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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
599223068 | import pandas as pd
import pymysql
import sys
import tushare as ts
def svmPredict(oriDf):
sys.path.append("C:\\Users\\xjwhh\\Anaconda3\\Lib\\site-packages")
# import svm
# import naive_bayes
# import ensemble
from sklearn import svm
from sklearn import naive_bayes
from sklearn import ensem... | null | src/main/java/stocking/python_Impl/MinuteData1.py | MinuteData1.py | py | 7,086 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVC",
"line... |
449310029 | from __future__ import unicode_literals, print_function, division
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
class SGNS(nn.Module):
"""Skip-Gram Negative Sampling architecture."""
def __init__(self, vocab_size, dim, enable_cuda=False):
"""Ini... | null | Lab2/SGNS/SGNS.py | SGNS.py | py | 1,656 | python | en | code | null | code-starcoder2 | 66 | [
{
"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.Embedding",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
319124702 | # -*- coding: utf-8 -*-
import webapp2
import jinja2
import os
import json
import urllib
import hashlib
import time
import cgi
from urllib import urlopen
from google.appengine.api import users
from google.appengine.ext import ndb
ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.pa... | null | write_review.py | write_review.py | py | 6,182 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jinja2.Environment",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
594682739 | from django.contrib import admin
from django.contrib.contenttypes.admin import GenericStackedInline
from .models import MetaContent, URLMetaContent
class MetaContentInlineAdmin(GenericStackedInline):
model = MetaContent
max_num = 1
fieldsets = (
('HTML', {
'fields': ('title', 'descrip... | null | blancseo/admin.py | admin.py | py | 989 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.contenttypes.admin.GenericStackedInline",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.MetaContent",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 22,
"usage_type"... |
369030054 | # -*- encoding:utf-8 -*-
from datetime import datetime
import json
import requests
from django.conf import settings
from rest_framework import viewsets
from models import ScopeEvent
from serializers import ScopeEventSerializer
from tools.decorator import api_except
from tools.iam_client import scopes_list, user_list
f... | null | WiseEye/alert_back/summary/views.py | views.py | py | 3,830 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tools.record_opr_log.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 21,
"usage_type": "name... |
639013083 | #local stuff
import yahoo_api, functions
import yaml
with open("credentials.yml", 'r') as ymlfile:
creds = yaml.load(ymlfile)
key = creds['consumer_key']
secret = creds['consumer_secret']
access_token = creds['access_token']
access_token_secret = creds['access_token_secret']
session_handle = creds['session_handle... | null | yahoo_gameid.py | yahoo_gameid.py | py | 615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "yaml.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yahoo_api.YahooAPI",
"line_number": 14,
"usage_type": "call"
}
] |
88675909 | """Vectorizer implementations.
"""
__author__ = 'Paul Landes'
import logging
from dataclasses import dataclass, field
from typing import Set, List, Iterable, Union
import pandas as pd
import numpy as np
from sklearn.preprocessing import LabelEncoder
import torch
from zensols.persist import persisted
from zensols.deep... | null | src/python/zensols/deeplearn/vectorize/vectorizers.py | vectorizers.py | py | 5,741 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "zensols.deeplearn.vectorize.EncodableFeatureVectorizer",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 33,
"usage_type": "name"
},
{
... |
4602335 | import matplotlib.pyplot as plt
import numpy as np
import dplm_base
# dplm_instance.set_slot([-6, 18, 0])
# moment_weight, moment_spring_list, moment_total = dplm_instance.calculate_current_moment()
# lower_limit, upper_limit, step_size, total_angle_num = dplm_instance.get_allowed_angle_range().values()
# 26 32 38
#1... | null | main.py | main.py | py | 4,234 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "stable_baselines3.common.cmd_util.make_vec_env",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sta... |
216253288 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import networkx as nx
import matplotlib.pyplot as plt
# graph: set of set
def draw_graph(graph):
nodes = reduce(lambda x,y: x|y, graph, set())
labels = {}
G = nx.Graph()
# add nodes
for node in nodes:
labels[node] = node
# add edges
... | null | display.py | display.py | py | 615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "networkx.Graph",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "networkx.shell_layout",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "networkx.draw_networkx_nodes",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "net... |
520815597 | #!/usr/bin/env python3
# vim: set fileencoding=utf-8:
# Standard library
import json
import os
# Third-party
import git
GIT_USER_NAME = "CC creativecommons.github.io Bot"
GIT_USER_EMAIL = "cc-creativecommons-github-io-bot@creativecommons.org"
GITHUB_USERNAME = "cc-creativecommons-github-io-bot"
GITHUB_ORGANIZATION ... | null | push_data_to_ccos/push_data_via_git.py | push_data_via_git.py | py | 2,323 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "git.Repo.clone_from",
... |
632120793 | import torch
from torch import Tensor
import torch.nn.functional as functional
from typing import Union, List, Dict, Tuple, NamedTuple
from termcolor import colored as clr
# Project imports
from .base_agent import BaseAgent
Constraint = NamedTuple("Constraint", [("task_idx", int),
... | null | agents/andrei_test.py | andrei_test.py | py | 4,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.NamedTuple",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_nu... |
138882198 | from __future__ import print_function
from __future__ import absolute_import
import copy
import os
import re
import sys
import types
import importlib
import pkgutil
import inspect
import warnings
from pprint import pprint
try:
from fabric.api import env
from fabric.tasks import WrappedCallableTask
from fa... | null | burlap/__init__.py | __init__.py | py | 12,850 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fabric.api.env._rc",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "fabric.api.env",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "yaml.add_representer",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "fabric.ap... |
509945187 | import asyncio
import json
import logging
import shutil
import time
from pathlib import Path
from typing import Dict, Optional
import zipfile
import os
import aiopg
import attr
from aiodocker import Docker
from aiodocker.containers import DockerContainer
from aiodocker.exceptions import DockerContainerError, DockerErr... | null | services/sidecar/src/simcore_service_sidecar/executor.py | executor.py | py | 20,275 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.... |
216851982 | from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.shortcuts import render
from .forms import PostCityForm
from .models import Municipio, Mapeamento
REGIONS = {
'norte': ['AC', 'AP', 'AM', 'PA', 'RO', 'RR', 'TO'],
'nordeste': ['AL', 'BA', 'CE', 'MA', 'PB', 'PE', 'PI', 'RN', ... | null | formulario/views.py | views.py | py | 2,529 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "forms.PostCityForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fo... |
150321604 | """
匹配系统程序总入口。
- 离线任务，每晚定时执行
- 在线任务，为业务员提供服务。
TODO: 将 tw 和 jy 的进程合并起来
"""
# pylint: disable=undefined-variable
import os
import shutil
import time
import argparse
import numpy as np
from utils import data_flow
from utils import log
from utils import radar_chart
from utils import match
from utils import system
fro... | null | run.py | run.py | py | 3,463 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"l... |
553885187 | import time
import platform
import sys
from PyQt4.QtGui import *
from PyQt4.QtCore import *
import qrc_resources
from functools import partial
from serial_prompt_dialog import *
from dut_details_dialog import *
from dut_details_tree import *
from dut_tree_widget import TreeTableWidget
__version__ = "1.0.0"
class Mai... | null | classes/gui/main_gui.py | main_gui.py | py | 8,409 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dut_tree_widget.TreeTableWidget",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 219,
"usage_type": "call"
}
] |
587647012 | import sys
import json
def load_data(filepath):
with open(filepath, 'r', encoding='utf-8') as file_descriptor:
file_contents = file_descriptor.read()
file_descriptor.close()
return file_contents
def pretty_print_json(json_contents):
print(json.dumps(json.loads(json_contents), sort_keys=True,... | null | pprint_json.py | pprint_json.py | py | 668 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 20,... |
617778566 | from matplotlib import pyplot as plt
import numpy as np
import h5py
import os
HalfLen = 5 # LSTM中输入的序列长度一半
train_path = ['Training.mat']
# train_path.append('J:/头颈血管重建VNET/CTA血管自动分割VNET/原始数据/5/分割V/DataNormalized.mat')
# train_path.append('J:/头颈血管重建VNET/CTA血管自动分割VNET/原始数据/6/分割V/DataNormalized.mat')
# train_path.appen... | null | examples/data_for_UNET.py | data_for_UNET.py | py | 2,302 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "h5py.File",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_n... |
402613449 | import sys
import datetime as dt
import json
from hyper.data_service.common import clean_url, govc, parse_tab_list_view, print_json
def get_vcenter_from_config(config_json):
vcenter_url = "https://{}".format(config_json['vcenter']['host'])
vcenter = HypervisorVcenter(
vcenter_url,
config_json[... | null | backend/hyper/data_service/hypervisor_vcenter.py | hypervisor_vcenter.py | py | 13,628 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "hyper.data_service.common.clean_url",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "hyper.data_service.common.govc",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "hyper.data_service.common.parse_tab_list_view",
"line_number": 70,
"us... |
566067767 | import numpy as np
import matplotlib.pyplot as plt
class Word2vec_Scratch(object):
def __init__(self, word_list, proj_dim, window):
self.stop = ['is', 'a', 'in', 'to', 'will', 'be', 'and', 'an', 'the', 'next', 'which', 'also', 'are']
self.word_list = [[word.lower() for word in sentenc... | null | NLP/Word2Vec/Word2Vec_From Scratch.py | Word2Vec_From Scratch.py | py | 7,646 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.rand",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line... |
231908530 | from math import *
from PhysicsTools.Heppy.analyzers.core.Analyzer import Analyzer
from PhysicsTools.HeppyCore.utils.deltar import deltaR, deltaPhi
from PhysicsTools.HeppyCore.framework.event import *
from CMGTools.HToZZ4L.tools.DiObject import DiObject
from CMGTools.HToZZ4L.tools.DiObjectPair import DiObjectPair
from... | null | CMGTools/HToZZ4L/python/analyzers/FourLeptonAnalyzerBase.py | FourLeptonAnalyzerBase.py | py | 10,993 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.Iterable",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "PhysicsTools.Heppy.analyzers.core.Analyzer.Analyzer",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "ROOT.MEMCalculatorsWrapper",
"line_number": 47,
"usage_type... |
601368558 | #! /usr/bin/python
# -*- coding:utf-8 -*-
import os
import sys
import cv2
import numpy
from pyExcelerator import *
import xlwt
import xlrd
import time
from xlrd import open_workbook
from xlwt import easyxf
def CheckIdenticalImages(img1, img2):
image1=cv2.imread(img1)
image2=cv2.imread(i... | null | Python/compare2image.py | compare2image.py | py | 10,718 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
440892317 | from __future__ import annotations
from functools import cache
from starlette.datastructures import FormData
from typing import Any, get_type_hints, Type, TypeVar
FieldType = TypeVar("FieldType", bound=type)
T = TypeVar("T")
class FieldCollection:
@cache
def __get__(self, _: None, owner: Type[Form]) -> dict... | null | wordlette/forms.py | forms.py | py | 3,063 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.Type",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "functools.cache",
"line_n... |
467904915 | # -*- coding: utf-8 -*-
import os
from typing import List, Union
def get_file_suffix(filename: str) -> Union[str, None]:
"""
不支持在文件名中包含.
:param filename:
:return:
"""
file_split = filename.rsplit(".", 2)
name_length = len(file_split)
if name_length < 2:
return
elif name_le... | null | recursive_filepath.py | recursive_filepath.py | py | 1,448 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Union",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.isdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number"... |
475085946 | def elbowMethod(data, kmin, kmax):
"""
Devuelve una grafica con la inertia por k
para implementar el elbow mehtod de seleccion de k
"""
# Inicializamos el vector que recogerá el SSE o inertia
inertias = []
ks = range(kmin, kmax)
# Interamos sobre los posibles k
for k in ks:
... | null | Modelling/Clustering/KMeans_helpers.py | KMeans_helpers.py | py | 2,797 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.metrics.silhouette_score",
"line_number": 50,
"usage_type": "call"
}
] |
48393948 | #!/usr/bin/python3
""" Fabric scrit that creates and distributes an archive you the
web server using the function"""
from datetime import datetime
from os import path
from fabric.api import local, put, run, env
env.hosts = ['34.139.140.249', '100.26.46.66']
def do_pack():
"""Extract the content of an archive"""
... | null | 3-deploy_web_static.py | 3-deploy_web_static.py | py | 1,770 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fabric.api.env.hosts",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "fabric.api.env",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime... |
20525807 | #!/usr/bin/python2.7
# Copyright 2015 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | null | app/full_text_search.py | full_text_search.py | py | 5,585 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.escape",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 75,
"u... |
11779517 | import cv2
import numpy as np
kamera = cv2.VideoCapture(0)
while True:
ret, frame = kamera.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
low_blue = np.array([100, 60, 60])
high_blue = np.array([140, 255, 255])
mask = cv2.inRange(hsv, low_blue, high_blue)
last_pic = cv2.bitwise_and(fra... | null | filter_operations/blurring.py | blurring.py | py | 904 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"... |
527948008 | import numpy as np
import matplotlib.pyplot as plt
import moose
import collections
EREST_ACT = -70e-3 #: Resting membrane potential
AbParams = collections.namedtuple("AbParams",[
"aRate", # 'A_A'
"aB", # 'A_B'
"aC", # 'A_C'
"aVHalf", # 'A_D'
"aVSlope", # 'A_F'
"bRate", ... | null | class10.py | class10.py | py | 12,940 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "... |
575490170 | from itertools import combinations
def nonDivisibleSubset_(k, arr):
nonDivisibles = []
for i in range(2, len(arr) + 1):
combination = combinations(arr, i)
for comb in combination:
sub_combs = combinations(list(comb), 2)
for sub_comb in sub_combs:
sub_comb... | null | non-divisible subset.py | non-divisible subset.py | py | 1,634 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "itertools.combinations",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 21,
"usage_type": "call"
}
] |
308362056 | import pygame
from pygame.draw import *
pygame.init()
width = 500 #Ширина граф. окна
height = 300 #Высота граф. окна
FPS = 30
screen = pygame.display.set_mode((width, height))
black = (0, 0, 0)
white = (225, 225, 225)
def draw_sky_and_ground(width, height, dot):
'''
Функция рисует небо и землю на экране.
... | null | lab4/.idea/1.py | 1.py | py | 5,760 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface... |
374688067 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 18 20:12:25 2018
@author: Malachis
"""
# template.py
# A template for iterating through the sequence of dialogs in an flist
# and accessing the data from both the log.json and label.json files
# Demonstration Code dumps information about the dialog acts of both
# the ... | null | spkdata.py | spkdata.py | py | 3,604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
602702472 | # -*- coding: utf-8 -*-
import yaml
import jinja2
import glob
import re
import mistune
def transpose_headlines(markdown, level):
prefix = ''
for i in range(level):
prefix += '#'
markdown = re.sub(r'^#', '#' + prefix, markdown)
markdown = re.sub(r'\n#', '\n#' + prefix, markdown)
return mark... | null | generate.py | generate.py | py | 3,300 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.finditer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 32,
"usa... |
477500049 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from planeta import Planeta
import numpy as np
import matplotlib.pyplot as plt
condicion_inicial = [10., 0., 0., 0.3]
p = Planeta(condicion_inicial)
n_pasos=4000
dt=0.1
X=np.zeros(n_pasos)
Y=np.zeros(n_pasos)
VX=np.zeros(n_pasos)
VY=np.zeros(n_pasos)
ET=np.zeros(n_pas... | null | solucion_usando_RK4.py | solucion_usando_RK4.py | py | 986 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "planeta.Planeta",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
108271935 | from django.shortcuts import render
from django.contrib.auth.models import User
from .models import Category, Problem
from django.utils import timezone
import os, subprocess
def home(request):
problems = None
categories = Category.get_all_objects()
category_ID = request.GET.get('category')
print(catego... | null | problemset/views.py | views.py | py | 2,016 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Category.get_all_objects",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Category",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.Problem.get_all_objects_by_categoryid",
"line_number": 13,
"usage_type": "call"
},... |
366536500 | '''
Example of `drop_last` using in static graph multi-cards mode
'''
import paddle
import paddle.static as static
import numpy as np
import os
# We use 2 CPU cores to run inference network
os.environ['CPU_NUM'] = '2'
paddle.enable_static()
# The data source has only 3 batches, which can not be
# divided evenly to e... | null | dataloader/doc/sample3.py | sample3.py | py | 1,334 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "paddle.enable_static",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "paddle.static.data",... |
165454967 | from ..auth import Auth
consumers = {
"pagination": False,
"sorting": True,
"authentication": Auth,
"allowed_read_roles": ["admin","root"], # GET, OPTIONS
"allowed_write_roles": ["admin","root"], # POST, PUT, DELETE
"allowed_item_read_roles": ["admin","root", "consumer"], # GET, OPTIONS
... | null | domains/consumers.py | consumers.py | py | 1,247 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "auth.Auth",
"line_number": 7,
"usage_type": "name"
}
] |
443318755 | import json
import re
with open('/Users/AUM/Desktop/MerchantInsight/MAPS_bot/MAPS_bot/facebook_api/facebook_all.json') as json_data:
facebook_data = json.load(json_data)
with open('/Users/AUM/Desktop/MerchantInsight/MAPS_bot/MAPS_bot/facebook_api/facebook_all_v2.json') as json_data:
facebook_data_2 = json.loa... | null | MAPS_bot/MAPS_bot/facebook_api/wrap_up.py | wrap_up.py | py | 8,386 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 203,
"usage_type": "call"
},
{
"api_name": "re.M",
"line_number": 203,
"usag... |
565865641 | from flask import Flask
app = Flask(__name__)
page = '''
<!doctype html>
<head>
<title>Hello Flask</title>
<body>
<h1>Hello Flask</h1>
<img src='static/flask.jpg' width="20%" height="20%">
</body>
</html>
'''
@app.route('/')
@app.route('/get')
def main():
return 'Hello World'
@app.route('/index')
def... | null | 1-hello-world.py | 1-hello-world.py | py | 409 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
}
] |
605983601 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0004_auto_20160715_1458'),
('startups', '0020_startup_company_website'),
('events', '0012_event_hosted_by_mentor'),
... | null | portal/events/migrations/0013_auto_20160802_1457.py | 0013_auto_20160802_1457.py | py | 1,032 | 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": 16,
"usage_type": "call"
},
... |
388510568 | from amplpy import AMPL
import sys
sys.path.append('../../utils/')
from getpara import *
ampl = AMPL()
ampl.read('mod.mod')
#ampl.readData('dat.dat')
ampl.setOption('solver','cplex')
# Set starting values (from heuristic)
ind = ampl.getParameter('ind')
ind.setValues([1])
ampl.getParameter('row1').setValues({1:1})
... | null | test_dirs/dantzig/main.py | main.py | py | 1,033 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "amplpy.AMPL",
"line_number": 8,
"usage_type": "call"
}
] |
494786169 | from django.shortcuts import render
from django.http import JsonResponse, HttpResponse
from django.views.decorators.csrf import csrf_exempt
import importlib
# name of model classes from demo/model/
AVAILABLE_MODELS = ["bart_base", "bart_base_entailment", "bart_base_vocab_constraint"]
AVAILABLE_MODEL_CLASSES = []
for... | null | demo/demo/view.py | view.py | py | 1,610 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "importlib.import_module",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 45,
"usage_type": "call"
},
{
"api_name... |
433124934 | import logging
import os
import pytest
from piqe_ocp_lib.api.tasks.populate_cluster.populate_cluster import PopulateOcpCluster
from piqe_ocp_lib import __loggername__
logger = logging.getLogger(__loggername__)
@pytest.fixture(scope='session')
def populate_ocp_cluster(ocp_smoke_args):
"""
A fixture that provi... | null | piqe_ocp_lib/tests/tasks/test_populate_ocp.py | test_populate_ocp.py | py | 2,490 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "piqe_ocp_lib.__loggername__",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.en... |
186237925 | import requests
from wsgiref.simple_server import make_server
from pyramid.config import Configurator
from pyramid.response import Response
from api import Api
def search(request):
cep = request.matchdict['cep']
res = requests.get('https://viacep.com.br/ws/' + cep + '/json/')
return Response(str(res.text)... | null | main.py | main.py | py | 597 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyramid.response.Response",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyramid.config.Configurator",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ap... |
145428205 | from __future__ import annotations
from enum import IntEnum, auto
import math
import random
from tkinter.filedialog import Directory
from typing import List, Optional, Sequence, Tuple, Union
import pygame
import pygame.draw
import KDS.Animator
import KDS.Audio
import KDS.Colors
import KDS.Convert
import KDS.Logging
... | null | KDS/AI.py | AI.py | py | 42,526 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.mixer.init",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.key.stop_text_... |
422633919 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from lib import Utils
from stk import ModelResult,ReportResult
class Ranker:
def run(conf):
testingResults = ModelResult( conf = conf)
projects = Utils.getProjects( path = "./projects")
reportResults = ReportResult( conf = conf )
for testingData in test... | null | app/ranker/rank.py | rank.py | py | 505 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "stk.ModelResult",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "lib.Utils.getProjects",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lib.Utils",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "stk.ReportResult",
... |
503092688 | from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
import joblib
def conf_matrix_accuracy(np_matrix):
'''
method: sum up the diagonal data, then divide by the sum of total
output: the accuracy of the confusion matrix
'''
row_n, col_n = np_matrix.shape
diag_... | null | wendy_prac/test_log.py | test_log.py | py | 728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 26,
"usage_type": "call"
}
] |
231047990 | from django.shortcuts import render, redirect
from django.contrib import messages
from .models import Sensor, Data, TestConfig, Maturity_Data, Strength_Data
from projects.models import Project
from .forms import MaturityForm
import plotly.graph_objs as go
import plotly.offline as ply
import urllib.request
import js... | null | sensors/views copy 2.py | views copy 2.py | py | 14,252 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Sensor.objects.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.Sensor.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "models.Sensor",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "dj... |
551676677 | #!/usr/bin/env python
import math
from collections import namedtuple
from pprint import pprint
import random
from collections import Counter
random.seed(98112011)
def read_and_write():
# Reads the data from a text file and store it in a list 'list_of_sentences' in the form of list of lists
f = open('berp-POS... | null | Assignment 2 POS Tagging/jain-payoj-assgn2.py | jain-payoj-assgn2.py | py | 20,422 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
... |
437268098 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
import rospy
from std_msgs.msg import String
import urllib
import json
param_is_remote_control = '/voice/param/is_remote_control'
topic_text_to_voice = '/voice/text_to_voice'
topic_android_remote_control = '/voice/android_remote_control'
topic_text_to_text = '/voice/text... | null | scripts/TextToText.py | TextToText.py | py | 1,934 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rospy.init_node",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rospy.Publisher",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "std_msgs.msg.String",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "rospy.Publish... |
492626105 | '''
Author: Lucas Yudi Sugi - 9293251
Reference: http://www.computacaointeligente.com.br/algoritmos/mapas-auto-organizaveis-som/
'''
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import RegularPolygon
import matplotlib.lines as mlines
class KOHONEN():
def __init__(self,data,grid,alph... | null | kohonen/kohonen.py | kohonen.py | py | 4,239 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.log",
"l... |
495108434 | from keras.models import Sequential
from keras.layers.core import Flatten, Dense, Dropout
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.optimizers import Adam
from keras.layers.normalization import BatchNormalization
from keras.preprocessing import image
from keras.utils.np_utils import ... | null | statefarm.py | statefarm.py | py | 4,308 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.utils.np_utils.to_categorical",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image",
"line_number": 12,
"usage_ty... |
524737641 | import random
import arcade
import os
SPRITE_SCALING = 0.5
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
SCREEN_TITLE = "Move Sprite with Keyboard Example"
MOVEMENT_SPEED = 5
COIN_COUNT = 50
class Player(arcade.Sprite):
def update(self):
self.center_x += self.change_x
self.center_y += self.change_y
... | null | lab08-sprites/lab08-sprites.py | lab08-sprites.py | py | 3,620 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "arcade.Sprite",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "arcade.Window",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "arcade.set_background_color",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "arc... |
257406274 | import zmq
from zmq.eventloop.zmqstream import ZMQStream
from zmq.eventloop import ioloop
ioloop.install()
from tornado.websocket import WebSocketHandler
from tornado.web import Application, RequestHandler, StaticFileHandler
from tornado.ioloop import IOLoop
class ZMQPair:
def __init__(self,callback):
sel... | null | dist/app.py | app.py | py | 1,310 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zmq.eventloop.ioloop.install",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "zmq.eventloop.ioloop",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "zmq.Context",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "zmq.PAIR"... |
248960848 | from django.shortcuts import render,redirect
from .models import *
from .forms import TaskForm
# Create your views here.
def index(request):
tasks=Task.objects.all()
form=TaskForm()
if request.method=='POST':
form=TaskForm(request.POST)
if form.is_valid():
form.save()
re... | null | todo/views.py | views.py | py | 972 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "forms.TaskForm",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "forms.TaskForm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcu... |
583623380 | #Memanggil library Flask
from flask import Flask , request
from flask import render_template
from config import Config
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_seeder import FlaskSeeder
from flask_jwt_extended import JWTManager #Inisialisasi JWT
#email
from flask_mail impor... | null | app/__init__.py | __init__.py | py | 2,456 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "flask_migra... |
631848273 | from Catbnbs.database import owner_emile
from pymongo import MongoClient
import time
def main():
client = MongoClient(
"mongodb+srv://dominiquems:Domi-2492@cluster0.xxqtl.azure.mongodb.net/catbnb?retryWrites=true&w=majority")
db = client.get_database('catbnb')
indicator = True
while indicator:... | null | database/main_emile.py | main_emile.py | py | 921 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Catbnbs.database.owner_emile.main_owner",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Catbnbs.database.owner_emile",
"line_number": 21,
"usage_type": "name"
},
... |
639247423 | #!/usr/bin/python3
import asyncio
from multiprocessing import Pool
from licel_controller import settings, tr_commands
class Controller():
def __init__(self, *args, **kwargs):
self.commands_to_execute = []
def run(self):
with Pool(1) as pool:
try:
results = pool.ma... | null | licel_controller/interface.py | interface.py | py | 1,937 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "multiprocessing.Pool",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "licel_controller.tr_commands.SELECT",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "licel_controller.tr_commands",
"line_number": 35,
"usage_type": "name"
},... |
462284853 | # Уточнение корней уравнения методом Риддера
# Задается большой интервал, проходить его с шагом h находим отрезок,
# где есть корень и уточняем его заданным методом с заданной точностью,
# шаг будет задаваться так, что на отрезке [Xn, Xn+1] будет только один корень,
# точность полученных корней должна быть от 6 до 9 зн... | null | 2 sem/lab4.py | lab4.py | py | 7,559 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linspace",
"line_number": 163,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 165,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 165,
"usage_type": "name"
},
{
"api_name": "matplot... |
173222941 | import onnxruntime as ort
from utils import predict, BBox
import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
print("Using device {}".format(device))
face_detector = ort.InferenceSession('models/version-RFB-320.onnx')
face_detector_input = face_detector.get_inputs()[0].name
model_path... | null | quickstart/6-bmi-onnx-pytorch/init_script.py | init_script.py | py | 448 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "onnxruntime.Inferen... |
279366782 | from scipy.stats import rankdata
from itertools import chain
import scipy.sparse as sps
import numpy as np
import math
import pandas as pd
from we7dm.util import array_ops
class DenseMatrixInSparseCoo(sps.coo_matrix):
"""
Child class of sps.coo_matrix whose data is a dense matrix whose rows and cols have sp... | null | recsys/toolbox/sparse_trix.py | sparse_trix.py | py | 22,536 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.sparse.coo_matrix",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "scipy.sparse",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "scipy.sparse.coo_matrix.__init__",
"line_number": 23,
"usage_type": "call"
},
{
"api_na... |
249554265 | # -*- coding: utf-8 -*-
"""
A program to read the console messages from Chrome, using the Selenium
test driver.
"""
import argparse
import collections
from collections import namedtuple
import json
import os
import re
import sys
import time
from selenium import webdriver
from selenium.webdriver.chrome.options import... | null | get_msgs.py | get_msgs.py | py | 7,221 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.search",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "selenium.web... |
209933478 | # Rhino
from compas_fab.robots import Configuration
from compas_rhino.artists import RobotModelArtist, CapsuleArtist, SphereArtist, CylinderArtist, FrameArtist
from compas.datastructures import Mesh
from compas.geometry import Circle, Line
from compas.geometry import Cylinder, Capsule, Sphere
from compas.geometry impo... | null | lecture_03/assignment_02/asling/Assignment_02_clean_edit.py | Assignment_02_clean_edit.py | py | 5,286 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "compas.geometry.Cylinder",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "compas.geometry.Circle",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "compas.geometry.Plane",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
80136645 | from django.conf.urls import patterns, include, url
from django.conf import settings
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
url(r'^$', 'Eleven.views.home', name='home'),
url(r'^about$', 'Eleven.views.about', name='about'),
url(r'^blog/', include('b... | null | Eleven/urls.py | urls.py | py | 457 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 7,
"usage_type": "call"
},
{
"api... |
636111490 | import json
import time
v = {}
v['referenceWidth'] = 8
v['outputDim'] = 1170
v['circleMinDist'] = 15
v['circleEdgeStrength'] = 224
v['circleCircularity'] = 18
v['circleMinRadius'] = 5
v['circleMaxRadius'] = 30
v['radius'] = 18
v['radiusOfTheUniverse'] = 30.3
v['markerThreshold'] = 45
v['sampleP... | null | tracker/dict_generator.py | dict_generator.py | py | 805 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 40,
"usage_type": "call"
}
] |
34098763 | import pandas as pd
import logging
import argparse
import os
from keras.callbacks import LearningRateScheduler, ModelCheckpoint
from keras.optimizers import SGD, Adam
from keras.utils import np_utils
from sys import path
path.insert(0, os.path.join('/home/giancarlo/Documents/HeadPose-test/', 'FSA-Net', 'demo'))
from FS... | null | code/test-FSA-Net(FSA_code).py | test-FSA-Net(FSA_code).py | py | 3,293 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
... |
315773115 | import numpy as np
import os
import cv2
import pandas as pd
def main():
"""
Applies Hough-transform for circles to all images and saves:
- Images highlighting hits
- Images trying to highlight false positives
- csv-files with coordinates of all hits
- csv-file summarizing the total amount ... | null | hough_circle.py | hough_circle.py | py | 2,802 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 24,
... |
32497873 | import numpy as np
import csv
import matplotlib.pyplot as plt
def getCoopOverTFromFiles(game, nb_states):
"""
Read series of files to get the cooperation ratio in the right files depending on the game and the number of
internal states considered
:param game: dilemma considered
:param nb_states: num... | null | StateAnalytical/plotCoopForT.py | plotCoopForT.py | py | 2,312 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
508733264 | # Create your views here.
from django.http import HttpResponse , HttpResponseRedirect
from django.shortcuts import render_to_response, get_object_or_404
from django.template import RequestContext
from django.core.urlresolvers import reverse
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from .... | null | blog/views.py | views.py | py | 3,291 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Post.published_objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Post.published_objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 18,
"usage_type": "name"
},
{
"... |
213447956 | import requests
import urllib.parse as parse
import json
import os
headers={
"X-Naver-Client-Id" : "20zXc9hd72PdUrs4rInK",
"X-Naver-Client-Secret" : "6EujMSZenc"
}
url = "https://openapi.naver.com/v1/search/image"
params = {
"query" : "테슬라",
"display" : 100,
"start" : 1
}
res = requests.get(url,... | null | study/login/naver_image_search.py | naver_image_search.py | py | 665 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"lin... |
40679023 | from synthesizer.inference import Synthesizer
from encoder import inference as encoder
from vocoder import inference as vocoder
from pathlib import Path
import numpy as np
import librosa
import argparse
import torch
import os
import subprocess
if __name__ == '__main__':
## Info & args
parser = argparse.Argume... | null | run.py | run.py | py | 3,708 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"... |
602572871 | from metadata import *
import argparse
import pickle
import time
from threading import Thread, current_thread
import os, os.path
from joblib import Parallel, delayed
from mind_model import *
import pandas as pd
from itertools import product
import os.path as op
from mind_model import *
import random
from utils import *... | null | src/mind_search_per5frame.py | mind_search_per5frame.py | py | 10,699 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 42... |
87854975 | # -*- coding: utf-8 -*-
import json
import logging
import traceback
from odoo.exceptions import ValidationError
from odoo import fields, models, api
from odoo.addons.web_approval.controllers.main import Approval
_logger = logging.getLogger(__name__)
class ApprovalWizard(models.TransientModel):
_name = 'approval... | null | my_addons/web_approval/wizard/approval_wizard.py | approval_wizard.py | py | 16,719 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "odoo.models.TransientModel",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "odoo.fi... |
622835443 | """Split TZA to multiple files
"""
import os
import fiona
def main():
base_path = os.path.join(
os.path.dirname(__file__),
'..', '..', '..', 'data', 'Infrastructure'
)
tza_path = os.path.join(
base_path,
'Roads', 'osm_mainroads', 'TZA.shp'
)
with fiona.open(tza_path... | null | scripts/1_preprocess/network/split_tza_osm.py | split_tza_osm.py | py | 999 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8... |
320957344 | import csv
import math
import random
import sys
import numpy as np
import pandas as pd
from numpy.linalg import inv
#from PIL import Image
# Variable setting
import keras
from keras.models import *
from keras.utils import np_utils
from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormaliz... | null | hw3/Confusion_matrix_drawing model.py | Confusion_matrix_drawing model.py | py | 4,542 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.load",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_n... |
184000106 | """
The serial module provides classes for turning log data into datapoints.
"""
from dataclasses import asdict
from config import NEVER
from wrangling.domain import *
class DictionaryViewWithEncapsulation:
"""
Subclasses inherit a to_dict() method which does not serialize
private or protected methods.
... | null | wrangling/Datapoint.py | Datapoint.py | py | 13,204 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dataclasses.asdict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.NEVER",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "config.NEVER",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "config.NEVER",
"line... |
574944928 | # -*- coding: UTF-8 -*-
__author__ = 'quentingerome'
from flask import request
from . import route
from ..models import Program
@route('/program', methods=['GET'])
def get_program():
return Program.query.default()
@route('/program', methods=['PUT'])
def put_program():
periods = request.json.get('periods')... | null | backend/thermostat/api/program.py | program.py | py | 608 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Program.query.default",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Program.query",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Program",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": ... |
311168017 | import requests
from html.parser import HTMLParser
import PIL as pil
import PIL.Image as Image
from config import *
import sys
import time
import os
_SAVE_PATH = os.path.join(os.getenv('HOME'), 'Images')
class CostcoParser(HTMLParser):
def __init__(self):
super().__init__()
self.found = False
... | null | CostcoOld/scrapeimg.py | scrapeimg.py | py | 2,487 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "html.parser.HTMLParser",
"lin... |
643613517 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import datetime
import time
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(__dir__)
sys.path.append(os.path.abspath(os.path.join(__dir__, '..', '..', '..')))
sys.path... | null | tools/slim/prune.py | prune.py | py | 11,918 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
147077712 | import tensorflow as tf
from tensorflow.keras import models, layers
import json
import numpy as np
import os
import pyaudio
from speechpy.feature import mfcc
from datetime import datetime
import wave
import random
NWW_PATH = "C:\\Users\\cej17\\Documents\\Coding_Projects\\rand\\Not Wake Word\\"
JSON_PATH = "C:\\User... | null | Model/Wake Word/model_final_script.py | model_final_script.py | py | 8,714 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 45,
"usage_type": "name"
},
{
"a... |
86899458 | import json
import os
import tensorflow as tf
# 获取训练与测试数据
(images_train, labels_train), (images_test, labels_test) = tf.keras.datasets.mnist.load_data()
images_train, images_test = images_train / 255.0, images_test / 255.0
def build_and_compile_cnn_model():
model = tf.keras.Sequential([
tf.keras.layers.... | null | l09_distribution/distribution_worker2_mnist.py | distribution_worker2_mnist.py | py | 1,164 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.keras.datasets.mnist.load_data",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 12,
"usage_type": "call"
},
... |
324686562 | from rest_framework import serializers
from rest_framework_jwt.settings import api_settings
from exam import models
from rest_framework.exceptions import AuthenticationFailed
from django.core.cache import cache
from django.conf import settings
from project_api.libs.alipay import alipay, gateway
from uuid import ... | null | study_docker_compose/project_api/project_api/utils/exam/ExamSerializer.py | ExamSerializer.py | py | 8,643 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "exam.models.Task",
"line_number": 14,
"usage_type": "attribute... |
290542004 | import json
import requests
ticker_url = "https://api.coinmarketcap.com/v2/ticker/?structure=array"
limit = 100
start = 1
sort = 'id'
convert = "USD"
choice = input("Do you want to enter any custom parameters? (y/n): ")
if choice == 'y':
limit = input('What is the custom limit?: ')
start = input('What is th... | null | Coinmaker/cointicker_1.py | cointicker_1.py | py | 675 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 24,
"usage_type": "call"
}
] |
430358135 | from django import forms
from .models import MappedField
class MapFieldsForm(forms.Form):
def __init__(self, program, all_fields, missing_fields, *args, **kwargs):
super(MapFieldsForm, self).__init__(*args, **kwargs)
choices = [('', '(leave it blank)')]
choices.extend(zip(all_fields, all... | null | field_mapper/forms.py | forms.py | py | 907 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.Form",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.ChoiceField",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.for... |
505430091 | # Copyright 2014 MongoDB, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | null | giza/giza/content/toc.py | toc.py | py | 10,678 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "rstcloth.table.TableData",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "rstcloth.rstcloth.RstCloth",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": ... |
576213400 | # -*- coding: utf-8 -*-
""" AAA """
import logging
from datetime import datetime
from pyramid.view import view_config
from arttest.logic.calendars import CalendarService
from arttest.logic.returnhelper import response
LOG = logging.getLogger(__name__)
class CalendarMy(object):
"""docstring for CalendarMy"""
d... | null | arttest/views/calendarmy.py | calendarmy.py | py | 2,695 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "arttest.logic.calendars.CalendarService",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"ap... |
536544944 | from contextlib import contextmanager
import logging.config
import numpy as np
import torch
import torch.distributed as dist
def barrier():
"""
Works as a temporary distributed barrier, currently pytorch
doesn't implement barrier for NCCL backend.
Calls all_reduce on dummy tensor and synchronizes wit... | null | PyTorch/Translation/GNMT/seq2seq/utils.py | utils.py | py | 4,049 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.distributed.is_initialized",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.distributed",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.distributed.all_reduce",
"line_number": 16,
"usage_type": "call"
},
{
... |
86562577 | import httplib2
from oauth2client.client import OAuth2WebServerFlow
from oauth2client.file import Storage
from oauth2client import tools
from googleapiclient.discovery import build
class ServiceProvider:
def __init__(self, client_id, client_secret):
self.scope = 'https://www.googleapis.com/auth/drive'
... | null | integration/gdrive/serviceProvider.py | serviceProvider.py | py | 890 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "oauth2client.client.OAuth2WebServerFlow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "oauth2client.file.Storage",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "oauth2client.tools.run_flow",
"line_number": 20,
"usage_type": "call"
... |
362353578 | import aiohttp
import asyncio
import uvicorn
from fastai import *
from fastai.vision import *
from io import BytesIO
from starlette.applications import Starlette
from starlette.middleware.cors import CORSMiddleware
from starlette.responses import HTMLResponse, JSONResponse, FileResponse, StreamingResponse
from starlett... | null | app/server.py | server.py | py | 16,265 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "starlette.applications.Starlette",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "starlette.middleware.cors.CORSMiddleware",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "starlette.staticfiles.StaticFiles",
"line_number": 22,
"usa... |
200513097 | import numpy as np
import cv2
import time
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_AUTO_EXPOSURE, 0.25)
cap.set(cv2.CAP_PROP_EXPOSURE, 0.01)
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'XVID')
output_file = './' + str(time.time()).split('.')[0] + '.avi'
print(output_file)
... | null | vision/record_footage.py | record_footage.py | py | 762 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_AUTO_EXPOSURE",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_EXPOSURE",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name... |
173538944 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
df_train['SalePrice'].describe()
sns.distplot(df_train['SalePrice'])
var = 'GrLivArea'
data = pd.concat([df_train['SalePrice'], df_train[var]], axis=1)
data.plot.scatter(x=var, y='SalePrice', ylim=(0,800000), s=32);
var = 'TotalBsmtSF'
data = pd... | null | Data_exploration.py | Data_exploration.py | py | 1,059 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.concat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",... |
564982396 | from test.base import TestCase, main
import click
from click.testing import CliRunner
from ocrd.decorators import ocrd_cli_options
from ocrd.logging import setOverrideLogLevel, initLogging
@click.command()
@ocrd_cli_options
def cli(*args, **kwargs): # pylint: disable=unused-argument
pass
class TestCli(TestCase):
... | null | test/test_cli.py | test_cli.py | py | 1,235 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "click.command",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ocrd.decorators.ocrd_cli_options",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "test.base.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ocrd.... |
338848580 | from ai_safety_gridworlds.environments.shared import safety_game
from collections import defaultdict
import experiments.environment_helper as environment_helper
import numpy as np
class ModelFreeAUPAgent:
name = "Model-free AUP"
pen_epsilon, AUP_epsilon = .2, .9 # chance of choosing greedy action in training... | null | agents/model_free_aup.py | model_free_aup.py | py | 5,954 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "experiments.environment_helper.derive_possible_rewards",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "experiments.environment_helper",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 37,
"usage... |
422986818 | import re
from nltk.corpus import stopwords
from nltk.util import ngrams
import os.path
# Begins the two main objectives of this program
def word_processing(tokens, arxiv_name, i, n):
if (len(tokens) != 0):
path = '/home/gdbartlettclab/cxg078/Documents/corpora_build/results/node%s/%s/'%(n, arxiv_name)
... | null | python_scripts/parse_scripts/original_tex_word_processing.py | original_tex_word_processing.py | py | 3,898 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.I",
... |
297366079 | import sys
import os
import re
from datetime import datetime, timedelta
from pytz import timezone
# This is so that below import works. Sets the pwd to home directory
sys.path.append(os.path.realpath("."))
import fawkes.utils.utils as utils
import fawkes.constants.constants as constants
url_regex = re.compile(const... | null | fawkes/review/review.py | review.py | py | 5,415 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
2309177 | """
Collection of functions to apply consistent options on CSV reads
"""
import glob
import os
import re
from pyspark.sql.functions import col, lit
from pyspark.sql.types import StringType
from .misc import compare_schema_to_header, import_pyspark_json
from .fs import local_format_mount_path, dbutils_format_mount_pat... | null | databricks_util/csv_read.py | csv_read.py | py | 6,309 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pyspark.sql.types.StringType",
"line_number": 43,
"usage_type": "call"
},
{
"api_name"... |
188711623 | import os, sys
import csv
import agate
import agatesql
seperator = '\n' + '========================================' + '\n'
yes = set(['yes','ye','y',''])
no = set(['no','n'])
openfile = 'customerOrderHistory.csv'
customerFile = 'customers_real.csv'
orderHistoryFile = 'orderHistory_real.csv'
# column headers
ship... | null | customerOrderHistory.py | customerOrderHistory.py | py | 2,886 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.exit",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 60,
"usa... |
207586718 | import os
from pathlib import Path
from dvc.command.common.base import CmdBase
from dvc.logger import Logger
from dvc.config import Config
from dvc.exceptions import DvcException
from dvc.path.data_item import DataItem
class InitError(DvcException):
def __init__(self, msg):
DvcException.__init__(self, 'I... | null | dvc/command/init.py | init.py | py | 3,151 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dvc.exceptions.DvcException",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dvc.exceptions.DvcException.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dvc.exceptions.DvcException",
"line_number": 13,
"usage_type": "name"
... |
399588454 | # # ⚠ Warning
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT
# LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
# NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIA... | null | mango/oracles/serum/serum.py | serum.py | py | 4,506 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "oracle.Oracle",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "spotmarket.SpotMarket",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "spotmarket.SpotMarket",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "oracle.Orac... |
112707470 | #sparkcontext is fundamemtal starting point to create RDDs.
#SparkConf needed to configure and create Sparkcontext object.
from pyspark import SparkConf, SparkContext
import collections
#We set the master to local system and good practice to give a name to the job, to lookup on Spark Web UI
conf = SparkConf().se... | null | Spark RDD/ratings-counter.py | ratings-counter.py | py | 1,287 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 25,
"usage_type": "call"
}
] |
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