This is the code I used. I found this code on https://github.com/openai/universe#breaking-down-the-example . As I'm getting error on remote manager so I have to copy this code to run it. But it still giving me error as below
import gym
import universe # register the universe environments
env = gym.make('flashgames.DuskDrive-v0')
env.configure(remotes=1) # automatically creates a local docker container
observation_n = env.reset()
while True:
action_n = [[('KeyEvent', 'ArrowUp', True)] for ob in observation_n] # your agent here
observation_n, reward_n, done_n, info = env.step(action_n)
env.render()
I'm getting this when try to run above script. I tried every possible way to solve it, but it still causing the same error. There is not even one thread about this. I don't know what to do now please tell me if anyone of you solved it.
I'm using Ubuntu 18.04 LTS on virtual box which is running on Windows 10
WARN: Environment '<class 'universe.wrappers.timer.Timer'>' has deprecated methods '_step' and '_reset' rather than 'step' and 'reset'. Compatibility code invoked. Set _gym_disable_underscore_compat = True to disable this behavior.
Traceback (most recent call last):
File "gymtest1.py", line 4, in <module>
env = gym.make("flashgames.CoasterRacer-v0")
File "/home/mystery/.local/lib/python3.6/site-packages/gym/envs/registration.py", line 167, in make
return registry.make(id)
File "/home/mystery/.local/lib/python3.6/site-packages/gym/envs/registration.py", line 125, in make
patch_deprecated_methods(env)
File "/home/mystery/.local/lib/python3.6/site-packages/gym/envs/registration.py", line 185, in patch_deprecated_methods
env.seed = env._seed
AttributeError: 'Timer' object has no attribute '_seed'
So I think what you need to do add a few lines in the Timer module because the code checks whether the code implements certain functions (_step, _reset, _seed, etc...)
So all you need to do (I think) is add at the end of the Timer class:
def _seed(self, seed_num=0): # this is so that you can get consistent results
pass # optionally, you could add: random.seed(random_num)
return
Related
I Have installed fasttext module in Python and loaded the model [ 'cc.en.300.bin'].
I already made the data frame format according to the fasttext. and then generating the files
train.to_csv(" ecomm.train",columns=['Category_description'], index= False, header= False)
test.to_csv("ecom.test", columns=['Category_description'], index= False, header= False)
the files created successfully! then when I run this code
import fasttext
mod= fasttext.train_supervised(input='ecomm.train')
I get this error:
Traceback (most recent call last):
File "/Users/rosie/Documents/ProGraMinG/Python/pythonProject/FastText/FastText_overview.py", line 97, in <module>
mod= fasttext.train_supervised(input='ecomm.train')
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/fasttext/FastText.py", line 533, in train_supervised
fasttext.train(ft.f, a)
ValueError: ecomm.train cannot be opened for training!
{ UPDATE } !!!
Used both isfile() and exists() functions to check if the file exists:
path = 'Users/rosie/Documents/ProGraMinG/Python/pythonProject/FastText/ecomm.train'
check_file = os.path.isfile(path)
print("isfile method ",check_file)
check_file = os.path.exists(path)
print("exists method ",check_file)
Both methods returns ' False '.
I also checked if the file is readable or not
doc= open(' ecomm.train', 'r')
print('checking if the file is readable', doc.readable())
However, it returned 'True', now I'm confused. As for the size of the ' ecomm.train', it is 29.4 MB
Are you sure the file is readable, at the simple (local) path 'ecomm.train', from your Python process, given its current local orking directory?
For example, try specifying the file as its full absolute path – on MacOS probably something like /Users/yourusername/yourdirectory/etc/etc/ecomm.train. If that works, the problem was that your Python code's effective directory wasn't what you expected.
Alternatively, if the process that wrote the file was in some way a different user than the later process trying to read it, there might be permission errors.
Totally separate from fasttext, you could check, from the same code that's about to try fasttext operations, if the file is readable (via either the local path, or the absolute path) using a recipe lie that in this other answer: https://stackoverflow.com/a/44213239/130288
Even if it fails, it might give a more-explanatory error.
I am trying to determine vendor + version (using python NAPALM and parallel-ssh) of network switches (Huawei VRP5/8, Cisco Catalyst and Cisco SMB (SF/SG):
admin#server:~$ python3
Python 3.8.10 (default, Nov 26 2021, 20:14:08)
[GCC 9.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from napalm import get_network_driver
>>> driver = get_network_driver('ios')
>>> device = driver('ip', 'username', 'password')
>>> device.open()
>>> print(device.get_facts())
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/altepro/.local/lib/python3.8/site-packages/napalm/ios/ios.py", line 811, in get_facts
show_ver = self._send_command('show version')
File "/home/altepro/.local/lib/python3.8/site-packages/napalm/ios/ios.py", line 165, in _send_command
output = self.device.send_command(command)
File "/home/altepro/.local/lib/python3.8/site-packages/netmiko/utilities.py", line 600, in wrapper_decorator
return func(self, *args, **kwargs)
File "/home/altepro/.local/lib/python3.8/site-packages/netmiko/base_connection.py", line 1694, in send_command
raise ReadTimeout(msg)
netmiko.exceptions.ReadTimeout:
Pattern not detected: '\x1b\\[Ksg300\\-ab\\-1\\#' in output.
Things you might try to fix this:
1. Explicitly set your pattern using the expect_string argument.
2. Increase the read_timeout to a larger value.
Where sg300-ab-1 is sysname of the switch (Cisco SMB - sg300 in this case, but i have tested this on several versions and types of the SMB lineup)
Things that i have tried:
Tried several version of netmiko, napalm (And its drivers including ios-350) and parallel-ssh. Tried several fresh linux servers with fresh install of napalm and parallel-ssh.
SSH is tested using the same server and credentials and it works without any problems.
When i use parallel-ssh the device doesnt even raise exception or timeout - it just goes stuck in the command:
output = client.run_command(cmd)
hosts = ['192.168.1.50']
client = ParallelSSHClient(hosts, user='my_user', password='my_pass')
cmd = 'show version'
output = client.run_command(cmd)
for host_out in output:
for line in host_out.stdout:
print(line)
Thanks for any kind of help !
It looks like the prompt isn't getting recognized properly. I'm not very familiar with either ParallelSSHClient or napalm, but I have worked with netmiko and that looks like where the error is. Here's some steps that can possible get you closer to figuring out what's happening. I suspect it's the prompt not being read correctly from the device.
Set up debugging and a netmiko session and run a simple command
import logging
import netmiko
logging.basicConfig(level=logging.DEBUG)
session = netmiko.ConnectHandler(
host='192.168.1.50',
username='my_user',
password='my_pass',
device_type='cisco_ios')
results = session.send_command('show version')
If this fails with the same error, then it's the prompt (possibly the \x1b escape character). Try again but with a simpler expect_string, like what's expected at the end of the prompt:
session.send_command('show version', expect_string="#")
If this gets you a result, then it's something about the how the prompt is being set for this device.
To see what's being found for the prompt:
session.find_prompt()
Edit:
Based on what you're reporting, the issue seems to be with the control code \x1b\[ being included in the prompt. It's possible this can be disabled on the device itself, but I'm unfamiliar with that platform. The napalm API doesn't expose netmiko's send_command method. It should still be fixable. This solution would be a hack to make things work, nothing that I'd recommend relying on.
Establish a class that will act as your fix. This will be instantiated with the netmiko session (device.device) and will be used to replace the send_command method.
class HackyFix:
def __init__(self, session):
self.session = session
self.original_send_command = session.send_command
def send_command(self, command):
original_prompt = self.session.find_prompt()
fixed_prompt = original_prompt.replace(r"\x1b[", "")
print(
f"send_command intercepted. {original_prompt} replaced with {fixed_prompt}"
)
return self.original_send_command(command, expect_string=fixed_prompt)
Then in your existing napalm code, add this right after device.open():
hackyfix = HackyFix(device.device)
device.device.send_command = hackyfix.send_command
Now all of napalm's calls to send_command will go through your custom fix that will find the prompt and modify it before passing it to expect_string.
Last edit.
It's an ANSI Escape Code that's being thrown in by the SG300. Specifically it's the one that clears from cursor to end of line. It's also a known issue with the SG300. The good news is that someone made a napalm driver to support it. One big difference between the SG300 driver and the IOS driver is the netmiko device_type is cisco_s300. When this device_type is used, strip_ansi_escape_codes is ran against the output.
Behavior of that escape code tested in bash:
$ printf "This gets cleared\r"; code="\x1b[K"; printf "${code}This is what you see\n"
This is what you see
You can validate that setting cisco_s300 as the device_type fixes the issue:
session = netmiko.ConnectHandler(
host='192.168.1.50',
username='my_user',
password='my_pass',
device_type='cisco_s300')
results = session.send_command('show version')
This should give a result with no modification to the expect_string value. If that works and you're looking to get results sooner or later, the following is a better fix than the hacky fix above.
from napalm.ios import IOSDriver
class QuickCiscoSG300Driver(IOSDriver):
def __init__(self, hostname, username, password, timeout=60, optional_args=None):
super().__init__(hostname, username, password, timeout, optional_args)
def open(self):
device_type = "cisco_s300"
self.device = self._netmiko_open(
device_type, netmiko_optional_args=self.netmiko_optional_args
)
device = QuickCiscoSG300Driver("192.168.1.50", "my_user", "my_pass")
device.open()
device.get_facts()
Or you can get the driver (better option, unless this happens to be the driver you already tried)
I have recently saved a model into s3 using joblib
model_doc is the model object
import subprocess
import joblib
save_d2v_to_s3_current_doc2vec_model(model_doc,"doc2vec_model")
def save_d2v_to_s3_current_doc2vec_model(model,fname):
model_name = fname
joblib.dump(model,model_name)
s3_base_path = 's3://sd-flikku/datalake/current_doc2vec_model'
path = s3_base_path+'/'+model_name
command = "aws s3 cp {} {}".format(model_name,path).split()
print('saving...'+model_name)
subprocess.call(command)
It was successful, but after that when i try to load the model back from s3 it gives me an error
model = load_d2v("doc2vec_model")
def load_d2v(fname):
model_name = fname
s3_base_path='s3://sd-flikku/datalake/current_doc2vec_model'
path = s3_base_path+'/'+model_name
command = "aws s3 cp {} {}".format(path,model_name).split()
print('loading...'+model_name)
subprocess.call(command)
model=joblib.load(model_name)
return model
This is the error i get:
loading...doc2vec_model
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<stdin>", line 7, in load_d2v
File "C:\Users\prane\AppData\Local\Programs\Python\Python37\lib\subprocess.py", line 339, in call
with Popen(*popenargs, **kwargs) as p:
File "C:\Users\prane\AppData\Local\Programs\Python\Python37\lib\subprocess.py", line 800, in __init__
restore_signals, start_new_session)
File "C:\Users\prane\AppData\Local\Programs\Python\Python37\lib\subprocess.py", line 1207, in _execute_child
startupinfo)
FileNotFoundError: [WinError 2] The system cannot find the file specified
I don't even understand why it is saying File not found, this was the path i used to save the model but now i'm unable to get the model back from s3. Please help me!!
I suggest that rather than your generic print() lines, showing your intent, you should print the actual command you've composed, to verify that it makes sense upon observation.
If it does, then also try that exact same aws ... command directly, at the command prompt where you had been launching your python code, to make sure it runs that way. If it doesn't, you may get a more clear error.
Note that the error you're getting doesn't particularly look like it's coming from the aws command, of from the S3 service - which might talk about 'paths' or 'objects'. Rather, it's from the Python subprocess system & Popen' call. I think those are via your call tosubprocess.call(), but for some reason your line-of-code isn't shown. (How are you running the block of code with theload_d2v()`?)
That suggests the file that's no found might be the aws command itself. Are you sure it's installed & runnable from the exact working-directory/environment that your Python is running in, and invoking via subprocess.call()?
(BTW, if my previous answer got you over your sklearn.externals.joblib problem, it'd be good for you to mark the answer as accepted, to save other potential answerers from thinking that's still an unsolved question that's blocking you.)
try to add extension of your model file to your fname if you are confident the model file is there.
e.g. doc2vec_model.h3
plotting under spyder 4 (and also after downgrading with 3) doesn't work. I am just doing:
data=[1,2,3]
plt.plot(data)
The output is a non-responding frame:
After forcing to close it, i get:
An error ocurred while starting the kernel
RROR:tornado.application:Exception in callback functools.partial(.advance_eventloop at 0x000001A802791318>)
Traceback (most recent call last):
File "path\anaconda3\lib\site‑packages\tornado\ioloop.py", line 743, in _run_callback
ret = callback()
File "path\anaconda3\lib\site‑packages\ipykernel\kernelbase.py", line 310, in advance_eventloop
eventloop(self)
File "path\anaconda3\lib\site‑packages\ipykernel\eventloops.py", line 232, in loop_tk
app.tk.createfilehandler(stream.getsockopt(zmq.FD), READABLE, notifier)
AttributeError: '_tkinter.tkapp' object has no attribute 'createfilehandler'
(where is replaced with path)
Any idea why?
(if relevant i am using windows, python3)
Edit
adding plt.show() alone doesn't make a difference to the output (still blank frame), but
thanks to Neven V. and other quests i added
root = tk.Tk()
def on_closing():
if messagebox.askokcancel("Quit", "Do you want to quit?"):
root.destroy()
root.protocol("WM_DELETE_WINDOW", on_closing)
root.mainloop()
then i see a plot where the frame is responding. But after clicking on quit, the process do not quit and i have to restart the kernel (the mainloop is halting it but without it i get the result: no plot), thus i tried:
plt.show(block=False)
plt.pause(0.001) # Pause for interval seconds.
input("hit[enter] to end.")
plt.close('all') # all open plots are correctly closed after each run
and see a plot but it is non responding also after hitting enter.
I was using a standalone Python (3.8.3) within Spyder (IPython 7.15.0), but it resolved when I reverted to the conda installation (Python 3.6.8, IPython 7.6.0). I'm not sure that helps though!
so I installed neo4j on ArchLinux (AUR Link) and want to test it using python 3.2.
I am using python 3.2, Eclipse with Pydev.
I tried following code from the neo4j website, allthough I think it was still 2.7 python code and I tried to convert it to Python 3.2 code.
Here's the code:
import os
libpath = '/usr/share/java/neo4j'
os.environ['CLASSPATH'] = ';'.join( [ os.path.abspath(p) for p in
os.listdir(libpath)])
from neo4j import GraphDatabase
# Create a database
db = GraphDatabase('/home/USERNAME/.db/neo4j/HelloWorld')
# All write operations happen in a transaction
with db.transaction:
firstNode = db.node(name='Hello')
secondNode = db.node(name='world!')
# Create a relationship with type 'knows'
relationship = firstNode.knows(secondNode, name='graphy')
# Read operations can happen anywhere
message = ' '.join([firstNode['name'], relationship['name'], secondNode['name']])
print(message)
# Delete the data
with db.transaction:
firstNode.knows.single.delete()
firstNode.delete()
secondNode.delete()
# Always shut down your database when your application exits
db.shutdown()
But I get following error message:
Traceback (most recent call last):
File "/home/USERNAME/PATH/TO/src/neo4j-HelloWorld.py", line 12, in <module>
from neo4j import GraphDatabase
File "/usr/lib/python3.2/site-packages/neo4j_embedded-1.6-py3.2.egg/neo4j/__init__.py", line 29, in <module>
from neo4j.core import GraphDatabase, Direction, NotFoundException, BOTH, ANY, INCOMING, OUTGOING
File "/usr/lib/python3.2/site-packages/neo4j_embedded-1.6-py3.2.egg/neo4j/core.py", line 19, in <module>
from _backend import *
ImportError: No module named _backend
I just can't figure out what's wrong!
I tried to set the CLASSPATH as described here, but it doesn't change anything.
I would really appreciate any help!
Did you run the code through 2to3?
If not, I suggest you do.
I think the problem is that the relative import syntax changed in 3.x, see PEP328 for details.
e.g. the offending import in core.py should probably say from ._backend import *