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Hi, my code was working without problem downloading all bands in my old computer, now that i switched to a new one i get this error whenever i try to download all bands:

DeflateError: libdeflate_zlib_decompress returned LIBDEFLATE_INSUFFICIENT_SPACE


There is no issue when i try to download a regular natural true color image


Versions:

Python: 3.9.18

Sentinelhub: 3.9.1


Code example:


all_bands_script = ‘return nB01,B02,B03,B04,B05,B06,B07,B08,B8A,B09,B10,B1972,B12]’


config = SHConfig()


        config.instance_id = idcuartelesec]

wms_request = WmsRequest(layer='NATURAL-COLOR-TRUE-COLOR',

custom_url_params={CustomUrlParam.EVALSCRIPT: all_bands_script},

bbox=BBox(bbox=mybbox, crs=CRS.WGS84),

time=FECHADESCARGA,

width=1000,

height=856,

maxcc=0.1,

image_format=MimeType.TIFF,

config=config,
data_collection=DataCollection.SENTINEL2_L1C)

imagenes=wms_request.get_data()

Hi,

Could you please also share the full traceback? Thank you!


This is the full traceback


DeflateError Traceback (most recent call last)

~\AppData\Local\Temp\ipykernel_14648\431882830.py in

308 data_collection=DataCollection.SENTINEL2_L1C)

309

→ 310 imagenes=wms_request.get_data()

311

312 fechas=wms_request.get_dates()


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\base.py in get_data(self, save_data, redownload, data_filter, max_threads, decode_data, raise_download_errors, show_progress)

107 “”"

108 self._preprocess_request(save_data, True)

→ 109 return self._execute_data_download(

110 data_filter,

111 redownload,


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\base.py in _execute_data_download(self, data_filter, redownload, max_threads, raise_download_errors, decode_data, show_progress)

181 redownload=redownload, raise_download_errors=raise_download_errors, config=self.config

182 )

→ 183 data_list = client.download(

184 filtered_download_list, max_threads=max_threads, decode_data=decode_data, show_progress=show_progress

185 )


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\sentinelhub_client.py in download(self, *args, **kwargs)

60 self.lock = Lock()

61 try:

—> 62 return super().download(*args, **kwargs)

63 finally:

64 self.lock = None


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\client.py in download(self, download_requests, max_threads, decode_data, show_progress)

99 for future in as_completed(download_list):

100 try:

→ 101 results future_ordersfuture]] = future.result()

102 except DownloadFailedException as download_exception:

103 if self.raise_download_errors:


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in result(self, timeout)

437 raise CancelledError()

438 elif self._state == FINISHED:

→ 439 return self.__get_result()

440

441 self._condition.wait(timeout)


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in __get_result(self)

389 if self._exception:

390 try:

→ 391 raise self._exception

392 finally:

393 # Break a reference cycle with the exception in self._exception


~\AppData\Local\anaconda3\lib\concurrent\futures\thread.py in run(self)

56

57 try:

—> 58 result = self.fn(*self.args, **self.kwargs)

59 except BaseException as exc:

60 self.future.set_exception(exc)


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\client.py in _single_download_decoded(self, request)

116 “”“Downloads a response and decodes it into data. By decoding a single response”“”

117 response = self._single_download(request)

→ 118 return None if response is None else response.decode()

119

120 def _single_download(self, request: DownloadRequest) → OptionalqDownloadResponse]:


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\models.py in decode(self)

244 def decode(self) → Any:

245 “”“Decodes binary data into a Python object.”“”

→ 246 return decode_data(self.content, data_type=self.response_type)

247

248 def derive(self, **params: Any) → DownloadResponse:


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\decoding.py in decode_data(response_content, data_type)

36 return decode_tar(response_content)

37 if MimeType.is_image_format(data_type):

—> 38 return decode_image(response_content, data_type)

39 if data_type is MimeType.XML or data_type is MimeType.GML or data_type is MimeType.SAFE:

40 return ElementTree.fromstring(response_content)


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\decoding.py in decode_image(data, image_type)

61 bytes_data = BytesIO(data)

62 if image_type is MimeType.TIFF:

—> 63 image = tiff.imread(bytes_data)

64 elif image_type is MimeType.JP2:

65 image = decode_jp2_image(bytes_data)


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in imread(files, aszarr, **kwargs)

817 if aszarr:

818 return tif.aszarr(**kwargs)

→ 819 return tif.asarray(**kwargs)

820

821 with TiffSequence(files, **kwargs_seq) as imseq:


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in asarray(self, key, series, level, squeeze, out, maxworkers)

3228 )

3229 elif len(pages) == 1:

→ 3230 result = pages(0].asarray(out=out, maxworkers=maxworkers)

3231 else:

3232 result = stack_pages(pages, out=out, maxworkers=maxworkers)


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in asarray(self, out, squeeze, lock, maxworkers)

6496 # pass # corrupted files e.g. with too many strips

6497

→ 6498 for _ in self.segments(

6499 func=func,

6500 lock=lock,


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in segments(self, lock, maxworkers, func, sort, _fullsize)

6362 flat=False,

6363 ):

→ 6364 yield from executor.map(decode, segments)

6365

6366 def asarray(self, out=None, squeeze=True, lock=None, maxworkers=None):


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in result_iterator()

607 # Careful not to keep a reference to the popped future

608 if timeout is None:

→ 609 yield fs.pop().result()

610 else:

611 yield fs.pop().result(end_time - time.monotonic())


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in result(self, timeout)

437 raise CancelledError()

438 elif self._state == FINISHED:

→ 439 return self.__get_result()

440

441 self._condition.wait(timeout)


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in __get_result(self)

389 if self._exception:

390 try:

→ 391 raise self._exception

392 finally:

393 # Break a reference cycle with the exception in self._exception


~\AppData\Local\anaconda3\lib\concurrent\futures\thread.py in run(self)

56

57 try:

—> 58 result = self.fn(*self.args, **self.kwargs)

59 except BaseException as exc:

60 self.future.set_exception(exc)


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in decode(args, decodeargs, keyframe, func)

6337 args, decodeargs=decodeargs, keyframe=keyframe, func=func

6338 ):

→ 6339 return func(keyframe.decode(*args, **decodeargs))

6340

6341 if maxworkers is None or maxworkers < 1:


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in decode(data, segmentindex, jpegtables, _fullsize)

6295 # TODO: calculate correct size for packed integers

6296 size = shaper0] * shapef1] * shapei2] * shape 3]

→ 6297 data = decompress(data, out=size * dtype.itemsize)

6298 data = unpack(data)

6299 data = reshape(data, index, shape)


imagecodecs_deflate.pyx in imagecodecs._deflate.deflate_decode()


DeflateError: libdeflate_zlib_decompress returned LIBDEFLATE_INSUFFICIENT_SPACE


Could you help me check the version of tifffile in your environment?


How can i check the version?


You could activate your conda environment and try conda list


tifffile 2021.7.2 pyhd3eb1b0_2


Could you please try to upgrade it to 2023.3.21?


I upgraded it, but still getting the same error



DeflateError Traceback (most recent call last)

~\AppData\Local\Temp\ipykernel_9076\431882830.py in

308 data_collection=DataCollection.SENTINEL2_L1C)

309

→ 310 imagenes=wms_request.get_data()

311

312 fechas=wms_request.get_dates()


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\base.py in get_data(self, save_data, redownload, data_filter, max_threads, decode_data, raise_download_errors, show_progress)

107 “”"

108 self._preprocess_request(save_data, True)

→ 109 return self._execute_data_download(

110 data_filter,

111 redownload,


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\base.py in _execute_data_download(self, data_filter, redownload, max_threads, raise_download_errors, decode_data, show_progress)

181 redownload=redownload, raise_download_errors=raise_download_errors, config=self.config

182 )

→ 183 data_list = client.download(

184 filtered_download_list, max_threads=max_threads, decode_data=decode_data, show_progress=show_progress

185 )


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\sentinelhub_client.py in download(self, *args, **kwargs)

60 self.lock = Lock()

61 try:

—> 62 return super().download(*args, **kwargs)

63 finally:

64 self.lock = None


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\client.py in download(self, download_requests, max_threads, decode_data, show_progress)

99 for future in as_completed(download_list):

100 try:

→ 101 results future_ordersfuture]] = future.result()

102 except DownloadFailedException as download_exception:

103 if self.raise_download_errors:


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in result(self, timeout)

437 raise CancelledError()

438 elif self._state == FINISHED:

→ 439 return self.__get_result()

440

441 self._condition.wait(timeout)


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in __get_result(self)

389 if self._exception:

390 try:

→ 391 raise self._exception

392 finally:

393 # Break a reference cycle with the exception in self._exception


~\AppData\Local\anaconda3\lib\concurrent\futures\thread.py in run(self)

56

57 try:

—> 58 result = self.fn(*self.args, **self.kwargs)

59 except BaseException as exc:

60 self.future.set_exception(exc)


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\client.py in _single_download_decoded(self, request)

116 “”“Downloads a response and decodes it into data. By decoding a single response”“”

117 response = self._single_download(request)

→ 118 return None if response is None else response.decode()

119

120 def _single_download(self, request: DownloadRequest) → OptionalqDownloadResponse]:


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\download\models.py in decode(self)

244 def decode(self) → Any:

245 “”“Decodes binary data into a Python object.”“”

→ 246 return decode_data(self.content, data_type=self.response_type)

247

248 def derive(self, **params: Any) → DownloadResponse:


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\decoding.py in decode_data(response_content, data_type)

36 return decode_tar(response_content)

37 if MimeType.is_image_format(data_type):

—> 38 return decode_image(response_content, data_type)

39 if data_type is MimeType.XML or data_type is MimeType.GML or data_type is MimeType.SAFE:

40 return ElementTree.fromstring(response_content)


~\AppData\Local\anaconda3\lib\site-packages\sentinelhub\decoding.py in decode_image(data, image_type)

61 bytes_data = BytesIO(data)

62 if image_type is MimeType.TIFF:

—> 63 image = tiff.imread(bytes_data)

64 elif image_type is MimeType.JP2:

65 image = decode_jp2_image(bytes_data)


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in imread(files, aszarr, key, series, level, squeeze, maxworkers, mode, name, offset, size, pattern, axesorder, categories, imread, sort, container, chunkshape, dtype, axestiled, ioworkers, chunkmode, fillvalue, zattrs, multiscales, omexml, out, out_inplace, _multifile, _useframes, **kwargs)

1075 multiscales=multiscales,

1076 )

→ 1077 return tif.asarray(

1078 key=key,

1079 series=series,


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in asarray(self, key, series, level, squeeze, out, maxworkers)

4235 if page0 is None:

4236 raise ValueError(‘page is None’)

→ 4237 result = page0.asarray(out=out, maxworkers=maxworkers)

4238 else:

4239 result = stack_pages(pages, out=out, maxworkers=maxworkers)


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in asarray(self, out, squeeze, lock, maxworkers)

8855 # pass # corrupted file, e.g., with too many strips

8856

→ 8857 for _ in self.segments(

8858 func=func,

8859 lock=lock,


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in segments(self, lock, maxworkers, func, sort, _fullsize)

8669 flat=False,

8670 ):

→ 8671 yield from executor.map(decode, segments)

8672

8673 def asarray(


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in result_iterator()

607 # Careful not to keep a reference to the popped future

608 if timeout is None:

→ 609 yield fs.pop().result()

610 else:

611 yield fs.pop().result(end_time - time.monotonic())


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in result(self, timeout)

437 raise CancelledError()

438 elif self._state == FINISHED:

→ 439 return self.__get_result()

440

441 self._condition.wait(timeout)


~\AppData\Local\anaconda3\lib\concurrent\futures_base.py in __get_result(self)

389 if self._exception:

390 try:

→ 391 raise self._exception

392 finally:

393 # Break a reference cycle with the exception in self._exception


~\AppData\Local\anaconda3\lib\concurrent\futures\thread.py in run(self)

56

57 try:

—> 58 result = self.fn(*self.args, **self.kwargs)

59 except BaseException as exc:

60 self.future.set_exception(exc)


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in decode(args, decodeargs, decode)

8644

8645 def decode(args, decodeargs=decodeargs, decode=keyframe.decode):

→ 8646 return func(decode(*args, **decodeargs)) # type: ignore

8647

8648 if maxworkers is None or maxworkers < 1:


~\AppData\Local\anaconda3\lib\site-packages\tifffile\tifffile.py in decode_other(data, index, jpegtables, jpegheader, _fullsize)

8573 # TODO: calculate correct size for packed integers

8574 size = shapee0] * shapei1] * shapek2] * shapes3]

→ 8575 data = decompress(data, out=size * dtype.itemsize)

8576 data_array = unpack(data) # type: ignore

8577 # del data


imagecodecs_deflate.pyx in imagecodecs._deflate.deflate_decode()


DeflateError: libdeflate_zlib_decompress returned LIBDEFLATE_INSUFFICIENT_SPACE


Hi,

Could you please give it a try to download a RGB JPG or a single band TIFF?


wms_TRUECOLOR_request = WmsRequest(

layer='NATURAL-COLOR-TRUE-COLOR',

bbox=BBox(bbox=MYBBOX, crs=CRS.WGS84),

time=FECHADESCARGA,

maxcc=0.1,

width=1000,

height=856,

config=config,
data_collection=DataCollection.SENTINEL2_L1C

)

That request works without problem, the problem comes when i want to download multiple bands. I tried reducing it to 1 band with the same methodology used for 13 bands, and still it fails


Hi,

Are you using miniconda or Anaconda? Could you please provide the full list of the output of the conda list command?


Im using Anaconda

Name Version Build Channel

_anaconda_depends 2021.11 py39_0
abseil-cpp 20211102.0 hd77b12b_0
absl-py 2.0.0 pypi_0 pypi
aenum 3.1.15 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.5 py39h2bbff1b_0
aioitertools 0.7.1 pyhd3eb1b0_0
aiosignal 1.2.0 pyhd3eb1b0_0
alabaster 0.7.12 pyhd3eb1b0_0
anaconda-anon-usage 0.4.3 py39hfc23b7f_100
anaconda-catalogs 0.2.0 py39haa95532_0
anaconda-client 1.11.1 py39haa95532_0
anaconda-cloud-auth 0.1.4 py39haa95532_0
anaconda-navigator 2.5.0 py39haa95532_0
anaconda-project 0.11.1 py39haa95532_0
anyio 3.5.0 py39haa95532_0
appdirs 1.4.4 pyhd3eb1b0_0
argh 0.29.4 py39haa95532_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py39h2bbff1b_0
arrow 1.2.3 py39haa95532_1
asn1crypto 1.5.1 py39haa95532_0
astroid 2.9.0 py39haa95532_0
astropy 5.3.4 py39h9128911_0
asttokens 2.0.5 pyhd3eb1b0_0
astunparse 1.6.3 pypi_0 pypi
async-timeout 4.0.2 py39haa95532_0
async_generator 1.10 pyhd3eb1b0_0
atomicwrites 1.4.0 py_0
attrs 23.1.0 py39haa95532_0
automat 20.2.0 py_0
autopep8 1.6.0 pyhd3eb1b0_1
aws-c-common 0.4.57 ha925a31_1
aws-c-event-stream 0.1.6 hd77b12b_5
aws-checksums 0.1.9 ha925a31_0
aws-sdk-cpp 1.8.185 hd77b12b_0
babel 2.11.0 py39haa95532_0
backcall 0.2.0 pyhd3eb1b0_0
backports 1.1 pyhd3eb1b0_0
backports.functools_lru_cache 1.6.4 pyhd3eb1b0_0
backports.shutil_get_terminal_size 1.0.0 pyhd3eb1b0_3
backports.tempfile 1.0 pyhd3eb1b0_1
backports.weakref 1.0.post1 py_1
bcrypt 3.2.0 py39h2bbff1b_1
beautifulsoup4 4.12.2 py39haa95532_0
binaryornot 0.4.4 pyhd3eb1b0_1
bitarray 2.5.1 py39h2bbff1b_0
bkcharts 0.2 py39haa95532_1
black 23.3.0 py39haa95532_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
blinker 1.6.2 pyhd8ed1ab_0 conda-forge
blosc 1.21.3 h6c2663c_0
bokeh 2.4.3 py39haa95532_0
boltons 23.0.0 py39haa95532_0
boost-cpp 1.73.0 h2bbff1b_12
boto 2.49.0 py39haa95532_0
boto3 1.26.76 py39haa95532_0
botocore 1.29.76 py39haa95532_0
bottleneck 1.3.5 py39h080aedc_0
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
brotlipy 0.7.0 py39h2bbff1b_1003
bzip2 1.0.8 he774522_0
c-ares 1.19.0 h2bbff1b_0
c-blosc2 2.8.0 hd77b12b_0
ca-certificates 2023.08.22 haa95532_0
cached-property 1.5.2 py_0
cachetools 5.3.1 pypi_0 pypi
certifi 2023.7.22 py39haa95532_0
cffi 1.15.1 py39h2bbff1b_3
cfitsio 3.470 h2bbff1b_7
chardet 4.0.0 py39haa95532_1003
charls 2.2.0 h6c2663c_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.0.4 py39haa95532_0
cloudpickle 2.2.1 py39haa95532_0
clyent 1.2.2 py39haa95532_1
colorama 0.4.6 py39haa95532_0
comtypes 1.1.14 py39haa95532_0
conda 23.9.0 py39haa95532_0
conda-build 3.27.0 py39haa95532_0
conda-content-trust 0.1.1 pyhd3eb1b0_0
conda-index 0.3.0 py39haa95532_0
conda-libmamba-solver 23.7.0 py39haa95532_0
conda-pack 0.6.0 pyhd3eb1b0_0
conda-package-handling 2.2.0 py39haa95532_0
conda-package-streaming 0.9.0 py39haa95532_0
conda-repo-cli 1.0.5 py39haa95532_0
conda-token 0.4.0 pyhd3eb1b0_0
conda-verify 3.4.2 py_1
console_shortcut 0.1.1 4
contextlib2 21.6.0 py39haa95532_0
cookiecutter 1.7.3 pyhd3eb1b0_0
cryptography 39.0.1 py39h21b164f_0
cssselect 1.1.0 pyhd3eb1b0_0
curl 8.1.1 he2ea4bf_2
cycler 0.11.0 pyhd3eb1b0_0
cython 3.0.0 py39h2bbff1b_0
cytoolz 0.12.0 py39h2bbff1b_0
daal4py 2023.1.1 py39h757b272_0
dal 2023.1.1 h59b6b97_48681
dask 2022.2.1 pyhd3eb1b0_0
dask-core 2022.2.1 pyhd3eb1b0_0
dataclasses 0.8 pyh6d0b6a4_7
dataclasses-json 0.6.0 pypi_0 pypi
debugpy 1.6.7 py39hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
diff-match-patch 20200713 pyhd3eb1b0_0
distributed 2022.2.1 pyhd3eb1b0_0
docutils 0.18.1 py39haa95532_3
editables 0.3 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 py39haa95532_0
et_xmlfile 1.1.0 py39haa95532_0
exceptiongroup 1.0.4 py39haa95532_0
executing 0.8.3 pyhd3eb1b0_0
fastcache 1.1.0 py39h196d8e1_0
filelock 3.9.0 py39haa95532_0
flake8 4.0.1 pyhd3eb1b0_1
flask 2.2.2 py39haa95532_0
flatbuffers 23.5.26 pypi_0 pypi
fmt 9.1.0 h6d14046_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
frozenlist 1.3.3 py39h2bbff1b_0
fsspec 2023.9.2 py39haa95532_0
future 0.18.3 py39haa95532_0
gast 0.4.0 pypi_0 pypi
geos 3.8.0 h33f27b4_0
get_terminal_size 1.0.0 h38e98db_0
gevent 22.10.2 py39h2bbff1b_0
gflags 2.2.2 ha925a31_0
giflib 5.2.1 h8cc25b3_3
glib 2.69.1 h5dc1a3c_2
glob2 0.7 pyhd3eb1b0_0
glog 0.5.0 hd77b12b_0
google-auth 2.23.0 pypi_0 pypi
google-auth-oauthlib 1.0.0 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
greenlet 2.0.1 py39hd77b12b_0
grpcio 1.58.0 pypi_0 pypi
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
h5py 3.7.0 py39h3de5c98_0
hatchling 1.18.0 pyhd8ed1ab_0 conda-forge
hdf5 1.10.6 h1756f20_1
heapdict 1.0.1 pyhd3eb1b0_0
html5lib 1.1 pyhd3eb1b0_0
hyperlink 21.0.0 pyhd3eb1b0_0
icc_rt 2022.1.0 h6049295_2
icu 58.2 ha925a31_3
idna 3.4 py39haa95532_0
imagecodecs 2021.8.26 py39h319e4f4_2
imageio 2.31.4 py39haa95532_0
imagesize 1.4.1 py39haa95532_0
importlib-metadata 6.0.0 py39haa95532_0
importlib_metadata 6.0.0 hd3eb1b0_0
incremental 21.3.0 pyhd3eb1b0_0
inflection 0.5.1 py39haa95532_0
iniconfig 1.1.1 pyhd3eb1b0_0
intake 0.6.2 pyhd3eb1b0_0
intel-openmp 2023.1.0 h59b6b97_46319
intervaltree 3.1.0 pyhd3eb1b0_0
ipykernel 6.15.2 py39haa95532_0
ipython 7.31.1 py39haa95532_1
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 8.0.4 py39haa95532_0
isort 5.9.3 pyhd3eb1b0_0
itemadapter 0.3.0 pyhd3eb1b0_0
itemloaders 1.0.4 pyhd3eb1b0_1
itsdangerous 2.0.1 pyhd3eb1b0_0
jaraco.classes 3.2.1 pyhd3eb1b0_0
jdcal 1.4.1 pyhd3eb1b0_0
jedi 0.18.1 py39haa95532_1
jellyfish 1.0.1 py39h36a85e1_0
jinja2 3.1.2 py39haa95532_0
jinja2-time 0.2.0 pyhd3eb1b0_3
jmespath 0.10.0 pyhd3eb1b0_0
joblib 1.2.0 py39haa95532_0
jpeg 9e h2bbff1b_1
jq 1.6 haa95532_1
json5 0.9.6 pyhd3eb1b0_0
jsonpatch 1.32 pyhd3eb1b0_0
jsonpointer 2.1 pyhd3eb1b0_0
jsonschema 4.17.3 py39haa95532_0
jupyter 1.0.0 py39haa95532_8
jupyter_client 7.4.9 py39haa95532_0
jupyter_console 6.6.3 py39haa95532_0
jupyter_core 5.3.0 py39haa95532_0
jupyter_server 1.4.1 py39haa95532_0
jupyterlab 3.3.2 pyhd3eb1b0_0
jupyterlab_pygments 0.1.2 py_0
jupyterlab_server 2.10.3 pyhd3eb1b0_1
jupyterlab_widgets 3.0.5 py39haa95532_0
jxrlib 1.1 he774522_2
keras 2.13.1 pypi_0 pypi
keyring 23.13.1 py39haa95532_0
kiwisolver 1.4.4 py39hd77b12b_0
krb5 1.19.4 h5b6d351_0
lazy-object-proxy 1.6.0 py39h2bbff1b_0
lcms2 2.12 h83e58a3_0
lerc 3.0 hd77b12b_0
libaec 1.0.4 h33f27b4_1
libarchive 3.6.2 h2033e3e_1
libboost 1.73.0 h6c2663c_12
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libclang 16.0.6 pypi_0 pypi
libclang13 14.0.6 default_h8e68704_1
libcurl 8.1.1 h86230a5_2
libdeflate 1.17 h2bbff1b_0
libevent 2.1.12 hcc03200_0
libffi 3.4.4 hd77b12b_0
libiconv 1.16 h2bbff1b_2
liblief 0.12.3 hd77b12b_0
libllvm14 14.0.6 h4157e71_3
libmamba 1.4.1 h214f63a_0
libmambapy 1.4.1 py39h214f63a_0
libogg 1.3.5 h2bbff1b_1
libpng 1.6.39 h8cc25b3_0
libprotobuf 3.20.3 h23ce68f_0
libsodium 1.0.18 h62dcd97_0
libsolv 0.7.22 h23ce68f_0
libspatialindex 1.9.3 h6c2663c_0
libssh2 1.10.0 hcd4344a_2
libthrift 0.15.0 he49ee6e_2
libtiff 4.5.0 h6c2663c_2
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 hbc33d0d_1
libwebp-base 1.2.4 h2bbff1b_1
libxml2 2.10.3 h0ad7f3c_0
libxslt 1.1.37 h2bbff1b_0
libzopfli 1.0.3 ha925a31_0
llvmlite 0.41.0 py39hf2fb9eb_0
locket 1.0.0 py39haa95532_0
lxml 4.9.2 py39h2bbff1b_0
lz4-c 1.9.4 h2bbff1b_0
lzo 2.10 he774522_2
m2-msys2-runtime 2.5.0.17080.65c939c 3
m2-patch 2.7.5 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
mailerlite-api-python 0.10.0 pypi_0 pypi
markupsafe 2.1.1 py39h2bbff1b_0
marshmallow 3.20.1 pyhd8ed1ab_0 conda-forge
marshmallow-enum 1.5.1 pyh9f0ad1d_3 conda-forge
matplotlib 3.5.3 py39haa95532_0
matplotlib-base 3.5.3 py39hd77b12b_0
matplotlib-inline 0.1.6 py39haa95532_0
mccabe 0.7.0 pyhd3eb1b0_0
menuinst 1.4.19 py39h59b6b97_0
mistune 0.8.4 py39h2bbff1b_1000
mkl 2023.1.0 h8bd8f75_46356
mkl-service 2.4.0 py39h2bbff1b_1
mkl_fft 1.3.8 py39h2bbff1b_0
mkl_random 1.2.4 py39h59b6b97_0
mock 4.0.3 pyhd3eb1b0_0
more-itertools 8.12.0 pyhd3eb1b0_0
mpmath 1.3.0 py39haa95532_0
msgpack-python 1.0.3 py39h59b6b97_0
msys2-conda-epoch 20160418 1
multidict 6.0.2 py39h2bbff1b_0
multipledispatch 0.6.0 py39haa95532_0
munkres 1.1.4 py_0
mws 0.8.15 pypi_0 pypi
mypy_extensions 1.0.0 py39haa95532_0
navigator-updater 0.4.0 py39haa95532_1
nbclassic 0.2.6 pyhd3eb1b0_0
nbclient 0.5.13 py39haa95532_0
nbconvert 6.4.4 py39haa95532_0
nbformat 5.1.3 pyhd3eb1b0_0
nest-asyncio 1.5.6 py39haa95532_0
networkx 3.1 py39haa95532_0
nltk 3.8.1 py39haa95532_0
nose 1.3.7 pyhd3eb1b0_1008
notebook 6.4.12 py39haa95532_0
numba 0.58.0 py39h4ed8f06_0
numexpr 2.8.7 py39h2cd9be0_0
numpy 1.25.2 py39h055cbcc_0
numpy-base 1.25.2 py39h65a83cf_0
numpydoc 1.5.0 py39haa95532_0
oauthlib 3.2.2 pyhd8ed1ab_0 conda-forge
olefile 0.46 pyhd3eb1b0_0
openjpeg 2.4.0 h4fc8c34_0
openpyxl 3.0.10 py39h2bbff1b_0
openssl 1.1.1w h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
orc 1.7.4 h623e30f_1
packaging 23.1 py39haa95532_0
pandas 1.5.3 py39hf11a4ad_0
pandocfilters 1.5.0 pyhd3eb1b0_0
paramiko 2.8.1 pyhd3eb1b0_0
parsel 1.6.0 py39haa95532_0
parso 0.8.3 pyhd3eb1b0_0
partd 1.2.0 pyhd3eb1b0_1
path 16.2.0 pyhd3eb1b0_0
path.py 12.5.0 hd3eb1b0_0
pathlib 1.0.1 pyhd3eb1b0_1
pathlib2 2.3.6 py39haa95532_2
pathspec 0.10.3 py39haa95532_0
patsy 0.5.3 py39haa95532_0
pcre 8.45 hd77b12b_0
pcre2 10.37 h0ff8eda_1
pep8 1.7.1 py39haa95532_1
pexpect 4.8.0 pyhd3eb1b0_3
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 9.4.0 py39hd77b12b_0
pip 23.3 py39haa95532_0
pkce 1.0.3 py39haa95532_0
pkginfo 1.9.6 py39haa95532_0
platformdirs 3.10.0 py39haa95532_0
pluggy 1.0.0 py39haa95532_1
ply 3.11 py39haa95532_0
pooch 1.4.0 pyhd3eb1b0_0
powershell_shortcut 0.0.1 3
poyo 0.5.0 pyhd3eb1b0_0
proj 8.2.1 h5ed7ab8_0
prometheus_client 0.14.1 py39haa95532_0
prompt-toolkit 3.0.36 py39haa95532_0
prompt_toolkit 3.0.36 hd3eb1b0_0
protego 0.1.16 py_0
protobuf 4.24.3 pypi_0 pypi
psutil 5.9.0 py39h2bbff1b_0
ptyprocess 0.7.0 pyhd3eb1b0_2
pulp 2.7.0 pypi_0 pypi
pure_eval 0.2.2 pyhd3eb1b0_0
py 1.11.0 pyhd3eb1b0_0
py-cpuinfo 8.0.0 pyhd3eb1b0_1
py-lief 0.12.3 py39hd77b12b_0
pyasn1 0.4.8 pyhd3eb1b0_0
pyasn1-modules 0.2.8 py_0
pybind11-abi 4 hd3eb1b0_1
pycodestyle 2.8.0 pyhd3eb1b0_0
pycosat 0.6.6 py39h2bbff1b_0
pycparser 2.21 pyhd3eb1b0_0
pycurl 7.45.2 py39hcd4344a_0
pydantic 1.10.12 py39h2bbff1b_1
pydocstyle 6.3.0 py39haa95532_0
pyerfa 2.0.0 py39h2bbff1b_0
pyflakes 2.4.0 pyhd3eb1b0_0
pygments 2.15.1 py39haa95532_1
pyjwt 2.4.0 py39haa95532_0
pylint 2.12.2 py39haa95532_1
pyls-spyder 0.4.0 pyhd3eb1b0_0
pynacl 1.5.0 py39h8cc25b3_0
pyodbc 4.0.39 py39hd77b12b_0
pyopenssl 23.2.0 py39haa95532_0
pyparsing 3.0.9 py39haa95532_0
pyproj 3.6.0 pypi_0 pypi
pyqt 5.15.7 py39hd77b12b_0
pyqt5-sip 12.11.0 py39hd77b12b_0
pyqtwebengine 5.15.7 py39hd77b12b_0
pyreadline 2.1 py39haa95532_1
pyrsistent 0.18.0 py39h196d8e1_0
pysocks 1.7.1 py39haa95532_0
pytables 3.8.0 py39ha4dc190_2
pytest 7.4.0 py39haa95532_0
python 3.9.18 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-dotenv 0.21.0 py39haa95532_0
python-libarchive-c 2.9 pyhd3eb1b0_1
python-lsp-black 1.2.1 py39haa95532_0
python-lsp-jsonrpc 1.0.0 pyhd3eb1b0_0
python-lsp-server 1.5.0 py39haa95532_0
python-slugify 5.0.2 pyhd3eb1b0_0
pytz 2023.3.post1 py39haa95532_0
pywavelets 1.4.1 py39h2bbff1b_0
pywin32 305 py39h2bbff1b_0
pywin32-ctypes 0.2.0 py39haa95532_1000
pywinpty 2.0.10 py39h5da7b33_0
pyyaml 6.0 py39h2bbff1b_1
pyzmq 23.2.0 py39hd77b12b_0
qdarkstyle 3.0.2 pyhd3eb1b0_0
qstylizer 0.1.10 pyhd3eb1b0_0
qt 5.15.7 haa95532_0
qt-main 5.15.2 he8e5bd7_8
qt-webengine 5.15.9 hb9a9bb5_5
qtawesome 1.2.2 py39haa95532_0
qtconsole 5.3.2 py39haa95532_0
qtpy 2.2.0 py39haa95532_0
qtwebkit 5.212 h2bbfb41_5
re2 2022.04.01 hd77b12b_0
regex 2023.10.3 py39h2bbff1b_0
reproc 14.2.4 hd77b12b_1
reproc-cpp 14.2.4 hd77b12b_1
requests 2.31.0 py39haa95532_0
requests-file 1.5.1 pyhd3eb1b0_0
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
rope 0.22.0 pyhd3eb1b0_0
rsa 4.9 pypi_0 pypi
rtree 1.0.1 py39h2eaa2aa_0
ruamel.yaml 0.17.21 py39h2bbff1b_0
ruamel.yaml.clib 0.2.6 py39h2bbff1b_1
ruamel_yaml 0.17.21 py39h2bbff1b_0
s3transfer 0.6.0 py39haa95532_0
sacremoses 0.0.43 pyhd3eb1b0_0
scikit-image 0.19.3 py39hd77b12b_1
scikit-learn 1.3.0 py39h4ed8f06_0
scikit-learn-intelex 2023.1.1 py39haa95532_0
scipy 1.11.3 py39h309d312_0
seaborn 0.12.2 py39haa95532_0
semver 2.13.0 pyhd3eb1b0_0
send2trash 1.8.0 pyhd3eb1b0_1
sentinelhub 3.9.1 pypi_0 pypi
service_identity 18.1.0 pyhd3eb1b0_1
setuptools 68.0.0 py39haa95532_0
shapely 2.0.1 py39hd7f5953_0
simplegeneric 0.8.1 py39haa95532_2
singledispatch 3.7.0 pyhd3eb1b0_1001
sip 6.6.2 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
snappy 1.1.9 h6c2663c_0
sniffio 1.2.0 py39haa95532_1
snowballstemmer 2.2.0 pyhd3eb1b0_0
sortedcollections 2.1.0 pyhd3eb1b0_0
sortedcontainers 2.4.0 pyhd3eb1b0_0
soupsieve 2.5 py39haa95532_0
sphinx 5.0.2 py39haa95532_0
sphinxcontrib 1.0 py39haa95532_1
sphinxcontrib-applehelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-devhelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-htmlhelp 2.0.0 pyhd3eb1b0_0
sphinxcontrib-jsmath 1.0.1 pyhd3eb1b0_0
sphinxcontrib-qthelp 1.0.3 pyhd3eb1b0_0
sphinxcontrib-serializinghtml 1.1.5 pyhd3eb1b0_0
sphinxcontrib-websupport 1.2.4 py_0
spyder 5.3.3 py39haa95532_0
spyder-kernels 2.3.3 py39haa95532_0
sqlalchemy 2.0.21 py39h2bbff1b_0
sqlite 3.41.2 h2bbff1b_0
stack_data 0.2.0 pyhd3eb1b0_0
statsmodels 0.14.0 py39h9128911_0
stringcase 1.2.0 py_0 conda-forge
sympy 1.11.1 py39haa95532_0
tbb 2021.8.0 h59b6b97_0
tbb4py 2021.8.0 py39h59b6b97_0
tblib 1.7.0 pyhd3eb1b0_0
tensorboard 2.13.0 pypi_0 pypi
tensorboard-data-server 0.7.1 pypi_0 pypi
tensorflow 2.13.0 pypi_0 pypi
tensorflow-estimator 2.13.0 pypi_0 pypi
tensorflow-intel 2.13.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.31.0 pypi_0 pypi
termcolor 2.3.0 pypi_0 pypi
terminado 0.17.1 py39haa95532_0
testpath 0.6.0 py39haa95532_0
text-unidecode 1.3 pyhd3eb1b0_0
textdistance 4.2.1 pyhd3eb1b0_0
threadpoolctl 2.2.0 pyh0d69192_0
three-merge 0.1.1 pyhd3eb1b0_0
tifffile 2023.3.21 pypi_0 pypi
tinycss 0.4 pyhd3eb1b0_1002
tk 8.6.12 h2bbff1b_0
tldextract 3.2.0 pyhd3eb1b0_0
toml 0.10.2 pyhd3eb1b0_0
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
tomli-w 1.0.0 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 py39haa95532_0
tornado 6.3.3 py39h2bbff1b_0
tqdm 4.65.0 py39hd4e2768_0
traitlets 5.7.1 py39haa95532_0
transformers 2.1.1 pyhd3eb1b0_0
trove-classifiers 2023.8.7 pyhd8ed1ab_0 conda-forge
typed-ast 1.4.3 py39h2bbff1b_1
typeform 1.1.0 pypi_0 pypi
typing-extensions 4.5.0 pypi_0 pypi
typing_extensions 4.7.1 py39haa95532_0
typing_inspect 0.9.0 pyhd8ed1ab_0 conda-forge
tzdata 2023c h04d1e81_0
ujson 5.4.0 py39hd77b12b_0
unicodecsv 0.14.1 py39haa95532_0
unidecode 1.2.0 pyhd3eb1b0_0
urllib3 1.26.16 py39haa95532_0
utf8proc 2.6.1 h2bbff1b_0
utm 0.7.0 pyhd8ed1ab_0 conda-forge
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
w3lib 1.21.0 pyhd3eb1b0_0
watchdog 2.1.6 py39haa95532_0
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py39haa95532_1
werkzeug 2.2.3 py39haa95532_0
whatthepatch 1.0.2 py39haa95532_0
wheel 0.41.2 py39haa95532_0
whichcraft 0.6.1 pyhd3eb1b0_0
widgetsnbextension 4.0.5 py39haa95532_0
win_inet_pton 1.1.0 py39haa95532_0
win_unicode_console 0.5 py39haa95532_0
wincertstore 0.2 py39haa95532_2
winpty 0.4.3 4
wrapt 1.13.3 py39h2bbff1b_2
xlrd 2.0.1 pyhd3eb1b0_1
xlsxwriter 3.1.2 pypi_0 pypi
xlwings 0.29.1 py39haa95532_0
xlwt 1.3.0 py39haa95532_0
xz 5.4.2 h8cc25b3_0
yaml 0.2.5 he774522_0
yaml-cpp 0.7.0 hd77b12b_1
yapf 0.31.0 pyhd3eb1b0_0
yarl 1.8.1 py39h2bbff1b_0
zeromq 4.3.4 hd77b12b_0
zfp 0.5.5 hd77b12b_6
zict 2.1.0 py39haa95532_0
zipp 3.11.0 py39haa95532_0
zlib 1.2.13 h8cc25b3_0
zlib-ng 2.0.7 h2bbff1b_0
zope 1.0 py39haa95532_1
zope.event 4.5.0 py39haa95532_0
zope.interface 5.4.0 py39h2bbff1b_0
zstandard 0.19.0 py39h2bbff1b_0
zstd 1.5.5 hd43e919_0


Hi,

I tried to reproduce your error with a conda environment, but it was not successful. I would suggest creating a new conda environment and install sentinelhub library, then give it a try.

Below is a list of packages installed in my conda environment and it works for me without any issue:

# Name                    Version                   Build  Channel
aenum 3.1.15 pyhd8ed1ab_0 conda-forge
aom 3.6.1 h63175ca_0 conda-forge
asttokens 2.4.1 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_3 conda-forge
backports.functools_lru_cache 1.6.5 pyhd8ed1ab_0 conda-forge
blinker 1.6.3 pyhd8ed1ab_0 conda-forge
blosc 1.21.5 hdccc3a2_0 conda-forge
boto3 1.28.71 pyhd8ed1ab_0 conda-forge
botocore 1.31.72 pyhd8ed1ab_0 conda-forge
brotli 1.1.0 hcfcfb64_1 conda-forge
brotli-bin 1.1.0 hcfcfb64_1 conda-forge
brotli-python 1.1.0 py39h99910a6_1 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
c-blosc2 2.10.5 h183a6f4_0 conda-forge
ca-certificates 2023.7.22 h56e8100_0 conda-forge
certifi 2023.7.22 pyhd8ed1ab_0 conda-forge
cffi 1.16.0 py39ha55989b_0 conda-forge
charls 2.4.2 h1537add_0 conda-forge
charset-normalizer 3.3.1 pyhd8ed1ab_0 conda-forge
click 8.1.7 win_pyh7428d3b_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
comm 0.1.4 pyhd8ed1ab_0 conda-forge
contourpy 1.1.1 py39h1f6ef14_1 conda-forge
cryptography 41.0.5 py39hb6bd5e6_0 conda-forge
cycler 0.12.1 pyhd8ed1ab_0 conda-forge
dataclasses-json 0.5.7 pyhd8ed1ab_0 conda-forge
dav1d 1.2.1 hcfcfb64_0 conda-forge
debugpy 1.8.0 py39h99910a6_1 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
editables 0.3 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.1.3 pyhd8ed1ab_0 conda-forge
executing 1.2.0 pyhd8ed1ab_0 conda-forge
fonttools 4.43.1 py39ha55989b_0 conda-forge
freetype 2.12.1 hdaf720e_2 conda-forge
geos 3.12.0 h1537add_0 conda-forge
gettext 0.21.1 h5728263_0 conda-forge
giflib 5.2.1 h64bf75a_3 conda-forge
glib 2.78.0 h12be248_0 conda-forge
glib-tools 2.78.0 h12be248_0 conda-forge
gst-plugins-base 1.22.6 h001b923_2 conda-forge
gstreamer 1.22.6 hb4038d2_2 conda-forge
hatchling 1.18.0 pyhd8ed1ab_0 conda-forge
icu 73.2 h63175ca_0 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
imagecodecs 2023.9.18 py39h445c58b_2 conda-forge
importlib-metadata 6.8.0 pyha770c72_0 conda-forge
importlib-resources 6.1.0 pyhd8ed1ab_0 conda-forge
importlib_metadata 6.8.0 hd8ed1ab_0 conda-forge
importlib_resources 6.1.0 pyhd8ed1ab_0 conda-forge
intel-openmp 2023.2.0 h57928b3_50497 conda-forge
ipykernel 6.26.0 pyha63f2e9_0 conda-forge
ipython 8.16.1 pyh5737063_0 conda-forge
jedi 0.19.1 pyhd8ed1ab_0 conda-forge
jmespath 1.0.1 pyhd8ed1ab_0 conda-forge
jupyter_client 8.5.0 pyhd8ed1ab_0 conda-forge
jupyter_core 5.4.0 py39hcbf5309_0 conda-forge
jxrlib 1.1 h8ffe710_2 conda-forge
kiwisolver 1.4.5 py39h1f6ef14_1 conda-forge
krb5 1.21.2 heb0366b_0 conda-forge
lcms2 2.15 h67d730c_3 conda-forge
lerc 4.0.0 h63175ca_0 conda-forge
libaec 1.1.2 h63175ca_1 conda-forge
libavif 1.0.1 hea6d26e_2 conda-forge
libblas 3.9.0 19_win64_mkl conda-forge
libbrotlicommon 1.1.0 hcfcfb64_1 conda-forge
libbrotlidec 1.1.0 hcfcfb64_1 conda-forge
libbrotlienc 1.1.0 hcfcfb64_1 conda-forge
libcblas 3.9.0 19_win64_mkl conda-forge
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munkres 1.1.4 pyh9f0ad1d_0 conda-forge
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pillow 10.1.0 py39h368b509_0 conda-forge
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pycparser 2.21 pyhd8ed1ab_0 conda-forge
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pyqt 5.15.9 py39hb77abff_5 conda-forge
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python 3.9.18 h4de0772_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.9 4_cp39 conda-forge
pywin32 306 py39h99910a6_2 conda-forge
pyzmq 25.1.1 py39h7eaf5a6_2 conda-forge
qt-main 5.15.8 h9e85ed6_17 conda-forge
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requests 2.31.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
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sqlite 3.43.2 hcfcfb64_0 conda-forge
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tbb 2021.10.0 h91493d7_2 conda-forge
tifffile 2021.7.2 pyhd3eb1b0_2
tk 8.6.13 hcfcfb64_0 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
tomli-w 1.0.0 pyhd8ed1ab_0 conda-forge
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tqdm 4.66.1 pyhd8ed1ab_0 conda-forge
traitlets 5.12.0 pyhd8ed1ab_0 conda-forge
trove-classifiers 2023.10.18 pyhd8ed1ab_0 conda-forge
typing-extensions 4.8.0 hd8ed1ab_0 conda-forge
typing_extensions 4.8.0 pyha770c72_0 conda-forge
typing_inspect 0.9.0 pyhd8ed1ab_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
ucrt 10.0.22621.0 h57928b3_0 conda-forge
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urllib3 1.26.18 pyhd8ed1ab_0 conda-forge
utm 0.7.0 pyhd8ed1ab_0 conda-forge
vc 14.3 h64f974e_17 conda-forge
vc14_runtime 14.36.32532 hdcecf7f_17 conda-forge
vs2015_runtime 14.36.32532 h05e6639_17 conda-forge
wcwidth 0.2.8 pyhd8ed1ab_0 conda-forge
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win_inet_pton 1.1.0 pyhd8ed1ab_6 conda-forge
xorg-libxau 1.0.11 hcd874cb_0 conda-forge
xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xz 5.2.6 h8d14728_0 conda-forge
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zfp 1.0.0 h63175ca_4 conda-forge
zipp 3.17.0 pyhd8ed1ab_0 conda-forge
zlib-ng 2.0.7 hcfcfb64_0 conda-forge
zstd 1.5.5 h12be248_0 conda-forge

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