text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>YBLUE
colors['lightslateblue'] = LIGHTSLATEBLUE
colors['lightslategray'] = LIGHTSLATEGRAY
colors['lightsteelblue'] = LIGHTSTEELBLUE
colors['lightyellow'] = LIGHTYELLOW
colors['limegreen'] = LIMEGREEN
colors['linen'] = LINEN
colors['magenta'] = MAGENTA
colors['manganeseblue'] = MANGANESEBLUE
colors['maroon... | code_fim | hard | {
"lang": "python",
"repo": "jdrew1303/pyBusylight",
"path": "/pybusylight/color_constants.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> template = config.env.get_template(
"launch_role_constraints.template.yaml.j2"
).render(
portfolio={"DisplayName": self.portfolio,},
portfolio_id=portfolio_id,
launch_constraints=new_launch_constraints,
... | code_fim | hard | {
"lang": "python",
"repo": "jordan-evans/aws-service-catalog-puppet",
"path": "/servicecatalog_puppet/workflow/portfolio/constraints_management/create_launch_role_constraints_for_spoke_local_portfolio_task.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jordan-evans/aws-service-catalog-puppet path: /servicecatalog_puppet/workflow/portfolio/constraints_management/create_launch_role_constraints_for_spoke_local_portfolio_task.py
# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import... | code_fim | hard | {
"lang": "python",
"repo": "jordan-evans/aws-service-catalog-puppet",
"path": "/servicecatalog_puppet/workflow/portfolio/constraints_management/create_launch_role_constraints_for_spoke_local_portfolio_task.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abdelrahmanhosny/DL-Cerevesiae path: /data/occurences.py
from Bio import SeqIO
import os
'''
2. Find approximate occurrences of "likely" and "dubious" replication of origins in the resulting samples
'''
def occurences(origin, chromosome, distance):
count = 0
for i in range(0, len(chromo... | code_fim | hard | {
"lang": "python",
"repo": "abdelrahmanhosny/DL-Cerevesiae",
"path": "/data/occurences.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> d = len(origin) / 2 # try to find an origin with at most half of its length mismatched
# test against RNN
number_of_candidates = 0
for sample in rnn_samples:
number_of_candidates += occurences(origin, sample, d)
print 'The dubious origin ' + name + '... | code_fim | hard | {
"lang": "python",
"repo": "abdelrahmanhosny/DL-Cerevesiae",
"path": "/data/occurences.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for ip in ips:
print(reader.get(ip))<|fim_prefix|># repo: alikopasa/geoacumen-country path: /read.py
import maxminddb
reader = maxminddb.open_database("Geoacumen-Country.mmdb")
<|fim_middle|>
ips = [
"1.1.1.1",
"216.244.66.248",
"3.15.9.167",
"2a02:587:a12:f000:e9bf:9b70:4fd:c66",
... | code_fim | medium | {
"lang": "python",
"repo": "alikopasa/geoacumen-country",
"path": "/read.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alikopasa/geoacumen-country path: /read.py
import maxminddb
reader = maxminddb.open_database("Geoacumen-Country.mmdb")
<|fim_suffix|>for ip in ips:
print(reader.get(ip))<|fim_middle|>ips = [
"1.1.1.1",
"216.244.66.248",
"3.15.9.167",
"2a02:587:a12:f000:e9bf:9b70:4fd:c66",
... | code_fim | medium | {
"lang": "python",
"repo": "alikopasa/geoacumen-country",
"path": "/read.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: compeit-open-source/dashboard path: /manage.py
#!/usr/bin/env python
# Copyright 2016 The COMPEIT Consortium
#
# 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:/... | code_fim | hard | {
"lang": "python",
"repo": "compeit-open-source/dashboard",
"path": "/manage.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@manager.command
def test():
import unittest
tests = unittest.TestLoader().discover('tests')
unittest.TextTestRunner(verbosity=2).run(tests)
@manager.command
def sample_db():
create_sample_db()
@manager.command
def server():
socketio.run(app, host='0.0.0.0', port=16000, policy_ser... | code_fim | hard | {
"lang": "python",
"repo": "compeit-open-source/dashboard",
"path": "/manage.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MIT-LCP/physionet-build path: /physionet-django/user/migrations/0024_associatedemail_verification_token.py
# Generated by Django 2.2.10 on 2020-03-06 18:09
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.AddField(
model_name='associatedem... | code_fim | medium | {
"lang": "python",
"repo": "MIT-LCP/physionet-build",
"path": "/physionet-django/user/migrations/0024_associatedemail_verification_token.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies = [
('user', '0023_auto_20191125_1500'),
]
operations = [
migrations.AddField(
model_name='associatedemail',
name='verification_token',
field=models.CharField(blank=True, max_length=32, n... | code_fim | easy | {
"lang": "python",
"repo": "MIT-LCP/physionet-build",
"path": "/physionet-django/user/migrations/0024_associatedemail_verification_token.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='associatedemail',
name='verification_token',
field=models.CharField(blank=True, max_length=32, null=True),
),
]<|fim_prefix|># repo: MIT-LCP/physionet-build path: /physionet-django/user/migrations/... | code_fim | medium | {
"lang": "python",
"repo": "MIT-LCP/physionet-build",
"path": "/physionet-django/user/migrations/0024_associatedemail_verification_token.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jstoebel/python path: /exercises/concept/black-jack/black_jack_test.py
import unittest
import pytest
from black_jack import (
number_of_card,
number_of_ace,
blackjack
)
class TestComparisons(unittest.TestCase):
@pytest.mark.task(taskno=1)
def test_number_of_card(self):
... | code_fim | hard | {
"lang": "python",
"repo": "jstoebel/python",
"path": "/exercises/concept/black-jack/black_jack_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> input_data = [['A', 'J'], [10, 9]]
output_data = [True, False]
number_of_variants = range(1, len(input_data) + 1)
for variant, input, output in zip(number_of_variants, input_data, output_data):
with self.subTest(f"variation #{variant}", input=input, output=outp... | code_fim | hard | {
"lang": "python",
"repo": "jstoebel/python",
"path": "/exercises/concept/black-jack/black_jack_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @pytest.mark.task(taskno=3)
def test_blackjack(self):
input_data = [['A', 'J'], [10, 9]]
output_data = [True, False]
number_of_variants = range(1, len(input_data) + 1)
for variant, input, output in zip(number_of_variants, input_data, output_data):
with ... | code_fim | hard | {
"lang": "python",
"repo": "jstoebel/python",
"path": "/exercises/concept/black-jack/black_jack_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iridium-browser/iridium-browser path: /native_client/src/untrusted/pnacl_dynloader/nacl.scons
# -*- python -*-
# Copyright (c) 2014 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
Import('env')
... | code_fim | hard | {
"lang": "python",
"repo": "iridium-browser/iridium-browser",
"path": "/native_client/src/untrusted/pnacl_dynloader/nacl.scons",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>if not env.Bit('bitcode'):
Return()
# TODO(mseaborn): Add support for x86-64 relocation types.
if env.Bit('build_x86_64'):
Return()
# TODO(sbc): Add support for mips relocation types.
if env.Bit('build_mips32'):
Return()
env.AddBiasForPNaCl()
env.ComponentLibrary('pnacl_dynloader', ['dynloader.c'])... | code_fim | medium | {
"lang": "python",
"repo": "iridium-browser/iridium-browser",
"path": "/native_client/src/untrusted/pnacl_dynloader/nacl.scons",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """No need to poll. Coordinator notifies entity of updates."""
return False
@property
def available(self):
"""Return if entity is available."""
return self.coordinator.last_update_success
@property
def unique_id(self):
"""Return a unique ID to use ... | code_fim | hard | {
"lang": "python",
"repo": "MattyRoy/ha-coct-loadshedding",
"path": "/custom_components/coct_loadshedding/entity.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MattyRoy/ha-coct-loadshedding path: /custom_components/coct_loadshedding/entity.py
"""CoCTEntity class"""
from homeassistant.helpers import entity
from .const import DOMAIN, NAME, VERSION
class CoCTEntity(entity.Entity):
def __init__(self, coordinator, config_entry):
self.coordinat... | code_fim | hard | {
"lang": "python",
"repo": "MattyRoy/ha-coct-loadshedding",
"path": "/custom_components/coct_loadshedding/entity.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {
"identifiers": {(DOMAIN, self.unique_id)},
"name": NAME,
"model": VERSION,
"manufacturer": "tinuva",
}
@property
def device_state_attributes(self):
"""Return the state attributes."""
return {
"loa... | code_fim | hard | {
"lang": "python",
"repo": "MattyRoy/ha-coct-loadshedding",
"path": "/custom_components/coct_loadshedding/entity.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NamPNQ/rwrapper path: /rwrapper/fields.py
"""
@fileoverview rWrapper Fields
@author David Parlevliet
@version 20130730
@preserve Copyright 2013 David Parlevliet.
"""
import math
from . import rwrapper
def negative_field_check(should_check, value):
if not should_check:
return value
... | code_fim | hard | {
"lang": "python",
"repo": "NamPNQ/rwrapper",
"path": "/rwrapper/fields.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.ensure_max_decimals(value)
class ObjectField(Field):
def validate(self, value):
if type(value) is not dict and type(value) is not list:
raise ValueError('%s field is not dict or list type. Found type: %s' % (
self._name(),
type(... | code_fim | hard | {
"lang": "python",
"repo": "NamPNQ/rwrapper",
"path": "/rwrapper/fields.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>requisites = models.TextField()
workload = models.TextField()
topic_covered = models.TextField()<|fim_prefix|># repo: dinganthony/hknweb path: /hknweb/courses/models.py
from django.db import models
# Create your models here.
class Course(models.Model):
course_numb<|fim_middle|>er = models.CharField(m... | code_fim | medium | {
"lang": "python",
"repo": "dinganthony/hknweb",
"path": "/hknweb/courses/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>True)
name = models.CharField(max_length=255, null=False)
description = models.TextField()
prerequisites = models.TextField()
workload = models.TextField()
topic_covered = models.TextField()<|fim_prefix|># repo: dinganthony/hknweb path: /hknweb/courses/models.py
from django.db import models
# Creat... | code_fim | medium | {
"lang": "python",
"repo": "dinganthony/hknweb",
"path": "/hknweb/courses/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dinganthony/hknweb path: /hknweb/courses/models.py
from django.db import models
# Create your models here.
class Course(models.Model):
course_numb<|fim_suffix|>True)
name = models.CharField(max_length=255, null=False)
description = models.TextField()
prerequisites = models.TextField()
workl... | code_fim | medium | {
"lang": "python",
"repo": "dinganthony/hknweb",
"path": "/hknweb/courses/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: voletiv/DeepLearningImplementations path: /BEGAN/src/utils/visualization_utils.py
import os
import numpy as np
import tensorflow as tf
import matplotlib.pylab as plt
import matplotlib as mp
FLAGS = tf.app.flags.FLAGS
def format_plot(X, epoch=None, title=None, figsize=(15, 10)):
<|fim_suffix|>... | code_fim | hard | {
"lang": "python",
"repo": "voletiv/DeepLearningImplementations",
"path": "/BEGAN/src/utils/visualization_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if FLAGS.data_format == "NCHW":
X1 = X1.transpose((0, 2, 3, 1))
X2 = X2.transpose((0, 2, 3, 1))
Xup = X1[:32]
Xdown = X2[:32]
n_cols = 8
list_rows_f = []
for i in range(Xup.shape[0] // n_cols):
Xrow = np.concatenate([Xup[k] for k in range(n_cols * i, n_c... | code_fim | hard | {
"lang": "python",
"repo": "voletiv/DeepLearningImplementations",
"path": "/BEGAN/src/utils/visualization_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: drat/Drat-Computer-Vision-AI path: /inference/loader/tf_model.py
import copy
import cv2
import logging
import numpy as np
import os
import signal
import tensorflow as tf
import time
from benchmark.usage import Timer, get_cpu_usage, get_mem_usuage, print_cpu_usage, print_mem_usage, show_usage
fro... | code_fim | hard | {
"lang": "python",
"repo": "drat/Drat-Computer-Vision-AI",
"path": "/inference/loader/tf_model.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Expand dimensions since the model expects images to have shape: [1, None, None, 3]
curr_frame_expanded = np.expand_dims(input, axis=0)
if self.score is None and self.expand is None:
output_dict = self.sess.run(self.tensor_dict,
feed_dict={sel... | code_fim | hard | {
"lang": "python",
"repo": "drat/Drat-Computer-Vision-AI",
"path": "/inference/loader/tf_model.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> msg = [_('You *will receive* notifications from\n')]
for sub in included_subs:
msg.append(self._build_subscription_info(sub))
if excluded_subs:
msg.append(_('\n*excluding*\n'))
for sub in excluded_subs:
msg.append(self._build_s... | code_fim | hard | {
"lang": "python",
"repo": "vitaliyp/tkgbot",
"path": "/tkgbot/tkgbot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vitaliyp/tkgbot path: /tkgbot/tkgbot.py
import sys
import re
from .bot import BotError, BotCommand, Bot
from .models import Subscription, Node, NodeType
from .settings import translation
_ = translation.gettext
MSG_INCORRECT_COMMAND=_('Incorrect command. Use /help for the list of commands.')
... | code_fim | hard | {
"lang": "python",
"repo": "vitaliyp/tkgbot",
"path": "/tkgbot/tkgbot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> subparser = subparsers.add_parser("generate_buffet")
subparser.set_defaults(function=generate_buffet.main)
subparser = subparsers.add_parser("test")
subparser.set_defaults(function=test.main)
subparser.add_argument("--dishes", default="", type=re.compile)
subparser = subparsers.a... | code_fim | medium | {
"lang": "python",
"repo": "pombredanne/code-cleaner-buffet",
"path": "/maintenance.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> arguments = parser.parse_args()
arguments.function(arguments)
if __name__ == "__main__":
main()<|fim_prefix|># repo: pombredanne/code-cleaner-buffet path: /maintenance.py
#!/usr/bin/env python3
import argparse
import re
from maintenance import generate_buffet
from maintenance import test
... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/code-cleaner-buffet",
"path": "/maintenance.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/code-cleaner-buffet path: /maintenance.py
#!/usr/bin/env python3
import argparse
import re
from maintenance import generate_buffet
from maintenance import test
from maintenance import update_helpers
<|fim_suffix|> parser = argparse.ArgumentParser()
subparsers = parser.add_su... | code_fim | medium | {
"lang": "python",
"repo": "pombredanne/code-cleaner-buffet",
"path": "/maintenance.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
parser = argparse.ArgumentParser(description='Train a model on TriviaQA web')
parser.add_argument('mode', choices=["paragraph-level", "confidence", "merge",
"shared-norm", "sigmoid", "shared-norm-600"])
parser.add_argument("name", help="Whe... | code_fim | hard | {
"lang": "python",
"repo": "alphaf52/document-qa",
"path": "/docqa/scripts/ablate_triviaqa.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alphaf52/document-qa path: /docqa/scripts/ablate_triviaqa.py
import argparse
from datetime import datetime
from typing import Optional
from tensorflow.contrib.keras.python.keras.initializers import TruncatedNormal
from docqa import model_dir
from docqa import trainer
from docqa.data_processing.... | code_fim | hard | {
"lang": "python",
"repo": "alphaf52/document-qa",
"path": "/docqa/scripts/ablate_triviaqa.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Create done directory where processed files and files with errors will be moved to.
if not os.path.exists(SOURCE_ROOT + 'done/'):
os.makedirs(SOURCE_ROOT + 'done/')
if not os.path.exists(SOURCE_ROOT + 'error/'):
os.makedirs(SOURCE_ROOT + 'error/')
if not os.path... | code_fim | hard | {
"lang": "python",
"repo": "sosajohn/ApplePhotoOrganizer",
"path": "/edited.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sosajohn/ApplePhotoOrganizer path: /edited.py
import exifread
import os
import shutil
from subprocess import call
SOURCE_ROOT = '/Volumes/Pictures/Elein - 2021 01 07/edited/'
DESTINATION_ROOT = '/Volumes/Pictures/Pictures/'
PHOTOGRAPHER = 'Elein'
def moveAndUpdate(name, extension, year... | code_fim | hard | {
"lang": "python",
"repo": "sosajohn/ApplePhotoOrganizer",
"path": "/edited.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # make sure length is 11 or less
if len(className) >= 12:
logging.debug("User entered a class name that was longer than 11 characters.")
print("Class Name is too long. Max length is 11 characters.")
else:
logging.debug("User entered valid class n... | code_fim | hard | {
"lang": "python",
"repo": "sethjwhitaker/INF360-projects",
"path": "/SethWhitakerFinalProject/SethWhitakerFinalProject.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sethjwhitaker/INF360-projects path: /SethWhitakerFinalProject/SethWhitakerFinalProject.py
# INF360 - Programming in Python
# Seth Whitaker
# Final Project
# Transcript Manager
# 07/18/2020
# Goals of this project:
# 1. Get course information as input from user
# 2. Store info in nested dictionar... | code_fim | hard | {
"lang": "python",
"repo": "sethjwhitaker/INF360-projects",
"path": "/SethWhitakerFinalProject/SethWhitakerFinalProject.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># ---- menuPrompt function -------------------------------------------------------------------------------------
# displays menu prompt and returns user's choice
def menuPrompt():
print("-"*27)
print(" "*11 + "MENU")
print("-"*27)
print("1. Enter Transcript Grades")
print("2. View Full... | code_fim | hard | {
"lang": "python",
"repo": "sethjwhitaker/INF360-projects",
"path": "/SethWhitakerFinalProject/SethWhitakerFinalProject.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adafruit/Adafruit_Learning_System_Guides path: /Starduino_8bit_Super_Mario_Tree_Topper/code.py
# SPDX-FileCopyrightText: 2018 Mikey Sklar for Adafruit Industries
#
# SPDX-License-Identifier: MIT
import board
import neopixel
import adafruit_fancyled.adafruit_fancyled as fancy
<|fim_suffix|># Ins... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_Learning_System_Guides",
"path": "/Starduino_8bit_Super_Mario_Tree_Topper/code.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # heat colors
palette = [0x330000, 0x660000, 0x990000, 0xCC0000, 0xFF0000,
0xFF3300, 0xFF6600, 0xFF9900, 0xFFCC00, 0xFFFF00,
0xFFFF33, 0xFFFF66, 0xFFFF99, 0xFFFFCC]
for i in range(num_leds):
# FancyLED can handle the gamma adjustment, brightness and RGB s... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_Learning_System_Guides",
"path": "/Starduino_8bit_Super_Mario_Tree_Topper/code.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return weighting_matrix, x_coords, y_coords
def main():
file = '/media/veritas/D/FastMRI/multicoil_val/file1001689.h5'
# with h5py.File(file, mode='r') as hf:
# kspace = hf['kspace'][18, 7]
original = np.ones((320, 320))
kspace = np.fft.ifftshift(np.fft.fft2(np.fft.fftshift... | code_fim | hard | {
"lang": "python",
"repo": "n644t031/fastMRI-kspace",
"path": "/scratch/scratch11.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: n644t031/fastMRI-kspace path: /scratch/scratch11.py
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import h5py
def make_weighting_matrix(array, squared_weighting=False):
*_, height, width = array.shape
assert (height % 2 == 0) and (width % 2 ... | code_fim | hard | {
"lang": "python",
"repo": "n644t031/fastMRI-kspace",
"path": "/scratch/scratch11.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> original = np.ones((320, 320))
kspace = np.fft.ifftshift(np.fft.fft2(np.fft.fftshift(original, axes=(-2, -1)), axes=(-2, -1)), axes=(-2, -1))
semi = np.fft.ifftshift(np.fft.ifft(np.fft.fftshift(kspace, axes=-2), axis=-2), axes=-2)
# absolute = np.abs(semi)
absolute = semi.imag
we... | code_fim | hard | {
"lang": "python",
"repo": "n644t031/fastMRI-kspace",
"path": "/scratch/scratch11.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antmont/wmda-stuff path: /wmdadict/urls.py
from django.conf.urls import url
from . import views
app_name = 'wmdadict'
urlpatterns = [
# # /
# url(r'^$', views.index, name='index'),
# /dict/
url(r'^dict/$', views.dictionary_list, name='dictionary_list'),
# /dict/5/
url(r'... | code_fim | hard | {
"lang": "python",
"repo": "antmont/wmda-stuff",
"path": "/wmdadict/urls.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>w_list'),
# /bmdw/5/
url(r'^bmdw/(?P<field_id>[0-9]+)/$', views.bmdw_detail, name='bmdw_detail'),
# /form/
url(r'^form/$', views.form_list, name='form_list'),
# /form/5/
url(r'^form/(?P<field_id>[0-9]+)/$', views.form_detail, name='form_detail'),
]<|fim_prefix|># repo: antmont/wmda... | code_fim | hard | {
"lang": "python",
"repo": "antmont/wmda-stuff",
"path": "/wmdadict/urls.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
pyvsapm.partition: a APM partition.
"""
return self._vsapm_partition
def GetParentFileEntry(self):
"""Retrieves the parent file entry.
Returns:
APMFileEntry: parent file entry or None if not available.
"""
entry_index = apm_helper.APMPathSpecGetEntryInd... | code_fim | hard | {
"lang": "python",
"repo": "log2timeline/dfvfs",
"path": "/dfvfs/vfs/apm_file_entry.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Retrieves the directory.
Returns:
APMDirectory: a directory.
"""
if self.entry_type != definitions.FILE_ENTRY_TYPE_DIRECTORY:
return None
return apm_directory.APMDirectory(self._file_system, self.path_spec)
def _GetSubFileEntries(self):
"""Retrieves sub file ent... | code_fim | hard | {
"lang": "python",
"repo": "log2timeline/dfvfs",
"path": "/dfvfs/vfs/apm_file_entry.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: log2timeline/dfvfs path: /dfvfs/vfs/apm_file_entry.py
# -*- coding: utf-8 -*-
"""The Apple Partition Map (APM) file entry implementation."""
from dfvfs.lib import definitions
from dfvfs.lib import errors
from dfvfs.lib import apm_helper
from dfvfs.vfs import file_entry
from dfvfs.vfs import apm_... | code_fim | hard | {
"lang": "python",
"repo": "log2timeline/dfvfs",
"path": "/dfvfs/vfs/apm_file_entry.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PyWaves/PyWaves path: /protobuf/waves/node/grpc/accounts_api_pb2.py
_insertion_point(imports)
_sym_db = _symbol_database.Default()
from waves import amount_pb2 as waves_dot_amount__pb2
from waves import transaction_pb2 as waves_dot_transaction__pb2
from waves import recipient_pb2 as waves_dot_... | code_fim | hard | {
"lang": "python",
"repo": "PyWaves/PyWaves",
"path": "/protobuf/waves/node/grpc/accounts_api_pb2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>_SCRIPTDATA = _descriptor.Descriptor(
name='ScriptData',
full_name='waves.node.grpc.ScriptData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='script_bytes', full_name='waves.node.grpc.... | code_fim | hard | {
"lang": "python",
"repo": "PyWaves/PyWaves",
"path": "/protobuf/waves/node/grpc/accounts_api_pb2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
_LEASERESPONSE = _descriptor.Descriptor(
name='LeaseResponse',
full_name='waves.node.grpc.LeaseResponse',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='leaseId', full_name='waves.node.... | code_fim | hard | {
"lang": "python",
"repo": "PyWaves/PyWaves",
"path": "/protobuf/waves/node/grpc/accounts_api_pb2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> error = 0
if loss in available_losses.keys():
error = available_losses[loss](y, yhat)
deviation_from_mean = available_losses[loss](y, [np.mean(y)] * y.shape[0])
r2 = (deviation_from_mean - error) / deviation_from_mean
else:
message ... | code_fim | hard | {
"lang": "python",
"repo": "shreeviknesh/ScratchML",
"path": "/scratchml/regression/SimpleLinearRegression.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shreeviknesh/ScratchML path: /scratchml/regression/SimpleLinearRegression.py
import numpy as np
from ..utils import mean_squared_error, mean_absolute_error, root_mean_squared_error
from ..utils import InvalidValueException, ModelNotTrainedException
class SimpleLinearRegression:
"""Simple Li... | code_fim | hard | {
"lang": "python",
"repo": "shreeviknesh/ScratchML",
"path": "/scratchml/regression/SimpleLinearRegression.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
yhat (array): Predicted output values of shape (k,)
"""
if(self.__trained == False):
raise ModelNotTrainedException(self.predict.__name__)
x = np.array(x, 'float64')
return (self.coef_[1] * x) + self.coef_[0]
def evalua... | code_fim | hard | {
"lang": "python",
"repo": "shreeviknesh/ScratchML",
"path": "/scratchml/regression/SimpleLinearRegression.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@router.get("", name="Health check", response_model=str)
async def runGetHealthCheck():
return healthcheck.getHealthCheck()<|fim_prefix|># repo: rbipin/cidr-ip-calculator path: /api/src/routes/healthcheck.py
from fastapi import APIRouter
from src.controllers import healthcheck
<|fim_middle|>router =... | code_fim | medium | {
"lang": "python",
"repo": "rbipin/cidr-ip-calculator",
"path": "/api/src/routes/healthcheck.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@router.get("", name="Health check", response_model=str)
async def runGetHealthCheck():
return healthcheck.getHealthCheck()<|fim_prefix|># repo: rbipin/cidr-ip-calculator path: /api/src/routes/healthcheck.py
from fastapi import APIRouter
from src.controllers import healthcheck
<|fim_middle|>router ... | code_fim | medium | {
"lang": "python",
"repo": "rbipin/cidr-ip-calculator",
"path": "/api/src/routes/healthcheck.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rbipin/cidr-ip-calculator path: /api/src/routes/healthcheck.py
from fastapi import APIRouter
from src.controllers import healthcheck
<|fim_suffix|>@router.get("", name="Health check", response_model=str)
async def runGetHealthCheck():
return healthcheck.getHealthCheck()<|fim_middle|>router =... | code_fim | medium | {
"lang": "python",
"repo": "rbipin/cidr-ip-calculator",
"path": "/api/src/routes/healthcheck.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.values.append(value)
self.sum += value
self.count += 1
def __init__(self):
self.reward_terms = dict() # {str: RewardTerm}
def init(self, reward_term_names):
for item in reward_term_names:
self.reward_terms[item] = self.RewardT... | code_fim | hard | {
"lang": "python",
"repo": "alexpostnikov/raisimpy",
"path": "/examples/raisimpy_gym/envs/reward_logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alexpostnikov/raisimpy path: /examples/raisimpy_gym/envs/reward_logger.py
#!/usr/bin/env python
"""Reward Logger
This is the Python version of the reward logger class as described in [1].
References:
- [1] https://github.com/leggedrobotics/raisimGym/blob/master/raisim_gym/env/RewardLogger.h... | code_fim | hard | {
"lang": "python",
"repo": "alexpostnikov/raisimpy",
"path": "/examples/raisimpy_gym/envs/reward_logger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.reward_terms
def clean(self):
for item in self.reward_terms.values():
item.clean()
# global reward logger
raisim.gui.reward_logger = RewardLogger()<|fim_prefix|># repo: alexpostnikov/raisimpy path: /examples/raisimpy_gym/envs/reward_logger.py
#!/usr/bin/env ... | code_fim | hard | {
"lang": "python",
"repo": "alexpostnikov/raisimpy",
"path": "/examples/raisimpy_gym/envs/reward_logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with youtube_dl.YoutubeDL(YDL_OPTIONS) as ydl:
info = ydl.extract_info(url, download=False)
url2 = info['formats'][0]['url']
source = await discord.FFmpegOpusAudio.from_probe(url2, **FFMPEG_OPTIONS)
vc.play(source)
except:... | code_fim | hard | {
"lang": "python",
"repo": "Menorzinxz/MusicBot",
"path": "/cogs/music.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Menorzinxz/MusicBot path: /cogs/music.py
import discord
import random
import json
import os
import asyncio
import youtube_dl
from discord.ext import commands
from discord.ext.commands import has_permissions
from discord.utils import get
from discord import FFmpegPCMAudio
from async_timeout import... | code_fim | hard | {
"lang": "python",
"repo": "Menorzinxz/MusicBot",
"path": "/cogs/music.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oporadokrl/skull-painel path: /data/cep.py
import requests,time
from data import ui
def consultar(lang):
cep_input = ui.input_dialog()
if len(cep_input) != 8:
msg = lang[61]
else:
request = requests.get('https://viacep.com.br/ws/{}/json/'.format(ce<|fim_suffix|>''
... | code_fim | hard | {
"lang": "python",
"repo": "oporadokrl/skull-painel",
"path": "/data/cep.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ta['bairro']}
{lang[68]}: {adress_data["localidade"]}
{lang[69]}: {adress_data['uf']}
IBGE: {adress_data['ibge']}
GIA: {adress_data['gia']}
SIAFI: {adress_data['siafi']}
DDD: {adress_data['ddd']}
'''
except:
msg = lang[12]
choice = ui.dialog_choi... | code_fim | hard | {
"lang": "python",
"repo": "oporadokrl/skull-painel",
"path": "/data/cep.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tjlee/poptimizer path: /poptimizer/evolve/chromosomes/__init__.py
"""Хромосомы и гены для мутации параметров модели, данных и политики обучения."""
from poptimizer<|fim_suffix|>romosomes.optimizer import Optimizer
from poptimizer.evolve.chromosomes.scheduler import Scheduler<|fim_middle|>.evolve.... | code_fim | medium | {
"lang": "python",
"repo": "tjlee/poptimizer",
"path": "/poptimizer/evolve/chromosomes/__init__.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>s.data import Data
from poptimizer.evolve.chromosomes.model import Model
from poptimizer.evolve.chromosomes.optimizer import Optimizer
from poptimizer.evolve.chromosomes.scheduler import Scheduler<|fim_prefix|># repo: tjlee/poptimizer path: /poptimizer/evolve/chromosomes/__init__.py
"""Хромосомы и гены д... | code_fim | medium | {
"lang": "python",
"repo": "tjlee/poptimizer",
"path": "/poptimizer/evolve/chromosomes/__init__.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ihaaae/universal_adversarial_perturbation_generative_network_for_speaker_recognition path: /train_generator.py
all[k]['factor_grow']
def __call__(self, pred, labels):
loss_dict_grad = {}
loss_dict = {}
pred_dict = {}
label_dict = {}
for key, loss in se... | code_fim | hard | {
"lang": "python",
"repo": "ihaaae/universal_adversarial_perturbation_generative_network_for_speaker_recognition",
"path": "/train_generator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> eval_rtn:dict, test_rtn:dict, logger:logging.Logger, writer:SummaryWriter):
# save model
acc = eval_rtn.get('err_spk', 0)-eval_rtn.get('err_sph', 1)
is_best = acc > self.best_accu
self.best_accu = acc if is_best else self.best_accu
model_filename = "epoch_{}... | code_fim | hard | {
"lang": "python",
"repo": "ihaaae/universal_adversarial_perturbation_generative_network_for_speaker_recognition",
"path": "/train_generator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = model.cuda()
if args.eval:
assert args.pt_file != 'none', "no pretrained model is provided!"
print('only eval the model')
evaluate(model, test_dataset, cost, args.target, args.noise_scale)
return
if args.test:
assert args.pt_file != 'none', "no p... | code_fim | hard | {
"lang": "python",
"repo": "ihaaae/universal_adversarial_perturbation_generative_network_for_speaker_recognition",
"path": "/train_generator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UKTV/django-cas-consumer path: /cas_consumer/backends.py
# -*- coding: utf-8 -*-
"""cas_consumer.backends -- authentication backend for CAS v1.0
"""
import logging
logger = logging.getLogger('cas.consumer')
import urllib2
import urllib
import gzip
try:
from xml.etree import ElementTree
exce... | code_fim | hard | {
"lang": "python",
"repo": "UKTV/django-cas-consumer",
"path": "/cas_consumer/backends.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if users:
changed = False
if (self.set_email
and 'email' in valid.attributes
and valid.attributes['email'] != user.email
):
user.email = valid.attributes['email']
changed = True
if ... | code_fim | hard | {
"lang": "python",
"repo": "UKTV/django-cas-consumer",
"path": "/cas_consumer/backends.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ai-ku/uwsd path: /run/fetch-aw-tw.py
#! /usr/bin/python
# -*- coding: utf-8 -*-
__author__ = "Osman Baskaya"
"""
Fetching target words and their ids for all-words task
"""
from uwsd_utils import get_dataset_path
import sys
from bs4 import BeautifulSoup
import re
if len(sys.argv) != 2:
msg... | code_fim | medium | {
"lang": "python",
"repo": "ai-ku/uwsd",
"path": "/run/fetch-aw-tw.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dataset = sys.argv[1]
dataset_path = get_dataset_path(dataset)
if dataset == "s07aw":
line_add = 2
else:
line_add = 1
soup = BeautifulSoup(open(dataset_path), 'xml')
regex = re.compile('(\w+)\.s(\d+)\.t(\d+)')
if dataset == 's10aw':
sentences = soup.find_all('s')
c = 0
for sentence i... | code_fim | medium | {
"lang": "python",
"repo": "ai-ku/uwsd",
"path": "/run/fetch-aw-tw.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mdecleir/spex_nir_extinction path: /calc_fit_plot_ext.py
# This script is intended to automate the calculation, fitting and plotting of the extinction curves of all stars in the sample.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocato... | code_fim | hard | {
"lang": "python",
"repo": "mdecleir/spex_nir_extinction",
"path": "/calc_fit_plot_ext.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Fit and plot the extinction features separately
Parameters
----------
starpair : string
Name of the star pair for which to fit the extinction features, in the format "reddenedstarname_comparisonstarname" (no spaces)
path : string
Path to the data files
Re... | code_fim | hard | {
"lang": "python",
"repo": "mdecleir/spex_nir_extinction",
"path": "/calc_fit_plot_ext.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>bind_layers(Ether, CPUMetadata1, type=TYPE_CPU_METADATA)
bind_layers(CPUMetadata1, IP, origEtherType=0x0800)
bind_layers(CPUMetadata1, ARP, origEtherType=0x0806)<|fim_prefix|># repo: fno2010/pwospf-p4 path: /cpu_metadata.py
from scapy.fields import BitField, ByteField, ShortField
from scapy.packet import... | code_fim | hard | {
"lang": "python",
"repo": "fno2010/pwospf-p4",
"path": "/cpu_metadata.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fno2010/pwospf-p4 path: /cpu_metadata.py
from scapy.fields import BitField, ByteField, ShortField
from scapy.packet import Packet, bind_layers
from scapy.layers.inet import IP
from scapy.layers.l2 import Ether, ARP
<|fim_suffix|>class CPUMetadata1(Packet):
"""
header cpu_metadata_t {
... | code_fim | medium | {
"lang": "python",
"repo": "fno2010/pwospf-p4",
"path": "/cpu_metadata.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: modin-project/modin path: /stress_tests/kaggle/kaggle13.py
#!/usr/bin/env python
import matplotlib
matplotlib.use("PS")
import modin.pandas as pd
import warnings # current version of seaborn generates a bunch of warnings that we'll ignore
<|fim_suffix|>andrews_curves(iris.drop("Id", axis=1), "... | code_fim | hard | {
"lang": "python",
"repo": "modin-project/modin",
"path": "/stress_tests/kaggle/kaggle13.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>andrews_curves(iris.drop("Id", axis=1), "Species")
from pandas.tools.plotting import parallel_coordinates
parallel_coordinates(iris.drop("Id", axis=1), "Species")
from pandas.tools.plotting import radviz
radviz(iris.drop("Id", axis=1), "Species")<|fim_prefix|># repo: modin-project/modin path: /stress_t... | code_fim | hard | {
"lang": "python",
"repo": "modin-project/modin",
"path": "/stress_tests/kaggle/kaggle13.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WHU-SoftwareSecurity/final path: /src/callback/__init__.py
from .dangsan import dangsan_callback
heap_expo_callba<|fim_suffix|>rom .address_sanitizer import address_sanitizer_callback
from .heap_detective import heap_detective_callback<|fim_middle|>ck = dangsan_callback
from .ufo import ufo_call... | code_fim | easy | {
"lang": "python",
"repo": "WHU-SoftwareSecurity/final",
"path": "/src/callback/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ck
from .heap_detective import heap_detective_callback<|fim_prefix|># repo: WHU-SoftwareSecurity/final path: /src/callback/__init__.py
from .dangsan import dangsan_callback
heap_expo_callba<|fim_middle|>ck = dangsan_callback
from .ufo import ufo_callback
from .address_sanitizer import address_sanitizer_... | code_fim | medium | {
"lang": "python",
"repo": "WHU-SoftwareSecurity/final",
"path": "/src/callback/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>rom .address_sanitizer import address_sanitizer_callback
from .heap_detective import heap_detective_callback<|fim_prefix|># repo: WHU-SoftwareSecurity/final path: /src/callback/__init__.py
from .dangsan import dangsan_callback
heap_expo_callba<|fim_middle|>ck = dangsan_callback
from .ufo import ufo_call... | code_fim | easy | {
"lang": "python",
"repo": "WHU-SoftwareSecurity/final",
"path": "/src/callback/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.options = self.load_options(True)
def setup_view(self):
self.options_window = tk.Toplevel(self.root, width=560, height=200)
self.frame = tk.Frame(self.options_window)
self.options_label = tk.Label(self.frame,
text="Options",
... | code_fim | hard | {
"lang": "python",
"repo": "jailukanna/PicCollector",
"path": "/gui/options_view.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def set_viewer(self):
self.options['viewer'] = self.options['viewer_alts'][self.viewer_selector.current()]
self.options['viewerOptions']['width'] = self.options['viewerOptions']['alt_widths'][self.image_viewer_width.current()]
self.options['viewerOptions']['height'] = self.opti... | code_fim | hard | {
"lang": "python",
"repo": "jailukanna/PicCollector",
"path": "/gui/options_view.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jailukanna/PicCollector path: /gui/options_view.py
import os
import json
import traceback
import _tkinter
import tkinter as tk
import tkinter.ttk as ttk
from tkinter import filedialog
class OptionsView:
options_file = 'options.json'
default_options_file = 'default_options.json'
opt... | code_fim | hard | {
"lang": "python",
"repo": "jailukanna/PicCollector",
"path": "/gui/options_view.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class ComponentGroup(object):
"""A grouping of components with dependencies that can be executed."""
def __init__(self):
self.components = []
def add_component(self, component):
self.components.append(component)
def execute(self, action, subcomponents=None):
remaining = subcomponent... | code_fim | hard | {
"lang": "python",
"repo": "HubSpot/vitess",
"path": "/test/cluster/sandbox/sandlet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HubSpot/vitess path: /test/cluster/sandbox/sandlet.py
# Copyright 2017 Google Inc.
#
# 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/licen... | code_fim | hard | {
"lang": "python",
"repo": "HubSpot/vitess",
"path": "/test/cluster/sandbox/sandlet.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def is_up(self):
"""Whether the component has finished being started."""
return True
def is_down(self):
"""Whether the component has finished being stopped."""
return True
class SandletComponent(object):
"""Entity of a sandlet that encapsulates a process or job."""
def __init__... | code_fim | hard | {
"lang": "python",
"repo": "HubSpot/vitess",
"path": "/test/cluster/sandbox/sandlet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cycle13/ekman path: /ekman/conf.py
import os
def createFolders(directory):
try:
if not os.path.exists(directory):
os.makedirs(directory)
<|fim_suffix|>:
print ('Error: Creating project folder: ' + directory)<|fim_middle|> os.makedirs(directory+'/') ... | code_fim | medium | {
"lang": "python",
"repo": "cycle13/ekman",
"path": "/ekman/conf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>:
print ('Error: Creating project folder: ' + directory)<|fim_prefix|># repo: cycle13/ekman path: /ekman/conf.py
import os
def createFolders(directory):
try:
if not os.path.exists(directory):
os.makedirs(directory)
<|fim_middle|> os.makedirs(directory+'/') ... | code_fim | medium | {
"lang": "python",
"repo": "cycle13/ekman",
"path": "/ekman/conf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> os.makedirs(directory+'/')
except OSError:
print ('Error: Creating project folder: ' + directory)<|fim_prefix|># repo: cycle13/ekman path: /ekman/conf.py
import os
def createFolders(directory):
try:
if no<|fim_middle|>t os.path.exists(directory):
os... | code_fim | medium | {
"lang": "python",
"repo": "cycle13/ekman",
"path": "/ekman/conf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertRaises(ValueError, Bytes.decode, b'')
def test_decode_underflow(self):
self.assertRaises(ValueError, Bytes.decode, b'\x00\x04\x874\x9d')
def test_encode(self):
val = Bytes(b'\x87\x34\x9d\xbc')
print(repr(val.encode()))
assert val.encode() == b'\... | code_fim | hard | {
"lang": "python",
"repo": "AppDirectory/kafka-tools",
"path": "/tests/tools/protocol/types/test_bytes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_encode(self):
val = Bytes(b'\x87\x34\x9d\xbc')
print(repr(val.encode()))
assert val.encode() == b'\x00\x04\x87\x34\x9d\xbc'
def test_encode_null(self):
val = Bytes(None)
assert val.encode() == b'\xff\xff'
def test_str(self):
val = Byte... | code_fim | hard | {
"lang": "python",
"repo": "AppDirectory/kafka-tools",
"path": "/tests/tools/protocol/types/test_bytes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AppDirectory/kafka-tools path: /tests/tools/protocol/types/test_bytes.py
import unittest
from kafka.tools.protocol.types.bytes import Bytes
class BytesTests(unittest.TestCase):
def test_from_string(self):
val = Bytes.from_string("87349DBC")
assert val.value() == b'\x87\x34\... | code_fim | hard | {
"lang": "python",
"repo": "AppDirectory/kafka-tools",
"path": "/tests/tools/protocol/types/test_bytes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def set_modifier_data(self, rating, tags):
self._rating = rating
self._tags = list(tags)
def into_c(self):
return (self.id, self.distance, self.modifier, self.poison, self.to)<|fim_prefix|># repo: oSoc17/lopeningent_backend path: /server/server/model/edge.py
class Edge:
... | code_fim | hard | {
"lang": "python",
"repo": "oSoc17/lopeningent_backend",
"path": "/server/server/model/edge.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oSoc17/lopeningent_backend path: /server/server/model/edge.py
class Edge:
def __init__(self, id, distance, modifier, poison, to):
# Data used in Rust struct
self.id = int(id)
self.distance = float(distance)
self.modifier = float(modifier)
self.poison =... | code_fim | hard | {
"lang": "python",
"repo": "oSoc17/lopeningent_backend",
"path": "/server/server/model/edge.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies = [
('AlphaChats', '0006_auto_20210430_1248'),
]
operations = [
migrations.AlterField(
model_name='chat',
name='person',
field=models.CharField(max_length=30),
),
]<|fim_prefi... | code_fim | easy | {
"lang": "python",
"repo": "chinmoykalita/alphachats",
"path": "/AlphaChats/migrations/0007_alter_chat_person.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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