text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>
def pip_sync(requirements_file, venv_path, module, proxy):
pip = venv_path / "bin/pip"
pip_args = ["--timeout=60"]
if proxy:
pip_args.append(f"--proxy={quote(proxy)}")
module.run_command(
[pip, "install", "--quiet", "--upgrade", *pip_args, "pip-tools"],
check_rc=Tr... | code_fim | hard | {
"lang": "python",
"repo": "dimagi/commcare-cloud",
"path": "/src/commcare_cloud/ansible/library/setup_virtualenv.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> kty: COSEKTY
alg: COSEAlgorithmIdentifier
n: bytes
e: bytes
def decode_credential_public_key(
key: bytes,
) -> Union[DecodedOKPPublicKey, DecodedEC2PublicKey, DecodedRSAPublicKey]:
"""
Decode a CBOR-encoded public key and turn it into a data structure.
Supports OKP, EC2,... | code_fim | hard | {
"lang": "python",
"repo": "duo-labs/py_webauthn",
"path": "/webauthn/helpers/decode_credential_public_key.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> decoded_key: dict = decoder.loads(key)
kty = decoded_key[COSEKey.KTY]
alg = decoded_key[COSEKey.ALG]
if not kty:
raise InvalidPublicKeyStructure("Credential public key missing kty")
if not alg:
raise InvalidPublicKeyStructure("Credential public key missing alg")
... | code_fim | hard | {
"lang": "python",
"repo": "duo-labs/py_webauthn",
"path": "/webauthn/helpers/decode_credential_public_key.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: duo-labs/py_webauthn path: /webauthn/helpers/decode_credential_public_key.py
from typing import Union
from cbor2 import decoder
from pydantic import BaseModel
from .cose import COSECRV, COSEKTY, COSEAlgorithmIdentifier, COSEKey
from .exceptions import InvalidPublicKeyStructure, UnsupportedPubli... | code_fim | hard | {
"lang": "python",
"repo": "duo-labs/py_webauthn",
"path": "/webauthn/helpers/decode_credential_public_key.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anxuae/pih2o path: /pih2o/controls/pump.py
# -*- coding: utf-8 -*-
"""Pih2o pump / electro-valve management.
"""
import threading
from RPi import GPIO
from pih2o.utils import LOGGER
class Pump(object):
def __init__(self, pin):
self._running = threading.Event()
self.pin =... | code_fim | hard | {
"lang": "python",
"repo": "anxuae/pih2o",
"path": "/pih2o/controls/pump.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def is_running(self):
"""
Return True if the pump is started.
"""
return self._running.is_set()
def start(self):
"""
Start the pump.
"""
if self.is_running():
# Avoid starting several times to prevent concurent access
... | code_fim | medium | {
"lang": "python",
"repo": "anxuae/pih2o",
"path": "/pih2o/controls/pump.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_attr(self, server, attribute):
"""
Public method to get the value of some given attribute in cfg associated with given server.
:param server: Takes server object ot just server id string
:param attribute: Takes string with attribute name
:return: Value of given attribute if exist, els... | code_fim | hard | {
"lang": "python",
"repo": "dzenX/music_bot",
"path": "/settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dzenX/music_bot path: /settings.py
import os
import yaml
from utils import get_dict, silent_remove, valid_server
class Settings:
"""
Class to stoge and control settings for different servers.
"""
Settings = {} # Store in servers setting
def __init__(self, settings_folder):
"""
... | code_fim | hard | {
"lang": "python",
"repo": "dzenX/music_bot",
"path": "/settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> progress = round(100 / goal * i, 2)
print(f"Progress: {progress}%")<|fim_prefix|># repo: MHartveit/lcm path: /api/util/utils.py
def print_progress(i: int, goal: int):<|fim_middle|>
if i != 0 and i % 100 == 0:
| code_fim | easy | {
"lang": "python",
"repo": "MHartveit/lcm",
"path": "/api/util/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MHartveit/lcm path: /api/util/utils.py
def print_progress(i: int, goal: int):<|fim_suffix|> progress = round(100 / goal * i, 2)
print(f"Progress: {progress}%")<|fim_middle|>
if i != 0 and i % 100 == 0:
| code_fim | easy | {
"lang": "python",
"repo": "MHartveit/lcm",
"path": "/api/util/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scrapinghub/spidermon path: /tests/contrib/actions/slack/test_slack_message_manager.py
import pytest
from scrapy.utils.test import get_crawler
from slack_sdk.errors import SlackApiError
from spidermon.contrib.actions.slack import SlackMessageManager, SendSlackMessage
@pytest.fixture
def logge... | code_fim | hard | {
"lang": "python",
"repo": "scrapinghub/spidermon",
"path": "/tests/contrib/actions/slack/test_slack_message_manager.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> fake_error = SlackApiError("mocked error", FakeResponse())
mock_webclient().users_list.side_effect = fake_error
manager = SlackMessageManager(sender_token="Fake", sender_name="test_invalid_bot")
with pytest.raises(SlackApiError) as excinfo:
manager._get_icon_url()
assert excinf... | code_fim | hard | {
"lang": "python",
"repo": "scrapinghub/spidermon",
"path": "/tests/contrib/actions/slack/test_slack_message_manager.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hylin-work/quality-assessment-protocol path: /qap/cli.py
'%d:00:00' % hrs_limit
config_dict["time_limit"] = time_limit
env_arr_idx = '$SLURM_ARRAY_TASK_ID'
batch_file_contents = cluster_templates.slurm_template
confirm_str = '(?<=Submitted batch job... | code_fim | hard | {
"lang": "python",
"repo": "hylin-work/quality-assessment-protocol",
"path": "/qap/cli.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Start the magic
if not self._platform and not self._bundle_idx:
# not a cluster/grid run
for idx in range(1, num_bundles+1):
results.append(self.run_one_bundle(idx))
elif not self._bundle_idx:
# there is a self._bundle_idx only... | code_fim | hard | {
"lang": "python",
"repo": "hylin-work/quality-assessment-protocol",
"path": "/qap/cli.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # flatten the participant dictionary
self._sub_dict = self.create_session_dict(subdict)
# create the list of bundles
self._bundles_list = self.create_bundles()
num_bundles = len(self._bundles_list)
if not self._bundle_idx:
# want to initialize ... | code_fim | hard | {
"lang": "python",
"repo": "hylin-work/quality-assessment-protocol",
"path": "/qap/cli.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> exercise_name = Label(exercise_details_content, text="Exercise")
exercise_name.grid(row=1, column=1)
exercise_sets = Label(exercise_details_content, text="Set")
exercise_sets.grid(row=1, column=2)
exercise_reps = Label(exercise_details_content, text="Reps")
... | code_fim | hard | {
"lang": "python",
"repo": "delereyus/ProLog",
"path": "/exercise_details_page.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: delereyus/ProLog path: /exercise_details_page.py
from tkinter import *
from back_end import Database
import edit_workout_page
import config
database = Database("py_project.db")
class ExerciseDetailsPage:
def __init__(self, content, exercise, workout_id, workout_date, username):
sel... | code_fim | hard | {
"lang": "python",
"repo": "delereyus/ProLog",
"path": "/exercise_details_page.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zjhdota/practice path: /numpy/sample_numpy.py
import numpy as np
a = np.array([[1,2,3],
[4,5,6]],
dtype=np.int)
print(a.ndim)
print(a.shape)
print(a.dtype)
# 生成0矩阵
a = np.zeros((3,4), dtype=np.int16)
print(a)
# 生成随机数矩阵
a = np.empty((2,3))
print(a)
# 类似range
a = np.arange(12... | code_fim | hard | {
"lang": "python",
"repo": "zjhdota/practice",
"path": "/numpy/sample_numpy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# 合并矩阵
a = np.array([1, 1, 1])
b = np.array([2, 2, 2])
# 上下合并
c = np.vstack((a,b))
print(c)
print(c.shape)
# 左右合并
d = np.hstack((a,b))
print(d)
print(d.shape)
# 横向数列变为纵向数列
print(a.reshape(a.size,1))
print(a[:, np.newaxis])
a = a[:, np.newaxis]
b = b[:, np.newaxis]
print(a, b)
#
c = np.concatenate((a,... | code_fim | hard | {
"lang": "python",
"repo": "zjhdota/practice",
"path": "/numpy/sample_numpy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> usuario_google = users.get_current_user()
if usuario_google:
google_id = usuario_google.user_id()
query = Usuario.query_by_google(google_id)
usuario_logado = query.get()
if not usuario_logado:
usuario_logado = Usuario(nome=usuario_google.nickname(),
... | code_fim | hard | {
"lang": "python",
"repo": "kaiocesar/portalcursos",
"path": "/backend/src/usuario/middleware.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kaiocesar/portalcursos path: /backend/src/usuario/middleware.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from google.appengine.api import users
from usuario.model import Usuario
import tmpl
<|fim_suffix|> usuario_google = users.get_current_user()
if... | code_fim | hard | {
"lang": "python",
"repo": "kaiocesar/portalcursos",
"path": "/backend/src/usuario/middleware.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
index = self._names.index(name)
except ValueError:
return self.__dict__[name]
return self._chars[index]
@property
def kind(self):
return self._kind
@kind.setter
def kind(self, value):
self._kind = value
self._ch... | code_fim | hard | {
"lang": "python",
"repo": "pji/blackjack",
"path": "/blackjack/utility.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pji/blackjack path: /blackjack/utility.py
"""
utility
~~~~~~~
Miscellaneous objects for the blackjack module.
"""
splash_title = (
'╔╗ ║ ╔═╗ ╔═╗ ║ ║',
'║║ ║ ║ ║ ║ ╠═╝',
'╠╩╗ ║ ╠═╣ ║ ╠═╗',
'║ ║ ║ ║ ║ ║ ║ ║',
'╚═╝ ╚══ ║ ║ ╚═╝ ║ ║',
'',
' ║ ╔═╗ ╔═╗ ║ ║... | code_fim | hard | {
"lang": "python",
"repo": "pji/blackjack",
"path": "/blackjack/utility.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def custom(self):
return self._custom
@custom.setter
def custom(self, value):
strvalue = str(value)
if len(strvalue) == 14:
self._custom = str(strvalue)
self._kind = 'custom'
else:
reason = 'The custom string mu... | code_fim | hard | {
"lang": "python",
"repo": "pji/blackjack",
"path": "/blackjack/utility.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rattletat/covid-register.eu path: /covidregister/register/migrations/0013_auto_20200525_2239.py
# Generated by Django 3.0.6 on 2020-05-25 22:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('register', '0012_auto_20200525_1954'),... | code_fim | hard | {
"lang": "python",
"repo": "rattletat/covid-register.eu",
"path": "/covidregister/register/migrations/0013_auto_20200525_2239.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dication',
name='count',
field=models.PositiveSmallIntegerField(blank=True, null=True, verbose_name='Quantity'),
),
migrations.AlterField(
model_name='preexistingmedication',
name='dosage_form',
field=models.PositiveSmallIntegerFi... | code_fim | hard | {
"lang": "python",
"repo": "rattletat/covid-register.eu",
"path": "/covidregister/register/migrations/0013_auto_20200525_2239.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DDMAL/cantus path: /app/public/cantusdata/views/folio.py
from cantusdata.models.folio import Folio
from cantusdata.serializers.folio import FolioSerializer
from django.http import Http404
from rest_framework import generics
class FolioList(generics.ListAPIView):
model = Folio
serializer... | code_fim | hard | {
"lang": "python",
"repo": "DDMAL/cantus",
"path": "/app/public/cantusdata/views/folio.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(queryset) == 0:
raise Http404("No data for a folio with that number")
else:
return queryset[:1] # Make sure we return only one element
class FolioDetail(generics.RetrieveAPIView):
model = Folio
queryset = Folio.objects.all()
serializer_class = ... | code_fim | hard | {
"lang": "python",
"repo": "DDMAL/cantus",
"path": "/app/public/cantusdata/views/folio.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert all([rule(i).is_valid() for i in tests])<|fim_prefix|># repo: Nikita-Boyarskikh/bnf path: /bnf/test/utils.py
from typing import Iterator
<|fim_middle|>from bnf.rule import Rule
def assert_all_tests_is_valid(rule: Rule, tests: Iterator[str]):
| code_fim | medium | {
"lang": "python",
"repo": "Nikita-Boyarskikh/bnf",
"path": "/bnf/test/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nikita-Boyarskikh/bnf path: /bnf/test/utils.py
from typing import Iterator
<|fim_suffix|> assert all([rule(i).is_valid() for i in tests])<|fim_middle|>from bnf.rule import Rule
def assert_all_tests_is_valid(rule: Rule, tests: Iterator[str]):
| code_fim | medium | {
"lang": "python",
"repo": "Nikita-Boyarskikh/bnf",
"path": "/bnf/test/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.client.set('key', 'value')
self.assertEqual(self.client._client, self.client._cache)
class TestWithEnvironmentAuth(TestWithExplicitAuth):
def setUp(self):
os.environ['MEMCACHE_SERVERS'] = '127.0.0.1'
os.environ['MEMCACHE_USERNAME'] = 'user'
os.environ['ME... | code_fim | hard | {
"lang": "python",
"repo": "waenwj/django-bmemcached",
"path": "/tests/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: waenwj/django-bmemcached path: /tests/__init__.py
import os
import unittest
import django_bmemcached
class TestWithExplicitAuth(unittest.TestCase):
def setUp(self):
self.client = django_bmemcached.BMemcached(('127.0.0.1:11211', ),
{'OPTIONS': {'username': 'user', 'passw... | code_fim | medium | {
"lang": "python",
"repo": "waenwj/django-bmemcached",
"path": "/tests/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def testPropertyCacheRetunsAwaysSameServer(self):
self.client.set('key', 'value')
self.assertEqual(self.client._client, self.client._cache)
class TestWithEnvironmentAuth(TestWithExplicitAuth):
def setUp(self):
os.environ['MEMCACHE_SERVERS'] = '127.0.0.1'
os.enviro... | code_fim | hard | {
"lang": "python",
"repo": "waenwj/django-bmemcached",
"path": "/tests/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: biolearning-stadius/rdkit path: /rdkit/ML/Data/test_data/populate.py
import RDConfig
from Dbase import DbUtils
from io import StringIO
basic_2class = """ID,VAL,ACT
id-1,1.0,0
id-2,23.0,1
id-3,4.0,0
id-4,6.0,1
id-5,321.0,0
id-6,885.0,1
id-7,252.0,0
id-8,1351.1,1
id-9,3215.0,0
id-10,2585.0,1
id-11... | code_fim | medium | {
"lang": "python",
"repo": "biolearning-stadius/rdkit",
"path": "/rdkit/ML/Data/test_data/populate.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ils.TextFileToDatabase(RDConfig.RDTestDatabase, 'basic_2class', io)
io = StringIO(float_2class)
DbUtils.TextFileToDatabase(RDConfig.RDTestDatabase, 'float_2class', io)<|fim_prefix|># repo: biolearning-stadius/rdkit path: /rdkit/ML/Data/test_data/populate.py
import RDConfig
from Dbase import DbUtils
from ... | code_fim | hard | {
"lang": "python",
"repo": "biolearning-stadius/rdkit",
"path": "/rdkit/ML/Data/test_data/populate.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heyitsmine/FewRel path: /models/proto_plain.py
import sys
sys.path.append('..')
import fewshot_re_kit
import torch
from torch import autograd, optim, nn
class ProtoPlain(fewshot_re_kit.framework.FewShotREModel):
def __init__(self, sentence_encoder):
fewshot_re_kit.framework.FewShot... | code_fim | hard | {
"lang": "python",
"repo": "heyitsmine/FewRel",
"path": "/models/proto_plain.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> support = support.view(-1, N, K, self.hidden_size) # (B, N, K, D)
query = query.view(-1, total_Q, self.hidden_size) # (B, total_Q, D)
# Prototypical Networks
support = torch.mean(support, 2) # Calculate prototype for each class, (B, N, D)
logits = -self.__batch_... | code_fim | hard | {
"lang": "python",
"repo": "heyitsmine/FewRel",
"path": "/models/proto_plain.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hpagseddy/ZPUI path: /apps/example_apps/test_hanging/main.py
menu_name = "Test hangup"
from ui import Printer
from time import sleep
i = None
o = None
<|fim_suffix|>def callback():
Printer("Hangup", None, o, 0)
while True:
sleep(1)<|fim_middle|>def init_app(input, output):
... | code_fim | medium | {
"lang": "python",
"repo": "hpagseddy/ZPUI",
"path": "/apps/example_apps/test_hanging/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def callback():
Printer("Hangup", None, o, 0)
while True:
sleep(1)<|fim_prefix|># repo: hpagseddy/ZPUI path: /apps/example_apps/test_hanging/main.py
menu_name = "Test hangup"
from ui import Printer
from time import sleep
i = None
o = None
def init_app(input, output):
<|fim_middle|> ... | code_fim | easy | {
"lang": "python",
"repo": "hpagseddy/ZPUI",
"path": "/apps/example_apps/test_hanging/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Printer("Hangup", None, o, 0)
while True:
sleep(1)<|fim_prefix|># repo: hpagseddy/ZPUI path: /apps/example_apps/test_hanging/main.py
menu_name = "Test hangup"
<|fim_middle|>from ui import Printer
from time import sleep
i = None
o = None
def init_app(input, output):
global i, o
... | code_fim | medium | {
"lang": "python",
"repo": "hpagseddy/ZPUI",
"path": "/apps/example_apps/test_hanging/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ajb254/BehavioralDataAnalysis path: /Chapter 10 - Cluster Randomization and Hierarchical Modeling/chap 10 - analyzing data.py
# -*- coding: utf-8 -*-
"""
Created on Sun May 10 11:44:30 2020
@author: Florent
"""
import os
import pandas as pd
import numpy as np
import statsmodels.formula.api as s... | code_fim | hard | {
"lang": "python",
"repo": "ajb254/BehavioralDataAnalysis",
"path": "/Chapter 10 - Cluster Randomization and Hierarchical Modeling/chap 10 - analyzing data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> vcf = {"rep_ID": "0+C(rep_ID)"}
h_mod = sm.mixedlm("call_CSAT ~ reason + age + group",
data = dat_df,
groups = dat_df["center_ID"],
re_formula='1',
vc_formula=vcf)
coeff = h_mod.fit().fe_params.values[2]
retu... | code_fim | hard | {
"lang": "python",
"repo": "ajb254/BehavioralDataAnalysis",
"path": "/Chapter 10 - Cluster Randomization and Hierarchical Modeling/chap 10 - analyzing data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> center_ID, data_np = strat_prep_fun(dat_df)
N = len(data_np)
#Calculate distance matrix
from scipy.spatial import distance_matrix
d_mat = distance_matrix(data_np, data_np)
np.fill_diagonal(d_mat,N+1)
# Set up variables
available = [i for i in range(N)]
available_te... | code_fim | hard | {
"lang": "python",
"repo": "ajb254/BehavioralDataAnalysis",
"path": "/Chapter 10 - Cluster Randomization and Hierarchical Modeling/chap 10 - analyzing data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FelipeDreissig/Prog-em-Py---CursoEmVideo path: /Mundo 3/02 - Listas - p1/Ex078 - Maior e menor.py
### maior e menor em uma LISTA
posicoes = []
n1 = int(input('Digite um valor:\n'))
n2 = int(input('Digite outro valor:\n'))
n3 = int(input('Digite mais um valor:\n'))
n4 = int(input('Este é o penúlti... | code_fim | medium | {
"lang": "python",
"repo": "FelipeDreissig/Prog-em-Py---CursoEmVideo",
"path": "/Mundo 3/02 - Listas - p1/Ex078 - Maior e menor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>1)
print(f'O maior valor é o {maior} e ele está na {posicoes[0]}ª posição.')
print(f'O menor valor é o {menor} e ele está na {posicoes[1]}ª posição.')<|fim_prefix|># repo: FelipeDreissig/Prog-em-Py---CursoEmVideo path: /Mundo 3/02 - Listas - p1/Ex078 - Maior e menor.py
### maior e menor em uma LISTA
posi... | code_fim | medium | {
"lang": "python",
"repo": "FelipeDreissig/Prog-em-Py---CursoEmVideo",
"path": "/Mundo 3/02 - Listas - p1/Ex078 - Maior e menor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @json_response
@swagger_auto_schema(
auto_schema=XcodeAutoSchema,
operation_summary='Device logout',
operation_description='Removes the api token of a device that has already logged in. If the device is a desktop client, also remove all sync tokens of repos synced on that c... | code_fim | hard | {
"lang": "python",
"repo": "syncwerk/syncwerk-server-restapi",
"path": "/fhs/usr/share/python/syncwerk/restapi/restapi/api3/custom/views_auth.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class LogoutDeviceView(APIView):
"""Removes the api token of a device that has already logged in. If the device
is a desktop client, also remove all sync tokens of repos synced on that
client .
"""
authentication_classes = (TokenAuthentication,)
permission_classes = (IsAuthenticate... | code_fim | medium | {
"lang": "python",
"repo": "syncwerk/syncwerk-server-restapi",
"path": "/fhs/usr/share/python/syncwerk/restapi/restapi/api3/custom/views_auth.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: syncwerk/syncwerk-server-restapi path: /fhs/usr/share/python/syncwerk/restapi/restapi/api3/custom/views_auth.py
from rest_framework import status
from rest_framework.permissions import IsAuthenticated
from synserv import syncwerk_api
from restapi import settings
from restapi.api3.base import API... | code_fim | hard | {
"lang": "python",
"repo": "syncwerk/syncwerk-server-restapi",
"path": "/fhs/usr/share/python/syncwerk/restapi/restapi/api3/custom/views_auth.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def async_image(self) -> bytes | None:
"""Return bytes of image."""
image_path = Path(__file__).parent / self._image_filename
return await self.hass.async_add_executor_job(image_path.read_bytes)<|fim_prefix|># repo: home-assistant/core path: /homeassistant/components/kit... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/kitchen_sink/image.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /homeassistant/components/kitchen_sink/image.py
"""Demo image platform."""
from __future__ import annotations
from pathlib import Path
from homeassistant.components.image import ImageEntity
from homeassistant.config_entries import ConfigEntry
from homeassistant.core im... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/kitchen_sink/image.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def async_added_to_hass(self):
"""Set the update time."""
self._attr_image_last_updated = dt_util.utcnow()
async def async_image(self) -> bytes | None:
"""Return bytes of image."""
image_path = Path(__file__).parent / self._image_filename
return await... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/kitchen_sink/image.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dccastro/Morpho-MNIST path: /scripts/interleave.py
import os
import shutil
import numpy as np
import pandas as pd
from morphomnist import io
def interleave_dfs(dfs, indices, keys):
df = pd.concat(dfs, axis=0, keys=keys)
df = df.swaplevel(0, 1)
df = df.loc[list(enumerate(indices))]... | code_fim | hard | {
"lang": "python",
"repo": "dccastro/Morpho-MNIST",
"path": "/scripts/interleave.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data_dirs = [os.path.join(data_root, dataset_names[i]) for i in pairing]
imgs_paths = [os.path.join(data_dir, images_filename) for data_dir in data_dirs]
metrics_paths = [os.path.join(data_dir, metrics_filename) for data_dir in data_dirs]
all_images = np.arr... | code_fim | hard | {
"lang": "python",
"repo": "dccastro/Morpho-MNIST",
"path": "/scripts/interleave.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="A tool script to record schedule.")
# type参数理论上可以是任何合法的类型， 但有些参数传入格式比较麻烦，例如list，
# 一般使用bool, int, str, float这些基本类型，更复杂的需求可以通过str传入，然后手动解析。
# bool类型的解析比较特殊，传入任何值都会被解析成True，传入空值时才为False
parser.add_argument("--mode"... | code_fim | hard | {
"lang": "python",
"repo": "lartpang/PySchedule",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lartpang/PySchedule path: /main.py
import argparse
from utils.file_funcs import read_json, save_table
from utils.operator_funcs import append_record, delete_record, display_all, update_record
from utils.print_funcs import disp_msg
from utils.tool_funcs import read_data
def main(args):
<|fim_su... | code_fim | hard | {
"lang": "python",
"repo": "lartpang/PySchedule",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> translator: sockeye.inference.Translator, chunk_id: int = 0) -> float:
"""
Translates each line from source_data, calling output handler after translating a batch.
:param output_handler: A handler that will be called once with the output of each translation.
:param sou... | code_fim | hard | {
"lang": "python",
"repo": "zz1559152814/my-notebook",
"path": "/paper:sockeye亚马逊翻译模型(2017业内最佳)/sockeye-master/sockeye/translate.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zz1559152814/my-notebook path: /paper:sockeye亚马逊翻译模型(2017业内最佳)/sockeye-master/sockeye/translate.py
# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with th... | code_fim | hard | {
"lang": "python",
"repo": "zz1559152814/my-notebook",
"path": "/paper:sockeye亚马逊翻译模型(2017业内最佳)/sockeye-master/sockeye/translate.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: araschermer/python-code path: /algorithms_and_data_structures/linked_lists/shift_elements.py
from linked_lists_util import print_linked_list, insert_list, Node
class LinkedList:
def __init__(self):
self.head = None
def shift_elements(self, shifts):
"""Shift the elements... | code_fim | hard | {
"lang": "python",
"repo": "araschermer/python-code",
"path": "/algorithms_and_data_structures/linked_lists/shift_elements.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def remove_tail(self):
"""removes the last element from the linked list"""
pointer = self.head
while pointer.next_node.next_node:
pointer = pointer.next_node
pointer.next_node = None
return self
def shift_elements2(self, num_shifts: int):
... | code_fim | hard | {
"lang": "python",
"repo": "araschermer/python-code",
"path": "/algorithms_and_data_structures/linked_lists/shift_elements.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_length(self):
"""Returns length of the linked list."""
pointer = self.head
counter = 0
while pointer:
counter += 1
pointer = pointer.next_node
return counter
if __name__ == '__main__':
linked_list2 = LinkedList()
insert_... | code_fim | hard | {
"lang": "python",
"repo": "araschermer/python-code",
"path": "/algorithms_and_data_structures/linked_lists/shift_elements.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def favorite_number():
number = stored_number()
if number:
print("I know your favorite number! It's " + number)
else:
number = survey_number()
print("Enter")
favorite_number()<|fim_prefix|># repo: ikamilov/Python path: /Exercise/10.11.Favoritenumber.py
import json
def stored_number():
filename... | code_fim | medium | {
"lang": "python",
"repo": "ikamilov/Python",
"path": "/Exercise/10.11.Favoritenumber.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ikamilov/Python path: /Exercise/10.11.Favoritenumber.py
import json
def stored_number():
filename = 'numbers.json'
try:
with open(filename) as file_object:
number = json.load(file_object)
except FileNotFoundError:
return None
else:
return number
def survey_number():
<|fim_suffix|>... | code_fim | medium | {
"lang": "python",
"repo": "ikamilov/Python",
"path": "/Exercise/10.11.Favoritenumber.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheAlgorithms/Python path: /maths/segmented_sieve.py
"""Segmented Sieve."""
import math
def sieve(n: int) -> list[int]:
"""Segmented Sieve."""
in_prime = []
start = 2
end = int(math.sqrt(n)) # Size of every segment
temp = [True] * (end + 1)
prime = []
... | code_fim | medium | {
"lang": "python",
"repo": "TheAlgorithms/Python",
"path": "/maths/segmented_sieve.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> low = end + 1
high = min(2 * end, n)
while low <= n:
temp = [True] * (high - low + 1)
for each in in_prime:
t = math.floor(low / each) * each
if t < low:
t += each
for j in range(t, high + 1, each):
... | code_fim | hard | {
"lang": "python",
"repo": "TheAlgorithms/Python",
"path": "/maths/segmented_sieve.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mapper = FormProcessMapperService.create_mapper(dict_data)
response, status = mapper_schema.dump(mapper), HTTPStatus.CREATED
except ValidationError as form_err:
response, status = {'systemErrors': form_err.messages}, \
HTTPStatus.BAD_REQUEST
... | code_fim | hard | {
"lang": "python",
"repo": "olukunle-abolade/forms-flow-ai",
"path": "/forms-flow-api/src/api/resources/form_process_mapper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: olukunle-abolade/forms-flow-ai path: /forms-flow-api/src/api/resources/form_process_mapper.py
"""API endpoints for managing form resource."""
from http import HTTPStatus
from flask import g, jsonify, request
from flask_restx import Namespace, Resource, cors
from marshmallow import ValidationErr... | code_fim | hard | {
"lang": "python",
"repo": "olukunle-abolade/forms-flow-ai",
"path": "/forms-flow-api/src/api/resources/form_process_mapper.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
mapper = FormProcessMapperService.create_mapper(dict_data)
response, status = mapper_schema.dump(mapper), HTTPStatus.CREATED
except ValidationError as form_err:
response, status = {'systemErrors': form_err.messages}, \
HTTPStatus.BAD_REQUEST
... | code_fim | hard | {
"lang": "python",
"repo": "olukunle-abolade/forms-flow-ai",
"path": "/forms-flow-api/src/api/resources/form_process_mapper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> a_lat = np.where((lat_array < latitude))[0][0]
b_lat = np.where((lat_array >= latitude))[0][-1]
# Compute geo extent around the point :
# => extent definition : LR,LL,UL,UR
extent = [lon_array[a_lon], lat_array[a_lat],
lon_array[b_lon], lat_array[... | code_fim | hard | {
"lang": "python",
"repo": "hulaba/sen2like",
"path": "/sen2like/sen2like/atmcor/atmospheric_parameters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
v1 = (A[extent_index[7], extent_index[6]]) # UL
v2 = (A[extent_index[5], extent_index[4]]) # UR
v3 = (A[extent_index[1], extent_index[0]]) # LL
estimate_v = v1 + (v2 - v1) * beta_longitude + (v3 - v1) * beta_latitude
return estimate_v
@classmet... | code_fim | hard | {
"lang": "python",
"repo": "hulaba/sen2like",
"path": "/sen2like/sen2like/atmcor/atmospheric_parameters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hulaba/sen2like path: /sen2like/sen2like/atmcor/atmospheric_parameters.py
import logging
import numpy as np
log = logging.getLogger("Sen2Like")
class ATMO_parameter:
"""
Related to Atmospheric properties of a given geolocation
Used cams_data as property
Return with getValues, ... | code_fim | hard | {
"lang": "python",
"repo": "hulaba/sen2like",
"path": "/sen2like/sen2like/atmcor/atmospheric_parameters.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: madisoncooney/HPR_Titan path: /NoFAT/Python Code/NF_serialcapture.py
from bitstring import BitArray, BitStream
import base64
import datetime
<|fim_suffix|># Open port and start writing data
ser.open()
# this needs to be in a loop
packet = ser.read_until(255,6)
output = NF_rawToDatum(packet)
#... | code_fim | medium | {
"lang": "python",
"repo": "madisoncooney/HPR_Titan",
"path": "/NoFAT/Python Code/NF_serialcapture.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Open port and start writing data
ser.open()
# this needs to be in a loop
packet = ser.read_until(255,6)
output = NF_rawToDatum(packet)
#Testing purposes
print(output.sensor)
print(output.feed)
print(output.time)
print(output.channel)
print(output.data)<|fim_prefix|># repo: madisoncooney/HPR_Titan pa... | code_fim | medium | {
"lang": "python",
"repo": "madisoncooney/HPR_Titan",
"path": "/NoFAT/Python Code/NF_serialcapture.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> leg_terms = [
{"term": "2009-2010", "chamber": "upper", "district": "1"},
{"term": "2011-2012", "chamber": "upper", "district": "1"},
# redistricting
{"term": "2013-2014", "chamber": "upper", "district": "2"},
# lost election, then came back
{"term": "20... | code_fim | medium | {
"lang": "python",
"repo": "compwright/people",
"path": "/scripts/one-off/test_migrate_people.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: compwright/people path: /scripts/one-off/test_migrate_people.py
from migrate_people import terms_to_roles
nc_terms = [
{"end_year": 2010, "start_year": 2009, "name": "2009-2010", "sessions": ["2009"]},
{"end_year": 2012, "start_year": 2011, "name": "2011-2012", "sessions": ["2011"]},
... | code_fim | medium | {
"lang": "python",
"repo": "compwright/people",
"path": "/scripts/one-off/test_migrate_people.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_command(self, ctx: Context, cmd_name: str) -> Optional[Command]:
try:
mod = __import__(
f"cos.commands.cmd_{cmd_name}", None, None, ["cli"])
except ImportError:
return
return mod.cli
@click.command(cls=Commands)
def cli():
"... | code_fim | hard | {
"lang": "python",
"repo": "Adwaith-Rajesh/cospy",
"path": "/cos/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Adwaith-Rajesh/cospy path: /cos/cli.py
import os
from typing import Iterable
from typing import Optional
import click
from click import Command
from click import Context
<|fim_suffix|> def get_command(self, ctx: Context, cmd_name: str) -> Optional[Command]:
try:
mod = __... | code_fim | hard | {
"lang": "python",
"repo": "Adwaith-Rajesh/cospy",
"path": "/cos/cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vveitch/causal-network-embeddings path: /src/relational_ERM/effect_estimates/exogeneity_plotting.py
import os
import seaborn as sns
import matplotlib.pyplot as plt
import relational_ERM.effect_estimates.compute_ate as ate
import pandas as pd
def make_reddit_prop_plt():
<|fim_suffix|> prop_ex... | code_fim | hard | {
"lang": "python",
"repo": "vveitch/causal-network-embeddings",
"path": "/src/relational_ERM/effect_estimates/exogeneity_plotting.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.figure(figsize=(4.75, 3.5))
# plt.figure(figsize=(2.37, 1.5))
sns.scatterplot(data=prop_expt, legend='brief', s=75)
plt.xlabel("Exogeneity", fontfamily='monospace')
plt.ylabel("ATE Estimate", fontfamily='monospace')
plt.tight_layout()
fig_dir = '../output/figures'
os.m... | code_fim | hard | {
"lang": "python",
"repo": "vveitch/causal-network-embeddings",
"path": "/src/relational_ERM/effect_estimates/exogeneity_plotting.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Links to the cpu_temp.py script
if command == "2":
exec(open("./src/cpu_temp.py").read())<|fim_prefix|># repo: eding42/pycpu path: /pycpu.py
#!/usr/bin/python3
print("-------------- Welcome to PyCPU v1.05 --------------")
command = input("Choose a function:\n1. CPU Frequency (MHz)\n2. CPU Temper... | code_fim | medium | {
"lang": "python",
"repo": "eding42/pycpu",
"path": "/pycpu.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Links to the cpu_freq.py script
if command == "1":
exec(open("./src/cpu_freq.py").read())
# Links to the cpu_temp.py script
if command == "2":
exec(open("./src/cpu_temp.py").read())<|fim_prefix|># repo: eding42/pycpu path: /pycpu.py
#!/usr/bin/python3
print("-------------- Welcome to PyCPU ... | code_fim | medium | {
"lang": "python",
"repo": "eding42/pycpu",
"path": "/pycpu.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eding42/pycpu path: /pycpu.py
#!/usr/bin/python3
print("-------------- Welcome to PyCPU v1.05 --------------")
command = input("Choose a function:\n1. CPU Frequency (MHz)\n2. CPU Temperature (UNDER DEVELOPEMENT)\n")
# Links to the cpu_freq.py script
<|fim_suffix|>if command == "2":
exec(o... | code_fim | medium | {
"lang": "python",
"repo": "eding42/pycpu",
"path": "/pycpu.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not (mkl_controller and expected_layer):
pytest.skip("requires MKL and the environment variable MKL_THREADING_LAYER set")
actual_layer = mkl_controller.lib_controllers[0].threading_layer
assert actual_layer == expected_layer.lower()
def test_blis_threading_layer():
# Check th... | code_fim | hard | {
"lang": "python",
"repo": "joblib/threadpoolctl",
"path": "/tests/test_threadpoolctl.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Trigger the import of numpy to potentially import Intel OpenMP via MKL
pytest.importorskip("numpy.linalg")
# Check that a warning is raised when both libomp and libiomp are loaded
# It should happen in one CI job (pylatest_conda_mkl_clang_gcc).
controller = ThreadpoolController()
... | code_fim | hard | {
"lang": "python",
"repo": "joblib/threadpoolctl",
"path": "/tests/test_threadpoolctl.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joblib/threadpoolctl path: /tests/test_threadpoolctl.py
as_openmp()
blas_controller = ThreadpoolController().select(user_api="blas")
original_openmp_info = ThreadpoolController().select(user_api="openmp").info()
with blas_controller.limit(limits=1):
blas_controller = Threadp... | code_fim | hard | {
"lang": "python",
"repo": "joblib/threadpoolctl",
"path": "/tests/test_threadpoolctl.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HusseinElsherbini/Chixculub-Impactor path: /terminal.py
t_13.setSpacing(0)
self.verticalLayout_13.setObjectName("verticalLayout_13")
self.pauseBtn = QtWidgets.QPushButton(self.frame_18)
self.pauseBtn.setStyleSheet("QPushButton{\n"
"b... | code_fim | hard | {
"lang": "python",
"repo": "HusseinElsherbini/Chixculub-Impactor",
"path": "/terminal.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, objectName, VID_PID):
super().__init__()
self.setObjectName(objectName)
self.VID_PID = VID_PID
self.gridLayout_3 = QtWidgets.QGridLayout(self)
self.gridLayout_3.setContentsMargins(0, 0, 0, 0)
self.gridLayout_3.setObjectName("gridLayou... | code_fim | hard | {
"lang": "python",
"repo": "HusseinElsherbini/Chixculub-Impactor",
"path": "/terminal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HusseinElsherbini/Chixculub-Impactor path: /terminal.py
-color: rgb(242,242,242,90);
}
QScrollBar::add-line:vertical {
height: 0px;
}
QScrollBar::sub-line:vertical {
height: 0px;
}
... | code_fim | hard | {
"lang": "python",
"repo": "HusseinElsherbini/Chixculub-Impactor",
"path": "/terminal.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> input: torch.Tensor,
target: torch.Tensor,
alpha: float = -1,
lmd: float = 0.5,
reduction: Optional[str] = 'sum',
) -> torch.Tensor:
lhs = gs_div(input, target, alpha=alpha, lmd=lmd, reduction=reduction)
rhs = gs_div(target, input, alpha=alpha, lmd=lmd, reduction=reduction)
... | code_fim | easy | {
"lang": "python",
"repo": "ISMHinoLab/geodesical_skew_divergence",
"path": "/gs_divergence/symmetrized_geodesical_skew_divergence.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ISMHinoLab/geodesical_skew_divergence path: /gs_divergence/symmetrized_geodesical_skew_divergence.py
from typing import Optional
import torch
from gs_divergence import gs_div
<|fim_suffix|> input: torch.Tensor,
target: torch.Tensor,
alpha: float = -1,
lmd: float = 0.5,
reduct... | code_fim | easy | {
"lang": "python",
"repo": "ISMHinoLab/geodesical_skew_divergence",
"path": "/gs_divergence/symmetrized_geodesical_skew_divergence.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> random.random()
print "End of program. Bye!"<|fim_prefix|># repo: authman/Python201609 path: /Guerrero_Melissa/Assignments/coin_tosses.py
heads_count = 0
tails_count = 0
for count in range (0, 5001):
import random
random_num = random.random()
x = random_num
x_rounded = round(x)
if (0 <= x_rounde... | code_fim | medium | {
"lang": "python",
"repo": "authman/Python201609",
"path": "/Guerrero_Melissa/Assignments/coin_tosses.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: authman/Python201609 path: /Guerrero_Melissa/Assignments/coin_tosses.py
heads_count = 0
tails_count = 0
for count in range (0, 5001):
import random
random_num = random.random()
x = random_num
x_rounded = round(x)
<|fim_suffix|> random.random()
print "End of program. Bye!"<|fim_middle|>
if ... | code_fim | hard | {
"lang": "python",
"repo": "authman/Python201609",
"path": "/Guerrero_Melissa/Assignments/coin_tosses.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YisusJe/Todolist path: /backend/todolist/api/controllers/__init__.py
from flask import make_response, jsonify
def format_response(message, status, message_type="error"):
<|fim_suffix|> """
return make_response(
jsonify({message_type: message}),
status
)
from .user imp... | code_fim | medium | {
"lang": "python",
"repo": "YisusJe/Todolist",
"path": "/backend/todolist/api/controllers/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
return make_response(
jsonify({message_type: message}),
status
)
from .user import UserController<|fim_prefix|># repo: YisusJe/Todolist path: /backend/todolist/api/controllers/__init__.py
from flask import make_response, jsonify
<|fim_middle|>def format_response(message,... | code_fim | hard | {
"lang": "python",
"repo": "YisusJe/Todolist",
"path": "/backend/todolist/api/controllers/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chrisburr/lhcb-talky path: /talky/database_events.py
import os
from os.path import join
import secrets
from sqlalchemy.event import listens_for
from sqlalchemy import inspect
from .talky import app
from .schema import db, Submission, Talk, Comment
from . import messages
@listens_for(Submissio... | code_fim | hard | {
"lang": "python",
"repo": "chrisburr/lhcb-talky",
"path": "/talky/database_events.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@listens_for(db.session, 'after_flush')
def monitor_db_after_flush(session, flush_context):
"""Monitor for changes in the database"""
changed_objects = session.new.union(session.dirty)
for obj in changed_objects:
if isinstance(obj, Talk):
talk_changed(obj)
if isins... | code_fim | hard | {
"lang": "python",
"repo": "chrisburr/lhcb-talky",
"path": "/talky/database_events.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> N = 400
m = 2
graf = np.zeros((N,N), dtype=int)
for k in s.keys():
x, y = k
graf[m*x+N//2,m*y+N//2] = s[k] + 4000
for e in g.edges():
a, b = e
c = graf[m*a[0]+N//2, m*a[1]+N//2]
x, y = (m*a[0]+N//2+m*b[0]+N//2)//2, (m*a[1]+N//2+m*b[1]+N//2)//2
... | code_fim | hard | {
"lang": "python",
"repo": "orrinjelo/AdventOfCode2018",
"path": "/20/part1/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def plot_course(s,g):
N = 400
m = 2
graf = np.zeros((N,N), dtype=int)
for k in s.keys():
x, y = k
graf[m*x+N//2,m*y+N//2] = s[k] + 4000
for e in g.edges():
a, b = e
c = graf[m*a[0]+N//2, m*a[1]+N//2]
x, y = (m*a[0]+N//2+m*b[0]+N//2)//2, (m*a[1]... | code_fim | hard | {
"lang": "python",
"repo": "orrinjelo/AdventOfCode2018",
"path": "/20/part1/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: orrinjelo/AdventOfCode2018 path: /20/part1/main.py
#!/usr/bin/env python3
import os, sys
import numpy as np
from pprint import pprint
import time
# from operator import itemgetter
import matplotlib.pyplot as plt
import re
import networkx
def traverse(msg):
maze = networkx.Graph()
stack... | code_fim | hard | {
"lang": "python",
"repo": "orrinjelo/AdventOfCode2018",
"path": "/20/part1/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Penalize the weight of the embedding such that two similar words in the corpus embedding spaced trained using gensim stay similar in the new emebedding space"""
shape = weight_matrix.shape
#Sample at random nb_rand_sample of words pairs
z1 = tf.random_uniform([nb_rand_sample], minval =... | code_fim | hard | {
"lang": "python",
"repo": "cgallay/KaggleDathena",
"path": "/sentiment_analyzer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cgallay/KaggleDathena path: /sentiment_analyzer.py
# LSTM for sequence classification in the IMDB dataset
import keras
import tensorflow as tf
from keras import backend as K
from keras.datasets import imdb
from keras.models import Sequential, Model
from keras.layers import Dense, Lambda, Input
fr... | code_fim | hard | {
"lang": "python",
"repo": "cgallay/KaggleDathena",
"path": "/sentiment_analyzer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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