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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
19167010026 | #!/usr/bin/env python3
"""OpenCV-based frame viewer that replays recordings and assign time-based labels"""
import argparse
from pathlib import Path
import time
import cv2
import numpy as np
import derp.util
class Labeler:
"""OpenCV-based frame viewer that replays recordings and assign time-based labels"""
d... | notkarol/derplearning | bin/label.py | label.py | py | 11,483 | python | en | code | 40 | github-code | 6 | [
{
"api_name": "derp.util.util.load_config",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "derp.util.util",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "derp.util",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "derp.util.ut... |
10648619314 | # -*- coding: utf-8 -*-
"""
Created on Wed May 6 15:04:40 2020
@author: Rijk
Scipy signal sos filter toolbox test
"""
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
plt.close('all')
b, a = signal.butter(4, 100, 'low', analog=True)
w, h = signal.freqs(b, a)
plt.figure()
plt.semilogx(w... | rehogenbirk/MEP_control_software | Measurements/20200324 WO3196dev9/Hydrogen R_T correction/0324_1904_WO3196dev9_H2ToAir/signal_toolbox_test.py | signal_toolbox_test.py | py | 1,897 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scipy.signal.butter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.s... |
21689221352 | import json
import os
import subprocess
from collections import OrderedDict
from copy import deepcopy
from sys import platform
from tabulate import tabulate
from openwpm.config import ConfigEncoder
def parse_http_stack_trace_str(trace_str):
"""Parse a stacktrace string and return an array of dict."""
stack_... | openwpm/OpenWPM | openwpm/utilities/platform_utils.py | platform_utils.py | py | 5,733 | python | en | code | 1,286 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
37950984200 | import pykka
import re
import json
from gpt_connection import GPT_Connection
from tools import ToolRunner
from frontend_utils import initial_request
from bots.Dispatcher import Dispatcher
from bots.Workflow import Workflow
from prompts import DISPATCHER_PROMPT_TEMPLATE, INITIAL_PROMPT_TEMPLATE, ITERATING_ACTION_PROM... | nhuang25/llm-composition | stuffed_animal_llc/stuffed_animal_llc.py | stuffed_animal_llc.py | py | 3,203 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gpt_connection.GPT_Connection",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tools.ToolRunner",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bots.Workflow.Workflow.start",
"line_number": 29,
"usage_type": "call"
},
{
"api_n... |
3681349954 | import json
from dataclasses import dataclass, field
from typing import Union
import requests
@dataclass
class ManyChatAPI:
api_base_url = 'https://api.manychat.com/fb/'
api_key: str
psid: str
headers: dict = field(init=False)
def __post_init__(self):
self.headers = {
'Accept... | daiangan/manychat-dialogflow-connector | utils/manychat_helpers.py | manychat_helpers.py | py | 3,304 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "dataclasses.field",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_n... |
37568035732 | # import statements
import nltk
import sys
import pandas as pd
import re
from nltk import pos_tag
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.tokenize import word_tokenize, sent_tokenize
from sqlalchemy import create_engine
# d... | goitom/project_2_disaster_response | data/process_data.py | process_data.py | py | 3,643 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"li... |
74550779386 |
import torch
from torch import Tensor, nn
import torchvision
import os
import numpy as np
class Normalize:
def __init__(self, n_channels, expected_values, variance):
self.n_channels = n_channels
self.expected_values = expected_values
self.variance = variance
assert self.n_channels... | Mr-Ace-1997/SGBA-A-Stealthy-Scapegoat-Backdoor-Attack-against-Deep-Neural-Networks | utils_universal_trigger.py | utils_universal_trigger.py | py | 10,352 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
37520613786 | import pandas as pd
import redis
from redisgraph import Graph
from config import redisgraph_config
from pathlib import Path
def redisgraph_import_csv(output: Path) -> None:
r = redis.Redis(host=redisgraph_config['host'], port=redisgraph_config['port'])
graph_name = 'movie_graph'
redis_graph = Graph(graph_... | Wojaqqq/graph_data_exchange_tool | imports/redisgraph_import_csv.py | redisgraph_import_csv.py | py | 2,156 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "redis.Redis",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.redisgraph_config",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "redisgraph.Graph",
... |
39227047564 | import os
import numpy as np
import scipy.io.wavfile as wavfile
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import normalize
from utils import read_textgrid
from numpy_operation import get_martix
from python_speech_features import mfcc
from python_speech_features import ... | MakerFace/voice-activation-system | feature_extractor.py | feature_extractor.py | py | 1,510 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile.read",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "numpy.float32",
... |
2896601636 | from dotenv import load_dotenv
import discord
from discord.ext import commands
import os
import re
load_dotenv()
token = os.getenv('DISCORD_TOKEN')
commMark = os.getenv('COMMAND_MARKER')
description = 'Discord administration bot'
intents = discord.Intents.default()
intents.message_content = True
intents.members ... | Srs2311/gene.py | gene.py | gene.py | py | 4,778 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.Intents.default",
"l... |
33670502801 | import sqlite3
import sys
from PyQt6.QtWidgets import QApplication, QLabel, QWidget, QGridLayout, \
QLineEdit, QPushButton, QMainWindow, QTableWidget, QTableWidgetItem, QDialog, \
QVBoxLayout, QComboBox, QToolBar, QStatusBar, QMessageBox
from PyQt6.QtGui import QAction, QIcon
from PyQt6.QtCore import Qt
# ... | KelvinBrannonJr/Student_Mangement_System | main.py | main.py | py | 13,372 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtWidgets.QMainWindow",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtGui.QAction",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "PyQt6... |
30353175971 | import sys
import os
from os.path import splitext
import glob
from common import TestCase
def get_tests():
"""Get all the tests to run.
"""
files = glob.glob('test_*.py')
return files
def run_all(tests):
"""Run the given tests.
"""
args = ' '.join(sys.argv[1:])
success = []
fail = ... | enthought/mayavi | integrationtests/mayavi/run.py | run.py | py | 2,323 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "common.TestCase",
"line_number"... |
29969829561 | """
MongoDB Interaction - A simple example for future developments
Fabio Bove | fabio.bove.dr@gmail.com
"""
#!/usr/bin/env python
# coding: utf-8
# Imports
from pymongo import MongoClient
class MongoUtils:
def __init__(self, auth_param: str, collection_name: str, database_name: str, data: dict) -> None:
... | fabiobove-dr/mongo-db-interaction-utils | src/MongoUtils.py | MongoUtils.py | py | 5,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 42,
"usage_type": "call"
}
] |
88489070 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
CS224N 2018-19: Homework 5
model_embeddings.py: Embeddings for the NMT model
Pencheng Yin <pcyin@cs.cmu.edu>
Sahil Chopra <schopra8@stanford.edu>
Anand Dhoot <anandd@stanford.edu>
Michael Hahn <mhahn2@stanford.edu>
"""
import torch.nn as nn
# Do not change these imp... | abgoswam/CS224N-Natural-Language-Processing-with-Deep-Learning | a5/model_embeddings.py | model_embeddings.py | py | 3,223 | python | en | code | 18 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
18211764194 | import argparse
import os
import unittest
from bin.get_alleles_from_srst2_mlst import get_mismatch_and_depth, get_new_and_existing_alleles, write_alleles_file, get_arguments
class TestProcessResults(unittest.TestCase):
TEST_OUTPUT_PREFIX = 'test'
TEST_FILE = 'tests/test_data/input/test__mlst__Streptococcus_aga... | sanger-bentley-group/GBS-Typer-sanger-nf | tests/get_alleles_from_srst2_mlst_test.py | get_alleles_from_srst2_mlst_test.py | py | 3,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "bin.get_alleles_from_srst2_mlst.get_mismatch_and_depth",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bin.get_alleles_from_srst2_mlst.get_new_and_existing_alleles",
"... |
26040479196 | from __future__ import annotations
from dataclasses import dataclass
from typing import Iterable
from pants.backend.javascript import install_node_package
from pants.backend.javascript.install_node_package import (
InstalledNodePackageRequest,
InstalledNodePackageWithSource,
)
from pants.backend.javascript.no... | pantsbuild/pants | src/python/pants/backend/javascript/run/rules.py | rules.py | py | 2,379 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.core.goals.run.RunFieldSet",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pants.backend.javascript.package_json.NodeBuildScriptEntryPointField",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pants.backend.javascript.package_json.NodeP... |
13255530705 | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from math import sqrt
from scipy import stats
import warnings
warnings.filterwarnings("ignore")
from statsmodels.formula.api import ols
from sklearn.metrics import mean_squared_error, r2_score, explained_variance_score, mean_... | RyvynYoung/COVID | svi_capstone/scripts_python/model_MAE.py | model_MAE.py | py | 12,076 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_selection.RFE",
"line_number": 27,
"usage_type": "call"
},... |
44191894536 | from django.conf.urls import url # include is adding then
from django.contrib import admin
from .views import(
post_home,
post_delete,
post_update,
post_edit,
post_create,
post_save,
)
urlpatterns = [
url(r'^$',post_home),
url(r'^delete/$',post_delete),
url(r'^updat... | hmoshabbar/DjangoProject | posts/urls.py | urls.py | py | 442 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "views.post_home",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "views.p... |
27009635088 | from sklearn.ensemble import AdaBoostRegressor
from sklearn.ensemble import RandomForestRegressor, ExtraTreesRegressor, GradientBoostingRegressor
def run(x_train, y_train, x_test, y_test,
base_estimator, estimator_params, n_estimators, learning_rate, loss, random_state):
base_estimator = getEstimator(base... | lisunshine1234/mlp-algorithm-python | machine_learning/regression/Ensemble methods/AdaBoostRegressor/run.py | run.py | py | 1,615 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.ensemble.AdaBoostRegressor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.GradientBoostingRegressor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.ExtraTreesRegressor",
"line_number": 32,
"u... |
20632320396 | import struct
import typing
from .base_bean import BaseBean
from .config import Config
from .ctrl_enum import EnumDevice, EnumCmdType, EnumFanDirection, EnumOutDoorRunCond, EnumFanVolume, EnumControl, \
EnumSensor, FreshAirHumidification, ThreeDFresh
from .dao import Room, AirCon, Geothermic, Ventilation, HD, Devi... | mypal/ha-dsair | custom_components/ds_air/ds_air_service/decoder.py | decoder.py | py | 27,763 | python | en | code | 65 | github-code | 6 | [
{
"api_name": "struct.unpack",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "ctrl_enum.EnumDevice.SYSTEM... |
36321645754 | import pygame
from dino_runner.components.dinosaur import Dinosaur
from dino_runner.components.obstacles.obstacle_manager import ObstacleManager
from dino_runner.components.player_hearts.player_heart_manager import PlayerHeartManager
from dino_runner.components.power_ups.power_up_manager import PowerUpManager
from dino... | Shrinmi/JS-Dino-Runner-Grupo-1 | dino_runner/components/game.py | game.py | py | 5,940 | python | en | code | null | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dino_runner.utils.constants.TITLE",
"line_number": 14,
"usage_type": "argument"
},
{
"api_... |
15720162505 | from collections import deque
def solution(msg):
answer = []
ord_index = 64
cach = dict()
queue = deque()
cach_index = 27
for string in msg:
if len(queue) == 0:
queue.append(string)
elif len(queue) != 0:
queue.append(string)
queue_string = ''... | grohong/Beajoon_Algorism | 프로그래머즈/[3차]압축/main.py | main.py | py | 1,011 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
32144143111 | from datetime import date
from twilio.rest import TwilioRestClient
# To find these visit https://www.twilio.com/user/account
ACCOUNT_SID = "AC937af250fc201a2c44aad667cf309fa4"
AUTH_TOKEN = "6a8accce5860c8f18391bf4ec809d84b"
client = TwilioRestClient(ACCOUNT_SID, AUTH_TOKEN)
for message in client.messages.list():
... | suparna-ghanvatkar/EBMP | show_text.py | show_text.py | py | 515 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "twilio.rest.TwilioRestClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 16,
"usage_type": "call"
}
] |
35848057912 | import matplotlib.pyplot as plt
def visualize(n, x, y, file_name):
plt.scatter(x, y)
plt.xlabel('x coordinate')
plt.ylabel('y coordinate')
plt.title(file_name + ': Number of points: %d' % n)
plt.show()
def read_from_file(file_name):
coord_x = []
coord_y = []
with open(file_name, 'r') ... | klauchek/Python_3sem | matplotlib_lab/task1.py | task1.py | py | 744 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mat... |
40687860073 | import wsgiserver
from flask import Flask, jsonify
def check_quota_response(**kwargs):
response = kwargs['response']
return jsonify({
'version': 1,
'payload': {
'emptyWallet': not response,
},
})
def setup_flask_server(json_response):
app = Flask(__name__)
ap... | magma/magma | lte/gateway/python/magma/pipelined/check_quota_server.py | check_quota_server.py | py | 868 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "flask.jsonify",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wsgiserver.WSGIServer",
"line_number": 31,
"usage_type": "call"
}
] |
14037338740 | import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.family']='serif'
plt.rcParams['font.serif']=['Times New Roman'] + plt.rcParams['font.serif']
plt.rcParams['mathtext.fontset']='stix'
plt.rcParams['font.size']=10
cm = 1/2.54
Bubble0 = np.genfromtxt("Bubble_0/KellerMiksis_R5.000e-06_fa1.570e+04_pa-... | polycfd/apecss | examples/binaryinteraction/plot_result.py | plot_result.py | py | 2,384 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 5,
"usage_type": "attribute"
},
{
"ap... |
32839631812 | import torch
from diffusers import DiffusionPipeline
def torch_device():
if torch.cuda.is_available():
return "cuda"
if torch.backends.mps.is_available() and torch.backends.mps.is_built():
return "mps"
return "cpu"
def pipeline(model="stabilityai/stable-diffusion-xl-base-0.9", device=tor... | 2132660698/sdxl-demos | utils.py | utils.py | py | 906 | python | en | code | null | github-code | 6 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.mps.is_available",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
19271968449 |
import MDAnalysis
import satoshi_pca as SAS
path = "/lustre7/home/lustre3/satoshi/MED"
TRR = ["/aff4/test_all.trr", "/eaf1/test_all.trr", "/taf7/test_all.trr",
"/aff4_kai/run_all.trr", "/eaf1_kai/run_all.trr",
"/taf7_kai/run_all.trr"]
PDB = ["/aff4/HEN.pdb", "/eaf1/HEN.pdb", "/taf7/HEN.pdb",
... | satoshi-python/Desktop | all_pca_kai.py | all_pca_kai.py | py | 4,342 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "MDAnalysis.Universe",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "satoshi_pca.pca",
"line_number": 122,
"usage_type": "call"
}
] |
34321388716 | from datetime import datetime, timedelta
import os
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators import (StageToRedshiftOperator,
LoadFactOperator,
DataQualityOperator)
from airflow.operators.subdag... | supratim94336/SparkifyDataPipelineWithAirflow | airflow/dags/udacity_dag.py | udacity_dag.py | py | 3,401 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
39227052944 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import os
import numpy as np
import scipy.io.wavfile as wav
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.constraints import maxno... | MakerFace/voice-activation-system | mfcc-model.py | mfcc-model.py | py | 2,823 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "prepare_data.load_data_from_npy",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "prepare_dat... |
9000442932 | # 测试
# 开发时间：2022/8/5 9:26
from thop import profile
# import torchvision.models as models
# import torch
from ptflops import get_model_complexity_info
from models.basicblock import DRB, PALayer, CALayer, CCALayer, SRB
from models.SwinT import SwinT
# from .FCVit import fcvit_block
# from .FCA import MultiSpectralAttenti... | sad192/LISN-Infrared-Image-SR | models/network_hybrid.py | network_hybrid.py | py | 9,368 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.transpose",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"l... |
8804328521 | import pytest
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from datetime import datetime
from BaseTest import BaseTest
from Helper import Helper
from selenium.webdriver.support.ui import WebDriverWait
from se... | Shreyasi2205/MyPOMProject | tests/test_NewsArchive.py | test_NewsArchive.py | py | 27,544 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "BaseTest.BaseTest",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "pytest.mark",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark",
"line_number": 90,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark",
... |
30650525881 | # Matrix Game experiment
# Author: Lucas Cassano
# Paper: "Logical Team Q-learning"
# ===================================
# Import necessary packages
from absl import app
from absl import flags
import numpy as np
import matplotlib.pyplot as plt
import q_mix
flags.DEFINE_string('save_path', '/tmp/', 'directory to save... | lcassano/Logical_Team_Q_Learning_paper | matrix_game/run_matrix_exp.py | run_matrix_exp.py | py | 6,910 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "absl.flags.DEFINE_string",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "absl.flags",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
648716471 | import glob
import logging
import os
import cv2
import numpy as np
import torch
from torch.utils.data import Dataset
from tqdm import tqdm
logfilepath = "" # 따로 지정하지 않으면 terminal에 뜸
if os.path.isfile(logfilepath):
os.remove(logfilepath)
logging.basicConfig(filename=logfilepath, level=logging.INFO)
... | DeepFocuser/PyTorch-Detector-alpha | classification/core/utils/dataprocessing/dataset.py | dataset.py | py | 4,393 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "os.path.isfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line... |
43589412425 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
df = None
# In[2]:
from reaktoro import *
import numpy as np
from natsort import natsorted
from tqdm.notebook import tqdm
import os
from bokeh.io import show, output_notebook
from bokeh.layouts import column
from bokeh.plotting import figure
from bokeh.models import... | nimaamp/Reactive-transport | Nima Benchmark!.py | Nima Benchmark!.py | py | 11,252 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "tqdm.notebook.tqdm",
... |
25793507679 | # -*-coding:utf-8-*-
__author__ = 'BING'
from django.http import HttpResponse
from django.shortcuts import render,render_to_response
from zhihupaper import apiUse,singelNews,latestNews,beforeNews
import re
from getPic import GetPic
def home(request):
api = apiUse()
news = latestNews(api)
count = news.getnu... | codeBing/zhihudaily | paper/views.py | views.py | py | 2,087 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "zhihupaper.apiUse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "zhihupaper.latestNews",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
17435427439 | import pytest
import pdb
from typing import List
class Solution:
def fullJustify(self, words: List[str], maxWidth: int) -> List[str]:
"""
"""
def intertwine(ws, sps):
# one word + one sps appended
t = []
for w, s in zip(ws, sps):
... | naubull2/codingtests | leetcode/quick-prep/68_Text_Justification/solution.py | solution.py | py | 2,224 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "pytest.main",
... |
18882639437 | #! /usr/bin/env python3
import sys
import json
from flask import Flask, request
app = Flask(__name__)
def is_browser(ua_string):
return ua_string.split('/')[0].lower() == 'mozilla'
@app.route("/")
def hello():
msg_content = "Hello World!"
if is_browser(request.headers['User-Agent']):
return "... | glennneiger/estate-backend | example/simple.py | simple.py | py | 770 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.dumps",
... |
30575157530 | from Domain.BuildEnumMethods import BuildEnumMethods
from .UtilityScriptBase import UtilityScriptBase
import logging
from .Exceptions.ArgNotFoundException import ArgNotFoundException
import json
from mongoengine import connect
import pandas
from Domain.EquityCorporateData import EquityCorporateData
class LoadNasdaqTi... | jminahan/backtest_framework | UtilityRunner/UtilityScripts/LoadNasdaqTickers.py | LoadNasdaqTickers.py | py | 2,352 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "UtilityScriptBase.UtilityScriptBase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "UtilityScriptBase.UtilityScriptBase.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "UtilityScriptBase.UtilityScriptBase",
"line_number": 13,
... |
16866363316 | import pytorch_lightning as pl
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.optim.lr_scheduler as lr_scheduler
import torch
from torchmetrics import Accuracy
from loss import create_criterion
class Backbone(nn.Module):
def __init__(self):
super(Backbone, ... | KyubumShin/MNIST_pl | model.py | model.py | py | 2,306 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
21998644026 | from typing import List
class Trie:
def __init__(self):
self.L = 30
self.left = None
self.right = None
def insert(self, val: int):
node = self
for i in range(self.L, -1, -1):
bit = (val >> i) & 1
if bit == 0:
if not node.left:
... | hangwudy/leetcode | 1700-1799/1707. 与数组中元素的最大异或值.py | 1707. 与数组中元素的最大异或值.py | py | 1,735 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 46,
"usage_type": "name"
}
] |
38447711574 | import sys
import os
import json
from parse import validate_file
if __name__ == '__main__':
outputs_dir = sys.argv[1]
submission_name = sys.argv[2]
submission = {}
for input_path in os.listdir("inputs"):
graph_name = input_path.split('.')[0]
output_file = f'{outputs_dir}/{graph_name}.ou... | Sea-Snell/170project | prepare_submission.py | prepare_submission.py | py | 588 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numbe... |
10972428124 | #
# train.py
# @author amangupta0044@gmail.com
# @description
# @created 2020-12-09T16:35:56.524Z+05:30
# @last-modified 2020-12-11T20:05:30.671Z+05:30
#
########### Help ###########
'''
python train.py \
--data_dir /Users/aman.gupta/Documents/eagleview/utilities/onsite_data_fetch/fetched_images/annotated_combine... | aman0044/resnet-classifier | train.py | train.py | py | 6,456 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 64,
"usage_type": "call"
},
{
"api_nam... |
2140106274 | import numpy as np
from pyqtgraph.Qt import QtGui, QtCore
import init_multi as im
import func_multi as fm
'''
BEGING PROGRAM
'''
# функция отрисовки изображения, использует convert() для получения данных из fifo
def showTrack(i):
x1, y1 = fm.ellipseCreate(20+5*i, 30, 50, 70-3*i, 0.05*i)
im.ellipse1.setData(x1... | NazimAliev/public | embedded/passive-radar-fpga-dsp-arm/multix86/main_multi.py | main_multi.py | py | 1,879 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "func_multi.ellipseCreate",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "init_multi.ellipse1.setData",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "init_multi.ellipse1",
"line_number": 14,
"usage_type": "attribute"
},
{
"api... |
22094537095 | import logging
import datetime
import sqlite3
import voluptuous as vol
from homeassistant.helpers.event import async_track_time_interval
from homeassistant.core import callback
from homeassistant.helpers import config_validation as cv
_LOGGER = logging.getLogger(__name__)
DOMAIN = 'hasentinel'
CONFIG_SCHEMA = vol.Sc... | dennis-bell/HASentinel | custom_components/hasentinel/__init__.py | __init__.py | py | 3,269 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "voluptuous.Schema",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "voluptuous.Schema",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "voluptuous.All",... |
72532883709 | import os
from pathlib import Path
import s4l_v1
import s4l_v1.analysis.viewers as viewers
import s4l_v1.document as document
import s4l_v1.model as model
import s4l_v1.simulation.emfdtd as fdtd
import s4l_v1.units as units
from dotenv import load_dotenv
from osparc_isolve_api import run_simulation
from s4l_v1._api.ap... | ITISFoundation/osparc-simcore | tests/public-api/examples/s4l_tutorial.py | s4l_tutorial.py | py | 3,834 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"l... |
8665336110 | from selenium import webdriver
import time
from selenium.webdriver.common.action_chains import ActionChains
browser = webdriver.Chrome()
browser.get("http://www.baidu.com/")
browser.maximize_window()
time.sleep(3)
browser.find_element_by_id("kw").send_keys("哈哈")
# 定位百度一下按钮
name = browser.find_element_by_id("su")
# 右击
#... | Zshuangshuang/Reload | 2021_03_12自动化学习/src2021_03_12/testDemo12.py | testDemo12.py | py | 472 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriv... |
27061966352 | __all__ = [
"InvalidPaddingError",
"find_potential_ecb",
"pad_pkcs_7",
"strip_pkcs_7",
"detect_potential_repeating_ecb_blocks",
"ecb_encrypt",
"cbc_encrypt_prepadded",
"ecb_decrypt",
"cbc_encrypt",
"cbc_decrypt",
"ctr_transcrypt"
]
# noinspection PyPackageRequirements
# fals... | BrendanCoughlan/cryptopals | block_crypt.py | block_crypt.py | py | 3,652 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bitfiddle.brake_into_keysize_blocks",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Crypto.Cipher.AES.new",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "Crypto.Cipher.AES",
"line_number": 64,
"usage_type": "name"
},
{
"api_n... |
34839802828 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 21 01:32:51 2021
@author: vidhy
"""
from fastapi import FastAPI, File, UploadFile, Request
import uvicorn
import numpy as np
from io import BytesIO
from PIL import Image
import requests
from starlette.middleware.cors import CORSMiddleware
from starlette.responses import ... | VidhyaGupta/Potato-Disease-Classification | api/main-tf-serving.py | main-tf-serving.py | py | 1,938 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "starlette.middleware.cors.CORSMiddleware",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "starlette.responses.RedirectResponse",
"line_number": 49,
"usage_type": "cal... |
37857057401 | #! /usr/bin/env python3
from uuid import uuid4 as uuid
import argparse
import pika
from protos import events
if __name__ == '__main__':
p = argparse.ArgumentParser()
p.add_argument("--exchange", required=True)
p.add_argument("--pretty-print", default=False, action='store_true')
args = p.parse_args()
... | cjmcgraw/studious-carnival | rabbitmq/read-from-exchange.py | read-from-exchange.py | py | 959 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnection",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 16,
"usage_type": "call"
},
{
"api_nam... |
25231399833 | #! /usr/bin/env python
# encoding: utf-8
# vim: ai ts=4 sts=4 et sw=4
##
##
## @author Nadia
## nadia@gmail.com/joel@gmail.com
##
from coreapp.appmodel.models import CrecheParent, CrecheChild, PARENT_CHILD_RELATION
from coreapp.service.base_service import BaseService
from coreapp.service.child_service import ChildSe... | projet2019/Creche_Parentale | creche/coreapp/service/parent_service.py | parent_service.py | py | 7,616 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "coreapp.service.base_service.BaseService",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "coreapp.service.base_service.BaseService.__init__",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "coreapp.service.base_service.BaseService",
"line_n... |
29210359176 | import streamlit as st
from PIL import Image
import numpy as np
def app():
display = Image.open('./Attendance-management.jpg')
display = np.array(display)
st.image(display)
st.markdown(""" <style> .font {
font-size:20px ; font-family: 'Cooper Black'; text-align: center; color: #00000... | dest-royer02/Attendance_Application | pages/welcomePage.py | welcomePage.py | py | 468 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.image",
"line_number"... |
2026763119 | import hashlib
import os
import shutil
import zipfile
import numpy as np
def extract_aab(aab_file, extract_dir):
"""
解压aab文件到指定目录
:param aab_file: aab文件路径
:param extract_dir: 解压目录
"""
with zipfile.ZipFile(aab_file, 'r') as z:
print(extract_dir)
z.extractall(extract_dir)
def g... | Nienter/mypy | personal/aabcom.py | aabcom.py | py | 2,731 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,... |
6581285508 | from django.http import HttpResponse
from django.http import HttpResponse
import requests
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
import uuid
reference_id = uuid.uuid4()
def login(request):
url = "https://test.cashfree.com/api/v1/order/create"
pa... | Gunarjith/verceldeploy | masterlink/views.py | views.py | py | 1,350 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "uuid.uuid4",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 35,
"usage_type": "call"
}
] |
36895861215 | from __future__ import print_function
from builtins import chr
from builtins import zip
from builtins import map
from builtins import str
from builtins import filter
from builtins import range
from builtins import object
import getopt
import gzip
import locale
import operator
import os
import re
import shutil
import ... | cfv-project/cfv | test/test.py | test.py | py | 74,606 | python | en | code | 46 | github-code | 6 | [
{
"api_name": "locale.getpreferredencoding",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "builtins.filter",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "builtins.filter",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "builtin... |
20194791845 | # -*- coding: utf-8 -*-
import datetime
import json
import sys
from threading import Thread
from resources.lib.common import tools
from resources.lib.indexers.trakt import TraktAPI
from resources.lib.modules import database
from resources.lib.modules.trakt_sync.shows import TraktSyncDatabase
from resources.lib.module... | Ed57/plugin.video.seren | resources/lib/gui/tvshowMenus.py | tvshowMenus.py | py | 39,641 | python | en | code | null | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "resources.lib.indexers.trakt.TraktAPI",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "res... |
2000640644 | import webapp2
import jinja2
from google.appengine.api import users
from google.appengine.ext import ndb
import os
from snippets import Words
# from Tkinter import *
JINJA_ENVIRONMENT=jinja2.Environment(loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.ext.autoescape'],
autoescape=True
)
... | yolo117/Anagram-Checker | add.py | add.py | py | 5,784 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jinja2.Environment",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
8372518963 | import pycosat
from pprint import pprint
# number of cells in sudoku
NUM_CELLS = 81
# this can be used to interate all squares subset in 3x 3
# V V V
# 1 2 3 4 5 6 7 8 9
#> 1 |0 0 0| 0 0 0| 0 0 0|
# 2 |0 0 0| 0 0 0| 0 0 0|
# 3 |0 0 0| 0 0 0| 0 0 0|
# ---------------------
#> 4 |0 0 0| 0 0 0| 0 ... | macartur/programming_ai | sudoku.py | sudoku.py | py | 6,456 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pycosat.solve",
"line_number": 185,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 204,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 208,
"usage_type": "call"
}
] |
43111552824 | from typing import Any, Dict, Iterable
import pandas as pd
from fugue import DataFrame, FugueWorkflow, PandasDataFrame, out_transform, transform
from fugue.constants import FUGUE_CONF_WORKFLOW_CHECKPOINT_PATH
def test_transform():
pdf = pd.DataFrame([[1, 10], [0, 0], [1, 1], [0, 20]], columns=["a", "b"])
d... | ofili/Wrangle-and-Analyze-Data | venv/Lib/site-packages/tests/fugue/test_interfaceless.py | test_interfaceless.py | py | 3,306 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "fugue.transform",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFra... |
38416857272 | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from core.models import *
from recipe.serializers import RecipeSerializer, RecipeDetailSerializer
RECIPE_URL = reverse('recipe:re... | deveshp530/recipe-app-api | app/recipe/tests/test_recipe.py | test_recipe.py | py | 6,459 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.reverse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "rest_fra... |
25950565947 | import sys
import fileinput
import csv
import operator
import numpy as np
import scipy.spatial.distance as sd
import pickle
#python compare_google.py [google_match-norm] [avg-$count-norm] states.p statescores$count
google = []
matrix = []
infile = sys.argv[2]
google_reader = csv.reader(open(sys.argv[1], 'rb'), deli... | kris-samala/LBSN | data_analysis/compare_states.py | compare_states.py | py | 1,233 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number"... |
72580436348 | from fastapi import FastAPI
from pydantic import BaseModel
from fastapi.middleware.cors import CORSMiddleware
from reconocer_form import analyze_general_documents
from base_datos import crear_registro
import asyncio
app = FastAPI()
origins = ["*"]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
... | jefryne/web_placas | ia/detectar documento/api.py | api.py | py | 898 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 19,
"usage_type": "name"
},
{
"api_... |
11816060482 | import numpy as np
import torch
with open("pdtSEIKA.csv", "r") as f:
f_reader = np.loadtxt(f, delimiter=',', dtype=np.float32)
predict = f_reader
f.close()
tensor = torch.from_numpy(np.load(r"C:\Users\cchen\PycharmProjects\LearnPyTorch/K05_excluded_xyz.npy")) # 101778,
# 15,10,10
with open("ai__K05_SEIKA... | cchenyixuan/Banira | utils/predict_map.py | predict_map.py | py | 545 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.from_numpy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line... |
16813784584 | import os
import copy
from typing import Dict
import numpy as np
import torch
from collections import defaultdict
from hsp.algorithms.population.policy_pool import PolicyPool
from hsp.runner.shared.base_runner import make_trainer_policy_cls
from hsp.utils.shared_buffer import SharedReplayBuffer
from hsp.algorithms.popu... | samjia2000/HSP | hsp/algorithms/population/trainer_pool.py | trainer_pool.py | py | 15,925 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "hsp.algorithms.population.policy_pool.PolicyPool",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 22,
"usage_type": "call"
},
{
... |
18680639270 | import collections
import torchvision.transforms as transforms
import os
import json
try:
from IPython import embed
except:
pass
_DATASETS = {}
Dataset = collections.namedtuple(
'Dataset', ['trainset', 'testset'])
def _add_dataset(dataset_fn):
_DATASETS[dataset_fn.__name__] = dataset_fn
return... | awslabs/aws-cv-task2vec | datasets.py | datasets.py | py | 12,841 | python | en | code | 96 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Normalize",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 25,
"usage_type": "name"
},
{
"ap... |
14052300522 | # vim set fileencoding=utf-8
from setuptools import setup
with open('README.rst') as f:
long_description = f.read()
setup(
name = 'AnthraxEplasty',
version = '0.0.3',
author = 'Szymon Pyżalski',
author_email = 'zefciu <szymon@pythonista.net>',
description = 'Anthrax - generating forms from Elep... | zefciu/anthrax-eplasty | setup.py | setup.py | py | 1,242 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
}
] |
71737201468 | from typing import List
from project.appliances.appliance import Appliance
from project.people.child import Child
class Room:
def __init__(self, name: str, budget: float, members_count: int):
self.family_name = name
self.budget = budget
self.members_count = members_count
self.chi... | tonytech83/Python-OOP | OOP_Exams/11_OOP_22_Aug_2020/hotel_everland/project/rooms/room.py | room.py | py | 1,573 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "project.people.child.Child",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "project.appliances.appliance.Appliance",
"line_number": 32,
"usage_type": "argument"
}
] |
38907524035 | """Create category
Revision ID: bc8fb2b5aaaa
Revises: cf3388347129
Create Date: 2023-05-06 09:44:36.431462
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'bc8fb2b5aaaa'
down_revision = 'cf3388347129'
branch_labels = None
depends_on = None
def upgrade() -> No... | rasimatics/excursio-backend | migrations/versions/bc8fb2b5aaaa_create_category.py | bc8fb2b5aaaa_create_category.py | py | 1,266 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
32989650417 | from flask_wtf import FlaskForm
from wtforms import StringField, IntegerField, SelectField
from wtforms.validators import InputRequired, Optional
sizes = ['XS','S', 'M', 'L', 'XL']
ratings = [1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5,
6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0]
class AddCupcakeFo... | BradButler96/flask-cupcakes | forms.py | forms.py | py | 825 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.InputRequired",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
71375478588 | # Import the utils
import math
import sys
import os
sys.path.append(os.path.abspath('../QUtils'))
from qutils import pprint, graph
# Import the QISKit SDK
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
# Create a Quantum Register with 2 qubits.
q = QuantumRegister(3)... | maddy-tod/quantum | Code/MonteCarlo/NormalTest.py | NormalTest.py | py | 1,675 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
27054375172 | import numpy as np
import pandas as pd
import config
import sys
import tensorflow as tf
from keras import Sequential
from keras.layers import Dense
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from service.Preprocess import Preprocess
from service.FeatureEngineer... | kalinVn/new_york_city_taxi_fare_predicton | service/TaxiFaresPredictionNYC.py | TaxiFaresPredictionNYC.py | py | 2,573 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.Sequential",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "service.Preprocess.Preprocess",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "service.FeatureEngineer.FeatureEngineer",
"line_number": 32,
"usage_type": "call"
},
{... |
38048663522 | from constants import API_STACK_BASE_URL
import requests
import sys
class IpStack:
def __init__(self, api_token: str, base_url: str):
if base_url is None or base_url == '':
base_url = API_STACK_BASE_URL
self.api_token = api_token
self.base_url = base_url
def get_ip_locati... | AlejandroGC-SS/ip_stack_interface | ip_stack.py | ip_stack.py | py | 1,318 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "constants.API_STACK_BASE_URL",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys... |
72609945147 | import requests
from parsel import Selector
url='http://www.porters.vip/verify/uas/index.html'
# headers = {
# 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.3'}
headers = {'User-Agent': 'PostmanRuntime/7.26.2',
'Host': 'www.porters.vip'... | 0xdeciverAngel/anti-web-crawler | user agent.py | user agent.py | py | 569 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "parsel.Selector",
"line_number": 14,
"usage_type": "call"
}
] |
8784244942 | import os
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import logout
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import redirect, render
from django.urls import reverse, revers... | simranmadhok/Venter_CMS | Venter/views.py | views.py | py | 9,673 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Venter.forms.CSVForm",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": ... |
30364500871 | import sys
import mock
import six
from okonomiyaki.errors import InvalidMetadataField
from ..python_implementation import PythonABI, PythonImplementation
from hypothesis import given
from hypothesis.strategies import sampled_from
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unitt... | enthought/okonomiyaki | okonomiyaki/platforms/tests/test_python_implementation.py | test_python_implementation.py | py | 4,083 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "python_implementation.PythonImplementation",
"line_number": 30,
"usage_type": "call"
},
... |
33548298905 | import sys
import argparse
import tensorflow as tf
from keras.models import Model, load_model
from keras.layers import TimeDistributed, Conv1D, Dense, Embedding, Input, Dropout, LSTM, Bidirectional, MaxPooling1D, \
Flatten, concatenate
from keras.initializers import RandomUniform
from keras.callbacks import EarlySt... | guardiaum/DeepEx | CNN_BLSTM_fit_hyperparams.py | CNN_BLSTM_fit_hyperparams.py | py | 6,299 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "keras.layers.Input",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "keras.layers.Embedding",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "keras.layers.Input",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "keras.la... |
655237097 | import os
from glob import glob
import numpy as np
import pandas as pd
try:
import imageio.v2 as imageio
except ImportError:
import imageio
from tqdm import tqdm
from xarray import DataArray
from elf.evaluation import dice_score
def run_prediction(input_folder, output_folder):
import bioimageio.core
... | constantinpape/torch-em | experiments/unet-segmentation/livecell/check_cell_type_performance.py | check_cell_type_performance.py | py | 2,148 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
... |
16540523617 | import os
import sys
from nuitka.utils.FileOperations import (
areSamePaths,
isFilenameBelowPath,
isFilenameSameAsOrBelowPath,
)
from nuitka.utils.Utils import (
isAndroidBasedLinux,
isFedoraBasedLinux,
isLinux,
isMacOS,
isPosixWindows,
isWin32Windows,
withNoDeprecationWarning,
... | Nuitka/Nuitka | nuitka/PythonFlavors.py | PythonFlavors.py | py | 6,933 | python | en | code | 10,019 | github-code | 6 | [
{
"api_name": "PythonVersions.python_version",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "sys.implementation",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.subversion",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_nam... |
11838557066 | import pickle
import os
import sys
import numpy as np
import json_tricks as json
import cv2
import torch
import copy
import random
import torchvision.transforms as transforms
from glob import glob
from tqdm import tqdm
from PIL import Image
from natsort import natsorted
import matplotlib.pyplot as plt
from scipy.spati... | Qingwei-Li98/PoseEstimation | core/utils/infant_dataset.py | infant_dataset.py | py | 8,713 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 22,
"usage_type": "name"
},
{
"a... |
13879303932 | #!/usr/local/bin/python3.7
# -*- coding: utf-8 -*-
# @Time : 2020-06-20 16:15
# @Author : 小凌
# @Email : 296054210@qq.com
# @File : test_06_audit.py
# @Software: PyCharm
import json
import unittest
import ddt
from common.excel_handler import ExcelHandler
from common.http_handler import visit
from middlerware.h... | galaxyling/api-framework | testcases/test_06_audit.py | test_06_audit.py | py | 3,807 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "middlerware.handler.Handler.logger",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "middlerware.handler.Handler",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "middlerware.handler.Handler.excel",
"line_number": 17,
"usage_type": ... |
16543939917 | import functools
def makeTable(grid):
"""Create a REST table."""
def makeSeparator(num_cols, col_width, header_flag):
if header_flag == 1:
return num_cols * ("+" + (col_width) * "=") + "+\n"
else:
return num_cols * ("+" + (col_width) * "-") + "+\n"
def normalizeCe... | Nuitka/Nuitka | nuitka/utils/Rest.py | Rest.py | py | 927 | python | en | code | 10,019 | github-code | 6 | [
{
"api_name": "functools.reduce",
"line_number": 17,
"usage_type": "call"
}
] |
39972780174 | #!/usr/bin/env python3
# ------------------------------------------------------------------------
# MIDI Control for SignalFlow
# ------------------------------------------------------------------------
from signalflow import *
import configparser
import logging
import mido
import os
logger = logging.getLogger(__name... | ideoforms/signalflow | auxiliary/libs/signalflow_midi/signalflow_midi.py | signalflow_midi.py | py | 6,131 | python | en | code | 138 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_... |
19621184365 | #import libraries
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
"""
This tutorial from the AI at UCLA's technical blog post:
https://uclaacmai.github.io/Linear-Regression
"""
testlines = []
testans = []
trainlines = []
trainans = []
for line in open("boston2.txt", 'r').readlines()[0:100]... | canders1/COMSC343 | _site/pdf/regression_class.py | regression_class.py | py | 1,961 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_... |
10380773430 | import torch.nn as nn
from ..builder import BACKBONES
from .base_backbone import BaseBackbone
@BACKBONES.register_module()
class RMNet(BaseBackbone):
def __init__(self, depth,frozen_stages=-1):
super(RMNet, self).__init__()
self.frozen_stages = frozen_stages
self.conv1 = nn.Conv2d(3, 64, ker... | fxmeng/mmclassification | mmcls/models/backbones/rmnet.py | rmnet.py | py | 2,851 | python | en | code | null | github-code | 6 | [
{
"api_name": "base_backbone.BaseBackbone",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.BatchNorm2d... |
3477657730 | import logging
import posixpath
from collections import defaultdict
from typing import TYPE_CHECKING, Callable, Dict, Generator, Optional, Tuple
from ...stash import ExpStashEntry
from ..base import BaseExecutor
from ..ssh import SSHExecutor, _sshfs
from .base import BaseExecutorManager
if TYPE_CHECKING:
from scm... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc/repo/experiments/executor/manager/ssh.py | ssh.py | py | 3,336 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "base.BaseExecutorManager",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "ssh.S... |
6497432832 | from stock_util import StockUtil
from logger import Logger
from stock_db import StockDb
import time
import threading
import requests
from pandas import DataFrame
import pandas as pd
class StockMon():
def __init__(self):
self.logger = Logger("StockMon")
self.util = StockUtil()
def... | jia-zhang/fp-client | lib/stock_mon.py | stock_mon.py | py | 9,923 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logger.Logger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "stock_util.StockUtil",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"l... |
5073225846 | import asyncio
import logging
import aiohttp
import aiohttp.server
logger = logging.getLogger(__name__)
class ProxyRequestHandler(aiohttp.server.ServerHttpProtocol):
"""
Inspired by https://github.com/jmehnle/aiohttpproxy
Copyright Julian Mehnle, Apache License 2.0
"""
def __init__(self):
... | raphaelm/cockatiel | functional_tests/utils_proxy.py | utils_proxy.py | py | 2,602 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "aiohttp.server",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "aiohttp.request",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "asyncio.coroutin... |
36208434520 | import multiDownload as dl
import pandas as pd
import sqlite3
import json
import os
from datetime import datetime, timedelta
import shutil
import argparse
import jieba
from jieba import analyse
from wordcloud import WordCloud
from opencc import OpenCC
import requests
import emoji
with open("scripts/config.json", "r") ... | arthurfsy2/Postcrossing_map_generator | scripts/createPersonalPage.py | createPersonalPage.py | py | 15,829 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
30543923938 | import sys
import numpy as np
import torch
from tqdm import tqdm
import matplotlib.pyplot as plt
from Preprocessor import Preprocessor
"""
Dataset Snapshot:
Dataset A:
Normal
Murmur
Extra Heart Sound
Artifact
Dataset B:
Normal
Murmur
Extrasystole
"""
class PASCAL(Preprocessor):
def... | kendreaditya/heart-auscultation | src/preprocess/PASCAL-dataset.py | PASCAL-dataset.py | py | 2,173 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "Preprocessor.Preprocessor",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"... |
40696691343 | import asyncio
import re
from collections import namedtuple
from magma.magmad.check import subprocess_workflow
DEFAULT_NUM_PACKETS = 4
DEFAULT_TIMEOUT_SECS = 20
PingCommandParams = namedtuple(
'PingCommandParams',
['host_or_ip', 'num_packets', 'timeout_secs'],
)
PingInterfaceCommandParams = namedtuple(
... | magma/magma | orc8r/gateway/python/magma/magmad/check/network_check/ping.py | ping.py | py | 5,786 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
41495871576 | from rdkit import Chem
import argparse
import math
import os
from sklearn.metrics import mean_squared_error, r2_score
from statistics import stdev
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Calculate the RMSD value for a molecular property.')
parser.add_argument('--original', '-o'... | sophiahoenig/NetworkBalanceScaling | utils/evaluate_results.py | evaluate_results.py | py | 6,038 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext... |
43193724256 | # -*- coding: utf-8 -*-
import streamlit as st
from topics import TopicModel
import pandas as pd
import numpy as np
from scipy.optimize import linear_sum_assignment
import matplotlib.pyplot as plt
import base64
@st.cache(allow_output_mutation=True)
def load_corpus(url):
return tm.load_corpus(url)
# check the cach... | michaelweiss/topic-model-explorer | old/topic_model_explorer_stability.py | topic_model_explorer_stability.py | py | 8,264 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "streamlit.cache",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "streamlit.spinner",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "streamlit.cache",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "streamlit.spinner",... |
26857827694 | import os
import numpy as np
import torch
import torch.nn as nn
class Generator(nn.Module):
def __init__(self, latent_dim, img_shape):
super().__init__()
self.img_shape = img_shape
self.label_embed = nn.Embedding(10, 10)
def block(in_feat, out_feat, normalize=True):
la... | zeroone-universe/GM4MNIST | models/cGAN/model.py | model.py | py | 1,673 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
36264192726 | from PyQt5.QtCore import QModelIndex, pyqtSignal, pyqtSlot, QVariant, QFile, QByteArray, QBuffer, QIODevice, QSize, \
QItemSelectionModel, QItemSelection
from PyQt5.QtGui import QPixmap, QFont, QIcon
from PyQt5.QtSql import QSqlQuery
from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QDialog, QMessageBox
f... | drug173/Python | applications/Tree1/widget1.py | widget1.py | py | 13,903 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QFont",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PyQt... |
25755944520 | import unittest
from datetime import date, datetime
from constants import (
STATUS_IN_PROGRESS,
STATUS_COMPLETED,
TASK_UPDATED,
PRIORITY_HIGH,
PRIORITY_MEDIUM,
PRIORITY_LOW,
TASK1,
TASK2,
TASK3
)
from main import app, bd
from models.task_model import Task
from repository.task_reposi... | dan9Protasenia/task-management | tests/test_task_service.py | test_task_service.py | py | 5,950 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "main.app.testing",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "main.app",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "main.app.config... |
39690983841 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="visbeat",
version="0.0.9",
author="Abe Davis",
author_email="everyonehasadance@gmail.com",
description="Code for 'Visual Rhythm and Beat' SIGGRAPH 2018",
long_description=long_descript... | abedavis/visbeat | setup.py | setup.py | py | 1,170 | python | en | code | 220 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 34,
"usage_type": "call"
}
] |
35228257702 | #!/usr/bin/env python
"""Visualisation.py: Visualise data from simulation"""
__author__ = "Murray Ireland"
__email__ = "murray@craftprospect.com"
__date__ = "22/10/2018"
__copyright__ = "Copyright 2017 Craft Prospect Ltd"
__licence___ = ""
import vtk
import numpy as np
from math import tan, sin, cos, atan, pi
# impo... | Craft-Prospect/CubeSatVis | python/visualisation.py | visualisation.py | py | 24,867 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "platform.system",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "win32api.GetSystemMetrics",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Tkinter.Tk"... |
74291021627 | import math
import numpy as np
from scipy.spatial import ConvexHull
class LOS_guidance():
def __init__(self, params):
self.ship_max_speed = params['ship_max_speed']
self.ship_ax_vel_lim = params['ship_ax_vel_lim']
self.ship_lat_acc_pos_lim = params['ship_lat_acc_pos_lim']
self.ship_... | spacedoge2320/Ship-OA-sim | Ship-OA-sim/Guidance_algorithms.py | Guidance_algorithms.py | py | 28,641 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "math.atan2",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_nu... |
29147674060 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import requests
import bs4
# In[2]:
'http://books.toscrape.com/catalogue/page-2.html'
# In[3]:
'http://books.toscrape.com/catalogue/page-3.html'
# In[4]:
base_url = 'http://books.toscrape.com/catalogue/page-{}.html'
# In[5]:
base_url.format('20')
# In[... | maylinaung/python-learning | web_scrabing_book_example.py | web_scrabing_book_example.py | py | 1,427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
13859758386 | import bs4
import requests
from bs4 import BeautifulSoup
SUPPORTED_LANGUAGES = ("EN", "__test__")
def scrape_oxford_learners_dictionary(word: str) -> list[str]:
def url(i: int) -> str:
return (
f"https://www.oxfordlearnersdictionaries.com"
f"/definition/english/{word}_{i}"
... | pavelkurach/vocab-builder | src/dict_scrapers.py | dict_scrapers.py | py | 1,687 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bs4.Tag",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "bs4.Tag",
"line_numbe... |
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