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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
37530746951 | from django.core.management.base import BaseCommand
from assessment.models.assessment_model import AssessmentType
class Command(BaseCommand):
help = 'Creates initial Assessment Types'
def handle(self, *args, **options):
# Creating 'Homework' AssessmentType
homework, created = AssessmentType.ob... | markoco14/student-mgmt | assessment/management/commands/create_assessment_types.py | create_assessment_types.py | py | 959 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "assessment.models.assessment_model.AssessmentType.objects.get_or_create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "assessment.models.assessment_model.... |
17609833661 | # encoding: utf-8
from django.urls import reverse
from rest_framework import serializers
from mainsite.serializers import StripTagsCharField
from mainsite.utils import OriginSetting
class ExternalToolSerializerV1(serializers.Serializer):
name = StripTagsCharField(max_length=254)
client_id = StripTagsCharFi... | reedu-reengineering-education/badgr-server | apps/externaltools/serializers_v1.py | serializers_v1.py | py | 1,636 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mainsite.serializers.StripTagsCharField",
"line_number": 12,
"usage... |
13131048154 | import psycopg2
import datetime
import time
import sys
import requests
import scipy.io.wavfile
import json
import vokaturi.Vokaturi as Vokaturi
Vokaturi.load("./vokaturi/OpenVokaturi-3-3-linux64.so")
from ms_text_analysis import *
from cassandra_test import *
MSSp = MSSpeechToText()
MST = MSTextAnalysis()
MSAD = M... | raid-7/SmartDiary | backend/main.py | main.py | py | 9,127 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "vokaturi.Vokaturi.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "vokaturi.Vokaturi",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scipy.io.wavfile.io.wavfile.read",
"line_number": 24,
"usage_type": "call"
},
{
"api_nam... |
42896231712 | import math
from functools import partial
from typing import Any, Callable
import jax
import jax.numpy as jnp
from chex import ArrayTree
from jax import tree_map, vmap
from jax.scipy.special import logsumexp
from ..resamplings import multinomial
STATE = Any
@partial(jax.jit, static_argnums=(2, 3, 4), donate_argnum... | AdrienCorenflos/aux-ssm-samplers | aux_samplers/_primitives/csmc/pit/operator.py | operator.py | py | 5,444 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "typing.Any",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "chex.ArrayTree",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_numb... |
21247144104 | from datetime import timedelta
from airflow import DAG
from airflow.operators.dummy import DummyOperator
from airflow.providers.docker.operators.docker import DockerOperator
from airflow.sensors.filesystem import FileSensor
from directories import (
VOLUME_PATH, LAST_MODEL_DIR, PREDICTIONS_DIR,
RAW_DATA_DIR, ... | made-ml-in-prod-2021/truengineer | airflow_ml_dags/dags/predict_daily.py | predict_daily.py | py | 1,982 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "directories.START_DATE",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "airflow.operato... |
37598101859 | import pytz
from sqlalchemy.orm import Session
import models
import schemas
def create_module_build(db: Session, build: schemas.ModuleBuild):
print(build)
db_build = models.ModuleBuild(
module=build.module,
build_time=build.build_time,
result=build.result,
finished_at=build.f... | fresch/maven-build-tracker | crud/CreateBuild.py | CreateBuild.py | py | 555 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "schemas.ModuleBuild",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.ModuleBuild",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytz... |
17609874011 | # encoding: utf-8
from django.core.management import BaseCommand
from issuer.models import BadgeClass
class Command(BaseCommand):
def add_arguments(self, parser):
parser.add_argument(
'--limit',
type=int,
help='Number of model instances to process in a batch',
... | reedu-reengineering-education/badgr-server | apps/issuer/management/commands/populate_image_hashes.py | populate_image_hashes.py | py | 1,279 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "issuer.models.BadgeClass",
"line_number": 17,
"usage_type": "name"
}
] |
70818525948 | import speech_recognition as sr
import multiprocessing as mp
import os
import time
def func(n):
print("Task {} convert successfully".format(n))
speechToText()
time.sleep(2) #simulate processing or server return time
print("Task {} has been done now.".format(n))
def speechToText():
r = sr.... | CHAODENG/Project4 | project4.py | project4.py | py | 1,144 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "speech_recognition.AudioFile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
40087266458 | import os
from meteo_ist.models import meteo_data, range_data
from django.utils.dateparse import parse_date
def upload_db(data):
for i in range(0, len(data['datetime'])):
date = parse_date(data['datetime'][i]) # parse string do date format
pp = data['data']['pp'][i]
pres = data['data'][... | sandroferreira97/meteo_ist | meteo_ist/services.py | services.py | py | 632 | python | tr | code | 0 | github-code | 6 | [
{
"api_name": "django.utils.dateparse.parse_date",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "meteo_ist.models.meteo_data",
"line_number": 18,
"usage_type": "call"
}
] |
74341979708 | from collections import deque
count = int(input())
dataDeque = deque(list(range(1, count+1)))
while True:
if len(dataDeque) == 1:
print(dataDeque[0])
break
dataDeque.popleft()
dataDeque.append(dataDeque.popleft())
| KingPiggy/PS | Baekjoon/큐, 덱/2164번 카드2.py | 2164번 카드2.py | py | 255 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
}
] |
197603537 | from time import sleep
import pygame
from bullet import Bullet
from alien import Alien
import aliens_functions as af
# 检测精灵碰撞
def check_bullet_alien_collisions(ai_settings, screen, stats, sb, ship,
aliens, bullets):
"""响应子弹和外星人的碰撞"""
# 检查是否有子弹击中了外星人
# 如果是这样，就删除相应的子弹和外星人
collisions = pygame.s... | wanwan2qq/alien_invasion | collisions_functions.py | collisions_functions.py | py | 2,042 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite.groupcollide",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "aliens_functions.create_fleet",
"line_number": 42,
"usage_type": "call"
},
{
"api_n... |
16312390211 | from typing import NamedTuple
import tensorflow.compat.v2 as tf
import tensorflow_datasets as tfds
class LanguageDataset(NamedTuple):
records: tf.data.Dataset
vocab_size: int
def load(batch_size: int, sequence_length: int) -> LanguageDataset:
"""Load LM1B dataset, returning it and vocab_size."""
ds, ds_inf... | ChrisWaites/data-deletion | src/adaptive_deletion/nlp/transformer/dataset.py | dataset.py | py | 1,313 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "typing.NamedTuple",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tensorflow.compat.v2.data",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.compat.v2",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "te... |
43566450593 | import requests
from pprint import pprint
import os
SHEET_ENDPOINT = "https://api.sheety.co/a65d37e4e4c4751b050905bbc69d2c13/myFlightDeals/prices"
HEADERS = {
"Authorization":os.environ.get("AUTH"),
"Content-Type":"application/json",
}
USR_ENDPOINT = os.environ.get("SHEET_ENd")
class DataManager:
#This cl... | HazorTremz/FlightDealFinder | data_manager.py | data_manager.py | py | 1,077 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
44018209186 | import numpy as np
from modAL.models import ActiveLearner
from modAL.multilabel import SVM_binary_minimum
from sklearn.multiclass import OneVsRestClassifier
from sklearn.svm import LinearSVC
n_samples = 500
X = np.random.normal(size=(n_samples, 2))
y = np.array([[int(x1 > 0), int(x2 > 0)] for x1, x2 in X])
n_initial ... | modAL-python/modAL | tests/example_tests/multilabel_svm.py | multilabel_svm.py | py | 981 | python | en | code | 2,058 | github-code | 6 | [
{
"api_name": "numpy.random.normal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
... |
20615061350 | '''test conf'''
import os
import datetime
from tokenleaderclient.rbac import wfc
from flexflow.configs.config_handler import Configs
from flexflow.dbengines.sqlchemy.models import dbdriver
test_data_path = os.path.join(os.path.dirname(__file__),
os.pardir, 'tests', 'testdata')
tes... | BhujayKumarBhatta/flexflow | flexflow/configs/testconf.py | testconf.py | py | 2,682 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.pardir",
"line_number":... |
17215982737 | # coding: utf-8
import cv2
import dlib
import sys
import face_recognition
import numpy as np
import os
def getdemo(face_file_path):
# 导入人脸检测模型
print("当前检测图片为：",face_file_path)
predicter_path ='shape_predictor_68_face_landmarks.dat'
detector = dlib.get_frontal_face_detector()
# 导入检测人脸特征点的模型
sp =... | u19900101/ImgManage | pythonModule/python/saveFace.py | saveFace.py | py | 2,892 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dlib.shape_predictor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.imdecode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nump... |
70777898428 | import torch
import numpy as np
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from torch import optim, nn
from DQN import DQN
import torch.nn.functional as F
class Agent:
def __init__(self, input_size, output_size, device='cpu', learning_rate= 0.001, gamma=0.99, epsilon=0.6, epsilon_min=0.01, epsi... | stefanos50/DQN-Trading-Agent | Agent.py | Agent.py | py | 4,449 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "DQN.DQN",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "DQN.DQN",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 16,... |
33208629801 | from django.shortcuts import render
from django.views.generic.base import View
from .models import course
from pure_pagination import Paginator, PageNotAnInteger, EmptyPage
# Create your views here.
class CourseListView(View):
def get(self, request):
all_course = course.objects.all()
fav_course = ... | LittleBirdLiu/MXonline_Task | apps/course/views.py | views.py | py | 1,955 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.base.View",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.course.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.course.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
... |
18842937658 | # -*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import random
from collections import deque
import gym
from gym.envs.registration import register
import math
import DQN as dqn
register(
id='CartPole-v1565',
entry_point='gym.envs.classic_control:CartPoleEnv',
# 'wrapper_config.TimeLimit.m... | craclog/DQN_Cartpole | DQN_Cartpole.py | DQN_Cartpole.py | py | 4,122 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "gym.envs.registration.register",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
... |
30918805074 | """
Template for generic Benchmark Test Case Workflow
"""
import sys
import json
import copy
from datetime import datetime
import pandas as pd
def build_iterator(**kwargs):
"""
For building the iterator of the benchmark
"""
iterator = [(2,'dummy'), (2, 'dummy2'), (4, 'dummy'), (2, 'dummy4')]
ret... | NEASQC/WP3_Benchmark | tnbs/templates/my_benchmark_execution.py | my_benchmark_execution.py | py | 8,070 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.n... |
5792679797 | import json
import os
import magic
from io import BytesIO
from django.conf import settings
from django.core.exceptions import ValidationError
from django.core.files.base import ContentFile
from django.core.files.storage import default_storage as storage
from django.db import models
from django.db.models.fields.related... | lotrekagency/camomilla | camomilla/models/media.py | media.py | py | 7,378 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "hvad.models.TranslatableModel",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "hvad.models.TranslatedFields",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.db.models.CharField",
"line_number": 23,
"usage_type": "call"
},
{
... |
31180641489 | import dash
import math
from flask import Markup
from flask import render_template
import matplotlib.pyplot as plt
from flask import Flask, jsonify, request
from dash.dependencies import Output, Event, Input
import dash_core_components as dcc
import dash_html_components as html
import plotly
import random
import plotly... | ravirajsingh-knit/real-time-twitter-sentiment-analysis | main task/api2.py | api2.py | py | 1,656 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"li... |
22426413086 | from flask import Flask, request, jsonify
import requests
import json
import os
import feedparser
from dotenv import load_dotenv
import random
from datetime import date
load_dotenv()
app = Flask(__name__)
@app.route("/", methods=["GET", "POST"])
def root_post():
print(request)
return jsonify(text="リクエスト成功")
... | tamanobi/benri-slackbot | index.py | index.py | py | 2,926 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "flask.jsonify",
... |
23561493561 | import scipy
import datetime
import matplotlib.pyplot as plt
import sys
from loader import DataLoader
import numpy as np
import os
from keras.datasets import mnist
from keras_contrib.layers.normalization.instancenormalization import InstanceNormalization
from keras.layers import Input, Dense, Reshape, Flatten, Dropout,... | faniyamokhayyeri/C-GAN | cgan.py | cgan.py | py | 6,395 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "loader.DataLoader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.optimizers.Adam",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.discriminator.build_discriminator",
"line_number": 34,
"usage_type": "call"
},
{
"... |
12772858510 | import argparse
import os
import logging
import numpy as np
import pandas as pd
import tensorflow as tf
from .model import (
rnn_regression_model,
rnn_classification_model,
compile_regression_model,
compile_classification_model,
)
from .transform import (
sequence_embedding,
normalize, denor... | srom/rna_learn | rna_learn/archive/rnatemp_main.py | rnatemp_main.py | py | 6,687 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "argparse.Argu... |
7029192101 | import argparse
import time
import os
import cv2
import numpy as np
from tqdm import tqdm
import torch
import torch.nn as nn
from torchvision.utils import save_image
from torch.utils.data import DataLoader
from torch.autograd import Variable
import models_x
class ImageAdaptive3DModel(nn.Module):
def __init__(se... | shaunhwq/Image-Adaptive-3DLUT | demo_3dlut.py | demo_3dlut.py | py | 5,091 | python | en | code | null | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models_x.Classifier",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models_x.Generator3... |
43969738146 | #!/usr/bin/env python
import argparse
import sys
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from Bio.SeqFeature import FeatureLocation
from CPT_GFFParser import gffSeqFeature, gffWrite
bottomFeatTypes = ["exon", "RBS", "CDS"]
def makeGffFeat(inFeat, num, recName, identifier):
if inFeat.type == "R... | TAMU-CPT/galaxy-tools | tools/gbk/gbk_to_gff3.py | gbk_to_gff3.py | py | 13,589 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "CPT_GFFParser.gffSeqFeature",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO... |
31235810811 | from django.urls import path, include
from rest_framework import routers
from aluraflix.views import VideoViewSet, CategoriaViewSet, CategoriaVideosViewSet, VideosFreeViewSet
router = routers.DefaultRouter()
router.register('videos', VideoViewSet, basename='videos')
router.register('categorias', CategoriaViewSet, bas... | diegoamferreira/challange_alura_be1 | aluraflix/urls.py | urls.py | py | 580 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "aluraflix.views.VideoViewSet",
"line_number": 7,
"usage_type": "argument"
},
... |
3919544072 | # standard python libraries
import os
import re
import csv
import json
import operator
import statistics
import collections
from operator import itemgetter
# custom libraries
from webxray.Analyzer import Analyzer
from webxray.Utilities import Utilities
class Reporter:
"""
Manages the production of a number of CSV ... | thezedwards/webXray | webxray/Reporter.py | Reporter.py | py | 30,709 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "webxray.Utilities.Utilities",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "webxray.Analyzer.Analyzer",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "webxray.SQLiteDriver.SQLiteDriver",
"line_number": 49,
"usage_type": "call"
},
... |
1741943302 | import typing
from typing import Optional, Tuple, Any, Type, Dict
import numpy as np
from .mode import Q
from piquasso.core import _mixins
from piquasso.api.exceptions import PiquassoException, InvalidProgram
if typing.TYPE_CHECKING:
from piquasso.api.program import Program
class Instruction(_mixins.DictMixin,... | Budapest-Quantum-Computing-Group/piquasso | piquasso/api/instruction.py | instruction.py | py | 5,969 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "piquasso.core._mixins.DictMixin",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "piquasso.core._mixins",
"line_number": 14,
"usage_type": "name"
},
{
... |
36246067579 | from flask import Flask, request, render_template
from flask_cors import CORS
from waitress import serve
def response(code, message, data=None):
# code=0 for success, code=1 for fail
return {'code': code, 'message': message, 'data': data}
class CustomFlask(Flask):
jinja_options = Flask.jinja_options.cop... | nofear195/flask-vue-project-template | main.py | main.py | py | 1,179 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.Flask.jinja_options.copy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.Flask.jinja_options",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_nam... |
30728272330 | import fileinput,re
from collections import defaultdict
def signum(x): return 1 if x > 0 else (0 if x == 0 else -1)
p1, p2 = defaultdict(lambda: 0), defaultdict(lambda: 0)
ll = [l.strip() for l in fileinput.input()]
for l in ll:
x1, y1, x2, y2 = map(int, re.findall("\d+", l))
xx, yy = signum(x2 - x1), sign... | mdaw323/alg | adventofcode2021/5.py | 5.py | py | 592 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 12,
"usage_type": "call"
}
] |
72999750909 | import re
import json
import requests
from bs4 import BeautifulSoup
from lxml import etree
from pyquery import PyQuery as pq
from Alion_Crawl.CRAW_FUNCTION.request import *
headers = {
'User-Agent':'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 M... | if-always/Alion-Crawl | CRAW_FUNCTION/all_functions.py | all_functions.py | py | 3,822 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyquery.PyQuery",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_n... |
27189531533 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 11 23:16:08 2018
@author: Chat
"""
import pip
def install():
pip.main(['install', 'beautifulsoup4'])
pip.main(['install', 'weather-api'])
pip.main(['install', 'urllib3'])
import datetime
from urllib.request import urlopen
from bs4 import B... | jcsumlin/weather-bot | weather_pjt.py | weather_pjt.py | py | 3,467 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pip.main",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pip.main",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pip.main",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number":... |
36647090017 | import pickle
import os
import sys
import pprint
import tempfile
import warnings
import gridfs
from pymongo import MongoClient
from bson import ObjectId
from datetime import datetime
import torch
from sacred import Experiment
from sacred.observers import MongoObserver
def add_mongodb(ex: Experiment):
uri = get_m... | berleon/mlproject | mlproject/db.py | db.py | py | 7,422 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sacred.Experiment",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sacred.observers.MongoObserver.create",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sacred.observers.MongoObserver",
"line_number": 20,
"usage_type": "name"
},
{... |
10693679498 | from typing import Union
def pizza_before_bh(loop: int) -> str:
result: str = ''
for _ in range(loop):
n_date: str
d_people: Union[str, list]
[n_date, d_people] = input().split(' ', 1)
d_people = list(map(int, d_people.split()))
if len(result) == 0:
if all(i... | pdaambrosio/python_uri | Beginner/uri2554.py | uri2554.py | py | 709 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 7,
"usage_type": "name"
}
] |
72151456828 | from pynput import keyboard
import random
print("Please choose Rock, Paper or Scissors by clicking 1, 2 or 3 respectively. To exit the game click escape.")
def on_press(key):
if key == keyboard.KeyCode(char='1'):
userMove = 1
rps(userMove)
elif key == keyboard.KeyCode(char='2'):
... | fraserreilly/rockPaperScissors | rockPaperScissors.py | rockPaperScissors.py | py | 1,585 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pynput.keyboard.KeyCode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pynput.keyboard",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pynput.keyboard.KeyCode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pynput.... |
42969813970 | import cv2
import mediapipe as mp
import numpy as np
current_image = 'test1.png'
mp_drawing = mp.solutions.drawing_utils
mp_selfie_segmentation = mp.solutions.selfie_segmentation
BG_COLOR = (255, 255, 255)
with mp_selfie_segmentation.SelfieSegmentation(
model_selection=1) as selfie_segmentation:
im... | Pwegrzyn32/image-background-blur | blur2_0.py | blur2_0.py | py | 898 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mediapipe.solutions",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtCol... |
7714160246 | import sys
import os
import shutil
import string
import re
import argparse
from datetime import datetime, timedelta
import urllib3
import requests
import json
import yfinance as yf
verbose = False
ameritradeids = []
def ascii(text):
return text.decode('ascii', 'ignore')
class Stock:
name = ''
date = 0
iprice = 0... | atomicpunk/scripts | finance.py | finance.py | py | 14,573 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "urllib3.PoolManager",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.... |
18575713061 | # -*- coding: utf-8 -*-
"""
Created on Tue May 5 23:45:19 2020
@author: Niki
"""
#
import pickle
import os
from lettersEnv_2 import LettersEnv
import numpy as np
from esn_modified import ESN,identity
from sklearn.model_selection import train_test_split
import time
import string
# return valid num... | nicoleta-kyo/diss | train_letters_task - Copy/train_esnsole_newenv.py | train_esnsole_newenv.py | py | 5,789 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "lettersEnv_2.LettersEnv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pickl... |
18834168261 | # -*- coding: utf-8 -*-
# Author：sen
# Date：2020/3/9 20:04
from typing import List
class Solution:
def wiggleSort(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
n = len(nums)
a = sorted(nums)
j = len(a) - 1
# 错... | PandoraLS/CodingInterview | ProgrammingOJ/LeetCode_python/324_摆动排序2.py | 324_摆动排序2.py | py | 710 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
74073674428 | """Profile Model related tests."""
# Django
from django.test import TestCase
# Models
from platzigram_api.users.models import (
User
)
class ProfileModelTestCase(TestCase):
"""Profile Model Test case is a class that manages every test related to Profile model."""
def setUp(self) -> None:
"""Set... | ChekeGT/Platzigram-Api | platzigram_api/users/tests/test_models/test_profiles.py | test_profiles.py | py | 2,846 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "platzigram_api.users.models.User.objects.create_user",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "platzigram_api.users.models.User.objects",
"line_number": 18,
"... |
26374935080 | import os
import sys
import time
import logging
import collections
import csv
import numpy as np
from PIL import Image
import torch
import torch.utils.data as data
import torchvision.transforms as transforms
__all__ = ['load_partition_data_landmarks_g23k', 'load_partition_data_landmarks_g160k']
logging.basicConfig()... | Jaewoo-Shin/FL_ACT | data_utils/landmark.py | landmark.py | py | 11,398 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.d... |
70210976508 |
import joblib
import sklearn
from src.features.missing_indicator import MissingIndicator
from src.features.cabin_only_letter import CabinOnlyLetter
from src.features.categorical_imputer_encoder import CategoricalImputerEncoder
from src.features.median_imputation import NumericalImputesEncoder
from src.features.rare_la... | colivarese/Titanic_Pipeline_MLOps_Eq3 | src/models/train_model.py | train_model.py | py | 3,077 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.pipeline.Pipeline",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "src.features.missing_indicator.MissingIndicator",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "src.features.cabin_only_letter.CabinOnlyLetter",
"line_number": 33,... |
21218371819 | import os
import requests
import sys
import subprocess
def resolve_api_url():
url = os.getenv('GITHUB_REPO_URL') or os.getenv('GITHUB_ORG_URL')
if not url:
print('Need GITHUB_REPO_URL or GITHUB_ORG_URL!')
sys.exit(1)
scope = 'repos' if os.getenv('GITHUB_REPO_URL') else 'orgs'
name = u... | phoenix-rtos/phoenix-rtos-docker | gh-runner/entry.py | entry.py | py | 1,868 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"u... |
17812917902 | import inspect
from typing import Type, List, Optional, TypeVar, Dict, Callable
from lyrid.api.actor.switch.handle_rule import HandlePolicy, HandleRule
from lyrid.api.actor.switch.property_injection import POLICY_PROPERTY, AFTER_RECEIVE_PROPERTY
from lyrid.base.actor import Actor
from lyrid.core.messaging import Messa... | SSripilaipong/lyrid | lyrid/api/actor/switch/use_switch.py | use_switch.py | py | 2,159 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lyrid.api.actor.switch.handle_rule.HandleRule",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
73944800188 | import warnings
warnings.filterwarnings('ignore', category=DeprecationWarning)
import os
os.environ['MKL_SERVICE_FORCE_INTEL'] = '1'
os.environ['MUJOCO_GL'] = 'egl'
from pathlib import Path
import hydra
import numpy as np
import torch
from dm_env import specs
import dmc
import utils
from logger import Logger
from ... | conglu1997/v-d4rl | drqbc/train.py | train.py | py | 13,697 | python | en | code | 64 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.backends",... |
9063639099 | import datetime
import logging
import time
import os
import torch
from atss_core.config import cfg
import torch.distributed as dist
from atss_core.utils.comm import get_world_size, is_pytorch_1_1_0_or_later
from atss_core.utils.metric_logger import MetricLogger
stamps = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtim... | Alan-D-Chen/CDIoU-CDIoUloss | atss_core/engine/trainer.py | trainer.py | py | 7,619 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "time.strftime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "atss_core.utils.comm.get_world_size",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torc... |
23084042766 | from pyrfuniverse.envs import RFUniverseGymGoalWrapper
from pyrfuniverse.utils import RFUniverseToborController
import numpy as np
from gym import spaces
from gym.utils import seeding
import math
import pybullet as p
class ToborPushPullEnv(RFUniverseGymGoalWrapper):
metadata = {"render.modes": ["human"]}
def... | mvig-robotflow/pyrfuniverse | pyrfuniverse/envs/tobor_robotics/tobor_push_pull_env.py | tobor_push_pull_env.py | py | 10,739 | python | en | code | 39 | github-code | 6 | [
{
"api_name": "pyrfuniverse.envs.RFUniverseGymGoalWrapper",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "nu... |
4491655960 | from imp import find_module
from typing import Dict, Set, List
from essence import *
import pickle
import os
import json
import re
from utils import *
import subprocess
# TODO:
# * We're still depending upon no kaslr, remove the need for it.
# * Make generation more efficient.
KPATCH_BINARY_PATH = "kpatch/kpatch-buil... | ubdussamad/kptemp | main.py | main.py | py | 16,547 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
39400557947 | import os
import argparse
from typing import Tuple, Union, List, Dict, Any, Optional, Callable
import logging
import sys
import json
import pickle
import base64
import ast
from IPython.display import Image
from itertools import combinations
import operator
from sklearn.compose import ColumnTransformer
from sklearn.pre... | YangWu1227/python-for-machine-learning | tree_based/projects/age_related_conditions_sagemaker/src/custom_utils.py | custom_utils.py | py | 23,651 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "logging.Forma... |
37558604591 | import time
import uuid
from utils.sns_handler import SNSHandler
class OrderEventService:
def __init__(self):
self._sns = SNSHandler()
def publish_order(self, _items_complete, _total_items, _order):
return self._sns.publish({
'id': str(uuid.uuid4()),
'timestamp': int... | silassansil/simple-order-eventsourcing-cqrs-app | shared/service/order_event_service.py | order_event_service.py | py | 519 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.sns_handler.SNSHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
}
] |
33227699274 | import urllib.request
from apscheduler.schedulers.blocking import BlockingScheduler
#from cyimapp.views import modifyUbike
import datetime
sched = BlockingScheduler()
"""
@sched.scheduled_job('interval', minutes=1)
def timed_job():
print('This job is run every one minutes.')
"""
@sched.scheduled_job('cron', hour=... | lwyuki0524/CYIM-linebot-finalproject | clock.py | clock.py | py | 752 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "apscheduler.schedulers.blocking.BlockingScheduler",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
... |
15077013091 | # -*- coding: UTF-8 -*-
import xlrd
from datetime import date,datetime
#author:by Seven
#python读取excel表中单元格的内容返回的有5种类型，即ctype:
# ctype: 0 empty ,1 string ,2 number,3 date,4 boolean,5 error
#读取的文件名
rfile='test1.xlsx'
def read_excel():
wb = xlrd.open_workbook(filename=rfile)
sheet_list=wb.sheet_names()
sheet1=wb.shee... | ByX54192/Common-Script | rxls.py | rxls.py | py | 1,232 | python | zh | code | 1 | github-code | 6 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "xlrd.xldate_as_tuple",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.date",... |
355990780 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import wikipedia
import re
from EmeraldAI.Logic.Singleton import Singleton
from EmeraldAI.Config.Config import Config
from EmeraldAI.Logic.Logger import FileLogger
class Wikipedia(object):
__metaclass__ = Singleton
def __init__(self):
wikipedia.set_lang(Config... | MaxMorgenstern/EmeraldAI | EmeraldAI/Logic/KnowledgeGathering/Wikipedia.py | Wikipedia.py | py | 1,830 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "EmeraldAI.Logic.Singleton.Singleton",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "wikipedia.set_lang",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "EmeraldAI.Config.Config.Config",
"line_number": 13,
"usage_type": "call"
},
{
... |
72217056188 | #!/usr/bin/python3
"""Base Model Module """
import uuid
from datetime import datetime
class BaseModel:
"""Base Model Class
The base model class is the base for
all other classes
"""
def __init__(self, *args, **kwargs):
"""Constructor for baseModel"""
if len(kwargs) == 0:
... | Ayo-Awe/AirBnB_clone | models/base_model.py | base_model.py | py | 1,748 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "uuid.uuid4",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.... |
15579268331 | import torch
import torch.nn as nn
import torch.nn.functional as F
class cbow(nn.Module):
def __init__(self, vocab_size, embedding_dim=20, padding=True):
super(cbow, self).__init__()
# num_embeddings is the number of words in your train, val and test set
# embedding_dim is the dim... | mari756h/The_unemployed_cells | model/cbow.py | cbow.py | py | 1,227 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
372413184 | import boto3
from boto3.dynamodb.conditions import Key, Attr
from botocore.exceptions import ClientError
from datetime import datetime
import util
dynamodb = boto3.resource('dynamodb')
def lambda_handler(event, context):
# 送られてくるUserId,mochiliMembers,CognitoIdを取得
body = event["Body"]
creater_id = body["C... | ryamagishi/mochili_lambda | postMochili/lambda_function.py | lambda_function.py | py | 2,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.resource",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.dateti... |
30729197690 | import json
import logging
from threading import Thread
from collections import deque
import pika
from .connect import _Connection
LOGGER = logging.getLogger(__name__)
class Publisher(Thread):
"""Multithreaded publisher.
We use a multithreaded publisher to keep the I/O loop (and heartbeat) alive and maintai... | mdcatapult/py-queue | src/klein_queue/rabbitmq/publisher.py | publisher.py | py | 7,234 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pika.BasicProperties",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "connect._Conne... |
477702523 | from Predictor.Base import BaseTrainner
import torch as t
from tqdm import tqdm
import numpy as np
class Trainner(BaseTrainner):
def __init__(self, args, vocab, model, loss_func, score_func, train_loader, dev_loader, use_multi_gpu=True):
super(Trainner, self).__init__(args, vocab, model, loss_func, scor... | CNDPlab/ByteCup2018 | Trainner/trainner.py | trainner.py | py | 3,810 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "Predictor.Base.BaseTrainner",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn.utils.clip_grad_norm_",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "t... |
30755519335 | from collections import Counter
import math
n = int(input())
boxes = list(map(int, input().split(' ')))
boxes = sorted(boxes, reverse=True)
c = Counter(boxes)
ans = int(c[100] + max(0, math.ceil((c[50]-c[100])/3)))
print(ans)
| Tanguyvans/Codeforces | SIT/D.py | D.py | py | 230 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 10,
"usage_type": "call"
}
] |
72533958589 | import numpy as np
import pandas as pd
import time
import matplotlib.pyplot as plt
import seaborn as sns
import random
sns.set()
import pkg_resources
import types
from krx_wr_script import *
from tqdm import tqdm
from datetime import datetime
def get_state(data, t, n):
d = t - n + 1
block = data[d: t + 1] if d... | YoungseokOh/Stock-prediction-toy-project | analysis/bot_strategy.py | bot_strategy.py | py | 8,492 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "seaborn.set",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 47,
... |
27603498320 | import requests
import os
import json
from json import JSONDecodeError
from dotenv import load_dotenv
from loguru import logger
from requests import Response
from typing import Any
load_dotenv()
X_RAPIDAPI_KEY = os.getenv('RAPID_API_KEY')
headers = {
"X-RapidAPI-Host": "hotels4.p.rapidapi.com",
"X-RapidAPI-K... | Zaborev/hotel_search_bot | botrequests/hotels.py | hotels.py | py | 5,072 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"... |
35015744969 | from flask import Flask, render_template, request
import scrapper as scrapper
import html
website = 'WeFashion'
def display():
app = Flask(__name__)
@app.route('/')
def index():
products = scrapper.getProducts('index','mens-footwear-special-shoes','plrty')
data = {... | sameerkhanal209/SnapDealScrapper | website.py | website.py | py | 2,334 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scrapper.getProducts",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.a... |
21936779401 | import csv
import os
import argparse
from pathlib import Path
import torch
from transformers import BertTokenizer
from dataset import max_seq_length
def read_ag_news_split(filepath, n=- 1):
"""Generate AG News examples."""
texts = []
labels = []
with open(filepath, encoding="utf-8") as csv_fil... | bracha-laufer/pareto-testing | data_utils/process_data.py | process_data.py | py | 3,598 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_ALL",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
72532173629 | # pylint:disable=unused-variable
# pylint:disable=unused-argument
# pylint:disable=redefined-outer-name
# pylint:disable=protected-access
# pylint:disable=not-context-manager
from typing import Iterator
import pytest
import respx
from fastapi import FastAPI
from fastapi.testclient import TestClient
from pytest_simco... | ITISFoundation/osparc-simcore | services/catalog/tests/unit/test_services_director.py | test_services_director.py | py | 2,261 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "pytest.MonkeyPatch",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pytest_simcore.helpers.typing_env.EnvVarsDict",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "simcore_service_catalog.core.application.init_app",
"line_number": 29,
... |
43344923713 | # coding=utf-8
__author__ = 'Boris Tsema'
import time
import cPickle
from collections import defaultdict
import json
import re
import numpy as np
from twisted.internet import defer
from twisted.python import log
from gorynych.common.infrastructure.persistence import np_as_text
from gorynych.common.infrastructure impo... | DmitryLoki/gorynych | gorynych/processor/infrastructure/persistence.py | persistence.py | py | 7,403 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "cPickle.dump",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "gorynych... |
29553788733 | from __future__ import absolute_import, division, print_function, unicode_literals
from .compat import test_cycle
from .schema import ensure_schema
def build_dags(schema, dag_class=None, operator_class=None, sensor_class=None):
"""
:param dict schema: Airflow declarative DAGs schema.
:param dag_class: DA... | rambler-digital-solutions/airflow-declarative | src/airflow_declarative/builder.py | builder.py | py | 5,284 | python | en | code | 128 | github-code | 6 | [
{
"api_name": "schema.ensure_schema",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "operators.GenericOperator",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "operators.... |
36096958231 | import numpy as np
from sklearn import datasets
from sklearn.metrics import accuracy_score, classification_report
from sklearn.model_selection import train_test_split
from .base import BaseAlgorithm
class NaiveBayes(BaseAlgorithm):
def __init__(self):
self._classes = None
self._mean = None
... | janaSunrise/ML-algorithms-from-scratch | algorithms/naive_bayes.py | naive_bayes.py | py | 2,115 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "base.BaseAlgorithm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.unique",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_... |
9392771404 | import datetime
import json
import os
from subprocess import Popen, PIPE, STDOUT
from time import clock
from flask import Flask, request #, session, g, redirect, url_for, abort, render_template, flash
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config.from_object(__name__)
app.config.update(... | will2dye4/restty | restty.py | restty.py | py | 2,502 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
... |
71357258427 | from gensim.models import Word2Vec
from gensim.models.word2vec import LineSentence
import multiprocessing
import logging
from setting import news_file, word2vec_model_path, word2vec_vectors_path
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(lineno)d - %(message)s')
def word2vec_trai... | huangmgithub/Automatic_Summarization | bin/build_word2vec.py | build_word2vec.py | py | 1,131 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "setting.news_file",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "gensim.mode... |
124077703 | # @Time : 2023/4/2 22:49
# @Author : tk
# @FileName: infer
import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__),'..')))
import torch
from deep_training.data_helper import ModelArguments
from transformers import HfArgumentParser
from data_utils import train_info_ar... | ssbuild/rwkv_finetuning | infer/infer_finetuning.py | infer_finetuning.py | py | 2,357 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
16919929356 | import json
from pydantic import parse_obj_as
from abc import ABC, abstractmethod
from typing import Any
from aiober.methods.base import Response
from .viber import ViberAPIServer, PRODUCTION
DEFAULT_TIMEOUT: float = 60.0
class BaseSession(ABC):
def __init__(self):
self.api: ViberAPIServer = PRODUCTION... | CodeCraftStudio-Family/aioviber | aiober/client/session/base.py | base.py | py | 912 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "viber.ViberAPIServer",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "viber.PRODUCTION",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
... |
24794202203 | #!/usr/bin/env python3
import sys, re, argparse
R = re.compile("(?P<number>\d+)\s+(?P<repeat>\d+)R")
def main():
"""
mcnp2phits - converts *some* parts of MCNP deck into PHITS format
"""
parser = argparse.ArgumentParser(description=main.__doc__,
epilog="Homepage: ... | kbat/mc-tools | mctools/phits/mcnp2phits.py | mcnp2phits.py | py | 955 | python | en | code | 38 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number"... |
19981907937 | import re
from fake_useragent import UserAgent
from bs4 import BeautifulSoup
import requests
def get_data():
ua = UserAgent()
fake_ua = {'user-agent': ua.random}
url = 'https://tury.ru/hotel/'
req = requests.get(url=url, headers=fake_ua)
response = req.text
soup = BeautifulSoup(response, 'lxm... | Baradys/scrappers | scrappers/tury/tury_hotels.py | tury_hotels.py | py | 1,685 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fake_useragent.UserAgent",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.search",
... |
8784215352 | from datetime import datetime
from django.contrib.auth.models import User
from django.db import models
class Organisation(models.Model):
"""
An organisation that the user belongs to.
Eg: user_1 belongs to xyz organisation
# Create an organisation
>>> organisation_1 = Organisation.objects.create(... | simranmadhok/Venter_CMS | Venter/models.py | models.py | py | 3,615 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
31927207952 | from fastapi import FastAPI, Request, Response
import http, csv, json, yaml
import xml.etree.ElementTree as ET
app = FastAPI()
@app.get("/read-txt")
def _readTxtEndpoint():
with open('./text_file.txt') as f:
lines = f.read()
return {"resultSet": lines}
@app.get("/read-csv")
def _readCsvEndpoint():
... | DavidKrtolica/system_integration_repo | data_format_translation_servers [INDIVIDUAL]/python/main.py | main.py | py | 950 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse"... |
23916514495 | import torch
import os
import numpy as np
import csv
from torch.utils.data import Dataset
from torchvision import transforms
import torchvision
from PIL import Image
import json
default_transform = transforms.Compose([
transforms.ToTensor(),
])
class iclevr_dataset(Dataset):
def __init__(se... | ToooooooT/Deep-Learning | lab07/source_code/dataset.py | dataset.py | py | 2,146 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 12,
"usage_type": "call"
},
{
... |
12509878797 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
from collections import deque
class Solution:
def reorderList(self, head: Optional[ListNode]) -> None:
if not head:
return
q=deque()
... | Tanya-Katiyar/Leetcode | 0143-reorder-list/0143-reorder-list.py | 0143-reorder-list.py | py | 927 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
71779835068 | '''
1. CALCULA CUANTA INVERSION VALE LA PENA PARA CADA FIN DE AÑO USANDO EL PRECIO DADO EN EL CODIGO.
2. REALIZA UN GRAFICO PARA MOSTRAR CUANTO CAMBIA EL VALOR DE TU INVERSION DE 1000 EN UN AÑO.
PRIMERO CALCULA CUANTOS BITCOINS TENDRAS AL INICIO DIVIDIENDO SU INVERSIÓN POR EL COSTO DEL BITCOIN EN EL PRIMER AÑO (EL PR... | Giovanny100/archivos_Trabajo | archivos_py/calculos_financieros/CALCULOS BASICOS/grafico_bitcoin.py | grafico_bitcoin.py | py | 1,130 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "numpy.std",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy_financial.irr",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",... |
17689670172 | import os
from torch.utils.data import Dataset
from torchvision.transforms import RandomCrop, Resize, InterpolationMode, RandomHorizontalFlip
from torchvision.transforms.functional import rotate
from torchvision.io import read_image
import numpy as np
class ImageData(Dataset):
def __init__(self, data_path, HR_shap... | abed11326/Training-a-Super-Resolution-GAN-for-4x-image-upscaling | imageData.py | imageData.py | py | 1,492 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.RandomCrop",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "... |
33383350794 | from django.shortcuts import render, HttpResponse, redirect
from django.contrib import messages
from .models import *
import bcrypt
# Create your views here.
def index(request):
return render(request, 'index.html')
def register(request):
if request.method != 'POST':
return redirect ('/')
errors =... | destinyng/quote_project_BlackBelt | quote_app/views.py | views.py | py | 4,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.error",
"line_number": 17,
"usage_type": "call"
},
{
"ap... |
42214943545 | """
/*** 本模块实现了自定义音乐查询获取并返回音乐CQ码kuq接口进行反向传输 ****/
/*** 音乐可以来自任何平台，并且支持查询操作****/
/*** write by @fengx1a0
"""
class FindMusic():
def __init__(self,key):
self.__key = key
import requests
self.__request = requests.get
handle = self.__request(url="http://musicapi.leanapp.cn/search?keywords="+self.__key)
_json = ... | fengx1a0/just_robot | HexRun/music_enhanced_module.py | music_enhanced_module.py | py | 1,654 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "attribute"
}
] |
11409286861 | import os
from deep_training.data_helper import ModelArguments, TrainingArguments, DataArguments
from transformers import HfArgumentParser
from data_utils import train_info_args, NN_DataHelper
from models import MyTransformer, ChatGLMTokenizer, setup_model_profile, ChatGLMConfig, LoraArguments, global_args, \
Inval... | kavin525zhang/AIGC | pretrained_model/ChatGLM/loan_collection/infer_lora_batch.py | infer_lora_batch.py | py | 4,391 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.prompter.Prompter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "data_utils.train_info_args",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "transformers.HfArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"... |
40359316924 | from django.db.models import fields
from django.forms.forms import Form
from django.shortcuts import render, redirect, HttpResponseRedirect
from django.urls import reverse
from django.views.generic import ListView, DetailView, UpdateView, CreateView, FormView
from django.http import Http404
from django.core.paginator i... | glauke1996/Kindergarten_Project | notifications/views.py | views.py | py | 4,518 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "reviews.forms.CreateCommentForm",
"line_number": 37,
"usage_type": "call"
},
... |
22219030346 | from director.consoleapp import ConsoleApp
from director import robotsystem
from director import visualization as vis
from director import objectmodel as om
from director import ikplanner
from director import ikconstraintencoder as ce
from director import ikconstraints
from director import transformUtils
import numpy ... | RobotLocomotion/director | src/python/tests/testPlanConstraints.py | testPlanConstraints.py | py | 2,959 | python | en | code | 176 | github-code | 6 | [
{
"api_name": "director.ikconstraints",
"line_number": 57,
"usage_type": "argument"
},
{
"api_name": "director.transformUtils.transformFromPose",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "director.transformUtils",
"line_number": 64,
"usage_type": "name"
... |
18918432514 | from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import csv
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdr... | DangDuyAnh/Tich-Hop-Du-Lieu | DIProject/crawler/batdongsan-bot.py | batdongsan-bot.py | py | 4,570 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 23,
"usage... |
2517903386 | import cv2
import numpy as np
import math
import os
import pygame #play music
from tkinter.filedialog import askdirectory
from tkinter import *
root=Tk()
root.configure(background='grey')
root.minsize(300,300)
listofsongs = []
total=3
index = total-1#of list
def nextsong(event):
global index
if... | SDUDEJA16/MUSIC-ly-Gesture-Controlled-Music-Player | hand_detectionandrecoginition.py | hand_detectionandrecoginition.py | py | 5,433 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.mixer.music.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music.play",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyg... |
72478260029 | from django.http import JsonResponse
from django.shortcuts import render
from redis_ import rd
# Create your views here.
from django.views.decorators.cache import cache_page
from art.models import Art
from user import helper
import redis_
from art import tasks
@cache_page(30)
def show(request,id):
login_user = he... | cjxxu/A_Fiction_web | myapps/art/views.py | views.py | py | 1,808 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "user.helper.getLoginInfo",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "user.helper",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "art.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "art.models.Art.object... |
3654514470 | import sys
import json
from mycroft.messagebus.client.ws import WebsocketClient
from mycroft.messagebus.message import Message
from mycroft.configuration import ConfigurationManager
from websocket import create_connection
def main():
"""
Main function, will run if executed from command line.
Send... | injones/mycroft_ros | scripts/mycroft/messagebus/send.py | send.py | py | 2,371 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
30794578181 | # Plattsalat specific python macros
import collections
import datetime
import numbers
import types
from typing import Any
import logging
import uno
from com.sun.star.lang import Locale
from com.sun.star.table.CellVertJustify import CENTER as vertCenter
from com.sun.star.table.CellHoriJustify import CENTER as horCenter
... | nilsrennebarth/oodbpyges | Psmacros.py | Psmacros.py | py | 21,881 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "types.Simple... |
27618901256 | from django.contrib import admin
from home.models import Setting, ContactFormMessage
class ContactForMessageAdmin(admin.ModelAdmin):
list_display = ["name","email","subject","note","status"]
list_filter = ["status"]
# Register your models here.
admin.site.register(ContactFormMessage,ContactForMessageAdmin)
a... | mfatihyarar/B200109020_proje | home/admin.py | admin.py | py | 348 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 10,
"usage_type": "call"
},... |
7191980185 | from django.shortcuts import render, redirect
from .models import article
# Create your views here.
def index_defined_in_view(request):
articles = article.objects.all()
new_article = []
for row in articles:
if(len(row.title)>5):
new_article.append(row)
return render(request, 'inde... | dooking/LikeLion | session8/blog/write/views.py | views.py | py | 879 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.article.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.article.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.article",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dj... |
26767459770 | from statistics import mode
import pytorch_lightning as pl
from torch.nn import functional as F
from torch import optim
from transformers import AutoModelForSequenceClassification
import torch
import pandas as pd
import numpy as np
from prediction_stats import print_stats
trans_cache_dir = "/cluster/scratch/gboeshert... | gauthierboeshertz/fallacy_detection | base_module.py | base_module.py | py | 5,254 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "transformers.AutoModelForSequenceClassification.from_pretrained",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "transformers.AutoModelForSequenceClassific... |
42947667200 | from PyQt4 import QtGui, QtCore
from twisted.internet.defer import inlineCallbacks, returnValue
import socket
import os
from barium.lib.clients.gui.piezo_mirror_gui import QPiezoMirrorGui
from config.multiplexerclient_config import multiplexer_config
#from labrad.units import WithUnit as U
SIGNALID1 = 445571
SIGNALI... | barium-project/barium | lib/clients/Piezo_mirror_client/Piezo_mirror_client.py | Piezo_mirror_client.py | py | 6,846 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "PyQt4.QtGui.QWidget",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QSizePolicy",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "PyQ... |
70396798267 | import chex
import numpy.testing as npt
import pytest
from shinrl import Pendulum
@pytest.fixture
def setUp():
config = Pendulum.DefaultConfig(dA=5)
return config
def test_to_discrete_act(setUp):
from shinrl.envs.pendulum.calc import to_discrete_act
config = setUp
act = to_discrete_act(config,... | omron-sinicx/ShinRL | tests/envs/pendulum/pendulum_calc_test.py | pendulum_calc_test.py | py | 1,812 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "shinrl.Pendulum.DefaultConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "shinrl.Pendulum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "shin... |
32508697252 | import numpy as np
import torch
from tqdm import tqdm
import torch.distributed as dist
import libs.utils as utils
from trainers.abc import AbstractBaseTrainer
from utils.metrics import AverageMeterSet
from libs.utils.metrics import intersectionAndUnionGPU
from datasets.dataset_utils import get_label_2_train
class Si... | numpee/UniSeg | trainers/single_trainer.py | single_trainer.py | py | 2,887 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "trainers.abc.AbstractBaseTrainer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "utils.metrics.AverageMeterSet",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name... |
31381062627 | from faker import Faker
from app.db.dev import db
from app.db.models import Team
class TeamSeeder:
"""
Seeder class for generating team data.
"""
def __init__(self):
"""
Initialize the TeamSeeder class.
"""
self.fake = Faker()
def generate_teams(self, count):
... | rajahwu/FpGp | project_prep/app/db/seeders/teams.py | teams.py | py | 1,271 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "faker.Faker",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.db.models.Team",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "app.db.dev.db.session.add",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "app.db.dev.d... |
6226428783 | # -*- coding: utf-8 -*-
import os
from flask import request
from flask import jsonify
from flask import Flask, g
from flask import render_template
from flask.ext.babel import Babel
import PIL
import base64
import numpy as np
from PIL import Image
from io import BytesIO
from datetime import datetime
import tensorflow... | rafaelnovello/mnist-demo | webapp/app.py | app.py | py | 3,112 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.ext.babel.Babel",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cloudinary.config",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
... |
21792958512 | import cv2
import pytesseract
from wand.image import Image
from PyPDF2 import PdfFileReader
def ocr(image_path):
# Чтение изображения
image = cv2.imread(image_path)
# Преобразование изображения в оттенки серого
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Применение алгоритма бинаризаци... | Vlad-Goncharov/info_file_detection | main.py | main.py | py | 1,618 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"l... |
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