text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>
while True:
clock.tick(60)
for event in pygame.event.get():
if event.type == QUIT:
sys.exit()
elif event.type == KEYDOWN and event.key == K_ESCAPE:
break
BLOCKS.update()
BLOCKS.clear( screen, background )
BLOCKS.draw(screen)
pygame.display.flip()<|fim_prefix|># repo: iPatso/P... | code_fim | hard | {
"lang": "python",
"repo": "iPatso/PyGameProjs",
"path": "/PYex/Mario Shell Defense/test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HenriqueLR/movie-book path: /app/movies/forms.py
#encoding: utf-8
from django import forms
from core.models import Movies, ScheduledMovies
<|fim_suffix|>class ScheduledMoviesForm(forms.ModelForm):
'''
This class is responsible generator form ScheduledMoviesForm.
'''
class Meta:
... | code_fim | medium | {
"lang": "python",
"repo": "HenriqueLR/movie-book",
"path": "/app/movies/forms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
This class is responsible generator form MovieForm.
'''
class Meta:
model = Movies
class ScheduledMoviesForm(forms.ModelForm):
'''
This class is responsible generator form ScheduledMoviesForm.
'''
class Meta:
model = ScheduledMovies<|fim_prefix|># repo:... | code_fim | easy | {
"lang": "python",
"repo": "HenriqueLR/movie-book",
"path": "/app/movies/forms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Custom Driver for file based ExampleGen, e.g., ImportExampleGen."""
def get_input_processor(
self,
splits: Iterable[example_gen_pb2.Input.Split],
range_config: Optional[range_config_pb2.RangeConfig] = None,
input_base_uri: Optional[str] = None) -> input_processor.InputProce... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/tfx",
"path": "/tfx/components/example_gen/driver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tensorflow/tfx path: /tfx/components/example_gen/driver.py
# Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# htt... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/tfx",
"path": "/tfx/components/example_gen/driver.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = Tag
fields = ('name',)
class VideoSerializer(ModelSerializer):
href = HyperlinkedIdentityField(view_name='api_v2:videos-detail')
tags = TagSerializer(many=True, read_only=True)
user = serializers.SerializerMethodField()
filename = serializers.Seria... | code_fim | hard | {
"lang": "python",
"repo": "lotube/lotube",
"path": "/lotube/videos/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lotube/lotube path: /lotube/videos/serializers.py
import urllib
from annoying.functions import get_object_or_None
from django.db import transaction
from django.utils.safestring import mark_safe
from rest_framework import serializers
from rest_framework.serializers import SerializerMethodField, r... | code_fim | hard | {
"lang": "python",
"repo": "lotube/lotube",
"path": "/lotube/videos/serializers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return ContextUtils(self.context)\
.build_absolute_uri(reverse('api_v2:video-comments-list', [obj.id]))
def create(self, validated_data):
# logged in required
user = ContextUtils(self.context).logged_in_user()
# create video
video = Video(**validat... | code_fim | hard | {
"lang": "python",
"repo": "lotube/lotube",
"path": "/lotube/videos/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kwotsin/mimicry path: /torch_mimicry/nets/infomax_gan/infomax_gan_base.py
"""
Implementation of InfoMax-GAN base model.
"""
import torch
import torch.nn.functional as F
from torch_mimicry.nets.gan import gan
class InfoMaxGANBaseGenerator(gan.BaseGenerator):
r"""
ResNet backbone generat... | code_fim | hard | {
"lang": "python",
"repo": "kwotsin/mimicry",
"path": "/torch_mimicry/nets/infomax_gan/infomax_gan_base.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def project_features(self, local_feat, global_feat):
r"""
Projects local and global features.
"""
local_feat = self._project_local(
local_feat) # (N, C, H, W) --> (N, nrkhs, H, W)
global_feat = self._project_global(
global_feat) # (N, C... | code_fim | hard | {
"lang": "python",
"repo": "kwotsin/mimicry",
"path": "/torch_mimicry/nets/infomax_gan/infomax_gan_base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oasis-open/cti-python-stix2 path: /stix2/test/v21/test_parsing.py
from collections import OrderedDict
import pytest
from stix2 import DEFAULT_VERSION, exceptions, parsing, registration, registry
BUNDLE = {
"type": "bundle",
"id": "bundle--00000000-0000-4000-8000-000000000007",
"obj... | code_fim | hard | {
"lang": "python",
"repo": "oasis-open/cti-python-stix2",
"path": "/stix2/test/v21/test_parsing.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.xfail(reason="The default version is not 2.1", condition=DEFAULT_VERSION != "2.1")
def test_register_marking_with_no_version():
# Uses default version (2.1 in this case)
class NewMarking2:
_type = 'x-new-marking2'
_properties = OrderedDict()
registration._register... | code_fim | hard | {
"lang": "python",
"repo": "oasis-open/cti-python-stix2",
"path": "/stix2/test/v21/test_parsing.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> _type = 'x-new-marking1'
_properties = OrderedDict()
registration._register_marking(NewMarking1, version='2.1')
assert NewMarking1._type in registry.STIX2_OBJ_MAPS['2.1']['markings']
assert 'v21' in str(registry.STIX2_OBJ_MAPS['2.1']['markings'][NewMarking1._type])
@pytest.... | code_fim | hard | {
"lang": "python",
"repo": "oasis-open/cti-python-stix2",
"path": "/stix2/test/v21/test_parsing.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ayoob7/google-research path: /hmc_swindles/neutra.py
eapfrog_multiplier = integrators[integrator]
kinetic_energy_fn = fun_mcmc.make_gaussian_kinetic_energy_fn(1)
integrator_fn = lambda state: fun_mcmc.hamiltonian_integrator( # pylint: disable=g-long-lambda
state,
num_steps=num_... | code_fim | hard | {
"lang": "python",
"repo": "Ayoob7/google-research",
"path": "/hmc_swindles/neutra.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for chain_stats_vr_cv, vr_outputs_cv, cv_beta_val in vr_inputs:
vr_outputs_cv1 = GetVarianceReducedChain(fx_chain, fxcv_chain,
fxcv_mean, cv_beta_val)
if return_vr_chains:
vr_outputs_cv[name] = vr_outputs_cv1
... | code_fim | hard | {
"lang": "python",
"repo": "Ayoob7/google-research",
"path": "/hmc_swindles/neutra.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ayoob7/google-research path: /hmc_swindles/neutra.py
proposal_fn=proposal_fn,
log_uniform=log_uniform)
def trace_fn(state, extra):
x, xcv = tf.split(state.state_extra, 2, axis=0)
return (x, xcv, extra.log_accept_ratio, extra.is_accepted)
(_, (x_chain, xcv_chain, log_accep... | code_fim | hard | {
"lang": "python",
"repo": "Ayoob7/google-research",
"path": "/hmc_swindles/neutra.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Decorators
'pass_context', 'pass_obj', 'make_pass_decorator', 'command', 'group',
'argument', 'option', 'confirmation_option', 'password_option',
'version_option', 'help_option',
# Types
'ParamType', 'File', 'Path', 'Choice', 'IntRange', 'Tuple',
'DateTime', 'STRING', 'INT',... | code_fim | hard | {
"lang": "python",
"repo": "GoogleCloudPlatform/training-data-analyst",
"path": "/courses/machine_learning/deepdive2/end_to_end_ml/labs/serving/application/lib/click/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GoogleCloudPlatform/training-data-analyst path: /courses/machine_learning/deepdive2/end_to_end_ml/labs/serving/application/lib/click/__init__.py
# -*- coding: utf-8 -*-
"""
click
~~~~~
Click is a simple Python module inspired by the stdlib optparse to make
writing command line scripts fun. Unlik... | code_fim | hard | {
"lang": "python",
"repo": "GoogleCloudPlatform/training-data-analyst",
"path": "/courses/machine_learning/deepdive2/end_to_end_ml/labs/serving/application/lib/click/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Globals
from .globals import get_current_context
# Decorators
from .decorators import pass_context, pass_obj, make_pass_decorator, \
command, group, argument, option, confirmation_option, \
password_option, version_option, help_option
# Types
from .types import ParamType, File, Path, Choice,... | code_fim | hard | {
"lang": "python",
"repo": "GoogleCloudPlatform/training-data-analyst",
"path": "/courses/machine_learning/deepdive2/end_to_end_ml/labs/serving/application/lib/click/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ziang-Lu/Flask-Blog path: /post_service/post_service/utils.py
# -*- coding: utf-8 -*-
"""
Utility functions.
"""
import functools
from typing import Callable
from flask import request
from flask_marshmallow import Schema
from .models import Post
<|fim_suffix|> """
Pagination decorator... | code_fim | hard | {
"lang": "python",
"repo": "Ziang-Lu/Flask-Blog",
"path": "/post_service/post_service/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Populate the pagination metadata
pagination_meta = {
'page': page,
'pages': p.pages,
'total': p.total
}
return {
'status': 'success',
'data': {
'user_data'... | code_fim | hard | {
"lang": "python",
"repo": "Ziang-Lu/Flask-Blog",
"path": "/post_service/post_service/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @functools.wraps(f)
def wrapper(*args, **kwargs):
page = request.args.get('page', type=int, default=1)
per_page = min(
request.args.get('per_page', type=int, default=10), max_per_page
)
result = f(*args, **kwargs)
... | code_fim | hard | {
"lang": "python",
"repo": "Ziang-Lu/Flask-Blog",
"path": "/post_service/post_service/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_coordinates_straight_road(zarr_dataset: ChunkedDataset, cfg: dict) -> None:
# on a straight road `target_positions` should increase on x only
render_context = RenderContext(
np.asarray(cfg["raster_params"]["raster_size"]),
np.asarray(cfg["raster_params"]["pixel_size"]),
... | code_fim | hard | {
"lang": "python",
"repo": "KhushalB/l5kit",
"path": "/l5kit/l5kit/tests/sampling/displace_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> centroids.append(data["centroid"][:2])
centroids = np.stack(centroids)
# compute XY variances for preds and centroids
var_preds = np.var(preds, 0, ddof=1)
var_centroids = np.var(centroids, 0, ddof=1)
assert var_preds[1] / var_preds[0] < 0.001 # variance on Y is way lower tha... | code_fim | hard | {
"lang": "python",
"repo": "KhushalB/l5kit",
"path": "/l5kit/l5kit/tests/sampling/displace_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KhushalB/l5kit path: /l5kit/l5kit/tests/sampling/displace_test.py
import numpy as np
import pytest
from l5kit.data import ChunkedDataset
from l5kit.dataset import EgoDataset
from l5kit.geometry import compute_agent_pose, rotation33_as_yaw, transform_points
from l5kit.rasterization import RenderC... | code_fim | hard | {
"lang": "python",
"repo": "KhushalB/l5kit",
"path": "/l5kit/l5kit/tests/sampling/displace_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # image index
img_index = [40*a + b for i, a in enumerate(rA) for b in rI[i]]
# create sub-folders for subjects
Sfolder = path.join(folder, f'subject_{S}')
imfolder = path.join(Sfolder, imgType_i)
if not path.exists(Sfolder):
... | code_fim | hard | {
"lang": "python",
"repo": "heysoos/cppn-tensorflow",
"path": "/generate_samples_for_subjects.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> imgs_paths, imgs_params = load_img_paths_and_params(save_folder, img_folder)
# sort so similar params are together, with iteration number as well
sort_keys = filter_keys[:]
sort_keys.append('iteration')
sort_list = [tuple((img_params[k]) for k in sort_keys) for img_params in imgs_par... | code_fim | hard | {
"lang": "python",
"repo": "heysoos/cppn-tensorflow",
"path": "/generate_samples_for_subjects.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heysoos/cppn-tensorflow path: /generate_samples_for_subjects.py
import numpy as np
from os import path, makedirs, listdir
from operator import itemgetter
from sampler import loadJSON
import shutil
from PIL import Image
import imageio
from tqdm import tqdm
def load_img_paths_and_params(dir, img_f... | code_fim | hard | {
"lang": "python",
"repo": "heysoos/cppn-tensorflow",
"path": "/generate_samples_for_subjects.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rfam/rfam-website path: /PfamScripts/adda/lib/AddaSegment.py
min_distance_border = int(float(self.min_distance_border) / self.resolution)
if self.mContinueAt == None:
self.mOutfile.write( "\t".join( self.mHeaders) + "\n" )
self.mOutfile.flush()
#-... | code_fim | hard | {
"lang": "python",
"repo": "Rfam/rfam-website",
"path": "/PfamScripts/adda/lib/AddaSegment.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ranges:
lranges, rranges = self.getCoveringRanges( lranges, rranges, ranges )
else:
continue
# change left child
ntree[leftchild][0]= (None, current_node, level + 1, lranges)
... | code_fim | hard | {
"lang": "python",
"repo": "Rfam/rfam-website",
"path": "/PfamScripts/adda/lib/AddaSegment.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ## if previous segment is too small to be output: add to current type
if (last_right - last_left) < self.min_segment_size:
last_right = this_right
last_type = this_type
# print "d"
continue
## otherwis... | code_fim | hard | {
"lang": "python",
"repo": "Rfam/rfam-website",
"path": "/PfamScripts/adda/lib/AddaSegment.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JSchneidler/nand2tetris path: /10_11_compiler/jack_compiler/tokenizer.py
import logging
from enum import Enum
from html import escape
from pathlib import Path
SYMBOLS = [
"{",
"}",
"(",
")",
"[",
"]",
".",
",",
";",
"+",
"-",
"*",
"/",
"&",... | code_fim | hard | {
"lang": "python",
"repo": "JSchneidler/nand2tetris",
"path": "/10_11_compiler/jack_compiler/tokenizer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Check for keyword
found = False
for keyword in KEYWORDS:
if line.startswith(keyword):
found = True
tokens.append(
Token(TokenType.KEYWORD, keyword, lineNumber, ... | code_fim | hard | {
"lang": "python",
"repo": "JSchneidler/nand2tetris",
"path": "/10_11_compiler/jack_compiler/tokenizer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#Crawling and write on text file
textfile=open('Flyday_comment_list.txt','w',encoding='utf-8')
for i in range(1,pages+1):
urls=urlopen(widget_url + "&page=" + str(i))
obj=soup(urls,"html.parser")
reviews = obj.find('div',{"id":"content"}).find('div',{"class"... | code_fim | hard | {
"lang": "python",
"repo": "devTaemin/Clothing-Crawler",
"path": "/Complete_crawler/FLYDAY/#FLYDAY_Crawler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: devTaemin/Clothing-Crawler path: /Complete_crawler/FLYDAY/#FLYDAY_Crawler.py
# -*- coding: utf-8 -*-
"""
Created on Wed May 8 20:12:33 2019
@author: Taemin
"""
from bs4 import BeautifulSoup as soup
from urllib.request import urlopen
from math import ceil
#Sequence : URL input => widget => Cr... | code_fim | hard | {
"lang": "python",
"repo": "devTaemin/Clothing-Crawler",
"path": "/Complete_crawler/FLYDAY/#FLYDAY_Crawler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('activities', '0015_auto_20200128_1045'),
('funding', '0050_auto_20200124_1230'),
]
operations = [
migrations.RunPython(migrate_funding,migrations.RunPython.noop)
]<|fim_prefix|># repo: onepercentclub/bluebottle path: /bluebottle/funding/migrati... | code_fim | medium | {
"lang": "python",
"repo": "onepercentclub/bluebottle",
"path": "/bluebottle/funding/migrations/0051_funding_update_contribution_date.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onepercentclub/bluebottle path: /bluebottle/funding/migrations/0051_funding_update_contribution_date.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.15 on 2020-01-29 12:43
from __future__ import unicode_literals
from django.db import migrations
from django.db.models import F
def migrate_f... | code_fim | medium | {
"lang": "python",
"repo": "onepercentclub/bluebottle",
"path": "/bluebottle/funding/migrations/0051_funding_update_contribution_date.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
绘制干扰点
"""
chance = min(100, max(0, int(point_chance)))
for w in range(width):
for h in range(height):
temp = random.randint(0, 100)
if temp > 100 - chance:
draw.point((w, h), fill=cls.__gen_random_c... | code_fim | hard | {
"lang": "python",
"repo": "huzidabanzhang/python-admin",
"path": "/libs/captcha.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def __gen_random_font(cls):
"""
采用随机字体
:return:
"""
fonts = ["consola.ttf", "consolab.ttf", "consolai.ttf"]
font = random.choice(fonts)
return ("utils/captcha/" if IsWindows() else "/home/") + font
@classmethod
def gen_t... | code_fim | hard | {
"lang": "python",
"repo": "huzidabanzhang/python-admin",
"path": "/libs/captcha.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: huzidabanzhang/python-admin path: /libs/captcha.py
#!/usr/bin/env python
# -*- coding:UTF-8 -*-
'''
@Description: 验证码
@Author: Zpp
@Date: 2019-09-17 15:07:00
@LastEditors: Zpp
@LastEditTime: 2020-05-07 10:52:52
'''
import random
import string
"""
Image: 画布
ImageDraw: 画笔
ImageFont: 字体
"""
from PI... | code_fim | hard | {
"lang": "python",
"repo": "huzidabanzhang/python-admin",
"path": "/libs/captcha.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if sys.version_info < (3,): # noqa
raise ImportError(
"""You are running GWPopulation 0.5.0 or higher on Python 2
GWPopulation 0.5.0 and above are no longer compatible with Python 2, and you
still ended up with this version installed. That's unfortunate; sorry about
that. It should not have ... | code_fim | medium | {
"lang": "python",
"repo": "yanyuechuixue/gwpopulation",
"path": "/gwpopulation/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yanyuechuixue/gwpopulation path: /gwpopulation/__init__.py
"""
GWPopulation
============
A collection of code for doing population inference.
All of this code will run on either CPUs or GPUs using cupy for GPU
acceleration.
This includes:
- commonly used likelihood functions in the Bilby fra... | code_fim | hard | {
"lang": "python",
"repo": "yanyuechuixue/gwpopulation",
"path": "/gwpopulation/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> $ pip install pip setuptools --upgrade
Your choices:
- Upgrade to Python 3.
- Install an older version of GWPopulation:
$ pip install 'gwpopulation<0.5.0'
It would be great if you can figure out how this version ended up being
installed, and try to check how to prevent that for future users.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "yanyuechuixue/gwpopulation",
"path": "/gwpopulation/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>gg.")
sm.warp(900090103, 0)
sm.dispose()<|fim_prefix|># repo: Bratah123/v203.4 path: /scripts/npc/dragonEgg.py
# dragon Egg (1013002) |
sm.startQuest<|fim_middle|>(22011)
sm.completeQuest(22011)
sm.systemMessage("You have acquired a Dragon E | code_fim | medium | {
"lang": "python",
"repo": "Bratah123/v203.4",
"path": "/scripts/npc/dragonEgg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bratah123/v203.4 path: /scripts/npc/dragonEgg.py
# dragon Egg (1013002) |
sm.startQuest<|fim_suffix|>gg.")
sm.warp(900090103, 0)
sm.dispose()<|fim_middle|>(22011)
sm.completeQuest(22011)
sm.systemMessage("You have acquired a Dragon E | code_fim | medium | {
"lang": "python",
"repo": "Bratah123/v203.4",
"path": "/scripts/npc/dragonEgg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bratah123/v203.4 path: /scripts/npc/dragonEgg.py
# dragon Egg (1013002) |
sm.startQuest(22011)
sm.completeQuest(22011)
sm.syst<|fim_suffix|>gg.")
sm.warp(900090103, 0)
sm.dispose()<|fim_middle|>emMessage("You have acquired a Dragon E | code_fim | easy | {
"lang": "python",
"repo": "Bratah123/v203.4",
"path": "/scripts/npc/dragonEgg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: code-cullison/gnam path: /events/gstations.wtf.py
from obspy.clients.fdsn import Client
from obspy import UTCDateTime
from obspy import Stream
from pyproj import Proj, transform
from gnam.events.gevents import gevents as ge
from gnam.model.bbox import bbox as bb
import numpy as np
import copy
imp... | code_fim | hard | {
"lang": "python",
"repo": "code-cullison/gnam",
"path": "/events/gstations.wtf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert (ekey in self._event_stations_dict)
assert (bkey in self._event_stations_dict[ekey])
assert (skey in self._event_stations_dict[ekey][bkey])
return self._event_stations_dict[ekey][bkey][skey]
def getIncludedStations(self,ekey,bkey):
return self._getStatio... | code_fim | hard | {
"lang": "python",
"repo": "code-cullison/gnam",
"path": "/events/gstations.wtf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._getStream(ekey,bkey,'2')
def _getStations(self,ekey,bkey,skey):
assert (ekey in self._event_stations_dict)
assert (bkey in self._event_stations_dict[ekey])
assert (skey in self._event_stations_dict[ekey][bkey])
return self._event_stations_dict[eke... | code_fim | hard | {
"lang": "python",
"repo": "code-cullison/gnam",
"path": "/events/gstations.wtf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kdmukai/notifyme path: /notifyme.py
import argparse
import configparser
import sys
import boto3
parser = argparse.ArgumentParser(description='notifyme.py -- A simple SNS notification script')
parser.add_argument(dest="target_phrase",
help="input in quotes")
parser.add_arg... | code_fim | hard | {
"lang": "python",
"repo": "kdmukai/notifyme",
"path": "/notifyme.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for line in sys.stdin:
if target_phrase in line:
sys.stdout.write("TARGET PHRASE! %s" % line)
msg = line[line.index(target_phrase):]
if note:
msg = "%s: %s" % (note, msg)
sns.publish(Message="%s: %s" % (host, msg), TopicArn=sns_to... | code_fim | hard | {
"lang": "python",
"repo": "kdmukai/notifyme",
"path": "/notifyme.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return (self.getClipsSize() <= 0)
def isMulti (self):
return (self.getClipsSize() > 0)
def hasTitle (self):
value = '' if self.title is None else self.title.strip()
return (len(value) > 0)
def hasDescription (self):
value = '' if self.description is None else self.description.... | code_fim | hard | {
"lang": "python",
"repo": "tuaplicacionpropia/text2img",
"path": "/text2img/clips.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tuaplicacionpropia/text2img path: /text2img/clips.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import copy
import io
import lxml.etree as ET
import hjson
import sys
import tempfile
#import xml.etree.ElementTree as ET
#tree = ET.parse('/home/jmramoss/almacen/plantillas_collage/test/... | code_fim | hard | {
"lang": "python",
"repo": "tuaplicacionpropia/text2img",
"path": "/text2img/clips.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lymanwong/Python-Projects path: /algorithms/friend_or_foe/friend_or_foe.py
# Make a program that filters a list of strings and returns a list with only your friends name in it. All your friends only have four letter in their name.
<|fim_suffix|>print friend(["Ryan", "Kieran", "Mark",]) #["Ryan",... | code_fim | medium | {
"lang": "python",
"repo": "lymanwong/Python-Projects",
"path": "/algorithms/friend_or_foe/friend_or_foe.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> list = []
for name in x:
if len(name) == 4:
list.append(name)
return list
print friend(["Ryan", "Kieran", "Mark",]) #["Ryan", "Mark"]<|fim_prefix|># repo: lymanwong/Python-Projects path: /algorithms/friend_or_foe/friend_or_foe.py
# Make a program that filters a list of strings and return... | code_fim | medium | {
"lang": "python",
"repo": "lymanwong/Python-Projects",
"path": "/algorithms/friend_or_foe/friend_or_foe.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("hello")
@cli.add("hi方法")
def hi():
print("hi")
cli.run()<|fim_prefix|># repo: wanggs4/util path: /example/use_cli.py
#! /usr/bin/env python
# -*- coding: UTF-8 -*-
from util.tool.cli import cli
<|fim_middle|>if __name__ == '__main__':
@cli.add("hello方法")
d... | code_fim | medium | {
"lang": "python",
"repo": "wanggs4/util",
"path": "/example/use_cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wanggs4/util path: /example/use_cli.py
#! /usr/bin/env python
# -*- coding: UTF-8 -*-
from util.tool.cli import cli
if __name__ == '__main__':
<|fim_suffix|> print("hi")
cli.run()<|fim_middle|> @cli.add("hello方法")
def hello():
print("hello")
@cli.add("hi方法")
... | code_fim | medium | {
"lang": "python",
"repo": "wanggs4/util",
"path": "/example/use_cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def connected_routes(self) -> List[str]:
return [
'/user'
]
@staticmethod
async def get(request: Request) -> Response:
try:
login = await authorized_userid(request)
if not login:
return respond_with_json({"error": "Un... | code_fim | hard | {
"lang": "python",
"repo": "jawello/e-shop-api-monolit",
"path": "/e-shop_api/app/endpoints/user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jawello/e-shop-api-monolit path: /e-shop_api/app/endpoints/user.py
from typing import List
from aiohttp.web import Request
from aiohttp.web_response import Response
from aiohttp_rest_api import AioHTTPRestEndpoint
from aiohttp_rest_api.responses import respond_with_json
from aiohttp_security imp... | code_fim | hard | {
"lang": "python",
"repo": "jawello/e-shop-api-monolit",
"path": "/e-shop_api/app/endpoints/user.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize(
"retention_policy",
[
hstrat.perfect_resolution_algo.Policy(),
hstrat.nominal_resolution_algo.Policy(),
hstrat.fixed_resolution_algo.Policy(fixed_resolution=10),
],
)
def test_policy_to_records_version_warning(
retention_policy,
caplog... | code_fim | hard | {
"lang": "python",
"repo": "mmore500/hstrat",
"path": "/tests/test_hstrat/test_serialization/test_policy_to_records.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mmore500/hstrat path: /tests/test_hstrat/test_serialization/test_policy_to_records.py
import json
import logging
import pytest
from hstrat import hstrat
from hstrat._auxiliary_lib import log_once_in_a_row
@pytest.mark.parametrize(
"retention_policy",
[
hstrat.perfect_resolutio... | code_fim | hard | {
"lang": "python",
"repo": "mmore500/hstrat",
"path": "/tests/test_hstrat/test_serialization/test_policy_to_records.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def GetWLANIP():
try:
cmd = "ip addr show wlan0 | grep inet | grep -v inet6 | awk '{print $2}' | cut -d '/' -f 1"
p = Popen(cmd, shell=True, stdout=PIPE)
output = p.communicate()[0]
ip = output[:-1]
if(ip ==""):
return "-"
else:
return ip
except:
r... | code_fim | hard | {
"lang": "python",
"repo": "nanomesher/Nanomesher_PiSwitchCap",
"path": "/OLEDDisplayDemo.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nanomesher/Nanomesher_PiSwitchCap path: /OLEDDisplayDemo.py
#!/usr/bin/env python
# This is a demo to show ip address of eth0 and wlan0 network interace on the ProdBoard OLED Display
'''
Copyright [2017] [Nanomesher Limited - www.nanomesher.com]
Licensed under the Apache License, Version 2.0 (... | code_fim | hard | {
"lang": "python",
"repo": "nanomesher/Nanomesher_PiSwitchCap",
"path": "/OLEDDisplayDemo.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anselmobd/fo2 path: /src/geral/migrations/0001_initial.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-09-12 18:52
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> dependencies = [
]
... | code_fim | hard | {
"lang": "python",
"repo": "anselmobd/fo2",
"path": "/src/geral/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='RecordTracking',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('user', models.CharField(max_length=64, verbose_name='Usuário')),
... | code_fim | hard | {
"lang": "python",
"repo": "anselmobd/fo2",
"path": "/src/geral/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arkydon/tukaan path: /tukaan/app.py
import os
import sys
import types
from typing import Any, Optional
import _tkinter as tk
from ._base import TkWidget
from ._layouts import BaseLayoutManager
from ._utils import TukaanError, from_tcl, to_tcl
from ._window_mixin import WindowMixin
tcl_interp =... | code_fim | hard | {
"lang": "python",
"repo": "arkydon/tukaan",
"path": "/tukaan/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def split_list(self, arg) -> tuple:
return self.app.splitlist(arg)
def run(self) -> None:
self.app.mainloop(0)
def quit(self) -> None:
"""
There is no App.destroy, just App.quit,
which also quits the entire tcl interpreter
"""
global tc... | code_fim | hard | {
"lang": "python",
"repo": "arkydon/tukaan",
"path": "/tukaan/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if type(L) == QUSO:
N = L.num_binary_variables
model = L.to_quso()
self._mapping = L.mapping
self._reverse_mapping = L.reverse_mapping
self._variables = L.variables
self._initial_state = (
initial_state.copy() if init... | code_fim | hard | {
"lang": "python",
"repo": "zeta1999/qubovert",
"path": "/qubovert/sim/_quso_simulation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zeta1999/qubovert path: /qubovert/sim/_quso_simulation.py
# Copyright 2020 Joseph T. Iosue
#
# 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.... | code_fim | hard | {
"lang": "python",
"repo": "zeta1999/qubovert",
"path": "/qubovert/sim/_quso_simulation.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def schedule_update(self, schedule, in_order=False, seed=None):
"""schedule_update.
Update the simulation with a schedule. This function wraps the C
implementation of the simulation.
Parameters
----------
schedule : iterable of tuples.
Each... | code_fim | hard | {
"lang": "python",
"repo": "zeta1999/qubovert",
"path": "/qubovert/sim/_quso_simulation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.ndim = len(start)
self.likelihood = likelihood
self.lp = lp
self.nwalkers = nwalkers
self.nthreads = nthreads
self.sampler = emcee.EnsembleSampler(self.nwalkers,
self.ndim,
... | code_fim | hard | {
"lang": "python",
"repo": "darthoctopus/PBjam",
"path": "/pbjam/mcmc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darthoctopus/PBjam path: /pbjam/mcmc.py
import emcee
import numpy as np
import scipy.stats as st
class mcmc():
""" Class for MCMC sampling
Use EMCEE to fit a provided model to a spectrum.
Parameters
----------
start : ndarray
An array of size ndim for the starting p... | code_fim | hard | {
"lang": "python",
"repo": "darthoctopus/PBjam",
"path": "/pbjam/mcmc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>plt.gcf().tight_layout()
plt.gcf().set_size_inches((12.24, 6.01))
plt.gcf().subplots_adjust(left=0.12, bottom=0.13,
right=0.96, top=0.96,
wspace=0.75, hspace=.95)<|fim_prefix|># repo: simeoncarstens/ensemble_hic path: /scripts/plots/nora2012/make_nora_p... | code_fim | hard | {
"lang": "python",
"repo": "simeoncarstens/ensemble_hic",
"path": "/scripts/plots/nora2012/make_nora_plots.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>sys.path.append(os.path.expanduser('~/projects/ensemble_hic/scripts/plots/nora2012/'))
fish_axes = [plt.subplot2grid(fig_shape, (i / 3, 3 + i % 3)) for i in range(7)]
from distance_distributions import plot_all_hists
plot_all_hists(fish_axes)
from TAD_analysis import plot_TADcm_hist
mix_ax = plt.subplot2... | code_fim | medium | {
"lang": "python",
"repo": "simeoncarstens/ensemble_hic",
"path": "/scripts/plots/nora2012/make_nora_plots.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simeoncarstens/ensemble_hic path: /scripts/plots/nora2012/make_nora_plots.py
import os
import sys
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
sys.path.append(os.path.expanduser('~/projects/ensemble_hic/scripts/plots/'))
fig_shape = (6,9)
<|fim_suffix|>sys.path.append(os... | code_fim | medium | {
"lang": "python",
"repo": "simeoncarstens/ensemble_hic",
"path": "/scripts/plots/nora2012/make_nora_plots.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser(
epilog=('Example: ./on_device_tests_gateway_client.py '
'--test_type=unit_test '
'--remote_archive_path=gs://my_bucket/path/to/artifacts.tar '
'--platform=raspi-2 '
'--config=devel'),
formatter_class=ar... | code_fim | hard | {
"lang": "python",
"repo": "youtube/cobalt",
"path": "/tools/on_device_tests_gateway_client.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def run_watch_command(self, workdir: str, args: argparse.Namespace):
"""Calls On-Device Tests watch service and passing given parameters to it.
Args:
workdir (str): Current script workdir.
args (Namespace): Arguments passed in command line.
"""
for response_line in self.... | code_fim | hard | {
"lang": "python",
"repo": "youtube/cobalt",
"path": "/tools/on_device_tests_gateway_client.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: youtube/cobalt path: /tools/on_device_tests_gateway_client.py
#!/usr/bin/env python3
#
# Copyright 2022 The Cobalt Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain ... | code_fim | hard | {
"lang": "python",
"repo": "youtube/cobalt",
"path": "/tools/on_device_tests_gateway_client.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ax.set_ylim([0, 14.8])
ax.set_xlim([0, 15.5])
ax.set_xticks(range(16))
ax.set_yticks(range(15))
ax.set_ylabel('# Irrelevant Results to View')
ax.set_xlabel('# Relevant Results Required')
ax.legend((rects1[0], rects2[0]), ('CodeCatch', 'Google'), handletextpad=0.5)
fig.tight_layout()
#fig.subplots_adjus... | code_fim | hard | {
"lang": "python",
"repo": "Vidya77/CodeCatch-RSSE",
"path": "/experiments/process_search_length.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Vidya77/CodeCatch-RSSE path: /experiments/process_search_length.py
import os
import json
import matplotlib.pyplot as plt
FIG_DIR = "C:/Users/themis/Desktop/RAISE2018/images/" if os.path.exists("C:/Users/themis/Desktop/RAISE2018/images/") else "C:/Users/user/Desktop/RAISE2018/images/"
def search... | code_fim | medium | {
"lang": "python",
"repo": "Vidya77/CodeCatch-RSSE",
"path": "/experiments/process_search_length.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for regex, module in persistence_regexes.iteritems():
if re.match(regex, self.uri):
return module
raise ValueError('{} is not a valid persistence uri. Available handlers are {}.'
.format(self.uri, [m.uri_regex for m in PERSISTENCE_LIST]... | code_fim | hard | {
"lang": "python",
"repo": "zanachka/exporters",
"path": "/exporters/persistence/persistence_config_dispatcher.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> raise ValueError('{} is not a valid persistence uri. Available handlers are {}.'
.format(self.uri, [m.uri_regex for m in PERSISTENCE_LIST]))
@property
def config(self):
return self.persistence_dispatcher.configuration_from_uri(
self.uri, self.p... | code_fim | hard | {
"lang": "python",
"repo": "zanachka/exporters",
"path": "/exporters/persistence/persistence_config_dispatcher.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zanachka/exporters path: /exporters/persistence/persistence_config_dispatcher.py
import re
from exporters.persistence import PERSISTENCE_LIST
class PersistenceConfigDispatcher(object):
def __init__(self, uri):
self.uri = uri
self.persistence_dispatcher = self.get_module_fro... | code_fim | hard | {
"lang": "python",
"repo": "zanachka/exporters",
"path": "/exporters/persistence/persistence_config_dispatcher.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>tPage
from .StrikePage import StrikePage<|fim_prefix|># repo: mscroggs/KLBFAX path: /page/special/__init__.py
from .NamePage import NamePage
from .LunchPage import LunchPage
from .PubPage i<|fim_middle|>mport PubPage
from .LeetPage import Lee | code_fim | easy | {
"lang": "python",
"repo": "mscroggs/KLBFAX",
"path": "/page/special/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mscroggs/KLBFAX path: /page/special/__init__.py
from .NamePage import NamePage
from .Lu<|fim_suffix|>mport PubPage
from .LeetPage import LeetPage
from .StrikePage import StrikePage<|fim_middle|>nchPage import LunchPage
from .PubPage i | code_fim | easy | {
"lang": "python",
"repo": "mscroggs/KLBFAX",
"path": "/page/special/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>uare
# 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
#/
class LeetCode_221_510:<|fim_prefix|># repo: chenlei65368/algorithm004-05 path: /Week 5/id_510/w/LeetCode_221_510.py
##
#在一个由 0 和 1 组成的二维矩阵内，找到只包含 1 的最大正方形，并返回其面积。
#
# 示例:
#
# 输入<|fim_middle|>:
#
# 1 0 1 0 0
# 1 0 1 1 1
# 1 1 1 1 1
# 1 0 0 1 0
... | code_fim | medium | {
"lang": "python",
"repo": "chenlei65368/algorithm004-05",
"path": "/Week 5/id_510/w/LeetCode_221_510.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chenlei65368/algorithm004-05 path: /Week 5/id_510/w/LeetCode_221_510.py
##
#在一个由 0 和 1 组成的二维矩阵内，找到只包含 1 的最大正方形，并返回其面积。
#
# 示例:
#
# 输入<|fim_suffix|>uare
# 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
#/
class LeetCode_221_510:<|fim_middle|>:
#
# 1 0 1 0 0
# 1 0 1 1 1
# 1 1 1 1 1
# 1 0 0 1 0
... | code_fim | medium | {
"lang": "python",
"repo": "chenlei65368/algorithm004-05",
"path": "/Week 5/id_510/w/LeetCode_221_510.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#
# 来源：力扣（LeetCode）
# 链接：https://leetcode-cn.com/problems/maximal-square
# 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
#/
class LeetCode_221_510:<|fim_prefix|># repo: chenlei65368/algorithm004-05 path: /Week 5/id_510/w/LeetCode_221_510.py
##
#在一个由 0 和 1 组成的二维矩阵内，找到只包含 1 的最大正方形，并返回其面积。
#
# 示例:
#
# 输入<|... | code_fim | medium | {
"lang": "python",
"repo": "chenlei65368/algorithm004-05",
"path": "/Week 5/id_510/w/LeetCode_221_510.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> .. note:: Use the cursor selection if startPos and endPos are none.
"""
QtGui.QTextEdit.ExtraSelection.__init__(self)
self.signals = TextDecorationSignals()
self.draw_order = draw_order
self.tooltip = tooltip
cursor = QtGui.QTextCursor(cursorOrBlockO... | code_fim | hard | {
"lang": "python",
"repo": "mukolx/pyqode.core",
"path": "/pyqode/core/decoration.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def underlined(self, color=QtCore.Qt.blue):
self.format.setUnderlineStyle(
QtGui.QTextCharFormat.SingleUnderline)
self.format.setUnderlineColor(color)
def setSpellchecking(self, color=QtCore.Qt.blue):
""" Underlines text as a spellcheck error.
:param c... | code_fim | hard | {
"lang": "python",
"repo": "mukolx/pyqode.core",
"path": "/pyqode/core/decoration.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mukolx/pyqode.core path: /pyqode/core/decoration.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
#The MIT License (MIT)
#
#Copyright (c) <2013-2014> <Colin Duquesnoy and others, see AUTHORS.txt>
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software a... | code_fim | hard | {
"lang": "python",
"repo": "mukolx/pyqode.core",
"path": "/pyqode/core/decoration.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'VL_ITEM',
'CST_ICMS',
'CFOP',
'ALIQ_ICMS',
'VL_PIS',
'VL_COFINS']
self._hierarchy = "5"<|fim_prefix|># repo: sebastiao-sousa-br/Extrator_SPEDFiscal path:... | code_fim | hard | {
"lang": "python",
"repo": "sebastiao-sousa-br/Extrator_SPEDFiscal",
"path": "/Regs/Block_C/RC470.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sebastiao-sousa-br/Extrator_SPEDFiscal path: /Regs/Block_C/RC470.py
from ..IReg import IReg
class RC470(IReg):
def __init__(self):
self._header = ['REG',
<|fim_suffix|> 'VL_ITEM',
'CST_ICMS',
'CF... | code_fim | hard | {
"lang": "python",
"repo": "sebastiao-sousa-br/Extrator_SPEDFiscal",
"path": "/Regs/Block_C/RC470.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #----- gene -----
readable_info = ""
json_info = []
for batch_id in tqdm(range(batch_numb) , ncols = 70 , desc = "Generating..."):
#----- get data -----
data = dataset[batch_id * batch_size:(batch_id+1) * batch_size]
sents , ents , anss , data_ent = get_data_from_batch(data, device=tc.device(... | code_fim | hard | {
"lang": "python",
"repo": "vhientran/RoR_relation_extraction",
"path": "/outputs/analyze/gene.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vhientran/RoR_relation_extraction path: /outputs/analyze/gene.py
import torch as tc
import pdb
import os , sys
import fitlog
import re
import pickle
from transformers import BertTokenizer
from tqdm import tqdm
from utils.train_util import get_data_from_batch
from utils.scorer import get_f1
from u... | code_fim | hard | {
"lang": "python",
"repo": "vhientran/RoR_relation_extraction",
"path": "/outputs/analyze/gene.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #----- prepare data and some global variables -----
data_train , data_test , data_valid , relations, rel_weights = load_data(C , logger)
_ , loss_func , generator = initialize(C , logger , relations , rel_weights)
if C.watch_type == "train":
data_watch = data_train
if C.watch_type == "test":
dat... | code_fim | hard | {
"lang": "python",
"repo": "vhientran/RoR_relation_extraction",
"path": "/outputs/analyze/gene.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lumbermixalot/ScriptEvent_Transpiler path: /main.py
# -*- coding: utf-8 -*-
"""
Copyright (c) 2020 Galib F. Arrieta
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software withou... | code_fim | hard | {
"lang": "python",
"repo": "lumbermixalot/ScriptEvent_Transpiler",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from pseudo_lua_parser import PseudoLuaParser
from script_event_generator import ScriptEventGenerator
from class_generator import ClassGenerator
def Transpile(input_filepath, output_path, ebus_name, address_type, generate_template, disable_script_event_generation):
input_stream = FileStream(input_fil... | code_fim | hard | {
"lang": "python",
"repo": "lumbermixalot/ScriptEvent_Transpiler",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
optparser = argparse.ArgumentParser(description='Transpiles a pseudo-lua file into a Lumberyard ScriptEvent lua file or a lua implementation template of such ScriptEvent.')
optparser.add_argument("-e", "--ebus_name", required=True,
help="The name of the EBus interface for the ScriptEvent file.")
optp... | code_fim | hard | {
"lang": "python",
"repo": "lumbermixalot/ScriptEvent_Transpiler",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: a358003542/yaogua path: /yaogua/__main__.py
#!/usr/bin/env python
# -*-coding:utf-8-*-
import logging
import click
from yaogua import __version__
from .zhouyi import explain_all, zhouyi_yaogua
logger = logging.getLogger(__name__)
def print_version(ctx, param, value):
if not ... | code_fim | medium | {
"lang": "python",
"repo": "a358003542/yaogua",
"path": "/yaogua/__main__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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