text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: managedkaos/AWS-Python-Boto3 path: /rds/delete_db_instance.py
#!/usr/bin/env python
# a script to delete an rds instance
<|fim_suffix|># create an rds client
rds = boto3.client('rds')
try:
# delete the instance and catch the response
response = rds.delete_db_instance(
DBInstance... | code_fim | medium | {
"lang": "python",
"repo": "managedkaos/AWS-Python-Boto3",
"path": "/rds/delete_db_instance.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># create an rds client
rds = boto3.client('rds')
try:
# delete the instance and catch the response
response = rds.delete_db_instance(
DBInstanceIdentifier=db,
SkipFinalSnapshot=True)
# print the response if there are no exceptions
print response
# if there is an exceptio... | code_fim | medium | {
"lang": "python",
"repo": "managedkaos/AWS-Python-Boto3",
"path": "/rds/delete_db_instance.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ebrahimebrahim/wordgen2 path: /phonological_embedding.py
import numpy as np
import pickle
class PhonologicalEmbedding(object):
""" Manages conversion of phoible ipa segments to points in euclidean space.
Points tend to be close when those ipa segments tend to be allophones.
T... | code_fim | hard | {
"lang": "python",
"repo": "ebrahimebrahim/wordgen2",
"path": "/phonological_embedding.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ipa_seg (string) : a single unicode ipa segment as would appear in phoible or as could be output by epitran
segs (iterable of strings) : set of segments in which to search for nearest neighbor
Returns string, the element of segs which is nearest to ipa_se... | code_fim | hard | {
"lang": "python",
"repo": "ebrahimebrahim/wordgen2",
"path": "/phonological_embedding.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def epitran_to_phoible(self,epitran_ipa):
phoible_ipa = epitran_ipa
for a,b in PhonologicalEmbedding.__epitran_phoible_replacements.items():
phoible_ipa = phoible_ipa.replace(a,b)
return phoible_ipa
def to_phoible_fts(self,ipa_seg):
""" Convert a singl... | code_fim | hard | {
"lang": "python",
"repo": "ebrahimebrahim/wordgen2",
"path": "/phonological_embedding.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _attr_device_class = SensorDeviceClass.TEMPERATURE
_attr_native_unit_of_measurement = UnitOfTemperature.CELSIUS
def __init__(self, name, mon):
"""Initialize a sensor."""
self.mon = mon
self._name = name
@property
def name(self):
"""Return the name of t... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/skybeacon/sensor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /homeassistant/components/skybeacon/sensor.py
"""Support for Skybeacon temperature/humidity Bluetooth LE sensors."""
from __future__ import annotations
import logging
import threading
from uuid import UUID
from pygatt import BLEAddressType
from pygatt.backends import C... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/skybeacon/sensor.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def extra_state_attributes(self):
"""Return the state attributes of the sensor."""
return {ATTR_DEVICE: "SKYBEACON", ATTR_MODEL: 1}
class Monitor(threading.Thread, SensorEntity):
"""Connection handling."""
def __init__(self, hass, mac, name):
"""Constru... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/skybeacon/sensor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return(self.arguments.get('--category_groups', None))
def _category_groups_slug(self):
category_groups = 'all-categories'
if self.category_groups:
category_groups = self.category_groups.replace(',', '-')
return(category_groups)
@property
def file(s... | code_fim | hard | {
"lang": "python",
"repo": "otrenav/tabelog-scrapy",
"path": "/helpers/arguments.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: otrenav/tabelog-scrapy path: /helpers/arguments.py
# -*- coding: utf-8 -*-
import sys
import datetime
import constants
class Arguments(object):
SCRAPY_DIRECTORY = './scrapy/'
SCRAPY_COMMAND = 'scrapy crawl restaurants -o '
DATE = datetime.datetime.now().strftime('%Y-%m-%d')
d... | code_fim | hard | {
"lang": "python",
"repo": "otrenav/tabelog-scrapy",
"path": "/helpers/arguments.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: topiaruss/django-kronos path: /kronos/settings.py
import os
import sys
from django.conf import settings
KRONOS_PYTHON = getattr(settings, 'KRONOS_PYTHON', sys.executable)
KRONOS_MAN<|fim_suffix|>)
PROJECT_MODULE = sys.modules['.'.join(settings.SETTINGS_MODULE.split('.')[:-1])]
KRONOS_POSTFIX = ... | code_fim | medium | {
"lang": "python",
"repo": "topiaruss/django-kronos",
"path": "/kronos/settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>)
PROJECT_MODULE = sys.modules['.'.join(settings.SETTINGS_MODULE.split('.')[:-1])]
KRONOS_POSTFIX = getattr(settings, 'KRONOS_POSTFIX', '')
KRONOS_PREFIX = getattr(settings, 'KRONOS_PREFIX', '')
KRONOS_ENV = '\n'.join(getattr(settings, 'KRONOS_ENV', '').split('\\n'))<|fim_prefix|># repo: topiaruss/django-... | code_fim | medium | {
"lang": "python",
"repo": "topiaruss/django-kronos",
"path": "/kronos/settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shiroyuki/tama path: /tama/wsrpc.py
import re
import sys
import time
from tori.centre import settings as app_settings
from tornado import gen
from tama.service import NotFoundError
class GhostCensor(object):
def __init__(self, broadcaster):
self.broadcaster = broadcaster
def... | code_fim | hard | {
"lang": "python",
"repo": "shiroyuki/tama",
"path": "/tama/wsrpc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> response.update({
'error': False,
'name': fs_node.name,
'path': fs_node.referred_path,
'type': fs_node.mimetype,
'data': fs_node.content,
'is_dir': fs_node.is_dir,
'is_file': fs_node.is... | code_fim | hard | {
"lang": "python",
"repo": "shiroyuki/tama",
"path": "/tama/wsrpc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># all the commands to run
print("Going to run following commands (%d):" % (len(commands)))
for command in commands:
print("-", command)
# run all commands
parallel.run(commands)<|fim_prefix|># repo: mvdwerve/price-representation-research path: /train_all.py
import parallel
loss = [
"InfoNCE",
... | code_fim | hard | {
"lang": "python",
"repo": "mvdwerve/price-representation-research",
"path": "/train_all.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mvdwerve/price-representation-research path: /train_all.py
import parallel
loss = [
"InfoNCE",
"VAE",
"BCE-Movement",
"BCE-Up-Movement",
"BCE-Anomaly",
"BCE-Future-Anomaly",
]
bars = ["time", "volume", "dollars"]
commands = []
<|fim_suffix|># all the commands to run
pri... | code_fim | hard | {
"lang": "python",
"repo": "mvdwerve/price-representation-research",
"path": "/train_all.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = [path("metrics", exports.ExportToDjangoView, name="prometheus-django-metrics")]<|fim_prefix|># repo: korfuri/django-prometheus path: /django_prometheus/urls.py
from django.urls import path
<|fim_middle|>from django_prometheus import exports
| code_fim | easy | {
"lang": "python",
"repo": "korfuri/django-prometheus",
"path": "/django_prometheus/urls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: korfuri/django-prometheus path: /django_prometheus/urls.py
from django.urls import path
<|fim_suffix|>urlpatterns = [path("metrics", exports.ExportToDjangoView, name="prometheus-django-metrics")]<|fim_middle|>from django_prometheus import exports
| code_fim | easy | {
"lang": "python",
"repo": "korfuri/django-prometheus",
"path": "/django_prometheus/urls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ws1hope/self-supervised_change_detetction path: /train_DSFA.py
from __future__ import print_function
import os
import time
import torch
import matplotlib.pyplot as plt
import numpy as np
import argparse
from torch.utils.data import DataLoader
from utils.util import adjust_learning_rate,... | code_fim | hard | {
"lang": "python",
"repo": "ws1hope/self-supervised_change_detetction",
"path": "/train_DSFA.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
# parse the args
args = parse_option()
# set flags for GPU processing if available
if torch.cuda.is_available():
args.use_gpu = True
args.device = 'cuda'
else:
args.use_gpu = False
args.device = 'cpu'
# set the data load... | code_fim | hard | {
"lang": "python",
"repo": "ws1hope/self-supervised_change_detetction",
"path": "/train_DSFA.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
parser = argparse.ArgumentParser()
requiredNamed = parser.add_argument_group('required named arguments')
requiredNamed.add_argument('--inputPath', dest='dataset',
metavar='dataset.sparql',
help='sparql dat... | code_fim | hard | {
"lang": "python",
"repo": "DeNederlandscheBank/nqm",
"path": "/src/splitter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dataset_file = os.path.splitext(args.dataset)[0]
query_file = dataset_file + '-train_val' + ".ql"
nl_file = dataset_file + '-train_val' + ".nl"
out_dir = os.path.splitext(args.outdir)[0]
train_split = int(args.split)
try:
assert 1 < train_split <= 100
except AssertionEr... | code_fim | hard | {
"lang": "python",
"repo": "DeNederlandscheBank/nqm",
"path": "/src/splitter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DeNederlandscheBank/nqm path: /src/splitter.py
#!/usr/bin/env python
"""
Split data set intro training and validation part.
Jan-Marc Glowienke, Intern at De Nederlandsche Bank 2021
"""
import argparse
import io
import os
from sklearn.model_selection import train_test_split
def split_datasets(... | code_fim | hard | {
"lang": "python",
"repo": "DeNederlandscheBank/nqm",
"path": "/src/splitter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tokens = [token for token in nlp(text) if not token.is_stop]
return [token.norm_ for token in tokens]<|fim_prefix|># repo: dbradf/disaster-tweets path: /src/disaster_tweets/tokenizer.py
from typing import List
import spacy
nlp = spacy.load("en")
<|fim_middle|>
def tokenize(text: str) -> List[st... | code_fim | easy | {
"lang": "python",
"repo": "dbradf/disaster-tweets",
"path": "/src/disaster_tweets/tokenizer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dbradf/disaster-tweets path: /src/disaster_tweets/tokenizer.py
from typing import List
import spacy
<|fim_suffix|>def tokenize(text: str) -> List[str]:
tokens = [token for token in nlp(text) if not token.is_stop]
return [token.norm_ for token in tokens]<|fim_middle|>nlp = spacy.load("en"... | code_fim | easy | {
"lang": "python",
"repo": "dbradf/disaster-tweets",
"path": "/src/disaster_tweets/tokenizer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> r = list_schedules(testclient, 20, "createdAt")
assert r.outputs
return r.raw_response
def get_schedule_tester(testclient, schedule_id):
from Opsgeniev2 import get_schedule
r = get_schedule(testclient, schedule_id)
assert r.outputs
return r.raw_response
def get_on_call_tes... | code_fim | hard | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/Opsgeniev2/Integrations/Opsgeniev2/Opsgeniev2_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: demisto/content path: /Packs/Opsgeniev2/Integrations/Opsgeniev2/Opsgeniev2_test.py
import pytest
import os
from Opsgeniev2 import Client
import json
from unittest.mock import call
"""
Test script for the OpsGenieV2 Integration
Envvars:
API_TOKEN: If configured, runs integration tests.
G... | code_fim | hard | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/Opsgeniev2/Integrations/Opsgeniev2/Opsgeniev2_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def list_schedule_tester(testclient):
from Opsgeniev2 import list_schedules
r = list_schedules(testclient, 20, "createdAt")
assert r.outputs
return r.raw_response
def get_schedule_tester(testclient, schedule_id):
from Opsgeniev2 import get_schedule
r = get_schedule(testclient,... | code_fim | hard | {
"lang": "python",
"repo": "demisto/content",
"path": "/Packs/Opsgeniev2/Integrations/Opsgeniev2/Opsgeniev2_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bqmoreland/EASwift path: /algs2e_python/Chapter 05/python/circular_queue.py
import random
import tkinter as tk
import tkinter.font as tk_font
from tkinter import messagebox
class DrawingCanvas():
""" A canvas drawing manager."""
def __init__(self, canvas, wxmin, wymin, wxmax, wy... | code_fim | hard | {
"lang": "python",
"repo": "bqmoreland/EASwift",
"path": "/algs2e_python/Chapter 05/python/circular_queue.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Make a font for drawing.
self.label_font = tk_font.Font(family="Times New Roman", size=12)
# Draw the initial queue.
self.draw_queue()
# Force focus so Alt+F4 closes this window and not the Python shell.
self.item_entry.focus_force()
self... | code_fim | hard | {
"lang": "python",
"repo": "bqmoreland/EASwift",
"path": "/algs2e_python/Chapter 05/python/circular_queue.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pemukl/german-bertabs path: /utils_nlp/models/xlnet/common.py
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# This script reuses some code from
# https://github.com/huggingface/transformers/blob/master/examples/utils_glue.py
from enum import Enum
... | code_fim | hard | {
"lang": "python",
"repo": "pemukl/german-bertabs",
"path": "/utils_nlp/models/xlnet/common.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tokens = tokens_a + [sep_token]
segment_ids = [sequence_a_segment_id] * len(tokens)
if cls_token_at_end:
tokens = tokens + [cls_token]
segment_ids = segment_ids + [cls_token_segment_id]
else:
tokens = [cls_tok... | code_fim | hard | {
"lang": "python",
"repo": "pemukl/german-bertabs",
"path": "/utils_nlp/models/xlnet/common.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dask/dask-image path: /dask_image/ndfilters/_smooth.py
# -*- coding: utf-8 -*-
import scipy.ndimage
from ..dispatch._dispatch_ndfilters import dispatch_uniform_filter
from . import _utils
from ._gaussian import gaussian_filter
__all__ = [
"uniform_filter",
]
<|fim_suffix|>@_utils._update... | code_fim | medium | {
"lang": "python",
"repo": "dask/dask-image",
"path": "/dask_image/ndfilters/_smooth.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = image.map_overlap(
dispatch_uniform_filter(image),
depth=depth,
boundary=boundary,
dtype=image.dtype,
meta=image._meta,
size=size,
mode=mode,
cval=cval,
origin=origin
)
return result<|fim_prefix|># repo: dask/das... | code_fim | hard | {
"lang": "python",
"repo": "dask/dask-image",
"path": "/dask_image/ndfilters/_smooth.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _test_partial_sum_to_broadcast(
test_case, src_device_type, dst_device_type, src_device_num, dst_device_num
):
flow.clear_default_session()
flow.config.gpu_device_num(4)
func_config = flow.FunctionConfig()
func_config.default_data_type(flow.float)
func_config.default_logical_vi... | code_fim | hard | {
"lang": "python",
"repo": "ashing-zhang/oneflow",
"path": "/oneflow/python/test/ops/test_boxing_v2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @flow.global_function(function_config=func_config)
def multi_lbi_job(x: oft.Numpy.Placeholder((96, 96, 96))):
with flow.scope.placement(src_device_type, "0:0-" + str(src_device_num - 1)):
src_s0 = flow.identity(x.with_distribute(flow.distribute.split(0)))
src_s1 = f... | code_fim | hard | {
"lang": "python",
"repo": "ashing-zhang/oneflow",
"path": "/oneflow/python/test/ops/test_boxing_v2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ashing-zhang/oneflow path: /oneflow/python/test/ops/test_boxing_v2.py
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License... | code_fim | hard | {
"lang": "python",
"repo": "ashing-zhang/oneflow",
"path": "/oneflow/python/test/ops/test_boxing_v2.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: siqueiralex/topic-coherence path: /Topic_Evaluator/api/observed_coherence.py
"""
Author: Jey Han Lau
Date: May 2013
"""
import sys
import operator
import math
import codecs
import numpy as np
from collections import defaultdict
from .models import WordCount
def topic_coherence... | code_fim | hard | {
"lang": "python",
"repo": "siqueiralex/topic-coherence",
"path": "/Topic_Evaluator/api/observed_coherence.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def model_coherence(topics, metric, topns):
#read the topic file and compute the observed coherence
top_coherence = defaultdict(list) # {topicid: [tc]}
topic_tw = {} #{topicid: topN_topicwords}
for topic_id, line in enumerate(topics):
topic_list = line.split()[:max(topns)]
... | code_fim | hard | {
"lang": "python",
"repo": "siqueiralex/topic-coherence",
"path": "/Topic_Evaluator/api/observed_coherence.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if urls is None or len(urls) == 0:
return
for url in urls:
self.add_new_url(url)
def get_new_url(self):
new_url = self.new_urls.pop()
self.old_urls.add(new_url)
return new_url
def new_url_size(self):
return self.new_urls.__l... | code_fim | hard | {
"lang": "python",
"repo": "mysodalife/spider_program",
"path": "/chapter6/URLManager.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
self.new_urls = set()
self.old_urls = set()
def has_new_urls(self):
return self.new_url_size() != 0
def add_new_url(self, url):
if url is None:
return
if url not in self.new_urls and url not in self.old_urls:
... | code_fim | medium | {
"lang": "python",
"repo": "mysodalife/spider_program",
"path": "/chapter6/URLManager.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mysodalife/spider_program path: /chapter6/URLManager.py
# -*- coding: utf-8 -*-
# @Time : 2018/10/13 10:00
# @Author : sodalife
# @File : URLManager.py
# @Description : URL调度器(负责存储已抓取和未抓取的URL)
class URLManager(object):
def __init__(self):
self.new_urls = set(... | code_fim | hard | {
"lang": "python",
"repo": "mysodalife/spider_program",
"path": "/chapter6/URLManager.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: project-star/h path: /h/migrations/versions/2494fea98d2d_add_the_token_table.py
"""Add the token table.
Revision ID: 2494fea98d2d
Revises: 4886d7a14074
Create Date: 2016-02-15 11:20:00.787358
"""
<|fim_suffix|>def upgrade():
token_table = op.create_table(
'token',
sa.Column... | code_fim | hard | {
"lang": "python",
"repo": "project-star/h",
"path": "/h/migrations/versions/2494fea98d2d_add_the_token_table.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> token_table = op.create_table(
'token',
sa.Column('created',
sa.DateTime,
server_default=sa.func.now(),
nullable=False),
sa.Column('updated',
sa.DateTime,
server_default=sa.func.now(),
... | code_fim | hard | {
"lang": "python",
"repo": "project-star/h",
"path": "/h/migrations/versions/2494fea98d2d_add_the_token_table.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "<Uninstall {} ({})>".format(
self.package.pretty_name, self.format_version(self.package)
)<|fim_prefix|># repo: wagnerluis1982/poetry path: /src/poetry/installation/operations/uninstall.py
from typing import TYPE_CHECKING
from typing import Optional
from poetry.instal... | code_fim | hard | {
"lang": "python",
"repo": "wagnerluis1982/poetry",
"path": "/src/poetry/installation/operations/uninstall.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wagnerluis1982/poetry path: /src/poetry/installation/operations/uninstall.py
from typing import TYPE_CHECKING
from typing import Optional
from poetry.installation.operations.operation import Operation
if TYPE_CHECKING:
from poetry.core.packages.package import Package
class Uninstall(Oper... | code_fim | hard | {
"lang": "python",
"repo": "wagnerluis1982/poetry",
"path": "/src/poetry/installation/operations/uninstall.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, jid, password, nick):
JoinTestMUCBot.__init__(self, jid, password, nick)
def participant_offline(self, presence):
if presence['muc'].getNick() == SECOND_BOT:
self.disconnect()
class SecondBot(JoinTestMUCBot):
def __init__(self, jid, password, ... | code_fim | medium | {
"lang": "python",
"repo": "allan-simon/xmpp-conformance-suite",
"path": "/xep-0045/iq_admin_set_role_from_moderator_to_owner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: allan-simon/xmpp-conformance-suite path: /xep-0045/iq_admin_set_role_from_moderator_to_owner.py
from sleekxmpp.exceptions import IqError
from sleekxmpp.exceptions import IqTimeout
from ConformanceUtils import init_test
from ConformanceUtils import print_test_description
from config import OWNER... | code_fim | hard | {
"lang": "python",
"repo": "allan-simon/xmpp-conformance-suite",
"path": "/xep-0045/iq_admin_set_role_from_moderator_to_owner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CenterForOpenScience/osf.io path: /osf/metadata/serializers/datacite/datacite_json.py
import json
from osf.metadata.serializers import _base
from .datacite_tree_walker import DataciteTreeWalker
def _visit_tree_branch_json(parent, child_name: str, *, is_list=False, text=None, attrib=None):
... | code_fim | hard | {
"lang": "python",
"repo": "CenterForOpenScience/osf.io",
"path": "/osf/metadata/serializers/datacite/datacite_json.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return json.dumps(
self.metadata_as_dict(),
indent=2,
sort_keys=True,
)
def metadata_as_dict(self) -> dict:
root_dict = {}
walker = DataciteTreeWalker(self.basket, root_dict, _visit_tree_branch_json)
walker.walk(doi_override=... | code_fim | medium | {
"lang": "python",
"repo": "CenterForOpenScience/osf.io",
"path": "/osf/metadata/serializers/datacite/datacite_json.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: awslabs/aws-service-catalog-factory path: /servicecatalog_factory/workflow/portfolios/create_portfolio_task_test.py
# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
from unittest import skip
from servicecatalog_factory.workflow imp... | code_fim | medium | {
"lang": "python",
"repo": "awslabs/aws-service-catalog-factory",
"path": "/servicecatalog_factory/workflow/portfolios/create_portfolio_task_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setUp(self) -> None:
from servicecatalog_factory.workflow.portfolios import create_portfolio_task
self.module = create_portfolio_task
self.sut = self.module.CreatePortfolioTask(
**self.minimal_common_params,
region=self.region,
portfoli... | code_fim | hard | {
"lang": "python",
"repo": "awslabs/aws-service-catalog-factory",
"path": "/servicecatalog_factory/workflow/portfolios/create_portfolio_task_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> initial = name[0:1]
return initial
first_name = input('Enter you first name: ')
first_name_initial = get_initial(first_name)
last_name = input('Enter your last name: ')
last_name_initial = get_initial(last_name)
print('Your initials are: ' + first_name_initial \
+ last_name_initial)
... | code_fim | hard | {
"lang": "python",
"repo": "Hollow667/Programing_Languages",
"path": "/Python/Toturials/Yb/Microsoft Developer/PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6/0x29_0x30_Introducing Functions Python for Beginners [29 of 44]/code.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('task completed')
# Now I don't need the extra datetime prefix
print(datetime.now())
print()
print_time()
## What if I want a diiferent message displayed
from datetime import datetime
# print timestamps to see how long sections of code
# take to run
first_name = 'Susan'
... | code_fim | hard | {
"lang": "python",
"repo": "Hollow667/Programing_Languages",
"path": "/Python/Toturials/Yb/Microsoft Developer/PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6/0x29_0x30_Introducing Functions Python for Beginners [29 of 44]/code.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hollow667/Programing_Languages path: /Python/Toturials/Yb/Microsoft Developer/PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6/0x29_0x30_Introducing Functions Python for Beginners [29 of 44]/code.py
## Somtimes we copy and paste our code
import datetime
# print timestamps to see how long sections of code
#... | code_fim | hard | {
"lang": "python",
"repo": "Hollow667/Programing_Languages",
"path": "/Python/Toturials/Yb/Microsoft Developer/PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6/0x29_0x30_Introducing Functions Python for Beginners [29 of 44]/code.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: getsentry/changes path: /tests/changes/api/serializer/models/test_logsource.py
from datetime import datetime
from uuid import UUID
from changes.api.serializer import serialize
from changes.models.job import Job
from changes.models.jobstep import JobStep
from changes.models.log import LogSource
... | code_fim | medium | {
"lang": "python",
"repo": "getsentry/changes",
"path": "/tests/changes/api/serializer/models/test_logsource.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> logsource = LogSource(
id=UUID(hex='33846695b2774b29a71795a009e8168a'),
job_id=UUID(hex='2e18a7cbc0c24316b2ef9d41fea191d6'),
job=Job(id=UUID(hex='2e18a7cbc0c24316b2ef9d41fea191d6')),
step=JobStep(
id=UUID(hex='36c7af5e56aa4a7fbf076e13ac00a866'),
... | code_fim | medium | {
"lang": "python",
"repo": "getsentry/changes",
"path": "/tests/changes/api/serializer/models/test_logsource.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ber of isola: \t", len(nx.isolates(G))
#print " - Number of trian: \t", nx.triangles(G)
#print " - Clusturing coef: \t", nx.average_clustering(G)
#print " - Transitive rato: \t", nx.transitivity(G)<|fim_prefix|># repo: tchimih/NSD_project path: /engine/stat.py
import networkx as nx
def getSt... | code_fim | medium | {
"lang": "python",
"repo": "tchimih/NSD_project",
"path": "/engine/stat.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tchimih/NSD_project path: /engine/stat.py
import networkx as nx
def getStat(G):
print " \t\t\t STATISTICS ABOUT THE GRAPH:\n"
print " - Number of nodes: \t", len(G.nodes())
print " - Number of edges: \t", len(G.edges())
print " - Num<|fim_suffix|> - Clusturing coef: \t", nx.avera... | code_fim | medium | {
"lang": "python",
"repo": "tchimih/NSD_project",
"path": "/engine/stat.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> - Clusturing coef: \t", nx.average_clustering(G)
#print " - Transitive rato: \t", nx.transitivity(G)<|fim_prefix|># repo: tchimih/NSD_project path: /engine/stat.py
import networkx as nx
def getStat(G):
print " \t\t\t STATISTICS ABOUT THE GRAPH:\n"
print " - N<|fim_middle|>umber of nodes: \t... | code_fim | hard | {
"lang": "python",
"repo": "tchimih/NSD_project",
"path": "/engine/stat.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sorgerlab/indra path: /indra/assemblers/tsv/assembler.py
from __future__ import absolute_import, print_function, unicode_literals
from builtins import dict, str
import logging
from copy import copy
from indra.databases import get_identifiers_url
from indra.statements import *
from indra.util impo... | code_fim | hard | {
"lang": "python",
"repo": "sorgerlab/indra",
"path": "/indra/assemblers/tsv/assembler.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not statements:
self.statements = []
else:
self.statements = statements
def add_statements(self, stmts):
self.statements.extend(stmts)
def make_model(self, output_file, add_curation_cols=False, up_only=False):
"""Export the statements in... | code_fim | hard | {
"lang": "python",
"repo": "sorgerlab/indra",
"path": "/indra/assemblers/tsv/assembler.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for directory in settings.STATICFILES_DIRS:
directory = Path(abspath(directory))
if directory in path.parents:
return path.relative_to(directory)
def _get_bulma_css(self) -> List[str]:
"""Compiles the bulma css files for each theme and returns ... | code_fim | hard | {
"lang": "python",
"repo": "max1666/django-simple-bulma",
"path": "/django_simple_bulma/finders.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _get_bulma_css(self) -> List[str]:
"""Compiles the bulma css files for each theme and returns their relative paths."""
# If the user has the sass module installed in addition to libsass,
# warn the user and fail hard.
if not hasattr(sass, "libsass_version"):
... | code_fim | hard | {
"lang": "python",
"repo": "max1666/django-simple-bulma",
"path": "/django_simple_bulma/finders.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: max1666/django-simple-bulma path: /django_simple_bulma/finders.py
"""
Custom collectstatic finders.
These finders that can be used together with StaticFileStorage
objects to find files that should be collected by collectstatic.
"""
from os.path import abspath
from pathlib import Path
from typing... | code_fim | hard | {
"lang": "python",
"repo": "max1666/django-simple-bulma",
"path": "/django_simple_bulma/finders.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imclab/tilde path: /apps/tilting/tests/tilt_reverse.py
#!/usr/bin/env python
# Euler tilting angles extraction reverse test
# First, distort on the known angle, then extract tilting and check if it is the same
import os
import sys
import math
import random
from numpy import array
sys.path.inse... | code_fim | medium | {
"lang": "python",
"repo": "imclab/tilde",
"path": "/apps/tilting/tests/tilt_reverse.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>a = round(random.uniform(3.5, Tilting.OCTAHEDRON_BOND_LENGTH_LIMIT*2), 3)
phi = round(random.uniform(0, Tilting.MAX_TILTING_DEGREE), 3)
theta = round(random.uniform(0, Tilting.MAX_TILTING_DEGREE), 3)
psi = round(random.uniform(0, Tilting.MAX_TILTING_DEGREE), 3)
perovskite = crystal( \
[rando... | code_fim | hard | {
"lang": "python",
"repo": "imclab/tilde",
"path": "/apps/tilting/tests/tilt_reverse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># NB: perovskite.rotate_euler(phi=math.radians(phi), theta=math.radians(theta), psi=math.radians(psi))
# does not suit because of spatial orientation!
perovskite._masked_rotate(center=array([a*math.sqrt(2)/2, a, a*math.sqrt(2)/2]), axis='y', diff=math.radians(phi), mask=[0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1... | code_fim | hard | {
"lang": "python",
"repo": "imclab/tilde",
"path": "/apps/tilting/tests/tilt_reverse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "%(unit)s (%(date)s): %(flag)s" % {"unit": row.cr_shelter_unit.name,
"date": row.cr_shelter_inspection.date,
"flag": row.cr_shelter_flag.name,
... | code_fim | hard | {
"lang": "python",
"repo": "sahana/eden",
"path": "/modules/s3db/cr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sahana/eden path: /modules/s3db/cr.py
egistered"),
)
configure(tablename,
deduplicate = S3Duplicate(),
)
represent = S3Represent(lookup = tablename,
translate = True,
... | code_fim | hard | {
"lang": "python",
"repo": "sahana/eden",
"path": "/modules/s3db/cr.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sahana/eden path: /modules/s3db/cr.py
e(tablename,
Field("name", notnull=True,
label = T("Name"),
requires = [IS_NOT_EMPTY(),
IS_NOT_ONE_OF(db, "%s.name" % tablename,
... | code_fim | hard | {
"lang": "python",
"repo": "sahana/eden",
"path": "/modules/s3db/cr.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> index = magnitudes[:, int(t)].argmax()
pitch = pitches[index, int(t)]
return index, pitch
text_file = open("src/song/peak_times.txt", "w")
for peak_time in peak_times:
index, pitch = detect_pitch(y, sr, peak_time)
text_file.write("%s %s %s\r\n" % (peak_time, index, pitch))
text_file.close()
# C... | code_fim | hard | {
"lang": "python",
"repo": "ShrikeGames/bsaber_generator",
"path": "/peaks-detection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ShrikeGames/bsaber_generator path: /peaks-detection.py
# Detect audio peaks with Librosa (https://librosa.github.io/librosa/)
# imports
from __future__ import print_function
import librosa
import numpy as np
import datetime
# Load local audio file
y, sr = librosa.load('src/song/song.ogg')
# Ge... | code_fim | hard | {
"lang": "python",
"repo": "ShrikeGames/bsaber_generator",
"path": "/peaks-detection.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: suminb/bnd path: /alembic/versions/3d0a468b38f_add_a_json_data_column_to_evaluation.py
"""Add a JSON data column to Evaluation
Revision ID: 3d0a468b38f
Revises:
Create Date: 2015-07-10 01:31:20.578844
"""
# revision identifiers, used by Alembic.
revision = '3d0a468b38f'
down_revision = None
b... | code_fim | medium | {
"lang": "python",
"repo": "suminb/bnd",
"path": "/alembic/versions/3d0a468b38f_add_a_json_data_column_to_evaluation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def downgrade():
op.drop_column(table, column)<|fim_prefix|># repo: suminb/bnd path: /alembic/versions/3d0a468b38f_add_a_json_data_column_to_evaluation.py
"""Add a JSON data column to Evaluation
Revision ID: 3d0a468b38f
Revises:
Create Date: 2015-07-10 01:31:20.578844
"""
# revision identifiers,... | code_fim | medium | {
"lang": "python",
"repo": "suminb/bnd",
"path": "/alembic/versions/3d0a468b38f_add_a_json_data_column_to_evaluation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from alembic import op
import sqlalchemy as sa
from bnd.models import JsonType
table = 'evaluation'
column = 'data'
def upgrade():
op.add_column(table, sa.Column(column, JsonType))
def downgrade():
op.drop_column(table, column)<|fim_prefix|># repo: suminb/bnd path: /alembic/versions/3d0a468... | code_fim | medium | {
"lang": "python",
"repo": "suminb/bnd",
"path": "/alembic/versions/3d0a468b38f_add_a_json_data_column_to_evaluation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with mock.patch.multiple('builtins', **mocks):
runpy.run_module('freegames.guess')<|fim_prefix|># repo: wyuinche/2019-2-OSS-L8 path: /free-python-games-master/tests/test_guess.py
import random
import runpy
import unittest.mock as mock
def test_guess():
<|fim_middle|> random.seed(0)
m... | code_fim | medium | {
"lang": "python",
"repo": "wyuinche/2019-2-OSS-L8",
"path": "/free-python-games-master/tests/test_guess.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wyuinche/2019-2-OSS-L8 path: /free-python-games-master/tests/test_guess.py
import random
import runpy
import unittest.mock as mock
<|fim_suffix|> random.seed(0)
mock_input = mock.Mock()
mock_input.side_effect = [20, 70, 50]
mocks = {'print': lambda *args: None, 'input': mock_input... | code_fim | easy | {
"lang": "python",
"repo": "wyuinche/2019-2-OSS-L8",
"path": "/free-python-games-master/tests/test_guess.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_results(self):
result = {}
if not os.path.isdir(TMP_LOCATION + 'output/'):
return result
files = os.walk(TMP_LOCATION + 'output/').next()[1]
for f in files:
try:
result[f] = open(TMP_LOCATION + 'output/' +
... | code_fim | hard | {
"lang": "python",
"repo": "pradeepcsekar/cloudpulse",
"path": "/cloudpulse/operator/ansible/ansible_runner.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pradeepcsekar/cloudpulse path: /cloudpulse/operator/ansible/ansible_runner.py
# Copyright 2010-2011 OpenStack Foundation
# Copyright (c) 2013 Hewlett-Packard Development Company, L.P.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in complia... | code_fim | hard | {
"lang": "python",
"repo": "pradeepcsekar/cloudpulse",
"path": "/cloudpulse/operator/ansible/ansible_runner.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> runner = ansible.runner.Runner(
module_name='copy',
module_args='src=%s dest=%s' % (src, dest),
remote_user=self.remote_user,
inventory=self.inventory,
)
out = runner.run()
return out
def fetch(self, src, dest, flat='yes'... | code_fim | hard | {
"lang": "python",
"repo": "pradeepcsekar/cloudpulse",
"path": "/cloudpulse/operator/ansible/ansible_runner.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Case: no fields given.
"""
old_channel_id = 202211130006
new_channel_id = 202211130007
metadata = AutoModerationActionMetadataSendAlertMessage(old_channel_id)
copy = metadata.copy_with(channel_id = new_channel_id)
_assert_fields_set(copy)
vampytest.assert_eq(... | code_fim | hard | {
"lang": "python",
"repo": "HuyaneMatsu/hata",
"path": "/hata/discord/auto_moderation/action_metadata/tests/test__AutoModerationActionMetadataSendAlertMessage__utility.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> Case: no fields given.
"""
channel_id = 202211130005
metadata = AutoModerationActionMetadataSendAlertMessage(channel_id)
copy = metadata.copy_with()
_assert_fields_set(copy)
vampytest.assert_eq(metadata, copy)
vampytest.assert_is_not(metadata, copy)
def test__Au... | code_fim | medium | {
"lang": "python",
"repo": "HuyaneMatsu/hata",
"path": "/hata/discord/auto_moderation/action_metadata/tests/test__AutoModerationActionMetadataSendAlertMessage__utility.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HuyaneMatsu/hata path: /hata/discord/auto_moderation/action_metadata/tests/test__AutoModerationActionMetadataSendAlertMessage__utility.py
import vampytest
from ..alert_message import AutoModerationActionMetadataSendAlertMessage
from .test__AutoModerationActionMetadataSendAlertMessage__construct... | code_fim | hard | {
"lang": "python",
"repo": "HuyaneMatsu/hata",
"path": "/hata/discord/auto_moderation/action_metadata/tests/test__AutoModerationActionMetadataSendAlertMessage__utility.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mycyzs/fine path: /ziliao/lizhihui/home_application/common2.py
# -*- coding: utf-8 -*-
from conf.default import APP_ID, APP_TOKEN, BK_PAAS_HOST
import datetime
import time
import base64
# datetime转换为字符串
def datetime_to_str(d_time):
"""
:param d_time: datetime 对象
:return: 字符串，格式如：2008... | code_fim | hard | {
"lang": "python",
"repo": "mycyzs/fine",
"path": "/ziliao/lizhihui/home_application/common2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# 根据用户名查询业务
def search_business_by_user(client, username):
kwargs = {
"bk_app_code": APP_ID,
"bk_app_secret": APP_TOKEN,
"bk_username": username
}
res = client.cc.search_business(kwargs)
return res
# 根据业务和IP列表查询主机
def search_host_by_ip(client, biz_id, ip_list=[])... | code_fim | hard | {
"lang": "python",
"repo": "mycyzs/fine",
"path": "/ziliao/lizhihui/home_application/common2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> student_file = []
for i in listfile:
aa = Student(str(i[0]), str(i[1]), float(i[2]), float(i[3]), str(i[4]), str(i[5]))
student_file.append(aa)
# print(student_file)
# a.remove("FirstName")
# print(a)
stat_list = {}
grade_list = [] # All of the students grade
... | code_fim | hard | {
"lang": "python",
"repo": "applemorshed/PYTHON-Project-Student-Grade-Data-Statistics-Using-Class",
"path": "/Main.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> grade_list = [] # All of the students grade
for i in student_file:
grade_list.append(i.StudentGrade)
aveg_mean = np.mean(grade_list)
# Male average and variance
gender_list_M = []
gender_list_grade = []
for i in student_file:
if i.Gender == 'M':
ge... | code_fim | hard | {
"lang": "python",
"repo": "applemorshed/PYTHON-Project-Student-Grade-Data-Statistics-Using-Class",
"path": "/Main.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: applemorshed/PYTHON-Project-Student-Grade-Data-Statistics-Using-Class path: /Main.py
import csv
import json
import operator
import numpy as np
#from operator import attrgetter
src = open('studentFile.csv', "r+")
dst_csv_json = open("csvToJson.json", "w+")
dst_csv_json_gender_order = open("csvToJ... | code_fim | hard | {
"lang": "python",
"repo": "applemorshed/PYTHON-Project-Student-Grade-Data-Statistics-Using-Class",
"path": "/Main.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tomorrowdata/iottly-sdk-python path: /tests/test_iottly_sdk.py
if next_buf:
# msg_buf[:] = next_buf, * msg_buf[i+1:]
# Compatobility with Py 3.4
tmp = msg_buf[i+1:]
msg_buf[0] = next_buf
ms... | code_fim | hard | {
"lang": "python",
"repo": "tomorrowdata/iottly-sdk-python",
"path": "/tests/test_iottly_sdk.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tomorrowdata/iottly-sdk-python path: /tests/test_iottly_sdk.py
args)
m.__name__ = name
return m
Mock = mock_wrapper
import os
import time
import shutil
import tempfile
import multiprocessing
from stubs.agent_server import UDSStubServer
from iottly_sdk import iottly
from iot... | code_fim | hard | {
"lang": "python",
"repo": "tomorrowdata/iottly-sdk-python",
"path": "/tests/test_iottly_sdk.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_call_agent_with_disconnected_sdk(self):
sdk = iottly.IottlySDK('testapp', self.socket_path)
sdk.start()
sdk._agent_version = '1.8.6'
with self.assertRaises(DisconnectedSDK):
sdk.call_agent('echo')
def test_call_agent(self):
cb_called =... | code_fim | hard | {
"lang": "python",
"repo": "tomorrowdata/iottly-sdk-python",
"path": "/tests/test_iottly_sdk.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CofelyGTC/nyx_containers path: /sources/biac_mails.py
"""
BIAC_MAILS
====================================
Listens to:
-------------------------------------
Collections:
-------------------------------------
VERSION HISTORY
===============
* 25 Mar 2020 1.0.0 **AMA** Escape a double back... | code_fim | hard | {
"lang": "python",
"repo": "CofelyGTC/nyx_containers",
"path": "/sources/biac_mails.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # logger.info(msg)
send_attachment(msg)
# DELETE MAILS
M.store(num, '+FLAGS', '\\Deleted')
logger.info("Closing mail box")
M.expunge()
M.close()
M.logout()
if __name__ == '__main__':
logger.info("AMQC_URL :"+os.environ["AMQC_URL"])
nextload=datetime... | code_fim | hard | {
"lang": "python",
"repo": "CofelyGTC/nyx_containers",
"path": "/sources/biac_mails.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: awaisali88/creten path: /creten/orders/Order.py
from orders.OrderSide import OrderSide
from orders.OrderType import OrderType
from db_managers.DbCodeMapper import OrderStateMapper, OrderSideMapper, OrderTypeMapper
class Order(object):
def __init__(self, orderSide = None, orderType = None, qty =... | code_fim | hard | {
"lang": "python",
"repo": "awaisali88/creten",
"path": "/creten/orders/Order.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getTradeId(self):
return self.tradeId
def getIntOrderRef(self):
return self.intOrderRef
def getInitTmstmp(self):
return self.initTmstmp
def getOpenTmstmp(self):
return self.openTmstmp
def getFilledTmstmp(self):
return self.filledTmstmp
def __str__(self):
return 'orderSide ' + (O... | code_fim | hard | {
"lang": "python",
"repo": "awaisali88/creten",
"path": "/creten/orders/Order.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def showOne(one):
if 'lo' in one.x.__dict__.keys():
return [":klass",one.y.mode,
":id",one.id,
":lo",one.x.lo,
":hi",one.x.hi,
":n",one.y.n,
":errors", one.w
]
else:
return [":klass",one.y.mode,
":id",one.id,
... | code_fim | hard | {
"lang": "python",
"repo": "timm/16",
"path": "/power/divs.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not lst: return []
divs = recurse(sorted(lst,key=num),
worker, id, num, [])
wall = weighted(len(lst),divs)
return wall, sorted(divs,key=lambda z:(z.w,z.n))
def recurse(this, divisor, id, x,cuts):
cut,about = divisor(this)
if cut:
recurse(this[:cut], divisor... | code_fim | hard | {
"lang": "python",
"repo": "timm/16",
"path": "/power/divs.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timm/16 path: /power/divs.py
from __future__ import print_function, division
import sys
sys.dont_write_bytecode = True
from table import *
from counts import *
@setting
def CUT(): return o(
crowded=4,
cohen=0.1,
fayyad=False
)
def crowded(n):
return n > the.CUT.crowded
def smallEf... | code_fim | hard | {
"lang": "python",
"repo": "timm/16",
"path": "/power/divs.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class EntryWay(models.IntegerChoices):
""" 入园方式 """
BY_TICKET = 0, '短信换票入园'
BY_CODE = 1, '凭借验证码入园'<|fim_prefix|># repo: wenxuefeng3930/trip-api path: /sight/choices.py
from django.db import models
class TicketTypes(models.IntegerChoices):
""" 门票类型 """
ADULT = 11, '成人票'
... | code_fim | medium | {
"lang": "python",
"repo": "wenxuefeng3930/trip-api",
"path": "/sight/choices.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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