text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>def subtree(n, m, depth=1):
return (
[Leaf(next(ids)) for i in range(random.randint(0, n))] +
[Folder(next(ids), subtree(n, m, depth-1)) for i in range(random.randint(0, m if depth > 1 else 0))]
) if depth > 0 else []
ids = Sequence()
projects = {}
for i in range(NUM_PROJECTS):
... | code_fim | medium | {
"lang": "python",
"repo": "cbare/Etudes",
"path": "/python/big_tree.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> own_profiles = Student.objects.filter(user=self.request.user, active=True)
pupil_profiles = Student.objects.filter(section__mentor__user=self.request.user, active=True)
coordinator_student_profiles = Student.objects.filter(
section__course__coordinator__user=self.reques... | code_fim | hard | {
"lang": "python",
"repo": "arinchang/csm_web",
"path": "/csm_web/scheduler/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @action(detail=True, methods=['patch'])
def drop(self, request, pk=None):
student = get_object_or_error(self.get_queryset(), pk=pk)
is_coordinator = student.section.course.coordinator_set.filter(user=request.user).exists()
if student.user != request.user and not is_coordina... | code_fim | hard | {
"lang": "python",
"repo": "arinchang/csm_web",
"path": "/csm_web/scheduler/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arinchang/csm_web path: /csm_web/scheduler/views.py
ols import groupby
from rest_framework import mixins, status, viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework.exceptions import PermissionDenied
from .models import Course, S... | code_fim | hard | {
"lang": "python",
"repo": "arinchang/csm_web",
"path": "/csm_web/scheduler/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for idx in range(2):
yield {"inputs/x": idx}
infer_input_fn = deepr.readers.GeneratorReader(
_infer_gen, output_types={"inputs/x": tf.int32}, output_shapes={"inputs/x": ()}
)
predict_proto = multiply.jobs.PredictProto(
path_model=f"{path_model}/optimized_s... | code_fim | hard | {
"lang": "python",
"repo": "yiLinMaster/deepr",
"path": "/tests/unit/jobs/test_jobs_optimize_saved_model.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Convert SavedModel to one proto file
optimize_saved_model = deepr.jobs.OptimizeSavedModel(
path_saved_model=f"{path_model}/saved_model",
path_optimized_model=f"{path_model}/optimized_saved_model",
graph_name="_model.pb",
feeds=["inputs/x"],
fetch="y_pred",... | code_fim | hard | {
"lang": "python",
"repo": "yiLinMaster/deepr",
"path": "/tests/unit/jobs/test_jobs_optimize_saved_model.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yiLinMaster/deepr path: /tests/unit/jobs/test_jobs_optimize_saved_model.py
# pylint: disable=no-value-for-parameter,unexpected-keyword-arg
"""Tests for optimize_saved_model"""
import logging
import tensorflow as tf
import deepr
import deepr.examples.multiply as multiply
logging.basicConfig(l... | code_fim | hard | {
"lang": "python",
"repo": "yiLinMaster/deepr",
"path": "/tests/unit/jobs/test_jobs_optimize_saved_model.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zkid18/pandas-profiling path: /src/pandas_profiling/report/presentation/flavours/widget/__init__.py
from pandas_profiling.report.presentation.flavours.widget.frequency_table import (
WidgetFrequencyTable,
)
from pandas_profiling.report.presentation.flavours.widget.frequency_table_small import... | code_fim | hard | {
"lang": "python",
"repo": "zkid18/pandas-profiling",
"path": "/src/pandas_profiling/report/presentation/flavours/widget/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from pandas_profiling.report.presentation.flavours.widget.toggle_button import (
WidgetToggleButton,
)
from pandas_profiling.report.presentation.flavours.widget.warnings import WidgetWarnings
from pandas_profiling.report.presentation.flavours.widget.collapse import WidgetCollapse<|fim_prefix|># repo: ... | code_fim | hard | {
"lang": "python",
"repo": "zkid18/pandas-profiling",
"path": "/src/pandas_profiling/report/presentation/flavours/widget/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test():
""" Prints each puzzle, with its number"""
for i, line in enumerate(sudokus()):
print(f"Puzzle number {i}")
print(line)
if __name__ == '__main__':
test()<|fim_prefix|># repo: cadamswaite/sudoku path: /file_parser.py
""" Program for getting grid,ans pairs from the ... | code_fim | hard | {
"lang": "python",
"repo": "cadamswaite/sudoku",
"path": "/file_parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cadamswaite/sudoku path: /file_parser.py
""" Program for getting grid,ans pairs from the tests dir """
<|fim_suffix|> """ Prints each puzzle, with its number"""
for i, line in enumerate(sudokus()):
print(f"Puzzle number {i}")
print(line)
if __name__ == '__main__':
tes... | code_fim | hard | {
"lang": "python",
"repo": "cadamswaite/sudoku",
"path": "/file_parser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
@dispatch()
def get_chat_tab(self):
pass
@dispatch()
def get_state_viewer_tab(self):
pass
@dispatch()
def get_editor_tab(self):
pass
@dispatch()
def get_frame(self):
pass
@dispatch()
def is_running(self):
ret... | code_fim | hard | {
"lang": "python",
"repo": "ppijbb/PyOpenDial",
"path": "/gui/gui_frame.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ppijbb/PyOpenDial path: /gui/gui_frame.py
import logging
import sys
from collections import Collection
from PyQt5 import QtWidgets, QtGui
from PyQt5.QtCore import Qt
from multipledispatch import dispatch
from bn.distribs.categorical_table import CategoricalTable
from bn.values.none_val import N... | code_fim | hard | {
"lang": "python",
"repo": "ppijbb/PyOpenDial",
"path": "/gui/gui_frame.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @dispatch()
def is_domain_saved(self):
pass
@dispatch()
def get_menu(self):
pass
@dispatch()
def new_domain(self):
pass
# TODO: 'File' type
@dispatch(object)
def new_domain(self, file_to_save):
pass
@dispatch()
def open_domain... | code_fim | hard | {
"lang": "python",
"repo": "ppijbb/PyOpenDial",
"path": "/gui/gui_frame.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>app.blueprint(swagger_blueprint)
app.blueprint(health)
app.blueprint(user)
setup_database_creation_listener(app, DATABASE)
@app.route("/")
async def default(request):
return json({"message": "hello Sanic!"})<|fim_prefix|># repo: pmlynarek/weather-station path: /weather/weather.py
from sanic impor... | code_fim | medium | {
"lang": "python",
"repo": "pmlynarek/weather-station",
"path": "/weather/weather.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pmlynarek/weather-station path: /weather/weather.py
from sanic import Sanic
from sanic.response import json
from sanic_openapi import swagger_blueprint, doc
from weather.blueprint.health import health
from weather.model import DATABASE
from weather.blueprint.user import user
from weather.util imp... | code_fim | medium | {
"lang": "python",
"repo": "pmlynarek/weather-station",
"path": "/weather/weather.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>app.blueprint(health)
app.blueprint(user)
setup_database_creation_listener(app, DATABASE)
@app.route("/")
async def default(request):
return json({"message": "hello Sanic!"})<|fim_prefix|># repo: pmlynarek/weather-station path: /weather/weather.py
from sanic import Sanic
from sanic.response import... | code_fim | medium | {
"lang": "python",
"repo": "pmlynarek/weather-station",
"path": "/weather/weather.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class ModelDependencyTreeTableWidget(DisplayWidget):
template = Template("""
{% load mvc_utils %}
<table id="{{path}}_table_" style="width:100%;">
<thead id="{{path}}_head_">
<tr>
{% if tree.has_dependency %}
<th >
<span style="padding-right:10px;">
<i style='cursor... | code_fim | hard | {
"lang": "python",
"repo": "rockychen-dpaw/django-mvc",
"path": "/django_mvc/inspectmodel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rockychen-dpaw/django-mvc path: /django_mvc/inspectmodel.py
is UNTOUCHED
pass
elif self.protect_status == self.DELETE:
self.protect_status = status
elif self.protect_status & self.DELETE_REL == self.DELETE_REL:
#the upstream relationship is dele... | code_fim | hard | {
"lang": "python",
"repo": "rockychen-dpaw/django-mvc",
"path": "/django_mvc/inspectmodel.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> output = self.render()
return self.empty_line_re.sub("\n",output)
def __str__(self):
return "{}({})".format(self.modelname,self.pk)
class ModelDependencyTreeTableWidget(DisplayWidget):
template = Template("""
{% load mvc_utils %}
<table id="{{path}}_table_" style="width:... | code_fim | hard | {
"lang": "python",
"repo": "rockychen-dpaw/django-mvc",
"path": "/django_mvc/inspectmodel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># TODO: processing scheme 1 - arbitrarily sample one of the replicas
finalTrainIds = []
for obsId in uniqueObsId:
if len(replicasIndex[obsId]) != 0:
tempList = [obsId]
for replicasId in replicasIndex[obsId]:
tempList.append(replicasId)
tempVal = resample(temp... | code_fim | hard | {
"lang": "python",
"repo": "caifazhou/UJIndoorLoc_cleaning",
"path": "/UJI_data_cleaning_preprocessing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: caifazhou/UJIndoorLoc_cleaning path: /UJI_data_cleaning_preprocessing.py
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
from sklearn.metrics.pairwise import euclidean_distances
from sklearn.utils import resample
import os
def flattenList(l=No... | code_fim | hard | {
"lang": "python",
"repo": "caifazhou/UJIndoorLoc_cleaning",
"path": "/UJI_data_cleaning_preprocessing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self._user.get_access_level() == 3:
return self._system.level_3_tasks()
return self.__do_common_message(3)
def __do_common_message(self, level: int):
return f"ERROR: User '{self._user.get_name()}' is not authorized to do level-{level} tasks"<|fim_pr... | code_fim | hard | {
"lang": "python",
"repo": "Jonathan-aguilar/DAS_Sistemas",
"path": "/Ago-Dic-2020/Practicas/1er-Parcial/Examen/proxy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jonathan-aguilar/DAS_Sistemas path: /Ago-Dic-2020/Practicas/1er-Parcial/Examen/proxy.py
import abc
class User:
def __init__(self, **kwargs):
self._name = kwargs.get('name', 'Anonymous')
self._access_level = kwargs.get('access_level', 1)
def get_name(self):
return... | code_fim | medium | {
"lang": "python",
"repo": "Jonathan-aguilar/DAS_Sistemas",
"path": "/Ago-Dic-2020/Practicas/1er-Parcial/Examen/proxy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._access_level
def __str__(self):
return f"Name: {self._name}, Level: {self._access_level}"
class Subject:
@abc.abstractmethod
def level_1_tasks(self) -> str:
pass
@abc.abstractmethod
def level_2_tasks(self) -> str:
pass
@a... | code_fim | medium | {
"lang": "python",
"repo": "Jonathan-aguilar/DAS_Sistemas",
"path": "/Ago-Dic-2020/Practicas/1er-Parcial/Examen/proxy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: The-Politico/politico-civic-stump path: /stump/viewsets/appearance_type.py
from stump.models import AppearanceType
from stump.serializers import AppearanceTypeSerializer
<|fim_suffix|>
class AppearanceTypeViewSet(BaseViewSet):
queryset = AppearanceType.objects.all()
serializer_class = Ap... | code_fim | easy | {
"lang": "python",
"repo": "The-Politico/politico-civic-stump",
"path": "/stump/viewsets/appearance_type.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> queryset = AppearanceType.objects.all()
serializer_class = AppearanceTypeSerializer<|fim_prefix|># repo: The-Politico/politico-civic-stump path: /stump/viewsets/appearance_type.py
from stump.models import AppearanceType
from stump.serializers import AppearanceTypeSerializer
<|fim_middle|>from .b... | code_fim | medium | {
"lang": "python",
"repo": "The-Politico/politico-civic-stump",
"path": "/stump/viewsets/appearance_type.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /tests/components/lacrosse_view/__init__.py
"""Tests for the LaCrosse View integration."""
from lacrosse_view import Location, Sensor
MOCK_ENTRY_DATA = {
"username": "test-username",
"password": "test-password",
"id": "1",
"name": "Test",
}
TEST_SENSOR ... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/tests/components/lacrosse_view/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>,
sensor_field_names=["WindSpeed"],
location=Location(id="1", name="Test"),
data={"WindSpeed": {"values": [{"s": 2}], "unit": "degrees_celsius"}},
permissions={"read": True},
model="Test",
)
TEST_NO_FIELD_SENSOR = Sensor(
name="Test",
device_id="1",
type="Test",
sensor_... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/tests/components/lacrosse_view/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: maribedran/speakerfight path: /organization/migrations/0001_initial.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-10-04 02:51
from __future__ import unicode_literals
from django.db import migrations, models
import django_extensions.db.fields
<|fim_suffix|> operations = [
... | code_fim | medium | {
"lang": "python",
"repo": "maribedran/speakerfight",
"path": "/organization/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Organization',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100, verbose_name='Name')),
... | code_fim | medium | {
"lang": "python",
"repo": "maribedran/speakerfight",
"path": "/organization/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # GSM training. Most of the params will be very close to zero.
gsm_train(cfg=gsm_config, init_hdf5=gsm_init_weights, nonzero_ratio=nonzero_ratio)
gsm_trained_weights = os.path.join(gsm_config.output_dir, 'finish.hdf5')
# Set such params to zero. Now you get a sparse model
pruned_we... | code_fim | hard | {
"lang": "python",
"repo": "DingXiaoH/GSM-SGD",
"path": "/gsm/gsm_prune_pipeline.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DingXiaoH/GSM-SGD path: /gsm/gsm_prune_pipeline.py
from ding_train import ding_train
from gsm.gsm_train import gsm_train
import os
from utils.misc import read_hdf5, save_hdf5
from collections import OrderedDict
import numpy as np
from ding_test import general_test
def get_mask_by_magnitude(weigh... | code_fim | hard | {
"lang": "python",
"repo": "DingXiaoH/GSM-SGD",
"path": "/gsm/gsm_prune_pipeline.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: basic-bgnr/lox_interpreter path: /src/NativeCalls.py
from parser import CallableExpression, LoxInstance
class NativeTimer(CallableExpression):
def __init__(self):
import time
self.func = time.time_ns
self.name = ''
def register(self, name, environmen... | code_fim | hard | {
"lang": "python",
"repo": "basic-bgnr/lox_interpreter",
"path": "/src/NativeCalls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.name = name
environment.put(self.name, self)
def arity(self):
return 0
def call(self, *args, resolver=None):
arg_one = args[0] # item to push
# print(arg_one)
self.internal_array.append(... | code_fim | hard | {
"lang": "python",
"repo": "basic-bgnr/lox_interpreter",
"path": "/src/NativeCalls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Insight-book/data-science-from-scratch path: /scratch/databases.py
users = [[0, "Hero", 0],
[1, "Dunn", 2],
[2, "Sue", 3],
[3, "Chi", 3]]
from typing import Tuple, Sequence, List, Any, Callable, Dict, Iterator
from collections import defaultdict
# A few type aliases w... | code_fim | hard | {
"lang": "python",
"repo": "Insight-book/data-science-from-scratch",
"path": "/scratch/databases.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sql_users = (
users
.join(user_interests)
.where(lambda row: row["interest"] == "SQL")
.select(keep_columns=["name"])
)
assert len(sql_users) == 2
sql_user_names = {row["name"] for row in sql_users}
assert sql_user_names == {"Hero", "Sue"}... | code_fim | hard | {
"lang": "python",
"repo": "Insight-book/data-science-from-scratch",
"path": "/scratch/databases.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
assert len(stats_by_length) == 3
assert stats_by_length.columns == ["name_length", "min_user_id", "num_users"]
def first_letter_of_name(row: Row) -> str:
return row["name"][0] if row["name"] else ""
def average_num_friends(rows: List[Row]) -> float:
retu... | code_fim | hard | {
"lang": "python",
"repo": "Insight-book/data-science-from-scratch",
"path": "/scratch/databases.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: odys-z/hello path: /challenge/leet/easy/q401.py
'''
401. Binary Watch
https://leetcode.com/problems/binary-watch/
A binary watch has 4 LEDs on the top which represent the hours (0-11),
and the 6 LEDs on the bottom represent the minutes (0-59).
Each LED represents a zero or one, with the least s... | code_fim | hard | {
"lang": "python",
"repo": "odys-z/hello",
"path": "/challenge/leet/easy/q401.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> t.assertCountEqual(["0:00"], s.readBinaryWatch(0))
t.assertCountEqual(["1:00", "2:00", "4:00", "8:00", "0:01", "0:02", "0:04", "0:08", "0:16", "0:32"],
s.readBinaryWatch(1))
t.assertCountEqual(["0:03","0:05","0:06","0:09","0:10","0:12","0:17","0:18","0:20","0:24","0:33",... | code_fim | hard | {
"lang": "python",
"repo": "odys-z/hello",
"path": "/challenge/leet/easy/q401.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rhysdg/tensorflow-onnx path: /tf2onnx/tflite_handlers/__init__.py
# Copyright (c) Microsoft Corporation. All rights reserv<|fim_suffix|>andlers module"""
from . import (
tfl_math,
tfl_nn,
tfl_controlflow,
tfl_direct,
tfl_tensor
)<|fim_middle|>ed.
# Licensed under the MIT lice... | code_fim | easy | {
"lang": "python",
"repo": "rhysdg/tensorflow-onnx",
"path": "/tf2onnx/tflite_handlers/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>nn,
tfl_controlflow,
tfl_direct,
tfl_tensor
)<|fim_prefix|># repo: rhysdg/tensorflow-onnx path: /tf2onnx/tflite_handlers/__init__.py
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
"""tf2onnx.tflite_h<|fim_middle|>andlers module"""
from . import ... | code_fim | easy | {
"lang": "python",
"repo": "rhysdg/tensorflow-onnx",
"path": "/tf2onnx/tflite_handlers/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adadesions/chicken_farm path: /cal_avg_day.py
if __name__ == '__main__':
with open('avg_log.txt', 'r') as file:
header = True
data = []
for line in file.readlines():
if header:
header = False
<|fim_suffix|>for x in data])
... | code_fim | hard | {
"lang": "python",
"repo": "adadesions/chicken_farm",
"path": "/cal_avg_day.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> continue
data.append(line.split('\n')[0].split(','))
sum_ = sum([float(x[0]) for x in data])
avg_height = sum_/len(data)
print('Avg height: {:.2f} cm'.format(avg_height))<|fim_prefix|># repo: adadesions/chicken_farm path: /cal_avg_day.py
if __name__ == '__ma... | code_fim | hard | {
"lang": "python",
"repo": "adadesions/chicken_farm",
"path": "/cal_avg_day.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>BGRA)
cv2.imshow("test", img)
cv2.waitKey(0)<|fim_prefix|># repo: michelecos/py_imagecompose path: /opencv_sample.py
import numpy as np
import cv2
# Load a color image in grayscale
img = cv2.imread('imag<|fim_middle|>es/bimbo_soldato/input.jpg', cv2.COLOR_BGR2 | code_fim | easy | {
"lang": "python",
"repo": "michelecos/py_imagecompose",
"path": "/opencv_sample.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: michelecos/py_imagecompose path: /opencv_sample.py
import numpy as np
import cv2
# Load a col<|fim_suffix|>es/bimbo_soldato/input.jpg', cv2.COLOR_BGR2BGRA)
cv2.imshow("test", img)
cv2.waitKey(0)<|fim_middle|>or image in grayscale
img = cv2.imread('imag | code_fim | easy | {
"lang": "python",
"repo": "michelecos/py_imagecompose",
"path": "/opencv_sample.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tikubonn/moff path: /moff/node/text_node.py
from .template import Node
from moff.util import sanitize
<|fim_suffix|>
def __init__(self, text):
super().__init__()
self.text = text
# override
def write(self, stream):
stream.write(
sanitize(str(self... | code_fim | easy | {
"lang": "python",
"repo": "Tikubonn/moff",
"path": "/moff/node/text_node.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> stream.write(
sanitize(str(self.text)))<|fim_prefix|># repo: Tikubonn/moff path: /moff/node/text_node.py
from .template import Node
from moff.util import sanitize
class TextNode (Node):
<|fim_middle|>
def __init__(self, text):
super().__init__()
self.text = text... | code_fim | medium | {
"lang": "python",
"repo": "Tikubonn/moff",
"path": "/moff/node/text_node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: acc-cosc-1336/cosc-1336-spring-2018-Carol-COSC1336 path: /src/assignments/assignment11/good_customer.py
#create import statement for Customer class
#from customer import Customer
from src.assignments.assignment11.customer import Customer
'''
Create a GoodCustomer class that inherits from Customer... | code_fim | medium | {
"lang": "python",
"repo": "acc-cosc-1336/cosc-1336-spring-2018-Carol-COSC1336",
"path": "/src/assignments/assignment11/good_customer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, first_name, last_name, phone_number):
Customer.__init__(self, first_name, last_name, phone_number)
self.discount = .10
def get_discount_rate (self):
return self.discount<|fim_prefix|># repo: acc-cosc-1336/cosc-1336-spring-2018-Carol-COSC1336 path: /src... | code_fim | medium | {
"lang": "python",
"repo": "acc-cosc-1336/cosc-1336-spring-2018-Carol-COSC1336",
"path": "/src/assignments/assignment11/good_customer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thiagocaiubi/magic-modules path: /.ci/magic-modules/pyutils/strutils_test.py
from strutils import *
import unittest
import os
from github import Github
class TestStringUtils(unittest.TestCase):
def test_find_dependency_urls(self):
test_urls = [
"https://github.com/repo-owner/repo-A/... | code_fim | hard | {
"lang": "python",
"repo": "thiagocaiubi/magic-modules",
"path": "/.ci/magic-modules/pyutils/strutils_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>More text
```releasenote
```
```test
```
"""
release_notes = [
("release-note:foo", "new message foo"),
("release-note:bar", "new message bar"),
]
replaced = set_release_notes(release_notes, downstream_body)
# Existing non-code-block text should still be in body
s... | code_fim | hard | {
"lang": "python",
"repo": "thiagocaiubi/magic-modules",
"path": "/.ci/magic-modules/pyutils/strutils_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # test som sjekker at __str__-funkjsonen funker riktig
def test_post_str(self):
self.assertEqual(self.testpost.__str__(), 'Testtittel44b171fe-37f3-45bd-9c27-242c75236a64')
# test som sjekker at riktig url blir returnert for like
def test_post_get_like_url(self):
self.asser... | code_fim | hard | {
"lang": "python",
"repo": "Eliassg/TDT4140",
"path": "/afkforum/forumApp/tests/test_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Eliassg/TDT4140 path: /afkforum/forumApp/tests/test_models.py
from django.test import TestCase
from django.contrib.auth.models import User
from forumApp.models import Post, UserProfile, Emne, ReportPost, get_post_by_id, get_posts_by_emne, Comment, \
ReportComment, get_comments_by_post, get_co... | code_fim | hard | {
"lang": "python",
"repo": "Eliassg/TDT4140",
"path": "/afkforum/forumApp/tests/test_models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #################### Other functions ########################
# her testes funksjoner som ikke er direkte knyttet opp mot noen klasser i models-filen
# test som sjekker om man får riktig post når man har id
def test_get_post_by_id(self):
self.assertEquals(get_post_by_id(self.testp... | code_fim | hard | {
"lang": "python",
"repo": "Eliassg/TDT4140",
"path": "/afkforum/forumApp/tests/test_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MaryanneNjeri/Gallery path: /Gallery/urls.py
from django.conf.urls import url
from . import views
from django.conf import settings
from django.conf.urls.static import static
<|fim_suffix|>]
if settings.DEBUG:
urlpatterns+= static(settings.MEDIA_URL,document_root=settings.MEDIA_ROOT)<|fim_mid... | code_fim | hard | {
"lang": "python",
"repo": "MaryanneNjeri/Gallery",
"path": "/Gallery/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>]
if settings.DEBUG:
urlpatterns+= static(settings.MEDIA_URL,document_root=settings.MEDIA_ROOT)<|fim_prefix|># repo: MaryanneNjeri/Gallery path: /Gallery/urls.py
from django.conf.urls import url
from . import views
from django.conf import settings
from django.conf.urls.static import static
<|fim_mid... | code_fim | hard | {
"lang": "python",
"repo": "MaryanneNjeri/Gallery",
"path": "/Gallery/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StorjOld/cloud-manager path: /settings.py
DATABASE_PATH = "postgres://storj:so-secret@localhost/storj"
TEST_DB_PATH = "postgres://postgres:<|fim_suffix|>al_settings import *
except ImportError:
pass<|fim_middle|>postgres@localhost/storj_test"
try:
from loc | code_fim | easy | {
"lang": "python",
"repo": "StorjOld/cloud-manager",
"path": "/settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StorjOld/cloud-manager path: /settings.py
DATABASE_PATH = "postgres://storj:so-secret@local<|fim_suffix|>al_settings import *
except ImportError:
pass<|fim_middle|>host/storj"
TEST_DB_PATH = "postgres://postgres:postgres@localhost/storj_test"
try:
from loc | code_fim | medium | {
"lang": "python",
"repo": "StorjOld/cloud-manager",
"path": "/settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>al_settings import *
except ImportError:
pass<|fim_prefix|># repo: StorjOld/cloud-manager path: /settings.py
DATABASE_PATH = "postgres://storj:so-secret@local<|fim_middle|>host/storj"
TEST_DB_PATH = "postgres://postgres:postgres@localhost/storj_test"
try:
from loc | code_fim | medium | {
"lang": "python",
"repo": "StorjOld/cloud-manager",
"path": "/settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jackkkkklee/Online-course-performance-analysis-system path: /attentiveness-detection-master/EmotionDetection/head_orientation.py
import os
import cv2
import numpy as np
import dlib
import time
import math
data_dir = r"E:\aut\RD\project\attentiveness-detection-master\test_datasets"
save_d... | code_fim | hard | {
"lang": "python",
"repo": "jackkkkklee/Online-course-performance-analysis-system",
"path": "/attentiveness-detection-master/EmotionDetection/head_orientation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # cv2.putText(draw,output_pitch,(20,80),cv2.FONT_HERSHEY_SIMPLEX,.5,(0,255,0))
print(output_pitch)
# Roll:
if roll_degree < 0:
output_roll = "face bends to the right:" + str(abs(roll_degree)) + " degrees"
# cv2.putText(draw,output_roll,(20,120),cv2.FONT_HERSHEY_... | code_fim | hard | {
"lang": "python",
"repo": "jackkkkklee/Online-course-performance-analysis-system",
"path": "/attentiveness-detection-master/EmotionDetection/head_orientation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_pose_estimation(img_size, image_points):
# 3D model points.
model_points = np.array([
(6.825897, 6.760612, 4.402142), # 33 left brow left corner
(1.330353, 7.122144, 6.903745), # 29 left brow right corner
(-1.330353, 7.122144, 6.903745), # 34 right brow left ... | code_fim | hard | {
"lang": "python",
"repo": "jackkkkklee/Online-course-performance-analysis-system",
"path": "/attentiveness-detection-master/EmotionDetection/head_orientation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Trevol/ENet-Real-Time-Semantic-Segmentation path: /experiments/pytorch_tests.py
import torch
import torch.version
import time
def main():
devices = dict(
cuda0=torch.device('cuda:0'),
cpu=torch.device('cuda:0')
)
<|fim_suffix|> # TODO: test argmax on cuda:0
devic... | code_fim | hard | {
"lang": "python",
"repo": "Trevol/ENet-Real-Time-Semantic-Segmentation",
"path": "/experiments/pytorch_tests.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> output = torch.randn([3, 4, 4], device=devices['cuda0'])
# output[0, :, :] = 3
# output[1, :, :] = 5
# output[2, :, :] = 2
print(output.argmax(0))
print(output.max(0))
print('#################')
for v in output.max(0):
print('-------------------------')
prin... | code_fim | medium | {
"lang": "python",
"repo": "Trevol/ENet-Real-Time-Semantic-Segmentation",
"path": "/experiments/pytorch_tests.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>.metrics import Metric
from contest_app.models.votes import Vote
from contest_app.models.points import Point
from contest_app.models.hall_of_fame import HallOfFame<|fim_prefix|># repo: entpy/beauty-and-pics path: /beauty_and_pics/contest_app/models/__init__.py
from django.contrib import admin
from contes... | code_fim | medium | {
"lang": "python",
"repo": "entpy/beauty-and-pics",
"path": "/beauty_and_pics/contest_app/models/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: entpy/beauty-and-pics path: /beauty_and_pics/contest_app/models/__init__.py
from django.contrib import admin
from contest_app.models.contest_types import Contest_Type
from contest_app.models.contests import Contest
from contest_app.models<|fim_suffix|>.models.points import Point
from contest_app.... | code_fim | medium | {
"lang": "python",
"repo": "entpy/beauty-and-pics",
"path": "/beauty_and_pics/contest_app/models/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def failed_message(self):
return (
"The command `%(command)s` failed with exit code %(exit_code) stdout %(stdout)s stderr %(stderr)s"
) % vars(self)
def __str__(self):
if self.is_not_installed():
return self.not_installed_message()
else:
... | code_fim | medium | {
"lang": "python",
"repo": "reclamador/document_clipper",
"path": "/document_clipper/exceptions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: reclamador/document_clipper path: /document_clipper/exceptions.py
import os
class ShellCommandError(Exception):
"""This error is raised when a shell.run returns a non-zero exit code
(meaning the command failed).
Based on textract, thxs :)
"""
def __init__(self, command, exit... | code_fim | hard | {
"lang": "python",
"repo": "reclamador/document_clipper",
"path": "/document_clipper/exceptions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return (
"The command `%(command)s` failed with exit code %(exit_code) stdout %(stdout)s stderr %(stderr)s"
) % vars(self)
def __str__(self):
if self.is_not_installed():
return self.not_installed_message()
else:
return self.failed_me... | code_fim | medium | {
"lang": "python",
"repo": "reclamador/document_clipper",
"path": "/document_clipper/exceptions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qixinbo/imagepy path: /sciapp/demo/demo4_io_action.py
import sys
sys.path.append('../../')
from sciapp import App, Manager
from sciapp.action import SciAction
import os.path as osp
from skimage.io import imread, imsave
from skimage.data import camera
from pandas import read_csv
import pandas as ... | code_fim | hard | {
"lang": "python",
"repo": "qixinbo/imagepy",
"path": "/sciapp/demo/demo4_io_action.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ReaderManager = Manager()
ReaderManager.add('png', imread, tag='img')
ReaderManager.add('csv', read_csv, tag='tab')
#ReaderManager.add('dicom', 'xxx')
def image_read_demo3():
app = App()
FileReader().start(app)
print('images:', app.img_names(), 'tables:', app.table_names())
WriterManager = ... | code_fim | hard | {
"lang": "python",
"repo": "qixinbo/imagepy",
"path": "/sciapp/demo/demo4_io_action.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class FileReader(SciAction):
'''supporting different type, image/table or other...'''
name = 'FileReader'
def start(self, app):
# input the file path, or just a.png/a.csv for test
path = app.get_path()
name, ext = osp.splitext(osp.split(path)[1])
readers = Read... | code_fim | hard | {
"lang": "python",
"repo": "qixinbo/imagepy",
"path": "/sciapp/demo/demo4_io_action.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jacklinquan/mp_modbus path: /test/HUAWEI-SUN-2000/main.py
import network
import time
import mp_modbus_master as mmm
import struct
w = network.WLAN()
w.active(True)
w.connect("SUN2000-BT20C0141259", "changeme")
<|fim_suffix|>m = mmm.modbus_tcp_client("192.168.200.1", 502)
m.connect()
for _ in r... | code_fim | medium | {
"lang": "python",
"repo": "jacklinquan/mp_modbus",
"path": "/test/HUAWEI-SUN-2000/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>while not w.isconnected():
time.sleep(1)
print(".")
m = mmm.modbus_tcp_client("192.168.200.1", 502)
m.connect()
for _ in range(10):
time.sleep(1)
f = m.read_holding_registers(32069, 1)
v = struct.unpack(">h", f.data)[0]/10
print(v)<|fim_prefix|># repo: jacklinquan/mp_modbus path... | code_fim | medium | {
"lang": "python",
"repo": "jacklinquan/mp_modbus",
"path": "/test/HUAWEI-SUN-2000/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skyforcetw/smart-watt-hour-meter path: /lora_server/server_main.py
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 3 23:36:17 2019
@author: skyfo
"""
from __future__ import print_function
import serial
import time
import struct
baud = 9600
port = 'com9'
ser = serial.Serial(port, baud) # open ... | code_fim | hard | {
"lang": "python",
"repo": "skyforcetw/smart-watt-hour-meter",
"path": "/lora_server/server_main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> binary_mode = False
filename = 'store.jpg'
binary_count = 0
while True:
if binary_mode:
line = ser.read()
binary_count+=1
else:
# 获得接收缓冲区字符
line = ser.readline()
line = line.strip('\r\n')
if l... | code_fim | medium | {
"lang": "python",
"repo": "skyforcetw/smart-watt-hour-meter",
"path": "/lora_server/server_main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> raise NotImplementedError('save_group')
def save_file(self, lfile):
raise NotImplementedError('save_file')
def save_partition(self, partition):
"""
If a new partition, create site partitions with default parameters.
"""
raise NotImplementedErro... | code_fim | hard | {
"lang": "python",
"repo": "SmartDataProjects/dynamo",
"path": "/lib/core/components/persistency.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SmartDataProjects/dynamo path: /lib/core/components/persistency.py
import time
import logging
from dynamo.dataformat import Block
from dynamo.utils.classutil import get_instance
LOG = logging.getLogger(__name__)
class InventoryStore(object):
"""
Interface definition for local inventory... | code_fim | hard | {
"lang": "python",
"repo": "SmartDataProjects/dynamo",
"path": "/lib/core/components/persistency.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Stat
exclude = ()<|fim_prefix|># repo: jfgp/xcero path: /stats/forms.py
# -*- coding: utf-8 -*-
""" Forms for the stats application. """
# standard library
# django
from django import forms
<|fim_middle|># models
from .models import Stat
# views
from base.forms import BaseModel... | code_fim | medium | {
"lang": "python",
"repo": "jfgp/xcero",
"path": "/stats/forms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jfgp/xcero path: /stats/forms.py
# -*- coding: utf-8 -*-
""" Forms for the stats application. """
# standard library
# django
from django import forms
# models
from .models import Stat
# views
from base.forms import BaseModelForm
<|fim_suffix|> class Meta:
model = Stat
exc... | code_fim | medium | {
"lang": "python",
"repo": "jfgp/xcero",
"path": "/stats/forms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>This module contains most of the core abstractions and abstract classes used across all
of ParlAI. This includes teachers, worlds, models, general utility functions, and much
more.
"""<|fim_prefix|># repo: facebookresearch/ParlAI path: /parlai/core/__init__.py
#!/usr/bin/env python3
# Copyright (c) Face... | code_fim | easy | {
"lang": "python",
"repo": "facebookresearch/ParlAI",
"path": "/parlai/core/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebookresearch/ParlAI path: /parlai/core/__init__.py
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
<|fim_suffix|>This module contains most of... | code_fim | easy | {
"lang": "python",
"repo": "facebookresearch/ParlAI",
"path": "/parlai/core/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> enabled = self.q(css='[name="_.allPipelines"]').attrs('checked')[0]
return enabled.lower() == 'true'
def get_elapsed_time_format(self):
return self.value_of_first_element_named('_.elapsedTimeFormat')<|fim_prefix|># repo: 04n0/jenkins-configuration path: /e2e/pages/timestamper... | code_fim | hard | {
"lang": "python",
"repo": "04n0/jenkins-configuration",
"path": "/e2e/pages/timestamper_config_subpage.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 04n0/jenkins-configuration path: /e2e/pages/timestamper_config_subpage.py
from __future__ import absolute_import
from . import JENKINS_HOST
from bok_choy.page_object import PageObject
from .configuration_page import ConfigurationSubPageMixIn
class TimestamperConfigSubPage(ConfigurationSubPageMi... | code_fim | medium | {
"lang": "python",
"repo": "04n0/jenkins-configuration",
"path": "/e2e/pages/timestamper_config_subpage.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ncarrara/age-of-triggers path: /aot/model/controller/goals.py
class Goals:
"""Represents examples goals
Attributes:
conquest (int): 1 conquest
unknown1 (int): unknown
relics (int): number of relics required
unknown2 (int): unknown
exploration (int... | code_fim | hard | {
"lang": "python",
"repo": "ncarrara/age-of-triggers",
"path": "/aot/model/controller/goals.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = "Goals: \n"
part1 = "\tConquest: {}\n\tRelics: {}\n".format(
self.conquest, self.relics)
part2 = "\tExploration: {}\n\tAllModes: {}\n".format(
self.exploration, self.all)
part3 = "\tCustomMode: {}\n\tScore: {}\n".format(self.mode, self.time)
... | code_fim | hard | {
"lang": "python",
"repo": "ncarrara/age-of-triggers",
"path": "/aot/model/controller/goals.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
conquest (int): 1 conquest
unknown1 (int): unknown
relics (int): number of relics required
unknown2 (int): unknown
exploration (int): map exploratino required in %
all (int): all conditions
mode (int): ?
... | code_fim | hard | {
"lang": "python",
"repo": "ncarrara/age-of-triggers",
"path": "/aot/model/controller/goals.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@inline_async
def test():
r = yield Async(add,(2,3))
print(r)
r = yield Async(add, (2, 3))
print(r)
test()<|fim_prefix|># repo: GuiltyD/PythonCookbook path: /Chapter 7/回调函数.py
from functools import wraps
from queue import Queue
def async_func(func,args, *,callback):
res = func(*args)
callback(re... | code_fim | hard | {
"lang": "python",
"repo": "GuiltyD/PythonCookbook",
"path": "/Chapter 7/回调函数.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GuiltyD/PythonCookbook path: /Chapter 7/回调函数.py
from functools import wraps
from queue import Queue
def async_func(func,args, *,callback):
res = func(*args)
callback(res)
# return res
class Async:
def __init__(self,func,args):
self.func = func
self.args = args
class Myqueue:
def _... | code_fim | medium | {
"lang": "python",
"repo": "GuiltyD/PythonCookbook",
"path": "/Chapter 7/回调函数.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """New Thread Execution
Starts a new thread to run the start_compilation method
"""
from threading import Thread
from ..libraries.I18n import I18n
_ = I18n().translate
thread = Thread(target=self.start_compilation)
thread.start()
T... | code_fim | medium | {
"lang": "python",
"repo": "gepd/Deviot",
"path": "/platformio/compile.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gepd/Deviot path: /platformio/compile.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
from sys import exit
from .initialize import Initialize
fr... | code_fim | medium | {
"lang": "python",
"repo": "gepd/Deviot",
"path": "/platformio/compile.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.add_option('lib_extra_dirs')
# check if there is a new speed to overwrite
self.add_option('upload_speed')
# add src_dir option if it's neccesary
self.override_src()
cmd = ['run', '-e ', self.board_id]
self.run_command(cmd)
self.after... | code_fim | hard | {
"lang": "python",
"repo": "gepd/Deviot",
"path": "/platformio/compile.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>sterServers
__all__ = [Network, MasterServers, GameServers]<|fim_prefix|># repo: DaRealFreak/Teeworlds-ServerInfo path: /tw_serverinfo/__init__.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
from tw_serverinf<|fim_middle|>o.network import Network
from tw_serverinfo.game_servers import GameServers
from tw_... | code_fim | medium | {
"lang": "python",
"repo": "DaRealFreak/Teeworlds-ServerInfo",
"path": "/tw_serverinfo/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ort GameServers
from tw_serverinfo.master_servers import MasterServers
__all__ = [Network, MasterServers, GameServers]<|fim_prefix|># repo: DaRealFreak/Teeworlds-ServerInfo path: /tw_serverinfo/__init__.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
from tw_serverinf<|fim_middle|>o.network import Network
... | code_fim | medium | {
"lang": "python",
"repo": "DaRealFreak/Teeworlds-ServerInfo",
"path": "/tw_serverinfo/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DaRealFreak/Teeworlds-ServerInfo path: /tw_serverinfo/__init__.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
from tw_serverinf<|fim_suffix|>ort GameServers
from tw_serverinfo.master_servers import MasterServers
__all__ = [Network, MasterServers, GameServers]<|fim_middle|>o.network import Network
... | code_fim | medium | {
"lang": "python",
"repo": "DaRealFreak/Teeworlds-ServerInfo",
"path": "/tw_serverinfo/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras path: /Chapter 7/elmo_from_tfhub.py
import tensorflow as tf
import tensorflow_hub as hub
# module_url = "https://tfhub.dev/google/tf2-preview/elmo/2"
# embed = hub.KerasLayer(module_<|fim_suffix|> like green eggs and ham",
"would ... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras",
"path": "/Chapter 7/elmo_from_tfhub.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> like green eggs and ham",
"would you eat them in a box"
],
signature="default",
as_dict=True
)["elmo"]
print(embeddings.shape)<|fim_prefix|># repo: PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras path: /Chapter 7/elmo_from_tfhub.py
import tensorflow as tf
import tensorflow... | code_fim | medium | {
"lang": "python",
"repo": "PacktPublishing/Deep-Learning-with-TensorFlow-2-and-Keras",
"path": "/Chapter 7/elmo_from_tfhub.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: loads/loads-broker path: /loadsbroker/client/base.py
class BaseCommand(object):
"""Base Command Class"""
arguments = {}
def __init__(self, session, root):
self.session = session
self.root = root
def __call__(self, args):
return self.session.get(self.roo... | code_fim | medium | {
"lang": "python",
"repo": "loads/loads-broker",
"path": "/loadsbroker/client/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> normalized = option.replace('-', '_')
if normalized in args:
options[normalized] = getattr(args, normalized)
return options<|fim_prefix|># repo: loads/loads-broker path: /loadsbroker/client/base.py
class BaseCommand(object):
"""Base Command Class"""
... | code_fim | medium | {
"lang": "python",
"repo": "loads/loads-broker",
"path": "/loadsbroker/client/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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