text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>urlpatterns += [
path('<int:pk>/<slug:slug>/', include([
path('', ListCategory.as_view(), name='list_subcategory'),
path('threads/', ListDescendantCategoryThread.as_view(), name='list_thread'),
]))
]<|fim_prefix|># repo: adepeter/sleekforum-docker path: /src/flyapps/categories/url... | code_fim | medium | {
"lang": "python",
"repo": "adepeter/sleekforum-docker",
"path": "/src/flyapps/categories/urls/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adepeter/sleekforum-docker path: /src/flyapps/categories/urls/__init__.py
from django.urls import include, path
from ..views import (
ListBaseCategory,
ListCategory,
ListDescendantCategoryThread,
SearchCategory,
)
<|fim_suffix|>urlpatterns += [
path('<int:pk>/<slug:slug>/', i... | code_fim | medium | {
"lang": "python",
"repo": "adepeter/sleekforum-docker",
"path": "/src/flyapps/categories/urls/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wtomin/SteerablePyramid_Torch_TF_Numpy path: /examples/example_tf.py
# MIT License
#
# Copyright (c) 2020 Didan Deng
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software w... | code_fim | hard | {
"lang": "python",
"repo": "wtomin/SteerablePyramid_Torch_TF_Numpy",
"path": "/examples/example_tf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ############################################################################
# Visualization
# Just extract a single example from the batch
# Also moves the example to CPU and NumPy
coeff = utils.extract_from_batch(coeff, 0)
if config.visualize:
import cv2
coeff_g... | code_fim | hard | {
"lang": "python",
"repo": "wtomin/SteerablePyramid_Torch_TF_Numpy",
"path": "/examples/example_tf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if config.visualize:
import cv2
coeff_grid = utils.make_grid_coeff(coeff, normalize=True)
cv2.imshow('image', (im_batch_numpy[0,0,]*255.).astype(np.uint8))
cv2.imshow('coeff', coeff_grid)
k = cv2.waitKey(0)
if k == 27: # wait for ESC key to exit
... | code_fim | hard | {
"lang": "python",
"repo": "wtomin/SteerablePyramid_Torch_TF_Numpy",
"path": "/examples/example_tf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nazrulworld/fhir.resources path: /fhir/resources/STU3/tests/test_chargeitem.py
# -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/ChargeItem
Release: STU3
Version: 3.0.2
Revision: 11917
Last updated: 2019-10-24T11:53:00+11:00
"""
from pydantic.validators import bytes_val... | code_fim | hard | {
"lang": "python",
"repo": "nazrulworld/fhir.resources",
"path": "/fhir/resources/STU3/tests/test_chargeitem.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """No. 1 tests collection for ChargeItem.
Test File: chargeitem-example.json
"""
filename = base_settings["unittest_data_dir"] / "chargeitem-example.json"
inst = chargeitem.ChargeItem.parse_file(
filename, content_type="application/json", encoding="utf-8"
)
assert "Char... | code_fim | hard | {
"lang": "python",
"repo": "nazrulworld/fhir.resources",
"path": "/fhir/resources/STU3/tests/test_chargeitem.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Abjad/abjad-ext-nauert path: /abjadext/nauert/gracehandlers.py
import abc
import typing
import abjad
from .qevents import PitchedQEvent, QEvent, SilentQEvent
class GraceHandler(abc.ABC):
"""
Abstract grace-handler.
Determines what pitch, if any, will be selected from a list of
... | code_fim | hard | {
"lang": "python",
"repo": "Abjad/abjad-ext-nauert",
"path": "/abjadext/nauert/gracehandlers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Boolean of whether to discard grace rests or not.
"""
return self._discard_grace_rest
@property
def grace_duration(self) -> abjad.Duration:
"""
Grace duration of concantenating grace handler.
"""
return self._grace_duration
... | code_fim | hard | {
"lang": "python",
"repo": "Abjad/abjad-ext-nauert",
"path": "/abjadext/nauert/gracehandlers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: acgrid/bilibili-show-dump path: /utils.py
import requests
import json
import os
import re
import datetime
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from openpyxl import Workbook
from openpyxl.utils import get_column_letter
def requests_retry_session(
ret... | code_fim | hard | {
"lang": "python",
"repo": "acgrid/bilibili-show-dump",
"path": "/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = match_single(data, regexp)
return datetime.datetime.strptime(result, '%Y-%m-%d %H:%M') if result else None
def set_columns_width(sheet, columns_width):
for index, width in enumerate(columns_width):
sheet.column_dimensions[get_column_letter(index + 1)].width = width<|fim_pref... | code_fim | hard | {
"lang": "python",
"repo": "acgrid/bilibili-show-dump",
"path": "/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> val = 0.0
if abs(x)<0.5:
val = 1.0
return val
def init_random(x):
return np.random.rand(1)
def step_wave(t):
c = 1.0 # wave speed
if t<2:
print( 'stability:', (c*dt/dx)**2 )
# set initial condition
for i in range(0,nx):
u[t,i] = 0.... | code_fim | hard | {
"lang": "python",
"repo": "dianafprieto/SS_2017",
"path": "/scripts/08_PDE_part1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dianafprieto/SS_2017 path: /scripts/08_PDE_part1.py
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib import animation, rc
# define the discretization grid
dx = 0.1 # space increment (default 0.1)
dt = 0.01 # time increment (default 0.01)
tmin = 0.0 # initial ... | code_fim | hard | {
"lang": "python",
"repo": "dianafprieto/SS_2017",
"path": "/scripts/08_PDE_part1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>.command, name='command'),
path('interaction', views.interaction, name='interaction'),
]<|fim_prefix|># repo: whatsupmike/homie path: /slack_integration/urls.py
from django.urls import path
from . import vi<|fim_middle|>ews
urlpatterns = [
path('command', views | code_fim | easy | {
"lang": "python",
"repo": "whatsupmike/homie",
"path": "/slack_integration/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: whatsupmike/homie path: /slack_integration/urls.py
from django.urls import path
from . import views
urlpatterns = [
path('command', views<|fim_suffix|>on', views.interaction, name='interaction'),
]<|fim_middle|>.command, name='command'),
path('interacti | code_fim | easy | {
"lang": "python",
"repo": "whatsupmike/homie",
"path": "/slack_integration/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for id_, repl in matched.items():
if not repl:
continue
ref = Ref.get(id_, default=None)
if ref is None:
continue
Config.add_replacement(ref, repl, session=DBSession, model=Source)
DBSession.delete(ref)
i... | code_fim | hard | {
"lang": "python",
"repo": "kublaj/glottolog3",
"path": "/glottolog3/scripts/match_obsolete_refs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #
# TODO:
# - create bibtex file containing all refs to be removed!
# -
#
matched = args.data_file(args.version, 'obsolete_refs_matched.json')
if matched.exists():
with open(matched) as fp:
matched = json.load(fp)
... | code_fim | hard | {
"lang": "python",
"repo": "kublaj/glottolog3",
"path": "/glottolog3/scripts/match_obsolete_refs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kublaj/glottolog3 path: /glottolog3/scripts/match_obsolete_refs.py
# -*- coding: utf-8 -*-
import json
import transaction
from clld.scripts.util import parsed_args
from clld.db.meta import DBSession
from clld.db.models.common import Config, Source
from glottolog3.scripts.util import match_obsol... | code_fim | hard | {
"lang": "python",
"repo": "kublaj/glottolog3",
"path": "/glottolog3/scripts/match_obsolete_refs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sassoftware/catalog-service path: /catalogService/rest/models/serviceInfo.py
#!/usr/bin/python
#
# Copyright (c) SAS Institute Inc.
#
# 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... | code_fim | medium | {
"lang": "python",
"repo": "sassoftware/catalog-service",
"path": "/catalogService/rest/models/serviceInfo.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> serviceInfoClass = ServiceInfo
def __init__(self):
xmllib.DataBinder.__init__(self)
for cls in [ self.serviceInfoClass, ]:
self.registerType(cls, cls.tag)<|fim_prefix|># repo: sassoftware/catalog-service path: /catalogService/rest/models/serviceInfo.py
#!/usr/bin/pytho... | code_fim | hard | {
"lang": "python",
"repo": "sassoftware/catalog-service",
"path": "/catalogService/rest/models/serviceInfo.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jhosteny/iglu-python-client path: /tests/test_core.py
import pytest
from iglu_client.core import SchemaKey, SchemaVer, IgluError
class TestSchemaKey:
def test_parse_iglu_uri(self):
assert (
SchemaKey.parse_key(
"iglu:com.snowplowanalytics.snowplow/event/... | code_fim | hard | {
"lang": "python",
"repo": "jhosteny/iglu-python-client",
"path": "/tests/test_core.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with pytest.raises(IgluError):
SchemaKey.parse_key("com.snowplowanalytics.snowplow/event/jsonschema/1-0-1")
def test_parse_schema_key_invalid_version(self):
with pytest.raises(IgluError):
SchemaKey.parse_key("com.snowplowanalytics.snowplow/event/jsonschema/1-a-... | code_fim | hard | {
"lang": "python",
"repo": "jhosteny/iglu-python-client",
"path": "/tests/test_core.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open('test_result.txt', 'w+') as f:
for sen, sen_tag, sen_pre in zip(sentences, labels, pre_tags):
for i in range(len(sen)):
f.write('{}\t{}\t{}\n'.format(sen[i], sen_tag[i], sen_pre[i]))
f.write('\n')
print('Test finished!')
if __name__ == '... | code_fim | medium | {
"lang": "python",
"repo": "VictorJiangXin/Linear-CRF",
"path": "/src/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: VictorJiangXin/Linear-CRF path: /src/test.py
import os
import sys
import codecs
from crf import LinearCRF
def test_file(model_path, test_file_path):
"""Test model
test file format
今 B
晚 E
月 B
色 E
真 S
美 S
。 S
<MUST SEPERATE BY SPACE LINE>
... | code_fim | hard | {
"lang": "python",
"repo": "VictorJiangXin/Linear-CRF",
"path": "/src/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: puilp0502/fzypy path: /src/fzy/search.py
"""An utility module that provides simple search method.
This module provides a thin wrapper around the underlying
fzy.choices module. This module is provided only for user convenience;
users are encouraged to used fzy.choices module directly.
"""
from fz... | code_fim | medium | {
"lang": "python",
"repo": "puilp0502/fzypy",
"path": "/src/fzy/search.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Fuzzy search from provided `candidates` with query `search`.
:param search: search query
:param candidates: list (or iterable) of candidate strings
:return: list of (candidate, score) tuples
"""
choicer = choices.Choice()
for candidate in candidates:
choicer.add(cand... | code_fim | medium | {
"lang": "python",
"repo": "puilp0502/fzypy",
"path": "/src/fzy/search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> vaddr = int(phdr.p_vaddr)
offset = int(phdr.p_offset)
flags = int(phdr.p_flags)
ptype = int(phdr.p_type)
memsz += pwndbg.lib.memory.page_offset(vaddr)
memsz = pwndbg.lib.memory.page_size_align(memsz)
vaddr = pwndbg.lib.memory.page_align(vaddr)
... | code_fim | hard | {
"lang": "python",
"repo": "pwndbg/pwndbg",
"path": "/pwndbg/gdblib/elf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pwndbg/pwndbg path: /pwndbg/gdblib/elf.py
"""
This file declares types and methods useful for enumerating
all of the address spaces and permissions of an ELF file in memory.
This is necessary for when access to /proc is restricted, or when
working on a BSD system which simply does not have /proc... | code_fim | hard | {
"lang": "python",
"repo": "pwndbg/pwndbg",
"path": "/pwndbg/gdblib/elf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # For each page described by this program header
for page_addr in range(vaddr, vaddr + memsz, pwndbg.lib.memory.PAGE_SIZE):
if page_addr in pages:
page = pages[pages.index(page_addr)] # type: ignore[arg-type]
# Don't ever remove the execute fla... | code_fim | hard | {
"lang": "python",
"repo": "pwndbg/pwndbg",
"path": "/pwndbg/gdblib/elf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dockerizeme/dockerizeme path: /hard-gists/1710122/snippet.py
"""Flask extension utility."""
from flask.sessions import SessionInterface, SessionMixin
from werkzeug.contrib.cache import MemcachedCache
import memcache # Use https://code.launchpad.net/~songofacandy/python-memcached/mixin-threadin... | code_fim | medium | {
"lang": "python",
"repo": "dockerizeme/dockerizeme",
"path": "/hard-gists/1710122/snippet.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> cache = app.cache
_key = session._session_key
cache.set(_key, session, timeout=0)
# Example:
# app.config.update(MEMCACHED_SERVERS='localhost:11211 localhost:11212',
# MEMCACHED_PREFIX ='app32-',
# )
# setup_cache(app)
# app.session_interface =... | code_fim | medium | {
"lang": "python",
"repo": "dockerizeme/dockerizeme",
"path": "/hard-gists/1710122/snippet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> SessionInterface.__init__(self)
self._key_func = key
self._prefix = prefix
def open_session(self, app, request):
cache = app.cache
try:
_key = self._prefix + self._key_func(request)
except Exception:
return None
obj = cac... | code_fim | hard | {
"lang": "python",
"repo": "dockerizeme/dockerizeme",
"path": "/hard-gists/1710122/snippet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ingram7/SourceCodeOfBook path: /第7章/program/example_fake_ajax.py
import json
import requests
import re
url = 'http://exercise.kingname.info/exercise_ajax_2.html'
html = requests.get(url).content.decode()
<|fim_suffix|># html_json = '{"code": "\u884c\u52a8\u4ee3\u53f7\uff1a\u5929\u738b\u76d6\u57... | code_fim | medium | {
"lang": "python",
"repo": "Ingram7/SourceCodeOfBook",
"path": "/第7章/program/example_fake_ajax.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># html_json = '{"code": "\u884c\u52a8\u4ee3\u53f7\uff1a\u5929\u738b\u76d6\u5730\u864e"}'
# html_dict = json.loads(html_json)
# print(html_dict)<|fim_prefix|># repo: Ingram7/SourceCodeOfBook path: /第7章/program/example_fake_ajax.py
import json
import requests
import re
url = 'http://exercise.kingname.info... | code_fim | medium | {
"lang": "python",
"repo": "Ingram7/SourceCodeOfBook",
"path": "/第7章/program/example_fake_ajax.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gilsonaureliano/Python-aulas path: /python_aulas/desaf068_break_sorteio.py
from random import randint
c = 0
while True:
computador = randint(0, 10)
print('+='*12)
print('Vamos jogar par ou ímpar?')
print('+='*12)
jogador = int(input('Digite seu valor: '<|fim_suffix|>Venceu!!')... | code_fim | hard | {
"lang": "python",
"repo": "gilsonaureliano/Python-aulas",
"path": "/python_aulas/desaf068_break_sorteio.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r = 'DEU IMPAR'
p2 = 'I'
print(f'O computador jogou {computador} e você jogou {jogador} ,total {computador + jogador} - {r}')
if pi == p2:
print('+='*12)
print('Você Venceu!!')
print('Vamos jogar novamente')
c = c + 1
else:
print('+=' * 12)
... | code_fim | medium | {
"lang": "python",
"repo": "gilsonaureliano/Python-aulas",
"path": "/python_aulas/desaf068_break_sorteio.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Parthi10/django-DefectDojo path: /dojo/management/commands/validatededupeconfig.py
from django.core.management.base import BaseCommand
from django.conf import settings
import logging
<|fim_suffix|> help = 'Validate deduplication logic in settings'
def handle(self, *args, **options):
... | code_fim | medium | {
"lang": "python",
"repo": "Parthi10/django-DefectDojo",
"path": "/dojo/management/commands/validatededupeconfig.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Command(BaseCommand):
help = 'Validate deduplication logic in settings'
def handle(self, *args, **options):
for scanner in settings.HASHCODE_FIELDS_PER_SCANNER:
for field in settings.HASHCODE_FIELDS_PER_SCANNER.get(scanner):
if field not in settings.HASH... | code_fim | medium | {
"lang": "python",
"repo": "Parthi10/django-DefectDojo",
"path": "/dojo/management/commands/validatededupeconfig.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def handle(self, *args, **options):
for scanner in settings.HASHCODE_FIELDS_PER_SCANNER:
for field in settings.HASHCODE_FIELDS_PER_SCANNER.get(scanner):
if field not in settings.HASHCODE_ALLOWED_FIELDS:
deduplicationLogger.error(f"Configuration e... | code_fim | medium | {
"lang": "python",
"repo": "Parthi10/django-DefectDojo",
"path": "/dojo/management/commands/validatededupeconfig.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nansencenter/DAPPER path: /dapper/mods/Lorenz96/sakov2008.py
"""Settings as in `bib.sakov2008deterministic`.
This HMM is used (with small variations) in many DA papers, for example
`bib.bocquet2011ensemble`, `bib.sakov2012iterative`,
`bib.bocquet2015expanding`, `bib.bocquet2013joint`.
"""
impo... | code_fim | hard | {
"lang": "python",
"repo": "nansencenter/DAPPER",
"path": "/dapper/mods/Lorenz96/sakov2008.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>####################
# Suggested tuning
####################
# Reproduce Table1 of sakov2008deterministic # Expected rmse.a:
# --------------------------------------------------------------------------------
# xps += EnKF('PertObs' ,N=40, infl=1.06) # 0.22
# xps += EnKF('DEnKF... | code_fim | hard | {
"lang": "python",
"repo": "nansencenter/DAPPER",
"path": "/dapper/mods/Lorenz96/sakov2008.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>HMM.liveplotters = LPs(jj)
####################
# Suggested tuning
####################
# Reproduce Table1 of sakov2008deterministic # Expected rmse.a:
# --------------------------------------------------------------------------------
# xps += EnKF('PertObs' ,N=40, infl=1.06) ... | code_fim | hard | {
"lang": "python",
"repo": "nansencenter/DAPPER",
"path": "/dapper/mods/Lorenz96/sakov2008.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Read config file into `c`. Variables in config file are formatted
as `KEY=VALUE`.
"""
c = {}
with open(filename, "r") as f:
for line in f:
key, val = line.split("=")
key = key.strip()
val = val.strip()
c[key] = val
re... | code_fim | medium | {
"lang": "python",
"repo": "HDI-Project/FeatureHub",
"path": "/deploy/deploy_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HDI-Project/FeatureHub path: /deploy/deploy_util.py
import os
def get_config():
# load config vars
c = {}
script_dir = os.path.dirname(__file__)
c.update(_read_config(os.path.join(script_dir,".env")))
c.update(_read_config(os.path.join(script_dir,".env.local")))
return c... | code_fim | medium | {
"lang": "python",
"repo": "HDI-Project/FeatureHub",
"path": "/deploy/deploy_util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> c = {}
with open(filename, "r") as f:
for line in f:
key, val = line.split("=")
key = key.strip()
val = val.strip()
c[key] = val
return c<|fim_prefix|># repo: HDI-Project/FeatureHub path: /deploy/deploy_util.py
import os
def get_config(... | code_fim | medium | {
"lang": "python",
"repo": "HDI-Project/FeatureHub",
"path": "/deploy/deploy_util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> file_tokens = self.get_qa_file_tokens()
errors = []
errors += get_trailing_comma_errors(file_tokens)
errors += get_inline_comment_errors(file_tokens)
# sort the errors by line numbers
errors.sort(key=lambda x: x["line"])
for e in errors:
... | code_fim | hard | {
"lang": "python",
"repo": "truveris/flake8-truveris",
"path": "/flake8_truveris/check_truveris.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: truveris/flake8-truveris path: /flake8_truveris/check_truveris.py
import tokenize
try:
from flake8.engine import pep8
stdin_get_value = pep8.stdin_get_value
readlines = pep8.readlines
except ImportError:
from flake8 import utils
import pycodestyle
stdin_get_value = utils.... | code_fim | hard | {
"lang": "python",
"repo": "truveris/flake8-truveris",
"path": "/flake8_truveris/check_truveris.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> errors += get_trailing_comma_errors(file_tokens)
errors += get_inline_comment_errors(file_tokens)
# sort the errors by line numbers
errors.sort(key=lambda x: x["line"])
for e in errors:
yield (
e["line"],
e["col"],
... | code_fim | hard | {
"lang": "python",
"repo": "truveris/flake8-truveris",
"path": "/flake8_truveris/check_truveris.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# Create a display object
d = Display(BOARD_SIZE, BOARD_SIZE)
# Read a chunk's worth of data
data = sound.readframes(chunk_size)
# While music is playing
while(data != ''):
# play music
data_out.write(data)
# Get the max, min, and average levels
levels_max, levels_avg, levels_min = t... | code_fim | hard | {
"lang": "python",
"repo": "SArehalli/SimpleLED",
"path": "/demoItUp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SArehalli/SimpleLED path: /demoItUp.py
from display import Display
import alsaaudio as aa
import numpy as np
from struct import unpack
import wave
import audioop
BOARD_SIZE = 32
def normalize(data):
""" limit the range of an array to be between 0 and BOARD_SIZE """
norm_matrix = np.int_... | code_fim | hard | {
"lang": "python",
"repo": "SArehalli/SimpleLED",
"path": "/demoItUp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Read a chunk's worth of data
data = sound.readframes(chunk_size)
# While music is playing
while(data != ''):
# play music
data_out.write(data)
# Get the max, min, and average levels
levels_max, levels_avg, levels_min = transform_to_levels(data,
... | code_fim | hard | {
"lang": "python",
"repo": "SArehalli/SimpleLED",
"path": "/demoItUp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param _links:
:type _links: :class:`ReferenceLinks <release.v4_0.models.ReferenceLinks>`
:param attempt:
:type attempt: int
:param conditions:
:type conditions: list of :class:`Condition <release.v4_0.models.Condition>`
:param definition_environment_id:
:type definition_en... | code_fim | hard | {
"lang": "python",
"repo": "kenkuo/azure-devops-python-api",
"path": "/vsts/vsts/release/v4_0/models/deployment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kenkuo/azure-devops-python-api path: /vsts/vsts/release/v4_0/models/deployment.py
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the pro... | code_fim | hard | {
"lang": "python",
"repo": "kenkuo/azure-devops-python-api",
"path": "/vsts/vsts/release/v4_0/models/deployment.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Slava715/sova-tts-tps path: /tps/modules/ssml/elements.py
import math
from typing import Union
class Text:
_valid_prosody = ["pitch", "rate", "volume"]
def __init__(self, text, pitch=1.0, rate=1.0, volume=1.0):
self.value = text
self.pitch = parse_pitch(pitch)
... | code_fim | hard | {
"lang": "python",
"repo": "Slava715/sova-tts-tps",
"path": "/tps/modules/ssml/elements.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def parse_volume(value: Union[str, int, float]) -> Union[int, float]:
if isinstance(value, str):
if value.endswith("dB"):
factor = float(value.replace("dB", "")) # -6.0dB
elif value in _volume_map:
factor = _volume_map[value]
else:
raise Val... | code_fim | hard | {
"lang": "python",
"repo": "Slava715/sova-tts-tps",
"path": "/tps/modules/ssml/elements.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def parse_pitch(value: Union[str, float, int]) -> float:
if isinstance(value, str):
if value.endswith("%"):
factor = float(value.replace("%", "")) # -15.2%
factor = 1 + factor / 100
elif value.endswith("st"):
factor = float(value.replace("st", "")) #... | code_fim | hard | {
"lang": "python",
"repo": "Slava715/sova-tts-tps",
"path": "/tps/modules/ssml/elements.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_labels(prms, setName='train'):
grps = su.get_groups_all(prms, setName=setName)
lbNums = []
for (i,l) in enumerate(prms.labelNames):
if l == 'nrml':
lbNums.append(6 * len(grps))
elif l == 'pose':
lbNums.append(25 * len(grps))
elif l == 'ptch':
lbInfo = prms.labels[i]
num = i... | code_fim | hard | {
"lang": "python",
"repo": "pulkitag/egomotion",
"path": "/old_code/street_labels.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulkitag/egomotion path: /old_code/street_labels.py
## @package street_labels
# Contains function for reading and parsing labels
#
#Self imports
import street_params as sp
import street_utils as su
#Other imports
import pickle
import numpy as np
from os import path as osp
import my_pycaffe_io a... | code_fim | hard | {
"lang": "python",
"repo": "pulkitag/egomotion",
"path": "/old_code/street_labels.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_labels(prms, setName='train'):
grps = su.get_groups_all(prms, setName=setName)
lbNums = []
for (i,l) in enumerate(prms.labelNames):
if l == 'nrml':
lbNums.append(6 * len(grps))
elif l == 'pose':
lbNums.append(25 * len(grps))
elif l == 'ptch':
lbInfo = prms.labels[i]
num = in... | code_fim | hard | {
"lang": "python",
"repo": "pulkitag/egomotion",
"path": "/old_code/street_labels.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Plot kmeans groups by coded class
fig, axs = plt.subplots(1, 2, figsize=(10, 8))
fig.suptitle(f'Subplots of KMeans Group Distribution Within Assigned Classes: {name.upper()}')
user_class = user_df['class'].tolist()
user_class.sort()
for i, cl in enumerate... | code_fim | hard | {
"lang": "python",
"repo": "sarahmk125/twitter-analyzer",
"path": "/app/lib/embedding_analysis_plotter.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(f'[EmbeddingAnalysisPlotter] Visualizing MDS on users for {name}...')
self._plot_mds(mds_array, name, user_list, True)
print(f'[EmbeddingAnalysisPlotter] Visualizing KMeans on users for {name}...')
if type(kmeans_groups) != list:
kmeans_groups = [kmeans_g... | code_fim | hard | {
"lang": "python",
"repo": "sarahmk125/twitter-analyzer",
"path": "/app/lib/embedding_analysis_plotter.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sarahmk125/twitter-analyzer path: /app/lib/embedding_analysis_plotter.py
import matplotlib.pyplot as plt
class EmbeddingAnalysisPlotter(object):
def __init__(self):
pass
def _plot_mds(self, mds_array, name, labels=None, label_flag=False):
# Plotting first 50 documents w... | code_fim | hard | {
"lang": "python",
"repo": "sarahmk125/twitter-analyzer",
"path": "/app/lib/embedding_analysis_plotter.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> opening_from = max([dt_begin, opening_from_tz])
opening_to = min([dt_end, opening_to_tz])
sponsor.is_in_opening_hours = opening_from <= now_tz < opening_to
@api.depends('partner_id.country_id.image_url')
def _compute_country_flag_url(self):
... | code_fim | hard | {
"lang": "python",
"repo": "SHIVJITH/Odoo_Machine_Test",
"path": "/addons/website_event_track_exhibitor/models/event_sponsor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SHIVJITH/Odoo_Machine_Test path: /addons/website_event_track_exhibitor/models/event_sponsor.py
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from datetime import datetime
from pytz import timezone, utc
from odoo import api, fields, models
fro... | code_fim | hard | {
"lang": "python",
"repo": "SHIVJITH/Odoo_Machine_Test",
"path": "/addons/website_event_track_exhibitor/models/event_sponsor.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> joints = approach_grabing_pose #The empty joints array is stores the joint values of the appraoch_grabing_pose
arm_move(move_group, joints) #The arm_move(move_group, joints) function will move the joints position
time.sleep(3) #The COBOTTA will wait 5 seconds before moving on
joints = grabin... | code_fim | hard | {
"lang": "python",
"repo": "DENSO-2DLab/COBOTTA_OSS_MOVEIT_Samples",
"path": "/Pick_and_Place_Electric_Gripper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DENSO-2DLab/COBOTTA_OSS_MOVEIT_Samples path: /Pick_and_Place_Electric_Gripper.py
#Pick and Place Simulation in Python
#!/usr/bin/env python
import os
import sys
import rospy
import actionlib
import math
import moveit_commander
import rosservice
import geometry_msgs.msg
from denso_cobotta_gripper.... | code_fim | hard | {
"lang": "python",
"repo": "DENSO-2DLab/COBOTTA_OSS_MOVEIT_Samples",
"path": "/Pick_and_Place_Electric_Gripper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> joints = approach_placing_pose #The empty joints array is stores the joint values of the appraoch_placing_pose
arm_move(move_group, joints) #The arm_move(move_group, joints) function will move the joints position
time.sleep(3) #The COBOTTA will wait 5 seconds before moving on
joints = middle... | code_fim | hard | {
"lang": "python",
"repo": "DENSO-2DLab/COBOTTA_OSS_MOVEIT_Samples",
"path": "/Pick_and_Place_Electric_Gripper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jakesant/dsa-assignment path: /q11.py
#Write a function that computes cosine or sine by taking the first n terms of the appropriate series expansion
#To evaluate the value of sin and cos, we can make use of MacLaurin's Theorem
#f(x) = f(0) + f'(0)x+ f''(0)/2! x^2 + f'''0/3! x^3 ...
def cos(n):
... | code_fim | hard | {
"lang": "python",
"repo": "jakesant/dsa-assignment",
"path": "/q11.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return result
def fact(n):
if (n == 0):
return 1.0
else:
return n * fact(n-1)
print("%0.12f" %sin(2.68))
print("%0.12f" %sin(20))
print("%0.12f" %sin(90))
print("%0.12f" %cos(2.68))
print("%0.12f" %cos(20))
print("%0.12f" %cos(90))<|fim_prefix|># repo: jakesant/dsa-assignment... | code_fim | hard | {
"lang": "python",
"repo": "jakesant/dsa-assignment",
"path": "/q11.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rezaramadhan/GrafikaOpenGL path: /phone/phone.py
from OpenGLContext import testingcontext
BaseContext = testingcontext.getInteractive()
from OpenGL.GL import *
import time
import numpy
try:
from PIL.Image import open, FLIP_TOP_BOTTOM
except ImportError, err:
from Image import open
class... | code_fim | hard | {
"lang": "python",
"repo": "rezaramadhan/GrafikaOpenGL",
"path": "/phone/phone.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def Render( self, mode):
"""Render scene geometry"""
BaseContext.Render( self, mode )
glDisable( GL_LIGHTING) # context lights by default
glTranslatef(0,0.0,-3.0);
glRotated( time.time()%(8.0)/8 * -360, 1,1,0)
self.setupTexture()
self.drawCube()
... | code_fim | hard | {
"lang": "python",
"repo": "rezaramadhan/GrafikaOpenGL",
"path": "/phone/phone.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> hive = 0
initial = sticks
while True:
#A hex pair has 11 sticks
pairs = sticks // 11
#The remaining sticks
sticks = sticks % 11
#If no pairs
if pairs == 0:
#With 4 sticks we have a new hex
hive += sticks//4
... | code_fim | medium | {
"lang": "python",
"repo": "deepak1214/CompetitiveCode",
"path": "/Misc/HiveMaker/solution_1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deepak1214/CompetitiveCode path: /Misc/HiveMaker/solution_1.py
# The idea is that except if we have less than 11 sticks where the solution is trivial
# in every other case we create as much pairs of hexagons as possible. The addition of
# two pairs provides the best solution and also return to us... | code_fim | hard | {
"lang": "python",
"repo": "deepak1214/CompetitiveCode",
"path": "/Misc/HiveMaker/solution_1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [hive, initial-sticks, sticks]
print(HiveMaker(7))
print(HiveMaker(19))
print(HiveMaker(23))
print(HiveMaker(54))<|fim_prefix|># repo: deepak1214/CompetitiveCode path: /Misc/HiveMaker/solution_1.py
# The idea is that except if we have less than 11 sticks where the solution is trivial
# in eve... | code_fim | hard | {
"lang": "python",
"repo": "deepak1214/CompetitiveCode",
"path": "/Misc/HiveMaker/solution_1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: retaincc/py-retain path: /tests/__init__.py
import httpretty
from sure import expect
from retain import Retaincc
@httpretty.activate
def test_create_user():
httpretty.register_uri(
httpretty.POST, "https://app.retain.cc/api/v1/users",
body='{"user_id": 10}',
content... | code_fim | hard | {
"lang": "python",
"repo": "retaincc/py-retain",
"path": "/tests/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@httpretty.activate
def test_delete_user():
httpretty.register_uri(
httpretty.DELETE, "https://app.retain.cc/api/v1/users?user_id=10",
body='true',
content_type="application/json")
response = Retaincc.delete_user(user_id=10)
expect(response).to.equal(True)<|fim_prefix|... | code_fim | hard | {
"lang": "python",
"repo": "retaincc/py-retain",
"path": "/tests/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MzZak/Geretongers path: /__scan_bug_untuk_internet_gratis__.py
############################
# Coder : Mr.Tr3v!0n #
# Di Buat : 7-5-2018. #
# Team : Black Coder Crush #
# Slam Anak Bangsa. #
############################
import marshal
exec(marshal.loads('''c\x00\x00\x00\x00\x00\x... | code_fim | hard | {
"lang": "python",
"repo": "MzZak/Geretongers",
"path": "/__scan_bug_untuk_internet_gratis__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>1m[\x1b[32;1m+\x1b[39;1m] \x1b[39;1mMasukan Bug\x1b[31;1m: \x1b[39;1mi\x01\x00\x00\x00(\x11\x00\x00\x00t\x03\x00\x00\x00syst\x04\x00\x00\x00timeR\x04\x00\x00\x00t\x08\x00\x00\x00platformR\x00\x00\x00\x00R\x05\x00\x00\x00t\x01\x00\x00\x00rt\x01\x00\x00\x00gt\x01\x00\x00\x00yR\x06\x00\x00\x00t\x01\x00\x00\x... | code_fim | hard | {
"lang": "python",
"repo": "MzZak/Geretongers",
"path": "/__scan_bug_untuk_internet_gratis__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>a))
plt.savefig('./tmp/base/{0:5s},{1:5d}.png'.format(a,j), dpi=100)
plt.close()
for i in range(16):
plt.subplot(4,4,i+1)
plt.imshow(solver.net.blobs['conv1'].data[0,i,:,:])
plt.axis('off')
plt.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9,hspace=0, wspace=0.05)
a="conv1"
... | code_fim | hard | {
"lang": "python",
"repo": "wujiyang/FaceDataSetTools",
"path": "/show_feature_map_during_training.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wujiyang/FaceDataSetTools path: /show_feature_map_during_training.py
import caffe
import numpy as np
import matplotlib.pyplot as plt
caffe.set_device(1)
caffe.set_mode_gpu()
solver = caffe.SGDSolver('./gait.prototxt')
#solver.net.copy_from('kenel256_att_iter_2000.caffemodel')
for j in range(150... | code_fim | hard | {
"lang": "python",
"repo": "wujiyang/FaceDataSetTools",
"path": "/show_feature_map_during_training.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: phiradet/torchtext-th path: /torchtext_th/utils.py
import os
import math
from glob import glob
from collections import defaultdict
from typing import List, Optional, Dict, Any, Iterator
import torch
import numpy as np
def generate_best_dataset_index(corpus_dir: str,
... | code_fim | hard | {
"lang": "python",
"repo": "phiradet/torchtext-th",
"path": "/torchtext_th/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_params(model: torch.nn.Module, requires_grad: Optional[bool] = None):
return [p for p in model.parameters()
if requires_grad is None or p.requires_grad == requires_grad]
def get_summary_writer(log_dir: Optional[str] = None):
try:
import os
import pytz
... | code_fim | hard | {
"lang": "python",
"repo": "phiradet/torchtext-th",
"path": "/torchtext_th/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rene84/cfn-python-lint path: /src/cfnlint/rules/templates/ApproachingLimitDescription.py
"""
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: MIT-0
"""
from cfnlint.rules import CloudFormationLintRule
from cfnlint.rules import RuleMatch
from cfnlint.help... | code_fim | medium | {
"lang": "python",
"repo": "rene84/cfn-python-lint",
"path": "/src/cfnlint/rules/templates/ApproachingLimitDescription.py",
"mode": "psm",
"license": "MIT-0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Basic Matching"""
matches = []
description = cfn.template.get('Description', '')
if LIMITS['threshold'] * LIMITS['template']['description'] < len(description) <= LIMITS['template']['description']:
message = 'The template description ({0} bytes) is approaching... | code_fim | hard | {
"lang": "python",
"repo": "rene84/cfn-python-lint",
"path": "/src/cfnlint/rules/templates/ApproachingLimitDescription.py",
"mode": "spm",
"license": "MIT-0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ArtyomMoiseev/ButtonsUrfuProject path: /src/tg.py
# -*- coding: utf-8 -*-
import os
import time
import tgdraws
import rrdtool
import buttonsrrd
import telebot
from telebot import types
rrd_path = "weather.rrd"
bot = telebot.TeleBot("")
@bot.message_handler(commands=['start', 'help'])
def send_... | code_fim | hard | {
"lang": "python",
"repo": "ArtyomMoiseev/ButtonsUrfuProject",
"path": "/src/tg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> markup = types.ReplyKeyboardMarkup(row_width=1)
itembtn1 = types.KeyboardButton('Экспорт базы данных')
itembtn2 = types.KeyboardButton('⭐ Умный экспорт')
itembtn3 = types.KeyboardButton('Назад')
markup.add(itembtn1,itembtn2,itembtn3)
bot.send_message(message.from_user.id, "Выберите... | code_fim | hard | {
"lang": "python",
"repo": "ArtyomMoiseev/ButtonsUrfuProject",
"path": "/src/tg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@bot.message_handler(regexp="Погода за сегодня")
def handle_message(message):
graph_temp = open("day_graph_temp",'rb')
graph_hum = open("day_graph_hum",'rb')
graph_pressure = open("day_graph_pressure",'rb')
bot.send_photo(message.from_user.id, graph_temp)
bot.send_photo(message.from_us... | code_fim | hard | {
"lang": "python",
"repo": "ArtyomMoiseev/ButtonsUrfuProject",
"path": "/src/tg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: S3Infosoft/mvr-insights path: /app/activities/tasks.py
from . import utils
from schedules.models import Schedule
from django.core.mail import EmailMessage
from background_task import background
from datetime import datetime
import json
import requests
@background(schedule=1)
def get_ota_dat... | code_fim | hard | {
"lang": "python",
"repo": "S3Infosoft/mvr-insights",
"path": "/app/activities/tasks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@background(schedule=1)
def email_report(subject, message, sender, recipient,
s_day, s_month, s_year, e_day, e_month, e_year, model):
start_date = datetime(year=s_year, month=s_month, day=s_day).date()
end_date = datetime(year=e_year, month=e_month, day=e_day).date()
email =... | code_fim | hard | {
"lang": "python",
"repo": "S3Infosoft/mvr-insights",
"path": "/app/activities/tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Data PreProc app.
Args:
image: Image to use
entrypoint: User script to launch
output_path: Url-like path to save the processes compressed images
input_path: Url-like path to fetch the imagenet dataset
input_md5: Hash of the input imagenet dataset file
... | code_fim | hard | {
"lang": "python",
"repo": "bowangbj/torchx",
"path": "/examples/apps/datapreproc/component.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bowangbj/torchx path: /examples/apps/datapreproc/component.py
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
D... | code_fim | medium | {
"lang": "python",
"repo": "bowangbj/torchx",
"path": "/examples/apps/datapreproc/component.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.root = None
def traverse_breadth_first(self, fn):
"""Traverse the tree breadth first, executing the specified function on each node."""
queue = deque([self.root])
while len(queue) > 0:
node = queue.popleft()
fn(node)
queue.exte... | code_fim | medium | {
"lang": "python",
"repo": "danielhgasparin/algorithms-python",
"path": "/algorithms/tree.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danielhgasparin/algorithms-python path: /algorithms/tree.py
"""Tree module."""
from collections import deque
class Node:
"""Node of a tree."""
def __init__(self, value):
self.value = value
self.children = []
<|fim_suffix|>
def remove(self, value):
"""Remove... | code_fim | medium | {
"lang": "python",
"repo": "danielhgasparin/algorithms-python",
"path": "/algorithms/tree.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: blogsley/blogsley-flask path: /server/blogsley_flask/jwt.py
import jwt
import json
import datetime
from loguru import logger
from __blogsley__ import app
from blogsley_flask.user import User
<|fim_suffix|> for key, value in kwargs.items():
payload[key] = value
return jwt.encode(... | code_fim | medium | {
"lang": "python",
"repo": "blogsley/blogsley-flask",
"path": "/server/blogsley_flask/jwt.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> token = decode_auth_token(info.context)
logger.debug(f"token: {token}")
return User.query.get(token['id'])
def decode_auth_token(request):
auth_token = request.headers.get('Authorization')
if not auth_token or auth_token == 'null':
return None
logger.debug(f"auth_token: {a... | code_fim | medium | {
"lang": "python",
"repo": "blogsley/blogsley-flask",
"path": "/server/blogsley_flask/jwt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> validate(instance=input_config, schema=schema)<|fim_prefix|># repo: cszelesbbs/servicecatalogenabler2 path: /test_validate_input_file.py
import json
import yaml
from jsonschema import validate
import os
<|fim_middle|>configuration_file = os.environ['SC_ENABLER_CONF']
with open(configuration_file, '... | code_fim | hard | {
"lang": "python",
"repo": "cszelesbbs/servicecatalogenabler2",
"path": "/test_validate_input_file.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_input_params():
validate(instance=input_config, schema=schema)<|fim_prefix|># repo: cszelesbbs/servicecatalogenabler2 path: /test_validate_input_file.py
import json
import yaml
from jsonschema import validate
import os
configuration_file = os.environ['SC_ENABLER_CONF']
<|fim_middle|>with ... | code_fim | medium | {
"lang": "python",
"repo": "cszelesbbs/servicecatalogenabler2",
"path": "/test_validate_input_file.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cszelesbbs/servicecatalogenabler2 path: /test_validate_input_file.py
import json
import yaml
from jsonschema import validate
import os
<|fim_suffix|>def test_input_params():
validate(instance=input_config, schema=schema)<|fim_middle|>configuration_file = os.environ['SC_ENABLER_CONF']
with o... | code_fim | hard | {
"lang": "python",
"repo": "cszelesbbs/servicecatalogenabler2",
"path": "/test_validate_input_file.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jcoffi/FuturesAndOptionsTradingSimulation path: /scripts/downloadCmeSettlementFiles.py
#!/usr/bin/python
import os
import urllib3
from urllib3 import PoolManager
from urllib.parse import urlparse
from ftplib import FTP
import shutil
from datetime import date
#DEFINE SUPPORTING FUNCTIONS
def get... | code_fim | hard | {
"lang": "python",
"repo": "jcoffi/FuturesAndOptionsTradingSimulation",
"path": "/scripts/downloadCmeSettlementFiles.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#RENAME TEMP DIRECTORY BASED ON FIRST DATA FILE
url = url_list[0].strip().split(',')[0]
file_name = temp_dir + '/' + url.split('/')[-1]
newPath = '../settlement_data_files/' + getDateFromFirstLineOfDataFile_YYYYMMDD(file_name)
if os.path.exists(newPath): shutil.rmtree(newPath)
os.rename(temp_dir,newPath)<... | code_fim | hard | {
"lang": "python",
"repo": "jcoffi/FuturesAndOptionsTradingSimulation",
"path": "/scripts/downloadCmeSettlementFiles.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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