From 00e900b79db0d0ddb6f67a02f1d5d7edbf2c47dd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Cabrero-Holgueras?= Date: Thu, 29 Aug 2024 11:29:23 +0000 Subject: [PATCH 1/7] chore: linting example files --- examples/complex_model/main.py | 7 ++++--- examples/conv_net/01_provide_model.py | 11 ++++++----- examples/conv_net/02_run_inference.py | 6 +++--- examples/linear_regression/main.py | 7 ++++--- examples/neural_net/main.py | 7 ++++--- examples/spam_detection/01_provide_model.py | 7 ++++--- examples/spam_detection/02_run_inference.py | 6 +++--- examples/time_series/main.py | 7 ++++--- 8 files changed, 32 insertions(+), 26 deletions(-) diff --git a/examples/complex_model/main.py b/examples/complex_model/main.py index 86bda0e..1dcddbb 100644 --- a/examples/complex_model/main.py +++ b/examples/complex_model/main.py @@ -12,15 +12,16 @@ import numpy as np import py_nillion_client as nillion import torch +from common.utils import compute, store_program, store_secrets from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nada_ai.client import TorchClient -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from py_nillion_client import NodeKey, UserKey -from common.utils import compute, store_program, store_secrets +from nada_ai.client import TorchClient home = os.getenv("HOME") load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") diff --git a/examples/conv_net/01_provide_model.py b/examples/conv_net/01_provide_model.py index 935a340..994351f 100644 --- a/examples/conv_net/01_provide_model.py +++ b/examples/conv_net/01_provide_model.py @@ -9,19 +9,20 @@ import asyncio import json -import torch -from torch import nn import nada_numpy as na import py_nillion_client as nillion +import torch +from common.utils import store_program, store_secrets from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nada_ai.client import TorchClient -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from py_nillion_client import NodeKey, UserKey +from torch import nn -from common.utils import store_program, store_secrets +from nada_ai.client import TorchClient PARSER = argparse.ArgumentParser() PARSER.add_argument( diff --git a/examples/conv_net/02_run_inference.py b/examples/conv_net/02_run_inference.py index b25488f..75c8040 100644 --- a/examples/conv_net/02_run_inference.py +++ b/examples/conv_net/02_run_inference.py @@ -14,15 +14,15 @@ import nada_numpy.client as na_client import numpy as np import py_nillion_client as nillion +from common.utils import compute, store_secret_array from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from py_nillion_client import NodeKey, UserKey -from common.utils import compute, store_secret_array - PARSER = argparse.ArgumentParser() PARSER.add_argument( "--features-path", diff --git a/examples/linear_regression/main.py b/examples/linear_regression/main.py index f0393f4..f42b397 100644 --- a/examples/linear_regression/main.py +++ b/examples/linear_regression/main.py @@ -11,17 +11,18 @@ import nada_numpy.client as na_client import numpy as np import py_nillion_client as nillion +from common.utils import compute, store_program, store_secrets from config import DIM from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nada_ai.client import SklearnClient -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from py_nillion_client import NodeKey, UserKey from sklearn.linear_model import LinearRegression -from common.utils import compute, store_program, store_secrets +from nada_ai.client import SklearnClient home = os.getenv("HOME") load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") diff --git a/examples/neural_net/main.py b/examples/neural_net/main.py index f4c2c93..968d4b8 100644 --- a/examples/neural_net/main.py +++ b/examples/neural_net/main.py @@ -12,16 +12,17 @@ import numpy as np import py_nillion_client as nillion import torch +from common.utils import compute, store_program, store_secrets from config import DIM from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nada_ai.client import TorchClient -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from py_nillion_client import NodeKey, UserKey -from common.utils import compute, store_program, store_secrets +from nada_ai.client import TorchClient home = os.getenv("HOME") load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") diff --git a/examples/spam_detection/01_provide_model.py b/examples/spam_detection/01_provide_model.py index cdc5ae8..d262d15 100644 --- a/examples/spam_detection/01_provide_model.py +++ b/examples/spam_detection/01_provide_model.py @@ -12,15 +12,16 @@ import joblib import nada_numpy as na import py_nillion_client as nillion +from common.utils import store_program, store_secrets from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nada_ai.client import SklearnClient -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from py_nillion_client import NodeKey, UserKey -from common.utils import store_program, store_secrets +from nada_ai.client import SklearnClient PARSER = argparse.ArgumentParser() PARSER.add_argument( diff --git a/examples/spam_detection/02_run_inference.py b/examples/spam_detection/02_run_inference.py index 27d3f4c..a988a0e 100644 --- a/examples/spam_detection/02_run_inference.py +++ b/examples/spam_detection/02_run_inference.py @@ -14,15 +14,15 @@ import nada_numpy.client as na_client import numpy as np import py_nillion_client as nillion +from common.utils import compute, store_secret_array from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from py_nillion_client import NodeKey, UserKey -from common.utils import compute, store_secret_array - PARSER = argparse.ArgumentParser() PARSER.add_argument( "--features-path", diff --git a/examples/time_series/main.py b/examples/time_series/main.py index dbc07b3..b7981fe 100644 --- a/examples/time_series/main.py +++ b/examples/time_series/main.py @@ -12,17 +12,18 @@ import numpy as np import pandas as pd import py_nillion_client as nillion +from common.utils import compute, store_program, store_secrets from config import DIM, FORECAST_HORIZON from cosmpy.aerial.client import LedgerClient from cosmpy.aerial.wallet import LocalWallet from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nada_ai.client import ProphetClient -from nillion_python_helpers import create_nillion_client, create_payments_config +from nillion_python_helpers import (create_nillion_client, + create_payments_config) from prophet import Prophet from py_nillion_client import NodeKey, UserKey -from common.utils import compute, store_program, store_secrets +from nada_ai.client import ProphetClient home = os.getenv("HOME") load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") From e4cdc841df8ba41c4531beb3570768c32a7e0297 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Cabrero-Holgueras?= Date: Thu, 29 Aug 2024 12:05:38 +0000 Subject: [PATCH 2/7] fix: linting --- examples/complex_model/src/my_model.py | 1 + examples/conv_net/src/my_nn.py | 1 + examples/linear_regression/src/linear_regression.py | 1 + examples/neural_net/src/my_nn.py | 1 + examples/spam_detection/src/spam_detection.py | 3 ++- examples/time_series/src/time_series.py | 3 ++- 6 files changed, 8 insertions(+), 2 deletions(-) diff --git a/examples/complex_model/src/my_model.py b/examples/complex_model/src/my_model.py index a43b06e..0a8cb0e 100644 --- a/examples/complex_model/src/my_model.py +++ b/examples/complex_model/src/my_model.py @@ -1,4 +1,5 @@ import nada_numpy as na + from nada_ai import nn diff --git a/examples/conv_net/src/my_nn.py b/examples/conv_net/src/my_nn.py index 61f8ea2..20e9caf 100644 --- a/examples/conv_net/src/my_nn.py +++ b/examples/conv_net/src/my_nn.py @@ -1,4 +1,5 @@ import nada_numpy as na + from nada_ai import nn diff --git a/examples/linear_regression/src/linear_regression.py b/examples/linear_regression/src/linear_regression.py index ffd8301..d942816 100644 --- a/examples/linear_regression/src/linear_regression.py +++ b/examples/linear_regression/src/linear_regression.py @@ -1,5 +1,6 @@ import nada_numpy as na from config import DIM + from nada_ai.linear_model import LinearRegression diff --git a/examples/neural_net/src/my_nn.py b/examples/neural_net/src/my_nn.py index 6d6ef20..2f801e3 100644 --- a/examples/neural_net/src/my_nn.py +++ b/examples/neural_net/src/my_nn.py @@ -1,5 +1,6 @@ import nada_numpy as na from config import DIM + from nada_ai import nn diff --git a/examples/spam_detection/src/spam_detection.py b/examples/spam_detection/src/spam_detection.py index 6a41397..eaa7d9f 100644 --- a/examples/spam_detection/src/spam_detection.py +++ b/examples/spam_detection/src/spam_detection.py @@ -1,8 +1,9 @@ import nada_numpy as na from config import DIM -from nada_ai.linear_model import LogisticRegression from nada_dsl import Party +from nada_ai.linear_model import LogisticRegression + def nada_main(): # Step 1: We use Nada NumPy wrapper to create "Party" and "Party1" diff --git a/examples/time_series/src/time_series.py b/examples/time_series/src/time_series.py index 0009752..7c09bc6 100644 --- a/examples/time_series/src/time_series.py +++ b/examples/time_series/src/time_series.py @@ -3,9 +3,10 @@ import nada_numpy as na import numpy as np from config import TIME_HORIZON -from nada_ai.time_series import Prophet from nada_dsl import Output +from nada_ai.time_series import Prophet + def nada_main() -> List[Output]: """ From 2427064676a71633eececf95561c77646636b868 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Cabrero-Holgueras?= Date: Thu, 29 Aug 2024 12:06:03 +0000 Subject: [PATCH 3/7] chore: updated examples to Nada DSL version 0.6.0 --- .../complex_model/tests/complex_model.yaml | 222 +- examples/conv_net/tests/conv_net.yaml | 949 ++---- .../tests/linear_regression.yaml | 66 +- examples/neural_net/tests/neural_net.yaml | 168 +- .../spam_detection/tests/spam_detection.yaml | 3006 ++++++----------- examples/time_series/tests/time_series.yaml | 279 +- 6 files changed, 1563 insertions(+), 3127 deletions(-) diff --git a/examples/complex_model/tests/complex_model.yaml b/examples/complex_model/tests/complex_model.yaml index 95492b1..c58c7a9 100644 --- a/examples/complex_model/tests/complex_model.yaml +++ b/examples/complex_model/tests/complex_model.yaml @@ -1,151 +1,77 @@ program: complex_model inputs: - my_input_2_1_0: - SecretInteger: '163840' - my_input_2_2_0: - SecretInteger: '163840' - my_input_0_0_2: - SecretInteger: '163840' - my_model_linear.bias_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_0_0_0: - SecretInteger: '163840' - my_model_linear.weight_1_1: - SecretInteger: '163840' - my_input_0_1_2: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_1_1_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_2_0_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_0_1_0: - SecretInteger: '163840' - my_input_2_1_1: - SecretInteger: '163840' - my_input_1_1_2: - SecretInteger: '163840' - my_input_2_1_2: - SecretInteger: '163840' - my_input_1_2_2: - SecretInteger: '163840' - my_input_2_3_0: - SecretInteger: '163840' - my_input_0_2_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_2_0_1: - SecretInteger: '163840' - my_input_1_1_1: - SecretInteger: '163840' - my_input_2_2_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_1_0_0: - SecretInteger: '163840' - my_input_0_2_1: - SecretInteger: '163840' - my_input_0_0_1: - SecretInteger: '163840' - my_model_linear.weight_1_2: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_1_0_1: - SecretInteger: '163840' - my_model_linear.weight_1_3: - SecretInteger: '163840' - my_input_0_0_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_0_1_1: - SecretInteger: '163840' - my_model_conv_module.conv.bias_1: - SecretInteger: '163840' - my_input_1_1_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_2_1_0: - SecretInteger: '163840' - my_input_1_3_0: - SecretInteger: '163840' - my_model_conv_module.conv.bias_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_1_1_1: - SecretInteger: '163840' - my_input_0_3_1: - SecretInteger: '163840' - my_input_2_0_0: - SecretInteger: '163840' - my_input_2_2_2: - SecretInteger: '163840' - my_model_linear.weight_0_0: - SecretInteger: '163840' - my_model_linear.weight_0_3: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_2_1_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_0_0_1: - SecretInteger: '163840' - my_model_linear.weight_0_1: - SecretInteger: '163840' - my_input_2_3_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_1_1_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_0_1_0: - SecretInteger: '163840' - my_input_2_0_1: - SecretInteger: '163840' - my_input_1_3_2: - SecretInteger: '163840' - my_input_1_0_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_0_0_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_1_0_0: - SecretInteger: '163840' - my_model_linear.weight_1_0: - SecretInteger: '163840' - my_input_2_0_2: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_2_0_0: - SecretInteger: '163840' - my_input_1_0_2: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_0_0_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_2_1_1: - SecretInteger: '163840' - my_input_0_2_2: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_2_0_0: - SecretInteger: '163840' - my_model_linear.bias_1: - SecretInteger: '163840' - my_input_1_0_0: - SecretInteger: '163840' - my_input_0_3_2: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_0_1_1: - SecretInteger: '163840' - my_model_conv_module.conv.weight_1_1_1_0: - SecretInteger: '163840' - my_input_1_2_0: - SecretInteger: '163840' - my_input_0_1_1: - SecretInteger: '163840' - my_input_0_3_0: - SecretInteger: '163840' - my_model_linear.weight_0_2: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_2_1_0: - SecretInteger: '163840' - my_model_conv_module.conv.weight_0_1_0_1: - SecretInteger: '163840' - my_input_1_2_1: - SecretInteger: '163840' - my_input_1_3_1: - SecretInteger: '163840' - my_input_0_1_0: - SecretInteger: '163840' - my_input_2_3_2: - SecretInteger: '163840' + my_input_2_1_0: 163840 + my_input_2_2_0: 163840 + my_input_0_0_2: 163840 + my_model_linear.bias_0: 163840 + my_model_conv_module.conv.weight_1_0_0_0: 163840 + my_model_linear.weight_1_1: 163840 + my_input_0_1_2: 163840 + my_model_conv_module.conv.weight_0_1_1_0: 163840 + my_model_conv_module.conv.weight_0_2_0_1: 163840 + my_model_conv_module.conv.weight_1_0_1_0: 163840 + my_input_2_1_1: 163840 + my_input_1_1_2: 163840 + my_input_2_1_2: 163840 + my_input_1_2_2: 163840 + my_input_2_3_0: 163840 + my_input_0_2_0: 163840 + my_model_conv_module.conv.weight_1_2_0_1: 163840 + my_input_1_1_1: 163840 + my_input_2_2_1: 163840 + my_model_conv_module.conv.weight_0_1_0_0: 163840 + my_input_0_2_1: 163840 + my_input_0_0_1: 163840 + my_model_linear.weight_1_2: 163840 + my_model_conv_module.conv.weight_1_1_0_1: 163840 + my_model_linear.weight_1_3: 163840 + my_input_0_0_0: 163840 + my_model_conv_module.conv.weight_0_0_1_1: 163840 + my_model_conv_module.conv.bias_1: 163840 + my_input_1_1_0: 163840 + my_model_conv_module.conv.weight_1_2_1_0: 163840 + my_input_1_3_0: 163840 + my_model_conv_module.conv.bias_0: 163840 + my_model_conv_module.conv.weight_1_1_1_1: 163840 + my_input_0_3_1: 163840 + my_input_2_0_0: 163840 + my_input_2_2_2: 163840 + my_model_linear.weight_0_0: 163840 + my_model_linear.weight_0_3: 163840 + my_model_conv_module.conv.weight_0_2_1_1: 163840 + my_model_conv_module.conv.weight_1_0_0_1: 163840 + my_model_linear.weight_0_1: 163840 + my_input_2_3_1: 163840 + my_model_conv_module.conv.weight_0_1_1_1: 163840 + my_model_conv_module.conv.weight_0_0_1_0: 163840 + my_input_2_0_1: 163840 + my_input_1_3_2: 163840 + my_input_1_0_1: 163840 + my_model_conv_module.conv.weight_0_0_0_1: 163840 + my_model_conv_module.conv.weight_1_1_0_0: 163840 + my_model_linear.weight_1_0: 163840 + my_input_2_0_2: 163840 + my_model_conv_module.conv.weight_0_2_0_0: 163840 + my_input_1_0_2: 163840 + my_model_conv_module.conv.weight_0_0_0_0: 163840 + my_model_conv_module.conv.weight_1_2_1_1: 163840 + my_input_0_2_2: 163840 + my_model_conv_module.conv.weight_1_2_0_0: 163840 + my_model_linear.bias_1: 163840 + my_input_1_0_0: 163840 + my_input_0_3_2: 163840 + my_model_conv_module.conv.weight_1_0_1_1: 163840 + my_model_conv_module.conv.weight_1_1_1_0: 163840 + my_input_1_2_0: 163840 + my_input_0_1_1: 163840 + my_input_0_3_0: 163840 + my_model_linear.weight_0_2: 163840 + my_model_conv_module.conv.weight_0_2_1_0: 163840 + my_model_conv_module.conv.weight_0_1_0_1: 163840 + my_input_1_2_1: 163840 + my_input_1_3_1: 163840 + my_input_0_1_0: 163840 + my_input_2_3_2: 163840 expected_outputs: - my_output_1: - SecretInteger: '101089280' - my_output_0: - SecretInteger: '101089280' + my_output_1: 101089280 + my_output_0: 101089280 diff --git a/examples/conv_net/tests/conv_net.yaml b/examples/conv_net/tests/conv_net.yaml index 79e8e72..da5b17e 100644 --- a/examples/conv_net/tests/conv_net.yaml +++ b/examples/conv_net/tests/conv_net.yaml @@ -1,636 +1,319 @@ ---- program: conv_net inputs: - my_input_0_0_1_6: - SecretInteger: "3" - my_nn_fc1.weight_0_16: - SecretInteger: "3" - my_input_0_0_8_15: - SecretInteger: "3" - my_nn_fc1.weight_0_12: - SecretInteger: "3" - my_input_0_0_14_9: - SecretInteger: "3" - my_input_0_0_14_7: - SecretInteger: "3" - my_input_0_0_2_7: - SecretInteger: "3" - my_input_0_0_11_3: - SecretInteger: "3" - my_input_0_0_13_9: - SecretInteger: "3" - my_input_0_0_8_2: - SecretInteger: "3" - my_input_0_0_0_11: - SecretInteger: "3" - my_input_0_0_4_10: - SecretInteger: "3" - my_input_0_0_0_1: - SecretInteger: "3" - my_input_0_0_13_7: - SecretInteger: "3" - my_input_0_0_10_1: - SecretInteger: "3" - my_nn_fc1.bias_1: - SecretInteger: "3" - my_input_0_0_12_14: - SecretInteger: "3" - my_input_0_0_11_12: - SecretInteger: "3" - my_input_0_0_15_10: - SecretInteger: "3" - my_input_0_0_14_5: - SecretInteger: "3" - my_input_0_0_15_3: - SecretInteger: "3" - my_input_0_0_5_15: - SecretInteger: "3" - my_input_0_0_7_4: - SecretInteger: "3" - my_input_0_0_3_14: - SecretInteger: "3" - my_input_0_0_2_13: - SecretInteger: "3" - my_input_0_0_2_12: - SecretInteger: "3" - my_input_0_0_0_12: - SecretInteger: "3" - my_input_0_0_11_6: - SecretInteger: "3" - my_input_0_0_4_8: - SecretInteger: "3" - my_nn_fc1.weight_0_9: - SecretInteger: "3" - my_input_0_0_13_3: - SecretInteger: "3" - my_nn_conv1.weight_1_0_0_0: - SecretInteger: "3" - my_input_0_0_2_14: - SecretInteger: "3" - my_input_0_0_10_10: - SecretInteger: "3" - my_nn_fc1.weight_1_12: - SecretInteger: "3" - my_input_0_0_13_8: - SecretInteger: "3" - my_nn_conv1.weight_1_0_2_0: - SecretInteger: "3" - my_input_0_0_1_11: - SecretInteger: "3" - my_nn_conv1.weight_1_0_2_2: - SecretInteger: "3" - my_input_0_0_3_15: - SecretInteger: "3" - my_input_0_0_4_14: - SecretInteger: "3" - my_input_0_0_9_4: - SecretInteger: "3" - my_nn_fc1.weight_1_0: - SecretInteger: "3" - my_input_0_0_11_14: - SecretInteger: "3" - my_input_0_0_12_6: - SecretInteger: "3" - my_input_0_0_7_11: - SecretInteger: "3" - my_input_0_0_5_1: - SecretInteger: "3" - my_input_0_0_0_8: - SecretInteger: "3" - my_input_0_0_12_3: - SecretInteger: "3" - my_input_0_0_15_1: - SecretInteger: "3" - my_nn_fc1.weight_1_13: - SecretInteger: "3" - my_input_0_0_12_0: - SecretInteger: "3" - my_input_0_0_8_9: - SecretInteger: "3" - my_nn_fc1.weight_1_6: - SecretInteger: "3" - my_input_0_0_7_7: - SecretInteger: "3" - my_input_0_0_0_15: - SecretInteger: "3" - my_nn_conv1.weight_1_0_1_0: - SecretInteger: "3" - my_input_0_0_13_14: - SecretInteger: "3" - my_input_0_0_1_1: - SecretInteger: "3" - my_input_0_0_11_0: - SecretInteger: "3" - my_input_0_0_5_14: - SecretInteger: "3" - my_input_0_0_15_2: - SecretInteger: "3" - my_input_0_0_8_3: - SecretInteger: "3" - my_input_0_0_9_2: - SecretInteger: "3" - my_input_0_0_9_1: - SecretInteger: "3" - my_nn_fc1.weight_1_10: - SecretInteger: "3" - my_input_0_0_10_4: - SecretInteger: "3" - my_input_0_0_6_0: - SecretInteger: "3" - my_input_0_0_6_4: - SecretInteger: "3" - my_nn_conv1.weight_1_0_1_1: - SecretInteger: "3" - my_input_0_0_12_7: - SecretInteger: "3" - my_nn_conv1.bias_1: - SecretInteger: "3" - my_nn_conv1.weight_0_0_1_1: - SecretInteger: "3" - my_input_0_0_5_12: - SecretInteger: "3" - my_input_0_0_5_10: - SecretInteger: "3" - my_input_0_0_9_0: - SecretInteger: "3" - my_nn_fc1.weight_0_10: - SecretInteger: "3" - my_nn_conv1.weight_1_0_2_1: - SecretInteger: "3" - my_input_0_0_9_3: - SecretInteger: "3" - my_nn_fc1.weight_0_7: - SecretInteger: "3" - my_input_0_0_4_4: - SecretInteger: "3" - my_nn_fc1.weight_1_17: - SecretInteger: "3" - my_input_0_0_14_11: - SecretInteger: "3" - my_input_0_0_12_8: - SecretInteger: "3" - my_input_0_0_9_5: - SecretInteger: "3" - my_input_0_0_10_12: - SecretInteger: "3" - my_nn_fc1.weight_0_3: - SecretInteger: "3" - my_input_0_0_13_5: - SecretInteger: "3" - my_input_0_0_7_6: - SecretInteger: "3" - my_nn_conv1.weight_0_0_1_2: - SecretInteger: "3" - my_input_0_0_12_2: - SecretInteger: "3" - my_input_0_0_12_11: - SecretInteger: "3" - my_input_0_0_13_11: - SecretInteger: "3" - my_input_0_0_14_6: - SecretInteger: "3" - my_input_0_0_11_1: - SecretInteger: "3" - my_input_0_0_5_11: - SecretInteger: "3" - my_input_0_0_7_1: - SecretInteger: "3" - my_input_0_0_2_10: - SecretInteger: "3" - my_input_0_0_1_2: - SecretInteger: "3" - my_input_0_0_11_11: - SecretInteger: "3" - my_input_0_0_9_11: - SecretInteger: "3" - my_nn_fc1.weight_0_5: - SecretInteger: "3" - my_input_0_0_10_13: - SecretInteger: "3" - my_input_0_0_8_6: - SecretInteger: "3" - my_input_0_0_7_5: - SecretInteger: "3" - my_input_0_0_15_14: - SecretInteger: "3" - my_input_0_0_10_15: - SecretInteger: "3" - my_input_0_0_6_1: - SecretInteger: "3" - my_input_0_0_2_9: - SecretInteger: "3" - my_nn_conv1.weight_0_0_0_2: - SecretInteger: "3" - my_input_0_0_8_13: - SecretInteger: "3" - my_input_0_0_8_7: - SecretInteger: "3" - my_input_0_0_15_4: - SecretInteger: "3" - my_input_0_0_1_9: - SecretInteger: "3" - my_input_0_0_0_5: - SecretInteger: "3" - my_nn_fc1.weight_0_15: - SecretInteger: "3" - my_input_0_0_12_5: - SecretInteger: "3" - my_input_0_0_9_7: - SecretInteger: "3" - my_input_0_0_0_7: - SecretInteger: "3" - my_input_0_0_4_1: - SecretInteger: "3" - my_input_0_0_3_10: - SecretInteger: "3" - my_input_0_0_0_9: - SecretInteger: "3" - my_input_0_0_1_4: - SecretInteger: "3" - my_input_0_0_7_15: - SecretInteger: "3" - my_input_0_0_11_13: - SecretInteger: "3" - my_input_0_0_12_9: - SecretInteger: "3" - my_input_0_0_1_10: - SecretInteger: "3" - my_input_0_0_13_1: - SecretInteger: "3" - my_input_0_0_11_15: - SecretInteger: "3" - my_input_0_0_0_10: - SecretInteger: "3" - my_input_0_0_1_15: - SecretInteger: "3" - my_input_0_0_1_7: - SecretInteger: "3" - my_input_0_0_3_4: - SecretInteger: "3" - my_input_0_0_11_5: - SecretInteger: "3" - my_input_0_0_12_13: - SecretInteger: "3" - my_input_0_0_11_4: - SecretInteger: "3" - my_nn_fc1.weight_0_0: - SecretInteger: "3" - my_input_0_0_14_13: - SecretInteger: "3" - my_input_0_0_13_12: - SecretInteger: "3" - my_input_0_0_10_8: - SecretInteger: "3" - my_input_0_0_13_15: - SecretInteger: "3" - my_input_0_0_3_0: - SecretInteger: "3" - my_input_0_0_0_2: - SecretInteger: "3" - my_input_0_0_3_6: - SecretInteger: "3" - my_input_0_0_11_8: - SecretInteger: "3" - my_nn_fc1.weight_0_1: - SecretInteger: "3" - my_input_0_0_6_6: - SecretInteger: "3" - my_input_0_0_1_8: - SecretInteger: "3" - my_input_0_0_1_0: - SecretInteger: "3" - my_input_0_0_14_12: - SecretInteger: "3" - my_input_0_0_15_13: - SecretInteger: "3" - my_input_0_0_7_14: - SecretInteger: "3" - my_input_0_0_3_11: - SecretInteger: "3" - my_input_0_0_14_10: - SecretInteger: "3" - my_input_0_0_14_1: - SecretInteger: "3" - my_input_0_0_14_3: - SecretInteger: "3" - my_input_0_0_10_6: - SecretInteger: "3" - my_input_0_0_10_0: - SecretInteger: "3" - my_input_0_0_8_8: - SecretInteger: "3" - my_input_0_0_15_12: - SecretInteger: "3" - my_input_0_0_3_1: - SecretInteger: "3" - my_input_0_0_2_8: - SecretInteger: "3" - my_input_0_0_7_12: - SecretInteger: "3" - my_input_0_0_0_0: - SecretInteger: "3" - my_input_0_0_4_0: - SecretInteger: "3" - my_input_0_0_15_9: - SecretInteger: "3" - my_input_0_0_0_13: - SecretInteger: "3" - my_input_0_0_2_4: - SecretInteger: "3" - my_input_0_0_1_12: - SecretInteger: "3" - my_input_0_0_11_10: - SecretInteger: "3" - my_nn_fc1.weight_1_7: - SecretInteger: "3" - my_input_0_0_8_10: - SecretInteger: "3" - my_input_0_0_2_2: - SecretInteger: "3" - my_input_0_0_13_10: - SecretInteger: "3" - my_input_0_0_6_13: - SecretInteger: "3" - my_input_0_0_8_4: - SecretInteger: "3" - my_input_0_0_6_9: - SecretInteger: "3" - my_input_0_0_14_4: - SecretInteger: "3" - my_input_0_0_6_14: - SecretInteger: "3" - my_input_0_0_6_11: - SecretInteger: "3" - my_input_0_0_4_3: - SecretInteger: "3" - my_input_0_0_7_13: - SecretInteger: "3" - my_input_0_0_4_6: - SecretInteger: "3" - my_input_0_0_10_2: - SecretInteger: "3" - my_input_0_0_9_15: - SecretInteger: "3" - my_nn_fc1.weight_0_14: - SecretInteger: "3" - my_input_0_0_0_14: - SecretInteger: "3" - my_input_0_0_9_6: - SecretInteger: "3" - my_input_0_0_10_11: - SecretInteger: "3" - my_input_0_0_3_12: - SecretInteger: "3" - my_input_0_0_1_13: - SecretInteger: "3" - my_input_0_0_13_2: - SecretInteger: "3" - my_input_0_0_3_7: - SecretInteger: "3" - my_input_0_0_3_2: - SecretInteger: "3" - my_input_0_0_4_5: - SecretInteger: "3" - my_input_0_0_12_4: - SecretInteger: "3" - my_input_0_0_2_15: - SecretInteger: "3" - my_input_0_0_15_11: - SecretInteger: "3" - my_input_0_0_13_0: - SecretInteger: "3" - my_input_0_0_10_7: - SecretInteger: "3" - my_input_0_0_7_8: - SecretInteger: "3" - my_input_0_0_4_13: - SecretInteger: "3" - my_input_0_0_4_2: - SecretInteger: "3" - my_input_0_0_8_1: - SecretInteger: "3" - my_input_0_0_14_14: - SecretInteger: "3" - my_input_0_0_5_0: - SecretInteger: "3" - my_nn_fc1.bias_0: - SecretInteger: "3" - my_nn_fc1.weight_1_15: - SecretInteger: "3" - my_input_0_0_5_4: - SecretInteger: "3" - my_input_0_0_0_4: - SecretInteger: "3" - my_nn_fc1.weight_1_8: - SecretInteger: "3" - my_input_0_0_9_9: - SecretInteger: "3" - my_input_0_0_2_3: - SecretInteger: "3" - my_input_0_0_0_3: - SecretInteger: "3" - my_input_0_0_9_13: - SecretInteger: "3" - my_nn_fc1.weight_1_9: - SecretInteger: "3" - my_input_0_0_3_5: - SecretInteger: "3" - my_input_0_0_7_0: - SecretInteger: "3" - my_input_0_0_6_10: - SecretInteger: "3" - my_nn_fc1.weight_0_6: - SecretInteger: "3" - my_input_0_0_8_5: - SecretInteger: "3" - my_input_0_0_10_9: - SecretInteger: "3" - my_input_0_0_5_9: - SecretInteger: "3" - my_nn_fc1.weight_1_16: - SecretInteger: "3" - my_input_0_0_14_15: - SecretInteger: "3" - my_input_0_0_2_6: - SecretInteger: "3" - my_input_0_0_14_0: - SecretInteger: "3" - my_input_0_0_10_3: - SecretInteger: "3" - my_input_0_0_10_5: - SecretInteger: "3" - my_input_0_0_4_11: - SecretInteger: "3" - my_input_0_0_1_14: - SecretInteger: "3" - my_nn_conv1.weight_1_0_1_2: - SecretInteger: "3" - my_input_0_0_15_8: - SecretInteger: "3" - my_input_0_0_3_13: - SecretInteger: "3" - my_nn_conv1.weight_1_0_0_1: - SecretInteger: "3" - my_input_0_0_2_0: - SecretInteger: "3" - my_input_0_0_1_3: - SecretInteger: "3" - my_nn_fc1.weight_1_11: - SecretInteger: "3" - my_nn_fc1.weight_0_13: - SecretInteger: "3" - my_input_0_0_12_1: - SecretInteger: "3" - my_input_0_0_15_7: - SecretInteger: "3" - my_input_0_0_14_8: - SecretInteger: "3" - my_input_0_0_15_15: - SecretInteger: "3" - my_input_0_0_6_8: - SecretInteger: "3" - my_input_0_0_5_2: - SecretInteger: "3" - my_input_0_0_2_5: - SecretInteger: "3" - my_nn_fc1.weight_1_5: - SecretInteger: "3" - my_input_0_0_12_10: - SecretInteger: "3" - my_nn_conv1.bias_0: - SecretInteger: "3" - my_input_0_0_7_10: - SecretInteger: "3" - my_input_0_0_8_14: - SecretInteger: "3" - my_input_0_0_7_3: - SecretInteger: "3" - my_input_0_0_6_2: - SecretInteger: "3" - my_input_0_0_5_13: - SecretInteger: "3" - my_nn_fc1.weight_1_2: - SecretInteger: "3" - my_nn_fc1.weight_1_1: - SecretInteger: "3" - my_nn_fc1.weight_0_17: - SecretInteger: "3" - my_input_0_0_13_6: - SecretInteger: "3" - my_input_0_0_1_5: - SecretInteger: "3" - my_input_0_0_0_6: - SecretInteger: "3" - my_input_0_0_7_2: - SecretInteger: "3" - my_input_0_0_9_12: - SecretInteger: "3" - my_input_0_0_6_12: - SecretInteger: "3" - my_input_0_0_4_7: - SecretInteger: "3" - my_input_0_0_9_14: - SecretInteger: "3" - my_nn_fc1.weight_0_4: - SecretInteger: "3" - my_nn_conv1.weight_0_0_2_0: - SecretInteger: "3" - my_input_0_0_13_4: - SecretInteger: "3" - my_input_0_0_6_5: - SecretInteger: "3" - my_input_0_0_3_3: - SecretInteger: "3" - my_input_0_0_5_3: - SecretInteger: "3" - my_nn_conv1.weight_0_0_0_1: - SecretInteger: "3" - my_input_0_0_4_9: - SecretInteger: "3" - my_nn_fc1.weight_1_4: - SecretInteger: "3" - my_nn_conv1.weight_0_0_0_0: - SecretInteger: "3" - my_input_0_0_15_6: - SecretInteger: "3" - my_input_0_0_8_12: - SecretInteger: "3" - my_input_0_0_10_14: - SecretInteger: "3" - my_input_0_0_9_8: - SecretInteger: "3" - my_input_0_0_5_7: - SecretInteger: "3" - my_nn_fc1.weight_1_14: - SecretInteger: "3" - my_nn_conv1.weight_0_0_2_2: - SecretInteger: "3" - my_nn_conv1.weight_0_0_1_0: - SecretInteger: "3" - my_input_0_0_4_15: - SecretInteger: "3" - my_input_0_0_6_7: - SecretInteger: "3" - my_input_0_0_8_11: - SecretInteger: "3" - my_input_0_0_5_8: - SecretInteger: "3" - my_input_0_0_4_12: - SecretInteger: "3" - my_input_0_0_12_12: - SecretInteger: "3" - my_input_0_0_2_11: - SecretInteger: "3" - my_nn_fc1.weight_1_3: - SecretInteger: "3" - my_input_0_0_3_9: - SecretInteger: "3" - my_input_0_0_2_1: - SecretInteger: "3" - my_nn_fc1.weight_0_8: - SecretInteger: "3" - my_input_0_0_5_5: - SecretInteger: "3" - my_input_0_0_11_2: - SecretInteger: "3" - my_input_0_0_6_3: - SecretInteger: "3" - my_nn_fc1.weight_0_11: - SecretInteger: "3" - my_input_0_0_11_7: - SecretInteger: "3" - my_input_0_0_15_0: - SecretInteger: "3" - my_nn_conv1.weight_1_0_0_2: - SecretInteger: "3" - my_input_0_0_15_5: - SecretInteger: "3" - my_input_0_0_13_13: - SecretInteger: "3" - my_input_0_0_11_9: - SecretInteger: "3" - my_input_0_0_6_15: - SecretInteger: "3" - my_input_0_0_9_10: - SecretInteger: "3" - my_input_0_0_5_6: - SecretInteger: "3" - my_nn_fc1.weight_0_2: - SecretInteger: "3" - my_input_0_0_14_2: - SecretInteger: "3" - my_nn_conv1.weight_0_0_2_1: - SecretInteger: "3" - my_input_0_0_7_9: - SecretInteger: "3" - my_input_0_0_8_0: - SecretInteger: "3" - my_input_0_0_3_8: - SecretInteger: "3" - my_input_0_0_12_15: - SecretInteger: "3" + my_input_0_0_1_6: 3 + my_nn_fc1.weight_0_16: 3 + my_input_0_0_8_15: 3 + my_nn_fc1.weight_0_12: 3 + my_input_0_0_14_9: 3 + my_input_0_0_14_7: 3 + my_input_0_0_2_7: 3 + my_input_0_0_11_3: 3 + my_input_0_0_13_9: 3 + my_input_0_0_8_2: 3 + my_input_0_0_0_11: 3 + my_input_0_0_4_10: 3 + my_input_0_0_0_1: 3 + my_input_0_0_13_7: 3 + my_input_0_0_10_1: 3 + my_nn_fc1.bias_1: 3 + my_input_0_0_12_14: 3 + my_input_0_0_11_12: 3 + my_input_0_0_15_10: 3 + my_input_0_0_14_5: 3 + my_input_0_0_15_3: 3 + my_input_0_0_5_15: 3 + my_input_0_0_7_4: 3 + my_input_0_0_3_14: 3 + my_input_0_0_2_13: 3 + my_input_0_0_2_12: 3 + my_input_0_0_0_12: 3 + my_input_0_0_11_6: 3 + my_input_0_0_4_8: 3 + my_nn_fc1.weight_0_9: 3 + my_input_0_0_13_3: 3 + my_nn_conv1.weight_1_0_0_0: 3 + my_input_0_0_2_14: 3 + my_input_0_0_10_10: 3 + my_nn_fc1.weight_1_12: 3 + my_input_0_0_13_8: 3 + my_nn_conv1.weight_1_0_2_0: 3 + my_input_0_0_1_11: 3 + my_nn_conv1.weight_1_0_2_2: 3 + my_input_0_0_3_15: 3 + my_input_0_0_4_14: 3 + my_input_0_0_9_4: 3 + my_nn_fc1.weight_1_0: 3 + my_input_0_0_11_14: 3 + my_input_0_0_12_6: 3 + my_input_0_0_7_11: 3 + my_input_0_0_5_1: 3 + my_input_0_0_0_8: 3 + my_input_0_0_12_3: 3 + my_input_0_0_15_1: 3 + my_nn_fc1.weight_1_13: 3 + my_input_0_0_12_0: 3 + my_input_0_0_8_9: 3 + my_nn_fc1.weight_1_6: 3 + my_input_0_0_7_7: 3 + my_input_0_0_0_15: 3 + my_nn_conv1.weight_1_0_1_0: 3 + my_input_0_0_13_14: 3 + my_input_0_0_1_1: 3 + my_input_0_0_11_0: 3 + my_input_0_0_5_14: 3 + my_input_0_0_15_2: 3 + my_input_0_0_8_3: 3 + my_input_0_0_9_2: 3 + my_input_0_0_9_1: 3 + my_nn_fc1.weight_1_10: 3 + my_input_0_0_10_4: 3 + my_input_0_0_6_0: 3 + my_input_0_0_6_4: 3 + my_nn_conv1.weight_1_0_1_1: 3 + my_input_0_0_12_7: 3 + my_nn_conv1.bias_1: 3 + my_nn_conv1.weight_0_0_1_1: 3 + my_input_0_0_5_12: 3 + my_input_0_0_5_10: 3 + my_input_0_0_9_0: 3 + my_nn_fc1.weight_0_10: 3 + my_nn_conv1.weight_1_0_2_1: 3 + my_input_0_0_9_3: 3 + my_nn_fc1.weight_0_7: 3 + my_input_0_0_4_4: 3 + my_nn_fc1.weight_1_17: 3 + my_input_0_0_14_11: 3 + my_input_0_0_12_8: 3 + my_input_0_0_9_5: 3 + my_input_0_0_10_12: 3 + my_nn_fc1.weight_0_3: 3 + my_input_0_0_13_5: 3 + my_input_0_0_7_6: 3 + my_nn_conv1.weight_0_0_1_2: 3 + my_input_0_0_12_2: 3 + my_input_0_0_12_11: 3 + my_input_0_0_13_11: 3 + my_input_0_0_14_6: 3 + my_input_0_0_11_1: 3 + my_input_0_0_5_11: 3 + my_input_0_0_7_1: 3 + my_input_0_0_2_10: 3 + my_input_0_0_1_2: 3 + my_input_0_0_11_11: 3 + my_input_0_0_9_11: 3 + my_nn_fc1.weight_0_5: 3 + my_input_0_0_10_13: 3 + my_input_0_0_8_6: 3 + my_input_0_0_7_5: 3 + my_input_0_0_15_14: 3 + my_input_0_0_10_15: 3 + my_input_0_0_6_1: 3 + my_input_0_0_2_9: 3 + my_nn_conv1.weight_0_0_0_2: 3 + my_input_0_0_8_13: 3 + my_input_0_0_8_7: 3 + my_input_0_0_15_4: 3 + my_input_0_0_1_9: 3 + my_input_0_0_0_5: 3 + my_nn_fc1.weight_0_15: 3 + my_input_0_0_12_5: 3 + my_input_0_0_9_7: 3 + my_input_0_0_0_7: 3 + my_input_0_0_4_1: 3 + my_input_0_0_3_10: 3 + my_input_0_0_0_9: 3 + my_input_0_0_1_4: 3 + my_input_0_0_7_15: 3 + my_input_0_0_11_13: 3 + my_input_0_0_12_9: 3 + my_input_0_0_1_10: 3 + my_input_0_0_13_1: 3 + my_input_0_0_11_15: 3 + my_input_0_0_0_10: 3 + my_input_0_0_1_15: 3 + my_input_0_0_1_7: 3 + my_input_0_0_3_4: 3 + my_input_0_0_11_5: 3 + my_input_0_0_12_13: 3 + my_input_0_0_11_4: 3 + my_nn_fc1.weight_0_0: 3 + my_input_0_0_14_13: 3 + my_input_0_0_13_12: 3 + my_input_0_0_10_8: 3 + my_input_0_0_13_15: 3 + my_input_0_0_3_0: 3 + my_input_0_0_0_2: 3 + my_input_0_0_3_6: 3 + my_input_0_0_11_8: 3 + my_nn_fc1.weight_0_1: 3 + my_input_0_0_6_6: 3 + my_input_0_0_1_8: 3 + my_input_0_0_1_0: 3 + my_input_0_0_14_12: 3 + my_input_0_0_15_13: 3 + my_input_0_0_7_14: 3 + my_input_0_0_3_11: 3 + my_input_0_0_14_10: 3 + my_input_0_0_14_1: 3 + my_input_0_0_14_3: 3 + my_input_0_0_10_6: 3 + my_input_0_0_10_0: 3 + my_input_0_0_8_8: 3 + my_input_0_0_15_12: 3 + my_input_0_0_3_1: 3 + my_input_0_0_2_8: 3 + my_input_0_0_7_12: 3 + my_input_0_0_0_0: 3 + my_input_0_0_4_0: 3 + my_input_0_0_15_9: 3 + my_input_0_0_0_13: 3 + my_input_0_0_2_4: 3 + my_input_0_0_1_12: 3 + my_input_0_0_11_10: 3 + my_nn_fc1.weight_1_7: 3 + my_input_0_0_8_10: 3 + my_input_0_0_2_2: 3 + my_input_0_0_13_10: 3 + my_input_0_0_6_13: 3 + my_input_0_0_8_4: 3 + my_input_0_0_6_9: 3 + my_input_0_0_14_4: 3 + my_input_0_0_6_14: 3 + my_input_0_0_6_11: 3 + my_input_0_0_4_3: 3 + my_input_0_0_7_13: 3 + my_input_0_0_4_6: 3 + my_input_0_0_10_2: 3 + my_input_0_0_9_15: 3 + my_nn_fc1.weight_0_14: 3 + my_input_0_0_0_14: 3 + my_input_0_0_9_6: 3 + my_input_0_0_10_11: 3 + my_input_0_0_3_12: 3 + my_input_0_0_1_13: 3 + my_input_0_0_13_2: 3 + my_input_0_0_3_7: 3 + my_input_0_0_3_2: 3 + my_input_0_0_4_5: 3 + my_input_0_0_12_4: 3 + my_input_0_0_2_15: 3 + my_input_0_0_15_11: 3 + my_input_0_0_13_0: 3 + my_input_0_0_10_7: 3 + my_input_0_0_7_8: 3 + my_input_0_0_4_13: 3 + my_input_0_0_4_2: 3 + my_input_0_0_8_1: 3 + my_input_0_0_14_14: 3 + my_input_0_0_5_0: 3 + my_nn_fc1.bias_0: 3 + my_nn_fc1.weight_1_15: 3 + my_input_0_0_5_4: 3 + my_input_0_0_0_4: 3 + my_nn_fc1.weight_1_8: 3 + my_input_0_0_9_9: 3 + my_input_0_0_2_3: 3 + my_input_0_0_0_3: 3 + my_input_0_0_9_13: 3 + my_nn_fc1.weight_1_9: 3 + my_input_0_0_3_5: 3 + my_input_0_0_7_0: 3 + my_input_0_0_6_10: 3 + my_nn_fc1.weight_0_6: 3 + my_input_0_0_8_5: 3 + my_input_0_0_10_9: 3 + my_input_0_0_5_9: 3 + my_nn_fc1.weight_1_16: 3 + my_input_0_0_14_15: 3 + my_input_0_0_2_6: 3 + my_input_0_0_14_0: 3 + my_input_0_0_10_3: 3 + my_input_0_0_10_5: 3 + my_input_0_0_4_11: 3 + my_input_0_0_1_14: 3 + my_nn_conv1.weight_1_0_1_2: 3 + my_input_0_0_15_8: 3 + my_input_0_0_3_13: 3 + my_nn_conv1.weight_1_0_0_1: 3 + my_input_0_0_2_0: 3 + my_input_0_0_1_3: 3 + my_nn_fc1.weight_1_11: 3 + my_nn_fc1.weight_0_13: 3 + my_input_0_0_12_1: 3 + my_input_0_0_15_7: 3 + my_input_0_0_14_8: 3 + my_input_0_0_15_15: 3 + my_input_0_0_6_8: 3 + my_input_0_0_5_2: 3 + my_input_0_0_2_5: 3 + my_nn_fc1.weight_1_5: 3 + my_input_0_0_12_10: 3 + my_nn_conv1.bias_0: 3 + my_input_0_0_7_10: 3 + my_input_0_0_8_14: 3 + my_input_0_0_7_3: 3 + my_input_0_0_6_2: 3 + my_input_0_0_5_13: 3 + my_nn_fc1.weight_1_2: 3 + my_nn_fc1.weight_1_1: 3 + my_nn_fc1.weight_0_17: 3 + my_input_0_0_13_6: 3 + my_input_0_0_1_5: 3 + my_input_0_0_0_6: 3 + my_input_0_0_7_2: 3 + my_input_0_0_9_12: 3 + my_input_0_0_6_12: 3 + my_input_0_0_4_7: 3 + my_input_0_0_9_14: 3 + my_nn_fc1.weight_0_4: 3 + my_nn_conv1.weight_0_0_2_0: 3 + my_input_0_0_13_4: 3 + my_input_0_0_6_5: 3 + my_input_0_0_3_3: 3 + my_input_0_0_5_3: 3 + my_nn_conv1.weight_0_0_0_1: 3 + my_input_0_0_4_9: 3 + my_nn_fc1.weight_1_4: 3 + my_nn_conv1.weight_0_0_0_0: 3 + my_input_0_0_15_6: 3 + my_input_0_0_8_12: 3 + my_input_0_0_10_14: 3 + my_input_0_0_9_8: 3 + my_input_0_0_5_7: 3 + my_nn_fc1.weight_1_14: 3 + my_nn_conv1.weight_0_0_2_2: 3 + my_nn_conv1.weight_0_0_1_0: 3 + my_input_0_0_4_15: 3 + my_input_0_0_6_7: 3 + my_input_0_0_8_11: 3 + my_input_0_0_5_8: 3 + my_input_0_0_4_12: 3 + my_input_0_0_12_12: 3 + my_input_0_0_2_11: 3 + my_nn_fc1.weight_1_3: 3 + my_input_0_0_3_9: 3 + my_input_0_0_2_1: 3 + my_nn_fc1.weight_0_8: 3 + my_input_0_0_5_5: 3 + my_input_0_0_11_2: 3 + my_input_0_0_6_3: 3 + my_nn_fc1.weight_0_11: 3 + my_input_0_0_11_7: 3 + my_input_0_0_15_0: 3 + my_nn_conv1.weight_1_0_0_2: 3 + my_input_0_0_15_5: 3 + my_input_0_0_13_13: 3 + my_input_0_0_11_9: 3 + my_input_0_0_6_15: 3 + my_input_0_0_9_10: 3 + my_input_0_0_5_6: 3 + my_nn_fc1.weight_0_2: 3 + my_input_0_0_14_2: 3 + my_nn_conv1.weight_0_0_2_1: 3 + my_input_0_0_7_9: 3 + my_input_0_0_8_0: 3 + my_input_0_0_3_8: 3 + my_input_0_0_12_15: 3 expected_outputs: - my_output_0_0: - SecretInteger: "3" - my_output_0_1: - SecretInteger: "3" + my_output_0_0: 3 + my_output_0_1: 3 diff --git a/examples/linear_regression/tests/linear_regression.yaml b/examples/linear_regression/tests/linear_regression.yaml index fbebae9..d1f84bf 100644 --- a/examples/linear_regression/tests/linear_regression.yaml +++ b/examples/linear_regression/tests/linear_regression.yaml @@ -1,47 +1,25 @@ program: linear_regression inputs: - my_model_coef_0: - SecretInteger: '30669' - my_model_coef_1: - SecretInteger: '22411' - my_model_coef_2: - SecretInteger: '61182' - my_model_coef_3: - SecretInteger: '23548' - my_model_coef_4: - SecretInteger: '52068' - my_model_coef_5: - SecretInteger: '49177' - my_model_coef_6: - SecretInteger: '60541' - my_model_coef_7: - SecretInteger: '55932' - my_model_coef_8: - SecretInteger: '7771' - my_model_coef_9: - SecretInteger: '61119' - my_model_intercept_0: - SecretInteger: '45040' - my_input_0: - SecretInteger: '163840' - my_input_1: - SecretInteger: '163840' - my_input_2: - SecretInteger: '163840' - my_input_3: - SecretInteger: '163840' - my_input_4: - SecretInteger: '163840' - my_input_5: - SecretInteger: '163840' - my_input_6: - SecretInteger: '163840' - my_input_7: - SecretInteger: '163840' - my_input_8: - SecretInteger: '163840' - my_input_9: - SecretInteger: '163840' + my_model_coef_0: 30669 + my_model_coef_1: 22411 + my_model_coef_2: 61182 + my_model_coef_3: 23548 + my_model_coef_4: 52068 + my_model_coef_5: 49177 + my_model_coef_6: 60541 + my_model_coef_7: 55932 + my_model_coef_8: 7771 + my_model_coef_9: 61119 + my_model_intercept_0: 45040 + my_input_0: 163840 + my_input_1: 163840 + my_input_2: 163840 + my_input_3: 163840 + my_input_4: 163840 + my_input_5: 163840 + my_input_6: 163840 + my_input_7: 163840 + my_input_8: 163840 + my_input_9: 163840 expected_outputs: - my_output: - SecretInteger: '1106085' + my_output: 1106085 diff --git a/examples/neural_net/tests/neural_net.yaml b/examples/neural_net/tests/neural_net.yaml index 8bff483..150e103 100644 --- a/examples/neural_net/tests/neural_net.yaml +++ b/examples/neural_net/tests/neural_net.yaml @@ -1,115 +1,59 @@ program: neural_net inputs: - my_nn_linear_0.weight_1_2: - SecretInteger: '163840' - my_nn_linear_0.weight_2_4: - SecretInteger: '163840' - my_nn_linear_0.weight_1_7: - SecretInteger: '163840' - my_nn_linear_0.weight_0_4: - SecretInteger: '163840' - my_nn_linear_0.bias_2: - SecretInteger: '163840' - my_nn_linear_1.weight_0_3: - SecretInteger: '163840' - my_nn_linear_0.weight_3_1: - SecretInteger: '163840' - my_nn_linear_0.weight_3_6: - SecretInteger: '163840' - my_nn_linear_0.weight_1_3: - SecretInteger: '163840' - my_nn_linear_0.bias_3: - SecretInteger: '163840' - my_nn_linear_1.weight_1_1: - SecretInteger: '163840' - my_input_0: - SecretInteger: '163840' - my_input_4: - SecretInteger: '163840' - my_nn_linear_1.weight_0_0: - SecretInteger: '163840' - my_nn_linear_0.weight_3_0: - SecretInteger: '163840' - my_nn_linear_1.weight_1_2: - SecretInteger: '163840' - my_nn_linear_0.weight_0_1: - SecretInteger: '163840' - my_nn_linear_0.weight_2_2: - SecretInteger: '163840' - my_input_2: - SecretInteger: '163840' - my_nn_linear_1.weight_1_0: - SecretInteger: '163840' - my_input_1: - SecretInteger: '163840' - my_nn_linear_0.weight_0_0: - SecretInteger: '163840' - my_input_6: - SecretInteger: '163840' - my_nn_linear_0.weight_0_5: - SecretInteger: '163840' - my_nn_linear_1.weight_0_1: - SecretInteger: '163840' - my_nn_linear_0.weight_0_2: - SecretInteger: '163840' - my_nn_linear_0.weight_1_1: - SecretInteger: '163840' - my_nn_linear_0.weight_2_1: - SecretInteger: '163840' - my_nn_linear_0.weight_2_3: - SecretInteger: '163840' - my_nn_linear_0.weight_2_7: - SecretInteger: '163840' - my_nn_linear_1.weight_1_3: - SecretInteger: '163840' - my_nn_linear_0.bias_1: - SecretInteger: '163840' - my_nn_linear_0.weight_1_4: - SecretInteger: '163840' - my_nn_linear_0.weight_2_5: - SecretInteger: '163840' - my_nn_linear_0.weight_0_3: - SecretInteger: '163840' - my_nn_linear_0.weight_3_5: - SecretInteger: '163840' - my_nn_linear_0.weight_3_7: - SecretInteger: '163840' - my_input_5: - SecretInteger: '163840' - my_nn_linear_0.weight_2_0: - SecretInteger: '163840' - my_nn_linear_0.weight_1_0: - SecretInteger: '163840' - my_nn_linear_0.weight_1_6: - SecretInteger: '163840' - my_nn_linear_1.weight_0_2: - SecretInteger: '163840' - my_nn_linear_0.weight_3_4: - SecretInteger: '163840' - my_nn_linear_0.weight_3_3: - SecretInteger: '163840' - my_input_3: - SecretInteger: '163840' - my_nn_linear_0.weight_3_2: - SecretInteger: '163840' - my_nn_linear_1.bias_1: - SecretInteger: '163840' - my_input_7: - SecretInteger: '163840' - my_nn_linear_0.bias_0: - SecretInteger: '163840' - my_nn_linear_0.weight_0_6: - SecretInteger: '163840' - my_nn_linear_0.weight_2_6: - SecretInteger: '163840' - my_nn_linear_0.weight_1_5: - SecretInteger: '163840' - my_nn_linear_1.bias_0: - SecretInteger: '163840' - my_nn_linear_0.weight_0_7: - SecretInteger: '163840' + my_nn_linear_0.weight_1_2: 163840 + my_nn_linear_0.weight_2_4: 163840 + my_nn_linear_0.weight_1_7: 163840 + my_nn_linear_0.weight_0_4: 163840 + my_nn_linear_0.bias_2: 163840 + my_nn_linear_1.weight_0_3: 163840 + my_nn_linear_0.weight_3_1: 163840 + my_nn_linear_0.weight_3_6: 163840 + my_nn_linear_0.weight_1_3: 163840 + my_nn_linear_0.bias_3: 163840 + my_nn_linear_1.weight_1_1: 163840 + my_input_0: 163840 + my_input_4: 163840 + my_nn_linear_1.weight_0_0: 163840 + my_nn_linear_0.weight_3_0: 163840 + my_nn_linear_1.weight_1_2: 163840 + my_nn_linear_0.weight_0_1: 163840 + my_nn_linear_0.weight_2_2: 163840 + my_input_2: 163840 + my_nn_linear_1.weight_1_0: 163840 + my_input_1: 163840 + my_nn_linear_0.weight_0_0: 163840 + my_input_6: 163840 + my_nn_linear_0.weight_0_5: 163840 + my_nn_linear_1.weight_0_1: 163840 + my_nn_linear_0.weight_0_2: 163840 + my_nn_linear_0.weight_1_1: 163840 + my_nn_linear_0.weight_2_1: 163840 + my_nn_linear_0.weight_2_3: 163840 + my_nn_linear_0.weight_2_7: 163840 + my_nn_linear_1.weight_1_3: 163840 + my_nn_linear_0.bias_1: 163840 + my_nn_linear_0.weight_1_4: 163840 + my_nn_linear_0.weight_2_5: 163840 + my_nn_linear_0.weight_0_3: 163840 + my_nn_linear_0.weight_3_5: 163840 + my_nn_linear_0.weight_3_7: 163840 + my_input_5: 163840 + my_nn_linear_0.weight_2_0: 163840 + my_nn_linear_0.weight_1_0: 163840 + my_nn_linear_0.weight_1_6: 163840 + my_nn_linear_1.weight_0_2: 163840 + my_nn_linear_0.weight_3_4: 163840 + my_nn_linear_0.weight_3_3: 163840 + my_input_3: 163840 + my_nn_linear_0.weight_3_2: 163840 + my_nn_linear_1.bias_1: 163840 + my_input_7: 163840 + my_nn_linear_0.bias_0: 163840 + my_nn_linear_0.weight_0_6: 163840 + my_nn_linear_0.weight_2_6: 163840 + my_nn_linear_0.weight_1_5: 163840 + my_nn_linear_1.bias_0: 163840 + my_nn_linear_0.weight_0_7: 163840 expected_outputs: - my_output_0: - SecretInteger: '34570240' - my_output_1: - SecretInteger: '34570240' + my_output_0: 34570240 + my_output_1: 34570240 diff --git a/examples/spam_detection/tests/spam_detection.yaml b/examples/spam_detection/tests/spam_detection.yaml index 84f417c..cef2d16 100644 --- a/examples/spam_detection/tests/spam_detection.yaml +++ b/examples/spam_detection/tests/spam_detection.yaml @@ -1,2007 +1,1005 @@ program: spam_detection inputs: - my_input_81: - SecretInteger: '3' - my_input_417: - SecretInteger: '3' - my_input_168: - SecretInteger: '3' - my_input_75: - SecretInteger: '3' - my_model_coef_0_81: - SecretInteger: '3' - my_model_coef_0_194: - SecretInteger: '3' - my_model_coef_0_210: - SecretInteger: '3' - my_model_coef_0_108: - SecretInteger: '3' - my_model_coef_0_476: - SecretInteger: '3' - my_model_coef_0_182: - SecretInteger: '3' - my_input_236: - SecretInteger: '3' - my_input_13: - SecretInteger: '3' - my_model_coef_0_229: - SecretInteger: '3' - my_model_coef_0_147: - SecretInteger: '3' - my_input_468: - SecretInteger: '3' - my_model_coef_0_350: - SecretInteger: '3' - my_input_252: - SecretInteger: '3' - my_input_34: - SecretInteger: '3' - my_model_coef_0_212: - SecretInteger: '3' - my_input_330: - SecretInteger: '3' - my_input_240: - SecretInteger: '3' - my_input_133: - SecretInteger: '3' - my_model_coef_0_166: - SecretInteger: '3' - my_model_coef_0_174: - SecretInteger: '3' - my_model_coef_0_425: - SecretInteger: '3' - my_input_452: - SecretInteger: '3' - my_model_coef_0_423: - SecretInteger: '3' - my_model_coef_0_291: - SecretInteger: '3' - my_model_coef_0_359: - SecretInteger: '3' - my_model_coef_0_143: - SecretInteger: '3' - my_model_coef_0_94: - SecretInteger: '3' - my_model_coef_0_177: - SecretInteger: '3' - my_input_217: - SecretInteger: '3' - my_model_coef_0_80: - SecretInteger: '3' - my_input_336: - SecretInteger: '3' - my_input_472: - SecretInteger: '3' - my_model_coef_0_232: - SecretInteger: '3' - my_model_coef_0_274: - SecretInteger: '3' - my_model_coef_0_256: - SecretInteger: '3' - my_model_coef_0_368: - SecretInteger: '3' - my_input_47: - SecretInteger: '3' - my_input_79: - SecretInteger: '3' - my_input_409: - SecretInteger: '3' - my_model_coef_0_42: - SecretInteger: '3' - my_model_coef_0_262: - SecretInteger: '3' - my_model_coef_0_29: - SecretInteger: '3' - my_input_48: - SecretInteger: '3' - my_input_100: - SecretInteger: '3' - my_model_coef_0_483: - SecretInteger: '3' - my_input_372: - SecretInteger: '3' - my_input_276: - SecretInteger: '3' - my_input_221: - SecretInteger: '3' - my_input_349: - SecretInteger: '3' - my_model_coef_0_25: - SecretInteger: '3' - my_input_422: - SecretInteger: '3' - my_model_coef_0_379: - SecretInteger: '3' - my_input_329: - SecretInteger: '3' - my_input_482: - SecretInteger: '3' - my_model_coef_0_234: - SecretInteger: '3' - my_input_237: - SecretInteger: '3' - my_input_435: - SecretInteger: '3' - my_input_260: - SecretInteger: '3' - my_model_coef_0_400: - SecretInteger: '3' - my_model_coef_0_472: - SecretInteger: '3' - my_model_coef_0_96: - SecretInteger: '3' - my_model_coef_0_279: - SecretInteger: '3' - my_input_230: - SecretInteger: '3' - my_input_313: - SecretInteger: '3' - my_input_444: - SecretInteger: '3' - my_input_174: - SecretInteger: '3' - my_model_coef_0_236: - SecretInteger: '3' - my_input_122: - SecretInteger: '3' - my_input_461: - SecretInteger: '3' - my_input_1: - SecretInteger: '3' - my_input_314: - SecretInteger: '3' - my_input_325: - SecretInteger: '3' - my_model_coef_0_243: - SecretInteger: '3' - my_model_coef_0_383: - SecretInteger: '3' - my_input_3: - SecretInteger: '3' - my_input_195: - SecretInteger: '3' - my_input_473: - SecretInteger: '3' - my_input_464: - SecretInteger: '3' - my_input_300: - SecretInteger: '3' - my_model_coef_0_436: - SecretInteger: '3' - my_input_243: - SecretInteger: '3' - my_model_coef_0_192: - SecretInteger: '3' - my_model_coef_0_421: - SecretInteger: '3' - my_input_62: - SecretInteger: '3' - my_input_255: - SecretInteger: '3' - my_input_382: - SecretInteger: '3' - my_input_247: - SecretInteger: '3' - my_model_coef_0_116: - SecretInteger: '3' - my_input_242: - SecretInteger: '3' - my_model_coef_0_294: - SecretInteger: '3' - my_model_coef_0_59: - SecretInteger: '3' - my_model_coef_0_185: - SecretInteger: '3' - my_model_coef_0_390: - SecretInteger: '3' - my_model_coef_0_202: - SecretInteger: '3' - my_model_coef_0_304: - SecretInteger: '3' - my_model_coef_0_248: - SecretInteger: '3' - my_input_69: - SecretInteger: '3' - my_input_206: - SecretInteger: '3' - my_input_485: - SecretInteger: '3' - my_input_118: - SecretInteger: '3' - my_input_307: - SecretInteger: '3' - my_input_289: - SecretInteger: '3' - my_input_45: - SecretInteger: '3' - my_input_164: - SecretInteger: '3' - my_input_181: - SecretInteger: '3' - my_input_466: - SecretInteger: '3' - my_input_84: - SecretInteger: '3' - my_model_coef_0_208: - SecretInteger: '3' - my_input_395: - SecretInteger: '3' - my_input_127: - SecretInteger: '3' - my_input_29: - SecretInteger: '3' - my_input_144: - SecretInteger: '3' - my_input_326: - SecretInteger: '3' - my_input_495: - SecretInteger: '3' - my_input_191: - SecretInteger: '3' - my_model_coef_0_67: - SecretInteger: '3' - my_model_coef_0_394: - SecretInteger: '3' - my_input_319: - SecretInteger: '3' - my_input_126: - SecretInteger: '3' - my_input_431: - SecretInteger: '3' - my_model_coef_0_388: - SecretInteger: '3' - my_model_coef_0_227: - SecretInteger: '3' - my_input_15: - SecretInteger: '3' - my_input_128: - SecretInteger: '3' - my_input_445: - SecretInteger: '3' - my_input_59: - SecretInteger: '3' - my_input_404: - SecretInteger: '3' - my_input_158: - SecretInteger: '3' - my_model_coef_0_470: - SecretInteger: '3' - my_model_coef_0_137: - SecretInteger: '3' - my_model_coef_0_33: - SecretInteger: '3' - my_input_183: - SecretInteger: '3' - my_model_coef_0_395: - SecretInteger: '3' - my_input_323: - SecretInteger: '3' - my_input_327: - SecretInteger: '3' - my_input_113: - SecretInteger: '3' - my_model_coef_0_498: - SecretInteger: '3' - my_input_385: - SecretInteger: '3' - my_input_362: - SecretInteger: '3' - my_input_92: - SecretInteger: '3' - my_model_coef_0_333: - SecretInteger: '3' - my_input_49: - SecretInteger: '3' - my_model_coef_0_241: - SecretInteger: '3' - my_model_coef_0_361: - SecretInteger: '3' - my_model_coef_0_381: - SecretInteger: '3' - my_model_coef_0_409: - SecretInteger: '3' - my_input_72: - SecretInteger: '3' - my_input_123: - SecretInteger: '3' - my_model_coef_0_64: - SecretInteger: '3' - my_input_170: - SecretInteger: '3' - my_input_328: - SecretInteger: '3' - my_input_250: - SecretInteger: '3' - my_input_341: - SecretInteger: '3' - my_input_303: - SecretInteger: '3' - my_input_426: - SecretInteger: '3' - my_model_coef_0_131: - SecretInteger: '3' - my_input_420: - SecretInteger: '3' - my_model_coef_0_153: - SecretInteger: '3' - my_model_coef_0_403: - SecretInteger: '3' - my_input_67: - SecretInteger: '3' - my_input_321: - SecretInteger: '3' - my_model_coef_0_112: - SecretInteger: '3' - my_input_486: - SecretInteger: '3' - my_model_coef_0_6: - SecretInteger: '3' - my_model_coef_0_357: - SecretInteger: '3' - my_input_399: - SecretInteger: '3' - my_input_432: - SecretInteger: '3' - my_input_8: - SecretInteger: '3' - my_model_coef_0_485: - SecretInteger: '3' - my_input_407: - SecretInteger: '3' - my_input_22: - SecretInteger: '3' - my_model_coef_0_306: - SecretInteger: '3' - my_model_coef_0_163: - SecretInteger: '3' - my_input_196: - SecretInteger: '3' - my_input_364: - SecretInteger: '3' - my_model_coef_0_341: - SecretInteger: '3' - my_input_350: - SecretInteger: '3' - my_input_377: - SecretInteger: '3' - my_input_454: - SecretInteger: '3' - my_input_458: - SecretInteger: '3' - my_model_coef_0_167: - SecretInteger: '3' - my_model_coef_0_430: - SecretInteger: '3' - my_model_coef_0_129: - SecretInteger: '3' - my_input_400: - SecretInteger: '3' - my_model_coef_0_41: - SecretInteger: '3' - my_input_265: - SecretInteger: '3' - my_model_coef_0_134: - SecretInteger: '3' - my_model_coef_0_82: - SecretInteger: '3' - my_model_coef_0_56: - SecretInteger: '3' - my_input_38: - SecretInteger: '3' - my_input_103: - SecretInteger: '3' - my_model_coef_0_0: - SecretInteger: '3' - my_model_coef_0_260: - SecretInteger: '3' - my_model_coef_0_362: - SecretInteger: '3' - my_input_443: - SecretInteger: '3' - my_input_306: - SecretInteger: '3' - my_model_coef_0_441: - SecretInteger: '3' - my_model_coef_0_209: - SecretInteger: '3' - my_model_coef_0_141: - SecretInteger: '3' - my_model_coef_0_217: - SecretInteger: '3' - my_model_coef_0_4: - SecretInteger: '3' - my_model_coef_0_161: - SecretInteger: '3' - my_model_coef_0_481: - SecretInteger: '3' - my_input_119: - SecretInteger: '3' - my_model_coef_0_204: - SecretInteger: '3' - my_model_intercept_0: - SecretInteger: '3' - my_input_177: - SecretInteger: '3' - my_input_86: - SecretInteger: '3' - my_model_coef_0_424: - SecretInteger: '3' - my_model_coef_0_355: - SecretInteger: '3' - my_model_coef_0_55: - SecretInteger: '3' - my_input_231: - SecretInteger: '3' - my_input_74: - SecretInteger: '3' - my_model_coef_0_432: - SecretInteger: '3' - my_input_455: - SecretInteger: '3' - my_model_coef_0_17: - SecretInteger: '3' - my_model_coef_0_119: - SecretInteger: '3' - my_input_156: - SecretInteger: '3' - my_input_190: - SecretInteger: '3' - my_input_381: - SecretInteger: '3' - my_input_421: - SecretInteger: '3' - my_model_coef_0_447: - SecretInteger: '3' - my_input_180: - SecretInteger: '3' - my_input_489: - SecretInteger: '3' - my_model_coef_0_363: - SecretInteger: '3' - my_model_coef_0_440: - SecretInteger: '3' - my_input_264: - SecretInteger: '3' - my_model_coef_0_101: - SecretInteger: '3' - my_model_coef_0_69: - SecretInteger: '3' - my_model_coef_0_246: - SecretInteger: '3' - my_model_coef_0_135: - SecretInteger: '3' - my_input_499: - SecretInteger: '3' - my_model_coef_0_346: - SecretInteger: '3' - my_input_412: - SecretInteger: '3' - my_input_441: - SecretInteger: '3' - my_model_coef_0_272: - SecretInteger: '3' - my_input_32: - SecretInteger: '3' - my_model_coef_0_251: - SecretInteger: '3' - my_input_16: - SecretInteger: '3' - my_model_coef_0_254: - SecretInteger: '3' - my_input_7: - SecretInteger: '3' - my_input_384: - SecretInteger: '3' - my_model_coef_0_392: - SecretInteger: '3' - my_model_coef_0_62: - SecretInteger: '3' - my_input_90: - SecretInteger: '3' - my_input_194: - SecretInteger: '3' - my_model_coef_0_468: - SecretInteger: '3' - my_input_366: - SecretInteger: '3' - my_input_405: - SecretInteger: '3' - my_model_coef_0_13: - SecretInteger: '3' - my_model_coef_0_159: - SecretInteger: '3' - my_input_424: - SecretInteger: '3' - my_input_254: - SecretInteger: '3' - my_model_coef_0_428: - SecretInteger: '3' - my_model_coef_0_21: - SecretInteger: '3' - my_input_226: - SecretInteger: '3' - my_model_coef_0_258: - SecretInteger: '3' - my_input_310: - SecretInteger: '3' - my_model_coef_0_426: - SecretInteger: '3' - my_model_coef_0_477: - SecretInteger: '3' - my_model_coef_0_24: - SecretInteger: '3' - my_model_coef_0_85: - SecretInteger: '3' - my_model_coef_0_37: - SecretInteger: '3' - my_model_coef_0_145: - SecretInteger: '3' - my_input_160: - SecretInteger: '3' - my_input_256: - SecretInteger: '3' - my_model_coef_0_91: - SecretInteger: '3' - my_model_coef_0_399: - SecretInteger: '3' - my_model_coef_0_309: - SecretInteger: '3' - my_model_coef_0_9: - SecretInteger: '3' - my_model_coef_0_367: - SecretInteger: '3' - my_model_coef_0_326: - SecretInteger: '3' - my_model_coef_0_329: - SecretInteger: '3' - my_input_296: - SecretInteger: '3' - my_input_484: - SecretInteger: '3' - my_input_200: - SecretInteger: '3' - my_model_coef_0_83: - SecretInteger: '3' - my_input_462: - SecretInteger: '3' - my_input_277: - SecretInteger: '3' - my_model_coef_0_238: - SecretInteger: '3' - my_model_coef_0_444: - SecretInteger: '3' - my_model_coef_0_358: - SecretInteger: '3' - my_model_coef_0_158: - SecretInteger: '3' - my_input_390: - SecretInteger: '3' - my_model_coef_0_307: - SecretInteger: '3' - my_model_coef_0_493: - SecretInteger: '3' - my_model_coef_0_323: - SecretInteger: '3' - my_input_374: - SecretInteger: '3' - my_input_469: - SecretInteger: '3' - my_model_coef_0_488: - SecretInteger: '3' - my_model_coef_0_213: - SecretInteger: '3' - my_input_56: - SecretInteger: '3' - my_model_coef_0_79: - SecretInteger: '3' - my_input_159: - SecretInteger: '3' - my_model_coef_0_429: - SecretInteger: '3' - my_input_293: - SecretInteger: '3' - my_input_167: - SecretInteger: '3' - my_input_375: - SecretInteger: '3' - my_model_coef_0_136: - SecretInteger: '3' - my_input_43: - SecretInteger: '3' - my_model_coef_0_157: - SecretInteger: '3' - my_input_24: - SecretInteger: '3' - my_input_5: - SecretInteger: '3' - my_input_450: - SecretInteger: '3' - my_input_42: - SecretInteger: '3' - my_model_coef_0_76: - SecretInteger: '3' - my_model_coef_0_464: - SecretInteger: '3' - my_input_19: - SecretInteger: '3' - my_model_coef_0_198: - SecretInteger: '3' - my_input_249: - SecretInteger: '3' - my_input_493: - SecretInteger: '3' - my_model_coef_0_288: - SecretInteger: '3' - my_input_302: - SecretInteger: '3' - my_model_coef_0_150: - SecretInteger: '3' - my_input_204: - SecretInteger: '3' - my_input_60: - SecretInteger: '3' - my_input_220: - SecretInteger: '3' - my_model_coef_0_280: - SecretInteger: '3' - my_model_coef_0_494: - SecretInteger: '3' - my_model_coef_0_16: - SecretInteger: '3' - my_input_322: - SecretInteger: '3' - my_model_coef_0_268: - SecretInteger: '3' - my_model_coef_0_489: - SecretInteger: '3' - my_model_coef_0_442: - SecretInteger: '3' - my_model_coef_0_374: - SecretInteger: '3' - my_model_coef_0_478: - SecretInteger: '3' - my_input_298: - SecretInteger: '3' - my_input_483: - SecretInteger: '3' - my_input_267: - SecretInteger: '3' - my_model_coef_0_73: - SecretInteger: '3' - my_input_368: - SecretInteger: '3' - my_input_207: - SecretInteger: '3' - my_model_coef_0_220: - SecretInteger: '3' - my_input_318: - SecretInteger: '3' - my_model_coef_0_492: - SecretInteger: '3' - my_input_161: - SecretInteger: '3' - my_model_coef_0_180: - SecretInteger: '3' - my_model_coef_0_371: - SecretInteger: '3' - my_model_coef_0_87: - SecretInteger: '3' - my_model_coef_0_90: - SecretInteger: '3' - my_model_coef_0_148: - SecretInteger: '3' - my_model_coef_0_342: - SecretInteger: '3' - my_model_coef_0_43: - SecretInteger: '3' - my_input_73: - SecretInteger: '3' - my_input_339: - SecretInteger: '3' - my_model_coef_0_179: - SecretInteger: '3' - my_input_338: - SecretInteger: '3' - my_input_434: - SecretInteger: '3' - my_input_475: - SecretInteger: '3' - my_model_coef_0_107: - SecretInteger: '3' - my_model_coef_0_211: - SecretInteger: '3' - my_model_coef_0_473: - SecretInteger: '3' - my_input_274: - SecretInteger: '3' - my_input_447: - SecretInteger: '3' - my_input_175: - SecretInteger: '3' - my_input_55: - SecretInteger: '3' - my_model_coef_0_171: - SecretInteger: '3' - my_input_392: - SecretInteger: '3' - my_model_coef_0_216: - SecretInteger: '3' - my_input_145: - SecretInteger: '3' - my_input_227: - SecretInteger: '3' - my_model_coef_0_226: - SecretInteger: '3' - my_model_coef_0_31: - SecretInteger: '3' - my_input_98: - SecretInteger: '3' - my_input_106: - SecretInteger: '3' - my_input_216: - SecretInteger: '3' - my_model_coef_0_126: - SecretInteger: '3' - my_input_134: - SecretInteger: '3' - my_model_coef_0_102: - SecretInteger: '3' - my_input_324: - SecretInteger: '3' - my_input_162: - SecretInteger: '3' - my_input_121: - SecretInteger: '3' - my_input_71: - SecretInteger: '3' - my_input_491: - SecretInteger: '3' - my_model_coef_0_58: - SecretInteger: '3' - my_input_269: - SecretInteger: '3' - my_input_383: - SecretInteger: '3' - my_model_coef_0_303: - SecretInteger: '3' - my_model_coef_0_120: - SecretInteger: '3' - my_input_150: - SecretInteger: '3' - my_model_coef_0_32: - SecretInteger: '3' - my_model_coef_0_100: - SecretInteger: '3' - my_input_52: - SecretInteger: '3' - my_model_coef_0_397: - SecretInteger: '3' - my_model_coef_0_181: - SecretInteger: '3' - my_input_287: - SecretInteger: '3' - my_model_coef_0_263: - SecretInteger: '3' - my_model_coef_0_360: - SecretInteger: '3' - my_input_110: - SecretInteger: '3' - my_input_288: - SecretInteger: '3' - my_input_305: - SecretInteger: '3' - my_input_453: - SecretInteger: '3' - my_input_232: - SecretInteger: '3' - my_input_474: - SecretInteger: '3' - my_model_coef_0_348: - SecretInteger: '3' - my_model_coef_0_452: - SecretInteger: '3' - my_model_coef_0_352: - SecretInteger: '3' - my_input_4: - SecretInteger: '3' - my_input_31: - SecretInteger: '3' - my_model_coef_0_281: - SecretInteger: '3' - my_input_365: - SecretInteger: '3' - my_model_coef_0_103: - SecretInteger: '3' - my_model_coef_0_175: - SecretInteger: '3' - my_model_coef_0_138: - SecretInteger: '3' - my_model_coef_0_40: - SecretInteger: '3' - my_model_coef_0_230: - SecretInteger: '3' - my_model_coef_0_193: - SecretInteger: '3' - my_model_coef_0_200: - SecretInteger: '3' - my_input_89: - SecretInteger: '3' - my_model_coef_0_427: - SecretInteger: '3' - my_input_480: - SecretInteger: '3' - my_input_253: - SecretInteger: '3' - my_model_coef_0_11: - SecretInteger: '3' - my_model_coef_0_12: - SecretInteger: '3' - my_model_coef_0_113: - SecretInteger: '3' - my_model_coef_0_438: - SecretInteger: '3' - my_model_coef_0_247: - SecretInteger: '3' - my_input_284: - SecretInteger: '3' - my_input_137: - SecretInteger: '3' - my_model_coef_0_283: - SecretInteger: '3' - my_model_coef_0_420: - SecretInteger: '3' - my_input_176: - SecretInteger: '3' - my_model_coef_0_223: - SecretInteger: '3' - my_model_coef_0_435: - SecretInteger: '3' - my_input_244: - SecretInteger: '3' - my_input_477: - SecretInteger: '3' - my_input_471: - SecretInteger: '3' - my_input_114: - SecretInteger: '3' - my_input_233: - SecretInteger: '3' - my_model_coef_0_151: - SecretInteger: '3' - my_model_coef_0_253: - SecretInteger: '3' - my_model_coef_0_264: - SecretInteger: '3' - my_model_coef_0_142: - SecretInteger: '3' - my_model_coef_0_391: - SecretInteger: '3' - my_model_coef_0_337: - SecretInteger: '3' - my_input_369: - SecretInteger: '3' - my_model_coef_0_284: - SecretInteger: '3' - my_model_coef_0_314: - SecretInteger: '3' - my_model_coef_0_28: - SecretInteger: '3' - my_model_coef_0_334: - SecretInteger: '3' - my_input_225: - SecretInteger: '3' - my_input_358: - SecretInteger: '3' - my_input_460: - SecretInteger: '3' - my_model_coef_0_45: - SecretInteger: '3' - my_model_coef_0_389: - SecretInteger: '3' - my_input_406: - SecretInteger: '3' - my_input_487: - SecretInteger: '3' - my_model_coef_0_114: - SecretInteger: '3' - my_model_coef_0_463: - SecretInteger: '3' - my_model_coef_0_110: - SecretInteger: '3' - my_input_299: - SecretInteger: '3' - my_input_488: - SecretInteger: '3' - my_input_352: - SecretInteger: '3' - my_model_coef_0_313: - SecretInteger: '3' - my_model_coef_0_376: - SecretInteger: '3' - my_model_coef_0_164: - SecretInteger: '3' - my_model_coef_0_414: - SecretInteger: '3' - my_model_coef_0_22: - SecretInteger: '3' - my_input_348: - SecretInteger: '3' - my_input_315: - SecretInteger: '3' - my_input_189: - SecretInteger: '3' - my_input_347: - SecretInteger: '3' - my_input_241: - SecretInteger: '3' - my_input_41: - SecretInteger: '3' - my_model_coef_0_235: - SecretInteger: '3' - my_model_coef_0_244: - SecretInteger: '3' - my_model_coef_0_378: - SecretInteger: '3' - my_model_coef_0_401: - SecretInteger: '3' - my_input_140: - SecretInteger: '3' - my_input_463: - SecretInteger: '3' - my_model_coef_0_340: - SecretInteger: '3' - my_model_coef_0_205: - SecretInteger: '3' - my_model_coef_0_127: - SecretInteger: '3' - my_model_coef_0_191: - SecretInteger: '3' - my_input_96: - SecretInteger: '3' - my_input_146: - SecretInteger: '3' - my_input_391: - SecretInteger: '3' - my_model_coef_0_15: - SecretInteger: '3' - my_model_coef_0_201: - SecretInteger: '3' - my_input_355: - 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my_input_334: 3 + my_model_coef_0_437: 3 + my_input_14: 3 + my_model_coef_0_206: 3 + my_model_coef_0_412: 3 + my_input_44: 3 + my_input_30: 3 + my_model_coef_0_71: 3 + my_model_coef_0_124: 3 + my_model_coef_0_286: 3 + my_input_2: 3 + my_model_coef_0_140: 3 + my_input_197: 3 + my_model_coef_0_66: 3 + my_model_coef_0_144: 3 + my_input_131: 3 expected_outputs: - logit_0: - SecretInteger: '3' + logit_0: 3 diff --git a/examples/time_series/tests/time_series.yaml b/examples/time_series/tests/time_series.yaml index bad8616..8c23c05 100644 --- a/examples/time_series/tests/time_series.yaml +++ b/examples/time_series/tests/time_series.yaml @@ -1,189 +1,96 @@ program: time_series inputs: - my_prophet_changepoints_t_8: - SecretInteger: '3' - my_prophet_changepoints_t_11: - SecretInteger: '3' - floor_17: - SecretInteger: '3' - floor_4: - SecretInteger: '3' - my_prophet_beta_0_3: - SecretInteger: '3' - t_7: - SecretInteger: '3' - t_3: - SecretInteger: '3' - my_prophet_beta_0_0: - SecretInteger: '3' - t_1: - SecretInteger: '3' - floor_5: - SecretInteger: '3' - my_prophet_changepoints_t_6: - SecretInteger: '3' - floor_16: - SecretInteger: '3' - my_prophet_y_scale_0: - SecretInteger: '3' - floor_2: - SecretInteger: '3' - floor_19: - SecretInteger: '3' - my_prophet_beta_0_5: - SecretInteger: '3' - my_prophet_changepoints_t_7: - SecretInteger: '3' - my_prophet_delta_0_5: - SecretInteger: '3' - t_8: - SecretInteger: '3' - floor_18: - SecretInteger: '3' - my_prophet_beta_0_2: - SecretInteger: '3' - floor_10: - SecretInteger: '3' - t_12: - SecretInteger: '3' - my_prophet_delta_0_4: - SecretInteger: '3' - t_14: - SecretInteger: '3' - t_16: - SecretInteger: '3' - t_2: - SecretInteger: '3' - t_5: - SecretInteger: '3' - floor_11: - SecretInteger: '3' - my_prophet_delta_0_2: - SecretInteger: '3' - my_prophet_delta_0_7: - SecretInteger: '3' - my_prophet_k_0_0: - SecretInteger: '3' - my_prophet_changepoints_t_1: - SecretInteger: '3' - t_13: - SecretInteger: '3' - t_18: - SecretInteger: '3' - my_prophet_delta_0_0: - SecretInteger: '3' - my_prophet_changepoints_t_9: - SecretInteger: '3' - floor_13: - SecretInteger: '3' - t_15: - SecretInteger: '3' - t_17: - SecretInteger: '3' - my_prophet_delta_0_6: - SecretInteger: '3' - t_10: - SecretInteger: '3' - my_prophet_changepoints_t_10: - SecretInteger: '3' - my_prophet_beta_0_4: - SecretInteger: '3' - floor_3: - SecretInteger: '3' - my_prophet_changepoints_t_2: - SecretInteger: '3' - t_9: - SecretInteger: '3' - floor_9: - SecretInteger: '3' - t_11: - SecretInteger: '3' - my_prophet_delta_0_3: - SecretInteger: '3' - my_prophet_delta_0_10: - SecretInteger: '3' - my_prophet_changepoints_t_3: - SecretInteger: '3' - floor_1: - SecretInteger: '3' - my_prophet_delta_0_8: - SecretInteger: '3' - t_19: - SecretInteger: '3' - floor_7: - SecretInteger: '3' - floor_0: - SecretInteger: '3' - floor_14: - SecretInteger: '3' - floor_8: - SecretInteger: '3' - my_prophet_changepoints_t_4: - SecretInteger: '3' - floor_12: - SecretInteger: '3' - my_prophet_changepoints_t_0: - SecretInteger: '3' - my_prophet_delta_0_9: - SecretInteger: '3' - my_prophet_m_0_0: - SecretInteger: '3' - my_prophet_changepoints_t_5: - SecretInteger: '3' - t_6: - SecretInteger: '3' - my_prophet_beta_0_1: - SecretInteger: '3' - t_0: - SecretInteger: '3' - floor_15: - SecretInteger: '3' - t_4: - SecretInteger: '3' - my_prophet_delta_0_11: - SecretInteger: '3' - my_prophet_delta_0_1: - SecretInteger: '3' - floor_6: - SecretInteger: '3' + my_prophet_changepoints_t_8: 3 + my_prophet_changepoints_t_11: 3 + floor_17: 3 + floor_4: 3 + my_prophet_beta_0_3: 3 + t_7: 3 + t_3: 3 + my_prophet_beta_0_0: 3 + t_1: 3 + floor_5: 3 + my_prophet_changepoints_t_6: 3 + floor_16: 3 + my_prophet_y_scale_0: 3 + floor_2: 3 + floor_19: 3 + my_prophet_beta_0_5: 3 + my_prophet_changepoints_t_7: 3 + my_prophet_delta_0_5: 3 + t_8: 3 + floor_18: 3 + my_prophet_beta_0_2: 3 + floor_10: 3 + t_12: 3 + my_prophet_delta_0_4: 3 + t_14: 3 + t_16: 3 + t_2: 3 + t_5: 3 + floor_11: 3 + my_prophet_delta_0_2: 3 + my_prophet_delta_0_7: 3 + my_prophet_k_0_0: 3 + my_prophet_changepoints_t_1: 3 + t_13: 3 + t_18: 3 + my_prophet_delta_0_0: 3 + my_prophet_changepoints_t_9: 3 + floor_13: 3 + t_15: 3 + t_17: 3 + my_prophet_delta_0_6: 3 + t_10: 3 + my_prophet_changepoints_t_10: 3 + my_prophet_beta_0_4: 3 + floor_3: 3 + my_prophet_changepoints_t_2: 3 + t_9: 3 + floor_9: 3 + t_11: 3 + my_prophet_delta_0_3: 3 + my_prophet_delta_0_10: 3 + my_prophet_changepoints_t_3: 3 + floor_1: 3 + my_prophet_delta_0_8: 3 + t_19: 3 + floor_7: 3 + floor_0: 3 + floor_14: 3 + floor_8: 3 + my_prophet_changepoints_t_4: 3 + floor_12: 3 + my_prophet_changepoints_t_0: 3 + my_prophet_delta_0_9: 3 + my_prophet_m_0_0: 3 + my_prophet_changepoints_t_5: 3 + t_6: 3 + my_prophet_beta_0_1: 3 + t_0: 3 + floor_15: 3 + t_4: 3 + my_prophet_delta_0_11: 3 + my_prophet_delta_0_1: 3 + floor_6: 3 expected_outputs: - my_output_1: - SecretInteger: '2' - my_output_16: - SecretInteger: '2' - my_output_17: - SecretInteger: '1' - my_output_14: - SecretInteger: '1' - my_output_19: - SecretInteger: '1' - my_output_3: - SecretInteger: '1' - my_output_2: - SecretInteger: '2' - my_output_0: - SecretInteger: '1' - my_output_11: - SecretInteger: '2' - my_output_10: - SecretInteger: '1' - my_output_5: - SecretInteger: '1' - my_output_6: - SecretInteger: '1' - my_output_7: - SecretInteger: '1' - my_output_12: - SecretInteger: '1' - my_output_9: - SecretInteger: '2' - my_output_4: - SecretInteger: '2' - my_output_8: - SecretInteger: '2' - my_output_15: - SecretInteger: '2' - my_output_18: - SecretInteger: '2' - my_output_13: - SecretInteger: '1' + my_output_1: 2 + my_output_16: 2 + my_output_17: 1 + my_output_14: 1 + my_output_19: 1 + my_output_3: 1 + my_output_2: 2 + my_output_0: 1 + my_output_11: 2 + my_output_10: 1 + my_output_5: 1 + my_output_6: 1 + my_output_7: 1 + my_output_12: 1 + my_output_9: 2 + my_output_4: 2 + my_output_8: 2 + my_output_15: 2 + my_output_18: 2 + my_output_13: 1 From f66520e0e5641ebd77ce982372eb36744df60798 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Cabrero-Holgueras?= Date: Thu, 29 Aug 2024 12:06:27 +0000 Subject: [PATCH 4/7] chore: updated tests to Nada DSL version 0.6.0 --- tests/nada-tests/src/flatten.py | 2 + tests/nada-tests/src/load_state.py | 4 +- tests/nada-tests/tests/activations.yaml | 48 +-- tests/nada-tests/tests/conv.yaml | 289 +++++-------- tests/nada-tests/tests/distance.yaml | 93 ++-- tests/nada-tests/tests/end-to-end.yaml | 183 +++----- tests/nada-tests/tests/flatten.yaml | 48 +-- tests/nada-tests/tests/linear_layers.yaml | 45 +- tests/nada-tests/tests/linear_regression.yaml | 30 +- tests/nada-tests/tests/load_state.yaml | 96 ++--- .../nada-tests/tests/logistic_regression.yaml | 66 +-- tests/nada-tests/tests/nested_modules.yaml | 51 +-- tests/nada-tests/tests/parameters.yaml | 42 +- tests/nada-tests/tests/pool.yaml | 408 ++++++------------ tests/nada-tests/tests/prophet.yaml | 75 ++-- tests/test_all_nada.py | 17 +- 16 files changed, 505 insertions(+), 992 deletions(-) diff --git a/tests/nada-tests/src/flatten.py b/tests/nada-tests/src/flatten.py index 17c032c..7d7a30a 100644 --- a/tests/nada-tests/src/flatten.py +++ b/tests/nada-tests/src/flatten.py @@ -13,6 +13,8 @@ def nada_main(): x_flat = flatten(x) + x_flat += Integer(0) + assert x_flat.shape == (8,), x_flat.shape assert Flatten()(x).shape == (2, 4), Flatten(start_dim=0)(x).shape diff --git a/tests/nada-tests/src/load_state.py b/tests/nada-tests/src/load_state.py index 713eb8b..1056012 100644 --- a/tests/nada-tests/src/load_state.py +++ b/tests/nada-tests/src/load_state.py @@ -8,6 +8,7 @@ def nada_main(): party = Party("party") + class TestModule(Module): def __init__(self) -> None: self.param1 = Parameter(na.zeros((3, 2), na.Rational)) @@ -24,7 +25,8 @@ def forward(self, x: na.NadaArray) -> na.NadaArray: ... mod2.load_state_from_network("module2", party, nada_type=SecretInteger) mod2.load_state_from_network("module2", party, nada_type=na.Rational) - + mod1.param1 += na.rational(0) + m1_p1_out = mod1.param1.output(party, "module1_param1") m1_p2_out = mod1.param2.output(party, "module1_param2") diff --git a/tests/nada-tests/tests/activations.yaml b/tests/nada-tests/tests/activations.yaml index 4bfb365..cb4dba6 100644 --- a/tests/nada-tests/tests/activations.yaml +++ b/tests/nada-tests/tests/activations.yaml @@ -1,35 +1,19 @@ program: activations inputs: - input_x_0: - SecretInteger: '-2' - input_x_1: - SecretInteger: '0' - input_x_2: - SecretInteger: '4' - input_x_3: - SecretInteger: '-121' - input_y_0: - SecretInteger: '-131072' - input_y_1: - SecretInteger: '0' - input_y_2: - SecretInteger: '262144' - input_y_3: - SecretInteger: '-7929856' + input_x_0: -2 + input_x_1: 0 + input_x_2: 4 + input_x_3: -121 + input_y_0: -131072 + input_y_1: 0 + input_y_2: 262144 + input_y_3: -7929856 expected_outputs: - relu_x_0: - SecretInteger: '0' - relu_x_1: - SecretInteger: '0' - relu_x_2: - SecretInteger: '4' - relu_x_3: - SecretInteger: '0' - relu_y_0: - SecretInteger: '0' - relu_y_1: - SecretInteger: '0' - relu_y_2: - SecretInteger: '262144' - relu_y_3: - SecretInteger: '0' + relu_x_0: 0 + relu_x_1: 0 + relu_x_2: 4 + relu_x_3: 0 + relu_y_0: 0 + relu_y_1: 0 + relu_y_2: 262144 + relu_y_3: 0 diff --git a/tests/nada-tests/tests/conv.yaml b/tests/nada-tests/tests/conv.yaml index a09acec..bb7a18c 100644 --- a/tests/nada-tests/tests/conv.yaml +++ b/tests/nada-tests/tests/conv.yaml @@ -1,189 +1,106 @@ +--- program: conv inputs: - input_x_0_0_2_1: - SecretInteger: '3' - conv2_weight_1_2_0_1: - SecretInteger: '3' - input_x_0_0_2_0: - SecretInteger: '3' - conv1_weight_0_0_1_1: - SecretInteger: '3' - conv2_weight_1_0_1_0: - SecretInteger: '3' - conv2_weight_1_1_0_1: - SecretInteger: '3' - input_y_1_0_0: - SecretInteger: '3' - input_y_0_2_1: - SecretInteger: '3' - input_y_0_3_0: - SecretInteger: '3' - input_x_0_1_1_0: - SecretInteger: '3' - input_y_0_3_1: - SecretInteger: '3' - conv1_weight_0_1_0_0: - SecretInteger: '3' - conv1_weight_0_2_0_0: - SecretInteger: '3' - input_y_1_2_0: - SecretInteger: '3' - input_y_0_1_1: - SecretInteger: '3' - input_x_0_1_2_1: - SecretInteger: '3' - input_y_2_0_1: - SecretInteger: '3' - input_x_0_0_1_0: - SecretInteger: '3' - conv1_weight_0_1_1_0: - SecretInteger: '3' - input_x_0_2_1_1: - SecretInteger: '3' - conv2_weight_0_1_0_1: - SecretInteger: '3' - input_y_1_0_1: - SecretInteger: '3' - input_y_2_1_0: - SecretInteger: '3' - input_y_1_1_1: - SecretInteger: '3' - input_x_0_1_2_0: - SecretInteger: '3' - input_x_0_0_1_1: - SecretInteger: '3' - conv1_weight_0_0_1_0: - SecretInteger: '3' - input_x_0_0_3_0: - SecretInteger: '3' - input_x_0_1_3_1: - SecretInteger: '3' - input_y_2_1_1: - SecretInteger: '3' - conv2_bias_1: - SecretInteger: '3' - input_y_1_3_1: - SecretInteger: '3' - conv2_weight_0_0_0_0: - SecretInteger: '3' - input_x_0_2_3_0: - SecretInteger: '3' - input_x_0_1_3_0: - SecretInteger: '3' - conv2_weight_0_1_1_0: - SecretInteger: '3' - conv2_weight_1_1_1_1: - SecretInteger: '3' - input_y_1_2_1: - SecretInteger: '3' - input_x_0_0_0_1: - SecretInteger: '3' - input_x_0_2_3_1: - SecretInteger: '3' - input_y_2_3_1: - SecretInteger: '3' - input_x_0_0_3_1: - SecretInteger: '3' - input_y_0_2_0: - SecretInteger: '3' - conv2_weight_0_0_0_1: - SecretInteger: '3' - conv1_weight_0_0_0_1: - SecretInteger: '3' - conv2_weight_1_2_0_0: - SecretInteger: '3' - input_x_0_2_1_0: - SecretInteger: '3' - conv1_weight_0_2_1_0: - SecretInteger: '3' - conv2_weight_0_2_0_0: - SecretInteger: '3' - input_y_1_1_0: - SecretInteger: '3' - input_y_0_0_1: - SecretInteger: '3' - input_x_0_1_0_1: - SecretInteger: '3' - conv2_weight_1_0_0_0: - SecretInteger: '3' - conv1_weight_0_1_1_1: - SecretInteger: '3' - input_x_0_2_0_0: - SecretInteger: '3' - conv1_weight_0_2_1_1: - SecretInteger: '3' - conv2_weight_0_1_0_0: - SecretInteger: '3' - input_y_2_0_0: - SecretInteger: '3' - input_y_2_2_0: - SecretInteger: '3' - input_y_1_3_0: - SecretInteger: '3' - conv2_weight_0_0_1_0: - SecretInteger: '3' - conv1_weight_0_0_0_0: - SecretInteger: '3' - input_x_0_1_0_0: - SecretInteger: '3' - input_x_0_2_2_0: - SecretInteger: '3' - conv2_bias_0: - SecretInteger: '3' - conv2_weight_0_2_0_1: - SecretInteger: '3' - input_x_0_0_0_0: - SecretInteger: '3' - conv2_weight_1_2_1_1: - SecretInteger: '3' - input_y_2_3_0: - SecretInteger: '3' - conv2_weight_0_2_1_0: - SecretInteger: '3' - conv2_weight_1_2_1_0: - SecretInteger: '3' - input_y_2_2_1: - SecretInteger: '3' - conv1_weight_0_2_0_1: - SecretInteger: '3' - input_y_0_0_0: - SecretInteger: '3' - conv2_weight_0_0_1_1: - SecretInteger: '3' - input_y_0_1_0: - SecretInteger: '3' - input_x_0_1_1_1: - SecretInteger: '3' - input_x_0_2_0_1: - SecretInteger: '3' - conv1_weight_0_1_0_1: - SecretInteger: '3' - conv2_weight_0_2_1_1: - SecretInteger: '3' - conv1_bias_0: - SecretInteger: '3' - input_x_0_2_2_1: - SecretInteger: '3' - conv2_weight_1_0_1_1: - SecretInteger: '3' - conv2_weight_0_1_1_1: - SecretInteger: '3' - conv2_weight_1_1_1_0: - SecretInteger: '3' - conv2_weight_1_1_0_0: - SecretInteger: '3' - conv2_weight_1_0_0_1: - SecretInteger: '3' + conv1_bias_0: 3 + conv1_weight_0_0_0_0: 3 + conv1_weight_0_0_0_1: 3 + conv1_weight_0_0_1_0: 3 + conv1_weight_0_0_1_1: 3 + conv1_weight_0_1_0_0: 3 + conv1_weight_0_1_0_1: 3 + conv1_weight_0_1_1_0: 3 + conv1_weight_0_1_1_1: 3 + conv1_weight_0_2_0_0: 3 + conv1_weight_0_2_0_1: 3 + conv1_weight_0_2_1_0: 3 + conv1_weight_0_2_1_1: 3 + conv2_bias_0: 3 + conv2_bias_1: 3 + conv2_weight_0_0_0_0: 3 + conv2_weight_0_0_0_1: 3 + conv2_weight_0_0_1_0: 3 + conv2_weight_0_0_1_1: 3 + conv2_weight_0_1_0_0: 3 + conv2_weight_0_1_0_1: 3 + conv2_weight_0_1_1_0: 3 + conv2_weight_0_1_1_1: 3 + conv2_weight_0_2_0_0: 3 + conv2_weight_0_2_0_1: 3 + conv2_weight_0_2_1_0: 3 + conv2_weight_0_2_1_1: 3 + conv2_weight_1_0_0_0: 3 + conv2_weight_1_0_0_1: 3 + conv2_weight_1_0_1_0: 3 + conv2_weight_1_0_1_1: 3 + conv2_weight_1_1_0_0: 3 + conv2_weight_1_1_0_1: 3 + conv2_weight_1_1_1_0: 3 + conv2_weight_1_1_1_1: 3 + conv2_weight_1_2_0_0: 3 + conv2_weight_1_2_0_1: 3 + conv2_weight_1_2_1_0: 3 + conv2_weight_1_2_1_1: 3 + input_x_0_0_0_0: 3 + input_x_0_0_0_1: 3 + input_x_0_0_1_0: 3 + input_x_0_0_1_1: 3 + input_x_0_0_2_0: 3 + input_x_0_0_2_1: 3 + input_x_0_0_3_0: 3 + input_x_0_0_3_1: 3 + input_x_0_1_0_0: 3 + input_x_0_1_0_1: 3 + input_x_0_1_1_0: 3 + input_x_0_1_1_1: 3 + input_x_0_1_2_0: 3 + input_x_0_1_2_1: 3 + input_x_0_1_3_0: 3 + input_x_0_1_3_1: 3 + input_x_0_2_0_0: 3 + input_x_0_2_0_1: 3 + input_x_0_2_1_0: 3 + input_x_0_2_1_1: 3 + input_x_0_2_2_0: 3 + input_x_0_2_2_1: 3 + input_x_0_2_3_0: 3 + input_x_0_2_3_1: 3 + input_y_0_0_0: 3 + input_y_0_0_1: 3 + input_y_0_1_0: 3 + input_y_0_1_1: 3 + input_y_0_2_0: 3 + input_y_0_2_1: 3 + input_y_0_3_0: 3 + input_y_0_3_1: 3 + input_y_1_0_0: 3 + input_y_1_0_1: 3 + input_y_1_1_0: 3 + input_y_1_1_1: 3 + input_y_1_2_0: 3 + input_y_1_2_1: 3 + input_y_1_3_0: 3 + input_y_1_3_1: 3 + input_y_2_0_0: 3 + input_y_2_0_1: 3 + input_y_2_1_0: 3 + input_y_2_1_1: 3 + input_y_2_2_0: 3 + input_y_2_2_1: 3 + input_y_2_3_0: 3 + input_y_2_3_1: 3 expected_outputs: - x_conv_0_0_2_0: - SecretInteger: '3' - y_conv_0_1_0: - SecretInteger: '57' - y_conv_0_2_0: - SecretInteger: '30' - x_conv_0_0_0_0: - SecretInteger: '3' - x_conv_0_0_1_0: - SecretInteger: '3' - y_conv_0_0_0: - SecretInteger: '30' + x_conv_0_0_0_0: 3 + x_conv_0_0_1_0: 3 + x_conv_0_0_2_0: 3 + y_conv_0_0_0: 30 + y_conv_0_0_1: 30 + y_conv_0_1_0: 57 + y_conv_0_1_1: 57 + y_conv_0_2_0: 30 + y_conv_0_2_1: 30 + y_conv_1_0_0: 30 + y_conv_1_0_1: 30 + y_conv_1_1_0: 57 + y_conv_1_1_1: 57 + y_conv_1_2_0: 30 + y_conv_1_2_1: 30 diff --git a/tests/nada-tests/tests/distance.yaml b/tests/nada-tests/tests/distance.yaml index fd65787..95880d5 100644 --- a/tests/nada-tests/tests/distance.yaml +++ b/tests/nada-tests/tests/distance.yaml @@ -1,65 +1,34 @@ program: distance inputs: - input_x_0_0: - SecretInteger: '1' - input_x_0_1: - SecretInteger: '2' - input_x_0_2: - SecretInteger: '3' - input_x_1_0: - SecretInteger: '4' - input_x_1_1: - SecretInteger: '5' - input_x_1_2: - SecretInteger: '6' - input_y_0_0: - SecretInteger: '1' - input_y_0_1: - SecretInteger: '2' - input_y_0_2: - SecretInteger: '3' - input_y_1_0: - SecretInteger: '4' - input_y_1_1: - SecretInteger: '5' - input_y_1_2: - SecretInteger: '6' - input_y_2_0: - SecretInteger: '7' - input_y_2_1: - SecretInteger: '8' - input_y_2_2: - SecretInteger: '9' - input_y_3_0: - SecretInteger: '10' - input_y_3_1: - SecretInteger: '11' - input_y_3_2: - SecretInteger: '12' - input_y_4_0: - SecretInteger: '13' - input_y_4_1: - SecretInteger: '14' - input_y_4_2: - SecretInteger: '15' + input_x_0_0: 1 + input_x_0_1: 2 + input_x_0_2: 3 + input_x_1_0: 4 + input_x_1_1: 5 + input_x_1_2: 6 + input_y_0_0: 1 + input_y_0_1: 2 + input_y_0_2: 3 + input_y_1_0: 4 + input_y_1_1: 5 + input_y_1_2: 6 + input_y_2_0: 7 + input_y_2_1: 8 + input_y_2_2: 9 + input_y_3_0: 10 + input_y_3_1: 11 + input_y_3_2: 12 + input_y_4_0: 13 + input_y_4_1: 14 + input_y_4_2: 15 expected_outputs: - my_output_0_0: - SecretInteger: '14' - my_output_0_1: - SecretInteger: '32' - my_output_0_2: - SecretInteger: '50' - my_output_0_3: - SecretInteger: '68' - my_output_0_4: - SecretInteger: '86' - my_output_1_0: - SecretInteger: '32' - my_output_1_1: - SecretInteger: '77' - my_output_1_2: - SecretInteger: '122' - my_output_1_3: - SecretInteger: '167' - my_output_1_4: - SecretInteger: '212' + my_output_0_0: 14 + my_output_0_1: 32 + my_output_0_2: 50 + my_output_0_3: 68 + my_output_0_4: 86 + my_output_1_0: 32 + my_output_1_1: 77 + my_output_1_2: 122 + my_output_1_3: 167 + my_output_1_4: 212 diff --git a/tests/nada-tests/tests/end-to-end.yaml b/tests/nada-tests/tests/end-to-end.yaml index 2c65758..a788df5 100644 --- a/tests/nada-tests/tests/end-to-end.yaml +++ b/tests/nada-tests/tests/end-to-end.yaml @@ -1,125 +1,64 @@ program: end-to-end inputs: - input_x_0_0_2_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_2_0_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_2_0_0: - SecretInteger: '3' - testmod_linear.weight_1_0: - SecretInteger: '3' - input_x_0_0_1_0: - SecretInteger: '3' - testmod_linear.weight_0_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_0_0_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_1_0_1: - SecretInteger: '3' - input_x_0_1_1_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_1_1_0: - SecretInteger: '3' - input_x_0_2_0_0: - SecretInteger: '3' - input_x_0_0_0_2: - SecretInteger: '3' - input_x_0_0_2_2: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_0_1_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_0_1_1: - SecretInteger: '3' - testmod_conv_module.conv.bias_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_2_1_0: - SecretInteger: '3' - input_x_0_1_0_2: - SecretInteger: '3' - testmod_linear.weight_0_0: - SecretInteger: '3' - input_x_0_2_2_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_0_1_1: - SecretInteger: '3' - input_x_0_2_2_2: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_2_1_0: - SecretInteger: '3' - testmod_conv_module.conv.bias_1: - SecretInteger: '3' - input_x_0_1_1_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_0_0_1: - SecretInteger: '3' - input_x_0_0_1_2: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_0_0_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_1_0_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_2_0_0: - SecretInteger: '3' - input_x_0_2_2_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_1_0_1: - SecretInteger: '3' - input_x_0_1_0_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_0_0_1: - SecretInteger: '3' - input_x_0_0_0_0: - SecretInteger: '3' - testmod_linear.weight_1_1: - SecretInteger: '3' - input_x_0_1_1_2: - SecretInteger: '3' - input_x_0_0_0_1: - SecretInteger: '3' - testmod_linear.bias_0: - SecretInteger: '3' - input_x_0_2_0_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_1_1_0: - SecretInteger: '3' - input_x_0_2_0_2: - SecretInteger: '3' - input_x_0_1_2_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_1_0_0: - SecretInteger: '3' - input_x_0_0_1_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_2_0_1: - SecretInteger: '3' - input_x_0_2_1_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_2_1_1: - SecretInteger: '3' - input_x_0_2_1_2: - SecretInteger: '3' - input_x_0_1_2_2: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_1_1_1: - SecretInteger: '3' - testmod_linear.bias_1: - SecretInteger: '3' - input_x_0_1_0_1: - SecretInteger: '3' - input_x_0_2_1_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_1_2_1_1: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_0_1_0: - SecretInteger: '3' - testmod_conv_module.conv.weight_0_1_1_1: - SecretInteger: '3' - input_x_0_0_2_1: - SecretInteger: '3' - input_x_0_1_2_1: - SecretInteger: '3' + input_x_0_0_2_0: 3 + testmod_conv_module.conv.weight_1_2_0_1: 3 + testmod_conv_module.conv.weight_0_2_0_0: 3 + testmod_linear.weight_1_0: 3 + input_x_0_0_1_0: 3 + testmod_linear.weight_0_1: 3 + testmod_conv_module.conv.weight_0_0_0_0: 3 + testmod_conv_module.conv.weight_1_1_0_1: 3 + input_x_0_1_1_1: 3 + testmod_conv_module.conv.weight_0_1_1_0: 3 + input_x_0_2_0_0: 3 + input_x_0_0_0_2: 3 + input_x_0_0_2_2: 3 + testmod_conv_module.conv.weight_1_0_1_0: 3 + testmod_conv_module.conv.weight_1_0_1_1: 3 + testmod_conv_module.conv.bias_0: 3 + testmod_conv_module.conv.weight_1_2_1_0: 3 + input_x_0_1_0_2: 3 + testmod_linear.weight_0_0: 3 + input_x_0_2_2_0: 3 + testmod_conv_module.conv.weight_0_0_1_1: 3 + input_x_0_2_2_2: 3 + testmod_conv_module.conv.weight_0_2_1_0: 3 + testmod_conv_module.conv.bias_1: 3 + input_x_0_1_1_0: 3 + testmod_conv_module.conv.weight_1_0_0_1: 3 + input_x_0_0_1_2: 3 + testmod_conv_module.conv.weight_1_0_0_0: 3 + testmod_conv_module.conv.weight_0_1_0_0: 3 + testmod_conv_module.conv.weight_1_2_0_0: 3 + input_x_0_2_2_1: 3 + testmod_conv_module.conv.weight_0_1_0_1: 3 + input_x_0_1_0_0: 3 + testmod_conv_module.conv.weight_0_0_0_1: 3 + input_x_0_0_0_0: 3 + testmod_linear.weight_1_1: 3 + input_x_0_1_1_2: 3 + input_x_0_0_0_1: 3 + testmod_linear.bias_0: 3 + input_x_0_2_0_1: 3 + testmod_conv_module.conv.weight_1_1_1_0: 3 + input_x_0_2_0_2: 3 + input_x_0_1_2_0: 3 + testmod_conv_module.conv.weight_1_1_0_0: 3 + input_x_0_0_1_1: 3 + testmod_conv_module.conv.weight_0_2_0_1: 3 + input_x_0_2_1_1: 3 + testmod_conv_module.conv.weight_0_2_1_1: 3 + input_x_0_2_1_2: 3 + input_x_0_1_2_2: 3 + testmod_conv_module.conv.weight_1_1_1_1: 3 + testmod_linear.bias_1: 3 + input_x_0_1_0_1: 3 + input_x_0_2_1_0: 3 + testmod_conv_module.conv.weight_1_2_1_1: 3 + testmod_conv_module.conv.weight_0_0_1_0: 3 + testmod_conv_module.conv.weight_0_1_1_1: 3 + input_x_0_0_2_1: 3 + input_x_0_1_2_1: 3 expected_outputs: - output_0: - SecretInteger: '669' - output_1: - SecretInteger: '669' + output_0: 669 + output_1: 669 diff --git a/tests/nada-tests/tests/flatten.yaml b/tests/nada-tests/tests/flatten.yaml index 23d5945..e13a585 100644 --- a/tests/nada-tests/tests/flatten.yaml +++ b/tests/nada-tests/tests/flatten.yaml @@ -1,35 +1,19 @@ program: flatten inputs: - input_x_0_0_0_0: - SecretInteger: '1' - input_x_0_0_1_0: - SecretInteger: '2' - input_x_0_1_0_0: - SecretInteger: '3' - input_x_0_1_1_0: - SecretInteger: '4' - input_x_1_0_0_0: - SecretInteger: '5' - input_x_1_0_1_0: - SecretInteger: '6' - input_x_1_1_0_0: - SecretInteger: '7' - input_x_1_1_1_0: - SecretInteger: '8' + input_x_0_0_0_0: 1 + input_x_0_0_1_0: 2 + input_x_0_1_0_0: 3 + input_x_0_1_1_0: 4 + input_x_1_0_0_0: 5 + input_x_1_0_1_0: 6 + input_x_1_1_0_0: 7 + input_x_1_1_1_0: 8 expected_outputs: - x_flat_0: - SecretInteger: '1' - x_flat_1: - SecretInteger: '2' - x_flat_2: - SecretInteger: '3' - x_flat_3: - SecretInteger: '4' - x_flat_4: - SecretInteger: '5' - x_flat_5: - SecretInteger: '6' - x_flat_6: - SecretInteger: '7' - x_flat_7: - SecretInteger: '8' + x_flat_0: 1 + x_flat_1: 2 + x_flat_2: 3 + x_flat_3: 4 + x_flat_4: 5 + x_flat_5: 6 + x_flat_6: 7 + x_flat_7: 8 diff --git a/tests/nada-tests/tests/linear_layers.yaml b/tests/nada-tests/tests/linear_layers.yaml index bfae38d..6f40b43 100644 --- a/tests/nada-tests/tests/linear_layers.yaml +++ b/tests/nada-tests/tests/linear_layers.yaml @@ -1,33 +1,18 @@ program: linear_layers inputs: - input_0: - SecretInteger: '1' - input_1: - SecretInteger: '2' - input_2: - SecretInteger: '3' - testmod_linear_0.weight_0_0: - SecretInteger: '1' - testmod_linear_0.weight_0_1: - SecretInteger: '2' - testmod_linear_0.weight_0_2: - SecretInteger: '3' - testmod_linear_0.weight_1_0: - SecretInteger: '4' - testmod_linear_0.weight_1_1: - SecretInteger: '5' - testmod_linear_0.weight_1_2: - SecretInteger: '6' - testmod_linear_0.bias_0: - SecretInteger: '4' - testmod_linear_0.bias_1: - SecretInteger: '5' - testmod_linear_1.weight_0_0: - SecretInteger: '3' - testmod_linear_1.weight_0_1: - SecretInteger: '4' - testmod_linear_1.bias_0: - SecretInteger: '5' + input_0: 1 + input_1: 2 + input_2: 3 + testmod_linear_0.weight_0_0: 1 + testmod_linear_0.weight_0_1: 2 + testmod_linear_0.weight_0_2: 3 + testmod_linear_0.weight_1_0: 4 + testmod_linear_0.weight_1_1: 5 + testmod_linear_0.weight_1_2: 6 + testmod_linear_0.bias_0: 4 + testmod_linear_0.bias_1: 5 + testmod_linear_1.weight_0_0: 3 + testmod_linear_1.weight_0_1: 4 + testmod_linear_1.bias_0: 5 expected_outputs: - output_0: - SecretInteger: '207' + output_0: 207 diff --git a/tests/nada-tests/tests/linear_regression.yaml b/tests/nada-tests/tests/linear_regression.yaml index 57988e6..fdfcf19 100644 --- a/tests/nada-tests/tests/linear_regression.yaml +++ b/tests/nada-tests/tests/linear_regression.yaml @@ -1,23 +1,13 @@ program: linear_regression inputs: - input_0: - SecretInteger: '1' - input_1: - SecretInteger: '2' - input_2: - SecretInteger: '3' - input_3: - SecretInteger: '3' - testmod_coef_0: - SecretInteger: '4' - testmod_coef_1: - SecretInteger: '3' - testmod_coef_2: - SecretInteger: '2' - testmod_coef_3: - SecretInteger: '1' - testmod_intercept_0: - SecretInteger: '3' + input_0: 1 + input_1: 2 + input_2: 3 + input_3: 3 + testmod_coef_0: 4 + testmod_coef_1: 3 + testmod_coef_2: 2 + testmod_coef_3: 1 + testmod_intercept_0: 3 expected_outputs: - my_output: - SecretInteger: '22' + my_output: 22 diff --git a/tests/nada-tests/tests/load_state.yaml b/tests/nada-tests/tests/load_state.yaml index da649fa..0cb2ea8 100644 --- a/tests/nada-tests/tests/load_state.yaml +++ b/tests/nada-tests/tests/load_state.yaml @@ -1,67 +1,35 @@ program: load_state inputs: - module1_param1_0_0: - SecretInteger: '1' - module1_param1_0_1: - SecretInteger: '2' - module1_param1_1_0: - SecretInteger: '3' - module1_param1_1_1: - SecretInteger: '4' - module1_param1_2_0: - SecretInteger: '5' - module1_param1_2_1: - SecretInteger: '6' - module1_param2_0: - SecretInteger: '7' - module1_param2_1: - SecretInteger: '8' - module2_param1_0_0: - Integer: '1' - module2_param1_0_1: - Integer: '2' - module2_param1_1_0: - Integer: '3' - module2_param1_1_1: - Integer: '4' - module2_param1_2_0: - Integer: '5' - module2_param1_2_1: - Integer: '6' - module2_param2_0: - Integer: '7' - module2_param2_1: - Integer: '8' + module1_param1_0_0: 1 + module1_param1_0_1: 2 + module1_param1_1_0: 3 + module1_param1_1_1: 4 + module1_param1_2_0: 5 + module1_param1_2_1: 6 + module1_param2_0: 7 + module1_param2_1: 8 + module2_param1_0_0: 1 + module2_param1_0_1: 2 + module2_param1_1_0: 3 + module2_param1_1_1: 4 + module2_param1_2_0: 5 + module2_param1_2_1: 6 + module2_param2_0: 7 + module2_param2_1: 8 expected_outputs: - module1_param1_0_0: - SecretInteger: '1' - module1_param1_0_1: - SecretInteger: '2' - module1_param1_1_0: - SecretInteger: '3' - module1_param1_1_1: - SecretInteger: '4' - module1_param1_2_0: - SecretInteger: '5' - module1_param1_2_1: - SecretInteger: '6' - module1_param2_0: - SecretInteger: '7' - module1_param2_1: - SecretInteger: '8' - module2_param1_0_0: - Integer: '1' - module2_param1_0_1: - Integer: '2' - module2_param1_1_0: - Integer: '3' - module2_param1_1_1: - Integer: '4' - module2_param1_2_0: - Integer: '5' - module2_param1_2_1: - Integer: '6' - module2_param2_0: - Integer: '7' - module2_param2_1: - Integer: '8' + module1_param1_0_0: 1 + module1_param1_0_1: 2 + module1_param1_1_0: 3 + module1_param1_1_1: 4 + module1_param1_2_0: 5 + module1_param1_2_1: 6 + module1_param2_0: 7 + module1_param2_1: 8 + module2_param1_0_0: 1 + module2_param1_0_1: 2 + module2_param1_1_0: 3 + module2_param1_1_1: 4 + module2_param1_2_0: 5 + module2_param1_2_1: 6 + module2_param2_0: 7 + module2_param2_1: 8 diff --git a/tests/nada-tests/tests/logistic_regression.yaml b/tests/nada-tests/tests/logistic_regression.yaml index 3b3ae1d..83f5a06 100644 --- a/tests/nada-tests/tests/logistic_regression.yaml +++ b/tests/nada-tests/tests/logistic_regression.yaml @@ -1,47 +1,25 @@ program: logistic_regression inputs: - testmod_coef_1_2: - SecretInteger: '3' - testmod_intercept_2: - SecretInteger: '3' - testmod_coef_1_1: - SecretInteger: '3' - testmod_coef_0_0: - SecretInteger: '3' - input_1: - SecretInteger: '3' - testmod_coef_2_1: - SecretInteger: '3' - testmod_coef_1_0: - SecretInteger: '3' - testmod_coef_1_3: - SecretInteger: '3' - testmod_coef_0_2: - SecretInteger: '3' - input_3: - SecretInteger: '3' - testmod_intercept_0: - SecretInteger: '3' - testmod_coef_2_2: - SecretInteger: '3' - testmod_coef_0_3: - SecretInteger: '3' - input_2: - SecretInteger: '3' - testmod_coef_2_3: - SecretInteger: '3' - testmod_coef_0_1: - SecretInteger: '3' - testmod_intercept_1: - SecretInteger: '3' - input_0: - SecretInteger: '3' - testmod_coef_2_0: - SecretInteger: '3' + testmod_coef_1_2: 3 + testmod_intercept_2: 3 + testmod_coef_1_1: 3 + testmod_coef_0_0: 3 + input_1: 3 + testmod_coef_2_1: 3 + testmod_coef_1_0: 3 + testmod_coef_1_3: 3 + testmod_coef_0_2: 3 + input_3: 3 + testmod_intercept_0: 3 + testmod_coef_2_2: 3 + testmod_coef_0_3: 3 + input_2: 3 + testmod_coef_2_3: 3 + testmod_coef_0_1: 3 + testmod_intercept_1: 3 + input_0: 3 + testmod_coef_2_0: 3 expected_outputs: - my_output_0: - SecretInteger: '39' - my_output_1: - SecretInteger: '39' - my_output_2: - SecretInteger: '39' + my_output_0: 39 + my_output_1: 39 + my_output_2: 39 diff --git a/tests/nada-tests/tests/nested_modules.yaml b/tests/nada-tests/tests/nested_modules.yaml index 155d93b..0ec564e 100644 --- a/tests/nada-tests/tests/nested_modules.yaml +++ b/tests/nada-tests/tests/nested_modules.yaml @@ -1,37 +1,20 @@ program: nested_modules inputs: - input_0: - SecretInteger: '1' - input_1: - SecretInteger: '2' - testmod_mod.param1_0_0: - SecretInteger: '1' - testmod_mod.param1_0_1: - SecretInteger: '2' - testmod_mod.param1_1_0: - SecretInteger: '3' - testmod_mod.param1_1_1: - SecretInteger: '4' - testmod_mod.param1_2_0: - SecretInteger: '5' - testmod_mod.param1_2_1: - SecretInteger: '6' - testmod_mod.param2_0: - SecretInteger: '7' - testmod_mod.param2_1: - SecretInteger: '8' - testmod_mod.param2_2: - SecretInteger: '9' - testmod_param1_0: - SecretInteger: '1' - testmod_param1_1: - SecretInteger: '2' - testmod_param1_2: - SecretInteger: '3' + input_0: 1 + input_1: 2 + testmod_mod.param1_0_0: 1 + testmod_mod.param1_0_1: 2 + testmod_mod.param1_1_0: 3 + testmod_mod.param1_1_1: 4 + testmod_mod.param1_2_0: 5 + testmod_mod.param1_2_1: 6 + testmod_mod.param2_0: 7 + testmod_mod.param2_1: 8 + testmod_mod.param2_2: 9 + testmod_param1_0: 1 + testmod_param1_1: 2 + testmod_param1_2: 3 expected_outputs: - output_0: - SecretInteger: '8' - output_1: - SecretInteger: '10' - output_2: - SecretInteger: '12' + output_0: 8 + output_1: 10 + output_2: 12 diff --git a/tests/nada-tests/tests/parameters.yaml b/tests/nada-tests/tests/parameters.yaml index 5188d82..72c6e7e 100644 --- a/tests/nada-tests/tests/parameters.yaml +++ b/tests/nada-tests/tests/parameters.yaml @@ -1,31 +1,17 @@ program: parameters inputs: - input_0: - SecretInteger: '1' - input_1: - SecretInteger: '2' - testmod_param1_0_0: - SecretInteger: '1' - testmod_param1_0_1: - SecretInteger: '2' - testmod_param1_1_0: - SecretInteger: '3' - testmod_param1_1_1: - SecretInteger: '4' - testmod_param1_2_0: - SecretInteger: '5' - testmod_param1_2_1: - SecretInteger: '6' - testmod_param2_0: - SecretInteger: '7' - testmod_param2_1: - SecretInteger: '8' - testmod_param2_2: - SecretInteger: '9' + input_0: 1 + input_1: 2 + testmod_param1_0_0: 1 + testmod_param1_0_1: 2 + testmod_param1_1_0: 3 + testmod_param1_1_1: 4 + testmod_param1_2_0: 5 + testmod_param1_2_1: 6 + testmod_param2_0: 7 + testmod_param2_1: 8 + testmod_param2_2: 9 expected_outputs: - output_0: - SecretInteger: '7' - output_1: - SecretInteger: '8' - output_2: - SecretInteger: '9' + output_0: 7 + output_1: 8 + output_2: 9 diff --git a/tests/nada-tests/tests/pool.yaml b/tests/nada-tests/tests/pool.yaml index 47e8e0c..ff3e3dd 100644 --- a/tests/nada-tests/tests/pool.yaml +++ b/tests/nada-tests/tests/pool.yaml @@ -1,275 +1,139 @@ program: pool inputs: - input_x_0_0_0_0: - SecretInteger: '4' - input_x_0_2_0_0: - SecretInteger: '4' - input_x_0_3_1_0: - SecretInteger: '4' - input_x_0_2_2_1: - SecretInteger: '4' - input_x_0_1_2_0: - SecretInteger: '4' - input_x_0_1_0_1: - SecretInteger: '4' - input_x_0_1_1_1: - SecretInteger: '4' - input_x_0_1_2_1: - SecretInteger: '4' - input_x_0_2_0_1: - SecretInteger: '4' - input_x_0_2_1_1: - SecretInteger: '4' - input_x_0_0_2_1: - SecretInteger: '4' - input_x_0_0_1_0: - SecretInteger: '4' - input_x_0_2_3_0: - SecretInteger: '4' - input_x_0_3_3_1: - SecretInteger: '4' - input_x_0_2_3_1: - SecretInteger: '4' - input_x_0_2_2_0: - SecretInteger: '4' - input_x_0_0_3_1: - SecretInteger: '4' - input_x_0_1_3_0: - SecretInteger: '4' - input_x_0_3_3_0: - SecretInteger: '4' - input_x_0_2_1_0: - SecretInteger: '4' - input_x_0_0_2_0: - SecretInteger: '4' - input_x_0_0_3_0: - SecretInteger: '4' - input_x_0_1_3_1: - SecretInteger: '4' - input_x_0_0_0_1: - SecretInteger: '4' - input_x_0_1_1_0: - SecretInteger: '4' - input_x_0_1_0_0: - SecretInteger: '4' - input_x_0_3_2_0: - SecretInteger: '4' - input_x_0_3_0_1: - SecretInteger: '4' - input_x_0_3_0_0: - SecretInteger: '4' - input_x_0_3_2_1: - SecretInteger: '4' - input_x_0_3_1_1: - SecretInteger: '4' - input_x_0_0_1_1: - SecretInteger: '4' - input_y_0_0_0: - SecretInteger: '4' - input_y_2_0_0: - SecretInteger: '4' - input_y_3_1_0: - SecretInteger: '4' - input_y_2_2_1: - SecretInteger: '4' - input_y_1_2_0: - SecretInteger: '4' - input_y_1_0_1: - SecretInteger: '4' - input_y_1_1_1: - SecretInteger: '4' - input_y_1_2_1: - SecretInteger: '4' - input_y_2_0_1: - SecretInteger: '4' - input_y_2_1_1: - SecretInteger: '4' - input_y_0_2_1: - SecretInteger: '4' - input_y_0_1_0: - SecretInteger: '4' - input_y_2_3_0: - SecretInteger: '4' - input_y_3_3_1: - SecretInteger: '4' - input_y_2_3_1: - SecretInteger: '4' - input_y_2_2_0: - SecretInteger: '4' - input_y_0_3_1: - SecretInteger: '4' - input_y_1_3_0: - SecretInteger: '4' - input_y_3_3_0: - SecretInteger: '4' - input_y_2_1_0: - SecretInteger: '4' - input_y_0_2_0: - SecretInteger: '4' - input_y_0_3_0: - SecretInteger: '4' - input_y_1_3_1: - SecretInteger: '4' - input_y_0_0_1: - SecretInteger: '4' - input_y_1_1_0: - SecretInteger: '4' - input_y_1_0_0: - SecretInteger: '4' - input_y_3_2_0: - SecretInteger: '4' - input_y_3_0_1: - SecretInteger: '4' - input_y_3_0_0: - SecretInteger: '4' - input_y_3_2_1: - SecretInteger: '4' - input_y_3_1_1: - SecretInteger: '4' - input_y_0_1_1: - SecretInteger: '4' + input_x_0_0_0_0: 4 + input_x_0_2_0_0: 4 + input_x_0_3_1_0: 4 + input_x_0_2_2_1: 4 + input_x_0_1_2_0: 4 + input_x_0_1_0_1: 4 + input_x_0_1_1_1: 4 + input_x_0_1_2_1: 4 + input_x_0_2_0_1: 4 + input_x_0_2_1_1: 4 + input_x_0_0_2_1: 4 + input_x_0_0_1_0: 4 + input_x_0_2_3_0: 4 + input_x_0_3_3_1: 4 + input_x_0_2_3_1: 4 + input_x_0_2_2_0: 4 + input_x_0_0_3_1: 4 + input_x_0_1_3_0: 4 + input_x_0_3_3_0: 4 + input_x_0_2_1_0: 4 + input_x_0_0_2_0: 4 + input_x_0_0_3_0: 4 + input_x_0_1_3_1: 4 + input_x_0_0_0_1: 4 + input_x_0_1_1_0: 4 + input_x_0_1_0_0: 4 + input_x_0_3_2_0: 4 + input_x_0_3_0_1: 4 + input_x_0_3_0_0: 4 + input_x_0_3_2_1: 4 + input_x_0_3_1_1: 4 + input_x_0_0_1_1: 4 + input_y_0_0_0: 4 + input_y_2_0_0: 4 + input_y_3_1_0: 4 + input_y_2_2_1: 4 + input_y_1_2_0: 4 + input_y_1_0_1: 4 + input_y_1_1_1: 4 + input_y_1_2_1: 4 + input_y_2_0_1: 4 + input_y_2_1_1: 4 + input_y_0_2_1: 4 + input_y_0_1_0: 4 + input_y_2_3_0: 4 + input_y_3_3_1: 4 + input_y_2_3_1: 4 + input_y_2_2_0: 4 + input_y_0_3_1: 4 + input_y_1_3_0: 4 + input_y_3_3_0: 4 + input_y_2_1_0: 4 + input_y_0_2_0: 4 + input_y_0_3_0: 4 + input_y_1_3_1: 4 + input_y_0_0_1: 4 + input_y_1_1_0: 4 + input_y_1_0_0: 4 + input_y_3_2_0: 4 + input_y_3_0_1: 4 + input_y_3_0_0: 4 + input_y_3_2_1: 4 + input_y_3_1_1: 4 + input_y_0_1_1: 4 expected_outputs: - x_pool2_0_2_1_1: - SecretInteger: '2' - x_pool2_0_1_2_0: - SecretInteger: '1' - x_pool2_0_3_2_1: - SecretInteger: '1' - x_pool1_0_2_1_0: - SecretInteger: '4' - x_pool1_0_3_0_0: - SecretInteger: '4' - x_pool1_0_1_1_0: - SecretInteger: '4' - x_pool2_0_3_0_0: - SecretInteger: '1' - x_pool2_0_3_1_1: - SecretInteger: '2' - x_pool1_0_3_2_0: - SecretInteger: '4' - x_pool1_0_0_1_0: - SecretInteger: '4' - x_pool1_0_3_1_0: - SecretInteger: '4' - x_pool2_0_2_1_0: - SecretInteger: '2' - x_pool1_0_0_0_0: - SecretInteger: '4' - x_pool2_0_1_0_1: - SecretInteger: '1' - x_pool2_0_1_0_0: - SecretInteger: '1' - x_pool2_0_2_2_1: - SecretInteger: '1' - x_pool2_0_0_2_1: - SecretInteger: '1' - x_pool2_0_0_0_0: - SecretInteger: '1' - x_pool2_0_1_1_1: - SecretInteger: '2' - x_pool1_0_0_2_0: - SecretInteger: '4' - x_pool2_0_3_2_0: - SecretInteger: '1' - x_pool1_0_1_2_0: - SecretInteger: '4' - x_pool1_0_2_0_0: - SecretInteger: '4' - x_pool2_0_0_1_0: - SecretInteger: '2' - x_pool2_0_3_1_0: - SecretInteger: '2' - x_pool2_0_1_2_1: - SecretInteger: '1' - x_pool2_0_1_1_0: - SecretInteger: '2' - x_pool2_0_2_2_0: - SecretInteger: '1' - x_pool2_0_2_0_1: - SecretInteger: '1' - x_pool1_0_1_0_0: - SecretInteger: '4' - x_pool2_0_3_0_1: - SecretInteger: '1' - x_pool1_0_2_2_0: - SecretInteger: '4' - x_pool2_0_0_1_1: - SecretInteger: '2' - x_pool2_0_0_0_1: - SecretInteger: '1' - x_pool2_0_0_2_0: - SecretInteger: '1' - x_pool2_0_2_0_0: - SecretInteger: '1' - y_pool2_2_1_1: - SecretInteger: '2' - y_pool2_1_2_0: - SecretInteger: '1' - y_pool2_3_2_1: - SecretInteger: '1' - y_pool1_2_1_0: - SecretInteger: '4' - y_pool1_3_0_0: - SecretInteger: '4' - y_pool1_1_1_0: - SecretInteger: '4' - y_pool2_3_0_0: - SecretInteger: '1' - y_pool2_3_1_1: - SecretInteger: '2' - y_pool1_3_2_0: - SecretInteger: '4' - y_pool1_0_1_0: - SecretInteger: '4' - y_pool1_3_1_0: - SecretInteger: '4' - y_pool2_2_1_0: - SecretInteger: '2' - y_pool1_0_0_0: - SecretInteger: '4' - y_pool2_1_0_1: - SecretInteger: '1' - y_pool2_1_0_0: - SecretInteger: '1' - y_pool2_2_2_1: - SecretInteger: '1' - y_pool2_0_2_1: - SecretInteger: '1' - y_pool2_0_0_0: - SecretInteger: '1' - y_pool2_1_1_1: - SecretInteger: '2' - y_pool1_0_2_0: - SecretInteger: '4' - y_pool2_3_2_0: - SecretInteger: '1' - y_pool1_1_2_0: - SecretInteger: '4' - y_pool1_2_0_0: - SecretInteger: '4' - y_pool2_0_1_0: - SecretInteger: '2' - y_pool2_3_1_0: - SecretInteger: '2' - y_pool2_1_2_1: - SecretInteger: '1' - y_pool2_1_1_0: - SecretInteger: '2' - y_pool2_2_2_0: - SecretInteger: '1' - y_pool2_2_0_1: - SecretInteger: '1' - y_pool1_1_0_0: - SecretInteger: '4' - y_pool2_3_0_1: - SecretInteger: '1' - y_pool1_2_2_0: - SecretInteger: '4' - y_pool2_0_1_1: - SecretInteger: '2' - y_pool2_0_0_1: - SecretInteger: '1' - y_pool2_0_2_0: - SecretInteger: '1' - y_pool2_2_0_0: - SecretInteger: '1' + x_pool2_0_2_1_1: 2 + x_pool2_0_1_2_0: 1 + x_pool2_0_3_2_1: 1 + x_pool1_0_2_1_0: 4 + x_pool1_0_3_0_0: 4 + x_pool1_0_1_1_0: 4 + x_pool2_0_3_0_0: 1 + x_pool2_0_3_1_1: 2 + x_pool1_0_3_2_0: 4 + x_pool1_0_0_1_0: 4 + x_pool1_0_3_1_0: 4 + x_pool2_0_2_1_0: 2 + x_pool1_0_0_0_0: 4 + x_pool2_0_1_0_1: 1 + x_pool2_0_1_0_0: 1 + x_pool2_0_2_2_1: 1 + x_pool2_0_0_2_1: 1 + x_pool2_0_0_0_0: 1 + x_pool2_0_1_1_1: 2 + x_pool1_0_0_2_0: 4 + x_pool2_0_3_2_0: 1 + x_pool1_0_1_2_0: 4 + x_pool1_0_2_0_0: 4 + x_pool2_0_0_1_0: 2 + x_pool2_0_3_1_0: 2 + x_pool2_0_1_2_1: 1 + x_pool2_0_1_1_0: 2 + x_pool2_0_2_2_0: 1 + x_pool2_0_2_0_1: 1 + x_pool1_0_1_0_0: 4 + x_pool2_0_3_0_1: 1 + x_pool1_0_2_2_0: 4 + x_pool2_0_0_1_1: 2 + x_pool2_0_0_0_1: 1 + x_pool2_0_0_2_0: 1 + x_pool2_0_2_0_0: 1 + y_pool2_2_1_1: 2 + y_pool2_1_2_0: 1 + y_pool2_3_2_1: 1 + y_pool1_2_1_0: 4 + y_pool1_3_0_0: 4 + y_pool1_1_1_0: 4 + y_pool2_3_0_0: 1 + y_pool2_3_1_1: 2 + y_pool1_3_2_0: 4 + y_pool1_0_1_0: 4 + y_pool1_3_1_0: 4 + y_pool2_2_1_0: 2 + y_pool1_0_0_0: 4 + y_pool2_1_0_1: 1 + y_pool2_1_0_0: 1 + y_pool2_2_2_1: 1 + y_pool2_0_2_1: 1 + y_pool2_0_0_0: 1 + y_pool2_1_1_1: 2 + y_pool1_0_2_0: 4 + y_pool2_3_2_0: 1 + y_pool1_1_2_0: 4 + y_pool1_2_0_0: 4 + y_pool2_0_1_0: 2 + y_pool2_3_1_0: 2 + y_pool2_1_2_1: 1 + y_pool2_1_1_0: 2 + y_pool2_2_2_0: 1 + y_pool2_2_0_1: 1 + y_pool1_1_0_0: 4 + y_pool2_3_0_1: 1 + y_pool1_2_2_0: 4 + y_pool2_0_1_1: 2 + y_pool2_0_0_1: 1 + y_pool2_0_2_0: 1 + y_pool2_2_0_0: 1 diff --git a/tests/nada-tests/tests/prophet.yaml b/tests/nada-tests/tests/prophet.yaml index ef2318d..20fd8fe 100644 --- a/tests/nada-tests/tests/prophet.yaml +++ b/tests/nada-tests/tests/prophet.yaml @@ -1,53 +1,28 @@ program: prophet inputs: - my_prophet_m_0_0: - SecretInteger: '3' - my_prophet_beta_0_4: - SecretInteger: '3' - my_prophet_beta_0_5: - SecretInteger: '3' - my_prophet_changepoints_t_1: - SecretInteger: '3' - my_prophet_delta_0_1: - SecretInteger: '3' - my_prophet_y_scale_0: - SecretInteger: '3' - floor_2: - SecretInteger: '3' - my_prophet_delta_0_0: - SecretInteger: '3' - floor_3: - SecretInteger: '3' - t_2: - SecretInteger: '3' - floor_0: - SecretInteger: '3' - my_prophet_changepoints_t_0: - SecretInteger: '3' - my_prophet_beta_0_1: - SecretInteger: '3' - t_1: - SecretInteger: '3' - my_prophet_beta_0_3: - SecretInteger: '3' - my_prophet_k_0_0: - SecretInteger: '3' - my_prophet_beta_0_2: - SecretInteger: '3' - floor_1: - SecretInteger: '3' - t_0: - SecretInteger: '3' - t_3: - SecretInteger: '3' - my_prophet_beta_0_0: - SecretInteger: '3' + my_prophet_m_0_0: 3 + my_prophet_beta_0_4: 3 + my_prophet_beta_0_5: 3 + my_prophet_changepoints_t_1: 3 + my_prophet_delta_0_1: 3 + my_prophet_y_scale_0: 3 + floor_2: 3 + my_prophet_delta_0_0: 3 + floor_3: 3 + t_2: 3 + floor_0: 3 + my_prophet_changepoints_t_0: 3 + my_prophet_beta_0_1: 3 + t_1: 3 + my_prophet_beta_0_3: 3 + my_prophet_k_0_0: 3 + my_prophet_beta_0_2: 3 + floor_1: 3 + t_0: 3 + t_3: 3 + my_prophet_beta_0_0: 3 expected_outputs: - forecast_2: - SecretInteger: '3' - forecast_0: - SecretInteger: '3' - forecast_3: - SecretInteger: '3' - forecast_1: - SecretInteger: '2' + forecast_2: 3 + forecast_0: 3 + forecast_3: 3 + forecast_1: 2 diff --git a/tests/test_all_nada.py b/tests/test_all_nada.py index 99fe683..4e964da 100644 --- a/tests/test_all_nada.py +++ b/tests/test_all_nada.py @@ -60,23 +60,10 @@ class TestSuite: def test_build(self, testname): # Get current working directory - cwd = os.getcwd() - try: - # Build Nada Program - build_nada(testname) - finally: - # Return to initial directory - os.chdir(cwd) + build_nada(testname) def test_run(self, testname): - # Get current working directory - cwd = os.getcwd() - try: - # Build Nada Program - build_nada(testname) - finally: - # Return to initial directory - os.chdir(cwd) + run_nada(testname) def test_client(): From 002705061250d0ce9f9cdc234e044e3ef3cfe651 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Cabrero-Holgueras?= Date: Thu, 29 Aug 2024 12:07:48 +0000 Subject: [PATCH 5/7] chore: version update to 0.5.0 --- pyproject.toml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index d54b197..fcb63c2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "nada-ai" -version = "0.4.0" +version = "0.5.0" description = "Nada-AI is a Python library designed for AI/ML on top of Nada DSL and Nillion Network." authors = ["Mathias Leys "] readme = "README.md" @@ -11,9 +11,9 @@ torch = "^2.0.0" scikit-learn = "^1.4.2" prophet = "^1.1.5" nillion-python-helpers = "^0.2.3" -nada-numpy="^0.4.0" -nada-dsl="^0.5.0" -py-nillion-client="^0.5.0" +nada-numpy="^0.5.0" +nada-dsl="^0.6.0" +py-nillion-client="^0.6.0" torchvision = {version="^0.18.1", optional=true} black = {version="^24.4.2", optional=true} isort = {version="^5.13.2", optional=true} From d54356373b91d0d94453e81b510405b12d4fd6d8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Cabrero-Holgueras?= Date: Thu, 29 Aug 2024 12:10:08 +0000 Subject: [PATCH 6/7] cchore: version update --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index fcb63c2..72af4fe 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,7 +22,7 @@ isort = {version="^5.13.2", optional=true} pytest = "^8.2.0" pandas = "^2.2.2" pylint = "^3.2.3" -mypy = "^1.10.0" +mypy = "^1.11.2" [build-system] requires = ["poetry-core"] From 56ca72944bd839eaa071bef816ff4bc5c473c196 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Cabrero-Holgueras?= Date: Fri, 30 Aug 2024 14:11:04 +0000 Subject: [PATCH 7/7] chore: update poetry.lock --- poetry.lock | 788 +++++++++++++++++++++++++++------------------------- 1 file changed, 416 insertions(+), 372 deletions(-) diff --git a/poetry.lock b/poetry.lock index cbab7e3..30e0548 100644 --- a/poetry.lock +++ b/poetry.lock @@ -34,22 +34,22 @@ test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] [[package]] name = "attrs" -version = "23.2.0" +version = "24.2.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.7" files = [ - {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"}, - {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"}, + {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"}, + {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}, ] [package.extras] -cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] -dev = ["attrs[tests]", "pre-commit"] -docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] -tests = ["attrs[tests-no-zope]", "zope-interface"] -tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] -tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] +benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] [[package]] name = "bech32" @@ -64,33 +64,33 @@ files = [ [[package]] name = "black" -version = "24.4.2" +version = "24.8.0" description = "The uncompromising code formatter." optional = true python-versions = ">=3.8" files = [ - {file = "black-24.4.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dd1b5a14e417189db4c7b64a6540f31730713d173f0b63e55fabd52d61d8fdce"}, - {file = "black-24.4.2-cp310-cp310-macosx_11_0_arm64.whl", hash = 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