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add bb5-tests (#197)
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* add bb5-tests

* remove gitlab-ci.yml

* remove duplicate mod files for bb5-tests and merge them into the 'tests' folder

* mod files info

* add license header

* update Makefile

* update readme
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ilkilic committed Aug 6, 2024
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16 changes: 15 additions & 1 deletion .compile_mod.sh
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#!/bin/sh

# Copyright 2012-2024 Blue Brain Project / EPFL

# 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/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 CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

set -e

INSTALL_DIR=$1
MOD_DIR=$2

cd ${INSTALL_DIR}

echo "Building mod files"
rm -rf x86_64
nrnivmodl ${MOD_DIR} >nrnivmodl.log 2>&1
26 changes: 26 additions & 0 deletions bluecellulab-bb5-tests/.compile_mod.sh
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#!/bin/sh

# Copyright 2024 Blue Brain Project / EPFL

# 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/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 CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

set -e

INSTALL_DIR=$1
MOD_DIR=$2

cd ${INSTALL_DIR}

echo "Building mod files"
rm -rf x86_64
nrnivmodl ${MOD_DIR} >nrnivmodl.log 2>&1
11 changes: 11 additions & 0 deletions bluecellulab-bb5-tests/.gitignore
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*.nrndat
bin
lib
share
.pytest_cache
.tox-info.json
.tox
.neurodamus
__pycache__
x86_64
nrnivmodl.log
26 changes: 26 additions & 0 deletions bluecellulab-bb5-tests/Makefile
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# Variables
PIP_INDEX_URL := https://pypi.python.org/simple
NEURON_MODULE_OPTIONS := '-nogui'
TESTS_DIR := tests
MECHANISMS_DIR := ./../tests/mechanisms/
PYTEST_OPTS := --numprocesses=auto --timeout=600 -vsx --forked

# Default rule (similar to 'testenv' in tox)
default: install_deps compile_mod run_lint run_tests

# Rule for installing dependencies (similar to 'deps' in tox)
install_deps:
python -m pip install --index-url $(PIP_INDEX_URL) -r test_requirements.txt

# Rule for compiling mod (similar to the first 'commands' in tox)
compile_mod:
chmod +x ./.compile_mod.sh
./.compile_mod.sh . $(MECHANISMS_DIR)

# Rule for running tests (similar to the second 'commands' in tox)
run_tests:
NEURON_MODULE_OPTIONS=$(NEURON_MODULE_OPTIONS) pytest $(TESTS_DIR) $(PYTEST_OPTS)

run_lint:
ruff check $(TESTS_DIR)
mypy $(TESTS_DIR) --ignore-missing-imports
60 changes: 60 additions & 0 deletions bluecellulab-bb5-tests/README.md
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# bluecellulab-bb5-tests

## Description

This folder contains tests for bluecellulab on the large circuits located on bb5. Please note that these tests are not directly usable as they are, due to dependencies.

## How to run locally

Simply clone the repository, install tox and type `tox` in the root directory of the repository.

## Continous Integration

This module will continue to be part of the continuous integration (CI) pipeline on GitLab until the end of the year. The scheduled CI tasks will run the tests for this module periodically until 2024.12.31. After this date, the tests will no longer be included in the CI pipeline.

## Mechanisms

The mechanisms for these tests have been merged into the [tests/mechanisms/](./../tests/mechanisms/) folder. Here is the list of mechanisms used for these tests. The original list is provided below, and files marked with an asterisk (*) were added to the tests folder as they were not already present:
- `Ca.mod`
- `CaDynamics_DC0.mod`
- `CaDynamics_E2.mod`
- `Ca_HVA.mod`
- `Ca_HVA2.mod`
- `Ca_LVAst.mod`
- `DetAMPANMDA.mod`
- `DetGABAAB.mod`
- `GluSynapse.mod`
- *`IN_Ih_Halnes2011.mod`
- *`IN_iT.mod`
- `Ih.mod`
- `Im.mod`
- `K_Pst.mod`
- `K_Tst.mod`
- `KdShu2007.mod`
- `NaTa_t.mod`
- `NaTg.mod`
- `NaTs2_t.mod`
- `Nap_Et2.mod`
- `ProbAMPANMDA_EMS.mod`
- `ProbGABAAB_EMS.mod`
- *`RC_IT_Des92.mod`
- `SK_E2.mod`
- `SKv3_1.mod`
- `StochKv.mod`
- `StochKv3.mod`
- *`TC_HH.mod`
- *`TC_ITGHK_Des98.mod`
- *`TC_Ih_Bud97.mod`
- *`TC_Ih_CaMod.mod`
- *`TC_Kleak.mod`
- *`TC_Naleak.mod`
- *`TC_Nap_Et2.mod`
- *`TC_cadecay.mod`
- *`TC_iA.mod`
- *`TC_iL.mod`
- *`TC_kir_Con15.mod`
- `TTXDynamicsSwitch.mod`
- `VecStim.mod`
- `gap.mod`
- *`ican.mod`
- `netstim_inhpoisson.mod`
5 changes: 5 additions & 0 deletions bluecellulab-bb5-tests/pytest.ini
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[pytest]
markers =
v5: tests on the neocortex circuit version 5.
v6: tests on the neocortex circuit version 6.
thal: tests on the thalamus circuit.
8 changes: 8 additions & 0 deletions bluecellulab-bb5-tests/pyvenv.cfg
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home = /gpfs/bbp.cscs.ch/ssd/apps/bsd/2022-01-10/stage_externals/install_gcc-11.2.0-skylake/python-3.9.7-yj5alh/bin
implementation = CPython
version_info = 3.9.7.final.0
virtualenv = 20.17.1
include-system-site-packages = false
base-prefix = /gpfs/bbp.cscs.ch/ssd/apps/bsd/2022-01-10/stage_externals/install_gcc-11.2.0-skylake/python-3.9.7-yj5alh
base-exec-prefix = /gpfs/bbp.cscs.ch/ssd/apps/bsd/2022-01-10/stage_externals/install_gcc-11.2.0-skylake/python-3.9.7-yj5alh
base-executable = /gpfs/bbp.cscs.ch/ssd/apps/bsd/2022-01-10/stage_externals/install_gcc-11.2.0-skylake/python-3.9.7-yj5alh/bin/python3.9
8 changes: 8 additions & 0 deletions bluecellulab-bb5-tests/test_requirements.txt
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bluepy-configfile>=0.1.18
bluepy[bbp]>=2.5.0
pytest
pytest-timeout
pytest-xdist
pytest-forked
ruff>=0.0.40
mypy>=1.2.0
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Run Default
{

MorphologyPath /bgscratch/bbp/l5/release/2012.07.23/morphologies/h5
METypePath ../circuit_twocell_example1/ccells/
MeshPath /bgscratch/bbp/l5/release/2012.07.23/meshes
CircuitPath ../circuit_twocell_example1
nrnPath ../circuit_twocell_example1/ncsFunctionalAllRecipePathways
TargetFile /bgscratch/bbp/l5/release/2012.07.23/circuit/SomatosensoryCxS1-v4.lowerCellDensity.r151/O1/merged_circuit/default_user.target
BioName SomatosensoryCxS1-v4.lowerCellDensity.r151
CentralHyperColumn 2

}

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begintemplate cADpyr231_L6_TPC_L1_6_dend_tkb060530a2_ch1_ct_n_ab_100x_1_axon_tkb060123a1_ch1_ct_b_hw_60x_1___Clone_1
public init, printInfo, delete_axon, getCell, init_biophys, insertChannel
public gid, CellRef, getThreshold, geom_nseg, gmechdistribute, biophys
objref this, CellRef, gmechdistribute

proc init() { local ind localobj strMorphName, strTmp, sf
strMorphName = new String("dend-tkb060530a2_ch1_ct_n_ab_100x_1_axon-tkb060123a1_ch1_ct_b_hw_60x_1_-_Clone_1.asc")
strTmp = new String()
sf = new StringFunctions()
if(numarg() == 2){
sscanf($s2, "%s", strTmp.s)
ind = sf.substr(strTmp.s, ".asc")
if((ind>0) && (ind == (sf.len(strTmp.s)-4))){
CellRef = new Cell($1, $s2)
}else{
sprint(strMorphName.s, "%s/%s", $s2, strMorphName.s)
CellRef = new Cell($1, strMorphName.s)
}
}
gmechdistribute = new TDistFunc()
CellRef.setCCell(this)
gid = CellRef.gid
geom_nseg() //This function is called to have count of actual axon sections
delete_axon()
insertChannel()
init_biophys()
biophys()
}

func getThreshold() { return 0.073042 }

proc geom_nseg() {
CellRef.geom_nseg_fixed(40)
CellRef.geom_nsec() //To count all sections
}

obfunc getCell(){
return CellRef
}

proc delete_axon(){
CellRef.delete_axon()
}

proc init_biophys() {
forsec CellRef.all { cm = 1.0 }
forsec CellRef.all { Ra = 100.0 }

CellRef.soma[0] distance()
}

proc insertChannel() {

}

proc biophys() {
CellRef.insertChannel("axonal","NaTa_t")
CellRef.insertChannel("axonal","Nap_Et2")
CellRef.insertChannel("axonal","K_Pst")
CellRef.insertChannel("axonal","K_Tst")
CellRef.insertChannel("axonal","SK_E2")
CellRef.insertChannel("axonal","SKv3_1")
CellRef.insertChannel("axonal","CaDynamics_E2")
CellRef.insertChannel("axonal","Ca_HVA")
CellRef.insertChannel("axonal","Ca_LVAst")
CellRef.insertChannel("somatic","NaTs2_t")
CellRef.insertChannel("somatic","SKv3_1")
CellRef.insertChannel("somatic","SK_E2")
CellRef.insertChannel("somatic","CaDynamics_E2")
CellRef.insertChannel("somatic","Ca_HVA")
CellRef.insertChannel("somatic","Ca_LVAst")
CellRef.insertChannel("apical","NaTs2_t")
CellRef.insertChannel("apical","SKv3_1")
CellRef.insertChannel("apical","Im")
CellRef.insertChannel("apical","Ih")
CellRef.insertChannel("basal","Ih")
CellRef.insertChannel("apical","Ih")
CellRef.insertChannel("somatic","Ih")
CellRef.insertChannel("all","pas")

{ CellRef.soma[0] distance() }
{ forsec CellRef.all { e_pas = -75 } }
{ forsec CellRef.all { g_pas = 3e-5 } }
{ forsec CellRef.all { cm = 1 } }
{ forsec CellRef.all { Ra = 100 } }
{ forsec CellRef.somatic { ek = -85 } }
{ forsec CellRef.somatic { ena = 50 } }
{ forsec CellRef.axonal { ek = -85 } }
{ forsec CellRef.axonal { ena = 50 } }
{ forsec CellRef.apical { ek = -85 } }
{ forsec CellRef.apical { ena = 50 } }
{ forsec CellRef.apical { cm = 2 } }
{ forsec CellRef.basal { cm = 2 } }
{ forsec CellRef.apical { cm = 2 } }
gmechdistribute.distribute(CellRef.axonal,"gNaTa_tbar_NaTa_t","( 0.000000 * %g + 1.000000 ) * 3.288755",1)
gmechdistribute.distribute(CellRef.axonal,"gNap_Et2bar_Nap_Et2","( 0.000000 * %g + 1.000000 ) * 0.000671",1)
gmechdistribute.distribute(CellRef.axonal,"gK_Pstbar_K_Pst","( 0.000000 * %g + 1.000000 ) * 0.957198",1)
gmechdistribute.distribute(CellRef.axonal,"gK_Tstbar_K_Tst","( 0.000000 * %g + 1.000000 ) * 0.029456",1)
gmechdistribute.distribute(CellRef.axonal,"gSK_E2bar_SK_E2","( 0.000000 * %g + 1.000000 ) * 0.098377",1)
gmechdistribute.distribute(CellRef.axonal,"gSKv3_1bar_SKv3_1","( 0.000000 * %g + 1.000000 ) * 1.936176",1)
gmechdistribute.distribute(CellRef.axonal,"gCa_HVAbar_Ca_HVA","( 0.000000 * %g + 1.000000 ) * 0.000684",1)
gmechdistribute.distribute(CellRef.axonal,"gCa_LVAstbar_Ca_LVAst","( 0.000000 * %g + 1.000000 ) * 0.000007",1)
gmechdistribute.distribute(CellRef.axonal,"gamma_CaDynamics_E2","( 0.000000 * %g + 1.000000 ) * 0.001734",1)
gmechdistribute.distribute(CellRef.axonal,"decay_CaDynamics_E2","( 0.000000 * %g + 1.000000 ) * 103.091390",1)
gmechdistribute.distribute(CellRef.somatic,"gNaTs2_tbar_NaTs2_t","( 0.000000 * %g + 1.000000 ) * 0.976885",1)
gmechdistribute.distribute(CellRef.somatic,"gSKv3_1bar_SKv3_1","( 0.000000 * %g + 1.000000 ) * 0.072929",1)
gmechdistribute.distribute(CellRef.somatic,"gSK_E2bar_SK_E2","( 0.000000 * %g + 1.000000 ) * 0.003869",1)
gmechdistribute.distribute(CellRef.somatic,"gCa_HVAbar_Ca_HVA","( 0.000000 * %g + 1.000000 ) * 0.000459",1)
gmechdistribute.distribute(CellRef.somatic,"gCa_LVAstbar_Ca_LVAst","( 0.000000 * %g + 1.000000 ) * 0.005592",1)
gmechdistribute.distribute(CellRef.somatic,"gamma_CaDynamics_E2","( 0.000000 * %g + 1.000000 ) * 0.000996",1)
gmechdistribute.distribute(CellRef.somatic,"decay_CaDynamics_E2","( 0.000000 * %g + 1.000000 ) * 873.498863",1)
gmechdistribute.distribute(CellRef.apical,"gNaTs2_tbar_NaTs2_t","( 0.000000 * %g + 1.000000 ) * 0.025690",1)
gmechdistribute.distribute(CellRef.apical,"gSKv3_1bar_SKv3_1","( 0.000000 * %g + 1.000000 ) * 0.039763",1)
gmechdistribute.distribute(CellRef.apical,"gImbar_Im","( 0.000000 * %g + 1.000000 ) * 0.001000",1)
gmechdistribute.distribute(CellRef.apical,"gIhbar_Ih","(-0.869600 + 2.087000*exp((%g - 0.000000) * 0.003100)) * 0.000080",1)
gmechdistribute.distribute(CellRef.somatic,"gIhbar_Ih","( 0.000000 * %g + 1.000000 ) * 0.000080",1)
gmechdistribute.distribute(CellRef.basal,"gIhbar_Ih","( 0.000000 * %g + 1.000000 ) * 0.000080",1)
gmechdistribute.distribute(CellRef.apical,"gIhbar_Ih","( 0.000000 * %g + 1.000000 ) * 0.000080",1)



}

public getHypAmp

func getHypAmp(){return (-0.019897) }

endtemplate cADpyr231_L6_TPC_L1_6_dend_tkb060530a2_ch1_ct_n_ab_100x_1_axon_tkb060123a1_ch1_ct_b_hw_60x_1___Clone_1
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