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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
393829156 | import warnings
from cytoolz.functoolz import (
compose,
curry,
)
from .decorators import (
return_arg_type,
)
from .functional import (
to_dict,
)
@return_arg_type(2)
def apply_formatter_at_index(formatter, at_index, value):
if at_index + 1 > len(value):
raise IndexError(
"N... | null | venv/lib/python3.6/site-packages/eth_utils/applicators.py | applicators.py | py | 3,269 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "decorators.return_arg_type",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cytoolz.functoolz.curry",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "cyto... |
460967434 | #librairies
import matplotlib.pyplot as plt
import numpy as np
#Wavelengh (cm) to energy (eV)
def energy(l, c):
h = 6.6260755e-34/1.602e-19 #Planck's constant (eV/K)
return h*c/l
#Parametre s
def parametre_s(eps, E, mc2, theta):
return eps*E/(2*mc2**2)*(1-np.cos(theta))
#Parametre beta
def beta_func(s):
... | null | Codes/Vieux/Cross_section_complete2.py | Cross_section_complete2.py | py | 1,502 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.cos",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 23,
... |
515898384 | from random import randrange
from hashlib import sha1
from gmpy2 import xmpz, to_binary, invert, powmod, is_prime
# Esta fase têm como objectivo a criação de uma classe que implemente o algoritmo DSA. Uma instância desta classe
# irá receber como parâmetros os tamanhos dos primos p e q. Com uma instância desta classe ... | null | TP1/DSA_Parte2.py | DSA_Parte2.py | py | 4,621 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gmpy2.xmpz",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "gmpy2.to_binary",
"line_... |
64576160 | from flask_wtf import FlaskForm
from wtforms import StringField, HiddenField, IntegerField, SelectField, \
BooleanField
from wtforms.validators import DataRequired, ValidationError, NumberRange, \
InputRequired, Optional
from .models import Action
import re
class ActionForm(FlaskForm):
id = HiddenField('i... | null | potnanny/apps/action/forms.py | forms.py | py | 3,020 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "wtforms.HiddenField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wtforms.StringField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wtforms.v... |
570315398 | import time
import rrdtool
from getSNMP import consultaSNMP
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib import style
from math import *
import os
class Visual():
def __init__():
style.use('fivethirtyeight')
fig = plt.figure()
ax1 = fig.add_subplot... | null | proyecto.py | proyecto.py | py | 2,692 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.style.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplo... |
120039636 | from collections import defaultdict
from itertools import product
import os
from typing import List
import numpy
from scipy.sparse import coo_matrix, diags
from ast2vec.coocc import Cooccurrences
from ast2vec.uast import UASTModel
from role2vec.map_reduce import MapReduce
from role2vec.random_walk import Graph
from r... | null | role2vec/node2vec.py | node2vec.py | py | 4,864 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "role2vec.map_reduce.MapReduce",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "role2vec.random_walk.Graph",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "role2vec.utils.read_vocab",
"line_number": 36,
"usage_type": "call"
},
{
... |
248541807 | import pandas as pd
import uuid
import requests
import urllib.request
import time
from bs4 import BeautifulSoup
from shapely.geometry import Polygon
import uuid
from subprocess import call
bbox = pd.read_csv("bbox.csv").set_index("Unnamed: 0")
bbox = Polygon(bbox.values).buffer(0.1).boundary.minimum_rotated_rectangle... | null | download_osm_data.py | download_osm_data.py | py | 1,750 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Polygon",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"... |
620370871 | from copy import deepcopy, copy
from django.utils.datastructures import SortedDict
from django.db import models
from django.db.models.fields import FieldDoesNotExist
from django.db.models.related import RelatedObject
from django.db.models.sql.constants import LOOKUP_SEP
from django.utils.text import capfirst
from djang... | null | slickgrid/slickgrid.py | slickgrid.py | py | 11,863 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.CharField",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextField",
"line_number": 66,
"usage_type": "attribute"
},
{
"... |
403033269 | from datetime import datetime
from GalaxyCurrencyCalculator import calculator
test_input_path = 'test_input.txt'
with open('correct_result.txt', 'r', encoding='utf-8') as fp:
correct_result = fp.read()
with open('test_input.txt', 'r', encoding='utf-8') as fp:
test_input_text = fp.read()
test_result = calcul... | null | calculator_test.py | calculator_test.py | py | 880 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "GalaxyCurrencyCalculator.calculator.main",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "GalaxyCurrencyCalculator.calculator",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "ca... |
174603440 | from flask import Flask
from flask_cors import CORS
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine,MetaData
app = Flask(__name__, instance_relative_config=True)
CORS(app)
#load defalut config
app.config.from_object('config.default')
app.config["... | null | ledger_microservice/backend/service/app/__init__.py | __init__.py | py | 1,074 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engin... |
25110236 | from django.db import models
from django.contrib.auth.models import User
class Gruppo(models.Model):
nome = models.CharField(max_length=20)
def __str__(self):
return self.nome
class Meta:
verbose_name = "Gruppo"
verbose_name_plural = "Gruppi"
class Utente(models.Model):
email... | null | DjangoBICAP/BICAPweb/models.py | models.py | py | 3,812 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
90898510 | #!/usr/bin/python3
""" Class BaseModel defines common attributes/methods for other classes """
import uuid
from datetime import datetime as dt
from models import storage
class BaseModel:
""" Class BaseModel """
def __init__(self, *args, **kwargs):
""" Initilize a new instance of BaseModel class
... | null | models/base_model.py | base_model.py | py | 1,487 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
596132342 | #!/usr/bin/python3
import matplotlib.pyplot as plt
import numpy as np
import keras.models
print ( "Now loading data" )
import pickle
f=open("data.pcl","rb")
tr_data=pickle.load ( f )
tr_labels=pickle.load ( f )
val_data=pickle.load ( f )
val_labels=pickle.load ( f )
f.close()
def Hash ( A ):
return int(A[0]*1000... | null | Wolfgang/draw.py | draw.py | py | 969 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": ... |
587767816 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 31 19:57:14 2018
@author: dilu
"""
import numpy as np
import matplotlib.pyplot as plt
import core_lib as cl
n_med=1.0 #The medium in which the experiment is conducted
theta_i1=np.pi/6
wl=np.arange(450, 800, 1)
wl_p=168.26
wl_c=8934.20
d_met... | null | N_vs_minR.py | N_vs_minR.py | py | 1,145 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
264832899 | import json
REQUEST_META_FIELDS = [
'REQUEST_METHOD',
'PATH_INFO',
'REMOTE_ADDR',
'SERVER_NAME',
'SERVER_PROTOCOL',
'SERVER_PORT',
'CONTENT_TYPE',
'CONTENT_LENGTH',
'HTTP_HOST',
'HTTP_CONNECTION',
'HTTP_CACHE_CONTROL',
'HTTP_USER_AGENT',
'HTTP_ACCEPT',
'HTTP_ACC... | null | logtools/utils.py | utils.py | py | 1,940 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 46,
"usage_type": "call"
}
] |
460288481 | from django.contrib import admin
from basics.relatedfield_admin import *
from accounts.models import *
from .models import *
class AboutAdmin(admin.ModelAdmin):
fieldsets = (
('Post',{
'fields':('title','image','post')
}),
)
list_display = ('title','post','date')
list_f... | null | basics/admin.py | admin.py | py | 1,422 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 24,
"usage_type": "call"
},... |
614594985 | import unittest
from teschelpers import UrlBuilder, UrlFetcher
from bs4 import BeautifulSoup
from requests import Response
class TestTescHelpers(unittest.TestCase):
@classmethod
def setUpClass(cls):
start = 2016
end = 2016
search = '^title:"experience sampling" OR abstract:"experience sampling"'
cls.url_w... | null | lib/TescPerf/test_tesc_helpers.py | test_tesc_helpers.py | py | 2,228 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "teschelpers.UrlBuilder",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "teschelpers.UrlBuilder",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "t... |
221746437 | from models.user import User
from models.tweet import Tweet
from models.comment import Comment
from session import session
from utils import log, template
from routes import (
redirect,
http_response,
error,
check_id_tweet,
check_id_comment,
)
from routes.routes_user import current_user
from rout... | null | server_normal/routes/routes_tweet.py | routes_tweet.py | py | 3,865 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "routes.routes_user.current_user",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "models.user.User.find",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.user.User",
"line_number": 26,
"usage_type": "name"
},
{
"api_name":... |
551653233 | #!/usr/bin/env python
# coding: utf-8
# In[6]:
import pandas as pd
import math
import numpy as np
import time
from collections import defaultdict
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn.preprocessing import OneHotEncoder
from sklearn.feature_extraction.t... | null | project.py | project.py | py | 8,679 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.download",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.s... |
377398067 | # Import dependencies
from flask import Flask, render_template, request, jsonify
import base64
import numpy as np
import pandas as pd
import io
from PIL import Image
from clarifai.rest import ClarifaiApp
from utils.get_top_k import get_top_k
from utils.get_pearson import pearson
from utils.get_new_pic_matrix import b... | null | app.py | app.py | py | 1,995 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "clarifai.rest.ClarifaiApp",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "load_all_tags.... |
127084401 | import pygame as pg
class Shadow:
"""
A class for adding dynamic shadows to 2d-sprites.
"""
def __init__(self, image):
self.image = image
self.w, self.h = self.image.get_size()
self.shadow_strips = self.make_shadow_elements(self.image)
def make_shadow_elements(self, image)... | null | Script/Shadows.py | Shadows.py | py | 1,718 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.Surface",
"line_number": 19,
"usage_type": "call"
}
] |
524376971 | from audio.models import Audio, Chapter, Audio_twenty, Audio_forty, Audio_sixty
from pydub import AudioSegment
import os
import shutil
from os.path import expanduser
from django.core.files import File
def concatenate_audio(chapter_id, length_audio):
queryset = Audio.objects.filter(chapter_id = chapter_id)
audios_t... | null | django-backend/populate_audio_aggregate.py | populate_audio_aggregate.py | py | 3,439 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "audio.models.Audio.objects.filter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "audio.models.Audio.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "audio.models.Audio",
"line_number": 10,
"usage_type": "name"
},
{
... |
88877373 | import sys
import itertools
from collections import Counter
import logging
logger = logging.getLogger('spectral_peaks')
if not logger.handlers:
stream = logging.StreamHandler(sys.stdout)
stream.setLevel(logging.INFO)
logger.addHandler(stream)
import librosa
import numpy as np
import scipy
import matplotlib... | null | fingerprint/spectral_peaks.py | spectral_peaks.py | py | 5,789 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
... |
573728683 | import numpy as np
import json
from collections import defaultdict
from util import *
import matplotlib.pyplot as plt
import bisect
class pop_sz_dst:
def __init__(self, i_file):
pop_sz = defaultdict(lambda : defaultdict(int))
f = open(i_file, "r")
key = "-"
t_pop = 0
... | null | data/joint_dst.py | joint_dst.py | py | 3,241 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 38,
"usage_type": "call"
},
{
"api_name"... |
608639776 | import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.optim as optim
import numpy as np
torch.manual_seed(111)
class semiCRF(nn.Module):
def __init__(self, tagset_size=3, max_seq_len=4):
'''
Note in this model, suppose a beginning node
'''
super(semiCRF, s... | null | uni_semiCRF.py | uni_semiCRF.py | py | 10,842 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.manual_seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
... |
315467713 | from django.urls import path
from . import views
app_name = "blogs"
urlpatterns = [
# home page
path('', views.index, name='index'),
# add new post
path('new_post/$', views.new_post, name='new_post'),
# edit previous posts
path('edit_post/<post_id>/$', views.edit_post, name='edit_post'),
] | null | Chapters 18 to 20/blog/blogs/urls.py | urls.py | py | 303 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
}
] |
621775785 | import sys
import urllib
import urllib.parse
import urllib.request
import json
import collections
DOMAIN = 'http://api.geonames.org/'
USERNAME = 'asv2015' #username
MAPS = 'https://maps.google.de/maps?q='
class Location(object):
def __init__(self, geonameId, name, lng, lat):
self.geonameId = geonameId
self.nam... | null | Abgabe/Programm/geonames.py | geonames.py | py | 2,088 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.OrderedDict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "urll... |
93399477 | """
Implement a triplet network, because this implicitly implements a margin-loss!
"""
import random
import numpy as np
import torch
from matplotlib.markers import MarkerStyle
from sklearn.decomposition import PCA
from torch import nn, optim
from torch.distributions import Categorical
# TODO: we need to make sur... | null | notebooks/2020_04_08 deep metric learning/triplet_network_test.py | triplet_network_test.py | py | 9,244 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
163158621 | #!/usr/bin/env python3
from bottle import route, run, request, response, static_file
import YakDB
import json
import os.path
from Languages import findAvailableLanguages
import pofilter
from toolz.dicttoolz import valmap
import operator
from collections import OrderedDict
conn = YakDB.Connection()
conn.connect("tcp://... | null | PolyglottServer.py | PolyglottServer.py | py | 3,189 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "YakDB.Connection",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"l... |
602292660 | # -*- coding: utf-8 -*-
"""
Showcases *CIECAM02* colour appearance model computations.
"""
import numpy as np
import colour
from colour.utilities import message_box
message_box('"CIECAM02" Colour Appearance Model Computations')
XYZ = np.array([19.01, 20.00, 21.78])
XYZ_w = np.array([95.05, 100.00, 108.88])
L_A = 31... | null | colour/examples/appearance/examples_ciecam02.py | examples_ciecam02.py | py | 1,291 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "colour.utilities.message_box",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "colour.VIEWING_C... |
292784721 | from flask import g,request
from app.models import User,Cookbook,Schedule
from flask_restful import Resource,fields,marshal_with,reqparse,inputs,marshal
from app.extensions import db
from app.api.common.auth import token_auth
from app.api.resources.users import user_fields
from app.api.resources.cookbooks import cookbo... | null | app/api/resources/schedules.py | schedules.py | py | 2,500 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask_restful.Resource",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask_restful.fields.Raw",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask_restful.fields",
"line_number": 17,
"usage_type": "name"
},
{
"api_nam... |
637256353 | from django.test import TestCase
from django.contrib.auth.models import User
from django.urls import reverse
from django.utils import timezone
from . import models
class TestStudentSpecifiesCommuteDistance(TestCase):
def test_successfully(self):
examples = [
{"username": "joe", "miles": 42},
... | null | mileage_tracker/tests.py | tests.py | py | 9,321 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 17,
"usa... |
84257285 | import boto3
import botocore
from botocore.exceptions import ClientError, ParamValidationError
import json
import os
# Written by Dane Fetterman September 2019
# This lambda function runs against the Master Account Env.
env=os.environ['env']
# def response(message, status_code):
# return {
# 'statusCode... | null | AddMemberAccount.py | AddMemberAccount.py | py | 4,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "json.dum... |
579469336 | # -*- coding: utf_8 -*-
import cgi
import os
import wsgiref.handlers
import logging
import urllib
import urllib2
import socket
import csv
import datetime
import datamodel
import md5
from StringIO import StringIO
from google.appengine.ext.webapp import template
from google.appengine.api import users
from google.appeng... | null | Cobitia/main.py | main.py | py | 5,565 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "google.appengine.ext.webapp.RequestHandler",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.webapp",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "google.appengine.api.users.get_current_user",
"line_number": 44,
... |
620973880 | import csv
from math import *
import matplotlib
from matplotlib import pyplot as plt
import numpy as np
plt.rc('text', usetex=True)
#plt.rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
#plt.rc('font',**{'family':'serif','serif':['Palatino']})
plt.rc('font', family='serif')
#### data ####
xtau = np.... | null | latex/04 - Final Project Report/data/intensity.py | intensity.py | py | 1,574 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
223753905 | # -*- coding: utf-8 -*-
# Name: InstanceLock
# Purpose: Lockfile para detectar instancias previas de la app
#
# Author: Pela
#
# Created: 11/03/2013
# Copyright: (c) Pela 2013
# flock.py
import os
import socket
import logging
class Ilock(object):
"""
Class to handle creating and rem... | null | _classes/InstanceLock.py | InstanceLock.py | py | 2,943 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"... |
129251154 | import pickle
from collections import defaultdict
import sqlite3
def main():
conn = sqlite3.connect('course_surfer.db')
conn1 = sqlite3.connect('course_surfer1.db')
cursor1 = conn1.cursor()
cursor = conn.cursor()
query1 = ""
query1 += "INSERT OR IGNORE INTO course "
query1 += "(dept_code, num, id, name, ... | null | CourseSurferDbFiles/read_output1.py | read_output1.py | py | 2,948 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 40,
"usage_type": "call"
}
] |
185053458 | from django.db import models
from django.contrib.auth.models import User
from datetime import datetime
class Customer(models.Model):
full_name = models.CharField("Name", max_length=255)
address1 = models.CharField(max_length=255)
address2 = models.CharField(" ", max_length=255, null=True, blank=True)
... | null | referral/core/models.py | models.py | py | 4,241 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "... |
495990778 | #
# Copyright (C) 2014-2019 S[&]T, The Netherlands.
#
from __future__ import absolute_import, division, print_function
import logging
import multiprocessing
try:
from tqdm import tqdm as bar
except:
def bar(range):
return range
import muninn
from .utils import create_parser, parse_args_and_run
log... | null | muninn/tools/update.py | update.py | py | 5,021 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "muninn.open",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "muninn.open",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
... |
3416982 | #!/usr/bin/env python3
# usage:
# fwhmSweep.py 56530 7 14
# fwhmSweep.py <mjd> <file number first> <file nimber last>
import glob
import pyfits
import sys, os
import numpy as np
from scipy import ndimage
from pylab import *
import scipy
directory="/data/ecam/%s/" % (sys.argv[1])
# if directory exist?
if os.pa... | null | old_bin/fwhmSweepTmp.py | fwhmSweepTmp.py | py | 2,601 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number... |
30606978 | from threading import Thread
import socket
import json
import time
from PyQt5 import QtCore
from PyQt5.QtCore import pyqtSignal
host = "127.0.0.1"
port = 10000
class SocketServer(QtCore.QThread):
return_sig = pyqtSignal(str)
def __init__(self, host, port):
super().__init__()
self.server_soc... | null | pythone_classPractice/tornado_web_socket/gui_class demo/SocketServer.py | SocketServer.py | py | 1,782 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket... |
32391294 | import os
from base import *
from decouple import ConfigIni
import dj_database_url
config = ConfigIni(PROJECT_DIR.child('infra_confs')+'/settings.ini')
########## INSTALLED APPS CONFIGURATION
INSTALLED_APPS += (
'django_nose',
'nose',
)
########## TEST SETTINGS
TEST_RUNNER = "django_nose.NoseTestSuiteRunner... | null | apps/django_rest/django_rest/settings/ci.py | ci.py | py | 839 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "decouple.ConfigIni",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "dj_database_url.config",
"line_number": 35,
"usage_type": "call"
}
] |
464256803 | # coding: utf-8
#
# Copyright 2021 The Oppia Authors. 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 requi... | null | jobs/io/ndb_io.py | ndb_io.py | py | 4,963 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core.platform.models.Registry.import_datastore_services",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "core.platform.models.Registry",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "core.platform.models",
"line_number": 28,
"usa... |
72781463 | import numpy as np
import matplotlib.pyplot as plt
import sys
def reproduct(k=2):
base = np.loadtxt("H.csv", delimiter = ",")
org = np.loadtxt("org.csv", delimiter = ",")
weight = np.loadtxt("U.csv", delimiter = ",")
for i in range(org.shape[1]):
y = range( org.shape[0] )
fit = np.zeros( org.shape[0] )
for... | null | src_otherwise/reproduct.py | reproduct.py | py | 779 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number... |
572985932 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /home/travis/build/Dallinger/Dallinger/dallinger/jupyter.py
# Compiled at: 2020-04-15 14:09:48
# Size of source mod 2**32: 1386 bytes
from ipywidgets import widge... | null | pycfiles/dallinger-6.1.0.tar/jupyter.cpython-36.py | jupyter.cpython-36.py | py | 1,636 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jinja2.Template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "jinja2.Template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ipywidgets.widgets.VBox",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ipywidge... |
39921985 | # Inverted Pendulum Parameter File
import sys
sys.path.append('..') # add parent directory
import pendulumParam as P
import numpy as np
from scipy import signal
import control as cnt
# sample rate of the controller
Ts = P.Ts
# saturation limits
F_max = P.F_max # Max Force, N
########################################... | null | control_book_public_solutions-master/_B_pendulum/python_old/hw14/pendulumParamHW14.py | pendulumParamHW14.py | py | 3,340 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pendulumParam.Ts",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pendulumParam.F_max... |
591296834 | import sqlite3
conn = sqlite3.connect('zh.db')
print("Opened database successfully")
conn.execute('''CREATE TABLE USER
(ID INT PRIMARY KEY NOT NULL,
NAME TEXT NOT NULL,
TELEPHONE CHAR(15) NOT NULL,
COMPANY TEXT NOT NULL,
ADDRESS ... | null | HW10/Group9/hw10_1720408.py | hw10_1720408.py | py | 1,726 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
479003407 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# author: bigfoolliu
"""
给你一个有序数组 nums ，请你 原地 删除重复出现的元素，使每个元素 只出现一次 ，返回删除后数组的新长度。
不要使用额外的数组空间，你必须在 原地 修改输入数组 并在使用 O(1) 额外空间的条件下完成。
说明:
为什么返回数值是整数，但输出的答案是数组呢?
请注意，输入数组是以「引用」方式传递的，这意味着在函数里修改输入数组对于调用者是可见的。
你可以想象内部操作如下:
// nums 是以“引用”方式传递的。也就是说，不对实参做任何拷贝
int len = re... | null | algorithms/leetcode/easy/0026_删除有序数组中的重复项.py | 0026_删除有序数组中的重复项.py | py | 2,983 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 88,
"usage_type": "name"
},
{
"api_name": "doctest.testmod",
"line_number": 101,
"usage_type": "call"
}
] |
270644092 | from django.contrib.auth.models import User
from django.http import JsonResponse
from django.shortcuts import redirect
from rest_framework.response import Response
from rest_framework.authentication import SessionAuthentication, BasicAuthentication
from rest_framework.permissions import IsAuthenticated
from rest_frame... | null | main/views.py | views.py | py | 10,826 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "abstract.viewsets.CreateListRetrieveUpdateViewSet",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "rest_framework.renderers.TemplateHTMLRenderer",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_numb... |
421883207 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Time : 2019/7/4 10:50
@Author : geqh
@file : tag_EN.py
"""
import jieba.posseg as pseg
from utils.log import *
from utils.confPaser import *
import os
def load_dict():
dic_path = os.path.join(project_path, "conf/dic_cn.txt")
map = {}
... | null | tagCN/tag_CN.py | tag_CN.py | py | 986 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "jieba.posseg.cut",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "jieba.posseg",
"line_n... |
358860780 | from django.conf.urls import url
from rest_framework.urlpatterns import format_suffix_patterns
from respondents import views
app_name = "respondents"
urlpatterns = [
url(r"^search/$", views.search_results, name="search_results"),
url(
r"/".join([
r"^branchLocations",
r"(?P<no... | null | respondents/urls.py | urls.py | py | 634 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "respondents.views.search_results",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "respondents.views",
"line_number": 10,
"usage_type": "name"
},
{
"api_... |
388332413 | #%%
import os
import numpy as np
import cv2
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import pandas as pd
from torch.utils.data import DataLoader, Dataset
import time
#%%
#读取图片
def readfile(path,lable):
image_dir = sorted(os.listdir(path))
x = np.zeros((len(image_dir),128,12... | null | foodClassifier.py | foodClassifier.py | py | 5,951 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
332053335 | import json
import os
import requests
from math import radians, cos, sin, asin, sqrt
def haversine(lon1, lat1, lon2, lat2):
"""
Calculate the great circle distance between two points
on the earth (specified in decimal degrees)
"""
# convert decimal degrees to radians
lon1, lat1, lon2, lat2 = ... | null | bars.py | bars.py | py | 2,791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.radians",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "math.sin",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.asin",
"line_number": 20,... |
28391652 | print("==============================================================================================")
print("starting........................................................................................")
import glob
import numpy as np
print("imported glob, np.............................................. | null | Code/Latent_Variable_Models/deep-gen/autoencoder2.py | autoencoder2.py | py | 4,479 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_numbe... |
51960428 |
'''
State of a shifting puzzle.
Python 3
AHN, Mar 2020
'''
from pdb import set_trace as BP
import math, random, json
from collections import defaultdict
import numpy as np
#===========================================
class StateJsonEncoder( json.JSONEncoder):
def default(self, obj):
if isinstance(obj, ... | null | pyth/proj/08_puzzlecomp/state.py | state.py | py | 5,893 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.JSONEncoder",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.int64",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "json.JSONEn... |
99636927 | #!/usr/bin/env python3
from browser import Browser
from flask import Flask, render_template, request
from flask import jsonify
app = Flask(__name__)
browser = Browser()
@app.route('/')
@app.route('/<string:rootid>')
def index(rootid=0):
return render_template('index.html',
rootid=roo... | null | server.py | server.py | py | 1,138 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "browser.Browser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "browser.get",
"li... |
594537459 | import matplotlib.pyplot as plt
import matplotlib.animation as animation
import random
import math
import mpl_toolkits.mplot3d.axes3d as p3
from numpy import numpyzdetz
fig = plt.figure()
ax = p3.Axes3D(fig)
# fig, ax = plt.subplots()
px = 0
py = 0
pz = 0
point = ax.scatter([px], [py], [pz], 'ro')
# point = ax.pl... | null | flies/test1.py | test1.py | py | 748 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mpl_toolkits.mplot3d.axes3d.Axes3D",
"line_number": 10,
"usage_type": "call"
},
{
"api_n... |
648391974 | import pandas as pd
import glob
import os
import sys
import matplotlib.pyplot as plt
project_id = sys.argv[1]
genome = sys.argv[2]
minreads = int(sys.argv[3])
bam_type = sys.argv[4]
x = 1 # number of repetitions of codons. E.g. x=1 means we look for "ATG" and x=2 means we look for "ATGATG" and so on.
# x can be theo... | null | ext_diricore/triplets/1_count_triplets.py | 1_count_triplets.py | py | 5,801 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": ... |
304378358 |
# the maximum age of an event, in seconds, before it is published to the LRS
PUBLISH_MAX_WAIT_TIME = 60
# the number of statements to publish per batch
PUBLISH_MAX_PAYLOAD = 10
# maximum publish retries on LRS connection error
PUBLISH_MAX_RETRIES = 1
# lrs credentials
LRS_ENDPOINT = 'https://lrs.adlnet.gov/xAPI/'
L... | null | xapi_bridge/settings-dist.py | settings-dist.py | py | 976 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sentry_sdk.init",
"line_number": 38,
"usage_type": "call"
}
] |
446633123 | from urllib.parse import urlencode
import requests
import json
url = 'http://web.juhe.cn:8080/environment/air/cityair'
params = {
'city': '郑州',
'key': 'bae9fd7d6958840b5f31f0ab49bb537c',
}
r = requests.get(url, params)
d = json.loads(r.content)
print(d)
print(d.get('result')[0].get('citynow').get('AQI'))
| null | test.py | test.py | py | 323 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
}
] |
508582007 | # uncompyle6 version 3.7.4
# Python bytecode 3.5 (3350)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /Users/kmclaughlin/git/LABHR/octohatrack/octohatrack/utils.py
# Compiled at: 2015-11-21 05:35:59
# Size of source mod 2**32: 1257 bytes
import os, logging
class ... | null | pycfiles/octohatrack-0.6.1.tar/utils.cpython-35.py | utils.cpython-35.py | py | 1,198 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.environ.... |
640806391 | from django.contrib.contenttypes.models import ContentType
from apps.annotations.models import Annotation
def delete_annotations_handler(sender, instance, **kwargs):
Annotation.objects.filter(
content_type=ContentType.objects.get_for_model(instance._meta.model),
object_id=instance.pk,
).delet... | null | apps/annotations/handlers.py | handlers.py | py | 324 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "apps.annotations.models.Annotation.objects.filter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "apps.annotations.models.Annotation.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "apps.annotations.models.Annotation",
"line_nu... |
349988848 | # Let's get this party started
import re
import os
import sys
import json
import redis
import falcon
# Set the path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__))))
# load resources
from resources.auth import AuthResource
from resources.ping import PingResource
from resources.summary import S... | null | app.py | app.py | py | 2,709 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
586901301 | # -*- coding: utf-8 -*-
'''
Created on 2019-May-27 08:51:22
TICKET NUMBER -AI_1231
@author: MS-Muhil
'''
from scrapy.loader import ItemLoader
from scrapy.loader.processors import MapCompose
from w3lib.html import remove_tags, replace_escape_chars
import glob
from Data_scuff.extensions.feeds import ExcelFeedSpider
fr... | null | all_spider/AI_1231/sc_liquor_licenses.py | sc_liquor_licenses.py | py | 9,383 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Data_scuff.extensions.feeds.ExcelFeedSpider",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "Data_scuff.spiders.__common.DataFormatterMixin",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "Data_scuff.spiders.__common.LookupDatareaderMixin",
... |
528697954 | from django.http import HttpResponse, HttpResponseRedirect
from datetime import datetime, timedelta, date
from django.shortcuts import render, get_object_or_404
from django.views import generic
from django.urls import reverse
from django.utils.safestring import mark_safe
from django.utils.dateparse import parse_datetim... | null | cal/views.py | views.py | py | 3,145 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 33,
"usage_type": "name"
},
{
"a... |
146925250 | # Copyright 2018 Novo Nordisk Foundation Center for Biosustainability, DTU.
#
# 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 requir... | null | src/simulations/modeling/adapter.py | adapter.py | py | 23,044 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "simulations.ice_client.ICE",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "collections.na... |
570111721 | import pymysql
import numpy as np
import psycopg2
import pickle
from flask import Flask,render_template,request,jsonify
from flask_cors import CORS,cross_origin
import warnings
from flask_sqlalchemy import SQLAlchemy
warnings.filterwarnings("ignore")
# db = pymysql.connect(host="localhost",user="root",passwd... | null | app.py | app.py | py | 1,738 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.load",
... |
639471304 | from collections import defaultdict
class graph:
def __init__(self):
self.node = defaultdict(list)
def add_edge(self, u, v):
self.node[u].append(v)
# with stack
def bfs_level(self, n, start_node):
visited = [0 for i in range(n)]
visited[start_node] = 0
bfs_tra... | null | 2021/mar/21/bfs_level.py | bfs_level.py | py | 1,059 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
}
] |
462898394 | # encoding:utf-8
import requests
import base64
'''
通用文字识别（高精度版）
'''
def get_token():
'''
获取access_token
:param API_KEY:
:param SECRET_KEY:
:return:
'''
access_token_url = "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={}&client_secret={}".format(
... | null | 开发相关/Python/test.py | test.py | py | 963 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 33,
"usage_type": "call"
}
] |
57047322 | import sqlite3
"""
SELECT перечень_полей FROM имя_таблицы
WHERE условие
"""
# Подключение к БД
con = sqlite3.connect(input())
# Создание курсора
cur = con.cursor()
# Выполнение запроса и получение всех результатов
result = cur.execute("""SELECT title FROM Films
WHERE duration >= 60 AND ... | null | 2nd_year/QT 7. Введение в БД, работа с SQL-таблицами и отображение данных в PyQT. Часть 1/Classwork/Музыкальные и анимационные новинки.py | Музыкальные и анимационные новинки.py | py | 656 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
608762291 | #!/usr/bin/env python
import os
import sys
import json
import datetime
from pathlib import Path
import pandas as pd
from tqdm import tqdm
from utils import plot_forecast, plot_column
# Establish root of the project
ROOT = Path(os.path.dirname(__file__)) / '..'
pivot_columns = ['CountryCode', 'CountryName', 'Region... | null | input/compute_charts.py | compute_charts.py | py | 3,708 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line... |
37596720 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('themes', '0021_themecontent_json_file'),
]
operations = [
migrations.RemoveField(
model_name='twitteratimember',... | null | themes/migrations/0022_auto_20151209_1434.py | 0022_auto_20151209_1434.py | py | 535 | python | en | code | null | code-starcoder2 | 66 | [
{
"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.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
246197953 | import math
import os
import sys
from multiprocessing import Value, Process, Queue, Pipe
from threading import Thread
import mplfinance as mpf
import pandas as pd
import finplot as fplt
import requests
import time
from broker import Broker, Account
class LivePlotter:
def __init__(self, pipe, init_data, init_sym, ... | null | live_plotter.py | live_plotter.py | py | 3,149 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "finplot.create_plot",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "finplot.candlestick_ochl",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "finplot.volume_ocv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "finpl... |
612590330 | """
SearchCore frontend searcher controller.
"""
import json
from searchcore import config
from searchcore import frontend
from searchcore.frontend.controllers import app
from searchcore.frontend.controllers import request
from searchcore.frontend.controllers import jsonify
from searchcore.frontend.services import ... | null | src/searchcore/frontend/controllers/searchers.py | searchers.py | py | 8,755 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "searchcore.frontend.searchers.items",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "searchcore.frontend.searchers",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "searchcore.frontend",
"line_number": 60,
"usage_type": "name"
},... |
591355760 | import pygame
from .board import newBoard
from .constants import *
from copy import deepcopy
class Game:
def __init__(self, Width, Height, Rows, Cols, Square,Win):
self.Win = Win
self.Board = newBoard(Width, Height, Rows, Cols,Square, Win)
self.Square = Square
self.selected = None
... | null | chess_game/game.py | game.py | py | 6,446 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "board.newBoard",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display.update",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "board.newBoa... |
87978925 | from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.chrome.options import Options
from flask import Flask, escape, request, jsonify
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
fro... | null | API_Roraima_Captcha/Roraima.py | Roraima.py | py | 4,542 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "f... |
624123828 | from flask import Flask,request,abort
from flask_restful import Resource, Api
from productsinfo import ProductsInfo,Notify,Reviews
app = Flask(__name__)
api = Api(app)
api.add_resource(ProductsInfo,'/productdetails')
api.add_resource(Notify,'/notify')
api.add_resource(Reviews,'/reviews')
@app.after_request
def afte... | null | SERVICES/productpos.py | productpos.py | py | 664 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "productsinfo.ProductsInfo",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "productsinfo... |
273445981 | import re
from pyramid.httpexceptions import HTTPFound
from pyramid.view import view_config
@view_config(route_name='home', renderer='base.mako')
def my_view(request):
user_agent = request.user_agent
ie_version = re.compile(r"MSIE ([^;]+)")
if 'Windows' in user_agent:
version = ie_version.search(u... | null | ERP/erp/views.py | views.py | py | 641 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyramid.httpexceptions.HTTPFound",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyramid.view.view_config",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "py... |
187319497 | import json
import plotly.express as px
import pandas as pd
filename = 'eq_data_30_day_m1.json'
with open(filename) as f:
all_eq_data = json.load(f)
all_eq_dicts = all_eq_data['features']
eqtitle = all_eq_data['metadata']['title']
mags, titles, lons, lats = [], [], [], []
for eq_dict in all_eq_dict... | null | 16/eq_world_map.py | eq_world_map.py | py | 1,484 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "plotly.express.scatter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "plotly.express",
... |
467272608 | #! /opt/local/bin/python
import numpy as np
from array_util import *
from obspy.core import UTCDateTime
import matplotlib.pyplot as plt
from scipy.signal import *
## pre-computed travel time and ray parameter from support reflector on grid
ttimefile = 'ttime.txt'
fid = open(ttimefile, 'r')
## read dimension
ndepth =... | null | DSM_SYNTHETIC/migration.py | migration.py | py | 4,810 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "obspy.core.UTCDateTime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"l... |
322033026 | import os
import time
from datetime import datetime
import logging
#import logging
#logging.basicConfig(level = logging.INFO,format = '%(asctime)s:%(levelname)s - %(message)s')
import tensorflow as tf
from tensorflow.python.training import session_run_hook
from tensorflow.python.training import basic_session_run_ho... | null | evaluater.py | evaluater.py | py | 6,272 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Event",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "t... |
591425691 | from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_STATUS_CHOPPER(object):
def setupUi(self, STATUS_CHOPPER):
STATUS_CHOPPER.setObjectName("STATUS_CHOPPER")
STATUS_CHOPPER.resize(1040, 685)
STATUS_CHOPPER.setMinimumSize(QtCore.QSize(1040, 685))
STATUS_CHOPPER.setMaximumSize(QtCore... | null | status.py | status.py | py | 35,652 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtCore.QSize",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QSize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"l... |
417725750 | import csv
import os
import re
import zipfile
import pandas as pd
from sqlalchemy import create_engine
import xlrd
def _get_xls_filename_list():
xls_dir = './test'
for _, _, filename_list in os.walk(xls_dir):
pass
xls_filename_list = []
for file_name in filename_list:
if file_name.end... | null | csi/t_csi.py | t_csi.py | py | 3,386 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.walk",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "xlrd.open_workbook",
"line_numb... |
601756499 | # -*- coding: utf-8 -*-
"""
Created on Sun Aug 26 17:15:15 2018
@author: Kai Steverson
This file trains a recurrent neural net to use titles to predict SJR score.
This file assumes process_raw_data() from process_raw_data.py has been run.
This file assumes preprocess() from preprocess.py has been run.
"""
import t... | null | train_model.py | train_model.py | py | 16,319 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.inf",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "paths.glove",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "paths.processed",
"line_num... |
337355188 | import os
import json
def classesNames(dataset):
class_names = ""
if dataset == 'MHEALTH.npz':
actNameMHEALTH = {
0: 'Standing still',
1: 'Sittingand relaxing',
2: 'Lying down',
3: 'Walking',
4: 'Climbing stairs',
5: 'Waist bends fo... | null | utils.py | utils.py | py | 7,409 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dump",
"line_number": 151,
"usage_type": "call"
}
] |
503414168 | from nltk.tokenize import word_tokenize
from nltk.util import ngrams
from gensim.models import LdaModel
import logging
from gensim import corpora
import pandas
import numpy
stop_words = pandas.read_csv("stop_Words.txt", header=None)
stop_words = stop_words[0].tolist()
# scale an input array-like to a min... | null | assets/api/lda_model.py | lda_model.py | py | 2,974 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_n... |
318485167 | from transformers import *
from typing import List, Dict
from common import Instance
from config import Config
import torch.nn as nn
from termcolor import colored
context_models = {
'bert-base-uncased' : { "model": BertModel, "tokenizer" : BertTokenizer },
'bert-base-cased' : { "model": BertModel, "tokeni... | null | config/transformers_util.py | transformers_util.py | py | 3,916 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.Config",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "termcolor.colored",
"... |
476161257 | from dataclasses import dataclass, field
from typing import List
@dataclass
class Product:
"""
:ivar name:
:ivar size:
"""
class Meta:
name = "product"
name: List[str] = field(
default_factory=list,
metadata=dict(
type="Element",
namespace="",
... | null | tests/fixtures/defxmlschema/chapter06/example0611.py | example0611.py | py | 625 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"li... |
260730685 | import os
import urllib.request
import zipfile
import tarfile
import glob
import io
make_dirs = ['./data/', './vocab', './weights']
for d in make_dirs:
if not os.path.exists(d):
os.makedirs(d)
# ----- #
# vocab #
# ----- #
# 'bert-base-uncased':
# https://s3.amazonaws.com/models.huggingface.co/bert/bert... | null | bert/make_folders_and_data_downloads.py | make_folders_and_data_downloads.py | py | 2,854 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlret... |
191257765 | """Module for constructing RNN Cells."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.ops.rnn_cell import RNNCell
from tensorflow.python.ops import variable_scope as vs
from tensorflow.python.ops import array_ops
from tensorflow.py... | null | tensorflow/models/rnn/translate/seq2seq/wrapper_cells.py | wrapper_cells.py | py | 4,067 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.python.ops.rnn_cell.RNNCell",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.ops.rnn_cell.RNNCell",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.ops.variable_scope.variable_scope",
"line_num... |
369504021 |
#!/usr/bin/env python3
# coding: UTF-8
import rclpy
from rclpy.node import Node
import math
import socket
import struct
import RPi.GPIO as GPIO
import time
import serial
import struct
from message_info.msg import RobotCommands
from message_info.msg import RealCommands
GPIO.setwarnings(False)
class RealSender(Nod... | null | src/rasp/python_programs/main.py | main.py | py | 4,804 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "RPi.GPIO.setwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "rclpy.node.Node",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "math.pi",
"line_num... |
595722938 | import numpy as np
import cv2
import imutils
import math
class segmentor:
def __init__(self):
#Constant variables and kernels used for Segmentation
#minLim refers to the lower limit of skin pixel intensities in YCrCb colorspace
self.minLim = np.array([0, 133, 77], dtype = np.uint8) ... | null | Segmentor_App.py | Segmentor_App.py | py | 6,420 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_numb... |
317412374 | # -*- coding: utf-8 -*-
from __future__ import print_function
import click
import os
import re
import scipy.misc
import warnings
import face_recognition.api as face_recognition
import multiprocessing
import itertools
import sys
def scan_known_people(known_people_folder):
known_names = []
known_face_encodings ... | null | face_recognition/face_recognition/cli.py | cli.py | py | 3,765 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.splitext",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "face_recognition.api.l... |
630157185 | import numpy as np
from flask import Flask, request, jsonify, render_template
from joblib import load
app = Flask(__name__)
model = load("naive.save")
sc=load("transform.save")
@app.route('/')
def home():
return render_template('index.html')
@app.route('/y_predict',methods=['POST'])
def y_predict(... | null | Flask/ML Flask (Classification)/app.py | app.py | py | 904 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_nu... |
188249783 | import telebot
from threading import Thread
from telebot import types
from mainmain import *
import logging
import schedule
bot = telebot.TeleBot(TOKEN)
logging.basicConfig(filename=LOG_FILE, filemode='a', level=logging.DEBUG,
format='%(asctime)s,%(msecs)d %(levelname)s %(message)s', datefmt='%Y-... | null | bot.py | bot.py | py | 4,489 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "telebot.TeleBot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "telebot.logging... |
364632761 | import os
import pandas as pd
import numpy as np
import sklearn
import glob
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import precision_recall_curve,auc
from sklearn.metrics import precision_recall_curve,auc
import matplotlib.pyplot as plt
... | null | Lu_Dataset/Program_FinalModel.py | Program_FinalModel.py | py | 3,419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.utils",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "sklearn.ense... |
40299007 | from pymongo import MongoClient
def mongoOutput(document, filename):
docu = document.find()
with open(filename, 'w',encoding='utf-8') as f:
for d in docu:
f.write(str(d)+'\n')
f.close()
if __name__ == '__main__' :
conn = MongoClient(localhost, 27017)
# train documents
db1 =... | null | src/MongoOutput.py | MongoOutput.py | py | 949 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
}
] |
322446229 | # lot/lot.py
class Lot():
def __init__(self):
CAPACITY = 75
def lot_details(self, used, *season, **ay):
self.capacity = CAPACITY
self.remaining = CAPACITY - used
self.lot = {'capacity': capacity, 'assignments': assigned,'available_spots': remaining}
return lot
... | null | lot/lot.py | lot.py | py | 881 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "plotly.offline.plot",
"line_number": 36,
"usage_type": "call"
}
] |
510744168 | from datetime import datetime as dt
from provider.utils import get_dom
URL = "http://dezsoba.hu/hu/heti-menue"
def getMenu(today):
day = today.weekday()
try:
dom = get_dom(URL)
menu = dom.xpath('//div[@class="sppb-menu-text"]')
menu = '<br>'.join(menu[day].xpath("text()"))
except:
... | null | provider/dezso.py | dezso.py | py | 488 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "provider.utils.get_dom",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "name"
}
] |
69666747 | # -*- coding:utf-8 -*-
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
# This program is free software; you can redistribute it and/or modify
# it under the terms of the MIT License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the ... | null | built-in/TensorFlow/Research/cv/image_classification/Darts_for_TensorFlow/automl/vega/algorithms/nas/auto_lane/auto_lane_nas_algorithm.py | auto_lane_nas_algorithm.py | py | 4,211 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vega.search_space.search_algs.search_algorithm.SearchAlgorithm",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "conf.AutoLaneConfig",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "vega.search_space.search_algs.random_search.RandomSearchAlgori... |
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