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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26516694175 | from typing import Tuple
from acme import specs
from acme.jax import networks as networks_lib
import jax.numpy as jnp
BEHAVIOR_PARAMS_NAME = 'policy'
EVAL_PARAMS_NAME = 'eval'
def make_networks(
spec: specs.EnvironmentSpec) -> networks_lib.FeedForwardNetwork:
"""Creates networks used by the agent.
The mod... | deepmind/acme | acme/agents/jax/ars/networks.py | networks.py | py | 969 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "acme.specs.EnvironmentSpec",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "acme.specs",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "acme.jax.networks.FeedForwardNetwork",
"line_number": 27,
"usage_type": "call"
},
{
"a... |
38016538329 | from flask import Flask, redirect, url_for, render_template, request, session, jsonify
import json
import sys
import os
from app import get_ui_data, main
app = Flask(__name__)
# app.secret_key = os.urandom(12) # Generic key for dev purposes only
@app.route('/', methods=['GET', 'POST'])
def home():
return render_... | RishabhRastogi-VT/Search-VT | app_ui.py | app_ui.py | py | 917 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.route",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
... |
27337631071 | # -*- coding: utf-8 -*-
"""The check functions."""
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
#
# License: BSD (3-clause)
from distutils.version import LooseVersion
import operator
import os
import os.path as op
import sys
from pathlib import Path
import numpy as np
from ._logging import warn, logge... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mne/utils/check.py | check.py | py | 24,240 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "operator.index",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "_logging.warn",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "distutils.version.LooseVersion",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
33470766432 | import sqlite3
from flask import Flask, jsonify, redirect, render_template, request, url_for
from hashids import Hashids
from werkzeug import exceptions
def connect_to_db():
connection = sqlite3.connect('shortener/database.db')
connection.row_factory = sqlite3.Row
return connection
app = Flask(__name__)
a... | Forum-123/URL-Shortener | app.py | app.py | py | 2,556 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hashids.Hashids",
"lin... |
22967645364 | import numpy as np
import pandas as pd
from scipy import signal
from scipy import misc
# Define your patterns here
CROSS = np.reshape(list('F*F*X*F*F'), (3, 3))
BEND = np.reshape(list('F**F**XXX'), (3, 3))
ARROW = np.reshape(list('S*WSW*SSS'), (3, 3))
# Storing patterns in a dict
P = {'CROSS': CROSS, 'BEND': BEND, '... | taesiri/2DChallenge | app/complex.py | complex.py | py | 1,662 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.reshape",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.vectorize",
"line_nu... |
12449425257 | from __future__ import annotations
import itertools
from datetime import datetime, timedelta
from typing import AsyncIterable, Iterable
from redis.asyncio import Redis
from cachetory.interfaces.backends.async_ import AsyncBackend
class RedisBackend(AsyncBackend[bytes]):
"""Asynchronous Redis backend."""
_... | kpn/cachetory | cachetory/backends/async_/redis.py | redis.py | py | 2,586 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "cachetory.interfaces.backends.async_.AsyncBackend",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "redis.asyncio.Redis.from_url",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "redis.asyncio.Redis",
"line_number": 22,
"usage_type": "na... |
25573889449 | # 入力が10**5とかになったときに100ms程度早い
import sys
read = sys.stdin.readline
def read_ints():
return list(map(int, read().split()))
def read_a_int():
return int(read())
def read_matrix(H):
'''
H is number of rows
'''
return [list(map(int, read().split())) for _ in range(H)]
def read_map(H, W):
... | masakiaota/kyoupuro | contests/AGC033/A.2.py | A.2.py | py | 2,318 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 77,
"usage_type": "call"
}
] |
27070358044 | import pyrebase
import sys
import random
import math
import time
import os
from os.path import join, dirname
from dotenv import load_dotenv
# Load configs from .env file
dotenv_path = join(dirname(__file__), '..', '.env')
load_dotenv(dotenv_path)
UPDATE_TIMER = .5 # 1 second
CONFIG = {
'apiKey': os.environ.get... | caioariede/uber-react | fake_drivers/fake_drivers.py | fake_drivers.py | py | 2,764 | python | en | code | 153 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
... |
35462189739 | import torch
import torchvision.datasets as datasets
import torchvision.transforms as transforms
import torch.utils.data as data
import os
import random
import numpy as np
TargetLabels = range(10)
PSeq1 = [{
"breakpt": 1000,
"distribution": {
0: 0.1,
1: 0.1,
2: 0.1,
3: 0.1,
... | KitFung/OMSI | dataloader.py | dataloader.py | py | 4,195 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.seed",
"line_number": 149,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 150,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 151,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
17887144508 | from django.shortcuts import render
from .models import Sucursal,Camera
from django.views.generic.list import ListView
from django.views.generic.detail import DetailView
from django.urls import reverse, reverse_lazy
from core.dahuaClasses.dahua_class import Dahua
#from core.db import BDBDatabase
from procedures.Vrec.BD... | roldanwselipgo/webapp | webapp/sucursales/views.py | views.py | py | 20,458 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.list.ListView",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "models.Sucursal",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "sucursales.tasks",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "p... |
37241100023 | # @author: hayat
import os
import sys
import torch
import torch.utils.data as data
import numpy as np
from PIL import Image
import glob
import random
import cv2
random.seed(1143)
def preparing_training_data(hazefree_images_dir, hazeeffected_images_dir):
train_data = []
validation_data = []
hazy_data = glob.gl... | hayatkhan8660-maker/Light-DehazeNet | image_data_loader.py | image_data_loader.py | py | 2,465 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_numbe... |
17091203099 | from mpl_toolkits.basemap import shapefile
from collections import defaultdict
from itertools import groupby
import numpy as np
storm_dtype = [('xcent', 'f'), ('ycent', 'f'), ('frame_index', 'i'),
('frame_time', 'f'), ('feat_size', 'f'),
('feat_id', 'i'), ('track_id', 'i'), ('poly', 'O')]... | JeanBilheux/python_101 | matplotlib/tutorial.py | tutorial.py | py | 2,489 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "mpl_toolkits.basemap.shapefile.Reader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mpl_toolkits.basemap.shapefile",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"... |
1642968954 | from django import forms
from pages.models import Page, Menu, Contact
from micro_blog.models import Subscribers, Category
import json
class PageForm(forms.ModelForm):
contact_info = forms.CharField(max_length=5000, required=False)
class Meta:
model = Page
exclude = ('category', 'contact_info'... | MicroPyramid/MicroSite | pages/forms.py | forms.py | py | 2,960 | python | en | code | 79 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.f... |
3409725989 | import json
import jieba
import numpy as np
from sklearn.cluster import KMeans
from collections import Counter
from pyecharts import options as opts
from pyecharts.charts import Tree
import os
from pyspark.sql import SparkSession, SQLContext
os.environ['JAVA_HOME'] = "/usr/local/java/jdk1.8"
spark = SparkSession.build... | mykaneki/CollectionOfWorks | 作品集/爬虫-数据分析/weibo/main/find_topics.py | find_topics.py | py | 3,042 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 12,
"usage_type": "attribu... |
26434950550 | from flask import request
from flasgger.utils import swag_from
from flask import Blueprint
from usersServiceApp.core.register_logic import validate_and_create_level
from usersServiceApp.errors.usersException import usersException
from flask import jsonify
from usersServiceApp.infra.db_level import get_all_levels
bp_... | TDP2-G1/users-service | usersServiceApp/api/level.py | level.py | py | 2,176 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "usersServiceApp.... |
34170357595 | import torch
from torch.utils import data
from torch import nn, optim
from torch.nn.utils.clip_grad import clip_grad_norm_
from torch.utils.data.sampler import SubsetRandomSampler
from torch.nn import functional as F
from copy import deepcopy
from neural_net.maf import MaskedAutoregressiveTransform, RandomPermutat... | sg5g10/HMM | neural_net/train_nflow.py | train_nflow.py | py | 6,750 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "neural_net.maf.MaskedAutoregressiveTransform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.tanh",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional",
"line_number": 27,
"usage_type": "name"
... |
4819705552 | """
460. LFU Cache
Design and implement a data structure for a Least Frequently Used (LFU) cache.
Implement the LFUCache class:
- LFUCache(int capacity) Initializes the object with the capacity of the data structure.
- int get(int key) Gets the value of the key if the key exists in the cache. Otherwise, return -1.
- v... | tkwang0530/LeetCode | 0460.py | 0460.py | py | 5,901 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 146,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 164,
"usage_type": "call"
}
] |
23016831943 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import cv2
if __name__ == '__main__':
import sys
try:
fn = sys.argv[1]
except:
fn = '../temp/cat.jpg'
img = cv2.imread(fn)
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
def nothing(x):
pass
cv2.namedW... | jiyeqian/demo | OpenCV/hsv_trackbar.py | hsv_trackbar.py | py | 874 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_n... |
29664591285 | #will be simplistic so that it can directly be fed to the trainloader/other loaders
#will read from text files
#new mode option to read from different text files
from torch.utils.data import Dataset
import numpy as np
from torchvision import transforms
import helper_func
import info
#print(type(self.train))
class O... | msandipan/Research_Pose_Estimation | Networks/utils/DataloaderClassV2.py | DataloaderClassV2.py | py | 3,221 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 16,
"usage_type": "name"
},
{
"ap... |
32358325077 | from dateutil.relativedelta import relativedelta
from odoo import fields, models
class AccountPaymentTermLine(models.Model):
_inherit = "account.payment.term.line"
def write(self, vals):
res = super().write(vals)
if vals.get("discount_days"):
for item in self:
# g... | OCA/account-payment | account_payment_batch_process_discount/models/account_payment_term_line.py | account_payment_term_line.py | py | 1,140 | python | en | code | 76 | github-code | 18 | [
{
"api_name": "odoo.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Date.from_string",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "odoo.fi... |
8048768182 | import pydantic.schema
## Imports
import torch
import torchvision
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from torch.utils.data import DataLoader
from torch.utils.tensorboard import Su... | morekajal/Pytorch_learnings | 09_1_cnn_para_cal.py | 09_1_cnn_para_cal.py | py | 4,873 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.__version__",
"line_number": 13,
"usage_type": "attribute"
},
{
"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.Conv2d"... |
9447549346 | import argparse
from utils.config_initializer import ConfigInitializer
from utils.random_seed import seeding
from worker import Worker
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--model', type=str)
parser.add_argument('--data', type=str)
parser.add_argument('--... | Jyonn/SmartWord2Vec | run.py | run.py | py | 573 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.config_initializer.ConfigInitializer.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "utils.config_initializer.ConfigInitializer",
"line_number": 15,
"u... |
12456411286 | import requests
from requests.compat import urljoin
from ..models import Model_ConfigProduct
def PRODUCT_ID():
return Model_ConfigProduct.find_one_by_attr({
"config_product_code": "CI21000"
}).config_product_id
def DATA_RATE_GROUP(product_id: int):
return [
{
'config_product... | cmsommerville/integrate | app/backend/data/Config_RateGroup.py | Config_RateGroup.py | py | 1,016 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Model_ConfigProduct.find_one_by_attr",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Model_ConfigProduct",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.compat.urljoin",
"line_number": 31,
"usage_type": "call"
... |
21841759414 | import os, sys
import subprocess
import pandas as pd
import multiprocessing as mp
from p_tqdm import p_map
import time
def get_repo_root():
"""Get the root directory of the repo."""
dir_in_repo = os.path.dirname(os.path.abspath('__file__')) # os.getcwd()
return subprocess.check_output('git rev-parse --sh... | TheYuanLiao/ebike-routing | src/2-otp-routing.py | 2-otp-routing.py | py | 1,191 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output"... |
29135557048 | """
* Title: Egg Drop
* Author: Sam Gavis-Hughson
* Date: 11/28/2017
*
* Consider dropping eggs off of a building. If you drop an egg from the Xth floor
* and it breaks, then you know for all eggs dropped from floor X or above, they
* will break. Similarly, if you drop an egg from floor X and it doesn't break, no
* egg... | samgh/CIMDynamicProgramming | python/egg_drop.py | egg_drop.py | py | 4,528 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 106,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 131,
"usage_type": "call"
}
] |
35095652858 | import json
import os
import time
import warnings
import numpy as np
import torch
from collections import defaultdict
from torch.utils.data import DataLoader
from transformers import get_linear_schedule_with_warmup
from typing import List, Tuple, Dict
from pathlib import Path
from error_correction.modelling.base_tran... | j6mes/acl2021-factual-error-correction | src/error_correction/modelling/error_correction_module.py | error_correction_module.py | py | 15,221 | python | en | code | 23 | github-code | 18 | [
{
"api_name": "error_correction.modelling.base_transformer.BaseTransformer",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "error_correction.modelling.utils.SARI_KEYS",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "error_correction.modelling.utils.SARI_KEYS... |
17628829196 | class chartdata:
def chartdataorder(dic):
import datetime
month=datetime.datetime.now().month
year=datetime.datetime.now().year
monthnames={1:'Jan',2:'Feb',3:'Mar',4:'Apr',5:'May',6:'Jun',7:'Jul',8:'Aug',9:'Sep',10:'Oct',11:'Nov',12:'Dec'}
ls=[]
i=1
j=12... | hisham2k9/IMS-and-CAPA | ims/chartdata.py | chartdata.py | py | 1,645 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datet... |
71491359720 | from google.cloud import bigquery
from google.oauth2 import service_account
BYTES_PER_GB = 2**30
QUERY_LIMIT = 1*BYTES_PER_GB
def estimate_bytes_processed(query, bq_client):
"""A function to estimate query size without execution of query.
Modified from: https://www.kaggle.com/sohier/beyond-queries-exploring-t... | BayleeDevers/Introduction-to-Artificial-Intelligence | api_bigquery.py | api_bigquery.py | py | 1,888 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "google.cloud.bigquery.job.QueryJobConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "google.cloud.bigquery.job",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.bigquery",
"line_number": 13,
"usage_type": "name"
... |
23499296967 | import openai
import json
from PyQt5.QtCore import QThread,pyqtSignal
class chatCompletion(QThread):
responseChanged = pyqtSignal(str)
with open("API_key.txt","r") as key:
API_key = key.read()
def __init__(self, context, maxtkns,temp, destination):
super().__init__()
self.context... | traosorus/Robotech.IO | ChatCompletion.py | ChatCompletion.py | py | 1,774 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "json.l... |
31145280339 | import urllib3
import tempfile
import os
import sys
import argparse
import json
import certifi
import ast
api_dict = json.load(open("./api_dict.json", 'r'))
http = urllib3.PoolManager(cert_reqs='CERT_REQUIRED',
ca_certs=certifi.where())
class Request():
'''
This class handles performing a web request... | stooblie/gdp_calculator | etl/api.py | api.py | py | 6,009 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib3.PoolManager",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "certifi.where",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
33100305014 | from rest_framework.authtoken.models import Token
from django.shortcuts import get_object_or_404
from django.http import JsonResponse
from rest_framework.views import APIView
from user.models import User
from rest_framework import generics
from rest_framework.authentication import TokenAuthentication
from user.serializ... | fga-verival/2019-2Grupo5 | translate-me/authentication-master/api/views.py | views.py | py | 1,649 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 18,
"usage_type": "call"
},
... |
24549976093 | from django import shortcuts
from django.views.decorators import vary
from django.shortcuts import render
import horizon
from openstack_auth import views
#huoqu yonghuming , panduan yonghu quanxian ,yongyu shezhi tiaozhuanjiemian
def get_user_home(user):
if user.is_superuser:
return horizon.get_dashboar... | TsinghuaCloud/horizon | 4/openstack-dashboard/openstack_dashboard/views.py | views.py | py | 940 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "horizon.get_dashboard",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "horizon.get_dashboard",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": ... |
2046875242 | import torch
import os
import logging
import shutil
from tqdm import tqdm
logger = logging.getLogger('Attention')
def save_checkpoint(state, is_best, epoch, checkpoint, ins_name=-1):
'''Saves model and training parameters at checkpoint + 'last.pth.tar'. If is_best==True, also saves
checkpoint + 'best.pth.tar'
... | pd3nbplus/Seq2Seq-Machine-translation | utils.py | utils.py | py | 3,080 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_n... |
43277172360 | from collections import OrderedDict
from polity.models import Polity
def navigation(request):
# For now, we only support one level of sub-polities in the navigation.
# This is mostly because we haven't designed the interface to accommodate
# sub-sub-polities, and we're not likely to use them any time soon... | piratar/wasa2il | polity/contextprocessors.py | contextprocessors.py | py | 1,720 | python | en | code | null | github-code | 18 | [
{
"api_name": "collections.OrderedDict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "polity.models.Polity.POLITY_TYPES",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "polity.models.Polity",
"line_number": 22,
"usage_type": "name"
},
{
... |
71086542760 | import secrets
import uuid
from django.contrib.auth.models import User
from django.shortcuts import render
from requests import Response
from rest_framework.permissions import IsAuthenticated
from rest_framework.views import APIView
from .serializer import *
from .models import *
from rest_framework import generics, ... | culcat/hackathonUIBIPserver | server/views.py | views.py | py | 1,830 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 20,
"usage_type": "... |
24561311580 | from random import randrange
import googletrans
import discord
import sqlite3
data = sqlite3.connect('database.db')
cursor = data.cursor()
img, style = "", ""
client = discord.Client()
token = "put your bot token here" # <-- TOKEN
embed = discord.Embed
Help_Message = ("*kiss {pessoa} => todas as preferencias.\n"
... | xtvlw/Bot_Discod-python3 | Bot_Discord_Interations/Bot_Discord.py | Bot_Discord.py | py | 2,444 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "random.randrange",
... |
37984355095 | import tkinter as tk
import soundfile as sf
import sounddevice as sd
class Mixer: #
def __init__(self):
# creating the box type window
self.window = tk.Tk()
self.window.title("Matrix Multiplication")
self.window.geometry("600x200")
self.fs=44100
se... | finalyearProjct/math-visualisation | Linear Algebra/mixer_matrix_multiplication.py | mixer_matrix_multiplication.py | py | 3,569 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "soundfile.read",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "soundfile.read",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "soundfile.read",
"line_nu... |
12982338392 |
#$Rev: 117 $
#$Author: fnight $
#$Date: 2009-08-20 18:16:18 +0400 (Чт, 20 авг 2009) $
#This file is part of Vitamin Project
from vitamin.modules.tpl.builtins import methods, modificators
import operator
from functools import partial
from collections import OrderedDict
builtin_methods = {x:getattr(methods, x... | dmifurman/Vitamin | vitamin/modules/tpl/context.py | context.py | py | 6,614 | python | ru | code | 1 | github-code | 18 | [
{
"api_name": "vitamin.modules.tpl.builtins.methods",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "vitamin.modules.tpl.builtins.modificators",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "operator.attrgetter",
"line_number": 53,
"usage_ty... |
18028291503 | import fastf1 as ff1
import pandas as pd
import numpy as np
import math
from fastf1 import plotting
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap
from matplotlib.collections import LineCollection
# Enable the cache
ff1.Cache.enable_cache('cache')
# Enable plotting settings
ff1.plo... | MaxRondelli/Formula-1-Analysis | telemetry_acceleration.py | telemetry_acceleration.py | py | 9,286 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "fastf1.Cache.enable_cache",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastf1.Cache",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "fastf1.plotting.setup_mpl",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": ... |
34922145248 | import streamlit as st
from miscellanious_functions import *
from ClarkeAndWrightSavingsAlgorithm import ClarkeAndWrightSavingsAlgorithmWithVehConstraint
from MDVRP_KMeansFunc import KMeansClusteringBasedNodesSelection
from MDVRP_HierClustFunc import HierClusteringBasedNodeSelection
import datetime
st.set_page_config(... | Ioannis-Triantafyllakis/Solving-the-Multi-Depot-Vehicle-Routing-Problem | pages/02_🚀_Batch Simulations.py | 02_🚀_Batch Simulations.py | py | 3,144 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.subheader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamli... |
2973052907 | from django.db.models.signals import post_save, pre_delete
from django.contrib.auth import get_user_model
from django.dispatch import receiver
from profiles.models import Profile, Relationship
@receiver(post_save, sender=get_user_model())
def post_save_create_profile(sender, instance, created, **kwargs):
if creat... | durvalcarvalho/django-projects | social-network-django/profiles/signals.py | signals.py | py | 1,104 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "profiles.models.Profile.objects.create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "profiles.models.Profile.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "profiles.models.Profile",
"line_number": 10,
"usage_type": "n... |
69852348519 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 13 18:41:38 2021
@author: divyoj
"""# -*- coding: utf-8 -*-
"""
Created on Tue Apr 13 18:41:38 2021
@author: divyoj
"""
## importing libraries:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.animation import Fu... | Divyoj-Singh/Planar_cell_polarity | 1D/Deletion/Deletion.py | Deletion.py | py | 5,876 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "numba.njit",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_numb... |
26721752973 | from django.shortcuts import render
from django.http import HttpResponse
from . import forms
## Initalize dictionary of neighborhood coordinates
neighborhood_coord_dict = forms.get_neighborhood_dict()
c = {"neighborhoods": neighborhood_coord_dict}
## Blank/unknown site page
def blank(request):
return render(reque... | EmilyWebber/Healthy-Neighborhoods | Healthy-Neighborhoods/maps/views.py | views.py | py | 1,428 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 47,
"usage_type": "call"
},
{
"api_name"... |
9977481965 | import control as ct
import numpy as np
# %% Projeto do Compensador
class Compensador:
def __init__(self, planta, P, Q):
# Ordem do sistema
n = planta.A.shape[0]
# Projeto numérico do regulador integral
Aa = np.block([[planta.A, np.zeros((n, 1))], [-planta.C, 0]])
Ba = np... | raphateixeira/LabVirtual | simulacao_maglev/maglev_modularizado/compensador.py | compensador.py | py | 1,133 | python | pt | code | 7 | github-code | 18 | [
{
"api_name": "numpy.block",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.block",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "control.acker",
"line_number"... |
31137506240 | import torch
import torch.nn as nn
import torch.nn.functional as F
from multi_head_att.submodules import MultiHeadAttention, PositionwiseFeedForward, PositionalEncoding
def masked_mean(input, mask=None, dim=1):
# input: [batch_size, seq_len, hidden_size]
# mask: Float Tensor of size [batch_size, seq_len], whe... | yuewang-cuhk/CMKP | unified_model/modules.py | modules.py | py | 13,004 | python | en | code | 21 | github-code | 18 | [
{
"api_name": "torch.mean",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 3... |
10339803522 | #!/usr/bin/python3
import os
import sys
import string
from pathlib import Path
word_freqs = []
with open(os.path.join(Path.cwd(), 'res/ignore-words.txt')) as f:
ignore_words = f.read().split(',')
ignore_words.extend(list(string.ascii_lowercase))
for line in open(sys.argv[1]):
start_index = None
i = 0... | HoYaStudy/Python_Study | ProgrammingStyle/03-monolith/prog03.py | prog03.py | py | 1,423 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_n... |
42332312555 | """
fixtures for unit tests
"""
from typing import List, Dict
import pytest
from transformers import AutoTokenizer
from text_classification.dataset_utils import (
InputMultilabelExample,
MultilabelDataset,
OutputMultilabelExample)
@pytest.fixture
def num_labels() -> int:
"""number of class labels""... | prolego-team/text-classification | unit_tests/conftest.py | conftest.py | py | 2,870 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytest.fixture",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
74145734760 | import torch
import torch.nn as nn
import torch.nn.functional as F
from ...configs.model_configs import MODEL1_EMBEDDING_DIM, MODEL1_DECODER_HIDDEN_DIM, MODEL1_DECODER_NUM_LAYERS, MODEL1_DECODER_RNN_DROPOUT_P, MODEL1_DECODER_NUM_ATTENTION_HEAD, MODEL1_DECODER_ATTENTION_DROPOUT_P, MODEL1_ACTIVATION, MODEL1_DECODER_INPU... | nienwk/Seq2Seq_AbsSumm | seq2seq_text_summarization/models/decoders/decoder1.py | decoder1.py | py | 8,525 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "configs.model_configs.MODEL1_EMBEDDING_DIM",
"line_number": 11,
"usage_type": "name"
},
{
"api_name":... |
24504888903 | import collections
import logging
import os
import tensorflow as tf
from transformers_keras.tokenizers import TransformerDefaultTokenizer
def create_int_feature(values):
feature = tf.train.Feature(int64_list=tf.train.Int64List(value=list(values)))
return feature
class TransformerTFRecordGenerator(object):... | 17714196157/transformers-keras | transformers_keras/utils/transformer_tfrecord_generator.py | transformer_tfrecord_generator.py | py | 4,094 | python | en | code | null | github-code | 18 | [
{
"api_name": "tensorflow.train.Feature",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.train",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.train.Int64List",
"line_number": 11,
"usage_type": "call"
},
{
"api_nam... |
40701865889 | from enum import Enum, auto
n = int(input().strip())
class RainEnum(Enum):
start = auto()
end = auto()
# 時刻を何分単位に丸めるか: 60 を割り切る数に設定
rain_time_unit = 5
units_per_hour = 60 // rain_time_unit
def rain_time_to_unit(time: str, rain: RainEnum) -> int:
ret = int(time[:2]) * units_per_hour
if rain == Rai... | noritakaIzumi/atcoder-python | abc001/d.py | d.py | py | 1,355 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 8,
"usage_type": "call"
}
] |
37160023588 | from pprint import pprint
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import os
import re
def run_driver():
chrome_options = Options() # add options for chrome driver
chrome_options.add_argument('--headless') # no window
chrome_options.add_argument('--log-level=3... | V1S10US/YandexMusic-to-Spotify-Transfer | YM_to_Spotify_transfer.py | YM_to_Spotify_transfer.py | py | 9,193 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
... |
72578797160 | #!/usr/bin/env python
#
# Project: Video Streaming with Flask
# Author: Log0 <im [dot] ckieric [at] gmail [dot] com>
# Date: 2014/12/21
# Website: http://www.chioka.in/
# Description:
# Modified to support streaming out with webcams, and not just raw JPEGs.
# Most of the code credits to Miguel Grinberg, except that I m... | zedoggo/CrowdCountingWebApp | main.py | main.py | py | 5,885 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "models.CC.CrowdCounter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "flask.render_template",... |
42204642295 | import argparse
import os
import numpy as np
import open3d.ml as _ml3d
import open3d.ml.torch as ml3d
def parse_args():
parser = argparse.ArgumentParser(
description = "Applies Object Detection Models (PointPillars \
or PointRCNN(requires cuda) on Raw Kitti Data \
... | TerranL/REDSA-CAV | scripts/object_detection/objdet_rawKitti_frame.py | objdet_rawKitti_frame.py | py | 6,044 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "numpy.concaten... |
5245013549 | from django.conf import settings
from django.contrib.auth import login
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth.models import User, Group
from django.contrib.auth.decorators import permission_required, login_required
from django.contrib.auth.views import redirect_to_login
from d... | kmshi/miroguide | channelguide/user_profile/views.py | views.py | py | 8,729 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "channelguide.user_profile.forms.RegisterForm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "channelguide.user_profile.forms",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 36,
"usage_type":... |
74838301800 | #!/usr/bin/env python
"""
Select transcripts/gene overlapping a given locations.
"""
import argparse
import os
import re
import sys
from pybedtools.bedtool import BedTool
from pygtftk import arg_formatter
from pygtftk.cmd_object import CmdObject
from pygtftk.gtf_interface import GTF
from pygtftk.utils import close_... | dputhier/pygtftk | pygtftk/plugins/select_by_loc.py | select_by_loc.py | py | 10,229 | python | en | code | 37 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pygtftk.arg_formatter.FormattedFile",
"line_number": 37,
"usage_type": "call"
},
{
"api_na... |
71427372840 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV fil... | aorursy/new-nb-3 | iniketan_naive-bayers-bow-kernel.py | iniketan_naive-bayers-bow-kernel.py | py | 1,952 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"lin... |
2113479642 | #!/opt/python-3.6/bin/python3.6
import sys
import re
import os
from collections import Counter
def process_text(doc):
# remove SGML tags
doc_clean = doc.replace('\n', ' ').replace('\t', ' ')
doc_clean = re.sub(r"<[^>]*>", ' ', doc_clean)
# remove leading and trailing spaces
doc_clean = doc_clean.... | kharaldsson/ling473 | Project_02/hw/tallyemup.py | tallyemup.py | py | 1,293 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.sub",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
"u... |
11039558696 | # © 2023 Solvos Consultoría Informática (<http://www.solvos.es>)
# License LGPL-3.0 (https://www.gnu.org/licenses/lgpl-3.0.html)
from openupgradelib import openupgrade
@openupgrade.migrate()
def migrate(env, version):
openupgrade.logged_query(
env.cr,
"""
UPDATE
stock_valuatio... | solvosci/slv-manufacture | stock_valuation_mrp/migrations/13.0.2.2.0/pre-migration.py | pre-migration.py | py | 851 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openupgradelib.openupgrade.logged_query",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "openupgradelib.openupgrade",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "openupgradelib.openupgrade.migrate",
"line_number": 7,
"usage_type": "ca... |
12131155218 | import unittest
from core import configuration
import time
import logging
class TestFB(unittest.TestCase):
def setUp(self):
# Configure the logging output
logging.basicConfig(level=logging.INFO,
format='[%(asctime)s][%(levelname)s][%(threadName)s] %(message)s')
... | DIGI2-FEUP/dinasore | tests/test_fb.py | test_fb.py | py | 3,429 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "core.conf... |
19428802508 | #!/usr/bin/env python
##from https://github.com/NamWoo
from __future__ import print_function
#import roslib
#roslib.load_manifest('my_package')
import sys, time
import rospy
import cv2
import numpy as np
from std_msgs.msg import String
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
... | NamWoo/ros_camera | scripts/pub2.py | pub2.py | py | 2,337 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_GSTREAMER",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FOURCC",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "cv2.... |
29219202600 | import nibabel as nib
import matplotlib.pyplot as plt
import os
import xlsxwriter
def load_scan(file_name):
scan = nib.load(file_name)
data = scan.get_fdata()
if data.ndim == 2:
arr = (data - data.min())/(data.max()-data.min()) * 255
return arr
# if data.ndim == 3:
# xdim, ydim... | lglass/blurry-detect | blurdetection/processing.py | processing.py | py | 1,832 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "nibabel.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
33642611780 | from typing import Union
import pytest
from pytest import fixture
from utilities.api_helpers.api import API
api = API()
domain: str = "www.demoqa.com"
path: str = "/"
@pytest.fixture(scope="session")
def browser_context_args(browser_context_args: fixture) -> dict:
response: Union[dict, str] = api.authenticate(... | ThompsonJonM/python-playwright | conftest.py | conftest.py | py | 645 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "utilities.api_helpers.api.API",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pytest.fixtu... |
33210140478 | import random, os, time, sys, psutil
# Quick sort code(Recursive)
def partition(seq, left, right):
pos = left
for i in range(left, right):
if seq[i] < seq[right]:
seq[i],seq[pos] = seq[pos],seq[i]
pos += 1
seq[pos],seq[right] = seq[right],seq[pos]
return pos
def quickS... | saimanoj22/IIIT_PUNE_Classroom_Codes | 3 Third Sem/Analysis and Design of Algorithms/LAB 2/quickSort_recursive.py | quickSort_recursive.py | py | 961 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "random.sample",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number":... |
21019428930 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import re
import sys
from textwrap import dedent, TextWrapper
try:
from prompt_toolkit import print_formatted_text as print
except (ImportError, ModuleNotFoundError):
pass
from pyutil.sys_checks import is_file
class ZimText(TextWrapper):
def __init__(
... | farisachugthai/utilities | pyutil/wrap.py | wrap.py | py | 2,195 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "textwrap.TextWrapper",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "textwrap.dedent",
... |
7660020066 | import numpy as np
import matplotlib.pyplot as plt
class BinaryCrossEntropy:
def __init__(self):
self.one = lambda y_hat: -np.log(y_hat)
self.zero = lambda y_hat: -np.log(1-y_hat)
def forward(self, y, y_hat):
if y == 1:
return self.one(y_hat)
return self.zero(y_ha... | seyeon-shijuan/sesac-machine-learning | chap3_deep_learning/dl_05_binary_crossentropy.py | dl_05_binary_crossentropy.py | py | 1,104 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.log",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 31,
... |
1749253646 | from gettext import Catalog
from pickle import TRUE
from xmlrpc.client import boolean
from basicmatcher.models import *
import re
from django.db import connection
class jobTitleDoesntExist(Exception):
pass
#The function returns the index of the best candidate
def matcherEngine(jobTitle:str)->int:
... | OrMeirchak/BasicMatcher | basicmatcher/engine.py | engine.py | py | 8,327 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.db.connection.cursor",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "django.db.connection",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "django.db.connection.cursor",
"line_number": 53,
"usage_type": "call"
},
{
"api_... |
4795533383 | # -*- coding: utf-8 -*-
from sanic import Sanic
from sanic_jwt import Initialize
from app.blueprints import offers_bp
from config import Config
def get_app():
app = Sanic(__name__)
Initialize(
app,
secret=Config.SECRET,
cookie_set=True,
cookie_strict=False,
auth_mode... | levakin/sanic-test-app | microservices/offers/app/app.py | app.py | py | 424 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "app.blueprints",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sanic.Sanic",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sanic_jwt.Initialize",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.blueprints",
... |
22029946259 | """API tests."""
import os
import pytest
from werkzeug.exceptions import Unauthorized
from registration.src.api.utils.whitelist import verify, GIDS
class TestWhitelist:
"""Tests if a user can access a whitelisted function."""
#pylint: disable=no-self-use
@staticmethod
@pytest.fixture(autouse=True)
... | CruzHacks/cruzhacks-2019-registration-service | services/registration/tests/test_api.py | test_api.py | py | 2,358 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "registration.src.api.utils.whitelist.verify",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "registration.src.api.utils.whitelist.GIDS",
"line_number": 23,
"usage_type": "... |
20614866550 | from django.db import models
class Customer(models.Model):
name = models.CharField(max_length=100)
phone_number = models.CharField(max_length=20)
description = models.TextField()
quantity = models.IntegerField()
price = models.DecimalField(max_digits=10, decimal_places=2)
collection_date = mode... | Heytec/freddrycleaner | drycleaner/customer/models.py | models.py | py | 539 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "... |
26857455304 | import pygame
import random
# Dimensiones de la ventana del juego
WIDTH = 800
HEIGHT = 600
# Colores
BLACK = (0, 0, 0)
RED = (255, 0, 0)
BLUE = (0, 0, 255)
# Tamaño del jugador
PLAYER_WIDTH = 60
PLAYER_HEIGHT = 80
# Tamaño de la bala
BULLET_WIDTH = 10
BULLET_HEIGHT = 20
# Velocidad del jugador
PLAYER_SPEED = 8
# ... | CesarPumacayo/Python-UTN | Ejemplos_Pygame/ejemplo_2.py | ejemplo_2.py | py | 3,901 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
20929776689 | from django.contrib import admin
from .models import Events
from users.models import CustomUser
@admin.register(Events)
class EventsAdmin(admin.ModelAdmin):
list_display = [
'id',
'title',
'start',
'end',
'date_created',
'get_username'
]
@admin.display(order... | devdanix/ams | events/admin.py | admin.py | py | 436 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.display",
"line_number": 16,
"usage_type": "call"
},
{
... |
35178819758 | '''
This module contains methods for importing Vegetation Indices data
from Google Earth Engine. The VIs are calculated from MODIS BRDF
corrected product to reduce the influence of illumination and observation
geometries. NDVI and EVI are retrieved from the 8 regions of interest.
Before calling any of the methods, mak... | 4C-Guided-Team-Challenge/drought-with-gedi | drought/data/vi_extract.py | vi_extract.py | py | 3,602 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ee.Date",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "ee.Geometry",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "drought.data.ee_converter.get_region_as_df",
"line_number": 31,
"usage_type": "call"
},
{
"api_name... |
73121666601 | """
This test script is to test payment ledger back-population for following Scenario:
- Citation Creation
- Adjudication
This script also cleans up the data created in pre-script.
"""
from utility.payment_ledger_utility import fetch_data_from_payment_ledger, get_local_citation_data
from env.logging_interface ... | Apoorv-Choudhary/api-test | controllers/developer/populate_payment_ledger_with_old_payments/post/test_case_4.py | test_case_4.py | py | 2,954 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "env.session_manager.current_session.get_variable",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "env.session_manager.current_session",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "utility.payment_ledger_utility.fetch_data_from_payment_ledge... |
23253950233 | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.4.1)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x0a\x37\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\
\x00\x00\x5a\x0... | mthnzbk/domestic | domestic/resource.py | resource.py | py | 866,028 | python | ja | code | 3 | github-code | 18 | [
{
"api_name": "PyQt5.QtCore.qRegisterResourceData",
"line_number": 13244,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 13244,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.qUnregisterResourceData",
"line_number": 13247,
"usage_type": "call"
... |
7808470576 | import torch
import numpy as np
import matplotlib.pyplot as plt
# set up matplotlib
plt.ion()
# Helper function to plot duration of episodes and an average over the last 100 iterations
def plot_variables(fig, plot_var, title):
fig, ax1, ax2 = fig
durations_t = torch.tensor(plot_var['durations'], dtype=torch.... | kracon7/Multi-Step-Recurrent-Q-Learning-for-Robotic-Velcro-Peeling | utils/visualization.py | visualization.py | py | 1,062 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.float",
... |
31233759742 | import matplotlib.pyplot as plt # plt 用于显示图片
from PIL import Image
import numpy as np
import seaborn as sns
from seaborn.matrix import clustermap
MAX_NUM = 1000
class MyGaussianBlur():
def __init__(self, radius = 1, sigma = 1.5):
'''
Description
----------
高斯模糊
Para... | cnhaox/2021Spring-SYSU-Computer_Vision | Assignment2/18308013-陈家豪-计算机视觉期末作业/code/segmentation.py | segmentation.py | py | 10,354 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 34,
... |
8170251194 | '''
Utility functions for the application
'''
from datetime import datetime
from functools import wraps
from flask import redirect, request, session, url_for
from app.models import DesignatedDriver as DD
from app.models import Event, db
from twilio.rest import Client
def get_all_entries(drivers=True):
"""
@... | Durian-Inc/DwDD | app/utils.py | utils.py | py | 5,405 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "app.models.DesignatedDriver.query.all",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "app.models.DesignatedDriver.query",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "app.models.DesignatedDriver",
"line_number": 22,
"usage_type... |
34268580249 | import numpy as np
import xgboost as xgb
dtrain=xgb.DMatrix(r'C:\Users\mashiji\Desktop\agaricus.txt.train')
dtest=xgb.DMatrix(r'C:\Users\mashiji\Desktop\agaricus.txt.test')
watchlist=[(dtest,'eval'),(dtrain,'train')]
param={'max_depth':2,'eta':1,'silent':1,'objective':'binary:logistic'}
bst=xgb.train(param,dtrain,1,w... | mashiji/Machine-Learning | xgboost/xgb_test.py | xgb_test.py | py | 1,333 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "xgboost.DMatrix",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "xgboost.DMatrix",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "xgboost.train",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "xgboost.DMatrix",
"lin... |
37572405799 | '''
'''
import os
import codecs
from types import SimpleNamespace
import numpy as np
import tensorflow as tf
from datetime import datetime
import time
import random
import pyemblib
import configlogger
from drgriffis.common import log
import dataset
import cross_validation
from model import CNNParams, CNNModel
def tra... | drgriffis/wordnet-cnn-classification | experiment.py | experiment.py | py | 20,291 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "drgriffis.common.log.writeln",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "drgriffis.common.log",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "drgriffis.common.log.writeln",
"line_number": 32,
"usage_type": "call"
},
{
"ap... |
2056634467 | #!/usr/bin/env python
import __builtin__
import logging
import mock
import sys
level = logging.INFO
# level = logging.DEBUG
logging.basicConfig(level=level)
logger = logging.getLogger(__name__)
orig_open = __builtin__.open
def setup(**kwargs):
install_requires = kwargs.get('install_requires')
logger.debug(... | msabramo/setuppycheck | examples/reads_requirements_text/setuppycheck.py | setuppycheck.py | py | 1,214 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "__builtin__.op... |
28709560662 | from transformers import BertTokenizer, BertForSequenceClassification
from transformers import AutoTokenizer, AutoModelForSequenceClassification
from transformers import pipeline
from sklearn import preprocessing
import torch
class classify():
'''
This function contanins all the classifiers used in the sentimen... | yashvajani/financial_sentiment_analysis-Microsoft_earnings | code/classifiers.py | classifiers.py | py | 2,652 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "transformers.BertForSequenceClassification.from_pretrained",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "transformers.BertForSequenceClassification",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "transformers.BertTokenizer.from_pretrained"... |
1587151386 | '''
Created on 5 mars 2017
@author: OPBO6311
'''
from root.nested.constantes import Constantes
from copy import deepcopy
import requests
from tkinter import ttk
from tkinter import *
import json
class Replay(object):
"La fenêtre permettant de rejouer une partie spécifique"
dimensionx=400
... | pierdobauce/SaverAPI | MyTestProject/src/root/nested/replay.py | replay.py | py | 5,626 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "root.nested.constantes.Constantes.nondefini",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "root.nested.constantes.Constantes",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "root.nested.constantes.Constantes.nondefini",
"line_number... |
74711425320 | import itertools
import logging
import math
import sys
import numpy
import OpenGL
OpenGL.ERROR_ON_COPY = True
from OpenGL.arrays import vbo # noqa
from OpenGL.GL import * # noqa
from OpenGL.GLUT import * # noqa
import OpenGL.GL.shaders as glsl # noqa
log = logging.getLogger(__name__)
class Renderer(object):
... | jdowner/voxel | voxel/core.py | core.py | py | 25,564 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "OpenGL.ERROR_ON_COPY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
72445104681 | '''
Reference:
Samuel Oliveira, Victor Diniz, Anisio Lacerda, and Gisele L Pappa. 2016. Evolu-tionary rank aggregation for recommender systems.
IEEE Congress on Evolutionary Computation (CEC). IEEE, 255–262.
'''
import torch
from torch import nn
import torch.nn.functional as F
from modules.attention import *
from mo... | JiayuLi-997/IntEL-SIGIR2023 | IntEL/src/models/supervise/ERA.py | ERA.py | py | 2,412 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "models.BaseModel.GeneralShuffleModel",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.BaseModel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.BaseModel.GeneralShuffleModel.parse_model_args",
"line_number": 22,
"us... |
33457927228 | from score.IoV_state import IoVSendMessage
import random
import uuid
# 读取位置信息，生成广播消息
def file_location(files):
gen = []
with open(files, 'r') as f:
locations = f.readlines()
for i in range(0, len(locations)):
locations[i] = locations[i].rstrip('\n')
a = locations[i].split(',')
... | forbighouse/llbc | score/simulator.py | simulator.py | py | 1,206 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "uuid.uuid3",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "uuid.NAMESPACE_DNS",
"lin... |
17936815533 | # 基本ライブラリ
import streamlit as st
import numpy as np
import pandas as pd
from PIL import Image
from PIL import ImageFilter,ImageOps
import torch
import io
#from airplane_class_1 import transform, Net # animal.py から前処理とネットワークの定義を読み込み
#import airplane_maesyori_1
# maesyori
def keepAspectResizeSimple(path,... | hkimata1991/app_airplane2 | airplane_st.py | airplane_st.py | py | 11,285 | python | ja | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number":... |
72745541479 | import torchvision.transforms as TF
import torchvision.transforms.functional as TFF
import numpy as np
from PIL import Image
import argparse
from pathlib import Path
from tqdm.auto import tqdm
def _get_new_shape(img):
H, W = np.array(img).shape[:2]
H_new, W_new = 512, round(512 * W / H)
return H_new, W_ne... | glcanvas/master-diploma | images2/resize.py | resize.py | py | 1,852 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.InterpolationMode",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms",
"line_number": 17,
"usage_type": "name"
},
{
"... |
18623976034 |
import datetime
import openai
from config import apikey
import speech_recognition as sr
import os
import win32com.client
import pyaudio
import webbrowser
# import required module
import subprocess, sys
import random
import win32com.client as wincl
speaker = win32com.client.Dispatch("SAPI.SpVoice")
chatStr = ""
def c... | Rajat-rj45/ThinkBot | jarvaisAi/main.py | main.py | py | 5,632 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "win32com.client.client.Dispatch",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "win32com.client.client",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "win32com.client",
"line_number": 15,
"usage_type": "name"
},
{
"api_n... |
35602707105 | # Predict in Keras
import json
from tensorflow.keras.preprocessing.text import tokenizer_from_json
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.sequence import pad_sequences
import numpy as np
from nltk.stem import WordNetLemmatizer
import re
stopwords = nltk.corpus.stopwords.word... | ConcurDataScience/ConcurMLWorkshop | 03_Model_Building/predict.py | predict.py | py | 1,904 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "nltk.stem.corpus.stopwords.words",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.stem.corpus",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "nltk.stem",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "nltk... |
4729219504 |
import kmmessage
import time
import logging
'''
Keith Murray
email: kmurrayis@gmail.com
'''
from asecretplace import getPythonHelperBotKeys
smstoaddr = getPythonHelperBotKeys.GETSMSADDR()
mmstoaddr = getPythonHelperBotKeys.GETMMSADDR()
emailtoaddr = getPythonHelperBotKeys.GETEMAILADDR()
def getU... | KeithTheEE/redditPythonHelper | utils/textSupervision.py | textSupervision.py | py | 5,687 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "asecretplace.getPythonHelperBotKeys.GETSMSADDR",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "asecretplace.getPythonHelperBotKeys",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "asecretplace.getPythonHelperBotKeys.GETMMSADDR",
"line_num... |
101219671 | import json
import random
with open("text.json", "r") as f:
try:
file = f.read()
file_dict = json.loads(file)
except Exception as e:
print(f"Error: {e}")
lifes = file_dict['life']
rand_word = random.choice(file_dict['words'])
letters = []
print("You need to guess the wor... | roshumihai/hangmen_game | hangman_game.py | hangman_game.py | py | 1,017 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 12,
"usage_type": "call"
}
] |
71167665320 | import numpy
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import Flatten
from keras.layers.convolutional import Convolution2D
from keras.layers.convolutional import MaxPooling2D
from keras.utils import np_utils
fro... | abhishekshanbhag/emotion_based_spotify | emotify_CNN_v2.py | emotify_CNN_v2.py | py | 2,368 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
27077838934 | from .utils import memoized
from .classes import DB, Column
from .exceptions import (DriverNotFound,
DBNotConnected)
_connection = None
def get_driver(driver):
driver_path = 'drivers.%s_driver' % (driver,)
try:
return memoized(__import__)(driver_path, globals(), locals(), -1... | caioariede/python-simpleauth | simpleauth/db.py | db.py | py | 1,115 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "utils.memoized",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "exceptions.DriverNotFound",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "exceptions.DBNotConnected",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cl... |
2657443374 | import argparse
from app.environment import Environment
import app.apis.twitter as twitter
import app.apis.file_api as file_api
import app.apis.kintone as kintone
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Data Extractor for Watson Disaster App")
keyword, locations = Environment.... | icoxfog417/WatsonDisasterApp | run.py | run.py | py | 1,421 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.environment.Environment.get_runtime_parameters",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.environment.Environment",
"line_number": 10,
"usage_type": ... |
73027347560 | import json
from recruitment.bamboo_hr.entities.bamboo_employee import BambooEmployee
from recruitment.bamboo_hr.entities.bamboo_time_off import BambooTimeOff
from recruitment.bamboo_hr import util
class BambooHrApi():
def employee(self, context, params):
'''Gets an employee'''
headers = context... | dipendrabaidawa/unified_api | unified/modules/main/categories/recruitment/bamboo_hr/api.py | api.py | py | 1,243 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "recruitment.bamboo_hr.util.get_bamboo_request",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "recruitment.bamboo_hr.util",
"line_number": 17,
"usage_type": "name"
},
{
... |
12925254069 | import json
class GradeEncoder(json.JSONEncoder):
def default(self, obj):
return {"Course": obj.course,
"Title": obj.title,
"Period": obj.period,
"Letter": obj.letter,
"Score": obj.score,
"Teacher": obj.teacher
}... | joelewiss/GradeChecker | modules/output/json.py | json.py | py | 390 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.JSONEncoder",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
}
] |
661358366 | from functools import partial
import os
import platform
import shutil
from exercise import Exercise
from exercise_manager import ExerciseManager
def ask(prompt: str) -> bool:
if not prompt.rstrip().endswith("[Y/n]"):
prompt += " [Y/n] "
while True:
answer = input(prompt).strip(... | y-lily/language-trainer | interface.py | interface.py | py | 2,793 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "exercise.Exercise",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "exercise.Exercise",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.system",
"... |
6856646354 | from django.urls import path
from rest_framework_simplejwt.views import (
TokenObtainPairView,
TokenRefreshView,
TokenVerifyView
)
from api.v1.views import RoomViewSet, MessageViewSet
urlpatterns = [
path("token/", TokenObtainPairView.as_view(), name="token_obtain_pair"),
path("refresh/", TokenRef... | amkolotov/il_chat | backend/api/v1/urls.py | urls.py | py | 581 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rest_framework_simplejwt.views.TokenObtainPairView.as_view",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rest_framework_simplejwt.views.TokenObtainPairView",
"line_number... |
72442035880 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
import requests,time,hashlib,json,uuid
from config import Config
cf = Config.Config()
def databuild(**kwargs):
"""
公用的函数，构造data参数
:param kwargs:
:return:
"""
data = json.dumps(kwargs)
print(data)
return data
def body(data: str, guid=... | jdjdjjdd/git-code | common/login/login_basic.py | login_basic.py | py | 6,005 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.Config.Config",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.Config",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_num... |
25659294334 | import yaml
class DictionaryTagger(object):
def __init__(self, dictionary_paths):
files = [open(path, 'r') for path in dictionary_paths]
dictionaries = [yaml.load(dict_file) for dict_file in files]
map(lambda x: x.close(), files)
self.dictionary = {}
self.max_key_size = 0
... | mattiaspalmgren/amazon-rating-predictor | dictionarytagger.py | dictionarytagger.py | py | 1,564 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "yaml.load",
"line_number": 7,
"usage_type": "call"
}
] |
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