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"
},
{
... |
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