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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16447503794 |
import argparse
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import math
import logging
import random
from tqdm import tqdm
from str2bool import str2bool
import itertools
from datetime import datetime
from transformers import BertTokenizer
from transformers import Ber... | TingchenFu/EMNLP23-LogicRetrieval | reimpl.py | reimpl.py | py | 12,017 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "argparse.Argu... |
41971926564 | from src.entities.components.component import Component
import tcod
class Vision(Component):
# stores an entity's field of view maps and level memory.
# accessed to check if cells are in field-of-view.
def __init__(self, owner, radius):
Component.__init__(self, owner)
self.radius = radius... | VoxSomniator/andromeda-starbase | src/entities/components/vision.py | vision.py | py | 791 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "src.entities.components.component.Component",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "src.entities.components.component.Component.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "src.entities.components.component.Component",
... |
3506449106 | import configparser
import contextlib
import ctypes
import json
import sys
import time
from threading import Thread
import keyboard
import pymem
import mdt_cv
config_file = "config.ini"
cid_temp = 0
cid_temp_duel = 0
cid_temp_deck = 0
cid_temp_oppo = 0
cid_show_gui = 0
pause = False
process_exit = False
baseAddress ... | SkywalkerJi/mdt | mdt.py | mdt.py | py | 5,676 | python | en | code | 707 | github-code | 7 | [
{
"api_name": "mdt_cv.get_scan",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "pymem.Pymem",
"line_number": 134,
"usage_type": "call"
},
{
"api_name": "pymem.process.module_from_n... |
25113112927 | import cx_Freeze
executables = [cx_Freeze.Executable("WordStats.py")]
cx_Freeze.setup(
name="WordStats",
options={"build_exe": {"packages": ['pymsgbox', 'matplotlib', 'numpy']}},
version='1.1',
description='A simple text analyzer.',
author='Sean Xie',
executables=executables
)
| amitdhandha1996/WordStats | src/setup.py | setup.py | py | 316 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cx_Freeze.Executable",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.setup",
"line_number": 5,
"usage_type": "call"
}
] |
12354502109 | import re
import sys
from PyQt5.QtWidgets import QApplication,QMainWindow
import untitled
import requests
def ceshi():
a = ui.lineEdit.text()
url = 'http://192.168.7.30:8008/ad'
res = requests.get(url)
ad_name = res.json()
try:
adname = ad_name[f'{a}']
if a == '':
ui.tex... | Aefun-ayi/ayi-demo | demo/demo6/demo.py | demo.py | py | 769 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidge... |
36439949633 | import datetime
class NewFileTest:
def __init__(self, filename, first_line, napr):
self.filename = filename
self.first_line = first_line
self.napr = napr
self.ko = None
def setKo(self):
if self.ko == 0:
print(f"Файл {self.filename} успешно соз... | softly2000/test_py | seven/class_tr/library/new_file_test.py | new_file_test.py | py | 964 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
}
] |
72838212702 | import gym
from gym import spaces
from Robots.IdealFluidSwimmer_v1 import IdealFluidSwimmer
import numpy as np
from math import pi
from utils.learning_helper import forward_reward_function
class IdealFluidSwimmerEnv(gym.Env):
def __init__(self):
super(IdealFluidSwimmerEnv, self).__init__()
self.sn... | junyaoshi/DeepRobots | envs/IdealFluidSwimmerEnv.py | IdealFluidSwimmerEnv.py | py | 985 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "gym.Env",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "Robots.IdealFluidSwimmer_v1.IdealFluidSwimmer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gym.spaces.Box",
"line_number": 13,
"usage_type": "call"
},
{
"api_name... |
30165387443 | import gym
import numpy as np
import time
import csv
from stable_baselines3 import PPO
import ctr_reach_envs
from ctr_reach_envs.src.utils import run_episode
#from ctr_reach_envs.envs.ctr_wrappers import ROSWrapper
def drl_ik_solver(env, model, episode, desired_goal=None, initial_joints=None, output_path=None):
# ... | keshaviyengar/gym-ctr-ral | ctr_reach_envs/src/evaluations.py | evaluations.py | py | 1,387 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ctr_reach_envs.src.utils.run_episode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "stable_baselines3.PPO.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_na... |
41172665639 | """
Things to Remember
Using generators can be clearer than the alternative of returning lists of accumulated results.
The iterator returned by a generator produces the set of values passed to yield expressions within the generator function¡¯s body.
Generators can produce a sequence of outputs for arbitrarily large... | acybercoder/Python | Effective Python 2015/2. Functions/Item 16 - Consider Generators Instead of Returning Lists/Example.py | Example.py | py | 1,374 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.islice",
"line_number": 48,
"usage_type": "call"
}
] |
71570630623 | import uuid
from unittest.mock import ANY
from flask import current_app, json
from freezegun import freeze_time
import pytest
import requests_mock
from app.config import QueueNames
from app.celery.research_mode_tasks import (
send_sms_response,
send_email_response,
telstra_callback,
twilio_callback,
... | govau/notify | api/tests/app/celery/test_research_mode_tasks.py | test_research_mode_tasks.py | py | 6,197 | python | en | code | 17 | github-code | 7 | [
{
"api_name": "app.celery.research_mode_tasks.send_sms_response",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flask.json.loads",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.json",
"line_number": 32,
"usage_type": "name"
},
{
"api_... |
36977699468 | from torch import nn
import torch
from HardCoreNAS.timm import create_model, create_optimizer
import torch.nn.functional as F
import argparse
from helper.pytorch.optimizers import SFW
from helper.pytorch.constraints import *
import model.pytorch.resnet as resnet
import model.pytorch.googlenet as googlenet
def create_... | samyak19098/Federated_Learning | PyFL-main/PyFL-main/model/pytorch/pytorch_models.py | pytorch_models.py | py | 14,656 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "model.pytorch.resnet",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "model.pytorch.resnet",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "model.pytorch.resnet",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "model.... |
3836800026 | from typing import Tuple, List
from PIL import Image # requires pillow
from IPython.display import display
import numpy as np # requires numpy
import cogpyt
def show_image_from_destination(data: np.ndarray, width, height):
display(get_image_from_destination(data, width, height))
def get_image_from_destination... | BoyanH/cogpyt | examples/_convolution_functions.py | _convolution_functions.py | py | 3,503 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.ndarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "IPython.display.display",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.arr... |
10790000652 | import torch
import torch.nn as nn
class KurtosisWeight:
def __init__(self, weight_tensor, name, kurtosis_target=2.0, k_mode='avg', KLD=False):
self.kurtosis_loss = 0
self.kurtosis = 0
self.weight_tensor = weight_tensor
self.name = name
self.k_mode = k_mode
self.kur... | BlueAnon/BD-BNN | kurtosis.py | kurtosis.py | py | 2,354 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "torch.nn.KLDivLoss",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.mean",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.std",
"line_number":... |
29105140081 | import time
import numpy as np
from scipy import ndimage
from niclib.medpy_hausdorff import hd as haussdorf_dist
def compute_confusion_matrix(y_true, y_pred):
"""
Returns tuple tp, tn, fp, fn
"""
assert y_true.size == y_pred.size
true_pos = np.sum(np.logical_and(y_true, y_pred))
true_neg = n... | albertclerigues/stroke-core-ct-segmentation | storage/lib/niclib/metrics.py | metrics.py | py | 3,754 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "numpy.sum",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_n... |
71935447583 | from typing import List, NamedTuple
import yaml
from cros.factory.hwid.service.appengine import git_util
from cros.factory.hwid.v3 import filesystem_adapter
from cros.factory.utils import type_utils
class HWIDDBMetadata(NamedTuple):
"""A placeholder for metadata of a HWID DB."""
name: str
board_name: str
ve... | arccode/factory | py/hwid/service/appengine/hwid_repo.py | hwid_repo.py | py | 7,611 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "typing.NamedTuple",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cros.factory.hwid.v3.filesystem_adapter.FileSystemAdapterException",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "cros.factory.hwid.v3.filesystem_adapter",
"line_num... |
74980482142 | #!/usr/bin/python3.4
#MKerbachi November 6th, 2015
#Python code to control two motors with Rpi A+ with the H bridge l298n
import RPi.GPIO as GPIO # always needed with RPi.GPIO
import time
import curses
# get the curses screen window
screen = curses.initscr()
# turn off input echoing
curses.noecho()
# respond t... | dxh8808/rpi-l298n | pi-l298n.py | pi-l298n.py | py | 5,702 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "curses.initscr",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "curses.noecho",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "curses.cbreak",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setmode",
"li... |
34879050329 | from django.urls import path
from . import views
from django_app import settings
urlpatterns = [
path('', views.index, name = 'index'),
path('signup', views.signup, name = 'signup'),
path('signin', views.signin, name = 'signin'),
path('mypage/<int:pk>', views.mypage, name = 'mypage'),
path('create... | Yuto-Kurano/english | urls.py | urls.py | py | 900 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
24018258571 | import json
import numpy as np
import numpy.testing as npt
import pytest
from mudata import MuData
from scirpy.pp import ir_dist
from scirpy.tl._ir_query import (
_reduce_json,
_reduce_most_frequent,
_reduce_unique_only,
ir_query,
ir_query_annotate,
ir_query_annotate_df,
)
@pytest.mark.param... | scverse/scirpy | src/scirpy/tests/test_ir_query.py | test_ir_query.py | py | 6,530 | python | en | code | 181 | github-code | 7 | [
{
"api_name": "scirpy.pp.ir_dist",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scirpy.tl._ir_query.ir_query",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "mudata.MuData",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "pyte... |
35121750193 | import numpy as np
import matplotlib.pyplot as plt
from sympy import Symbol, core
from typing import Tuple
from sympy.solvers import solve
def bifurcation_diagram(funtion_solution, min_alpha, max_alpha, alpha_gap):
"""
Plots the bifurcation diagram with a given function.
Args:
funtion_sol... | markustyj/ML-CrowdSimulation | EX4/task2/bifurcation_diagram.py | bifurcation_diagram.py | py | 1,747 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sympy.Symbol",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sympy.solvers.solve",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sympy.core.numbers",
... |
22699405520 | import qrcode
# Create a QR code instance
qr = qrcode.QRCode(version=1, box_size=10, border=5)
# Add data to the QR code
data = "Hello, World!"
nom = "hasnaoui"
prenom = "yahya"
age = "23"
qr.add_data(data)
qr.add_data(nom)
qr.add_data(prenom)
qr.add_data(age)
qr.make(fit=True)
# Create an image from the QR code
img... | yedder6/createQrCode | qrcodee.py | qrcodee.py | py | 418 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "qrcode.QRCode",
"line_number": 4,
"usage_type": "call"
}
] |
9344994578 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""The main implementation for calling pysorter from the commandline"""
from __future__ import print_function
import argparse
import logging
import os
import sys
from .oranize import Organizer
from .rules import RulesFileClassifier
log = logging.getLogger(__name__)
_last_... | chriscz/pysorter | pysorter/commandline.py | commandline.py | py | 3,913 | python | en | code | 42 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"li... |
30486409301 | # -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
X = pd.read_csv('two_years_merged_and_reduced.csv', index_col='time', parse_dates=['time'])
def wind_angle(row):
x = row['Wind_U']
y = row['Win... | tvaisanen/data-mining-project-2021 | 01_06_weighted_power_production_and_turbine_details.py | 01_06_weighted_power_production_and_turbine_details.py | py | 1,119 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and.reduce",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pandas... |
10739582032 | import sys
from PyQt5.QtGui import QTextCharFormat, QTextDocument, QTextCursor
from PyQt5.QtWidgets import (QApplication, QMainWindow, QTextEdit,
QToolBar, QLineEdit, QPushButton, QColorDialog, QHBoxLayout, QWidget)
class TextEdit(QMainWindow):
def __init__(self, parent=None):
... | won2930015/PyQt2 | QTextEdit/HighlightText.py | HighlightText.py | py | 1,970 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QTextEdit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 13,
"usage_type": "call"
},
{
"api_... |
24218835727 | import idaapi
import idascript
import idautils
import idc
import math
import itertools
import json
import csv
import datetime
import cProfile
def createitems(basicblock):
xrefs = lambda ea: len([x for x in XrefsFrom(ea,0)])
drefs = lambda ea: len([x for x in DataRefsFrom(ea)])
consts = lambda e... | arnew/kuestennebel | extract_json.py | extract_json.py | py | 4,417 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "idaapi.UA_MAXOP",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "idaapi.FlowChart",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "idaapi.get_func",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "idaapi.get_func... |
23545249117 | # -*- coding: utf-8 -*-
from django.conf import settings
from django.contrib.auth.models import Group
from django.core.management.base import BaseCommand, CommandError
from django.db import connection # Used for django tenants.
from django.utils.translation import ugettext_lazy as _
from rest_framework.authtoken.models... | over55/workery-django | workery/tenant_foundation/management/commands/create_tenant_account.py | create_tenant_account.py | py | 7,393 | python | en | code | 10 | github-code | 7 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.db.connection.set_schema_to_public",
"line_number": 75,... |
31989150957 | import numpy as np
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
class WineDataset(Dataset):
def __init__(self, data:np.ndarray):
self.data = data
def __len__(self):
return self.data.shape[0]
def __getitem__(self, index):
x = self.... | lhycms/Deep_Learning_Notes | 1.Basic/code/1.demo1/wineDataset.py | wineDataset.py | py | 1,275 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadtxt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.utils.d... |
71385735904 | import contextlib
import io
import os
import subprocess
import sys
import six
from six.moves import xrange, input
try:
import simplejson as json
except ImportError:
import json
stdout = io.FileIO(sys.stdout.fileno(), "wb")
stderr = io.FileIO(sys.stderr.fileno(), "wb")
def run_proc(cmd, **kwargs):
p = ... | eldarion/gondor-client | gondor/utils.py | utils.py | py | 3,982 | python | en | code | 38 | github-code | 7 | [
{
"api_name": "io.FileIO",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdout.fileno",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "io.FileIO",
"line_num... |
38525590113 | import streamlit as st
import pandas as pd
name_1 = st.text_input("Name 1:- ")
date_1 = st.text_input("Date of birth 1:- ")
name_2 = st.text_input("Name 2:- ")
date_2 = st.text_input("Date of birth 2:- ")
compat_dict = {"A" : {1 : [4, 5, 7], 2 : [4, 6, 22], 3 : [3, 6, 8, 9], 4 : [1, 2, 7, 8], 5 : [1], 6 : [2, 3, ... | PrabhupadaPradhan/numerology_2 | numerology_4.py | numerology_4.py | py | 2,748 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "streamlit.text_input",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit... |
11118508827 | # -*- coding: utf-8 -*-
"""Application filter for `datetime`_ 24 hours.
.. _datetime: https://docs.python.org/2/library/datetime.html
"""
from datetime import date, timedelta
from django import template
register = template.Library()
@register.filter(name='format_time')
def format_time(value):
if value is None:... | rubenvanerk/lifesavingrankings | rankings/templatetags/datetime_filter.py | datetime_filter.py | py | 817 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.template.Library",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
40661251057 | import numpy as np
import matplotlib.pyplot as plt
def loadDataSet(fileName):
data=[]
with open(fileName,'r+') as f:
content=f.readlines()
for line in content:
line_arr=line.strip().split('\t')
data.append(list([float(line_arr[4]),float(line_arr[3])]))
return data
#... | whyang78/machineLearning-base | K-means/地理坐标聚类.py | 地理坐标聚类.py | py | 4,385 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "numpy.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 21,
... |
25864066626 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.patches as patches
np.random.seed(1)
plt.rcParams["font.family"] = "Times New Roman"
colors = ['C1', 'C0']
def generate_fake_data(n, freqs, alphas, starts=None):
if starts is None:
starts = np.random.ra... | thomas097/Haemodynamic-Optimization-Reinforcement-Learning | figures/figure_resampling.py | figure_resampling.py | py | 3,702 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.random.seed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matp... |
30321988429 | """
Little module offering functions to destroy text by repeated Google
translations.
.. moduleauthor:: Signaltonsalat
"""
import logging as log
import random
from time import sleep
import click
import googletrans
from fuzzywuzzy import fuzz
COOLDOWN = 0.5
def validate_path(path):
"""
Takes a comma-separ... | Palculator/schwurbler | src/schwurbler/schwurbler.py | schwurbler.py | py | 4,754 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "googletrans.LANGUAGES",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "googletrans.Translator",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "googletr... |
29019154179 | import scipy.io.wavfile as sio
import scipy.signal as sig
import scipy.ndimage as ndimg
import numpy as np
import cv2
#Import raw 11025 Hz wav file
(Fs, audioRaw) = sio.read('DataAq/Resampled/20190523_195020Z_137100000Hz_AF.wav')
audioRaw = audioRaw/(2.**15)
lineLen = int(np.floor(Fs/2))
lineTotal = int(np.... | fdcavalcanti/wsat-decoder | wsat-decode.py | wsat-decode.py | py | 2,060 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scipy.io.wavfile.read",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.floor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"l... |
73079595742 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
import os
from sklearn.externals import joblib
df = pd.read_csv("heart.csv")
print(df.head())
print(df.tar... | Guru7373/Heart-Disease-Prediction-Using-ML-and-Flask | final.py | final.py | py | 7,462 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "seaborn.countplot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
16153427704 | import discord
import os
import io
import random
from discord.ext import commands
from contextlib import redirect_stdout
import traceback
import textwrap
bot = commands.Bot(command_prefix = "a.", description = "This is a customized bot for The Clubhouse! If you have any suggestions, please tag a Bot Developer.", owner... | MininDiamond123/clubhouse | club.py | club.py | py | 3,370 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "discord.C... |
71308496542 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy.stats as ss
from matplotlib.ticker import FixedFormatter
from matplotlib.ticker import FixedLocator
def plot_individual_specific_effects(with_parameters=None):
fig, ax = plt.subplots()
x = np.linspace(-5, 5, 5000)
pdf = s... | OpenSourceEconomics/ose-course-data-science | lectures/potential-outcome-model/auxiliary.py | auxiliary.py | py | 1,434 | python | en | code | 87 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.sta... |
603742735 | import os
import pandas as pd
import streamlit as st
from llama_index import GPTVectorStoreIndex, SimpleDirectoryReader
from llama_index import download_loader
from matplotlib import pyplot as plt
from pandasai.llm.openai import OpenAI
documents_folder = "documents"
# Load PandasAI loader, Which is a wrapper over Pa... | anoopshrma/Chat-with-Docs | chat_with_docs.py | chat_with_docs.py | py | 4,353 | python | en | code | 80 | github-code | 7 | [
{
"api_name": "llama_index.download_loader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.... |
73102530462 | import tensorflow as tf
import model_input
import cv2
import numpy as np
import os
def pred(test_data, log_dir, model_path, image_size):
images = tf.placeholder(tf.float32, shape=[None, image_size, image_size, 3])
logits = model_input.inference(model_path, images, 2, False)
predict = tf.nn.softmax(logits)... | buptlj/tf_finetune | prediction.py | prediction.py | py | 1,739 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "model_input.inference",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "te... |
3766034110 | from django import forms
from . models import Contact
class FormContact(forms.ModelForm):
name = forms.CharField(max_length=200, label="Name", widget=forms.TextInput(attrs={
'class' : 'form-control',
'placeholder' : 'Quý danh của bạn',
'required' : 'required',
}))
email = forms.Em... | HuynhNguyenCaoPhuong/ClassyMen | store/form.py | form.py | py | 1,010 | python | vi | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.f... |
14464581147 | from django.test import (
TestCase,
Client
)
from account.models import (
User,
Collection
)
from .models import (
Photo,
HashTag,
PhotoHashTag,
PhotoCollection
)
class RelatedPhotoViewTest(TestCase):
def setUp(self):
User.objects.create(
id = 1,
... | dhkim12310/wecode-weplash | photo/tests.py | tests.py | py | 5,336 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "account.models.User.objects.create",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "account.models.User.objects",
"line_number": 19,
"usage_type": "attribute"
},
... |
23105105936 | from twilio.rest import Client
# Your Account Sid and Auth Token from twilio.com/console
# DANGER! This is insecure. See http://twil.io/secure
account_sid = 'put account sid here'
auth_token = 'put auth token here'
client = Client(account_sid, auth_token)
message = client.messages \
.create(
... | smsenvelope/sms-notifier | src/twilio_example.py | twilio_example.py | py | 501 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "twilio.rest.Client",
"line_number": 7,
"usage_type": "call"
}
] |
19746353105 | import requests
import pandas as pd
import os
from datetime import date as dt
def get_articles(category, cat_fmt='cmpageid', save_tsv=False):
'''
This function parses a Category page of Wiktionary, extracts the category
members and the pageid corresponding to each member's page.
It is aimed to extr... | nataquinones/wikiIPA | code/scripts/wikiIPA_tools.py | wikiIPA_tools.py | py | 2,800 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
30663381769 | from functools import reduce
from typing import List
class Solution:
def wordCount(self, startWords: List[str], targetWords: List[str]) -> int:
b = ord('a')
seen = set()
for s in startWords:
r = reduce(lambda a, b: a | b, (1 << (ord(ch) - b) for ch in s))
for i in r... | yutao-li/leetcode | 2135.py | 2135.py | py | 511 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "functools.reduce",
"line_number": 10,
"usage_type": "call"
}
] |
22671520976 | from django.contrib import admin
from .models import Post, Category
admin.site.register(Category)
@admin.register(Post)
class PostAdmin(admin.ModelAdmin):
list_display = ['title', 'slug', 'publish', 'status']
search_fields = ['title', 'body'] # По какому полю искать
prepopulated_fields = {'slug': ('titl... | zikrillo098/Salt | gimalian/admin.py | admin.py | py | 412 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.admin.site.register",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "models.Category",
"line_number": 4,
"usage_type": "argument"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 4,
"usage_type": "attribute"
},
{
... |
21276433084 | from django.contrib import admin
from .models import Blog, Tag, Comment
# Register your models here.
class BloggingAdmin(admin.ModelAdmin):
list_display = ('title', 'author', 'is_published', 'list_date')
list_editable = ('is_published')
class CommentAdmin(admin.ModelAdmin):
list_display = ('name'... | amialiashkasashka/appetizer-django | blogging/admin.py | admin.py | py | 532 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 10,
"usage_type": "attribute"
... |
37774082038 | import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import logging
import nltk
import urllib
from nltk.corpus import names
from nltk.corpus import wordnet
from nlp_nn import NaturalLanguageNetwork
from tornado.options import define, options
define("port", default=8000, help="run ... | alexbass112/Empathica | nlp-service/empathica-nlp.py | empathica-nlp.py | py | 2,696 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "tornado.options.define",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nlp_nn.NaturalLanguageNetwork",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.names.fileids",
"line_number": 19,
"usage_type": "call"
},
{
"ap... |
35948927795 | #------------------------------------#
#
#双分支连接
#
#------------------------------------#
import numpy as np
import torch, math
import ttach as tta
import matplotlib.pyplot as plt
class Combiner:
def __init__(self, epoch_number, device,args):
self.args =args
self.epoch_number = epoch_nu... | Liujehong/BBU_net_seg | building_segmetation/models/conbainer.py | conbainer.py | py | 3,322 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.cat",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "torch.sigmoid",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "torch.sigmoid",
"line_number": ... |
25178614280 | #!/usr/bin/env python
import sys
from Bio import SeqIO
seq_index = SeqIO.index(sys.argv[1], 'fasta')
tau_star_file = open(sys.argv[2])
etaS_file = open(sys.argv[3])
outbase = sys.argv[4]
head = etaS_file.readline()
hl = head.split(",")
strainseqs = [{} for x in range(len(hl)-1)]
for line in etaS_file:
d = line.rs... | leosouliotis/DESMAN | scripts/write_strain_fasta.py | write_strain_fasta.py | py | 1,112 | python | en | code | null | github-code | 7 | [
{
"api_name": "Bio.SeqIO.index",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,... |
38115171342 | #!/usr/bin/env python3
import sys
import traceback
import pandas as pd
def sex2deg(str):
deg = 0.0
negative = False
for elem in reversed(str.split(":")):
if negative:
raise Exception("FFS")
exit(1)
deg /= 60.0
f = float(elem)
if f < 0.0:
... | tjgalvin/racs_misc | convert.py | convert.py | py | 1,996 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "yaml.dump",
"line_number": 87,
"usage_type": "call"
}
] |
74009029342 | import requests
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
from bs4 import BeautifulSoup
counter = 1
user_agent = '''Mozilla/5.0 (Windows NT 10.0; Win64; x64; \
rv:82.0) Gecko/20100101 Firefox/82.0'''
def soupify(dataframe):
"""
Converts the markup o... | Alor-e/datascience_hire_task | product_info_scraper.py | product_info_scraper.py | py | 2,183 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.Session",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.util.retry.Retry",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.adapters.HTTPAdapter",
"line_number": 26,
"usage_type": "call"
},
... |
21892184938 | #!/usr/bin/env python
# AUTHOR : AVI MEHENWAL
# DATE : 25-March-2014
# PURPOSE : POrt scanning utility
""" ENHANCEMENTS:
- Parallel Threads
- List of open ports ?
- Queue Implementation
- Gevent based greenlets
- SocketStatus to be kept seperate in dict format"""
from datetime import datetime
import subpr... | avimehenwal/python.avimehenwal | src/PortScanner/PortScanner.py | PortScanner.py | py | 3,778 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "subprocess.call",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line... |
75016258143 | #!/usr/bin/env python3
#
# get all the groups and their memebers to create a CSV for the address book.
# this handles nested groups
#
import argparse
import collections
import re
import subprocess
import sys
import os
BLOCK_LIST = ['owners@cuttersstudios.com', 'skii@cutters.com', 'thursday@cuttersstudios.com', 'tumb... | elliotnev27/gam_scripts | gam_groups_members-cutters.py | gam_groups_members-cutters.py | py | 6,140 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.expanduser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
24693077353 | import os
import ftplib
from dotenv import load_dotenv
from datetime import datetime
load_dotenv()
password = os.getenv('_PASSWORD_MYSQL')
user = os.getenv('_USER_MYSQL')
backup_dir = os.getenv('_BACKUP_DIR')
backup_name = (
os.getenv('_BACKUP_NAME')
+ datetime.now().strftime('%Y%m%d%H%M%S')
+ '.sql'
)
ba... | matheusmendez/mqtt_client_dht22 | mqtt_client_dht22/mysql_backup.py | mysql_backup.py | py | 1,971 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10... |
27684551030 | from discord.ext import commands
from src.permissions import is_developer
import discord
import datetime
import time
def setup(bot):
bot.add_command(setup_command(time.time()))
def setup_command(start_time):
@commands.command()
@is_developer()
async def uptime(ctx):
current_time = time.time(... | LoaiDev/LoaiBot | src/commands/uptime.py | uptime.py | py | 618 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_numbe... |
354788707 | """AWS Lambda handlers."""
import email
import os
import time
from fleece.xray import (monkey_patch_botocore_for_xray)
from decorators import authenticate
from decorators import get_ses_message
from decorators import is_not_blocked
from helpers import send_letter
from helpers import send_message
from helpers import ... | hmngwy/secureletter | methods.py | methods.py | py | 4,476 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fleece.xray.monkey_patch_botocore_for_xray",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_nam... |
20868661313 | from collections import deque
def solution(maps):
def bfs(start,end):
n = len(maps)
m = len(maps[0])
dx = [-1,1,0,0]
dy = [0,0,-1,1]
queue = deque([(start,end)])
while queue:
x,y = queue.popleft()
for i in range(4):
nx = ... | kimdouk/Algorithm-PS | 프로그래머스/lv2/1844. 게임 맵 최단거리/게임 맵 최단거리.py | 게임 맵 최단거리.py | py | 646 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
}
] |
14489267189 | import os
import requests
import re
from bs4 import BeautifulSoup
from pytube import YouTube
#from moviepy.editor import *
def get_linklist_by_title(searh_request, count=5):
urls, plst, urls_emb = [], set(), []
#convert to querry view and get response
resp = requests.get('https://www.youtube.com/results... | asmalx/MP3-downloader | functions.py | functions.py | py | 1,979 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytube.YouTube",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pytube.YouTube",
"line_num... |
24595131814 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from . import models
@admin.register(models.User)
class CustomUserAdmin(UserAdmin):
"""Custom User Admin """
CUSTOM_PROFILE_FILED = (
(
"Custom Profile",
{
"fields": (
... | ChoiNakHoon/stampKorea | users/admin.py | admin.py | py | 997 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.contrib.auth.admin.UserAdmin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.admin.UserAdmin.fieldsets",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.admin.UserAdmin",
"line_number": 30... |
23991474383 | from ..dataset import Sample, Subset, ClassificationDataset
import pickle
import numpy as np
import os
class PetsDataset(ClassificationDataset):
'''
Dataset of cat and dog images from CIFAR-10 (class 0: cat, class 1: dog).
'''
def __init__(self, fdir: str, subset: Subset):
'''
Loads a ... | Normale/DeepLearning-course | cats_dogs/dlvc/datasets/pets.py | pets.py | py | 3,540 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dataset.ClassificationDataset",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dataset.Subset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "dataset.Subse... |
22448815732 | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from PIL import Image
import numpy as np
import os
import pdb
import torchvision
from torchvision import models
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, utils
from sklearn.model_sel... | rahulbansal10/domain_adaptation | work_code/main.py | main.py | py | 5,286 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pickle.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Normalize",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "t... |
20561829204 | from nltk import word_tokenize, pos_tag
from nltk.corpus import wordnet as wn
import time
def sentence_similarity(sentence1, sentence2):
""" compute the sentence similarity using Wordnet """
# Tokenize and tag
sentence1 = word_tokenize(sentence1)
sentence2 = word_tokenize(sentence2)
# Get the ... | dantordj/SemanticClustering | sem_distance.py | sem_distance.py | py | 1,322 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "nltk.word_tokenize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.wordnet.synsets",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nlt... |
42937553114 | import errno
import functools
import socket
from time import sleep
import pandas
import paho.mqtt.client as mqtt
import json
from argos import tbHome
import tornado.ioloop
from tornado.iostream import IOStream
from multiprocessing.pool import ThreadPool
import argparse
_workers = ThreadPool(50)
thingsboardHost = "1... | argosp/pyargos | argos/old/bin/argos-port-to-MQTT-NDIR.py | argos-port-to-MQTT-NDIR.py | py | 3,608 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "multiprocessing.pool.ThreadPool",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.Timestamp",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "tornado.iostream.IOStream",
"line_number": 55,
"usage_type": "call"
},
{
"api_na... |
12151651894 | # import numpy as np
# import matplotlib.pyplot as plt
# import os
# from skimage.io import imread
# from skimage.draw import polygon
# import pandas as pd
# from sklearn.metrics import confusion_matrix, classification_report
# from skimage.util import img_as_float
#
# disaster_type = 'wind'
# labelsDB = pd.read_pickle... | Seyed-Ali-Ahmadi/Building-Damage-Assessment | CodeGarbage/check_1.py | check_1.py | py | 11,491 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "matplotlib.colors.ListedColormap",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "skimage.draw.polygon",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "pa... |
30488031421 | import pygame
from player import Player
from bullet import Bullet
from enemy import Enemy
from squadron import Squadron
# Game settings
WINDOW_WIDTH = 400
WINDOW_HEIGHT = 600
GAME_SIDE_MARGIN = 10
GAME_TOP_MARGIN = 40
GAME_BOTTOM_MARGIN = GAME_TOP_MARGIN
GAME_BORDER_WIDTH = 3
GAME_WALL_TOP = GAME_TOP_MARGIN + GAME_B... | alvarogarcia123/SpaceInvadersGame | main.py | main.py | py | 4,753 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
21888346308 | import pyttsx3
import speech_recognition as sr
import datetime
import os
import webbrowser
import wikipedia
import random
import smtplib
print(" INITIALIZING JARVIS ")
CREATOR= "JOHN" # YOUR NAME CAN BE ENTERED HERE
engine = pyttsx3.init("sapi5")
voices = engine.get... | Avimehta14/RUDIMENTARY-PYTHON-V.A- | F.L.Y.N.N.py | F.L.Y.N.N.py | py | 6,074 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyttsx3.init",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
34302992209 | import operator
import re
from ..lib.misc import file_scan, hash_files, random_string
from functools import reduce
from itertools import chain
from pyramid.view import view_config
from pyramid.renderers import render_to_response
import logging
log = logging.getLogger(__name__)
random_revision = random_string()
@... | kusl/flexi-core-system | webapp/flexi/views/cache_manifest.py | cache_manifest.py | py | 1,097 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lib.misc.random_string",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "operator.att... |
29042234527 | import os,psutil,time,datetime as dttime
from optparse import OptionParser
from paircarstools.access_ms import *
from paircarstools.basic_func import *
from paircarstools.flagger import *
from paircarstasks.split_ms import *
from casatasks import *
from casatools import msmetadata,table,measures,quanta,agentflagger,ima... | devojyoti96/P-AIRCARS | paircarstasks/parallel_ms_split.py | parallel_ms_split.py | py | 18,442 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "psutil.cpu_count",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "psutil.cpu_percent",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_n... |
73431848223 | from pymongo import MongoClient
import config
client = MongoClient()
db = client[config.db_name]
posts = db.posts
def get_coord(t_id):
loc_log = {}
loc_lat = {}
for id in t_id:
count2 = 0
for post in posts.find({'id':id}):
log = 0.0
lat = 0.0
count = 0.... | himanshuIndia/sentiment_analysis | db_op.py | db_op.py | py | 982 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "config.db_name",
"line_number": 6,
"usage_type": "attribute"
}
] |
72844248222 | import os
import glob
import argparse
from PIL import Image
from skimage import io
import numpy as np
from tqdm import tqdm
WORK_DIR = './workspace/U-2-Net'
def parse_args():
parser = argparse.ArgumentParser(
description='Postprocess for U-2-Net'
)
parser.add_argument('--image_dir', type=str, d... | Ascend/ModelZoo-PyTorch | ACL_PyTorch/built-in/cv/U2-Net_for_PyTorch/postprocess.py | postprocess.py | py | 1,979 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "os.sep",
"l... |
43025384309 | import glob
import numpy as np
import cv2
import yaml
boardsize = [6, 7]
numEdgeX = 7
numEdgeY = 6
img_shape = (640,480)
criteria = (cv2.TermCriteria_EPS +
cv2.TermCriteria_MAX_ITER, 30, 0.001)
criteria_cal = (cv2.TermCriteria_EPS +
cv2.TermCriteria_MAX_ITER, 30, 1e-5)
objp = n... | BanafshehKarimian/stereo | t1.py | t1.py | py | 4,644 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.TermCriteria_EPS",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.TermCriteria_MAX_ITER",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.TermCriteria_EPS",
"line_number": 13,
"usage_type": "attribute"
},
{
... |
8560060590 | import logging
import pandas as pd
from dotenv import load_dotenv
import os
from pymongo import MongoClient
import certifi
import requests
from pyquery import PyQuery
logger = logging.getLogger('process_doc')
logger.setLevel(logging.INFO)
logger.addHandler(logging.StreamHandler())
#init Mongo Client as global
client ... | Marcus-Lion/ml-samples | src/process/process_doc.py | process_doc.py | py | 5,717 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dotenv.load... |
36099126725 | import pandas as pd
from pymongo import MongoClient,TEXT
from json import loads
from datetime import datetime
client = MongoClient('mongodb://localhost:27017/')
db = client["datavis"]
senate = db["senate"]
chamber = db["chamber"]
def to_mongo(dest, data, idxs=[]):
dest.drop()
for chunk in data:
dest... | israelcvidal/datavis-project | insert.py | insert.py | py | 861 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pymongo.TEXT",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"l... |
7615795328 | import pandas as pd
import re #清楚数字标点的标准库
from textblob import TextBlob
import emotion
from nltk.corpus import stopwords # 下载之后 载入字典
from nltk.stem.porter import PorterStemmer # stem：词根 PorterStemmer： 词根函数库
positive, negative = emotion.get_emotion()
positive = tuple(positive)
negative = tuple(negative)
table = "m... | SunshineHJian/--hujian | code/first_1.py | first_1.py | py | 3,943 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "emotion.get_emotion",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter.PorterStem... |
27599503987 | from collections import OrderedDict
import glob
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.style.use('apj')
import h5py
from scipy.interpolate import interp1d
import pandas as pd
dirs_p1 = ["erf_AE_cut/erf_step_3D_Re4e2_P1e0_zeta1e-3_S1e3_Lz2_Lcz1_Pr0.5_a2_Titer0_64x64x256_schwar... | evanhanders/convective_penetration_paper | data/consolidate_time_data.py | consolidate_time_data.py | py | 7,747 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name"... |
28972517650 | import sys
from collections import deque
def bfs(v):
q = deque([v]) #큐 구현을 위해 deque 사용
while q:
v = q.popleft()
if v == k:
return visited[v]#BFS연산이므로 최소값을 따로 정의하지 않아도 된다.
for i in (v-1, v+1, 2*v):
if 0 <= i <= 100000 and not visited[i]:
visited[i]... | wjsrlahrlco1998/Coding-Test-Study | koo-kwang-mo/[BOJ] 숨바꼭질/[BOJ] 숨바꼭질.py | [BOJ] 숨바꼭질.py | py | 610 | python | ko | code | 3 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
}
] |
410716411 | from unityagents import UnityEnvironment
import numpy as np
from ddpg_agent import Agent
import torch
from collections import deque
import matplotlib.pyplot as plt
env = UnityEnvironment(file_name='Tennis_Windows_x86_64/Tennis.exe',no_graphics=True)
# get the default brain
brain_name = env.brain_names[0]
brain = env.... | stgering/p3 | Tennis.py | Tennis.py | py | 3,774 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unityagents.UnityEnvironment",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ddpg_agent.Agent",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.... |
9877980357 | import asyncio
import random
import time, logging
format = '[%(asctime)s] %(levelname)s: %(message)s'
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG, format=format)
async def heavy_work(n: int):
i = 2 # random.randint(0, 2)
logger.info(f"sleep for {i}")
await asyncio.sleep(i... | nvkhedkar/python-code | learn/my_saas_python_class/Basics/async_base.py | async_base.py | py | 678 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "asyncio.sleep",... |
22710380565 | import xenon_worker as wkr
import utils
import asyncio
import pymongo
from datetime import datetime, timedelta
import random
from backups import BackupSaver, BackupLoader
MAX_BACKUPS = 15
class BackupListMenu(wkr.ListMenu):
embed_kwargs = {"title": "Your Backups"}
async def get_items(self):
args =... | DrTexx/xenon-main | modules/backups.py | backups.py | py | 13,515 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "xenon_worker.ListMenu",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pymongo.DESCENDING",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "utils.datetime_to_string",
"line_number": 31,
"usage_type": "call"
},
{
"api_n... |
38064900627 | import json
from enum import Enum
from typing import List, Optional
from pydantic import BaseModel, Field, validator # pylint: disable=no-name-in-module
class ContentSignature(BaseModel):
"""
Defines the data used to generate the signature, as well as the signer's identifier.
"""
event_content_hash:... | franciscomirasg/TFG-Blockchaindatabase-Exploration-Release | src/interfaces/event.py | event.py | py | 6,057 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
... |
11538487825 | from typing import List
from raspberry_home.view.view import *
class ZStack(View):
def __init__(self, children: List[View]):
self.children = children
def content_size(self, container_size: Size) -> Size:
width, height = 0, 0
for child in self.children:
content_size = chi... | merskip/raspberry-home | raspberry_home/view/zstack.py | zstack.py | py | 609 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
72349974943 | from django.conf import settings
from django.core.mail import EmailMultiAlternatives, send_mail
from django.template import loader, RequestContext, TemplateDoesNotExist
email_templates = [
'order_confirmation',
'payment_confirmation'
]
def templates():
"""Loads all the required templates"""
base = {}
... | Zadigo/django_api | ecommerce_emails/base.py | base.py | py | 715 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.template.loader.render_to_string",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 23,
"usage_type":... |
5363958612 | import logging
import functools
import torch
import torch.nn.functional as F
from torch.nn.modules.loss import _Loss
import network.utils as utils
import network.models as models
logger = logging.getLogger()
def get_loss_act(activation):
if activation == 'tanh':
act = utils.nn_tanh_phi_fn_dir
... | frellan/neural-synthesizer | network/models/srs_loss.py | srs_loss.py | py | 11,227 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "network.utils.nn_tanh_phi_fn_dir",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "network.utils",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": ... |
24949227218 | import boto3
from datetime import datetime
def create_record():
client = boto3.client('dynamodb')
try:
client.put_item(
TableName='customerRecords',
Item={
'customerId': {'S': 'cust-71004'},
'recordCreateDate': {'S': f'{datetime.now().strftime("%... | Dev-StanKin/AWSDeveloperProject | dynamo_fund/create_spec.py | create_spec.py | py | 608 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "boto3.client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
}
] |
33807779198 | # -*- coding: utf-8 -*-
####
# 01/2011 Bernd Schlapsi <brot@gmx.info>
#
# This script is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#... | gpodder/gpodder | share/gpodder/extensions/tagging.py | tagging.py | py | 9,941 | python | en | code | 1,186 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "mutagen.mp4.MP4Tags._padding",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "mutagen.mp4.MP4Tags",
"line_number": 46,
"usage_type": "name"
},
{
"api_name"... |
14625305813 | """empty message
Revision ID: 1217bc0ef9b2
Revises: 599b0de4dc98
Create Date: 2020-01-26 15:56:14.294785
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '1217bc0ef9b2'
down_revision = '599b0de4dc98'
branch_labels = None
depends_on = None
def upgrade():
# ... | nkatwesigye/Music-Venue-Booking-Site-Furry | starter_code/migrations/versions/1217bc0ef9b2_.py | 1217bc0ef9b2_.py | py | 667 | 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"... |
8330751596 | # Import the necessary libraries
from gripable.udpclient.flex.FlexUdp import FlexUdp
from gripable.udpclient.flex.FlexUdp2 import FlexUdp2
from gripable.udpclient.flex.protobuf.SensorData_pb2 import SensorData
import time
import RPi.GPIO as gpio
import statistics
# Start connections with the GripAble devices
flex_righ... | carlosgd96/TFM_Carlos_Gil_Delgado | car_MOVit_movement.py | car_MOVit_movement.py | py | 9,292 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gripable.udpclient.flex.FlexUdp.FlexUdp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gripable.udpclient.flex.FlexUdp2.FlexUdp2",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 22,
"usage_type": "ca... |
27477154774 | #
# Sample for PyArrow on PyPy
# This should work for ideally pypy:3.6-7.3.2-slim-buster as well as 3.9-7.3.9-slim-bullseye. But if need be, we can sacrify 3.6 in favor of 3.9
#
import datetime
import pyarrow.parquet as pq
import pyarrow as pa
arrow_schema = pa.schema(
[
pa.field('id', pa.string()),
pa.field('da... | bivald/pyarrow-on-pypy3 | pyarrow-on-pypy.py | pyarrow-on-pypy.py | py | 1,584 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyarrow.schema",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyarrow.field",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyarrow.string",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyarrow.field",
"line... |
20497597325 | from flask import Flask,flash, request, jsonify, render_template,redirect,send_from_directory,session, url_for
import flask
import os
from werkzeug.utils import secure_filename
import tensorflow as tf
from tensorflow.keras.applications.inception_v3 import InceptionV3
import tensorflow.keras.applications.inception_v3
fr... | AhmedaliElgabry/Image_captioning | app.py | app.py | py | 4,010 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name... |
39516763660 | from django.contrib import messages
from django.contrib.auth import logout, authenticate, login
from django.http import HttpResponseRedirect
from django.shortcuts import render
# Create your views here.
from car.models import Car, Category, Images
from home.models import Setting, ContactFormu, ContactFormMessage, User... | tugceozdemirci/Django-Arac-Kiralama | home/views.py | views.py | py | 5,318 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "home.models.Setting.objects.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "home.models.Setting.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "home.models.Setting",
"line_number": 13,
"usage_type": "name"
},
{
... |
42926139508 | import pandas as pd
import datetime as dt
import os
import numpy as np
import nltk
from nltk.corpus import stopwords
from nltk.sentiment.vader import SentimentIntensityAnalyzer
import tidytext
import matplotlib.pyplot as plt
import seaborn as sns
import praw
import time
# read in the scraped posts
posts_df = pd.read_c... | vyycy/Reddit-NLP-Sentiment-Project | RedditWSB_NLP_Sentiment_Analysis/sentiment_scoring.py | sentiment_scoring.py | py | 4,676 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tidytext.unnest_tokens",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nl... |
20761548350 | #Boundary of objects
#contours !=edges"
import cv2 as cv
import numpy as np
img = cv.imread('../photos/big-bang.jpg')
cv.imshow('Bang',img)
blank=np.zeros(img.shape, dtype='uint8')
cv.imshow('Blank',blank)
gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
cv.imshow('Gray',gray)
ret,thresh = cv.threshold(gray,125,255,cv.T... | GraniteMask/OpenCv-basic2advanced-tools | contourDraw.py | contourDraw.py | py | 799 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 10,
... |
74386741663 | __all__ = [
"signal_minmax",
"signal_normalize",
"signal_quantize_midtread",
"SignalProcessor",
"SignalProcessorState",
]
import dataclasses
import warnings
from typing import Any, Iterable, Optional, Union, TYPE_CHECKING
import torch
if TYPE_CHECKING:
from datasets.series_dataset import Seri... | cheind/autoregressive | autoregressive/signal.py | signal.py | py | 4,477 | python | en | code | 61 | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "typing.Iterable",... |
30987324962 | import random
import matplotlib.pyplot as plt
from src import NodeData
from src.DiGraph import DiGraph
class Show_graph:
WIDTH, HEIGHT = 800, 600
def __init__(self, graph: DiGraph):
self.pr_graph = graph
def have_pos(self):
"""
Checks if there is a vertex that does not have a pos... | amit9676/OOPTask3 | src/Show_graph.py | Show_graph.py | py | 1,453 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "src.DiGraph.DiGraph",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "src.NodeData",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
19462974970 | #!/usr/bin/env python
"""
Create an image for each note.
USAGE ./create_images.py NOTES_CSV_FILE FILEPATH FONT
NOTES_CSV_FILE: the list of notes to create
FILEPATH: where to store the images
FONT: location of the font file
"""
from PIL import Image,ImageDraw,ImageFont
import sys,csv,os
if len(sys.argv) < 4:
prin... | jasonsbrooks/ARTIST | util/create_images.py | create_images.py | py | 905 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
"li... |
34171424159 | import plotly.graph_objects as go
import math
def addToDict(dictionary, d, universeSize, bfSize):
dDict = {
'd': d,
'universeSizeList': universeSize,
'bfSize': bfSize
}
dictionary[d] = dDict
def createDictionary(type):
dictionary = {}
with open(f'{type}_res.txt') as fp:
... | noambenmoshe/simpleBloom | src/ols_script/plot_uni_vector.py | plot_uni_vector.py | py | 2,241 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objects.Scatter",
"line_number": 42,
"usage_type": "call"
},
{
"api... |
37954855508 | #!/usr/bin/env python3
from random import randint
import torch
from torchvision import datasets, transforms
import pickle
#import json
import numpy as np
import os.path
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('GTK3Cairo')
NUM_IMAGES = 10000
STITCH_SIZE = 4
DATA_PATH = os.path.join(os.path.dir... | jmnel/neuralsort | junk/src/mnist_nsort/database_builder.py | database_builder.py | py | 3,521 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"lin... |
11865852703 | #useful when the scale of an object with keyframe needs to be changed
#shawn - May 2018
import maya.cmds as cm
animCurves = cm.keyframe(sl=True,name=True,q=True)
for eachCurve in animCurves:
keyIndex = cm.keyframe(eachCurve,sl=True,indexValue=True,q=True)
for eachIndex in keyIndex:
currV = cm.ke... | NMVHS/mayaScripts | ScaleKeyframeValues.py | ScaleKeyframeValues.py | py | 503 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "maya.cmds.keyframe",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "maya.cmds.keyframe",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_n... |
43905729993 | """
This module contains a Transaction class which represents a single financial transaction.
It also contains an enum class TransactionType which has two members, EXPENCE and INCOME, representing the type of transaction.
This class raises the following exceptions:
- InvalidTypeException: If an invalid transactio... | RaziyeNikookolah/m93-practices | hw11/transaction/models.py | models.py | py | 4,657 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.t... |
72226213662 | """ This module contains API calls to FoodCity """
import asyncio
import logging
import time
import re
from pyppeteer.errors import ElementHandleError
from pyppeteer import launch
from pyppeteer_stealth import stealth
from fcclipper import __fcclipper_user_data_dir__
from .libs.memoize import Memoized
LOG = logging.... | jadunn1/fcclipper | fcclipper/api.py | api.py | py | 10,214 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fcclipper.__fcclipper_user_data_dir__",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pyppeteer.launch",
"line_number": 41,
"usage_type": "call"
},
{
"api_name... |
24830894119 | from app.model.employee import EmployeeModel
from app.db.configuration import sa
from flask.testing import FlaskClient
from flask import Flask
from typing import Any
class TestEmployeeyResourceGet:
def test_when_employee_exists(self, client: FlaskClient, app: Flask, employee_model_data: dict[str, Any]) -> None:
... | WojciechKubak/FLASK-BASE | tests/routes/employee/employee_resource/test_get.py | test_get.py | py | 880 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.testing.FlaskClient",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "app.model.employee.a... |
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