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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70879461628 | import collections
import re
from dataclasses import dataclass
@dataclass
class Claim:
claim_id: int
x: int
y: int
width: int
height: int
_PARSE_REGEX = re.compile(r"#(\d+) @ (\d+),(\d+): (\d+)x(\d+)")
@staticmethod
def parse(claim: str):
match = Claim._PARSE_REGEX.match(clai... | cj81499/advent-of-code | src/aoc_cj/aoc2018/day03.py | day03.py | py | 1,294 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aocd.data",
... |
71560597309 | # Garrett O'Hara
# REDID: 822936303
# CS 578: Wireless Networks
# Dr. Wang
import os
import sys
import json
import socket
import traceback
import threading
FORMAT = "utf-8"
TERMINATE = False
PACKET_SIZE = 1024
SERVER_SOCKET = None
DISCONNECT = "!DISCONNECT"
def get_connection_data():
data = {}
with open('d... | GarrettOHara/NetworkThroughputMeasureTool | Sender.py | Sender.py | py | 3,170 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "socket.error",
"line_... |
4313260430 | from django.shortcuts import render
# Create your views here.
from unsers.models import BookInfo
from django.views import View
from django.http.response import JsonResponse
from unsers.serializer import BookInfoSerializer
class BookInfoView(View):
def post1(self,request):
serializer = BookInfoSerializer(d... | woainia2/python | drfdemo/unsers/views.py | views.py | py | 1,439 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "unsers.serializer.BookInfoSerializer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.http.response.JsonResponse",
"line_number": 17,
"usage_type": "call"
},
... |
25359328155 | # -*- coding: utf-8 -*-
import scrapy
import street_food.tools.somastreatfoodpark_tools as tools
from street_food.items import StreetFoodDatTimeItem
import street_food.tools.basic_tools as basic_tools
from scrapy import Request
class SomastreatfoodparkSpider(scrapy.Spider):
name = "somastreatfoodpark"
allowed... | kirimaks/street-food-scraper | street_food/street_food/spiders/somastreatfoodpark.py | somastreatfoodpark.py | py | 3,279 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scrapy.Spider.__init_... |
19272019559 |
import tool
import itertools
import random
from argparse import ArgumentParser
def get_option():
argparser = ArgumentParser()
argparser.add_argument("--trr","--trajectory",type=str,help="path of trr")
argparser.add_argument("--pdb","--protein",type=str,help="path of pdb")
argparser.add_argum... | satoshi-python/Desktop | pdb_for_msm.py | pdb_for_msm.py | py | 1,494 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tool.MD_to_pdb_chain",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 52,
"usage_type": "call"
}
] |
2235969872 | #!/usr/bin/python3
import os
import time
import requests
import zipfile
import shutil
import sys
import datetime
requests.packages.urllib3.disable_warnings()
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
class APIPATH:
#... | twotigers0608/test_python | jenkins_android/Auto_BAT-bender/auto_img.py | auto_img.py | py | 18,082 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 12,
"usage_... |
1558116814 | import pygame
import pygame.gfxdraw
import random
from typing import List
import core
from core import app, sprite, text
import game
class DemoState(app.State):
def __init__(self, engine: app.Engine):
super().__init__(engine)
self.scene = game.Scene(engine)
self.physics = game.PhysicsS... | cgloeckner/plate | main.py | main.py | py | 6,522 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "core.app.State",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "core.app",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "core.app.Engine",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "core.app",
"lin... |
37739437220 | from django.urls import include, path
from catalogos import views
from catalogos.views import CategoriaView, CategoriaNew, CategoriaEdit, CategoriaDel,\
SubCategoriaView, SubCategoriaNew, SubCategoriaEdit, SubCategoriaDel, ProductoView,\
ProductoNew, ProductoEdit, ProductoDel, CatalogoView, MovimientosMercancia... | frpk21/pos | catalogos/urls.py | urls.py | py | 3,011 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "catalogos.views.MenuView",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "catalogos.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.ur... |
38381739274 | from typing import List
# https://leetcode-cn.com/problems/permutations/solution/hui-su-suan-fa-by-powcai-2/
class Solution0:
def permute(self, nums: List[int]) -> List[List[int]]:
res = []
def backtrack(nums, tmp):
if not nums:
res.append(tmp)
return
... | 1lch2/PythonExercise | leetcode/back_track/46.py | 46.py | py | 1,282 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
}
] |
27262013690 | def save_tag_to_mat(lines, dim, query, root):
feature_dao = FeatureDao()
feature_dao.init(root)
feature_id = 'tag%d' % dim
feature_path = ''.join([feature_dao.featureRoot ,'/', feature_id, '/',query , '/', 'tag%d_tags.mat' % dim])
save_strings_to_mat(lines, 'tags', feature_path)
def save_st... | Asperado/iconic | data_collection/database_builder/core/task_gen_top_tags.py | task_gen_top_tags.py | py | 10,486 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
42510569163 | from ast import arg
from pathlib import Path
import shutil, sys
from setuptools import setup as _setup, find_packages
root = Path(__file__).parent
PKG = sys.argv.pop(1).replace("-", "_")
PKG_NAME = PKG.replace("_", "-")
src = root / "src" / PKG
dist = root / "dist" / PKG
dist.mkdir(exist_ok=True, parents=True)
def... | jose-pr/pypki | setup.py | setup.py | py | 2,153 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv.pop",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number... |
74056239227 | import os
import torch
import pickle
import numpy as np
import matplotlib.pyplot as plt
def ensure_numpy_array(tensor):
if isinstance(tensor, torch.autograd.Variable):
tensor = tensor.data
if torch.cuda.is_available() and isinstance(tensor, torch.cuda.FloatTensor):
tensor = tensor.cpu()
if ... | isaachenrion/jets | src/visualizing/utils.py | utils.py | py | 2,109 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "torch.autograd",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.Tens... |
35765065988 | from torch_geometric.nn import GINConv, global_mean_pool, global_add_pool,GCNConv,SAGEConv
from torch import nn
from base_model import *
from global_model_V2 import *
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import json
import pickle
import torch
import torch.n... | tianyao-aka/Expresive_K_hop_GNNs | model/PL_Model_TUDataset_V2.py | PL_Model_TUDataset_V2.py | py | 4,161 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torchmetrics.Accuracy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 48,
"usage_type": "call"
},
{
"api... |
39607768583 | import os
import logging
from optparse import make_option
from django.core.management.base import BaseCommand
from django.core.management.base import CommandError
from core.batch_loader import BatchLoader, BatchLoaderException
from core.management.commands import configure_logging
configure_logging('load_batch_... | open-oni/open-oni | core/management/commands/load_batch.py | load_batch.py | py | 1,884 | python | en | code | 43 | github-code | 6 | [
{
"api_name": "core.management.commands.configure_logging",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name":... |
72281479869 | from django.db.models import Count, Sum, Q, Case, When, BooleanField
from django.db.models.functions import Coalesce
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import viewsets, mixins, filters
from rest_framework.decorators import action
from rest_framework.permissions import IsAu... | duca43/pocket-imdb-server | pocketimdb/movies/views.py | views.py | py | 4,894 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.mixins.ListModelMixin",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.mixins",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.RetrieveModelMixin",
"line_number": 20,
"usage_type... |
8702361268 | import os, glob
import numpy as np
import astropy
import spaceKLIP
import pytest
testdatapath = os.getenv('SPACEKLIP_TEST_DATA_PATH')
testpath = os.path.dirname(os.path.abspath(__file__))
def test_has_test_data():
assert os.getenv('SPACEKLIP_TEST_DATA_PATH'), "The $SPACEKLIP_TEST_DATA_PATH environment variable... | kammerje/spaceKLIP | spaceKLIP/tests/test_database.py | test_database.py | py | 1,625 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_num... |
29870052036 | #!/usr/bin/env python
import gc
import sys
import cv2
import mmcv
import json
import time
import pickle
import warnings
import openslide
import numpy as np
import torch, torchvision
from torchvision.ops import nms as torch_nms
from pathlib import Path
import concurrent.futures
from lib.utils import *
from lib.nms_WSI i... | Karnsira/CMVDET | inference_det.py | inference_det.py | py | 5,829 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
39227292289 | # -*- coding: utf-8 -*-
from flask import request, Response
import arrow
from sqlalchemy.orm.exc import NoResultFound
import xml.etree.cElementTree as Etree
import hashlib
from datetime import datetime
from utils import generate_random_key
from tables import Artist, Album, Song, BridgeSession, BridgeUser, BridgeSong... | katajakasa/koel-ampache-bridge | src/app.py | app.py | py | 6,515 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tables.BridgeSession.get_one_or_none",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tables.BridgeSession",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "flask.request.args.get",
"line_number": 21,
"usage_type": "call"
},
{
"... |
18955621832 | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 24 15:42:41 2022
@author: steve
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
us_transfers = pd.read_csv('us_data_transfers.csv', dtype=str)
us_transfers['declared_safeguards'] = us_transfers['declared_safeguards'].str.replace(r'[','', rege... | slope23/GDPR | safeguard_analysis.py | safeguard_analysis.py | py | 7,289 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "matplotl... |
25986474876 | import torch
from torch import nn, optim
from torchvision import transforms
from PIL import Image
import numpy as np
import pandas as pd
import torch.utils.data as data
from sklearn.model_selection import KFold
from torch.nn import functional as F
from d2l import torch as d2l
#加载数据
train_csv=pd.read_csv('../data/... | weiyuanhong623/Deep-learning | 练习/leaves_classify/Myleaves.py | Myleaves.py | py | 8,545 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "PIL.Im... |
75091659706 | """
- Author : Anish Basnet, Ashish Mainali
- Email : anishbasnetworld@gmail.com, mainaliashish@outlook.com
- Date : Saturday, July 17, 2021
"""
import os
from collections import Counter
import pandas as pd
from tweeter_covid19.utils import mkdir, write_pickle_data
SETS = 10
def convert_sentences_to_list(string... | c0mmand3r3/twitter_covid19 | examples/word_with_frequency_example.py | word_with_frequency_example.py | py | 1,236 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
36569042360 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
from odoo import exceptions
from odoo.exceptions import ValidationError
from odoo.tools.safe_eval import safe_eval, test_python_expr
import json
import datetime
import string
import requests
from lxml import etree
import logging
_logger = logging... | AMohamed389/airport4 | sr/models/sr.py | sr.py | py | 7,697 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Char... |
7642668054 | # Credit @KidsCanCode https://www.youtube.com/watch?v=Eltz-XJMxuU&list=PLsk-HSGFjnaH5yghzu7PcOzm9NhsW0Urw&index=2
# Tutorial Followed to create pygame template
# This is the starting code for a new game
import pygame as pg
import random as rdm
import sys
from GameSettings import *
from Agent import *
from ResourceTi... | Tariq-C/AI-Village | 2D-GameDesign/TileGameTest/TileGameTest.py | TileGameTest.py | py | 5,186 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
283721199 | import cv2
import pytesseract
import numpy as np
from matplotlib import pyplot as plt
from imutils.object_detection import non_max_suppression
import glob
import time
import concurrent.futures
import argparse
import statistics
def measure_staffgauge_len(image_path):
img = cv2.imread(image_path)
cv2.imsh... | noahcroit/flood-monitor-cctv | staff-gauge-reader/samples/waterlevel-extract-algorithm.py | waterlevel-extract-algorithm.py | py | 4,611 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 28,... |
73767748987 | from __future__ import absolute_import
import unittest
import warnings
import six
from groupdocs_conversion_cloud import Configuration, InfoApi, ApiException, GetSupportedConversionTypesRequest
from test.test_settings import TestSettings
class TestAuthApi(unittest.TestCase):
"""ViewerApi unit tests"""
def ... | groupdocs-conversion-cloud/groupdocs-conversion-cloud-python | test/apis/test_auth_api.py | test_auth_api.py | py | 1,671 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "six.PY3",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "warnings.simplefilter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "groupdocs_c... |
44852510003 | import math
import numpy as np
import librosa
import soundfile as sf
import utils as helper
import config as CONF
from skimage.filters import try_all_threshold, threshold_otsu
import debug as debug
import matplotlib.pyplot as plt
import json
import filewriter as file
class Chrous:
def __init__(self, file,len = Non... | gta191977649/songle | chrous.py | chrous.py | py | 12,243 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "librosa.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "librosa.feature.chroma_stft",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "librosa.feature",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.l... |
2089779059 | import unittest
import os
import sys
import re
import utils
import subprocess
TOPDIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
check_py = os.path.join(TOPDIR, "check_standards.py")
sys.path.insert(0, TOPDIR)
try:
import check_standards
finally:
del sys.path[0]
class Tests(unittest.Test... | salilab/pmi | tools/dev_tools/test/test_check_standards.py | test_check_standards.py | py | 10,634 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_nu... |
26471842221 | from django.conf.urls import url
from . import views
urlpatterns = [
#url(r'^graduates/(\d+)/',views.graduateInfo, name='grad_bilgi'),
url(r'^clubs/add-msg/(\d+)/',views.postNewMessage, name='new_m'),
url(r'^clubs/add-reply/(\d+)/(\d+)/',views.postNewReply, name='new_r'),
url(r'^clubs/(\d+)',views.cl... | BogachanA/Alumni | graduates/urls.py | urls.py | py | 441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
11147939799 | import numpy as np
import os
import tensorflow as tf
import keras
from keras.applications import InceptionV3
from keras.models import Model
from keras.layers import Dense, GlobalAveragePooling2D
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import Adam
import json
import argparse
import... | dylanebert/inception | main.py | main.py | py | 6,021 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.layers.GlobalAveragePooling2D",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 20,
"usage_type": "call"
},
{
"api_nam... |
22182941307 | from bs4 import BeautifulSoup
import requests
url = "https://www.doradcasmaku.pl/przepisy-obiad-pora-dnia"
base_url = "https://www.doradcasmaku.pl"
titles = []
ingredients = []
all_links = []
for x in range(2):
print(x)
if x == 0:
response = requests.get(url)
else:
response = requests.get(u... | Michal-Pogorzelec/Projects | Python_Projects/recipes_scrapping.py | recipes_scrapping.py | py | 1,917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_... |
911012990 | #!/usr/bin/env python
import matplotlib.pyplot as pt, numpy as np
with open('scf_results.txt') as f:
pt.clf()
tally = dict()
for line in f:
words = line.split()
mixing = float(words[0])
temp = words[1]
if temp == "inf":
temp = 10
niter = int(temp)
... | theochem/horton | tools/convergence_tester/plot.py | plot.py | py | 638 | python | en | code | 83 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.clf",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotl... |
43281342984 | import json
import math
with open("iris.json") as f:
lines=f.read()
#list1 initialized to store each line
list1=[]
for i in lines.split(" "):
list1=list1+[i]
print(list1,"\n")
print()
#To print dictionary objects
print("Dictionary objects are : ")
for i in list1:
... | AksA1210/pythonrepo | labcycle2_updated/l3.py | l3.py | py | 1,933 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
}
] |
36916221895 | # -*- coding: utf-8 -*-
from django.template.loader import get_template
from django.template import Context
from django.http import HttpResponse
from djTest.articles.models import Article, Tag
from django.shortcuts import redirect, render_to_response
from django.contrib import csrf
from django.template.context import R... | AlekseyNechaev/wiki_test_project | views.py | views.py | py | 5,938 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "djTest.articles.models.Article.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "djTest.articles.models.Article.objects",
"line_number": 14,
... |
14892323027 | #-*-coding：utf-8-*-
#！usr/bin/env python3
import itchat
from itchat.content import *
import re
import os, sqlite3
import datetime
def store(received_date=None, title=None,
url=None, sharer=None,
text=None):
#数据库路径
db_file = os.path.join(os.path.dirname(__file__), 'glinks.db')
#当数... | vincijy/Easy-wechat-script | 群聊分享链接的保存/save_group_sharings.py | save_group_sharings.py | py | 2,445 | python | en | code | 75 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line... |
28750237364 | from flask import Flask, request, redirect, url_for, render_template, send_from_directory
import pdb, sys
import worker
app = Flask(__name__, static_url_path='')
@app.route('/', methods=['POST', 'GET'])
def index():
if request.method == 'POST':
headline_to_check = request.form['headline']
body_to_c... | jasirfayas/Deceptive-Article-Detection | main.py | main.py | py | 1,171 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.request.form",... |
41373266692 | #!/usr/bin/env python
import json
from statistics import mean
from math import sqrt
from graph import calc_diff
RESULT_FILENAME = 'networks_simulation_results.json'
def parse_json():
with open(f"tmp/{RESULT_FILENAME}") as fh:
return json.loads(fh.read())
def calc_enice(results):
enice = [
... | mkapra/graph_measurements_segmentation | evaluate_sim_results.py | evaluate_sim_results.py | py | 1,498 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "graph.calc_diff",
"lin... |
23195817764 |
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 8})
plt.rcParams["font.family"] = "Times New Roman"
MainDatabase = pd.read_excel(r'../Database/LoadableDatabase.xlsx')
print(MainDatabase.head())
# base on database we will set iloc
# x = MainDatabase.iloc[:, :4].values #independ... | Mehedi-Bin-Hafiz/Lentil-Price-Prediction-by-ML | Graph/BarGraph.py | BarGraph.py | py | 3,274 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"... |
12009409608 | from __future__ import annotations
from dataclasses import replace
from typing import TYPE_CHECKING, List
import napari.layers
import numpy as np
from brainways.pipeline.brainways_params import BrainwaysParams, TPSTransformParams
from brainways.pipeline.brainways_pipeline import PipelineStep
from brainways.transforms... | bkntr/napari-brainways | src/napari_brainways/controllers/tps_controller.py | tps_controller.py | py | 9,487 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "napari_brainways.controllers.base.Controller",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "napari_brainways.brainways_ui.BrainwaysUI",
"line_number": 23,
"usage_t... |
23515448940 | from collections import deque
N,M = map(int,input().split())
graph = [list(map(int,input())) for _ in range(N)]
def bfs(x,y):
que = deque()
que.append((x,y))
dx, dy = [-1,1,0,0], [0,0,1,-1]
while que:
x,y = que.popleft()
for i in range(4):
nx = x + dx[i]
ny =... | Soohee410/Algorithm-in-Python | book/3. DFS,BFS/5.4. 미로 탈출.py | 5.4. 미로 탈출.py | py | 571 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
1983938436 | import pytest
from aiohttp import web
from marshmallow import EXCLUDE, INCLUDE, Schema, fields
from aiohttp_apispec import (
cookies_schema,
docs,
headers_schema,
json_schema,
match_info_schema,
querystring_schema,
request_schema,
response_schema,
setup_aiohttp_apispec,
validati... | maximdanilchenko/aiohttp-apispec | tests/conftest.py | conftest.py | py | 7,658 | python | en | code | 214 | github-code | 6 | [
{
"api_name": "marshmallow.Schema",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "marshmallow.EXCLUDE",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "marshmallow.fields.String",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mars... |
30626038922 | from datetime import datetime
from datetime import timezone
from decimal import Decimal
import xml.etree.ElementTree as ET
import xml.dom.minidom as md
import argparse
import json
import extract
def statement_date_range(statement):
''' Identifies the start and end dates of statement transactions list.
... | henridvf/BEKBtoOFX | ofx.py | ofx.py | py | 5,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 39,
"usage_type": "call"
},
{
... |
2706203437 | import unittest,collections
import Rhino.Geometry as geom
import rhinoscriptsyntax as rs
from rhino_unwrapper.meshUtils import mesh
from rhino_unwrapper.meshUtils import meshLoad
import userCuts
import autoCuts
reload(userCuts)
reload(autoCuts)
reload(mesh)
reload(meshLoad)
def setUpModule():
print("---- cuts --... | jlopezbi/rhinoUnfolder | rhino_unwrapper/cutSelection/test_cut.py | test_cut.py | py | 5,006 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "rhino_unwrapper.meshUtils.mesh",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "rhino_unwrapper.meshUtils.meshLoad",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "rhinoscriptsyntax.DeleteObjects",
"line_number": 23,
"usage_typ... |
6597455104 | #%%#############################################################################
# PART 1: Module imports and object definition #
################################################################################
""" Assumes Python >= 3.7 & R == ??, and will require Linux to run properly.... | crrcgeorgia/blogcharts | own-assets/en/blog.py | blog.py | py | 17,917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.r",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "rpy2.robjects",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": ... |
4329005114 | from django.urls import path
from rest_framework import routers
from . import views
# Create a DefaultRouter instance
router = routers.DefaultRouter()
# Register viewsets with the router
router.register("journals", views.UserJournalEntriesViewSet, basename="journalentries")
router.register("labels", views.UserLabelVi... | makoye224/mindscribe23 | journalstore/urls.py | urls.py | py | 948 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 6,
"usage_type": "name"
}
] |
72824516347 | import requests
import json
from tqdm import tqdm
access_token = '...' # Нужно вставить VK токен
user_id = input('Введите VK id: ')
class VkDownloader:
def __init__(self):
self.token = access_token
def get_photos(self):
url = 'https://api.vk.com/method/photos.get'
params = {
... | Egor4955/My_course_work | main.py | main.py | py | 2,714 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number"... |
75238067706 | import os
import time
import PoGoCLI
import LocateIV
import ButtonPressing
from PIL import Image
import threading
from flask import Flask, render_template, request
# Static information
app = Flask(__name__)
name_box = 'images/Name_Box.png'
ok_button = 'images/Ok_Button.png'
okay_button = 'images/Okay_Button.png'
men... | DevJCrystal/PoGo-IV-Renamer | main.py | main.py | py | 4,449 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.name",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request.args.get",
"l... |
29793833626 | import BasicFunctionsNumPy
from typing import List,Callable
import Derivative
import numpy as np
Chain=List[Callable]
def chain_deriv_3(chain:Chain,input_range:np.ndarray)->np.ndarray:
"""
Computes the derivative of 3 layer compsition functions
"""
assert len(chain)==3,\
"Provide thr... | Niramin/DeepLearning | ChainDerivative3.py | ChainDerivative3.py | py | 987 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "Derivative.deriv",
"l... |
37430052248 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: 垚捷电商平台通用struts命令执行
referer: http://www.wooyun.org/bugs/wooyun-2015-0105820
author: Lucifer
description: 上海垚捷公司的钢材电商平台存在通用性struts漏洞,google:"ecp/announcement/announcement_view2.action"。
'''
import sys
import requests
class yaojie_steel_struts_exec_BaseVerify:
... | iceyhexman/onlinetools | scanner/plugins/cms/others/yaojie_steel_struts_exec.py | yaojie_steel_struts_exec.py | py | 2,002 | python | en | code | 1,626 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 43,
"usage_type": "attribute"
}
] |
11415113286 | import pytest
from qa2nli.converters.bart.predictor import BartConverter
from pathlib import Path
import logging
logger = logging.getLogger(__name__)
bart_model_path = Path(__file__).parent.parent.parent / \
'.models/bart_test/epoch=1.ckpt'
@pytest.fixture
def sample1():
inputs = ([
"What was his nam... | nli-for-qa/conversion | qa2nli/tests/test_bart_converter.py | test_bart_converter.py | py | 1,082 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"... |
22221152711 | import matplotlib.pyplot as plt
import matplotlib.patches as patches
# Constants
EARTH_RADIUS = 1
NUMBER_OF_EARTHS = int(2**255 / 7.5e18) # Using the previous estimation of 7.5e18 grains of sand per Earth
EARTHS_PER_ROW = 10
def draw_earth(ax, x, y):
"""Draw an 'Earth' circle."""
earth_circle = patches.Circl... | flarnrules/flarnchain-newsletter | media/code_vizualizations/sha-256_earths.py | sha-256_earths.py | py | 1,050 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.patches.Circle",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.patches",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
35981188589 | """
Vincente Pericoli
UC Davis
Read translated binary packet data, originating from
my modified packet reader program. The files to read
are a hybrid comma-separated form.
THIS WILL LIKELY ONLY WORK FOR THE COHESIVE ELEMENT OUTPUTS
This is quick and dirty.
"""
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~... | vpericoli/warp3d-readers | warp3d_bpf_readers.py | warp3d_bpf_readers.py | py | 7,144 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "subprocess.check_call",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 189,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 189,
"usage_type": "attribute"
},
{
"api_name": "numpy.float64"... |
15813989588 | """Model with the main Orange Widget.
This module contains the world bank data widget, used for fetching data from
world bank data API.
"""
import logging
import collections
from functools import partial
import requests
from PyQt4 import QtCore
from Orange.widgets import widget
from Orange.widgets.utils import concu... | zidarsk8/orange3-data-sets | orangecontrib/wbd/owwidget_base.py | owwidget_base.py | py | 5,099 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Orange.widgets.widget.OWWidget",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "Orange.widgets.widget",
"line_number": 20,
"usage_type": "name"
},
{
"api_n... |
17335200732 | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
import numpy as np
from .plotbox import *
from .common import parseSettings, slotError
class BuilderBox(QWidget):
def __init__(self, parent=None):
super(BuilderBox, self).__init__(parent)
self.tabLayou... | usnistgov/sesame | sesame/ui/system_tab.py | system_tab.py | py | 22,629 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "common.parseSettings",
"line_number": 409,
"usage_type": "call"
},
{
"api_name": "common.parseSettings",
"line_number": 535,
"usage_type": "call"
}
] |
23856939065 | import os.path
os.environ['CUDA_LAUNCH_BLOCKING'] = '1'
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import pandas as pd
from d2l import torch as d2l
def train_ch13(net, train_iter, test_iter, loss, trainer, num_epochs, scheduler, save_path, devices=d2l.try_all_gpus()):
if ... | UnderTurrets/HeightDriven_DoubleAttentions_Net | train/train.py | train.py | py | 3,552 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "d2l.torch.try_all_gpus",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "d2l.torch",
"li... |
15155875777 | import pyttsx3
import speech_recognition as sr
import datetime
import calendar
import webbrowser
import wikipedia
import pywhatkit
import pyjokes
import tkinter as tk
from PIL import ImageTk ,Image
import tkinter.font as font
window=tk.Tk()
window.title("Ziva Virtual Assistant")
img=ImageTk.PhotoImage(Im... | porkalai35/voice-assistant | sample.py | sample.py | py | 3,577 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"l... |
10271804111 | import argparse
from sys import argv
from math_parser_v1 import (pre_validation,
parse,
validate_parsed_list,
process_unary_operations,
sort_to_polish,
calc)
def create_parser()... | dlaevskiy/arhirepo | task_alina_epam/myargparse.py | myargparse.py | py | 1,435 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "math_parser_v1.pre_validation",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "math_p... |
30014488834 | # Machine Problem 1
# Po, Justin Andre
# Valles, Oscar Vian
from random import randint, randrange
from time import sleep
from typing import Optional, List
from os import system
from math import modf
from termcolor import cprint
MAX_VAL: int = 30
DEBUG: bool = False
DEBUG_DATA: bool = False
DEBUG_DISABLE_LOOP: bool = ... | ohhskar-school/cmsc-125 | mp1.py | mp1.py | py | 11,945 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.modf",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_numb... |
18430194888 | '''
Created on 05.05.2017
@author: henrik.pilz
'''
from array import array
from datetime import datetime
from xml.sax import handler
import logging
from datamodel import Feature
from datamodel import FeatureSet
from datamodel import Mime
from datamodel import Price
from datamodel import PriceDetails
fr... | HenrikPilz/BMEcatConverter | src/importer/xml/bmecatImportHandler.py | bmecatImportHandler.py | py | 29,729 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "xml.sax.handler.ContentHandler",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "xml.sax.handler",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "transformer.SeparatorTransformer",
"line_number": 139,
"usage_type": "call"
},
{
... |
34179125376 | import numpy as np
from itertools import product
from numpy.core.fromnumeric import shape
def in_bounds(rng):
return -50 <= rng[0] <= 50 and -50 <= rng[1] <= 50
with open("input") as input_file:
instructions = []
for line in input_file:
on_off, ranges = line.strip().split(" ")
x,y,z = [[in... | mpryor/advent-of-code-2021 | day-22/part-1.py | part-1.py | py | 1,002 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 27,
"usage_type": "call"
}
] |
35563359071 | from flask import Flask, url_for, render_template
from flask.ext import restful
from random import randint
app = Flask(__name__)
api = restful.Api(app)
names = ['Logan', 'Jennifer', 'Richard', 'Sam', 'Rumel', 'Rob', 'Alison']
class GenerateName(restful.Resource):
def get(self):
name = names[randint(0,6)]... | rich-digi/logans-rest | logans.py | logans.py | py | 543 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.ext.restful.Api",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.ext.restful",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "flask.ext.restful.Re... |
41729600231 |
from tkinter import *
from tkinter import ttk
from PIL import ImageTk, Image
import tkinter as tk
img_x = 100
img_y = 100
def makeBoard():
img = (Image.open("h.jpg"))
img = img.resize((img_x, img_y), Image.ANTIALIAS)
img = ImageTk.PhotoImage(img)
for x in range(0, 7):
for y in range(0, 7):
... | sashamorecode/chess | main_v1.py | main_v1.py | py | 3,784 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"li... |
74142907388 | # # 添加到celery服务器所在电脑的项目中
# # 让celery执行发送邮件前初始化django环境
# import os
# import django
# # 设置环境变量
# os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dailyfresh.settings")
# # 初始化django环境
# django.setup()
from celery import Celery
from django.core.mail import send_mail
from django.conf import settings
from django.template ... | xmstu/dailyfresh2 | dailyfresh/celery_tasks/tasks.py | tasks.py | py | 2,820 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "celery.Celery",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.EMAIL_FROM",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 27,
"usage_type": "name"
},
{
"api_name"... |
22868197283 | import Levenshtein
import json
import requests
import speech_recognition as sr
#from difflib import SequenceMatcher
direction = json.loads(open('Resources/training/all tasks/direction.json').read())
training_batch_size = 200
training_epochs = 500
training_ignore_letters = ['?', ',', '!', '.', '"', ':', ';', '... | TroySigX/smartbot | global_function.py | global_function.py | py | 6,287 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Levenshtein.ratio",
"line_number": 164,
"usage_type": "call"
},
{
"api_name": "requests.g... |
1681577056 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 15 11:11:01 2019
@author: mansi
"""
import random
import pyffx
df_2 = pandas.read_csv('C:\\Users\\mansi\\OneDrive\\Documents\\ADM\\enc_data.csv' )
#reading all columns into data frame
col= df_2.iloc[:,10]
col1 = df_2.iloc[:,1]
col2 = df_2.iloc[:,2]
col3... | seemanthini-n/Safe-machine-learning-for-patient-data-privacy | PaillierEncryption.py | PaillierEncryption.py | py | 2,817 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyffx.Integer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "phe.paillier.generate_paillier_keypair",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "phe.paillier",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "pan... |
2523813322 | import torch
import torch.nn as nn
from model import Encoder_PE, Encoder_Unet, Decoder
from utils import OutConv
from TCE import TC_Early
from TCL import TC_Late
from THD import HyperDenseNet_TC
from TCC import TC_Co
from NLE import Non_Local_Early
from NLL import Non_Local_Late
from NLC import Non_Local_Co
from NLH im... | wanpeng16/DpRAN | FusionVariants/Model_V.py | Model_V.py | py | 3,343 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "model.Encoder_Unet",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "model.Encoder_PE",
... |
11728312745 | import math
from collections import Counter
class InvertedIndex:
def __init__(self):
self.index_terms = {}
self.corpus = Counter()
def parse_term(self, index_term, document_ID):
acc = 1
if document_ID not in self.corpus:
self.corpus[document_ID] = 0
if i... | nzabdelke/News-Clustering | data_preparation/inverted_index.py | inverted_index.py | py | 1,620 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.log10",
"l... |
70159917947 | import math
import pytest
import os
import itertools
import torch
from kaolin.ops.spc import points_to_morton, morton_to_points, points_to_corners, \
coords_to_trilinear, quantize_points
class TestPoints:
@pytest.fixture(autouse=True)
def points(self):
return torch.tensor([... | silence394/GraphicsSamples | Nvida Samples/kaolin/tests/python/kaolin/ops/spc/test_points.py | test_points.py | py | 2,564 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.tensor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.int16",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line... |
33328757126 | from fastapi import APIRouter, Depends
from ..utils import engine, get_session
from sqlmodel import Session, select
from sqlalchemy.exc import NoResultFound
from ..models.role import Role
from datetime import datetime
router = APIRouter(prefix="/api/roles", tags=["role"])
@router.post("/")
async def post_role(*, rol... | KaterynaIurieva/timeflow | backend/api/role.py | role.py | py | 4,527 | python | en | code | null | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.role.Role",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sqlmodel.Session",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
... |
39223036706 | """
General config variables
"""
import os
from dotenv import load_dotenv, find_dotenv
# load environment variables
load_dotenv(find_dotenv())
DEVICE_IDENTIFIER = os.getenv("DEVICE_IDENTIFIER")
MQTT_BROKER_HOST = os.getenv("MQTT_BROKER_HOST", "mqtt")
MQTT_BROKER_HOST_PORT = int(os.getenv("MQTT_BROKER_HOST_PORT", "121... | romulomanzano/edge-ai | voice_orchestrator_app/config.py | config.py | py | 657 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dotenv.find_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_n... |
31211339771 | ''' TAREA7
La tarea se trata de maximizar algún variante de la función
bidimensional ejemplo,g(x,y), con restricciones −3 ≤ x,y ≤ 3, con la
misma técnica del ejemplo unidimensional.Crear una visualización
animada de cómo proceden 15 réplicas simultáneas de la búsqueda
encima de una gráfica d... | Elitemaster97/Simulacion | Tarea7/Tarea7.py | Tarea7.py | py | 2,961 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.uniform",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"li... |
39998768152 | import json
def read_and_format_financial_data(file_path='./output/billing_history.json'):
try:
with open(file_path, 'r') as file:
billing_history = json.load(file)
financial_info = 'Here is your recent financial data:\n'
for item in billing_history:
payment_date = i... | henryavh/BH23 | FrontEnd/streamlit_sources/chat_data_reader.py | chat_data_reader.py | py | 804 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"line_number": 17,
"usage_type": "attribute"
}
] |
34389857223 | import os
import os.path as osp
import subprocess as sp
import re
name_r = re.compile("""run_geant_simulation[.]py (.*)\'""")
props_r = re.compile("-(\w) (\S*)")
def name_from_cmd(name):
flags = name_r.findall(name)[0]
props = dict(props_r.findall(flags))
keys = sorted(props.keys())
return '_'.join(['%s=%s' ... | yandexdataschool/crayimage | examples/collect_mc.py | collect_mc.py | py | 1,821 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
... |
440709596 | import addict
from data_io import load_train_features
from optimizer import adapt_optimizer
from my_logger import print_info, set_global_slience_flag
def main():
train_data = load_train_features()
print_info("train_data.shape", train_data.shape)
print_info("train_data.head", train_data.head())
featur... | kqdmqx/kaggle-Elo-Merchant-Category-Recommendation | optimize_lgbmodel000.py | optimize_lgbmodel000.py | py | 1,690 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "data_io.load_train_features",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "my_logger.print_info",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "my_logger.print_info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "m... |
36834868273 | """
Created on Apr 5, 2010
@author: Barthelemy Dagenais
"""
from __future__ import unicode_literals, absolute_import
from multiprocessing import Process
import subprocess
from threading import Thread
from traceback import print_exc
import unittest
from py4j.compat import range
from py4j.java_gateway import (
Jav... | deepsense-ai/seahorse | sessionmanager/we-deps-consts/2.0.0/py4j/tests/java_callback_test.py | java_callback_test.py | py | 9,828 | python | en | code | 104 | github-code | 6 | [
{
"api_name": "py4j.java_gateway.set_default_callback_accept_timeout",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "py4j.tests.java_gateway_test.PY4J_JAVA_PATH",
"line_number": 27,
"u... |
37763224888 | from DataLoader import NominalCIFAR10ImageDataset, NominalMNISTImageDataset, NominalMVTecCapsuleImageDataset
from models.AE_CIFAR10 import AE_CIFAR10
from models.AE_CIFAR10_32 import AE_CIFAR10_32
from models.AE_CIFAR10_V4 import AE_CIFAR10_V4
from models.AE_MNIST_32 import AE_MNIST_32
from models.AE_MNIST_V2 import AE... | DennisWeiss/soft-tukey-depth-experiments | train-autoencoder.py | train-autoencoder.py | py | 4,008 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.cuda.is_available",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.cuda",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 26,
"usage_type": "name"
},
{
"ap... |
1245643607 | import torch
import os
import random
import json
import numpy as np
torch.manual_seed(0)
random.seed(0)
np.random.seed(0)
from os.path import join
from constants import *
from utils import *
from data import AIDADataset, AIDADocument
from argparse import ArgumentParser
# Constants
PRETRAINED_MODEL = 'model.pt'
CONFI... | GAIA-IE/AIDA-Entity-Coref | aida_coref.py | aida_coref.py | py | 9,019 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.manual_seed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line... |
70746450748 | import matplotlib.pyplot as plt
import pandas as pd
def run(results_directory, optimizer, objectivefunc, Iterations):
plt.ioff()
fileResultsData = pd.read_csv(results_directory + "/experiment.csv")
for j in range(0, len(objectivefunc)):
objective_name = objectivefunc[j]
startIteration = ... | 7ossam81/EvoloPy | plot_convergence.py | plot_convergence.py | py | 1,177 | python | en | code | 393 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.ioff",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
38756106620 | import logging
import pytest
from pytest_server_fixtures import CONFIG
from pytest_fixture_config import yield_requires_config
from .base2 import TestServerV2
log = logging.getLogger(__name__)
def _mongo_server():
""" This does the actual work - there are several versions of this used
with different sc... | man-group/pytest-plugins | pytest-server-fixtures/pytest_server_fixtures/mongo.py | mongo.py | py | 3,832 | python | en | code | 526 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pytest.yield_fixture",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest_fixture_config.yield_requires_config",
"line_number": 25,
"usage_type": "call"
},
{
... |
19240285698 | import torch
from jax import numpy as jnp
from experiments.data import load_celeba_dataset
from run_celeba import *
from experiments.models import get_model, get_apply_fn_test
from experiments.train_state import get_train_state
from experiments.train import test, get_test_step
from jax import jit
import numpy as np
im... | UCSC-REAL/fair-eval | celeba/wrap_up_result.py | wrap_up_result.py | py | 3,404 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.max",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.testing.assert_array_al... |
71580484029 | import logging
import json
from datetime import datetime
from database import connection as db_con
import pandas as pd
from utils.api_fx import APIConverter
batch_max_size = 1000
processing_summary_insert = "INSERT processing_summary (start, end, start_msg_no, end_msg_no, processed_successfully) VALUES (%s, %s, %s, %... | gruffalow/sibos-2020 | processing/find_cycles.py | find_cycles.py | py | 7,575 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "utils.api_fx.APIConverter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"lin... |
41656647500 | import numpy as np
import pandas as pd
import pymongo
import time
import collections
from bson import ObjectId
from queue import PriorityQueue
client = pymongo.MongoClient("mongodb+srv://KokilaReddy:KokilaReddy@cluster0.5nrpf.mongodb.net/Social_media_data?retryWrites=true&w=majority")
db=client['Social_media_data']
use... | Sociolitic/Analytics | Analytics/Trigger.py | Trigger.py | py | 5,901 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "queue.PriorityQueue",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "collectio... |
70268012349 | import csv
import numpy as np
from matplotlib import pyplot as plt
import datetime
with open("Site_IUT_pas_touche.csv", encoding="utf16") as data:
reader = csv.reader(data, delimiter=",")
header_row = next(reader)
France = 0
Usa = 0
Maroc = 0
Suisse = 0
Autre = 0
fo... | Epynox/python-sae101 | Pays du visteur.py | Pays du visteur.py | py | 883 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.pie",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.a... |
43010099412 | import cv2 as cv
import time
cam = cv.VideoCapture(0)
cam.set(3, 640)
cam.set(4, 480)
cnt = 0
t1 = time.time()
while True:
ret, frame = cam.read()
cnt += 1
cv. imshow("live", frame)
if cv.waitKey(10) & 0xff == ord("q"):
t2 = time.time()
break
if cnt == 30:
t2 = time.time(... | Ata1362/Camera_FPS | FPS.py | FPS.py | py | 455 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number":... |
25435794167 | import json
import os
from typing import List
from urllib import parse
import here_public_transit_api
from here_public_transit_api.rest import ApiException
from herepy import PlacesApi
from loguru import logger
from model.sqlmodel import InterestLocation, Location, Point, RouteSummary
class Router:
@staticmetho... | DublinHome/cli_scraps | classes/router.py | router.py | py | 5,134 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "model.sqlmodel.Point",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "model.sqlmodel.Point",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "model.sqlmodel.Point",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "here_p... |
37495171695 | import argparse
import os, sys
import numpy as np
sys.path.append('../')
from bilm.training import train, load_options_latest_checkpoint, load_vocab
from bilm.data import BidirectionalLMDataset
def main(args):
# load the vocab
vocab = load_vocab(args.vocab_file, 50)
# define the options
batch_size ... | xuezhongfei2008/23_bert | 2_ELMo/ELMo_Chin-tf/bin/train_elmo.py | train_elmo.py | py | 2,853 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "bilm.training.load_vocab",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bilm.data.Bidire... |
73817283066 | import discord
from sqlalchemy.ext.asyncio import AsyncSession
from metricity import models
def insert_thread(thread: discord.Thread, sess: AsyncSession) -> None:
"""Insert the given thread to the database session."""
sess.add(models.Thread(
id=str(thread.id),
parent_channel_id=str(thread.par... | python-discord/metricity | metricity/exts/event_listeners/_utils.py | _utils.py | py | 1,151 | python | en | code | 39 | github-code | 6 | [
{
"api_name": "discord.Thread",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.ext.asyncio.AsyncSession",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "metricity.models.Thread",
"line_number": 9,
"usage_type": "call"
},
{
"api_... |
41629752811 | import numpy as np
from sklearn.linear_model import LogisticRegression
import matplotlib.pyplot as plt
import matplotlib as mpl # 绘图地图包
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn import datasets
from sklearn.model_selection import train_test_split
def iris_t... | Akira-uestc/machine-learning-note | scikit-learn机器学习分类算法/逻辑回归/logistic-scikitlearn.py | logistic-scikitlearn.py | py | 2,396 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 22,
"usage_type": "call"
},
{
... |
34768256831 | import sys
from ckan.lib.base import request
from ckan.lib.base import c, g, h
from ckan.lib.base import model
from ckan.lib.base import render
from ckan.lib.base import _
from ckan.lib.navl.validators import not_empty
from logging import getLogger
import ckan.logic as logic
import ckan.lib.dictization.model_dictiz... | SenseTecnic/ckanext-wotkit | ckanext/wotkit/actions.py | actions.py | py | 13,367 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ckan.logic.get_or_bust",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "ckan.logic",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "ckan.logic.g... |
25288782980 | import os
import sys
import time
import random
import discord
from discord.ext import commands
from discord.ext import tasks
from discord import Member
from discord.ext.commands import has_permissions
from discord.ext.commands import MissingPermissions
from discord.utils import find
from discord.utils import get
import... | powerthecoder/Corrupt | corrupt.py | corrupt.py | py | 3,484 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.AutoShardedBot",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 34,
"usage_type": "name"
},
{
"api_name"... |
32475300833 | from sentence_transformers import SentenceTransformer
from get_data import get_qa_pair
import time
import json
import torch
# model = SentenceTransformer('moka-ai/m3e-base')
device = torch.device('mps')
model = SentenceTransformer('/Users/janan/Chinese-medical-dialogue-data/m3e-base')
model.to(device)
print(device)
... | Jananzzzz/medical_robot | utils/text_embedding.py | text_embedding.py | py | 1,621 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sentence_transformers.SentenceTransformer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "get_data.get_qa_pair",
"line_number": 20,
"usage_type": "call"
},
{
"api_na... |
854213644 | from core.modules.vistrails_module import Module, ModuleError
from Matrix import *
from Array import *
import scipy
from scipy import io, sparse
class ArrayUtilityModule(object):
my_namespace = 'scipy|matrix|utilities|Matlab'
class MatlabReader(ArrayUtilityModule, Module):
""" Read a Matlab .mat file into a ... | VisTrails/VisTrails | contrib/NumSciPy/MatrixUtilities.py | MatrixUtilities.py | py | 3,173 | python | en | code | 100 | github-code | 6 | [
{
"api_name": "core.modules.vistrails_module.Module",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "scipy.... |
71645252027 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import string
from django.utils.crypto import get_random_string
from django.db import models
from django.core.exceptions import ObjectDoesNotExist
from django.conf import settings
from django.urls import reverse
from geoposition.fields import GeopositionF... | jekoule/benefits | perks/models.py | models.py | py | 6,248 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sendgrid.SendGridAPIClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.SENDGRID_API_KEY",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 19,
"usage_type": "name"
},... |
70513178429 | import pygame
from pygame.locals import *
import random
pygame.init()
# Colours
WHITE = (255,255,255)
BLACK = (0,0,0)
ORANGE = (220,100,0)
BROWN = (180,80,50)
YELLOW = (240,200,20)
RED = (200,10,10)
BLUE = (10,200,10)
GREEN = (10,10,200)
GREY = (50,50,50)
SKYBLUE = (125,220,240)
c... | hackrushT/python-mastermind | index.py | index.py | py | 3,731 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
75091657786 | """
- author: Ashish Mainali
- email: ashishmainalee@gmail.com
- date: 2021-01-11
"""
# Imports
import os
import snscrape.modules.twitter as sntwitter
import pandas as pd
if __name__ == '__main__':
write_path = os.path.join('data', 'twitter_datasets', 'raw_data', 'covid_tweets_raw.csv')
# Creating list to ... | c0mmand3r3/twitter_covid19 | examples/twitter_scrapping_example.py | twitter_scrapping_example.py | py | 914 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "snscrape.modules.twitter.TwitterSearchScraper",
"line_number": 21,
"usage_type": "call"
},
{
"api_name"... |
41604832645 | from django.urls import path
# from .views import TweetDataViewSet
from . import views
app_urls = [
path('tweets/detailed/', views.detailed_tweet, name='detailed_tweet'),
path('', views.tweet_list, name='home'),
path('search/form/', views.search_tweet, name='search_tweet'),
]
| Brian-Kariu/TwitterScraper | app/urls.py | urls.py | py | 292 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
}
] |
25390438012 | from .sqlite import KalmanTbl
from peewee import *
import time
import logging
from playhouse.shortcuts import model_to_dict
import pandas as pd
import numpy as np
class Kalman():
def kalman_update(self, symbol, C, V, e, yhat, m, Q, K, P, R, Ve, max_vol):
# set initial parameters
delta = 0.00000000000001
... | noqcks/bmex-algo | src/kalman.py | kalman.py | py | 3,497 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.nansum",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.nansum",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.nanprod",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.nanprod",
"line_num... |
27101875303 | import numpy as np
from keras.datasets import mnist
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense, Activation, Convolution2D, Flatten,MaxPooling2D,SimpleRNN,MaxPooling1D
from keras.optimizers import Adam
import tensorflow as tf
import matplotlib.pyplot as plt
im... | weiwow123/ML2018_410321114_2 | mnist_train.py | mnist_train.py | py | 2,888 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "keras.utils.np_utils.to_categorical",
"line_number": 18,
"usage_type": "call"
},
... |
24990580335 | from scipy.io import loadmat
from sklearn.preprocessing import LabelBinarizer
from sklearn.model_selection import train_test_split
from keras.layers import Dense, LSTM, TimeDistributed, Bidirectional, Dropout, Input, Masking, MaxPool2D, Embedding, \
Convolution1D, MaxPooling1D
from keras.models import Model
from ke... | Finallap/WiFi_Sensing_Python | old_training_script/cnn_bilstm.py | cnn_bilstm.py | py | 6,876 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "keras.layers.Input",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.layers.Masking",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras_trans_mask.RemoveMask",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "k... |
38279174893 | from datetime import datetime
from time import sleep
from kucoin.client import Trade
from constants import KU_KEY, KU_PASS, KU_SECRET, KU_URL
import asyncio
def init_client():
return Trade(key=KU_KEY, secret=KU_SECRET, passphrase=KU_PASS, is_sandbox=False, url=KU_URL)
async def main():
client = init_client... | kaikoh95/crypto-trading-bot | kucoin_first_trade.py | kucoin_first_trade.py | py | 3,343 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "kucoin.client.Trade",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "constants.KU_KEY",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "constants.KU_SECRET",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "constants.KU... |
41683515219 | import json, os
from flask import Flask, request, jsonify, send_file
app = Flask(__name__)
def parse_fields(filename, item):
first_frame_number = int(item['FirstFrameNumber']) if isinstance(item['FirstFrameNumber'], str) else item[
'FirstFrameNumber']
last_frame_number = int(item['LastFrameNumber']) ... | Sundayimohowo/flask-json-processor | app.py | app.py | py | 1,756 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
... |
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