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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
36995460021 | from string import punctuation
from razdel import sentenize
from razdel import tokenize as razdel_tokenize
import numpy as np
from IPython.display import Image
from IPython.core.display import HTML
lenta = open('lenta.txt',encoding="utf-8").read()
rtt = open('russian_toxic_tweets.txt',encoding="utf-8").read()
... | Leop333/Python-s-Homeworks | CL Project #1/Computer Linguistics' Project.py | Computer Linguistics' Project.py | py | 6,105 | python | ru | code | null | github-code | 21 | [
{
"api_name": "string.punctuation",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "razdel.tokenize",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "collection... |
2000160567 | # rogue final game
# Python Standard Library
import copy
import random
# Third-Party Libraries
import pygame as pg
# Local Modules
from game import Game
from character import *
from map import *
####### GAME CONSTANTS ############
FPS = 10
DIRECTIONS = {
"DOWN": (0, +1),
"UP": (0, -1),
"RIGHT": (+1, 0... | antoinelii/roguegame | rogue.py | rogue.py | py | 2,761 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "game.Game",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "pygame.QUIT",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "pygame.KEYDOWN",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_q",
"line... |
24059648224 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
# from sklearn.metrics import accuracy_score, classification_report, confusion_matrix
from sklearn.preprocessing import LabelEncoder
# Step 1: Load the dataset
data = pd.read_csv('APA-DDoS-Datas... | resrrdttrt/ai-service | DDoS/train.py | train.py | py | 1,647 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 37,
"usage_type": "call"
},... |
1318218753 | import os
from datetime import datetime
from pathlib import Path
import sys
import cv2
import time
import numpy as np
import utils
import utils as utils_customized
from config import Config
from models import RgbDetector, SpecDetector
import logging
def main(only_spec=False, only_color=False, if_merge=False, interv... | FEIJINTI/tobacco_color | main.py | main.py | py | 10,119 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "models.SpecDetector",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.Config.blk_model_path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "c... |
36554125346 | from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import print_function
import os
from pygit2 import Repository, GIT_STATUS_WT_DELETED, GIT_STATUS_WT_MODIFIED, GIT_STATUS_WT_RENAMED, \
GIT_STATUS_WT_TYPECHANGE, GIT_STATUS_INDEX_NEW, GIT_STATUS_INDEX_MODIFIED, GIT_STATUS... | m42e/teamscale-cli | teamscale_precommit_client/git_utils.py | git_utils.py | py | 3,868 | python | en | code | null | github-code | 21 | [
{
"api_name": "pygit2.GIT_STATUS_INDEX_NEW",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pygit2.GIT_STATUS_INDEX_MODIFIED",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pygit2.GIT_STATUS_WT_MODIFIED",
"line_number": 11,
"usage_type": "name"
},... |
1677807112 | from pathlib import Path
import pickle
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.multioutput import MultiOutputRegressor
from sklearn.pipeline import Pipeline
from sklearn.model_selection import cross_validate
from sklearn.metrics import mean_squared_error
from sklearn import ens... | yujouwang/pyStruct | pyStruct/structurePredictor/lookupStructures.py | lookupStructures.py | py | 3,990 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
21626333318 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.svm import SVC
from sklearn.neural_network import MLPClassifier
from utils import plot_confusion_mat, plot_decision_regions, EpochViz
def predict1vR(X, unique_classes, clf_dict):
pred_labels = []
for x in X:
x = x.re... | amw-18/ML-Implementations | Neural Networks, SVMs/1b.py | 1b.py | py | 4,007 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.neural_network.ML... |
37223658183 | #!/usr/bin/python3
'''This is a module'''
from api.v1.views import app_views
from flask import jsonify, request
from models.amenity import Amenity
from flask import abort
from models import storage
@app_views.route('/amenities', methods=['GET', 'POST'],
strict_slashes=False)
def get_amenities():
... | mazi-kunle/AirBnB_clone_v3 | api/v1/views/amenities.py | amenities.py | py | 1,894 | python | en | code | null | github-code | 21 | [
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.storage.all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.ame... |
32957867037 | #!/usr/bin/env python3
import platform
import uuid
from flask import Flask, jsonify
app = Flask(__name__)
movie_list = [
{
"_id": str(uuid.uuid4()),
"title": "Toy Story",
"rating": "G",
"release_date": "11/22/1995",
},
{
"_id": str(uuid.uuid4()),
"title": "... | dmorand17/dockerized-flask | app.py | app.py | py | 2,275 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 23,
... |
39969002159 | import sqlite3
from tabulate import tabulate
def create_user_table():
connection = sqlite3.connect('vehicle_management.db')
cursor = connection.cursor()
#cursor.execute("ALTER TABLE BaseUser MODIFY COLUMN id Integer AUTO_INCREMENT ; ")
#cursor.execute('DROP TABLE RepairHour')
cursor.e... | ElenaR1/Python-101 | week10/vehicle_management.py | vehicle_management.py | py | 19,369 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
22888443741 | """
Exception and context management across :xref:`snowmobile` objects.
"""
from __future__ import annotations
from typing import Any, Iterable, Set, Type
from .errors import *
from . import Generic
class ExceptionHandler(Generic):
"""All :xref:`snowmobile` classes contain a :class:`ExceptionHandler`.
Para... | gem7318/snowmobile | snowmobile/core/exception_handler.py | exception_handler.py | py | 9,897 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "typing.Any",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 49,... |
70753602932 | import pandas as pd
full_annotation_file = "dataset/label.xlsx"
image_root = "dataset"
ann = pd.read_excel(full_annotation_file).dropna()
# split train test
from sklearn.model_selection import train_test_split
train_ann, test_ann = train_test_split(ann, test_size=0.2, random_state=42)
train_ann.to_excel("dataset/tr... | toilaluan/hust_dl_scene_detection | scene_detect/data/split_train_test.py | split_train_test.py | py | 408 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_excel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 11,
"usage_type": "call"
}
] |
16378127262 | from django.http import Http404
from django.views.decorators.cache import cache_page
from django.views.generic.detail import DetailView
from django.views.generic.list import ListView
from variants.filters import VariantFilter
from variants.models import Variant
class VariantsView(ListView):
model = Variant
te... | Luganskaya-Svetlana/Physalis | physalisproject/variants/views.py | views.py | py | 2,429 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "django.views.generic.list.ListView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "variants.models.Variant",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "variants.filters.VariantFilter",
"line_number": 14,
"usage_type": "name"
},
... |
9156763173 | # -*- coding: utf-8 -*-
import threading
import time
import enum
import logging
log = logging.getLogger(__name__)
import arp
import icmp
import udp
import tcp
import raw
import net
from common import *
# IP protocols
@enum.unique
class IPPROT(enum.IntEnum):
ICMP = 1
IGMP = 2
IP = 4
TCP = 6
EGP =... | yiopposite/pyip | ipv4.py | ipv4.py | py | 13,095 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "enum.IntEnum",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "enum.unique",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "threading.Lock",
... |
4920779650 | from collections import defaultdict
N = int(input())
S = input()
b = [0,0]
z = defaultdict(list)
z[b] = 1
for s in S:
if (s == 'R'):
b[0] += 1
elif s == 'L':
b[0] -= 1
elif s == 'U':
b[1] += 1
else:
b[1] -= 1
z.add(b)
print(z)
| norisumo/Atcoder_ABC | 291/B.py | B.py | py | 282 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
}
] |
13417236285 | import pytest
from tests.conftest import CSV_FOLDER, JSON_FOLDER, TESTS_FOLDER
from tests.util import seed_database_with_2019_test_data
from vigorish.app import Vigorish
@pytest.fixture(scope="package")
def vig_app(request):
"""Returns an instance of the application configured to use the test DB and test config ... | a-luna/vigorish | tests/test_with_2019_data/conftest.py | conftest.py | py | 876 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "vigorish.app.Vigorish",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tests.conftest.TESTS_FOLDER.glob",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tests.conftest.TESTS_FOLDER",
"line_number": 15,
"usage_type": "name"
},
{
... |
11314772461 | from django.db import models
# Create your models here.
class Author(models.Model):
name = models.CharField(max_length=128)
last_name = models.CharField(max_length=128, null=True)
class Country(models.Model):
name = models.CharField(max_length=128)
created_at = models.DateTimeField(auto_now_add=True, null=T... | DearSergioM/travis-dearsergio | library/books/models.py | models.py | py | 1,823 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
1118292487 | import uuid
from datetime import datetime
import eng_to_ipa
from nltk.stem.wordnet import WordNetLemmatizer
from src.constant import Constant
from src.stuff_util import cover_slash, get_notation, get_or_default
class BaseModel:
'''
this is class base model
'''
def __init__(self,id=None,date_create=N... | minhdua/StudyEnglishVocabulary | src/model.py | model.py | py | 6,272 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "src.stuff_util.get_or_default",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "src.stuff_util.get_or_default",
"line_number": 17,
"usage_type": "call"
},
{
"api_name":... |
36333082570 | import requests
import json
import glob
import shutil
import os
from tqdm import tqdm
basePath = "/data/dongwei/dwclassImages/"
allClassNameUrl = "http://annotation.lingmou.ai:8000/index.php/skus/get-all"
response = requests.get(allClassNameUrl)
response = json.loads(response.text)
def main():
count = 0
sma... | xytysingle/AnnotationTool | python-script/taigu_uncertain_process/moveOutCoca.py | moveOutCoca.py | py | 1,412 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 21,
... |
71280208694 | import numpy as np
from numba import njit
from scipy.interpolate import interp1d
from scipy.optimize import fsolve
from Utils.EFE_TR import d_r
@njit
def h_def(A, B, KB, r, N, dR):
"""
Computes in each point of the grid the definition of the apparent horizon.
Inputs:
A : field A
B : field B
KB : field ... | LoreCip/NR_ADM | Program/Utils/Horizon.py | Horizon.py | py | 2,210 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "Utils.EFE_TR.d_r",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numba.njit",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.where",
"line_number"... |
27705883956 | # -*- coding: utf-8 -*-
from Products.Five import BrowserView
from Products.PloneMeeting.interfaces import IRedirect
from zope.component.hooks import getSite
from zope.interface import implements
class RedirectView(BrowserView):
"""
"""
DEFAULT = """<html><head><base href="{0}" /></head></html>"""
d... | IMIO/Products.PloneMeeting | src/Products/PloneMeeting/browser/redirect.py | redirect.py | py | 1,269 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Products.Five.BrowserView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "zope.interface.implements",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Products.PloneMeeting.interfaces.IRedirect",
"line_number": 27,
"usage_type": "argumen... |
74154770931 | import torch
import numpy as np
def tensor_to_numpy(tensor: torch.Tensor) -> np.ndarray:
"""
Convert an image or a batch of images from tensor to ndarray.
Args:
tensor (torch.Tensor): The tensor with shape `[c, h, w]` or
`[b, c, h, w]`.
Returns:
np.ndarray: The array with sha... | Enot3811/contrastive_learning | torch_tools.py | torch_tools.py | py | 1,029 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.Tensor",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
... |
2756758043 | """add cid to employment
Revision ID: 07eedaca0d9c
Revises: c181358dbec6
Create Date: 2018-04-18 21:52:47.854505
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '07eedaca0d9c'
down_revision = 'c181358dbec6'
branch_labels = None
depends_on = None
def upgrade()... | nautilis/zhku.scm | back-end/migrations/versions/07eedaca0d9c_add_cid_to_employment.py | 07eedaca0d9c_add_cid_to_employment.py | py | 662 | python | en | code | 0 | github-code | 21 | [
{
"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.Integer... |
31250741834 | from typing import Dict, Optional, Tuple, List
import collections
from armi import plugins, pluginManager, meta, settings
from armi.settings import Setting
from armi.settings import fwSettings
from armi.reactor import parameters
class App:
"""
The main point of customization for the ARMI Framework.
The ... | atomic-nuclear/production | apps.py | apps.py | py | 9,416 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "armi.plugins.getNewPluginManager",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "armi.plugins",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "armi.cli.EntryPointsPlugin",
"line_number": 55,
"usage_type": "attribute"
},
{
"api... |
4045633880 | import matplotlib.pyplot as plt
import numpy as np
import cv2
import tensorflow as tf
import tensorflow.keras as keras
def preprocessSudokuDigitsAndLabels(digits,labels):
preprocessedDigits, preprocessedLabels = [],[]
for digit in digits:
digit=cv2.normalize(digit,0,255,cv2.NORM_MINMAX)
if labels is None... | jakharrahul000/SudokuSolver | digitrecognition.py | digitrecognition.py | py | 3,045 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.normalize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.NORM_MINMAX",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"l... |
37623776850 | from typing import Any, Callable, List, NoReturn, Union as U, Tuple, Optional
import heapq
import itertools
from search_problems.util import Node
from search_problems.util import Problem
def best_first_search(problem: Problem, f: Callable) -> Optional[Node]:
"""
Takes in an implemented `Problem` and returns a `Nod... | loudpumpkins/lets_learn_ai | search_problems/best_first.py | best_first.py | py | 1,390 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "search_problems.util.Problem",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "search_problems.util.Node",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "... |
73034983093 | """
.. _tut_sensors_time_frequency:
=============================================
Frequency and time-frequency sensors analysis
=============================================
The objective is to show you how to explore the spectral content
of your data (frequency and time-frequency). Here we'll work on Epochs.
We wil... | LiuFang816/SALSTM_py_data | python/mne-tools_mne-python/mne-python-master/tutorials/plot_sensors_time_frequency.py | plot_sensors_time_frequency.py | py | 5,138 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "mne.datasets.somato.data_path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "mne.datasets.somato",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "mne.io.read_raw_fif",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": ... |
42565591906 | from PIL import Image,ImageDraw,ImageFont
import openpyxl
from openpyxl import load_workbook
import smtplib as s
def xls_to_pylist(filepath,template_path,font_path,font_size,ext):
workbook = load_workbook(filename=filepath)
sheet = workbook.active
no_of_row_in_sheet=8
for i in rang... | yvaishali941/certificate-generator | certi_gener.py | certi_gener.py | py | 1,226 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
... |
22082145923 | import torch
from torch.nn import init
import numpy as np
import random
import math
import os
from matplotlib import pyplot as plt
from PIL import Image
import scipy.signal
from tqdm import tqdm
from torch.autograd import Variable
def weights_init_kaiming(m):
classname = m.__class__.__name__
if classname.find... | htsun1998/Tracking-PyTorch | reid/utils/utils.py | utils.py | py | 7,510 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.nn.init.kaiming_normal_",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn.init",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.init.kaiming_normal_",
"line_number": 19,
"usage_type": "call"
},
{
"api_nam... |
12615005481 | from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.db.models import Q
from django.shortcuts import redirect, render_to_response
from django.urls import reverse_lazy
from django.utils import timezone
fro... | patrick-moreira/web-chat | webchatserver/chatapp/views.py | views.py | py | 2,261 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.Message.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
... |
10283536748 | try:
# ------------------------------------------------------------------------------
# -- Import Section
# ------------------------------------------------------------------------------
import traceback
import os
import time
import math
import numpy as np
import cv2
import torch
# ------... | bassem-mostafa/Self-Localization | script(s)/Self_Localization_Yolo_V3.py | Self_Localization_Yolo_V3.py | py | 8,140 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.localtime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.getmtime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.sep.join",
"... |
14736877484 | #%%
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import growth.model
import growth.viz
colors, palette = growth.viz.matplotlib_style()
# Load the data
mass_fracs = pd.read_csv('../data/supplement_figure_data/yeast_ribosomal_mass_fractions.csv')
elong = pd.read_csv('... | cremerlab/flux_parity | code/FigS5_yeast.py | FigS5_yeast.py | py | 3,736 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "growth.model.viz.matplotlib_style",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "growth.model.viz",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "growth.model",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pan... |
12025314528 | from argparse import ArgumentParser
from debias.modules import clf_debias_loss_functions
from debias.modules import qa_debias_loss_functions
def add_general_args(parser: ArgumentParser):
"""Arguments that are common between all experiments"""
parser.add_argument("--output_dir", "-o", default=None,
... | chrisc36/debias | debias/utils/cli_utils.py | cli_utils.py | py | 1,999 | python | en | code | 52 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "debias.modules.clf_debias_loss_functions.Plain",
"line_number": 27,
"usage_type": "call"
... |
9312059478 | import math
import itertools
from imgdedup import color
from imgdedup.color import Color
DIRECTIONS = list(itertools.product((-1, 0, 1), repeat=2))
class Bitmap(object):
def __init__(self, bitmap):
self.bitmap = bitmap
self.width = len(bitmap[0])
self.height = len(bitmap)
def __it... | ytanay/duplicate-image-finder | imgdedup/bitmap.py | bitmap.py | py | 2,085 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.product",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "imgdedup.color.Color.average",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "imgdedup.color.Color",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "ma... |
69805650614 | import os
import cv2
import numpy as np
if __name__ == "__main__":
from object_detection import ObjectDetection
else:
from .object_detection import ObjectDetection
script_path = os.path.dirname(os.path.abspath(__file__))
def add_transparent_image(background, foreground, x_offset=0, y_offset=0):
bg_h, b... | hernancontigiani/camera-computer-vision | detection/image_overlap.py | image_overlap.py | py | 2,679 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.dstack",
"line... |
73041709493 | from __future__ import division
import numpy as np
from copy import deepcopy
import sys
from ._sdf import SDFRenderer
from ...gloo import (TextureAtlas, IndexBuffer, VertexBuffer)
from ...gloo import context
from ...gloo.wrappers import _check_valid
from ...ext.six import string_types
from ...util.fonts import _load... | LiuFang816/SALSTM_py_data | python/vispy_vispy/vispy-master/vispy/visuals/text/text.py | text.py | py | 17,851 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "gloo.TextureAtlas",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "io.load_spatial_filters",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "ext.six.strin... |
9830640450 | from cProfile import label
from importlib.metadata import entry_points
import string
import tkinter as tk
import aspose.slides as slides
import aspose.pydrawing as drawing
from PIL import ImageTk , Image
from tkinter import PhotoImage, filedialog
main = tk.Tk()
main.title("PPT to PdfConverter")
p1 = Photo... | shadmanshaikh/pdfcoverter | main.py | main.py | py | 1,887 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "tkinter.Tk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.PhotoImage",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
... |
5696798916 | __version__ = "0.0.1"
from typing import Any, Dict, List, Optional, TypeVar
from fastapi import FastAPI
from fastapi.openapi.docs import (
get_redoc_html,
get_swagger_ui_html,
get_swagger_ui_oauth2_redirect_html,
)
from starlette.requests import Request
from starlette.responses import HTMLResponse, JSONRe... | virajkanwade/fastapi_swagger2 | src/fastapi_swagger2/__init__.py | __init__.py | py | 5,674 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.List",
"li... |
26499209317 | from django.shortcuts import render, redirect
from books.models import Book
from django.core.paginator import Paginator
def books_view(request):
template = 'books/books_list.html'
catalog = Book.objects.all()
for book in catalog:
book.pub_date = book.pub_date.strftime('%Y-%m-%d')
context = {'c... | VyacheslavBakashov/Django_HW | 2.1-databases/models_list_displaying/books/views.py | views.py | py | 1,613 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "books.models.Book.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "books.models.Book.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "books.models.Book",
"line_number": 8,
"usage_type": "name"
},
{
"api_n... |
26405613457 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.read_csv("Virat_Kohli.csv")
# print(df.head())
# #? Total no of runs Kholi has scored
# print("Total runs: ", df["Runs"].sum())
# #? Find out the total no of balls he has faced
# print("Total balls faced: ", df["BF"].sum())
# #? Find out... | Kamalmandal2003/Winter-Training-Project | analysis.py | analysis.py | py | 2,741 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
28525080415 | from collections import Counter
data = sorted([int(line.strip()) for line in open("10/input.txt")] + [0])
count = Counter({0:1})
for i in data:
for j in range(i + 1, i + 4):
count[j] += count[i]
print(count[max(data) + 3])
| bcwood/adventofcode2020 | 10/part2.py | part2.py | py | 238 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 4,
"usage_type": "call"
}
] |
23711613336 | #!/bin/env python3
from math import log, ceil, floor, sqrt
from random import choice, randint
import time
import stream
# import hashing as hs
# import modulus_hashing as modh
################## Modulus-prime scheme ######################3
def hash_func_modulus_prime(N,a,p,x):
return ((a*x) % p) % N
#Can be _ver... | heben2/streaming_sketches_hashing_2016 | src/test_hashing.py | test_hashing.py | py | 5,689 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "math.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number"... |
32616979298 | import unittest
from unittest import mock
import pytest
from ScoutSuite.providers import get_provider
from ScoutSuite.providers.aws.authentication_strategy import AWSCredentials
from ScoutSuite.providers.base.authentication_strategy import AuthenticationException
from ScoutSuite.providers.base.authentication_strategy... | ryanmrestivo/red-team | cloud/ScoutSuite/tests/test_aws_provider.py | test_aws_provider.py | py | 4,343 | python | en | code | 91 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ScoutSuite.providers.base.authentication_strategy_factory.get_authentication_strategy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ScoutSuite.providers.aws.authenticat... |
22221329216 | from liner_system import com_linear_data
from noliner_system import com_nolinear_data
import matplotlib.pyplot as plt
if __name__ == '__main__':
ax1 = plt.subplot(211)
ax1.margins(0.05)
t1,x1,v1 = com_nolinear_data(5)
ax1.plot(t1, x1,'--',label='nolinear(5x)')
ax1.plot(t1, v1,'--',label='noline... | wangjunhe8127/Simulation_Nonlinear-Control-Systems | plot_file.py | plot_file.py | py | 1,330 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "noliner_system.com_nolinear_data",
"line_number": 12,
"usage_type": "call"
},
{
"api_... |
42256707279 | #-*- coding: utf-8 -*-
import maya.cmds as cmds
def getRenderableCameras():
cameraList = cmds.ls(ap=True,type='camera')
renderableCameraList = {}
for camera in cameraList:
if cmds.getAttr(camera+'.renderable'):
transforms = cmds.listRelatives(camera,f=True,parent=True,type='transform')
... | onexeno/Maya_Scripts | YM_Lib/common/YM_Camera_Ops.py | YM_Camera_Ops.py | py | 1,444 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "maya.cmds.ls",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "maya.cmds.getAttr",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": ... |
30596353695 | import json
import os
from collections import OrderedDict
from copy import deepcopy
import torch
import torch.distributed as dist
import torch.nn.functional as F
import torchvision.transforms as T
from tqdm import tqdm
from src.archs import define_network
from src.metrics import cal_metric
from src.models.base_model ... | hanchenchen/CCKS2022-track2-solution | src/models/bce_model.py | bce_model.py | py | 7,963 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "src.models.base_model.BaseModel",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "src.archs.define_network",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
209406050 | from django.test import TestCase
from django.contrib.auth import get_user_model
from .models import Snack
from django.urls import reverse
# Create your tests here.
class SnackTest(TestCase):
def setUp(self):
self.user = get_user_model().objects.create_user(
username='user',email='user@user.co... | Malek-Abdelal/django_crud_project | snacks/tests.py | tests.py | py | 2,151 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Snack.objects.create",
"line_number": 16,
"usage_type": "call"
},
{
... |
16074490739 | import sys
import pandas as pd
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QLineEdit, QPushButton, QVBoxLayout, QScrollArea
class MainWindow(QWidget):
def __init__(self):
super().__init__()
# 设置窗口图标
self.setWindowIcon(QIcon('favicon.ico'))
... | zzbcode/gaokao-score-college | 查可以上哪些大学.py | 查可以上哪些大学.py | py | 2,207 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5... |
36854673578 | from kivy.lang import Builder
from kivy.clock import Clock
from kivy.properties import StringProperty
from kivymd.uix.dialog import MDDialog
from kivymd.uix.boxlayout import MDBoxLayout
from kivymd.uix.gridlayout import MDGridLayout
Builder.load_string("""
<ContentInfoMessageBox>:
cols: 2
adaptive_height: True... | aprilahijriyan/kvuilder | kvuilder/data/templates/libs/components/messagebox.py | messagebox.py | py | 3,023 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "kivy.lang.Builder.load_string",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "kivy.lang.Builder",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "kivymd.uix.gridlayout.MDGridLayout",
"line_number": 86,
"usage_type": "name"
},
{
"... |
40175895435 | import yaml
from fyers_api import fyersModel
import datetime
import logging
from time import sleep
from multiprocessing import Process, Queue, Value
from dataFeed import DataFeed
from strategyLogic import StrategyLogic
from exchComm import ExchComm
from access_token import get_fyers_object
from globalEnums import Strat... | ShabbirHasan1/abcde | main.py | main.py | py | 4,442 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "access_token.get_fyers_object",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 32,
"usage_type": "call"
},
{
"api_nam... |
8443961590 | import argparse
import functools
import numpy as np
import tensorflow as tf
from tensorflow.contrib.boosted_trees.estimator_batch.estimator import GradientBoostedDecisionTreeEstimator
from tensorflow.contrib.boosted_trees.proto import learner_pb2
from tensorflow.contrib.boosted_trees.estimator_batch import custom_loss_... | clustersdata/finch | tensorflow-models/shallow/gbt_mnist.py | gbt_mnist.py | py | 3,063 | python | en | code | null | github-code | 21 | [
{
"api_name": "tensorflow.logging.set_verbosity",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.ops.math_ops.argmax",
"line_number": 18,
"usage_type": "call"
... |
3693951438 | #!/usr/bin/env python3
import tmdbsimple as tmdb
from requests import HTTPError
from datetime import datetime
from utils.config import get_config
from utils.logger import Logger
config = get_config()
log = Logger().get_log(__name__)
# Find by tmdb id
def _find_by_tmdbid(tmdb_id):
# Returns tmdb.Movies object
... | tinni123/Trailer-Technician | providers/tmdb.py | tmdb.py | py | 3,205 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.config.get_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.logger.Logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tmdbsimple.Movies",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests... |
922632654 | """ Mail """
# -*- coding: utf-8 -*-
import logging
from plone import api
from plone.app.contentrules.actions.mail import IMailAction
from plone.app.contentrules.actions.mail import MailAction
from plone.app.contentrules.actions.mail import MailActionExecutor
from plone.contentrules.rule.interfaces import IRuleElement... | eea/eea.meeting | src/eea/meeting/events/mail.py | mail.py | py | 3,224 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "plone.app.contentrules.actions.mail.IMailAction",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "plone.app.contentrules.actions.mail.MailAction",
"line_number": 23,
"us... |
16817920660 | """
Программе в качестве аргумента передаётся ссылка на сайт,
который она обходит и извлекает данные с возможностью
проксирования через гуглкэш
Usage:
crawler.py <url> [options]
Options:
-h --help справка
--use-google-cache использовать гуглкэш для парсинга сайта
--root-url=URL ... | bananacatsky/parser | crawler.py | crawler.py | py | 3,724 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "re.findall",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "re.DOTALL",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line... |
74861120371 | import datetime
import random
from module import Module
from assigned_module import AssignedModule
from award import Award
class Schedule:
# klasa planu
def __init__(self, awards_list: list = None):
self.schedule_dict = {}
self.today = datetime.date.today()
self.current_module = None
... | jakwiat/theGoodPlace | schedule.py | schedule.py | py | 4,175 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.date.today",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "award.Award",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
72163985972 | from sentence_transformers import SentenceTransformer
import datautils
import json
# MODEL_NAME = "all-MiniLM-L12-v2"
MODEL_NAME = "all-mpnet-base-v2"
OUTPUT_FILENAME = "sentences_emb.json"
def main():
print("Loading everything...")
dataset = datautils.load_dataset_mapping()
model = SentenceTransformer(MO... | disi-unibo-nlp/ddegk | src/sentence_similarity/sentence_embedding.py | sentence_embedding.py | py | 660 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datautils.load_dataset_mapping",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sentence_transformers.SentenceTransformer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 18,
"usage_type": "call"
}
] |
31947026906 | import matplotlib.pyplot as plt
import numpy as np
from ont_fast5_api.fast5_interface import get_fast5_file
import h5py
import os
import itertools
import glob
rDNA_ids = []
with open('1015_rDNA_reads.fastq') as f:
for items in itertools.zip_longest(*[iter(f)]*4):
rDNA_ids.append(items[0].split()[0][1:])
... | utrori/Nanopore_cas9 | raw_signal_analysis.py | raw_signal_analysis.py | py | 1,300 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.zip_longest",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
... |
37004805168 | import numpy as np
import matplotlib
# matplotlib.use('Agg')
import matplotlib.pyplot as plt
from SolarSail_Max import SolarSail_Max as Env
import A3C
import os
import sys
import pickle
if __name__ == '__main__':
random = True
train = 0
name = 'random' if random else 'static'
env = Env(random)
par... | Mrfive1001/ReinforcementLearning | 7 SolarSail_Maximum/main_a3c.py | main_a3c.py | py | 2,186 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "SolarSail_Max.SolarSail_Max",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "A3C.Para",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "A3C.A3C",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "SolarSail_Max.SolarSail_... |
18517226116 | """ tinyws: a tiny WebSocket implementation """
import socket
import hashlib
import threading
from base64 import b64encode
from enum import IntEnum
import codecs
clients = []
PORT = 7079 # 'py' in hex
"""WebSocket Close Codes"""
ERROR_NONE = 1000
ERROR_PEER = 1001
ERROR_PROTO = 1002
ERROR_BAD = 1003
ERROR_RSV = 100... | DamnedFacts/tinyws | tinyws.py | tinyws.py | py | 17,701 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "socket.timeout",
"line_number": 226,
"usage_type": "attribute"
},
{
"api_name": "base64.b64encode",
"line_number": 301,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 301,
"usage_type": "call"
},
{
"api_name": "codecs.getincrem... |
22916408980 | # -*- coding: utf-8 -*-
import os
import urllib2
import zipfile
import glob
import sqlite3
from dictmaster.util import mkdir_p, CancelableThread, FLAGS
from dictmaster.queue import RawDbQueue
DEFAULT_THREADCNT=6
class FetcherThread(CancelableThread):
uris = []
postdata = None
no = 0
_i = 0
_fla... | richfan/dictmaster | dictmaster/fetcher.py | fetcher.py | py | 7,526 | python | en | code | null | github-code | 21 | [
{
"api_name": "dictmaster.util.CancelableThread",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dictmaster.util.FLAGS",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "dictmaster.util.CancelableThread",
"line_number": 51,
"usage_type": "name"
},
... |
39408532766 | import data, os, pickle, utils
import numpy as np
from sklearn.svm import LinearSVC
from sklearn.preprocessing import StandardScaler
def formatFeatures(features):
features = np.array(features)
return features.reshape(features.shape[0], -1)
def picklename(colorspace, channel, orient, pix_per_cell, cell_per_b... | mholzel/VehicleDetection | pickler.py | pickler.py | py | 8,662 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "utils.features",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "data.get",
"line_number": 28... |
22568777511 | import os
import unittest
from io import BytesIO, StringIO
import networkx as nx
from dataprofiler.data_readers.data import Data
from dataprofiler.data_readers.graph_data import GraphData
test_root_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
class TestGraphDataClass(unittest.TestCase):
... | capitalone/DataProfiler | dataprofiler/tests/data_readers/test_csv_graph_data.py | test_csv_graph_data.py | py | 8,195 | python | en | code | 1,277 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
... |
20000268667 | import numpy as np
import peakutils
from scipy.fftpack import fft
from matplotlib import pyplot as plt
from peakutils.plot import plot as pplot
def FFTG(xInput, yInput):
xLength = int(len(xInput)) #determine length of the array
period = np.diff(xInput).mean() #determine period by the average of each element m... | IgnaceMenace/Orange3-Clockwork | peakutils_test.py | peakutils_test.py | py | 2,307 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.diff",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.fftpack.fft",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_numb... |
19642286335 | from os import environ
from json import load
from codecs import open
from collections import ChainMap
from unittest import TextTestRunner
from lib.suite import make_suites
with open('./tests/test_demo.json', encoding='utf-8') as f:
data = load(f)
def setup_hook_func(*args, **kwargs):
print('hooks: setup: ru... | zhengxs2018/simple-apitest | runtest.py | runtest.py | py | 872 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "codecs.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.ChainMap",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_numb... |
70019424692 | from django.urls import path
from .views import *
app_name = 'venda'
urlpatterns = [
path('teste_vendas', teste_vendas, name='teste_vendas'),
path('vendas', vendas, name="vendas"),
path('cadastraProduto', cadastraProduto, name="cadastraProduto"),
path('deletaProdutoVenda/<int:id>/<int:page>', deletaPr... | alexantos/venda | venda/urls.py | urls.py | py | 361 | python | pt | code | 0 | github-code | 21 | [
{
"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",
... |
23873801420 | """
Player class.
Player contains all behavior related to the player sprite. This
includes some logic related to the controller though most of that
is delegated to its own class.
"""
import pygame
from base.color import Color
from debug import DEBUG
import configs as conf
from configs import PLAYER as P
from .jump... | andrewtremblay/platform-mechanics | src/sprites/player.py | player.py | py | 6,390 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.sprite",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "configs.PLAYER.INITIAL",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "configs.PLAYER",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "configs... |
20661156111 | ## Test Target
from alcustoms.sql.objects import Table
## Test Framework
import unittest
## Testing Utils
from alcustoms.sql.tests import utils
## This module
from alcustoms.sql import constants, objects
from alcustoms.sql.objects import Connection
## Builtin
import collections
import itertools
class TableConstru... | AdamantLife/alcustoms | alcustoms/sql/tests/objects/test_Table.py | test_Table.py | py | 44,997 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "alcustoms.sql.tests.utils.setupconnection",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alcustoms.sql.tests.utils",
"line_number": 20,
"usage_type": "name"
},... |
25421425841 | import asyncio
import logging
import os
import subprocess
from typing import Dict
from ..channel import ChannelError, ProtocolChannel
from ..transports import SubprocessProtocol, SubprocessTransport
logger = logging.getLogger(__name__)
class SocketStreamChannel(ProtocolChannel):
payload = 'stream'
async de... | Cdaprod/cockpit | src/cockpit/channels/stream.py | stream.py | py | 5,708 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "channel.ProtocolChannel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "asyncio.AbstractEventLoop",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name... |
75136549493 | from typing import Callable, Iterable
from lifecycle.config import Config
from lifecycle.infrastructure.infra_target import remote_shell
from lifecycle.monitor.base import JobMonitor
from lifecycle.monitor.health import check_until_job_is_operational, quick_check_job_condition
from lifecycle.monitor.metric_parser impo... | TheRacetrack/plugin-remote-kubernetes | src/monitor.py | monitor.py | py | 5,179 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "racetrack_client.log.logs.get_logger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lifecycle.monitor.base.JobMonitor",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "plugin_config.InfrastructureConfig",
"line_number": 25,
"usage_typ... |
41270203583 | #!/Library/Frameworks/Python.framework/Versions/2.7/bin/python
import numpy as np
import sys
import scipy
from scipy import stats
data_file = sys.argv[1]
data = np.loadtxt(data_file)
slope, intercept, r_value, p_value, std_err = stats.linregress(data[499:2499,0], data[499:2499,1])
nf = open('linear_reg.dat', 'w')
... | rbdavid/MolecDynamics | Analysis/MSD/slope.py | slope.py | py | 754 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadtxt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.stats.linregress",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"... |
496821968 | import os
from datetime import timedelta
from airflow.utils.dates import days_ago
from airflow.models import Variable
LOCAL_PATH_DATA = Variable.get("LOCAL_PATH_DATA")
DOCKER_PATH_DATA = Variable.get("DOCKER_PATH_DATA")
LOCAL_PATH_BEST_MODEL = Variable.get("LOCAL_PATH_BEST_MODEL")
DOCKER_PATH_BEST_MODEL = Variable.g... | made-ml-in-prod-2021/n0rdream | airflow_ml_dags/dags/global_variables.py | global_variables.py | py | 1,111 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "airflow.models.Variable.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "airflow.models.Variable.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_... |
7284509727 | # coding: utf-8
from werkzeug import cached_property
from marco.ext import dot
class Container(object):
def __init__(self, id, container_id, port, host_id, ident_id, app_name, version, sub_app):
self.id = id
self.container_id = container_id
self.port = port
self.host_id = host_i... | tonicbupt/marco | marco/models/container.py | container.py | py | 1,477 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "marco.ext.dot.get_container",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "marco.ext.dot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "marco.ext.dot.get_containers",
"line_number": 30,
"usage_type": "call"
},
{
"api_name":... |
4649471717 | import tensorflow as tf
from tensorflow import keras
import tensorflow_probability as tfp
from gym import Space, spaces
from .utils import to_batchtensor
class SquashedDiagGaussian:
def __init__(self, mu, std, epsilon=1e-6):
"""
Guassian distribution with tanh squashing
Parameters
... | NiranjanBhujel/ECE591-Project | code/sac_algo/policies.py | policies.py | py | 4,260 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow_probability.distributions.Normal",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow_probability.distributions",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.math.tanh",
"line_number": 28,
"usage_ty... |
40761180257 | import pytest
from data_structures_algorithms.data_structures.hashing.hash_map import HashMap
def test_construct():
HashMap()
HashMap(initial_capacity=100)
HashMap(hash_func_name="my_add_hash")
def test_set_get():
hash_map = HashMap()
hash_map["a"] = 1
assert hash_map["a"] == 1
def test_si... | yezhengkai/data-structures-and-algorithms | python/tests/test_hashing.py | test_hashing.py | py | 610 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "data_structures_algorithms.data_structures.hashing.hash_map.HashMap",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "data_structures_algorithms.data_structures.hashing.hash_map.HashMap",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "data_struct... |
34901607145 | import json
import os
from pathlib import Path
from typing import Tuple
# open a pdf with pydf2
import PyPDF2
from loguru import logger
class FileHandler:
@staticmethod
def read_file(file_path: str):
with open(file_path, "r") as f:
return f.read()
@staticmethod
def save_dic_as_j... | spacewaterbear/cr-analysis | utils/file_handler.py | file_handler.py | py | 2,180 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "loguru.logger.info",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "loguru.logger.info",
"... |
18799936954 | import os
import numpy as np
import matplotlib.pyplot as plt
img_dir = '../../noise2noise-pytorch/cifar/test'
f = np.random.choice(os.listdir(img_dir))
img = np.uint8(plt.imread(os.path.join(img_dir, f)) * 255)
fig, axs = plt.subplots(1, 4, figsize=(15, 4))
axs[0].imshow(img)
axs[0].set_xticks([])
axs[0].set_yticks... | hauserkristen/adversarial_denoising | denoising/poisson_shot_noise.py | poisson_shot_noise.py | py | 956 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.random.choice",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line... |
37816023088 | import json
from pathlib import Path
import numpy as np
from keras.preprocessing import image, to_categorical
def gen_npy(n_use):
video_dir = Path('~/dataset/video00').expanduser()
frame_dir = video_dir / 'frames/'
info_path = video_dir / 'info.json'
img_paths = sorted(frame_dir.iterdir())
info =... | amoshyc/tthl | data/gen_npy.py | gen_npy.py | py | 1,370 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22... |
40756868192 | from sqlalchemy import create_engine
import re
from pandas import Series, DataFrame, concat
import pandas as pd
from pymongo import MongoClient
import subprocess as t
import logging
from logging.config import fileConfig
import configparser
fileConfig('logger_config.ini')
logger=logging.getLogger('infoLogger')
class L... | yyztc/itop | load_dbserver.py | load_dbserver.py | py | 4,346 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.config.fileConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
42510562754 | from selenium import webdriver
import time
import pandas as pd
import numpy as np
from bs4 import BeautifulSoup
import requests
import re
import copy
class LinkedInData:
"""Crawl data from LinkedIn webpage
jobKeyword: job type name
timeCrawl: time for scrolling down the webpages
headers: ... | Grace171/LinkedInJobAd | crawler.py | crawler.py | py | 3,771 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Safari",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.ti... |
18403804869 | import itertools; import math; import operator; import random; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from functools import reduce; from heapq import *; import unittest; from typing import List;
def get_sol(): return Solution()
class Solution:
def balancedString(self... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc1234.py | lc1234.py | py | 1,802 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 23,
"usage_type": "attribute"
}
] |
73913500213 | from fastapi import FastAPI, Request, UploadFile, File, Form
from fastapi.templating import Jinja2Templates
import os
import shutil
import uvicorn
import tracemoepy
import asyncio
import requests
import time
app = FastAPI()
templates = Jinja2Templates(directory="src/templates")
tracemoe = tracemoepy.tracemoe.TraceMoe(... | ArshdeepGadhri/SauceApp | base.py | base.py | py | 2,914 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.templating.Jinja2Templates",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tracemoepy.tracemoe.TraceMoe",
"line_number": 13,
"usage_type": "call"
},
{
"a... |
72513481973 | import argparse
from parameters import is_response_successful , list_parameters , list_contents_of_parameter
parser = argparse.ArgumentParser()
parser.add_argument('--parameter', default=False)
args = parser.parse_args()
def main():
parameter_name = args.parameter
parameters = list_parameters()
parame... | deniz-icin/aws-ssm-lister | app/cli.py | cli.py | py | 621 | python | fa | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "parameters.list_parameters",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "parameters.list_contents_of_parameter",
"line_number": 15,
"usage_type": "call"
}
] |
19759922549 | import itertools
import os
import sys
import random
import math
import dill as pickle
import csv
import json
import multiprocessing
import numpy as np
from collections import Counter
from collections import defaultdict
from pathlib import Path
from random import shuffle
import re
import string
def save_model(file_pat... | Priyansh2/music_classification | scripts/spotify_album_genres.py | spotify_album_genres.py | py | 3,151 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dill.dump",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dill.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 41,
... |
72512187893 | from datetime import date
from datetime import datetime
def getCountTable(table):
a = 0
for i in table:
a = a + 1
print(a)
return a
def getDays():
curdate = datetime.today()
l_date = date(curdate.year, curdate.month, curdate.day)
a = l_date.day
b = l_date.month
if (b == 1... | debervill/asutermflask | data_func.py | data_func.py | py | 1,698 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
28201169530 | import sys
sys.path.append('../../') #this to include the parent directory
from beeBrain.geneticAlgorithm import GeneticAlgorithm
import matplotlib.pyplot as plt
import numpy as np
N_MOVES = 150
DNA_SIZE = N_MOVES*2 # 40 x moves, 40 y moves
DIRECTION_BOUND = [0, 1]
CROSS_RATE = 0.8
MUTATE_RATE = 0.0001
POP_SIZ... | devhima/beeBrain | samples/ga_samples/find_path_sample.py | find_path_sample.py | py | 2,450 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "beeBrain.geneticAlgorithm.Gen... |
74207800694 | import argparse
import csv
import os
import matplotlib.pyplot as plt
import torch
from matplotlib.animation import FuncAnimation
from torch import Tensor, nn
class Args(argparse.Namespace):
depth: int
width: int
use_positional_encoding: bool
pe_mode: str
pe_num_bands: int
output_dir: str
... | dylanhu7/apma1941d | expressivity/expressivity.py | expressivity.py | py | 8,427 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.Namespace",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module... |
39398442486 | def predict_gen(meta1):
import pickle
import os
import numpy as np
from django.conf import settings
from keras.models import load_model
model = load_model('F:\Music_recomend_project\Music_recommendations_system\MusicRecommend\model10.sav')
d1 = np.array([meta1])
result = mode... | MNiz-iz/Music_recomendation_web-app | Music_recomend_project/Music_recommendations_system/MusicRecommend/predictor.py | predictor.py | py | 963 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "keras.models.load_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 14,
"usage_type": "call"
}
] |
42376460784 | from flask import flash
def flash_form_errors(form):
""" Flashes all form errors individually
:param form: WTF form
:return:
"""
for field, errors in form.errors.items():
for error in errors:
flash('{0}: {1}'.format(field, error))
| UgiR/UIC-PEC | PEC/utils.py | utils.py | py | 274 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.flash",
"line_number": 12,
"usage_type": "call"
}
] |
3686712564 | import pygame
import sys
import random
import unicodedata
class grafo():
def __init__(self, win, ancho, alto):
pygame.init()
self.ancho = ancho
self.alto = alto
self.terminar_grafo= False
self.tam_mapa_ancho = 474
self.tam_mapa_alto = 655
self.user_text = ... | Jassy0205/TAD_2.0 | grafos.py | grafos.py | py | 40,789 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_num... |
25241585720 | import numpy
import cv2
import math
import copy
import itertools
from scipy import ndimage
class Corners(object):
def find_chessboard_coordinates(self, image_path):
###GFTT
img = cv2.imread(image_path)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
corners = cv2.goodFeaturesToTr... | DariaDanilova/camera_calibration | chessboard_corners/chessboard_corners.py | chessboard_corners.py | py | 14,443 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cv2.goodFeaturesToTra... |
793805858 | #!/usr/bin/env python
# @@ google
# @T type google
# @T category google
import sys
import json
def procln(ev):
ret = {'valid': False, 'name': 'google'}
if 'utctimestamp' not in ev:
return ret
ret['timestamp'] = ev['utctimestamp']
if 'details' not in ev:
return ret
if 'events_name'... | ameihm0912/geomodel | plugin/google.py | google.py | py | 834 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.stdin.read",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.write",
"line... |
22507558575 | from sqlalchemy import inspect
def object_as_dict(obj: object):
"""
Returns an object as a dictionary by list comprehension
Parameters:
obj (obj): The object to be converted into a dictionary
Returns:
dict (dict): A dictionary based on the object
"""
return {
... | SkinnyPigeon/serums_api | components/utils/convert_to_dicts.py | convert_to_dicts.py | py | 1,263 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.inspect",
"line_number": 14,
"usage_type": "call"
}
] |
1827615897 | import winsound
import time
import multiprocessing as mp
import keyboard
def play(v):
while(1):
sleep_time = v.value
print('sleeping for ',sleep_time)
time.sleep(sleep_time)
winsound.PlaySound("sound.wav", winsound.SND_LOOP)
def change(v):
while True:
try:
i... | nm011/dynamic-beats | beats.py | beats.py | py | 867 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "winsound.PlaySound",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "winsound.SND_LOOP",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "keyboard.is_pres... |
30623901809 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
/***************************************************************************
Scripts for Msc of Giovana in LAPIG(University of Goias)
***************************************************************************/
/*******************************************************... | lmotta/lapig_msc_giovana | cap_04/motta_2021d/mapbioma_tendences_mk_reduce.py | mapbioma_tendences_mk_reduce.py | py | 7,335 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "osgeo.gdal.UseExceptions",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "osgeo.gdal.PushErrorHandler",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "osgeo... |
32467633186 | from django.conf import settings
from django.contrib.auth.models import AbstractUser
from django.db import models
class User(AbstractUser):
"""Кастомный пользователь с дополнительными полями."""
username = models.CharField(
max_length=settings.MAX_LENGTH_USER,
unique=True,
verbose_name... | naelsa/api_yamdb | api_yamdb/users/models.py | models.py | py | 1,737 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"... |
21364233168 | from dataclasses import _get_field
import typing
from typing import Type
from ipv8.messaging.lazy_payload import VariablePayload
from ipv8.messaging.serialization import default_serializer, Serializable
def get_cls_fields(cls):
cls_annotations = cls.__dict__.get("__annotations__", {})
# Now find fields in o... | grimadas/bami | src/bami/backbone/payload.py | payload.py | py | 3,809 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dataclasses._get_field",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Type",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "ipv8.messaging.serialization.Serializable",
"line_number": 33,
"usage_type": "name"
},
{
"api_... |
42630867623 | from selenium import webdriver
class Item(object):
ip = None
port = None
anonymous = None
type = None
local = None
speed = None
class GetProxy(object):
def __init__(self):
'''
初始化
'''
self.starturl = "http://www.kuaidaili.com/free/inha/"
self.urls... | SmallBlackBeans/pythonPractice | hello/爬虫/练习/爬取快代理/kuaiProxy.py | kuaiProxy.py | py | 1,842 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.PhantomJS",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 33,
"usage_type": "name"
}
] |
24896292116 | import os
from pathlib import Path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
import firebase_admin
from firebase_admin import credentials
cred_path = os.path.join(BASE_DIR, "static", "apikey.json")
cred = credentials.Certificate(cred_path)
fi... | LFabris6/VoucheriWeb | adriaticweb/settings.py | settings.py | py | 4,002 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "firebase_admin.credentials.Cert... |
42499668078 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='j-funcutils',
version='0.0.5',
author="Juan Manuel Camara Diaz",
author_email="juanma.caaz@gmail.com",
description="A basic cost time calculator",
url="https://github.com/juan... | juanmacaaz/FuncUtils | setup.py | setup.py | py | 556 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
5751618519 | from socket import *
import helper
host = '127.0.0.1'
port = 50008
while True:
sock = helper.tcp()
print('key in message :')
msg = input()
if msg.lower() == 'q':
break
conn = sock.connect((host,port))
byte_arr = msg.encode(encoding='utf-8')
sock.send(byte_arr)
buff ... | iorilan/py_tiny_apps_playground | tcp/01/tcp_client.py | tcp_client.py | py | 435 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "helper.tcp",
"line_number": 8,
"usage_type": "call"
}
] |
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