- Sdl trados studio data file could not be loaded install#
- Sdl trados studio data file could not be loaded registration#
- Sdl trados studio data file could not be loaded license#
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- Sdl trados studio data file could not be loaded windows#
Sdl trados studio data file could not be loaded install#
No administrator privileges are required to install Forget-me-not.
Sdl trados studio data file could not be loaded windows#
System requirements: Windows XP/Vista or greater, Microsoft Office XP or greater. The Automatic Installer is a quick and easy way to install Forget-me-not.
Sdl trados studio data file could not be loaded download#
To install Forget-me-not, download the Automatic Installer first, and then follow the installation guidelines below.
Sdl trados studio data file could not be loaded license#
To view Forget-me-not License Agreement, go here. If you have trouble registering your license, click Report an Issue button to send an email to the support team. Unless you have already activated this license on 3 computers, the license will be activated successfully and the dialogue will be closed. You need an Internet connection to do so.
Sdl trados studio data file could not be loaded registration#
When you have the license name and code, paste them individually into Registration name and License code fields.Ĭlick Register and Activate License button to activate the license. If you don't have a license name and code, click Obtain License Code button in order to purchase a license. You will see License Registration dialogue: in Document Analysis Wizard dialogue if you are using the standalone version. button on About Forget-me-not dialogue or by clicking Help > Register the program. To activate a license, click Register the program. During deactivation the program contacts the Activation website, so you need an Internet connection. You will be prompted to confirm the action, and following a confirmation the license will be deactivated. If you are using the standalone version, you can also click Help > Deactivate license. To deactivate a license, click Deactivate license button on About Forget-me-not dialogue. The dialogue displays the registration name and the license code. To view the activated license, click About Forget-me-not on the ribbon of Microsoft Word or Microsoft PowerPoint, or click Help > About Forget-me-not in Document Analysis Wizard dialogue if you use the standalone version: If you have already activated the same license on 3 computers, you will not be able to activate this license unless you deactivate the license on another computer first. When a license is activated, the program contacts the activation server on Forget-me-not website. You can buy a license here.Ī license may be activated on up to 3 different computers belonging to the same individual or employee. When this initial 30-day period is over, you need a valid license. I couldn’t find a wheel for pyarrow for armv7 neither on piwheels nor on PyPi.Forget-me-not may be used during 30 days after its first use without any limitations. Then like its recommended here I tried: RUN pip3 install pandas-gbq=0.14.0Īnd RUN pip install -upgrade 'google-cloud-bigquery'īut nothing worked and every time I get the same error like above.
#14 164.9 ERROR: Could not build wheels for pyarrow which use PEP 517 and cannot be installed directly #14 164.9 ERROR: Failed building wheel for pyarrow #14 164.9 error: command 'cmake' failed with exit status 1 #14 164.9 cmake -DPYTHON_EXECUTABLE=/usr/local/bin/python -DPython3_EXECUTABLE=/usr/local/bin/python -DPYARROW_BUILD_CUDA=off -DPYARROW_BUILD_FLIGHT=off -DPYARROW_BUILD_GANDIVA=off -DPYARROW_BUILD_DATASET=off -DPYARROW_BUILD_ORC=off -DPYARROW_BUILD_PARQUET=off -DPYARROW_BUILD_PLASMA=off -DPYARROW_BUILD_S3=off -DPYARROW_BUILD_HDFS=off -DPYARROW_USE_TENSORFLOW=off -DPYARROW_BUNDLE_ARROW_CPP=off -DPYARROW_BUNDLE_BOOST=off -DPYARROW_GENERATE_COVERAGE=off -DPYARROW_BOOST_USE_SHARED=on -DPYARROW_PARQUET_USE_SHARED=on -DCMAKE_BUILD_TYPE=release /tmp/pip-install-jiim0m92/pyarrow_07d2ad5142d7405fa1b4bb2fe83e0428 #14 164.9 copying pyarrow/tests/parquet/test_parquet_writer.py -> build/lib.linux-armv7l-3.7/pyarrow/tests/parquet This gives me the error "ERROR: Could not build wheels for pyarrow which use PEP 517 and cannot be installed directly" during the image build: > RUN pip3 install pyarrow: So I tried to install pyarrow directly in my Dockerfile with: RUN pip3 install pyarrow ValueError: This method requires pyarrow to be installed Raise ValueError("This method requires pyarrow to be installed") Job = client.load_table_from_dataframe(dataframe, table_id, job_config=job_config) # Make an API request.įile "/usr/local/lib/python3.7/site-packages/google/cloud/bigquery/client.py", line 2574, in load_table_from_dataframe
If I’m running a container with this image, the container always restarts and gives me the error log "ValueError: This method requires pyarrow to be installed": Traceback (most recent call last):įile "/usr/src/app/bigquery.py", line 39, in upload_data I build a Docker image for an armv7 architecture with python packages numpy, scipy, pandas and google-cloud-bigquery using packages from piwheels. 23rd September 2021 armv7, dockerfile, google-bigquery, pyarrow, python-3.x
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