sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
eeee8b17d0489a33d36eb7890e62351810ca1f6cffb001c1c8d234ed0b609de5 | Python | 25,499 | 647 | import cartopy
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import matplotlib.colorbar as colorbar
import networkx as nx
import numpy as np
import pandas as pd
import xarray as xr
from cartopy.feature import BORDERS
from dantro.plot.utils import ColorManager
from pyproj import Transformer
from data impo... |
f1708dedaac0f70c727297cb5e3b0dd128b39d0be308565f322a3d1ea95f11f6 | 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"}... |
f36d04d37738e41399b3c03d05d6edae68aa7d1cae6b62e591186f8c4be81ad3 | 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"}... |
f4fbf8b051ad96963503e57e4f2ab05f550716225d950114abeb3bbfc6e51a92 | 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"}... |
fde1e7ad9a36fe809f0171561f30477f816c9e2141b9b0392851434933554355 | 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"}... |
fec8e8d139a0b3b7bb7839ab33c73db539ee747229f4feb985ad8f1cc1085f51 | 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"}... |
feeaee3d3612b143f3289d4119c82e8ec4eaaa464b3bac6004de7ffb77882632 | 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"}... |
1c6235eaea4af3afd1dabb8d702283f4115cced0103f37a225b07e1ba393be50 | Python | 25,505 | 519 | import torch
import pandas as pd
import os
import sys
import lightning.pytorch as pl
from scipy.stats import pearsonr
from datasets import GTExDataset,GTExRefDataset
from torch.utils.data import DataLoader
from scipy.ndimage import gaussian_filter
import numpy as np
from eval_enformer_gtex import get_enformer_output_di... |
b98774a0fae9e5737473665cd797fed34ae185531f2e744ca8d72a72620b34a4 | Python | 25,519 | 704 | import typing
import warnings
from typing import Any, List, Optional, Tuple, Union
import torch
from torch import Tensor
import torch_geometric.typing
from torch_geometric.index import index2ptr, ptr2index
from torch_geometric.typing import SparseTensor
from torch_geometric.utils import coalesce, cumsum
def dense_t... |
06f1101b68c8a2e3cd6d423b2ebca74db073de80cb16399c1831f54f356c83a9 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
0808985c61703db19dfbad61503a5c3d0c36260c132a6a66e503da2aea44eb25 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
08c669ec572931ec2d3c69f67924460e5df04ee792d442fc9b76d3285bf44804 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
0aa4ba63797a253901f9990a21430ebd1919982edfb0653eab7136ef485a5bc2 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
0d80d2262e8b0020d80463587635d245e7c23f97ab64566409d2ded52d3f1609 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
13911058eabce92631493b559859eb82280890917928591b3317054b92975d89 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
14399d11408a5f9d5f195b534867132af53b6558971e753974d27ff789b39c1c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
17bbc1426d2415c0e289a108a281c542bb2d2bb5783f6cd16339eab7863cf68f | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
184efce22dae375e0748abd44a370c0f55a51be7d3a810ecf470b00a09bcee93 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
1df879d8a8140e1da4d76afaa150cf3d556e8436c678c92b1283a2e3b5856ef2 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
1e4de82c06f09736a0d6c7f1a6e4f1f22501689cf54f927d2060f13daa0e1033 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
209cb3cba551fdc9cbe15f72637c29bf7eef60cddbf588ec52adc58b5b2c1579 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
20b56d2407e39106fcebbcdda4040310aa0215dda445d048057e145e75cb5c58 | Python | 25,524 | 683 | mapping = {
"default": {
"core_allocation": 1,
"spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# "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"},
},
}
... |
22c6f5fdd897c5ddeca2dea4ab1f0121d625743659609c92e2ab4fc977790d32 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
23a97fff57a289a37e13b928c4848a45b2a65dab750a996c2ebf6ea8cbe43824 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
254947c5c6069d0a5885f1e0e56088ccc5134d7bd34acc7d7ae87aa7dfb714c8 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
257d8284a5730f3932cabb6419c167e3111a1a7cd540adc73b1a59c04d58998f | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
2817fa788be37bccd405366265fc83e4e6e26368b3be250bc2081e9e8db10667 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
2999b6162469b56692056037cb9dd45402db4c02d08d18a5fddf3e030cd212ae | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
2badfdaa59ba54a199c8e2a88ef109c2194a1d066ea7de0c3af9afd88cbdd206 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
343501a2d950919a3b729ff5a30a582556ffd88643380e7031f8b734a141d85c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
3600d69a01b0975fd046a3c79adc41c0acddce28956ee319c7f7c95fd1e0b1e4 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
397bc06eb2815ee1d4f3d61ecdb1cb5be41128c609a24c489a8e7ef451487bb8 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
39ff28dd049d147121c179e8b478bd2e84eae7fb37752fb905ba5048bbeb6b5e | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
3b05866515bc380adcdfb05dd479090defde4897b99e6756a248909cd606bd55 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
3fc0fd26e2b884637d38642e1a390d0f96df3506326aeceb23d4e6af8a84ae96 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
4127fe8d3361907c69e79d66af67c55ad6a7415802a683d9e49afbc594e6fdc9 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
446c28a04645ff535c7433dbf81193169d97b247b5adfb4e0d374ab4318258e0 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
446dc7f91db9b5c06c1e6443ecb7abf1ef47f3e830e3d51ce8ba206ec8cc8ea9 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
45ab2f6973198d2b7ab956f389302741858d4e3998fb4c568500ecfef18a3e15 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
4a781f4fd2676d2198c3f6a00bcaf25d4d2daa7f058ac4123bcfb38bf8d6ee4e | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
4c0fc087bac2282929b7b91013ff2a449b5bfdb80422b46938df0f91f7f9a808 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
4f18e8e83d2e7c37aed812c9f5749be7fb60cb8cbb1676f012e6ff97d3bff612 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
55ee2a4f5342f7a0294c95e49ec37896a63fd1a659ffad2a5413a7688e5e25ac | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
5baf880067771c7725c8d1003dc6bb2b612a2b38a0d1c2d35b035d4cc37f5baa | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
6123535b31946f7c89d30e23372a16bc707ea76216fc549d28bab0177bf48a50 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
6dfcbac55c7718a34dbfdc17b9a6bcb5346181b826a3dda85d0d11dde0290d65 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
70d7e8a9fcc5be1a1678b7e37919048252e652fed51e4fb4e7745b4d1d30a86c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
719b50b72217310bfcf1e3ef335f3c79a2fdfa4ca25d1f7b2b57c37907000292 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
74e72aed351137ca1d82f66e1dd2b56d688e857ec524befcb823f5b2c75226cf | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
74ec7b3c93da76b50ab1caf9316dbe5a721bfbdcc3a1d4b14a9ade48d473bead | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
77e1c7f959c865f2dacc0a58485478e53e805ae5519077fd786503d26eab2c99 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
7f6726b0f634bd7f99333c558fac26e4a872087a010ce65c6b8bd0d641909669 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
85828a18cc6b788497b91546dee89347e80383b0e5a11b7ff944abd2a0ab338c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
877d925636e6917399845e8f8ac89828ba450b1229c883923c0f84177277a06c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
8bf2ebdae622a1340c10b8ea6cea4f71fa034e8eb9d743eec27cc6804e963bad | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
8c27e80d2874b926ea2bed9bdfd9dff79e6b7efa79e51dbc26663eaf347362d4 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
8c27fa3aa4aa9d8f50f843e58e0e916313c462df8c1b40150ed8d941f8b8a8b8 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
91ccc87204b1d9951e60b4c17982617055006789ad3e283d9f093fd587c48ea8 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
94504f9778cc6b7e8e2d6a0bbd744c336d8927a9d918bbd2e1a8610e621d66ba | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
a27b9f05d4d767c48543144a6dbd2e1038ea8b45d199c8b3c5396b46e3e6a8f7 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
a34cdfa3bc409374064368b7f30737facf64246c1139cea1db74eedd8501983c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
a57bde7412688befb5ab4ba9e9a0f5e34cc9a10994cbc0347c7dbb9f3dc2121e | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
a944d4222a8b429d5dff3a8703143f2ca9444bb7ac9dd4d852732655c33d5290 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
aae6f2f631524bb8024b5912d3dade19364b3f0d810b6bb4523c1826c7c97153 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
afc86ef37f04a91c922681f2a4bd98e5d23c8c229c4d122c01e34570cfc06d93 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
b0031ce7f4fdbbadba308fe6be97aeee42165423a55de6e674c33d9308cfcb19 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
bd3ccf2fd47e2de132df96e4058738bad308aaf0901e51709d96f6b5ecab3055 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
c25b4b9ac51598905f920e325825cbb4dcb99ac56618ea5a7dcada2d5ec09d87 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
c56365faf2cd105993eb1a97315a9f737ecbd20cfe3892696ca99721fecc7bda | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
c56d10ca9b9e9d1ee7d2cf38f40d64e83640ddd0c70bb5f9f1b78da257c6921c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
ca755932964647d4727d23e6a2014390628a85279e894299a4e4d61f8bef1076 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
ce2342f28a1e3cb668336e9add2e301aa75e979682fb2340c430b5f686759967 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
d4bf1488f60b8dba51fb182834f7b2c0633b32d83cb47c3e383e9f934b032008 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
d899a772158ccf9f05606f6e755173b12a72bd7d7405843eba3e834715e75172 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
db50cc8e973a5ea48c4c9d47ef79713f5a2c765eb6dfa583eaa748aa2faee67c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
ddc081ac66058735fa10ab048f70638569c63251d12d1f204a357fedfee90241 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
e28d74601465862c276456f6d2c9364d011f809a647b797af8342ad93820277f | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
e2dd6e027813ec9d4de91cb7362a5e151fb06f386d02f1cb93dcc5ec4934fdd6 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
e7c8c2e2d196f9b4fefb38ef429a783255067476e43c9433de83f77d7fbf7c75 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
eaa0b4dfc555342aec010b05512a70039fcef4b41fa0792a9c8ffd7117764684 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
eb0dd2d27752370872317448858ab3b60be95154817be7e58bc73588e934eb3c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
ed9eee8fc6617f4fac982d9cbad2755138d95774b2997cf1b3b94cd6c9a97e7e | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
f0769614114710ef9d97f94928b06c2a5560808dbb5d51ffbbf9e415ffb16fe9 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
f7d25bd94354cb13007643c844db76e9b6fdfd0a4db3f5a5558e6237a252c62c | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
fb35e73bf29de6c261cacec21b969621d98bddc81b903bf66a4c20f42a4999d0 | Python | 25,524 | 683 | # mapping = {
# "default": {
# "core_allocation": 1,
# "spatial_mapping": {"D1": ("K", 16), "D2": ("OY", 14), },
# # "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"}... |
9001a10940475dedd9c0171f47ae30ea8aee1817df7f316246b92a7fe5afaa77 | Python | 25,535 | 634 | #!/usr/bin/env python
"""
The progression control dialog box.
This dialog allows the user to configure an automatic starting
power and power increment to use while taking STORM movies.
This increases productivity & overall quality of life as the
user can focus on surfing the internet while acquiring STORM
... |
3e66e71916a467a82afc9655bb6d010ed400918b78cd7feec474828b7ea8a4cf | Python | 25,555 | 566 | """Gabor-filter entropy features for arbitrary image sets.
This is a standalone Python port of the descriptor behind the
GaborFilterEntropy4x4Cosine model from the EntropyReanalysis MATLAB scripts.
The default settings match that model: 256x256 grayscale images, six octave
frequency bands [1, 2, 4, 8, 16, 32], si... |
8be58f6623c97589cd8ff26f6578f3a5ff0064c3abc174cd1ef7a8e19dacdd8c | Python | 25,641 | 601 | # Required libraries
import matplotlib
matplotlib.use('Agg') # Set globally for all matplotlib usage
import os
os.environ['PYTORCH_CUDA_ALLOC_CONF'] = "max_split_size_mb:100"
os.environ['KMP_DUPLICATE_LIB_OK']="True"
os.environ['CUDA_LAUNCH_BLOCKING']="1"
import random
import glob
import time
import matplo... |
0f720c9f7c5acf9c8cc48fe45a66a516a70e9ca55ea5c53e054e39eec1e53a0c | Python | 25,644 | 627 | import argparse
import os
import shutil
import sys
import time
import warnings
import csv
import pandas as pd
from random import sample
from datetime import datetime
import random
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from sklearn import metri... |
094273c49e5e8fde52df5f1e7bdab399ef3ed6683e58f485b66472be9e91eef3 | Python | 25,653 | 577 | import random
from natsort import natsorted
import numpy as np
import pandas as pd
from typing import Dict, List, Optional, Tuple, Union
import matplotlib.colors as mcolors
from sklearn.preprocessing import MinMaxScaler
from skimage.transform import resize
from scipy.ndimage import gaussian_filter
from scipy.spatial.di... |
71cc74374dc24885d81a15022611b29129d227102513321b013eaaaec2b81a99 | Python | 25,679 | 828 | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 8 20:41:36 2023
@author: DELINTE Nicolas
"""
import numpy as np
from tqdm import tqdm
from PIL import Image
from scipy.ndimage import zoom
from scipy.interpolate import Akima1DInterpolator
import pyvista as pv
import matplotlib.pyplot as plt
from matplotlib import cm
fr... |
fa09615e016f715a9b7248c21d710522e6fe1424e2268033864b5241b2613122 | Python | 25,679 | 724 | """Multi-Dynamic Network Modes (M-DyNeMo).
See the :doc:`model description </models/mdynemo>` for more details.
See Also
--------
`Example script <https://github.com/OHBA-analysis/osl-dynamics/blob/main\
/examples/simulation/mdynemo_hmm-mvn.py>`_ for training M-DyNeMo on simulated
data (with multiple dynamics).
"""
... |
cbd5e421f732e9467197bc62f84a1d580f40a6ae5c90876239606e36050089df | Python | 25,730 | 648 | #!/usr/bin/env python
"""
Handles remote control (via TCP/IP of the data collection program).
Hazen 05/17
"""
import os
import warnings
from PyQt5 import QtCore
import storm_control.sc_library.halExceptions as halExceptions
import storm_control.sc_library.tcpMessage as tcpMessage
import storm_control.sc_library.tcpS... |
bddd66f65c84fc15e30b5525e0968e221c16344114fe31e413e890037071302c | Python | 25,740 | 545 | """Test scanning a share link for recordings, and building a batch spreadsheet.
Run from the repo root::
uv run python python/test_gui_spreadsheet_builder.py
No network: the remote half runs against a stub store that implements the same
three-method protocol :mod:`meanap.remote.base` defines, so the walk is
exer... |
70d2b715bc9b60994c3bf681acacced7108d6593b680e5dba33bb5e7d517f0ec | Python | 25,746 | 680 | import argparse
import logging
import math
import multiprocessing
import os
import re
import subprocess
import sys
from typing import Optional, Tuple, Union
import pandas as pd
# Import progress utilities
try:
from src.utils.progress import get_progress_manager, update_cli_args, resolve_progress_settings
except I... |
95616b8000293c68c7dd5e64fdebac74f4a0e3e853ef6a19dfbad80826d7b678 | Python | 25,756 | 700 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import json
from copy import deepcopy
from functools import partial
from http import HTTPStatus
from itertools import product
from typing import Any
import pytest
from cvat_sdk.api_client import exceptions, models
from cvat_sdk.api_client.api_client... |
b3200067b4d1767511a344b26db33ed7b6bd7d99426987976643930053d52288 | Python | 25,756 | 710 | import sys
import math
import numpy as np
import einops
import itertools
import torch
import torch.nn as nn
import torch.nn.functional as nnf
import torch.utils.checkpoint as checkpoint
from torch.distributions.normal import Normal
########################################################
# Networks
###################... |
ceeb61f5e46d2329596a9e244a34bda5cb97f0f8251219bd8899764d56d64432 | Python | 25,767 | 696 | #############################################################################
# Copyright (C) 2020-2026 MEmilio
#
# Authors: Maximilian Betz
#
# 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... |
0fbcc690453415eada9b0ecadf74ea8cad0a4614e915e7a1fae86fa82f99d481 | Python | 25,769 | 695 | #############################################################################
# Copyright (C) 2020-2026 MEmilio
#
# Authors: Maximilian Betz
#
# 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... |
cf9d2d12eaf3435bb805b2b510876175e22b625bdb2d820e3ab279fecb2bba50 | Python | 25,769 | 616 | import numpy as np
from . import data_handling as dh
grab_filter_datacube,check_olap = dh.grab_filter_datacube, dh.check_olap
from . import plotting_basics as pb
import matplotlib as mpl
from copy import deepcopy
from scipy.interpolate import interp1d
from skimage import measure
from . import corrfuncs as cfns
def fin... |
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