smmap | A sliding memory map manager | Map library
kandi X-RAY | smmap Summary
kandi X-RAY | smmap Summary
Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. To allow processing large files even on 32 bit systems, it allows only portions of the file to be mapped. Once the user reads beyond the mapped region, smmap will automatically map the next required region, unloading unused regions using a LRU algorithm. Although the library can be used most efficiently with its native interface, a Buffer implementation is provided to hide these details behind a simple string-like interface. For performance critical 64 bit applications, a simplified version of memory mapping is provided which always maps the whole file, but still provides the benefit of unloading unused mappings on demand.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Removes all files that match the given base_path
- Close the MFD file
- File descriptor
- The path or file descriptor
- The file descriptor
smmap Key Features
smmap Examples and Code Snippets
Lines of Code : 2License : Permissive (BSD-3-Clause)
Copy$ pip install smmap
$ python setup.py install
Community Discussions
Trending Discussions on smmap
QUESTION
This is a specific instance of a general problem that I run into when updating packages using conda. I have an environment that is working great on machine A. I want to transfer it to machine B. But, machine A has GTX1080 gpus, and due to configuration I cannot control, requires cudatoolkit 10.2. Machine B has A100 gpus, and due to configuration I cannot control, requires cudatoolkit 11.1
I can easily export Machine A's environment to yml, and create a new environment on Machine B using that yml. However, I cannot seem to update cudatoolkit to 11.1 on that environment on Machine B. I try
...ANSWER
Answered 2021-Mar-22 at 03:02I'd venture the issue is that recreating from a YAML that includes versions and builds will establish those versions and builds as explicit specifications for that environment moving forward. That is, Conda will regard explicit specifications as hard requirements that it cannot mutate and so if even a single one of the dependencies of cudatoolkit also needs to be updated in order to use version 11, Conda will not know how to satisfy it without violating those previously specified constraints.
Specifically, this is what I see when searching (assuming linux-64 platform):
QUESTION
I am trying to recreate a conda environment.
From one environment I executed
conda list --export > req.txt
and now I am trying to recreate a new environment with the same packages using
conda create --name --file req.txt
I get the following error:
...ANSWER
Answered 2021-Mar-17 at 21:31The pypi in the build imply that these packages were all installed from PyPI, presumably using pip. The conda list --export does not capture pip-installed packages in a form that allows for recreating the environment. Instead, try dumping to a YAML, which will discriminate such packages and make it possible to recreate the environment:
QUESTION
There is a web page with a large piece of text on it.
I want to configure the state to perform a certain action if curl returns an error.
If the variable doesn't contain 'StatusDescription : OK'
How can I set up a check for a piece of text that is inside a variable
...ANSWER
Answered 2021-Mar-10 at 10:54I want to configure the state to perform a certain action if curl returns an error.
There is a Salt state called http which can query a URL and return the status. Using this (instead of curl) we can check for the status code(s) (200, 201, etc.), as well as matching text. Then we can use requisites to run subsequent states depending on the success/failure of the http.query.
Example:
I have added a check for status code of 200, you can omit - status: 200 if you don't care about the status code.
QUESTION
During the execution of the state, the manager "Chocolate" installs the package RealVNC (Program Files\Real VNC) Next, I create a key in the registry. I want the keys to be created only if the VNC installation was successful. I have tried
...ANSWER
Answered 2021-Feb-02 at 06:08The requisites that we mention, such as require, watch, etc. should be references to other states that are "scheduled" to run on the targets.
About watch
Even though the path is created by installing the "realvnc" package, there is no Salt state to handle the path. That is why it is showing the error.
Quoting from documentation for watch:
A
watchrequisite is used to add additional behavior when there are changes in other states.
So if you want to watch on a file, then there should be a state that "handles" the file using the file module.
About require
Also, while specifying require you are referring to pkg module, so Saltstack would look for pkg.installed for realvnc. Whereas you are using chocolatey.installed.
So with below modifications it should work fine.
QUESTION
I have exactly the same problem as mentioned in PIP install rasa-x takes forever. In the Rasa installation guide they say, you have to create an environment first. Everytime I do: conda create --name rasa python==3.7.6 it automatically downloads pip-20.3.3. If I now try the pip install --upgrade pip==20.2 command it shows the following error: Error. What did I do wrong? Thanks for the help!
**Update: python -m pip install --upgrade pip==20.2 worked, but now there is another problem when trying to install Rasa-X:Rasa-X installation error
here is the code
...ANSWER
Answered 2021-Jan-25 at 13:34I had this issue as well and for me installing pip packages with python -m pip install worked. So python -m pip install --upgrade pip==20.2 should work for you.
See here:
QUESTION
here is the part of the files that are important for this question:
...ANSWER
Answered 2020-Jul-21 at 20:31My compliments on such an extensive report. Your issue lies probably in this weird setup you've got going on.
QUESTION
I can see that this question has been asked before here tensorflow-has-no-attribute-compat
but the answer given was to
...ANSWER
Answered 2020-Jul-05 at 13:44This is usually caused by the broken TensorFlow-estimator module.
simply do a
QUESTION
I've spent half a day trying to figure it out on my own but now I've run out of ideas and googling requests.
So basically what I want is to connect to our Snowflake database using snowflake-connector-python package. I was able to install the package just fine (together with all the related packages that were installed automatically) and my current pip3 list results in this:
ANSWER
Answered 2020-Jun-30 at 15:16
AttributeError: module 'snowflake' has no attribute 'connector'
Your test code is likely in a file named snowflake.py which is causing a conflict in the import (it is ending up importing itself). Rename the file to some other name and it should allow you to import the right module and run the connector functions.
QUESTION
I am trying to install git-python on Windows. I tried to install it using the git command:
...ANSWER
Answered 2020-Jul-12 at 12:45As in issue 816, check your GIT_PYTHON_GIT_EXECUTABLE environment variable:
QUESTION
I am using anaconda as an environment manager for my code. When i installed anaconda and created the environments everything worked fine. But when i came back the next day and activated the environment i keep getting a ModuleNotFoundError
...ANSWER
Answered 2020-May-17 at 15:35This doesn't sound good: "When i installed python and anaconda i set both the installers to ADD TO PATH."
- Anaconda is a Python distribution. You need this one installer only.
- Don't add Anaconda's python.exe to the PATH. This is not how environments work.
- If you want to work with Anaconda, you need to activate at least the base environment using the 'conda' environment manager. This is how Python can find e.g. numpy's C-libraries.
- You can install Python from python.org in parallel to Anaconda, but this is asking for trouble.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install smmap
You can use smmap 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.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
