":
app.debug = True
app.run()
| null | apacheTest/__init__.py | __init__.py | py | 261 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
}
] |
448407095 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author: Dan Zelenak
Last Updated: 4/28/2017
Usage: Calculate the number of changes per pixel across all available
ChangeMap layers. Alternatively can specify a 'from' and 'to' and the script
will calculate the number of changes for each year interval within
the given r... | null | 5_nlcd_num_changes.py | 5_nlcd_num_changes.py | py | 10,271 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "gdal.Al... |
338841304 | # _*_ coding:utf-8 _*_
import numpy as np
import sympy as sp
import matplotlib.pyplot as plt
sp.init_printing(use_unicode=False, wrap_line=False, no_global=True)
x=sp.symbols('x')
def DifferenceQuotient3 (xk,yk): #求f[xi-1,xi,xi+1]
DiffQuo=yk
k=len(xk)-1
... | null | NumericalAnalysis/CubicSpline.py | CubicSpline.py | py | 2,795 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sympy.init_printing",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sympy.symbols",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.mat",
"line_num... |
630495360 | """
__Seed builder__v0.2.0
(Read_only) Builder helper
"""
from rest_framework import serializers
from rest_auth.models import TokenModel
class TokenSerializer(serializers.ModelSerializer):
class Meta:
model = TokenModel
fields = (
'key',
'user'
) | null | seed/serializers/helpers/token.py | token.py | py | 304 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_auth.models.TokenModel",
"line_number": 13,
"usage_type":... |
164562942 | from selenium import webdriver
from selenium.webdriver import ActionChains
import time
# 创建编辑器
driver = webdriver.Chrome()
# 打开页面
driver.get(r"http://www.baidu.com/")
# 窗口最大化
driver.maximize_window()
# 输入框
ele = driver.find_element_by_xpath("//*[@id='kw']")
# 创建actionchains
ac = ActionChains(dri... | null | pythonday02/class/模拟键盘.py | 模拟键盘.py | py | 513 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.ActionChains",
"line_number": 19,
"usage_type": "call"
},
{
"api_na... |
518965224 | """ Core main registry app settings
Settings with the following syntax can be overwritten at the project level:
SETTING_NAME = getattr(settings, "SETTING_NAME", "Default Value")
"""
from os.path import join
from django.conf import settings
if not settings.configured:
settings.configure()
REGISTRY_XSD_FILEPATH =... | null | core_main_registry_app/settings.py | settings.py | py | 1,006 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.settings.configured",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.configure",
"line_number": 11,
"usage_type": "call"
},
... |
592249150 | from conv import DBI
from guess_language import guess_language
from tqdm import tqdm
print('Examining article languages...')
with tqdm(total=DBI.articles.count()) as pbar:
for a in DBI.articles.all():
if 'language' not in a.keys():
lang = guess_language(a['text'])
a['language'] = '... | null | non_en.py | non_en.py | py | 735 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tqdm.tqdm",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "conv.DBI.articles.count",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "conv.DBI.articles",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "conv.DBI",
... |
634613571 | import sys
import pygame
from bullet import Bullet
def check_events(settings, screen, ship, bullets):
"""
checks for pygame events.
These can be key presses or mouse clicks.
:param ship: ship object.
:return: Response to event.
"""
# Responds to key presses and mouse events.
for event ... | null | bin/game_function.py | game_function.py | py | 3,028 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.event.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"l... |
531443736 | from django.conf.urls import url
from . import views
app_name = "payment_ns"
urlpatterns = [
url(r'^$', views.pay, name="pay"),
url(r'^help/$', views.help, name="help"),
url(r'^add_pmt/$', views.add_payment, name="add_pmt"),
url(r'^edit_pmt/$', views.edit_payment, name="edit_pmt"),
url(r... | null | projectx/shavingstore/cart/urls.py | urls.py | py | 382 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
323112028 | # Copyright 2018 Streamlit Inc. All rights reserved.
# Python 2/3 compatibility
from __future__ import print_function, division, unicode_literals, absolute_import
from streamlit.compatibility import setup_2_3_shims
setup_2_3_shims(globals())
from streamlit import case_converters
class ChartComponent(object):
de... | null | lib/streamlit/elements/lib/ChartComponent.py | ChartComponent.py | py | 1,053 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "streamlit.compatibility.setup_2_3_shims",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.case_converters.to_upper_camel_case",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "streamlit.case_converters",
"line_number": 31,
"usag... |
223781524 | import globalenv,os,platform
from cnnctwiz import *
from freshdl import *
from upgrade import *
from Dataload import *
from Integrity_Manager import *
import datetime,time,logging,shutil
from emexceptions import *
from Upgrade104 import *
def setLogFolder(EMWH, Action):
OptDir = globalenv.__GLOBALENV__['OPTIONS']
Bu... | null | CaseTests.py | CaseTests.py | py | 6,381 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "globalenv.__GLOBALENV__",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "globalenv.__GLOBALENV__",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 14,
"usage_type": "call"
},
... |
287874262 | from django.shortcuts import render,HttpResponse,redirect,get_object_or_404
from django.http import HttpResponseRedirect,JsonResponse
from django.views.generic import TemplateView
from django.views.generic.edit import FormView
from django.core.files.storage import FileSystemStorage
from django.contrib.auth.models impor... | null | staff_alert/alert/views.py | views.py | py | 5,750 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "form.FileUpload",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "models.FileData.objects.all",
"line_number": 34,
"usage_type": "call"
},
{
"api... |
295142706 | from django.urls import path
from .api.views import (
IndexView,
CreateView,
DetailView,
UpdateView,
DeleteView,
)
app_name = "crud"
urlpatterns = [
path('', IndexView.as_view(), name="index"),
path('create', CreateView.as_view(), name="create"),
path('detail/<int:pk>/', DetailView.as_... | null | crud/urls.py | urls.py | py | 480 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.views.IndexView.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.views.IndexView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "djan... |
179988804 | from pynput.keyboard import Key, Listener
import logging
log_dir = ""
logging.basicConfig(filename=(log_dir+"keylogs.txt"), \
level=logging.DEBUG,format='%(message)s')
def on_press(key):
logging.info(str(key))
with Listener(on_press=on_press) as Listener:
Listener.join()
... | null | keylogger.py | keylogger.py | py | 1,366 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pynput.keyboard.Lis... |
442520392 | """Allocation API tests."""
import unittest
import tests.treadmill_test_deps # pylint: disable=W0611
import mock
from treadmill import admin
from treadmill.api import allocation
class ApiAllocationTest(unittest.TestCase):
"""treadmill.api.allocation tests."""
@mock.patch('treadmill.context.AdminContext.co... | null | tests/api/allocation_test.py | allocation_test.py | py | 1,526 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "treadmill.api.allocation.API",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "treadmill.api.allocation",
"line_number": 17,
"usage_type": "name"
},
{
"api_... |
603547602 | # coding:utf-8
from index import BaseHandler
from models import session, Blog, User
import tornado.web
import logging
from sqlalchemy import update
logging.basicConfig(level=logging.DEBUG, format=logging.BASIC_FORMAT)
class AuthLogoutHandler(BaseHandler):
"""退出登录"""
@tornado.web.authenticated
def get(self)... | null | admin.py | admin.py | py | 2,963 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.BASIC_FORMAT",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "index.B... |
154580694 | # -*- coding:utf-8 -*-
'''
@Author : xiaoyin_ing
@Email : 2455899418@qq.com
@Software: PyCharm
@File : handle_mysql.py
@Time : 2020/7/6 10:00
@Desc :
'''
import pymysql
from Common.handle_conf import red_conf
class HandleDB:
def __init__(self):
# 建立连接
self.connect = py... | null | Common/handle_mysql.py | handle_mysql.py | py | 1,553 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Common.handle_conf.red_conf.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Common.handle_conf.red_conf",
"line_number": 25,
"usage_type": "name"
},
{
"api_n... |
134492901 | # -*- coding: utf-8 -*-
import re
import os
import scrapy
from datetime import datetime
from scrapy.selector import Selector
from scrape.items import ScrapeItem
class GiajSpider(scrapy.Spider):
name = 'giaj'
allowed_domains = ['saigai.gsi.go.jp']
start_urls = ['https://saigai.gsi.go.jp/jusho/download/inde... | null | scrape/scrape/spiders/giaj.py | giaj.py | py | 2,627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",... |
623692669 | import torch
from torch.utils.data import DataLoader, dataset
from image_extractor import sudoku_extractor
import numpy as np
class Predictor():
def __init__(self):
self.model = torch.load('digit_from_grid/sudoku_model.pt')
def get_predictions(self, data):
return self.model(data)
class get... | null | digit_from_grid/bin1.1/model_class.py | model_class.py | py | 1,587 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "image_extractor.sudoku_extractor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 19,
"usage_type": "call"
},
{
"api_name":... |
398544919 | import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
import datetime
def timetodate():
file = pd.read_csv('../data/ratings.csv')
frame = pd.DataFrame(file)
print( datetime.datetime.fromtimestamp(964982400 / 1000))
print( datetime.datetime.fromtimestamp(964982224 / 1000))
pri... | null | Hm/now_.py | now_.py | py | 21,897 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dateti... |
615674267 | import re
from pathlib import Path
from setuptools import setup
from setuptools_rust import Binding, RustExtension
description = 'A better TOML library for python implemented in rust.'
THIS_DIR = Path(__file__).resolve().parent
try:
long_description = (THIS_DIR / 'README.md').read_text()
except FileNotFoundError... | null | setup.py | setup.py | py | 1,801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_numbe... |
242567580 | import json
import shutil
import os
from os import walk
from os.path import basename
import zipfile
from datetime import datetime
defaultC3ProjectRoot = 'temp/c3Project'
folders = {'c3Pack' : {'source' : '', 'root' : 'temp/c3Pack'}, 'c3Project' : {'source' : defaultC3ProjectRoot, 'root' : 'temp/c3Project'}, 'backup' ... | null | c3pm.py | c3pm.py | py | 12,660 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,... |
619737845 | import os
import os.path as osp
from pathlib import Path
import json
import numpy as np
import mxnet as mx
from gluonts.model.lstnet import LSTNetEstimator
from gluonts.trainer import Trainer
from gluonts.dataset.common import TrainDatasets
from gluonts.model.predictor import Predictor
from data import load_multivar... | null | src/deep_demand_forecast/train.py | train.py | py | 4,681 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
514149222 | # coding:utf-8
import asyncio
"""
绑定回调，在task执行完成的时候可以获取执行的结果，回调的最后一个参数是future对象，通过该对象可以获取协程返回值。
"""
async def do_something(x):
print("waiting: ", x)
r = await asyncio.sleep(1)
return "Done: %s" % x
def callback(future):
print("callback:", future.result())
coroutine = do_something(2) # 这里是一个协程对象，这个时候do_some... | null | Code/built_in/asyncio34/asyncio_4.py | asyncio_4.py | py | 978 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 22,
"usage_type": "call"
}
] |
520928637 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 16 14:22:28 2021
@author: caelus
"""
import xarray as xr
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
r_path = '/home/caelus/dock_1/Working_hub/DATA_dep/'
NPGO = xr.open_dataset(r_path+'inpgo.nc',decode_times=False)
NPG... | null | gather_indexes.py | gather_indexes.py | py | 1,717 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xarray.open_dataset",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.date_range",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotl... |
297250571 | """
Copyright (c) 2020 COTOBA DESIGN, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distri... | null | dialogue-engine/test/programytest/parser/template/node_tests/test_base.py | test_base.py | py | 3,633 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "programytest.parser.base.ParserTestsBaseClass",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "programy.parser.template.nodes.base.TemplateNode",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "programy.parser.template.nodes.base.TemplateNode",... |
367301426 |
from collections import defaultdict
import itertools
from itertools import combinations
import copy
import json, operator, collections
from openpyxl import load_workbook
from classes import implications
import time
import random
# from random import *
# try:
from settings import *
from general_functions import *
from... | null | inference2/proofs_old_copy/lemmas.py | lemmas.py | py | 36,951 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
... |
531321839 | import multiprocessing
from csv import writer
from datetime import datetime
import math
import time
import os
import sys
Icgoal = 0.001
Ube = 0.7
Beta = 250
Temp25 = 25
Tempn15 = -15
Temp50 = 50
Ucc = 12.0
Ucegoal = 4.8
def priorytet(): #nietestowane poza Windowsem, os.system() powoduje czarne okno na początku dział... | null | aicue-projekt.py | aicue-projekt.py | py | 11,375 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.getwindowsversion",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.nice",
"line_number"... |
194755496 | import typer # use typer.run and typer.Argument
def sum_numbers(a: int, b: int):
"""Sums two numbers"""
return a + b
def main(
a: int = typer.Argument(1, help="The value of the first summand"),
b: int = typer.Argument(2, help="The value of the second summand"),
):
"""
CLI that ... | null | pybites_bite353/script.py | script.py | py | 443 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typer.Argument",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typer.Argument",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typer.run",
"line_number": 20,
"usage_type": "call"
}
] |
53624658 | import logging
import random
from json import load
from pathlib import Path
import discord
from discord.ext import commands
from bot.constants import Colours
log = logging.getLogger(__name__)
LETTER_EMOJI = ':love_letter:'
HEART_EMOJIS = [":heart:", ":gift_heart:", ":revolving_hearts:", ":sparkling_heart:", ":two_h... | null | bot/exts/valentines/valentine_zodiac.py | valentine_zodiac.py | py | 2,006 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "... |
29434558 | import argparser
import datetime
import numpy as np
import numpy.random
import os
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.callbacks import TensorBoard, ModelCheckpoint
from models.unet_patch import *
from models.unet_dilated_v2_transposed_patch import *
from data.data_patch import ... | null | src/main_patch.py | main_patch.py | py | 5,755 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparser.get_parser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparser.write_config_file",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.random.set_seed",
"line_number": 33,
"usage_type": "call"
},
{
"api_n... |
571600103 | import numpy as np
import matplotlib.pyplot as plt
from netCDF4 import Dataset
from scipy import interpolate, integrate
from analysis_tools import downwind_rectangle, fromComponents, lcl, find_h
from STASH_keys import temp_key, theta_key, q_key, w_key, u_key, v_key, zi_new_key, lcl_key, pthe_key
from mpl_toolkits.axes_... | null | plot_stability_xsn.py | plot_stability_xsn.py | py | 8,823 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "STAS... |
418902240 | from django.conf.urls import url
from django.conf.urls.static import static
from django.conf import settings
from questions.views import *
urlpatterns = [
url(r'about', index, name='about'),
url(r'ask', ask, name='ask'),
url(r'(?P<question_id>[0-9]+)$', question, name='question'),
url(r'tag/(?P<tag_id>... | null | questions/urls.py | urls.py | py | 638 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
556248404 | import numpy as np
import cv2
from matplotlib import pyplot as plt
image_1 = cv2.imread("image-1.png",0)
image_2 = cv2.imread("image-2.png",0)
cv2.imshow("image 1", image_1)
cv2.imshow("image 2", image_2)
image_new = np.zeros([359, 492, 2])
dft_1 = cv2.dft(np.float64(image_1),flags = cv2.DFT_COMPLEX_OUTPUT)
dft_2 = ... | null | 3-a.py | 3-a.py | py | 809 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 8,
... |
66268335 | import copy
import itertools
import pandas as pd
import pytest
from fgscountrate.fgs_countrate_core import FGSCountrate
from fgscountrate import conversions
# Create data
# Aiming to match output from: fgs = FGSCountrate(guide_star_id="N13I000018"); data = fgs.query_gsc()
values = ['N13I000018', 420900912, 273.207,... | null | fgscountrate/tests/test_convert_jhk.py | test_convert_jhk.py | py | 17,828 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.Series",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "fgscountrate.fgs_countrate_core.FGSCountrate",
"line_number": 47,
"usage_type": "call"
},
{
... |
579887970 | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 21 11:34:08 2017
@author: Akshay
"""
from __future__ import division
from pulp import LpProblem, LpVariable, LpMaximize, LpStatus, LpInteger, LpAffineExpression
import sys
import os
import codecs
from collections import defaultdict
from math import log
#from StringIO impo... | null | src/Sentence Compression/support/Compression_1.py | Compression_1.py | py | 6,010 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "depParse.readParses",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "m... |
511100404 | # coding: utf-8
"""Logic regarding verification of affiliations."""
from __future__ import unicode_literals
import csv
import flask
import sqlalchemy
from eisitirio import app
from eisitirio.database import db
from eisitirio.database import models
APP = app.APP
DB = db.DB
def verify_affiliation(user):
"""Mar... | null | eisitirio/logic/affiliation_logic.py | affiliation_logic.py | py | 8,714 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "eisitirio.app.APP",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "eisitirio.app",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "eisitirio.database.db.DB",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "ei... |
306550513 | #!/usr/bin/python3.5
import Image
import cv2
import matplotlib.pyplot as plt
import pickle
import numpy as np
from scipy.ndimage.measurements import label
class Detection:
def __init__(self, img, pickfile):
dist_pickle = pickle.load(open(pickfile, "rb"))
self.clf, self.X_scaler, self.is_spatial, se... | null | computer_vision_deep_learning/CarND-Vehicle-Detection-master/Detection.py | Detection.py | py | 7,078 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Image.Image",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_num... |
273517371 | import unittest
from BaseClassAdmin import BaseClassAdmin
import time
from selenium import webdriver
from phptravels.pages.DashboardPage import DashboardPage
from phptravels.pages.DashboardTourPage import DashboardTourPage
from time import sleep
import Properties
class NewTour(unittest.TestCase, BaseClassAdmin):
... | null | src/test/python/NewTour.py | NewTour.py | py | 1,107 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "BaseClassAdmin.BaseClassAdmin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"ap... |
261171893 | from django.conf import settings
from django.contrib.sites.shortcuts import get_current_site
from django.db.models import Prefetch
from django.http import Http404, HttpResponseRedirect
from django.utils.translation import gettext_lazy as _
from django_filters.rest_framework import DjangoFilterBackend
from rest_framewor... | null | rdmo/projects/viewsets.py | viewsets.py | py | 20,152 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "rdmo.core.permissions.HasModelPermission",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "rdmo.core.permissions.HasObjectPermission",
"line_number": 47,
... |
105954704 | """
Module for training and testing generic SVMS.
feature_encoders: please see doc/Feature Encoders.md for this definition.
"""
from sumall_analysis_tools.machine_learning.classification import BaseClassifier
from sumall_analysis_tools.utils import misc_tools
import sklearn
from sklearn import svm as support_vector... | null | sumall_analysis_tools/machine_learning/classification/svm.py | svm.py | py | 6,419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sumall_analysis_tools.utils.misc_tools.hexdigest",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "sumall_analysis_tools.utils.misc_tools",
"line_number": 89,
"usage_type": "name"
},
{
"api_name": "sumall_analysis_tools.machine_learning.classification.Bas... |
47094924 | from downloader import Downloader
from lxml import etree
class Spider():
'''
解析网页，提取数据
'''
def get_data(self):
downloader = Downloader()
html = downloader.get_html("PHPSESSID=f47jj9br11fvtld6viktf6gg24")
html = etree.HTML(html)
# 商品名字
names = []
html_data ... | null | spider.py | spider.py | py | 824 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "downloader.Downloader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "downloader.get_html",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
... |
341334821 | import argparse
import os
import warnings
import sys
import pandas as pd
import numpy as np
from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
from sklearn.model_selection import train_test_split
from sklearn.linear_model import ElasticNet
from urllib.parse import urlparse
import ml... | null | custom_ml_cls.py | custom_ml_cls.py | py | 2,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_squared_error",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_absolute_error",
"line_number": 17,
"usage_type": "call"
},
{
... |
612428911 | from flask import Flask,request,jsonify,abort,Blueprint,make_response,Response
# from .dialogflow import Dialogflow
from flask_restplus import Namespace,Resource
from apis.spotify import Spotify
from apis.emotion_classfication_model import emotion_analysis
from apis.db import db
import random
import base64
music_api = ... | null | BluePrint/music.py | music.py | py | 5,636 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_restplus.Namespace",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "apis.db.db",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask_restplus.Resource",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.requ... |
140164423 | from setuptools import setup, find_packages
import os
from conversion_attribution import constants
from conversion_attribution.dfp.model import ModelManager
def install_packages():
'''
copy init models
'''
if not os.path.exists(constants.ROOT_CONF_DIR):
model_dir = os.path.join(os.path.abspath... | null | setup.py | setup.py | py | 1,393 | 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": "conversion_attribution.constants.ROOT_CONF_DIR",
"line_number": 11,
"usage_type": "attribute"
},
{
"a... |
371503217 | '''
GAIN function
'''
import numpy as np
import tensorflow as tf
import math
from tensorflow import math
from tensorflow import keras
from tqdm import tqdm
from .utils import normalization, renormalization, rounding
from .utils import binary_sampler, uniform_sampler, sample_batch_index
def gain(data_x, gain_parameter... | null | src/tools/gain.py | gain.py | py | 5,482 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.isnan",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utils.normalization",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.nan_to_num",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "tensorflow.nn.relu",... |
394493017 | # -*- coding:utf-8 -*
'''
1.用一个类完成对vae的封装，能够对给定的文件夹下的图片进行特征压缩
2.实现的功能
2.1 vae整体模型训练
2.2 输入图片和压缩后生成图片的对比
2.3 完成对输入图片的压缩来提取特征
2.4 输入压缩特征来生成图片
refrence:
'''
from keras.datasets import mnist
from keras.layers import Input, Dense, Reshape, Flatten, Dropout, Lambda
from keras.layers import Bat... | null | TianChi/variational_autoencoder.py | variational_autoencoder.py | py | 6,892 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number":... |
314331439 | from collections import Counter
from yatt import BASE_CURRENCY
from yatt.price import Price
from yatt.position import Position
from yatt.order import SuggestedOrder
from yatt.exception import NotSynchronizedTickers
currency_to_symbol = {'EUR': '€', 'USD': '$', 'GBP': '£'}
currency_from_symbol = {'€': 'EUR', '$': 'USD... | null | yatt/portfolio.py | portfolio.py | py | 4,149 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yatt.BASE_CURRENCY",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collection... |
598179237 | from __future__ import division
from __future__ import print_function
from distutils.version import LooseVersion
from theano import __version__
theano_less_than_6 = (LooseVersion(__version__) < LooseVersion('0.6.0') )
def compile_multiargument_function(values, args_list, args_names, parms, fname='anonymous_function... | null | dolo/compiler/function_compiler_theano.py | function_compiler_theano.py | py | 2,528 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "distutils.version.LooseVersion",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "theano.__version__",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "dolo.compiler.common.DicPrinter",
"line_number": 64,
"usage_type": "call"
}
] |
335524184 | from __future__ import division
import zmq
import json
from twisted.internet import task
from lights import LedStrip, StripEffect, Color, effects, utils, renderers
from .config import Config
class LightPublisher(object):
def __init__(self, zmq_context):
self.pub = zmq_context.socket(zmq.PUB)
self.... | null | lights/server/service.py | service.py | py | 5,884 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zmq.PUB",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number":... |
242730624 | from collections import deque
dx = [0,0,1,-1]
dy = [1,-1,0,0]
# 미세 먼지들 구하기
def get_dusts():
dusts = []
for i in range(r):
for j in range(c):
if maps[i][j] >= 1:
dusts.append([i,j,maps[i][j]])
return dusts
# 퍼지는거 구현
def spread(dusts):
while dusts:
x,y,dus... | null | baekjoon/baekjoon17144.py | baekjoon17144.py | py | 3,368 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 141,
"usage_type": "call"
},
{
"api_name": "collections.de... |
489099038 | from datetime import datetime
from os.path import dirname, join
from city_scrapers_core.constants import BOARD
from city_scrapers_core.utils import file_response
from freezegun import freeze_time
from city_scrapers.spiders.pitt_housing import PittHousingSpider
test_response = file_response(
join(dirname(__file__... | null | tests/test_pitt_housing.py | test_pitt_housing.py | py | 2,871 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "city_scrapers_core.utils.file_response",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "c... |
367562750 | # -*- coding: utf-8 -*-
import random
from cocos import euclid
from cocos.euclid import Vector2
from ai.movement import MoveBasic
import logging
logger = logging.getLogger()
from util import AttrDict
import game
class Ai(object):
def __init__(self):
self.owner = None
self.state = AttrDict()
... | null | src/ai/basic_ai.py | basic_ai.py | py | 1,046 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "util.AttrDict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "game.Game.get_entity",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "game.Game",
"... |
607928839 | from django.contrib.auth.models import AbstractUser
from django.db import models
# Create your models here.
class User(AbstractUser):
# 用户信息
id = models.AutoField(primary_key = True)
nickname = models.CharField(max_length=20,verbose_name="昵称",null=True)
telephone = models.CharField(max_length... | null | app01/models.py | models.py | py | 4,002 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"... |
340768573 | import json
import urllib.parse
import urllib.request
from io import BytesIO
from base64 import b64encode
from datetime import timedelta, datetime
from PIL import Image
import config
FB_PAGE = "https://www.facebook.com/pg/500szempar/posts/"
FB_ID = "101776716528181"
# Menu image W/H ratio
MENU_RATIO = 1.41
MENU_RATI... | null | provider/otszaz.py | otszaz.py | py | 3,036 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.parse.request.urlopen",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "urllib.parse.request",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "P... |
520425476 | # SPDX-License-Identifier: MIT
# Copyright (C) 2019-2020 Tobias Gruetzmacher
# Copyright (C) 2019-2020 Daniel Ring
import json
from ..scraper import _ParserScraper
class MangaDex(_ParserScraper):
imageSearch = '//img[contains(@class, "_images")]/@data-url'
prevSearch = '//a[contains(@class, "_prevEpisode")]'... | null | dosagelib/plugins/mangadex.py | mangadex.py | py | 4,156 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scraper._ParserScraper",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 55,
"usage_type": "call"
}
] |
537539754 | # Copyright 2013 Metacloud, Inc.
# Copyright 2012 OpenStack Foundation
#
# 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 ... | null | keystone/assignment/controllers.py | controllers.py | py | 25,775 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keystone.common.conf",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "keystone.common",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "oslo_log.log.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "oslo... |
373491252 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import optparse
import json
import subprocess
import sys
import os
def execute_command(command):
proc = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
result = proc.communicate()[0]
return result
def get_inventory(show_meta_hostvars):
... | null | lxd.py | lxd.py | py | 2,162 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.Popen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
... |
200865200 | import time
import traceback, sys
import serial
import serial.tools.list_ports
from pathlib import Path
import random
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtCore import Qt, pyqtSlot, QCoreApplication
from PyQt5.QtWidge... | null | signaltest3.py | signaltest3.py | py | 9,957 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QThread.__init__",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "... |
606694371 | # -*- coding: utf-8 -*-
import sys
has_lxml = False
try:
from lxml import etree as ET
has_lxml = True
except ImportError:
if sys.version_info < (2, 7):
raise ImportError('lxml required for Python versions older than 2.7')
from xml.etree import ElementTree as ET
from .entity import declarative_... | null | odata/metadata.py | metadata.py | py | 7,771 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "property.IntegerProperty",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "property.IntegerProperty",
"line_number": 27,
"usage_type": "name"
},
{
"api_name":... |
451022540 | from datetime import datetime
from django.test import TestCase
from django.db.models import Q, F
from pizza.models import *
from conceptq import prefix
class TestPrefixQs(TestCase):
def setUp(self):
self.tomatoes = Topping.objects.create(name="tomatoes",
savory=True, introduced=datetime(1... | null | testproj/pizza/tests.py | tests.py | py | 2,267 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
11792594 | # 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.linux-x86_64/egg/buzz/utils.py
# Compiled at: 2019-09-06 05:45:15
# Size of source mod 2**32: 12153 bytes
import multiprocessing, os, re, shutil
from ... | null | pycfiles/buzz-3.1.0-py3.7/utils.cpython-37.py | utils.cpython-37.py | py | 11,554 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tqdm.tqdm_notebook",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number":... |
625285934 | '''
*
* NOTE: REQUIRES A COMPLEMENTARY STETHOSCOPE TO FUNCTION
*
* Position tracking of magnet based on Finexus
* https://ubicomplab.cs.washington.edu/pdfs/finexus.pdf
*
* - 3 Modes of operations
* (1) Point-by-Point (Data Sampling)
* (2) 2D Static Plot (Data Sampling)
* (3) 3D Static Plot (Data Sam... | null | Software/Python/Steth Edition/STETH - [PLOT] Finexus_Method.py | STETH - [PLOT] Finexus_Method.py | py | 36,522 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 150,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 156,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 162,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
173060082 | from datetime import datetime
from decimal import Decimal
from hashlib import md5
from os import environ
from typing import List
from fastapi import APIRouter, Depends, HTTPException, Query
from areas.shared.logic.auth import get_current_active_user
from areas.shared.logic.payment import (AffiliateProgramsCalculator,... | null | src/backend/areas/storefront/routes/payment.py | payment.py | py | 3,253 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_numbe... |
312244277 | # -*- coding: utf-8 -*-
"""
Game board definition and position checking
@author: seanxiong
"""
import enum
from collections import namedtuple
__all__ = [
'Board',
'Move',
'Player',
]
COL_NAMES = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
class Player(enum.Enum):
black = 1
white = 2
@property
def oth... | null | hexapwn/board.py | board.py | py | 2,924 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "collections.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 83,
"usage_type": "attribute"
}
] |
218914516 | #!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np
Deep3 = __import__('3-deep_neural_network').DeepNeuralNetwork
Deep4 = __import__('4-deep_neural_network').DeepNeuralNetwork
one_hot_encode = __import__('0-one_hot_encode').one_hot_encode
one_hot_decode = __import__('1-one_hot_decode').one_hot_d... | null | supervised_learning/0x01-multiclass_classification/4-main.py | 4-main.py | py | 2,797 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 39,
... |
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