text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: Kyria/LazyBlacksmith path: /lazyblacksmith/views/industry/price.py
# -*- encoding: utf-8 -*-
import config
from flask import Blueprint
from flask import render_template
from lazyblacksmith.models import Region
<|fim_suffix|> regions = Region.query.filter(
Region.id.in_(config.ESI_RE... | code_fim | medium | {
"lang": "python",
"repo": "Kyria/LazyBlacksmith",
"path": "/lazyblacksmith/views/industry/price.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return render_template('price/price.html', **{
'regions': regions,
})<|fim_prefix|># repo: Kyria/LazyBlacksmith path: /lazyblacksmith/views/industry/price.py
# -*- encoding: utf-8 -*-
import config
from flask import Blueprint
from flask import render_template
from lazyblacksmith.models ... | code_fim | medium | {
"lang": "python",
"repo": "Kyria/LazyBlacksmith",
"path": "/lazyblacksmith/views/industry/price.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eltonplima/django-project-template path: /{{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/apps.py
from django.apps import AppConfig
from django.core import checks
<|fim_suffix|> # Import and register the system checks
checks.register(check_producti... | code_fim | hard | {
"lang": "python",
"repo": "eltonplima/django-project-template",
"path": "/{{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/apps.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class {{cookiecutter.repo_name|snake_to_pascal_case}}Config(AppConfig):
name = "{{cookiecutter.repo_name}}"
verbose_name = "{{cookiecutter.project_title}}"
def ready(self):
# Import and register the system checks
checks.register(check_production_settings)
checks.regis... | code_fim | medium | {
"lang": "python",
"repo": "eltonplima/django-project-template",
"path": "/{{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/{{cookiecutter.repo_name}}/apps.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>_list_unsigned_byte_length_5 import NistschemaSvIvListUnsignedByteLength5
__all__ = [
"NistschemaSvIvListUnsignedByteLength5",
]<|fim_prefix|># repo: tefra/xsdata-w3c-tests path: /output/models/nist_data/list_pkg/unsigned_byte/schema_instance/nistschema_sv_iv_list_unsigned_byte_length_5_xsd/__init__... | code_fim | medium | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/models/nist_data/list_pkg/unsigned_byte/schema_instance/nistschema_sv_iv_list_unsigned_byte_length_5_xsd/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tefra/xsdata-w3c-tests path: /output/models/nist_data/list_pkg/unsigned_byte/schema_instance/nistschema_sv_iv_list_unsigned_byte_length_5_xsd/__init__.py
from output.models.nist_data.list_pkg.unsigned_byte.schema_instance.nistschema_sv_iv_list_unsigned_byte_length_5_xsd.nistschema_sv_iv<|fim_suff... | code_fim | medium | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/models/nist_data/list_pkg/unsigned_byte/schema_instance/nistschema_sv_iv_list_unsigned_byte_length_5_xsd/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
async def send_dropdown(
channel: discord.TextChannel | discord.Thread,
content: str = "",
):
view = DropdownView()
message = await channel.send(content=content, view=view)
timed_out = await view.wait()
if message:
if timed_out and len(message.embeds) > 0:
embe... | code_fim | hard | {
"lang": "python",
"repo": "Lazyuki/DiscordStatsBotPython",
"path": "/cogs/utils/dropdown.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lazyuki/DiscordStatsBotPython path: /cogs/utils/dropdown.py
from typing import List, Optional
from discord import ui
import discord
import asyncio
from .resolver import has_any_role
NJ_ID = 196765998706196480
FJ_ID = 270391106955509770
NE_ID = 197100137665921024
FE_ID = 241997079168155649
OL_ID ... | code_fim | medium | {
"lang": "python",
"repo": "Lazyuki/DiscordStatsBotPython",
"path": "/cogs/utils/dropdown.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @ui.select(placeholder="Language Role", options=options)
async def select(self, interaction: discord.Interaction, menu: discord.ui.Select):
await interaction.response.send_message(
f"You have chosen <@&{menu.values[0]}>", ephemeral=True
)
async def interaction_chec... | code_fim | medium | {
"lang": "python",
"repo": "Lazyuki/DiscordStatsBotPython",
"path": "/cogs/utils/dropdown.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bmix/javaconfig path: /test/test_saxon9he.py
import os
import pytest
from .context import javaconfig
@pytest.fixture()
def s9he_config(request):
xmlc = os.path.join(os.path.dirname(__file__), 'xmlconfig.xml')
jc = javaconfig.JavaConfigurations(config=xmlc).config("saxon-9he")
return ... | code_fim | hard | {
"lang": "python",
"repo": "bmix/javaconfig",
"path": "/test/test_saxon9he.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert s9he_config.get_property("class") == "net.sf.saxon.Transform"
def test_arg(self, s9he_config):
assert type(s9he_config.get_property("arg")) is list
arg = s9he_config.get_property("arg")
assert len(arg) == 4
assert arg[0]["name"] == "x"
assert arg... | code_fim | medium | {
"lang": "python",
"repo": "bmix/javaconfig",
"path": "/test/test_saxon9he.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: draplater/hrg-parser path: /conll_reader.py
from __future__ import unicode_literals
import codecs
from collections import namedtuple
import sys
import six
from typing import Union, Optional, List
from namedlist import namedlist
class CoNLLNode(object):
@classmethod
def from_line(cl... | code_fim | hard | {
"lang": "python",
"repo": "draplater/hrg-parser",
"path": "/conll_reader.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class SimpleSentence(BaseConLLSentence):
NodeType = SimpleNode
class CoNLL06Sentence(BaseConLLSentence):
NodeType = CoNLL06Node
class SDPSentence(BaseConLLSentence):
NodeType = SDPNode
@classmethod
def get_sentence(cls, file_object):
sentence = cls()
for i in file... | code_fim | hard | {
"lang": "python",
"repo": "draplater/hrg-parser",
"path": "/conll_reader.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: influxdata/influxdb-client-python path: /influxdb_client/service/restore_service.py
""" # noqa: E501
local_var_params, path_params, query_params, header_params, body_params = \
self._post_restore_bucket_id_prepare(bucket_id, body, **kwargs) # noqa: E501
return self... | code_fim | hard | {
"lang": "python",
"repo": "influxdata/influxdb-client-python",
"path": "/influxdb_client/service/restore_service.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> body_params = None
if 'body' in local_var_params:
body_params = local_var_params['body']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
... | code_fim | hard | {
"lang": "python",
"repo": "influxdata/influxdb-client-python",
"path": "/influxdb_client/service/restore_service.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: influxdata/influxdb-client-python path: /influxdb_client/service/restore_service.py
rom a backup..
This method makes an asynchronous HTTP request.
:param async_req bool
:param BucketMetadataManifest bucket_metadata_manifest: Metadata manifest for a bucket. (required)
... | code_fim | hard | {
"lang": "python",
"repo": "influxdata/influxdb-client-python",
"path": "/influxdb_client/service/restore_service.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> hbox = QHBoxLayout(self)
hbox.addWidget(self.lbl)
self.setLayout(hbox)
self.move(100, 100)
self.setWindowTitle('Pict-Qt')
self.show()
def getfilename(self):
filename, _filter = QFileDialog.getOpenFileName \
(parent=self,
... | code_fim | hard | {
"lang": "python",
"repo": "ndmoroz/pict-qt",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def clicked(self, x, y):
click_x = x
click_y = y
max_x = self.image.width
max_y = self.image.height
side = 10
averaging_side = 10
for bi in range(-side, side + 1):
for bj in range(-side, side + 1):
mixel_center_x = ... | code_fim | hard | {
"lang": "python",
"repo": "ndmoroz/pict-qt",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ndmoroz/pict-qt path: /main.py
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import \
QHBoxLayout, \
QLabel, \
QWidget, \
QApplication, \
QFileDialog
from PyQt5.QtGui import QPixmap
from PIL import Image, ImageDraw
from PIL.ImageQt import ImageQt
import sys
... | code_fim | hard | {
"lang": "python",
"repo": "ndmoroz/pict-qt",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def change_volume(change):
current_vol = get_volume()
if current_vol is None:
print("Failed to get volume...")
return
if is_muted():
set_muted(False)
current_vol += change
if current_vol < 0:
current_vol = 0
elif current_vol > 100:
current_vo... | code_fim | hard | {
"lang": "python",
"repo": "GuillaumeGomez/mac-commands",
"path": "/volume.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GuillaumeGomez/mac-commands path: /volume.py
#!/usr/bin/env python3
import subprocess
import sys
def get_volume():
r = subprocess.run(["osascript", "-e", "get volume settings"], capture_output=True)
for part in [t.strip() for t in r.stdout.decode('utf-8').split(',')]:
if not par... | code_fim | hard | {
"lang": "python",
"repo": "GuillaumeGomez/mac-commands",
"path": "/volume.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> _MASSAGE.__init__(self)
self.name = "MASSAGED"
self.specie = 'verbs'
self.basic = "massage"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_massaged.py
from xai.brain.wordbase.verbs._massage import _MASSAGE
<|fim_middle|>#calss header
class _MASSAGED(_MA... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_massaged.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/verbs/_massaged.py
from xai.brain.wordbase.verbs._massage import _MASSAGE
<|fim_suffix|> _MASSAGE.__init__(self)
self.name = "MASSAGED"
self.specie = 'verbs'
self.basic = "massage"
self.jsondata = {}<|fim_middle|>#calss header
class _MASSAGED(_MA... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/verbs/_massaged.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>player = Player(os.path.join(getImagePath(), "stay.png"),os.path.join(getImagePath(), "right.png"), os.path.join(getImagePath(), "left.png"))
player.set_x(510)
player.set_y(280)
allBaddies = BaddieRepository(ImagesRepository())
view = GraphicalView()
topScoreFile = TopScore("Resources/topScore.txt")
menuV... | code_fim | hard | {
"lang": "python",
"repo": "ancutahij/FoodCapture",
"path": "/run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ancutahij/FoodCapture path: /run.py
import os
from Controller.Logic import KeyBoard
from Controller.readWriteFile import TopScore
from Model.BaddieRepository import BaddieRepository
from Model.Images import ImagesRepository
from Model.PlayerEntity import Player
from View.Graphic import Graphical... | code_fim | hard | {
"lang": "python",
"repo": "ancutahij/FoodCapture",
"path": "/run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: strigazi/athena path: /PhysicsAnalysis/ElectronPhotonID/ElectronPhotonSelectorTools/python/ForwardElectronIsEMMediumSelectorCutDefs.py
# Copyright (C) 2002-2017 CERN for the benefit of the ATLAS collaboration
# default configuration of the ForwardElectronIsEMSelectorCutDefs
# This one is used fo... | code_fim | medium | {
"lang": "python",
"repo": "strigazi/athena",
"path": "/PhysicsAnalysis/ElectronPhotonID/ElectronPhotonSelectorTools/python/ForwardElectronIsEMMediumSelectorCutDefs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Define GeV
GeV = 1000.0
def ForwardElectronIsEMMediumSelectorConfigMC15(theTool) :
'''
These are the photon isEM definitions from *MC15*
'''
theTool = GetTool(theTool)
theTool.ConfigFile = "ElectronPhotonSelectorTools/offline/mc15_20170711/ForwardElectronIsEMMediumSelectorCutD... | code_fim | medium | {
"lang": "python",
"repo": "strigazi/athena",
"path": "/PhysicsAnalysis/ElectronPhotonID/ElectronPhotonSelectorTools/python/ForwardElectronIsEMMediumSelectorCutDefs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def sentiment_analysis(keyword):
path ="xpression_project\\models\\twitter-roberta-base-sentiment"
labels=['negative', 'neutral', 'positive']
count = 0
tokenizer = AutoTokenizer.from_pretrained(path)
model = AutoModelForSequenceClassification.from_pretrained(path)
start_date = ""
end_date = ""
... | code_fim | hard | {
"lang": "python",
"repo": "flame-in/xpression",
"path": "/analysis/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_text = []
for t in text.split(" "):
t = '@user' if t.startswith('@') and len(t) > 1 else t
t = 'http' if t.startswith('http') else t
new_text.append(t)
return " ".join(new_text)
def sentiment_analysis(keyword):
path ="xpression_project\\models\\twitter-roberta... | code_fim | hard | {
"lang": "python",
"repo": "flame-in/xpression",
"path": "/analysis/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flame-in/xpression path: /analysis/main.py
"""
directory that store the file pytorch_model.bin is important
path is that directory. Other mdels can also be used almost in the same way.
labels are downloaded in originals script. But i just made it into a list of three elements.
"""
from analysis... | code_fim | medium | {
"lang": "python",
"repo": "flame-in/xpression",
"path": "/analysis/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ichbinhippo/Adversarial-Attacks-on-CapsNets path: /code/util/util.py
"""
This module contains various methods, that are used
in different places in this project
"""
import os
import importlib
import inspect
import sys
import json
import tensorflow as tf
import numpy as np
from util.config import... | code_fim | hard | {
"lang": "python",
"repo": "Ichbinhippo/Adversarial-Attacks-on-CapsNets",
"path": "/code/util/util.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> epoch_tensors = graph.get_collection('epoch_key')
if len(epoch_tensors) == 2:
epoch_op = epoch_tensors[1]
else:
epoch_op = None
return epoch_op
def create_epoch(graph=None):
"""Creates the global epoch counter"""
if get_epoch(graph) is not None:
raise Valu... | code_fim | hard | {
"lang": "python",
"repo": "Ichbinhippo/Adversarial-Attacks-on-CapsNets",
"path": "/code/util/util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_epoch_op(graph=None):
"""Get global epoch update op"""
graph = graph or tf.get_default_graph()
epoch_tensors = graph.get_collection('epoch_key')
if len(epoch_tensors) == 2:
epoch_op = epoch_tensors[1]
else:
epoch_op = None
return epoch_op
def create_e... | code_fim | hard | {
"lang": "python",
"repo": "Ichbinhippo/Adversarial-Attacks-on-CapsNets",
"path": "/code/util/util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
Reads mzXML file and returns a pandas.DataFrame.
'''
cols = ['retentionTime', 'm/z array', 'intensity array']
slices = []
file = mzxml.MzXML(filename)
while True:
try:
slices.append( pd.DataFrame(file.next()) )
except:
break
df =... | code_fim | medium | {
"lang": "python",
"repo": "bucknerns/ms-mint",
"path": "/ms_mint/io.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bucknerns/ms-mint path: /ms_mint/io.py
import pandas as pd
from pyteomics import mzxml, mzml
def ms_file_to_df(filename):
if filename.lower().endswith('.mzxml'):
return mzxml_to_pandas_df(filename)
elif filename.lower().endswith('.mzml'):
return mzml_to_pandas_df(filenam... | code_fim | hard | {
"lang": "python",
"repo": "bucknerns/ms-mint",
"path": "/ms_mint/io.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
Reads mzML file and returns a pandas.DataFrame.
'''
cols = ['retentionTime', 'm/z array', 'intensity array']
slices = []
file = mzml.MzML(filename)
while True:
try:
data = file.next()
data['retentionTime'] = data['scanList']['scan'][0]['scan ... | code_fim | hard | {
"lang": "python",
"repo": "bucknerns/ms-mint",
"path": "/ms_mint/io.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: graphcore/examples path: /tutorials/simple_applications/tensorflow2/mnist/mnist_code_only.py
# Copyright (c) 2020 Graphcore Ltd. All rights reserved.
# THIS FILE IS AUTOGENERATED. Rerun SST after editing source file: mnist.py
import tensorflow as tf
from tensorflow import keras
from tensorflow... | code_fim | hard | {
"lang": "python",
"repo": "graphcore/examples",
"path": "/tutorials/simple_applications/tensorflow2/mnist/mnist_code_only.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Create an IPU distribution strategy.
strategy = ipu.ipu_strategy.IPUStrategy()
with strategy.scope():
# Create an instance of the model.
model = create_model()
# Get the training dataset.
ds = create_dataset()
# Train the model.
model.compile(
loss=keras.losses.SparseC... | code_fim | hard | {
"lang": "python",
"repo": "graphcore/examples",
"path": "/tutorials/simple_applications/tensorflow2/mnist/mnist_code_only.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: billgreenwald/pgltools path: /Module/PyGLtools/column_flip.py
# coding: utf-8
# In[ ]:
import argparse
import sys
# In[ ]:
def _processFile(FILENAME, useStdIn):
if not useStdIn:
header = ""
lines = []
for line in open(FILENAME, "r"):
if line[0] == "#... | code_fim | hard | {
"lang": "python",
"repo": "billgreenwald/pgltools",
"path": "/Module/PyGLtools/column_flip.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
# parse arguments
parser = argparse.ArgumentParser()
parser._optionals.title = "Arguments"
parser.add_argument(
"-a",
help="File Path for file a. Required unless -stdInA is used",
required=False,
default="%#$",
)
parser.a... | code_fim | hard | {
"lang": "python",
"repo": "billgreenwald/pgltools",
"path": "/Module/PyGLtools/column_flip.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kaelesty/pet-pygame-krege path: /algKlass.py
from data import db_session
from data.words import Word
import datetime as dt
import random
class Alg:
def __init__(self, config):
self.config = config
<|fim_suffix|> db_sess = db_session.create_session()
"""
0 - ... | code_fim | hard | {
"lang": "python",
"repo": "Kaelesty/pet-pygame-krege",
"path": "/algKlass.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.last_sended = random.choice(self.map)
return self.last_sended
def check_word(self, article):
db_sess = db_session.create_session()
word = db_sess.query(Word).filter(Word.string == self.last_sended.string).first()
if word.accent == article:
word... | code_fim | hard | {
"lang": "python",
"repo": "Kaelesty/pet-pygame-krege",
"path": "/algKlass.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> db_sess = db_session.create_session()
word = db_sess.query(Word).filter(Word.string == self.last_sended.string).first()
if word.accent == article:
word.score -= self.config["alg-ans-step"] if word.score >= 1 else 0
db_sess.commit()
return True
... | code_fim | hard | {
"lang": "python",
"repo": "Kaelesty/pet-pygame-krege",
"path": "/algKlass.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: felixtran39/computation_hist path: /djweb/dj_comp_hist/migrations/0007_auto_20190118_1943.py
# Generated by Django 2.1.5 on 2019-01-18 19:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dj_comp_hist', '0006_auto_20190117_1618')... | code_fim | hard | {
"lang": "python",
"repo": "felixtran39/computation_hist",
"path": "/djweb/dj_comp_hist/migrations/0007_auto_20190118_1943.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> model_name='document',
name='title',
field=models.CharField(blank=True, max_length=191),
),
migrations.AlterField(
model_name='document',
name='type',
field=models.CharField(blank=True, max_length=191),
),
migrat... | code_fim | hard | {
"lang": "python",
"repo": "felixtran39/computation_hist",
"path": "/djweb/dj_comp_hist/migrations/0007_auto_20190118_1943.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> flux = new_csm[0].components[0].flux[0, 0]
qa = qa_gaintable(new_csm[1])
residual = qa.data['residual']
rms_phase = qa.data['rms-phase']
log.debug("solve_modelpartition:\t Window %d, flux %s, residual %.3f, rms phase %.3f" % (window_index,
... | code_fim | hard | {
"lang": "python",
"repo": "jamiefarnes/algorithm-reference-library",
"path": "/processing_components/calibration/modelpartition.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jamiefarnes/algorithm-reference-library path: /processing_components/calibration/modelpartition.py
""" Radio interferometric calibration using an expectation maximisation algorithm
See the SDP document "Model Partition Calibration View Packet"
In this code:
- A single model parition is taken t... | code_fim | hard | {
"lang": "python",
"repo": "jamiefarnes/algorithm-reference-library",
"path": "/processing_components/calibration/modelpartition.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GalSim-developers/GalSim path: /devel/make_sensor_data_symmetrical.py
# Copyright (c) 2012-2022 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSi... | code_fim | hard | {
"lang": "python",
"repo": "GalSim-developers/GalSim",
"path": "/devel/make_sensor_data_symmetrical.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># skip header
for line in lines[1:]:
bits = line.split()
if len(bits) != 5:
print("Unexpected line in sensor file:", line)
sys.exit(1)
# X0 and Y0 (the first two items) are the pixel center co-ordinates
# they run from (15,15) to (95,95) and are spaced 10 units apart
po... | code_fim | hard | {
"lang": "python",
"repo": "GalSim-developers/GalSim",
"path": "/devel/make_sensor_data_symmetrical.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if n <= nv2:
# lower left
return (3*nv2 + 1) + (nv2 - n)
elif n < (3*nv2 + 1):
# bottom
return (3*nv2) - (n-(nv2+1))
elif n <= (4*nv2 + 1):
# lower right
return nv2 - (n-(3*nv2+1))
elif n <= (5*nv2 + 2):
# upper right
return (... | code_fim | hard | {
"lang": "python",
"repo": "GalSim-developers/GalSim",
"path": "/devel/make_sensor_data_symmetrical.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UFAL-DSG/django-crowdflower-annotations path: /transcription/alex_da-default/ml/features.py
self.features = defaultdict(float)
def __str__(self):
return str(self.features)
def __getitem__(self, feat):
"""Returns the value of `feature' (0.0 if not present)."""
... | code_fim | hard | {
"lang": "python",
"repo": "UFAL-DSG/django-crowdflower-annotations",
"path": "/transcription/alex_da-default/ml/features.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UFAL-DSG/django-crowdflower-annotations path: /transcription/alex_da-default/ml/features.py
def __str__(self):
return str(self.features)
def __getitem__(self, feat):
"""Returns the value of `feature' (0.0 if not present)."""
# We perform the test for presence explici... | code_fim | hard | {
"lang": "python",
"repo": "UFAL-DSG/django-crowdflower-annotations",
"path": "/transcription/alex_da-default/ml/features.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(AbstractedFeature, self).__init__(
iter_meth=iter_meth, replace_meth=replace_meth,
splitter=splitter, make_other=make_other)
return AbstractedFeature
# DEPRECATED
def make_abstracted_tuple(abstr_idxs):
"""Example usage:
AbTuple2 = make_... | code_fim | hard | {
"lang": "python",
"repo": "UFAL-DSG/django-crowdflower-annotations",
"path": "/transcription/alex_da-default/ml/features.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bijitchakraborty12/MyProjects01 path: /20180729/Excel_02.py
# In your python terminal cd into the directory having the excel file.
import xlrd
book = xlrd.open_workbook("myBook_01.xlsx") # in my case the directory contains the excel file named excel.xls
# Now to print the number of worksheets i... | code_fim | medium | {
"lang": "python",
"repo": "bijitchakraborty12/MyProjects01",
"path": "/20180729/Excel_02.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># viola you have it
# Now lets say in my excel sheet data starts with rows = 1 to 3 , and columns =0 to 2
# PS the first row are the titles
for j in range(0,4):
for i in range(1,4):
print("%r" %sheet.cell_value(i,j))<|fim_prefix|># repo: bijitchakraborty12/MyProjects01 path: /20180729/Excel_... | code_fim | medium | {
"lang": "python",
"repo": "bijitchakraborty12/MyProjects01",
"path": "/20180729/Excel_02.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for j in range(0,4):
for i in range(1,4):
print("%r" %sheet.cell_value(i,j))<|fim_prefix|># repo: bijitchakraborty12/MyProjects01 path: /20180729/Excel_02.py
# In your python terminal cd into the directory having the excel file.
import xlrd
book = xlrd.open_workbook("myBook_01.xlsx") # in my ... | code_fim | hard | {
"lang": "python",
"repo": "bijitchakraborty12/MyProjects01",
"path": "/20180729/Excel_02.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>] = 'Recuperação'
else:
aluno['Situação'] = 'Reprovado'
print(40*'=')
for k, v in aluno.items():
print(f'- {k}: {v}')<|fim_prefix|># repo: ohentony/Aprendendo-python path: /Coleções em python/Dicionários em python/ex001.py
# Faça um programa que leia nome e média de um aluno, guardando também a s... | code_fim | hard | {
"lang": "python",
"repo": "ohentony/Aprendendo-python",
"path": "/Coleções em python/Dicionários em python/ex001.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ohentony/Aprendendo-python path: /Coleções em python/Dicionários em python/ex001.py
# Faça um programa que leia nome e média de um aluno, guardando também a situação em um dicionário.
# No final, mostre o co<|fim_suffix|>(input('Média: '))
if aluno['Média'] >= 7:
aluno['Situação'] = 'Aprovad... | code_fim | medium | {
"lang": "python",
"repo": "ohentony/Aprendendo-python",
"path": "/Coleções em python/Dicionários em python/ex001.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: microprediction/ratings path: /tests/test_lattice_bayes.py
from ratings.lattice.lattice_bayes import std_posterior_dividend
import math
<|fim_suffix|> dividends = [2, 3, 6]
observations = [0, -1, -0.5]
pseudo = std_posterior_dividend(dividends=dividends, ability_std=10, idio_std=2 * ... | code_fim | easy | {
"lang": "python",
"repo": "microprediction/ratings",
"path": "/tests/test_lattice_bayes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dividends = [2, 3, 6]
observations = [0, -1, -0.5]
pseudo = std_posterior_dividend(dividends=dividends, ability_std=10, idio_std=2 * math.sqrt(2),
observations=observations)
print(pseudo)<|fim_prefix|># repo: microprediction/ratings path: /tests/test_la... | code_fim | easy | {
"lang": "python",
"repo": "microprediction/ratings",
"path": "/tests/test_lattice_bayes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> path = os.path.abspath(value)
if not os.path.exists(path):
text = "Path '{}' does not exist ({})."
raise argparse.ArgumentTypeError(text.format(value, path))
return path
class Command(BaseCommand):
"Django Command; `store`."
help = """
Store the specified file in... | code_fim | medium | {
"lang": "python",
"repo": "martinphellwig/bink",
"path": "/apps/bink/management/commands/store.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> "Django Command; `store`."
help = """
Store the specified file in the database.
"""
def add_arguments(self, parser):
help_text = """
Specify the location of the CSV file and add its contents to the DB.
"""
parser.add_argument("csv_file", type=_check_pa... | code_fim | hard | {
"lang": "python",
"repo": "martinphellwig/bink",
"path": "/apps/bink/management/commands/store.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: martinphellwig/bink path: /apps/bink/management/commands/store.py
"""
This command stores the specified filename in the database.
"""
import argparse
import os
from django.core.management.base import BaseCommand
from ...functions import store
def _check_path(value):
path = os.path.abspat... | code_fim | medium | {
"lang": "python",
"repo": "martinphellwig/bink",
"path": "/apps/bink/management/commands/store.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tu500/voctomix path: /voctocore/lib/sources/decklinkavsource.py
import logging
from gi.repository import Gst
from lib.config import Config
from lib.sources.avsource import AVSource
class DeckLinkAVSource(AVSource):
def __init__(self, name, outputs=None, has_audio=True, has_video=True):
... | code_fim | hard | {
"lang": "python",
"repo": "tu500/voctomix",
"path": "/voctocore/lib/sources/decklinkavsource.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.has_video:
pipeline += """
videoconvert !
{deinterlacer}
videoscale !
videorate name=deckvideo
""".format(
deinterlacer=self.build_deinterlacer()
)
else:
... | code_fim | hard | {
"lang": "python",
"repo": "tu500/voctomix",
"path": "/voctocore/lib/sources/decklinkavsource.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wufengwhu/my_blog path: /exercise/parameters.py
def story(**kwds):
return 'Once upon a time, there was a ' \
'%(job)s called %(name)s. ' %kwds
def power(x, y, *others):
<|fim_suffix|> ''
if stop is None:
start, stop = 0, start
result = []
i = start
print stop
while i < stop:
result.ap... | code_fim | medium | {
"lang": "python",
"repo": "wufengwhu/my_blog",
"path": "/exercise/parameters.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ''
if stop is None:
start, stop = 0, start
result = []
i = start
print stop
while i < stop:
result.append(i)
i += step
return result<|fim_prefix|># repo: wufengwhu/my_blog path: /exercise/parameters.py
def story(**kwds):
return 'Once upon a time, there was a ' \
'%(job)s called %(name)s. '... | code_fim | medium | {
"lang": "python",
"repo": "wufengwhu/my_blog",
"path": "/exercise/parameters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fgrunewald/titratable_martini_tools path: /fit_curve.py
import numpy as np
import symfit as sf
from symfit.core.minimizers import BFGS, NelderMead, SLSQP, Powell
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
import argparse
def fit_data(data,guess=10.0,use_err=False):
... | code_fim | medium | {
"lang": "python",
"repo": "fgrunewald/titratable_martini_tools",
"path": "/fit_curve.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>plt.errorbar(data[:,0],1-data[:,1],yerr=data[:,2],ls=' ',
lw=2,marker='>',c="#0039A6",markersize='7')
plt.legend()
plt.xlabel('pH',fontsize='12')
plt.ylabel('degree of deprotonation',fontsize='12')
plt.tight_layout()
plt.show()<|fim_prefix|># repo: fgrunewald/titratable_martini_tools pa... | code_fim | hard | {
"lang": "python",
"repo": "fgrunewald/titratable_martini_tools",
"path": "/fit_curve.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ComNets-Bremen/ComNets-contiki path: /examples/iotlab/loging.py
#!/usr/bin/env python
import serial
import csv
import time
import logging
logging.basicConfig(filename = 'lifetime.log', level=logging.ERROR)
<|fim_suffix|># open file
with open("rcvddata.csv", "a") as csvFile:
csvwri... | code_fim | hard | {
"lang": "python",
"repo": "ComNets-Bremen/ComNets-contiki",
"path": "/examples/iotlab/loging.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> except KeyboardInterrupt as e:
# Break out of loop only when user presses CTRL+C
logging.error("Keyboard interrupt triggered")
break
except:
logging.error("All other errors bypassing!")
pass
se... | code_fim | hard | {
"lang": "python",
"repo": "ComNets-Bremen/ComNets-contiki",
"path": "/examples/iotlab/loging.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bndl/cassandra path: /bndl_cassandra/session.py
# 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/licenses/LICENSE-2.0
#
# Unless required by ... | code_fim | hard | {
"lang": "python",
"repo": "bndl/cassandra",
"path": "/bndl_cassandra/session.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def prepare(self, query, custom_payload=None):
with _PREPARE_LOCK:
return _prepare(self, query, custom_payload)
def get_contact_points(ctx, contact_points):
if not contact_points:
contact_points = ctx.conf.get('bndl_cassandra.contact_points')
if isinstance(contact_points, str... | code_fim | hard | {
"lang": "python",
"repo": "bndl/cassandra",
"path": "/bndl_cassandra/session.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # prefer a replica which is local (share IP address)
for replica in replicas:
if self.is_node_local(replica):
yield replica
# dc-local replica's on other machines
for replica in replicas:
... | code_fim | hard | {
"lang": "python",
"repo": "bndl/cassandra",
"path": "/bndl_cassandra/session.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('core', '0016_auto_20200904_1026'),
]
operations = [
migrations.AlterField(
model_name='mealstoorder',
name='ordid',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='... | code_fim | medium | {
"lang": "python",
"repo": "Umutbek/crm-food",
"path": "/app/core/migrations/0017_auto_20200904_1329.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='mealstoorder',
name='ordid',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='meals1', to='core.order'),
),
]<|fim_prefix|># repo: Umutbek/... | code_fim | medium | {
"lang": "python",
"repo": "Umutbek/crm-food",
"path": "/app/core/migrations/0017_auto_20200904_1329.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Umutbek/crm-food path: /app/core/migrations/0017_auto_20200904_1329.py
# Generated by Django 3.1 on 2020-09-04 13:29
from django.db import migrations, models
import django.db.models.deletion
<|fim_suffix|>
dependencies = [
('core', '0016_auto_20200904_1026'),
]
operations =... | code_fim | medium | {
"lang": "python",
"repo": "Umutbek/crm-food",
"path": "/app/core/migrations/0017_auto_20200904_1329.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class SnippetCategoryViewSet(viewsets.ModelViewSet):
serializer_class = SnippetCategorySerializer
queryset = SnippetCategory.objects.all()
lookup_field = 'id'<|fim_prefix|># repo: pavelsimo/Grifo path: /grifo/snippets/api.py
from grifo.snippets.models import Snippet, SnippetCategory
from res... | code_fim | medium | {
"lang": "python",
"repo": "pavelsimo/Grifo",
"path": "/grifo/snippets/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pavelsimo/Grifo path: /grifo/snippets/api.py
from grifo.snippets.models import Snippet, SnippetCategory
from rest_framework import viewsets
<|fim_suffix|>class SnippetViewSet(viewsets.ModelViewSet):
serializer_class = SnippetSerializer
queryset = Snippet.objects.all()
lookup_field = ... | code_fim | medium | {
"lang": "python",
"repo": "pavelsimo/Grifo",
"path": "/grifo/snippets/api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> serializer_class = SnippetSerializer
queryset = Snippet.objects.all()
lookup_field = 'id'
class SnippetCategoryViewSet(viewsets.ModelViewSet):
serializer_class = SnippetCategorySerializer
queryset = SnippetCategory.objects.all()
lookup_field = 'id'<|fim_prefix|># repo: pavelsimo/... | code_fim | medium | {
"lang": "python",
"repo": "pavelsimo/Grifo",
"path": "/grifo/snippets/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>x.strftime("%p"))
print("%M : ",x.strftime("%M"))
print("%S : ",x.strftime("%S"))
print("%f : ",x.strftime("%f"))
print("%z : ",x.strftime("%z"))
print("%Z : ",x.strftime("%Z"))
print("%j : ",x.strftime("%j"))
print("%U : ",x.strftime("%U"))
print("%W : ",x.strftime("%W"))
print("... | code_fim | hard | {
"lang": "python",
"repo": "NaychukAnastasiya/goiteens-python3-naychuk",
"path": "/lesson_7_work/Ex8.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NaychukAnastasiya/goiteens-python3-naychuk path: /lesson_7_work/Ex8.py
# Вивести час у різних форматах
# mm/dd/yy
# NameOfDay Month DateOfDay hh:mm:ss year ####
import datetime
x = datetime.datetime.now()
print("%a : ",x.strftime("%a"))
print("%A : ",x.strftime("%A"))
print("%w : "... | code_fim | hard | {
"lang": "python",
"repo": "NaychukAnastasiya/goiteens-python3-naychuk",
"path": "/lesson_7_work/Ex8.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JetBrains/intellij-community path: /python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_0/_pkg1_0_0_0/_pkg1_0_0_0_0/__init__.py
from ._mod1_0_0_0_0_0 import *
from ._<|fim_suffix|>_0_0_2 import *
from ._mod1_0_0_0_0_3 import *
from ._mod1_0_0_0_0_4 import *<|fim_middle|>mod1... | code_fim | easy | {
"lang": "python",
"repo": "JetBrains/intellij-community",
"path": "/python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_0/_pkg1_0_0_0/_pkg1_0_0_0_0/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>import *
from ._mod1_0_0_0_0_4 import *<|fim_prefix|># repo: JetBrains/intellij-community path: /python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_0/_pkg1_0_0_0/_pkg1_0_0_0_0/__init__.py
from ._mod1_0_0_0_0_0 import *
from ._<|fim_middle|>mod1_0_0_0_0_1 import *
from ._mod1_0_0_0_... | code_fim | medium | {
"lang": "python",
"repo": "JetBrains/intellij-community",
"path": "/python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_0/_pkg1_0_0_0/_pkg1_0_0_0_0/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: clld/amsd path: /amsd/util.py
from math import floor
from clld.db.meta import DBSession
from clld.db.models.common import (
Contributor,
Contribution,
Contribution_files,
)
from clld.web.util.component import Component
from clld.web.util.htmllib import HTML
from clld.web.util.helpers... | code_fim | hard | {
"lang": "python",
"repo": "clld/amsd",
"path": "/amsd/util.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_popup_images(req, obj):
imgs = obj.get_images(req=req, image_type='web')
if imgs:
return "%s<br /><br />" % (imgs)
return '' # pragma: no cover
def get_x_data(model_name=None, context=None, request=None, **kw):
m = getattr(amsd.models, model_name)
x_m = getattr(amsd... | code_fim | hard | {
"lang": "python",
"repo": "clld/amsd",
"path": "/amsd/util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_data_entry(context=None, request=None, **kw):
res = []
if not context.data_entry: # pragma: no cover
return None
for r in context.data_entry.split(';'):
for f in DBSession.query(Contributor).filter(Contributor.id == r):
res.append(HTML.a(f.name, href='%s/%s... | code_fim | hard | {
"lang": "python",
"repo": "clld/amsd",
"path": "/amsd/util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: volnt/tweety path: /main.py
import sys
try:
import keys
except ImportError:
print >> sys.stderr, "Error : could not import key module (read the README)."
exit(1)
from time import time
import tweepy
import sqlitedict
from timeit import TimeIt
GREEN = "\033[032m"
RESET = "\033[0m"
... | code_fim | hard | {
"lang": "python",
"repo": "volnt/tweety",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def archive_mentions(self):
for tweet in self.tweets:
tweet.archive()
print "[%s+%s] %s" % (GREEN, RESET, tweet)
if not self.tweets:
print "No tweet to archive."
@TimeIt
def main():
auth = AuthHandler(keys.consumer_key, keys.consumer_secret,
... | code_fim | hard | {
"lang": "python",
"repo": "volnt/tweety",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>cube = []
for value in range(1,10):
cube3 = value**3
cube.append(cube3)
print(cube)
cube = [value**3 for value in range(1,10)]
print(cube)<|fim_prefix|># repo: liqiwa/python_work path: /4/4.3/exercise.py
#for value in range(1,21):
#print(value)
numbers = [value for value in range(1,1000001)]
#print(... | code_fim | easy | {
"lang": "python",
"repo": "liqiwa/python_work",
"path": "/4/4.3/exercise.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liqiwa/python_work path: /4/4.3/exercise.py
#for value in range(1,21):
#print(value)
numbers = [value for value in range(1,1000001)]
#print(numbers)
#print("min is "+ str(min(numbers)))
##print("max is " + str(max(numbers)))
unevennumber = [value for value in range(1,20,2)]
print(unevennumber... | code_fim | easy | {
"lang": "python",
"repo": "liqiwa/python_work",
"path": "/4/4.3/exercise.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [{'metric': '.'.join(path), 'is_leaf': node.is_leaf()} for path, node in result]
def search(self, node, query_path, path):
instruction, arg = query_path[0]
if instruction == 'EXACT':
matched_children = [(arg, node.children[arg])] if arg in node.children els... | code_fim | hard | {
"lang": "python",
"repo": "swoop-inc/graflux",
"path": "/graflux/metric_index.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: swoop-inc/graflux path: /graflux/metric_index.py
import json
import weakref
import re
GRAPHITE_GLOB_REGEX = re.compile('\*|{')
# TODO there are some dumb things done in here, could be faster
class MetricNode(object):
__slots__ = ['parent', 'children', '__weakref__']
def __init__(self... | code_fim | hard | {
"lang": "python",
"repo": "swoop-inc/graflux",
"path": "/graflux/metric_index.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
admin.site.register(ParliamentaryGroup)
admin.site.register(ParliamentarySession)
admin.site.register(CouncilPerson)
admin.site.register(File)
admin.site.register(Answer)
admin.site.register(Motion)<|fim_prefix|># repo: lutoma/open-grgraz path: /api/admin.py
from django.contrib import admin
from api.mod... | code_fim | easy | {
"lang": "python",
"repo": "lutoma/open-grgraz",
"path": "/api/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lutoma/open-grgraz path: /api/admin.py
from django.contrib import admin
from api.models import *
<|fim_suffix|>admin.site.register(ParliamentaryGroup)
admin.site.register(ParliamentarySession)
admin.site.register(CouncilPerson)
admin.site.register(File)
admin.site.register(Answer)
admin.site.reg... | code_fim | easy | {
"lang": "python",
"repo": "lutoma/open-grgraz",
"path": "/api/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> apmpt.replace_pert_type_for_poscons({"fake filename":df}, {"my pos 1", "my pos 2"})
logger.debug("after replacement df: {}".format(df))
new_pert_type = df.loc[df.pert_iname == "my pos 1", apmpt.pert_type].values[0]
self.assertEqual(apmpt.pert_type_poscon, new_pert_type)
... | code_fim | hard | {
"lang": "python",
"repo": "dedavison/merino",
"path": "/test_adjust_plate_map_pert_type.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dedavison/merino path: /test_adjust_plate_map_pert_type.py
import unittest
import logging
import setup_logger as setup_logger
import adjust_plate_map_pert_type as apmpt
import os
import pandas
logger = logging.getLogger(setup_logger.LOGGER_NAME)
# Some notes on testing conventions (more in cu... | code_fim | hard | {
"lang": "python",
"repo": "dedavison/merino",
"path": "/test_adjust_plate_map_pert_type.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_replace_pert_type_for_poscons(self):
df = pandas.DataFrame({apmpt.pert_type:range(3), "pert_iname":["my pos 1", "my pos 2", "not a pos"]})
logger.debug("before replacement df: {}".format(df))
apmpt.replace_pert_type_for_poscons({"fake filename":df}, {"my pos 1", "my ... | code_fim | hard | {
"lang": "python",
"repo": "dedavison/merino",
"path": "/test_adjust_plate_map_pert_type.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if job.metadata["retries"] > 0:
delta = timedelta(
seconds=math.pow(factor, job.metadata["retry_count"]) * min_backoff
)
dt = datetime.utcnow() + delta
enqueued = scheduler.enqueue_at(dt, run_job, *args)
j... | code_fim | hard | {
"lang": "python",
"repo": "patrickporto/fastlane",
"path": "/fastlane/worker/job.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return True
if (
result.exit_code != 0
and "retry_count" in job.metadata
and job.metadata["retry_count"] < job.metadata["retries"]
):
retry_logger = logger.bind(
exit_code=result.exit_code,
retry_c... | code_fim | hard | {
"lang": "python",
"repo": "patrickporto/fastlane",
"path": "/fastlane/worker/job.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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