sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
keras-team/keras:keras/src/quantizers/awq.py | """AWQ (Activation-aware Weight Quantization) algorithm implementation.
AWQ protects salient weights by finding optimal per-channel scales based on
activation magnitudes, then applies those scales before quantization.
Reference: https://arxiv.org/abs/2306.00978
"""
import types
from keras.src import ops
from keras.... | {
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keras-team/keras:keras/src/quantizers/awq_config.py | from keras.src.api_export import keras_export
from keras.src.quantizers.quantization_config import QuantizationConfig
@keras_export("keras.quantizers.AWQConfig")
class AWQConfig(QuantizationConfig):
"""Configuration class for AWQ (Activation-aware Weight Quantization).
AWQ is a post-training quantization met... | {
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"file_path": "keras/src/quantizers/awq_config.py",
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} | documentation |
keras-team/keras:keras/src/quantizers/awq_config_test.py | import pytest
from keras.src import testing
from keras.src.quantizers.awq_config import AWQConfig
@pytest.mark.requires_trainable_backend
class AWQConfigTest(testing.TestCase):
"""Test AWQConfig validation and serialization."""
class MockTokenizer:
"""Mock tokenizer for testing purposes."""
... | {
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"file_path": "keras/src/quantizers/awq_config_test.py",
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} | test |
keras-team/keras:keras/src/quantizers/awq_core.py | """AWQ core functionality for layer-wise quantization.
This module provides the orchestration logic for applying AWQ quantization
to transformer models in a layer-by-layer fashion.
"""
from contextlib import contextmanager
from absl import logging
from keras.src import ops
from keras.src import utils as keras_utils... | {
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keras-team/keras:keras/src/saving/orbax_util.py | """Orbax checkpoint loading functionality."""
import os
from keras.src.utils import file_utils
from keras.src.utils.module_utils import ocp
def is_orbax_checkpoint(filepath):
"""Check if the given path is an Orbax checkpoint directory.
This function implements custom detection logic instead of relying on
... | {
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} | function_simple |
keras-team/keras:keras/src/layers/pooling/adaptive_average_pooling1d.py | """Adaptive Average Pooling 1D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveAveragePooling,
)
@keras_export("keras.layers.AdaptiveAveragePooling1D")
class AdaptiveAveragePooling1D(BaseAdaptiveAveragePooling):
"""Adaptive aver... | {
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"file_path": "keras/src/layers/pooling/adaptive_average_pooling1d.py",
"license": "Apache License 2.0",
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} | documentation |
keras-team/keras:keras/src/layers/pooling/adaptive_average_pooling2d.py | """Adaptive Average Pooling 2D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveAveragePooling,
)
@keras_export("keras.layers.AdaptiveAveragePooling2D")
class AdaptiveAveragePooling2D(BaseAdaptiveAveragePooling):
"""Adaptive aver... | {
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"file_path": "keras/src/layers/pooling/adaptive_average_pooling2d.py",
"license": "Apache License 2.0",
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} | documentation |
keras-team/keras:keras/src/layers/pooling/adaptive_average_pooling3d.py | """Adaptive Average Pooling 3D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveAveragePooling,
)
@keras_export("keras.layers.AdaptiveAveragePooling3D")
class AdaptiveAveragePooling3D(BaseAdaptiveAveragePooling):
"""Adaptive aver... | {
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"file_path": "keras/src/layers/pooling/adaptive_average_pooling3d.py",
"license": "Apache License 2.0",
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"canary_id": -1,
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} | documentation |
keras-team/keras:keras/src/layers/pooling/adaptive_max_pooling1d.py | """Adaptive Max Pooling 1D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveMaxPooling,
)
@keras_export("keras.layers.AdaptiveMaxPooling1D")
class AdaptiveMaxPooling1D(BaseAdaptiveMaxPooling):
"""Adaptive max pooling operation fo... | {
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"file_path": "keras/src/layers/pooling/adaptive_max_pooling1d.py",
"license": "Apache License 2.0",
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"canary_id": -1,
"canary_value": "",
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} | documentation |
keras-team/keras:keras/src/layers/pooling/adaptive_max_pooling2d.py | """Adaptive Max Pooling 2D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveMaxPooling,
)
@keras_export("keras.layers.AdaptiveMaxPooling2D")
class AdaptiveMaxPooling2D(BaseAdaptiveMaxPooling):
"""Adaptive max pooling operation fo... | {
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"file_path": "keras/src/layers/pooling/adaptive_max_pooling2d.py",
"license": "Apache License 2.0",
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"canary_id": -1,
"canary_value": "",
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} | documentation |
keras-team/keras:keras/src/layers/pooling/adaptive_max_pooling3d.py | """Adaptive Max Pooling 3D layer."""
from keras.src.api_export import keras_export
from keras.src.layers.pooling.base_adaptive_pooling import (
BaseAdaptiveMaxPooling,
)
@keras_export("keras.layers.AdaptiveMaxPooling3D")
class AdaptiveMaxPooling3D(BaseAdaptiveMaxPooling):
"""Adaptive max pooling operation fo... | {
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"file_path": "keras/src/layers/pooling/adaptive_max_pooling3d.py",
"license": "Apache License 2.0",
"lines": 53,
"canary_id": -1,
"canary_value": "",
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"regex_pattern": "",
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} | documentation |
keras-team/keras:keras/src/layers/pooling/adaptive_pooling1d_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import testing
SKIP_BACKENDS = ["openvino"]
pytestmark = pytest.mark.skipif(
backend.backend() in SKIP_BACKENDS,
reason=(
"Adaptive pooling tests not supported for backend: {}".format(
... | {
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"file_path": "keras/src/layers/pooling/adaptive_pooling1d_test.py",
"license": "Apache License 2.0",
"lines": 112,
"canary_id": -1,
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} | test |
keras-team/keras:keras/src/layers/pooling/adaptive_pooling2d_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import testing
SKIP_BACKENDS = ["openvino"]
pytestmark = pytest.mark.skipif(
backend.backend() in SKIP_BACKENDS,
reason=(
"Adaptive pooling tests not supported for backend: {}".format(
... | {
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"file_path": "keras/src/layers/pooling/adaptive_pooling2d_test.py",
"license": "Apache License 2.0",
"lines": 156,
"canary_id": -1,
"canary_value": "",
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} | test |
keras-team/keras:keras/src/layers/pooling/adaptive_pooling3d_test.py | import numpy as np
import pytest
from keras.src import backend
from keras.src import layers
from keras.src import testing
SKIP_BACKENDS = ["openvino"]
pytestmark = pytest.mark.skipif(
backend.backend() in SKIP_BACKENDS,
reason=(
"Adaptive pooling tests not supported for backend: {}".format(
... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/layers/pooling/adaptive_pooling3d_test.py",
"license": "Apache License 2.0",
"lines": 144,
"canary_id": -1,
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keras-team/keras:keras/src/layers/pooling/base_adaptive_pooling.py | """Base classes for adaptive pooling layers."""
from keras.src import ops
from keras.src.backend import config
from keras.src.layers.layer import Layer
class BaseAdaptivePooling(Layer):
"""Base class shared by all adaptive pooling layers."""
def __init__(self, output_size, data_format=None, **kwargs):
... | {
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"file_path": "keras/src/layers/pooling/base_adaptive_pooling.py",
"license": "Apache License 2.0",
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} | function_simple |
keras-team/keras:keras/src/quantizers/quantization_config.py | from keras.src.api_export import keras_export
from keras.src.dtype_policies import QUANTIZATION_MODES
from keras.src.saving import serialization_lib
@keras_export("keras.quantizers.QuantizationConfig")
class QuantizationConfig:
"""Base class for quantization configs.
Subclasses must implement the `mode` prop... | {
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"file_path": "keras/src/quantizers/quantization_config.py",
"license": "Apache License 2.0",
"lines": 284,
"canary_id": -1,
"canary_value": "",
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"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/quantizers/quantization_config_test.py | import os
from keras.src import layers
from keras.src import models
from keras.src import saving
from keras.src import testing
from keras.src.quantizers.quantization_config import Int4QuantizationConfig
from keras.src.quantizers.quantization_config import Int8QuantizationConfig
from keras.src.quantizers.quantization_c... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/quantizers/quantization_config_test.py",
"license": "Apache License 2.0",
"lines": 187,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/quantizers/utils_test.py | from absl.testing import parameterized
from keras.src import layers
from keras.src import testing
from keras.src.quantizers import utils
class UtilsTest(testing.TestCase):
@parameterized.named_parameters(
("none_filter", None, "dense", True),
("regex_match", "dense", "dense_1", True),
("r... | {
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"file_path": "keras/src/quantizers/utils_test.py",
"license": "Apache License 2.0",
"lines": 17,
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} | test |
keras-team/keras:keras/src/export/litert.py | from keras.src import layers
from keras.src import models
from keras.src import tree
from keras.src.export.export_utils import get_input_signature
from keras.src.utils import io_utils
from keras.src.utils.module_utils import tensorflow as tf
def export_litert(
model,
filepath,
input_signature=None,
**... | {
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"file_path": "keras/src/export/litert.py",
"license": "Apache License 2.0",
"lines": 205,
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"canary_value": "",
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} | function_complex |
keras-team/keras:keras/src/export/litert_test.py | import os
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import ops
from keras.src import testing
from keras.src import tree
from keras.src.saving import saving_lib
from keras.src.testing.te... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/export/litert_test.py",
"license": "Apache License 2.0",
"lines": 1079,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/callbacks/orbax_checkpoint.py | import warnings
import numpy as np
from keras.src import backend
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.callbacks.monitor_callback import (
MonitorCallback, # For metric monitoring logic
)
from keras.src.saving import saving_lib
from keras.src.utils.module_utils i... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/callbacks/orbax_checkpoint.py",
"license": "Apache License 2.0",
"lines": 321,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/callbacks/orbax_checkpoint_test.py | import os
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import saving
from keras.src import testing
from keras.src import utils
from keras.src.callbacks.orbax_checkpoint import OrbaxCheckpo... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/callbacks/orbax_checkpoint_test.py",
"license": "Apache License 2.0",
"lines": 491,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/utils/progbar_test.py | import numpy as np
from absl.testing import parameterized
from keras.src import testing
from keras.src.utils import progbar
class ProgbarTest(testing.TestCase):
@parameterized.named_parameters(
[
("float", "float"),
("np", "np"),
("list", "list"),
]
)
d... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/utils/progbar_test.py",
"license": "Apache License 2.0",
"lines": 23,
"canary_id": -1,
"canary_value": "",
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"provider": "",
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} | test |
keras-team/keras:keras/src/utils/image_utils_test.py | import os
import numpy as np
from absl.testing import parameterized
from keras.src import testing
from keras.src.utils import img_to_array
from keras.src.utils import load_img
from keras.src.utils import save_img
class SaveImgTest(testing.TestCase, parameterized.TestCase):
@parameterized.named_parameters(
... | {
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"file_path": "keras/src/utils/image_utils_test.py",
"license": "Apache License 2.0",
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} | test |
keras-team/keras:keras/src/distillation/distillation_loss.py | import keras
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.saving import serialization_lib
from keras.src.utils import tracking
def _convert_loss_to_function(loss_item):
"""Convert a loss string identifier to a loss function.
Arguments:
loss_item: Either a st... | {
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"file_path": "keras/src/distillation/distillation_loss.py",
"license": "Apache License 2.0",
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"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | documentation |
keras-team/keras:keras/src/distillation/distillation_loss_test.py | import numpy as np
import pytest
import keras
from keras.src.distillation.distillation_loss import FeatureDistillation
from keras.src.distillation.distillation_loss import LogitsDistillation
from keras.src.distillation.distiller import Distiller
from keras.src.testing import TestCase
@pytest.mark.requires_trainable_... | {
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"file_path": "keras/src/distillation/distillation_loss_test.py",
"license": "Apache License 2.0",
"lines": 192,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/distillation/distiller.py | import keras
from keras.src import tree
from keras.src.api_export import keras_export
from keras.src.distillation.distillation_loss import _convert_loss_to_function
from keras.src.models.model import Model
from keras.src.saving import serialization_lib
@keras_export("keras.distillation.Distiller")
class Distiller(Mod... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/distillation/distiller.py",
"license": "Apache License 2.0",
"lines": 520,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/distillation/distiller_test.py | import json
import os
import numpy as np
import pytest
import keras
from keras.src.distillation.distillation_loss import LogitsDistillation
from keras.src.distillation.distiller import Distiller
from keras.src.testing import TestCase
class SimpleTeacher(keras.Model):
"""Simple teacher model for testing."""
... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/distillation/distiller_test.py",
"license": "Apache License 2.0",
"lines": 430,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
keras-team/keras:keras/src/layers/core/reversible_embedding.py | import copy
import math
from keras.src import dtype_policies
from keras.src import layers
from keras.src import ops
from keras.src import quantizers
from keras.src.api_export import keras_export
from keras.src.backend import KerasTensor
from keras.src.backend import set_keras_mask
from keras.src.quantizers.quantizatio... | {
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"file_path": "keras/src/layers/core/reversible_embedding.py",
"license": "Apache License 2.0",
"lines": 489,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/layers/core/reversible_embedding_test.py | import math
import os
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import ops
from keras.src import saving
from keras.src import testing
from keras.src.quantizers.quantization_config impor... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/layers/core/reversible_embedding_test.py",
"license": "Apache License 2.0",
"lines": 444,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | test |
keras-team/keras:keras/src/tree/torchtree_impl.py | from collections import defaultdict
from torch.utils import _pytree as torch_tree
def register_tree_node_class(cls):
torch_tree.register_pytree_node(
cls,
flatten_fn=lambda x: x.torchtree_flatten(),
unflatten_fn=cls.torchtree_unflatten,
serialized_type_name=f"{cls.__name__}",
... | {
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"file_path": "keras/src/tree/torchtree_impl.py",
"license": "Apache License 2.0",
"lines": 173,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | function_complex |
keras-team/keras:keras/src/quantizers/gptq_config_test.py | from keras.src import testing
from keras.src.quantizers.gptq_config import GPTQConfig
class TestGPTQConfig(testing.TestCase):
def test_invalid_weight_bits(self):
with self.assertRaisesRegex(ValueError, "Unsupported weight_bits"):
GPTQConfig(dataset=None, tokenizer=None, weight_bits=1)
... | {
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"file_path": "keras/src/quantizers/gptq_config_test.py",
"license": "Apache License 2.0",
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"canary_id": -1,
"canary_value": "",
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"template": ""
} | test |
keras-team/keras:keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/validation_test.py | import pytest
import tensorflow as tf
from keras.src import backend
from keras.src.layers.preprocessing.image_preprocessing.bounding_boxes import (
validation,
)
from keras.src.testing import test_case
@pytest.mark.skipif(
backend.backend() != "tensorflow",
reason="The test targets TensorFlow-specific ra... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/validation_test.py",
"license": "Apache License 2.0",
"lines": 70,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template"... | test |
keras-team/keras:keras/src/quantizers/gptq.py | import types
from keras.src import ops
from keras.src import quantizers
from keras.src.layers import Dense
from keras.src.layers import EinsumDense
from keras.src.ops import linalg
from keras.src.quantizers.gptq_config import GPTQConfig
from keras.src.quantizers.quantizers import GPTQQuantizer
from keras.src.quantizer... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/quantizers/gptq.py",
"license": "Apache License 2.0",
"lines": 432,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/quantizers/gptq_config.py | from keras.src.api_export import keras_export
from keras.src.quantizers.quantization_config import QuantizationConfig
@keras_export("keras.quantizers.GPTQConfig")
class GPTQConfig(QuantizationConfig):
"""Configuration class for the GPTQ (Gradient-based Post-Training
Quantization) algorithm.
GPTQ is a pos... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/quantizers/gptq_config.py",
"license": "Apache License 2.0",
"lines": 196,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
keras-team/keras:keras/src/quantizers/gptq_core.py | import math
from contextlib import contextmanager
import numpy as np
from absl import logging
from keras.src import ops
from keras.src import utils as keras_utils
from keras.src.dtype_policies.dtype_policy import GPTQDTypePolicy
from keras.src.dtype_policies.dtype_policy_map import DTypePolicyMap
from keras.src.layer... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/quantizers/gptq_core.py",
"license": "Apache License 2.0",
"lines": 380,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/quantizers/gptq_core_test.py | import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import layers
from keras.src import models
from keras.src import ops
from keras.src import testing
from keras.src.quantizers.gptq_config import GPTQConfig
from keras.src.quantizers.gptq_core import get_dataloader
from keras.src.quan... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/quantizers/gptq_core_test.py",
"license": "Apache License 2.0",
"lines": 273,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/quantizers/gptq_test.py | from collections.abc import Callable
import numpy as np
import pytest
from absl.testing import parameterized
import keras
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import ops
from keras.src import testing
from keras.src.quantizers.gptq import GPTQ
from kera... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/quantizers/gptq_test.py",
"license": "Apache License 2.0",
"lines": 606,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/layers/preprocessing/data_layer.py | import keras.src.backend
from keras.src import tree
from keras.src.layers.layer import Layer
from keras.src.random.seed_generator import SeedGenerator
from keras.src.utils import backend_utils
from keras.src.utils import jax_utils
from keras.src.utils import tracking
class DataLayer(Layer):
"""Layer designed for ... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/layers/preprocessing/data_layer.py",
"license": "Apache License 2.0",
"lines": 133,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
keras-team/keras:keras/src/layers/preprocessing/data_layer_test.py | import grain
import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import testing
from keras.src.layers.preprocessing.data_layer import DataLayer
from keras.src.random import SeedGenerator
class RandomRGBToHSVLayer(DataLayer):
def __init__(self, data... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/layers/preprocessing/data_layer_test.py",
"license": "Apache License 2.0",
"lines": 77,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/utils/grain_utils.py | from keras.src import backend
from keras.src import tree
def make_batch(values):
from keras.src import ops
if not values:
raise ValueError("Cannot batch 0 values. Please file a bug.")
with backend.device_scope("cpu"):
return tree.map_structure(lambda *xs: ops.stack(xs), *values)
def ma... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/utils/grain_utils.py",
"license": "Apache License 2.0",
"lines": 23,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
keras-team/keras:keras/src/backend/jax/core_test.py | import os
import jax
import jax.numpy as jnp
import numpy as np
import pytest
import keras
from keras.src import backend
from keras.src import testing
from keras.src.backend.config import is_nnx_enabled
if is_nnx_enabled():
from flax import nnx
from keras.src.backend.jax.core import NnxVariable
@pytest.ma... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/backend/jax/core_test.py",
"license": "Apache License 2.0",
"lines": 56,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/export/openvino.py | import warnings
from keras.src import backend
from keras.src import tree
from keras.src.export.export_utils import convert_spec_to_tensor
from keras.src.export.export_utils import get_input_signature
from keras.src.export.export_utils import make_tf_tensor_spec
from keras.src.export.saved_model import DEFAULT_ENDPOINT... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/export/openvino.py",
"license": "Apache License 2.0",
"lines": 175,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/export/openvino_test.py | import os
import numpy as np
import pytest
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import ops
from keras.src import testing
from keras.src import tree
from keras.src.export import openvino
from keras.src.saving impor... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/export/openvino_test.py",
"license": "Apache License 2.0",
"lines": 216,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/trainers/data_adapters/grain_dataset_adapter.py | import itertools
import numpy as np
from keras.src import tree
from keras.src.trainers.data_adapters import data_adapter_utils
from keras.src.trainers.data_adapters.data_adapter import DataAdapter
from keras.src.utils.module_utils import grain
from keras.src.utils.module_utils import tensorflow as tf
class GrainDat... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/trainers/data_adapters/grain_dataset_adapter.py",
"license": "Apache License 2.0",
"lines": 189,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/trainers/data_adapters/grain_dataset_adapter_test.py | import grain
import numpy as np
import tensorflow as tf
import torch
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.testing.test_utils import named_product
from keras.src.trainers.data_adapters import grain_dataset_adapter
class Range2DSource(grain.s... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/trainers/data_adapters/grain_dataset_adapter_test.py",
"license": "Apache License 2.0",
"lines": 190,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/ops/ops_test.py | import inspect
from absl.testing import parameterized
try:
from keras.api import ops as api_ops_root
except ImportError:
from keras import ops as api_ops_root
from keras.src import backend
from keras.src import ops
from keras.src import testing
from keras.src.ops.operation import Operation
from keras.src.tes... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/ops/ops_test.py",
"license": "Apache License 2.0",
"lines": 241,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
keras-team/keras:keras/src/callbacks/monitor_callback.py | import warnings
from keras.src import ops
from keras.src.callbacks.callback import Callback
from keras.src.trainers import compile_utils
class MonitorCallback(Callback):
"""Base class for callbacks that monitor a quantity and evaluates
improvements.
This class provides common functionality for callbacks... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/callbacks/monitor_callback.py",
"license": "Apache License 2.0",
"lines": 94,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
keras-team/keras:keras/src/callbacks/monitor_callback_test.py | import numpy as np
import pytest
from keras.src import callbacks
from keras.src import layers
from keras.src import metrics
from keras.src import models
from keras.src import ops
from keras.src import testing
class MonitorCallbackTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_monito... | {
"repo_id": "keras-team/keras",
"file_path": "keras/src/callbacks/monitor_callback_test.py",
"license": "Apache License 2.0",
"lines": 80,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
kovidgoyal/calibre:src/calibre/gui2/preferences/look_feel_tabs/font_selection_dialog.py | from qt.core import QDialog, QDialogButtonBox, QFontDatabase, QFontInfo, QHBoxLayout, QLabel, QListWidget, Qt, QVBoxLayout, QWidget, pyqtSignal
class FontSelectionDialog(QDialog):
fontSelected = pyqtSignal(str, str) # family, style
def __init__(self, family: str = '', style: str = '', min_size=8, medium_siz... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/preferences/look_feel_tabs/font_selection_dialog.py",
"license": "GNU General Public License v3.0",
"lines": 166,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template"... | function_complex |
kovidgoyal/calibre:src/calibre/utils/translator/test_translator.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2026, Kovid Goyal <kovid at kovidgoyal.net>
import gettext
import io
import unittest
import zipfile
from calibre.utils.localization import available_translations, get_lc_messages_path
from calibre_extensions.translator import Translator
class TestTranslator(unittest... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/utils/translator/test_translator.py",
"license": "GNU General Public License v3.0",
"lines": 51,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
kovidgoyal/calibre:.github/workflows/macos_crash_report.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2024, Kovid Goyal <kovid at kovidgoyal.net>
import json
import posixpath
import sys
from collections import namedtuple
from collections.abc import Mapping
from datetime import datetime
from enum import Enum
from functools import cached_property
from typing import IO
F... | {
"repo_id": "kovidgoyal/calibre",
"file_path": ".github/workflows/macos_crash_report.py",
"license": "GNU General Public License v3.0",
"lines": 389,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/db/tests/page_counts.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import io
from calibre.db.tests.base import BaseTest
class PageCountTest(BaseTest):
ae = BaseTest.assertEqual
def test_page_count_in_db(self):
test_page_count_in_db(self)
def test_page_count(self):
... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/db/tests/page_counts.py",
"license": "GNU General Public License v3.0",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
kovidgoyal/calibre:src/calibre/db/page_count.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import os
import sys
import weakref
from collections.abc import Iterator
from contextlib import suppress
from queue import Queue, ShutDown
from threading import Event, Thread, current_thread
from typing import TYPE_CHECKING
... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/db/page_count.py",
"license": "GNU General Public License v3.0",
"lines": 163,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/library/page_count.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import os
import subprocess
import sys
from concurrent.futures import Executor, ThreadPoolExecutor
from contextlib import closing, suppress
from math import ceil
from multiprocessing import Pipe
from operator import itemgette... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/library/page_count.py",
"license": "GNU General Public License v3.0",
"lines": 254,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/library/bookshelf_view.py | #!/usr/bin/env python
# License: GPLv3
# Copyright: Andy C <achuongdev@gmail.com>, un_pogaz <un.pogaz@gmail.com>, Kovid Goyal <kovid@kovidgoyal.net>
# Imports {{{
import bisect
import math
import random
import struct
import weakref
from collections.abc import Iterable, Iterator
from contextlib import suppress
from fun... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/library/bookshelf_view.py",
"license": "GNU General Public License v3.0",
"lines": 2309,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/momentum_scroll.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from collections import deque
from typing import NamedTuple
from qt.core import (
QAbstractScrollArea,
QElapsedTimer,
QGroupBox,
QHBoxLayout,
QLabel,
QListView,
QMainWindow,
QSlider,
QStri... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/momentum_scroll.py",
"license": "GNU General Public License v3.0",
"lines": 357,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/preferences/look_feel_tabs/bookshelf_view.py | #!/usr/bin/env python
__license__ = 'GPL v3'
__copyright__ = '2025, Kovid Goyal <kovid@kovidgoyal.net>'
__docformat__ = 'restructuredtext en'
import os
from contextlib import suppress
from functools import lru_cache, partial
from qt.core import QDialog, QDialogButtonBox, QFontInfo, QIcon, QInputDialog, QLabel, Qt... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/preferences/look_feel_tabs/bookshelf_view.py",
"license": "GNU General Public License v3.0",
"lines": 288,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/actions/llm_book.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from functools import partial
from calibre.gui2 import error_dialog
from calibre.gui2.actions import InterfaceAction
class LLMBookAction(InterfaceAction):
name = 'Discuss book with AI'
action_spec = (_('Discuss b... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/actions/llm_book.py",
"license": "GNU General Public License v3.0",
"lines": 42,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
kovidgoyal/calibre:src/calibre/ai/lm_studio/backend.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Ali Sheikhizadeh (Al00X) <al00x@outlook.com> <https://al00x.com>
# Based on code Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import json
import posixpath
from collections.abc import Iterable, Iterator
from functools import lru_cache
from typing import ... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/lm_studio/backend.py",
"license": "GNU General Public License v3.0",
"lines": 98,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/lm_studio/config.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Ali Sheikhizadeh (Al00X) <al00x@outlook.com> <https://al00x.com>
# Based on code Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from functools import partial
from typing import Any
from qt.core import QComboBox, QCompleter, QDoubleSpinBox, QFormLayout, Q... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/lm_studio/config.py",
"license": "GNU General Public License v3.0",
"lines": 133,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/dialogs/llm_book.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from collections.abc import Iterator
from functools import lru_cache
from typing import Any
from qt.core import QAbstractItemView, QDialog, QDialogButtonBox, QLabel, QListWidget, QListWidgetItem, QSize, Qt, QUrl, QVBoxLayout... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/dialogs/llm_book.py",
"license": "GNU General Public License v3.0",
"lines": 237,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/llm.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import textwrap
from collections.abc import Iterator
from html import escape
from itertools import count
from threading import Thread
from typing import Any, NamedTuple
from qt.core import (
QAbstractItemView,
QAppli... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/llm.py",
"license": "GNU General Public License v3.0",
"lines": 654,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:setup/git_hooks.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, un_pogaz <un.pogaz@gmail.com>
import os
from contextlib import suppress
from typing import NamedTuple
from setup import Command
HOOK_TEMPLATE = '''\
#!/usr/bin/env -S calibre-debug -e -- --
# File generated by calibre "setup.py git_hooks"
import os
import runp... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "setup/git_hooks.py",
"license": "GNU General Public License v3.0",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/ollama/backend.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import datetime
import http
import json
import posixpath
from collections.abc import Iterable, Iterator, Sequence
from contextlib import suppress
from functools import lru_cache
from typing import Any, NamedTuple
from urllib.... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/ollama/backend.py",
"license": "GNU General Public License v3.0",
"lines": 134,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/ollama/config.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from functools import partial
from qt.core import QFormLayout, QLabel, QLineEdit, QPlainTextEdit, QSpinBox, QWidget
from calibre.ai.ollama import OllamaAI
from calibre.ai.prefs import pref_for_provider, set_prefs_for_provid... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/ollama/config.py",
"license": "GNU General Public License v3.0",
"lines": 113,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/openai/backend.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import datetime
import json
import os
from collections.abc import Iterable, Iterator, Sequence
from functools import lru_cache
from operator import attrgetter
from typing import Any, NamedTuple
from urllib.request import Requ... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/openai/backend.py",
"license": "GNU General Public License v3.0",
"lines": 173,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/openai/config.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from functools import partial
from qt.core import QCheckBox, QFormLayout, QLabel, QLineEdit, QWidget
from calibre.ai.openai import OpenAI
from calibre.ai.prefs import decode_secret, encode_secret, pref_for_provider, set_pre... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/openai/config.py",
"license": "GNU General Public License v3.0",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
kovidgoyal/calibre:src/calibre/ai/github/backend.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import datetime
import json
import os
from collections.abc import Iterable, Iterator
from functools import lru_cache
from typing import Any, NamedTuple
from urllib.request import Request
from calibre.ai import AICapabilities... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/github/backend.py",
"license": "GNU General Public License v3.0",
"lines": 168,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/github/config.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from collections.abc import Sequence
from functools import partial
from qt.core import QFormLayout, QHBoxLayout, QLabel, QLineEdit, QWidget
from calibre.ai.github import GitHubAI
from calibre.ai.prefs import decode_secret, ... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/github/config.py",
"license": "GNU General Public License v3.0",
"lines": 92,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/google/backend.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
# Google studio account management: https://aistudio.google.com/usage
# Docs:
# Text generation: https://ai.google.dev/gemini-api/docs/text-generation#rest
# Image generation with gemini: https://ai.google.dev/gemini-api/doc... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/google/backend.py",
"license": "GNU General Public License v3.0",
"lines": 335,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/google/config.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from functools import partial
from qt.core import QCheckBox, QFormLayout, QLabel, QLineEdit, QWidget
from calibre.ai.google import GoogleAI
from calibre.ai.prefs import decode_secret, encode_secret, pref_for_provider, set_... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/google/config.py",
"license": "GNU General Public License v3.0",
"lines": 69,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
kovidgoyal/calibre:src/calibre/gui2/chat_widget.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from html import escape
from math import ceil
from typing import NamedTuple
from qt.core import (
QFont,
QFontInfo,
QFrame,
QHBoxLayout,
QIcon,
QPalette,
QSize,
QSizePolicy,
Qt,
QTextB... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/chat_widget.py",
"license": "GNU General Public License v3.0",
"lines": 203,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/utils.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import datetime
import http
import json
import os
import re
import tempfile
from collections.abc import Callable, Iterable, Iterator, Sequence
from contextlib import suppress
from enum import Enum, auto
from functools import ... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/utils.py",
"license": "GNU General Public License v3.0",
"lines": 304,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/prefs.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from collections.abc import Iterator
from copy import deepcopy
from functools import lru_cache
from typing import Any
from calibre.ai import AICapabilities
from calibre.customize import AIProviderPlugin
from calibre.customiz... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/prefs.py",
"license": "GNU General Public License v3.0",
"lines": 50,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
kovidgoyal/calibre:src/calibre/ai/config.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
from qt.core import QComboBox, QDialog, QGroupBox, QHBoxLayout, QLabel, QStackedLayout, QVBoxLayout, QWidget
from calibre.ai import AICapabilities
from calibre.ai.prefs import plugin_for_purpose, plugins_for_purpose, prefs
f... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/config.py",
"license": "GNU General Public License v3.0",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
kovidgoyal/calibre:src/calibre/ai/open_router/config.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import datetime
import textwrap
from functools import partial
from typing import TYPE_CHECKING, Any
from qt.core import (
QAbstractItemView,
QAbstractListModel,
QCheckBox,
QComboBox,
QDialog,
QDialogB... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/open_router/config.py",
"license": "GNU General Public License v3.0",
"lines": 414,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/ai/open_router/backend.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import datetime
import json
import os
import re
from collections.abc import Iterable, Iterator, Sequence
from functools import lru_cache
from typing import Any, NamedTuple
from urllib.request import Request
from calibre.ai i... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/ai/open_router/backend.py",
"license": "GNU General Public License v3.0",
"lines": 236,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/viewer/llm.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net> and Amir Tehrani
import string
from collections.abc import Iterator
from functools import lru_cache
from typing import Any
from qt.core import QDialog, QUrl, QVBoxLayout, QWidget, pyqtSignal
from calibre.ai import ChatMessa... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/viewer/llm.py",
"license": "GNU General Public License v3.0",
"lines": 211,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/gui2/actions/column_tooltips.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2022, Charles Haley
#
from qt.core import QDialogButtonBox, Qt, QVBoxLayout
from calibre.gui2 import error_dialog, safe_open_url
from calibre.gui2.actions import InterfaceAction
from calibre.gui2.dialogs.template_dialog import TemplateDialog
from calibre.gui2.widgets2... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/gui2/actions/column_tooltips.py",
"license": "GNU General Public License v3.0",
"lines": 101,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/calibre:src/calibre/utils/tts/piper.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import atexit
import json
import os
import sys
from collections.abc import Callable
from functools import partial
from queue import Queue
from threading import Lock, Thread
from typing import Any, NamedTuple
from calibre.con... | {
"repo_id": "kovidgoyal/calibre",
"file_path": "src/calibre/utils/tts/piper.py",
"license": "GNU General Public License v3.0",
"lines": 197,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/kitty:kittens/command_palette/main.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2024, Kovid Goyal <kovid at kovidgoyal.net>
import sys
from functools import partial
from typing import Any
from kitty.fast_data_types import add_timer, get_boss
from kitty.typing_compat import BossType
from ..tui.handler import result_handler
def collect_keys_dat... | {
"repo_id": "kovidgoyal/kitty",
"file_path": "kittens/command_palette/main.py",
"license": "GNU General Public License v3.0",
"lines": 163,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/kitty:kitty_tests/command_palette.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2024, Kovid Goyal <kovid at kovidgoyal.net>
from . import BaseTest
class TestCommandPalette(BaseTest):
def test_collect_keys_data(self):
from kittens.command_palette.main import collect_keys_data
from kitty.actions import groups
opts = se... | {
"repo_id": "kovidgoyal/kitty",
"file_path": "kitty_tests/command_palette.py",
"license": "GNU General Public License v3.0",
"lines": 130,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
kovidgoyal/kitty:kittens/choose_files/main.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import sys
from typing import Any
from kitty.conf.types import Definition
from kitty.constants import appname
from kitty.simple_cli_definitions import CONFIG_HELP, CompletionSpec
from kitty.typing_compat import BossType
fro... | {
"repo_id": "kovidgoyal/kitty",
"file_path": "kittens/choose_files/main.py",
"license": "GNU General Public License v3.0",
"lines": 236,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
kovidgoyal/kitty:kittens/desktop_ui/main.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import sys
from kitty.conf.types import Definition
definition = Definition(
'!kittens.choose_files',
)
agr = definition.add_group
egr = definition.end_group
opt = definition.add_option
map = definition.add_map
mma = d... | {
"repo_id": "kovidgoyal/kitty",
"file_path": "kittens/desktop_ui/main.py",
"license": "GNU General Public License v3.0",
"lines": 38,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
kovidgoyal/kitty:kitty_tests/panels.py | #!/usr/bin/env python
# License: GPLv3 Copyright: 2025, Kovid Goyal <kovid at kovidgoyal.net>
import shlex
import subprocess
def r(msg: str, cmdline: str) -> None:
try:
q = input('Test ' + msg + '? (y/n): ').lower()
if q in ('y', 'yes'):
try:
subprocess.run(['kitten'] ... | {
"repo_id": "kovidgoyal/kitty",
"file_path": "kitty_tests/panels.py",
"license": "GNU General Public License v3.0",
"lines": 23,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
labmlai/annotated_deep_learning_paper_implementations:labml_nn/transformers/flash/test.py | """
### Test Flash Attention Implementation
This is the code to test and measure performance of our flash attention implementation
"""
import torch
import triton
from labml import logger, monit
from labml_nn.transformers.flash import attention
HI_PRES_TORCH = torch.float32
@torch.no_grad()
def _calc_abs_rel_error... | {
"repo_id": "labmlai/annotated_deep_learning_paper_implementations",
"file_path": "labml_nn/transformers/flash/test.py",
"license": "MIT License",
"lines": 148,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
labmlai/annotated_deep_learning_paper_implementations:labml_nn/helpers/datasets.py | import random
from pathlib import PurePath, Path
from typing import List, Callable, Dict, Optional
from torchvision import datasets, transforms
import torch
from labml import lab
from labml import monit
from labml.configs import BaseConfigs
from labml.configs import aggregate, option
from labml.utils.download import ... | {
"repo_id": "labmlai/annotated_deep_learning_paper_implementations",
"file_path": "labml_nn/helpers/datasets.py",
"license": "MIT License",
"lines": 242,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
labmlai/annotated_deep_learning_paper_implementations:labml_nn/helpers/device.py | import torch
from labml.configs import BaseConfigs, hyperparams, option
class DeviceInfo:
def __init__(self, *,
use_cuda: bool,
cuda_device: int):
self.use_cuda = use_cuda
self.cuda_device = cuda_device
self.cuda_count = torch.cuda.device_count()
... | {
"repo_id": "labmlai/annotated_deep_learning_paper_implementations",
"file_path": "labml_nn/helpers/device.py",
"license": "MIT License",
"lines": 51,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
labmlai/annotated_deep_learning_paper_implementations:labml_nn/helpers/metrics.py | import dataclasses
from abc import ABC
import torch
from labml import tracker
class StateModule:
def __init__(self):
pass
# def __call__(self):
# raise NotImplementedError
def create_state(self) -> any:
raise NotImplementedError
def set_state(self, data: any):
raise... | {
"repo_id": "labmlai/annotated_deep_learning_paper_implementations",
"file_path": "labml_nn/helpers/metrics.py",
"license": "MIT License",
"lines": 60,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
labmlai/annotated_deep_learning_paper_implementations:labml_nn/helpers/optimizer.py | from typing import Tuple
import torch
from labml import tracker
from labml.configs import BaseConfigs, option, meta_config
class OptimizerConfigs(BaseConfigs):
r"""
This creates a configurable optimizer.
Arguments:
learning_rate (float): Learning rate of the optimizer. Defaults to ``0.01``.
... | {
"repo_id": "labmlai/annotated_deep_learning_paper_implementations",
"file_path": "labml_nn/helpers/optimizer.py",
"license": "MIT License",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
labmlai/annotated_deep_learning_paper_implementations:labml_nn/helpers/schedule.py | from typing import Tuple, List
class Schedule:
def __call__(self, x):
raise NotImplementedError()
class Flat(Schedule):
def __init__(self, value):
self.__value = value
def __call__(self, x):
return self.__value
def __str__(self):
return f"Schedule({self.__value})"
... | {
"repo_id": "labmlai/annotated_deep_learning_paper_implementations",
"file_path": "labml_nn/helpers/schedule.py",
"license": "MIT License",
"lines": 60,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
labmlai/annotated_deep_learning_paper_implementations:labml_nn/helpers/trainer.py | import signal
import typing
from typing import Dict, List, Callable
from typing import Optional, Tuple, Any, Collection
import torch.optim
import torch.optim
import torch.utils.data
import torch.utils.data
from labml import tracker, logger, monit
from labml.configs import BaseConfigs, meta_config, option
from labml.in... | {
"repo_id": "labmlai/annotated_deep_learning_paper_implementations",
"file_path": "labml_nn/helpers/trainer.py",
"license": "MIT License",
"lines": 402,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain:libs/core/tests/unit_tests/callbacks/test_handle_event.py | """Tests for handle_event and _ahandle_event_for_handler fallback behavior.
Covers the NotImplementedError fallback from on_chat_model_start to on_llm_start.
Handlers must declare `serialized` and `messages` as explicit positional args
(not *args) — see on_chat_model_start docstring for details.
See: https://github.c... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/core/tests/unit_tests/callbacks/test_handle_event.py",
"license": "MIT License",
"lines": 98,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/anthropic/scripts/check_version.py | """Check version consistency between `pyproject.toml` and `_version.py`.
This script validates that the version defined in pyproject.toml matches the
`__version__` variable in `langchain_anthropic/_version.py`. Intended for use as a
pre-commit hook to prevent version mismatches.
"""
import re
import sys
from pathlib ... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/anthropic/scripts/check_version.py",
"license": "MIT License",
"lines": 47,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langchain:libs/partners/openrouter/langchain_openrouter/chat_models.py | """OpenRouter chat models."""
from __future__ import annotations
import json
import warnings
from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
from operator import itemgetter
from typing import Any, Literal, cast
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openrouter/langchain_openrouter/chat_models.py",
"license": "MIT License",
"lines": 1174,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain:libs/partners/openrouter/scripts/check_imports.py | """Script to check imports of given Python files."""
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Excepti... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openrouter/scripts/check_imports.py",
"license": "MIT License",
"lines": 16,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langchain:libs/partners/openrouter/tests/integration_tests/test_chat_models.py | """Integration tests for `ChatOpenRouter` chat model."""
from __future__ import annotations
import pytest
from langchain_core.messages import AIMessageChunk, BaseMessageChunk
from pydantic import BaseModel, Field
from langchain_openrouter.chat_models import ChatOpenRouter
def test_basic_invoke() -> None:
"""Te... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openrouter/tests/integration_tests/test_chat_models.py",
"license": "MIT License",
"lines": 50,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/openrouter/tests/integration_tests/test_compile.py | """Test compilation of integration tests."""
import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
| {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openrouter/tests/integration_tests/test_compile.py",
"license": "MIT License",
"lines": 5,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/openrouter/tests/integration_tests/test_standard.py | """Standard integration tests for `ChatOpenRouter`."""
from langchain_core.messages import AIMessage, AIMessageChunk
from langchain_tests.integration_tests import ChatModelIntegrationTests
from langchain_openrouter.chat_models import ChatOpenRouter
MODEL_NAME = "openai/gpt-4o-mini"
class TestChatOpenRouter(ChatMod... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openrouter/tests/integration_tests/test_standard.py",
"license": "MIT License",
"lines": 92,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
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