text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> __version_name__ += " [%s]" % versionMeta if versionMeta else ""
except ImportError:
# Not generated by package.sh
pass<|fim_prefix|># repo: spiricn/DevUtils path: /du/__init__.py
__version__ = "1.11.0"
__version_name__ = __version__
try:
from du.VersionMeta import versionName... | code_fim | medium | {
"lang": "python",
"repo": "spiricn/DevUtils",
"path": "/du/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_export_svg_fallbackFont(self):
expectedPath = os.path.join(testDataDir, "expected_svgSaveFallback.svg")
drawBot.newDrawing()
drawBot.newPage(100, 100)
drawBot.fallbackFont("Courier")
drawBot.font("Times")
drawBot.text("a", (10, 10))
with... | code_fim | hard | {
"lang": "python",
"repo": "typemytype/drawbot",
"path": "/tests/testExport.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: typemytype/drawbot path: /tests/testExport.py
AndReturnSize(self, extension, **options):
with TempFile(suffix=extension) as tmp:
drawBot.saveImage(tmp.path, **options)
fileSize = os.stat(tmp.path).st_size
return fileSize
def test_with_drawing(self):
... | code_fim | hard | {
"lang": "python",
"repo": "typemytype/drawbot",
"path": "/tests/testExport.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: typemytype/drawbot path: /tests/testExport.py
):
drawBot.newDrawing()
self.assertEqual(drawBot.pageCount(), 0)
with drawBot.drawing():
for i in range(10):
drawBot.newPage()
drawBot.rect(10, 10, 10, 10)
self.assertEqua... | code_fim | hard | {
"lang": "python",
"repo": "typemytype/drawbot",
"path": "/tests/testExport.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [
{
'id': fields.cpe_norm('cpe23', cpe23.attrib['name']),
'prod': fields.cpe_norm('cpe23', cpe23.getparent().attrib['name']),
}
for cpe23 in root.iter('{*}cpe23-item')
]
def to_dict(self) -> dict:
retur... | code_fim | hard | {
"lang": "python",
"repo": "esedeerre/patton",
"path": "/patton/dal/product/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> __tablename__ = 'prod_reference'
id = Column(String, primary_key=True, default=fields.uuid)
prod_id = Column(String, ForeignKey('prod.id'))
href = Column(String)
description = Column(String)
def loader_map(root):
return [
{
'id': fields.uuid(),
... | code_fim | hard | {
"lang": "python",
"repo": "esedeerre/patton",
"path": "/patton/dal/product/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: esedeerre/patton path: /patton/dal/product/models.py
from sqlalchemy import Column, String, ForeignKey
from sqlalchemy.orm import relationship
from patton.dal.database import Base
from . import fields
class Prod(Base):
__tablename__ = 'prod'
id = Column(String, primary_key=True)
ti... | code_fim | hard | {
"lang": "python",
"repo": "esedeerre/patton",
"path": "/patton/dal/product/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gnibeil/pygrace path: /PyGrace/Extensions/latex_string.py
CONVERT = {
r'$\pm$': r'\f{Symbol}\c1\C\f{}',
r'$\aleph$': r'\f{Symbol}\c@\C\f{}',
r'$\ge$': r'\f{Symbol}\c3\C\f{}',
r'$\le$': r'\f{Symbol}\c#\C\f{}',
r'$\propto$': r'\f{Symbol}\c5\C\f{}',
r'$\in$': r'\f{Symbol}\cN\... | code_fim | hard | {
"lang": "python",
"repo": "gnibeil/pygrace",
"path": "/PyGrace/Extensions/latex_string.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = self
for (latex, grace) in SORTED_CONVERT:
result = result.replace(latex, grace)
return result
def __add__(self,other):
return str(self) + other
def __radd__(self,other):
return other + str(self)
if __name__ == '__main__':
s = La... | code_fim | hard | {
"lang": "python",
"repo": "gnibeil/pygrace",
"path": "/PyGrace/Extensions/latex_string.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bhuvi3/camera_trap_animal_classification path: /code/generate_mask_weights.py
import os
import numpy as np
import tensorflow as tf
def save_weights_resnet152_10channel():
# Initialize configuration
required_input_shape = (7, 7, 10, 64)
output_file_prefix = "resnet152_10channel"
... | code_fim | hard | {
"lang": "python",
"repo": "bhuvi3/camera_trap_animal_classification",
"path": "/code/generate_mask_weights.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_weights[:, :, 12:15, :] = input_layer_weights # Third image.
# Mask always uses newly initialized weights.
# Reassign new weights.
weights[0] = new_weights
# Save the new weights
np.save(os.path.join("..", 'data', ... | code_fim | hard | {
"lang": "python",
"repo": "bhuvi3/camera_trap_animal_classification",
"path": "/code/generate_mask_weights.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yosoyjay/ocean_data_gateway path: /ocean_data_gateway/readers/axds.py
+ f'[{self.kw["max_lon"]},{self.kw["max_lat"]}],' \
+ f'[{self.kw["min_lon"]},{self.kw["max_lat"]}],' \
+ f'[{self.kw["min_lon"]},{self.... | code_fim | hard | {
"lang": "python",
"repo": "yosoyjay/ocean_data_gateway",
"path": "/ocean_data_gateway/readers/axds.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> slicedict = {timekey: slice(self.kw['min_time'],self.kw['max_time'])}
_, index = np.unique(data[timekey], return_index=True)
data = data.isel({timekey: index}).sel(slicedict)
except Exception as e:
logger_axds.... | code_fim | hard | {
"lang": "python",
"repo": "yosoyjay/ocean_data_gateway",
"path": "/ocean_data_gateway/readers/axds.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> geospatial_lat_min, geospatial_lat_max = dataset['data']['min_lat'], dataset['data']['max_lat']
geospatial_lon_min, geospatial_lon_max = dataset['data']['min_lng'], dataset['data']['max_lng']
lines = \
f'''
{dataset_id}:
description: {label}
driver: opendap
args:
... | code_fim | hard | {
"lang": "python",
"repo": "yosoyjay/ocean_data_gateway",
"path": "/ocean_data_gateway/readers/axds.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #outputs, _ = pad_packed_sequence(outputs, batch_first=False)
#hidden = torch.tanh(self.fc(torch.cat((hidden[-1][-2,:,:], hidden[-1][-1,:,:]), dim = 1)))
# returning the last state of the hidden layer
return outputs, hidden
class GRU_ATTENTIONDecoder(nn.Module):
def __init__(self,
outpu... | code_fim | hard | {
"lang": "python",
"repo": "hec44/SCAN-reproduction",
"path": "/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hec44/SCAN-reproduction path: /models.py
import random
from typing import Tuple
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch import Tensor
import pdb
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
class LSTMEn... | code_fim | hard | {
"lang": "python",
"repo": "hec44/SCAN-reproduction",
"path": "/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
cachedproperty = lambda func: property(cache(func)) # noqa: E731
# make the type checker believe that `cachedproperty` is a type alias of `property`, which fixes IDE type hints and autocompletion
if TYPE_CHECKING:
cachedproperty = property<|fim_prefix|># repo: arcticdiv/nus_tools path: /nus_tools/u... | code_fim | hard | {
"lang": "python",
"repo": "arcticdiv/nus_tools",
"path": "/nus_tools/utils/misc.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arcticdiv/nus_tools path: /nus_tools/utils/misc.py
import functools
import itertools
from typing import Callable, Iterable, Iterator, List, Dict, Any, Tuple, TypeVar, TYPE_CHECKING
from .typing import TFuncAny
class dotdict(Dict[str, Any]):
def __getattr__(self, attr):
return self.... | code_fim | hard | {
"lang": "python",
"repo": "arcticdiv/nus_tools",
"path": "/nus_tools/utils/misc.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return functools.lru_cache(maxsize=None)(func) # type: ignore
cachedproperty = lambda func: property(cache(func)) # noqa: E731
# make the type checker believe that `cachedproperty` is a type alias of `property`, which fixes IDE type hints and autocompletion
if TYPE_CHECKING:
cachedproperty = p... | code_fim | hard | {
"lang": "python",
"repo": "arcticdiv/nus_tools",
"path": "/nus_tools/utils/misc.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Section(SimpleAbstract):
class Meta:
verbose_name = u'Раздел'
verbose_name_plural = u'Разделы'<|fim_prefix|># repo: Guest007/vgid path: /apps/events/models.py
# -*- coding: utf-8 -*-
from django.db import models
from core.models import (ParentModel, SimpleAbstract, Image, Gall... | code_fim | hard | {
"lang": "python",
"repo": "Guest007/vgid",
"path": "/apps/events/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Guest007/vgid path: /apps/events/models.py
# -*- coding: utf-8 -*-
from django.db import models
from core.models import (ParentModel, SimpleAbstract, Image, Gallery,
get_file_name)
from django.utils.translation import ugettext, ugettext_lazy as _
from datetime import date... | code_fim | medium | {
"lang": "python",
"repo": "Guest007/vgid",
"path": "/apps/events/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Section(SimpleAbstract):
class Meta:
verbose_name = u'Раздел'
verbose_name_plural = u'Разделы'<|fim_prefix|># repo: Guest007/vgid path: /apps/events/models.py
# -*- coding: utf-8 -*-
from django.db import models
from core.models import (ParentModel, SimpleAbstract, Image, Galle... | code_fim | hard | {
"lang": "python",
"repo": "Guest007/vgid",
"path": "/apps/events/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 사용자가 6개의 번호를 뽑는다.
user_list = user_random()
print "[+] 결과: %s" % user_list
global match3
global match4
global match5
global match6
match3 = 0
match4 = 0
match5 = 0
match6 = 0
# computer는 아래의 숫자만큼 번호를 다시 뽑는다.
tickets_sold = 8145060
print "[+] 계산: 1... | code_fim | hard | {
"lang": "python",
"repo": "5l1v3r1/lotto",
"path": "/get_random_generate_number.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def calculate():
# 사용자가 6개의 번호를 뽑는다.
user_list = user_random()
print "[+] 결과: %s" % user_list
global match3
global match4
global match5
global match6
match3 = 0
match4 = 0
match5 = 0
match6 = 0
# computer는 아래의 숫자만큼 번호를 다시 뽑는다.
tickets_sold = 8145060
... | code_fim | hard | {
"lang": "python",
"repo": "5l1v3r1/lotto",
"path": "/get_random_generate_number.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 5l1v3r1/lotto path: /get_random_generate_number.py
#!/usr/local/bin/python2.7
# -*- coding: utf-8 -*-
__author__ = 'https://github.com/password123456/'
import random
import numpy as np
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
import requests
import urllib
import urllib2
import json... | code_fim | hard | {
"lang": "python",
"repo": "5l1v3r1/lotto",
"path": "/get_random_generate_number.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from tests import test_editor
if __name__ == '__main__':
# test_editor()
# unittest.main()
test_editor.TestEditor()
print("run tests ")<|fim_prefix|># repo: sasujadhav1/dictionary path: /pythoncode/pyamidict/test_runner.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# tests/test_runner.p... | code_fim | medium | {
"lang": "python",
"repo": "sasujadhav1/dictionary",
"path": "/pythoncode/pyamidict/test_runner.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""Convenience wrapper for running tests."""
from tests import test_editor
if __name__ == '__main__':
# test_editor()
# unittest.main()
test_editor.TestEditor()
print("run tests ")<|fim_prefix|># repo: sasujadhav1/dictionary path: /pythoncode/pyamidict/test_runner.py
#!/usr/bin/env python... | code_fim | easy | {
"lang": "python",
"repo": "sasujadhav1/dictionary",
"path": "/pythoncode/pyamidict/test_runner.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sasujadhav1/dictionary path: /pythoncode/pyamidict/test_runner.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# tests/test_runner.py
import unittest
import numpy as np
<|fim_suffix|>from tests import test_editor
if __name__ == '__main__':
# test_editor()
# unittest.main()
test_edit... | code_fim | easy | {
"lang": "python",
"repo": "sasujadhav1/dictionary",
"path": "/pythoncode/pyamidict/test_runner.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def onZwaveMessage(self, message):
self.cbLog("debug", "onZwaveMessage, message: " + str(message))
if message["content"] == "init":
self.updateTime = 0
self.lastUpdateTime = time.time()
# Energy - KWh
cmd = {"id": self.id,
... | code_fim | hard | {
"lang": "python",
"repo": "ContinuumBridge/aeotec_heavy_duty_switch",
"path": "/adaptor_a.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ContinuumBridge/aeotec_heavy_duty_switch path: /adaptor_a.py
#!/usr/bin/env python
# zwave_power_meter_socket.py
# Copyright (C) ContinuumBridge Limited, 2014 - All Rights Reserved
# Unauthorized copying of this file, via any medium is strictly prohibited
# Proprietary and confidential
# Written ... | code_fim | hard | {
"lang": "python",
"repo": "ContinuumBridge/aeotec_heavy_duty_switch",
"path": "/adaptor_a.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def onAppInit(self, message):
self.cbLog("debug", "onAppInit, message: " + str(message))
resp = {"name": self.name,
"id": self.id,
"status": "ok",
"service": [{"characteristic": "energy", "interval": INTERVAL, "type": "switch"},
... | code_fim | hard | {
"lang": "python",
"repo": "ContinuumBridge/aeotec_heavy_duty_switch",
"path": "/adaptor_a.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Arnapappo/Progetto-I19 path: /backend/i19_backend/backend/migrations/0003_auto_20190618_1937.py
# Generated by Django 2.2.2 on 2019-06-18 19:37
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.AddField(
model_name='prodottoordinato',
... | code_fim | medium | {
"lang": "python",
"repo": "Arnapappo/Progetto-I19",
"path": "/backend/i19_backend/backend/migrations/0003_auto_20190618_1937.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name='prodottoordinato',
name='id_tavolo',
field=models.CharField(default=131, max_length=5),
preserve_default=False,
),
migrations.DeleteModel(
name='Ordinazione',
),
... | code_fim | medium | {
"lang": "python",
"repo": "Arnapappo/Progetto-I19",
"path": "/backend/i19_backend/backend/migrations/0003_auto_20190618_1937.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: landlab/landlab path: /tests/components/pet/test_pet.py
"""
Unit tests for landlab.components.pet.potential_evapotranspiration_field
"""
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal
(_SHAPE, _SPACING, _ORIGIN) = ((20, 20), (10e0, 10e0), (0.0, 0.0))
_ARGS =... | code_fim | hard | {
"lang": "python",
"repo": "landlab/landlab",
"path": "/tests/components/pet/test_pet.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_grid_x_extent(pet):
assert pet.grid.extent[1] == (_SHAPE[1] - 1) * _SPACING[1]
def test_grid_y_extent(pet):
assert pet.grid.extent[0] == (_SHAPE[0] - 1) * _SPACING[0]
def test_field_getters(pet):
for name in pet.grid["node"]:
field = pet.grid["node"][name]
assert ... | code_fim | hard | {
"lang": "python",
"repo": "landlab/landlab",
"path": "/tests/components/pet/test_pet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/snuba path: /tests/migrations/test_groups.py
from snuba.migrations.groups import MigrationGroup, get_group_loader
<|fim_suffix|> for group in MigrationGroup:
group_loader = get_group_loader(group)
for migration in group_loader.get_migrations():
group_lo... | code_fim | easy | {
"lang": "python",
"repo": "pombredanne/snuba",
"path": "/tests/migrations/test_groups.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for group in MigrationGroup:
group_loader = get_group_loader(group)
for migration in group_loader.get_migrations():
group_loader.load_migration(migration)<|fim_prefix|># repo: pombredanne/snuba path: /tests/migrations/test_groups.py
from snuba.migrations.groups import Migr... | code_fim | easy | {
"lang": "python",
"repo": "pombredanne/snuba",
"path": "/tests/migrations/test_groups.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if request.method == 'GET':
forms = []
songs = Song.query.all()
for song in songs:
form = EditSongForm()
form.id.data = song.id
form.name.data = song.name
form.artist.data = song.artist
form.country.data = song.country
form.length.data = song.length
form.flag.data = song.count... | code_fim | medium | {
"lang": "python",
"repo": "Ploddish/eurovision-webapp",
"path": "/Eurovision/Eurovision/app/admin/routes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ploddish/eurovision-webapp path: /Eurovision/Eurovision/app/admin/routes.py
from flask import render_template, request
from flask_login import login_required
from app.admin import bp
from app.models import Song
from app.admin.forms import EditSongForm
<|fim_suffix|> return render_template('admin... | code_fim | medium | {
"lang": "python",
"repo": "Ploddish/eurovision-webapp",
"path": "/Eurovision/Eurovision/app/admin/routes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cattale93/pytorch_self_supervised_learning path: /Lib/Datasets/runner/cut_in_patches.py
import os
from Lib.Datasets.processing.utility import cut_tiles, cut_tiles_radar
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #
"""
A... | code_fim | hard | {
"lang": "python",
"repo": "cattale93/pytorch_self_supervised_learning",
"path": "/Lib/Datasets/runner/cut_in_patches.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> cut_tiles(data_orig, dest_path, '1', patch_size, max_n_bad_pix, overlapping, padding)
cut_tiles_radar(data_orig, dest_path_trans, '1', patch_size, max_n_bad_pix, overlapping, padding)
print(typ)
print(dest_path)
for i in os.listdir(dest_path):
if '.' not... | code_fim | medium | {
"lang": "python",
"repo": "cattale93/pytorch_self_supervised_learning",
"path": "/Lib/Datasets/runner/cut_in_patches.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
try:
first_number = int(input("Введите положительное целое число: "))
second_number = int(input("Введите положительное целое число: "))
if second_number == 0:
raise OwnError("На ноль делить нельзя!")
else:
result = first_number / second_number
except ValueError:
print(... | code_fim | medium | {
"lang": "python",
"repo": "kati-Ist/python_geekbrains",
"path": "/lesson8/task2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kati-Ist/python_geekbrains path: /lesson8/task2.py
class OwnError(Exception):
def __init__(self, txt):
<|fim_suffix|>
try:
first_number = int(input("Введите положительное целое число: "))
second_number = int(input("Введите положительное целое число: "))
if second_number == 0:
... | code_fim | medium | {
"lang": "python",
"repo": "kati-Ist/python_geekbrains",
"path": "/lesson8/task2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ride(gamestate, upgrade):
newstate = gamestate
return newstate<|fim_prefix|># repo: ysjin94/Slaying-the-Spire path: /curse_card.py
#This is curse_card
import help_function
#Pride : Innate, Ate the end of turn, put a copy of this card on top of your draw pile. Exhuast
<|fim_middle|># Innat... | code_fim | medium | {
"lang": "python",
"repo": "ysjin94/Slaying-the-Spire",
"path": "/curse_card.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ysjin94/Slaying-the-Spire path: /curse_card.py
#This is curse_card
import help_function
#Pride : Innate, Ate the end of turn, put a copy of this card on top of your draw pile. Exhuast
<|fim_suffix|>ride(gamestate, upgrade):
newstate = gamestate
return newstate<|fim_middle|># Innat... | code_fim | medium | {
"lang": "python",
"repo": "ysjin94/Slaying-the-Spire",
"path": "/curse_card.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: echr-od/ECHR-OD_process path: /tests/test_deploy.py
from echr.steps.deploy import parse_server_parameters, runner
class TestRunner:
@staticmethod
def test_params_none():
ok, params = parse_server_parameters(params_str=None)
assert not ok
assert params == []
... | code_fim | hard | {
"lang": "python",
"repo": "echr-od/ECHR-OD_process",
"path": "/tests/test_deploy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> rc = runner(params_str="user=foo password=bar", build="example", title='test', detach=False, force=False, update=False)
assert rc == 2
@staticmethod
def test_running_exception_params():
rc = runner(params_str=None, build="example", title='test', detach=False, force=False, ... | code_fim | hard | {
"lang": "python",
"repo": "echr-od/ECHR-OD_process",
"path": "/tests/test_deploy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>oll[5:7]
branch = branch_dict[t]
return year, branch<|fim_prefix|># repo: variable17/aidns path: /app/auth/functions.py
def parse(roll):
branch_dict = {
'00': 'CE',
<|fim_middle|> '10': 'CSE',
'13': 'IT',
'30': 'EE',
'43': 'ME'
}
year = '20' + ro... | code_fim | medium | {
"lang": "python",
"repo": "variable17/aidns",
"path": "/app/auth/functions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: variable17/aidns path: /app/auth/functions.py
def parse(roll):
branch_dict = {
'00': 'CE',
<|fim_suffix|>oll[5:7]
branch = branch_dict[t]
return year, branch<|fim_middle|> '10': 'CSE',
'13': 'IT',
'30': 'EE',
'43': 'ME'
}
year = '20' + ro... | code_fim | medium | {
"lang": "python",
"repo": "variable17/aidns",
"path": "/app/auth/functions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>websocket_urlpatterns = [
re_path(r"ws/planning/(?P<topic_name>\w+)/$", consumers.PlanningConsumer.as_asgi()),
]<|fim_prefix|># repo: mattiaslundberg/planning_poker path: /planning/routing.py
from django.urls import re_path
<|fim_middle|>from . import consumers
| code_fim | easy | {
"lang": "python",
"repo": "mattiaslundberg/planning_poker",
"path": "/planning/routing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mattiaslundberg/planning_poker path: /planning/routing.py
from django.urls import re_path
<|fim_suffix|>websocket_urlpatterns = [
re_path(r"ws/planning/(?P<topic_name>\w+)/$", consumers.PlanningConsumer.as_asgi()),
]<|fim_middle|>from . import consumers
| code_fim | easy | {
"lang": "python",
"repo": "mattiaslundberg/planning_poker",
"path": "/planning/routing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aand1/vigir_behavior_synthesis path: /vigir_synthesis_manager/src/vigir_synthesis_manager/behavior_synthesis_client.py
#! /usr/bin/env python
import rospy
import actionlib
from vigir_synthesis_msgs.msg import *
def behavior_synthesis_client(system, goals, initial_conditions):
'''...'''
... | code_fim | hard | {
"lang": "python",
"repo": "Aand1/vigir_behavior_synthesis",
"path": "/vigir_synthesis_manager/src/vigir_synthesis_manager/behavior_synthesis_client.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Fill ot any options (all False by default).
action_goal.synthesis_options = SynthesisOptions()
# Send the goal to the action server.
client.send_goal(action_goal)
# Wait for the server to finish performing the action.
client.wait_for_result()
return client.get_result()
if... | code_fim | hard | {
"lang": "python",
"repo": "Aand1/vigir_behavior_synthesis",
"path": "/vigir_synthesis_manager/src/vigir_synthesis_manager/behavior_synthesis_client.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {
'ua': correct_edges,
'la': correct_labels,
'total': total,
'uas': correct_edges / total,
'las': correct_labels / total
}<|fim_prefix|># repo: andersjo/hals path: /hals/transition_parser/performance.py
def measure_performance(sentences, parses):
... | code_fim | hard | {
"lang": "python",
"repo": "andersjo/hals",
"path": "/hals/transition_parser/performance.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andersjo/hals path: /hals/transition_parser/performance.py
def measure_performance(sentences, parses):
correct_labels = 0
correct_edges = 0
total = 0
<|fim_suffix|> return {
'ua': correct_edges,
'la': correct_labels,
'total': total,
'uas': correct_e... | code_fim | hard | {
"lang": "python",
"repo": "andersjo/hals",
"path": "/hals/transition_parser/performance.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: spacekitcat/reinforcement-learning-tic-tac-toe path: /rendering/display_user_input_menu.py
import qprompt
def create_menu(node_list):
<|fim_suffix|>def display_user_input_menu(root):
menu = create_menu(root.get_children())
return menu.show(returns="desc", header=str.format("Turn {}, {} to mo... | code_fim | medium | {
"lang": "python",
"repo": "spacekitcat/reinforcement-learning-tic-tac-toe",
"path": "/rendering/display_user_input_menu.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> menu = create_menu(root.get_children())
return menu.show(returns="desc", header=str.format("Turn {}, {} to move", root.get_move_count(), root.get_player()))<|fim_prefix|># repo: spacekitcat/reinforcement-learning-tic-tac-toe path: /rendering/display_user_input_menu.py
import qprompt
def create_menu(... | code_fim | easy | {
"lang": "python",
"repo": "spacekitcat/reinforcement-learning-tic-tac-toe",
"path": "/rendering/display_user_input_menu.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def display_user_input_menu(root):
menu = create_menu(root.get_children())
return menu.show(returns="desc", header=str.format("Turn {}, {} to move", root.get_move_count(), root.get_player()))<|fim_prefix|># repo: spacekitcat/reinforcement-learning-tic-tac-toe path: /rendering/display_user_input_menu.... | code_fim | easy | {
"lang": "python",
"repo": "spacekitcat/reinforcement-learning-tic-tac-toe",
"path": "/rendering/display_user_input_menu.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gauravjain2/opennem path: /opennem/db/migrations/versions/d130be833a0c_total_demand_on_balancing_summary_per_.py
# pylint: disable=no-member
"""
Total demand on balancing summary per region
Revision ID: d130be833a0c
Revises: 1057033fe1ea
Create Date: 2021-01-21 16:54:01.264342
"""
import sqlalc... | code_fim | medium | {
"lang": "python",
"repo": "gauravjain2/opennem",
"path": "/opennem/db/migrations/versions/d130be833a0c_total_demand_on_balancing_summary_per_.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def downgrade() -> None:
op.drop_column("balancing_summary", "demand_total")<|fim_prefix|># repo: gauravjain2/opennem path: /opennem/db/migrations/versions/d130be833a0c_total_demand_on_balancing_summary_per_.py
# pylint: disable=no-member
"""
Total demand on balancing summary per region
<|fim_middl... | code_fim | hard | {
"lang": "python",
"repo": "gauravjain2/opennem",
"path": "/opennem/db/migrations/versions/d130be833a0c_total_demand_on_balancing_summary_per_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def generate_suit(self):
return self.__generate_suit()
def __generate_suit(self):
card_set = set(["Ace", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "Jack", "Queen", "King"])
suit_set = set()
for suit_value in card_set:
card_value = Card(self... | code_fim | medium | {
"lang": "python",
"repo": "YazzyYaz/codinginterviews",
"path": "/practice_problems/oop/deck_of_cards.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> card_set = set(["Ace", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "Jack", "Queen", "King"])
suit_set = set()
for suit_value in card_set:
card_value = Card(self.suit_type, suit_value)
suit_set.add(card_value)
return suit_set
class Card(objec... | code_fim | hard | {
"lang": "python",
"repo": "YazzyYaz/codinginterviews",
"path": "/practice_problems/oop/deck_of_cards.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YazzyYaz/codinginterviews path: /practice_problems/oop/deck_of_cards.py
import random
class Deck(object):
def __init__(self, special_cards=False):
self.cards = self.generate_cards()
def get_cards(self):
return self.cards
def generate_cards(self):
return sel... | code_fim | hard | {
"lang": "python",
"repo": "YazzyYaz/codinginterviews",
"path": "/practice_problems/oop/deck_of_cards.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sxfang32/meiduo_29 path: /meiduo_mall/meiduo_mall/apps/goods/utils.py
def get_breadcrumb(cat3):
"""包装指定类别的面包屑"""
cat1 = cat3.parent.parent
# 给一级类别定义URL属性
cat1.url = cat1.goodschannel_set.all()[0].url
<|fim_suffix|> 'cat2': cat3.parent,
'cat3': cat3
}
return br... | code_fim | medium | {
"lang": "python",
"repo": "sxfang32/meiduo_29",
"path": "/meiduo_mall/meiduo_mall/apps/goods/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'cat2': cat3.parent,
'cat3': cat3
}
return breadcrumb<|fim_prefix|># repo: sxfang32/meiduo_29 path: /meiduo_mall/meiduo_mall/apps/goods/utils.py
def get_breadcrumb(cat3):
"""包装指定类别的面包屑"""
cat1 = cat3.parent.par<|fim_middle|>ent
# 给一级类别定义URL属性
cat1.url = cat1.goodschan... | code_fim | medium | {
"lang": "python",
"repo": "sxfang32/meiduo_29",
"path": "/meiduo_mall/meiduo_mall/apps/goods/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def parse_item(self, response):
yield {
"title": response.xpath("//div[@class='col-sm-6 product_main']/h1/text()").get(),
"price": response.xpath("//p[@class='price_color']/text()").get()
}<|fim_prefix|># repo: Hegelim/web_crawler path: /bookbug/bookbug/spiders... | code_fim | hard | {
"lang": "python",
"repo": "Hegelim/web_crawler",
"path": "/bookbug/bookbug/spiders/book.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> yield {
"title": response.xpath("//div[@class='col-sm-6 product_main']/h1/text()").get(),
"price": response.xpath("//p[@class='price_color']/text()").get()
}<|fim_prefix|># repo: Hegelim/web_crawler path: /bookbug/bookbug/spiders/book.py
import scrapy
from scrapy.l... | code_fim | hard | {
"lang": "python",
"repo": "Hegelim/web_crawler",
"path": "/bookbug/bookbug/spiders/book.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hegelim/web_crawler path: /bookbug/bookbug/spiders/book.py
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
<|fim_suffix|> def parse_item(self, response):
yield {
"title": response.xpath("//div[@class='col-sm-6 prod... | code_fim | hard | {
"lang": "python",
"repo": "Hegelim/web_crawler",
"path": "/bookbug/bookbug/spiders/book.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aleph-im/py-libp2p path: /libp2p/tools/pubsub/floodsub_integration_test_settings.py
# type: ignore
# To add typing to this module, it's better to do it after refactoring test cases into classes
import asyncio
import pytest
from libp2p.tools.constants import FLOODSUB_PROTOCOL_ID, LISTEN_MADDR
f... | code_fim | hard | {
"lang": "python",
"repo": "aleph-im/py-libp2p",
"path": "/libp2p/tools/pubsub/floodsub_integration_test_settings.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Allow time for subscribing before continuing
await asyncio.sleep(0.01)
# Step 3) Publish messages
topics_in_msgs_ordered = []
messages = obj["messages"]
tasks_publish = []
for msg in messages:
topics = msg["topics"]
data = msg["data"]
node_id = msg["... | code_fim | hard | {
"lang": "python",
"repo": "aleph-im/py-libp2p",
"path": "/libp2p/tools/pubsub/floodsub_integration_test_settings.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> tasks_topic = []
tasks_topic_data = []
for topic, node_ids in topic_map.items():
for node_id in node_ids:
tasks_topic.append(pubsub_map[node_id].subscribe(topic))
tasks_topic_data.append((node_id, topic))
tasks_topic.append(asyncio.sleep(2))
# Gather is... | code_fim | hard | {
"lang": "python",
"repo": "aleph-im/py-libp2p",
"path": "/libp2p/tools/pubsub/floodsub_integration_test_settings.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>text = "{} + {} = {}".format(a, b, calcSum)
print(text)<|fim_prefix|># repo: hamburgcodingschool/L2C-1903 path: /lesson 1/p4-text format.py
# text formatting
name = "Baby Joe"
age = 5
greeting = "hello my name is {} and I am {} years old".format(name, age)
print(greeting)
<|fim_middle|>a = 7
b = 3
... | code_fim | easy | {
"lang": "python",
"repo": "hamburgcodingschool/L2C-1903",
"path": "/lesson 1/p4-text format.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hamburgcodingschool/L2C-1903 path: /lesson 1/p4-text format.py
# text formatting
name = "Baby Joe"
age = 5
greeting = "hello my name is {} and I am {} years old".format(name, age)
print(greeting)
a = 7
b = 3
<|fim_suffix|>text = "{} + {} = {}".format(a, b, calcSum)
print(text)<|fim_middle|>... | code_fim | easy | {
"lang": "python",
"repo": "hamburgcodingschool/L2C-1903",
"path": "/lesson 1/p4-text format.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>pec=ValueSizeConstraint(1, 9))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipdcSystemType.setStatus('current')
ipdcSystemID = MibScalar((1, 3, 6, 1, 4, 1, 2158, 5, 1, 2, 1, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 24))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipdc... | code_fim | hard | {
"lang": "python",
"repo": "agustinhenze/mibs.snmplabs.com",
"path": "/pysnmp/SALIX-MGMCP-MIB.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: agustinhenze/mibs.snmplabs.com path: /pysnmp/SALIX-MGMCP-MIB.py
#
# PySNMP MIB module SALIX-MGMCP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SALIX-MGMCP-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:52:14 2019
# On host DAVWANG4-M-1475 platfo... | code_fim | hard | {
"lang": "python",
"repo": "agustinhenze/mibs.snmplabs.com",
"path": "/pysnmp/SALIX-MGMCP-MIB.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def each_statement_in_batch_uses_proper_timestamp_test(self):
""" Test that each statement will be executed with its own timestamp """
session = self.prepare()
session.execute("""
BEGIN BATCH
INSERT INTO users (id, firstname, lastname) VALUES (0, 'Jack',... | code_fim | hard | {
"lang": "python",
"repo": "dkua/cassandra-dtest",
"path": "/batch_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dkua/cassandra-dtest path: /batch_test.py
import time
from assertions import assert_invalid, assert_unavailable
from dtest import Tester
from cassandra import ConsistencyLevel, Timeout
from cassandra.query import SimpleStatement
class TestBatch(Tester):
def counter_batch_accepts_counter_mu... | code_fim | hard | {
"lang": "python",
"repo": "dkua/cassandra-dtest",
"path": "/batch_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _test_fused_weighted_sum(test_case, shape, n, device, dtype):
inputs = [np.random.randn(*shape) for _ in range(n)]
init_grad = np.random.randn(*shape)
weights = [random.random() for _ in range(n)]
alpha = random.random()
out, grads = _fused_weighted_sum(inputs, weights, alpha, ini... | code_fim | hard | {
"lang": "python",
"repo": "Oneflow-Inc/oneflow",
"path": "/python/oneflow/test/modules/test_fused_weighted_sum.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _test_fused_weighted_sum(test_case, shape, n, device, dtype):
inputs = [np.random.randn(*shape) for _ in range(n)]
init_grad = np.random.randn(*shape)
weights = [random.random() for _ in range(n)]
alpha = random.random()
out, grads = _fused_weighted_sum(inputs, weights, alpha, init... | code_fim | hard | {
"lang": "python",
"repo": "Oneflow-Inc/oneflow",
"path": "/python/oneflow/test/modules/test_fused_weighted_sum.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Oneflow-Inc/oneflow path: /python/oneflow/test/modules/test_fused_weighted_sum.py
"""
Copyright 2020 The OneFlow 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 a copy of... | code_fim | hard | {
"lang": "python",
"repo": "Oneflow-Inc/oneflow",
"path": "/python/oneflow/test/modules/test_fused_weighted_sum.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> driver.get(url)
time.sleep(2 + random.random())
drop_down = Select(driver.find_element_by_class_name("drop-down__select"))
drop_down.select_by_value("newest")
time.sleep(1 + random.random())
drop_down.select_by_value("newest")
time.sleep(1 + random.random())
soup = Beautifu... | code_fim | hard | {
"lang": "python",
"repo": "rheembranson/Web_Scraping_Customer_Reviews",
"path": "/homedepot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rheembranson/Web_Scraping_Customer_Reviews path: /homedepot.py
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException, TimeoutException
from bs4 import BeautifulSoup
import tqdm
import pandas as pd
import re
im... | code_fim | hard | {
"lang": "python",
"repo": "rheembranson/Web_Scraping_Customer_Reviews",
"path": "/homedepot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sorapon/pointnet path: /chainer_pointnet/models/kdcontextnet/kdcontextnet_seg.py
import numpy
import chainer
from chainer import functions
from chainer import links
from chainer import reporter
from chainer_pointnet.models.conv_block import ConvBlock
from chainer_pointnet.models.kdcontextnet.kd... | code_fim | hard | {
"lang": "python",
"repo": "sorapon/pointnet",
"path": "/chainer_pointnet/models/kdcontextnet/kdcontextnet_seg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> h = self.calc(x)
cls_loss = functions.softmax_cross_entropy(h, t)
# reporter.report({'cls_loss': cls_loss}, self)
loss = cls_loss
reporter.report({'loss': loss}, self)
if self.compute_accuracy:
acc = functions.accuracy(h, t)
reporter.... | code_fim | hard | {
"lang": "python",
"repo": "sorapon/pointnet",
"path": "/chainer_pointnet/models/kdcontextnet/kdcontextnet_seg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __call__(self, x, t):
h = self.calc(x)
cls_loss = functions.softmax_cross_entropy(h, t)
# reporter.report({'cls_loss': cls_loss}, self)
loss = cls_loss
reporter.report({'loss': loss}, self)
if self.compute_accuracy:
acc = functions.accura... | code_fim | hard | {
"lang": "python",
"repo": "sorapon/pointnet",
"path": "/chainer_pointnet/models/kdcontextnet/kdcontextnet_seg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ToucanToco/peakina path: /peakina/readers/xml.py
"""
Module to add xml support
"""
from typing import Any, cast
import jq
import pandas as pd
import xmltodict
PdDatalist = list[dict[str, Any]]
PdDatadict = dict[str, list[Any]]
<|fim_suffix|>
def read_xml(
filepath: str,
encoding: str =... | code_fim | hard | {
"lang": "python",
"repo": "ToucanToco/peakina",
"path": "/peakina/readers/xml.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def read_xml(
filepath: str,
encoding: str = "utf-8",
preview_offset: int = 0,
preview_nrows: int | None = None,
filter: str | None = None,
) -> pd.DataFrame:
data = xmltodict.parse(open(filepath).read(), encoding=encoding)
if filter is not None:
data = transform_with_j... | code_fim | hard | {
"lang": "python",
"repo": "ToucanToco/peakina",
"path": "/peakina/readers/xml.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/adjectives/_partial.py
#calss header
class _PARTIAL():
def __init__(self,):
<|fim_suffix|> self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.specie = 'adjectives'
def run(self, obj1, obj2):
self.jsondata[obj... | code_fim | hard | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/adjectives/_partial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: toru-ver4/sample_code path: /ty_lib/light.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# 概要
光に関するモジュール
# 使い方
# references
these data have been downloaded from following site.
[Munsell Color Science Laboratory](https://www.rit.edu/cos/colorscience/rc_useful_data.php)
"""
import os
im... | code_fim | hard | {
"lang": "python",
"repo": "toru-ver4/sample_code",
"path": "/ty_lib/light.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
# brief
return (wavelength, spectrum) pair.
# source
Selected Colorimetric Tables(cie)
http://www.cie.co.at/index.php/LEFTMENUE/DOWNLOADS
"""
filename = os.path.dirname(os.path.abspath(__file__))\
+ os.path.normpath("/data/d65_spectrum.csv")
data = np.loadt... | code_fim | hard | {
"lang": "python",
"repo": "toru-ver4/sample_code",
"path": "/ty_lib/light.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fengcolin/cloudify-netconf-plugin path: /tests/test_netconf_connection.py
# Copyright (c) 2015 GigaSpaces Technologies Ltd. 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... | code_fim | hard | {
"lang": "python",
"repo": "fengcolin/cloudify-netconf-plugin",
"path": "/tests/test_netconf_connection.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with mock.patch.object(
paramiko, 'SSHClient', return_value=will_be_ssh
) as mock_ssh_client:
with mock.patch.object(
paramiko, 'AutoAddPolicy', return_value="I'm policy"
) as mock_policy:
netconf = netconf_connection.conn... | code_fim | hard | {
"lang": "python",
"repo": "fengcolin/cloudify-netconf-plugin",
"path": "/tests/test_netconf_connection.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, d=None, **kwargs):
if d is None:
d = {}
if kwargs:
d.update(**kwargs)
for k, v in d.items():
setattr(self, k, v)
# Class attributes
for k in self.__class__.__dict__.keys():
if not (k.startswith('... | code_fim | medium | {
"lang": "python",
"repo": "intel-analytics/BigDL",
"path": "/python/nano/src/bigdl/nano/automl/utils/edict.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: intel-analytics/BigDL path: /python/nano/src/bigdl/nano/automl/utils/edict.py
#
# Copyright 2016 The BigDL 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": "intel-analytics/BigDL",
"path": "/python/nano/src/bigdl/nano/automl/utils/edict.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zerolfx/eoj3 path: /account/migrations/0009_auto_20170908_1652.py
# -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-09-08 16:52
from __future__ import unicode_literals
from django.db import migrations, models
<|fim_suffix|> dependencies = [
('account', '0008_auto_20170827_... | code_fim | medium | {
"lang": "python",
"repo": "zerolfx/eoj3",
"path": "/account/migrations/0009_auto_20170908_1652.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='user',
name='magic',
field=models.CharField(blank=True, choices=[('red', 'Red'), ('green', 'Green'), ('teal', 'Teal'), ('blue', 'Blue'), ('purple', 'Purple'), ('orange', 'Orange'), ('grey', 'Grey')], max_leng... | code_fim | medium | {
"lang": "python",
"repo": "zerolfx/eoj3",
"path": "/account/migrations/0009_auto_20170908_1652.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('account', '0008_auto_20170827_1517'),
]
operations = [
migrations.AlterField(
model_name='user',
name='magic',
field=models.CharField(blank=True, choices=[('red', 'Red'), ('green', 'Green'), ('teal', 'Teal'), ('blue', 'Blu... | code_fim | medium | {
"lang": "python",
"repo": "zerolfx/eoj3",
"path": "/account/migrations/0009_auto_20170908_1652.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: microsoftgraph/msgraph-sdk-python path: /msgraph/generated/models/delegated_admin_relationship_request.py
from __future__ import annotations
import datetime
from dataclasses import dataclass, field
from kiota_abstractions.serialization import Parsable, ParseNode, SerializationWriter
from typing i... | code_fim | hard | {
"lang": "python",
"repo": "microsoftgraph/msgraph-sdk-python",
"path": "/msgraph/generated/models/delegated_admin_relationship_request.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def serialize(self,writer: SerializationWriter) -> None:
"""
Serializes information the current object
Args:
writer: Serialization writer to use to serialize this model
"""
if not writer:
raise TypeError("writer cannot be null.")
... | code_fim | hard | {
"lang": "python",
"repo": "microsoftgraph/msgraph-sdk-python",
"path": "/msgraph/generated/models/delegated_admin_relationship_request.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FINESCE/HybridCloudDataManagement path: /at-rest encryption/src/decrypter.py
# Copyright (c) 2015, Alex Roig Dominguez, La Salle URL
#
# 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 th... | code_fim | hard | {
"lang": "python",
"repo": "FINESCE/HybridCloudDataManagement",
"path": "/at-rest encryption/src/decrypter.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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