repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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|---|---|---|---|---|---|---|
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/downsample.py | # Copyright (c) OpenMMLab. All rights reserved.
def pixel_unshuffle(x, scale):
"""Down-sample by pixel unshuffle.
Args:
x (Tensor): Input tensor.
scale (int): Scale factor.
Returns:
Tensor: Output tensor.
"""
b, c, h, w = x.shape
if h % scale != 0 or w % scale != 0:
... | 613 | 25.695652 | 69 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/gca_module.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, constant_init, xavier_init
from torch.nn import functional as F
class GCAModule(nn.Module):
"""Guided Contextual Attention Module.
From https://arxiv.org/pdf/2001.04069.pdf.
Based on https:... | 14,808 | 40.250696 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/generation_model_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, kaiming_init, normal_init, xavier_init
from torch.nn import init
def generation_init_weights(module, init_type='normal', init_gain=0.02):
"""Default initialization of network weig... | 10,699 | 34.430464 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/ensemble.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
class SpatialTemporalEnsemble(nn.Module):
""" Apply spatial and temporal ensemble and compute outputs
Args:
is_temporal_ensemble (bool, optional): Whether to apply ensemble
temporally. If True, the sequence... | 3,541 | 32.415094 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/upsample.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from .sr_backbone_utils import default_init_weights
class PixelShufflePack(nn.Module):
""" Pixel Shuffle upsample layer.
Args:
in_channels (int): Number of input channels.
out_channels (int)... | 1,517 | 28.192308 | 76 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/img_normalize.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
class ImgNormalize(nn.Conv2d):
"""Normalize images with the given mean and std value.
Based on Conv2d layer, can work in GPU.
Args:
pixel_range (float): Pixel range of feature.
img_mean (Tuple[float]): Ima... | 1,063 | 31.242424 | 68 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/mask_conv_module.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule
class MaskConvModule(ConvModule):
"""Mask convolution module.
This is a simple wrapper for mask convolution like: 'partial conv'.
Convolutions in this module always need a mask as extra input.
Args:
in_channels (... | 3,649 | 40.011236 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/common/partial_conv.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import CONV_LAYERS
@CONV_LAYERS.register_module(name='PConv')
class PartialConv2d(nn.Conv2d):
"""Implementation for partial convolution.
Image Inpainting for Irr... | 3,605 | 34.009709 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/losses/pixelwise_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from ..registry import LOSSES
from .utils import masked_loss
_reduction_modes = ['none', 'mean', 'sum']
@masked_loss
def l1_loss(pred, target):
"""L1 loss.
Args:
pred (Tensor): Predict... | 7,356 | 32.13964 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/losses/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import torch.nn.functional as F
def reduce_loss(loss, reduction):
"""Reduce loss as specified.
Args:
loss (Tensor): Elementwise loss tensor.
reduction (str): Options are "none", "mean" and "sum".
Returns:
Tensor: R... | 3,743 | 31.275862 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/losses/gan_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.functional import conv2d
from ..registry import LOSSES
@LOSSES.register_module()
class GANLoss(nn.Module):
"""Define GAN loss.
Args:
gan_... | 11,506 | 32.353623 | 86 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/losses/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .gan_loss import DiscShiftLoss, GANLoss, GaussianBlur, GradientPenaltyLoss
from .perceptual_loss import PerceptualLoss, PerceptualVGG
from .pixelwise_loss import CharbonnierLoss, L1Loss, MaskedTVLoss, MSELoss
from .utils import mask_reduce_loss, reduce_loss
__all__ ... | 567 | 26.047619 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/losses/perceptual_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torchvision.models.vgg as vgg
from mmcv.runner import load_checkpoint
from torch.nn import functional as F
from mmedit.utils import get_root_logger
from ..registry import LOSSES
class PerceptualVGG(nn.Module):
"""VGG networ... | 10,350 | 34.940972 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/backbones/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .sr_backbones import BasicVSRPlusPlus
__all__ = ['BasicVSRPlusPlus']
| 123 | 23.8 | 47 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/backbones/sr_backbones/basicvsr_pp.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import constant_init
from mmcv.ops import ModulatedDeformConv2d, modulated_deform_conv2d
from mmcv.runner import load_checkpoint
from mmedit.models.backbones.sr_backbones.basicvsr_net import... | 16,773 | 37.56092 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/backbones/sr_backbones/basicvsr_net.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import load_checkpoint
from mmedit.models.common import (PixelShufflePack, ResidualBlockNoBN,
flow_warp, make_layer)
from... | 14,148 | 32.608076 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/models/backbones/sr_backbones/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .basicvsr_net import BasicVSRNet
from .basicvsr_pp import BasicVSRPlusPlus
__all__ = ['BasicVSRNet', 'BasicVSRPlusPlus']
| 175 | 28.333333 | 47 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/sr_vimeo90k_multiple_gt_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import os.path as osp
from .base_sr_dataset import BaseSRDataset
from .registry import DATASETS
@DATASETS.register_module()
class SRVimeo90KMultipleGTDataset(BaseSRDataset):
"""Vimeo90K dataset for video super resolution for recurrent networks.
The d... | 2,608 | 30.059524 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/sr_folder_multiple_gt_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import glob
import os
import os.path as osp
import mmcv
from .base_sr_dataset import BaseSRDataset
from .registry import DATASETS
@DATASETS.register_module()
class SRFolderMultipleGTDataset(BaseSRDataset):
"""General dataset for video super resolution, used for re... | 4,220 | 33.884298 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/registry.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.utils import Registry
DATASETS = Registry('dataset')
PIPELINES = Registry('pipeline')
| 145 | 23.333333 | 47 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/base_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from abc import ABCMeta, abstractmethod
from torch.utils.data import Dataset
from .pipelines import Compose
class BaseDataset(Dataset, metaclass=ABCMeta):
"""Base class for datasets.
All datasets should subclass it.
All subclasses should overw... | 2,006 | 24.405063 | 73 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/dataset_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
from .registry import DATASETS
@DATASETS.register_module()
class RepeatDataset:
"""A wrapper of repeated dataset.
The length of repeated dataset will be `times` larger than the original
dataset. This is useful when the data loading time is long but the data... | 1,034 | 24.875 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/sr_reds_multiple_gt_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_sr_dataset import BaseSRDataset
from .registry import DATASETS
@DATASETS.register_module()
class SRREDSMultipleGTDataset(BaseSRDataset):
"""REDS dataset for video super resolution for recurrent networks.
The dataset loads several LQ (Low-Quality) fra... | 3,194 | 36.151163 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_dataset import BaseDataset
from .base_sr_dataset import BaseSRDataset
from .builder import build_dataloader, build_dataset
from .dataset_wrappers import RepeatDataset
from .registry import DATASETS, PIPELINES
from .sr_folder_multiple_gt_dataset import SRFolderM... | 1,151 | 49.086957 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/base_sr_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from collections import defaultdict
from pathlib import Path
from mmcv import scandir
from .base_dataset import BaseDataset
IMG_EXTENSIONS = ('.jpg', '.JPG', '.jpeg', '.JPEG', '.png', '.PNG', '.ppm',
'.PPM', '.bmp', '... | 2,779 | 30.590909 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import platform
import random
from functools import partial
import numpy as np
import torch
from mmcv.parallel import collate
from mmcv.runner import get_dist_info
from mmcv.utils import build_from_cfg
from packaging import version
from torch.utils.data impor... | 6,177 | 32.945055 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/samplers/distributed_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from __future__ import division
import math
import torch
from torch.utils.data import DistributedSampler as _DistributedSampler
from mmedit.core.utils import sync_random_seed
class DistributedSampler(_DistributedSampler):
"""DistributedSampler inheriting from `tor... | 2,892 | 39.180556 | 80 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/samplers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .distributed_sampler import DistributedSampler
__all__ = ['DistributedSampler']
| 134 | 26 | 51 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/loading.py | # Copyright (c) OpenMMLab. All rights reserved.
from pathlib import Path
import mmcv
import numpy as np
from mmcv.fileio import FileClient
from mmedit.core.mask import (bbox2mask, brush_stroke_mask, get_irregular_mask,
random_bbox)
from ..registry import PIPELINES
@PIPELINES.register_m... | 19,292 | 34.206204 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/crop.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import random
import mmcv
import numpy as np
from torch.nn.modules.utils import _pair
from ..registry import PIPELINES
from .utils import random_choose_unknown
@PIPELINES.register_module()
class Crop:
"""Crop data to specific size for training.
Ar... | 28,291 | 36.722667 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/augmentation.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
import numbers
import os
import os.path as osp
import random
import cv2
import mmcv
import numpy as np
import torchvision.transforms as transforms
from PIL import Image
from ..registry import PIPELINES
@PIPELINES.register_module()
class Resize:... | 46,436 | 35.081585 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/matting_aug.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import random
import cv2
import mmcv
import numpy as np
from mmcv.fileio import FileClient
from ..registry import PIPELINES
from .utils import adjust_gamma, random_choose_unknown
def add_gaussian_noise(img, mu, sigma):
img = img.astype(np.flo... | 24,538 | 37.766193 | 81 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/compose.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections.abc import Sequence
from mmcv.utils import build_from_cfg
from ..registry import PIPELINES
@PIPELINES.register_module()
class Compose:
"""Compose a data pipeline with a sequence of transforms.
Args:
transforms (list[dict | callable]):... | 1,620 | 29.018519 | 73 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/random_degradations.py | # Copyright (c) OpenMMLab. All rights reserved.
import io
import logging
import random
import cv2
import numpy as np
from mmedit.datasets.pipelines import blur_kernels as blur_kernels
from ..registry import PIPELINES
try:
import av
has_av = True
except ImportError:
has_av = False
@PIPELINES.register_mo... | 18,941 | 33.007181 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
import numpy as np
import torch
from mmcv.utils import print_log
_integer_types = (
np.byte,
np.ubyte, # 8 bits
np.short,
np.ushort, # 16 bits
np.intc,
np.uintc, # 16 or 32 or 64 bits
np.int_,
np.uint, # 32 or 64 bits
... | 4,623 | 28.832258 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/random_down_sampling.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import numpy as np
import torch
from mmcv import imresize
from ..registry import PIPELINES
@PIPELINES.register_module()
class RandomDownSampling:
"""Generate LQ image from GT (and crop), which will randomly pick a scale.
Args:
scale_min (f... | 4,735 | 36.587302 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/blur_kernels.py | # This code is referenced from BasicSR with modifications.
# Reference: https://github.com/xinntao/BasicSR/blob/master/basicsr/data/degradations.py # noqa
# Original licence: Copyright (c) 2020 xinntao, under the Apache 2.0 license.
import numpy as np
from scipy import special
def get_rotated_sigma_matrix(sig_x, si... | 20,284 | 36.774674 | 109 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/formating.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections.abc import Sequence
import mmcv
import numpy as np
import torch
from mmcv.parallel import DataContainer as DC
from torch.nn import functional as F
from ..registry import PIPELINES
def to_tensor(data):
"""Convert objects of various python types to ... | 8,262 | 30.299242 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .augmentation import (BinarizeImage, ColorJitter, CopyValues, Flip,
GenerateFrameIndices,
GenerateFrameIndiceswithPadding,
GenerateSegmentIndices, MirrorSequence, Pad,
... | 2,833 | 58.041667 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/matlab_like_resize.py | # This code is referenced from matlab_imresize with modifications
# Reference: https://github.com/fatheral/matlab_imresize/blob/master/imresize.py # noqa
# Original licence: Copyright (c) 2020 fatheral, under the MIT License.
import numpy as np
from ..registry import PIPELINES
def get_size_from_scale(input_size, sc... | 9,022 | 31.692029 | 88 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/generate_assistant.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from ..registry import PIPELINES
from .utils import make_coord
@PIPELINES.register_module()
class GenerateHeatmap:
"""Generate heatmap from keypoint.
Args:
keypoint (str): Key of keypoint in dict.
ori_size (int |... | 6,056 | 34.629412 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/datasets/pipelines/normalization.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
from ..registry import PIPELINES
@PIPELINES.register_module()
class Normalize:
"""Normalize images with the given mean and std value.
Required keys are the keys in attribute "keys", added or modified keys are
the keys in attr... | 3,396 | 31.663462 | 78 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/utils/setup_env.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import platform
import warnings
import cv2
import torch.multiprocessing as mp
def setup_multi_processes(cfg):
"""Setup multi-processing environment variables."""
# set multi-process start method as `fork` to speed up the training
if platform.syste... | 2,219 | 45.25 | 112 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/utils/logger.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
from mmcv.utils import get_logger
def get_root_logger(log_file=None, log_level=logging.INFO):
"""Get the root logger.
The logger will be initialized if it has not been initialized. By default a
StreamHandler will be added. If `log_file` is s... | 968 | 33.607143 | 79 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/utils/collect_env.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.utils import collect_env as collect_base_env
from mmcv.utils import get_git_hash
import mmedit
def collect_env():
"""Collect the information of the running environments."""
env_info = collect_base_env()
env_info['MMEditing'] = f'{mmedit.__version_... | 481 | 24.368421 | 72 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/utils/cli.py | # Copyright (c) OpenMMLab. All rights reserved.
import re
import sys
import warnings
def modify_args():
for i, v in enumerate(sys.argv):
if i == 0:
assert v.endswith('.py')
elif re.match(r'--\w+_.*', v):
new_arg = v.replace('_', '-')
warnings.warn(
... | 511 | 25.947368 | 60 | py |
BasicVSR_PlusPlus | BasicVSR_PlusPlus-master/mmedit/utils/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .cli import modify_args
from .logger import get_root_logger
from .setup_env import setup_multi_processes
__all__ = ['get_root_logger', 'setup_multi_processes', 'modify_args']
| 229 | 31.857143 | 69 | py |
SLOPpy | SLOPpy-main/SLOPpy_Run.py | import SLOPpy
import argparse
import os
import sys
import collections
if __name__ == '__main__':
SLOPpy.sloppy_run()
| 123 | 11.4 | 26 | py |
SLOPpy | SLOPpy-main/setup.py | from setuptools import setup
# Inspired from here:
# https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/
# https://realpython.com/pypi-publish-python-package/#prepare-your-package-for-publication
# read the contents of your README file
from pathlib import Path
this_directory = Path(__file__).pa... | 1,994 | 31.177419 | 90 | py |
SLOPpy | SLOPpy-main/scripts/planetary_velocity_plot.py | """from classes.kepler_exo import *
# Mass of the star HD189733 (in Solar masses)
#Ms = 0.823
Ms = 1.148
# Mass of the planet (in Solar masses)
#Mp = 1.138 / 1.047348644e3
Mp = 0.69 / 1.047348644e3
K1 = kepler_K1(Mp,Ms,3.52474854657,86.59,0.0082)
print K1
## update
"""
import matplotlib.pyplot as plt
import numpy ... | 1,531 | 26.357143 | 131 | py |
SLOPpy | SLOPpy-main/scripts/absorption_depths.py | import numpy as np
import matplotlib.pyplot as plt
import cPickle as pickle
#w,f1,f2,f3,fall,sigma=np.loadtxt('/home/sicilia/Astro/Wyttenbach/HD189733_589289_1200_transmission_spectrum_TransSpec_atmcorr.rdb',unpack=True,skiprows=2)
#w,t1,sigma=np.loadtxt('/home/sicilia/Astro/Wyttenbach/transmission_spectrum_1.rdb',unp... | 8,507 | 45.747253 | 155 | py |
SLOPpy | SLOPpy-main/scripts/planetary_velocity.py | """from classes.kepler_exo import *
# Mass of the star HD189733 (in Solar masses)
#Ms = 0.823
Ms = 1.148
# Mass of the planet (in Solar masses)
#Mp = 1.138 / 1.047348644e3
Mp = 0.69 / 1.047348644e3
K1 = kepler_K1(Mp,Ms,3.52474854657,86.59,0.0082)
print K1
## update
"""
import matplotlib.pyplot as plt
import numpy ... | 2,556 | 35.014085 | 131 | py |
SLOPpy | SLOPpy-main/docs/conf.py | # -*- coding: utf-8 -*-
#
# PyORBIT documentation build configuration file, created by
# sphinx-quickstart on Sat Dec 16 17:20:15 2017.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# A... | 4,554 | 29.57047 | 80 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_spectrum_shortcuts.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.transmission_spectrum import *
from SLOPpy.transmission_spectrum_average import *
#__all__ = ['compute_transmission_spectrum_planetRF_iterative',
# 'plot_transmi... | 8,420 | 45.783333 | 136 | py |
SLOPpy | SLOPpy-main/SLOPpy/pca_preparation.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.plot_subroutin... | 5,114 | 37.458647 | 124 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_spectrum.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.math_functions... | 44,684 | 51.447183 | 146 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_binned_mcmc.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.constants import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts impo... | 77,242 | 45.475933 | 141 | py |
SLOPpy | SLOPpy-main/SLOPpy/interstellar_lines.bkp.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcuts import *
__all__ = ["compute_interstellar_l... | 8,408 | 38.478873 | 129 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_spectrum_average.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
__all__ = [
'compute_trans... | 15,311 | 44.981982 | 174 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_molecfit.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 30,915 | 44.801481 | 122 | py |
SLOPpy | SLOPpy-main/SLOPpy/quick_transmission.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.plot_subroutin... | 5,497 | 40.651515 | 103 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_molecfit_v1.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 31,063 | 44.749632 | 122 | py |
SLOPpy | SLOPpy-main/SLOPpy/second_telluric_correction_on_transmission.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from scipy.stats import linregress
... | 7,683 | 40.76087 | 132 | py |
SLOPpy | SLOPpy-main/SLOPpy/clv_rm_modelling.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.constants import *
from SLOPpy.subroutines.kepler_exo import *
from SLOPpy.subroutines.plot_subroutines import ... | 20,737 | 48.971084 | 119 | py |
SLOPpy | SLOPpy-main/SLOPpy/clv_rm_models.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.constants import *
from SLOPpy.subroutines.kepler_exo import *
from SLOPpy.subroutines.plot_subroutines import ... | 30,251 | 46.566038 | 190 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_lightcurve_average.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.rebin_subrouti... | 16,394 | 47.794643 | 145 | py |
SLOPpy | SLOPpy-main/SLOPpy/differential_refraction.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.plot_subroutin... | 32,600 | 48.395455 | 120 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_lightcurve.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.rebin_subrouti... | 25,556 | 51.58642 | 151 | py |
SLOPpy | SLOPpy-main/SLOPpy/config_default.py | config_default = {
'molecfit': {
'installation_path': '/usr/local/eso/bin/',
'include_telluric': './additional_files/include_regions_ORF.dat',
'include_stellar': './additional_files/include_regions_SRF.dat',
'exptime_coadd': 2600,
'rebinning_step': 0.010
},
'instrumen... | 1,477 | 25.872727 | 73 | py |
SLOPpy | SLOPpy-main/SLOPpy/differential_refraction_preparation.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.plot_subroutin... | 10,775 | 47.981818 | 113 | py |
SLOPpy | SLOPpy-main/SLOPpy/sysrem_correction.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.plot_subroutin... | 8,372 | 34.935622 | 131 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_template_alternative.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 28,925 | 45.654839 | 131 | py |
SLOPpy | SLOPpy-main/SLOPpy/prepare_datasets.py | from __future__ import print_function, division
from SLOPpy.instruments.get_data import *
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcuts import *
... | 33,511 | 49.092676 | 144 | py |
SLOPpy | SLOPpy-main/SLOPpy/master_out.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.rebin_subrouti... | 16,971 | 43.197917 | 116 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_template.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 19,545 | 43.221719 | 121 | py |
SLOPpy | SLOPpy-main/SLOPpy/spectra_lightcurve_bkp.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.rebin_subrouti... | 21,465 | 44.478814 | 132 | py |
SLOPpy | SLOPpy-main/SLOPpy/interstellar_lines.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcuts import *
__all__ = ["compute_interstellar_l... | 14,029 | 44.700326 | 121 | py |
SLOPpy | SLOPpy-main/SLOPpy/compare_clv_rm_effects.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
__all__ = ['plot_compare_clv_rm_effec... | 4,395 | 45.273684 | 114 | py |
SLOPpy | SLOPpy-main/SLOPpy/spectra_lightcurve_average.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.rebin_subrouti... | 17,778 | 49.652422 | 166 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_airmass_stellarRF.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortc... | 16,023 | 43.885154 | 131 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_airmass_observerRF_chunks.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
__all__ = ["compute_telluric_airmass_... | 10,263 | 48.346154 | 120 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_molecfit_coadd.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 23,722 | 45.976238 | 141 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_observerRF_skycalc.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 14,532 | 46.338762 | 138 | py |
SLOPpy | SLOPpy-main/SLOPpy/clv_rm_models_lines.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.constants import *
from SLOPpy.subroutines.kepler_exo import *
from SLOPpy.subroutines.plot_subroutines import ... | 39,165 | 44.808187 | 190 | py |
SLOPpy | SLOPpy-main/SLOPpy/write_output_transmission.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.math_functions... | 39,983 | 48.917603 | 146 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_spectrum_preparation.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.plot_subroutin... | 13,646 | 42.32381 | 163 | py |
SLOPpy | SLOPpy-main/SLOPpy/__init__.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from SLOPpy.sloppy_run import sloppy_run
from SLOPpy.subroutines.io_subroutines import yaml_parser, pars_input
#from SLOPpy.subroutines.interpol import interpolate1d_grid_nocheck
from SLOPpy.prepare_datasets import *
from SLOPpy.sky_correction import *
from SLOPpy.different... | 2,026 | 38.745098 | 69 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_molecfit_v1_preparation.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 5,343 | 38.007299 | 119 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_molecfit_v1_coadd.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 22,214 | 44.244399 | 118 | py |
SLOPpy | SLOPpy-main/SLOPpy/spectra_lightcurve.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.rebin_subrouti... | 36,599 | 50.260504 | 144 | py |
SLOPpy | SLOPpy-main/SLOPpy/differential_refraction.bkp.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.shortcuts import *
__all__ = ["compute_differential_refr... | 25,301 | 47.378585 | 119 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_molecfit_preparation.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 5,335 | 37.948905 | 119 | py |
SLOPpy | SLOPpy-main/SLOPpy/telluric_airmass_observerRF.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 22,627 | 46.537815 | 125 | py |
SLOPpy | SLOPpy-main/SLOPpy/sloppy_run.py | import SLOPpy
import argparse
import os
import sys
import collections
def sloppy_run():
print()
print('SLOPpy v{0}'.format(SLOPpy.__version__))
print()
print('Python version in use:')
print(sys.version)
#if sys.version_info[0] == 3 and sys.version_info[1] > 7:
# print('WARNING MESSAGES ... | 24,000 | 51.749451 | 139 | py |
SLOPpy | SLOPpy-main/SLOPpy/transmission_mcmc.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.constants import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts impo... | 56,597 | 46.24374 | 159 | py |
SLOPpy | SLOPpy-main/SLOPpy/check_differential_refraction.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
from SLOPpy.subroutines.shortcu... | 23,686 | 45.083658 | 143 | py |
SLOPpy | SLOPpy-main/SLOPpy/sky_correction.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.plot_subroutines import *
__all__ = ["compute_sky_correc... | 7,124 | 43.53125 | 113 | py |
SLOPpy | SLOPpy-main/SLOPpy/write_output_spectra.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
from SLOPpy.subroutines.spectral_subroutines import *
from SLOPpy.subroutines.io_subroutines import *
from SLOPpy.subroutines.fit_subroutines import *
from SLOPpy.subroutines.shortcuts import *
from SLOPpy.subroutines.rebin_subrouti... | 5,351 | 43.97479 | 123 | py |
SLOPpy | SLOPpy-main/SLOPpy/subroutines/rebin_subroutines.py | from __future__ import print_function, division
import numpy as np
from scipy.interpolate import interp1d
from SLOPpy.subroutines.constants import *
def shift_wavelength(wave, step, rv_shift):
wave_shift = rv_shift / speed_of_light_km + 1.00000
return wave * wave_shift, step * wave_shift
def shift_wavelengt... | 13,958 | 33.8975 | 120 | py |
SLOPpy | SLOPpy-main/SLOPpy/subroutines/plot_subroutines.py | from __future__ import print_function, division
from SLOPpy.subroutines.common import *
def make_color_array(lists, input_data):
""" Creation of the color array, based on the BJD of the observations
"""
bjd = []
am = []
for obs in lists['observations']:
bjd.append(input_data[obs]['BJD'] - ... | 4,351 | 31 | 83 | py |
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