text stringlengths 0 1.05M | meta dict |
|---|---|
from copy import deepcopy
import numpy as np
import warnings
from .baseline import rescale
from .channels.channels import (ContainsMixin, PickDropChannelsMixin,
SetChannelsMixin, InterpolationMixin,
equalize_channels)
from .filter import resample, detren... | {
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"path": "mne/evoked.py",
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"size": "48018",
"license": "bsd-3-clause",
"hash": -9044728415328822000,
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"line_max": 81,
"alpha_frac": 0.5571244117,
"autogenerated": false,
"ratio": 4.095701125895599,
"config_test": fals... |
from copy import deepcopy
import numpy as np
import warnings
from .baseline import rescale
from .channels.channels import (ContainsMixin, UpdateChannelsMixin,
SetChannelsMixin, InterpolationMixin,
equalize_channels)
from .filter import resample, detrend,... | {
"repo_name": "antiface/mne-python",
"path": "mne/evoked.py",
"copies": "2",
"size": "48644",
"license": "bsd-3-clause",
"hash": -3466791200641108000,
"line_mean": 39.3349917081,
"line_max": 81,
"alpha_frac": 0.5563892772,
"autogenerated": false,
"ratio": 4.0990983399342715,
"config_test": fals... |
from copy import deepcopy
import numpy as np
from .baseline import rescale
from .channels.channels import (ContainsMixin, UpdateChannelsMixin,
SetChannelsMixin, InterpolationMixin,
equalize_channels)
from .filter import resample, detrend, FilterMixin
fro... | {
"repo_name": "wronk/mne-python",
"path": "mne/evoked.py",
"copies": "1",
"size": "60841",
"license": "bsd-3-clause",
"hash": 1367482009505480400,
"line_mean": 39.9427994616,
"line_max": 79,
"alpha_frac": 0.5650959057,
"autogenerated": false,
"ratio": 4.148155723733551,
"config_test": false,
... |
from copy import deepcopy
import numpy as np
import warnings
from .baseline import rescale
from .channels.channels import (ContainsMixin, PickDropChannelsMixin,
SetChannelsMixin)
from .filter import resample, detrend
from .fixes import in1d
from .utils import (_check_pandas_installed, ... | {
"repo_name": "effigies/mne-python",
"path": "mne/evoked.py",
"copies": "1",
"size": "44159",
"license": "bsd-3-clause",
"hash": 6411598745254146000,
"line_mean": 38.533572068,
"line_max": 79,
"alpha_frac": 0.5470232569,
"autogenerated": false,
"ratio": 4.0647091310751104,
"config_test": false,... |
from copy import deepcopy
import numpy as np
import warnings
from .baseline import rescale
from .channels import ContainsMixin, PickDropChannelsMixin
from .filter import resample, detrend
from .fixes import in1d
from .utils import (_check_pandas_installed, check_fname, logger, verbose,
deprecated,... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/evoked.py",
"copies": "1",
"size": "47473",
"license": "bsd-2-clause",
"hash": -1817806494166825700,
"line_mean": 37.5332792208,
"line_max": 80,
"alpha_frac": 0.5564426095,
"autogenerated": false,
"ratio": 3.965998329156224,
"config_test": false,
"... |
import os
import os.path as op
import sys
import numpy as np
from scipy import sparse
from ..utils import (verbose, logger, warn, copy_function_doc_to_method_doc,
_check_preload, _validate_type, fill_doc, _check_option)
from ..io.compensator import get_current_comp
from ..io.constants import FIF... | {
"repo_name": "adykstra/mne-python",
"path": "mne/channels/channels.py",
"copies": "1",
"size": "52814",
"license": "bsd-3-clause",
"hash": -7237960979239639000,
"line_mean": 36.5900355872,
"line_max": 79,
"alpha_frac": 0.5679744007,
"autogenerated": false,
"ratio": 3.957290573954743,
"config_t... |
import os
import os.path as op
import warnings
import numpy as np
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger
from ..io.pick import (channel_type, pick_info, pick_types,
_check_excludes_includes)
from ..io.constants import FIFF
def _... | {
"repo_name": "cmoutard/mne-python",
"path": "mne/channels/channels.py",
"copies": "1",
"size": "28664",
"license": "bsd-3-clause",
"hash": -858041748708670200,
"line_mean": 34.5192069393,
"line_max": 79,
"alpha_frac": 0.5556795981,
"autogenerated": false,
"ratio": 3.9308831596269886,
"config_t... |
import os
import os.path as op
import warnings
import numpy as np
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger
from ..io.pick import channel_type, pick_info, pick_types
from ..io.constants import FIFF
def _get_meg_system(info):
"""Educated guess for the... | {
"repo_name": "matthew-tucker/mne-python",
"path": "mne/channels/channels.py",
"copies": "2",
"size": "23008",
"license": "bsd-3-clause",
"hash": -1656314884933417500,
"line_mean": 34.0197869102,
"line_max": 79,
"alpha_frac": 0.5450712796,
"autogenerated": false,
"ratio": 3.9397260273972603,
"c... |
import os
import os.path as op
import numpy as np
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger, warn, copy_function_doc_to_method_doc
from ..utils import _check_preload
from ..io.compensator import get_current_comp
from ..io.constants import FIFF
from ..io.mea... | {
"repo_name": "jaeilepp/mne-python",
"path": "mne/channels/channels.py",
"copies": "1",
"size": "47704",
"license": "bsd-3-clause",
"hash": -5146395356184269000,
"line_mean": 37.2550120289,
"line_max": 79,
"alpha_frac": 0.5700360557,
"autogenerated": false,
"ratio": 3.937923064223213,
"config_t... |
import os
import os.path as op
import numpy as np
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger, warn, _check_copy_dep
from ..io.pick import (channel_type, pick_info, pick_types,
_check_excludes_includes, _PICK_TYPES_KEYS)
from ..io.cons... | {
"repo_name": "wronk/mne-python",
"path": "mne/channels/channels.py",
"copies": "1",
"size": "31888",
"license": "bsd-3-clause",
"hash": -1914458427826687200,
"line_mean": 35.1541950113,
"line_max": 79,
"alpha_frac": 0.5586741094,
"autogenerated": false,
"ratio": 3.9528945084913847,
"config_tes... |
import os
import os.path as op
import numpy as np
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger, warn, copy_function_doc_to_method_doc
from ..io.compensator import get_current_comp
from ..io.constants import FIFF
from ..io.meas_info import anonymize_info
from ... | {
"repo_name": "nicproulx/mne-python",
"path": "mne/channels/channels.py",
"copies": "2",
"size": "39343",
"license": "bsd-3-clause",
"hash": 4785753184477791000,
"line_mean": 36.1862003781,
"line_max": 79,
"alpha_frac": 0.5669623567,
"autogenerated": false,
"ratio": 4.037664203612479,
"config_t... |
import os
import os.path as op
import numpy as np
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger, warn
from ..io.compensator import get_current_comp
from ..io.meas_info import anonymize_info
from ..io.pick import (channel_type, pick_info, pick_types,
... | {
"repo_name": "alexandrebarachant/mne-python",
"path": "mne/channels/channels.py",
"copies": "2",
"size": "33641",
"license": "bsd-3-clause",
"hash": 7625100358122311000,
"line_mean": 34.7502656748,
"line_max": 79,
"alpha_frac": 0.557979846,
"autogenerated": false,
"ratio": 3.984012316437707,
"... |
import os
import os.path as op
import numpy as np
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger, warn
from ..io.pick import (channel_type, pick_info, pick_types,
_check_excludes_includes, _PICK_TYPES_KEYS)
from ..io.constants import FIFF... | {
"repo_name": "ARudiuk/mne-python",
"path": "mne/channels/channels.py",
"copies": "1",
"size": "31361",
"license": "bsd-3-clause",
"hash": 1813074794998495000,
"line_mean": 34.5164212911,
"line_max": 79,
"alpha_frac": 0.5554350945,
"autogenerated": false,
"ratio": 3.9537317196167425,
"config_te... |
import os
import os.path as op
import numpy as np
from scipy.io import loadmat
from scipy import sparse
from ..externals.six import string_types
from ..utils import verbose, logger
from ..io.pick import channel_type, pick_info, pick_types
from ..io.constants import FIFF
def _get_meg_system(info):
"""Educated ... | {
"repo_name": "effigies/mne-python",
"path": "mne/channels/channels.py",
"copies": "1",
"size": "15328",
"license": "bsd-3-clause",
"hash": 1434249195374030600,
"line_mean": 34.7296037296,
"line_max": 79,
"alpha_frac": 0.5686325678,
"autogenerated": false,
"ratio": 3.8668012108980827,
"config_t... |
from copy import deepcopy
from math import sqrt
import numpy as np
from scipy import linalg
from itertools import count
from .tree import dir_tree_find
from .tag import find_tag
from .constants import FIFF
from .pick import pick_types
from ..utils import logger, verbose
class Projection(dict):
"""Projection vec... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/io/proj.py",
"copies": "2",
"size": "20380",
"license": "bsd-2-clause",
"hash": -344185930237088640,
"line_mean": 31.0440251572,
"line_max": 79,
"alpha_frac": 0.5539744848,
"autogenerated": false,
"ratio": 3.986697965571205,
"config_test": false,
"... |
from copy import deepcopy
import numpy as np
from .constants import FIFF
from .tag import find_tag, has_tag, read_tag
from .tree import dir_tree_find
from .write import start_block, end_block, write_int
from .matrix import write_named_matrix
from ..utils import logger, verbose
def hex2dec(s):
return int(s, 16... | {
"repo_name": "dimkal/mne-python",
"path": "mne/io/ctf.py",
"copies": "15",
"size": "8024",
"license": "bsd-3-clause",
"hash": -4319249564481080300,
"line_mean": 30.34375,
"line_max": 79,
"alpha_frac": 0.5205633101,
"autogenerated": false,
"ratio": 3.6357045763479836,
"config_test": false,
"h... |
from copy import deepcopy
import numpy as np
from .constants import FIFF
from .tag import find_tag, has_tag, read_tag
from .tree import dir_tree_find
from ..utils import logger, verbose
def hex2dec(s):
return int(s, 16)
def _read_named_matrix(fid, node, matkind):
"""read_named_matrix(fid,node)
Read... | {
"repo_name": "effigies/mne-python",
"path": "mne/io/ctf.py",
"copies": "3",
"size": "8120",
"license": "bsd-3-clause",
"hash": -5207362609175185000,
"line_mean": 30.4728682171,
"line_max": 79,
"alpha_frac": 0.514408867,
"autogenerated": false,
"ratio": 3.677536231884058,
"config_test": false,
... |
from copy import deepcopy
import numpy as np
from .constants import FIFF
from .tag import read_tag
from .tree import dir_tree_find
from .write import start_block, end_block, write_int
from .matrix import write_named_matrix, _read_named_matrix
from ..utils import logger, verbose
def _add_kind(one):
"""Convert ... | {
"repo_name": "jaeilepp/mne-python",
"path": "mne/io/ctf_comp.py",
"copies": "8",
"size": "5276",
"license": "bsd-3-clause",
"hash": -4338880203234085400,
"line_mean": 31.975,
"line_max": 79,
"alpha_frac": 0.5452994693,
"autogenerated": false,
"ratio": 3.45740498034076,
"config_test": false,
... |
from copy import deepcopy
from itertools import count
from math import sqrt
import warnings
import numpy as np
from scipy import linalg
from .tree import dir_tree_find
from .tag import find_tag
from .constants import FIFF
from .pick import pick_types
from .write import (write_int, write_float, write_string, write_na... | {
"repo_name": "adykstra/mne-python",
"path": "mne/io/proj.py",
"copies": "2",
"size": "32759",
"license": "bsd-3-clause",
"hash": 2682090568286638000,
"line_mean": 36.141723356,
"line_max": 83,
"alpha_frac": 0.569706035,
"autogenerated": false,
"ratio": 4.088741887169246,
"config_test": false,
... |
from copy import deepcopy
from itertools import count
from math import sqrt
import numpy as np
from scipy import linalg
from .tree import dir_tree_find
from .tag import find_tag
from .constants import FIFF
from .pick import pick_types
from .write import (write_int, write_float, write_string, write_name_list,
... | {
"repo_name": "jmontoyam/mne-python",
"path": "mne/io/proj.py",
"copies": "3",
"size": "28184",
"license": "bsd-3-clause",
"hash": 7540644797556663000,
"line_mean": 34.4070351759,
"line_max": 79,
"alpha_frac": 0.5682302015,
"autogenerated": false,
"ratio": 4.040716845878136,
"config_test": fals... |
from copy import deepcopy
from math import sqrt
import numpy as np
from scipy import linalg
from itertools import count
import warnings
from .tree import dir_tree_find
from .tag import find_tag
from .constants import FIFF
from .pick import pick_types
from ..utils import logger, verbose
class Projection(dict):
"... | {
"repo_name": "effigies/mne-python",
"path": "mne/io/proj.py",
"copies": "1",
"size": "22513",
"license": "bsd-3-clause",
"hash": -9010814555615634000,
"line_mean": 32.0102639296,
"line_max": 79,
"alpha_frac": 0.5527917203,
"autogenerated": false,
"ratio": 4.0309758281110115,
"config_test": fal... |
import numpy as np
from scipy.io import loadmat
from scipy import sparse
from .externals.six import string_types
from .utils import verbose, logger
from .io.pick import channel_type, pick_info
from .io.constants import FIFF
def _get_meg_system(info):
"""Educated guess for the helmet type based on channels"""
... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/channels.py",
"copies": "2",
"size": "12201",
"license": "bsd-2-clause",
"hash": -1276033226743626000,
"line_mean": 34.0603448276,
"line_max": 79,
"alpha_frac": 0.5777395295,
"autogenerated": false,
"ratio": 3.825964252116651,
"config_test": false,
... |
from functools import partial
import glob
import os
import os.path as op
import shutil
from copy import deepcopy
import numpy as np
from scipy import linalg
from .io.constants import FIFF, FWD
from .io.meas_info import _dig_kind_dict, _dig_kind_rev, _dig_kind_ints
from .io.write import (start_file, start_block, writ... | {
"repo_name": "adykstra/mne-python",
"path": "mne/bem.py",
"copies": "1",
"size": "72173",
"license": "bsd-3-clause",
"hash": 7240667967905068000,
"line_mean": 36.7869109948,
"line_max": 79,
"alpha_frac": 0.5616089119,
"autogenerated": false,
"ratio": 3.4381192835365852,
"config_test": false,
... |
from functools import partial
import glob
import os
import os.path as op
import shutil
from copy import deepcopy
import numpy as np
from scipy import linalg
from .transforms import _ensure_trans, apply_trans
from .io.constants import FIFF
from .io.write import (start_file, start_block, write_float, write_int,
... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/bem.py",
"copies": "2",
"size": "71757",
"license": "bsd-3-clause",
"hash": 8416324611753609000,
"line_mean": 36.8066385669,
"line_max": 79,
"alpha_frac": 0.5647950723,
"autogenerated": false,
"ratio": 3.444060475161987,
"config_test": false,
... |
from functools import partial
import glob
import os
import os.path as op
import shutil
import sys
import numpy as np
from scipy import linalg
from .transforms import _ensure_trans, apply_trans
from .io import Info
from .io.constants import FIFF
from .io.write import (start_file, start_block, write_float, write_int,
... | {
"repo_name": "nicproulx/mne-python",
"path": "mne/bem.py",
"copies": "2",
"size": "71955",
"license": "bsd-3-clause",
"hash": -4302546822566165500,
"line_mean": 36.9910242872,
"line_max": 79,
"alpha_frac": 0.5645333889,
"autogenerated": false,
"ratio": 3.430839650979831,
"config_test": false,
... |
from functools import partial
import glob
import os
import os.path as op
import shutil
import sys
import numpy as np
from scipy import linalg
from .utils import verbose, logger, run_subprocess, get_subjects_dir, warn
from .transforms import _ensure_trans, apply_trans
from .io import Info
from .io.constants import FI... | {
"repo_name": "jniediek/mne-python",
"path": "mne/bem.py",
"copies": "3",
"size": "70571",
"license": "bsd-3-clause",
"hash": -4474667579853174300,
"line_mean": 36.8599785408,
"line_max": 79,
"alpha_frac": 0.5634184013,
"autogenerated": false,
"ratio": 3.4271076146076145,
"config_test": false,
... |
import sys
import os
import os.path as op
import shutil
import glob
import numpy as np
from scipy import linalg
from .fixes import partial
from .utils import (verbose, logger, run_subprocess, deprecated,
get_subjects_dir)
from .transforms import _ensure_trans, apply_trans
from .io.constants import... | {
"repo_name": "rajegannathan/grasp-lift-eeg-cat-dog-solution-updated",
"path": "python-packages/mne-python-0.10/mne/bem.py",
"copies": "1",
"size": "61974",
"license": "bsd-3-clause",
"hash": 2206501949489054500,
"line_mean": 36.3337349398,
"line_max": 79,
"alpha_frac": 0.5643334301,
"autogenerated... |
import sys
import os
import os.path as op
import shutil
import glob
import numpy as np
from scipy import linalg
from .fixes import partial
from .utils import verbose, logger, run_subprocess, get_subjects_dir
from .transforms import _ensure_trans, apply_trans
from .io.constants import FIFF
from .io.write import (start... | {
"repo_name": "yousrabk/mne-python",
"path": "mne/bem.py",
"copies": "1",
"size": "61506",
"license": "bsd-3-clause",
"hash": -6379882188546215000,
"line_mean": 36.5036585366,
"line_max": 79,
"alpha_frac": 0.5641888596,
"autogenerated": false,
"ratio": 3.390441541260129,
"config_test": false,
... |
import sys
import os
import os.path as op
import shutil
import glob
import numpy as np
from scipy import linalg
from .fixes import partial
from .utils import verbose, logger, run_subprocess, get_subjects_dir
from .transforms import _ensure_trans, apply_trans
from .io.constants import FIFF
from .io.write import (star... | {
"repo_name": "cmoutard/mne-python",
"path": "mne/bem.py",
"copies": "1",
"size": "64012",
"license": "bsd-3-clause",
"hash": 2165412669367587000,
"line_mean": 36.7206835592,
"line_max": 79,
"alpha_frac": 0.5629725676,
"autogenerated": false,
"ratio": 3.409972299168975,
"config_test": false,
... |
import numpy as np
from scipy import linalg
from .fixes import partial
from .utils import verbose, logger
from .io.constants import FIFF
from .externals.six import string_types
# ############################################################################
# Compute EEG sphere model
def _fwd_eeg_get_multi_sphere_mo... | {
"repo_name": "Odingod/mne-python",
"path": "mne/bem.py",
"copies": "2",
"size": "11943",
"license": "bsd-3-clause",
"hash": -2675546399206590500,
"line_mean": 34.7574850299,
"line_max": 79,
"alpha_frac": 0.5389768065,
"autogenerated": false,
"ratio": 3.2339561332250204,
"config_test": false,
... |
import sys
import os
import os.path as op
import shutil
import numpy as np
from scipy import linalg
from .fixes import partial
from .utils import (verbose, logger, run_subprocess, deprecated,
get_subjects_dir)
from .io.constants import FIFF
from .io.write import (start_file, start_block, write_flo... | {
"repo_name": "matthew-tucker/mne-python",
"path": "mne/bem.py",
"copies": "1",
"size": "47266",
"license": "bsd-3-clause",
"hash": 4023964450967949300,
"line_mean": 34.9984767708,
"line_max": 79,
"alpha_frac": 0.5599796894,
"autogenerated": false,
"ratio": 3.295175683212493,
"config_test": fal... |
import sys
import os
import os.path as op
import shutil
import numpy as np
from scipy import linalg
from .fixes import partial
from .utils import (verbose, logger, run_subprocess, get_subjects_dir)
from .io.constants import FIFF
from .externals.six import string_types
from .surface import read_surface, write_bem_surf... | {
"repo_name": "dgwakeman/mne-python",
"path": "mne/bem.py",
"copies": "2",
"size": "16258",
"license": "bsd-3-clause",
"hash": -1742239873265521000,
"line_mean": 34.9690265487,
"line_max": 79,
"alpha_frac": 0.5462541518,
"autogenerated": false,
"ratio": 3.2964314679643145,
"config_test": false,... |
from math import floor, ceil
import copy
from copy import deepcopy
import warnings
import os
import os.path as op
import numpy as np
from scipy.signal import hilbert
from scipy import linalg
from .constants import FIFF
from .pick import pick_types, channel_type, pick_channels
from .meas_info import write_meas_info
f... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/io/base.py",
"copies": "1",
"size": "73937",
"license": "bsd-2-clause",
"hash": -3721078589514858500,
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"config_test": false,
... |
import copy
import warnings
import os
import os.path as op
import numpy as np
from ..constants import FIFF
from ..open import fiff_open, _fiff_get_fid
from ..meas_info import read_meas_info
from ..tree import dir_tree_find
from ..tag import read_tag
from ..proj import proj_equal
from ..compensator import get_current... | {
"repo_name": "effigies/mne-python",
"path": "mne/io/fiff/raw.py",
"copies": "3",
"size": "25902",
"license": "bsd-3-clause",
"hash": -2441454812977921500,
"line_mean": 42.3143812709,
"line_max": 80,
"alpha_frac": 0.4871438499,
"autogenerated": false,
"ratio": 4.34014745308311,
"config_test": f... |
import numpy as np
from ..externals.six import b
from .constants import FIFF
def _find_channels(ch_names, ch_type='EOG'):
"""Find EOG channel."""
substrings = (ch_type,)
substrings = [s.upper() for s in substrings]
if ch_type == 'EOG':
substrings = ('EOG', 'EYE')
eog_idx = [idx for idx, ... | {
"repo_name": "jaeilepp/mne-python",
"path": "mne/io/utils.py",
"copies": "3",
"size": "8594",
"license": "bsd-3-clause",
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"alpha_frac": 0.5560856411,
"autogenerated": false,
"ratio": 3.4035643564356435,
"config_test": tr... |
import numpy as np
def _find_channels(ch_names, ch_type='EOG'):
"""Helper to find EOG channel.
"""
substrings = (ch_type,)
substrings = [s.upper() for s in substrings]
if ch_type == 'EOG':
substrings = ('EOG', 'EYE')
eog_idx = [idx for idx, ch in enumerate(ch_names) if
... | {
"repo_name": "cmoutard/mne-python",
"path": "mne/io/utils.py",
"copies": "1",
"size": "6186",
"license": "bsd-3-clause",
"hash": -2948060419839781400,
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"line_max": 104,
"alpha_frac": 0.5476883285,
"autogenerated": false,
"ratio": 3.398901098901099,
"config_test": fal... |
from copy import deepcopy
import os
import os.path as op
import numpy as np
from .constants import FIFF
from .pick import pick_types, channel_type, pick_channels, pick_info
from .pick import _pick_data_channels, _pick_data_or_ica
from .meas_info import write_meas_info
from .proj import setup_proj, activate_proj, _pr... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/io/base.py",
"copies": "2",
"size": "106471",
"license": "bsd-3-clause",
"hash": -6407128994158822000,
"line_mean": 40.6553208138,
"line_max": 103,
"alpha_frac": 0.5612983817,
"autogenerated": false,
"ratio": 4.163740174416331,
"config_test": ... |
import copy
from copy import deepcopy
import os
import os.path as op
import numpy as np
from scipy import linalg
from .constants import FIFF
from .pick import pick_types, channel_type, pick_channels, pick_info
from .pick import _pick_data_channels, _pick_data_or_ica
from .meas_info import write_meas_info
from .proj ... | {
"repo_name": "wronk/mne-python",
"path": "mne/io/base.py",
"copies": "1",
"size": "96519",
"license": "bsd-3-clause",
"hash": 2397454402258756600,
"line_mean": 40.4957007739,
"line_max": 104,
"alpha_frac": 0.5589365824,
"autogenerated": false,
"ratio": 4.188102056756053,
"config_test": false,
... |
import copy
from copy import deepcopy
import os
import os.path as op
import numpy as np
from .constants import FIFF
from .pick import pick_types, channel_type, pick_channels, pick_info
from .pick import _pick_data_channels, _pick_data_or_ica
from .meas_info import write_meas_info, anonymize_info
from .proj import se... | {
"repo_name": "alexandrebarachant/mne-python",
"path": "mne/io/base.py",
"copies": "1",
"size": "100287",
"license": "bsd-3-clause",
"hash": -7319110267273082000,
"line_mean": 40.5267080745,
"line_max": 104,
"alpha_frac": 0.5580583725,
"autogenerated": false,
"ratio": 4.204553077310079,
"config... |
import copy
from copy import deepcopy
import warnings
import os
import os.path as op
import numpy as np
from scipy import linalg
from .constants import FIFF
from .pick import pick_types, channel_type, pick_channels, pick_info
from .meas_info import write_meas_info
from .proj import setup_proj, activate_proj, _proj_e... | {
"repo_name": "matthew-tucker/mne-python",
"path": "mne/io/base.py",
"copies": "2",
"size": "86978",
"license": "bsd-3-clause",
"hash": 8195529986398320000,
"line_mean": 40.6561302682,
"line_max": 79,
"alpha_frac": 0.5583135965,
"autogenerated": false,
"ratio": 4.157250740846956,
"config_test":... |
from math import floor, ceil
import copy
from copy import deepcopy
import warnings
import os
import os.path as op
import numpy as np
from scipy.signal import hilbert
from scipy import linalg
from .constants import FIFF
from .pick import pick_types, channel_type, pick_channels
from .meas_info import write_meas_info
f... | {
"repo_name": "effigies/mne-python",
"path": "mne/io/base.py",
"copies": "1",
"size": "76744",
"license": "bsd-3-clause",
"hash": -4105570449554446000,
"line_mean": 40.0395721925,
"line_max": 79,
"alpha_frac": 0.5650344001,
"autogenerated": false,
"ratio": 4.093231639020748,
"config_test": fals... |
import copy
import os
import os.path as op
import numpy as np
from ..constants import FIFF
from ..open import fiff_open, _fiff_get_fid, _get_next_fname
from ..meas_info import read_meas_info
from ..tree import dir_tree_find
from ..tag import read_tag, read_tag_info
from ..base import (BaseRaw, _RawShell, _check_raw_... | {
"repo_name": "jaeilepp/mne-python",
"path": "mne/io/fiff/raw.py",
"copies": "1",
"size": "20497",
"license": "bsd-3-clause",
"hash": 7960743583105839000,
"line_mean": 41.7912317328,
"line_max": 79,
"alpha_frac": 0.5006098453,
"autogenerated": false,
"ratio": 4.343504979868616,
"config_test": f... |
import copy
import warnings
import os
import os.path as op
import numpy as np
from ..constants import FIFF
from ..open import fiff_open, _fiff_get_fid, _get_next_fname
from ..meas_info import read_meas_info
from ..tree import dir_tree_find
from ..tag import read_tag, read_tag_info
from ..proj import make_eeg_average... | {
"repo_name": "cmoutard/mne-python",
"path": "mne/io/fiff/raw.py",
"copies": "1",
"size": "20548",
"license": "bsd-3-clause",
"hash": 7820098324863419000,
"line_mean": 41.9874476987,
"line_max": 79,
"alpha_frac": 0.5172766206,
"autogenerated": false,
"ratio": 4.326805643293325,
"config_test": f... |
import copy
import warnings
import os
import os.path as op
import numpy as np
from ..constants import FIFF
from ..open import fiff_open, _fiff_get_fid
from ..meas_info import read_meas_info
from ..tree import dir_tree_find
from ..tag import read_tag, read_tag_info
from ..proj import make_eeg_average_ref_proj, _needs... | {
"repo_name": "Odingod/mne-python",
"path": "mne/io/fiff/raw.py",
"copies": "3",
"size": "21309",
"license": "bsd-3-clause",
"hash": -4175922781680299000,
"line_mean": 42.8456790123,
"line_max": 79,
"alpha_frac": 0.4898399737,
"autogenerated": false,
"ratio": 4.427384167878662,
"config_test": f... |
from copy import deepcopy
from contextlib import contextmanager
import os
import os.path as op
import numpy as np
from ._compute_forward import _compute_forwards
from ..io import read_info, _loc_to_coil_trans, _loc_to_eeg_loc, Info
from ..io.pick import _has_kit_refs, pick_types, pick_info
from ..io.constants import... | {
"repo_name": "adykstra/mne-python",
"path": "mne/forward/_make_forward.py",
"copies": "1",
"size": "31134",
"license": "bsd-3-clause",
"hash": 6582302937795728000,
"line_mean": 38.0639899624,
"line_max": 79,
"alpha_frac": 0.5902229074,
"autogenerated": false,
"ratio": 3.605558772437753,
"confi... |
from copy import deepcopy
import os
from os import path as op
import numpy as np
from ..io import read_info, _loc_to_coil_trans, _loc_to_eeg_loc, Info
from ..io.pick import _has_kit_refs, pick_types, pick_info
from ..io.constants import FIFF
from ..transforms import (_ensure_trans, transform_surface_to, apply_trans,
... | {
"repo_name": "jaeilepp/mne-python",
"path": "mne/forward/_make_forward.py",
"copies": "1",
"size": "30906",
"license": "bsd-3-clause",
"hash": 781051079625700400,
"line_mean": 39.7193675889,
"line_max": 79,
"alpha_frac": 0.5943182554,
"autogenerated": false,
"ratio": 3.605459636024265,
"config... |
from ..externals.six import string_types
import os
from os import path as op
import numpy as np
from .. import pick_types, pick_info
from ..io.pick import _has_kit_refs
from ..io import read_info
from ..io.constants import FIFF
from .forward import Forward, write_forward_solution, _merge_meg_eeg_fwds
from ._compute_f... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/forward/_make_forward.py",
"copies": "1",
"size": "20653",
"license": "bsd-2-clause",
"hash": 8028633363826065000,
"line_mean": 40.306,
"line_max": 79,
"alpha_frac": 0.5675688762,
"autogenerated": false,
"ratio": 3.5431463372791216,
"config_test": fa... |
import numpy as np
from copy import deepcopy
from ..surface import (fast_cross_3d, _find_nearest_tri_pt, _get_tri_supp_geom,
_triangle_coords)
from ..io.constants import FIFF
from ..transforms import apply_trans
from ..utils import logger
from ..parallel import parallel_func
from ..io.compensat... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/forward/_compute_forward.py",
"copies": "3",
"size": "15075",
"license": "bsd-2-clause",
"hash": 1343935193578843100,
"line_mean": 42.1948424069,
"line_max": 79,
"alpha_frac": 0.5607296849,
"autogenerated": false,
"ratio": 3.2729049066435083,
"config... |
import os
from os import path as op
import numpy as np
from .. import pick_types, pick_info
from ..io.pick import _has_kit_refs
from ..io import read_info, _loc_to_coil_trans, _loc_to_eeg_loc
from ..io.meas_info import Info
from ..io.constants import FIFF
from .forward import Forward, write_forward_solution, _merge_m... | {
"repo_name": "rajegannathan/grasp-lift-eeg-cat-dog-solution-updated",
"path": "python-packages/mne-python-0.10/mne/forward/_make_forward.py",
"copies": "1",
"size": "23464",
"license": "bsd-3-clause",
"hash": 2376459768063260000,
"line_mean": 39.1780821918,
"line_max": 79,
"alpha_frac": 0.5890300034... |
import os
from os import path as op
import numpy as np
from .. import pick_types, pick_info
from ..io.pick import _has_kit_refs
from ..io import read_info
from ..io.constants import FIFF
from .forward import Forward, write_forward_solution, _merge_meg_eeg_fwds
from ._compute_forward import _compute_forwards
from ..tr... | {
"repo_name": "Odingod/mne-python",
"path": "mne/forward/_make_forward.py",
"copies": "3",
"size": "21670",
"license": "bsd-3-clause",
"hash": -4938249679524363000,
"line_mean": 40.1977186312,
"line_max": 79,
"alpha_frac": 0.5784956161,
"autogenerated": false,
"ratio": 3.564731041289686,
"confi... |
import os
from os import path as op
import numpy as np
from .. import pick_types, pick_info
from ..io.pick import _has_kit_refs
from ..io import read_info
from ..io.meas_info import Info
from ..io.constants import FIFF
from .forward import Forward, write_forward_solution, _merge_meg_eeg_fwds
from ._compute_forward im... | {
"repo_name": "leggitta/mne-python",
"path": "mne/forward/_make_forward.py",
"copies": "2",
"size": "24163",
"license": "bsd-3-clause",
"hash": 8103760211432005000,
"line_mean": 38.5466448445,
"line_max": 79,
"alpha_frac": 0.5868062741,
"autogenerated": false,
"ratio": 3.588209088209088,
"confi... |
import os
from os import path as op
import numpy as np
from ..io import read_info, _loc_to_coil_trans, _loc_to_eeg_loc, Info
from ..io.pick import _has_kit_refs, pick_types, pick_info
from ..io.constants import FIFF
from ..transforms import (_ensure_trans, transform_surface_to, apply_trans,
... | {
"repo_name": "cmoutard/mne-python",
"path": "mne/forward/_make_forward.py",
"copies": "1",
"size": "24024",
"license": "bsd-3-clause",
"hash": 4066876780362700000,
"line_mean": 38.7748344371,
"line_max": 79,
"alpha_frac": 0.5988594739,
"autogenerated": false,
"ratio": 3.545977859778598,
"confi... |
from .externals.six import string_types
import os
import copy
from math import ceil
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import csr_matrix, coo_matrix
import warnings
from ._hdf5 import read_hdf5, write_hdf5
from .filter import resample
from .evoked import _get_peak
from .parallel imp... | {
"repo_name": "matthew-tucker/mne-python",
"path": "mne/source_estimate.py",
"copies": "4",
"size": "109211",
"license": "bsd-3-clause",
"hash": 5651543745874711000,
"line_mean": 36.9204861111,
"line_max": 79,
"alpha_frac": 0.5756654549,
"autogenerated": false,
"ratio": 4.068509481056513,
"conf... |
import copy
import os
from math import ceil
import warnings
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import coo_matrix
from .filter import resample
from .evoked import _get_peak
from .parallel import parallel_func
from .surface import (read_surface, _get_ico_surface, read_morph_map,
... | {
"repo_name": "ARudiuk/mne-python",
"path": "mne/source_estimate.py",
"copies": "1",
"size": "110601",
"license": "bsd-3-clause",
"hash": 2769722458686169000,
"line_mean": 37.2702422145,
"line_max": 81,
"alpha_frac": 0.5775445068,
"autogenerated": false,
"ratio": 4.072801590808661,
"config_test... |
import copy
import os.path as op
from math import ceil
import warnings
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import coo_matrix, block_diag as sparse_block_diag
from .filter import resample
from .evoked import _get_peak
from .parallel import parallel_func
from .surface import (read_sur... | {
"repo_name": "nicproulx/mne-python",
"path": "mne/source_estimate.py",
"copies": "2",
"size": "113445",
"license": "bsd-3-clause",
"hash": 2139192372025843200,
"line_mean": 37.9310226493,
"line_max": 81,
"alpha_frac": 0.575503548,
"autogenerated": false,
"ratio": 4.050160656908247,
"config_tes... |
import copy
import os.path as op
from math import ceil
import warnings
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import coo_matrix
from .filter import resample
from .evoked import _get_peak
from .parallel import parallel_func
from .surface import (read_surface, _get_ico_surface, read_morp... | {
"repo_name": "alexandrebarachant/mne-python",
"path": "mne/source_estimate.py",
"copies": "2",
"size": "114461",
"license": "bsd-3-clause",
"hash": 9144839998377753000,
"line_mean": 37.7477995938,
"line_max": 81,
"alpha_frac": 0.5775679052,
"autogenerated": false,
"ratio": 4.093448251198055,
"... |
import copy
import os.path as op
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import coo_matrix, block_diag as sparse_block_diag
from .filter import resample
from .fixes import einsum
from .evoked import _get_peak
from .surface import read_surface, _get_ico_surface, mesh_edges
from .source_sp... | {
"repo_name": "adykstra/mne-python",
"path": "mne/source_estimate.py",
"copies": "1",
"size": "101396",
"license": "bsd-3-clause",
"hash": -467179561408181950,
"line_mean": 36.3741245853,
"line_max": 89,
"alpha_frac": 0.5756834589,
"autogenerated": false,
"ratio": 4.102443761126396,
"config_tes... |
import os
import copy
from math import ceil
import warnings
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import coo_matrix
from .filter import resample
from .evoked import _get_peak
from .parallel import parallel_func
from .surface import (read_surface, _get_ico_surface, read_morph_map,
... | {
"repo_name": "yousrabk/mne-python",
"path": "mne/source_estimate.py",
"copies": "2",
"size": "109254",
"license": "bsd-3-clause",
"hash": 8607829034368000000,
"line_mean": 37.2542016807,
"line_max": 81,
"alpha_frac": 0.5760979003,
"autogenerated": false,
"ratio": 4.076641791044776,
"config_tes... |
import os
import copy
from math import ceil
import warnings
import numpy as np
from scipy import linalg, sparse
from scipy.sparse import csr_matrix, coo_matrix
from .filter import resample
from .evoked import _get_peak
from .parallel import parallel_func
from .surface import (read_surface, _get_ico_surface, read_mor... | {
"repo_name": "andyh616/mne-python",
"path": "mne/source_estimate.py",
"copies": "4",
"size": "109226",
"license": "bsd-3-clause",
"hash": 8603278841697452000,
"line_mean": 36.9784422809,
"line_max": 81,
"alpha_frac": 0.5762547379,
"autogenerated": false,
"ratio": 4.066947164612578,
"config_tes... |
from copy import deepcopy
import re
import numpy as np
from .constants import FIFF
from ..utils import logger, verbose
from ..externals.six import string_types
def channel_type(info, idx):
"""Get channel type
Parameters
----------
info : dict
Measurement info
idx : int
Index of... | {
"repo_name": "jmontoyam/mne-python",
"path": "mne/io/pick.py",
"copies": "2",
"size": "25170",
"license": "bsd-3-clause",
"hash": -4598849493791500300,
"line_mean": 33.3383356071,
"line_max": 79,
"alpha_frac": 0.5820023838,
"autogenerated": false,
"ratio": 3.6215827338129496,
"config_test": fa... |
from copy import deepcopy
import re
import numpy as np
from .constants import FIFF
from ..utils import logger, verbose, _validate_type
from ..externals.six import string_types
from .compensator import get_current_comp
def get_channel_types():
"""Return all known channel types.
Returns
-------
chan... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/io/pick.py",
"copies": "2",
"size": "29062",
"license": "bsd-3-clause",
"hash": 4052709841231952000,
"line_mean": 34.7466174662,
"line_max": 79,
"alpha_frac": 0.5792099649,
"autogenerated": false,
"ratio": 3.656517362858581,
"config_test": fal... |
from ..externals.six import string_types
from time import time
import warnings
from copy import deepcopy
import re
import numpy as np
from scipy import linalg, sparse
import shutil
import os
from os import path as op
import tempfile
from ..fixes import sparse_block_diag
from ..io.constants import FIFF
from ..io.ope... | {
"repo_name": "leggitta/mne-python",
"path": "mne/forward/forward.py",
"copies": "2",
"size": "61900",
"license": "bsd-3-clause",
"hash": -1600815466851406300,
"line_mean": 36.0880766926,
"line_max": 79,
"alpha_frac": 0.5735702746,
"autogenerated": false,
"ratio": 3.682989230677694,
"config_tes... |
from ..externals.six import string_types
import os
from warnings import warn
import logging
import numpy as np
from scipy import optimize, linalg
from ..io import Raw
from ..io.constants import FIFF
from ..utils import logger, verbose
from ..externals.six.moves import map
from ..externals.six.moves import zip
@ver... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/preprocessing/maxfilter.py",
"copies": "1",
"size": "8901",
"license": "bsd-2-clause",
"hash": -5244925377674923000,
"line_mean": 29.1728813559,
"line_max": 79,
"alpha_frac": 0.5861139198,
"autogenerated": false,
"ratio": 3.547628537265843,
"config_t... |
from ..externals.six import string_types
import os
from warnings import warn
from ..bem import fit_sphere_to_headshape
from ..io import Raw
from ..utils import logger, verbose
from ..externals.six.moves import map
def _mxwarn(msg):
warn('Possible MaxFilter bug: %s, more info: '
'http://imaging.mrc-cbu... | {
"repo_name": "yousrabk/mne-python",
"path": "mne/preprocessing/maxfilter.py",
"copies": "16",
"size": "6664",
"license": "bsd-3-clause",
"hash": 9040706223920036000,
"line_mean": 28.3568281938,
"line_max": 79,
"alpha_frac": 0.5832833133,
"autogenerated": false,
"ratio": 3.655512890839276,
"con... |
from ..externals.six import string_types
import os
from ..bem import fit_sphere_to_headshape
from ..io import Raw
from ..utils import logger, verbose, warn
from ..externals.six.moves import map
def _mxwarn(msg):
warn('Possible MaxFilter bug: %s, more info: '
'http://imaging.mrc-cbu.cam.ac.uk/meg/maxbu... | {
"repo_name": "alexandrebarachant/mne-python",
"path": "mne/preprocessing/maxfilter.py",
"copies": "5",
"size": "6656",
"license": "bsd-3-clause",
"hash": -2703067599587324400,
"line_mean": 28.4513274336,
"line_max": 79,
"alpha_frac": 0.5823317308,
"autogenerated": false,
"ratio": 3.6491228070175... |
from ..externals.six import string_types
import os
from ..bem import fit_sphere_to_headshape
from ..io import read_raw_fif
from ..utils import logger, verbose, warn
from ..externals.six.moves import map
def _mxwarn(msg):
"""Warn about a bug."""
warn('Possible MaxFilter bug: %s, more info: '
'http:... | {
"repo_name": "nicproulx/mne-python",
"path": "mne/preprocessing/maxfilter.py",
"copies": "7",
"size": "6744",
"license": "bsd-3-clause",
"hash": -1531095566293981200,
"line_mean": 32.3861386139,
"line_max": 79,
"alpha_frac": 0.5857058126,
"autogenerated": false,
"ratio": 3.627756858526089,
"co... |
from os import path
from .io.meas_info import Info
from . import pick_types
from .utils import logger, verbose
@verbose
def read_selection(name, fname=None, info=None, verbose=None):
"""Read channel selection from file
By default, the selections used in ``mne_browse_raw`` are supported.
Additional sele... | {
"repo_name": "wronk/mne-python",
"path": "mne/selection.py",
"copies": "2",
"size": "4123",
"license": "bsd-3-clause",
"hash": 4797488433213895000,
"line_mean": 34.5431034483,
"line_max": 79,
"alpha_frac": 0.5779772011,
"autogenerated": false,
"ratio": 3.9606147934678195,
"config_test": false,... |
from os import path
from .utils import logger, verbose
from .externals import six
@verbose
def read_selection(name, fname=None, verbose=None):
"""Read channel selection from file
By default, the selections used in mne_browse_raw are supported*.
Additional selections can be added by specifying a selecti... | {
"repo_name": "rajegannathan/grasp-lift-eeg-cat-dog-solution-updated",
"path": "python-packages/mne-python-0.10/mne/selection.py",
"copies": "12",
"size": "3297",
"license": "bsd-3-clause",
"hash": 6161068417359771000,
"line_mean": 28.7027027027,
"line_max": 79,
"alpha_frac": 0.602062481,
"autogene... |
from os import path
import numpy as np
from .io.meas_info import Info
from .io.pick import _pick_data_channels, pick_types
from .utils import logger, verbose, _get_stim_channel
_SELECTIONS = ['Vertex', 'Left-temporal', 'Right-temporal', 'Left-parietal',
'Right-parietal', 'Left-occipital', 'Right-occi... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/selection.py",
"copies": "8",
"size": "7124",
"license": "bsd-3-clause",
"hash": -6815879751023628000,
"line_mean": 36.4947368421,
"line_max": 79,
"alpha_frac": 0.5925042111,
"autogenerated": false,
"ratio": 3.4432092798453358,
"config_test": ... |
from time import time
from copy import deepcopy
import re
import numpy as np
from scipy import linalg, sparse
import shutil
import os
from os import path as op
import tempfile
from ..externals.six import string_types
from ..fixes import sparse_block_diag
from ..io import RawArray, Info
from ..io.constants import FI... | {
"repo_name": "wronk/mne-python",
"path": "mne/forward/forward.py",
"copies": "1",
"size": "64206",
"license": "bsd-3-clause",
"hash": 3642745983701160000,
"line_mean": 36.1993047509,
"line_max": 79,
"alpha_frac": 0.5767841012,
"autogenerated": false,
"ratio": 3.7010606409960802,
"config_test":... |
from time import time
from copy import deepcopy
import re
import numpy as np
from scipy import linalg, sparse
import shutil
import os
from os import path as op
import tempfile
from ..io import RawArray, Info
from ..io.constants import FIFF
from ..io.open import fiff_open
from ..io.tree import dir_tree_find
from ..i... | {
"repo_name": "adykstra/mne-python",
"path": "mne/forward/forward.py",
"copies": "1",
"size": "73416",
"license": "bsd-3-clause",
"hash": -6908250074983084000,
"line_mean": 37.1381818182,
"line_max": 79,
"alpha_frac": 0.5719597908,
"autogenerated": false,
"ratio": 3.7022692889561273,
"config_te... |
import copy as cp
from warnings import warn
import numpy as np
from .. import Epochs, compute_proj_evoked, compute_proj_epochs
from ..utils import logger, verbose
from .. import pick_types
from ..io import make_eeg_average_ref_proj
from .ecg import find_ecg_events
from .eog import find_eog_events
def _safe_del_key(... | {
"repo_name": "aestrivex/mne-python",
"path": "mne/preprocessing/ssp.py",
"copies": "10",
"size": "15371",
"license": "bsd-3-clause",
"hash": -1267283821230091000,
"line_mean": 37.5238095238,
"line_max": 79,
"alpha_frac": 0.5684730987,
"autogenerated": false,
"ratio": 3.728110599078341,
"config... |
import copy as cp
import numpy as np
from .. import Epochs, compute_proj_evoked, compute_proj_epochs
from ..utils import logger, verbose, warn
from .. import pick_types
from ..io import make_eeg_average_ref_proj
from .ecg import find_ecg_events
from .eog import find_eog_events
def _safe_del_key(dict_, key):
""... | {
"repo_name": "adykstra/mne-python",
"path": "mne/preprocessing/ssp.py",
"copies": "2",
"size": "14095",
"license": "bsd-3-clause",
"hash": 7401725843606110000,
"line_mean": 37.8292011019,
"line_max": 79,
"alpha_frac": 0.580844271,
"autogenerated": false,
"ratio": 3.52286928267933,
"config_test... |
import os
from ..bem import fit_sphere_to_headshape
from ..io import read_raw_fif
from ..utils import logger, verbose, warn
def _mxwarn(msg):
"""Warn about a bug."""
warn('Possible MaxFilter bug: %s, more info: '
'http://imaging.mrc-cbu.cam.ac.uk/meg/maxbugs' % msg)
@verbose
def apply_maxfilter(i... | {
"repo_name": "adykstra/mne-python",
"path": "mne/preprocessing/maxfilter.py",
"copies": "2",
"size": "6496",
"license": "bsd-3-clause",
"hash": 8663154861752854000,
"line_mean": 31.9746192893,
"line_max": 79,
"alpha_frac": 0.5808189655,
"autogenerated": false,
"ratio": 3.6129032258064515,
"con... |
class Bunch(dict):
""" Container object for datasets: dictionnary-like object that
exposes its keys as attributes.
"""
def __init__(self, **kwargs):
dict.__init__(self, kwargs)
self.__dict__ = self
FIFF = Bunch()
#
# Blocks
#
FIFF.FIFFB_ROOT = 999
FIFF.FIFFB_MEAS ... | {
"repo_name": "effigies/mne-python",
"path": "mne/io/constants.py",
"copies": "1",
"size": "31543",
"license": "bsd-3-clause",
"hash": 6718706133702382000,
"line_mean": 39.3363171355,
"line_max": 130,
"alpha_frac": 0.6449608471,
"autogenerated": false,
"ratio": 2.7519630082010123,
"config_test"... |
from .constants import FIFF
from .tag import find_tag, has_tag
from .write import (write_int, start_block, end_block, write_float_matrix,
write_name_list)
from ..utils import logger, verbose
def _transpose_named_matrix(mat, copy=True):
"""Transpose mat inplace (no copy)
"""
if copy is... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/io/matrix.py",
"copies": "21",
"size": "4495",
"license": "bsd-2-clause",
"hash": -6167395140400292000,
"line_mean": 33.5769230769,
"line_max": 78,
"alpha_frac": 0.5644048943,
"autogenerated": false,
"ratio": 3.500778816199377,
"config_test": false,
... |
from copy import deepcopy
from functools import partial
from gzip import GzipFile
import os
import os.path as op
import numpy as np
from scipy import sparse, linalg
from .io.constants import FIFF
from .io.meas_info import create_info
from .io.tree import dir_tree_find
from .io.tag import find_tag, read_tag
from .io.... | {
"repo_name": "adykstra/mne-python",
"path": "mne/source_space.py",
"copies": "1",
"size": "112168",
"license": "bsd-3-clause",
"hash": -5568063984520893000,
"line_mean": 37.8393351801,
"line_max": 79,
"alpha_frac": 0.5580557735,
"autogenerated": false,
"ratio": 3.581925594762893,
"config_test"... |
from ..externals.six import string_types, b
import time
import numpy as np
from scipy import linalg
import os.path as op
import re
import uuid
from .constants import FIFF
from ..utils import logger
from ..externals.jdcal import jcal2jd
from ..fixes import gzip_open
def _write(fid, data, kind, data_size, FIFFT_TYPE,... | {
"repo_name": "lorenzo-desantis/mne-python",
"path": "mne/io/write.py",
"copies": "7",
"size": "13510",
"license": "bsd-3-clause",
"hash": -476515912355469250,
"line_mean": 33.2025316456,
"line_max": 79,
"alpha_frac": 0.6151739452,
"autogenerated": false,
"ratio": 3.0345911949685536,
"config_te... |
from .externals.six import string_types
import numpy as np
import os
import os.path as op
from scipy import sparse, linalg
from copy import deepcopy
from .io.constants import FIFF
from .io.tree import dir_tree_find
from .io.tag import find_tag, read_tag
from .io.open import fiff_open
from .io.write import (start_bloc... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/source_space.py",
"copies": "1",
"size": "66141",
"license": "bsd-2-clause",
"hash": -3479399890655429600,
"line_mean": 36.7301768397,
"line_max": 79,
"alpha_frac": 0.566486748,
"autogenerated": false,
"ratio": 3.3611647525154997,
"config_test": fals... |
from .externals.six import string_types
import numpy as np
import os
import os.path as op
from scipy import sparse, linalg
from scipy.spatial.distance import cdist
from copy import deepcopy
from .io.constants import FIFF
from .io.tree import dir_tree_find
from .io.tag import find_tag, read_tag
from .io.open import fi... | {
"repo_name": "effigies/mne-python",
"path": "mne/source_space.py",
"copies": "1",
"size": "91787",
"license": "bsd-3-clause",
"hash": -885139108309329000,
"line_mean": 38.2252136752,
"line_max": 79,
"alpha_frac": 0.5546319196,
"autogenerated": false,
"ratio": 3.515127144607843,
"config_test": ... |
from ..externals.six import string_types
import numpy as np
import os.path as op
from io import BytesIO
from .tag import read_tag_info, read_tag, read_big, Tag
from .tree import make_dir_tree, dir_tree_find
from .constants import FIFF
from ..utils import logger, verbose
from ..externals import six
from ..fixes import... | {
"repo_name": "leggitta/mne-python",
"path": "mne/io/open.py",
"copies": "8",
"size": "8974",
"license": "bsd-3-clause",
"hash": -553902032226711040,
"line_mean": 34.7529880478,
"line_max": 79,
"alpha_frac": 0.5298640517,
"autogenerated": false,
"ratio": 3.9655324790101636,
"config_test": false... |
from ..externals.six import string_types
import numpy as np
import os.path as op
from io import BytesIO
from .tag import read_tag_info, read_tag, read_big, Tag
from .tree import make_dir_tree
from .constants import FIFF
from ..utils import logger, verbose
from ..externals import six
from ..fixes import gzip_open
de... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/io/open.py",
"copies": "3",
"size": "7266",
"license": "bsd-2-clause",
"hash": -3740282342758582300,
"line_mean": 33.4360189573,
"line_max": 79,
"alpha_frac": 0.5470685384,
"autogenerated": false,
"ratio": 3.9190938511326863,
"config_test": false,
... |
from functools import partial
import gzip
import os
import struct
import numpy as np
from scipy import sparse
from .constants import FIFF
from ..externals.jdcal import jd2jcal
##############################################################################
# HELPERS
class Tag(object):
"""Tag in FIF tree structu... | {
"repo_name": "adykstra/mne-python",
"path": "mne/io/tag.py",
"copies": "1",
"size": "19685",
"license": "bsd-3-clause",
"hash": 1894260548267902200,
"line_mean": 33.5350877193,
"line_max": 79,
"alpha_frac": 0.5607315215,
"autogenerated": false,
"ratio": 3.350068073519401,
"config_test": false,... |
from gzip import GzipFile
import os.path as op
import re
import time
import uuid
import numpy as np
from scipy import linalg
from .constants import FIFF
from ..utils import logger
from ..externals.jdcal import jcal2jd
from ..externals.six import string_types, b
def _write(fid, data, kind, data_size, FIFFT_TYPE, dt... | {
"repo_name": "jmontoyam/mne-python",
"path": "mne/io/write.py",
"copies": "3",
"size": "13710",
"license": "bsd-3-clause",
"hash": 6544728705681239000,
"line_mean": 33.4472361809,
"line_max": 79,
"alpha_frac": 0.6142231947,
"autogenerated": false,
"ratio": 3.0514133095926996,
"config_test": fa... |
from gzip import GzipFile
import os.path as op
import re
import time
import uuid
import numpy as np
from scipy import linalg, sparse
from .constants import FIFF
from ..utils import logger
from ..externals.jdcal import jcal2jd
from ..externals.six import string_types, b
# We choose a "magic" date to store (because ... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/io/write.py",
"copies": "3",
"size": "14850",
"license": "bsd-3-clause",
"hash": -4061799316663364600,
"line_mean": 34.1895734597,
"line_max": 79,
"alpha_frac": 0.6136026936,
"autogenerated": false,
"ratio": 3.0931056029993753,
"config_test": ... |
from ..utils._bunch import BunchConstNamed
FIFF = BunchConstNamed()
#
# FIFF version number in use
#
FIFF.FIFFC_MAJOR_VERSION = 1
FIFF.FIFFC_MINOR_VERSION = 4
FIFF.FIFFC_VERSION = FIFF.FIFFC_MAJOR_VERSION << 16 | FIFF.FIFFC_MINOR_VERSION
#
# Blocks
#
FIFF.FIFFB_ROOT = 999
FIFF.FIFFB_MEAS ... | {
"repo_name": "adykstra/mne-python",
"path": "mne/io/constants.py",
"copies": "1",
"size": "35690",
"license": "bsd-3-clause",
"hash": 8014628164070028000,
"line_mean": 39.4648526077,
"line_max": 130,
"alpha_frac": 0.6459792659,
"autogenerated": false,
"ratio": 2.7399048057730693,
"config_test"... |
from warnings import warn
from copy import deepcopy
import os.path as op
import numpy as np
from scipy import linalg
from ..externals.six import BytesIO, string_types
from datetime import datetime as dt
from .constants import FIFF
from .open import fiff_open
from .tree import dir_tree_find, copy_tree
from .tag import... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/io/meas_info.py",
"copies": "2",
"size": "29926",
"license": "bsd-2-clause",
"hash": 686380507858688100,
"line_mean": 34.2485276796,
"line_max": 79,
"alpha_frac": 0.5576755998,
"autogenerated": false,
"ratio": 3.4720965309200604,
"config_test": false... |
import copy as cp
import os
from math import floor, ceil
import warnings
import numpy as np
from scipy import linalg
from .io.write import start_file, end_file
from .io.proj import (make_projector, proj_equal, activate_proj,
_has_eeg_average_ref_proj)
from .io import fiff_open
from .io.pick imp... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/cov.py",
"copies": "2",
"size": "30259",
"license": "bsd-2-clause",
"hash": -8515077349450687000,
"line_mean": 32.4723451327,
"line_max": 79,
"alpha_frac": 0.5624772795,
"autogenerated": false,
"ratio": 3.5860393458165443,
"config_test": false,
"ha... |
import gzip
from functools import partial
import os
import struct
import numpy as np
from .constants import FIFF
from ..externals.six import text_type
from ..externals.jdcal import jd2jcal
##############################################################################
# HELPERS
class Tag(object):
"""Tag in FIF... | {
"repo_name": "nicproulx/mne-python",
"path": "mne/io/tag.py",
"copies": "2",
"size": "18734",
"license": "bsd-3-clause",
"hash": -4378031366273620500,
"line_mean": 33.4375,
"line_max": 79,
"alpha_frac": 0.5611722003,
"autogenerated": false,
"ratio": 3.408040749499727,
"config_test": false,
"... |
import gzip
import os
import struct
import numpy as np
from .constants import FIFF
from ..fixes import partial
from ..externals.six import text_type
from ..externals.jdcal import jd2jcal
##############################################################################
# HELPERS
class Tag(object):
"""Tag in FIF t... | {
"repo_name": "ARudiuk/mne-python",
"path": "mne/io/tag.py",
"copies": "5",
"size": "18731",
"license": "bsd-3-clause",
"hash": -3158081322780873000,
"line_mean": 33.3058608059,
"line_max": 79,
"alpha_frac": 0.5621162778,
"autogenerated": false,
"ratio": 3.412461286208781,
"config_test": false,... |
import numpy as np
import os
import os.path as op
from scipy import sparse, linalg
from copy import deepcopy
from .io.constants import FIFF
from .io.tree import dir_tree_find
from .io.tag import find_tag, read_tag
from .io.open import fiff_open
from .io.write import (start_block, end_block, write_int,
... | {
"repo_name": "cmoutard/mne-python",
"path": "mne/source_space.py",
"copies": "1",
"size": "101625",
"license": "bsd-3-clause",
"hash": 1008474284143660500,
"line_mean": 38.4966964633,
"line_max": 79,
"alpha_frac": 0.5584944649,
"autogenerated": false,
"ratio": 3.537120183773624,
"config_test":... |
import numpy as np
from .constants import FIFF
from .tag import Tag
from .tag import read_tag
from .write import write_id, start_block, end_block, _write
from ..utils import logger, verbose
def dir_tree_find(tree, kind):
"""Find nodes of the given kind from a directory tree structure.
Parameters
------... | {
"repo_name": "nicproulx/mne-python",
"path": "mne/io/tree.py",
"copies": "3",
"size": "4710",
"license": "bsd-3-clause",
"hash": 3195927263441305600,
"line_mean": 29.1923076923,
"line_max": 79,
"alpha_frac": 0.5165605096,
"autogenerated": false,
"ratio": 3.75,
"config_test": false,
"has_no_k... |
import os
import gzip
import numpy as np
from scipy import linalg
from .constants import FIFF
from ..externals.six import text_type
from ..externals.jdcal import jd2jcal
class Tag(object):
"""Tag in FIF tree structure
Parameters
----------
kind : int
Kind of Tag.
type_ : int
Ty... | {
"repo_name": "leggitta/mne-python",
"path": "mne/io/tag.py",
"copies": "1",
"size": "21202",
"license": "bsd-3-clause",
"hash": -5893482165427728000,
"line_mean": 40.0891472868,
"line_max": 79,
"alpha_frac": 0.4753796812,
"autogenerated": false,
"ratio": 3.9082027649769584,
"config_test": fals... |
import os
import gzip
import numpy as np
from .constants import FIFF
from ..externals.six import text_type
from ..externals.jdcal import jd2jcal
class Tag(object):
"""Tag in FIF tree structure
Parameters
----------
kind : int
Kind of Tag.
type_ : int
Type of Tag.
size : int... | {
"repo_name": "yousrabk/mne-python",
"path": "mne/io/tag.py",
"copies": "2",
"size": "21009",
"license": "bsd-3-clause",
"hash": 2554167143807372300,
"line_mean": 39.5579150579,
"line_max": 79,
"alpha_frac": 0.4794135847,
"autogenerated": false,
"ratio": 3.8704863669859986,
"config_test": false... |
import struct
import numpy as np
from .constants import FIFF
from .tag import Tag
from .tag import read_tag
from .write import write_id, start_block, end_block, _write
from ..utils import logger, verbose
def dir_tree_find(tree, kind):
"""Find nodes of the given kind from a directory tree structure
Paramete... | {
"repo_name": "matthew-tucker/mne-python",
"path": "mne/io/tree.py",
"copies": "11",
"size": "4708",
"license": "bsd-3-clause",
"hash": 3232144788061597700,
"line_mean": 28.6100628931,
"line_max": 79,
"alpha_frac": 0.5176295667,
"autogenerated": false,
"ratio": 3.790660225442834,
"config_test":... |
import struct
import os
import gzip
import numpy as np
from scipy import linalg
from .constants import FIFF
from ..externals.six import text_type
from ..externals.jdcal import jd2jcal
class Tag(object):
"""Tag in FIF tree structure
Parameters
----------
kind : int
Kind of Tag.
type_ : ... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/io/tag.py",
"copies": "1",
"size": "20254",
"license": "bsd-2-clause",
"hash": -2921942960587854300,
"line_mean": 40.250509165,
"line_max": 79,
"alpha_frac": 0.4759059939,
"autogenerated": false,
"ratio": 3.905514847666795,
"config_test": false,
"h... |
import warnings
from copy import deepcopy
from math import sqrt
import numpy as np
from scipy import linalg
from ..io.constants import FIFF
from ..io.open import fiff_open
from ..io.tag import find_tag
from ..io.matrix import (_read_named_matrix, _transpose_named_matrix,
write_named_matrix)
f... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/minimum_norm/inverse.py",
"copies": "1",
"size": "52251",
"license": "bsd-2-clause",
"hash": -8760192133908521000,
"line_mean": 35.5903361345,
"line_max": 100,
"alpha_frac": 0.5626686571,
"autogenerated": false,
"ratio": 3.795104590354445,
"config_te... |
class Bunch(dict):
""" Container object for datasets: dictionnary-like object that
exposes its keys as attributes.
"""
def __init__(self, **kwargs):
dict.__init__(self, kwargs)
self.__dict__ = self
class BunchConst(Bunch):
"""Class to prevent us from re-defining constants (D... | {
"repo_name": "aestrivex/mne-python",
"path": "mne/io/constants.py",
"copies": "13",
"size": "32102",
"license": "bsd-3-clause",
"hash": -4411552533866855400,
"line_mean": 39.3291457286,
"line_max": 130,
"alpha_frac": 0.6427013893,
"autogenerated": false,
"ratio": 2.775549022998444,
"config_tes... |
class Bunch(dict):
"""Dictionnary-like object thatexposes its keys as attributes."""
def __init__(self, **kwargs): # noqa: D102
dict.__init__(self, kwargs)
self.__dict__ = self
class BunchConst(Bunch):
"""Class to prevent us from re-defining constants (DRY)."""
def __setattr__(sel... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/io/constants.py",
"copies": "3",
"size": "34452",
"license": "bsd-3-clause",
"hash": 2132105449137655000,
"line_mean": 39.1538461538,
"line_max": 130,
"alpha_frac": 0.6439393939,
"autogenerated": false,
"ratio": 2.7493416327507783,
"config_tes... |
from collections import Counter
from copy import deepcopy
from datetime import datetime as dt
import os.path as op
import re
import numpy as np
from scipy import linalg
from .pick import channel_type
from .constants import FIFF
from .open import fiff_open
from .tree import dir_tree_find
from .tag import read_tag, fi... | {
"repo_name": "jaeilepp/mne-python",
"path": "mne/io/meas_info.py",
"copies": "1",
"size": "69655",
"license": "bsd-3-clause",
"hash": 6973021751705164000,
"line_mean": 37.271978022,
"line_max": 79,
"alpha_frac": 0.5605771301,
"autogenerated": false,
"ratio": 3.61562418894368,
"config_test": fa... |
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