text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: LegendBC/PET path: /operator_ae/ansor/generate_task.py
import re
with open('task.txt') as f:
for l in f.readlines():
pattern = <|fim_suffix|>KW, strides, padding, dilation = 1, 14, 14, 512, 512, 3, 3, (
# 1, 1), (3, 3), 3<|fim_middle|>re.compile(r'\[.*?\]') # 查找数字
result... | code_fim | medium | {
"lang": "python",
"repo": "LegendBC/PET",
"path": "/operator_ae/ansor/generate_task.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bpbpublications/Advance-Core-Python-Programming path: /Chapter 12/Pre_order_traversal.py
class Node(object):
def __init__(self, data_value):
self.data_value = data_value
self.left = None
self.right = None
def insert_left(self, child):
if s... | code_fim | hard | {
"lang": "python",
"repo": "bpbpublications/Advance-Core-Python-Programming",
"path": "/Chapter 12/Pre_order_traversal.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Tree_Right
print("Create Tree_Right")
tree_right = Node("Tree_Right")
root.insert_right(tree_right)
#TreeLL
print("Create TreeLL")
treell = Node("TreeLL")
tree_left.insert_left(treell)
print("*****Preorder Traversal*****")
print(root.preorder(root))<|fim_prefix|># repo: bpbpubl... | code_fim | hard | {
"lang": "python",
"repo": "bpbpublications/Advance-Core-Python-Programming",
"path": "/Chapter 12/Pre_order_traversal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>root.insert_right(tree_right)
#TreeLL
print("Create TreeLL")
treell = Node("TreeLL")
tree_left.insert_left(treell)
print("*****Preorder Traversal*****")
print(root.preorder(root))<|fim_prefix|># repo: bpbpublications/Advance-Core-Python-Programming path: /Chapter 12/Pre_order_traversal.... | code_fim | hard | {
"lang": "python",
"repo": "bpbpublications/Advance-Core-Python-Programming",
"path": "/Chapter 12/Pre_order_traversal.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PeterZhouSZ/neural_surface_maps path: /utils/config.py
from datetime import datetime
from omegaconf import OmegaConf
import os
### Compose folders name from exp parameters
def compose_config_folders(config):
<|fim_suffix|>
### Copy configuration to experiment folder
def copy_config_to_experime... | code_fim | hard | {
"lang": "python",
"repo": "PeterZhouSZ/neural_surface_maps",
"path": "/utils/config.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> out_path = os.path.join(folder, 'config.yaml')
OmegaConf.save(config, out_path, resolve=True)<|fim_prefix|># repo: PeterZhouSZ/neural_surface_maps path: /utils/config.py
from datetime import datetime
from omegaconf import OmegaConf
import os
### Compose folders name from exp parameters
def com... | code_fim | hard | {
"lang": "python",
"repo": "PeterZhouSZ/neural_surface_maps",
"path": "/utils/config.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = local('ffmpeg -i %s -vf subtitles=%s -strict -2 -vcodec libx264 -b 512K -threads 4 -preset superfast -crf 23 %s' % (vid,srt,out),capture=True)
return out
except Exception, e:
print e
return False
if __name__ == '__main__':
merge()<|fim_prefix|># rep... | code_fim | hard | {
"lang": "python",
"repo": "level09/cc",
"path": "/tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: level09/cc path: /tasks.py
from celery import Celery
from celery.task import periodic_task, task
from datetime import timedelta
from settings import Config
from fabric.api import local
from uuid import uuid4
import os
celery = Celery('tasks',broker='redis://localhost:6379/2')
CFG = Config()
... | code_fim | medium | {
"lang": "python",
"repo": "level09/cc",
"path": "/tasks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MarineLasbleis/GrowYourIC path: /thisisatest.py
import numpy as np
import matplotlib.pyplot as plt #for figures
from mpl_toolkits.basemap import Basemap #to render maps
import math
from GrowYourIC import positions, geodyn, geodyn_trg, geodyn_static, plot_data, data
#plt.rcParams['figure.figsize... | code_fim | hard | {
"lang": "python",
"repo": "MarineLasbleis/GrowYourIC",
"path": "/thisisatest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
npoints = 60 #number of points in the x direction for the data set.
data_set = data.PerfectSamplingEquator(npoints, rICB = 1.)
data_set.method = "bt_point"
Radial = geodyn_static.Radial_sym()
proxy = geodyn.evaluate_proxy(data_set, Radial, proxy_type="radius", verbose = False)
data_set.plot_c_vec(R... | code_fim | hard | {
"lang": "python",
"repo": "MarineLasbleis/GrowYourIC",
"path": "/thisisatest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :rtype : object
"""
release_tag = latest_github_tag()
distro = check_distro()
agent_tar_path = "/root/nova-agent/nova-agent-Linux-x86_64-%s.tar.gz" % release_tag
nova_file = "nova-agent-Linux-x86_64-%s.tar.gz" % release_tag
installer_path = "/root/nova-agent/"
nov... | code_fim | hard | {
"lang": "python",
"repo": "bdelliott/openstack-guest-agents-unix",
"path": "/tools/install_agent.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bdelliott/openstack-guest-agents-unix path: /tools/install_agent.py
__author__ = 'Admin'
import os
import subprocess
import shutil
import time
import platform
import json
import urllib2
def latest_github_tag():
""" Returns latest Release Tag at GitHub. """
release_tags_github_url = "ht... | code_fim | hard | {
"lang": "python",
"repo": "bdelliott/openstack-guest-agents-unix",
"path": "/tools/install_agent.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if os.path.exists(nova_agent__process_path):
subprocess.call(["%s" % nova_agent__process_path, "stop"])
if os.path.exists(nova_agent_path):
#shutil.move(nova_agent_path, "/tmp")
subprocess.call(["rm", "-rf", "%s" % nova_agent_path])
if os.path.exists(nova_agent_bin_pa... | code_fim | hard | {
"lang": "python",
"repo": "bdelliott/openstack-guest-agents-unix",
"path": "/tools/install_agent.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>spam = "Four score and seven years is eighty seven years."
# 3. If you assign spam = "Four score and seven years is eighty seven years.",
# what would each of the following lines print?
print(spam[5])
print(spam[-3])
print(spam[0:4] + spam[5])
print(spam[-3:-1])
print(spam[:10])
print(spam[-5:])
print(... | code_fim | medium | {
"lang": "python",
"repo": "leihuagh/python-tutorials",
"path": "/books/CrackingCodesWithPython/Chapter03/PracticeQuestions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leihuagh/python-tutorials path: /books/CrackingCodesWithPython/Chapter03/PracticeQuestions.py
# Chapter 3 Practice Questions
spam = "Cats"
# 1. If you assign spam = "Cats", what do the following lines print?
print(spam + spam + spam)
print(spam * 3)
<|fim_suffix|>spam = "Four score and seven ye... | code_fim | medium | {
"lang": "python",
"repo": "leihuagh/python-tutorials",
"path": "/books/CrackingCodesWithPython/Chapter03/PracticeQuestions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> returner = []
for injector in injectors:
result_futures = [
requester.check(test_payload.format(working=working))
for (test_payload, expected) in injector.test_payloads
]
results = await asyncio.gather(*result_futures)
for idx, (test_p... | code_fim | hard | {
"lang": "python",
"repo": "Tobey123/xcat",
"path": "/xcat/payloads.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tobey123/xcat path: /xcat/payloads.py
import asyncio
from collections import namedtuple
from typing import List
from xpath import E
from .requester import Requester
Injection = namedtuple('Injection', 'name example test_payloads payload_generator')
def makeformat(str):
return lambda work... | code_fim | hard | {
"lang": "python",
"repo": "Tobey123/xcat",
"path": "/xcat/payloads.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scifi6546/n-tree path: /tree.py
def insert(root,data):
if(root.type=="l0"):
if(root.dat<|fim_suffix|>insert(root,data[1:])
else:
root = L1(root,None)<|fim_middle|>a is None):
root.data=data[0]
if(len(data)==1):
return
... | code_fim | hard | {
"lang": "python",
"repo": "scifi6546/n-tree",
"path": "/tree.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>insert(root,data[1:])
else:
root = L1(root,None)<|fim_prefix|># repo: scifi6546/n-tree path: /tree.py
def insert(root,data):
if(root.type=="l0"):
if(root.data is None):
root.data=data[0]
if(len(data)==<|fim_middle|>1):
return
... | code_fim | hard | {
"lang": "python",
"repo": "scifi6546/n-tree",
"path": "/tree.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>1):
return
else:
return insert(root,data[1:])
else:
root = L1(root,None)<|fim_prefix|># repo: scifi6546/n-tree path: /tree.py
def insert(root,data):
if(root.type=="l0"):
if(root.dat<|fim_middle|>a is None):
root.data=... | code_fim | hard | {
"lang": "python",
"repo": "scifi6546/n-tree",
"path": "/tree.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sousoul/PARIMA path: /Preprocess/FrameProjector/StitchedCentroidConverter.py
import argparse
import vrProjector
import numpy as np
import cv2 as cv
import os
def main():
<|fim_suffix|> out = vrProjector.CubemapProjection()
out.initImages(int(args.cubeMapDim), int(args.cubeMapDim))
source = ... | code_fim | hard | {
"lang": "python",
"repo": "sousoul/PARIMA",
"path": "/Preprocess/FrameProjector/StitchedCentroidConverter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> out = vrProjector.CubemapProjection()
out.initImages(int(args.cubeMapDim), int(args.cubeMapDim))
source = vrProjector.EquirectangularProjection()
source.loadImage(args.dirPath + "/frame0.jpg")
out.reprojectToEquirectangular(args.source, source, int(args.cubeMapDim), int(args.cubeMapDim), args.output... | code_fim | hard | {
"lang": "python",
"repo": "sousoul/PARIMA",
"path": "/Preprocess/FrameProjector/StitchedCentroidConverter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zerothi/aotus path: /fortran_language.py
# Checks for supported Fortran language features
#
# Results are stored in the context environment with a fortsupp_ prefix.
#
def options(opt):
flopts = opt.add_option_group('Fortran Language specific settings')
flopts.add_option('--quad_kind', ac... | code_fim | hard | {
"lang": "python",
"repo": "zerothi/aotus",
"path": "/fortran_language.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if conf.is_defined('quadruple'):
fcenv['fortsupp_quad_kind'] = int( conf.get_define('quadruple')
.replace('"', '').strip() )
else:
fcenv['fortsupp_quad_kind'] = -1
conf.env = fcenv
if conf.env['fortsupp_quad_kind'] > 0:
conf.end_m... | code_fim | hard | {
"lang": "python",
"repo": "zerothi/aotus",
"path": "/fortran_language.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def supports_f2008_gamma(conf, mandatory=True):
'''
Check for F2008 gamma function support.
'''
fcenv = conf.env.derive()
fcenv.detach()
conf.check_fc(fragment = '''
program check_gamma
implicit none
real :: a_real
real :: res
read(*,*) a_real
res = gamma(a_real)
end program che... | code_fim | hard | {
"lang": "python",
"repo": "zerothi/aotus",
"path": "/fortran_language.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def mockreturn():
return 'foo'
monkeypatch.setattr("neo.libs.ncurses.setup_form", mockreturn)
x = ncurses.setup_form()
assert x == 'foo'
def test_curses_exec_form(self, monkeypatch):
def mockreturn():
return 'foo'
monkeypatch.set... | code_fim | hard | {
"lang": "python",
"repo": "isnuryusuf/neo-cli",
"path": "/tests/test_ncurses.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: isnuryusuf/neo-cli path: /tests/test_ncurses.py
import pytest
from neo.libs import ncurses
class TestCurses:
def test_curses_get_stack(self, monkeypatch):
def mockreturn():
return 'foo'
monkeypatch.setattr("neo.libs.ncurses.get_stack", mockreturn)
x = ncu... | code_fim | medium | {
"lang": "python",
"repo": "isnuryusuf/neo-cli",
"path": "/tests/test_ncurses.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RoyRin/opendp path: /.github/assert_version.py
import configparser
import toml
# all version numbers should be:
version = open("../VERSION", 'r').read()
assert version != "0.0.0-development", "Please update the repository with the current version."
print("Checking if all version numbers are sync... | code_fim | hard | {
"lang": "python",
"repo": "RoyRin/opendp",
"path": "/.github/assert_version.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># check that opendp crate version is set properly
opendp_toml = toml.load('../rust/opendp/Cargo.toml')
assert opendp_toml['package']['version'] == version, \
"rust/opendp/Cargo.toml crate version is incorrect"
# check that opendp-ffi crate version is set properly
opendp_ffi_toml = toml.load('../rust/... | code_fim | hard | {
"lang": "python",
"repo": "RoyRin/opendp",
"path": "/.github/assert_version.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
total = 15
coins = [3,4,6,7,9]
total_sol = number_of_solutions(total, coins)
total_sol_space = number_of_solutions_space_efficient(total, coins)
print(str(total_sol) + " " + str(total_sol_space))
actual_solution(total, coins)<|fim_prefix|># repo: shree199... | code_fim | hard | {
"lang": "python",
"repo": "shree1999/interview",
"path": "/python/dynamic/coinchangetotalsolution.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shree1999/interview path: /python/dynamic/coinchangetotalsolution.py
# coin changing number of solutions possible
# java code https://github.com/mission-peace/interview/blob/master/src/com/interview/dynamic/CoinChanging.java
# It counts number of ways total can be formed with given coins
# given... | code_fim | hard | {
"lang": "python",
"repo": "shree1999/interview",
"path": "/python/dynamic/coinchangetotalsolution.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def actual_soltion_util(total, coins, result):
if total == 0:
print(result)
return
for index, coin in enumerate(coins):
if total >= coin:
result.append(coin)
actual_soltion_util(total - coin, coins[index:], result)
del result[len(result)-... | code_fim | medium | {
"lang": "python",
"repo": "shree1999/interview",
"path": "/python/dynamic/coinchangetotalsolution.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cookiehacker29/callofdutyapi path: /GetAPI.py
from Database import Database
from requests import *
import sys
import random
import json
import urllib
import os
"""
=================
GetAPI class
=================
Class allowing to get the data of API of call of duty
Example of use :
myAP... | code_fim | hard | {
"lang": "python",
"repo": "cookiehacker29/callofdutyapi",
"path": "/GetAPI.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Fonction to get any data and save it on the database
"""
def run(self) -> None:
self.mysql.connect()
api_data = self.accessToStats()
if api_data.status_code == 200:
print("\033[1;32m[OK]\033[0m API connexion success....")
data_js... | code_fim | hard | {
"lang": "python",
"repo": "cookiehacker29/callofdutyapi",
"path": "/GetAPI.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> access_token = json.loads(device.text)["data"]["authHeader"]
headers_login = {
"Authorization": f"Bearer "+access_token,
"x_cod_device_id": self.device_id
}
login = post(url=self.url_login, json=mydata_login, headers=headers... | code_fim | hard | {
"lang": "python",
"repo": "cookiehacker29/callofdutyapi",
"path": "/GetAPI.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wang-Haining/writeprints-zh path: /tests/test_base.py
from writeprints_static.base import WriteprintsStatic
import pytest
def test_transform():
texts = ["This is a text.", "This is another text."]
vec = WriteprintsStatic()
X = vec.transform(texts)
assert X is not None
assert... | code_fim | hard | {
"lang": "python",
"repo": "Wang-Haining/writeprints-zh",
"path": "/tests/test_base.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> texts = ["This is a text.", "This is another text."]
vec = WriteprintsStatic()
X = vec.fit_transform(texts)
feature_names = vec.get_feature_names()
assert feature_names is not None
assert len(feature_names) == 552
assert feature_names[2] == "short_words"
assert feature_name... | code_fim | hard | {
"lang": "python",
"repo": "Wang-Haining/writeprints-zh",
"path": "/tests/test_base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Convert all sizes in bytes to bytes, MB, GB, etc.
for path, size in file_sizes.items():
file_sizes[path] = convert(size)
return file_sizes
def graph_dir(
directory: str,
filename: str = '',
orientation: str = 'LR',
data: bool = False,
... | code_fim | hard | {
"lang": "python",
"repo": "mjstamper/Directory-Grapher",
"path": "/dir.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mjstamper/Directory-Grapher path: /dir.py
"""
Alex Eidt
Creates an acyclic directed graph representing the structure any directory
that is in the same directory as this script.
"""
import os
import argparse
import requests
from graphviz import Digraph
from typing import Union
# Change PATH se... | code_fim | hard | {
"lang": "python",
"repo": "mjstamper/Directory-Grapher",
"path": "/dir.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
parser = argparse.ArgumentParser(description='Visualizes directory structure with graphs.')
parser.add_argument('dir', help='Directory Name.')
parser.add_argument('-o', required=False, help='Output file name.')
parser.add_argument('-d', required=False, help='Visualization Depth... | code_fim | hard | {
"lang": "python",
"repo": "mjstamper/Directory-Grapher",
"path": "/dir.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># use with authentication
# please insert correct OAuth token
headers['Authorization'] = 'Bearer ' + 'your_oauth_token'
r = http.urlopen('GET', url, headers=headers)
print(r.status)
print(r.data)<|fim_prefix|># repo: matteoporru/iot-starterkit path: /neo/code-snippets/python/hcp-iot-services/https/retr... | code_fim | hard | {
"lang": "python",
"repo": "matteoporru/iot-starterkit",
"path": "/neo/code-snippets/python/hcp-iot-services/https/retrieve.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># interaction for a specific Device instance - replace 1 with your specific Device ID
url = 'https://iotmms_on_your_trial_system.hanatrial.ondemand.com/com.sap.iotservices.mms/v1/api/http/data/1'
headers = urllib3.util.make_headers()
# use with authentication
# please insert correct OAuth token
headers[... | code_fim | hard | {
"lang": "python",
"repo": "matteoporru/iot-starterkit",
"path": "/neo/code-snippets/python/hcp-iot-services/https/retrieve.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matteoporru/iot-starterkit path: /neo/code-snippets/python/hcp-iot-services/https/retrieve.py
import urllib3
import certifi
# It is absolutely CRITICAL that you use certificate validation to ensure and guarantee that
# 1. you are indeed sending the message to *.hanatrial.ondemand.com and
# 2. th... | code_fim | hard | {
"lang": "python",
"repo": "matteoporru/iot-starterkit",
"path": "/neo/code-snippets/python/hcp-iot-services/https/retrieve.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jiaxuuuuuu/VanillaML path: /vanilla_ml/util/metrics/rmse.py
"""
Root mean square error (RMSE)
"""
import numpy as np
def mse_score(y_true, y_pred):
return np.mean(np.square(y_true - y_pred))
<|fim_suffix|> return np.sqrt(mse_score(y_true, y_pred))<|fim_middle|>def rmse_score(y_true, y_... | code_fim | easy | {
"lang": "python",
"repo": "Jiaxuuuuuu/VanillaML",
"path": "/vanilla_ml/util/metrics/rmse.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def rmse_score(y_true, y_pred):
return np.sqrt(mse_score(y_true, y_pred))<|fim_prefix|># repo: Jiaxuuuuuu/VanillaML path: /vanilla_ml/util/metrics/rmse.py
"""
Root mean square error (RMSE)
"""
import numpy as np
def mse_score(y_true, y_pred):
<|fim_middle|> return np.mean(np.square(y_true - y_p... | code_fim | easy | {
"lang": "python",
"repo": "Jiaxuuuuuu/VanillaML",
"path": "/vanilla_ml/util/metrics/rmse.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bgoonz/UsefulResourceRepo2.0 path: /_RESOURCES/awesome-git-user/ThinkComplexity2/code/listsum.py
"""This module contains code from
Think Python by Allen B. Downey
http://thinkpython.com
Copyright 2012 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
import os
import ... | code_fim | hard | {
"lang": "python",
"repo": "bgoonz/UsefulResourceRepo2.0",
"path": "/_RESOURCES/awesome-git-user/ThinkComplexity2/code/listsum.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Plots data and a fitted curve.
ns: sequence of n (problem size)
ts: sequence of t (run time)
label: string label for the data curve
color: string color for the data curve
exp: exponent (slope) for the fitted curve
"""
tfit = fit(ns, ts, exp)
pyplot.plot(ns, tfit, co... | code_fim | hard | {
"lang": "python",
"repo": "bgoonz/UsefulResourceRepo2.0",
"path": "/_RESOURCES/awesome-git-user/ThinkComplexity2/code/listsum.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: project-lolquiz/the-backend path: /routes/game_route.py
from flasgger import swag_from
from flask import jsonify, Blueprint
<|fim_suffix|>
@game_config_rest.route('/games/configs/types')
@swag_from('./docs/game/game_types.yml')
def game_types():
return jsonify(get_all_types()), 200
@game_c... | code_fim | medium | {
"lang": "python",
"repo": "project-lolquiz/the-backend",
"path": "/routes/game_route.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return jsonify(get_all_types()), 200
@game_config_rest.route('/games/configs/modes')
@swag_from('./docs/game/game_modes.yml')
def game_modes():
return jsonify(get_all_modes()), 200<|fim_prefix|># repo: project-lolquiz/the-backend path: /routes/game_route.py
from flasgger import swag_from
from f... | code_fim | medium | {
"lang": "python",
"repo": "project-lolquiz/the-backend",
"path": "/routes/game_route.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lisaveta-K/lisaveta-k.github.io path: /_site/tomat/apps/checkout/managers.py
# -*- coding: utf-8 -*-
from satchless.process import ProcessManager
from cart.models import Cart
from checkout.steps.auth import AuthStep
from checkout.steps.delivery import DeliveryStep
from checkout.steps.address im... | code_fim | hard | {
"lang": "python",
"repo": "Lisaveta-K/lisaveta-k.github.io",
"path": "/_site/tomat/apps/checkout/managers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if request.user.is_anonymous() or request.user.status in (User.STATUS_CUSTOMER, User.STATUS_ADMIN):
self.steps = (
AuthStep(self, request),
PhoneStep(self, request),
DeliveryStep(self, request),
AddressStep(self, request),... | code_fim | hard | {
"lang": "python",
"repo": "Lisaveta-K/lisaveta-k.github.io",
"path": "/_site/tomat/apps/checkout/managers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jrobichaud/django-awesome-presentations path: /testing_migrations/models.py
from django.db import models
class AwesomeModel(models.Model):
name = models.CharField(max_length=100, unique=True)
<|fim_suffix|>
class KittenName(models.Model):
kitten = models.ForeignKey(Kitten, on_delete=mo... | code_fim | medium | {
"lang": "python",
"repo": "jrobichaud/django-awesome-presentations",
"path": "/testing_migrations/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class KittenName(models.Model):
kitten = models.ForeignKey(Kitten, on_delete=models.CASCADE)
name = models.CharField(max_length=100)<|fim_prefix|># repo: jrobichaud/django-awesome-presentations path: /testing_migrations/models.py
from django.db import models
class AwesomeModel(models.Model):
... | code_fim | medium | {
"lang": "python",
"repo": "jrobichaud/django-awesome-presentations",
"path": "/testing_migrations/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dantefung/Python-Codebase path: /study_sample/ahp/ahp.py
# coding:utf-8
import numpy as np
class AHP:
"""
相关信息的传入和准备
"""
def __init__(self, array):
## 记录矩阵相关信息
self.array = array
## 记录矩阵大小
self.n = array.shape[0]
# 初始化RI值，用于一致性检验
se... | code_fim | hard | {
"lang": "python",
"repo": "dantefung/Python-Codebase",
"path": "/study_sample/ahp/ahp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
几何平均法求权重
"""
def cal_weight__by_geometric_method(self):
# 求矩阵的每列的积
col_product = np.product(self.array, axis=0)
# 将得到的积向量的每个分量进行开n次方
array_power = np.power(col_product, 1 / self.n)
# 将列向量归一化
array_weight = array_power / np.sum(array_power... | code_fim | hard | {
"lang": "python",
"repo": "dantefung/Python-Codebase",
"path": "/study_sample/ahp/ahp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>: Python :: 2.7',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: Implementation :: CPython',
]
)<|fim_prefix|>... | code_fim | hard | {
"lang": "python",
"repo": "bwalkowi/pytest-xvfb-recorder",
"path": "/setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bwalkowi/pytest-xvfb-recorder path: /setup.py
from setuptools import setup
setup(
name='pytest-xvfb-recorder',
version='0.1.0',
description='pytest plugin allowing starting and recording xvfb session using ffmpeg',
long_description=open('README.rst').read(),
author='bwalkowi... | code_fim | hard | {
"lang": "python",
"repo": "bwalkowi/pytest-xvfb-recorder",
"path": "/setup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> classifiers=[
'Development Status :: 3 - Alpha',
'License :: OSI Approved :: MIT License',
'Framework :: Pytest',
'Intended Audience :: Developers',
'Operating System :: POSIX',
'Programming Language :: Python',
'Programming Language :: Python :: 2.... | code_fim | hard | {
"lang": "python",
"repo": "bwalkowi/pytest-xvfb-recorder",
"path": "/setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
seq = spl[spl_end]
assert not seq.isdigit(),"error: this .sequences file has an odd format"
output.write(">%s\n%s\n" % (unitig_id,seq))
output.close()<|fim_prefix|># repo: ekimb/rust-mdbg path: /utils/sequences_file_to_fasta.py
import sys
if len(sys.argv) < 3 or ".fa" not in sys.argv[2] or "... | code_fim | medium | {
"lang": "python",
"repo": "ekimb/rust-mdbg",
"path": "/utils/sequences_file_to_fasta.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ekimb/rust-mdbg path: /utils/sequences_file_to_fasta.py
import sys
if len(sys.argv) < 3 or ".fa" not in sys.argv[2] or ".sequences" not in sys.argv[1]:
exit("input: [final.sequences] [final.fasta]\n will take the sequences column and put it in fasta format, that's all\n")
output = open(sys.a... | code_fim | medium | {
"lang": "python",
"repo": "ekimb/rust-mdbg",
"path": "/utils/sequences_file_to_fasta.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>inue
spl = line.split()
unitig_id = spl[0]
spl_end = -5
minims = tuple(map(lambda x: int(x.strip('[').strip(']').replace(',','')),spl[1:spl_end]))
seq = spl[spl_end]
assert not seq.isdigit(),"error: this .sequences file has an odd format"
output.write(">%s\n%s\n" % (unitig_id,... | code_fim | medium | {
"lang": "python",
"repo": "ekimb/rust-mdbg",
"path": "/utils/sequences_file_to_fasta.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>64, FileManager, click, submit, display_gif<|fim_prefix|># repo: clasp-developers/cl-nglview path: /nglview/utils/__init__.py
from __future__ import absolute_import
from . import widget_utils, js_utils, py_uti<|fim_middle|>ls
from .py_utils import get_colors_from_b | code_fim | easy | {
"lang": "python",
"repo": "clasp-developers/cl-nglview",
"path": "/nglview/utils/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: clasp-developers/cl-nglview path: /nglview/utils/__init__.py
from __future__ import absolute_import
fr<|fim_suffix|>64, FileManager, click, submit, display_gif<|fim_middle|>om . import widget_utils, js_utils, py_utils
from .py_utils import get_colors_from_b | code_fim | medium | {
"lang": "python",
"repo": "clasp-developers/cl-nglview",
"path": "/nglview/utils/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if fbus.clear:
nvacant.next = N
ntenant.next = 0
else:
v = int(nvacant)
f = int(ntenant)
if fbus.read_valid:
v = v + 1
f = f - 1
if fbus.write:
v = v -1
... | code_fim | hard | {
"lang": "python",
"repo": "Vikram9866/rhea",
"path": "/rhea/cores/fifo/fifo_sync.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Vikram9866/rhea path: /rhea/cores/fifo/fifo_sync.py
# Copyright (c) 2014 Christopher L. Felton
#
from math import log, fmod, ceil
from myhdl import Signal, intbv, modbv, always_comb, always_seq, block
from rhea.system import FIFOBus
from .fifo_mem import fifo_mem_generic
@block
def fifo_sync(... | code_fim | hard | {
"lang": "python",
"repo": "Vikram9866/rhea",
"path": "/rhea/cores/fifo/fifo_sync.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @always_comb
def beh_assign():
fbus.read_valid.next = vld & fbus.read
nvacant = Signal(intbv(N, min=-0, max=N+1)) # # empty slots
ntenant = Signal(intbv(0, min=-0, max=N+1)) # # filled slots
@always_seq(clock.posedge, reset=reset)
def dbg_occupancy()... | code_fim | hard | {
"lang": "python",
"repo": "Vikram9866/rhea",
"path": "/rhea/cores/fifo/fifo_sync.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> recommendation_description = models.CharField(max_length=250)<|fim_prefix|># repo: ristovao/2017.2-Receituario-Medico path: /medical_prescription/recommendation/models/newrecommendation.py
# Django
from django.db import models
# Local Django
<|fim_middle|>class NewRecommendation(models.Model):
| code_fim | easy | {
"lang": "python",
"repo": "ristovao/2017.2-Receituario-Medico",
"path": "/medical_prescription/recommendation/models/newrecommendation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ristovao/2017.2-Receituario-Medico path: /medical_prescription/recommendation/models/newrecommendation.py
# Django
from django.db import models
<|fim_suffix|> recommendation_description = models.CharField(max_length=250)<|fim_middle|># Local Django
class NewRecommendation(models.Model):
| code_fim | easy | {
"lang": "python",
"repo": "ristovao/2017.2-Receituario-Medico",
"path": "/medical_prescription/recommendation/models/newrecommendation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akira-okumura/ISEE_SiPM path: /old_script/measurement/Initialise.py
import target_driver
import target_io
import time
def Initialise(board):
for asic in range(0, 4):
board.WriteASICSetting("SSPinLE_Delay", asic, 0x2e)
board.WriteASICSetting("SSPinTE_Delay",... | code_fim | hard | {
"lang": "python",
"repo": "akira-okumura/ISEE_SiPM",
"path": "/old_script/measurement/Initialise.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
board.WriteRegister(0x33, 0x00180000)
board.WriteRegister(0x33, 0x80180000)
board.WriteRegister(0x33, 0x00100000)
board.WriteSetting("Start_TimeBase", 0x1)
time.sleep(0.1)
for asic in range(0, 4):
board.WriteASICSetting("Vqbuff", asic, 0x426)
board.... | code_fim | hard | {
"lang": "python",
"repo": "akira-okumura/ISEE_SiPM",
"path": "/old_script/measurement/Initialise.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #for innerloop in range(outerloop, outerloop + rangelength):
for innerloop in range(0, rangelength):
# Build up average pixel intensities, casting each image as an array of floats
im = imlist[outerloop + innerloop]
complete += 1
filename = frames_in_dir + "\\" + im
status = ... | code_fim | hard | {
"lang": "python",
"repo": "wasoxygen/video_smoother",
"path": "/smooth.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>for outerloop in range(0, len(imlist) - rangelength):
#for outerloop in range(0, 4):
# Create a numpy array of floats to store the average (assume RGB images)
arr=numpy.zeros((h,w,3),numpy.float)
#for innerloop in range(outerloop, outerloop + rangelength):
for innerloop in range(0, rangelength... | code_fim | hard | {
"lang": "python",
"repo": "wasoxygen/video_smoother",
"path": "/smooth.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wasoxygen/video_smoother path: /smooth.py
import os, numpy, PIL, time
from PIL import Image
#11:56 AM 9/12/2020
t1 = time.perf_counter()
#scene00001.png to scene01616.png
frames_in_dir = r"C:\Users\Steve\Videos\smooth\Shibuya_LlSPOnQw86A\frames_in"
frames_out_dir = r"C:\Users\Steve\Videos\smo... | code_fim | medium | {
"lang": "python",
"repo": "wasoxygen/video_smoother",
"path": "/smooth.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> client.playlist_activate_previous()
assert client.get_active_playlist() == 1
def test_foobar_properties(client):
version = client.get_version()
version_string = client.get_version_string()
name = client.get_name()
version_text = client.get_version_as_text()
# Can't make any ... | code_fim | hard | {
"lang": "python",
"repo": "PCManticore/foo_rpc",
"path": "/tests/test_api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PCManticore/foo_rpc path: /tests/test_api.py
dex'] == 0
missing = client.playlist_get_item_handle(
new_playlist_with_items.index,
len(new_playlist_with_items.files) + 1)
assert not missing
def test_activeplaylist_get_item_handle(client, active_playlist_with_item):
h... | code_fim | hard | {
"lang": "python",
"repo": "PCManticore/foo_rpc",
"path": "/tests/test_api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PCManticore/foo_rpc path: /tests/test_api.py
quest.addfinalizer(lambda: client.stop())
# Foobar needs time for getting the file and starting the actual playback.
time.sleep(0.5)
is_playing, now_playing = client.get_now_playing()
assert is_playing
now_playing_formatted = di... | code_fim | hard | {
"lang": "python",
"repo": "PCManticore/foo_rpc",
"path": "/tests/test_api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TrendingTechnology/MLServer path: /runtimes/mlflow/mlserver_mlflow/encoding.py
import numpy as np
from typing import Dict, List, Union
from mlserver.codecs import NumpyCodec
from mlserver.types import ResponseOutput
DefaultOutputName = "predict"
TensorDict = Dict[str, np.ndarray]
MLflowPayload... | code_fim | medium | {
"lang": "python",
"repo": "TrendingTechnology/MLServer",
"path": "/runtimes/mlflow/mlserver_mlflow/encoding.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> codec = NumpyCodec()
if type(mlflow_payload) is np.ndarray:
# Cast to dict of tensors
mlflow_payload = {DefaultOutputName: mlflow_payload} # type: ignore
return [
codec.encode(key, value)
for key, value in mlflow_payload.items() # type: ignore
]<|fim_pre... | code_fim | medium | {
"lang": "python",
"repo": "TrendingTechnology/MLServer",
"path": "/runtimes/mlflow/mlserver_mlflow/encoding.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: orestis46/Netconf-Restconf path: /Netconf/nornir_netconf_scrapli_netconf_cisco_devices.py
# Nornir Modules
from nornir import InitNornir
from nornir_scrapli.tasks import netconf, netconf_get, netconf_get_config, netconf_edit_config, netconf_lock, netconf_unlock, netconf_commit
from nornir_netconf... | code_fim | hard | {
"lang": "python",
"repo": "orestis46/Netconf-Restconf",
"path": "/Netconf/nornir_netconf_scrapli_netconf_cisco_devices.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> task.run(task=netconf_get_config, source="running",
filter=("subtree", filtro))
print("="*40)
print("\n")
print(f"\n\n********** {task.host.hostname} **********\n\n")
print("="*40)
if __name__ == "__main__":
main()<|fim_prefix|># repo: orestis46/Netconf-Restconf pat... | code_fim | hard | {
"lang": "python",
"repo": "orestis46/Netconf-Restconf",
"path": "/Netconf/nornir_netconf_scrapli_netconf_cisco_devices.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eigenomarksamy/audibot path: /audibot_control/scripts/twistlot_blue_audi.py
#! /usr/bin/env python
import rospy
from std_msgs.msg import Float64
from geometry_msgs.msg import Twist
max_speed = 3.6 #TODO: Find the actual maximum speed
aucmd_topic = '/blue/cmd_vel'
thrtl_topic = '/blue/throttle... | code_fim | hard | {
"lang": "python",
"repo": "eigenomarksamy/audibot",
"path": "/audibot_control/scripts/twistlot_blue_audi.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> rospy.init_node('twist_blue_audi', anonymous=True)
rospy.Subscriber(aucmd_topic, Twist, twist_callback)
thrtl_pub.publish(Float64(0.0))
brake_pub.publish(Float64(0.0))
rospy.spin()
if __name__ == '__main__':
try:
twist_lot_control()
except rospy.ROSInterruptException:
pass<|fim_prefix|># repo... | code_fim | hard | {
"lang": "python",
"repo": "eigenomarksamy/audibot",
"path": "/audibot_control/scripts/twistlot_blue_audi.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def execute(self, query: str, data: str = None):
try:
if data:
self.cur.execute(query, data)
else:
self.cur.execute(query)
self.conn.commit()
except Exception as ex:
print(ex)
return self.cur.fetch... | code_fim | hard | {
"lang": "python",
"repo": "mrubio-chavarria/fetchers-python",
"path": "/src/adapters/sqlite.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mrubio-chavarria/fetchers-python path: /src/adapters/sqlite.py
import logging
import sqlite3
import pandas as pd
from datetime import datetime
__all__ = ('SqliteHelper',)
from utils.adapter_abstract import AbstractAdapter
logger = logging.getLogger(__name__)
sql_create_epidemiology_table = ""... | code_fim | hard | {
"lang": "python",
"repo": "mrubio-chavarria/fetchers-python",
"path": "/src/adapters/sqlite.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> content_offset, block_text, state, state_machine):
obj_name = arguments[0]
obj = resolve_name(obj_name)
rst = ViewList()
rst.append(obj.__doc__, '<docstring>')
print "CALLED", obj_name, obj, rst
node = nodes.section()
surrounding_title_styles = state.mem... | code_fim | medium | {
"lang": "python",
"repo": "oyorooms/hue",
"path": "/desktop/core/ext-py/nose-1.3.7/doc/docstring.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: oyorooms/hue path: /desktop/core/ext-py/nose-1.3.7/doc/docstring.py
from docutils import nodes
from docutils.statemachine import ViewList
from nose.util import resolve_name
<|fim_suffix|> content_offset, block_text, state, state_machine):
obj_name = arguments[0]
ob... | code_fim | medium | {
"lang": "python",
"repo": "oyorooms/hue",
"path": "/desktop/core/ext-py/nose-1.3.7/doc/docstring.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HuiSiqi/e2c-pytorch path: /e2c/tf_e2c/viz_results.py
"""
Quick-and-dirty visualization scripts for a variety of tasks.
"""
import sequential_e2c as e2c
#import e2c_plane_z as e2c
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
from data.plane_data2 import PlaneDat... | code_fim | hard | {
"lang": "python",
"repo": "HuiSiqi/e2c-pytorch",
"path": "/e2c/tf_e2c/viz_results.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def show_recons_seq(sess, ckptfile):
e2c.saver.restore(sess, ckptfile) # restore variable values
dataset = PlaneData("data/plane1.npz", "data/env1.png")
dataset.initialize()
T = e2c.T
print(T)
(x_vals, u_vals) = dataset.sample_seq(e2c.batch_size, T)
feed_dict = {}
for t in... | code_fim | hard | {
"lang": "python",
"repo": "HuiSiqi/e2c-pytorch",
"path": "/e2c/tf_e2c/viz_results.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> d = 100 # interval
for i in range(int(1e5) // d):
f = "%s-%05d" % (cpktprefix, i * d)
ckptfile = f + ".ckpt"
print(ckptfile)
fig = viz_z(sess, ckptfile)
fig.suptitle('%d' % (i * d))
fig.savefig(f + ".png")
# combine with convert -delay 10 -l... | code_fim | hard | {
"lang": "python",
"repo": "HuiSiqi/e2c-pytorch",
"path": "/e2c/tf_e2c/viz_results.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# empty call
assert(pgbadger.get_pgbadger_reports(None,empty_app))
def test_get_pgbadger_report_last():
# empty call
pgbadger.get_pgbadger_report_last(None,empty_app)
def test_get_pgbadger_report_last_html():
# empty call
pgbadger.get_pgbadger_report_last_html(None,empty_app)
... | code_fim | hard | {
"lang": "python",
"repo": "daamien/temboard-agent-pgbadger",
"path": "/tests/unit/test_class.py",
"mode": "spm",
"license": "PostgreSQL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daamien/temboard-agent-pgbadger path: /tests/unit/test_class.py
from temboardagent.errors import UserError
from temboardagent.cli import Application
from temboardagent.scheduler import taskmanager
from temboardagent.scripts.agent import WorkerPoolService
from temboardagent.scripts.agent import S... | code_fim | hard | {
"lang": "python",
"repo": "daamien/temboard-agent-pgbadger",
"path": "/tests/unit/test_class.py",
"mode": "psm",
"license": "PostgreSQL",
"source": "the-stack-v2"
} |
<|fim_suffix|>ception, ex:
return ex.args[0]<|fim_prefix|># repo: kykrueger/openbis path: /openbis/sourceTest/java/ch/systemsx/cisd/openbis/systemtest/server/CommonServerTestResources/sample_adaptor_test__container.py
def validate(sample, isNew):
try:<|fim_middle|>
assertEntity(sample.container(), ... | code_fim | medium | {
"lang": "python",
"repo": "kykrueger/openbis",
"path": "/openbis/sourceTest/java/ch/systemsx/cisd/openbis/systemtest/server/CommonServerTestResources/sample_adaptor_test__container.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kykrueger/openbis path: /openbis/sourceTest/java/ch/systemsx/cisd/openbis/systemtest/server/CommonServerTestResources/sample_adaptor_test__container.py
def validate(sample, isNew):
try:
assertEntity(sample.container<|fim_suffix|>ception, ex:
return ex.args[0]<|fim_middle|>(), ... | code_fim | easy | {
"lang": "python",
"repo": "kykrueger/openbis",
"path": "/openbis/sourceTest/java/ch/systemsx/cisd/openbis/systemtest/server/CommonServerTestResources/sample_adaptor_test__container.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _create_version(self, global_step):
return "inc-{:.>20}".format(global_step)
class HashIncreaser(object):
def increase(self, inc_version):
execute(self.increase_op(inc_version))
def increase_op(self, inc_version):
return xdl.ps_streaming_trigger_hash_op(_string_to... | code_fim | hard | {
"lang": "python",
"repo": "laozhuang727/x-deeplearning",
"path": "/xdl/xdl/python/training/increaser.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: laozhuang727/x-deeplearning path: /xdl/xdl/python/training/increaser.py
# Copyright 2018 Alibaba Group. 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 obtain a copy of the Licens... | code_fim | hard | {
"lang": "python",
"repo": "laozhuang727/x-deeplearning",
"path": "/xdl/xdl/python/training/increaser.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(0, dim[2]):
Ble[:, :, i] = k1*A[:, :, i].astype(float) + k2*B[:, :, i].astype(float)
#6
plt.figure
plt.imshow(Ble)<|fim_prefix|># repo: Tjccs/DRPI path: /Tp's/tp_2.py
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
from imageio import imr... | code_fim | hard | {
"lang": "python",
"repo": "Tjccs/DRPI",
"path": "/Tp's/tp_2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tjccs/DRPI path: /Tp's/tp_2.py
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
from imageio import imread, imwrite
import matplotlib.pyplot as plt
import numpy as np
import scipy.ndimage
Img = imread('Z:/DRPI/einstein01.tif')
<|fim_suffix|># 2
S1 ... | code_fim | hard | {
"lang": "python",
"repo": "Tjccs/DRPI",
"path": "/Tp's/tp_2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># 4
Reg = imread('Z:/DRPI/ferramentas_bin.tif')
Mult = Reg*S1[:, :, 0]
# 5
A = imread('Z:/DRPI/einstein01.tif')
B = imread('Z:/DRPI/marilyn01.tif')
k1 = 0.5
k2 = 0.5
Ble = A
dim = A.shape
for i in range(0, dim[2]):
Ble[:, :, i] = k1*A[:, :, i].astype(float) + k2*B[:, :, i].astype(float)... | code_fim | hard | {
"lang": "python",
"repo": "Tjccs/DRPI",
"path": "/Tp's/tp_2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dhruvsharma1999/data-structures-algorithms path: /trees/bstpy.py
#implementing Binary search tree in python3
#Node class
class Node:
"""Initiate the root node, with left and right child with value of None"""
def __init__(self, value=None):
self.value = value
self.left_chi... | code_fim | medium | {
"lang": "python",
"repo": "dhruvsharma1999/data-structures-algorithms",
"path": "/trees/bstpy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """a private function which insert a new node in the BST if the root is not none"""
if value < cur_node.value:
if cur_node.left_child == None:
cur_node.left_child = Node(value)
else:
self._insert(value, cur_node.left_child)
e... | code_fim | medium | {
"lang": "python",
"repo": "dhruvsharma1999/data-structures-algorithms",
"path": "/trees/bstpy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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