text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> shandler = logging.StreamHandler(sys.stdout)
shandler.setLevel(log_level)
shandler.setFormatter(formatter)
logger.addHandler(shandler)<|fim_prefix|># repo: zommiommy/soap_incident_client path: /soap_incident_client/utils/logger.py
import os
import sys
import logging
logger = logging.getL... | code_fim | medium | {
"lang": "python",
"repo": "zommiommy/soap_incident_client",
"path": "/soap_incident_client/utils/logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
pubsub = PubSubFactory("google")
pubsub.Subscribe("devnet_tests_downstream", printlogs)
while True:
time.sleep(1)<|fim_prefix|># repo: sdgithubber/devnet path: /runner.py
from google_pubsub import GooglePubSub
import time
import pubsub
def PubSubFactory(pr... | code_fim | easy | {
"lang": "python",
"repo": "sdgithubber/devnet",
"path": "/runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sdgithubber/devnet path: /runner.py
from google_pubsub import GooglePubSub
import time
import pubsub
<|fim_suffix|> if provider == "google":
return GooglePubSub()
def printlogs(message):
print message
if __name__ == '__main__':
pubsub = PubSubFactory("google")
... | code_fim | easy | {
"lang": "python",
"repo": "sdgithubber/devnet",
"path": "/runner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def printlogs(message):
print message
if __name__ == '__main__':
pubsub = PubSubFactory("google")
pubsub.Subscribe("devnet_tests_downstream", printlogs)
while True:
time.sleep(1)<|fim_prefix|># repo: sdgithubber/devnet path: /runner.py
from google_pubsub import GooglePubSub
impo... | code_fim | medium | {
"lang": "python",
"repo": "sdgithubber/devnet",
"path": "/runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wangxl12/TurtleDraw path: /references/雪花.py
import turtle as p
import random
"""turtle.hideturtle() #将画笔隐藏
turtle.setup(width,height,startx,trarty):设置窗体大小
turtle.goto(x,y):直接到达（x,y）位置
turtle.fd(d):朝海龟的正前方前进 turtle.forward(d) 功能类似
turtle.bk(d):朝海龟的后方前进 turtle.forward(d) 功能类似
turtle.circle(r,ang... | code_fim | hard | {
"lang": "python",
"repo": "wangxl12/TurtleDraw",
"path": "/references/雪花.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> p.setup(800, 600, 0, 0) #设置显示窗口大小，和画笔初始位置
# p.tracer(False)
p.bgcolor("black")
# p.tracer(False) #设置动画开关，可以用来加速绘画，不显示过程。默认为ture显示过程
snow(30)
ground(20)
p.mainloop() #画图执行的命令或者p.done()
main()<|fim_prefix|># repo: wangxl12/TurtleDraw path: /references/雪花.py
import turtle... | code_fim | medium | {
"lang": "python",
"repo": "wangxl12/TurtleDraw",
"path": "/references/雪花.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ts_mock = mocker.patch.object(demisto, 'results')
algosec_query()
assert results_mock.call_args[0][0]['Contents'] == [{'some_info': 'info: test'}]<|fim_prefix|># repo: demisto/content path: /Packs/Algosec/Scripts/AlgosecQuery/AlgosecQuery_test.py
import demistomock as demisto
def test_algosec_q... | code_fim | medium | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/Algosec/Scripts/AlgosecQuery/AlgosecQuery_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: demisto/content path: /Packs/Algosec/Scripts/AlgosecQuery/AlgosecQuery_test.py
import demistomock as demisto
def test_algosec_query(mocker):
"""
Given:
- response mock.
When:
- running AlgosecQuery script.
Then:
- Ensure that the results were built correc... | code_fim | medium | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/Algosec/Scripts/AlgosecQuery/AlgosecQuery_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_environments(self):
return self.service_endpoints.keys()
def get_services(self, environment=DEFAULT_ENVIRONMENT):
return self.service_endpoints[environment].keys()
def get_endpoint(self, environment=DEFAULT_ENVIRONMENT, service=None):
return self.service_endpo... | code_fim | hard | {
"lang": "python",
"repo": "abesto/practical-microservices",
"path": "/fibpro/servicedir.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abesto/practical-microservices path: /fibpro/servicedir.py
from config import (PROD_HOSTNAME, PROD_PORT, DEV_HOSTNAME, SERVICE_CONFIG_FILE, DEFAULT_SERVICE_DIR_ENDPOINT, DEFAULT_ENVIRONMENT)
from rpc import Client, Server, ServerConfig
from util import load_config, dict_map_string
from logsink im... | code_fim | hard | {
"lang": "python",
"repo": "abesto/practical-microservices",
"path": "/fibpro/servicedir.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>og2.helpers.js',
]
return {'toplinks':a, 'depends':['jquery']}<|fim_prefix|># repo: WisdomZheng/plugs path: /plugs/ui/bootstrap/template_plugins/jqdialog2.py
def call():
a = ['bootstrap/jquery.dialog2/jquery.dialog2.css',
'bootstrap/jquery.dialog2/jquery.controls.js',
... | code_fim | medium | {
"lang": "python",
"repo": "WisdomZheng/plugs",
"path": "/plugs/ui/bootstrap/template_plugins/jqdialog2.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WisdomZheng/plugs path: /plugs/ui/bootstrap/template_plugins/jqdialog2.py
def call():
a = ['bootstrap/jquery.dialog2/jquery.dialog2.css',
'bootstrap/jquery.dialog2/jquery.controls.js',
'bootstrap/jquer<|fim_suffix|>og2.helpers.js',
]
return {'toplinks':a, 'de... | code_fim | medium | {
"lang": "python",
"repo": "WisdomZheng/plugs",
"path": "/plugs/ui/bootstrap/template_plugins/jqdialog2.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: satra/nipype path: /nipype/interfaces/tests/test_auto_XNATSink.py
# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..io import XNATSink
<|fim_suffix|> for key, metadata in list(input_map.items()):
for metakey, value in list(metadata.it... | code_fim | hard | {
"lang": "python",
"repo": "satra/nipype",
"path": "/nipype/interfaces/tests/test_auto_XNATSink.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> best_adv['img'] = current_adv.data.clone()
best_adv['original_label'] = orig_l.cpu().numpy()
best_adv['adversarial_label'] = pred_l.cpu().numpy()
best_adv['distance'] = np.mean((current_adv - orig_x).cpu().numpy()**2)
def post_process_reconst(self, reconst, x):
... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook",
"path": "/Chapter08/Testing Adversarial-Robustness of Neural Networks/abs_models/attack_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update_adv(self, best_adv, current_adv, pred_l, orig_l, orig_x):
best_adv['img'] = current_adv.data.clone()
best_adv['original_label'] = orig_l.cpu().numpy()
best_adv['adversarial_label'] = pred_l.cpu().numpy()
best_adv['distance'] = np.mean((current_adv - orig_x).c... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook",
"path": "/Chapter08/Testing Adversarial-Robustness of Neural Networks/abs_models/attack_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook path: /Chapter08/Testing Adversarial-Robustness of Neural Networks/abs_models/attack_utils.py
import foolbox
import foolbox.attacks as fa
import numpy as np
import torch
from abs_models import utils as u
from abs_models import models
... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Machine-Learning-for-Cybersecurity-Cookbook",
"path": "/Chapter08/Testing Adversarial-Robustness of Neural Networks/abs_models/attack_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yunqingqing/exercise path: /code/python/day12/day12.py
"""请实现一个函数,输入一个整数,输出该数二进制表示中的1的个数.
"""
import unittest
def number_of_1(num):
count = 0
<|fim_suffix|> self.assertEqual(number_of_1(0), 0)
self.assertEqual(number_of_1(1), 1)
self.assertEqual(number_of_1(10), 2)
... | code_fim | medium | {
"lang": "python",
"repo": "yunqingqing/exercise",
"path": "/code/python/day12/day12.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_1(self):
self.assertEqual(number_of_1(0), 0)
self.assertEqual(number_of_1(1), 1)
self.assertEqual(number_of_1(10), 2)
self.assertEqual(number_of_1(0x7FFFFFFF), 31)
self.assertEqual(number_of_1(0xFFFFFFFF), 32)
if __name__ == '__main__':
unittest.m... | code_fim | medium | {
"lang": "python",
"repo": "yunqingqing/exercise",
"path": "/code/python/day12/day12.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kdungs/adventofcode path: /2015/python/22.py
from collections import namedtuple
from copy import deepcopy
import functools as ft
import itertools as it
Player = namedtuple('Player', ['hp', 'mana', 'armor'])
Boss = namedtuple('Boss', ['hp', 'dmg'])
def compose(f, g):
def compose_impl(*args,... | code_fim | hard | {
"lang": "python",
"repo": "kdungs/adventofcode",
"path": "/2015/python/22.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>spells = {
'Magic Missile': {
'cost': 53,
'instant': damage_spell(4)
},
'Drain': {
'cost': 73,
'instant': compose(damage_spell(2), heal_spell(2))
},
'Shield': {
'cost': 113,
'turns': 6,
'instant': armor_spell(7),
'cleanup'... | code_fim | hard | {
"lang": "python",
"repo": "kdungs/adventofcode",
"path": "/2015/python/22.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thoongnv/yosim path: /yosim/locations/migrations/0001_initial.py
# -*- coding: utf-8 -*-
# Generated by Django 1.10.8 on 2017-12-25 16:33
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
<|... | code_fim | medium | {
"lang": "python",
"repo": "thoongnv/yosim",
"path": "/yosim/locations/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Location',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=128)),
('server', mod... | code_fim | medium | {
"lang": "python",
"repo": "thoongnv/yosim",
"path": "/yosim/locations/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
app.run(port=5001, debug=True)<|fim_prefix|># repo: marcinbodnar/debugger path: /mock-node/src/near/dash_mock_node/app.py
from flask import (
Flask,
jsonify,
)
from near.dash_mock_node import client
app = Flask(__name__)
action_fns = {
'get-observer-data': c... | code_fim | medium | {
"lang": "python",
"repo": "marcinbodnar/debugger",
"path": "/mock-node/src/near/dash_mock_node/app.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marcinbodnar/debugger path: /mock-node/src/near/dash_mock_node/app.py
from flask import (
Flask,
jsonify,
)
<|fim_suffix|>
@app.route('/<action>', methods=['GET'])
def get_action(action):
action_fn = action_fns[action]
value = action_fn()
return jsonify(value)
if __name__ =... | code_fim | medium | {
"lang": "python",
"repo": "marcinbodnar/debugger",
"path": "/mock-node/src/near/dash_mock_node/app.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samuelcolvin/fastapi path: /docs_src/additional_status_codes/tutorial001_an_py39.py
from typing import Annotated, Union
from fastapi import Body, FastAPI, status
from fastapi.responses import JSONResponse
<|fim_suffix|>@app.put("/items/{item_id}")
async def upsert_item(
item_id: str,
na... | code_fim | medium | {
"lang": "python",
"repo": "samuelcolvin/fastapi",
"path": "/docs_src/additional_status_codes/tutorial001_an_py39.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.put("/items/{item_id}")
async def upsert_item(
item_id: str,
name: Annotated[Union[str, None], Body()] = None,
size: Annotated[Union[int, None], Body()] = None,
):
if item_id in items:
item = items[item_id]
item["name"] = name
item["size"] = size
return... | code_fim | medium | {
"lang": "python",
"repo": "samuelcolvin/fastapi",
"path": "/docs_src/additional_status_codes/tutorial001_an_py39.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imdaveho/intermezzo path: /intermezzo/__init__.py
import os
import platform
import intermezzo
from ._ffi import ffi
PKGPATH = os.path.dirname(os.path.abspath(__file__))
OS = platform.system()
ARCH = platform.machine()
lib = None
# TODO: differentiate between 32-bit and 64-bit
if OS == 'Windows... | code_fim | hard | {
"lang": "python",
"repo": "imdaveho/intermezzo",
"path": "/intermezzo/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return lib.RuneWidth(ord(r))
@staticmethod
def is_ambiguous_width(r):
is_ambiguous = lib.IsAmbiguousWidth(ord(r))
if is_ambiguous == 0:
return False
elif is_ambiguous == 1:
return True
@staticmethod
def fill_left(s, w):
ffi_... | code_fim | hard | {
"lang": "python",
"repo": "imdaveho/intermezzo",
"path": "/intermezzo/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uber/causalml path: /tests/test_datasets.py
import pytest
from causalml.dataset import (
simulate_nuisance_and_easy_treatment,
simulate_hidden_confounder,
simulate_randomized_trial,
)
from causalml.dataset import (
get_synthetic_preds,
get_synthetic_summary,
get_synthetic... | code_fim | hard | {
"lang": "python",
"repo": "uber/causalml",
"path": "/tests/test_datasets.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> preds_train, preds_valid = get_synthetic_preds_holdout(
synthetic_data_func=simulate_nuisance_and_easy_treatment,
n=1000,
estimators={
"S Learner (LR)": LRSRegressor(),
"T Learner (XGB)": XGBTRegressor(),
},
)
assert (
preds_trai... | code_fim | hard | {
"lang": "python",
"repo": "uber/causalml",
"path": "/tests/test_datasets.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_get_synthetic_auuc():
preds_dict = get_synthetic_preds(
synthetic_data_func=simulate_nuisance_and_easy_treatment,
n=1000,
estimators={
"S Learner (LR)": LRSRegressor(),
"T Learner (XGB)": XGBTRegressor(),
},
)
auuc_df = get_synt... | code_fim | hard | {
"lang": "python",
"repo": "uber/causalml",
"path": "/tests/test_datasets.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Parameters
----------
obj : object
The object to use to create the seed.
bits : nonnegative integer.
Number of bits needed for the seed. This function can produce
a maximum of 512 bits from a Unicode or string object.
Returns
-------
seed : integer
... | code_fim | hard | {
"lang": "python",
"repo": "mdickinson/pcgrandom",
"path": "/pcgrandom/seeding.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if numbytes > len(digest):
raise ValueError(
"Cannot provide more than {} bits of seed.".format(
8 * len(digest)))
return int.from_bytes(digest[:numbytes], byteorder="big") >> excess
raise TypeError(
"Unable to create seed from ... | code_fim | hard | {
"lang": "python",
"repo": "mdickinson/pcgrandom",
"path": "/pcgrandom/seeding.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mdickinson/pcgrandom path: /pcgrandom/seeding.py
# Copyright 2017 Mark Dickinson
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | code_fim | hard | {
"lang": "python",
"repo": "mdickinson/pcgrandom",
"path": "/pcgrandom/seeding.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>delR",
"ModelS",
"InfoPolicy",
"Lenience",
"HystericQ",
"CommBias",
"RandomPolicy",
]<|fim_prefix|># repo: vbhatt-cs/inference-based-messaging path: /signaling-games/algs/__init__.py
from .model_free_value import (
IQL,
IQ,
CentralizedQLearning,
InfoQ,
)
from .mode... | code_fim | hard | {
"lang": "python",
"repo": "vbhatt-cs/inference-based-messaging",
"path": "/signaling-games/algs/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vbhatt-cs/inference-based-messaging path: /signaling-games/algs/__init__.py
from .model_free_value import (
IQL,
IQ,
CentralizedQLearning,
InfoQ,
)
from .model_agents im<|fim_suffix|>delR",
"ModelS",
"InfoPolicy",
"Lenience",
"HystericQ",
"CommBias",
"Rando... | code_fim | hard | {
"lang": "python",
"repo": "vbhatt-cs/inference-based-messaging",
"path": "/signaling-games/algs/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MasiCal354/gateflow path: /gateflow/externals/indodax/dataframe.py
from .client import IndodaxClient
import requests
import pandas as pd
import numpy as np
class IndodaxDataFrame:
def __init__(self, key, secret, pairs,
requests_session=requests.Session()):
self.__cl... | code_fim | hard | {
"lang": "python",
"repo": "MasiCal354/gateflow",
"path": "/gateflow/externals/indodax/dataframe.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pairs = self._get_pairs()
client = self._get_client()
frames = list()
for pair in pairs:
currency = pair.split('_')[0]
paired_currency = pair.split('_')[1]
resp = client.order_history(pair)
frame = pd.DataFrame(resp['return']... | code_fim | hard | {
"lang": "python",
"repo": "MasiCal354/gateflow",
"path": "/gateflow/externals/indodax/dataframe.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
Input is "<neutral> word word </neutral> <positive> word word word </positive> <negative> word word word </negative> word ..."
Returns a list of sentences in the format
['word word word', 1] if positive
or ['word word word', 0] if neutral
or ['word word word', -1] if... | code_fim | hard | {
"lang": "python",
"repo": "elisa-aleman/EntropyBasedSVM",
"path": "/Posi-Nega-Neutra_Tagged-Sentence-Parsing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: elisa-aleman/EntropyBasedSVM path: /Posi-Nega-Neutra_Tagged-Sentence-Parsing.py
#-*- coding: utf-8 -*-
####################################
########## Training Data ##########
####################################
def PosiNegaSentences(comment):
'''
Input is "word word <positive> word w... | code_fim | hard | {
"lang": "python",
"repo": "elisa-aleman/EntropyBasedSVM",
"path": "/Posi-Nega-Neutra_Tagged-Sentence-Parsing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yc2013501516/Unofficial-Zhihu-API path: /train_workspace/helper.py
# coding: utf-8
import numpy as np
import os
import string
from pai_image import ImageCaptcha
from random import choice
from tqdm import tqdm
from ufzh import zhihu
from PIL import Image
from io import BytesIO
import shutil
cha... | code_fim | hard | {
"lang": "python",
"repo": "yc2013501516/Unofficial-Zhihu-API",
"path": "/train_workspace/helper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return file_names
# 生成模拟数据，模拟知乎的验证码，只有这样才能获得大量训练数据
def gen_simulated_img(images_path, num_imgs=10000, captcha_num=4, width=150, height=60, font_sizes=range(45,50)):
'''
默认只需要传入生成图片的路径即可,如果路径不存在则新建,如果存在则追加图片(用户可以自行删除已有的图片)
'''
if not os.path.exists(images_path):
os.makedirs(ima... | code_fim | hard | {
"lang": "python",
"repo": "yc2013501516/Unofficial-Zhihu-API",
"path": "/train_workspace/helper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def mark(num=50):
client=zhihu.Zhihu()
dirname="mark"
if os.path.exists(dirname):
shutil.rmtree('mark')
os.mkdir(dirname)
captchaURL = r"https://www.zhihu.com/captcha.gif?type=login"
print("\n\n"+"*"*50)
print("开始测试验证码识别功能")
for i in tqdm(range(num), ncols=50):
... | code_fim | hard | {
"lang": "python",
"repo": "yc2013501516/Unofficial-Zhihu-API",
"path": "/train_workspace/helper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: databill86/HyperFoods path: /src/torch/legacy/nn/Linear.py
import math
import torch
from .Module import Module
from .utils import clear
class Linear(Module):
def __init__(self, inputSize, outputSize, bias=True):
super(Linear, self).__init__()
self.weight = torch.Tensor(outp... | code_fim | hard | {
"lang": "python",
"repo": "databill86/HyperFoods",
"path": "/src/torch/legacy/nn/Linear.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def accGradParameters(self, input, gradOutput, scale=1):
assert input.dim() == 2
self.gradWeight.addmm_(scale, gradOutput.t(), input)
if self.bias is not None:
# update the size of addBuffer if the input is not the same size as the one we had in last updateGradInput... | code_fim | hard | {
"lang": "python",
"repo": "databill86/HyperFoods",
"path": "/src/torch/legacy/nn/Linear.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ChrisLR/Python-Roguelike-Template path: /combat/attacks/__init__.py
from combat.attacks.melee import Melee<|fim_suffix|>s.ranged import FireWeapon, ThrowWeapon<|fim_middle|>Attack
from combat.attacks.unarmed import Punch, Bite, Claw
from combat.attack | code_fim | medium | {
"lang": "python",
"repo": "ChrisLR/Python-Roguelike-Template",
"path": "/combat/attacks/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>rt Punch, Bite, Claw
from combat.attacks.ranged import FireWeapon, ThrowWeapon<|fim_prefix|># repo: ChrisLR/Python-Roguelike-Template path: /combat/attacks/__init__.py
from combat.attacks.melee import Melee<|fim_middle|>Attack
from combat.attacks.unarmed impo | code_fim | easy | {
"lang": "python",
"repo": "ChrisLR/Python-Roguelike-Template",
"path": "/combat/attacks/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.pool = nn.MaxPool2d(kernel_size,
stride=stride, padding=padding, dilation=dilation,
return_indices=return_indices, ceil_mode=ceil_mode)
def forward(self, x):
(*batch, height, width, channels) = x.shape
x = x.view(-1, height, width, channels)
... | code_fim | hard | {
"lang": "python",
"repo": "cbarrick/toys",
"path": "/toys/layers/pool.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cbarrick/toys path: /toys/layers/pool.py
from typing import Sequence
import torch
from torch import nn
class MaxPool2d(nn.Module):
def __init__(self, kernel_size, **kwargs):
super().__init__()
stride = kwargs.setdefault('stride', kernel_size)
padding = kwargs.setdef... | code_fim | medium | {
"lang": "python",
"repo": "cbarrick/toys",
"path": "/toys/layers/pool.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> datasetID = parsedResponseProject.json()['dataSets'][i]['id'];
if datasetID == None:
return None
return datasetID;
def getFieldID(self,fieldName,parsedResponseProject):
datasetID = None
for i in range(0,parsedResponseProject.json()['f... | code_fim | hard | {
"lang": "python",
"repo": "AlanRosenthal/iSENSE-API",
"path": "/Python/class/API.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r = requests.post(url, data=json.dumps(payload), headers=headers)
def postDatasetHorizontal(self,fields,title,data):
timestamp = time.time()
timestamp_reformatted = datetime.datetime.fromtimestamp(timestamp).strftime('%Y-%m-%d %H:%M:%S')
parsedResponseProject = self.p... | code_fim | hard | {
"lang": "python",
"repo": "AlanRosenthal/iSENSE-API",
"path": "/Python/class/API.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlanRosenthal/iSENSE-API path: /Python/class/API.py
import requests,json,time,datetime
baseUrl = 'http://rsense-dev.cs.uml.edu/api/v1/';
class Isense:
def __init__(self,projectID,contributorKey,contributorName):
self.projectID = projectID
self.contributorKey = contributorKe... | code_fim | hard | {
"lang": "python",
"repo": "AlanRosenthal/iSENSE-API",
"path": "/Python/class/API.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uehara1414/anime-face-collector path: /api/image.py
from PIL import Image
import cv2
import requests
from .util import get_suffix
class InvalidImageFormatError(BaseException):
pass
<|fim_suffix|> if cropped.size[0] <= min_size[0] or cropped.size[1] <= min_size[1]:
raise Invalid... | code_fim | hard | {
"lang": "python",
"repo": "uehara1414/anime-face-collector",
"path": "/api/image.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ret = requests.get(link, allow_redirects=False)
suffix = get_suffix(link)
if not suffix:
raise InvalidImageFormatError("不正なファイルです ( 処理が面倒くさいから省いてるだけ )")
filename = "images/tmp/tmp{}".format(suffix)
open(filename, "wb").write(ret.content)
return filename<|fim_prefix|># rep... | code_fim | hard | {
"lang": "python",
"repo": "uehara1414/anime-face-collector",
"path": "/api/image.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> suffix = get_suffix(link)
if not suffix:
raise InvalidImageFormatError("不正なファイルです ( 処理が面倒くさいから省いてるだけ )")
filename = "images/tmp/tmp{}".format(suffix)
open(filename, "wb").write(ret.content)
return filename<|fim_prefix|># repo: uehara1414/anime-face-collector path: /api/image.... | code_fim | medium | {
"lang": "python",
"repo": "uehara1414/anime-face-collector",
"path": "/api/image.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NeoGeographyToolkit/StereoPipeline path: /src/asp/IceBridge/gen_ortho.py
asepath + '/../bin') # for packaged ASP
icebridgepath = os.path.abspath(basepath + '/../IceBridge') # IceBridge tools
toolspath = os.path.abspath(basepath + '/../Tools') # ASP Tools
# Prepend to Python path... | code_fim | hard | {
"lang": "python",
"repo": "NeoGeographyToolkit/StereoPipeline",
"path": "/src/asp/IceBridge/gen_ortho.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # There is no need for this file to exist unless it is stray junk
if os.path.exists(tempOrtho):
os.remove(tempOrtho)
# If needed, generate a temporary camera file to correct a mounting rotation.
# - When the camera mount is rotated 90 degree... | code_fim | hard | {
"lang": "python",
"repo": "NeoGeographyToolkit/StereoPipeline",
"path": "/src/asp/IceBridge/gen_ortho.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def sanitise(row):
return tuple(int(b) if type(b) == numpy.bool_ else b for b in row)
hdf_table = f['variants']
names = [name.lower() if name in ['CHROM', 'POS'] else name for name, dtype in hdf_table.dtype.descr]
types = [dtype_to_column_type(dtype) for name, dtype in hdf_table.dtype.descr]
columns... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/panoptes",
"path": "/importscripts/HDF5_to_SQL.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>subs = ','.join(['%s ' for name in names])
names = ','.join(names)
pbar = pb.ProgressBar(widgets=widgets, maxval=len(hdf_table)).start()
step_size = 500
for start in range(0, len(hdf_table), step_size):
end = min(start + step_size, len(hdf_table))
cur.executemany("INSERT INTO "+table+" (" + names... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/panoptes",
"path": "/importscripts/HDF5_to_SQL.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/panoptes path: /importscripts/HDF5_to_SQL.py
#!/usr/bin/python
import MySQLdb
import h5py
import re
import progressbar as pb
import numpy
widgets = ['Load table:', ' ', pb.Percentage(), ' ', pb.Counter(), ' ', pb.Bar(marker=pb.RotatingMarker()),
' ', pb.ETA(), ' ', pb.File... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/panoptes",
"path": "/importscripts/HDF5_to_SQL.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Asks the management script to re-sync the database. Having test-only models is a pain.
"""
apps.clear_cache()
call_command('migrate', interactive=False, verbosity=0)
call_command('loaddata', 'initial_data', verbosity=0)
super(DatatableViewTestCa... | code_fim | hard | {
"lang": "python",
"repo": "Mogost/django-datatable-view",
"path": "/datatableview/tests/testcase.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _pre_setup(self):
"""
Asks the management script to re-sync the database. Having test-only models is a pain.
"""
apps.clear_cache()
call_command('migrate', interactive=False, verbosity=0)
call_command('loaddata', 'initial_data', verbosity=0)
... | code_fim | medium | {
"lang": "python",
"repo": "Mogost/django-datatable-view",
"path": "/datatableview/tests/testcase.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mogost/django-datatable-view path: /datatableview/tests/testcase.py
from django.apps import apps
from django.core.management import call_command
from django.test import TestCase, override_settings
<|fim_suffix|> def _pre_setup(self):
"""
Asks the management script to re-sync t... | code_fim | hard | {
"lang": "python",
"repo": "Mogost/django-datatable-view",
"path": "/datatableview/tests/testcase.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> for x in key:
keylist.append(associations.find(x))
if inp=="e":
sumlist=[]
for x in range(0,len(message)):
sumlist.append(keylist[x]+messagelist[x])
for x in sumlist:
sys.stdout.write(associations[x%85])
print("\n")
if inp==... | code_fim | hard | {
"lang": "python",
"repo": "APikielny/Cryptography",
"path": "/cryptography.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: APikielny/Cryptography path: /cryptography.py
"""
cryptography.py
Author: Adam Pikielny
Credit: http://www.tutorialspoint.com/python/string_len.htm
Assignment:
Write and submit a program that encrypts and decrypts user data.
<|fim_suffix|> for x in key:
keylist.append(associations.f... | code_fim | hard | {
"lang": "python",
"repo": "APikielny/Cryptography",
"path": "/cryptography.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return str(self.member_name)+"age: " + str(self.age)+ ",has glasses: " +str(self.has_glasses)<|fim_prefix|># repo: ydang5/week-10-assignment path: /api_mil_recruit/milrecruit/foundation/models.py
from django.db import models
# Create your models here.
class MilitaryDb(mod... | code_fim | medium | {
"lang": "python",
"repo": "ydang5/week-10-assignment",
"path": "/api_mil_recruit/milrecruit/foundation/models.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ydang5/week-10-assignment path: /api_mil_recruit/milrecruit/foundation/models.py
from django.db import models
# Create your models here.
class MilitaryDb(models.Model):
<|fim_suffix|> return str(self.member_name)+"age: " + str(self.age)+ ",has glasses: " +str(self.has_glasses)<|fim_middl... | code_fim | hard | {
"lang": "python",
"repo": "ydang5/week-10-assignment",
"path": "/api_mil_recruit/milrecruit/foundation/models.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dfd/sktutor path: /tests/test_pipeline.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from sktutor.preprocessing import (GroupByImputer, MissingValueFiller,
ColumnExtractor, ColumnDropper)
from sktutor.pipeline import (FeatureUnion, make_union)
... | code_fim | hard | {
"lang": "python",
"repo": "dfd/sktutor",
"path": "/tests/test_pipeline.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Test make_union
CONTINUOUS_FIELDS = missing_data.select_dtypes(
['int64', 'float64']).columns.tolist()
FACTOR_FIELDS = missing_data.select_dtypes(['object']).columns
CONTINUOUS_FIELDS.append('b')
fu = make_union(
make_pipeline(
... | code_fim | hard | {
"lang": "python",
"repo": "dfd/sktutor",
"path": "/tests/test_pipeline.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> CONTINUOUS_FIELDS = missing_data.select_dtypes(
['int64', 'float64']).columns.tolist()
FACTOR_FIELDS = missing_data.select_dtypes(['object']).columns
CONTINUOUS_FIELDS.append('b')
fu = FeatureUnion(
[('Continuous Pipeline', make_pipeline(
... | code_fim | hard | {
"lang": "python",
"repo": "dfd/sktutor",
"path": "/tests/test_pipeline.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(BookForm, self).__init__(*args, **kwargs)
self.fields['title'].widget.attrs.update({'class': 'form-control'})
self.fields['cover'].widget.attrs.update(
{'class': 'form-control-file'})
self.fields['authors'].widget.attrs.update({'class': 'form-control'})
... | code_fim | medium | {
"lang": "python",
"repo": "TeraDew/DjangoNovelSite",
"path": "/novel/forms.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class CategoryForm(forms.ModelForm):
class Meta:
model = Category
fields = ['name']<|fim_prefix|># repo: TeraDew/DjangoNovelSite path: /novel/forms.py
from novel.models import Book, Author, Category
from django import forms
class BookForm(forms.ModelForm):
<|fim_middle|> class Me... | code_fim | hard | {
"lang": "python",
"repo": "TeraDew/DjangoNovelSite",
"path": "/novel/forms.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TeraDew/DjangoNovelSite path: /novel/forms.py
from novel.models import Book, Author, Category
from django import forms
class BookForm(forms.ModelForm):
class Meta:
model = Book
fields = ['title', 'cover', 'authors', 'intro', 'category']
<|fim_suffix|> super(BookForm,... | code_fim | medium | {
"lang": "python",
"repo": "TeraDew/DjangoNovelSite",
"path": "/novel/forms.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> signed_tx = web3.eth.account.signTransaction(tx, fromPrivateKey)
tx_hash = web3.eth.sendRawTransaction(signed_tx.rawTransaction)<|fim_prefix|># repo: picaproject/wallet path: /withdraw/BEP20/bnb_withdraw.py
from web3 import Web3, HTTPProvider
from web3.middleware import geth_poa_middleware
... | code_fim | hard | {
"lang": "python",
"repo": "picaproject/wallet",
"path": "/withdraw/BEP20/bnb_withdraw.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: picaproject/wallet path: /withdraw/BEP20/bnb_withdraw.py
from web3 import Web3, HTTPProvider
from web3.middleware import geth_poa_middleware
<|fim_suffix|> signed_tx = web3.eth.account.signTransaction(tx, fromPrivateKey)
tx_hash = web3.eth.sendRawTransaction(signed_tx.rawTransaction... | code_fim | hard | {
"lang": "python",
"repo": "picaproject/wallet",
"path": "/withdraw/BEP20/bnb_withdraw.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> t_start, t_stop):
# not supported
return None
###
# event and epoch zone
def _event_count(self, block_index, seg_index, event_channel_index):
# Retrieve size of either event or epoch channel:
# event_channel_index: 0 AxoGrap... | code_fim | hard | {
"lang": "python",
"repo": "NeuralEnsemble/python-neo",
"path": "/neo/rawio/axographrawio.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for key, fmt in GroupHeaderDescription:
group_header_info[key] = f.read_f(fmt)
# AxoGraph groups are 0-indexed in GUI, so use i below
group_header_info_list[i] = group_header_info
self.logger.debug(gro... | code_fim | hard | {
"lang": "python",
"repo": "NeuralEnsemble/python-neo",
"path": "/neo/rawio/axographrawio.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NeuralEnsemble/python-neo path: /neo/rawio/axographrawio.py
- AxoGraph X User Manual, provided with AxoGraph and also available online:
https://axograph.com/documentation/AxoGraph%20User%20Manual.pdf
- AxoGraph_ReadWrite.h, a header file that is part of a C++ program
provided ... | code_fim | hard | {
"lang": "python",
"repo": "NeuralEnsemble/python-neo",
"path": "/neo/rawio/axographrawio.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return json.dumps(loaded, indent=2)<|fim_prefix|># repo: port-zero/lens path: /lens/parsers/json.py
import json
from pygments.lexers.data import JsonLexer
from lens.parsers.base import LensParser
class Parser(LensParser):
lexer = JsonLexer
def treat(self, inpt, keys):
loaded ... | code_fim | easy | {
"lang": "python",
"repo": "port-zero/lens",
"path": "/lens/parsers/json.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: port-zero/lens path: /lens/parsers/json.py
import json
from pygments.lexers.data import JsonLexer
from lens.parsers.base import LensParser
class Parser(LensParser):
<|fim_suffix|> return json.dumps(loaded, indent=2)<|fim_middle|> lexer = JsonLexer
def treat(self, inpt, keys):
... | code_fim | medium | {
"lang": "python",
"repo": "port-zero/lens",
"path": "/lens/parsers/json.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> loaded = json.loads(inpt)
for key in keys:
loaded = loaded[key]
return json.dumps(loaded, indent=2)<|fim_prefix|># repo: port-zero/lens path: /lens/parsers/json.py
import json
from pygments.lexers.data import JsonLexer
<|fim_middle|>from lens.parsers.base import L... | code_fim | medium | {
"lang": "python",
"repo": "port-zero/lens",
"path": "/lens/parsers/json.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Open file and extract lines
with open(file, "r") as f:
lines = f.readlines()
# Loop through equation lines
for el in eq_lines:
# Modify lines
lines[el] = "$${#eq:" + f"{prefix}_eq" + str(eq_num).zfill(2) + "}\n"
eq_num += 1
# Write file
with open... | code_fim | hard | {
"lang": "python",
"repo": "mrazomej/phd",
"path": "/src/add_eq_labels.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mrazomej/phd path: /src/add_eq_labels.py
# %%
import numpy as np
import os
import glob
import re
# %%
# Define chapter
chapter = "chapter_05"
prefix = "ch5"
# List files
files = np.sort(glob.glob(f"{chapter}/*md"))
# %%
# Define regex pattern to find
pattern = re.compile("\$\$")
# Initialize... | code_fim | medium | {
"lang": "python",
"repo": "mrazomej/phd",
"path": "/src/add_eq_labels.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MD2Korg/memphis-dataprocessingframework path: /code/functions/ExtractDatabase/ExtractDatabase.py
###############################################################################
# Copyright 2014 University of Memphis
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may... | code_fim | hard | {
"lang": "python",
"repo": "MD2Korg/memphis-dataprocessingframework",
"path": "/code/functions/ExtractDatabase/ExtractDatabase.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> x = r.fetchall()
print >> fout, string.join(fieldnames,',')
for line in x:
stroutput = []
for ind,part in enumerate(line):
if ind == idfieldind:
continue
if isinstance(part,unicode):
stroutput.append(str(part))
elif isinstance(part,str):
stroutp... | code_fim | hard | {
"lang": "python",
"repo": "MD2Korg/memphis-dataprocessingframework",
"path": "/code/functions/ExtractDatabase/ExtractDatabase.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> df = df.fillna(0.0)
y_test = df.sim.values.tolist()
y_predict = df.predict.values.tolist()
y_score = df.usim.values.tolist()
return y_test, y_predict, y_score
def main():
parser = argparse.ArgumentParser(description='RUSSE Evaluation Script. See http://russe.nlpub.ru for mor... | code_fim | hard | {
"lang": "python",
"repo": "nlpub/russe-evaluation",
"path": "/russe/evaluation/evaluate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nlpub/russe-evaluation path: /russe/evaluation/evaluate.py
#!/usr/bin/env python
import argparse
from pandas import read_csv
from scipy.stats import pearsonr, spearmanr
from os.path import splitext
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from sk... | code_fim | hard | {
"lang": "python",
"repo": "nlpub/russe-evaluation",
"path": "/russe/evaluation/evaluate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser(description='RUSSE Evaluation Script. See http://russe.nlpub.ru for more details.')
subparsers = parser.add_subparsers(description='Help for subcommand.')
parser_hj = subparsers.add_parser('hj', description='Evaluation based on correlations with human judgemen... | code_fim | hard | {
"lang": "python",
"repo": "nlpub/russe-evaluation",
"path": "/russe/evaluation/evaluate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ''' Gaussian CDF. '''
return 0.5 * (1 + torch.erf(x / math.sqrt(2))) # TODO: How?
def _apply(self, fn):
super(FeatureSelector, self)._apply(fn)
self.noise = fn(self.noise)
return self
def get_gates(self, mode):
if mode == 'raw':
return... | code_fim | medium | {
"lang": "python",
"repo": "bmistry4/nalu-stable-exp-neurips-review",
"path": "/stable_nalu/layer/unused/feature_selector.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bmistry4/nalu-stable-exp-neurips-review path: /stable_nalu/layer/unused/feature_selector.py
import torch.nn as nn
import torch
import math
import numpy as np
"""
Ack:
Paper: https://arxiv.org/pdf/1810.04247.pdf (Feature Selection using Stochastic Gates)
Code: https://github.com/runopti/stg/blob/... | code_fim | hard | {
"lang": "python",
"repo": "bmistry4/nalu-stable-exp-neurips-review",
"path": "/stable_nalu/layer/unused/feature_selector.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, prev_x):
z = self.mu + self.sigma * self.noise.normal_() * self.training
stochastic_gate = self.hard_sigmoid(z)
new_x = prev_x * stochastic_gate
return new_x
def hard_sigmoid(self, x):
return torch.clamp(x + 0.5, 0.0, 1.0)
def regular... | code_fim | hard | {
"lang": "python",
"repo": "bmistry4/nalu-stable-exp-neurips-review",
"path": "/stable_nalu/layer/unused/feature_selector.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return Convert.to_list('onedrive', data_ac_sh)
# fld = folder
# act = action
def set_act(self, p_act):
if p_act == 'upload':
self.up_files() # [OK]
if p_act == 'download':
self.dw_files() # [OK]
if p_act == 'delete':
... | code_fim | hard | {
"lang": "python",
"repo": "john-mestas-t/impi-core",
"path": "/BL_Server_Sharing.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ls_it = DB_Item.select('all')
ls_it = ls_it.where(
(Items.id_account == self.id_ac) &
(Items.type_item == 'FOLDER') &
(Items.name_item == nm_fld) &
(Items.ph_item_ser == ph_fld) &
(Items.id_oned == id_fld)
)
if ls... | code_fim | hard | {
"lang": "python",
"repo": "john-mestas-t/impi-core",
"path": "/BL_Server_Sharing.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: john-mestas-t/impi-core path: /BL_Server_Sharing.py
from BL_Item import *
from BL_Server_Sharing_Utils import *
from DB_Controlers import *
class ServerSharing(object):
def __init__(self):
pass
def start_engine(self):
# self.init_actio_server('download')
self.in... | code_fim | hard | {
"lang": "python",
"repo": "john-mestas-t/impi-core",
"path": "/BL_Server_Sharing.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_stay(self):
assert self.rook.move_check((3, 4)) == 'I'
@pytest.mark.parametrize('pos', wrong_poses)
def test_wrong_moves(self, pos):
assert self.rook.move_check(pos) == 'I'
class TestBishop(TestCase):
bishop = Figure(True, 'bishop', 'N', (6, 4))
combo = {*[(... | code_fim | hard | {
"lang": "python",
"repo": "Pythongor/Chess-DRF",
"path": "/ChessDRF/logic/tests/test_figures.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Pythongor/Chess-DRF path: /ChessDRF/logic/tests/test_figures.py
from itertools import product
import pytest
from ..figure import Figure
class TestCase:
pass
class TestKing(TestCase):
king = Figure(False, 'king', 'N', (1, 4))
start_king = Figure(True, 'king', 'S', (0, 4))
combo... | code_fim | hard | {
"lang": "python",
"repo": "Pythongor/Chess-DRF",
"path": "/ChessDRF/logic/tests/test_figures.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class TestKnight(TestCase):
knight = Figure(True, 'knight', 'N', (4, 4))
combo = *product((1, -1), (2, -2)), *product((2, -2), (1, -1))
combo = {(i[0] + 4, i[1] + 4) for i in combo}
@pytest.mark.parametrize('pos', combo)
def test_move(self, pos):
assert self.knight.move_check... | code_fim | hard | {
"lang": "python",
"repo": "Pythongor/Chess-DRF",
"path": "/ChessDRF/logic/tests/test_figures.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if num_major / num_all < 0.9:
inconsis += 1
continue
if num_all == 1:
if base in alt:
osa += 1
elif base in ref:
osr += 1
else:
if base in alt:
msa += 1
elif bas... | code_fim | hard | {
"lang": "python",
"repo": "HaoKuo/MrBam",
"path": "/MrBam/count.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HaoKuo/MrBam path: /MrBam/count.py
from collections import Counter
def count_different_type(o, pairs, single, alt, ref):
mor, mnr, msr, oor, onr, osr, moa, mna, msa, ooa, ona, osa, inconsis = 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
<|fim_suffix|> for reads in single.values():
c = C... | code_fim | hard | {
"lang": "python",
"repo": "HaoKuo/MrBam",
"path": "/MrBam/count.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if num_all == 1:
if base in alt:
osa += 1
elif base in ref:
osr += 1
else:
if base in alt:
msa += 1
elif base in ref:
msr += 1
return mor, mnr, msr, oor, onr, osr, moa, mna,... | code_fim | hard | {
"lang": "python",
"repo": "HaoKuo/MrBam",
"path": "/MrBam/count.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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