Issue with build_cutout using alite

Using my config.yaml file, I get an error in the build_cutout, which is related to alite

INFO:root:Preparing cutout with parameters {'module': ['sarah', 'era5'], 'x': slice(-12.0, 45.0, None), 'y': slice(33.0, 65, None), 'dx': 0.2, 'dy': 0.2, 'time': slice('2016-01-01', '2016-02-01', None), 'sarah_interpolate': False, 'sarah_dir': None, 'features': ['influx', 'temperature']}.
INFO:atlite.cutout:Building new cutout cutouts/europe-2013-sarah.nc
INFO:atlite.data:Storing temporary files in /tmp/tmpd4bvedp8
INFO:atlite.data:Calculating and writing with module sarah:
Traceback (most recent call last):
File "/home/ubuntu/pypsa-eur/.snakemake/scripts/tmpw6pc4v_v.build_cutout.py", line 134, in
cutout.prepare(features=features)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/atlite/data.py", line 102, in wrapper
res = func(*args, **kwargs)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/atlite/data.py", line 164, in cutout_prepare
ds = get_features(cutout, module, missing_features, tmpdir=tmpdir)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/atlite/data.py", line 46, in get_features
datasets = compute(datasets)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/dask/base.py", line 599, in compute
results = schedule(dsk, keys, **kwargs)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/dask/threaded.py", line 89, in get
results = get_async(
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/dask/local.py", line 511, in get_async
raise_exception(exc, tb)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/dask/local.py", line 319, in reraise
raise exc
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/dask/local.py", line 224, in execute_task
result = _execute_task(task, data)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/dask/core.py", line 119, in _execute_task
return func((_execute_task(a, cache) for a in args))
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/dask/utils.py", line 73, in apply
return func(args, kwargs)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/atlite/datasets/sarah.py", line 198, in get_data
files = get_filenames(sarah_dir, coords)
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/atlite/datasets/sarah.py", line 73, in get_filenames
dict(sis=_filenames_starting_with("SIS"), sid=_filenames_starting_with("SID")),
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/site-packages/atlite/datasets/sarah.py", line 62, in _filenames_starting_with
pattern = os.path.join(sarah_dir, "", f"{name}.nc")
File "/home/ubuntu/anaconda3/envs/pypsa-eur/lib/python3.10/posixpath.py", line 76, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType
[Mon Apr 17 15:44:37 2023]
Error in rule build_cutout:
jobid: 14
input: resources/regions_onshore.geojson, resources/regions_offshore.geojson
output: cutouts/europe-2013-sarah.nc
log: logs/build_cutout/europe-2013-sarah.log (check log file(s) for error details)

# SPDX-FileCopyrightText: : 2017-2023 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: CC0-1.0

version: 0.7.0
tutorial: false

logging:
  level: INFO
  format: '%(levelname)s:%(name)s:%(message)s'

run:
  name: "" # use this to keep track of runs with different settings
  shared_cutouts: false # set to true to share the default cutout(s) across runs


scenario:
  simpl: ['']
  ll: ['copt']
  clusters: [37]
  #clusters: [37, 128, 256, 512, 1024]
  opts: [Co2L-1H]
  #opts: [Co2L-3H]

countries: ['AL', 'AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'ME', 'MK', 'NL', 'NO', 'PL', 'PT', 'RO', 'RS', 'SE', 'SI', 'SK']

snapshots:
 # start: "2013-01-01"
  start: "2016-01-17"
  end: "2016-01-23"
  inclusive: 'left' # include start, not end

enable:
  prepare_links_p_nom: false
  retrieve_databundle: true
  retrieve_cost_data: true
  build_cutout: true
  #build_cutout: false
  retrieve_cutout: false
  #retrieve_cutout: true
  build_natura_raster: false
  retrieve_natura_raster: true
  custom_busmap: false

electricity:
  voltages: [220., 300., 380.]
  gaslimit: false # global gas usage limit of X MWh_th
  co2limit: 7.75e+7 # 0.05 * 3.1e9*0.5
  co2base: 1.487e+9
  agg_p_nom_limits: data/agg_p_nom_minmax.csv

  operational_reserve: # like https://genxproject.github.io/GenX/dev/core/#Reserves
    activate: false
    epsilon_load: 0.02 # share of total load
    epsilon_vres: 0.02 # share of total renewable supply
    contingency: 4000 # fixed capacity in MW

  max_hours:
    battery: 6
    H2: 168

  extendable_carriers:
    Generator: []
  #  Generator: [solar, onwind, offwind-ac, offwind-dc, OCGT]
    StorageUnit: [battery] # battery, H2
    Store: [battery, H2]
    Link: [] # H2 pipeline

  # use pandas query strings here, e.g. Country not in ['Germany']
  powerplants_filter: (DateOut >= 2022 or DateOut != DateOut)
  # use pandas query strings here, e.g. Country in ['Germany']
  custom_powerplants: false

  conventional_carriers: [nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass]
  renewable_carriers: [solar, onwind, offwind-ac, offwind-dc, hydro]

  estimate_renewable_capacities:
    enable: true
    # Add capacities from OPSD data
    from_opsd: true
    # Renewable capacities are based on existing capacities reported by IRENA
    year: 2020
    # Artificially limit maximum capacities to factor * (IRENA capacities),
    # i.e. 110% of <years>'s capacities => expansion_limit: 1.1
    # false: Use estimated renewable potentials determine by the workflow
    expansion_limit: false
    technology_mapping:
      # Wind is the Fueltype in powerplantmatching, onwind, offwind-{ac,dc} the carrier in PyPSA-Eur
      Offshore: [offwind-ac, offwind-dc]
      Onshore: [onwind]
      PV: [solar]

atlite:
  nprocesses: 4
  show_progress: false # false saves time
  cutouts:
    # use 'base' to determine geographical bounds and time span from config
    # base:
      # module: era5
    europe-2013-era5:
      module: era5 # in priority order
      x: [-12., 35.]
      y: [33., 72]
      dx: 0.3
      dy: 0.3
      time: ['2016-01-01', '2016-02-01']
      #time: ['2013', '2013']
    europe-2013-sarah:
      module: [sarah, era5] # in priority order
      x: [-12., 45.]
      y: [33., 65]
      dx: 0.2
      dy: 0.2
      time: ['2016-01-01', '2016-02-01']
     # time: ['2013', '2013']
      sarah_interpolate: false
      sarah_dir:
      features: [influx, temperature]


renewable:
  onwind:
    cutout: europe-2013-era5
    resource:
      method: wind
      turbine: Vestas_V112_3MW
    capacity_per_sqkm: 3 # ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 30% fraction of the already restricted
    # area is available for installation of wind generators due to competing land use and likely public
    # acceptance issues.
    # correction_factor: 0.93
    corine:
      # Scholz, Y. (2012). Renewable energy based electricity supply at low costs:
      #  development of the REMix model and application for Europe. ( p.42 / p.28)
      grid_codes: [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32]
      distance: 1000
      distance_grid_codes: [1, 2, 3, 4, 5, 6]
    natura: true
    excluder_resolution: 100
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  offwind-ac:
    cutout: europe-2013-era5
    resource:
      method: wind
      turbine: NREL_ReferenceTurbine_5MW_offshore
    capacity_per_sqkm: 2 # ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
    # area is available for installation of wind generators due to competing land use and likely public
    # acceptance issues.
    correction_factor: 0.8855
    # proxy for wake losses
    # from 10.1016/j.energy.2018.08.153
    # until done more rigorously in #153
    corine: [44, 255]
    natura: true
    ship_threshold: 400
    max_depth: 50
    max_shore_distance: 30000
    excluder_resolution: 200
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  offwind-dc:
    cutout: europe-2013-era5
    resource:
      method: wind
      turbine: NREL_ReferenceTurbine_5MW_offshore
    capacity_per_sqkm: 2 # ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
    # area is available for installation of wind generators due to competing land use and likely public
    # acceptance issues.
    correction_factor: 0.8855
    # proxy for wake losses
    # from 10.1016/j.energy.2018.08.153
    # until done more rigorously in #153
    corine: [44, 255]
    natura: true
    ship_threshold: 400
    max_depth: 50
    min_shore_distance: 30000
    excluder_resolution: 200
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  solar:
    cutout: europe-2013-sarah
    resource:
      method: pv
      panel: CSi
      orientation:
        slope: 35.
        azimuth: 180.
    capacity_per_sqkm: 1.7 # ScholzPhd Tab 4.3.1: 170 MW/km^2 and assuming 1% of the area can be used for solar PV panels
    # Correction factor determined by comparing uncorrected area-weighted full-load hours to those
    # published in Supplementary Data to
    # Pietzcker, Robert Carl, et al. "Using the sun to decarbonize the power
    # sector: The economic potential of photovoltaics and concentrating solar
    # power." Applied Energy 135 (2014): 704-720.
    # This correction factor of 0.854337 may be in order if using reanalysis data.
    # for discussion refer to https://github.com/PyPSA/pypsa-eur/pull/304
    # correction_factor: 0.854337
    corine: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 26, 31, 32]
    natura: true
    excluder_resolution: 100
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  hydro:
    cutout: europe-2013-era5
    carriers: [ror, PHS, hydro]
    PHS_max_hours: 6
    hydro_max_hours: "energy_capacity_totals_by_country" # one of energy_capacity_totals_by_country, estimate_by_large_installations or a float
    clip_min_inflow: 1.0

conventional:
  nuclear:
    p_max_pu: "data/nuclear_p_max_pu.csv" # float of file name

lines:
  types:
    220.: "Al/St 240/40 2-bundle 220.0"
    300.: "Al/St 240/40 3-bundle 300.0"
    380.: "Al/St 240/40 4-bundle 380.0"
  s_max_pu: 0.7
  s_nom_max: .inf
  length_factor: 1.25
  under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity

links:
  p_max_pu: 1.0
  p_nom_max: .inf
  include_tyndp: true
  under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity

transformers:
  x: 0.1
  s_nom: 2000.
  type: ''

load:
  power_statistics: true # only for files from <2019; set false in order to get ENTSOE transparency data
  interpolate_limit: 3 # data gaps up until this size are interpolated linearly
  time_shift_for_large_gaps: 1w # data gaps up until this size are copied by copying from
  manual_adjustments: true # false
  scaling_factor: 1.0

costs:
  year: 2030
  version: v0.5.0
  rooftop_share: 0.14  # based on the potentials, assuming  (0.1 kW/m2 and 10 m2/person)
  fill_values:
    FOM: 0
    VOM: 0
    efficiency: 1
    fuel: 0
    investment: 0
    lifetime: 25
    "CO2 intensity": 0
    "discount rate": 0.07
  marginal_cost:
    solar: 0.01
    onwind: 0.015
    offwind: 0.015
    hydro: 0.
    H2: 0.
    electrolysis: 0.
    fuel cell: 0.
    battery: 0.
    battery inverter: 0.
  emission_prices: # in currency per tonne emission, only used with the option Ep
    co2: 0.

clustering:
  simplify_network:
    to_substations: false # network is simplified to nodes with positive or negative power injection (i.e. substations or offwind connections)
    algorithm: kmeans # choose from: [hac, kmeans]
    feature: solar+onwind-time # only for hac. choose from: [solar+onwind-time, solar+onwind-cap, solar-time, solar-cap, solar+offwind-cap] etc.
    exclude_carriers: []
    remove_stubs: true
    remove_stubs_across_borders: true
  cluster_network:
    algorithm: kmeans
    feature: solar+onwind-time
    exclude_carriers: []
  aggregation_strategies:
    generators:
      p_nom_max: sum # use "min" for more conservative assumptions
      p_nom_min: sum
      p_min_pu: mean
      marginal_cost: mean
      committable: any
      ramp_limit_up: max
      ramp_limit_down: max
      efficiency: mean

solving:
  options:
    formulation: kirchhoff
    load_shedding: false
    noisy_costs: true
    min_iterations: 4
    max_iterations: 6
    clip_p_max_pu: 0.01
    skip_iterations: true
    track_iterations: false
    #nhours: 10
  solver:
    name: cbc
   # threads: 4
   # method: 2 # barrier
   # crossover: 0
   # BarConvTol: 1.e-5
   # FeasibilityTol: 1.e-6
   # AggFill: 0
   # PreDual: 0
   # GURO_PAR_BARDENSETHRESH: 200
  # solver:
  #   name: cplex
  #   threads: 4
  #   lpmethod: 4 # barrier
  #   solutiontype: 2 # non basic solution, ie no crossover
  #   barrier.convergetol: 1.e-5
  #   feasopt.tolerance: 1.e-6

plotting:
  map:
    figsize: [7, 7]
    boundaries: [-10.2, 29, 35, 72]
    p_nom:
      bus_size_factor: 5.e+4
      linewidth_factor: 3.e+3

  costs_max: 800
  costs_threshold: 1

  energy_max: 15000.
  energy_min: -10000.
  energy_threshold: 50.

  vre_techs: ["onwind", "offwind-ac", "offwind-dc", "solar", "ror"]
  conv_techs: ["OCGT", "CCGT", "Nuclear", "Coal"]
  storage_techs: ["hydro+PHS", "battery", "H2"]
  load_carriers: ["AC load"]
  AC_carriers: ["AC line", "AC transformer"]
  link_carriers: ["DC line", "Converter AC-DC"]
  tech_colors:
    "onwind": "#235ebc"
    "onshore wind": "#235ebc"
    'offwind': "#6895dd"
    'offwind-ac': "#6895dd"
    'offshore wind': "#6895dd"
    'offshore wind ac': "#6895dd"
    'offwind-dc': "#74c6f2"
    'offshore wind dc': "#74c6f2"
    "hydro": "#08ad97"
    "hydro+PHS": "#08ad97"
    "PHS": "#08ad97"
    "hydro reservoir": "#08ad97"
    'hydroelectricity': '#08ad97'
    "ror": "#4adbc8"
    "run of river": "#4adbc8"
    'solar': "#f9d002"
    'solar PV': "#f9d002"
    'solar thermal': '#ffef60'
    'biomass': '#0c6013'
    'solid biomass': '#06540d'
    'biogas': '#23932d'
    'waste': '#68896b'
    'geothermal': '#ba91b1'
    "OCGT": "#d35050"
    "gas": "#d35050"
    "natural gas": "#d35050"
    "CCGT": "#b20101"
    "nuclear": "#ff9000"
    "coal": "#707070"
    "lignite": "#9e5a01"
    "oil": "#262626"
    "H2": "#ea048a"
    "hydrogen storage": "#ea048a"
    "battery": "#b8ea04"
    "Electric load": "#f9d002"
    "electricity": "#f9d002"
    "lines": "#70af1d"
    "transmission lines": "#70af1d"
    "AC-AC": "#70af1d"
    "AC line": "#70af1d"
    "links": "#8a1caf"
    "HVDC links": "#8a1caf"
    "DC-DC": "#8a1caf"
    "DC link": "#8a1caf"
  nice_names:
    OCGT: "Open-Cycle Gas"
    CCGT: "Combined-Cycle Gas"
    offwind-ac: "Offshore Wind (AC)"
    offwind-dc: "Offshore Wind (DC)"
    onwind: "Onshore Wind"
    solar: "Solar"
    PHS: "Pumped Hydro Storage"
    hydro: "Reservoir & Dam"
    battery: "Battery Storage"
    H2: "Hydrogen Storage"
    lines: "Transmission Lines"
    ror: "Run of River"

Your Environment

I'm using PyPSA-eur v0.7.0

• The atlite version used:
• How you installed atlite (conda, pip or github):
• Operating System:
• My environment:
  (output of `conda list`)

  ```

packages in environment at /home/ubuntu/anaconda3/envs/pypsa-eur:

Name Version Build Channel

_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
affine 2.4.0 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.8 h166bdaf_0 conda-forge
ampl-mp 3.1.0 h2cc385e_1006 conda-forge
amply 0.1.5 pyhd8ed1ab_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
arrow-cpp 11.0.0 ha770c72_13_cpu conda-forge
asttokens 2.2.1 pyhd8ed1ab_0 conda-forge
atlite 0.2.10 pyhd8ed1ab_0 conda-forge
attr 2.5.1 h166bdaf_1 conda-forge
attrs 22.2.0 pyh71513ae_0 conda-forge
aws-c-auth 0.6.26 hf365957_1 conda-forge
aws-c-cal 0.5.21 h48707d8_2 conda-forge
aws-c-common 0.8.14 h0b41bf4_0 conda-forge
aws-c-compression 0.2.16 h03acc5a_5 conda-forge
aws-c-event-stream 0.2.20 h00877a2_4 conda-forge
aws-c-http 0.7.6 hf342b9f_0 conda-forge
aws-c-io 0.13.19 h5b20300_3 conda-forge
aws-c-mqtt 0.8.6 hc4349f7_12 conda-forge
aws-c-s3 0.2.7 h909e904_1 conda-forge
aws-c-sdkutils 0.1.8 h03acc5a_0 conda-forge
aws-checksums 0.1.14 h03acc5a_5 conda-forge
aws-crt-cpp 0.19.8 hf7fbfca_12 conda-forge
aws-sdk-cpp 1.10.57 h17c43bd_8 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_3 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.12.0 pyha770c72_0 conda-forge
blosc 1.21.3 hafa529b_0 conda-forge
bokeh 2.4.3 pyhd8ed1ab_3 conda-forge
boost-cpp 1.78.0 h75c5d50_1 conda-forge
bottleneck 1.3.7 py310h0a54255_0 conda-forge
branca 0.6.0 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h166bdaf_8 conda-forge
brotli-bin 1.0.9 h166bdaf_8 conda-forge
brotlipy 0.7.0 py310h5764c6d_1005 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.12.7 ha878542_0 conda-forge
cairo 1.16.0 ha61ee94_1014 conda-forge
cartopy 0.21.1 py310h7eb24ba_1 conda-forge
cdsapi 0.6.1 pyhd8ed1ab_0 conda-forge
certifi 2022.12.7 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py310h255011f_3 conda-forge
cfitsio 4.2.0 hd9d235c_0 conda-forge
cftime 1.6.2 py310hde88566_1 conda-forge
charset-normalizer 3.1.0 pyhd8ed1ab_0 conda-forge
click 8.1.3 unix_pyhd8ed1ab_2 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
cloudpickle 2.2.1 pyhd8ed1ab_0 conda-forge
coin-or-cbc 2.10.8 h3786ebc_0 conda-forge
coin-or-cgl 0.60.6 h6f57e76_2 conda-forge
coin-or-clp 1.17.7 hc56784d_2 conda-forge
coin-or-osi 0.108.7 h2720bb7_2 conda-forge
coin-or-utils 2.11.6 h202d8b1_2 conda-forge
coincbc 2.10.8 0_metapackage conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
configargparse 1.5.3 pyhd8ed1ab_0 conda-forge
connection_pool 0.0.3 pyhd3deb0d_0 conda-forge
country_converter 1.0.0 pyhd8ed1ab_1 conda-forge
countrycode 0.2 pypi_0 pypi
cryptography 40.0.1 py310h34c0648_0 conda-forge
curl 7.88.1 hdc1c0ab_1 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cytoolz 0.12.0 py310h5764c6d_1 conda-forge
dask 2023.3.2 pyhd8ed1ab_0 conda-forge
dask-core 2023.3.2 pyhd8ed1ab_0 conda-forge
datrie 0.8.2 py310h5764c6d_6 conda-forge
dbus 1.13.6 h5008d03_3 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
deprecation 2.1.0 pyh9f0ad1d_0 conda-forge
descartes 1.1.0 py_4 conda-forge
distributed 2023.3.2 pyhd8ed1ab_0 conda-forge
distro 1.8.0 pyhd8ed1ab_0 conda-forge
docutils 0.19 py310hff52083_1 conda-forge
dpath 2.1.5 py310hff52083_0 conda-forge
entsoe-py 0.5.8 pyhd8ed1ab_0 conda-forge
et_xmlfile 1.1.0 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.1.1 pyhd8ed1ab_0 conda-forge
executing 1.2.0 pyhd8ed1ab_0 conda-forge
expat 2.5.0 hcb278e6_1 conda-forge
fftw 3.3.10 nompi_hf0379b8_106 conda-forge
filelock 3.10.7 pyhd8ed1ab_0 conda-forge
fiona 1.9.2 py310ha325b7b_0 conda-forge
folium 0.14.0 pyhd8ed1ab_0 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.2 h14ed4e7_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.39.3 py310h1fa729e_0 conda-forge
freetype 2.12.1 hca18f0e_1 conda-forge
freexl 1.0.6 h166bdaf_1 conda-forge
fsspec 2023.3.0 pyhd8ed1ab_1 conda-forge
gdal 3.6.3 py310hc1b7723_1 conda-forge
geographiclib 1.52 pyhd8ed1ab_0 conda-forge
geojson-rewind 1.0.2 pyhd8ed1ab_0 conda-forge
geopandas 0.12.2 pyhd8ed1ab_0 conda-forge
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geopy 2.3.0 pyhd8ed1ab_0 conda-forge
geos 3.11.2 hcb278e6_0 conda-forge
geotiff 1.7.1 hb963b44_7 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
gflags 2.2.2 he1b5a44_1004 conda-forge
giflib 5.2.1 h0b41bf4_3 conda-forge
gitdb 4.0.10 pyhd8ed1ab_0 conda-forge
gitpython 3.1.31 pyhd8ed1ab_0 conda-forge
glib 2.74.1 h6239696_1 conda-forge
glib-tools 2.74.1 h6239696_1 conda-forge
glog 0.6.0 h6f12383_0 conda-forge
graphite2 1.3.13 h58526e2_1001 conda-forge
gst-plugins-base 1.22.0 h4243ec0_2 conda-forge
gstreamer 1.22.0 h25f0c4b_2 conda-forge
gstreamer-orc 0.4.33 h166bdaf_0 conda-forge
harfbuzz 6.0.0 h8e241bc_0 conda-forge
hdf4 4.2.15 h501b40f_6 conda-forge
hdf5 1.12.2 nompi_h4df4325_101 conda-forge
heapdict 1.0.1 py_0 conda-forge
highspy 1.5.0.dev0 pypi_0 pypi
humanfriendly 10.0 py310hff52083_4 conda-forge
icu 70.1 h27087fc_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
importlib-metadata 6.1.0 pyha770c72_0 conda-forge
importlib_metadata 6.1.0 hd8ed1ab_0 conda-forge
importlib_resources 5.12.0 pyhd8ed1ab_0 conda-forge
iniconfig 2.0.0 pyhd8ed1ab_0 conda-forge
ipopt 3.14.11 hf9e1ecf_0 conda-forge
ipython 8.12.0 pyh41d4057_0 conda-forge
jack 1.9.22 h11f4161_0 conda-forge
jedi 0.18.2 pyhd8ed1ab_0 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
json-c 0.16 hc379101_0 conda-forge
jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge
jupyter_core 5.3.0 py310hff52083_0 conda-forge
kealib 1.5.0 ha7026e8_0 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.4 py310hbf28c38_1 conda-forge
krb5 1.20.1 h81ceb04_0 conda-forge
lame 3.100 h166bdaf_1003 conda-forge
lcms2 2.15 haa2dc70_1 conda-forge
ld_impl_linux-64 2.40 h41732ed_0 conda-forge
lerc 4.0.0 h27087fc_0 conda-forge
libabseil 20230125.0 cxx17_hcb278e6_1 conda-forge
libaec 1.0.6 hcb278e6_1 conda-forge
libarrow 11.0.0 h93537a5_13_cpu conda-forge
libblas 3.9.0 16_linux64_openblas conda-forge
libbrotlicommon 1.0.9 h166bdaf_8 conda-forge
libbrotlidec 1.0.9 h166bdaf_8 conda-forge
libbrotlienc 1.0.9 h166bdaf_8 conda-forge
libcap 2.67 he9d0100_0 conda-forge
libcblas 3.9.0 16_linux64_openblas conda-forge
libclang 15.0.7 default_had23c3d_1 conda-forge
libclang13 15.0.7 default_h3e3d535_1 conda-forge
libcrc32c 1.1.2 h9c3ff4c_0 conda-forge
libcups 2.3.3 h36d4200_3 conda-forge
libcurl 7.88.1 hdc1c0ab_1 conda-forge
libdb 6.2.32 h9c3ff4c_0 conda-forge
libdeflate 1.17 h0b41bf4_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 h516909a_1 conda-forge
libevent 2.1.10 h28343ad_4 conda-forge
libexpat 2.5.0 hcb278e6_1 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libflac 1.4.2 h27087fc_0 conda-forge
libgcc-ng 12.2.0 h65d4601_19 conda-forge
libgcrypt 1.10.1 h166bdaf_0 conda-forge
libgdal 3.6.3 h93ed92d_1 conda-forge
libgfortran-ng 12.2.0 h69a702a_19 conda-forge
libgfortran5 12.2.0 h337968e_19 conda-forge
libglib 2.74.1 h606061b_1 conda-forge
libgomp 12.2.0 h65d4601_19 conda-forge
libgoogle-cloud 2.8.0 h0bc5f78_1 conda-forge
libgpg-error 1.46 h620e276_0 conda-forge
libgrpc 1.52.1 hcf146ea_1 conda-forge
libiconv 1.17 h166bdaf_0 conda-forge
libjpeg-turbo 2.1.5.1 h0b41bf4_0 conda-forge
libkml 1.3.0 h37653c0_1015 conda-forge
liblapack 3.9.0 16_linux64_openblas conda-forge
liblapacke 3.9.0 16_linux64_openblas conda-forge
libllvm15 15.0.7 hadd5161_1 conda-forge
libnetcdf 4.9.1 nompi_hd2e9713_102 conda-forge
libnghttp2 1.52.0 h61bc06f_0 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libnuma 2.0.16 h0b41bf4_1 conda-forge
libogg 1.3.4 h7f98852_1 conda-forge
libopenblas 0.3.21 pthreads_h78a6416_3 conda-forge
libopus 1.3.1 h7f98852_1 conda-forge
libpng 1.6.39 h753d276_0 conda-forge
libpq 15.2 hb675445_0 conda-forge
libprotobuf 3.21.12 h3eb15da_0 conda-forge
librttopo 1.1.0 h0d5128d_13 conda-forge
libsndfile 1.2.0 hb75c966_0 conda-forge
libspatialindex 1.9.3 h9c3ff4c_4 conda-forge
libspatialite 5.0.1 h2d2bb50_24 conda-forge
libsqlite 3.40.0 h753d276_0 conda-forge
libssh2 1.10.0 hf14f497_3 conda-forge
libstdcxx-ng 12.2.0 h46fd767_19 conda-forge
libsystemd0 253 h8c4010b_1 conda-forge
libthrift 0.18.1 h5e4af38_0 conda-forge
libtiff 4.5.0 hddfeb54_5 conda-forge
libtool 2.4.7 h27087fc_0 conda-forge
libudev1 253 h0b41bf4_1 conda-forge
libutf8proc 2.8.0 h166bdaf_0 conda-forge
libuuid 2.38.1 h0b41bf4_0 conda-forge
libvorbis 1.3.7 h9c3ff4c_0 conda-forge
libwebp-base 1.3.0 h0b41bf4_0 conda-forge
libxcb 1.13 h7f98852_1004 conda-forge
libxkbcommon 1.5.0 h79f4944_1 conda-forge
libxml2 2.10.3 hca2bb57_4 conda-forge
libxslt 1.1.37 h873f0b0_0 conda-forge
libzip 1.9.2 hc929e4a_1 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
linopy 0.1.4 pyhd8ed1ab_0 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lxml 4.9.2 py310hbdc0903_0 conda-forge
lz4 4.3.2 py310h0cfdcf0_0 conda-forge
lz4-c 1.9.4 hcb278e6_0 conda-forge
lzo 2.10 h516909a_1000 conda-forge
mapclassify 2.5.0 pyhd8ed1ab_1 conda-forge
markupsafe 2.1.2 py310h1fa729e_0 conda-forge
matplotlib 3.5.3 py310hff52083_2 conda-forge
matplotlib-base 3.5.3 py310h8d5ebf3_2 conda-forge
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
memory_profiler 0.61.0 pyhd8ed1ab_0 conda-forge
metis 5.1.0 h58526e2_1006 conda-forge
mpg123 1.31.3 hcb278e6_0 conda-forge
msgpack-python 1.0.5 py310hdf3cbec_0 conda-forge
mumps-include 5.2.1 ha770c72_11 conda-forge
mumps-seq 5.2.1 h2104b81_11 conda-forge
munch 2.5.0 py_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
mysql-common 8.0.32 ha901b37_1 conda-forge
mysql-libs 8.0.32 hd7da12d_1 conda-forge
nbformat 5.8.0 pyhd8ed1ab_0 conda-forge
ncurses 6.3 h27087fc_1 conda-forge
netcdf4 1.6.3 nompi_py310h0feb132_100 conda-forge
networkx 3.0 pyhd8ed1ab_0 conda-forge
nomkl 1.0 h5ca1d4c_0 conda-forge
nspr 4.35 h27087fc_0 conda-forge
nss 3.89 he45b914_0 conda-forge
numexpr 2.8.3 py310hf05e7a9_101 conda-forge
numpy 1.23.5 py310h53a5b5f_0 conda-forge
openjdk 17.0.3 h4335b31_6 conda-forge
openjpeg 2.5.0 hfec8fc6_2 conda-forge
openpyxl 3.1.1 py310h1fa729e_0 conda-forge
openssl 3.1.0 h0b41bf4_0 conda-forge
orc 1.8.3 hfdbbad2_0 conda-forge
packaging 23.0 pyhd8ed1ab_0 conda-forge
pandas 1.5.3 py310h9b08913_1 conda-forge
parquet-cpp 1.5.1 2 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
partd 1.3.0 pyhd8ed1ab_0 conda-forge
patsy 0.5.3 pyhd8ed1ab_0 conda-forge
pcre2 10.40 hc3806b6_0 conda-forge
pexpect 4.8.0 pyh1a96a4e_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.4.0 py310h065c6d2_2 conda-forge
pip 23.0.1 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h36c2ea0_0 conda-forge
pkgutil-resolve-name 1.3.10 pyhd8ed1ab_0 conda-forge
plac 1.3.5 pyhd8ed1ab_0 conda-forge
platformdirs 3.2.0 pyhd8ed1ab_0 conda-forge
pluggy 1.0.0 pyhd8ed1ab_5 conda-forge
ply 3.11 py_1 conda-forge
pooch 1.7.0 pyha770c72_3 conda-forge
poppler 23.03.0 hf052cbe_1 conda-forge
poppler-data 0.4.12 hd8ed1ab_0 conda-forge
postgresql 15.2 h3248436_0 conda-forge
powerplantmatching 0.5.6 pyhd8ed1ab_0 conda-forge
progressbar2 4.2.0 pyhd8ed1ab_0 conda-forge
proj 9.1.1 h8ffa02c_2 conda-forge
prompt-toolkit 3.0.38 pyha770c72_0 conda-forge
prompt_toolkit 3.0.38 hd8ed1ab_0 conda-forge
psutil 5.9.4 py310h5764c6d_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pulp 2.7.0 py310hff52083_0 conda-forge
pulseaudio 16.1 hcb278e6_3 conda-forge
pulseaudio-client 16.1 h5195f5e_3 conda-forge
pulseaudio-daemon 16.1 ha8d29e2_3 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pyarrow 11.0.0 py310h633f555_13_cpu conda-forge
pybind11 2.10.4 pypi_0 pypi
pycountry 22.3.5 pyhd8ed1ab_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pygments 2.14.0 pyhd8ed1ab_0 conda-forge
pyomo 6.5.0 py310heca2aa9_0 conda-forge
pyopenssl 23.1.1 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyproj 3.5.0 py310h15e2413_0 conda-forge
pypsa 0.22.1 pyhd8ed1ab_0 conda-forge
pyqt 5.15.7 py310hab646b1_3 conda-forge
pyqt5-sip 12.11.0 py310heca2aa9_3 conda-forge
pyrsistent 0.19.3 py310h1fa729e_0 conda-forge
pyshp 2.3.1 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
pytables 3.7.0 py310hb60b9b2_3 conda-forge
pytest 7.2.2 pyhd8ed1ab_0 conda-forge
python 3.10.10 he550d4f_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.16.3 pyhd8ed1ab_0 conda-forge
python-utils 3.5.2 pyhd8ed1ab_0 conda-forge
python_abi 3.10 3_cp310 conda-forge
pytz 2023.3 pyhd8ed1ab_0 conda-forge
pyxlsb 1.0.10 pyhd8ed1ab_0 conda-forge
pyyaml 6.0 py310h5764c6d_5 conda-forge
qt-main 5.15.8 h67dfc38_7 conda-forge
rasterio 1.3.6 py310h3e853a9_0 conda-forge
re2 2023.02.02 hcb278e6_0 conda-forge
readline 8.2 h8228510_1 conda-forge
requests 2.28.2 pyhd8ed1ab_1 conda-forge
reretry 0.11.8 pyhd8ed1ab_0 conda-forge
rtree 1.0.1 py310hbdcdc62_1 conda-forge
s2n 1.3.41 h3358134_0 conda-forge
scikit-learn 1.2.2 py310h41b6a48_1 conda-forge
scipy 1.10.1 py310h8deb116_0 conda-forge
scotch 6.0.9 hb2e6521_2 conda-forge
seaborn 0.12.2 hd8ed1ab_0 conda-forge
seaborn-base 0.12.2 pyhd8ed1ab_0 conda-forge
setuptools 67.6.1 pyhd8ed1ab_0 conda-forge
setuptools-scm 7.1.0 pyhd8ed1ab_0 conda-forge
setuptools_scm 7.1.0 hd8ed1ab_0 conda-forge
shapely 2.0.1 py310h056c13c_1 conda-forge
sip 6.7.7 py310heca2aa9_1 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
smart_open 6.3.0 pyhd8ed1ab_1 conda-forge
smmap 3.0.5 pyh44b312d_0 conda-forge
snakemake-minimal 7.25.0 pyhdfd78af_0 bioconda
snappy 1.1.10 h9fff704_0 conda-forge
snuggs 1.4.7 py_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge
sqlite 3.40.0 h4ff8645_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
statsmodels 0.13.5 py310hde88566_2 conda-forge
stopit 1.1.2 py_0 conda-forge
tabula-py 2.6.0 py310hff52083_0 conda-forge
tabulate 0.9.0 pyhd8ed1ab_1 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
throttler 1.2.1 pyhd8ed1ab_0 conda-forge
tiledb 2.13.2 hd532e3d_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
toposort 1.10 pyhd8ed1ab_0 conda-forge
tornado 6.2 py310h5764c6d_1 conda-forge
tqdm 4.65.0 pyhd8ed1ab_1 conda-forge
traitlets 5.9.0 pyhd8ed1ab_0 conda-forge
tsam 2.2.2 pypi_0 pypi
typing-extensions 4.5.0 hd8ed1ab_0 conda-forge
typing_extensions 4.5.0 pyha770c72_0 conda-forge
tzcode 2023c h0b41bf4_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
ucx 1.14.0 ha0ee010_0 conda-forge
unicodedata2 15.0.0 py310h5764c6d_0 conda-forge
unidecode 1.3.6 pyhd8ed1ab_0 conda-forge
unixodbc 2.3.10 h583eb01_0 conda-forge
urllib3 1.26.15 pyhd8ed1ab_0 conda-forge
vresutils 0.3.1 pypi_0 pypi
wcwidth 0.2.6 pyhd8ed1ab_0 conda-forge
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
wrapt 1.15.0 py310h1fa729e_0 conda-forge
xarray 2023.3.0 pyhd8ed1ab_0 conda-forge
xcb-util 0.4.0 h166bdaf_0 conda-forge
xcb-util-image 0.4.0 h166bdaf_0 conda-forge
xcb-util-keysyms 0.4.0 h166bdaf_0 conda-forge
xcb-util-renderutil 0.3.9 h166bdaf_0 conda-forge
xcb-util-wm 0.4.1 h166bdaf_0 conda-forge
xerces-c 3.2.4 h55805fa_1 conda-forge
xkeyboard-config 2.38 h0b41bf4_0 conda-forge
xlrd 2.0.1 pyhd8ed1ab_3 conda-forge
xorg-fixesproto 5.0 h7f98852_1002 conda-forge
xorg-inputproto 2.3.2 h7f98852_1002 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.8.4 h0b41bf4_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 conda-forge
xorg-libxfixes 5.0.3 h7f98852_1004 conda-forge
xorg-libxi 1.7.10 h7f98852_0 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-libxtst 1.2.3 h7f98852_1002 conda-forge
xorg-recordproto 1.14.2 h7f98852_1002 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge
xorg-xf86vidmodeproto 2.3.1 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xyzservices 2023.2.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yte 1.5.1 py310hff52083_1 conda-forge
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zipp 3.15.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zstd 1.5.2 h3eb15da_6 conda-forge

    <!-- output of `conda list` -->
  ```
</details>

Thank you!

Start with the reported build_cutout.py invocation, then read atlite/data.py:get_features and atlite/datasets/sarah.py:get_filenames around the traceback. Reproduce the failure using the shown config and establish a successful SARAH cutout build as the completion check; no test file is named in the report.