text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> def get_context_data(self, **kwargs):
# Call the base implementation first to get a context
context = super().get_context_data(**kwargs)
context['available'] = self.request.user.userprofile.get_verified_phone_number()
context['enabled'] = SMSBackend().is_enabled(self.r... | code_fim | hard | {
"lang": "python",
"repo": "thinkwelltwd/vmi",
"path": "/apps/accounts/mfa_views.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thinkwelltwd/vmi path: /apps/accounts/mfa_views.py
from django.views.generic import TemplateView
from django.views.generic.base import View
from django.contrib.auth.mixins import LoginRequiredMixin
from apps.mfa.backends.sms.backend import SMSBackend
from apps.mfa.backends.sms.models import SMSDe... | code_fim | hard | {
"lang": "python",
"repo": "thinkwelltwd/vmi",
"path": "/apps/accounts/mfa_views.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> context['available'] = self.request.user.userprofile.get_verified_phone_number()
context['enabled'] = SMSBackend().is_enabled(self.request.user)
return context<|fim_prefix|># repo: thinkwelltwd/vmi path: /apps/accounts/mfa_views.py
from django.views.generic import TemplateView
fro... | code_fim | hard | {
"lang": "python",
"repo": "thinkwelltwd/vmi",
"path": "/apps/accounts/mfa_views.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: misty0729/shopee path: /experiment_runner.py
import subprocess
import random
from train_utils import *
import inspect
def draw_hypers():
class CONF(ConfigClass):
<|fim_suffix|>
for exp_id in range(100, 200):
hypers = draw_hypers()
print(hypers)
print('============= exp', exp... | code_fim | hard | {
"lang": "python",
"repo": "misty0729/shopee",
"path": "/experiment_runner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
for exp_id in range(100, 200):
hypers = draw_hypers()
print(hypers)
print('============= exp', exp_id, '\n', flush=True)
com = ['python', '-W', 'ignore', 'train_bert.py', f'--experiment_id={exp_id}']
for name,value in hypers.items():
com.append(f'--{name}={value}')
#c... | code_fim | hard | {
"lang": "python",
"repo": "misty0729/shopee",
"path": "/experiment_runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> com = ['python', '-W', 'ignore', 'train_bert.py', f'--experiment_id={exp_id}']
for name,value in hypers.items():
com.append(f'--{name}={value}')
#com.append('--run_without_valid')
subprocess.run(com)<|fim_prefix|># repo: misty0729/shopee path: /experiment_runner.py
import subproc... | code_fim | medium | {
"lang": "python",
"repo": "misty0729/shopee",
"path": "/experiment_runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PzanettiD/oeis path: /A000040/A000040.py
#The prime numbers.
#https://oeis.org/A000040
# Using the Sieve of Eratosthenes
<|fim_suffix|> A = [True] * (n*n)
A[0] = False
A[1] = False
for i in range(2, n):
if A[i] == True:
for j in range(i*i, n, i):
... | code_fim | medium | {
"lang": "python",
"repo": "PzanettiD/oeis",
"path": "/A000040/A000040.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for p in range(0, n):
if A[p] == True:
print(p, end=" ")
print()
#Prints the primes amongst the first 100 natural numbers
Sieve_of_Eratosthenes(100)<|fim_prefix|># repo: PzanettiD/oeis path: /A000040/A000040.py
#The prime numbers.
#https://oeis.org/A000040
# Using th... | code_fim | hard | {
"lang": "python",
"repo": "PzanettiD/oeis",
"path": "/A000040/A000040.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Prints the primes amongst the first 100 natural numbers
Sieve_of_Eratosthenes(100)<|fim_prefix|># repo: PzanettiD/oeis path: /A000040/A000040.py
#The prime numbers.
#https://oeis.org/A000040
# Using the Sieve of Eratosthenes
<|fim_middle|># Algorithm that generates and prints list of prime numbers... | code_fim | hard | {
"lang": "python",
"repo": "PzanettiD/oeis",
"path": "/A000040/A000040.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>der # noqa
from .styles import Style # noqa
from .yeasts import Yeast # noqa<|fim_prefix|># repo: weldon0405/brewday path: /brew/__init__.py
# -*- coding: utf-8 -*-
from .grains import Grain # noqa
from .grains import <|fim_middle|>GrainAddition # noqa
from .hops import Hop # noqa
from .hops import... | code_fim | medium | {
"lang": "python",
"repo": "weldon0405/brewday",
"path": "/brew/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: weldon0405/brewday path: /brew/__init__.py
# -*- coding: utf-8 -*-
from .grains import Grain # noqa
from .grains import <|fim_suffix|>on # noqa
from .recipes import Recipe # noqa
from .recipes import RecipeBuilder # noqa
from .styles import Style # noqa
from .yeasts import Yeast # noqa<|fim... | code_fim | medium | {
"lang": "python",
"repo": "weldon0405/brewday",
"path": "/brew/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(chunk) and chunk[-1].is_string():
last_concat = True
else:
if Chunk.multiline or len(chunk) > 0:
last_concat = False<|fim_prefix|># repo: admdev8/flynt path: /src/flynt/lexer/split.py
import io
import tokenize
import traceback
from typing imp... | code_fim | hard | {
"lang": "python",
"repo": "admdev8/flynt",
"path": "/src/flynt/lexer/split.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: admdev8/flynt path: /src/flynt/lexer/split.py
import io
import tokenize
import traceback
from typing import Generator
from flynt import state
from flynt.lexer.Chunk import Chunk
from flynt.lexer.PyToken import PyToken
def get_chunks(code) -> Generator[Chunk, None, None]:
g = tokenize.token... | code_fim | hard | {
"lang": "python",
"repo": "admdev8/flynt",
"path": "/src/flynt/lexer/split.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tool = analyze.get_analyze_tool(extension)
if not tool:
raise
image, parameters = tool(path)
meta.update(parameters)
actual_path_to_content = utils_filesystem.join(settings.BASE_PATH,
meta['path_to_content'])
actual_path_... | code_fim | hard | {
"lang": "python",
"repo": "IgorZyktin/MediaStorageSystem",
"path": "/ad_hoc_scripts/old/mss_register_remote/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> meta['path_to_content'] = utils_filesystem.join('example', sub_path, new_name)
meta['path_to_preview'] = utils_filesystem.join('example', 'previews',
sub_path, new_name)
meta['path_to_thumbnail'] = utils_filesystem.join('example', 'thumbnails... | code_fim | hard | {
"lang": "python",
"repo": "IgorZyktin/MediaStorageSystem",
"path": "/ad_hoc_scripts/old/mss_register_remote/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IgorZyktin/MediaStorageSystem path: /ad_hoc_scripts/old/mss_register_remote/__main__.py
# -*- coding: utf-8 -*-
"""Main file.
"""
import json
import os
import shutil
from typing import Set
from ad_hoc_scripts.common import utils_filesystem
from ad_hoc_scripts.old.mss_register_remote import sett... | code_fim | hard | {
"lang": "python",
"repo": "IgorZyktin/MediaStorageSystem",
"path": "/ad_hoc_scripts/old/mss_register_remote/__main__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
path (str): File path ondisk of the ada protocol buffer object.
Returns:
ada_pb2.Context: A rich python ada context object.
"""
context = ada_pb2.Context()
if not os.path.exists(path):
getLog().error("Missing ada file: {}".format(path))
return
... | code_fim | medium | {
"lang": "python",
"repo": "dveight/ada",
"path": "/src/ada/core/io.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dveight/ada path: /src/ada/core/io.py
import os
import ada_pb2
import graph_pb2
from common import getLog
def write_proto_file(data, directory, name, ext):
"""
Simple write function to be used in all applications to serialise a rich object to binary strings.
Args:
data (pr... | code_fim | medium | {
"lang": "python",
"repo": "dveight/ada",
"path": "/src/ada/core/io.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def mock_gradings_intercepting_same_grade():
# intersects a_3_polygon of same grade
grade_a_2 = _create_grading(StopGrade.A, a_2_polygon, 300)
# intersects a_2_polygon of same grade
grade_a_3 = _create_grading(StopGrade.A, a_3_polygon, 300)
return {
2: [grade_a_2],
3: ... | code_fim | hard | {
"lang": "python",
"repo": "public-transport-quality-grades/oevgk18-generator",
"path": "/tests/output/mock/mock_gradings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>d_8_polygon = [
[
9.509224891662598,
46.852149967540875
],
[
9.506950378417969,
46.85062379326795
],
[
9.509224891662598,
46.849126926374936
],
[
9.51265811920166,
46.85091729168854
],
[
9.509224891... | code_fim | hard | {
"lang": "python",
"repo": "public-transport-quality-grades/oevgk18-generator",
"path": "/tests/output/mock/mock_gradings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: public-transport-quality-grades/oevgk18-generator path: /tests/output/mock/mock_gradings.py
from typing import List
from shapely.geometry import Polygon
from generator.business.model.grading import Grading
from generator.business.model.isochrone import Isochrone
from generator.business.model.st... | code_fim | hard | {
"lang": "python",
"repo": "public-transport-quality-grades/oevgk18-generator",
"path": "/tests/output/mock/mock_gradings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> DATABASE_URI = get_conn_str()
API_PORT = os.getenv('API_PORT')<|fim_prefix|># repo: barrettotte/Pokemon-Teams path: /api/src/config.py
import os
def get_conn_str():
return ''.join([
'DRIVER={PostgreSQL Unicode};',
'DATABASE={};'.format(os.getenv('DB_NAME')),
'UID={};'.format(os.getenv(... | code_fim | easy | {
"lang": "python",
"repo": "barrettotte/Pokemon-Teams",
"path": "/api/src/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: barrettotte/Pokemon-Teams path: /api/src/config.py
import os
def get_conn_str():
return ''.join([
'DRIVER={PostgreSQL Unicode};',
'DATABASE={};'.format(os.getenv('DB_NAME')),
'UID={};'.format(os.getenv('DB_USER')),
'PWD={};'.format(os.getenv('DB_PWD')),
'SERVER={};'.format(... | code_fim | easy | {
"lang": "python",
"repo": "barrettotte/Pokemon-Teams",
"path": "/api/src/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openstack/taskflow path: /taskflow/examples/resume_vm_boot.py
# -*- coding: utf-8 -*-
# Copyright (C) 2013 Yahoo! Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obta... | code_fim | hard | {
"lang": "python",
"repo": "openstack/taskflow",
"path": "/taskflow/examples/resume_vm_boot.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def create_flow():
# Setup the set of things to do (mini-nova).
flow = lf.Flow("root").add(
PrintText("Starting vm creation.", no_slow=True),
lf.Flow('vm-maker').add(
# First create a specification for the final vm to-be.
DefineVMSpec("define_spec"),
... | code_fim | hard | {
"lang": "python",
"repo": "openstack/taskflow",
"path": "/taskflow/examples/resume_vm_boot.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jespino/cligh path: /cligh/repos.py
#!/usr/bin/python
# Repository-related commands.
from cligh.utils import read_user_input
def create(client, args):
"""Create a new repository."""
def validate_description(text):
if len(text) == 0:
print 'Description may not be empty. Try again.'
r... | code_fim | hard | {
"lang": "python",
"repo": "jespino/cligh",
"path": "/cligh/repos.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Fork a repository."""
print client.repos.fork(args.repository)
def do_list(client, args):
"""Command to list the repos for a given user."""
repos = client.repos.list(args.user)
print '%s has the following repositories:' % args.user
print 'Name - Description'
for repo in repos:
print '%s - %s'... | code_fim | hard | {
"lang": "python",
"repo": "jespino/cligh",
"path": "/cligh/repos.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> repo = subparsers.add_parser('repo', help='Manage and query repositories.')
subparsers = repo.add_subparsers(title='Repository-related Subcommands')
repo_list = subparsers.add_parser('list', help='List repositories belonging to a given user.')
repo_list.set_defaults(func=do_list)
repo_list.add_argume... | code_fim | hard | {
"lang": "python",
"repo": "jespino/cligh",
"path": "/cligh/repos.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self,
wgt,
length,
height,
start_width=None,
end_width=None,
port=(0, 0),
direction="EAST",
):
tk.Component.__init__(self, "EulerSBend", locals())
# Protected variables
self.port = port
self.portlist = {}
... | code_fim | hard | {
"lang": "python",
"repo": "gvnwst/PICwriter",
"path": "/picwriter/components/ebend.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if start_width != None:
self.start_width = start_width
else:
self.start_width = wgt.wg_width
if end_width != None:
self.end_width = end_width
else:
self.end_width = wgt.wg_width
if length < 0:
raise ValueE... | code_fim | hard | {
"lang": "python",
"repo": "gvnwst/PICwriter",
"path": "/picwriter/components/ebend.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gvnwst/PICwriter path: /picwriter/components/ebend.py
np.pi - abs(self.turnby)) / 2)
)
self.output_port = (
self.dist_to_vertex
- self.dist_to_vertex * np.cos(np.pi - abs(self.turnby)),
self.sign * self.dist_to_vertex * np.s... | code_fim | hard | {
"lang": "python",
"repo": "gvnwst/PICwriter",
"path": "/picwriter/components/ebend.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def sort(self, A, index, p, r, rc_arr):
"""Function to Divide the input Array into equal sub-arrays"""
if p < r:
q = (p + r) // 2
self.sort(A, index, p, q, rc_arr)
self.sort(A, index, q + 1, r, rc_arr)
self.merge(A, index, p, q, r, rc_a... | code_fim | hard | {
"lang": "python",
"repo": "vinayakasg18/algorithms",
"path": "/InversionCount.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vinayakasg18/algorithms path: /InversionCount.py
""" Class to count the inversion count using merge sort"""
class InversionCount:
def count(self, A: [int]) -> [int]:
""" Count and return the array containing the count of each element """
index_array = []
rc_arr = []... | code_fim | hard | {
"lang": "python",
"repo": "vinayakasg18/algorithms",
"path": "/InversionCount.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dair-iitd/TourismQA path: /src/custom/fetch/posts/getPostsURLs.py
import re
import sys
import bs4
import math
import time
import tqdm
import logging
import argparse
import urllib.request
from pathlib import Path
from bs4 import BeautifulSoup
from urllib.parse import urljoin
from collections impor... | code_fim | hard | {
"lang": "python",
"repo": "dair-iitd/TourismQA",
"path": "/src/custom/fetch/posts/getPostsURLs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> city_post_urls[city] = {}
city_post_urls[city]["city_url"] = city_url
city_post_urls[city]["post_urls"] = post_urls
bar.update()
bar.close()
common.dumpJSON(city_post_urls, posts_urls_file_path)
if(__name__ == "__main__"):
project_root... | code_fim | hard | {
"lang": "python",
"repo": "dair-iitd/TourismQA",
"path": "/src/custom/fetch/posts/getPostsURLs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kekelele/python-udsoncan path: /J2534/__init__.py
from .wrapper import j2534lib
SetErrorLog = j2534lib.SetErrorLog
getDevices = j2534lib.getDevices
setDevice = j2534lib.setDevice
<|fim_suffix|>from .wrapper import ptData, ptTxMsg, ptRxMsg, ptMskMsg, ptPatternMsg
from .wrapper import ptOpen, ... | code_fim | medium | {
"lang": "python",
"repo": "kekelele/python-udsoncan",
"path": "/J2534/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from .wrapper import ptData, ptTxMsg, ptRxMsg, ptMskMsg, ptPatternMsg
from .wrapper import ptOpen, ptClose
from .wrapper import ptConnect, ptDisconnect
from .wrapper import ptReadMsgs, ptWtiteMsgs
from .wrapper import ptStartPeriodicMsg, ptStopPeriodicMsg
from .wrapper import ptStartMsgFilter, ptStopMsgFi... | code_fim | medium | {
"lang": "python",
"repo": "kekelele/python-udsoncan",
"path": "/J2534/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> count = 0
for ste_file in Path(l2l.get_l2root_base_dirs("taskinfo")).glob("*.pickle"):
os.remove(ste_file)
logger.info(f"Deleted {ste_file}")
count += 1
logger.info(f"Done! Deleted {count} STE files")
if __name__ == "__main__":
# Configure logger
logging.basic... | code_fim | medium | {
"lang": "python",
"repo": "lifelong-learning-systems/l2metrics",
"path": "/l2metrics/clear_ste.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILIT... | code_fim | medium | {
"lang": "python",
"repo": "lifelong-learning-systems/l2metrics",
"path": "/l2metrics/clear_ste.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lifelong-learning-systems/l2metrics path: /l2metrics/clear_ste.py
"""
Copyright © 2021-2022 The Johns Hopkins University Applied Physics Laboratory LLC
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software... | code_fim | medium | {
"lang": "python",
"repo": "lifelong-learning-systems/l2metrics",
"path": "/l2metrics/clear_ste.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>_date": "Due date",
"task_status_short_name": "Status",
}
else:
from collections import OrderedDict
tab_columns = OrderedDict(
[
("project_name", "Prod"),
("task_type_name", "Type"),
("entity_name", "Entity"),
("task_estimation", ... | code_fim | hard | {
"lang": "python",
"repo": "LedruRollin/gazu-publisher",
"path": "/kitsupublisher/ui_data/table_headers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LedruRollin/gazu-publisher path: /kitsupublisher/ui_data/table_headers.py
"""
Module with the header names of the table.
The keys are the task attributes we want to display, the values are the names
the columns will have in the table.
"""
from kitsupublisher.utils.pyversion import python_version
... | code_fim | hard | {
"lang": "python",
"repo": "LedruRollin/gazu-publisher",
"path": "/kitsupublisher/ui_data/table_headers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Keypoint AP degrades (though box AP improves) when using plain L1 loss
model.roi_heads.box_predictor.smooth_l1_beta = 0.5<|fim_prefix|># repo: facebookresearch/detectron2 path: /configs/common/models/keypoint_rcnn_fpn.py
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpe... | code_fim | hard | {
"lang": "python",
"repo": "facebookresearch/detectron2",
"path": "/configs/common/models/keypoint_rcnn_fpn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebookresearch/detectron2 path: /configs/common/models/keypoint_rcnn_fpn.py
from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.poolers import ROIPooler
from detectron2.modeling.roi_heads import KRCNNConvDeconvUpsampleHead
from .mask_rcn... | code_fim | medium | {
"lang": "python",
"repo": "facebookresearch/detectron2",
"path": "/configs/common/models/keypoint_rcnn_fpn.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> chrom_name = fields[0]
chrom_length = int(fields[1])
region_start = 0
while region_start < chrom_length:
start = region_start
end = region_start + region_size
if end > chrom_length:
end = chrom_length
print(chrom_name + ":" + str(region_start) +... | code_fim | medium | {
"lang": "python",
"repo": "kylewellband/CT-poly-wgbs",
"path": "/01_scripts/util/fasta_generate_regions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while region_start < chrom_length:
start = region_start
end = region_start + region_size
if end > chrom_length:
end = chrom_length
print(chrom_name + ":" + str(region_start) + "-" + str(end))
region_start = end<|fim_prefix|># repo: kylewellband/CT-po... | code_fim | medium | {
"lang": "python",
"repo": "kylewellband/CT-poly-wgbs",
"path": "/01_scripts/util/fasta_generate_regions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kylewellband/CT-poly-wgbs path: /01_scripts/util/fasta_generate_regions.py
#!/usr/bin/env python
import sys
if len(sys.argv) == 1:
print("usage: ", sys.argv[0], " <fasta file or index file> <region size>")
print("generates a list of freebayes/bamtools region specifiers on stdout")
... | code_fim | hard | {
"lang": "python",
"repo": "kylewellband/CT-poly-wgbs",
"path": "/01_scripts/util/fasta_generate_regions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='device',
name='callsign',
field=models.CharField(blank=True, max_length=50, null=True),
),
]<|fim_prefix|># repo: dbca-wa/resource_tracking path: /tracking/migrations/0016_alter_device_callsign.p... | code_fim | medium | {
"lang": "python",
"repo": "dbca-wa/resource_tracking",
"path": "/tracking/migrations/0016_alter_device_callsign.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dbca-wa/resource_tracking path: /tracking/migrations/0016_alter_device_callsign.py
# Generated by Django 3.2.5 on 2021-10-19 05:47
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies = [
('tracking', '0015_alter_device_internal_only'),
]
operations = [
... | code_fim | easy | {
"lang": "python",
"repo": "dbca-wa/resource_tracking",
"path": "/tracking/migrations/0016_alter_device_callsign.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: luminescence/PolyLibScan path: /Analysis/visualize.py
import matplotlib.pyplot as plt
import numpy as np
import PolyLibScan.Tools.lmp_helpers
from lightning import Lightning
from IPython.display import display, HTML
class Visualize(object):
def __init__(self, parent):
self.parent = ... | code_fim | hard | {
"lang": "python",
"repo": "luminescence/PolyLibScan",
"path": "/Analysis/visualize.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> group = np.zeros(points.shape, np.int)
for i,at in enumerate(points['atom_type']):
if at in run.job.particle_ids['polymer']:
group[i] = 1
else:
group[i] = 2
group[run.job.active_site['xyz']+1] = 3
return group<|fim_pre... | code_fim | hard | {
"lang": "python",
"repo": "luminescence/PolyLibScan",
"path": "/Analysis/visualize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lenck/vlb path: /python/test/test_ms_bench.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
# ===========================================================
# File Name: test_ms_bench.py
# Author: Xu Zhang, Columbia University
# Creation Date: 01-25-2019
# Last Modified: Mon Apr 15 14:57:08 2019
#
#... | code_fim | hard | {
"lang": "python",
"repo": "lenck/vlb",
"path": "/python/test/test_ms_bench.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> ms_result_cv_brisk = ms_bench.evaluate(
vggh, cv_brisk, use_cache=True, save_result=True)
ms_result_cv_kaze = ms_bench.evaluate(
vggh, cv_kaze, use_cache=True, save_result=True)
ms_result_cv_akaze = ms_bench.evaluate(
vggh, cv_akaze, use_cache=True, save_result=True)
... | code_fim | hard | {
"lang": "python",
"repo": "lenck/vlb",
"path": "/python/test/test_ms_bench.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: serashioda/code-katas path: /src/tests/test_count_bits.py
"""Tests for count_bits module."""
import pytest
<|fim_suffix|>@pytest.mark.parametrize("n, result", BITS_TABLE)
def test_count_bits(n, result):
"""Test the count_bits function."""
from count_bits import count_bits
assert coun... | code_fim | medium | {
"lang": "python",
"repo": "serashioda/code-katas",
"path": "/src/tests/test_count_bits.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize("n, result", BITS_TABLE)
def test_count_bits(n, result):
"""Test the count_bits function."""
from count_bits import count_bits
assert count_bits(n) == result<|fim_prefix|># repo: serashioda/code-katas path: /src/tests/test_count_bits.py
"""Tests for count_bits module... | code_fim | medium | {
"lang": "python",
"repo": "serashioda/code-katas",
"path": "/src/tests/test_count_bits.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Test the count_bits function."""
from count_bits import count_bits
assert count_bits(n) == result<|fim_prefix|># repo: serashioda/code-katas path: /src/tests/test_count_bits.py
"""Tests for count_bits module."""
import pytest
BITS_TABLE = [
[0, 0],
[4, 1],
[7, 3],
[9, 2],
... | code_fim | medium | {
"lang": "python",
"repo": "serashioda/code-katas",
"path": "/src/tests/test_count_bits.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> response_xml = auth.get_last_response_xml()
tree = etree.fromstring(response_xml)
username = tree.xpath(self.xpath_username_location, namespaces=self.saml_namespace)[0]
if not username:
return None
app = self.parent
username = self.normalize_us... | code_fim | hard | {
"lang": "python",
"repo": "darden-data-science/SAMLAuthenticator",
"path": "/SAMLAuthenticator/SAMLAuthenticator.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__(**kwargs)
if self.auto_IdP_metadata:
idp_data = OneLogin_Saml2_IdPMetadataParser.parse_remote(self.auto_IdP_metadata)
self.saml_settings = OneLogin_Saml2_IdPMetadataParser.merge_settings(self.saml_settings, idp_data)
def login_url(self, base_u... | code_fim | hard | {
"lang": "python",
"repo": "darden-data-science/SAMLAuthenticator",
"path": "/SAMLAuthenticator/SAMLAuthenticator.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: darden-data-science/SAMLAuthenticator path: /SAMLAuthenticator/SAMLAuthenticator.py
from jupyterhub.handlers import BaseHandler
from jupyterhub.auth import Authenticator
from jupyterhub.utils import url_path_join
from traitlets import Dict, Unicode, Bool
import time
import tornado.httputil
fro... | code_fim | hard | {
"lang": "python",
"repo": "darden-data-science/SAMLAuthenticator",
"path": "/SAMLAuthenticator/SAMLAuthenticator.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: conversationai/wikidetox path: /experimental/conversation_go_awry/feature_extraction/utils/politeness_with_spacy/test_documents.py
TEST_DOCUMENTS = [
{'text' : "Have you found the answer for your question? If yes would you <|fim_suffix|>ay?"},
{'text' : "What are you trying to do? Why can't you... | code_fim | medium | {
"lang": "python",
"repo": "conversationai/wikidetox",
"path": "/experimental/conversation_go_awry/feature_extraction/utils/politeness_with_spacy/test_documents.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ay?"},
{'text' : "What are you trying to do? Why can't you just store the \"Range\"?"},
{'text' : "This was supposed to have been moved to <url> per the cfd. why wasn't it moved?"}]<|fim_prefix|># repo: conversationai/wikidetox path: /experimental/conversation_go_awry/feature_extraction/utils/poli... | code_fim | medium | {
"lang": "python",
"repo": "conversationai/wikidetox",
"path": "/experimental/conversation_go_awry/feature_extraction/utils/politeness_with_spacy/test_documents.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #---synthesize G(z)---#
_G_z = sess.run(G_z, feed_dict)
# Show shape
print('z shape: ', np.shape(_z))
print('G_z shape: ', np.shape(_G_z))
if cond: print('w_input_shape: ', np.shape(label))
# Visualize generated wavefrom
visualize_list = _G_z[:args.generate_visualize_num]
for i, v in enumerate... | code_fim | hard | {
"lang": "python",
"repo": "ligaoliang/Conditional-SpecGAN-Tensorflow",
"path": "/src/generate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ligaoliang/Conditional-SpecGAN-Tensorflow path: /src/generate.py
# -*- coding: utf-8 -*- #
"""*********************************************************************************************"""
# FileName [ generate.py ]
# Synopsis [ Generate wavefroms from trained model as .jpeg images ... | code_fim | hard | {
"lang": "python",
"repo": "ligaoliang/Conditional-SpecGAN-Tensorflow",
"path": "/src/generate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#---get model name---#
mdls = glob.glob(os.path.join(args.train_dir, '*.meta'))
mdl_name = sorted(mdls)[-1].split('-')[-1].split('.')[0]
mdl_name = 'cond_SpecGAN_' + mdl_name if args.conditional else 'SpecGAN_' + mdl_name
if args.conditional: args.generate_dir = args.generate_dir + '_cond'
mdl_dir... | code_fim | hard | {
"lang": "python",
"repo": "ligaoliang/Conditional-SpecGAN-Tensorflow",
"path": "/src/generate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># X''Y''Z''
lcs_2 = LocalCoordinateSystem(location=P3(8,8,0),
x_direction=P3(
math.cos(BaseUtils.angle_to_radian(30)),
math.sin(BaseUtils.angle_to_radian(30)),
0
))
p = P3(10,16,0)
p1 = lcs_1.point_to_local_coordinate(p)
p2 = lcs_2.point_to_local_coordinate(p)
print(p1) # (16.6602540378... | code_fim | hard | {
"lang": "python",
"repo": "madokast/cctpy",
"path": "/final_code/demos/B03坐标系平移旋转.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: madokast/cctpy path: /final_code/demos/B03坐标系平移旋转.py
"""
CCT 建模优化代码
坐标系平移旋转
作者：赵润晓
日期：2021年5月4日
"""
# 因为要使用父目录的 cctpy 所以加入
from os import error, path
import sys
sys.path.append(path.dirname(path.abspath(path.dirname(__file__))))
from cctpy import *
# X'Y'Z' 局部坐标系，因为相对于全局坐标系只有原点 location 不同，坐标轴... | code_fim | hard | {
"lang": "python",
"repo": "madokast/cctpy",
"path": "/final_code/demos/B03坐标系平移旋转.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return jnp.argmax(expected_rates(distance))
@jax.jit
def ideal_mcs_log_distance(distance: Scalar) -> jnp.int32:
return jnp.argmax(expected_rates_log_distance(distance))
# FTM distance measurement noise model (fig. 3):
# https://www2.tkn.tu-berlin.de/bib/zubow2022ftm-ns3/zubow2022ftm-ns3.pdf
RT... | code_fim | hard | {
"lang": "python",
"repo": "ml4wifi-devs/ftmrate",
"path": "/ml4wifi/utils/wifi_specs.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ml4wifi-devs/ftmrate path: /ml4wifi/utils/wifi_specs.py
import jax
import jax.numpy as jnp
import tensorflow_probability.substrates.jax as tfp
from chex import Scalar
tfb = tfp.bijectors
tfd = tfp.distributions
# LogDistance channel model
# https://www.nsnam.org/docs/models/html/wifi-testing.h... | code_fim | hard | {
"lang": "python",
"repo": "ml4wifi-devs/ftmrate",
"path": "/ml4wifi/utils/wifi_specs.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> client_index = runner_args.index('--client') if '--client' in runner_args else -1
client_ip = runner_args[client_index + 1] if client_index >= 0 else '127.0.0.1'
port_index = runner_args.index('--port') if '--port' in runner_args else -1
client_port = runner_args[port_index + 1] if port_i... | code_fim | medium | {
"lang": "python",
"repo": "basilevs/RED",
"path": "/src/RobotFrameworkCore/org.robotframework.ide.core-functions/src/main/python/scripts/red_pydevd_package/redpydevd/redpydevd.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def find_robot_run_path():
try:
# try to get path from local Python interpreter
import robot
path = os.path.join(os.path.dirname(inspect.getfile(robot)), 'run.py')
except:
raise RuntimeError('Unable to find robot.run module')
if not os.path.isfile(path):
... | code_fim | hard | {
"lang": "python",
"repo": "basilevs/RED",
"path": "/src/RobotFrameworkCore/org.robotframework.ide.core-functions/src/main/python/scripts/red_pydevd_package/redpydevd/redpydevd.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: basilevs/RED path: /src/RobotFrameworkCore/org.robotframework.ide.core-functions/src/main/python/scripts/red_pydevd_package/redpydevd/redpydevd.py
#
# Copyright 2019 Nokia Solutions and Networks
# Licensed under the Apache License, Version 2.0,
# see license.txt file for details.
#
import os
imp... | code_fim | hard | {
"lang": "python",
"repo": "basilevs/RED",
"path": "/src/RobotFrameworkCore/org.robotframework.ide.core-functions/src/main/python/scripts/red_pydevd_package/redpydevd/redpydevd.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hiroaki-yamamoto/django-good-otp path: /example/example/urls.py
#!/usr/bin/env python
# coding=utf-8
"""example URL Configuration.
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
... | code_fim | medium | {
"lang": "python",
"repo": "hiroaki-yamamoto/django-good-otp",
"path": "/example/example/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class TestAdminSite(admin.AdminSite):
"""test admin site."""
login_form = AdminSite.login_form
login_template = AdminSite.login_template
def __init__(self, *args, **kwargs):
"""Init."""
super(TestAdminSite, self).__init__(*args, **kwargs)
self._registry = admin.s... | code_fim | medium | {
"lang": "python",
"repo": "hiroaki-yamamoto/django-good-otp",
"path": "/example/example/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bGN4/poweredsites path: /poweredsites/forms/profile.py
# -*- coding: utf-8 -*-
#
# Copyright(c) 2010 poweredsites.org
#
# 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... | code_fim | hard | {
"lang": "python",
"repo": "bGN4/poweredsites",
"path": "/poweredsites/forms/profile.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._handler.db.execute(
"UPDATE user SET username = %s, email = %s, status_ = %s, \
blog_name = %s, blog_url = %s WHERE id = %s",
v['username'].lower(), v['email'], const.Status.ACTIVE, \
... | code_fim | hard | {
"lang": "python",
"repo": "bGN4/poweredsites",
"path": "/poweredsites/forms/profile.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> #Place (city, stateAbbreviation) tuples in a list that you would like to be scraped
locations = [["austin","tx"], ["san-antonio", "tx"], ["dallas", "tx"], ["houston", "tx"], ["fort-worth","tx"], ["el-paso", "tx"], ["arlington", "tx"]]
for city, state in locations:
generate_urls(cit... | code_fim | hard | {
"lang": "python",
"repo": "hbrinsko/GoFundMeScraper",
"path": "/scraping.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> c = Campaign(url, ctitle, cgoal, cShareCount, cDesc, donor, time)
cData = {
"url": c.url,
"title": c.campaignTitle.body,
"title-length": c.campaignTitle.calculate_length(),
"title-sentiment": c.campaignTitle.calculate_sentiment(analyzer),
... | code_fim | hard | {
"lang": "python",
"repo": "hbrinsko/GoFundMeScraper",
"path": "/scraping.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hbrinsko/GoFundMeScraper path: /scraping.py
import requests
import pyexcel as pe
from bs4 import BeautifulSoup
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import csv
import re
from datetime import datetime
class Text:
def __init__(self, body):
self.body = bod... | code_fim | hard | {
"lang": "python",
"repo": "hbrinsko/GoFundMeScraper",
"path": "/scraping.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Print out the input libraries.
Utility.PrintBuildArguments(sofiaImsName, 'libraries', sofiaImsEnv['LIBS'])
# For Windows, suppress the following warnings.
# (1) C4100: unreferenced formal parameter.
# (2) C4127: conditional expression is constant.
# (3) C4189: local variable is initialized but not refe... | code_fim | hard | {
"lang": "python",
"repo": "smart-conn/ajsipe2e",
"path": "/Src/CloudCommEngine/IMSTransport/Sofia/SConscript",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|># Build the shared library.
targetLibName = 'SofiaIms'
sourceFileList = Glob('*.cc')
Utility.PrintBuildArguments(sofiaImsName, 'source files', sourceFileList)
sofiaImsLib = sofiaImsEnv.SharedLibrary(targetLibName, sourceFileList)
sofiaImsEnv.Install(['$DISTDIR/cpp/lib', '$DISTDIR/cpp/bin'], sofiaImsLib)... | code_fim | hard | {
"lang": "python",
"repo": "smart-conn/ajsipe2e",
"path": "/Src/CloudCommEngine/IMSTransport/Sofia/SConscript",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smart-conn/ajsipe2e path: /Src/CloudCommEngine/IMSTransport/Sofia/SConscript
# Copyright AllSeen Alliance. All rights reserved.
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyrigh... | code_fim | hard | {
"lang": "python",
"repo": "smart-conn/ajsipe2e",
"path": "/Src/CloudCommEngine/IMSTransport/Sofia/SConscript",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__=="__main__":
if (len(sys.argv) < 3 ):
print USAGE
else:
examples = [line.strip() for line in open(sys.argv[1]).readlines() ]
positive = [e for e in examples if e[0] =='1' ]
negative = [e for e in examples if e[0] == '-' ]
numfolds = int(sys.argv[... | code_fim | hard | {
"lang": "python",
"repo": "Najah-lshanableh/machine_learning_legislation",
"path": "/src/python/classification/generate_cv_files.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> folds = []
for i in range(nfolds):
folds.append([])
if len(positive_examples) < len(negative_examples):
smaller = positive_examples
bigger = negative_examples
else:
smaller = negative_examples
bigger = positive_examples
random.shuffle(smaller)
... | code_fim | medium | {
"lang": "python",
"repo": "Najah-lshanableh/machine_learning_legislation",
"path": "/src/python/classification/generate_cv_files.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Najah-lshanableh/machine_learning_legislation path: /src/python/classification/generate_cv_files.py
# generates cross validation files for svm_light dataset with stratification
import os, sys
import random
USAGE = "python %s <input-svm-light-file> <output-folder> <num-folds>" %(sys.argv[0])
def... | code_fim | hard | {
"lang": "python",
"repo": "Najah-lshanableh/machine_learning_legislation",
"path": "/src/python/classification/generate_cv_files.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_column('appointment', 'is_accepted')
# ### end Alembic commands ###<|fim_prefix|># repo: mrfade/uas-backend path: /migrations/versions/dcd7be474216_.py
"""empty message
Revision ID: dcd7be474216
Revises: 0... | code_fim | medium | {
"lang": "python",
"repo": "mrfade/uas-backend",
"path": "/migrations/versions/dcd7be474216_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mrfade/uas-backend path: /migrations/versions/dcd7be474216_.py
"""empty message
Revision ID: dcd7be474216
Revises: 0f709f68fae3
Create Date: 2021-01-10 16:09:42.089254
"""
from alembic import op
import sqlalchemy as sa
<|fim_suffix|>
def downgrade():
# ### commands auto generated by Alemb... | code_fim | hard | {
"lang": "python",
"repo": "mrfade/uas-backend",
"path": "/migrations/versions/dcd7be474216_.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # this tests the angular momentum conversion
ds.add_virtual_columns_cartesian_angular_momenta(Lx='Lx_', Ly='Ly_', Lz='Lz_')
ds['L_'] = np.sqrt(ds.Lx_**2. + ds.Ly_**2. + ds.Lz_**2.)
np.testing.assert_almost_equal(ds.Lz.values, ds.Lz_.values, err_msg='error when calculating Lz', decimal=3)
... | code_fim | hard | {
"lang": "python",
"repo": "heyuqi1970/vaex",
"path": "/tests/virtual_columns_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heyuqi1970/vaex path: /tests/virtual_columns_test.py
from common import *
def test_add_virtual_columns_polar_velocities_to_cartesian():
ds = vaex.example()
ds.add_virtual_columns_cartesian_velocities_to_polar()
ds.add_virtual_columns_cartesian_to_polar()
# With azimuth = None
... | code_fim | hard | {
"lang": "python",
"repo": "heyuqi1970/vaex",
"path": "/tests/virtual_columns_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> kfNumpy = KFBlock()
gtSignal, dt, pSignal, mSignal, mCov = prepData(seqLocal=seq)
posGT = np.cumsum(gtSignal, axis=0)
gnet = GuessNet()
if not isTrain:
gnet.train()
checkPoint = torch.load(wName + '.pt')
gnet.load_state_dict(checkPoint['model_state_dict... | code_fim | hard | {
"lang": "python",
"repo": "kuui24/Deep_Visual_Inertial_Odometry",
"path": "/main_KF.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kuui24/Deep_Visual_Inertial_Odometry path: /main_KF.py
from src.DataReader.KF_Data.KF_PrepData import DataManager
from scipy import signal
from src.Params import *
from src.Models.KF_Model.KF_BLock import *
from src.Models.KF_Model.KF_Model import *
import torch.optim as optim
import matplo... | code_fim | hard | {
"lang": "python",
"repo": "kuui24/Deep_Visual_Inertial_Odometry",
"path": "/main_KF.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> m = begin_patten.match(line)
if m != None:
meet_begin_patten = True
tmp_file.write(m.group(1) + "\n")
continue
if end_patten.match(line):
meet_begin_patten = False
continue
elif meet_be... | code_fim | hard | {
"lang": "python",
"repo": "SFU-HiAccel/merlin-compiler",
"path": "/trunk/mars-gen/scripts/merlin_flow/preprocess_remove_directive.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SFU-HiAccel/merlin-compiler path: /trunk/mars-gen/scripts/merlin_flow/preprocess_remove_directive.py
# (C) Copyright 2016-2021 Xilinx, Inc.
# All Rights Reserved.
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distri... | code_fim | hard | {
"lang": "python",
"repo": "SFU-HiAccel/merlin-compiler",
"path": "/trunk/mars-gen/scripts/merlin_flow/preprocess_remove_directive.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ## Required parameters
parser.add_argument("--topic", default=None, type=str, required=True,
help="Topic to train LM task on on")
parser.add_argument("--epochs", default=None, type=str, required=True,
help="No of epochs to run this lm task on")
... | code_fim | medium | {
"lang": "python",
"repo": "abdullahmitkar/deep-reading-of-a-topic",
"path": "/lm.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abdullahmitkar/deep-reading-of-a-topic path: /lm.py
""" Finetuning the library models for question-answering on SQuAD (DistilBERT, Bert, XLM, XLNet)."""
from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM
from transformers import BertModel, BertTokenizer
from pytorch_p... | code_fim | hard | {
"lang": "python",
"repo": "abdullahmitkar/deep-reading-of-a-topic",
"path": "/lm.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _assert_equal(d_0, d_1):
"""Check that two objects are equal."""
# Compare arrays.
if _is_array_like(d_0):
try:
ae(d_0, d_1)
except AssertionError:
ac(d_0, d_1)
# Compare dicts recursively.
elif isinstance(d_0, dict):
assert set(d_0) ... | code_fim | hard | {
"lang": "python",
"repo": "cortex-lab/phylib",
"path": "/phylib/utils/testing.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cortex-lab/phylib path: /phylib/utils/testing.py
# -*- coding: utf-8 -*-
"""Utility functions used for tests."""
#------------------------------------------------------------------------------
# Imports
#------------------------------------------------------------------------------
from contex... | code_fim | hard | {
"lang": "python",
"repo": "cortex-lab/phylib",
"path": "/phylib/utils/testing.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Move the picture into cache folder
output_path = '{}/{}{}.{}'.format(cache_folder_path, folder_name,
i, file_type)
os.rename(image_path, output_path)
# Print new image's path
print('%s was saved.' % output_path)
if __nam... | code_fim | hard | {
"lang": "python",
"repo": "BriceChou/aispider",
"path": "/training/move_picture_into_cache.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Get data folder and cache folder path
data_folder_path = os.path.abspath(project_path + 'data')
cache_folder_path = os.path.abspath(project_path + 'cache')
# Store the all pictures
pictures_list = []
lib.get_image_path_from_folder(data_folder_path, pictures_list)
i = lib.ge... | code_fim | medium | {
"lang": "python",
"repo": "BriceChou/aispider",
"path": "/training/move_picture_into_cache.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BriceChou/aispider path: /training/move_picture_into_cache.py
__author__ = 'Brice Chou'
import os
import sys
# Extend on our system's path and can load the other folder's file
sys.path.append('..')
import lib
# Use the utf-8 coded format
reload(sys)
sys.setdefaultencoding('utf-8')
def move(p... | code_fim | hard | {
"lang": "python",
"repo": "BriceChou/aispider",
"path": "/training/move_picture_into_cache.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> expect = [
('GET', '/v1/containers/?sort_key=uuid', {}, None),
]
self._test_containers_list_with_filters(
sort_key='uuid',
expect=expect)
def test_container_list_with_sort_key_dir(self):
expect = [
('GET', '/v1/containers... | code_fim | hard | {
"lang": "python",
"repo": "openstack/python-zunclient",
"path": "/zunclient/tests/unit/v1/test_containers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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