dill | serialize all of python | REST library
kandi X-RAY | dill Summary
kandi X-RAY | dill Summary
`dill` extends python’s `pickle` module for serializing and de-serializing python objects to the majority of the built-in python types. Serialization is the process of converting an object to a byte stream, and the inverse of which is converting a byte stream back to a python object hierarchy. `dill` provides the user the same interface as the `pickle` module, and also includes some additional features. In addition to pickling python objects, `dill` provides the ability to save the state of an interpreter session in a single command. Hence, it would be feasible to save an interpreter session, close the interpreter, ship the pickled file to another computer, open a new interpreter, unpickle the session and thus continue from the saved state of the original interpreter session. `dill` can be used to store python objects to a file, but the primary usage is to send python objects across the network as a byte stream. `dill` is quite flexible, and allows arbitrary user defined classes and functions to be serialized. Thus `dill` is not intended to be secure against erroneously or maliciously constructed data. It is left to the user to decide whether the data they unpickle is from a trustworthy source. `dill` is part of `pathos`, a python framework for heterogeneous computing. `dill` is in active development, so any user feedback, bug reports, comments, or suggestions are highly appreciated. A list of issues is located at with a legacy list maintained at
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Top functions reviewed by kandi - BETA
- Finds the source file for an object .
- Create a file handle .
- Returns the source code for an object .
- Returns true if the object can be imported .
- Returns true if the given object is changed .
- Returns a list of inline blocks of the given object .
- assumes alias is not available
- Saves a function .
- save type to pickler
- Get the global variables for this function .
dill Key Features
dill Examples and Code Snippets
Lines of Code : 469
License : No License
Copy# Set up logging; The basic log level will be DEBUG
import logging
logging.basicConfig(level=logging.DEBUG)
# Set transitions' log level to INFO; DEBUG messages will be omitted
logging.getLogger('transitions').setLevel(logging.INFO)
# Business as us [listeners]
port_min = 1024
port_max = 49151
[listeners.allowed]
local = "127.0.0.1"
any = "0.0.0.0"
[consul]
address = "http://127.0.0.1:8500"
[peek]
listener = "127.0.0.1:4141"
[runtime]
gomaxprocs = 4
listeners:
port_min: 1024
port_max: [listeners.allowed]
internal = "192.168.10.10"
public = "12.42.22.65"
$ nc 127.0.0.1 2323
0.0.0.0:4444
├ round_robin
├──➤ 192.168.10.17:1234
├──➤ 192.168.10.23:2042
0.0.0.0:8088
├ round_robin
├──➤ 192.168.10.11:5728
├──➤ 192.168.65.87:59 def __init__(self,
fn,
cluster_spec,
rpc_layer=None,
max_run_time=None,
grpc_fail_fast=None,
stream_output=True,
return_output=False,
# Limit x-axis to 00:00 - 23:59 range
plot1.set_xlim([datetime.date(2022,3,6), datetime.date(2022,3,7)])
import pickle
class Foo:
x = "Cannot be pickled"
def __init__(self, a):
self.a = a
@classmethod
def foo_class_method(cls):
cls.x = "can be pickled"
hello = Foo(a = 10)
Foo.foo_class_method()├── WebApp/
│ └── app.py
└── Untitled.ipynb
from WebApp.app import GensimWord2VecVectorizer
GensimWord2VecVectorizer.__module__ = 'app'
import sys
sys.modules['app'] = sys.modules['WebApp.app']
cls._instance[cls] = cls
cls._instance[cls] = _instance
def __init__(self, some_list = []):
def __init__(self, some_list = None):
if sodef is_picklable(obj: Any) -> bool:
try:
pickle.dumps(obj)
return True
except (pickle.PicklingError, pickle.PickleError, AttributeError, ImportError):
# https://docs.python.org/3/library/pickle.html#what-def function_maker(start, end):
def function(x):
return x[:, start:end]
return function
class Slicer:
def __init__(self, start, end):
self.start = start
self.end = end
def __Community Discussions
Trending Discussions on dill
QUESTION
I am using Airflow 2.0 and have installed the slack module through requirements.txt in MWAA. I have installed all the below packages, but still, it says package not found
...ANSWER
Answered 2022-Apr-10 at 04:33By default, MWAA is constrained to using version 3.0.0 for the package apache-airflow-providers-slack. If you specify version 4.2.3 in requirements.txt, it will not be installed (error logs should be available in CloudWatch). You'll have to downgrade to version 3.0.0.
apache-airflow-providers-slack (constraints.txt)
OR
Add constraints file to the top of requirements.txt to use version 4.2.3 of apache-airflow-providers-slack.
Add the constraints file for your Apache Airflow v2 environment to the top of your requirements.txt file.
QUESTION
I'm new to flutter and mobile development. I was working on the app and everything was working fine. After a few hours I try to run my app on the device and I get the following error:
...ANSWER
Answered 2022-Apr-02 at 11:01Clearing the temporary folder it will work
QUESTION
I noticed that, unlike in Sci-kit learn, the PySpark implementation for CountVectorizer uses the socket library and so I'm unable to pickle it.
Is there any way around this or another way to persist the vectorizer? I need the vectorized model because I take in input text data that I want to convert into the same kind of word vector as is used in the testing data.
I tried looking at the CountVectorizer source code and I couldn't see any obvious uses of the socket library.
Any ideas are appreciated, thanks!
Here's me trying to pickle the model:
...ANSWER
Answered 2022-Mar-24 at 17:32So I realized, instead of pickling, I can use vectorized_model.save() and CountVectorizerModel.load() to persist and retrieve the model.
QUESTION
I am following this "get started" tensorflow tutorial on how to run tfdv on apache beam on google cloud dataflow. My code is very similar to the one in the tutorial:
...ANSWER
Answered 2022-Mar-23 at 17:46Based on the name of the attribute NumExamplesStatsGenerator, it's a generator that is not pickle-able.
But I couldn't find the attribute from the module now. A search indicates that in 1.4.0 this module contains this attribute. So you may want to try a newer versioned TFDV.
PATH_TO_WHL_FILE indicates a file to stage/distribute to Dataflow for execution, so you can use a file on GCS.
QUESTION
I have a raspberry pi running some hardware, and continuously generating data. Each day, I collect the data in a pandas dataframe, and it shoots off a summary email. That email needs to contain a pretty chart showing the data over time. Testing on my main machine (latest MacOS) works beautifully. The pi, however, outputs blank charts. Axes, labels, colors, and everything but the plots themselves. Just an empty chart. Both machines are running matplotlib 3.5.1. Please help me figure out why the plots are not rendering on the one machine, but just fine on the other.
...ANSWER
Answered 2022-Mar-22 at 21:38This line:
QUESTION
I'm trying to select from a SQL query that gives me all the active employees and the terminated employees that's been terminated 30 days ago?
My table is tblEmpl and my estatus= 'A' is the employee status for active and 'T' for terminated
and the tdate = termdate
ANSWER
Answered 2022-Mar-16 at 03:13Your logic as described requires an OR of the estatuses, not an AND, but an AND with tdate and estatus 'T' e.g.
QUESTION
I have a dataset with two columns on_road and at_road, the combination of which make up a string called geocode_string. With this string, I wish to geocode these intersections using my google API key. As an example, I have on_road = Silverdale and at_road = W 28th St, which combine to form geocode_string = Silverdale and W 28th St, Cleveland, OH.
However, when I try and use the geocode function from ggmap, I get this message: "SILVERDALE and W ..." not uniquely geocoded, using "silverdale ave, cleveland, oh 44109, usa".
It seems in this case that R just assumes a location by default, in this case just silverdale ave. I would like to have R not do this- perhaps just to leave blank the locations for which a unique geocode cannot be found. I can then go through and manually find the coordinates for such cases. I just would like to flag the observations in some way.
I'd also like to point out that in the second row of the dataset, I get S MARGINAL RD and W 93RD ST , CLEVELAND , OH, an intersection that does not exist in Cleveland. When I paste that string into google maps, it seems to search for a partial match and gives me the coordinates for S Marginal Rd. Any thoughts why an intersection that does not exist would generate coordinates in this case, but not the Silverdale case described above? Is there any way to prevent this from happening?
I would greatly appreciate any help!
...ANSWER
Answered 2022-Mar-09 at 16:50I faced a similar problem. The best solution I could come up with was to alter the "geocode" function, that you can find at github here
I included two extra columns: column 'status': informs the number of matches per address. Therefore, you can easily spot where "not uniquely geocoded, using" happened. I also included column address2 to inform what is the second found address (in cases where status > 1).
I did that by including the following parts marked as 'new'
QUESTION
import pickle
class Foo:
x = "Cannot be pickled"
def __init__(self, a):
self.a = a
hello = Foo(a = 10)
with open("foo.pickle", "wb") as f:
pickle.dump(hello, f)
with open("foo.pickle", "rb") as f:
world = pickle.load(f)
print(f"world.a: {world.a}, world.x: {world.x}")
ANSWER
Answered 2022-Mar-03 at 18:51Save it as one.py
QUESTION
I have created a class for word2vec vectorisation which is working fine. But when I create a model pickle file and use that pickle file in a Flask App, I am getting an error like:
AttributeError: module
'__main__'has no attribute 'GensimWord2VecVectorizer'
I am creating the model on Google Colab.
Code in Jupyter Notebook:
...ANSWER
Answered 2022-Feb-24 at 11:48Import GensimWord2VecVectorizer in your Flask Web app python file.
QUESTION
ANSWER
Answered 2022-Feb-10 at 15:42Unfortunately the method 1 not working because not yet supported: https://github.com/huggingface/datasets/issues/761
Method 1.: You should use the
data_filesparameter of thedatasets.load_datasetfunction, and provide the path to your local datafile. See the documentation: https://huggingface.co/docs/datasets/package_reference/loading_methods.html#datasets.load_dataset
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dill
You can use dill like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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