text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: ChrisChV/Binance-Manager path: /src/Utils/sad.py
from decimal import *
_DF_ = "/"
_BINANCE_MODULE_DIR_NAME_ = "Binance"
_KEYS_FILE_NAME_ = ".keys"
_KEYS_FILE_PATH_ = _BINANCE_MODULE_DIR_NAME_ + _DF_ + _KEYS_FILE_NAME_
_CONFIG_FILE_NAME_ = "bm.conf"
_ENTRY_TYPE_ = 0
_LOSE_TYPE_ = 1
_PROFIT_TYP... | code_fim | hard | {
"lang": "python",
"repo": "ChrisChV/Binance-Manager",
"path": "/src/Utils/sad.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dangthill/timemory path: /timemory/gperf/cpu_profiler.py
#!@PYTHON_EXECUTABLE@
# MIT License
#
# Copyright (c) 2020, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory (subject to receipt of any
# required approvals from the U.S. Dept. of Energy). All ri... | code_fim | hard | {
"lang": "python",
"repo": "dangthill/timemory",
"path": "/timemory/gperf/cpu_profiler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> os.environ["CPUPROFILE_FREQUENCY"] = "{}".format(freq)
os.environ["MALLOCSTATS"] = "{}".format(malloc_stats)
os.environ["CPUPROFILE_REALTIME"] = "{}".format(realtime)
if preload:
_libpath = general.find_library_path("libprofiler")
if _libpath is not None:
raise... | code_fim | medium | {
"lang": "python",
"repo": "dangthill/timemory",
"path": "/timemory/gperf/cpu_profiler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _libs = general.get_linked_libraries(exe)
_liblist = []
if _libs is not None:
for _lib in _libs:
_liblist += ["--add_lib={}".format(_lib)]
general.execute(["google-pprof", "--text"] + _liblist +
args + [exe, fname], "{}.txt".format(fname))
gener... | code_fim | hard | {
"lang": "python",
"repo": "dangthill/timemory",
"path": "/timemory/gperf/cpu_profiler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(log, 'w') as logptr:
with open(configs, "r") as fptr:
for config in fptr:
if len(config) == 0 or config[0] == '#':
continue
config = config.strip()
full_config = os.path.join((CONFIG_BASE % (stage)), con... | code_fim | hard | {
"lang": "python",
"repo": "elitap/NiftyNet",
"path": "/NiftyNet/infer_trained_configs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: elitap/NiftyNet path: /NiftyNet/infer_trained_configs.py
import subprocess
import argparse
import os
import sys
import time
COARSE_STAGE = "coarse_stage"
FINE_STAGE = "fine_stage"
DATASET_SPLIT_FILE = "./data/HaN_MICCAI2015_Dataset/test_data_split.csv"
MODEL_BASE = "./%s/%s/models/model.ckpt-%d... | code_fim | hard | {
"lang": "python",
"repo": "elitap/NiftyNet",
"path": "/NiftyNet/infer_trained_configs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if os.path.exists(checkpoint_path):
cmd = INFERENCE_CMD % (full_config, os.path.join(SAVE_DIR_BASE, str(checkpoint)+seg_postfix), checkpoint, gpu, os.path.abspath(dataset_splitfile))
logptr.write("execute " + cmd + " \n")
... | code_fim | hard | {
"lang": "python",
"repo": "elitap/NiftyNet",
"path": "/NiftyNet/infer_trained_configs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: soros1321/trinity path: /src/proxy/api.py
from flask import Flask, request
from flask_jsonrpc import JSONRPC
from proxy.state import State
from channel_manager.state import ChannelAddress
from exception import ChannelDBAddFail
from channel_manager import manager
from flask_cors import CORS
... | code_fim | medium | {
"lang": "python",
"repo": "soros1321/trinity",
"path": "/src/proxy/api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@jsonrpc.method("closechannel")
def close_channel(sender_addr, receiver_addr,channel_name):
if manager.close_channel(sender_addr, receiver_addr,channel_name):
return "SUCCESS"
else:
return "Close Channel Fail"
@jsonrpc.method("getbalanceonchain")
def get_balance_onchain(... | code_fim | hard | {
"lang": "python",
"repo": "soros1321/trinity",
"path": "/src/proxy/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return manager.get_balance_onchain(local_address, asset_type)
@jsonrpc.method("updatedeposit")
def update_deposit(local_address, channel_name, asset_type, value):
return manager.update_deposit(local_address, channel_name, asset_type, value)
if __name__ == '__main__':
app.run(hos... | code_fim | hard | {
"lang": "python",
"repo": "soros1321/trinity",
"path": "/src/proxy/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_week_info(week_id):
week_info = OrderedDict()
cur_year = current_date.strftime("%Y")
url = ("https://fbschedules.com/wp-admin/admin-ajax.php?action=load_fbschedules_ajax&type=NCAA&" \
"display=current&team=¤t_season=%s&view=weekly&conference=&conference-division=&"... | code_fim | hard | {
"lang": "python",
"repo": "avenstewart/pyNCAA",
"path": "/NextGame.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: avenstewart/pyNCAA path: /NextGame.py
import contextlib
import urllib.request
import bs4 as bs
import json
import pytz
from datetime import datetime
from collections import OrderedDict
from time import sleep
bsoup = bs.BeautifulSoup
current_date = datetime.now()
timezone_str = "US/Central"
our_... | code_fim | hard | {
"lang": "python",
"repo": "avenstewart/pyNCAA",
"path": "/NextGame.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ecmwf/pyeccodes path: /pyeccodes/defs/param_limits_def.py
import pyeccodes.accessors as _
def load(h):
h.add(_.DoubleConstant('default_min_val', -1e+09))
h.add(_.DoubleConstant('default_max_val', 1e+09))
def param_value_min_inline_concept(h):
def wrapped(h):
p... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/pyeccodes",
"path": "/pyeccodes/defs/param_limits_def.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if paramId == 174098:
return 15
if paramId == 140229:
return 100
if paramId == 235:
return 380
if paramId == 228032:
return 100
if paramId == 33:
return 1000
... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/pyeccodes",
"path": "/pyeccodes/defs/param_limits_def.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if paramId == 260057:
return '-3'
if paramId == 136:
return '-50'
if paramId == 131:
return '-250'
if paramId == 132:
return '-250'
if paramId == 135:
return '-30... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/pyeccodes",
"path": "/pyeccodes/defs/param_limits_def.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> from . import hpi
import my.hypothesis as hyp
for h in hyp.get_highlights():
if isinstance(h, Exception):
yield h
continue
hl = h.highlight
ann = h.annotation
tags = h.tags
cparts = []
if hl is not None:
cparts... | code_fim | hard | {
"lang": "python",
"repo": "hirajanwin/promnesia",
"path": "/src/promnesia/sources/hypothesis.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hirajanwin/promnesia path: /src/promnesia/sources/hypothesis.py
'''
Uses HPI [[https://github.com/karlicoss/HPI/blob/master/doc/MODULES.org#myhypothesis][hypothesis]] module
'''
from ..common import Visit, Results, logger, Loc
<|fim_suffix|> from . import hpi
import my.hypothesis as hyp
... | code_fim | hard | {
"lang": "python",
"repo": "hirajanwin/promnesia",
"path": "/src/promnesia/sources/hypothesis.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: unsky/apollo path: /modules/tools/prediction/mlp_train/generate_labels.py
#!/usr/bin/env python
###############################################################################
# Copyright 2018 The Apollo Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "Licen... | code_fim | hard | {
"lang": "python",
"repo": "unsky/apollo",
"path": "/modules/tools/prediction/mlp_train/generate_labels.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = argparse.ArgumentParser(description = 'Generate labels')
parser.add_argument('-d', '--dir', help = 'directory containing features')
parser.add_argument('-f', '--file', help = 'feature file')
args = parser.parse_args()
directory = args.dir
file = args.file
if director... | code_fim | hard | {
"lang": "python",
"repo": "unsky/apollo",
"path": "/modules/tools/prediction/mlp_train/generate_labels.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if reactor.glucose_to_HP_rxn.X+ reactor.glucose_to_microbe_rxn.X +\
reactor.glucose_to_acetic_acid_rxn.X> 0.999:
remainder = 0.999 - reactor.glucose_to_HP_rxn.X
reactor.glucose_to_microbe_rxn.X = .3 * remainder
reactor.glucose_to_acetic_... | code_fim | hard | {
"lang": "python",
"repo": "dhkblaszyk/Bioindustrial-Park",
"path": "/BioSTEAM 2.x.x/biorefineries/HP/_process_specification.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dhkblaszyk/Bioindustrial-Park path: /BioSTEAM 2.x.x/biorefineries/HP/_process_specification.py
p
from biosteam.exceptions import InfeasibleRegion
from biorefineries.HP.units import compute_HP_titer, compute_HP_mass
# from biosteam.process_tools.reactor_specification import evaluate_across_TRY
_kg... | code_fim | hard | {
"lang": "python",
"repo": "dhkblaszyk/Bioindustrial-Park",
"path": "/BioSTEAM 2.x.x/biorefineries/HP/_process_specification.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dhkblaszyk/Bioindustrial-Park path: /BioSTEAM 2.x.x/biorefineries/HP/_process_specification.py
m biosteam.exceptions import InfeasibleRegion
from biorefineries.HP.units import compute_HP_titer, compute_HP_mass
# from biosteam.process_tools.reactor_specification import evaluate_across_TRY
_kg_per_... | code_fim | hard | {
"lang": "python",
"repo": "dhkblaszyk/Bioindustrial-Park",
"path": "/BioSTEAM 2.x.x/biorefineries/HP/_process_specification.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cctbx/cctbx_project path: /mmtbx/regression/pdb_interpretation/tst_edits.py
from __future__ import absolute_import, division, print_function
from mmtbx import monomer_library
import mmtbx.monomer_library.server
import mmtbx.monomer_library.pdb_interpretation
import mmtbx.model
from cctbx import g... | code_fim | hard | {
"lang": "python",
"repo": "cctbx/cctbx_project",
"path": "/mmtbx/regression/pdb_interpretation/tst_edits.py",
"mode": "psm",
"license": "BSD-3-Clause-LBNL",
"source": "the-stack-v2"
} |
<|fim_suffix|> wp_extract = working_phil.extract()
# print wp_extract.bond[0].atom_selection_1
# STOP()
# edits = None
geometry, xrs = make_initial_grm(mon_lib_srv, ener_lib, raw_records1, wp_extract)
# Check the .geo file
geo_fname = "pdb_interpretation_tst_edits_exercise_user_edits.geo"
geometry.write_... | code_fim | hard | {
"lang": "python",
"repo": "cctbx/cctbx_project",
"path": "/mmtbx/regression/pdb_interpretation/tst_edits.py",
"mode": "spm",
"license": "BSD-3-Clause-LBNL",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
Tuple[float, List[Any]]: An execution time and sorted result
"""
if epoch < 1:
epoch = 1
# TODO - runtime(lambda array, start, end: sort(array, start, end), "random", 5000)
# In case when we pass a function like
# lambda arr... | code_fim | hard | {
"lang": "python",
"repo": "IchiruTake/python-bigO-calculator",
"path": "/bigO/BigO.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> bestCase = self._complexity2int("O(n^3)")
worstCase = self._complexity2int("O(1)")
print(f"Running {function.__name__}(tests)")
for test in result:
cplx = self.test(function, test, prtResult=False)
result[test] = cplx
cplxInt = self._com... | code_fim | hard | {
"lang": "python",
"repo": "IchiruTake/python-bigO-calculator",
"path": "/bigO/BigO.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IchiruTake/python-bigO-calculator path: /bigO/BigO.py
_ in range(size)]
@staticmethod
def genRandomArray(size: int = 10):
return [randint(-size, size) for _ in range(size)]
@staticmethod
def genRandomBigArray(size: int = 10):
array = []
append = array.ap... | code_fim | hard | {
"lang": "python",
"repo": "IchiruTake/python-bigO-calculator",
"path": "/bigO/BigO.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns
-------
tensorfree model object
"""
return pretrain.factory.create(model_name)<|fim_prefix|># repo: andrew-alm/tensorfree path: /src/tensorfree/Tensorfree.py
from tensorfree.model import pretrain
def build(model_name):
<|fim_middle|> """
This function is used to const... | code_fim | hard | {
"lang": "python",
"repo": "andrew-alm/tensorfree",
"path": "/src/tensorfree/Tensorfree.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andrew-alm/tensorfree path: /src/tensorfree/Tensorfree.py
from tensorfree.model import pretrain
def build(model_name):
"""
This function is used to construct a new model.
Example use case:
`from tensorfree import Tensorfree
model = Tensorfree.build('NASNetLarge... | code_fim | medium | {
"lang": "python",
"repo": "andrew-alm/tensorfree",
"path": "/src/tensorfree/Tensorfree.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>complex_signal = hilbert(signal)
# Plot spectrums for signal and complex signal
plot_spectrum(signal, Fs=Fsamp_rate, NFFT=8192, title="Signal's Spectrum")
plot_spectrum(complex_signal, Fs=Fsamp_rate, NFFT=8192, title="Signal's Spectrum after Hilbert Transform")
plt.show()<|fim_prefix|># repo: KorotkiyE... | code_fim | medium | {
"lang": "python",
"repo": "KorotkiyEugene/dsp_sdr_basic",
"path": "/15/hilbert_harmonic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dummy, t, signal = create_harmonic(Fc=Fsig, Fs=Fsamp_rate, Amp=1, N=1e3)
complex_signal = hilbert(signal)
# Plot spectrums for signal and complex signal
plot_spectrum(signal, Fs=Fsamp_rate, NFFT=8192, title="Signal's Spectrum")
plot_spectrum(complex_signal, Fs=Fsamp_rate, NFFT=8192, title="Signal's ... | code_fim | medium | {
"lang": "python",
"repo": "KorotkiyEugene/dsp_sdr_basic",
"path": "/15/hilbert_harmonic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KorotkiyEugene/dsp_sdr_basic path: /15/hilbert_harmonic.py
import numpy as np
from common import create_harmonic, plot_spectrum
import matplotlib.pyplot as plt
from scipy.signal import hilbert
Fsamp_rate = 100e3
Fsig = 10e3 # Frequency of signal
<|fim_suffix|>plot_spectrum(signa... | code_fim | medium | {
"lang": "python",
"repo": "KorotkiyEugene/dsp_sdr_basic",
"path": "/15/hilbert_harmonic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: spacebigjam/OMNI_CFG_LOADER path: /omni_cfg_loader.py
import os
import json
import logging
VALID_EXTENSIONS = [".JSON"]
class CfgFile(object):
# > Constructor
def __init__(self, cfg_file_name):
self.cfg_file_name = cfg_file_name
self.file_extension = os.path.splitext(cfg_fil... | code_fim | hard | {
"lang": "python",
"repo": "spacebigjam/OMNI_CFG_LOADER",
"path": "/omni_cfg_loader.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> #def update_configuration(self):
# > PRIVATE -----------------------------------------------------
# > Group of cfg file basic validatons
def __validate(self, file_name):
validation_list = [
self.__file_exists(file_name),
self.__valid_extension()
]
if False in validation_li... | code_fim | hard | {
"lang": "python",
"repo": "spacebigjam/OMNI_CFG_LOADER",
"path": "/omni_cfg_loader.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi-alicloud path: /sdk/python/pulumi_alicloud/rds/db_instance_endpoint.py
self) -> pulumi.Input[str]:
"""
The vSwitch ID of the internal endpoint.
"""
return pulumi.get(self, "vswitch_id")
@vswitch_id.setter
def vswitch_id(self, value: pulumi.In... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/rds/db_instance_endpoint.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> resource_name: str,
args: DbInstanceEndpointArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provide RDS cluster instance endpoint connection resources, see [What is RDS DB Instance Endpoint](https://www.alibabacloud.com/help/en/a... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/rds/db_instance_endpoint.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> resource_args, opts = _utilities.get_resource_args_opts(DbInstanceEndpointArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resour... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-alicloud",
"path": "/sdk/python/pulumi_alicloud/rds/db_instance_endpoint.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ForestCSharp/armory path: /blender/arm/logicnode/animation_on_action_marker.py
import bpy
from bpy.props import *
from bpy.types import Node, NodeSocket
from arm.logicnode.arm_nodes import *
class OnActionMarkerNode(Node, ArmLogicTreeNode):
'''On action marker node'''
bl_idname = 'LNOnAc... | code_fim | medium | {
"lang": "python",
"repo": "ForestCSharp/armory",
"path": "/blender/arm/logicnode/animation_on_action_marker.py",
"mode": "psm",
"license": "Zlib",
"source": "the-stack-v2"
} |
<|fim_suffix|> def init(self, context):
self.inputs.new('ArmNodeSocketObject', 'Object')
self.inputs.new('NodeSocketString', 'Marker')
self.outputs.new('ArmNodeSocketAction', 'Out')
add_node(OnActionMarkerNode, category='Animation')<|fim_prefix|># repo: ForestCSharp/armory path: /blender/ar... | code_fim | medium | {
"lang": "python",
"repo": "ForestCSharp/armory",
"path": "/blender/arm/logicnode/animation_on_action_marker.py",
"mode": "spm",
"license": "Zlib",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = re.sub(r'%(.+?)%', substitute, format)
name = os.path.splitext(os.path.split(path)[1])[0] if not name else name
name = self.validate_name(name)
name += '.' + meta['format']
folder = self.savePath if self.savePath else os.path.dirname(path)
save = os.p... | code_fim | hard | {
"lang": "python",
"repo": "francis95-han/ncmdump",
"path": "/ui/mainUi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: francis95-han/ncmdump path: /ui/mainUi.py
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '网易云音乐.ui'
#
# Created by: PyQt5 UI code generator 5.9.2
#
# WARNING! All changes made in this file will be lost!
import os
import re
import sys
from PyQt5 import QtCore, QtWid... | code_fim | hard | {
"lang": "python",
"repo": "francis95-han/ncmdump",
"path": "/ui/mainUi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #For the rest of the segments, keep them as translation memory
project_cursor.execute(""" UPDATE source_segments
SET source_file = 'tm:' || source_file
WHERE segment_id IN (
SELECT source_segments.segment_id
FROM source_segments
LEFT JOIN variants
ON v... | code_fim | hard | {
"lang": "python",
"repo": "Babelruins/BlackCAT",
"path": "/core/db_op.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Babelruins/BlackCAT path: /core/db_op.py
ce_segments.segment_id, source_segments.segment, source_segments.language, source_segments.source_file
FROM variants
JOIN source_segments ON variants.source_segment = source_segments.segment_id
LIMIT 1;""")
except OperationalError:... | code_fim | hard | {
"lang": "python",
"repo": "Babelruins/BlackCAT",
"path": "/core/db_op.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.options = options
self.finished.connect(finished_callback)
#print("init -> ", self.options)
def run(self):
print("run -> ", self.options)
project_db = sqlite3.connect(self.options['project_path'])
project_cursor = project_db.cursor()
project_cursor.execute("INSERT OR REPLACE INTO va... | code_fim | hard | {
"lang": "python",
"repo": "Babelruins/BlackCAT",
"path": "/core/db_op.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>=a1<n and 0<=b1<m and row[a1][b1]<row[a][b] else 0
route_memo[(a,b)] = tmp
return tmp
print(route(0,0))<|fim_prefix|># repo: ch96an/BaekJoonSolution path: /Python_Codes_for_BJ/stage16 동적 계획법 기초/내리막 길.py
n, m = map(int, input().split())
row = [list(map(int, input().split())) for i in range(n)]
route_mem... | code_fim | hard | {
"lang": "python",
"repo": "ch96an/BaekJoonSolution",
"path": "/Python_Codes_for_BJ/stage16 동적 계획법 기초/내리막 길.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ch96an/BaekJoonSolution path: /Python_Codes_for_BJ/stage16 동적 계획법 기초/내리막 길.py
n, m = map(int, input().split())
row = [list(map(int, input().split())) for i in range(n)]
route_memo = {<|fim_suffix|>n route_memo[(a,b)]
tmp = 0
for v in vector:
a1, b1 = a + v[0], b + v[1]
tmp += route(a1, b1) ... | code_fim | medium | {
"lang": "python",
"repo": "ch96an/BaekJoonSolution",
"path": "/Python_Codes_for_BJ/stage16 동적 계획법 기초/내리막 길.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gengmoqi/trinity path: /trinity/extensibility/asyncio.py
from abc import abstractmethod
from typing import (
Any,
Callable,
)
from asyncio_run_in_process import run_in_process
from asyncio_run_in_process.typing import SubprocessKwargs
from async_service import background_asyncio_service
... | code_fim | hard | {
"lang": "python",
"repo": "gengmoqi/trinity",
"path": "/trinity/extensibility/asyncio.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def _do_run(self) -> None:
with child_process_logging(self._boot_info):
endpoint_name = self.get_endpoint_name()
event_bus_service = AsyncioEventBusService(
self._boot_info.trinity_config,
endpoint_name,
)
as... | code_fim | hard | {
"lang": "python",
"repo": "gengmoqi/trinity",
"path": "/trinity/extensibility/asyncio.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RSLancs/identifying_unknown_entities path: /bio_tag_corpus.py
## python 37
from pprint import pprint
import pandas as pd
import nltk
import csv
import time
import datetime
import json
def clean_plant_list(plant_list_in):
"""
Removes abbreviation plant names and duplicate plant nam... | code_fim | hard | {
"lang": "python",
"repo": "RSLancs/identifying_unknown_entities",
"path": "/bio_tag_corpus.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for item in out_data:
thefile.write("%s\n" % item)
##.....................................................
## open full tokenised corpus
with open('./data/full_spacy_split_MLcorpus_2020-02-28.txt', 'r', encoding='utf-8', errors='ignore') as f:
text = f.read().split('\n') # read in train c... | code_fim | hard | {
"lang": "python",
"repo": "RSLancs/identifying_unknown_entities",
"path": "/bio_tag_corpus.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Account
fields = (
'username',
'first_name',
'last_name',
'patronymic',
'email',
'passport_series',
'passport_number',
'password1',
'password2',
)<|fim_prefix|># repo... | code_fim | hard | {
"lang": "python",
"repo": "daniluuuuuuuk/BookFlights",
"path": "/src/apps/user/forms/forms.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daniluuuuuuuk/BookFlights path: /src/apps/user/forms/forms.py
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from apps.user.models import Account, MyAccountManager
<|fim_suffix|> first_name = forms.CharField(max_leng... | code_fim | medium | {
"lang": "python",
"repo": "daniluuuuuuuk/BookFlights",
"path": "/src/apps/user/forms/forms.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tingyao7798/crpyto-portfolio path: /utils/common.py
""" module where the commonly used methods are """
# core modules
import os
import logging.config
import yaml
# third party modules
<|fim_suffix|> default_level=logging.INFO):
"""Setup logging configuration
"""
pa... | code_fim | medium | {
"lang": "python",
"repo": "tingyao7798/crpyto-portfolio",
"path": "/utils/common.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> default_level=logging.INFO):
"""Setup logging configuration
"""
path = default_path
if os.path.exists(path):
with open(path, 'rt') as file:
config = yaml.safe_load(file.read())
logging.config.dictConfig(config)
else:
logging.basicCo... | code_fim | medium | {
"lang": "python",
"repo": "tingyao7798/crpyto-portfolio",
"path": "/utils/common.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Armcollector/lockdown-workout path: /config.py
import os
import urllib.parse
basedir = os.path.abspath(os.path.dirname(__file__))
<|fim_suffix|> SECRET_KEY = os.environ.get("SECRET_KEY") or "iR33OXoRSUj5"
SQLALCHEMY_DATABASE_URI = "mssql+pyodbc:///?odbc_connect={}".format(params)
SQ... | code_fim | medium | {
"lang": "python",
"repo": "Armcollector/lockdown-workout",
"path": "/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> SECRET_KEY = os.environ.get("SECRET_KEY") or "iR33OXoRSUj5"
SQLALCHEMY_DATABASE_URI = "mssql+pyodbc:///?odbc_connect={}".format(params)
SQLALCHEMY_TRACK_MODIFICATIONS = False
SQLALCHEMY_COMMIT_ON_TEARDOWN = True
VERSION = "2.1.0"
WTF_CSR_ENABLED = True
CACHE_TYPE = "simple"
... | code_fim | medium | {
"lang": "python",
"repo": "Armcollector/lockdown-workout",
"path": "/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parent_act = association_proxy('parent_legislation_act', 'act')
regulation_act = association_proxy('regulation_legislation_act', 'act')
section = association_proxy('regulation_legislation_act_section', 'section')
compliance_article_comments = association_proxy('compliance_article', 'commen... | code_fim | hard | {
"lang": "python",
"repo": "bcgov/mds",
"path": "/services/nris-api/backend/app/nris/models/noncompliance_legislation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> __tablename__ = "noncompliance_legislation"
__table_args__ = {
'comment':
'Contains the additional details about the contravention(s) relating to an issued order; i.e. estimated incident date, noncompliance description, regulations/act contravened.'
}
noncompliance_legislat... | code_fim | hard | {
"lang": "python",
"repo": "bcgov/mds",
"path": "/services/nris-api/backend/app/nris/models/noncompliance_legislation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bcgov/mds path: /services/nris-api/backend/app/nris/models/noncompliance_legislation.py
from datetime import datetime
from app.extensions import db, api
from flask_restplus import fields
from sqlalchemy.orm import validates
from sqlalchemy.ext.associationproxy import association_proxy
from app.nr... | code_fim | hard | {
"lang": "python",
"repo": "bcgov/mds",
"path": "/services/nris-api/backend/app/nris/models/noncompliance_legislation.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thomasuhc/Learn_Python_Full_Course_for_Beginners path: /Exercise 033.py
n1 = int(input('Enter number 1: '))
n2 = int(input('Enter number 2: '))
n3 = int(input('Enter number 3: '))
<|fim_suffix|>print("Menor e {}".format(menor))
print("Maior e {}".format(maior))<|fim_middle|>menor = n1
if n2 < n1... | code_fim | medium | {
"lang": "python",
"repo": "thomasuhc/Learn_Python_Full_Course_for_Beginners",
"path": "/Exercise 033.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("Menor e {}".format(menor))
print("Maior e {}".format(maior))<|fim_prefix|># repo: thomasuhc/Learn_Python_Full_Course_for_Beginners path: /Exercise 033.py
n1 = int(input('Enter number 1: '))
n2 = int(input('Enter number 2: '))
n3 = int(input('Enter number 3: '))
menor = n1
if n2 < n1 and n2 < n3:
... | code_fim | medium | {
"lang": "python",
"repo": "thomasuhc/Learn_Python_Full_Course_for_Beginners",
"path": "/Exercise 033.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> components, data = image_data(self.image)
texture = self.ctx.texture(
self.image.size,
components,
data,
)
texture.extra = {'meta': self.meta}
if self.meta.mipmap_levels is not None:
self.meta.mipmap = True... | code_fim | hard | {
"lang": "python",
"repo": "yoyonel/moderngl-window",
"path": "/moderngl_window/loaders/texture/t2d.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> texture = self.ctx.texture(
self.image.size,
components,
data,
)
texture.extra = {'meta': self.meta}
if self.meta.mipmap_levels is not None:
self.meta.mipmap = True
if self.meta.mipmap:
if isin... | code_fim | hard | {
"lang": "python",
"repo": "yoyonel/moderngl-window",
"path": "/moderngl_window/loaders/texture/t2d.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yoyonel/moderngl-window path: /moderngl_window/loaders/texture/t2d.py
import logging
from moderngl_window.loaders.texture.pillow import PillowLoader, image_data
logger = logging.getLogger(__name__)
<|fim_suffix|> """Load a 2d texture as configured in the supplied ``TextureDescri... | code_fim | hard | {
"lang": "python",
"repo": "yoyonel/moderngl-window",
"path": "/moderngl_window/loaders/texture/t2d.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ptr1 = head
ptr2 = meetPoint
while ptr2 != ptr1:
ptr1 = ptr1.next
ptr2 = ptr2.next
return ptr1
def detectLoop(head):
if head == None or head.next == None:
return False
slow = fast = head
while fast and fast.next:
slow = slow.next
fast... | code_fim | hard | {
"lang": "python",
"repo": "SupriyoDam/DS-450-python",
"path": "/LinkedList/143 find the starting point of the loop.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SupriyoDam/DS-450-python path: /LinkedList/143 find the starting point of the loop.py
class Node:
def __init__(self, data=None, next=None):
self.data = data
self.next = next
class LList:
def __init__(self):
self.head = None
self.tail = None
self.c... | code_fim | hard | {
"lang": "python",
"repo": "SupriyoDam/DS-450-python",
"path": "/LinkedList/143 find the starting point of the loop.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def check_alert(authz, alert):
entity = get_entity(alert.entity_id) if alert.entity_id else None
query = {'q': alert.query_text}
state = SearchQueryParser(query, authz)
query = AlertDocumentsQuery(state,
entity=entity,
since=... | code_fim | hard | {
"lang": "python",
"repo": "jigsawsecurity/aleph",
"path": "/aleph/logic/alerts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jigsawsecurity/aleph path: /aleph/logic/alerts.py
import logging
from pprint import pprint # noqa
from aleph.authz import Authz
from aleph.core import db, celery
from aleph.model import Role, Alert, Events
from aleph.index.entities import get_entity
from aleph.index.util import unpack_result
fr... | code_fim | hard | {
"lang": "python",
"repo": "jigsawsecurity/aleph",
"path": "/aleph/logic/alerts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> importlib.import_module("%s.%s" % (EXAMPLES_MOD, mod), PACKAGE_NAME)<|fim_prefix|># repo: spring-epfl/zksk path: /tests/test_examples.py
import os
import sys
import importlib
import pytest
PACKAGE_NAME = "zksk"
EXAMPLES_MOD = "examples"
BASE_PATH = dir_path = os.path.dirname(os.path.realpath(__file... | code_fim | medium | {
"lang": "python",
"repo": "spring-epfl/zksk",
"path": "/tests/test_examples.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: spring-epfl/zksk path: /tests/test_examples.py
import os
import sys
import importlib
import pytest
<|fim_suffix|>@pytest.mark.parametrize("mod", EXAMPLE_MODULE_NAMES)
def test_examples(mod):
importlib.import_module("%s.%s" % (EXAMPLES_MOD, mod), PACKAGE_NAME)<|fim_middle|>PACKAGE_NAME = "zk... | code_fim | hard | {
"lang": "python",
"repo": "spring-epfl/zksk",
"path": "/tests/test_examples.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abhinavshirur/WatchDocs path: /categories_db.py
import pickle
import sys
from pymongo import MongoClient
import sys
<|fim_suffix|>client = MongoClient('localhost', 27017)
db = client['watchdocs']
collection = db['categories']
categories=list()
allcategories=set()
with open("totalconc... | code_fim | medium | {
"lang": "python",
"repo": "abhinavshirur/WatchDocs",
"path": "/categories_db.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>for category in allcategories:
post = {"category":category}
post_id = collection.insert_one(post).inserted_id<|fim_prefix|># repo: abhinavshirur/WatchDocs path: /categories_db.py
import pickle
import sys
from pymongo import MongoClient
import sys
reload(sys)
sys.setdefaultencoding('utf8')
c... | code_fim | hard | {
"lang": "python",
"repo": "abhinavshirur/WatchDocs",
"path": "/categories_db.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>for category in categories:
for category_one in category:
allcategories.add(category_one)
allcategories=sorted(allcategories)
print(allcategories)
print(len(allcategories))
for category in allcategories:
post = {"category":category}
post_id = collection.insert_one(post).inserted_id<|fim... | code_fim | medium | {
"lang": "python",
"repo": "abhinavshirur/WatchDocs",
"path": "/categories_db.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BrandonBian/OSDR-GNN-Customized path: /GNN/train.py
loss1 = nn.CrossEntropyLoss(weight=weights_l1)(logits_l1[is_labeled], batch.y1[is_labeled])
is_labeled = batch.y2 > 0
loss2 = nn.CrossEntropyLoss(weight=weights_l2)(logits_l2[is_labeled], batch.y2[is_labeled])
... | code_fim | hard | {
"lang": "python",
"repo": "BrandonBian/OSDR-GNN-Customized",
"path": "/GNN/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # TODO: store the test results of the material predictions - done
for measure in ['micro', 'macro', 'weighted']: # store the data
result[f'material test results']['f1'][measure]['data'].append(
f1_score(material_p, material_t, average=measure, zero_division=0))... | code_fim | hard | {
"lang": "python",
"repo": "BrandonBian/OSDR-GNN-Customized",
"path": "/GNN/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BrandonBian/OSDR-GNN-Customized path: /GNN/train.py
self.num_class_l2, self.num_class_l3).to(self.device)
elif args.network == 'linear':
self.model = Linear(self.node_dim, self.hid_dim, self.num_class_l1,
self.num_class_l2, self.num_class_l3).... | code_fim | hard | {
"lang": "python",
"repo": "BrandonBian/OSDR-GNN-Customized",
"path": "/GNN/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print('-' * 45)
print('Panificadora Pão de Ontem - Tabela de preços')
print('-' * 45)
for cont in range (1, 51):
print(f'{cont} - R$ {cont*preco_pao:.2f}') #":.2f" formatação de 2 casas depois do ponto.
print('-' * 45)<|fim_prefix|># repo: Lorranysousc/ExerciciosDeRepeticao path: /ex30.py
'''O Sr. Ma... | code_fim | medium | {
"lang": "python",
"repo": "Lorranysousc/ExerciciosDeRepeticao",
"path": "/ex30.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lorranysousc/ExerciciosDeRepeticao path: /ex30.py
'''O Sr. Manoel Joaquim acaba de adquirir uma panificadora e pretende implantar a metodologia da tabelinha, que já é um sucesso na sua loja de 1,99. Você foi contratado para desenvolver o programa que monta a tabela de preços de pães, de 1 até 50 ... | code_fim | medium | {
"lang": "python",
"repo": "Lorranysousc/ExerciciosDeRepeticao",
"path": "/ex30.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(NSHashTableWeakMemory, NSPointerFunctionsWeakMemory)
@expectedFailure
def testFunctions(self):
self.fail("NSHasTable functions")
def testMethods(self):
self.assertResultIsBOOL(NSHashTable.containsObject_)
self.assertResultIsBOOL(NSHashTable.i... | code_fim | medium | {
"lang": "python",
"repo": "GreatFruitOmsk/pyobjc-mirror",
"path": "/pyobjc-framework-Cocoa/PyObjCTest/test_nshashtable.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @min_os_level('10.8')
def testConstants(self):
self.assertEqual(NSHashTableWeakMemory, NSPointerFunctionsWeakMemory)
@expectedFailure
def testFunctions(self):
self.fail("NSHasTable functions")
def testMethods(self):
self.assertResultIsBOOL(NSHashTable.contain... | code_fim | hard | {
"lang": "python",
"repo": "GreatFruitOmsk/pyobjc-mirror",
"path": "/pyobjc-framework-Cocoa/PyObjCTest/test_nshashtable.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GreatFruitOmsk/pyobjc-mirror path: /pyobjc-framework-Cocoa/PyObjCTest/test_nshashtable.py
from PyObjCTools.TestSupport import *
from Foundation import *
class TestNSHashTable (TestCase):
def testConvenience(self):
v = NSHashTable.hashTableWithOptions_(NSPointerFunctionsObjectPerson... | code_fim | hard | {
"lang": "python",
"repo": "GreatFruitOmsk/pyobjc-mirror",
"path": "/pyobjc-framework-Cocoa/PyObjCTest/test_nshashtable.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>import voucher_api
import views<|fim_prefix|># repo: jmcevoy1984/Phorest-Voucher-Maker path: /app.py
from flask import Flask
from flask_bootstrap import Bootstrap
from navbar import nav
<|fim_middle|>app = Flask(__name__)
app.debug = True
Bootstrap(app)
nav.init_app(app)
| code_fim | medium | {
"lang": "python",
"repo": "jmcevoy1984/Phorest-Voucher-Maker",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmcevoy1984/Phorest-Voucher-Maker path: /app.py
from flask import Flask
from flask_bootstrap import Bootstrap
from navbar import nav
<|fim_suffix|>import voucher_api
import views<|fim_middle|>app = Flask(__name__)
app.debug = True
Bootstrap(app)
nav.init_app(app)
| code_fim | medium | {
"lang": "python",
"repo": "jmcevoy1984/Phorest-Voucher-Maker",
"path": "/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
def __setitem__(self, key, value):
key = str(key)
if key in self.__dict__.keys():
raise self.ConstError, "Can't rebind const (%s)" % key
self.__dict__[key] = value
def __getitem__(self, item):
return self.__dict__[str(item)]
def get(s... | code_fim | hard | {
"lang": "python",
"repo": "BongOST/FindOST",
"path": "/findost/foundation/parseConfig.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> load_authority_config()
load_conf('all')
def load_authority_config():
"""
解析authority.conf文件
"""
BASE_DIR = os.path.dirname(__file__)
# 解析authority.conf
authorityConfig = _AuthorityConfig()
config_path_authority = os.path.abspath(os.path.join(BASE_DIR, os.pardir, 'con... | code_fim | hard | {
"lang": "python",
"repo": "BongOST/FindOST",
"path": "/findost/foundation/parseConfig.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BongOST/FindOST path: /findost/foundation/parseConfig.py
#!/usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = 'LexusLee'
import os
import ConfigParser
from foundation import const
Loaded_Section_Or_File = []
class EnvironmentError(Exception):
def __init__(self, conf_file, message):
... | code_fim | hard | {
"lang": "python",
"repo": "BongOST/FindOST",
"path": "/findost/foundation/parseConfig.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cuihaoleo/exercises path: /Schoolworks/NetworkProtocol_IP6Chat/chat_worker.py
import select
import logging
import ipaddress
import threading
import struct
import re
import hashlib
import socket
import sys
import queue
import time
import base64
import os
import itertools
from socket import AF_INE... | code_fim | hard | {
"lang": "python",
"repo": "cuihaoleo/exercises",
"path": "/Schoolworks/NetworkProtocol_IP6Chat/chat_worker.py",
"mode": "psm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_suffix|> def send_who(self, host):
self.__send("WHO", host)
def send_msg(self, nick, message):
if nick in self.nick2host:
host = self.nick2host[nick]
self.__send("MSG %s" % message, host)
return True
else:
self.bcast_where(nick)
... | code_fim | hard | {
"lang": "python",
"repo": "cuihaoleo/exercises",
"path": "/Schoolworks/NetworkProtocol_IP6Chat/chat_worker.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: beringresearch/ivis path: /tests/integration/test_neighbour_matrix.py
from sklearn import datasets
import numpy as np
from ivis import Ivis
def test_custom_ndarray_neighbour_matrix():
iris = datasets.load_iris()
x = iris.data
y = iris.target
<|fim_suffix|> ivis_iris = Ivis(epoch... | code_fim | medium | {
"lang": "python",
"repo": "beringresearch/ivis",
"path": "/tests/integration/test_neighbour_matrix.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ivis_iris = Ivis(epochs=5, neighbour_matrix=neighbour_matrix)
ivis_iris.k = 15
ivis_iris.batch_size = 16
y_pred_iris = ivis_iris.fit_transform(x)<|fim_prefix|># repo: beringresearch/ivis path: /tests/integration/test_neighbour_matrix.py
from sklearn import datasets
import numpy as np
fro... | code_fim | hard | {
"lang": "python",
"repo": "beringresearch/ivis",
"path": "/tests/integration/test_neighbour_matrix.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> class_indicies = {label: np.argwhere(y == label).ravel() for label in np.unique(y)}
neighbour_matrix = np.array([class_indicies[label] for label in y])
ivis_iris = Ivis(epochs=5, neighbour_matrix=neighbour_matrix)
ivis_iris.k = 15
ivis_iris.batch_size = 16
y_pred_iris = ivis_iris... | code_fim | medium | {
"lang": "python",
"repo": "beringresearch/ivis",
"path": "/tests/integration/test_neighbour_matrix.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
ordering = ('-created_on',)
def __init__(self, *args, **kwargs):
# kwargs['created_by'] = 'admin'
# kwargs['amended_by'] = 'admin'
# import pdb
# pdb.set_trace()
super(Task, self).__init__(*args, **kwargs)
def __unicode__(self):
... | code_fim | hard | {
"lang": "python",
"repo": "webbyfox/tasklist",
"path": "/tasklist/tasks/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: webbyfox/tasklist path: /tasklist/tasks/models.py
from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
def get_user():
# current_user = auth.username
return User.get_username()
status_list = (
('N', 'UNDONE'),
('Y', '... | code_fim | hard | {
"lang": "python",
"repo": "webbyfox/tasklist",
"path": "/tasklist/tasks/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: willnx/vlab_esrs path: /tests/test_esrs_view.py
# -*- coding: UTF-8 -*-
"""
A suite of tests for the ESRSView object
"""
import unittest
from unittest.mock import patch, MagicMock
import ujson
from flask import Flask
from vlab_api_common import flask_common
from vlab_api_common.http_auth import ... | code_fim | hard | {
"lang": "python",
"repo": "willnx/vlab_esrs",
"path": "/tests/test_esrs_view.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> task_id = resp.headers['Link']
expected = '<https://localhost/api/2/inf/esrs/task/asdf-asdf-asdf>; rel=status'
self.assertEqual(task_id, expected)
def test_get_image_task(self):
"""ESRSView - GET on /api/2/inf/esrs/image returns a task-id"""
resp = self.app.ge... | code_fim | hard | {
"lang": "python",
"repo": "willnx/vlab_esrs",
"path": "/tests/test_esrs_view.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = []
tree = build_trie(patterns)
for s in range(len(text)):
currentnode = tree[0]
symbol = text[s]
counter = s
while True:
if "$" in currentnode:
result.append(s)
break
elif symbol in currentnode and counter != len(text):
currentnode = tree[currentnode[symbol]]
if c... | code_fim | medium | {
"lang": "python",
"repo": "roctubre/data-structures-algorithms",
"path": "/algorithms_on_strings/1.3_trie_matching_extended.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: roctubre/data-structures-algorithms path: /algorithms_on_strings/1.3_trie_matching_extended.py
# python3
import sys
def build_trie(patterns):
tree = dict()
tree[0] = dict()
nodecount = 1
for p in patterns:
p = p + "$"
currentNode = tree[0]
for i in range(l... | code_fim | hard | {
"lang": "python",
"repo": "roctubre/data-structures-algorithms",
"path": "/algorithms_on_strings/1.3_trie_matching_extended.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __call__(self, query):
values = self.params
values[self.query] = query
data = urllib.urlencode(values)
url = '{}?{}'.format(self.action, data)
return addScore(parse(fetch(url)), query)<|fim_prefix|># repo: ktnyt/autosearch path: /autosearch/form.py
import u... | code_fim | hard | {
"lang": "python",
"repo": "ktnyt/autosearch",
"path": "/autosearch/form.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ktnyt/autosearch path: /autosearch/form.py
import urllib
import urllib2
from autosearch.utils import *
class Form(object):
def __init__(self, form):
self.query = ''
self.action = form['action']
self.params = {}
for input in form.find_all('input'):
... | code_fim | hard | {
"lang": "python",
"repo": "ktnyt/autosearch",
"path": "/autosearch/form.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CryptoGodfatherVA4/arbot path: /httputil.py
import requests
import decimal
import json
import logging
<|fim_suffix|> r = requests.get(opts['url'], headers=opts['headers'],
params=opts['params'], timeout=30)
if r.status_code != 200:
logging.warning(opts['url'] + " returned status " + str(... | code_fim | medium | {
"lang": "python",
"repo": "CryptoGodfatherVA4/arbot",
"path": "/httputil.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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