pyinstrument | 🚴 Call stack profiler for Python Shows you why your code is slow! | Monitoring library

 by   joerick Python Version: 4.6.2 License: BSD-3-Clause

kandi X-RAY | pyinstrument Summary

kandi X-RAY | pyinstrument Summary

pyinstrument is a Python library typically used in Performance Management, Monitoring applications. pyinstrument has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install pyinstrument' or download it from GitHub, PyPI.

🚴 Call stack profiler for Python. Shows you why your code is slow!
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            kandi-support Support

              pyinstrument has a medium active ecosystem.
              It has 5341 star(s) with 226 fork(s). There are 55 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 17 open issues and 98 have been closed. On average issues are closed in 267 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyinstrument is 4.6.2

            kandi-Quality Quality

              pyinstrument has 0 bugs and 0 code smells.

            kandi-Security Security

              pyinstrument has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyinstrument code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyinstrument is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyinstrument releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              pyinstrument saves you 1353 person hours of effort in developing the same functionality from scratch.
              It has 4368 lines of code, 327 functions and 74 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyinstrument and discovered the below as its top functions. This is intended to give you an instant insight into pyinstrument implemented functionality, and help decide if they suit your requirements.
            • Decorates a function into a function
            • Create a function from a source template
            • Create a function definition
            • Update the attributes of this function
            • Say something
            • Print the message to file
            • Starts profiling
            • Bump the latest version
            • Appends a to the list of ancestors
            • Print to file
            • Return the text representation of the message
            • Mark a function as deprecated
            • Convert a function into a decorator
            • Render the profile
            • Render the application
            • Removes the first pyinstrument frame processor
            • Remove this node from the parent
            • Saves the report to a temp storage
            • Render the pipeline
            • Output the message as text
            • Render a Speedscope frame
            • Start profiling
            • Sample a frame
            • Record the received call stack
            • Generate a decorator function
            • Open the document in a browser
            • Start the sampler session
            • Profile a frame
            • Create a renderer instance
            • Resolve module
            Get all kandi verified functions for this library.

            pyinstrument Key Features

            No Key Features are available at this moment for pyinstrument.

            pyinstrument Examples and Code Snippets

            default
            C++dot img1Lines of Code : 27dot img1License : Permissive (MIT)
            copy iconCopy
               ├─ 4.703 backward  torch/tensor.py:74
               │     [10 frames hidden]  torch
               │        4.702 backward  torch/autograd/__init__.py:38
               │        ├─ 2.604 AddmmBackward (addmm:1)  ../:0
               │        │  └─ 2.499 mm:0  ../:0
               │        ├─ 1.019 AddmmBa  
            Plugin hooks-asgi_wrapper(datasette)
            Pythondot img2Lines of Code : 0dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            from datasette import hookimpl
            from functools import wraps
            @hookimpl
            def asgi_wrapper(datasette):
                def wrap_with_databases_header(app):
                    @wraps(app)
                    async def add_x_databases_header(
                        scope, receive, send
                    ):
                   
            pyinstrument - settings
            Pythondot img3Lines of Code : 51dot img3License : Non-SPDX (BSD 3-Clause "New" or "Revised" License)
            copy iconCopy
            import os
            
            BASE_DIR = os.path.dirname(os.path.dirname(__file__))
            
            DATABASES = {
                "default": {
                    "ENGINE": "django.db.backends.sqlite3",
                    "NAME": os.path.join(BASE_DIR, "db.sqlite3"),
                }
            }
            
            DEBUG = True
            TEMPLATE_DEBUG = True
            
            SECRET  
            pyinstrument - django template render
            Pythondot img4Lines of Code : 37dot img4License : Non-SPDX (BSD 3-Clause "New" or "Revised" License)
            copy iconCopy
            import os
            from optparse import OptionParser
            
            try:
                import django
            except ImportError:
                print("This example requires Django.")
                print("Install using `pip install Django`.")
                exit(1)
            
            import django.conf
            import django.template.loader
            
            
            def ma  
            pyinstrument - flask hello
            Pythondot img5Lines of Code : 33dot img5License : Non-SPDX (BSD 3-Clause "New" or "Revised" License)
            copy iconCopy
            import time
            
            from pyinstrument import Profiler
            
            try:
                from flask import Flask, g, make_response, request
            except ImportError:
                print("This example requires Flask.")
                print("Install using `pip install flask`.")
                exit(1)
            
            app = Flask(__name_  
            Slow dnf to cnf in pycosat
            Pythondot img6Lines of Code : 278dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # Uses pseudo-namespacing to avoid collisions.
            _EXT_SUFFIX = "___"
            _NEXT_EXT_INDEX = 0
            
            
            def is_ext_var(element) -> bool:
                return element.endswith(_EXT_SUFFIX)
            
            
            def ext_var() -> str:
                global _NEXT_EXT_INDEX
                ext_index = _NE
            anaconda_build tutorial fails on MacOS High Sierra: Library not loaded: libcrypto.1.0.0.dylib
            Pythondot img7Lines of Code : 2dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            conda install cryptography
            
            Opening the connection and getting response takes too much time
            Pythondot img8Lines of Code : 41dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install keepalive
            
            def get_all_genes_uri(endpoint, the_offset):
                sparql = SPARQLWrapper(endpoint)
                sparql.setUseKeepAlive() # <--- Added this line
                sparql.setQuery("""
                    #My_query
                """)
                

            Community Discussions

            QUESTION

            Slow dnf to cnf in pycosat
            Asked 2022-Mar-19 at 22:23

            Question in short

            To have a proper input for pycosat, is there a way to speed up calculation from dnf to cnf, or to circumvent it altogether?

            Question in detail

            I have been watching this video from Raymond Hettinger about modern solvers. I downloaded the code, and implemented a solver for the game Towers in it. Below I share the code to do so.

            Example Tower puzzle (solved):

            ...

            ANSWER

            Answered 2022-Mar-19 at 22:23

            First, it's good to note the difference between equivalence and equisatisfiability. In general, converting an arbitrary boolean formula (say, something in DNF) to CNF can result in a exponential blow-up in size.

            This blow-up is the issue with your from_dnf approach: whenever you handle another product term, each of the literals in that product demands a new copy of the current cnf clause set (to which it will add itself in every clause). If you have n product terms of size k, the growth is O(k^n).

            In your case n is actually a function of k!. What's kept as a product term is filtered to those satisfying the view constraint, but overall the runtime of your program is roughly in the region of O(k^f(k!)). Even if f grows logarithmically, this is still O(k^(k lg k)) and not quite ideal!

            Because you're asking "is this satisfiable?", you don't need an equivalent formula but merely an equisatisfiable one. This is some new formula that is satisfiable if and only if the original is, but which might not be satisfied by the same assignments.

            For example, (a ∨ b) and (a ∨ c) ∧ (¬b) are each obviously satisfiable, so they are equisatisfiable. But setting b true satisfies the first and falsifies the second, so they are not equivalent. Furthermore the first doesn't even have c as a variable, again making it not equivalent to the second.

            This relaxation is enough to replace this exponential blow-up with a linear-sized translation instead.

            The critical idea is the use of extension variables. These are fresh variables (i.e., not already present in the formula) that allow us to abbreviate expressions, so we don't end up making multiple copies of them in the translation. Since the new variable is not present in the original, we'll no longer have an equivalent formula; but because the variable will be true if and only if the expression is, it will be equisatisfiable.

            If we wanted to use x as an abbreviation of y, we'd state x ≡ y. This is the same as x → y and y → x, which is the same as (¬x ∨ y) ∧ (¬y ∨ x), which is already in CNF.

            Consider the abbreviation for a product term: x ≡ (a ∧ b). This is x → (a ∧ b) and (a ∧ b) → x, which works out to be three clauses: (¬x ∨ a) ∧ (¬x ∨ b) ∧ (¬a ∨ ¬b ∨ x). In general, abbreviating a product term of k literals with x will produce k binary clauses expressing that x implies each of them, and one (k+1)-clause expressing that all together they imply x. This is linear in k.

            To really see why this helps, try converting (a ∧ b ∧ c) ∨ (d ∧ e ∧ f) ∨ (g ∧ h ∧ i) to an equivalent CNF with and without an extension variable for the first product term. Of course, we won't just stop with one term: if we abbreviate each term then the result is precisely a single CNF clause: (x ∨ y ∨ z) where these each abbreviate a single product term. This is a lot smaller!

            This approach can be used to turn any circuit into an equisatisfiable formula, linear in size and in CNF. This is called a Tseitin transformation. Your DNF formula is simply a circuit composed of a bunch of arbitrary fan-in AND gates, all feeding into a single arbitrary fan-in OR gate.

            Best of all, although this formula is not equivalent due to additional variables, we can recover an assignment for the original formula by simply dropping the extension variables. It is sort of a 'best case' equisatisfiable formula, being a strict superset of the original.

            To patch this into your code, I added:

            Source https://stackoverflow.com/questions/71272506

            QUESTION

            Missing javascript dependency for python-pyinstrument
            Asked 2021-Aug-03 at 04:08

            I am trying to profile a python program with pyinstrument but it keeps throwing this error when trying to render the profile in html.

            ...

            ANSWER

            Answered 2021-Aug-03 at 04:08

            After doing a bit of searching, I found a github issue for pyinstrument with the exact same error, and it seems like they fixed it in an update (4.0.2). Try updating your pyinstrument version and let me know if it works!

            Note: If you do end up getting an error after upgrading to 4.0.2, in another github issue, the maintainer is working on a fix at the moment, so unfortunately either you'll have to find an earlier version that does work, or you'll have to wait for the developer to fix it.

            Source https://stackoverflow.com/questions/68538434

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pyinstrument

            <!-- MARK installation start -→. Pyinstrument supports Python 3.7+. <!-- MARK installation end -→.

            Support

            To learn how to use pyinstrument, or to check the reference, head to the [documentation](https://pyinstrument.readthedocs.io/).
            Find more information at:

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            Install
          • PyPI

            pip install pyinstrument

          • CLONE
          • HTTPS

            https://github.com/joerick/pyinstrument.git

          • CLI

            gh repo clone joerick/pyinstrument

          • sshUrl

            git@github.com:joerick/pyinstrument.git

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