text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>for obj in Movie.objects.all():
if obj.cover and (not obj.is_valid(obj.cover)):
print(f"{obj.name}封面失效")
obj.cover = None
obj.save()
print(f"{obj.name}封面已删除")<|fim_prefix|># repo: kqhasaki/Team-Website path: /movies/tests.py
from django.test import TestCase
<|fim_midd... | code_fim | easy | {
"lang": "python",
"repo": "kqhasaki/Team-Website",
"path": "/movies/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kqhasaki/Team-Website path: /movies/tests.py
from django.test import TestCase
<|fim_suffix|>for obj in Movie.objects.all():
if obj.cover and (not obj.is_valid(obj.cover)):
print(f"{obj.name}封面失效")
obj.cover = None
obj.save()
print(f"{obj.name}封面已删除")<|fim_midd... | code_fim | easy | {
"lang": "python",
"repo": "kqhasaki/Team-Website",
"path": "/movies/tests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dzon4xx/company-management path: /employees/models.py
from django.db import models
class classproperty:
def __init__(self, f):
self.f = f
def __get__(self, obj, owner):
return self.f(owner)
class ModelNames:
@classproperty
def name(cls):
return cls.__... | code_fim | hard | {
"lang": "python",
"repo": "dzon4xx/company-management",
"path": "/employees/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Profession(models.Model, ModelNames):
DEV = 'dev'
TEST = 'test'
ADM = 'adm'
CHOICES = ((DEV, 'Developer'),
(TEST, 'Tester'),
(ADM, 'Administrator'))
name = models.CharField(max_length=20, choices=CHOICES)
description = models.TextField()
... | code_fim | medium | {
"lang": "python",
"repo": "dzon4xx/company-management",
"path": "/employees/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: inchiresolver/inchiresolver path: /appsite/inchi/tests.py
from django.test import TestCase
# Create your tests here.
from inchi.identifier import InChI
<|fim_suffix|> def test1(self):
s = "InChI=1S/C2H6O/c1-2-3/h3H,2H2,1H3"
inchi = InChI(s)
print(inchi)
prin... | code_fim | easy | {
"lang": "python",
"repo": "inchiresolver/inchiresolver",
"path": "/appsite/inchi/tests.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> s = "InChI=1S/C2H6O/c1-2-3/h3H,2H2,1H3"
inchi = InChI(s)
print(inchi)
print(inchi.element['well_formatted'])
print(inchi.element['is_standard'])
print(inchi.element['version'])<|fim_prefix|># repo: inchiresolver/inchiresolver path: /appsite/inchi/tests.py
... | code_fim | easy | {
"lang": "python",
"repo": "inchiresolver/inchiresolver",
"path": "/appsite/inchi/tests.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: devbruce/yolov3-tf2 path: /libs/utils/augs.py
import cv2
import numpy as np
import albumentations as A
__all__ = ['get_transform', 'img_letterbox']
def get_transform(img_height, img_width):
h_crop_ratio = np.random.uniform(low=0.1, high=0.9)
w_crop_ratio = np.random.uniform(low=0.1, h... | code_fim | hard | {
"lang": "python",
"repo": "devbruce/yolov3-tf2",
"path": "/libs/utils/augs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if boxes is None:
return img_padded
else:
boxes[:, [0, 2]] = boxes[:, [0, 2]] * scale + half_pad_width
boxes[:, [1, 3]] = boxes[:, [1, 3]] * scale + half_pad_height
return img_padded, boxes<|fim_prefix|># repo: devbruce/yolov3-tf2 path: /libs/utils/augs.py
import c... | code_fim | hard | {
"lang": "python",
"repo": "devbruce/yolov3-tf2",
"path": "/libs/utils/augs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> annotations_dir = args.tao_root / 'annotations'
if annotations_dir.exists():
print(f'Annotations directory already exists; skipping.')
else:
annotations_compressed = args.tao_root / 'annotations.tar.gz'
if not annotations_compressed.exists():
banner_log('Dow... | code_fim | hard | {
"lang": "python",
"repo": "sukjunhwang/tao",
"path": "/scripts/download/download_annotations.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sukjunhwang/tao path: /scripts/download/download_annotations.py
import argparse
import urllib.error
import urllib.request
from pathlib import Path
import subprocess
ANNOTATIONS_TAR_GZ = 'https://github.com/TAO-Dataset/annotations/archive/v1.2.tar.gz'
def banner_log(msg):
banner = '#' * le... | code_fim | hard | {
"lang": "python",
"repo": "sukjunhwang/tao",
"path": "/scripts/download/download_annotations.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Round to 2 digits. Returns int if rounded float has only zeroes after the decimal point."""
return int(rounded) if (rounded := round(flt, 2)).is_integer() else rounded<|fim_prefix|># repo: MajorTanya/DTbot path: /util/utils.py
from __future__ import annotations
<|fim_middle|>def rint(flt: fl... | code_fim | easy | {
"lang": "python",
"repo": "MajorTanya/DTbot",
"path": "/util/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MajorTanya/DTbot path: /util/utils.py
from __future__ import annotations
<|fim_suffix|> """Round to 2 digits. Returns int if rounded float has only zeroes after the decimal point."""
return int(rounded) if (rounded := round(flt, 2)).is_integer() else rounded<|fim_middle|>def rint(flt: fl... | code_fim | easy | {
"lang": "python",
"repo": "MajorTanya/DTbot",
"path": "/util/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>setup(name="use_class_before_def",
version="0.0.1",
install_requires=["quark==0.0.1"],
py_modules=['use_class_before_def'],
packages=['pkg', 'use_class_before_def', 'use_class_before_def_md'])<|fim_prefix|># repo: bozzzzo/quark path: /quarkc/test/emit/expected/py/use-class-before-... | code_fim | easy | {
"lang": "python",
"repo": "bozzzzo/quark",
"path": "/quarkc/test/emit/expected/py/use-class-before-def/setup.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bozzzzo/quark path: /quarkc/test/emit/expected/py/use-class-before-def/setup.py
# Setup file for package use_class_before_def
<|fim_suffix|>setup(name="use_class_before_def",
version="0.0.1",
install_requires=["quark==0.0.1"],
py_modules=['use_class_before_def'],
packages... | code_fim | easy | {
"lang": "python",
"repo": "bozzzzo/quark",
"path": "/quarkc/test/emit/expected/py/use-class-before-def/setup.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>with requests.Session() as s:
for keyname in tqdm(keynames):
try:
r = s.get(schemaUrl + keyname, timeout=61)
except requests.exceptions.ReadTimeout:
print(keyname, ": Data request read timed out")
logging.debug('%s: Data read timed out', keyname)
... | code_fim | hard | {
"lang": "python",
"repo": "snatch59/oecd-data-mining",
"path": "/oecd_schema.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: snatch59/oecd-data-mining path: /oecd_schema.py
import requests
import pandas as pd
import lxml.etree as etree
from tqdm import tqdm
import logging
import datetime
import os
# http://stats.oecd.org/restsdmx/sdmx.ashx/GetSchema/
# Get and save the xml schema for each KeyFamily ID
# Should complet... | code_fim | hard | {
"lang": "python",
"repo": "snatch59/oecd-data-mining",
"path": "/oecd_schema.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nohossat/exploradome_tangram path: /tangram_app/metrics.py
import re
import os
import seaborn as sns
import matplotlib.pyplot as plt
from .tangram_game import tangram_game
from .utils import get_files
from .processing import *
from .predictions import *
from sklearn.metrics import classification... | code_fim | medium | {
"lang": "python",
"repo": "Nohossat/exploradome_tangram",
"path": "/tangram_app/metrics.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if label != predictions.loc[0, 'target']:
print(img_path, label, predictions.loc[0, 'target'])
y_true.append(label)
y_pred.append(predictions.loc[0, 'target'])
# get metrics
conf_matrix = confusion_matrix(y_true, y_pred, labels=classes)
report = classifica... | code_fim | hard | {
"lang": "python",
"repo": "Nohossat/exploradome_tangram",
"path": "/tangram_app/metrics.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# for each image, get prediction by our algorithm
for label, img_path in images:
predictions = game(image=img_path, prepro=prepro, pred_func=pred_func)
if predictions is None:
continue
if label != predictions.loc[0, 'target']:
print(img_path, labe... | code_fim | medium | {
"lang": "python",
"repo": "Nohossat/exploradome_tangram",
"path": "/tangram_app/metrics.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-C", "--parameter", action="append")
args = parser.parse_args()
function = "do_" + parser.prog.replace("-", "_").replace(".py", "")
if function in locals():
locals()[function](args)
else:
... | code_fim | medium | {
"lang": "python",
"repo": "openbmc/openbmc",
"path": "/meta-arm/meta-arm/lib/oeqa/selftest/cases/tests/mock-fvp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if function in locals():
locals()[function](args)
else:
print(f"Unknown mock mode {parser.prog}")
sys.exit(1)<|fim_prefix|># repo: openbmc/openbmc path: /meta-arm/meta-arm/lib/oeqa/selftest/cases/tests/mock-fvp.py
#! /usr/bin/env python3
import argparse
import sys
def do... | code_fim | hard | {
"lang": "python",
"repo": "openbmc/openbmc",
"path": "/meta-arm/meta-arm/lib/oeqa/selftest/cases/tests/mock-fvp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openbmc/openbmc path: /meta-arm/meta-arm/lib/oeqa/selftest/cases/tests/mock-fvp.py
#! /usr/bin/env python3
import argparse
import sys
def do_test_parameters(args):
if not args.parameter or set(args.parameter) != set(("board.cow=moo", "board.dog=woof")):
print(f"Unexpected arguments:... | code_fim | hard | {
"lang": "python",
"repo": "openbmc/openbmc",
"path": "/meta-arm/meta-arm/lib/oeqa/selftest/cases/tests/mock-fvp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Add a file picker to the tab
"""
handler = self._changed_handler(handler)
if pick_dir:
picker = wx.DirPickerCtrl(self, style=wx.DIRP_USE_TEXTCTRL)
picker.Bind(wx.EVT_DIRPICKER_CHANGED, handler)
else:
picker = wx.FilePi... | code_fim | hard | {
"lang": "python",
"repo": "JosephGWoods/oxasl_optpcasl",
"path": "/oxasl_optpcasl/gui/widgets.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JosephGWoods/oxasl_optpcasl path: /oxasl_optpcasl/gui/widgets.py
"""
OXASL_OPTPCASL: Useful wx widgets for building the GUI
Copyright (c) 2019 University of Oxford
"""
import os
import wx
class TabPage(wx.Panel):
"""
Shared methods used by the various tab pages in the GUI
"""
d... | code_fim | hard | {
"lang": "python",
"repo": "JosephGWoods/oxasl_optpcasl",
"path": "/oxasl_optpcasl/gui/widgets.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(NumberChooser, self).__init__(parent)
self.minval, self.orig_min, self.maxval, self.orig_max = minval, minval, maxval, maxval
self.handler = changed_handler
self.hbox = wx.BoxSizer(wx.HORIZONTAL)
if label is not None:
self.label = wx.StaticText(se... | code_fim | hard | {
"lang": "python",
"repo": "JosephGWoods/oxasl_optpcasl",
"path": "/oxasl_optpcasl/gui/widgets.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> permission_required = 'projects.delete_project'
accept_global_perms = True
form_class = ProjectForm
def delete(self, request, *args, **kwargs):
self.object = self.get_object()
success_url = self.get_success_url()
messages.add_message(
request, message... | code_fim | hard | {
"lang": "python",
"repo": "Hedde/fabric_interface",
"path": "/src/fabric_interface/projects/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hedde/fabric_interface path: /src/fabric_interface/projects/views.py
__author__ = 'heddevanderheide'
# Django specific
from django.contrib import messages
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from django.utils.datastructures import SortedDict... | code_fim | hard | {
"lang": "python",
"repo": "Hedde/fabric_interface",
"path": "/src/fabric_interface/projects/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class ProjectUpdateView(PermissionRequiredMixin, UpdateContextMixin, UpdateView):
permission_required = 'projects.change_project'
accept_global_perms = True
form_class = ProjectForm
def get_success_url(self):
messages.add_message(
self.request, messages.SUCCESS, _(u"U... | code_fim | hard | {
"lang": "python",
"repo": "Hedde/fabric_interface",
"path": "/src/fabric_interface/projects/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> read_mask = torch.sigmoid(self.read_mask(inputs))
read_mask = read_mask.view(-1, self.batch_size, self.num_reads, self.memory_dim)
write_mask = torch.sigmoid(self.write_mask(inputs))
write_mask = write_mask.view(-1, self.batch_size, self.num_writes, self.memory_dim)
mode_strengths = s... | code_fim | hard | {
"lang": "python",
"repo": "JimOhman/differentiable-neural-computers",
"path": "/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> forward_weights = self.linkage.directional_read_weights(self.read_weights,
forward=True,
strengths=mode_strengths)
backward_mode = read_mode[..., :self.num_writes]
forward_m... | code_fim | hard | {
"lang": "python",
"repo": "JimOhman/differentiable-neural-computers",
"path": "/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JimOhman/differentiable-neural-computers path: /core.py
torch import jit
class TemporalLinkage(jit.ScriptModule):
def __init__(self, batch_size, capacity, num_writes):
super(TemporalLinkage, self).__init__()
self.batch_size = batch_size
self.num_writes = num_writes
self.capac... | code_fim | hard | {
"lang": "python",
"repo": "JimOhman/differentiable-neural-computers",
"path": "/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: parknert/zonefile-parser path: /zonefile_parser/helper_test.py
import pytest
import zonefile_parser.helper as helper
class TestRemoveComments:
def test_correctly_removes_comment(self):
input = "value;comment"
result = helper.remove_comments(input)
assert result == "va... | code_fim | hard | {
"lang": "python",
"repo": "parknert/zonefile-parser",
"path": "/zonefile_parser/helper_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> input = '"A"'
result = helper.is_in_quote(input,0)
assert result == False
class TestParseBind:
def test_parses_two_digit_period(self):
bind_string = "15M"
result = helper.parse_bind(bind_string)
assert result == (15*60)
def test_parses_multiple_per... | code_fim | hard | {
"lang": "python",
"repo": "parknert/zonefile-parser",
"path": "/zonefile_parser/helper_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(f'R${valor:0.2f} convertidos em {moeda} é igual a ${novo_valor:0.2f}.')<|fim_prefix|># repo: antunesce/Curso-Python-3 path: /Mundo 1 - Fundamentos/Aula007 - Operadores Aritméticos/Desafio010.py
# Desafio 10: Crie um programa que leia quanto dinheiro uma pessoa tem na carteira e mostre quantos dólar... | code_fim | medium | {
"lang": "python",
"repo": "antunesce/Curso-Python-3",
"path": "/Mundo 1 - Fundamentos/Aula007 - Operadores Aritméticos/Desafio010.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antunesce/Curso-Python-3 path: /Mundo 1 - Fundamentos/Aula007 - Operadores Aritméticos/Desafio010.py
# Desafio 10: Crie um programa que leia quanto dinheiro uma pessoa tem na carteira e mostre quantos dólares ela pode comprar. Cotação do dólar no exercício => $ 1,00 = R$ 3,27
print('.' * 40)
pri... | code_fim | medium | {
"lang": "python",
"repo": "antunesce/Curso-Python-3",
"path": "/Mundo 1 - Fundamentos/Aula007 - Operadores Aritméticos/Desafio010.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mumingpo/2048 path: /2048/_2048board.py
from random import randrange as rand
from msvcrt import getch as keyin
import os
class Game(object):
"""set up the board and movement for the game 2048"""
@staticmethod
def randp(): return rand(10) == 9 ##i... | code_fim | hard | {
"lang": "python",
"repo": "mumingpo/2048",
"path": "/2048/_2048board.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def availloc(self):
for row in range(4):
for col in range(4):
if self.board[row][col] == 0:
yield row, col
def checkdeadlock(self):
if len(self.availlocs) == 0: ##less expensive check first
... | code_fim | hard | {
"lang": "python",
"repo": "mumingpo/2048",
"path": "/2048/_2048board.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def on_message(msg, server):
text = msg.get("text", "")
match = re.findall(r"!(?:deploy) (.*)", text)
if not match:
return
return deploy(match[0])<|fim_prefix|># repo: Bubba9er/Mastering-DevOps path: /Section7/Video3/deploy.py
"""!deploy <app> will deploy that app to production"... | code_fim | hard | {
"lang": "python",
"repo": "Bubba9er/Mastering-DevOps",
"path": "/Section7/Video3/deploy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def on_message(msg, server):
text = msg.get("text", "")
match = re.findall(r"!(?:deploy) (.*)", text)
if not match:
return
return deploy(match[0])<|fim_prefix|># repo: Bubba9er/Mastering-DevOps path: /Section7/Video3/deploy.py
"""!deploy <app> will deploy that app to production... | code_fim | hard | {
"lang": "python",
"repo": "Bubba9er/Mastering-DevOps",
"path": "/Section7/Video3/deploy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bubba9er/Mastering-DevOps path: /Section7/Video3/deploy.py
"""!deploy <app> will deploy that app to production"""
import re
import hashlib
<|fim_suffix|> text = msg.get("text", "")
match = re.findall(r"!(?:deploy) (.*)", text)
if not match:
return
return deploy(match[0])... | code_fim | hard | {
"lang": "python",
"repo": "Bubba9er/Mastering-DevOps",
"path": "/Section7/Video3/deploy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def stop(self):
self.stopping.set()
self.join()
def join(self):
super(GPIOThread, self).join()
_THREADS.discard(self)
class GPIOQueue(GPIOThread):
def __init__(
self, parent, queue_len=5, sample_wait=0.0, partial=False,
average=median)... | code_fim | hard | {
"lang": "python",
"repo": "miketrebilcock/python-gpiozero",
"path": "/gpiozero/devices.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: miketrebilcock/python-gpiozero path: /gpiozero/devices.py
from __future__ import (
unicode_literals,
print_function,
absolute_import,
division,
)
nstr = str
str = type('')
import atexit
import weakref
from threading import Thread, Event, RLock
from collections import deque
fr... | code_fim | hard | {
"lang": "python",
"repo": "miketrebilcock/python-gpiozero",
"path": "/gpiozero/devices.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>PATHS = [
'.',
'..',
'./one/two/three',
'../one/two/three',
]
for path in PATHS:
print('{!r:>21} : {!r}'.format(path, os.path.abspath(path)))<|fim_prefix|># repo: Nobodylesszb/python_module path: /FileSystem/os_path/ospath_abspath.py
#要将相对路径转换为绝对文件名，请使用 abspath()
import os
import os... | code_fim | easy | {
"lang": "python",
"repo": "Nobodylesszb/python_module",
"path": "/FileSystem/os_path/ospath_abspath.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nobodylesszb/python_module path: /FileSystem/os_path/ospath_abspath.py
#要将相对路径转换为绝对文件名，请使用 abspath()
import os
import os.path
<|fim_suffix|>PATHS = [
'.',
'..',
'./one/two/three',
'../one/two/three',
]
for path in PATHS:
print('{!r:>21} : {!r}'.format(path, os.path.abspath(... | code_fim | easy | {
"lang": "python",
"repo": "Nobodylesszb/python_module",
"path": "/FileSystem/os_path/ospath_abspath.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sbroadhead/literate path: /test/test_corpus.py
import unittest
import literate
class LiterateTests(unittest.TestCase):
lipsum = ["""Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur placerat neque vitae
neque scelaerisque, id blandit tortor condimentum. Nullam ut pe... | code_fim | hard | {
"lang": "python",
"repo": "sbroadhead/literate",
"path": "/test/test_corpus.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertNotIn('\\begin', self.corpus._text)
self.assertEquals(2, len(self.corpus.code_regions))
self.assertEquals('haskell', self.corpus.code_regions[0].options['lang'])
self.assertEquals('scala', self.corpus.code_regions[1].options['lang'])
self.assertEquals('ye... | code_fim | hard | {
"lang": "python",
"repo": "sbroadhead/literate",
"path": "/test/test_corpus.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_find_blocks(self):
self.assertNotIn('\\begin', self.corpus._text)
self.assertEquals(2, len(self.corpus.code_regions))
self.assertEquals('haskell', self.corpus.code_regions[0].options['lang'])
self.assertEquals('scala', self.corpus.code_regions[1].options['lang'... | code_fim | hard | {
"lang": "python",
"repo": "sbroadhead/literate",
"path": "/test/test_corpus.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CardiacModelling/PyHillFit path: /python/doseresponse.py
import os
import pandas as pd
import numpy as np
import scipy.stats as st
#import warnings
#warnings.filterwarnings("error")
beta = 2.
alpha = ((beta+1.)/(beta-1.))**(1./beta) # for mode at 1
mu = 4.
s = 2.
sigma_uniform_lower = 1e-3
sigm... | code_fim | hard | {
"lang": "python",
"repo": "CardiacModelling/PyHillFit",
"path": "/python/doseresponse.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def samples_file(drug, channel, model, hierarchical, num_samples, temperature):
if hierarchical:
output_dir = 'output/{}/hierarchical/{}/{}/temperature_{}/'.format(dir_name, drug, channel, temperature)
else:
output_dir = 'output/{}/single-level/{}/{}/model_{}/temperature_{}/'.forma... | code_fim | hard | {
"lang": "python",
"repo": "CardiacModelling/PyHillFit",
"path": "/python/doseresponse.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joelmpiper/bill_taxonomy path: /bin/write_data.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" write_data
Fill in missing data for a subject when the model is available in
pickle format.
Author: Joel Piper <joelmpiper [at] gmail.com>
Created: Saturday, September 27, 2016
"""
<|fim_su... | code_fim | hard | {
"lang": "python",
"repo": "joelmpiper/bill_taxonomy",
"path": "/bin/write_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dbname = cfg['dbname']
username = cfg['username']
sub = cfg['subject']
us_bills = get_us_bills(dbname, username, 50000)
subjects = get_subjects(dbname, username, [sub])
X = make_x_values(us_bills)
y = make_y_values(us_bills, subjects, sub)
f... | code_fim | hard | {
"lang": "python",
"repo": "joelmpiper/bill_taxonomy",
"path": "/bin/write_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>algo = algorithms.index(parms.algorithm)
cert = psycopg2.Binary(get_cert(parms.certificate)) if parms.certificate != None else None
local = (parms.type == 'local')
conn = psycopg2.connect(database='maildb', user='direct')
cur = conn.cursor();
if parms.cmd == 'add':
cur.execute("INSERT INTO domains(na... | code_fim | hard | {
"lang": "python",
"repo": "Medicasoft/Abelian",
"path": "/src/tools/direct_domain",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Medicasoft/Abelian path: /src/tools/direct_domain
#!/usr/bin/env python
""" Copyright 2014 MedicaSoft LLC USA and Info World SRL
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": "Medicasoft/Abelian",
"path": "/src/tools/direct_domain",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if (parms.cmd != 'list') and (parms.domain == None):
print 'Domain name is required'
exit(2)
algo = algorithms.index(parms.algorithm)
cert = psycopg2.Binary(get_cert(parms.certificate)) if parms.certificate != None else None
local = (parms.type == 'local')
conn = psycopg2.connect(database='maild... | code_fim | hard | {
"lang": "python",
"repo": "Medicasoft/Abelian",
"path": "/src/tools/direct_domain",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>BondsMapper = vtk.vtkPolyDataMapper()
BondsMapper.SetInputConnection(Tube.GetOutputPort())
BondsMapper.SetImmediateModeRendering(1)
BondsMapper.UseLookupTableScalarRangeOff()
BondsMapper.SetScalarVisibility(1)
BondsMapper.SetScalarModeToDefault()
Bonds = vtk.vtkActor()
Bonds.SetMapper(BondsMapper... | code_fim | hard | {
"lang": "python",
"repo": "hlzz/dotfiles",
"path": "/graphics/VTK-7.0.0/Rendering/Volume/Testing/Python/gaussian.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>contour = vtk.vtkContourFilter()
contour.SetInputData(reader.GetGridOutput())
contour.GenerateValues(5, 0, .05)
contourMapper = vtk.vtkPolyDataMapper()
contourMapper.SetInputConnection(contour.GetOutputPort())
contourMapper.SetScalarRange(0, .1)
contourMapper.GetLookupTable().SetHueRange(0.32, 0)
... | code_fim | hard | {
"lang": "python",
"repo": "hlzz/dotfiles",
"path": "/graphics/VTK-7.0.0/Rendering/Volume/Testing/Python/gaussian.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hlzz/dotfiles path: /graphics/VTK-7.0.0/Rendering/Volume/Testing/Python/gaussian.py
#!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
ren1 = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
renWin.SetMu... | code_fim | hard | {
"lang": "python",
"repo": "hlzz/dotfiles",
"path": "/graphics/VTK-7.0.0/Rendering/Volume/Testing/Python/gaussian.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: suddi/3DSlantRelief path: /src/modelview.py
from math import cos, sin
from numpy import array, float32
from tools import deg_to_rad
class ModelView(object):
def __init__(self, *args, **kwargs):
# The matrix is:
# 1 0 0 0
# 0 1 0 0
... | code_fim | hard | {
"lang": "python",
"repo": "suddi/3DSlantRelief",
"path": "/src/modelview.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> forward_x *= scale['Z']
forward_y *= scale['Z']
forward_z *= scale['Z']
self.matrix = array([
[left_x, left_y, left_z, 0.0],
[up_x, up_y, up_z, 0.0],
[forward_x, forward_y, forwar... | code_fim | hard | {
"lang": "python",
"repo": "suddi/3DSlantRelief",
"path": "/src/modelview.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.create_table() \
.build_view()\
.with_name("POSTS_VIEW")\
.select_column("title")\
.with_action("CREATE")\
.to_path(file.name)
expected_statement = """
CREATE VIEW POSTS_VIEW
AS
SELECT
title
FROM POSTS;""".strip()
wi... | code_fim | hard | {
"lang": "python",
"repo": "zhangyuan/simple-sql-builder",
"path": "/test/view_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhangyuan/simple-sql-builder path: /test/view_test.py
import tempfile
import unittest
from table import Table
from view import ColumnNotExits
class ViewTest(unittest.TestCase):
def test_build_view_from_table(self):
table = self.create_table()
view = table.build_view()
... | code_fim | hard | {
"lang": "python",
"repo": "zhangyuan/simple-sql-builder",
"path": "/test/view_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> statement = self.create_table()\
.build_view() \
.with_name("POSTS_VIEW") \
.select_column("title") \
.with_action("CREATE") \
.with_header("/* This is comment */")\
.build()
expected_statement = """
/* This is commen... | code_fim | hard | {
"lang": "python",
"repo": "zhangyuan/simple-sql-builder",
"path": "/test/view_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MaXXXXfeng/flask-scaffolding path: /flask_scaffolding/scaffoldings/basic/proj/models/mongo_models.py
from mongoengine import (
DateTimeField,
StringField,
DictField,
ObjectIdField,
ListField,
IntField,
BooleanField,
)
from proj.extensions import mongo_db
from proj.uti... | code_fim | hard | {
"lang": "python",
"repo": "MaXXXXfeng/flask-scaffolding",
"path": "/flask_scaffolding/scaffoldings/basic/proj/models/mongo_models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _id = IntField(primary_key=True)
def to_dict(self):
return {
'id': self.id
}
class Sequence(mongo_db.Document):
''' Generate Auto incrementing IDs by using next_sequence_id method '''
_id = StringField(primary_key=True)
value = IntField(required=True)
... | code_fim | hard | {
"lang": "python",
"repo": "MaXXXXfeng/flask-scaffolding",
"path": "/flask_scaffolding/scaffoldings/basic/proj/models/mongo_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main() -> None:
from argparse import ArgumentParser
def comma_split(s: str) -> Tuple:
if not s:
return ()
else:
return tuple(map(int, s.split(",")))
parser = ArgumentParser(
description="Scansort helps to collate and rename book scan images... | code_fim | hard | {
"lang": "python",
"repo": "mkuznets/scansort",
"path": "/scansort/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.files: Dict[Page, List[str]] = {}
self.missing: Dict[Page, List[int]] = {}
@property
def n_all(self) -> int:
return sum(self.n(t) for t in Page)
@property
def is_valid(self) -> bool:
return self.n(Page.odd) - self.n(Page.even) == self.n_all % 2
d... | code_fim | hard | {
"lang": "python",
"repo": "mkuznets/scansort",
"path": "/scansort/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mkuznets/scansort path: /scansort/__main__.py
# -*- coding: utf-8 -*-
"""
scansort.__main__
~~~~~~~~~
Scansort executable
:copyright: (c) 2016, Max Kuznetsov
:license: MIT, see LICENSE for more details.
"""
import os
import shutil
import subprocess
import tempfile
from enum... | code_fim | hard | {
"lang": "python",
"repo": "mkuznets/scansort",
"path": "/scansort/__main__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: coolspiderghy/preprocessing-workflow path: /fmriprep/workflows/base.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""
Created on Wed Dec 2 17:35:40 2015
@author: craigmoodie
"""
... | code_fim | hard | {
"lang": "python",
"repo": "coolspiderghy/preprocessing-workflow",
"path": "/fmriprep/workflows/base.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> workflow.connect([
(inputnode, bidssrc, [('subject_id', 'subject_id')]),
(bidssrc, t1w_pre, [('t1w', 'inputnode.t1w')]),
(bidssrc, fmap_est, [('fmap', 'inputnode.input_images')]),
(bidssrc, sbref_pre, [('sbref', 'inputnode.sbref')]),
(fmap_est, sbref_pre, [('out... | code_fim | hard | {
"lang": "python",
"repo": "coolspiderghy/preprocessing-workflow",
"path": "/fmriprep/workflows/base.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if "variables" not in test_block_config:
test_block_config["variables"] = {}
tavern_box = Box({
"env_vars": dict(os.environ),
})
test_block_config["variables"]["tavern"] = tavern_box
tests: OrderedDict = {
'all_passed': True,
'tests': list(),
'... | code_fim | hard | {
"lang": "python",
"repo": "feliphebueno/Tavern",
"path": "/tavern/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: feliphebueno/Tavern path: /tavern/core.py
import logging
import os
import io
from collections import OrderedDict
from typing import List, Dict
from datetime import datetime
import yaml
from contextlib2 import ExitStack
from box import Box
from tavern.response.rest import RestResponse
from .uti... | code_fim | hard | {
"lang": "python",
"repo": "feliphebueno/Tavern",
"path": "/tavern/core.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def run(in_file: str, tavern_global_cfg=[]) -> List[dict]:
"""Run all tests contained in a file
For each test this makes sure it matches the expected schema, then runs it.
There currently isn't something like pytest's `-x` flag which exits on first
failure.
Todo:
the tavern_g... | code_fim | hard | {
"lang": "python",
"repo": "feliphebueno/Tavern",
"path": "/tavern/core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tanadeau/pubsub path: /test_pubsub.py
#! /usr/bin/python
"""
Unit tests for pubsub module
"""
import logging
import unittest
import pubsub
class SingleSubscriber(object):
def __init__(self, test, bus, exp_topic, exp_data, create_topic=True):
self.bus = bus
self.test = tes... | code_fim | hard | {
"lang": "python",
"repo": "tanadeau/pubsub",
"path": "/test_pubsub.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_multi_sub(self):
"""Tests one subscriber that subscribes to multiple topics"""
# Create bus
bus = pubsub.PubSubBus()
topic_data_dict = {
'foo': 'data',
'bar': 589,
'baz': {'a': 1, 'b': 2}}
# Create multi-subscriber ... | code_fim | hard | {
"lang": "python",
"repo": "tanadeau/pubsub",
"path": "/test_pubsub.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Create or update a new value in store
:param key: key
:param value: value
"""
self._store[key] = value
def values(self) -> Iterable[U]:
"""
Gets all values in store as list
:return: List of values
"""
return s... | code_fim | hard | {
"lang": "python",
"repo": "shingkid/electionguard-python",
"path": "/src/electionguard/data_store.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shingkid/electionguard-python path: /src/electionguard/data_store.py
from collections.abc import Mapping
from typing import (
Dict,
Generic,
Iterable,
Iterator,
List,
Optional,
Tuple,
TypeVar,
)
T = TypeVar("T")
U = TypeVar("U")
class DataStore(Generic[T, U], ... | code_fim | hard | {
"lang": "python",
"repo": "shingkid/electionguard-python",
"path": "/src/electionguard/data_store.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class ReadOnlyDataStore(Generic[T, U], Mapping):
"""
A readonly view to a Data store
"""
def __init__(self, data: DataStore[T, U]):
self._data: DataStore[T, U] = data
def __getitem__(self, key: T) -> Optional[U]:
return self._data.get(key)
def __len__(self) -> in... | code_fim | hard | {
"lang": "python",
"repo": "shingkid/electionguard-python",
"path": "/src/electionguard/data_store.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: catapult-project/catapult path: /third_party/google-endpoints/future/moves/dbm/__init__.py
from __future__ import absolute_import
from future.utils import PY3
<|fim_suffix|># Py3.3's dbm/__init__.py imports ndbm but doesn't expose it via __all__.
# In case some (badly written) code depends on db... | code_fim | medium | {
"lang": "python",
"repo": "catapult-project/catapult",
"path": "/third_party/google-endpoints/future/moves/dbm/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Py3.3's dbm/__init__.py imports ndbm but doesn't expose it via __all__.
# In case some (badly written) code depends on dbm.ndbm after import dbm,
# we simulate this:
if PY3:
from dbm import ndbm
else:
try:
from future.moves.dbm import ndbm
except ImportError:
ndbm = None<|fim... | code_fim | medium | {
"lang": "python",
"repo": "catapult-project/catapult",
"path": "/third_party/google-endpoints/future/moves/dbm/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ### visualizations
# create prettierplot object
p = PrettierPlot(chart_scale=chart_scale, plot_orientation="wide_standard")
# if boolean is passed to outliers_out_of_scope
if isinstance(outliers_out_of_scope, bool):
# if outliers_out_of_scope = True
if outliers_out_of_... | code_fim | hard | {
"lang": "python",
"repo": "petersontylerd/mlmachine",
"path": "/mlmachine/explore/eda_suite.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: petersontylerd/mlmachine path: /mlmachine/explore/eda_suite.py
port os
import sys
from prettierplot.plotter import PrettierPlot
from prettierplot import style
def eda_cat_target_cat_feat(self, feature, training_data=True, level_count_cap=50, color_map="viridis", legend_labels=None,
... | code_fim | hard | {
"lang": "python",
"repo": "petersontylerd/mlmachine",
"path": "/mlmachine/explore/eda_suite.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: petersontylerd/mlmachine path: /mlmachine/explore/eda_suite.py
directory.
"""
# dynamically choose training data objects or validation data objects
data, target, mlm_dtypes = self.training_or_validation_dataset(training_data)
### data summaries
## feature summary
# combin... | code_fim | hard | {
"lang": "python",
"repo": "petersontylerd/mlmachine",
"path": "/mlmachine/explore/eda_suite.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> redirect('/docs#Package_Developers', 301)<|fim_prefix|># repo: june07/packagecontrol.io path: /app/controllers/developers.py
from bottle import route, redirect
<|fim_middle|>@route('/docs/developers', name='developers')
def developers_controller():
| code_fim | medium | {
"lang": "python",
"repo": "june07/packagecontrol.io",
"path": "/app/controllers/developers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: june07/packagecontrol.io path: /app/controllers/developers.py
from bottle import route, redirect
<|fim_suffix|> redirect('/docs#Package_Developers', 301)<|fim_middle|>
@route('/docs/developers', name='developers')
def developers_controller():
| code_fim | medium | {
"lang": "python",
"repo": "june07/packagecontrol.io",
"path": "/app/controllers/developers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_no_permissions(self):
with self.assertRaises(PermissionDenied):
Permission.check_permissions(
requester=self.user, permissions=(permission_role_view,)
)
def test_with_permissions(self):
self.group.user_set.add(self.user)
sel... | code_fim | hard | {
"lang": "python",
"repo": "kyper999/mayan-edms",
"path": "/mayan/apps/permissions/tests/test_models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kyper999/mayan-edms path: /mayan/apps/permissions/tests/test_models.py
from __future__ import unicode_literals
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from django.core.exceptions import PermissionDenied
from django.test import TestCase
from us... | code_fim | medium | {
"lang": "python",
"repo": "kyper999/mayan-edms",
"path": "/mayan/apps/permissions/tests/test_models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with self.assertRaises(PermissionDenied):
Permission.check_permissions(
requester=self.user, permissions=(permission_role_view,)
)
def test_with_permissions(self):
self.group.user_set.add(self.user)
self.role.permissions.add(permission_r... | code_fim | hard | {
"lang": "python",
"repo": "kyper999/mayan-edms",
"path": "/mayan/apps/permissions/tests/test_models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from .graphic_selection import *
from .stream_reader import *
from .model_physics import *
from .chi2 import *
from .general import *
from .psd import *
from .manual_fitting import *
from .mcmc_addon import *<|fim_prefix|># repo: DimitriMisiak/package_red_magic path: /red_magic/__init__.py
#!/usr/bin/env... | code_fim | easy | {
"lang": "python",
"repo": "DimitriMisiak/package_red_magic",
"path": "/red_magic/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DimitriMisiak/package_red_magic path: /red_magic/__init__.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 7 10:03:57 2019
@author: misiak
"""
<|fim_suffix|>from .graphic_selection import *
from .stream_reader import *
from .model_physics import *
from .chi2 import *
fr... | code_fim | easy | {
"lang": "python",
"repo": "DimitriMisiak/package_red_magic",
"path": "/red_magic/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timsainb/avgn_paper path: /avgn/utils/general.py
# any snippits of code that don't fit elsewhere
import numpy as np
import pickle
import zipfile
from avgn.utils.paths import ensure_dir
from tqdm.autonotebook import tqdm
import matplotlib.pyplot as plt
from zipfile import BadZipFile
def prepar... | code_fim | medium | {
"lang": "python",
"repo": "timsainb/avgn_paper",
"path": "/avgn/utils/general.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(save_loc, "wb") as f:
pickle.dump(dict_, f, protocol=pickle.HIGHEST_PROTOCOL)
def rescale(X, out_min, out_max):
return out_min + (X - np.min(X)) * ((out_max - out_min) / (np.max(X) - np.min(X)))
def seconds_to_str(seconds):
""" converts a number of seconds to hours, minut... | code_fim | medium | {
"lang": "python",
"repo": "timsainb/avgn_paper",
"path": "/avgn/utils/general.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def zero_one_norm(x):
return (x - np.min(x)) / (np.max(x) - np.min(x))
def save_dict_pickle(dict_, save_loc):
with open(save_loc, "wb") as f:
pickle.dump(dict_, f, protocol=pickle.HIGHEST_PROTOCOL)
def rescale(X, out_min, out_max):
return out_min + (X - np.min(X)) * ((out_max - ou... | code_fim | medium | {
"lang": "python",
"repo": "timsainb/avgn_paper",
"path": "/avgn/utils/general.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def run_query(query, records, global_state=None, weights=None):
"""Executes query on the given set of records as a single sample.
Args:
query: A PrivateQuery to run.
records: An iterable containing records to pass to the query.
global_state: The current global state. If None, an initial ... | code_fim | medium | {
"lang": "python",
"repo": "tensorflow/privacy",
"path": "/tensorflow_privacy/privacy/dp_query/test_utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
A tuple (result, new_global_state) where "result" is the result of the
query and "new_global_state" is the updated global state.
"""
if not global_state:
global_state = query.initial_global_state()
params = query.derive_sample_params(global_state)
sample_state = query.init... | code_fim | hard | {
"lang": "python",
"repo": "tensorflow/privacy",
"path": "/tensorflow_privacy/privacy/dp_query/test_utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tensorflow/privacy path: /tensorflow_privacy/privacy/dp_query/test_utils.py
# Copyright 2019, The TensorFlow Authors.
#
# 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 | medium | {
"lang": "python",
"repo": "tensorflow/privacy",
"path": "/tensorflow_privacy/privacy/dp_query/test_utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: webclinic017/magnet-migrade path: /magnet/domain/trade/repository.py
import asyncio
import logging
from typing import Dict, Type
from .abc import Analyzer, BrokerImpl, TopicProvider
logger = logging.getLogger(__name__)
class BrokerRepository:
__brokers__: Dict[str, Type[BrokerImpl]] = {}
... | code_fim | medium | {
"lang": "python",
"repo": "webclinic017/magnet-migrade",
"path": "/magnet/domain/trade/repository.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class AnalyzersRepository:
__analyzers__: Dict[str, Type[Analyzer]] = {}
@classmethod
def register(cls, analyzer: Type[Analyzer]):
name = analyzer.get_name()
if name in cls.__analyzers__:
raise Exception()
cls.__analyzers__[name] = analyzer
return ... | code_fim | medium | {
"lang": "python",
"repo": "webclinic017/magnet-migrade",
"path": "/magnet/domain/trade/repository.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BoChenGroup/RAFnet path: /rnn_attention_model.py
eight_variable([self.opt.hidden_size_global*2 , self.opt.enc_k])
self.enc_W_v = self.weight_variable([self.opt.hidden_size_global*2 , self.opt.enc_v])
self.dec_W_q = self.weight_variable([self.opt.gener_hidden_size*2 , self.opt.... | code_fim | hard | {
"lang": "python",
"repo": "BoChenGroup/RAFnet",
"path": "/rnn_attention_model.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
gener_xh = tf.reshape(outputs_gener_xh,[self.opt.batch_size * self.opt.dimXg, self.opt.gener_hidden_size*2])
self.dec_xh_query = tf.reshape(tf.matmul(gener_xh, self.dec_W_q),[self.opt.batch_size, self.opt.dimXg, self.opt.dec_q])
self.att_xh_de = self.qk_Attention(self.dec_xh_qu... | code_fim | hard | {
"lang": "python",
"repo": "BoChenGroup/RAFnet",
"path": "/rnn_attention_model.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BoChenGroup/RAFnet path: /rnn_attention_model.py
.enc_W_q = self.weight_variable([self.opt.hidden_size_global*2 , self.opt.enc_q])
self.enc_W_k = self.weight_variable([self.opt.hidden_size_global*2 , self.opt.enc_k])
self.enc_W_v = self.weight_variable([self.opt.hidden_size_glob... | code_fim | hard | {
"lang": "python",
"repo": "BoChenGroup/RAFnet",
"path": "/rnn_attention_model.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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