PyHamcrest | Hamcrest matchers for Python

 by   hamcrest Python Version: 2.1.0 License: Non-SPDX

kandi X-RAY | PyHamcrest Summary

kandi X-RAY | PyHamcrest Summary

PyHamcrest is a Python library. PyHamcrest has no bugs, it has no vulnerabilities and it has low support. However PyHamcrest build file is not available and it has a Non-SPDX License. You can install using 'pip install PyHamcrest' or download it from GitHub, PyPI.

Hamcrest matchers for Python
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              PyHamcrest has a low active ecosystem.
              It has 703 star(s) with 103 fork(s). There are 24 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 19 open issues and 59 have been closed. On average issues are closed in 111 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of PyHamcrest is 2.1.0

            kandi-Quality Quality

              PyHamcrest has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              PyHamcrest has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              PyHamcrest releases are available to install and integrate.
              Deployable package is available in PyPI.
              PyHamcrest has no build file. You will be need to create the build yourself to build the component from source.
              PyHamcrest saves you 1689 person hours of effort in developing the same functionality from scratch.
              It has 3897 lines of code, 688 functions and 111 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed PyHamcrest and discovered the below as its top functions. This is intended to give you an instant insight into PyHamcrest implemented functionality, and help decide if they suit your requirements.
            • Creates a property description
            • Checks if a given property has a property
            • Creates a Matcher
            • Matcher
            • Tests if keys_valuation matches keys
            • Wrap a matcher
            • Matches an object s equal to obj
            • Create a boolean expression
            • Wrap a value or type
            • Raises an AssertionError if actual_or_assert
            • Describes a matched item
            • Matches substrings in order
            • Returns a matcher for equality
            • Matches the end of the string
            • Creates a regular expression that starts with a substring
            • Append a list to the description
            • Return True if item matches the pattern
            • Adds a description to the given description
            • Adds a description of a mismatch
            • Describes a match
            • Check if the mapping matches the filter
            • Check if a function matches a given function
            • Check if the key matches the given mapping
            • Returns True if the key matches the given dictionary
            • Check if the item matches the match
            • Describes the match function
            Get all kandi verified functions for this library.

            PyHamcrest Key Features

            No Key Features are available at this moment for PyHamcrest.

            PyHamcrest Examples and Code Snippets

            No Code Snippets are available at this moment for PyHamcrest.

            Community Discussions

            QUESTION

            No module named 'encodings' on OpenSuse
            Asked 2022-Mar-30 at 06:20

            A whole host of actions keep returning to this problem:

            pip install encodings

            Fatal Python error: Py_Initialize: Unable to get the locale encoding

            ModuleNotFoundError: No module named 'encodings'

            python3

            Fatal Python error: Py_Initialize: Unable to get the locale encoding

            ModuleNotFoundError: No module named 'encodings'

            libreoffice --safe-mode

            Fatal Python error: Py_Initialize: Unable to get the locale encoding

            ModuleNotFoundError: No module named 'encodings'

            zypper se python |grep '^i '

            ...

            ANSWER

            Answered 2022-Mar-30 at 06:20

            Looking at the strace output for both root and greg, the problem seems clear.

            For the root user, python 3.6 finds the libraries in /usr/lib64/python3.6.

            However, for greg, it only looks under /usr/bin/python3 for subdirectories. That doesn't work because /usr/bin/python3 is a file.

            I suspect that the user greg has PYTOHNHOME set erroneously to the location of the Python binary , and that is causing the issue.

            Remove PYTOHNHOME from your environment, log out and log in again.

            Note: the stuff below is probably barking up the wrong tree. I'll leave it for information.

            The encodings module is an (undocumented) part of the python standard library. It is used by the locale module.

            Based on the output I suspect that your Python installation has been damaged or corrupted. Try re-installing python.

            EDIT:

            If a forced re-install doesn't fix the problem, check that the directory encodings exist in your Python stdlib directory, and is accessible for all users.

            To find out which directory that is:

            Source https://stackoverflow.com/questions/71104698

            QUESTION

            Install Scrapy on Windows Server 2019, running in a Docker container
            Asked 2021-Apr-29 at 09:50

            I want to install Scrapy on Windows Server 2019, running in a Docker container (please see here and here for the history of my installation).

            On my local Windows 10 machine I can run my Scrapy commands like so in Windows PowerShell (after simply starting Docker Desktop): scrapy crawl myscraper -o allobjects.json in folder C:\scrapy\my1stscraper\

            For Windows Server as recommended here I first installed Anaconda following these steps: https://docs.scrapy.org/en/latest/intro/install.html.

            I then opened the Anaconda prompt and typed conda install -c conda-forge scrapy in D:\Programs

            ...

            ANSWER

            Answered 2021-Apr-27 at 15:14

            To run a containerised app, it must be installed in a container image first - you don't want to install any software on the host machine.

            For linux there are off-the-shelf container images for everything which is probably what your docker desktop environment was using; I see 1051 results on docker hub search for scrapy but none of them are windows containers.

            The full process of creating a windows container from scratch for an app is:

            • Get steps to manually install the app (scrapy and its dependencies) on Windows Server - ideally test in a virtualised environment so you can reset it cleanly
            • Convert all steps to a fully automatic powershell script (e.g. for conda, need to download the installer via wget, execute the installer etc.
            • Optionaly, test the powershell steps in an interactive container
              • docker run -it --isolation=process mcr.microsoft.com/windows/servercore:ltsc2019 powershell
              • This runs a windows container and gives you a shell to verify that your install script works
              • When you exit the shell the container is stopped
            • Create a Dockerfile
              • Use mcr.microsoft.com/windows/servercore:ltsc2019 as the base image via FROM
              • Use the RUN command for each line of your powershell script

            I tried installing scrapy on an existing windows Dockerfile that used conda / python 3.6, it threw error SettingsFrame has no attribute 'ENABLE_CONNECT_PROTOCOL' at a similar stage.

            However I tried again with miniconda and python 3.8, and was able to get scrapy running, here's the dockerfile:

            Source https://stackoverflow.com/questions/67239760

            QUESTION

            How to create a requirements.txt file in Django project?
            Asked 2021-Mar-18 at 01:12

            I have been trying to create a requirements.txt file from the Pycharm terminal but it is adding all unnecessary packages as well. What should I do to show only used packages? Thanks, requirements.txt:

            aiohttp==3.7.3 aioredis==1.3.1 alabaster==0.7.12 anaconda-client==1.7.2 anaconda-navigator==1.9.12 anaconda-project==0.8.3 appdirs==1.4.4 appnope==0.1.0 argh==0.26.2 asgiref==3.3.1 asn1crypto==1.3.0 astroid==2.4.2 astropy==4.0.1.post1 async-timeout==3.0.1 atomicwrites==1.4.0 attrs==19.1.0 autobahn==21.2.1 Automat==20.2.0 autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work Babel==2.8.0 backcall==0.1.0 backports.functools-lru-cache==1.6.1 backports.shutil-get-terminal-size==1.0.0 backports.tempfile==1.0 backports.weakref==1.0.post1 bcrypt==3.1.7 beautifulsoup4==4.9.1 bitarray @ file:///C:/ci/bitarray_1594751092677/work bkcharts==0.2 bleach==3.1.0 bokeh @ file:///C:/ci/bokeh_1593183652752/work boto==2.49.0 Bottleneck==1.3.2 brotlipy==0.7.0 bs4==0.0.1 certifi==2020.6.20 cffi==1.13.1 channels==3.0.3 channels-redis==3.2.0 chardet==3.0.4 cheroot==8.5.2 Click==7.0 cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work clyent==1.2.2 colorama==0.4.4 comtypes==1.1.7 conda==4.8.3 conda-build==3.18.11 conda-package-handling==1.7.0 conda-verify==3.4.2 constantly==15.1.0 contextlib2==0.6.0.post1 cryptography==3.4.6 cycler==0.10.0 Cython @ file:///C:/ci/cython_1594830140812/work cytoolz==0.10.1 daphne==3.0.1 dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work decorator==4.4.0 defusedxml==0.6.0 diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work distlib==0.3.1 distributed @ file:///C:/ci/distributed_1594747837674/work dj-database-url==0.5.0 dj-rest-auth==2.1.3 Django==3.1.5 django-admin-honeypot==1.1.0 django-allauth==0.44.0 django-bootstrap4==0.0.5 django-channels==0.7.0 django-crispy-forms==1.11.0 django-defender==0.8.0 django-heroku==0.3.1 django-honeypot==0.9.0 django-tastypie==0.14.3 djangorestframework==3.12.2 dnspython==1.15.0 docutils==0.16 entrypoints==0.3 et-xmlfile==1.0.1 Faker==0.8.13 fastcache==1.1.0 filelock==3.0.12 flake8==3.7.8 Flask==0.12.4 Flask-Bcrypt==0.7.1 Flask-Cors==3.0.3 Flask-JWT-Extended==3.7.0 Flask-Login==0.4.0 fsspec==0.7.4 future==0.18.2 gevent @ file:///C:/ci/gevent_1593010772244/work glob2==0.7 gmpy2==2.0.8 greenlet==0.4.16 gunicorn==20.0.4 h5py==2.10.0 HeapDict==1.0.1 hiredis==1.1.0 html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work hyperlink==21.0.0 idna @ file:///tmp/build/80754af9/idna_1593446292537/work imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work imagesize==1.2.0 importlib-metadata==0.23 incremental==17.5.0 intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work ipykernel==5.1.3 ipython==7.8.0 ipython-genutils==0.2.0 ipywidgets==7.5.1 isort==5.7.0 itsdangerous==1.1.0 jaraco.functools==3.1.0 jdcal==1.4.1 jedi==0.15.1 Jinja2==2.10.3 joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work json5==0.9.5 jsonschema==3.1.1 jupyter==1.0.0 jupyter-client==5.3.1 jupyter-console==6.0.0 jupyter-core==4.4.0 jupyterlab==2.1.5 jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work keyring @ file:///C:/ci/keyring_1593109210108/work kiwisolver==1.2.0 lazy-object-proxy==1.4.3 libarchive-c==2.9 llvmlite==0.32.1 locket==0.2.0 lxml @ file:///C:/ci/lxml_1594826940903/work MarkupSafe==1.1.1 matplotlib @ file:///C:/ci/matplotlib-base_1592844891112/work mccabe==0.6.1 menuinst==1.4.16 mistune==0.8.4 mkl-fft==1.1.0 mkl-random==1.1.1 mkl-service==2.3.0 mock==4.0.2 more-itertools==7.2.0 mpmath==1.1.0 msgpack==1.0.0 multidict==5.0.2 multipledispatch==0.6.0 navigator-updater==0.2.1 nbconvert==5.6.0 nbformat==4.4.0 networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work node==0.9.25 nose==1.3.7 notebook==6.0.1 numba==0.49.1 numexpr==2.7.1 numpy==1.18.5 numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work oauthlib==3.1.0 odict==1.7.0 olefile==0.46 openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work packaging==20.4 pandas @ file:///C:/ci/pandas_1592841744841/work pandocfilters==1.4.2 paramiko==2.7.1 parso==0.5.1 partd==1.1.0 path==13.1.0 pathlib2==2.3.5 pathtools==0.1.2 patsy==0.5.1 pep8==1.7.1 pexpect==4.7.0 pickleshare==0.7.5 Pillow @ file:///C:/ci/pillow_1594304973959/work pipenv==2020.11.15 pkginfo==1.5.0.1 pluggy==0.6.0 plumber==1.6 ply==3.11 prometheus-client==0.7.1 prompt-toolkit==2.0.10 psutil==5.7.0 psycopg2==2.8.6 ptyprocess==0.6.0 py==1.8.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.5.0 pycosat==0.6.3 pycparser==2.19 pycurl==7.43.0.5 pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work pyflakes==2.1.1 pygame==2.0.1 Pygments==2.4.2 PyHamcrest==2.0.2 PyJWT==1.7.1 pylint==2.6.0 pymongo==3.7.2 PyNaCl @ file:///C:/ci/pynacl_1595009196976/work pyodbc===4.0.0-unsupported pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work pyparsing==2.4.7 PyQt5==5.15.2 PyQt5-sip==12.8.1 pyreadline==2.1 pyrsistent==0.15.4 PySocks==1.7.1 pytest==3.3.0 pytest-flask==0.11.0 python-dateutil==2.8.0 python-decouple==3.4 python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work python-language-server @ file:///C:/ci/python-language-server_1594154480810/work python-mimeparse==1.6.0 python3-openid==3.2.0 pytz==2020.1 PyWavelets==1.1.1 pywin32==227 pywin32-ctypes==0.2.0 pywinpty==0.5.7 PyYAML==5.3.1 pyzmq @ file:///C:/Users/Rashidov/Desktop/mflix-python/pyzmq-22.0.3-cp38-cp38-win32.whl QDarkStyle==2.8.1 QtAwesome==0.7.2 qtconsole==4.5.5 QtPy==1.9.0 redis==3.5.3 regex @ file:///C:/ci/regex_1593435678736/work requests @ file:///tmp/build/80754af9/requests_1592841827918/work requests-oauthlib==1.3.0 rope==0.17.0 Rtree==0.9.4 ruamel-yaml==0.15.87 scikit-image==0.16.2 scikit-learn @ file:///C:/ci/scikit-learn_1592863447244/work scipy @ file:///C:/ci/scipy_1592916961137/work seaborn==0.10.1 selenium==3.141.0 Send2Trash==1.5.0 service-identity==18.1.0 simplegeneric==0.8.1 simplejson==3.17.2 singledispatch==3.4.0.3 sip==4.19.13 six==1.12.0 snowballstemmer==2.0.0 sortedcollections==1.2.1 sortedcontainers==2.2.2 soupsieve==2.0.1 Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work spyder @ file:///C:/ci/spyder_1594820234642/work spyder-kernels @ file:///C:/ci/spyder-kernels_1594744028846/work SQLAlchemy @ file:///C:/ci/sqlalchemy_1593446777599/work sqlparse==0.4.1 statsmodels==0.11.1 sympy @ file:///C:/ci/sympy_1594234724630/work tables==3.6.1 tblib==1.6.0 telepot==12.7 terminado==0.8.3 testpath==0.4.2 text-unidecode==1.2 textblob==0.15.3 threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl toml==0.10.2 toolz==0.10.0 tornado==6.0.3 tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work traitlets==4.3.3 Twisted @ file:///C:/Users/Rashidov/Desktop/chat_app/Twisted-20.3.0-cp38-cp38-win32.whl txaio==21.2.1 typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1592847887441/work ujson==1.35 unicodecsv==0.14.1 urllib3==1.25.9 virtualenv==20.3.0 virtualenv-clone==0.5.4 watchdog @ file:///C:/ci/watchdog_1593447396356/work wcwidth==0.1.7 web.py==0.62 webencodings==0.5.1 Werkzeug==0.16.0 whitenoise==5.2.0 widgetsnbextension==3.5.1 win-inet-pton==1.1.0 win-unicode-console==0.5 wincertstore==0.2 wrapt==1.12.1 xlrd==1.2.0 XlsxWriter==1.2.9 xlwings==0.19.5 xlwt==1.3.0 xmltodict==0.12.0 yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work yarl==1.6.3 zict==2.0.0 zipp==0.6.0 zope.component==4.6.2 zope.deferredimport==4.3.1 zope.deprecation==4.4.0 zope.event==4.4 zope.hookable==5.0.1 zope.interface==4.7.1 zope.lifecycleevent==4.3 zope.proxy==4.3.5

            ...

            ANSWER

            Answered 2021-Mar-17 at 23:14

            Check out this Snakefood

            Especially the command sfood-imports which finds and lists import statements in python project

            So it is not depended on your env but rather on the code that you wrote

            Source https://stackoverflow.com/questions/66681708

            QUESTION

            Django Google App Engine: 502 Bad Gateway, already installed package not recognized
            Asked 2021-Mar-08 at 22:30

            I'm deploying Django in Google App Engine.

            I get 502 Bad Gateway and in the log I get the following error:

            2021-03-08 12:08:18 default[20210308t130512] Traceback (most recent call last): File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/arbiter.py", line 583, in spawn_worker worker.init_process() File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/workers/gthread.py", line 92, in init_process super().init_process() File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/workers/base.py", line 119, in init_process self.load_wsgi() File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/workers/base.py", line 144, in load_wsgi self.wsgi = self.app.wsgi() File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/app/base.py", line 67, in wsgi self.callable = self.load() File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/app/wsgiapp.py", line 49, in load return self.load_wsgiapp() File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/app/wsgiapp.py", line 39, in load_wsgiapp return util.import_app(self.app_uri) File "/layers/google.python.pip/pip/lib/python3.9/site-packages/gunicorn/util.py", line 358, in import_app mod = importlib.import_module(module) File "/opt/python3.9/lib/python3.9/importlib/init.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1030, in _gcd_import File "", line 1007, in _find_and_load File "", line 986, in _find_and_load_unlocked File "", line 680, in _load_unlocked File "", line 790, in exec_module File "", line 228, in _call_with_frames_removed File "/srv/main.py", line 1, in from django_project.wsgi import application File "/srv/django_project/wsgi.py", line 16, in application = get_wsgi_application() File "/layers/google.python.pip/pip/lib/python3.9/site-packages/django/core/wsgi.py", line 12, in get_wsgi_application django.setup(set_prefix=False) File "/layers/google.python.pip/pip/lib/python3.9/site-packages/django/init.py", line 19, in setup configure_logging(settings.LOGGING_CONFIG, settings.LOGGING) File "/layers/google.python.pip/pip/lib/python3.9/site-packages/django/conf/init.py", line 82, in getattr self._setup(name) File "/layers/google.python.pip/pip/lib/python3.9/site-packages/django/conf/init.py", line 69, in _setup self._wrapped = Settings(settings_module) File "/layers/google.python.pip/pip/lib/python3.9/site-packages/django/conf/init.py", line 170, in init mod = importlib.import_module(self.SETTINGS_MODULE) File "/opt/python3.9/lib/python3.9/importlib/init.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "/srv/django_project/settings.py", line 84, in import pymysql # noqa: 402 ModuleNotFoundError: No module named 'pymysql'

            The problem is that I already installed pymysql, in fact if I run pip3 install pymysql, I get Requirement already satisfied: ...

            Why is that? Thanks in advance!

            Edit:

            Here's requirements.txt:

            ...

            ANSWER

            Answered 2021-Mar-08 at 22:30

            If you run pip3 install pymysql in your local computer, this does not mean that when you deploy the app this module is packaged. In fact GAE attempts to install everything at build time using your requirements.txt file so it doesn't matter if you installed everything in your PC since GAE will not use what you have in local (talking about packages installed with pip).

            Checking your requirements.txt file I do not see that the package PyMySQL is added. You should add it to that file and attempt to deploy again.

            Source https://stackoverflow.com/questions/66529694

            QUESTION

            How to store result of pip command into Pandas Datafarme
            Asked 2020-Nov-17 at 11:04

            For getting the list of installed libraries, I run the following command in Jupyter Notebook:

            ...

            ANSWER

            Answered 2020-Nov-17 at 11:03

            We can use os module to create the pip list, then we use pandas.read_csv with \s+ as seperator to read the pip list into a dataframe:

            Source https://stackoverflow.com/questions/64873796

            QUESTION

            Google cloud function error with wheels & pywin32
            Asked 2020-May-01 at 19:33

            I'm trying to deploy a script on google cloud functions for the first time. I went through the documentation and figured out the basics. Then, I started trying to deploy my actual script. I'm facing an error with dependencies from the requirements.txt file. I'm at the stage where I don't know enough to be specific about my problem so I'll list down what I did.

            After I run the gcloud command gcloud functions deploy FILENAME --runtime python37 with my file name, I hit this error:

            ...

            ANSWER

            Answered 2020-May-01 at 14:59

            The pywin32 package only provides distributions for the Windows platform, so you won't be able to install it in the Google Cloud Functions runtime.

            Do you really need it? Your requirements.txt file looks like the output of pip freeze. You probably don't need all those dependencies. It should only include the dependencies you need to import in your function.

            Source https://stackoverflow.com/questions/61542508

            QUESTION

            Heroku - can't see application
            Asked 2020-Apr-14 at 12:24

            Edit: Problem solved.

            i've created a basic app, using python and flask. i've deployed the app to heroku and heroku didn't raise any exceptions or errrors. But when i open my app i getting message "application error". app works well on my local host and pythonanywhere.com

            i've look for some solutions on web and stackoverflow as well. Didn't find anything that solves the problem.

            Procfile;

            ...

            ANSWER

            Answered 2020-Apr-12 at 12:39

            Your Procfile should be changed to repect the "module:app name" format, and therefore point at your python file/module. Here :

            Source https://stackoverflow.com/questions/61170234

            QUESTION

            Failed Google App Engine deployment. No matching distribution found for pywin32==xxx
            Asked 2020-Apr-04 at 12:57

            I have run gcloud app deploy for my Django application, but it fails with the following errors at the end of the build log:

            ...

            ANSWER

            Answered 2020-Apr-04 at 12:57

            The pywin32 package only publishes built distributions for the Windows platform (note all the win* filenames here).

            You won't be able to install it on App Engine because the underlying platform is Linux, not Windows.

            Source https://stackoverflow.com/questions/61022116

            QUESTION

            Why doesn't the rasa nlu recognize that tensorflow is installed?
            Asked 2020-Feb-28 at 10:09

            I'm using the rasa nlu with the supervised_embedding pipeline, and I am trying to train my models. On my local machine, I can train without any issues. When I try to train the models on my server, I am getting the following error:

            ...

            ANSWER

            Answered 2020-Feb-26 at 14:31

            Looks like the reason it wasn't working on the server is because the CPU on it doesn't have the AVX instruction set. I have managed to train it on another server that has the AVX instruction set.

            Source https://stackoverflow.com/questions/60400753

            QUESTION

            Impossible to install twisted ( to get scrapy)
            Asked 2020-Feb-23 at 18:24

            everything in the title I'm trying to install scrapy and I get this error when it comes to install twisted. I have no idea how to fix that. I tried to uninstall Python which I didn't manage to do it (I think). So I downloaded Python 3.8 and reinstalled it/ overwrited it. Installed pip but same error. A little help would be much appreciated. (I had to delete most of the error which was 96000 lines of copying somethings) Thank you

            ~ pielov$ pip3 install twisted

            ...

            ANSWER

            Answered 2020-Feb-23 at 18:24

            sudo apt-get install python-dev python-pip libxml2-dev libxslt1-dev zlib1g-dev libffi-dev libssl-dev

            sudo apt-get install python3 python3-dev

            [1]https://docs.scrapy.org/en/latest/intro/install.html

            Source https://stackoverflow.com/questions/60354699

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

            Vulnerabilities

            No vulnerabilities reported

            Install PyHamcrest

            You can install using 'pip install PyHamcrest' or download it from GitHub, PyPI.
            You can use PyHamcrest 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

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install PyHamcrest

          • CLONE
          • HTTPS

            https://github.com/hamcrest/PyHamcrest.git

          • CLI

            gh repo clone hamcrest/PyHamcrest

          • sshUrl

            git@github.com:hamcrest/PyHamcrest.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link