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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
28461310050 | import json
import requests
from tkinter import *
from tkinter import scrolledtext
def zapros():
repo = txt.get() #переменная через которую мы получаем значение от пользователя
url = f"https://api.github.com/repos/{repo}"
rep = requests.get(url).json() #переменная в которую делается запрос request и преобразует в... | ShiroShinigam1/PL-Litovchenko | пр 11/import json.py | import json.py | py | 1,511 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.scrolledtext.ScrolledText",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tkinter.scrolledtext",
"line_number": 45,
"usage_type": "name"
}
] |
29460370820 | # coding: utf-8
import types
import numpy as np
from numpy.linalg import solve
from scipy.misc import comb
from .system import AbstractSystem
class StateSpace(AbstractSystem):
'''state space
F: transition matrix
G: noise transition matrix
H: observation matrix
Q: transition covariance
R: obs... | KojiOchiai/pyforecast | pyforecast/system/statespace.py | statespace.py | py | 6,680 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "system.AbstractSystem",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
... |
24395485487 | import requests, json
import wikipediaapi
wiki_wiki = wikipediaapi.Wikipedia('en')
page_py = wiki_wiki.page('paracetamol')
print("Page - Exists: %s" % page_py.exists())
print("Page - Title: %s" % page_py.title)
# Page - Title: Python (programming language)
print("Page - Summary: %s" % page_py.summary[0:60])
# Page... | joofio/WikipediaGet | wikipediaapi.py | wikipediaapi.py | py | 2,274 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "wikipediaapi.Wikipedia",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "wikipediaapi.Wikipedia",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "wikipediaapi.ExtractFormat",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_... |
38796690860 | from keras.layers.convolutional import Conv2D
from keras.layers import BatchNormalization, Activation
from keras import initializers
def conv2d_block(input_tensor, n_filters, kernel_size=3, batchnorm = True, seed = 0):
initializer = initializers.he_normal(seed = seed)
# First layer
x = Conv2D(filters = n_... | fj23eslaonda/Wave_by_Wave_Identification | U-Net Architecture/conv2d_block.py | conv2d_block.py | py | 801 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "keras.initializers.he_normal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "keras.initializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "keras.layers.convolutional.Conv2D",
"line_number": 9,
"usage_type": "call"
},
{
"ap... |
40351943949 | from typing import Any, Dict, Optional
import getml.communication as comm
from .connection import Connection
def execute(query: str, conn: Optional[Connection] = None):
"""
Executes an SQL query on the database.
Please note that this is not meant to return results. If you want to
get results, use d... | getml/getml-community | src/python-api/getml/database/execute.py | execute.py | py | 978 | python | en | code | 46 | github-code | 7 | [
{
"api_name": "typing.Optional",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "connection.Connection",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "connection.Connection",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing.Dict... |
34914848753 | #!/usr/bin/env python3
from termcolor import colored
from telnetlib import Telnet
from ast import arg
from sys import exit
import threading
import argparse
import socket
import time
def Good(msg):
print(colored('[', 'cyan', attrs=['bold']) + colored("+", "white", attrs=['bold']) + colored('] ', "cyan", attrs=['bo... | 0xSojalSec/-CVE-2011-2523 | exploit.py | exploit.py | py | 1,987 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "termcolor.colored",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"lin... |
6311521922 | from typing import List, Tuple, Union
import numpy as np
def check_data(data: Union[np.ndarray, List[np.ndarray]]) -> Tuple[np.ndarray, np.ndarray]:
if isinstance(data, list):
if len(data) == 0:
return np.array([]), np.array([0])
bounds = []
start = 0
for seq in data:
... | AntoinePassemiers/ArchMM | archmm/utils.py | utils.py | py | 545 | python | en | code | 33 | github-code | 7 | [
{
"api_name": "typing.Union",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_numb... |
6820720099 | from typing import List
import csv
import os
import struct
import argparse
import logging
from pathlib import Path
from io import IOBase
from sllib.frame import Frame
from sllib import Reader
logger = logging.getLogger(__name__)
# root = logging.getLogger('root')
"""
This was used to figure out valid... | opensounder/python-sllib | utils/offsets.py | offsets.py | py | 3,513 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "io.IOBase",
... |
38302640134 | import re
import wikipedia
from paragraph import Paragraph
class Wikipage:
"""Representation of wikipedia article"""
def __init__(self, subject):
"""
subject (string) : subject of desired wikipedia article
"""
self.subject = subject
self.page = wikipedia.page(self.subject)
self.sections =... | helenmfoster/MLProject | wikipage.py | wikipage.py | py | 2,295 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "wikipedia.page",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "paragraph.Paragraph",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "paragraph.content",
"li... |
30657251349 | #!/usr/bin/python3
"""Tests for the Rectangle module."""
import unittest
from models.base import Base
from models.rectangle import Rectangle
import io
import sys
import os
class TestRectangle(unittest.TestCase):
def setUp(self):
self.saved_output = sys.stdout
sys.stdout = io.StringIO()
def... | Wangui-quinnie/alx-higher_level_programming | 0x0C-python-almost_a_circle/tests/test_models/test_rectangle.py | test_rectangle.py | py | 2,950 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
... |
29543217290 |
import pygame
import random
import time
pygame.init()
# Colores
black = (0, 0, 0)
white = (255, 255, 255)
red = (255, 0, 0)
blue = (0, 0, 255)
screen_size = (800, 600)
player_width = 15
player_height = 90
screen = pygame.display.set_mode(screen_size)
clock = pygame.time.Clock()
# cordena... | franco954/Pong-Game | pong.py | pong.py | py | 4,488 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cl... |
9250849958 | """Definitions for specifying how to start a component."""
from enum import Enum
from pathlib import Path
from typing import cast, Dict, List, Optional, Union
from ruamel import yaml
import yatiml
from ymmsl.identity import Reference
class KeepsStateForNextUse(Enum):
"""Describes whether an implementation keeps... | multiscale/ymmsl-python | ymmsl/execution.py | execution.py | py | 13,477 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "yatiml.Node",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "typing.cast",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "yatiml.Node",
"line_number... |
9890507685 | # coding: utf-8
"""
Logic module for management of action translations
Action translations contain all language-dependent attributes of an action
for a specific language.
"""
import dataclasses
import typing
from flask_babel import _
from .. import db
from . import errors, actions, languages
from .languages import L... | sciapp/sampledb | sampledb/logic/action_translations.py | action_translations.py | py | 7,430 | python | en | code | 21 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "languages.Language",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "dataclasses.field",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "languages.... |
24561601057 | """Test AzureML Endpoint wrapper."""
import json
import os
from pathlib import Path
from typing import Dict
from urllib.request import HTTPError
import pytest
from langchain_community.llms.azureml_endpoint import (
AzureMLOnlineEndpoint,
ContentFormatterBase,
DollyContentFormatter,
HFContentFormatter... | langchain-ai/langchain | libs/community/tests/integration_tests/llms/test_azureml_endpoint.py | test_azureml_endpoint.py | py | 4,963 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "langchain_community.llms.azureml_endpoint.AzureMLOnlineEndpoint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 25,
"usage_type": "call"
},
{
... |
20490466290 | import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import random
mpl.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
xyz = []
cur = [0, 0, 0]
for _ in range(20):
axis = random.randrange(0, 3)
cur[axis] += random.c... | CodeDem/mlprac | Practical8.py | Practical8.py | py | 511 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rand... |
72870365022 | import argparse
import glob
import os
from shutil import copy
import h5py
import soundfile as sf
import numpy as np
import torch
from torch import nn
import tqdm
from fairseq.models.wav2vec import Wav2VecModel
def read_audio(fname):
""" Load an audio file and return PCM along with the sample rate """
wav, ... | Ascend/ModelZoo-PyTorch | PyTorch/dev/nlp/FairSeq_Transformer_ID0496_for_PyTorch/scripts/wav2vec_featurize.py | wav2vec_featurize.py | py | 6,825 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "soundfile.read",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_n... |
3235332170 | """added details to user
Revision ID: 411094f6b709
Revises: 0615faca43b1
Create Date: 2022-09-27 20:55:12.280567
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '411094f6b709'
down_revision = '0615faca43b1'
branch_label... | Kraken-CI/kraken | server/kraken/migrations/versions/411094f6b709_added_details_to_user.py | 411094f6b709_added_details_to_user.py | py | 527 | python | en | code | 107 | github-code | 7 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.dialect... |
6957996270 | from __future__ import print_function
from ortools.sat.python import cp_model as cp
import math, sys
# from cp_sat_utils import *
class SolutionPrinter(cp.CpSolverSolutionCallback):
"""SolutionPrinter"""
def __init__(self, x1, x2):
cp.CpSolverSolutionCallback.__init__(self)
self.__x1 = x1
... | hakank/hakank | google_or_tools/sicherman_dice_sat.py | sicherman_dice_sat.py | py | 2,306 | python | en | code | 339 | github-code | 7 | [
{
"api_name": "ortools.sat.python.cp_model.CpSolverSolutionCallback",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ortools.sat.python.cp_model",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "ortools.sat.python.cp_model.CpSolverSolutionCallback.__init__... |
12160539570 | # -*- coding: utf8 -*-
# Programa: Examen II Parcial // clase vehiculo
# Autor: Akdiel Callejas Amador
# Fecha 13/03/20
import datetime
ultimo_id = 0
class Vehiculo:
""" se encarga de la cración de un objeto tipo Vehículo """
def __init__(self, numero_placa, marca="", model="",tipo_vehiculo="" ):
"""... | ACallejas21/ExamenProgramaci-nMultiplataforma | vehiculo.py | vehiculo.py | py | 930 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
}
] |
14841990693 | """Utility functions for plotting."""
import plotnine as pn
import pandas as pd
from misc.util import encoder_columns
def numeric_col_to_categorical(df: pd.DataFrame, col: str) -> pd.DataFrame:
"""Change a float valued column (e.g. run or round) to Categorical for visualization."""
# adjust values to Categor... | nathimel/ibsg | src/misc/vis.py | vis.py | py | 6,363 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pandas.Categorical",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pandas.... |
3091075540 | from __future__ import unicode_literals
from django.db import models
import datetime
# Create your models here.
class Notices(models.Model):
sender_name=models.CharField(max_length=30)
sender_department=models.CharField(max_length=30)
post_on=models.DateTimeField()
content=models.CharField(max_length=250)
class... | shakarbhattarai/TheKuApp | KUApp/Notice/models.py | models.py | py | 1,228 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
5928605811 | import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
# 線形関数の定義
def linear_func(x, a, b):
return a * x + b
# データ数
n = 100
# xの範囲
x_min, x_max = 0, 10
# 誤差の範囲
error_range = 0.5
# xの配列を生成
x_values = np.linspace(x_min, x_max, n)
# 2つのランダムな誤差を含むyの配列を生成
y1_values = 3 * x_values + ... | kuntaro0524/gemmi | 03.scaled_cc/test2.py | test2.py | py | 1,558 | python | ja | code | 0 | github-code | 7 | [
{
"api_name": "numpy.linspace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.un... |
44130944868 | from typing import List, Any
from unittest.mock import patch
import torch
import pytest
from torchsim.core import get_float, SMALL_CONSTANT
from torchsim.core.memory.tensor_creator import AllocatingCreator
from torchsim.core.models.expert_params import ExpertParams, DEFAULT_CONTEXT_PRIOR, NUMBER_OF_CONTEXT_TYPES
from... | GoodAI/torchsim | tests/core/models/temporal_pooler/test_temporal_pooler.py | test_temporal_pooler.py | py | 22,840 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "torchsim.core.models.expert_params.DEFAULT_CONTEXT_PRIOR",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torchsim.core.models.expert_params.ExpertParams",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchsim.core.models.temporal_pooler.TPF... |
37288889364 | import torch
import numpy as np
import sys
sys.path.append('..')
from utils.sample_action import sample_a_from_q, sample_a_from_pi
from model.ac import ActorCritic
from model.dqn import QnetM
from utils.settings import get_noisy_from_obs
def exec_for_coll(env, model_tag, model, epsilon, opp_policy, device):
obs ... | znnby1997/magent_workspace | interaction/exec.py | exec.py | py | 3,797 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.from_numpy",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "model.ac",
"line_num... |
11909013810 | import requests
import secrets
nyt_key = 'ce642fbdc5234cbb9a549483edf4af2f'
# gets stories from a particular section of NY times
#constructing our query
def get_stories(section):
baseurl = 'https://api.nytimes.com/svc/topstories/v2/' #from NYT documentation
extendedurl = baseurl + section + '.json'
params... | sofialo14/nyt-example2 | nyt.py | nyt.py | py | 503 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "secrets.nyt_key",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
2457766056 | from discord.ext import commands
import discord
from utils import get_config, guild_exists
import time
class Client(commands.Bot):
def __init__(self, prefix):
super().__init__(command_prefix=prefix)
self.help_command = None
async def on_ready(self):
print(f'{self.user} is connected and... | 3than0ls/Imperical | client.py | client.py | py | 1,442 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.Ga... |
18819284807 | # %%
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import Recursos
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from scipy import linalg
from sklearn import mixture
from astropy.io import fits
dirImg = "f:\\GITHUB_TRABAJOS\\proy... | midusi/spectrogram | old/Etapa_2b/plot_gmm_v3.py | plot_gmm_v3.py | py | 8,193 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
70334445344 | from itertools import groupby
from operator import itemgetter
import copy
import json
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.db import transaction
from django.utils.decorators import method_decorator
from django.views.generic import TemplateView
from res... | catalyst/powerdns-zone-editor | powerdns_zone_editor/client/views.py | views.py | py | 6,694 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "client.pdns.PowerDnsClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.POWERDNS",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 24,
"usage_type": "name"
},
{
... |
72223545503 | import json as _json
import datetime
import dateutil.parser
import decimal
import sys
__all__ = ['json', 'instead_json']
CONVERTERS = {
'datetime': {
'type': datetime.datetime,
'parser': dateutil.parser.parse,
'format': lambda x: x.isoformat(),
},
'date': {
'type': datetim... | algo2019/algorithm | AlgorithmEngine/ExternalProgramma/DataService/ds_tools.py | ds_tools.py | py | 1,714 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "dateutil.parser.parser",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "dateutil.parser",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "da... |
22804409578 | import geometry
import torchvision
import util
from pytorch_prototyping import pytorch_prototyping
import torch
from torch import nn
def init_recurrent_weights(self):
for m in self.modules():
if type(m) in [nn.GRU, nn.LSTM, nn.RNN]:
for name, param in m.named_parameters():
if... | vsitzmann/scene-representation-networks | custom_layers.py | custom_layers.py | py | 7,153 | python | en | code | 399 | github-code | 7 | [
{
"api_name": "torch.nn.GRU",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.LSTM",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.RNN",
"lin... |
10374479185 | #!/usr/bin/python3
"""Stabilizer streaming receiver and parsers"""
import argparse
import asyncio
import logging
import struct
from collections import namedtuple
from dataclasses import dataclass
import numpy as np
from . import DAC_VOLTS_PER_LSB
logger = logging.getLogger(__name__)
Trace = namedtuple("Trace", "va... | svrotter/stabilizer | py/stabilizer/stream.py | stream.py | py | 5,347 | python | en | code | null | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.frombuffer",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.int16... |
1794998422 | from django.conf.urls import url, include
from .views import HomeView, BookingListView, BookingDetailView, CreateAgreementView, OccupancyView, StatsView
urlpatterns = [
url(r'^$', HomeView.as_view(), name='home'),
url(r'^booking/$', BookingListView.as_view(), name='booking_list'),
url(r'^booking/(?P<pk>\d... | eedf/becours | booking/urls.py | urls.py | py | 585 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.HomeView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.HomeView",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.conf.u... |
30173731827 | import yt_dlp
import urllib
import json
def yt_dlp_version():
return yt_dlp.version.__version__
def query_video(page_url):
'''
query_video: queries metadata for the video in page_url using yt_dlp
Returns 'None' on error
'''
ydl_opts = {'nocheckcertificate' : True,
'quiet': True... | frostwire/frostwire | android/src/main/python/telluride.py | telluride.py | py | 771 | python | en | code | 452 | github-code | 7 | [
{
"api_name": "yt_dlp.version",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "yt_dlp.YoutubeDL",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.parse.unquote",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse... |
7499197273 | from flask import Flask, jsonify, render_template, request
import os
import training
import chatbot
app = Flask(__name__)
@app.route("/")
def home():
return render_template("index.html")
@app.route("/get")
def get_bot_response():
userText = request.args.get('msg')
ints = chatbot.predict_class(userText... | ariarub/railway-chat | main.py | main.py | py | 468 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request... |
10798649148 | import os
import maya.OpenMaya as OpenMaya
import maya.OpenMayaMPx as OpenMayaMPx
import maya.OpenMayaAnim as OpenMayaAnim
import maya.cmds as cmds
import maya.mel as mel
kPluginCmdName = 'manageSkinCluster'
# --------------------------------------------------------------------------------
# argument flags
# ------... | adbrower/maya_script | Adbrower/plug-ins/adbSkinCluster__Command.py | adbSkinCluster__Command.py | py | 17,261 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "maya.OpenMayaMPx.MPxCommand",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "maya.OpenMayaMPx",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "maya.OpenMayaMPx.MPxCommand.__init__",
"line_number": 51,
"usage_type": "call"
},
{... |
73375701344 | # -*- coding:utf-8 -*-
import sys
import numpy as np
import pandas as pd
import seaborn as sns
from hmmlearn.hmm import GaussianHMM
from matplotlib import pyplot as plt
import tushare as tu
import seaborn as sns
n = 6 # 六个隐藏状态
beginTime = '2015-1-1'
endTime = '2018-12-1'
data = tu.get_hist_data('sh', beginTime, endTi... | DanLongChen/DataAnalyze | HMM/HmmModel.py | HmmModel.py | py | 1,337 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tushare.get_hist_data",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
32627033286 | import smtplib
import os
from email.message import EmailMessage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import __init__
#
Username = os.environ['GMAIL']
Password = os.environ['GMAIL_PASSWORD']
server = smtplib.SMTP('smtp.gmail.com', 587)
server.starttls()
server.login(Use... | mhbakus/Class-Files | dict.py | dict.py | py | 2,887 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "smtplib.SMTP",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "email.message",
"lin... |
73268363423 | import sys
import os
from PIL import Image, ImageEnhance, ImageDraw, ImageFilter
import numpy as np
from shapes import Punto, Triangulo
from delaunay import triangular
USAGE = "error: Espicifique un archivo imagen para realizar triangulación de delaunay"
MIN_PUNTO_DISTANCIA = 5
GRIS_CLARO = 20
def main():
if len... | carolinardlc/delaunay-triangulation | main.py | main.py | py | 2,062 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_numb... |
4634554497 | from typing import List
from fastapi import APIRouter, Depends, status, HTTPException
from sqlalchemy.orm import Session
from app.database.models import Deliveryman as DeliverymanModel
from app.database.connection import get_db
from app.schemas.deliveryman import DeliverymanResponse
from app.schemas.deliveryman impor... | eduardomatoss/cybersecurity-fiap | app/routers/deliveryman.py | deliveryman.py | py | 1,786 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.database... |
41801127646 | #!/usr/bin/env python
import sqlite3
import os
import database as gemini_db
import gemini_utils as util
def append_variant_info(main_curr, chunk_db):
"""
Append the variant and variant_info data from a chunk_db
to the main database.
"""
cmd = "attach ? as toMerge"
main_curr.execute(cmd, (chun... | poojavade/Genomics_Docker | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/gemini-0.10.0-py2.7.egg/gemini/gemini_merge_chunks.py | gemini_merge_chunks.py | py | 5,343 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 128,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
5950123119 | from __future__ import print_function
from time import time
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.decomposition import NMF, LatentDirichletAllocation
from sklearn.datasets import fetch_20newsgroups
import pickle
import collections
import numpy as np
import pandas as p... | lmeier/moral-reasoning | lda.py | lda.py | py | 3,357 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokeniz... |
37239422960 | import base64
import io
import json
import numpy as np
import pandas as pd
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import serialization, hashes
from cryptography.hazmat.primitives.asymmetric import padding
from django.contrib.auth.models import User
from django.db i... | noatgnu/curtainbe | curtain/utils.py | utils.py | py | 2,958 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework_simplejwt.tokens.AccessToken",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_nu... |
70994369502 | import json
import os
EXCEPTIONS_KYUJITAI = {
'缺缺': '欠缺',
'共倭國': '共和國',
}
EXCEPTIONS_SHINJITAI = {
'欠欠': '欠缺',
}
class BasicConverter(object):
"""
Basic converter, only converting Shinjitai to Kyujitai, and vice versa (WITHOUT kakikae)
"""
def __init__(self):
# Determine Shinjit... | elizagamedev/anki-hanziweb | kyujipy/__init__.py | __init__.py | py | 6,460 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
74587755741 | import pghistory
import model_utils.fields
import mptt.fields
import django.utils.timezone
from django.contrib.auth.models import Group
from django.db import models
from model_utils.models import SoftDeletableModel, TimeStampedModel
from mptt.models import MPTTModel, TreeForeignKey
from attendees.whereabouts.models im... | xjlin0/attendees32 | attendees/users/models/menu.py | menu.py | py | 6,395 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "mptt.models.MPTTModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "model_utils.models.TimeStampedModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "model_utils.models.SoftDeletableModel",
"line_number": 13,
"usage_type": "name"... |
72289102304 | import pygame
import random
import math
# Initialize the game engine
pygame.init()
BLACK = [0, 0, 0]
WHITE = [255, 255, 255]
WIDTH = 500
HEIGHT = 500
# Set the height and width of the screen
SIZE = [WIDTH, HEIGHT]
screen = pygame.display.set_mode(SIZE)
pygame.display.set_caption("Ball Animation")
BLACK = ( 0, 0... | alpercanberk/pygame-projects-acanberk | 2D_Kinematics_with_Friction.py | 2D_Kinematics_with_Friction.py | py | 3,596 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
71935760223 | import argparse
import logging
import os
import shutil
import sys
import tempfile
import traceback
import yaml
from cros.factory.test.env import paths
from cros.factory.utils import file_utils
from cros.factory.utils.process_utils import Spawn
DESCRIPTION = '''
Audits source hashes logged during system finalization... | arccode/factory | py/tools/audit_source_hashes.py | audit_source_hashes.py | py | 5,798 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "os.path.isdir",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
15641176384 | #!/usr/bin/env python
import csv
import os
import re
import sys
import yaml
import copy
signs = {
r'\(f\)': "female",
r'\(m\)': "male",
r'\(v\)': "verb",
r'\(adj\.\)': "adjective",
r'\(adj\.': "adjective",
r'\(adv\.\)': "adverb",
r'\(adv\)': "adverb",
r'\(prep\.\)': "preposition",
... | kantoniko/ladino-diksionaryo-data | original/export_words_from_ladinokomunita.py | export_words_from_ladinokomunita.py | py | 8,726 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "re.sub",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 38,
"usage_type"... |
70962824862 | #!/usr/bin/python
import time
import subprocess
import concurrent.futures
import numpy as np
from decimal import *
from threading import Event
from sense_hat import SenseHat
from MotorDriver import *
from ConnectionSenseHat import *
from modules.PCA9685 import PCA9685
from multiprocessing import Value, Array, Process
... | nekonabesan/connectionScript | ver2ev3lmotor_local.py | ver2ev3lmotor_local.py | py | 7,209 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "subprocess.run",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "gpiozero.pins.pigpio.PiGPIOFactory",
"line_number": 91,
"usage_type": "call"
},
{
"api_name":... |
72850600862 | import math
import os
import tempfile
from copy import deepcopy
from unittest import TestCase
import torch
from mmcv.runner import load_checkpoint, save_checkpoint
from mmcls.models.backbones import DistilledVisionTransformer
from .utils import timm_resize_pos_embed
class TestDeiT(TestCase):
def setUp(self):
... | Ascend/ModelZoo-PyTorch | PyTorch/built-in/cv/classification/Resnet50_Cifar_for_PyTorch/tests/test_models/test_backbones/test_deit.py | test_deit.py | py | 4,955 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mmcls.models.backbones.DistilledVisionTransformer",
"line_number": 30,
"usage_type": "call"
},
{
... |
5534631092 | import re
import pathlib
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
BASE_PATH = pathlib.Path(__file__).parent
try:
version = re.findall(r"""^__version__ = "([^']+)"\r?$""",
(BASE_PATH / "aioftp" / "__init__.py").read_text(),
... | michalc/aioftp | setup.py | setup.py | py | 1,678 | python | en | code | null | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.M",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "setuptools.command.test.test",
"l... |
36572806047 | #!/usr/bin/env python3
import argparse
import concurrent.futures
import os
import time
import random
from concurrent.futures import ThreadPoolExecutor
import requests
from tqdm import tqdm
user_agents = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3... | vscofor2ch/vscofor2ch | vscoscrape.py | vscoscrape.py | py | 24,198 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "random.choice",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"lin... |
72866982622 | import torch
def qrot(q, v):
"""
Rotate vector(s) v about the rotation described by quaternion(s) q.
Expects a tensor of shape (*, 4) for q and a tensor of shape (*, 3) for v,
where * denotes any number of dimensions.
Returns a tensor of shape (*, 3).
"""
assert q.shape[-1] == 4
assert ... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/video/VideoPose3D/common/quaternion.py | quaternion.py | py | 808 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.cross",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cross",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 28,
"usage_type": "call"
}
] |
74132836384 | from typing import Optional, List, Any
from langchain.llms.base import LLM
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
class HuggingFaceLoraPipeline(LLM):
model: Any
tokenizer: Any
def _llm_type(self) -> str:
return 'rinna-ppo'
def _gen_promp... | if001/llm_docs | llm_lora.py | llm_lora.py | py | 1,916 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "langchain.llms.base.LLM",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"lin... |
24962448625 | """Class definition for kwarg from command line parser"""
__author__ = "Guido Boehm"
__filename__ = "ParseKwargs.py"
__credits__ = [""]
__license__ = ""
__version__ = "0.0.1"
__maintainer__ = "Guido Boehm"
__email__ = "olb@family-boehm.de"
__status__ = "Prototype"
__copyright__ = """
Copyright 2022, Guido Boehm
All Ri... | boehmgui/JTL-PayPalRefund | src/utils/ParseKwargs.py | ParseKwargs.py | py | 1,182 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.Action",
"line_number": 28,
"usage_type": "attribute"
}
] |
33332141472 | """
Retrieve images from the web
"""
import shutil
import requests
from tools.system_tools import img_dir
from PIL import Image, ImageTk, ImageGrab
#####################################
# #
# Saved URLs for updating plots #
# #
################... | rmclare445/WxFrame | wxframe/get_img.py | get_img.py | py | 5,452 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tools.system_tools.img_dir",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "tools.system_tools.img_dir",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "tools.system_tools.img_dir",
"line_number": 52,
"usage_type": "name"
},
{
"... |
13035860276 | #!/usr/bin/python
import os
import requests
import json
import subprocess
from time import sleep
def getextensions(cookie, number):
headers = {'Cookie': cookie}
URL = 'https://chrome.google.com/webstore/ajax/item?hl=en-US&gl=US&pv=20170206&mce=atf%2Ceed%2Cpii%2Crtr%2Crlb%2Cgtc%2Chcn%2Csvp%2Cwtd%2Cctm%2Cac%2Ch... | PossibleSloth/extensions | extensions.py | extensions.py | py | 1,942 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
4284953880 | '''
Created on Jan 14, 2017
@author: User
'''
import string
import itertools
import operator
#word = input("Enter text: ")
def most_common(word):
keyVal = {}
if len(word) > 3 and len(word) < 10000:
for i in word:
keyVal[i] = word.count(i)
sortedKeyVal = sorted(keyVal.items(), key = ... | timolinn/algorithms | 100_days_of_coding_slack_andela/mostCommon.py | mostCommon.py | py | 1,546 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.islice",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 60,
"usage_type": "call"
}
] |
26485147334 | from bs4 import BeautifulSoup as Soup, Tag
import requests
response = requests.get("https://guide.wisc.edu/courses/#text")
soup = Soup(response.content, "html.parser")
index = soup.find("div", {"id": "atozindex"})
f = open("../data/subjectpaths.csv", "w")
for item in index.find_all('li'):
if isinstance(item, Ta... | dyerai/madatlas-scraper | src/utils/getSubjectPaths.py | getSubjectPaths.py | py | 401 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.Tag",
"line_number": 12,
"usage_type": "argument"
}
] |
21247671606 | import sys
from PyQt5.QtWidgets import QApplication
from PyQt5.QtCore import QTimer, QCoreApplication
from splash import SplashScreen
from wordle import MainWindow
# base_path = os.path.abspath(os.path.dirname(__file__))
try:
from ctypes import windll
myappid = "soundwave.wordle.1.0"
windll.shell32.SetCurrentP... | Nishant-Karlupia/wordle | main.py | main.py | py | 1,289 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "ctypes.windll.shell32.SetCurrentProcessExplicitAppUserModelID",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ctypes.windll.shell32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "ctypes.windll",
"line_number": 13,
"usage_type":... |
8977602534 | import logging
import os
import pickle
import collections
from src.storage.AbstractStorage import AbstractStorage
class BinaryFileStorage(AbstractStorage):
def __init__(self, base_dir):
self.base_dir = base_dir
def store(self, source, texts):
if not os.path.exists(self.base_dir):
... | demidovakatya/markov-chains | src/storage/BinaryFileStorage.py | BinaryFileStorage.py | py | 1,164 | python | en | code | 18 | github-code | 7 | [
{
"api_name": "src.storage.AbstractStorage.AbstractStorage",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name":... |
39171816887 | #importando aa bibliotecas e funções
import sqlalchemy
from sqlalchemy.orm import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy.orm import Session
from sqlalchemy import create_engine
from sqlalchemy import inspect
from sqlalchemy import select
from sqlalchemy import func
from sqlalchemy impo... | guilhermemroth/Python-Database-Integration | integrationWithSQL/SQLAlchemyApplication.py | SQLAlchemyApplication.py | py | 3,558 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlalchemy.orm.declarative_base",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name... |
36863742998 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 27 13:47:15 2022
@author: tomasnotenson
"""
from scipy.fft import fft, ifft, fftfreq, fft2, ifft2
import numpy as np
from numba import jit
import matplotlib.pyplot as plt
from qutip import *
from time import time
from tqdm import tqdm # customisabl... | tnotenson/quantum-chaos | rutinas_Nacho.py | rutinas_Nacho.py | py | 16,006 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "seaborn.set_theme",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 18,
"usage_type": "attribute"
},
{
... |
39032633598 | from fastapi import APIRouter, status, HTTPException
from pydantic import BaseModel
#Objects
class Subject(BaseModel):
idsubject: int
name: str
numberStudents: int
subjects_list= [
Subject(idsubject=1, name="Math", numberStudents=23),
Subject(idsubject=2, name="English", numberStudents=34),
Su... | AbdielPerezB/Routers | allRouters/router10.py | router10.py | py | 949 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fastapi.status.HTTP_200_OK",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "f... |
41817216542 | from SSD import SSD
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('classic')
def get_delta(point1, point2, main_image, second_image):
fig1, plts1 = plt.subplots()
plts1.set_title('gra ssd')
delta = 0
x_offset = 0
r_ssd = []
g_ssd = []
b_ssd = []
min_ssd = SSD(main_im... | Kostanios/determination-of-distance-from-stereo-image | getDelta.py | getDelta.py | py | 1,665 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name"... |
31492759878 | #Test V
import pygame
from pygame.sprite import Sprite
class Target(Sprite):
""" The Targets! """
def __init__(self, screen, game_settings):
super(Target, self).__init__()
self.screen = screen
self.game_settings = game_settings
#Target Image
self... | Kudorosa/kudorosa.github.io | python_projects/Alien Invasion + Others/Others/Target Practice/targets.py | targets.py | py | 1,360 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygame.image.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 13,
"usage_type": "attribute"
}
] |
33331697770 | """Replica of icanhazepoch.com - HTTP Style"""
from time import time
from wsgiref.simple_server import BaseHTTPRequestHandler, HTTPServer
# Dirty import, but works both on Python 2 and Python 3
class EpochHandler(BaseHTTPRequestHandler):
def do_GET(self):
self.send_response(200)
self.send_header(... | aseeon/py-http-serving-examples | epoch_http.py | epoch_http.py | py | 550 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "wsgiref.simple_server.BaseHTTPRequestHandler",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "wsgiref.simple_server.HTTPServer",
"line_number": 16,
"usage_type": "call"
}
] |
16452248957 | import pathlib,datetime,re,subprocess,os
import tkinter as tk
from tkinter import simpledialog
programfiles = pathlib.Path(os.getenv("ProgramFiles"))
_VIM_PATH = programfiles / "vim" / "vim90" / "gvim.exe"
badchars= re.compile(r'[^A-Za-z0-9_. ]+|^\.|\.$|^ | $|^$')
badnames= re.compile(r'(aux|com[1-9]|con|lpt[1-9]|pr... | dustractor/dustractor.github.io | newpost.py | newpost.py | py | 779 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 10,
... |
19904005937 | from __future__ import division
import copy
import logging
from openfisca_core.baremes import BaremeDict, scaleBaremes
from openfisca_core.enumerations import Enum
from openfisca_core.legislations import CompactNode
CAT = Enum(['prive_non_cadre',
'prive_cadre',
'public_titulaire_etat',
... | stanislasrybak/openfisca-france | openfisca_france/model/cotisations_sociales/preprocessing.py | preprocessing.py | py | 5,816 | python | en | code | null | github-code | 7 | [
{
"api_name": "openfisca_core.enumerations.Enum",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "openfisca_core.baremes.scaleBaremes",
"line_number": 39,
"usage_type": "call"
},
{... |
3041054892 | from datetime import datetime, time, timedelta
from typing import Tuple
from wakeapp.utils.regex_utils import check_string
class TimeController:
def __init__(self, arrival:datetime=None, depature:datetime=None) -> None:
if arrival is None:
self.arrival = datetime.now()
if depature is ... | Lockee/WakeApp | wakeapp/controller/time_controller.py | time_controller.py | py | 1,409 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.dat... |
17441300178 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django_pgjson.fields
class Migration(migrations.Migration):
dependencies = [
('audit_logs', '0002_auditlog_user'),
]
operations = [
migrations.AlterField(
model_na... | wanghp18/seed_timeseries | seed/audit_logs/migrations/0003_auto_20151105_1539.py | 0003_auto_20151105_1539.py | py | 525 | python | en | code | 1 | github-code | 7 | [
{
"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.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
25017354215 | '''dbclient'''
import json
import base64
import time
import urllib3
import requests
from core.logging_utils import LoggingUtils
from core import parser as pars
import msal
urllib3.disable_warnings(category = urllib3.exceptions.InsecureRequestWarning)
LOGGR=None
if LOGGR is None:
LOGGR = LoggingUtils.get_logger()... | databricks-industry-solutions/security-analysis-tool | src/securityanalysistoolproject/core/dbclient.py | dbclient.py | py | 18,524 | python | en | code | 29 | github-code | 7 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "core.logging_utils.LoggingUtils.get_logger",
"line_number": 16,
"usage_type": "call"
}... |
13485741164 | import acc
import csv
import dateutil.parser
## Parsing
InvalidInputError = acc.UserDataError
ACCOUNTS = (
"cash",
"elevations-checking",
"elevations-savings",
"roth-ira",
"vanguard-brokerage",
"inherited-ira",
"claremont-cash",
"us-treasury-bonds",
)
HEADER_ROWS = 3
FOOTER_ROWS = 1... | raxod502/acc | acc/importers/radon_csv.py | radon_csv.py | py | 5,211 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "acc.UserDataError",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dateutil.parser.parser.parse",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parser",
"line_number": 49,
"usage_type": "attribute"
},
{
"ap... |
46108541403 | from flask import Flask,request,render_template
import os
app = Flask(__name__)
@app.route('/',methods=['POST','GET'])
def home():
# 遍历文件夹，获取所有的文件名，返回一个列表
bookList = os.listdir('static/book/')
data = ''
if request.method == 'POST':
# 提取传递进服务器的文件名
book = request.form['book']... | kidabner/bookshelf | main.py | main.py | py | 767 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"l... |
9389449459 | import speech_recognition as sr
import os
import time
import subprocess
#vocie command
def listen_micro():
#micro on
microfone = sr.Recognizer()
#micron using
with sr.Microphone() as source:
#reduce ambient noise
microfone.adjust_for_ambient_noise(source)
print("Diga alguma coi... | JFJoao/voice_commander | voicer.py | voicer.py | py | 1,173 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
24731210845 | import argparse
from typing import Optional
import numpy as np
import pandas as pd
import tensorflow as tf
import gpx_stats
import utils
from config import data_preparation_config
from prepare_data import extract_segment_data
parser = argparse.ArgumentParser(
description="Estimate walking time for GPX track of h... | ae137/HikingTimePredictor | inference.py | inference.py | py | 4,068 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "prepare_data.extract_segment_data",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": ... |
71793758945 | import datetime
import simplejson as json
from cornice import Service
default_cors_policy = {'origins': ('*', )}
class RService(Service):
def __init__(self, name, path, description=None, cors_policy=default_cors_policy, renderer='jsonwithdate', **kw):
# To work properly with venusian, we have to specify ... | openrosetta/openrosetta | openrosetta/config.py | config.py | py | 1,907 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "cornice.Service",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "simplejson.dumps",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 46,
"usage_type": "attribute"
}
] |
20207335630 | import argparse
import random
import sys
import traceback
import trimesh
import torch
import open3d as o3d
import numpy as np
from evaluate_3d_reconstruction import run_evaluation
sys.path.append('.')
def normalize(x):
return x / np.linalg.norm(x)
def get_align_transformation(rec_meshfile, gt_meshfile):
"""... | eriksandstroem/Point-SLAM | src/tools/eval_recon.py | eval_recon.py | py | 7,428 | python | en | code | 221 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"l... |
15964734964 | import psycopg2
from config import config
from catalog import catalog
from loader import Loader
def insert_table(tablename=None):
"""
insert multiple rows of the csv into the table
:return:
"""
conn = None
with open(catalog[f"to_ingest/{tablename}"], 'r') as t:
try:
# deter... | mbsuraj/postgresql_ingestion_script | src/insert_tables.py | insert_tables.py | py | 1,480 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "catalog.catalog",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "config.config",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "loader.Loader",
"l... |
31394744344 | from typing import Dict, List
from pyquery import PyQuery
class Ascii2DItem:
def __init__(self, data: PyQuery):
self.origin: PyQuery = data # 原始数据
info = self._get_info(data("div.detail-box.gray-link"))
# 原图长宽，类型，大小
self.detail: str = data("small").eq(0).text()
self.thumb... | samttoo22-MewCat/Neko-discord-bot | PicImageSearch/model/ascii2d.py | ascii2d.py | py | 1,781 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyquery.PyQuery",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pyquery.PyQuery",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyquery.PyQuery",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line... |
70059950945 | import pymysql
import datetime
import socket
from Base import BaseClass
class DB(BaseClass):
def __init__(self, **kwargs):
self.conn = 0
self.cursor = 0
self.last_time = 0
self.update_server = socket.gethostname()
return super().__init__(**kwargs)
def close... | zylerk/ApexFund | ABL_F00429/ABL_F00429/Database.py | Database.py | py | 7,403 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Base.BaseClass",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "socket.gethostname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.ut... |
72477118303 | import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.utils import shuffle
from sklearn.preprocessing import MinMaxScaler
def read_data_n_preproc(dataframe=None, data_csv_path=None, test_split=0.1, validation_split=0.3, validation_split_seed=42, verbose=False):
... | AsuosOnurb/physical-activity-recognition | model/deepl_data_preproc.py | deepl_data_preproc.py | py | 7,343 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sklearn.preproces... |
14540691860 | import sys
try:
from osgeo import gdal
from osgeo.gdalconst import *
gdal.TermProgress = gdal.TermProgress_nocb
from osgeo import ogr
from osgeo import osr
except ImportError:
import gdal
import ogr
from gdalconst import *
import osr
try:
import numpy
except ImportError:
imp... | FloodRiskGroup/floodrisk | calcolodanno/CalcoloDannoInondazione.py | CalcoloDannoInondazione.py | py | 16,599 | python | en | code | 22 | github-code | 7 | [
{
"api_name": "osgeo.gdal.TermProgress",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "osgeo.gdal",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "osgeo.gdal.TermProgress_nocb",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name":... |
1449212366 | import pathlib
import sys
import warnings
current_dir = pathlib.Path(__file__).resolve().parent
sys.path.append(str(current_dir) + "/../")
warnings.filterwarnings("ignore")
import json
import random
from pathlib import Path
import cv2
import imagehash
import numpy as np
import pandas as pd
from imagehash import phas... | a5chin/AMED | amed/dataset/reshaper.py | reshaper.py | py | 6,832 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
... |
28770608991 | """Helper for discovering audio files."""
# Standard library:
import logging
import os
from typing import Any, Dict, List, Sequence, Union
# Third party:
import attr
# module-level logger, named differently so there's no confusion between which
# logger is being used.
module_log = logging.getLogger(__name__)
def _... | blthayer/disquip-bot | disquip/discover.py | discover.py | py | 6,006 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
... |
24649607095 | from enum import Enum
class Page(Enum):
pg1 = "profile with eligibilty strip incomplete - type1"
pg2 = "profile with eligibilty strip incomplete - type2"
pg3 = "profile with eligibilty strip complete"
pg4 = "settings"
class ResponseStruct(Enum):
id = "ph"
type = "type"
val = "v... | anviti00/Backend | userprofile/constant.py | constant.py | py | 2,651 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 37,
"... |
12902199555 | from flask import Flask, render_template, request, url_for, make_response
import operator as op
app2 = Flask(__name__)
application = app2
operations = ['+', '-', '*', '/']
operations_function = { '+' : op.add, '-' : op.sub, '*' : op.mul, '/' : op.truediv }
@app2.route('/')
def index():
return render_template('i... | lSenichl/mospolytech-education-web-dev-2020-2 | Lab_02/app2/app2.py | app2.py | py | 4,677 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "operator.add",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "operator.sub",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "operator.mul",
"line... |
74265297822 | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 2 13:43:24 2023
@author: tomkeen
"""
import streamlit as st
import os
import azure.cognitiveservices.speech as speechsdk
from azure.cognitiveservices.speech.audio import AudioOutputConfig
import base64
import openai
from streamlit_webrtc import WebRtcMode, ... | tomzhu0225/oral_practice_web_dev | test1.py | test1.py | py | 11,637 | python | en | code | 111 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "streamlit.secrets"... |
31577349558 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('darkgrid')
x = np.linspace(0,10, 100)
plt.xlabel('x')
y= x + np.random.randn(100)
plt.ylabel('y')
plt.scatter(x,y)
M = np.array([x, np.ones(x.shape)]); print(M, M.shape)
plt.hist(x)
| AliAlkadhim/RandomCourses | Scientific_Computing_1_Spicklemire/.virtual_documents/PowerLaws_LinearLeastSquares.ipynb.py | PowerLaws_LinearLeastSquares.ipynb.py | py | 280 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "seaborn.set_style",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
71353339104 | import os
from flask_login import LoginManager, current_user
from flask import Flask, render_template, session, request, redirect
# from flask_sqlalchemy import SQLAlchemy
from flask_mongoengine import MongoEngine
from flask_script import Manager
import models
app = Flask(__name__)
app.secret_key = 'flasky'
app.config... | MUMT-IT/mis2017 | webapp/app/main.py | main.py | py | 1,707 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_script.Manager",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask_mongoengine.MongoEngine",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask_l... |
36937064264 | from __future__ import division, print_function, absolute_import
import tflearn
from tflearn.layers.core import dropout,activation,input_data,utils,fully_connected
from tflearn.layers.estimator import regression
import json
import numpy as np
def predict(data):
input_layer = tflearn.input_data(shape=[None, 20])
de... | uddish/HINT | backend/src/job_hell/utlis/nn.py | nn.py | py | 1,074 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "tflearn.input_data",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tflearn.fully_connected",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tflearn.dropout",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tflearn.fu... |
39453497396 | from customer_api.models import Customer
from customer_api.serializers import CustomerSerializer, CustomerListSerializer
from rest_framework import generics
from rest_framework.response import Response
from rest_framework import status
from django.http import Http404
class CustomerList(generics.ListAPIView):
quer... | dadasoz/plot-booking | wsgi/plots/customer_api/views.py | views.py | py | 2,231 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "customer_api.models.Customer.objects.all",
"line_number": 10,
"usage_type"... |
34502767595 | from django.conf.urls import url, include
from django.contrib import admin
from foodtaskerapp import views, apis
from django.contrib.auth import views as auth_views
from django.conf.urls.static import static
from django.conf import settings
urlpatterns = [
# Restaurant Methods
url(r'^admin/', admin.site.urls... | happylukas/django_restaurant_app | foodtasker/urls.py | urls.py | py | 5,566 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name... |
8892254069 | import numpy as np
import imutils
import cv2
image = cv2.imread('Test_Images/V2/img1.jpeg')
ret,thresh1 = cv2.threshold(image,thr,255,cv2.THRESH_BINARY)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.bilateralFilter(gray, 11, 17, 17)
gray = thresh1
cv2.imshow("gray", gray)
# Setup SimpleBlobDetector para... | ta275/RadEye-Pi | Vision/blob.py | blob.py | py | 1,286 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line... |
75107117023 | #!/usr/bin/env python3
import asyncio, websockets
import ssl, pathlib
import json
import time
from smbus2 import SMBus, SMBusWrapper
bus_no = 0
iic = SMBus(bus_no)
address = 0x04
board_voltage = 5000
# Example list of sources for testing purposes
sources = \
{
"rBMC Demo Machine": {
"hostnam... | beanfacts/rbmc | controller/main_python35.py | main_python35.py | py | 6,376 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "smbus2.SMBus",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncio.coroutine",
"line_number": 96,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "json.decoder",
"l... |
26062693599 | import numpy as np
from PIL import Image
import cv2
import math
img = Image.open("Mandrill.png")
arr = np.array(img)
def conv(X, H):
# make sure both X and H are 2-D
assert( X.ndim == 2)
assert( H.ndim == 2)
# get the horizontal and vertical size of X and H
imageColumns = X.shape[1]
imageRow... | rashmi05pathak/ImageSignalProcessing | PA(4)_EE20S051/Assignment4.py | Assignment4.py | py | 2,272 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 26... |
30364737962 | import numpy as np
from sillyQuotes import getMsg
import matplotlib.pyplot as plt
def checkEx01(y):
corr = False
try:
t = np.linspace(0, 2*np.pi,100)
x = np.sin(t)
err = np.average((y-x)**2)
corr = err<1e-6
getMsg(corr)
except:
getMsg(corr)
return corr
... | hrtlacek/Elak_Exercises | checkLib.py | checkLib.py | py | 1,683 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.linspace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number"... |
71726314145 | import prefpy_io
import math
import os
import itertools
# from .preference import Preference
from numpy import *
from profile import Profile
from mechanism import *
import glob
import mov
# from mov import *
from preference import Preference
import matplotlib.pyplot as plt
from sklearn.neural_network import *
from skle... | farhadmohsin/AxiomVerification | smoothed_complexity_codes/codes/exp3.py | exp3.py | py | 5,003 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.LinearSVC",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "sklearn.svm",
... |
29369879071 | """empty message
Revision ID: a52190d958cf
Revises: d7cd8fa96963
Create Date: 2019-08-21 09:41:36.268797
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a52190d958cf'
down_revision = 'd7cd8fa96963'
branch_labels = None
depends_on = None
def upgrade():
# ... | tiilt-lab/chemistry-dashboard | server/migrations/versions/a52190d958cf_.py | a52190d958cf_.py | py | 1,102 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Strin... |
15750532810 | import argparse
import logging
import os
from time import time
from osgeo import gdal, ogr
class Extractor(object):
def __init__(self, statement, raster, output, basename=None, format='GTiff', nodata=None, datatype=gdal.GDT_Float32,
bands=1, server="localhost", dbname="eba", user="eba", password... | ebaccst/pyLiDARForest | stuff/extract_raster.py | extract_raster.py | py | 4,905 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "osgeo.gdal.GDT_Float32",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "osgeo.gdal",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.isfile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
14625327333 | """empty message
Revision ID: c3880377ac48
Revises: 8dc5999a5c74
Create Date: 2020-02-04 15:44:28.982771
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c3880377ac48'
down_revision = '8dc5999a5c74'
branch_labels = None
depends_on = None
def upgrade():
# ... | nkatwesigye/Music-Venue-Booking-Site-Furry | starter_code/migrations/versions/c3880377ac48_.py | c3880377ac48_.py | py | 777 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
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