Python 3.7.0 (v3.7.0:1bf9cc5093, Jun 27 2018, 04:06:47) [MSC v.1914 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> import boto3
>>> import json
>>> import gzip
>>> import time
>>> from io import StringIO
>>> from base64 import b64decode
>>> import io
>>>
>>>
>>> orig_str = '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'
>>>
>>>
>>> print(b64decode(orig_str))
b'\x1f\x8b\x08\x00\x00\x00\x00\x00\x00\x00\xbd\xd4\xddk\xdb0\x10\x00\xf0\x7fE\xe896\xf7!\x9d\xa4\xbe\x85,\xed\xc3\x18+$\xece\x94\x91\xa5J1\xe4\xc3\xd8n\xcb(\xfd\xdfwK\xd3\x92na\xa3\x9d\x93\x17s\xbe\x13\'\xff|\xb6\x1e\xec*\xb7\xed\xec&O\x7f\xd4\xd9\x9e\xd9\x0f\xc3\xe9\xf0\xdb\xa7\xf1d2\xbc\x18\xdb\x81\xdd\xdc\xafs\xa3i\x08.q\x82\xe8B\x12M/77\x17\xcd\xe6\xb6\xd6\xca\x97\xcbQq\xbe\xdc\xdc\x17\x9ak\x9fJ\x93\xae\xc9\xb3\x95\xd6\xf2\xba*\xc0\xc7\xc5"1\x07G\xd7\xe8(C1\x9b\xcfs\xdd\xe9\xd2\xf6\xf6{;o\xaa\xba\xab6\xeb\xf3j\xd9\xe5\xa6\xb5g_\xed]=/\x16\xdaQ;\x15\x8bm\x1a\xed\xd5\xb6\xf1\xf8.\xaf\xbb_k\x1elu\xad\xfd\xd9\x138\x9f\\\x00I\x8c\x00\xce1k\xe4\x99#9&\x94H\xac\x97Hz\x1bQ\x82\x06\x12]\x04\xdd\xbb\xab\xd4\xdd\xcdVJ#\x1f\xa2h\x85\x1c\x00\x0c\x9e\xdf\x87\xb6\'\xb3\xcf6\x075\x06QJ\x91\x12\x05K1\x18\xa8d,1\x96\xe8\xd9 \xb1q#\x124o\xd0\x04\xad\xbfl\xf5\x12F6\xc3\xd1h|95\x9f?\xda\xc7\xc1\xff\xc9\xb0W\xd9k\xcc\xbes\xa7R\xdf\xa9d\xd4\xab\x0c\xb8\x0cR:(\x9f\x08\xbf\x0f\xcd\x13\xa7\xd3\xd1\xf8\x88C{\x05\xdd\xb1\xde=5\x01 \x0e\x1e}D\x16I\x14#\x04J\xe41$\xcd\xe8cH\x10\xa7\xaa\x94\x12\t\xb0\xb8\xe8\x0e\xd2b\xa0\xfei>\xe0!\x9a\xee\xf5\x1c&\xea\x93\xe6{\xa5\xfd\xfd\x10\xf1\x89\xc2\x1f\x87\xc8\xd1d\xd2\xab\xec\x9f\xbf\xdavp\'\xa2\x85#~\x8f\xfb#\xdc\r\xec-\x9f\xe3\xd5\xe3O\x023i\x00\x8b\x07\x00\x00'
>>>
>>>
The output was on bytes, while I wanted this to be the text/string; should look something like this,
2 074939084796 eni-0d882207508141cd4 432.150.28.36 352.67.89.12 123 52782 17 1 76 1578627847 1578627896 ACCEPT OK
Related
I don't quite understand why no results are returned when the value is empty. Is there a way to get the key value pair when the value is empty? Thanks.
>>> urllib.parse.parse_qsl('a=b')
[('a', 'b')]
>>> urllib.parse.parse_qsl('a=')
[]
You can use keep_blank_values parameter. By the way, what version of python are you using. This is what I get when I use the keep_blank_values. By default it is set to False. And I use python version 3.8.2
Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from urllib.parse import parse_qsl
>>> parse_qsl('a=b')
[('a', 'b')]
>>> parse_qsl('a=')
[]
>>> parse_qsl('a=', keep_blank_values=True)
[('a', '')]
>>>
If my file name is 5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843_20200616T10_50_UTC.wav .. Output to be 5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843.wav . How can we trim the file name using python?
There are several ways to do, for instance
import os
l=os.path.splitext("5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843_20200616T10_50_UTC.wav")
l[0].split("_")[0] + l[1]
I use os.path.splitext to separate the possible extension
Execution with and without '_' and with and without extension :
pi#raspberrypi:~ $ python3
Python 3.7.3 (default, Dec 20 2019, 18:57:59)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>>
>>> def f(s):
... l = os.path.splitext(s)
... return l[0].split("_")[0] + l[1]
...
>>> f("5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843_20200616T10_50_UTC.wav")
'5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843.wav'
>>>
>>> f("5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843.wav")
'5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843.wav'
>>>
>>> f("5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843_20200616T10_50_UTC")
'5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843'
>>>
>>> f("5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843")
'5f0756fa-75bc-4c70-9ba8-fbd1b6a9f843'
>>>
I have a list of integers and I thought I could use np.searchsorted() to perform a binary search to look for the the closest integer. So, I tried,
Python 3.6.9 (default, Nov 7 2019, 10:44:02)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> B = [0, 36, 75, 111, 162, 198, 237, 273]
>>> np.searchsorted(B, 210)
6
>>> B[np.searchsorted(B, 210)]
237
Should the closest neighbour of 210 not be 198? Is there a native Python 3 library that does what I want? I could implement it myself but I am looking a fastest implementation.
I think np.argmin() is proper for your purpose.
Try this code.
import numpy as np
B = np.array([1,2,3,4,5])
criterion = 4
ind = np.argmin(np.abs(B - criterion)) # find the index i, where i'th element is the closest to criterion
print(B[ind])
I'm using python3 and i'm traing to bigram a sentence but the interpreter gives me a problem that i can't understand.
~$ python3
Python 3.6.9 (default, Nov 7 2019, 10:44:02)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import nltk
>>> from nltk import word_tokenize
>>> from nltk.util import ngrams
>>> text = "Hi How are you? i am fine and you"
>>> token=nltk.word_tokenize(text)
>>> bigrams=ngrams(token,2)
>>> bigrams
<generator object ngrams at 0x7ff1d81d2468>
>>> print (bigrams)
<generator object ngrams at 0x7ff1d81d2468>
What does it means: "generator object ngrams at 0x7ff1d81d2468"?
Why I can neither inspect nor print n-grams?
Generator objects are iterable, but only once - see this answer. When print tries to display them, it shows their type rather than their actual 'items'. You can convert the generator object into a list using
>>> bigrams=list(ngrams(token,2))
and them print their items using
>>> print(bigrams)
as they are now a list object, so their items are printed instead of 'description' of them.
The following is a snippet from my Python 3.5 interpreter. I don't understand why this produces the error (Listed bellow). Any suggestions?
Python 3.5.3 (v3.5.3:1880cb95a742, Jan 16 2017, 16:02:32) [MSC v.1900 64
bit (AM
D64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, Tensorflow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))
Then it gives me just a list of internal Errors starting with:
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943]