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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
27096145601 | # IMPROVEMNTS:
# Lowercase all tokens t avoid duplicates.
# Separate based on punctuation like ' to allow not or n't to be given equal chance
import re
import nltk
import string
def sanitize_list_of_tokens(tokenized_sentences):
sanitized_sentences = []
is_word = re.compile('\w')
for sent in tokenized_sent... | osamamukhtar11/computational-creativity | week1/sanitizer.py | sanitizer.py | py | 1,464 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"l... |
27030369613 | #Advent of Code 2021
#Day 3: Binary Diagnostic
#v1.0 12/03/21 -- Leliel
from collections import Counter #Nifty mode, mean, etc for lists
#Initializations
gamma =""
epsi = ""
i = 0 # row
col=[]
gambits =[]
####Load matrix ####
with open('day3in.txt') as fn:
for line in fn:
bits... | Cleric-Leliel/AdventofCode2021 | Day3.py | Day3.py | py | 1,183 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 32,
"usage_type": "call"
}
] |
74606038588 | # -*- coding: utf-8 -*-
import pytest
from ksiega_wieczysta import KsiegaWieczysta
from dzialka import Dzialka
def test_default_verify_kw():
"""Test that the default number is empty string"""
vk = KsiegaWieczysta()
assert vk.numer == ''
@pytest.mark.parametrize("val,exp", [('LD1Y/00000351/8', True), ('... | jakubplata/KW | tests/test_ksiega_wieczysta.py | test_ksiega_wieczysta.py | py | 1,217 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ksiega_wieczysta.KsiegaWieczysta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ksiega_wieczysta.KsiegaWieczysta",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 14,
"usage_type": "call"
},
... |
19465699629 | """
Created on Tue Oct 09 16:39:00 2018
@author: Joshua C. Agar
"""
from numpy.core.multiarray import ndarray
from .format import *
import numpy as np
from ..util.file import *
from ..util.core import *
from ..analysis.machine_learning import *
from ..analysis.rnn import *
from matplotlib.ticker import FormatStrFormat... | jagar2/Revealing-Ferroelectric-Switching-Character-Using-Deep-Recurrent-Neural-Networks | codes/viz/plot.py | plot.py | py | 64,116 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.cm.viridis",
"line_number": 39,
"usage_type": "call"
},
{
"api_nam... |
71603089149 | import tkinter as tk
from tkinter import filedialog
import speech_recognition as sr
import pyaudio
import wave
from PIL import Image, ImageTk
def open_file_dialog():
file_path = filedialog.askopenfilename(filetypes=[("Audio Files", "*.wav")])
convert_speech_to_text(file_path)
def convert_speech_to_text(file_p... | merkurluxury/seslimetincevirci | ruby/google.py | google.py | py | 3,221 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 13,
"usage_type": "call"
},
{
... |
34859380583 | from flask import Flask, render_template, render_template_string, request, redirect
from flask_mysqldb import MySQL
import yaml
app = Flask(__name__)
# Configure DB
db = yaml.safe_load(open('db.yaml'))
# print(db)
app.config['MYSQL_HOST'] = db['mysql_host']
app.config['MYSQL_USER'] = db['mysql_user']
app.config['MYSQ... | MahikaJaguste/library-management-system | flask-website/app.py | app.py | py | 10,504 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
43227838835 | import os, sys, datetime, numpy as np, pandas as pd;
from django.core.management.base import BaseCommand, CommandError;
from django.db import models, transaction, IntegrityError;
from explorer.models import Protein, SequenceRecord, Taxon;
import pytz;
class Command(BaseCommand):
def add_arguments(self, parser):
... | CoronaWhy/Covid_Portal | webCovidPortal/explorer/management/commands/import_sequencerecord.py | import_sequencerecord.py | py | 5,122 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.isfile",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pa... |
42482681869 | import requests,json,os
# pushplus秘钥
sckey = os.environ.get("PUSHPLUS_TOKEN", "")
sendContent = ''
# glados账号cookie
cookies= os.environ.get("GLADOS_COOKIE", []).split("&")
if cookies[0] == "":
print('未获取到COOKIE变量')
cookies = []
exit(0)
def start():
url= "https://glados.rocks/api/user/checkin"
... | domeniczz/GLaDOS_checkin_auto | glados_Qinglong.py | glados_Qinglong.py | py | 1,978 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
40033905041 | # Import Required Libs
import os
import sys
from categories_meta import COCO_CATEGORIES, COCO_NAMES
from panopticapi.utils import id2rgb, rgb2id
import panopticapi
from PIL import Image, ImageDraw, ImageFont
import requests
import io
import math
import matplotlib.pyplot as plt
# %config InlineBackend.figure_format = ... | adilsammar/detr-fine | dataprepration/main.py | main.py | py | 6,853 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "itertools.cycle",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "seaborn.color_palette",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.set_grad_enabled",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torchvis... |
11813459247 | import sys
from sklearn.tree import DecisionTreeClassifier
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
sys.path.append('..')
from mlscratch.models.bagging import Bagging
from mlscratch.metrics import accuracy_score
if __name__ == '__main__':
X, y = load_br... | yutayamazaki/machine-learning-from-scratch | examples/bagging.py | bagging.py | py | 900 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklea... |
23135811933 | # -*- coding: utf-8 -*-
import sqlite3
connection = sqlite3.connect("company.db")
cursor = connection.cursor()
# delete
#cursor.execute("""DROP TABLE employee;""")
sql_command = """
CREATE TABLE employee (
staff_number INTEGER PRIMARY KEY,
fname VARCHAR(20),
lname VARCHAR(30),
gender CHAR(1),
joining DATE,
bir... | baadam3/ICS0019_Advanced_python_solutions | Examples/Database_code/dbSQL.py | dbSQL.py | py | 1,158 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
73554600509 | import numpy as np
import pandas as pd
import torch
import os
import cv2
import math
import datetime
import matplotlib.pyplot as plt
from scipy.spatial.distance import cdist
from torch.utils.data import Dataset
def rotate_image(image, angle):
image_center = tuple(np.array(image.shape[1::-1]) / 2)
rot_mat = c... | arseniybelkov/Determining_HOCB | load_data.py | load_data.py | py | 4,529 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.getRotationMatrix2D",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.warpAffine",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_LINEAR",... |
51692491 | import numpy as np
from corai_plot import APlot
from corai_util.tools.src.function_writer import factory_fct_linked_path
from root_dir import ROOT_DIR
from src.stock_bubble.plot_bubbles import plot_add_phases, \
plot_four_timeseries_decomp, plot_bubble_2d
from src.stock_bubble.sample_self_exciting_bubble import sa... | Code-Cornelius/jump_diff_bubble_II_thesis | src/simul_bubble_script.py | simul_bubble_script.py | py | 9,484 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"l... |
6959924602 | # https://matplotlib.org/examples/statistics/errorbar_demo_features.html
import numpy as np
import matplotlib.pyplot as plt
# example data
x = np.arange(0.1, 4, 0.5)
y = np.exp(-x)
# example error bar values that vary with x-position
error = 0.1 + 0.2 * x
fig, (ax0, ax1) = plt.subplots(nrows=2, sharex=True)
ax0.erro... | SCKIMOSU/Numerical-Analysis | errorbar.py | errorbar.py | py | 698 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
30138183165 | # !/usr/local/python/bin/python
# -*- coding: utf-8 -*-
# (C) Wu Dong, 2020
# All rights reserved
# @Author: 'Wu Dong <wudong@eastwu.cn>'
# @Time: '2020-03-19 10:23'
""" 演示 pre-request 框架如何使用空值校验
"""
from flask import Flask
from pre_request import pre, Rule
app = Flask(__name__)
app.config["TESTING"] = True
client = ... | Eastwu5788/pre-request | examples/example_filter/example_empty.py | example_empty.py | py | 1,227 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pre_request.Rule",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pre_request.Rule",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pre_request.pre.catch",... |
38749292803 | from math import nan
from matplotlib.pyplot import sca
import numpy as np
import pandas as pd
from pandas.core.frame import DataFrame
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import RobustScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import MaxAbsS... | GC212ML2/term-project | FBClassifier.py | FBClassifier.py | py | 20,255 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.core.frame.DataFrame",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pandas.core.frame.DataFrame",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 32,
"usage_type": "call"
... |
20415541366 | import json
import base64
import boto3
from datetime import datetime
def lambda_handler(event, context):
client = boto3.client('rds-data')
db_cluster_arn = "XXXXXXX"
db_credentials_secrets_store_arn = "XXXXX"
database_name = "DB NAME"
#print("Received event: " + json.dumps(event, indent=2))... | nanda4949/datapipeline | AWS_Stream_Processing_Pipeline/lambda_write_to_Aurora.py | lambda_write_to_Aurora.py | py | 6,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
}
] |
35925640159 | from typing import Any, Tuple
import numpy as np
import keras.backend as K
import keras.layers
from keras.layers import Dense, Activation, Input, Conv2D, MaxPooling2D
from keras import regularizers
from keras import metrics
from keras import optimizers
from keras.models import Sequential
from keras.applications.vgg16 ... | philine-bommer/Climate_X_Quantus | CphXAI/cphxai/src/utils/models.py | models.py | py | 5,466 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.models.Sequential",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "keras.regularizers.l1_l2",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "k... |
23432126079 | #CIFAR-10 Object Recognition: Build a machine learning model that can correctly classify images of objects from the CIFAR-10 dataset.
import tensorflow as tf
from tensorflow.keras import datasets, layers, models
import pandas as pd
import matplotlib.pyplot as plt
# Load the CIFAR-10 dataset from keras lib
(train_image... | rezashokrzad/git_youtube_tutorial | ML challenges/ML02.py | ML02.py | py | 2,306 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "tensorflow.keras.datasets.cifar10.load_data",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 21,
"usage_type": "ca... |
34464284141 | from click import clear
def Choose (dir):
fdata=open(f'{dir}','r')
import random
names=[]
while True:
name = fdata.readline()
if not name:
break
else:
names.append(name[:-1])
num=random.randint(0,len(names)-1)
fdata.close()
return (names[nu... | AnshBhardwaj1/Projects | Projects/Hangman/main.py | main.py | py | 1,574 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "click.clear",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "click.clear",
"line_number": 43,
"usage_type": "call"
}
] |
26180491120 | #!/usr/bin/env python
# Coordinator script by J.J.Iszatt
import os
import sys
import datetime
import subprocess
import configparser
from Bio import SeqIO
import csv
import functions as ji
# Reading inputs
input = '/assemble/input'
output = '/assemble/output'
logs = "/assemble/output/phanatic_log.tsv"
# Configuring ... | JoshuaIszatt/Phanatic | docker_lib/coordinator.py | coordinator.py | py | 6,195 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
... |
24362879640 | import datetime
from collections import defaultdict
from itertools import chain
from odoo import fields, models
from odoo.exceptions import ValidationError
from odoo.tools import float_compare
from ..tools.lib_holidays import is_holiday
class SaleOrder(models.Model):
_inherit = 'sale.order'
count_reverse ... | suningwz/netaddiction_addons | netaddiction_warehouse/models/sale_order.py | sale_order.py | py | 14,593 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "odoo.models.Model",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Integer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
... |
25805448587 | import ray
import time
# Inicializar Ray en modo de cluster
ray.init(address='auto') # Asumiendo que Ray está en modo de cluster
# ray.init(local_mode=True) # Inicializar Ray en modo local sin utilizar la distribución
# Definir una función simple para procesar la lista de manera paralela
@ray.remote
def pr... | joak99/SO-Asignacion3 | Asignación_3/Parte2_RayFramework/suma_sublista.py | suma_sublista.py | py | 1,477 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "ray.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ray.remote",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 25,
... |
72530978429 | import json
import traceback
# Exceptions
# keywords: try and except
# All non-system-exiting exceptions are derived from the Exception class
# Ex of hierarchy
# BaseException
# +--SystemExit
# +--KeyboardInterrupt
# +--Exception
# +--ArithmeticError
# +--FloatingPointError
# +--OverflowError
... | itiro-y/python-repo | LearningPython/exceptions/try_except.py | try_except.py | py | 2,810 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "traceback.print_exc",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 80,
"usage_type": "call"
}
] |
74718151227 | from enum import auto
import torch
from torchvision import datasets
from torchvision import transforms
from torchvision.utils import make_grid
import matplotlib.pyplot as plt
import numpy as np
from cylinder_dataset import *
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
# device = torch.devic... | DaydreamAtNight/autoencoder-identical-to-POD-PCA | 0_SVD_fluid.py | 0_SVD_fluid.py | py | 3,842 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
... |
26042453656 | from __future__ import annotations
import dataclasses
import itertools
import logging
import re
from dataclasses import dataclass
from pathlib import Path, PurePath
from textwrap import dedent
from typing import Iterable, List, Type
import pytest
from pants.build_graph.address import Address
from pants.core.goals.fi... | pantsbuild/pants | src/python/pants/core/goals/fix_test.py | fix_test.py | py | 17,032 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.engine.fs.FileContent",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pants.engine.fs.FileContent",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pants.engine.target.SingleSourceField",
"line_number": 54,
"usage_type": "name"
... |
40405165395 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
## Imports and get_param
import os
import sys
import glob
import h5py
import torch
from torch import optim
import numpy as np
from tqdm.notebook import trange, tqdm
import matplotlib.pyplot as plt
sys.path.append(os.path.abspath(os.path.join('..')))
from models.Angu... | anders-s-olsen/Task_WMM_ACGMM_HMM | notebooks/realdata_fit_alldata.py | realdata_fit_alldata.py | py | 8,651 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
70276816827 | import sys, getopt
import csv
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def main(argv):
inputfile = ''
outputfile = ''
try:
opts, args = getopt.getopt(argv,"hi:o:",["ifile=","ofile="])
except getopt.GetoptError:
print('plot_distribution.py -i <inputfile.csv> -o <out... | CAZ-H/Uni-AI-Akari | plot_distribution.py | plot_distribution.py | py | 2,028 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "getopt.getopt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "getopt.GetoptError",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_n... |
10775323759 | """
Slow, but it gets there. I needed to get a hint to check I was on the right
track. The most important part was coming up with clever ways of pruning, which
were specific to the problem domain.
"""
from collections import Counter, defaultdict, deque, namedtuple
from functools import cmp_to_key
from itertools impor... | knjmooney/Advent-Of-Code | 2022/19-geode.py | 19-geode.py | py | 3,313 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "requests_cache.CachedSession",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.load",... |
23036263057 | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 8 01:26:31 2020
@author: sjdef
"""
# imports for time
import time
from datetime import datetime
import pytz
# imports for data
#import yfinance as yf # pricing data
#import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import sqlite3
... | sjdefran1/algo-trade-bot | MACDcrossover.py | MACDcrossover.py | py | 34,327 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "alpaca_trade_api.REST",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "alpaca_trade_api.REST",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pandas.Ti... |
39252887710 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... | mangaki/mangaki | mangaki/mangaki/migrations/0001_initial.py | 0001_initial.py | py | 4,436 | python | en | code | 137 | github-code | 6 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 11,
"usage_type": "call... |
18739795103 | from flask import Flask, request, redirect, render_template, session, flash
from mysqlconnection import MySQLConnector
app = Flask(__name__)
mysql = MySQLConnector(app,'friendsdb')
@app.route('/')
def index():
query = "SELECT CONCAT(first_name, ' ', last_name) as name, occupation, DATE_FORMAT(created_at, '%d %b %y... | mtjhartley/codingdojo | dojoassignments/python/mysql_and_flask/full_friends/server.py | server.py | py | 1,229 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "mysqlconnection.MySQLConnector",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.... |
28248947795 | from models.blocks import *
import torch.utils.checkpoint as checkpoint
class LITLayer(nn.Module):
""" A basic LIT layer for one stage.
Args:
dim (int): Number of input channels.
input_resolution (tuple[int]): Input resolution.
depth (int): Number of blocks.
num_heads (int): Nu... | ziplab/LITv2 | classification/models/layers.py | layers.py | py | 2,961 | python | en | code | 182 | github-code | 6 | [
{
"api_name": "torch.utils.checkpoint.checkpoint",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "torch.utils.checkpoint",
"line_number": 54,
"usage_type": "name"
}
] |
36844673323 | import argparse
import os
import mmcv
import torch
import numpy as np
import json
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import get_dist_info, init_dist, load_checkpoint
from tools.fuse_conv_bn import fuse_module
from mmdet.apis import multi_gpu_test, single_gpu_test
fro... | DeepSceneSeg/EfficientPS | tools/cityscapes_inference.py | cityscapes_inference.py | py | 4,705 | python | en | code | 505 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "mmdet.apis.in... |
14975425130 | """Adds config flow for DuerOS."""
from __future__ import annotations
from dueros_smarthome.client import SmartHomeClient
from dueros_smarthome.const import STATUS_OK
import voluptuous as vol
from homeassistant import config_entries
from homeassistant.const import CONF_USERNAME
from homeassistant.exceptions import Int... | zsy056/dueros-ha | custom_components/dueros/config_flow.py | config_flow.py | py | 2,253 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "homeassistant.config_entries.ConfigFlow",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "homeassistant.config_entries",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "const.DOMAIN",
"line_number": 15,
"usage_type": "name"
},
{... |
17196146627 | import threading
import keyboard
import pyfirmata
import time
from Synthesizer import StringSynthesizer
from additiveStream import AdditiveStream
from GUI import PrototypeGUI
class ReadOctavesThread(threading.Thread):
def __init__(self, synthesizer, breadBoard, XPin, YPin, leds):
threading.Thread.__init_... | MTA20439/P4_prototype | Main.py | Main.py | py | 7,021 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": ... |
71816511867 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
function that takes a sys.argv,
typically a parent folder provided via bash or sbatch command,
and searches within that folder for any files ending in downsized_for_atlas.tif
It then takes the max projection along the final axis of that tiff
and saves it with the ap... | emilyjanedennis/PRA | src/check_alignment.py | check_alignment.py | py | 803 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,... |
32639245681 | from multiprocessing.dummy import freeze_support
from multiprocessing import Pool
from timer import timer
import wfdb
import numpy as np
import main
import json
from os import listdir
from os.path import isfile, join
# TODO
# Taśmy nie mają adnotacji lub mają ich za mało
# 214 - 2
# 111 - 0
# 109 - 0
FILES_TO_SKIP = ... | Andrzej97/QRS_HRV_analysis | tests.py | tests.py | py | 4,367 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "main.get_r_samples",
"line... |
31253645404 | #!/usr/bin/env python
# Description: publishes current state of the robot, enumerates possible state_sub
# and legal state changes
# changes in cr_ros_2: removed the states docked and docking which were unique to
# the physical structure of the turtlebot 2
# --> added namespacing to the service name and subscribed to... | campusrover/cr_ros_3 | src/all_states.py | all_states.py | py | 2,859 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "rospy.ServiceProxy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rospy.ServiceProxy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "geometry_msgs.msg.Pos... |
13486620535 | from collections import defaultdict
a_dir = '../2021-hashcode-practice/input/a_an_example.in.txt'
class project:
def __init__(self, d, s, b, r):
self.duration = d
self.score = s
self.bestbefore = b
self.roles = r
contributorDict = defaultdict()
projectDict = defaultdict()
jkDict = defaultdict() ## f... | spes2357/2021-hashcode-practice | JKChai/YongFirstTest.py | YongFirstTest.py | py | 5,848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
73652391229 | # 给你两个下标从 0 开始的字符串 s 和 target 。你可以从 s 取出一些字符并将其重排，得到若干新的字符串。
# 从 s 中取出字符并重新排列，返回可以形成 target 的 最大 副本数。
from collections import Counter
class Solution:
def rearrangeCharacters(self, s: str, target: str) -> int:
d1 = Counter(target)
d2 = Counter(s)
ans = float('inf')
for key, val... | xxxxlc/leetcode | array/rearrangeCharacters.py | rearrangeCharacters.py | py | 711 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
}
] |
42454385824 | import collections
import ctypes
import struct
import time
from .constants import MICROSEC_PER_SEC, NANOSEC_PER_MICROSEC
i8 = ctypes.c_int8
i16 = ctypes.c_int16
i32 = ctypes.c_int32
i64 = ctypes.c_int64
u8 = ctypes.c_uint8
u16 = ctypes.c_uint16
u32 = ctypes.c_uint32
u64 = ctypes.c_uint64
cint = ctypes.c_int
cuint ... | tiagocoutinho/linuxpy | linuxpy/ctypes.py | ctypes.py | py | 2,212 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "ctypes.c_int8",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_int16",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_int32",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_int... |
17441267494 | #importing essential libraries
import pandas as pd
import numpy as np
from sklearn.linear_model import LogisticRegression
import pickle
#create a function
def data_split(data,ratio):
np.random.seed(42)
shuffled = np.random.permutation(len(data))
test_set_size = int(len(data)*ratio)
test_indices = shuff... | imsanjoykb/Covid-19-Patient-Detector | COVID19/myTraining.py | myTraining.py | py | 1,139 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.permutation",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.rand... |
18318807371 | """P4Python - Python interface to Perforce API
Perforce is the fast SCM system at www.perforce.com.
This package provides a simple interface from Python wrapping the
Perforce C++ API to gain performance and ease of coding.
Similar to interfaces available for Ruby and Perl.
"""
classifiers = """\
Developmen... | rptb1/p4python | setup.py | setup.py | py | 15,518 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "distutils.core.setup",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "re.c... |
30950764847 | import numpy as np
import scipy.special as special
import matplotlib.pyplot as plt
def c_2(Pi):
K1prime = (-special.kn(0,np.sqrt(Pi))
-1/np.sqrt(Pi)*special.kn(1,np.sqrt(Pi)))
return -1/(3*np.sqrt(Pi)*K1prime)
def W0(x,Pi):
return special.kn(1,np.sqrt(Pi)*x)/x
def W(x,Pi):
return c... | samueljmcameron/ABPs_coarse_graining | experiments/2020_01_21/hard_sphere_w/analytical_solve_homogeneous_ODE.py | analytical_solve_homogeneous_ODE.py | py | 809 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.special.kn",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.special",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.sqrt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number"... |
20793254975 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import signal
def glance(x):
x = np.asarray(x)
if x.ndim > 1:
nch = x.shape[-1]
else:
nch = 1
x = x[:,None]
fig = plt.figure(constrained_layout=True)
gs = fig.add_gridspec(3, nch)
asp... | remifan/commplax | commplax/plot.py | plot.py | py | 3,449 | python | en | code | 49 | github-code | 6 | [
{
"api_name": "numpy.asarray",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "scipy.signal"... |
20519891800 | """!
@brief Examples of usage and demonstration of abilities of Local Excitatory Global Inhibitory Oscillatory Network (LEGION).
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
from pyclustering.utils import draw_dynamics;
from pyclustering.nnet.legion impor... | annoviko/pyclustering | pyclustering/nnet/examples/legion_examples.py | legion_examples.py | py | 6,495 | python | en | code | 1,113 | github-code | 6 | [
{
"api_name": "pyclustering.nnet.legion.legion_network",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyclustering.utils.draw_dynamics",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pyclustering.utils.draw_dynamics",
"line_number": 24,
"usage_typ... |
1795205230 | from torch.utils.data import Dataset
import numpy as np
from PIL import Image
from torchvision.transforms import ToPILImage
__all__ = ['CustomDataset']
class CustomDataset(Dataset):
def __init__(self, images, labels, transform=None):
assert images.shape[0] == labels.shape[0]
self.images = images... | PerdonLiu/Visual-Privacy-Protection-via-Mapping-Distortion | utils/custom_dataset.py | custom_dataset.py | py | 700 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToPILImage",
"line_number": 23,
"usage_type": "call"
}
] |
776601757 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common import exceptions
from pprint import pprint
chro... | Karamba278/parsing | DZ5/mvideo_v1.py | mvideo_v1.py | py | 1,734 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
... |
31183148641 | from django.db import models
from django.db.models import (
Model, DateTimeField)
from users.models import User
class TrackableDate(Model):
created_at = DateTimeField(auto_now_add=True)
class Meta:
abstract = True
class Post(TrackableDate):
title = models.CharField(max_length=255)
link... | myrza256/hackernews | core/models.py | models.py | py | 1,290 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.db.models.CharField",
"line_number": 16,
"usage_type": "call"
},
{
"ap... |
43085034741 | #!/bin/env python
"""
Program to manage and run ATS demo problems.
With inspiration, and in some places just stolen, from Ben Andre's
PFloTran regression test suite.
Author: Ethan Coon (ecoon@lanl.gov)
"""
from __future__ import print_function
import sys,os
import argparse
import textwrap
import time
try:
impor... | amanzi/ats | tools/testing/run_demos.py | run_demos.py | py | 6,110 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
27102970019 | from typing import Tuple
import jax.numpy as jnp
import numpy as np
def aggregate_marg_utils_and_exp_values(
value_state_choice_specific: jnp.ndarray,
marg_util_state_choice_specific: jnp.ndarray,
reshape_state_choice_vec_to_mat: np.ndarray,
taste_shock_scale: float,
income_shock_weights: jnp.nda... | OpenSourceEconomics/dcegm | src/dcegm/egm/aggregate_marginal_utility.py | aggregate_marginal_utility.py | py | 3,627 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "jax.numpy.ndarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "jax.numpy.ndarray",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy",
... |
20613810393 | import openai
from io import BytesIO
#样式美化
import streamlit as st
# 添加博客链接
st.markdown("""
<a href="https://yang1he.gitee.io" target="_blank">作者链接</a>
""", unsafe_allow_html=True)
import streamlit as st
keys = ["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",
"sk-orXLIhBsR4f4tfhHasPgT3BlbkFJbUjpyP... | nmhjklnm/chatpgt2 | version2/main.py | main.py | py | 3,233 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "streamlit.markdown",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompletion.create",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "op... |
40954153933 | import os.path
import secrets
from artifact_hub import s3_hub
from artifact_hub import S3Backend
def test_hub_initialization_s3_hub():
folder = "folder"
object_id = f"object_{secrets.token_hex(3)}"
bucket_name = "iamr0b0tx-development"
hub = s3_hub(bucket_name, folder, object_id)
assert isinstan... | robotstech/artifact-hub | tests/test_s3_hub.py | test_s3_hub.py | py | 1,025 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "secrets.token_hex",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "artifact_hub.s3_hub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "artifact_hub.S3Backend",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "secr... |
34946528621 | import socket
import os
import yaml
import jwt
HOST, PORT = '0.0.0.0', 8091
listen_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
listen_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 3)
listen_socket.bind((HOST, PORT))
listen_socket.listen(3)
listen_socket.setblocking(0)
socketList=[]
print('S... | shreyaghate02/http-server | mainweb-server.py | mainweb-server.py | py | 7,177 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socket.socket",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "socket.SOL_SOC... |
13204097862 | # Python libs
import collections
import os
import json
import logging
# Maya
import maya.cmds as cmds
from maya.api import OpenMaya as om
# Cortex
from ..api import component
from ..api import environment
# Logger
log = logging.getLogger(__name__)
log.setLevel(logging.INFO)
class Control(object):
"""
Funct... | GitHGuillaumeG/DEV | cortex/rigobject/control.py | control.py | py | 14,121 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "maya.cmds.objExists",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
... |
12575240346 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import re, time, os, joblib
from tqdm.notebook import trange, tqdm
from nltk.corpus import stopwords
from nltk.stem.snowball import SnowballStemmer
from nltk.stem import PorterStemmer, WordNetLemmatizer
from tqdm.notebook imp... | JiggyJimenez/jiggyjimenez.github.io | K-Drama XAI Project/kdu.py | kdu.py | py | 23,853 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "IPython.display.display_html",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "IPython.display.display_html",
"line_number": 80,
"usage_type": "call"
},
{
... |
5489557148 | #!/usr/bin/env python
"""
Setup script for rinohtype
"""
import sys
from setuptools import setup, find_packages
if sys.version_info < (3, 3):
print('rinohtype requires Python 3.3 or higher')
sys.exit(1)
def long_description():
import os
base_path = os.path.dirname(os.path.abspath(__file__))
... | rowhit/rinohtype | setup.py | setup.py | py | 3,280 | python | en | code | null | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
24834113846 | """
Cluster the 2D PCA vectors uing kmean clustering
- Please specify the number of clusters
# Example run: cluster PCA
singularity exec forgi-centroid-mea-final.simg python3 draw-kmeans-clusters.py --input_file COOLAIR3_R1_R2-forgi-pca.csv --tag COOLAIR3_R1_R2 --num_clusters 3
"""
import matplotlib as mpl
m... | DingLab-RNAstructure/smStructure-seq | draw-kmeans-clusters.py | draw-kmeans-clusters.py | py | 4,645 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sklearn.cluste... |
21341156863 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# author: KrianJ
# datetime:2022/5/7 14:01
# software: PyCharm-FFM_torch
import torch
import torch.nn as nn
import torch.nn.functional as F
class FFM_Layer(nn.Module):
def __init__(self, dense_features, sparse_features, sparse_feature_dim, k: int):
... | KrianJ/CtrEstimate | models_torch/FFM.py | FFM.py | py | 2,349 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
33583672361 | from flask import Flask
from controller import blueprints
from flask_cors import CORS
import os
__all__ = ('create_app',)
def create_app(config=None, app_name='face-detection-UI'):
"""
Initializes the application and its utilities.
"""
app = Flask(app_name, template_folder=os.path.join('templates'),... | giobart/face-detection-UI | app.py | app.py | py | 618 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask_cors.CORS",
"line_num... |
25926471732 | '''
Created on 08 May 2014
@author: Deon
'''
from PyQt4.QtGui import QGroupBox as QGroupBox
from PyQt4.QtGui import QFileDialog
from Output.AsciiGUI import Ui_Ascii
from mylib import ProgressBar
import numpy as np
import sys
import os
import zipfile
from shutil import copy2
class AsciiDEF(QGroupBox)... | Deon-Marais/ScanManipulator | Output/AsciiDEF.py | AsciiDEF.py | py | 16,377 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt4.QtGui.QGroupBox",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QGroupBox.__init__",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtGui.QGroupBox",
"line_number": 20,
"usage_type": "name"
},
{
"api_na... |
18051477859 | import asyncio
import discord
from discord.ext.commands import Bot
from discord.ext import commands
from discord import Color, Embed
from MinecraftServer import MinecraftServer
Client = discord.Client()
bot = commands.Bot(command_prefix = "!")
bot.remove_command("help")
with open("ip.txt", "r") as f:
lines = ... | DaleNaci/Aqua-Bot | bot/Main.py | Main.py | py | 1,322 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "Minecraf... |
12500001115 | #!/usr/bin/env python
import sys
import threading
import ipaddress
from scapy.all import ICMP, IP, sr1
from queue import Queue
if len(sys.argv) < 2:
print("Usage: icmping <host> [icmp_type] [icmp_code]\n")
print("eg: icmping 192.168.56.0/24")
print("eg: icmping 192.168.56.0/24 13 0")
print("eg: icmpin... | c4pr1c3/cuc-ns-ppt | attach/chap0x05/icmping.py | icmping.py | py | 1,599 | python | en | code | 22 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,... |
16645091989 | # !/usr/bin/python
# -*- coding: utf-8 -*-
"""
__author__ = 'qing.li'
"""
import xlrd
from xlutils.copy import copy
# 单元格需要设置为文本类型
class OperaExcel:
def __init__(self, file_path=None, i=None):
if not file_path:
self.file_path = "../excel/key_word.xlsx"
else:
self.file_path ... | QingqinLi/ui_project | util/opera_excel.py | opera_excel.py | py | 1,267 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "xlutils.copy.copy",
"line_number": 41,
"usage_type": "call"
}
] |
31612534442 | import telebot
import pandas as pd
from templates import *
import requests
ROOT_FOLDER = ''
API_KEY = 'YOUR TOKEN'
bot = telebot.TeleBot(API_KEY)
def save_chat_id(chat_id, latitude=0.0, longitude=0.0):
try:
df_chats = pd.read_csv(f"{ROOT_FOLDER}/resources/chats.csv")
if not df_chats.isin([chat_id]... | rakhmatov-dev/iss_location_bot | main.py | main.py | py | 2,978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "telebot.TeleBot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"... |
35959582623 | import sys
import numpy as np
from lib.robot_mod import Car, Robot
from lib.vo import VelocityObstacle
from lib.path_planner import DubinsPathPlanner
from lib.motion_controller import *
from pygame_animation import Screen
def main_robots():
screen = Screen(scale=20)
robots = init_robots()
run = True
... | kentamt/mapf_playground | run_turtlebot_example.py | run_turtlebot_example.py | py | 3,485 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pygame_animation.Screen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "lib.vo.VelocityObstacle",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "lib.robot_mo... |
74285388027 | import sys
sys.path.append('../python')
sys.path.append('../apps')
import needle as ndl
import numpy as np
import torch
import torch.nn as nn
from d2l import torch as d2l
import math
class MultiHeadAttention(nn.Module):
"""MultiHeadAttention"""
def __init__(self, key_size, query_size, value_size, num_hiddens,
... | Erostrate9/needle | tests/TransformerDecoder.py | TransformerDecoder.py | py | 28,334 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
28031017443 | import torch
import sys
sys.path.append('/home/kargarisaac/codes/deepdrive-zero/')
from deepdrive_zero.constants import COMFORTABLE_STEERING_ACTIONS, \
COMFORTABLE_ACTIONS
resume = True
gamma = 0.99
batch_size = 32 #number of sequences to select
lr = 1e-4
initial_exploration = 2e3 # each one has n_envs sample ->... | kargarisaac/R2D2 | config.py | config.py | py | 1,624 | python | en | code | 2 | 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.device",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
41791335734 | import cv2 as cv
from gtts import gTTS
import os,sys,subprocess
import RPi.GPIO as GPIO # Import Raspberry Pi GPIO library
from OCR.SceneOCR import SceneOCR
from OCR.DocScanner import DocScanner
from OCR.DocOCR import DocOCR
from SceneDescribe.Depth import SceneDescribe
import os
image_path="InputImages/camera_image_... | TheNova22/OurVision | legacy2/b2.py | b2.py | py | 4,813 | python | en | code | null | github-code | 6 | [
{
"api_name": "cv2.dnn.readNet",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.dnn.readNet",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_numb... |
73083660027 | import numpy as np
import matplotlib.pyplot as plt
# height (cm)
X = np.array([[147, 150, 153, 158, 163, 165, 168, 170, 173, 175, 178, 180, 183]]).T
# weight (kg)
y = np.array([[ 49, 50, 51, 54, 58, 59, 60, 62, 63, 64, 66, 67, 68]]).T
# plt.show()
one = np.ones((X.shape[0], 1))
Xbar = np.concatenate((one, X), axis=... | cuongdd2/cs582 | linear_regression.py | linear_regression.py | py | 764 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number... |
25873728905 | import copy
import os
import yaml
from moonship.core.error import ConfigException
from typing import ItemsView, Iterator, KeysView, Union
__all__ = [
"Config",
"ConfigItemsView"
]
def convert_config_value(value: any, parent_key: str, key: str) -> any:
if isinstance(value, dict):
value = Config(v... | mpaulse/moonship | moonship/core/config.py | config.py | py | 3,500 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.ItemsView",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Iterator",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"lin... |
22505082209 | import nltk
import json
# Dev mode
dev = False
def chomp(x):
if x.endswith("\r\n"): return x[:-2]
if x.endswith("\n") or x.endswith("\r"): return x[:-1]
return x
def filt(x):
return x.label()=='JP'
class SimplePPDB(object):
def __init__(self):
# each key in self is a token, and each... | klabarbara/ppdb | SimplePPDB.py | SimplePPDB.py | py | 5,609 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.word_tokenize",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "nltk.pos_tag",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 170,
"usage_type": "call"
}
] |
16514333784 | import time
import requests
import pandas as pd
from itertools import groupby
#takes a string address and returns longitude, latitude and score tuple
def adresse_to_lon_lat(adresse):
url = "https://api-adresse.data.gouv.fr/search"
response = requests.get(url, params = {'q': adresse, 'limit': '1'})
result ... | ghassenabdedayem/real_estate | Immo/First_model/geo_processing.py | geo_processing.py | py | 3,108 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number":... |
11257156561 | from copy import deepcopy
from Generator import *
from Representation import *
from collections import defaultdict
class Kosaraju:
def __init__(self, vertex,prob=0, head=False):
self.V = vertex
self.graph = defaultdict(list)
self.result=[]
self.repres = None
if head : self.... | kryptoTomo/Graph-Calculator | src/Kosaraju.py | Kosaraju.py | py | 2,099 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Generator.rand_digraph_edge_probability",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 22,
"usage_type": "call"
}
] |
22700263274 | from segmentation.utils import animate2
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from pathlib import Path
import os
if __name__ == '__main__':
dataset = 'exp12'
filename = 'Unet_resnet34.json'
mean_cca = False
path = os.path.join(Path(__file__).resolve().parent, 'logs',... | KochPJ/AutoPoseEstimation | segmentation/stream_logs.py | stream_logs.py | py | 616 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
26471376961 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('id', models.A... | marcusshepp/nine_oh_lb | registration/migrations/0001_initial.py | 0001_initial.py | py | 1,567 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
24107221993 | from __future__ import absolute_import
import typing as t
from marshmallow import Schema, post_dump, post_load
from marshmallow.fields import (
Boolean,
DateTime,
Dict,
Field,
Float,
Integer,
List,
Nested,
String,
)
from marshmallow.schema import BaseSchema, SchemaMeta, with_metacl... | Kashif186/python-eccomerce-testing | myenv/Lib/site-packages/applitools/selenium/schema.py | schema.py | py | 20,049 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "marshmallow.schema.with_metaclass",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "marshmallow.schema.SchemaMeta",
"line_number": 63,
"usage_type": "argument"
... |
29343753537 | import numpy as np
import random
from collections import namedtuple
from math import sqrt
from vec3 import Vec3
class Ray:
def __init__(self, origin: Vec3, arrow: Vec3):
self.origin = origin
self.arrow = arrow.unity()
class Camera:
def __init__(self, scr_w, scr_h, msaa=1):
random.se... | hdtx/raytracer-comparison | py/raytracer.py | raytracer.py | py | 3,715 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "vec3.Vec3",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "vec3.Vec3",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "vec3.Vec3",
"line_number": 29,
... |
74521869627 | # Importing necessary modules from SQLAlchemy
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.orm import declarative_base, sessionmaker
# Set up SQLAlchemy Engine and Session
engine = create_engine("mysql://cf-python:password@localhost/my_database")
Session = sessionmaker(bind=engine)
ses... | philippeducasse/python-intro | Achievement-1/1.7/recipe_app.py | recipe_app.py | py | 8,648 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.declarative_base",
"line_number": 10,
"usage_type": "call"
},
{
... |
72937565307 | import logging
import os
import re
from collections import defaultdict
from subprocess import Popen, PIPE
from typing import List, Tuple, Union, Optional, Any
import pandas as pd
from refseq_masher.const import REGEX_FASTA, REGEX_FASTQ
from .const import REGEX_FASTQ, REGEX_FASTA
NT_SUB = {x: y for x, y in zip('acgtr... | phac-nml/refseq_masher | refseq_masher/utils.py | utils.py | py | 7,033 | python | en | code | 38 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "subprocess.PIPE",
"line_nu... |
447286576 | import os
import sys
import math
import click
import dnnlib
import numpy as np
import PIL.Image
import torch
from torch import optim
from torch.optim.lr_scheduler import StepLR
import torch.nn as nn
import legacy
import pickle
from tqdm import tqdm
from typing import List, Optional, Tuple, Union
try:
import wandb
e... | JueLin/stylegan3-texture-analysis-synthesis | train_encoder.py | train_encoder.py | py | 5,560 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"lin... |
69958657149 | from django.db import models
from django.db.models.signals import pre_delete, m2m_changed
from django.dispatch import receiver
from utils.date_persian import date_fromgregorian
from django.core.exceptions import ValidationError
from deliver.models import Deliver
import logging
# Create your models here.
logger = log... | amiravtar/restaurant_management | webapp_restuarant/order/models.py | models.py | py | 9,913 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django... |
12860595547 | import editor
import re
import datetime
def stat():
res = "По состоянию на " + str(datetime.datetime.now().time()) + " " + str(datetime.datetime.now().date()) + "\n\n"
ed = editor.Editor("Википедия:Статьи года/2014/Голосование")
data = ed.get_text()
tmp_list = re.findall("[^=]==[^=]+==[^=]", data)
... | daoh/wp | yeararticle.py | yeararticle.py | py | 2,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "editor.Editor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.findall",
... |
33273208633 | import urllib.parse
import requests
main_api = "http://www.mapquestapi.com/directions/v2/route?"
orig = "Kiev"
dest = "London"
key = "nx6L2yvG2qBBYY9c###nB4RXshWv4vTitHu"
url = main_api + urllib.parse.urlencode({"key": key, "from":orig, "to":dest})
print(url)
json_data = requests.get(url).json()
print(json_data)
| dev8psST/netacad_dev_net | 08_parse-json1.py | 08_parse-json1.py | py | 316 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.parse.urlencode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "reques... |
12062187410 | # /usr/bin/env python
welcomeText = '''#
# hire.vladimir@gmail.com
#
# allow regex matches on MV fields + passing in regex values via field/token
#
# rev. history
# 10/20/15 1.0 initial write
#
'''
import time, os, re
import logging, logging.handlers
import splunk.Intersplunk as si
####################################... | hire-vladimir/SA-cim_vladiator | bin/mvrex.py | mvrex.py | py | 5,909 | python | en | code | 70 | github-code | 6 | [
{
"api_name": "logging.INFO",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.match",
... |
16705574064 | from countdown.models import Word
import os
import django
# Calculate the path to your Django project's settings module
project_directory = os.path.dirname(os.path.abspath(__file__))
settings_module = 'countdown_game.settings'
django_settings_module = f"{project_directory}/{settings_module}"
# Set the DJANGO_SETTINGS... | Chikitonik/DI_Bootcamp | Week_13_PY/Day5/exercises_xp/countdown_game/countdown_game/save_words.py | save_words.py | py | 930 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ.setdefault",
... |
30354297701 | from os.path import abspath
from io import BytesIO
import copy
import numpy as np
import unittest
# Enthought library imports
from mayavi.core.null_engine import NullEngine
from mayavi.filters.contour import Contour
from mayavi.filters.optional import Optional
from mayavi.filters.collection import Collection
from maya... | enthought/mayavi | mayavi/tests/test_optional_collection.py | test_optional_collection.py | py | 4,503 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "mayavi.core.null_engine.NullEngine",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mayavi.tests.datasets.generateStructuredGrid",
"line_number": 29,
"usage_type":... |
8780836707 | import json
import os
import re
import subprocess
from contextlib import contextmanager
from datetime import datetime
# import schedule
@contextmanager
def chdir(path):
"""Change working directory to `path` and restore it again
This context manager is useful if `path` stops existing during your
operation... | andersy005/hpc-tools | scheduled-workflows/glade-catalog-update.py | glade-catalog-update.py | py | 2,884 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_num... |
14995444175 | from django.conf.urls import url
from .views import *
app_name="education"
urlpatterns=[
url(r'^register/$',register,name="register"),
url(r'^login/$',login,name="login"),
url(r'^index/$',index,name="index"),
url(r'^courses/$',courses,name="courses"),
url(r'^coursesingle/(\d+)/$',coursesingle,name... | pan0527/chenpan | demo4/apps/education/urls.py | urls.py | py | 1,055 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
20896144834 | import argparse
from typing import Tuple
import tensorflow as tf
import numpy as np
import pickle
import math
import cv2
import matplotlib.pyplot as plt
from sklearn.metrics import auc
from skimage.transform import resize
from sklearn.metrics import confusion_matrix
from sklearn.metrics import roc_curve, roc_auc_scor... | sanaullah-ashfat/tpu-imagenet-large | train.py | train.py | py | 16,667 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.bfloat16",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name... |
24886221719 | from aiohttp.test_utils import unittest_run_loop
from djaio.tests import DjaioAppTestCase
from djaio.tests.data.models import TstOutput, TstPostInput
from djaio.tests.data.views import TstInputView, TstInputDetailView
class TestBaseMethod(DjaioAppTestCase):
def init_routes(self, app):
super().init_route... | domclick/djaio | djaio/tests/adv_test_methods_db.py | adv_test_methods_db.py | py | 4,509 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "djaio.tests.DjaioAppTestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "djaio.tests.data.views.TstInputView",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "djaio.tests.data.views.TstInputView",
"line_number": 13,
"usage_type"... |
27592776052 | import os
import json
import sys
import time
import threading
import serial
fr = open("config.json","r")
data = json.load(fr)
fr.close()
recport=data['recport']
traport=data['traport']
fr = open("filedata.json","r")
data = json.load(fr)
fr.close()
ser = serial.Serial()
ser.baudrate=230400
ser.port=recport
ser.open(... | eclubiitk/Li-Fi-E-Club | FTP v3.0 Dev/transnew.py | transnew.py | py | 6,442 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 2... |
6778535251 | import os
import cleaning_and_normalizing as cleandnor
import encoding_korbert as enc
import keras as keras
import numpy as np
import pandas as pd
import tensorflow as tf
from keras.models import load_model
from keras_bert import (
AdamWarmup,
Tokenizer,
calc_train_steps,
load_trained_model_from_checkp... | aiffelthon-gal/gal | code/text2cls.py | text2cls.py | py | 5,348 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "encoding_korbert.make_table",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "encoding_korbert.load_data",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name"... |
71712522427 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Tuple
from .utils import initialize_tensor
__all__ = [
"Conv2d",
"Conv2d_Bezier",
"Conv2d_BatchEnsemble",
"Conv2d_BatchEnsembleV2",
"Conv2d_Dropout",
"Conv2d_SpatialDropout",
"Conv2d_DropBlock... | cs-giung/giung2 | giung2/layers/conv.py | conv.py | py | 13,690 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "math.ceil",
"line... |
3929117673 | import random
import string
from typing import Optional, List
from sqlalchemy.orm import Session
from sqlalchemy.exc import MultipleResultsFound
from src.data_access.database.models.users import UserEntity
from src.common.models.library_management.account import Account
from src.data_access.database.models.account_en... | mariusvrstr/PythonMicroservice | src/data_access/repositories/account_repository.py | account_repository.py | py | 2,423 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.data_access.repositories.base_repository.SqlAlchemyRelationalRepositoryBase",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "src.data_access.database.models.users.User... |
8986358022 | import pyproj
def trans_coord(lon, lat):
prj = pyproj.Transformer.from_crs(crs_from=4326, crs_to=3857, always_xy=True)
xs, ys = prj.transform(lon, lat)
return xs, ys
if __name__ == "__main__":
print(trans_coord(116.407718, 39.912721)) # 北京坐标
| Clarmy/clarmy02 | clarmy02/__init__.py | __init__.py | py | 272 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyproj.Transformer.from_crs",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyproj.Transformer",
"line_number": 5,
"usage_type": "attribute"
}
] |
21210872100 | '''
Practica 30
Generar un programa que permita al usuario ingresar una lista de entre 2 y 6 números
enteros y mostrar todas las posibles permutaciones de la lista
@utor: Francisco Zamora Saldaña
Programación avanzada 2MM3
'''
from itertools import permutations
print("Permutaciones de una lista")
def nu... | FranciscoZS/PythonCode | practica30.py | practica30.py | py | 1,371 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 48,
"usage_type": "call"
}
] |
72160444989 | import tkinter
import json
# window size (fixed, but you can adjust here)
H, W = 360, 640
def main():
root = tkinter.Tk()
root.title('HexSlider')
root.wm_resizable(0,0) # prevent resizing
canv = BoardViewCanvas(root)
# begin!
root.mainloop()
class Color:
BG = "#663300"
FG = "#ffd9b3"... | Dovermore/artificial_intelligence_project | artificial_idiot/tests/texgen.py | texgen.py | py | 9,206 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tkinter.Canvas",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Entry",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "tkinter.Entry",
"line... |
44305428675 | from model.transformer import Summarizer
from model.common_layer import evaluate
from utils import config
import torch
import torch.nn as nn
import torch.nn.functional as F
from tqdm import tqdm
import os
import time
import numpy as np
from utils.data import get_dataloaders, InputExample, InputFeatures
def count_par... | nayeon7lee/bert-summarization | main.py | main.py | py | 1,942 | python | en | code | 121 | github-code | 6 | [
{
"api_name": "model.transformer.parameters",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "model.transformer",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.data.get_dataloaders",
"line_number": 17,
"usage_type": "call"
},
{
"api_nam... |
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