text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: SherbyRobotics/pyro path: /examples/demos_by_system/mass_spring_damper/three_mass_dynamic.py
# -*- coding: utf-8 -*-
"""
Created on Jun 2 2021
@author: Alex
"""
from pyro.dynamic import massspringdamper
sys = massspringdamper.ThreeMass()
<|fim_suffix|>sys.x0[2] = 1
sys.plot_trajectory()
sys... | code_fim | easy | {
"lang": "python",
"repo": "SherbyRobotics/pyro",
"path": "/examples/demos_by_system/mass_spring_damper/three_mass_dynamic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Arguments
inputs (tensor): input tensor from input image or previous layer
num_filters (int): Conv2D number of filters
kernel_size (int): Conv2D square kernel dimensions
strides (int): Conv2D square stride dimensions
activation (string): activation name
... | code_fim | hard | {
"lang": "python",
"repo": "naykun/MusicResearch",
"path": "/Music_Text_Generation/convupsample.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: naykun/MusicResearch path: /Music_Text_Generation/convupsample.py
from __future__ import print_function
from keras.callbacks import LambdaCallback
from keras.models import Sequential,Model
from keras.layers import Dense, Activation, LSTM, Input, \
Reshape, MaxPooling1D, Conv1D, Dropout,Global... | code_fim | hard | {
"lang": "python",
"repo": "naykun/MusicResearch",
"path": "/Music_Text_Generation/convupsample.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def resnet_v1(input_shape, depth, num_classes=10,input_tensor=None):
"""ResNet Version 1 Model builder [a]
Stacks of 2 x (3 x 3) Conv2D-BN-ReLU
Last ReLU is after the shortcut connection.
At the beginning of each stage, the feature map size is halved (downsampled)
by a convolutional l... | code_fim | hard | {
"lang": "python",
"repo": "naykun/MusicResearch",
"path": "/Music_Text_Generation/convupsample.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vsidera/V-Projects path: /projapp/forms.py
from django import forms
from .models import Post , Rating
<|fim_suffix|>class ratingForm(forms.ModelForm):
class Meta:
model = Rating
fields = ['interface', 'experience', 'content']<|fim_middle|>class uploadForm(forms.ModelForm):
... | code_fim | medium | {
"lang": "python",
"repo": "vsidera/V-Projects",
"path": "/projapp/forms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Rating
fields = ['interface', 'experience', 'content']<|fim_prefix|># repo: vsidera/V-Projects path: /projapp/forms.py
from django import forms
from .models import Post , Rating
class uploadForm(forms.ModelForm):
<|fim_middle|> class Meta:
model = Post
exclude ... | code_fim | medium | {
"lang": "python",
"repo": "vsidera/V-Projects",
"path": "/projapp/forms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cahya-wirawan/opentc path: /contrib/icap-server/icap-server-opentc.py
#!/bin/env python
# -*- coding: utf8 -*-
import argparse
import json
import logging.config
import os
import re
import socketserver
import tempfile
import traceback
import magic
import multipart
import textract
import yaml
fro... | code_fim | hard | {
"lang": "python",
"repo": "cahya-wirawan/opentc",
"path": "/contrib/icap-server/icap-server-opentc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
response = self.server.opentc["client"].command("PING\n")
response = json.loads(response.decode('utf-8'))
self.logger.debug("REQMOD Ping response: {}".format(response))
except Exception as err:
self.logger.error(traceback.format_exc())
... | code_fim | hard | {
"lang": "python",
"repo": "cahya-wirawan/opentc",
"path": "/contrib/icap-server/icap-server-opentc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Copy the request body (in case of a POST for example)
if not self.has_body:
self.set_enc_request(b' '.join(self.enc_req))
self.send_headers(False)
return
if self.preview:
prevbuf = b''
while True:
chunk =... | code_fim | hard | {
"lang": "python",
"repo": "cahya-wirawan/opentc",
"path": "/contrib/icap-server/icap-server-opentc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joelimome/Kestrel path: /kestrel/backend.py
##############
class RosterBackend(object):
def __init__(self, backend):
self.backend = backend
self.db = self.backend.db
self.query = self.backend.query
# --------------------------------------------------------------... | code_fim | hard | {
"lang": "python",
"repo": "joelimome/Kestrel",
"path": "/kestrel/backend.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.query(self._unsubscribe, (owner, jid))
def _unsubscribe(self, owner, jid):
entry = RosterItem(owner, jid)
entry.unsubscribe()
self.db.merge(entry)
self.db.commit()
# ------------------------------------------------------------------
def un... | code_fim | hard | {
"lang": "python",
"repo": "joelimome/Kestrel",
"path": "/kestrel/backend.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> worker = self.db.query(Worker).filter_by(jid=worker_jid).one()
caps = '%'+worker.capabilities.replace(' ', '%') + '%'
where = and_(or_(Job.status=='queued',
Job.status=='running'),
Worker.capabilities.like(Job.requirements),
... | code_fim | hard | {
"lang": "python",
"repo": "joelimome/Kestrel",
"path": "/kestrel/backend.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: David082/daguan_competition_2021_codes path: /src/classic_models/modules/self_attn_pool.py
# -*- coding: utf-8 -*-
import torch
# from allennlp.nn import util
from torch import nn
from src.classic_models.utils.model_utils import masked_softmax, weighted_sum
class SelfAttnAggregator(nn.Module... | code_fim | hard | {
"lang": "python",
"repo": "David082/daguan_competition_2021_codes",
"path": "/src/classic_models/modules/self_attn_pool.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, input_tensors: torch.Tensor, mask: torch.Tensor): # pylint: disable=arguments-differ
"""
Parameters
----------
input_tensors : (batch_size, num_tokens, input_dim).
mask : sentence mask, (batch_size, num_tokens).
Returns
-------... | code_fim | hard | {
"lang": "python",
"repo": "David082/daguan_competition_2021_codes",
"path": "/src/classic_models/modules/self_attn_pool.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if keypair is not None:
raise cherrypy.HTTPError(409, "A keypair with the requested name already exists.")
keypair = Keypair()
keypair.name = request.name
keypair.public_key = request.public_key
keypair.project_id = project.id
... | code_fim | hard | {
"lang": "python",
"repo": "sandwichcloud/deli-counter",
"path": "/deli_counter/http/mounts/root/routes/v1/keypairs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @Route(route='{keypair_id}', methods=[RequestMethods.DELETE])
@cherrypy.tools.project_scope()
@cherrypy.tools.model_params(cls=ParamsKeypair)
@cherrypy.tools.resource_object(id_param="keypair_id", cls=Keypair)
@cherrypy.tools.enforce_policy(policy_name="keypairs:delete")
def delete... | code_fim | hard | {
"lang": "python",
"repo": "sandwichcloud/deli-counter",
"path": "/deli_counter/http/mounts/root/routes/v1/keypairs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sandwichcloud/deli-counter path: /deli_counter/http/mounts/root/routes/v1/keypairs.py
import uuid
import cherrypy
from sqlalchemy.orm import Query
from deli_counter.http.mounts.root.routes.v1.validation_models.keypairs import RequestCreateKeypair, \
ParamsListKeypair, ParamsKeypair, Respons... | code_fim | hard | {
"lang": "python",
"repo": "sandwichcloud/deli-counter",
"path": "/deli_counter/http/mounts/root/routes/v1/keypairs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenUpSA/umibukela path: /umibukela/migrations/0029_auto_20170226_0745.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import umibukela.models
class Migration(migrations.Migration):
dependencies = [
('umibukela', '0028_cy... | code_fim | hard | {
"lang": "python",
"repo": "OpenUpSA/umibukela",
"path": "/umibukela/migrations/0029_auto_20170226_0745.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ),
migrations.AlterField(
model_name='cycleresultset',
name='cycle',
field=models.ForeignKey(related_name='cycle_result_sets', to='umibukela.Cycle'),
),
migrations.AlterField(
model_name='cycleresultset',
name='survey'... | code_fim | hard | {
"lang": "python",
"repo": "OpenUpSA/umibukela",
"path": "/umibukela/migrations/0029_auto_20170226_0745.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param output_npz: Path to output file.npz
* Items: ['ids'] int (n, )
['sents'] str (n, )
['embs'] float32 (n, 512)
:param batch_size: N sent yielded by batch_generator
:param m... | code_fim | hard | {
"lang": "python",
"repo": "Ljferrer/SimSent",
"path": "/SimSent/vectorizer/sentence_vectorizer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ljferrer/SimSent path: /SimSent/vectorizer/sentence_vectorizer.py
import gc
import os
import os.path as p
import json
import requests
from pathlib import Path
from typing import List, Tuple, Union
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from .base_vectorizer impor... | code_fim | hard | {
"lang": "python",
"repo": "Ljferrer/SimSent",
"path": "/SimSent/vectorizer/sentence_vectorizer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> minibatch_size: int = 128) -> EMB_BATCH:
""" High throughput, GPU-friendly vectorization """
embeddings = list()
batched_tensors = list()
with self.graph.as_default():
# High throughput vectorization (fast)
if len(sents) > minib... | code_fim | hard | {
"lang": "python",
"repo": "Ljferrer/SimSent",
"path": "/SimSent/vectorizer/sentence_vectorizer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openvinotoolkit/nncf path: /nncf/experimental/torch/nas/bootstrapNAS/search/supernet.py
# Copyright (c) 2023 Intel Corporation
# 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 Licens... | code_fim | hard | {
"lang": "python",
"repo": "openvinotoolkit/nncf",
"path": "/nncf/experimental/torch/nas/bootstrapNAS/search/supernet.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_search_space(self) -> Dict:
"""
:return: dictionary with possible values for elastic configurations.
"""
return self._m_handler.get_search_space()
def get_design_vars_info(self) -> Tuple[int, List[int]]:
"""
:return: number of possible value... | code_fim | hard | {
"lang": "python",
"repo": "openvinotoolkit/nncf",
"path": "/nncf/experimental/torch/nas/bootstrapNAS/search/supernet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:param config: subnetwork configuration.
:param eval_fn: user's function to evaluate the active subnetwork.
:return: value of the user's function used to evaluate the subnetwork.
"""
self.activate_config(config)
return self.eval_active_subnet(eva... | code_fim | hard | {
"lang": "python",
"repo": "openvinotoolkit/nncf",
"path": "/nncf/experimental/torch/nas/bootstrapNAS/search/supernet.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> You can specify the number of points to output.
"""
c_closeness = nx.closeness_centrality(graph)
c_closeness = heapq.nlargest(numberOfPoints, list(c_closeness.values()))
return c_closeness
def harmonicCentrality(graph, numberOfPoints):
"""Compute the largest harmonic centralities... | code_fim | hard | {
"lang": "python",
"repo": "manoskary/Topological-Descriptors-for-Symbolic-Music-Genre-Classification",
"path": "/NetworkX_GraphTranslation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: manoskary/Topological-Descriptors-for-Symbolic-Music-Genre-Classification path: /NetworkX_GraphTranslation.py
import heapq
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
from structural_functions import getKeyByValue
def CreateVertices(TrajectoryPoints, Graph):
""... | code_fim | hard | {
"lang": "python",
"repo": "manoskary/Topological-Descriptors-for-Symbolic-Music-Genre-Classification",
"path": "/NetworkX_GraphTranslation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adirdayan/GeoEmbedding path: /geo_embedding/models/baselines/tests/test_coord2Vec.py
import os
import shutil
from unittest import TestCase
from coord2vec.common import multiproc_util
from coord2vec.config import TEST_CACHE_DIR, TENSORBOARD_DIR, VAL_CACHE_DIR
from coord2vec.models.baselines impor... | code_fim | medium | {
"lang": "python",
"repo": "adirdayan/GeoEmbedding",
"path": "/geo_embedding/models/baselines/tests/test_coord2Vec.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
# cls.embedding_dim = 16
# cls.tb_dir = 'test'
# losses = [ScaledLoss() for _ in range(9)]
# cls.coord2vec = Coord2Vec(house_price_builder, n_channels=3, losses=losses, embedding_dim=cls.embedding_dim)
def test_fit_predict(self):
pass
# mul... | code_fim | medium | {
"lang": "python",
"repo": "adirdayan/GeoEmbedding",
"path": "/geo_embedding/models/baselines/tests/test_coord2Vec.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_claims_from_json_with_private_claim_names(self):
claims = Claims.from_json(
{
"iss": "coap://as.example.com",
"ext": "foo",
},
private_claim_names={"ext": -70001},
).to_dict()
assert len(claims) == 2
... | code_fim | hard | {
"lang": "python",
"repo": "alexj27/python-cwt",
"path": "/tests/test_claims.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> claims = Claims.from_json(
{
"iss": "coap://as.example.com",
"ext": "foo",
},
private_claim_names={"ext": -70001},
).to_dict()
assert len(claims) == 2
assert claims[1] == "coap://as.example.com"
ass... | code_fim | hard | {
"lang": "python",
"repo": "alexj27/python-cwt",
"path": "/tests/test_claims.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alexj27/python-cwt path: /tests/test_claims.py
# pylint: disable=R0201, R0904, W0621
# R0201: Method could be a function
# R0904: Too many public methods
# W0621: Redefined outer name
"""
Tests for Claims.
"""
import pytest
from cwt import Claims
class TestClaims:
"""
Tests for Claims... | code_fim | hard | {
"lang": "python",
"repo": "alexj27/python-cwt",
"path": "/tests/test_claims.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bsyoo77/choreograph-git path: /choreograph/servoserial/serial_dummy.py
#!/usr/bin/python
import re
# import smbus
# ===========================================================================
# from Ah_I2C Class
# 2016-08: update from Python 3
# + ...
# ======================================... | code_fim | hard | {
"lang": "python",
"repo": "bsyoo77/choreograph-git",
"path": "/choreograph/servoserial/serial_dummy.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def getPiRevision():
"Gets the version number of the Raspberry Pi board"
return 2
@staticmethod
def getPiI2CBusNumber():
# Gets the I2C bus number /dev/i2c#
return 1 if Ah_I2C.getPiRevision() > 1 else 0
def __init__(self, address, busnum=-1, debug=False):
self... | code_fim | hard | {
"lang": "python",
"repo": "bsyoo77/choreograph-git",
"path": "/choreograph/servoserial/serial_dummy.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> def reverseByteOrder(self, data):
"Reverses the byte order of an int (16-bit) or long (32-bit) value"
# Courtesy Vishal Sapre
byteCount = len(hex(data)[2:].replace('L','')[::2])
val = 0
for i in range(byteCount):
val = (val << 8) | (data & 0xff)
data >>= 8
re... | code_fim | hard | {
"lang": "python",
"repo": "bsyoo77/choreograph-git",
"path": "/choreograph/servoserial/serial_dummy.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jacob-kinzer/pacbot path: /installer/core/terraform/resources/__init__.py
from core.config import Settings
from core.terraform.utils import get_terraform_resource_path
from core.terraform.utils import get_formatted_resource_attr_value
from core.log import SysLog
from abc import ABCMeta
import jso... | code_fim | hard | {
"lang": "python",
"repo": "jacob-kinzer/pacbot",
"path": "/installer/core/terraform/resources/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> success = True
msg_list = []
for arg in self._get_required_arguments():
if getattr(self, arg, None) is None:
msg_list.append("Required argument are not provided. Argument: %s" % arg)
success = False
if self.get_resource_id() is N... | code_fim | hard | {
"lang": "python",
"repo": "jacob-kinzer/pacbot",
"path": "/installer/core/terraform/resources/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Quantipy/quantipy3 path: /savReaderWriter/__init__.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
savReaderWriter: A cross-platform Python interface to the IBM SPSS
Statistics Input Output Module. Read or Write SPSS system files (.sav, .zsav)
.. moduleauthor:: Albert-Jan Roskam <fo... | code_fim | hard | {
"lang": "python",
"repo": "Quantipy/quantipy3",
"path": "/savReaderWriter/__init__.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|>MAXLENGTHS = {
"SPSS_MAX_VARNAME": (64, "Variable name"),
"SPSS_MAX_SHORTVARNAME": (8, "Short (compatibility) variable name"),
"SPSS_MAX_SHORTSTRING": (8, "Short string variable"),
"SPSS_MAX_IDSTRING": (64, "File label string"),
"SPSS_MAX_LONGSTRING": (32767, "Long string variable... | code_fim | hard | {
"lang": "python",
"repo": "Quantipy/quantipy3",
"path": "/savReaderWriter/__init__.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> loss = self.criterion(outputs, labels)
loss.backward()
torch.nn.utils.clip_grad_norm_(self.model.parameters(), 1.0)
self.optimizer.step()
self.scheduler.step()
return loss.item(), outputs
def _validation(self, data_loader):
self.model.eval()
... | code_fim | hard | {
"lang": "python",
"repo": "theoseo/kortok",
"path": "/tasks/korsts/trainer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: theoseo/kortok path: /tasks/korsts/trainer.py
from logging import Logger
import torch
from scipy.stats import spearmanr
from torch import nn
from torch.optim.adamw import AdamW
from torch.utils.data.dataloader import DataLoader
from torch.utils.tensorboard import SummaryWriter
from tqdm import t... | code_fim | hard | {
"lang": "python",
"repo": "theoseo/kortok",
"path": "/tasks/korsts/trainer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: esi-neuroscience/syncopy path: /syncopy/tests/test_metadata.py
ength exactly 2" in str(err.value)
# Test with tuple, 2nd arg is None
_, b = parse_cF_returns((np.zeros(3)))
assert b is None
# Test with ndarray only
_, b = parse_cF_returns(np.zeros(3))
... | code_fim | hard | {
"lang": "python",
"repo": "esi-neuroscience/syncopy",
"path": "/syncopy/tests/test_metadata.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: esi-neuroscience/syncopy path: /syncopy/tests/test_metadata.py
, and values in ndarray are string (but not object). This is fine.
a, b = parse_cF_returns((np.zeros(3), {'a': np.array(['apples', 'foobar', 'cowboy'])}))
assert 'a' in b
def test_parse_backend_metadata(self):
... | code_fim | hard | {
"lang": "python",
"repo": "esi-neuroscience/syncopy",
"path": "/syncopy/tests/test_metadata.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Test exc: with duplicate key in several nested dicts.
md_nested_dupl_key = { 'ap' : { 'ap__0_0': 1, 'ap__0_1': 2}, 'pp': {'ap__0_0': 3, 'pp__0_1': 4}}
with pytest.raises(SPYValueError, match="Duplicate key"):
_ = metadata_unnest(md_nested_dupl_key)
# Test exc... | code_fim | hard | {
"lang": "python",
"repo": "esi-neuroscience/syncopy",
"path": "/syncopy/tests/test_metadata.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: murodin/MMTtools path: /mmirs_pipeline_taskfile.py
S'])
object0.append(hdr['OBJECT'])
imagetyp.append(hdr['IMAGETYP'])
aptype.append(hdr['APTYPE'])
aperture.append(hdr['APERTURE'])
filter0.append(hdr['FILTER'])
disperse.appen... | code_fim | hard | {
"lang": "python",
"repo": "murodin/MMTtools",
"path": "/mmirs_pipeline_taskfile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: murodin/MMTtools path: /mmirs_pipeline_taskfile.py
])
del c_hdr0[col1[vv]]
col2 = ['SCI', 'SCI2', 'DITHPOS', 'DITHPOS2']
# + on 24/01/2018
im_dict = get_diff_images(tab0, idx, dither=dither, mylog=mylog)
# Only write files if dithering is done | Mod on 29/04/2018
... | code_fim | hard | {
"lang": "python",
"repo": "murodin/MMTtools",
"path": "/mmirs_pipeline_taskfile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Modified by Chun Ly, 8 June 2018
- Include inter keyword option
- Add user prompts to identify telluric star
- Bug fix: indexing issue
Modified by Chun Ly, 9 June 2018
- Add mmirs_setup0 and target_setup inputs
- Require target_setup in telluric selection
Modified by... | code_fim | hard | {
"lang": "python",
"repo": "murodin/MMTtools",
"path": "/mmirs_pipeline_taskfile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>variavel_aplicacao = Flask(__name__)
# importar o pacote views do pacote app.
from aplicacao import visualizacoes<|fim_prefix|># repo: miguel7penteado/python-flask path: /2-flask-templates/aplicacao/__init__.py
# -*- coding: utf-8 -*-
#!/usr/bin/env python
<|fim_middle|>from flask import Flask
| code_fim | easy | {
"lang": "python",
"repo": "miguel7penteado/python-flask",
"path": "/2-flask-templates/aplicacao/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: miguel7penteado/python-flask path: /2-flask-templates/aplicacao/__init__.py
# -*- coding: utf-8 -*-
#!/usr/bin/env python
<|fim_suffix|>variavel_aplicacao = Flask(__name__)
# importar o pacote views do pacote app.
from aplicacao import visualizacoes<|fim_middle|>from flask import Flask
| code_fim | easy | {
"lang": "python",
"repo": "miguel7penteado/python-flask",
"path": "/2-flask-templates/aplicacao/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openvenues/lieu path: /lib/lieu/spark/utils.py
class IDPairRDD(object):
@classmethod
def join_pairs(cls, pairs, kvs):
result = pairs.join(kvs) \
.map(lambda (k1, (k2, v1)): (k2, (k1, v1)))
num_partitions = result.getNumPartitions()
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "openvenues/lieu",
"path": "/lib/lieu/spark/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> num_partitions = result.getNumPartitions()
return result.join(kvs2) \
.map(lambda (k2, ((k1, v1), v2)): ((k1, k2), (v1, v2))) \
.coalesce(num_partitions)<|fim_prefix|># repo: openvenues/lieu path: /lib/lieu/spark/utils.py
class IDPairRDD(object... | code_fim | hard | {
"lang": "python",
"repo": "openvenues/lieu",
"path": "/lib/lieu/spark/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # write the data frame to a dated snapshot and to latest
date = datetime.now().strftime('%Y-%m-%d')
snapshot = './data/us-tn/tn-edu/raw/districts-'+date+'.csv'
df.to_csv(f'{snapshot}', index=False)
df.to_csv(f'./data/us-tn/tn-edu/raw/districts-latest.csv', index=False)<|fim_prefix|># r... | code_fim | hard | {
"lang": "python",
"repo": "mtna/covid-19",
"path": "/data/us-tn/tn-edu/district-parser.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mtna/covid-19 path: /data/us-tn/tn-edu/district-parser.py
import os
import requests
import pandas as pd
from datetime import datetime
if __name__ == "__main__":
# get the district info
response = requests.get("https://districtinformation.tnedu.gov/api/districts")
if response.status_c... | code_fim | medium | {
"lang": "python",
"repo": "mtna/covid-19",
"path": "/data/us-tn/tn-edu/district-parser.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # add the results to a data frame
df = pd.DataFrame(columns = ['district_id', 'district_name', 'region_id', 'region_name', 'student_cases', 'staff_cases', 'date_stamp'])
districtArr = response.json()
for district in districtArr:
region = district['region']
covid = district... | code_fim | medium | {
"lang": "python",
"repo": "mtna/covid-19",
"path": "/data/us-tn/tn-edu/district-parser.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_kbenv_install_no_version_file(
cd_tmp_path: Path, caplog: LogCaptureFixture
) -> None:
"""Test ``runway kbenv install`` no version file."""
caplog.set_level(logging.WARNING, logger="runway")
runner = CliRunner()
result = runner.invoke(cli, ["kbenv", "install"])
assert resu... | code_fim | hard | {
"lang": "python",
"repo": "onicagroup/runway",
"path": "/tests/integration/cli/commands/kbenv/test_install.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onicagroup/runway path: /tests/integration/cli/commands/kbenv/test_install.py
"""Test ``runway kbenv install`` command."""
# pylint: disable=unused-argument
from __future__ import annotations
import logging
from pathlib import Path
from typing import TYPE_CHECKING
import pytest
from click.testi... | code_fim | hard | {
"lang": "python",
"repo": "onicagroup/runway",
"path": "/tests/integration/cli/commands/kbenv/test_install.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
caplog.set_level(logging.DEBUG, logger="runway.cli.commands.kbenv")
runner = CliRunner()
result = runner.invoke(cli, ["kbenv", "install", "v1.14.0"])
assert result.exit_code == 0
kb_bin = Path(caplog.messages[-1].replace("kubectl path: ", ""))
assert kb_bin.exists()<|fim_p... | code_fim | hard | {
"lang": "python",
"repo": "onicagroup/runway",
"path": "/tests/integration/cli/commands/kbenv/test_install.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for superheros in superheros:
print(f"this is my list of data base: {superheros}")
else:
print("im not read db")<|fim_prefix|># repo: santiagopc/course_python39_sz00 path: /mi_primer_insert.py
import db_connection
import psycopg2
<|fim_middle|>cursor = db_connection.connection1
if cursor... | code_fim | medium | {
"lang": "python",
"repo": "santiagopc/course_python39_sz00",
"path": "/mi_primer_insert.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: santiagopc/course_python39_sz00 path: /mi_primer_insert.py
import db_connection
import psycopg2
<|fim_suffix|> for superheros in superheros:
print(f"this is my list of data base: {superheros}")
else:
print("im not read db")<|fim_middle|>cursor = db_connection.connection1
if cursor... | code_fim | medium | {
"lang": "python",
"repo": "santiagopc/course_python39_sz00",
"path": "/mi_primer_insert.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lsst-sitcom/spot_motion_monitor path: /spot_motion_monitor/views/base_config_tab.py
# This file is part of spot_motion_monitor.
#
# Developed for LSST System Integration, Test and Commissioning.
#
# See the LICENSE file at the top-level directory of this distribution
# for details of code ownersh... | code_fim | hard | {
"lang": "python",
"repo": "lsst-sitcom/spot_motion_monitor",
"path": "/spot_motion_monitor/views/base_config_tab.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getConfiguration(self):
"""Get the configuration parameter's from the tab's widgets.
Raises
------
NotImplementedError
"""
raise NotImplementedError
def setConfiguration(self, config):
"""Set the configuration parameters into the tab's ... | code_fim | hard | {
"lang": "python",
"repo": "lsst-sitcom/spot_motion_monitor",
"path": "/spot_motion_monitor/views/base_config_tab.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
"""
# construct the operator and test it
operator = MaxOperator()
self.assertEquals(max(5, 2), operator(5, 2))
self.assertEquals("max_", operator.function_name())
self.assertEquals("""
def max_(x, y):
return max(x, y)
""", operator.fu... | code_fim | hard | {
"lang": "python",
"repo": "paulfjacobs/py-mep",
"path": "/tests/mep/genetics/test_operator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paulfjacobs/py-mep path: /tests/mep/genetics/test_operator.py
import unittest
from mep.genetics.operator import MultiplicationOperator, AdditionOperator, SubtractionOperator
from mep.genetics.operator import MinOperator, MaxOperator
class TestOperators(unittest.TestCase):
"""
Test the O... | code_fim | hard | {
"lang": "python",
"repo": "paulfjacobs/py-mep",
"path": "/tests/mep/genetics/test_operator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return x + y
""", operator.function_python_definition())
def test_subtraction_operator(self):
"""
"""
# construct the operator and test it
operator = SubtractionOperator()
self.assertEquals(5 - 2, operator(5, ... | code_fim | hard | {
"lang": "python",
"repo": "paulfjacobs/py-mep",
"path": "/tests/mep/genetics/test_operator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def back_driver(self):
driver = self.app.driver
driver.back()
def refresh(self):
driver = self.app.driver
driver.refresh()<|fim_prefix|># repo: smagdenko/webdriver path: /pages/base_page.py
from selenium import webdriver
class BasePage:
def __init__(self, ap... | code_fim | hard | {
"lang": "python",
"repo": "smagdenko/webdriver",
"path": "/pages/base_page.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smagdenko/webdriver path: /pages/base_page.py
from selenium import webdriver
class BasePage:
def __init__(self, app):
self.app = app
def checkout(self):
driver = self.app.driver
driver.find_element_by_xpath("//a[contains(.,'Checkout')]").click()
return s... | code_fim | medium | {
"lang": "python",
"repo": "smagdenko/webdriver",
"path": "/pages/base_page.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.event.command not in self.full_names:
raise PWarning("Не задано имя конфы, задайте его командой /конфа (название конфы)")
if self.event.args:
try:
self.check_sender(Role.CONFERENCE_ADMIN)
same_chats = self.bot.chat_model.filte... | code_fim | hard | {
"lang": "python",
"repo": "FuckBrains/petrovich",
"path": "/apps/bot/commands/Conference.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FuckBrains/petrovich path: /apps/bot/commands/Conference.py
from apps.bot.classes.Consts import Role, Platform
from apps.bot.classes.Exceptions import PWarning
from apps.bot.classes.common.CommonCommand import CommonCommand
class Conference(CommonCommand):
name = "конфа"
names = ["конфе... | code_fim | hard | {
"lang": "python",
"repo": "FuckBrains/petrovich",
"path": "/apps/bot/commands/Conference.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def start(self):
if self.event.command not in self.full_names:
raise PWarning("Не задано имя конфы, задайте его командой /конфа (название конфы)")
if self.event.args:
try:
self.check_sender(Role.CONFERENCE_ADMIN)
same_chats = self... | code_fim | hard | {
"lang": "python",
"repo": "FuckBrains/petrovich",
"path": "/apps/bot/commands/Conference.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.world = MultiWorld(1)
self.world.game[1] = "Minecraft"
self.world.worlds[1] = MinecraftWorld(self.world, 1)
exclusion_pools = ['hard', 'insane', 'postgame']
for pool in exclusion_pools:
setattr(self.world, f"include_{pool}_advancements", [False, Fal... | code_fim | medium | {
"lang": "python",
"repo": "adampziegler/Archipelago",
"path": "/test/minecraft/TestMinecraft.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _get_items(self, item_pool, all_except):
if all_except and len(all_except) > 0:
items = self.world.itempool[:]
items = [item for item in items if
item.name not in all_except and not ("Bottle" in item.name and "AnyBottle" in all_except)]
... | code_fim | hard | {
"lang": "python",
"repo": "adampziegler/Archipelago",
"path": "/test/minecraft/TestMinecraft.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adampziegler/Archipelago path: /test/minecraft/TestMinecraft.py
import worlds.minecraft.Options
from test.TestBase import TestBase
from BaseClasses import MultiWorld
from worlds import AutoWorld
from worlds.minecraft import MinecraftWorld
from worlds.minecraft.Items import MinecraftItem, item_tab... | code_fim | hard | {
"lang": "python",
"repo": "adampziegler/Archipelago",
"path": "/test/minecraft/TestMinecraft.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Hearen/OnceServer path: /Server/utils/OnceLogging.py
import sys, os, fcntl
import stat
import tempfile
import types
import inspect
import logging
import logging.handlers
import mkdir
MAX_BYTES = 1 << 20 # 1MB
BACKUP_COUNT = 5
STDERR_FORMAT = "[%(name)s] %(levelname)s (%(module)s:%(lineno)d) %(... | code_fim | hard | {
"lang": "python",
"repo": "Hearen/OnceServer",
"path": "/Server/utils/OnceLogging.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Rather unintuitively, getLevelName will get the number corresponding to
# a level name, as well as getting the name corresponding to a level
# number. setLevel seems to take the number only though, so convert if we
# are given a string.
if isinstance(level, types.StringType):
... | code_fim | hard | {
"lang": "python",
"repo": "Hearen/OnceServer",
"path": "/Server/utils/OnceLogging.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thierry-thevenet/did-siop path: /main.py
"""
Main script to start web server through Gunicorn
Arguments of main.py are in gunicornconf.py (global variables) :
$ gunicorn -c gunicornconf.py --reload wsgi:app
if script is launched without Gunicorn, setup environment variables first :
$ export MYC... | code_fim | hard | {
"lang": "python",
"repo": "thierry-thevenet/did-siop",
"path": "/main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Framework Flask and Session setup
app = Flask(__name__)
app.jinja_env.globals['Version'] = VERSION
app.jinja_env.globals['Created'] = time.ctime(os.path.getctime('main.py'))
app.jinja_env.globals['Chain'] = mychain.capitalize()
app.config['SESSION_PERMANENT'] = True
app.config['SESSION_COOKIE_NAME'] = '... | code_fim | hard | {
"lang": "python",
"repo": "thierry-thevenet/did-siop",
"path": "/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davehull/OSCPRepo path: /scripts/recon_enum/webrecon.py
#!/usr/bin/python
import sys
import os
import subprocess
import errno
import multiprocessing
from multiprocessing import Process
import time
import argparse
#See more: https://github.com/nmap/nmap/tree/master/scripts
#NSE Documentation
#R... | code_fim | hard | {
"lang": "python",
"repo": "davehull/OSCPRepo",
"path": "/scripts/recon_enum/webrecon.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__=='__main__':
parser = argparse.ArgumentParser(description='Rough script to handle Web enumeration, fingerprinting, and other less intensive scans. Usage: webrecon.py {} <http(s)://target url:port>')
parser.add_argument('-n', '--nmap', default='true', help="Run all (safe) nmap scripts ... | code_fim | hard | {
"lang": "python",
"repo": "davehull/OSCPRepo",
"path": "/scripts/recon_enum/webrecon.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser(description='Rough script to handle Web enumeration, fingerprinting, and other less intensive scans. Usage: webrecon.py {} <http(s)://target url:port>')
parser.add_argument('-n', '--nmap', default='true', help="Run all (safe) nmap scripts regarding HTTP scanning")
... | code_fim | hard | {
"lang": "python",
"repo": "davehull/OSCPRepo",
"path": "/scripts/recon_enum/webrecon.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # --- Generating all files in a workdir
fastfiles=fastlib.templateReplace(PARAMS,ref_dir,work_dir,RemoveRefSubFiles=True,RemoveAllowed=True,main_file=main_file)
# --- Creating a batch script just in case
fastlib.writeBatch(os.path.join(work_dir,'_RUN_ALL.bat'), fastfiles,fastExe=FAST_EXE)... | code_fim | hard | {
"lang": "python",
"repo": "michalehu/welib",
"path": "/welib/fast/_examples/Example_PowerCurve_Parametric.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: michalehu/welib path: /welib/fast/_examples/Example_PowerCurve_Parametric.py
import numpy as np
import os
try:
import welib.fast.fastlib as fastlib
except:
import fastlib
def PowerCurveParametricExample1():
""" Example to run a set of FAST simulations to determine a power curve.
... | code_fim | hard | {
"lang": "python",
"repo": "michalehu/welib",
"path": "/welib/fast/_examples/Example_PowerCurve_Parametric.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def process_file( file, newfile ):
import string
print( "File: " , file )
f = open(file,"r+")
text = f.read()
f.close()
newtext = text
lines = run_program_get_error( file )
if lines:
for line in lines.splitlines():
import re
matched = re.... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/atlas",
"path": "/doc/example-grids/update_uid.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ecmwf/atlas path: /doc/example-grids/update_uid.py
#!/usr/bin/env python3
#
# This script checks all example-grids and updates the uid to a newly calculated uid
# The only argument to this script is the path to the "atlas-grids" executable
#
# !!! WARNING !!!
# Execution overwrites existing "... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/atlas",
"path": "/doc/example-grids/update_uid.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> f = open(file,"r+")
text = f.read()
f.close()
newtext = text
lines = run_program_get_error( file )
if lines:
for line in lines.splitlines():
import re
matched = re.match( r"Check failed: grid uid (.*) expected to be (.*)$", line )
if ma... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/atlas",
"path": "/doc/example-grids/update_uid.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PythonUnited/keyword-extractor path: /api.py
from flask import Flask, request
from flask_restful import Resource, Api
<|fim_suffix|>if __name__ == '__main__':
app = create_app()
app.run(host ='0.0.0.0', debug=True)<|fim_middle|>from multi_rake import Rake
def create_app():
app = Fl... | code_fim | hard | {
"lang": "python",
"repo": "PythonUnited/keyword-extractor",
"path": "/api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class KeywordExtractor(Resource):
def get(self, language_code=None):
rake = Rake(language_code=language_code)
text = request.form.get('text')
if text:
return rake.apply(text)
return 'No text given', 400
if __name__ == '__main__':
app = create_app()
... | code_fim | hard | {
"lang": "python",
"repo": "PythonUnited/keyword-extractor",
"path": "/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return 'No text given', 400
if __name__ == '__main__':
app = create_app()
app.run(host ='0.0.0.0', debug=True)<|fim_prefix|># repo: PythonUnited/keyword-extractor path: /api.py
from flask import Flask, request
from flask_restful import Resource, Api
from multi_rake import Rake
def cr... | code_fim | medium | {
"lang": "python",
"repo": "PythonUnited/keyword-extractor",
"path": "/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if message['custid'] not in self.custBalances:
self.custBalances[message['custid']] = 0
if message['type'] == 'dep':
self.custBalances[message['custid']] += message['amt']
else:
self.custBalances[message['custid']] -= mess... | code_fim | hard | {
"lang": "python",
"repo": "malbt/Kafka3-Data",
"path": "/phase2/limit_consumer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: malbt/Kafka3-Data path: /phase2/limit_consumer.py
from kafka import KafkaConsumer, TopicPartition, conn
from json import loads
class XactionConsumer:
def __init__(self):
self.consumer = KafkaConsumer('bank-customer-events',
bootstrap_servers=['l... | code_fim | hard | {
"lang": "python",
"repo": "malbt/Kafka3-Data",
"path": "/phase2/limit_consumer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> owner_references_set = "satisfied" if t.test_owner_references_set() else \
"not satisfied"
kube_openapi_annotations_on_type_definitions = "satisfied" if \
t.test_kube_openapi_annotations_on_typedefs() else "not satisfied"
custom_resource_spec_validation = "satisfied" if \
... | code_fim | hard | {
"lang": "python",
"repo": "cloud-ark/kubeplus",
"path": "/operator-analysis/analysis/analysis.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cloud-ark/kubeplus path: /operator-analysis/analysis/analysis.py
#!/usr/bin/env python3
from logzero import logger
from analysis.utils import clone, search_for_key, search_for_file, \
get_repo_name, delete, search_for_folders_with_file
import os
import traceback
import re
class Guidelines:
... | code_fim | hard | {
"lang": "python",
"repo": "cloud-ark/kubeplus",
"path": "/operator-analysis/analysis/analysis.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iLORESTeam/python-redfish-utility path: /src/extensions/SCALABLE PERSISTENT MEMORY COMMANDS/EnableScalablePmemCommand.py
###
# Copyright 2016 Hewlett Packard Enterprise, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file excep... | code_fim | hard | {
"lang": "python",
"repo": "iLORESTeam/python-redfish-utility",
"path": "/src/extensions/SCALABLE PERSISTENT MEMORY COMMANDS/EnableScalablePmemCommand.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> scalable_pmem_config = ScalablePersistentMemoryConfig(self._restHelpers,\
validator, self._chif_lib)
scalable_pmem_config.refresh()
# pre-validation
self._helpers.validateFeatureIsSupported(scalable_pmem_config)
... | code_fim | hard | {
"lang": "python",
"repo": "iLORESTeam/python-redfish-utility",
"path": "/src/extensions/SCALABLE PERSISTENT MEMORY COMMANDS/EnableScalablePmemCommand.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._helpers.noticeRestartRequired(scalable_pmem_config)
sys.stdout.write("\n\n")
def run(self, line):
""" Wrapper function for the Remove logical NVDIMM command
:param line: command line input
:type line: string.
"""
LOGGER.info("Scalable PM... | code_fim | hard | {
"lang": "python",
"repo": "iLORESTeam/python-redfish-utility",
"path": "/src/extensions/SCALABLE PERSISTENT MEMORY COMMANDS/EnableScalablePmemCommand.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BrownDwarf/welter path: /code/batch_plot_mix.py
#!/usr/bin/env python
import os
import yaml
import numpy as np
import h5py
ms = range(100, 117)
#ms = range(72, 94+1)
#ms = list(range(72, 94+1)) + list(range(99, 119))
os.chdir(os.path.expandvars('$WELTER/sf/'))
os.getcwd()
<|fim_suffix|> p... | code_fim | medium | {
"lang": "python",
"repo": "BrownDwarf/welter",
"path": "/code/batch_plot_mix.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('Plotting results from m{:03d}'.format(m))
os.system('cp temp_emcee_chain.npy emcee_chain.npy')
os.system('plot_many_mix_models.py --static')
os.system('cp mix_model.png '+
os.path.expandvars('$WELTER/results/fig/mix_models_run02/mix_model_m{:03d}.png'.format(m)))
os.chdir(o... | code_fim | medium | {
"lang": "python",
"repo": "BrownDwarf/welter",
"path": "/code/batch_plot_mix.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.maxLength = currentDepth - 1
print(self.maxLength)
self.solutions.append(self.p1soln + self.p2soln)
print(self.solutions)
elif d > 0:
if max(self.table.cpPrune[p[0]], self.table.epPrune[p[1]], self.table.udPrune2[p[... | code_fim | hard | {
"lang": "python",
"repo": "ryomakawakami/rubikscube",
"path": "/rubikscube/solver.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.p2soln = []
n = len(self.solutions)
while d <= self.maxLength - self.p1Length:
self.phase2(p, d, n)
d += 1
def phase2(self, p, d, numSolutions):
if numSolutions != len(self.solutions):
return
if self.p1Length + len(sel... | code_fim | hard | {
"lang": "python",
"repo": "ryomakawakami/rubikscube",
"path": "/rubikscube/solver.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ryomakawakami/rubikscube path: /rubikscube/solver.py
from rubikscube.tables import Table
import rubikscube.cubie_cube.cube as cubie
import rubikscube.cubie_cube.constant as constant
import copy
class Solver:
def __init__(self):
self.table = Table()
def kociemba(self, cube):
... | code_fim | hard | {
"lang": "python",
"repo": "ryomakawakami/rubikscube",
"path": "/rubikscube/solver.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for item in Item.objects.all():
if item.category is None:
item.category = item.item_model.category
if item.name is None:
item.name = item.item_model.name
item.save()
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Set item c... | code_fim | medium | {
"lang": "python",
"repo": "Findspire/workflow",
"path": "/scripts/item_category.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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