Merge pull request #4983 from Opentrons/normalization

fix(protocols/normalization): update api level to 2.12

protoBuilds/normalization/normalization.ot2.apiv2.py.json

@@ -1,5 +1,5 @@
 {
-    "content": "metadata = {\n    'protocolName': 'Normalization',\n    'author': 'Opentrons <[email protected]>',\n    'source': 'Protocol Library',\n    'apiLevel': '2.2'\n    }\n\ntiprack_slots = ['1', '4', '7', '10']\n\n\ndef transpose_matrix(m):\n    return [[r[i] for r in reversed(m)] for i in range(len(m[0]))]\n\n\ndef flatten_matrix(m):\n    return [cell for row in m for cell in row]\n\n\ndef well_csv_to_list(csv_string):\n    \"\"\"\n    Takes a csv string and flattens it to a list, re-ordering to match\n    Opentrons well order convention (A1, B1, C1, ..., A2, B2, B2, ...)\n    \"\"\"\n    data = [\n        line.split(',')\n        for line in reversed(csv_string.split('\\n')) if line.strip()\n        if line\n    ]\n    if len(data[0]) > len(data):\n        # row length > column length ==> \"landscape\", so transpose\n        return flatten_matrix(transpose_matrix(data))\n    # \"portrait\"\n    return flatten_matrix(data)\n\n\ndef run(protocol):\n    [volumes_csv, pip_model, pip_mount, plate_type,\n     res_type, filter_tip, tip_reuse] = get_values(  # noqa: F821\n        'volumes_csv', 'pip_model', 'pip_mount', 'plate_type',\n         'res_type', 'filter_tip', 'tip_reuse')\n\n    # create labware\n    plate = protocol.load_labware(plate_type, '3')\n\n    reservoir = protocol.load_labware(res_type, '2')\n    source = reservoir.wells()[0]\n\n    pip_size = pip_model.split('_')[0][1:]\n\n    pip_size = '300' if pip_size == '50' else pip_size\n    tip_name = 'opentrons_96_tiprack_'+pip_size+'ul'\n    if filter_tip == 'yes':\n        pip_size = '200' if pip_size == '300' else pip_size\n        tip_name = 'opentrons_96_filtertiprack_'+pip_size+'ul'\n\n    tipracks = [protocol.load_labware(tip_name, slot)\n                for slot in tiprack_slots]\n\n    pipette = protocol.load_instrument(pip_model, pip_mount,\n                                       tip_racks=tipracks)\n\n    # create volumes list\n    volumes = [float(cell) for cell in well_csv_to_list(volumes_csv)]\n\n    for vol in volumes:\n        if vol < pipette.min_volume:\n            protocol.comment(\n                'WARNING: volume {} is below pipette\\'s minimum volume.'\n                .format(vol))\n\n    if tip_reuse == 'never':\n        pipette.pick_up_tip()\n\n    for vol, dest in zip(volumes, plate.wells()):\n        if vol > 0:\n            pipette.transfer(vol, source, dest, new_tip=tip_reuse)\n\n    if pipette.has_tip:\n        pipette.drop_tip()\n",
+    "content": "metadata = {\n    'protocolName': 'Normalization',\n    'author': 'Opentrons <[email protected]>',\n    'source': 'Protocol Library',\n    'apiLevel': '2.12'\n    }\n\ntiprack_slots = ['1', '4', '7', '10']\n\n\ndef transpose_matrix(m):\n    return [[r[i] for r in reversed(m)] for i in range(len(m[0]))]\n\n\ndef flatten_matrix(m):\n    return [cell for row in m for cell in row]\n\n\ndef well_csv_to_list(csv_string):\n    \"\"\"\n    Takes a csv string and flattens it to a list, re-ordering to match\n    Opentrons well order convention (A1, B1, C1, ..., A2, B2, B2, ...)\n    \"\"\"\n    data = [\n        line.split(',')\n        for line in reversed(csv_string.split('\\n')) if line.strip()\n        if line\n    ]\n    if len(data[0]) > len(data):\n        # row length > column length ==> \"landscape\", so transpose\n        return flatten_matrix(transpose_matrix(data))\n    # \"portrait\"\n    return flatten_matrix(data)\n\n\ndef run(protocol):\n    [volumes_csv, pip_model, pip_mount, plate_type,\n     res_type, filter_tip, tip_reuse] = get_values(  # noqa: F821\n        'volumes_csv', 'pip_model', 'pip_mount', 'plate_type',\n         'res_type', 'filter_tip', 'tip_reuse')\n\n    # create labware\n    plate = protocol.load_labware(plate_type, '3')\n\n    reservoir = protocol.load_labware(res_type, '2')\n    source = reservoir.wells()[0]\n\n    pip_size = pip_model.split('_')[0][1:]\n\n    pip_size = '300' if pip_size == '50' else pip_size\n    tip_name = 'opentrons_96_tiprack_'+pip_size+'ul'\n    if filter_tip == 'yes':\n        pip_size = '200' if pip_size == '300' else pip_size\n        tip_name = 'opentrons_96_filtertiprack_'+pip_size+'ul'\n\n    tipracks = [protocol.load_labware(tip_name, slot)\n                for slot in tiprack_slots]\n\n    pipette = protocol.load_instrument(pip_model, pip_mount,\n                                       tip_racks=tipracks)\n\n    # create volumes list\n    volumes = [float(cell) for cell in well_csv_to_list(volumes_csv)]\n\n    for vol in volumes:\n        if vol < pipette.min_volume:\n            protocol.comment(\n                'WARNING: volume {} is below pipette\\'s minimum volume.'\n                .format(vol))\n\n    if tip_reuse == 'never':\n        pipette.pick_up_tip()\n\n    for vol, dest in zip(volumes, plate.wells()):\n        if vol > 0:\n            pipette.transfer(vol, source, dest, new_tip=tip_reuse)\n\n    if pipette.has_tip:\n        pipette.drop_tip()\n",
     "custom_labware_defs": [],
     "fields": [
         {
@@ -198,7 +198,7 @@
         }
     ],
     "metadata": {
-        "apiLevel": "2.2",
+        "apiLevel": "2.12",
         "author": "Opentrons <[email protected]>",
         "protocolName": "Normalization",
         "source": "Protocol Library"

protocols/normalization/normalization.ot2.apiv2.py

@@ -2,7 +2,7 @@
     'protocolName': 'Normalization',
     'author': 'Opentrons <[email protected]>',
     'source': 'Protocol Library',
-    'apiLevel': '2.2'
+    'apiLevel': '2.12'
     }
 
 tiprack_slots = ['1', '4', '7', '10']