text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: Alzpeta/oarepo-multilingual path: /oarepo_multilingual/mapping/mapping_handler.py
# -*- coding: utf-8 -*- #
"""Simple test of version import."""
def handler(type=None, resource=None, id=None, json_pointer=None,
<|fim_suffix|> default_template = app.config.get("ELASTICSEARCH_DEFAULT_LANGUAGE_TE... | code_fim | medium | {
"lang": "python",
"repo": "Alzpeta/oarepo-multilingual",
"path": "/oarepo_multilingual/mapping/mapping_handler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># n = int(input())
# naturalNumbers = list(number for number in range(1, n + 1))
# print(naturalNumbers)<|fim_prefix|># repo: anishLearnsToCode/python-workshop-6 path: /day_2/list_comrehension.py
"""
Generators
{ x^2 | x is a natural number}
{ x^2 | 1 <= x <= 8 }
{ 5x | x is an integr}
<|fim_middle|>(ge... | code_fim | medium | {
"lang": "python",
"repo": "anishLearnsToCode/python-workshop-6",
"path": "/day_2/list_comrehension.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anishLearnsToCode/python-workshop-6 path: /day_2/list_comrehension.py
"""
Generators
{ x^2 | x is a natural number}
{ x^2 | 1 <= x <= 8 }
{ 5x | x is an integr}
(generator(x) for x in iterable)
--> generators are iterable
"""
<|fim_suffix|># n = int(input())
# naturalNumbers = list(number for n... | code_fim | medium | {
"lang": "python",
"repo": "anishLearnsToCode/python-workshop-6",
"path": "/day_2/list_comrehension.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>n = int(input())
odd_even = list([number, 'even' if number % 2 == 0 else 'odd'] for number in range(0, n + 1))
print(odd_even)
# n = int(input())
# naturalNumbers = list(number for number in range(1, n + 1))
# print(naturalNumbers)<|fim_prefix|># repo: anishLearnsToCode/python-workshop-6 path: /day_2/li... | code_fim | medium | {
"lang": "python",
"repo": "anishLearnsToCode/python-workshop-6",
"path": "/day_2/list_comrehension.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danmoz/openduty path: /apps/policies/models.py
from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import ugettext_lazy as _
from django.utils.encoding import python_2_unicode_compatible
from django.contrib.auth.models import Group
from schedule.... | code_fim | hard | {
"lang": "python",
"repo": "danmoz/openduty",
"path": "/apps/policies/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class SchedulePolicyRule(models.Model):
"""
Schedule rule
"""
schedule_policy = models.ForeignKey('SchedulePolicy', related_name='rules', on_delete=models.CASCADE)
position = models.IntegerField()
user_id = models.ForeignKey(User, blank=True, null=True, on_delete=models.CASCADE, re... | code_fim | medium | {
"lang": "python",
"repo": "danmoz/openduty",
"path": "/apps/policies/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class SchedulePolicyRule(models.Model):
"""
Schedule rule
"""
schedule_policy = models.ForeignKey('SchedulePolicy', related_name='rules', on_delete=models.CASCADE)
position = models.IntegerField()
user_id = models.ForeignKey(User, blank=True, null=True, on_delete=models.CASCADE, r... | code_fim | hard | {
"lang": "python",
"repo": "danmoz/openduty",
"path": "/apps/policies/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class CalculateHash(JobHandler):
method = 'calculate_hash'
Options = CalculateHashOptions
def run(self, job: Job):
logging.debug(job.to_json())
step = job.get_current_step()
if step.options.path is not None:
path = step.options.path
else:
... | code_fim | medium | {
"lang": "python",
"repo": "eblade/images7",
"path": "/images7/job/calculate_hash.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eblade/images7 path: /images7/job/calculate_hash.py
#!/usr/bin/env python3
import os
import logging
import uuid
import datetime
from jsonobject import PropertySet, Property, register_schema
from images7.job import JobHandler, Job, StepStatus, register_job_handler
from images7.localfile import... | code_fim | medium | {
"lang": "python",
"repo": "eblade/images7",
"path": "/images7/job/calculate_hash.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pytorch/benchmark path: /userbenchmark/cpu/run_config.py
"""
Run PyTorch cpu benchmarking.
"""
import argparse
import os
import numpy
from typing import List, Dict, Optional
from pathlib import Path
from cpu_utils import add_path, REPO_PATH, validate, parse_str_to_list, list_metrics, get_outpu... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/benchmark",
"path": "/userbenchmark/cpu/run_config.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def dump_result_to_json(metrics, output_dir):
result = get_output_json(BM_NAME, metrics)
dump_output(BM_NAME, result, output_dir)
def run_config(config: TorchBenchModelConfig, metrics: List[str], dryrun: bool=False) -> Optional[TorchBenchModelMetrics]:
"""This function onl... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/benchmark",
"path": "/userbenchmark/cpu/run_config.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run(args: List[str], extra_args: List[str]):
device = validate(args.device, list_devices())
test = validate(args.test, list_tests())
model = validate(args.model, list_models())
metrics = validate(parse_str_to_list(args.metrics), list_metrics())
config = Torc... | code_fim | hard | {
"lang": "python",
"repo": "pytorch/benchmark",
"path": "/userbenchmark/cpu/run_config.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def body(self, out):
if self.form.get('flush'):
import app; reload(app)
import components; reload(components)
#out.write(self.login())
out.write(self.interfaces())
def login(self):
usercell = ['User name: ', input(type='text', name='username')]
... | code_fim | hard | {
"lang": "python",
"repo": "ankitadhandha/wedgechanges",
"path": "/flamenco-1.0/python/Main.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ankitadhandha/wedgechanges path: /flamenco-1.0/python/Main.py
# Copyright (c) 2004-2006 The Regents of the University of California.
from Page import Page
from app import users, tasks
from html import *
def findorcreate(store, name):
if name in store:
return store.index(name)
el... | code_fim | hard | {
"lang": "python",
"repo": "ankitadhandha/wedgechanges",
"path": "/flamenco-1.0/python/Main.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return 'name="robots" content="noindex,nofollow"'
def title(self):
return 'Welcome to the Longitudinal Browser study'
def body(self, out):
if self.form.get('flush'):
import app; reload(app)
import components; reload(components)
#out.write(s... | code_fim | hard | {
"lang": "python",
"repo": "ankitadhandha/wedgechanges",
"path": "/flamenco-1.0/python/Main.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>9)
self.spline_wl.setFont(font)
self.spline_wl.setMinimum(0.1)
self.spline_wl.setMaximum(2.0)
self.spline_wl.setSingleStep(0.1)
self.spline_wl.setProperty("value", 0.5)
self.spline_wl.setObjectName("spline_wl")
self.gridLayout.addWidget(self.spline_w... | code_fim | hard | {
"lang": "python",
"repo": "3fon3fonov/exostriker",
"path": "/exostriker/lib/tdt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 3fon3fonov/exostriker path: /exostriker/lib/tdt.py
on(icon)
Detrend.setLocale(QtCore.QLocale(QtCore.QLocale.English, QtCore.QLocale.UnitedKingdom))
self.gridLayout_2 = QtWidgets.QGridLayout(Detrend)
self.gridLayout_2.setObjectName("gridLayout_2")
self.gridLayout = ... | code_fim | hard | {
"lang": "python",
"repo": "3fon3fonov/exostriker",
"path": "/exostriker/lib/tdt.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.spline_wl.setMinimum(0.1)
self.spline_wl.setMaximum(2.0)
self.spline_wl.setSingleStep(0.1)
self.spline_wl.setProperty("value", 0.5)
self.spline_wl.setObjectName("spline_wl")
self.gridLayout.addWidget(self.spline_wl, 5, 3, 1, 1)
self.radio_GPs = QtW... | code_fim | hard | {
"lang": "python",
"repo": "3fon3fonov/exostriker",
"path": "/exostriker/lib/tdt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LYZhelloworld/Leetcode path: /palindrome-linked-list/solution.py
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def isPalindrome(self, head):
<|fim_suffix|> last = slow.next
... | code_fim | hard | {
"lang": "python",
"repo": "LYZhelloworld/Leetcode",
"path": "/palindrome-linked-list/solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Inspired by: https://leetcode.com/problems/palindrome-linked-list/discuss/160547/Java-Solution-beat-99
if not head or not head.next:
return True
fast = slow = head
while fast.next and fast.next.next:
slow, fast = slow.next, fast.next.next
last... | code_fim | medium | {
"lang": "python",
"repo": "LYZhelloworld/Leetcode",
"path": "/palindrome-linked-list/solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not node.next:
return node
prevNode, temp = self.reverse(node.next), node.next
temp.next = node
node.next = None
return prevNode<|fim_prefix|># repo: LYZhelloworld/Leetcode path: /palindrome-linked-list/solution.py
# Definition for singly-linked list... | code_fim | hard | {
"lang": "python",
"repo": "LYZhelloworld/Leetcode",
"path": "/palindrome-linked-list/solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> time = []
for din in range(len(ds_taux)):
ctaux = ds_taux[din]
#ctime = datetime.datetime.strptime(ctaux[taux_var].valid_time,'%Y%m%d_%H%M%S')
ctime = datetime.datetime.strptime(str(ctaux['time'][0].values)[0:10],'%Y-%m-%d')
time.append(ctime.strftime('%Y-%m-%d'))... | code_fim | hard | {
"lang": "python",
"repo": "dtcenter/METplus",
"path": "/parm/use_cases/model_applications/s2s_mjo/UserScript_obsCFSR_obsOnly_MJO_ENSO/mjo_enso_driver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Read in the weights of the filters
filtx1,filtx2,filty1,filty2 = read_filters(filtx1fil,filtx2fil,filtx2fil,filty2fil)
# Get Number of Obs per day
spd = os.environ.get('OBS_PER_DAY',1)
# Check for an output plot directory
oplot_dir = os.environ.get('PLOT_OUTPUT_DIR','')
if n... | code_fim | hard | {
"lang": "python",
"repo": "dtcenter/METplus",
"path": "/parm/use_cases/model_applications/s2s_mjo/UserScript_obsCFSR_obsOnly_MJO_ENSO/mjo_enso_driver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dtcenter/METplus path: /parm/use_cases/model_applications/s2s_mjo/UserScript_obsCFSR_obsOnly_MJO_ENSO/mjo_enso_driver.py
#!/usr/bin/env python3
import xarray as xr
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import datetime
import warnings
import metcalcpy.c... | code_fim | hard | {
"lang": "python",
"repo": "dtcenter/METplus",
"path": "/parm/use_cases/model_applications/s2s_mjo/UserScript_obsCFSR_obsOnly_MJO_ENSO/mjo_enso_driver.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> {
'win': {
'src/third_party/python_26': '/trunk/tools/third_party/python_26@66685',
}
}<|fim_prefix|># repo: cha63506/chromium-44 path: /chrome/test/functional.DEPS/DEPS
deps = {
'src/chrome/test/data': '/trunk/src/chrome/test/data',
'src/chrome/test/pyautolib': '/trunk/src/chrome/test/pya... | code_fim | medium | {
"lang": "python",
"repo": "cha63506/chromium-44",
"path": "/chrome/test/functional.DEPS/DEPS",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cha63506/chromium-44 path: /chrome/test/functional.DEPS/DEPS
deps = {
'src/chrome/test/data': '/trunk/src/chrome/test/data',
'src/chrome/test/pyautoli<|fim_suffix|>/functional',
'src/third_party/simplejson': '/trunk/src/third_party/simplejson',
}
deps_os = {
'win': {
'src/third_par... | code_fim | medium | {
"lang": "python",
"repo": "cha63506/chromium-44",
"path": "/chrome/test/functional.DEPS/DEPS",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>/functional',
'src/third_party/simplejson': '/trunk/src/third_party/simplejson',
}
deps_os = {
'win': {
'src/third_party/python_26': '/trunk/tools/third_party/python_26@66685',
}
}<|fim_prefix|># repo: cha63506/chromium-44 path: /chrome/test/functional.DEPS/DEPS
deps = {
'src/chrome/test/d... | code_fim | medium | {
"lang": "python",
"repo": "cha63506/chromium-44",
"path": "/chrome/test/functional.DEPS/DEPS",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joorgej/tytus path: /parser/fase2/team28/controllers/symbol_table.py
from utils.decorators import singleton
from models.symbol import Symbol
@singleton
class SymbolTable(object):
def __init__(self):
self._idSymbol = 0
self._symbols = []
self._useDatabase = None
<|fi... | code_fim | hard | {
"lang": "python",
"repo": "joorgej/tytus",
"path": "/parser/fase2/team28/controllers/symbol_table.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._symbols.append(Symbol(self._idSymbol, name, value, dataType, environment,
references, line, column))
def delete(self, obj):
for symbol in self._symbols:
if symbol.name is obj:
self._symbols.remove(symbol)<|fim_prefi... | code_fim | medium | {
"lang": "python",
"repo": "joorgej/tytus",
"path": "/parser/fase2/team28/controllers/symbol_table.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> blob_reader = blobstore.BlobReader(blob_info.key())
blob_iterator = BlobIterator(blob_reader)
reader = csv.reader(blob_iterator)
count = 0
for row in reader:
count += 1
if count != 1:
logging.info(len(fields))
logging.info(len(row))
c... | code_fim | hard | {
"lang": "python",
"repo": "DuaneNClark/crisiscleanup",
"path": "/sandy-disaster-recovery/upload_handler.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not self.buffer or len(self.lines) == self.line_num + 1:
self.buffer = self.blob_reader.read(1048576) # 1MB buffer
self.lines = self.buffer.splitlines()
self.line_num = 0
# Handle special case where our block just happens to end on a new line
... | code_fim | hard | {
"lang": "python",
"repo": "DuaneNClark/crisiscleanup",
"path": "/sandy-disaster-recovery/upload_handler.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DuaneNClark/crisiscleanup path: /sandy-disaster-recovery/upload_handler.py
import csv
import webapp2
from google.appengine.ext import blobstore
from google.appengine.ext.webapp import blobstore_handlers
from google.appengine.ext import db
import site_db
import event_db
from datetime import dateti... | code_fim | hard | {
"lang": "python",
"repo": "DuaneNClark/crisiscleanup",
"path": "/sandy-disaster-recovery/upload_handler.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ankur-gupta/flicker path: /flicker/tests/test_from_columns.py
# Copyright 2020 Flicker Contributors
#
# 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
#
# ... | code_fim | hard | {
"lang": "python",
"repo": "ankur-gupta/flicker",
"path": "/flicker/tests/test_from_columns.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> df = FlickerDataFrame.from_columns(spark, columns, names)
assert df.shape == (3, 2)
assert list(df.names) == list(names)
for i, name in enumerate(df.names):
column = df[[name]].to_pandas()[name].to_numpy()
expected_column = np.array(columns[i])
assert np.all(column... | code_fim | hard | {
"lang": "python",
"repo": "ankur-gupta/flicker",
"path": "/flicker/tests/test_from_columns.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SherbazHashmi/HackathonServer path: /arcpyenv/arcgispro-py3-clone/Lib/site-packages/arcgis/features/__init__.py
"""
The arcgis.features module contains types and functions for working with features and feature layers in the GIS.
Entities located in space with a geometrical representation (suc... | code_fim | hard | {
"lang": "python",
"repo": "SherbazHashmi/HackathonServer",
"path": "/arcpyenv/arcgispro-py3-clone/Lib/site-packages/arcgis/features/__init__.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__ = ['Feature', 'FeatureSet',
'FeatureCollection', 'FeatureLayer',
'Table', 'FeatureLayerCollection']
try:
from .geo import GeoAccessor, GeoSeriesAccessor
__all__.extend(['GeoAccessor', 'GeoSeriesAccessor'])
except ImportError:
pass<|fim_prefix|># repo: Sherb... | code_fim | hard | {
"lang": "python",
"repo": "SherbazHashmi/HackathonServer",
"path": "/arcpyenv/arcgispro-py3-clone/Lib/site-packages/arcgis/features/__init__.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Optional C extension module for speeding up Genshi
# Not activated by default on:
# - PyPy (where it harms performance)
_speedup_enable_default = 0 if is_pypy else 1
try:
_speedup_enabled = int(os.getenv('GENSHI_BUILD_SPEEDUP', _speedup_enable_default))
except ValueError:
import warnings
war... | code_fim | hard | {
"lang": "python",
"repo": "edgewall/genshi",
"path": "/setup.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: edgewall/genshi path: /setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2006-2010 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also av... | code_fim | hard | {
"lang": "python",
"repo": "edgewall/genshi",
"path": "/setup.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def build_extension(self, ext):
try:
build_ext.build_extension(self, ext)
global _speedup_available
_speedup_available = True
except CCompilerError:
_etype, e, _tb = sys.exc_info()
self._unavailable(e)
def _unavailable(se... | code_fim | hard | {
"lang": "python",
"repo": "edgewall/genshi",
"path": "/setup.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>s=10, max_digits=12, null=True)),
('dv3_ns1', models.DecimalField(decimal_places=10, max_digits=12, null=True)),
('dv4_ns1', models.DecimalField(decimal_places=10, max_digits=12, null=True)),
('jev_ns1', models.DecimalField(decimal_places=10, max_digits=12, ... | code_fim | hard | {
"lang": "python",
"repo": "tmaunier/sboucru",
"path": "/sboapp/migrations/0003_auto_20180504_0828.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>n.PROTECT, primary_key=True, serialize=False, to='sboapp.Elisa')),
('sample_absorbance', models.DecimalField(decimal_places=3, max_digits=5, null=True)),
('negative_absorbance', models.DecimalField(decimal_places=3, max_digits=5, null=True)),
('positive_abso... | code_fim | hard | {
"lang": "python",
"repo": "tmaunier/sboucru",
"path": "/sboapp/migrations/0003_auto_20180504_0828.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tmaunier/sboucru path: /sboapp/migrations/0003_auto_20180504_0828.py
# Generated by Django 2.0.3 on 2018-05-04 08:28
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('sboapp', '0002_auto_20180504_070... | code_fim | hard | {
"lang": "python",
"repo": "tmaunier/sboucru",
"path": "/sboapp/migrations/0003_auto_20180504_0828.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Turn off media player."""
self._media_title = None
self._state = self._player.turn_off()
def turn_on(self) -> None:
"""Turn off media player."""
self._state = self._player.turn_on()
def media_play(self) -> None:
"""Play media player."""
... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/dunehd/media_player.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /homeassistant/components/dunehd/media_player.py
"""Dune HD implementation of the media player."""
from __future__ import annotations
from typing import Any, Final
from pdunehd import DuneHDPlayer
from homeassistant.components.media_player import (
MediaPlayerEnti... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/dunehd/media_player.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Return the volume level of the media player (0..1)."""
return int(self._state.get("playback_volume", 0)) / 100
@property
def is_volume_muted(self) -> bool:
"""Return a boolean if volume is currently muted."""
return int(self._state.get("playback_mute", 0)) == 1
... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/dunehd/media_player.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shreyanikkam/Analysis-of-Consumer-Complaints-Dataset-Using-FoundationDB path: /bulk.py
import csv
import sys
csv.field_size_limit(sys.maxsize)
try:
risk = open('Consumer_Complaints.csv', 'r').read() #find the file
<|fim_suffix|> data = []
for row in reader:
#print... | code_fim | hard | {
"lang": "python",
"repo": "shreyanikkam/Analysis-of-Consumer-Complaints-Dataset-Using-FoundationDB",
"path": "/bulk.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = []
for row in reader:
#print(', '.join(row)
print row[3]
for col in (1,18):
data.append(row)
data.append(col)
for item in data:
print(item) #print the rows and columns<|fim_prefix|># repo: shrey... | code_fim | hard | {
"lang": "python",
"repo": "shreyanikkam/Analysis-of-Consumer-Complaints-Dataset-Using-FoundationDB",
"path": "/bulk.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if parent is None:
parent = self.root
if isinstance(state_value, str):
state_node = parent.states.get(state_value, None)
if state_node is None:
raise ValueError(f"State node {state_value} is missing")
return [state_node]
... | code_fim | hard | {
"lang": "python",
"repo": "statelyai/xstate-python",
"path": "/xstate/machine.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if state_node is None:
raise ValueError(f"State node {state_value} is missing")
return [state_node]
configuration = []
for key in state_value.keys():
state_node = parent.states.get(key)
configuration.append(state_node)
... | code_fim | hard | {
"lang": "python",
"repo": "statelyai/xstate-python",
"path": "/xstate/machine.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: statelyai/xstate-python path: /xstate/machine.py
from typing import Dict, List
from xstate.algorithm import (
enter_states,
get_configuration_from_state,
macrostep,
main_event_loop,
)
from xstate.event import Event
from xstate.state import State
from xstate.state_node import Stat... | code_fim | hard | {
"lang": "python",
"repo": "statelyai/xstate-python",
"path": "/xstate/machine.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> image = Image.open(os.path.join(root_path, img_name))
im = np.array(image)
#设定高斯函数的偏移
means = 0
#设定高斯函数的标准差
sigma = 25
#r通道
r = im[:,:,0].flatten()
#g通道
g = im[:,:,1].flatten()
#b通道
b = im[:,:,2].flatten()
#计算新的像素值
for i in range(i... | code_fim | hard | {
"lang": "python",
"repo": "swordzxz/INSRNet",
"path": "/codes/data/data_augmention.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: swordzxz/INSRNet path: /codes/data/data_augmention.py
import skimage
import io,os
import matplotlib.pyplot as plt
from PIL import Image,ImageEnhance,ImageChops
import cv2
import numpy as np
import random
#root_path为图像根目录，img_name为图像名字
def move(root_path,img_name,off): #平移，平移尺度为off
... | code_fim | hard | {
"lang": "python",
"repo": "swordzxz/INSRNet",
"path": "/codes/data/data_augmention.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> im[:,:,1] = g.reshape([im.shape[0],im.shape[1]])
im[:,:,2] = b.reshape([im.shape[0],im.shape[1]])
gaussian_image = gaussian_image = Image.fromarray(np.uint8(im))
return gaussian_image
def randomColor(root_path, img_name): #随机颜色
"""
对图像进行颜色抖动
:param image: PIL的图像image
... | code_fim | hard | {
"lang": "python",
"repo": "swordzxz/INSRNet",
"path": "/codes/data/data_augmention.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jun-harashima/msnc path: /tests/test_average_encoder.py
import unittest
from unittest.mock import patch
import torch
import torch.nn as nn
from msnc.encoder import AverageEncoder
class TestAverageEncoder(unittest.TestCase):
def assertTorchEqual(self, x, y):
self.assertTrue(torch.eq... | code_fim | hard | {
"lang": "python",
"repo": "jun-harashima/msnc",
"path": "/tests/test_average_encoder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with patch.object(self.model.embedding, 'weight',
self.embedding_weight):
X5 = self.model._embed(self.X4)
self.assertTorchEqual(X5, self.X5)
def test_average(self):
print(self.model(self.X1))
ground_truth = []
for data... | code_fim | hard | {
"lang": "python",
"repo": "jun-harashima/msnc",
"path": "/tests/test_average_encoder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for x in xrange(-10, 10):
for y in xrange(-10, 10):
p = mth.square(x, y)
self.failUnless(p == x ** 2 + y ** 2 + 1, 'int test failed.')
def test_floats(self):
for x in xrange(-10, 10):
for y in xrange(-10, 10):
x *... | code_fim | medium | {
"lang": "python",
"repo": "incidunt/python-labs",
"path": "/learning/test/mth_ut.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_ints(self):
for x in xrange(-10, 10):
for y in xrange(-10, 10):
p = mth.square(x, y)
self.failUnless(p == x ** 2 + y ** 2 + 1, 'int test failed.')
def test_floats(self):
for x in xrange(-10, 10):
for y in xrange(-10,... | code_fim | medium | {
"lang": "python",
"repo": "incidunt/python-labs",
"path": "/learning/test/mth_ut.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: incidunt/python-labs path: /learning/test/mth_ut.py
# -*- coding: UTF-8 -*-
__author__ = 'mcxiaoke'
import unittest
import mth
<|fim_suffix|> def test_ints(self):
for x in xrange(-10, 10):
for y in xrange(-10, 10):
p = mth.square(x, y)
sel... | code_fim | medium | {
"lang": "python",
"repo": "incidunt/python-labs",
"path": "/learning/test/mth_ut.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: landlab/landlab path: /tests/components/stream_power/test_smooth_thresh.py
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
from landlab import RasterModelGrid
from landlab.components import FlowAccumulator, StreamPowerSmoothThresholdEroder as Spst
def test_... | code_fim | hard | {
"lang": "python",
"repo": "landlab/landlab",
"path": "/tests/components/stream_power/test_smooth_thresh.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> predicted_slopes = (U / (K * (actual_areas**m))) ** (1.0 / n)
assert_array_almost_equal(actual_slopes, predicted_slopes)
def test_with_thresh():
K = 0.001
U = 0.01
m = 0.5
n = 1.0
threshold = 1.0
dt = 1000
mg = RasterModelGrid((30, 3), xy_spacing=100.0)
mg.set_c... | code_fim | hard | {
"lang": "python",
"repo": "landlab/landlab",
"path": "/tests/components/stream_power/test_smooth_thresh.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("NEW GAME")
board = Board()
view = Console()
is_player1 = True
view.display_board(board)
while not board.is_finished():
if is_player1:
move = self.p1.get_player_input(board)
else:
move = self.p2.... | code_fim | hard | {
"lang": "python",
"repo": "AlanCLo/play_ml",
"path": "/aigames/aigames/games/ttt/game.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlanCLo/play_ml path: /aigames/aigames/games/ttt/game.py
from .board import Board
from .player import PlayerFactory
from .console import Console
from .minmaxplayer import MinMaxPlayer
<|fim_suffix|> board = Board()
view = Console()
is_player1 = True
view.display_b... | code_fim | hard | {
"lang": "python",
"repo": "AlanCLo/play_ml",
"path": "/aigames/aigames/games/ttt/game.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return PlayerFactory().player_type_list()
def get_default_ai_player():
return MinMaxPlayer.__name__
def __init__(self, p1, p2, save, save_file):
self.p1 = PlayerFactory().CreatePlayer(p1, True)
self.p2 = PlayerFactory().CreatePlayer(p2, False)
self.save = ... | code_fim | medium | {
"lang": "python",
"repo": "AlanCLo/play_ml",
"path": "/aigames/aigames/games/ttt/game.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: r2rahul/thresholdOut-explorations path: /thresholdOut_mydemo_paramTuning.py
import numpy as np
import pandas as pd
from scipy.stats import zscore
from sklearn.linear_model import LogisticRegression, LassoLars
from tqdm import tqdm
import matplotlib.pyplot as plt
import seaborn as sb
def create... | code_fim | hard | {
"lang": "python",
"repo": "r2rahul/thresholdOut-explorations",
"path": "/thresholdOut_mydemo_paramTuning.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def fitModels_paramTuning(n, d, grid_size, no_signal=False, tho_scale=0.1, is_classification=True):
dataset = createDataset(n, d=d, d_inf=10,
is_classification=True,
no_signal=no_signal)
best_perf_std = [-np.inf, -np.inf, -np.inf]
... | code_fim | hard | {
"lang": "python",
"repo": "r2rahul/thresholdOut-explorations",
"path": "/thresholdOut_mydemo_paramTuning.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> highdig1 = -1
pos1 = -1
ind1,ind2 = beg1,beg2
while N1-ind1+N2-beg2 >= k and ind1 < N1:
if nums1[ind1] > highdig1:
highdig1 = nums1[ind1]
pos1 = ind1
ind1 += 1
highdig2 = -1
pos2 = -1
while N1-b... | code_fim | hard | {
"lang": "python",
"repo": "yingcuhk/LeetCode",
"path": "/Algorithms/#321 Create Maximum Number/PythonCode.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yingcuhk/LeetCode path: /Algorithms/#321 Create Maximum Number/PythonCode.py
"""
Given two arrays of length m and n with digits 0-9 representing two numbers. Create the maximum number of length k <= m + n from digits of the two. The relative order of the digits from the same array must be preser... | code_fim | hard | {
"lang": "python",
"repo": "yingcuhk/LeetCode",
"path": "/Algorithms/#321 Create Maximum Number/PythonCode.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if k == 0:
return []
highdig1 = -1
pos1 = -1
ind1,ind2 = beg1,beg2
while N1-ind1+N2-beg2 >= k and ind1 < N1:
if nums1[ind1] > highdig1:
highdig1 = nums1[ind1]
pos1 = ind1
ind1 += 1
... | code_fim | hard | {
"lang": "python",
"repo": "yingcuhk/LeetCode",
"path": "/Algorithms/#321 Create Maximum Number/PythonCode.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pepkit/pephub path: /pephub/routers/eido/eido.py
import eido
import requests
import tempfile
import peppy
import shutil
import yaml
from fastapi import UploadFile, Form, APIRouter
from starlette.requests import Request
from starlette.responses import JSONResponse
from typing import List, Tuple
f... | code_fim | hard | {
"lang": "python",
"repo": "pepkit/pephub",
"path": "/pephub/routers/eido/eido.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # save any other files the user might have supplied
if other_files is not None:
for upload_file in other_files:
# open new file inside the tmpdir
with open(f"{dirpath}/{upload_file.filename}", "wb") as local_tmpf:
... | code_fim | hard | {
"lang": "python",
"repo": "pepkit/pephub",
"path": "/pephub/routers/eido/eido.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # create temp dir that gets deleted when we're done
with tempfile.TemporaryDirectory() as dirpath:
# save init file
with open(f"{dirpath}/{init_file.filename}", "wb") as cfg_fh:
shutil.copyfileobj(init_file.file, cfg_fh)
# save any other... | code_fim | hard | {
"lang": "python",
"repo": "pepkit/pephub",
"path": "/pephub/routers/eido/eido.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tensorflow/model-analysis path: /tensorflow_model_analysis/metrics/calibration.py
# Copyright 2019 Google LLC
#
# 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
#
# ht... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/model-analysis",
"path": "/tensorflow_model_analysis/metrics/calibration.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _calibration(
name: str = CALIBRATION_NAME,
eval_config: Optional[config_pb2.EvalConfig] = None,
model_name: str = '',
output_name: str = '',
sub_key: Optional[metric_types.SubKey] = None,
aggregation_type: Optional[metric_types.AggregationType] = None,
class_weights: Opti... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/model-analysis",
"path": "/tensorflow_model_analysis/metrics/calibration.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not hasattr(cls, '_instance'):
org = super(singleton, cls)
cls._instance = org.__new__(cls, *args, **kw)
return cls._instance
# test code
if __name__ == '__main__':
class MyClass(singleton):
def __init__(self, name):
self.name = name
... | code_fim | easy | {
"lang": "python",
"repo": "pusidun/cicn2-py",
"path": "/02_Singleton/singleton_01.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pusidun/cicn2-py path: /02_Singleton/singleton_01.py
# /usr/bin/env python3
# -*- coding: utf-8 -*-
class singleton(object):
<|fim_suffix|># test code
if __name__ == '__main__':
class MyClass(singleton):
def __init__(self, name):
self.name = name
a = MyClass('a')
... | code_fim | hard | {
"lang": "python",
"repo": "pusidun/cicn2-py",
"path": "/02_Singleton/singleton_01.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> a = MyClass('a')
b = MyClass('b')
print(a.name)
print(b.name)<|fim_prefix|># repo: pusidun/cicn2-py path: /02_Singleton/singleton_01.py
# /usr/bin/env python3
# -*- coding: utf-8 -*-
class singleton(object):
def __new__(cls, *args, **kw):
if not hasattr(cls, '_instance'):
... | code_fim | medium | {
"lang": "python",
"repo": "pusidun/cicn2-py",
"path": "/02_Singleton/singleton_01.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if options.get("loop"):
while True:
self.check_trustlines()
time.sleep(60)
else:
self.check_trustlines()
def check_trustlines(self):
"""
Create Stellar transaction for deposit transactions marked as pending trust,... | code_fim | hard | {
"lang": "python",
"repo": "vcarl/django-polaris",
"path": "/polaris/polaris/management/commands/check_trustlines.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vcarl/django-polaris path: /polaris/polaris/management/commands/check_trustlines.py
import time
import logging
from polaris import settings
from django.core.management.base import BaseCommand, CommandError
from django.core.management import call_command
from stellar_sdk.exceptions import BaseHor... | code_fim | hard | {
"lang": "python",
"repo": "vcarl/django-polaris",
"path": "/polaris/polaris/management/commands/check_trustlines.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # pixel weighting
self.cbxPixelWeighting = QComboBox()
self.cbxPixelWeighting.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.cbxPixelWeighting.addItems([str(pw.name) for pw in common.PixelWeighting])
boxPixelWeighting = QHBoxLayout()
boxPixelWeighting.... | code_fim | hard | {
"lang": "python",
"repo": "spectralskylight/spectralskyviewer",
"path": "/dialog_export.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: spectralskylight/spectralskyviewer path: /dialog_export.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
# ====================================================================
# @author: Joe Del Rocco
# @since: 11/16/2017
# @summary: Dialog for exporting sky data.
# ==================================... | code_fim | hard | {
"lang": "python",
"repo": "spectralskylight/spectralskyviewer",
"path": "/dialog_export.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @_is_available
def body_info(self):
return self._task_mgr.get_body_info(self._tid_list)
@_is_available
def pause(self):
self._task_mgr.pause(self._tid_list)
@_is_available
def is_finished(self):
return self._task_mgr.is_finished(self._tid_list)
def wa... | code_fim | hard | {
"lang": "python",
"repo": "625781186/Nbdler",
"path": "/nbdler/manager/struct/task.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 625781186/Nbdler path: /nbdler/manager/struct/task.py
# -*- coding: UTF-8 -*-
from ...error import SubprocessUnavailableError
from functools import wraps
from threading import Event
from time import time
class TasksManagerForWorkers:
""" 工作线程维护的一个任务管理器。"""
__slots__ = '_id_tasks'
d... | code_fim | hard | {
"lang": "python",
"repo": "625781186/Nbdler",
"path": "/nbdler/manager/struct/task.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._task_mgr.increment_done(self._tid_list, each)
@_is_available
def realtime_info(self, each=False):
return self._task_mgr.get_realtime_info(self._tid_list, each)
@_is_available
def body_info(self):
return self._task_mgr.get_body_info(self._tid_list)
... | code_fim | hard | {
"lang": "python",
"repo": "625781186/Nbdler",
"path": "/nbdler/manager/struct/task.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Summerotter/dawnofworlds path: /app/game/views.py
active_world=world,
form=form,
players=players,
avatars=avatars,
cost = point_costs[world.age]['Create Avatar'],
... | code_fim | hard | {
"lang": "python",
"repo": "Summerotter/dawnofworlds",
"path": "/app/game/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Summerotter/dawnofworlds path: /app/game/views.py
'Sugar Glider', 'Possum', 'Ram', 'Dalmatian', 'Goat', 'Stallion', 'Horse', 'Sheep', 'Pig', 'Mouse', 'GuineaPig', 'Elephant', 'Gazelle', 'Gazebo', 'Boar', 'Deer', 'Caribou', 'Terrier', 'Boxer', 'Corgi', 'Golden Retriever', 'Reindeer', 'Great Dane'... | code_fim | hard | {
"lang": "python",
"repo": "Summerotter/dawnofworlds",
"path": "/app/game/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def single_location(location_id):
world_check()
world = World.query.get(session['active_world'])
location = WorldMap.query.get(location_id)
points = current_user.return_points_obj(world.id)
terrain_form = ChangeTerrain(prefix="terrain")
spawn_race = SpawnRace(prefix="spawnrace")
... | code_fim | hard | {
"lang": "python",
"repo": "Summerotter/dawnofworlds",
"path": "/app/game/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tatubola/xpto path: /ipaxi/ixbr_api/core/templatetags/core_filters.py
from django import template
<|fim_suffix|>
@register.filter(name='lookup')
def lookup(value, arg):
return value[arg]
#
#
# @register.filter(name='lookupIPv6')
# def lookupIPv6(value, arg):
# return value[arg]<|fim_midd... | code_fim | easy | {
"lang": "python",
"repo": "tatubola/xpto",
"path": "/ipaxi/ixbr_api/core/templatetags/core_filters.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return value[arg]
#
#
# @register.filter(name='lookupIPv6')
# def lookupIPv6(value, arg):
# return value[arg]<|fim_prefix|># repo: tatubola/xpto path: /ipaxi/ixbr_api/core/templatetags/core_filters.py
from django import template
register = template.Library()
<|fim_middle|>
@register.filter(name... | code_fim | easy | {
"lang": "python",
"repo": "tatubola/xpto",
"path": "/ipaxi/ixbr_api/core/templatetags/core_filters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tune-andyp/android-play-billing path: /release/keygen.py
#!/usr/bin/env python
"""
This script will generate the example application keys
Example: Generate the keys
$ python keygen.py <filename>
"""
import json
import sys
if len(sys.argv) == 1:
# Print usage...
print "Usage: " + sys... | code_fim | easy | {
"lang": "python",
"repo": "tune-andyp/android-play-billing",
"path": "/release/keygen.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>package = data["package"]
key = package.encode('rot13').encode('base64')
print "Key Alias: SampleKey"
print "Key: " + key<|fim_prefix|># repo: tune-andyp/android-play-billing path: /release/keygen.py
#!/usr/bin/env python
"""
This script will generate the example application keys
<|fim_middle|>Example:... | code_fim | hard | {
"lang": "python",
"repo": "tune-andyp/android-play-billing",
"path": "/release/keygen.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open(sys.argv[1], 'r') as my_file:
data = json.load(my_file)
package = data["package"]
key = package.encode('rot13').encode('base64')
print "Key Alias: SampleKey"
print "Key: " + key<|fim_prefix|># repo: tune-andyp/android-play-billing path: /release/keygen.py
#!/usr/bin/env python
"""
This scrip... | code_fim | medium | {
"lang": "python",
"repo": "tune-andyp/android-play-billing",
"path": "/release/keygen.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: okn-yu/Gasyori100knock path: /Question_01_10/my_answers/answer1.py
import cv2
img = cv2.imread("imori.jpg")
#print(img.shape) # (128, 128, 3)
#print(img[0][0]) # [132 80 67] = (B, G ,R)
<|fim_suffix|># 一言メモ
# 各ピクセルの（x, y）座標に対して、RGBではなくてBGR毎に値を持っている
# b, g, rを個別にもとめてもよいが直接値を交換したほうがシンプルに実装できる<|f... | code_fim | hard | {
"lang": "python",
"repo": "okn-yu/Gasyori100knock",
"path": "/Question_01_10/my_answers/answer1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# 一言メモ
# 各ピクセルの（x, y）座標に対して、RGBではなくてBGR毎に値を持っている
# b, g, rを個別にもとめてもよいが直接値を交換したほうがシンプルに実装できる<|fim_prefix|># repo: okn-yu/Gasyori100knock path: /Question_01_10/my_answers/answer1.py
import cv2
img = cv2.imread("imori.jpg")
#print(img.shape)... | code_fim | medium | {
"lang": "python",
"repo": "okn-yu/Gasyori100knock",
"path": "/Question_01_10/my_answers/answer1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if importlib.util.find_spec("psutil"):
# psutil is optional and must only be imported if it is installed
import psutil
self.psutil = psutil
else:
self.psutil = None
def is_supported(self) -> bool:
return self.psutil is not None
... | code_fim | hard | {
"lang": "python",
"repo": "michaelyaakoby/pyctuator",
"path": "/pyctuator/health/diskspace_health_impl.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: michaelyaakoby/pyctuator path: /pyctuator/health/diskspace_health_impl.py
# pylint: disable=import-outside-toplevel
import importlib.util
from dataclasses import dataclass
from pyctuator.health.health_provider import HealthProvider, HealthDetails, HealthStatus, Status
<|fim_suffix|>
class Disk... | code_fim | hard | {
"lang": "python",
"repo": "michaelyaakoby/pyctuator",
"path": "/pyctuator/health/diskspace_health_impl.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sevazhidkov/greenland path: /maps/api/urls.py
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^question_set_list/', views.<|fim_suffix|>ile),
url(r'^map_area/', views.create_map_area),
url(r'^question_set/', views.create_question_set),
]<|fim_middle|>questi... | code_fim | hard | {
"lang": "python",
"repo": "sevazhidkov/greenland",
"path": "/maps/api/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ile),
url(r'^map_area/', views.create_map_area),
url(r'^question_set/', views.create_question_set),
]<|fim_prefix|># repo: sevazhidkov/greenland path: /maps/api/urls.py
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^question_set_list/', views.question_set_list),
... | code_fim | medium | {
"lang": "python",
"repo": "sevazhidkov/greenland",
"path": "/maps/api/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ascend/ModelZoo-PyTorch path: /PyTorch/built-in/nlp/Bert-CRF_for_PyTorch/examples/sentence_classfication/Tianchi_News_Classification/convert.py
# -*- coding: utf-8 -*-
# BSD 3-Clause License
#
# Copyright (c) 2017
# All rights reserved.
# Copyright 2022 Huawei Technologies Co., Ltd
#
# Redistribu... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/built-in/nlp/Bert-CRF_for_PyTorch/examples/sentence_classfication/Tianchi_News_Classification/convert.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>tf_path = 'E:/Github/天池新闻分类/top1/pre_models/bert_model.ckpt'
torch_state_dict = {}
mapping = {
'bert/embeddings/word_embeddings': 'bert.embeddings.word_embeddings.weight',
'bert/embeddings/token_type_embeddings': 'bert.embeddings.token_type_embeddings.weight',
'bert/embeddings/position_embedd... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/built-in/nlp/Bert-CRF_for_PyTorch/examples/sentence_classfication/Tianchi_News_Classification/convert.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(12):
prefix = 'bert/encoder/layer_%d/' % i
prefix_i = f'bert.encoder.layer.%d.' % i
mapping.update({
prefix + 'attention/self/query/kernel': prefix_i + 'attention.self.query.weight##T',
prefix + 'attention/self/query/bias': prefix_i + 'attention.self.query.bias',... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/built-in/nlp/Bert-CRF_for_PyTorch/examples/sentence_classfication/Tianchi_News_Classification/convert.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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