repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_gpqa.py | tests/jaster/test_gpqa.py | from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.gpqa_en import GPQAMainEnDatasetProcessor
def test_preprocess(tmp_path):
dataset_dir = tmp_path / "gpqa"
dataset_dir.mkdir()
csv_file = dataset_dir / "gpqa_main.csv"
csv_file.write_text(
(
"Question,Correct Answer,... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jhumaneval.py | tests/jaster/test_jhumaneval.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jhumaneval import JHumanEvalDatasetProcessor
content_dict = {
"task_id": {0: "JHumanEval/0", 1: "JHumanEval/1"},
"prompt_en": {
0: 'from typing import List\n\n\ndef has_close_elements(numbers: List[float], t... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_polymath.py | tests/jaster/test_polymath.py | from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.polymath import PolyMathEnDatasetProcessor, PolyMathJaDatasetProcessor
content_ja = """
{"id": "low-ja-1", "question": "5年生の生徒200人のうち、2/5の生徒が男の子で、女の子の2/3がガールスカウトに入っている。ガールスカウトに入っていない女の子は何人？", "answer": "40"}
{"id": "high-ja-2", "question": "凸多面体 $P$ は ... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jamp.py | tests/jaster/test_jamp.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jamp import JAMPDatasetProcessor
content = dedent(
"""
num premise hypothesis gold_label template_num time_format time_span category
1 ボブはホームに交流戦を迎えている。 ボブは現在ホームに交流戦を迎えている。 entailment 0 None None 現在（現在形）
2 トレントは問いに喉を開いて... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jemhopqa.py | tests/jaster/test_jemhopqa.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jemhopqa import JEMHopQADatasetProcessor
content = dedent(
"""
[
{
"qid": "45cad48d43f222048ea4a498fd29c4a1",
"type": "comparison",
"question": "『仮面ライダー電王』と『あまちゃん』、放送回数が多いのはどちらでしょう？",
"answer": "あまちゃん"... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jhle.py | tests/jaster/test_jhle.py | import json
from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jhle import JHumanitysLastExamDatasetProcessor
# Dummy data following the HLE format
content = [
{
"id": "ダミー",
"question": "この問題はダミーです。",
"answer": "ダミー",
"answer_type": "ex... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jmmlu.py | tests/jaster/test_jmmlu.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jmmlu import JMMLUDatasetProcessor
content = """
正当性とは何か?,司法適格性とは、関連する権利者による特定の権利の行使の可能性を指す,司法適格性とは、特定の権利の正当な性質または原因を指す,司法適格性とは、特定の権利の不行使が正義の原則に合致するかどうかを裁判所が評価することを指す,司法適格性とは、特定の権利を行使する国家の義務を指す,A
保護責任（R2P）は人道的介入とどのような点で異なるか... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jsick.py | tests/jaster/test_jsick.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jsick import JSICKDatasetProcessor
content = """
pair_ID\tdata\tsentence_A_En\tsentence_B_En\tentailment_label_En\trelatedness_score_En\tcorr_entailment_labelAB_En\tcorr_entailment_labelBA_En\tsentence_A_Ja\tsentence_B_Ja\t... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_alt.py | tests/jaster/test_alt.py | from textwrap import dedent
from llm_jp_eval.jaster.alt import ALTBaseDatasetProcessor
def test_parse_data_file_normal_case(temp_file):
content = dedent(
"""
SNT.80188.1 フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
SNT.80188.2 アンドレア・マージが開始4分後のトライでイタリアにとって最初の得点を入れた。
... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jcola.py | tests/jaster/test_jcola.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jcola import JCoLADatasetProcessor
content = """
{ "uid": 1001, "source": "Test_2025", "label": 1, "diacritic": "g", "sentence": "test sentence 0", "original": "test original 0" }
{ "uid": 1002, "source": "Test_2024", "labe... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_drop.py | tests/jaster/test_drop.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.drop import DropDatasetProcessor
content = """
{"section_id":"nfl_2201","query_id":"f16c0ee7-f131-4a8b-a6ac-4d275ea68066","passage":"To start the season, the Lions traveled south to Tampa, Florida to take on the Tampa Bay B... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_commonsensemoralja.py | tests/jaster/test_commonsensemoralja.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.commonsensemoralja import CommonsenseMoralJaDatasetProcessor
content = dedent(
"""
,sent,label
0,掃除当番を押し付けた,1
1,掃除当番をくじ引きで決めた,0
"""
).strip()
def test_dataset(temp_file):
file_path = temp_file(content, filename="t... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_gsm8k.py | tests/jaster/test_gsm8k.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.gsm8k import GSM8KDatasetProcessor
content = """
{"question": "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?", "a... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jsts.py | tests/jaster/test_jsts.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample
from llm_jp_eval.jaster.jsts import JSTSDatasetProcessor
content = """
{"sentence_pair_id": "0", "yjcaptions_id": "10005_480798-10996-92616", "sentence1": "川べりでサーフボードを持った人たちがいます。", "sentence2": "トイレの壁に黒いタオルがかけられています。", "label": 0.0}
{"sentence_pai... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/jaster/test_jblimp.py | tests/jaster/test_jblimp.py | from textwrap import dedent
from llm_jp_eval.jaster.base import Sample, Split
from llm_jp_eval.jaster.jblimp import JBLiMPDatasetProcessor
test_samples = [
{
"ID": 0,
"good_sentence": "test good sentence 0",
"bad_sentence": "test bad sentence 0",
"type": "test type",
"pheno... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/exporter/__init__.py | tests/exporter/__init__.py | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false | |
llm-jp/llm-jp-eval | https://github.com/llm-jp/llm-jp-eval/blob/a5b71613317dfc051714585740f5a2be006ea1d0/tests/exporter/test_exporter.py | tests/exporter/test_exporter.py | from unittest.mock import MagicMock
import pytest
from llm_jp_eval.exporter.base import EvaluationExporter, ExportConfigBase, OutputRecord
class DummyConfig(ExportConfigBase):
exporter_type = "dummy"
@property
def exporter_class(self):
return DummyExporter
class DummyExporter(EvaluationExport... | python | Apache-2.0 | a5b71613317dfc051714585740f5a2be006ea1d0 | 2026-01-05T07:13:14.125338Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/__init__.py | rl_gp_mpc/__init__.py | from .control_objects.controllers.gp_mpc_controller import GpMpcController
from .visu_objects.visu_object import ControlVisualizations | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/run_env_function.py | rl_gp_mpc/run_env_function.py | import time
import numpy as np
import matplotlib.pyplot as plt
from gym.core import Env
from rl_gp_mpc import GpMpcController
from rl_gp_mpc import ControlVisualizations
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from rl_gp_mpc.config_classes.total_config import Config
NUM_DECIMALS_REPR = 3
np.set_pr... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/visu_objects/visu_object.py | rl_gp_mpc/visu_objects/visu_object.py | import os
import multiprocessing
import copy
import time
import numpy as np
from gym.wrappers.monitoring.video_recorder import VideoRecorder
from gym.core import Env
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from rl_gp_mpc.config_classes.total_config import Config
from rl_gp_mpc.control_objects.cont... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/visu_objects/static_2d_graph.py | rl_gp_mpc/visu_objects/static_2d_graph.py | import datetime
import os
import matplotlib.pyplot as plt
import numpy as np
from rl_gp_mpc.control_objects.controllers.iteration_info_class import IterationInformation
ALPHA_CONFIDENCE_BOUNDS = 0.4
UPDATE_X_LIMIT = True
MUL_STD_BOUNDS = 3
def save_plot_2d(states, actions, costs, model_iter_infos: "list[Iteration... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/visu_objects/dynamic_2d_graph.py | rl_gp_mpc/visu_objects/dynamic_2d_graph.py | import time
import threading
import queue
import multiprocessing
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import imageio
from rl_gp_mpc.control_objects.controllers.iteration_info_class import IterationInformation
# matplotlib.use('TkAgg')
matplotlib.rc('font', size='6')
ALPHA_CONFIDENCE_B... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/visu_objects/static_3d_graph.py | rl_gp_mpc/visu_objects/static_3d_graph.py | import os
import datetime
import torch
import gpytorch
import matplotlib.pyplot as plt
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsRegressor
import numpy as np
from rl_gp_mpc.control_objects.models.gp_model import create_models, SavedS... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/visu_objects/utils.py | rl_gp_mpc/visu_objects/utils.py | import datetime
import os
def get_env_name(env):
try:
env_name = env.env.spec.entry_point.replace('-', '_').replace(':', '_').replace('.', '_')
except:
env_name = env.name
return env_name
def create_folder_save(env_name):
datetime_now = datetime.datetime.now()
folder_save = os.path.... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/envs/process_control.py | rl_gp_mpc/envs/process_control.py | import numpy as np
import gym
from gym import spaces
class ProcessControl(gym.Env):
"""
Example of custom Environment that follows gym interface.
The additional methods:
- define_params: used to be able to vary the internal parameters
of the env to check the robustness of the control to change in the env.
... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/memory_config.py | rl_gp_mpc/config_classes/memory_config.py | from .utils.functions_process_config import convert_config_lists_to_tensor
class MemoryConfig:
def __init__(self,
check_errors_for_storage:bool=True,
min_error_prediction_state_for_memory:"list[float]"=[3e-4, 3e-4, 3e-4],
min_prediction_state_std_for_memory:"list[float]"=[3e-3, 3e-3, 3e-3],
points_batch_me... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/actions_config.py | rl_gp_mpc/config_classes/actions_config.py | from .utils.functions_process_config import convert_config_lists_to_tensor
class ActionsConfig:
def __init__(
self,
limit_action_change:bool=False,
max_change_action_norm:"list[float]"=[0.05],
):
"""
limit_action_change: if set to true, the actions will stay close to the action of the previous time step... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/visu_config.py | rl_gp_mpc/config_classes/visu_config.py | class VisuConfig:
def __init__(
self,
save_render_env:bool=True,
render_live_plot_2d:bool=True,
render_env:bool=True,
save_live_plot_2d:bool=False
):
"""
save_render_env: if set to true and render_env is true, will save the env animation
render_live_plot_2d: if true, will show the dynamic 2d graph upd... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/observation_config.py | rl_gp_mpc/config_classes/observation_config.py | import torch
class ObservationConfig:
def __init__(
self,
obs_var_norm:"list[float]"=[1e-6, 1e-6, 1e-6]
):
"""
obs_var_norm: uncertainty of the observation used by the model
"""
self.obs_var_norm = torch.diag(torch.Tensor(obs_var_norm))
| python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/training_config.py | rl_gp_mpc/config_classes/training_config.py | class TrainingConfig:
def __init__(
self,
lr_train:float=7e-3,
iter_train:int=15,
training_frequency:int=25,
clip_grad_value:float=1e-3,
print_train:bool=False,
step_print_train:int=5
):
"""
lr_train: learning rate when training the hyperparameters of the model
iter_train: number of iteration when... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/reward_config.py | rl_gp_mpc/config_classes/reward_config.py | import torch
from .utils.functions_process_config import convert_config_lists_to_tensor
class RewardConfig:
def __init__(
self,
target_state_norm:"list[float]"=[1, 0.5, 0.5],
weight_state:"list[float]"=[1, 0.1, 0.1],
weight_state_terminal:"list[float]"=[10, 5, 5],
target_action_norm:"list[float]"=[0.5],... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/model_config.py | rl_gp_mpc/config_classes/model_config.py | from .utils.functions_process_config import convert_dict_lists_to_dict_tensor, extend_dim, extend_dim_lengthscale_time
class ModelConfig:
def __init__(
self,
gp_init:dict = {
"noise_covar.noise": [1e-4, 1e-4, 1e-4], # variance = (std)²
"base_kernel.lengthscale": [[0.75, 0.75, 0.75, 0.75],
[0.75, ... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/controller_config.py | rl_gp_mpc/config_classes/controller_config.py | class ControllerConfig:
def __init__(self,
len_horizon:int=15,
actions_optimizer_params:dict={
"disp": None, "maxcor": 30, "ftol": 1e-99, "gtol": 1e-99, "eps": 1e-2, "maxfun": 30,
"maxiter": 30, "iprint": -1, "maxls": 30, "finite_diff_rel_step": None
},
init_from_previous_actions:bool=True,
restarts_... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/total_config.py | rl_gp_mpc/config_classes/total_config.py | import torch
from .controller_config import ControllerConfig
from .actions_config import ActionsConfig
from .model_config import ModelConfig
from .training_config import TrainingConfig
from .reward_config import RewardConfig
from .observation_config import ObservationConfig
from .memory_config import MemoryConfig
tor... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/config_classes/utils/functions_process_config.py | rl_gp_mpc/config_classes/utils/functions_process_config.py | import torch
def convert_config_lists_to_tensor(self):
for attr, value in self.__dict__.items():
if isinstance(value, list):
setattr(self, attr, torch.Tensor(value))
return self
def convert_dict_lists_to_dict_tensor(dict_list: "dict[list]"):
for attr, value in dict_list.items():
... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/__init__.py | rl_gp_mpc/control_objects/__init__.py | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false | |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/actions_mappers/action_init_functions.py | rl_gp_mpc/control_objects/actions_mappers/action_init_functions.py | import numpy as np
def generate_mpc_action_init_random(len_horizon, dim_action):
return np.random.uniform(low=0, high=1, size=(len_horizon, dim_action)).reshape(-1)
def generate_mpc_action_init_frompreviousiter(actions_mpc, dim_action):
actions_mpc[:-dim_action] = actions_mpc[dim_action:]
return actions_mpc
de... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/actions_mappers/abstract_action_mapper.py | rl_gp_mpc/control_objects/actions_mappers/abstract_action_mapper.py | from typing import Union
import numpy as np
import torch
from rl_gp_mpc.config_classes.actions_config import ActionsConfig
class AbstractActionMapper:
'''
Class use to map actions to space between 0 and 1.
The optimiser constraints the embed_action to be between 0 and 1.
By using this class, the action can be c... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/actions_mappers/derivative_action_mapper.py | rl_gp_mpc/control_objects/actions_mappers/derivative_action_mapper.py | from typing import Union
import numpy as np
import torch
from rl_gp_mpc.config_classes.actions_config import ActionsConfig
from rl_gp_mpc.control_objects.utils.pytorch_utils import Clamp
from .abstract_action_mapper import AbstractActionMapper
class DerivativeActionMapper(AbstractActionMapper):
def __init__(self, a... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/actions_mappers/normalization_action_mapper.py | rl_gp_mpc/control_objects/actions_mappers/normalization_action_mapper.py | from typing import Union
import numpy as np
import torch
from rl_gp_mpc.config_classes.actions_config import ActionsConfig
from .abstract_action_mapper import AbstractActionMapper
class NormalizationActionMapper(AbstractActionMapper):
def __init__(self, action_low:Union[np.ndarray, torch.Tensor], action_high:Union... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/memories/gp_memory.py | rl_gp_mpc/control_objects/memories/gp_memory.py | import torch
import numpy as np
from rl_gp_mpc.config_classes.memory_config import MemoryConfig
from rl_gp_mpc.control_objects.utils.data_utils import form_model_input
class Memory:
def __init__(self, config:MemoryConfig, dim_input, dim_state, include_time_model=False, step_model=1):
self.config = config... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/controllers/iteration_info_class.py | rl_gp_mpc/control_objects/controllers/iteration_info_class.py | import numpy as np
import torch
NUM_DECIMALS_REPR = 3
class IterationInformation:
def __init__(self,
iteration:int,
state:float,
cost:float,
cost_std:float,
mean_predicted_cost:float,
mean_predicted_cost_std:float,
lower_bound_mean_predicted_cost:float,
predicted_idxs:np.array,
predicted_states:np.... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/controllers/abstract_controller.py | rl_gp_mpc/control_objects/controllers/abstract_controller.py | from rl_gp_mpc.config_classes.total_config import Config
class BaseControllerObject:
def __init__(self, config: Config):
raise NotImplementedError
def add_memory(self, obs, action, obs_new, reward, **kwargs):
raise NotImplementedError()
def get_action(self, obs_mu, obs_var=None):
... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/controllers/gp_mpc_controller.py | rl_gp_mpc/control_objects/controllers/gp_mpc_controller.py | import multiprocessing
import numpy as np
import torch
from scipy.optimize import minimize
from rl_gp_mpc.control_objects.actions_mappers.action_init_functions import generate_mpc_action_init_random, generate_mpc_action_init_frompreviousiter
from rl_gp_mpc.config_classes.total_config import Config
from rl_gp_mpc.cont... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/observations_states_mappers/abstract_observation_state_mapper.py | rl_gp_mpc/control_objects/observations_states_mappers/abstract_observation_state_mapper.py | from typing import Union
import numpy as np
import torch
from rl_gp_mpc.config_classes.observation_config import ObservationConfig
class AbstractObservationStateMapper:
def __init__(self, observation_low: Union[np.ndarray, torch.Tensor], observation_high: Union[np.ndarray, torch.Tensor], config:ObservationConfig):
... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/observations_states_mappers/normalization_observation_state_mapper.py | rl_gp_mpc/control_objects/observations_states_mappers/normalization_observation_state_mapper.py | from typing import Union
import numpy as np
import torch
from rl_gp_mpc.config_classes.observation_config import ObservationConfig
from .abstract_observation_state_mapper import AbstractObservationStateMapper
class NormalizationObservationStateMapper(AbstractObservationStateMapper):
def __init__(self, observation_... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/models/gp_model.py | rl_gp_mpc/control_objects/models/gp_model.py | import multiprocessing
import time
import torch
import gpytorch
import numpy as np
from rl_gp_mpc.config_classes.model_config import ModelConfig
from .abstract_model import AbstractStateTransitionModel
class SavedState:
def __init__(self, inputs:torch.Tensor, states_change: torch.Tensor, parameters:"list[dict]... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/models/abstract_model.py | rl_gp_mpc/control_objects/models/abstract_model.py | import torch
from rl_gp_mpc.config_classes.model_config import ModelConfig
class AbstractStateTransitionModel:
def __init__(self, config:ModelConfig, dim_state, dim_action):
self.config = config
self.dim_state = dim_state
self.dim_action = dim_action
self.dim_input = self.dim_state + self.dim_action
def pr... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/utils/data_utils.py | rl_gp_mpc/control_objects/utils/data_utils.py | import torch
def form_model_input(state, action_model, time_idx, include_time_model, dim_input):
x = torch.empty(dim_input)
x[:((state.shape[0] + action_model.shape[0]))] = torch.cat((state, action_model))
if include_time_model:
x[-1] = time_idx
return x | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/utils/pytorch_utils.py | rl_gp_mpc/control_objects/utils/pytorch_utils.py | import torch
from math import sqrt
class Clamp(torch.autograd.Function):
# This class allow the flow of gradient when at the boundary. Otherwise, when using the clamp function from pytorch, the action remains blocked at 0 or 1
@staticmethod
def forward(ctx, input, min, max):
return input.clamp(min=mi... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/states_reward_mappers/abstract_state_reward_mapper.py | rl_gp_mpc/control_objects/states_reward_mappers/abstract_state_reward_mapper.py | import torch
from rl_gp_mpc.config_classes.reward_config import RewardConfig
class AbstractStateRewardMapper:
def __init__(self, config:RewardConfig):
self.config = config
def get_reward(self, state_mu:torch.Tensor, state_var: torch.Tensor, action:torch.Tensor):
raise NotImplementedError
def get_reward_termi... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/rl_gp_mpc/control_objects/states_reward_mappers/setpoint_distance_reward_mapper.py | rl_gp_mpc/control_objects/states_reward_mappers/setpoint_distance_reward_mapper.py | import torch
from rl_gp_mpc.config_classes.reward_config import RewardConfig
from .abstract_state_reward_mapper import AbstractStateRewardMapper
from ..utils.pytorch_utils import normal_cdf
class SetpointStateRewardMapper(AbstractStateRewardMapper):
def __init__(self, config:RewardConfig):
super().__init__(config... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/pendulum/config_pendulum.py | examples/pendulum/config_pendulum.py | from rl_gp_mpc.config_classes.total_config import Config
from rl_gp_mpc.config_classes.controller_config import ControllerConfig
from rl_gp_mpc.config_classes.actions_config import ActionsConfig
from rl_gp_mpc.config_classes.reward_config import RewardConfig
from rl_gp_mpc.config_classes.observation_config import Obser... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/pendulum/run_pendulum.py | examples/pendulum/run_pendulum.py | import sys
import os
file_path = os.path.abspath(__file__)
sys.path.append(os.path.join(os.path.dirname(file_path), '../../'))
import gym
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from rl_gp_mpc.run_env_function import run_env
from config_pendulum import get_config
def run_pendulum():
num_step... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/pendulum/run_pendulum_multiple.py | examples/pendulum/run_pendulum_multiple.py | import sys
import os
file_path = os.path.abspath(__file__)
sys.path.append(os.path.join(os.path.dirname(file_path), '../../'))
import gym
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from rl_gp_mpc.run_env_function import run_env_multiple
from config_pendulum import get_config
if __name__ == '__main_... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/mountain_car/config_mountaincar.py | examples/mountain_car/config_mountaincar.py | from rl_gp_mpc.config_classes.total_config import Config
from rl_gp_mpc.config_classes.controller_config import ControllerConfig
from rl_gp_mpc.config_classes.actions_config import ActionsConfig
from rl_gp_mpc.config_classes.reward_config import RewardConfig
from rl_gp_mpc.config_classes.observation_config import Obser... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/mountain_car/run_mountain_car_multiple.py | examples/mountain_car/run_mountain_car_multiple.py | import sys
import os
file_path = os.path.abspath(__file__)
sys.path.append(os.path.join(os.path.dirname(file_path), '../../'))
import gym
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from config_mountaincar import get_config
from rl_gp_mpc.run_env_function import run_env_multiple
if __name__ == '__ma... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/mountain_car/run_mountaincar.py | examples/mountain_car/run_mountaincar.py | import sys
import os
file_path = os.path.abspath(__file__)
sys.path.append(os.path.join(os.path.dirname(file_path), '../../'))
import gym
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from rl_gp_mpc.run_env_function import run_env
from config_mountaincar import get_config
def run_mountain_car(num_step... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/process_control/config_process_control.py | examples/process_control/config_process_control.py | from rl_gp_mpc.config_classes.total_config import Config
from rl_gp_mpc.config_classes.controller_config import ControllerConfig
from rl_gp_mpc.config_classes.actions_config import ActionsConfig
from rl_gp_mpc.config_classes.reward_config import RewardConfig
from rl_gp_mpc.config_classes.observation_config import Obser... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/process_control/run_processc_control_multiple.py | examples/process_control/run_processc_control_multiple.py | import sys
import os
file_path = os.path.abspath(__file__)
sys.path.append(os.path.join(os.path.dirname(file_path), '../../'))
from rl_gp_mpc.envs.process_control import ProcessControl
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from config_process_control import get_config
from rl_gp_mpc.run_env_fun... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control | https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control/blob/e73e805688792b4d63fcee08f4eb06a7fab46a11/examples/process_control/run_process_control.py | examples/process_control/run_process_control.py | import sys
import os
file_path = os.path.abspath(__file__)
sys.path.append(os.path.join(os.path.dirname(file_path), '../../'))
from rl_gp_mpc.config_classes.visu_config import VisuConfig
from rl_gp_mpc.envs.process_control import ProcessControl
from rl_gp_mpc.run_env_function import run_env
from config_process_control... | python | MIT | e73e805688792b4d63fcee08f4eb06a7fab46a11 | 2026-01-05T07:13:13.323103Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/download-model.py | download-model.py | '''
Downloads models from Hugging Face to models/model-name.
Source: https://github.com/oobabooga/text-generation-webui
Example:
python download-model.py facebook/opt-1.3b
'''
import argparse
import base64
import datetime
import hashlib
import json
import re
import sys
from pathlib import Path
import requests
impor... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/bootstrap_models.py | bootstrap_models.py | import sys
import os
import subprocess
DEFAULT_EMBEDDINGS_MODEL ="sentence-transformers/all-MiniLM-L6-v2"
DEFAULT_MODEL = "openlm-research/open_llama_3b"
MODEL_DIR = "./models"
def _download_if_not_exists(model):
models_dir = os.path.join(MODEL_DIR, model)
if os.path.exists(models_dir):
print(f"Direc... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/main.py | app/main.py | import os
import shutil
from fastapi import FastAPI, Depends, UploadFile
from fastapi.middleware.cors import CORSMiddleware
from sqlmodel import SQLModel, create_engine, Session, desc
from models.all import Conversation, Message, ConversationWithMessages
from typing import List
from settings import load_config, logger
... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/settings.py | app/settings.py | import os
from dotenv import load_dotenv
import logging
from langchain.embeddings import (
HuggingFaceEmbeddings,
HuggingFaceInstructEmbeddings,
)
class CustomFormatter(logging.Formatter):
grey = "\x1b[38;20m"
yellow = "\x1b[33;20m"
red = "\x1b[31;20m"
bold_red = "\x1b[31;1m"
reset = "\x1b... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/__init__.py | app/__init__.py | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false | |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/guidance_tooling/guidance_programs/tools.py | app/guidance_tooling/guidance_programs/tools.py | from dotenv import load_dotenv
from langchain.chains import RetrievalQA
from langchain.embeddings import HuggingFaceEmbeddings, HuggingFaceInstructEmbeddings
from langchain import HuggingFacePipeline
from colorama import Fore, Style
import re
from langchain.vectorstores import Chroma
from langchain.docstore.document im... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/tools/web_access.py | app/tools/web_access.py | from settings import Settings
from tools.base import BaseTool
config = Settings.load_config()
class WebAccess(BaseTool):
url: str
def commands(self):
return {}
| python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/tools/document_memory.py | app/tools/document_memory.py | from tools.base import BaseTool
from tools.utils import _build_conversation_filter
from typing import Dict, Any
class DocumentSearchTool(BaseTool):
def __init__(self, conversation_id: str, tool_context: Dict[str, Any], name: str = "Document Search"):
required_context_keys = ["vector_store_docs", "k"]
... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/tools/conversation_memory.py | app/tools/conversation_memory.py | from tools.base import BaseTool
from tools.utils import _build_conversation_filter
from typing import Dict, Any
class ConversationSearchTool(BaseTool):
def __init__(self, conversation_id: str, tool_context: Dict[str, Any], name: str = "Conversation Search"):
required_context_keys = ["vector_store_convs", "... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/tools/utils.py | app/tools/utils.py | from typing import Optional
def _build_conversation_filter(conversation_id: Optional[str]):
if conversation_id is not None:
return {"conversation_id": conversation_id}
else:
return {} | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/tools/base.py | app/tools/base.py | from pyparsing import abstractmethod
from typing import Dict, List, Any
class ToolFactory():
"""Instantiates tools with a reference to the current conversation_id"""
def __init__(self, list_of_tool_classes: List["BaseTool"]) -> None:
self._tool_class_references = list_of_tool_classes
def build_to... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/flow/flow.py | app/flow/flow.py | from abc import abstractmethod
from colorama import Fore
from typing import Tuple, List, Union, Dict
from andromeda_chain import AndromedaChain, AndromedaPrompt, AndromedaResponse
from agents.base import color_print
from prompts.guidance_choice import CHOICE_PROMPT
from copy import deepcopy
class Node:
def __init_... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/flow/__init__.py | app/flow/__init__.py | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false | |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/agents/chain_of_thoughts.py | app/agents/chain_of_thoughts.py | from agents.base import BaseAgent
from guidance_tooling.guidance_programs.tools import ingest_file
from guidance_tooling.guidance_programs.tools import clean_text
from langchain.llms import LlamaCpp
import os
import time
import guidance
from colorama import Fore, Style
from langchain.chains import RetrievalQA
from lang... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/agents/flow_cot.py | app/agents/flow_cot.py | from typing import Dict, Callable
from andromeda_chain import AndromedaChain
from agents.flow_based import BaseFlowAgent
from flow.flow import Flow, PromptNode, ToolNode, ChoiceNode, StartNode
from prompts.flow_guidance_cot import FlowChainOfThoughts, PROMPT_START_STRING
class ChainOfThoughtsFlowAgent(BaseFlowAgent):... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/agents/flow_based.py | app/agents/flow_based.py | # import the necessary libraries
from typing import Dict, Callable
from agents.base import BaseAgent
from colorama import Style
from andromeda_chain import AndromedaChain
from flow.flow import Flow
def color_print(msg, color):
print(color + Style.BRIGHT + msg + Style.RESET_ALL)
class BaseFlowAgent(BaseAgent):
... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/agents/__init__.py | app/agents/__init__.py | from agents.chain_of_thoughts import ChainOfThoughtsAgent
from agents.flow_cot import ChainOfThoughtsFlowAgent | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/agents/base.py | app/agents/base.py | # import the necessary libraries
from abc import abstractmethod
from colorama import Style, Fore
from typing import List
from andromeda_chain import AndromedaChain
from tools.base import BaseTool
def color_print(msg, color):
print(color + Style.BRIGHT + msg + Style.RESET_ALL, flush=True)
class BaseAgent:
""... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/models/all.py | app/models/all.py | from datetime import datetime
from typing import Optional, List
from sqlmodel import SQLModel, Field, Relationship
from importlib import import_module
NAMING_CONVENTION = {
"ix": "ix_%(column_0_label)s",
"uq": "uq_%(table_name)s_%(column_0_name)s",
"ck": "ck_%(table_name)s_%(constraint_name)s",
"fk": "... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/memory/chroma_memory.py | app/memory/chroma_memory.py | import os
from typing import Any, Iterable, List, Optional, Type
from memory.base import BaseMemory
from langchain import vectorstores
from langchain.embeddings import (
HuggingFaceInstructEmbeddings,
HuggingFaceEmbeddings,
)
from langchain.docstore.document import Document
from settings import load_config, log... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/memory/base.py | app/memory/base.py | from typing import Any, Iterable, List, Optional, Dict, Tuple, Type
from pydantic import BaseModel
from pyparsing import abstractmethod
from langchain.docstore.document import Document
from langchain.vectorstores import VectorStore
class BaseMemory(BaseModel):
collection_name: Optional[str]
vector_store: Opti... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/plugins/__init__.py | app/plugins/__init__.py | import importlib
import pkgutil
import os
def load_plugins(app):
# Get the current directory
plugins_dir = os.path.dirname(__file__)
# Iterate over the files in the plugins directory
for _, plugin_name, is_package in pkgutil.iter_modules([plugins_dir]):
if is_package:
# Dynamically... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/plugins/sample_plugin/database.py | app/plugins/sample_plugin/database.py | from datetime import datetime
from typing import Optional, List
from sqlmodel import SQLModel, Field, Relationship
from models.all import Conversation
class SamplePluginModelBase(SQLModel):
"""A base model for SamplePluginModel"""
# __tablename__: str = 'sample_plugin_model'
created_at: datetime = Field(... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/plugins/sample_plugin/__init__.py | app/plugins/sample_plugin/__init__.py | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false | |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/plugins/sample_plugin/routes.py | app/plugins/sample_plugin/routes.py | from fastapi import APIRouter
router = APIRouter()
@router.get("/")
def sample_plugin_route():
return {"message": "Sample plugin route"}
# Additional routes and functionality for the sample plugin
| python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/migrations/env.py | app/migrations/env.py | from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
from models import all
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file f... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/migrations/versions/51a9f1ab4b8b_add_sample_plugin_demo_model.py | app/migrations/versions/51a9f1ab4b8b_add_sample_plugin_demo_model.py | """Add Sample Plugin Demo Model
Revision ID: 51a9f1ab4b8b
Revises: 804b20c9599c
Create Date: 2023-06-04 21:30:37.777274
"""
from alembic import op
import sqlalchemy as sa
import sqlmodel.sql.sqltypes
# revision identifiers, used by Alembic.
revision = '51a9f1ab4b8b'
down_revision = '804b20c9599c'
branch_labels = No... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/migrations/versions/804b20c9599c_initial.py | app/migrations/versions/804b20c9599c_initial.py | """initial
Revision ID: 804b20c9599c
Revises:
Create Date: 2023-05-31 20:06:36.912608
"""
from alembic import op
import sqlalchemy as sa
import sqlmodel.sql.sqltypes
# revision identifiers, used by Alembic.
revision = '804b20c9599c'
down_revision = None
branch_labels = None
depends_on = None
def upgrade() -> Non... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/prompts/flow_guidance_cot.py | app/prompts/flow_guidance_cot.py | from andromeda_chain.prompt import AndromedaPrompt
PROMPT_START_STRING = """You're an AI assistant with access to tools.
You're nice and friendly, and try to answer questions to the best of your ability.
You have access to the following tools.
{tools_descriptions}
Strictly use the following format:
Question: the in... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/prompts/guidance_check_question.py | app/prompts/guidance_check_question.py | from andromeda_chain.prompt import AndromedaPrompt
PROMPT_CHECK_QUESTION = AndromedaPrompt(
name="start-prompt",
prompt_template="""You MUST answer with 'yes' or 'no'. Given the following pieces of context, determine if there are any elements related to the question in the context.
Don't forget you MUST answe... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/prompts/__init__.py | app/prompts/__init__.py | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false | |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/prompts/guidance_choice.py | app/prompts/guidance_choice.py | from andromeda_chain.prompt import AndromedaPrompt
CHOICE_PROMPT = AndromedaPrompt(
name="choice_prompt",
prompt_template = """{{history}}
You must now choose an option out of the {{valid_choices}}.
Remember that it must be coherent with your last thought.
{{select 'choice' logprobs='logprobs' options=valid_... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/conversations/document_based.py | app/conversations/document_based.py | from langchain.document_loaders import TextLoader
from memory.chroma_memory import Chroma
from langchain.text_splitter import RecursiveCharacterTextSplitter
from colorama import Fore, Style
from guidance_tooling.guidance_programs.tools import clean_text
from andromeda_chain import AndromedaChain
from agents import Cha... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/conversations/document_based_flow.py | app/conversations/document_based_flow.py | from langchain.document_loaders import TextLoader
from memory.chroma_memory import Chroma
from langchain.text_splitter import RecursiveCharacterTextSplitter
from andromeda_chain import AndromedaChain
from agents import ChainOfThoughtsFlowAgent
from tools.base import ToolFactory
from tools.document_memory import Docume... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
ChuloAI/BrainChulo | https://github.com/ChuloAI/BrainChulo/blob/cacf3acff407ed131ef02196dfede54d8ff216da/app/prompt_templates/qa_agent.py | app/prompt_templates/qa_agent.py | QA_ETHICAL_AGENT="""
{{#system~}}
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
You are a helpful assistant. Answer the following questions as best you can. You have access to the following t... | python | MIT | cacf3acff407ed131ef02196dfede54d8ff216da | 2026-01-05T07:13:18.041503Z | false |
Snooz82/robotframework-datadriver | https://github.com/Snooz82/robotframework-datadriver/blob/d2d519666250324478bdccd7ccd65206a9110bf4/create_readme.py | create_readme.py | from inspect import getdoc
from pathlib import Path
from DataDriver import DataDriver
with Path("Readme.rst").open("w", encoding="utf-8") as readme:
doc_string = getdoc(DataDriver)
readme.write(str(doc_string).replace("\\", "\\\\").replace("\\\\*", "\\*"))
| python | Apache-2.0 | d2d519666250324478bdccd7ccd65206a9110bf4 | 2026-01-05T07:13:20.041560Z | false |
Snooz82/robotframework-datadriver | https://github.com/Snooz82/robotframework-datadriver/blob/d2d519666250324478bdccd7ccd65206a9110bf4/setup.py | setup.py | import re
from pathlib import Path
from setuptools import find_packages, setup
with Path("Readme.rst").open(encoding="utf-8") as fh:
long_description = fh.read()
with (Path(__file__).resolve().parent / "src" / "DataDriver" / "DataDriver.py").open(
encoding="utf-8"
) as f:
VERSION = re.search('\n__version... | python | Apache-2.0 | d2d519666250324478bdccd7ccd65206a9110bf4 | 2026-01-05T07:13:20.041560Z | false |
Snooz82/robotframework-datadriver | https://github.com/Snooz82/robotframework-datadriver/blob/d2d519666250324478bdccd7ccd65206a9110bf4/atest/run_atest.py | atest/run_atest.py | from robot.run import run
# robot -d logs --listener RobotStackTracer --exclude performanceORfailingORfiltered --loglevel TRACE:INFO --extension robot .
result = run(
".",
outputdir="logs",
listener="RobotStackTracer",
exclude="performanceORfailingORfiltered",
loglevel="TRACE:INFO",
extension=... | python | Apache-2.0 | d2d519666250324478bdccd7ccd65206a9110bf4 | 2026-01-05T07:13:20.041560Z | false |
Snooz82/robotframework-datadriver | https://github.com/Snooz82/robotframework-datadriver/blob/d2d519666250324478bdccd7ccd65206a9110bf4/atest/TestCases/Tags/foo_reader.py | atest/TestCases/Tags/foo_reader.py | from DataDriver.AbstractReaderClass import AbstractReaderClass
from DataDriver.ReaderConfig import TestCaseData
class foo_reader(AbstractReaderClass):
def get_data_from_source(self):
return self._read_file_to_data_table()
def _read_file_to_data_table(self):
test_data = []
flipflop = T... | python | Apache-2.0 | d2d519666250324478bdccd7ccd65206a9110bf4 | 2026-01-05T07:13:20.041560Z | false |
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