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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43427847703 | from .common import deploy
def _parse_sub(subparsers):
parser = subparsers.add_parser("rtt_isolated",
help="Round-trip time for each node in isolation (only node on network)")
return parser
def _main(args, script_fmt):
cmd_list = [
"cd mqtt-benchmark",
script_fmt.format(pub="to... | arjunr2/mqtt-benchmark | bench_scripts/rtt_isolated.py | rtt_isolated.py | py | 405 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "common.deploy",
"line_number": 14,
"usage_type": "call"
}
] |
74473655465 | from inspect import getsource
from IPython.core.display import HTML, display
from pygments import highlight
from pygments.lexers import PythonLexer
from pygments.formatters import HtmlFormatter
_formatter = HtmlFormatter()
def get_source(obj, preprocess=None):
# comments = f'# decorated by: {obj.decorated_by}\n... | krassowski/jupyter-helpers | jupyter_helpers/source.py | source.py | py | 983 | python | en | code | 45 | github-code | 36 | [
{
"api_name": "pygments.formatters.HtmlFormatter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "inspect.getsource",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "IPython.core.display.HTML",
"line_number": 21,
"usage_type": "call"
},
{
"api_... |
28969560543 | from django.contrib import admin
from ..models import Player
class PlayerAdmin(admin.ModelAdmin):
list_display = (
'name',
'lastname',
'birth_date',
'team',
'photo',
'position',
'player_number',
'is_first_team',
)
admin.site.register(Player, P... | dexer13/rebus-project | world_cup/admin/player_admin.py | player_admin.py | py | 332 | python | en | code | 0 | github-code | 36 | [
{
"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.site.register",
"line_number": 19,
"usage_type": "call"
},... |
19160015551 | """
Contains author & document records in dict() form for self-contained testing
"""
import contextlib
import copy
import time
from collections import defaultdict
from itertools import zip_longest
from unittest.mock import MagicMock
import path_finder
from cache.cache_buddy import CacheMiss, AUTHOR_VERSION_NUMBER, \
... | svank/appa-backend | appa/tests/mock_backing_cache.py | mock_backing_cache.py | py | 9,020 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "path_finder.is_bibcode",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "path_finder.is_orcid_id",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "path_finder.normalize_orcid_id",
"line_number": 20,
"usage_type": "attribute"
... |
61098782 | from collections import deque
from typing import Union
import numpy as np
from stlpy.STL import STLTree, STLFormula, LinearPredicate
COLORED = False
if COLORED:
from termcolor import colored
else:
def colored(text, color):
return text
class STL:
def __init__(self, ast: Union[list, str, STLTree,... | ZikangXiong/STL-Mobile-Robot | src/stl_mob/stl/stl.py | stl.py | py | 10,389 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "stlpy.STL.STLTree",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "stlpy.STL.STLFormula",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "stlpy.STL.LinearP... |
41566426879 | import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
def test_readonly(host):
f = '/mnt/ro/hello-ro'
with host.sudo('test'):
c = host.run('touch %s', f)
assert c.rc == 1
ass... | ome/ansible-role-nfs-mount | molecule/default/tests/test_default.py | test_default.py | py | 640 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "testinfra.utils.ansible_runner.utils.ansible_runner.AnsibleRunner",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "testinfra.utils.ansible_runner.utils",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "testinfra.utils.ansible_runner",
"l... |
889427858 | from connection import create_connection
import numpy as np,numpy.random
from numpy.core.fromnumeric import size
import requests
from bson.objectid import ObjectId
from tag_classes import classifications
import random
def random_classification():
random_classifcations = {}
for tag in classifications.keys():
... | saarthakbabuta1/loan-agreement | classify.py | classify.py | py | 1,858 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tag_classes.classifications.keys",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tag_classes.classifications",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
20580965010 | from django import forms
from .models import Recipe
from channel.models import Channel
class RecipeForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(RecipeForm, self).__init__(*args, **kwargs)
if self.instance.id:
self.fields['trigger_channel'].initial = self.instance.t... | theju/dtwt | recipe/forms.py | forms.py | py | 650 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelChoiceField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
20681014178 | __author__ = 'elmira'
import numpy as np
import itertools
from matplotlib import mlab
import re
with open('corpus1.txt', encoding='utf-8') as f:
news = f.read()
with open('corpus2.txt', encoding='utf-8') as f:
anna = f.read()
anna_sentences = re.split(r'(?:[.]\s*){3}|[.?!]', anna)
news_sentences = re.split(r... | elmiram/homework | seminar9/task1 (2 points)/genre-by-letters.py | genre-by-letters.py | py | 2,438 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.split",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 52,
... |
35387136484 | #!/usr/bin/env python3
from sys import stderr
from multilanguage import Env, Lang, TALcolors
from TALinputs import TALinput
from TALfiles import TALfilesHelper
import os
import random
import networkx as nx
import vertex_cover_lib as vcl
import matplotlib
import multiprocessing
# METADATA OF THIS TAL_SERVICE:
args_li... | romeorizzi/TALight | example_problems/tutorial/vertex_cover/services/check_approx_vc_driver.py | check_approx_vc_driver.py | py | 10,368 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "multilanguage.Env",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "multilanguage.TALcolors",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "multilanguage.Lang",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "TALfiles... |
27478835009 | # 1 задание
my_list = [1, 1.2, None, True, 'Text', ['list'], {'key_1':'Val_1'}]
for itam in my_list:
print(type(itam))
# 2 задание
my_list2 = input('Введите элементы списка через запятую: ')
my_list2 = my_list2.split(',')
print(my_list2)
my_list2_len = len(my_list2) if len(my_list2) % 2 ==0 else len... | Glen1679/GeekBrains | Homework2.py | Homework2.py | py | 4,241 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 119... |
16528703119 | from scipy import signal
from pywebio.input import *
from pywebio.output import *
from pywebio import start_server
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import io
def fig2img(fig):
"""
Converts a Matplotlib figure to a PIL Image and return it
"""
buf = io.BytesIO()
... | tirthajyoti/PyWebIO | apps/bode.py | bode.py | py | 4,531 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "io.BytesIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.close",
"li... |
2251885893 | import math
import numpy as np
import pygame as pg
def box_l2_loss(obj1, obj2):
r1 = np.array([obj1.rect.x, obj1.rect.y, obj1.rect.width, obj1.rect.height])
r2 = np.array([obj2.rect.x, obj2.rect.y, obj2.rect.width, obj2.rect.height])
return np.linalg.norm(r1 - r2)
def move_from_vector(vector):
angle, speed ... | thbeucher/Games | life_games/utils.py | utils.py | py | 1,395 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_numbe... |
41763630844 | import random
from terminaltables import AsciiTable
import curses
GAME_TITLE = "`•.,¸¸ [ JEU DU TAQUIN ] ¸¸,.•´"
# Nombre de cases par côté
TAQUIN_SIZE = 4
# Valeur de la case vide
EMPTY_CASE_VALUE = ""
# Taquin correct, dans l'ordre
CORRECT_SOLUTION = [list(a) for a in zip(*[iter(list(range(1, TAQUIN_SIZE ** 2)) ... | martync/taquin-py | taquin.py | taquin.py | py | 3,373 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "curses.A_REVERSE",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "curses.A_REVERSE",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "curses.A_REVERSE",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "cur... |
4392041881 | import json
import base64
import pymongo
import time
from json.encoder import JSONEncoder
from azure.storage.queue import (
QueueClient,
BinaryBase64EncodePolicy,
BinaryBase64DecodePolicy
)
azure_storage_account = None
mongo_connect = None
queue = "test"
queue = "general-image-2-crawl"
cookies ... | harveyaot/AlphaTaiBai | scripts/send_imageurl2crawl.py | send_imageurl2crawl.py | py | 2,867 | python | en | code | 24 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "azure.storage.queue.QueueClient.from_connection_string",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "azure.storage.queue.QueueClient",
"line_number": 25,
"usage_type": "name... |
22625649989 | import pygame
import random
import time
#飞机大战
#手机上单手操作游戏
#屏幕长方形
# **************************我方飞机
class Hero(object):
def __init__(self, _screen, _x, _y):
self.image = pygame.image.load("images\hero.gif")
self.rect = self.image.get_rect()
self.width = self.rect.width
self.height = se... | gaicigame99/GuangdongUniversityofFinance-Economics | airplaneWar/黄海辉/飞机大战.py | 飞机大战.py | py | 7,173 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
... |
4801788061 | from django.contrib.auth import get_user_model
from django.test import TestCase, Client
from django.urls import reverse
from django.utils import timezone
from manager.models import Task, TaskType
class TaskPublicTest(TestCase):
def test_task_list_public(self):
res = self.client.get(reverse("manager:task-... | kovaliskoveronika/task_manager | manager/tests/test_views_task.py | test_views_task.py | py | 3,088 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.c... |
74974903784 | """empty message
Revision ID: 3c8f0856b635
Revises: a7b5e34eac58
Create Date: 2018-02-24 13:05:25.721719
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3c8f0856b635'
down_revision = 'a7b5e34eac58'
branch_labels = None
depends_on = None
def upgrade():
# ... | LDouble/cernet_ipv6_server | migrations/versions/3c8f0856b635_.py | 3c8f0856b635_.py | py | 911 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
41852000033 | from flask import send_file, Flask, redirect, render_template, url_for
# from crypt import methods
import logging
from nltk.stem import WordNetLemmatizer
from fuzzywuzzy import fuzz
from nltk.corpus import wordnet
import nltk
from flask import send_from_directory, Flask, request, render_template, url_for, redirect, j... | Rohit-S-Singh/Research-Project | app.py | app.py | py | 9,288 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_n... |
16505504555 | from nltk.tag.hmm import *
import codecs
import statistics
import numpy as np
from sklearn.metrics import confusion_matrix
import metrics
from metrics import EditDistance
from hmm import HMM
from memm import MEMM
from crf_word import CRF as CRF_WORD
from crf_sentence import CRF as CRF_SENT
from rnn import Encoder as RN... | albert-shalumov/nlp_proj | test.py | test.py | py | 4,674 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "metrics.MicroAvg",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "metrics.Fscore",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "metrics.MacroAvg",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "metrics.Fscore",
... |
74027964263 | from mysql_connect import MysqlConnect
from s_config import config
import requests
import re
import json
import csv
import time
import random
def get_video_type(video_name):
res = re.findall(r'-(.*)-|_(.*)_', video_name)
if len(res):
for item in res[0]:
if item:
return item... | jercheng/js_video_scrapy | crawl/v_qq_com/data_base/t_main2.py | t_main2.py | py | 3,091 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.findall",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.session",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
18446560206 | # -*- coding: utf-8 -*-
"""
@author: DongXiaoning
"""
import numpy as np
import operator
import collections
import sklearn.datasets
# compute gini index
def compute_gini(group):
m,n = group.shape
data = group[:,:-1]
label = group[:,-1]
dict_label = collections.Counter(label)
group_... | xndong/ML-foundation-and-techniques | Decision stump/decision_stump.py | decision_stump.py | py | 3,428 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.Counter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.datasets.l... |
1528415930 |
import cv2
import tensorflow as tf
import numpy as np
import glob
import os
import time
import argparse
import configparser
from auto_pose.ae import factory, utils
parser = argparse.ArgumentParser()
parser.add_argument("experiment_name")
parser.add_argument("-f", "--file_str", required=True, help='folder or filena... | logivations/AugmentedAutoencoder | auto_pose/test/encoder_inference.py | encoder_inference.py | py | 2,190 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"l... |
770438494 | #Import libraries
import scipy.io as spio
from scipy import fftpack
import matplotlib.pyplot as plt
import numpy as np
#Process the dataset into samples
def process_positions(dataset, positions):
output_range = 10
classification_input = []
for position in positions:
lower = position - ... | khb00/peak_classifier_and_detector | TimeFreq.py | TimeFreq.py | py | 1,337 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scipy.fftpack.fft",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scipy.fftpack",
"line_number": 21,
"usage_type": "name"
}
] |
21121065737 | """File system hook for the S3 file system."""
from builtins import super
import posixpath
try:
import s3fs
except ImportError:
s3fs = None
from . import FsHook
class S3Hook(FsHook):
"""Hook for interacting with files in S3."""
def __init__(self, conn_id=None):
super().__init__()
s... | jrderuiter/airflow-fs | src/airflow_fs/hooks/s3_hook.py | s3_hook.py | py | 2,720 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "builtins.super",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "s3fs.S3FileSystem",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "s3fs.S3FileSystem",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "posixpath.dirname"... |
27502593085 | #!/usr/bin/env python
# coding: utf-8
# In[33]:
import pandas as pd
import streamlit as st
import requests
# In[34]:
username = 'ContainiumTE'
token = 'RRopW0EJvVEcfS5EGt1rxxswfGF5IfzU3Bh4VkPHS10'
github_session = requests.Session()
github_session.auth = (username,token)
# In[30]:
st.title("Discontinuity W... | ContainiumTE/discontinuity_refinement | Discontinuity_Selector.py | Discontinuity_Selector.py | py | 18,910 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.Session",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.se... |
3825597824 | """A setuptools based setup module.
See:
https://packaging.python.org/guides/distributing-packages-using-setuptools/
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
# Arguments marked as "Required" below must be... | kneczaj/android-emulator-docker | setup.py | setup.py | py | 1,553 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_... |
26299614326 |
### ===== Load libraries =====
from langchain.document_loaders.csv_loader import CSVLoader
from langchain.embeddings import CacheBackedEmbeddings, HuggingFaceEmbeddings
from langchain.vectorstores import FAISS
from langchain.storage import LocalFileStore
from langchain.text_splitter import TokenTextSplitter
from lang... | Valkea/Omdena_Falcon | deployment02/backend/llm_setup.py | llm_setup.py | py | 5,289 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "locale.getpreferredencoding",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "langchain.document_loaders.csv_loader.CSVLoader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "langchain.text_splitter.TokenTextSplitter",
"line_number": 3... |
74197853543 | from collections.abc import Iterable
from circkit import Circuit, Operation, Node
import logging
log = logging.getLogger("Transformer")
class Transformer:
"""Base transformer class."""
START_FROM_VARS = False
source_circuit: Circuit = None
current_node: Node = None
current_operation: Operation... | hellman/ches2022wbc | circkit/transformers/core.py | core.py | py | 5,704 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "circkit.Circuit",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "circkit.Node",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "circkit.Operation",
... |
8828088539 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import cv2
import math
import numpy as np
class trackerPoint(object):
def __init__(self, x, y, size, frame):
# KCF tracker init
self.tracker = cv2.TrackerKCF_create()
self.bbox = (x-size/2, y-size/2, size,size)
self.tracker.init(frame, self.bbo... | ThibaudMZN/GeneralWork | ArmAngleCalculation/ArmAngle.py | ArmAngle.py | py | 3,041 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.TrackerKCF_create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_nu... |
69889167786 | import torch
import torch.nn as nn
from attention import MultiheadedAttention
from feed_forward import PositionWiseDenseNetwork, LayerNorm
class DecoderBlock(nn.Module):
def __init__(self,
key_dim: int = 64,
embedding_dim: int = 512,
heads_number: int = 8,
... | KolodziejczykWaldemar/Transformers | decoder.py | decoder.py | py | 4,651 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "attention.MultiheadedAttention",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "feed_forwa... |
21871433231 | import jieba,re
#去除标点
def get_text(file_name):
with open(file_name, 'r', encoding='utf-8') as fr:
text = fr.read()
#删除的标点
del_ch = ['《','，','》','\n','。','、','；','"',\
'：',',','！','？',' ']
for ch in del_ch:
text = text.replace(ch,'')
return text
file_name = 'comment.txt'
... | 2412322029/bilibili-spyder | 词频.py | 词频.py | py | 1,370 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "jieba.lcut",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 43,
"usage_type": "call"
}
] |
27541539070 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Travis Anderson"
"""
This is for contacting twitter, and watching a specific user or word
"""
import logging
import tweepy
import time
import os
import datetime
from threading import Thread
import threading
logger = logging.getLogger(__name__)
exit_flag =... | tander29/backend-slackbot | twitbot.py | twitbot.py | py | 4,752 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tweepy.StreamListener",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.gete... |
32886590499 | import discord
from discord.ext import commands
from discord.ui import Select, View
from discord.ext.commands import bot
from discord import app_commands
class Select(discord.ui.Select):
def __init__(self):
options=[
discord.SelectOption(label="НАВИГАЦИЯ: команды до игры", value="1", emoji="📜", description="Ком... | FoxSweets/PhasmoBot | cogs/help.py | help.py | py | 3,732 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "discord.ui",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.SelectOption",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.SelectOption",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.Sele... |
37591561830 | #!/usr/bin/env python
'''
Rutgers Data Science Homework Week 3, Assignment #1
To run this script:
pybank.py [--summary_file=SUMMARY_FILE] input_file_1 input_file_2 ...
<Chan Feng> 2018-02
'''
import os
import csv
from argparse import ArgumentParser
_SUMMARY_FILE = 'pybank_summary.txt'
_SUMMARY_... | feng443/RUDSWeek3 | PyBank/pybank.py | pybank.py | py | 3,904 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"l... |
74229865385 | import configparser
from pathlib import Path
from flask import Flask
from flask_restful import Resource, Api
import sqlite3
from todo import DB_WRITE_ERROR, SUCCESS
DEFAULT_DB_FILE_PATH = Path.cwd().joinpath(
"." + Path.cwd().stem + "_todo.db"
)
def get_database_path(config_file: Path) -> Path:
"""Return th... | CR-Lough/todo_app | core/src/todo/database.py | database.py | py | 1,220 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line... |
19665159792 | from flask import Flask, render_template
from flask.ext.sqlalchemy import SQLAlchemy
from flask.ext.security import Security, SQLAlchemyUserDatastore, UserMixin, RoleMixin, login_required, current_user, AnonymousUser, roles_required
from flask.ext.security.utils import *
from flask.ext.security.confirmable import *
fro... | rparikh42790/roverpass1 | kickstart.py | kickstart.py | py | 2,047 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.ext.sqlalchemy.SQLAlchemy",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.ext.login.LoginManager",
"line_number": 49,
"usage_type": "call"
}
] |
71648501864 |
from PIL import Image, ImageDraw
import random as rd
import imageio
def create_simple_tile(size: int, bg_color:str, fg_color: str) -> Image:
tile_img = Image.new("RGB", (size, size))
tile_img_draw = ImageDraw.Draw(tile_img)
tile_img_draw.rectangle([(0, 0), (size, size)], fill = bg_color)
tile_img_draw... | antigones/py-truchet | truchet.py | truchet.py | py | 1,782 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.new",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_num... |
27031060369 | import subprocess
import sys
import json
from workflow import Workflow3
log = None
GITHUB_SLUG = 'tilmanginzel/alfred-bluetooth-workflow'
def _read_devices():
proc = subprocess.Popen(['./blueutil', '--paired', '--format=JSON'], stdout=subprocess.PIPE)
devices_raw = json.loads(proc.stdout.read())
blueto... | tilmanginzel/alfred-bluetooth-workflow | alfred_bluetooth_workflow.py | alfred_bluetooth_workflow.py | py | 1,825 | python | en | code | 188 | github-code | 36 | [
{
"api_name": "subprocess.Popen",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "workflow.Workflow3",... |
10495520006 | from django.test import TestCase
from djlotrek.templatetags.djlotrek_filters import (
key,
is_in,
is_not_in,
get_class,
get_sorted,
media_url,
regex_match,
)
class TemplateFiltersTestCase(TestCase):
def test_key(self):
"""
templatefilter key is use for get value from d... | lotrekagency/djlotrek | tests/test_templatefilters.py | test_templatefilters.py | py | 2,463 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "djlotrek.templatetags.djlotrek_filters.key",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "djlotrek.templatetags.djlotrek_filters.key",
"line_number": 23,
"usage_ty... |
37502296937 | # https://school.programmers.co.kr/learn/courses/19344/lessons/242261
from collections import deque
dire = [[-1, 0], [1, 0], [0, -1], [0, 1]]
def CHECK(a, b, g):
return not (0 <= a < len(g) and 0 <= b < len(g[0]))
def BFS(graph, visit, RB):
global answer
que = deque()
RB.extend([0, False, False])
... | junsgi/Algorithm | BFS_DFS/기출문제 4번_BFS.py | 기출문제 4번_BFS.py | py | 2,756 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
3521482660 | import pytest
import yaml
from meltano.core.behavior.canonical import Canonical
definition = {
# a, b, …, z
chr(ord("a") + i): i if i % 2 else None
for i in range(10)
}
class TestCanonical:
@pytest.fixture
def subject(self):
return Canonical(**definition)
def test_canonical(self, sub... | learningequality/meltano | tests/meltano/core/behavior/test_canonical.py | test_canonical.py | py | 3,836 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "meltano.core.behavior.canonical.Canonical",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "yaml.dump",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
26510682653 | #!/usr/bin/python3
# ***** BEGIN GPL LICENSE BLOCK *****
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This pro... | patins1/raas4emf | build/mac/blender/blender.app/Contents/MacOS/2.64/scripts/modules/bl_i18n_utils/clean_po.py | clean_po.py | py | 3,338 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "settings.TRUNK_PO_DIR",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "settings.BRANCHES_DIR",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "utils.parse_messages",
"line_number": 42,
"usage_type": "call"
},
{
"api_na... |
32138192143 | import discord
from discord.ext import commands
import response
import re
import logging
from get_token import get_token
imageKWS = ['img','imgs','image','images','pic','pics','pictures','picture']
class botName(commands.Bot):
intents = discord.Intents.default()
def __init__(self):
super().__init__(command_... | benwen2511/chatGBT-discord-bot | main.py | main.py | py | 2,311 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.Intents.default",
"line_number": 11,
"usage_type": "call"
},
{
"api_na... |
7504092122 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.common.exceptions import WebDriverException
import time
from django.test import LiveServerTestCase
MAX_WAIT = 10
class NewVisitorTest(LiveServerTestCase):
'''New visitor test'... | ollko/tdd_book | functional_tests/tests.py | tests.py | py | 2,043 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.LiveServerTestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_... |
21200837689 | # coding: utf-8
import websocket
from threading import Thread
import time
from secrets import token_hex
from hashlib import sha256
import hmac
import json
class RealtimeAPIWebsocket:
def __init__(self, logger, parameters, public_handler, private_handler):
self.logger = logger
self._parameters = pa... | PP-lib/BFS | BFS-X/libs/realtimeapi.py | realtimeapi.py | py | 5,448 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "secrets.token_hex",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 2... |
70714190504 | #!/usr/bin/env python
# coding: utf-8
# ## Import des librairies
# In[2]:
import numpy as np
import pandas as pd
from pandas_profiling import ProfileReport
import matplotlib.pyplot as plt
import plotly.offline as py
import seaborn as sns
import plotly.graph_objs as go
import plotly
import plotly.figure_factory as ... | bg-mohamed/RFS677-Y | Machine Learning/Machine_Learning_Classification.py | Machine_Learning_Classification.py | py | 31,870 | python | fr | code | 1 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pandas.concat... |
29226135271 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
from pymongo import MongoClient
import numpy as np
from tqdm import tqdm
def insertInfo(df):
client = MongoClient('mongodb://localhost:27017/')
infodb = client.Infodb
userInfo = infodb.userInfo
for index, instance in tqdm(df.iterrows(), total=df.sha... | inhye6-6/project_face_authentication | connect_db.py | connect_db.py | py | 1,131 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.frombuffer",
... |
71578894183 | #!/usr/bin/env python
from __future__ import print_function
import vtk
def main():
# Create a square in the x-y plane.
points = vtk.vtkPoints()
points.InsertNextPoint(0.0, 0.0, 0.0)
points.InsertNextPoint(1.0, 0.0, 0.0)
points.InsertNextPoint(1.0, 1.0, 0.0)
points.InsertNextPoint(0.0, 1.0, 0.0... | lorensen/VTKExamples | src/Python/GeometricObjects/PolygonIntersection.py | PolygonIntersection.py | py | 1,059 | python | en | code | 319 | github-code | 36 | [
{
"api_name": "vtk.vtkPoints",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "vtk.vtkPolygon",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "vtk.mutable",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "vtk.mutable",
"line_numbe... |
21546274042 | #!/Users/shounak/anaconda3/bin/python3
#This program plots histograms to depict genome-wide methylation patterns
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import argparse
import matplotlib
import matplotlib.axes
matplotlib.rcParams['font.family']="monospace"
matplotlib.rcParams['font.monosp... | lanl/DNA_methylation_analysis | Genome_meth_ratio_distribution histograms.py | Genome_meth_ratio_distribution histograms.py | py | 2,883 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_nam... |
18764507379 | """
Given a list of UQ course codes, crawl the UQ course website and scrape
information pertaining to said course.
"""
import sys
import requests
from bs4 import BeautifulSoup
# Headers for making web requests look like a real user (or they may be
# rejected by the UQ website)
headers = requests.utils.default_headers... | tompoek/uq-course-prereqs-viz | data-crawler/crawl.py | crawl.py | py | 1,826 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.utils.default_headers",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.utils",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.... |
39398980966 | # Python Project B
# Multinomial Naive Bayes
# By
# Valdar Rudman
# R00081134
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
import matplotlib.pyplot as plt
import numpy as np
# Read a file in and split on the white space
def readFile(source):
return open(source).read... | ValdarRudman/Multinomial-Naive-Bayes | Multinomial Naive Bayes.py | Multinomial Naive Bayes.py | py | 5,233 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 33,
"usage_type": "call"
},
{
"api... |
933471323 | import abc
from neutron import quota
from neutron.api import extensions
from neutron.api.v2 import attributes as attr
from neutron.api.v2 import resource_helper
from neutron.common import exceptions as qexception
from neutron.plugins.common import constants
UOS_SERVICE_PROVIDER = 'uos:service_provider'
UOS_NAME = 'u... | CingHu/neutron-ustack | neutron/extensions/uosfloatingipset.py | uosfloatingipset.py | py | 6,685 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "neutron.api.v2.attributes._validate_dict_or_none",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "neutron.api.v2.attributes",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "neutron.api.v2.attributes.convert_to_list",
"line_number": 29... |
29423648678 | import logging
from collections import namedtuple, defaultdict
from copy import deepcopy
from dataclasses import dataclass, field
from typing import List, Tuple
import numpy as np
import networkx as nx
import parmed as pm
from IPython.display import display, SVG
from rdkit import Chem
from rdkit.Chem import AllChem, D... | wiederm/transformato | transformato/mutate.py | mutate.py | py | 90,744 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "rdkit.Chem.Draw.IPythonConsole.molSize",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rdkit.Chem.Draw.IPythonConsole",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rdkit.Chem.Draw.IPythonConsole.ipython_useSVG",
"line_number": 17,... |
21054969908 | import numpy as np
from scipy.special import logsumexp, gammaln
from astropy import constants, units as au
from astropy.units import Quantity
Gauss = 1e-4 * au.T
au.set_enabled_equivalencies(au.dimensionless_angles())
def pad_with_absorbing_boundary_conditions(k2, k02, N, *coords, dn_max=0.05):
if dn_max is None... | Joshuaalbert/born_rime | born_rime/potentials.py | potentials.py | py | 7,396 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "astropy.units.T",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "astropy.units.set_enabled_equivalencies",
"line_number": 7,
"usage_type": "call"
},
{
"api_name"... |
8445188718 |
import operator
import cupy
from cupy._core import internal
from cupy._core._scalar import get_typename
from cupyx.scipy.sparse import csr_matrix
import numpy as np
TYPES = ['double', 'thrust::complex<double>']
INT_TYPES = ['int', 'long long']
INTERVAL_KERNEL = r'''
#include <cupy/complex.cuh>
extern "C" {
__glob... | cupy/cupy | cupyx/scipy/interpolate/_bspline.py | _bspline.py | py | 29,962 | python | en | code | 7,341 | github-code | 36 | [
{
"api_name": "cupy.RawModule",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "cupy.RawModule",
"line_number": 172,
"usage_type": "call"
},
{
"api_name": "cupy.RawModule",
"line_number": 202,
"usage_type": "call"
},
{
"api_name": "cupy._core._scalar.get... |
29752329020 | # days to seconds, hours to minutes
# to repr an interval of time,create timedelta instance like this
from datetime import timedelta
a = timedelta(days=2, hours=6)
b = timedelta(hours=4.5)
c = a + b
print(c.days)
print(c.seconds)
print(c.seconds / 3600)
print(c.total_seconds() / 3600)
from datetime import datetime
... | pranavchandran/redtheme_v13b | chapter_2_strings_and_text/days_to_seconds/days_to_seconds_other.py | days_to_seconds_other.py | py | 1,950 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.timedelta",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.timede... |
39253734345 | from functools import reduce
from collections import Counter
import math
import operator
import numpy as np
class SpamHamClassifier(object):
def __init__(self, training_data, vocabulary_size,
compute_mutual_information, lambda_constant=0):
self._num_training_data = len(training_data)
... | jvmsangkal/spam-filter-py | spamfilter/classifier.py | classifier.py | py | 6,440 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "collections.Counter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collectio... |
42886474434 | import logging
from json import JSONDecodeError
from typing import Dict, Any
import requests
from .exceptions import TrefleException
from .models import Result
class RestAdapter:
def __init__(self, token: str,
logger: logging.Logger = None):
"""
Constructor for RestAdapter
... | Overlrd/trefle | src/trefleapi/rest_adapter.py | rest_adapter.py | py | 2,929 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.Logger",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "requests.request",
... |
5255273641 | import os
from re import I
import sys
from openpyxl import Workbook
from openpyxl.styles import Border, Side, PatternFill, Font, Alignment
from datetime import datetime
sys.path.insert(0, os.path.abspath('..\\pycatia'))
from pycatia import catia
from pycatia.enumeration.enumeration_types import cat_work_mode_type
ca... | kang851216/CATIA_macro | manufacturing and process list_adding drawing list_test.py | manufacturing and process list_adding drawing list_test.py | py | 24,204 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.insert",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
35865754669 | """
no longer needed since pointnet2_ssg_cls can provide this form
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
import sys,os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = os.path.dirname(os.path.dirname(BASE_DIR))
sys.path.append(ROOT_DIR)
sys.path.append(os.path.join(ROO... | PointCloudYC/PointNet-modern.pytorch | models/pointnet2/pointnet2_msg_cls.py | pointnet2_msg_cls.py | py | 1,339 | python | en | code | 3 | github-code | 36 | [
{
"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": "os.path.dirname",
"line... |
73881080745 | from flask import Flask, request
import json
from jwt.exceptions import JWTException
from jwt.jwt import JWT
from jwt.jwk import OctetJWK
def login(app: Flask):
@app.post("/api/auth/login")
def test():
reqest_data = request.get_json()
try:
jwt = JWT()
login = reqest_dat... | Axime/Aska2.0 | server/routes/auth/login.py | login.py | py | 1,121 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.request.get_json",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "jwt.exceptions",
... |
3204081333 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 1 21:36:27 2019
@author: Rodrigo
"""
import csv
import sqlite3
e = csv.writer(open('output.csv', 'w'))
e.writerow(['cpf','UC'])
conn = sqlite3.connect('enel.db')
cursor = conn.cursor()
# lendo os dados
cursor.execute("""
SELECT * FROM enel;
""")
f... | rasiqueira/enel | bd.py | bd.py | py | 409 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.writer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 13,
"usage_type": "call"
}
] |
31628499109 | import traceback
import sys
from discord.ext import commands
import discord
class ErrorHandler(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_command_error(self, ctx, error):
if hasattr(ctx.command, 'on_error'):
return
igno... | docgonzo2015/Botler-discord-bot | cogs/errors.py | errors.py | py | 1,104 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.CommandNotFound",
"line_number": 15,
"usage_type": "attribute"
},... |
27980759583 | """
Simulated Annealing Class
"""
import pickle
import random
import math
import numpy as np
import sklearn
import pandas as pd
import configparser
import random
from pathlib import Path
import joblib
from Utils.attack_utils import get_constrains
from Models.scikitlearn_wrapper import SklearnClassifier
from Utils.da... | adiashk/search_AI_project | Simulated_Annealing.py | Simulated_Annealing.py | py | 17,737 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "numpy.linspac... |
9993622660 | import json
from django.core.management import call_command
from django.core.management.base import BaseCommand
from people.models import Person, Address
class Command(BaseCommand):
help = 'Loads sample data into the database'
def handle(self, *args, **options):
# Clear the database
call_comm... | finlay422/challenge_project | people/management/commands/load_sample_data.py | load_sample_data.py | py | 734 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.core.management.call_command",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
... |
36568920733 | from django.urls import path, re_path
from . import views
app_name = 'adminapp'
urlpatterns = [
path('', views.login, name='login'),
path('category/add/', views.add_category, name='add_category'),
path('article/add/', views.add_post),
path('article/list/', views.post_list),
path('category/list/', v... | MicroPyramid/ngo-cms | admin/urls.py | urls.py | py | 2,514 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
35648526405 | from src.knowledge_graph import KGEntity, KGProperty
from .kgqa_dataset import KGQADataSet
from .kgqa_data import KGQAData
from typing import List
import logging
import json
class Mintaka(KGQADataSet):
def load(self, path: str) -> List[KGQAData]:
datasets: List[KGQAData] = []
with open(path, enco... | bumsikki/KAPPR | src/dataset/mintaka.py | mintaka.py | py | 1,837 | python | en | code | null | github-code | 36 | [
{
"api_name": "kgqa_dataset.KGQADataSet",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "kgqa_data.KGQAData",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.load",
... |
3843330309 | import numpy
import numpy as np
import pandas as pd
import pygad
import tlsh
import json
from tools import featurer
import sys
import csv
import tensorflow as tf
from tensorflow import keras
from keras import layers
import filenames_modified as filenames
MALWAREIDX = int(sys.argv[1])
BATCH_SIZE = 10
# print(MALWAREID... | ZsZs88/Poisoning | genetic_modified.py | genetic_modified.py | py | 7,404 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "filenames_modified.arm_training",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pa... |
23108069207 | from flask import Flask, app
from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
# init SQLAlchemy so we can use it later in our models
db = SQLAlchemy()
def create_app():
application = Flask(__name__)
application.config['SECRET_KEY'] = '9OLWxND4o83j4K4iuopO'
application.config['... | peastuti/sb-admin-2-flask-login | project/__init__.py | __init__.py | py | 946 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_login.LoginManager",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models... |
7773371889 | import random
import time
from pathlib import Path
from typing import Any
import numpy as np
from midi.decode import get_array_of_notes
from midi.encode import get_file_from_standard_features
from models.music_model import MusicModel, ProgressCallback, ProgressMetadata
class MarkovChain(MusicModel):
n_gram_size... | piotrowskv/music_generation | models/models/markov_chain/markov_chain.py | markov_chain.py | py | 6,790 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.music_model.MusicModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "models.mu... |
71877366824 | #!/usr/bin/env python
# coding: utf-8
import sys
import io
import json
import numpy as np
from matplotlib import pyplot as plt
from tensorflow import keras
import tensorflow as tf
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
from pathlib import Path
import cv2
import... | DanilKonon/Seismic_Data_Inpainting | unet_autoencoder.py | unet_autoencoder.py | py | 22,825 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.compat.v1.ConfigProto",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.InteractiveSession",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tensorflow.test.is_gpu_available",
"line_number": 34,
"usage_typ... |
2286169944 | """
Created on Sat Sep 25 00:00:00 2018
@author: Nikhil
"""
"""
If you have any questions or suggestions regarding this script,
feel free to contact me via nikhil.ss4795@gmail.com
"""
# Polynomial Regression
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
#... | Nikhil4795/Polynomial_Linear_Regression | Polynomial_regression_2/polynomial_regression.py | polynomial_regression.py | py | 1,854 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplotli... |
8460276839 | from time import sleep
from appium import webdriver
from appium.webdriver.common.mobileby import MobileBy
from appium.webdriver.extensions.android.gsm import GsmCallActions
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
class TestBrowser():
de... | yyw15910852287/hogwarts_appium | 交互api/test_jiaohu.py | test_jiaohu.py | py | 1,876 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 32,
"usage_type": "name"
}
] |
40961448639 | # coding: utf-8
import itertools
import re
from simpleai.search import (backtrack, CspProblem, LEAST_CONSTRAINING_VALUE,
min_conflicts, MOST_CONSTRAINED_VARIABLE)
largos = {
'1H': 2, '2H': 3, '4H': 2, '5H': 2, '7H': 2, '8H': 2, '10H': 3, '11H': 2,
'1V': 2, '2V': 2, '3V': 3, '4V': ... | ucse-ia/ucse_ia | practicas/crucigramas.py | crucigramas.py | py | 5,727 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "simpleai.search.CspProblem",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "simpleai.se... |
27040895007 | import argparse
import auxil.mydata as mydata
import auxil.mymetrics as mymetrics
import gc
import tensorflow as tf
import keras.backend as K
from keras.callbacks import ModelCheckpoint
from keras.models import load_model
from keras.losses import categorical_crossentropy
from keras.layers import *
from keras.models imp... | deeplearning2020/comparison | algorithms/proposed.py | proposed.py | py | 7,971 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.multiply",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "keras.models.Model",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "keras.optimizers.Adam",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "argparse... |
39974821125 |
# USAGE
# python align_faces.py --shape-predictor shape_predictor_68_face_landmarks.dat --image images/example_01.jpg
# import the necessary packages
from imutils.face_utils import FaceAligner
from imutils.face_utils import rect_to_bb
import argparse
import imutils
import dlib
import cv2
# construct the argument par... | juanluisrosaramos/dataset_tuning | align_faces.py | align_faces.py | py | 1,729 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "dlib.shape_predictor",
"line_number": 24,
"usage_type": "call"
},
{
"api_n... |
41907946588 | import torch
import torch.nn as nn
class CNN(nn.Module):
def __init__(self):
super(CNN, self).__init__()
self.conv_1 = self._con_dw_sep(3, 16)
self.conv_2 = self._con_dw_sep(16, 32)
self.conv_3 = self._con_dw_sep(32, 64)
self.fc1 = nn.Linear(10816, 512)
sel... | CSID-DGU/2022-2-SCS4031-EZ_SW | age_prediction_model/model.py | model.py | py | 1,212 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
14566552628 | from django.contrib.auth.models import User
from django.db import models
import cover.models
from documents.models import (Book, Chunk, Image, BookPublishRecord,
ImagePublishRecord)
from documents.signals import post_publish
from dvcs.signals import post_publishable
def book_changed(sender, instance, created,... | fnp/redakcja | src/documents/models/listeners.py | listeners.py | py | 1,794 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "django.db.models.signals.post_save.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.db.models.signals",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 14,
"usage_type": "name"
},
... |
11476729859 | """AD&D Second Edition Combat Simulator"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='u... | gene1wood/adnd2e-combat-simulator | setup.py | setup.py | py | 1,409 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number":... |
17884750945 | import pprint
import threading
from typing import Dict, TYPE_CHECKING
from PySide2.QtWidgets import QTabWidget, QTextBrowser, QWidget
from lib.comm import get_var, set_var
from widgets import PMTableView, PMGTableWidget, PMDockObject, PMGTableViewer, PMGJsonTree
if TYPE_CHECKING:
from lib.extensions.extensionlib.... | pyminer/pyminer | pyminer/packages/workspace_inspector/data_viewer.py | data_viewer.py | py | 8,746 | python | en | code | 77 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "widgets.PMGTableViewer",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "widgets.PMGTableViewer.__init__",
"line_number": 38,
"usage_type": "call"
},
{
"api_na... |
23701537076 | import argparse
import os
import shutil
import numpy as np
import torch
import torchvision
from torch import nn as nn
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import Dataset, DataLoader
from tqdm import tqdm
import helpers
from dcgan import generators, discriminators
from dcgan.train_con... | dfridman1/GANs | dcgan/train.py | train.py | py | 7,028 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "dcgan.train_config.TrainConfig",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name":... |
5515862018 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os
from vgg import load_pretrained_VGG16_pool5
import cifar10_utils
import tensorflow as tf
import numpy as np
LEARNING_RATE_DEFAULT = 1e-4
BATCH_SIZE_DEFAULT = 128
MAX_STEPS_DEFAULT = 1... | frhrdr/dlc2016 | practical_3/retrain_vgg.py | retrain_vgg.py | py | 10,700 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tensorflow.train.AdamOptimizer",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "tensorflow.train",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.name_scope",
"line_number": 50,
"usage_type": "call"
},
{
"api_na... |
410387277 | """gistandard URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | RobbieHan/gistandard | gistandard/urls.py | urls.py | py | 4,296 | python | en | code | 546 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "xadmin.site",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "django.conf.urls.url",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.vie... |
34846072669 | #!/usr/bin/env python
# coding: utf-8
# refer to https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/
#
# to tune parameters
# refer to http://yangguang2009.github.io/2017/01/08/deeplearning/grid-search-hyperparameters-for-deep-learning/
# In[1]:
from __future__ import print_functio... | dxcv/TradingAlgo | Multi-LSTM/LSTMsinKeras-VirtualCurrency-Simple.py | LSTMsinKeras-VirtualCurrency-Simple.py | py | 7,561 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.DataFram... |
15868980621 | from collections import deque
import sys
dx = [1,-1,0,0]
dy = [0,0,-1,1]
def iswall(x,y):
if x<0 or y<0 :
return False
if x >= n or y >= m :
return False
if matrix[x][y] == 0 : # 방문한 경우
return False
return True # 그 외의 경우
def bfs(x,y):
queue = deque()
print(queue)
q... | HYEONAH-SONG/Algorithms | 파이썬 알고리즘 인터뷰/미로탈출.py | 미로탈출.py | py | 815 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
}
] |
74491447145 | import time
import json
import datetime
invalid = "\n--Invalid response, please try again.--"
scheduleFile = "schedule.json"
assignmentFile = "assignment.json"
def load():
for i in range(0, 40):
time.sleep(0.00000000000001)
print("-", end='', flush=True)
print()
def unload():
for i in ran... | BenVN123/PythonScheduler | scheduler.py | scheduler.py | py | 8,943 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 61,
... |
32766043528 | #!/urs/bin/python
#-*- coding:utf8 -*-
from bs4 import BeautifulSoup as bs
import urllib
import re
import json
import os
def get_musicid(url):
#url='http://music.baidu.com/top/dayhot'
html = urllib.urlopen(url).read()
soup = bs(html,'lxml',from_encoding='utf8')
urls = soup.findAll('a',href=re.compile(r'/so... | carloszo/Carlos_python | Crawler/BaiduMusicCrawler.py | BaiduMusicCrawler.py | py | 1,916 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.urlopen",
"lin... |
27037909109 | import torch
from torch import nn
from fuxictr.pytorch.models import MultiTaskModel
from fuxictr.pytorch.layers import FeatureEmbedding, MLP_Block
class SharedBottom(MultiTaskModel):
def __init__(self,
feature_map,
model_id="SharedBottom",
gpu=-1,
... | xue-pai/FuxiCTR | model_zoo/multitask/SharedBottom/src/SharedBottom.py | SharedBottom.py | py | 3,155 | python | en | code | 671 | github-code | 36 | [
{
"api_name": "fuxictr.pytorch.models.MultiTaskModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "fuxictr.pytorch.layers.FeatureEmbedding",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "fuxictr.pytorch.layers.MLP_Block",
"line_number": 35,
"usage... |
473540501 | #!/usr/bin/env python
import musescore_parser as mp
import sys
from fractions import Fraction
from dataclasses import dataclass, field
from typing import Optional
import re
#https://github.com/OpenLilyPondFonts/lilyjazz/blob/master/JazzSampler.pdf
@dataclass
class Base:
def __post_init__(self):
print("%... | duhovniprojekt/duhovne_pjesme_novi_sad_1966 | scripts/new/lilypond_generator.py | lilypond_generator.py | py | 27,495 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "fractions.Fraction",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Optio... |
25209486610 | #!/usr/local/bin/python3
import socket
import struct
import crcmod
#from dataservice.datawave_produce.waveproduce import sin_wave,triangle_wave
import random
def crccreate(b,length):
crc16_func = crcmod.mkCrcFun(0x18005, initCrc=0xFFFF, rev=True, xorOut=0x0000)
return crc16_func(b[0:length])
def crccheckhole(... | Scottars/nis_website | dataservice/epicsrelated/simulate2.py | simulate2.py | py | 2,560 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "crcmod.mkCrcFun",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "crcmod.mkCrcFun",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "crcmod.mkCrcFun",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"lin... |
1925887546 | #!/bin/python
import collections
import os
import re
import subprocess
import time
GHOSTLY_PATH = '/usr/bin/ghostly'
ALLIE_DBG = '../target/debug/allie'
# Old versions
ALLIE_1_1 = './bin/allie_v1.1'
ALLIE_1_0 = './bin/allie_v1.0'
ALLIE_0_9 = './bin/allie_v0.9'
ALLIE_0_8 = './bin/allie_v0.8'
ALLIE_0_7 = './bin/allie... | Kwarf/Allie-2017 | benchmarker/bench.py | bench.py | py | 2,332 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
... |
40978312177 | # pylint: disable=E0401,E0611
import os
import json
script_dir = os.path.dirname(__file__)
from helpers.DataService import DataService
from models.InputData import InputData
from models.OutputData import OutputData
from models.DataResult import DataResult
from models.Encoder import Encoder
from models.Decoder import ... | AtLeastITry/seq2seq-keras-chatBot | train.py | train.py | py | 2,470 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.GPUOptions",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",... |
38449435175 | #!/usr/bin/env python
import rospy
from std_msgs.msg import String
from move_base_msgs.msg import MoveBaseGoal
from move_base_msgs.msg import MoveBaseAction
import re
from Command import Command
from Queue import Queue
import actionlib
from tf import transformations
from geometry_msgs.msg import Quaternion
from sound_p... | elmdecoste/ros_advanced_voice | scripts/speech_queue.py | speech_queue.py | py | 2,950 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rospy.init_node",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rospy.Rate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rospy.Subscriber",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "std_msgs.msg.String",
... |
15871926331 | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import os
def read_image(image):
return mpimg.imread(image)
def format_image(image):
return tf.image.resize(image[tf.newaxis, ...], [224, 224]) / 255.0
def get_category(img):
"""Write a Function... | FourthBrain/Intro-to-Flask | inference.py | inference.py | py | 1,815 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "matplotlib.image.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tensorflow.image.resize",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensor... |
35623428711 | from django.urls import path
from .views import *
app_name = "Mentor"
urlpatterns = [
path("", view=MentorListView.as_view(), name="listar y crear mentores"),
path("user/", view=MentorByUserRUD.as_view(), name="traer mentor por id de usuario"),
path("<int:pk>/", view=MentorRUDView.as_view(), name="Obtener,... | DiegoStevenVera/MentorTic | apps/mentor/urls.py | urls.py | py | 554 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
36887287548 | from flask import Flask, request
from . import db
app = Flask(__name__)
@app.route("/api/message", methods=["GET"])
def get_random_message():
"""Return a random message to play the part of 'message in a bottle'."""
return { "content": db.get_random_message() }
@app.route("/api/message", methods=["POST"])
d... | mshenfield/swellnote | swellnote/__init__.py | __init__.py | py | 584 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
}
] |
29772321096 | import unittest
import HtmlTestRunner
from selenium import webdriver
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
class Lo... | degea78/Bitdefender | test-bitdef/testCases/testBitdef.py | testBitdef.py | py | 2,917 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "s... |
18405451718 | #!/usr/bin/env python3
import boto3
import argparse
import os
import base64
from common_functions import getAllInstances, getDynamoDBItems
from common_jenkins import triggerJob
from common_kms import get_plaintext_key
parser = argparse.ArgumentParser()
parser.add_argument("-e", "--env", help="Staging or Production", ... | trtruong/utilities | scripts/python/checkOrphanedInstances.py | checkOrphanedInstances.py | py | 4,165 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "boto3.Session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
... |
35855718282 | from __future__ import print_function
import scrapy
from scrapy.http.cookies import CookieJar
from scrapy.spiders import CrawlSpider, Rule
from scrapy.selector import Selector
from scrapy.http import Request,FormRequest
from mytest.items import myItem
class mySpider(scrapy.Spider):
name = "myspider"
allowed_... | zhengwuyang/notes | Testcode/Scrapytest/mytest/spiders/my_spider.py | my_spider.py | py | 2,289 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mytest.items.myItem",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "mytes... |
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