sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
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dd21d2b836b5623b1dffb55dbfbd4f14af6b3cc9161e1a7d54f4bccca0c8ee23 | Python | 25,314 | 683 | # mapping = {
# "default": {
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ded5b5aa8e93306f015b01d96d7ecd7c0918f806f8cd60e8785f9e9e918ef1a5 | Python | 25,314 | 683 | # mapping = {
# "default": {
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df7ace1e712a47e2f7f46af7eaaf9f17302d4d895f7a1b29f8a5d15896f981dc | Python | 25,314 | 683 | # mapping = {
# "default": {
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# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
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e0aef7bc58c1650ec690cf33045b4520d05db5fa78305fbcd0793f38ddd02e70 | Python | 25,314 | 683 | # mapping = {
# "default": {
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# "temporal_ordering": (('FX', 56), ('FY', 56), ('OX', 3), ('OY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
e11daa69561adc459a80cb476f340d61d27ba8e7c33ffb16a7ee612ec46bdcd7 | Python | 25,314 | 683 | # mapping = {
# "default": {
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# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
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#... |
e3dea4dd75d290fe38ef61535a088b990460c2e6260279207da8f49d521fbebf | Python | 25,314 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("C", 16), "D2": ("K", 16), },
# "temporal_ordering": (('FX', 56), ('FY', 56), ('OX', 3), ('OY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
e4473203ed2ad44334f89dd74c39842a7bf43c433dff55bc22affdcd737cb8da | Python | 25,314 | 683 | # mapping = {
# "default": {
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# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
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#... |
e54a781f74712023b2463b885057e21769c7d6b5f7d7cc93b6c51156082d6bf4 | Python | 25,314 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
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# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
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#... |
e7aff15d31b901c641ecdfe12f4c98c0852cd6aed14fb9a488b762758096487c | Python | 25,314 | 683 | # mapping = {
# "default": {
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# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
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#... |
e8f229dc087fa3a1cb77a57be778f6e6fbae97605b0010e9155c357491af962f | Python | 25,314 | 683 | # mapping = {
# "default": {
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# "spatial_mapping": {"D1": ("C", 16), "D2": ("K", 16), },
# "temporal_ordering": (('FX', 56), ('FY', 56), ('OX', 3), ('OY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
ea9460fd68d004b63c2b4150ca0d1d353a882b519abfd4e30d004361d5b5d610 | Python | 25,314 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("C", 16), },
# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
f374cf607555f0bf87c200f913aa53d4e4e6ca692595b7a87df96c907087e780 | Python | 25,314 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("C", 16), },
# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
f71fee551f94d87b1621ed049051e4390cfa4d3efb7da0de16270872882cfd54 | Python | 25,314 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("C", 16), },
# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
f72f1031b96d224fba8e1fbdab48e449d8047118c9047cdce77f60dea0f7e7c2 | Python | 25,314 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("C", 16), "D2": ("K", 16), },
# "temporal_ordering": (('FX', 56), ('FY', 56), ('OX', 3), ('OY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
ffe03a34d444b0014675d25718728df997e3fd8599ad7970164c9c69298e9aac | Python | 25,314 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("C", 16), },
# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('K', 3), ('C', 4), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
#... |
0051983d6950a3fee3a9b0d6d60ef40b4511dbeca687716c341c9b87352bf8ff | Python | 25,315 | 688 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import io
import json
from http import HTTPStatus
from urllib.parse import parse_qsl, urlparse
import pytest
from cvat_sdk.api_client import ApiClient, models
from cvat_sdk.api_client.api_client import Endpoint
from cvat_sdk.core.helpers import get_... |
74ed07c5f5941e94e810bc272887222d4677739080617fb1075733a5938eae36 | Python | 25,327 | 645 | """
Copyright 1999 Illinois Institute of Technology
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publis... |
36de1e34f0c4e7c4b021e5db572fb1faa815b14326d593cc29e06c8076ba06b9 | Python | 25,367 | 637 | # fmt: off
# flake8: noqa
"""COCO Dataset."""
import copy
import itertools
import json
import os
from collections import defaultdict
import numpy as np
from scipy.optimize import linear_sum_assignment
from .. import _timing, utils
from ..config import get_default_dataset_config, init_config
from ..utils import Track... |
56f295a6d8de76a7b1892d7aef9d3048e33c8fb2b5dbae4052df73e40ae6c5ae | Python | 25,404 | 585 | # /------------------------------------------------------------------------------+
# | 23-MAR-2023 |
# | Copyright (c) Bone Imaging Laboratory |
# | All rights reserved ... |
2f674710d538c543cd3805e8aed7c28613786a35f283b6cfe068e03fd8906d01 | Python | 25,406 | 714 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import abc
from collections.abc import Sequence, Set
from enum import IntEnum
from typing import Literal, Protocol, TypeAlias, TypeVar
import attrs
import PIL.Image
import cvat_sdk.models as models
from ..attributes import attribute_value_validato... |
84b66689d9dc4fab19ac4b511f473f7b3662feef34e5fe1555e08bfa84ecc9d0 | Python | 25,410 | 671 | import os, json, sys, shutil
sys.path.insert( 0, os.path.join( os.sep, 'usr', 'share', 'gkg', 'python' ) )
from CopyFileDirectoryRm import *
def runTopUpEddyCurrentsAndMotionsCorrections( Dir,
subject,
BrainTemplate,
... |
a0722490ed0a9627164a456a242014d25c71c5ecac24bcbc03b172df89c3c83e | Python | 25,449 | 550 | #############################################################################
# Copyright (C) 2020-2026 MEmilio
#
# Authors: Martin J. Kuehn
#
# Contact: Martin J. Kuehn <Martin.Kuehn@DLR.de>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Li... |
2c801c77e0e65bdc34cc44d9d2d0cdf03b0483fb7351a34af18f1fbfd499b881 | Python | 25,453 | 664 | # Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
# Modified from
# https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/vision_transformer.py
# Copyright 2020 Ross Wightman, Apache-2.0 License
from timm.models.layers import activations
import torch
import itertools
im... |
95b276cb4f544cb9db8e48e675e06879499d4b8d4e30352dcd40e7a42279f9ab | Python | 25,466 | 615 | import sys
import os
import pandas as pd
import pyreadr
import torch
import glob
import functools
import random
import torch_geometric.transforms as T
import torch.nn.functional as F
import yaml
import gc
from math import ceil
from torch_geometric.data import InMemoryDataset, Data
from torch_geometric.loader import Den... |
a1cb27189bd39d1841ff08a27fa2ba358748a331e3ea14b1ede090a54c51d95b | Python | 25,472 | 721 | """Functions to calculate and save network power maps."""
import os
import logging
from pathlib import Path
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
import nibabel as nib
from tqdm.auto import trange
from pqdm.threads import pqdm
import matplotlib.pyplot as plt
from osl_dynamics impor... |
a3753d276616ee514a88c7b366d33b9f1f35a87188315e77d366de5fa5c145b0 | Python | 25,479 | 611 | import sys
import os
import pandas as pd
import pyreadr
import torch
import glob
import functools
import random
import torch_geometric.transforms as T
import torch.nn.functional as F
import yaml
import gc
from math import ceil
from torch_geometric.data import InMemoryDataset, Data
from torch_geometric.loader import Den... |
a40dcbb5172df5dbb4f879ad4fafb7af8a366cf155971fb2582c2b9f2bb4e88b | Python | 25,479 | 697 | # Source: https://github.com/neuraloperator/neuraloperator/blob/main/neuralop/layers/spectral_convolution.py
from typing import List, Optional, Tuple, Union
from ..utils import validate_scaling_factor
import torch
from torch import nn
import tensorly as tl
from tensorly.plugins import use_opt_einsum
from tltorch.fa... |
f189bb799e164a5e91808e2db8d1928e8065fed4fdca41b36fa0cf6724e1e1be | Python | 25,482 | 726 | """Dynamic Network Modes (DyNeMo).
See the :doc:`documentation </models/dynemo>` for a description of this model.
"""
import os
import logging
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import tensorflow as tf
from tqdm.auto import trange
import osl_dynamics... |
4c9eb933abb80c04905ac5c376576d5178a8829deeaab01b3f3018d6c95b0245 | Python | 25,484 | 548 | #!python
import shutil
import os
import importlib
from pathlib import Path
import traceback
import time
import yaml
import uuid
import sys
import re
from functools import wraps
import subprocess
from dtiplayground.config import INFO as info
import dtiplayground
import dtiplayground.dmri.common as common
import dtipl... |
6bfcc7f9c39c07849b75a8f765438f246cacb1874d390d7ba9949e910030d4b7 | Python | 25,484 | 624 | import os
import sys
import shutil
import re
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
def read_ml_inputs(ml_file):
if not os.path.exists(ml_file):
print(f"Error: {ml_file} not found. Exiting.")
sys.exit(1)
lines = []
with open(ml_file, 'r') as f:
... |
00395829da74e79f0e23c4d60bab60e141cf1773a7d705f9f67f66db2ea748d8 | Python | 25,499 | 683 | mapping = {
"default": {
"core_allocation": 1,
"spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
"memory_operand_links": {"O": "O", "W": "I2", "I": "I1"},
},
}
... |
00beb62ba536a53fa02a4145afeddda000da9f156560a331cf16e43cdf030f36 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
06d80baa3f303ab581ba27ee69778dc1863f5c183bb5371afb6b151187efa65c | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
08d1c15bdef13d2c06df5fdfe598861e1f018f83e1340ea60f95df242e24509e | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
0ad55d6ebc47733a9d2e23b383673c652513122ab8646db7865146d42ebec76e | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
1178b7754a50b06973af0d33f8cdd6987093ef0e6f9b8913de62dbc07e88a695 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
1187cce8d3c28f97fdb3a467e67026015e1ad0b863c222342ac76ace7dbf5b38 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
1196f8722a0468deb26ade9aa72497ff47b055abee70cbce181f35b9668a839a | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
1324de5f0df6713d8c8998d1e3d9525a5f3200f35f27212e5cbd1983a763a615 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
199034e86ae5caf55c9b58a87916b29515744e9fd429f4d896adb9b2a01ce9b6 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
1a51325ad3febefd5059b5be9da9a0fe2c7632a0220578a9260e1849d20bc8cc | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
1f5d5f86ced5aa79ebe24bdd81e9615e741b4d99ee728c86a3ab33066ee4421c | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
23a787379f3c49b7619496b60a5b4c29629c2b02b04c39859576da22a8559d63 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
2904fe900e869e64a6f303de7b013173ad0fb8194e27a2f4b688dd08e4f65333 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
2952050ad1805c6f7609797e154eb10b3cf350bc830f7a3cbde6cdd7eb70ae5e | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
29ab58e3b6e621b0b5b9bb4deded7139d420f5251147241b8010db51aa4bbda5 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
2eee2afaad162ec506484e2b0c1480c4add56150f64ae043e8e2413906e09fcc | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
2f93551432c729eba828afbe97d02f636679dab7e28661d48a13992d99171fc0 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
3220d74fd99054ca9f4fcf9b523e287f58b761582ecdad28fdddf6e6467b1f59 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
35c5a6aacdbd1c2134aaf975563a8e13e95fa148e1c920a5c86ffa1c27ae0796 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
3e18b259c325b58121e2016b91629f517d8edc69458a13b6e941eb3c2fa0643c | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
3f442e4dbc7ee7807f27143d9c00130cb67c1b690ca7b8d05131c8df93afa24e | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
42909b2db5dba32250f60b6863f515a1da02292650a52605686943b1e4e5c4cf | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
44fdd52166cf55a8f5ee4ccd7df63584dd3b9653531ff7f2774412123106b985 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
45e786cc84fa190a4b02f3ca0716fbb774a2b2a4e8afdc78d3f4a243bcbbdf13 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
483637f7a7639a69bf0a390735d70dbb306267c10100df8ef6bde22751cc0498 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
4f6a6bd9081375926a867f36c0107b00901576c7cc1a4a2a2314bd9192aec703 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
5443c8d29553464a304408ccf279c51651f6c57aef1d7aa76172291f2b03ffad | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
551d95f26d7542cf435a8457472405d13bdc09d470d6b10c5cc05901824697eb | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
56543cc478a050b0ee7a290158a660a497977fbbc94fd1904c3a23074e2ccab4 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
596d6add75c168de127fddf87be511a8274f7e386b8ae63d1ff8d181aaa52621 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
5a77c8ba831f1ce6b2c2ddda3d40a0323559b7538d8713222a6da0bf60db66d8 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
5b235a6056711c9f97fb3fa011b6e528454deca0208ee229e045d24129bfb36d | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
5d9b1c539146dac8ca0c675f255b564cbc1c76778d52bdc3b59fcb142fd069b7 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
6417b331527f382718fc8aea1f65c88cc9b8758786d13a088caa1528cf5d9986 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
704c12d1f80952b2865f1c7bc5e33c759cbc1a18e7f5556bde1a68b50d9e88a1 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
70cc7a2a61329659aa12587125c70b28946c939106631f16b94d02381c3ffa38 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
7385f743e85860ba80dc800c8a3175eadeb1de1ddb6d08e68311853c06c80ea0 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
745e87e334f3614e098689717755ad36f90a1b3e1b85276d7760ff4b9f457be5 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
77b4ac98bb14928622b514cf33780bcd1bc87f7cd4f4e75eeac357e874e66fbb | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
77bb1dbd0a18b189f0fde2152db9d3209f2502028ea17106d11773d35cd4dc38 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
7bd2782c426faeb63259beb9979f6517141cfcb2eda2e24c4be3e67b6931dc11 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
7e2d32e655f1eecb5bbb7f7eb4f3359dda35a3fcb6c89478c83c750dc87d6d32 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
8666a947265caeb38cf23114c987b70f1b76b1254be1847ce64e6aa8d4d5a916 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
87cec38d2c0685c0d4cdb003fbf496ee7df2fb2e2c7fc38b85ff1cb667df3a9b | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
8c5a8fce2bc5e301f33983e0b91ad2f2026e52d1e79ec764606ec9fd6d729b6f | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
8d5507ba0bb84edbf6a38e4c3841878b806c349bd05b728e0cb68303e39889e3 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
90006baee169c8600d211831ef65b02675021a6613420be584b6604cc6548145 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
94a5bac764edbed1e1223ced3eefb456b46ec2de6a1c3eaa3570646a82de620b | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
9c292b75cb372d119c39809882400a8a95cfebc620a342010caf99ccf1d983e2 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
9dcc230ddd9d087bfafe921c69021761074a3dd5eead2273d2704f8a8ed55d5c | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
9f9916754d90abd1eccebf11eb4b022d4998bca907b29baec5de8bc4efe95ecc | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
a4a4163073676626aa6313d58929c19e2e217abb92027cf1779a0ef4c3655b34 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
a591570a365adcde22aa13b2df2a69d0a10968e3ebdc0b20dc355d7149ca23b1 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
a82c35dea70a504a1eeb2c522092dba689a60a1ea7b6cc9847988e94cabbaa5a | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
a9ace4807a310fe694e12575a0d59547cbf4a7958c44267c0ddbe44dcb497bd5 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
add9b0d38ad925598df494a4654c50a7be60885b367c154855059e382fb00169 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
b23cd0cf77538f12b49832741be4ddc954599759525ededd8f3c83ba319eb206 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
b4613cb41e1d031bec9d9f439dcd2c9130304c9653db31e1fd94944042334fda | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
c05e529042c85c45d54d51e1607757ac7d93aaae66d9a64e35568e7132081521 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
c0cecb08e6574ee560eb06d316300ef97779acb9e0749801465609d650948b72 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
c1998fea6cc0468fc353b5729f8d06988f2ee27c1b3f5e9e27b8f8149051e79a | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
c2af690aa2725770cb5ce2b64c9c08b0014ffe70a2595630a32d4d40de1489d8 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
c6638a4b6c29cfebfc03eb11a0844be6f69c4cae95de3411515584a918eb06f7 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
d79425cd0e6d0924677b1ba5777ac7b589010d38580927049bb424550247c137 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
d9922cd4461070efe639e36902769dba9bd0562977804e0ac146873d0d25d65b | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
da0092e359c340b1ea34d99f493f92a1fd3d10e268897f6913758c196e188b1d | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
e79908e347fa78eddce1de6fe82a5bfaa3c72a1b3b949cd2e158495d11b36b5d | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
ea49989238fc86035bf39857c75cb1dc72088cd194bb3c2d3d0659a35c22e1c4 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
ea64bfc6a2dfdb7acffee2f25fee563d03df1ef2076296db2ae5d8d48d896d36 | Python | 25,499 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("OY", 14), "D2": ("K", 16), },
# # "temporal_ordering": (('OX', 56), ('OY', 56), ('FX', 3), ('FY', 3), ('C', 4), ('K', 3), ('T', 1), ('B', 1)),
# "memory_operand_links": {"O": "O", "W": "I2", "I": "I1"}... |
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