text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> """
Notify all clients once the socket.io is connected
"""
payload = dict(data='Connected')
emit('log', payload, broadcast=True)
if __name__ == '__main__':
socket_io.run(app)<|fim_prefix|># repo: riderSide/Flask-SocketIo-Examples path: /basic_framework/flask_app/example_app.py
f... | code_fim | hard | {
"lang": "python",
"repo": "riderSide/Flask-SocketIo-Examples",
"path": "/basic_framework/flask_app/example_app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: riderSide/Flask-SocketIo-Examples path: /basic_framework/flask_app/example_app.py
from flask import Flask, render_template, request, jsonify
from flask_socketio import SocketIO, emit
from flask_cors import CORS
app = Flask(__name__)
app.config['SECRET_KEY'] = 'justasecretkeythatishouldputhere'
... | code_fim | hard | {
"lang": "python",
"repo": "riderSide/Flask-SocketIo-Examples",
"path": "/basic_framework/flask_app/example_app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_mounted_no_files(
self, mock_execute, mock_mount, mock_copy,
mock_find_device, mock_check_vmedia, mock_booted_from_vmedia):
mock_booted_from_vmedia.return_value = True
mock_execute.return_value = '/some/path', ''
mock_find_device.return_value =... | code_fim | hard | {
"lang": "python",
"repo": "openstack/ironic-python-agent",
"path": "/ironic_python_agent/tests/unit/test_utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openstack/ironic-python-agent path: /ironic_python_agent/tests/unit/test_utils.py
k_boot_mode.assert_has_calls([])
@mock.patch.object(utils, 'get_node_boot_mode', return_value='bios',
autospec=True)
def test_specified_partition_table_type_with_instance_disk_label(
... | code_fim | hard | {
"lang": "python",
"repo": "openstack/ironic-python-agent",
"path": "/ironic_python_agent/tests/unit/test_utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openstack/ironic-python-agent path: /ironic_python_agent/tests/unit/test_utils.py
t_device_extractor(self):
self.assertEqual(
'md0',
utils.extract_device('md0p1')
)
self.assertEqual(
'/dev/md0',
utils.extract_device('/dev/md0... | code_fim | hard | {
"lang": "python",
"repo": "openstack/ironic-python-agent",
"path": "/ironic_python_agent/tests/unit/test_utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if counters == 20:
div = 1
print(i)<|fim_prefix|># repo: adamkells/project_euler path: /problem_5.py
i = 38
div = 0
while div == 0:
i += <|fim_middle|>19
counters = 0
for j in range(1, 21):
if i % j == 0:
counters += 1
| code_fim | medium | {
"lang": "python",
"repo": "adamkells/project_euler",
"path": "/problem_5.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adamkells/project_euler path: /problem_5.py
i = 38
div = 0
while div == 0:
i += 19
counters = 0
for j in range(1, 21<|fim_suffix|> if counters == 20:
div = 1
print(i)<|fim_middle|>):
if i % j == 0:
counters += 1
| code_fim | easy | {
"lang": "python",
"repo": "adamkells/project_euler",
"path": "/problem_5.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> copy = originalImage.copy()
_, contours, _ = cv2.findContours(morphMask, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
cntsSorted = sorted(contours, key=lambda x: cv2.contourArea(x))
cnt = sorted(contours, key=cv2.contourArea, reverse=True)
cv2.drawContours(copy,cnt[1],-1,(255,0,0),6)
if... | code_fim | hard | {
"lang": "python",
"repo": "Ciaran-OBrien/Image-Processing",
"path": "/Final Class Test/Final Exam - Boundary Detection .py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ciaran-OBrien/Image-Processing path: /Final Class Test/Final Exam - Boundary Detection .py
# coding: utf-8
# In[2]:
# Author: Ciarán O'Brien
# Lecture: Jane Courtney
# Submitted: 13/12/18
# This code is in response to CA Class Test: Boundary Detection
# N.B. This code orignated as a Jupyter ... | code_fim | hard | {
"lang": "python",
"repo": "Ciaran-OBrien/Image-Processing",
"path": "/Final Class Test/Final Exam - Boundary Detection .py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mitsuhiko/raven path: /raven/handlers/logbook.py
"""
raven.handlers.logbook
~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
<|fim_suffix|>import logbook
import sys
class SentryHandler(logbook.Handler... | code_fim | medium | {
"lang": "python",
"repo": "mitsuhiko/raven",
"path": "/raven/handlers/logbook.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.client = client
super(SentryHandler, self).__init__()
def emit(self, record):
self.format(record)
# Avoid typical config issues by overriding loggers behavior
if record.name.startswith('sentry.errors'):
print >> sys.stderr, "Recursive log mess... | code_fim | medium | {
"lang": "python",
"repo": "mitsuhiko/raven",
"path": "/raven/handlers/logbook.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ml6team/connexion path: /tests/api/test_unordered_definition.py
import json
def test_app(unordered_definition_app):
app_client = unordered_definition_app.app.test_cl<|fim_suffix|>ce'))
assert response_data['detail'] == 'Wrong type, expected \'integer\' for query parameter \'first\''<|fi... | code_fim | hard | {
"lang": "python",
"repo": "ml6team/connexion",
"path": "/tests/api/test_unordered_definition.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>e
assert response.status_code == 400
response_data = json.loads(response.data.decode('utf-8', 'replace'))
assert response_data['detail'] == 'Wrong type, expected \'integer\' for query parameter \'first\''<|fim_prefix|># repo: ml6team/connexion path: /tests/api/test_unordered_definition.py
imp... | code_fim | medium | {
"lang": "python",
"repo": "ml6team/connexion",
"path": "/tests/api/test_unordered_definition.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ce'))
assert response_data['detail'] == 'Wrong type, expected \'integer\' for query parameter \'first\''<|fim_prefix|># repo: ml6team/connexion path: /tests/api/test_unordered_definition.py
import json
def test_app(unordered_definition_app):
app_client = unordered_definition_app.app.test_client... | code_fim | medium | {
"lang": "python",
"repo": "ml6team/connexion",
"path": "/tests/api/test_unordered_definition.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>### reconstitution de l'image � partir des fragments
def reconstituerImage(nomFichierImage, xMax, yMax, largeurFragment, hauteurFragment):
#commandeAssembler = (os.path.join(cheminDossierImageMagick, "montage.exe")
# + " " + os.path.join(cheminDossierFragments, "fragment_[... | code_fim | hard | {
"lang": "python",
"repo": "akoel/GAPDownloader",
"path": "/extractionGoogleArtProject_Unix.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akoel/GAPDownloader path: /extractionGoogleArtProject_Unix.py
# -*- coding: utf-8 -*-
import re, urllib2, time, os, json, unicodedata, base64, subprocess
from xml.dom import minidom
from core import *
### configuration
cheminDossierFragments = "fragments"
cheminDossierImages = "imag... | code_fim | hard | {
"lang": "python",
"repo": "akoel/GAPDownloader",
"path": "/extractionGoogleArtProject_Unix.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(len(svm_clf)):
# calc auc
prob = svm_clf[i].predict_proba(X_test_scaled[i])[:,1]
fpr, tpr, thresholds = roc_curve(y_test, prob, pos_label=1)
roc_auc_area = auc(fpr, tpr)
pred_tmp.append(predict_data.calc_metrics(y_test, svm_clf[i].predict(X_test_s... | code_fim | hard | {
"lang": "python",
"repo": "baibai25/MNDO-NC",
"path": "/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
for i in tqdm(range(100), desc="Preprocessing", leave=False):
# Apply over-sampling
sm_reg = over_sampling.SMOTE(kind='regular', random_state=RANDOM_STATE, k_neighbors=5)
sm_b1 = over_sampling.SMOTE(kind='borderline1', random_state=RANDOM_STATE, k_neighbors=5)
sm_b2 = ... | code_fim | hard | {
"lang": "python",
"repo": "baibai25/MNDO-NC",
"path": "/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: baibai25/MNDO-NC path: /train.py
import sys
import os
from tqdm import tqdm
import numpy as np
import pandas as pd
import argparse
from src import predict_data, preprocessing
from collections import Counter
from sklearn.model_selection import train_test_split
from imblearn import over_sampling
fr... | code_fim | hard | {
"lang": "python",
"repo": "baibai25/MNDO-NC",
"path": "/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jgust/SublimeCscope path: /sublime_cscope/commands/query.py
import linecache as lc
import functools
import math
import os
import sublime
import sublime_plugin
from ...SublimeCscope import DEBUG, PACKAGE_NAME
from ..cscope_runner import CscopeQueryCommand
from ..cscope_results import CscopeResul... | code_fim | hard | {
"lang": "python",
"repo": "jgust/SublimeCscope",
"path": "/sublime_cscope/commands/query.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @ScQueryCommand.action.getter
def action(self):
return 'find_callees'
class ScFindCallersCommand(ScQueryCommand):
@ScQueryCommand.action.getter
def action(self):
return 'find_callers'
class ScFindStringCommand(ScQueryCommand):
@ScQueryCommand.action.getter
def... | code_fim | hard | {
"lang": "python",
"repo": "jgust/SublimeCscope",
"path": "/sublime_cscope/commands/query.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> start_line, num_ctx_lines = RTB_CONTEXT_LINES):
if num_ctx_lines > 0:
for line_num in range(start_line, start_line + num_ctx_lines):
line = lc.getline(file_name, line_num)
if line:
pos += self.view.insert(e... | code_fim | hard | {
"lang": "python",
"repo": "jgust/SublimeCscope",
"path": "/sublime_cscope/commands/query.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># registration
Jpg.register(
'jpg',
Jpg
)<|fim_prefix|># repo: ramgopal99/centipede path: /src/lib/centipede/Crawler/Fs/Image/Jpg.py
from .Oiio import Oiio
class Jpg(Oiio):
<|fim_middle|> """
Jpg crawler.
"""
@classmethod
def test(cls, pathHolder, parentCrawler):
"""
... | code_fim | hard | {
"lang": "python",
"repo": "ramgopal99/centipede",
"path": "/src/lib/centipede/Crawler/Fs/Image/Jpg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ramgopal99/centipede path: /src/lib/centipede/Crawler/Fs/Image/Jpg.py
from .Oiio import Oiio
class Jpg(Oiio):
<|fim_suffix|> """
Test if the path holder contains an jpg file.
"""
if not super(Jpg, cls).test(pathHolder, parentCrawler):
return False
... | code_fim | medium | {
"lang": "python",
"repo": "ramgopal99/centipede",
"path": "/src/lib/centipede/Crawler/Fs/Image/Jpg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: michaelscales88/python-reporting-app path: /app/report/views/sla_summary_report_view.py
from flask import Markup
from pandas import DataFrame
from app.base_view import BaseView
from flask_security import current_user
class SLASummaryReportView(BaseView):
column_searchable_list = ("start_tim... | code_fim | medium | {
"lang": "python",
"repo": "michaelscales88/python-reporting-app",
"path": "/app/report/views/sla_summary_report_view.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def is_accessible(self):
if super().is_accessible():
return True
if current_user.has_role('_permissions | manager'):
self.can_create = False
self.can_edit = True
self.can_delete = False
return True
return False<|fim_... | code_fim | hard | {
"lang": "python",
"repo": "michaelscales88/python-reporting-app",
"path": "/app/report/views/sla_summary_report_view.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Create
firebase_credentials = credentials.Certificate('../../keys/ahs-cms-firebase-adminsdk-eob2s-4d3bff0472.json')
firebase_app = firebase_admin.initialize_app(firebase_credentials)<|fim_prefix|># repo: gdmgent-1718-wot/NFC-TimeClock path: /nfc-examples/nfc_person-vertification_firebase.py
# NFC Perso... | code_fim | medium | {
"lang": "python",
"repo": "gdmgent-1718-wot/NFC-TimeClock",
"path": "/nfc-examples/nfc_person-vertification_firebase.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gdmgent-1718-wot/NFC-TimeClock path: /nfc-examples/nfc_person-vertification_firebase.py
# NFC Persons Verification via Firebase
# Developed by Philippe De Pauw - Waterschoot
<|fim_suffix|># Create
firebase_credentials = credentials.Certificate('../../keys/ahs-cms-firebase-adminsdk-eob2s-4d3bff04... | code_fim | medium | {
"lang": "python",
"repo": "gdmgent-1718-wot/NFC-TimeClock",
"path": "/nfc-examples/nfc_person-vertification_firebase.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>import logging
import time
from datetime import timezone
import sys, pygame
# Firebase Namespaces
import firebase_admin
from firebase_admin import credentials
# Create
firebase_credentials = credentials.Certificate('../../keys/ahs-cms-firebase-adminsdk-eob2s-4d3bff0472.json')
firebase_app = firebase_adm... | code_fim | easy | {
"lang": "python",
"repo": "gdmgent-1718-wot/NFC-TimeClock",
"path": "/nfc-examples/nfc_person-vertification_firebase.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ghost9023/DeepLearningPythonStudy path: /DeepLearning/DeepLearning/09_Deep_SongJW/ch4/gradient_method.py
'''
4.4.1 경사법(경사 하강법) gradient method
손실함수의 값이 최솟값이 되는 가중치와 편향을 찾는것이 목표. 기울기를 이용해 손실함수의 최솟값을 찾는 방법이 경사법.
다만 기울기가 가리키는 방향이 항상 손실함수의 최솟값이 존재하는 방향은 아니다.
최솟값에 도달할수도, 극솟값(특정 범위내에서의 최솟값)에 도달할수도, 안... | code_fim | hard | {
"lang": "python",
"repo": "ghost9023/DeepLearningPythonStudy",
"path": "/DeepLearning/DeepLearning/09_Deep_SongJW/ch4/gradient_method.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>에타 eta 를 학습률 learning rate 이라고 한다. 한번의 학습으로 가중치, 편향의 값을 얼마만큼 갱신할지를 결정하게된다.
'''
import numpy as np
from ch4.numerical_differentiation import numerical_gradient
def gradient_descent(f, init_x, lr = 0.01, step_num = 100):
x = init_x.copy()
for i in range(step_num):
grad = numerical_gradien... | code_fim | medium | {
"lang": "python",
"repo": "ghost9023/DeepLearningPythonStudy",
"path": "/DeepLearning/DeepLearning/09_Deep_SongJW/ch4/gradient_method.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def save_html(html):
with open('login.html', 'w', encoding='utf8')as f:
f.write(html)
def post_github(url):
data = {'commit': 'Sign in',
'authenticity_token':
'sj5fa1Cqr9JuurCfiJxCmmJLyD9rpv7iTK1bpVCVJ6GdcOltKQ8P999XOdy1jpN1mILSMKCRN4NKUzmm'
'+FGqOw==',
'login'... | code_fim | medium | {
"lang": "python",
"repo": "Lemon-cc-hang/spiderProjects",
"path": "/project/github模拟登陆/github.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lemon-cc-hang/spiderProjects path: /project/github模拟登陆/github.py
import requests
import time
from bs4 import BeautifulSoup
headers = {
'Cookie': '_octo=GH1.1.721453151.1586831679; _ga=GA1.2.561782820.1586831682; '
'experiment:homepage_signup_flow'
'=eyJ2ZXJzaW9uIjoiMSIsInJ... | code_fim | hard | {
"lang": "python",
"repo": "Lemon-cc-hang/spiderProjects",
"path": "/project/github模拟登陆/github.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for event in pygame.event.get():
if event.type == QUIT:
pygame.quit()
sys.exit()
keys = pygame.key.get_pressed()
if keys[K_ESCAPE]:
pygame.quit()
sys.exit()
pygame.display.update()<|fim_prefix|># repo: Michael8968/skulpt path: /example/te... | code_fim | hard | {
"lang": "python",
"repo": "Michael8968/skulpt",
"path": "/example/test/L22_ex1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Michael8968/skulpt path: /example/test/L22_ex1.py
import pygame,random,sys
from pygame.locals import *
##### 任务1 人原地跑 + 地面
pygame.init()
screen = pygame.display.set_mode((800, 600))
pygame.display.set_caption("No One Die")
times = pygame.time.Clock()
<|fim_suffix|> for event in pygame.eve... | code_fim | hard | {
"lang": "python",
"repo": "Michael8968/skulpt",
"path": "/example/test/L22_ex1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tectronics/myami-3.2-freeHand path: /bin/start-leginon.py
#!/bin/python
#
# Normal users should start Leginon with this script.
#
<|fim_suffix|>## this starts Leginon user interface
from leginon import start
start.start(legoptparse.options)<|fim_middle|>from leginon import legoptparse
| code_fim | easy | {
"lang": "python",
"repo": "tectronics/myami-3.2-freeHand",
"path": "/bin/start-leginon.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>## this starts Leginon user interface
from leginon import start
start.start(legoptparse.options)<|fim_prefix|># repo: tectronics/myami-3.2-freeHand path: /bin/start-leginon.py
#!/bin/python
#
# Normal users should start Leginon with this script.
#
<|fim_middle|>from leginon import legoptparse
| code_fim | easy | {
"lang": "python",
"repo": "tectronics/myami-3.2-freeHand",
"path": "/bin/start-leginon.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for user in users:
results[user] = GroupSubscriptionReason.implicit
for user, reason in participants.items():
results[user] = reason
return results
class GroupSubscription(Model):
"""
Identifies a subscription relationship between a user and an i... | code_fim | hard | {
"lang": "python",
"repo": "atlassian/sentry",
"path": "/src/sentry/models/groupsubscription.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: atlassian/sentry path: /src/sentry/models/groupsubscription.py
from __future__ import absolute_import
from django.conf import settings
from django.db import IntegrityError, models, transaction
from django.db.models import Q
from django.utils import timezone
from sentry.db.models import (
Ba... | code_fim | hard | {
"lang": "python",
"repo": "atlassian/sentry",
"path": "/src/sentry/models/groupsubscription.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> results = {}
for user in users:
results[user] = GroupSubscriptionReason.implicit
for user, reason in participants.items():
results[user] = reason
return results
class GroupSubscription(Model):
"""
Identifies a subscription relationship b... | code_fim | hard | {
"lang": "python",
"repo": "atlassian/sentry",
"path": "/src/sentry/models/groupsubscription.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python3pkg/PyWldap path: /wldap/future.py
# Copyright 2013 Arnaud Porterie
#
# 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/LICENSE-... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/PyWldap",
"path": "/wldap/future.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Future(object):
"""The Future holds an asynchronous operation result.
Its design is loosely inspired by PEP-3148: it should comply as described
for the cancel(), cancelled(), exception(), done() and result() operations.
"""
def __init__(self, ldap, msgid):
self._cancell... | code_fim | medium | {
"lang": "python",
"repo": "Python3pkg/PyWldap",
"path": "/wldap/future.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EggplantElf/IMSurReal path: /IMSurReal/dynet_modules.py
import dynet as dy
import numpy as np
def orthonormal_initializer(output_size, input_size):
"""
adopted from Timothy Dozat https://github.com/tdozat/Parser/blob/master/lib/linalg.py
"""
# print (output_size, input_size)
... | code_fim | hard | {
"lang": "python",
"repo": "EggplantElf/IMSurReal",
"path": "/IMSurReal/dynet_modules.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, model, token_dim, query_dim=None):
self.model = model
query_dim = query_dim or token_dim
self.att_q = self.model.add_parameters((token_dim, query_dim),
init=orthonormal_initializer(token_dim, query_dim))
self.att_q2 = self.model.add_p... | code_fim | hard | {
"lang": "python",
"repo": "EggplantElf/IMSurReal",
"path": "/IMSurReal/dynet_modules.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> write_log(log_file_name='find_verified_user.log', log_file_path=os.getcwd(),
information='###################program start#####################.')
path_data = 'D:/LiuQL/eHealth/twitter/data/data_origin/'
path_save_to = 'D:/LiuQL/eHealth/twitter/data/data_origin/'
# path_data ... | code_fim | medium | {
"lang": "python",
"repo": "LiuQL2/twitter",
"path": "/process/network/find_verified_user.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LiuQL2/twitter path: /process/network/find_verified_user.py
#!/usr/bin/python env
# -*- coding: utf-8 -*-
import json
import csv
import os
import numpy as np
import time
import pandas as pd
from collections import OrderedDict
from utility.functions import get_dirlist
from utility.functions impor... | code_fim | medium | {
"lang": "python",
"repo": "LiuQL2/twitter",
"path": "/process/network/find_verified_user.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: swami701/image-category-classifier path: /utils.py
import mixins
import importlib
import inspect
import os
import pkgutil
<|fim_suffix|> path = os.path.join(os.path.dirname(__file__), 'scripts')
module_path = 'scripts'
for _, name, _ in pkgutil.walk_packages(path=[path]):
modu... | code_fim | medium | {
"lang": "python",
"repo": "swami701/image-category-classifier",
"path": "/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> path = os.path.join(os.path.dirname(__file__), 'scripts')
module_path = 'scripts'
for _, name, _ in pkgutil.walk_packages(path=[path]):
module = importlib.import_module(
'%s.%s' % (module_path, name))
for _, obj in inspect.getmembers(module):
if (inspect... | code_fim | medium | {
"lang": "python",
"repo": "swami701/image-category-classifier",
"path": "/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lchen-wyze/retinanet-tensorflow2.x path: /retinanet/evaluate_saved_model.py
import os
from time import time
import numpy as np
import tensorflow as tf
from absl import app, flags, logging
from retinanet.dataset_utils.coco_parser import CocoParser
from retinanet.eval import COCOEvaluator
from re... | code_fim | hard | {
"lang": "python",
"repo": "lchen-wyze/retinanet-tensorflow2.x",
"path": "/retinanet/evaluate_saved_model.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if gpus:
logging.info('Found {} GPU(s)'.format(len(gpus)))
[tf.config.experimental.set_memory_growth(device, True) for device in gpus]
try:
# Attempt to load tensorrt, only used if the saved_model contains
# TensorRT engines.
import tensorrt ... | code_fim | hard | {
"lang": "python",
"repo": "lchen-wyze/retinanet-tensorflow2.x",
"path": "/retinanet/evaluate_saved_model.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 1sapientia/python-tools path: /coinmetrics/bitsql/applications/export.py
import argparse
import logging
from coinmetrics.bitsql import runExport, dbObjectsFactory, postgresFactory
from coinmetrics.bitsql.constants import SUPPORTED_ASSETS
from coinmetrics.utils.arguments import postgres_connection... | code_fim | hard | {
"lang": "python",
"repo": "1sapientia/python-tools",
"path": "/coinmetrics/bitsql/applications/export.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
logging.basicConfig(format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
appLog = logging.getLogger("bitsql:{0}".format(args.asset))
appLog.setLevel(logging.DEBUG)
runExport(args.asset, args.nodes, args.database, appLog, loop=args.loop, rpcThreads=args.rpcthreads)<|fim_prefix|># repo: 1sapienti... | code_fim | hard | {
"lang": "python",
"repo": "1sapientia/python-tools",
"path": "/coinmetrics/bitsql/applications/export.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rustychris/stompy path: /stompy/nanpsd.py
import numpy as np
try:
from numpy import nanmean
except ImportError:
# obsolete location
from scipy.stats import nanmean
# initial implementation 90ms for 1132 sample window,
# compared to 0.258ms for holey_psd
# changing to nanmean -> 6ms.
... | code_fim | hard | {
"lang": "python",
"repo": "rustychris/stompy",
"path": "/stompy/nanpsd.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return r
def correlogrampsd(X, lag, NFFT=None):
"""
PSD estimate using correlogram method.
taken from spectrum, simplified for real-valued autocorrelation
"""
N = len(X)
assert lag<N, 'lag must be < size of input data'
if NFFT == None:
NFFT = N
psd = np.zeros(... | code_fim | hard | {
"lang": "python",
"repo": "rustychris/stompy",
"path": "/stompy/nanpsd.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def ufo2glyphs(options):
"""Convert one designspace file or one or more UFOs to a Glyphs.app source file."""
import fontTools.designspaceLib
from glyphsLib.util import open_ufo
ufo_module = __import__(options.ufo_module)
sources = options.designspace_file_or_UFOs
designspace_file... | code_fim | hard | {
"lang": "python",
"repo": "googlefonts/glyphsLib",
"path": "/Lib/glyphsLib/cli.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _glyphs2ufo_entry_point():
"""Provides entry point for a script to keep argparsing in main()."""
args = sys.argv[1:]
args.insert(0, "glyphs2ufo")
return main(args)
def ufo2glyphs(options):
"""Convert one designspace file or one or more UFOs to a Glyphs.app source file."""
im... | code_fim | hard | {
"lang": "python",
"repo": "googlefonts/glyphsLib",
"path": "/Lib/glyphsLib/cli.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: googlefonts/glyphsLib path: /Lib/glyphsLib/cli.py
# Copyright 2015 Google Inc. All Rights Reserved.
#
# 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.a... | code_fim | hard | {
"lang": "python",
"repo": "googlefonts/glyphsLib",
"path": "/Lib/glyphsLib/cli.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> buffer_a = '1c0111001f010100061a024b53535009181c'
buffer_b = '686974207468652062756c6c277320657965'
expected = '746865206b696420646f6e277420706c6179'
assert fixed_xor(buffer_a, buffer_b) == expected<|fim_prefix|># repo: kevinlondon/cryptopals-solutions path: /sets/1/2_fixed_xor.py
import ... | code_fim | easy | {
"lang": "python",
"repo": "kevinlondon/cryptopals-solutions",
"path": "/sets/1/2_fixed_xor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kevinlondon/cryptopals-solutions path: /sets/1/2_fixed_xor.py
import binascii
from itertools import izip
def fixed_xor(buffer_a, buffer_b):
<|fim_suffix|> buffer_a = '1c0111001f010100061a024b53535009181c'
buffer_b = '686974207468652062756c6c277320657965'
expected = '746865206b6964206... | code_fim | medium | {
"lang": "python",
"repo": "kevinlondon/cryptopals-solutions",
"path": "/sets/1/2_fixed_xor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('accounts', '0004_auto_20160310_2019'),
]
operations = [
migrations.AddField(
model_name='userprofile',
name='jobtitle',
field=models.CharField(max_length=140, null=True, verbose_name=b'Job Title', blank=True),
),
... | code_fim | easy | {
"lang": "python",
"repo": "oiclid/Newspade",
"path": "/analyst/accounts/migrations/0005_userprofile_jobtitle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('accounts', '0004_auto_20160310_2019'),
]
operations = [
migrations.AddField(
model_name='userprofile',
name='jobtitle',
field=models.CharField(max_length=140, null=True, verbose_name=b'Job Title', blank=True),
),
... | code_fim | medium | {
"lang": "python",
"repo": "oiclid/Newspade",
"path": "/analyst/accounts/migrations/0005_userprofile_jobtitle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oiclid/Newspade path: /analyst/accounts/migrations/0005_userprofile_jobtitle.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
<|fim_suffix|> operations = [
migrations.AddField(
model_name='userprofile',
name='jobtitle',
field=model... | code_fim | medium | {
"lang": "python",
"repo": "oiclid/Newspade",
"path": "/analyst/accounts/migrations/0005_userprofile_jobtitle.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mongodb_client = MongoClient(MONGODB_HOST, MONGODB_PORT)
db = mongodb_client.VmDataBase
collection = db[uuid]
if start is not None and end is not None:
match = {
'$match': {
'time': {
'$gt': start,
'$lt': end
... | code_fim | hard | {
"lang": "python",
"repo": "zouyapeng/instance_monitor_agent",
"path": "/VMAgent/mongo.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zouyapeng/instance_monitor_agent path: /VMAgent/mongo.py
#!/usr/bin/env python
import logging
from pymongo import MongoClient
from config import CONF
LOGGING = logging.getLogger('')
MONGODB_HOST = CONF.mongodb_host
MONGODB_PORT = CONF.mongodb_port
MONGODB_EXPIRE = CONF.mongodb_expire
def mo... | code_fim | hard | {
"lang": "python",
"repo": "zouyapeng/instance_monitor_agent",
"path": "/VMAgent/mongo.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>LOGGING = {
"version": 1,
"disable_existing_loggers": False,
"root": {"level": "WARNING", "handlers": ["sentry"]},
"formatters": {
"heroku": {
"format": (
"%(asctime)s [%(process)d] [%(levelname)s] "
+ "pathname=%(pathname)s lineno=%(line... | code_fim | hard | {
"lang": "python",
"repo": "MisterRios/will-of-the-prophets",
"path": "/will_of_the_prophets/settings/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MisterRios/will-of-the-prophets path: /will_of_the_prophets/settings/__init__.py
"""Settings."""
import os
import re
import dj_database_url
import django_heroku
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__... | code_fim | hard | {
"lang": "python",
"repo": "MisterRios/will-of-the-prophets",
"path": "/will_of_the_prophets/settings/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: westernesque/a-history-of-birds path: /data/entities/player.py
import data.entities.entity as e
import pygame, numpy
class player(e.entity):
RUN_SPEED = 20
TURN_SPEED = 160
GRAVITY = -50
JUMP_POWER = 30
current_speed = 0
current_turn_speed = 0
upward_speed = 0
<|fim_suff... | code_fim | hard | {
"lang": "python",
"repo": "westernesque/a-history-of-birds",
"path": "/data/entities/player.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.check_input()
super(player, self).increase_rotation(0, self.current_turn_speed * display.get_frame_time(), 0)
distance = self.current_speed * display.get_frame_time()
distance_x = float(distance * numpy.cos(numpy.radians(super(player, self).get_rotation_y())))
distance_z = float(dista... | code_fim | medium | {
"lang": "python",
"repo": "westernesque/a-history-of-birds",
"path": "/data/entities/player.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: reputage/didery.py path: /tests/help/test_helping.py
# import pytest
# import falcon
# import asyncio
# import aiohttp
# from asyncio import ensure_future
# import arrow
#
# try:
# import simplejson as json
# except ImportError:
# import json
#
# from ioflo.aio.http import httping
# from ... | code_fim | hard | {
"lang": "python",
"repo": "reputage/didery.py",
"path": "/tests/help/test_helping.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>tories
# response = patronHelper()
#
# while True:
# try:
# next(response)
# except StopIteration as si:
# # print("Final: " + si.value)
# break
#
# # create a history
# history, vk, sk, pvk, psk = gen.historyGen()
# history['changed'... | code_fim | hard | {
"lang": "python",
"repo": "reputage/didery.py",
"path": "/tests/help/test_helping.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ry['changed'] = str(arrow.utcnow())
# history['signer'] = 1
# history['signers'].append(ppvk)
# body = json.dumps(history, ensure_ascii=False, separators=(',', ':')).encode('utf-8')
#
# headers = {
# "Signature": 'signer="{0}"; rotation="{1}"'.format(
# gen.signResource... | code_fim | hard | {
"lang": "python",
"repo": "reputage/didery.py",
"path": "/tests/help/test_helping.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brahimbellahcen/face-swap path: /face_swap/gan.py
from keras.layers import Input, Dense, Flatten, Reshape
from keras.layers.advanced_activations import LeakyReLU
from keras.layers.convolutional import Conv2D
from keras.initializers import RandomNormal
from keras.models import Model
from keras.opt... | code_fim | hard | {
"lang": "python",
"repo": "brahimbellahcen/face-swap",
"path": "/face_swap/gan.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> distorted_A, fake_A, mask_A, path_A, fun_mask_A, fun_abgr = gan_utils.cycle_variables_masked(netGA)
distorted_B, fake_B, mask_B, path_B, fun_mask_B, fun_abgr = gan_utils.cycle_variables_masked(netGB)
real_A = Input(shape=img_shape)
real_B = Input(shape=img_shape)
vggface_feat = gan_ut... | code_fim | hard | {
"lang": "python",
"repo": "brahimbellahcen/face-swap",
"path": "/face_swap/gan.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> encoder = Encoder(img_shape, encoder_dim, num_conv_blocks=encoder_nb_conv_blocks)
decoder_a = Decoder(decoder_input_shape, include_alpha=include_alpha, num_deconv_blocks=decoder_nb_deconv_blocks)
decoder_b = Decoder(decoder_input_shape, include_alpha=include_alpha, num_deconv_blocks=decoder_nb... | code_fim | hard | {
"lang": "python",
"repo": "brahimbellahcen/face-swap",
"path": "/face_swap/gan.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 475763610/Darily path: /notes/demo/apps/jd_shop/migrations/0001_initial.py
# Generated by Django 2.1.4 on 2019-03-29 11:11
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
opera... | code_fim | hard | {
"lang": "python",
"repo": "475763610/Darily",
"path": "/notes/demo/apps/jd_shop/migrations/0001_initial.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ('category_main', models.IntegerField(default=0, help_text='主营类目ID', verbose_name='主营类目ID')),
('category_main_name', models.CharField(default='', help_text='主营类目名称', max_length=64, verbose_name='主营类目名称')),
],
options={
'verbose_name': '店铺基础信息',
... | code_fim | hard | {
"lang": "python",
"repo": "475763610/Darily",
"path": "/notes/demo/apps/jd_shop/migrations/0001_initial.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pighui/dushu path: /dushu/spiders/book.py
# -*- coding: utf-8 -*-
from redis import Redis
from scrapy import Request
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from dushu.settings import HOST, PORT
<|fim_suffix|> item = {}
item['n... | code_fim | hard | {
"lang": "python",
"repo": "pighui/dushu",
"path": "/dushu/spiders/book.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> item = {}
item['name'] = response.css('.book-title').xpath('./h1/text()').get()
price = response.css('.num').xpath('./text()').get()
if '¥' in price:
price = price[1:]
else:
price = price
item['price'] = price
item['author'] =... | code_fim | hard | {
"lang": "python",
"repo": "pighui/dushu",
"path": "/dushu/spiders/book.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shftan/tree_ensemble_distance path: /augmented_gb.py
#!/usr/bin/python3
# This file extends sklearn's BinomialDeviance and GradientBoostingClassifier
# classes to keep track of the scaling gammas in gradient boosting trees.
# Additionally, the default GradientBoostingClassifier uses independent ... | code_fim | hard | {
"lang": "python",
"repo": "shftan/tree_ensemble_distance",
"path": "/augmented_gb.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # induce regression tree on residuals
tree = _gb.DecisionTreeRegressor(
criterion=self.criterion,
splitter='best',
max_depth=self.max_depth,
min_samples_split=self.min_samples_split,
min_samples_leaf=se... | code_fim | hard | {
"lang": "python",
"repo": "shftan/tree_ensemble_distance",
"path": "/augmented_gb.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if isinstance(pubkey, secp256k1.PublicKey):
self._pubkey = pubkey
elif pubkey:
self._pubkey = secp256k1.PublicKey(pubkey, True)
@property
def public_key(self) -> bytes:
return self._pubkey.serialize()
def _verify(self, message: bytes, signature... | code_fim | hard | {
"lang": "python",
"repo": "andrewwhitehead/didauth",
"path": "/didauth/algo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> algorithm = 'secp256k1'
def __init__(self, _key_type, pubkey):
if isinstance(pubkey, secp256k1.PublicKey):
self._pubkey = pubkey
elif pubkey:
self._pubkey = secp256k1.PublicKey(pubkey, True)
@property
def public_key(self) -> bytes:
return s... | code_fim | hard | {
"lang": "python",
"repo": "andrewwhitehead/didauth",
"path": "/didauth/algo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrewwhitehead/didauth path: /didauth/algo.py
import nacl.signing
import rsa
import secp256k1
from .base import SignerBase, VerifierBase
class Ed25519Signer(SignerBase):
algorithm = 'ed25519'
seed_length = 32
def __init__(self, _key_type, secret=None):
if secret:
... | code_fim | hard | {
"lang": "python",
"repo": "andrewwhitehead/didauth",
"path": "/didauth/algo.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marcelotokarnia/mountain-catalog path: /mountains/models.py
from django.contrib.gis.db import models
from utils.models_utils import BaseModel
from django.contrib.auth.models import User
<|fim_suffix|> return "%s: %s(%sm)-%s (%s, %s)" % (self.pk, self.name, self.elevation, self.country, se... | code_fim | hard | {
"lang": "python",
"repo": "marcelotokarnia/mountain-catalog",
"path": "/mountains/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> id = models.AutoField(primary_key=True)
spot = models.PointField()
curiosities = models.TextField(blank=True, null=True)
province = models.CharField(max_length=128, blank=True, null=True)
difficulty = models.CharField(max_length=128, blank=True, null=True)
elevation = models.Intege... | code_fim | medium | {
"lang": "python",
"repo": "marcelotokarnia/mountain-catalog",
"path": "/mountains/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yns88/myanimefigures-core path: /anime/anime_figures.py
"""
Core logic utilities for connecting figures to anime series.
"""
from collections import defaultdict
import datetime
import logging
from xml.etree import ElementTree
import dateutil.parser
import requests
from .models import AnimeSerie... | code_fim | hard | {
"lang": "python",
"repo": "yns88/myanimefigures-core",
"path": "/anime/anime_figures.py",
"mode": "psm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_anime_list(user_id, recently_completed_count=RECENTLY_COMPLETED_COUNT):
watching_xml, completed_xml, series_lookup_ids, all_mal_ids = get_mal_xml(user_id, recently_completed_count)
mal_id_to_series, series_id_to_figures = get_bulk_lookups(series_lookup_ids)
watching, watching_nofigs =... | code_fim | hard | {
"lang": "python",
"repo": "yns88/myanimefigures-core",
"path": "/anime/anime_figures.py",
"mode": "spm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: random-python/nspawn path: /tool/install_local.py
#!/usr/bin/env python
<|fim_suffix|>shell("sudo python setup.py install")
shell("sudo rm -rf build")<|fim_middle|>"""
Use local install for manual testing
"""
from devrepo import base_dir
from devrepo import shell
project_dir = base_dir()
| code_fim | medium | {
"lang": "python",
"repo": "random-python/nspawn",
"path": "/tool/install_local.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>project_dir = base_dir()
shell("sudo python setup.py install")
shell("sudo rm -rf build")<|fim_prefix|># repo: random-python/nspawn path: /tool/install_local.py
#!/usr/bin/env python
<|fim_middle|>"""
Use local install for manual testing
"""
from devrepo import base_dir
from devrepo import shell
| code_fim | medium | {
"lang": "python",
"repo": "random-python/nspawn",
"path": "/tool/install_local.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: random-python/nspawn path: /tool/install_local.py
#!/usr/bin/env python
"""
Use local install for manual testing
"""
<|fim_suffix|>shell("sudo python setup.py install")
shell("sudo rm -rf build")<|fim_middle|>from devrepo import base_dir
from devrepo import shell
project_dir = base_dir()
| code_fim | medium | {
"lang": "python",
"repo": "random-python/nspawn",
"path": "/tool/install_local.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> date_count = 0
for date in range(0, len(dates)):
for key in c_grade_dict:
c_grade_dict[key].append(0)
for climb in range(0, len(climbs)):
if climbs[climb][0] == dates[date_count]:
for key in c_grade_dict:
... | code_fim | hard | {
"lang": "python",
"repo": "IveKileff/UKC_Logbook",
"path": "/logbook_5_build_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''create a dictionary of lists, each filled with number of climbs
climbed at each grade for each date'''
c_grade_dict = {}
for item in range(0, len(grades)):
c_grade_dict[grades[item]] = []
date_count = 0
for date in range(0, len(dates)):
... | code_fim | hard | {
"lang": "python",
"repo": "IveKileff/UKC_Logbook",
"path": "/logbook_5_build_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IveKileff/UKC_Logbook path: /logbook_5_build_data.py
import csv
from datetime import datetime
import plotly.graph_objects as go
from plotly.subplots import make_subplots
class BuildData:
'''A class that visualises the grades of the User's Lead Climbs'''
def __init__(self, filename):
... | code_fim | hard | {
"lang": "python",
"repo": "IveKileff/UKC_Logbook",
"path": "/logbook_5_build_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dizcza/sparse-representation path: /edX/midproj/omp.py
from sparse.greedy_pursuit import orthogonal_matching_pursuit
def omp(A, b, k):
<|fim_suffix|> solution = orthogonal_matching_pursuit(A, b=b, n_nonzero_coefs=k,
least_squares=False)
x = solu... | code_fim | medium | {
"lang": "python",
"repo": "dizcza/sparse-representation",
"path": "/edX/midproj/omp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> solution = orthogonal_matching_pursuit(A, b=b, n_nonzero_coefs=k,
least_squares=False)
x = solution.x
# return the obtained x
return x<|fim_prefix|># repo: dizcza/sparse-representation path: /edX/midproj/omp.py
from sparse.greedy_pursuit import ... | code_fim | medium | {
"lang": "python",
"repo": "dizcza/sparse-representation",
"path": "/edX/midproj/omp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KurozumiGH/modo-kits-kz-lissajous-curve path: /Kz_LissajousCurve/Scripts/KZLC_DrawCurve.py
# python
# -*- coding: utf-8 -*-
import lx
import math
import KZLC_Math as kzm
# Note: V-Ray curve settings
# item.channel vray_curve_max_segments 5000 (points * 2..3)
# Get parameters.
points... | code_fim | hard | {
"lang": "python",
"repo": "KurozumiGH/modo-kits-kz-lissajous-curve",
"path": "/Kz_LissajousCurve/Scripts/KZLC_DrawCurve.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Generate angles.
angles = kzm.linspace(0.0, kzm.PI2, points)
# Start curve.
lx.eval('tool.set prim.curve on')
lx.eval('tool.setAttr prim.curve mode add')
# Set curve points.
pointIdx = 0
for a in angles:
pointIdx = pointIdx + 1
# Calc point location.
x = center_x + scale_x * ... | code_fim | hard | {
"lang": "python",
"repo": "KurozumiGH/modo-kits-kz-lissajous-curve",
"path": "/Kz_LissajousCurve/Scripts/KZLC_DrawCurve.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># We can also fill in these extra nice things
year_day = json["day_of_year"]
week_day = json["day_of_week"]
is_dst = json["dst"]
now = time.struct_time(
(year, month, mday, hours, minutes, seconds, week_day, year_day, is_dst)
)
print(now)
the_rtc.datetime = now
while True:
print(time.localtime()... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_CircuitPython_ESP32SPI",
"path": "/examples/esp32spi_localtime.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adafruit/Adafruit_CircuitPython_ESP32SPI path: /examples/esp32spi_localtime.py
# SPDX-FileCopyrightText: 2019 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
import time
import board
import busio
from digitalio import DigitalInOut
import neopixel
import rtc
from adafruit_esp32spi ... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_CircuitPython_ESP32SPI",
"path": "/examples/esp32spi_localtime.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Raniac/NEURO-LEARN path: /env/lib/python3.6/site-packages/dipy/core/tests/test_sphere.py
from __future__ import division, print_function, absolute_import
import numpy as np
import numpy.testing as nt
import warnings
from dipy.utils.six.moves import xrange
from dipy.core.sphere import (Sphere, ... | code_fim | hard | {
"lang": "python",
"repo": "Raniac/NEURO-LEARN",
"path": "/env/lib/python3.6/site-packages/dipy/core/tests/test_sphere.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.