text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> """Getting information about an object. Called for directories and unknown paths."""
elog("getting info on {}".format(cloud_path))
def got_info(self, cloud_obj):
"""Got information about an object."""
def creating_directory(self, cloud_folder):
"""Creating a directory."""
elog("creating dire... | code_fim | hard | {
"lang": "python",
"repo": "jpn--/pines",
"path": "/pines/egnyte.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jpn--/pines path: /pines/egnyte.py
ess_callbacks.upload_start("dictionary", file_obj, buffer.tell())
for i in range(retries):
try:
file_obj.upload(buffer)
except egnyte.exc.NotAuthorized:
elog('upload NotAuthorized: '+str(file_obj).replace('{','[').replace('}',']'))
time.sleep(inter... | code_fim | hard | {
"lang": "python",
"repo": "jpn--/pines",
"path": "/pines/egnyte.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def pip_install_1(egnyte_python_package_file):
import pip
from .temporary import TemporaryDirectory
tempdir = TemporaryDirectory()
download_file(egnyte_python_package_file, tempdir.name, overwrite=True, mkdir=False)
base_filename = os.path.basename(egnyte_python_package_file)
pip.main(['install', os... | code_fim | hard | {
"lang": "python",
"repo": "jpn--/pines",
"path": "/pines/egnyte.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># "filtered_models" dataset summary:
# 30 rows x 8 columns
# model_name feature_count bac_test rec_test bac_train rec_train time_fit time_score
# 17 SGD feature_set_1 StdScale 7 0.949 0.915 0.950 0.916 0.330 0.038
# 18 SGD featu... | code_fim | hard | {
"lang": "python",
"repo": "TeamEpicProjects/Customer-Prioritization-for-Marketing",
"path": "/solution/development/model_experiments/2.f_filter_candidate_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TeamEpicProjects/Customer-Prioritization-for-Marketing path: /solution/development/model_experiments/2.f_filter_candidate_models.py
# This script filters models based on the bac and recall scores
# given by the domain expert
import pandas as pd
import os
base_path = os.path.dirname(os.path.rea... | code_fim | hard | {
"lang": "python",
"repo": "TeamEpicProjects/Customer-Prioritization-for-Marketing",
"path": "/solution/development/model_experiments/2.f_filter_candidate_models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class CurrentSiteMiddleware(object):
def process_request(self, request):
request.__class__.site = LazySite()
return None<|fim_prefix|># repo: jess3/django path: /django/contrib/sites/middleware.py
class LazySite(object):
def __get__(self, request, obj_type=None):
<|fim_middle|> ... | code_fim | hard | {
"lang": "python",
"repo": "jess3/django",
"path": "/django/contrib/sites/middleware.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> request.__class__.site = LazySite()
return None<|fim_prefix|># repo: jess3/django path: /django/contrib/sites/middleware.py
class LazySite(object):
def __get__(self, request, obj_type=None):
if not hasattr(request, '_cached_site'):
from django.contrib.sites.models ... | code_fim | easy | {
"lang": "python",
"repo": "jess3/django",
"path": "/django/contrib/sites/middleware.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jess3/django path: /django/contrib/sites/middleware.py
class LazySite(object):
def __get__(self, request, obj_type=None):
<|fim_suffix|>class CurrentSiteMiddleware(object):
def process_request(self, request):
request.__class__.site = LazySite()
return None<|fim_middle|> ... | code_fim | hard | {
"lang": "python",
"repo": "jess3/django",
"path": "/django/contrib/sites/middleware.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ojhowribeiro/PythonProjects path: /exercicios/PycharmProjects/exepython/ex005.py
n = int(input('digite um numero: '))
print('o antecessor de {} é {} e o sucessor é {}'.format(n, n-1, n+1))
<|fim_suffix|>#2**(1/2) calcular a raiz quadrada'''<|fim_middle|>
'''n1 = int(input('digite um numero:... | code_fim | medium | {
"lang": "python",
"repo": "Ojhowribeiro/PythonProjects",
"path": "/exercicios/PycharmProjects/exepython/ex005.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#2**(1/2) calcular a raiz quadrada'''<|fim_prefix|># repo: Ojhowribeiro/PythonProjects path: /exercicios/PycharmProjects/exepython/ex005.py
n = int(input('digite um numero: '))
print('o antecessor de {} é {} e o sucessor é {}'.format(n, n-1, n+1))
<|fim_middle|>
'''n1 = int(input('digite um numero:... | code_fim | medium | {
"lang": "python",
"repo": "Ojhowribeiro/PythonProjects",
"path": "/exercicios/PycharmProjects/exepython/ex005.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ''' Expects input vocab indices as (batch, seq_len). Also requires a
list of lengths for dynamic batching. '''
q = Last_QA
ql = Last_QA_lengths
c = tar
cl = tar_lengths
h = hist
hl = hist_lengths
# write history embedding to mem... | code_fim | hard | {
"lang": "python",
"repo": "mfkiwl/CMN.pytorch",
"path": "/tasks/NDH/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''Initialize layer.'''
super(SoftDotAttention, self).__init__()
self.linear_in = nn.Linear(query_dim, ctx_dim, bias=False)
self.sm = nn.Softmax()
self.linear_out = nn.Linear(query_dim + ctx_dim, query_dim, bias=False)
self.tanh = nn.Tanh()
def forward(... | code_fim | hard | {
"lang": "python",
"repo": "mfkiwl/CMN.pytorch",
"path": "/tasks/NDH/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mfkiwl/CMN.pytorch path: /tasks/NDH/model.py
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from param import args
from DAN_modules.refer_find_modules import REFER, FI... | code_fim | hard | {
"lang": "python",
"repo": "mfkiwl/CMN.pytorch",
"path": "/tasks/NDH/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tridungduong16/research-phd-uts path: /fliptest/exact-ot/optimize_gurobi.py
import numpy as np
from gurobipy import Model, quicksum
def optimize(X1, X2, dists, counts1=None, counts2=None, decimals=6, verbose=True):
'''
Finds the optimal transport mapping between the people in Groups 1 an... | code_fim | hard | {
"lang": "python",
"repo": "tridungduong16/research-phd-uts",
"path": "/fliptest/exact-ot/optimize_gurobi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #organize the result into dicts
r12 = np.round(result * num_ppl1, decimals=decimals)
forward = {}
for i in range(num_rows1):
forward[i] = {j: r12[i,j] for j in range(num_rows2) if r12[i,j] != 0}
r21 = np.round(result.T * num_ppl2, decimals=decimals)
reverse = {}
for j i... | code_fim | medium | {
"lang": "python",
"repo": "tridungduong16/research-phd-uts",
"path": "/fliptest/exact-ot/optimize_gurobi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qtdemo1/acme-freight-controller path: /server/__init__.py
"""
Parent application that loads any child applications at their proper
paths. If we end up doing the static parts completely separately, this can
just load the API app directly.
"""
from server.exceptions import AuthenticationException
... | code_fim | medium | {
"lang": "python",
"repo": "qtdemo1/acme-freight-controller",
"path": "/server/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Wires the flask applications together into one wsgi app
:return: A flask/wsgi app that is composed of multiple sub apps
"""
from server.web import create_app
# If we do a static javascript app via flask, add it here
# from server.web import create_app as create_web_... | code_fim | medium | {
"lang": "python",
"repo": "qtdemo1/acme-freight-controller",
"path": "/server/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rjw57/streamkinect2 path: /test/testzeroconf.py
"""
Test ZeroConf service discovery.
"""
from logging import getLogger
from tornado.testing import AsyncTestCase
from zmq.eventloop.ioloop import ZMQIOLoop
from streamkinect2.server import Server, ServerBrowser
from streamkinect2.common import Endp... | code_fim | hard | {
"lang": "python",
"repo": "rjw57/streamkinect2",
"path": "/test/testzeroconf.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for s in listener.servers:
if s.name == server.name:
log.info('Discovered server has endpoint {0} which should be {1}'.format(
s.endpoint, server.endpoints[EndpointType.control]))
assert s.endpoint == server.endpoi... | code_fim | hard | {
"lang": "python",
"repo": "rjw57/streamkinect2",
"path": "/test/testzeroconf.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MisinformedDNA/pulumi-azure-native path: /sdk/python/pulumi_azure_native/web/v20150801/server_farm.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pul... | code_fim | hard | {
"lang": "python",
"repo": "MisinformedDNA/pulumi-azure-native",
"path": "/sdk/python/pulumi_azure_native/web/v20150801/server_farm.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> __props__ = dict()
__props__["admin_site_name"] = None
__props__["geo_region"] = None
__props__["hosting_environment_profile"] = None
__props__["kind"] = None
__props__["location"] = None
__props__["maximum_number_of_workers"] = None
__props... | code_fim | hard | {
"lang": "python",
"repo": "MisinformedDNA/pulumi-azure-native",
"path": "/sdk/python/pulumi_azure_native/web/v20150801/server_farm.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: athrn/kognitivo path: /task_widgets/find_in_table/find_in_table.py
import random
from kivy.app import App
from kivy.properties import StringProperty
from task_widgets.task_base.mixins import StartImmediatelyMixin
from answer_widgets import TableButtonsAnswerWidget, DisappearOnCorrectAnswerButto... | code_fim | medium | {
"lang": "python",
"repo": "athrn/kognitivo",
"path": "/task_widgets/find_in_table/find_in_table.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> values = list(self.point_set * self.SIZE)
random.shuffle(values)
widget = super(FindInTable, self).get_answer_widget(rows=self.SIZE, cols=self.SIZE)
widget.add_variants(values, self._check_answer)
return widget
def on_correct_answer(self, button):
App.g... | code_fim | hard | {
"lang": "python",
"repo": "athrn/kognitivo",
"path": "/task_widgets/find_in_table/find_in_table.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> raise NotImplementedError()
def get_description_widget(self, **kwargs):
alpha = list(self.generate_alphabet())
random.shuffle(alpha)
self.point_set = tuple(alpha[:self.SIZE])
self.correct_answer = random.choice(self.point_set)
widget = super(FindInTable... | code_fim | hard | {
"lang": "python",
"repo": "athrn/kognitivo",
"path": "/task_widgets/find_in_table/find_in_table.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Calculates the classification for each output layer.
Parameters
----------
y_true: tensor
raw_prediction: tensor
object_mask: tensor
batch_size: integer
Returns
-------
class_loss: float
"""
true_class_probabilities = y_true[..., 5:]
predicted_... | code_fim | hard | {
"lang": "python",
"repo": "timoSchma/Paprika_Kiwi_Object_Detector",
"path": "/src/model_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timoSchma/Paprika_Kiwi_Object_Detector path: /src/model_utils.py
1])
grid_x = K.tile(K.reshape(K.arange(0, stop=grid_shape[1]), [1, -1, 1, 1]),
[grid_shape[0], 1, 1, 1])
grid = K.concatenate([grid_x, grid_y])
grid = K.cast(grid, K.dtype(features))
return grid,... | code_fim | hard | {
"lang": "python",
"repo": "timoSchma/Paprika_Kiwi_Object_Detector",
"path": "/src/model_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timoSchma/Paprika_Kiwi_Object_Detector path: /src/model_utils.py
_base(features, anchors, num_classes, input_shape):
"""
Reshape anchors and features and adjust predictions to each spatial grid point and anchor size.
Parameters
----------
features: tensor
anchors: numpy.n... | code_fim | hard | {
"lang": "python",
"repo": "timoSchma/Paprika_Kiwi_Object_Detector",
"path": "/src/model_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
print("[+] COLLECTING EXCHANGES DATA...")
scheduler = Scheduler().get_scheduler()
scheduler.add_job(collect, "cron", hour="*")
# scheduler.add_job(collect, "cron", minute="*/1")
scheduler.start()
if __name__ == "__main__":
main()<|fim_prefix|># repo: otrenav/cvest-back... | code_fim | hard | {
"lang": "python",
"repo": "otrenav/cvest-backend",
"path": "/batch/markets/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: otrenav/cvest-backend path: /batch/markets/main.py
# FIX BEGIN
# Python 3 imports fix
import sys
sys.path.append("../../")
# FIX END
import logging
from datetime import datetime
from scheduler import Scheduler
from databases import MongoDatabase
from assets.exchanges import Exchange
logging... | code_fim | medium | {
"lang": "python",
"repo": "otrenav/cvest-backend",
"path": "/batch/markets/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: squishykid/solax path: /solax/inverters/x3_mic_pro_g2.py
import voluptuous as vol
from solax.inverter import Inverter
from solax.units import Total, Units
from solax.utils import div10, div100, pack_u16, to_signed, to_signed32, twoway_div10
class X3MicProG2(Inverter):
"""X3MicProG2 v3.008.... | code_fim | hard | {
"lang": "python",
"repo": "squishykid/solax",
"path": "/solax/inverters/x3_mic_pro_g2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {
"Grid 1 Voltage": (0, Units.V, div10),
"Grid 2 Voltage": (1, Units.V, div10),
"Grid 3 Voltage": (2, Units.V, div10),
"Grid 1 Current": (3, Units.A, twoway_div10),
"Grid 2 Current": (4, Units.A, twoway_div10),
"Grid 3 ... | code_fim | hard | {
"lang": "python",
"repo": "squishykid/solax",
"path": "/solax/inverters/x3_mic_pro_g2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> setup_responses()
source = SourceConvex()
streams = source.streams(
{
"deployment_url": "https://murky-swan-635.convex.cloud",
"access_key": "test_api_key",
}
)
assert len(streams) == 2
streams.sort(key=lambda stream: stream.table_name)
a... | code_fim | hard | {
"lang": "python",
"repo": "alldatacenter/alldata",
"path": "/dts/airbyte/airbyte-integrations/connectors/source-convex/unit_tests/test_source.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alldatacenter/alldata path: /dts/airbyte/airbyte-integrations/connectors/source-convex/unit_tests/test_source.py
#
# Copyright (c) 2023 Airbyte, Inc., all rights reserved.
#
from unittest.mock import MagicMock
import responses
from source_convex.source import SourceConvex
def setup_responses(... | code_fim | hard | {
"lang": "python",
"repo": "alldatacenter/alldata",
"path": "/dts/airbyte/airbyte-integrations/connectors/source-convex/unit_tests/test_source.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wuxiaodong1014/easydl2paddlex-det path: /utils.py
import os
import os.path as osp
import json
def get_file_name(file_path):
_, fullflname = os.path.split(file_path)
return fullflname
def mkdir_p(folder_path):
<|fim_suffix|> js_dicts = dict()
with open(json_path, "r", ... | code_fim | medium | {
"lang": "python",
"repo": "wuxiaodong1014/easydl2paddlex-det",
"path": "/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not osp.exists(folder_path):
os.mkdir(folder_path)
def read_json(json_path):
js_dicts = dict()
with open(json_path, "r", encoding="utf-8")as f:
js_dicts = json.load(f)
return js_dicts<|fim_prefix|># repo: wuxiaodong1014/easydl2paddlex-det path: /utils.py
import ... | code_fim | medium | {
"lang": "python",
"repo": "wuxiaodong1014/easydl2paddlex-det",
"path": "/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print rcgn.recognize(test)
return [thresh, hud, test]
def cnt_to_img(self, img, cnt):
rect = cv2.minAreaRect(cnt)
x,y,w,h = cv2.boundingRect(cnt)
angle = rect[2]
if (rect[1][0] > rect[1][1]):
angle = 90 + angle
mask = np.zeros_lik... | code_fim | hard | {
"lang": "python",
"repo": "ncos/checkq",
"path": "/normalize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> good_cnt.append(cnt)
return good_cnt
def postprocess(self, img):
d1 = cv2.getTrackbarPos('d1', self.windowname)
S1 = cv2.getTrackbarPos('S1', self.windowname)
S2 = cv2.getTrackbarPos('S2', self.windowname)
dilated = self.dilate(cv2.bitwise_not(img)... | code_fim | hard | {
"lang": "python",
"repo": "ncos/checkq",
"path": "/normalize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ncos/checkq path: /normalize.py
#!/usr/bin/python
import cv2
import numpy as np
import tflow_recognize as rcgn
class ImageDisplay:
def __init__(self, windowname):
self.windowname = windowname
cv2.namedWindow(windowname, cv2.WINDOW_NORMAL)
def show_blend(self, images... | code_fim | hard | {
"lang": "python",
"repo": "ncos/checkq",
"path": "/normalize.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # new candidate model, with PF inputs
+ pfImpactParameterTagInfos *
pfSecondaryVertexTagInfos *
pfCombinedSecondaryVertexBJetTags
)<|fim_prefix|># repo: wouf/cmssw path: /RecoBTag/Configuration/python/RecoBTag_cff.py
import FWCore.ParameterSet.Config as cms
# define the b-tag squences f... | code_fim | hard | {
"lang": "python",
"repo": "wouf/cmssw",
"path": "/RecoBTag/Configuration/python/RecoBTag_cff.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wouf/cmssw path: /RecoBTag/Configuration/python/RecoBTag_cff.py
import FWCore.ParameterSet.Config as cms
# define the b-tag squences for offline reconstruction
from RecoBTag.SoftLepton.softLepton_cff import *
from RecoBTag.ImpactParameter.impactParameter_cff import *
from RecoBTag.SecondaryVerte... | code_fim | hard | {
"lang": "python",
"repo": "wouf/cmssw",
"path": "/RecoBTag/Configuration/python/RecoBTag_cff.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ddierschow/cab984 path: /bin/prints.py
drawing, A MOKO LESNEY (capitals) in scroll, 1958-59',
'B4': 'B4: line drawing, A MOKO LESNEY (capitals) in scroll, 1959',
'B5': 'B5: line drawing, A MOKO LESNEY (capitals) in scroll, 1960',
'C': 'C: line drawing, A LESNEY in scroll, 1961',
'D1': 'D1: c... | code_fim | hard | {
"lang": "python",
"repo": "ddierschow/cab984",
"path": "/bin/prints.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def show_model(pif, mod, compact=False):
img = '' if compact else pif.render.format_image_required(mod['casting.id'], pdir=config.IMG_DIR_MAN, largest=mbdata.IMG_SIZ_SMALL)
url = "single.cgi?id=" + mod['casting.id']
ostr = '<center><a href="%s">%s<br>%s<br>' % (url, mod['id'], img)
ostr ... | code_fim | hard | {
"lang": "python",
"repo": "ddierschow/cab984",
"path": "/bin/prints.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ddierschow/cab984 path: /bin/prints.py
AT BRITAIN',
'W6': 'white © 1974 LESNEY PRODUCTS & CO. LTD. PRINTED AND MADE IN GREAT BRITAIN',
'W7': 'white © 1974 LESNEY PRODUCTS & CO. LTD. LONDON ENGLAND',
'BLK': 'black "TM"',
'RED': 'red "TM"',
'Sup': '"Superfast" in script',
'S... | code_fim | hard | {
"lang": "python",
"repo": "ddierschow/cab984",
"path": "/bin/prints.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: junaid340/UrduChatBot-using-Seq2Seq-Model path: /app.py
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 15 23:48:28 2019
@author: IrfanDanish
"""
from flask import Flask, render_template, request
from flask import jsonify
from chatbot_serving import chat_fun_english, chat_fun_urdu, model_loading... | code_fim | hard | {
"lang": "python",
"repo": "junaid340/UrduChatBot-using-Seq2Seq-Model",
"path": "/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/message_english', methods=['POST'])
def reply_english():
question = request.form['msg']
answer = chat_fun_english(question, model, chat_settings, chatlog_filepath)
write_response(question, answer, acs_point='Web App', language='english')
return jsonify( { 'text': answer} )
@... | code_fim | hard | {
"lang": "python",
"repo": "junaid340/UrduChatBot-using-Seq2Seq-Model",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Erodibility (units depend on m_sp)."""
return self._K
@K.setter
def K(self, new_val):
self._K = return_array_at_node(self._grid, new_val)
def run_one_step(self, dt):
"""A simple, explicit implementation of a stream power algorithm.
If you are routi... | code_fim | hard | {
"lang": "python",
"repo": "landlab/landlab",
"path": "/landlab/components/stream_power/stream_power.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # m and n will always be set, but care needs to be taken to include Q
# and W directly if appropriate
self._stream_power_erosion = self._grid.zeros(centering="node")
self._alpha = self._grid.zeros("node")
@property
def K(self):
"""Erodibility (units depend... | code_fim | hard | {
"lang": "python",
"repo": "landlab/landlab",
"path": "/landlab/components/stream_power/stream_power.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: landlab/landlab path: /landlab/components/stream_power/stream_power.py
permits longer
timesteps than a traditional explicit solver under such conditions, it
is still possible to create numerical instability through use of too long
a timestep while using this component. The user is ca... | code_fim | hard | {
"lang": "python",
"repo": "landlab/landlab",
"path": "/landlab/components/stream_power/stream_power.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: artas90/django-static-preprocessors path: /static_preprocessors/preprocessors/base.py
from abc import ABCMeta, abstractmethod
class AbstractPreprocessor(object):
__metaclass__ = ABCMeta
EXTENSIONS = []
<|fim_suffix|> @abstractmethod
def post_collect_static(self):
pass<|... | code_fim | medium | {
"lang": "python",
"repo": "artas90/django-static-preprocessors",
"path": "/static_preprocessors/preprocessors/base.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> EXTENSIONS = []
@abstractmethod
def compile_url(self, source_url):
pass
@abstractmethod
def post_collect_static(self):
pass<|fim_prefix|># repo: artas90/django-static-preprocessors path: /static_preprocessors/preprocessors/base.py
from abc import ABCMeta, abstractmet... | code_fim | medium | {
"lang": "python",
"repo": "artas90/django-static-preprocessors",
"path": "/static_preprocessors/preprocessors/base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: m-star18/atcoder path: /submissions/abc062/a.py
import sys
input = sys.stdin.readline
x, y = map(int, input().split())
gloup<|fim_suffix|> gloup_c) and (y in gloup_c)):
ans = 'Yes'
else:
ans = 'No'
print(ans)<|fim_middle|>_a = [1, 3, 5, 7, 8, 10, 12]
gloup_b = [4, 6, 9, 11]
gloup_c = [2]... | code_fim | medium | {
"lang": "python",
"repo": "m-star18/atcoder",
"path": "/submissions/abc062/a.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> gloup_c) and (y in gloup_c)):
ans = 'Yes'
else:
ans = 'No'
print(ans)<|fim_prefix|># repo: m-star18/atcoder path: /submissions/abc062/a.py
import sys
input = sys.stdin.readline
x, y = map(int, input().split())
gloup_a = [1, 3, 5, 7, 8, 10, 12]
gloup_b = [4, 6, 9, 11]
gloup_c = [2]
if ((x in <|f... | code_fim | medium | {
"lang": "python",
"repo": "m-star18/atcoder",
"path": "/submissions/abc062/a.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: susanow/ssnpy path: /ssnctl
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# MIT License
# Copyright (c) 2017 Susanow
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Softwar... | code_fim | hard | {
"lang": "python",
"repo": "susanow/ssnpy",
"path": "/ssnctl",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> argc = len(sys.argv)
argv = sys.argv
if (argc < 2):
usage()
exit(-1)
option = argv[1]
if (option == "nfvi"): nfvi.main (argc-1, argv[1:])
elif (option == "vnf" ): vnf.main (argc-1, argv[1:])
elif (option == "port"): port.main (argc-1, argv[1:])
eli... | code_fim | hard | {
"lang": "python",
"repo": "susanow/ssnpy",
"path": "/ssnctl",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> option = argv[1]
if (option == "nfvi"): nfvi.main (argc-1, argv[1:])
elif (option == "vnf" ): vnf.main (argc-1, argv[1:])
elif (option == "port"): port.main (argc-1, argv[1:])
elif (option == "ppp" ): ppp.main (argc-1, argv[1:])
elif (option == "d2" ): d2.main (arg... | code_fim | medium | {
"lang": "python",
"repo": "susanow/ssnpy",
"path": "/ssnctl",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shrank/networking-scripts path: /scripts/grep-server.py
# Python 3 server example
from http.server import BaseHTTPRequestHandler, HTTPServer
import time
from urllib import parse
import subprocess
import re
import os
hostName = ''
serverPort = 80
MAC_File="/data/ALL_DEVICES_MAC-PORT_LIST.txt"
data... | code_fim | hard | {
"lang": "python",
"repo": "shrank/networking-scripts",
"path": "/scripts/grep-server.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
webServer = HTTPServer((hostName, serverPort), MyServer)
print("Server started http://%s:%s" % (hostName, serverPort))
try:
webServer.serve_forever()
except KeyboardInterrupt:
pass
webServer.server_close()
print("Server stopped."... | code_fim | hard | {
"lang": "python",
"repo": "shrank/networking-scripts",
"path": "/scripts/grep-server.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> requestDeny = "/json/api/request-deny.php"
requestCancel = "/json/api/request-cancel.php"
requestSend = "/json/api/request-send.php"
# flist_reportSubmit = "/json/api/report-submit.php"
class requestsConstants:
userAgent = "python-flist-client/0.01"<|fim_prefix|># repo: FurtiveFox/fch... | code_fim | hard | {
"lang": "python",
"repo": "FurtiveFox/fchat_mod",
"path": "/fchat/constants.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FurtiveFox/fchat_mod path: /fchat/constants.py
class flistEndpoints:
""" https://toys.in.newtsin.space/api-docs/ """
domain = "https://f-list.net"
getApiTicket = "/json/getApiTicket.php"
mappingList = "/json/api/mapping-list.php"
characterData = "/json/api/character-data.php"... | code_fim | hard | {
"lang": "python",
"repo": "FurtiveFox/fchat_mod",
"path": "/fchat/constants.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: intelsdi-x/snap-plugin-lib-py path: /snap_plugin/v1/tests/test_config_map.py
# -*- coding: utf-8 -*-
# http://www.apache.org/licenses/LICENSE-2.0.txt
#
# Copyright 2016 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in comp... | code_fim | hard | {
"lang": "python",
"repo": "intelsdi-x/snap-plugin-lib-py",
"path": "/snap_plugin/v1/tests/test_config_map.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> del(cfg["bool"])
assert len(cfg) == 2
assert "bool" not in cfg.keys()
cfg.clear()
assert len(cfg) == 0
assert len(cfg.keys()) == 0
assert len(cfg.values()) == 0
def test_update(self):
cfg = ConfigMap(("int", 1), ("string", "asdf"), ("bo... | code_fim | hard | {
"lang": "python",
"repo": "intelsdi-x/snap-plugin-lib-py",
"path": "/snap_plugin/v1/tests/test_config_map.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from snap_plugin.v1.config_map import ConfigMap
class TestConfigMap(object):
def test_constructor(self):
# empty
cfg = ConfigMap()
assert len(cfg) == 0
# kwargs
cfg = ConfigMap(int=1, string="asdf", bool=True, float=1.1)
assert len(cfg) == 4
a... | code_fim | hard | {
"lang": "python",
"repo": "intelsdi-x/snap-plugin-lib-py",
"path": "/snap_plugin/v1/tests/test_config_map.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chris48s/UK-Polling-Stations path: /polling_stations/apps/whitelabel/urls.py
from django.conf.urls import patterns, include, url
from django.conf import settings
<|fim_suffix|>urlpatterns = patterns(
'',
url(r'', include(core_patterns)),
)<|fim_middle|>from polling_stations.urls import c... | code_fim | easy | {
"lang": "python",
"repo": "chris48s/UK-Polling-Stations",
"path": "/polling_stations/apps/whitelabel/urls.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = patterns(
'',
url(r'', include(core_patterns)),
)<|fim_prefix|># repo: chris48s/UK-Polling-Stations path: /polling_stations/apps/whitelabel/urls.py
from django.conf.urls import patterns, include, url
from django.conf import settings
<|fim_middle|>from polling_stations.urls import c... | code_fim | easy | {
"lang": "python",
"repo": "chris48s/UK-Polling-Stations",
"path": "/polling_stations/apps/whitelabel/urls.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sethah/allencv path: /allencv/tests/predictors/object_detection/region_proposal_network.py
from allencv.common.testing import AllenCvTestCase
from allencv.data.dataset_readers import ImageAnnotationReader
from allencv.predictors import ImagePredictor
from allencv.models.object_detection import RP... | code_fim | medium | {
"lang": "python",
"repo": "sethah/allencv",
"path": "/allencv/tests/predictors/object_detection/region_proposal_network.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_predictor(self):
backbone = ResnetEncoder('resnet18')
fpn_out_channels = 256
fpn_backbone = FPN(backbone, fpn_out_channels)
anchor_sizes = [[32], [64], [128], [256], [512]]
anchor_aspect_ratios = [[0.5, 1.0, 2.0], [0.5, 1.0, 2.0], [0.5, 1.0, 2.0],
... | code_fim | medium | {
"lang": "python",
"repo": "sethah/allencv",
"path": "/allencv/tests/predictors/object_detection/region_proposal_network.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PRBonn/semantic-kitti-api path: /content.py
#!/usr/bin/env python3
# This file is covered by the LICENSE file in the root of this project.
import argparse
import os
import yaml
import numpy as np
import collections
from auxiliary.laserscan import SemLaserScan
if __name__ == '__main__':
parse... | code_fim | hard | {
"lang": "python",
"repo": "PRBonn/semantic-kitti-api",
"path": "/content.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> seq_accum = collections.OrderedDict(
sorted(seq_accum.items(), key=lambda t: t[0]))
# print and send to total
total += seq_total
print("seq ", seqstr, "total", seq_total)
for key, data in seq_accum.items():
accum[key] += data
print(data)
# print content to fill ... | code_fim | hard | {
"lang": "python",
"repo": "PRBonn/semantic-kitti-api",
"path": "/content.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def enum_processes(process_name=None):
procs = [(pid, None) for pid in wproc.EnumProcesses()]
return _filter_processes(procs, search_name=process_name)<|fim_prefix|># repo: Useems/TrydRPC path: /src/utils/process.py
# Credits: https://stackoverflow.com/a/31280850/9190858
import sys
import os
imp... | code_fim | hard | {
"lang": "python",
"repo": "Useems/TrydRPC",
"path": "/src/utils/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if search_name is None:
return processes
filtered = []
for pid, _ in processes:
try:
proc = wapi.OpenProcess(wcon.PROCESS_ALL_ACCESS, 0, pid)
except:
continue
try:
file_name = wproc.GetModuleFileNameEx(proc, None)
exce... | code_fim | medium | {
"lang": "python",
"repo": "Useems/TrydRPC",
"path": "/src/utils/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Useems/TrydRPC path: /src/utils/process.py
# Credits: https://stackoverflow.com/a/31280850/9190858
import sys
import os
import traceback
import win32con as wcon
import win32api as wapi
import win32gui as wgui
import win32process as wproc
<|fim_suffix|> param = {
"pid": pid,
"... | code_fim | hard | {
"lang": "python",
"repo": "Useems/TrydRPC",
"path": "/src/utils/process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mysql_5_6 = topologies[str(self.mysql_5_6)]
self.assertEqual(1, len(mysql_5_6))
self.assertIn(self.foxha_topology, mysql_5_6)
mysql_5_7 = topologies[str(self.mysql_5_7)]
self.assertEqual(1, len(mysql_5_7))
self.assertIn(self.foxha_topology, mysql_5_7)
... | code_fim | hard | {
"lang": "python",
"repo": "TiagoDanin-Forks/database-as-a-service",
"path": "/dbaas/physical/tests/test_plan_replication_topologies.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TiagoDanin-Forks/database-as-a-service path: /dbaas/physical/tests/test_plan_replication_topologies.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.test import TestCase
from django.contrib.admin.sites import AdminSite
from ..models import Plan, Eng... | code_fim | hard | {
"lang": "python",
"repo": "TiagoDanin-Forks/database-as-a-service",
"path": "/dbaas/physical/tests/test_plan_replication_topologies.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LuzieH/pytpt path: /examples/triplewell_example.py
from pytpt import stationary
from pytpt import periodic
from pytpt import finite
import numpy as np
import os.path
# define directories path to save the data and figures
my_path = os.path.abspath(os.path.dirname(__file__))
data_path = os.path... | code_fim | hard | {
"lang": "python",
"repo": "LuzieH/pytpt",
"path": "/examples/triplewell_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return T_small_noise # T_m[np.mod(m,M),:,:].squeeze()
# compute stationary density of triple well with small noise to get initial density
well3_small_noise = stationary.tpt(T_small_noise, ind_A, ind_B, ind_C)
stat_dens_small_noise = well3_small_noise.stationary_density()
init_dens_triple_bif = stat_d... | code_fim | hard | {
"lang": "python",
"repo": "LuzieH/pytpt",
"path": "/examples/triplewell_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gatech-sysml/cwcf path: /config_datasets/mb_fakehpc.py
DATASET = "mb"
CLASSES = 2
FEATURES = 50
NN_SIZE = 128
DIFFICULTY = 1000
<|fim_suffix|>override = Override()<|fim_middle|>
class Override:
def __init__(self):
self.HPC_FILE = "../data/" + DATASET + "-hpc-fake"
| code_fim | medium | {
"lang": "python",
"repo": "gatech-sysml/cwcf",
"path": "/config_datasets/mb_fakehpc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
override = Override()<|fim_prefix|># repo: gatech-sysml/cwcf path: /config_datasets/mb_fakehpc.py
DATASET = "mb"
CLASSES = 2
FEATURES = 50
<|fim_middle|>NN_SIZE = 128
DIFFICULTY = 1000
class Override:
def __init__(self):
self.HPC_FILE = "../data/" + DATASET + "-hpc-fake"
| code_fim | medium | {
"lang": "python",
"repo": "gatech-sysml/cwcf",
"path": "/config_datasets/mb_fakehpc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pasha369/Points path: /points/appls/points/urls.py
# -*- coding: utf-8 -*-
from django.conf.urls import url
app_path = 'appls.points.views.'
urlpatterns = [
# place
url(r'^add/$', app_path+'place.add_place', name='add'),
url(r'^remove/$',
app_path+'place.remove_place', ... | code_fim | hard | {
"lang": "python",
"repo": "pasha369/Points",
"path": "/points/appls/points/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ame='save_route'),
# trip
url(r'^add-trip/$',
app_path+'trip.create_trip', name='add_trip'),
url(r'^get-all/$',
app_path+'trip.get_all', name='get_all'),
url(r'^subscribe-trip/$',
app_path+'trip.subscribe_trip', name='subscribe_trip'),
url(r'^... | code_fim | hard | {
"lang": "python",
"repo": "pasha369/Points",
"path": "/points/appls/points/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> script += _BASE_CLUSTER_SCRIPT_END
script = script.format(**opts)
if (scheduler == "pbs") and len(opts["batch_ids"]) == 1:
# PBS can't handle arrays jobs of size 1...
script = script.replace("#PBS -J 1-1\n", "").replace(
"$PBS_ARRAY_INDEX", "1"
)
retur... | code_fim | hard | {
"lang": "python",
"repo": "jcmgray/xyzpy",
"path": "/xyzpy/gen/cropping.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jcmgray/xyzpy path: /xyzpy/gen/cropping.py
ts.
constants : mapping, optional
Provide additional constant function values to use when sowing.
shuffle : bool or int, optional
If given, sow the combos in a random order (using ``random.seed``
and ``... | code_fim | hard | {
"lang": "python",
"repo": "jcmgray/xyzpy",
"path": "/xyzpy/gen/cropping.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Class for retrieving the batched, flat, 'grown' results.
Parameters
----------
crop : xyzpy.Crop
Description of where and how to store the cases and results.
"""
self.crop = crop
files = (
os.path.join(self.crop.location,... | code_fim | hard | {
"lang": "python",
"repo": "jcmgray/xyzpy",
"path": "/xyzpy/gen/cropping.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>y.image
import vipy.linalg
import vipy.math
import vipy.object
import vipy.util
import vipy.version
import vipy.video
import vipy.videosearch
import vipy.visualize<|fim_prefix|># repo: fangyang1996212/vipy path: /vipy/__init__.py
# Import all subpackages
import vipy.show # matplotlib first
import vipy.a... | code_fim | medium | {
"lang": "python",
"repo": "fangyang1996212/vipy",
"path": "/vipy/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fangyang1996212/vipy path: /vipy/__init__.py
# Import all subpackages
import vipy.show # matplotlib first
import vipy.annotation
import vipy.calibration
import vipy.downloader
import vipy.geometry
import vip<|fim_suffix|>mport vipy.version
import vipy.video
import vipy.videosearch
import vipy.vi... | code_fim | medium | {
"lang": "python",
"repo": "fangyang1996212/vipy",
"path": "/vipy/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @main.route('/post/comment/<int:posts_id>', methods=['GET', 'POST'])
@login_required
def post_comment(posts_id):
post = Post.query.get_or_404(posts_id)
form = CommentForm()
if form.validate_on_submit():
comment = request.form.get('comment')
comment = Comment(comment=comment, ... | code_fim | hard | {
"lang": "python",
"repo": "inziani/blog",
"path": "/app/main/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: inziani/blog path: /app/main/views.py
from datetime import datetime
from flask import render_template, session, redirect, url_for, request, flash
from flask_login import login_user, login_required, current_user
from .forms import PostForm, CommentForm
from app.models import Post, User, Comment
fr... | code_fim | hard | {
"lang": "python",
"repo": "inziani/blog",
"path": "/app/main/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: djanekovic/ekspertni path: /strategy.py
from abc import ABC
from cassowary import SimplexSolver, Variable
from random import choice, randint
from pysat.solvers import Solver as SATSolver
from pysat.card import CardEnc, EncType
class Strategy(ABC):
def get_random_field(self):
pass
... | code_fim | hard | {
"lang": "python",
"repo": "djanekovic/ekspertni",
"path": "/strategy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if field in self.current_adjacent_fields:
self.current_adjacent_fields.remove(field)
return boundary_list
def make_constraint(self, row_index, col_index):
"""
Compute equations for field (row_index, col_index)
"""
adjacent_fields = ... | code_fim | hard | {
"lang": "python",
"repo": "djanekovic/ekspertni",
"path": "/strategy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vaibhavantil/here-location-services-python path: /here_location_services/ls.py
ocation_services.config.routing_config.AVOID_FEATURES>`
:param avoid_areas: A list of areas to avoid during route calculation. To define avoid area.
:param exclude: A comma separated list of three-lette... | code_fim | hard | {
"lang": "python",
"repo": "vaibhavantil/here-location-services-python",
"path": "/here_location_services/ls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def lookup(self, location_id: str, lang: Optional[str] = None) -> LookupResponse:
"""
Get search results by providing ``location_id``.
:param location_id: A string representing id.
:param lang: A string to represent language to be used for result rendering from
... | code_fim | hard | {
"lang": "python",
"repo": "vaibhavantil/here-location-services-python",
"path": "/here_location_services/ls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> :class:`AutoCircleRegion <here_location_services.config.matrix_routing_config.AutoCircleRegion>`
:class:`WorldRegion <here_location_services.config.matrix_routing_config.WorldRegion>`
:param async_req: If set to True reuqests will be sent to asynchronous matrix routing API... | code_fim | hard | {
"lang": "python",
"repo": "vaibhavantil/here-location-services-python",
"path": "/here_location_services/ls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
if len(sys.argv) != 2:
_usage(sys.argv)
action = sys.argv[1]
if action not in _ACTIONS:
_usage(sys.argv)
if action == 'prepare':
prepare_data(_DATA_FILE, _ENCODING)
if action == 'file':
file = input('Enter file: data/')
... | code_fim | hard | {
"lang": "python",
"repo": "salceson/PJN",
"path": "/lab7/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: salceson/PJN path: /lab7/main.py
# coding: utf-8
import pickle
import sys
from functools import reduce
from flection import basic_form
from utils import prepare_data, cosine_metric
__author__ = "Michał Ciołczyk"
_DATA_FILE = 'data/pap.txt'
_ENCODING = 'utf-8'
_ACTIONS = ['prepare', 'file', 'se... | code_fim | hard | {
"lang": "python",
"repo": "salceson/PJN",
"path": "/lab7/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
if len(sys.argv) != 2:
_usage(sys.argv)
action = sys.argv[1]
if action not in _ACTIONS:
_usage(sys.argv)
if action == 'prepare':
prepare_data(_DATA_FILE, _ENCODING)
if action == 'file':
file = input('Enter file: data/')
... | code_fim | hard | {
"lang": "python",
"repo": "salceson/PJN",
"path": "/lab7/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mask, func_filenames = get_hcp_data(raw=True)
masker = NiftiMasker(mask_img=mask, smoothing_fwhm=None,
standardize=False)
masker.fit()
rsn70 = fetch_atlas_smith_2009().rsn70
components = masker.transform(rsn70)
print(components.shape)
enet_scale(compo... | code_fim | hard | {
"lang": "python",
"repo": "justinbuzzni/modl",
"path": "/examples/experimental/fmri/hcp_analysis.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main(output_dir, n_jobs):
dir_list = [join(output_dir, f) for f in os.listdir(output_dir) if
os.path.isdir(join(output_dir, f))]
mask, func_filenames = get_hcp_data(raw=True)
masker = NiftiMasker(mask_img=mask, smoothing_fwhm=None,
standardize=Fal... | code_fim | hard | {
"lang": "python",
"repo": "justinbuzzni/modl",
"path": "/examples/experimental/fmri/hcp_analysis.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: justinbuzzni/modl path: /examples/experimental/fmri/hcp_analysis.py
import fnmatch
import json
import os
from os.path import expanduser, join
import numpy as np
from nilearn.datasets import fetch_atlas_smith_2009
from nilearn.input_data import NiftiMasker
from sklearn.externals.joblib import del... | code_fim | hard | {
"lang": "python",
"repo": "justinbuzzni/modl",
"path": "/examples/experimental/fmri/hcp_analysis.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mosquito/aio-pika path: /aio_pika/queue.py
sage, AbstractQueue,
AbstractQueueIterator, ConsumerTag, TimeoutType, get_exchange_name,
)
from .exceptions import QueueEmpty
from .exchange import ExchangeParamType
from .log import get_logger
from .message import IncomingMessage
from .tools import ... | code_fim | hard | {
"lang": "python",
"repo": "mosquito/aio-pika",
"path": "/aio_pika/queue.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self._amqp_queue.channel.is_closed:
log.warning(
"Message %r lost when queue iterator %r channel closed",
msg,
self,
)
return
if self._consume_kwargs.get("no_ack", False)... | code_fim | hard | {
"lang": "python",
"repo": "mosquito/aio-pika",
"path": "/aio_pika/queue.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return QueueIterator(self, **kwargs)
class QueueIterator(AbstractQueueIterator):
DEFAULT_CLOSE_TIMEOUT = 5
@property
def consumer_tag(self) -> Optional[ConsumerTag]:
return getattr(self, "_consumer_tag", None)
async def close(self, *_: Any) -> Any:
log.debug("Ca... | code_fim | hard | {
"lang": "python",
"repo": "mosquito/aio-pika",
"path": "/aio_pika/queue.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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