prompt large_stringlengths 72 9.34k | completion large_stringlengths 0 7.61k |
|---|---|
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | labels = string.split(
'id zb zbmin zbmax tb odds zb2 zb2min zb2max tb2 odds2 zb3 zb3min zb3max tb3 odds3 zml tml chisq') |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | print('N_PEAKS = %d!?' % npeaks)
sys.exit(1) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | if read:
break |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | break |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | read = 1 |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | ilabel += 1
label = string.split(line)[-1]
if ilabel >= 10:
labels.append(labelnicks.get(label, label)) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | labels.append(labelnicks.get(label, label)) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | data = loaddata(inroot + '.flux_comparison+')
#nf = 6
nf = old_div((len(data) - 5), 3)
# id M0 zb tb*3
id = data[0]
ft = data[5:5 + nf] # FLUX (from spectrum for that TYPE)
fo = data[5 + nf:5 + 2 * nf] # FLUX (OBSERVED)
efo = data[5 + 2 * nf:5 + 3 * nf] # FLUX_ERROR (OBSERVED)
... |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | mybpz.add('stel', mycat.stel) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | mybpz.add('stel', mycat.stellarity) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | mybpz.add('sig', mycat.maxsigisoaper) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | mybpz.assign('sig', mycat.maxsigisoaper) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | if 'zspec' in mycat.labels:
mybpz.add('zspec', mycat.zspec)
print(mycat.zspec)
if 'zqual' in mycat.labels:
mybpz.add('zqual', mycat.zqual) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | mybpz.add('zspec', mycat.zspec)
print(mycat.zspec)
if 'zqual' in mycat.labels:
mybpz.add('zqual', mycat.zqual) |
<|file_name|>bpzfinalize.py<|end_file_name|><｜fim▁begin｜>from __future__ import print_function
from __future__ import division
# python bpzchisq2run.py ACS-Subaru
# PRODUCES ACS-Subaru_bpz.cat
# ADDS A FEW THINGS TO THE BPZ CATALOG
# INCLUDING chisq2 AND LABEL HEADERS
# ~/p/bpzchisq2run.py NOW INCLUDED!
# ~/Tonetti/c... | mybpz.add('zqual', mycat.zqual) |
<|file_name|>annotate_trees.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
import sys
import os
from treestore import Treestore
try: taxonomy = sys.argv[1]
except: taxonomy = None
<｜fim▁hole｜>t = Treestore()
treebase_uri = 'http://purl.org/phylo/treebase/phylows/tree/%s'
tree_files = [x for x in os.listdir('... | |
<|file_name|>annotate_trees.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
import sys
import os
from treestore import Treestore
try: taxonomy = sys.argv[1]
except: taxonomy = None
t = Treestore()
treebase_uri = 'http://purl.org/phylo/treebase/phylows/tree/%s'
tree_files = [x for x in os.listdir('trees') if ... | continue |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | op.print_help()
sys.exit(-1)
else: |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | sys.exit(-1) |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | print('Some initial condition option must be specified; --initial-preimage, --initial. However, {0} of those were specified.'.format(num_initial_conditions_specified))
op.print_help()
sys.exit(-1) |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | try:
options.initial_preimage = np.array(ast.literal_eval(options.initial_preimage))
expected_shape = (options.embedding_dimension,)
if options.initial_preimage.shape != expected_shape:
raise ValueError('--initial-preimage value had the wrong number of components (got {0} but exp... |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | raise ValueError('--initial-preimage value had the wrong number of components (got {0} but expected {1}).'.format(options.initial_preimage.shape, expected_shape)) |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | try:
options.initial = heisenberg.util.csv_as_ndarray(heisenberg.util.pop_brackets_off_of(options.initial), float)
expected_shape = (6,)
if options.initial.shape != expected_shape:
raise ValueError('--initial value had the wrong number of components (got {0} but expected {1}).'.f... |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | raise ValueError('--initial value had the wrong number of components (got {0} but expected {1}).'.format(options.initial.shape, expected_shape)) |
<|file_name|>__main__.py<|end_file_name|><｜fim▁begin｜>import ast
import heisenberg.library.heisenberg_dynamics_context
import heisenberg.library.orbit_plot
import heisenberg.option_parser
import heisenberg.plot
import heisenberg.util
import matplotlib
import numpy as np
import sys
# https://github.com/matplotlib/matpl... | assert False, 'this should never happen because of the check with num_initial_conditions_specified' |
<|file_name|>shared_armor_composite_helmet.py<|end_file_name|><｜fim▁begin｜>#### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Static()
<｜fim▁hole｜> result.template = "... | |
<|file_name|>shared_armor_composite_helmet.py<|end_file_name|><｜fim▁begin｜>#### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
<|fim_middle|>
<｜fim▁end｜> | result = Static()
result.template = "object/static/item/shared_armor_composite_helmet.iff"
result.attribute_template_id = -1
result.stfName("obj_n","unknown_object")
#### BEGIN MODIFICATIONS ####
#### END MODIFICATIONS ####
return result |
<|file_name|>shared_armor_composite_helmet.py<|end_file_name|><｜fim▁begin｜>#### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def <|fim_middle|>(kernel):
result = Static()
result.template = "obj... | create |
<|file_name|>create.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜># You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR ... | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License. |
<|file_name|>create.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | """Cloud Spanner databases create command."""
@staticmethod
def Args(parser):
"""Args is called by calliope to gather arguments for this command.
Please add arguments in alphabetical order except for no- or a clear-
pair for that argument which can follow the argument itself.
Args:
parser:... |
<|file_name|>create.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | """Args is called by calliope to gather arguments for this command.
Please add arguments in alphabetical order except for no- or a clear-
pair for that argument which can follow the argument itself.
Args:
parser: An argparse parser that you can use to add arguments that go
on the comman... |
<|file_name|>create.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | """This is what gets called when the user runs this command.
Args:
args: an argparse namespace. All the arguments that were provided to this
command invocation.
Returns:
Some value that we want to have printed later.
"""
op = databases.Create(
args.instance, args.databa... |
<|file_name|>create.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | return op |
<|file_name|>create.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | Args |
<|file_name|>create.py<|end_file_name|><｜fim▁begin｜># Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | Run |
<|file_name|>_minexponent.py<|end_file_name|><｜fim▁begin｜>import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="minexponent", parent_name="choropleth.colorbar", **kwargs
):
super(MinexponentValidator, self... | edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0), |
<|file_name|>_minexponent.py<|end_file_name|><｜fim▁begin｜>import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
<|fim_middle|>
<｜fim▁end｜> | def __init__(
self, plotly_name="minexponent", parent_name="choropleth.colorbar", **kwargs
):
super(MinexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.p... |
<|file_name|>_minexponent.py<|end_file_name|><｜fim▁begin｜>import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="minexponent", parent_name="choropleth.colorbar", **kwargs
):
<|fim_middle|>
<｜fim▁end｜> | super(MinexponentValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_type", "colorbars"),
min=kwargs.pop("min", 0),
**kwargs
) |
<|file_name|>_minexponent.py<|end_file_name|><｜fim▁begin｜>import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def <|fim_middle|>(
self, plotly_name="minexponent", parent_name="choropleth.colorbar", **kwargs
):
super(MinexponentValidator... | __init__ |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | input = {layer: theano.tensor.matrix()}
assert layer.get_output(input) is input[layer]
def test_input_var_name(self, layer): |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
<|fim_middle|>
<｜fim▁end｜> | @pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndim == 2
def test_get_output_shape(self, layer):
assert layer.get_output_shape() == (3, 2)
def test_get_o... |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
<|fim_middle|>
def test_input_var(self, layer):
assert layer.input_var.ndim == 2
def test_get_output_shape(self, layer):
as... | from lasagne.layers.input import InputLayer
return InputLayer((3, 2)) |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
<|fim_middle|>
def t... | assert layer.input_var.ndim == 2 |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | assert layer.get_output_shape() == (3, 2) |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | assert layer.get_output() is layer.input_var |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | variable = theano.Variable("myvariable")
assert layer.get_output(variable) is variable |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | input = [[1,2,3]]
output = layer.get_output(input)
assert numpy.all(output.eval() == input) |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | input = {layer: theano.tensor.matrix()}
assert layer.get_output(input) is input[layer] |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | assert layer.input_var.name == "input" |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | from lasagne.layers.input import InputLayer
layer = InputLayer((3, 2), name="foo")
assert layer.input_var.name == "foo.input" |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def <|fim_middle|>(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.inpu... | layer |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def <|fim_middle|>(self, layer):
assert layer.input_var.ndi... | test_input_var |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | test_get_output_shape |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | test_get_output_without_arguments |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | test_get_output_input_is_variable |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | test_get_output_input_is_array |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | test_get_output_input_is_a_mapping |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | test_input_var_name |
<|file_name|>test_input.py<|end_file_name|><｜fim▁begin｜>import numpy
import pytest
import theano
class TestInputLayer:
@pytest.fixture
def layer(self):
from lasagne.layers.input import InputLayer
return InputLayer((3, 2))
def test_input_var(self, layer):
assert layer.input_var.ndi... | test_named_layer_input_var_name |
<|file_name|>t001_basic.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
from runtest import TestBase
class TestCase(TestBase):
def __init__(self):
TestBase.__init__(self, 'abc', """
# DURATION TID FUNCTION
62.202 us [28141] | __cxa_atexit();
[28141] | main() {
[28141... | |
<|file_name|>t001_basic.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
from runtest import TestBase
class TestCase(TestBase):
<|fim_middle|>
<｜fim▁end｜> | def __init__(self):
TestBase.__init__(self, 'abc', """
# DURATION TID FUNCTION
62.202 us [28141] | __cxa_atexit();
[28141] | main() {
[28141] | a() {
[28141] | b() {
[28141] | c() {
0.753 us [28141] | getpid();
1.430 us [2814... |
<|file_name|>t001_basic.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
from runtest import TestBase
class TestCase(TestBase):
def __init__(self):
<|fim_middle|>
<｜fim▁end｜> | TestBase.__init__(self, 'abc', """
# DURATION TID FUNCTION
62.202 us [28141] | __cxa_atexit();
[28141] | main() {
[28141] | a() {
[28141] | b() {
[28141] | c() {
0.753 us [28141] | getpid();
1.430 us [28141] | } /* c */
... |
<|file_name|>t001_basic.py<|end_file_name|><｜fim▁begin｜>#!/usr/bin/env python
from runtest import TestBase
class TestCase(TestBase):
def <|fim_middle|>(self):
TestBase.__init__(self, 'abc', """
# DURATION TID FUNCTION
62.202 us [28141] | __cxa_atexit();
[28141] | main() {
... | __init__ |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | 'sample_name':self.sample_name, |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
<|fim_middle|>
<｜fim▁end｜> | __tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id_seq'), primary_key=True)
analysis_id = Column(String(500))
experiment_id = Column(String(50))
sample_name_abbreviation = Column(String(500)) # equivalent to sample_name_abbrevi... |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | self.analysis_id=row_dict_I['analysis_id'];
self.experiment_id=row_dict_I['experiment_id'];
self.sample_name_abbreviation=row_dict_I['sample_name_abbreviation'];
self.sample_name=row_dict_I['sample_name'];
self.time_point=row_dict_I['time_point'];
self.analysis_type=row_d... |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | self.analysis_id=analysis_id_I
self.experiment_id=experiment_id_I
self.sample_name_abbreviation=sample_name_abbreviation_I
self.sample_name=sample_name_I
self.time_point=time_point_I
self.analysis_type=analysis_type_I
self.used_=used__I
self.comment_=comme... |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | return {'id':self.id,
'analysis_id':self.analysis_id,
'experiment_id':self.experiment_id,
'sample_name_abbreviation':self.sample_name_abbreviation,
'sample_name':self.sample_name,
'time_point':self.time_point,
'analysis_type':self.analy... |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | return json.dumps(self.__repr__dict__()) |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | __init__ |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | __set__row__ |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | __repr__dict__ |
<|file_name|>stage01_rnasequencing_analysis_postgresql_models.py<|end_file_name|><｜fim▁begin｜>from SBaaS_base.postgresql_orm_base import *
class data_stage01_rnasequencing_analysis(Base):
__tablename__ = 'data_stage01_rnasequencing_analysis'
id = Column(Integer, Sequence('data_stage01_rnasequencing_analysis_id... | __repr__json__ |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜><｜fim▁hole｜>from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
if offset == None:
offset = np.max(np.std(frames, axis=0)) * 3
if time == None:
... | import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
<|fim_middle|>
def plot_sca... | frames = np.asarray(frames)
if offset == None:
offset = np.max(np.std(frames, axis=0)) * 3
if time == None:
time = np.arange(frames.shape[0])
plt.plot(time, frames - np.mean(frames, axis=0) +
np.arange(frames.shape[1]) * offset, color=color, ls=linestyle) |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
... | '''
Plots a grid with scalpplots. Scalps contains the different scalps in the
rows, sensors contains the names for the columns of scalps, locs is a dict
that maps the sensor-names to locations.
Width determines the width of the grid that contains the plots. Cmap selects
a colormap, for example plt.cm.RdBu_... |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
... | offset = np.max(np.std(frames, axis=0)) * 3 |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
... | time = np.arange(frames.shape[0]) |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
... | width = int(min(8, np.ceil(np.sqrt(nscalps)))) |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
... | clim = [np.min(scalps), np.max(scalps)] |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
... | plt.title(titles[i]) |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def <|fim_middle|>(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
i... | plot_timeseries |
<|file_name|>plots.py<|end_file_name|><｜fim▁begin｜>import matplotlib.pyplot as plt
import numpy as np
import scalpplot
from scalpplot import plot_scalp
from positions import POS_10_5
from scipy import signal
def plot_timeseries(frames, time=None, offset=None, color='k', linestyle='-'):
frames = np.asarray(frames)
... | plot_scalpgrid |
<|file_name|>apps.py<|end_file_name|><｜fim▁begin｜># Copyright (c) 2016 nVentiveUX
#<｜fim▁hole｜># "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons... | # Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the |
<|file_name|>apps.py<|end_file_name|><｜fim▁begin｜># Copyright (c) 2016 nVentiveUX
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rig... | name = 'mystartupmanager.showcase' |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | def __init__(self, cr, uid, name, context=None):
super(report_account_common_horizontal, self).__init__(
cr, uid, name, context=context)
self.localcontext.update({
'get_left_lines': self.get_left_lines,
'get_right_lines': self.get_right_lines,
})
def ... |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | super(report_account_common_horizontal, self).__init__(
cr, uid, name, context=context)
self.localcontext.update({
'get_left_lines': self.get_left_lines,
'get_right_lines': self.get_right_lines,
}) |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | data = copy.deepcopy(data)
if data['form']['used_context'] is None:
data['form']['used_context'] = {}
data['form']['used_context'].update(
account_financial_report_horizontal_side=side)
return super(report_account_common_horizontal, self).get_lines(
da... |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | return self.get_lines(data, side='left') |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | return self.get_lines(data, side='right') |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | _inherit = 'report.account.report_financial'
_wrapped_report_class = report_account_common_horizontal |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | data['form']['used_context'] = {} |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | __init__ |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | get_lines |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | get_left_lines |
<|file_name|>report_financial.py<|end_file_name|><｜fim▁begin｜># -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# This module copyright (C) 2015 Therp BV (<http://therp.nl>).
#
# This program is free software: you... | get_right_lines |
<|file_name|>__init__.py<|end_file_name|><｜fim▁begin｜># coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.<｜fim▁hole｜>
from ._... | # Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# -------------------------------------------------------------------------- |
<|file_name|>bba880ef5bbd_add_is_loud_and_pronouns_columns_to_.py<|end_file_name|><｜fim▁begin｜>"""Add is_loud and pronouns columns to PanelApplicant
Revision ID: bba880ef5bbd
Revises: 8f8419ebcf27
Create Date: 2019-07-20 02:57:17.794469
"""
# revision identifiers, used by Alembic.
revision = 'bba880ef5bbd'
down_rev... | |
<|file_name|>bba880ef5bbd_add_is_loud_and_pronouns_columns_to_.py<|end_file_name|><｜fim▁begin｜>"""Add is_loud and pronouns columns to PanelApplicant
Revision ID: bba880ef5bbd
Revises: 8f8419ebcf27
Create Date: 2019-07-20 02:57:17.794469
"""
# revision identifiers, used by Alembic.
revision = 'bba880ef5bbd'
down_rev... | """Adds parenthesis around SQLite datetime defaults for utcnow."""
if column_info['default'] == "datetime('now', 'utc')":
column_info['default'] = utcnow_server_default |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.