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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72665813758 | import requests
import os
import sys
from flask import Flask, jsonify
from flask_restful import Resource, Api, reqparse
from flask import Flask, render_template, request
from flask_uploads import UploadSet, configure_uploads, IMAGES
import uuid
from flask_cors import CORS
from werkzeug.utils import secure_filename
im... | zekkelar/ZEK-LIBRARY | helpers_flask/read_book.py | read_book.py | py | 1,828 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "helpers.controller.URL",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "helpers.controller",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask_restful.Resource",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": ... |
69923233278 |
"""
This is mostly a placeholder for more sophisticated modification but I want it in the flow
Things like syncronizing timestamps between multiple gateways (so timestamps appear in order) and
better mapping of input RSSI/SNR to output RSSI/SNR, etc
"""
import json
import time
import logging
import random
import da... | Carniverous19/helium-DIY-middleman | src/modify_rxpk.py | modify_rxpk.py | py | 3,562 | python | en | code | 36 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utc... |
28925508073 | from xgboost import XGBClassifier
from sklearn.multiclass import OneVsRestClassifier
# Import the `svm` model
from sklearn import svm
from sklearn.model_selection import cross_validate
from sklearn.metrics import recall_score
# Import 'knn'
from sklearn.neighbors import KNeighborsClassifier
# Import 'random for... | Chenyitong33/NIRScanNano_ML | models_comparison.py | models_comparison.py | py | 13,522 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "os.path.realpath",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
73748086717 | import pygame
import sys
sys.path.append("../Shared/Python")
from Frame import App
from System import System
class App:
def __init__(self,name="Procedural System",winSize=(500,500),tick=60):
self.running = True
self.clock = pygame.time.Clock()
self.tick = tick
self.__xdis = winSize... | JacobHutch/Sketches | 2020-09-15-ProceduralSpace/Main.py | Main.py | py | 1,874 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Clock",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line... |
74983634238 | # Plots ccds
import matplotlib.pyplot as plt
import numpy as np
# Plot ccd with accuracy
def plotccd(objectid, accuracylist, test_obs, objecttype, targetdir, colorpath):
soft = []
hard = []
intens = []
accuracy = []
# Open colorfile and append softness/hardness/intensity/accuracy to lists
wi... | JordiTi/int2019 | LeaveOneOut/Plotting.py | Plotting.py | py | 2,830 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ma... |
15738076241 | import argparse
import torch
import numpy as np
from skimage import metrics
import pytorch_ssim
from tqdm import tqdm
from torchmetrics.image import StructuralSimilarityIndexMeasure, PeakSignalNoiseRatio
from torchmetrics.image.fid import FrechetInceptionDistance
def normalize(input_data, norm='centered-norm'):
as... | Arksyd96/slice-based-latent-diffusion | evaluate_samples.py | evaluate_samples.py | py | 6,966 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.from_numpy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.from_numpy",
... |
73408862398 | import re
from typing import List, Any, Union
import ramda as R
from psycopg2 import ProgrammingError
from psycopg2.extras import execute_values as _ps_execute_values
from psycopg2.sql import SQL, Composed
from src.database.db_context import (
close_cursor,
open_cursor,
)
from src.database.types import Cursor... | jakobkolb/python-rest-api | src/database/execute_sql/execute_sql.py | execute_sql.py | py | 3,394 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "src.database.types.DBContext",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "psycopg2.sql.SQL",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "psycopg2.s... |
12502840217 | import requests
import json
from bs4 import BeautifulSoup
from uuid import uuid4
def write_json(data,filename='data.json'):
with open(filename, 'w', encoding='utf-8') as f:
json.dump(data, f, indent=4, ensure_ascii=False)
html = requests.get("https://www.filmaffinity.com/es/listtopmovies.php?list_id=200")... | emelcd/chatting-with-a-flamingo | rs.py | rs.py | py | 1,331 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.dump",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number... |
40566859678 | from datetime import datetime
from sqlalchemy.sql import text
from templatesandmoe.modules.core.database import insert
class AuctionsService:
def __init__(self, database):
self.database = database
def get_bids_for_service(self, service_id):
query = (
'SELECT U.user_id, U.username, ... | PochGee/CMPSC431W_Project | project/src/templatesandmoe/modules/auctions/service.py | service.py | py | 2,904 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.sql.text",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.text",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "templatesandmoe.modules.core.database.insert",
"line_number": 37,
"usage_type": "call"
},
{
... |
3809682808 | # -*- coding: utf-8 -*-
""""""
import argparse, os
from distutils import spawn
# Local
import settings
# Default configuration
DEFAULT_CONFIG = settings.ReadSettings().defaults()
class _ShowDefaults(argparse.Action):
""""""
def __call__(self, parser, namespace, values, option_string=None):
print("{:<9... | hv15/pymuco | pymuco/parse.py | parse.py | py | 3,050 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "settings.ReadSettings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "argparse.Action",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "argparse.Action",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.pat... |
40778043504 | import time
import wave
import json
import azure.cognitiveservices.speech as speechsdk
import logging
def transcribe(audio_file_path, credentials):
# import the credentials from the json file
results = []
with open(credentials) as json_file:
creds = json.load(json_file)
# create the speech co... | Mozartt/Mozartt | STT_Providres/Azure_STT_File.py | Azure_STT_File.py | py | 3,337 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "azure.cognitiveservices.speech.SpeechConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "azure.cognitiveservices.speech",
"line_number": 15,
"usage_type": "name"
},
{
... |
35763907749 | import datetime
import os
import sys
import requests
from PIL import Image
import qrcode
import pyperclip
import shutil
import webbrowser
import subprocess
import platform
version = "2.1.2"
# 通过 GitHub API 获取远端版本号
response = requests.get(
"https://api.github.com/repos/007ayong/Picture-processing/releases/latest"... | 007ayong/Picture-processing | src/app.py | app.py | py | 5,386 | python | zh | code | 2 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "webbrowser.open",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numb... |
39939648545 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import networkx as nx
from torch_geometric.nn import GCNConv
#vfrom torch_geometric.nn import
def denormalize(x, min_val, max_val):
return x * (max_val - min_val) + min_val
class GCN_LSTM_cov... | HJ-Yoo/Covid19_hotspot_prediction | covid_model/models_covid.py | models_covid.py | py | 8,941 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch_geometric.nn.GCNConv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn.ReL... |
27358658347 | #!/usr/bin/python3
from typing import List, Optional
# https://leetcode.com/problems/range-sum-of-bst/
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def rangeSum... | mkssri/competitive_programming | leetcode_interns/OtherLeetCodeProblems/Facebook/Top50/EASY/938_range_sum_of_bst.py | 938_range_sum_of_bst.py | py | 2,720 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
2643035231 | import logging
from django import template
from django.contrib.humanize.templatetags import humanize
from django.template.loader import render_to_string
from django.utils.safestring import mark_safe
from tech.helpers.helpers import getDateTimeFormat, generateJsonSelections, selectorBuilder
from tech.models import Jo... | penguinpower80/isqa8210_assignment3 | tech/templatetags/techtags.py | techtags.py | py | 6,589 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.template.Library",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tech.models.JobLevel.NORMAL",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name... |
37334929620 | import flask
import pickle
import pandas as pd
from flask import Flask, jsonify, render_template
app = flask.Flask(__name__, template_folder='templates')
model1 = pickle.load(open("model1.pkl","rb"))
model1._make_predict_function()
model2 = pickle.load(open("model2.pkl","rb"))
model3 = pickle.load(open("mod... | Vijayb023/Final_project | Final_Project/demo.py | demo.py | py | 1,950 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11... |
27761811422 | import streamlit as st
import streamlit.components.v1 as components
from PIL import Image
st.set_page_config(layout="wide")
menu = ['PORTADA', 'PRESENTACIÓN', 'MOTIVACIÓN', 'CAMINO', 'TECNOLOGÍAS']
choice = st.selectbox('MENU', menu)
if choice == 'PORTADA':
portada = Image.open('img/Portada.jpg')
st.image(p... | as-Solo/Presentacion | main.py | main.py | py | 741 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image"... |
41465986747 | test_list = ["GfG", "", "", "", "", "is", "", "", "best","best","33sumdon","33"]
d={}
i1=[]
for i in test_list:
if i.isalpha() or i.isdigit() or i.isalnum():
i1.append(i)
for e in i1:
d[e]=d.get(e,0)+1
print(d)
print('ahy ?jj'.title())
d1={1:2,3:5}
d2={1:10}
for i in d1:
print(i)
print(10... | Janardhanpoola/100exercises-carbooking | ex_50.py | ex_50.py | py | 1,142 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 59,
"usage_type": "call"
}
] |
41532330298 | from __future__ import absolute_import, print_function, unicode_literals
import six
from six.moves import zip, filter, map, reduce, input, range
import contextlib
import inspect
def _inspect_signature(f):
sig = inspect.signature(f)
if any(v.kind == v.KEYWORD_ONLY for v in sig.parameters.values()):
ra... | nicktimko/multiworm | tests/change_defaults.py | change_defaults.py | py | 1,632 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "inspect.signature",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "inspect.getargspec",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "inspect.signature",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "six.moves... |
38577300739 | #!/usr/bin/env python3
from typing import Union
import numpy as np
import pandas as pd
from disdrodb.l0.standards import (
get_field_nchar_dict,
get_field_ndigits_decimals_dict,
get_field_ndigits_dict,
get_field_ndigits_natural_dict,
get_l0a_dtype,
)
def check_column_names(column_names: list, s... | ltelab/disdrodb | disdrodb/l0/template_tools.py | template_tools.py | py | 15,494 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "disdrodb.l0.standards.get_l0a_dtype",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 80,
"usage_type": "attribute"
},
{
"a... |
21615190925 | #!/usr/bin/env python
# coding: utf-8
# # 1. Loading libraries
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# Removes the limit from the number of displayed columns and rows.
# This is so I can see the entire dataframe when I print it
pd.set_option('display... | olawaleadeyemo234/Data-Science-Projects-UTAustin- | FIFA_2019_Data_Preprocessing.py | FIFA_2019_Data_Preprocessing.py | py | 29,182 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.set_option",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed... |
25745287812 | import codecs
import csv
import itertools
import json
import logging
import re
from decimal import Decimal
from cove.views import explore_data_context, cove_web_input_error
from cove.input.models import SuppliedData
from django.conf import settings
from django.http import HttpResponse, JsonResponse
from django.shortc... | ThreeSixtyGiving/dataquality | cove/cove_360/views.py | views.py | py | 7,611 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cove.input.models.SuppliedData.objects.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cove.input.models.SuppliedData.objects",
"line_number": 35,
"usage_type": "a... |
118766136 | import boto3
import json
import decimal
from boto3.dynamodb.conditions import Key, Attr
def build_speechlet_response(title, output, reprompt_text, should_end_session):
return {
'outputSpeech': {
'type': 'PlainText',
'text': output
},
'card': {
'type': 'Si... | vibhormishra/HackCU-2017 | AlexaVoice/LambdaScript.py | LambdaScript.py | py | 7,408 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "boto3.resource",
"line_number": 197,
"usage_type": "call"
}
] |
8730338453 | import argparse
import json
import sys
import overpy
import time
from pyproj import CRS, Transformer
from shapely.geometry import LineString, MultiLineString, Point
import json_utils
import matplotlib.pyplot as plt
class ObjectCache:
def __init__(self, file="query_cache.json"):
self.query_cache = None
... | amazingsmash/OSM-LiDAR-Segmenter | overpass_roads.py | overpass_roads.py | py | 6,218 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "overpy.Overpass",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "overpy.exception",
"line_numb... |
19900523054 | import numpy
from scipy.stats.distributions import poisson
import pandas
import matplotlib.pyplot as plt
import seaborn as sns
def policy_evaluation(V, pi, probabilitiesx, probabilitiesy,gamma = 0.9, sigma = 1, max_lambda = 12):
"""
Computes the policy evaluation step. It takes a as parameters:
-V :set of arbitrary... | angelrure/Reinforcement-Learning | exercices/Jacks' Car Renting/4.5_Iterative_value_estimation.py | 4.5_Iterative_value_estimation.py | py | 4,666 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.zeros",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "scipy.stats.distributions.poisson.pmf",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "scipy.s... |
5649769322 | """
Test that districts are properly assigned to parsed_instances.
"""
from django.test import TestCase, Client
from datetime import datetime
from common_tags import LGA_ID
import os
PATH_TO_FILE = os.path.realpath(__file__)
CURRENT_DIR = os.path.dirname(PATH_TO_FILE)
FIXTURES_DIR = os.path.join(CURRENT_DIR, "fixture... | mvpdev/nmis | parsed_xforms/tests/district_assignment.py | district_assignment.py | py | 1,626 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
39922548137 | """
A module for interacting with Tacx Bluetooth smart turbo trainers.
This protocol is a variation of the ANT+ FE-C standard (but using BLE instead of ANT+) - Tacx released many of their
trainers before the now common FTMS protocol was finalised.
The protocol also facilitates the use of the NEO Road Feel feature.
S... | zacharyedwardbull/pycycling | pycycling/tacx_trainer_control.py | tacx_trainer_control.py | py | 20,849 | python | en | code | 84 | github-code | 97 | [
{
"api_name": "enum.Enum",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 80,
... |
5942804434 | #"""""""""""""""""
#This module reads contains functions for different color transformations.
#""""""""""""""""
#importing necessry libraries
from paths import Frames_Paths
import numpy as np
import matplotlib.pyplot as plt
from glob import glob
import cv2
from PIL import Image, ImageEnhance
import scipy
from random i... | rezatorabi13/Video_Augmentation | Transformations/Color.py | Color.py | py | 1,586 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "paths.Frames_Paths.TP",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "paths.Frames_Paths",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "paths.Frames_Paths.OP",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name... |
42759204292 | import functools
from tkinter import *
import os
count = 0
def peep(text):
os.system('say ' + str(text))
global count
count += 1
return count
root = Tk(None, "pp", "rr")
label_texts = (
"How are you?",
"Hello Peter Junior!",
"Hallo Peter Senior",
"Привет Ольга")
for label_text in l... | PeterEdigerSen/tkinter_1 | src/gui_for_voice.py | gui_for_voice.py | py | 868 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.system",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 24,
"usage_type": "call"
}
] |
28320435568 | import os
from flask import Flask, url_for
def create_app(test_config=None):
"""Create and configure an instance of the Flask application."""
app = Flask(__name__, instance_relative_config=True)
app.config.from_mapping(
DEBUG=True,
SECRET_KEY='dev',
DATABASE=os.path.joi... | urbinacity/guap.io | guapio/__init__.py | __init__.py | py | 1,506 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number":... |
73169827520 | import requests, json
from functions import url
import os
from dotenv import load_dotenv
def sendEmail(customer_id, amount, item, recipient_org):
#Header
load_dotenv()
serviceName = 'sendEmail'
userID = os.getenv('RETAIL_USER_ID')
PIN = os.getenv('RETAIL_USER_PIN')
OTP = os.getenv('RETAIL_OTP')
... | greggtan/IS444_DBEA | backend/GMS/sendingEmail.py | sendingEmail.py | py | 2,056 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 1... |
74984766397 | from django.shortcuts import render,redirect
import requests
import json
#key: d819766523ae4583bc4bc4f8ac4deaab
#https://api.spoonacular.com/recipes/complexSearch?query=pasta
base_url = "https://api.spoonacular.com/recipes/"
apikey = "d819766523ae4583bc4bc4f8ac4deaab"
def home(request):
randomRecipeApi = requests.ge... | kartikabuj/Recipedes | Recipe/views.py | views.py | py | 3,386 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.re... |
8967117590 | from tkinter import *
from tkinter.ttk import *
from tkinter import filedialog
from selenium import webdriver
import requests
fP= "questions.txt"
s =[]
contents = []
questions = []
hrefs = []
list_of_small_words = ["the","of","is","a","to","by","their"]
searchparams = []
#GUI
... | Karalinga/CheggScraper | guiTest.py | guiTest.py | py | 2,768 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tkinter.filedialog.askopenfile",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 91,
"usage_type": "call"
},
{
"api_n... |
25849097680 | # import area csv file
import os
from sqlalchemy import create_engine, MetaData, Table
import pandas as pd
engine = create_engine("postgresql://dorowiemann@localhost:5432/power_maps")
df_province = pd.read_sql_table("province", engine, columns=['name','id'])
dict_province = df_province.set_index('name').to_dict('int... | do6/Learning-Driven-Power-Maps | import_area.py | import_area.py | py | 1,715 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_table",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pa... |
12823888950 | import crack_watch
import bot
import time
import logging
from threading import Thread
class Watcher(Thread):
def __init__(self, every, subscribe, cursor):
super().__init__()
self.every = every
self.subscribe = subscribe
self.cursor = cursor
@staticmethod
def send_info_to_... | dmtrbrlkv/CrackWatcherBot | app/main.py | main.py | py | 2,179 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "threading.Thread",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "bot.send_game_info",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "crack_watch.CrackWatc... |
30037680542 | from Matcher import Matcher
from ResumeProcessor import ResumeProcessor
from FacadeStub import FacadeStub
from ResumeNode import ResumeNode
from JobDescNode import JobDescNode
from ScorerStub import ScorerStub
from Scorer import Scorer
import json, re
import jsonpickle
def openFile(eFile):
with open(eFile, encodi... | Dauth/CV-Parser | ControllerStub.py | ControllerStub.py | py | 1,221 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "FacadeStub.FacadeStub",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Matcher.Matcher",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "ResumeNode.ResumeNode... |
40484464974 | from functools import reduce
from math import atan2, sqrt
from typing import List
import numpy as np
from scipy import linalg
from mindquantum.core import gates
from mindquantum.core.circuit import Circuit
from mindquantum.core.gates import QuantumGate
from mindquantum.utils.f import is_power_of_two
M = np.array([[1... | mindspore-ai/mindquantum | mindquantum/algorithm/compiler/decompose/utils.py | utils.py | py | 14,601 | python | en | code | 48 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": ... |
27380904693 | import numpy as np
import cv2
cap = cv2.VideoCapture('output.avi')
i = 0
while(cap.isOpened()):
ret, frame = cap.read()
#depth_data = depth.as_frame().get_data()
#np_image = np.asanyarray(depth_data)
#frame_list.append(np_image)
#img = np.zeros([np_image.shape[0],np_image.shape[1],3], dtype=np.uint... | ratmcu/intelrealsencewhatnot | playback.py | playback.py | py | 988 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.uint16",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line... |
74974252157 | from ray.rllib.env.multi_agent_env import MultiAgentEnv
from gym.spaces import Tuple, Discrete
class SeparatorEnv(MultiAgentEnv):
randomness_space = Tuple((Discrete(2), Discrete(2), Discrete(2), Discrete(2), Discrete(2)))
def __init__(self, environment_class, double_antagonist=False, config=None):
... | JoeJBenton/adversarial_env_generator | separator_wrapper.py | separator_wrapper.py | py | 6,743 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "ray.rllib.env.multi_agent_env.MultiAgentEnv",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Tuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gym.spaces.Discrete",
"line_number": 7,
"usage_type": "call"
},
{
"api... |
32103409548 | import os
import flask
import pyrebase
from bookyrself import user, main, event
app = flask.Flask(__name__)
config = {
"apiKey": os.environ['FIREBASE_API_KEY'],
"authDomain": "bookyrself-staging.firebaseapp.com",
"databaseURL": "https://bookyrself-staging.firebaseio.com",
"storageBucket": "bookyrsel... | manbradcalf/Artie-Flask | bookyrself/__init__.py | __init__.py | py | 618 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pyrebase.initialize_app",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bookyrself.user.bp... |
9009388244 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 30 10:21:48 2016
@author: Niko
"""
import os
os.chdir('c:/users/prost/projects/flask-app-template-master/app/darknet/')
with open("/users/niko_yakovlev/Documents/projects/darknet/data/dog.jpg", "rb") as imageFile:
file = imageFile.read()
with open("/users/niko_yakovle... | nikodrum/face-recognition-app | test.py | test.py | py | 504 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.chdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 18,
"usage_type": "call"
}
] |
40863346089 | # downloading region
import io
import logging
import sys
from pathlib import PurePath, Path
import aiofiles
from PIL import Image
IMG_JPG='JPEG'
IMG_TIF='TIFF'
JPG_EXT= 'JPG'
TIF_EXT= 'TIF'
# The keys are the image file types as extracted from the blob
# The values are lists of possible file extension which corres... | buda-base/volume-manifest-builder | v_m_b/image/generateManifest.py | generateManifest.py | py | 5,111 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pathlib.PurePath",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "aiofiles.open",
"line_... |
22938100645 | #!/usr/bin/env python
import json
import codecs
from subprocess import Popen, PIPE
from urllib.parse import urlparse, urlencode, parse_qs
from urllib.request import urlopen, Request
serveraddr = '127.0.0.1'
authorization_endpoint = 'http://'+serveraddr+'/oauth2/auth'
token_endpoint = 'http://'+serveraddr+'/oauth2/to... | laincloud/sso | test.py | test.py | py | 2,014 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "codecs.getreader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "subprocess.P... |
8974442508 | from __future__ import annotations
from typing import Dict, List
from vqpy.obj.vobj.base import VObjBaseInterface, VObjGeneratorType
from collections import defaultdict
from vqpy.operator.video_reader import FrameStream
class Frame:
def __init__(self, ctx: FrameStream):
self.ctx = ctx
# {vobj_ty... | vqpy/vqpy | vqpy/obj/frame.py | frame.py | py | 2,812 | python | en | code | 21 | github-code | 97 | [
{
"api_name": "vqpy.operator.video_reader.FrameStream",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "vqpy.obj.vobj.base.VObjGeneratorType",
"line_number": 14,
"usage_type": "name"
},
... |
30900882624 | from django.test import TestCase
from django.urls import reverse
from faq.models import faq
class FAQTest(TestCase):
def setUp(self):
# set up fake faq quesirons
for i in range(2):
entry = faq(
question=str(i) + "What is Civil Service?",
answer=str(i) + ... | gcivil-nyu-org/nycCivilServiceJobs | faq/tests.py | tests.py | py | 911 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "faq.models.faq",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.urls.re... |
29804815230 | import torch
from torch import nn
from torch.nn import Conv2d
from torch.nn import functional as F
from complexLayers import ComplexSequential,ComplexConv2d,ComplexBatchNorm2d,ComplexConvTranspose2d,ComplexMaxPool2d,ComplexReLU,ComplexDropout2d
from complexFunctions import complex_relu, complex_max_pool2d
import net_u... | to314as/bir_tools | complex_end_to_end.py | complex_end_to_end.py | py | 11,359 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "complexLayers.ComplexSequential",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "complex... |
37256540294 | from PySide6 import QtGui
from PySide6.QtCore import Qt, Slot, QRectF, QSize, QPoint
from PySide6.QtWidgets import (QGraphicsScene, QGraphicsView, QScrollArea, QSizePolicy, QWidget)
def clamp(x, min, max):
if x < min:
return min
if x > max:
return max
return x
class DropableGraphicsScene... | QuinnFreedman/isr-gui | image_comparator_widget.py | image_comparator_widget.py | py | 8,829 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PySide6.QtWidgets.QGraphicsScene",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QGraphicsView",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PySide6.QtGui.QPen",
"line_number": 57,
"usage_type": "call"
},
{
... |
4292785369 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import sys
import imageio
import numpy as np
im = imageio.imread(sys.argv[1])
height, width = im.shape
print('<?xml version="1.0" standalone="no"?>')
print('<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">')
print('<svg ... | tinankh/GOD | create_svg.py | create_svg.py | py | 1,645 | python | en | code | 10 | github-code | 97 | [
{
"api_name": "imageio.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number"... |
29041438955 | #!/usr/bin/env python3
"""
use defaultdict for movie database
"""
import csv
from collections import defaultdict, namedtuple, Counter
vie_data = 'https://raw.githubusercontent/com/pybites/challenges/' \
'solutions/13/movie_metadata.csv'
vie_csv = 'moves.csv'
Movie = namedtuple('Movie', 'title year score')... | johnroge/100days | movie_data.py | movie_data.py | py | 1,138 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.namedtuple",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collect... |
1148877422 | import json
from google.cloud import firestore
import logging
import os
logger = logging.getLogger()
logger.setLevel(logging.INFO)
subscription_key = os.environ["COMPUTER_VISION_SUB_KEY"]
endpoint = os.environ["COMPUTER_VISION_ENDPOINT"]
s3Bucket = os.environ["S3_BUCKET"]
analyze_url = endpoint + "vision/v3.1/analy... | hpfpv/cloudguru-image-recognition-multicloud | backend/aws/service/functions/getAnalysis.py | getAnalysis.py | py | 1,355 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"l... |
1827623609 | # coding=utf-8
import logging
import cv2
logger = logging.getLogger(__name__)
class BoundingBox(object):
"""
"""
def __init__(self, pid, x, y, w, h, W=-1, H=-1):
"""Constructor
Args:
pid :
x :
y :
w :
h :
W : image ... | idiap/person_manager | scripts/misc.py | misc.py | py | 4,337 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",... |
11062993432 | from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Dict, Optional
from alaric import AQ
from alaric.comparison import EQ
from bot_base import NonExistentEntry
if TYPE_CHECKING:
from suggestions import State
log = logging.getLogger(__name__)
class GuildConfig:
def __init__(... | suggestionsbot/suggestions-bot | suggestions/objects/guild_config.py | guild_config.py | py | 3,695 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Optiona... |
74732799679 | #!/usr/bin/env python3
import os
import sys
import click
import re
@click.command()
@click.argument('cosmic_file', type=click.File('r'), required=True)
@click.argument('output_file', type=click.File('w'), required=False, default=sys.stdout)
def cli(cosmic_file, output_file):
"""replaces SYMBOL_JUNK with SYMBOL in co... | kotoroshinoto/TCGA_MAF_Analysis | gooch_maf_tools/commands/names/cosmic_name_clipper.py | cosmic_name_clipper.py | py | 1,922 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "click.argument",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "click.File",
"line_number":... |
940827449 | # -*- coding: utf-8 -*-
# SERIALIZERS DA API - UNB ALERTA - REST FRAMEWORK
# SERIALIZERS: Converter objetos Python para JSON e de JSON para objetos Python
from django.contrib.auth.models import Group, User
from ocorrencia.models import Categoria, Local, Ocorrencia
from rest_framework import serializers
from usuari... | victormartorelli/unb-alerta | api/serializers.py | serializers.py | py | 3,271 | python | pt | code | null | github-code | 97 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 20,
"usage_ty... |
33236886696 | #! /usr/bin/env python3
# -*- encoding: utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
"""
L.ConvolutionND(3... = nn.Conv3d
L.DeconvolutionND(3... = nn.ConvTranspose3d
F.concat([]) = torch.cat([],dim=1)
F.average_pooling_nd(x) = nn.AvgPool3d(2,2)(x)
F.sum(x,axis=1,keepdims=True) = to... | Plusman-LLC/multi-modal | nets/HALF_UDEN.py | HALF_UDEN.py | py | 3,693 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.functional.interpolate",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name... |
38658509070 | import os
import flask
from celery import Celery
from celery import signals
from celery.schedules import crontab
from kombu.utils.url import safequote
from airq import config
BEAT_SCHEDULE = {}
if not config.TESTING:
BEAT_SCHEDULE["models_sync"] = {
"task": "airq.tasks.models_sync",
"schedule":... | airq-dev/hazebot | app/airq/celery.py | celery.py | py | 2,211 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "airq.config.TESTING",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "airq.config",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "celery.schedules.crontab",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "celery.... |
1001742445 | #!/usr/bin/env python
# coding: utf-8
# In[9]:
#import packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# In[10]:
#reading data into the jupyter notebook
data = pd.read_csv("marketing_data.csv")
data.head()
# In[11]:
#general information about data
data.... | mugdhaparbat/PortfolioProjects | Marketing Analytics Winter Break Project.py | Marketing Analytics Winter Break Project.py | py | 6,864 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 134,
"usage_type": "call"
},
{
"api_name": "matplotl... |
3556284813 | import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.cross_validation import cross_val_score
from sklearn.model_selection import KFold
from sklearn.datasets import make_classification
import numpy as np
from sklearn.svm import SVC
import matplotlib.pyplot as p... | Oussamab21/Machine-Learning-Lab- | SVM/4.py | 4.py | py | 6,157 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 51,
"usage_type": "call"
},
{
"api_name"... |
72616642239 | #repairORTree.py
#Function Purpose: The primary function in this file is repairSchedule(), you can pass a reference schedule to it and repair it to produce a valid, complete schedule.
# If you want to generate a valid, complete schedule from scratch, just set "useInspiration" to False so that the tree ... | MackenzieBowal/GeneticAlgorithm_SoccerScheduling | repairORTree.py | repairORTree.py | py | 22,638 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "node.RepairNode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "queue.PriorityQueue",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_num... |
43616596066 | # CSCI320 - Toys4Us
# Authors:
# Nicole Ganung
# Chris Renninger
# Wegmans UI Database
import psycopg2
import datetime
conn = psycopg2.connect(host="reddwarf.cs.rit.edu", user="p32002h", password="eigo0oapooj8ENgeGhue", dbname="p32002h")
cursor = conn.cursor();
def shoppersClubCustomer():
shoppersClubId = input("P... | nicoleganung/Toys4Us | Wegmans.py | Wegmans.py | py | 8,345 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "psycopg2.connect",
"line_number": 10,
"usage_type": "call"
}
] |
18321054589 | import numpy as np
from scipy.special import erf,erfc
def asym(x):
return -np.exp(-x**2)/np.sqrt(np.pi)/x*(1.-1./(2.*x**2))
def calculate_Gaussian(x, mu, sigma2, low, high):
a = (low-mu)/np.sqrt(2*sigma2)
b = (high-mu)/np.sqrt(2*sigma2)
norm = np.sqrt(sigma2*np.pi/2)*(-erf(a) + erf(b))
# If diff... | tcallister/BBH-spin-q-correlations | code/support.py | support.py | py | 3,609 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.exp",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 8,
... |
31439894117 | from django.db import models
from django.utils.dateformat import format
from django.conf import settings
from cached_property import cached_property_with_ttl
from core.models import Pair, Market, Currency
from core.common.models import IndexTimeStampedModel
from decimal import Decimal
from payments.utils import money_... | hossamelneily/nexchange | ticker/models.py | models.py | py | 6,231 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "nexchange.utils.get_nexchange_logger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "core.common.models.IndexTimeStampedModel",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.db.models.DecimalField",
"line_number": 20,
"usage_t... |
9433275807 | from typing import Optional
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def hasCycle(self, head: Optional[ListNode]) -> bool:
done = 999999
while head is not None:
if head.val == done:
return True
... | w40141/LeetCode | 0141_Linked_List_Cycle/solution.py | solution.py | py | 414 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
}
] |
30951949672 | import logging
import uuid
from aiokafka import AIOKafkaProducer
from aiokafka.errors import KafkaError
from fastapi import APIRouter, Depends
from models.progress import MovieWatchProgress, MovieWatchProgressReq, ProgressModel
from services.content_service import MovieContentService, get_movie_content_svc
from utils... | leks20/UserGeneratedContent | api_service/webapp/v0/api/progress.py | progress.py | py | 1,572 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.progress.MovieWatchProgressReq",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "aiokafka.AIOKafkaProducer",
"line_number": 25,
"usage_type": "name"
},
{
... |
4466919797 | import json
from typing import Any, Callable, Literal, Mapping, Optional, Union, overload
from urllib.parse import quote
import requests
from orchestrate.convert import (
ConvertCdaToFhirR4Response,
ConvertCdaToPdfResponse,
ConvertFhirR4ToCdaResponse,
ConvertFhirR4ToOmopResponse,
ConvertHl7ToFhirR4... | CareEvolution/OrchestrateSDK | python/orchestrate/_internal/api.py | api.py | py | 40,494 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Optional",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"lin... |
75010633280 | # This package will contain the spiders of this Scrapy project
import os
from datetime import datetime as dt
import scrapy
from redditcrawler.items import RedditItem
def get_subs_to_scrape(item):
# pulls list of subreddits to scrape from text file
subreddits = []
filepath = '/Users/selenacor... | cardosel/Topic-Modeling-In-Event-Driven-Stock-Price-Prediction | redditcrawler/redditcrawler/spiders/__init__.py | __init__.py | py | 2,133 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "scrapy.Spider",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "redditcrawler.items.RedditItem",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 50,
"usage_type": "call"
},
{
"api_nam... |
24469337460 | from selenium import webdriver
import time
from bs4 import BeautifulSoup
import random
# start web browse
browser = webdriver.Chrome()
# putting url into a variable
URL =("https://www.youtube.com/live_chat?is_popout=1&v=gh-IsBGAUCY")
# creating keywords
keyword1 = "hello"
keyword2 = "Hello"
# creatin... | rahmansahinler1/webScrapingBot | drawingBot.py | drawingBot.py | py | 2,036 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSo... |
433106117 | import instasent
import os
import logging
from celery import shared_task
from redmail import EmailSender
from dotenv import load_dotenv
load_dotenv()
# Logs Config
APP_ENV = os.environ.get('APP_ENV', default='')
def ConfigEnv():
if APP_ENV == 'DEV':
return logging.DEBUG
elif APP_ENV == 'PROD':
... | jvncode/test_DRF_Celery | users/tasks.py | tasks.py | py | 2,031 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
... |
25219844730 | from bs4 import BeautifulSoup
import urllib.request
import re
from urllib.parse import urlparse
import validators
def filter_url(url):
url = url.replace("\n", "")
url = url.replace(",", "")
url = url.replace("\\", "")
return url
def get_html(url):
try:
return urllib.request.urlopen(url, t... | perara/Graphing-and-Crawling | Worker.py | Worker.py | py | 1,572 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_nam... |
35224503535 | import os
import sys
import torchvision
from torch.utils.data import DataLoader
from torchvision.transforms import transforms
CUR = os.path.dirname(os.path.abspath(__file__))
PROJECT_ROOT = os.path.dirname(os.path.dirname(CUR))
def get_data_fashion_mnist(batch_size, resize=None):
trans = []
# 重新设置size
... | nmszt55/Learn-Pytorch-By-D2DL-Zh-CN | Code/Utils/load_data.py | load_data.py | py | 1,370 | python | en | code | 0 | github-code | 97 | [
{
"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... |
21937294261 | import os
import torch.nn as nn
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dast
import torchvision.transforms as transforms
import torchvision.utils as vutils
import numpy as np
import matplotlib.pyplot as plt
from base_dcgan_model import BaseDcganGenerator, BaseDcganDiscriminato... | Jayh625/MS-AI-School | Python/0816/base_dcgan_train.py | base_dcgan_train.py | py | 6,885 | python | ko | code | 1 | github-code | 97 | [
{
"api_name": "torch.nn.init.normal_",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn.init",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.init.norma... |
21745026552 |
import datetime
import time
import pygame
import serial
# inicialização
pygame.init()
pygame.joystick.init()
controle = pygame.joystick.Joystick(0)
controle.init()
arduino = serial.Serial("COM6", 115200)
time.sleep(2)
def formatacao(valor):
byteint = str(round(((valor + 1) * 127)))
return byteint
def envi... | cauafroes/arduino-nrf24-controller | Painel/ConDashPy_working.py | ConDashPy_working.py | py | 4,772 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.joystick.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.joystick",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.joystick.Jo... |
23699284613 | import base64
import logging
import json
import uuid
import ufora.util.ManagedThread as ManagedThread
import ufora.native.StringChannel as StringChannelNative
import traceback
SUPRESSION_COUNT = 1
class Message(object):
def __init__(self, channelGroup, channelId, hostId, sequenceNumber, content):
assert c... | ufora/ufora | ufora/networking/ChannelDemuxer.py | ChannelDemuxer.py | py | 8,809 | python | en | code | 494 | github-code | 97 | [
{
"api_name": "uuid.uuid4",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "ufora.native.StringChannel.StringChannel",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name":... |
74183115519 | import streamlit as st
import sqlite3
import pandas as pd
import matplotlib.pyplot as plt
# Page configuration
st.set_page_config(
page_title="NBA League Leaders",
page_icon=":basketball:"
)
st.header("NBA Stat League Leaders")
st.write("*With minimum of 10 games played")
# Getting top 5 individual stat lead... | PrestonRembis/nba-database-project | pages/leagueLeaders.py | leagueLeaders.py | py | 6,335 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlite3.con... |
21851838376 | import threading
import logging
import socket
logging.basicConfig(level=logging.INFO)
server_address = ('localhost', 8052)
# Эмулятор Unity.
class DmxPyTry:
def __init__(self):
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
logging.info(f"connecting to {server_address[0]} port {ser... | GVarya/SceneP | server/unity_tester.py | unity_tester.py | py | 1,073 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
... |
22079638257 | from menace import Menace
import logging
class FailNetwork(Menace):
""" Openstack implementation of Fail Network.
Drops a percentage of packets.
"""
def can_apply(self):
return (self.instance != None and
self.client.is_owned_instance(self.instance))
def apply(self):
... | balajiiyer-ufl-projects/OpenStackVaccine | openstack/fail_network.py | fail_network.py | py | 853 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "menace.Menace",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "logging.error",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 30,
"usage_type": "call"
}
] |
6356515671 | import os.path
import asyncio
import multiprocessing
import tornado.httpserver
import tornado.web
import tornado.options
from tornado.options import define, options
from file_management import UploadPackageHandler
from task_management import (AddTaskHandler, CancelTaskHandler, GetTaskHandler, GetCompletedTasksHandle... | Topaz1618/PyImageDetectNet | tests/apps_bak.py | apps_bak.py | py | 4,296 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tornado.options.define",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "task_queue_listener.listen_idle_detect_task_workers",
"line_number": 38,
"usage_type": "cal... |
12836696123 | from glob import glob
# import itertools as it
from os.path import basename, splitext, join, abspath
import re
import subprocess
import toolz.curried as z
import argparse
import yaml
fst = z.operator.itemgetter(0)
snd = z.operator.itemgetter(1)
NOTEBOOK_DIR = '_notebooks'
# NOTEBOOK_HTML_DIR = 'ipy_html'
NOTEBOOK_HTM... | wcbeard/blog-stage | nb2html.py | nb2html.py | py | 2,747 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "toolz.curried.operator.itemgetter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "toolz.curried.operator",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "toolz.curried",
"line_number": 10,
"usage_type": "name"
},
{
"api_n... |
20386614210 | import streamlit as st
import altair as alt
import plotly.express as px
import pandas as pd
def main():
df = pd.read_csv('./data/lang_data.csv')
st.dataframe( df )
# 멀티셀렉트를 만들어서,
# 컬럼이름 중에서 프로그래밍 언어를 보여주고,
# 유저가 선택한 언어만 차트로 표시하려 한다.
print( df.columns[ 1 : ] )
column_menu = df.c... | blockenters/yh-k5 | 02_st_강의내용/app10.py | app10.py | py | 2,489 | python | ko | code | 1 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.dataframe",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.multiselect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "streamlit.l... |
35597770621 | import cv2
import torch
import torchvision.transforms as transforms
import numpy as np
from PIL import Image
import json
# Load the pre-trained model
model = torch.hub.load('pytorch/vision:v0.9.0', 'resnet50', pretrained=True)
model.eval()
# Define the classes of the model
#classes = ['airplane', 'automobile', 'bird'... | FancyGentlemen/Learn_Machine_Learning | ml/webcam_main.py | webcam_main.py | py | 1,990 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.hub.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose"... |
31179792669 | import requests
import logging
import signal
from loggingpy.log import JsonFormatter
import logging.handlers
from .sender import HttpSender
class SimpleHttpSink(logging.Handler):
"""
Sends every log message in series one-by-one.
"""
def __init__(self, endpoint_uri: str):
logging.Handler.__in... | felfel/logging-py | loggingpy/sink.py | sink.py | py | 1,958 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.Handler",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.Handler.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.Handler",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "lo... |
797515007 | # -*- coding: utf-8 -*-
"""
@File : responses.py
@Time : 2023/3/23 5:53 下午
@Author : xxlaila
@Software: PyCharm
"""
from django.http import JsonResponse
class BaseResponse(JsonResponse):
def __init__(self, data, code=None, msg=None, **kwargs):
data = {
'code': code if code is not None el... | xxlaila/domainer | common/responses.py | responses.py | py | 465 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "django.http.JsonResponse",
"line_number": 10,
"usage_type": "name"
}
] |
7660611537 | # -*- coding: utf-8 -*-
"""
Created on Tue May 10 00:22:52 2022
@author: longj
"""
'''
************ 3.4 定义一个 reference DEM limit ************
# ref_dem_limit
# 使用 SRTM 90 m DEM, TBD = 120 m
'''
import sys
import numpy as np
import csv
from osgeo import gdal
from gdalconst import *
'''
****** 提取在 ... | VoyagerLong/2022- | output/1/8_De_trend_ref_DEM_limit.py | 8_De_trend_ref_DEM_limit.py | py | 4,044 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "osgeo.gdal.AllRegister",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "osgeo.gdal.Open",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"l... |
2028719931 | import random
import numpy as np
import matplotlib.pyplot as plt
import math
import time
import os
import collections.abc
container_abcs = collections.abc
import scipy.io as sio
import numpy.linalg as LA
import scipy.spatial.distance as scipy_spatial_dist
def intx(x):
return(int(x[0]), int(x[1]))
def cos_cdis(x... | yanconglin/VanishingPoint_HoughTransform_GaussianSphere | vpd/models/sphere/sphere_utils.py | sphere_utils.py | py | 2,575 | python | en | code | 62 | github-code | 97 | [
{
"api_name": "collections.abc.abc",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "collections.abc",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "scipy.spatial.distance.cdist",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "s... |
22034661542 | import hashlib
import logging
import os
LOG = logging.getLogger(__name__)
SHARDS = int(os.environ.get("SHARDS", 1))
SHARD_ID = int(os.environ.get("SHARD_ID", 0))
def is_in_shard(value):
if SHARDS == 1:
return True
h = hashlib.new("md5", usedforsecurity=False)
h.update(value.encode())
value_... | app-sre/qontract-reconcile | reconcile/utils/sharding.py | sharding.py | py | 839 | python | en | code | 25 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"l... |
9991149525 | #!/usr/bin/python
# Compile the cognate assignment result (JSON) to the LaTeX source file of correspondence pattern (Doug-style) with comparison of two different transducers
# Fixed-location files:
# source.tsv: lexical data
# Standard input:
# json containing:
# langsUnderStudy: something like ['Maru', 'Old_Burm... | knightss27/capr | server/compare_fst.py | compare_fst.py | py | 19,835 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "sys.stderr",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.flush",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "re.split",
"line... |
73528041278 | #!/usr/bin/env python
''' TODO
add a way to update the shell file instead of overwriting it
'''
from argparse import ArgumentParser
from datetime import datetime
import json
import os
import sys
here = os.path.abspath(os.path.dirname(__file__))
ALIAS_PATH = os.path.join(here, 'aliases.json')
EDITOR_CONFIG_PATH = os... | c0lon/env | setup.py | setup.py | py | 3,915 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
18099718776 | import nltk # Import all the libraries need to build the seq2seq model
from nltk.stem.lancaster import LancasterStemmer
stemmer = LancasterStemmer()
import numpy as np
import tflearn
import tensorflow as tf
import random
import pickle
import json
ERROR_THRESHOLD = 0.25 # The error should not be greater than this val... | CoderYashK/Probabilistic_bot | bot.py | bot.py | py | 2,468 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "nltk.stem.lancaster.LancasterStemmer",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pi... |
35170867627 | import torch
import unittest
from torch_blade.version import cuda_available
from tests.disc.testing_base import DiscTestCase
class TestDiscGroupNorm(DiscTestCase):
def _test_group_norm(self, groupnorm):
test_data = torch.randn([2, 320, 64, 64], device=self.device)
annotation = ([-1, -1, -1, -1], t... | alibaba/BladeDISC | pytorch_blade/tests/disc/ops/test_group_norm.py | test_group_norm.py | py | 746 | python | en | code | 707 | github-code | 97 | [
{
"api_name": "tests.disc.testing_base.DiscTestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.randn",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch... |
241015877 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('partner', '0007_auto_20160417_0253'),
]
operations = [
migrations.AddField(
model_name='shop',
name=... | mnzil/marketplace | apps/partner/migrations/0008_auto_20160506_1821.py | 0008_auto_20160506_1821.py | py | 650 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
29126047574 | from collections import deque
from copy import deepcopy
import time
from template import Agent, GameRule
import random
import heapq
from Azul.azul_model import AzulGameRule as GameRule
from Azul.azul_model import AzulState as GameState
from itertools import count
THINKTIME = 0.95
NUM_PLAYERS = 2
class myAgent(Agent... | zimop/MCTSPlayer | agents/t_053/greedyBFS.py | greedyBFS.py | py | 2,581 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "template.Agent",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "Azul.azul_model.AzulGameRule",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Azul.azul_model.AzulState",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": ... |
5155476361 | import os
import sys
import cv2
import time
import numpy as np
import easyocr
image_dir = sys.argv[1]
out_dir = sys.argv[2]
debug_dir = None
if (len(sys.argv) == 4):
print("Debug out on")
debug_dir = sys.argv[3]
reader = easyocr.Reader(['en'])
start_time = time.time()
ims = os.listdir(image_dir)
im_num = l... | kyleaj/MultimodalHateSpeech | Preprocessing/GetTextMasks.py | GetTextMasks.py | py | 1,924 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number":... |
36933231837 | import asyncio
import grpc
import logging
import time
from payment_pb2 import (
ProcessPaymentRequest,
ProcessPaymentReply,
)
from payment_pb2_grpc import (
PaymentService,
add_PaymentServiceServicer_to_server,
)
from tasks import process_payment
class PaymentServer(PaymentService):
async def Pr... | kumokay/my_learning | 09_minikube/example/project/payment/src/server.py | server.py | py | 1,479 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "payment_pb2_grpc.PaymentService",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "payment_pb2.ProcessPaymentRequest",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "grpc.aio",
"line_number": 22,
"usage_type": "attribute"
},
{
"a... |
73434346558 | import datetime, numpy, os, sys, pathlib
from PyQt5 import QtGui, QtWidgets, QtCore
import pyqtgraph as pg
import numpy as np
smallfont = QtGui.QFont()
smallfont.setPointSize(7)
verysmallfont = QtGui.QFont()
verysmallfont.setPointSize(5)
def remove_size_props(o, fcol=False, button=False, image=False):
... | yzerlaut/old_physion | physion/misc/guiparts.py | guiparts.py | py | 37,379 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PyQt5.QtGui.QFont",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QFont",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_... |
29579490146 | import numpy as np
import matplotlib.pyplot as plt
from games import NormalFormGame
from tools import *
import math
# %% Player cell
class Player:
def __init__(self, model, playerIndex, verbose=False, strategy='UCB'):
self.verbose = verbose
self.strategy = strategy
self.model = model
... | alexisthual/Multi-armed-bandit-and-zero-sum-games | player_normalForm.py | player_normalForm.py | py | 3,114 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.random.random",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"li... |
18852074118 | # Wydruk polskich świąt z datami - z pliku csv.
import pandas as pd
import numpy as np
from tabulate import tabulate
path = ('holidays_csv.csv')
df = pd.read_csv(path)
# kasuj kolumnę province code
df.__delitem__('Province Code')
#print(df.loc[0:3, lambda x: ['Country Code']])
#print(df.loc[0:3, ['Country Code', 'H... | polmichal/exercises | holidays/holiday.py | holiday.py | py | 1,225 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 39,
"usage_type": "call"
}
] |
6344773856 | """
Module containing classes that facilitate the writing of data to file
"""
import logging
import numpy as np
from netCDF4 import Dataset
from cftime import num2pydate
from cftime import date2num
import pathlib
try:
import configparser
except ImportError:
import ConfigParser as configparser
from pylag.data... | pmlmodelling/pylag | pylag/netcdf_logger.py | netcdf_logger.py | py | 14,225 | python | en | code | 10 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pylag.exceptions.PyLag... |
1334264193 | from errors import ParseError
from expr import *
from stmt import *
from tokenclass import *
class Parser:
__synchronization_tokens: list[TokenType] = [
TokenType.CLASS,
TokenType.FUN,
TokenType.VAR,
TokenType.FOR,
TokenType.IF,
TokenType.WHILE,
TokenType.PR... | MtScience/PyLox | src/parser.py | parser.py | py | 13,350 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "errors.ParseError",
"line_number": 156,
"usage_type": "name"
},
{
"api_name": "expr.name",
"line_number": 196,
"usage_type": "attribute"
},
{
"api_name": "expr.obj",
"line_number": 198,
"usage_type": "attribute"
},
{
"api_name": "expr.name",
"li... |
40564618857 | from tkinter import *
import tkinter
from PIL import Image, ImageTk
from tkinter import ttk
root = Tk()
root.geometry("150x200")
w = Label(root, text='GeeksForGeeks',
font="50")
w.pack()
scroll_bar = Scrollbar(root)
scroll_bar.pack(side=RIGHT,
fill=Y)
mylist = Listbox(root,
... | korzinkagribov/02_08_2022 | main_folder/new_mama3.py | new_mama3.py | py | 791 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tkinter.Canvas",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
... |
26410234369 | from collections import deque
from .task import Future, Task
class AsyncQueue:
def __init__(self, maxsize: int = None):
self._queue: deque[Task] = deque()
self._wait_get: deque[Future] = deque()
self._wait_put: deque[Future] = deque()
self._maxsize: int = maxsize if maxsize is not... | WolframAlph/asynciyo | asynciyo/queue.py | queue.py | py | 1,637 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "task.Task",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "task.Future",
"line_nu... |
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