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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73505701627 | # coding=utf-8
#
# /**************************************************************************
# ***
# *** File Author: Dell, 2018年 09月 18日 星期二 16:28:12 CST
# ***
# **************************************************************************/
#
import os
import sys
import logging
import argparse
import model
parser = ... | delldu/ImageCNN | train.py | train.py | py | 1,707 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "model.DEFAULT_TRAIN_DATA_ROOT_DIR",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "model.DEFAULT_TRAIN_DATA_ROOT_DIR",
"line_number": 24,
"usage_type": "attr... |
27641421937 | # by filtering stock that is in the range of 0.5 to 2 pct difference
import os
from dotenv import load_dotenv
load_dotenv()
import os
from supabase import create_client
import numpy as np
import pandas as pd
import requests
from datetime import datetime
from io import StringIO
def preprocess_numeric_value(value):
... | supertypeai/sectors_forecast_growth_rate | code/main_v2.py | main_v2.py | py | 7,738 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.isna",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pandas.isna",
"line_... |
45386146936 | """
Serialize data to/from JSON
"""
# Avoid shadowing the standard library json module
from __future__ import absolute_import
from __future__ import unicode_literals
import datetime
import decimal
import json
import sys
from theory.core.serializers.base import DeserializationError
from theory.core.serializers.python... | grapemix/theory | theory/core/serializers/json.py | json.py | py | 3,323 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "theory.core.serializers.python.Serializer",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "json.__version__.split",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.__version__",
"line_number": 28,
"usage_type": "attribute"
},
{... |
9224541444 | from flask import Flask
from flask import request, jsonify
import json, os, util, pickle
app = Flask(__name__)
SIMULATION_RESULT_PATH = './sim_result'
from flask_cors import CORS
CORS(app)
def load(path):
with open(path, 'rb') as f:
obj = pickle.load(f)
return obj
@app.route("/")
def hello_world():
... | Tsinghua-MARS-Lab/InterSim | simulator/dashboard_server.py | dashboard_server.py | py | 5,757 | python | en | code | 119 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"l... |
72307131709 | import apace as ap
import matplotlib.pyplot as plt
import numpy as np
from fodo import make_fodo
from master_thesis import figure_path
angles = [0, np.pi / 8, np.pi / 4]
fodo = make_fodo(angle=angles[1])
d1, b1, q1, q2 = (fodo[name] for name in ("d1", "b1", "q1", "q2"))
twiss = ap.Twiss(fodo)
steps = 1000
lengths = ... | andreasfelix/master-thesis | code/lattice-design/fodo/necktie_plot.py | necktie_plot.py | py | 1,796 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "fodo.make_fodo",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "apace.Twiss",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
39159138446 | from numpy import squeeze, real, mean, pi, float16, array, float16, reshape, float32
from scipy import ndimage as ndi
from skimage.filters import gabor_kernel
from skimage.feature import hog
from skimage import feature
import cv2
import numpy as np
from skimage.transform import rescale, resize, downscale_local_mean
imp... | NaghmeNazer/diabetes-iridology | featureExtraction.py | featureExtraction.py | py | 3,245 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "skimage.feature.hog",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "numpy.array",
"... |
7233973656 | import os
import json
import numpy as np
from ortools.sat.python import cp_model
def solve(all_block, wafer_width, wafer_height):
### wafer sampling
# Number of blocks
n = len(all_block)
# wafer Variables
all_wafer_x_st, all_wafer_y_st, all_wafer_x_ed, all_wafer_y_ed, sampled = [], [], [], [], []
... | Jerry-Github-Cloud/OR-Tools-Code | AdvacneProcess/advance_process_1.py | advance_process_1.py | py | 7,607 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ortools.sat.python.cp_model.CpSolver",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "ortools.sat.python.cp_model",
"line_number": 121,
"usage_type": "name"
},
{
"api_name": "ortools.sat.python.cp_model.OPTIMAL",
"line_number": 125,
"usage_type"... |
650430067 | #! /bin/python
import os
import sys
import json
import numpy as np
import luigi
import vigra
import nifty
import nifty.tools as nt
import cluster_tools.utils.volume_utils as vu
import cluster_tools.utils.function_utils as fu
from cluster_tools.cluster_tasks import SlurmTask, LocalTask, LSFTask
#
# Orphan Filter Ta... | constantinpape/cluster_tools | cluster_tools/postprocess/orphan_assignments.py | orphan_assignments.py | py | 4,673 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "luigi.Task",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "luigi.Parameter",
"l... |
26070327512 | import re
from validate_email import validate_email
TAG_RE = re.compile(r'<[^>]+>')
def remove_tags(text):
return TAG_RE.sub('', text)
class Email():
EMAIL_FIELDS = ["to", "from"]
FIELDS = "to to_name from from_name subject body".split()
def __init__(self, raw_data):
self.populate_fields(raw_data)
... | jasonwang0/email-service | lib/email.py | email.py | py | 976 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "validate_email.validate_email",
"line_number": 28,
"usage_type": "call"
}
] |
14095916252 | #!/usr/bin/env python
# coding: utf-8
# In[9]:
import json
with open('file1.json','r') as a:
data1 = a.read()
obj1 = json.loads(data1)
with open('file2.json','r') as a:
data2 = a.read()
obj2 = json.loads(data2)
dlt = {i: obj1[i] for i in obj1 if i in obj2 and obj1[i] != obj2[i]}
if len(dlt):
print ("Есть... | Ventelj/Test-Task | test.py | test.py | py | 471 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
}
] |
12960757699 | from popsycle import synthetic
import numpy as np
import matplotlib.pyplot as plt
from astropy.table import Table
import h5py
def test_h5_output(extra_col= True):
""""
Parameters
----------
extra_col : boolean, defaults to False
Tells the code whether or not the new h5 file will have ... | jluastro/PopSyCLE | popsycle/tests/test_h5_output.py | test_h5_output.py | py | 2,763 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "popsycle.synthetic.perform_pop_syn",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "popsycle.synthetic",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "h5py.File",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy... |
24200669844 | import logging
import threading
import types
from collections import namedtuple
from hashlib import sha256
from time import sleep, time
from goTenna.payload import BinaryPayload, CustomPayload
from termcolor import colored
import config
from utilities import de_segment, naturalsize
logger = logging.getLogger("MSGS"... | willcl-ark/lightningtenna | lightningtenna/messages.py | messages.py | py | 5,494 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "goTenna.payload.Custom... |
24998792911 | import time
from osv import osv
from osv import fields
from tools import config
from tools.translate import _
from datetime import datetime
from datetime import timedelta
class hr_payroll_declar(osv.osv):
'''
Decleration Form
'''
_name = 'hr.payroll.declare'
_description = 'Decleration Form'
... | factorlibre/openerp-extra-6.1 | hr_payroll_declare/hr_payroll_declare.py | hr_payroll_declare.py | py | 7,785 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "osv.osv.osv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "osv.osv",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "osv.fields.char",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "osv.fields",
"line_numbe... |
11370435084 | import torch
import torchvision
import gym
import random
import torch.nn as nn
import torch
from torch.autograd import Variable
import torch.autograd as autograd
import torch.nn.functional as F
import gym
import random
import heapq
from gym.envs.registration import register
register(
id='FrozenLakeNotSlippery-v0... | ssainz/reinforcement_learning_algorithms | non_jupyter/Frozen_Lake_Actor_Critic_Batch_NoReplacement.py | Frozen_Lake_Actor_Critic_Batch_NoReplacement.py | py | 17,568 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gym.envs.registration.register",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch... |
28969370099 | from django.urls import path
from apps.cafes.urls import CAFE_URL_KEYWORD
from apps.products import views
CATEGORY_LIST_URL_NAME = "category-list"
CATEGORY_DETAIL_URL_NAME = "category-detail"
CATEGORY_URL_KEYWORD = "category_id"
OPTION_GROUP_LIST_URL_NAME = "optiongroup-list"
OPTION_GROUP_DETAIL_URL_NAME = "optiongr... | TGoddessana/cafehere | apps/products/urls.py | urls.py | py | 1,800 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "apps.cafes.urls.CAFE_URL_KEYWORD",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "apps.products.views.CategoryAPIViewSet.as_view",
"line_number": 21,
"usage_type": "call... |
31434243930 | #!/usr/bin/python3
# Coding: utf-8
# Author: Rogen
# Description: 專家系統功能集
from os import walk
from tkinter import *
from PIL import ImageTk, Image
from tkinter import ttk, messagebox, font, filedialog
from tkintertable.TableModels import TableModel
from tkintertable.Tables import TableCanvas
from matplotlib.backends.... | NCHU-rogen/ExpertSystem_Project | ExpertSystem_Functions.py | ExpertSystem_Functions.py | py | 33,877 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.pathsep",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_excel",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.ExcelFile",
... |
41489732999 | import numpy as np
from gym import spaces
import gym
import json
import pickle
class StateNormWrapper(gym.Wrapper):
"""
Normalize state value for environments.
"""
def __init__(self, env, file_name):
super(StateNormWrapper, self).__init__(env)
with open(file_name, "r") as read_file:
... | quantumiracle/Cascading-Decision-Tree | src/rl/env_wrapper.py | env_wrapper.py | py | 1,617 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "gym.Wrapper",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 4... |
19547650475 | import logging
import multiprocessing
import os
from subprocess import run
from Bio import SeqIO, AlignIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from constants import CD_HIT_CLUSTER_REPS_OUTPUT_FILE, CLUSTERS_NT_SEQS_DIR, CLUSTERS_ALIGNMENTS_DIR, \
NUMBER_OF_PROCESSES, FASTA_FILE_TYPE, ALIGNM... | yarivz/pa-pseudogene | external_tools.py | external_tools.py | py | 9,994 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "constants.CD_HIT_CLUSTER_REPS_OUTPUT_FILE",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "subprocess.run",
"line_number": 22,
"usage_type": "call"
},
{
"api_na... |
41491508331 | # ----------- Import statements ------------
import math;
import numpy;
import matplotlib.pyplot as plt;
# ------------ Custom functions ------------
# A-F sums
def A(xlist, ylist, y_uncert):
A = 0;
for i in range(len(xlist)):
A += xlist[i] / (y_uncert[i])**2;
return A;
def B(xlist, ylist, y_unc... | henryshi1/phy-153 | Homework/hw05/shi_homework05.py | shi_homework05.py | py | 5,372 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 162,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
35696320275 | from flask import Flask ,request,Response,session,jsonify,render_template,redirect,url_for
from flask.json import JSONDecoder
from google.protobuf import message
from keras.utils.generic_utils import default
from db import create_db,db
from models import imgModel,User
from flask_restful import marshal_with,fields,abort... | yussif-issah/finalwork | main.py | main.py | py | 18,083 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"lin... |
41380069765 | from functools import wraps
import time
from utils.mics import colorstr
def fun_run_time(func):
'''
装饰器，用于获取函数的执行时间
放在函数前，如
@fun_run_time()
def xxx():
'''
@wraps(func)#可删去，是用来显示原始函数名的
def _inner(*args, **kwargs):
s_time = time.time()
ret = func(*args, **kwargs)
... | Backlory/motionDetection | utils/timers.py | timers.py | py | 1,229 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.mics.colorstr",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_n... |
39005364665 | import numpy as np
import datetime
import math
def anagram(s1,s2):
s1=list(s1)
s2=list(s2)
if len(s1)==(len(s2)):
s1=set(s1)
s2=set(s2)
s3=set()
if s1^s2==s3:
print("Anagram")
else:
print("not an anagram")
else:
print("String are ****NOT*** Anagram")
def primerange(num):
newarr=[]
for num in ... | Rohan2596/Python_1_moth | Python_1_Month/Algorithms_programs/AlogoUtility.py | AlogoUtility.py | py | 4,962 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 132,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 174,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number"... |
27213609715 | from collections import deque, defaultdict
def bfs(n, adj):
visited = [False] * (n+1)
min_dist = [1e9] * (n+1)
visited[1] = True
min_dist[1] = 0
q = deque([1])
while q:
cur = q.popleft()
for a in adj[cur]:
if not visited[a]:
q.append... | hammii/Algorithm | Programmers_python/가장_먼_노드.py | 가장_먼_노드.py | py | 677 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 25,
"usage_type": "call"
}
] |
33344135925 | import os
import logging
from pathlib import Path
from llama_index import (
GPTSimpleVectorIndex,
GPTSimpleKeywordTableIndex,
SimpleDirectoryReader
)
from llama_index.indices.composability import ComposableGraph
# Initialise Logger
logging.basicConfig(level=logging.INFO, format="[{asctime}] - {funcName}... | gilgamesh7/iliad_llama | 04_local_data_update_index.py | 04_local_data_update_index.py | py | 2,482 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ.ge... |
73439288188 | import argparse
from subcommands.setup.parser import parser as setup_parser
from subcommands.export.parser import parser as export_parser
from subcommands.info.parser import parser as info_parser
from subcommands.process.parser import parser as process_parser
from subcommands.prune.parser import parser as prun... | zruan/hotspur_command | hotspur.py | hotspur.py | py | 1,681 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "subcommands.setup.parser.parser",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "subcommands.process.parser.parser",
"line_number": 26,
"usage_type": "name"
},
... |
20289549716 | from stat_arb.src.data_loader.dao.dataframe.RawPostgresSampledDataLoader import RawPostgresSampledDataLoader
from stat_arb.src.data_loader.dao.dataframe.ClickhouseTradesDataLoader import ClickhouseTradesDataLoader
from stat_arb.src.data_loader.database import database_config
from datetime import datetime
from stat_arb.... | v-buchkov/statistical_arbitrage_backtester | download_hourly_data.py | download_hourly_data.py | py | 1,939 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "stat_arb.src.data_loader.general.Interval.Interval",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "stat_arb.src.data_loader.general.Interval.Interval",
"line_number": 24,
... |
22799615615 | from django.shortcuts import render
from django.http import HttpResponse
from myapp.models import City,Country,Person
from myapp.forms import PersonForm
from django.shortcuts import redirect
# Create your views here.
def index(request):
country=Country.objects.all()
context={
'country':country,
}
... | pappubca005/dynamic-dropdown | myapp/views.py | views.py | py | 1,346 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "myapp.models.Country.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "myapp.models.Country.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "myapp.models.Country",
"line_number": 10,
"usage_type": "name"
},
... |
27578228523 | #!/usr/bin/env python3
import argparse
import configparser
from pathlib import Path
from rich import console
import sys
sys.path.append("/home/vermin/IdeaProjects/summalarva")
from summalarva.openai_client import OpenAIClient
from summalarva.orgnoter import OrgNoter
console = console.Console()
config = configparser.... | nhannht/summalarva | summalarva/summarize_pdf.py | summarize_pdf.py | py | 1,484 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rich.console",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rich.console.Console",
"... |
10548067106 | #!/usr/bin/env python3
"""
From a set of zone transits representing trips between stops, work out
the effective trip time for a passenger arriving at the the origin every
minute from the departure time of the first bus to the departure time of
the last one
"""
import collections
import datetime
import logging
import ... | SmartCambridge/milton_road_study | initial_investigation/expand_transits.py | expand_transits.py | py | 4,037 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_ALL",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "collections.OrderedDi... |
30704086585 | from collections import deque
with open('day6.txt') as day6:
lines = day6.readlines()
target_size = 14
current = 0
buffer = deque([''] * target_size)
for line in lines:
for char in line:
current = current + 1
buffer.popleft()
buffer.append(char)
if current > target_size and len(set(buffer)) == t... | shanetreacy/aoc2022 | day6aoc.py | day6aoc.py | py | 365 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
22734703340 | # -*- coding: utf-8 -*-
import json
import os
import sys
import xbmc
import xbmcvfs
import xbmcaddon
import xbmcgui
import xbmcplugin
import pyxbmct
import requests
import io
import unicodedata
import re
import ast
import sqlite3
import shutil
import time
from medias import Media, TMDB
import medias
import zipfile
impo... | osmoze06/repo.weebox | repo/plugin.video.sendtokodiU2P/service.py | service.py | py | 291,195 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "xbmcvfs.translatePath",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "xbm... |
36621325200 | import pygame
import sys
from moviepy.editor import VideoFileClip
from PIL import Image
pygame.init()
music_background = pygame.mixer.music.load("assets/LostCompanionTomboFry.mp3")
pygame.mixer.music.play()
pygame.mixer.music.set_volume(0.2)
lar = 550
hut = 700
screen = pygame.display.set_mode((lar, hut))
pygame.di... | RuFiripo/Pythongoras-Game | menu.py | menu.py | py | 2,712 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.music.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music... |
73765860989 | import asyncio
import collections
import contextlib
import datetime
import functools
import io
import multiprocessing
import multiprocessing.pool
import os
import signal
import tempfile
from aiohttp import web
import marshmallow
from oslo_config import cfg
from oslo_log import log
LOG = log.getLogger(__name__)
CONF... | indigo-dc/DEEPaaS | deepaas/model/v2/wrapper.py | wrapper.py | py | 12,808 | python | en | code | 31 | github-code | 6 | [
{
"api_name": "oslo_log.log.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "oslo_config.cfg.CONF",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "oslo_co... |
8407981184 | from abc import ABC, abstractmethod
import threading
import boto3
import botocore
import sys
import logging
import logging.config
from enum import Enum
from itertools import cycle
from botocore.config import Config
from botocore.endpoint import MAX_POOL_CONNECTIONS
from collections.abc import Iterable
class AWS_SVC_B... | prisma-cloud/IAMFinder | aws_svc/aws_service_base.py | aws_service_base.py | py | 3,839 | python | en | code | 102 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "botocore.config.Config",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "botocore.endpoint.MAX_POOL_CONNECTIONS",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": ... |
42739931950 | import os
import pickle
import shutil
import numpy as np
from tqdm import tqdm
import time
class ModelManager:
'''
Model manager is designed to load and save all models
No matter what dataset name.
'''
path_name = './checkpoints/'
@classmethod
def __init__(cls, cfg):
if not cfg.MOD... | Jack-Lio/RecommenderSystem | utls.py | utls.py | py | 11,868 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.strftime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
5762269283 | import os
scriptPath = os.path.dirname(os.path.abspath(__file__))
projRootPath = os.path.abspath(
os.path.join(scriptPath ,
os.path.join('..', '..')))
import numpy as np
# matplotlib for displaying the output
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
from scipy import sign... | mariusdgm/AudioMining | src/visualization/spectrogram.py | spectrogram.py | py | 1,360 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
4714847905 | import requests
import ast
import sys
import getopt
class XkcdClient():
def api_call(self, url):
self.urls = url
r = requests.get(url = self.urls)
byte_str = r.content
dict_str = byte_str.decode("UTF-8")
my_data = ast.literal_eval(dict_str)
return my_data
de... | nishantasarma/XkcdClientApp | client.py | client.py | py | 2,527 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numbe... |
7874667169 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jun 22 16:48:54 2019
@author: xiaohaoren
"""
import json
import pickle
import numpy as np
negative_word = ['悶熱','吵雜','髒','髒亂','加強','改進','缺點']
def Load_All_Info(json_path,pickle_path):
with open(json_path,'r') as fp:
json_data = json.... | e841018/DinnerSelector | utils/Filtering.py | Filtering.py | py | 2,301 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 20,
"usage_type": "call"
}
] |
35839328750 | import argparse
from distutils.util import strtobool
import pathlib
import siml
import convert_raw_data
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'settings_yaml',
type=pathlib.Path,
help='YAML file name of settings.')
parser.add_argument(
'raw_da... | yellowshippo/isogcn-iclr2021 | src/preprocess_raw_data_with_preprocessors.py | preprocess_raw_data_with_preprocessors.py | py | 3,638 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pathlib.P... |
71175312187 | import re
import time
import textwrap
from copy import copy
import torch.nn.functional as F
from training_utils import *
BASH_FORMATTING = {
'PURPLE': '\033[95m',
'CYAN': '\033[96m',
'DARKCYAN': '\033[36m',
'BLUE': '\033[94m',
... | amauriciorr/AubreyBot | chat_utils.py | chat_utils.py | py | 2,389 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "copy.copy",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.rand",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "torch.nn.funct... |
33359786284 | from unittest import TestCase
import unittest
import requests
# import sys
#
# sys.path.insert(0, '../../src')
class TestLoadTimeSeries(TestCase):
def test_load_data_success(self):
f = open("tests/routes/time_series_covid19_recovered_global.csv", "rb")
file = f.read()
url = 'https://covid... | shin19991207/CSC301-A2 | tests/routes/test_time_series.py | test_time_series.py | py | 1,255 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "unittest.main",
"li... |
25254340151 |
import numpy as np
import sys
from vispy import app, visuals, scene
# build visuals
Plot3D = scene.visuals.create_visual_node(visuals.line.line.LineVisual)
# build canvas
canvas = scene.SceneCanvas(keys='interactive', title='plot3d', show=True)
# Add a ViewBox to let the user zoom/rotate
view = canvas.central_widg... | ptmorris03/Clip3D | lines.py | lines.py | py | 1,152 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "vispy.scene.visuals.create_visual_node",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "vispy.scene.visuals",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "vispy.scene",
"line_number": 8,
"usage_type": "name"
},
{
"api_name... |
11932438017 | from env import data
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by... | bangef/pz | python/post-test/module/program.py | program.py | py | 4,797 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.action_chains.ActionChains",
"line_number": 16,
"usage_type": "cal... |
12153147067 | import matplotlib.pyplot as plt
import numpy as np
with open('scores.txt', 'r') as f:
scores = f.read().splitlines()
scores = list(map(int, scores))
mean = []
max_list = []
for i,j in enumerate(scores):
if i % 1000 == 0:
mean.append(np.average(scores[i:i+1000]))
max... | Mike-Teng/Deep_Learning | lab/lab2/plot.py | plot.py | py | 798 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.average",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.ylabel",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
333459228 | import argparse
import glob
import os
import h5py
import hdbscan
import numpy as np
from scipy.ndimage import binary_erosion
from skimage.filters import gaussian
from skimage.segmentation import watershed
from sklearn.cluster import MeanShift
def expand_labels_watershed(seg, raw, erosion_iters=4):
bg_mask = seg ... | kreshuklab/takafumi_embryos_segmentation | utils/cluster.py | cluster.py | py | 4,632 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "skimage.filters.gaussian",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.binary_erosion",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "skimage.segmentation.watershed",
"line_number": 27,
"usage_type": "call"
},
{
... |
32311173285 | #import networkx as nx
#import matplotlib.pyplot as plt
import json
import pprint
from TwitterModule import *
import time
from datetime import datetime
#Set up api and global variables
twitter_api = oauth_login()#twitter api for grabbing data
#dates = [330,331,401,402,403]
dates = [401,402,403,404,405,406,407]
for day... | drewpj/cis400tweetfrequency | searchTweets.py | searchTweets.py | py | 4,925 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "datetim... |
26096479620 | from typing import final
import pandas as pd
import numpy as np
import os
final_df=pd.read_csv("prepared_final_data.csv")
print(final_df)
values=final_df["pollution"].values
print(values)
print(final_df.columns)
"""# Normalized the data"""
from sklearn.preprocessing import MinMaxScaler
# values = final_df.values
pr... | manisha841/Air-Quality-Index-Prediction | train.py | train.py | py | 3,028 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "keras.m... |
19167044996 | """
A collection of neural network code. The first part of the script includes
blocks, which are the building blocks of our models. The second part includes
the actual Pytorch models.
"""
import torch
import torchvision.transforms as transforms
class ConvBlock(torch.nn.Module):
"""
A ConvBlock represents a co... | notkarol/derplearning | derp/model.py | model.py | py | 9,661 | python | en | code | 40 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.BatchNorm2d",
... |
36562134507 | import sys
import json
import time
import numpy as np
import argparse
from operator import itemgetter
from scipy.sparse import csc_matrix
from scipy.sparse import csr_matrix
from scipy.sparse import dok_matrix
from math import sqrt
from math import log
from upper_learning_corpus import LearningCorpus
from sparse_matr... | mfaruqui/vector-semantics | src/svd/convert_counts_to_pmi.py | convert_counts_to_pmi.py | py | 4,114 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "sys.stderr.write",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"li... |
25026171656 | from flask import abort
from flask_restx import Resource, Namespace, Model, fields, reqparse
from infraestructura.alumnos_repo import AlumnosRepo
from api.cursos_api import modeloCurso
from flask_restx.inputs import date
repo = AlumnosRepo()
nsAlumno = Namespace('Alumnos', description='Administrador de Alumno')
mo... | PepoPalo/Final-Laboratorio-Diciembre2021 | Backend/api/alumnos_api.py | alumnos_api.py | py | 3,258 | python | es | code | 1 | github-code | 6 | [
{
"api_name": "infraestructura.alumnos_repo.AlumnosRepo",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_restx.Namespace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_restx.Model",
"line_number": 13,
"usage_type": "call"
},
{
"a... |
32144899005 | import pandas as pd
def read_fasta(file_path):
sequences = {"Header": [], "Sequence": []}
current_header = None
current_sequence = ""
with open(file_path, "r") as file:
for line in file:
line = line.strip()
if line.startswith(">"):
# New header found
... | txz32102/paper | util/sample.py | sample.py | py | 3,139 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 64,
"usage_type": "ca... |
23873824195 | import cv2
import os
# Input folder containing the saved images
image_folder = '/Users/tobieabel/Desktop/video_frames/ConcatVideo/'
# Output video file path
output_video_path = '/Users/tobieabel/Desktop/video_frames/Youtube/v3_a demo.mp4'
# Get the list of image files in the input folder
image_files = os.listdir(ima... | tobieabel/demo-v3-People-Counter | Create_video.py | Create_video.py | py | 1,633 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
1363723921 | from typing import Any, Dict, List, Type, TypeVar, Union
from attrs import define as _attrs_define
from attrs import field as _attrs_field
from ..types import UNSET, Unset
T = TypeVar("T", bound="FollowUpPriorityV2ResponseBody")
@_attrs_define
class FollowUpPriorityV2ResponseBody:
"""
Example:
{'de... | expobrain/python-incidentio-client | incident_io_client/models/follow_up_priority_v2_response_body.py | follow_up_priority_v2_response_body.py | py | 2,629 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "types.UNSET",
"line_number... |
37407208814 | from jinja2 import Environment, BaseLoader
from io import BytesIO
import plotly
import base64
'''
export = ExportHTML('testclass.html')
export.render()
'''
class ExportHTML:
__template_vars = {'title':'Hello World','body':'Hello World !!!'}
__template_html = '''
<html>
<head lang="en">
... | etq-quant/etqbankloan | Lib/etiqalib/export_html.py | export_html.py | py | 2,768 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "io.BytesIO",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "plotly.io",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "base64.b64encode",
"li... |
12948066350 | import matplotlib.pyplot as plt
tiempo = [0,1,2,3,4,5]
sensor = [4,5,6,8,9, 10]
plt.plot(tiempo,sensor,'--,r')
plt.title('Grafico sensor contra el tiempo')
plt.xlabel('Tiempo(s)')
plt.ylabel('Voltaje(v)')
plt.savefig('sensor.png')
plt.show()
# Nota: se le puede poner el simbolo para que se grafique('--'), si no se pon... | vero-obando/Programacion | Clases/Graficos/curvas.py | curvas.py | py | 679 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplot... |
19809320159 | import time
import constants as cons
import matplotlib.pyplot as plt
from preprocessing.images_reader import ImagesReader
start_time = time.time()
print('reading images...')
reader = ImagesReader(cons.PREPROCESSED_DATASET_DIR)
train_images = reader.read_train_images()
classes = [None] * len(train_images)
samples = ... | sachokFoX/caltech_256 | code/run_data_distribution_analysis.py | run_data_distribution_analysis.py | py | 589 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "preprocessing.images_reader.ImagesReader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "constants.PREPROCESSED_DATASET_DIR",
"line_number": 9,
"usage_type": "attribute"
},
... |
25965027391 | import json
import os
from contextlib import suppress
from math import sqrt
from typing import Tuple
import numpy as np
import pandas as pd
from openpyxl import load_workbook, styles, utils
from PIL import Image
def to_excel(
image: Image, path: str, lower_image_size_by: int = 10, **spreadsheet_kwargs
) -> None:... | Henrique-CSS/unexpected-isaves | src/unexpected_isaves/save_image.py | save_image.py | py | 24,926 | python | en | code | null | github-code | 6 | [
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_n... |
40709996191 | # coding=utf-8
from __future__ import absolute_import, division, print_function
import torch
import torch.nn as nn
from torch.utils.data import DataLoader, Dataset
from util.custom_dataset import FaceLandmarksDataset, Rescale, ToTensor
import torchvision.models as models
from torchvision import transforms
impor... | hanluyt/gACNN_pytorch | model_roi.py | model_roi.py | py | 7,947 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
29262983646 | import sys
import socket
import platform
import psutil
import wmi
import urllib.request
from PyQt5.QtWidgets import QApplication, QMainWindow, QVBoxLayout, QPushButton, QTextEdit, QWidget
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QFont, QColor
class App(QMainWindow):
def __init__(self, app):
supe... | miko7ajradziw1llowicz/Zadanie-3-python | main.py | main.py | py | 4,160 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 24,
"usage_type": "call"
},
{
"a... |
10881296356 | import unittest
from pathlib import Path
from tests import CdsTestMixin
from . import CDSCase
class DumpTest(CdsTestMixin, unittest.TestCase):
def test_trace_json(self):
with CDSCase(self, self.NAME_LIST, self.TEST_ARCHIVE) as cds:
cds.run_trace('import json')
cds.verify_files(che... | alibaba/code-data-share-for-python | tests/test_cds/test_dump.py | test_dump.py | py | 745 | python | en | code | 38 | github-code | 6 | [
{
"api_name": "tests.CdsTestMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
}
] |
70541333949 | import os
import re
import spotipy
from moviepy.editor import *
from urllib.parse import quote
from urllib import request as rq
from youtube_dl import YoutubeDL
from spotipy.oauth2 import SpotifyClientCredentials
## fix to skip use for PYTHONPATH
sys.path.append(os.getcwd())
sys.path.append(os.path.join(os.getcwd(),".... | alejan2x/FuckDownload | spotify/spotify.py | spotify.py | py | 4,850 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 12... |
26656448918 | #the code partial borrowed from
# "Neural Network-based Reconstruction in Compressed Sensing
#MRI Without Fully-sampled Training Data"
import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
import util_torch as util_torch
def absval(arr):
"""
Takes absolute value of last dimensio... | ikjalata/MRIunsup | model.py | model.py | py | 3,925 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.norm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.flatten",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number... |
23341249880 | import json as js
import csv
import sys
import jinja2
import os
from datetime import datetime
# import smtplib
# read customers file to get information about customers
def get_customers(customers_file, error):
TITLE = []
FIRST_NAME = []
LAST_NAME = []
EMAIL = []
with open(customers_file, mode='... | thanhthien272/sendEmailPython | send_email.py | send_email.py | py | 2,750 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.DictReader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number"... |
31975334850 | import numpy as np
import scipy.ndimage
import scipy.misc
import glob
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
def loadPsf(psftype, fileformat):
path='/gdata/zhoutk/Deconv/'+psftype
files=glob.glob(path+'/'+'*'+filefor... | rickyim/DeconvNet | source/PSFConv.py | PSFConv.py | py | 2,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.misc.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.misc",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "scipy.ndi... |
28118192230 | # -*- coding:utf-8 -*-
from PySide2.QtCore import Signal
from PySide2.QtWidgets import QDialog
from core.options import MultiOption
from ui.base.constants import ITEM_SEPARATORS
from ui.base.ui_add_items import Ui_AddItemsDialog
# noinspection PyTypeChecker
from utils import warn, splitItems, isEmpty
# noinspection P... | zimolab/PyInstallerGUI | ui/add_items_ui.py | add_items_ui.py | py | 2,937 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QDialog",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "ui.base.ui_add_items.Ui_AddItemsDialog",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PySide2.QtCore.Signal",
"line_number": 24,
"usage_type": "call"
},
{... |
26735943730 | import numpy as np
from .utils import LinearAnnealer,ExponentialAnnealer
import tqdm
import torch
import torch.nn as nn
import wandb
from progress.bar import Bar
from array2gif import write_gif
import copy
from .utils import set_seed
from .utils import save_rewards_meanvar_plot,get_logger,MLP,ReplayMemory
import loggi... | gauthierboeshertz/reel | algos/plearners/vpg.py | vpg.py | py | 5,225 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "copy.deepcopy",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.set_seed",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "utils.MLP",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_n... |
15257337134 | # -*- coding: utf-8 -*-
"""
Created on Sat Nov 10 17:30:55 2018
@author: Wioletta
"""
import cv2
from localbinarypatterns import LocalBinaryPatterns
img = cv2.imread('yaleB01_P00A+000E+00.pgm')
cv2.imshow('Image',img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
desc = LocalBinaryPatterns(24, 8)
hist = desc.descr... | wiolettakolasa/IO | test.py | test.py | py | 360 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_num... |
22043825261 | from flask import Response
import json
from presentation.contracts import HttpController, HttpRequest
def adapt_route(flask_request, controller: HttpController):
request = HttpRequest(
params=flask_request.args,
body=flask_request.json
)
data = controller.handle(request)
return Respons... | panda-coder/py-clean-flask | src/main/adapters/flask_route_adapter.py | flask_route_adapter.py | py | 924 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "presentation.contracts.HttpController",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "presentation.contracts.HttpRequest",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Response",
"line_number": 12,
"usage_type": "call"
},
{
... |
71174455228 | # -*- coding: utf-8 -*-
import time, functools
def metric(fn):
def decorator(func):
@functools.wraps(func)
def wrapper(*args,**kw):
print(fn) if fn.__str__()==fn else print('no metric args')
start_time=time.time()
return (func(*args,**kw),print('%s executed in %s... | kfusac/LearnPython | LiaoxuefengPython/5_FunctionalProgramming/decorator.py | decorator.py | py | 756 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 16,... |
72052703228 | import sys, json
from urllib.request import urlopen
from collections import OrderedDict
list_host = 'http://localhost:5000'
list_url = list_host + '/api/3/action/organization_list'
get_url = list_host + '/api/3/action/organization_show'
contents = urlopen(list_url)
org_list = json.load(contents)['result']
for org_n... | italia/public-opendata-sources | export_orgs.py | export_orgs.py | py | 888 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
... |
20538743319 | # https://leetcode.com/problems/rotting-oranges/
"""
Time complexity:- O(N)
Space Complexity:- O(N)
"""
"""
Intuition:
The algorithm uses Breadth-First Search (BFS) to simulate the rotting process, starting from initially rotten oranges.
The queue (q) is used to keep track of the rotten oranges and their coordinates... | Amit258012/100daysofcode | Day92/rotten_oranges.py | rotten_oranges.py | py | 2,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 23,
"usage_type": "call"
}
] |
28383267446 | import copy
import functools
import os
import random
import torch
import torch.nn.functional as F
import blobfile as bf
import torchvision.utils as vutils
import numpy as np
import torch as th
import torch.distributed as dist
from torch.nn.parallel.distributed import DistributedDataParallel as DDP
from torch.optim impo... | JTT94/schrodinger_bridge | bridge/trainer/ipf_base.py | ipf_base.py | py | 10,216 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.distributed.get_rank",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "torch.distributed",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "plotters.I... |
30728237360 | import fileinput
import sys
from collections import deque, defaultdict, Counter
from functools import lru_cache
from itertools import permutations, combinations, combinations_with_replacement, product
sys.setrecursionlimit(10000000)
dd = defaultdict(lambda: 0)
dx = [0, 0, -1, 1] # NSWE
dy = [-1, 1, 0, 0] # NSWE
p1 =... | mdaw323/alg | adventofcode2021/21.py | 21.py | py | 1,904 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "colle... |
26396707826 | # Establish the Python Logger
import logging # built in python library that does not need to be installed
import time
from datetime import datetime
import os
import talking_code as tc
speaking_log = False
speaking_steps = False
def set_speaking_log(on_off_setting = False):
global speaking_log
speak... | JoeEberle/kids_ABC_book | quick_logger.py | quick_logger.py | py | 5,079 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "talking_code.say",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"li... |
16616067005 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.common.exceptions import NoSuchElementException
import logging
def has_booking_started(url: str) -> bool:
options ... | CreatorSky/cineplex-notifier | utils/selenium_utils.py | selenium_utils.py | py | 1,128 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api... |
70929713788 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 6 11:55:47 2023
@author: Gilberto
"""
import pandas as pd
from datetime import datetime, timedelta
class StraightLineAmortization:
def __init__(self, settlement_date, maturity_date, first_payment_date, notional_amount, rate, basis_numerator, basis_deno... | gdelacruzv/Amortization_calculator | straightline_v2.py | straightline_v2.py | py | 4,582 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
29188042884 | """
Problem Statement
A zero-indexed array A of length N contains all integers from 0 to N-1.
Find and return the longest length of set S,
where S[i] = {A[i], A[A[i]], A[A[A[i]]], ... } subjected to the rule below.
Suppose the first element in S starts with the selection of element A[i]
of index = i, the next e... | walterjgsp/algorithms | Python/problems/problem_0008_array_nesting.py | problem_0008_array_nesting.py | py | 1,388 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 35,
"usage_type": "name"
}
] |
10976102669 | import numpy as np
import matplotlib.pyplot as plt
def linear_LS(xi, yi):
a = np.empty(2)
n = xi.shape[0]
c0 = np.sum(xi)
c1 = np.sum(xi ** 2)
c2 = np.sum(yi)
c3 = np.sum(xi * yi)
a[0] = (c0*c3 - c1*c2) / (c0*c0 - n*c1)
a[1] = (c0*c2 - n*c3) / (c0*c0 - n*c1)
return a
... | LiBingbin/Computational_Physics | PythonProject/hw04/hw04_t2.py | hw04_t2.py | py | 1,781 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.empty",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 10,
"... |
73730402429 | import boto3
import logging
import os
import json
import time
from datetime import datetime
from jsonpath_ng.ext import parse
import helpers
logger = logging.getLogger()
logger.setLevel(logging.INFO)
utl = helpers.Utils()
dyn = helpers.Dyn()
ssm = boto3.client('ssm')
ec2 = boto3.client('ec2')
appValue = os.getenv('T... | arturlr/minecraft-server-dashboard | lambdas/configServer/index.py | index.py | py | 8,475 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "helpers.Utils",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "helpers.Dyn",
"... |
46057888236 | # -*- coding: utf-8 -*-
import logging
import datetime
import pytz
__all__ = ['timezones']
logger = logging.getLogger('django')
def is_standard_time(time_zone, date_time):
try:
dst_delta = time_zone.dst(date_time, is_dst=False)
except TypeError:
dst_delta = time_zone.dst(date_time)
r... | nitely/Spirit | spirit/core/utils/timezone.py | timezone.py | py | 2,280 | python | en | code | 1,153 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.... |
74519748667 | import pyautogui
from random import random
import pyscreenshot as ImageGrab
import math
import cv2 as cv
from utilities import inventory as inv
from utilities.core import get_bounding_rect_from_pts
def get_pickup_rects(o_img, cnts): # returns bounding rect(s) of item(s) to pickup
items = []
line_pts = []
... | 009988b/2007scape-bot-functions | skills/combat.py | combat.py | py | 5,029 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.moments",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.line",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "math.dist",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "utilities.core.get_bounding_rect_from_... |
35613748044 | from collections import OrderedDict
# from datetime import datetime
from django.conf import settings
from django.db import models
from django.utils import timezone
from jsonfield import JSONField
# Create your models here.
class fhir_Consent(models.Model):
""" Store User:application consent in fhir format
... | shihuaxing/hhs_oauth_server | apps/fhir/fhir_consent/models.py | models.py | py | 2,578 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
30827675825 | import os
import sys
import json
import logging
from time import time
from PyQt5.Qt import PYQT_VERSION_STR
from PyQt5.QtCore import (
QT_VERSION_STR, QStandardPaths, QSysInfo, QLocale, QLibraryInfo,
QTranslator
)
from novelwriter.error import logException, formatException
from novelwriter.common import spli... | vaelue/novelWriter | novelwriter/config.py | config.py | py | 38,609 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QLocale.system",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QLocale",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "Py... |
32681042902 | import numpy as np
from .BaseNB import BaseNaiveBayes
# 高斯贝叶斯
class GaussianNaiveBayes(BaseNaiveBayes):
# 训练
def fit(self, X: np.ndarray, y: np.ndarray):
"""
X: train dataset, shape = (n_samples, n_features)
y: target, shape = (n_samples, )
"""
# 计算 y 的先验概率
y_pr... | HuipengXu/Statistical-learning-method | naive_bayes/GaussianNB.py | GaussianNB.py | py | 2,327 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "BaseNB.BaseNaiveBayes",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.size",
... |
6264519181 | import matplotlib.pyplot as plt
class Drawer():
def __init__(self,y_pred, y_test, target_names,X_test,eigenfaces):
self.y_pred=y_pred
self.y_test=y_test
self.target_names=target_names
self.X_test=X_test
self.eigenfaces=eigenfaces
def plot_gallery(self,images, titles, h... | bartekskrabacz/python_project | src/python_project/Drawer.py | Drawer.py | py | 1,774 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots_adjust",
"line_number": 15,
"usage_type": "call"
},
{
"api_... |
23995078592 | import os
from collections import deque
from typing import Dict, List, Optional, Any
import langchain
import openai
import pinecone
from langchain.chains import LLMChain
from langchain.chains.base import Chain
from langchain.agents import AgentType, ZeroShotAgent, Tool, AgentExecutor, initialize_agent
from langchain... | satpat2590/somelangchainfun | main.py | main.py | py | 13,333 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "langchain.embeddings.OpenAIEmbeddings",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "faiss.IndexFlatL2",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "langchain.vectorstores.FAISS",
"line_number": 27,
"usage_type": "call"
},
{
... |
31734423723 | import sqlite3
class sqlcommands:
def Open(self):
if self.bOpen is False:
self.conn = sqlite3.connect(self.db)
self.curs = self.conn.cursor()
self.bOpen = True
return True
def __init__(self, table):
self.db = './~newsqlcommands.sqlt3'
s... | Loondas/PythonGameTimer | GameTimer/cgi-bin/newsqlcommands.py | newsqlcommands.py | py | 4,718 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
34215736207 | import logging
import os
import gzip
import filetype
import multiprocessing as mp
import pandas as pd
from moonstone.normalization.reads.read_downsize import DownsizePair
logger = logging.getLogger(__name__)
def pair_up(seq_files_info):
paired_list = []
query = None
for key in seq_files_info:
if... | motleystate/moonstone | moonstone/normalization/reads/downsize_dir.py | downsize_dir.py | py | 7,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
18625152569 | import os
import json
import requests
from bs4 import BeautifulSoup
from datetime import datetime as dt
import pandas as pd
from __common__ import user_choice
def __load_json__(file):
"""
"""
try:
with open(file) as rf:
data = json.load(rf)
return data
except:
retu... | robbie-manolache/energy-market-analysis | nemtel/tracker.py | tracker.py | py | 6,567 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"li... |
26120509391 | import os
import sys
import csv
from collections import Counter, defaultdict
import pandas as pd
from statsmodels.stats.inter_rater import aggregate_raters, fleiss_kappa
#from pptx import Presentation
# configure Django so we can use models from the annotate app
sys.path.append('/home/nejl/Dropbox/projects/tator/rep... | ned2/tator | notebooks/utils.py | utils.py | py | 11,139 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"lin... |
2694410426 | import os
import sys
import signal
import threading
import multiprocessing
import atexit
import time
from ctypes import c_bool
from .module import StateIO
from .config import Config
class Controller:
def __init__(self, config: Config) -> None:
args, self.cfg = config.load()
self.pidfile_pa... | bitula/minipupper-dev | controller/controller.py | controller.py | py | 12,689 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "config.Config",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "config.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "atexit.register",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Array",
... |
9224654424 | # Usage
# python scripts/collect_pickle_states.py -i PICKLE_DATA_PATH
import argparse
import numpy as np
import tqdm
import structs
def collect_stats(args):
data = structs.load(args.input_path)
sample_count = []
for key in tqdm.tqdm(data):
sample_count.append(data[key]['rst'].shape[0])
val... | Tsinghua-MARS-Lab/InterSim | simulator/prediction/M2I/guilded_m_pred/scripts/collect_pickle_stats.py | collect_pickle_stats.py | py | 816 | python | en | code | 119 | github-code | 6 | [
{
"api_name": "structs.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"li... |
42168409282 | from typing import List
class Solution:
def optimalArray(self, n : int, ar : List[int]) -> List[int]:
# code here
res = []
half, full = 0, 0
for i in range(n):
full += ar[i]
if i&1:
res.append(full - 2*half)
else:
... | shane-Coder/DailyCode | Optimal Array - GFG/optimal-array.py | optimal-array.py | py | 1,007 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
30500996966 | # ---------------------------------J.A.R.V.I.S.----------------------------------
import datetime
import pyttsx3
import speech_recognition as sr
import __name__
import comtypes.client
# -----------------------------------------------------------------------------
engine = pyttsx3.init("sapi5")
voices = engi... | ArcTix-09/codes | python/J.A.R.V.I.S..py | J.A.R.V.I.S..py | py | 1,509 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyttsx3.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "speech_reco... |
25229791277 | import pandas as pd
from sklearn.metrics.pairwise import linear_kernel
from scipy.io import mmwrite, mmread
import pickle
from gensim.models import Word2Vec
# 데이터 가져오기
df_reviews = pd.read_csv('./naver_crawling_data/naver_cleaned_reviews.csv')
Tfidf_matrix = mmread('./naver_models/Tfidf_book_review.mtx').tocsr()
with ... | sealamen/project_03_book_curator | 07_book_recommendation.py | 07_book_recommendation.py | py | 1,305 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.io.mmread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec.load... |
30338122797 | from collections import deque
def bfs(graph, start):
queue = deque([start]) #방문할 노드를 넣어두는 곳
visited = [] #방문한 노드들
while queue:
v = queue.popleft()
print(v, end=" ")
if v not in visited:
visited.append(v)
queue += graph[v]
return visited
graph = [
[... | minju7346/CordingTest | bfs_test2.py | bfs_test2.py | py | 472 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
}
] |
74326542907 | import datetime
import jsonlines
# Appends json to a jsonl file
def append_to_jsonl(timeline, file_path):
print("Writing contents to jsonl...")
# Sort major events array by timestamp
sorted_timeline = sorted(timeline, key=lambda event: int(event['date']))
# Pretty print JSON of human datetime
for event in sorte... | jeromechoo/gpt-for-you | helpers/write.py | write.py | py | 618 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "jsonlines.open",
"line_number": 17,
"usage_type": "call"
}
] |
37211599965 | import numpy as np
import torch
# # np.argwhere的用法
# a=np.zeros((4,3), dtype=np.uint32)
# b=np.argwhere(np.zeros((4,3), dtype=np.uint32) == 0)
# print(a)
# print(b)
# print(type(b),b.shape)
# # reshape的用法，torch和numpy都有类似的用法
# a = torch.arange(4.)
# print(a.shape)
# a=torch.reshape(a, (2, 2))
# print(a.shape)
# b = to... | hanquansanren/unified_doctransformer | simple_test/unit_test.py | unit_test.py | py | 1,371 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.ones",
"line_number": 53,
"usage_type": "call"
}
] |
43622986430 | # -*- coding: utf-8 -*-
import html
from gi.repository import Gtk
from mcomix.preferences import config
class MessageDialogRemember(Gtk.MessageDialog):
__slots__ = ('__dialog_id', '__choices', '__remember_checkbox')
def __init__(self):
"""
Creates a dialog window.
"""
supe... | thermitegod/mcomix-lite | mcomix/message_dialog/remember.py | remember.py | py | 2,610 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "gi.repository.Gtk.MessageDialog",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "gi.repository.Gtk.CheckButton",
"line_number": 27,
"usage_type": "call"
},
{
... |
8670584413 | import cv2
import cvzone
from cvzone.PoseModule import PoseDetector
import numpy as np
cap = cv2.VideoCapture(1)
detector = PoseDetector()
per = 0
a1 = 0
color = (0,0,255)
situps = 0
dir = 0
while True:
__ , img = cap.read()
#assert isinstance(img, object)
img = detector.findPose(img)
lmlist, bbox = ... | adirastogi235/PUSH-UP-COUNTER | main.py | main.py | py | 1,392 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cvzone.PoseModule.PoseDetector",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.interp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.inte... |
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