text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: walkccc/LeetCode path: /solutions/1154. Day of the Year/1154.py
class Solution:
def dayOfYear(self, date: str) -> int:
<|fim_suffix|> year = int(date[:4])
month = int(date[5:7])
day = int(date[8:])
days = [31, 29 if isLeapYear(
year) else 28, 31, 30, 31, 30, 31, 31, 30, 3... | code_fim | medium | {
"lang": "python",
"repo": "walkccc/LeetCode",
"path": "/solutions/1154. Day of the Year/1154.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return sum(days[:month - 1]) + day<|fim_prefix|># repo: walkccc/LeetCode path: /solutions/1154. Day of the Year/1154.py
class Solution:
def dayOfYear(self, date: str) -> int:
<|fim_middle|> def isLeapYear(year: int) -> bool:
return (year % 4 == 0 and year % 100 != 0) or year % 400 == 0
... | code_fim | hard | {
"lang": "python",
"repo": "walkccc/LeetCode",
"path": "/solutions/1154. Day of the Year/1154.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmccloskey/SBaaS_MFA path: /template_scripts/template_analyzeFittedNetFluxDifferences.py
import sys
sys.path.append('C:/Users/dmccloskey-sbrg/Google Drive/SBaaS_base')
from SBaaS_base.postgresql_settings import postgresql_settings
from SBaaS_base.postgresql_orm import postgresql_orm
# read in th... | code_fim | hard | {
"lang": "python",
"repo": "dmccloskey/SBaaS_MFA",
"path": "/template_scripts/template_analyzeFittedNetFluxDifferences.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>analysis_ids = [
'ALEsKOs01_0_11_evo04tpiA',
'ALEsKOs01_150526_iDM2015_full05_OxicEvo04tpiAEcoli13CGlc_0',
'ALEsKOs01_150526_iDM2015_full05_OxicEvo04tpiAEvo01EPEcoli13CGlc_11',
'ALEsKOs01_150526_iDM2015_full05_OxicEvo04tpiAEvo02EPEcoli13CGlc_11',
'ALEsKOs01_150526_iDM2015_full05_OxicEv... | code_fim | hard | {
"lang": "python",
"repo": "dmccloskey/SBaaS_MFA",
"path": "/template_scripts/template_analyzeFittedNetFluxDifferences.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> theta = np.deg2rad(theta)
direction = "/gps/direction {} 0 {}\n".format(np.sin(theta), -np.cos(theta))
radius = 0.15
position = "/gps/position {} 0. {} m\n".format(radius*np.sin(theta), radius*np.cos(theta))
number = "/run/beamOn {}\n".format(number)
return particle+energy+direct... | code_fim | hard | {
"lang": "python",
"repo": "Zelenyy/phd-code",
"path": "/python/data_saving/satellite_client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Zelenyy/phd-code path: /python/data_saving/satellite_client.py
import logging
import numpy as np
import matplotlib.pyplot as plt
from phd.satellite.geant4_server import Geant4Server, DetectorMode
<|fim_suffix|>def main():
logging.root.setLevel(logging.INFO)
with Geant4Server(["./build/s... | code_fim | hard | {
"lang": "python",
"repo": "Zelenyy/phd-code",
"path": "/python/data_saving/satellite_client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
logging.root.setLevel(logging.INFO)
with Geant4Server(["./build/satellite/geant4-satellite.exe server"]) as server:
server.start(DetectorMode.SUM)
for energy in [30, 40, 50, 100]:
text = get_request(energy, number=100)
run = server.send(text)
... | code_fim | hard | {
"lang": "python",
"repo": "Zelenyy/phd-code",
"path": "/python/data_saving/satellite_client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aruba/aoscx-ansible-collection path: /plugins/modules/aoscx_vlan_interface.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
# (C) Copyright 2019-2023 Hewlett Packard Enterprise Development LP.
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __futu... | code_fim | hard | {
"lang": "python",
"repo": "aruba/aoscx-ansible-collection",
"path": "/plugins/modules/aoscx_vlan_interface.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> vlan_id = ansible_module.params["vlan_id"]
admin_state = ansible_module.params["admin_state"]
ipv4 = ansible_module.params["ipv4"]
ipv6 = ansible_module.params["ipv6"]
vrf = ansible_module.params["vrf"]
description = ansible_module.params["description"]
ip_helper_address = ansi... | code_fim | hard | {
"lang": "python",
"repo": "aruba/aoscx-ansible-collection",
"path": "/plugins/modules/aoscx_vlan_interface.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if active_gateway_ip and active_gateway_mac_v4:
modified_op2 = vlan_interface.set_active_gateway(
active_gateway_ip, active_gateway_mac_v4
)
modified_op = modified_op2 or modified_op
if ip_helper_address:
# Create DHCP_Relay ... | code_fim | hard | {
"lang": "python",
"repo": "aruba/aoscx-ansible-collection",
"path": "/plugins/modules/aoscx_vlan_interface.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> skip_if_url_is_not_available(TOPURL, regex='service provider outage')
with chpwd(tmpdir):
if create:
with open("README.txt", 'w') as f:
f.write(" ")
pipe = [
crawl_url(TOPURL),
[
assign({'dataset': dataset}),
... | code_fim | hard | {
"lang": "python",
"repo": "datalad/datalad-crawler",
"path": "/datalad_crawler/pipelines/tests/test_fcptable.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with chpwd(tmpdir):
if create:
with open("README.txt", 'w') as f:
f.write(" ")
pipe = [
crawl_url(TOPURL),
[
assign({'dataset': dataset}),
skip_if({'dataset': 'Cleveland CCF|Durham_Madden|NewYork_Test... | code_fim | hard | {
"lang": "python",
"repo": "datalad/datalad-crawler",
"path": "/datalad_crawler/pipelines/tests/test_fcptable.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: datalad/datalad-crawler path: /datalad_crawler/pipelines/tests/test_fcptable.py
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING... | code_fim | hard | {
"lang": "python",
"repo": "datalad/datalad-crawler",
"path": "/datalad_crawler/pipelines/tests/test_fcptable.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EruDev/eru_manager path: /showdata/models.py
from django.db import models
<|fim_suffix|> verbose_name = 'CPU数据表'
verbose_name_plural = verbose_name<|fim_middle|>class CPUData(models.Model):
data = models.CharField(max_length=128, verbose_name='CPU数据')
time = models.DateTi... | code_fim | medium | {
"lang": "python",
"repo": "EruDev/eru_manager",
"path": "/showdata/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> verbose_name = 'CPU数据表'
verbose_name_plural = verbose_name<|fim_prefix|># repo: EruDev/eru_manager path: /showdata/models.py
from django.db import models
class CPUData(models.Model):
data = models.CharField(max_length=128, verbose_name='CPU数据')
time = models.DateTimeField(verbos... | code_fim | easy | {
"lang": "python",
"repo": "EruDev/eru_manager",
"path": "/showdata/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = models.CharField(max_length=128, verbose_name='CPU数据')
time = models.DateTimeField(verbose_name='监听时间')
class Meta:
verbose_name = 'CPU数据表'
verbose_name_plural = verbose_name<|fim_prefix|># repo: EruDev/eru_manager path: /showdata/models.py
from django.db import models... | code_fim | easy | {
"lang": "python",
"repo": "EruDev/eru_manager",
"path": "/showdata/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bunnyblanco/vendrest path: /vendrest/models/__init__.py
from vendrest.models.transaction import (
Transaction,
Resource
<|fim_suffix|> Product,
ProductCost
)<|fim_middle|> )
from vendrest.models.product import (
| code_fim | easy | {
"lang": "python",
"repo": "bunnyblanco/vendrest",
"path": "/vendrest/models/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Product,
ProductCost
)<|fim_prefix|># repo: bunnyblanco/vendrest path: /vendrest/models/__init__.py
from vendrest.models.transaction import (
<|fim_middle|> Transaction,
Resource
)
from vendrest.models.product import (
| code_fim | medium | {
"lang": "python",
"repo": "bunnyblanco/vendrest",
"path": "/vendrest/models/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danigfavero/ada path: /venv/lib/python3.7/site-packages/environs.py
# -*- coding: utf-8 -*-
import contextlib
import inspect
import functools
import json as pyjson
import os
import re
try:
import urllib.parse as urlparse
except ImportError:
# Python 2
import urlparse
try:
from c... | code_fim | hard | {
"lang": "python",
"repo": "danigfavero/ada",
"path": "/venv/lib/python3.7/site-packages/environs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def decorator(func):
self.add_parser(name, func)
return func
return decorator
def add_parser_from_field(self, name, field_cls):
"""Register a new parser method with name ``name``, given a marshmallow ``Field``."""
self.__parser_map__[name] = _f... | code_fim | hard | {
"lang": "python",
"repo": "danigfavero/ada",
"path": "/venv/lib/python3.7/site-packages/environs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return decorator
def add_parser_from_field(self, name, field_cls):
"""Register a new parser method with name ``name``, given a marshmallow ``Field``."""
self.__parser_map__[name] = _field2method(field_cls, method_name=name)
def dump(self):
"""Dump parsed environme... | code_fim | hard | {
"lang": "python",
"repo": "danigfavero/ada",
"path": "/venv/lib/python3.7/site-packages/environs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: becauseIknowNothing/automate-the-boring-stuff-projects path: /Functions/The Collatz Sequence.py
def collatz(number):
if number%2==0:
return number//2
return 3*number + 1
<|fim_suffix|>print("Input the number.")
myNumber=userInput()
while myNumber !=1:
myNumber=collatz(myNumb... | code_fim | hard | {
"lang": "python",
"repo": "becauseIknowNothing/automate-the-boring-stuff-projects",
"path": "/Functions/The Collatz Sequence.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("Input the number.")
myNumber=userInput()
while myNumber !=1:
myNumber=collatz(myNumber)
print(myNumber)<|fim_prefix|># repo: becauseIknowNothing/automate-the-boring-stuff-projects path: /Functions/The Collatz Sequence.py
def collatz(number):
if number%2==0:
return number//2
... | code_fim | hard | {
"lang": "python",
"repo": "becauseIknowNothing/automate-the-boring-stuff-projects",
"path": "/Functions/The Collatz Sequence.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # bytes_buffer1 = bytes_buffer1 + data[j*8 + 0]
# bytes_buffer1[j*2 + 1] = data[j*8 + 1]
# bytes_buffer1[j*2 + 0] = data[j*8 + 2]
# bytes_buffer1[j*2 + 1] = data[j*8 + 3]
# bytes_buffer1[j*2 + 0] = data[j*8 + 4]
# bytes_buffer1[j*2 + ... | code_fim | hard | {
"lang": "python",
"repo": "JoeyYoung/sound_localization",
"path": "/read_from_mic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JoeyYoung/sound_localization path: /read_from_mic.py
# Sound Source locate
#
# @Time : 2019-11-01 16:36
# @Author : xyzhao
# @File : read_from_mic.py
# @Description: record and split wav files from real microphones
import pyaudio
import wave
import json
import signal
import sys
import os... | code_fim | hard | {
"lang": "python",
"repo": "JoeyYoung/sound_localization",
"path": "/read_from_mic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> wave_file.close()
def sigint_handler(signum, frame):
stream.stop_stream()
stream.close()
p.terminate()
close_files()
print('catched interrupt signal!')
sys.exit(0)
if __name__ == "__main__":
# Register ctrl-c interruption
# signal.signal(signal.SIGINT, sigint_handle... | code_fim | hard | {
"lang": "python",
"repo": "JoeyYoung/sound_localization",
"path": "/read_from_mic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> x = self.pool1(F.relu(self.conv1(x)))
x = nn.Dropout(p=0.3)(x)
x = self.pool2(F.relu(self.conv2(x)))
x = nn.Dropout(p=0.3)(x)
x = self.pool3(F.relu(self.conv3(x)))
x = nn.Dropout(p=0.3)(x)
return x
# will be used during inference
def forwar... | code_fim | hard | {
"lang": "python",
"repo": "alyildiz/facial_landmark",
"path": "/modeling/src/models/basic_cnn/pl_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alyildiz/facial_landmark path: /modeling/src/models/basic_cnn/pl_model.py
import pytorch_lightning as pl
import torch
from torch import nn
from torch.nn import functional as F
class BasicCNNModel(pl.LightningModule):
def __init__(self, input_shape, learning_rate=0.001):
super().__in... | code_fim | hard | {
"lang": "python",
"repo": "alyildiz/facial_landmark",
"path": "/modeling/src/models/basic_cnn/pl_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def __is_valid_time_symbol(time_symbol) -> bool:
return isinstance(time_symbol, TimeSymbolType) or None<|fim_prefix|># repo: mysliwietzflorian/omr-demo-mt path: /src/model/attribute/time.py
from typing import Optional
from absl import logging
from src.model.enum.time_symbo... | code_fim | hard | {
"lang": "python",
"repo": "mysliwietzflorian/omr-demo-mt",
"path": "/src/model/attribute/time.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.beats = beats
self.beats_type = beats_type
if Time.__is_valid_time_symbol(time_symbol):
self.time_symbol = time_symbol
else:
logging.error("Time-Symbol value \"{}\" is not valid".format(time_symbol))
@staticmethod
def __is_valid_time_s... | code_fim | medium | {
"lang": "python",
"repo": "mysliwietzflorian/omr-demo-mt",
"path": "/src/model/attribute/time.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mysliwietzflorian/omr-demo-mt path: /src/model/attribute/time.py
from typing import Optional
from absl import logging
from src.model.enum.time_symbol_type import TimeSymbolType
class Time(object):
<|fim_suffix|> self.beats = beats
self.beats_type = beats_type
if Time._... | code_fim | medium | {
"lang": "python",
"repo": "mysliwietzflorian/omr-demo-mt",
"path": "/src/model/attribute/time.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nishaq503/CHESS path: /tests/test_manifold.py
import random
import unittest
from tempfile import TemporaryFile
import numpy as np
from scipy.spatial.distance import cdist
from chess import datasets, criterion
from chess.manifold import Manifold, Cluster
np.random.seed(42)
random.seed(42)
cla... | code_fim | hard | {
"lang": "python",
"repo": "nishaq503/CHESS",
"path": "/tests/test_manifold.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_build(self):
m = Manifold(self.data, 'euclidean').build(criterion.MaxDepth(1))
self.assertEqual(2, len(m.graphs))
m.build(criterion.MaxDepth(2))
self.assertEqual(3, len(m.graphs))
m.build()
self.assertEqual(len(self.data), len(m.graphs[-1]))
... | code_fim | hard | {
"lang": "python",
"repo": "nishaq503/CHESS",
"path": "/tests/test_manifold.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
("core", "0042_alter_unitgroup_subject"),
]
operations = [
migrations.AddField(
model_name="unitgroup",
name="artwork_thumb_md",
field=models.ImageField(
blank=True,
help_text="Artwork for thi... | code_fim | hard | {
"lang": "python",
"repo": "vEnhance/otis-web",
"path": "/core/migrations/0043_unitgroup_artwork_thumb_md_and_more.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vEnhance/otis-web path: /core/migrations/0043_unitgroup_artwork_thumb_md_and_more.py
# Generated by Django 4.1.4 on 2022-12-30 18:59
from django.db import migrations, models
import core.models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.AddField(... | code_fim | hard | {
"lang": "python",
"repo": "vEnhance/otis-web",
"path": "/core/migrations/0043_unitgroup_artwork_thumb_md_and_more.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name="unitgroup",
name="artwork_thumb_md",
field=models.ImageField(
blank=True,
help_text="Artwork for this unit",
null=True,
upload_to=core.models.artw... | code_fim | hard | {
"lang": "python",
"repo": "vEnhance/otis-web",
"path": "/core/migrations/0043_unitgroup_artwork_thumb_md_and_more.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> plazaCenter = (radii[ring] + HALF_STREET_WIDTH, 0)
plazaCenter = rotatePoint(radialRadians(radial), plazaCenter)
angle /= 2.0
radialAngle = radialDegrees(radial)
angle1 = radialAngle + angle
angle2 = radialAngle - angle
rings = xrange(toRing, ring + 1) if toRing < ring else xrange(ring + 1, toRin... | code_fim | hard | {
"lang": "python",
"repo": "nightjuggler/brc",
"path": "/gensvg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nightjuggler/brc path: /gensvg.py
#!/usr/bin/python
import math
BLOCK_WIDTH = 200
HALF_STREET_WIDTH = 20
STREET_WIDTH = 2 * HALF_STREET_WIDTH
MAN_TO_ESPLANADE = 2500 # Distance from the center of the Man to the center of Esplanade
ESPLANADE_TO_A = 400 # Width of the block from Esplanade to A... | code_fim | hard | {
"lang": "python",
"repo": "nightjuggler/brc",
"path": "/gensvg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bglima/mlclass path: /04_Reinforcement/montecarlo.py
'''
Created on 21 de mai de 2018
Objetivo: Provar a solução do problema de Monty Hall utilizando Monte Carlo
@authors: Bruno Gabriel Lima
João Paulo Clarindo
Nilson Sales
'''
import random as rand
import matplotlib.pyplot... | code_fim | hard | {
"lang": "python",
"repo": "bglima/mlclass",
"path": "/04_Reinforcement/montecarlo.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fig = plt.figure(figsize=(8, 6))
ax = plt.subplot(111)
for policy in policies:
(success, V_list) = evaluate_policy_dt(policy, n_doors, trials)
print("Política: ", policy, "\nNúmero de tentativas:{}\nAcertos:{}\nPorcentagem:{}\n".format(trials, success, round(V_list[-1],3)))
... | code_fim | hard | {
"lang": "python",
"repo": "bglima/mlclass",
"path": "/04_Reinforcement/montecarlo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = np.load(data_file_path)
data = abs(data) #taking the absolute value
# The valid option implies that the convolution product is only given for
# points where the kernel and the signals overlap completely
data = np.apply_along_axis(np.convolve, 2, data, np.ones((nb_sampl... | code_fim | hard | {
"lang": "python",
"repo": "palvalab/visual-perception",
"path": "/baseline_correction_of_data.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: palvalab/visual-perception path: /baseline_correction_of_data.py
# -*- coding: utf-8 -*-
"""Once all condition arrays are created via 'import_data_to_python.py',
this script takes the absolute real value and performs baseline subtraction
Created on Fri Jun 08 10:58:16 2018
@author: hamed
... | code_fim | medium | {
"lang": "python",
"repo": "palvalab/visual-perception",
"path": "/baseline_correction_of_data.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>for condition in condition_arrays:
data_file_path = data_dir + condition
processed_file_path = data_dir + os.path.splitext(condition)[0] + '_w5_BLcorrected' #filename of processesed file
data = np.load(data_file_path)
data = abs(data) #taking the absolute value
# ... | code_fim | hard | {
"lang": "python",
"repo": "palvalab/visual-perception",
"path": "/baseline_correction_of_data.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # this is stateful, even though it shouldn't be,
# because the comparees are given as args to compare() and not as attributes to __init__()).
self._metrics = []
@staticmethod
def record_key_getter(metadata):
return metadata['name']
def get_metadata_collector(... | code_fim | hard | {
"lang": "python",
"repo": "yocheah/dac-man",
"path": "/dacman/plugins/hdf5/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yocheah/dac-man path: /dacman/plugins/hdf5/__init__.py
np
try:
import h5py as h5
except ImportError:
from dacman.core.utils import dispatch_import_error
dispatch_import_error(module_name='h5py', plugin_name='HDF5')
from dacman.compare import base
from . import metadata
from .util ... | code_fim | hard | {
"lang": "python",
"repo": "yocheah/dac-man",
"path": "/dacman/plugins/hdf5/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # print(f'key_comp={key_comp}')
obj_pair_metrics = self.get_comparison_metrics(key_comp, obj_md_a, obj_md_b)
# print(f'obj_pair_a={obj_pair_metrics.a}')
# print(f'obj_pair_b={obj_pair_metrics.b}')
obj_pair_metrics.calculate()
objs_met... | code_fim | hard | {
"lang": "python",
"repo": "yocheah/dac-man",
"path": "/dacman/plugins/hdf5/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
dir_path: string path to a directory.
err_loc: the location to report if an error occurs. May be None
(default) to report dir_path.
Returns:
string path to the local config file.
Raises:
ConfigError: if a config file could not be foun... | code_fim | hard | {
"lang": "python",
"repo": "jonsim/tiny-install",
"path": "/install",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jonsim/tiny-install path: /install
#!/usr/bin/env python
# (c) Copyright 2017 Jonathan Simmonds
#
# Licensed under the MIT License
#
# 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 ... | code_fim | hard | {
"lang": "python",
"repo": "jonsim/tiny-install",
"path": "/install",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_config_from_local_dir(dir_path, err_loc=None):
"""Retrieves a path to the config file from a local directory.
Args:
dir_path: string path to a directory.
err_loc: the location to report if an error occurs. May be None
(default) to report dir_path.
Ret... | code_fim | hard | {
"lang": "python",
"repo": "jonsim/tiny-install",
"path": "/install",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> productDetails = marketplace.describe_entity(EntityId=productId,Catalog='AWSMarketplace')
logging.debug('describe_entity={}'.format(productDetails))
entityId = productDetails['EntityIdentifier']
revisionArns = finalizeresponse['Arn']
arnParts = finalizeresponse... | code_fim | hard | {
"lang": "python",
"repo": "masinazarian/aws-data-exchange-publisher-coordinator",
"path": "/source/FinalizeAndUpdateCatalogFunction/app.py",
"mode": "spm",
"license": "MIT-0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def lambda_handler(event, context):
try:
global log_level
log_level = str(os.environ.get('LOG_LEVEL')).upper()
if log_level not in [
'DEBUG', 'INFO',
'WARNING', 'ERROR',
'CRIT... | code_fim | medium | {
"lang": "python",
"repo": "masinazarian/aws-data-exchange-publisher-coordinator",
"path": "/source/FinalizeAndUpdateCatalogFunction/app.py",
"mode": "spm",
"license": "MIT-0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: masinazarian/aws-data-exchange-publisher-coordinator path: /source/FinalizeAndUpdateCatalogFunction/app.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
##############################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserve... | code_fim | hard | {
"lang": "python",
"repo": "masinazarian/aws-data-exchange-publisher-coordinator",
"path": "/source/FinalizeAndUpdateCatalogFunction/app.py",
"mode": "psm",
"license": "MIT-0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Ask each model to make a prediction and then update it
oof = {}
for i, classifier in enumerate(self):
oof[f'oof_{i}'] = classifier.predict_proba_one(x).get(True, 0.5)
classifier.fit_one(x, y)
# Optionally, add the base features
if self.inc... | code_fim | hard | {
"lang": "python",
"repo": "lffranca/creme",
"path": "/creme/ensemble/stacking.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lffranca/creme path: /creme/ensemble/stacking.py
import typing
from creme import base
__all__ = ['StackingBinaryClassifier']
class StackingBinaryClassifier(base.Ensemble, base.BinaryClassifier):
"""Stacking for binary classification.
Parameters:
classifiers
meta_clas... | code_fim | hard | {
"lang": "python",
"repo": "lffranca/creme",
"path": "/creme/ensemble/stacking.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self
def predict_proba_one(self, x):
oof = {
f'oof_{i}': classifier.predict_proba_one(x).get(True, 0.5)
for i, classifier in enumerate(self)
}
if self.include_features:
oof.update(x)
return self.meta_classifier.pred... | code_fim | hard | {
"lang": "python",
"repo": "lffranca/creme",
"path": "/creme/ensemble/stacking.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>Let's say that we know x is 1 or 0. How would we use it to set the ith bit to x, given that we used AND to clear the bit (set it to 0) but OR to set the bit (set it to 1)?
Here is one approach for what to return (n & (~(1 << i))) | (x << i). What this does is force the ith bit to zero, then ORs it with 0... | code_fim | medium | {
"lang": "python",
"repo": "heitorchang/learn-code",
"path": "/battles/interview/bit_manipulation/insertBits.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heitorchang/learn-code path: /battles/interview/bit_manipulation/insertBits.py
description = """
Given an integer n, replace its bits starting from the bit at position a to the bit at position b, inclusive, with the bits of integer k. Count from the least significant bit to the most significant b... | code_fim | medium | {
"lang": "python",
"repo": "heitorchang/learn-code",
"path": "/battles/interview/bit_manipulation/insertBits.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> lenN = n.bit_length()
lenK = k.bit_length()
leftMask = ((1 << lenN) - 1) ^ ((1 << (b+1)) - 1)
# print(bin(n))
# print(bin(leftMask))
rightSide = ((1 << a) - 1) & n
# print(bin(rightSide))
kInPlace = k << a
# print(bin(kInPlace))
return (n & leftMask) | kInPlace ... | code_fim | hard | {
"lang": "python",
"repo": "heitorchang/learn-code",
"path": "/battles/interview/bit_manipulation/insertBits.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FormantIO/formant path: /examples/python/grpc_api/protos/model/v1/file_pb2.py
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: protos/model/v1/file.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from go... | code_fim | hard | {
"lang": "python",
"repo": "FormantIO/formant",
"path": "/examples/python/grpc_api/protos/model/v1/file_pb2.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>_FILE.oneofs_by_name['data'].fields.append(
_FILE.fields_by_name['url'])
_FILE.fields_by_name['url'].containing_oneof = _FILE.oneofs_by_name['data']
_FILE.oneofs_by_name['data'].fields.append(
_FILE.fields_by_name['raw'])
_FILE.fields_by_name['raw'].containing_oneof = _FILE.oneofs_by_name['data']
DESC... | code_fim | hard | {
"lang": "python",
"repo": "FormantIO/formant",
"path": "/examples/python/grpc_api/protos/model/v1/file_pb2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> db_table = "skiresorts"
def __str__(self):
return self.name<|fim_prefix|># repo: RitzAnthony/Ski_GeoDjango path: /geoweb/skiresorts/models.py
from django.contrib.gis.db import models
class Skiresort(models.Model):
<|fim_middle|> name = models.CharField(max_length=200)
geom =... | code_fim | medium | {
"lang": "python",
"repo": "RitzAnthony/Ski_GeoDjango",
"path": "/geoweb/skiresorts/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RitzAnthony/Ski_GeoDjango path: /geoweb/skiresorts/models.py
from django.contrib.gis.db import models
class Skiresort(models.Model):
<|fim_suffix|> db_table = "skiresorts"
def __str__(self):
return self.name<|fim_middle|> name = models.CharField(max_length=200)
geom =... | code_fim | medium | {
"lang": "python",
"repo": "RitzAnthony/Ski_GeoDjango",
"path": "/geoweb/skiresorts/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __str__(self):
return self.name<|fim_prefix|># repo: RitzAnthony/Ski_GeoDjango path: /geoweb/skiresorts/models.py
from django.contrib.gis.db import models
class Skiresort(models.Model):
name = models.CharField(max_length=200)
geom = models.MultiPolygonField(srid=21781, null=True... | code_fim | easy | {
"lang": "python",
"repo": "RitzAnthony/Ski_GeoDjango",
"path": "/geoweb/skiresorts/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> source = '/users2/Datasets/PASCAL_VOC/VOCdevkit/VOC2012_Resize/source.txt'
root_old = '/users2/Datasets/PASCAL_VOC/VOCdevkit/VOC2012'
root_new = '/users2/Datasets/PASCAL_VOC/VOCdevkit/VOC2012_Resize'
out_shape = 416
with open(source, 'r') as src:
lines = src.readlines()
print 'Processing... | code_fim | medium | {
"lang": "python",
"repo": "opencv/opencv_contrib",
"path": "/modules/dnn_objdetect/scripts/pascal_preprocess.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: opencv/opencv_contrib path: /modules/dnn_objdetect/scripts/pascal_preprocess.py
from skimage import io, transform
from multiprocessing.dummy import Pool as ThreadPool
def rescale(root_new, root_old, img_path, ann_path, out_shape):
try:
img = io.imread(root_old+"/"+img_path)
except Except... | code_fim | medium | {
"lang": "python",
"repo": "opencv/opencv_contrib",
"path": "/modules/dnn_objdetect/scripts/pascal_preprocess.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> public = True if access.lower()=='open' else False if access.lower()=='controlled' else None
results = AuthorizedDataset.get_datasets(name=name, whitelist_id=id, public=public)
datasets = [
{
'name': x.name,
'dataset_id': x.whitelist_id... | code_fim | hard | {
"lang": "python",
"repo": "isb-cgc/ISB-CGC-API",
"path": "/apiv4/program_views.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: isb-cgc/ISB-CGC-API path: /apiv4/program_views.py
#
# Copyright 2019, Institute for Systems Biology
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www... | code_fim | hard | {
"lang": "python",
"repo": "isb-cgc/ISB-CGC-API",
"path": "/apiv4/program_views.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def load_fixture(apps, schema_editor):
objects = deserialize_fixture()
for obj in objects:
obj.save()
def unload_fixture(apps, schema_editor):
"""Delete all EmailTemplate objects"""
objects = deserialize_fixture()
EmailTemplate = apps.get_model("helpdesk", "emailtemplate"... | code_fim | hard | {
"lang": "python",
"repo": "django-helpdesk/django-helpdesk",
"path": "/helpdesk/migrations/0003_initial_data_import.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: django-helpdesk/django-helpdesk path: /helpdesk/migrations/0003_initial_data_import.py
# -*- coding: utf-8 -*-
import os
from sys import path
from django.db import models, migrations
from django.core import serializers
fixture_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '../fi... | code_fim | hard | {
"lang": "python",
"repo": "django-helpdesk/django-helpdesk",
"path": "/helpdesk/migrations/0003_initial_data_import.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def deserialize_fixture():
fixture_file = os.path.join(fixture_dir, fixture_filename)
with open(fixture_file, 'rb') as fixture:
return list(serializers.deserialize('json', fixture, ignorenonexistent=True))
def load_fixture(apps, schema_editor):
objects = deserialize_fixture()
f... | code_fim | medium | {
"lang": "python",
"repo": "django-helpdesk/django-helpdesk",
"path": "/helpdesk/migrations/0003_initial_data_import.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HawkingLaugh/Data-Processing-Using-Python path: /Week4/31. statistics_analysis.py
#%%
from sklearn import datasets
import pandas as pd
import matplotlib.pyplot as plt
# import scipy
iris = datasets.load_iris()
iris_df = pd.DataFrame(iris.data)
iris_df.columns = iris.feature_names
iris_df['target... | code_fim | medium | {
"lang": "python",
"repo": "HawkingLaugh/Data-Processing-Using-Python",
"path": "/Week4/31. statistics_analysis.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># extract the result of .quantile([0.25,0.75]) to calculate the interquartile range
iris_df.iloc[:,0].quantile([0.75]).loc[0.75] - iris_df.iloc[:,0].quantile([0.25]).loc[0.25]
# cal from .describe()
iris_df.iloc[:,0].describe().loc['75%'] - iris_df.iloc[:,0].describe().loc['25%']
# %%<|fim_prefix|># r... | code_fim | hard | {
"lang": "python",
"repo": "HawkingLaugh/Data-Processing-Using-Python",
"path": "/Week4/31. statistics_analysis.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: psfed0r0v/dl-osu-beat-generator path: /main.py
import torch
from torch import nn
from torch.utils.data import DataLoader
import wandb
from config import get_params
from dataset import DatasetNorm
from utils.read_data import parse_data
from utils import make_dataset
from utils.utils impo... | code_fim | hard | {
"lang": "python",
"repo": "psfed0r0v/dl-osu-beat-generator",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> iters = 0
loss = 0.0
cr_loss = nn.BCELoss()
for i, data in enumerate(testloader, 0):
tcnn.eval()
mels, labels = data[0].to(device), data[1].to(device)
pred = model(mels.unsqueeze(-1).permute(0, 3, 1, 2)).to('cpu').detach()
res = accuracy(pred, labels)... | code_fim | hard | {
"lang": "python",
"repo": "psfed0r0v/dl-osu-beat-generator",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: publicReposOrg/safir_monitor_dashboard path: /monitor_dashboard/api/monasca.py
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LIC... | code_fim | medium | {
"lang": "python",
"repo": "publicReposOrg/safir_monitor_dashboard",
"path": "/monitor_dashboard/api/monasca.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_measures(request, metric_name, dimensions, start=None, end=None):
measures = monascaclient(request).metrics.list_measurements(
name=metric_name,
dimensions=dimensions,
start_time=start,
end_time=end)
return measures<|fim_prefi... | code_fim | hard | {
"lang": "python",
"repo": "publicReposOrg/safir_monitor_dashboard",
"path": "/monitor_dashboard/api/monasca.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_resources(request):
resources = monascaclient(request).metrics.list_dimension_values(
dimension_name='resource_id')
return resources
def get_measures(request, metric_name, dimensions, start=None, end=None):
measures = monascaclient(request).metrics.list_measurements(
... | code_fim | hard | {
"lang": "python",
"repo": "publicReposOrg/safir_monitor_dashboard",
"path": "/monitor_dashboard/api/monasca.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: veneres/EyeCloud path: /server/app/__init__.py
''' flask app with mongo '''
import os
import json
import datetime
from bson.objectid import ObjectId
from flask import Flask
from flask_pymongo import PyMongo
class JSONEncoder(json.JSONEncoder):
''' extend json-encoder class'''
def defau... | code_fim | medium | {
"lang": "python",
"repo": "veneres/EyeCloud",
"path": "/server/app/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># add mongo url to flask config, so that flask_pymongo can use it to make connection
app.config['MONGO_URI'] = os.environ.get('DB')
mongo = PyMongo(app)
# use the modified encoder class to handle ObjectId & datetime object while jsonifying the response.
app.json_encoder = JSONEncoder
from app.controller... | code_fim | hard | {
"lang": "python",
"repo": "veneres/EyeCloud",
"path": "/server/app/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># use the modified encoder class to handle ObjectId & datetime object while jsonifying the response.
app.json_encoder = JSONEncoder
from app.controllers import *<|fim_prefix|># repo: veneres/EyeCloud path: /server/app/__init__.py
''' flask app with mongo '''
import os
import json
import datetime
from bs... | code_fim | hard | {
"lang": "python",
"repo": "veneres/EyeCloud",
"path": "/server/app/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def mpupload(f, bucketName, keyName, conn=None, verbose=False, acl='public-read', logger=None):
n1 = dt.datetime.now()
bkt = findBucket(conn, bucketName)
if not bkt:
raise("No such bucket %s" % bucketName)
mp = bkt.initiate_multipart_upload(keyName)
if verbose:
print mp... | code_fim | hard | {
"lang": "python",
"repo": "pmnyc/Data_Engineering_Collections",
"path": "/preparing_data_sets_and_delivery_tools/python/dig/pymod/botoutil.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pmnyc/Data_Engineering_Collections path: /preparing_data_sets_and_delivery_tools/python/dig/pymod/botoutil.py
#!/usr/bin/python
# Filename: botoutil.py
'''
botoutil
@author: Andrew Philpot
@version 0.2
collection of boto utils
Usage: python botoutil.py
Options:
\t-h, --help:\tprint help to STDO... | code_fim | hard | {
"lang": "python",
"repo": "pmnyc/Data_Engineering_Collections",
"path": "/preparing_data_sets_and_delivery_tools/python/dig/pymod/botoutil.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
device_dicts: dictionaries from system_profiler to convert to a
generic form.
converted_dicts: converted dictionaries will be stored here.
port_mapping: mapping from USB device number (str) to Cambrionix
port number (int).
parent_device_dict: dictionary of p... | code_fim | hard | {
"lang": "python",
"repo": "isabella232/gazoo-device",
"path": "/gazoo_device/utility/usb_info_mac.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: isabella232/gazoo-device path: /gazoo_device/utility/usb_info_mac.py
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apa... | code_fim | hard | {
"lang": "python",
"repo": "isabella232/gazoo-device",
"path": "/gazoo_device/utility/usb_info_mac.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
str: Cambrionix port number in port_map dict format.
Examples:
Device: Location ID:
Cambrionix = 0x146 <--- length = 5
Child Cambrionix Hub = 0x1464 <--- length = 6
^--- location_id[5]... | code_fim | hard | {
"lang": "python",
"repo": "isabella232/gazoo-device",
"path": "/gazoo_device/utility/usb_info_mac.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class SingleView(TemplateView):
"""
Display a single post
"""
template_name = 'single.html'
def get_context_data(self, slug):
context = super(SingleView, self).get_context_data()
context['object'] = get_object_or_404(Post, slug=slug)
return context
@csrf_e... | code_fim | hard | {
"lang": "python",
"repo": "codasus/django-blogages",
"path": "/blogages/apps/blogages_core/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_queryset(self):
"""
Filter comments from specific post
"""
post_pk = self.get_post().pk
queryset = super(CommentListView, self).get_queryset()
return queryset.filter(object_pk=post_pk)
def _get_create_url(self):
kwargs = {'post_pk':... | code_fim | hard | {
"lang": "python",
"repo": "codasus/django-blogages",
"path": "/blogages/apps/blogages_core/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: codasus/django-blogages path: /blogages/apps/blogages_core/views.py
from django.core.urlresolvers import reverse
from django.shortcuts import get_object_or_404, render_to_response
from django.utils.functional import memoize
from django.views.decorators.csrf import csrf_exempt
from django.views.ge... | code_fim | hard | {
"lang": "python",
"repo": "codasus/django-blogages",
"path": "/blogages/apps/blogages_core/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 18191171661/AutoEncoder-tensorflow1.01 path: /Autoencoder/Main.py
from CLASS.AGN_Autoencoder import *
from CLASS.MNA_Autoencoder import *
from CLASS.VAE_Autoencoder import *
def main(name = None):
<|fim_suffix|>if __name__ == '__main__':
main('AGN')
#main('MNA')
#main('VAE')<|fim_mid... | code_fim | hard | {
"lang": "python",
"repo": "18191171661/AutoEncoder-tensorflow1.01",
"path": "/Autoencoder/Main.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
main('AGN')
#main('MNA')
#main('VAE')<|fim_prefix|># repo: 18191171661/AutoEncoder-tensorflow1.01 path: /Autoencoder/Main.py
from CLASS.AGN_Autoencoder import *
from CLASS.MNA_Autoencoder import *
from CLASS.VAE_Autoencoder import *
<|fim_middle|>def main(name = No... | code_fim | hard | {
"lang": "python",
"repo": "18191171661/AutoEncoder-tensorflow1.01",
"path": "/Autoencoder/Main.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: staffanm/protokollen path: /modules/ooxml.py
#coding=utf-8
"""This module includes tools for handling and extracting text from
Office Open XML and modern Mocrosoft Word (.docx) files.
"""
<|fim_suffix|> """Returns all text content from the document as plain text.
"""
docu... | code_fim | hard | {
"lang": "python",
"repo": "staffanm/protokollen",
"path": "/modules/ooxml.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Returns all text content from the document as plain text.
"""
document = opendocx(self.path)
paratextlist = getdocumenttext(document)
self.text = "\n".join(paratextlist)
return self.text
if __name__ == "__main__":
print "This module is only intended to be ... | code_fim | hard | {
"lang": "python",
"repo": "staffanm/protokollen",
"path": "/modules/ooxml.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from docx import opendocx, getdocumenttext #good for text, bad for metadata
import openxmllib #good for metadata, bad for text
from modules.metadata import Metadata
class DocxExtractor(ExtractorBase):
"""Class for getting plain text from a Office Open XML file.
"""
def get_metadata(self):
... | code_fim | medium | {
"lang": "python",
"repo": "staffanm/protokollen",
"path": "/modules/ooxml.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Lists the commands available in the given plugin. If no plugin is
given, lists the public plugins available. If --private is given,
lists the private plugins.
"""
private = False
for (option, argument) in optlist:
if option == 'private':
... | code_fim | hard | {
"lang": "python",
"repo": "kblin/supybot-gsoc",
"path": "/plugins/Misc/plugin.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kblin/supybot-gsoc path: /plugins/Misc/plugin.py
, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIAB... | code_fim | hard | {
"lang": "python",
"repo": "kblin/supybot-gsoc",
"path": "/plugins/Misc/plugin.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kblin/supybot-gsoc path: /plugins/Misc/plugin.py
claimer.
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions, and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the... | code_fim | hard | {
"lang": "python",
"repo": "kblin/supybot-gsoc",
"path": "/plugins/Misc/plugin.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NullspaceSF/DSSGAN path: /Input/Input.py
ad_num: Number of thread
:param max_threads: Total number of threads
'''
print("Started input thread")
input_frames = input_ph[0].get_shape().as_list()[1]
output_frames = input_ph[1].get_shape().as_list()[1]
padding = (input_frame... | code_fim | hard | {
"lang": "python",
"repo": "NullspaceSF/DSSGAN",
"path": "/Input/Input.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if duration is not None:
num_frames = int(duration * float(audio_sr))
pad_frames = int(padding_duration * float(audio_sr))
pad_front_frames = 0
pad_back_frames = 0
if offset is None: # In this case, select random section of audio file
asser... | code_fim | hard | {
"lang": "python",
"repo": "NullspaceSF/DSSGAN",
"path": "/Input/Input.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NullspaceSF/DSSGAN path: /Input/Input.py
rums, float):
drum_mag = np.zeros(mix_mag.shape, np.float32)
else:
drum_mag, _ = audioFileToSpectrogram(drums.path, fftWindowSize=model_config["num_fft"], \
hopSize=model_config["num_h... | code_fim | hard | {
"lang": "python",
"repo": "NullspaceSF/DSSGAN",
"path": "/Input/Input.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def dictify(rows, keys):
'''
given a list of rows from the db, return a list of dicts in the same order
representing the same information keyed by the key names found in the tuple <keys>
'''
dicts = []
for i in range(len(rows)):
d = {}
for j in range(len(keys)):
d[keys[j]] = ro... | code_fim | hard | {
"lang": "python",
"repo": "mhidas/AutoQC",
"path": "/util/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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