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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
38043006452 | import cloudinary.uploader
import requests
# define your S3 bucket name here.
S3_BUCKET_NAME = "akshayranganath"
def get_file_name(url, transformation):
# transformation will be of the format "t_text_removed/jpg".
# remove the "/jpg" part and the "t_" part
transformation = transformation.rsplit('/',1)... | akshay-ranganath/create-and-upload | demo_upload_and_download.py | demo_upload_and_download.py | py | 2,558 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cloudinary.uploader.uploader.destroy",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cloudinary.uploader.uploader",
"line_number": 31,
"usage_type": "attribute"
},
{
... |
32869975011 | from fastapi import APIRouter
from api.schemes import relations, responses
from database import redis
def add_relation(rel: relations.Relation, rel_name: str) -> responses.RelationOperations:
if redis.add_relation(rel_name, rel.user_id, rel.item_id):
return responses.RelationOperations(status="successful... | Muti-Kara/sylvest_recommender | api/routers/relations.py | relations.py | py | 1,755 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "api.schemes.relations.Relation",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "api.schemes.relations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "database.redis.add_relation",
"line_number": 8,
"usage_type": "call"
},
{
... |
15306370520 | """ File: eulerCharacteristics.py
Description: calculates the characteristics of the 2D Euler equation.
This includes the flux and the eigenvectors associated with it
Author: Pierre-Yves Taunay
Date: November 2018
"""
import numpy as np
from utils import P_from_Ev
GAM = 1.4
def compute_euler_flux(U,direction):
... | pytaunay/weno-tests | python/euler_2d/eulerCharacteristics.py | eulerCharacteristics.py | py | 4,634 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "utils.P_from_Ev",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
12646866981 | from django import forms
from .models import Reservation, Testimonial
class ReservationForm(forms.ModelForm):
name = forms.CharField(label='Your Name', widget=forms.TextInput(
attrs={
'class': 'form-control',
'id': 'name',
'placeholder': 'Your Name'
}
... | Dantes696/restaraunt | res/forms.py | forms.py | py | 4,061 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.f... |
7873679939 | import numpy as np
from multiprocessing import Pool
h, w = 1080, 1920
def draw_pixel():
pixel = np.zeros(24, dtype=np.uint8)
for i in range(24):
pixel[i] = np.random.randint(0, 2)
return pixel
def draw_row(p):
row = np.zeros((24, w), dtype=np.uint8)
row[:, 0] = draw_pixel()
for j in r... | e841018/ERLE | rand_img.py | rand_img.py | py | 888 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"li... |
40124065659 | from pymongo.mongo_client import MongoClient
from pymongo.server_api import ServerApi
import certifi
from pprint import pprint
class database:
def __init__(self):
uri = "mongodb+srv://user:user@harvest-hero.zdaj74u.mongodb.net/?retryWrites=true&w=majority"
# Create a new client and connec... | SteveHuy/Harvest-Hero | Database+APIs/database.py | database.py | py | 721 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.mongo_client.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "certifi.where",
"line_number": 11,
"usage_type": "call"
}
] |
25097354504 | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 21 13:56:29 2022
@author: maria
"""
import numpy as np
import pandas as pd
from numpy import zeros, newaxis
import matplotlib.pyplot as plt
import scipy as sp
from scipy.signal import butter,filtfilt,medfilt
import csv
import re
import functions2022_07_15 as fun
#gettin... | mariacozan/Analysis_and_Processing | code_archive/2022-07-21-neuronal_classification.py | 2022-07-21-neuronal_classification.py | py | 5,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 48,
... |
74182080829 | #!/usr/bin/env python
from __future__ import print_function
import boto3
from botocore.exceptions import ClientError
import json
import argparse
import time
import random
import uuid
ALL_POLICY = '''{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "Stmt''' + str(random.randint(100000, 999999)) +'''",
... | dagrz/aws_pwn | elevation/add_iam_policy.py | add_iam_policy.py | py | 2,724 | python | en | code | 1,106 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "boto3.cli... |
27673024131 | import torch
from torch import nn
def init_weights_(m: nn.Module,
val: float = 3e-3):
if isinstance(m, nn.Linear):
m.weight.data.uniform_(-val, val)
m.bias.data.uniform_(-val, val)
class Actor(nn.Module):
def __init__(self,
state_dim: int,
... | zzmtsvv/rl_task | spot/modules.py | modules.py | py | 2,231 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_... |
9651796880 | import utils
from utils import *
# Arguments available
def parse_args():
parser = argparse.ArgumentParser(description='Task1')
parser.add_argument('--image_path', type=str, default=None,
help='Path to an image on which to apply Task1 (absolute or relative path)')
parser.add_argument('--save_pat... | SebastianCojocariu/Curling-OpenCV | task_1.py | task_1.py | py | 3,759 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "utils.show_images",
"line_number": 32,
"usage_type": "call"
}
] |
29788980815 | from collections import Counter
import numpy as np
import pandas as pd
import pickle
from sklearn import svm, model_selection, neighbors
from sklearn.ensemble import VotingClassifier, RandomForestClassifier
from sklearn.model_selection import cross_validate, train_test_split
# processing data for Machine Learning
# ... | mihir13/python_for_finance | PythonForFinance9.py | PythonForFinance9.py | py | 3,409 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"l... |
2542812722 | import os
import json
import logging
from infy_bordered_table_extractor import bordered_table_extractor
from infy_bordered_table_extractor.bordered_table_extractor import OutputFileFormat
from infy_bordered_table_extractor.providers.tesseract_data_service_provider import TesseractDataServiceProvider
from infy_bordered_... | Infosys/Document-Extraction-Libraries | infy_bordered_table_extractor/tests/test_border_table_img.py | test_border_table_img.py | py | 3,357 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"li... |
23088053555 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Code by: Magnus Øye, Dated: 12.11-2018
Contact: magnus.oye@gmail.com
Website: https://github.com/magnusoy/Balancing-Platform
"""
# Importing packages
import numpy as np
from numpy import sqrt, sin, cos, pi, arccos
import matplotlib.pylab as plt
# Plot style
plt.style... | magnusoy/Balancing-Platform | src/balancing_platform/util/graphs.py | graphs.py | py | 2,702 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "matplotlib.pylab.style.use",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab.style",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pylab",
"line_number": 16,
"usage_type": "name"
},
{
"api_name"... |
30272112886 | from .views import *
from django.urls import path
urlpatterns = [
path('', home, name='home'),
path('login/', login_user, name='login'),
path('contact/', contact, name='contact'),
path('api/<str:userid>/', api, name='api'),
path('logout/', logout_user, name='logout'),
path('register/', register... | supratim531/hetc-web | scholarship/urls.py | urls.py | py | 693 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
20921293526 | import numpy as np
import matplotlib.pyplot as plt
def plot_results(results, range_param, label='', color='r', marker='o'):
mean_results = np.mean(results, axis=1)
min_results = np.mean(results, axis=1) - np.std(results, axis=1)
max_results = np.mean(results, axis=1) + np.std(results, axis=1)
plt.plot... | sharpenb/Multi-Scale-Modularity-Graph-Clustering | Scripts/experiments/results_manager.py | results_manager.py | py | 1,613 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.mean",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 8,
"... |
71588771707 | import pytest
from pytest import approx
from brownie import chain
from brownie.test import given, strategy
from decimal import Decimal
from .utils import RiskParameter, transform_snapshot
@pytest.fixture(autouse=True)
def isolation(fn_isolation):
pass
@given(
initial_fraction=strategy('decimal', min_value=... | overlay-market/v1-periphery | tests/state/test_volume.py | test_volume.py | py | 5,680 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.RiskParameter.CAP_NOTIONAL",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "utils.RiskParameter",
"line_number": 24,
"usage_type": "name"
},
{
"api_name... |
1306545281 | import os, datetime
def call_msra():
terr = input('код территории: ')
if terr == "":
print()
call_msra()
comp = input('номер АРМа: ')
if comp == "":
print()
call_msra()
else:
os.system(r'C:\Windows\System32\msra.exe /offerra kmr-' + terr + '-' +... | Aarghe/some_scripts | msra/msra.py | msra.py | py | 2,782 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 27,
"usage_type": "attribute"
}
] |
5405379024 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import random # imports relevant libraries
import operator
import matplotlib.pyplot
import agentframework
import csv
import matplotlib.animation
num_of_agents = 10
num_of_iterations = 100
neighbourhood = 20
f = open('datain.txt') # open... | cman2000/Portfolioabm | model.py | model.py | py | 1,832 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONNUMERIC",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.pyplot.imshow",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
14698252975 | from flask import Flask, request, jsonify
from SSAPI import app, api, db, guard
from flask_restplus import Resource, reqparse, inputs
import flask_praetorian
from SSAPI.models import *
@api.route('/Scrimmages')
class ScrimmageList(Resource):
@flask_praetorian.auth_required
def get(self):
""" Returns a... | ktelep/SSAPI | SSAPI/scrimmage_views.py | scrimmage_views.py | py | 7,157 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_restplus.Resource",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask_praetorian.current_user",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_praetorian.current_user",
"line_number": 14,
"usage_type": "call"
},
{
... |
42132347145 | import math
import numpy as np
from scipy.stats import bernoulli
simlen = 1000000
pmf = np.full(10,0.1)
def cdf(k):
if(k>10):
return 1
elif(k<=0):
return 0
else:
return k*0.1
print("Value equal to 7:")
p1 = pmf[7]
data_bern1 = bernoulli.rvs(size=simlen,p=p1)
err_ind1 = np.nonzero... | gadepall/digital-communication | exemplar/10/13/3/30/codes/code.py | code.py | py | 984 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "numpy.full",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.stats.bernoulli.rvs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scipy.stats.bernoulli",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.nonze... |
38740337725 | import pytest
import numpy as np
from uncoverml import patch
@pytest.mark.parametrize('make_multi_patch',
['make_patch_31', 'make_patch_11'],
indirect=True)
def test_grid_patch(make_multi_patch):
timg, pwidth, tpatch, tx, ty = make_multi_patch
patches = pa... | GeoscienceAustralia/uncover-ml | tests/test_patch.py | test_patch.py | py | 593 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "uncoverml.patch.grid_patches",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "uncoverml.patch",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.allclose",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.ma... |
43984207586 | # gdpyt-analysis: test.test_fit_3dsphere
"""
Notes
"""
# imports
from os.path import join
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from correction import correct
from utils import fit, plotting, functions
# read dataframe
fp = '/Users... | sean-mackenzie/gdpyt-analysis | test/test_fit_3dsphere.py | test_fit_3dsphere.py | py | 6,764 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
15306305960 | """ WENO Lax-Friedrichs
Author: Pierre-Yves Taunay
Date: November 2018
"""
import numpy as np
import matplotlib.pyplot as plt
###############
#### SETUP ####
###############
# Grid
npt = 200
L = 2
dz = L/npt
zvec = np.linspace(-L/2 + dz/2,L/2-dz/2,npt)
EPS = 1e-16
# Time
dt = dz / 1 * 0.4
tmax = 2000
tc = 0
# Sche... | pytaunay/weno-tests | python/advection_1d/weno-advection.py | weno-advection.py | py | 5,051 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 3... |
75163149306 | # -*- coding: utf-8 -*-
"""
Flask Skeleton
"""
from flask import Blueprint, request, redirect, url_for, render_template, flash, session
from pymongo import errors as mongo_errors
from bson.objectid import ObjectId
from flask_login import login_required
import datetime
from app import mongo, login_manager
from app.usu... | e-ruiz/big-data | 01-NoSQL/atividade-04/src/app/blog/posts.py | posts.py | py | 2,268 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "app.usuario.model.Usuario.get_by_id",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "app.usuario.model.Usuario",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "app.login_manager.user_loader",
"line_number": 16,
"usage_type": "attribute... |
2026773879 | import json
import os
import pathlib
import time
from selenium import webdriver
from selenium.webdriver import ActionChains
driver = webdriver.Chrome()
targetUrl = 'https://www.douban.com/'
username = ""
psw = ""
def login_zhi_hu():
loginurl = targetUrl # 登录页面
# 加载webdriver驱动，用于获取登录页面标签属性
# driver = we... | Nienter/mypy | personal/douban.py | douban.py | py | 3,789 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
19400090459 | from typing import List
class Solution:
def minFallingPathSum(self, A: List[List[int]]) -> int:
h = len(A)
w = len(A[0])
for i in range(1,h):
for j in range(w):
if j == 0:
A[i][j] = min(A[i-1][j] + A[i][j],A[i-1][j+1] + A[i][j])
... | Yigang0622/LeetCode | minFallingPathSum.py | minFallingPathSum.py | py | 653 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
2502699508 | # To manage matrices correctly
# At deployment, check if new matrices have been added to old batch sizes
import grid
import orjson
import sys
# VERSION_FILE
VERSION_FILE = "versioning.json"
def readable_string(batch, num_infected, infection_rate):
m,n = grid.parse_batch(batch)
return f'{n} Samples (with {m} ... | Aakriti28/tapestry-server | old-server/matrix_manager.py | matrix_manager.py | py | 4,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "grid.parse_batch",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "orjson.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "grid.generate_grid_and_cell_data",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "orjson... |
8063903284 | import logging
import subprocess
from subprocess import Popen, PIPE
def run(command: str) -> None:
"""
:param command: shell statement
:return:
"""
logging.debug(command)
subprocess.call(command, shell=True, universal_newlines=True)
def call(command: str) -> str:
"""
:param command:... | leaderli/li_py | li/li_bash.py | li_bash.py | py | 1,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.debug",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"l... |
24769179889 | squaredWeight = None
def performCollection(cityLevel, filename):
import os
if cityLevel:
outputDir = 'GoogleTrendsCity/'
if not os.path.exists(outputDir):
os.mkdir(outputDir)
else:
outputDir = 'GoogleTrendsCountry/'
if not os.path.exists(outputDir):
... | apanasyu/GoogleTrends | Main.py | Main.py | py | 20,395 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number":... |
37164877474 | import torch
import numpy
import pandas
import sys
import os
import copy
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
#Global option defaults that can be changed later by command line
gcm_folder_path : str = "gcms"
target_folder_path : str = "targets"
class_index = "... | tigerwxu/gcm-cnn | gcm-cnn.py | gcm-cnn.py | py | 10,296 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.set_printoptions",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
36066284113 | #%%
from PIL import Image
import numpy as np
import onnxruntime
import torch
import cv2
def preprocess_image(image_path, height, width, channels=3):
image = Image.open(image_path)
image = image.resize((width, height), Image.LANCZOS)
image_data = np.asarray(image).astype(np.float32)
image_data = image_d... | cassiebreviu/onnxruntime-raspberrypi | inference_mobilenet.py | inference_mobilenet.py | py | 2,000 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PIL.Image.LANCZOS",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_n... |
30117142033 | import numpy as np
from PIL import Image
class predict_day_night_algos:
def __init__(self,img_path,algorithm_choice):
self.img_path = img_path
self.algorithm_choice = algorithm_choice
def select_algorithm(self):
"""
the function selects which algorithm,
based on the ... | shivargha98/shivargha_bandopadhyay | predict_day_night.py | predict_day_night.py | py | 2,888 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 5... |
30669751378 | import os
import cv2
dir = "/Users/sunxiaofei/PycharmProjects/remote-server-projects/unlabeled_dataset/data"
for i, eachVid in enumerate(os.listdir(dir)):
vPath = os.path.join(dir, eachVid)
vname = vPath.split("/")[-1][:-4]
print(vname)
print(vPath)
vidcap = cv2.VideoCapture(vPath)
success,image = vidcap.... | sxfduter/python_utils | video_frame_extraction.py | video_frame_extraction.py | py | 709 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number... |
4828707472 | from fastapi.security import OAuth2PasswordBearer
from sqlalchemy.orm import Session
from models import Quote, Title, Year
from schemas import QuoteBase, QuoteCreate, TitleBase, TitleCreate, YearBase, YearCreate
import random
import auth
import models
import schemas
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token... | rubenpinxten/herexamen_API | myProject/crud.py | crud.py | py | 3,543 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.security.OAuth2PasswordBearer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "schemas.QuoteCreate",
"line_number": 12,
"usage_type": "name"
},
{
"... |
42319245603 | from setuptools import setup, find_packages
import codecs
import os
import re
here = os.path.abspath(os.path.dirname(__file__))
import prefetch_generator
# loading README
long_description = prefetch_generator.__doc__
version_string = '1.0.2'
setup(
name="prefetch_generator",
version=version_string,
desc... | justheuristic/prefetch_generator | setup.py | setup.py | py | 1,969 | python | en | code | 260 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "prefetch_generator.__doc__"... |
29457712632 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
'''translate.translate: provides main() entry point.'''
__version__ = '0.1.3'
import logging
import argparse
import requests
from bs4 import BeautifulSoup
from terminaltables import AsciiTable
logging.basicConfig(
filename = '.log',
filemode = 'a+',
... | alvarolopez/translate-term | translate/translate.py | translate.py | py | 5,821 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging... |
15512669243 | import pygame #Impordime pygame'i
#Defineerime funktsiooni, mis joonistab ruudustiku
def draw_grid(screen, ruudu_suurus, read, veerud, joone_värv):
for i in range(read): #Esimene tsükel, mis käib läbi kõik read
for j in range(veerud): #Teine tsükel, mis käib läbi kõik veerud
rect = pygame.Rect(... | KermoV/Ulesanne_3 | Ülesanne_3.py | Ülesanne_3.py | py | 1,403 | python | et | code | 0 | github-code | 6 | [
{
"api_name": "pygame.Rect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_nu... |
14374871985 | # coding=utf-8
"""Unit tests for activitypub.py."""
from base64 import b64encode
import copy
from datetime import datetime, timedelta
from hashlib import sha256
import logging
from unittest import skip
from unittest.mock import patch
from flask import g
from google.cloud import ndb
from granary import as2, microformat... | snarfed/bridgy-fed | tests/test_activitypub.py | test_activitypub.py | py | 76,984 | python | en | code | 219 | github-code | 6 | [
{
"api_name": "granary.as2.PUBLIC_AUDIENCE",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "granary.as2",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "granary.as... |
27679859460 | # Things to show
# Name, Orbital Radius, Gravity, Mass, Distance, Planet Type, Goldilock, Discovery Date, Mass of hoststar
from flask import Flask, jsonify, make_response
from pandas import read_csv
app = Flask(__name__)
data = read_csv("csv/display.csv")
@app.get("/")
def index():
to_send = []
i = 1
while Tru... | CometConnect/python | api.py | api.py | py | 1,549 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_num... |
71186923 | import boto3
import uuid
import json
from jwcrypto import jwt, jwk
DDB_CLIENT = boto3.client('dynamodb')
ddb_table = "iowt-devices"
def create_new_device():
id = str(uuid.uuid4())
key = jwk.JWK(generate="oct", size=256)
key_data = json.loads(key.export())['k']
token = jwt.JWT(header={"alg": "A256KW... | wilsonc101/iowt | www/create_device.py | create_device.py | py | 886 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jwcrypto.jwk.JWK",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "jwcrypto.jwk",
"line_numb... |
42896164462 | import jax
import numpy as np
import pytest
import hilbert_sort.jax as jax_backend
import hilbert_sort.numba as np_backend
@pytest.fixture(scope="module", autouse=True)
def config_pytest():
jax.config.update("jax_enable_x64", True)
@pytest.mark.parametrize("dim_x", [2, 3, 4])
@pytest.mark.parametrize("N", [150... | AdrienCorenflos/parallel-Hilbert | tests/test_agree.py | test_agree.py | py | 1,622 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "jax.config.update",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jax.config",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
... |
29099504157 | import xml.etree.ElementTree as ET
from datetime import date
from pathlib import Path
def _convert_dict(temp_dict):
"""
Convert one dict to a new one
:param temp_dict: A temporary dict
:type temp_dict: dict
:return: The same dict in a new formate that fits with the database
:rtype: dict
"... | ZexiDilling/structure_search | xml_handler.py | xml_handler.py | py | 7,386 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": ... |
39001711691 | import csv
import MySQLdb
mydb= MySQLdb.connect(host='localhost',
user='root',
db='celebal')
cursor=mydb.cursor()
with open('dataset1.csv', 'r') as csvfile:
csv_data1 = csv.reader(csvfile, delimiter=',')
next(csv_data1)
cursor.execute("TRUNCATE TABLE data1")
for row in csv_data1:
cursor.execute("INSERT ... | shauryaa/CelebalAssignment1 | try.py | try.py | py | 910 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "MySQLdb.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
}
] |
36637137136 | import tkinter as tk
from tkinter import ttk
from tkinter import *
import numpy as np
from PIL import ImageTk, Image
from os import listdir
from os.path import isfile, join
from PIL.Image import Resampling
from hopfield_clouds import HopfieldClouds
# root.columnconfigure(0, weight=1)
# root.columnconfigure(1, weigh... | behenate/hopfield-reconstruction | gui.py | gui.py | py | 5,007 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "hopfield_clouds.HopfieldClouds",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Button",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tkinter.... |
15598819292 | import sys
sys.path.append('..')
import torch
from torch import nn
from torch.nn import functional as F
from ssd import config as cfg
from basenet.vgg import vgg_feat
from basenet.resnet import resnet101_feat
from ssd.utils_ssd.priorbox import PriorBox
from ssd.utils_ssd.L2Norm import L2Norm
from ssd.utils_ssd.detect... | AceCoooool/detection-pytorch | ssd/ssd300.py | ssd300.py | py | 4,567 | python | en | code | 24 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.MaxPool2d",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
1360530890 | import Utils.Data as data
from Utils.Data.DatasetUtils import is_test_or_val_set, get_train_set_id_from_test_or_val_set, \
get_test_or_val_set_id_from_train
from Utils.Data.Features.Feature import Feature
from Utils.Data.Features.Generated.EnsemblingFeature.MatrixEnsembling import ItemCBFMatrixEnsembling
from Utils... | MaurizioFD/recsys-challenge-2020-twitter | Utils/Data/Features/Generated/EnsemblingFeature/SimilarityFoldEnsembling.py | SimilarityFoldEnsembling.py | py | 7,398 | python | en | code | 39 | github-code | 6 | [
{
"api_name": "Utils.Data.Features.Generated.GeneratedFeature.GeneratedFeaturePickle",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Utils.Data.Features.Feature.Feature.ROOT_PATH",
"line_numb... |
75136926587 | import pytest
import tgalice
from dialog_manager import QuizDialogManager
@pytest.fixture
def default_dialog_manager():
return QuizDialogManager.from_yaml('texts/quiz.yaml')
def make_context(text='', prev_response=None, new_session=False):
if prev_response is not None:
user_object = prev_response.u... | avidale/musiquiz | test_scenarios.py | test_scenarios.py | py | 1,432 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dialog_manager.QuizDialogManager.from_yaml",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dialog_manager.QuizDialogManager",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "attribute"
... |
160637604 | import numpy as np
import pandas as pd
#Setting the recent season match
yrBefore = np.arange(1900,2023)
yrAfter = np.arange(1901,2024)
yrBefore_list = []
yrAfter_list = []
for s in yrBefore:
a = str(s)
yrBefore_list.append(a)
for j in yrAfter:
b = str(j)
yrAfter_list.append(b)
seaso... | Taofeek26/Taofeek26 | btttt.py | btttt.py | py | 2,577 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"li... |
19809314779 | import os
from PIL import Image
from typing import Dict, List
from preprocessing.image_metadata import ImageMetadata
class ImagesReader:
def __init__(self, base_path: str) -> None:
self.__basePath = base_path
def read_train_images(self) -> Dict[str, List[ImageMetadata]]:
images = {}
d... | sachokFoX/caltech_256 | code/preprocessing/images_reader.py | images_reader.py | py | 1,666 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 2... |
22002934531 | """
Interfaces for Deep Q-Network.
"""
import random
import numpy as np
import tensorflow as tf
from collections import deque
from scipy.misc import imresize
from qnet import QNet
class DeepQLearner(object):
"""
Provides wrapper around TensorFlow for Deep Q-Network.
"""
def __init__(self,
ac... | TianyiWu96/DQN | src/qlearn.py | qlearn.py | py | 11,988 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "qnet.QNet",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_nu... |
71579186747 | """ Optimizes GPST model hyperparameters via Optuna. """
import os
import time
import json
import shutil
import logging
import argparse
import tempfile
import datetime
import optuna
from train import train
from lumber import get_log
from arguments import get_args
def main() -> None:
""" Run an Optuna study. ""... | langfield/spred | spred/gpst/optimize.py | optimize.py | py | 4,018 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "lumber.get_log",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.g... |
72255300348 | from __future__ import annotations
import json
import re
from typing import TYPE_CHECKING
import asyncpg
import discord
import pandas as pd
from tweepy.asynchronous import AsyncClient
from ..helpers import add_prefix
if TYPE_CHECKING:
from bot import Bot
async def setup_cache(bot: Bot):
prefixes = await b... | LeoCx1000/fish | src/utils/core/startup.py | startup.py | py | 4,587 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "bot.Bot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "bot.pool.fetch",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bot.pool",
"line_numb... |
31957026711 | from __future__ import annotations
import asyncio
from typing import TYPE_CHECKING, Any, Union, Optional, TypedDict, final
from datetime import datetime
import attr
import ujson
from tomodachi.utils import helpers
from tomodachi.core.enums import ActionType
if TYPE_CHECKING:
from tomodachi.core.bot import Tomod... | httpolar/tomodachi | tomodachi/core/actions.py | actions.py | py | 4,732 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.TypedDict",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.TypedDict",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Any",
... |
14200847696 | import discord
import asyncio
from discord.ext import commands
class Channels(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.role_bot_id = int(self.bot.config['Zone']['role_bot_id'])
self.channel_private_id = int(self.bot.config['Zone']['channel_private_id'])
self.cate... | yutarou12/bot-zone | cogs/channels.py | channels.py | py | 3,982 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "discor... |
18091289859 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('account', '0045_auto_20150130_0558'),
]
operations = [
migrations.AlterField(
model_name='basicmemberinformation... | hongdangodori/slehome | slehome/account/migrations/0046_auto_20150130_0600.py | 0046_auto_20150130_0600.py | py | 531 | python | en | code | 0 | github-code | 6 | [
{
"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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
17435023939 | # coding: utf-8
"""
Simple multithread task manager
__author_ = 'naubull2 (naubull2@gmail.com)'
"""
import logging
import random
import json
import time
import atexit
from queue import Queue
from threading import Thread
logger = logging.getLogger("dialog-tool")
class Worker(Thread):
"""
Thread executing task... | naubull2/codingtests | frequent_subjects/task_manager.py | task_manager.py | py | 3,836 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "threadin... |
73643617788 | from __future__ import absolute_import
import math
from collections import OrderedDict
import torch
import torchvision
from torch import nn
from torch.nn import functional as F
import torch.utils.model_zoo as model_zoo
from .res2net import res2net50_26w_4s
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 're... | DeepAlchemist/video-person-reID | lib/model/resnet.py | resnet.py | py | 11,011 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_nu... |
71877607227 | #pyautogui 라이브러리 추가
#pip install pyautogui
import pyautogui #듀얼모니터는 인식 안됨
#마우스 현재 좌표 출력
#pyautogui.position()
#해당 좌표로 마우스 이동
#pyautogui.moveTo(40, 154)
#이미지 추출 라이브러리 추가
#pip install opencv-python
#해당하는 이미지와 유사한 화면이 존재하는 위치로 이동(출력결과 : x축 값, y축 값 , 가로 길이, 세로 길이)
#pyautogui.locateOnScreen('')
#좌표, 저장될 이미지 길이(x축 값, y축... | BrokenMental/Python-Study | pyautogui.py | pyautogui.py | py | 1,032 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "pyautogui.screenshot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyautogui.locateCenterOnScreen",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pyautogui.locateCenterOnScreen",
"line_number": 22,
"usage_type": "call"
},
{
... |
73743939389 | import os
from os import walk, getcwd
from PIL import Image
""" Class label (BDD) """
# same order with yolo format class annotation
classes = [ "bike" , "bus" , "car", "motor", "person", "rider", "traffic light", "traffic sign", "train", "truck"]
""" Inverse convert function """
def i_convert(size, box):
... | jwchoi384/Gaussian_YOLOv3 | bdd_evaluation/convert_txt_to_bdd_eval_json.py | convert_txt_to_bdd_eval_json.py | py | 2,038 | python | en | code | 660 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 45,
... |
36818284421 | import pytest
from database import Model, ModelAttribute
pytestmark = pytest.mark.asyncio
class A(Model):
a = ModelAttribute()
b = ModelAttribute()
c = ModelAttribute()
@pytest.mark.parametrize('count', (10, 15))
async def test_insert_find(db, count):
c_true_count = 0
for i in range(count):
... | AzaubaevViktor/vk_grabber | src/database/tests/test_no_uid.py | test_no_uid.py | py | 1,000 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "database.Model",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "database.ModelAttribute",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "database.ModelA... |
39713348458 | from os.path import join, dirname, realpath, exists
from PIL import Image, ImageDraw, ImageFont
import numpy
import base64
from io import BytesIO
# info: image (PNG, JPG) to base64 conversion (string), learn about base64 on wikipedia https://en.wikipedia.org/wiki/Base64
def image_base64(img, img_type):
with Bytes... | katiehickman/m224_seals | image.py | image.py | py | 6,588 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "io.BytesIO",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
6387062201 | from jupyterthemes import install_theme, get_themes
from jupyterthemes import stylefx
def install_themes():
themes = get_themes()
for t in themes:
try:
install_theme(theme=t, monofont=mf, nbfont=nf, tcfont=tc)
except Exception:
return False
return True
def install_f... | dunovank/jupyter-themes | tests/test_themes.py | test_themes.py | py | 939 | python | en | code | 9,665 | github-code | 6 | [
{
"api_name": "jupyterthemes.get_themes",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "jupyterthemes.install_theme",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "jupyterthemes.stylefx.stored_font_dicts",
"line_number": 14,
"usage_type": "call"
},... |
31678929018 | # import and necessary libraries
import dask.distributed
import dask.utils
import numpy as np
import planetary_computer as pc
import xarray as xr
from IPython.display import display
from pystac_client import Client
import matplotlib.pyplot as plt
import folium
from odc.stac import configure_rio, stac_load
# Function ... | Christobaltobbin/OpenDataCube | Scripts/odc_utils.py | odc_utils.py | py | 3,287 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dask.distributed.distributed.Client",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "dask.distributed.distributed",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "dask.distributed",
"line_number": 30,
"usage_type": "name"
},
{... |
35257204680 | import minerl
from minerl.data import BufferedBatchIter
import numpy as np
import random
from itertools import combinations
from actions import action_names
import cv2
import numpy as np
import torch
'''
The mineRL framework models actions as dictionaries of individual actions. Player recorded demonstrat... | anishhdiwan/DQfD_Minecraft | demo_sampling.py | demo_sampling.py | py | 8,704 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "actions.pop",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "actions.pop",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 4... |
156567587 | #-*- coding: utf-8 -*-
import numpy as np
from sklearn.cluster import AgglomerativeClustering as sk_AgglomerativeClustering
from sklearn.externals.joblib import Memory
from .clustering import Clustering
class AgglomerativeClustering(Clustering):
"""docstring for AgglomerativeClustering."""
def __init__(self, d... | netoaraujjo/hal | clustering/agglomerative_clustering.py | agglomerative_clustering.py | py | 1,946 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "clustering.Clustering",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.externals.joblib.Memory",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "... |
32638070044 | def voto(ano):
from datetime import datetime
atual = datetime.now().year
idade = atual - ano
if 16 <= idade <= 17 or idade > 60:
return idade, 'VOTO OPCIONAL!'
elif 18 <= idade < 60:
return idade, 'VOTO OBRIGATÓRIO!'
else:
return idade, 'NÃO VOTA!'
nas = int(input('Em q... | LeoWshington/Exercicios_CursoEmVideo_Python | ex101.py | ex101.py | py | 396 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "name"
}
] |
7769213718 | import numpy as np
import torch
import random
from PIL import Image
#---------------------------------------------------------#
# 将图像转换成RGB图像，防止灰度图在预测时报错。
# 代码仅仅支持RGB图像的预测，所有其它类型的图像都会转化成RGB
#---------------------------------------------------------#
def cvtColor(image):
if len(np.shape(image)) == 3 and np.shap... | yangshunzhi1994/SCD | object verification/utils/utils.py | utils.py | py | 3,489 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.shape",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image.BICUBIC",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"lin... |
31528905029 | #!/usr/bin/env python
# -*- coding: iso-8859-1 -*-
# $Id: setup.py 30 2005-10-30 07:24:38Z oli $
import os, sys
from setuptools import setup, find_packages
sys.path.insert(0, 'package/lib')
from scapy import VERSION
PACKAGE_NAME = 'scapy'
DESCRIPTION="""Packet manipulation tool, packet generator, network scanner, ... | BackupTheBerlios/gruik-svn | trunk/projects/packaging_scapy/setup.py | setup.py | py | 3,232 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
32661723209 | from decimal import Decimal
from fractions import Fraction
from typing import Generator
from numeric_methods.language import TRANSLATE
from numeric_methods.language.docs.one_variable import SECANT_METHOD_DOCS
from numeric_methods.mathematics import compare, convert, widest_type
NUMBER = Decimal | float | Fraction
... | helltraitor/numeric-methods | numeric_methods/one_variable/secant_method.py | secant_method.py | py | 1,013 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "decimal.Decimal",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "fractions.Fraction",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numeric_methods.mathematics.widest_type",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
40687305933 | import argparse
import json
from typing import List
from google.protobuf import json_format
from load_tests.common import (
benchmark_grpc_request,
make_full_request_type,
make_output_file_path,
)
from magma.common.service_registry import ServiceRegistry
from orc8r.protos.common_pb2 import Void
from orc8r.... | magma/magma | lte/gateway/python/load_tests/loadtest_directoryd.py | loadtest_directoryd.py | py | 7,544 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "orc8r.protos.directoryd_pb2_grpc.GatewayDirectoryServiceStub",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "magma.common.service_registry.ServiceRegistry.get_rpc_channel",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "magma.common.service_r... |
24274585662 | # -----------------------------------------------------------
# Creates the views for the database.
# This views are called when user navigates to a certain url.
# They are responsible for either rendering an HTML template or the API data that are requested
# For example: Navigating to the url 'api/operations/' will tr... | KIOS-Research/AIDERS | aidersplatform/django_api/aiders/views.py | views.py | py | 110,716 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "threading.Event",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "rest_framewor... |
11165153113 | from uuid import uuid4
from demo.data_loading.data_fetching import get_countries_data
from demo.data_loading.fixes import fix_alpha2_value, fix_alpha3_value, fix_string_value
from demo.server.config import get_pyorient_client
def load_countries_and_regions(countries_df):
graph = get_pyorient_client()
countr... | obi1kenobi/graphql-compiler-cross-db-example | demo/data_loading/orientdb_loading.py | orientdb_loading.py | py | 4,019 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "demo.server.config.get_pyorient_client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "demo.data_loading.fixes.fix_string_value",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 20,
"usage_type": "call"
},
... |
27264187100 | """
GenT2_Rulebase.py
Created 9/1/2022
"""
from juzzyPython.generalType2zSlices.system.GenT2Engine_Intersection import GenT2Engine_Intersection
from juzzyPython.generalType2zSlices.system.GenT2Engine_Union import GenT2Engine_Union
from juzzyPython.generalType2zSlices.system.GenT2_Rule import GenT2_Rule
from juzzyPython... | LUCIDresearch/JuzzyPython | juzzyPython/generalType2zSlices/system/GenT2_Rulebase.py | GenT2_Rulebase.py | py | 7,915 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "juzzyPython.generalType2zSlices.system.GenT2Engine_Union.GenT2Engine_Union",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "juzzyPython.generalType2zSlices.system.GenT2Engine_Intersection.GenT2Engine_Intersection",
"line_number": 55,
"usage_type": "call"
},
... |
40319534507 | from ansible.module_utils.basic import AnsibleModule
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.api import \
Session
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.cls import GeneralModule
class General(GeneralModule):
CMDS = {
'set': 'set',
... | ansibleguy/collection_opnsense | plugins/module_utils/main/webproxy_forward.py | webproxy_forward.py | py | 2,388 | python | en | code | 158 | github-code | 6 | [
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.cls.GeneralModule",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ansible.module_utils.basic.AnsibleModule",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "ansible_collections.a... |
71913785148 | import qrcode as qr
from PIL import Image
q=qr.QRCode(version=1,
error_correction=qr.constants.ERROR_CORRECT_H,
box_size=10,
border=4,)
q.add_data("https://youtu.be/NaQ_4ZvCbOE")
q.make(fit=True)
img= q.make_image(fill_color='darkblue', back_color='steelblue')
img.save("x.png") | Xander1540/Python-Projects | QRcode/QRcode.py | QRcode.py | py | 316 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "qrcode.QRCode",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "qrcode.constants",
"line_number": 4,
"usage_type": "attribute"
}
] |
73730161788 | import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from torchvision import transforms
from torchvision.datasets import MNIST
from dae.dae import DAE
from beta_vae.beta_vae import BetaVAE
from history import History
# hyperparameters
num_epochs = 100
batch_size = 128
lr = 1e-4
beta = 4
sa... | BCHoagland/DARLA | train.py | train.py | py | 1,115 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "dae.dae",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "dae.dae.DAE",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "beta_vae.beta_vae",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "beta_vae.beta_vae.BetaVAE",
... |
23012946135 | import pandas as pd
import numpy as np
import geopandas as gpd
from helper_functions import add_subset_address_cols, interpolate_polygon
from data_constants import default_crs, make_data_dict
from name_parsing import combine_names
from address_parsing import clean_parse_address
from helper_functions import make_panel
f... | jfish-fishj/boring_cities | python_modules/clean_address_data.py | clean_address_data.py | py | 15,391 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fiona.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame.from_features",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
47036004516 | import time
from sqlalchemy import Column, Integer, String, Float, Boolean, ForeignKey
import sqlalchemy.types as types
from sqlalchemy.orm import relationship
from sqlalchemy.sql.expression import func
from sqlalchemy import or_, and_, desc
from marshmallow import Schema, fields
from database import Base
class KycR... | djpnewton/zap-merchant | models.py | models.py | py | 1,387 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "marshmallow.Schema",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "marshmallow.fields.Float",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "marshmallow.fields",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "marshm... |
35406045180 | import json
import os
from elasticsearch import Elasticsearch, helpers, exceptions
client = Elasticsearch(os.getenv("ELASTICSEARCH_URL"))
f = open("dump", "r")
def main():
while True:
line = f.readline()
if len(line) == 0:
break
data = json.loads(line)
yield {
... | polianax/regex | upload.py | upload.py | py | 506 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "elasticsearch.helpers.... |
11016530679 | import os
import discord
import requests
import asyncio
from dotenv import load_dotenv
from discord.utils import get
from discord.ext import commands
compteur = 301
nbConnected = 0
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
SERVER_IP = os.getenv('SERVER_IP')
SERVER_PORT = os.getenv('SERVER_PORT')
CHANNEL_ID = i... | AudricCh/minecraft-discord-bot | bot/main.py | main.py | py | 1,395 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number":... |
10609649346 | from createProtocol import ARP, EthernetII
from parseProtocol import Parser
from optparse import OptionParser
from helper import subnet_creator, get_mac_address, get_ip_address
from rich.progress import track
from time import sleep
import socket
import netifaces
import threading
def get_user_parameters():
parse_o... | oguzhan-kurt/Network-Scanner | main.py | main.py | py | 2,295 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "optparse.OptionParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "netifaces.interfaces",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "createProtocol.EthernetII",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "... |
27055803559 | """empty message
Revision ID: 810e0afb57ea
Revises: 22771e69d10c
Create Date: 2022-01-19 19:59:08.027108
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "810e0afb57ea"
down_revision = "22771e69d10c"
branch_labels = None
depends_on = None
def upgrade():
# #... | CodeForPoznan/codeforpoznan.pl_v3 | backend/migrations/versions/810e0afb57ea_.py | 810e0afb57ea_.py | py | 1,891 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
26964335493 | from setuptools import setup
from hostinfo.version import __version__ as VERSION
from build_utils import BuildCommand
from build_utils import PublishCommand
from build_utils import BinaryDistribution
PACKAGE_NAME = 'pimjpeg'
BuildCommand.pkg = PACKAGE_NAME
# BuildCommand.py2 = False
# BuildCommand.py3 = False
Publish... | walchko/mjpeg | setup.py | setup.py | py | 1,527 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "build_utils.BuildCommand.pkg",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "build_utils.BuildCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "build_utils.PublishCommand.pkg",
"line_number": 12,
"usage_type": "attribute"
... |
36766609482 | # date: 2021/09/06
# link: https://programmers.co.kr/learn/courses/30/lessons/17680
from collections import deque
def solution(cacheSize, cities):
answer = 0
status = deque()
if cacheSize == 0:
answer = len(cities) * 5
else:
for city in cities:
city = city.upp... | jiyoung-dev/Algorithm | Kakao 기출문제/캐시.py | 캐시.py | py | 608 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
3653572970 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from skimage.color import rgb2lab
from skimage.color import lab2rgb
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Function... | injoon2019/SFU_CMPT353 | Exercise/e7/colour_bayes.py | colour_bayes.py | py | 4,009 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.vectorize",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
... |
74795986426 | import openpyxl
import tkinter as tk
def add_data_to_excel(roll_number, name):
# Open the Excel file or create a new one if it doesn't exist
try:
workbook = openpyxl.load_workbook('data.xlsx')
except FileNotFoundError:
workbook = openpyxl.Workbook()
# Select the active sheet ... | Chandravarma2004/Push-the-data-given-to-excel- | project3.py | project3.py | py | 1,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
... |
5508352220 | import random, os, shutil, yaml, gzip
import pandas as pd
import numpy as np
import prepare.configs as configs
from google.cloud import storage
import pickle
import time
storage_client = storage.Client()
bucket = storage_client.bucket(configs.bucketName)
def encodeConfigs(_confs):
return [
_confs['sim ti... | R-Stefano/betse-ml | prepare/utils.py | utils.py | py | 7,976 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "google.cloud.storage.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "google.cloud.storage",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "prepare.configs.bucketName",
"line_number": 10,
"usage_type": "attribute"
},
{
"ap... |
35395847394 | from django.core.paginator import InvalidPage
class AlphabetGlossary(object):
"""Алфавитный глоссарий"""
def __init__(self, object_list, on=None, num_groups=7):
self.object_list = object_list # список объектов
self.count = len(object_list) # количество объектов в списке
self.max_fro... | zarmoose/eastwood_test | employees/glossary.py | glossary.py | py | 5,105 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "django.core.paginator.InvalidPage",
"line_number": 66,
"usage_type": "name"
}
] |
3578166823 | import os
import torch
import csv
import pandas as pd
from config import FoldersConfig
def txt_to_csv(input_path, output_path):
with open(input_path, 'r') as in_file:
stripped = (line.strip() for line in in_file)
lines = (line.split() for line in stripped if line)
with open(output_path, '... | ferran-candela/upc-aidl-2021-image-retrieval | imageretrieval/src/prepare_datasets.py | prepare_datasets.py | py | 2,898 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "csv.writer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number":... |
9324609377 | from flask import Blueprint, render_template
redspine = Blueprint('redspine',
__name__,
template_folder='./',
static_folder='./',
static_url_path='/')
redspine.display_name = "Redspine"
redspine.published = False
redspine.description =... | connerxyz/exhibits | cxyz/exhibits/redspine/redspine.py | redspine.py | py | 491 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
}
] |
35175789251 | from django.shortcuts import render
from .models import Book, Shope
def home(request):
# qs = Post.objects.all()
# # The DB query has not been executed at this point
# x = qs
# # Just assigning variables doesn't do anything
# for x in qs:
# print(x)
# # The query is executed at this po... | Azhar-inexture-1/django_practice_models | query_optimization/views.py | views.py | py | 2,036 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Book.objects.order_by",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Book.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Book",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "dja... |
26683410836 | #!/usr/bin/python3
'''Defines a Base class
'''
import json
from os import path
class Base:
'''Represents a base class
Attributes:
__nb_objects: holds the number of Base instances created
'''
__nb_objects = 0
def __init__(self, id=None):
'''Instantiates a Base object
Args... | nzubeifechukwu/alx-higher_level_programming | 0x0C-python-almost_a_circle/models/base.py | base.py | py | 2,989 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 86,... |
72331238589 | import gc
import numpy as np
import xarray as xr
import scipy.ndimage.filters as conv
from . import dc_utilities as utilities
from datetime import datetime
####################################################
# ｜ ＴＳＭ ｜
####################################################
# 0.0001 for the scale of ls7 data.
def _tsmi(... | ceos-seo/Data_Cube_v2 | ui/django_site_v2/data_cube_ui/utils/dc_tsm.py | dc_tsm.py | py | 1,835 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "numpy.invert",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "xarray.Dataset",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.filters.convolv... |
9270626576 | from dataclasses import dataclass
@dataclass
class block:
name: str
seperatorStart: str
seperatorEnd: str
def getBlock(blocks: list, input: list):
strings = list()
index = 0
offsetindex = 0
foundBlock = False
dontAppend = False
for string in input:
dontAppend = False
... | superboo07/TextAdventure | TAUtilities.py | TAUtilities.py | py | 2,998 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 3,
"usage_type": "name"
}
] |
7713977328 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from flask import Flask, render_template
import platform
import netifaces
myApp = Flask(__name__)
@myApp.route('/')
def home():
data = {'user': 'ramy', 'machine':platform.node(), 'os':platform.system(), 'dist':platform.linux_distribution(), 'interfaces':netifaces.interfa... | RMDHMN/pythonFlash_testing | system-template.py | system-template.py | py | 469 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "platform.node",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "platform.linux_distribution"... |
6166872296 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 15 09:32:16 2017
@author: Francesco
"""
from sklearn.preprocessing import StandardScaler
import numpy as np
import threading as th
import time
import re
import matplotlib.pyplot as plt
movement_kind = ["wrist up",
"wrist down",
... | FrancesoM/UnlimitedHand-Learning | python_side/utilities.py | utilities.py | py | 16,063 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
30354806111 | import sys
# Enthought library imports
from pyface.qt import QtCore, QtGui
# Local imports
from tvtk.util.gradient_editor import (
ColorControlPoint, ChannelBase, FunctionControl, GradientEditorWidget
)
##########################################################################
# `QGradientControl` class.
######... | enthought/mayavi | tvtk/util/qt_gradient_editor.py | qt_gradient_editor.py | py | 19,600 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "pyface.qt.QtGui.QWidget",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pyface.qt.QtGui",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pyface.qt.QtCore.Qt",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": ... |
41913795360 | import logging
from functools import partial
from datasets import load_dataset
from transformers import (
Seq2SeqTrainer,
Seq2SeqTrainingArguments,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from src.callbacks import ShuffleCallback
from src.config import Config, TrainingArgumentsConfig
from... | Giorgi-Sekhniashvili/geo_whisper | train.py | train.py | py | 1,605 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "src.config.Config",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "src.config.Tr... |
8499225984 | from booleano.exc import InvalidOperationError
from booleano.operations.operands import Operand
__all__ = ["String", "Number", "Arithmetic", "Set"]
class Constant(Operand):
"""
Base class for constant operands.
The only operation that is common to all the constants is equality (see
:meth:`equals`).
Constants ... | MikeDombo/Stock_Backtester | booleano/operations/operands/constants.py | constants.py | py | 15,020 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "booleano.operations.operands.Operand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sys.version_info",
"line_number": 114,
"usage_type": "attribute"
},
{
"api_name": "pyparsing.ParseResults",
"line_number": 171,
"usage_type": "name"
},
{
... |
86366418129 | import numpy as np
import matplotlib.pyplot as plt
def radial_kernel(x0, X, tau):
return np.exp(np.sum((X - x0) ** 2, axis=1) / (-2 * tau * tau))
def local_regression(x0, X, Y, tau):
# add bias term
x0 = np.r_[1, x0]
X = np.c_[np.ones(len(X)), X]
# fit model: normal equations with kernel
xw ... | MitaAcharya/MachineLeaning | AndrewNG/Week2/Week2_LWR_Extra/LocalWeightedLinearRegression.py | LocalWeightedLinearRegression.py | py | 2,053 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.r_",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.c_",
"line_number": 12,
... |
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