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/home/s0pex/anaconda3/envs/bert_377/bin/python /home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py --output_dir ./output --model_type bert_emb_identity_seq2seq --model_name bert-large-uncased --num_train_epochs 100 --evaluate_during_training --do_eval_test 
Traceback (most recent call last):
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py", line 142, in <module>
    _run_identity_exp(args)
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py", line 94, in _run_identity_exp
    model_type=args.model_type)
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py", line 52, in lama_seq2seq_experiment
    all_data = readers.read_all_data(args, data_path, datasets_file_name)
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/readers.py", line 184, in read_all_data
    pickle.dump(all_data, open(os.path.join(data_path, datasets_file_name), "wb"))

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/home/s0pex/anaconda3/envs/bert_377/bin/python /home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py --output_dir ./output --model_type bert_emb_identity_seq2seq --model_name bert-large-uncased --num_train_epochs 100 --evaluate_during_training --do_eval_test 
Traceback (most recent call last):
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py", line 142, in <module>
    _run_identity_exp(args)
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py", line 94, in _run_identity_exp
    model_type=args.model_type)
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/seq2seq_experiment.py", line 52, in lama_seq2seq_experiment
    all_data = readers.read_all_data(args, data_path, datasets_file_name)
  File "/home/s0pex/Git/UzK/ICL/bertese/BERTese/readers.py", line 177, in read_all_data
    trex_data = get_trex_data(args)

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(bertese) s0pex@um790-pro:~/Git/UzK/ICL/bertese$ pip install -r requirements.txt 
Collecting absl-py==0.9.0 (from -r requirements.txt (line 1))
  Downloading absl-py-0.9.0.tar.gz (104 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.0/104.0 kB 553.9 kB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Collecting blis==0.4.1 (from -r requirements.txt (line 2))
  Downloading blis-0.4.1.tar.gz (1.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 MB 3.9 MB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Collecting boto3==1.12.39 (from -r requirements.txt (line 3))

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rce>run-test DefaultTestSuite releases/10.4.0
> Starting test scenario "Verifying accessibility of console command auth for role "developer""
Setting up installation "releases_10_4_0" using build "releases/10.4.0"
*** Error in test scenario "Verifying accessibility of console command auth for role "developer""; dumping any captured StdOut/StdErr output
> Starting test scenario "Verifying accessibility of console command auth create for role "developer""
Setting up installation "releases_10_4_0" using build "releases/10.4.0"
*** Error in test scenario "Verifying accessibility of console command auth create for role "developer""; dumping any captured StdOut/StdErr output
> Starting test scenario "Verifying accessibility of console command auth delete for role "developer""
Setting up installation "releases_10_4_0" using build "releases/10.4.0"
*** Error in test scenario "Verifying accessibility of console command auth delete for role "developer""; dumping any captured StdOut/StdErr output

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def test_all_Steps_of_pipeline(
        dummy_pipeline: PipelineTuple, expected_dronology_ypred_ytrue
):
    """
    Test loading predictions from a CSV file into the pipeline and calculate
    the metrics and export the results.

    We aim to validate that the pipeline can successfully load prediction results from a CSV
    file. The metrics are tested through the exporter, because they calculate the metrics by
    using the methods from the Metrics class.

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import logging
import requests
import argparse
import schedule

def send_register_request(course_id: int):
    data = {
        'state': 'studentAnmelden',
        'type': 'student',
        # Entsprechend die ID eintragen, weiß nicht für was die offerId=36 war

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import requests

data = {
    'state': 'studentAnmelden',
    'type': 'student',
    'offerCourseID': ' 169 ', # Entsprechend die ID eintragen, weiß nicht für was die offerId=36 war 
    'vorname': 'Name',
    'nachname': 'Nachname',
    'telefon': '0176000000',
    'matrikel': '74XXX21',

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        // SoldierBones
    // Bones 48 8B C4 53 48 81 EC ? ? ? ? 44 0F 29 60
    static constexpr auto kClientDiceAntAnimatableEntity = 0x1050;
    static constexpr auto kAntAnimatableEntity = 0x38;
    static constexpr auto kRenderSkeleton = 0x30;
    static constexpr auto kSqtArray = 0x38;
 
    // RenderSkeleton
    static constexpr auto kServerBoneHierarchy = 0x48;
    static constexpr auto kLocalBoneHierarchy = 0x60;

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const workflow: HttpWorkflowsArgoprojIoWorkflowsJson = {
    metadata: {
    name: `${pipelineSchema.title.replace(/\s/g, '-').toLowerCase()}-${id}`,
    namespace: 'default',
    labels: {
        id,
    },
    },
    spec: {
    entrypoint: 'workflow',

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# Setup WDK, make sure to edit the path variable as my Finddk.cmake is at 
# - root
# -- cmake
# ---- FindWdk.cmake
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_LIST_DIR}/cmake")
find_package(WDK REQUIRED)

# Set include from include and src
include_directories(
        ${CMAKE_CURRENT_SOURCE_DIR}/include